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2018:MITtechreview Intelligent Machines Evolutionary algorithm outperforms deep-learning machines at video games
Sapienz:2018:sigevolution Evolutionary Algorithms for Software Testing in Facebook
https___www.youtube.com_watch_v_j3eV8NiWLg4 https://www.youtube.com/watch?v=j3eV8NiWLg4
http___www.sigevolution.org_issues_SIGEVOlution1102.pdf http://www.sigevolution.org/issues/SIGEVOlution1102.pdf
http___dx.doi.org_10.1145_3264700.3264702 http://dx.doi.org/10.1145/3264700.3264702
glasilo_1_16_ang Store Steel 165 years
http___www.store-steel.si_Data_InterniInformativniCasopis_glasilo_1_16_ang.pdf http://www.store-steel.si/Data/InterniInformativniCasopis/glasilo_1_16_ang.pdf
ababsa:2018:IJAC Genetic programming-based self-reconfiguration planning for metamorphic robot
TarekAbabsa.html
NoureddineDjedl.html
YvesDuthen.html
http___link.springer.com_article_10.1007_s11633-016-1049-4 http://link.springer.com/article/10.1007/s11633-016-1049-4
http___dx.doi.org_10.1007_s11633-016-1049-4 http://dx.doi.org/10.1007/s11633-016-1049-4
Ababsa:2022:ISNIB A SIMD Interpreter for Linear Genetic Programming
TarekAbabsa.html
http___dx.doi.org_10.1109_ISNIB57382.2022.10075819 http://dx.doi.org/10.1109/ISNIB57382.2022.10075819
Abarghouei:2009:SOCPAR A Survey of Pattern Recognition Applications in Cancer Diagnosis
AmirAtapourAbarghouei.html
AfshinGhanizadeh.html
SamanSinaie.html
SitiMariyamShamsuddin.html
http___dx.doi.org_10.1109_SoCPaR.2009.93 http://dx.doi.org/10.1109/SoCPaR.2009.93
ABBA:2020:JH Evolutionary computational intelligence algorithm coupled with self-tuning predictive model for water quality index determination
SIAbba.html
SinanJasimHadi.html
SaadShSammen.html
SinanQSalih.html
RabiuAAbdulkadir.html
QuocBaoPham.html
ZaherMundherYaseen.html
http___dx.doi.org_10.1016_j.jhydrol.2020.124974 http://dx.doi.org/10.1016/j.jhydrol.2020.124974
http___www.sciencedirect.com_science_article_pii_S0022169420304340 http://www.sciencedirect.com/science/article/pii/S0022169420304340
journals/iajit/AbbasiSA14 Multi Block based Image Watermarking in Wavelet Domain Using Genetic Programming
AlmasAbbasi.html
WooChawSeng.html
ImranShafiqAhmad.html
http___ccis2k.org_iajit__option_com_content_amp_task_blogcategory_amp_id_94_amp_Itemid_364 http://ccis2k.org/iajit/?option=com_content&task=blogcategory&id=94&Itemid=364
https___iajit.org_PDF_vol.11_no.6_6348.pdf https://iajit.org/PDF/vol.11,no.6/6348.pdf
https___www.semanticscholar.org_paper_Multi-block-based-image-watermarking-in-wavelet-do-Abbasi-Seng_f7172a8a0b6d15ddedf81fc5a98117ff2078a89c https://www.semanticscholar.org/paper/Multi-block-based-image-watermarking-in-wavelet-do-Abbasi-Seng/f7172a8a0b6d15ddedf81fc5a98117ff2078a89c
DBLP:conf/ssci/AbbasiAW21 Automated Behavior-based Malice Scoring of Ransomware Using Genetic Programming
MuhammadShabbirAbbasi.html
HarithAl-Sahaf.html
IanWelch.html
https___dblp.org_rec_conf_ssci_AbbasiAW21.bib https://dblp.org/rec/conf/ssci/AbbasiAW21.bib
https___doi.org_10.1109_SSCI50451.2021.9660009 https://doi.org/10.1109/SSCI50451.2021.9660009
http___dx.doi.org_10.1109_SSCI50451.2021.9660009 http://dx.doi.org/10.1109/SSCI50451.2021.9660009
Abbaspour:2013:WSE Estimation of hydraulic jump on corrugated bed using artificial neural networks and genetic programming
AkramAbbaspour.html
DavoodFarsadizadeh.html
MohammadAliGhorbani.html
http___dx.doi.org_10.3882_j.issn.1674-2370.2013.02.007 http://dx.doi.org/10.3882/j.issn.1674-2370.2013.02.007
http___www.sciencedirect.com_science_article_pii_S1674237015302362 http://www.sciencedirect.com/science/article/pii/S1674237015302362
Abbass:2002:WCCI AntTAG: A New Method to Compose Computer Programs Using Colonies of Ants
HusseinAAbbass.html
NguyenXuanHoai.html
RI_Bob_McKay.html
http___dx.doi.org_10.1109_CEC.2002.1004490 http://dx.doi.org/10.1109/CEC.2002.1004490
http___sc.snu.ac.kr_PAPERS_TAGACOcec02.pdf http://sc.snu.ac.kr/PAPERS/TAGACOcec02.pdf
abbod2007 Evolutionary Computing for Metals Properties Modelling
MaysamFAbbod.html
MahdiMahfouf.html
DerekALinkens.html
MikeSellars.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.1011.6271 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.1011.6271
http___www.scientific.net_MSF.539-543.2449.pdf http://www.scientific.net/MSF.539-543.2449.pdf
http___dx.doi.org_10.4028_www.scientific.net_MSF.539-543.2449 http://dx.doi.org/10.4028/www.scientific.net/MSF.539-543.2449
Abbona:2020:CEC A GP Approach for Precision Farming
FrancescaAbbona.html
LeonardoVanneschi.html
MarcoBona.html
MarioGiacobini.html
http___dx.doi.org_10.1109_CEC48606.2020.9185637 http://dx.doi.org/10.1109/CEC48606.2020.9185637
ABBONA:2020:LS Towards modelling beef cattle management with Genetic Programming
FrancescaAbbona.html
LeonardoVanneschi.html
MarcoBona.html
MarioGiacobini.html
http___dx.doi.org_10.1016_j.livsci.2020.104205 http://dx.doi.org/10.1016/j.livsci.2020.104205
http___www.sciencedirect.com_science_article_pii_S1871141320302481 http://www.sciencedirect.com/science/article/pii/S1871141320302481
abbona:2022:AS Towards a Vectorial Approach to Predict Beef Farm Performance
FrancescaAbbona.html
LeonardoVanneschi.html
MarioGiacobini.html
https___www.mdpi.com_2076-3417_12_3_1137 https://www.mdpi.com/2076-3417/12/3/1137
http___dx.doi.org_10.3390_app12031137 http://dx.doi.org/10.3390/app12031137
aicsu-91:abbot Niches as a GA divide-and-conquer strategy
RussellJAbbott.html
abbott:2003:OOGP Object-Oriented Genetic Programming, An Initial Implementation
RussellJAbbott.html
http___abbott.calstatela.edu_PapersAndTalks_OOGP.pdf http://abbott.calstatela.edu/PapersAndTalks/OOGP.pdf
abbott:2003:MLMTA Guided Genetic Programming
RussellJAbbott.html
JiangGuo.html
BehzadParviz.html
http___abbott.calstatela.edu_PapersAndTalks_Guided_20Genetic_20Programming.pdf http://abbott.calstatela.edu/PapersAndTalks/Guided%20Genetic%20Programming.pdf
DBLP:conf/icai/AbbottPS04 Genetic Programming Reconsidered
RussellJAbbott.html
BehzadParviz.html
ChengyuSun.html
http___abbott.calstatela.edu_PapersAndTalks_GeneticProgrammingReconsidered.pdf http://abbott.calstatela.edu/PapersAndTalks/GeneticProgrammingReconsidered.pdf
https___dblp.org_rec_conf_icai_AbbottPS04.html_view_bibtex https://dblp.org/rec/conf/icai/AbbottPS04.html?view=bibtex
abdel-kader:2022:Infrastructures (AI) in Infrastructure Projects-Gap Study
MohamedYAbdel-Kader.html
AhmedMEbid.html
KennedyCOnyelowe.html
IbrahimMMahdi.html
IbrahimAbdel-Rasheed.html
https___www.mdpi.com_2412-3811_7_10_137 https://www.mdpi.com/2412-3811/7/10/137
http___dx.doi.org_10.3390_infrastructures7100137 http://dx.doi.org/10.3390/infrastructures7100137
ABDELALEEM:2022:tws Interpretable soft computing predictions of elastic shear buckling in tapered steel plate girders
BasemHAbdelAleem.html
MohamedKIsmail.html
MayHaggag.html
WaelEl-Dakhakhni.html
AssemAAHassan.html
http___dx.doi.org_10.1016_j.tws.2022.109313 http://dx.doi.org/10.1016/j.tws.2022.109313
https___www.sciencedirect.com_science_article_pii_S026382312200235X https://www.sciencedirect.com/science/article/pii/S026382312200235X
Abdelaziz:2012:SEMCCO Gene Expression Programming Algorithm for Transient Security Classification
AlmoatazYAbdelaziz.html
SaidFouadMohamedMekhiemar.html
HMKhattab.html
MohamedAbdEllatifAhmedBadr.html
BijayaKetanPanigrahi.html
http___dx.doi.org_10.1007_978-3-642-35380-2_48 http://dx.doi.org/10.1007/978-3-642-35380-2_48
http___works.bepress.com_almoataz_abdelaziz_42 http://works.bepress.com/almoataz_abdelaziz/42
Abdelbaky:2018:IJACSA Applying Machine Learning Techniques for Classifying Cyclin-Dependent Kinase Inhibitors
IbrahimZAbdelbaky.html
AhmedFAl-Sadek.html
AmrABadr.html
http___thesai.org_Downloads_Volume9No11_Paper_32-Applying_Machine_Learning_Techniques.pdf http://thesai.org/Downloads/Volume9No11/Paper_32-Applying_Machine_Learning_Techniques.pdf
http___dx.doi.org_10.14569_IJACSA.2018.091132 http://dx.doi.org/10.14569/IJACSA.2018.091132
Abdelbari:2017:ICCMS A Genetic Programming Ensemble Method for Learning Dynamical System Models
HassanAbdelbari.html
KamranShafi.html
http___doi.acm.org_10.1145_3036331.3036336 http://doi.acm.org/10.1145/3036331.3036336
http___dx.doi.org_10.1145_3036331.3036336 http://dx.doi.org/10.1145/3036331.3036336
abdelbari:2019:Systems A System Dynamics Modeling Support System Based on Computational Intelligence
HassanAbdelbari.html
KamranShafi.html
https___www.mdpi.com_2079-8954_7_4_47 https://www.mdpi.com/2079-8954/7/4/47
http___dx.doi.org_10.3390_systems7040047 http://dx.doi.org/10.3390/systems7040047
Abdelmalek:2009:JAMDS Selecting the Best Forecasting-Implied Volatility Model Using Genetic Programming
WafaAbdelmalek.html
SanaBenHamida.html
FathiAbid.html
http___downloads.hindawi.com_journals_ads_2009_179230.pdf http://downloads.hindawi.com/journals/ads/2009/179230.pdf
http___www.hindawi.com_journals_ads_2009_179230.html http://www.hindawi.com/journals/ads/2009/179230.html
http___dx.doi.org_10.1155_2009_179230 http://dx.doi.org/10.1155/2009/179230
Abdelmutalab:2016:PC Automatic modulation classification based on high order cumulants and hierarchical polynomial classifiers
AmeenAbdelmutalab.html
KhaledAssaleh.html
MohamedEl-Tarhuni.html
http___dx.doi.org_10.1016_j.phycom.2016.08.001 http://dx.doi.org/10.1016/j.phycom.2016.08.001
http___www.sciencedirect.com_science_article_pii_S1874490716301094 http://www.sciencedirect.com/science/article/pii/S1874490716301094
Abdelwhab:2018:SICE Tackling Dead End Scenarios by Improving Follow Gap Method with Genetic Programming
MohamedAhmedMahmoudAbdelwahab.html
AhmedAbouEl-Soud.html
AhmedMohamedRashadFathElbab.html
http___dx.doi.org_10.23919_SICE.2018.8492687 http://dx.doi.org/10.23919/SICE.2018.8492687
AbdGaus:thesis Artificial Intelligence System for Continuous Affect Estimation from Naturalistic Human Expressions
YonaFalinieAbdGaus.html
http___bura.brunel.ac.uk_handle_2438_16348 http://bura.brunel.ac.uk/handle/2438/16348
https___bura.brunel.ac.uk_bitstream_2438_16348_1_FulltextThesis.pdf https://bura.brunel.ac.uk/bitstream/2438/16348/1/FulltextThesis.pdf
AbdGaus:2018:ieeeFG Linear and Non-Linear Multimodal Fusion for Continuous Affect Estimation In-the-Wild
YonaFalinieAbdGaus.html
HongyingMeng.html
http___dx.doi.org_10.1109_FG.2018.00079 http://dx.doi.org/10.1109/FG.2018.00079
journals/nca/AbdolahzareM18 Nonlinear mathematical modeling of seed spacing uniformity of a pneumatic planter using genetic programming and image processing
ZahraAbdolahzare.html
SamanAbdananMehdizadeh.html
http___dx.doi.org_10.1007_s00521-016-2450-1 http://dx.doi.org/10.1007/s00521-016-2450-1
Abdou200911402 Genetic programming for credit scoring: The case of Egyptian public sector banks
HusseinAAbdou.html
http___dx.doi.org_10.1016_j.eswa.2009.01.076 http://dx.doi.org/10.1016/j.eswa.2009.01.076
http___www.sciencedirect.com_science_article_B6V03-4VJSRWK-1_2_a3b8516f289c76c474c6a1eb9d26d7ec http://www.sciencedirect.com/science/article/B6V03-4VJSRWK-1/2/a3b8516f289c76c474c6a1eb9d26d7ec
http___results.ref.ac.uk_Submissions_Output_2691591 http://results.ref.ac.uk/Submissions/Output/2691591
2009AbdouEthosPhD Credit Scoring Models for Egyptian Banks: Neural Nets and Genetic Programming versus Conventional Techniques
HusseinAAbdou.html
https___pearl.plymouth.ac.uk_bitstream_handle_10026.1_379_2009AbdouEthosPhD.pdf https://pearl.plymouth.ac.uk/bitstream/handle/10026.1/379/2009AbdouEthosPhD.pdf
http___hdl.handle.net_10026.1_379 http://hdl.handle.net/10026.1/379
http___ethos.bl.uk_OrderDetails.do_did_55_uin_uk.bl.ethos.494192 http://ethos.bl.uk/OrderDetails.do?did=55&uin=uk.bl.ethos.494192
Abdulhamid:2011:ICARA Genetic programming for evolving programs with loop structures for classification tasks
FahmiAbdulhamid.html
KouroshNeshatian.html
MengjieZhang.html
http___dx.doi.org_10.1109_ICARA.2011.6144882 http://dx.doi.org/10.1109/ICARA.2011.6144882
Abdulhamid:2012:CEC Evolving Genetic Programming Classifiers with Loop Structures
FahmiAbdulhamid.html
AndySong.html
KouroshNeshatian.html
MengjieZhang.html
http___dx.doi.org_10.1109_CEC.2012.6252877 http://dx.doi.org/10.1109/CEC.2012.6252877
abdulkarimova:2019:ajhpc The PARSEC machine: a non-Newtonian supra-linear super-computer
UlviyaAbdulkarimova.html
AnnaOuskovaLeonteva.html
ChristianRolando.html
AnneJeannin-Girardon.html
PierreCollet.html
https___publis.icube.unistra.fr_docs_14472_easeaHPC.pdf https://publis.icube.unistra.fr/docs/14472/easeaHPC.pdf
https___azjhpc.org_index.php_archives_15-paper_52-the-parsec-machine-a-non-newtonian-supra-linear-supercomputer https://azjhpc.org/index.php/archives/15-paper/52-the-parsec-machine-a-non-newtonian-supra-linear-supercomputer
http___azjhpc.com__issue4_doi.org_10.32010_26166127.2019.2.2.122.140.pdf http://azjhpc.com//issue4/doi.org:10.32010:26166127.2019.2.2.122.140.pdf
http___dx.doi.org_10.32010_26166127.2019.2.2.122.140 http://dx.doi.org/10.32010/26166127.2019.2.2.122.140
abdulkarimova:tel-03700035 SINUS-IT: an evolutionary approach to harmonic analysis
UlviyaAbdulkarimova.html
https___theses.hal.science_tel-03700035_ https://theses.hal.science/tel-03700035/
https___theses.hal.science_tel-03700035_document https://theses.hal.science/tel-03700035/document
https___theses.hal.science_tel-03700035_file_ABDULKARIMOVA_Ulviya_2021_ED269.pdf https://theses.hal.science/tel-03700035/file/ABDULKARIMOVA_Ulviya_2021_ED269.pdf
Abdullah:thesis Android Malware Detection System using Genetic Programming
NorlizaBintiAbdullah.html
https___etheses.whiterose.ac.uk_29027_ https://etheses.whiterose.ac.uk/29027/
https___etheses.whiterose.ac.uk_29027_6_Abdullah_201051902.pdf https://etheses.whiterose.ac.uk/29027/6/Abdullah_201051902.pdf
Abdul-Rahim:2006:ccis An Empirical Comparison of Code Size Limit in Auto-Constructive Artificial Life
AdzniBteAbdulRahim.html
JasonTeo.html
AzaliSaudi.html
http___dx.doi.org_10.1109_ICCIS.2006.252308 http://dx.doi.org/10.1109/ICCIS.2006.252308
Abdulrahman:2020:IJCA Classification of Retina Diseases from OCT using Genetic Programming
HadeelAbdulrahman.html
MohamedMKhatib.html
https___www.ijcaonline.org_archives_volume177_number45_abdulrahman-2020-ijca-919973.pdf https://www.ijcaonline.org/archives/volume177/number45/abdulrahman-2020-ijca-919973.pdf
http___www.ijcaonline.org_archives_volume177_number45_31212-2020919973 http://www.ijcaonline.org/archives/volume177/number45/31212-2020919973
http___dx.doi.org_10.5120_ijca2020919973 http://dx.doi.org/10.5120/ijca2020919973
Abednego:2011:ICEEI Genetic programming hyper-heuristic for solving dynamic production scheduling problem
LucianaAbednego.html
DwiHendratmo.html
http___dx.doi.org_10.1109_ICEEI.2011.6021768 http://dx.doi.org/10.1109/ICEEI.2011.6021768
Abhishek:2014:PMS Comparing Predictability of Genetic Programming and ANFIS on Drilling Performance Modeling for GFRP Composites
KumarAbhishek.html
BiranchiNarayanPanda.html
SauravDatta.html
SibaSankarMahapatra.html
http___dx.doi.org_10.1016_j.mspro.2014.07.069 http://dx.doi.org/10.1016/j.mspro.2014.07.069
http___www.sciencedirect.com_science_article_pii_S2211812814004349 http://www.sciencedirect.com/science/article/pii/S2211812814004349
Abid:2012:GPnew Dynamic Hedging Using Generated Genetic Programming Implied Volatility Models
FathiAbid.html
WafaAbdelmalek.html
SanaBenHamida.html
http___dx.doi.org_10.5772_48148 http://dx.doi.org/10.5772/48148
ABOELELA:2022:RE Estimating the subgrade reaction at deep braced excavation bed in dry granular soil using genetic programming (GP)
AbdelrahmanEAboelela.html
AhmedMEbid.html
AymanLFayed.html
http___dx.doi.org_10.1016_j.rineng.2021.100328 http://dx.doi.org/10.1016/j.rineng.2021.100328
https___www.sciencedirect.com_science_article_pii_S2590123021001298 https://www.sciencedirect.com/science/article/pii/S2590123021001298
Abooali:2014:JNGSE Estimation of dynamic viscosity of natural gas based on genetic programming methodology
DanialAbooali.html
EhsanKhamehchi.html
http___dx.doi.org_10.1016_j.jngse.2014.11.006 http://dx.doi.org/10.1016/j.jngse.2014.11.006
http___www.sciencedirect.com_science_article_pii_S1875510014003394 http://www.sciencedirect.com/science/article/pii/S1875510014003394
ABOOALI:2019:JPSE A new empirical model for estimation of crude oil/brine interfacial tension using genetic programming approach
DanialAbooali.html
MohammadAminSobati.html
ShahrokhShahhosseini.html
MehdiAssareh.html
http___dx.doi.org_10.1016_j.petrol.2018.09.073 http://dx.doi.org/10.1016/j.petrol.2018.09.073
http___www.sciencedirect.com_science_article_pii_S0920410518308283 http://www.sciencedirect.com/science/article/pii/S0920410518308283
ABOOALI:2020:Fuel Characterization of physico-chemical properties of biodiesel components using smart data mining approaches
DanialAbooali.html
RezaSoleimani.html
SaeedGholamreza-Ravi.html
http___dx.doi.org_10.1016_j.fuel.2020.117075 http://dx.doi.org/10.1016/j.fuel.2020.117075
http___www.sciencedirect.com_science_article_pii_S0016236120300703 http://www.sciencedirect.com/science/article/pii/S0016236120300703
DBLP:journals/nca/AbooaliK19 New predictive method for estimation of natural gas hydrate formation temperature using genetic programming
DanialAbooali.html
EhsanKhamehchi.html
https___doi.org_10.1007_s00521-017-3208-0 https://doi.org/10.1007/s00521-017-3208-0
http___dx.doi.org_10.1007_s00521-017-3208-0 http://dx.doi.org/10.1007/s00521-017-3208-0
https___dblp.org_rec_journals_nca_AbooaliK19.bib https://dblp.org/rec/journals/nca/AbooaliK19.bib
abraham:2003:CEC Web Usage Mining Using Artificial Ant Colony Clustering and Genetic Programming
AjithAbraham.html
VitorinoJCasteloRamos.html
http___alfa.ist.utl.pt__cvrm_staff_vramos_Vramos-CEC03b.pdf http://alfa.ist.utl.pt/~cvrm/staff/vramos/Vramos-CEC03b.pdf
http___arxiv.org_abs_cs_0412071 http://arxiv.org/abs/cs/0412071
http___dx.doi.org_10.1109_CEC.2003.1299832 http://dx.doi.org/10.1109/CEC.2003.1299832
abraham:2004:0405046 Soft Computing Models for Network Intrusion Detection Systems
AjithAbraham.html
RaviJain.html
http___www.softcomputing.net_saman2.pdf http://www.softcomputing.net/saman2.pdf
http___arxiv.org_abs_cs_0405046 http://arxiv.org/abs/cs/0405046
Abraham:2003:JIKM Business Intelligence from Web Usage Mining
AjithAbraham.html
http___www.softcomputing.net_jikm.pdf http://www.softcomputing.net/jikm.pdf
http___dx.doi.org_10.1142_S0219649203000565 http://dx.doi.org/10.1142/S0219649203000565
oai:arXiv.org:cs/0405030 Business Intelligence from Web Usage Mining
AjithAbraham.html
http___arXiv.org_abs_cs_0405030 http://arXiv.org/abs/cs/0405030
abraham:2004:ECDM Evolutionary Computation in Intelligent Network Management
AjithAbraham.html
http___www.softcomputing.net_ec_web-chapter.pdf http://www.softcomputing.net/ec_web-chapter.pdf
http___www.springeronline.com_sgw_cda_frontpage_0_11855_5-175-22-33980376-0_00.html http://www.springeronline.com/sgw/cda/frontpage/0,11855,5-175-22-33980376-0,00.html
intro:2006:GSP Evolutionary Computation: from Genetic Algorithms to Genetic Programming
AjithAbraham.html
NadiaNedjah.html
LuizadeMacedoMourelle.html
http___www.softcomputing.net_gpsystems.pdf http://www.softcomputing.net/gpsystems.pdf
http___dx.doi.org_10.1007_3-540-32498-4_1 http://dx.doi.org/10.1007/3-540-32498-4_1
abraham:2006:GSP Evolving Intrusion Detection Systems
AjithAbraham.html
CrinaGrosan.html
http___falklands.globat.com__softcomputing.net_ids-chapter.pdf http://falklands.globat.com/~softcomputing.net/ids-chapter.pdf
http___dx.doi.org_10.1007_3-540-32498-4_3 http://dx.doi.org/10.1007/3-540-32498-4_3
abraham:2005:CEC Genetic Programming Approach for Fault Modeling of Electronic Hardware
AjithAbraham.html
CrinaGrosan.html
http___www.softcomputing.net_cec05.pdf http://www.softcomputing.net/cec05.pdf
http___dx.doi.org_10.1109_CEC.2005.1554875 http://dx.doi.org/10.1109/CEC.2005.1554875
journals/jikm/AbrahamG06 Decision Support Systems Using Ensemble Genetic Programming
AjithAbraham.html
CrinaGrosan.html
http___dx.doi.org_10.1142_S0219649206001566 http://dx.doi.org/10.1142/S0219649206001566
Abraham:2007:JNCS D-SCIDS: Distributed soft computing intrusion detection system
AjithAbraham.html
RaviJain.html
JohnsonPThomas.html
SangYongHan.html
http___dx.doi.org_10.1016_j.jnca.2005.06.001 http://dx.doi.org/10.1016/j.jnca.2005.06.001
Abraham:2008:ieeeISI Real time intrusion prediction, detection and prevention programs
AjithAbraham.html
http___dx.doi.org_10.1109_ISI.2008.4565018 http://dx.doi.org/10.1109/ISI.2008.4565018
Abraham:2009:UKSIM Programming Risk Assessment Models for Online Security Evaluation Systems
AjithAbraham.html
CrinaGrosan.html
VaclavSnasel.html
http___dx.doi.org_10.1109_UKSIM.2009.75 http://dx.doi.org/10.1109/UKSIM.2009.75
Abraham:2009:IAS Hierarchical Takagi-Sugeno Models for Online Security Evaluation Systems
AjithAbraham.html
CrinaGrosan.html
HongboLiu.html
YuehuiChen.html
http___dx.doi.org_10.1109_IAS.2009.348 http://dx.doi.org/10.1109/IAS.2009.348
abrams:2000:CSAMPR Complimentary Selection as an Alternative Method for Population Reproduction
ZoeAbrams.html
abramson:1996:cccGP Classification using Cultural Co-Evolution and Genetic Programming
MyriamAbramson.html
LawrenceHunter.html
http___cognet.mit.edu_sites_default_files_books_9780262315876_pdfs_9780262315876_chap30.pdf http://cognet.mit.edu/sites/default/files/books/9780262315876/pdfs/9780262315876_chap30.pdf
http___cognet.mit.edu_library_books_view_isbn_0262611279 http://cognet.mit.edu/library/books/view?isbn=0262611279
Abu-Romoh:2018:ieeeCL Automatic Modulation Classification Using Moments And Likelihood Maximization
MAbu-Romoh.html
AAboutaleb.html
ZRezki.html
http___dx.doi.org_10.1109_LCOMM.2018.2806489 http://dx.doi.org/10.1109/LCOMM.2018.2806489
Abubakar:2016:ICCOINS New universal gate library for synthesizing reversible logic circuit using genetic programming
MustaphaYusufAbubakar.html
LowTangJung.html
MohamedNordinZakaria.html
AhmedYounes.html
Abdel-HaleemAbdel-Atyz.html
http___dx.doi.org_10.1109_ICCOINS.2016.7783234 http://dx.doi.org/10.1109/ICCOINS.2016.7783234
journals/qip/AbubakarJZYA17 Reversible circuit synthesis by genetic programming using dynamic gate libraries
MustaphaYusufAbubakar.html
LowTangJung.html
MohamedNordinZakaria.html
AhmedYounes.html
Abdel-HaleemAbdel-Aty.html
http___dx.doi.org_10.1007_s11128-017-1609-8 http://dx.doi.org/10.1007/s11128-017-1609-8
Abubakar:2018:ICCOINS Synthesis of Reversible Logic Using Enhanced Genetic Programming Approach
MustaphaYusufAbubakar.html
LowTangJung.html
http___dx.doi.org_10.1109_ICCOINS.2018.8510602 http://dx.doi.org/10.1109/ICCOINS.2018.8510602
Abud-Kappel:2016:Measurement Novel electrochemical impedance simulation design via stochastic algorithms for fitting equivalent circuits
MarcoAndreAbudKappel.html
RicardoFabbri.html
RobertoPinheiroDomingos.html
IvanNapoleaoBastos.html
https___www.sciencedirect.com_science_article_pii_S0263224116304699 https://www.sciencedirect.com/science/article/pii/S0263224116304699
http___dx.doi.org_10.1016_j.measurement.2016.08.008 http://dx.doi.org/10.1016/j.measurement.2016.08.008
Tese_MarcoAndreAbudKappel Stochastic computational techniques applied to the simulation of electrochemical impedance spectroscopy diagrams
MarcoAndreAbudKappel.html
http___www.bdtd.uerj.br_handle_1_13692 http://www.bdtd.uerj.br/handle/1/13692
https___www.bdtd.uerj.br_8443_bitstream_1_13692_1_Tese_MarcoAndreAbudKappel.pdf https://www.bdtd.uerj.br:8443/bitstream/1/13692/1/Tese_MarcoAndreAbudKappel.pdf
Abud-Kappel:2017:ASC A study of equivalent electrical circuit fitting to electrochemical impedance using a stochastic method
MarcoAndreAbudKappel.html
FernandoCunhaPeixoto.html
GustavoMendesPlatt.html
RobertoPinheiroDomingos.html
IvanNapoleaoBastos.html
https___www.sciencedirect.com_science_article_pii_S1568494616305993 https://www.sciencedirect.com/science/article/pii/S1568494616305993
http___dx.doi.org_10.1016_j.asoc.2016.11.030 http://dx.doi.org/10.1016/j.asoc.2016.11.030
Abud-Kappel:2018:EngOpt Cartesian Genetic Programing Applied to Equivalent Electric Circuit Identification
MarcoAndreAbudKappel.html
RobertoPinheiroDomingos.html
IvanNapoleaoBastos.html
http___dx.doi.org_10.1007_978-3-319-97773-7_79 http://dx.doi.org/10.1007/978-3-319-97773-7_79
Abud-Kappel:2019:BRACIS Action Scheduling Optimization using Cartesian Genetic Programming
MarcoAndreAbudKappel.html
http___dx.doi.org_10.1109_BRACIS.2019.00059 http://dx.doi.org/10.1109/BRACIS.2019.00059
AbuDalhoum:2005:ESM A Genetic Algorithm for Solving the P-Median Problem
AbdelLatifAbuDalhoum.html
AlaMAl-Zoubi.html
MarinadelaCruzEcheandia.html
AlfonsoOrtegadelaPuente.html
ManuelAlfonseca.html
http___arantxa.ii.uam.es__alfonsec_docs_confint_pmedian.pdf http://arantxa.ii.uam.es/~alfonsec/docs/confint/pmedian.pdf
https___www.eurosis.org_cms_files_proceedings_full_ESM2005.deel2.pdf https://www.eurosis.org/cms/files/proceedings_full/ESM2005.deel2.pdf
ABYANI:2022:oceaneng Predicting failure pressure of the corroded offshore pipelines using an efficient finite element based algorithm and machine learning techniques
MohsenAbyani.html
MohammadRezaBahaari.html
MohamadZarrin.html
MohsenNasseri.html
http___dx.doi.org_10.1016_j.oceaneng.2022.111382 http://dx.doi.org/10.1016/j.oceaneng.2022.111382
https___www.sciencedirect.com_science_article_pii_S0029801822007697 https://www.sciencedirect.com/science/article/pii/S0029801822007697
AcarM05tr Intensional Encapsulations of Database Subsets by Genetic Programming
AybarCAcar.html
Amihai_Ami_Motro.html
http___ise.gmu.edu_techrep_2005_05_01.pdf http://ise.gmu.edu/techrep/2005/05_01.pdf
conf/dexa/AcarM05 Intensional Encapsulations of Database Subsets via Genetic Programming
AybarCAcar.html
Amihai_Ami_Motro.html
http___dx.doi.org_10.1007_11546924_36 http://dx.doi.org/10.1007/11546924_36
Acar:thesis Query Consolidation: Interpreting Queries Sent to Independent Heterogenous Databases
AybarCAcar.html
http___hdl.handle.net_1920_3223 http://hdl.handle.net/1920/3223
http___digilib.gmu.edu_8080_dspace_bitstream_1920_3223_1_Acar_Aybar.pdf http://digilib.gmu.edu:8080/dspace/bitstream/1920/3223/1/Acar_Aybar.pdf
ACEVEDO:2020:ESA Automatic design of specialized algorithms for the binary knapsack problem
NicolasAcevedo.html
CarlosRey.html
CarlosContreras-Bolton.html
VictorParada.html
http___dx.doi.org_10.1016_j.eswa.2019.112908 http://dx.doi.org/10.1016/j.eswa.2019.112908
http___www.sciencedirect.com_science_article_pii_S0957417419306268 http://www.sciencedirect.com/science/article/pii/S0957417419306268
ACHARYA:2020:PRL A novel fitness function in genetic programming to handle unbalanced emotion recognition data
DivyaAcharya.html
ShivaniGoel.html
RishiAsthana.html
ArpitBhardwaj.html
http___dx.doi.org_10.1016_j.patrec.2020.03.005 http://dx.doi.org/10.1016/j.patrec.2020.03.005
http___www.sciencedirect.com_science_article_pii_S0167865520300830 http://www.sciencedirect.com/science/article/pii/S0167865520300830
ACHARYA:2020:AA Emotion recognition using fourier transform and genetic programming
DivyaAcharya.html
AnoshFaredoonBillimoria.html
NeishkaSrivastava.html
ShivaniGoel.html
ArpitBhardwaj.html
http___www.sciencedirect.com_science_article_pii_S0003682X19306954 http://www.sciencedirect.com/science/article/pii/S0003682X19306954
http___dx.doi.org_10.1016_j.apacoust.2020.107260 http://dx.doi.org/10.1016/j.apacoust.2020.107260
ACHARYA:2021:ESA An enhanced fitness function to recognize unbalanced human emotions data
DivyaAcharya.html
NandanaVarshney.html
AnindiyaVedant.html
YashrajSaxena.html
PradeepTomar.html
ShivaniGoel.html
ArpitBhardwaj.html
http___dx.doi.org_10.1016_j.eswa.2020.114011 http://dx.doi.org/10.1016/j.eswa.2020.114011
https___www.sciencedirect.com_science_article_pii_S0957417420307843 https://www.sciencedirect.com/science/article/pii/S0957417420307843
Ackling:2011:GECCO Evolving patches for software repair
ThomasAckling.html
BradAlexander.html
IanGrunert.html
https___hdl.handle.net_2440_70777 https://hdl.handle.net/2440/70777
http___dx.doi.org_10.1145_2001576.2001768 http://dx.doi.org/10.1145/2001576.2001768
journals/ijprai/Acosta-MendozaMEA14 Learning to Assemble Classifiers via Genetic Programming
NiusvelAcosta-Mendoza.html
AliciaMorales-Reyes.html
HugoJairEscalante.html
AndresGagoAlonso.html
http___dx.doi.org_10.1142_S0218001414600052 http://dx.doi.org/10.1142/S0218001414600052
Adamatzky:2017:miller Computers from Plants We Never Made: Speculations
AndrewAdamatzky.html
SimonHarding.html
VictorErokhin.html
RichardMayne.html
NinaGizzie.html
FrantisekBaluska.html
StefanoMancuso.html
GeorgiosChSirakoulis.html
http___dx.doi.org_10.1007_978-3-319-67997-6_17 http://dx.doi.org/10.1007/978-3-319-67997-6_17
adams:2002:CSDPSAGP Creation of Simple, Deadline, and Priority Scheduling Algorithms using Genetic Programming
ThomasPAdams.html
http___www.genetic-programming.org_sp2002_Adams.pdf http://www.genetic-programming.org/sp2002/Adams.pdf
Addis:2014:IACAP Computational Scientific Discovery and Cognitive Science Theories
MarkAddis.html
PeterDSozou.html
PeterCRLane.html
FernandGobet.html
http___eprints.lse.ac.uk_66168_ http://eprints.lse.ac.uk/66168/
https___doi.org_10.1007_978-3-319-23291-1_6 https://doi.org/10.1007/978-3-319-23291-1_6
http___dx.doi.org_10.1007_978-3-319-23291-1_6 http://dx.doi.org/10.1007/978-3-319-23291-1_6
Adegboye:2017:ieeeSSCI) Regression genetic programming for estimating trend end in foreign exchange market
AdesolaNoahAdegboye.html
MichaelKampouridis.html
ColinGJohnson.html
http___dx.doi.org_10.1109_SSCI.2017.8280833 http://dx.doi.org/10.1109/SSCI.2017.8280833
ADEGBOYE:2021:ESA Machine learning classification and regression models for predicting directional changes trend reversal in FX markets
AdesolaNoahAdegboye.html
MichaelKampouridis.html
https___kar.kent.ac.uk_89886_1_Adegboye-INT2021_preprint.pdf https://kar.kent.ac.uk/89886/1/Adegboye-INT2021_preprint.pdf
https___www.sciencedirect.com_science_article_pii_S0957417421000865 https://www.sciencedirect.com/science/article/pii/S0957417421000865
http___dx.doi.org_10.1016_j.eswa.2021.114645 http://dx.doi.org/10.1016/j.eswa.2021.114645
https___github.com_adesolaadegboye_SymbolicRegression https://github.com/adesolaadegboye/SymbolicRegression
Adegboye:thesis Estimating Directional Changes Trend Reversal in Forex Using Machine Learning
AdesolaNoahAdegboye.html
https___kar.kent.ac.uk_94107_ https://kar.kent.ac.uk/94107/
https___kar.kent.ac.uk_94107_1_174thesis.pdf https://kar.kent.ac.uk/94107/1/174thesis.pdf
http___dx.doi.org_10.22024_UniKent_01.02.94107 http://dx.doi.org/10.22024/UniKent/01.02.94107
ADEYI:2021:AIEPR Effect of varied fiber alkali treatments on the tensile strength of Ampelocissus cavicaulis reinforced polyester composites: Prediction, optimization, uncertainty and sensitivity analysis
AbiolaJohnAdeyi.html
OladayoAdeyi.html
EmmanuelOlusolaOke.html
OlusegunAbayomiOlalere.html
SeunOyelami.html
AkinolaDavidOgunsola.html
http___dx.doi.org_10.1016_j.aiepr.2020.12.002 http://dx.doi.org/10.1016/j.aiepr.2020.12.002
https___www.sciencedirect.com_science_article_pii_S2542504820300580 https://www.sciencedirect.com/science/article/pii/S2542504820300580
ADEYI:2022:AEJ Process integration for food colorant production from Hibiscus sabdariffa calyx: A case of multi-gene genetic programming (MGGP) model and techno-economics
OladayoAdeyi.html
AbiolaJohnAdeyi.html
EmmanuelOlusolaOke.html
BernardIOkolo.html
OlusegunAbayomiOlalere.html
JohnAOtolorin.html
SamuelOkhale.html
AbiolaETaiwo.html
SundayOOladunni.html
KelechiNAkatobi.html
http___dx.doi.org_10.1016_j.aej.2021.10.049 http://dx.doi.org/10.1016/j.aej.2021.10.049
https___www.sciencedirect.com_science_article_pii_S1110016821006931 https://www.sciencedirect.com/science/article/pii/S1110016821006931
adhikari:2019:SCDA Shear Force Analysis and Modeling for Discharge Estimation Using Numerical and GP for Compound Channels
AlokAdhikari.html
NibeditaAdhikari.html
KCPatra.html
http___link.springer.com_chapter_10.1007_978-981-13-0514-6_32 http://link.springer.com/chapter/10.1007/978-981-13-0514-6_32
http___dx.doi.org_10.1007_978-981-13-0514-6_32 http://dx.doi.org/10.1007/978-981-13-0514-6_32
adhikari:JIEIa Genetic Programming: A Complementary Approach for Discharge Modelling in Smooth and Rough Compound Channels
AlokAdhikari.html
NAdhikari.html
KCPatra.html
http___link.springer.com_article_10.1007_s40030-019-00367-x http://link.springer.com/article/10.1007/s40030-019-00367-x
http___dx.doi.org_10.1007_s40030-019-00367-x http://dx.doi.org/10.1007/s40030-019-00367-x
vu29881 Genetic programming-based ordinary Kriging for spatial interpolation of rainfall
SajalKumarAdhikary.html
NitinMuttil.html
AbdullahGokhanYilmaz.html
https___vuir.vu.edu.au_29881_ https://vuir.vu.edu.au/29881/
https___ascelibrary.org_doi_10.1061__28ASCE_29HE.1943-5584.0001300 https://ascelibrary.org/doi/10.1061/%28ASCE%29HE.1943-5584.0001300
http___dx.doi.org_10.1061__ASCE_HE.1943-5584.0001300 http://dx.doi.org/10.1061/(ASCE)HE.1943-5584.0001300
vu35054 Optimal Design of a Rain Gauge Network to Improve Streamflow Forecasting
SajalKumarAdhikary.html
https___vuir.vu.edu.au_35054_ https://vuir.vu.edu.au/35054/
https___vuir.vu.edu.au_35054_7_ADHIKARY_20Sajal-thesis_Redacted.pdf https://vuir.vu.edu.au/35054/7/ADHIKARY%20Sajal-thesis_Redacted.pdf
Adib:2021:WRM A Rigorous Wavelet-Packet Transform to Retrieve Snow Depth from SSMIS Data and Evaluation of its Reliability by Uncertainty Parameters
ArashAdib.html
ArashZaerpour.html
OzgurKisi.html
MortezaLotfirad.html
http___link.springer.com_10.1007_s11269-021-02863-x http://link.springer.com/10.1007/s11269-021-02863-x
http___dx.doi.org_10.1007_s11269-021-02863-x http://dx.doi.org/10.1007/s11269-021-02863-x
Adkins:2023:evomusart LooperGP: A Loopable Sequence Model for Live Coding Performance using GuitarPro Tablature
SaraAdkins.html
PedroSarmento.html
MathieuBarthet.html
http___dx.doi.org_10.1007_978-3-031-29956-8_1 http://dx.doi.org/10.1007/978-3-031-29956-8_1
https___github.com_dada-bots_dadaGP https://github.com/dada-bots/dadaGP
adler2021improving Improving Readability of Scratch Programs with Search-based Refactoring
FelixAdler.html
GordonFraser.html
EvaGruendinger.html
NinaKoerber.html
SimonLabrenz.html
JonasLerchenberger.html
StephanLukasczyk.html
SebastianSchweikl.html
https___arxiv.org_abs_2108.07114 https://arxiv.org/abs/2108.07114
DBLP:conf/scam/AdlerFGKLLLS21 Improving Readability of Scratch Programs with Search-based Refactoring
FelixAdler.html
GordonFraser.html
EvaGruendinger.html
NinaKoerber.html
SimonLabrenz.html
JonasLerchenberger.html
StephanLukasczyk.html
SebastianSchweikl.html
https___dblp.org_rec_conf_scam_AdlerFGKLLLS21.bib https://dblp.org/rec/conf/scam/AdlerFGKLLLS21.bib
https___arxiv.org_abs_2108.07114 https://arxiv.org/abs/2108.07114
https___ieeexplore.ieee.org_stamp_stamp.jsp_tp__arnumber_9610643 https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9610643
http___dx.doi.org_10.1109_SCAM52516.2021.00023 http://dx.doi.org/10.1109/SCAM52516.2021.00023
https___github.com_se2p_artifact-scam2021 https://github.com/se2p/artifact-scam2021
https___youtu.be_9ndMZvgEOVg https://youtu.be/9ndMZvgEOVg
adorni:1998:cpapc A cellular-programming approach to pattern classification
GiovanniAdorni.html
FedericoBergenti.html
StefanoCagnoni.html
http___dx.doi.org_10.1007_BFb0055934 http://dx.doi.org/10.1007/BFb0055934
adorni:1999:GPgkcsrcmsc Genetic Programming of a Goal-Keeper Control Strategy for the RoboCup Middle Size Competition
GiovanniAdorni.html
StefanoCagnoni.html
MonicaMordonini.html
http___dx.doi.org_10.1007_3-540-48885-5_9 http://dx.doi.org/10.1007/3-540-48885-5_9
oai:CiteSeerPSU:539182 Efficient low-level vision program design using Sub-machine-code Genetic Programming
GiovanniAdorni.html
StefanoCagnoni.html
MonicaMordonini.html
http___www-dii.ing.unisi.it_aiia2002_paper_PERCEVISIO_adorni-aiia02.pdf http://www-dii.ing.unisi.it/aiia2002/paper/PERCEVISIO/adorni-aiia02.pdf
http___citeseer.ist.psu.edu_539182.html http://citeseer.ist.psu.edu/539182.html
adorni:2001:wsc6 Design of Explicitly or Implicitly Parallel Low-resolution Character Recognition Algorithms by Means of Genetic Programming
GiovanniAdorni.html
StefanoCagnoni.html
https___link.springer.com_book_10.1007_978-1-4471-0123-9 https://link.springer.com/book/10.1007/978-1-4471-0123-9
http___www.amazon.co.uk_Soft-Computing-Industry-Recent-Applications_dp_1852335394 http://www.amazon.co.uk/Soft-Computing-Industry-Recent-Applications/dp/1852335394
oai:arXiv.org:1410.0532 Automated conjecturing of Frobenius numbers via grammatical evolution
NikolaAdzaga.html
http___arxiv.org_abs_1410.0532 http://arxiv.org/abs/1410.0532
Adzaga:2017:EM Automated Conjecturing of Frobenius Numbers via Grammatical Evolution
NikolaAdzaga.html
http___dx.doi.org_10.1080_10586458.2016.1175393 http://dx.doi.org/10.1080/10586458.2016.1175393
Affenzeller:2005:ICANNGA Offspring Selection: A New Self-Adaptive Selection Scheme for Genetic Algorithms
MichaelAffenzeller.html
StefanWagner.html
https___link.springer.com_chapter_10.1007_3-211-27389-1_52 https://link.springer.com/chapter/10.1007/3-211-27389-1_52
https___doi.org_10.1007_b138998 https://doi.org/10.1007/b138998
http___dx.doi.org_10.1007_3-211-27389-1_52 http://dx.doi.org/10.1007/3-211-27389-1_52
Affenzeller:GAGP Genetic Algorithms and Genetic Programming: Modern Concepts and Practical Applications
MichaelAffenzeller.html
StephanMWinkler.html
StefanWagner.html
AndreasBeham.html
http___gagp2009.heuristiclab.com_ http://gagp2009.heuristiclab.com/
http___www.crcpress.com_product_isbn_9781584886297 http://www.crcpress.com/product/isbn/9781584886297
Affenzeller:2010:IJSPM Effective allele preservation by offspring selection: an empirical study for the TSP
MichaelAffenzeller.html
StefanWagner.html
StephanMWinkler.html
https___pure.fh-ooe.at_en_publications_effective-allele-preservation-by-offspring-selection-an-empirical-2 https://pure.fh-ooe.at/en/publications/effective-allele-preservation-by-offspring-selection-an-empirical-2
http___www.inderscience.com_link.php_id_32655 http://www.inderscience.com/link.php?id=32655
http___dx.doi.org_10.1504_IJSPM.2010.032655 http://dx.doi.org/10.1504/IJSPM.2010.032655
2453 New Genetic Programming Hypothesis Search Strategies for Improving the Interpretability in Medical Data Mining Applications
MichaelAffenzeller.html
CFischer.html
GabrielKronberger.html
StephanMWinkler.html
StefanWagner.html
http___research.fh-ooe.at_files_publications_2453_EMSS_2011_Affenzeller.pdf http://research.fh-ooe.at/files/publications/2453_EMSS_2011_Affenzeller.pdf
Affenzeller:2012:EMSS Enhanced Confidence Interpretations of GP Based Ensemble Modeling Results
MichaelAffenzeller.html
StephanMWinkler.html
StefanForstenlechner.html
GabrielKronberger.html
MichaelKommenda.html
StefanWagner.html
HerbertStekel.html
http___research.fh-ooe.at_en_publication_2935 http://research.fh-ooe.at/en/publication/2935
http___research.fh-ooe.at_files_publications_2935_EMSS_2012_Affenzeller.pdf http://research.fh-ooe.at/files/publications/2935_EMSS_2012_Affenzeller.pdf
Affenzeller:2013:EUROCAST Improving the Accuracy of Cancer Prediction by Ensemble Confidence Evaluation
MichaelAffenzeller.html
StephanMWinkler.html
HerbertStekel.html
StefanForstenlechner.html
StefanWagner.html
http___dx.doi.org_10.1007_978-3-642-53856-8_40 http://dx.doi.org/10.1007/978-3-642-53856-8_40
http___dx.doi.org_10.1007_978-3-642-53856-8_40 http://dx.doi.org/10.1007/978-3-642-53856-8_40
Affenzeller:2013:GPTP Gaining Deeper Insights in Symbolic Regression
MichaelAffenzeller.html
StephanMWinkler.html
GabrielKronberger.html
MichaelKommenda.html
BogdanBurlacu.html
StefanWagner.html
http___dx.doi.org_10.1007_978-1-4939-0375-7_10 http://dx.doi.org/10.1007/978-1-4939-0375-7_10
6339 Offspring Selection Genetic Algorithm Revisited: Improvements in Efficiency by Early Stopping Criteria in the Evaluation of Unsuccessful Individuals
MichaelAffenzeller.html
BogdanBurlacu.html
StephanMWinkler.html
MichaelKommenda.html
GabrielKronberger.html
StefanWagner.html
http___dx.doi.org_10.1007_978-3-319-74718-7_51 http://dx.doi.org/10.1007/978-3-319-74718-7_51
https___link.springer.com_chapter_10.1007_978-3-319-74718-7_51 https://link.springer.com/chapter/10.1007/978-3-319-74718-7_51
Affenzeller:2017:GECCO Dynamic Observation of Genotypic and Phenotypic Diversity for Different Symbolic Regression GP Variants
MichaelAffenzeller.html
StephanMWinkler.html
BogdanBurlacu.html
GabrielKronberger.html
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http___doi.acm.org_10.1145_3067695.3082530 http://doi.acm.org/10.1145/3067695.3082530
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MichaelAffenzeller.html
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AfsoonAfzal.html
JeremyLacomis.html
ClaireLeGoues.html
ChristopherTimperley.html
http___dx.doi.org_10.1145_3194810.3194817 http://dx.doi.org/10.1145/3194810.3194817
http___www.cs.ucl.ac.uk_staff_W.Langdon_icse2018_gi2018_papers_Timperley_2018_GI.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/icse2018/gi2018/papers/Timperley_2018_GI.pdf
https___afsafzal.github.io_materials_AfzalTuringTest2018.pdf https://afsafzal.github.io/materials/AfzalTuringTest2018.pdf
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AfsoonAfzal.html
ManishMotwani.html
KathrynTStolee.html
YuriyBrun.html
ClaireLeGoues.html
https___doi.org_10.1109_TSE.2019.2944914 https://doi.org/10.1109/TSE.2019.2944914
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RichardTorkar.html
RobertFeldt.html
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WasifAfzal.html
RichardTorkar.html
http___dx.doi.org_10.1109_CSA.2008.13 http://dx.doi.org/10.1109/CSA.2008.13
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RichardTorkar.html
http___dx.doi.org_10.1109_ICSEA.2008.9 http://dx.doi.org/10.1109/ICSEA.2008.9
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WasifAfzal.html
RichardTorkar.html
RobertFeldt.html
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http___dx.doi.org_10.1109_INMIC.2008.4777762 http://dx.doi.org/10.1109/INMIC.2008.4777762
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WasifAfzal.html
RichardTorkar.html
RobertFeldt.html
http___dx.doi.org_10.1109_SSBSE.2009.17 http://dx.doi.org/10.1109/SSBSE.2009.17
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WasifAfzal.html
RichardTorkar.html
RobertFeldt.html
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http___www.sciencedirect.com_science_article_B6V0B-4VHXDTD-1_2_9da989f9d874eb88d1f82d9a0878114b http://www.sciencedirect.com/science/article/B6V0B-4VHXDTD-1/2/9da989f9d874eb88d1f82d9a0878114b
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WasifAfzal.html
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WasifAfzal.html
RichardTorkar.html
RobertFeldt.html
TonyGorschek.html
http___dx.doi.org_10.4018_978-1-61520-809-8.ch006 http://dx.doi.org/10.4018/978-1-61520-809-8.ch006
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WasifAfzal.html
RichardTorkar.html
RobertFeldt.html
GregerWikstrand.html
http___dx.doi.org_10.1109_SSBSE.2010.19 http://dx.doi.org/10.1109/SSBSE.2010.19
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WasifAfzal.html
http___dx.doi.org_10.1109_APSEC.2010.54 http://dx.doi.org/10.1109/APSEC.2010.54
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WasifAfzal.html
RichardTorkar.html
http___dx.doi.org_10.1016_j.eswa.2011.03.041 http://dx.doi.org/10.1016/j.eswa.2011.03.041
http___www.sciencedirect.com_science_article_B6V03-52C8FT6-5_2_668361024e4b2bcf9a4a73195271591c http://www.sciencedirect.com/science/article/B6V03-52C8FT6-5/2/668361024e4b2bcf9a4a73195271591c
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WasifAfzal.html
http___www.bth.se_fou_forskinfo.nsf_0_dd0dcce8cc126a52c125784500410306__file_Dis_20Wasif_20Afzal_20thesis.pdf http://www.bth.se/fou/forskinfo.nsf/0/dd0dcce8cc126a52c125784500410306/$file/Dis%20Wasif%20Afzal%20thesis.pdf
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WasifAfzal.html
RichardTorkar.html
RobertFeldt.html
TonyGorschek.html
http___dx.doi.org_10.1007_s11219-013-9205-3 http://dx.doi.org/10.1007/s11219-013-9205-3
http___www.bth.se_fou_forskinfo.nsf_all_3d40224f7cbf862dc1257b7800251e66_OpenDocument http://www.bth.se/fou/forskinfo.nsf/all/3d40224f7cbf862dc1257b7800251e66?OpenDocument
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WasifAfzal.html
RichardTorkar.html
http___dx.doi.org_10.1007_978-3-319-25964-2_3 http://dx.doi.org/10.1007/978-3-319-25964-2_3
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ShimaAfzali.html
HarithAl-Sahaf.html
BingXue.html
ChristopherHollitt.html
MengjieZhang.html
http___link.springer.com_chapter_10.1007_978-3-030-03991-2_21 http://link.springer.com/chapter/10.1007/978-3-030-03991-2_21
http___dx.doi.org_10.1007_978-3-030-03991-2_21 http://dx.doi.org/10.1007/978-3-030-03991-2_21
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HarithAl-Sahaf.html
BingXue.html
ChristopherHollitt.html
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http___dx.doi.org_10.1007_978-3-030-16692-2_21 http://dx.doi.org/10.1007/978-3-030-16692-2_21
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ShimaAfzali.html
http___hdl.handle.net_10063_8897 http://hdl.handle.net/10063/8897
http___researcharchive.vuw.ac.nz_xmlui_handle_10063_8897_show_full http://researcharchive.vuw.ac.nz/xmlui/handle/10063/8897?show=full
http___researcharchive.vuw.ac.nz_xmlui_bitstream_handle_10063_8897_thesis_access.pdf http://researcharchive.vuw.ac.nz/xmlui/bitstream/handle/10063/8897/thesis_access.pdf
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MengjieZhang.html
http___dx.doi.org_10.1016_j.eswa.2021.115726 http://dx.doi.org/10.1016/j.eswa.2021.115726
https___www.sciencedirect.com_science_article_pii_S0957417421011076 https://www.sciencedirect.com/science/article/pii/S0957417421011076
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AlexandrosAgapitos.html
SimonMLucas.html
http___dx.doi.org_10.1007_11729976_15 http://dx.doi.org/10.1007/11729976_15
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AlexandrosAgapitos.html
SimonMLucas.html
http___privatewww.essex.ac.uk__aagapi_papers_AgapitosLucasEvolvingSort.pdf http://privatewww.essex.ac.uk/~aagapi/papers/AgapitosLucasEvolvingSort.pdf
http___dx.doi.org_10.1109_CEC.2006.1688643 http://dx.doi.org/10.1109/CEC.2006.1688643
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SimonMLucas.html
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http___dx.doi.org_10.1145_1276958.1277271 http://dx.doi.org/10.1145/1276958.1277271
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http___gpbib.cs.ucl.ac.uk_gecco2008_docs_p1155.pdf http://gpbib.cs.ucl.ac.uk/gecco2008/docs/p1155.pdf
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http___dx.doi.org_10.1145_1389095.1389327 http://dx.doi.org/10.1145/1389095.1389327
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JulianTogelius.html
SimonMLucas.html
JurgenSchmidhuber.html
AndreasConstantinides.html
http___julian.togelius.com_Agapitos2008Generating.pdf http://julian.togelius.com/Agapitos2008Generating.pdf
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MichaelO'Neill.html
AnthonyBrabazon.html
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TheodorosTheodoridis.html
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MichaelO'Neill.html
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AlexandrosAgapitos.html
MichaelO'Neill.html
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TheodorosTheodoridis.html
http___cilab.sejong.ac.kr_cig2011_proceedings_CIG2011_papers_paper54.pdf http://cilab.sejong.ac.kr/cig2011/proceedings/CIG2011/papers/paper54.pdf
http___dx.doi.org_10.1109_CIG.2011.6032010 http://dx.doi.org/10.1109/CIG.2011.6032010
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AbhinavGoyal.html
CalMuckley.html
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https___researchrepository.ucd.ie_bitstream_10197_3552_1_gp_bookchapter.pdf https://researchrepository.ucd.ie/bitstream/10197/3552/1/gp_bookchapter.pdf
http___www.springer.com_engineering_computational_intelligence_and_complexity_book_978-3-642-23335-7 http://www.springer.com/engineering/computational+intelligence+and+complexity/book/978-3-642-23335-7
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AnthonyBrabazon.html
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AlexandrosAgapitos.html
MichaelO'Neill.html
AnthonyBrabazon.html
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AlexandrosAgapitos.html
MichaelO'Neill.html
AnthonyBrabazon.html
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AlexandrosAgapitos.html
JamesMcDermott.html
MichaelO'Neill.html
AhmedKattan.html
AnthonyBrabazon.html
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AlexandrosAgapitos.html
MichaelO'Neill.html
AnthonyBrabazon.html
http___dx.doi.org_10.1109_CEC.2014.6900567 http://dx.doi.org/10.1109/CEC.2014.6900567
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MiguelNicolau.html
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KathleenCurran.html
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AlexandrosAgapitos.html
AnthonyBrabazon.html
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http___dx.doi.org_10.1007_978-3-319-31204-0_2 http://dx.doi.org/10.1007/978-3-319-31204-0_2
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AlexandrosAgapitos.html
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AhmedKattan.html
SimonMLucas.html
http___dx.doi.org_10.1007_s10710-016-9277-5 http://dx.doi.org/10.1007/s10710-016-9277-5
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AlexandrosAgapitos.html
AnthonyBrabazon.html
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SimonMLucas.html
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Paul-MichaelAgapow.html
http___dx.doi.org_10.1007_3-540-61723-X_964 http://dx.doi.org/10.1007/3-540-61723-X_964
agarwal:2000:GPWPPAPE Genetic Programming for Wafer Property Prediction After Plasma Enhanced
AshishAgarwal.html
agarwal:2023:SDECGE Probabilistic Analysis of a Geosynthetic Reinforced Soil Retaining Wall Under Seismic Conditions Using Genetic Programming
EkanshAgarwal.html
AjeetKumarVerma.html
AnindyaPain.html
ShantanuSarkar.html
http___link.springer.com_chapter_10.1007_978-981-19-6998-0_20 http://link.springer.com/chapter/10.1007/978-981-19-6998-0_20
http___dx.doi.org_10.1007_978-981-19-6998-0_20 http://dx.doi.org/10.1007/978-981-19-6998-0_20
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KhushbooAggarwal.html
SunilKumarSingh.html
SakarKhattar.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.300.6369 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.300.6369
http___www.ijcse.com_docs_INDJCSE11-02-04-175.pdf http://www.ijcse.com/docs/INDJCSE11-02-04-175.pdf
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VarunAggarwal.html
http___web.mit.edu_varun_ag_www_psspreport.pdf http://web.mit.edu/varun_ag/www/psspreport.pdf
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VarunAggarwal.html
RobertMMacCallum.html
http___web.mit.edu_varun_ag_www_aggarwal-eurogp2004.pdf http://web.mit.edu/varun_ag/www/aggarwal-eurogp2004.pdf
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VarunAggarwal.html
Una-MayO'Reilly.html
http___people.csail.mit.edu_unamay_publications-dir_gptp06.pdf http://people.csail.mit.edu/unamay/publications-dir/gptp06.pdf
http___dx.doi.org_10.1007_978-0-387-49650-4_14 http://dx.doi.org/10.1007/978-0-387-49650-4_14
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MortazaAghbashlo.html
ShahaboddinShamshirband.html
MeisamTabatabaei.html
PorLipYee.html
YaserNabaviLarimi.html
http___dx.doi.org_10.1016_j.energy.2015.11.008 http://dx.doi.org/10.1016/j.energy.2015.11.008
http___www.sciencedirect.com_science_article_pii_S0360544215015327 http://www.sciencedirect.com/science/article/pii/S0360544215015327
agnelli:2002:PRL Image classification: an evolutionary approach
DavideAgnelli.html
AlessandroBollini.html
LucaLombardi.html
http___dx.doi.org_10.1016_S0167-8655_01_00128-3 http://dx.doi.org/10.1016/S0167-8655(01)00128-3
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ZhannaKaufman.html
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https___proofster.cs.umass.edu_ https://proofster.cs.umass.edu/
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JoseLisandroAguilarCastro.html
MarielaCerrada.html
http___gpbib.cs.ucl.ac.uk_gecco2001_d24.pdf http://gpbib.cs.ucl.ac.uk/gecco2001/d24.pdf
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JoseLisandroAguilarCastro.html
MarielaCerrada.html
http___www.wseas.us_e-library_conferences_tenerife2001_papers_640.pdf http://www.wseas.us/e-library/conferences/tenerife2001/papers/640.pdf
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Aguilar:2004:sci A Data Mining Algorithm Based on the Genetic Programming
JoseLisandroAguilarCastro.html
JuniorAmilcarAltamirandaPerez.html
Aguilar:DEU:cec2006 Data Extrapolation Using Genetic Programming to Matrices Singular Values Estimation
JoseLisandroAguilarCastro.html
GilbertoGonzalez.html
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AguilarRivera:2015:ESA Genetic algorithms and Darwinian approaches in financial applications: A survey
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ManuelValenzuela-Rendon.html
JJRodriguez-Ortiz.html
http___dx.doi.org_10.1016_j.eswa.2015.06.001 http://dx.doi.org/10.1016/j.eswa.2015.06.001
http___www.sciencedirect.com_science_article_pii_S0957417415003954 http://www.sciencedirect.com/science/article/pii/S0957417415003954
aguirre:1999:EH A Genetic Programming Approach to Logic Function Synthesis by Means of Multiplexers
ArturoHernandez-Aguirre.html
CarlosArtemioCoelloCoello.html
BillBuckles.html
http___dx.doi.org_10.1109_EH.1999.785434 http://dx.doi.org/10.1109/EH.1999.785434
Aguirre:2003:AIR Evolutionary Synthesis of Logic Circuits Using Information Theory
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Hernandez-Aguirre:2004:MIFFfECS Mutual Information-based Fitness Functions for Evolutionary Circuit Synthesis
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CarlosArtemioCoelloCoello.html
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AGWU:2018:PT Settling velocity of drill cuttings in drilling fluids: A review of experimental, numerical simulations and artificial intelligence studies
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AGWU:2021:UOGT Modeling the downhole density of drilling muds using multigene genetic programming
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JuliusUdohAkpabio.html
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http___dx.doi.org_10.1016_j.upstre.2020.100030 http://dx.doi.org/10.1016/j.upstre.2020.100030
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nlin/0607029 Modeling Time Series of Real Systems using Genetic Programming
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Ahalpara:2008:IJMPC Genetic Programming based approach for Modeling Time Series data of real systems
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JitendraCParikh.html
http___dx.doi.org_10.1142_S0129183108011942 http://dx.doi.org/10.1142/S0129183108011942
2008Prama..71..459A Characterizing and modelling cyclic behaviour in non-stationary time series through multi-resolution analysis
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Ahalpara:2009:eurogp Genetic Programming Based Approach for Synchronization with Parameter Mismatches in EEG
DilipPAhalpara.html
SiddharthArora.html
MSSanthanam.html
http___dx.doi.org_10.1007_978-3-642-01181-8_2 http://dx.doi.org/10.1007/978-3-642-01181-8_2
Ahalpara:2010:gecco Improved forecasting of time series data of real system using genetic programming
DilipPAhalpara.html
http___dx.doi.org_10.1145_1830483.1830658 http://dx.doi.org/10.1145/1830483.1830658
ahalpara:2011:EuroGP A Sniffer Technique for an Efficient Deduction of Model Dynamical Equations using Genetic Programming
DilipPAhalpara.html
AbhijitSen.html
http___dx.doi.org_10.1007_978-3-642-20407-4_1 http://dx.doi.org/10.1007/978-3-642-20407-4_1
ahalpara:2007:EMBN Variations in Financial Time Series: Modelling Through Wavelets and Genetic Programming
DilipPAhalpara.html
PrasantaKPanigrahi.html
JitendraCParikh.html
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http___dx.doi.org_10.1007_978-88-470-0665-2_3 http://dx.doi.org/10.1007/978-88-470-0665-2_3
Ahangar-Asr:2011:EC Modelling mechanical behaviour of rubber concrete using evolutionary polynomial regression
AlirezaAhangar-Asr.html
AsaadFaramarzi.html
AkbarAJavadi.html
OrazioGiustolisi.html
http___dx.doi.org_10.1108_02644401111131902 http://dx.doi.org/10.1108/02644401111131902
Ahangar-Asr:thesis Application of an Evolutionary Data Mining Technique for Constitutive Modelling of Geomaterials
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Aher:2012:ICSP Removal of Mixed Impulse noise and Gaussian noise using genetic programming
RPAher.html
KCJodhanle.html
http___dx.doi.org_10.1109_ICoSP.2012.6491563 http://dx.doi.org/10.1109/ICoSP.2012.6491563
Ahlgren:2020:GI WES: Agent-based User Interaction Simulation on Real Infrastructure
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Ahlgren:2021:ICSE Testing Web Enabled Simulation at Scale Using Metamorphic Testing
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DBLP:conf/ease/AhlgrenBDDGGHLL21 Facebook's Cyber-Cyber and Cyber-Physical Digital Twins
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https___doi.org_10.1145_3463274.3463275 https://doi.org/10.1145/3463274.3463275
http___dx.doi.org_10.1145_3463274.3463275 http://dx.doi.org/10.1145/3463274.3463275
ahlschwede:2000:ugppm Using Genetic Programming to Play Mancala
JohnAhlschwede.html
ahluwalia:1996:ccpGP Co-Evolving Hierarchical Programs Using Genetic Programming
ManuAhluwalia.html
TerenceCFogarty.html
http___cognet.mit.edu_sites_default_files_books_9780262315876_pdfs_9780262315876_chap58.pdf http://cognet.mit.edu/sites/default/files/books/9780262315876/pdfs/9780262315876_chap58.pdf
http___cognet.mit.edu_library_books_view_isbn_0262611279 http://cognet.mit.edu/library/books/view?isbn=0262611279
Ahluwalia:1997: Co-evolving Functions in Genetic Programming: A Comparison in ADF Selection Strategies
ManuAhluwalia.html
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TerenceCFogarty.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_gp1997_Ahluwalia_1997_.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/gp1997/Ahluwalia_1997_.pdf
ahluwalia:1997:cfGPea Co-evolving Functions in Genetic Programming: An Emergent Approach using ADFs and GLiB
ManuAhluwalia.html
LarryBull.html
TerenceCFogarty.html
ahluwalia:1998:cfGP:ADF+GLiB Co-evolving Functions in Genetic Programming: Dynamic ADF Creation using GLiB
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LarryBull.html
http___dx.doi.org_10.1007_BFb0040753 http://dx.doi.org/10.1007/BFb0040753
ahluwalia:1999:AGPCS A Genetic Programming-based Classifier System
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ahluwalia:1999:CFGPCK Coevolving Functions in Genetic Programming: Classification using K-nearest-neighbour
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Ahluwalia:thesis Co-evolving functions in genetic programming
ManuAhluwalia.html
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Ahluwalia:2001:SA Coevolving functions in genetic programming
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http___dx.doi.org_10.1016_S1383-7621_01_00016-9 http://dx.doi.org/10.1016/S1383-7621(01)00016-9
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Ahmad:2012:GECCO Breast cancer detection using cartesian genetic programming evolved artificial neural networks
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http___dx.doi.org_10.1145_2330163.2330307 http://dx.doi.org/10.1145/2330163.2330307
Ahmad:2012:FIT Bio-signal Processing Using Cartesian Genetic Programming Evolved Artificial Neural Network (CGPANN)
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http___dx.doi.org_10.1109_FIT.2012.54 http://dx.doi.org/10.1109/FIT.2012.54
conf/eann/AhmadKM13 Classification of Arrhythmia Types Using Cartesian Genetic Programming Evolved Artificial Neural Networks
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conf/ifip12/AhmadKM14 Classification of Mammograms Using Cartesian Genetic Programming Evolved Artificial Neural Networks
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Ahmad:2018:GECCOcomp A comparison of semantic-based initialization methods for genetic programming
HammadAhmad.html
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http___dx.doi.org_10.1145_3205651.3208218 http://dx.doi.org/10.1145/3205651.3208218
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https___github.com_hammad-a_verilog_repair https://github.com/hammad-a/verilog_repair
DBLP:conf/ppsn/AhmadCFW22 Digging into Semantics: Where Do Search-Based Software Repair Methods Search?
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StephanieForrest.html
WestleyWeimer.html
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http___dx.doi.org_10.1007_978-3-031-14721-0_1 http://dx.doi.org/10.1007/978-3-031-14721-0_1
Ahmad:2000:CCGc Genetic Programming In Clusters
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http___dx.doi.org_10.1109_MCC.2000.10016 http://dx.doi.org/10.1109/MCC.2000.10016
conf/sac/AhmadRRJ19 Evolving MIMO multi-layered artificial neural networks using grammatical evolution
QadeerAhmad.html
AtifRafiq.html
AdilRaja.html
NomanJaved.html
http___dx.doi.org_10.1145_3297280.3297408 http://dx.doi.org/10.1145/3297280.3297408
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SaeidMehdizadeh.html
BabakMohammadi.html
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http___dx.doi.org_10.1016_j.agwat.2020.106622 http://dx.doi.org/10.1016/j.agwat.2020.106622
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http___www.sciencedirect.com_science_article_pii_S0952197614002759 http://www.sciencedirect.com/science/article/pii/S0952197614002759
http___dx.doi.org_10.1016_j.engappai.2014.11.003 http://dx.doi.org/10.1016/j.engappai.2014.11.003
Ahmed:2015:ieeeICIP Evolutionary fusion of local texture patterns for facial expression recognition
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PadmaPolashPaul.html
MarinaLGavrilova.html
http___dx.doi.org_10.1109_ICIP.2015.7350956 http://dx.doi.org/10.1109/ICIP.2015.7350956
ahmed:2020:IJDC A novel genetic-programming based differential braking controller for an 8x8 combat vehicle
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MoustafaEl-Gindy.html
HaoxiangLang.html
http___link.springer.com_article_10.1007_s40435-020-00693-0 http://link.springer.com/article/10.1007/s40435-020-00693-0
http___dx.doi.org_10.1007_s40435-020-00693-0 http://dx.doi.org/10.1007/s40435-020-00693-0
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MoatazAhmed.html
https___hdl.handle.net_10155_1380 https://hdl.handle.net/10155/1380
https___ir.library.ontariotechu.ca_handle_10155_1380 https://ir.library.ontariotechu.ca/handle/10155/1380
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SohaAhmed.html
MengjieZhang.html
LifengPeng.html
http___dx.doi.org_10.1007_978-3-642-35101-3_23 http://dx.doi.org/10.1007/978-3-642-35101-3_23
Ahmed:2013:evobio Feature Selection and Classification of High Dimensional Mass Spectrometry Data: A Genetic Programming Approach
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MengjieZhang.html
LifengPeng.html
http___dx.doi.org_10.1007_978-3-642-37189-9_5 http://dx.doi.org/10.1007/978-3-642-37189-9_5
Ahmed:2013:CEC Enhanced Feature Selection for Biomarker Discovery in LC-MS Data using GP
SohaAhmed.html
MengjieZhang.html
LifengPeng.html
http___dx.doi.org_10.1109_CEC.2013.6557621 http://dx.doi.org/10.1109/CEC.2013.6557621
Ahmed:evoapps14 GPMS: A Genetic Programming Based Approach to Multiple Alignment of Liquid Chromatography-Mass Spectrometry Data
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MengjieZhang.html
LifengPeng.html
http___dx.doi.org_10.1007_978-3-662-45523-4_74 http://dx.doi.org/10.1007/978-3-662-45523-4_74
Ahmed:2014:CEC A New GP-Based Wrapper Feature Construction Approach to Classification and Biomarker Identification
SohaAhmed.html
MengjieZhang.html
LifengPeng.html
http___dx.doi.org_10.1109_CEC.2014.6900317 http://dx.doi.org/10.1109/CEC.2014.6900317
Ahmed:2014:GECCOa Multiple feature construction for effective biomarker identification and classification using genetic programming
SohaAhmed.html
MengjieZhang.html
LifengPeng.html
BingXue.html
http___doi.acm.org_10.1145_2576768.2598292 http://doi.acm.org/10.1145/2576768.2598292
http___dx.doi.org_10.1145_2576768.2598292 http://dx.doi.org/10.1145/2576768.2598292
Ahmed:2014:GECCOcomp Prediction of detectable peptides in MS data using genetic programming
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MengjieZhang.html
LifengPeng.html
http___doi.acm.org_10.1145_2598394.2598421 http://doi.acm.org/10.1145/2598394.2598421
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Ahmed:2014:CS Improving Feature Ranking for Biomarker Discovery in Proteomics Mass Spectrometry Data using Genetic Programming
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MengjieZhang.html
LifengPeng.html
http___dx.doi.org_10.1080_09540091.2014.906388 http://dx.doi.org/10.1080/09540091.2014.906388
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MengjieZhang.html
LifengPeng.html
BingXue.html
http___dx.doi.org_10.1007_978-3-319-13563-2 http://dx.doi.org/10.1007/978-3-319-13563-2
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LifengPeng.html
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http___dx.doi.org_10.1007_978-3-319-31204-0_8 http://dx.doi.org/10.1007/978-3-319-31204-0_8
ahmed:2021:Materials Analysis and Optimization of Machining Hardened Steel AISI 4140 with Self-Propelled Rotary Tools
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HossamAKishawy.html
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FakhreAli.html
IanJennions.html
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UsmanAhmed.html
JerryChun-WeiLin.html
GautamSrivastava.html
http___dx.doi.org_10.1109_JBHI.2023.3270888 http://dx.doi.org/10.1109/JBHI.2023.3270888
conf/fgit/AhnOO11 A Genetic Programming Approach to Data Clustering
ChangWookAhn.html
SanghounOh.html
MoonyoungOh.html
http___dx.doi.org_10.1007_978-3-642-27186-1_15 http://dx.doi.org/10.1007/978-3-642-27186-1_15
Ahsan:2020:IBCAST AutoQP: Genetic Programming for Quantum Programming
UsamaAhsan.html
FayyazulAmirAfsarMinhas.html
http___dx.doi.org_10.1109_IBCAST47879.2020.9044554 http://dx.doi.org/10.1109/IBCAST47879.2020.9044554
DBLP:journals/itiis/AhvanooeyLWW19 A Survey of Genetic Programming and Its Applications
MiladTalebyAhvanooey.html
QianmuLi.html
ShuoWang.html
ShuoWang.html
https___doi.org_10.3837_tiis.2019.04.002 https://doi.org/10.3837/tiis.2019.04.002
http___dx.doi.org_10.3837_tiis.2019.04.002 http://dx.doi.org/10.3837/tiis.2019.04.002
https___dblp.org_rec_journals_itiis_AhvanooeyLWW19.bib https://dblp.org/rec/journals/itiis/AhvanooeyLWW19.bib
Aichour:2007:NICSO Cooperative Co-evolution Inspired Operators for Classical GP Schemes
MalekAichour.html
EvelyneLutton.html
http___dx.doi.org_10.1007_978-3-540-78987-1_16 http://dx.doi.org/10.1007/978-3-540-78987-1_16
Ain:2022:ICDMW A Genetic Programming Approach to Automatically Construct Informative Attributes for Mammographic Density Classification
QurratUlAin.html
BingXue.html
HarithAl-Sahaf.html
MengjieZhang.html
http___dx.doi.org_10.1109_ICDMW58026.2022.00057 http://dx.doi.org/10.1109/ICDMW58026.2022.00057
Ain:2022:ieeeTC Automatically Diagnosing Skin Cancers From Multimodality Images Using Two-Stage Genetic Programming
QurratUlAin.html
HarithAl-Sahaf.html
BingXue.html
MengjieZhang.html
http___dx.doi.org_10.1109_TCYB.2022.3182474 http://dx.doi.org/10.1109/TCYB.2022.3182474
AIN:2022:eswa Genetic programming for automatic skin cancer image classification
QurratUlAin.html
HarithAl-Sahaf.html
BingXue.html
MengjieZhang.html
http___dx.doi.org_10.1016_j.eswa.2022.116680 http://dx.doi.org/10.1016/j.eswa.2022.116680
https___www.sciencedirect.com_science_article_pii_S0957417422001634 https://www.sciencedirect.com/science/article/pii/S0957417422001634
ain:2023:GECCOcomp A New Genetic Programming Representation for Feature Learning in Skin Cancer Detection
QurratUlAin.html
HarithAl-Sahaf.html
BingXue.html
MengjieZhang.html
http___dx.doi.org_10.1145_3583133.3590550 http://dx.doi.org/10.1145/3583133.3590550
aiyarak:1997:GPtootn Genetic Programming Approaches for Minimum Cost Topology Optimisation of Optical Telecommunication Networks
PAiyarak.html
ASSaket.html
MarkCSinclair.html
http___uk.geocities.com_markcsinclair_ps_galesia97_aiy.ps.gz http://uk.geocities.com/markcsinclair/ps/galesia97_aiy.ps.gz
http___dx.doi.org_10.1049_cp_19971216 http://dx.doi.org/10.1049/cp:19971216
Ajcevic:2013:ISPA A novel estimation methodology for tracheal pressure in mechanical ventilation control
MilosAjcevic.html
AndreaDeLorenzo.html
AgostinoAccardo.html
AlbertoBartoli.html
EricMedvet.html
http___dx.doi.org_10.1109_ISPA.2013.6703827 http://dx.doi.org/10.1109/ISPA.2013.6703827
Ajcevic:thesis Personalized setup of high frequency percussive ventilator by estimation of respiratory system viscoelastic parameters
MilosAjcevic.html
http___hdl.handle.net_10077_10976 http://hdl.handle.net/10077/10976
https___www.openstarts.units.it_bitstream_10077_10976_1_Ajcevic_PhD.pdf https://www.openstarts.units.it/bitstream/10077/10976/1/Ajcevic_PhD.pdf
Ajibode:2020:A Evolving Suspiciousness Metrics From Hybrid Data Set for Boosting a Spectrum Based Fault Localization
AdekunleAkinjobiAjibode.html
TingShu.html
ZuohuaDing.html
http___dx.doi.org_10.1109_ACCESS.2020.3035413 http://dx.doi.org/10.1109/ACCESS.2020.3035413
akalin:2002:DCOFSGGP Developing a Computer-Controller Opponent for a First-Person Simulation Game using Genetic Programming
FrederickRAkalin.html
akbari-alashti:2015:WRM Application of Fixed Length Gene Genetic Programming (FLGGP) in Hydropower Reservoir Operation
HabibAkbari-Alashti.html
OmidBozorgHaddad.html
MiguelAMarino.html
http___link.springer.com_article_10.1007_s11269-015-1003-1 http://link.springer.com/article/10.1007/s11269-015-1003-1
http___dx.doi.org_10.1007_s11269-015-1003-1 http://dx.doi.org/10.1007/s11269-015-1003-1
Akbarzadeh:2008:fuzz Derivation of Relational Fuzzy Classification Rules Using Evolutionary Computation
VahabAkbarzadeh.html
AlirezaSadeghian.html
MarcusViniciusdosSantos.html
http___dx.doi.org_10.1109_FUZZY.2008.4630598 http://dx.doi.org/10.1109/FUZZY.2008.4630598
Akbarzadeh:1997:jce Genetic Algorithms and Genetic Programming: Combining Strength in One Evolutionary Strategy
Mohammad-RAkbarzadeh-Totonchi.html
EdwardWTunstel.html
MohammadJamshidi.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_Akbarzadeh_1997_jce.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/Akbarzadeh_1997_jce.pdf
Akbarzadeh:1998:wcci Soft computing paradigms for hybrid fuzzy controllers: experiments and applications
Mohammad-RAkbarzadeh-Totonchi.html
EdwardWTunstel.html
KishanKumarKumbla.html
MohammadJamshidi.html
http___www-robotics.jpl.nasa.gov_people_Edward_Tunstel_fieee98.pdf http://www-robotics.jpl.nasa.gov/people/Edward_Tunstel/fieee98.pdf
http___ieeexplore.ieee.org_iel4_5612_15018_00686289.pdf_isNumber_15018 http://ieeexplore.ieee.org/iel4/5612/15018/00686289.pdf?isNumber=15018
http___dx.doi.org_10.1109_FUZZY.1998.686289 http://dx.doi.org/10.1109/FUZZY.1998.686289
Akbarzadeh-T:2000:CEE Soft computing for autonomous robotic systems
Mohammad-RAkbarzadeh-Totonchi.html
KishanKumarKumbla.html
EdwardWTunstel.html
MohammadJamshidi.html
http___www.sciencedirect.com_science_article_B6V25-3Y6GXY5-2_1_6a6f9ff946815d4e95fe3884c98e74e5 http://www.sciencedirect.com/science/article/B6V25-3Y6GXY5-2/1/6a6f9ff946815d4e95fe3884c98e74e5
http___citeseer.ist.psu.edu_373353.html http://citeseer.ist.psu.edu/373353.html
Akbarzadeh:2003:ICNAFIPS Friendship Modeling for Cooperative Co-Evolutionary Fuzzy Systems: A Hybrid GA-GP Algorithm
Mohammad-RAkbarzadeh-Totonchi.html
IMosavat.html
SAbbasi.html
http___dx.doi.org_10.1109_NAFIPS.2003.1226756 http://dx.doi.org/10.1109/NAFIPS.2003.1226756
Akira:1999:AJ Multiple-Organisms Learning and Evolution by Genetic Programming
YoshidaAkira.html
akira:2000:moelGP Intraspecific Evolution of Learning by Genetic Programming
YoshidaAkira.html
http___dx.doi.org_10.1007_978-3-540-46239-2_15 http://dx.doi.org/10.1007/978-3-540-46239-2_15
journals/ijossp/AkourM17 Software Defect Prediction Using Genetic Programming and Neural Networks
MohammedAkour.html
WasenYahyaMelhem.html
http___dx.doi.org_10.4018_IJOSSP.2017100102 http://dx.doi.org/10.4018/IJOSSP.2017100102
Al-Saati:2014:mosul Software Effort Estimation Using Multi Expression Programming
NajlaAkramAl-Saati.html
TaghreedRiyadhAlreffaee.html
https___csmj.mosuljournals.com_article_163756.html https://csmj.mosuljournals.com/article_163756.html
https___csmj.mosuljournals.com_article__2d593a444328ad02601f0d083038e400163756.pdf https://csmj.mosuljournals.com/article__2d593a444328ad02601f0d083038e400163756.pdf
http___dx.doi.org_10.33899_csmj.2014.163756 http://dx.doi.org/10.33899/csmj.2014.163756
Akram:2017:ijrr Using Multi Expression Programming in Software Effort Estimation
NajlaAkramAl-Saati.html
TaghreedRiyadhAlreffaee.html
http___www.ijrrr.com_papers10-2_paper1-Using_20Multi_20Expression_20Programming_20in_20Software_20Effort_20Estimation.pdf http://www.ijrrr.com/papers10-2/paper1-Using%20Multi%20Expression%20Programming%20in%20Software%20Effort%20Estimation.pdf
http___www.ijrrr.com_issues10-2.htm http://www.ijrrr.com/issues10-2.htm
Akram:2018:arxiv Using Multi Expression Programming in Software Effort Estimation
NajlaAkramAl-Saati.html
TaghreedRiyadhAlreffaee.html
http___arxiv.org_abs_1805.00090 http://arxiv.org/abs/1805.00090
Aksu:2012:AAPS Quality by Design Approach: Application of Artificial Intelligence Techniques of Tablets Manufactured by Direct Compression
BuketAksu.html
AnantParadkar.html
MarcelMatas.html
OzgenOzer.html
TamerGuneri.html
PeterYork.html
http___dx.doi.org_10.1208_s12249-012-9836-x http://dx.doi.org/10.1208/s12249-012-9836-x
http___dx.doi.org_10.1208_s12249-012-9836-x http://dx.doi.org/10.1208/s12249-012-9836-x
http___www.ncbi.nlm.nih.gov_pmc_articles_PMC3513460 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3513460
http___www.ncbi.nlm.nih.gov_pubmed_22956056 http://www.ncbi.nlm.nih.gov/pubmed/22956056
conf/ecsqaru/AkyolYE07 A Genetic Programming Classifier Design Approach for Cell Images
AydinAkyol.html
YusufYaslan.html
OsmanKErol.html
http___dx.doi.org_10.1007_978-3-540-75256-1_76 http://dx.doi.org/10.1007/978-3-540-75256-1_76
al-afandi:2021:Algorithms Adaptive Gene Level Mutation
JalalAl-Afandi.html
AndrasHorvath.html
https___www.mdpi.com_1999-4893_14_1_16 https://www.mdpi.com/1999-4893/14/1/16
http___dx.doi.org_10.3390_a14010016 http://dx.doi.org/10.3390/a14010016
Al-Afeef:mastersthesis Image Reconstructing in Electrical Capacitance Tomography of Manufacturing Processes Using Genetic Programming
AlaaAl-Afeef.html
https___sites.google.com_site_alaaalfeef_home_Alaa_afeef_Thesis_Final.pdf https://sites.google.com/site/alaaalfeef/home/Alaa_afeef_Thesis_Final.pdf
Al-Afeef:2010:ISDA Image reconstruction of a metal fill industrial process using Genetic Programming
AlaaAl-Afeef.html
AlaaSheta.html
AdnanAl-Rabea.html
http___sites.google.com_site_alaaalfeef_home_8.pdf http://sites.google.com/site/alaaalfeef/home/8.pdf
http___dx.doi.org_10.1109_ISDA.2010.5687299 http://dx.doi.org/10.1109/ISDA.2010.5687299
AfeefBook2011 Image Reconstruction of a Manufacturing Process: A Genetic Programming Approach
AlaaAl-Afeef.html
AlaaSheta.html
AdnanAl-Rabea.html
https___www.morebooks.de_store_gb_book_image-reconstruction-of-a-manufacturing-process_isbn_978-3-8443-2569-0 https://www.morebooks.de/store/gb/book/image-reconstruction-of-a-manufacturing-process/isbn/978-3-8443-2569-0
http___www.amazon.co.uk_Image-Reconstruction-Manufacturing-Process-Programming_dp_3844325697 http://www.amazon.co.uk/Image-Reconstruction-Manufacturing-Process-Programming/dp/3844325697
Al-Bastaki:2010:JAI GADS and Reusability
YousifAl-Bastaki.html
WasanShakerAwadHemoud.html
http___docsdrive.com_pdfs_ansinet_jai_2010_67-72.pdf http://docsdrive.com/pdfs/ansinet/jai/2010/67-72.pdf
Al-Hajj:2016:ICRERA An evolutionary computing approach for estimating global solar radiation
RamiAl-Hajj.html
AliAssi.html
FarhanBatch.html
http___dx.doi.org_10.1109_ICRERA.2016.7884553 http://dx.doi.org/10.1109/ICRERA.2016.7884553
al-hajj:2021:Processes A Hybrid LSTM-Based Genetic Programming Approach for Short-Term Prediction of Global Solar Radiation Using Weather Data
RamiAl-Hajj.html
AliAssi.html
MohamadFouad.html
EmadHAMabrouk.html
https___www.mdpi.com_2227-9717_9_7_1187 https://www.mdpi.com/2227-9717/9/7/1187
http___dx.doi.org_10.3390_pr9071187 http://dx.doi.org/10.3390/pr9071187
DBLP:conf/acpr/Al-HelaliCXZ19 Genetic Programming-Based Simultaneous Feature Selection and Imputation for Symbolic Regression with Incomplete Data
BalighAl-Helali.html
QiChen.html
BingXue.html
MengjieZhang.html
https___doi.org_10.1007_978-3-030-41299-9_44 https://doi.org/10.1007/978-3-030-41299-9_44
http___dx.doi.org_10.1007_978-3-030-41299-9_44 http://dx.doi.org/10.1007/978-3-030-41299-9_44
https___dblp.org_rec_conf_acpr_Al-HelaliCXZ19.bib https://dblp.org/rec/conf/acpr/Al-HelaliCXZ19.bib
DBLP:conf/ausai/Al-Helali00Z19 Genetic Programming for Imputation Predictor Selection and Ranking in Symbolic Regression with High-Dimensional Incomplete Data
BalighAl-Helali.html
QiChen.html
BingXue.html
MengjieZhang.html
https___doi.org_10.1007_978-3-030-35288-2_42 https://doi.org/10.1007/978-3-030-35288-2_42
http___dx.doi.org_10.1007_978-3-030-35288-2_42 http://dx.doi.org/10.1007/978-3-030-35288-2_42
https___dblp.org_rec_conf_ausai_Al-Helali00Z19.bib https://dblp.org/rec/conf/ausai/Al-Helali00Z19.bib
Al-Helali:2019:SSCI A Genetic Programming-based Wrapper Imputation Method for Symbolic Regression with Incomplete Data
BalighAl-Helali.html
QiChen.html
BingXue.html
MengjieZhang.html
http___dx.doi.org_10.1109_SSCI44817.2019.9002861 http://dx.doi.org/10.1109/SSCI44817.2019.9002861
Al-Helali:2020:SSCI Data Imputation for Symbolic Regression with Missing Values: A Comparative Study
BalighAl-Helali.html
QiChen.html
BingXue.html
MengjieZhang.html
http___dx.doi.org_10.1109_SSCI47803.2020.9308216 http://dx.doi.org/10.1109/SSCI47803.2020.9308216
Al-Helali:2020:EuroGP Hessian Complexity Measure for Genetic Programming-based Imputation Predictor Selection in Symbolic Regression with Incomplete Data
BalighAl-Helali.html
QiChen.html
BingXue.html
MengjieZhang.html
https___www.youtube.com_watch_v_zeZvFJElkBM https://www.youtube.com/watch?v=zeZvFJElkBM
http___dx.doi.org_10.1007_978-3-030-44094-7_1 http://dx.doi.org/10.1007/978-3-030-44094-7_1
Al-Helali:2020:CEC Genetic Programming with Noise Sensitivity for Imputation Predictor Selection in Symbolic Regression with Incomplete Data
BalighAl-Helali.html
QiChen.html
BingXue.html
MengjieZhang.html
http___dx.doi.org_10.1109_CEC48606.2020.9185526 http://dx.doi.org/10.1109/CEC48606.2020.9185526
Al-Helali:2020:CEC2 Multi-Tree Genetic Programming-based Transformation for Transfer Learning in Symbolic Regression with Highly Incomplete Data
BalighAl-Helali.html
QiChen.html
BingXue.html
MengjieZhang.html
http___dx.doi.org_10.1109_CEC48606.2020.9185670 http://dx.doi.org/10.1109/CEC48606.2020.9185670
Al-Helali:2020:GECCO Multi-Tree Genetic Programming for Feature Construction-Based Domain Adaptation in Symbolic Regression with Incomplete Data
BalighAl-Helali.html
QiChen.html
BingXue.html
MengjieZhang.html
https___doi.org_10.1145_3377930.3390160 https://doi.org/10.1145/3377930.3390160
http___dx.doi.org_10.1145_3377930.3390160 http://dx.doi.org/10.1145/3377930.3390160
DBLP:journals/soco/Al-Helali00021 A new imputation method based on genetic programming and weighted KNN for symbolic regression with incomplete data
BalighAl-Helali.html
QiChen.html
BingXue.html
MengjieZhang.html
https___doi.org_10.1007_s00500-021-05590-y https://doi.org/10.1007/s00500-021-05590-y
http___dx.doi.org_10.1007_s00500-021-05590-y http://dx.doi.org/10.1007/s00500-021-05590-y
https___dblp.org_rec_journals_soco_Al-Helali00021.bib https://dblp.org/rec/journals/soco/Al-Helali00021.bib
Al-Helali:ieeeTEC Multi-Tree Genetic Programming with New Operators for Transfer Learning in Symbolic Regression with Incomplete Data
BalighAl-Helali.html
QiChen.html
BingXue.html
MengjieZhang.html
http___dx.doi.org_10.1109_TEVC.2021.3079843 http://dx.doi.org/10.1109/TEVC.2021.3079843
DBLP:conf/ausai/Al-Helali00Z20 Genetic Programming-Based Selection of Imputation Methods in Symbolic Regression with Missing Values
BalighAl-Helali.html
QiChen.html
BingXue.html
MengjieZhang.html
https___doi.org_10.1007_978-3-030-64984-5_13 https://doi.org/10.1007/978-3-030-64984-5_13
http___dx.doi.org_10.1007_978-3-030-64984-5_13 http://dx.doi.org/10.1007/978-3-030-64984-5_13
https___dblp.org_rec_conf_ausai_Al-Helali00Z20.bib https://dblp.org/rec/conf/ausai/Al-Helali00Z20.bib
Al-Helali:2021:CEC GP with a Hybrid Tree-vector Representation for Instance Selection and Symbolic Regression on Incomplete Data
BalighAl-Helali.html
QiChen.html
BingXue.html
MengjieZhang.html
http___dx.doi.org_10.1109_CEC45853.2021.9504767 http://dx.doi.org/10.1109/CEC45853.2021.9504767
Al-Helali:ETCI Genetic Programming for Feature Selection Based on Feature Removal Impact in High-Dimensional Symbolic Regression
BalighAl-Helali.html
QiChen.html
BingXue.html
MengjieZhang.html
http___dx.doi.org_10.1109_TETCI.2024.3369407 http://dx.doi.org/10.1109/TETCI.2024.3369407
Al-Helali:CYB Multitree Genetic Programming With Feature-Based Transfer Learning for Symbolic Regression on Incomplete Data
BalighAl-Helali.html
QiChen.html
BingXue.html
MengjieZhang.html
http___dx.doi.org_10.1109_TCYB.2023.3270319 http://dx.doi.org/10.1109/TCYB.2023.3270319
ThunderStormGP Thunderstorms Prediction using Genetic Programming
RubaAl-Jundi.html
MaisYasen.html
NailahAl-Madi.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_al-madi_Thunderstorm_Prediction.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/al-madi/Thunderstorm_Prediction.pdf
http___www.warse.org_IJISCS_static_pdf_Issue_icsic2017sp14.pdf http://www.warse.org/IJISCS/static/pdf/Issue/icsic2017sp14.pdf
Al-Madi:2012:NaBIC Adaptive genetic programming applied to classification in data mining
NailahAl-Madi.html
SimoneALudwig.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_al-madi_Adaptive_Genetic_Programming_applied_to_Classification_in_Data_Mining.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/al-madi/Adaptive_Genetic_Programming_applied_to_Classification_in_Data_Mining.pdf
http___dx.doi.org_10.1109_NaBIC.2012.6402243 http://dx.doi.org/10.1109/NaBIC.2012.6402243
Al-Madi:2013:SSCI Improving genetic programming classification for binary and multiclass datasets
NailahAl-Madi.html
SimoneALudwig.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_al-madi_improving_GP.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/al-madi/improving_GP.pdf
http___dx.doi.org_10.1109_CIDM.2013.6597232 http://dx.doi.org/10.1109/CIDM.2013.6597232
AL-Madi:2013:GECCOcomp Segment-based genetic programming
NailahAl-Madi.html
SimoneALudwig.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_al-madi_Segment-Based_Genetic_Programming.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/al-madi/Segment-Based_Genetic_Programming.pdf
http___dx.doi.org_10.1145_2464576.2464648 http://dx.doi.org/10.1145/2464576.2464648
Al-Madi:2013:nabic Scaling Genetic Programming for Data Classification using MapReduce Methodology
NailahAl-Madi.html
SimoneALudwig.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_al-madi_MRGP.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/al-madi/MRGP.pdf
http___www.mirlabs.net_nabic13_proceedings_html_paper34.xml http://www.mirlabs.net/nabic13/proceedings/html/paper34.xml
http___dx.doi.org_10.1109_NaBIC.2013.6617851 http://dx.doi.org/10.1109/NaBIC.2013.6617851
Al-Madi:thesis Improved genetic programming techniques for data classification
NailahAl-Madi.html
https___library.ndsu.edu_ir_handle_10365_27097 https://library.ndsu.edu/ir/handle/10365/27097
https___library.ndsu.edu_ir_bitstream_handle_10365_27097_Improved_20Genetic_20Programming_20Techniques_20For_20Data_20Classification.pdf https://library.ndsu.edu/ir/bitstream/handle/10365/27097/Improved%20Genetic%20Programming%20Techniques%20For%20Data%20Classification.pdf
http___search.proquest.com_docview_1518147523 http://search.proquest.com/docview/1518147523
Al-Maqaleh:2007:isi Genetic Programming Approach to Hierarchical Production Rule Discovery
BasheerMohamadAhmadAl-Maqaleh.html
KKBharadwaj.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.308.1481 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.308.1481
http___waset.org_publications_10022 http://waset.org/publications/10022
Al-Rahamneh:2011:JSEA A New Software Reliability Growth Model: Genetic-Programming-Based Approach
ZainabAl-Rahamneh.html
MohammadReyalat.html
AlaaSheta.html
SuliemanBani-Ahmad.html
SalehAl-Oqeili.html
http___www.scirp.org_journal_PaperDownload.aspx_DOI_10.4236_jsea.2011.48054 http://www.scirp.org/journal/PaperDownload.aspx?DOI=10.4236/jsea.2011.48054
http___dx.doi.org_10.4236_jsea.2011.48054 http://dx.doi.org/10.4236/jsea.2011.48054
Al-Ratrout:2010:SSD Hybrid Multi-Agent Architecture (HMAA) for meeting scheduling
SereinAl-Ratrout.html
FrancoisSiewe.html
OmarAl-Dabbas.html
MaiAl-Fawair.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.1011.3891 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.1011.3891
http___www.cse.dmu.ac.uk__7Efsiewe_papers_serein_siewe_2010.pdf http://www.cse.dmu.ac.uk/%7Efsiewe/papers/serein_siewe_2010.pdf
http___dx.doi.org_10.1109_SSD.2010.5585505 http://dx.doi.org/10.1109/SSD.2010.5585505
Al-Saati:2018:IJCA Employing Gene Expression Programming in Estimating Software Effort
NajlaAkramAl-Saati.html
TaghreedRiyadhAlreffaee.html
http___www.ijcaonline.org_archives_volume182_number8_29837-2018917619 http://www.ijcaonline.org/archives/volume182/number8/29837-2018917619
https___www.ijcaonline.org_archives_volume182_number8_alsaati-2018-ijca-917619.pdf https://www.ijcaonline.org/archives/volume182/number8/alsaati-2018-ijca-917619.pdf
http___dx.doi.org_10.5120_ijca2018917619 http://dx.doi.org/10.5120/ijca2018917619
journals/corr/abs-2001-09923 Applying Gene Expression Programming for Solving One-Dimensional Bin-Packing Problems
NajlaAkramAl-Saati.html
https___arxiv.org_abs_2001.09923 https://arxiv.org/abs/2001.09923
Al-Sahaf:2019:GECCOcomp A genetic programming approach to feature selection and construction for ransomware, phishing and spam detection
HarithAl-Sahaf.html
IanWelch.html
http___dx.doi.org_10.1145_3319619.3322083 http://dx.doi.org/10.1145/3319619.3322083
Al-Sahaf:2019:JRSNZ A survey on evolutionary machine learning
HarithAl-Sahaf.html
YingBi.html
QiChen.html
AndrewLensen.html
YiMei.html
YananSun.html
BinhNganTran.html
BingXue.html
MengjieZhang.html
https___doi.org_10.1080_03036758.2019.1609052 https://doi.org/10.1080/03036758.2019.1609052
http___dx.doi.org_10.1080_03036758.2019.1609052 http://dx.doi.org/10.1080/03036758.2019.1609052
DBLP:conf/ijcci/ShormanFCGA18 The Influence of Input Data Standardization Methods on the Prediction Accuracy of Genetic Programming Generated Classifiers
AmaalRAlShorman.html
HossamFaris.html
PedroACastilloValdivieso.html
JuanJulianMerelo.html
NailahAl-Madi.html
https___doi.org_10.5220_0006959000790085 https://doi.org/10.5220/0006959000790085
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https___dblp.org_rec_conf_ijcci_ShormanFCGA18.bib https://dblp.org/rec/conf/ijcci/ShormanFCGA18.bib
Al-Zubaidi:thesis Multi-objective search-based approach for software project management
WisamHaithamAbboodAl-Zubaidi.html
https___ro.uow.edu.au_theses1_690_ https://ro.uow.edu.au/theses1/690/
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https___ro.uow.edu.au_cgi_viewcontent.cgi_article_1678_context_theses1 https://ro.uow.edu.au/cgi/viewcontent.cgi?article=1678&context=theses1
Alagesan:2008:AHS Intrinsic Evolution of Large Digital Circuits Using a Modular Approach
ShriVidhyaAlagesan.html
SruthiKannan.html
GShanthi.html
APShanthi.html
RanjaniParthasarathi.html
http___dx.doi.org_10.1109_AHS.2008.52 http://dx.doi.org/10.1109/AHS.2008.52
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OliverJohnYAlajas.html
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HeinrickLAquino.html
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BernardoDuarte.html
http___dx.doi.org_10.1109_IEMTRONICS55184.2022.9795744 http://dx.doi.org/10.1109/IEMTRONICS55184.2022.9795744
Alajas:2022:HNICEM Grape Phaeomoniella chlamydospora Leaf Blotch Recognition and Infected Area Approximation Using Hybrid Linear Discriminant Analysis and Genetic Programming
OliverJohnYAlajas.html
RonnieSConcepcionII.html
ArgelABandala.html
EdwinSybingco.html
ElmerJosePDadios.html
ChristanHailMendigoria.html
HeinrickLAquino.html
http___dx.doi.org_10.1109_HNICEM57413.2022.10109613 http://dx.doi.org/10.1109/HNICEM57413.2022.10109613
Alander:1995:ibGP An Indexed Bibliography of Genetic Programming
JarmoAlander.html
ftp___ftp.uwasa.fi_cs_report94-1_gaGPbib.ps.Z ftp://ftp.uwasa.fi/cs/report94-1/gaGPbib.ps.Z
Alander:1994:bib An Indexed Bibliography of Genetic Algorithms: Years 1957--1993
JarmoAlander.html
http___citeseerx.ist.psu.edu_viewdoc_download_doi_10.1.1.53.4481_rep_rep1_type_pdf http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.53.4481&rep=rep1&type=pdf
ga96fAlander 2nd order equation
JarmoAlander.html
GhodratMoghadampour.html
JariYlinen.html
ftp___ftp.uwasa.fi_cs_2NWGA_Ghodrat2.ps.Z ftp://ftp.uwasa.fi/cs/2NWGA/Ghodrat2.ps.Z
Alattas:2016:CT-IETA Hybrid evolutionary designer of modular robots
RAlattas.html
http___dx.doi.org_10.1109_CT-IETA.2016.7868256 http://dx.doi.org/10.1109/CT-IETA.2016.7868256
Alavi:2008:ICECT Soft Computing Based Approaches for High Performance Concrete
AHAlavi.html
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HosseinSalehzadeh.html
AHGandomi.html
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http___www.civil-comp.com_pubs_catalog.htm_t_contents_f_26_3 http://www.civil-comp.com/pubs/catalog.htm?t=contents&f=26_3
http___www.amazon.co.uk_Proceedings-International-Conference-Engineering-Computational_dp_1905088264 http://www.amazon.co.uk/Proceedings-International-Conference-Engineering-Computational/dp/1905088264
http___dx.doi.org_10.4203_ccp.89.86 http://dx.doi.org/10.4203/ccp.89.86
Alavi:2008:ICECT2 Utilisation of Computational Intelligence Techniques for Stabilised Soil
AHAlavi.html
AliAkbarHeshmati.html
AHGandomi.html
AminAskarinejad.html
MojtabaMirjalili.html
http___www.civil-comp.com_pubs_catalog.htm_t_contents_f_26_3 http://www.civil-comp.com/pubs/catalog.htm?t=contents&f=26_3
http___www.amazon.co.uk_Proceedings-International-Conference-Engineering-Computational_dp_1905088264 http://www.amazon.co.uk/Proceedings-International-Conference-Engineering-Computational/dp/1905088264
http___dx.doi.org_10.4203_ccp.89.175 http://dx.doi.org/10.4203/ccp.89.175
Alavi:2010:HP Comment on 'Sivapragasam C, Maheswaran R, Venkatesh V. 2008. Genetic programming approach for flood routing in natural channels. Hydrological Processes 22: 623-628'
AHAlavi.html
AHGandomi.html
MostafaGandomi.html
http___onlinelibrary.wiley.com_doi_10.1002_hyp.7511_abstract http://onlinelibrary.wiley.com/doi/10.1002/hyp.7511/abstract
http___dx.doi.org_10.1002_hyp.7511 http://dx.doi.org/10.1002/hyp.7511
Alavi:2010:EwC Multi Expression Programming: A New Approach to Formulation of Soil Classification
AHAlavi.html
AHGandomi.html
MohammadGhasemSahab.html
MostafaGandomi.html
http___dx.doi.org_10.1007_s00366-009-0140-7 http://dx.doi.org/10.1007/s00366-009-0140-7
Alavi:2010:GeoMechEng High-Precision Modeling of Uplift Capacity of Suction Caissons Using a Hybrid Computational Method
AHAlavi.html
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MehdiMousavi.html
AliMollahasani.html
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http___dx.doi.org_10.12989_gae.2010.2.4.253 http://dx.doi.org/10.12989/gae.2010.2.4.253
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AHAlavi.html
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http___www.emeraldinsight.com_journals.htm_articleid_1912293 http://www.emeraldinsight.com/journals.htm?articleid=1912293
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AHAlavi.html
AHGandomi.html
http___www.intersections.ro_Conferences_HBE2010.pdf http://www.intersections.ro/Conferences/HBE2010.pdf
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AHAlavi.html
MahmoudAmeri.html
AHGandomi.html
MohammadRezaMirzahosseini.html
http___dx.doi.org_10.1016_j.conbuildmat.2010.09.010 http://dx.doi.org/10.1016/j.conbuildmat.2010.09.010
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AHAlavi.html
AHGandomi.html
AliAkbarHeshmati.html
http___dx.doi.org_10.1016_j.oceaneng.2010.06.003 http://dx.doi.org/10.1016/j.oceaneng.2010.06.003
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PejmanAminian.html
AHGandomi.html
MiladArabEsmaeili.html
http___www.sciencedirect.com_science_article_pii_S0957417411005653 http://www.sciencedirect.com/science/article/pii/S0957417411005653
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http___dx.doi.org_10.1016_j.eswa.2011.04.049 http://dx.doi.org/10.1016/j.eswa.2011.04.049
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AHAlavi.html
AHGandomi.html
MinooModaresnezhad.html
MehdiMousavi.html
http___www.tandfonline.com_doi_abs_10.1080_13632469.2010.526752 http://www.tandfonline.com/doi/abs/10.1080/13632469.2010.526752
http___dx.doi.org_10.1080_13632469.2010.526752 http://dx.doi.org/10.1080/13632469.2010.526752
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AHAlavi.html
AHGandomi.html
http___dx.doi.org_10.1016_j.gsf.2011.12.008 http://dx.doi.org/10.1016/j.gsf.2011.12.008
http___www.sciencedirect.com_science_article_pii_S167498711100137X http://www.sciencedirect.com/science/article/pii/S167498711100137X
books/sp/chiong2012/AlaviGM12 A Genetic Programming-Based Approach for the Performance Characteristics Assessment of Stabilized Soil
AHAlavi.html
AHGandomi.html
AliMollahasani.html
http___dx.doi.org_10.1007_978-3-642-23424-8_11 http://dx.doi.org/10.1007/978-3-642-23424-8_11
Alavi:2013:MWGTE Linear and Tree-Based Genetic Programming for Solving Geotechnical Engineering Problems
AHAlavi.html
AHGandomi.html
AliMollahasani.html
JafarBolouriBazaz.html
http___dx.doi.org_10.1016_B978-0-12-398296-4.00012-X http://dx.doi.org/10.1016/B978-0-12-398296-4.00012-X
http___www.sciencedirect.com_science_article_pii_B978012398296400012X http://www.sciencedirect.com/science/article/pii/B978012398296400012X
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AHAlavi.html
AHGandomi.html
HadiChahkandiNejad.html
AliMollahasani.html
AzadehRashed.html
http___link.springer.com_article_10.1007_2Fs00521-012-1144-6 http://link.springer.com/article/10.1007%2Fs00521-012-1144-6
http___dx.doi.org_10.1007_s00521-012-1144-6 http://dx.doi.org/10.1007/s00521-012-1144-6
Alavi:2014:GF New design equations for estimation of ultimate bearing capacity of shallow foundations resting on rock masses
AHAlavi.html
EhsanSadrossadat.html
http___dx.doi.org_10.1016_j.gsf.2014.12.005 http://dx.doi.org/10.1016/j.gsf.2014.12.005
http___www.sciencedirect.com_science_article_pii_S1674987114001625 http://www.sciencedirect.com/science/article/pii/S1674987114001625
Alavi:2016:GSF Progress of machine learning in geosciences: Preface
AHAlavi.html
AHGandomi.html
DavidJohnLary.html
http___www.sciencedirect.com_science_article_pii_S1674987115001243 http://www.sciencedirect.com/science/article/pii/S1674987115001243
http___dx.doi.org_10.1016_j.gsf.2015.10.006 http://dx.doi.org/10.1016/j.gsf.2015.10.006
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AHAlavi.html
HasseneHasni.html
ImenZaabar.html
NizarLajnef.html
http___dx.doi.org_10.1016_j.acme.2016.06.004 http://dx.doi.org/10.1016/j.acme.2016.06.004
http___www.sciencedirect.com_science_article_pii_S1644966516300814 http://www.sciencedirect.com/science/article/pii/S1644966516300814
alba:1996:tGPrdflc Type-Constrained Genetic Programming for Rule-Base Definition in Fuzzy Logic Controllers
EnriqueAlba.html
CarlosCotta.html
JoseMariaTroya.html
http___cognet.mit.edu_sites_default_files_books_9780262315876_pdfs_9780262315876_chap31.pdf http://cognet.mit.edu/sites/default/files/books/9780262315876/pdfs/9780262315876_chap31.pdf
http___cognet.mit.edu_library_books_view_isbn_0262611279 http://cognet.mit.edu/library/books/view?isbn=0262611279
alba:1999:edflcSGP Evolutionary Design of Fuzzy Logic Controllers Using Strongly-Typed GP
EnriqueAlba.html
CarlosCotta.html
JoseMariaTroya.html
http___docto-si.ugr.es_Mathware_v6n1_PS_7-alba.ps.gz http://docto-si.ugr.es/Mathware/v6n1/PS/7-alba.ps.gz
Alba05 Parallel Metaheuristics: A New Class of Algorithms
EnriqueAlba.html
https___www.amazon.com_Parallel-Metaheuristics-New-Class-Algorithms_dp_0471678066_ref_sr_1_1 https://www.amazon.com/Parallel-Metaheuristics-New-Class-Algorithms/dp/0471678066/ref=sr_1_1
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MunaAlbalushi.html
RashaAlJassim.html
KaranJetly.html
RayaAlKhayari.html
HilalAlMaqbali.html
http___dx.doi.org_10.1109_SWC57546.2023.10449077 http://dx.doi.org/10.1109/SWC57546.2023.10449077
Albarracin:2016:SIBGRAPI Learning to Combine Spectral Indices with Genetic Programming
JuanFelipeHernandezAlbarracin.html
JeferssonAlexdosSantos.html
RicardodaSilvaTorres.html
http___dx.doi.org_10.1109_SIBGRAPI.2016.063 http://dx.doi.org/10.1109/SIBGRAPI.2016.063
albarracin:2020:RS A Soft Computing Approach for Selecting and Combining Spectral Bands
JuanFelipeHernandezAlbarracin.html
RafaelSOliveira.html
MarinaHirota.html
JeferssonAlexdosSantos.html
RicardodaSilvaTorres.html
https___www.mdpi.com_2072-4292_12_14_2267 https://www.mdpi.com/2072-4292/12/14/2267
http___dx.doi.org_10.3390_rs12142267 http://dx.doi.org/10.3390/rs12142267
Albinati:2014:SMGP A Study of Semantic Geometric Crossover Operators in Regression Problems
JulioAlbinati.html
GiseleLPappa.html
FernandoEstebanBarrilOtero.html
LuizOtavioVilasBoasOliveira.html
http___www.cs.put.poznan.pl_kkrawiec_smgp2014_uploads_Site_Albinati.pdf http://www.cs.put.poznan.pl/kkrawiec/smgp2014/uploads/Site/Albinati.pdf
Albinati:2015:EuroGP The Effect of Distinct Geometric Semantic Crossover Operators in Regression Problems
JulioAlbinati.html
GiseleLPappa.html
FernandoEstebanBarrilOtero.html
LuizOtavioVilasBoasOliveira.html
http___dx.doi.org_10.1007_978-3-319-16501-1 http://dx.doi.org/10.1007/978-3-319-16501-1
albrecht:2022:Polymers Multi-Dimensional Regression Models for Predicting the Wall Thickness Distribution of Corrugated Pipes
HannyAlbrecht.html
WolfgangRoland.html
ChristianFiebig.html
GeraldRomanBerger-Weber.html
https___www.mdpi.com_2073-4360_14_17_3455 https://www.mdpi.com/2073-4360/14/17/3455
http___dx.doi.org_10.3390_polym14173455 http://dx.doi.org/10.3390/polym14173455
albuquerque:2000:irfl On the Impact of the Representation on Fitness Landscapes
PaulAlbuquerque.html
BastienChopard.html
ChristianMazza.html
MarcoTomassini.html
http___dx.doi.org_10.1007_978-3-540-46239-2_1 http://dx.doi.org/10.1007/978-3-540-46239-2_1
alcaraz:2019:JMMP Predictive Models of Double-Vibropolishing in Bowl System Using Artificial Intelligence Methods
Joselito_Yam_AlcarazII.html
KunalAhluwalia.html
Swee-HockYeo.html
https___www.mdpi.com_2504-4494_3_1_27 https://www.mdpi.com/2504-4494/3/1/27
http___dx.doi.org_10.3390_jmmp3010027 http://dx.doi.org/10.3390/jmmp3010027
Alchirch:2022:EuroGP Evolving Monotone Conjunctions in Regimes Beyond Proved Convergence
Pantia-MarinaAlchirch.html
DimitriosIDiochnos.html
KatiaPapakonstantinopoulou.html
http___dx.doi.org_10.1007_978-3-031-02056-8_15 http://dx.doi.org/10.1007/978-3-031-02056-8_15
Aldeia:2018:CEC Lightweight Symbolic Regression with the Interaction-Transformation Representation
GuilhermeSeidyoImaiAldeia.html
FabricioOlivettideFranca.html
http___dx.doi.org_10.1109_CEC.2018.8477951 http://dx.doi.org/10.1109/CEC.2018.8477951
Aldeia:2020:CEC A Parametric Study of Interaction-Transformation Evolutionary Algorithm for Symbolic Regression
GuilhermeSeidyoImaiAldeia.html
FabricioOlivettideFranca.html
http___dx.doi.org_10.1109_CEC48606.2020.9185521 http://dx.doi.org/10.1109/CEC48606.2020.9185521
Aldeia:2021:GECCO Measuring Feature Importance of Symbolic Regression Models Using Partial Effects
GuilhermeSeidyoImaiAldeia.html
FabricioOlivettideFranca.html
http___dx.doi.org_10.1145_3449639.3459302 http://dx.doi.org/10.1145/3449639.3459302
aldeia:2022:SymReg Interaction-Transformation Evolutionary Algorithm with coefficients optimization
GuilhermeSeidyoImaiAldeia.html
FabricioOlivettideFranca.html
http___dx.doi.org_10.1145_3520304.3533987 http://dx.doi.org/10.1145/3520304.3533987
Aldeia:2022:GPEM Interpretability in symbolic regression: a benchmark of explanatory methods using the Feynman data set
GuilhermeSeidyoImaiAldeia.html
FabricioOlivettideFranca.html
http___dx.doi.org_10.1007_s10710-022-09435-x http://dx.doi.org/10.1007/s10710-022-09435-x
https___github.com_gAldeia_iirsBenchmark https://github.com/gAldeia/iirsBenchmark
Aleb:2012:GECCOcomp A new framework for scalable genetic programming
NassimaAleb.html
SamirKechid.html
http___dx.doi.org_10.1145_2330784.2330859 http://dx.doi.org/10.1145/2330784.2330859
Aleb:2013:GECCOcomp An interpolation based crossover operator for genetic programming
NassimaAleb.html
SamirKechid.html
http___dx.doi.org_10.1145_2464576.2482689 http://dx.doi.org/10.1145/2464576.2482689
Aleksandrov:2013:JCSSI The use of evolutionary programming based on training examples for the generation of finite state machines for controlling objects with complex behavior
AVAleksandrov.html
SergeyVKazakov.html
AASergushichev.html
FedorTsarev.html
AnatolyAbramovichShalyto.html
http___dx.doi.org_10.1134_S1064230713020020 http://dx.doi.org/10.1134/S1064230713020020
Alekseeva:2018:Algorithms Evolving the Controller of Automated Steering of a Car in Slippery Road Conditions
NataliaAlekseeva.html
IvanTTanev.html
KatsunoriShimohara.html
http___www.mdpi.com_1999-4893_11_7_108 http://www.mdpi.com/1999-4893/11/7/108
http___www.mdpi.com_1999-4893_11_7_108_pdf http://www.mdpi.com/1999-4893/11/7/108/pdf
https___jglobal.jst.go.jp_en_detail_JGLOBAL_ID_201902252618556627 https://jglobal.jst.go.jp/en/detail?JGLOBAL_ID=201902252618556627
http___dx.doi.org_10.3390_a11070108 http://dx.doi.org/10.3390/a11070108
Alekseeva:2019:AIM On the Emergence of Oscillations in the Evolved Autosteering of a Car on Slippery Roads
NataliaAlekseeva.html
IvanTTanev.html
KatsunoriShimohara.html
http___dx.doi.org_10.1109_AIM.2019.8868610 http://dx.doi.org/10.1109/AIM.2019.8868610
DBLP:journals/algorithms/AlekseevaTS20 PD Steering Controller Utilizing the Predicted Position on Track for Autonomous Vehicles Driven on Slippery Roads
NataliaAlekseeva.html
IvanTTanev.html
KatsunoriShimohara.html
https___dblp.org_rec_journals_algorithms_AlekseevaTS20.bib https://dblp.org/rec/journals/algorithms/AlekseevaTS20.bib
https___www.mdpi.com_1999-4893_13_2_48_pdf https://www.mdpi.com/1999-4893/13/2/48/pdf
http___dx.doi.org_10.3390_a13020048 http://dx.doi.org/10.3390/a13020048
Alemdag:2016:EG Modeling deformation modulus of a stratified sedimentary rock mass using neural network, fuzzy inference and genetic programming
SelcukAlemdag.html
ZGurocak.html
AbdulkadirCevik.html
AliFiratCabalar.html
CandanGokceoglu.html
http___dx.doi.org_10.1016_j.enggeo.2015.12.002 http://dx.doi.org/10.1016/j.enggeo.2015.12.002
http___www.sciencedirect.com_science_article_pii_S0013795215300971 http://www.sciencedirect.com/science/article/pii/S0013795215300971
aler:1998:5parity Immediate transference of global improvements to all individuals in a population in Genetic Programming compared to Automatically Defined Functions for the EVEN-5 PARITY problem
RicardoAlerMur.html
http___dx.doi.org_10.1007_BFb0055928 http://dx.doi.org/10.1007/BFb0055928
aler:1998:ehp Evolved Heuristics for Planning
RicardoAlerMur.html
DanielBorrajo.html
PedroIsasiVinuela.html
http___dx.doi.org_10.1007_BFb0040753 http://dx.doi.org/10.1007/BFb0040753
icml98-ricardo Genetic Programming and Deductive-Inductive Learning: A Multistrategy Approach
RicardoAlerMur.html
DanielBorrajo.html
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aler:thesis Programacion Genetica de Heuristicas para Planificacion
RicardoAlerMur.html
http___oa.upm.es_1101_1_10199907.pdf http://oa.upm.es/1101/1/10199907.pdf
aler:2000:G GP fitness functions to evolve heuristics for planning
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oai:CiteSeerPSU:341634 Knowledge Representation Issues in Control Knowledge Learning
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http___dl.acm.org_citation.cfm_id_645529.657964 http://dl.acm.org/citation.cfm?id=645529.657964
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aler:2001:glckg Grammars for Learning Control Knowledge with GP
RicardoAlerMur.html
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http___scalab.uc3m.es__dborrajo_papers_cec01.ps.gz http://scalab.uc3m.es/~dborrajo/papers/cec01.ps.gz
http___dx.doi.org_10.1109_CEC.2001.934330 http://dx.doi.org/10.1109/CEC.2001.934330
aler:2001:ECJ Learning to Solve Planning Problems Efficiently by Means of Genetic Programming
RicardoAlerMur.html
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http___www.mitpressjournals.org_doi_pdf_10.1162_10636560152642841 http://www.mitpressjournals.org/doi/pdf/10.1162/10636560152642841
http___dx.doi.org_10.1162_10636560152642841 http://dx.doi.org/10.1162/10636560152642841
aler:2002:AI Using genetic programming to learn and improve control knowledge
RicardoAlerMur.html
DanielBorrajo.html
PedroIsasiVinuela.html
http___scalab.uc3m.es__dborrajo_papers_aij-evock.ps.gz http://scalab.uc3m.es/~dborrajo/papers/aij-evock.ps.gz
http___citeseer.ist.psu.edu_511810.html http://citeseer.ist.psu.edu/511810.html
http___dx.doi.org_10.1016_S0004-3702_02_00246-1 http://dx.doi.org/10.1016/S0004-3702(02)00246-1
Aleshunas:2011:CAoUHiA Cost-benefit Analysis of Using Heuristics in ACGP
JohnAleshunas.html
CezaryZJanikow.html
http___dx.doi.org_10.1109_CEC.2011.5949749 http://dx.doi.org/10.1109/CEC.2011.5949749
Alexander:2009:cec Constructing an Optimisation Phase Using Grammatical Evolution
BradAlexander.html
MichaelGratton.html
http___dx.doi.org_10.1109_CEC.2009.4983083 http://dx.doi.org/10.1109/CEC.2009.4983083
alexander2014boosting Boosting Search for Recursive Functions Using Partial Call-Trees
BradAlexander.html
BradZacher.html
http___dx.doi.org_10.1007_978-3-319-10762-2_38 http://dx.doi.org/10.1007/978-3-319-10762-2_38
Alexander:2014:shonan Discussion on Automatic Fault Localisation and Repair
BradAlexander.html
http___shonan.nii.ac.jp_seminar_reports_wp-content_uploads_sites_56_2015_01_No.2014-13.pdf http://shonan.nii.ac.jp/seminar/reports/wp-content/uploads/sites/56/2015/01/No.2014-13.pdf
Alexander:2016:PPSN Using Scaffolding with Partial Call-Trees to Improve Search
BradAlexander.html
ConniePyromallis.html
GeorgeLorenzetti.html
BradZacher.html
http___dx.doi.org_10.1007_978-3-319-45823-6_3 http://dx.doi.org/10.1007/978-3-319-45823-6_3
Alexander:2018:arxiv A Preliminary Exploration of Floating Point Grammatical Evolution
BradAlexander.html
http___arxiv.org_abs_1806.03455 http://arxiv.org/abs/1806.03455
conf/eann/AlexandirisK13 Temperature Forecasting in the Concept of Weather Derivatives: a Comparison between Wavelet Networks and Genetic Programming
AntoniosKAlexandiris.html
MichaelKampouridis.html
http___dx.doi.org_10.1007_978-3-642-41013-0 http://dx.doi.org/10.1007/978-3-642-41013-0
http___dx.doi.org_10.1007_978-3-642-41013-0_2 http://dx.doi.org/10.1007/978-3-642-41013-0_2
http___dx.doi.org_10.1007_978-3-642-41013-0_2 http://dx.doi.org/10.1007/978-3-642-41013-0_2
Alexandridis:2017:IJF A comparison of wavelet networks and genetic programming in the context of temperature derivatives
AntonisKAlexandridis.html
MichaelKampouridis.html
SamCramer.html
http___dx.doi.org_10.1016_j.ijforecast.2016.07.002 http://dx.doi.org/10.1016/j.ijforecast.2016.07.002
http___www.sciencedirect.com_science_article_pii_S0169207016300711 http://www.sciencedirect.com/science/article/pii/S0169207016300711
Alfaro-Cid:thesis Optimisation of Time Domain Controllers for Supply Ships Using Genetic Algorithms and Genetic Programming
EvaAlfaro-Cid.html
http___casnew.iti.es_papers_ThesisEva.pdf http://casnew.iti.es/papers/ThesisEva.pdf
http___ethos.bl.uk_OrderDetails.do_did_49_uin_uk.bl.ethos.398769 http://ethos.bl.uk/OrderDetails.do?did=49&uin=uk.bl.ethos.398769
alfespshar05 Clasificaci\'on de Senales de Electroencefalograma Usando Programaci\'on Gen\'etica
EvaAlfaro-Cid.html
AnnaEsparcia-Alcazar.html
KennethCSharman.html
http___www.iti.upv.es_cas_nade_data_maeb05vfinal.pdf http://www.iti.upv.es/cas/nade/data/maeb05vfinal.pdf
eurogp:Alfaro-CidMM05 Evolution of a Strategy for Ship Guidance Using Two Implementations of Genetic Programming
EvaAlfaro-Cid.html
EuanWilliamMcGookin.html
DavidJamesMurray-Smith.html
http___dx.doi.org_10.1007_978-3-540-31989-4_22 http://dx.doi.org/10.1007/978-3-540-31989-4_22
http___dx.doi.org_10.1007_b107383 http://dx.doi.org/10.1007/b107383
conf/esann/Alfaro-CidES06 Using distributed genetic programming to evolve classifiers for a brain computer interface
EvaAlfaro-Cid.html
AnnaEsparcia-Alcazar.html
KennethCSharman.html
http___www.dice.ucl.ac.be_Proceedings_esann_esannpdf_es2006-44.pdf http://www.dice.ucl.ac.be/Proceedings/esann/esannpdf/es2006-44.pdf
Alfaro-Cid:2006:CEC Evolving a Learning Machine by Genetic Programming
EvaAlfaro-Cid.html
KennethCSharman.html
AnnaEsparcia-Alcazar.html
http___dx.doi.org_10.1109_CEC.2006.1688316 http://dx.doi.org/10.1109/CEC.2006.1688316
alshaes2007a Predicci\'on de quiebra empresarial usando programaci\'on gen\'etica
EvaAlfaro-Cid.html
KennethCSharman.html
AnnaEsparcia-Alcazar.html
https___dialnet.unirioja.es_servlet_articulo_codigo_4142085 https://dialnet.unirioja.es/servlet/articulo?codigo=4142085
alshaescu2007a Aprendizaje autom\'atico con programaci\'on gen\'etica
EvaAlfaro-Cid.html
KennethCSharman.html
AnnaEsparcia-Alcazar.html
AlbertoCuestaCanada.html
https___dialnet.unirioja.es_servlet_articulo_codigo_4148339 https://dialnet.unirioja.es/servlet/articulo?codigo=4148339
alfaro-cid:evows07 A genetic programming approach for bankruptcy prediction using a highly unbalanced database
EvaAlfaro-Cid.html
KennethCSharman.html
AnnaEsparcia-Alcazar.html
http___dx.doi.org_10.1007_978-3-540-71805-5_19 http://dx.doi.org/10.1007/978-3-540-71805-5_19
conf/evoW/Alfaro-CidMGES08 A SOM and GP Tool for Reducing the Dimensionality of a Financial Distress Prediction Problem
EvaAlfaro-Cid.html
AntonioMMoraGarcia.html
JuanJulianMerelo.html
AnnaEsparcia-Alcazar.html
KennethCSharman.html
http___dx.doi.org_10.1007_978-3-540-78761-7_13 http://dx.doi.org/10.1007/978-3-540-78761-7_13
Alfaro-Cid:2008:cec Comparing Multiobjective Evolutionary Ensembles for Minimizing Type I and II Errors for Bankruptcy Prediction
EvaAlfaro-Cid.html
PedroACastilloValdivieso.html
AnnaEsparcia-Alcazar.html
KennethCSharman.html
JuanJulianMerelo.html
AlbertoPrietoEspinosa.html
JuanLJLaredo.html
http___dx.doi.org_10.1109_CEC.2008.4631188 http://dx.doi.org/10.1109/CEC.2008.4631188
Alfaro-Cid:2008:ieeeITS Genetic Programming for the Automatic Design of Controllers for a Surface Ship
EvaAlfaro-Cid.html
EuanWilliamMcGookin.html
DavidJamesMurray-Smith.html
ThorIFossen.html
http___dx.doi.org_10.1109_TITS.2008.922932 http://dx.doi.org/10.1109/TITS.2008.922932
http___results.ref.ac.uk_Submissions_Output_2145080 http://results.ref.ac.uk/Submissions/Output/2145080
Alfaro-Cid:2008:HIS Prune and Plant: A New Bloat Control Method for Genetic Programming
EvaAlfaro-Cid.html
AnnaEsparcia-Alcazar.html
KennethCSharman.html
FranciscoFernandezdeVega.html
JuanJulianMerelo.html
http___dx.doi.org_10.1109_HIS.2008.127 http://dx.doi.org/10.1109/HIS.2008.127
series/sci/Alfaro-CidCSE08 Strong Typing, Variable Reduction and Bloat Control for Solving the Bankruptcy Prediction Problem Using Genetic Programming
EvaAlfaro-Cid.html
AlbertoCuestaCanada.html
KennethCSharman.html
AnnaEsparcia-Alcazar.html
http___dx.doi.org_10.1007_978-3-540-77477-8_9 http://dx.doi.org/10.1007/978-3-540-77477-8_9
Alfaro-Cid:2009:evonum Modeling Pheromone Dispensers Using Genetic Programming
EvaAlfaro-Cid.html
AnnaEsparcia-Alcazar.html
PilarMoya.html
BeatriuFemenia-Ferrer.html
KennethCSharman.html
JuanJulianMerelo.html
http___dx.doi.org_10.1007_978-3-642-01129-0_73 http://dx.doi.org/10.1007/978-3-642-01129-0_73
DBLP:conf/gecco/Alfaro-CidEMMFSP09 Multiobjective genetic programming approach for a smooth modeling of the release kinetics of a pheromone dispenser
EvaAlfaro-Cid.html
AnnaEsparcia-Alcazar.html
PilarMoya.html
JuanJulianMerelo.html
BeatriuFemenia-Ferrer.html
KennethCSharman.html
JaimePrimo.html
http___dx.doi.org_10.1145_1570256.1570309 http://dx.doi.org/10.1145/1570256.1570309
Alfaro-Cid:2010:EC Bloat Control Operators and Diversity in Genetic Programming: A Comparative Study
EvaAlfaro-Cid.html
JuanJulianMerelo.html
FranciscoFernandezdeVega.html
AnnaEsparcia-Alcazar.html
KennethCSharman.html
http___dx.doi.org_10.1162_evco.2010.18.2.18206 http://dx.doi.org/10.1162/evco.2010.18.2.18206
Alfaro-Cid:2014:EC Genetic programming and serial processing for time series classification
EvaAlfaro-Cid.html
KennethCSharman.html
AnnaEsparcia-Alcazar.html
http___dx.doi.org_10.1162_EVCO_a_00110 http://dx.doi.org/10.1162/EVCO_a_00110
alfonseca:2004:GPEM Book Review: Grammatical Evolution: Evolutionary Automatic Programming in an Arbitrary Language
ManuelAlfonseca.html
AlfonsoOrtegadelaPuente.html
http___dx.doi.org_10.1023_B_GENP.0000036057.27304.5b http://dx.doi.org/10.1023/B:GENP.0000036057.27304.5b
journals/biosystems/AlfonsecaG13 Evolving an ecology of mathematical expressions with grammatical evolution
ManuelAlfonseca.html
FranciscoJoseSolerGil.html
http___dx.doi.org_10.1016_j.biosystems.2012.12.004 http://dx.doi.org/10.1016/j.biosystems.2012.12.004
journals/complexity/AlfonsecaG15 Evolving a predator-prey ecosystem of mathematical expressions with grammatical evolution
ManuelAlfonseca.html
FranciscoJoseSolerGil.html
http___dx.doi.org_10.1002_cplx.21507 http://dx.doi.org/10.1002/cplx.21507
Alghamdi:2019:GI7 Toward Human-Like Summaries Generated from Heterogeneous Software Artefacts
MahfouthAlghamdi.html
ChristophTreude.html
MarkusWagner.html
https___arxiv.org_abs_1905.02258 https://arxiv.org/abs/1905.02258
https___ctreude.files.wordpress.com_2019_05_gi19.pdf https://ctreude.files.wordpress.com/2019/05/gi19.pdf
http___dx.doi.org_10.1145_3319619.3326814 http://dx.doi.org/10.1145/3319619.3326814
Alghieth:2015:INISTA Development of 2D curve-fitting genetic/gene-expression programming technique for efficient time-series financial forecasting
ManalAlghieth.html
YingjieYang.html
FranciscoChiclana.html
http___dx.doi.org_10.1109_INISTA.2015.7276734 http://dx.doi.org/10.1109/INISTA.2015.7276734
Alghieth:2016:CEC Development of a Genetic Programming-based GA Methodology for the Prediction of Short-to-Medium-term Stock Markets
ManalAlghieth.html
YingjieYang.html
FranciscoChiclana.html
https___www.dora.dmu.ac.uk_handle_2086_11896 https://www.dora.dmu.ac.uk/handle/2086/11896
http___dx.doi.org_10.1109_CEC.2016.7744083 http://dx.doi.org/10.1109/CEC.2016.7744083
ALHAMED:2022:energy Exergoeconomic analysis and optimization of a solar energy-based integrated system with oxy-combustion for combined power cycle and carbon capturing
KhaledHMAl-Hamed.html
IbrahimDincer.html
http___dx.doi.org_10.1016_j.energy.2022.123814 http://dx.doi.org/10.1016/j.energy.2022.123814
https___www.sciencedirect.com_science_article_pii_S0360544222007174 https://www.sciencedirect.com/science/article/pii/S0360544222007174
Alhejali:2010:UKCI Evolving diverse Ms. Pac-Man playing agents using genetic programming
AtifMAlhejali.html
SimonMLucas.html
http___dx.doi.org_10.1109_UKCI.2010.5625586 http://dx.doi.org/10.1109/UKCI.2010.5625586
Alhejali:2011:CIG Using a Training Camp with Genetic Programming to Evolve Ms Pac-Man Agents
AtifMAlhejali.html
SimonMLucas.html
http___cilab.sejong.ac.kr_cig2011_proceedings_CIG2011_papers_paper31.pdf http://cilab.sejong.ac.kr/cig2011/proceedings/CIG2011/papers/paper31.pdf
http___dx.doi.org_10.1109_CIG.2011.6031997 http://dx.doi.org/10.1109/CIG.2011.6031997
Alhejali:2013:CIG Using genetic programming to evolve heuristics for a Monte Carlo Tree Search Ms Pac-Man agent
AtifMAlhejali.html
SimonMLucas.html
http___dx.doi.org_10.1109_CIG.2013.6633639 http://dx.doi.org/10.1109/CIG.2013.6633639
Alhejali:thesis Genetic Programming and the Evolution of Games Playing Agents
AtifMAlhejali.html
http___www.essex.ac.uk_csee_news_and_seminars_newsEvent.aspx_e_id_5796 http://www.essex.ac.uk/csee/news_and_seminars/newsEvent.aspx?e_id=5796
Ali:2008:GPTP Genetic Programming for Incentive-Based Design within a Cultural Algorithms Framework
MostafaZAli.html
RobertGReynolds.html
XiangdongChe.html
http___dx.doi.org_10.1007_978-0-387-87623-8_16 http://dx.doi.org/10.1007/978-0-387-87623-8_16
DBLP:journals/evi/AliM20 Difficult first strategy GP: an inexpensive sampling technique to improve the performance of genetic programming
MuhammadQuamberAli.html
HammadMajeed.html
https___doi.org_10.1007_s12065-020-00355-2 https://doi.org/10.1007/s12065-020-00355-2
http___dx.doi.org_10.1007_s12065-020-00355-2 http://dx.doi.org/10.1007/s12065-020-00355-2
https___dblp.org_rec_journals_evi_AliM20.bib https://dblp.org/rec/journals/evi/AliM20.bib
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MirMasoudAleAli.html
AliJamali.html
AmirhosseinAsgharnia.html
RezaAnsari.html
RammohanMallipeddi.html
https___rdcu.be_dl3Cd https://rdcu.be/dl3Cd
https___doi.org_10.1007_s00521-021-06453-1 https://doi.org/10.1007/s00521-021-06453-1
http___dx.doi.org_10.1007_s00521-021-06453-1 http://dx.doi.org/10.1007/s00521-021-06453-1
https___dblp.org_rec_journals_nca_AliJAAM22.bib https://dblp.org/rec/journals/nca/AliJAAM22.bib
ALI:2018:AFM Cotton yield prediction with Markov Chain Monte Carlo-based simulation model integrated with genetic programing algorithm: A new hybrid copula-driven approach
MumtazAli.html
RavineshCDeo.html
NathanJDowns.html
TekMaraseni.html
http___dx.doi.org_10.1016_j.agrformet.2018.09.002 http://dx.doi.org/10.1016/j.agrformet.2018.09.002
http___www.sciencedirect.com_science_article_pii_S0168192318302971 http://www.sciencedirect.com/science/article/pii/S0168192318302971
ALI:2020:HPM Chapter 2 - Modeling wheat yield with data-intelligent algorithms: artificial neural network versus genetic programming and minimax probability machine regression
MumtazAli.html
RavineshCDeo.html
http___dx.doi.org_10.1016_B978-0-12-816514-0.00002-3 http://dx.doi.org/10.1016/B978-0-12-816514-0.00002-3
http___www.sciencedirect.com_science_article_pii_B9780128165140000023 http://www.sciencedirect.com/science/article/pii/B9780128165140000023
Ali:2015:JBI Can-Evo-Ens: Classifier stacking based evolutionary ensemble system for prediction of human breast cancer using amino acid sequences
SafdarAli.html
AbdulMajid.html
http___dx.doi.org_10.1016_j.jbi.2015.01.004 http://dx.doi.org/10.1016/j.jbi.2015.01.004
http___www.sciencedirect.com_science_article_pii_S1532046415000064 http://www.sciencedirect.com/science/article/pii/S1532046415000064
Ali:2010:ieeeTSE A Systematic Review of the Application and Empirical Investigation of Search-Based Test-Case Generation
ShaukatAli.html
LionelCBriand.html
HadiHemmati.html
RajwinderKaurPanesar-Walawege.html
http___ieeexplore.ieee.org_stamp_stamp.jsp_tp__arnumber_5210118_isnumber_4359463 http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5210118&isnumber=4359463
http___dx.doi.org_10.1109_TSE.2009.52 http://dx.doi.org/10.1109/TSE.2009.52
Ali:2012:SETIT Miner for OACCR: Case of medical data analysis in knowledge discovery
SamaherHusseinAli.html
http___dx.doi.org_10.1109_SETIT.2012.6482043 http://dx.doi.org/10.1109/SETIT.2012.6482043
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MuhammadSarmadAli.html
MeghanaKshirsagar.html
EnriqueNaredo.html
ConorRyan.html
http___dx.doi.org_10.5220_0010393012741281 http://dx.doi.org/10.5220/0010393012741281
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MuhammadSarmadAli.html
MeghanaKshirsagar.html
EnriqueNaredo.html
ConorRyan.html
http___dx.doi.org_10.5220_0010691500003063 http://dx.doi.org/10.5220/0010691500003063
ali:2022:GECCO Automated Grammar-based Feature Selection in Symbolic Regression
MuhammadSarmadAli.html
MeghanaKshirsagar.html
EnriqueNaredo.html
ConorRyan.html
http___dx.doi.org_10.1145_3512290.3528852 http://dx.doi.org/10.1145/3512290.3528852
Ali:2022:ICAIoT Optimization of the Number and Placement of Routers in Wireless Mesh Networks
MohammedSadeqAliAli.html
MesutCevik.html
http___dx.doi.org_10.1109_ICAIoT57170.2022.10121861 http://dx.doi.org/10.1109/ICAIoT57170.2022.10121861
Alibekov:2016:CDC Symbolic method for deriving policy in reinforcement learning
EduardAlibekov.html
JiriKubalik.html
RobertBabuska.html
http___dx.doi.org_10.1109_CDC.2016.7798684 http://dx.doi.org/10.1109/CDC.2016.7798684
Alibekov:thesis Symbolic Regression for Reinforcement Learning in Continuous Spaces
EduardAlibekov.html
https___cyber.felk.cvut.cz_news_eduard-alibekov-defended-his-ph-d-thesis_ https://cyber.felk.cvut.cz/news/eduard-alibekov-defended-his-ph-d-thesis/
http___hdl.handle.net_10467_98283 http://hdl.handle.net/10467/98283
https___dspace.cvut.cz_handle_10467_98283 https://dspace.cvut.cz/handle/10467/98283
https___dspace.cvut.cz_bitstream_handle_10467_98283_F3-D-2021-Alibekov-Eduard-phd_ready.pdf https://dspace.cvut.cz/bitstream/handle/10467/98283/F3-D-2021-Alibekov-Eduard-phd_ready.pdf
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PouryaAlidoust.html
MohsenKeramati.html
PouriaHamidian.html
AmirTavanaAmlashi.html
MahsaModiriGharehveran.html
AliBehnood.html
http___dx.doi.org_10.1016_j.jclepro.2021.127053 http://dx.doi.org/10.1016/j.jclepro.2021.127053
https___www.sciencedirect.com_science_article_pii_S0959652621012725 https://www.sciencedirect.com/science/article/pii/S0959652621012725
Aliehyaei:2014:SKIMA Ant Colony Optimization, Genetic Programming and a hybrid approach for credit scoring: A comparative study
RAliehyaei.html
SKhan.html
http___dx.doi.org_10.1109_SKIMA.2014.7083391 http://dx.doi.org/10.1109/SKIMA.2014.7083391
AliGhorbani2010620 Sea water level forecasting using genetic programming and comparing the performance with Artificial Neural Networks
MohammadAliGhorbani.html
RahmanKhatibi.html
AliAytek.html
OlegMakarynskyy.html
JalalShiri.html
http___dx.doi.org_10.1016_j.cageo.2009.09.014 http://dx.doi.org/10.1016/j.cageo.2009.09.014
http___www.sciencedirect.com_science_article_B6V7D-4YCS020-1_2_514d629e145e62f37dbf599a1a7608a9 http://www.sciencedirect.com/science/article/B6V7D-4YCS020-1/2/514d629e145e62f37dbf599a1a7608a9
AliGhorbani:2012:GPnew Inter-Comparison of an Evolutionary Programming Model of Suspended Sediment Time-Series with Other Local Models
MohammadAliGhorbani.html
RahmanKhatibi.html
HAsadi.html
PYousefi.html
http___dx.doi.org_10.5772_47801 http://dx.doi.org/10.5772/47801
Alissa:2021:CEC A Neural Approach to Generation of Constructive Heuristics
MohamadAlissa.html
KevinSim.html
EmmaHart.html
http___dx.doi.org_10.1109_CEC45853.2021.9504989 http://dx.doi.org/10.1109/CEC45853.2021.9504989
Aliwi:2020:SIU Firefly Programming For Symbolic Regression Problems
MohamedAliwi.html
SelcukAslan.html
SercanDemirci.html
http___dx.doi.org_10.1109_SIU49456.2020.9302201 http://dx.doi.org/10.1109/SIU49456.2020.9302201
Alizadeh:2011:EAIS Kernel evolution for support vector classification
MehrdadAlizadeh.html
MohammadMehdiEbadzadeh.html
http___dx.doi.org_10.1109_EAIS.2011.5945924 http://dx.doi.org/10.1109/EAIS.2011.5945924
Aljahdali:2010:AICCSA Software effort estimation by tuning COOCMO model parameters using differential evolution
SultanAljahdali.html
AlaaSheta.html
http___dx.doi.org_10.1109_AICCSA.2010.5586985 http://dx.doi.org/10.1109/AICCSA.2010.5586985
Aljahdali:2013:IJARAI Evolving Software Effort Estimation Models Using Multigene Symbolic Regression Genetic Programming
SultanAljahdali.html
AlaaSheta.html
http___thesai.org_Downloads_IJARAI_Volume2No12_Paper_7-Evolving_Software_Effort_Estimation_Models_Using.pdf http://thesai.org/Downloads/IJARAI/Volume2No12/Paper_7-Evolving_Software_Effort_Estimation_Models_Using.pdf
http___dx.doi.org_10.14569_IJARAI.2013.021207 http://dx.doi.org/10.14569/IJARAI.2013.021207
Aljero:2020:ICOASE Hate Speech Detection Using Genetic Programming
MonaKhalifaAAljero.html
NazifeDimililer.html
http___dx.doi.org_10.1109_ICOASE51841.2020.9436621 http://dx.doi.org/10.1109/ICOASE51841.2020.9436621
Aljero:2021:A Genetic Programming Approach to Detect Hate Speech in Social Media
MonaKhalifaAAljero.html
NazifeDimililer.html
http___dx.doi.org_10.1109_ACCESS.2021.3104535 http://dx.doi.org/10.1109/ACCESS.2021.3104535
DBLP:journals/elektrik/AljeroD23 Binary text classification using genetic programming with crossover-based oversampling for imbalanced datasets
MonaKhalifaAAljero.html
NazifeDimililer.html
https___doi.org_10.55730_1300-0632.3978 https://doi.org/10.55730/1300-0632.3978
http___dx.doi.org_10.55730_1300-0632.3978 http://dx.doi.org/10.55730/1300-0632.3978
https___dblp.org_rec_journals_elektrik_AljeroD23.bib https://dblp.org/rec/journals/elektrik/AljeroD23.bib
Alkhaldi:2022:IEEEAccess Ensemble Optimization for Invasive Ductal Carcinoma (IDC) Classification Using Differential Cartesian Genetic Programming
EidAlkhaldi.html
EzzatollahSalari.html
http___dx.doi.org_10.1109_ACCESS.2022.3228176 http://dx.doi.org/10.1109/ACCESS.2022.3228176
Alkroosh:thesis Modelling pile capacity and load-settlement behaviour of piles embedded in sand \& mixed soils using artificial intelligence
IyadSalimJaborAlkroosh.html
http___espace.library.curtin.edu.au_Modelling.pdf http://espace.library.curtin.edu.au/Modelling.pdf
http___hdl.handle.net_20.500.11937_351 http://hdl.handle.net/20.500.11937/351
https___espace.curtin.edu.au_handle_20.500.11937_351 https://espace.curtin.edu.au/handle/20.500.11937/351
Alkroosh:book Modelling pile capacity \& load-settlement behaviour from CPT data: For piles in sand and mixed soils using artificial intelligence
IyadSalimJaborAlkroosh.html
https___www.amazon.co.uk_Modelling-pile-capacity-load-settlement-behaviour_dp_3848436906 https://www.amazon.co.uk/Modelling-pile-capacity-load-settlement-behaviour/dp/3848436906
Alkroosh:2014:SF Predicting pile dynamic capacity via application of an evolutionary algorithm
IyadSalimJaborAlkroosh.html
HNikraz.html
http___dx.doi.org_10.1016_j.sandf.2014.02.013 http://dx.doi.org/10.1016/j.sandf.2014.02.013
http___www.sciencedirect.com_science_article_pii_S0038080614000213 http://www.sciencedirect.com/science/article/pii/S0038080614000213
Allen:2003:NB High-throughput classification of yeast mutants for functional genomics using metabolic footprinting
JessAllen.html
HazelMDavey.html
DavidIBroadhurst.html
JimKHeald.html
JemJRowland.html
StephenGOliver.html
DouglasBKell.html
http___dbkgroup.org_Papers_NatureBiotechnology21_692-696_.pdf http://dbkgroup.org/Papers/NatureBiotechnology21(692-696).pdf
http___dx.doi.org_10.1038_nbt823 http://dx.doi.org/10.1038/nbt823
Allen:2004:AEM Discrimination of Modes of Action of Antifungal Substances by Use of Metabolic Footprinting
JessAllen.html
HazelMDavey.html
DavidIBroadhurst.html
JemJRowland.html
StephenGOliver.html
DouglasBKell.html
http___dx.doi.org_10.1128_AEM.70.10.6157-6165.2004 http://dx.doi.org/10.1128/AEM.70.10.6157-6165.2004
DBLP:conf/gecco/AllenBHK09 Evolving reusable 3D packing heuristics with genetic programming
SamDAllen.html
EdmundBurke.html
MatthewRHyde.html
GrahamKendall.html
http___dx.doi.org_10.1145_1569901.1570029 http://dx.doi.org/10.1145/1569901.1570029
Allen:thesis Algorithms and data structures for three-dimensional packing
SamDAllen.html
http___etheses.nottingham.ac.uk_2779_1_thesis_nicer.pdf http://etheses.nottingham.ac.uk/2779/1/thesis_nicer.pdf
Almal:2005:GPTP Content Diversity in Genetic Programming and its Correlation with Fitness
ArpitAAlmal.html
WilliamPWorzel.html
EricAWollesen.html
DuncanMacLean.html
http___dx.doi.org_10.1007_0-387-28111-8_12 http://dx.doi.org/10.1007/0-387-28111-8_12
1144040 Using genetic programming to classify node positive patients in bladder cancer
ArpitAAlmal.html
AnirbanPMitra.html
RamHDatar.html
PeterFLenehan.html
DavidWFry.html
RichardJCote.html
WilliamPWorzel.html
http___gpbib.cs.ucl.ac.uk_gecco2006_docs_p239.pdf http://gpbib.cs.ucl.ac.uk/gecco2006/docs/p239.pdf
http___dx.doi.org_10.1145_1143997.1144040 http://dx.doi.org/10.1145/1143997.1144040
Almal:2007:GPTP Program Structure-Fitness Disconnect and Its Impact On Evolution In GP
ArpitAAlmal.html
DuncanMacLean.html
WilliamPWorzel.html
http___dx.doi.org_10.1007_978-0-387-76308-8_9 http://dx.doi.org/10.1007/978-0-387-76308-8_9
Almal:2008:GPTP A Population Based Study of Evolutionary Dynamics in Genetic Programming
ArpitAAlmal.html
DuncanMacLean.html
WilliamPWorzel.html
http___dx.doi.org_10.1007_978-0-387-87623-8_2 http://dx.doi.org/10.1007/978-0-387-87623-8_2
almarimi2020community On the Detection of Community Smells using Genetic Programming-based Ensemble Classifier Chain
NuriAlmarimi.html
AliOuni.html
MoatazChouchen.html
IslemSaidani.html
MohamedWiemMkaouer.html
https___conf.researchr.org_details_icgse-2020_icgse-2020-research-papers_6_On-the-Detection-of-Community-Smells-using-Genetic-Programming-based-Ensemble-Classif https://conf.researchr.org/details/icgse-2020/icgse-2020-research-papers/6/On-the-Detection-of-Community-Smells-using-Genetic-Programming-based-Ensemble-Classif
http___dx.doi.org_10.1145_3372787.3390439 http://dx.doi.org/10.1145/3372787.3390439
https___github.com_GP-ECC_community-smells https://github.com/GP-ECC/community-smells
Almarimi:2020:ICGSE On the Detection of Community Smells Using Genetic Programming-based Ensemble Classifier Chain
NuriAlmarimi.html
AliOuni.html
MoatazChouchen.html
IslemSaidani.html
MohamedWiemMkaouer.html
http___ieeexplore.ieee.org_xpl_articleDetails.jsp_tp__arnumber_10148849 http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=10148849
alMasalma:2022:GECCOcomp Genetic Programming with External Memory in Sequence Recall Tasks
MihyarAlMasalma.html
MalcolmHeywood.html
http___dx.doi.org_10.1145_3520304.3528883 http://dx.doi.org/10.1145/3520304.3528883
https___vimeo.com_723511528 https://vimeo.com/723511528
alMasalma:2023:GPEM Benchmarking ensemble genetic programming with a linked list external memory on scalable partially observable tasks
MihyarAlMasalma.html
MalcolmHeywood.html
https___rdcu.be_daFLX https://rdcu.be/daFLX
http___dx.doi.org_10.1007_s10710-022-09446-8 http://dx.doi.org/10.1007/s10710-022-09446-8
Almeida:2017:ieeeGRSL Remote Sensing Image Classification Using Genetic-Programming-Based Time Series Similarity Functions
AlexandreEAlmeida.html
RicardodaSilvaTorres.html
http___dx.doi.org_10.1109_LGRS.2017.2719033 http://dx.doi.org/10.1109/LGRS.2017.2719033
Almeida:2015:EI Deriving vegetation indices for phenology analysis using genetic programming
JurandyGAlmeidaJr.html
JeferssonAlexdosSantos.html
WanerOMiranda.html
BrunadeCostaAlberton.html
LeonorPatriciaCerdeiraMorellato.html
RicardodaSilvaTorres.html
http___dx.doi.org_10.1016_j.ecoinf.2015.01.003 http://dx.doi.org/10.1016/j.ecoinf.2015.01.003
http___www.sciencedirect.com_science_article_pii_S1574954115000114 http://www.sciencedirect.com/science/article/pii/S1574954115000114
Almeida:2016:SIBGRAPI A Genetically Programmable Hybrid Virtual Reconfigurable Architecture for Image Filtering Applications
MAAlmeida.html
EmersonCarlosPedrino.html
MariadoCarmoNicoletti.html
http___dx.doi.org_10.1109_SIBGRAPI.2016.029 http://dx.doi.org/10.1109/SIBGRAPI.2016.029
Almeida:2018:ICAE Hybrid Evolvable Hardware for automatic generation of image filters
MAAlmeida.html
EmersonCarlosPedrino.html
http___dx.doi.org_10.3233_ICA-180561 http://dx.doi.org/10.3233/ICA-180561
almgren:2000:CADGP Communicating Agents Developed with Genetic Programming
MagnusAlmgren.html
AlMosawe:thesis Investigation of the performance of cracked steel members strengthened with carbon fibre reinforced polymers under impact loads
AlaaAl-Mosawe.html
http___hdl.handle.net_1959.3_414765 http://hdl.handle.net/1959.3/414765
https___researchbank.swinburne.edu.au_file_0cca0b0c-0219-4cb0-b0d3-b33bcdb159a8_1_Alaa_20Al-Mosawe_20Thesis.pdf https://researchbank.swinburne.edu.au/file/0cca0b0c-0219-4cb0-b0d3-b33bcdb159a8/1/Alaa%20Al-Mosawe%20Thesis.pdf
AlMosawe:2017:CS Strength of Cfrp-steel double strap joints under impact loads using genetic programming
AlaaAl-Mosawe.html
RobinKalfat.html
RiadhAl-Mahaidi.html
http___www.sciencedirect.com_science_article_pii_S0263822316317767 http://www.sciencedirect.com/science/article/pii/S0263822316317767
http___dx.doi.org_10.1016_j.compstruct.2016.11.016 http://dx.doi.org/10.1016/j.compstruct.2016.11.016
Al-Mulla:2009:EMBC Classification of localized muscle fatigue with genetic programming on sEMG during isometric contraction
MohammadRAl-Mulla.html
FranciscoSepulveda.html
MartinColley.html
AhmedKattan.html
http___dx.doi.org_10.1109_IEMBS.2009.5335368 http://dx.doi.org/10.1109/IEMBS.2009.5335368
AlNajar:2022:GI Genetic Improvement of Shoreline Evolution Forecasting Models
MahmoudAlNajar.html
RafaelAlmar.html
ErwinWJBergsma.html
Jean-MarcDelvit.html
DennisGWilson.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_gecco2022_gi2022_papers_AlNajar_2022_GI.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/gecco2022/gi2022/papers/AlNajar_2022_GI.pdf
http___dx.doi.org_10.1145_3520304.3534041 http://dx.doi.org/10.1145/3520304.3534041
https___sourcesup.renater.fr_wiki_atelieromp__media_presentation_envia_mahmoud_al_ajar_omp_v2.pdf https://sourcesup.renater.fr/wiki/atelieromp/_media/presentation_envia_mahmoud_al_ajar_omp_v2.pdf
http___geneticimprovementofsoftware.com_slides_gi2022gecco_najar-genetic-improvement-of-shoreline-evolution-forecasting-gi-gecco-22.pdf http://geneticimprovementofsoftware.com/slides/gi2022gecco/najar-genetic-improvement-of-shoreline-evolution-forecasting-gi-gecco-22.pdf
https___www.youtube.com_watch_v_66UiDk9lsnc_list_PLI8fiFpB7BoIHgl5CsdtjfWvHlE5N6pje_index_6 https://www.youtube.com/watch?v=66UiDk9lsnc&list=PLI8fiFpB7BoIHgl5CsdtjfWvHlE5N6pje&index=6
alnajar2023improving Improving a Shoreline Forecasting Model with Symbolic Regression
MahmoudAlNajar.html
RafaelAlmar.html
ErwinWJBergsma.html
Jean-MarcDelvit.html
DennisGWilson.html
https___www.climatechange.ai_papers_iclr2023_21 https://www.climatechange.ai/papers/iclr2023/21
https___www.climatechange.ai_papers_iclr2023_21_paper.pdf https://www.climatechange.ai/papers/iclr2023/21/paper.pdf
https___hal.science_hal-04281530 https://hal.science/hal-04281530
AlNajar:thesis Estimating Coastal Evolution with Machine Learning
MahmoudAlNajar.html
https___www.isae-supaero.fr_IMG_pdf_annonce_soutenance_these_m_al_najar.pdf https://www.isae-supaero.fr/IMG/pdf/annonce_soutenance_these_m_al_najar.pdf
https___zoom.us_my_dennisgwilson https://zoom.us/my/dennisgwilson
Alonso:2008:ieeeICTAI Straight Line Programs: A New Linear Genetic Programming Approach
CesarLuisAlonso.html
JorgePuentePeinador.html
JoseLuisMontanaArnaiz.html
http___dx.doi.org_10.1109_ICTAI.2008.14 http://dx.doi.org/10.1109/ICTAI.2008.14
Alonso:2009:IJAIT A new Linear Genetic Programming approach based on straight line programs: some Theoretical and Experimental Aspects
CesarLuisAlonso.html
JoseLuisMontanaArnaiz.html
JorgePuentePeinador.html
CruzEnriqueBorges.html
http___dx.doi.org_10.1142_S0218213009000391 http://dx.doi.org/10.1142/S0218213009000391
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.301.3133 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.301.3133
http___paginaspersonales.deusto.es_cruz.borges_Papers_08IJAIT.pdf http://paginaspersonales.deusto.es/cruz.borges/Papers/08IJAIT.pdf
Alonso:2009:ICTAI Evolution Strategies for Constants Optimization in Genetic Programming
CesarLuisAlonso.html
JoseLuisMontanaArnaiz.html
CruzEnriqueBorges.html
http___dx.doi.org_10.1109_ICTAI.2009.35 http://dx.doi.org/10.1109/ICTAI.2009.35
conf/ijcci/AlonsoMB13 Model Complexity Control in Straight Line Program Genetic Programming
CesarLuisAlonso.html
JoseLuisMontanaArnaiz.html
CruzEnriqueBorges.html
https___ijcci.scitevents.org_Abstract.aspx_idEvent_0fEvcjBHBM8_ https://ijcci.scitevents.org/Abstract.aspx?idEvent=0fEvcjBHBM8=
https___www.scitepress.org_Link.aspx_doi_10.5220_0004554100250036 https://www.scitepress.org/Link.aspx?doi=10.5220/0004554100250036
http___dx.doi.org_10.5220_0004554100250036 http://dx.doi.org/10.5220/0004554100250036
Alonso:2016:CI Genetic Programming Model Regularization
CesarLuisAlonso.html
JoseLuisMontanaArnaiz.html
CruzEnriqueBorges.html
https___www.springerprofessional.de_en_genetic-programming-model-regularization_6856568 https://www.springerprofessional.de/en/genetic-programming-model-regularization/6856568
http___dx.doi.org_10.1007_978-3-319-23392-5_6 http://dx.doi.org/10.1007/978-3-319-23392-5_6
conf/incdm/AlonsoMPSV08 Modelling Medical Time Series Using Grammar-Guided Genetic Programming
FernandoAlonso.html
LoicMartinezNormand.html
AuroraPerez-Perez.html
AgustinSantamaria.html
JuanPedroCaraca-valenteHernandez.html
http___dx.doi.org_10.1007_978-3-540-70720-2_3 http://dx.doi.org/10.1007/978-3-540-70720-2_3
Alonso:2010:gecco GGGP-based method for modeling time series: operator selection, parameter optimization and expert evaluation
FernandoAlonso.html
LoicMartinezNormand.html
AgustinSantamaria.html
AuroraPerez-Perez.html
JuanPedroCaraca-valenteHernandez.html
http___dx.doi.org_10.1145_1830483.1830664 http://dx.doi.org/10.1145/1830483.1830664
alotaibi:2023:Buildings Symbolic Regression Model for Predicting Compression Strength of Prismatic Masonry Columns Confined by FRP
KhalidSaqerAlotaibi.html
ABMSaifulIslam.html
https___www.mdpi.com_2075-5309_13_2_509 https://www.mdpi.com/2075-5309/13/2/509
http___dx.doi.org_10.3390_buildings13020509 http://dx.doi.org/10.3390/buildings13020509
MoniraAloud-Ph.D.Thesis Modelling the High-Frequency FX Market: An Agent-Based Approach
MoniraAloud.html
http___fac.ksu.edu.sa_sites_default_files_MoniraAloud-Ph.D.Thesis.pdf http://fac.ksu.edu.sa/sites/default/files/MoniraAloud-Ph.D.Thesis.pdf
aloud:2017:coin Modeling the High-Frequency FX Market: An Agent-Based Approach
MoniraAloud.html
MariaFasli.html
EdwardPKTsang.html
AlexanderDupuis.html
RichardOlsen.html
http___repository.essex.ac.uk_18823_ http://repository.essex.ac.uk/18823/
http___dx.doi.org_10.1111_coin.12114 http://dx.doi.org/10.1111/coin.12114
Al-Rabadi:2006:EPB Book Review: Lee Spector $\bullet$ Automatic Quantum Computer Programming: A Genetic Programming Approach. Kluwer Academic Publishers (2004). ISBN 1-4020-7894-3. 100. 153 pp.
AnasNAl-Rabadi.html
http___comjnl.oxfordjournals.org_cgi_content_full_49_1_129 http://comjnl.oxfordjournals.org/cgi/content/full/49/1/129
http___comjnl.oxfordjournals.org_cgi_reprint_49_1_129 http://comjnl.oxfordjournals.org/cgi/reprint/49/1/129
http___dx.doi.org_10.1093_comjnl_bxh134 http://dx.doi.org/10.1093/comjnl/bxh134
Alrefaie:2013:CIES A smart agent to trade and predict foreign exchange market
MohamedTaherAlrefaie.html
Alaa-AldineHamouda.html
RabieRamadan.html
http___dx.doi.org_10.1109_CIES.2013.6611741 http://dx.doi.org/10.1109/CIES.2013.6611741
ALSAFY:2019:CBM Utilization of magnetic water in cementitious adhesive for near-surface mounted CFRP strengthening system
RawaaAl-Safy.html
AlaaAl-Mosawe.html
RiadhAl-Mahaidi.html
http___dx.doi.org_10.1016_j.conbuildmat.2018.11.219 http://dx.doi.org/10.1016/j.conbuildmat.2018.11.219
http___www.sciencedirect.com_science_article_pii_S0950061818329143 http://www.sciencedirect.com/science/article/pii/S0950061818329143
Al-Sahaf:2011:ICARA Automatic feature extraction and image classification using genetic programming
HarithAl-Sahaf.html
KouroshNeshatian.html
MengjieZhang.html
http___dx.doi.org_10.1109_ICARA.2011.6144874 http://dx.doi.org/10.1109/ICARA.2011.6144874
Al-Sahaf:2012:CEC Extracting Image Features for Classification By Two-Tier Genetic Programming
HarithAl-Sahaf.html
AndySong.html
KouroshNeshatian.html
MengjieZhang.html
http___dx.doi.org_10.1109_CEC.2012.6256412 http://dx.doi.org/10.1109/CEC.2012.6256412
AlSahaf2012 Two-Tier genetic programming: towards raw pixel-based image classification
HarithAl-Sahaf.html
AndySong.html
KouroshNeshatian.html
MengjieZhang.html
http___dx.doi.org_10.1016_j.eswa.2012.02.123 http://dx.doi.org/10.1016/j.eswa.2012.02.123
http___www.sciencedirect.com_science_article_pii_S0957417412003867 http://www.sciencedirect.com/science/article/pii/S0957417412003867
Al-Sahaf:2013:CEC Hybridisation of Genetic Programming and Nearest Neighbour for Classification
HarithAl-Sahaf.html
AndySong.html
MengjieZhang.html
http___dx.doi.org_10.1109_CEC.2013.6557889 http://dx.doi.org/10.1109/CEC.2013.6557889
Al-Sahaf:2013:IVCNZ Binary image classification using genetic programming based on local binary patterns
HarithAl-Sahaf.html
MengjieZhang.html
MarkJohnston.html
http___dx.doi.org_10.1109_IVCNZ.2013.6727019 http://dx.doi.org/10.1109/IVCNZ.2013.6727019
Al-Sahaf:2013:AI A One-Shot Learning Approach to Image Classification Using Genetic Programming
HarithAl-Sahaf.html
MengjieZhang.html
MarkJohnston.html
http___dx.doi.org_10.1007_978-3-319-03680-9_13 http://dx.doi.org/10.1007/978-3-319-03680-9_13
http___dx.doi.org_10.1007_978-3-319-03680-9_13 http://dx.doi.org/10.1007/978-3-319-03680-9_13
conf/ivcnz/Al-SahafZJ14 Genetic Programming Evolved Filters from a Small Number of Instances for Multiclass Texture Classification
HarithAl-Sahaf.html
MengjieZhang.html
MarkJohnston.html
http___dx.doi.org_10.1145_2683405.2683418 http://dx.doi.org/10.1145/2683405.2683418
http___dl.acm.org_citation.cfm_id_2683405 http://dl.acm.org/citation.cfm?id=2683405
conf/seal/Al-SahafZJ14 Genetic Programming for Multiclass Texture Classification Using a Small Number of Instances
HarithAl-Sahaf.html
MengjieZhang.html
MarkJohnston.html
http___dx.doi.org_10.1007_978-3-319-13563-2 http://dx.doi.org/10.1007/978-3-319-13563-2
Al-Sahaf:2015:CEC Image Descriptor: A Genetic Programming Approach to Multiclass Texture Classification
HarithAl-Sahaf.html
MengjieZhang.html
MarkJohnston.html
BrijeshVerma.html
http___dx.doi.org_10.1109_CEC.2015.7257190 http://dx.doi.org/10.1109/CEC.2015.7257190
Al-Sahaf:2015:GECCO Evolutionary Image Descriptor: A Dynamic Genetic Programming Representation for Feature Extraction
HarithAl-Sahaf.html
MengjieZhang.html
MarkJohnston.html
http___doi.acm.org_10.1145_2739480.2754661 http://doi.acm.org/10.1145/2739480.2754661
http___dx.doi.org_10.1145_2739480.2754661 http://dx.doi.org/10.1145/2739480.2754661
Al-Sahaf:2015:EC Binary Image Classification: A Genetic Programming Approach to the Problem of Limited Training Instances
HarithAl-Sahaf.html
MengjieZhang.html
MarkJohnston.html
http___dx.doi.org_10.1162_EVCO_a_00146 http://dx.doi.org/10.1162/EVCO_a_00146
Al-Sahaf:2017a:ieeeTEC Automatically Evolving Rotation-Invariant Texture Image Descriptors by Genetic Programming
HarithAl-Sahaf.html
AusamaAl-Sahaf.html
BingXue.html
MarkJohnston.html
MengjieZhang.html
http___dx.doi.org_10.1109_TEVC.2016.2577548 http://dx.doi.org/10.1109/TEVC.2016.2577548
Al-Sahaf:2017:GECCO Evolving Texture Image Descriptors Using a Multitree Genetic Programming Representation
HarithAl-Sahaf.html
BingXue.html
MengjieZhang.html
http___doi.acm.org_10.1145_3067695.3076039 http://doi.acm.org/10.1145/3067695.3076039
http___dx.doi.org_10.1145_3067695.3076039 http://dx.doi.org/10.1145/3067695.3076039
conf/seal/Al-SahafXZ17 A Multitree Genetic Programming Representation for Automatically Evolving Texture Image Descriptors
HarithAl-Sahaf.html
BingXue.html
MengjieZhang.html
http___dx.doi.org_10.1007_978-3-319-68759-9_41 http://dx.doi.org/10.1007/978-3-319-68759-9_41
Al-Sahaf:2017:ieeeTEC Keypoints Detection and Feature Extraction: A Dynamic Genetic Programming Approach for Evolving Rotation-invariant Texture Image Descriptors
HarithAl-Sahaf.html
MengjieZhang.html
AusamaAl-Sahaf.html
MarkJohnston.html
http___ieeexplore.ieee.org_stamp_stamp.jsp_tp__arnumber_7885048 http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7885048
http___dx.doi.org_10.1109_TEVC.2017.2685639 http://dx.doi.org/10.1109/TEVC.2017.2685639
Al-Sahaf:thesis Genetic Programming for Automatically Synthesising Robust Image Descriptors with A Small Number of Instances
HarithAl-Sahaf.html
http___hdl.handle.net_10063_6177 http://hdl.handle.net/10063/6177
https___researcharchive.vuw.ac.nz_xmlui_bitstream_handle_10063_6177_thesis.pdf https://researcharchive.vuw.ac.nz/xmlui/bitstream/handle/10063/6177/thesis.pdf
Al-Sahaf:EC Automatically Evolving Texture Image Descriptors using the Multi-tree Representation in Genetic Programming using Few Instances
HarithAl-Sahaf.html
AusamaAl-Sahaf.html
BingXue.html
MengjieZhang.html
https___doi.org_10.1162_evco_a_00284 https://doi.org/10.1162/evco_a_00284
http___dx.doi.org_10.1162_evco_a_00284 http://dx.doi.org/10.1162/evco_a_00284
eurogp:Al-SakranKJ05 Automated Re-invention of a Previously Patented Optical Lens System Using Genetic Programming
SameerHAl-Sakran.html
JohnKoza.html
LeeWJones.html
http___dx.doi.org_10.1007_978-3-540-31989-4_3 http://dx.doi.org/10.1007/978-3-540-31989-4_3
http___dx.doi.org_10.1007_b107383 http://dx.doi.org/10.1007/b107383
Al_Sallami:2012:wce Genetic Programming Testing Model
NadaMAAlSallami.html
http___www.iaeng.org_publication_WCE2012_WCE2012_pp737-741.pdf http://www.iaeng.org/publication/WCE2012/WCE2012_pp737-741.pdf
Alsberg:2000:CILS A new 3D molecular structure representation using quantum topology with application to structure-property relationships
BjornKAlsberg.html
NathalieMarchand-Geneste.html
RossDKing.html
http___dx.doi.org_10.1016_S0169-7439_00_00101-5 http://dx.doi.org/10.1016/S0169-7439(00)00101-5
Alshahwan:2018:SSBSE Deploying Search Based Software Engineering with Sapienz at Facebook
NadiaAlshahwan.html
XinboGao.html
MarkHarman.html
YueJia.html
KeMao.html
AlexanderMols.html
TaijinTei.html
IlyaZorin.html
https___discovery.ucl.ac.uk_id_eprint_10060107_ https://discovery.ucl.ac.uk/id/eprint/10060107/
https___rdcu.be_dBszz https://rdcu.be/dBszz
http___dx.doi.org_10.1007_978-3-319-99241-9_1 http://dx.doi.org/10.1007/978-3-319-99241-9_1
https___developers.facebook.com_videos_f8-2018_friction-free-fault-finding-with-sapienz_ https://developers.facebook.com/videos/f8-2018/friction-free-fault-finding-with-sapienz/
Alshahwan:2019:GI Industrial experience of Genetic Improvement in Facebook
NadiaAlshahwan.html
https___doi.org_10.1109_GI.2019.00010 https://doi.org/10.1109/GI.2019.00010
http___www.cs.ucl.ac.uk_staff_W.Langdon_icse2019_Alshahwan_2019_GI.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/icse2019/Alshahwan_2019_GI.pdf
http___dx.doi.org_10.1109_GI.2019.00010 http://dx.doi.org/10.1109/GI.2019.00010
Alshahwan:2023:ICST Software Testing Research Challenges: An Industrial Perspective
NadiaAlshahwan.html
MarkHarman.html
AlexandruMarginean.html
https___research.facebook.com_file_1235985840680898_Software-Testing-Research-Challenges--An-Industrial-Perspective.pdf https://research.facebook.com/file/1235985840680898/Software-Testing-Research-Challenges--An-Industrial-Perspective.pdf
https___conf.researchr.org_track_icst-2023_icst-2023-keynotes https://conf.researchr.org/track/icst-2023/icst-2023-keynotes
http___dx.doi.org_10.1109_ICST57152.2023.00008 http://dx.doi.org/10.1109/ICST57152.2023.00008
alshahwan2024assured Assured LLM-Based Software Engineering
NadiaAlshahwan.html
MarkHarman.html
InnaHarper.html
AlexandruMarginean.html
ShubhoSengupta.html
EddyWang.html
https___arxiv.org_abs_2402.04380 https://arxiv.org/abs/2402.04380
DBLP:conf/gecco/AlshammariLHZ09 Classifying SSH encrypted traffic with minimum packet header features using genetic programming
RiyadAlshammari.html
PeterLichodzijewski.html
MalcolmHeywood.html
NurZincir-Heywood.html
http___dx.doi.org_10.1145_1570256.1570358 http://dx.doi.org/10.1145/1570256.1570358
Alshammari:2010:cec Unveiling Skype encrypted tunnels using GP
RiyadAlshammari.html
NurZincir-Heywood.html
http___dx.doi.org_10.1109_CEC.2010.5586288 http://dx.doi.org/10.1109/CEC.2010.5586288
Alshammari:2010:CNSM An investigation on the identification of VoIP traffic: Case study on Gtalk and Skype
RiyadAlshammari.html
NurZincir-Heywood.html
http___dx.doi.org_10.1109_CNSM.2010.5691210 http://dx.doi.org/10.1109/CNSM.2010.5691210
Alshammari:2011:IMLltbtptsaVt Is Machine Learning losing the battle to produce transportable signatures against VoIP traffic?
RiyadAlshammari.html
NurZincir-Heywood.html
http___dx.doi.org_10.1109_CEC.2011.5949799 http://dx.doi.org/10.1109/CEC.2011.5949799
Alshammari:2015:JKSUCIS Identification of VoIP encrypted traffic using a machine learning approach
RiyadAlshammari.html
NurZincir-Heywood.html
http___dx.doi.org_10.1016_j.jksuci.2014.03.013 http://dx.doi.org/10.1016/j.jksuci.2014.03.013
http___www.sciencedirect.com_science_article_pii_S1319157814000561 http://www.sciencedirect.com/science/article/pii/S1319157814000561
AlShammari:2016:Energy Prediction of heat load in district heating systems by Support Vector Machine with Firefly searching algorithm
EimanTamahAl-Shammari.html
AframKeivani.html
ShahaboddinShamshirband.html
AliMostafaeipour.html
PorLipYee.html
DaliborPetkovic.html
SudheerCh.html
http___dx.doi.org_10.1016_j.energy.2015.11.079 http://dx.doi.org/10.1016/j.energy.2015.11.079
http___www.sciencedirect.com_science_article_pii_S0360544215016424 http://www.sciencedirect.com/science/article/pii/S0360544215016424
ALSHARIF:2022:JBE Machine learning-based analysis of occupant-centric aspects: Critical elements in the energy consumption of residential buildings
RashedAlsharif.html
MehrdadArashpour.html
EmadaldinMohammadiGolafshani.html
MRezaHosseini.html
VictorChang.html
JennyZhou.html
http___dx.doi.org_10.1016_j.jobe.2021.103846 http://dx.doi.org/10.1016/j.jobe.2021.103846
https___www.sciencedirect.com_science_article_pii_S2352710221017046 https://www.sciencedirect.com/science/article/pii/S2352710221017046
alshayeb:2021:Energies Field-Based Prediction Models for Stop Penalty in Traffic Signal Timing Optimization
SuhaibAlshayeb.html
AleksandarStevanovic.html
BBrianPark.html
https___www.mdpi.com_1996-1073_14_21_7431 https://www.mdpi.com/1996-1073/14/21/7431
http___dx.doi.org_10.3390_en14217431 http://dx.doi.org/10.3390/en14217431
Alsheddy:2012:CEC Off-line Parameter Tuning for Guided Local Search Using Genetic Programming
AbdullahAlsheddy.html
MichaelKampouridis.html
http___dx.doi.org_10.1109_CEC.2012.6256155 http://dx.doi.org/10.1109/CEC.2012.6256155
Alsina:2015:ieeeSSCI The Influence of the Picking Times of the Components in Time and Space Assembly Line Balancing Problems: An Approach with Evolutionary Algorithms
EmanuelFedericoAlsina.html
NicolaCapodieci.html
GiacomoCabri.html
AlbertoRegattieri.html
http___dx.doi.org_10.1109_SSCI.2015.148 http://dx.doi.org/10.1109/SSCI.2015.148
Alsina:thesis Models for the prediction and management of complex systems in industrial and dynamic environments
EmanuelFedericoAlsina.html
https___morethesis.unimore.it_theses_available_etd-11262015-110057_ https://morethesis.unimore.it/theses/available/etd-11262015-110057/
https___morethesis.unimore.it_theses_available_etd-11262015-110057_unrestricted_thesis.pdf https://morethesis.unimore.it/theses/available/etd-11262015-110057/unrestricted/thesis.pdf
Alsulaiman:2009:ieeeCISDA Feature selection and classification in genetic programming: Application to haptic-based biometric data
FawazAAlsulaiman.html
NizarSakr.html
JulioJValdes.html
AbdulmotalebElSaddik.html
NicolasDGeorganas.html
http___dx.doi.org_10.1109_CISDA.2009.5356540 http://dx.doi.org/10.1109/CISDA.2009.5356540
Alsulaiman:2012:CISDA Identity verification based on haptic handwritten signatures: Genetic programming with unbalanced data
FawazAAlsulaiman.html
JulioJValdes.html
AbdulmotalebElSaddik.html
http___dx.doi.org_10.1109_CISDA.2012.6291531 http://dx.doi.org/10.1109/CISDA.2012.6291531
journals/tomccap/AlsulaimanSVE13 Identity verification based on handwritten signatures with haptic information using genetic programming
FawazAAlsulaiman.html
NizarSakr.html
JulioJValdes.html
AbdulmotalebElSaddik.html
http___doi.acm.org_http___dx.doi.org_10.1145_2457450.2457453 http://doi.acm.org/http://dx.doi.org/10.1145/2457450.2457453
http___dx.doi.org_10.1145_2457450.2457453 http://dx.doi.org/10.1145/2457450.2457453
Alsulaiman:2013:HAVE Identity verification based on haptic handwritten Signature: Novel fitness functions for GP framework
FawazAAlsulaiman.html
JulioJValdes.html
AbdulmotalebElSaddik.html
http___dx.doi.org_10.1109_HAVE.2013.6679618 http://dx.doi.org/10.1109/HAVE.2013.6679618
Alsulaiman_Fawaz_Abdulaziz_A_2013_thesis Towards a Continuous User Authentication Using Haptic Information
FawazAAlsulaiman.html
https___ruor.uottawa.ca_bitstream_10393_23946_3_Alsulaiman_Fawaz_Abdulaziz_A_2013_thesis.pdf https://ruor.uottawa.ca/bitstream/10393/23946/3/Alsulaiman_Fawaz_Abdulaziz_A_2013_thesis.pdf
https___www.bac-lac.gc.ca_eng_services_theses_Pages_item.aspx_idNumber_1033202147 https://www.bac-lac.gc.ca/eng/services/theses/Pages/item.aspx?idNumber=1033202147
https___ruor.uottawa.ca_handle_10393_23946 https://ruor.uottawa.ca/handle/10393/23946
Altamiranda:2011:ieeeLAT Similarity of Amyloid Protein Motif using an Hybrid Intelligent System
JuniorAmilcarAltamirandaPerez.html
JoseLisandroAguilarCastro.html
ChristianDelamarche.html
http___dx.doi.org_10.1109_TLA.2011.6030978 http://dx.doi.org/10.1109/TLA.2011.6030978
Altamiranda:2013:CLEI Comparison and fusion model in protein motifs
JuniorAmilcarAltamirandaPerez.html
JoseLisandroAguilarCastro.html
ChristianDelamarche.html
http___dx.doi.org_10.1109_CLEI.2013.6670618 http://dx.doi.org/10.1109/CLEI.2013.6670618
kinnear:altenberg The Evolution of Evolvability in Genetic Programming
LeeAltenberg.html
http___dynamics.org__altenber_PAPERS_EEGP_ http://dynamics.org/~altenber/PAPERS/EEGP/
http___dynamics.org_Altenberg_FILES_LeeEEGP.pdf http://dynamics.org/Altenberg/FILES/LeeEEGP.pdf
http___www.amazon.co.uk_Advances-Genetic-Programming-Complex-Adaptive_dp_0262111888 http://www.amazon.co.uk/Advances-Genetic-Programming-Complex-Adaptive/dp/0262111888
http___cognet.mit.edu_sites_default_files_books_9780262277181_pdfs_9780262277181_chap3.pdf http://cognet.mit.edu/sites/default/files/books/9780262277181/pdfs/9780262277181_chap3.pdf
http___dx.doi.org_10.7551_mitpress_1108.003.0009 http://dx.doi.org/10.7551/mitpress/1108.003.0009
Altenberg:1994EBR Evolving better representations through selective genome growth
LeeAltenberg.html
http___dynamics.org__altenber_PAPERS_EBR_ http://dynamics.org/~altenber/PAPERS/EBR/
http___dynamics.org_Altenberg_FILES_LeeEBR.pdf http://dynamics.org/Altenberg/FILES/LeeEBR.pdf
Altenberg:1994EPIGP Emergent phenomena in genetic programming
LeeAltenberg.html
http___dynamics.org__altenber_PAPERS_EPIGP_ http://dynamics.org/~altenber/PAPERS/EPIGP/
http___dynamics.org_Altenberg_FILES_LeeEPIGP.pdf http://dynamics.org/Altenberg/FILES/LeeEPIGP.pdf
http___dynamics.org__altenber_FTP_LeeEPIGP.ps http://dynamics.org/~altenber/FTP/LeeEPIGP.ps
http___citeseer.ist.psu.edu_398393.html http://citeseer.ist.psu.edu/398393.html
Altenberg:1995STPT The Schema Theorem and Price's Theorem
LeeAltenberg.html
http___dynamics.org__altenber_PAPERS_STPT_ http://dynamics.org/~altenber/PAPERS/STPT/
http___dynamics.org_Altenberg_FILES_LeeSTPT.pdf http://dynamics.org/Altenberg/FILES/LeeSTPT.pdf
http___dx.doi.org_10.1016_B978-1-55860-356-1.50006-6 http://dx.doi.org/10.1016/B978-1-55860-356-1.50006-6
Altenberg:1995GGEGPM Genome growth and the evolution of the genotype-phenotype map
LeeAltenberg.html
http___dynamics.org__altenber_PAPERS_GGEGPM_ http://dynamics.org/~altenber/PAPERS/GGEGPM/
http___dynamics.org_Altenberg_FILES_LeeGGEGPM.pdf http://dynamics.org/Altenberg/FILES/LeeGGEGPM.pdf
https___rdcu.be_cUkY7 https://rdcu.be/cUkY7
http___dx.doi.org_10.1007_3-540-59046-3_11 http://dx.doi.org/10.1007/3-540-59046-3_11
Altenberg:2004:MESLLQ Modularity in Evolution: Some Low-Level Questions
LeeAltenberg.html
http___dynamics.org_Altenberg_FILES_LeeMESLLQ.pdf http://dynamics.org/Altenberg/FILES/LeeMESLLQ.pdf
Altenberg:2004:OPSAED Open Problems in the Spectral Analysis of Evolutionary Dynamics
LeeAltenberg.html
http___dynamics.org_Altenberg_FILES_LeeOPSAED.pdf http://dynamics.org/Altenberg/FILES/LeeOPSAED.pdf
http___dx.doi.org_10.1007_1-4020-7782-3_4 http://dx.doi.org/10.1007/1-4020-7782-3_4
Altenberg:2014:GPEM Mathematics awaits: commentary on ''Genetic Programming and Emergence'' by Wolfgang Banzhaf
LeeAltenberg.html
http___dx.doi.org_10.1007_s10710-013-9198-5 http://dx.doi.org/10.1007/s10710-013-9198-5
Altenberg:2014:GPEMb Evolvability and robustness in artificial evolving systems: three perturbations
LeeAltenberg.html
http___dx.doi.org_10.1007_s10710-014-9223-3 http://dx.doi.org/10.1007/s10710-014-9223-3
Altenberg:2016:EC Evolutionary Computation
LeeAltenberg.html
https___www.sciencedirect.com_science_article_pii_B9780128000496003073 https://www.sciencedirect.com/science/article/pii/B9780128000496003073
http___dx.doi.org_10.1016_B978-0-12-800049-6.00307-3 http://dx.doi.org/10.1016/B978-0-12-800049-6.00307-3
Altenberg:2017:GPEM Probing the axioms of evolutionary algorithm design: Commentary on ``On the mapping of genotype to phenotype in evolutionary algorithms'' by Peter A. Whigham, Grant Dick, and James Maclaurin
LeeAltenberg.html
http___dx.doi.org_10.1007_s10710-017-9290-3 http://dx.doi.org/10.1007/s10710-017-9290-3
Althoefer:2010:ICGA Automatic Generation and Evaluation of Recombination Games. Doctoral Dissertation by Cameron Browne, Review
IngoAlthoefer.html
https___chessprogramming.wikispaces.com_ICGA_Journal https://chessprogramming.wikispaces.com/ICGA+Journal
ALTHOEY:2023:cscm Prediction models for marshall mix parameters using bio-inspired genetic programming and deep machine learning approaches: A comparative study
FadiAlthoey.html
MuhammadNaveedAkhter.html
ZohaibSattarNagra.html
HamadHassanAwan.html
FayezAlanazi.html
MohsinAliKhan.html
MuhammadFaisalJaved.html
SayedMEldin.html
YasinOnuralpOzkilic.html
http___dx.doi.org_10.1016_j.cscm.2022.e01774 http://dx.doi.org/10.1016/j.cscm.2022.e01774
https___www.sciencedirect.com_science_article_pii_S2214509522009068 https://www.sciencedirect.com/science/article/pii/S2214509522009068
Altomare:2013:JoH Evolutionary data-modelling of an innovative low reflective vertical quay
CorradoAltomare.html
FrancescXavierGironellaiCobos.html
DanieleBLaucelli.html
https___iwaponline.com_jh_article-pdf_15_3_763_387059_763.pdf https://iwaponline.com/jh/article-pdf/15/3/763/387059/763.pdf
http___dx.doi.org_10.2166_hydro.2012.219 http://dx.doi.org/10.2166/hydro.2012.219
altomare:2020:JMSE Determination of Semi-Empirical Models for Mean Wave Overtopping Using an Evolutionary Polynomial Paradigm
CorradoAltomare.html
DanieleBLaucelli.html
HajimeMase.html
XaviGironella.html
https___www.mdpi.com_2077-1312_8_8_570 https://www.mdpi.com/2077-1312/8/8/570
http___dx.doi.org_10.3390_jmse8080570 http://dx.doi.org/10.3390/jmse8080570
Aluko:2014:CIFEr Combining different meta-heuristics to improve the predictability of a Financial Forecasting algorithm
BabatundeAluko.html
DafniSmonou.html
MichaelKampouridis.html
EdwardPKTsang.html
http___dx.doi.org_10.1109_CIFEr.2014.6924092 http://dx.doi.org/10.1109/CIFEr.2014.6924092
alvarado-iniesta:JoIM Multi-objective optimization of an engine mount design by means of memetic genetic programming and a local exploration approach
AlejandroAlvarado-Iniesta.html
LuisGonzaloGuillen-Anaya.html
LuisAlbertoRodriguez-Picon.html
RaulNeco-Caberta.html
http___link.springer.com_article_10.1007_s10845-018-1432-9 http://link.springer.com/article/10.1007/s10845-018-1432-9
http___dx.doi.org_10.1007_s10845-018-1432-9 http://dx.doi.org/10.1007/s10845-018-1432-9
alvarado-iniesta:2017:IJAMT Multi-objective optimization of an aluminum torch brazing process by means of genetic programming and R-NSGA-II
AlejandroAlvarado-Iniesta.html
DiegoATlapa-Mendoza.html
JorgeLimon-Romero.html
LuisCMendez-Gonzalez.html
http___link.springer.com_article_10.1007_s00170-017-0102-y http://link.springer.com/article/10.1007/s00170-017-0102-y
http___dx.doi.org_10.1007_s00170-017-0102-y http://dx.doi.org/10.1007/s00170-017-0102-y
Alvarez:2007:JMS Forecasting front displacements with a satellite based ocean forecasting (SOFT) system
AlbertoAlvarezDiaz.html
AlejandroOrfila.html
GBasterretxea.html
JoaquinTintoreSubirana.html
GVizoso.html
AFornes.html
http___dx.doi.org_10.1016_j.jmarsys.2005.11.017 http://dx.doi.org/10.1016/j.jmarsys.2005.11.017
Alvarez:2016:GECCO Human-inspired Scaling in Learning Classifier Systems: Case Study on the n-bit Multiplexer Problem Set
IsidroMAlvarez.html
WillNBrowne.html
MengjieZhang.html
http___dx.doi.org_10.1145_2908812.2908813 http://dx.doi.org/10.1145/2908812.2908813
alvarez:1998: Application of Genetic Programming to the Choice of a Structure of Global Approximations
LuisFAlvarez.html
VassiliVToropov.html
oai:CiteSeerPSU:512359 Approximation model building using genetic programming methodology: applications
LuisFAlvarez.html
VassiliVToropov.html
DavidCHughes.html
AFAshour.html
http___www-tm.wbmt.tudelft.nl__wbtmavk_2aro_conf_Toropov_Fred4.pdf http://www-tm.wbmt.tudelft.nl/~wbtmavk/2aro_conf/Toropov/Fred4.pdf
http___www-tm.wbmt.tudelft.nl__wbtmavk_2aro_conf_Toropov_FRED4.PS http://www-tm.wbmt.tudelft.nl/~wbtmavk/2aro_conf/Toropov/FRED4.PS
http___citeseer.ist.psu.edu_512359.html http://citeseer.ist.psu.edu/512359.html
Alvarez:thesis Design Optimization based on Genetic Programming
LuisFAlvarez.html
http___www.brad.ac.uk_staff_vtoropov_burgeon_thesis_luis_abstract.pdf http://www.brad.ac.uk/staff/vtoropov/burgeon/thesis_luis/abstract.pdf
http___www.brad.ac.uk_staff_vtoropov_burgeon_thesis_luis_contents.pdf http://www.brad.ac.uk/staff/vtoropov/burgeon/thesis_luis/contents.pdf
http___www.brad.ac.uk_staff_vtoropov_burgeon_thesis_luis_chapter1.pdf http://www.brad.ac.uk/staff/vtoropov/burgeon/thesis_luis/chapter1.pdf
http___www.brad.ac.uk_staff_vtoropov_burgeon_thesis_luis_chapter2.pdf http://www.brad.ac.uk/staff/vtoropov/burgeon/thesis_luis/chapter2.pdf
http___www.brad.ac.uk_staff_vtoropov_burgeon_thesis_luis_chapter3.pdf http://www.brad.ac.uk/staff/vtoropov/burgeon/thesis_luis/chapter3.pdf
http___www.brad.ac.uk_staff_vtoropov_burgeon_thesis_luis_chapter4.pdf http://www.brad.ac.uk/staff/vtoropov/burgeon/thesis_luis/chapter4.pdf
http___www.brad.ac.uk_staff_vtoropov_burgeon_thesis_luis_chapter5.pdf http://www.brad.ac.uk/staff/vtoropov/burgeon/thesis_luis/chapter5.pdf
http___www.brad.ac.uk_staff_vtoropov_burgeon_thesis_luis_chapter7.pdf http://www.brad.ac.uk/staff/vtoropov/burgeon/thesis_luis/chapter7.pdf
http___www.brad.ac.uk_staff_vtoropov_burgeon_thesis_luis_references.pdf http://www.brad.ac.uk/staff/vtoropov/burgeon/thesis_luis/references.pdf
http___www.brad.ac.uk_staff_vtoropov_burgeon_thesis_luis_appendixA.pdf http://www.brad.ac.uk/staff/vtoropov/burgeon/thesis_luis/appendixA.pdf
http___www.brad.ac.uk_staff_vtoropov_burgeon_thesis_luis_appendixB.pdf http://www.brad.ac.uk/staff/vtoropov/burgeon/thesis_luis/appendixB.pdf
Alvarez-Diaz:2003:ael Forecasting exchange rates using genetic algorithms
MarcosAlvarez-Diaz.html
AlbertoAlvarezDiaz.html
http___dx.doi.org_10.1080_13504850210158250 http://dx.doi.org/10.1080/13504850210158250
Alvarez-Diaz:2005:EE Genetic multi-model composite forecast for non-linear prediction of exchange rates
MarcosAlvarez-Diaz.html
AlbertoAlvarezDiaz.html
http___dx.doi.org_10.1007_s00181-005-0249-5 http://dx.doi.org/10.1007/s00181-005-0249-5
Alvarez-Diaz:2006:jbe Using Genetic Algorithms to Estimate and Validate Bioeconomic Models: The Case of the Ibero-atlantic Sardine Fishery
MarcosAlvarez-Diaz.html
MarcosDominquez-Torreiro.html
http___dx.doi.org_10.1007_s10818-005-0494-x http://dx.doi.org/10.1007/s10818-005-0494-x
Marcos_Alvarez-Diaz:thesis Exchange rates forecasting using nonparametric methods
MarcosAlvarez-Diaz.html
http___search.proquest.com_docview_305345652 http://search.proquest.com/docview/305345652
AlvarezDiaz2008161 The quality of institutions: A genetic programming approach
MarcosAlvarez-Diaz.html
GonzaloCaballeroMiguez.html
http___dx.doi.org_10.1016_j.econmod.2007.05.001 http://dx.doi.org/10.1016/j.econmod.2007.05.001
http___www.sciencedirect.com_science_article_B6VB1-4P0VD80-1_2_c0bb8da3af64aa1ea6b0a4f90e4790b0 http://www.sciencedirect.com/science/article/B6VB1-4P0VD80-1/2/c0bb8da3af64aa1ea6b0a4f90e4790b0
Alvarez-Diaz:funcas401 The institutional determinants of CO2 emissions: A computational modelling approach using Artificial Neural Networks and Genetic Programming
MarcosAlvarez-Diaz.html
GonzaloCaballeroMiguez.html
MarioSolino.html
https___dialnet.unirioja.es_ejemplar_212749 https://dialnet.unirioja.es/ejemplar/212749
Alvarez-Diaz:2009:IJCEE Forecasting tourist arrivals to Balearic Islands using genetic programming
MarcosAlvarez-Diaz.html
JosepMateu-Sbert.html
JaumeRossello-Nadal.html
http___www.inderscience.com_link.php_id_29153 http://www.inderscience.com/link.php?id=29153
http___dx.doi.org_10.1504_IJCEE.2009.029153 http://dx.doi.org/10.1504/IJCEE.2009.029153
AlvarezDiaz2009 On dichotomous choice contingent valuation data analysis: Semiparametric methods and Genetic Programming
MarcosAlvarez-Diaz.html
ManuelGonzalezGomez.html
MariaAngelesSaavedraGonzalez.html
JacoboDeUnaAlvarez.html
http___dx.doi.org_10.1016_j.jfe.2009.02.002 http://dx.doi.org/10.1016/j.jfe.2009.02.002
Alvarez-Diaz:2010:AEL Forecasting exchange rates using local regression
MarcosAlvarez-Diaz.html
AlbertoAlvarezDiaz.html
http___hdl.handle.net_10261_54902 http://hdl.handle.net/10261/54902
https___ideas.repec.org_a_taf_apeclt_v17y2010i5p509-514.html https://ideas.repec.org/a/taf/apeclt/v17y2010i5p509-514.html
http___dx.doi.org_10.1080_13504850801987217 http://dx.doi.org/10.1080/13504850801987217
Alvarez-Diaz:2010:AFE Speculative strategies in the foreign exchange market based on genetic programming predictions
MarcosAlvarez-Diaz.html
http___dx.doi.org_10.1080_09603100903459782 http://dx.doi.org/10.1080/09603100903459782
Alvarez-Diaz:2011:EM The institutional determinants of CO2 emissions: a computational modeling approach using Artificial Neural Networks and Genetic Programming
MarcosAlvarez-Diaz.html
GonzaloCaballeroMiguez.html
MarioSolino.html
https___doi.org_10.1002_env.1025 https://doi.org/10.1002/env.1025
https___onlinelibrary.wiley.com_doi_abs_10.1002_env.1025 https://onlinelibrary.wiley.com/doi/abs/10.1002/env.1025
https___onlinelibrary.wiley.com_doi_pdf_10.1002_env.1025 https://onlinelibrary.wiley.com/doi/pdf/10.1002/env.1025
http___dx.doi.org_10.1002_env.1025 http://dx.doi.org/10.1002/env.1025
Alvarez-Diaz:2019:Forecasting Forecasting International Tourism Demand Using a Non-Linear Autoregressive Neural Network and Genetic Programming
MarcosAlvarez-Diaz.html
ManuelGonzalezGomez.html
MariaSoledadOtero-Giraldez.html
https___www.mdpi.com_2571-9394_1_1_7_ https://www.mdpi.com/2571-9394/1/1/7/
https___www.mdpi.com_2571-9394_1_1_7.pdf https://www.mdpi.com/2571-9394/1/1/7.pdf
http___dx.doi.org_10.3390_forecast1010007 http://dx.doi.org/10.3390/forecast1010007
Alvarez-Diaz:2020:EE Is it possible to accurately forecast the evolution of Brent crude oil prices? An answer based on parametric and nonparametric forecasting methods
MarcosAlvarez-Diaz.html
http___dx.doi.org_10.1007_s00181-019-01665-w http://dx.doi.org/10.1007/s00181-019-01665-w
journals/corr/abs-2005-07669 Optimizing Neural Architecture Search using Limited GPU Time in a Dynamic Search Space: A Gene Expression Programming Approach
JeovaneHonorioAlves.html
LucasFerrarideOliveira.html
https___arxiv.org_abs_2005.07669 https://arxiv.org/abs/2005.07669
ALVISO:2020:Fuel Prediction of biodiesel physico-chemical properties from its fatty acid composition using genetic programming
DarioAlviso.html
GuillermoArtana.html
ThomasDuriez.html
http___dx.doi.org_10.1016_j.fuel.2019.116844 http://dx.doi.org/10.1016/j.fuel.2019.116844
http___www.sciencedirect.com_science_article_pii_S0016236119321982 http://www.sciencedirect.com/science/article/pii/S0016236119321982
ALVISO:2021:JFCA Regressions of the dielectric constant and speed of sound of vegetable oils from their composition and temperature using genetic programming
DarioAlviso.html
CristhianZarate.html
GuillermoArtana.html
ThomasDuriez.html
http___dx.doi.org_10.1016_j.jfca.2021.104175 http://dx.doi.org/10.1016/j.jfca.2021.104175
https___www.sciencedirect.com_science_article_pii_S0889157521003756 https://www.sciencedirect.com/science/article/pii/S0889157521003756
ALVISO:2021:Fuel Modeling of vegetable oils cloud point, pour point, cetane number and iodine number from their composition using genetic programming
DarioAlviso.html
CristhianZarate.html
ThomasDuriez.html
http___dx.doi.org_10.1016_j.fuel.2020.119026 http://dx.doi.org/10.1016/j.fuel.2020.119026
https___www.sciencedirect.com_science_article_pii_S0016236120320226 https://www.sciencedirect.com/science/article/pii/S0016236120320226
Alweshah:2015:IJCA Evolution of Software Reliability Growth Models: A Comparison of Auto-Regression and Genetic Programming Models
MohammedAlweshah.html
WalidAhmed.html
HamzaAldabbas.html
https___www.ijcaonline.org_archives_volume125_number3_22413-2015905864 https://www.ijcaonline.org/archives/volume125/number3/22413-2015905864
https___www.ijcaonline.org_research_volume125_number3_alweshah-2015-ijca-905864.pdf https://www.ijcaonline.org/research/volume125/number3/alweshah-2015-ijca-905864.pdf
http___dx.doi.org_10.5120_ijca2015905864 http://dx.doi.org/10.5120/ijca2015905864
DBLP:conf/ijcci/AlyasiriCK18 Applying Cartesian Genetic Programming to Evolve Rules for Intrusion Detection System
HasanenMurtadhaAlyasiri.html
JohnAClark.html
DanielKudenko.html
https___www.scitepress.org_Papers_2018_69259_69259.pdf https://www.scitepress.org/Papers/2018/69259/69259.pdf
https___doi.org_10.5220_0006925901760183 https://doi.org/10.5220/0006925901760183
http___dx.doi.org_10.5220_0006925901760183 http://dx.doi.org/10.5220/0006925901760183
https___dblp.org_rec_conf_ijcci_AlyasiriCK18.bib https://dblp.org/rec/conf/ijcci/AlyasiriCK18.bib
Hasanen_Thesis_2018 Developing Efficient and Effective Intrusion Detection System using Evolutionary Computation
HasanenMurtadhaAlyasiri.html
http___etheses.whiterose.ac.uk_id_eprint_23699 http://etheses.whiterose.ac.uk/id/eprint/23699
http___etheses.whiterose.ac.uk_23699_1_Hasanen_Thesis_2018.pdf http://etheses.whiterose.ac.uk/23699/1/Hasanen_Thesis_2018.pdf
alyasiri2020evolving Evolving Rules for Detecting Cross-Site Scripting Attacks Using Genetic Programming
HasanenMurtadhaAlyasiri.html
https___dblp.org_rec_conf_aces_Alyasiri20.bib https://dblp.org/rec/conf/aces/Alyasiri20.bib
https___link.springer.com_chapter_10.1007_978-981-33-6835-4_42 https://link.springer.com/chapter/10.1007/978-981-33-6835-4_42
http___dx.doi.org_10.1007_978-981-33-6835-4_42 http://dx.doi.org/10.1007/978-981-33-6835-4_42
alyasiri2021grammatical Grammatical Evolution for Detecting Cyberattacks in Internet of Things Environments
HasanenMurtadhaAlyasiri.html
JohnAClark.html
AliMalik.html
RuairideFrein.html
https___ieeexplore.ieee.org_abstract_document_9522283 https://ieeexplore.ieee.org/abstract/document/9522283
http___dx.doi.org_10.1109_ICCCN52240.2021.9522283 http://dx.doi.org/10.1109/ICCCN52240.2021.9522283
Amar:2020:jNGSE Modeling viscosity of CO2 at high temperature and pressure conditions
MenadNaitAmar.html
MohammedAbdelfetahGhriga.html
HocineOuaer.html
MohamedElAmineBenSeghier.html
BinhThaiPham.html
PalOsteboAndersen.html
https___hal.archives-ouvertes.fr_hal-02534736 https://hal.archives-ouvertes.fr/hal-02534736
http___dx.doi.org_10.1016_j.jngse.2020.103271 http://dx.doi.org/10.1016/j.jngse.2020.103271
Amar:2019:ChemSci Machine learning and molecular descriptors enable rational solvent selection in asymmetric catalysis
YehiaAmar.html
ArturMSchweidtmann.html
PaulDeutsch.html
LiweiCao.html
AlexeiALapkin.html
https___pubs.rsc.org_en_content_articlepdf_2019_sc_c9sc01844a https://pubs.rsc.org/en/content/articlepdf/2019/sc/c9sc01844a
http___dx.doi.org_10.1039_C9SC01844A http://dx.doi.org/10.1039/C9SC01844A
amaral:2022:GECCOcomp Benchmarking Genetic Programming in a Multi-action Reinforcement Learning Locomotion Task
RyanAmaral.html
AlexandruIanta.html
CaleidghBayer.html
RobertJSmith.html
MalcolmHeywood.html
http___dx.doi.org_10.1145_3520304.3528766 http://dx.doi.org/10.1145/3520304.3528766
amarteifio:2004:AL An Evolutionary Approach to Complex System Regulation Using Grammatical Evolution
SaoirseAmarteifio.html
MichaelO'Neill.html
http___ncra.ucd.ie_papers_alife2004.pdf http://ncra.ucd.ie/papers/alife2004.pdf
http___ieeexplore.ieee.org_xpl_articleDetails.jsp_tp__arnumber_6278781 http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6278781
http___dx.doi.org_10.7551_mitpress_1429.003.0093 http://dx.doi.org/10.7551/mitpress/1429.003.0093
amarteifio:2005:CEC Coevolving Antibodies with a Rich Representation of Grammatical Evolution
SaoirseAmarteifio.html
MichaelO'Neill.html
http___dx.doi.org_10.1109_CEC.2005.1554779 http://dx.doi.org/10.1109/CEC.2005.1554779
amarteifio:2005:IAGPMWRRIX Interpreting a Genotype-Phenotype Map with Rich Representations in XMLGE
SaoirseAmarteifio.html
http___ncra.ucd.ie_downloads_pub_SaoirseMScThesis.pdf http://ncra.ucd.ie/downloads/pub/SaoirseMScThesis.pdf
Amber:2015:EB Electricity consumption forecasting models for administration buildings of the UK higher education sector
KPAmber.html
MuhammadWaqarAslam.html
SKHussain.html
http___dx.doi.org_10.1016_j.enbuild.2015.01.008 http://dx.doi.org/10.1016/j.enbuild.2015.01.008
http___www.sciencedirect.com_science_article_pii_S0378778815000110 http://www.sciencedirect.com/science/article/pii/S0378778815000110
AMBER:2018:Energy Intelligent techniques for forecasting electricity consumption of buildings
KPAmber.html
RAhmad.html
MuhammadWaqarAslam.html
AKousar.html
MUsman.html
MuhammadSalmanKhan.html
http___dx.doi.org_10.1016_j.energy.2018.05.155 http://dx.doi.org/10.1016/j.energy.2018.05.155
http___www.sciencedirect.com_science_article_pii_S036054421830999X http://www.sciencedirect.com/science/article/pii/S036054421830999X
amblard:2023:GGP GPStar4: A Flexible Framework for Experimenting with Genetic Programming
JulienAmblard.html
RobertFilman.html
GabrielKopito.html
http___dx.doi.org_10.1145_3583133.3596369 http://dx.doi.org/10.1145/3583133.3596369
AMERYAN:2020:CS Investigation of shear strength correlations and reliability assessments of sandwich structures by kriging method
AlaAmeryan.html
MansourGhalehnovi.html
MohsenRashki.html
http___dx.doi.org_10.1016_j.compstruct.2020.112782 http://dx.doi.org/10.1016/j.compstruct.2020.112782
http___www.sciencedirect.com_science_article_pii_S0263822320327082 http://www.sciencedirect.com/science/article/pii/S0263822320327082
amin:2022:Polymers Investigating the Bond Strength of FRP Rebars in Concrete under High Temperature Using Gene-Expression Programming Model
MuhammadNasirAmin.html
MudassirIqbal.html
FadiAlthoey.html
KaffayatullahKhan.html
MuhammadIftikharFaraz.html
MuhammadGhulamQadir.html
AnasAbdulalimAlabdullah.html
AliAjwad.html
https___www.mdpi.com_2073-4360_14_15_2992 https://www.mdpi.com/2073-4360/14/15/2992
http___dx.doi.org_10.3390_polym14152992 http://dx.doi.org/10.3390/polym14152992
amin:2022:Materials Prediction of Rapid Chloride Penetration Resistance to Assess the Influence of Affecting Variables on Metakaolin-Based Concrete Using Gene Expression Programming
MuhammadNasirAmin.html
MuhammadRaheel.html
MudassirIqbal.html
KaffayatullahKhan.html
MuhammadGhulamQadir.html
FazalEJalal.html
AnasAbdulalimAlabdullah.html
AliAjwad.html
MajdiAdelAl-Faiad.html
AbdullahMohammadAbu-Arab.html
https___www.mdpi.com_1996-1944_15_19_6959 https://www.mdpi.com/1996-1944/15/19/6959
http___dx.doi.org_10.3390_ma15196959 http://dx.doi.org/10.3390/ma15196959
DBLP:journals/apin/AminiAH20 Rule-centred genetic programming (RCGP): an imperialist competitive approach
SeyedMohammadHosseinHosseiniAmini.html
MohammadAbdollahi.html
MaryamAmirHaeri.html
https___doi.org_10.1007_s10489-019-01601-6 https://doi.org/10.1007/s10489-019-01601-6
http___dx.doi.org_10.1007_s10489-019-01601-6 http://dx.doi.org/10.1007/s10489-019-01601-6
https___dblp.org_rec_journals_apin_AminiAH20.bib https://dblp.org/rec/journals/apin/AminiAH20.bib
journals/nca/AminianJAGE11 A robust predictive model for base shear of steel frame structures using a hybrid genetic programming and simulated annealing method
PejmanAminian.html
MohamadRezaJavid.html
AbazarAsghari.html
AHGandomi.html
MiladArabEsmaeili.html
http___dx.doi.org_10.1007_s00521-011-0689-0 http://dx.doi.org/10.1007/s00521-011-0689-0
Aminian:2013:NCA New design equations for assessment of load carrying capacity of castellated steel beams: a machine learning approach
PejmanAminian.html
HadiNiroomand.html
AHGandomi.html
AHAlavi.html
MiladArabEsmaeili.html
http___link.springer.com_article_10.1007_2Fs00521-012-1138-4 http://link.springer.com/article/10.1007%2Fs00521-012-1138-4
http___dx.doi.org_10.1007_s00521-012-1138-4 http://dx.doi.org/10.1007/s00521-012-1138-4
AmirHaeri:wsc17 Statistical Genetic Programming: The Role of Diversity
MaryamAmirHaeri.html
MohammadMehdiEbadzadeh.html
GianluigiFolino.html
http___dx.doi.org_10.1007_978-3-319-00930-8_4 http://dx.doi.org/10.1007/978-3-319-00930-8_4
http___dx.doi.org_10.1007_978-3-319-00930-8_4 http://dx.doi.org/10.1007/978-3-319-00930-8_4
AmirHaeri:2014:GPEM Improving GP generalization: a variance-based layered learning approach
MaryamAmirHaeri.html
MohammadMehdiEbadzadeh.html
GianluigiFolino.html
http___dx.doi.org_10.1007_s10710-014-9220-6 http://dx.doi.org/10.1007/s10710-014-9220-6
journals/asc/HaeriEF17 Statistical genetic programming for symbolic regression
MaryamAmirHaeri.html
MohammadMehdiEbadzadeh.html
GianluigiFolino.html
http___dx.doi.org_10.1016_j.asoc.2017.06.050 http://dx.doi.org/10.1016/j.asoc.2017.06.050
journals/jifs/AmiriAT14 Ground motion prediction equations (GMPEs) for elastic response spectra in the Iranian plateau using Gene Expression Programming (GEP)
GholamrezaGhodratiAmiri.html
MohamadShamekhiAmiri.html
ZahraTabrizian.html
http___dx.doi.org_10.3233_IFS-130950 http://dx.doi.org/10.3233/IFS-130950
http___dx.doi.org_10.3233_IFS-130950 http://dx.doi.org/10.3233/IFS-130950
Amiri:2013:SI Modeling intermolecular potential of He-F2 dimer from symmetry-adapted perturbation theory using multi-gene genetic programming
MohammadAmiri.html
MehdiEftekhari.html
MaryamDehestani.html
AzitaTajaddini.html
https___core.ac.uk_download_pdf_81997689.pdf https://core.ac.uk/download/pdf/81997689.pdf
http___www.sciencedirect.com_science_article_pii_S1026309813000758 http://www.sciencedirect.com/science/article/pii/S1026309813000758
http___dx.doi.org_10.1016_j.scient.2012.12.040 http://dx.doi.org/10.1016/j.scient.2012.12.040
AMIRI:2021:CSCM Evaluating the synergic effect of waste rubber powder and recycled concrete aggregate on mechanical properties and durability of concrete
MostafaAmiri.html
FarzadHatami.html
EmadaldinMohammadiGolafshani.html
http___dx.doi.org_10.1016_j.cscm.2021.e00639 http://dx.doi.org/10.1016/j.cscm.2021.e00639
https___www.sciencedirect.com_science_article_pii_S2214509521001546 https://www.sciencedirect.com/science/article/pii/S2214509521001546
Ammar:2016:Neurocomputing Multi-agent architecture for Multiaobjective optimization of Flexible Neural Tree
MarwaAmmar.html
SouhirBouaziz.html
AdelMAlimi.html
AjithAbraham.html
http___dx.doi.org_10.1016_j.neucom.2016.06.019 http://dx.doi.org/10.1016/j.neucom.2016.06.019
http___www.sciencedirect.com_science_article_pii_S0925231216306579 http://www.sciencedirect.com/science/article/pii/S0925231216306579
Amte:2015:ICESA Automatic generation of Lyapunov function using Genetic programming approach
AYAmte.html
PSKate.html
http___dx.doi.org_10.1109_ICESA.2015.7503454 http://dx.doi.org/10.1109/ICESA.2015.7503454
An2017aa PyGGI: Python General framework for Genetic Improvement
GabinAn.html
JinhanKim.html
SeongminLee.html
ShinYoo.html
https___coinse.kaist.ac.kr_publications_pdfs_An2017aa.pdf https://coinse.kaist.ac.kr/publications/pdfs/An2017aa.pdf
http___www.dbpia.co.kr_journal_articleDetail_nodeId_NODE07322214_language_en_EN http://www.dbpia.co.kr/journal/articleDetail?nodeId=NODE07322214&language=en_EN
https___github.com_coinse_pyggi https://github.com/coinse/pyggi
An:2018:GI Comparing Line and AST Granularity Level for Program Repair using PyGGI
GabinAn.html
JinhanKim.html
ShinYoo.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_icse2018_gi2018_papers_An_2018_GI.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/icse2018/gi2018/papers/An_2018_GI.pdf
https___coinse.kaist.ac.kr_publications_pdfs_An2018to.pdf https://coinse.kaist.ac.kr/publications/pdfs/An2018to.pdf
http___dx.doi.org_10.1145_3194810.3194814 http://dx.doi.org/10.1145/3194810.3194814
An:2018:sigevolution Genetic Improvement Workshop at ICSE 2018
GabinAn.html
http___www.sigevolution.org_issues_SIGEVOlution1104.pdf http://www.sigevolution.org/issues/SIGEVOlution1104.pdf
http___dx.doi.org_10.1145_3302542.3302544 http://dx.doi.org/10.1145/3302542.3302544
an:2019:fse PyGGI 2.0: Language Independent Genetic Improvement Framework
GabinAn.html
AymericBlot.html
JustynaPetke.html
ShinYoo.html
http___www.cs.ucl.ac.uk_staff_a.blot_files_an_2019_fse.pdf http://www.cs.ucl.ac.uk/staff/a.blot/files/an_2019_fse.pdf
https___esec-fse19.ut.ee_program_tool-demos_ https://esec-fse19.ut.ee/program/tool-demos/
http___dx.doi.org_10.1145_3338906.3341184 http://dx.doi.org/10.1145/3338906.3341184
https___youtu.be_PxRUdlRDS40 https://youtu.be/PxRUdlRDS40
https___github.com_coinse_pyggi https://github.com/coinse/pyggi
an:2024:GI 13th International Workshop on Genetic Improvement @ICSE 2024
GabinAn.html
AymericBlot.html
VesnaNowack.html
OliverKrauss.html
JustynaPetke.html
http___geneticimprovementofsoftware.com_events_icse2024 http://geneticimprovementofsoftware.com/events/icse2024
http___gpbib.cs.ucl.ac.uk_gi2024_an_2024_GI.pdf http://gpbib.cs.ucl.ac.uk/gi2024/an_2024_GI.pdf
Anand:2010:ICCSIT Adaptive user similarity measures for recommender systems: A genetic programming approach
DeepaAnand.html
KKBharadwaj.html
http___dx.doi.org_10.1109_ICCSIT.2010.5563737 http://dx.doi.org/10.1109/ICCSIT.2010.5563737
Anand:thesis Enhancing Accuracy of Recommender Systems through various approaches to Local and Global Similarity Measures
DeepaAnand.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_Anand_thesis.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/Anand_thesis.pdf
Anand:2012:IJCSI Feature Extraction for Collaborative Filtering: A Genetic Programming Approach
DeepaAnand.html
http___www.ijcsi.org_contents.php_volume_9__issue_5 http://www.ijcsi.org/contents.php?volume=9&&issue=5
http___www.ijcsi.org_papers_IJCSI-9-5-1-348-354.pdf http://www.ijcsi.org/papers/IJCSI-9-5-1-348-354.pdf
ANASTASOPOULOS:2021:SoftwareX GenClass: A parallel tool for data classification based on Grammatical Evolution
NikolaosAnastasopoulos.html
IoannisGTsoulos.html
AlexandrosTTzallas.html
http___dx.doi.org_10.1016_j.softx.2021.100830 http://dx.doi.org/10.1016/j.softx.2021.100830
https___www.sciencedirect.com_science_article_pii_S2352711021001199 https://www.sciencedirect.com/science/article/pii/S2352711021001199
DBLP:journals/corr/abs-2012-03527 Estimation of Gas Turbine Shaft Torque and Fuel Flow of a CODLAG Propulsion System Using Genetic Programming Algorithm
NikolaAndelic.html
SandiBaressiSegota.html
IvanLorencin.html
ZlatanCar.html
https___arxiv.org_abs_2012.03527 https://arxiv.org/abs/2012.03527
https___dblp.org_rec_journals_corr_abs-2012-03527.bib https://dblp.org/rec/journals/corr/abs-2012-03527.bib
DBLP:journals/hij/AndelicSLMC21 Estimation of COVID-19 epidemic curves using genetic programming algorithm
NikolaAndelic.html
SandiBaressiSegota.html
IvanLorencin.html
VedranMrzljak.html
ZlatanCar.html
https___doi.org_10.1177_1460458220976728 https://doi.org/10.1177/1460458220976728
http___dx.doi.org_10.1177_1460458220976728 http://dx.doi.org/10.1177/1460458220976728
https___dblp.org_rec_journals_hij_AndelicSLMC21.bib https://dblp.org/rec/journals/hij/AndelicSLMC21.bib
andelic:2021:IJERPH Estimation of COVID-19 Epidemiology Curve of the United States Using Genetic Programming Algorithm
NikolaAndelic.html
SandiBaressiSegota.html
IvanLorencin.html
ZdravkoJurilj.html
TijanaSustersic.html
AndelaBlagojevic.html
AlenProtic.html
TomislavCabov.html
NenadFilipovic.html
ZlatanCar.html
https___www.mdpi.com_1660-4601_18_3_959 https://www.mdpi.com/1660-4601/18/3/959
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https___doi.org_10.7717_peerj-cs.244 https://doi.org/10.7717/peerj-cs.244
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https___dblp.org_rec_journals_peerj-cs_AndersI19.bib https://dblp.org/rec/journals/peerj-cs/AndersI19.bib
DBLP:journals/peerjpre/AndersI19 Machine learning of symbolic compositional rules with genetic programming: Dissonance treatment in Palestrina
TorstenAnders.html
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https___doi.org_10.7287_peerj.preprints.27731v1 https://doi.org/10.7287/peerj.preprints.27731v1
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https___dblp.org_rec_journals_peerjpre_AndersI19.bib https://dblp.org/rec/journals/peerjpre/AndersI19.bib
Andersen:2021:CEC Genetic Programming for Evolving Similarity Functions Tailored to Clustering Algorithms
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BingXue.html
http___dx.doi.org_10.1109_CEC45853.2021.9504855 http://dx.doi.org/10.1109/CEC45853.2021.9504855
Anderson:2022:GI Towards evolution-based autonomy in large-scale systems
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YusakuKaneta.html
PetrosPapadopoulos.html
PhilipRodgers.html
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http___www.cs.ucl.ac.uk_staff_W.Langdon_gecco2022_gi2022_papers_Anderson_2022_GI.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/gecco2022/gi2022/papers/Anderson_2022_GI.pdf
http___dx.doi.org_10.1145_3520304.3533975 http://dx.doi.org/10.1145/3520304.3533975
http___geneticimprovementofsoftware.com_slides_gi2022gecco_anderson-towards-evolutionary-based-autonomy-gi-gecco-22.pdf http://geneticimprovementofsoftware.com/slides/gi2022gecco/anderson-towards-evolutionary-based-autonomy-gi-gecco-22.pdf
https___www.youtube.com_watch_v_xpKcZRsRgrQ_list_PLI8fiFpB7BoIHgl5CsdtjfWvHlE5N6pje_index_5 https://www.youtube.com/watch?v=xpKcZRsRgrQ&list=PLI8fiFpB7BoIHgl5CsdtjfWvHlE5N6pje&index=5
anderson:ppsn2002:pp689 Off-Line Evolution of Behaviour for Autonomous Agents in Real-Time Computer Games
EikeFalkAnderson.html
http___dx.doi.org_10.1007_3-540-45712-7_66 http://dx.doi.org/10.1007/3-540-45712-7_66
anderson:1994:profile Courage in Profiling
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http___openmap.bbn.com__kanderso_performance_postscript_courage-in-profiles.ps http://openmap.bbn.com/~kanderso/performance/postscript/courage-in-profiles.ps
andersson:1999:rmbGPrc Reactive and Memory-Based Genetic Programming for Robot Control
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PerSvensson.html
PeterNordin.html
MatsGNordahl.html
http___dx.doi.org_10.1007_3-540-48885-5_13 http://dx.doi.org/10.1007/3-540-48885-5_13
andersson:2000:4lrGP On-line Evolution of Control for a Four-Legged Robot Using Genetic Programming
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PeterNordin.html
MatsGNordahl.html
http___dx.doi.org_10.1007_3-540-45561-2_31 http://dx.doi.org/10.1007/3-540-45561-2_31
Andersson:1998:ecmlc Evolving Coupled Map Lattices for Computation
ClaesAndersson.html
MatsGNordahl.html
http___dx.doi.org_10.1007_BFb0055935 http://dx.doi.org/10.1007/BFb0055935
oai:CiteSeerPSU:491253 The Rolling Stones - Genetic Programming in AIP
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http___www.ida.liu.se__silco_AIP_Rolling-Stones.ps http://www.ida.liu.se/~silco/AIP/Rolling-Stones.ps
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ando:evows07 Interactive GP with Tree Representation of Classical Music Pieces
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http___dx.doi.org_10.1007_978-3-540-71805-5_63 http://dx.doi.org/10.1007/978-3-540-71805-5_63
Ando:2007:cec Interactive Composition Aid System by Means of Tree Representation of Musical Phrase
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http___dx.doi.org_10.1109_CEC.2007.4425027 http://dx.doi.org/10.1109/CEC.2007.4425027
conf/icmc/Ando14 Real-time Breeding Composition System by means of Genetic Programming and Breeding Procedure
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http___hdl.handle.net_2027_spo.bbp2372.2014.062 http://hdl.handle.net/2027/spo.bbp2372.2014.062
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Ando:2009:ieeeSMC Image classification and processing using modified parallel-ACTIT
JunAndo.html
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http___dx.doi.org_10.1109_ICSMC.2009.5346894 http://dx.doi.org/10.1109/ICSMC.2009.5346894
ando:2002:mgnbhg Modeling Genetic Network by Hybrid GP
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http___dx.doi.org_10.1109_CEC.2002.1006249 http://dx.doi.org/10.1109/CEC.2002.1006249
ando:emi Evolutionary modeling and inference of gene network
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http___www.sciencedirect.com_science_article_B6V0C-46WWB37-3_2_963172f8c0faa12d700376b07bfc96a5 http://www.sciencedirect.com/science/article/B6V0C-46WWB37-3/2/963172f8c0faa12d700376b07bfc96a5
http___dx.doi.org_10.1016_S0020-0255_02_00235-9 http://dx.doi.org/10.1016/S0020-0255(02)00235-9
ando:2004:GPEM Classification of Gene Expression Profile Using Combinatory Method of Evolutionary Computation and Machine Learning
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http___dx.doi.org_10.1023_B_GENP.0000023685.83861.69 http://dx.doi.org/10.1023/B:GENP.0000023685.83861.69
Andrade2012CIARP Fusion of Local and Global Descriptors for Content-Based Image and Video Retrieval
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http___dx.doi.org_10.1007_978-3-642-33275-3_104 http://dx.doi.org/10.1007/978-3-642-33275-3_104
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Andrade:2020:SSCI On the Use of Predation to Shape Evolutionary Computation
FelipeSPAndrade.html
ClausdeCastroAranha.html
RicardodaSilvaTorres.html
http___dx.doi.org_10.1109_SSCI47803.2020.9308209 http://dx.doi.org/10.1109/SSCI47803.2020.9308209
andre:UGthesis Artificial Evolution of Intelligence: Lessons from natural evolution: An illustrative approach using Genetic Programming
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http___citeseerx.ist.psu.edu_viewdoc_download_doi_10.1.1.66.1367_rep_rep1_type_pdf http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.66.1367&rep=rep1&type=pdf
kinnear:andre Automatically Defined Features: The Simultaneous Evolution of 2-Dimensional Feature Detectors and an Algorithm for Using Them
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http___www.amazon.co.uk_Advances-Genetic-Programming-Complex-Adaptive_dp_0262111888 http://www.amazon.co.uk/Advances-Genetic-Programming-Complex-Adaptive/dp/0262111888
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http___dx.doi.org_10.7551_mitpress_1108.003.0029 http://dx.doi.org/10.7551/mitpress/1108.003.0029
andre:maps Evolution of Mapmaking Ability: Strategies for the evolution of learning, planning, and memory using genetic programming
DavidAndre.html
http___dx.doi.org_10.1109_ICEC.1994.350007 http://dx.doi.org/10.1109/ICEC.1994.350007
ieee94:andre Learning and Upgrading Rules for an OCR System Using Genetic Programming
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http___dx.doi.org_10.1109_ICEC.1994.349906 http://dx.doi.org/10.1109/ICEC.1994.349906
Andre:1995:ammsp The Evolution of Agents that Build Mental Models and Create Simple Plans Using Genetic Programming
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http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_Andre_1995_ammsp.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/Andre_1995_ammsp.pdf
andre:1995:parallel Parallel Genetic Programming on a Network of Transputers
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andre:1995:apalmm The Automatic Programming of Agents that Learn Mental Models and Create Simple Plans of Action
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andre:1996:GKL Evolution of Intricate Long-Distance Communication Signals in Cellular Automata using Genetic Programming
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andre:1996:aigp2 Parallel Genetic Programming: A Scalable Implementation Using The Transputer Network Architecture
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andre:1996:camc Discovery by Genetic Programming of a Cellular Automata Rule that is Better than any Known Rule for the Majority Classification Problem
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andre:1996:introns A Study in Program Response and the Negative Effects of Introns in Genetic Programming
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andre:1996:parGP A parallel implementation of genetic programming that achieves super-linear performance
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andre:1997:HEC Learning and Upgrading Rules for an Optical Character Recognition System Using Genetic Programming
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AK97 A parallel implementation of genetic programming that achieves super-linear performance
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http___www.sciencedirect.com_science_article_B6V0C-3TKS65B-21_2_22b9842f820b08883990bbae1d889c03 http://www.sciencedirect.com/science/article/B6V0C-3TKS65B-21/2/22b9842f820b08883990bbae1d889c03
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andre:1998:tdcGPmdk On the Theory of Designing Circuits using Genetic Programming and a Minimum of Domain Knowledge
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JohnKoza.html
MartinAKeane.html
http___ieeexplore.ieee.org_stamp_stamp.jsp_arnumber_00699489 http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=00699489
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Andre:1999:ETD Evolving Team Darwin United
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http___206.210.94.135_work_pdfs_Teller_Astro.pdf http://206.210.94.135/work/pdfs/Teller_Astro.pdf
Andre:2021:GPTP GP considered Dangerous
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Andreae:2008:IJKBIES Genetic Programming for detecting rhythmic stress in spoken English
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kinnear:andrews Genetic Programming for the Acquisition of Double Auction Market Strategies
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http___www.amazon.co.uk_Advances-Genetic-Programming-Complex-Adaptive_dp_0262111888 http://www.amazon.co.uk/Advances-Genetic-Programming-Complex-Adaptive/dp/0262111888
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http___dx.doi.org_10.7551_mitpress_1108.003.0022 http://dx.doi.org/10.7551/mitpress/1108.003.0022
Androutsopoulos:2019:GPEM Evelyne Lutton, Nathalie Perrot, Alberto Tonda: Evolutionary algorithms for food science and technology
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http___dx.doi.org_10.1007_s10710-018-9335-2 http://dx.doi.org/10.1007/s10710-018-9335-2
androvitsaneas_intelligent_2019 Intelligent Data Analysis in Electric Power Engineering Applications
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https___doi.org_10.1007_978-3-319-94030-4_11 https://doi.org/10.1007/978-3-319-94030-4_11
http___dx.doi.org_10.1007_978-3-319-94030-4_11 http://dx.doi.org/10.1007/978-3-319-94030-4_11
Ang:2008:cec Dimension Reduction Using Evolutionary Support Vector Machines
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EJTeoh.html
ChinHiongTan.html
KCGoh.html
KayChenTan.html
http___dx.doi.org_10.1109_CEC.2008.4631290 http://dx.doi.org/10.1109/CEC.2008.4631290
angarita-zapata:2021:Sensors A Bibliometric Analysis and Benchmark of Machine Learning and AutoML in Crash Severity Prediction: The Case Study of Three Colombian Cities
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JennyFajardoCalderin.html
http___dx.doi.org_10.3390_s21248401 http://dx.doi.org/10.3390/s21248401
angeline:dissertation Evolutionary Algorithms and Emergent Intelligence
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kinnear:angeline Genetic Programming and Emergent Intelligence
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http___www.amazon.co.uk_Advances-Genetic-Programming-Complex-Adaptive_dp_0262111888 http://www.amazon.co.uk/Advances-Genetic-Programming-Complex-Adaptive/dp/0262111888
http___dx.doi.org_10.7551_mitpress_1108.003.0009 http://dx.doi.org/10.7551/mitpress/1108.003.0009
icga93:angeline Competitive Environments Evolve Better Solutions for Complex Tasks
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Angeline:1994:GPCS Genetic programming: A current snapshot
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Angeline:1992:EIS The evolutionary induction of subroutines
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angeline:1993:ema Evolutionary Module Acquisition
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Angeline:1991:CHLR Coevolving high-level representations
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angeline:1994:BS Genetic programming: On the programming of computers by means of natural selection,John R. Koza, A Bradford Book, MIT Press, Cambridge MA, 1992, ISBN 0-262-11170-5, xiv + 819pp., US\$55.00
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angeline:1995:er Evolution Revolution: An Introduction to the Special Track on Genetic and Evolutionary Programming
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angeline:1995:mcc Morphogenic Evolutionary Computations: Introduction, Issues and Examples
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angeline:1995:asa Adaptive and Self-Adaptive Evolutionary Computations
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book:1996:aigp2 Advances in Genetic Programming 2
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intro:1996:aigp2 Genetic Programming's Continued Evolution
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angeline:1996:aigp2 Two Self-Adaptive Crossover Operators for Genetic Programming
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angeline:1996:leaf An Investigation into the Sensitivity of Genetic Programming to the Frequency of Leaf Selection During Subtree Crossover
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http___www.natural-selection.com_Library_1996_gp96.zip http://www.natural-selection.com/Library/1996/gp96.zip
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angeline:1997:tcbbe Subtree Crossover: Building Block Engine or Macromutation?
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angeline:1997:txde Tracking Extrema in Dynamic Environments
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http___dx.doi.org_10.1007_BFb0014823 http://dx.doi.org/10.1007/BFb0014823
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Angeline:1997:HECa Mutation: Parse Trees
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Angeline:1997:HECb Crossover: parse trees
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angeline:1998:sccb Subtree Crossover Causes Bloat
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http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_gp1998_angeline_1998_sccb.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/gp1998/angeline_1998_sccb.pdf
angeline:1998:hpees A Historical Perspective on the Evolution of Executable Structures
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http___www.natural-selection.com_Library_1998_gphist.pdf http://www.natural-selection.com/Library/1998/gphist.pdf
angeline:1998:mips3 Multiple Interacting Programs: A Representation for Evolving Complex Behaviors
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http___www.natural-selection.com_Library_1998_mips3.pdf http://www.natural-selection.com/Library/1998/mips3.pdf
http___www.tandfonline.com_doi_abs_10.1080_019697298125407 http://www.tandfonline.com/doi/abs/10.1080/019697298125407
http___dx.doi.org_10.1080_019697298125407 http://dx.doi.org/10.1080/019697298125407
angeline:1998:spie Evolving Predictors for Chaotic Time Series
PeterJohnAngeline.html
http___www.natural-selection.com_Library_1998_spie98.pdf http://www.natural-selection.com/Library/1998/spie98.pdf
http___dx.doi.org_10.1117_12.304803 http://dx.doi.org/10.1117/12.304803
angeline:1999:hpees A Historical Perspective on the Evolution of Executable Structures
PeterJohnAngeline.html
http___www.ohmsha.co.jp_data_books_e_contents_4-274-90269-2.htm http://www.ohmsha.co.jp/data/books/e_contents/4-274-90269-2.htm
angeline:2000:EC1 Parse trees
PeterJohnAngeline.html
http___www.crcpress.com_product_isbn_9780750306645 http://www.crcpress.com/product/isbn/9780750306645
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TheodorosEKarakasidis.html
https___rdcu.be_dmkPm https://rdcu.be/dmkPm
http___dx.doi.org_10.1007_s11831-023-09922-z http://dx.doi.org/10.1007/s11831-023-09922-z
Angelov:2008:GEFS Evolving fuzzy inferential sensors for process industry
PlamenAngelov.html
ArthurKKordon.html
XiaoweiZhou.html
http___dx.doi.org_10.1109_GEFS.2008.4484565 http://dx.doi.org/10.1109/GEFS.2008.4484565
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ObradAnicic.html
SrdanJovic.html
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http___dx.doi.org_10.1016_j.optlaseng.2016.07.005 http://dx.doi.org/10.1016/j.optlaseng.2016.07.005
http___www.sciencedirect.com_science_article_pii_S0143816616301385 http://www.sciencedirect.com/science/article/pii/S0143816616301385
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MuhammadSherazAnjum.html
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https___www.springer.com_us_book_9783030166694 https://www.springer.com/us/book/9783030166694
http___dx.doi.org_10.1007_978-3-030-16670-0_1 http://dx.doi.org/10.1007/978-3-030-16670-0_1
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http___dx.doi.org_10.1109_SSCI44817.2019.9003048 http://dx.doi.org/10.1109/SSCI44817.2019.9003048
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MuhammadSherazAnjum.html
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http___dx.doi.org_10.1007_978-3-030-44094-7_2 http://dx.doi.org/10.1007/978-3-030-44094-7_2
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MuhammadSherazAnjum.html
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https___doi.org_10.1145_3377930.3390167 https://doi.org/10.1145/3377930.3390167
http___dx.doi.org_10.1145_3377930.3390167 http://dx.doi.org/10.1145/3377930.3390167
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MuhammadSherazAnjum.html
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http___dx.doi.org_10.1007_s42979-021-00631-7 http://dx.doi.org/10.1007/s42979-021-00631-7
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AftabAnjum.html
FengyangSun.html
LinWang.html
JeffOrchard.html
http___arxiv.org_abs_1904.03368 http://arxiv.org/abs/1904.03368
https___dblp.org_rec_journals_corr_abs-1904-03368.bib https://dblp.org/rec/journals/corr/abs-1904-03368.bib
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StefanAnlauf.html
AndreasHaghofer.html
KarlDirnberger.html
StephanMWinkler.html
http___dx.doi.org_10.1016_j.procs.2022.01.319 http://dx.doi.org/10.1016/j.procs.2022.01.319
https___www.sciencedirect.com_science_article_pii_S1877050922003283 https://www.sciencedirect.com/science/article/pii/S1877050922003283
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MauroAnnunziato.html
CarloBruni.html
MatteoLucchetti.html
StefanoPizzuti.html
http___content.iospress.com_articles_integrated-computer-aided-engineering_ica00140 http://content.iospress.com/articles/integrated-computer-aided-engineering/ica00140
http___dx.doi.org_10.3233_ICA-2003-10202 http://dx.doi.org/10.3233/ICA-2003-10202
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MazharAnsariArdeh.html
YiMei.html
MengjieZhang.html
https___doi.org_10.1007_978-3-030-29908-8_16 https://doi.org/10.1007/978-3-030-29908-8_16
http___dx.doi.org_10.1007_978-3-030-29908-8_16 http://dx.doi.org/10.1007/978-3-030-29908-8_16
https___dblp.org_rec_conf_pricai_ArdehMZ19.bib https://dblp.org/rec/conf/pricai/ArdehMZ19.bib
AnsariArdeh:2019:CEC Transfer Learning in Genetic Programming Hyper-heuristic for Solving Uncertain Capacitated Arc Routing Problem
MazharAnsariArdeh.html
YiMei.html
MengjieZhang.html
http___dx.doi.org_10.1109_CEC.2019.8789920 http://dx.doi.org/10.1109/CEC.2019.8789920
AnsariArdeh:2019:GECCOcomp Genetic programming hyper-heuristic with knowledge transfer for uncertain capacitated arc routing problem
MazharAnsariArdeh.html
YiMei.html
MengjieZhang.html
http___dx.doi.org_10.1145_3319619.3321988 http://dx.doi.org/10.1145/3319619.3321988
Ansel:2011:GECCO An efficient evolutionary algorithm for solving incrementally structured problems
JasonAnsel.html
MaciejPacula.html
SamanAmarasinghe.html
Una-MayO'Reilly.html
http___dx.doi.org_10.1145_2001576.2001805 http://dx.doi.org/10.1145/2001576.2001805
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JasonAnsel.html
ShoaibKamil.html
KalyanVeeramachaneni.html
JonathanRagan-Kelley.html
JeffreyBosboom.html
Una-MayO'Reilly.html
SamanAmarasinghe.html
https___dblp.org_rec_conf_IEEEpact_AnselKVRBOA14.bib https://dblp.org/rec/conf/IEEEpact/AnselKVRBOA14.bib
https___doi.org_10.1145_2628071.2628092 https://doi.org/10.1145/2628071.2628092
http___dx.doi.org_10.1145_2628071.2628092 http://dx.doi.org/10.1145/2628071.2628092
http___opentuner.org_ http://opentuner.org/
Anthes:2009:ACM Deep Data Dives Discover Natural Laws
GaryAnthes.html
http___cacm.acm.org_magazines_2009_11_48443-deep-data-dives-discover-natural-laws_pdf http://cacm.acm.org/magazines/2009/11/48443-deep-data-dives-discover-natural-laws/pdf
http___dx.doi.org_10.1145_1592761.1592768 http://dx.doi.org/10.1145/1592761.1592768
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LisaPatriciaAnthony.html
http___dspace.library.drexel.edu_handle_1721.1_18 http://dspace.library.drexel.edu/handle/1721.1/18
http___dspace.library.drexel.edu_bitstream_1860_18_1_anthony_thesis.pdf http://dspace.library.drexel.edu/bitstream/1860/18/1/anthony_thesis.pdf
Anthony:2017/08/facebook Facebook's evolutionary search for crashing software bugs
SebastianAnthony.html
https___arstechnica.co.uk_information-technology_2017_08_facebook-dynamic-analysis-software-sapienz_ https://arstechnica.co.uk/information-technology/2017/08/facebook-dynamic-analysis-software-sapienz/
https___developers.facebook.com_videos_f8-2018_friction-free-fault-finding-with-sapienz_ https://developers.facebook.com/videos/f8-2018/friction-free-fault-finding-with-sapienz/
antolik:mastersthesis Evolutionary Tree Genetic Programming
JanAntolik.html
http___www.ms.mff.cuni.cz__antoj9am_thesis.pdf http://www.ms.mff.cuni.cz/~antoj9am/thesis.pdf
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JanAntolik.html
WilliamHHsu.html
http___gpbib.cs.ucl.ac.uk_gecco2005_docs_p1789.pdf http://gpbib.cs.ucl.ac.uk/gecco2005/docs/p1789.pdf
http___dx.doi.org_10.1145_1068009.1068312 http://dx.doi.org/10.1145/1068009.1068312
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MichelaAntonelli.html
PietroDucange.html
FrancescoMarcelloni.html
ArmandoSegatori.html
http___dx.doi.org_10.1109_IFSA-NAFIPS.2013.6608367 http://dx.doi.org/10.1109/IFSA-NAFIPS.2013.6608367
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KonstantinosATheofilatos.html
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SpiridonDLikothanassis.html
http___dx.doi.org_10.1007_978-3-642-12842-4 http://dx.doi.org/10.1007/978-3-642-12842-4
Antoniou:2010:AIAI Forecasting Euro - United States Dollar Exchange Rate with Gene Expression Programming
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EfstratiosFGeorgopoulos.html
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http___dx.doi.org_10.1007_978-3-642-16239-8_13 http://dx.doi.org/10.1007/978-3-642-16239-8_13
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HendrikJamesAntonisse.html
http___dx.doi.org_10.1016_B978-0-08-050684-5.50015-X http://dx.doi.org/10.1016/B978-0-08-050684-5.50015-X
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DivyaAntony.html
NaseerC.html
http___dx.doi.org_10.1109_ICCCNT56998.2023.10307675 http://dx.doi.org/10.1109/ICCCNT56998.2023.10307675
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ShinyaAoki.html
TomoharuNagao.html
http___dx.doi.org_10.1109_ICIP.1999.821685 http://dx.doi.org/10.1109/ICIP.1999.821685
Applegate:2013:CEC An Analysis of Exchanging Fitness Cases with Population Size in Symbolic Regression Genetic Programming with Respect to the Computational Model
DouglasApplegate.html
BlayneMayfield.html
http___dx.doi.org_10.1109_CEC.2013.6557949 http://dx.doi.org/10.1109/CEC.2013.6557949
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NelsonMarceloRomeroAquino.html
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HeitorSilverioLopes.html
http___ieeexplore.ieee.org_xpl_mostRecentIssue.jsp_punumber_8275062 http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=8275062
http___dx.doi.org_10.1109_LA-CCI.2017.8285696 http://dx.doi.org/10.1109/LA-CCI.2017.8285696
Aquino:2021:HNICEM Prediction of Moisture Content of Chlorella vulgaris Microalgae Using Hybrid Evolutionary Computing and Neural Network Variants for Biofuel Production
HeinrickLAquino.html
RonnieSConcepcionII.html
AndresPhilipMayol.html
ArgelABandala.html
AlvinCulaba.html
JoelCuello.html
ElmerJosePDadios.html
AristotleTUbando.html
JayneLoisGSanJuan.html
http___dx.doi.org_10.1109_HNICEM54116.2021.9731926 http://dx.doi.org/10.1109/HNICEM54116.2021.9731926
vu37709 Cautionary note on the use of genetic programming in statistical downscaling
SachindraDhanapalaArachchige.html
KhandakarAhmed.html
ShamsuddinShahid.html
ChrisPerera.html
https___vuir.vu.edu.au_37709_ https://vuir.vu.edu.au/37709/
http___dx.doi.org_10.1002_joc.5508 http://dx.doi.org/10.1002/joc.5508
Arakawa:2006:CILS QSAR study of anti-HIV HEPT analogues based on multi-objective genetic programming and counter-propagation neural network
MasamotoArakawa.html
KiyoshiHasegawa.html
KimitoFunatsu.html
http___dx.doi.org_10.1016_j.chemolab.2006.01.009 http://dx.doi.org/10.1016/j.chemolab.2006.01.009
Aranha:2006:ASPGP The effect of using evolutionary algorithms on ant clustering techniques
ClausdeCastroAranha.html
HitoshiIba.html
http___gpbib.cs.ucl.ac.uk_aspgp06_Aranha_2006_ASPGP.pdf http://gpbib.cs.ucl.ac.uk/aspgp06/Aranha_2006_ASPGP.pdf
Araseki:2012:SCIS Effectiveness of scale-free properties in genetic programming
HitoshiAraseki.html
http___dx.doi.org_10.1109_SCIS-ISIS.2012.6505204 http://dx.doi.org/10.1109/SCIS-ISIS.2012.6505204
Araseki:2013:EVOLVE Genetic Programming with Scale-Free Dynamics
HitoshiAraseki.html
http___dx.doi.org_10.1007_978-3-319-01128-8_18 http://dx.doi.org/10.1007/978-3-319-01128-8_18
agriculture13050935 Using Genetic Programming to Identify Characteristics of Brazilian Regions in Relation to Rural Credit Allocation
AdolfoVicenteAraujo.html
CarolineMariadeMirandaMota.html
SajidSiraj.html
https___www.mdpi.com_2077-0472_13_5_935 https://www.mdpi.com/2077-0472/13/5/935
http___dx.doi.org_10.3390_agriculture13050935 http://dx.doi.org/10.3390/agriculture13050935
araujo:2003:ICES Using Genetic Programming and High Level Synthesis to Design Optimized Datapath
SergioGranatodeAraujo.html
AntonioCarneirodeMesquitaFilho.html
AloysioCPPedroza.html
http___dx.doi.org_10.1007_3-540-36553-2_39 http://dx.doi.org/10.1007/3-540-36553-2_39
semish2003meta007 S\'intese de Circuitos Digitais Otimizados via Programa\c c\~ao Gen\'etica
SergioGranatodeAraujo.html
AntonioCarneirodeMesquitaFilho.html
AloysioCPPedroza.html
http___www.lbd.dcc.ufmg.br_bdbcomp_servlet_Trabalho_id_2490 http://www.lbd.dcc.ufmg.br/bdbcomp/servlet/Trabalho?id=2490
http___www.gta.ufrj.br_ftp_gta_TechReports_AMP03d.pdf http://www.gta.ufrj.br/ftp/gta/TechReports/AMP03d.pdf
araujo:2004:eurogp Genetic Programming for Natural Language Parsing
LourdesAraujo.html
http___dx.doi.org_10.1007_978-3-540-24650-3_21 http://dx.doi.org/10.1007/978-3-540-24650-3_21
Araujo:PPSN:2006 Multiobjective Genetic Programming for Natural Language Parsing and Tagging
LourdesAraujo.html
http___ppsn2006.raunvis.hi.is_proceedings_055.pdf http://ppsn2006.raunvis.hi.is/proceedings/055.pdf
http___dx.doi.org_10.1007_11844297_44 http://dx.doi.org/10.1007/11844297_44
Araujo:2010:cec Evolving natural language grammars without supervision
LourdesAraujo.html
JesusSantamaria.html
http___dx.doi.org_10.1109_CEC.2010.5586291 http://dx.doi.org/10.1109/CEC.2010.5586291
Araujo:2015:GECCOcomp Grammatical Evolution for Identifying Wikipedia Taxonomies
LourdesAraujo.html
JuanMartinez-Romo.html
AndresDuque.html
http___doi.acm.org_10.1145_2739482.2764629 http://doi.acm.org/10.1145/2739482.2764629
http___dx.doi.org_10.1145_2739482.2764629 http://dx.doi.org/10.1145/2739482.2764629
AraujoMF18 Discovering taxonomies in Wikipedia by means of grammatical evolution
LourdesAraujo.html
JuanMartinez-Romo.html
AndresDuqueFernandez.html
https___doi.org_10.1007_s00500-017-2544-4 https://doi.org/10.1007/s00500-017-2544-4
https___dblp.org_rec_bib_journals_soco_AraujoMF18 https://dblp.org/rec/bib/journals/soco/AraujoMF18
http___dx.doi.org_10.1007_s00500-017-2544-4 http://dx.doi.org/10.1007/s00500-017-2544-4
Araujo:GPEM20 Genetic programming for natural language processing
LourdesAraujo.html
http___dx.doi.org_10.1007_s10710-019-09361-5 http://dx.doi.org/10.1007/s10710-019-09361-5
Arbuckle:2014:IJCISTUDIES Learning predictors for flash memory endurance: a comparative study of alternative classification methods
TomArbuckle.html
DamienHogan.html
ConorRyan.html
http___www.inderscience.com_link.php_id_58644 http://www.inderscience.com/link.php?id=58644
http___dx.doi.org_10.1504_IJCISTUDIES.2014.058644 http://dx.doi.org/10.1504/IJCISTUDIES.2014.058644
Arcanjo:2011:GECCO Semi-supervised genetic programming for classification
FilipedeLimaArcanjo.html
GiseleLPappa.html
PauloVianaBicalho.html
WagnerMeira.html
AltigranSdaSilva.html
http___dx.doi.org_10.1145_2001576.2001746 http://dx.doi.org/10.1145/2001576.2001746
Archanjo:2011:IRI Induction of linear genetic programs for relational database manipulation
GabrielAmbrosioArchanjo.html
FernandoJoseVonZuben.html
http___dx.doi.org_10.1109_IRI.2011.6009572 http://dx.doi.org/10.1109/IRI.2011.6009572
Archanjo:2012:ASE Genetic Programming for Automating the Development of Data Management Algorithms in Information Technology Systems
GabrielAmbrosioArchanjo.html
FernandoJoseVonZuben.html
http___www.hindawi.com_journals_ase_2012_893701_ http://www.hindawi.com/journals/ase/2012/893701/
http___dx.doi.org_10.1155_2012_893701 http://dx.doi.org/10.1155/2012/893701
1144042 Genetic programming for human oral bioavailability of drugs
FrancescoArchetti.html
StefanoLanzeni.html
EnzaMessina.html
LeonardoVanneschi.html
http___gpbib.cs.ucl.ac.uk_gecco2006_docs_p255.pdf http://gpbib.cs.ucl.ac.uk/gecco2006/docs/p255.pdf
http___dx.doi.org_10.1145_1143997.1144042 http://dx.doi.org/10.1145/1143997.1144042
Archetti:2007:evobio Genetic Programming and Other Machine Learning Approaches to Predict Median Oral Lethal Dose (LD50) and Plasma Protein Binding Levels (%PPB) of Drugs
FrancescoArchetti.html
StefanoLanzeni.html
EnzaMessina.html
LeonardoVanneschi.html
http___dx.doi.org_10.1007_978-3-540-71783-6_2 http://dx.doi.org/10.1007/978-3-540-71783-6_2
Archetti:2007:GPEM Genetic programming for computational pharmacokinetics in drug discovery and development
FrancescoArchetti.html
StefanoLanzeni.html
EnzaMessina.html
LeonardoVanneschi.html
https___rdcu.be_cYj4W https://rdcu.be/cYj4W
http___dx.doi.org_10.1007_s10710-007-9040-z http://dx.doi.org/10.1007/s10710-007-9040-z
Archetti:2008:wivace Classification of colon tumor tissues using genetic programming
FrancescoArchetti.html
MauroCastelli.html
IlariaGiordani.html
LeonardoVanneschi.html
ftp___ftp.ce.unipr.it_pub_cagnoni_WIV08_paper_202.pdf ftp://ftp.ce.unipr.it/pub/cagnoni/WIV08/paper%202.pdf
Archetti2010170 Genetic programming for QSAR investigation of docking energy
FrancescoArchetti.html
IlariaGiordani.html
LeonardoVanneschi.html
http___dx.doi.org_10.1016_j.asoc.2009.06.013 http://dx.doi.org/10.1016/j.asoc.2009.06.013
Archetti20101395 Genetic programming for anticancer therapeutic response prediction using the NCI-60 dataset
FrancescoArchetti.html
IlariaGiordani.html
LeonardoVanneschi.html
http___dx.doi.org_10.1016_j.cor.2009.02.015 http://dx.doi.org/10.1016/j.cor.2009.02.015
http___www.sciencedirect.com_science_article_B6VC5-4VS40CF-4_2_a55e5b35bc3d30ac9057d5fb8cdcd2d0 http://www.sciencedirect.com/science/article/B6VC5-4VS40CF-4/2/a55e5b35bc3d30ac9057d5fb8cdcd2d0
Arcuri:2007:ASE Coevolving Programs and Unit Tests from their Specification
AndreaArcuri.html
XinYao.html
http___dx.doi.org_10.1145_1321631.1321693 http://dx.doi.org/10.1145/1321631.1321693
Arcuri:2008:ICSEphd On the automation of fixing software bugs
AndreaArcuri.html
http___delivery.acm.org_10.1145_1380000_1370223_p1003-arcuri.pdf http://delivery.acm.org/10.1145/1380000/1370223/p1003-arcuri.pdf
http___dx.doi.org_10.1145_1370175.1370223 http://dx.doi.org/10.1145/1370175.1370223
Arcuri:2008:cec A Novel Co-Evolutionary Approach to Automatic Software Bug Fixing
AndreaArcuri.html
XinYao.html
http___dx.doi.org_10.1109_CEC.2008.4630793 http://dx.doi.org/10.1109/CEC.2008.4630793
ArcuriWCY08 Multi-Objective Improvement of Software using Co-evolution and Smart Seeding
AndreaArcuri.html
DavidRobertWhite.html
JohnAClark.html
XinYao.html
http___dx.doi.org_10.1007_978-3-540-89694-4_7 http://dx.doi.org/10.1007/978-3-540-89694-4_7
Arcuri09 Evolutionary Repair of Faulty Software
AndreaArcuri.html
ftp___ftp.cs.bham.ac.uk_pub_tech-reports_2009_CSR-09-02.pdf ftp://ftp.cs.bham.ac.uk/pub/tech-reports/2009/CSR-09-02.pdf
Arcuri:2009:SSBSE On Search Based Software Evolution
AndreaArcuri.html
http___dx.doi.org_10.1109_SSBSE.2009.12 http://dx.doi.org/10.1109/SSBSE.2009.12
Arcuri:thesis Automatic software generation and improvement through search based techniques
AndreaArcuri.html
http___etheses.bham.ac.uk_400_1_Arcuri09PhD.pdf http://etheses.bham.ac.uk/400/1/Arcuri09PhD.pdf
http___etheses.bham.ac.uk_400_ http://etheses.bham.ac.uk/400/
Arcuri2010 Co-evolutionary automatic programming for software development
AndreaArcuri.html
XinYao.html
http___dx.doi.org_10.1016_j.ins.2009.12.019 http://dx.doi.org/10.1016/j.ins.2009.12.019
http___www.sciencedirect.com_science_article_B6V0C-4Y34WFM-2_2_6700572128cf209a061759f28c5b7020 http://www.sciencedirect.com/science/article/B6V0C-4Y34WFM-2/2/6700572128cf209a061759f28c5b7020
Arcuri20113494 Evolutionary repair of faulty software
AndreaArcuri.html
http___crest.cs.ucl.ac.uk_fileadmin_crest_sebasepaper_Arcurid09d.pdf http://crest.cs.ucl.ac.uk/fileadmin/crest/sebasepaper/Arcurid09d.pdf
http___dx.doi.org_10.1016_j.asoc.2011.01.023 http://dx.doi.org/10.1016/j.asoc.2011.01.023
http___www.sciencedirect.com_science_article_B6W86-5223XWX-1_2_5d81be4fc12644887723df167e134516 http://www.sciencedirect.com/science/article/B6W86-5223XWX-1/2/5d81be4fc12644887723df167e134516
Ardeh:2020:SSCI A GPHH with Surrogate-assisted Knowledge Transfer for Uncertain Capacitated Arc Routing Problem
MazharAnsariArdeh.html
YiMei.html
MengjieZhang.html
http___dx.doi.org_10.1109_SSCI47803.2020.9308398 http://dx.doi.org/10.1109/SSCI47803.2020.9308398
Ardeh:2020:CEC Genetic Programming Hyper-Heuristics with Probabilistic Prototype Tree Knowledge Transfer for Uncertain Capacitated Arc Routing Problems
MazharAnsariArdeh.html
YiMei.html
MengjieZhang.html
http___dx.doi.org_10.1109_CEC48606.2020.9185714 http://dx.doi.org/10.1109/CEC48606.2020.9185714
ardeh:2020:AI A Parametric Framework for Genetic Programming with Transfer Learning for Uncertain Capacitated Arc Routing Problem
MazharAnsariArdeh.html
YiMei.html
MengjieZhang.html
http___link.springer.com_chapter_10.1007_978-3-030-64984-5_12 http://link.springer.com/chapter/10.1007/978-3-030-64984-5_12
http___dx.doi.org_10.1007_978-3-030-64984-5_12 http://dx.doi.org/10.1007/978-3-030-64984-5_12
Ardeh:2021:CEC Surrogate-Assisted Genetic Programming with Diverse Transfer for the Uncertain Capacitated Arc Routing Problem
MazharAnsariArdeh.html
YiMei.html
MengjieZhang.html
http___dx.doi.org_10.1109_CEC45853.2021.9504817 http://dx.doi.org/10.1109/CEC45853.2021.9504817
Ardeh:2021:GECCO A Novel Multi-Task Genetic Programming Approach to Uncertain Capacitated Arc Routing Problem
MazharAnsariArdeh.html
YiMei.html
MengjieZhang.html
http___dx.doi.org_10.1145_3449639.3459322 http://dx.doi.org/10.1145/3449639.3459322
Ardeh:2022:ieeeTEC Genetic Programming With Knowledge Transfer and Guided Search for Uncertain Capacitated Arc Routing Problem
MazharAnsariArdeh.html
YiMei.html
MengjieZhang.html
http___dx.doi.org_10.1109_TEVC.2021.3129278 http://dx.doi.org/10.1109/TEVC.2021.3129278
Ardeh:ieeeTEC2 Knowledge Transfer Genetic Programming with Auxiliary Population for Solving Uncertain Capacitated Arc Routing Problem
MazharAnsariArdeh.html
YiMei.html
MengjieZhang.html
XinYao.html
http___dx.doi.org_10.1109_TEVC.2022.3169289 http://dx.doi.org/10.1109/TEVC.2022.3169289
DBLP:journals/rcs/ArellanoR19 Forward Kinematics for 2 DOF Planar Robot using Linear Genetic Programming
HumbertoVelascoArellano.html
MartinMontesRivera.html
https___www.rcs.cic.ipn.mx_2019_148_6_Forward_20Kinematics_20for_202_20DOF_20Planar_20Robot_20using_20Linear_20Genetic_20Programming.pdf https://www.rcs.cic.ipn.mx/2019_148_6/Forward%20Kinematics%20for%202%20DOF%20Planar%20Robot%20using%20Linear%20Genetic%20Programming.pdf
https___dblp.org_rec_journals_rcs_ArellanoR19.bib https://dblp.org/rec/journals/rcs/ArellanoR19.bib
Arganis:2009:AiCE Genetic Programming and Standardization in Water Temperature Modelling
MaritzaLilianaArganisJuarez.html
RafaelValSegura.html
JordiPrats.html
KatyaRodriguez-Vazquez.html
RamonDominguezMora.html
JoseDolzRipolles.html
http___downloads.hindawi.com_journals_ace_2009_353960.pdf http://downloads.hindawi.com/journals/ace/2009/353960.pdf
http___dx.doi.org_10.1155_2009_353960 http://dx.doi.org/10.1155/2009/353960
Arganis:2012:GPnew Comparison Between Equations Obtained by Means of Multiple Linear Regression and Genetic Programming to Approach Measured Climatic Data in a River
MaritzaLilianaArganisJuarez.html
RafaelValSegura.html
RamonDominguezMora.html
KatyaRodriguez-Vazquez.html
JoseDolzRipolles.html
JamesMEaton.html
http___dx.doi.org_10.5772_50556 http://dx.doi.org/10.5772/50556
Arganis:2015:REDIN Daily rainfall interpolation models obtained by means of genetic programming
MaritzaLilianaArganisJuarez.html
MargaritaElizabethPreciadoJimenez.html
KatyaRodriguez-Vazquez.html
https___revistas.udea.edu.co_index.php_ingenieria_article_view_21564_18766 https://revistas.udea.edu.co/index.php/ingenieria/article/view/21564/18766
http___dx.doi.org_10.17533_udea.redin.n75a18 http://dx.doi.org/10.17533/udea.redin.n75a18
ARGANISJUAREZ:2022:jksus Evaluation of the capacity of PET bottles, water aeration, and water recirculation to reduce evaporation in containers of water
MaritzaLilianaArganisJuarez.html
MariaFernandaHernandezIgnacio.html
SandraLizbethRosalesSilvestre.html
JavierOsnayaRomero.html
EliseoCarrizosaElizondo.html
http___dx.doi.org_10.1016_j.jksus.2022.102046 http://dx.doi.org/10.1016/j.jksus.2022.102046
https___www.sciencedirect.com_science_article_pii_S1018364722002270 https://www.sciencedirect.com/science/article/pii/S1018364722002270
Argyri2012 A comparison of Raman and FT-IR spectroscopy for the prediction of meat spoilage
AnthoulaAArgyri.html
RogerMJarvis.html
DavidCWedge.html
YunXu.html
EfstathiosZPanagou.html
RoystonGoodacre.html
George-JohnENychas.html
http___dx.doi.org_10.1016_j.foodcont.2012.05.040 http://dx.doi.org/10.1016/j.foodcont.2012.05.040
http___www.sciencedirect.com_science_article_pii_S0956713512002745 http://www.sciencedirect.com/science/article/pii/S0956713512002745
Ari:2021:ICIT A Genetic Programming Based Pollutant Concentration Predictor Design for Urban Pollution Monitoring Based on Multi-Sensor Electronic Nose
DavutAri.html
BarisBaykantAlagoz.html
http___dx.doi.org_10.1109_ICIT52682.2021.9491122 http://dx.doi.org/10.1109/ICIT52682.2021.9491122
conf/cit/AriA21a Modeling Daily Financial Market Data by Using Tree-Based Genetic Programming
DavutAri.html
BarisBaykantAlagoz.html
http___dx.doi.org_10.1109_ICIT52682.2021.9491652 http://dx.doi.org/10.1109/ICIT52682.2021.9491652
ari:2022:NCaA An effective integrated genetic programming and neural network model for electronic nose calibration of air pollution monitoring application
DavutAri.html
BarisBaykantAlagoz.html
http___link.springer.com_article_10.1007_s00521-022-07129-0 http://link.springer.com/article/10.1007/s00521-022-07129-0
http___dx.doi.org_10.1007_s00521-022-07129-0 http://dx.doi.org/10.1007/s00521-022-07129-0
ari:2023:SC DEHypGpOls: a genetic programming with evolutionary hyperparameter optimization and its application for stock market trend prediction
DavutAri.html
BarisBaykantAlagoz.html
https___rdcu.be_daFKI https://rdcu.be/daFKI
http___link.springer.com_article_10.1007_s00500-022-07571-1 http://link.springer.com/article/10.1007/s00500-022-07571-1
http___dx.doi.org_10.1007_s00500-022-07571-1 http://dx.doi.org/10.1007/s00500-022-07571-1
Arif:2017:ICTAI Solving Social Media Text Classification Problems Using Code Fragment-Based XCSR
MuhammadHassanArif.html
JianxinLi.html
MuhammadIqbal.html
http___dx.doi.org_10.1109_ICTAI.2017.00080 http://dx.doi.org/10.1109/ICTAI.2017.00080
Aristotle-De-Leon:2022:HNICEM Vertical Electrical Sounding Inversion Models Trained from Dataset using Synthetic Data and Genetic Programming
JosephAristotleRDeLeon.html
MikeLouieEnriquez.html
RonnieSConcepcionII.html
IraValenzuela.html
RyanRhayPVicerra.html
HomerCo.html
ArgelABandala.html
ElmerJosePDadios.html
http___dx.doi.org_10.1109_HNICEM57413.2022.10109565 http://dx.doi.org/10.1109/HNICEM57413.2022.10109565
Arkoudas:2008:AAAIf Automatically Discovering Euler's Identity via Genetic Programming
KonstantineArkoudas.html
http___www.aaai.org_Papers_Symposia_Fall_2008_FS-08-03_FS08-03-001.pdf http://www.aaai.org/Papers/Symposia/Fall/2008/FS-08-03/FS08-03-001.pdf
Arkov:2000:ARC System Identification Strategies Applied to Aircraft Gas Turbine Engines
VArkov.html
CEvans.html
PeterJFleming.html
DCHill.html
JPNorton.html
IPratt.html
DRees.html
KatyaRodriguez-Vazquez.html
http___dx.doi.org_10.1016_S1367-5788_00_90015-4 http://dx.doi.org/10.1016/S1367-5788(00)90015-4
journals/ewc/ArmaghaniFMFT18 Performance prediction of tunnel boring machine through developing a gene expression programming equation
DanialJahedArmaghani.html
RoohollahShiraniFaradonbeh.html
EhsanMomeni.html
AhmadFahimifar.html
MahmoodMDTahir.html
http___dx.doi.org_10.1007_s00366-017-0526-x http://dx.doi.org/10.1007/s00366-017-0526-x
armaghani:2018:NCaA Settlement prediction of the rock-socketed piles through a new technique based on gene expression programming
DanialJahedArmaghani.html
RoohollahShiraniFaradonbeh.html
HosseinRezaei.html
AhmadSafuanARashid.html
HassanBakhshandehAmnieh.html
http___link.springer.com_article_10.1007_s00521-016-2618-8 http://link.springer.com/article/10.1007/s00521-016-2618-8
http___dx.doi.org_10.1007_s00521-016-2618-8 http://dx.doi.org/10.1007/s00521-016-2618-8
Armani_2010 Enhancements to a hybrid genetic programming technique applied to symbolic regression
UmbertoArmani.html
VassiliVToropov.html
AndreyPolynkin.html
OsvaldoMQuerin.html
LuisFAlvarez.html
http___www.asmo-uk.com_8th-asmo-uk_html_menu_page.html http://www.asmo-uk.com/8th-asmo-uk/html/menu_page.html
http___www.asmo-uk.com_8th-asmo-uk_presentations_session1_presentation5.pdf http://www.asmo-uk.com/8th-asmo-uk/presentations/session1_presentation5.pdf
Armani_2011_1 Generation of models related to aluminium surface treatment using genetic programming
UmbertoArmani.html
DirkJanBoon.html
VassiliVToropov.html
AndreyPolynkin.html
LeslieJClark.html
MaryBStowe.html
http___pbl.eng.kagawa-u.ac.jp_kani_p_paper246_1.pdf http://pbl.eng.kagawa-u.ac.jp/kani/p/paper246_1.pdf
Armani_2011_2 Control of Physical Consistency in Metamodel Building by Genetic Programming
UmbertoArmani.html
ZKhatir.html
AmirulKhan.html
VassiliVToropov.html
AndreyPolynkin.html
HThompson.html
NKapur.html
CJNoakes.html
http___www.ctresources.info_ccp_paper.html_id_6631 http://www.ctresources.info/ccp/paper.html?id=6631
http___dx.doi.org_10.4203_ccp.97.43 http://dx.doi.org/10.4203/ccp.97.43
Armani_2012 Derivation of Deterministic Design Data from Stochastic Analysis in the Aircraft Design Process
UmbertoArmani.html
SCoggon.html
VassiliVToropov.html
http___webapp.tudelft.nl_proceedings_cst2012_html_summary_armani.htm http://webapp.tudelft.nl/proceedings/cst2012/html/summary/armani.htm
http___webapp.tudelft.nl_proceedings_cst2012_pdf_armani.pdf http://webapp.tudelft.nl/proceedings/cst2012/pdf/armani.pdf
http___dx.doi.org_10.4203_ccp.99.216 http://dx.doi.org/10.4203/ccp.99.216
Armani_PhD_thesis Development of a hybrid genetic programming technique for computationally expensive optimisation problems
UmbertoArmani.html
http___etheses.whiterose.ac.uk_7281_1_Armani_PhD_thesis_resubmission_grerrors_corrected.pdf http://etheses.whiterose.ac.uk/7281/1/Armani_PhD_thesis_resubmission_grerrors_corrected.pdf
http___etheses.whiterose.ac.uk_7281_ http://etheses.whiterose.ac.uk/7281/
http___ethos.bl.uk_OrderDetails.do_did_50_uin_uk.bl.ethos.631392 http://ethos.bl.uk/OrderDetails.do?did=50&uin=uk.bl.ethos.631392
arnaldo:2014:EuroGP Flash: A GP-GPU Ensemble Learning System for Handling Large Datasets
IgnacioArnaldoLucas.html
KalyanVeeramachaneni.html
Una-MayO'Reilly.html
http___dx.doi.org_10.1007_978-3-662-44303-3_2 http://dx.doi.org/10.1007/978-3-662-44303-3_2
Arnaldo:2014:GECCO Multiple regression genetic programming
IgnacioArnaldoLucas.html
KrzysztofKrawiec.html
Una-MayO'Reilly.html
http___doi.acm.org_10.1145_2576768.2598291 http://doi.acm.org/10.1145/2576768.2598291
http___dx.doi.org_10.1145_2576768.2598291 http://dx.doi.org/10.1145/2576768.2598291
https___flexgp.github.io_gp-learners_mrgp.html https://flexgp.github.io/gp-learners/mrgp.html
Arnaldo:2015:GECCO Building Predictive Models via Feature Synthesis
IgnacioArnaldoLucas.html
Una-MayO'Reilly.html
KalyanVeeramachaneni.html
http___doi.acm.org_10.1145_2739480.2754693 http://doi.acm.org/10.1145/2739480.2754693
http___dx.doi.org_10.1145_2739480.2754693 http://dx.doi.org/10.1145/2739480.2754693
Arnold:2014:GECCOcomp GECCO Comp '14: Proceedings of the 2014 conference companion on Genetic and evolutionary computation companion
DirkVArnold.html
MengjieZhang.html
RyanJUrbanowicz.html
MuhammadIqbal.html
KamranShafi.html
ForrestStonedahl.html
WilliamMichaelRand.html
TeaTusar.html
BorisNaujoks.html
DavidWalker.html
RichardEverson.html
JonathanEFieldsend.html
StefanWagner.html
MichaelAffenzeller.html
ZhunFan.html
YaochuJin.html
HodLipson.html
ErikGoodman.html
Alexandru-AdrianTantar.html
EmiliaTantar.html
PeterANBosman.html
KentMcClymont.html
KevinSim.html
GabrielaOchoa.html
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Ekaterina_Katya_Vladislavleva.html
JohnRWoodward.html
JerrySwan.html
EarlBarr.html
KrzysztofKrawiec.html
ChrisSimons.html
JohnAClark.html
DirkSudholt.html
AnnaEsparcia-Alcazar.html
AnikoEkart.html
CarolaDoerr.html
AnneAuger.html
http___dl.acm.org_citation.cfm_id_2598394 http://dl.acm.org/citation.cfm?id=2598394
http___dx.doi.org_10.1145_2598394 http://dx.doi.org/10.1145/2598394
Arora:2012:IJCA Optimization of Decision Rules in Fuzzy Classification
RenukaArora.html
SudeshKumar.html
http___research.ijcaonline.org_volume51_number3_pxc3880505.pdf http://research.ijcaonline.org/volume51/number3/pxc3880505.pdf
http___dx.doi.org_10.5120_8021-0505 http://dx.doi.org/10.5120/8021-0505
Arora:2010:NAACL Sentiment Classification Using Automatically Extracted Subgraph Features
ShilpaArora.html
ElijahMayfield.html
CarolynPensteinRose.html
EricNyberg.html
http___dl.acm.org_citation.cfm_id_1860631.1860647 http://dl.acm.org/citation.cfm?id=1860631.1860647
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.207.7440 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.207.7440
http___www.cs.cmu.edu__7Eemayfiel_AroraMayfieldRoseNybergNAACL2010.pdf http://www.cs.cmu.edu/%7Eemayfiel/AroraMayfieldRoseNybergNAACL2010.pdf
Arpaia:2009:I2MTC Automatic modeling based on cultural programming for osseointegration diagnosis
PasqualeArpaia.html
FabrizioClemente.html
CarloManna.html
GiuseppeMontenero.html
http___dx.doi.org_10.1109_IMTC.2009.5168651 http://dx.doi.org/10.1109/IMTC.2009.5168651
Arroba:2015:grid Enhancing regression models for complex systems using evolutionary techniques for feature engineering
PatriciaArroba.html
JoseLRisco-Martin.html
MarinaZapater.html
JoseManuelMoya.html
JoseLuisAyala.html
http___eprints.ucm.es_30960_ http://eprints.ucm.es/30960/
http___eprints.ucm.es_30960_1_JGridComputing2014.pdf http://eprints.ucm.es/30960/1/JGridComputing2014.pdf
http___link.springer.com_article_10.1007_2Fs10723-014-9313-8 http://link.springer.com/article/10.1007%2Fs10723-014-9313-8
http___dx.doi.org_10.1007_s10723-014-9313-8 http://dx.doi.org/10.1007/s10723-014-9313-8
Arsalan:2017:ASC Protection of medical images and patient related information in healthcare: Using an intelligent and reversible watermarking technique
MuhammadArsalanAwan.html
AqsaSaeedQureshi.html
AsifullahKhan.html
MuttukrishnanRajarajan.html
http___dx.doi.org_10.1016_j.asoc.2016.11.044 http://dx.doi.org/10.1016/j.asoc.2016.11.044
http___www.sciencedirect.com_science_article_pii_S1568494616306135 http://www.sciencedirect.com/science/article/pii/S1568494616306135
conf/cibb/ArseneAB13 Reverse Engineering Methodology for Bioinformatics Based on Genetic Programming, Differential Expression Analysis and Other Statistical Methods
CorneliuTCArsene.html
DenisaArdevan.html
PaulBulzu.html
http___dx.doi.org_10.1007_978-3-319-09042-9 http://dx.doi.org/10.1007/978-3-319-09042-9
Arshad:2014:FIT Wind Power Prediction Using Genetic Programming Based Ensemble of Artificial Neural Networks (GPeANN)
JunaidArshad.html
AneelaZameer.html
AsifullahKhan.html
http___dx.doi.org_10.1109_FIT.2014.55 http://dx.doi.org/10.1109/FIT.2014.55
Arshad:2014:IJCNN Smart bandwidth management using a recurrent Neuro-Evolutionary technique
RabiaArshad.html
GulMuhammadKhan.html
SahibzadaAliMahmud.html
http___dx.doi.org_10.1109_IJCNN.2014.6889727 http://dx.doi.org/10.1109/IJCNN.2014.6889727
Arslan:2017:BIYOMUT Feature Selected Cancer Data Classification with Genetic Programming
SibelArslan.html
CelalOzturk.html
http___dx.doi.org_10.1109_BIYOMUT.2017.8478885 http://dx.doi.org/10.1109/BIYOMUT.2017.8478885
ARSLAN:2019:ASC Multi Hive Artificial Bee Colony Programming for high dimensional symbolic regression with feature selection
SibelArslan.html
CelalOzturk.html
http___dx.doi.org_10.1016_j.asoc.2019.03.014 http://dx.doi.org/10.1016/j.asoc.2019.03.014
http___www.sciencedirect.com_science_article_pii_S1568494619301322 http://www.sciencedirect.com/science/article/pii/S1568494619301322
arslan:2019:AS Artificial Bee Colony Programming Descriptor for Multi-Class Texture Classification
SibelArslan.html
CelalOzturk.html
https___www.mdpi.com_2076-3417_9_9_1930 https://www.mdpi.com/2076-3417/9/9/1930
https___www.mdpi.com_2076-3417_9_9_1930.pdf https://www.mdpi.com/2076-3417/9/9/1930.pdf
http___dx.doi.org_10.3390_app9091930 http://dx.doi.org/10.3390/app9091930
Arslan:2022:ASYU Titan Yellow Biosorption of Hemp Waste in Acidic Medium and Modeling of Experimental Conditions by Multi Gene Genetic Programming
SibelArslan.html
NursahKutuk.html
http___dx.doi.org_10.1109_ASYU56188.2022.9925394 http://dx.doi.org/10.1109/ASYU56188.2022.9925394
Arvaneh:2009:ICBPE Prediction of Paroxysmal Atrial Fibrillation by dynamic modeling of the PR interval of ECG
MahnazArvaneh.html
HamedAhmadi.html
AsadAzemi.html
MahnooshShajiee.html
ZeinabSadatDastgheib.html
http___dx.doi.org_10.1109_ICBPE.2009.5384063 http://dx.doi.org/10.1109/ICBPE.2009.5384063
aryafar:2019:EES Evolving genetic programming and other AI-based models for estimating groundwater quality parameters of the Khezri plain, Eastern Iran
AhmadAryafar.html
VahidKhosravi.html
HosniyehZarepourfard.html
RezaRooki.html
http___link.springer.com_article_10.1007_s12665-019-8092-8 http://link.springer.com/article/10.1007/s12665-019-8092-8
http___dx.doi.org_10.1007_s12665-019-8092-8 http://dx.doi.org/10.1007/s12665-019-8092-8
Asadi:2010:ASC Evaluating the strength of intact rocks through genetic programming
MojtabaAsadi.html
MehdiEftekhari.html
MohammadHosseinBagheripour.html
http___www.sciencedirect.com_science_article_B6W86-50CVPW4-2_2_863c13a5a1c7be6da7b1ea6592b11bd3 http://www.sciencedirect.com/science/article/B6W86-50CVPW4-2/2/863c13a5a1c7be6da7b1ea6592b11bd3
http___dx.doi.org_10.1016_j.asoc.2010.06.009 http://dx.doi.org/10.1016/j.asoc.2010.06.009
AsadiTashvigh:2015:Calphad A novel approach for estimation of solvent activity in polymer solutions using genetic programming
AkbarAsadiTashvigh.html
FarzinZokaeeAshtiani.html
MohammadKarimi.html
AhmadOkhovat.html
http___dx.doi.org_10.1016_j.calphad.2015.07.005 http://dx.doi.org/10.1016/j.calphad.2015.07.005
http___www.sciencedirect.com_science_article_pii_S0364591615300080 http://www.sciencedirect.com/science/article/pii/S0364591615300080
ASADZADEH:2021:AES Symbolic regression based hybrid semiparametric modelling of processes: An example case of a bending process
MohammadZhianAsadzadeh.html
Hans-PeterGanser.html
ManfredMucke.html
http___dx.doi.org_10.1016_j.apples.2021.100049 http://dx.doi.org/10.1016/j.apples.2021.100049
https___www.sciencedirect.com_science_article_pii_S2666496821000157 https://www.sciencedirect.com/science/article/pii/S2666496821000157
Ashiru:1998:MM Evolving communicating controllers for multiple mobile robot systems
IAshiru.html
CACzarnecki.html
http___www.sciencedirect.com_science_article_B6V0X-3TB0788-6_2_445577f1e7cd0c0d531457835edf327e http://www.sciencedirect.com/science/article/B6V0X-3TB0788-6/2/445577f1e7cd0c0d531457835edf327e
http___dx.doi.org_10.1016_S0141-9331_98_00054-4 http://dx.doi.org/10.1016/S0141-9331(98)00054-4
ashlock:1997:GPdd GP-Automata for Dividing the Dollar
DanielAshlock.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_gp1997_ashlock_1997_GPdd.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/gp1997/ashlock_1997_GPdd.pdf
ashlock:1997:spbs The Effect of Splitting Populations on Bidding Strategies
DanielAshlock.html
CharlesWRichterJr.html
http___dakotarichter.com_papers_AshlockRichterSplittingPopulationsGP97.pdf http://dakotarichter.com/papers/AshlockRichterSplittingPopulationsGP97.pdf
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_gp1997_ashlock_1997_spbs.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/gp1997/ashlock_1997_spbs.pdf
ashlock:1998:fctsGP A Fully Characterized Test Suite for Genetic Programming
DanielAshlock.html
JamesILathrop.html
https___rdcu.be_cTHTU https://rdcu.be/cTHTU
https___link.springer.com_chapter_10.1007_BFb0040805 https://link.springer.com/chapter/10.1007/BFb0040805
http___dx.doi.org_10.1007_BFb0040753 http://dx.doi.org/10.1007/BFb0040753
ashlock:1998:ISAc ISAc Lists, A Different Representation for Program Induction
DanielAshlock.html
MarkJoenks.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_gp1998_ashlock_1998_ISAc.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/gp1998/ashlock_1998_ISAc.pdf
ashlock:2003:taaaogptve Thermal agents: An application of genetic programming to virtual engineering
DanielAshlock.html
KennethMBryden.html
http___dx.doi.org_10.1109_CEC.2003.1299824 http://dx.doi.org/10.1109/CEC.2003.1299824
Ashlock:2004:OToECP On Taxonomy of Evolutionary Computation Problems
DanielAshlock.html
KennethMBryden.html
StevenMCorns.html
https___citeseerx.ist.psu.edu_viewdoc_download_doi_10.1.1.1072.3780_rep_rep1_type_pdf https://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.1072.3780&rep=rep1&type=pdf
http___dx.doi.org_10.1109_CEC.2004.1331102 http://dx.doi.org/10.1109/CEC.2004.1331102
Ashlock:2004:CaT Coevolution and Tartarus
DanielAshlock.html
StephenJWillson.html
NicolePLeahy.html
http___orion.math.iastate.edu_danwell_eprints_TartarusCE.pdf http://orion.math.iastate.edu/danwell/eprints/TartarusCE.pdf
http___ieeexplore.ieee.org_stamp_stamp.jsp_arnumber_01331089 http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=01331089
http___dx.doi.org_10.1109_CEC.2004.1331089 http://dx.doi.org/10.1109/CEC.2004.1331089
ashlock:2005:CECd Rapid Training of Thermal Agents with Single Parent Genetic Programming
DanielAshlock.html
KennethMBryden.html
WendyAshlock.html
StephenPGent.html
http___dx.doi.org_10.1109_CEC.2005.1554957 http://dx.doi.org/10.1109/CEC.2005.1554957
Ashlock:2006:CECtax An Updated Taxonomy of Evolutionary Computation Problems using Graph-based Evolutionary Algorithms
DanielAshlock.html
KennethMBryden.html
StevenMCorns.html
JustinSchonfeld.html
http___dx.doi.org_10.1109_CEC.2006.1688295 http://dx.doi.org/10.1109/CEC.2006.1688295
Ashlock:2006:book Evolutionary Computation for Modeling and Optimization
DanielAshlock.html
http___dx.doi.org_10.1007_0-387-31909-3 http://dx.doi.org/10.1007/0-387-31909-3
Ashlock:2006:ANNIE Evolvable Threaded Controllers for a Multi-Agent Grid Robot Task
DanielAshlock.html
KennethMBryden.html
NathanGJohnson.html
http___dx.doi.org_10.1115_1.802566.paper22 http://dx.doi.org/10.1115/1.802566.paper22
Ashlock:2006:ANNIEa Function Stacks, GBEAs, and Crossover for the Parity Problem
DanielAshlock.html
KennethMBryden.html
http___dx.doi.org_10.1115_1.802566.paper18 http://dx.doi.org/10.1115/1.802566.paper18
Ashlock:2008:cec Evolution of Artificial Ring Species
DanielAshlock.html
TaikavonKonigslow.html
http___dx.doi.org_10.1109_CEC.2008.4630865 http://dx.doi.org/10.1109/CEC.2008.4630865
Ashlock3:2008:cec The Geometry of Tartarus Fitness Cases
DanielAshlock.html
ElizabethWarner.html
http___dx.doi.org_10.1109_CEC.2008.4630965 http://dx.doi.org/10.1109/CEC.2008.4630965
Ashlock5:2008:cec Small Population Effects and Hybridization
DanielAshlock.html
KennethMBryden.html
StevenMCorns.html
http___dx.doi.org_10.1109_CEC.2008.4631152 http://dx.doi.org/10.1109/CEC.2008.4631152
Ashlock:2009:ANNIEa Induction of Virtual Sensors with Function Stacks
DanielAshlock.html
AdamJShuttleworth.html
KennethMBryden.html
http___dx.doi.org_10.1115_1.802953.paper4 http://dx.doi.org/10.1115/1.802953.paper4
Ashlock:2009:ANNIE Logic Function Induction with the Blender Algorithm Using Function Stacks
DanielAshlock.html
DouglasSMcCorkle.html
KennethMBryden.html
http___dx.doi.org_10.1115_1.802953.paper24 http://dx.doi.org/10.1115/1.802953.paper24
Ashlock:2010:cec Evolution for automatic assessment of the difficulty of Sokoban boards
DanielAshlock.html
JustinSchonfeld.html
http___dx.doi.org_10.1109_CEC.2010.5586239 http://dx.doi.org/10.1109/CEC.2010.5586239
Ashlock:2015:CEC Evolving Fractal Art with a Directed Acyclic Graph Genetic Programming Representation
DanielAshlock.html
JeffreyTsang.html
http___eldar.mathstat.uoguelph.ca_dashlock_eprints_RFSfrac.pdf http://eldar.mathstat.uoguelph.ca/dashlock/eprints/RFSfrac.pdf
http___dx.doi.org_10.1109_CEC.2015.7257148 http://dx.doi.org/10.1109/CEC.2015.7257148
Ashlock:2016:CEC Evolutionary Partitioning Regression with Function Stacks
DanielAshlock.html
JosephAlexanderBrown.html
http___dx.doi.org_10.1109_CEC.2016.7743963 http://dx.doi.org/10.1109/CEC.2016.7743963
Ashlock:2016:CECa Generalized Divide the Dollar
DanielAshlock.html
GarrisonWGreenwood.html
http___dx.doi.org_10.1109_CEC.2016.7743814 http://dx.doi.org/10.1109/CEC.2016.7743814
ashlock:2005:CECw Single Parent Genetic Programming
WendyAshlock.html
DanielAshlock.html
http___dx.doi.org_10.1109_CEC.2005.1554823 http://dx.doi.org/10.1109/CEC.2005.1554823
ashlock:2006:cecW Using Very Small Population Sizes in Genetic Programming
WendyAshlock.html
http___dx.doi.org_10.1109_CEC.2006.1688325 http://dx.doi.org/10.1109/CEC.2006.1688325
Ashlock:2006:ANNIEw Mutation vs. Crossover with Genetic Programming
WendyAshlock.html
http___dx.doi.org_10.1115_1.802566.paper2 http://dx.doi.org/10.1115/1.802566.paper2
Ashlock:2011:CIBCB Designing artificial organisms for use in biological simulations
WendyAshlock.html
DanielAshlock.html
http___dx.doi.org_10.1109_CIBCB.2011.5948463 http://dx.doi.org/10.1109/CIBCB.2011.5948463
Ashlock:2019:CIBCB Implementing Phenotypic Plasticity with an Adaptive Generative Representation
DanielAshlock.html
WendyAshlock.html
JamesMontgomery.html
https___ieeexplore.ieee.org_stamp_stamp.jsp_tp__arnumber_8791496 https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8791496
http___dx.doi.org_10.1109_CIBCB.2019.8791496 http://dx.doi.org/10.1109/CIBCB.2019.8791496
ashofteh:2019:EMaA Logical genetic programming (LGP) application to water resources management
Parisa-SadatAshofteh.html
OmidBozorgHaddad.html
HugoALoaiciga.html
http___link.springer.com_article_10.1007_s10661-019-8014-y http://link.springer.com/article/10.1007/s10661-019-8014-y
http___dx.doi.org_10.1007_s10661-019-8014-y http://dx.doi.org/10.1007/s10661-019-8014-y
Ashour:2003:CS Empirical modelling of shear strength of RC deep beams by genetic programming
AFAshour.html
LuisFAlvarez.html
VassiliVToropov.html
http___dx.doi.org_10.1016_S0045-7949_02_00437-6 http://dx.doi.org/10.1016/S0045-7949(02)00437-6
Ashrafian:2020:Measurement An evolutionary approach to formulate the compressive strength of roller compacted concrete pavement
AliAshrafian.html
AHGandomi.html
MohammadRezaie-Balf.html
MohammadEmadi.html
http___www.sciencedirect.com_science_article_pii_S026322411931173X http://www.sciencedirect.com/science/article/pii/S026322411931173X
http___dx.doi.org_10.1016_j.measurement.2019.107309 http://dx.doi.org/10.1016/j.measurement.2019.107309
ASIM:2018:SDEE Seismic indicators based earthquake predictor system using Genetic Programming and AdaBoost classification
KhawajaMAsim.html
AdnanIdris.html
TalatIqbal.html
FranciscoMartinez-Alvarez.html
http___www.sciencedirect.com_science_article_pii_S0267726118301349 http://www.sciencedirect.com/science/article/pii/S0267726118301349
https___iranarze.ir_wp-content_uploads_2018_09_E9269-IranArze.pdf https://iranarze.ir/wp-content/uploads/2018/09/E9269-IranArze.pdf
http___dx.doi.org_10.1016_j.soildyn.2018.04.020 http://dx.doi.org/10.1016/j.soildyn.2018.04.020
ASKARI:2022:renene A parametric assessing and intelligent forecasting of the energy and exergy performances of a dish concentrating photovoltaic/thermal collector considering six different nanofluids and applying two meticulous soft computing paradigms
IghballBaniasadAskari.html
AminShahsavar.html
MehdiJamei.html
FrancescoCalise.html
MasoudKarbasi.html
http___dx.doi.org_10.1016_j.renene.2022.04.155 http://dx.doi.org/10.1016/j.renene.2022.04.155
https___www.sciencedirect.com_science_article_pii_S0960148122006231 https://www.sciencedirect.com/science/article/pii/S0960148122006231
EUSIPCO:2010 Detection of Diabetes Using Genetic Programming
MuhammadWaqarAslam.html
AsokeKNandi.html
http___www.eurasip.org_Proceedings_Eusipco_Eusipco2010_Contents_papers_1569291873.pdf http://www.eurasip.org/Proceedings/Eusipco/Eusipco2010/Contents/papers/1569291873.pdf
Aslam:2010:milcom Automatic digital modulation classification using Genetic Programming with K-Nearest Neighbor
MuhammadWaqarAslam.html
ZhechenZhu.html
AsokeKNandi.html
http___dx.doi.org_10.1109_MILCOM.2010.5680232 http://dx.doi.org/10.1109/MILCOM.2010.5680232
EUSIPCO:2011 Robust QAM Classification Using Genetic Programming and Fisher Criterion
MuhammadWaqarAslam.html
ZhechenZhu.html
AsokeKNandi.html
http___www.eurasip.org_Proceedings_Eusipco_Eusipco2011_papers_1569422149.pdf http://www.eurasip.org/Proceedings/Eusipco/Eusipco2011/papers/1569422149.pdf
Aslam:2012:ieeeTWC Automatic Modulation Classification Using Combination of Genetic Programming and KNN
MuhammadWaqarAslam.html
ZhechenZhu.html
AsokeKNandi.html
http___dx.doi.org_10.1109_TWC.2012.060412.110460 http://dx.doi.org/10.1109/TWC.2012.060412.110460
AslamMuh_Feb2013_10353 Pattern recognition using genetic programming for classification of diabetes and modulation data
MuhammadWaqarAslam.html
http___repository.liv.ac.uk_10353_1_AslamMuh_Feb2013_10353.pdf http://repository.liv.ac.uk/10353/1/AslamMuh_Feb2013_10353.pdf
http___repository.liv.ac.uk_10353_ http://repository.liv.ac.uk/10353/
http___ethos.bl.uk_OrderDetails.do_did_47_uin_uk.bl.ethos.579375 http://ethos.bl.uk/OrderDetails.do?did=47&uin=uk.bl.ethos.579375
Aslam:2013:ESA Feature generation using genetic programming with comparative partner selection for diabetes classification
MuhammadWaqarAslam.html
ZhechenZhu.html
AsokeKNandi.html
http___dx.doi.org_10.1016_j.eswa.2013.04.003 http://dx.doi.org/10.1016/j.eswa.2013.04.003
http___www.sciencedirect.com_science_article_pii_S0957417413002406 http://www.sciencedirect.com/science/article/pii/S0957417413002406
Aslam:2013:MLSP Improved comparative partner selection with brood recombination for genetic programming
MuhammadWaqarAslam.html
ZhechenZhu.html
AsokeKNandi.html
http___dx.doi.org_10.1109_MLSP.2013.6661901 http://dx.doi.org/10.1109/MLSP.2013.6661901
Aslam:2015:SAI Selection of fitness function in genetic programming for binary classification
MuhammadWaqarAslam.html
http___dx.doi.org_10.1109_SAI.2015.7237187 http://dx.doi.org/10.1109/SAI.2015.7237187
ASLAM:2018:ASC Diverse partner selection with brood recombination in genetic programming
MuhammadWaqarAslam.html
ZhechenZhu.html
AsokeKNandi.html
http___dx.doi.org_10.1016_j.asoc.2018.03.035 http://dx.doi.org/10.1016/j.asoc.2018.03.035
http___www.sciencedirect.com_science_article_pii_S1568494618301571 http://www.sciencedirect.com/science/article/pii/S1568494618301571
Aslan:2019:evoapplications Evolving Trust Formula to Evaluate Data Trustworthiness in VANETs Using Genetic Programming
MehmetAslan.html
SevilSen.html
http___dx.doi.org_10.1007_978-3-030-16692-2_28 http://dx.doi.org/10.1007/978-3-030-16692-2_28
Asonitis:2023:GPEM SonOpt: understanding the behaviour of bi-objective population-based optimisation algorithms through sound
TasosAsonitis.html
RichardAllmendinger.html
MattBenatan.html
RicardoCliment.html
https___rdcu.be_c7KTf https://rdcu.be/c7KTf
http___dx.doi.org_10.1007_s10710-023-09451-5 http://dx.doi.org/10.1007/s10710-023-09451-5
https___github.com_tasos-a_SonOpt-2.0 https://github.com/tasos-a/SonOpt-2.0
journals/swevo/AssimiJN17 Sizing and topology optimization of truss structures using genetic programming
HiradAssimi.html
AliJamali.html
NaderNariman-Zadeh.html
http___dx.doi.org_10.1016_j.swevo.2017.05.009 http://dx.doi.org/10.1016/j.swevo.2017.05.009
journals/eswa/AssimiJ18 A hybrid algorithm coupling genetic programming and Nelder-Mead for topology and size optimization of trusses with static and dynamic constraints
HiradAssimi.html
AliJamali.html
http___dx.doi.org_10.1016_j.eswa.2017.11.035 http://dx.doi.org/10.1016/j.eswa.2017.11.035
assimi:NCaA Multi-objective sizing and topology optimization of truss structures using genetic programming based on a new adaptive mutant operator
HiradAssimi.html
AliJamali.html
NaderNariman-Zadeh.html
http___link.springer.com_article_10.1007_s00521-018-3401-9 http://link.springer.com/article/10.1007/s00521-018-3401-9
http___dx.doi.org_10.1007_s00521-018-3401-9 http://dx.doi.org/10.1007/s00521-018-3401-9
Assis:2014:CICS A genetic programming approach for fraud detection in electronic transactions
CarlosASdeAssis.html
AdrianoCMachadoPereira.html
MarconideArrudaPereira.html
EduardoGontijoCarrano.html
http___dx.doi.org_10.1109_CICYBS.2014.7013373 http://dx.doi.org/10.1109/CICYBS.2014.7013373
Assuncao:2017:CEC Automatic generation of neural networks with structured Grammatical Evolution
FilipeAssuncao.html
NunoLourenco.html
PenousalMachado.html
BernardeteRibeiro.html
http___dx.doi.org_10.1109_CEC.2017.7969488 http://dx.doi.org/10.1109/CEC.2017.7969488
Assuncao:2017:GECCO Towards the Evolution of Multi-layered Neural Networks: A Dynamic Structured Grammatical Evolution Approach
FilipeAssuncao.html
NunoLourenco.html
PenousalMachado.html
BernardeteRibeiro.html
http___doi.acm.org_10.1145_3071178.3071286 http://doi.acm.org/10.1145/3071178.3071286
http___dx.doi.org_10.1145_3071178.3071286 http://dx.doi.org/10.1145/3071178.3071286
Assuncao:2018:EuroGP Using GP is NEAT: Evolving Compositional Pattern Production Functions
FilipeAssuncao.html
NunoLourenco.html
PenousalMachado.html
BernardeteRibeiro.html
http___dx.doi.org_10.1007_978-3-319-77553-1_1 http://dx.doi.org/10.1007/978-3-319-77553-1_1
Assuncao:2018:EuroGPa Evolving the Topology of Large Scale Deep Neural Networks
FilipeAssuncao.html
NunoLourenco.html
PenousalMachado.html
BernardeteRibeiro.html
http___www.human-competitive.org_sites_default_files_assuncao-paper-a.pdf http://www.human-competitive.org/sites/default/files/assuncao-paper-a.pdf
http___dx.doi.org_10.1007_978-3-319-77553-1_2 http://dx.doi.org/10.1007/978-3-319-77553-1_2
DBLP:journals/corr/abs-1801-01563 DENSER: Deep Evolutionary Network Structured Representation
FilipeAssuncao.html
NunoLourenco.html
PenousalMachado.html
BernardeteRibeiro.html
http___www.human-competitive.org_sites_default_files_assuncao-paper-b_0.pdf http://www.human-competitive.org/sites/default/files/assuncao-paper-b_0.pdf
http___arxiv.org_abs_1801.01563 http://arxiv.org/abs/1801.01563
Assuncao:2019:EuroGP Fast DENSER: Efficient Deep NeuroEvolution
FilipeAssuncao.html
NunoLourenco.html
PenousalMachado.html
BernardeteRibeiro.html
https___www.springer.com_us_book_9783030166694 https://www.springer.com/us/book/9783030166694
http___dx.doi.org_10.1007_978-3-030-16670-0_13 http://dx.doi.org/10.1007/978-3-030-16670-0_13
Assuncao:2019:GPEM DENSER: deep evolutionary network structured representation
FilipeAssuncao.html
NunoLourenco.html
PenousalMachado.html
BernardeteRibeiro.html
https___arxiv.org_abs_1801.01563 https://arxiv.org/abs/1801.01563
http___dx.doi.org_10.1007_s10710-018-9339-y http://dx.doi.org/10.1007/s10710-018-9339-y
https___github.com_fillassuncao_denser-models https://github.com/fillassuncao/denser-models
assunccao2019automatic Automatic Design of Artificial Neural Networks for Gamma-Ray Detection
FilipeAssuncao.html
JoaoNunoGoncalvesCostaCavaleiroCorreia.html
RubenConceicao.html
MarioPimenta.html
BernardoTome.html
NunoLourenco.html
PenousalMachado.html
https___arxiv.org_abs_1905.03532 https://arxiv.org/abs/1905.03532
http___human-competitive.org_sites_default_files_f_denser_gamma_hadron.pdf http://human-competitive.org/sites/default/files/f_denser_gamma_hadron.pdf
Assuncao:2020:EuroGP Incremental Evolution and Development of Deep Artificial Neural Networks
FilipeAssuncao.html
NunoLourenco.html
BernardeteRibeiro.html
PenousalMachado.html
https___youtu.be_XuBDIgbpqZM https://youtu.be/XuBDIgbpqZM
http___dx.doi.org_10.1007_978-3-030-44094-7_3 http://dx.doi.org/10.1007/978-3-030-44094-7_3
Assuncao:2020:evoapplications Evolution of Scikit-Learn Pipelines with Dynamic Structured Grammatical Evolution
FilipeAssuncao.html
NunoLourenco.html
BernardeteRibeiro.html
PenousalMachado.html
https___www.youtube.com_watch_v_ZXG4MohPDXQ https://www.youtube.com/watch?v=ZXG4MohPDXQ
http___dx.doi.org_10.1007_978-3-030-43722-0_34 http://dx.doi.org/10.1007/978-3-030-43722-0_34
ASTERIS:2021:CBM Soft computing techniques for the prediction of concrete compressive strength using Non-Destructive tests
PanagiotisGAsteris.html
AthanasiaDSkentou.html
AbidhanBardhan.html
PijushSamui.html
PauloBLourenco.html
http___dx.doi.org_10.1016_j.conbuildmat.2021.124450 http://dx.doi.org/10.1016/j.conbuildmat.2021.124450
https___www.sciencedirect.com_science_article_pii_S0950061821022078 https://www.sciencedirect.com/science/article/pii/S0950061821022078
ASTERIS:2021:ES Soft computing-based models for the prediction of masonry compressive strength
PanagiotisGAsteris.html
PauloBLourenco.html
MohsenHajihassani.html
Chrissy-ElpidaNAdami.html
MinasELemonis.html
AthanasiaDSkentou.html
RuiMarques.html
HoangNguyen.html
HugoRodrigues.html
HumbertoVarum.html
http___dx.doi.org_10.1016_j.engstruct.2021.113276 http://dx.doi.org/10.1016/j.engstruct.2021.113276
https___www.sciencedirect.com_science_article_pii_S0141029621013997 https://www.sciencedirect.com/science/article/pii/S0141029621013997
ASTERIS:2021:TG Soft computing based closed form equations correlating L and N-type Schmidt hammer rebound numbers of rocks
PanagiotisGAsteris.html
AnnaMamou.html
MohsenHajihassani.html
MahdiHasanipanah.html
MohammadrezaKoopialipoor.html
Tien-ThinhLe.html
Mohammadnavid_Navid_Kardani.html
DanialJahedArmaghani.html
http___dx.doi.org_10.1016_j.trgeo.2021.100588 http://dx.doi.org/10.1016/j.trgeo.2021.100588
https___www.sciencedirect.com_science_article_pii_S2214391221000787 https://www.sciencedirect.com/science/article/pii/S2214391221000787
Athapaththu:2020:ICAC Supply and Demand Planning for Water: A Sustainable Water Management System
AMHNAthapaththu.html
DUSIlleperumarachchi.html
HMKUHerath.html
HKJayasinghe.html
WindhyaRankothge.html
NarmadhaGamage.html
http___dx.doi.org_10.1109_ICAC51239.2020.9357256 http://dx.doi.org/10.1109/ICAC51239.2020.9357256
journals/aai/AticiE17 Applied Genetic Programming for Predicting Specific Cutting Energy for Cutting Natural Stones
UmitAtici.html
AdemErsoy.html
http___dx.doi.org_10.1080_08839514.2017.1378140 http://dx.doi.org/10.1080/08839514.2017.1378140
Atiencia-Villagomez:2012:ICIEA The network operator method for synthesis of intelligent control system
JoseMiguelAtienciaVillagomez.html
AskhatDiveevIbraghimovich.html
ElenaASofronova.html
http___dx.doi.org_10.1109_ICIEA.2012.6360718 http://dx.doi.org/10.1109/ICIEA.2012.6360718
Atiquzzaman:2016:IJHST Prediction of inflows from dam catchment using genetic programming
MdAtiquzzaman.html
JayaKandasamy.html
http___www.inderscience.com_link.php_id_75560 http://www.inderscience.com/link.php?id=75560
http___dx.doi.org_10.1504_IJHST.2016.075560 http://dx.doi.org/10.1504/IJHST.2016.075560
ATIQUZZAMAN:2018:CG Robustness of Extreme Learning Machine in the prediction of hydrological flow series
MdAtiquzzaman.html
JayaKandasamy.html
http___www.sciencedirect.com_science_article_pii_S0098300417304867 http://www.sciencedirect.com/science/article/pii/S0098300417304867
http___dx.doi.org_10.1016_j.cageo.2018.08.003 http://dx.doi.org/10.1016/j.cageo.2018.08.003
http___www.sciencedirect.com_science_article_pii_S0098300417304867 http://www.sciencedirect.com/science/article/pii/S0098300417304867
Atkin:1993:GPLAMS Genetic programming to learn an agent's monitoring strategy
MarcSAtkin.html
PaulRCohen.html
http___www.aaai.org_Papers_Workshops_1993_WS-93-06_WS93-06-009.pdf http://www.aaai.org/Papers/Workshops/1993/WS-93-06/WS93-06-009.pdf
http___www.aaai.org_Library_Workshops_ws93-06.php http://www.aaai.org/Library/Workshops/ws93-06.php
Atkin:1993:GPLAMSa Genetic programming to learn an agent's monitoring strategy
MarcSAtkin.html
PaulRCohen.html
http___www-eksl.cs.umass.edu_papers_93-26.ps http://www-eksl.cs.umass.edu/papers/93-26.ps
Atkin:1994:LMSDGP Learning monitoring strategies: A difficult genetic programming application
MarcSAtkin.html
PaulRCohen.html
http___www-eksl.cs.umass.edu_papers_AtkinIEEE.pdf http://www-eksl.cs.umass.edu/papers/AtkinIEEE.pdf
http___citeseer.ist.psu.edu_94049.html http://citeseer.ist.psu.edu/94049.html
http___dx.doi.org_10.1109_ICEC.1994.349931 http://dx.doi.org/10.1109/ICEC.1994.349931
atkin:1995:mea Monitoring in Embedded Agents
MarcSAtkin.html
PaulRCohen.html
http___www-eksl.cs.umass.edu_papers_ijcai95-msa_95-66.pdf http://www-eksl.cs.umass.edu/papers/ijcai95-msa_95-66.pdf
atkin:1995:AB Monitoring Strategies for Embedded Agents: Experiments and Analysis
MarcSAtkin.html
PaulRCohen.html
http___www-eksl.cs.umass.edu_papers_atkin96.pdf http://www-eksl.cs.umass.edu/papers/atkin96.pdf
Atkins:2010:cec Evolution of aesthetically pleasing images without human-in-the-loop
DanielLAtkins.html
RomanKlapaukh.html
WillNBrowne.html
MengjieZhang.html
http___dx.doi.org_10.1109_CEC.2010.5586283 http://dx.doi.org/10.1109/CEC.2010.5586283
Atkins:2011:ADIGPAtAFEfIC A Domain Independent Genetic Programming Approach to Automatic Feature Extraction for Image Classification
DanielLAtkins.html
KouroshNeshatian.html
MengjieZhang.html
http___dx.doi.org_10.1109_CEC.2011.5949624 http://dx.doi.org/10.1109/CEC.2011.5949624
Atkins:1998:space Applying Space Technology to Enhance Control of an Artificial Arm for Children and Adults with Amputations
DianeJAtkins.html
http___hdl.handle.net_2060_19990025668 http://hdl.handle.net/2060/19990025668
http___ntrs.nasa.gov_archive_nasa_casi.ntrs.nasa.gov_19990025668.pdf http://ntrs.nasa.gov/archive/nasa/casi.ntrs.nasa.gov/19990025668.pdf
Atkinson:2018:EuroGP Evolving Graphs by Graph Programming
TimothyAtkinson.html
DetlefPlump.html
SusanStepney.html
http___eprints.whiterose.ac.uk_126500_1_AtkinsonPlumpStepney.EuroGP.18.pdf http://eprints.whiterose.ac.uk/126500/1/AtkinsonPlumpStepney.EuroGP.18.pdf
http___dx.doi.org_10.1007_978-3-319-77553-1_3 http://dx.doi.org/10.1007/978-3-319-77553-1_3
DBLP:journals/corr/abs-1810-10453 Semantic Neutral Drift
TimothyAtkinson.html
DetlefPlump.html
SusanStepney.html
https___dblp.org_rec_bib_journals_corr_abs-1810-10453 https://dblp.org/rec/bib/journals/corr/abs-1810-10453
http___arxiv.org_abs_1810.10453 http://arxiv.org/abs/1810.10453
Atkinson:2019:EuroGP Quantum Program Synthesis: Swarm Algorithms and Benchmarks
TimothyAtkinson.html
JohnHDrake.html
AthenaKarsa.html
JerrySwan.html
https___www.springer.com_us_book_9783030166694 https://www.springer.com/us/book/9783030166694
http___dx.doi.org_10.1007_978-3-030-16670-0_2 http://dx.doi.org/10.1007/978-3-030-16670-0_2
Atkinson:2019:GECCO Evolving graphs with horizontal gene transfer
TimothyAtkinson.html
DetlefPlump.html
SusanStepney.html
http___dx.doi.org_10.1145_3321707.3321788 http://dx.doi.org/10.1145/3321707.3321788
Atkinson:GPEM:H2019 Horizontal gene transfer for recombining graphs
TimothyAtkinson.html
DetlefPlump.html
SusanStepney.html
http___dx.doi.org_10.1007_s10710-020-09378-1 http://dx.doi.org/10.1007/s10710-020-09378-1
Atkinson:thesis Evolving Graphs by Graph Programming
TimothyAtkinson.html
https___ethos.bl.uk_OrderDetails.do_uin_uk.bl.ethos.803685 https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.803685
http___etheses.whiterose.ac.uk_26524_ http://etheses.whiterose.ac.uk/26524/
http___etheses.whiterose.ac.uk_26524_1_thesis_whiterose.pdf http://etheses.whiterose.ac.uk/26524/1/thesis_whiterose.pdf
atlan:1994:gpjss Learning Distributed Reactive Strategies by Genetic Programming for the General Job Shop Problem
LaurentAtlan.html
JeromeBonnet.html
MartineNaillon.html
ftp___ftp.ens.fr_pub_reports_biologie_disgajsp.ps.Z ftp://ftp.ens.fr/pub/reports/biologie/disgajsp.ps.Z
Atmosukarto:2010:UGP:1904935.1906046 The Use of Genetic Programming for Learning 3D Craniofacial Shape Quantifications
IndriyatiAtmosukarto.html
LindaGShapiro.html
CarrieHeike.html
http___www.cs.washington.edu_research_VACE_Multimedia_icpr10_Atmosukarto.pdf http://www.cs.washington.edu/research/VACE/Multimedia/icpr10_Atmosukarto.pdf
http___grail.cs.washington.edu_pub_papers_atmosukarto2010uog.pdf http://grail.cs.washington.edu/pub/papers/atmosukarto2010uog.pdf
http___dx.doi.org_10.1109_ICPR.2010.598 http://dx.doi.org/10.1109/ICPR.2010.598
AtmosukartoPhd 3D Shape Analysis for Quantification, Classification, and Retrieval
IndriyatiAtmosukarto.html
http___grail.cs.washington.edu_theses_AtmosukartoPhd.pdf http://grail.cs.washington.edu/theses/AtmosukartoPhd.pdf
Atmosukarto:2011:GPEM GPLAB: software review
IndriyatiAtmosukarto.html
http___dx.doi.org_10.1007_s10710-011-9142-5 http://dx.doi.org/10.1007/s10710-011-9142-5
Atwater:2012:GECCO GP under streaming data constraints: a case for pareto archiving?
AaronAtwater.html
MalcolmHeywood.html
NurZincir-Heywood.html
http___dx.doi.org_10.1145_2330163.2330262 http://dx.doi.org/10.1145/2330163.2330262
Atwater:2013:GECCO Benchmarking Pareto archiving heuristics in the presence of concept drift: diversity versus age
AaronAtwater.html
MalcolmHeywood.html
http___dx.doi.org_10.1145_2463372.2463489 http://dx.doi.org/10.1145/2463372.2463489
Auerbach:2014:ALIFE RoboGen: Robot Generation through Artificial Evolution
JoshuaEAuerbach.html
DenizAydin.html
AndreaMaesani.html
PrzemyslawMKornatowski.html
TitusCieslewski.html
GregoireHeitz.html
PradeepRFernando.html
IlyaLoshchilov.html
LudovicDaler.html
DarioFloreano.html
http___mitpress.mit.edu_sites_default_files_titles_content_alife14_ch022.html http://mitpress.mit.edu/sites/default/files/titles/content/alife14/ch022.html
http___dx.doi.org_10.7551_978-0-262-32621-6-ch022 http://dx.doi.org/10.7551/978-0-262-32621-6-ch022
sbrn2000meta029 Symbolic Regression via Genetic Programming
DouglasAAugusto.html
HelioJCBarbosa.html
http___dx.doi.org_10.1109_SBRN.2000.889734 http://dx.doi.org/10.1109/SBRN.2000.889734
Augusto:2008:gecco Coevolution of data samples and classifiers integrated with grammatically-based genetic programming for data classification
DouglasAAugusto.html
HelioJCBarbosa.html
NelsonFFEbecken.html
http___gpbib.cs.ucl.ac.uk_gecco2008_docs_p1171.pdf http://gpbib.cs.ucl.ac.uk/gecco2008/docs/p1171.pdf
http___dx.doi.org_10.1145_1389095.1389328 http://dx.doi.org/10.1145/1389095.1389328
Augusto:2010:gecco Coevolutionary multi-population genetic programming for data classification
DouglasAAugusto.html
HelioJCBarbosa.html
NelsonFFEbecken.html
http___dx.doi.org_10.1145_1830483.1830650 http://dx.doi.org/10.1145/1830483.1830650
Augusto:2011:GECCOcomp A new approach for generating numerical constants in grammatical evolution
DouglasAAugusto.html
HelioJCBarbosa.html
AndredaMottaSallesBarreto.html
HederSoaresBernardino.html
http___dx.doi.org_10.1145_2001858.2001966 http://dx.doi.org/10.1145/2001858.2001966
Augusto:2011:EPIA Evolving Numerical Constants in Grammatical Evolution with the Ephemeral Constant Method
DouglasAAugusto.html
HelioJCBarbosa.html
AndredaMottaSallesBarreto.html
HederSoaresBernardino.html
http___dx.doi.org_10.1007_978-3-642-24769-9_9 http://dx.doi.org/10.1007/978-3-642-24769-9_9
Augusto2012 Accelerated parallel genetic programming tree evaluation with OpenCL
DouglasAAugusto.html
HelioJCBarbosa.html
http___dx.doi.org_10.1016_j.jpdc.2012.01.012 http://dx.doi.org/10.1016/j.jpdc.2012.01.012
http___www.sciencedirect.com_science_article_pii_S074373151200024X http://www.sciencedirect.com/science/article/pii/S074373151200024X
Augusto:2012:GPnew Parallel Genetic Programming on Graphics Processing Units
DouglasAAugusto.html
HederSoaresBernardino.html
HelioJCBarbosa.html
http___dx.doi.org_10.5772_48364 http://dx.doi.org/10.5772/48364
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.374.745 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.374.745
Augusto:2013:GECCOcomp Improving recruitment effectiveness using genetic programming techniques
DouglasAAugusto.html
HederSoaresBernardino.html
HelioJCBarbosa.html
http___dx.doi.org_10.1145_2464576.2464673 http://dx.doi.org/10.1145/2464576.2464673
Augusto:2013:CCI.CBIC Predicting the Performance of Job Applicants by Means of Genetic Programming
DouglasAAugusto.html
HederSoaresBernardino.html
HelioJCBarbosa.html
http___dx.doi.org_10.1109_BRICS-CCI-CBIC.2013.27 http://dx.doi.org/10.1109/BRICS-CCI-CBIC.2013.27
Augustoetal2013 Programa\cc\~ao Gen\'etica
DouglasAAugusto.html
HederSoaresBernardino.html
HelioJCBarbosa.html
http___omnipax.com.br_site__page_id_387 http://omnipax.com.br/site/?page_id=387
http___dx.doi.org_10.7436_2013.mhpo.05 http://dx.doi.org/10.7436/2013.mhpo.05
Augustsson:2002:gecco Creation Of A Learning, Flying Robot By Means Of Evolution
PeterAugustsson.html
KristerWolff.html
PeterNordin.html
http___fy.chalmers.se__wolff_Papers_ANW_gecco02.pdf http://fy.chalmers.se/~wolff/Papers/ANW_gecco02.pdf
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_gecco2002_gecco-2002-22.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/gecco2002/gecco-2002-22.pdf
http___gpbib.cs.ucl.ac.uk_gecco2002_ROB196.ps http://gpbib.cs.ucl.ac.uk/gecco2002/ROB196.ps
http___gpbib.cs.ucl.ac.uk_gecco2002_ROB196.pdf http://gpbib.cs.ucl.ac.uk/gecco2002/ROB196.pdf
aurnhammer:evows07 Evolving Texture Features by Genetic Programming
MelanieAurnhammer.html
http___dx.doi.org_10.1007_978-3-540-71805-5_38 http://dx.doi.org/10.1007/978-3-540-71805-5_38
austin:2003:WP Adaptive systems for foreign exchange trading
MarkPAustin.html
GrahamBates.html
MichaelDempster.html
StacyNWilliams.html
http___mahd-pc.jbs.cam.ac.uk_archive_PAPERS_WP1503.pdf http://mahd-pc.jbs.cam.ac.uk/archive/PAPERS/WP1503.pdf
Austin:2004:E Adaptive systems for foreign exchange trading
MarkPAustin.html
GrahamBates.html
MichaelDempster.html
StacyNWilliams.html
http___mahd-pc.jbs.cam.ac.uk_archive_PAPERS_adaptive.pdf http://mahd-pc.jbs.cam.ac.uk/archive/PAPERS/adaptive.pdf
Austin:2004:QF Adaptive systems for foreign exchange trading
MarkPAustin.html
GrahamBates.html
MichaelDempster.html
VascoLeemans.html
StacyNWilliams.html
http___www-cfr.jbs.cam.ac.uk_archive_PRESENTATIONS_seminars_2006_dempster2.pdf http://www-cfr.jbs.cam.ac.uk/archive/PRESENTATIONS/seminars/2006/dempster2.pdf
http___dx.doi.org_10.1080_14697680400008593 http://dx.doi.org/10.1080/14697680400008593
autones:2004:eurogp Evaluation of chess position by modular neural network generated by genetic algorithm
MathieuAutones.html
AryelBeck.html
PhillippeCamacho.html
NicolasLassabe.html
HerveLuga.html
FranccoisScharffe.html
http___dx.doi.org_10.1007_978-3-540-24650-3_1 http://dx.doi.org/10.1007/978-3-540-24650-3_1
Aversano:2005:WSEC A genetic programming approach to support the design of service compositions
LerinaAversano.html
MassimilianoDiPenta.html
KunalTaneja.html
http___domino.research.ibm.com_library_cyberdig.nsf_papers_DE71563B7B69D362852570D000548D0D__File_rc23821.pdf http://domino.research.ibm.com/library/cyberdig.nsf/papers/DE71563B7B69D362852570D000548D0D/$File/rc23821.pdf
Aversano:2006:IJCSSE A genetic programming approach to support the design of service compositions
LerinaAversano.html
MassimilianoDiPenta.html
KunalTaneja.html
http___www.rcost.unisannio.it_mdipenta_papers_csse06.pdf http://www.rcost.unisannio.it/mdipenta/papers/csse06.pdf
conf/hais/AvilaGV09 Multi-label Classification with Gene Expression Programming
JoseLuisAvila-Jimenez.html
EvaLGibaja.html
SebastianVentura.html
http___dx.doi.org_10.1007_978-3-642-02319-4 http://dx.doi.org/10.1007/978-3-642-02319-4
http___dx.doi.org_10.1007_978-3-642-02319-4_76 http://dx.doi.org/10.1007/978-3-642-02319-4_76
Avila-Jimenez:2010:HAIS Evolving Multi-label Classification Rules with Gene Expression Programming: A Preliminary Study
JoseLuisAvila-Jimenez.html
EvaLGibaja.html
SebastianVentura.html
http___dx.doi.org_10.1007_978-3-642-13803-4_2 http://dx.doi.org/10.1007/978-3-642-13803-4_2
journals/mvl/Avila-JimenezGZV11 A Gene Expression Programming Algorithm for Multi-Label Classification
JoseLuisAvila-Jimenez.html
EvaLGibaja.html
AmeliaZafraGomez.html
SebastianVentura.html
http___www.oldcitypublishing.com_journals_mvlsc-home_mvlsc-issue-contents_mvlsc-volume-17-number-2-3-2011_mvlsc-17-2-3-p-183-206_ http://www.oldcitypublishing.com/journals/mvlsc-home/mvlsc-issue-contents/mvlsc-volume-17-number-2-3-2011/mvlsc-17-2-3-p-183-206/
Avila-Jimenez:thesis Genetic Programing for multi-label classification
JoseLuisAvila-Jimenez.html
http___www.uco.es_grupos_kdis_docs_thesis_2013-JLAvila.pdf http://www.uco.es/grupos/kdis/docs/thesis/2013-JLAvila.pdf
https___dialnet.unirioja.es_servlet_tesis_codigo_70284 https://dialnet.unirioja.es/servlet/tesis?codigo=70284
conf/lion/Awad11 Designing Stream Cipher Systems Using Genetic Programming
WasanShakerAwadHemoud.html
http___dx.doi.org_10.1007_978-3-642-25566-3_23 http://dx.doi.org/10.1007/978-3-642-25566-3_23
Awange2016 Symbolic Regression
JosephLAwange.html
BelaPalancz.html
http___dx.doi.org_10.1007_978-3-319-25465-4_11 http://dx.doi.org/10.1007/978-3-319-25465-4_11
AWOYERA:2020:JMRT Estimating strength properties of geopolymer self-compacting concrete using machine learning techniques
PaulOAwoyera.html
MehmetSKirgiz.html
AmelecViloria.html
DOvallos-Gazabon.html
http___dx.doi.org_10.1016_j.jmrt.2020.06.008 http://dx.doi.org/10.1016/j.jmrt.2020.06.008
http___www.sciencedirect.com_science_article_pii_S2238785420314095 http://www.sciencedirect.com/science/article/pii/S2238785420314095
Awuley:2016:CEC Feature Selection and Classification Using Age Layered Population Structure Genetic Programming
AnthonyAwuley.html
BrianJRoss.html
http___dx.doi.org_10.1109_CEC.2016.7744088 http://dx.doi.org/10.1109/CEC.2016.7744088
Aydogan:mastersthesis Automatic Generation of Mobile Malwares Using Genetic Programming
EmreAydogan.html
https___web.cs.hacettepe.edu.tr__ssen_files_thesis_EmreTez.pdf https://web.cs.hacettepe.edu.tr/~ssen/files/thesis/EmreTez.pdf
Aydogan:2015:evoApplications Automatic Generation of Mobile Malwares Using Genetic Programming
EmreAydogan.html
SevilSen.html
http___web.cs.hacettepe.edu.tr__ssen_files_papers_EvoStar15.pdf http://web.cs.hacettepe.edu.tr/~ssen/files/papers/EvoStar15.pdf
http___dx.doi.org_10.1007_978-3-319-16549-3_60 http://dx.doi.org/10.1007/978-3-319-16549-3_60
Aydogan:2019:WFCS A Central Intrusion Detection System for RPL-Based Industrial Internet of Things
EmreAydogan.html
SelimYilmaz.html
SevilSen.html
IButun.html
SForsstroem.html
MGidlund.html
http___dx.doi.org_10.1109_WFCS.2019.8758024 http://dx.doi.org/10.1109/WFCS.2019.8758024
AYDOGAN:2023:istruc Prediction of moment redistribution capacity in reinforced concrete beams using gene expression programming
MehmetSafaAydogan.html
SemaAlacali.html
GurayArslan.html
http___dx.doi.org_10.1016_j.istruc.2022.12.054 http://dx.doi.org/10.1016/j.istruc.2022.12.054
https___www.sciencedirect.com_science_article_pii_S2352012422012425 https://www.sciencedirect.com/science/article/pii/S2352012422012425
Ayerdi:2021:FSE-IND Generating Metamorphic Relations for Cyber-Physical Systems with Genetic Programming: An Industrial Case Study
JonAyerdi.html
ValerioTerragni.html
AitorArrieta.html
PaoloTonella.html
GoiuriaSagarduiMendieta.html
MaiteArratibel.html
https___www.conference-publishing.com_list.php_Event_FSE21_Full_noabs https://www.conference-publishing.com/list.php?Event=FSE21&Full=noabs
http___dx.doi.org_10.1145_3468264.3473920 http://dx.doi.org/10.1145/3468264.3473920
journals/peerjpre/AyralA17 Parallel and in-process compilation of individuals for genetic programming on GPU
HakanAyral.html
SongulVarliAlbayrak.html
http___dx.doi.org_10.7287_peerj.preprints.2936v1 http://dx.doi.org/10.7287/peerj.preprints.2936v1
journals/jsw/AyralA17 Effects of Population, Generation and Test Case Count on Grammatical Genetic Programming for Integer Lists
HakanAyral.html
SongulVarliAlbayrak.html
http___dx.doi.org_10.17706_jsw.12.6.483-492 http://dx.doi.org/10.17706/jsw.12.6.483-492
Aytek:2008:JH A genetic programming approach to suspended sediment modelling
AliAytek.html
OzgurKisi.html
http___dx.doi.org_10.1016_j.jhydrol.2007.12.005 http://dx.doi.org/10.1016/j.jhydrol.2007.12.005
Aytek:2008:JESS An application of artificial intelligence for rainfall-runoff modeling
AliAytek.html
MAsce.html
MuratAlp.html
http___www.ias.ac.in_jess_apr2008_d093.pdf http://www.ias.ac.in/jess/apr2008/d093.pdf
aytekin:1995:4-OPmap An application of genetic programming to the 4-OP problem using map-trees
TevfikAytekin.html
ErkanKorkmaz.html
HalilAltayGuvennir.html
http___www.cs.bilkent.edu.tr_tech-reports_1994_BU-CEIS-9441.ps.z http://www.cs.bilkent.edu.tr/tech-reports/1994/BU-CEIS-9441.ps.z
http___citeseer.ist.psu.edu_16240.html http://citeseer.ist.psu.edu/16240.html
http___dx.doi.org_10.1007_3-540-60154-6_45 http://dx.doi.org/10.1007/3-540-60154-6_45
azad:2002:gecco A Re-examination Of The Cart Centering Problem Using The Chorus System
RMuhammadAtifAzad.html
ConorRyan.html
MarkEBurke.html
AliRazaAnsari.html
http___gpbib.cs.ucl.ac.uk_gecco2002_GP144.ps http://gpbib.cs.ucl.ac.uk/gecco2002/GP144.ps
http___gpbib.cs.ucl.ac.uk_gecco2002_GP144.pdf http://gpbib.cs.ucl.ac.uk/gecco2002/GP144.pdf
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_gecco2002_gecco-2002-14.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/gecco2002/gecco-2002-14.pdf
azad:2002:gecco:workshop A Position Independent Evolutionary Automatic Programming Algorithm - The Chorus System
RMuhammadAtifAzad.html
azad:2003:gecco Structural Emergence with Order Independent Representations
RMuhammadAtifAzad.html
ConorRyan.html
http___dx.doi.org_10.1007_3-540-45110-2_57 http://dx.doi.org/10.1007/3-540-45110-2_57
Azad:thesis A Position Independent Representation for Evolutionary Automatic Programming Algorithms - The Chorus System
RMuhammadAtifAzad.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_azad_thesis.ps.gz http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/azad_thesis.ps.gz
Azad:2004:ASC An evolutionary approach to Wall Sheer Stress prediction in a grafted artery
RMuhammadAtifAzad.html
AliRazaAnsari.html
ConorRyan.html
MichaelWalsh.html
TimMcGloughlin.html
http___dx.doi.org_10.1016_j.asoc.2003.11.001 http://dx.doi.org/10.1016/j.asoc.2003.11.001
azad:2005:GPTP An Examination of Simultaneous Evolution of Grammars and Solutions
RMuhammadAtifAzad.html
ConorRyan.html
http___dx.doi.org_10.1007_0-387-28111-8_10 http://dx.doi.org/10.1007/0-387-28111-8_10
Azad:2008:geccocomp Gecco 2008 grammatical evolution tutorial
RMuhammadAtifAzad.html
ConorRyan.html
http___gpbib.cs.ucl.ac.uk_gecco2008_docs_p2339.pdf http://gpbib.cs.ucl.ac.uk/gecco2008/docs/p2339.pdf
http___dx.doi.org_10.1145_1388969.1389058 http://dx.doi.org/10.1145/1388969.1389058
Azad:2010:gecco Abstract functions and lifetime learning in genetic programming for symbolic regression
RMuhammadAtifAzad.html
ConorRyan.html
http___dx.doi.org_10.1145_1830483.1830645 http://dx.doi.org/10.1145/1830483.1830645
Azad:2011:GECCO Variance based selection to improve test set performance in genetic programming
RMuhammadAtifAzad.html
ConorRyan.html
http___dx.doi.org_10.1145_2001576.2001754 http://dx.doi.org/10.1145/2001576.2001754
azad:2014:EuroGP The Best Things Don't Always Come in Small Packages: Constant Creation in Grammatical Evolution
RMuhammadAtifAzad.html
ConorRyan.html
http___dx.doi.org_10.1007_978-3-662-44303-3_16 http://dx.doi.org/10.1007/978-3-662-44303-3_16
Azad:2014:EC A Simple Approach to Lifetime Learning in Genetic Programming based Symbolic Regression
RMuhammadAtifAzad.html
ConorRyan.html
http___www.mitpressjournals.org_doi_abs_10.1162_EVCO_a_00111 http://www.mitpressjournals.org/doi/abs/10.1162/EVCO_a_00111
http___dx.doi.org_10.1162_EVCO_a_00111 http://dx.doi.org/10.1162/EVCO_a_00111
Azad:2014:NaBIC Efficient Approaches to Interleaved Sampling of training data for Symbolic Regression
RMuhammadAtifAzad.html
DavidMedernach.html
ConorRyan.html
http___dx.doi.org_10.1109_NaBIC.2014.6921874 http://dx.doi.org/10.1109/NaBIC.2014.6921874
Azad:2014:GECCOcomp Efficient interleaved sampling of training data in genetic programming
RMuhammadAtifAzad.html
DavidMedernach.html
ConorRyan.html
http___doi.acm.org_10.1145_2598394.2598480 http://doi.acm.org/10.1145/2598394.2598480
http___dx.doi.org_10.1145_2598394.2598480 http://dx.doi.org/10.1145/2598394.2598480
Azad:2017:GPEM Krzysztof Krawiec: Behavioral program synthesis with genetic programming
RMuhammadAtifAzad.html
http___dx.doi.org_10.1007_s10710-016-9283-7 http://dx.doi.org/10.1007/s10710-016-9283-7
Azad:2018:hbge Comparing Methods to Creating Constants in Grammatical Evolution
RMuhammadAtifAzad.html
ConorRyan.html
http___dx.doi.org_10.1007_978-3-319-78717-6_10 http://dx.doi.org/10.1007/978-3-319-78717-6_10
azam:1998:dsi:cs Dynamic Systems Identification: A Comparitive Study
FarooqAzam.html
HFVanLandingham.html
azam:1998:dsiGP Dynamic Systems Identification using Genetic Programming
FarooqAzam.html
HFVanLandingham.html
MDAZAMATHULLA2008477 Genetic programming to predict ski-jump bucket spill-way scour
HaziMohammadAzamathulla.html
AminuddinAbGhani.html
NorAzaziZakaria.html
SaiHinLai.html
ChunKiatChang.html
ChengSiangLeow.html
ZorkefleeAbuHasan.html
http___dx.doi.org_10.1016_S1001-6058_08_60083-9 http://dx.doi.org/10.1016/S1001-6058(08)60083-9
http___www.sciencedirect.com_science_article_B8CX5-4TCY8GV-B_2_f3004ab0cd7ed153a22b7f5d637afc89 http://www.sciencedirect.com/science/article/B8CX5-4TCY8GV-B/2/f3004ab0cd7ed153a22b7f5d637afc89
Azamathulla:2010:JHE Genetic Programming to Predict Bridge Pier Scour
HaziMohammadAzamathulla.html
AminuddinAbGhani.html
NorAzaziZakaria.html
AytacGuven.html
http___dx.doi.org_10.1061__ASCE_HY.1943-7900.0000133 http://dx.doi.org/10.1061/(ASCE)HY.1943-7900.0000133
Azamathulla2011 Linear genetic programming to scour below submerged pipeline
HaziMohammadAzamathulla.html
AytacGuven.html
YusufKaganDemir.html
http___dx.doi.org_10.1016_j.oceaneng.2011.03.005 http://dx.doi.org/10.1016/j.oceaneng.2011.03.005
http___www.sciencedirect.com_science_article_B6V4F-52M3TGW-1_2_279184e6554e6b6977d8b9f0180c9f53 http://www.sciencedirect.com/science/article/B6V4F-52M3TGW-1/2/279184e6554e6b6977d8b9f0180c9f53
azamathulla:2011:WRM Genetic Programming for Predicting Longitudinal Dispersion Coefficients in Streams
HaziMohammadAzamathulla.html
AminuddinAbGhani.html
http___link.springer.com_article_10.1007_s11269-010-9759-9 http://link.springer.com/article/10.1007/s11269-010-9759-9
http___dx.doi.org_10.1007_s11269-010-9759-9 http://dx.doi.org/10.1007/s11269-010-9759-9
Azamathulla:2012:JH GP approach for critical submergence of intakes in open channel flows
HaziMohammadAzamathulla.html
ZAhmad.html
http___www.iwaponline.com_jh_up_pdf_jh2012089.pdf http://www.iwaponline.com/jh/up/pdf/jh2012089.pdf
http___dx.doi.org_10.2166_hydro.2012.089 http://dx.doi.org/10.2166/hydro.2012.089
Azamathulla:2012a:JH Gene-expression programming to predict scour at a bridge abutment
HaziMohammadAzamathulla.html
http___www.iwaponline.com_jh_014_0324_0140324.pdf http://www.iwaponline.com/jh/014/0324/0140324.pdf
http___dx.doi.org_10.2166_hydro.2011.135 http://dx.doi.org/10.2166/hydro.2011.135
Azamathulla2012142 Gene-expression programming for transverse mixing coefficient
HaziMohammadAzamathulla.html
ZAhmad.html
http___dx.doi.org_10.1016_j.jhydrol.2012.02.018 http://dx.doi.org/10.1016/j.jhydrol.2012.02.018
http___www.sciencedirect.com_science_article_pii_S0022169412001187 http://www.sciencedirect.com/science/article/pii/S0022169412001187
Azamathulla2012203 Flow discharge prediction in compound channels using linear genetic programming
HaziMohammadAzamathulla.html
AbdulrezaZahiri.html
http___dx.doi.org_10.1016_j.jhydrol.2012.05.065 http://dx.doi.org/10.1016/j.jhydrol.2012.05.065
http___www.sciencedirect.com_science_article_pii_S0022169412004684 http://www.sciencedirect.com/science/article/pii/S0022169412004684
Azamathulla:2012b:JH Gene expression programming for prediction of scour depth downstream of sills
HaziMohammadAzamathulla.html
http___dx.doi.org_10.1016_j.jhydrol.2012.06.034 http://dx.doi.org/10.1016/j.jhydrol.2012.06.034
http___www.sciencedirect.com_science_article_pii_S0022169412005197_v_s5 http://www.sciencedirect.com/science/article/pii/S0022169412005197?v=s5
Azamathulla:2013:MWGTE A Review on Application of Soft Computing Methods in Water Resources Engineering
HaziMohammadAzamathulla.html
http___dx.doi.org_10.1016_B978-0-12-398296-4.00002-7 http://dx.doi.org/10.1016/B978-0-12-398296-4.00002-7
http___www.sciencedirect.com_science_article_pii_B9780123982964000027 http://www.sciencedirect.com/science/article/pii/B9780123982964000027
journals/nca/Azamathulla13 Gene-expression programming to predict friction factor for Southern Italian rivers
HaziMohammadAzamathulla.html
http___dx.doi.org_10.1007_s00521-012-1091-2 http://dx.doi.org/10.1007/s00521-012-1091-2
journals/nca/AzamathullaAG13 An expert system for predicting Manning's roughness coefficient in open channels by using gene expression programming
HaziMohammadAzamathulla.html
ZAhmad.html
AminuddinAbGhani.html
http___dx.doi.org_10.1007_s00521-012-1078-z http://dx.doi.org/10.1007/s00521-012-1078-z
azamathulla:2018:AWS Gene expression programming and artificial neural network to estimate atmospheric temperature in Tabuk, Saudi Arabia
HaziMohammadAzamathulla.html
UpakaRathnayake.html
AhmadShatnawi.html
http___link.springer.com_article_10.1007_s13201-018-0831-6 http://link.springer.com/article/10.1007/s13201-018-0831-6
http___dx.doi.org_10.1007_s13201-018-0831-6 http://dx.doi.org/10.1007/s13201-018-0831-6
Azaraien:2017:CADS Evolutionary architecture design for approximate DCT
AbbasAzaraien.html
BabakDjalaei.html
MostafaESalehi.html
http___dx.doi.org_10.1109_CADS.2017.8310731 http://dx.doi.org/10.1109/CADS.2017.8310731
Azarhoosh:2020:RMPD Nonlinear genetic-base models for prediction of fatigue life of modified asphalt mixtures by precipitated calcium carbonate
AlirezaRAzarhoosh.html
ZahraZojaji.html
FereidoonMoghaddasNejad.html
http___dx.doi.org_10.1080_14680629.2018.1513372 http://dx.doi.org/10.1080/14680629.2018.1513372
AZARHOOSH:2019:US Performance analysis of ultrasound-assisted synthesized nano-hierarchical SAPO-34 catalyst in the methanol-to-lights-olefins process via artificial intelligence methods
MohammadJavadAzarhoosh.html
RoueinHalladj.html
SimaAskari.html
AbbasAghaeinejad-Meybodi.html
http___dx.doi.org_10.1016_j.ultsonch.2019.104646 http://dx.doi.org/10.1016/j.ultsonch.2019.104646
http___www.sciencedirect.com_science_article_pii_S1350417719305103 http://www.sciencedirect.com/science/article/pii/S1350417719305103
azarhoosh:2020:AJSE Prediction of Marshall Mix Design Parameters in Flexible Pavements Using Genetic Programming
AlirezaRAzarhoosh.html
SalmanPouresmaeil.html
http___link.springer.com_article_10.1007_s13369-020-04776-0 http://link.springer.com/article/10.1007/s13369-020-04776-0
http___dx.doi.org_10.1007_s13369-020-04776-0 http://dx.doi.org/10.1007/s13369-020-04776-0
AZARI:2020:AR Predictive model of algal biofuel production based on experimental data
AryandokhtAzari.html
HosseinTavakoli.html
BrianDBarkdoll.html
OmidBozorgHaddad.html
http___dx.doi.org_10.1016_j.algal.2020.101843 http://dx.doi.org/10.1016/j.algal.2020.101843
http___www.sciencedirect.com_science_article_pii_S2211926419309087 http://www.sciencedirect.com/science/article/pii/S2211926419309087
Azari:2018:CEC Genetic Programming for Preprocessing Tandem Mass Spectra to Improve the Reliability of Peptide Identification
SamanehAzari.html
MengjieZhang.html
BingXue.html
LifengPeng.html
http___dx.doi.org_10.1109_CEC.2018.8477810 http://dx.doi.org/10.1109/CEC.2018.8477810
DBLP:conf/acpr/AzariXZP19 A Decomposition Based Multi-objective Genetic Programming Algorithm for Classification of Highly Imbalanced Tandem Mass Spectrometry
SamanehAzari.html
BingXue.html
MengjieZhang.html
LifengPeng.html
https___doi.org_10.1007_978-3-030-41299-9_35 https://doi.org/10.1007/978-3-030-41299-9_35
http___dx.doi.org_10.1007_978-3-030-41299-9_35 http://dx.doi.org/10.1007/978-3-030-41299-9_35
https___dblp.org_rec_conf_acpr_AzariXZP19.bib https://dblp.org/rec/conf/acpr/AzariXZP19.bib
DBLP:conf/pricai/Azari0ZP19 Improving the Results of De novo Peptide Identification via Tandem Mass Spectrometry Using a Genetic Programming-Based Scoring Function for Re-ranking Peptide-Spectrum Matches
SamanehAzari.html
BingXue.html
MengjieZhang.html
LifengPeng.html
https___doi.org_10.1007_978-3-030-29894-4_38 https://doi.org/10.1007/978-3-030-29894-4_38
http___dx.doi.org_10.1007_978-3-030-29894-4_38 http://dx.doi.org/10.1007/978-3-030-29894-4_38
http___arxiv.org_abs_1908.08010 http://arxiv.org/abs/1908.08010
https___dblp.org_rec_conf_pricai_Azari0ZP19.bib https://dblp.org/rec/conf/pricai/Azari0ZP19.bib
Azari:2019:CEC Learning to Rank Peptide-Spectrum Matches Using Genetic Programming
SamanehAzari.html
BingXue.html
MengjieZhang.html
LifengPeng.html
http___dx.doi.org_10.1109_CEC.2019.8790049 http://dx.doi.org/10.1109/CEC.2019.8790049
azari:2019:JASMS Preprocessing Tandem Mass Spectra Using Genetic Programming for Peptide Identification
SamanehAzari.html
BingXue.html
MengjieZhang.html
LifengPeng.html
http___link.springer.com_article_10.1007_s13361-019-02196-5 http://link.springer.com/article/10.1007/s13361-019-02196-5
http___dx.doi.org_10.1007_s13361-019-02196-5 http://dx.doi.org/10.1007/s13361-019-02196-5
Azari:thesis Evolutionary Algorithms for Improving De Novo Peptide Sequencing
SamanehAzari.html
http___hdl.handle.net_10063_8898 http://hdl.handle.net/10063/8898
https___researcharchive.vuw.ac.nz_xmlui_bitstream_handle_10063_8898_thesis_access.pdf https://researcharchive.vuw.ac.nz/xmlui/bitstream/handle/10063/8898/thesis_access.pdf
Azaria:2016:GPTP Evolving Artificial General Intelligence for Video Controllers
ItayAzaria.html
AchiyaElyasaf.html
MosheSipper.html
https___www.cs.bgu.ac.il__sipper_publications_Evolving_20Artificial_20General_20Intelligence.pdf https://www.cs.bgu.ac.il/~sipper/publications/Evolving%20Artificial%20General%20Intelligence.pdf
https___www.springer.com_us_book_9783319970875 https://www.springer.com/us/book/9783319970875
http___dx.doi.org_10.1007_978-3-319-97088-2_4 http://dx.doi.org/10.1007/978-3-319-97088-2_4
eurogp:AzariaS05 GP-Gammon: Using Genetic Programming to Evolve Backgammon Players
YanivAzaria.html
MosheSipper.html
http___dx.doi.org_10.1007_978-3-540-31989-4_12 http://dx.doi.org/10.1007/978-3-540-31989-4_12
http___dx.doi.org_10.1007_b107383 http://dx.doi.org/10.1007/b107383
azaria:2005:GPEM GP-Gammon: Genetically Programming Backgammon Players
YanivAzaria.html
MosheSipper.html
http___www.cs.bgu.ac.il__sipper_papabs_gpgammon.pdf http://www.cs.bgu.ac.il/~sipper/papabs/gpgammon.pdf
https___rdcu.be_c7iTQ https://rdcu.be/c7iTQ
http___dx.doi.org_10.1007_s10710-005-2990-0 http://dx.doi.org/10.1007/s10710-005-2990-0
Azevedo:2016:CSCI Genetic Programming in Geostatistical Reservoir Geophysics
LeonardoAzevedo.html
RubenNunes.html
AmilcarSoares.html
http___dx.doi.org_10.1109_CSCI.2016.0228 http://dx.doi.org/10.1109/CSCI.2016.0228
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FatemeAzimlu.html
ShahryarRahnamayan.html
MasoudMakrehchi.html
NaveenKalra.html
http___dx.doi.org_10.1109_ICCSE.2019.8845381 http://dx.doi.org/10.1109/ICCSE.2019.8845381
Azimlu:2021:RWACMO House Price Prediction Using Clustering and Genetic Programming along with Conducting a Comparative Study
FatemeAzimlu.html
ShahryarRahnamayan.html
MasoudMakrehchi.html
http___dx.doi.org_10.1145_3449726.3463141 http://dx.doi.org/10.1145/3449726.3463141
Aziz:2016:EuroGP Search-Based SQL Injection Attacks Testing using Genetic Programming
BenjaminAziz.html
MohamedBahyBader-El-Den.html
CeranaHippolyte.html
http___dx.doi.org_10.1007_978-3-319-30668-1_12 http://dx.doi.org/10.1007/978-3-319-30668-1_12
Azmi:2020:Morgeo Generate knowledge base from very high spatial resolution satellite image using robust classification rules and genetic programming
RidaAzmi.html
HichamAmar.html
AbderrahimNorelyaqine.html
http___dx.doi.org_10.1109_Morgeo49228.2020.9121914 http://dx.doi.org/10.1109/Morgeo49228.2020.9121914
Azzali:2019:EuroGP A Vectorial Approach to Genetic Programming
IreneAzzali.html
LeonardoVanneschi.html
SaraSilva.html
IllyaBakurov.html
MarioGiacobini.html
https___hdl.handle.net_2318_1725688 https://hdl.handle.net/2318/1725688
https___iris.unito.it_retrieve_e27ce42f-33ca-2581-e053-d805fe0acbaa_Azzali.pdf https://iris.unito.it/retrieve/e27ce42f-33ca-2581-e053-d805fe0acbaa/Azzali.pdf
https___www.springer.com_us_book_9783030166694 https://www.springer.com/us/book/9783030166694
http___dx.doi.org_10.1007_978-3-030-16670-0_14 http://dx.doi.org/10.1007/978-3-030-16670-0_14
Azzali:GPEM Towards the use of genetic programming in the ecological modelling of mosquito population dynamics
IreneAzzali.html
LeonardoVanneschi.html
AndreaMosca.html
LuigiBertolotti.html
MarioGiacobini.html
https___iris.unito.it_retrieve_handle_2318_1722575_562795_Manuscript.pdf https://iris.unito.it/retrieve/handle/2318/1722575/562795/Manuscript.pdf
https___rdcu.be_cQCew https://rdcu.be/cQCew
http___dx.doi.org_10.1007_s10710-019-09374-0 http://dx.doi.org/10.1007/s10710-019-09374-0
Azzali:2020:EuroGP Investigating the Use of Geometric Semantic Operators in Vectorial Genetic Programming
IreneAzzali.html
LeonardoVanneschi.html
MarioGiacobini.html
http___dx.doi.org_10.1007_978-3-030-44094-7_4 http://dx.doi.org/10.1007/978-3-030-44094-7_4
AZZALI:2020:ASC Towards the use of vector based GP to predict physiological time series
IreneAzzali.html
LeonardoVanneschi.html
IllyaBakurov.html
SaraSilva.html
MarcoIvaldi.html
MarioGiacobini.html
http___dx.doi.org_10.1016_j.asoc.2020.106097 http://dx.doi.org/10.1016/j.asoc.2020.106097
http___www.sciencedirect.com_science_article_pii_S1568494620300375 http://www.sciencedirect.com/science/article/pii/S1568494620300375
Azzali:2022:evoapplications Vectorial GP for Alzheimer's Disease Prediction Through Handwriting Analysis
IreneAzzali.html
NicoleDaliaCilia.html
ClaudioDeStefano.html
FrancescoRFontanella.html
MarioGiacobini.html
LeonardoVanneschi.html
http___dx.doi.org_10.1007_978-3-031-02462-7_33 http://dx.doi.org/10.1007/978-3-031-02462-7_33
conf/adma/AzzawiHAXAA17 Multiclass Lung Cancer Diagnosis by Gene Expression Programming and Microarray Datasets
HasseebAzzawi.html
JingyuHou.html
RussulAlanni.html
YongXiang.html
RanaAbdu-Aljabar.html
AliAzzawi.html
http___dx.doi.org_10.1007_978-3-319-69179-4_38 http://dx.doi.org/10.1007/978-3-319-69179-4_38
Azzini:2011:IA Evolutionary ANNs: A state of the art survey
AntoniaAzzini.html
AndreaGBTettamanzi.html
http___dx.doi.org_10.3233_IA-2011-0002 http://dx.doi.org/10.3233/IA-2011-0002
B:2021:ICIRCA Comparison of Conventional and Automated Machine Learning approaches for Breast Cancer Prediction
AkaramuthalviJB.html
SujaPalaniswamy.html
http___dx.doi.org_10.1109_ICIRCA51532.2021.9544863 http://dx.doi.org/10.1109/ICIRCA51532.2021.9544863
Baareh:2018:IJACSA Evolutionary Design of a Carbon Dioxide Emission Prediction Model using Genetic Programming
AbdelKarimBaareh.html
http___thesai.org_Downloads_Volume9No3_Paper_41-Evolutionary_Design_of_a_Carbon_Dioxide_Emission.pdf http://thesai.org/Downloads/Volume9No3/Paper_41-Evolutionary_Design_of_a_Carbon_Dioxide_Emission.pdf
http___dx.doi.org_10.14569_IJACSA.2018.090341 http://dx.doi.org/10.14569/IJACSA.2018.090341
Baars:2011:FedCSIS Search-based testing, the underlying engine of Future Internet testing
ArthurIBaars.html
KiranLakhotia.html
TanjaEJVos.html
JoachimWegener.html
http___ieeexplore.ieee.org_stamp_stamp.jsp_tp__arnumber_6078178 http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6078178
Babaelahi:2016:Energy Analytical closed-form model for predicting the power and efficiency of Stirling engines based on a comprehensive numerical model and the genetic programming
MojtabaBabaelahi.html
HoseynSayyaadi.html
http___dx.doi.org_10.1016_j.energy.2016.01.031 http://dx.doi.org/10.1016/j.energy.2016.01.031
http___www.sciencedirect.com_science_article_pii_S0360544216000505 http://www.sciencedirect.com/science/article/pii/S0360544216000505
BABAELAHI:2017:EML Optimum analytical design of medical heat sink with convex parabolic fin including variable thermal conductivity and mass transfer
MojtabaBabaelahi.html
HamedEshraghi.html
http___dx.doi.org_10.1016_j.eml.2017.06.005 http://dx.doi.org/10.1016/j.eml.2017.06.005
http___www.sciencedirect.com_science_article_pii_S2352431616302826 http://www.sciencedirect.com/science/article/pii/S2352431616302826
BABAELAHI:2020:SETA Analytical design and optimization of a new hybrid solar-driven micro gas turbine/stirling engine, based on exergo-enviro-economic concept
MojtabaBabaelahi.html
HamedJafari.html
http___dx.doi.org_10.1016_j.seta.2020.100845 http://dx.doi.org/10.1016/j.seta.2020.100845
https___www.sciencedirect.com_science_article_pii_S2213138820312728 https://www.sciencedirect.com/science/article/pii/S2213138820312728
Babanajad:2013:AiC Numerical modeling of concrete strength under multiaxial confinement pressures using linear genetic programming
SaeedKBabanajad.html
AHGandomi.html
DMohammadzadehShadmehri.html
AHAlavi.html
http___www.sciencedirect.com_science_article_pii_S0926580513001301 http://www.sciencedirect.com/science/article/pii/S0926580513001301
http___dx.doi.org_10.1016_j.autcon.2013.08.016 http://dx.doi.org/10.1016/j.autcon.2013.08.016
Babanajad:2015:hbgpa Application of Genetic Programming for Uniaxial and Multiaxial Modeling of Concrete
SaeedKBabanajad.html
http___dx.doi.org_10.1007_978-3-319-20883-1_16 http://dx.doi.org/10.1007/978-3-319-20883-1_16
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SaeedKBabanajad.html
https___dspace-prod.lib.uic.edu_bitstream_handle_10027_20220_Karimbabanajadmamaghani_Saeed.pdf https://dspace-prod.lib.uic.edu/bitstream/handle/10027/20220/Karimbabanajadmamaghani_Saeed.pdf
https___indigo.uic.edu_handle_10027_20220 https://indigo.uic.edu/handle/10027/20220
https___oatd.org_oatd_search_q_Methods_for_Sensing_2C_Analysis_and_Computation_of_Loads_and_Distributed_Damage_in_Bridges_form_basic https://oatd.org/oatd/search?q=Methods+for+Sensing%2C+Analysis+and+Computation+of+Loads+and+Distributed+Damage+in+Bridges&form=basic
http___hdl.handle.net_10027_20220 http://hdl.handle.net/10027/20220
Babanajad:2017:AES New prediction models for concrete ultimate strength under true-triaxial stress states: An evolutionary approach
SaeedKBabanajad.html
AHGandomi.html
AHAlavi.html
http___dx.doi.org_10.1016_j.advengsoft.2017.03.011 http://dx.doi.org/10.1016/j.advengsoft.2017.03.011
http___www.sciencedirect.com_science_article_pii_S096599781630566X http://www.sciencedirect.com/science/article/pii/S096599781630566X
Babar:2013:ICDIM Genetic Programming Based Degree Constrained Spanning Tree Extraction
ZaheerBabar.html
MuhammadWaqas.html
ZahidHalim.html
MuhammadArshadIslam.html
http___dx.doi.org_10.1109_ICDIM.2013.6693966 http://dx.doi.org/10.1109/ICDIM.2013.6693966
Baber:2009:MSG Predicting the Structure of Covert Networks using Genetic Programming, Cognitive Work Analysis and Social Network Analysis
ChrisBaber.html
NevilleStanton.html
DanielHoward.html
RobertJHoughton.html
http___ftp.rta.nato.int_public__PubFullText_RTO_MP_RTO-MP-MSG-069___MP-MSG-069-15.pdf http://ftp.rta.nato.int/public//PubFullText/RTO/MP/RTO-MP-MSG-069///MP-MSG-069-15.pdf
https___apps.dtic.mil_sti_citations_ADA568007 https://apps.dtic.mil/sti/citations/ADA568007
baber:2002:EuroGP Evolutionary Algorithm Approach to Bilateral Negotiations
VinaysheelBaber.html
RemaAnanthanarayanan.html
KrishnaKummamuru.html
http___dx.doi.org_10.1007_3-540-45984-7_20 http://dx.doi.org/10.1007/3-540-45984-7_20
babic:2014:etv Using of genetic programming in engineering
MatejBabic.html
PeterKokol.html
IgorBelic.html
PeterPanjan.html
MihaKovacic.html
JozeBalic.html
http___ev.fe.uni-lj.si_3-2014_Babic.pdf http://ev.fe.uni-lj.si/3-2014/Babic.pdf
Babic:2021:Remote_Sensing Modeling and Classification of Alluvial Fans with DEMs and Machine Learning Methods: A Case Study of Slovenian Torrential Fans
MatejBabic.html
DusanPetrovic.html
JostSodnik.html
BozoSoldo.html
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OlenaChernieva.html
MihaKovacic.html
MatjazMikos.html
MicheleCali.html
https___repozitorij.uni-lj.si_IzpisGradiva.php_id_127268 https://repozitorij.uni-lj.si/IzpisGradiva.php?id=127268
https___www.mdpi.com_2072-4292_13_9_1711 https://www.mdpi.com/2072-4292/13/9/1711
http___dx.doi.org_10.3390_rs13091711 http://dx.doi.org/10.3390/rs13091711
Babic:2021:SpliTech A New Composite Method of Modeling Bicycle Traffic using Convolutional Neural Networks and Genetic programming
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BrankoSter.html
JanezPovh.html
JoelJPCRodrigues.html
http___dx.doi.org_10.23919_SpliTech52315.2021.9566405 http://dx.doi.org/10.23919/SpliTech52315.2021.9566405
BABIC:2021:PM Evaluation of microstructural complex geometry of robot laser hardened materials through a genetic programming model
MatejBabic.html
GLesiuk.html
DraganMarinkovic.html
MicheleCali.html
http___dx.doi.org_10.1016_j.promfg.2021.10.036 http://dx.doi.org/10.1016/j.promfg.2021.10.036
https___www.sciencedirect.com_science_article_pii_S235197892100233X https://www.sciencedirect.com/science/article/pii/S235197892100233X
babic:2022:AS Complexity Modeling of Steel-Laser-Hardened Surface Microstructures
MatejBabic.html
DraganMarinkovic.html
MarcoBonfanti.html
MicheleCali.html
https___www.mdpi.com_2076-3417_12_5_2458 https://www.mdpi.com/2076-3417/12/5/2458
http___dx.doi.org_10.3390_app12052458 http://dx.doi.org/10.3390/app12052458
Babic:2022:FF A New Method of Quantifying the Complexity of Fractal Networks
MatejBabic.html
DraganMarinkovic.html
MihaKovacic.html
BrankoSter.html
MicheleCali.html
https___www.mdpi.com_2504-3110_6_6_282 https://www.mdpi.com/2504-3110/6/6/282
http___dx.doi.org_10.3390_fractalfract6060282 http://dx.doi.org/10.3390/fractalfract6060282
babovic:1994:camh Use of computational adaptive methodologies in hydroinformatics
VladanBabovic.html
AnthonyWMinns.html
http___www.amazon.co.uk_Hydroinformatics-Proceedings-International-Conference-Netherlands_dp_9054105127 http://www.amazon.co.uk/Hydroinformatics-Proceedings-International-Conference-Netherlands/dp/9054105127
babovic:1995:gmibed Genetic Model Induction Based on Experimental Data
VladanBabovic.html
http___www.amazon.co.uk_Hydra-2000-Development-Proceedings-International_dp_0727720597_ref_sr_1_4_s_books_ie_UTF8_qid_1324144161_sr_1-4 http://www.amazon.co.uk/Hydra-2000-Development-Proceedings-International/dp/0727720597/ref=sr_1_4?s=books&ie=UTF8&qid=1324144161&sr=1-4
babovic:thesis Emergence, Evolution, Intelligence: Hydroinformatics
VladanBabovic.html
http___repository.tudelft.nl_view_ir_uuid_3A58c50efe-4a6a-40b4-8c60-2b81d629b49c_ http://repository.tudelft.nl/view/ir/uuid%3A58c50efe-4a6a-40b4-8c60-2b81d629b49c/
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babovic:book Emergence, evolution, intelligence; Hydroinformatics - A study of distributed and decentralised computing using intelligent agents
VladanBabovic.html
https___www.amazon.com_Hydroinformatics-Emergence-Evolution-Intelligence-Thesis_dp_905410404X_ref_sr_1_1_165-1740647-7487049_s_books_ie_UTF8_qid_1477940894_sr_1-1_keywords_9789054104049 https://www.amazon.com/Hydroinformatics-Emergence-Evolution-Intelligence-Thesis/dp/905410404X/ref=sr_1_1/165-1740647-7487049?s=books&ie=UTF8&qid=1477940894&sr=1-1&keywords=9789054104049
babovic:1996:wmbAI Can water resources management benefit from artificial intelligence?
VladanBabovic.html
http___www.dwa.de_dwa_sitemapping.nsf_literaturvorschau_openform_bestandsnr_36547 http://www.dwa.de/dwa/sitemapping.nsf/literaturvorschau?openform&bestandsnr=36547
babovic:1997:eehd1 The evolution of equation from hydraulic data, Part I: Theory
VladanBabovic.html
MichaelBAbbott.html
http___dx.doi.org_10.1080_00221689709498420 http://dx.doi.org/10.1080/00221689709498420
babovic:1997:eehd2 The evolution of equation from hydraulic data, Part II: Applications
VladanBabovic.html
MichaelBAbbott.html
http___dx.doi.org_10.1080_00221689709498421 http://dx.doi.org/10.1080/00221689709498421
babovic:1997:mfnls On the Modelling and Forecasting of Non-linear Systems
VladanBabovic.html
http___www.amazon.co.uk_gp_search_index_books_linkCode_qs_keywords_9054108975 http://www.amazon.co.uk/gp/search?index=books&linkCode=qs&keywords=9054108975
babovic:1998:stdlkm Sediment transport data - Large knowledge mine
VladanBabovic.html
babovic:1998:dmtsmf A data mining approach to time series modelling and forecasting
VladanBabovic.html
babovic:1998:mstGP Mining sediment transport data with genetic programming
VladanBabovic.html
babovic:1999:cskd-veg Computer supported knowledge discovery - A case study in flow resistance induced by vegetation
VladanBabovic.html
MaartenKeijzer.html
http___www.iahr.org_membersonly_grazproceedings99_pdf_C021.pdf http://www.iahr.org/membersonly/grazproceedings99/pdf/C021.pdf
babovic:1999:d2k Data to knowledge - The new scientific paradigm
VladanBabovic.html
MaartenKeijzer.html
http___bookweb.kinokuniya.co.jp_htmy_0863802486.html http://bookweb.kinokuniya.co.jp/htmy/0863802486.html
me15 Evolutionary algorithms approach to induction of differential equations
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MaartenKeijzer.html
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babovic:1999:td2ksed Data Mining and Knowledge Discovery in Sediment Transport
VladanBabovic.html
http___dx.doi.org_10.1111_0885-9507.00202 http://dx.doi.org/10.1111/0885-9507.00202
babovic:1999:GPmie Genetic programming as a model induction engine
VladanBabovic.html
MaartenKeijzer.html
http___jh.iwaponline.com_content_2_1_35 http://jh.iwaponline.com/content/2/1/35
http___dx.doi.org_10.2166_hydro.2000.0004 http://dx.doi.org/10.2166/hydro.2000.0004
Babovic:2000:IAHR On Computer-Aided Discovery of Knowledge in Hydraulic Engineering
VladanBabovic.html
HBergmann.html
me25 On the introduction of declarative bias in knowledge discovery computer systems
VladanBabovic.html
MaartenKeijzer.html
me27 An evolutionary approach to knowledge induction: Genetic Programming in Hydraulic Engineering
VladanBabovic.html
MaartenKeijzer.html
DavidRodriguez-Aguilera.html
JoeHarrington.html
http___www.cs.vu.nl__mkeijzer_publications_ASCE_paper.pdf http://www.cs.vu.nl/~mkeijzer/publications/ASCE_paper.pdf
http___dx.doi.org_10.1061_40569_2001_64 http://dx.doi.org/10.1061/40569(2001)64
me24 Modelling of water supply assets: a data mining approach
VladanBabovic.html
Jean-PhilippeDrecourt.html
MaartenKeijzer.html
PeterFriisHansen.html
http___www.sciencedirect.com_science_article_B6VR2-4718F0J-1_2_e361659261f99d438f8f2207f67eedf8 http://www.sciencedirect.com/science/article/B6VR2-4718F0J-1/2/e361659261f99d438f8f2207f67eedf8
NordicHy Rainfall Runoff Modelling based on Genetic Programming
VladanBabovic.html
MaartenKeijzer.html
http___www.iwaponline.com_nh_033_0331_0330331.pdf http://www.iwaponline.com/nh/033/0331/0330331.pdf
http___dx.doi.org_10.2166_nh.2002.0012 http://dx.doi.org/10.2166/nh.2002.0012
Babovic:2005:HP Data mining in hydrology
VladanBabovic.html
http___dx.doi.org_10.1002_hyp.5862 http://dx.doi.org/10.1002/hyp.5862
Babovic:2006: Rainfall-Runoff Modeling Based on Genetic Programming
VladanBabovic.html
MaartenKeijzer.html
http___onlinelibrary.wiley.com_doi_10.1002_0470848944.hsa017_abstract http://onlinelibrary.wiley.com/doi/10.1002/0470848944.hsa017/abstract
http___dx.doi.org_10.1002_0470848944.hsa017 http://dx.doi.org/10.1002/0470848944.hsa017
Babovic:2007:NMHS Data-Driven Knowledge Discovery: Four Roads to Vegetation-Induced Roughness Formulae
VladanBabovic.html
http___www.amazon.com_Numerical-Modelling-Hydrodynamics-Water-Resources_dp_0415440564_ref_cm_cr_pr_pb_t http://www.amazon.com/Numerical-Modelling-Hydrodynamics-Water-Resources/dp/0415440564/ref=cm_cr_pr_pb_t
Babovic:2009:JH Introducing knowledge into learning based on genetic programming
VladanBabovic.html
http___www.iwaponline.com_jh_011_0181_0110181.pdf http://www.iwaponline.com/jh/011/0181/0110181.pdf
http___dx.doi.org_10.2166_hydro.2009.041 http://dx.doi.org/10.2166/hydro.2009.041
Babovic:2010:ECinH Evolutionary Computing in Hydrology
VladanBabovic.html
KRaoRaghuraj.html
http___ebooks.worldscinet.com_ISBN_9789814307987_9789814307987_0007.html http://ebooks.worldscinet.com/ISBN/9789814307987/9789814307987_0007.html
http___dx.doi.org_10.1142_9789814307987_0007 http://dx.doi.org/10.1142/9789814307987_0007
Babu:2007:EL Genetic Programming for Symbolic Regression of Chemical Process Systems
BVBabu.html
SKarthik.html
http___www.engineeringletters.com_issues_v14_issue_2_EL_14_2_6.pdf http://www.engineeringletters.com/issues_v14/issue_2/EL_14_2_6.pdf
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Babu:2016:ICCES Approximation of digital circuits using cartesian genetic programming
KaganaSarathBabu.html
NBalaji.html
http___dx.doi.org_10.1109_CESYS.2016.7889978 http://dx.doi.org/10.1109/CESYS.2016.7889978
Babu:2023:ICAEECI OCR-Based Multi-class Classification of Hate Speech in Images
NithishBabuM.html
PreethiP.html
http___dx.doi.org_10.1109_ICAEECI58247.2023.10370942 http://dx.doi.org/10.1109/ICAEECI58247.2023.10370942
Babuska:2019:GECCO Genetic programming methods for reinforcement learning
RobertBabuska.html
http___dx.doi.org_10.1145_3321707.3326935 http://dx.doi.org/10.1145/3321707.3326935
Bacardit:2011:GECCOcomp GECCO '11: Proceedings of the 13th annual conference companion on Genetic and evolutionary computation
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RobertMPatton.html
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ForrestStonedahl.html
GiseleLPappa.html
AlexAlvesFreitas.html
JerrySwan.html
JohnRWoodward.html
MariaJBlesa.html
ChristianBlum.html
StevenMGustafson.html
Ekaterina_Katya_Vladislavleva.html
MarkWHauschild.html
MartinPelikan.html
EnderOzcan.html
AndrewJParkes.html
JonathanERowe.html
PascalBouvry.html
SameeUKhan.html
GregoireDanoy.html
Alexandru-AdrianTantar.html
EmiliaTantar.html
BernabeDorronsoro.html
MiguelNicolau.html
LDarrellWhitley.html
http___dl.acm.org_citation.cfm_id_2001858 http://dl.acm.org/citation.cfm?id=2001858
Bach:2019:ICEAA Evolved Design of Microstrip Patch Antenna by Genetic Programming
ThuanBuiBach.html
LinhHoManh.html
KiemNguyenKhac.html
MicheleBeccaria.html
AndreaMassaccesi.html
RiccardoZich.html
http___dx.doi.org_10.1109_ICEAA.2019.8879155 http://dx.doi.org/10.1109/ICEAA.2019.8879155
back:1997:survey Evolutionary computation: comments on the history and current state
ThomasBack.html
UHammel.html
Hans-PaulSchwefel.html
http___ls11-www.cs.uni-dortmund.de_people_schwefel_publications_BHS97.ps.gz http://ls11-www.cs.uni-dortmund.de/people/schwefel/publications/BHS97.ps.gz
back:2000:EC1 Mutation operators
ThomasBack.html
DavidBFogel.html
LDarrellWhitley.html
PeterJohnAngeline.html
http___www.crcpress.com_product_isbn_9780750306645 http://www.crcpress.com/product/isbn/9780750306645
Back:2004:UPP Inverse Design of Cellular Automata by Genetic Algorithms: An Unconventional Programming Paradigm
ThomasBack.html
RonBreukelaar.html
LarsWillmes.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.535.7340 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.535.7340
https___doi.org_10.1007_11527800_13 https://doi.org/10.1007/11527800_13
http___dx.doi.org_10.1007_11527800_13 http://dx.doi.org/10.1007/11527800_13
Baeck:2023:GPTP Automatic Algorithm Configuration for Expensive Optimization Tasks
ThomasBack.html
backer:1996:WSC Learning with missing data using Genetic Programming
GerrietBacker.html
http___www.pa.info.mie-u.ac.jp_bioele_wsc1_papers_files_backer.ps.gz http://www.pa.info.mie-u.ac.jp/bioele/wsc1/papers/files/backer.ps.gz
conf/evoW/BackmanD08 A Generative Representation for the Evolution of Jazz Solos
KjellBackman.html
PalleDahlstedt.html
http___dx.doi.org_10.1007_978-3-540-78761-7_40 http://dx.doi.org/10.1007/978-3-540-78761-7_40
Badan:2019:TPNC Optimizing Convolutional Neural Networks for Embedded Systems by Means of Neuroevolution
FilipBadan.html
LukasSekanina.html
http___dx.doi.org_10.1007_978-3-030-34500-6_7 http://dx.doi.org/10.1007/978-3-030-34500-6_7
1277299 A GP-based hyper-heuristic framework for evolving 3-SAT heuristics
MohamedBahyBader-El-Den.html
RiccardoPoli.html
http___gpbib.cs.ucl.ac.uk_gecco2007_docs_p1749.pdf http://gpbib.cs.ucl.ac.uk/gecco2007/docs/p1749.pdf
http___dx.doi.org_10.1145_1276958.1277299 http://dx.doi.org/10.1145/1276958.1277299
bader-el-den07:_gener_sat_local_searc_heuris Generating SAT Local-Search Heuristics using a GP Hyper-Heuristic Framework
MohamedBahyBader-El-Den.html
RiccardoPoli.html
http___dx.doi.org_10.1007_978-3-540-79305-2_4 http://dx.doi.org/10.1007/978-3-540-79305-2_4
Bader-El-Den:2008:evocop Inc*: An Incremental Approach for Improving Local Search Heuristics
MohamedBahyBader-El-Den.html
RiccardoPoli.html
http___dx.doi.org_10.1007_978-3-540-78604-7_17 http://dx.doi.org/10.1007/978-3-540-78604-7_17
Bader-El-Den:2008:WCCI Analysis and Extension of the Inc* on the Satisfiability Testing Problem
MohamedBahyBader-El-Den.html
RiccardoPoli.html
http___dx.doi.org_10.1109_CEC.2008.4631250 http://dx.doi.org/10.1109/CEC.2008.4631250
Bader-El-Den:2008:GPTP Evolving Effective Incremental Solvers for SAT with a Hyper-Heuristic Framework Based on Genetic Programming
MohamedBahyBader-El-Den.html
RiccardoPoli.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.206.3331.pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.206.3331.pdf
http___dx.doi.org_10.1007_978-0-387-87623-8_11 http://dx.doi.org/10.1007/978-0-387-87623-8_11
Bader-El-Den:2008:gecco Evolving Heuristics with Genetic Programming
MohamedBahyBader-El-Den.html
RiccardoPoli.html
http___gpbib.cs.ucl.ac.uk_gecco2008_docs_p601.pdf http://gpbib.cs.ucl.ac.uk/gecco2008/docs/p601.pdf
http___dx.doi.org_10.1145_1389095.1389212 http://dx.doi.org/10.1145/1389095.1389212
BaderElDen:2009:cec Grammar-Based Genetic Programming for Timetabling
MohamedBahyBader-El-Den.html
RiccardoPoli.html
http___dx.doi.org_10.1109_CEC.2009.4983259 http://dx.doi.org/10.1109/CEC.2009.4983259
Bader-El-Den:thesis Investigation of the role of Genetic Programming in a Hyper-Heuristic Framework for Combinatorial Optimization Problems
MohamedBahyBader-El-Den.html
http___ethos.bl.uk_OrderDetails.do_did_25_uin_uk.bl.ethos.510512 http://ethos.bl.uk/OrderDetails.do?did=25&uin=uk.bl.ethos.510512
conf/ijcci/Bader-El-DenF09 Evolving Effective Bidding Functions for Auction based Resource Allocation Framework
MohamedBahyBader-El-Den.html
ShaheenFatima.html
https___www.researchgate.net_publication_221616501_Evolving_Effective_Bidding_Functions_for_Auction_based_Resource_Allocation_Framework https://www.researchgate.net/publication/221616501_Evolving_Effective_Bidding_Functions_for_Auction_based_Resource_Allocation_Framework
https___researchportal.port.ac.uk_portal_en_publications_evolving-effective-bidding-functions-for-auction-based-resource-allocation-framework_5323b5d3-0e0a-446a-91d5-b64bb53a592f__export.html https://researchportal.port.ac.uk/portal/en/publications/evolving-effective-bidding-functions-for-auction-based-resource-allocation-framework(5323b5d3-0e0a-446a-91d5-b64bb53a592f)/export.html
journals/memetic/Bader-El-DenPF09 Evolving timetabling heuristics using a grammar-based genetic programming hyper-heuristic framework
MohamedBahyBader-El-Den.html
RiccardoPoli.html
ShaheenFatima.html
http___dx.doi.org_10.1007_s12293-009-0022-y http://dx.doi.org/10.1007/s12293-009-0022-y
Bader-El-Den:2010:EuroGP Genetic Programming for Auction Based Scheduling
MohamedBahyBader-El-Den.html
ShaheenFatima.html
http___dx.doi.org_10.1007_978-3-642-12148-7_22 http://dx.doi.org/10.1007/978-3-642-12148-7_22
1277272 The roles of diversity preservation and mutation in preventing population collapse in multiobjective genetic programming
KhaledMSBadran.html
PeterIRockett.html
http___gpbib.cs.ucl.ac.uk_gecco2007_docs_p1551.pdf http://gpbib.cs.ucl.ac.uk/gecco2007/docs/p1551.pdf
http___dx.doi.org_10.1145_1276958.1277272 http://dx.doi.org/10.1145/1276958.1277272
conf/eurogp/BadranR08 Integrating Categorical Variables with Multiobjective Genetic Programming for Classifier Construction
KhaledMSBadran.html
PeterIRockett.html
http___dx.doi.org_10.1007_978-3-540-78671-9_26 http://dx.doi.org/10.1007/978-3-540-78671-9_26
Badran:2009:GPEM The influence of mutation on population dynamics in multiobjective genetic programming
KhaledMSBadran.html
PeterIRockett.html
http___dx.doi.org_10.1007_s10710-009-9084-3 http://dx.doi.org/10.1007/s10710-009-9084-3
Badran:thesis Multi-objective genetic programming with an application to intrusion detection in computer networks
KhaledMSBadran.html
http___ethos.bl.uk_OrderDetails.do_did_1_uin_uk.bl.ethos.505474 http://ethos.bl.uk/OrderDetails.do?did=1&uin=uk.bl.ethos.505474
Badran:2011:GPEM Multi-class pattern classification using single, multi-dimensional feature-space feature extraction evolved by multi-objective genetic programming and its application to network intrusion detection
KhaledMSBadran.html
PeterIRockett.html
http___dx.doi.org_10.1007_s10710-011-9143-4 http://dx.doi.org/10.1007/s10710-011-9143-4
Badran:2017:IJCA Genetic Programming Feature Extraction with Different Robust Classifiers for Network Intrusion Detection
KhaledMSBadran.html
AlaaRohim.html
https___www.ijcaonline.org_archives_volume168_number1_27841-2017914276 https://www.ijcaonline.org/archives/volume168/number1/27841-2017914276
https___www.ijcaonline.org_archives_volume168_number1_badran-2017-ijca-914276.pdf https://www.ijcaonline.org/archives/volume168/number1/badran-2017-ijca-914276.pdf
http___dx.doi.org_10.5120_ijca2017914276 http://dx.doi.org/10.5120/ijca2017914276
Badura:2014:ELEKTRO Bimodal vowel recognition using fuzzy logic networks - naive approach
StefanBadura.html
MilanFratrik.html
OndrejSkvarek.html
MartinKlimo.html
http___dx.doi.org_10.1109_ELEKTRO.2014.6847864 http://dx.doi.org/10.1109/ELEKTRO.2014.6847864
journals/soco/BaeJKKKHM10 Optimization of silicon solar cell fabrication based on neural network and genetic programming modeling
HyeonBae.html
Tae-RyongJeon.html
SungshinKim.html
Hyun-SooKim.html
DongSeopKim.html
Seung-SooHan.html
GarySMay.html
http___dx.doi.org_10.1007_s00500-009-0438-9 http://dx.doi.org/10.1007/s00500-009-0438-9
Baele:2009:cec Open-Ended On-Board Evolutionary Robotics for Robot Swarms
GuyBaele.html
NicolasBredeche.html
EvertHaasdijk.html
StevenMaere.html
NicoMichiels.html
YvesVandePeer.html
ChristopherSchwarzer.html
RonaldThenius.html
http___dx.doi.org_10.1109_CEC.2009.4983072 http://dx.doi.org/10.1109/CEC.2009.4983072
Baeta:2021:evoapplications TensorGP - Genetic Programming Engine in TensorFlow
FranciscoBaeta.html
JoaoNunoGoncalvesCostaCavaleiroCorreia.html
TiagoMartins.html
PenousalMachado.html
http___dx.doi.org_10.1007_978-3-030-72699-7_48 http://dx.doi.org/10.1007/978-3-030-72699-7_48
Baeta:2021:GECCO Speed Benchmarking of Genetic Programming Frameworks
FranciscoBaeta.html
JoaoNunoGoncalvesCostaCavaleiroCorreia.html
TiagoMartins.html
PenousalMachado.html
http___dx.doi.org_10.1145_3449639.3459335 http://dx.doi.org/10.1145/3449639.3459335
baeta:2022:SN Exploring Genetic Programming in TensorFlow with TensorGP
FranciscoBaeta.html
JoaoNunoGoncalvesCostaCavaleiroCorreia.html
TiagoMartins.html
PenousalMachado.html
http___link.springer.com_article_10.1007_s42979-021-01006-8 http://link.springer.com/article/10.1007/s42979-021-01006-8
http___dx.doi.org_10.1007_s42979-021-01006-8 http://dx.doi.org/10.1007/s42979-021-01006-8
baeza-yates:2018:DESA Learning Ranking Functions by Genetic Programming Revisited
RicardoBaeza-Yates.html
AlfredoCuzzocrea.html
DomenicoCrea.html
GiovanniLoBianco.html
http___link.springer.com_chapter_10.1007_978-3-319-98812-2_34 http://link.springer.com/chapter/10.1007/978-3-319-98812-2_34
http___dx.doi.org_10.1007_978-3-319-98812-2_34 http://dx.doi.org/10.1007/978-3-319-98812-2_34
DBLP:conf/sac/Baeza-YatesCCB19 An effective and efficient algorithm for ranking web documents via genetic programming
RicardoBaeza-Yates.html
AlfredoCuzzocrea.html
DomenicoCrea.html
GiovanniLoBianco.html
https___doi.org_10.1145_3297280.3297385 https://doi.org/10.1145/3297280.3297385
http___dx.doi.org_10.1145_3297280.3297385 http://dx.doi.org/10.1145/3297280.3297385
https___dblp.org_rec_conf_sac_Baeza-YatesCCB19.bib https://dblp.org/rec/conf/sac/Baeza-YatesCCB19.bib
BAGHERI:2019:Measurement The use of machine learning in boron-based geopolymers: Function approximation of compressive strength by ANN and GP
AliBagheri.html
AliNazari.html
JayGSanjayan.html
http___dx.doi.org_10.1016_j.measurement.2019.03.001 http://dx.doi.org/10.1016/j.measurement.2019.03.001
http___www.sciencedirect.com_science_article_pii_S0263224119302106 http://www.sciencedirect.com/science/article/pii/S0263224119302106
journals/es/BagheriGBS13 Multi-expression programming based model for prediction of formation enthalpies of nitro-energetic materials
MehdiBagheri.html
AHGandomi.html
MehrdadBagheri.html
MohcenShahbaznezhad.html
http___dx.doi.org_10.1111_j.1468-0394.2012.00623.x http://dx.doi.org/10.1111/j.1468-0394.2012.00623.x
Bagheri:2015:SAR_QSAR_ER A simple modelling approach for prediction of standard state real gas entropy of pure materials
MehdiBagheri.html
TohidNejadGhaffarBorhani.html
AHGandomi.html
ZainuddinAbdulManan.html
http___www.tandfonline.com_doi_abs_10.1080_1062936X.2014.942356 http://www.tandfonline.com/doi/abs/10.1080/1062936X.2014.942356
http___www.tandfonline.com_doi_full_10.1080_1062936X.2014.942356 http://www.tandfonline.com/doi/full/10.1080/1062936X.2014.942356
http___dx.doi.org_10.1080_1062936X.2014.942356 http://dx.doi.org/10.1080/1062936X.2014.942356
BAGHERI:2019:PSEP Advanced control of membrane fouling in filtration systems using artificial intelligence and machine learning techniques: A critical review
MajidBagheri.html
AliAkbari.html
SayedAhmadMirbagheri.html
http___dx.doi.org_10.1016_j.psep.2019.01.013 http://dx.doi.org/10.1016/j.psep.2019.01.013
http___www.sciencedirect.com_science_article_pii_S0957582018310863 http://www.sciencedirect.com/science/article/pii/S0957582018310863
baglioni:2000:eampaa An Evolutionary Approach to Multiperiod Asset Allocation
StefaniaBaglioni.html
CeliadaCostaPereira.html
DarioSorbello.html
AndreaGBTettamanzi.html
http___mago.crema.unimi.it_pub_BaglioniDaCostaPereiraSorbelloTettamanzi2000.ps http://mago.crema.unimi.it/pub/BaglioniDaCostaPereiraSorbelloTettamanzi2000.ps
http___dx.doi.org_10.1007_978-3-540-46239-2_16 http://dx.doi.org/10.1007/978-3-540-46239-2_16
Bagula:2005:ciS On the Relevance of Using Gene Expression Programming in Destination-Based Traffic Engineering
AntoineBBagula.html
HongFWang.html
http___dx.doi.org_10.1007_11596448 http://dx.doi.org/10.1007/11596448
bagula_2006_NOMS Traffic Engineering Next Generation IP Networks Using Gene Expression Programming
AntoineBBagula.html
http___dx.doi.org_10.1109_NOMS.2006.1687554 http://dx.doi.org/10.1109/NOMS.2006.1687554
urn_nbn_se_kth_diva-4213-2__fulltext Hybrid Routing in Next Generation IP Networks: QoS Routing Mechanisms and Network Control Strategies
AntoineBBagula.html
http___kth.diva-portal.org_smash_record.jsf_pid_diva2_11272 http://kth.diva-portal.org/smash/record.jsf?pid=diva2:11272
http___kth.diva-portal.org_smash_get_diva2_11272_FULLTEXT01.pdf http://kth.diva-portal.org/smash/get/diva2:11272/FULLTEXT01.pdf
DBLP:conf/nafips/BaharZE16 Generating ternary stock trading signals using fuzzy genetic network programming
HoseinHamishehBahar.html
MohammadHosseinFazelZarandi.html
AkbarEsfahanipour.html
https___doi.org_10.1109_NAFIPS.2016.7851630 https://doi.org/10.1109/NAFIPS.2016.7851630
http___dx.doi.org_10.1109_NAFIPS.2016.7851630 http://dx.doi.org/10.1109/NAFIPS.2016.7851630
https___dblp.org_rec_conf_nafips_BaharZE16.bib https://dblp.org/rec/conf/nafips/BaharZE16.bib
Bahiraie:2009:AJAS On the Predictability of Risk Box Approach by Genetic Programming Method for Bankruptcy Prediction
AlirezaBahiraie.html
NoorAkmaIbrahim.html
MohamedAbdulKarimAzhar.html
http___www.scipub.org_fulltext_ajas_ajas691748-1757.pdf http://www.scipub.org/fulltext/ajas/ajas691748-1757.pdf
Bahrami:2016:Fuel A novel approach for modeling and optimization of surfactant/polymer flooding based on Genetic Programming evolutionary algorithm
PeymanBahrami.html
PezhmanKazemi.html
SedighehMahdavi.html
HosseinGhobadi.html
http___dx.doi.org_10.1016_j.fuel.2016.03.095 http://dx.doi.org/10.1016/j.fuel.2016.03.095
http___www.sciencedirect.com_science_article_pii_S0016236116301375 http://www.sciencedirect.com/science/article/pii/S0016236116301375
Bahreini-Toussi:2021:MCA Prediction of Maximum Pressure at the Roofs of Rectangular Water Tanks Subjected to Harmonic Base Excitation Using the Multi-Gene Genetic Programming Method
ImanBahreiniToussi.html
AbdolmajidMohammadian.html
RezaKianoush.html
https___www.mdpi.com_2297-8747_26_1_6 https://www.mdpi.com/2297-8747/26/1/6
http___dx.doi.org_10.3390_mca26010006 http://dx.doi.org/10.3390/mca26010006
Bai:2010:ISDA Efficient evolutionary image processing using genetic programming: Reducing computation time for generating feature images of the Automatically Construction of Tree-Structural Image Transformation (ACTIT)
HaiYingBai.html
NorikoYata.html
TomoharuNagao.html
http___dx.doi.org_10.1109_ISDA.2010.5687249 http://dx.doi.org/10.1109/ISDA.2010.5687249
Bai:2008:ieeeSMI Self-organizing primitives for automated shape composition
LingeBai.html
ManolyaEyiyurekli.html
DavidEBreen.html
http___dx.doi.org_10.1109_SMI.2008.4547962 http://dx.doi.org/10.1109/SMI.2008.4547962
Bai:2008:gecco Automated shape composition based on cell biology and distributed genetic programming
LingeBai.html
ManolyaEyiyurekli.html
DavidEBreen.html
http___gpbib.cs.ucl.ac.uk_gecco2008_docs_p1179.pdf http://gpbib.cs.ucl.ac.uk/gecco2008/docs/p1179.pdf
http___dx.doi.org_10.1145_1389095.1389329 http://dx.doi.org/10.1145/1389095.1389329
Bai:2008:SASO An Emergent System for Self-Aligning and Self-Organizing Shape Primitives
LingeBai.html
ManolyaEyiyurekli.html
DavidEBreen.html
http___dx.doi.org_10.1109_SASO.2008.54 http://dx.doi.org/10.1109/SASO.2008.54
Bai:2012:ME Chemotaxis-Inspired Cellular Primitives for Self-Organizing Shape Formation
LingeBai.html
DavidEBreen.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.306.4523 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.306.4523
http___dx.doi.org_10.1007_978-3-642-33902-8_9 http://dx.doi.org/10.1007/978-3-642-33902-8_9
http___dx.doi.org_10.1007_978-3-642-33902-8_9 http://dx.doi.org/10.1007/978-3-642-33902-8_9
Bai_LingePhD Chemotaxis-based Spatial Self-Organization Algorithms
LingeBai.html
https___www.cs.drexel.edu__david_Abstracts_bai_phd-abs.html https://www.cs.drexel.edu/~david/Abstracts/bai_phd-abs.html
http___hdl.handle.net_1860_idea_6006 http://hdl.handle.net/1860/idea:6006
https___idea.library.drexel.edu_islandora_object_idea_3A6006_datastream_OBJ_download_Chemotaxis-based_spatial_self-organization_algorithms.pdf https://idea.library.drexel.edu/islandora/object/idea%3A6006/datastream/OBJ/download/Chemotaxis-based_spatial_self-organization_algorithms.pdf
Bailey:2012:GECCO Automatic generation of graph models for complex networks by genetic programming
AlexanderBailey.html
MarioVentresca.html
BeatriceOmbuki-Berman.html
http___cs.adelaide.edu.au__brad_papers_alexanderThielPeacock.pdf http://cs.adelaide.edu.au/~brad/papers/alexanderThielPeacock.pdf
http___dx.doi.org_10.1145_2330163.2330263 http://dx.doi.org/10.1145/2330163.2330263
Bailey:2013:GECCO Automatic inference of hierarchical graph models using genetic programming with an application to cortical networks
AlexanderBailey.html
BeatriceOmbuki-Berman.html
MarioVentresca.html
http___dx.doi.org_10.1145_2463372.2463498 http://dx.doi.org/10.1145/2463372.2463498
Bailey:2014:ieeeTEC Genetic Programming for the Automatic Inference of Graph Models for Complex Networks
AlexanderBailey.html
MarioVentresca.html
BeatriceOmbuki-Berman.html
http___dx.doi.org_10.1109_TEVC.2013.2281452 http://dx.doi.org/10.1109/TEVC.2013.2281452
bain:2004:eafcs Evolving Algorithms for Constraint Satisfaction
StuartBain.html
JohnThornton.html
AbdulSattar.html
http___stuart.multics.org_publications_CEC2004.pdf http://stuart.multics.org/publications/CEC2004.pdf
https___research-repository.griffith.edu.au_bitstream_handle_10072_2138_27736.pdf https://research-repository.griffith.edu.au/bitstream/handle/10072/2138/27736.pdf
http___dx.doi.org_10.1109_CEC.2004.1330866 http://dx.doi.org/10.1109/CEC.2004.1330866
bain04methods Methods of Automatic Algorithm Generation
StuartBain.html
JohnThornton.html
AbdulSattar.html
http___www.ict.griffith.edu.au__johnt_publications_PRICAI2004stuart.pdf http://www.ict.griffith.edu.au/~johnt/publications/PRICAI2004stuart.pdf
http___dx.doi.org_10.1007_978-3-540-28633-2_17 http://dx.doi.org/10.1007/978-3-540-28633-2_17
bain05evolving Evolving variable-ordering heuristics for constrained optimisation
StuartBain.html
JohnThornton.html
AbdulSattar.html
http___www.ict.griffith.edu.au__johnt_publications_CP2005stuart.pdf http://www.ict.griffith.edu.au/~johnt/publications/CP2005stuart.pdf
http___dx.doi.org_10.1007_11564751_54 http://dx.doi.org/10.1007/11564751_54
bain05comparison A Comparison of Evolutionary Methods for the Discovery of Local Search Heuristics
StuartBain.html
JohnThornton.html
AbdulSattar.html
http___www.ict.griffith.edu.au__s661641_publications_AI2005stuart.pdf http://www.ict.griffith.edu.au/~s661641/publications/AI2005stuart.pdf
http___dx.doi.org_10.1007_11589990_142 http://dx.doi.org/10.1007/11589990_142
Bain:thesis Evolving Algorithms for Over-Constrained and Satisfaction Problems
StuartBain.html
http___stuart.freeshell.org_pubs_bain06evolving.pdf http://stuart.freeshell.org/pubs/bain06evolving.pdf
https___experts.griffith.edu.au_publication_n0c3cebffccba31781b944d6c54e6049b https://experts.griffith.edu.au/publication/n0c3cebffccba31781b944d6c54e6049b
http___hdl.handle.net_10072_365848 http://hdl.handle.net/10072/365848
http___dx.doi.org_10.25904_1912_1794 http://dx.doi.org/10.25904/1912/1794
bains:2002:CODDD Evolutionary computational methods to predict oral bioavailability QSPRs
WilliamBains.html
RichardJGilbert.html
LilyaSviridenko.html
Jose-MiguelGascon.html
RobertScoffin.html
KrisBirchall.html
InmanHarvey.html
JohnCaldwell.html
bains:2004:PBMB HERG binding specificity and binding site structure: Evidence from a fragment-based evolutionary computing SAR study
WilliamBains.html
AntranigBasman.html
CatWhite.html
http___dx.doi.org_10.1016_j.pbiomolbio.2003.09.001 http://dx.doi.org/10.1016/j.pbiomolbio.2003.09.001
http___www.sciencedirect.com_science_article_B6TBN-4BS4DJM-1_2_2bd8833742e401378469ee988d571705 http://www.sciencedirect.com/science/article/B6TBN-4BS4DJM-1/2/2bd8833742e401378469ee988d571705
Baird:2006:RNA Searching for IRES
StephenDBaird.html
MarcelTurcotte.html
RobertGKorneluk.html
MartinHolcik.html
http___dx.doi.org_10.1261_rna.157806 http://dx.doi.org/10.1261/rna.157806
Bajurnow:aspgp03 Function and terminal Set Selection for Evolving Goal Scoring Behaviour in Soccer Players
AndreiBajurnow.html
VictorCiesielski.html
bajurnow:2004:llfegsbisp Layered Learning for Evolving Goal Scoring Behavior in Soccer Players
AndreiBajurnow.html
VictorCiesielski.html
http___goanna.cs.rmit.edu.au__vc_papers_cec2004-bajurnow.pdf http://goanna.cs.rmit.edu.au/~vc/papers/cec2004-bajurnow.pdf
http___dx.doi.org_10.1109_CEC.2004.1331118 http://dx.doi.org/10.1109/CEC.2004.1331118
Baker:2010:ieeeICWITS On the design of integrated HF radar systems for Homeland Security applications
JamesBaker.html
NuriCelik.html
NobutakaOmaki.html
JillSKNakatsu.html
Hyoung-sunYoun.html
MagdyFIskander.html
http___dx.doi.org_10.1109_ICWITS.2010.5611859 http://dx.doi.org/10.1109/ICWITS.2010.5611859
Baker:2014:DBV:2638404.2638521 Detecting Bacterial Vaginosis Using Machine Learning
YolandaSBaker.html
RajeevAgrawal.html
JamesAFoster.html
DanielBeck.html
GerryDozier.html
http___dx.doi.org_10.1145_2638404.2638521 http://dx.doi.org/10.1145/2638404.2638521
Baker:2014:ICMLC Applying machine learning techniques in detecting Bacterial Vaginosis
YolandaSBaker.html
RajeevAgrawal.html
JamesAFoster.html
DanielBeck.html
GerryDozier.html
http___dx.doi.org_10.1109_ICMLC.2014.7009123 http://dx.doi.org/10.1109/ICMLC.2014.7009123
Bakshi:2012:ijetae To Accomplish Amelioration Of Classifier Using Gene-Mutation Tactics In Genetic Programming
AnkitBakshi.html
PallaviPandit.html
SantoshEaso.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.414.3468 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.414.3468
http___www.ijetae.com_Volume2Issue12.html http://www.ijetae.com/Volume2Issue12.html
http___www.ijetae.com_files_Volume2Issue12_IJETAE_1212_59.pdf http://www.ijetae.com/files/Volume2Issue12/IJETAE_1212_59.pdf
Bakurov:2018:evoMusArt Non-photorealistic Rendering with Cartesian Genetic Programming Using Graphics Processing Units
IllyaBakurov.html
BrianJRoss.html
http___dx.doi.org_10.1007_978-3-319-77583-8_3 http://dx.doi.org/10.1007/978-3-319-77583-8_3
Bakurov:2019:evoapplications Supporting Medical Decisions for Treating Rare Diseases through Genetic Programming
IllyaBakurov.html
LeonardoVanneschi.html
MauroCastelli.html
MariaJoaoFreitas.html
http___hdl.handle.net_10362_91519 http://hdl.handle.net/10362/91519
https___run.unl.pt_bitstream_10362_91519_1_Supporting_medical_decisions_treating_rare_diseases_through_genetic_programming.pdf https://run.unl.pt/bitstream/10362/91519/1/Supporting_medical_decisions_treating_rare_diseases_through_genetic_programming.pdf
http___dx.doi.org_10.1007_978-3-030-16692-2_13 http://dx.doi.org/10.1007/978-3-030-16692-2_13
DBLP:conf/ijcci/BakurovCFV19 A Regression-like Classification System for Geometric Semantic Genetic Programming
IllyaBakurov.html
MauroCastelli.html
FrancescoRFontanella.html
LeonardoVanneschi.html
https___doi.org_10.5220_0008052900400048 https://doi.org/10.5220/0008052900400048
http___dx.doi.org_10.5220_0008052900400048 http://dx.doi.org/10.5220/0008052900400048
https___dblp.org_rec_conf_ijcci_BakurovCFV19.bib https://dblp.org/rec/conf/ijcci/BakurovCFV19.bib
Bakurov:2021:AS General Purpose Optimization Library (GPOL): A Flexible and Efficient Multi-Purpose Optimization Library in Python
IllyaBakurov.html
MarcoBuzzelli.html
MauroCastelli.html
LeonardoVanneschi.html
RaimondoSchettini.html
https___www.mdpi.com_2076-3417_11_11_4774 https://www.mdpi.com/2076-3417/11/11/4774
http___dx.doi.org_10.3390_app11114774 http://dx.doi.org/10.3390/app11114774
https___gitlab.com_ibakurov_general-purpose-optimization-library https://gitlab.com/ibakurov/general-purpose-optimization-library
BAKUROV:2021:SEC Genetic programming for stacked generalization
IllyaBakurov.html
MauroCastelli.html
OlivierGau.html
FrancescoRFontanella.html
LeonardoVanneschi.html
http___dx.doi.org_10.1016_j.swevo.2021.100913 http://dx.doi.org/10.1016/j.swevo.2021.100913
https___www.sciencedirect.com_science_article_pii_S2210650221000742 https://www.sciencedirect.com/science/article/pii/S2210650221000742
BAKUROV:2022:SEC A novel binary classification approach based on geometric semantic genetic programming
IllyaBakurov.html
MauroCastelli.html
FrancescoRFontanella.html
AlessandraScottodiFreca.html
LeonardoVanneschi.html
http___dx.doi.org_10.1016_j.swevo.2021.101028 http://dx.doi.org/10.1016/j.swevo.2021.101028
https___www.sciencedirect.com_science_article_pii_S2210650221001905 https://www.sciencedirect.com/science/article/pii/S2210650221001905
bakurov:2022:GECCO Genetic Programming for Structural Similarity Design at Multiple Spatial Scales
IllyaBakurov.html
MarcoBuzzelli.html
MauroCastelli.html
RaimondoSchettini.html
LeonardoVanneschi.html
http___dx.doi.org_10.1145_3512290.3528783 http://dx.doi.org/10.1145/3512290.3528783
Bakurov:thesis Soft computing for Ill Posed Problems in Computer Vision
IllyaBakurov.html
http___hdl.handle.net_10362_144500 http://hdl.handle.net/10362/144500
DBLP:journals/tip/BakurovBSCV23 Full-Reference Image Quality Expression via Genetic Programming
IllyaBakurov.html
MarcoBuzzelli.html
RaimondoSchettini.html
MauroCastelli.html
LeonardoVanneschi.html
https___doi.org_10.1109_TIP.2023.3244662 https://doi.org/10.1109/TIP.2023.3244662
http___dx.doi.org_10.1109_TIP.2023.3244662 http://dx.doi.org/10.1109/TIP.2023.3244662
https___dblp.org_rec_journals_tip_BakurovBSCV23.bib https://dblp.org/rec/journals/tip/BakurovBSCV23.bib
Bakurov:2023:GPEM Semantic segmentation network stacking with genetic programming
IllyaBakurov.html
MarcoBuzzelli.html
RaimondoSchettini.html
MauroCastelli.html
LeonardoVanneschi.html
https___rdcu.be_drZeF https://rdcu.be/drZeF
http___dx.doi.org_10.1007_s10710-023-09464-0 http://dx.doi.org/10.1007/s10710-023-09464-0
Bakurov:2024:GPEM Geometric semantic genetic programming with normalized and standardized random programs
IllyaBakurov.html
JoseManuelMunozContreras.html
MauroCastelli.html
NunoMiguelRodriguesDomingos.html
SaraSilva.html
LeonardoTrujillo.html
LeonardoVanneschi.html
https___rdcu.be_dysci https://rdcu.be/dysci
http___dx.doi.org_10.1007_s10710-024-09479-1 http://dx.doi.org/10.1007/s10710-024-09479-1
Balandina:2017:PCS Control System Synthesis by Means of Cartesian Genetic Programming
GalinaIvanovaBalandina.html
http___dx.doi.org_10.1016_j.procs.2017.01.051 http://dx.doi.org/10.1016/j.procs.2017.01.051
http___www.sciencedirect.com_science_article_pii_S1877050917300522 http://www.sciencedirect.com/science/article/pii/S1877050917300522
Balasubramaniam:2009:GPEM Solution of matrix Riccati differential equation for nonlinear singular system using genetic programming
PBalasubramaniam.html
AVincentAntonyKumar.html
http___dx.doi.org_10.1007_s10710-008-9072-z http://dx.doi.org/10.1007/s10710-008-9072-z
Balazs:2010:ieee-fuzz Hierarchical fuzzy system modeling by Genetic and Bacterial Programming approaches
KrisztianBalazs.html
JanosBotzheim.html
LaszloTKoczy.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_botzheim_Balazs_2010_ieee-fuzz.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/botzheim/Balazs_2010_ieee-fuzz.pdf
http___dx.doi.org_10.1109_FUZZY.2010.5584220 http://dx.doi.org/10.1109/FUZZY.2010.5584220
Balazs:2010:WAC Hierarchical fuzzy system construction applying genetic and bacterial programming algorithms with expression tree building restrictions
KrisztianBalazs.html
JanosBotzheim.html
LaszloTKoczy.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_botzheim_Balazs_2010_WAC.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/botzheim/Balazs_2010_WAC.pdf
http___ieeexplore.ieee.org_xpls_abs_all.jsp_arnumber_5665326 http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5665326
Balazs:2011:ieeeFUZZ Hierarchical-interpolative fuzzy system construction by Genetic and Bacterial Programming Algorithms
KrisztianBalazs.html
LaszloTKoczy.html
http___dx.doi.org_10.1109_FUZZY.2011.6007594 http://dx.doi.org/10.1109/FUZZY.2011.6007594
conf/egice/BaldockS06 Structural Topology Optimization of Braced Steel Frameworks Using Genetic Programming
RobertBaldock.html
KristinaShea.html
http___dx.doi.org_10.1007_11888598 http://dx.doi.org/10.1007/11888598
Baldominos:2016:GECCOcomp Exploring the Application of Hybrid Evolutionary Computation Techniques to Physical Activity Recognition
AlejandroBaldominosGomez.html
CarmendelBarrio.html
YagoSaez.html
http___dx.doi.org_10.1145_2908961.2931732 http://dx.doi.org/10.1145/2908961.2931732
Baldominos:2018:Sensors Evolutionary Design of Convolutional Neural Networks for Human Activity Recognition in Sensor-Rich Environments
AlejandroBaldominosGomez.html
YagoSaez.html
PedroIsasiVinuela.html
http___www.mdpi.com_1424-8220_18_4_1288 http://www.mdpi.com/1424-8220/18/4/1288
http___dx.doi.org_10.3390_s18041288 http://dx.doi.org/10.3390/s18041288
Baldwin:1999:SIF System Identification of Fuzzy Cartesian Granules Feature Models Using Genetic Programming
JamesFBaldwin.html
TrevorPMartin.html
JamesGShanahan.html
http___www.springeronline.com_sgw_cda_frontpage_0_11855_5-164-22-1637718-0_00.html http://www.springeronline.com/sgw/cda/frontpage/0,11855,5-164-22-1637718-0,00.html
Baldwin:1999:IJAR Controlling with words using automatically identified fuzzy Cartesian granule feature models
JamesFBaldwin.html
TrevorPMartin.html
JamesGShanahan.html
http___www.sciencedirect.com_science_article_B6V07-3XWJVTP-K_1_fca9fc7ee54707e1f2ed9847e29c1b7e http://www.sciencedirect.com/science/article/B6V07-3XWJVTP-K/1/fca9fc7ee54707e1f2ed9847e29c1b7e
balic:book Flexible Manufacturing Systems; Development - Structure - Operation - Handling - Tooling
JozeBalic.html
http___www.amazon.com_Contribution-integrated-manufacturing-Publishing-Manufacturing_dp_3901509038_ref_sr_1_1_ie_UTF8_s_books_qid_1254069037_sr_1-1 http://www.amazon.com/Contribution-integrated-manufacturing-Publishing-Manufacturing/dp/3901509038/ref=sr_1_1?ie=UTF8&s=books&qid=1254069037&sr=1-1
oai:CiteSeerPSU:316448 Modeling Of Mechanical Parts Compositions Using Genetic Programming
JozeBalic.html
MiranBrezocnik.html
FranciCus.html
http___citeseer.ist.psu.edu_316448.html http://citeseer.ist.psu.edu/316448.html
http___citeseer.ist.psu.edu_cache_papers_cs_13061_http_zSzzSzwww.faim2000.isr.umd.eduzSzfaimzSzexportzSz27e8am-b.pdf_modeling-of-mechanical-parts.pdf http://citeseer.ist.psu.edu/cache/papers/cs/13061/http:zSzzSzwww.faim2000.isr.umd.eduzSzfaimzSzexportzSz27e8am-b.pdf/modeling-of-mechanical-parts.pdf
Balic:2002:EAAI An on-line predictive system for steel wire straightening using genetic programming
JozeBalic.html
MihaNastran.html
https___repozitorij.uni-lj.si_IzpisGradiva.php_id_43335_lang_slv https://repozitorij.uni-lj.si/IzpisGradiva.php?id=43335&lang=slv
http___dx.doi.org_10.1016_S0952-1976_03_00021-6 http://dx.doi.org/10.1016/S0952-1976(03)00021-6
Balic:2006:JIM Intelligent Programming of CNC Turning Operations using Genetic Algorithm
JozeBalic.html
MihaKovacic.html
BostjanVaupotic.html
http___dx.doi.org_10.1007_s10845-005-0001-1 http://dx.doi.org/10.1007/s10845-005-0001-1
Balicki:2006:IJCSNS Multicriterion Genetic Programming for Trajectory Planning of Underwater Vehicle
JerzyBalicki.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.385.5889 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.385.5889
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.385.5889.pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.385.5889.pdf
http___digilib.unsri.ac.id_download_200612A01.pdf http://digilib.unsri.ac.id/download/200612A01.pdf
conf/icsoft/Balicki07 Multi-Criterion Genetic Programming With Negative Selection for Finding Pareto Solutions
JerzyBalicki.html
http___www.icsoft.org_Abstracts_2007_ICSOFT_2007_Abstracts.htm http://www.icsoft.org/Abstracts/2007/ICSOFT_2007_Abstracts.htm
http___dx.doi.org_10.5220_0001336201200127 http://dx.doi.org/10.5220/0001336201200127
Balicki:2013:HSI Genetic Programming with Negative Selection for Volunteer Computing System Optimization
JerzyBalicki.html
WaldemarKorlub.html
HenrykKrawczyk.html
JacekPaluszak.html
http___dx.doi.org_10.1109_HSI.2013.6577835 http://dx.doi.org/10.1109/HSI.2013.6577835
series/sci/BalickiKKP14 Genetic Programming for Interaction Efficient Supporting in Volunteer Computing Systems
JerzyBalicki.html
WaldemarKorlub.html
HenrykKrawczyk.html
JacekPaluszak.html
http___dx.doi.org_10.1007_978-3-319-06883-1_11 http://dx.doi.org/10.1007/978-3-319-06883-1_11
http___dx.doi.org_10.1007_978-3-319-06883-1_11 http://dx.doi.org/10.1007/978-3-319-06883-1_11
http___dx.doi.org_10.1007_978-3-319-06883-1 http://dx.doi.org/10.1007/978-3-319-06883-1
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WaldemarKorlub.html
JulianSzymanski.html
MarcinZakidalski.html
http___dx.doi.org_10.1007_978-3-319-07173-2 http://dx.doi.org/10.1007/978-3-319-07173-2
Balicki:2015:HSI Collective citizens' behavior modelling with support of the Internet of Things and Big Data
JerzyBalicki.html
MichalBeringer.html
WaldemarKorlub.html
PiotrPrzybylek.html
MaciejTyszka.html
MarcinZadroga.html
http___dx.doi.org_10.1109_HSI.2015.7170644 http://dx.doi.org/10.1109/HSI.2015.7170644
BALLANDIES:2021:MM Mobile link prediction: Automated creation and crowdsourced validation of knowledge graphs
MarkCBallandies.html
EvangelosPournaras.html
http___dx.doi.org_10.1016_j.micpro.2021.104335 http://dx.doi.org/10.1016/j.micpro.2021.104335
https___www.sciencedirect.com_science_article_pii_S0141933121004944 https://www.sciencedirect.com/science/article/pii/S0141933121004944
Baltes:2020:GI9 An Annotated Dataset of Stack Overflow Post Edits
SebastianBaltes.html
MarkusWagner.html
https___dl.acm.org_doi_abs_10.1145_3377929.3398108 https://dl.acm.org/doi/abs/10.1145/3377929.3398108
http___www.cs.ucl.ac.uk_staff_W.Langdon_gecco2020_companion_files_wksp144s2-file1.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/gecco2020/companion_files/wksp144s2-file1.pdf
https___arxiv.org_abs_2004.08193 https://arxiv.org/abs/2004.08193
http___dx.doi.org_10.1145_3377929.3398108 http://dx.doi.org/10.1145/3377929.3398108
https___doi.org_10.5281_zenodo.3754159 https://doi.org/10.5281/zenodo.3754159
Baltes:2023:GI All about the money: Cost modeling and optimization of cloud applications
SebastianBaltes.html
http___gpbib.cs.ucl.ac.uk_gi2023_keynote_2023_gi.pdf http://gpbib.cs.ucl.ac.uk/gi2023/keynote_2023_gi.pdf
http___dx.doi.org_10.1109_GI59320.2023.00008 http://dx.doi.org/10.1109/GI59320.2023.00008
http___gpbib.cs.ucl.ac.uk_gi2023_Sebastian_Baltes_Keynote_Cloud_Cost.pdf http://gpbib.cs.ucl.ac.uk/gi2023/Sebastian_Baltes_Keynote_Cloud_Cost.pdf
https___empirical-software.engineering_talks_ https://empirical-software.engineering/talks/
http___gpbib.cs.ucl.ac.uk_gi2023_GI_ICSE2023_Keynote_Sebastian_Baltes.mp4 http://gpbib.cs.ucl.ac.uk/gi2023/GI_ICSE2023_Keynote_Sebastian_Baltes.mp4
http___gpbib.cs.ucl.ac.uk_gi2023_GI_ICSE2023_Keynote_Sebastian_Baltes.mov http://gpbib.cs.ucl.ac.uk/gi2023/GI_ICSE2023_Keynote_Sebastian_Baltes.mov
https___www.youtube.com_watch_v_M8gH0qPcJHQ_list_PLI8fiFpB7BoJLh6cUpGBjyeB1hM9DET1V_index_5 https://www.youtube.com/watch?v=M8gH0qPcJHQ&list=PLI8fiFpB7BoJLh6cUpGBjyeB1hM9DET1V&index=5
baluja:1994:taaecgi Towards Automated Artificial Evolution for Computer-generated Images
ShumeetBaluja.html
DeanPomerleau.html
ToddJochem.html
http___www.ri.cmu.edu_pubs_pub_1718.html http://www.ri.cmu.edu/pubs/pub_1718.html
http___www.ri.cmu.edu_pub_files_pub3_baluja_shumeet_1994_1_baluja_shumeet_1994_1.pdf http://www.ri.cmu.edu/pub_files/pub3/baluja_shumeet_1994_1/baluja_shumeet_1994_1.pdf
Balzer:1985:ieeeTSE A 15 Year Perspective on Automatic Programming
RobertBalzer.html
http___dx.doi.org_10.1109_TSE.1985.231877 http://dx.doi.org/10.1109/TSE.1985.231877
bamshad:2022:Machines Comparison between Genetic Programming and Dynamic Models for Compact Electrohydraulic Actuators
HamidBamshad.html
SeongwonJang.html
HyemiJeong.html
JaesungLee.html
HyunseokYang.html
https___www.mdpi.com_2075-1702_10_10_961 https://www.mdpi.com/2075-1702/10/10/961
http___dx.doi.org_10.3390_machines10100961 http://dx.doi.org/10.3390/machines10100961
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SunithBandaru.html
KalyanmoyDeb.html
https___www.egr.msu.edu__kdeb_papers_k2012015.pdf https://www.egr.msu.edu/~kdeb/papers/k2012015.pdf
http___dx.doi.org_10.1007_978-3-642-37140-0 http://dx.doi.org/10.1007/978-3-642-37140-0
http___dx.doi.org_10.1007_978-3-642-37140-0_39 http://dx.doi.org/10.1007/978-3-642-37140-0_39
Bandaru_thesis Automated Innovization: Knowledge discovery through multi-objective optimization
SunithBandaru.html
https___drive.google.com_file_d_0B8WHZC_8VuhxZ3FWenBfa19MSDQ_view https://drive.google.com/file/d/0B8WHZC_8VuhxZ3FWenBfa19MSDQ/view
https___www.iitk.ac.in_kangal_deb_phd.shtml https://www.iitk.ac.in/kangal/deb_phd.shtml
Bandaru:2015:EJOR Generalized higher-level automated innovization with application to inventory management
SunithBandaru.html
TehseenAslam.html
AmosHCNg.html
KalyanmoyDeb.html
http___dx.doi.org_10.1016_j.ejor.2014.11.015 http://dx.doi.org/10.1016/j.ejor.2014.11.015
http___www.sciencedirect.com_science_article_pii_S0377221714009199 http://www.sciencedirect.com/science/article/pii/S0377221714009199
Banerjee:2020:SSCI Evolving Optimal Convolutional Neural Networks
SubhashisBanerjee.html
SushmitaMitra.html
http___dx.doi.org_10.1109_SSCI47803.2020.9308201 http://dx.doi.org/10.1109/SSCI47803.2020.9308201
Bang:2013:IJCAS An Approach of Genetic Programming for Music Emotion Classification
Sung-WooBang.html
JaekwangKim.html
Jee-HyongLee.html
http___dx.doi.org_10.1007_s12555-012-9407-7 http://dx.doi.org/10.1007/s12555-012-9407-7
Banga:2013:ijset Computational Hybrids Towards Software Defect Predictions
ManuBanga.html
http___ijset.com_ijset_publication_v2s5_paper1.pdf http://ijset.com/ijset/publication/v2s5/paper1.pdf
http___ijset.com_archive_v2i5 http://ijset.com/archive/v2i5
Baniasadi:2015:GPEM Exploring non-photorealistic rendering with genetic programming
MaryamBaniasadi.html
BrianJRoss.html
http___dx.doi.org_10.1007_s10710-014-9234-0 http://dx.doi.org/10.1007/s10710-014-9234-0
Banik:2015:ICCIT Forecasting US NASDAQ stock index values using hybrid forecasting systems
ShipraBanik.html
AFMKhodadadKhan.html
http___dx.doi.org_10.1109_ICCITechn.2015.7488083 http://dx.doi.org/10.1109/ICCITechn.2015.7488083
banks:2004:lbp Parametric Regression Through Genetic Programming
EdwinRogerBanks.html
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banks:2004:msa:erban Parametric Regression Through Genetic Programming
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Banks:gecco05lbp Genetic Programming for Discrimination of Buried Unexploded Ordnance (UXO)
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Banks:gecco06lbp A Comparison of Evolutionary Computing Techniques Used to Model Bi-Directional Reflectance Distribution Functions
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DBLP:conf/gecco/BanksAMO09 A comparison of selection, recombination, and mutation parameter importance over a set of fifteen optimization tasks
EdwinRogerBanks.html
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MarshallMcBride.html
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http___dx.doi.org_10.1145_1570256.1570261 http://dx.doi.org/10.1145/1570256.1570261
DBLP:conf/gecco/BanksAMO09a Lessons learned in application of evolutionary computation to a set of optimization tasks
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http___dx.doi.org_10.1145_1570256.1570262 http://dx.doi.org/10.1145/1570256.1570262
Banks:2009:HPCMP-UGC Evolving Image Noise Filters through Genetic Programming
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http___dx.doi.org_10.1109_HPCMP-UGC.2009.50 http://dx.doi.org/10.1109/HPCMP-UGC.2009.50
DBLP:conf/gecco/BanksAMO09b Toward a universal operator encoding for genetic programming
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MarshallMcBride.html
ClaudetteOwens.html
http___dx.doi.org_10.1145_1570256.1570263 http://dx.doi.org/10.1145/1570256.1570263
Bannister:2014:VH Automatic development of clinical prediction models with genetic programming: A case study in cardiovascular disease
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IrenaSpasic.html
http___dx.doi.org_10.1016_j.jval.2014.03.1171 http://dx.doi.org/10.1016/j.jval.2014.03.1171
http___www.sciencedirect.com_science_article_pii_S1098301514012224 http://www.sciencedirect.com/science/article/pii/S1098301514012224
phd/ethos/Bannister15 Automated Development of Clinical Prediction Models Using Genetic Programming
ChristianBannister.html
http___orca.cf.ac.uk_90825_ http://orca.cf.ac.uk/90825/
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http___ethos.bl.uk_OrderDetails.do_uin_uk.bl.ethos.685486 http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.685486
banzhaf:mrl:tech Genetic Programming for Pedestrians
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banzhaf:mrl Genetic Programming for Pedestrians
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http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_ftp.io.com_papers_GenProg_forPed.ps.Z http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/ftp.io.com/papers/GenProg_forPed.ps.Z
banzhaf:1994:ppsn3 Genotype-Phenotype-Mapping and Neutral Variation -- A case study in Genetic Programming
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http___dx.doi.org_10.1007_3-540-58484-6_276 http://dx.doi.org/10.1007/3-540-58484-6_276
banzhaf:1997:gabrrfr Generating Adaptive Behavior for a Real Robot using Function Regression within Genetic Programming
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Banzhaf:1997:HEC Interactive Evolution
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http___dx.doi.org_10.1201_9781420050387.ptc http://dx.doi.org/10.1201/9781420050387.ptc
banzhaf:1997:book Genetic Programming -- An Introduction; On the Automatic Evolution of Computer Programs and its Applications
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https___www.amazon.co.uk_Genetic-Programming-Introduction-Artificial-Intelligence_dp_155860510X https://www.amazon.co.uk/Genetic-Programming-Introduction-Artificial-Intelligence/dp/155860510X
banzhaf:1998:GP Genetic Programming
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http___dx.doi.org_10.1007_BFb0055923 http://dx.doi.org/10.1007/BFb0055923
lemonde:1998:23apr Les Robots inventeent la vie
banzhaf:1999:gecco99 GECCO-99: Proceedings of the Genetic and Evolutionary Computation Conference
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oai:CiteSeerPSU:400591 Artificial Intelligence: Genetic Programming
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oai:CiteSeerPSU:324880 Hierarchical Genetic Programming Using Local Modules
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banzhaf:2000:IJ Hierarchical Genetic Programming using Local Modules
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banzhaf:2000:genpletter Some considerations on the reason for bloat
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http___web.cs.mun.ca__banzhaf_papers_genp_bloat.pdf http://web.cs.mun.ca/~banzhaf/papers/genp_bloat.pdf
http___dx.doi.org_10.1023_A_1014548204452 http://dx.doi.org/10.1023/A:1014548204452
banzhaf:2000:IS The artificial evolution of computer code
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http___dx.doi.org_10.1109_5254.846288 http://dx.doi.org/10.1109/5254.846288
Banzhaf2001789 Artificial Intelligence: Genetic Programming
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http___dx.doi.org_10.1016_B0-08-043076-7_00557-X http://dx.doi.org/10.1016/B0-08-043076-7/00557-X
http___www.sciencedirect.com_science_article_B7MRM-4MT09VJ-403_2_fa4e06852750b95eb2734f9ca37ae6ad http://www.sciencedirect.com/science/article/B7MRM-4MT09VJ-403/2/fa4e06852750b95eb2734f9ca37ae6ad
banzhaf:2003:GPTP Artificial Regulatory Networks and Genetic Programming
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http___www.springer.com_computer_ai_book_978-1-4020-7581-0 http://www.springer.com/computer/ai/book/978-1-4020-7581-0
http___dx.doi.org_10.1007_978-1-4419-8983-3_4 http://dx.doi.org/10.1007/978-1-4419-8983-3_4
banzhaf:2003:ACI Genetic Programming and Its Application in Machining Technology
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MarcStautner.html
KlausWeinert.html
http___www.cs.mun.ca__banzhaf_papers_CI-book-chapter.pdf http://www.cs.mun.ca/~banzhaf/papers/CI-book-chapter.pdf
http___www.springer.com_computer_ai_book_978-3-540-43269-2 http://www.springer.com/computer/ai/book/978-3-540-43269-2
Banzhaf:2004:SSP Artificial chemistries - Toward Constructive Dynamical Systems
WolfgangBanzhaf.html
http___dx.doi.org_10.4028_www.scientific.net_SSP.97-98.43 http://dx.doi.org/10.4028/www.scientific.net/SSP.97-98.43
Banzhaf:2004:JBPC Network motifs in natural and artificial transcriptional regulatory networks
WolfgangBanzhaf.html
PDwightKuo.html
https___www.cs.mun.ca__banzhaf_papers_JBPC.pdf https://www.cs.mun.ca/~banzhaf/papers/JBPC.pdf
http___www.amsi.ge_jbpc_20404_2040405.html http://www.amsi.ge/jbpc/20404/2040405.html
http___www.amsi.ge_jbpc_20404_jbpc20404.html http://www.amsi.ge/jbpc/20404/jbpc20404.html
banzhaf:2004:biogec Editorial Introduction
WolfgangBanzhaf.html
JamesAFoster.html
http___dx.doi.org_10.1023_B_GENP.0000023710.47388.8b http://dx.doi.org/10.1023/B:GENP.0000023710.47388.8b
banzhaf:2004:GPTP Genetic Programming of an Algorithmic Chemistry
WolfgangBanzhaf.html
ChristianWGLasarczyk.html
http___www.cs.mun.ca__banzhaf_papers_algochem.pdf http://www.cs.mun.ca/~banzhaf/papers/algochem.pdf
http___dx.doi.org_10.1007_0-387-23254-0_11 http://dx.doi.org/10.1007/0-387-23254-0_11
banzhaf:2004:cc The Challenge of Complexity
WolfgangBanzhaf.html
JulianFMiller.html
http___www.cs.mun.ca__banzhaf_papers_challenge_rev.pdf http://www.cs.mun.ca/~banzhaf/papers/challenge_rev.pdf
http___dx.doi.org_10.1007_1-4020-7782-3_11 http://dx.doi.org/10.1007/1-4020-7782-3_11
banzhaf:2005:cPC Challenging the Program Counter
WolfgangBanzhaf.html
http___www.cs.york.ac.uk_nature_workshop_papers_Banzhaf.pdf http://www.cs.york.ac.uk/nature/workshop/papers/Banzhaf.pdf
banzhaf:2005:GPTP Evolution on Neutral Networks in Genetic Programming
WolfgangBanzhaf.html
AndreLeier.html
http___www.cs.mun.ca__banzhaf_papers_GPTP3.pdf http://www.cs.mun.ca/~banzhaf/papers/GPTP3.pdf
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.137.7947 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.137.7947
http___dx.doi.org_10.1007_0-387-28111-8_14 http://dx.doi.org/10.1007/0-387-28111-8_14
Banzhaf:2006:NRG From Artificial Evolution to Computational Evolution: A Research Agenda
WolfgangBanzhaf.html
GuillaumeBeslon.html
SteffenChristensen.html
JamesAFoster.html
FrancoisKepes.html
VirginieLefort.html
JulianFMiller.html
MiroslavRadman.html
JeremyJRamsden.html
http___dx.doi.org_10.1038_nrg1921 http://dx.doi.org/10.1038/nrg1921
Banzhaf:2007:Complexity Why Complex Systems Engineering needs Biological Development
WolfgangBanzhaf.html
NelishiaPillay.html
https___onlinelibrary.wiley.com_doi_pdf_10.1002_cplx.20199.pdf https://onlinelibrary.wiley.com/doi/pdf/10.1002/cplx.20199.pdf
http___dx.doi.org_10.1002_cplx.20199 http://dx.doi.org/10.1002/cplx.20199
Banzhaf:2008:GPTP Accelerating Genetic Programming through Graphics Processing Units
WolfgangBanzhaf.html
SimonHarding.html
WilliamBLangdon.html
GarnettCarlWilson.html
http___dx.doi.org_10.1007_978-0-387-87623-8_15 http://dx.doi.org/10.1007/978-0-387-87623-8_15
Banzhaf:2013:EB Evolutionary Computation and Genetic Programming
WolfgangBanzhaf.html
http___dx.doi.org_10.1016_B978-0-12-415995-2.00017-9 http://dx.doi.org/10.1016/B978-0-12-415995-2.00017-9
http___www.sciencedirect.com_science_article_pii_B9780124159952000179 http://www.sciencedirect.com/science/article/pii/B9780124159952000179
Banzhaf:2014:GPEM Genetic Programming and Emergence
WolfgangBanzhaf.html
http___dx.doi.org_10.1007_s10710-013-9196-7 http://dx.doi.org/10.1007/s10710-013-9196-7
Banzhaf_reply:2014:GPEM Response to comments on ''Genetic Programming and Emergence''
WolfgangBanzhaf.html
http___dx.doi.org_10.1007_s10710-013-9207-8 http://dx.doi.org/10.1007/s10710-013-9207-8
Banzhaf:2016:TBS Defining and Simulating Open-Ended Novelty: Requirements, Guidelines, and Challenges
WolfgangBanzhaf.html
BertBaumgaertner.html
GuillaumeBeslon.html
ReneDoursat.html
JamesAFoster.html
BarryMcMullin.html
ViniciusVelosodeMelo.html
ThomasMiconi.html
LeeSpector.html
SusanStepney.html
RogerWhite.html
http___dx.doi.org_10.1007_s12064-016-0229-7 http://dx.doi.org/10.1007/s12064-016-0229-7
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WolfgangBanzhaf.html
RandalSOlson.html
WilliamTozier.html
RickLRiolo.html
http___www.springer.com_gb_book_9783319905112 http://www.springer.com/gb/book/9783319905112
http___dx.doi.org_10.1007_978-3-319-90512-9 http://dx.doi.org/10.1007/978-3-319-90512-9
Banzhaf:2017:miller Some Remarks on Code Evolution with Genetic Programming
WolfgangBanzhaf.html
http___dx.doi.org_10.1007_978-3-319-67997-6_6 http://dx.doi.org/10.1007/978-3-319-67997-6_6
Banzhaf:2018:GPTP Genetic Programming Theory and Practice XVI
WolfgangBanzhaf.html
LeeSpector.html
LeighSheneman.html
http___dx.doi.org_10.1007_978-3-030-04735-1 http://dx.doi.org/10.1007/978-3-030-04735-1
Banzhaf:2019:GPTP Genetic Programming Theory and Practice XVII
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ErikGoodman.html
LeighSheneman.html
LeonardoTrujillo.html
WilliamPWorzel.html
https___link.springer.com_book_10.1007_978-3-030-39958-0 https://link.springer.com/book/10.1007/978-3-030-39958-0
https___doi.org_10.1007_978-3-030-39958-0 https://doi.org/10.1007/978-3-030-39958-0
http___dx.doi.org_10.1007_978-3-030-39958-0 http://dx.doi.org/10.1007/978-3-030-39958-0
Banzhaf:2021:GPTP Genetic Programming Theory and Practice XVIII
WolfgangBanzhaf.html
LeonardoTrujillo.html
StephanMWinkler.html
WilliamPWorzel.html
https___link.springer.com_book_9789811681127 https://link.springer.com/book/9789811681127
http___dx.doi.org_10.1007_978-981-16-8113-4 http://dx.doi.org/10.1007/978-981-16-8113-4
Banzhaf:2022:GPTP Genetic Programming Theory and Practice XIX
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SaraSilva.html
WolfgangBanzhaf.html
https___link.springer.com_book_9789811984594 https://link.springer.com/book/9789811984594
http___dx.doi.org_10.1007_978-981-19-8460-0 http://dx.doi.org/10.1007/978-981-19-8460-0
Banzhaf:2022:GPTP.2 Correlation versus RMSE Loss Functions in Symbolic Regression Tasks
NathanielHaut.html
WolfgangBanzhaf.html
WilliamFPunch.html
http___dx.doi.org_10.1007_978-981-19-8460-0_2 http://dx.doi.org/10.1007/978-981-19-8460-0_2
Banzhaf:2023:GPTP How the Combinatorics of Neutral Spaces Leads Genetic Programming to Discover Simple Solutions
WolfgangBanzhaf.html
TingHu.html
GabrielaOchoa.html
http___dx.doi.org_10.1007_978-981-99-8413-8_4 http://dx.doi.org/10.1007/978-981-99-8413-8_4
Bao:2009:ICNC A Review on Cutting-Edge Techniques in Evolutionary Algorithms
YunBao.html
ErboZhao.html
XiaocongGan.html
DanLuo.html
ZhangangHan.html
http___dx.doi.org_10.1109_ICNC.2009.459 http://dx.doi.org/10.1109/ICNC.2009.459
ceg_baptist_20050418 Modelling floodplain biogeomorphology
MartinJBaptist.html
https___repository.tudelft.nl_islandora_object_uuid_3Ab2739720-e2f6-40e2-b55f-1560f434cbee https://repository.tudelft.nl/islandora/object/uuid%3Ab2739720-e2f6-40e2-b55f-1560f434cbee
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Baptist:2007:JHR On inducing equations for vegetation resistance
MartinJBaptist.html
VladanBabovic.html
JavierRodriguezUthurburu.html
MaartenKeijzer.html
RobUittenbogaard.html
ArthurMynett.html
AdriVerwey.html
http___dx.doi.org_10.1080_00221686.2007.9521778 http://dx.doi.org/10.1080/00221686.2007.9521778
baradavka03 Assembling Strategies in Extrinsic Evolvable Hardware with Bidirectional Incremental Evolution
IgorBaradavka.html
TatianaKalganova.html
http___dx.doi.org_10.1007_3-540-36599-0_25 http://dx.doi.org/10.1007/3-540-36599-0_25
Barakova:2015:ieeeMMS Automatic Interpretation of Affective Facial Expressions in the Context of Interpersonal Interaction
EmiliaIBarakova.html
RomanGorbunov.html
MatthiasRauterberg.html
http___dx.doi.org_10.1109_THMS.2015.2419259 http://dx.doi.org/10.1109/THMS.2015.2419259
Baral:2017:SSI Impedance spectroscopy of Gd-doped ceria analyzed by genetic programming (ISGP) method
BaralAshok-Kumar.html
YoedTsur.html
http___dx.doi.org_10.1016_j.ssi.2017.04.003 http://dx.doi.org/10.1016/j.ssi.2017.04.003
http___www.sciencedirect.com_science_article_pii_S0167273816309419 http://www.sciencedirect.com/science/article/pii/S0167273816309419
baraldi:2021:Metals 316L(N) Creep Modeling with Phenomenological Approach and Artificial Intelligence Based Methods
DanieleBaraldi.html
StefanHolmstrom.html
Karl-FredrikNilsson.html
MatthiasBruchhausen.html
IgorSimonovski.html
https___www.mdpi.com_2075-4701_11_5_698 https://www.mdpi.com/2075-4701/11/5/698
http___dx.doi.org_10.3390_met11050698 http://dx.doi.org/10.3390/met11050698
barash:1998:mGAofsalf Micro Genetic Algorithms in Finding the Optimal Frequency for Stabilizing Atoms by High-intensity Laser Fields
DannyBarash.html
AnnOrel.html
VRaoVemuri.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.52.1378 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.52.1378
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.52.1378.pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.52.1378.pdf
DBLP:conf/ae/BarateM07 Automatic Design of Vision-Based Obstacle Avoidance Controllers Using Genetic Programming
RenaudBarate.html
AntoineManzanera.html
http___dx.doi.org_10.1007_978-3-540-79305-2_3 http://dx.doi.org/10.1007/978-3-540-79305-2_3
Barate:2008:gecco Generalization performance of vision based controllers for mobile robots evolved with genetic programming
RenaudBarate.html
AntoineManzanera.html
http___gpbib.cs.ucl.ac.uk_gecco2008_docs_p1331.pdf http://gpbib.cs.ucl.ac.uk/gecco2008/docs/p1331.pdf
http___dx.doi.org_10.1145_1389095.1389349 http://dx.doi.org/10.1145/1389095.1389349
DBLP:conf/sab/BarateM08 Evolving Vision Controllers with a Two-Phase Genetic Programming System Using Imitation
RenaudBarate.html
AntoineManzanera.html
http___dx.doi.org_10.1007_978-3-540-69134-1_8 http://dx.doi.org/10.1007/978-3-540-69134-1_8
Barate:2008:ECSIS-LAB-RS Learning Vision Algorithms for Real Mobile Robots with Genetic Programming
RenaudBarate.html
AntoineManzanera.html
http___dx.doi.org_10.1109_LAB-RS.2008.20 http://dx.doi.org/10.1109/LAB-RS.2008.20
Barate:thesis Learning Visual Functions for a Mobile Robot with Genetic Programming
RenaudBarate.html
http___www.ensta.fr__manzaner_Publis_these-barate.pdf http://www.ensta.fr/~manzaner/Publis/these-barate.pdf
https___hal.inria.fr_tel-00811614v1 https://hal.inria.fr/tel-00811614v1
Barati:2014:PT Development of empirical models with high accuracy for estimation of drag coefficient of flow around a smooth sphere: An evolutionary approach
RezaBarati.html
SeyedAliAkbarSalehiNeyshabouri.html
GoodarzAhmadi.html
http___dx.doi.org_10.1016_j.powtec.2014.02.045 http://dx.doi.org/10.1016/j.powtec.2014.02.045
http___www.sciencedirect.com_science_article_pii_S003259101400182X http://www.sciencedirect.com/science/article/pii/S003259101400182X
Barbosa:2011:CTR Genetic Programming in Civil, Structural and Environmental Engineering
HelioJCBarbosa.html
HederSoaresBernardino.html
http___www.ctresources.info_ctr_paper.html_id_32 http://www.ctresources.info/ctr/paper.html?id=32
http___dx.doi.org_10.4203_ctr.4.5 http://dx.doi.org/10.4203/ctr.4.5
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JessicaBarbosaDiniz.html
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http___dx.doi.org_10.1007_978-3-030-96302-6_61 http://dx.doi.org/10.1007/978-3-030-96302-6_61
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http___dx.doi.org_10.1016_j.molliq.2016.09.084 http://dx.doi.org/10.1016/j.molliq.2016.09.084
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MahshidKhatibiBardsiri.html
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RezaMousavi.html
http___www.inderscience.com_link.php_id_68092 http://www.inderscience.com/link.php?id=68092
http___dx.doi.org_10.1504_IJBRA.2015.068092 http://dx.doi.org/10.1504/IJBRA.2015.068092
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JonathanTBarge.html
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http___dx.doi.org_10.1145_1569901.1570030 http://dx.doi.org/10.1145/1569901.1570030
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BrendanBarlow.html
AndySong.html
http___dx.doi.org_10.1109_CEC.2013.6557716 http://dx.doi.org/10.1109/CEC.2013.6557716
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http___www.andrew.cmu.edu_user_gjb_includes_publications_thesis_barlow2004-thesis_barlow2004-thesis.pdf http://www.andrew.cmu.edu/user/gjb/includes/publications/thesis/barlow2004-thesis/barlow2004-thesis.pdf
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http___www.andrew.cmu.edu_user_gjb_includes_publications_other_barlow2004-geccolbp_barlow2004-geccolbp.pdf http://www.andrew.cmu.edu/user/gjb/includes/publications/other/barlow2004-geccolbp/barlow2004-geccolbp.pdf
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http___www.andrew.cmu.edu_user_gjb_includes_publications_conference_barlow2004-geccogsw_barlow2004-geccogsw.pdf http://www.andrew.cmu.edu/user/gjb/includes/publications/conference/barlow2004-geccogsw/barlow2004-geccogsw.pdf
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http___www.cs.cmu.edu__gjb_includes_publications_conference_barlow2004-cis_barlow2004-cis.pdf http://www.cs.cmu.edu/~gjb/includes/publications/conference/barlow2004-cis/barlow2004-cis.pdf
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http___www.cs.cmu.edu__gjb_includes_publications_conference_barlow2005-icra_barlow2005-icra.pdf http://www.cs.cmu.edu/~gjb/includes/publications/conference/barlow2005-icra/barlow2005-icra.pdf
1144023 Robustness analysis of genetic programming controllers for unmanned aerial vehicles
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http___gpbib.cs.ucl.ac.uk_gecco2006_docs_p135.pdf http://gpbib.cs.ucl.ac.uk/gecco2006/docs/p135.pdf
http___dx.doi.org_10.1145_1143997.1144023 http://dx.doi.org/10.1145/1143997.1144023
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ChoongKOh.html
StephenFSmith.html
http___gpbib.cs.ucl.ac.uk_gecco2008_docs_p177.pdf http://gpbib.cs.ucl.ac.uk/gecco2008/docs/p177.pdf
http___dx.doi.org_10.1145_1389095.1389125 http://dx.doi.org/10.1145/1389095.1389125
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http___dx.doi.org_10.1016_j.ejpb.2010.09.017 http://dx.doi.org/10.1016/j.ejpb.2010.09.017
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http___dx.doi.org_10.1016_j.chemolab.2011.01.012 http://dx.doi.org/10.1016/j.chemolab.2011.01.012
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http___dx.doi.org_10.1016_j.ijpharm.2018.09.026 http://dx.doi.org/10.1016/j.ijpharm.2018.09.026
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http___link.springer.com_article_10.1208_s12249-017-0893-z http://link.springer.com/article/10.1208/s12249-017-0893-z
http___dx.doi.org_10.1208_s12249-017-0893-z http://dx.doi.org/10.1208/s12249-017-0893-z
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https___mediaspace.msu.edu_media_Barnes_Keynote_GPTP_2021_1_obavvcra https://mediaspace.msu.edu/media/Barnes_Keynote_GPTP_2021/1_obavvcra
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KentonMBarnes.html
MichaelBGale.html
http___wrap.warwick.ac.uk_119812_1_WRAP-meta-genetic-programming-static-quantum-circuits-Gale-2019.pdf http://wrap.warwick.ac.uk/119812/1/WRAP-meta-genetic-programming-static-quantum-circuits-Gale-2019.pdf
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HowardBarnum.html
HerbertJBernstein.html
LeeSpector.html
http___arXiv.org_abs_quant-ph_9907056 http://arXiv.org/abs/quant-ph/9907056
http___arxiv.org_PS_cache_quant-ph_pdf_9907_9907056.pdf http://arxiv.org/PS_cache/quant-ph/pdf/9907/9907056.pdf
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HerbertJBernstein.html
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http___www.cs.bris.ac.uk_Publications_pub_info.jsp_id_1000497 http://www.cs.bris.ac.uk/Publications/pub_info.jsp?id=1000497
http___www.cs.bris.ac.uk_Publications_Papers_1000497.pdf http://www.cs.bris.ac.uk/Publications/Papers/1000497.pdf
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HowardBarnum.html
HerbertJBernstein.html
LeeSpector.html
http___hampshire.edu_lspector_pubs_jpa.pdf http://hampshire.edu/lspector/pubs/jpa.pdf
http___hampshire.edu_lspector_pubs_jpa.ps http://hampshire.edu/lspector/pubs/jpa.ps
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FrancescoPioBarone.html
DanieleDell'Aquila.html
MarcoRusso.html
https___iopscience.iop.org_article_10.1088_2632-2153_ad1200 https://iopscience.iop.org/article/10.1088/2632-2153/ad1200
http___dx.doi.org_10.1088_2632-2153_ad1200 http://dx.doi.org/10.1088/2632-2153/ad1200
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AntoninaStarita.html
Barr:2015:ISSTA Automated Software Transplantation
EarlBarr.html
MarkHarman.html
YueJia.html
AlexandruMarginean.html
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http___crest.cs.ucl.ac.uk_autotransplantation_ http://crest.cs.ucl.ac.uk/autotransplantation/
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http___www.human-competitive.org_sites_default_files_barr-harman-jia-marginean-petke-text.txt http://www.human-competitive.org/sites/default/files/barr-harman-jia-marginean-petke-text.txt
http___dx.doi.org_10.1145_2771783.2771796 http://dx.doi.org/10.1145/2771783.2771796
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DavidFBarrero.html
DavidCamacho.html
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http___dx.doi.org_10.1145_1830483.1830657 http://dx.doi.org/10.1145/1830483.1830657
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BonifacioCastano.html
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http___dx.doi.org_10.1007_978-3-642-20407-4_14 http://dx.doi.org/10.1007/978-3-642-20407-4_14
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BonifacioCastano.html
DavidCamacho.html
http___dx.doi.org_10.1109_CEC.2011.5949748 http://dx.doi.org/10.1109/CEC.2011.5949748
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DavidFBarrero.html
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BonifacioCastano.html
DavidCamacho.html
http___dx.doi.org_10.1109_CEC.2013.6557772 http://dx.doi.org/10.1109/CEC.2013.6557772
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BonifacioCastano.html
MaDoloresRodriguezMoreno.html
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http___dx.doi.org_10.1007_s10710-014-9238-9 http://dx.doi.org/10.1007/s10710-014-9238-9
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KevinMBarresi.html
http___doi.acm.org_10.1145_2598394.2598503 http://doi.acm.org/10.1145/2598394.2598503
http___dx.doi.org_10.1145_2598394.2598503 http://dx.doi.org/10.1145/2598394.2598503
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JohnBarrett.html
AnetaKostadinova.html
JuanAntonioRaga.html
http___dx.doi.org_10.1016_j.pt.2005.03.007 http://dx.doi.org/10.1016/j.pt.2005.03.007
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SJBarrett.html
http___www2.informatik.hu-berlin.de__scheffer_publications_ProceedingsWS2003.pdf http://www2.informatik.hu-berlin.de/~scheffer/publications/ProceedingsWS2003.pdf
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SJBarrett.html
WilliamBLangdon.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_barrett_2005_WSC.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/barrett_2005_WSC.pdf
http___isxp1010c.sims.cranfield.ac.uk_Papers_paper196.pdf http://isxp1010c.sims.cranfield.ac.uk/Papers/paper196.pdf
https___link.springer.com_chapter_10.1007_978-3-540-36266-1_10 https://link.springer.com/chapter/10.1007/978-3-540-36266-1_10
Barrett:2006:GPEM Intelligent Bioinformatics: The Application of Artificial Intelligence Techniques to Bioinformatics Problems John Wiley \& Sons Ltd., Chichester, UK, Keedwell, Edward and Narayanan, Ajit, 2005, 280 p., Hardcover, ISBN 0-470-02175-6
SJBarrett.html
http___dx.doi.org_10.1007_s10710-006-7003-4 http://dx.doi.org/10.1007/s10710-006-7003-4
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OlivierBarriere.html
EvelyneLutton.html
CedricBaudrit.html
MarietteSicard.html
BrunoPinaud.html
NathaliePerrot.html
http___metronum.futurs.inria.fr_html_Papers_files_pdf_Barriere_18-06-2008_INCALIN-PPSN2008-Final.pdf http://metronum.futurs.inria.fr/html/Papers/files/pdf/Barriere_18-06-2008_INCALIN-PPSN2008-Final.pdf
http___dx.doi.org_10.1007_978-3-540-87700-4_85 http://dx.doi.org/10.1007/978-3-540-87700-4_85
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EvelyneLutton.html
Pierre-HenriWuillemin.html
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MarietteSicard.html
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NathaliePerrot.html
http___hal.inria.fr_inria-00381681_en_ http://hal.inria.fr/inria-00381681/en/
http___hal.inria.fr_docs_00_38_16_81_PDF_RR2008.pdf http://hal.inria.fr/docs/00/38/16/81/PDF/RR2008.pdf
barro:2022:MSMASF Pricing Rainfall Derivatives by Genetic Programming: A Case Study
DianaBarro.html
FrancescaParpinel.html
ClaudioPizzi.html
http___link.springer.com_chapter_10.1007_978-3-030-99638-3_11 http://link.springer.com/chapter/10.1007/978-3-030-99638-3_11
http___dx.doi.org_10.1007_978-3-030-99638-3_11 http://dx.doi.org/10.1007/978-3-030-99638-3_11
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RodrigoCBarros.html
MarcioPortoBasgalupp.html
AndrePoncedeLeonFdeCarvalho.html
AlexAlvesFreitas.html
http___dx.doi.org_10.1145_2001858.2002050 http://dx.doi.org/10.1145/2001858.2002050
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RodrigoCBarros.html
MarcioPortoBasgalupp.html
RicardoCerri.html
TiagoSdaSilva.html
AndrePoncedeLeonFdeCarvalho.html
http___dx.doi.org_10.1145_2463372.2463546 http://dx.doi.org/10.1145/2463372.2463546
Barros2011954 Evolutionary model trees for handling continuous classes in machine learning
RodrigoCBarros.html
DuncanDubugrasRuiz.html
MarcioPortoBasgalupp.html
http___www.sciencedirect.com_science_article_B6V0C-51GHWYC-1_2_2ba74d92cb03abc637a4c377b47a4dbe http://www.sciencedirect.com/science/article/B6V0C-51GHWYC-1/2/2ba74d92cb03abc637a4c377b47a4dbe
http___dx.doi.org_10.1016_j.ins.2010.11.010 http://dx.doi.org/10.1016/j.ins.2010.11.010
Barros:2014:ieeeTEC Evolutionary Design of Decision-Tree Algorithms Tailored to Microarray Gene Expression Data Sets
RodrigoCBarros.html
MarcioPortoBasgalupp.html
AlexAlvesFreitas.html
AndrePoncedeLeonFdeCarvalho.html
http___dx.doi.org_10.1109_TEVC.2013.2291813 http://dx.doi.org/10.1109/TEVC.2013.2291813
Barros:2015:GPEM Investigating fitness functions for a hyper-heuristic evolutionary algorithm in the context of balanced and imbalanced data classification
RodrigoCBarros.html
MarcioPortoBasgalupp.html
AndrePoncedeLeonFdeCarvalho.html
http___dx.doi.org_10.1007_s10710-014-9235-z http://dx.doi.org/10.1007/s10710-014-9235-z
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AlwynMBarry.html
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AlwynMBarry.html
http___gpbib.cs.ucl.ac.uk_gecco2003wks.bib http://gpbib.cs.ucl.ac.uk/gecco2003wks.bib
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PalinaBartashevich.html
IllyaBakurov.html
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LeonardoVanneschi.html
http___dx.doi.org_10.1145_3205651.3205760 http://dx.doi.org/10.1145/3205651.3205760
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SanazMostaghim.html
LeonardoVanneschi.html
https___www.springer.com_gp_book_9783319992587 https://www.springer.com/gp/book/9783319992587
http___dx.doi.org_10.1007_978-3-319-99253-2_4 http://dx.doi.org/10.1007/978-3-319-99253-2_4
conf/isat/Bartczuk15 Gene Expression Programming in Correction Modelling of Nonlinear Dynamic Objects
LukaszBartczuk.html
http___dx.doi.org_10.1007_978-3-319-28555-9_11 http://dx.doi.org/10.1007/978-3-319-28555-9_11
conf/icaisc/BartczukPK15 New Method for Non-linear Correction Modelling of Dynamic Objects with Genetic Programming
LukaszBartczuk.html
AndrzejPrzybyl.html
PetiaDKoprinkova-Hristova.html
http___dx.doi.org_10.1007_978-3-319-19369-4 http://dx.doi.org/10.1007/978-3-319-19369-4
http___dx.doi.org_10.1007_978-3-319-19369-4_29 http://dx.doi.org/10.1007/978-3-319-19369-4_29
conf/icaisc/BartczukG16 A New Method for Generating Nonlinear Correction Models of Dynamic Objects Based on Semantic Genetic Programming
LukaszBartczuk.html
AlexanderIGalushkin.html
http___dx.doi.org_10.1007_978-3-319-39384-1 http://dx.doi.org/10.1007/978-3-319-39384-1
conf/icaisc/BartczukLK16 A New Method for Generating of Fuzzy Rules for the Nonlinear Modelling Based on Semantic Genetic Programming
LukaszBartczuk.html
KrystianLapa.html
PetiaDKoprinkova-Hristova.html
http___dx.doi.org_10.1007_978-3-319-39384-1 http://dx.doi.org/10.1007/978-3-319-39384-1
conf/icaisc/BartczukDR17 The Concept on Nonlinear Modelling of Dynamic Objects Based on State Transition Algorithm and Genetic Programming
LukaszBartczuk.html
PiotrDziwinski.html
VladimirGRedko.html
http___dx.doi.org_10.1007_978-3-319-59060-8_20 http://dx.doi.org/10.1007/978-3-319-59060-8_20
Bartlett:TEVC Exhaustive Symbolic Regression
DeaglanJBartlett.html
HarryDesmond.html
PedroGFerreira.html
http___dx.doi.org_10.1109_TEVC.2023.3280250 http://dx.doi.org/10.1109/TEVC.2023.3280250
bartlett:2023:cogsci Genetic programming for developing simple cognitive models
LauraBartlett.html
AngeloPirrone.html
NomanJaved.html
PeterCRLane.html
FernandGobet.html
http___hdl.handle.net_2299_27181 http://hdl.handle.net/2299/27181
https___escholarship.org_uc_item_08x8m02w https://escholarship.org/uc/item/08x8m02w
https___researchprofiles.herts.ac.uk_files_48593960_qt08x8m02w.pdf https://researchprofiles.herts.ac.uk/files/48593960/qt08x8m02w.pdf
Bartoli:2011:EuroGP GP-based Electricity Price Forecasting
AlbertoBartoli.html
GiorgioDavanzo.html
AndreaDeLorenzo.html
EricMedvet.html
http___dx.doi.org_10.1007_978-3-642-20407-4_4 http://dx.doi.org/10.1007/978-3-642-20407-4_4
Bartoli:2012:GECCOcomp Automatic generation of regular expressions from examples with genetic programming
AlbertoBartoli.html
GiorgioDavanzo.html
AndreaDeLorenzo.html
MarcoMauri.html
EricMedvet.html
EnricoSorio.html
http___dx.doi.org_10.1145_2330784.2331000 http://dx.doi.org/10.1145/2330784.2331000
Bartoli:2014:GECCO Playing Regex Golf with Genetic Programming
AlbertoBartoli.html
AndreaDeLorenzo.html
EricMedvet.html
FabianoTarlao.html
http___machinelearning.inginf.units.it_publications_international-conference-publications_playingregexgolfwithgeneticprogramming http://machinelearning.inginf.units.it/publications/international-conference-publications/playingregexgolfwithgeneticprogramming
http___doi.acm.org_10.1145_2576768.2598333 http://doi.acm.org/10.1145/2576768.2598333
http___dx.doi.org_10.1145_2576768.2598333 http://dx.doi.org/10.1145/2576768.2598333
Bartoli:2014:PPSN Compressing Regular Expression Sets for Deep Packet Inspection
AlbertoBartoli.html
SimoneCumar.html
AndreaDeLorenzo.html
EricMedvet.html
http___machinelearning.inginf.units.it_publications_international-conference-publications_compressingregularexpressionsetsfordeeppacketinspection http://machinelearning.inginf.units.it/publications/international-conference-publications/compressingregularexpressionsetsfordeeppacketinspection
http___dx.doi.org_10.1007_978-3-319-10762-2_39 http://dx.doi.org/10.1007/978-3-319-10762-2_39
Bartoli:2014:Computer Automatic Synthesis of Regular Expressions from Examples
AlbertoBartoli.html
GiorgioDavanzo.html
AndreaDeLorenzo.html
EricMedvet.html
EnricoSorio.html
http___dx.doi.org_10.1109_MC.2014.344 http://dx.doi.org/10.1109/MC.2014.344
Bartoli:2015:EuroGP Learning Text Patterns using Separate-and-Conquer Genetic Programming
AlbertoBartoli.html
AndreaDeLorenzo.html
EricMedvet.html
FabianoTarlao.html
http___dx.doi.org_10.1007_978-3-319-16501-1_2 http://dx.doi.org/10.1007/978-3-319-16501-1_2
Bartoli:2015:GECCO Evolutionary Learning of Syntax Patterns for Genic Interaction Extraction
AlbertoBartoli.html
AndreaDeLorenzo.html
EricMedvet.html
FabianoTarlao.html
MarcoVirgolin.html
http___doi.acm.org_10.1145_2739480.2754706 http://doi.acm.org/10.1145/2739480.2754706
http___dx.doi.org_10.1145_2739480.2754706 http://dx.doi.org/10.1145/2739480.2754706
Bartoli:2016:ASC Predicting the effectiveness of pattern-based entity extractor inference
AlbertoBartoli.html
AndreaDeLorenzo.html
EricMedvet.html
FabianoTarlao.html
http___dx.doi.org_10.1016_j.asoc.2016.05.023 http://dx.doi.org/10.1016/j.asoc.2016.05.023
http___www.sciencedirect.com_science_article_pii_S1568494616302241 http://www.sciencedirect.com/science/article/pii/S1568494616302241
Bartoli:2016:ieeeTKDE Inference of Regular Expressions for Text Extraction from Examples
AlbertoBartoli.html
AndreaDeLorenzo.html
EricMedvet.html
FabianoTarlao.html
http___www.human-competitive.org_sites_default_files_bartoli-delorenzo-medvet-tarlao-text.txt http://www.human-competitive.org/sites/default/files/bartoli-delorenzo-medvet-tarlao-text.txt
http___dx.doi.org_10.1109_TKDE.2016.2515587 http://dx.doi.org/10.1109/TKDE.2016.2515587
Bartoli:2016:ieeeIS Can A Machine Replace Humans In Building Regular Expressions? A Case Study
AlbertoBartoli.html
EricMedvet.html
AndreaDeLorenzo.html
FabianoTarlao.html
http___www.human-competitive.org_sites_default_files_bartoli-delorenzo-medvet-tarlao-text.txt http://www.human-competitive.org/sites/default/files/bartoli-delorenzo-medvet-tarlao-text.txt
http___dx.doi.org_10.1109_MIS.2016.46 http://dx.doi.org/10.1109/MIS.2016.46
conf/sac/BartoliLMT16 Active learning approaches for learning regular expressions with genetic programming
AlbertoBartoli.html
AndreaDeLorenzo.html
EricMedvet.html
FabianoTarlao.html
http___dx.doi.org_10.1145_2851613.2851668 http://dx.doi.org/10.1145/2851613.2851668
Bartoli:2016:acmACR Regex-based Entity Extraction with Active Learning and Genetic Programming
AlbertoBartoli.html
AndreaDeLorenzo.html
EricMedvet.html
FabianoTarlao.html
https___sites.google.com_site_machinelearningts_publications_international-journal-publications_regex-basedentityextractionwithactivelearningandgeneticprogramming_2016-ACR-RegexEntityExtractionActiveLearningGP.pdf https://sites.google.com/site/machinelearningts/publications/international-journal-publications/regex-basedentityextractionwithactivelearningandgeneticprogramming/2016-ACR-RegexEntityExtractionActiveLearningGP.pdf
http___doi.acm.org_10.1145_2993231.2993232 http://doi.acm.org/10.1145/2993231.2993232
http___dx.doi.org_10.1145_2993231.2993232 http://dx.doi.org/10.1145/2993231.2993232
Bartoli:2016:GECCOcomp On the Automatic Construction of Regular Expressions from Examples (GP vs. Humans 1-0)
AlbertoBartoli.html
AndreaDeLorenzo.html
EricMedvet.html
FabianoTarlao.html
http___dx.doi.org_10.1145_2908961.2930946 http://dx.doi.org/10.1145/2908961.2930946
Bartoli:2016:PPSN Syntactical Similarity Learning by means of Grammatical Evolution
AlbertoBartoli.html
AndreaDeLorenzo.html
EricMedvet.html
FabianoTarlao.html
http___dx.doi.org_10.1007_978-3-319-45823-6_24 http://dx.doi.org/10.1007/978-3-319-45823-6_24
Bartoli:2017:ieeeTC Active Learning of Regular Expressions for Entity Extraction
AlbertoBartoli.html
AndreaDeLorenzo.html
EricMedvet.html
FabianoTarlao.html
http___dx.doi.org_10.1109_TCYB.2017.2680466 http://dx.doi.org/10.1109/TCYB.2017.2680466
BARTOLI:2019:ASC Multi-level diversity promotion strategies for Grammar-guided Genetic Programming
AlbertoBartoli.html
AndreaDeLorenzo.html
EricMedvet.html
GiovanniSquillero.html
http___dx.doi.org_10.1016_j.asoc.2019.105599 http://dx.doi.org/10.1016/j.asoc.2019.105599
http___www.sciencedirect.com_science_article_pii_S1568494619303795 http://www.sciencedirect.com/science/article/pii/S1568494619303795
Bartoli:2019:ieeeTCyber Weighted Hierarchical Grammatical Evolution
AlbertoBartoli.html
MauroCastelli.html
EricMedvet.html
https___sites.google.com_site_machinelearningts_publications_international-journal-publications_weightedhierarchicalgrammaticalevolution_2018-TCyb-WHGE.pdf https://sites.google.com/site/machinelearningts/publications/international-journal-publications/weightedhierarchicalgrammaticalevolution/2018-TCyb-WHGE.pdf
http___dx.doi.org_10.1109_TCYB.2018.2876563 http://dx.doi.org/10.1109/TCYB.2018.2876563
Bartoli:ieeeTcybernetics Automatic Search-and-Replace From Examples With Coevolutionary Genetic Programming
AlbertoBartoli.html
AndreaDeLorenzo.html
EricMedvet.html
FabianoTarlao.html
http___dx.doi.org_10.1109_TCYB.2019.2918337 http://dx.doi.org/10.1109/TCYB.2019.2918337
bartoli:2023:GPEM Commentary on ``Jaws 30'', by W. B. Langdon
AlbertoBartoli.html
LucaManzoni.html
EricMedvet.html
https___rdcu.be_drZe8 https://rdcu.be/drZe8
http___dx.doi.org_10.1007_s10710-023-09471-1 http://dx.doi.org/10.1007/s10710-023-09471-1
DBLP:conf/rsctc/BartonV08 Computational Intelligence Techniques Applied to Magnetic Resonance Spectroscopy Data of Human Brain Cancers
AlanJBarton.html
JulioJValdes.html
http___dx.doi.org_10.1007_978-3-540-88425-5_50 http://dx.doi.org/10.1007/978-3-540-88425-5_50
Barton:2009:IJCNN Learning the neuron functions within a neural network via Genetic Programming: Applications to geophysics and hydrogeology
AlanJBarton.html
JulioJValdes.html
RobertOrchard.html
http___dx.doi.org_10.1109_IJCNN.2009.5178731 http://dx.doi.org/10.1109/IJCNN.2009.5178731
Barton2009614 Neural networks with multiple general neuron models: A hybrid computational intelligence approach using Genetic Programming
AlanJBarton.html
JulioJValdes.html
RobertOrchard.html
http___dx.doi.org_10.1016_j.neunet.2009.06.043 http://dx.doi.org/10.1016/j.neunet.2009.06.043
http___www.sciencedirect.com_science_article_B6T08-4WNRK15-3_2_d8803b07859caa7efcd99475af7005ae http://www.sciencedirect.com/science/article/B6T08-4WNRK15-3/2/d8803b07859caa7efcd99475af7005ae
Barton:2010:ieeeCIBCB Searching for a single mathematical function to address the nonlinear retention time shifts problem in nanoLC-MS data: A fuzzy-evolutionary computational proteomics approach
AlanJBarton.html
http___dx.doi.org_10.1109_CIBCB.2010.5510688 http://dx.doi.org/10.1109/CIBCB.2010.5510688
Bartos:2013:SIGMOD Towards Efficient Indexing of Arbitrary Similarity
TomasBartos.html
TomasSkopal.html
JurajMosko.html
http___doi.acm.org_10.1145_2503792.2503794 http://doi.acm.org/10.1145/2503792.2503794
http___dx.doi.org_10.1145_2503792.2503794 http://dx.doi.org/10.1145/2503792.2503794
Bartovs:2013:GECCO Efficient indexing of similarity models with inequality symbolic regression
TomasBartos.html
TomasSkopal.html
JurajMosko.html
http___dx.doi.org_10.1145_2463372.2463487 http://dx.doi.org/10.1145/2463372.2463487
conf/sisap/BartosS13 Designing Similarity Indexes with Parallel Genetic Programming
TomasBartos.html
TomasSkopal.html
http___dx.doi.org_10.1007_978-3-642-41062-8 http://dx.doi.org/10.1007/978-3-642-41062-8
http___dx.doi.org_10.1007_978-3-642-41062-8_29 http://dx.doi.org/10.1007/978-3-642-41062-8_29
http___dx.doi.org_10.1007_978-3-642-41062-8_29 http://dx.doi.org/10.1007/978-3-642-41062-8_29
Bartram:2008:ECP A Computational Intelligence Approach to Railway Track Intervention Planning
DerekBartram.html
MichaelBurrow.html
XinYao.html
http___dx.doi.org_10.1007_978-3-540-75771-9_8 http://dx.doi.org/10.1007/978-3-540-75771-9_8
BartschJr:2016:TJU Use of Artificial Intelligence and Machine Learning Algorithms with Gene Expression Profiling to Predict Recurrent Nonmuscle Invasive Urothelial Carcinoma of the Bladder
GeorgBartschJr.html
AnirbanPMitra.html
SheetalAMitra.html
ArpitAAlmal.html
KennethESteven.html
DonaldGSkinner.html
DavidWFry.html
PeterFLenehan.html
WilliamPWorzel.html
RichardJCote.html
http___dx.doi.org_10.1016_j.juro.2015.09.090 http://dx.doi.org/10.1016/j.juro.2015.09.090
http___www.sciencedirect.com_science_article_pii_S0022534715049629 http://www.sciencedirect.com/science/article/pii/S0022534715049629
basanta03 Evolving Cellular Automata to Grow Microstructures
DavidBasanta.html
MarkAMiodownik.html
ElizabethAHolm.html
http___rcswww.urz.tu-dresden.de__basanta_eurogp03.pdf http://rcswww.urz.tu-dresden.de/~basanta/eurogp03.pdf
http___dx.doi.org_10.1007_3-540-36599-0_1 http://dx.doi.org/10.1007/3-540-36599-0_1
Basanta:2004:EH Evolving and Growing Microstructures of Materials using Biologically Inspired CA
DavidBasanta.html
MarkAMiodownik.html
PeterJBentley.html
ElizabethAHolm.html
http___dx.doi.org_10.1109_EH.2004.1310841 http://dx.doi.org/10.1109/EH.2004.1310841
Baser:2017:Energy A fuzzy regression with support vector machine approach to the estimation of horizontal global solar radiation
FurkanBaser.html
HaydarDemirhan.html
http___dx.doi.org_10.1016_j.energy.2017.02.008 http://dx.doi.org/10.1016/j.energy.2017.02.008
http___www.sciencedirect.com_science_article_pii_S0360544217301822 http://www.sciencedirect.com/science/article/pii/S0360544217301822
Basgalupp:2014:GECCO A grammatical evolution based hyper-heuristic for the automatic design of split criteria
MarcioPortoBasgalupp.html
RodrigoCBarros.html
TiagoBarabasz.html
http___doi.acm.org_10.1145_2576768.2598327 http://doi.acm.org/10.1145/2576768.2598327
http___dx.doi.org_10.1145_2576768.2598327 http://dx.doi.org/10.1145/2576768.2598327
Basher:2022:CEC Managing Diversity and Many Objectives in Evolutionary Design
SheikhFaishalBasher.html
BrianJRoss.html
http___dx.doi.org_10.1109_CEC55065.2022.9870353 http://dx.doi.org/10.1109/CEC55065.2022.9870353
journals/apin/Bashir14 Combining pre-retrieval query quality predictors using genetic programming
ShariqBashir.html
http___dx.doi.org_10.1007_s10489-013-0475-z http://dx.doi.org/10.1007/s10489-013-0475-z
Bashir:2016:ASC Opinion-Based Entity Ranking using learning to rank
ShariqBashir.html
WasifAfzal.html
AbdulRaufBaig.html
http___dx.doi.org_10.1016_j.asoc.2015.10.001 http://dx.doi.org/10.1016/j.asoc.2015.10.001
http___www.sciencedirect.com_science_article_pii_S156849461500616X http://www.sciencedirect.com/science/article/pii/S156849461500616X
DBLP:journals/corr/BasiosLWKLB17 Darwinian Data Structure Selection
MichailBasios.html
LingboLi.html
FanWu.html
LeslieKanthan.html
DonaldLawrence.html
EarlBarr.html
http___dblp.uni-trier.de_rec_bib_journals_corr_BasiosLWKLB17 http://dblp.uni-trier.de/rec/bib/journals/corr/BasiosLWKLB17
http___arxiv.org_abs_1706.03232 http://arxiv.org/abs/1706.03232
Basios:2018:FSE Darwinian Data Structure Selection
MichailBasios.html
LingboLi.html
FanWu.html
LeslieKanthan.html
EarlBarr.html
http___human-competitive.org_sites_default_files_artemis.pdf http://human-competitive.org/sites/default/files/artemis.pdf
http___dx.doi.org_10.1145_3236024.3236043 http://dx.doi.org/10.1145/3236024.3236043
Basios_10070648_thesis Darwinian Code Optimisation
MichailBasios.html
https___discovery.ucl.ac.uk_id_eprint_10070648 https://discovery.ucl.ac.uk/id/eprint/10070648
https___discovery.ucl.ac.uk_id_eprint_10070648_1_Basios_10070648_thesis.pdf https://discovery.ucl.ac.uk/id/eprint/10070648/1/Basios_10070648_thesis.pdf
DBLP:conf/visapp/BasiratR19 Learning Task-specific Activation Functions using Genetic Programming
MinaBasirat.html
PeterMRoth.html
https___doi.org_10.5220_0007408205330540 https://doi.org/10.5220/0007408205330540
http___dx.doi.org_10.5220_0007408205330540 http://dx.doi.org/10.5220/0007408205330540
https___dblp.org_rec_conf_visapp_BasiratR19.bib https://dblp.org/rec/conf/visapp/BasiratR19.bib
Bassett:2012:GECCO A new methodology for the GP theory toolbox
JeffreyKBassett.html
UdayKamath.html
KennethDeJong.html
http___dx.doi.org_10.1145_2330163.2330264 http://dx.doi.org/10.1145/2330163.2330264
Bassett:thesis Methods for Improving the Design and Performance of Evolutionary Algorithms
JeffreyKBassett.html
http___hdl.handle.net_1920_8122 http://hdl.handle.net/1920/8122
http___digilib.gmu.edu_dspace_bitstream_handle_1920_8122_Bassett_gmu_0883E_10215.pdf http://digilib.gmu.edu/dspace/bitstream/handle/1920/8122/Bassett_gmu_0883E_10215.pdf
Bastian:2000:FSS Identifying fuzzy models utilizing genetic programming
AndreasBastian.html
http___www.sciencedirect.com_science_article_B6V05-4234BFC-1_1_261a04fa056f3f0dfe0fb79a773a971a http://www.sciencedirect.com/science/article/B6V05-4234BFC-1/1/261a04fa056f3f0dfe0fb79a773a971a
BastoFernandes:2014:PT An Automatic Generation of Textual Pattern Rules for Digital Content Filters Proposal, Using Grammatical Evolution Genetic Programming
VitorBasto-Fernandes.html
IrynaYevseyeva.html
RafaelZFrantz.html
CarlosGrilo.html
NoemiPerezDiaz.html
MichaelEmmerich.html
http___dx.doi.org_10.1016_j.protcy.2014.10.030 http://dx.doi.org/10.1016/j.protcy.2014.10.030
http___www.sciencedirect.com_science_article_pii_S2212017314002576 http://www.sciencedirect.com/science/article/pii/S2212017314002576
Batenkov:2010:HIG:1836543.1836558 Hands-on introduction to genetic programming
DmitryBatenkov.html
http___xrds.acm.org_article.cfm_aid_1836558 http://xrds.acm.org/article.cfm?aid=1836558
http___dx.doi.org_10.1145_1836543.1836558 http://dx.doi.org/10.1145/1836543.1836558
Batenkov:2011:GPEM Open BEAGLE: a generic framework for evolutionary computations
DmitryBatenkov.html
http___dx.doi.org_10.1007_s10710-011-9135-4 http://dx.doi.org/10.1007/s10710-011-9135-4
Bates:2003:ICCIFE Evolutionary reinforcement learning in FX order book and order flow analysis
GrahamBates.html
MichaelDempster.html
YazannRomahi.html
http___mahd-pc.jbs.cam.ac.uk_archive_PAPERS_2003_WP06.pdf http://mahd-pc.jbs.cam.ac.uk/archive/PAPERS/2003/WP06.pdf
http___dx.doi.org_10.1109_CIFER.2003.1196282 http://dx.doi.org/10.1109/CIFER.2003.1196282
conf/agi/BatishchevaP15 Genetic Programming on Program Traces as an Inference Engine for Probabilistic Languages
VitaBatishcheva.html
AlexeyPotapov.html
http___dx.doi.org_10.1007_978-3-319-21365-1 http://dx.doi.org/10.1007/978-3-319-21365-1
http___dx.doi.org_10.1007_978-3-319-21365-1_2 http://dx.doi.org/10.1007/978-3-319-21365-1_2
conf/iwann/BatistaSSLR13 Solving the Unknown Complexity Formula Problem with Genetic Programming
RaycoBatista.html
EduardoSegredo.html
CarlosSeguraGonzalez.html
CoromotoLeon.html
CasianoRodriguez.html
http___dx.doi.org_10.1007_978-3-642-38679-4 http://dx.doi.org/10.1007/978-3-642-38679-4
http___dx.doi.org_10.1007_978-3-642-38679-4_22 http://dx.doi.org/10.1007/978-3-642-38679-4_22
Batista:2019:GECCOcomp To adapt or not to adapt, or the beauty of random settings
JoaoEBatista.html
NunoMiguelRodriguesDomingos.html
SaraSilva.html
http___dx.doi.org_10.1145_3319619.3321994 http://dx.doi.org/10.1145/3319619.3321994
Batista:2020:CEC Improving the Detection of Burnt Areas in Remote Sensing using Hyper-features Evolved by M3GP
JoaoEBatista.html
SaraSilva.html
https___arxiv.org_abs_2002.00053 https://arxiv.org/abs/2002.00053
http___dx.doi.org_10.1109_CEC48606.2020.9185630 http://dx.doi.org/10.1109/CEC48606.2020.9185630
batista:2021:remotesensing Improving Land Cover Classification Using Genetic Programming for Feature Construction
JoaoEBatista.html
AnaIsabelRosaCabral.html
MariaJoseVasconcelos.html
LeonardoVanneschi.html
SaraSilva.html
https___www.mdpi.com_2072-4292_13_9_1623 https://www.mdpi.com/2072-4292/13/9/1623
https___www.mdpi.com_2072-4292_13_9_1623.pdf https://www.mdpi.com/2072-4292/13/9/1623.pdf
http___dx.doi.org_10.3390_rs13091623 http://dx.doi.org/10.3390/rs13091623
batista:2022:GECCOlba Evolving a Cloud-Robust Water Index with Genetic Programming
JoaoEBatista.html
SaraSilva.html
http___dx.doi.org_10.1145_3520304.3533946 http://dx.doi.org/10.1145/3520304.3533946
Batista:2022:CEC Comparative study of classifier performance using automatic feature construction by M3GP
JoaoEBatista.html
SaraSilva.html
http___dx.doi.org_10.1109_CEC55065.2022.9870343 http://dx.doi.org/10.1109/CEC55065.2022.9870343
http___github.com_jespb_Python-M3GP http://github.com/jespb/Python-M3GP
2018_Batot_Sahraoui_SSBSE18 Injecting Social Diversity in Multi-Objective Genetic Programming: the Case of Model Well-formedness Rule Learning
EdouardBatot.html
HouariSahraoui.html
http___www-ens.iro.umontreal.ca__batotedo_papers_2018_Batot_Sahraoui_SSBSE18.pdf http://www-ens.iro.umontreal.ca/~batotedo/papers/2018_Batot_Sahraoui_SSBSE18.pdf
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EdouardBatot.html
https___papyrus.bib.umontreal.ca_xmlui_bitstream_1866_21737_2_Batot_Edouard_2018_These.pdf https://papyrus.bib.umontreal.ca/xmlui/bitstream/1866/21737/2/Batot_Edouard_2018_These.pdf
http___hdl.handle.net_1866_21737 http://hdl.handle.net/1866/21737
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EdouardBatot.html
HouariSahraoui.html
https___rdcu.be_c69Rx https://rdcu.be/c69Rx
http___dx.doi.org_10.1007_s10270-021-00969-9 http://dx.doi.org/10.1007/s10270-021-00969-9
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DarylBattle.html
AbdollahHomaifar.html
EdwardWTunstel.html
GerryDozier.html
http___gpbib.cs.ucl.ac.uk_gecco1999_RW-730.pdf http://gpbib.cs.ucl.ac.uk/gecco1999/RW-730.pdf
http___gpbib.cs.ucl.ac.uk_gecco1999_RW-730.ps http://gpbib.cs.ucl.ac.uk/gecco1999/RW-730.ps
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BenoitBaudry.html
SimonAllier.html
MartinMonperrus.html
https___hal.archives-ouvertes.fr_hal-00938855_document https://hal.archives-ouvertes.fr/hal-00938855/document
http___doi.acm.org_10.1145_2610384.2610415 http://doi.acm.org/10.1145/2610384.2610415
http___dx.doi.org_10.1145_2610384.2610415 http://dx.doi.org/10.1145/2610384.2610415
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BenoitBaudry.html
MartinMonperrus.html
http___arxiv.org_abs_1409.7324 http://arxiv.org/abs/1409.7324
https___hal.inria.fr_hal-01182103_document https://hal.inria.fr/hal-01182103/document
http___dx.doi.org_10.1145_2807593 http://dx.doi.org/10.1145/2807593
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BenoitBaudry.html
NicolasYvesMauriceHarrand.html
EricSchulte.html
ChristopherTimperley.html
ShinHweiTan.html
MarijaSelakovic.html
EmamurhoUgherughe.html
http___www.shinhwei.com_devop-gi.pdf http://www.shinhwei.com/devop-gi.pdf
http___dx.doi.org_10.1145_3194810.3194818 http://dx.doi.org/10.1145/3194810.3194818
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EricTBauer.html
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JohannesMBauer.html
KurtDeMaagd.html
http___www.tprcweb.com_images_stories_2008_Bauer-DeMaagd-Network-Management-2008-TPRC-fin.pdf http://www.tprcweb.com/images/stories/2008/Bauer-DeMaagd-Network-Management-2008-TPRC-fin.pdf
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EricBBaum.html
IgorBDurdanovic.html
baum:1998:tceae Toward Code Evolution By Artificial Economies
EricBBaum.html
IgorBDurdanovic.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.56.7596.pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.56.7596.pdf
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IgorBDurdanovic.html
http___citeseer.ist.psu.edu_5199.html http://citeseer.ist.psu.edu/5199.html
http___coblitz.codeen.org_3125_citeseer.ist.psu.edu_cache_papers_cs_2215_http_zSzzSzwww.neci.nj.nec.comzSzhomepageszSzericzSzevpap.pdf_toward-code-evolution-by.pdf http://coblitz.codeen.org:3125/citeseer.ist.psu.edu/cache/papers/cs/2215/http:zSzzSzwww.neci.nj.nec.comzSzhomepageszSzericzSzevpap.pdf/toward-code-evolution-by.pdf
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LaurentAllanBaumes.html
PierreCollet.html
http___dx.doi.org_10.1016_j.commatsci.2008.03.051 http://dx.doi.org/10.1016/j.commatsci.2008.03.051
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http___lsiit.u-strasbg.fr_Publications_2009_BBSTLCC09 http://lsiit.u-strasbg.fr/Publications/2009/BBSTLCC09
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PierreCollet.html
http___icube-publis.unistra.fr_docs_7407_baumes.pdf http://icube-publis.unistra.fr/docs/7407/baumes.pdf
http___cmms-editorial.agh.edu.pl_abstract.php_p_id_373 http://cmms-editorial.agh.edu.pl/abstract.php?p_id=373
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LaurentAllanBaumes.html
FredericKruger.html
SantiagoJimenez-Serrano.html
PierreCollet.html
AvelinoCorma.html
http___dx.doi.org_10.1039_C0CP02833A http://dx.doi.org/10.1039/C0CP02833A
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KateFrancisco.html
MikeLouieEnriquez.html
R-JayRelano.html
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ArgelABandala.html
RyanRhayPVicerra.html
JonathanDungca.html
http___dx.doi.org_10.1109_ICBIR57571.2023.10147464 http://dx.doi.org/10.1109/ICBIR57571.2023.10147464
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AndreiBautu.html
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http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.613.3355 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.613.3355
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https___rjp.nipne.ro_2007_52_5-7.html https://rjp.nipne.ro/2007_52_5-7.html
http___www.nipne.ro_rjp_2007_52_5-6_0697_0705.pdf http://www.nipne.ro/rjp/2007_52_5-6/0697_0705.pdf
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HenriLuchian.html
http___dx.doi.org_10.1109_SYNASC.2005.6 http://dx.doi.org/10.1109/SYNASC.2005.6
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HenriLuchian.html
http___dx.doi.org_10.1109_SYNASC.2005.70 http://dx.doi.org/10.1109/SYNASC.2005.70
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ElenaBautu.html
AndreiBautu.html
HenriLuchian.html
http___dx.doi.org_10.1109_SYNASC.2007.51 http://dx.doi.org/10.1109/SYNASC.2007.51
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ElenaBautu.html
ElenaPelican.html
http___www.nipne.ro_rjp_2007_52_3-4.html http://www.nipne.ro/rjp/2007_52_3-4.html
http___www.nipne.ro_rjp_2007_52_3-4_0245_0257.pdf http://www.nipne.ro/rjp/2007_52_3-4/0245_0257.pdf
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AndreiBautu.html
HenriLuchian.html
http___dx.doi.org_10.1109_SYNASC.2008.63 http://dx.doi.org/10.1109/SYNASC.2008.63
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ElenaBautu.html
ElenaPelican.html
https___www.creative-mathematics.cunbm.utcluj.ro_article_symbolic-approach-for-the-generalized-airfoil-equation_ https://www.creative-mathematics.cunbm.utcluj.ro/article/symbolic-approach-for-the-generalized-airfoil-equation/
https___www.creative-mathematics.cunbm.utcluj.ro_wp-content_uploads_2008_vol_17_2_creative_2008_17_2_052_060.pdf https://www.creative-mathematics.cunbm.utcluj.ro/wp-content/uploads/2008_vol_17_2/creative_2008_17_2_052_060.pdf
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AndreiBautu.html
HenriLuchian.html
http___dx.doi.org_10.1109_CISIS.2010.101 http://dx.doi.org/10.1109/CISIS.2010.101
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ElenaBautu.html
https___www.lap-publishing.com_catalog_details_store_ru_book_978-3-8484-3479-4_intelligent-techniques-for-data-modeling-problems_search_978-3-8484-3479-4 https://www.lap-publishing.com/catalog/details/store/ru/book/978-3-8484-3479-4/intelligent-techniques-for-data-modeling-problems?search=978-3-8484-3479-4
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AlinaBarbulescu.html
http___www.ccis2k.org_iajit_PDF_vol.9_no.4_2806-5.pdf http://www.ccis2k.org/iajit/PDF/vol.9,no.4/2806-5.pdf
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HunterBaxter.html
YuHuang.html
KevinLeach.html
http___gpbib.cs.ucl.ac.uk_gi2024_Genetic_Improvement_for_DNN_Security.pdf http://gpbib.cs.ucl.ac.uk/gi2024/Genetic_Improvement_for_DNN_Security.pdf
http___dx.doi.org_10.1145_3643692.3648261 http://dx.doi.org/10.1145/3643692.3648261
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MahmoudBayat.html
PhanThanhNoi.html
RozitaZare.html
DieuTienBui.html
https___doi.org_10.3390_rs11141680 https://doi.org/10.3390/rs11141680
http___dx.doi.org_10.3390_rs11141680 http://dx.doi.org/10.3390/rs11141680
https___dblp.org_rec_journals_remotesensing_BayatNZB19.bib https://dblp.org/rec/journals/remotesensing/BayatNZB19.bib
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AlirezaMohammadiBayazidi.html
Gai-GeWang.html
HamedBolandi.html
AHAlavi.html
AHGandomi.html
http___dx.doi.org_10.1155_2014_474289 http://dx.doi.org/10.1155/2014/474289
http___dx.doi.org_10.1155_2014_474289 http://dx.doi.org/10.1155/2014/474289
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CemMBaydar.html
KazuhiroSaitou.html
http___gpbib.cs.ucl.ac.uk_gecco2000_RW036.pdf http://gpbib.cs.ucl.ac.uk/gecco2000/RW036.pdf
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CemMBaydar.html
KazuhiroSaitou.html
http___citeseer.ist.psu.edu_538284.html http://citeseer.ist.psu.edu/538284.html
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CemMBaydar.html
KazuhiroSaitou.html
http___citeseer.ist.psu.edu_535775.html http://citeseer.ist.psu.edu/535775.html
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CemMBaydar.html
KazuhiroSaitou.html
http___dx.doi.org_10.1109_ROBOT.2001.932651 http://dx.doi.org/10.1109/ROBOT.2001.932651
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CemMBaydar.html
http___mirlyn.lib.umich.edu_Record_004198436 http://mirlyn.lib.umich.edu/Record/004198436
http___books.google.co.uk_books_id_fZMfAQAAMAAJ http://books.google.co.uk/books?id=fZMfAQAAMAAJ
http___search.proquest.com_docview_275835638 http://search.proquest.com/docview/275835638
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CemMBaydar.html
KazuhiroSaitou.html
http___dx.doi.org_10.1016_S0278-6125_01_80020-0 http://dx.doi.org/10.1016/S0278-6125(01)80020-0
http___www.sciencedirect.com_science_article_B6VJD-441R1H8-6_2_cdebaddb30a67a67dc7cb6dd41fabf9f http://www.sciencedirect.com/science/article/B6VJD-441R1H8-6/2/cdebaddb30a67a67dc7cb6dd41fabf9f
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CemMBaydar.html
KazuhiroSaitou.html
http___dx.doi.org_10.1023_B_JIMS.0000037716.69868.d0 http://dx.doi.org/10.1023/B:JIMS.0000037716.69868.d0
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CaleidghBayer.html
RyanAmaral.html
RobertJSmith.html
AlexandruIanta.html
MalcolmHeywood.html
http___dx.doi.org_10.1007_978-981-16-8113-4_1 http://dx.doi.org/10.1007/978-981-16-8113-4_1
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AdilBaykasoglu.html
TurkayDereli.html
SerkanTanis.html
http___www.sciencedirect.com_science_article_B6TWG-4CBVDJS-1_2_46a55d4141904806cf09f3c92f56beb4 http://www.sciencedirect.com/science/article/B6TWG-4CBVDJS-1/2/46a55d4141904806cf09f3c92f56beb4
http___dx.doi.org_10.1016_j.cemconres.2004.03.028 http://dx.doi.org/10.1016/j.cemconres.2004.03.028
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AdilBaykasoglu.html
http___delta.cs.cinvestav.mx__ccoello_EMOO_baykasoglu05a.pdf.gz http://delta.cs.cinvestav.mx/~ccoello/EMOO/baykasoglu05a.pdf.gz
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AdilBaykasoglu.html
LaleOzbakir.html
http___dx.doi.org_10.1016_j.ejor.2006.10.015 http://dx.doi.org/10.1016/j.ejor.2006.10.015
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AdilBaykasoglu.html
HamzaGullu.html
HanifiCanakci.html
LaleOzbakir.html
http___dx.doi.org_10.1016_j.eswa.2007.06.006 http://dx.doi.org/10.1016/j.eswa.2007.06.006
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AdilBaykasoglu.html
AhmetOztas.html
ErdoganOzbay.html
http___dx.doi.org_10.1016_j.eswa.2008.07.017 http://dx.doi.org/10.1016/j.eswa.2008.07.017
http___www.sciencedirect.com_science_article_B6V03-4T0WJSK-G_2_2dd2cbea4bb9a919e91f3953aecaaa06 http://www.sciencedirect.com/science/article/B6V03-4T0WJSK-G/2/2dd2cbea4bb9a919e91f3953aecaaa06
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AdilBaykasoglu.html
MustafaGocken.html
http___dx.doi.org_10.1016_j.eswa.2009.03.061 http://dx.doi.org/10.1016/j.eswa.2009.03.061
http___www.sciencedirect.com_science_article_B6V03-4VY2C6B-1_2_d174ebf2e7f0566d9c964be7d6f4f2ab http://www.sciencedirect.com/science/article/B6V03-4VY2C6B-1/2/d174ebf2e7f0566d9c964be7d6f4f2ab
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AdilBaykasoglu.html
MustafaGocken.html
LaleOzbakir.html
http___dx.doi.org_10.1177_0037549709346561 http://dx.doi.org/10.1177/0037549709346561
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AdilBaykasoglu.html
SultanMaral.html
http___dx.doi.org_10.3233_IFS-141205 http://dx.doi.org/10.3233/IFS-141205
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AdilBaykasoglu.html
LaleOzbakir.html
http___link.springer.com_article_10.1007_s00170-014-6295-4 http://link.springer.com/article/10.1007/s00170-014-6295-4
http___dx.doi.org_10.1007_s00170-014-6295-4 http://dx.doi.org/10.1007/s00170-014-6295-4
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MichaelDBayne.html
http___samskivert.com_internet_deep_1997_02_12_ http://samskivert.com/internet/deep/1997/02/12/
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MohammadHassanBaziar.html
YaserJafarian.html
HabibShahnazari.html
VahidMovahed.html
MohammadAminTutunchian.html
http___dx.doi.org_10.1016_j.cageo.2011.04.008 http://dx.doi.org/10.1016/j.cageo.2011.04.008
http___www.sciencedirect.com_science_article_B6V7D-52R9DF5-2_2_08fa46566f649fc2348af34aa83ebbb2 http://www.sciencedirect.com/science/article/B6V7D-52R9DF5-2/2/08fa46566f649fc2348af34aa83ebbb2
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LawrenceBeadle.html
ColinGJohnson.html
http___dx.doi.org_10.1109_CEC.2008.4630784 http://dx.doi.org/10.1109/CEC.2008.4630784
http___results.ref.ac.uk_Submissions_Output_1423275 http://results.ref.ac.uk/Submissions/Output/1423275
Beadle:2009:GPEM Semantic Analysis of Program Initialisation in Genetic Programming
LawrenceBeadle.html
ColinGJohnson.html
http___dx.doi.org_10.1007_s10710-009-9082-5 http://dx.doi.org/10.1007/s10710-009-9082-5
Beadle:2009:cec Semantically Driven Mutation in Genetic Programming
LawrenceBeadle.html
ColinGJohnson.html
http___dx.doi.org_10.1109_CEC.2009.4983099 http://dx.doi.org/10.1109/CEC.2009.4983099
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LawrenceBeadle.html
http___www.beadle.me_Me_LBeadle_PhD_Thesis.pdf http://www.beadle.me/Me/LBeadle_PhD_Thesis.pdf
http___ethos.bl.uk_OrderDetails.do_did_24_uin_uk.bl.ethos.509628 http://ethos.bl.uk/OrderDetails.do?did=24&uin=uk.bl.ethos.509628
https___kar.kent.ac.uk_id_eprint_30599 https://kar.kent.ac.uk/id/eprint/30599
http___www.cs.kent.ac.uk_pubs_2009_3056_ http://www.cs.kent.ac.uk/pubs/2009/3056/
http___www.cs.kent.ac.uk_pubs_2009_3056_content.pdf http://www.cs.kent.ac.uk/pubs/2009/3056/content.pdf
beale:2002:RTIC Traffic Data: Less is More
StuartBeale.html
http___dx.doi.org_10.1049_cp_20020233 http://dx.doi.org/10.1049/cp:20020233
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NickBeard.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_ga_beard93a.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/ga_beard93a.pdf
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KeithBearpark.html
AndyJKeane.html
http___eprints.soton.ac.uk_21399_1_bear_00.pdf http://eprints.soton.ac.uk/21399/1/bear_00.pdf
http___eprints.soton.ac.uk_21399_ http://eprints.soton.ac.uk/21399/
http___www.springer.com_engineering_mechanical_engineering_book_978-1-85233-300-3 http://www.springer.com/engineering/mechanical+engineering/book/978-1-85233-300-3
http___www.amazon.co.uk_Evolutionary-Design-Manufacture-Selected-Papers_dp_1852333006 http://www.amazon.co.uk/Evolutionary-Design-Manufacture-Selected-Papers/dp/1852333006
http___dx.doi.org_10.1007_978-1-4471-0519-0_25 http://dx.doi.org/10.1007/978-1-4471-0519-0_25
Bearpark:thesis Learning and memory in genetic programming
KeithBearpark.html
http___eprints.soton.ac.uk_45930_ http://eprints.soton.ac.uk/45930/
http___ethos.bl.uk_OrderDetails.do_uin_uk.bl.ethos.327359 http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.327359
beaulieu:2002:gecco Lens System Design And Re-engineering With Evolutionary Algorithms
JulieBeaulieu.html
ChristianGagne.html
MarcParizeau.html
http___vision.gel.ulaval.ca__parizeau_Publications_gecco02-lens.pdf http://vision.gel.ulaval.ca/~parizeau/Publications/gecco02-lens.pdf
http___vision.gel.ulaval.ca_en_publications_Id_44_PublDetails.php http://vision.gel.ulaval.ca/en/publications/Id_44/PublDetails.php
http___gpbib.cs.ucl.ac.uk_gecco2002_EH274.pdf http://gpbib.cs.ucl.ac.uk/gecco2002/EH274.pdf
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_gecco2002_gecco-2002-04.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/gecco2002/gecco-2002-04.pdf
http___www.gel.ulaval.ca__cgagne_pubs_lens-gecco02.pdf http://www.gel.ulaval.ca/~cgagne/pubs/lens-gecco02.pdf
http___citeseer.ist.psu.edu_532763.html http://citeseer.ist.psu.edu/532763.html
Beaumont:2009:cec Grammatical Evolution of L-systems
DarrenBeaumont.html
SusanStepney.html
http___dx.doi.org_10.1109_CEC.2009.4983247 http://dx.doi.org/10.1109/CEC.2009.4983247
Bechmann:2010:ICES From Binary to Continuous Gates - and Back Again
MatthiasBechmann.html
AngelikaSebald.html
SusanStepney.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.386.7390 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.386.7390
http___www-users.cs.york.ac.uk__susan_bib_ss_nonstd_ices10.pdf http://www-users.cs.york.ac.uk/~susan/bib/ss/nonstd/ices10.pdf
http___dx.doi.org_10.1007_978-3-642-15323-5_29 http://dx.doi.org/10.1007/978-3-642-15323-5_29
Beck:2014:PLoSONE Machine Learning Techniques Accurately Classify Microbial Communities by Bacterial Vaginosis Characteristics
DanielBeck.html
JamesAFoster.html
http___www.ncbi.nlm.nih.gov_pmc_articles_PMC3912131 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3912131
http___dx.doi.org_10.1371_journal.pone.0087830 http://dx.doi.org/10.1371/journal.pone.0087830
http___dx.doi.org_10.1371_journal.pone.0087830 http://dx.doi.org/10.1371/journal.pone.0087830
Beck:thesis Investigating the use of classification models to study microbial community associations with bacterial vaginosis
DanielBeck.html
https___www.lib.uidaho.edu_digital_etd_items_beck_idaho_0089e_10212.html https://www.lib.uidaho.edu/digital/etd/items/beck_idaho_0089e_10212.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_daniel_beck_dissertation.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/daniel_beck_dissertation.pdf
Beck:2015:BDM Machine learning classifiers provide insight into the relationship between microbial communities and bacterial vaginosis
DanielBeck.html
JamesAFoster.html
http___dx.doi.org_10.1186_s13040-015-0055-3 http://dx.doi.org/10.1186/s13040-015-0055-3
Becker:2021:GECCOcomp AI Programmer: Autonomously Creating Software Programs Using Genetic Algorithms
KoryBecker.html
JustinGottschlich.html
http___dx.doi.org_10.1145_3449726.3463125 http://dx.doi.org/10.1145/3449726.3463125
becker:2003-09 Comprehensibility and Overfitting Avoidance in Genetic Programming for Technical Trading Rules
LeeABecker.html
MukundSeshadri.html
ftp___ftp.cs.wpi.edu_pub_techreports_pdf_03-09.pdf ftp://ftp.cs.wpi.edu/pub/techreports/pdf/03-09.pdf
http___citeseer.ist.psu.edu_574013.html http://citeseer.ist.psu.edu/574013.html
becker:2003-15 Cooperative Coevolution of Technical Trading Rules
LeeABecker.html
MukundSeshadri.html
ftp___ftp.cs.wpi.edu_pub_techreports_pdf_03-15.pdf ftp://ftp.cs.wpi.edu/pub/techreports/pdf/03-15.pdf
becker:2003:CINC GP-evolved Technical Trading Rules Can Outperform Buy and Hold
LeeABecker.html
MukundSeshadri.html
http___www.cs.ucl.ac.uk_staff_W.Yan_gp-evolved-technical-trading.pdf http://www.cs.ucl.ac.uk/staff/W.Yan/gp-evolved-technical-trading.pdf
Becker:2020:TPOT Faster AutoML with TPOT and RAPIDS
NickBecker.html
DanteGamaDessavre.html
JohnZedlewski.html
https___medium.com_rapids-ai_faster-automl-with-tpot-and-rapids-758455cd89e5 https://medium.com/rapids-ai/faster-automl-with-tpot-and-rapids-758455cd89e5
https___youtu.be_7z4OJQdY_mw https://youtu.be/7z4OJQdY_mw
Becker:2006:GPTP Stock Selection : An Innovative Application of Genetic Programming Methodology
YingLBecker.html
PengFei.html
AnnaMLester.html
http___dx.doi.org_10.1007_978-0-387-49650-4_19 http://dx.doi.org/10.1007/978-0-387-49650-4_19
Becker:2007:GPTP An Empirical Study of Multi-Objective Algorithms for Stock Ranking
YingLBecker.html
HaroldFox.html
PengFei.html
http___dx.doi.org_10.1007_978-0-387-76308-8_14 http://dx.doi.org/10.1007/978-0-387-76308-8_14
BeckerO:2009:GEC Genetic programming for quantitative stock selection
YingLBecker.html
Una-MayO'Reilly.html
http___dx.doi.org_10.1145_1543834.1543837 http://dx.doi.org/10.1145/1543834.1543837
Bedner:1997:elca Evolving Light Cycle Algorithms
IljaBedner.html
Beham:2008:ieeeIPDPS A genetic programming approach to solve scheduling problems with parallel simulation
AndreasBeham.html
StephanMWinkler.html
StefanWagner.html
MichaelAffenzeller.html
http___dx.doi.org_10.1109_IPDPS.2008.4536379 http://dx.doi.org/10.1109/IPDPS.2008.4536379
http___dx.doi.org_10.1109_IPDPS.2008.4536362 http://dx.doi.org/10.1109/IPDPS.2008.4536362
3360 Fitness Landscape based Parameter Estimation for Robust Taboo Search
AndreasBeham.html
ErikPitzer.html
MichaelAffenzeller.html
https___link.springer.com_chapter_10.1007_978-3-642-53856-8_37 https://link.springer.com/chapter/10.1007/978-3-642-53856-8_37
http___dx.doi.org_10.1007_978-3-642-53856-8_37 http://dx.doi.org/10.1007/978-3-642-53856-8_37
Beham:2016:OKC:2908961.2931724 Optimization Knowledge Center: A Decision Support System for Heuristic Optimization
AndreasBeham.html
StefanWagner.html
MichaelAffenzeller.html
http___dx.doi.org_10.1145_2908961.2931724 http://dx.doi.org/10.1145/2908961.2931724
http___doi.acm.org_10.1145_2908961.2931724 http://doi.acm.org/10.1145/2908961.2931724
BEHBAHANI:2020:CBM Predictive model of modified asphalt mixtures with nano hydrated lime to increase resistance to moisture and fatigue damages by the use of deicing agents
HamidBehbahani.html
GholamHosseinHamedi.html
VahidNajafiMoghaddamGilani.html
http___dx.doi.org_10.1016_j.conbuildmat.2020.120353 http://dx.doi.org/10.1016/j.conbuildmat.2020.120353
http___www.sciencedirect.com_science_article_pii_S0950061820323588 http://www.sciencedirect.com/science/article/pii/S0950061820323588
Behbahani:2012:transMechtron Mechatronic Design Evolution Using Bond Graphs and Hybrid Genetic Algorithm With Genetic Programming
SaeedBehbahani.html
ClarenceWdeSilva.html
http___dx.doi.org_10.1109_TMECH.2011.2165958 http://dx.doi.org/10.1109/TMECH.2011.2165958
Behbahani:2013:Mechatronics Niching Genetic Scheme With Bond Graphs for Topology and Parameter Optimization of a Mechatronic System
SaeedBehbahani.html
ClarenceWdeSilva.html
http___dx.doi.org_10.1109_TMECH.2012.2230013 http://dx.doi.org/10.1109/TMECH.2012.2230013
Behera:2012:ACEEijcsi An Application of Genetic Programming for Power System Planning and Operation
RBehera.html
BibhutiBhusanPati.html
BibhuPrasadPanigrahi.html
SMisra.html
http___hal.archives-ouvertes.fr_docs_00_74_16_55_PDF_59.pdf http://hal.archives-ouvertes.fr/docs/00/74/16/55/PDF/59.pdf
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.592.7439 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.592.7439
Beiki20101091 Genetic programming approach for estimating the deformation modulus of rock mass using sensitivity analysis by neural network
MortezaBeiki.html
AliBashari.html
AbbasMajdi.html
http___dx.doi.org_10.1016_j.ijrmms.2010.07.007 http://dx.doi.org/10.1016/j.ijrmms.2010.07.007
http___www.sciencedirect.com_science_article_B6V4W-50RFN0V-1_2_fa0de8195c17e39f39b1ecead4df4da4 http://www.sciencedirect.com/science/article/B6V4W-50RFN0V-1/2/fa0de8195c17e39f39b1ecead4df4da4
Beiki:2013:IJRMMS Application of genetic programming to predict the uniaxial compressive strength and elastic modulus of carbonate rocks
MortezaBeiki.html
AbbasMajdi.html
AliDadiGivshad.html
http___dx.doi.org_10.1016_j.ijrmms.2013.08.004 http://dx.doi.org/10.1016/j.ijrmms.2013.08.004
http___www.sciencedirect.com_science_article_pii_S1365160913001196 http://www.sciencedirect.com/science/article/pii/S1365160913001196
bekavac-vsnajder:2013:BSNLP GPKEX: Genetically Programmed Keyphrase Extraction from Croatian Texts
MarkoBekavac.html
JanSnajder.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.397.588 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.397.588
http___www.aclweb.org_anthology_W13-2407 http://www.aclweb.org/anthology/W13-2407
http___www.aclweb.org_anthology_W13-2407.pdf http://www.aclweb.org/anthology/W13-2407.pdf
Beldek:2007:IS Strategy creation, decomposition and distribution in particle navigation
UlasBeldek.html
KemalLeblebicioglu.html
http___dx.doi.org_10.1016_j.ins.2006.07.008 http://dx.doi.org/10.1016/j.ins.2006.07.008
Belem:2014:IPM Personalized and object-centered tag recommendation methods for Web 2.0 applications
FabianoMBelem.html
EderFMartins.html
JussaraMarquesdeAlmeida.html
MarcosAndreGoncalves.html
http___dx.doi.org_10.1016_j.ipm.2014.03.002 http://dx.doi.org/10.1016/j.ipm.2014.03.002
http___www.sciencedirect.com_science_article_pii_S0306457314000181 http://www.sciencedirect.com/science/article/pii/S0306457314000181
Belgasem:2002:ACDM Extrinsic Evolution of Finite State Machine
ABelgasem.html
TatianaKalganova.html
AAlmaini.html
http___bura.brunel.ac.uk_handle_2438_2514 http://bura.brunel.ac.uk/handle/2438/2514
http___bura.brunel.ac.uk_bitstream_2438_2514_1_2002_Belgasem_ACDM.pdf http://bura.brunel.ac.uk/bitstream/2438/2514/1/2002_Belgasem_ACDM.pdf
Belhor:2016:AICCSA Intrusion detection based on genetic fuzzy classification system
MBelhor.html
FJemili.html
http___dx.doi.org_10.1109_AICCSA.2016.7945690 http://dx.doi.org/10.1109/AICCSA.2016.7945690
Beligiannis:2005:tIM Nonlinear model structure identification of complex biomedical data using a genetic-programming-based technique
GrigoriosNBeligiannis.html
LambrosVSkarlas.html
SpiridonDLikothanassis.html
KaterinaGPerdikouri.html
http___dx.doi.org_10.1109_TIM.2005.858573 http://dx.doi.org/10.1109/TIM.2005.858573
bell:1999:ESWRNNGA Evolving the Structure and Weights of Recurrent Neural Network though Genetic Algorithms
MattBell.html
Bellucci:thesis Theoretical Studies of Excited State 1,3 Dipolar Cycloadditions
MichaelABellucci.html
http___www.bu.edu_phpbin_calendar_event.php_id_127428_cid_17 http://www.bu.edu/phpbin/calendar/event.php?id=127428&cid=17
http___adsabs.harvard.edu_abs_2013PhDT........20B http://adsabs.harvard.edu/abs/2013PhDT........20B
Belmadani2016-bn MotifGP: DNA Motif Discovery Using Multiobjective Evolution
ManuelBelmadani.html
http___hdl.handle.net_10393_34213 http://hdl.handle.net/10393/34213
https___ruor.uottawa.ca_bitstream_10393_34213_1_Belmadani_Manuel_2016_thesis.pdf https://ruor.uottawa.ca/bitstream/10393/34213/1/Belmadani_Manuel_2016_thesis.pdf
http___dx.doi.org_10.20381_ruor-5077 http://dx.doi.org/10.20381/ruor-5077
Belmadani:2016:CIBCB MotifGP: Using multi-objective evolutionary computing for mining network expressions in DNA sequences
ManuelBelmadani.html
MarcelTurcotte.html
http___dx.doi.org_10.1109_CIBCB.2016.7758133 http://dx.doi.org/10.1109/CIBCB.2016.7758133
belpaeme:1999:evfd Evolution of Visual Feature Detectors
TonyBelpaeme.html
http___arti.vub.ac.be__tony_papers_EvoIASP99.ps.gz http://arti.vub.ac.be/~tony/papers/EvoIASP99.ps.gz
http___citeseer.ist.psu.edu_362631.html http://citeseer.ist.psu.edu/362631.html
BELSCHNER199619 Evaluation of Real-Time Requirements by Simulation Based Analysis
RBelschner.html
http___www.sciencedirect.com_science_article_pii_S1474667017437414 http://www.sciencedirect.com/science/article/pii/S1474667017437414
http___dx.doi.org_10.1016_S1474-6670_17_43741-4 http://dx.doi.org/10.1016/S1474-6670(17)43741-4
benabdallah:2023:AJSE Active Contour Extension Basing on Haralick Texture Features, Multi-gene Genetic Programming, and Block Matching to Segment Thyroid in 3D Ultrasound Images
FatmaZohraBenabdallah.html
LeilaDjerou.html
http___link.springer.com_article_10.1007_s13369-022-07286-3 http://link.springer.com/article/10.1007/s13369-022-07286-3
http___dx.doi.org_10.1007_s13369-022-07286-3 http://dx.doi.org/10.1007/s13369-022-07286-3
Benbassat:2010:CIGPU Evolving Lose-Checkers Players using Genetic Programming
AmitBenbassat.html
MosheSipper.html
http___game.itu.dk_cig2010_proceedings_papers_cig10_005_011.pdf http://game.itu.dk/cig2010/proceedings/papers/cig10_005_011.pdf
http___dx.doi.org_10.1109_ITW.2010.5593376 http://dx.doi.org/10.1109/ITW.2010.5593376
Benbassat:2011:GECCOcomp Evolving board-game players with genetic programming
AmitBenbassat.html
MosheSipper.html
http___dx.doi.org_10.1145_2001858.2002080 http://dx.doi.org/10.1145/2001858.2002080
Benbassat:2012:GPTP More or Less? Two Approaches to Evolving Game-Playing Strategies
AmitBenbassat.html
AchiyaElyasaf.html
MosheSipper.html
http___dx.doi.org_10.1007_978-1-4614-6846-2_12 http://dx.doi.org/10.1007/978-1-4614-6846-2_12
http___dx.doi.org_10.1007_978-1-4614-6846-2_12 http://dx.doi.org/10.1007/978-1-4614-6846-2_12
Benbassat:2012:GECCOcomp Evolving players that use selective game-tree search with genetic programming
AmitBenbassat.html
MosheSipper.html
http___dx.doi.org_10.1145_2330784.2330894 http://dx.doi.org/10.1145/2330784.2330894
Benbassat:2012:CIG Evolving both search and strategy for Reversi players using genetic programming
AmitBenbassat.html
MosheSipper.html
https___bibtex.github.io_CIG-2012-BenbassatS.html https://bibtex.github.io/CIG-2012-BenbassatS.html
http___dx.doi.org_10.1109_CIG.2012.6374137 http://dx.doi.org/10.1109/CIG.2012.6374137
Benbassat:2013:CIG EvoMCTS: Enhancing MCTS-based players through genetic programming
AmitBenbassat.html
MosheSipper.html
http___dx.doi.org_10.1109_CIG.2013.6633631 http://dx.doi.org/10.1109/CIG.2013.6633631
BenbassatDissertation Finding Methods for Evolving Competent Agents in Multiple Domains
AmitBenbassat.html
https___dl.dropboxusercontent.com_u_36726425_ThesisFinalSubmissionWithTitle.pdf https://dl.dropboxusercontent.com/u/36726425/ThesisFinalSubmissionWithTitle.pdf
Benbassat:2014:ieeegames EvoMCTS: A Scalable Approach for General Game Learning
AmitBenbassat.html
MosheSipper.html
http___dx.doi.org_10.1109_TCIAIG.2014.2306914 http://dx.doi.org/10.1109/TCIAIG.2014.2306914
benbouras:2021:AS Prediction of Swelling Index Using Advanced Machine Learning Techniques for Cohesive Soils
MohammedAminBenbouras.html
Alexandru-IonutPetrisor.html
https___www.mdpi.com_2076-3417_11_2_536 https://www.mdpi.com/2076-3417/11/2/536
http___dx.doi.org_10.3390_app11020536 http://dx.doi.org/10.3390/app11020536
BENCHAABENE:2021:CBM Genetic programming based symbolic regression for shear capacity prediction of SFRC beams
WassimBenChaabene.html
MoncefLNehdi.html
http___dx.doi.org_10.1016_j.conbuildmat.2021.122523 http://dx.doi.org/10.1016/j.conbuildmat.2021.122523
https___www.sciencedirect.com_science_article_pii_S095006182100283X https://www.sciencedirect.com/science/article/pii/S095006182100283X
Benchaji:2018:CSNet Using Genetic Algorithm to Improve Classification of Imbalanced Datasets for Credit Card Fraud Detection
IbtissamBenchaji.html
SamiraDouzi.html
BouabidElOuahidi.html
http___dx.doi.org_10.1109_CSNET.2018.8602972 http://dx.doi.org/10.1109/CSNET.2018.8602972
Benes201392 Automatically designed machine vision system for the localization of CCA transverse section in ultrasound images
RadekBenes.html
JanKarasek.html
RadimBurget.html
KamilRiha.html
http___www.sciencedirect.com_science_article_pii_S0169260712001964 http://www.sciencedirect.com/science/article/pii/S0169260712001964
http___dx.doi.org_10.1016_j.cmpb.2012.08.014 http://dx.doi.org/10.1016/j.cmpb.2012.08.014
Bengio:1994:GPslrNN Use of genetic programming for the search of a new learning rule for neutral networks
SamyBengio.html
YoshuaBengio.html
JocelynCloutier.html
http___www.idiap.ch__bengio_cv_publications_ps_bengio_1994_wcci.ps.gz http://www.idiap.ch/~bengio/cv/publications/ps/bengio_1994_wcci.ps.gz
http___citeseer.ist.psu.edu_465154.html http://citeseer.ist.psu.edu/465154.html
http___dx.doi.org_10.1109_ICEC.1994.349932 http://dx.doi.org/10.1109/ICEC.1994.349932
bengio:1995:npl On the Search for New Learning Rules for ANNs
SamyBengio.html
YoshuaBengio.html
JocelynCloutier.html
http___www.iro.umontreal.ca__lisa_pointeurs_bengio_1995_npl.pdf http://www.iro.umontreal.ca/~lisa/pointeurs/bengio_1995_npl.pdf
http___dx.doi.org_10.1007_BF02279935 http://dx.doi.org/10.1007/BF02279935
BenHamid:thesis Evolutionary Algorithms: Handling Constraints and Real-World Application
SanaBenHamida.html
http___www.cmap.polytechnique.fr__sana_these.ps.gz http://www.cmap.polytechnique.fr/~sana/these.ps.gz
http___www.cmap.polytechnique.fr__sana_indexAng.html http://www.cmap.polytechnique.fr/~sana/indexAng.html
oai:HAL:hal-02489115v1 Nested Monte Carlo Expression Discovery vs Genetic Programming for Forecasting Financial Volatility
SanaBenHamida.html
TristanCazenave.html
https___hal-univ-paris10.archives-ouvertes.fr_hal-02489115 https://hal-univ-paris10.archives-ouvertes.fr/hal-02489115
benini:1995:GFESOADF Genetic Fitting: Evolutionary Search of Optimal Approximations for Discrete Functions
LucaBenini.html
conf/idc/BenitezWL14 Gene Expression Programming for Evolving Two-Dimensional Cellular Automata in a Distributed Environment
CesarManuelVargasBenitez.html
WagnerRWeinert.html
HeitorSilverioLopes.html
http___dx.doi.org_10.1007_978-3-319-10422-5 http://dx.doi.org/10.1007/978-3-319-10422-5
Benjamin:2008:cec Evolutionary Route to Computation in Self-Assembled Nanoarrays
SimonCBenjamin.html
http___dx.doi.org_10.1109_CEC.2008.4631216 http://dx.doi.org/10.1109/CEC.2008.4631216
Benkhelifa:2009:cec Design Innovation for Real World Applications, Using Evolutionary Algorithms
ElhadjBenkhelifa.html
GabrielDragffy.html
AnthonyPipe.html
MokhtarNibouche.html
http___dx.doi.org_10.1109_CEC.2009.4983043 http://dx.doi.org/10.1109/CEC.2009.4983043
Benkhelifa:2010:cec Evolutionary design optimisation of a 32-Step Traffic Lights Controller
ElhadjBenkhelifa.html
AshutoshTiwari.html
AnthonyPipe.html
http___dx.doi.org_10.1109_CEC.2010.5586108 http://dx.doi.org/10.1109/CEC.2010.5586108
Bennett:2007:SGAI Learning Sets of Sub-Models for Spatio-Temporal Prediction
AndrewBennett.html
DerekMagee.html
http___www.bcs-sgai.org_ai2007_admin_papers2.php_f_techpapers http://www.bcs-sgai.org/ai2007/admin/papers2.php?f=techpapers
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.150.6694 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.150.6694
http___citeseerx.ist.psu.edu_viewdoc_download_10.1.1.150.6694.pdf http://citeseerx.ist.psu.edu/viewdoc/download/10.1.1.150.6694.pdf
Bennett:2008:CIMA Using Genetic Programming to Learn Models Containing Temporal Relations from Spatio-Temporal Data
AndrewBennett.html
DerekMagee.html
http___ftp.informatik.rwth-aachen.de_Publications_CEUR-WS_Vol-375_paper2.pdf http://ftp.informatik.rwth-aachen.de/Publications/CEUR-WS/Vol-375/paper2.pdf
http___www.comp.leeds.ac.uk_andrewb_Publications_CIMA08.pdf http://www.comp.leeds.ac.uk/andrewb/Publications/CIMA08.pdf
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.142.8374 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.142.8374
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.150.6758 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.150.6758
bennett_a Using genetic programming to learn predictive models from spatio-temporal data
AndrewBennett.html
http___etheses.whiterose.ac.uk_1376_ http://etheses.whiterose.ac.uk/1376/
http___etheses.whiterose.ac.uk_1376_1_bennett_a.pdf http://etheses.whiterose.ac.uk/1376/1/bennett_a.pdf
http___ethos.bl.uk_OrderDetails.do_did_43_uin_uk.bl.ethos.530613 http://ethos.bl.uk/OrderDetails.do?did=43&uin=uk.bl.ethos.530613
bennett:1996:emaa Automatic Creation of an Efficient Multi-Agent Architecture Using Genetic Programming with Architecture-Altering Operations
ForrestBennett.html
http___cognet.mit.edu_sites_default_files_books_9780262315876_pdfs_9780262315876_chap4.pdf http://cognet.mit.edu/sites/default/files/books/9780262315876/pdfs/9780262315876_chap4.pdf
http___cognet.mit.edu_library_books_view_isbn_0262611279 http://cognet.mit.edu/library/books/view?isbn=0262611279
bennett:1996:emaant Emergence of a Multi-Agent Architecture and New Tactics For the Ant Colony Foraging Problem Using Genetic Programming
ForrestBennett.html
http___ieeexplore.ieee.org_xpl_articleDetails.jsp_arnumber_6291906 http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6291906
http___dx.doi.org_10.7551_mitpress_3118.003.0044 http://dx.doi.org/10.7551/mitpress/3118.003.0044
http___dx.doi.org_10.7551_mitpress_3118.001.0001 http://dx.doi.org/10.7551/mitpress/3118.001.0001
bennet:1996:ices60db Evolution of a 60 Decibel op amp using genetic programming
ForrestBennett.html
JohnKoza.html
DavidAndre.html
MartinAKeane.html
http___www.genetic-programming.com_jkpdf_ices1996fhbamplifier60.pdf http://www.genetic-programming.com/jkpdf/ices1996fhbamplifier60.pdf
bennet:1997:msrrrdpe A Multi-Skilled Robot that Recognizes and Responds to Different Problem Environments
ForrestBennett.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_gp1997_bennet_1997_msrrrdpe.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/gp1997/bennet_1997_msrrrdpe.pdf
bennett:1999:SCASE Darwinian Programming and Engineering Design using Genetic Programming
ForrestBennett.html
JohnKoza.html
MartinAKeane.html
DavidAndre.html
http___www.genetic-programming.com_jkpdf_scase1999.pdf http://www.genetic-programming.com/jkpdf/scase1999.pdf
bennet:1999:astsaecGP Automatic Synthesis of the Topology and Sizing for Analog Electrical Circuits Using Genetic Programming
ForrestBennett.html
MartinAKeane.html
DavidAndre.html
JohnKoza.html
http___www.genetic-programming.com_jkpdf_eurogen1999circuits.pdf http://www.genetic-programming.com/jkpdf/eurogen1999circuits.pdf
bennett:1999:AISB Genetic programming: Biologically inspired computation that exhibits creativity in solving non-trivial problems
ForrestBennett.html
JohnKoza.html
MartinAKeane.html
DavidAndre.html
http___www.genetic-programming.com_jkpdf_aisb1999.pdf http://www.genetic-programming.com/jkpdf/aisb1999.pdf
bennett:1999:BPCSPHPD Building a Parallel Computer System for \$18,000 that Performs a Half Peta-Flop per Day
ForrestBennett.html
JohnKoza.html
JamesShipman.html
OscarStiffelman.html
http___www.genetic-programming.com_jkpdf_gecco1999beowulf.pdf http://www.genetic-programming.com/jkpdf/gecco1999beowulf.pdf
http___gpbib.cs.ucl.ac.uk_gecco1999_RW-788.pdf http://gpbib.cs.ucl.ac.uk/gecco1999/RW-788.pdf
http___gpbib.cs.ucl.ac.uk_gecco1999_RW-788.ps http://gpbib.cs.ucl.ac.uk/gecco1999/RW-788.ps
bennett:1999:EMGPACPDF Evolution by Means of Genetic Programming of Analog Circuits that Perform Digital Functions
ForrestBennett.html
JohnKoza.html
MartinAKeane.html
JessenYu.html
WilliamJMydlowec.html
OscarStiffelman.html
http___www.genetic-programming.com_jkpdf_gecco1999analog.pdf http://www.genetic-programming.com/jkpdf/gecco1999analog.pdf
http___gpbib.cs.ucl.ac.uk_gecco1999_RW-787.pdf http://gpbib.cs.ucl.ac.uk/gecco1999/RW-787.pdf
http___gpbib.cs.ucl.ac.uk_gecco1999_RW-787.ps http://gpbib.cs.ucl.ac.uk/gecco1999/RW-787.ps
bennett:2000:ICES Automatic synthesis, placement, and routing of an amplifier circuit by means of genetic programming
ForrestBennett.html
JohnKoza.html
JessenYu.html
WilliamJMydlowec.html
http___www.genetic-programming.com_jkpdf_ices2000.pdf http://www.genetic-programming.com/jkpdf/ices2000.pdf
http___www.springer.de_cgi-bin_search_book.pl_isbn_3-540-67338-5 http://www.springer.de/cgi-bin/search_book.pl?isbn=3-540-67338-5
http___citeseer.ist.psu.edu_471655.html http://citeseer.ist.psu.edu/471655.html
Bennett:2000:GECCOlb Using Genetic Programming to Design Decentralized Controllers for Self-Reconfigurable Modular Robots
ForrestBennett.html
EleanorGRieffel.html
bennett:2000:EH Design of Decentralized Controllers for Self-Reconfigurable Modular Robots Using Genetic Programming
ForrestBennett.html
EleanorGRieffel.html
http___dx.doi.org_10.1109_EH.2000.869341 http://dx.doi.org/10.1109/EH.2000.869341
bennett:2001:EuroGP Programmable Smart Membranes: Using Genetic Programming to Evolve Scalable Distributed Controllers for a Novel Self-Reconfigurable Modular Robotic Application
ForrestBennett.html
BradDolin.html
EleanorGRieffel.html
http___dx.doi.org_10.1007_3-540-45355-5_18 http://dx.doi.org/10.1007/3-540-45355-5_18
benson:2000:E Evolving automatic target detection algorithms
KarlABenson.html
Benson:2000:GECCO Automatic Detection of Ships in Spaceborne SAR Imagery
KarlABenson.html
DavidBooth.html
JamesPCubillo.html
ColinReeves.html
http___gpbib.cs.ucl.ac.uk_gecco2000_RW002.pdf http://gpbib.cs.ucl.ac.uk/gecco2000/RW002.pdf
http___gpbib.cs.ucl.ac.uk_gecco2000_RW002.ps http://gpbib.cs.ucl.ac.uk/gecco2000/RW002.ps
benson:2000:efsmegpatdsi Evolving Finite State Machines with Embedded Genetic Programming for Automatic Target Detection within SAR Imagery
KarlABenson.html
http___dx.doi.org_10.1109_CEC.2000.870838 http://dx.doi.org/10.1109/CEC.2000.870838
benson:2000:PCEMMA Performing Classification with an Environment Manipulating Mutable Automata (EMMA)
KarlABenson.html
http___dx.doi.org_10.1109_CEC.2000.870305 http://dx.doi.org/10.1109/CEC.2000.870305
benson4 On the use of evolution to construct finite state machines and mathematical functions to perform automatic target detection
KarlABenson.html
DavidBooth.html
JamesPCubillo.html
ColinReeves.html
http___www.amazon.co.uk_Image-Processing-III-Mathematical-Applications_dp_1898563721 http://www.amazon.co.uk/Image-Processing-III-Mathematical-Applications/dp/1898563721
benson5 Evolving Automatic Target Detection Algorithms that logically Combine Decision Spaces
KarlABenson.html
http___www.bmva.ac.uk_bmvc_2000_papers_p69.pdf http://www.bmva.ac.uk/bmvc/2000/papers/p69.pdf
Bensusan:thesis Automatic bias learning: an inquiry into the inductive basis of induction
HilanBensusan.html
http___www.cs.bris.ac.uk_Publications_Papers_1000410.pdf http://www.cs.bris.ac.uk/Publications/Papers/1000410.pdf
https___ethos.bl.uk_OrderDetails.do_uin_uk.bl.ethos.787184 https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.787184
Bentley:1997:WSC2 Generic Evolutionary Design
PeterJBentley.html
JPWakefield.html
http___eprints.hud.ac.uk_4053_ http://eprints.hud.ac.uk/4053/
http___www.springer.com_engineering_mechanical_eng_book_978-3-540-76214-0 http://www.springer.com/engineering/mechanical+eng/book/978-3-540-76214-0
http___dx.doi.org_10.1007_978-1-4471-0427-8_31 http://dx.doi.org/10.1007/978-1-4471-0427-8_31
Bentley:1999:AVOCAAD The Future of Evolutionary Design Research
PeterJBentley.html
http___cumincad.scix.net_cgi-bin_works_BrowseTree_field_series_separator___recurse_0_order_AZ_value_AVOCAAD http://cumincad.scix.net/cgi-bin/works/BrowseTree?field=series&separator=:&recurse=0&order=AZ&value=AVOCAAD
http___cumincad.scix.net_cgi-bin_works_Show_616c http://cumincad.scix.net/cgi-bin/works/Show?616c
http___papers.cumincad.org_data_works_att_616c.content.pdf http://papers.cumincad.org/data/works/att/616c.content.pdf
Bentley:1999:AISB Is evolution creative?
PeterJBentley.html
http___www.cs.ucl.ac.uk_staff_P.Bentley_BEC6.pdf http://www.cs.ucl.ac.uk/staff/P.Bentley/BEC6.pdf
bentley:1999:TWGDACEEDP Three Ways to Grow Designs: A Comparison of Embryogenies for an Evolutionary Design Problem
PeterJBentley.html
SanjeevKumar.html
http___www.cs.ucl.ac.uk_staff_p.bentley_BEKUC1.pdf http://www.cs.ucl.ac.uk/staff/p.bentley/BEKUC1.pdf
http___gpbib.cs.ucl.ac.uk_gecco1999_GA-329.ps http://gpbib.cs.ucl.ac.uk/gecco1999/GA-329.ps
http___dl.acm.org_citation.cfm_id_2933923.2933928 http://dl.acm.org/citation.cfm?id=2933923.2933928
bentley:1999:EA Evolving fuzzy detectives: An investigation into the evolution of fuzzy rules
PeterJBentley.html
http___www.cs.ucl.ac.uk_staff_P.Bentley_BEC7.pdf http://www.cs.ucl.ac.uk/staff/P.Bentley/BEC7.pdf
Bentley:evdes Evolutionary Design by Computers
PeterJBentley.html
http___www.cs.ucl.ac.uk_staff_p.bentley_evdes.html http://www.cs.ucl.ac.uk/staff/p.bentley/evdes.html
http___www.amazon.com_Evolutionary-Design-Computers-Peter-Bentley_dp_155860605X http://www.amazon.com/Evolutionary-Design-Computers-Peter-Bentley/dp/155860605X
Bentley:1999:intro An introduction to evolutionary design by computers
PeterJBentley.html
Bentley:1999:WSC Evolving fuzzy detectives: an investigation into the evolution of fuzzy rules
PeterJBentley.html
http___www.cs.ucl.ac.uk_staff_P.Bentley_BECH4.pdf http://www.cs.ucl.ac.uk/staff/P.Bentley/BECH4.pdf
http___www.amazon.com_Computing-Industrial-Applications-Yukinori-Suzuki_dp_185233293X http://www.amazon.com/Computing-Industrial-Applications-Yukinori-Suzuki/dp/185233293X
http___dx.doi.org_10.1007_978-1-4471-0509-1_8 http://dx.doi.org/10.1007/978-1-4471-0509-1_8
Bentley:2000:ACDM Exploring component-based representations - the secret of creativity by evolution?
PeterJBentley.html
http___www.cs.ucl.ac.uk_staff_P.Bentley_BEC9.pdf http://www.cs.ucl.ac.uk/staff/P.Bentley/BEC9.pdf
http___www.springer.com_engineering_mechanical_eng_book_978-1-85233-300-3 http://www.springer.com/engineering/mechanical+eng/book/978-1-85233-300-3
http___www.springer.com_engineering_mechanical_engineering_book_978-1-85233-300-3 http://www.springer.com/engineering/mechanical+engineering/book/978-1-85233-300-3
Bentley:2000:EA ``Evolutionary, my dear Watson'' Investigating Committee-based Evolution of Fuzzy Rules for the Detection of Suspicious Insurance Claims
PeterJBentley.html
http___gpbib.cs.ucl.ac.uk_gecco2000_RW074.pdf http://gpbib.cs.ucl.ac.uk/gecco2000/RW074.pdf
http___gpbib.cs.ucl.ac.uk_gecco2000_RW074.ps http://gpbib.cs.ucl.ac.uk/gecco2000/RW074.ps
bentley:2001:NTEC New Trends in Evolutionary Computation
PeterJBentley.html
TimGordon.html
JungwonKim.html
SanjeevKumar.html
http___dx.doi.org_10.1109_CEC.2001.934385 http://dx.doi.org/10.1109/CEC.2001.934385
Bentley:2001:geccowks Ten steps to make a perfect creative evolutionary design system
PeterJBentley.html
Una-MayO'Reilly.html
http___sydney.edu.au_engineering_it__josiah_gecco_workshop_bentley.pdf http://sydney.edu.au/engineering/it/~josiah/gecco_workshop_bentley.pdf
bentley:2001:CES An Introduction to Creative Evolutionary Systems
PeterJBentley.html
DavidWCorne.html
http___www.sciencedirect.com_science_book_9781558606739 http://www.sciencedirect.com/science/book/9781558606739
http___dx.doi.org_10.1016_B978-155860673-9_50035-5 http://dx.doi.org/10.1016/B978-155860673-9/50035-5
Bentley:2002:bookCES Creative evolutionary systems
PeterJBentley.html
DavidWCorne.html
http___www.amazon.com_Creative-Evolutionary-Kaufmann-Artificial-Intelligence_dp_1558606734 http://www.amazon.com/Creative-Evolutionary-Kaufmann-Artificial-Intelligence/dp/1558606734
Bentley:2002:DB Digital Biology. How Nature is Transforming Our Technology and Our Lives
PeterJBentley.html
http___www.amazon.com_Digital-Biology-Peter-J-Bentley_dp_0743204476 http://www.amazon.com/Digital-Biology-Peter-J-Bentley/dp/0743204476
Bentley:2017:ieeeSSCI Fault tolerant fusion of office sensor data using cartesian genetic programming
PeterJBentley.html
SLLim.html
http___dx.doi.org_10.1109_SSCI.2017.8280827 http://dx.doi.org/10.1109/SSCI.2017.8280827
benhahia:1997:GPvd Genetic Programming for Vehicle Dispatch
IlhamBenyahia.html
Jean-YvesPotvin.html
http___dx.doi.org_10.1109_ICEC.1997.592371 http://dx.doi.org/10.1109/ICEC.1997.592371
Benyahia:1998:SMC Decision Support for Vehicle Dispatching Using Genetic Programming
IlhamBenyahia.html
Jean-YvesPotvin.html
http___ieeexplore.ieee.org_iel4_3468_14669_00668962.pdf http://ieeexplore.ieee.org/iel4/3468/14669/00668962.pdf
conf/dms/BenyahiaT08 Optimizing the Architecture of Adaptive Complex Applications Using Genetic Programming
IlhamBenyahia.html
VincentTalbot.html
Berardi:2008:JH Development of pipe deterioration models for water distribution systems using EPR
LuigiBerardi.html
ZoranKapelan.html
OrazioGiustolisi.html
DraganSavic.html
http___www.iwaponline.com_jh_010_0113_0100113.pdf http://www.iwaponline.com/jh/010/0113/0100113.pdf
http___dx.doi.org_10.2166_hydro.2008.012 http://dx.doi.org/10.2166/hydro.2008.012
Berardi:2009:WST An effective multi-objective approach to prioritisation of sewer pipe inspection
LuigiBerardi.html
OrazioGiustolisi.html
DraganSavic.html
ZoranKapelan.html
http___dx.doi.org_10.2166_wst.2009.432 http://dx.doi.org/10.2166/wst.2009.432
DBLP:conf/maics/BerarducciJMS04 GEVOSH: Using Grammatical Evolution to Generate Hashing Functions
PatrickBerarducci.html
DemetriusJordan.html
DavidMartin.html
JenniferSeitzer.html
http___citeseerx.ist.psu.edu_viewdoc_download_doi_10.1.1.3.4612.pdf http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.3.4612.pdf
berarducci:2004:ugw:pber GEVOSH: Using Grammatical Evolution to Generate Hashing Functions
PatrickBerarducci.html
DemetriusJordan.html
DavidMartin.html
JenniferSeitzer.html
http___gpbib.cs.ucl.ac.uk_gecco2004_WUGW001.pdf http://gpbib.cs.ucl.ac.uk/gecco2004/WUGW001.pdf
Beretta:2016:PDP A Machine Learning Approach for the Integration of miRNA-Target Predictions
StefanoBeretta.html
MauroCastelli.html
YulianaMartinez.html
LuisMunozDelgado.html
SaraSilva.html
LeonardoTrujillo.html
LucianoMilanesi.html
IvanMerelli.html
http___dx.doi.org_10.1109_PDP.2016.125 http://dx.doi.org/10.1109/PDP.2016.125
Beretta:2018:complexity A Scalable Genetic Programming Approach to Integrate miRNA-Target Predictions: Comparing Different Parallel Implementations of M3GP
StefanoBeretta.html
MauroCastelli.html
LuisMunozDelgado.html
LeonardoTrujillo.html
YulianaMartinez.html
AlesPopovic.html
LucianoMilanesi.html
IvanMerelli.html
http___downloads.hindawi.com_journals_complexity_2018_4963139.pdf http://downloads.hindawi.com/journals/complexity/2018/4963139.pdf
http___dx.doi.org_10.1155_2018_4963139 http://dx.doi.org/10.1155/2018/4963139
beretz:2002:EAMEABGP Evolution of Algorithms for Multi-Species Emergent Assembly Behavior using Genetic Programming
JohnPBeretz.html
Berge:2021:SBST Beacon: Automated Test Generation for Stack-Trace Reproduction using Genetic Algorithms
AlexandreBergel.html
IgnacioSlaterMunoz.html
https___drive.google.com_file_d_1fcL-M3GmBus2fnixe8zGNyS00crxV4a-_view https://drive.google.com/file/d/1fcL-M3GmBus2fnixe8zGNyS00crxV4a-/view
https___uchile-my.sharepoint.com__p__g_personal_ignacio_slater_uchile_cl_EUntuVTvl_1EiFVA3ubyrQwByC_FmNBs8r_8kyA-K97nKw_e_ZhU9UW https://uchile-my.sharepoint.com/:p:/g/personal/ignacio_slater_uchile_cl/EUntuVTvl_1EiFVA3ubyrQwByC_FmNBs8r_8kyA-K97nKw?e=ZhU9UW
https___drive.google.com_file_d_1FcavXIPaPcfZY4pu_y_DmgprHSZJfSzQ_view_usp_sharing https://drive.google.com/file/d/1FcavXIPaPcfZY4pu_y_DmgprHSZJfSzQ/view?usp=sharing
http___dx.doi.org_10.1109_SBST52555.2021.00007 http://dx.doi.org/10.1109/SBST52555.2021.00007
Bergen:2010:GPTP Evolutionary Art Using Summed Multi-Objective Ranks
StevenBergen.html
BrianJRoss.html
http___www.springer.com_computer_ai_book_978-1-4419-7746-5 http://www.springer.com/computer/ai/book/978-1-4419-7746-5
http___dx.doi.org_10.1007_978-1-4419-7747-2_14 http://dx.doi.org/10.1007/978-1-4419-7747-2_14
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StevenBergen.html
https___dr.library.brocku.ca_bitstream_handle_10464_3916_Brock_Bergen_Raphael_2011.pdf https://dr.library.brocku.ca/bitstream/handle/10464/3916/Brock_Bergen_Raphael_2011.pdf
http___hdl.handle.net_10464_3916 http://hdl.handle.net/10464/3916
Bergen:2012:EvoMUSART Aesthetic 3D Model Evolution
StevenBergen.html
BrianJRoss.html
http___dx.doi.org_10.1007_978-3-642-29142-5_2 http://dx.doi.org/10.1007/978-3-642-29142-5_2
Bergen:2013:GPEM Aesthetic 3D model evolution
StevenBergen.html
BrianJRoss.html
http___dx.doi.org_10.1007_s10710-013-9187-8 http://dx.doi.org/10.1007/s10710-013-9187-8
berger:2002:DMILFAGP Development of a Minimal Information Line Following Algorithm using Genetic Programming
EricBerger.html
http___www.genetic-programming.org_sp2002_Berger.pdf http://www.genetic-programming.org/sp2002/Berger.pdf
bergstrom:2000:eiraatrGP Enhancing Information Retrieval by Automatic Acquisition of Textual Relations using Genetic Programming
AgnetaBergstrom.html
PatricijaJaksetic.html
PeterNordin.html
http___web.media.mit.edu__lieber_IUI_Bergstrom_Bergstrom.pdf http://web.media.mit.edu/~lieber/IUI/Bergstrom/Bergstrom.pdf
bergstrom:2000:atrawGP Acquiring Textual Relations Automatically on the Web using Genetic Programming
AgnetaBergstrom.html
PatricijaJaksetic.html
PeterNordin.html
http___dx.doi.org_10.1007_978-3-540-46239-2_17 http://dx.doi.org/10.1007/978-3-540-46239-2_17
beriro:2012:WRM Letter to the Editor on ``Precipitation Forecasting Using Wavelet-Genetic Programming and Wavelet-Neuro-Fuzzy Conjunction Models'' by Ozgur Kisi \& Jalal Shiri [Water Resources Management 25 (2011) 3135-3152]
DarrenJBeriro.html
RobertJAbrahart.html
NickJMount.html
CPaulNathanail.html
http___link.springer.com_article_10.1007_s11269-012-0049-6 http://link.springer.com/article/10.1007/s11269-012-0049-6
http___dx.doi.org_10.1007_s11269-012-0049-6 http://dx.doi.org/10.1007/s11269-012-0049-6
Beriro2012 'Comparison of genetic programming with neuro-fuzzy systems for predicting short-term water table depth fluctuations' by Jalal Shir and Ozgur Kisi [Computers and Geosciences (2011) 1692-1701]
DarrenJBeriro.html
RobertJAbrahart.html
CPaulNathanail.html
http___dx.doi.org_10.1016_j.cageo.2012.04.014 http://dx.doi.org/10.1016/j.cageo.2012.04.014
http___www.sciencedirect.com_science_article_pii_S0098300412001379_v_s5 http://www.sciencedirect.com/science/article/pii/S0098300412001379?v=s5
http___www.sciencedirect.com_science_article_pii_S0098300412001379 http://www.sciencedirect.com/science/article/pii/S0098300412001379
Beriro:2013:CG 'Comparison of genetic programming with neuro-fuzzy systems for predicting short-term water table depth fluctuations' by Jalal Shir \& Ozgur Kisi [Computers and Geosciences (2011) 1692-1701]
DarrenJBeriro.html
RobertJAbrahart.html
CPaulNathanail.html
http___dx.doi.org_10.1016_j.cageo.2012.04.014 http://dx.doi.org/10.1016/j.cageo.2012.04.014
http___www.sciencedirect.com_science_article_pii_S0098300412001379 http://www.sciencedirect.com/science/article/pii/S0098300412001379
Berlanga:2005:GFS Learning fuzzy rules using Genetic Programming: Context-free grammar definition for high-dimensionality problems
FranciscoJoseBerlanga.html
MariaJosedelJesus.html
FranciscoHerrera.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.415.2932 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.415.2932
http___sci2s.ugr.es_keel_pdf_specific_congreso_gfs2005.pdf http://sci2s.ugr.es/keel/pdf/specific/congreso/gfs2005.pdf
Berlanga:2006:ICAISC A Genetic-Programming-Based Approach for the Learning of Compact Fuzzy Rule-Based Classification Systems
FranciscoJoseBerlanga.html
MariaJosedelJesus.html
MariaJoseGacto.html
FranciscoHerrera.html
http___dx.doi.org_10.1007_11785231_20 http://dx.doi.org/10.1007/11785231_20
Berlanga:2008:GEFS A novel genetic cooperative-competitive fuzzy rule based learning method using genetic programming for high dimensional problems
FranciscoJoseBerlanga.html
MariaJosedelJesus.html
FranciscoHerrera.html
http___dx.doi.org_10.1109_GEFS.2008.4484575 http://dx.doi.org/10.1109/GEFS.2008.4484575
Berlanga20101183 GP-COACH: Genetic Programming-based learning of COmpact and ACcurate fuzzy rule-based classification systems for High-dimensional problems
FranciscoJoseBerlanga.html
AntonioJesusRiveraRivas.html
MariaJosedelJesus.html
FranciscoHerrera.html
http___dx.doi.org_10.1016_j.ins.2009.12.020 http://dx.doi.org/10.1016/j.ins.2009.12.020
http___www.sciencedirect.com_science_article_B6V0C-4Y34R0J-1_2_82039ab1549f5a0d0fc4d73b2a30bfa6 http://www.sciencedirect.com/science/article/B6V0C-4Y34R0J-1/2/82039ab1549f5a0d0fc4d73b2a30bfa6
Bernabe-Rodriguez:2020:PPSN Generation of New Scalarizing Functions Using Genetic Programming
AminVBernabeRodriguez.html
CarlosArtemioCoelloCoello.html
http___dx.doi.org_10.1007_978-3-030-58115-2_1 http://dx.doi.org/10.1007/978-3-030-58115-2_1
bernabe-rodriguez:2023:GEWS2023 Designing Scalarizing Functions Using Grammatical Evolution
AminVBernabeRodriguez.html
CarlosArtemioCoelloCoello.html
http___dx.doi.org_10.1145_3583133.3596354 http://dx.doi.org/10.1145/3583133.3596354
Bernal-Urbina:2008:ijcnn Time Series Forecasting through Polynomial Artificial Neural Networks and Genetic Programming
ManuelBernal-Urbina.html
AlejandroFlores-Mendez.html
http___dx.doi.org_10.1109_IJCNN.2008.4634270 http://dx.doi.org/10.1109/IJCNN.2008.4634270
Bernard:2020:ICTAI Inferring Temporal Parametric L-systems Using Cartesian Genetic Programming
JasonBernard.html
IanMcQuillan.html
http___dx.doi.org_10.1109_ICTAI50040.2020.00095 http://dx.doi.org/10.1109/ICTAI50040.2020.00095
Bernardi:2006:CEC An Evolutionary Methodology to Enhance Processor Software-Based Diagnosis
PaoloBernardi.html
ErnestoSanchez.html
MassimilianoSchillaci.html
GiovanniSquillero.html
MatteoSonzaReorda.html
http___dx.doi.org_10.1109_CEC.2006.1688401 http://dx.doi.org/10.1109/CEC.2006.1688401
Bernardino:2009:ICARIS Grammar-Based Immune Programming for Symbolic Regression
HederSoaresBernardino.html
HelioJCBarbosa.html
http___dx.doi.org_10.1007_978-3-642-03246-2_26 http://dx.doi.org/10.1007/978-3-642-03246-2_26
http___dx.doi.org_10.1007_978-3-642-03246-2_26 http://dx.doi.org/10.1007/978-3-642-03246-2_26
Bernardino:2010:CILAMCE Comparing two ways of inferring a differential equation model via Grammar-based Immune Programming
HederSoaresBernardino.html
HelioJCBarbosa.html
http___www.cimec.org.ar_ojs_index.php_mc_article_view_3656_3569 http://www.cimec.org.ar/ojs/index.php/mc/article/view/3656/3569
Bernardino:2011:NC Grammar-based immune programming
HederSoaresBernardino.html
HelioJCBarbosa.html
http___dx.doi.org_10.1007_s11047-010-9217-x http://dx.doi.org/10.1007/s11047-010-9217-x
Bernardino:2011:ICARIS Inferring Systems of Ordinary Differential Equations via Grammar-Based Immune Programming
HederSoaresBernardino.html
HelioJCBarbosa.html
http___dx.doi.org_10.1007_978-3-642-22371-6_19 http://dx.doi.org/10.1007/978-3-642-22371-6_19
http___dx.doi.org_10.1007_978-3-642-22371-6_19 http://dx.doi.org/10.1007/978-3-642-22371-6_19
Bernardino:2011:CILAMCE Inferring strains on a locally deformed pipe via grammar-based immune programming
HederSoaresBernardino.html
EduardoSCastro.html
JoaoNisanCorreiaGuerreiro.html
HelioJCBarbosa.html
Bernardino:2012:WCCM Simultaneous topology, shape, and sizing optimization of Truss structures via grammatical evolution
HederSoaresBernardino.html
HelioJCBarbosa.html
bernardinobarbosa2014 Infer\^encia de Modelos Utilizando a Programa\cc\~ao Imunol\'ogica Gramatical
HederSoaresBernardino.html
HelioJCBarbosa.html
http___omnipax.com.br_site__page_id_549 http://omnipax.com.br/site/?page_id=549
http___dx.doi.org_10.7436_2014.tica.04 http://dx.doi.org/10.7436/2014.tica.04
Bernardino:2015:CEC Grammar-based Immune Programming to Assist in the Solution of Functional Equations
HederSoaresBernardino.html
HelioJCBarbosa.html
http___dx.doi.org_10.1109_CEC.2015.7257021 http://dx.doi.org/10.1109/CEC.2015.7257021
Bernardo:2012:UKCI An interval type-2 Fuzzy Logic based system for model generation and summarization of arbitrage opportunities in stock markets
DarioBernardo.html
HaniHagras.html
EdwardPKTsang.html
http___dx.doi.org_10.1109_UKCI.2012.6335765 http://dx.doi.org/10.1109/UKCI.2012.6335765
Bernardo:2013:ieeeFUZZ A Genetic Type-2 fuzzy logic based system for financial applications modelling and prediction
DarioBernardo.html
HaniHagras.html
EdwardPKTsang.html
http___dx.doi.org_10.1109_FUZZ-IEEE.2013.6622310 http://dx.doi.org/10.1109/FUZZ-IEEE.2013.6622310
Berndt:2021:SBCCI Accuracy and Size Trade-off of a Cartesian Genetic Programming Flow for Logic Optimization
AugustoAndreSouzaBerndt.html
IsacdeSouzaCampos.html
BryanMartinsLima.html
MateusGrellert.html
JonataTyskaCarvalho.html
CristinaMeinhardt.html
BrunnoAdeAbreu.html
http___dx.doi.org_10.1109_SBCCI53441.2021.9529968 http://dx.doi.org/10.1109/SBCCI53441.2021.9529968
Berndt:2022:JICS A CGP-based Logic Flow: Optimizing Accuracy and Size of Approximate Circuits
AugustoAndreSouzaBerndt.html
BrunnoAdeAbreu.html
IsacdeSouzaCampos.html
BryanMartinsLima.html
MateusGrellert.html
JonataTyskaCarvalho.html
CristinaMeinhardt.html
https___jics.org.br_ojs_index.php_JICS_article_view_546_380 https://jics.org.br/ojs/index.php/JICS/article/view/546/380
http___dx.doi.org_10.29292_jics.v17i1.546 http://dx.doi.org/10.29292/jics.v17i1.546
Bernhardt:2008:EC Finding Alternatives and Reduced Formulations for Process-Based Models
KnutBernhardt.html
http___dx.doi.org_10.1162_evco.2008.16.1.63 http://dx.doi.org/10.1162/evco.2008.16.1.63
bersano-begey:1996:pici A Platform-Independent Collaborative Interface for Genetic Programming Applications: Image Analysis for Scientific Inquiry
TommasoFBersano-Begey.html
JasonMDaida.html
JohnFVesecky.html
FrankLLudwig.html
bersano-begey:1997:jcifGPa A Java Collaborative Interface for Genetic Programming Applications: Image Analysis and Scientific Inquiry
TommasoFBersano-Begey.html
JasonMDaida.html
JohnFVesecky.html
FrankLLudwig.html
ftp___ftp.eecs.umich.edu_people_daida_papers_ICEC97image.pdf ftp://ftp.eecs.umich.edu/people/daida/papers/ICEC97image.pdf
Bersano-Begey:1997:cedslo Controlling Exploration, Diversity and Escaping Local Optima in GP: Adapting Weights of Training Sets to Model Resource Consumption
TommasoFBersano-Begey.html
Bersano-Begey:1997:grffc A Discussion on Generality and Robustness and a Framework for Fitness Set Construction in Genetic Programming to Promote Robustness
TommasoFBersano-Begey.html
JasonMDaida.html
bersano-begey:1997: Multi-Agent Teamwork, Adaptive Learning and Adversarial Planning in Robocup Using a PRS Architecture
TommasoFBersano-Begey.html
PatrickGKenny.html
EdmundHDurfee.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.53.1962 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.53.1962
http___citeseerx.ist.psu.edu_viewdoc_download_jsessionid_BC06E9197308E7FDF6E8347CECE81DC1_doi_10.1.1.53.1962_rep_rep1_type_pdf http://citeseerx.ist.psu.edu/viewdoc/download;jsessionid=BC06E9197308E7FDF6E8347CECE81DC1?doi=10.1.1.53.1962&rep=rep1&type=pdf
Bersini:2000:GECCO Chemical Crossover
HuguesBersini.html
http___gpbib.cs.ucl.ac.uk_gecco2000_AA140.pdf http://gpbib.cs.ucl.ac.uk/gecco2000/AA140.pdf
http___gpbib.cs.ucl.ac.uk_gecco2000_AA140.ps http://gpbib.cs.ucl.ac.uk/gecco2000/AA140.ps
berstein:2004:mpefsgp Multiobjective Parsimony Enforcement for Superior Generalisation Performance
YanivBernstein.html
XiaodongLi.html
VictorCiesielski.html
AndySong.html
http___goanna.cs.rmit.edu.au__ybernste_papers_Bernstein_CEC_2004.pdf http://goanna.cs.rmit.edu.au/~ybernste/papers/Bernstein_CEC_2004.pdf
http___dx.doi.org_10.1109_CEC.2004.1330841 http://dx.doi.org/10.1109/CEC.2004.1330841
Berthier:2010:LION Consistency Modifications for Automatically Tuned Monte-Carlo Tree Search
VincentBerthier.html
HassenDoghmen.html
OlivierTeytaud.html
http___hal.archives-ouvertes.fr_docs_00_43_71_46_PDF_consistency.pdf http://hal.archives-ouvertes.fr/docs/00/43/71/46/PDF/consistency.pdf
HAL_http___hal.archives-ouvertes.fr_inria-00437146_en_ HAL:http://hal.archives-ouvertes.fr/inria-00437146/en/
Bertolini:2018:SP Novel Methods Generated by Genetic Programming for the Guillotine-Cutting Problem
VittorioBertolini.html
CarlosReyBarra.html
MauricioSepulveda.html
VictorParada.html
http___downloads.hindawi.com_journals_sp_2018_6971827.pdf http://downloads.hindawi.com/journals/sp/2018/6971827.pdf
http___dx.doi.org_10.1155_2018_6971827 http://dx.doi.org/10.1155/2018/6971827
Bertram:1997:ris Reconstructing Incomplete Signals Using Nonlinear Interpolation and Genetic Algorithms
RobertRBertram.html
JasonMDaida.html
JohnFVesecky.html
GuyAMeadows.html
ChristianWolf.html
Berutich:2016:ESA Robust technical trading strategies using GP for algorithmic portfolio selection
JoseManuelBerutich.html
FranciscoLopez.html
FranciscoLunaValero.html
DavidQuintanaMontero.html
http___dx.doi.org_10.1016_j.eswa.2015.10.040 http://dx.doi.org/10.1016/j.eswa.2015.10.040
http___www.sciencedirect.com_science_article_pii_S0957417415007447 http://www.sciencedirect.com/science/article/pii/S0957417415007447
Berutich:thesis Robust Optimization of Algorithmic Trading Systems
JoseManuelBerutich.html
https___hdl.handle.net_10630_15353 https://hdl.handle.net/10630/15353
https___riuma.uma.es_xmlui_bitstream_handle_10630_15353_TD_BERUTICH__20LINDQUIST_Jose_Manuel.pdf https://riuma.uma.es/xmlui/bitstream/handle/10630/15353/TD_BERUTICH_%20LINDQUIST_Jose_Manuel.pdf
1068303 Function choice, resiliency and growth in genetic programming
SireeshaBesetti.html
TerenceSoule.html
http___gpbib.cs.ucl.ac.uk_gecco2005_docs_p1771.pdf http://gpbib.cs.ucl.ac.uk/gecco2005/docs/p1771.pdf
http___dx.doi.org_10.1145_1068009.1068303 http://dx.doi.org/10.1145/1068009.1068303
Beshah:2012:INCoS Learning the Classification of Traffic Accident Types
TibebeBeshah.html
DejeneEjigu.html
PavelKromer.html
VaclavSnasel.html
JanPlatos.html
AjithAbraham.html
http___dx.doi.org_10.1109_iNCoS.2012.75 http://dx.doi.org/10.1109/iNCoS.2012.75
bettenhausen:1995:biox BioX++ -- New results and conceptions concerning the intelligent control of biotechnological processes
KurtDirkBettenhausen.html
SGehlen.html
PeterMarenbach.html
HTolle.html
http___www.rtr.tu-darmstadt.de_fileadmin_literature_rst_95_03.pdf http://www.rtr.tu-darmstadt.de/fileadmin/literature/rst_95_03.pdf
bettenhausen:1995:sombbff Self-organizing modeling of biotechnological batch and fed-batch fermentations
KurtDirkBettenhausen.html
PeterMarenbach.html
http___www.rtr.tu-darmstadt.de_fileadmin_literature_rst_95_23.ps.gz http://www.rtr.tu-darmstadt.de/fileadmin/literature/rst_95_23.ps.gz
bettenhausen:1995:sombbffGP Self-organizing Structured modeling of a Biotechnological Fed-batch fermentation by Means of Genetic Programming
KurtDirkBettenhausen.html
PeterMarenbach.html
StephanFreyer.html
HansRettenmaier.html
UlrichNieken.html
http___www.rtr.tu-darmstadt.de_fileadmin_literature_rst_95_24.pdf http://www.rtr.tu-darmstadt.de/fileadmin/literature/rst_95_24.pdf
http___dx.doi.org_10.1049_cp_19951095 http://dx.doi.org/10.1049/cp:19951095
beura:2018:AJSE Operational Analysis of Signalized Street Segments Using Multi-gene Genetic Programming and Functional Network Techniques
SambitKumarBeura.html
PrasantaKumarBhuyan.html
http___link.springer.com_article_10.1007_s13369-018-3176-4 http://link.springer.com/article/10.1007/s13369-018-3176-4
http___dx.doi.org_10.1007_s13369-018-3176-4 http://dx.doi.org/10.1007/s13369-018-3176-4
BEURA:2020:JTH Service quality analysis of signalized intersections from the perspective of bicycling
SambitKumarBeura.html
KondamudiVinodKumar.html
ShaktiSuman.html
PrasantaKumarBhuyan.html
http___dx.doi.org_10.1016_j.jth.2020.100827 http://dx.doi.org/10.1016/j.jth.2020.100827
http___www.sciencedirect.com_science_article_pii_S2214140519300866 http://www.sciencedirect.com/science/article/pii/S2214140519300866
BEURA:2021:JTH Bicycle Comfort Level Rating (BCLR) model for urban street segments in mid-sized cities of India
SambitKumarBeura.html
HarithaChellapilla.html
MahabirPanda.html
PrasantaKumarBhuyan.html
http___dx.doi.org_10.1016_j.jth.2020.100971 http://dx.doi.org/10.1016/j.jth.2020.100971
https___www.sciencedirect.com_science_article_pii_S2214140520301754 https://www.sciencedirect.com/science/article/pii/S2214140520301754
conf/icic/BevilacquaNMI16 Adaptive Bi-objective Genetic Programming for Data-Driven System Modeling
VitoantonioBevilacqua.html
NicolaNuzzolese.html
ErnestoMininno.html
GiovanniIacca.html
https___link.springer.com_chapter_10.1007_2F978-3-319-42297-8_24 https://link.springer.com/chapter/10.1007%2F978-3-319-42297-8_24
http___dx.doi.org_10.1007_978-3-319-42297-8_24 http://dx.doi.org/10.1007/978-3-319-42297-8_24
beyer_et_al:DSP:2006:498 04081 Abstracts Collection -- Theory of Evolutionary Algorithms
Hans-GeorgBeyer.html
ThomasJansen.html
ColinReeves.html
MichaelDVose.html
http___drops.dagstuhl.de_opus_volltexte_2006_498 http://drops.dagstuhl.de/opus/volltexte/2006/498
GECCO2005 GECCO 2005: Proceedings of the 2005 conference on Genetic and evolutionary computation
Hans-GeorgBeyer.html
Una-MayO'Reilly.html
DirkVArnold.html
WolfgangBanzhaf.html
ChristianBlum.html
EricBonabeau.html
ErickCantu-Paz.html
DipankarDasgupta.html
KalyanmoyDeb.html
JamesAFoster.html
EdwinDdeJong.html
HodLipson.html
XavierLlora.html
SpirosMancoridis.html
MartinPelikan.html
GuntherRRaidl.html
TerenceSoule.html
AndrewMTyrrell.html
Jean-PaulWatson.html
EckartZitzler.html
http___portal.acm.org_citation.cfm_id_1068009_jmp_cit_coll_GUIDE_dl_GUIDE_CFID_48779769_CFTOKEN_55479664 http://portal.acm.org/citation.cfm?id=1068009&jmp=cit&coll=GUIDE&dl=GUIDE&CFID=48779769&CFTOKEN=55479664
Beyer:2006:GPEM Special Issue: Best of GECCO 2005
Hans-GeorgBeyer.html
http___dx.doi.org_10.1007_s10710-006-9002-x http://dx.doi.org/10.1007/s10710-006-9002-x
bezdek:1999:EADC Evolution and Analysis of DNA Classifiers
TrevorBezdek.html
bhanu:2002:GECCO:workshop Coevolutionary Construction of Features for Transformation of Representation in Machine Learning
BirBhanu.html
KrzysztofKrawiec.html
https___www.researchgate.net_publication_2496301 https://www.researchgate.net/publication/2496301
bhanu:2002:gecco Learning Composite Operators For Object Detection
BirBhanu.html
YingqiangLin.html
http___gpbib.cs.ucl.ac.uk_gecco2002_RWA165_v2.pdf http://gpbib.cs.ucl.ac.uk/gecco2002/RWA165_v2.pdf
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_gecco2002_gecco-2002-20.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/gecco2002/gecco-2002-20.pdf
bhanu:2004:ASC Object detection in multi-modal images using genetic programming
BirBhanu.html
YingqiangLin.html
http___dx.doi.org_10.1016_j.asoc.2004.01.004 http://dx.doi.org/10.1016/j.asoc.2004.01.004
bhanu:2003:gecco Coevolution and Linear Genetic Programming for Visual Learning
KrzysztofKrawiec.html
BirBhanu.html
http___dx.doi.org_10.1007_3-540-45105-6_39 http://dx.doi.org/10.1007/3-540-45105-6_39
bhanu:fsu:gecco2004 Feature Synthesis Using Genetic Programming for Face Expression Recognition
BirBhanu.html
JiangangYu.html
XuejunTan.html
YingqiangLin.html
http___dx.doi.org_10.1007_b98645 http://dx.doi.org/10.1007/b98645
Bhanu:2004:PRL Synthesizing feature agents using evolutionary computation
BirBhanu.html
YingqiangLin.html
http___www.sciencedirect.com_science_article_B6V15-4CRY8J6-2_2_d245bfcfeee2d509066321e19d84a0fd http://www.sciencedirect.com/science/article/B6V15-4CRY8J6-2/2/d245bfcfeee2d509066321e19d84a0fd
http___dx.doi.org_10.1016_j.patrec.2004.06.005 http://dx.doi.org/10.1016/j.patrec.2004.06.005
Bhanu:book Evolutionary Synthesis of Pattern Recognition Systems
BirBhanu.html
YingqiangLin.html
KrzysztofKrawiec.html
http___www.springer.com_west_home_computer_imaging_SGWID_4-149-22-39144807-detailsPage_ppmmedia_aboutThisBook http://www.springer.com/west/home/computer/imaging?SGWID=4-149-22-39144807-detailsPage=ppmmedia|aboutThisBook
Bharadwaj:2007:waset Evolutionary Approach for Automated Discovery of Censored Production Rules
KKBharadwaj.html
BasheerMohamadAhmadAl-Maqaleh.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.308.7101 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.308.7101
http___waset.org_publications_14169 http://waset.org/publications/14169
http___waset.org_Publications_p_10 http://waset.org/Publications?p=10
Bharambe:2013:ijetae A Detection of Duplicate Records from Multiple Web Databases using pattern matching in UDD
DewendraOnkarBharambe.html
SusheelJain.html
AnuragJain.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.413.7928 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.413.7928
http___www.ijetae.com_files_Volume3Issue5_IJETAE_0513_68.pdf http://www.ijetae.com/files/Volume3Issue5/IJETAE_0513_68.pdf
http___www.ijetae.com_Volume3Issue5.html http://www.ijetae.com/Volume3Issue5.html
Bhardwaj:2011:ACIJ Controlling The Problem Of Bloating Using Stepwise Crossover And Double Mutation Technique
ArpitBhardwaj.html
AditiSakalle.html
HarshitaChouhan.html
HarshitBhardwaj.html
http___airccse.org_journal_acij_papers_1111acij06.pdf http://airccse.org/journal/acij/papers/1111acij06.pdf
http___dx.doi.org_10.5121_acij.2011.2606 http://dx.doi.org/10.5121/acij.2011.2606
Bhardwaj:2013:GECCOcomp Performance improvement in genetic programming using modified crossover and node mutation
ArpitBhardwaj.html
ArunaTiwari.html
http___dx.doi.org_10.1145_2464576.2480787 http://dx.doi.org/10.1145/2464576.2480787
Bhardwaj:2013:ICIC A Novel Genetic Programming Based Classifier Design Using a New Constructive Crossover Operator with a Local Search Technique
ArpitBhardwaj.html
ArunaTiwari.html
http___dx.doi.org_10.1007_978-3-642-39479-9_11 http://dx.doi.org/10.1007/978-3-642-39479-9_11
Bhardwaj:2014:GECCOcomp Classification of EEG signals using a novel genetic programming approach
ArpitBhardwaj.html
ArunaTiwari.html
MVishaalVarma.html
MRameshKrishna.html
http___doi.acm.org_10.1145_2598394.2609851 http://doi.acm.org/10.1145/2598394.2609851
http___dx.doi.org_10.1145_2598394.2609851 http://dx.doi.org/10.1145/2598394.2609851
Bhardwaj:2014:BMEI A Genetically Optimized Neural Network for Classification of Breast Cancer Disease
ArpitBhardwaj.html
ArunaTiwari.html
DharmilChandarana.html
DarshilBabel.html
http___dx.doi.org_10.1109_BMEI.2014.7002862 http://dx.doi.org/10.1109/BMEI.2014.7002862
Bhardwaj:2015:ESA Breast cancer diagnosis using Genetically Optimized Neural Network model
ArpitBhardwaj.html
ArunaTiwari.html
http___dx.doi.org_10.1016_j.eswa.2015.01.065 http://dx.doi.org/10.1016/j.eswa.2015.01.065
http___www.sciencedirect.com_science_article_pii_S0957417415000883 http://www.sciencedirect.com/science/article/pii/S0957417415000883
Bhardwaj:2015:GECCO An Analysis of Integration of Hill Climbing in Crossover and Mutation operation for EEG Signal Classification
ArpitBhardwaj.html
ArunaTiwari.html
MVishaalVarma.html
MRameshKrishna.html
http___doi.acm.org_10.1145_2739480.2754710 http://doi.acm.org/10.1145/2739480.2754710
http___dx.doi.org_10.1145_2739480.2754710 http://dx.doi.org/10.1145/2739480.2754710
Bhardwaj:2016:CMPB A novel genetic programming approach for epileptic seizure detection
ArpitBhardwaj.html
ArunaTiwari.html
MRameshKrishna.html
MVishaalVarma.html
http___dx.doi.org_10.1016_j.cmpb.2015.10.001 http://dx.doi.org/10.1016/j.cmpb.2015.10.001
http___www.sciencedirect.com_science_article_pii_S016926071500262X http://www.sciencedirect.com/science/article/pii/S016926071500262X
Bhardwaj:2015:IC4 A novel genetic programming approach to control bloat using crossover and mutation with intelligence technique
HarshitBhardwaj.html
PankajDashore.html
http___dx.doi.org_10.1109_IC4.2015.7375619 http://dx.doi.org/10.1109/IC4.2015.7375619
Bhardwaj:2018:ieeeCompIntl Breast Cancer Diagnosis using Simultaneous Feature Selection and Classification: A Genetic Programming Approach
HarshitBhardwaj.html
AditiSakalle.html
ArpitBhardwaj.html
ArunaTiwari.html
MadhushiVerma.html
http___dx.doi.org_10.1109_SSCI.2018.8628935 http://dx.doi.org/10.1109/SSCI.2018.8628935
Bhardwaj:2019:ES Classification of electroencephalogram signal for the detection of epilepsy using Innovative Genetic Programming
HarshitBhardwaj.html
AditiSakalle.html
ArpitBhardwaj.html
ArunaTiwari.html
http___dx.doi.org_10.1111_exsy.12338 http://dx.doi.org/10.1111/exsy.12338
bhardwaj:atgp1 Advances and Trends in Genetic Programming: Volume 1: Classification Techniques and Life Cycles Paperback
ArpitBhardwaj.html
ArunaTiwari.html
JasjitSSuri.html
https___www.amazon.co.uk_s_k_advances_and_trends_in_genetic_programming__3A_volume_1_3A_classification_techniques_and_life_cycles https://www.amazon.co.uk/s?k=advances+and+trends+in+genetic+programming+%3A+volume+1%3A+classification+techniques+and+life+cycles
Bhargava:2023:CSET Network Optimization Using Genetic Programming
KrishnaBhargavaA.html
DeepakKumarSinha.html
GarimaSinha.html
http___dx.doi.org_10.1109_CSET58993.2023.10346779 http://dx.doi.org/10.1109/CSET58993.2023.10346779
Bhargavi:2010:IJCSIT Soil Classification Using GATREE
PBhargavi.html
SJyothi.html
http___airccse.org_journal_jcsit_1010ijcsit14.pdf http://airccse.org/journal/jcsit/1010ijcsit14.pdf
http___dx.doi.org_10.5121_ijcsit.2010.2514 http://dx.doi.org/10.5121/ijcsit.2010.2514
Bhatt:2015:ieeeCGVIS Genetic programming evolved spatial descriptor for Indian monuments classification
MSBhatt.html
TPPatalia.html
http___dx.doi.org_10.1109_CGVIS.2015.7449908 http://dx.doi.org/10.1109/CGVIS.2015.7449908
Bhattacharya:2001:GPR Genetic Programming: A Review of Some Concerns
MaumitaBhattacharya.html
BaikunthNath.html
http___dx.doi.org_10.1007_3-540-45718-6_109 http://dx.doi.org/10.1007/3-540-45718-6_109
bhattacharya:2001:HIS A Linear Genetic Programming Approach for Modeling Electricity Demand Prediction in Victoria
MaumitaBhattacharya.html
AjithAbraham.html
BaikunthNath.html
http___www.springer.de_cgi-bin_search_book.pl_isbn_3-7908-1480-6 http://www.springer.de/cgi-bin/search_book.pl?isbn=3-7908-1480-6
http___citeseer.ist.psu.edu_510872.html http://citeseer.ist.psu.edu/510872.html
bhattacharyya:1998:rsGPlhf Representational Semantics for Genetic Programming Based Learning in High-Frequency Financial Data
SiddharthaBhattacharyya.html
OlivierVPictet.html
GillesZumbach.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_gp1998_bhattacharyya_1998_rsGPlhf.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/gp1998/bhattacharyya_1998_rsGPlhf.pdf
bhattacharyya:1998:DS Inductive, Evolutionary, and Neural Computing Techniques for Discrimination: A Comparative Study
SiddharthaBhattacharyya.html
ParagCPendharkar.html
http___tigger.uic.edu__sidb_papers_DiscCompPaper_DecSci.pdf http://tigger.uic.edu/~sidb/papers/DiscCompPaper_DecSci.pdf
347186 Evolutionary algorithms in data mining: multi-objective performance modeling for direct marketing
SiddharthaBhattacharyya.html
http___tigger.uic.edu__sidb_papers_MultiObj_KDD2000.pdf http://tigger.uic.edu/~sidb/papers/MultiObj_KDD2000.pdf
http___portal.acm.org_ft_gateway.cfm_id_347186_type_pdf_coll_GUIDE_dl_GUIDE_CFID_43813975_CFTOKEN_68162530 http://portal.acm.org/ft_gateway.cfm?id=347186&type=pdf&coll=GUIDE&dl=GUIDE&CFID=43813975&CFTOKEN=68162530
http___dx.doi.org_10.1145_347090.347186 http://dx.doi.org/10.1145/347090.347186
bhattacharyya:2002:ECEF Evolutionary Induction of Trading Models
SiddharthaBhattacharyya.html
KumarMehta.html
http___tigger.uic.edu__sidb_papers_EvolInductionOfTradingModels.pdf http://tigger.uic.edu/~sidb/papers/EvolInductionOfTradingModels.pdf
http___dx.doi.org_10.1007_978-3-7908-1784-3_17 http://dx.doi.org/10.1007/978-3-7908-1784-3_17
bhattacharyya:2002:trEC Knowledge-intensive genetic discovery in foreign exchange markets
SiddharthaBhattacharyya.html
OlivierVPictet.html
GillesZumbach.html
http___tigger.uic.edu__sidb_papers_KnowIntenGPForex__IEEE_EC.pdf http://tigger.uic.edu/~sidb/papers/KnowIntenGPForex__IEEE_EC.pdf
http___dx.doi.org_10.1109_4235.996016 http://dx.doi.org/10.1109/4235.996016
bhavita:2019:WREE Regime-Wise Genetic Programming Model for Improved Streamflow Forecasting
KBhavita.html
DSwathi.html
JManideep.html
DSreeSandeep.html
MaheswaranRathinasamy.html
http___link.springer.com_chapter_10.1007_978-981-13-2044-6_17 http://link.springer.com/chapter/10.1007/978-981-13-2044-6_17
http___dx.doi.org_10.1007_978-981-13-2044-6_17 http://dx.doi.org/10.1007/978-981-13-2044-6_17
Bhowan:2009:cec Differentiating Between Individual Class Performance in Genetic Programming Fitness for Classification with Unbalanced Data
UrveshBhowan.html
MarkJohnston.html
MengjieZhang.html
http___dx.doi.org_10.1109_CEC.2009.4983294 http://dx.doi.org/10.1109/CEC.2009.4983294
Bhowan:2009:IVCNZ Genetic Programming for Image Classification with Unbalanced Data
UrveshBhowan.html
MengjieZhang.html
MarkJohnston.html
http___dx.doi.org_10.1109_IVCNZ.2009.5378388 http://dx.doi.org/10.1109/IVCNZ.2009.5378388
DBLP:conf/ausai/BhowanZJ09 Multi-Objective Genetic Programming for Classification with Unbalanced Data
UrveshBhowan.html
MengjieZhang.html
MarkJohnston.html
http___dx.doi.org_10.1007_978-3-642-10439-8_38 http://dx.doi.org/10.1007/978-3-642-10439-8_38
Bhowan:2010:EuroGP Genetic Programming for Classification with Unbalanced Data
UrveshBhowan.html
MengjieZhang.html
MarkJohnston.html
http___dx.doi.org_10.1007_978-3-642-12148-7_1 http://dx.doi.org/10.1007/978-3-642-12148-7_1
Bhowan:2010:gecco AUC analysis of the pareto-front using multi-objective GP for classification with unbalanced data
UrveshBhowan.html
MengjieZhang.html
MarkJohnston.html
http___dx.doi.org_10.1145_1830483.1830639 http://dx.doi.org/10.1145/1830483.1830639
conf/ausai/BhowanZJ10 A Comparison of Classification Strategies in Genetic Programming with Unbalanced Data
UrveshBhowan.html
MengjieZhang.html
MarkJohnston.html
http___dx.doi.org_10.1007_978-3-642-17432-2_25 http://dx.doi.org/10.1007/978-3-642-17432-2_25
Bhowan:2011:GECCO Evolving ensembles in multi-objective genetic programming for classification with unbalanced data
UrveshBhowan.html
MarkJohnston.html
MengjieZhang.html
http___dx.doi.org_10.1145_2001576.2001756 http://dx.doi.org/10.1145/2001576.2001756
conf/ausai/BhowanJZ11 Ensemble Learning and Pruning in Multi-Objective Genetic Programming for Classification with Unbalanced Data
UrveshBhowan.html
MarkJohnston.html
MengjieZhang.html
http___dx.doi.org_10.1007_978-3-642-25832-9_20 http://dx.doi.org/10.1007/978-3-642-25832-9_20
Bhowan:2012:ieeeTEC Evolving Diverse Ensembles using Genetic Programming for Classification with Unbalanced Data
UrveshBhowan.html
MarkJohnston.html
MengjieZhang.html
XinYao.html
http___ieeexplore.ieee.org_xpl_articleDetails.jsp_tp__arnumber_6198882 http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6198882
http___dx.doi.org_10.1109_TEVC.2012.2199119 http://dx.doi.org/10.1109/TEVC.2012.2199119
Bhowan:2012:SMC Developing New Fitness Functions in Genetic Programming for Classification With Unbalanced Data
UrveshBhowan.html
MarkJohnston.html
MengjieZhang.html
http___dx.doi.org_10.1109_TSMCB.2011.2167144 http://dx.doi.org/10.1109/TSMCB.2011.2167144
Bhowan:2013:GECCOcomp Comparing ensemble learning approaches in genetic programming for classification with unbalanced data
UrveshBhowan.html
MarkJohnston.html
MengjieZhang.html
http___dx.doi.org_10.1145_2464576.2464643 http://dx.doi.org/10.1145/2464576.2464643
Bhowan:2014:ieeeTEC Reusing Genetic Programming for Ensemble Selection in Classification of Unbalanced Data
UrveshBhowan.html
MarkJohnston.html
MengjieZhang.html
XinYao.html
http___dx.doi.org_10.1109_TEVC.2013.2293393 http://dx.doi.org/10.1109/TEVC.2013.2293393
Bhowan:2015:EuroGP Genetic Programming for Feature Selection and Question-Answer Ranking in IBM Watson
UrveshBhowan.html
DJMcCloskey.html
http___dx.doi.org_10.1007_978-3-319-16501-1_13 http://dx.doi.org/10.1007/978-3-319-16501-1_13
Bi:2017:IVCNZ An automatic region detection and processing approach in genetic programming for binary image classification
YingBi.html
MengjieZhang.html
BingXue.html
http___dx.doi.org_10.1109_IVCNZ.2017.8402469 http://dx.doi.org/10.1109/IVCNZ.2017.8402469
Bi:2018:evoApplications An Automatic Feature Extraction Approach to Image Classification Using Genetic Programming
YingBi.html
BingXue.html
MengjieZhang.html
http___dx.doi.org_10.1007_978-3-319-77538-8_29 http://dx.doi.org/10.1007/978-3-319-77538-8_29
Bi:2018:CEC Genetic Programming for Automatic Global and Local Feature Extraction to Image Classification
YingBi.html
MengjieZhang.html
BingXue.html
https___openaccess.wgtn.ac.nz_articles_conference_contribution_Genetic_Programming_for_Automatic_Global_and_Local_Feature_Extraction_to_Image_Classification_13884998 https://openaccess.wgtn.ac.nz/articles/conference_contribution/Genetic_Programming_for_Automatic_Global_and_Local_Feature_Extraction_to_Image_Classification/13884998
http___dx.doi.org_10.1109_CEC.2018.8477911 http://dx.doi.org/10.1109/CEC.2018.8477911
bi:2018:AJCAI A Gaussian Filter-Based Feature Learning Approach Using Genetic Programming to Image Classification
YingBi.html
BingXue.html
MengjieZhang.html
http___link.springer.com_chapter_10.1007_978-3-030-03991-2_25 http://link.springer.com/chapter/10.1007/978-3-030-03991-2_25
http___dx.doi.org_10.1007_978-3-030-03991-2_25 http://dx.doi.org/10.1007/978-3-030-03991-2_25
Bi:2018:JZU A Survey on Genetic Programming to Image Analysis
YingBi.html
BingXue.html
MengjieZhang.html
https___yingbi92.github.io_homepage_2020__E9_81_97_E4_BC_A0_E8_A7_84_E5_88_92_E5_9C_A8_E5_9B_BE_E5_83_8F_E5_88_86_E6_9E_90_E4_B8_8A_E7_9A_84_E5_BA_94_E7_94_A8_E7_BB_BC_E8_BF_B0_E2_80_94v4.pdf https://yingbi92.github.io/homepage/2020/%E9%81%97%E4%BC%A0%E8%A7%84%E5%88%92%E5%9C%A8%E5%9B%BE%E5%83%8F%E5%88%86%E6%9E%90%E4%B8%8A%E7%9A%84%E5%BA%94%E7%94%A8%E7%BB%BC%E8%BF%B0%E2%80%94v4.pdf
http___gxb.zzu.edu.cn_oa_darticle.aspx_type_view_id_201802014 http://gxb.zzu.edu.cn/oa/darticle.aspx?type=view&id=201802014
http___dx.doi.org_10.13705_j.issn.1671-6833.2013.06.01 http://dx.doi.org/10.13705/j.issn.1671-6833.2013.06.01
Bi:2019:CEC An Evolutionary Deep Learning Approach Using Genetic Programming with Convolution Operators for Image Classification
YingBi.html
BingXue.html
MengjieZhang.html
http___dx.doi.org_10.1109_CEC.2019.8790151 http://dx.doi.org/10.1109/CEC.2019.8790151
Bi:2019:GECCO An automated ensemble learning framework using genetic programming for image classification
YingBi.html
BingXue.html
MengjieZhang.html
http___dx.doi.org_10.1145_3321707.3321750 http://dx.doi.org/10.1145/3321707.3321750
Bi:2020:CIM An Effective Feature Learning Approach Using Genetic Programming With Image Descriptors for Image Classification [Research Frontier]
YingBi.html
BingXue.html
MengjieZhang.html
http___dx.doi.org_10.1109_MCI.2020.2976186 http://dx.doi.org/10.1109/MCI.2020.2976186
Bi:2020:GECCOcomp Automatically Extracting Features for Face Classification Using Multi-Objective Genetic Programming
YingBi.html
BingXue.html
MengjieZhang.html
https___doi.org_10.1145_3377929.3389989 https://doi.org/10.1145/3377929.3389989
http___dx.doi.org_10.1145_3377929.3389989 http://dx.doi.org/10.1145/3377929.3389989
Bi:2020:CEC Genetic Programming-Based Feature Learning for Facial Expression Classification
YingBi.html
BingXue.html
MengjieZhang.html
http___dx.doi.org_10.1109_CEC48606.2020.9185491 http://dx.doi.org/10.1109/CEC48606.2020.9185491
Bi:2020:PPSN Evolving Deep Forest with Automatic Feature Extraction for Image Classification Using Genetic Programming
YingBi.html
BingXue.html
MengjieZhang.html
https___openaccess.wgtn.ac.nz_articles_chapter_Evolving_deep_forest_with_automatic_feature_extraction_for_image_classification_using_genetic_programming_13158329 https://openaccess.wgtn.ac.nz/articles/chapter/Evolving_deep_forest_with_automatic_feature_extraction_for_image_classification_using_genetic_programming/13158329
http___dx.doi.org_10.1007_978-3-030-58112-1_1 http://dx.doi.org/10.1007/978-3-030-58112-1_1
YingBi_thesis Genetic Programming for Feature Learning in Image Classification
YingBi.html
https___openaccess.wgtn.ac.nz_ndownloader_files_34714144 https://openaccess.wgtn.ac.nz/ndownloader/files/34714144
https___openaccess.wgtn.ac.nz_articles_thesis_Genetic_Programming_for_Feature_Learning_in_Image_Classification_19529515 https://openaccess.wgtn.ac.nz/articles/thesis/Genetic_Programming_for_Feature_Learning_in_Image_Classification/19529515
http___dx.doi.org_10.26686_wgtn.19529515 http://dx.doi.org/10.26686/wgtn.19529515
Bi:2020:TEVC Genetic Programming with Image-Related Operators and A Flexible Program Structure for Feature Learning in Image Classification
YingBi.html
BingXue.html
MengjieZhang.html
http___dx.doi.org_10.1109_TEVC.2020.3002229 http://dx.doi.org/10.1109/TEVC.2020.3002229
Bi:2020:CYB Genetic Programming With a New Representation to Automatically Learn Features and Evolve Ensembles for Image Classification
YingBi.html
BingXue.html
MengjieZhang.html
http___dx.doi.org_10.1109_TCYB.2020.2964566 http://dx.doi.org/10.1109/TCYB.2020.2964566
bi2021gpimage Genetic Programming for Image Classification
YingBi.html
BingXue.html
MengjieZhang.html
https___link.springer.com_book_10.1007_978-3-030-65927-1 https://link.springer.com/book/10.1007/978-3-030-65927-1
https___www.amazon.com_Genetic-Programming-Image-Classification-Optimization-dp-3030659267_dp_3030659267 https://www.amazon.com/Genetic-Programming-Image-Classification-Optimization-dp-3030659267/dp/3030659267
https___github.com_YingBi92_BookCode https://github.com/YingBi92/BookCode
http___dx.doi.org_10.1007_978-3-030-65927-1 http://dx.doi.org/10.1007/978-3-030-65927-1
Bi:2021:ASC Multi-objective genetic programming for feature learning in face recognition
YingBi.html
BingXue.html
MengjieZhang.html
https___yingbi92.github.io_homepage_2021_MOGP.pdf https://yingbi92.github.io/homepage/2021/MOGP.pdf
https___www.sciencedirect.com_science_article_pii_S1568494621000752 https://www.sciencedirect.com/science/article/pii/S1568494621000752
http___dx.doi.org_10.1016_j.asoc.2021.107152 http://dx.doi.org/10.1016/j.asoc.2021.107152
Bi:TEVC2 A Divide-and-Conquer Genetic Programming Algorithm with Ensembles for Image Classification
YingBi.html
BingXue.html
MengjieZhang.html
http___dx.doi.org_10.1109_TEVC.2021.3082112 http://dx.doi.org/10.1109/TEVC.2021.3082112
Bi:2022:InformationSciences Using a Small Number of Training Instances in Genetic Programming for Face Image Classification
YingBi.html
BingXue.html
MengjieZhang.html
https___www.sciencedirect.com_science_article_abs_pii_S0020025522000871 https://www.sciencedirect.com/science/article/abs/pii/S0020025522000871
http___dx.doi.org_10.1016_j.ins.2022.01.055 http://dx.doi.org/10.1016/j.ins.2022.01.055
Learning_and_Sharing_A_Multitask_Genetic_Programming_Approach_to_Image_Feature_Learning Learning and Sharing: A Multitask Genetic Programming Approach to Image Feature Learning
YingBi.html
BingXue.html
MengjieZhang.html
http___dx.doi.org_10.1109_TEVC.2021.3097043 http://dx.doi.org/10.1109/TEVC.2021.3097043
Dual-Tree_Genetic_Programming_for_Few-Shot_Image_Classification Dual-Tree Genetic Programming for Few-Shot Image Classification
YingBi.html
BingXue.html
MengjieZhang.html
http___dx.doi.org_10.1109_TEVC.2021.3100576 http://dx.doi.org/10.1109/TEVC.2021.3100576
Ying_Bi:cybernetics1 Instance Selection-Based Surrogate-Assisted Genetic Programming for Feature Learning in Image Classification
YingBi.html
BingXue.html
MengjieZhang.html
http___dx.doi.org_10.1109_TCYB.2021.3105696 http://dx.doi.org/10.1109/TCYB.2021.3105696
Ying_Bi:Cybernetics2 Genetic Programming-Based Discriminative Feature Learning for Low-Quality Image Classification
YingBi.html
BingXue.html
MengjieZhang.html
http___dx.doi.org_10.1109_TCYB.2021.3049778 http://dx.doi.org/10.1109/TCYB.2021.3049778
Ying_Bi:Cybernetics3 Multitask Feature Learning as Multiobjective Optimization: A New Genetic Programming Approach to Image Classification
YingBi.html
BingXue.html
MengjieZhang.html
http___dx.doi.org_10.1109_TCYB.2022.3174519 http://dx.doi.org/10.1109/TCYB.2022.3174519
Bi:JRSNZ A new artificial intelligent approach to buoy detection for mussel farming
YingBi.html
BingXue.html
DanaBriscoe.html
RossVennell.html
MengjieZhang.html
http___dx.doi.org_10.1080_03036758.2022.2090966 http://dx.doi.org/10.1080/03036758.2022.2090966
Ying_Bi:ieeeTEC Genetic Programming-Based Evolutionary Deep Learning for Data-Efficient Image Classification
YingBi.html
BingXue.html
MengjieZhang.html
https___ieeexplore.ieee.org_abstract_document_9919314_ https://ieeexplore.ieee.org/abstract/document/9919314/
http___dx.doi.org_10.1109_TEVC.2022.3214503 http://dx.doi.org/10.1109/TEVC.2022.3214503
Ying_Bi:ieeeTEC2 A survey on evolutionary computation for computer vision and image analysis: Past, present, and future trends
YingBi.html
BingXue.html
PabloMesejoSantiago.html
StefanoCagnoni.html
MengjieZhang.html
https___arxiv.org_abs_2209.06399v1 https://arxiv.org/abs/2209.06399v1
https___ieeexplore.ieee.org_abstract_document_9943992_ https://ieeexplore.ieee.org/abstract/document/9943992/
http___dx.doi.org_10.1109_TEVC.2022.3220747 http://dx.doi.org/10.1109/TEVC.2022.3220747
Bi:2023:CEC Evolutionary Deep-Learning for Image Classification: A Genetic Programming Approach
YingBi.html
BingXue.html
MengjieZhang.html
https___2023.ieee-cec.org_program-html_ https://2023.ieee-cec.org/program-html/
BiYing:ieeeTEC A Genetic Programming Approach with Building Block Evolving and Reusing to Image Classification
YingBi.html
JingLiang.html
BingXue.html
MengjieZhang.html
http___dx.doi.org_10.1109_TEVC.2023.3284712 http://dx.doi.org/10.1109/TEVC.2023.3284712
Bian:2016:ATS Runtime NBTI Mitigation for Processor Lifespan Extension via Selective Node Control
SongBian.html
MichihiroShintani.html
ZhengWang.html
MasayukiHiromoto.html
AnupamChattopadhyay.html
TakashiSato.html
http___dx.doi.org_10.1109_ATS.2016.31 http://dx.doi.org/10.1109/ATS.2016.31
bian:2021:apr_icse Refining Fitness Functions for Search-Based Program Repair
ZhiqiangBian.html
JustynaPetke.html
AymericBlot.html
https___github.com_SOLAR-group_apr2021artefact https://github.com/SOLAR-group/apr2021artefact
http___www.cs.ucl.ac.uk_staff_a.blot_files_bian_apr-icse_2021.pdf http://www.cs.ucl.ac.uk/staff/a.blot/files/bian_apr-icse_2021.pdf
https___www.youtube.com_watch_v_2CbHQMhkMTU https://www.youtube.com/watch?v=2CbHQMhkMTU
http___dx.doi.org_10.1109_APR52552.2021.00008 http://dx.doi.org/10.1109/APR52552.2021.00008
oai:arXiv.org:1505.02921 How Far Can You Get By Combining Change Detection Algorithms?
SimoneBianco.html
GianluigiCiocca.html
RaimondoSchettini.html
http___arxiv.org_abs_1505.02921 http://arxiv.org/abs/1505.02921
Bianco:ieeeTEC Combination of Video Change Detection Algorithms by Genetic Programming
SimoneBianco.html
GianluigiCiocca.html
RaimondoSchettini.html
http___ieeexplore.ieee.org_stamp_stamp.jsp_tp__arnumber_7898824 http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7898824
http___dx.doi.org_10.1109_TEVC.2017.2694160 http://dx.doi.org/10.1109/TEVC.2017.2694160
BIANCO:2020:IF Neural architecture search for image saliency fusion
SimoneBianco.html
MarcoBuzzelli.html
GianluigiCiocca.html
RaimondoSchettini.html
http___dx.doi.org_10.1016_j.inffus.2019.12.007 http://dx.doi.org/10.1016/j.inffus.2019.12.007
http___www.sciencedirect.com_science_article_pii_S1566253519302374 http://www.sciencedirect.com/science/article/pii/S1566253519302374
DBLP:conf/ijcci/BiauWCL21 Improving Image Filters with Cartesian Genetic Programming
JulienBiau.html
DennisWilson.html
SylvainCussat-Blanc.html
HerveLuga.html
https___doi.org_10.5220_0010640000003063 https://doi.org/10.5220/0010640000003063
http___dx.doi.org_10.5220_0010640000003063 http://dx.doi.org/10.5220/0010640000003063
https___dblp.org_rec_conf_ijcci_BiauWCL21.bib https://dblp.org/rec/conf/ijcci/BiauWCL21.bib
Biau:2024:evoapplications Improving Image Filter Efficiency: A Multi-objective Genetic Algorithm Approach to Optimize Computing Efficiency
JulienBiau.html
SylvainCussat-Blanc.html
HerveLuga.html
https___rdcu.be_dDZHh https://rdcu.be/dDZHh
http___dx.doi.org_10.1007_978-3-031-56852-7_2 http://dx.doi.org/10.1007/978-3-031-56852-7_2
Bickel:1989:tsrGA Tree Structured Rules in Genetic Algorithms
AuthurSBickel.html
RivaWenigBickel.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_icga1987_Bickel_1989_tsrGA.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/icga1987/Bickel_1989_tsrGA.pdf
http___dl.acm.org_citation.cfm_id_42523_CFID_53044018_CFTOKEN_44075976 http://dl.acm.org/citation.cfm?id=42523&CFID=53044018&CFTOKEN=44075976
Bidaud:2002:romansy Evolutionary optimization of mechanical and control design. Application to active endoscopes
PhilippeBidaud.html
FredericChapelle.html
GeorgesDumont.html
http___www.springer.com_physics_classical_continuum_physics_book_978-3-211-83691-0 http://www.springer.com/physics/classical+continuum+physics/book/978-3-211-83691-0
Bidlo:2013:CEC Evolution of Cellular Automata with Conditionally Matching Rules
MichalBidlo.html
ZdenekVasicek.html
http___dx.doi.org_10.1109_CEC.2013.6557699 http://dx.doi.org/10.1109/CEC.2013.6557699
Bidlo:2021:SSCI Evolution of Approximate Functions for Image Thresholding
MichalBidlo.html
http___dx.doi.org_10.1109_SSCI50451.2021.9659876 http://dx.doi.org/10.1109/SSCI50451.2021.9659876
MichelJanMarinusBieleveldCorr16 Improving species distribution model quality with a parallel linear genetic programming-fuzzy algorithm
MichelJanMarinusBieleveld.html
http___www.teses.usp.br_teses_disponiveis_3_3141_tde-26012017-113329_ http://www.teses.usp.br/teses/disponiveis/3/3141/tde-26012017-113329/
http___www.teses.usp.br_teses_disponiveis_3_3141_tde-26012017-113329_en.php http://www.teses.usp.br/teses/disponiveis/3/3141/tde-26012017-113329/en.php
http___www.teses.usp.br_teses_disponiveis_3_3141_tde-26012017-113329_publico_MichelJanMarinusBieleveldCorr16.pdf http://www.teses.usp.br/teses/disponiveis/3/3141/tde-26012017-113329/publico/MichelJanMarinusBieleveldCorr16.pdf
DBLP:conf/icml/BielikRV16 PHOG: Probabilistic Model for Code
PavolBielik.html
VeselinRaychev.html
MartinTVechev.html
https___dblp.org_rec_conf_icml_BielikRV16.bib https://dblp.org/rec/conf/icml/BielikRV16.bib
http___proceedings.mlr.press_v48_bielik16.html http://proceedings.mlr.press/v48/bielik16.html
http___proceedings.mlr.press_v48_bielik16.pdf http://proceedings.mlr.press/v48/bielik16.pdf
Biesheuvel:2004:JCE Genetic programming outperformed multivariable logistic regression in diagnosing pulmonary embolism
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DiederickEGrobbee.html
KarelGMMoons.html
http___igitur-archive.library.uu.nl_med_2006-0906-200235_grobbee_04_geneticprogrammingoutperformed.pdf http://igitur-archive.library.uu.nl/med/2006-0906-200235/grobbee_04_geneticprogrammingoutperformed.pdf
http___www.sciencedirect.com_science_article_B6T84-4CTB5RT-3_2_325f5e3699d990701839201564eff8d3 http://www.sciencedirect.com/science/article/B6T84-4CTB5RT-3/2/325f5e3699d990701839201564eff8d3
http___dx.doi.org_10.1016_j.jclinepi.2003.10.011 http://dx.doi.org/10.1016/j.jclinepi.2003.10.011
biesheuvel:thesis Diagnostic Research : improvements in design and analysis
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1274004 An abstraction-based genetic programming system
FranckJLBinard.html
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http___gpbib.cs.ucl.ac.uk_gecco2007_docs_p2415.pdf http://gpbib.cs.ucl.ac.uk/gecco2007/docs/p2415.pdf
http___dx.doi.org_10.1145_1274000.1274004 http://dx.doi.org/10.1145/1274000.1274004
Binard:2008:gecco Genetic Programming with Polymorphic Types and Higher-Order Functions
FranckJLBinard.html
AmyFelty.html
http___gpbib.cs.ucl.ac.uk_gecco2008_docs_p1187.pdf http://gpbib.cs.ucl.ac.uk/gecco2008/docs/p1187.pdf
http___dx.doi.org_10.1145_1389095.1389330 http://dx.doi.org/10.1145/1389095.1389330
Binard:thesis Abstraction-Based Genetic Programming
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http___hdl.handle.net_10393_29805 http://hdl.handle.net/10393/29805
http___dx.doi.org_10.20381_ruor-13147 http://dx.doi.org/10.20381/ruor-13147
Binard:book Abstraction-Based Genetic Programming: An Application of the polymorphically-typed lambda calculus to genetic programming
FranckJLBinard.html
https___www.amazon.co.uk_Abstraction-Based-Genetic-Programming-Application-polymorphically-typed_dp_3639191730 https://www.amazon.co.uk/Abstraction-Based-Genetic-Programming-Application-polymorphically-typed/dp/3639191730
bingol:2018:NCaA Application of gene expression programming in hot metal forming for intelligent manufacturing
SedatBingol.html
HidirYankiKilicgedik.html
http___link.springer.com_article_10.1007_s00521-016-2718-5 http://link.springer.com/article/10.1007/s00521-016-2718-5
http___dx.doi.org_10.1007_s00521-016-2718-5 http://dx.doi.org/10.1007/s00521-016-2718-5
emse19 A comparison of tree- and line-oriented observational slicing
DavidWBinkley.html
NicolasEGold.html
SyedIslam.html
JensKrinke.html
ShinYoo.html
http___www.cs.ucl.ac.uk_staff_j.krinke_publications_emse19.pdf http://www.cs.ucl.ac.uk/staff/j.krinke/publications/emse19.pdf
http___dx.doi.org_10.1007_s10664-018-9675-9 http://dx.doi.org/10.1007/s10664-018-9675-9
Birchenhall:1995:EJ Genetic Algorithms, Classifier Systems and Genetic Programming and their Use in the Models of Adaptive Behaviour and Learning
ChrisBirchenhall.html
http___links.jstor.org_sici_sici_0013-0133_28199505_29105_3A430_3C788_3AGACSAG_3E2.0.CO_3B2-_23 http://links.jstor.org/sici?sici=0013-0133%28199505%29105%3A430%3C788%3AGACSAG%3E2.0.CO%3B2-%23
DBLP:conf/petra/Bird22 EEG Wavelet Classification for Fall Detection with Genetic Programming
JordanJBird.html
https___doi.org_10.1145_3529190.3535339 https://doi.org/10.1145/3529190.3535339
http___dx.doi.org_10.1145_3529190.3535339 http://dx.doi.org/10.1145/3529190.3535339
https___dblp.org_rec_conf_petra_Bird22.bib https://dblp.org/rec/conf/petra/Bird22.bib
Bird:2023:GPEM Fall compensation detection from EEG using neuroevolution and genetic hyperparameter optimisation
JordanJBird.html
AhmadLotfi.html
https___rdcu.be_dcJdp https://rdcu.be/dcJdp
http___dx.doi.org_10.1007_s10710-023-09453-3 http://dx.doi.org/10.1007/s10710-023-09453-3
oai:CiteSeerPSU:397549 Schemas and Genetic Programming
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http___www.springeronline.com_sgw_cda_frontpage_0_11855_5-135-22-33673255-0_00.html http://www.springeronline.com/sgw/cda/frontpage/0,11855,5-135-22-33673255-0,00.html
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http___dx.doi.org_10.1007_978-94-010-0870-9_50 http://dx.doi.org/10.1007/978-94-010-0870-9_50
Birtolo:2010:ICEIS Supporting Menu Layout Design by Genetic Programming
CosimoBirtolo.html
RobertoArmenise.html
LuigiTroiano.html
https___www.poste.it_azienda_research_development_pubblicazioni_ICEIS10_20-_20SUPPORTING_20MENU_20LAYOUT_20DESIGN_20BY_20GP.pdf https://www.poste.it/azienda/research_development/pubblicazioni/ICEIS10%20-%20SUPPORTING%20MENU%20LAYOUT%20DESIGN%20BY%20GP.pdf
bisat:1998:ussbctn Using Adaptive Agents to Study Bilateral Contracts and Trade Networks
MonaTBisat.html
CharlesWRichterJr.html
GeraldBSheble.html
http___dakotarichter.com_papers_gp98PosterPaperBisatRichterSheble.pdf http://dakotarichter.com/papers/gp98PosterPaperBisatRichterSheble.pdf
Bischl:thesis Model and Algorithm Selection in Statistical Learning and Optimization
BerndBischl.html
https___eldorado.tu-dortmund.de_bitstream_2003_32861_1_phd.pdf https://eldorado.tu-dortmund.de/bitstream/2003/32861/1/phd.pdf
http___hdl.handle.net_2003_32861 http://hdl.handle.net/2003/32861
https___eldorado.tu-dortmund.de_handle_2003_32861 https://eldorado.tu-dortmund.de/handle/2003/32861
http___dx.doi.org_10.17877_DE290R-7142 http://dx.doi.org/10.17877/DE290R-7142
conf/evoW/BishopCT14 Feature Construction Using Genetic Programming for Classification of Images by Aesthetic Value
AndrewBishop.html
VictorCiesielski.html
KarenTrist.html
http___dx.doi.org_10.1007_978-3-662-44335-4 http://dx.doi.org/10.1007/978-3-662-44335-4
Biswas:thesis Optimization of Hydrometallurgical Processing of Lean Manganese Bearing Resources
ArijitBiswas.html
http___www.idr.iitkgp.ac.in_xmlui_handle_123456789_951 http://www.idr.iitkgp.ac.in/xmlui/handle/123456789/951
Biswas:2011:MMP Data-Driven Multiobjective Analysis of Manganese Leaching from Low Grade Sources Using Genetic Algorithms, Genetic Programming, and Other Allied Strategies
ArijitBiswas.html
OgierMaitre.html
DebangaNandanMondal.html
SyamalKantiDas.html
ProdipKumarSen.html
PierreCollet.html
NirupamChakraborti.html
http___www.tandfonline.com_doi_abs_10.1080_10426914.2010.544809 http://www.tandfonline.com/doi/abs/10.1080/10426914.2010.544809
http___www.tandfonline.com_doi_pdf_10.1080_10426914.2010.544809 http://www.tandfonline.com/doi/pdf/10.1080/10426914.2010.544809
http___dx.doi.org_10.1080_10426914.2010.544809 http://dx.doi.org/10.1080/10426914.2010.544809
conf/softcomp/BittencourtSLAO10 The Gene Expression Programming Applied to Demand Forecast
EvandroBittencourt.html
SidneySchossland.html
RaulLandmann.html
DenioMurilodeAguiar.html
AdilsonGomesDeOliveira.html
http___dx.doi.org_10.1007_978-3-642-13161-5_25 http://dx.doi.org/10.1007/978-3-642-13161-5_25
Bladek:2016:GECCOcomp Simultaneous Synthesis of Multiple Functions using Genetic Programming with Scaffolding
IwoBladek.html
KrzysztofKrawiec.html
https___www.cs.put.poznan.pl_ibladek_publications_conferences_gecco16_poster_simult.pdf https://www.cs.put.poznan.pl/ibladek/publications/conferences/gecco16_poster_simult.pdf
http___dx.doi.org_10.1145_2908961.2908992 http://dx.doi.org/10.1145/2908961.2908992
Bladek:2017:EuroGP Evolutionary Program Sketching
IwoBladek.html
KrzysztofKrawiec.html
http___repozytorium.put.poznan.pl_publication_495662 http://repozytorium.put.poznan.pl/publication/495662
http___dx.doi.org_10.1007_978-3-319-55696-3_1 http://dx.doi.org/10.1007/978-3-319-55696-3_1
Bladek:EC Counterexample-Driven Genetic Programming: Heuristic Program Synthesis from Formal Specifications
IwoBladek.html
KrzysztofKrawiec.html
JerrySwan.html
http___dx.doi.org_10.1162_evco_a_00228 http://dx.doi.org/10.1162/evco_a_00228
Bladek:2019:GECCO Solving symbolic regression problems with formal constraints
IwoBladek.html
KrzysztofKrawiec.html
http___dx.doi.org_10.1145_3321707.3321743 http://dx.doi.org/10.1145/3321707.3321743
Bladek:ieeeTEC Counterexample-Driven Genetic Programming for Symbolic Regression with Formal Constraints
IwoBladek.html
KrzysztofKrawiec.html
http___dx.doi.org_10.1109_TEVC.2022.3205286 http://dx.doi.org/10.1109/TEVC.2022.3205286
Blair:2013:CEC Learning the Caesar and Vigenere Cipher by Hierarchical Evolutionary Re-Combination
AlanBlair.html
http___www.cse.unsw.edu.au__blair_pubs_2013BlairCEC.pdf http://www.cse.unsw.edu.au/~blair/pubs/2013BlairCEC.pdf
http___dx.doi.org_10.1109_CEC.2013.6557624 http://dx.doi.org/10.1109/CEC.2013.6557624
Blair:2014:GECCOcomp Incremental evolution of HERCL programs for robust control
AlanBlair.html
http___doi.acm.org_10.1145_2598394.2598424 http://doi.acm.org/10.1145/2598394.2598424
http___dx.doi.org_10.1145_2598394.2598424 http://dx.doi.org/10.1145/2598394.2598424
Blair:2019:evomusart Adversarial Evolution and Deep Learning - How Does an Artist Play with Our Visual System?
AlanBlair.html
http___dx.doi.org_10.1007_978-3-030-16667-0_2 http://dx.doi.org/10.1007/978-3-030-16667-0_2
Blasco:2021:JSS An evolutionary approach for generating software models: The case of Kromaia in Game Software Engineering
DanielBlasco.html
JaimeBurdeusFont.html
MarZamoranoLopez.html
CarlosCetina.html
http___www.human-competitive.org_sites_default_files_blasco-font-zamorano-cetina-text.txt http://www.human-competitive.org/sites/default/files/blasco-font-zamorano-cetina-text.txt
http___www.human-competitive.org_sites_default_files_blasco_jss_2021_pre_0.pdf http://www.human-competitive.org/sites/default/files/blasco_jss_2021_pre_0.pdf
https___www.sciencedirect.com_science_article_pii_S0164121220302089 https://www.sciencedirect.com/science/article/pii/S0164121220302089
http___dx.doi.org_10.1016_j.jss.2020.110804 http://dx.doi.org/10.1016/j.jss.2020.110804
http___www.human-competitive.org_sites_default_files_font_for_humies.107mb.mp4 http://www.human-competitive.org/sites/default/files/font_for_humies.107mb.mp4
https___youtu.be_2z9FcKKB70w https://youtu.be/2z9FcKKB70w
Blasco:2010:ARES Improving Network Intrusion Detection by Means of Domain-Aware Genetic Programming
JorgeBlascoAlis.html
AgustinOrfilaDiaz-Pabon.html
DArturoRibagordaGarnacho.html
http___dx.doi.org_10.1109_ARES.2010.53 http://dx.doi.org/10.1109/ARES.2010.53
bleuler:2001:mgprbus Multiobjective Genetic Programming: Reducing Bloat Using SPEA2
StefanBleuler.html
MartinBrack.html
LotharThiele.html
EckartZitzler.html
ftp___ftp.tik.ee.ethz.ch_pub_people_zitzler_BBTZ2001b.ps.gz ftp://ftp.tik.ee.ethz.ch/pub/people/zitzler/BBTZ2001b.ps.gz
http___citeseer.ist.psu.edu_443099.html http://citeseer.ist.psu.edu/443099.html
http___dx.doi.org_10.1109_CEC.2001.934438 http://dx.doi.org/10.1109/CEC.2001.934438
Bleuler:2008:MPSN Reducing Bloat in GP with Multiple Objectives
StefanBleuler.html
JohannesBader.html
EckartZitzler.html
http___dx.doi.org_10.1007_978-3-540-72964-8_9 http://dx.doi.org/10.1007/978-3-540-72964-8_9
BT94 Genetic Programming and Redundancy
TobiasBlickle.html
LotharThiele.html
http___www.tik.ee.ethz.ch__tec_publications_bt94_GPandRedundancy.ps.gz http://www.tik.ee.ethz.ch/~tec/publications/bt94/GPandRedundancy.ps.gz
blickle:1995:css A Comparison of Selection Schemes Used in Genetic Algorithms
TobiasBlickle.html
LotharThiele.html
http___www.handshake.de_user_blickle_publications_TIK-Report11abstract.html http://www.handshake.de/user/blickle/publications/TIK-Report11abstract.html
http___www.handshake.de_user_blickle_publications_tik-report11_v2.ps http://www.handshake.de/user/blickle/publications/tik-report11_v2.ps
blickle:1995:ea Optimieren nach dem Vorbild der Natur, Evolutionare Algorithmen
TobiasBlickle.html
http___www.handshake.de_user_blickle_publications_EA.ps http://www.handshake.de/user/blickle/publications/EA.ps
blickle:1995:YAGPLIC YAGPLIC User Manual
TobiasBlickle.html
blickle:1996:ecs Evolving Compact Solutions in Genetic Programming: A Case Study
TobiasBlickle.html
http___www.handshake.de_user_blickle_publications_ppsn1.ps http://www.handshake.de/user/blickle/publications/ppsn1.ps
blickle96 Evolving Compact Solutions in Genetic Programming: A Case Study
TobiasBlickle.html
http___www.handshake.de_user_blickle_publications_ppsn1.ps http://www.handshake.de/user/blickle/publications/ppsn1.ps
http___citeseer.ist.psu.edu_blickle96evolving.html http://citeseer.ist.psu.edu/blickle96evolving.html
http___dx.doi.org_10.1007_3-540-61723-X_1020 http://dx.doi.org/10.1007/3-540-61723-X_1020
blickle:thesis Theory of Evolutionary Algorithms and Application to System Synthesis
TobiasBlickle.html
http___www.handshake.de_user_blickle_publications_diss.pdf http://www.handshake.de/user/blickle/publications/diss.pdf
http___dx.doi.org_10.3929_ethz-a-001710359 http://dx.doi.org/10.3929/ethz-a-001710359
DBLP:journals/ec/BlickleT96 A Comparison of Selection Schemes used in Evolutionary Algorithms
TobiasBlickle.html
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http___www.handshake.de_user_blickle_publications_ECfinal.ps http://www.handshake.de/user/blickle/publications/ECfinal.ps
http___dx.doi.org_10.1162_evco.1996.4.4.361 http://dx.doi.org/10.1162/evco.1996.4.4.361
Blot:2019:GI Fuzzy Edit Sequences in Genetic Improvement
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Blot:2019:GI7 On Adaptive Specialisation in Genetic Improvement
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Blot:2020:EuroGP Comparing Genetic Programming Approaches for Non-Functional Genetic Improvement Case Study: Improvement of MiniSAT's Running Time
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Blot:2020:GIsp Stack-Based Genetic Improvement
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Blot:2020:GI Synthetic Benchmarks for Genetic Improvement
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http___dx.doi.org_10.1145_3387940.3392175 http://dx.doi.org/10.1145/3387940.3392175
blot:2021:tevc Empirical Comparison of Search Heuristics for Genetic Improvement of Software
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http___dx.doi.org_10.1109_TEVC.2021.3070271 http://dx.doi.org/10.1109/TEVC.2021.3070271
blot:hal-03595447 Using Genetic Improvement to Optimise Optimisation Algorithm Implementations
AymericBlot.html
JustynaPetke.html
https___hal.archives-ouvertes.fr_hal-03595447 https://hal.archives-ouvertes.fr/hal-03595447
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blot:2022:corr_1 MAGPIE: Machine Automated General Performance Improvement via Evolution of Software
AymericBlot.html
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https___arxiv.org_abs_2208.02811 https://arxiv.org/abs/2208.02811
http___dx.doi.org_10.48550_arxiv.2208.02811 http://dx.doi.org/10.48550/arxiv.2208.02811
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blot2022comprehensive A Comprehensive Survey of Benchmarks for Automated Improvement of Software's Non-Functional Properties
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https___arxiv.org_abs_2212.08540 https://arxiv.org/abs/2212.08540
https___bloa.github.io_nfunc_survey_ https://bloa.github.io/nfunc_survey/
Blum:2013:GECCOcomp GECCO '13 Companion: Proceeding of the fifteenth annual conference companion on Genetic and evolutionary computation conference companion
ChristianBlum.html
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EmmaHart.html
KevinSim.html
StevenMGustafson.html
Ekaterina_Katya_Vladislavleva.html
AnneAuger.html
BerndBischl.html
DimoBrockhoff.html
NikolausHansen.html
OlafMersmann.html
PetrPosik.html
HeikeTrautmann.html
MuhammadIqbal.html
KamranShafi.html
RyanJUrbanowicz.html
StefanWagner.html
MichaelAffenzeller.html
DavidWalker.html
RichardEverson.html
JonathanEFieldsend.html
ForrestStonedahl.html
WilliamMichaelRand.html
StephenLSmith.html
StefanoCagnoni.html
RobertMPatton.html
GiseleLPappa.html
JohnRWoodward.html
JerrySwan.html
KrzysztofKrawiec.html
Alexandru-AdrianTantar.html
PeterANBosman.html
MiguelVega-Rodriguez.html
JoseMChaves-Gonzalez.html
DavidLGonzalez-Alvarez.html
SergioSantander-Jimenez.html
LeeSpector.html
MaartenKeijzer.html
KennethLHolladay.html
TeaTusar.html
BorisNaujoks.html
http___dl.acm.org_citation.cfm_id_2464576 http://dl.acm.org/citation.cfm?id=2464576
Blum:2013:GECCO GECCO '13: Proceeding of the fifteenth annual conference on Genetic and evolutionary computation conference
ChristianBlum.html
EnriqueAlba.html
AnneAuger.html
JaumeBacardit.html
JoshCBongard.html
JurgenBranke.html
NicolasBredeche.html
DimoBrockhoff.html
FranciscoChicano.html
AlanDorin.html
ReneDoursat.html
AnikoEkart.html
TobiasFriedrich.html
MarioGiacobini.html
MarkHarman.html
HitoshiIba.html
ChristianIgel.html
ThomasJansen.html
TimKovacs.html
TarasKowaliw.html
ManuelLopez-Ibanez.html
JoseALozano.html
GabrielLuque.html
JohnAWMcCall.html
AlbertoMoraglio.html
AlisonAMotsinger.html
FrankNeumann.html
GabrielaOchoa.html
GustavoOlague.html
Yew-SoonOng.html
MichaelEPalmer.html
GiseleLPappa.html
KonstantinosEParsopoulos.html
ThomasSchmickl.html
StephenLSmith.html
ChristineSolnon.html
ThomasStuetzle.html
El-GhazaliTalbi.html
DanielRTauritz.html
LeonardoVanneschi.html
http___dl.acm.org_citation.cfm_id_2463372 http://dl.acm.org/citation.cfm?id=2463372
blume:2000:ocfromsgesGLEAM Optimized Collision Free Robot Move Statement Generation by the Evolutionary Software GLEAM
ChristianBlume.html
http___dx.doi.org_10.1007_3-540-45561-2_32 http://dx.doi.org/10.1007/3-540-45561-2_32
bobrovnikoff:2000:SEISP SoccerBots: Evolving Intelligent Soccer Players
DmitriBobrovnikoff.html
Boetticher:2006:IRI The Assessment and Application of Lineage Information in Genetic Programs for Producing Better Models
GaryDBoetticher.html
KimKaminsky.html
http___dx.doi.org_10.1109_IRI.2006.252403 http://dx.doi.org/10.1109/IRI.2006.252403
Bogdanova:2019:GECCOcomp Franken-swarm: grammatical evolution for the automatic generation of swarm-like meta-heuristics
AnnaBogdanova.html
JairPereiraJunior.html
ClausdeCastroAranha.html
http___dx.doi.org_10.1145_3319619.3321902 http://dx.doi.org/10.1145/3319619.3321902
BOHAIENKO:2021:RCO Selection of ?-Caputo derivatives' functional parameters in generalized water transport equation by genetic programming technique
VsevolodBohaienko.html
http___dx.doi.org_10.1016_j.rico.2021.100068 http://dx.doi.org/10.1016/j.rico.2021.100068
https___www.sciencedirect.com_science_article_pii_S2666720721000394 https://www.sciencedirect.com/science/article/pii/S2666720721000394
Bohm:2019:GECCOcomp MABE 2.0: an introduction to MABE and a road map for the future of MABE development
CliffordBohm.html
AlexanderLalejini.html
JordenSchossau.html
CharlesOfria.html
http___dx.doi.org_10.1145_3319619.3326825 http://dx.doi.org/10.1145/3319619.3326825
Bohm:2022:AlifeJ Using the Comparative Hybrid Approach to Disentangle the Role of Substrate Choice on the Evolution of Cognition
CliffordBohm.html
SarahAlbani.html
CharlesOfria.html
AcaciaAckles.html
http___dx.doi.org_10.1162_artl_a_00372 http://dx.doi.org/10.1162/artl_a_00372
bohm:1996:eui Exact Uniform Initialization for Genetic Programming
WalterBoehm.html
AndreasGeyer-Schulz.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_bohm_1996_eui.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/bohm_1996_eui.pdf
http___cseweb.ucsd.edu__rik_foga4_Abstracts_07-wb-abs.html http://cseweb.ucsd.edu/~rik/foga4/Abstracts/07-wb-abs.html
Boisbunon:2021:GECCO Zoetrope Genetic Programming for regression
AurelieBoisbunon.html
CarloFanara.html
IngridGrenet.html
JonathanDaeden.html
AlexisVighi.html
MarcSchoenauer.html
https___hal.archives-ouvertes.fr_hal-03155694_file_ZGP_regression_arxiv.pdf https://hal.archives-ouvertes.fr/hal-03155694/file/ZGP_regression_arxiv.pdf
http___dx.doi.org_10.1145_3449639.3459349 http://dx.doi.org/10.1145/3449639.3459349
https___gitlab.devenv.mydatamodels.com_publications_bench-zgp-symbolic-regression_-_tree_master_ https://gitlab.devenv.mydatamodels.com/publications/bench-zgp-symbolic-regression/-/tree/master/
Boisvert:2021:EuroGP Quality Diversity Genetic Programming for Learning Decision Tree Ensembles
StephenBoisvert.html
JohnWSheppard.html
http___dx.doi.org_10.1007_978-3-030-72812-0_1 http://dx.doi.org/10.1007/978-3-030-72812-0_1
bojarczuk:1999:DGP Discovering comprehensible classification rules by using Genetic Programming: a case study in a medical domain
CeliaCristinaBojarczuk.html
HeitorSilverioLopes.html
AlexAlvesFreitas.html
http___www.cs.kent.ac.uk_people_staff_aaf_pub_papers.dir_gecco99.ps http://www.cs.kent.ac.uk/people/staff/aaf/pub_papers.dir/gecco99.ps
https___www.cs.kent.ac.uk_people_staff_aaf_pubs.html https://www.cs.kent.ac.uk/people/staff/aaf/pubs.html
http___citeseer.ist.psu.edu_340269.html http://citeseer.ist.psu.edu/340269.html
http___gpbib.cs.ucl.ac.uk_gecco1999_GP-417.pdf http://gpbib.cs.ucl.ac.uk/gecco1999/GP-417.pdf
http___gpbib.cs.ucl.ac.uk_gecco1999_GP-417.ps http://gpbib.cs.ucl.ac.uk/gecco1999/GP-417.ps
bojarczuk:2000:kdcp Genetic programming for knowledge discovery in chest-pain diagnosis
CeliaCristinaBojarczuk.html
HeitorSilverioLopes.html
AlexAlvesFreitas.html
http___ieeexplore.ieee.org_iel5_51_18543_00853480.pdf http://ieeexplore.ieee.org/iel5/51/18543/00853480.pdf
https___www.cs.kent.ac.uk_people_staff_aaf_pubs.html https://www.cs.kent.ac.uk/people/staff/aaf/pubs.html
http___www.cs.kent.ac.uk_people_staff_aaf_pub_papers.dir_IEEE-EMB-2000.ps http://www.cs.kent.ac.uk/people/staff/aaf/pub_papers.dir/IEEE-EMB-2000.ps
http___citeseer.ist.psu.edu_459907.html http://citeseer.ist.psu.edu/459907.html
bojarczuk:2001:idamap Data mining with constrained-syntax genetic programming: applications to medical data sets
CeliaCristinaBojarczuk.html
HeitorSilverioLopes.html
AlexAlvesFreitas.html
http___www.ailab.si_idamap_idamap2001_papers_bojarczuk.pdf http://www.ailab.si/idamap/idamap2001/papers/bojarczuk.pdf
https___www.cs.kent.ac.uk_people_staff_aaf_pubs.html https://www.cs.kent.ac.uk/people/staff/aaf/pubs.html
https___kar.kent.ac.uk_13556_ https://kar.kent.ac.uk/13556/
http___www.cs.kent.ac.uk_people_staff_aaf_pub_papers.dir_IDAMAP-2001.ps http://www.cs.kent.ac.uk/people/staff/aaf/pub_papers.dir/IDAMAP-2001.ps
http___citeseer.ist.psu.edu_459555.html http://citeseer.ist.psu.edu/459555.html
bojarczuk03 An innovative application of a constrained-syntax genetic programming system to the problem of predicting survival of patients
CeliaCristinaBojarczuk.html
HeitorSilverioLopes.html
AlexAlvesFreitas.html
https___www.cs.kent.ac.uk_people_staff_aaf_pubs.html https://www.cs.kent.ac.uk/people/staff/aaf/pubs.html
http___dx.doi.org_10.1007_3-540-36599-0_2 http://dx.doi.org/10.1007/3-540-36599-0_2
bojarczuk:2004:EMBM A constrained-syntax genetic programming system for discovering classification rules: application to medical data sets
CeliaCristinaBojarczuk.html
HeitorSilverioLopes.html
AlexAlvesFreitas.html
EdsonLMichalkiewicz.html
https___www.cs.kent.ac.uk_people_staff_aaf_pubs.html https://www.cs.kent.ac.uk/people/staff/aaf/pubs.html
http___www.cpgei.cefetpr.br__hslopes_publicacoes_2004_aim2004.pdf http://www.cpgei.cefetpr.br/~hslopes/publicacoes/2004/aim2004.pdf
http___www.sciencedirect.com_science_article_B6T4K-4B42BDH-1_2_77bc597c3188977bd9ffb40ba10802ac http://www.sciencedirect.com/science/article/B6T4K-4B42BDH-1/2/77bc597c3188977bd9ffb40ba10802ac
http___www.harcourt-international.com_journals_aiim_ http://www.harcourt-international.com/journals/aiim/
http___dx.doi.org_10.1016_j.artmed.2003.06.001 http://dx.doi.org/10.1016/j.artmed.2003.06.001
Bojtar:2020:CINTI Queen Bee Based Genetic Programming Method for a Hive Like Behavior
VeronikaBojtar.html
JanosBotzheim.html
http___dx.doi.org_10.1109_CINTI51262.2020.9305824 http://dx.doi.org/10.1109/CINTI51262.2020.9305824
Bokhari:2016:GI Optimising Energy Consumption Heuristically on Android Mobile Phones
MahmoudABokhari.html
MarkusWagner.html
http___cs.adelaide.edu.au__markus_pub_2016-gecco-gi-energy.pdf http://cs.adelaide.edu.au/~markus/pub/2016-gecco-gi-energy.pdf
http___geneticimprovementofsoftware.com_wp-content_uploads_2016_06_Optimising_Energy_Consumption_Heuristically_on_Android_Mobile_Phones.pdf http://geneticimprovementofsoftware.com/wp-content/uploads/2016/06/Optimising_Energy_Consumption_Heuristically_on_Android_Mobile_Phones.pdf
http___dx.doi.org_10.1145_2908961.2931691 http://dx.doi.org/10.1145/2908961.2931691
Bokhari:2017:GI Deep Parameter Optimisation on Android Smartphones for Energy Minimisation - A Tale of Woe and a Proof-of-Concept
MahmoudABokhari.html
BobbyRBruce.html
BradAlexander.html
MarkusWagner.html
http___geneticimprovementofsoftware.com_wp-content_uploads_2017_05_bokhari2017_deep_parameter_optimisation.pdf http://geneticimprovementofsoftware.com/wp-content/uploads/2017/05/bokhari2017_deep_parameter_optimisation.pdf
http___cs.adelaide.edu.au__markus_pub_2017gecco-deepandroid.pdf http://cs.adelaide.edu.au/~markus/pub/2017gecco-deepandroid.pdf
http___dx.doi.org_10.1145_3067695.3082519 http://dx.doi.org/10.1145/3067695.3082519
Bokhari:2018:MobiQuitous In-Vivo and Offline Optimisation of Energy Use in the Presence of Small Energy Signals: A Case Study on a Popular Android Library
MahmoudABokhari.html
BradAlexander.html
MarkusWagner.html
https___cs.adelaide.edu.au__markus_pub_2018mobiquitous-smallEnergySignals.pdf https://cs.adelaide.edu.au/~markus/pub/2018mobiquitous-smallEnergySignals.pdf
https___srb.sdl.edu.sa_esploro_outputs_conferenceProceeding_In-vivo-and-offline-optimisation-of-energy_9930446008331 https://srb.sdl.edu.sa/esploro/outputs/conferenceProceeding/In-vivo-and-offline-optimisation-of-energy/9930446008331
http___dx.doi.org_10.1145_3286978.3287014 http://dx.doi.org/10.1145/3286978.3287014
Bokhari:2019:GI7 The Quest for Non-Functional Property Optimisation in Heterogeneous and Fragmented Ecosystems: a Distributed Approach
MahmoudABokhari.html
MarkusWagner.html
BradAlexander.html
https___cs.adelaide.edu.au__markus_pub_2019gecco-islands.pdf https://cs.adelaide.edu.au/~markus/pub/2019gecco-islands.pdf
http___dx.doi.org_10.1145_3319619.3326877 http://dx.doi.org/10.1145/3319619.3326877
Bokhari:2020:GI9 Genetic Improvement of Software Efficiency: The Curse of Fitness Estimation
MahmoudABokhari.html
MarkusWagner.html
BradAlexander.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_gecco2020_companion_files_wksp145s2-file1.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/gecco2020/companion_files/wksp145s2-file1.pdf
http___dx.doi.org_10.1145_3377929.3398109 http://dx.doi.org/10.1145/3377929.3398109
Bokhari:2020:GECCO Towards Rigorous Validation of Energy Optimisation Experiments
MahmoudABokhari.html
BradAlexander.html
MarkusWagner.html
https___arxiv.org_abs_2004.04500 https://arxiv.org/abs/2004.04500
https___doi.org_10.1145_3377930.3390245 https://doi.org/10.1145/3377930.3390245
http___dx.doi.org_10.1145_3377930.3390245 http://dx.doi.org/10.1145/3377930.3390245
Bokhari2020_PhD Genetic Improvement of Software for Energy Efficiency in Noisy and Fragmented Eco-Systems
MahmoudABokhari.html
http___hdl.handle.net_2440_130174 http://hdl.handle.net/2440/130174
https___digital.library.adelaide.edu.au_dspace_bitstream_2440_130174_1_Bokhari2020_PhD.pdf https://digital.library.adelaide.edu.au/dspace/bitstream/2440/130174/1/Bokhari2020_PhD.pdf
DBLP:conf/icaart/BokhariT20 Design of Scenario-based Application-optimized Data Replication Strategies through Genetic Programming
SyedMohtashimAbbasBokhari.html
OliverTheel.html
https___doi.org_10.5220_0008955301200129 https://doi.org/10.5220/0008955301200129
http___dx.doi.org_10.5220_0008955301200129 http://dx.doi.org/10.5220/0008955301200129
https___dblp.org_rec_conf_icaart_BokhariT20.bib https://dblp.org/rec/conf/icaart/BokhariT20.bib
Bokhari:2020:CEC A Genetic Programming-based Multi-objective Optimization Approach to Data Replication Strategies for Distributed Systems
SyedMohtashimAbbasBokhari.html
OliverTheel.html
http___dx.doi.org_10.1109_CEC48606.2020.9185598 http://dx.doi.org/10.1109/CEC48606.2020.9185598
Bokhari:2020:PRDC Introducing Novel Crossover and Mutation Operators into Data Replication Strategies for Distributed Systems
SyedMohtashimAbbasBokhari.html
OliverTheel.html
http___dx.doi.org_10.1109_PRDC50213.2020.00013 http://dx.doi.org/10.1109/PRDC50213.2020.00013
Bokhari:2020:ICPADS Use of Genetic Programming Operators in Data Replication and Fault Tolerance
SyedMohtashimAbbasBokhari.html
OliverTheel.html
http___dx.doi.org_10.1109_ICPADS51040.2020.00047 http://dx.doi.org/10.1109/ICPADS51040.2020.00047
olandi2019intelligent An Intelligent Model for the Prediction of Bond Strength of FRP Bars in Concrete: A Soft Computing Approach
HamedBolandi.html
WolfgangBanzhaf.html
NizarLajnef.html
KavehBarri.html
AHAlavi.html
https___www.mdpi.com_2227-7080_7_2_42_pdf https://www.mdpi.com/2227-7080/7/2/42/pdf
https___doi.org_10.3390_technologies7020042 https://doi.org/10.3390/technologies7020042
http___dx.doi.org_10.3390_technologies7020042 http://dx.doi.org/10.3390/technologies7020042
Bolandi:2019:GECCOcomp Bond strength prediction of FRP-bar reinforced concrete: a multi-gene genetic programming approach
HamedBolandi.html
WolfgangBanzhaf.html
NizarLajnef.html
KavehBarri.html
AHAlavi.html
http___dx.doi.org_10.1145_3319619.3322066 http://dx.doi.org/10.1145/3319619.3322066
boldi:2023:GECCOcomp The Problem Solving Benefits of Down-Sampling Vary by Selection Scheme
RyanBoldi.html
AshleyBao.html
MartinBriesch.html
ThomasHelmuth.html
DominikSobania.html
LeeSpector.html
AlexanderLalejini.html
http___dx.doi.org_10.1145_3583133.3590713 http://dx.doi.org/10.1145/3583133.3590713
boldi:2023:GECCOcomp2 A Static Analysis of Informed Down-Samples
RyanBoldi.html
AlexanderLalejini.html
ThomasHelmuth.html
LeeSpector.html
http___dx.doi.org_10.1145_3583133.3590751 http://dx.doi.org/10.1145/3583133.3590751
Bolelli-Broinizi:thesis Ordenacao evolutiva de anuncios em publicidade computacional
MarcosEduardoBolelliBroinizi.html
http___www.teses.usp.br_teses_disponiveis_45_45134_tde-09112015-104805_ http://www.teses.usp.br/teses/disponiveis/45/45134/tde-09112015-104805/
http___www.teses.usp.br_teses_disponiveis_45_45134_tde-09112015-104805_publico_def_mbroinizi.pdf http://www.teses.usp.br/teses/disponiveis/45/45134/tde-09112015-104805/publico/def_mbroinizi.pdf
http___www.teses.usp.br_teses_disponiveis_45_45134_tde-09112015-104805_en.php http://www.teses.usp.br/teses/disponiveis/45/45134/tde-09112015-104805/en.php
http___dx.doi.org_10.11606_T.45.2015.tde-09112015-104805 http://dx.doi.org/10.11606/T.45.2015.tde-09112015-104805
bolis:2001:EuroGP A GP Artificial Ant for image processing: preliminary experiments with EASEA
EnzoBolis.html
ChristianZerbi.html
PierreCollet.html
JeanLouchet.html
EvelyneLutton.html
http___minimum.inria.fr_evo-lab_Publications_EuroGPFinal.ps.gz http://minimum.inria.fr/evo-lab/Publications/EuroGPFinal.ps.gz
http___dx.doi.org_10.1007_3-540-45355-5_19 http://dx.doi.org/10.1007/3-540-45355-5_19
Bollegala:2011:GECCO RankDE: learning a ranking function for information retrieval using differential evolution
DanushkaBollegala.html
NasimulNoman.html
HitoshiIba.html
http___dx.doi.org_10.1145_2001576.2001814 http://dx.doi.org/10.1145/2001576.2001814
oai:CiteSeerX.psu:10.1.1.36.6062 Approximability and Non-Approximability by Binary Decision Diagrams (Extended Abstract)
BeateBollig.html
MartinSauerhoff.html
IngoWegener.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.36.6062 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.36.6062
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.36.6062.pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.36.6062.pdf
bollini:1999:dpEAdp Distributed and Persistent Evolutionary Algorithms: a Design Pattern
AlessandroBollini.html
MarcoPiastra.html
http___dx.doi.org_10.1007_3-540-48885-5_14 http://dx.doi.org/10.1007/3-540-48885-5_14
BOMARITO:2021:CS Development of interpretable, data-driven plasticity models with symbolic regression
GeoffreyFBomarito.html
TylerSTownsend.html
KMStewart.html
KVEsham.html
JMEmery.html
JacobDeanHochhalter.html
http___dx.doi.org_10.1016_j.compstruc.2021.106557 http://dx.doi.org/10.1016/j.compstruc.2021.106557
https___www.sciencedirect.com_science_article_pii_S0045794921000791 https://www.sciencedirect.com/science/article/pii/S0045794921000791
bomarito:2022:GECCOcomp Bayesian Model Selection for Reducing Bloat and Overfitting in Genetic Programming for Symbolic Regression
GeoffreyFBomarito.html
PatrickELeser.html
NolanCraigMcGeeStrauss.html
KarlMichaelGarbrecht.html
JacobDeanHochhalter.html
http___dx.doi.org_10.1145_3520304.3528899 http://dx.doi.org/10.1145/3520304.3528899
BOMARITO:2023:cma Automated learning of interpretable models with quantified uncertainty
GeoffreyFBomarito.html
PatrickELeser.html
NolanCraigMcGeeStrauss.html
KarlMichaelGarbrecht.html
JacobDeanHochhalter.html
http___dx.doi.org_10.1016_j.cma.2022.115732 http://dx.doi.org/10.1016/j.cma.2022.115732
https___www.sciencedirect.com_science_article_pii_S0045782522006879 https://www.sciencedirect.com/science/article/pii/S0045782522006879
Bonakdari:2016:FMI Open channel junction velocity prediction by using a hybrid self-neuron adjustable artificial neural network
HosseinBonakdari.html
AmirHosseinZaji.html
http___dx.doi.org_10.1016_j.flowmeasinst.2016.04.003 http://dx.doi.org/10.1016/j.flowmeasinst.2016.04.003
http___www.sciencedirect.com_science_article_pii_S0955598616300309 http://www.sciencedirect.com/science/article/pii/S0955598616300309
BONAKDARI:2018:AMC Evaluating the apparent shear stress in prismatic compound channels using the Genetic Algorithm based on Multi-Layer Perceptron: A comparative study
HosseinBonakdari.html
ZohrehSheikhKhozani.html
AmirHosseinZaji.html
NavidAsadpour.html
http___dx.doi.org_10.1016_j.amc.2018.06.016 http://dx.doi.org/10.1016/j.amc.2018.06.016
http___www.sciencedirect.com_science_article_pii_S0096300318305046 http://www.sciencedirect.com/science/article/pii/S0096300318305046
journals/corr/abs-2002-02751 Prediction of Discharge Capacity of Labyrinth Weir with Gene Expression Programming
HosseinBonakdari.html
IsaEbtehaj.html
BahramGharabaghi.html
AliSharifi.html
AmirMosavi.html
https___arxiv.org_abs_2002.02751 https://arxiv.org/abs/2002.02751
conf/sai/BonakdariGES20 A New Approach to Estimate the Discharge Coefficient in Sharp-Crested Rectangular Side Orifices Using Gene Expression Programming
HosseinBonakdari.html
BahramGharabaghi.html
IsaEbtehaj.html
AliSharifi.html
http___dx.doi.org_10.1007_978-3-030-52243-8_7 http://dx.doi.org/10.1007/978-3-030-52243-8_7
bonakdari:2020:Entropy A Novel Comprehensive Evaluation Method for Estimating the Bank Profile Shape and Dimensions of Stable Channels Using the Maximum Entropy Principle
HosseinBonakdari.html
AzadehGholami.html
AmirMosavi.html
AminKazemian-Kale-Kale.html
IsaEbtehaj.html
AmirHosseinAzimi.html
https___www.mdpi.com_1099-4300_22_11_1218 https://www.mdpi.com/1099-4300/22/11/1218
http___dx.doi.org_10.3390_e22111218 http://dx.doi.org/10.3390/e22111218
conf/icnc/BonfimC05 FranksTree: A Genetic Programming Approach to Evolve Derived Bracketed L-systems
DaniloMattosBonfim.html
LeandroNunesdeCastro.html
http___dx.doi.org_10.1007_11539087_168 http://dx.doi.org/10.1007/11539087_168
bongard:1999:ECAL Coevolutionary Dynamics of a Multi-population Genetic Programming System
JoshCBongard.html
http___www.cs.uvm.edu__jbongard_papers_s067.ps.gz http://www.cs.uvm.edu/~jbongard/papers/s067.ps.gz
http___www.springer.de_cgi-bin_search_book.pl_isbn_3-540-66452-1 http://www.springer.de/cgi-bin/search_book.pl?isbn=3-540-66452-1
http___citeseer.ist.psu.edu_319504.html http://citeseer.ist.psu.edu/319504.html
bongard:2000:legion The Legion System: A Novel Approach to Evolving Heterogeneity for Collective Problem Solving
JoshCBongard.html
http___dx.doi.org_10.1007_978-3-540-46239-2_2 http://dx.doi.org/10.1007/978-3-540-46239-2_2
Bongard:2007:PNAS Automated reverse engineering of nonlinear dynamical systems
JoshCBongard.html
HodLipson.html
http___dx.doi.org_10.1073_pnas.0609476104 http://dx.doi.org/10.1073/pnas.0609476104
Bongard:2009:TEC Accelerating Self-Modeling in Cooperative Robot Teams
JoshCBongard.html
http___dx.doi.org_10.1109_TEVC.2008.927236 http://dx.doi.org/10.1109/TEVC.2008.927236
Bongard:2009:GPTP A Functional Crossover Operator for Genetic Programming
JoshCBongard.html
http___dx.doi.org_10.1007_978-1-4419-1626-6_12 http://dx.doi.org/10.1007/978-1-4419-1626-6_12
Bongard:2010:gecco A probabilistic functional crossover operator for genetic programming
JoshCBongard.html
http___dx.doi.org_10.1145_1830483.1830649 http://dx.doi.org/10.1145/1830483.1830649
Bongard:2012:ieeetec Innocent Until Proven Guilty: Reducing Robot Shaping from Polynomial to Linear Time
JoshCBongard.html
http___dx.doi.org_10.1109_TEVC.2010.2096540 http://dx.doi.org/10.1109/TEVC.2010.2096540
Bongard:2017:ECML Understanding Climate-Vegetation Interactions in Global Rainforests Through a GP-Tree Analysis
JoshCBongard.html
AnuradhaKodali.html
MarcinSzubert.html
KamalikaDas.html
SangramGanguly.html
http___hdl.handle.net_2060_20170011183 http://hdl.handle.net/2060/20170011183
Bonifaci:2013:GPEM Andrew Adamatzky: Physarum Machines: Computers from Slime Mould
VincenzoBonifaci.html
http___dx.doi.org_10.1007_s10710-012-9169-2 http://dx.doi.org/10.1007/s10710-012-9169-2
Pedraza:2011:JSC Genetic Algorithm for Boolean minimization in an FPGA cluster
CesarPedrazaBonilla.html
JavierCastillo.html
JoseIgnacioMartinezTorre.html
PabloHuertaPellitero.html
JoseLuisBosqueOrero.html
JavierCanoCancela.html
http___dx.doi.org_10.1007_s11227-010-0401-7 http://dx.doi.org/10.1007/s11227-010-0401-7
Bonilla:2011:LASCAS Low Cost Platform for Evolvable-Based Boolean Synthesis
CesarPedrazaBonilla.html
CarlosIvanCamargoBareno.html
http___dx.doi.org_10.1109_LASCAS.2011.5750310 http://dx.doi.org/10.1109/LASCAS.2011.5750310
Pedraza_Oyaga_Gomez_2013 Sintesis booleanacon programacion genetica paralela en CPU y GPU
CesarAPedraza.html
JaimeVOyaga.html
RicardoCGomez.html
https___revistas.usb.edu.co_index.php_Ingenium_article_view_1325_1116 https://revistas.usb.edu.co/index.php/Ingenium/article/view/1325/1116
https___revistas.usb.edu.co_index.php_Ingenium_article_view_1325 https://revistas.usb.edu.co/index.php/Ingenium/article/view/1325
http___dx.doi.org_10.21500_01247492.1325 http://dx.doi.org/10.21500/01247492.1325
bonin:2024:GPEM Cellular geometric semantic genetic programming
LorenzoBonin.html
LuigiRovito.html
AndreaDeLorenzo.html
LucaManzoni.html
http___dx.doi.org_10.1007_s10710-024-09480-8 http://dx.doi.org/10.1007/s10710-024-09480-8
Bonson:2016:SSCI On novelty driven evolution in Poker
JPCBonson.html
AndrewRMcIntyre.html
MalcolmHeywood.html
http___dx.doi.org_10.1109_SSCI.2016.7849968 http://dx.doi.org/10.1109/SSCI.2016.7849968
Bonte:2010:AIAI Automatically Designing Robot Controllers and Sensor Morphology with Genetic Programming
BertBonte.html
BartWyns.html
http___dx.doi.org_10.1007_978-3-642-16239-8_14 http://dx.doi.org/10.1007/978-3-642-16239-8_14
Bonyadi:2007:ICEE Logic Optimization for Majority Gate-Based Nanoelectronic Circuits Based on Genetic Algorithm
MohammadRezaBonyadi.html
MostafaRahimiAzghadi.html
NMRad.html
KeivanNavi.html
SeyedEbrahimAfjei.html
http___dx.doi.org_10.1109_ICEE.2007.4287307 http://dx.doi.org/10.1109/ICEE.2007.4287307
booker:2000:EC1 Recombination
LashonBBooker.html
DavidBFogel.html
LDarrellWhitley.html
PeterJohnAngeline.html
GuszEiben.html
http___www.crcpress.com_product_isbn_9780750306645 http://www.crcpress.com/product/isbn/9780750306645
Boone:2017:CZ Evolutionary computation in zoology and ecology
RandallBBoone.html
https___doi.org_10.1093_cz_zox057 https://doi.org/10.1093/cz/zox057
http___dx.doi.org_10.1093_cz_zox057 http://dx.doi.org/10.1093/cz/zox057
booth:2004:eurogp Coevolution of Algorithms and Deterministic Solutions of Equations in Free Groups
RichardFBooth.html
AlexandreVBorovik.html
http___dx.doi.org_10.1007_978-3-540-24650-3_2 http://dx.doi.org/10.1007/978-3-540-24650-3_2
conf/ic3k/BorcheninovO11 Genetic Programming with Embedded Features of Symbolic Computations
YaroslavVBorcheninov.html
YuriSOkulovsky.html
http___dx.doi.org_10.5220_0003682004760479 http://dx.doi.org/10.5220/0003682004760479
Borcheninov:2012:SYRCoSE Internal and online simplification in genetic programming: an experimental comparison
YaroslavVBorcheninov.html
YuriSOkulovsky.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.300.1191 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.300.1191
http___syrcose.ispras.ru_2012_files_submissions_22_syrcose2012_submission_1.pdf http://syrcose.ispras.ru/2012/files/submissions/22_syrcose2012_submission_1.pdf
http___syrcose.ispras.ru__q_node_30 http://syrcose.ispras.ru/?q=node/30
http___dx.doi.org_10.15514_SYRCOSE-2012-6-22 http://dx.doi.org/10.15514/SYRCOSE-2012-6-22
Borg:2007:CSAW Towards Automatic Extraction of Definitions from Text
ClaudiaBorg.html
MikeRosner.html
GordonPace.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.296.4714 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.296.4714
http___staff.um.edu.mt_cbor7_publications_csaw_msc.pdf http://staff.um.edu.mt/cbor7/publications/csaw_msc.pdf
Borges:2010:gecco Model selection in genetic programming
CruzEnriqueBorges.html
CesarLuisAlonso.html
JoseLuisMontanaArnaiz.html
http___dx.doi.org_10.1145_1830483.1830662 http://dx.doi.org/10.1145/1830483.1830662
Borges:2010:ICEC Coevolutionary Architectures with Straight Line Programs for solving the Symbolic Regression Problem
CruzEnriqueBorges.html
CesarLuisAlonso.html
JoseLuisMontanaArnaiz.html
MarinadelaCruzEcheandia.html
AlfonsoOrtegadelaPuente.html
http___paginaspersonales.deusto.es_cruz.borges_Papers_10ICEC.pdf http://paginaspersonales.deusto.es/cruz.borges/Papers/10ICEC.pdf
https___www.scitepress.org_PublishedPapers_2010_30751_ https://www.scitepress.org/PublishedPapers/2010/30751/
http___www.robinbye.com_files_publications_ICEC_2010.pdf http://www.robinbye.com/files/publications/ICEC_2010.pdf
http___dx.doi.org_10.5220_0003075100410050 http://dx.doi.org/10.5220/0003075100410050
BorgesHernandez:thesis Programacion Genetica, Algoritmos Evolutivos y Aprendizaje Inductivo: Hacia una solucion al problema xvii de Smale en el caso real
CruzEnriqueBorges.html
http___paginaspersonales.deusto.es_cruz.borges_Papers_11Tesis.pdf http://paginaspersonales.deusto.es/cruz.borges/Papers/11Tesis.pdf
Borges2011706 An unsupervised heuristic-based approach for bibliographic metadata deduplication
EduardoNBorges.html
MoisesGdeCarvalho.html
RenataGalante.html
MarcosAndreGoncalves.html
AlbertoHFLaender.html
http___dx.doi.org_10.1016_j.ipm.2011.01.009 http://dx.doi.org/10.1016/j.ipm.2011.01.009
http___www.sciencedirect.com_science_article_pii_S0306457311000100 http://www.sciencedirect.com/science/article/pii/S0306457311000100
Boric:2007:cec Genetic Programming-Based Clustering Using an Information Theoretic Fitness Measure
NevenBoric.html
PabloAEstevez.html
http___dx.doi.org_10.1109_CEC.2007.4424451 http://dx.doi.org/10.1109/CEC.2007.4424451
conf/evoW/BorlikovaPSO16 Evolving Classification Models for Prediction of Patient Recruitment in Multicentre Clinical Trials Using Grammatical Evolution
GilyanaBorlikova.html
MichaelPhillips.html
LouisSmith.html
MichaelO'Neill.html
https___link.springer.com_chapter_10.1007_978-3-319-31204-0_4 https://link.springer.com/chapter/10.1007/978-3-319-31204-0_4
http___dx.doi.org_10.1007_978-3-319-31204-0_4 http://dx.doi.org/10.1007/978-3-319-31204-0_4
Borlikova:2017:GECCO Development of a Multi-model System to Accommodate Unknown Misclassification Costs in Prediction of Patient Recruitment in Multicentre Clinical Trials
GilyanaBorlikova.html
MichaelO'Neill.html
LouisSmith.html
MichaelPhillips.html
http___doi.acm.org_10.1145_3067695.3076062 http://doi.acm.org/10.1145/3067695.3076062
http___dx.doi.org_10.1145_3067695.3076062 http://dx.doi.org/10.1145/3067695.3076062
10.1007/978-3-319-55702-1_50 Alternative Fitness Functions in the Development of Models for Prediction of Patient Recruitment in Multicentre Clinical Trials
GilyanaBorlikova.html
MichaelPhillips.html
LouisSmith.html
MiguelNicolau.html
MichaelO'Neill.html
https___link.springer.com_chapter_10.1007_978-3-319-55702-1_50 https://link.springer.com/chapter/10.1007/978-3-319-55702-1_50
http___dx.doi.org_10.1007_978-3-319-55702-1_50 http://dx.doi.org/10.1007/978-3-319-55702-1_50
Borlikova:2018:hbge Business Analytics and Grammatical Evolution for the Prediction of Patient Recruitment in Multicentre Clinical Trials
GilyanaBorlikova.html
LouisSmith.html
MichaelPhillips.html
MichaelO'Neill.html
http___dx.doi.org_10.1007_978-3-319-78717-6_19 http://dx.doi.org/10.1007/978-3-319-78717-6_19
Borrelli:2006:PhysicaA Performance of genetic programming to extract the trend in noisy data series
AntonioBorrelli.html
IvanoeDeFalco.html
AntonioDellaCioppa.html
MarioNicodemi.html
GTrautteur.html
http___dx.doi.org_10.1016_j.physa.2006.04.025 http://dx.doi.org/10.1016/j.physa.2006.04.025
borunda:2020:Energies Long-Term Estimation of Wind Power by Probabilistic Forecast Using Genetic Programming
MonicaBorunda.html
KatyaRodriguez-Vazquez.html
RaulGarduno-Ramirez.html
JavierdelaCruz-Soto.html
JavierAntunez-Estrada.html
OscarAJaramillo.html
https___www.mdpi.com_1996-1073_13_8_1885 https://www.mdpi.com/1996-1073/13/8/1885
http___dx.doi.org_10.3390_en13081885 http://dx.doi.org/10.3390/en13081885
boryczka:2002:gecco Solving Approximation Problems By Ant Colony Programming
MariuszBoryczka.html
ZbigniewJCzech.html
http___gpbib.cs.ucl.ac.uk_gecco2002_aaaa288.ps http://gpbib.cs.ucl.ac.uk/gecco2002/aaaa288.ps
http___gpbib.cs.ucl.ac.uk_gecco2002_aaaa288.pdf http://gpbib.cs.ucl.ac.uk/gecco2002/aaaa288.pdf
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_gecco2002_gecco-2002-02.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/gecco2002/gecco-2002-02.pdf
boryczka:2002:gecco:lbp Solving Approximation Problems by Ant Colony Programming
MariuszBoryczka.html
ZbigniewJCzech.html
http___www-zo.iinf.polsl.gliwice.pl_pub_zjc_bc02.ps.Z http://www-zo.iinf.polsl.gliwice.pl/pub/zjc/bc02.ps.Z
DBLP:conf/vstte/BosamiyaGLPH20 Verified Transformations and Hoare Logic: Beautiful Proofs for Ugly Assembly Language
JayBosamiya.html
SydneyGibson.html
YaoLi.html
BryanParno.html
ChrisHawblitzel.html
https___dblp.org_rec_conf_vstte_BosamiyaGLPH20.bib https://dblp.org/rec/conf/vstte/BosamiyaGLPH20.bib
http___dx.doi.org_10.1007_978-3-030-63618-0_7 http://dx.doi.org/10.1007/978-3-030-63618-0_7
bo-ka-09 Towards Multi-movement Hand Prostheses: Combining Adaptive Classification with High Precision Sockets
AlexanderBoschmann.html
PaulKaufmann.html
MarcoPlatzner.html
MichaelWinkler.html
http___www.ige.tu-berlin.de_fileadmin_fg176_IGE_Printreihe_TAR_2009_paper_05_boschmann.pdf http://www.ige.tu-berlin.de/fileadmin/fg176/IGE_Printreihe/TAR_2009/paper/05_boschmann.pdf
Bose20091 Quantitative models for direct marketing: A review from systems perspective
IndranilBose.html
XiChen.html
http___dx.doi.org_10.1016_j.ejor.2008.04.006 http://dx.doi.org/10.1016/j.ejor.2008.04.006
http___www.sciencedirect.com_science_article_B6VCT-4S7SV3H-3_2_39d97985eecf3aa2b863955e4227cbb0 http://www.sciencedirect.com/science/article/B6VCT-4S7SV3H-3/2/39d97985eecf3aa2b863955e4227cbb0
SAND2005-0014 Graduated Embodiment for Sophisticated Agent Evolution and Optimization
MarkBoslough.html
MichaelDPeters.html
ArthurinePierson.html
http___www.cs.sandia.gov_web1433_pubsagent_Graduated_Embodiment.pdf http://www.cs.sandia.gov/web1433/pubsagent/Graduated_Embodiment.pdf
Boslough:2017:ieeeAero Autonomous dynamic soaring
MarkBoslough.html
http___dx.doi.org_10.1109_AERO.2017.7943967 http://dx.doi.org/10.1109/AERO.2017.7943967
UUCS2004047 Grammar Transformations in an EDA for Genetic Programming
PeterANBosman.html
EdwinDdeJong.html
http___www.cs.uu.nl_research_techreps_repo_CS-2004_2004-047.pdf http://www.cs.uu.nl/research/techreps/repo/CS-2004/2004-047.pdf
http___www.cs.uu.nl_research_techreps_UU-CS-2004-047.html http://www.cs.uu.nl/research/techreps/UU-CS-2004-047.html
bosman:2004:obu:panbos Grammar Transformations in an EDA for Genetic Programming
PeterANBosman.html
EdwinDdeJong.html
http___gpbib.cs.ucl.ac.uk_gecco2004_WOBU001.pdf http://gpbib.cs.ucl.ac.uk/gecco2004/WOBU001.pdf
Bosman:PPSN:2004 Learning Probabilistic Tree Grammars for Genetic Programming
PeterANBosman.html
EdwinDdeJong.html
http___www.cs.uu.nl__dejong_publications_edagpppsn.pdf http://www.cs.uu.nl/~dejong/publications/edagpppsn.pdf
https___rdcu.be_dc0ju https://rdcu.be/dc0ju
http___dx.doi.org_10.1007_b100601 http://dx.doi.org/10.1007/b100601
http___dx.doi.org_10.1007_978-3-540-30217-9_20 http://dx.doi.org/10.1007/978-3-540-30217-9_20
Van_den_Bossche:thesis Cost-aware resource management in clusters and clouds
RubenVandenBossche.html
http___hdl.handle.net_10067_1174120151162165141 http://hdl.handle.net/10067/1174120151162165141
http___anet.uantwerpen.be_docman_irua_aae65f_8269.pdf http://anet.uantwerpen.be/docman/irua/aae65f/8269.pdf
bot:1999:masters Application of Genetic Programming to the Induction of Linear Programming Trees
MartijnCJBot.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_martijn_verslag.ps.gz http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/martijn/verslag.ps.gz
http___citeseer.ist.psu.edu_243957.html http://citeseer.ist.psu.edu/243957.html
bot:1999:GPilct Application of Genetic Programming to Induction of Linear Classification Trees
MartijnCJBot.html
WilliamBLangdon.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_martijn_BNAIC99.bot.18aug99.ps.gz http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/martijn/BNAIC99.bot.18aug99.ps.gz
bot:2000:GPilct Application of Genetic Programming to Induction of Linear Classification Trees
MartijnCJBot.html
WilliamBLangdon.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_martijn_bot.eurogp2000.19jan.ps.gz http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/martijn/bot.eurogp2000.19jan.ps.gz
http___citeseer.ist.psu.edu_318695.html http://citeseer.ist.psu.edu/318695.html
http___dx.doi.org_10.1007_978-3-540-46239-2_18 http://dx.doi.org/10.1007/978-3-540-46239-2_18
Bot:2000:GECCO Improving Induction of Linear Classification Trees with Genetic Programming
MartijnCJBot.html
http___gpbib.cs.ucl.ac.uk_gecco2000_GP185.pdf http://gpbib.cs.ucl.ac.uk/gecco2000/GP185.pdf
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_martijn_bot.gecco2000.19jan.ps.gz http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/martijn/bot.gecco2000.19jan.ps.gz
http___citeseer.ist.psu.edu_316984.html http://citeseer.ist.psu.edu/316984.html
bot:2001:EuroGP Feature Extraction for the k-Nearest Neighbour Classifier with Genetic Programming
MartijnCJBot.html
http___dx.doi.org_10.1007_3-540-45355-5_20 http://dx.doi.org/10.1007/3-540-45355-5_20
bot:2001:fencgp Feature Extraction for the k-Nearest Neighbour Classifier with Genetic Programming
MartijnCJBot.html
Botros:2004:EMTP Evolving Controllers for Miniature Robots
MichaelWaheebBotros.html
http___www.springeronline.com_sgw_cda_frontpage_0_11855_5-175-22-33980449-0_00.html http://www.springeronline.com/sgw/cda/frontpage/0,11855,5-175-22-33980449-0,00.html
botros:2006:GSP Evolving Complex Robotic Behaviors Using Genetic Programming
MichaelWaheebBotros.html
http___dx.doi.org_10.1007_3-540-32498-4_8 http://dx.doi.org/10.1007/3-540-32498-4_8
Botwey:2014:EMBC Multi-model data fusion to improve an early warning system for hypo-/hyperglycemic events
RansfordHenryBotwey.html
ElenaDaskalaki.html
PeterDiem.html
StavroulaGMougiakakou.html
http___dx.doi.org_10.1109_EMBC.2014.6944708 http://dx.doi.org/10.1109/EMBC.2014.6944708
Botzheim:2004:ishrCI Model Identification by Bacterial Optimization
JanosBotzheim.html
LaszloTKoczy.html
http___www.bmf.hu_conferences_mtn_botzheim.pdf http://www.bmf.hu/conferences/mtn/botzheim.pdf
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.135.7233 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.135.7233
BotzheimCabritaKoczyRuano07 Genetic and Bacterial Programming for B-Spline Neural Networks Design
JanosBotzheim.html
CristianoCabrita.html
LaszloTKoczy.html
AntonioERuano.html
http___www.fujipress.jp_finder_xslt.php_mode_present_inputfile_JACII001100020012.xml http://www.fujipress.jp/finder/xslt.php?mode=present&inputfile=JACII001100020012.xml
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_botzheim_BotzheimCabritaKoczyRuano07.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/botzheim/BotzheimCabritaKoczyRuano07.pdf
http___dx.doi.org_10.20965_jaciii.2007.p0220 http://dx.doi.org/10.20965/jaciii.2007.p0220
Botzheim:thesis Intelligens szamitastechnikai modellek identifiacioja evolucios es gradiens alapu tanulo algoritmusokkal
JanosBotzheim.html
http___www.sze.hu__botzheim_hid_disszertacio.pdf http://www.sze.hu/~botzheim/hid/disszertacio.pdf
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_botzheim_thesisbooklet.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/botzheim/thesisbooklet.pdf
Bouaziz:2013:Neurocomputing A hybrid learning algorithm for evolving Flexible Beta Basis Function Neural Tree Model
SouhirBouaziz.html
HabibDhahri.html
AdelMAlimi.html
AjithAbraham.html
http___dx.doi.org_10.1016_j.neucom.2013.01.024 http://dx.doi.org/10.1016/j.neucom.2013.01.024
http___www.sciencedirect.com_science_article_pii_S0925231213001975 http://www.sciencedirect.com/science/article/pii/S0925231213001975
Bouaziz:2014:CEC PSO-Based Update Memory for Improved Harmony Search Algorithm to the Evolution of FBBFNT' Parameters
SouhirBouaziz.html
AdelMAlimi.html
AjithAbraham.html
http___dx.doi.org_10.1109_CEC.2014.6900304 http://dx.doi.org/10.1109/CEC.2014.6900304
Bouaziz:2016:ASC Evolving flexible beta basis function neural tree using extended genetic programmin \& Hybrid Artificial Bee Colony
SouhirBouaziz.html
HabibDhahri.html
AdelMAlimi.html
AjithAbraham.html
http___dx.doi.org_10.1016_j.asoc.2016.03.006 http://dx.doi.org/10.1016/j.asoc.2016.03.006
http___www.sciencedirect.com_science_article_pii_S1568494616301156 http://www.sciencedirect.com/science/article/pii/S1568494616301156
Boudardara:2018:ISMSIT Application of Artificial Bee Colony Programming to Two Trails of the Artificial Ant Problem
FatehBoudardara.html
BeyzaGorkemli.html
http___dx.doi.org_10.1109_ISMSIT.2018.8567048 http://dx.doi.org/10.1109/ISMSIT.2018.8567048
Boukhelifa:2016:EC Evolutionary Visual Exploration: Evaluation of an IEC Framework for Guided Visual Search
NadiaBoukhelifa.html
AnastasiaBezerianos.html
WaldoCancino.html
EvelyneLutton.html
https___hal.inria.fr_hal-01218959 https://hal.inria.fr/hal-01218959
https___hal.inria.fr_hal-01218959_document https://hal.inria.fr/hal-01218959/document
https___hal.inria.fr_hal-01218959_file_boukhelifa_eve_preprint.pdf https://hal.inria.fr/hal-01218959/file/boukhelifa_eve_preprint.pdf
http___dx.doi.org_10.1162_EVCO_a_00161 http://dx.doi.org/10.1162/EVCO_a_00161
Boukhelifa:2018:GPEM Guest editorial: Special issue on genetic programming, evolutionary computation and visualization
NadiaBoukhelifa.html
EvelyneLutton.html
https___doi.org_10.1007_s10710-018-9333-4 https://doi.org/10.1007/s10710-018-9333-4
http___dx.doi.org_10.1007_s10710-018-9333-4 http://dx.doi.org/10.1007/s10710-018-9333-4
boulas_ground_2016 Ground Resistance Estimation using Genetic Programming
KonstantinosBoulas.html
ValiliosPAndrovitsaneas.html
IoannisFGonos.html
GeorgiosDounias.html
IoannisAStathopulos.html
http___eeee2016.teipir.gr_ConferenceBookHELORS2016.pdf http://eeee2016.teipir.gr/ConferenceBookHELORS2016.pdf
boulas_approximating_2017 Approximating Throughput of Small Production Lines Using Genetic Programming
KonstantinosBoulas.html
GeorgiosDounias.html
ChrissoleonTPapadopoulos.html
http___link.springer.com_10.1007_978-3-319-33003-7_9 http://link.springer.com/10.1007/978-3-319-33003-7_9
http___dx.doi.org_10.1007_978-3-319-33003-7_9 http://dx.doi.org/10.1007/978-3-319-33003-7_9
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KonstantinosBoulas.html
GeorgiosDounias.html
ChrissoleonTPapadopoulos.html
AthanasiosDTsakonas.html
http___mde-lab.aegean.gr_images_stories_docs_CC97.pdf http://mde-lab.aegean.gr/images/stories/docs/CC97.pdf
boulas_acquisition_2018 Acquisition of approximate throughput formulas for serial production lines with parallel machines using intelligent techniques
KonstantinosBoulas.html
AlexandrosTzanetos.html
GeorgiosDounias.html
http___dl.acm.org_citation.cfm_doid_3200947.3201028 http://dl.acm.org/citation.cfm?doid=3200947.3201028
http___dx.doi.org_10.1145_3200947.3201028 http://dx.doi.org/10.1145/3200947.3201028
Boumanchar:2018:WMR Municipal solid waste higher heating value prediction from ultimate analysis using multiple regression and genetic programming techniques
ImaneBoumanchar.html
YounesChhiti.html
FatimaEzzahraeM'hamdiAlaoui.html
AbdelazizSahibed-Dine.html
FouadBentiss.html
CharafeddineJama.html
MohammedBensitel.html
https___hal.univ-lille.fr_hal-02922402 https://hal.univ-lille.fr/hal-02922402
http___dx.doi.org_10.1177_0734242x18816797 http://dx.doi.org/10.1177/0734242x18816797
Boumanchar:2018:IJGE Multiple regression and genetic programming for coal higher heating value estimation
ImaneBoumanchar.html
YounesChhiti.html
FatimaEzzahraeM'hamdiAlaoui.html
AbdelazizSahibed-Dine.html
FouadBentiss.html
CharafeddineJama.html
MohammedBensitel.html
https___hal.inrae.fr_hal-02620955 https://hal.inrae.fr/hal-02620955
http___dx.doi.org_10.1080_15435075.2018.1529591 http://dx.doi.org/10.1080/15435075.2018.1529591
boumanchar:BCaB Biomass higher heating value prediction from ultimate analysis using multiple regression and genetic programming
ImaneBoumanchar.html
KenzaCharafeddine.html
YounesChhiti.html
FatimaEzzahraeM'hamdiAlaoui.html
AbdelazizSahibed-Dine.html
FouadBentiss.html
CharafeddineJama.html
MohammedBensitel.html
http___link.springer.com_article_10.1007_s13399-019-00386-5 http://link.springer.com/article/10.1007/s13399-019-00386-5
http___dx.doi.org_10.1007_s13399-019-00386-5 http://dx.doi.org/10.1007/s13399-019-00386-5
Boumaza:2001:EvoWorks Dynamic Flies: Using Real-Time Parisian Evolution in Robotics
AmineMBoumaza.html
JeanLouchet.html
http___dx.doi.org_10.1007_3-540-45365-2_30 http://dx.doi.org/10.1007/3-540-45365-2_30
Boumaza:evowks03 Mobile Robot Sensor Fusion Using Flies
AmineMBoumaza.html
JeanLouchet.html
http___dx.doi.org_10.1007_3-540-36605-9_33 http://dx.doi.org/10.1007/3-540-36605-9_33
Boumaza:2012:GPEM Cameron Browne: Evolutionary game design, Springer briefs in computer science series
AmineMBoumaza.html
http___dx.doi.org_10.1007_s10710-012-9165-6 http://dx.doi.org/10.1007/s10710-012-9165-6
Bourmistrova:2007:cec Control System Design Optimisation via Genetic Programming
AnnaBourmistrova.html
SergeyKhantsis.html
http___dx.doi.org_10.1109_CEC.2007.4424718 http://dx.doi.org/10.1109/CEC.2007.4424718
Bourmistrova:2009:AV Flight Control System Design Optimisation via Genetic Programming
AnnaBourmistrova.html
SergeyKhantsis.html
http___www.intechopen.com_download_pdf_pdfs_id_5969 http://www.intechopen.com/download/pdf/pdfs_id/5969
http___www.intechopen.com_articles_show_title_flight_control_system_design_optimisation_via_genetic_programming http://www.intechopen.com/articles/show/title/flight_control_system_design_optimisation_via_genetic_programming
http___dx.doi.org_10.5772_6470 http://dx.doi.org/10.5772/6470
Bourmistrova:2010:naEC Genetic Programming in Application to Flight Control System Design Optimisation
AnnaBourmistrova.html
SergeyKhantsis.html
http___www.intechopen.com_articles_show_title_genetic-programming-in-application-to-flight-control-system-design-optimisation http://www.intechopen.com/articles/show/title/genetic-programming-in-application-to-flight-control-system-design-optimisation
http___www.intechopen.com_download_pdf_pdfs_id_8542 http://www.intechopen.com/download/pdf/pdfs_id/8542
http___dx.doi.org_10.5772_8055 http://dx.doi.org/10.5772/8055
Bousquet:2007:EA Fully Three-Dimensional Tomographic Evolutionary Reconstruction in Nuclear Medicine
AurelieBousquet.html
JeanLouchet.html
Jean-MarieRocchisani.html
http___dx.doi.org_10.1007_978-3-540-79305-2_20 http://dx.doi.org/10.1007/978-3-540-79305-2_20
Boutaib:2021:EuroGP Software Anti-patterns Detection Under Uncertainty Using A Possibilistic Evolutionary Approach
SofienBoutaib.html
MahaElarbi.html
SlimBechikh.html
Chih-ChengHung.html
LamjedBenSaid.html
http___dx.doi.org_10.1007_978-3-030-72812-0_12 http://dx.doi.org/10.1007/978-3-030-72812-0_12
conf/biostec/BoutorhG14 Grammatical Evolution Association Rule Mining to Detect Gene-Gene Interaction
AichaBoutorh.html
AhmedGuessoum.html
http___dx.doi.org_10.5220_0004913702530258 http://dx.doi.org/10.5220/0004913702530258
Bovermann:2014:CMJ Computation as Material in Live Coding
TBovermann.html
DGriffiths.html
http___dx.doi.org_10.1162_COMJ_a_00228 http://dx.doi.org/10.1162/COMJ_a_00228
bozarth:2000:PCVGP Programmatic Compression of Video using Genetic Programming
BradleyJBozarth.html
bozek:2022:Sensors Discovering Stick-Slip-Resistant Servo Control Algorithm Using Genetic Programming
AndrzejBozek.html
https___www.mdpi.com_1424-8220_22_1_383 https://www.mdpi.com/1424-8220/22/1/383
http___dx.doi.org_10.3390_s22010383 http://dx.doi.org/10.3390/s22010383
Bozogullarindan:2020:ASYU Transfer Learning in Artificial Bee Colony Programming
ElifBozogullarindan.html
CeylanBozogullarindan.html
CelalOzturk.html
http___dx.doi.org_10.1109_ASYU50717.2020.9259801 http://dx.doi.org/10.1109/ASYU50717.2020.9259801
Bozorg-Haddad:2017:JEE Modeling Water-Quality Parameters Using Genetic Algorithm-Least Squares Support Vector Regression and Genetic Programming
OmidBozorgHaddad.html
ShimaSoleimani.html
HugoALoaiciga.html
https___ascelibrary.org_doi_abs_10.1061__28ASCE_29EE.1943-7870.0001217_src_recsys https://ascelibrary.org/doi/abs/10.1061/%28ASCE%29EE.1943-7870.0001217?src=recsys
http___dx.doi.org_https___doi.org_10.1061__ASCE_EE.1943-7870.0001217 http://dx.doi.org/https://doi.org/10.1061/(ASCE)EE.1943-7870.0001217
Bozorgtabar:2010:IST Comparison of different PCA based Face Recognition algorithms using Genetic Programming
BehzadBozorgtabar.html
FarzadNoorian.html
RezaiRadGholam-Ali.html
http___dx.doi.org_10.1109_ISTEL.2010.5734132 http://dx.doi.org/10.1109/ISTEL.2010.5734132
Bozorgtabar:2011:GCC A Genetic Programming approach to face recognition
BehzadBozorgtabar.html
FarzadNoorian.html
RezaiRadGholam-Ali.html
http___dx.doi.org_10.1109_IEEEGCC.2011.5752477 http://dx.doi.org/10.1109/IEEEGCC.2011.5752477
Bozorgtabar:2011:JSIP A Genetic Programming-PCA Hybrid Face Recognition Algorithm
BehzadBozorgtabar.html
RezaiRadGholam-Ali.html
http___dx.doi.org_10.4236_jsip.2011.23022 http://dx.doi.org/10.4236/jsip.2011.23022
brabazon:2001:AAANZ Uncovering Technical Trading Rules Using Evolutionary Automatic Programming
AnthonyBrabazon.html
MichaelO'Neill.html
ConorRyan.html
JohnJamesCollins.html
brabazon:2002:EuroGP Evolving classifiers to model the relationship between strategy and corporate performance using grammatical evolution
AnthonyBrabazon.html
MichaelO'Neill.html
ConorRyan.html
RobinMatthews.html
http___dx.doi.org_10.1007_3-540-45984-7_10 http://dx.doi.org/10.1007/3-540-45984-7_10
brabazon:2002:gecco Grammatical Evolution And Corporate Failure Prediction
AnthonyBrabazon.html
MichaelO'Neill.html
RobinMatthews.html
ConorRyan.html
http___gpbib.cs.ucl.ac.uk_gecco2002_RWA145.ps http://gpbib.cs.ucl.ac.uk/gecco2002/RWA145.ps
http___gpbib.cs.ucl.ac.uk_gecco2002_RWA145.pdf http://gpbib.cs.ucl.ac.uk/gecco2002/RWA145.pdf
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_gecco2002_gecco-2002-20.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/gecco2002/gecco-2002-20.pdf
brabazon:2002:gecco:workshop Trading Foreign Exchange Markets Using Evolutionary Automatic Programming
AnthonyBrabazon.html
MichaelO'Neill.html
http___www.grammatical-evolution.org_gews2002_brabazon.ps http://www.grammatical-evolution.org/gews2002/brabazon.ps
Brabazon:2003:ICAI A Grammar Model for Foreign-Exchange Trading
AnthonyBrabazon.html
MichaelO'Neill.html
https___www.tib.eu_en_search_id_BLCP_3ACN050261220_A-Grammar-Model-for-Foreign-Exchange-Trading_ https://www.tib.eu/en/search/id/BLCP%3ACN050261220/A-Grammar-Model-for-Foreign-Exchange-Trading/
Brabazon:2004:BYB Grammars, Representations, Mental Maps and Corporate Strategy
AnthonyBrabazon.html
RobinMatthews.html
MichaelO'Neill.html
brabazon:evows04 Bond-Issuer Credit Rating with Grammatical Evolution
AnthonyBrabazon.html
MichaelO'Neill.html
http___dx.doi.org_10.1007_978-3-540-24653-4_28 http://dx.doi.org/10.1007/978-3-540-24653-4_28
brabazon:2005:GMTSP Grammar-mediated time-series prediction
AnthonyBrabazon.html
KatrinaMeagher.html
EdwardCarty.html
MichaelO'Neill.html
PeterKeenan.html
http___dx.doi.org_10.1515_JISYS.2005.14.2-3.123 http://dx.doi.org/10.1515/JISYS.2005.14.2-3.123
BrabazonONeill:2004:IJAMCSDCSuGE Diagnosing Corporate Stability using Grammatical Evolution
AnthonyBrabazon.html
MichaelO'Neill.html
http___eudml.org_doc_207703 http://eudml.org/doc/207703
http___matwbn.icm.edu.pl_ksiazki_amc_amc14_amc1436.pdf http://matwbn.icm.edu.pl/ksiazki/amc/amc14/amc1436.pdf
BrabazonONeill:2004:CMSETTRfSFEMuGE Evolving Technical Trading Rules for Spot Foreign-Exchange Markets Using Grammatical Evolution
AnthonyBrabazon.html
MichaelO'Neill.html
http___dx.doi.org_10.1007_s10287-004-0018-5 http://dx.doi.org/10.1007/s10287-004-0018-5
brabazon:2005:CRWpiGE Credit Rating with pi Grammatical Evolution
AnthonyBrabazon.html
MichaelO'Neill.html
Brabazon:2006:BIAS Biologically Inspired Algorithms for Financial Modelling
AnthonyBrabazon.html
MichaelO'Neill.html
http___dx.doi.org_10.1007_3-540-31307-9 http://dx.doi.org/10.1007/3-540-31307-9
Brabazon:2006:I Credit Classification Using Grammatical Evolution
AnthonyBrabazon.html
MichaelO'Neill.html
http___ai.ijs.si_informatica_PDF_30-3_07_Brabazon_Credit_20Classification_20Using.pdf http://ai.ijs.si/informatica/PDF/30-3/07_Brabazon_Credit%20Classification%20Using.pdf
Brabazon:2008:K-DC Bond Rating with piGrammatical Evolution
AnthonyBrabazon.html
MichaelO'Neill.html
http___dx.doi.org_10.1007_978-3-540-77475-4_2 http://dx.doi.org/10.1007/978-3-540-77475-4_2
Brabazon:2008:edbook Natural Computing in Computational Finance
AnthonyBrabazon.html
MichaelO'Neill.html
http___www.springer.com_engineering_book_978-3-540-77476-1 http://www.springer.com/engineering/book/978-3-540-77476-1
Brabazon:2008:IEEECIM An Introduction to Evolutionary Computation in Finance
AnthonyBrabazon.html
MichaelO'Neill.html
IanDempsey.html
http___ieeexplore.ieee.org_xpl_tocresult.jsp_isYear_2008_isnumber_4625777_Submit32_Go_To_Issue http://ieeexplore.ieee.org/xpl/tocresult.jsp?isYear=2008&isnumber=4625777&Submit32=Go+To+Issue
http___dx.doi.org_10.1109_MCI.2008.929841 http://dx.doi.org/10.1109/MCI.2008.929841
Brabazon:2009:book Natural Computing in Computational Finance (Volume 2)
AnthonyBrabazon.html
MichaelO'Neill.html
http___www.springer.com_engineering_book_978-3-540-95973-1 http://www.springer.com/engineering/book/978-3-540-95973-1
brabazon_oneill_maringer:2010:book Natural Computing in Computational Finance (Volume 3)
AnthonyBrabazon.html
MichaelO'Neill.html
DietmarGMaringer.html
http___www.springer.com_engineering_book_978-3-642-13949-9 http://www.springer.com/engineering/book/978-3-642-13949-9
http___dx.doi.org_10.1007_978-3-642-13950-5 http://dx.doi.org/10.1007/978-3-642-13950-5
abrabazon_moneill:ppsn2010 Natural Computing and Finance
AnthonyBrabazon.html
MichaelO'Neill.html
http___ncra.ucd.ie_papers_PPSN_tutorial_2010_published.pdf http://ncra.ucd.ie/papers/PPSN_tutorial_2010_published.pdf
BrabazonDDOE:2012:HNCNCiFAR Natural Computing in Finance - A Review
AnthonyBrabazon.html
JingDang.html
IanDempsey.html
MichaelO'Neill.html
DavidEdelman.html
http___www.springer.com_computer_theoretical_computer_science_book_978-3-540-92911-6 http://www.springer.com/computer/theoretical+computer+science/book/978-3-540-92911-6
http___dx.doi.org_10.1007_978-3-540-92910-9_51 http://dx.doi.org/10.1007/978-3-540-92910-9_51
Brabazon:book:NCA Natural Computing Algorithms
AnthonyBrabazon.html
MichaelO'Neill.html
SeanMcGarraghy.html
http___www.springer.com_computer_theoretical_computer_science_book_978-3-662-43630-1 http://www.springer.com/computer/theoretical+computer+science/book/978-3-662-43630-1
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AnthonyBrabazon.html
MichaelO'Neill.html
SeanMcGarraghy.html
http___dx.doi.org_10.1007_978-3-662-43631-8_7 http://dx.doi.org/10.1007/978-3-662-43631-8_7
Brabazon:book:NCA.17 An Introduction to Developmental and Grammatical Computing
AnthonyBrabazon.html
MichaelO'Neill.html
SeanMcGarraghy.html
http___dx.doi.org_10.1007_978-3-662-43631-8_17 http://dx.doi.org/10.1007/978-3-662-43631-8_17
Brabazon:book:NCA.18 Grammar-Based and Developmental Genetic Programming
AnthonyBrabazon.html
MichaelO'Neill.html
SeanMcGarraghy.html
http___dx.doi.org_10.1007_978-3-662-43631-8_18 http://dx.doi.org/10.1007/978-3-662-43631-8_18
Brabazon:book:NCA.19 Grammatical Evolution
AnthonyBrabazon.html
MichaelO'Neill.html
SeanMcGarraghy.html
http___dx.doi.org_10.1007_978-3-662-43631-8_19 http://dx.doi.org/10.1007/978-3-662-43631-8_19
Brabazon:book:NCA.20 Tree-Adjoining Grammars and Genetic Programming
AnthonyBrabazon.html
MichaelO'Neill.html
SeanMcGarraghy.html
http___dx.doi.org_10.1007_978-3-662-43631-8_20 http://dx.doi.org/10.1007/978-3-662-43631-8_20
Brabazon:2018:hbge Grammatical Evolution in Finance and Economics: A Survey
AnthonyBrabazon.html
http___dx.doi.org_10.1007_978-3-319-78717-6_11 http://dx.doi.org/10.1007/978-3-319-78717-6_11
Brabazon:GPEM20 Applications of genetic programming to finance and economics: past, present, future
AnthonyBrabazon.html
MichaelKampouridis.html
MichaelO'Neill.html
http___dx.doi.org_10.1007_s10710-019-09359-z http://dx.doi.org/10.1007/s10710-019-09359-z
BradburyJ10 Automatic Repair of Concurrency Bugs
JeremySBradbury.html
KevinJalbert.html
http___www.ssbse.org_2010_fastabstracts_ssbse2010_fastabstract_04.pdf http://www.ssbse.org/2010/fastabstracts/ssbse2010_fastabstract_04.pdf
bradley:2010:evofin Evolving Trading Rule-Based Policies
RobertGregoryBradley.html
AnthonyBrabazon.html
MichaelO'Neill.html
http___dx.doi.org_10.1007_978-3-642-12242-2_26 http://dx.doi.org/10.1007/978-3-642-12242-2_26
bradley_etal:cec2010 Objective Function Design in a Grammatical Evolutionary Trading System
RobertGregoryBradley.html
AnthonyBrabazon.html
MichaelO'Neill.html
http___dx.doi.org_10.1109_CEC.2010.5586020 http://dx.doi.org/10.1109/CEC.2010.5586020
Brady:2014:acmTG genBRDF: discovering new analytic BRDFs with genetic programming
AdamMBrady.html
JasonLawrence.html
PieterPeers.html
WestleyWeimer.html
https___web.eecs.umich.edu__weimerw_p_brady_sig14.pdf https://web.eecs.umich.edu/~weimerw/p/brady_sig14.pdf
http___doi.acm.org_10.1145_2601097.2601193 http://doi.acm.org/10.1145/2601097.2601193
http___dx.doi.org_10.1145_2601097.2601193 http://dx.doi.org/10.1145/2601097.2601193
DBLP:journals/npl/Braik21 A Hybrid Multi-gene Genetic Programming with Capuchin Search Algorithm for Modeling a Nonlinear Challenge Problem: Modeling Industrial Winding Process, Case Study
MalikShehadehBraik.html
https___doi.org_10.1007_s11063-021-10530-w https://doi.org/10.1007/s11063-021-10530-w
http___dx.doi.org_10.1007_s11063-021-10530-w http://dx.doi.org/10.1007/s11063-021-10530-w
https___dblp.org_rec_journals_npl_Braik21.bib https://dblp.org/rec/journals/npl/Braik21.bib
Brajer:2012:MIPRO Automated design of combinatorial logic circuits
IvaBrajer.html
DomagojJakobovic.html
http___ieeexplore.ieee.org_xpl_articleDetails.jsp_tp__arnumber_6240757 http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6240757
Brajlih:2005:PMI Compensation of the size of the finished part for the PolyJet rapid prototyping procedure
TomazBrajlih.html
IgorDrstvensek.html
MihaKovacic.html
JozeBalic.html
Brajlih:2006:DAAAM Improving the Accuracy of Rapid Prototyping Procedures by Genetic Programming
TomazBrajlih.html
IgorDrstvensek.html
BValentan.html
JozeBalic.html
http___innomet.ttu.ee_daaam06_proceedings_Production_20Engineering_24brajilih.pdf http://innomet.ttu.ee/daaam06/proceedings/Production%20Engineering/24brajilih.pdf
Brajlih:2006:AMME Optimizing scale factors of the PolyJet rapid prototyping procedure by genetic programming
TomazBrajlih.html
IgorDrstvensek.html
MihaKovacic.html
JozeBalic.html
http___jamme.acmsse.h2.pl_index.php_id_69 http://jamme.acmsse.h2.pl/index.php?id=69
http___157.158.19.167_papers_cams05_167.pdf http://157.158.19.167/papers_cams05/167.pdf
http___www.journalamme.org_papers_cams05_167.pdf http://www.journalamme.org/papers_cams05/167.pdf
oai:CiteSeerPSU:323834 SYSGP -- A C++ library of different GP variants
MarkusBrameier.html
WolfgangKantschik.html
PeterDittrich.html
WolfgangBanzhaf.html
https___eldorado.uni-dortmund.de_bitstream_2003_5345_2_ci4898_doc.pdf https://eldorado.uni-dortmund.de/bitstream/2003/5345/2/ci4898_doc.pdf
http___citeseer.ist.psu.edu_323834.html http://citeseer.ist.psu.edu/323834.html
brameier:1999:PMCGP Parallel Machine Code Genetic Programming
MarkusBrameier.html
FrankHoffmann.html
PeterNordin.html
WolfgangBanzhaf.html
FrankDFrancone.html
http___gpbib.cs.ucl.ac.uk_gecco1999_GP-439.pdf http://gpbib.cs.ucl.ac.uk/gecco1999/GP-439.pdf
http___gpbib.cs.ucl.ac.uk_gecco1999_GP-439.ps http://gpbib.cs.ucl.ac.uk/gecco1999/GP-439.ps
oai:CiteSeerPSU:488546 Effective Linear Genetic Programming
MarkusBrameier.html
WolfgangBanzhaf.html
http___hdl.handle.net_2003_5407 http://hdl.handle.net/2003/5407
http___sfbci.uni-dortmund.de_Publications_Reference_Downloads_BB09052001.pdf http://sfbci.uni-dortmund.de/Publications/Reference/Downloads/BB09052001.pdf
http___citeseer.ist.psu.edu_488546.html http://citeseer.ist.psu.edu/488546.html
http___dx.doi.org_10.17877_DE290R-15250 http://dx.doi.org/10.17877/DE290R-15250
oai:CiteSeerPSU:324837 A Comparison of Genetic Programming and Neural Networks in Medical Data Analysis
MarkusBrameier.html
WolfgangBanzhaf.html
https___eldorado.uni-dortmund.de_dspace_bitstream_2003_5344_2_ci4398_doc.pdf https://eldorado.uni-dortmund.de/dspace/bitstream/2003/5344/2/ci4398_doc.pdf
http___citeseer.ist.psu.edu_324837.html http://citeseer.ist.psu.edu/324837.html
Brameier:2001:TEC A Comparison of Linear Genetic Programming and Neural Networks in Medical Data Mining
MarkusBrameier.html
WolfgangBanzhaf.html
http___web.cs.mun.ca__banzhaf_papers_ieee_taec.pdf http://web.cs.mun.ca/~banzhaf/papers/ieee_taec.pdf
brameier:2001:GPEM Evolving Teams of Predictors with Linear Genetic Programming
MarkusBrameier.html
WolfgangBanzhaf.html
http___web.cs.mun.ca__banzhaf_papers_teams.pdf http://web.cs.mun.ca/~banzhaf/papers/teams.pdf
http___citeseer.ist.psu.edu_508652.html http://citeseer.ist.psu.edu/508652.html
http___citeseer.ist.psu.edu_411995.html http://citeseer.ist.psu.edu/411995.html
http___dx.doi.org_10.1023_A_1012978805372 http://dx.doi.org/10.1023/A:1012978805372
oai:CiteSeerPSU:552561 Explicit Control of Diversity and Effective Variation Distance in Linear Genetic Programming
MarkusBrameier.html
WolfgangBanzhaf.html
http___eldorado.uni-dortmund.de_0x81d98002_0x0004162d http://eldorado.uni-dortmund.de/0x81d98002_0x0004162d
http___eldorado.uni-dortmund.de_8080_bitstream_2003_5419_1_123.pdf http://eldorado.uni-dortmund.de:8080/bitstream/2003/5419/1/123.pdf
http___citeseer.ist.psu.edu_552561.html http://citeseer.ist.psu.edu/552561.html
http___citeseerx.ist.psu.edu_viewdoc_download_doi_10.1.1.383.9067.pdf http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.383.9067.pdf
brameier:2002:EuroGP Explicit Control of Diversity and Effective Variation Distance in Linear Genetic Programming
MarkusBrameier.html
WolfgangBanzhaf.html
http___www.cs.mun.ca__banzhaf_papers_eurogp02_dist.pdf http://www.cs.mun.ca/~banzhaf/papers/eurogp02_dist.pdf
http___dx.doi.org_10.1007_3-540-45984-7_4 http://dx.doi.org/10.1007/3-540-45984-7_4
brameier03 Neutral Variations Cause Bloat in Linear GP
MarkusBrameier.html
WolfgangBanzhaf.html
http___dx.doi.org_10.1007_3-540-36599-0_26 http://dx.doi.org/10.1007/3-540-36599-0_26
B2005OLGP On Linear Genetic Programming
MarkusBrameier.html
https___eldorado.uni-dortmund.de_bitstream_2003_20098_2_Brameierunt.pdf https://eldorado.uni-dortmund.de/bitstream/2003/20098/2/Brameierunt.pdf
https___eldorado.uni-dortmund.de_bitstream_2003_20098_1_Brameier.ps https://eldorado.uni-dortmund.de/bitstream/2003/20098/1/Brameier.ps
oai:biomedcentral.com:1471-2105-7-16 Automatic discovery of cross-family sequence features associated with protein function
MarkusBrameier.html
JosienHaan.html
AndreaKrings.html
RobertMMacCallum.html
http___www.biomedcentral.com_content_pdf_1471-2105-7-16.pdf http://www.biomedcentral.com/content/pdf/1471-2105-7-16.pdf
http___www.biomedcentral.com_1471-2105_7_16 http://www.biomedcentral.com/1471-2105/7/16
http___dx.doi.org_10.1186_1471-2105-7-16 http://dx.doi.org/10.1186/1471-2105-7-16
Brameier:2006:book Linear Genetic Programming
MarkusBrameier.html
WolfgangBanzhaf.html
http___dx.doi.org_10.1007_978-0-387-31030-5 http://dx.doi.org/10.1007/978-0-387-31030-5
NucPred-bioinformatics2007 NucPred Predicting nuclear localization of proteins
MarkusBrameier.html
AndreaKrings.html
RobertMMacCallum.html
http___dx.doi.org_10.1093_bioinformatics_btm066 http://dx.doi.org/10.1093/bioinformatics/btm066
Brameier:2007:BMCbinf Ab initio identification of human microRNAs based on structure motifs
MarkusBrameier.html
CarstenWiuf.html
http___www.biomedcentral.com_content_pdf_1471-2105-8-478.pdf http://www.biomedcentral.com/content/pdf/1471-2105-8-478.pdf
http___dx.doi.org_10.1186_1471-2105-8-478 http://dx.doi.org/10.1186/1471-2105-8-478
Bramerdorfer:2014:ieeeIE Using FE Calculations and Data-Based System Identification Techniques to Model the Nonlinear Behavior of PMSMs
GerdBramerdorfer.html
StephanMWinkler.html
MichaelKommenda.html
GuentherWeidenholzer.html
SiegfriedSilber.html
GabrielKronberger.html
MichaelAffenzeller.html
WolfgangAmrhein.html
http___dx.doi.org_10.1109_TIE.2014.2303785 http://dx.doi.org/10.1109/TIE.2014.2303785
Bramerdorfer:2014:IECON Identification of a nonlinear PMSM model using symbolic regression and its application to current optimization scenarios
GerdBramerdorfer.html
WolfgangAmrhein.html
StephanMWinkler.html
MichaelAffenzeller.html
http___dx.doi.org_10.1109_IECON.2014.7048566 http://dx.doi.org/10.1109/IECON.2014.7048566
Brandejsky:2012:ICCC Nonlinear system identification by GPA-ES
ThomasBrandejsky.html
http___dx.doi.org_10.1109_CarpathianCC.2012.6228616 http://dx.doi.org/10.1109/CarpathianCC.2012.6228616
Brandejsky:2013:CMA Specific modification of a GPA-ES evolutionary system suitable for deterministic chaos regression
TomasBrandejsky.html
http___dx.doi.org_10.1016_j.camwa.2013.01.011 http://dx.doi.org/10.1016/j.camwa.2013.01.011
http___www.sciencedirect.com_science_article_pii_S089812211300028X http://www.sciencedirect.com/science/article/pii/S089812211300028X
Brandejsky:2013:HBO The Use of Local Models Optimized by Genetic Programming Algorithms in Biomedical-Signal Analysis
TomasBrandejsky.html
http___dx.doi.org_10.1007_978-3-642-30504-7_28 http://dx.doi.org/10.1007/978-3-642-30504-7_28
http___dx.doi.org_10.1007_978-3-642-30504-7_28 http://dx.doi.org/10.1007/978-3-642-30504-7_28
http___dx.doi.org_10.1007_978-3-642-30504-7 http://dx.doi.org/10.1007/978-3-642-30504-7
Brandejsky:2018:ICCAIRO Influence of Two Different Crossover Operators Use Onto GPA Efficiency
TomasBrandejsky.html
http___dx.doi.org_10.1109_ICCAIRO.2018.00029 http://dx.doi.org/10.1109/ICCAIRO.2018.00029
brandejsky:2019:CSMMMIS Floating Data Window Movement Influence to Genetic Programming Algorithm Efficiency
TomasBrandejsky.html
http___link.springer.com_chapter_10.1007_978-3-030-31362-3_4 http://link.springer.com/chapter/10.1007/978-3-030-31362-3_4
http___dx.doi.org_10.1007_978-3-030-31362-3_4 http://dx.doi.org/10.1007/978-3-030-31362-3_4
Brandstetter:2012:CIG Reactive control of Ms. Pac Man using Information Retrieval based on Genetic Programming
MatthiasFBrandstetter.html
SamadAhmadi.html
http___dx.doi.org_10.1109_CIG.2012.6374163 http://dx.doi.org/10.1109/CIG.2012.6374163
Branke:EEC:gecco2004 Evolving En-Route Caching Strategies for the Internet
JurgenBranke.html
PabloJFunes.html
FrederikThiele.html
http___dx.doi.org_10.1007_b98645 http://dx.doi.org/10.1007/b98645
http___dx.doi.org_10.1007_978-3-540-24855-2_55 http://dx.doi.org/10.1007/978-3-540-24855-2_55
Branke:2006:ASC Evolutionary design of en-route caching strategies
JurgenBranke.html
PabloJFunes.html
FrederikThiele.html
http___dx.doi.org_10.1016_j.asoc.2006.04.003 http://dx.doi.org/10.1016/j.asoc.2006.04.003
Branke:2010:GECCO GECCO '10: Proceedings of the 12th annual conference on Genetic and evolutionary computation
JurgenBranke.html
MartinPelikan.html
EnriqueAlba.html
DirkVArnold.html
JoshCBongard.html
AnthonyBrabazon.html
JurgenBranke.html
MartinVButz.html
JeffClune.html
MyraCohen.html
KalyanmoyDeb.html
AndriesPEngelbrecht.html
NatalioKrasnogor.html
JulianFMiller.html
MichaelO'Neill.html
KumaraSastry.html
DirkThierens.html
JanoIvanHemert.html
LeonardoVanneschi.html
CarstenWitt.html
http___portal.acm.org_citation.cfm_id_1830483_coll_DL_dl_ACM_CFID_12039329_CFTOKEN_58660565 http://portal.acm.org/citation.cfm?id=1830483&coll=DL&dl=ACM&CFID=12039329&CFTOKEN=58660565
Branke:2015:EC Hyper-heuristic Evolution of Dispatching Rules: A Comparison of Rule Representations
JurgenBranke.html
TorstenHildebrandt.html
BerndScholz-Reiter.html
http___dx.doi.org_10.1162_EVCO_a_00131 http://dx.doi.org/10.1162/EVCO_a_00131
Branke:2015:ieeeTEC Automated Design of Production Scheduling Heuristics: A Review
JurgenBranke.html
SuNguyen.html
ChristophPickardt.html
MengjieZhang.html
http___wrap.warwick.ac.uk_88212_1_WRAP-automated-design-production-scheduling-heuristics-Branke-2015.pdf http://wrap.warwick.ac.uk/88212/1/WRAP-automated-design-production-scheduling-heuristics-Branke-2015.pdf
http___wrap.warwick.ac.uk_88212_ http://wrap.warwick.ac.uk/88212/
http___dx.doi.org_10.1109_TEVC.2015.2429314 http://dx.doi.org/10.1109/TEVC.2015.2429314
Branke:2016:WSC Evolving control rules for a dual-constrained job scheduling scenario
JurgenBranke.html
MatthewJGroves.html
TorstenHildebrandt.html
http___dx.doi.org_10.1109_WSC.2016.7822295 http://dx.doi.org/10.1109/WSC.2016.7822295
Branke:2019:GECCOcomp Simulation optimisation: tutorial
JurgenBranke.html
http___dx.doi.org_10.1145_3319619.3323385 http://dx.doi.org/10.1145/3319619.3323385
branquinho:2023:NEWK SPENSER: Towards a NeuroEvolutionary Approach for Convolutional Spiking Neural Networks
HenriqueBranquinho.html
NunoLourenco.html
ErnestoCosta.html
http___dx.doi.org_10.1145_3583133.3596399 http://dx.doi.org/10.1145/3583133.3596399
Brar:2007:WCE A Fuzzy Entropy Algorithm For Data Extrapolation In Multi-Compressor System
GursewakSBrar.html
YadwinderSinghBrar.html
YaduvirSingh.html
http___www.iaeng.org_publication_WCE2007_WCE2007_pp105-110.pdf http://www.iaeng.org/publication/WCE2007/WCE2007_pp105-110.pdf
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.149.2111 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.149.2111
DBLP:journals/jifs/BrasSW21 Multi-gene genetic programming to building up fuzzy rule-base in Neo-Fuzzy-Neuron networks
GlenderBras.html
AlissonMarquesDaSilva.html
ElizabethFWanner.html
https___doi.org_10.3233_JIFS-202146 https://doi.org/10.3233/JIFS-202146
http___dx.doi.org_10.3233_JIFS-202146 http://dx.doi.org/10.3233/JIFS-202146
https___dblp.org_rec_journals_jifs_BrasSW21.bib https://dblp.org/rec/journals/jifs/BrasSW21.bib
BRAUNE:2022:IJPE A genetic programming learning approach to generate dispatching rules for flexible shop scheduling problems
RolandBraune.html
FrankBenda.html
KarlFDoerner.html
RichardFHartl.html
http___dx.doi.org_10.1016_j.ijpe.2021.108342 http://dx.doi.org/10.1016/j.ijpe.2021.108342
https___www.sciencedirect.com_science_article_pii_S0925527321003182 https://www.sciencedirect.com/science/article/pii/S0925527321003182
brave:1994:recursive Evolution of Planning: Using recursive techniques in Genetic Planning
ScottBrave.html
brave:1994:recursiveGW Using Genetic Programming to Evolve Recursive Programs for Tree Search
ScottBrave.html
brave:1994:mmGW Using Genetic Programming to Evolve Mental Models
ScottBrave.html
brave:1996:aigp2 Evolving Recursive Programs for Tree Search
ScottBrave.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.3.3005 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.3.3005
http___citeseerx.ist.psu.edu_viewdoc_download_doi_10.1.1.3.3005_rep_rep1_type_pdf http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.3.3005&rep=rep1&type=pdf
http___ieeexplore.ieee.org_xpl_articleDetails.jsp_tp__arnumber_6277538 http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6277538
http___dx.doi.org_10.7551_mitpress_1109.003.0015 http://dx.doi.org/10.7551/mitpress/1109.003.0015
brave:1996:dface Evolving Deterministic Finite Automata Using Cellular Encoding
ScottBrave.html
http___citeseer.ist.psu.edu_cache_papers_cs_1745_http_zSzzSzbrave.www.media.mit.eduzSzpeoplezSzbravezSzpublicationszSzautomata.pdf_brave96evolving.pdf http://citeseer.ist.psu.edu/cache/papers/cs/1745/http:zSzzSzbrave.www.media.mit.eduzSzpeoplezSzbravezSzpublicationszSzautomata.pdf/brave96evolving.pdf
http___citeseer.ist.psu.edu_brave96evolving.html http://citeseer.ist.psu.edu/brave96evolving.html
http___cognet.mit.edu_sites_default_files_books_9780262315876_pdfs_9780262315876_chap5.pdf http://cognet.mit.edu/sites/default/files/books/9780262315876/pdfs/9780262315876_chap5.pdf
http___cognet.mit.edu_library_books_view_isbn_0262611279 http://cognet.mit.edu/library/books/view?isbn=0262611279
brave:1996:emmmGP The Evolution of Memory and Mental Models Using Genetic Programming
ScottBrave.html
http___citeseer.ist.psu.edu_cache_papers_cs_1745_http_zSzzSzbrave.www.media.mit.eduzSzpeoplezSzbravezSzpublicationszSzmodels.pdf_brave96evolution.pdf http://citeseer.ist.psu.edu/cache/papers/cs/1745/http:zSzzSzbrave.www.media.mit.eduzSzpeoplezSzbravezSzpublicationszSzmodels.pdf/brave96evolution.pdf
http___cognet.mit.edu_sites_default_files_books_9780262315876_pdfs_9780262315876_chap32.pdf http://cognet.mit.edu/sites/default/files/books/9780262315876/pdfs/9780262315876_chap32.pdf
http___cognet.mit.edu_library_books_view_isbn_0262611279 http://cognet.mit.edu/library/books/view?isbn=0262611279
brave:1999:gecco99lb Late Breaking Papers at the 1999 Genetic and Evolutionary Computation Conference
ScottBrave.html
AnnieSWu.html
Bravi:2017:evoApplications Evolving Game-Specific UCB Alternatives for General Video Game Playing
IvanBravi.html
AhmedAbdelSameaKhalifa.html
ChristofferHolmgard.html
JulianTogelius.html
http___dx.doi.org_10.1007_978-3-319-55849-3_26 http://dx.doi.org/10.1007/978-3-319-55849-3_26
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KarlJBrazier.html
GraemeRichards.html
WenjiaWang.html
http___dx.doi.org_10.1007_b99975 http://dx.doi.org/10.1007/b99975
Bredeche:2009:EA On-Line, On-Board Evolution of Robot Controllers
NicolasBredeche.html
EvertHaasdijk.html
GuszEiben.html
http___www.cs.vu.nl__gusz_papers_2009-bredeche09ea_final2-LNCS.pdf http://www.cs.vu.nl/~gusz/papers/2009-bredeche09ea_final2-LNCS.pdf
http___dx.doi.org_10.1007_978-3-642-14156-0 http://dx.doi.org/10.1007/978-3-642-14156-0
conf/ijcci/BreenO16 Evolving Art using Aesthetic Analogies - Evolutionary Supervised Learning to Generate Art with Grammatical Evolution
AidanPBreen.html
ColmO'Riordan.html
http___dx.doi.org_10.5220_0006048400590068 http://dx.doi.org/10.5220/0006048400590068
RibeiroZV07a An Evolutionary Approach for Performing Structural Unit-Testing on Third-Party Object-Oriented Java Software
JoseCarlosBregieiroRibeiro.html
MarioAlbertoZenha-Rela.html
FranciscoFernandezdeVega.html
http___jcbribeiro.googlepages.com_NICSO2007-053.pdf http://jcbribeiro.googlepages.com/NICSO2007-053.pdf
http___dx.doi.org_10.1007_978-3-540-78987-1_34 http://dx.doi.org/10.1007/978-3-540-78987-1_34
Bregieiro-Ribeiro:2008:JAEM eCrash: a framework for performing evolutionary testing on third-party Java components
JoseCarlosBregieiroRibeiro.html
MarioAlbertoZenha-Rela.html
FranciscoFernandezdeVega.html
http___jcbribeiro.googlepages.com_jribeiro_jaem07.pdf http://jcbribeiro.googlepages.com/jribeiro_jaem07.pdf
Bregieiro-Ribeiro:2008:AST A strategy for evaluating feasible and unfeasible test cases for the evolutionary testing of object-oriented software
JoseCarlosBregieiroRibeiro.html
MarioAlbertoZenha-Rela.html
FranciscoFernandezdeVega.html
http___jcbribeiro.googlepages.com_ast12-ribeiro.pdf http://jcbribeiro.googlepages.com/ast12-ribeiro.pdf
http___dx.doi.org_10.1145_1370042.1370061 http://dx.doi.org/10.1145/1370042.1370061
Bregieiro-Ribeiro:2008:gecco Strongly-typed genetic programming and purity analysis: input domain reduction for evolutionary testing problems
JoseCarlosBregieiroRibeiro.html
MarioAlbertoZenha-Rela.html
FranciscoFernandezdeVega.html
http___gpbib.cs.ucl.ac.uk_gecco2008_docs_p1783.pdf http://gpbib.cs.ucl.ac.uk/gecco2008/docs/p1783.pdf
http___dx.doi.org_10.1145_1389095.1389439 http://dx.doi.org/10.1145/1389095.1389439
Bregieiro-Ribeiro:2008:geccocomp Search-based test case generation for object-oriented java software using strongly-typed genetic programming
JoseCarlosBregieiroRibeiro.html
http___gpbib.cs.ucl.ac.uk_gecco2008_docs_p1819.pdf http://gpbib.cs.ucl.ac.uk/gecco2008/docs/p1819.pdf
http___dx.doi.org_10.1145_1388969.1388979 http://dx.doi.org/10.1145/1388969.1388979
BregieiroRibeiro2009 Test Case Evaluation and Input Domain Reduction Strategies for the Evolutionary Testing of Object-Oriented Software
JoseCarlosBregieiroRibeiro.html
MarioAlbertoZenha-Rela.html
FranciscoFernandezdeVega.html
http___dx.doi.org_10.1016_j.infsof.2009.06.009 http://dx.doi.org/10.1016/j.infsof.2009.06.009
http___www.sciencedirect.com_science_article_B6V0B-4WP47MR-2_2_798c73c2b9c5e1e9389b8a3491eac4f2 http://www.sciencedirect.com/science/article/B6V0B-4WP47MR-2/2/798c73c2b9c5e1e9389b8a3491eac4f2
DBLP:conf/gecco/RibeiroRV09 An adaptive strategy for improving the performance of genetic programming-based approaches to evolutionary testing
JoseCarlosBregieiroRibeiro.html
MarioAlbertoZenha-Rela.html
FranciscoFernandezdeVega.html
http___dx.doi.org_10.1145_1569901.1570253 http://dx.doi.org/10.1145/1569901.1570253
Ribeiro20091534 Test Case Evaluation and Input Domain Reduction strategies for the Evolutionary Testing of Object-Oriented software
JoseCarlosBregieiroRibeiro.html
MarioAlbertoZenha-Rela.html
FranciscoFernandezdeVega.html
http___dx.doi.org_10.1016_j.infsof.2009.06.009 http://dx.doi.org/10.1016/j.infsof.2009.06.009
http___www.sciencedirect.com_science_article_B6V0B-4WP47MR-2_2_798c73c2b9c5e1e9389b8a3491eac4f2 http://www.sciencedirect.com/science/article/B6V0B-4WP47MR-2/2/798c73c2b9c5e1e9389b8a3491eac4f2
Ribeiro:2010:EuroGP Enabling Object Reuse on Genetic Programming-based Approaches to Object-Oriented Evolutionary Testing
JoseCarlosBregieiroRibeiro.html
MarioAlbertoZenha-Rela.html
FranciscoFernandezdeVega.html
http___dx.doi.org_10.1007_978-3-642-12148-7_19 http://dx.doi.org/10.1007/978-3-642-12148-7_19
Bregieiro-Ribeiro:thesis Contributions for Improving Genetic Programming-Based Approaches to the Evolutionary Testing of Object-Oriented Software
JoseCarlosBregieiroRibeiro.html
https___sites.google.com_site_jcbribeiro_jose.ribeiro_phdthesis_final.pdf https://sites.google.com/site/jcbribeiro/jose.ribeiro_phdthesis_final.pdf
https___sites.google.com_site_jcbribeiro_ https://sites.google.com/site/jcbribeiro/
Bregieiro-Ribeiro:2015:hbgpa eCrash: a Genetic Programming-Based Testing Tool for Object-Oriented Software
JoseCarlosBregieiroRibeiro.html
AnaFilipaDelgadoNogueira.html
FranciscoFernandezdeVega.html
MarioAlbertoZenha-Rela.html
http___dx.doi.org_10.1007_978-3-319-20883-1_23 http://dx.doi.org/10.1007/978-3-319-20883-1_23
Bremer:2021:CSIS Towards Evolutionary Emergence
JoergBremer.html
SebastianLehnhoff.html
https___annals-csis.org_Volume_26_pliks_position.pdf https://annals-csis.org/Volume_26/pliks/position.pdf
https___annals-csis.org_proceedings_2021_drp_pdf_111.pdf https://annals-csis.org/proceedings/2021/drp/pdf/111.pdf
http___dx.doi.org_10.15439_2021F111 http://dx.doi.org/10.15439/2021F111
bremer:2022:PAAMS Fully Distributed Cartesian Genetic Programming
JoergBremer.html
SebastianLehnhoff.html
https___rdcu.be_c7nZL https://rdcu.be/c7nZL
http___link.springer.com_chapter_10.1007_978-3-031-18192-4_4 http://link.springer.com/chapter/10.1007/978-3-031-18192-4_4
http___dx.doi.org_10.1007_978-3-031-18192-4_4 http://dx.doi.org/10.1007/978-3-031-18192-4_4
bremer:2023:Systems Enhancing Local Decisions in Agent-Based Cartesian Genetic Programming by CMA-ES
JoergBremer.html
SebastianLehnhoff.html
https___www.mdpi.com_2079-8954_11_4_177 https://www.mdpi.com/2079-8954/11/4/177
http___dx.doi.org_10.3390_systems11040177 http://dx.doi.org/10.3390/systems11040177
Bremner:2010:ICES Evolving Digital Circuits Using Complex Building Blocks
PaulBremner.html
MohammadSamie.html
GabrielDragffy.html
AnthonyPipe.html
JamesAlfredWalker.html
AndrewMTyrrell.html
http___dx.doi.org_10.1007_978-3-642-15323-5_4 http://dx.doi.org/10.1007/978-3-642-15323-5_4
Bremner:2011:EuroGP Evolving Cell Array Configurations Using CGP
PaulBremner.html
MohammadSamie.html
AnthonyPipe.html
GabrielDragffy.html
YangLiu.html
http___dx.doi.org_10.1007_978-3-642-20407-4_7 http://dx.doi.org/10.1007/978-3-642-20407-4_7
Bremner:2011:MOoCCE Multi-Objective Optimisation of Cell-Array Circuit Evolution
PaulBremner.html
MohammadSamie.html
AnthonyPipe.html
AndrewMTyrrell.html
http___dx.doi.org_10.1109_CEC.2011.5949651 http://dx.doi.org/10.1109/CEC.2011.5949651
bressane:2023:Pollutants Spatiotemporal Effect of Land Use on Water Quality in a Peri-Urban Watershed in a Brazilian Metropolitan Region: An Approach Considering GEP-Based Artificial Intelligence
AdrianoBressane.html
AnnaIsabelSilvaLoureiro.html
RaissaCarolineGomes.html
AdmilsonIrioRibeiro.html
ReginaMarciaLongo.html
RogerioGalanteNegri.html
https___www.mdpi.com_2673-4672_3_1_1 https://www.mdpi.com/2673-4672/3/1/1
http___dx.doi.org_10.3390_pollutants3010001 http://dx.doi.org/10.3390/pollutants3010001
breunig:1995:LIPRGP Location Independent Pattern Recognition using Genetic Programming
MarkusMBreunig.html
http___www.dbs.informatik.uni-muenchen.de__breunig_HomepageResearch_Papers_PatternRecog.pdf http://www.dbs.informatik.uni-muenchen.de/~breunig/HomepageResearch/Papers/PatternRecog.pdf
Brezocnik:1997:DAAAM System for discovering and optimizung mathematical models using genetic programming and genetic algorithms
MiranBrezocnik.html
JozeBalic.html
Brezocnik:1997:ICDMMI Comparison of genetic programming with genetic algorithm
MiranBrezocnik.html
JozeBalic.html
Brezocnik:1998:IAD A genetic programming approach for modelling of self-organizing assembly systems
MiranBrezocnik.html
JozeBalic.html
http___www.amazon.co.uk_Intelligent-Assembly-Disassembly-IAD-Proceedings_dp_0080430422 http://www.amazon.co.uk/Intelligent-Assembly-Disassembly-IAD-Proceedings/dp/0080430422
http___trove.nla.gov.au_version_44951526 http://trove.nla.gov.au/version/44951526
Brezocnik:thesis MODELING OF TECHNOLOGICAL SYSTEMS BY THE USE OF GENETIC METHODS
MiranBrezocnik.html
Brezocnik:2000:JTP Artificial intelligence approach to determination of flow curve
MiranBrezocnik.html
JozeBalic.html
LeoGusel.html
Brezocnik:book Uporaba genetskega programiranja v inteligentnih proizvodnih sistemih
MiranBrezocnik.html
http___www.isbns.net_isbn_9788643503065_ http://www.isbns.net/isbn/9788643503065/
http___www.worldcat.org_title_uporaba-genetskega-programiranja-v-inteligentnih-proizvodnih-sistemih_oclc_444489491 http://www.worldcat.org/title/uporaba-genetskega-programiranja-v-inteligentnih-proizvodnih-sistemih/oclc/444489491
Brezocnik:2001:MPT Modeling of forming efficiency using genetic programming
MiranBrezocnik.html
JozeBalic.html
ZlatkoKampus.html
http___www.sciencedirect.com_science_article_B6TGJ-423HM9M-5_1_bcc93a13fbb04521236d3a8e16f8850b http://www.sciencedirect.com/science/article/B6TGJ-423HM9M-5/1/bcc93a13fbb04521236d3a8e16f8850b
http___dx.doi.org_10.1016_S0924-0136_00_00783-4 http://dx.doi.org/10.1016/S0924-0136(00)00783-4
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MiranBrezocnik.html
JozeBalic.html
http___dx.doi.org_10.1016_S0736-5845_00_00044-2 http://dx.doi.org/10.1016/S0736-5845(00)00044-2
http___www.sciencedirect.com_science_article_B6V4P-42DP1Y1-J_1_175033beb3ddb787b75c22253e5534c2 http://www.sciencedirect.com/science/article/B6V4P-42DP1Y1-J/1/175033beb3ddb787b75c22253e5534c2
Brezocnik:2001:RIM Survey of the evolutionary computation and its application in manufacturing systems
MiranBrezocnik.html
MihaKovacic.html
Brezocnik:2002:JIM Genetic programming approach to determining of metal materials properties
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JozeBalic.html
KarlKuzman.html
http___dx.doi.org_10.1023_A_1013693828052 http://dx.doi.org/10.1023/A:1013693828052
Brezocnik:2002:AMME Prediction of surface roughness with genetic programming
MiranBrezocnik.html
MihaKovacic.html
Brezocnik:2002:DAAAM On intelligent learning systems for next-generation manufacturing
MiranBrezocnik.html
http___www.daaam.com_ http://www.daaam.com/
Brezocnik:TMT2002 Integrated evolutionary computation environment for optimizing and modeling of manufacturing processes
MiranBrezocnik.html
MihaKovacic.html
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Brezocnik:2003:RCIM Emergence of intelligence in next-generation manufacturing systems
MiranBrezocnik.html
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Brezocnik:2003:DAAAM Modelling of intelligent mobility for next-generation manufacturing systems
MiranBrezocnik.html
MihaKovacic.html
Brezocnik:2003:tmt Genetic-based approach to predict surface roughness in end milling
MiranBrezocnik.html
MihaKovacic.html
MirkoFicko.html
Brezocnik:2004:AJME Intelligent systems for next-generation manufacturing
MiranBrezocnik.html
MihaKovacic.html
MirkoFicko.html
http___www.worldcat.org_title_intelligent-systems-for-next-generation-manufacturing_oclc_440013859 http://www.worldcat.org/title/intelligent-systems-for-next-generation-manufacturing/oclc/440013859
Brezocnik:2004:IJAMT Predicting stress distribution in cold-formed material with genetic programming
MiranBrezocnik.html
LeoGusel.html
http___dx.doi.org_10.1007_s00170-003-1649-3 http://dx.doi.org/10.1007/s00170-003-1649-3
Brezocnik:2004:TMT Genetic based approach to predict surface roughness
MiranBrezocnik.html
MirkoFicko.html
MihaKovacic.html
http___cobiss.izum.si_scripts_cobiss_command_DISPLAY_base_COBIB_RID_9009686 http://cobiss.izum.si/scripts/cobiss?command=DISPLAY&base=COBIB&RID=9009686
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Brezocnik:2004:JMPT Prediction of surface roughness with genetic programming
MiranBrezocnik.html
MihaKovacic.html
MirkoFicko.html
http___dx.doi.org_10.1016_j.jmatprotec.2004.09.004 http://dx.doi.org/10.1016/j.jmatprotec.2004.09.004
Mechatronics2004_Abstract_026 Genetic Programming Approach for Autonomous Vehicles
MihaKovacic.html
MiranBrezocnik.html
JozeBalic.html
http___mechatronics.atilim.edu.tr_mechatronics2004_papers_Mechatronics2004_Abstract_026.pdf http://mechatronics.atilim.edu.tr/mechatronics2004/papers/Mechatronics2004_Abstract_026.pdf
brezocnik_2004_AJME Programming CNC measuring machines by genetic algorithms
MiranBrezocnik.html
MihaKovacic.html
JozeBalic.html
BogdanSovilj.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_brezocnik_2004_AJME.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/brezocnik_2004_AJME.pdf
Brezocnik:2003:MMP Integrated genetic programming and genetic algorithm approach to predict surface roughness
MiranBrezocnik.html
MihaKovacic.html
http___dx.doi.org_10.1081_AMP-120022023 http://dx.doi.org/10.1081/AMP-120022023
Brezocnik:2005:RIM Cost estimation for punch dies by genetic programming
MiranBrezocnik.html
BostjanVaupotic.html
JanezFridrih.html
IvoPahole.html
brezocnik:2005:MMP Comparison Between Genetic Algorithm and Genetic Programming Approach for Modeling the Stress Distribution
MiranBrezocnik.html
MihaKovacic.html
LeoGusel.html
http___journalsonline.tandf.co.uk_openurl.asp_genre_article_issn_1042-6914_volume_20_issue_3_spage_497 http://journalsonline.tandf.co.uk/openurl.asp?genre=article&issn=1042-6914&volume=20&issue=3&spage=497
http___dx.doi.org_10.1081_AMP-200053541 http://dx.doi.org/10.1081/AMP-200053541
Brezocnik:2006:AMME Prediction of steel machinability by genetic programming
MiranBrezocnik.html
MihaKovacic.html
MatejPsenicnik.html
http___jamme.acmsse.h2.pl_index.php_id_69 http://jamme.acmsse.h2.pl/index.php?id=69
http___157.158.19.167_papers_cams05_1123.pdf http://157.158.19.167/papers_cams05/1123.pdf
brezocnik:2021:Metals Optimization of the Continuous Casting Process of Hypoeutectoid Steel Grades Using Multiple Linear Regression and Genetic Programming--An Industrial Study
MiranBrezocnik.html
UrosZuperl.html
https___www.mdpi.com_2075-4701_11_6_972 https://www.mdpi.com/2075-4701/11/6/972
http___dx.doi.org_10.3390_met11060972 http://dx.doi.org/10.3390/met11060972
briesch:2023:GECCOcomp On the Trade-Off between Population Size and Number of Generations in GP for Program Synthesis
MartinBriesch.html
DominikSobania.html
FranzRothlauf.html
http___dx.doi.org_10.1145_3583133.3590681 http://dx.doi.org/10.1145/3583133.3590681
Briggs:2006:ASPGP Functional genetic programming with combinators
ForrestSBriggs.html
MelissaEO'Neill.html
http___sc.snu.ac.kr_courses_2006_fall_pg_aai_GP_forrest_fsb-meo-combs.pdf http://sc.snu.ac.kr/courses/2006/fall/pg/aai/GP/forrest/fsb-meo-combs.pdf
http___gpbib.cs.ucl.ac.uk_aspgp06_fsb-meo-combs.pdf http://gpbib.cs.ucl.ac.uk/aspgp06/fsb-meo-combs.pdf
Briggs:2008:IJKBIES Functional Genetic Programming and Exhaustive Program Search with Combinator Expressions
ForrestSBriggs.html
MelissaEO'Neill.html
http___content.iospress.com_articles_international-journal-of-knowledge-based-and-intelligent-engineering-systems_kes00140 http://content.iospress.com/articles/international-journal-of-knowledge-based-and-intelligent-engineering-systems/kes00140
http___dx.doi.org_10.3233_KES-2008-12105 http://dx.doi.org/10.3233/KES-2008-12105
briney+karpinski:2003:gecco:workshop An Interdisciplinary Investigation of the Evolution and Maintenance of Conditional Strategies in Chthamalus anisopoma, using Genetic Programming and a Quantitative Genetic Model
KristinBriney.html
TodKarpinski.html
Brinster:2012:APSURSI Evaluation of stochastic algorithm performance on antenna optimization benchmarks
IrinaBrinster.html
PhilippeDeWagter.html
JasonLohn.html
http___dx.doi.org_10.1109_APS.2012.6348758 http://dx.doi.org/10.1109/APS.2012.6348758
brock:1994:ers Evolving Reusable Subroutines for Genetic Programming
OliverBrock.html
http___robotics.stanford.edu_users_oli_PAPERS_a-life.ps http://robotics.stanford.edu/users/oli/PAPERS/a-life.ps
http___citeseer.ist.psu.edu_156902.html http://citeseer.ist.psu.edu/156902.html
Broersma:2017:miller Evolution in Nanomaterio: The NASCENCE Project
HajoBroersma.html
http___dx.doi.org_10.1007_978-3-319-67997-6_4 http://dx.doi.org/10.1007/978-3-319-67997-6_4
journals/corr/abs-2005-13110 Evolutionary NAS with Gene Expression Programming of Cellular Encoding
CliffordBroni-Bediako.html
YukiMurata.html
LuizHenriqueBarbosaMormille.html
MasayasuAtsumi.html
https___arxiv.org_abs_2005.13110 https://arxiv.org/abs/2005.13110
Broni-Bediako:2020:SSCI Evolutionary NAS with Gene Expression Programming of Cellular Encoding
ClifordBroni-Bediako.html
YukiMurata.html
LuizHenriqueBarbosaMormille.html
MasayasuAtsumi.html
http___dx.doi.org_10.1109_SSCI47803.2020.9308346 http://dx.doi.org/10.1109/SSCI47803.2020.9308346
Brookhouse:2014:GECCOcomp Working with OpenCL to speed up a genetic programming financial forecasting algorithm: initial results
JamesBrookhouse.html
FernandoEstebanBarrilOtero.html
MichaelKampouridis.html
https___kar.kent.ac.uk_42144_ https://kar.kent.ac.uk/42144/
http___doi.acm.org_10.1145_2598394.2605689 http://doi.acm.org/10.1145/2598394.2605689
http___dx.doi.org_10.1145_2598394.2605689 http://dx.doi.org/10.1145/2598394.2605689
Brooks92RR9 Artificial Life and Real Robots
RodneyABrooks.html
http___people.csail.mit.edu_brooks_papers_real-robots.pdf http://people.csail.mit.edu/brooks/papers/real-robots.pdf
Brotto-Rebuli:2021:EuroGP Progressive Insular Cooperative GP
KarinaBrottoRebuli.html
LeonardoVanneschi.html
http___dx.doi.org_10.1007_978-3-030-72812-0_2 http://dx.doi.org/10.1007/978-3-030-72812-0_2
rebuli:2022:GECCOcomp A preliminary study of Prediction Interval Methods with Genetic Programming
KarinaBrottoRebuli.html
MarioGiacobini.html
NiccoloTallone.html
LeonardoVanneschi.html
http___dx.doi.org_10.1145_3520304.3528806 http://dx.doi.org/10.1145/3520304.3528806
Brotto-Rebuli:2022:WIVACE Single and Multi-objective Genetic Programming Methods for Prediction Intervals
KarinaBrottoRebuli.html
MarioGiacobini.html
NiccoloTallone.html
LeonardoVanneschi.html
http___dx.doi.org_10.1007_978-3-031-31183-3_17 http://dx.doi.org/10.1007/978-3-031-31183-3_17
brotto-rebuli:2023:GECCOcomp A Comparison of Structural Complexity Metrics for Explainable Genetic Programming
KarinaBrottoRebuli.html
MarioGiacobini.html
SaraSilva.html
LeonardoVanneschi.html
https___novaresearch.unl.pt_en_publications_a-comparison-of-structural-complexity-metrics-for-explainable-gen https://novaresearch.unl.pt/en/publications/a-comparison-of-structural-complexity-metrics-for-explainable-gen
https___novaresearch.unl.pt_files_67865641_Comparison_Structural_Complexity_Metrics_for_Explainable_Genetic_Programming.pdf https://novaresearch.unl.pt/files/67865641/Comparison_Structural_Complexity_Metrics_for_Explainable_Genetic_Programming.pdf
http___dx.doi.org_10.1145_3583133.3590595 http://dx.doi.org/10.1145/3583133.3590595
broughton:1998:e3DwlsGPwww Exploring 3D design worlds using Lindenmayer systems and Genetic Programming
TBroughton.html
PaulSCoates.html
HelenJackson.html
broughton:1999:e3DwlsGPwww Exploring Three-dimensional design worlds using Lindenmeyer Systems and Genetic Programming
TBroughton.html
PaulSCoates.html
HelenJackson.html
http___www.cs.ucl.ac.uk_staff_P.Bentley_evdes.html http://www.cs.ucl.ac.uk/staff/P.Bentley/evdes.html
http___hdl.handle.net_10552_856 http://hdl.handle.net/10552/856
brown:1997:GPsoccer AI, Teamwork is Goal of Robot Soccer Tourney
JanelleBrown.html
Brown:2010:ANNIE Using Evolvable Regressors to Partition Data
JosephAlexanderBrown.html
DanielAshlock.html
http___www.uoguelph.ca__jbrown16_EvolRegress.pdf http://www.uoguelph.ca/~jbrown16/EvolRegress.pdf
https___asmedigitalcollection.asme.org_ebooks_book_149_chapter-abstract_30383_Using-Evolvable-Regressors-to-Partition-Data https://asmedigitalcollection.asme.org/ebooks/book/149/chapter-abstract/30383/Using-Evolvable-Regressors-to-Partition-Data
http___dx.doi.org_10.1115_1.859599.paper24 http://dx.doi.org/10.1115/1.859599.paper24
Brown:thesis Regression and Classification from Extinction
JosephAlexanderBrown.html
http___hdl.handle.net_10214_7793 http://hdl.handle.net/10214/7793
https___atrium.lib.uoguelph.ca_xmlui_handle_10214_7793 https://atrium.lib.uoguelph.ca/xmlui/handle/10214/7793
https___atrium.lib.uoguelph.ca_xmlui_bitstream_handle_10214_7793_Brown_Joseph_201401_PhD.pdf https://atrium.lib.uoguelph.ca/xmlui/bitstream/handle/10214/7793/Brown_Joseph_201401_PhD.pdf
http___genealogy.math.ndsu.nodak.edu_id.php_id_188278 http://genealogy.math.ndsu.nodak.edu/id.php?id=188278
Brown:2017:GP_Diablo Tile Based Genetic Programming Generation for Diablo-like games
JosephAlexanderBrown.html
ValtchanValtchanov.html
http___www.procjam.com_seeds_issues_2.pdf http://www.procjam.com/seeds/issues/2.pdf
Brown:2010:JCP Efficient hybrid evolutionary optimization of interatomic potential models
WMichaelBrown.html
AidanPThompson.html
PeterASchultz.html
http___dx.doi.org_10.1063_1.3294562 http://dx.doi.org/10.1063/1.3294562
CameronBrowne:thesis Automatic Generation and Evaluation of Recombination Games
CameronBrowne.html
http___www.cameronius.com_cv_publications_thesis-2.47.zip http://www.cameronius.com/cv/publications/thesis-2.47.zip
CameronBrowne:book Evolutionary Game Design
CameronBrowne.html
http___www.springer.com_computer_ai_book_978-1-4471-2178-7 http://www.springer.com/computer/ai/book/978-1-4471-2178-7
http___dx.doi.org_10.1007_978-1-4471-2179-4 http://dx.doi.org/10.1007/978-1-4471-2179-4
Browne:2012:ICGA.Yavalath Yavalath: Sample chapter from Evolutionary Game Design
CameronBrowne.html
https___chessprogramming.wikispaces.com_ICGA_Journal https://chessprogramming.wikispaces.com/ICGA+Journal
Browne_2012_sigevolution Evolutionary Game Design: Automated Game Design Comes of Age
CameronBrowne.html
http___www.sigevolution.org_issues_pdf_SIGEVOlution0602.pdf http://www.sigevolution.org/issues/pdf/SIGEVOlution0602.pdf
browne:1996:bsc Vision-Based Obstacle Avoidance: A Coevolutionary Approach
DavidGBrowne.html
http___www.csse.monash.edu.au_hons_projects_1996_David.Browne_ http://www.csse.monash.edu.au/hons/projects/1996/David.Browne/
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Browne:2010:ACISC Adaptive Representations for Improving Evolvability, Parameter Control, and Parallelization of Gene Expression Programming
NigelPABrowne.html
MarcusViniciusdosSantos.html
http___downloads.hindawi.com_journals_acisc_2010_409045.pdf http://downloads.hindawi.com/journals/acisc/2010/409045.pdf
http___dx.doi.org_10.1155_2010_409045 http://dx.doi.org/10.1155/2010/409045
Browne:2016:GECCOcomp Code Fragments: Past and Future use in Transfer Learning
WillNBrowne.html
http___dx.doi.org_10.1145_2908961.2931737 http://dx.doi.org/10.1145/2908961.2931737
Brownlee:2017:ieeeETCI Search-Based Energy Optimization of Some Ubiquitous Algorithms
AlexanderEIBrownlee.html
NathanBurles.html
JerrySwan.html
http___eprints.whiterose.ac.uk_117916_1_07935484_1.pdf http://eprints.whiterose.ac.uk/117916/1/07935484_1.pdf
http___dx.doi.org_10.1109_TETCI.2017.2699193 http://dx.doi.org/10.1109/TETCI.2017.2699193
Brownlee:2018:GECCOcomp Relating training instances to automatic design of algorithms for bin packing via features
AlexanderEIBrownlee.html
JohnRWoodward.html
NadarajenVeerapen.html
http___dx.doi.org_10.1145_3205651.3205748 http://dx.doi.org/10.1145/3205651.3205748
Brownlee:2019:GECCO Gin: genetic improvement research made easy
AlexanderEIBrownlee.html
JustynaPetke.html
BradAlexander.html
EarlBarr.html
MarkusWagner.html
DavidRobertWhite.html
https___cs.adelaide.edu.au_users_markus_pub_2019gecco-gintool.pdf https://cs.adelaide.edu.au/users/markus/pub/2019gecco-gintool.pdf
http___dx.doi.org_10.1145_3321707.3321841 http://dx.doi.org/10.1145/3321707.3321841
Brownlee:2020:CEC Injecting Shortcuts for Faster Running Java Code
AlexanderEIBrownlee.html
JustynaPetke.html
AnnaFRasburn.html
http___geneticimprovementofsoftware.com_paper_pdfs_E-24667.pdf http://geneticimprovementofsoftware.com/paper_pdfs/E-24667.pdf
https___dspace.stir.ac.uk_bitstream_1893_30963_1_InjectingShortcutsCEC2020.pdf https://dspace.stir.ac.uk/bitstream/1893/30963/1/InjectingShortcutsCEC2020.pdf
http___hdl.handle.net_1893_30963 http://hdl.handle.net/1893/30963
http___dx.doi.org_10.1109_CEC48606.2020.9185708 http://dx.doi.org/10.1109/CEC48606.2020.9185708
Brownlee:2021:GI Exploring the Accuracy -- Energy Trade-off in Machine Learning
AlexanderEIBrownlee.html
JasonAdair.html
SaemundurOskarHaraldsson.html
JohnJabbo.html
https___geneticimprovementofsoftware.com_paper_pdfs_gi2021icse_brownlee_gi-icse_2021.pdf https://geneticimprovementofsoftware.com/paper_pdfs/gi2021icse/brownlee_gi-icse_2021.pdf
https___www.youtube.com_watch_v_bap72BF9vZw_list_PLI8fiFpB7BoKDaxvS7SQp0iA7fN7rrvDD_index_7 https://www.youtube.com/watch?v=bap72BF9vZw&list=PLI8fiFpB7BoKDaxvS7SQp0iA7fN7rrvDD&index=7
https___www.youtube.com_watch_v_tgRV-AsVYko_list_PLI8fiFpB7BoKDaxvS7SQp0iA7fN7rrvDD_index_8 https://www.youtube.com/watch?v=tgRV-AsVYko&list=PLI8fiFpB7BoKDaxvS7SQp0iA7fN7rrvDD&index=8
https___www.youtube.com_watch_v_tB3IWHT4FT4_list_PLXTjhGKkSnI-se7uQneCX-pEDiDrQ7TIS_index_4 https://www.youtube.com/watch?v=tB3IWHT4FT4&list=PLXTjhGKkSnI-se7uQneCX-pEDiDrQ7TIS&index=4
http___dx.doi.org_10.1109_GI52543.2021.00011 http://dx.doi.org/10.1109/GI52543.2021.00011
Brownlee:2021:SEN Genetic Improvement @ ICSE 2021: Personal reflection of a Workshop Participant
AlexanderEIBrownlee.html
https___doi.org_10.1145_3485952.3485960 https://doi.org/10.1145/3485952.3485960
http___dx.doi.org_10.1145_3485952.3485960 http://dx.doi.org/10.1145/3485952.3485960
Brownlee:2023:SSBSE Enhancing Genetic Improvement Mutations Using Large Language Models
AlexanderEIBrownlee.html
JamesCallan.html
KarineEven-Mendoza.html
AlinaGeiger.html
CarolHanna.html
JustynaPetke.html
FedericaSarro.html
DominikSobania.html
https___arxiv.org_pdf_2310.19813.pdf https://arxiv.org/pdf/2310.19813.pdf
https___kclpure.kcl.ac.uk_portal_en_publications_enhancing-genetic-improvement-mutations-using-large-language-mode https://kclpure.kcl.ac.uk/portal/en/publications/enhancing-genetic-improvement-mutations-using-large-language-mode
https___doi.org_10.5281_zenodo.8304433 https://doi.org/10.5281/zenodo.8304433
http___github.com_gintool_gin http://github.com/gintool/gin
http___dx.doi.org_10.1007_978-3-031-48796-5_13 http://dx.doi.org/10.1007/978-3-031-48796-5_13
bruce2015reducing Reducing Energy Consumption Using Genetic Improvement
BobbyRBruce.html
JustynaPetke.html
MarkHarman.html
http___www.cs.ucl.ac.uk_staff_J.Petke_papers_Bruce_2015_GECCO.pdf http://www.cs.ucl.ac.uk/staff/J.Petke/papers/Bruce_2015_GECCO.pdf
http___doi.acm.org_10.1145_2739480.2754752 http://doi.acm.org/10.1145/2739480.2754752
http___dx.doi.org_10.1145_2739480.2754752 http://dx.doi.org/10.1145/2739480.2754752
Bruce:2015:gi Energy Optimisation via Genetic Improvement A SBSE technique for a new era in Software Development
BobbyRBruce.html
http___gpbib.cs.ucl.ac.uk_gi2015_energy_optimisation_via_genetic_improvement.pdf http://gpbib.cs.ucl.ac.uk/gi2015/energy_optimisation_via_genetic_improvement.pdf
http___doi.acm.org_10.1145_2739482.2768420 http://doi.acm.org/10.1145/2739482.2768420
http___dx.doi.org_10.1145_2739482.2768420 http://dx.doi.org/10.1145/2739482.2768420
Bruce:2016:sigevolution A Report on the Genetic Improvement Workshop@GECCO 2016
BobbyRBruce.html
http___www.sigevolution.org_issues_pdf_SIGEVOlution0902.pdf http://www.sigevolution.org/issues/pdf/SIGEVOlution0902.pdf
http___dx.doi.org_10.1145_3066157.3066159 http://dx.doi.org/10.1145/3066157.3066159
Bruce:2016:SSBSE Deep Parameter Optimisation for Face Detection Using the Viola-Jones Algorithm in OpenCV
BobbyRBruce.html
JonathanMAitken.html
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bruce:RN1701 Approximate Oracles and Synergy in Software Energy Search Spaces
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bruce:RN1707 Deep Parameter Optimisation for Face Detection Using the Viola-Jones Algorithm in OpenCV : A Correction
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Bruce:RN1804 Towards automatic generation and insertion of OpenACC directives
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bruce_bobby_r_thesis The Blind Software Engineer: Improving the Non-Functional Properties of Software by Means of Genetic Improvement
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Bruce:TSE Approximate Oracles and Synergy in Software Energy Search Spaces
BobbyRBruce.html
JustynaPetke.html
MarkHarman.html
EarlBarr.html
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Bruce:2022:GI Automatically Exploring Computer System Design Spaces
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bruce:1996:agOOpGP Automatic Generation of Object-Oriented Programs Using Genetic Programming
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http___cognet.mit.edu_library_books_view_isbn_0262611279 http://cognet.mit.edu/library/books/view?isbn=0262611279
bruce:thesis The Application of Genetic Programming to the Automatic Generation of Object-Oriented Programs
WilkerShaneBruce.html
https___nsuworks.nova.edu_gscis_etd_430_ https://nsuworks.nova.edu/gscis_etd/430/
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bruce:1997:lprsbGPADF The Lawnmower Problem Revisited: Stack-Based Genetic Programming and Automatically Defined Functions
WilkerShaneBruce.html
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brucherseifer:2001:EuroGP An Indirect Block-Oriented Representation for Genetic Programming
EvaBrucherseifer.html
PeterBechtel.html
StephanFreyer.html
PeterMarenbach.html
http___dx.doi.org_10.1007_3-540-45355-5_21 http://dx.doi.org/10.1007/3-540-45355-5_21
Brucherseifer:thesis Der Artbegriff in der Genetischen Programmierung
EvaBrucherseifer.html
http___tubiblio.ulb.tu-darmstadt.de_54187_ http://tubiblio.ulb.tu-darmstadt.de/54187/
https___www.amazon.com_Artbegriff-Genetischen-Programmierung_dp_3832299424 https://www.amazon.com/Artbegriff-Genetischen-Programmierung/dp/3832299424
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bruhn:2002:ECJ Genetic Programming over Context-Free Languages with Linear Constraints for the Knapsack Problem: First Results
PeterBruhn.html
AndreasGeyer-Schulz.html
http___dx.doi.org_10.1162_106365602317301772 http://dx.doi.org/10.1162/106365602317301772
Brule:2016:ArXiv Evolving Shepherding Behavior with Genetic Programming Algorithms
JoshuaBrule.html
KevinEngel.html
NicholasFung.html
IsaacJulien.html
http___arxiv.org_abs_1603.06141 http://arxiv.org/abs/1603.06141
Brum:2018:evocop Automatic Algorithm Configuration for the Permutation Flow Shop Scheduling Problem Minimizing Total Completion Time
ArturFerreiraBrum.html
MarcusRitt.html
http___dx.doi.org_10.1007_978-3-319-77449-7_6 http://dx.doi.org/10.1007/978-3-319-77449-7_6
Brum:thesis Automatic Algorithm Configuration for Flow Shop Scheduling Problems
ArturFerreiraBrum.html
https___www.inf.ufrgs.br_site_eventos_evento_tese-de-doutorado-de-artur-ferreira-brum_ https://www.inf.ufrgs.br/site/eventos/evento/tese-de-doutorado-de-artur-ferreira-brum/
http___hdl.handle.net_10183_213705 http://hdl.handle.net/10183/213705
https___lume.ufrgs.br_handle_10183_213705 https://lume.ufrgs.br/handle/10183/213705
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Brumby:1999:SPIE Investigation of image feature extraction by a genetic algorithm
StevenPBrumby.html
JamesTheiler.html
SimonPerkins.html
NealRHarvey.html
JohnJSzymanski.html
JeffreyJBloch.html
MelanieMitchell.html
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http___web.cecs.pdx.edu__mm_spie3812.pdf http://web.cecs.pdx.edu/~mm/spie3812.pdf
http___dx.doi.org_10.1117_12.367697 http://dx.doi.org/10.1117/12.367697
Brumby:2000:SPIE A genetic algorithm for combining new and existing image processing tools for multispectral imagery
StevenPBrumby.html
NealRHarvey.html
SimonPerkins.html
ReidBPorter.html
JohnJSzymanski.html
JamesTheiler.html
JeffreyJBloch.html
http___spiedigitallibrary.org_data_Conferences_SPIEP_35048_480_1.pdf http://spiedigitallibrary.org/data/Conferences/SPIEP/35048/480_1.pdf
http___dx.doi.org_10.1117_12.410371 http://dx.doi.org/10.1117/12.410371
Brumby:2001:SPIE Evolving forest fire burn severity classification algorithms for multi-spectral imagery
StevenPBrumby.html
JeffreyJBloch.html
NealRHarvey.html
JamesTheiler.html
SimonPerkins.html
ACodyYoung.html
JohnJSzymanski.html
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Brumby:2001:FUSION Genetic programming approach to extracting features from remotely sensed imagery
StevenPBrumby.html
JamesTheiler.html
SimonPerkins.html
NealRHarvey.html
JohnJSzymanski.html
http___public.lanl.gov_perkins_webdocs_brumbyFUSION2001.pdf http://public.lanl.gov/perkins/webdocs/brumbyFUSION2001.pdf
oai:CiteSeerPSU:445835 Evolving land cover classification algorithms for multispectral and multitemporal imagery
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JamesTheiler.html
JeffreyJBloch.html
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SimonPerkins.html
JohnJSzymanski.html
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Brun:2013:TR Evolution vs. Intelligent Design in Program Patching
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EarlBarr.html
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PremkumarDevanbu.html
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Brunello:2023:ACC Monitors That Learn From Failures: Pairing STL and Genetic Programming
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DarioDellaMonica.html
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http___dx.doi.org_10.1109_ACCESS.2023.3277620 http://dx.doi.org/10.1109/ACCESS.2023.3277620
BRUNS:2019:ESA Learning of complex event processing rules with genetic programming
RalfBruns.html
JurgenDunkel.html
NormanOffel.html
http___dx.doi.org_10.1016_j.eswa.2019.04.007 http://dx.doi.org/10.1016/j.eswa.2019.04.007
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DavidMBryson.html
CharlesOfria.html
https___doi.org_10.1162_978-0-262-31050-5-ch003 https://doi.org/10.1162/978-0-262-31050-5-ch003
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http___dx.doi.org_10.1162_978-0-262-31050-5-ch003 http://dx.doi.org/10.1162/978-0-262-31050-5-ch003
BUCCHERI2021108722 Artificial intelligence in health data analysis: The Darwinian evolution theory suggests an extremely simple and zero-cost large-scale screening tool for prediabetes and type 2 diabetes
EnricoBuccheri.html
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https___pubmed.ncbi.nlm.nih.gov_33647331_ https://pubmed.ncbi.nlm.nih.gov/33647331/
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https___www.sciencedirect.com_science_article_pii_S2451847622000100 https://www.sciencedirect.com/science/article/pii/S2451847622000100
http___dx.doi.org_10.1016_j.obmed.2022.100398 http://dx.doi.org/10.1016/j.obmed.2022.100398
BUCHNER:2020:IFAC-PapersOnLine An Artificial-Intelligence-Based Method to Automatically Create Interpretable Models from Data Targeting Embedded Control Applications
JensSBuchner.html
SebastianBoblest.html
PatrickEngel.html
AndrejJunginger.html
HolgerUlmer.html
http___dx.doi.org_10.1016_j.ifacol.2020.12.887 http://dx.doi.org/10.1016/j.ifacol.2020.12.887
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ThomasBuchsbaum.html
SiegfriedVossner.html
http___dx.doi.org_10.1007_11729976_27 http://dx.doi.org/10.1007/11729976_27
Buchsbaum:2007:cec Toward a Winning GP Strategy for Continuous Nonlinear Dynamical System Identification
ThomasBuchsbaum.html
http___dx.doi.org_10.1109_CEC.2007.4424616 http://dx.doi.org/10.1109/CEC.2007.4424616
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ThomasBuchsbaum.html
https___online.tugraz.at_tug_online_pl_ui__ctx_lang_DE_wbAbs.showThesis_pThesisNr_24591_pOrgNr_13706 https://online.tugraz.at/tug_online/pl/ui/$ctx;lang=DE/wbAbs.showThesis?pThesisNr=24591&pOrgNr=13706
https___graz.elsevierpure.com_en_publications_improvement-of-evolutionary-computation-approaches-for-continuous https://graz.elsevierpure.com/en/publications/improvement-of-evolutionary-computation-approaches-for-continuous
Buckingham:2015:JH Inductive machine learning for improved estimation of catchment-scale snow water equivalent
DavidBuckingham.html
ChristianSkalka.html
JoshCBongard.html
http___dx.doi.org_10.1016_j.jhydrol.2015.02.042 http://dx.doi.org/10.1016/j.jhydrol.2015.02.042
http___www.sciencedirect.com_science_article_pii_S0022169415001547 http://www.sciencedirect.com/science/article/pii/S0022169415001547
Buckley:2010:Chiong An Application of Genetic Programming to Forecasting Foreign Exchange Rates
MuneerBuckley.html
ZbigniewMichalewicz.html
RalfZurbruegg.html
http___hdl.handle.net_2440_54525 http://hdl.handle.net/2440/54525
http___dx.doi.org_10.4018_978-1-60566-705-8 http://dx.doi.org/10.4018/978-1-60566-705-8
Buckley:2009:niiiakd An Application of Genetic Programming to Forecasting Foreign Exchange Rates
MuneerBuckley.html
ZbigniewMichalewicz.html
RalfZurbruegg.html
http___www.igi-global.com_bookstore_chapter.aspx_titleid_36310 http://www.igi-global.com/bookstore/chapter.aspx?titleid=36310
http___hdl.handle.net_2440_54525 http://hdl.handle.net/2440/54525
Bucur:2014:ASC The impact of topology on energy consumption for collection tree protocols: An experimental assessment through evolutionary computation
DoinaBucur.html
GiovanniIacca.html
GiovanniSquillero.html
AlbertoTonda.html
http___www.sciencedirect.com_science_article_pii_S1568494613004213 http://www.sciencedirect.com/science/article/pii/S1568494613004213
http___dx.doi.org_10.1016_j.asoc.2013.12.002 http://dx.doi.org/10.1016/j.asoc.2013.12.002
Buffoni:2018:ICCC All-Implicants Neural Networks for Efficient Boolean Function Representation
FedericoBuffoni.html
GabrieleGianini.html
ErnestoDamiani.html
MichaelGranitzer.html
http___dx.doi.org_10.1109_ICCC.2018.00019 http://dx.doi.org/10.1109/ICCC.2018.00019
bui:286 Water Resource Engineers and Environmental Hydraulics
TaiDBui.html
AlanASmith.html
http___link.aip.org_link__ASC_111_286_1 http://link.aip.org/link/?ASC/111/286/1
http___dx.doi.org_10.1061_40569_2001_286 http://dx.doi.org/10.1061/40569(2001)286
Bui:1997:s8p Solving the 8-Puzzle with Genetic Programming
ThaiBui.html
Buk:2009:ICANNGA NEAT in HyperNEAT Substituted with Genetic Programming
ZdenekBuk.html
JanKoutnik.html
MiroslavSnorek.html
http___dx.doi.org_10.1007_978-3-642-04921-7_25 http://dx.doi.org/10.1007/978-3-642-04921-7_25
Bukhtoyarov:2010:cec Comprehensive evolutionary approach for neural network ensemble automatic design
VladimirViktorovichBukhtoyarov.html
OlgaESemenkina.html
http___dx.doi.org_10.1109_CEC.2010.5586516 http://dx.doi.org/10.1109/CEC.2010.5586516
bukhtoyarov:2021:Computation Design of Computational Models for Hydroturbine Units Based on a Nonparametric Regression Approach with Adaptation by Evolutionary Algorithms
VladimirViktorovichBukhtoyarov.html
VadimSergeevichTynchenko.html
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http___dx.doi.org_10.3390_computation9080083 http://dx.doi.org/10.3390/computation9080083
bukhtoyarov:2023:Electronics A Study on a Probabilistic Method for Designing Artificial Neural Networks for the Formation of Intelligent Technology Assemblies with High Variability
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Bull:2009:eurogp On Dynamical Genetic Programming: Random Boolean Networks in Learning Classifier Systems
LarryBull.html
RichardPreen.html
http___dx.doi.org_10.1007_978-3-642-01181-8_4 http://dx.doi.org/10.1007/978-3-642-01181-8_4
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LarryBull.html
http___dx.doi.org_10.1080_17445760802660387 http://dx.doi.org/10.1080/17445760802660387
Bull:2017:miller Chemical Computing Through Simulated Evolution
LarryBull.html
RitaToth.html
ChrisStone.html
BenDeLacyCostello.html
AndrewAdamatzky.html
http___dx.doi.org_10.1007_978-3-319-67997-6_13 http://dx.doi.org/10.1007/978-3-319-67997-6_13
buontempo:2005:CIM Genetic Programming for the Induction of Decision Trees to Model Ecotoxicity Data
FrancesVBuontempo.html
XueZhongWang.html
MulaishoMwense.html
NigelHoran.html
AnitaYoung.html
DanielOsborn.html
http___dx.doi.org_10.1021_ci049652n http://dx.doi.org/10.1021/ci049652n
Burakov:2013:IJICA Solving variational and Cauchy problems with self-configuring genetic programming algorithm
SergeiVBurakov.html
EugeneSemenkin.html
http___dx.doi.org_10.1504_IJICA.2013.055931 http://dx.doi.org/10.1504/IJICA.2013.055931
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RobertBurbidge.html
http___users.aber.ac.uk_rvb_wssec-rb-final.pdf http://users.aber.ac.uk/rvb/wssec-rb-final.pdf
Burbidge:2009:TAROS A Grammar for Evolution of a Robot Controller
RobertBurbidge.html
JoanneHWalker.html
MyraSWilson.html
http___isrc.ulster.ac.uk_images_stories_publications_report-series_TAROS_2009.pdf http://isrc.ulster.ac.uk/images/stories/publications/report-series/TAROS_2009.pdf
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RobertBurbidge.html
JoanneHWalker.html
MyraSWilson.html
http___dx.doi.org_10.1109_IROS.2009.5354411 http://dx.doi.org/10.1109/IROS.2009.5354411
Burbidge:2014:IS Vector-valued function estimation by grammatical evolution for autonomous robot control
RobertBurbidge.html
MyraSWilson.html
http___dx.doi.org_10.1016_j.ins.2013.09.044 http://dx.doi.org/10.1016/j.ins.2013.09.044
http___www.sciencedirect.com_science_article_pii_S0020025513006920 http://www.sciencedirect.com/science/article/pii/S0020025513006920
Burger:2011:SAICSIT Does Chomsky complexity affect genetic programming computational requirements?
ClaytonBurger.html
MathysCDuPlessis.html
http___dx.doi.org_10.1145_2072221.2072226 http://dx.doi.org/10.1145/2072221.2072226
Burgess:2001:IST Can genetic programming improve software effort estimation? A comparative evaluation
ColinJBurgess.html
MartinLefley.html
http___www.sciencedirect.com_science_article_B6V0B-44D4196-7_1_20f45986fc0a4827ad09169178379d73 http://www.sciencedirect.com/science/article/B6V0B-44D4196-7/1/20f45986fc0a4827ad09169178379d73
http___dx.doi.org_10.1016_S0950-5849_01_00192-6 http://dx.doi.org/10.1016/S0950-5849(01)00192-6
http___www.cs.bris.ac.uk_Publications_pub_info.jsp_id_1000586 http://www.cs.bris.ac.uk/Publications/pub_info.jsp?id=1000586
2000240 Can Genetic Programming improve Software Effort Estimation? A Comparative Evaluation
ColinJBurgess.html
MartinLefley.html
burgess:1999:faasdeGP Finding Approximate Analytic Solutions To Differential Equations Using Genetic Programming
GlennBurgess.html
http___www.dsto.defence.gov.au_corporate_reports_DSTO-TR-0838.pdf http://www.dsto.defence.gov.au/corporate/reports/DSTO-TR-0838.pdf
Burgin:2010:cec Bounded and periodic evolutionary machines
MarkBurgin.html
EugeneEberbach.html
http___dx.doi.org_10.1109_CEC.2010.5586271 http://dx.doi.org/10.1109/CEC.2010.5586271
Burian:2013:AE Reduction of fitness calculations in Cartesian Genetic Programming
PetrBurian.html
http___ieeexplore.ieee.org_xpl_articleDetails.jsp_tp__arnumber_6636478 http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6636478
Burian:2014:ICSES Fast detection of active genes in Cartesian Genetic Programming
PetrBurian.html
http___dx.doi.org_10.1109_ICSES.2014.6948721 http://dx.doi.org/10.1109/ICSES.2014.6948721
Burian:2014:AE Compact version of Cartesian Genetic Programming
PetrBurian.html
http___dx.doi.org_10.1109_AE.2014.7011669 http://dx.doi.org/10.1109/AE.2014.7011669
burjorjee:1999:GAGGS Genetic Algorithms Go to Grade School
KekiMBurjorjee.html
burke:2002:gecco A Survey And Analysis Of Diversity Measures In Genetic Programming
EdmundBurke.html
StevenMGustafson.html
GrahamKendall.html
http___www.cs.nott.ac.uk__smg_research_publications_gecco-diversity-2002.ps http://www.cs.nott.ac.uk/~smg/research/publications/gecco-diversity-2002.ps
http___www.cs.nott.ac.uk__smg_research_publications_gecco-diversity-2002.pdf http://www.cs.nott.ac.uk/~smg/research/publications/gecco-diversity-2002.pdf
http___gpbib.cs.ucl.ac.uk_gecco2002_GP125.ps http://gpbib.cs.ucl.ac.uk/gecco2002/GP125.ps
http___gpbib.cs.ucl.ac.uk_gecco2002_GP125.pdf http://gpbib.cs.ucl.ac.uk/gecco2002/GP125.pdf
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_gecco2002_gecco-2002-14.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/gecco2002/gecco-2002-14.pdf
burke:ppsn2002:pp341 Advanced Population Diversity Measures in Genetic Programming
EdmundBurke.html
StevenMGustafson.html
GrahamKendall.html
NatalioKrasnogor.html
http___www.gustafsonresearch.com_research_publications_ppsn-2002.pdf http://www.gustafsonresearch.com/research/publications/ppsn-2002.pdf
http___www.cs.nott.ac.uk__smg_research_publications_ppsn-2002.ps http://www.cs.nott.ac.uk/~smg/research/publications/ppsn-2002.ps
http___www.cs.nott.ac.uk__smg_research_publications_ppsn-2002.pdf http://www.cs.nott.ac.uk/~smg/research/publications/ppsn-2002.pdf
http___slater.chem.nott.ac.uk__natk_Public_PAPERS_gp-ppsn2002.ps.Z http://slater.chem.nott.ac.uk/~natk/Public/PAPERS/gp-ppsn2002.ps.Z
http___citeseer.ist.psu.edu_529057.html http://citeseer.ist.psu.edu/529057.html
http___dx.doi.org_10.1007_3-540-45712-7_33 http://dx.doi.org/10.1007/3-540-45712-7_33
burke:2003:gecco Ramped Half-n-Half Initialisation Bias in GP
EdmundBurke.html
StevenMGustafson.html
GrahamKendall.html
http___www.cs.nott.ac.uk__smg_research_publications_gecco-poster-2003.ps http://www.cs.nott.ac.uk/~smg/research/publications/gecco-poster-2003.ps
http___www.cs.nott.ac.uk__smg_research_publications_gecco-poster-2003.pdf http://www.cs.nott.ac.uk/~smg/research/publications/gecco-poster-2003.pdf
http___dx.doi.org_10.1007_3-540-45110-2_71 http://dx.doi.org/10.1007/3-540-45110-2_71
1277273 Automatic heuristic generation with genetic programming: evolving a jack-of-all-trades or a master of one
EdmundBurke.html
MatthewRHyde.html
GrahamKendall.html
JohnRWoodward.html
http___gpbib.cs.ucl.ac.uk_gecco2007_docs_p1559.pdf http://gpbib.cs.ucl.ac.uk/gecco2007/docs/p1559.pdf
http___dx.doi.org_10.1145_1276958.1277273 http://dx.doi.org/10.1145/1276958.1277273
Burke:2007:cec The Scalability of Evolved on Line Bin Packing Heuristics
EdmundBurke.html
MatthewRHyde.html
GrahamKendall.html
JohnRWoodward.html
http___dx.doi.org_10.1109_CEC.2007.4424789 http://dx.doi.org/10.1109/CEC.2007.4424789
Burke2013 Hyper-heuristics: a survey of the state of the art
EdmundBurke.html
MichelGendreau.html
MatthewRHyde.html
GrahamKendall.html
GabrielaOchoa.html
EnderOzcan.html
RongQu.html
http___www.cs.nott.ac.uk__rxq_files_HHSurveyJORS2013.pdf http://www.cs.nott.ac.uk/~rxq/files/HHSurveyJORS2013.pdf
http___dx.doi.org_10.1057_jors.2013.71 http://dx.doi.org/10.1057/jors.2013.71
Burke:PPSN:2006 Evolving Bin Packing Heuristics with Genetic Programming
EdmundBurke.html
MatthewRHyde.html
GrahamKendall.html
http___www.cs.nott.ac.uk__mvh_ppsn2006.pdf http://www.cs.nott.ac.uk/~mvh/ppsn2006.pdf
http___dx.doi.org_10.1007_11844297_87 http://dx.doi.org/10.1007/11844297_87
Burke:2010:HBMH A Classification of Hyper-heuristics Approaches
EdmundBurke.html
MatthewRHyde.html
GrahamKendall.html
GabrielaOchoa.html
EnderOzcan.html
JohnRWoodward.html
http___www.cs.nott.ac.uk__gxo_papers_ChapterClassHH.pdf http://www.cs.nott.ac.uk/~gxo/papers/ChapterClassHH.pdf
http___dx.doi.org_10.1007_978-1-4419-1665-5_15 http://dx.doi.org/10.1007/978-1-4419-1665-5_15
Burke:2011:ieeeTEC Grammatical Evolution of Local Search Heuristics
EdmundBurke.html
MatthewRHyde.html
GrahamKendall.html
http___dx.doi.org_10.1109_TEVC.2011.2160401 http://dx.doi.org/10.1109/TEVC.2011.2160401
Burks:2015:GECCO An Efficient Structural Diversity Technique for Genetic Programming
ArmandRBurks.html
WilliamFPunch.html
http___doi.acm.org_10.1145_2739480.2754649 http://doi.acm.org/10.1145/2739480.2754649
http___dx.doi.org_10.1145_2739480.2754649 http://dx.doi.org/10.1145/2739480.2754649
Burks:2016:GPTP An Investigation of Hybrid Structural and Behavioral Diversity Methods in Genetic Programming
ArmandRBurks.html
WilliamFPunch.html
https___www.springer.com_us_book_9783319970875 https://www.springer.com/us/book/9783319970875
http___dx.doi.org_10.1007_978-3-319-97088-2_2 http://dx.doi.org/10.1007/978-3-319-97088-2_2
Burks:2016:GPEM An analysis of the genetic marker diversity algorithm for genetic programming
ArmandRBurks.html
WilliamFPunch.html
http___dx.doi.org_10.1007_s10710-016-9281-9 http://dx.doi.org/10.1007/s10710-016-9281-9
Burks:thesis Hybrid Structural and Behavioral Diversity Techniques for Effective Genetic Programming
ArmandRBurks.html
https___search.proquest.com_docview_1952843117 https://search.proquest.com/docview/1952843117
https___d.lib.msu.edu_etd_6744_datastream_OBJ_View_ https://d.lib.msu.edu/etd/6744/datastream/OBJ/View/
https___doi.org_doi_10.25335_M5527Z https://doi.org/doi:10.25335/M5527Z
Burks:2018:GECCO Genetic programming for tuberculosis screening from raw X-ray images
ArmandRBurks.html
WilliamFPunch.html
http___dx.doi.org_10.1145_3205455.3205461 http://dx.doi.org/10.1145/3205455.3205461
Burlacu:2012:EMSS Evolution Tracking in Genetic Programming
BogdanBurlacu.html
MichaelAffenzeller.html
MichaelKommenda.html
StephanMWinkler.html
GabrielKronberger.html
http___research.fh-ooe.at_en_publication_3444 http://research.fh-ooe.at/en/publication/3444
http___research.fh-ooe.at_files_publications_3444_EMSS_2012_Burlacu.pdf http://research.fh-ooe.at/files/publications/3444_EMSS_2012_Burlacu.pdf
conf/eurocast/BurlacuAK13 On the Evolutionary Behavior of Genetic Programming with Constants Optimization
BogdanBurlacu.html
MichaelAffenzeller.html
MichaelKommenda.html
http___dx.doi.org_10.1007_978-3-642-53856-8_36 http://dx.doi.org/10.1007/978-3-642-53856-8_36
http___dx.doi.org_10.1007_978-3-642-53856-8_36 http://dx.doi.org/10.1007/978-3-642-53856-8_36
Burlacu:2013:GECCOcomp Visualization of genetic lineages and inheritance information in genetic programming
BogdanBurlacu.html
MichaelAffenzeller.html
MichaelKommenda.html
StephanMWinkler.html
GabrielKronberger.html
http___dx.doi.org_10.1145_2464576.2482714 http://dx.doi.org/10.1145/2464576.2482714
Burlacu:2015:APCASE Building Blocks Identification Based on Subtree Sample Counts for Genetic Programming
BogdanBurlacu.html
MichaelKommenda.html
MichaelAffenzeller.html
http___dx.doi.org_10.1109_APCASE.2015.34 http://dx.doi.org/10.1109/APCASE.2015.34
DBLP:conf/eurocast/BurlacuAK15 On the Effectiveness of Genetic Operations in Symbolic Regression
BogdanBurlacu.html
MichaelAffenzeller.html
MichaelKommenda.html
https___doi.org_10.1007_978-3-319-27340-2_46 https://doi.org/10.1007/978-3-319-27340-2_46
http___dx.doi.org_10.1007_978-3-319-27340-2_46 http://dx.doi.org/10.1007/978-3-319-27340-2_46
https___dblp.org_rec_bib_conf_eurocast_BurlacuAK15 https://dblp.org/rec/bib/conf/eurocast/BurlacuAK15
series/sci/BurlacuAWKK15 Methods for Genealogy and Building Block Analysis in Genetic Programming
BogdanBurlacu.html
MichaelAffenzeller.html
StephanMWinkler.html
MichaelKommenda.html
GabrielKronberger.html
http___dx.doi.org_10.1007_978-3-319-15720-7 http://dx.doi.org/10.1007/978-3-319-15720-7
http___dx.doi.org_10.1007_978-3-319-15720-7_5 http://dx.doi.org/10.1007/978-3-319-15720-7_5
DBLP:conf/eurocast/BurlacuAKKW17 Analysis of Schema Frequencies in Genetic Programming
BogdanBurlacu.html
MichaelAffenzeller.html
MichaelKommenda.html
GabrielKronberger.html
StephanMWinkler.html
https___doi.org_10.1007_978-3-319-74718-7_52 https://doi.org/10.1007/978-3-319-74718-7_52
http___dx.doi.org_10.1007_978-3-319-74718-7_52 http://dx.doi.org/10.1007/978-3-319-74718-7_52
https___dblp.org_rec_bib_conf_eurocast_BurlacuAKKW17 https://dblp.org/rec/bib/conf/eurocast/BurlacuAKKW17
burlacu2018schema Schema Analysis in Tree-Based Genetic Programming
BogdanBurlacu.html
MichaelAffenzeller.html
MichaelKommenda.html
GabrielKronberger.html
StephanMWinkler.html
https___link.springer.com_chapter_10.1007_978-3-319-90512-9_2 https://link.springer.com/chapter/10.1007/978-3-319-90512-9_2
http___dx.doi.org_10.1007_978-3-319-90512-9_2 http://dx.doi.org/10.1007/978-3-319-90512-9_2
Burlacu:thesis Tracing of Evolutionary Search Trajectories in Complex Hypothesis Spaces
BogdanBurlacu.html
https___epub.jku.at_obvulihs_content_titleinfo_2246376 https://epub.jku.at/obvulihs/content/titleinfo/2246376
https___epub.jku.at_obvulihs_download_pdf_2246376 https://epub.jku.at/obvulihs/download/pdf/2246376
https___epub.jku.at_obvulihs_download_pdf_2246376.pdf https://epub.jku.at/obvulihs/download/pdf/2246376.pdf
Burlacu:2019:EUROCAST Hash-Based Tree Similarity and Simplification in Genetic Programming for Symbolic Regression
BogdanBurlacu.html
LukasKammerer.html
MichaelAffenzeller.html
GabrielKronberger.html
http___dx.doi.org_10.1007_978-3-030-45093-9_44 http://dx.doi.org/10.1007/978-3-030-45093-9_44
Burlacu:2018:GECCO Schema-based diversification in genetic programming
BogdanBurlacu.html
MichaelAffenzeller.html
http___dx.doi.org_10.1145_3205455.3205594 http://dx.doi.org/10.1145/3205455.3205594
Burlacu:2019:CEC Online Diversity Control in Symbolic Regression via a Fast Hash-based Tree Similarity Measure
BogdanBurlacu.html
MichaelAffenzeller.html
GabrielKronberger.html
MichaelKommenda.html
http___dx.doi.org_10.1109_CEC.2019.8790162 http://dx.doi.org/10.1109/CEC.2019.8790162
Burlacu:2019:GECCOcomp Parsimony measures in multi-objective genetic programming for symbolic regression
BogdanBurlacu.html
GabrielKronberger.html
MichaelKommenda.html
MichaelAffenzeller.html
http___dx.doi.org_10.1145_3319619.3322087 http://dx.doi.org/10.1145/3319619.3322087
Burlacu:2020:GECCOcomp Operon C++: An Efficient Genetic Programming Framework for Symbolic Regression
BogdanBurlacu.html
GabrielKronberger.html
MichaelKommenda.html
https___doi.org_10.1145_3377929.3398099 https://doi.org/10.1145/3377929.3398099
http___dx.doi.org_10.1145_3377929.3398099 http://dx.doi.org/10.1145/3377929.3398099
https___github.com_heal-research_operon https://github.com/heal-research/operon
burlacu:NC Population diversity and inheritance in genetic programming for symbolic regression
BogdanBurlacu.html
KaifengYang.html
MichaelAffenzeller.html
https___rdcu.be_c7n0f https://rdcu.be/c7n0f
http___link.springer.com_article_10.1007_s11047-022-09934-x http://link.springer.com/article/10.1007/s11047-022-09934-x
http___dx.doi.org_10.1007_s11047-022-09934-x http://dx.doi.org/10.1007/s11047-022-09934-x
Swan:2015:gi Embedded Dynamic Improvement
NathanBurles.html
JerrySwan.html
EdwardBowles.html
AlexanderEIBrownlee.html
ZoltanKocsis.html
NadarajenVeerapen.html
http___gpbib.cs.ucl.ac.uk_gi2015_embedded_dynamic_improvement.pdf http://gpbib.cs.ucl.ac.uk/gi2015/embedded_dynamic_improvement.pdf
http___doi.acm.org_10.1145_2739482.2768423 http://doi.acm.org/10.1145/2739482.2768423
http___dx.doi.org_10.1145_2739482.2768423 http://dx.doi.org/10.1145/2739482.2768423
Burles:2015:SSBSE Object-Oriented Genetic Improvement for Improved Energy Consumption in Google Guava
NathanBurles.html
EdwardBowles.html
AlexanderEIBrownlee.html
ZoltanKocsis.html
JerrySwan.html
NadarajenVeerapen.html
https___dspace.stir.ac.uk_bitstream_1893_22227_1_SSBSE15-oogiiecgg.pdf https://dspace.stir.ac.uk/bitstream/1893/22227/1/SSBSE15-oogiiecgg.pdf
http___hdl.handle.net_1893_22227 http://hdl.handle.net/1893/22227
http___dx.doi.org_10.1007_978-3-319-22183-0_20 http://dx.doi.org/10.1007/978-3-319-22183-0_20
Burles:2015:SSBSEa Specialising Guava's Cache to Reduce Energy Consumption
NathanBurles.html
EdwardBowles.html
BobbyRBruce.html
KomsanSrivisut.html
http___www.cs.ucl.ac.uk_staff_R.Bruce_Burles2015Specialising.pdf http://www.cs.ucl.ac.uk/staff/R.Bruce/Burles2015Specialising.pdf
http___dx.doi.org_10.1007_978-3-319-22183-0_23 http://dx.doi.org/10.1007/978-3-319-22183-0_23
Burling-Claridge:2016:CEC Evolutionary Algorithms for Classification of Mammographic Densities using Local Binary Patterns and Statistical Features
FrancineBurling-Claridge.html
MuhammadIqbal.html
MengjieZhang.html
http___dx.doi.org_10.1109_CEC.2016.7744277 http://dx.doi.org/10.1109/CEC.2016.7744277
burnett:2017:CEC Exploring the landscape of the space of heuristics for local search in SAT
AndrewWBurnett.html
AndrewJParkes.html
http___dx.doi.org_10.1109_CEC.2017.7969611 http://dx.doi.org/10.1109/CEC.2017.7969611
Burrow:thesis Hybridising evolution and temporal difference learning
PeterBurrow.html
http___ethos.bl.uk_OrderDetails.do_uin_uk.bl.ethos.572783 http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.572783
busch:2002:EuroGP Automatic Generation of Control Programs for Walking Robots Using Genetic Programming
JensBusch.html
JensZiegler.html
WolfgangBanzhaf.html
AndreeRoss.html
DanielSawitzki.html
ChristianAue.html
http___ls2-www.cs.uni-dortmund.de__sawitzki_AGoCPfWRUGP_Proc.pdf http://ls2-www.cs.uni-dortmund.de/~sawitzki/AGoCPfWRUGP_Proc.pdf
http___dx.doi.org_10.1007_3-540-45984-7_25 http://dx.doi.org/10.1007/3-540-45984-7_25
oai:CiteSeerPSU:572931 Genetically Induced Communication Network Fault Tolerance
StephenFBush.html
AmitBKulkarni.html
http___www.crd.ge.com__bushsf_ftn_GE-SFI-AdaptiveSecurity.pdf http://www.crd.ge.com/~bushsf/ftn/GE-SFI-AdaptiveSecurity.pdf
http___citeseer.ist.psu.edu_572931.html http://citeseer.ist.psu.edu/572931.html
1005412 Genetically induced communication network fault tolerance
StephenFBush.html
http___dx.doi.org_10.1002_cplx.20002 http://dx.doi.org/10.1002/cplx.20002
http___www.crd.ge.com__bushsf_pdfpapers_ComplexityJournal.pdf http://www.crd.ge.com/~bushsf/pdfpapers/ComplexityJournal.pdf
bush:evows05 Can neural network constraints in GP provide power to detect genes associated with human disease?
WilliamSBush.html
AlisonAMotsinger.html
ScottMDudek.html
MarylynDRitchie.html
https___rdcu.be_dEt3y https://rdcu.be/dEt3y
http___dx.doi.org_10.1007_978-3-540-32003-6_5 http://dx.doi.org/10.1007/978-3-540-32003-6_5
http___dx.doi.org_10.1007_b106856 http://dx.doi.org/10.1007/b106856
butler:1995:eddie EDDIE Beats the Bookies
JamesMButler.html
EdwardPKTsang.html
http___cswww.essex.ac.uk_CSP_papers_CSM-259.ps.Z http://cswww.essex.ac.uk/CSP/papers/CSM-259.ps.Z
http___citeseer.ist.psu.edu_tsang98eddie.html http://citeseer.ist.psu.edu/tsang98eddie.html
conf/ai/ButlerK09a Optimizing a Pseudo Financial Factor Model with Support Vector Machines and Genetic Programming
MatthewButler.html
VladoKeselj.html
http___dx.doi.org_10.1007_978-3-642-01818-3_21 http://dx.doi.org/10.1007/978-3-642-01818-3_21
Buttler:GPEM Artificial intelligence for fashion, Leanne Luce, Apress 2019, ISBN 978-1-4842-3930-8 how AI is revolutionizing the fashion industry
GraceButtler.html
https___rdcu.be_cAfT5 https://rdcu.be/cAfT5
http___dx.doi.org_10.1007_s10710-021-09422-8 http://dx.doi.org/10.1007/s10710-021-09422-8
buxton:2001:MC Data Fusion by Intelligent Classifier Combination
BernardBuxton.html
WilliamBLangdon.html
SJBarrett.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_mc_ http://www.cs.ucl.ac.uk/staff/W.Langdon/mc/
http___www.cs.ucl.ac.uk_staff_W.Langdon_mc_buxton_2001_MC.prn.gz http://www.cs.ucl.ac.uk/staff/W.Langdon/mc/buxton_2001_MC.prn.gz
http___mac.sagepub.com_content_34_8_229 http://mac.sagepub.com/content/34/8/229
http___dx.doi.org_10.1177_002029400103400802 http://dx.doi.org/10.1177/002029400103400802
buxton:2002:rocket Intelligent Data Analysis and Fusion Techniques in Pharmaceuticals, Bioprocessing and Process Control
BernardBuxton.html
SBHolden.html
PhilipTreleaven.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_rocket_EPSRC-final-report.htm http://www.cs.ucl.ac.uk/staff/W.Langdon/rocket/EPSRC-final-report.htm
Buzdalov:2011:GECCOcomp Generation of tests for programming challenge tasks using evolution algorithms
MaximBuzdalov.html
http___dx.doi.org_10.1145_2001858.2002086 http://dx.doi.org/10.1145/2001858.2002086
Buzdalov:2012:GECCOcomp Evolving EFSMs solving a path-planning problem by genetic programming
MaximBuzdalov.html
AndreySokolov.html
http___dx.doi.org_10.1145_2330784.2330880 http://dx.doi.org/10.1145/2330784.2330880
Buzzanca:2016:CNA Evaluating the community partition quality of a network with a genetic programming approach
MarcoBuzzanca.html
VincenzaCarchiolo.html
AlessandroLongheu.html
MicheleGiuseppeMalgeri.html
GiuseppeMangioni.html
http___dx.doi.org_10.1007_978-3-319-50901-3_24 http://dx.doi.org/10.1007/978-3-319-50901-3_24
Byers:2011:GECCO Digital enzymes: agents of reaction inside robotic controllers for the foraging problem
ChadMByers.html
BettyHCCheng.html
PhilipKMcKinley.html
http___dx.doi.org_10.1145_2001576.2001610 http://dx.doi.org/10.1145/2001576.2001610
Byrne:2009:cec Analysis of Constant Creation Techniques on the Binomial-3 Problem with Grammatical Evolution
JonathanByrne.html
MichaelO'Neill.html
ErikHemberg.html
AnthonyBrabazon.html
http___dx.doi.org_10.1109_CEC.2009.4982996 http://dx.doi.org/10.1109/CEC.2009.4982996
DBLP:conf/gecco/ByrneOB09 Structural and nodal mutation in grammatical evolution
JonathanByrne.html
MichaelO'Neill.html
AnthonyBrabazon.html
http___dx.doi.org_10.1145_1569901.1570215 http://dx.doi.org/10.1145/1569901.1570215
Byrne:2010:EuroGP An Analysis of the Behaviour of Mutation in Grammatical Evolution
JonathanByrne.html
JamesMcDermott.html
MichaelO'Neill.html
AnthonyBrabazon.html
http___dx.doi.org_10.1007_978-3-642-12148-7_2 http://dx.doi.org/10.1007/978-3-642-12148-7_2
byrne_etal:cec2010 Implementing an Intuitive Mutation Operator for Interactive Evolutionary 3D Design
JonathanByrne.html
JamesMcDermott.html
EdgarGalvanLopez.html
MichaelO'Neill.html
http___dx.doi.org_10.1109_CEC.2010.5586485 http://dx.doi.org/10.1109/CEC.2010.5586485
byrne:evoapps11 Combining Structural Analysis and Multi-Objective Criteria for Evolutionary Architectural Design
JonathanByrne.html
MichaelFenton.html
ErikHemberg.html
JamesMcDermott.html
MichaelO'Neill.html
ElizabethShotton.html
CiaranNally.html
http___dx.doi.org_10.1007_978-3-642-20520-0_21 http://dx.doi.org/10.1007/978-3-642-20520-0_21
ByrneHembergONeill:TechReport052011 Interactive Operators for Evolutionary Architectural Design
JonathanByrne.html
ErikHemberg.html
MichaelO'Neill.html
http___www.csi.ucd.ie_files_UCD-CSI-2011-05.pdf http://www.csi.ucd.ie/files/UCD-CSI-2011-05.pdf
Byrne:2011:GECCOcomp Interactive operators for evolutionary architectural design
JonathanByrne.html
ErikHemberg.html
MichaelO'Neill.html
http___dx.doi.org_10.1145_2001858.2001884 http://dx.doi.org/10.1145/2001858.2001884
Byrne:2012:EvoMUSART A Local Search Interface for Interactive Evolutionary Architectural Design
JonathanByrne.html
ErikHemberg.html
AnthonyBrabazon.html
MichaelO'Neill.html
http___dx.doi.org_10.1007_978-3-642-29142-5_3 http://dx.doi.org/10.1007/978-3-642-29142-5_3
JonathanByrneThesis Approaches to Evolutionary Architectural Design Exploration Using Grammatical Evolution
JonathanByrne.html
https___rms.ucd.ie_ufrs__W_VA_PUB_BOOK.EDIT_POPUP_TRUE_object_id_368144095 https://rms.ucd.ie/ufrs/!W_VA_PUB_BOOK.EDIT?POPUP=TRUE&object_id=368144095
http___ncra.ucd.ie_papers_JonathanByrneThesis.pdf http://ncra.ucd.ie/papers/JonathanByrneThesis.pdf
Byrne:2013:GPEM A methodology for user directed search in evolutionary design
JonathanByrne.html
ErikHemberg.html
MichaelO'Neill.html
AnthonyBrabazon.html
http___dx.doi.org_10.1007_s10710-013-9189-6 http://dx.doi.org/10.1007/s10710-013-9189-6
byrne:eaauapds:2014 Evolving an Aircraft Using a Parametric Design System
JonathanByrne.html
PhillipCardiff.html
AnthonyBrabazon.html
MichaelO'Neill.html
http___dx.doi.org_10.1007_978-3-662-44335-4_11 http://dx.doi.org/10.1007/978-3-662-44335-4_11
byrne:aeosiagrn:cec2014 An Examination of Synchronisation in Artificial Gene Regulatory Networks
JonathanByrne.html
MiguelNicolau.html
AnthonyBrabazon.html
MichaelO'Neill.html
http___dx.doi.org_10.1109_CEC.2014.6900385 http://dx.doi.org/10.1109/CEC.2014.6900385
Byrne:2014:IS Optimising complex pylon structures with grammatical evolution
JonathanByrne.html
MichaelFenton.html
ErikHemberg.html
JamesMcDermott.html
MichaelO'Neill.html
http___dx.doi.org_10.1016_j.ins.2014.03.010 http://dx.doi.org/10.1016/j.ins.2014.03.010
http___www.sciencedirect.com_science_article_pii_S0020025514002904 http://www.sciencedirect.com/science/article/pii/S0020025514002904
byrne:epamfdeao:2014 Evolving Parametric Aircraft Models for Design Exploration and Optimisation
JonathanByrne.html
PhillipCardiff.html
AnthonyBrabazon.html
MichaelO'Neill.html
http___dx.doi.org_10.1016_j.neucom.2014.04.004 http://dx.doi.org/10.1016/j.neucom.2014.04.004
http___www.sciencedirect.com_science_article_pii_S092523121400530X http://www.sciencedirect.com/science/article/pii/S092523121400530X
Cabalar:2010:NCA Constitutive modeling of Leighton Buzzard Sands using genetic programming
AliFiratCabalar.html
AbdulkadirCevik.html
IbrahimHGuzelbey.html
http___dx.doi.org_10.1007_s00521-009-0317-4 http://dx.doi.org/10.1007/s00521-009-0317-4
Cabalar20091884 Genetic programming-based attenuation relationship: An application of recent earthquakes in Turkey
AliFiratCabalar.html
AbdulkadirCevik.html
http___dx.doi.org_10.1016_j.cageo.2008.10.015 http://dx.doi.org/10.1016/j.cageo.2008.10.015
http___www.sciencedirect.com_science_article_B6V7D-4W99W08-1_2_aa19b6639659945b1d4e78c6209fe435 http://www.sciencedirect.com/science/article/B6V7D-4W99W08-1/2/aa19b6639659945b1d4e78c6209fe435
Cabalar201110358 Triaxial behavior of sand-mica mixtures using genetic programming
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AbdulkadirCevik.html
http___dx.doi.org_10.1016_j.eswa.2011.02.051 http://dx.doi.org/10.1016/j.eswa.2011.02.051
http___www.sciencedirect.com_science_article_B6V03-524FSB9-M_2_eb83d6182c4d3c0b1271b301c5a04e15 http://www.sciencedirect.com/science/article/B6V03-524FSB9-M/2/eb83d6182c4d3c0b1271b301c5a04e15
CABRAL:2018:IJPRS Burned area estimations derived from Landsat ETM+ and OLI data: Comparing Genetic Programming with Maximum Likelihood and Classification and Regression Trees
AnaIsabelRosaCabral.html
SaraSilva.html
PedroCSilva.html
LeonardoVanneschi.html
MariaJoseVasconcelos.html
http___dx.doi.org_10.1016_j.isprsjprs.2018.05.007 http://dx.doi.org/10.1016/j.isprsjprs.2018.05.007
http___www.sciencedirect.com_science_article_pii_S0924271618301400 http://www.sciencedirect.com/science/article/pii/S0924271618301400
CabritaBotzheimRuanoKoczy04 Design of B-spline Neural Networks using a Bacterial Programming Approach
CristianoCabrita.html
JanosBotzheim.html
AntonioERuano.html
LaszloTKoczy.html
http___dx.doi.org_10.1109_IJCNN.2004.1380987 http://dx.doi.org/10.1109/IJCNN.2004.1380987
Cadrik:2016:MENDEL Genetic Programming Algorithm Creating and Assembling Subtrees for Making Analytical Functions
TomasCadrik.html
MarianMach.html
http___dx.doi.org_10.1007_978-3-319-58088-3_6 http://dx.doi.org/10.1007/978-3-319-58088-3_6
caetano:2023:GECCO Symbolic Regression Trees as Embedded Representations
VictorCaetano.html
MatheusCandidoTeixeira.html
GiseleLPappa.html
http___dx.doi.org_10.1145_3583131.3590423 http://dx.doi.org/10.1145/3583131.3590423
Caglar:2015:EAAI A simple formulation for effective flexural stiffness of circular reinforced concrete columns
NaciCaglar.html
AydinDemir.html
HakanOzturk.html
AbdulhalimAkkaya.html
http___dx.doi.org_10.1016_j.engappai.2014.10.011 http://dx.doi.org/10.1016/j.engappai.2014.10.011
http___www.sciencedirect.com_science_article_pii_S0952197614002516 http://www.sciencedirect.com/science/article/pii/S0952197614002516
cagnoni:2004:pre:preproc GECCO2004 Workshop Proceedings: Preface
StefanoCagnoni.html
http___gpbib.cs.ucl.ac.uk_gecco2004_ http://gpbib.cs.ucl.ac.uk/gecco2004/
cagnoni:2005:SMC Evolving Binary Classifiers Through Parallel Computation of Multiple Fitness Cases
StefanoCagnoni.html
FedericoBergenti.html
MonicaMordonini.html
GiovanniAdorni.html
http___dx.doi.org_10.1109_TSMCB.2005.846671 http://dx.doi.org/10.1109/TSMCB.2005.846671
Cagnoni:2006:IA Genetic and evolutionary Computation
StefanoCagnoni.html
RiccardoPoli.html
http___cswww.essex.ac.uk_staff_poli_papers_ai50-2006.pdf http://cswww.essex.ac.uk/staff/poli/papers/ai50-2006.pdf
Cagnoni:2008:EC Editorial Introduction to the Special Issue on Evolutionary Computer Vision
StefanoCagnoni.html
EvelyneLutton.html
GustavoOlague.html
http___dx.doi.org_10.1162_evco.2008.16.4.437 http://dx.doi.org/10.1162/evco.2008.16.4.437
Cagnoni:2016:CEC Evolutionary Computer Vision and Image Processing: some FAQs, Current Challenges and Future Perspectives
StefanoCagnoni.html
MengjieZhang.html
http___dx.doi.org_10.1109_CEC.2016.7743933 http://dx.doi.org/10.1109/CEC.2016.7743933
Cahon:2004:JoH ParadisEO: A Framework for the Reusable Design of Parallel and Distributed Metaheuristics
SebastienCahon.html
NouredineMelab.html
El-GhazaliTalbi.html
https___rdcu.be_cMLxW https://rdcu.be/cMLxW
https___citeseerx.ist.psu.edu_viewdoc_download_doi_10.1.1.538.8149_rep_rep1_type_pdf https://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.538.8149&rep=rep1&type=pdf
http___dx.doi.org_10.1023_B_HEUR.0000026900.92269.ec http://dx.doi.org/10.1023/B:HEUR.0000026900.92269.ec
https___nojhan.github.io_paradiseo_ https://nojhan.github.io/paradiseo/
Cai:2005:HT Genetic-Programming-Based Symbolic Regression for Heat Transfer Correlations of a Compact Heat Exchanger
WeihuaCai.html
MihirSen.html
KTYang.html
ArturoJavierPachecoVega.html
http___dx.doi.org_10.1115_HT2005-72293 http://dx.doi.org/10.1115/HT2005-72293
Cai:2006:IJHMT Heat transfer correlations by symbolic regression
WeihuaCai.html
ArturoJavierPachecoVega.html
MihirSen.html
KTYang.html
http___dx.doi.org_10.1016_j.ijheatmasstransfer.2006.04.029 http://dx.doi.org/10.1016/j.ijheatmasstransfer.2006.04.029
conf/ices/CaiST05 Benefits of Employing an Implicit Context Representation on Hardware Geometry of CGP
XinyeCai.html
StephenLSmith.html
AndrewMTyrrell.html
http___dx.doi.org_10.1007_11549703_14 http://dx.doi.org/10.1007/11549703_14
eurogp06:CaiSmothTyrrell Positional Independence and Recombination in Cartesian Genetic Programming
XinyeCai.html
StephenLSmith.html
AndrewMTyrrell.html
http___dx.doi.org_10.1007_11729976_32 http://dx.doi.org/10.1007/11729976_32
1277300 Discovering structures in gene regulatory networks using genetic programming and particle swarms
XinyeCai.html
StephenMWelch.html
PraveenKoduru.html
SanjoyDas.html
http___gpbib.cs.ucl.ac.uk_gecco2007_docs_p1750.pdf http://gpbib.cs.ucl.ac.uk/gecco2007/docs/p1750.pdf
http___dx.doi.org_10.1145_1276958.1277300 http://dx.doi.org/10.1145/1276958.1277300
Cai:2009:IJBRA Simultaneous structure discovery and parameter estimation in gene networks using a multi-objective GP-PSO hybrid approach
XinyeCai.html
PraveenKoduru.html
SanjoyDas.html
StephenMWelch.html
http___www.inderscience.com_link.php_id_26418 http://www.inderscience.com/link.php?id=26418
http___dx.doi.org_10.1504_IJBRA.2009.026418 http://dx.doi.org/10.1504/IJBRA.2009.026418
Xinye_Cai:thesis A multi-objective GP-PSO hybrid algorithm for gene regulatory network modeling
XinyeCai.html
http___hdl.handle.net_2097_1492 http://hdl.handle.net/2097/1492
http___krex.k-state.edu_dspace_handle_2097_1492 http://krex.k-state.edu/dspace/handle/2097/1492
http___krex.k-state.edu_dspace_bitstream_handle_2097_1492_xinyecai2009.pdf http://krex.k-state.edu/dspace/bitstream/handle/2097/1492/xinyecai2009.pdf
https___search.proquest.com_docview_304911232 https://search.proquest.com/docview/304911232
Cai:1996:ASS Genetic programming for prediction of earthquake sequence type
Yu-DongCai.html
http___dx.doi.org_10.1007_BF02650623 http://dx.doi.org/10.1007/BF02650623
calabrese:2022:AS Genetic Programming-Based Feature Construction for System Setting Recognition and Component-Level Prognostics
FrancescaCalabrese.html
AlbertoRegattieri.html
RaffaelePiscitelli.html
MarcoBortolini.html
FrancescoGabrieleGalizia.html
https___www.mdpi.com_2076-3417_12_9_4749 https://www.mdpi.com/2076-3417/12/9/4749
http___dx.doi.org_10.3390_app12094749 http://dx.doi.org/10.3390/app12094749
calderoni:1998:GPadsar Genetic Programming For Automatic Design Of Self-Adaptive Robots
StephaneCalderoni.html
PierreMarcenac.html
http___citeseer.ist.psu.edu_cache_papers_cs_13194_http_zSzzSzwww.univ-reunion.frzSz_caldezSzpublicationszSzpaperszSzlncs1391.pdf_calderoni98genetic.pdf http://citeseer.ist.psu.edu/cache/papers/cs/13194/http:zSzzSzwww.univ-reunion.frzSz~caldezSzpublicationszSzpaperszSzlncs1391.pdf/calderoni98genetic.pdf
http___citeseer.ist.psu.edu_267374.html http://citeseer.ist.psu.edu/267374.html
http___dx.doi.org_10.1007_BFb0055936 http://dx.doi.org/10.1007/BFb0055936
oai:CiteSeerPSU:185735 Genetic Encoding of Agent Behavioral Strategy
StephaneCalderoni.html
PierreMarcenac.html
RemyCourdier.html
http___portal.acm.org_citation.cfm_id_852213_jmp_cit_dl_portal_dl_ACM http://portal.acm.org/citation.cfm?id=852213&jmp=cit&dl=portal&dl=ACM
http___citeseer.ist.psu.edu_cache_papers_cs_4918_http_zSzzSzwww.univ-reunion.frzSz_caldezSzrechzSzpublicationszSzpaperszSzicmas98a.pdf_genetic-encoding-of-agent.pdf http://citeseer.ist.psu.edu/cache/papers/cs/4918/http:zSzzSzwww.univ-reunion.frzSz~caldezSzrechzSzpublicationszSzpaperszSzicmas98a.pdf/genetic-encoding-of-agent.pdf
http___citeseer.ist.psu.edu_185735.html http://citeseer.ist.psu.edu/185735.html
calderoni:1999:BCSMD Behavior-Based Control System in MultiAgent Domain
StephaneCalderoni.html
http___gpbib.cs.ucl.ac.uk_gecco1999_AA-048.pdf http://gpbib.cs.ucl.ac.uk/gecco1999/AA-048.pdf
http___gpbib.cs.ucl.ac.uk_gecco1999_AA-048.ps http://gpbib.cs.ucl.ac.uk/gecco1999/AA-048.ps
oai:CiteSeerPSU:247844 Generic Control Ssystem in MultiAgent Domain
StephaneCalderoni.html
http___citeseer.ist.psu.edu_247844.html http://citeseer.ist.psu.edu/247844.html
Callan:2021:GI Optimising SQL Queries Using Genetic Improvement
JamesCallan.html
JustynaPetke.html
https___geneticimprovementofsoftware.com_paper_pdfs_gi2021icse_callan_gi-icse_2021.pdf https://geneticimprovementofsoftware.com/paper_pdfs/gi2021icse/callan_gi-icse_2021.pdf
https___www.youtube.com_watch_v_WopftjIYPgs_list_PLI8fiFpB7BoKDaxvS7SQp0iA7fN7rrvDD_index_5 https://www.youtube.com/watch?v=WopftjIYPgs&list=PLI8fiFpB7BoKDaxvS7SQp0iA7fN7rrvDD&index=5
https___www.youtube.com_watch_v_A-QX5dlsKUI_list_PLI8fiFpB7BoKDaxvS7SQp0iA7fN7rrvDD_index_6 https://www.youtube.com/watch?v=A-QX5dlsKUI&list=PLI8fiFpB7BoKDaxvS7SQp0iA7fN7rrvDD&index=6
https___www.youtube.com_watch_v_nqBWLbtq6yQ_list_PLXTjhGKkSnI-se7uQneCX-pEDiDrQ7TIS_index_7 https://www.youtube.com/watch?v=nqBWLbtq6yQ&list=PLXTjhGKkSnI-se7uQneCX-pEDiDrQ7TIS&index=7
http___dx.doi.org_10.1109_GI52543.2021.00010 http://dx.doi.org/10.1109/GI52543.2021.00010
Callan:2021:SSBSE Improving Android App Responsiveness through Search-Based Frame Rate Reduction
JamesCallan.html
JustynaPetke.html
https___conf.researchr.org_details_ssbse-2021_ssbse-2021-rene---replications-and-negative-results_2_Improving-Android-App-Responsiveness-through-Search-Based-Frame-Rate-Reduction https://conf.researchr.org/details/ssbse-2021/ssbse-2021-rene---replications-and-negative-results/2/Improving-Android-App-Responsiveness-through-Search-Based-Frame-Rate-Reduction
http___dx.doi.org_10.1007_978-3-030-88106-1_10 http://dx.doi.org/10.1007/978-3-030-88106-1_10
callan2022 How Do Android Developers Improve Non-Functional Properties of Software?
JamesCallan.html
OliverKrauss.html
JustynaPetke.html
FedericaSarro.html
https___discovery.ucl.ac.uk_id_eprint_10145101_ https://discovery.ucl.ac.uk/id/eprint/10145101/
https___discovery.ucl.ac.uk_id_eprint_10145101_1_Petke_Callan2022_Article_HowDoAndroidDevelopersImproveN.pdf https://discovery.ucl.ac.uk/id/eprint/10145101/1/Petke_Callan2022_Article_HowDoAndroidDevelopersImproveN.pdf
https___rdcu.be_cZPhl https://rdcu.be/cZPhl
http___dx.doi.org_10.1007_s10664-022-10137-2 http://dx.doi.org/10.1007/s10664-022-10137-2
Callan:2022:SSBSE Multi-objective Genetic Improvement: A Case Study with EvoSuite
JamesCallan.html
JustynaPetke.html
http___dx.doi.org_10.1007_978-3-031-21251-2_8 http://dx.doi.org/10.1007/978-3-031-21251-2_8
callan2023multiobjective Multi-Objective Improvement of Android Applications
JamesCallan.html
JustynaPetke.html
https___arxiv.org_abs_2308.11387 https://arxiv.org/abs/2308.11387
callan:2024:GI On Reducing Network Usage with Genetic Improvement
JamesCallan.html
WilliamBLangdon.html
JustynaPetke.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_callan_2024_GI.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/callan_2024_GI.pdf
http___dx.doi.org_10.1145_3643692.3648262 http://dx.doi.org/10.1145/3643692.3648262
callan:thesis Improving the Non-Functional Properties of Android Applications with Genetic Improvement
JamesCallan.html
Calumby:2014:ICIP Diversity-driven learning for multimodal image retrieval with relevance feedback
RodrigoTripodiCalumby.html
RicardodaSilvaTorres.html
MarcosAndreGoncalves.html
http___dx.doi.org_10.1109_ICIP.2014.7025445 http://dx.doi.org/10.1109/ICIP.2014.7025445
journals/mta/CalumbyTG14 Multimodal retrieval with relevance feedback based on genetic programming
RodrigoTripodiCalumby.html
RicardodaSilvaTorres.html
MarcosAndreGoncalves.html
http___dx.doi.org_10.1007_s11042-012-1152-7 http://dx.doi.org/10.1007/s11042-012-1152-7
Calvo-Fracasso:2018:CEC Multi-objective semantic mutation for genetic programming
JoaoVitorCalvoFracasso.html
FernandoJoseVonZuben.html
http___dx.doi.org_10.1109_CEC.2018.8477675 http://dx.doi.org/10.1109/CEC.2018.8477675
series/sci/Calzada-LedesmaSDOVS17 Comparing Grammatical Evolution's Mapping Processes on Feature Generation for Pattern Recognition Problems
ValentinCalzada-Ledesma.html
HectorJPuga.html
AlfonsoRojas-Dominguez.html
ManuelOrnelas-Rodriguez.html
JuanMartinCarpio-Valadez.html
ClaudiaGuadalupeGomezSantillan.html
http___dx.doi.org_10.1007_978-3-319-47054-2_52 http://dx.doi.org/10.1007/978-3-319-47054-2_52
Calzada-Ledesma:2018:IEEEAccess Evolutionary Design of Problem-Adapted Image Descriptors for Texture Classification
ValentinCalzada-Ledesma.html
HectorJPuga-Soberanes.html
ManuelOrnelas-Rodriguez.html
AlfonsoRojas-Dominguez.html
JuanMartinCarpio-Valadez.html
AndrisEspinal.html
JorgeAlbertoSoria-Alcaraz.html
MarcoAurelioSoteloFigueroa.html
http___dx.doi.org_10.1109_ACCESS.2018.2858660 http://dx.doi.org/10.1109/ACCESS.2018.2858660
Camargo-Bareno:2011:GECCOcomp Intrinsic evolvable hardware for combinatorial synthesis based on SoC+FPGA and GPU platforms
CarlosIvanCamargoBareno.html
CesarPedrazaBonilla.html
LuisFernandoNinoVasquez.html
JoseIgnacioMartinezTorre.html
http___dx.doi.org_10.1145_2001858.2001964 http://dx.doi.org/10.1145/2001858.2001964
Cambronero:thesis Mining Software Artifacts for use in Automated Machine Learning
JosePabloCambroneroSanchez.html
https___www.csail.mit.edu_event_mining-software-artifacts-use-automated-machine-learning https://www.csail.mit.edu/event/mining-software-artifacts-use-automated-machine-learning
https___www.josecambronero.com_pdf_JCambronero-PhD-EECS-June2021.pdf https://www.josecambronero.com/pdf/JCambronero-PhD-EECS-June2021.pdf
campbell:2000:EGPDROR Evaluation of Genetic Programming for Determining Reservoir Operating Rules
ElliottCampbell.html
campbell:1993:MM Reviews
PaulJCampbell.html
http___links.jstor.org_sici_sici_0025-570X_28199304_2966_3A2_3C136_3AR_3E2.0.CO_3B2-4 http://links.jstor.org/sici?sici=0025-570X%28199304%2966%3A2%3C136%3AR%3E2.0.CO%3B2-4
CAMPOBELLO2020106488 Neuro-genetic programming for multigenre classification of music content
GiuseppeCampobello.html
DanieleDell'Aquila.html
MarcoRusso.html
AntoninoSegreto.html
http___www.sciencedirect.com_science_article_pii_S1568494620304270 http://www.sciencedirect.com/science/article/pii/S1568494620304270
http___dx.doi.org_10.1016_j.asoc.2020.106488 http://dx.doi.org/10.1016/j.asoc.2020.106488
Campos:GPEM Generating networks of genetic processors
MarcelinoCamposFrances.html
JoseMSempere.html
https___rdcu.be_czY20 https://rdcu.be/czY20
http___dx.doi.org_10.1007_s10710-021-09423-7 http://dx.doi.org/10.1007/s10710-021-09423-7
Can:2010:WSC Sequential metamodelling with genetic programming and particle swarms
BirkanCan.html
CathalHeavey.html
http___dx.doi.org_10.1109_WSC.2009.5429276 http://dx.doi.org/10.1109/WSC.2009.5429276
Can:thesis Evolutionary Modelling of Industrial Systems with Genetic Programming
BirkanCan.html
http___hdl.handle.net_10344_1693 http://hdl.handle.net/10344/1693
http___ulir.ul.ie_handle_10344_1693 http://ulir.ul.ie/handle/10344/1693
http___ulir.ul.ie_bitstream_handle_10344_1693_2010_Birkan_2c_20Can.pdf http://ulir.ul.ie/bitstream/handle/10344/1693/2010_Birkan%2c%20Can.pdf
Can2011 Comparison of experimental designs for simulation-based symbolic regression of manufacturing systems
BirkanCan.html
CathalHeavey.html
http___dx.doi.org_10.1016_j.cie.2011.03.012 http://dx.doi.org/10.1016/j.cie.2011.03.012
Can2012424 A comparison of genetic programming and artificial neural networks in metamodeling of discrete-event simulation models
BirkanCan.html
CathalHeavey.html
http___dx.doi.org_10.1016_j.cor.2011.05.004 http://dx.doi.org/10.1016/j.cor.2011.05.004
http___www.sciencedirect.com_science_article_pii_S0305054811001286 http://www.sciencedirect.com/science/article/pii/S0305054811001286
Can:2016:WSC A demonstration of machine learning for explicit functions for cycle time prediction using MES data
BirkanCan.html
CathalHeavey.html
http___dx.doi.org_10.1109_WSC.2016.7822289 http://dx.doi.org/10.1109/WSC.2016.7822289
journals/nca/CanakciBG09 Prediction of compressive and tensile strength of Gaziantep basalts via neural networks and gene expression programming
HanifiCanakci.html
AdilBaykasoglu.html
HamzaGullu.html
http___dx.doi.org_10.1007_s00521-008-0208-0 http://dx.doi.org/10.1007/s00521-008-0208-0
CanhVu:2018:KSE Detect Wi-Fi Network Attacks Using Parallel Genetic Programming
VanCanhVu.html
Tuan-HaoHoang.html
http___dx.doi.org_10.1109_KSE.2018.8573378 http://dx.doi.org/10.1109/KSE.2018.8573378
Cani:2014:SACtr Towards Automated Malware Creation: Code Generation and Code Integration
AndreaCani.html
MarcoGaudesi.html
ErnestoSanchez.html
GiovanniSquillero.html
AlbertoTonda.html
http___www.cad.polito.it_downloads_White_papers_Towards_20Automated_20Malware_20Creation_20-_20Code_20Generation_20__20Code_20Integration.pdf http://www.cad.polito.it/downloads/White_papers/Towards%20Automated%20Malware%20Creation%20-%20Code%20Generation%20&%20Code%20Integration.pdf
Cani:2014:SACtr2 Towards Automated Malware Creation: Code Generation and Code Integration
AndreaCani.html
MarcoGaudesi.html
ErnestoSanchez.html
GiovanniSquillero.html
AlbertoTonda.html
http___www.cad.polito.it_2014_Cani_2014_SACtr2.pdf http://www.cad.polito.it/2014/Cani_2014_SACtr2.pdf
Cani:2014:SAC Towards automated malware creation: code generation and code integration
AndreaCani.html
MarcoGaudesi.html
ErnestoSanchez.html
GiovanniSquillero.html
AlbertoTonda.html
https___doi.org_10.1145_2554850.2555157 https://doi.org/10.1145/2554850.2555157
http___dx.doi.org_10.1145_2554850.2555157 http://dx.doi.org/10.1145/2554850.2555157
https___ugp3.sourceforge.net_ https://ugp3.sourceforge.net/
Cankorur-Cetinkaya:2017:MB CamOptimus: a tool for exploiting complex adaptive evolution to optimize experiments and processes in biotechnology
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JoaoMLDias.html
JanaKludas.html
NigelKHSlater.html
JuhoRousu.html
StephenGOliver.html
DuyguDikicioglu.html
http___dx.doi.org_10.1099_mic.0.000477 http://dx.doi.org/10.1099/mic.0.000477
Cano:2010:HAIS Solving Classification Problems Using Genetic Programming Algorithms on GPUs
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AmeliaZafraGomez.html
SebastianVentura.html
http___dx.doi.org_10.1007_978-3-642-13803-4_3 http://dx.doi.org/10.1007/978-3-642-13803-4_3
Cano:2011:SC Speeding up the evaluation phase of GP classification algorithms on GPUs
AlbertoCanoRojas.html
AmeliaZafraGomez.html
SebastianVentura.html
http___dx.doi.org_10.1007_s00500-011-0713-4 http://dx.doi.org/10.1007/s00500-011-0713-4
conf/hais/CanoZV11 A Parallel Genetic Programming Algorithm for Classification
AlbertoCanoRojas.html
AmeliaZafraGomez.html
SebastianVentura.html
http___dx.doi.org_10.1007_978-3-642-21219-2_23 http://dx.doi.org/10.1007/978-3-642-21219-2_23
cano:2013:EuroGP A Grammar-Guided Genetic Programming Algorithm for Multi-Label Classification
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AmeliaZafraGomez.html
EvaLGibaja.html
SebastianVentura.html
http___dx.doi.org_10.1007_978-3-642-37207-0_19 http://dx.doi.org/10.1007/978-3-642-37207-0_19
Cano:2013:JPDC Parallel multi-objective Ant Programming for classification using GPUs
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JuanLuisOlmo.html
SebastianVentura.html
http___dx.doi.org_10.1016_j.jpdc.2013.01.017 http://dx.doi.org/10.1016/j.jpdc.2013.01.017
Cano:2013:INS An Interpretable Classification Rule Mining Algorithm
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AmeliaZafraGomez.html
SebastianVentura.html
http___www.sciencedirect.com_science_article_pii_S0020025513002430 http://www.sciencedirect.com/science/article/pii/S0020025513002430
http___dx.doi.org_10.1016_j.ins.2013.03.038 http://dx.doi.org/10.1016/j.ins.2013.03.038
Cano:2013:JSUP High performance evaluation of evolutionary-mined association rules on GPUs
AlbertoCanoRojas.html
JoseMariaLuna.html
SebastianVentura.html
http___link.springer.com_article_10.1007_s11227-013-0937-4_fulltext.html http://link.springer.com/article/10.1007/s11227-013-0937-4/fulltext.html
http___dx.doi.org_10.1007_s11227-013-0937-4 http://dx.doi.org/10.1007/s11227-013-0937-4
Thesis_Alberto_Cano New Classification Models through Evolutionary Algorithms
AlbertoCanoRojas.html
https___www.people.vcu.edu__acano_pdf_Thesis_20Alberto_20Cano.pdf https://www.people.vcu.edu/~acano/pdf/Thesis%20Alberto%20Cano.pdf
https___www.uco.es_kdis_research_theses_thesis-acano_ https://www.uco.es/kdis/research/theses/thesis-acano/
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Cano:2014:GECCO GPU-parallel subtree interpreter for genetic programming
AlbertoCanoRojas.html
SebastianVentura.html
http___doi.acm.org_10.1145_2576768.2598272 http://doi.acm.org/10.1145/2576768.2598272
http___dx.doi.org_10.1145_2576768.2598272 http://dx.doi.org/10.1145/2576768.2598272
2014-KAIS-Cano Speeding up multiple instance learning classification rules on GPUs
AlbertoCanoRojas.html
AmeliaZafraGomez.html
SebastianVentura.html
http___dx.doi.org_10.1007_s10115-014-0752-0 http://dx.doi.org/10.1007/s10115-014-0752-0
Cano:2015:JMLR A Classification Module for Genetic Programming Algorithms in JCLEC
AlbertoCanoRojas.html
JoseMariaLuna.html
AmeliaZafraGomez.html
SebastianVentura.html
http___www.jmlr.org_ http://www.jmlr.org/
http___www.jmlr.org_papers_v16_cano15a.html http://www.jmlr.org/papers/v16/cano15a.html
http___www.jmlr.org_papers_volume16_cano15a_cano15a.pdf http://www.jmlr.org/papers/volume16/cano15a/cano15a.pdf
Cano:2016:SC Multi-objective genetic programming for feature extraction and data visualization
AlbertoCanoRojas.html
SebastianVentura.html
KrzysztofJCios.html
http___dx.doi.org_10.1007_s00500-015-1907-y http://dx.doi.org/10.1007/s00500-015-1907-y
CANO:2019:PR Evolving rule-based classifiers with genetic programming on GPUs for drifting data streams
AlbertoCanoRojas.html
BartoszKrawczyk.html
http___dx.doi.org_10.1016_j.patcog.2018.10.024 http://dx.doi.org/10.1016/j.patcog.2018.10.024
http___www.sciencedirect.com_science_article_pii_S0031320318303765 http://www.sciencedirect.com/science/article/pii/S0031320318303765
Cano:2019:LT Interpretable Multiview Early Warning System Adapted to Underrepresented Student Populations
AlbertoCanoRojas.html
JohnDLeonardII.html
http___dx.doi.org_10.1109_TLT.2019.2911079 http://dx.doi.org/10.1109/TLT.2019.2911079
cano:2023:GECCOcomp Hardware Design of a Model Generator Based on Grammars and Cartesian Genetic Programming for Blood Glucose Prediction
JorgeCano.html
JoseIgnacioHidalgoPerez.html
OscarGarnica.html
JLanchares.html
http___dx.doi.org_10.1145_3583133.3596427 http://dx.doi.org/10.1145/3583133.3596427
cantner:2001:JASSS Empirically Based Simulation: The Case of Twin Peaks in National Income
UweVCantner.html
BerndEbersberger.html
HorstHanusch.html
JensJKruger.html
AndreasPyka.html
http___jasss.soc.surrey.ac.uk_4_3_9.html http://jasss.soc.surrey.ac.uk/4/3/9.html
cantu-paz:2002:gecco:lbp Late Breaking papers at the Genetic and Evolutionary Computation Conference (GECCO-2002)
ErickCantu-Paz.html
http___gpbib.cs.ucl.ac.uk_gecco2002lb.bib http://gpbib.cs.ucl.ac.uk/gecco2002lb.bib
GECCO2003-PartI Genetic and Evolutionary Computation -- GECCO 2003, Part I
ErickCantu-Paz.html
JamesAFoster.html
KalyanmoyDeb.html
LawrenceDavis.html
RajkumarRoy.html
Una-MayO'Reilly.html
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DipankarDasgupta.html
MitchellAPotter.html
AlanCSchultz.html
KathrynADowsland.html
NatashaJonoska.html
JulianFMiller.html
http___dx.doi.org_10.1007_3-540-45105-6 http://dx.doi.org/10.1007/3-540-45105-6
GECCO2003-PartII Genetic and Evolutionary Computation -- GECCO 2003, Part II
ErickCantu-Paz.html
JamesAFoster.html
KalyanmoyDeb.html
LawrenceDavis.html
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Una-MayO'Reilly.html
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JulianFMiller.html
http___dx.doi.org_10.1007_3-540-45110-2 http://dx.doi.org/10.1007/3-540-45110-2
Cao:2016:ICISCE Increasing Diversity and Controlling Bloat in Linear Genetic Programming
BoCao.html
ZongliJiang.html
http___dx.doi.org_10.1109_ICISCE.2016.97 http://dx.doi.org/10.1109/ICISCE.2016.97
Cao:2020:ISSSR A Survey on Automatic Bug Fixing
HelingCao.html
YangXiaMeng.html
JianshuShi.html
LeiLi.html
TiaoliLiao.html
ChenyangZhao.html
http___dx.doi.org_10.1109_ISSSR51244.2020.00029 http://dx.doi.org/10.1109/ISSSR51244.2020.00029
Cao:2021:QRS-C Automated Repair of Java Programs with Random Search via Code Similarity
HelingCao.html
FangzhengLiu.html
JianshuShi.html
YongheChu.html
MiaoleiDeng.html
http___dx.doi.org_10.1109_QRS-C55045.2021.00075 http://dx.doi.org/10.1109/QRS-C55045.2021.00075
cao:1998:NPSC A Hybrid Evolutionary Modeling Algorithm for System of Ordinary Differential Equations
Hong-QingCao.html
Li-ShanKang.html
ZbigniewMichalewicz.html
Yu-PingChen.html
http___www.dynamicpublishers.com_Neural_neuralv6.htm http://www.dynamicpublishers.com/Neural/neuralv6.htm
http___dl.acm.org_citation.cfm_id_293731.293733 http://dl.acm.org/citation.cfm?id=293731.293733
cao:1998:2eaode A Two-level Evolutionary Algorithm for Modeling System of Ordinary Differential Equations
Hong-QingCao.html
Li-ShanKang.html
ZbigniewMichalewicz.html
Yu-PingChen.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_gp1998_cao_1998_2eaode.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/gp1998/cao_1998_2eaode.pdf
cao:1999:CC The Kinetic Evolutionary Modeling of Complex Systems of Chemical Reactions
Hong-QingCao.html
JingxianYu.html
Li-ShanKang.html
Yu-PingChen.html
YongyanChen.html
http___dx.doi.org_10.1016_S0097-8485_99_00005-4 http://dx.doi.org/10.1016/S0097-8485(99)00005-4
cao:1999:EMODEDS Evolutionary Modeling of Ordinary Differential Equations for Dynamic Systems
Hong-QingCao.html
Li-ShanKang.html
Yu-PingChen.html
http___gpbib.cs.ucl.ac.uk_gecco1999_GP-401.pdf http://gpbib.cs.ucl.ac.uk/gecco1999/GP-401.pdf
http___gpbib.cs.ucl.ac.uk_gecco1999_GP-401.ps http://gpbib.cs.ucl.ac.uk/gecco1999/GP-401.ps
cao:2000:odeGP Evolutionary Modeling of Systems of Ordinary Differential Equations with Genetic Programming
Hong-QingCao.html
Li-ShanKang.html
Yu-PingChen.html
JingxianYu.html
http___www.ees.adelaide.edu.au_people_enviro_cao_2000-05.pdf http://www.ees.adelaide.edu.au/people/enviro/cao/2000-05.pdf
http___dx.doi.org_10.1023_A_1010013106294 http://dx.doi.org/10.1023/A:1010013106294
cao:2000:ode2GP A two-level hybrid evolutionary algorithm for modeling one-dimensional dynamic systems by higher-order ODE models
Hong-QingCao.html
Li-ShanKang.html
TaoGuo.html
Yu-PingChen.html
HugodeGaris.html
http___ieeexplore.ieee.org_iel5_3477_18067_00836383.pdf http://ieeexplore.ieee.org/iel5/3477/18067/00836383.pdf
cao:2001:CC Modeling and prediction for discharge lifetime of battery systems using hybrid evolutionary algorithms
Hong-QingCao.html
JingxianYu.html
Li-ShanKang.html
HanxiYang.html
XinpingAi.html
http___dx.doi.org_10.1016_S0097-8485_00_00099-1 http://dx.doi.org/10.1016/S0097-8485(00)00099-1
cao:2003:WUJNS Parallel Implementations of Modeling Dynamical Systems by Using System of Ordinary Differential Equations
Hong-QingCao.html
Li-ShanKang.html
JingxianYu.html
http___dx.doi.org_10.1007_BF02899484 http://dx.doi.org/10.1007/BF02899484
cao:2003:NPSC An Experimental Study of Some Control Parameters in Parallel Genetic Programming
Hong-QingCao.html
JingxianYu.html
Li-ShanKang.html
RI_Bob_McKay.html
http___citeseerx.ist.psu.edu_viewdoc_download_doi_10.1.1.80.6377.pdf http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.80.6377.pdf
cao:2003:CMA The Dynamic Evolutionary Modeling of HODEs for Time Series Prediction
Hong-QingCao.html
Li-ShanKang.html
Yu-PingChen.html
TaoGuo.html
http___www.sciencedirect.com_science_article_B6TYJ-4BRR761-P_2_4d226ed6e682798de2e1d83d01cebd95 http://www.sciencedirect.com/science/article/B6TYJ-4BRR761-P/2/4d226ed6e682798de2e1d83d01cebd95
http___dx.doi.org_10.1016_S0898-1221_03_90228-8 http://dx.doi.org/10.1016/S0898-1221(03)90228-8
Cao:2003:Aeafmtecfeis An evolutionary approach for modeling the equivalent circuit for electrochemical impedance spectroscopy
Hong-QingCao.html
JingxianYu.html
Li-ShanKang.html
http___www.ees.adelaide.edu.au_people_enviro_cao_2003-05.pdf http://www.ees.adelaide.edu.au/people/enviro/cao/2003-05.pdf
http___dx.doi.org_10.1109_CEC.2003.1299893 http://dx.doi.org/10.1109/CEC.2003.1299893
Cao:2006:EI Discovery of Predictive Rule Sets for Chlorophyll-a Dynamics in the Nakdong River (Korea) by Means of the Hybrid Evolutionary Algorithm HEA
Hong-QingCao.html
FriedrichRecknagel.html
Gea-JaeJoo.html
Dong-KyunKim.html
http___dx.doi.org_10.1016_j.ecoinf.2005.08.001 http://dx.doi.org/10.1016/j.ecoinf.2005.08.001
Cao:2006:2lakes Hybrid Evolutionary Algorithm for Rule Set Discovery in Time-Series Data to Forecast and Explain Algal Population Dynamics in Two Lakes Different in Morphometry and Eutrophication
Hong-QingCao.html
FriedrichRecknagel.html
BomchulKim.html
NorikoTakamura.html
http___dx.doi.org_10.1007_3-540-28426-5_17 http://dx.doi.org/10.1007/3-540-28426-5_17
Cao2008181 Process-based simulation library SALMO-OO for lake ecosystems. Part 2: Multi-objective parameter optimization by evolutionary algorithms
Hong-QingCao.html
FriedrichRecknagel.html
LydiaCetin.html
ByronHeZhang.html
http___dx.doi.org_10.1016_j.ecoinf.2008.02.001 http://dx.doi.org/10.1016/j.ecoinf.2008.02.001
http___www.sciencedirect.com_science_article_B7W63-4S69SG8-1_2_95e920ec339c554888f67696a93f2f37 http://www.sciencedirect.com/science/article/B7W63-4S69SG8-1/2/95e920ec339c554888f67696a93f2f37
Cao:2014:ieeeEC Parameter Optimization Algorithms for Evolving Rule Models Applied to Freshwater Ecosystems
Hong-QingCao.html
FriedrichRecknagel.html
PhilipTOrr.html
http___dx.doi.org_10.1109_TEVC.2013.2286404 http://dx.doi.org/10.1109/TEVC.2013.2286404
Cao:2016:EM Spatially-explicit forecasting of cyanobacteria assemblages in freshwater lakes by multi-objective hybrid evolutionary algorithms
Hong-QingCao.html
FriedrichRecknagel.html
MichaelBartkow.html
http___dx.doi.org_10.1016_j.ecolmodel.2016.09.024 http://dx.doi.org/10.1016/j.ecolmodel.2016.09.024
http___www.sciencedirect.com_science_article_pii_S0304380016304938 http://www.sciencedirect.com/science/article/pii/S0304380016304938
CAO:2021:AIA A novel elemental composition based prediction model for biochar aromaticity derived from machine learning
HongliangCao.html
YaimeJeffersonMilan.html
SohrabHaghighiMood.html
MichaelAyiania.html
ShuZhang.html
XuzhongGong.html
ElectoEduardoSilvaLora.html
QiaoxiaYuan.html
ManuelGarcia-Perez.html
https___www.sciencedirect.com_science_article_pii_S2589721721000210 https://www.sciencedirect.com/science/article/pii/S2589721721000210
http___dx.doi.org_10.1016_j.aiia.2021.06.002 http://dx.doi.org/10.1016/j.aiia.2021.06.002
Cao:2019:AIChE Symbolic Regression for the Automated Physical Model Identification in Reaction Engineering
LiweiCao.html
PascalNeumann.html
DaniloRusso.html
VassiliosSVassiliadis.html
AlexeiALapkin.html
https___www.aiche.org_conferences_aiche-annual-meeting_2019_proceeding_paper_443c-symbolic-regression-automated-physical-model-identification-reaction-engineering https://www.aiche.org/conferences/aiche-annual-meeting/2019/proceeding/paper/443c-symbolic-regression-automated-physical-model-identification-reaction-engineering
PhD_Thesis_Liwei_Cao_revised_version Combining artificial intelligence and robotic system in chemical product/process design
LiweiCao.html
https___www.repository.cam.ac.uk_handle_1810_329408 https://www.repository.cam.ac.uk/handle/1810/329408
https___www.repository.cam.ac.uk_bitstream_handle_1810_329408_PhD_Thesis_Liwei_Cao_revised_version.pdf https://www.repository.cam.ac.uk/bitstream/handle/1810/329408/PhD_Thesis_Liwei_Cao_revised_version.pdf
http___dx.doi.org_10.17863_CAM.76857 http://dx.doi.org/10.17863/CAM.76857
Cao:2016:EuroGP One-class Classification for Anomaly Detection with Kernel Density Estimation and Genetic Programming
VanLoiCao.html
MiguelNicolau.html
JamesMcDermott.html
http___dx.doi.org_10.1007_978-3-319-30668-1_1 http://dx.doi.org/10.1007/978-3-319-30668-1_1
conf/evoW/CaoLONM16 Improving Fitness Functions in Genetic Programming for Classification on Unbalanced Credit Card Data
VanLoiCao.html
Nhien-AnLe-Khac.html
MichaelO'Neill.html
MiguelNicolau.html
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http___dx.doi.org_10.1007_978-3-319-31204-0_3 http://dx.doi.org/10.1007/978-3-319-31204-0_3
journals/corr/CaoLNOM17 Improving Fitness Functions in Genetic Programming for Classification on Unbalanced Credit Card Datasets
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Nhien-AnLe-Khac.html
MiguelNicolau.html
MichaelO'Neill.html
JamesMcDermott.html
http___arxiv.org_abs_1704.03522 http://arxiv.org/abs/1704.03522
Cao:2015:ASC The Use of Vicinal-Risk Minimization for Training Decision Trees
YilongCao.html
PeterIRockett.html
http___dx.doi.org_10.1016_j.asoc.2015.02.043 http://dx.doi.org/10.1016/j.asoc.2015.02.043
http___www.sciencedirect.com_science_article_pii_S1568494615001507 http://www.sciencedirect.com/science/article/pii/S1568494615001507
DBLP:journals/itc/CaoHMC22 Automatic Repair of Java Programs Weighted Fusion Similarity via Genetic Programming
HelingCao.html
ZhenghaoheHe.html
YangxiaMeng.html
YongheChu.html
https___doi.org_10.5755_j01.itc.51.4.30515 https://doi.org/10.5755/j01.itc.51.4.30515
http___dx.doi.org_10.5755_j01.itc.51.4.30515 http://dx.doi.org/10.5755/j01.itc.51.4.30515
https___dblp.org_rec_journals_itc_CaoHMC22.bib https://dblp.org/rec/journals/itc/CaoHMC22.bib
Caparelli:2009:waset Pattern Recognition of Biological Signals
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EduardoCosta.html
AlexsandroSantosSoares.html
HipolitoBarbosa.html
http___waset.org_publications_15962 http://waset.org/publications/15962
http___waset.org_Publications_p_27 http://waset.org/Publications?p=27
http___waset.org_publications_15962 http://waset.org/publications/15962
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.309.1795 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.309.1795
Capcarrece:2004:BS An evolving ontogenetic cellular system for better adaptiveness
MathieuSCapcarrece.html
http___www.sciencedirect.com_science_article_B6T2K-4D1R6V6-2_2_ceb26b0139eed613393486f88bc2ac23 http://www.sciencedirect.com/science/article/B6T2K-4D1R6V6-2/2/ceb26b0139eed613393486f88bc2ac23
http___dx.doi.org_10.1016_j.biosystems.2004.05.020 http://dx.doi.org/10.1016/j.biosystems.2004.05.020
caplan:2004:GPTP Lessons Learned Using Genetic Programming in a Stock Picking Context
MichaelCaplan.html
YingLBecker.html
http___dx.doi.org_10.1007_0-387-23254-0_6 http://dx.doi.org/10.1007/0-387-23254-0_6
conf/icinco/CarabaliT0CC17 Inverse Response Systems Identification using Genetic Programming
CarmenAliciaCarabali.html
LuisRodrigoTituanaDavila.html
JoseLisandroAguilarCastro.html
OscarCamacho.html
DaniloChavez.html
http___www.scitepress.org_DigitalLibrary_ProceedingsDetails.aspx_ID_Hxr_q2f7PZ4_ http://www.scitepress.org/DigitalLibrary/ProceedingsDetails.aspx?ID=Hxr/q2f7PZ4=
http___dx.doi.org_10.5220_0006421602380245 http://dx.doi.org/10.5220/0006421602380245
garcia:1999:efrbcGAPga Evolving Fuzzy Rule Based Classifiers with GA-P: A Grammatical Approach
SantiagoGarciaCarbajal.html
FerminGonzalezMartinez.html
LucianoSanchez.html
http___dx.doi.org_10.1007_3-540-48885-5_17 http://dx.doi.org/10.1007/3-540-48885-5_17
carbajal:2001:GPEM Evolutive Introns: A Non-Costly Method of Using Introns in GP
SantiagoGarciaCarbajal.html
FerminGonzalezMartinez.html
http___dx.doi.org_10.1023_A_1011548229751 http://dx.doi.org/10.1023/A:1011548229751
GarciaCarbajal:thesis Identificacion automatica de objetivos parciales mediante logica borrosa y programacion genetica dirigida por gramatica
SantiagoGarciaCarbajal.html
https___dialnet.unirioja.es_servlet_tesis_codigo_8570 https://dialnet.unirioja.es/servlet/tesis?codigo=8570
garcia03 Multi Niche Parallel GP with a Junk-code Migration Model
SantiagoGarciaCarbajal.html
JohnLevine.html
FerminGonzalezMartinez.html
http___www.aiai.ed.ac.uk__johnl_papers_garcia-eurogp03.ps http://www.aiai.ed.ac.uk/~johnl/papers/garcia-eurogp03.ps
http___citeseer.ist.psu.edu_575183.html http://citeseer.ist.psu.edu/575183.html
http___dx.doi.org_10.1007_3-540-36599-0_30 http://dx.doi.org/10.1007/3-540-36599-0_30
Carbajal:2004:AL EvolGL: Life in a Pond
SantiagoGarciaCarbajal.html
MartinBosqueMoran.html
FerminGonzalezMartinez.html
http___mitpress.mit.edu_books_artificial-life-ix http://mitpress.mit.edu/books/artificial-life-ix
https___www.dropbox.com_s_l6fmo6eoe7wgkgj_9780262661836_ALIFE_IX.pdf https://www.dropbox.com/s/l6fmo6eoe7wgkgj/9780262661836_ALIFE_IX.pdf
http___ieeexplore.ieee.org_servlet_opac_bknumber_6267522 http://ieeexplore.ieee.org/servlet/opac?bknumber=6267522
http___ieeexplore.ieee.org_xpl_articleDetails.jsp_arnumber_6278868 http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6278868
http___dx.doi.org_10.7551_mitpress_1429.003.0014 http://dx.doi.org/10.7551/mitpress/1429.003.0014
Garcia:2006:IJSC Hierarchical Reinforcement Learning with Grammar-Directed GA-P
SantiagoGarciaCarbajal.html
NouhadJRizk.html
http___medwelljournals.com_abstract__doi_ijscomp.2006.52.60 http://medwelljournals.com/abstract/?doi=ijscomp.2006.52.60
Carbajal:2007:SSCE Parallelizing Automatic Induction of Langton Parameter with Genetic Programming
SantiagoGarciaCarbajal.html
DavidWCorne.html
AlejandroContyEstevez.html
http___www.hpc-europa.org_CD2006_contents_112-Math-Garcia.PDF http://www.hpc-europa.org/CD2006/contents/112-Math-Garcia.PDF
55-NN3-Carjabal Time Series Prediction Using Grammar-directed Genetic Programming Methods
SantiagoGarciaCarbajal.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.295.1670 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.295.1670
http___www.neural-forecasting-competition.com_downloads_NN3_methods_55-NN3-Carjabal.pdf http://www.neural-forecasting-competition.com/downloads/NN3/methods/55-NN3-Carjabal.pdf
http___www.neural-forecasting-competition.com_NN3_results.htm http://www.neural-forecasting-competition.com/NN3/results.htm
GarciaCarbajal:2007:PPL Parallelizing Three Dimensional Cellular Automata With OpenMP
SantiagoGarciaCarbajal.html
http___www.worldscinet.com_ppl_ppl.shtml http://www.worldscinet.com/ppl/ppl.shtml
http___dx.doi.org_10.1142_S0129626407003083 http://dx.doi.org/10.1142/S0129626407003083
Carbone:2012:JH Data-mining approach to investigate sedimentation features in combined sewer overflows
MarcoCarbone.html
LuigiBerardi.html
DanieleBLaucelli.html
PatriziaPiro.html
http___dx.doi.org_10.2166_hydro.2011.003 http://dx.doi.org/10.2166/hydro.2011.003
card:1999:GPWNTSP Genetic Programming of Wavelet Networks for Time Series Prediction
StuCard.html
http___www.borg.com__stu_GECCO99.html http://www.borg.com/~stu/GECCO99.html
card:2004:gsw:swcar Time Series Prediction by Genetic Programming with Relaxed Assumptions in Mathematica
StuCard.html
http___gpbib.cs.ucl.ac.uk_gecco2004_WGSW002.pdf http://gpbib.cs.ucl.ac.uk/gecco2004/WGSW002.pdf
card:2005:CEC Information Theoretic Indicators of Fitness, Relevant Diversity \& Pairing Potential in Genetic Programming
StuCard.html
ChilukuriKMohan.html
http___dx.doi.org_10.1109_CEC.2005.1555013 http://dx.doi.org/10.1109/CEC.2005.1555013
1144254 Ensemble selection for evolutionary learning using information theory and Price's theorem
StuCard.html
ChilukuriKMohan.html
http___gpbib.cs.ucl.ac.uk_gecco2006_docs_p1587.pdf http://gpbib.cs.ucl.ac.uk/gecco2006/docs/p1587.pdf
http___dx.doi.org_10.1145_1143997.1144254 http://dx.doi.org/10.1145/1143997.1144254
Card:2007:GPTP Towards an Information Theoretic Framework for Genetic programming
StuCard.html
ChilukuriKMohan.html
http___dx.doi.org_10.1007_978-0-387-76308-8_6 http://dx.doi.org/10.1007/978-0-387-76308-8_6
Card:2008:GPTP An Application of Information Theoretic Selection to Evolution of Models with Continuous-valued Inputs
StuCard.html
ChilukuriKMohan.html
http___dx.doi.org_10.1007_978-0-387-87623-8_3 http://dx.doi.org/10.1007/978-0-387-87623-8_3
Card:2010:geccocomp Information distance based fitness and diversity metrics
StuCard.html
http___dx.doi.org_10.1145_1830761.1830815 http://dx.doi.org/10.1145/1830761.1830815
Card:thesis Towards an Information Theoretic Framework for Evolutionary Learning
StuCard.html
https___surface.syr.edu_eecs_etd_307 https://surface.syr.edu/eecs_etd/307
https___surface.syr.edu_cgi_viewcontent.cgi_article_1311_context_eecs_etd https://surface.syr.edu/cgi/viewcontent.cgi?article=1311&context=eecs_etd
Card:2023:GPTP Towards Information Theoretic GP of Causal Models
StuCard.html
Cardamone:2011:DSoPIuGP Dynamic Synthesis of Program Invariants using Genetic Programming
LuigiCardamone.html
AndreaMocci.html
CarloGhezzi.html
http___dx.doi.org_10.1109_CEC.2011.5949677 http://dx.doi.org/10.1109/CEC.2011.5949677
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JoseRicardoCardenasValdez.html
EmigdioZ-Flores.html
JoseCruzNunezPerez.html
LeonardoTrujillo.html
http___dx.doi.org_10.1007_978-3-319-44003-3_3 http://dx.doi.org/10.1007/978-3-319-44003-3_3
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RuiPCardoso.html
EmmaHart.html
JeremyVPitt.html
http___dx.doi.org_10.1145_3321707.3321763 http://dx.doi.org/10.1145/3321707.3321763
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VCardoso-Fernandez.html
AliBassam.html
OscardeJesusMayTzuc.html
MABarreraCh.html
JorgedeJesusChan-Gonzalez.html
MAEscalanteSoberanis.html
NVelazquez-Limon.html
LuisJRicalde.html
http___dx.doi.org_10.1016_j.applthermaleng.2022.119363 http://dx.doi.org/10.1016/j.applthermaleng.2022.119363
https___www.sciencedirect.com_science_article_pii_S1359431122012935 https://www.sciencedirect.com/science/article/pii/S1359431122012935
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OanaCarja.html
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ClaudeCarlet.html
DomagojJakobovic.html
StjepanPicek.html
http___www.human-competitive.org_sites_default_files_picek_humies.txt http://www.human-competitive.org/sites/default/files/picek_humies.txt
http___www.human-competitive.org_sites_default_files_ea_for_secondary_boolean_function_construction.pdf http://www.human-competitive.org/sites/default/files/ea_for_secondary_boolean_function_construction.pdf
http___dx.doi.org_10.1145_3449639.3459362 http://dx.doi.org/10.1145/3449639.3459362
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ClaudeCarlet.html
MarkoDurasevic.html
DomagojJakobovic.html
LucaMariot.html
StjepanPicek.html
https___doi.org_10.1145_3512290.3528871 https://doi.org/10.1145/3512290.3528871
http___dx.doi.org_10.1145_3512290.3528871 http://dx.doi.org/10.1145/3512290.3528871
https___vimeo.com_725452312 https://vimeo.com/725452312
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ClaudeCarlet.html
DomagojJakobovic.html
StjepanPicek.html
http___dx.doi.org_10.1145_3520304.3529081 http://dx.doi.org/10.1145/3520304.3529081
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ClaudeCarlet.html
MarkoDurasevic.html
BrunoGasperov.html
DomagojJakobovic.html
LucaMariot.html
StjepanPicek.html
https___rdcu.be_dDZU2 https://rdcu.be/dDZU2
http___dx.doi.org_10.1007_978-3-031-56852-7_19 http://dx.doi.org/10.1007/978-3-031-56852-7_19
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ClaudeCarlet.html
MarkoDurasevic.html
DomagojJakobovic.html
LucaMariot.html
StjepanPicek.html
http___dx.doi.org_10.1007_978-3-031-56957-9_10 http://dx.doi.org/10.1007/978-3-031-56957-9_10
Carlos-Padierna:2020:ACC Biomedical Classification Problems Automatically Solved by Computational Intelligence Methods
LCarlosPadierna.html
CVillasenor-Mora.html
SALopezJuarez.html
http___dx.doi.org_10.1109_ACCESS.2020.2998749 http://dx.doi.org/10.1109/ACCESS.2020.2998749
CarPai02 Interactive Evolution of Speech using VoiceXML Speaking to your GP System
JonasCarlsson.html
CarlosPaiz.html
KristerWolff.html
PeterNordin.html
http___citeseer.uark.edu_8080_citeseerx_showciting_jsessionid_3ACDA5B9DB9ACC6C5ECF27C2C8BEA296_cid_5226534 http://citeseer.uark.edu:8080/citeseerx/showciting;jsessionid=3ACDA5B9DB9ACC6C5ECF27C2C8BEA296?cid=5226534
http___publications.lib.chalmers.se_publication_72898-interactive-evolution-of-speech-using-voicexml-speaking-to-your-gp-system http://publications.lib.chalmers.se/publication/72898-interactive-evolution-of-speech-using-voicexml-speaking-to-your-gp-system
conf/eusflat/CarmonaGJ15 FuGePSD: Fuzzy Genetic Programming-based algorithm for Subgroup Discovery
CristobalJoseCarmonadelJesus.html
PedroGonzalezGarcia.html
MariaJosedelJesus.html
http___www.atlantis-press.com_php_download_paper.php_id_23576 http://www.atlantis-press.com/php/download_paper.php?id=23576
http___dx.doi.org_10.2991_ifsa-eusflat-15.2015.65 http://dx.doi.org/10.2991/ifsa-eusflat-15.2015.65
Carmona:2015:IS A fuzzy genetic programming-based algorithm for subgroup discovery and the application to one problem of pathogenesis of acute sore throat conditions in humans
CristobalJoseCarmonadelJesus.html
VictorRuiz-Rodado.html
MariaJosedelJesus.html
AWeber.html
MartinGrootveld.html
PedroGonzalezEspejo.html
DavidElizondo.html
http___dx.doi.org_10.1016_j.ins.2014.11.030 http://dx.doi.org/10.1016/j.ins.2014.11.030
http___www.sciencedirect.com_science_article_pii_S0020025514011116 http://www.sciencedirect.com/science/article/pii/S0020025514011116
carobus:2000:EGPBUGPCPNH Evolution of Game Playing Behavior: Using Genetic Programming to Create Players for Net Hack
AlexanderPCarobus.html
Carreno:2007:cec Evolution of Classification Rules for Comprehensible Knowledge Discovery
EmilianoJCarreno.html
GuillermoLeguizamon.html
NealWagner.html
http___dx.doi.org_10.1109_CEC.2007.4424615 http://dx.doi.org/10.1109/CEC.2007.4424615
CarrenoJara:2011:GPEM Long memory time series forecasting by using genetic programming
EmilianoJCarreno.html
http___dx.doi.org_10.1007_s10710-011-9140-7 http://dx.doi.org/10.1007/s10710-011-9140-7
Carreras:2010:percomWKS Self-evolving applications over opportunistic communication systems
IacopoCarreras.html
DavidLinner.html
http___dx.doi.org_10.1109_PERCOMW.2010.5470677 http://dx.doi.org/10.1109/PERCOMW.2010.5470677
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BrianCarse.html
AnthonyPipe.html
http___www.aaai.org_Papers_FLAIRS_2001_FLAIRS01-089.pdf http://www.aaai.org/Papers/FLAIRS/2001/FLAIRS01-089.pdf
https___www.aaai.org_Library_FLAIRS_flairs01contents.php https://www.aaai.org/Library/FLAIRS/flairs01contents.php
carter2003network Network surveillance and security system
ErnstBCarter.html
VasilyZolotov.html
http___appft1.uspto.gov_netacgi_nph-Parser_Sect1_PTO1_Sect2_HITOFF_d_PG01_p_1_u__netahtml_PTO_srchnum.html_r_1_f_G_l_50_s1_20030051026.PGNR. http://appft1.uspto.gov/netacgi/nph-Parser?Sect1=PTO1&Sect2=HITOFF&d=PG01&p=1&u=/netahtml/PTO/srchnum.html&r=1&f=G&l=50&s1=20030051026.PGNR.
http___www.google.co.uk_patents_US20030051026 http://www.google.co.uk/patents/US20030051026
Carvalho:2020:GECCO AutoLR: An Evolutionary Approach to Learning Rate Policies
PedroCarvalho.html
NunoLourenco.html
FilipeAssuncao.html
PenousalMachado.html
http___www.human-competitive.org_sites_default_files_carvalho-autolr.txt http://www.human-competitive.org/sites/default/files/carvalho-autolr.txt
http___www.human-competitive.org_sites_default_files_autolr_-_an_evolutionary_approach_to_learning_rate_policies.pdf http://www.human-competitive.org/sites/default/files/autolr_-_an_evolutionary_approach_to_learning_rate_policies.pdf
https___doi.org_10.1145_3377930.3390158 https://doi.org/10.1145/3377930.3390158
http___dx.doi.org_10.1145_3377930.3390158 http://dx.doi.org/10.1145/3377930.3390158
DBLP:journals/corr/abs-2103-12623 Evolving Learning Rate Optimizers for Deep Neural Networks
PedroCarvalho.html
NunoLourenco.html
PenousalMachado.html
http___www.human-competitive.org_sites_default_files_carvalho-autolr.txt http://www.human-competitive.org/sites/default/files/carvalho-autolr.txt
http___www.human-competitive.org_sites_default_files_evolving_learning_rate_optimizers_for_deep_neural_networks.pdf http://www.human-competitive.org/sites/default/files/evolving_learning_rate_optimizers_for_deep_neural_networks.pdf
https___arxiv.org_abs_2103.12623 https://arxiv.org/abs/2103.12623
Carvalho:2022:EuroGP Evolving Adaptive Neural Network Optimizers for Image Classification
PedroCarvalho.html
NunoLourenco.html
PenousalMachado.html
https___www.human-competitive.org_sites_default_files_humiessubmission_2.txt https://www.human-competitive.org/sites/default/files/humiessubmission_2.txt
https___www.human-competitive.org_sites_default_files_evolving_adaptive_neural_network_optimizers_for_image_classification_2.pdf https://www.human-competitive.org/sites/default/files/evolving_adaptive_neural_network_optimizers_for_image_classification_2.pdf
http___dx.doi.org_10.1007_978-3-031-02056-8_1 http://dx.doi.org/10.1007/978-3-031-02056-8_1
Carvalho:2023:EuroGP Context Matters: Adaptive Mutation for Grammars
PedroCarvalho.html
JessicaMegane.html
NunoLourenco.html
PenousalMachado.html
https___rdcu.be_c8URQ https://rdcu.be/c8URQ
http___dx.doi.org_10.1007_978-3-031-29573-7_8 http://dx.doi.org/10.1007/978-3-031-29573-7_8
Carvalho:2021:IAM Using Grammatical Evolution for Modelling Energy Consumption on a Computer Numerical Control Machine
SamuelCarvalho.html
JoeSullivan.html
DouglasMotaDias.html
EnriqueNaredo.html
ConorRyan.html
http___dx.doi.org_10.1145_3449726.3463185 http://dx.doi.org/10.1145/3449726.3463185
Casadei:2019:BRACIS A Multi-objective Approach for Symbolic Regression with Semantic Genetic Programming
FelipeCasadei.html
JoaoFranciscoBSMartins.html
GiseleLPappa.html
http___dx.doi.org_10.1109_BRACIS.2019.00021 http://dx.doi.org/10.1109/BRACIS.2019.00021
Casanova:2010:cec Tradinnova-LCS: Dynamic stock portfolio decision-making assistance model with genetic based machine learning
IsidoroJCasanova.html
http___dx.doi.org_10.1109_CEC.2010.5586067 http://dx.doi.org/10.1109/CEC.2010.5586067
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EdgarEnriqueCasasolaMurillo.html
http___hdl.handle.net_123456789_293 http://hdl.handle.net/123456789/293
http___repositorio.conicit.go.cr_8080_xmlui_handle_123456789_293 http://repositorio.conicit.go.cr:8080/xmlui/handle/123456789/293
http___repositorio.conicit.go.cr_8080_xmlui_bitstream_handle_123456789_293_Edgar_20Enrique_20Casasola_20Murillo.pdf http://repositorio.conicit.go.cr:8080/xmlui/bitstream/handle/123456789/293/Edgar%20Enrique%20Casasola%20Murillo.pdf
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PadraicCashin.html
CarianneMartinez.html
WestleyWeimer.html
StephanieForrest.html
https___dblp.org_rec_conf_kbse_CashinMWF19.bib https://dblp.org/rec/conf/kbse/CashinMWF19.bib
https___doi.org_10.1109_ASE.2019.00046 https://doi.org/10.1109/ASE.2019.00046
http___dx.doi.org_10.1109_ASE.2019.00046 http://dx.doi.org/10.1109/ASE.2019.00046
Casjens_Dissertation Adaption und Vergleich evolutionaerer mehrkriterieller Algorithmen mit Hilfe von Variablenwichtigkeitsmassen
SwaantjeWiardaCasjens.html
https___eldorado.tu-dortmund.de_bitstream_2003_30431_1_Casjens_Dissertation.pdf https://eldorado.tu-dortmund.de/bitstream/2003/30431/1/Casjens_Dissertation.pdf
http___hdl.handle.net_2003_30431 http://hdl.handle.net/2003/30431
https___eldorado.tu-dortmund.de_handle_2003_30431 https://eldorado.tu-dortmund.de/handle/2003/30431
http___dx.doi.org_10.17877_DE290R-5588 http://dx.doi.org/10.17877/DE290R-5588
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FedericoCastejon.html
EnriqueJCarmonaSuarez.html
http___www.sciencedirect.com_science_article_pii_S1568494617305756 http://www.sciencedirect.com/science/article/pii/S1568494617305756
http___dx.doi.org_10.1016_j.asoc.2017.09.036 http://dx.doi.org/10.1016/j.asoc.2017.09.036
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FedericoCastejon.html
EnriqueJCarmonaSuarez.html
http___dx.doi.org_10.1109_ACCESS.2020.3011641 http://dx.doi.org/10.1109/ACCESS.2020.3011641
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EzequielCastellano.html
AhmetCetinkaya.html
CedricHoThanh.html
StefanKlikovits.html
XiaoyiZhang.html
PaoloArcaini.html
https___raw.githubusercontent.com_ERATOMMSD_frenetic-sbst21_main_src_frenetic-sbst21-preprint.pdf https://raw.githubusercontent.com/ERATOMMSD/frenetic-sbst21/main/src/frenetic-sbst21-preprint.pdf
https___github.com_ERATOMMSD_frenetic-sbst21 https://github.com/ERATOMMSD/frenetic-sbst21
https___mmm-www-videos.s3-ap-northeast-1.amazonaws.com_MMMSeminar_etc_2021_SBST_Frenetic_frenetic_talk.mp4 https://mmm-www-videos.s3-ap-northeast-1.amazonaws.com/MMMSeminar/etc/2021_SBST_Frenetic/frenetic_talk.mp4
http___dx.doi.org_10.1109_SBST52555.2021.00016 http://dx.doi.org/10.1109/SBST52555.2021.00016
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JoseACastellanos-Garzon.html
JuanRamos.html
YerayMezquitaMartin.html
JuanFdePaz.html
ErnestoCosta.html
http___link.springer.com_chapter_10.1007_978-3-319-98702-6_24 http://link.springer.com/chapter/10.1007/978-3-319-98702-6_24
http___dx.doi.org_10.1007_978-3-319-98702-6_24 http://dx.doi.org/10.1007/978-3-319-98702-6_24
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JoseACastellanos-Garzon.html
YerayMezquitaMartin.html
JoseLuisJaimesSanchez.html
SantiagoManuelLopezGarcia.html
ErnestoCosta.html
https___www.mdpi.com_2227-9717_8_12_1565 https://www.mdpi.com/2227-9717/8/12/1565
http___dx.doi.org_10.3390_pr8121565 http://dx.doi.org/10.3390/pr8121565
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JoseACastellanos-Garzon.html
ErnestoCosta.html
JoseLuisJaimesS.html
JuanMCorchado.html
http___dx.doi.org_10.1016_j.knosys.2019.104982 http://dx.doi.org/10.1016/j.knosys.2019.104982
http___www.sciencedirect.com_science_article_pii_S0950705119304046 http://www.sciencedirect.com/science/article/pii/S0950705119304046
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JoseACastellanos-Garzon.html
ErnestoCosta.html
JoseLuisSJaimes.html
JuanMCorchado.html
http___dx.doi.org_10.1016_j.mex.2020.100846 http://dx.doi.org/10.1016/j.mex.2020.100846
http___www.sciencedirect.com_science_article_pii_S2215016120300650 http://www.sciencedirect.com/science/article/pii/S2215016120300650
Castelli:2010:cec A comparison of the generalization ability of different genetic programming frameworks
MauroCastelli.html
LucaManzoni.html
SaraSilva.html
LeonardoVanneschi.html
http___dx.doi.org_10.1109_CEC.2010.5585925 http://dx.doi.org/10.1109/CEC.2010.5585925
castelli:2011:EuroGP A Quantitative Study of Learning and Generalization in Genetic Programming
MauroCastelli.html
LucaManzoni.html
SaraSilva.html
LeonardoVanneschi.html
http___dx.doi.org_10.1007_978-3-642-20407-4_3 http://dx.doi.org/10.1007/978-3-642-20407-4_3
conf/lion/CastelliMV11 Multi Objective Genetic Programming for Feature Construction in Classification Problems
MauroCastelli.html
LucaManzoni.html
LeonardoVanneschi.html
http___dx.doi.org_10.1007_978-3-642-25566-3_39 http://dx.doi.org/10.1007/978-3-642-25566-3_39
Castelli:thesis Measures and Methods for Robust Genetic Programming
MauroCastelli.html
http___boa.unimib.it_bitstream_10281_28571_1_Phd_unimib_055904.pdf http://boa.unimib.it/bitstream/10281/28571/1/Phd_unimib_055904.pdf
Castelli:2012:GECCO Parameter tuning of evolutionary reactions systems
MauroCastelli.html
LucaManzoni.html
LeonardoVanneschi.html
http___dx.doi.org_10.1145_2330163.2330265 http://dx.doi.org/10.1145/2330163.2330265
Castelli:2012:arXiv An Efficient Genetic Programming System with Geometric Semantic Operators and its Application to Human Oral Bioavailability Prediction
MauroCastelli.html
LucaManzoni.html
LeonardoVanneschi.html
http___arxiv.org_abs_1208.2437 http://arxiv.org/abs/1208.2437
Castelli:evoapps13 Land Cover/Land Use Multiclass Classification Using GP with Geometric Semantic Operators
MauroCastelli.html
SaraSilva.html
LeonardoVanneschi.html
AnaIsabelRosaCabral.html
MariaJoseVasconcelos.html
LuisCatarino.html
JoaoMBCarreiras.html
http___dx.doi.org_10.1007_978-3-642-37192-9_34 http://dx.doi.org/10.1007/978-3-642-37192-9_34
Castelli:2013:ieeeCybernetics Semantic Search-Based Genetic Programming and the Effect of Intron Deletion
MauroCastelli.html
LeonardoVanneschi.html
SaraSilva.html
http___dx.doi.org_10.1109_TSMCC.2013.2247754 http://dx.doi.org/10.1109/TSMCC.2013.2247754
Castelli:2013:GECCOcomp An efficient implementation of geometric semantic genetic programming for anticoagulation level prediction in pharmacogenetics
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DavideCastaldi.html
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IlariaGiordani.html
FrancescoArchetti.html
DanieleMaccagnola.html
http___dx.doi.org_10.1145_2464576.2464644 http://dx.doi.org/10.1145/2464576.2464644
Castelli:2013:EPIA An Efficient Implementation of Geometric Semantic Genetic Programming for Anticoagulation Level Prediction in Pharmacogenetics
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DavideCastaldi.html
IlariaGiordani.html
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http___link.springer.com_chapter_10.1007_978-3-642-40669-0_8 http://link.springer.com/chapter/10.1007/978-3-642-40669-0_8
http___dx.doi.org_10.1007_978-3-642-40669-0_8 http://dx.doi.org/10.1007/978-3-642-40669-0_8
Castelli:2013:ESA Prediction of high performance concrete strength using Genetic Programming with geometric semantic genetic operators
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LeonardoVanneschi.html
SaraSilva.html
http___dx.doi.org_10.1016_j.eswa.2013.06.037 http://dx.doi.org/10.1016/j.eswa.2013.06.037
http___www.sciencedirect.com_science_article_pii_S0957417413004326 http://www.sciencedirect.com/science/article/pii/S0957417413004326
Castelli:2014:ieeeCybernetics Semantic Search-Based Genetic Programming and the Effect of Intron Deletion
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SaraSilva.html
http___dx.doi.org_10.1109_TSMCC.2013.2247754 http://dx.doi.org/10.1109/TSMCC.2013.2247754
Castelli:2014:ESA Prediction of the Unified Parkinson's Disease Rating Scale assessment using a genetic programming system with geometric semantic genetic operators
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LeonardoVanneschi.html
SaraSilva.html
http___dx.doi.org_10.1016_j.eswa.2014.01.018 http://dx.doi.org/10.1016/j.eswa.2014.01.018
http___www.sciencedirect.com_science_article_pii_S0957417414000396 http://www.sciencedirect.com/science/article/pii/S0957417414000396
Castelli:2014:SMGP The Influence of Population Size on Geometric Semantic GP
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LeonardoVanneschi.html
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Castelli:2014:SMGP2 Self-tuning Geometric Semantic GP
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Castelli:2014:GPEM A C++ framework for geometric semantic genetic programming
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SaraSilva.html
LeonardoVanneschi.html
http___dx.doi.org_10.1007_s10710-014-9218-0 http://dx.doi.org/10.1007/s10710-014-9218-0
Castelli:2014:Cybernetics Corrections to ``Semantic Search Based Genetic Programming and the Effect of Introns Deletion'' [Jan 14 103-113]
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LeonardoVanneschi.html
SaraSilva.html
http___dx.doi.org_10.1109_TCYB.2014.2303551 http://dx.doi.org/10.1109/TCYB.2014.2303551
Castelli:2014:GPTP How to Exploit Alignment in the Error Space: Two Different GP Models
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SaraSilva.html
StefanoRuberto.html
http___dx.doi.org_10.1007_978-3-319-16030-6_8 http://dx.doi.org/10.1007/978-3-319-16030-6_8
Castelli:2015:Neurocomputing A geometric semantic genetic programming system for the electoral redistricting problem
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RobertoHenriques.html
LeonardoVanneschi.html
http___dx.doi.org_10.1016_j.neucom.2014.12.003 http://dx.doi.org/10.1016/j.neucom.2014.12.003
http___www.sciencedirect.com_science_article_pii_S0925231214016671 http://www.sciencedirect.com/science/article/pii/S0925231214016671
Castelli:2015:EE Forecasting short-term electricity consumption using a semantics-based genetic programming framework: The South Italy case
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LeonardoVanneschi.html
MatteoDeFelice.html
http___dx.doi.org_10.1016_j.eneco.2014.10.009 http://dx.doi.org/10.1016/j.eneco.2014.10.009
http___www.sciencedirect.com_science_article_pii_S0140988314002539 http://www.sciencedirect.com/science/article/pii/S0140988314002539
Castelli:2015:FireEcology Predicting Burned Areas of Forest Fires: an Artificial Intelligence Approach
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AlesPopovic.html
http___dx.doi.org_10.4996_fireecology.1101106 http://dx.doi.org/10.4996/fireecology.1101106
Castelli:2015:CINS Energy Consumption Forecasting using Semantics Based Genetic Programming with Local Search Optimizer
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LeonardoTrujillo.html
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Castelli:2015:GECCO Geometric Semantic Genetic Programming with Local Search
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SaraSilva.html
EmigdioZ-Flores.html
PierrickLegrand.html
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http___dx.doi.org_10.1145_2739480.2754795 http://dx.doi.org/10.1145/2739480.2754795
conf/epia/CastelliFMV15 Electricity Demand Modelling with Genetic Programming
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MatteoDeFelice.html
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LeonardoVanneschi.html
http___dx.doi.org_10.1007_978-3-319-23485-4 http://dx.doi.org/10.1007/978-3-319-23485-4
Castelli:2015:EB Prediction of energy performance of residential buildings: a genetic programming approach
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AlesPopovic.html
http___www.sciencedirect.com_science_article_pii_S0378778815003849 http://www.sciencedirect.com/science/article/pii/S0378778815003849
http___dx.doi.org_10.1016_j.enbuild.2015.05.013 http://dx.doi.org/10.1016/j.enbuild.2015.05.013
Castelli:2016:GPEM Self-tuning geometric semantic Genetic Programming
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LeonardoVanneschi.html
SaraSilva.html
AlesPopovic.html
http___dx.doi.org_10.1007_s10710-015-9251-7 http://dx.doi.org/10.1007/s10710-015-9251-7
Castelli:2015:ASC Prediction of relative position of CT slices using a computational intelligence system
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LeonardoTrujillo.html
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AlesPopovic.html
http___dx.doi.org_10.1016_j.asoc.2015.09.021 http://dx.doi.org/10.1016/j.asoc.2015.09.021
http___www.sciencedirect.com_science_article_pii_S1568494615005931 http://www.sciencedirect.com/science/article/pii/S1568494615005931
Castelli:2016:SEC Semantic genetic programming for fast and accurate data knowledge discovery
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LucaManzoni.html
AlesPopovic.html
http___dx.doi.org_10.1016_j.swevo.2015.07.001 http://dx.doi.org/10.1016/j.swevo.2015.07.001
http___www.sciencedirect.com_science_article_pii_S2210650215000516 http://www.sciencedirect.com/science/article/pii/S2210650215000516
Castelli:2016:IJBIC Parameter evaluation of geometric semantic genetic programming in pharmacokinetics
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AlesPopovic.html
http___www.inderscience.com_link.php_id_74634 http://www.inderscience.com/link.php?id=74634
http___dx.doi.org_10.1504_IJBIC.2016.074634 http://dx.doi.org/10.1504/IJBIC.2016.074634
Castelli:2016:CIN Controlling Individuals Growth in Semantic Genetic Programming through Elitist Replacement
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AlesPopovic.html
http___dx.doi.org_10.1155_2016_8326760 http://dx.doi.org/10.1155/2016/8326760
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castelli2016analysis An Analysis of Geometric Semantic Crossover: A Computational Geometry Approach
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IvoGoncalves.html
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LeonardoTrujillo.html
SaraSilva.html
http___dx.doi.org_10.5220_0006056402010208 http://dx.doi.org/10.5220/0006056402010208
castelli:2017:jaihc Predicting per capita violent crimes in urban areas: an artificial intelligence approach
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RaulSormani.html
LeonardoTrujillo.html
AlesPopovic.html
http___dx.doi.org_10.1007_s12652-015-0334-3 http://dx.doi.org/10.1007/s12652-015-0334-3
journals/ijbic/CastelliVTP17 Stock index return forecasting: semantics-based genetic programming with local search optimiser
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LeonardoTrujillo.html
AlesPopovic.html
http___dx.doi.org_10.1504_IJBIC.2017.10004325 http://dx.doi.org/10.1504/IJBIC.2017.10004325
Castelli:2017:GP EuroGP 2017: Proceedings of the 20th European Conference on Genetic Programming
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JamesMcDermott.html
LukasSekanina.html
http___dx.doi.org_10.1007_978-3-319-55696-3 http://dx.doi.org/10.1007/978-3-319-55696-3
Castelli:2017:SEC The influence of population size in geometric semantic GP
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SaraSilva.html
LeonardoVanneschi.html
AlesPopovic.html
http___dx.doi.org_10.1016_j.swevo.2016.05.004 http://dx.doi.org/10.1016/j.swevo.2016.05.004
http___www.sciencedirect.com_science_article_pii_S2210650216300256 http://www.sciencedirect.com/science/article/pii/S2210650216300256
Castelli:2017:ESA An expert system for extracting knowledge from customers' reviews: The case of Amazon.com, Inc.
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LucaManzoni.html
LeonardoVanneschi.html
AlesPopovic.html
http___dx.doi.org_10.1016_j.eswa.2017.05.008 http://dx.doi.org/10.1016/j.eswa.2017.05.008
http___www.sciencedirect.com_science_article_pii_S0957417417303263 http://www.sciencedirect.com/science/article/pii/S0957417417303263
Castelli:2017:CandC An evolutionary system for the prediction of high performance concrete strength based on semantic genetic programming
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IvoGoncalves.html
AlesPopovic.html
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http___dx.doi.org_10.12989_cac.2017.19.6.651 http://dx.doi.org/10.12989/cac.2017.19.6.651
castelli2017evolutionary An evolutionary system for ozone concentration forecasting
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IvoGoncalves.html
LeonardoTrujillo.html
AlesPopovic.html
http___dx.doi.org_10.1007_s10796-016-9706-2 http://dx.doi.org/10.1007/s10796-016-9706-2
Castelli:2018:GP EuroGP 2018: Proceedings of the 21st European Conference on Genetic Programming
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LukasSekanina.html
MengjieZhang.html
https___link.springer.com_book_10.1007_2F978-3-319-77553-1 https://link.springer.com/book/10.1007%2F978-3-319-77553-1
http___dx.doi.org_10.1007_978-3-319-77553-1 http://dx.doi.org/10.1007/978-3-319-77553-1
Castelli:2018:EuroGP Pruning Techniques for Mixed Ensembles of Genetic Programming Models
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IvoGoncalves.html
LucaManzoni.html
LeonardoVanneschi.html
http___dx.doi.org_10.1007_978-3-319-77553-1_4 http://dx.doi.org/10.1007/978-3-319-77553-1_4
DBLP:conf/epia/CastelliMMS19 Extending Local Search in Geometric Semantic Genetic Programming
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LucaMariot.html
MartinaSaletta.html
https___doi.org_10.1007_978-3-030-30241-2_64 https://doi.org/10.1007/978-3-030-30241-2_64
http___dx.doi.org_10.1007_978-3-030-30241-2_64 http://dx.doi.org/10.1007/978-3-030-30241-2_64
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CASTELLI:2019:SoftwareX GSGP-C++ 2.0: A geometric semantic genetic programming framework
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http___dx.doi.org_10.1016_j.softx.2019.100313 http://dx.doi.org/10.1016/j.softx.2019.100313
http___www.sciencedirect.com_science_article_pii_S2352711019301736 http://www.sciencedirect.com/science/article/pii/S2352711019301736
castelli:2020:Algorithms Forecasting Electricity Prices: A Machine Learning Approach
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AlesGroznik.html
AlesPopovic.html
https___www.mdpi.com_1999-4893_13_5_119 https://www.mdpi.com/1999-4893/13/5/119
http___dx.doi.org_10.3390_a13050119 http://dx.doi.org/10.3390/a13050119
castelli:2022:AS The Effect of Multi-Generational Selection in Geometric Semantic Genetic Programming
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LucaMariot.html
GiuliamariaMenara.html
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https___www.mdpi.com_2076-3417_12_10_4836 https://www.mdpi.com/2076-3417/12/10/4836
http___dx.doi.org_10.3390_app12104836 http://dx.doi.org/10.3390/app12104836
castelli:2023:GPEM Commentary for the GPEM peer commentary special section on W. B. Langdon's ``Jaws 30''
MauroCastelli.html
https___rdcu.be_drZcv https://rdcu.be/drZcv
http___dx.doi.org_10.1007_s10710-023-09468-w http://dx.doi.org/10.1007/s10710-023-09468-w
castillo:2002:gecco Symbolic Regression In Design Of Experiments: A Case Study With Linearizing Transformations
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http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_gecco2002_gecco-2002-20.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/gecco2002/gecco-2002-20.pdf
Castillo:2003:gecco A Methodology for Combining Symbolic Regression and Design of Experiments to Improve Empirical Model Building
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KenricAMarshall.html
JamesGreen.html
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http___dx.doi.org_10.1007_3-540-45110-2_96 http://dx.doi.org/10.1007/3-540-45110-2_96
castillo:2004:GPTP Using Genetic Programming in Industrial Statistical Model Building
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http___dx.doi.org_10.1007_0-387-23254-0_3 http://dx.doi.org/10.1007/0-387-23254-0_3
castillo:2004:eurogp Comparing hybrid systems to design and optimize artificial neural networks
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JuanJulianMerelo.html
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http___dx.doi.org_10.1007_978-3-540-24650-3_22 http://dx.doi.org/10.1007/978-3-540-24650-3_22
castillo:2004:ueatsvtilmls Using Evolutionary Algorithms to Suggest Variable Transformations in Linear Model Lack-of-Fit Situations
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JeffSweeney.html
WayneZirk.html
http___dx.doi.org_10.1109_CEC.2004.1330906 http://dx.doi.org/10.1109/CEC.2004.1330906
Castillo:2006:GPTP Robust Pareto Front Genetic Programming Parameter Selection Based on Design of Experiments and Industrial Data
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http___dx.doi.org_10.1007_978-0-387-49650-4_10 http://dx.doi.org/10.1007/978-0-387-49650-4_10
1144264 Pareto Front Genetic Programming Parameter Selection Based on Design of Experiments and Industrial Data
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http___dx.doi.org_10.1145_1143997.1144264 http://dx.doi.org/10.1145/1143997.1144264
Castillo:2010:GPTP Genetic Programming Transforms in Linear Regression Situations
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http___dx.doi.org_10.1007_978-1-4419-7747-2_11 http://dx.doi.org/10.1007/978-1-4419-7747-2_11
Castillo:2012:GPTP Symbolic Regression Model Comparison Approach Using Transmitted Variation
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http___dx.doi.org_10.1007_978-1-4614-6846-2_10 http://dx.doi.org/10.1007/978-1-4614-6846-2_10
http___dx.doi.org_10.1007_978-1-4614-6846-2_10 http://dx.doi.org/10.1007/978-1-4614-6846-2_10
Castillo:2012:JILSA Document Clustering with Evolutionary Systems through Straight-Line Programs "slp"
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http___dx.doi.org_10.4236_jilsa.2012.44032 http://dx.doi.org/10.4236/jilsa.2012.44032
Castle:2010:EuroGP Positional Effect of Crossover and Mutation in Grammatical Evolution
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http___dx.doi.org_10.1007_978-3-642-12148-7_3 http://dx.doi.org/10.1007/978-3-642-12148-7_3
castle:2012:EuroGP Evolving High-Level Imperative Program Trees with Strongly Formed Genetic Programming
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ColinGJohnson.html
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http___dx.doi.org_10.1007_978-3-642-29139-5_1 http://dx.doi.org/10.1007/978-3-642-29139-5_1
Castle:2012:CEC Evolving Program Trees with Limited Scope Variable Declarations
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http___www.cs.kent.ac.uk_pubs_2012_3213_index.html http://www.cs.kent.ac.uk/pubs/2012/3213/index.html
http___dx.doi.org_10.1109_CEC.2012.6256547 http://dx.doi.org/10.1109/CEC.2012.6256547
Castle12 Evolving High-Level Imperative Program Trees with Genetic Programming
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http___kar.kent.ac.uk_34799_ http://kar.kent.ac.uk/34799/
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Castro:2015:OE Genetic programming and floating boom performance
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JRRabunal.html
GIglesias.html
http___dx.doi.org_10.1016_j.oceaneng.2015.05.023 http://dx.doi.org/10.1016/j.oceaneng.2015.05.023
http___www.sciencedirect.com_science_article_pii_S0029801815002073 http://www.sciencedirect.com/science/article/pii/S0029801815002073
Castro:2019:BigDataSE AIMED: Evolving Malware with Genetic Programming to Evade Detection
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http___dx.doi.org_10.1109_TrustCom_BigDataSE.2019.00040 http://dx.doi.org/10.1109/TrustCom/BigDataSE.2019.00040
DBLP:journals/corr/abs-2211-05723 A Python library for nonlinear system identification using Multi-Gene Genetic Programming algorithm
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https___doi.org_10.48550_arXiv.2211.05723 https://doi.org/10.48550/arXiv.2211.05723
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https___dblp.org_rec_journals_corr_abs-2211-05723.bib https://dblp.org/rec/journals/corr/abs-2211-05723.bib
Casula:2009:APSURSI Genetic Programming design of wire antennas
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GiuseppeMazzarella.html
NicolaSirena.html
http___dx.doi.org_10.1109_APS.2009.5171505 http://dx.doi.org/10.1109/APS.2009.5171505
Casula:2012:GPnew Structure-Based Evolutionary Design Applied to Wire Antennas
AndreaCasula.html
GiuseppeMazzarella.html
http___dx.doi.org_10.5772_48249 http://dx.doi.org/10.5772/48249
conf/dcai/CatoiraPR10 Distributed Genetic Programming for Obtaining Formulas: Application to Concrete Strength
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JuanLuisPerez.html
JuanRamonRabunalDopico.html
http___dx.doi.org_10.1007_978-3-642-14883-5_46 http://dx.doi.org/10.1007/978-3-642-14883-5_46
Cattani:2009:UKCI Typed Cartesian Genetic Programming for Image Classification
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ColinGJohnson.html
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http___www.cs.kent.ac.uk_pubs_2009_2971_content.pdf http://www.cs.kent.ac.uk/pubs/2009/2971/content.pdf
Cattani:2010:cec ME-CGP: Multi Expression Cartesian Genetic Programming
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ColinGJohnson.html
http___dx.doi.org_10.1109_CEC.2010.5586478 http://dx.doi.org/10.1109/CEC.2010.5586478
Cattani:thesis Extending Cartesian genetic programming : multi-expression genomes and applications in image processing and classification
PhilipTCattani.html
https___ethos.bl.uk_OrderDetails.do_uin_uk.bl.ethos.655651 https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.655651
cattral:1999:RAGA Rule Acquisition with a Genetic Algorithm
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Cavaglia:2017:APS LIGO detector characterization with genetic programming
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HunterGabbard.html
http___absimage.aps.org_image_APR17_MWS_APR17-2016-000316.pdf http://absimage.aps.org/image/APR17/MWS_APR17-2016-000316.pdf
http___meetings.aps.org_link_BAPS.2017.APR.X6.8 http://meetings.aps.org/link/BAPS.2017.APR.X6.8
http___meetings.aps.org_Meeting_APR17_Session_X6.8 http://meetings.aps.org/Meeting/APR17/Session/X6.8
Cavaglia:2018:arXiv Finding the origin of noise transients in LIGO data with machine learning
MarcoCavaglia.html
KaiStaats.html
TeerthGill.html
https___arxiv.org_abs_1812.05225 https://arxiv.org/abs/1812.05225
Cavaglia:2019:CCP Finding the origin of noise transients in LIGO data with machine learning
MarcoCavaglia.html
KaiStaats.html
TeerthGill.html
https___arxiv.org_abs_1812.05225 https://arxiv.org/abs/1812.05225
http___dx.doi.org_10.4208_cicp.OA-2018-0092 http://dx.doi.org/10.4208/cicp.OA-2018-0092
Cavalcanti-Costa:2021:CEC Learning Initialisation Heuristic for Large Scale Vehicle Routing Problem with Genetic Programming
JoaoGuilhermeCavalcantiCosta.html
YiMei.html
MengjieZhang.html
http___dx.doi.org_10.1109_CEC45853.2021.9504938 http://dx.doi.org/10.1109/CEC45853.2021.9504938
Cavalcanti-Costa:2021:SSCI Learning Penalisation Criterion of Guided Local Search for Large Scale Vehicle Routing Problem
JoaoGuilhermeCavalcantiCosta.html
YiMei.html
MengjieZhang.html
http___dx.doi.org_10.1109_SSCI50451.2021.9659939 http://dx.doi.org/10.1109/SSCI50451.2021.9659939
Cavaliere:2020:ISCC Parkinson's Disease Diagnosis: Towards Grammar-based Explainable Artificial Intelligence
FedericaCavaliere.html
AntonioDellaCioppa.html
AngeloMarcelli.html
AntonioParziale.html
RosaSenatore.html
https___easychair.org_publications_preprint_download_1Sh4 https://easychair.org/publications/preprint_download/1Sh4
https___easychair.org_publications_preprint_download_1Sh4_EasyChair-Preprint-3785.pdf https://easychair.org/publications/preprint_download/1Sh4/EasyChair-Preprint-3785.pdf
http___dx.doi.org_10.1109_ISCC50000.2020.9219616 http://dx.doi.org/10.1109/ISCC50000.2020.9219616
cavaretta:1999:DMGPTIPGE Data Mining using Genetic Programming: The Implications of Parsimony on Generalization Error
MichaelJCavaretta.html
KumarChellapilla.html
http___dx.doi.org_10.1109_CEC.1999.782602 http://dx.doi.org/10.1109/CEC.1999.782602
1068300 Multi-chromosomal genetic programming
RachelCavill.html
StephenLSmith.html
AndrewMTyrrell.html
http___gpbib.cs.ucl.ac.uk_gecco2005_docs_p1753.pdf http://gpbib.cs.ucl.ac.uk/gecco2005/docs/p1753.pdf
http___dx.doi.org_10.1145_1068009.1068300 http://dx.doi.org/10.1145/1068009.1068300
Cavill:Tpo:cec2005 The performance of polyploid evolutionary algorithms is improved both by having many chromosomes and by having many copies of each chromosome on symbolic regression problems
RachelCavill.html
StephenLSmith.html
AndrewMTyrrell.html
http___ieeexplore.ieee.org_servlet_opac_punumber_10417_isvol_1 http://ieeexplore.ieee.org/servlet/opac?punumber=10417&isvol=1
http___ieeexplore.ieee.org_servlet_opac_punumber_10417 http://ieeexplore.ieee.org/servlet/opac?punumber=10417
http___dx.doi.org_10.1109_CEC.2005.1554783 http://dx.doi.org/10.1109/CEC.2005.1554783
cavill_mcgp Multi-Chromosomal Genetic Programming
RachelCavill.html
http___ethos.bl.uk_OrderDetails.do_did_7_uin_uk.bl.ethos.437617 http://ethos.bl.uk/OrderDetails.do?did=7&uin=uk.bl.ethos.437617
DBLP:journals/ijait/Cazenave13 Monte-Carlo Expression Discovery
TristanCazenave.html
http___www.lamsade.dauphine.fr__cazenave_papers_MCExpression.pdf http://www.lamsade.dauphine.fr/~cazenave/papers/MCExpression.pdf
http___dx.doi.org_10.1142_S0218213012500352 http://dx.doi.org/10.1142/S0218213012500352
Cazenave:2015: Forecasting Financial Volatility Using Nested Monte Carlo Expression Discovery
TristanCazenave.html
SanaBenHamida.html
http___dx.doi.org_10.1109_SSCI.2015.110 http://dx.doi.org/10.1109/SSCI.2015.110
cebrian:2004:IESANN Acceleration of a procedure to generate fractal curves of a given dimension through the probabilistic analysis of execution time
ManuelCebrian.html
AlfonsoOrtegadelaPuente.html
ManuelAlfonseca.html
http___www.ii.uam.es__alfonsec_docs_annie.pdf http://www.ii.uam.es/~alfonsec/docs/annie.pdf
1277388 Automatic generation of benchmarks for plagiarism detection tools using grammatical evolution
ManuelCebrian.html
ManuelAlfonseca.html
AlfonsoOrtegadelaPuente.html
http___gpbib.cs.ucl.ac.uk_gecco2007_docs_p2253.pdf http://gpbib.cs.ucl.ac.uk/gecco2007/docs/p2253.pdf
http___dx.doi.org_10.1145_1276958.1277388 http://dx.doi.org/10.1145/1276958.1277388
Cebrian_Ramos:thesis Using Algorithmic Information Theory and Stochastic Modeling to Improve Classification and Evolutionary Computation
ManuelCebrian.html
http___digitool-uam.greendata.es_1801_webclient_DeliveryManager_pid_3411.pdf http://digitool-uam.greendata.es:1801/webclient/DeliveryManager?pid=3411.pdf
http___hdl.handle.net_10486_2301 http://hdl.handle.net/10486/2301
Cebrian:2009:ieeeTEC Towards the Validation of Plagiarism Detection Tools by Means of Grammar Evolution
ManuelCebrian.html
ManuelAlfonseca.html
AlfonsoOrtegadelaPuente.html
http___dx.doi.org_10.1109_TEVC.2008.2008797 http://dx.doi.org/10.1109/TEVC.2008.2008797
Celik:2021:PAMI Adaptation Strategies for Automated Machine Learning on Evolving Data
BilgeCelik.html
JoaquinVanschoren.html
http___dx.doi.org_10.1109_TPAMI.2021.3062900 http://dx.doi.org/10.1109/TPAMI.2021.3062900
Cellini:2004:FCT Unintended effects and their detection in genetically modified crops
FCellini.html
AndrewChesson.html
IanColquhoun.html
AnneConstable.html
HowardDavies.html
Karl-HeinzEngel.html
AngharadMRGatehouse.html
SKarenlampi.html
EJKok.html
Jean-JacquesLeguay.html
SatuJLehesranta.html
HPJMNoteborn.html
JPedersen.html
MSmith.html
http___www.entransfood.com_products_publications_WG2_paper_rev1_19jan2004_unmarked.pdf http://www.entransfood.com/products/publications/WG2_paper_rev1_19jan2004_unmarked.pdf
http___dx.doi.org_10.1016_j.fct.2004.02.003 http://dx.doi.org/10.1016/j.fct.2004.02.003
Cerda:2015:CSCI Limitations of Genetic Programming Applied to Incipient Fault Detection: SFRA as Example
JaimeCerda.html
AlbertoAvalos.html
MarioGraffGuerrero.html
http___dx.doi.org_10.1109_CSCI.2015.168 http://dx.doi.org/10.1109/CSCI.2015.168
Cerny:2008:gecco Using differential evolution for symbolic regression and numerical constant creation
BrianMCerny.html
PeterCNelson.html
ChiZhou.html
http___gpbib.cs.ucl.ac.uk_gecco2008_docs_p1195.pdf http://gpbib.cs.ucl.ac.uk/gecco2008/docs/p1195.pdf
http___dx.doi.org_10.1145_1389095.1389331 http://dx.doi.org/10.1145/1389095.1389331
Cerny:mastersthesis Evolutionary Design of Robot Motion Patterns
JanCerny.html
http___cyber.felk.cvut.cz_research_theses_detail.phtml_id_226 http://cyber.felk.cvut.cz/research/theses/detail.phtml?id=226
http___cyber.felk.cvut.cz_research_theses_papers_226.pdf http://cyber.felk.cvut.cz/research/theses/papers/226.pdf
Cerny:evoapps13 Co-evolutionary Approach to Design of Robotic Gait
JanCerny.html
JiriKubalik.html
http___dx.doi.org_10.1007_978-3-642-37192-9_55 http://dx.doi.org/10.1007/978-3-642-37192-9_55
Cerri:2013:CEC A Grammatical Evolution Algorithm for Generation of Hierarchical Multi-Label Classification Rules
RicardoCerri.html
RodrigoCBarros.html
AndrePoncedeLeonFdeCarvalho.html
AlexAlvesFreitas.html
http___dx.doi.org_10.1109_CEC.2013.6557604 http://dx.doi.org/10.1109/CEC.2013.6557604
cervigon:2023:GECCOcomp Estimation of Interstitial Glucose from Physical Activity Measures Using Grammatical Evolution
CarlosCervigonRuckauer.html
JoseIgnacioHidalgoPerez.html
http___dx.doi.org_10.1145_3583133.3596432 http://dx.doi.org/10.1145/3583133.3596432
Ceryan:2016:CEECMTA A Review of Soft Computing Methods Application in Rock Mechanic Engineering
NurcihanCeryan.html
https___www.igi-global.com_chapter_a-review-of-soft-computing-methods-application-in-rock-mechanic-engineering_144518 https://www.igi-global.com/chapter/a-review-of-soft-computing-methods-application-in-rock-mechanic-engineering/144518
http___dx.doi.org_10.4018_978-1-4666-9619-8.ch027 http://dx.doi.org/10.4018/978-1-4666-9619-8.ch027
Ceska:2017:ICCAD Approximating Complex Arithmetic Circuits with Formal Error Guarantees: 32-bit Multipliers Accomplished
MilanCeska.html
JiriMatyas.html
VojtechMrazek.html
LukasSekanina.html
ZdenekVasicek.html
TomasVojnar.html
http___www.fit.vutbr.cz_research_view_pub.php_id_11420 http://www.fit.vutbr.cz/research/view_pub.php?id=11420
http___dx.doi.org_10.1109_ICCAD.2017.8203807 http://dx.doi.org/10.1109/ICCAD.2017.8203807
Ceska:2018:CAV ADAC: Automated Design of Approximate Circuits
MilanCeska.html
JiriMatyas.html
VojtechMrazek.html
LukasSekanina.html
ZdenekVasicek.html
TomasVojnar.html
http___dx.doi.org_10.1007_978-3-319-96145-3_35 http://dx.doi.org/10.1007/978-3-319-96145-3_35
CESKA:2020:ASC Adaptive verifiability-driven strategy for evolutionary approximation of arithmetic circuits
MilanCeska.html
JiriMatyas.html
VojtechMrazek.html
LukasSekanina.html
ZdenekVasicek.html
TomasVojnar.html
http___dx.doi.org_10.1016_j.asoc.2020.106466 http://dx.doi.org/10.1016/j.asoc.2020.106466
http___www.sciencedirect.com_science_article_pii_S1568494620304063 http://www.sciencedirect.com/science/article/pii/S1568494620304063
Ceska:2019:EUROCAST Approximating Complex Arithmetic Circuits with Guaranteed Worst-Case Relative Error
MilanCeskajr.html
MilanCeska.html
JiriMatyas.html
AdamPankuch.html
TomasVojnar.html
http___dx.doi.org_10.1007_978-3-030-45093-9_58 http://dx.doi.org/10.1007/978-3-030-45093-9_58
CESKA:2022:SEC SagTree: Towards efficient mutation in evolutionary circuit approximation
MilanCeska.html
JiriMatyas.html
VojtechMrazek.html
LukasSekanina.html
ZdenekVasicek.html
TomasVojnar.html
http___dx.doi.org_10.1016_j.swevo.2021.100986 http://dx.doi.org/10.1016/j.swevo.2021.100986
https___www.sciencedirect.com_science_article_pii_S2210650221001486 https://www.sciencedirect.com/science/article/pii/S2210650221001486
1274089 Regular expression generation through grammatical evolution
AhmetCetinkaya.html
http___gpbib.cs.ucl.ac.uk_gecco2007_docs_p2643.pdf http://gpbib.cs.ucl.ac.uk/gecco2007/docs/p2643.pdf
http___dx.doi.org_10.1145_1274000.1274089 http://dx.doi.org/10.1145/1274000.1274089
DBLP:conf/inns/CettoBXM19 Size/Accuracy Trade-Off in Convolutional Neural Networks: An Evolutionary Approach
TomasoCetto.html
JonathanByrne.html
XiaofanXu.html
DavidMoloney.html
http___dx.doi.org_10.1007_978-3-030-16841-4_3 http://dx.doi.org/10.1007/978-3-030-16841-4_3
https___dblp.org_rec_conf_inns_CettoBXM19.bib https://dblp.org/rec/conf/inns/CettoBXM19.bib
Cevik:2007:ES A soft computing based approach for the prediction of ultimate strength of metal plates in compression
AbdulkadirCevik.html
IbrahimHGuzelbey.html
http___dx.doi.org_10.1016_j.engstruct.2006.05.005 http://dx.doi.org/10.1016/j.engstruct.2006.05.005
Cevik:2007:JCSR A new formulation for web crippling strength of cold-formed steel sheeting using genetic programming
AbdulkadirCevik.html
http___dx.doi.org_10.1016_j.jcsr.2006.08.012 http://dx.doi.org/10.1016/j.jcsr.2006.08.012
Cevik:2007:JCSRa Genetic programming based formulation of rotation capacity of wide flange beams
AbdulkadirCevik.html
http___dx.doi.org_10.1016_j.jcsr.2006.09.004 http://dx.doi.org/10.1016/j.jcsr.2006.09.004
Cevik:2007:JCSRb A new formulation for longitudinally stiffened webs subjected to patch loading
AbdulkadirCevik.html
http___dx.doi.org_10.1016_j.jcsr.2006.12.004 http://dx.doi.org/10.1016/j.jcsr.2006.12.004
Cevik2008117 Unified formulation for ultimate capacity of shear failure of arc spot welding using genetic programming
AbdulkadirCevik.html
http___dx.doi.org_10.1016_j.jmatprotec.2007.10.064 http://dx.doi.org/10.1016/j.jmatprotec.2007.10.064
http___www.sciencedirect.com_science_article_B6TGJ-4R2H7VY-3_2_b16ece537522603ec7cc693ad17fd283 http://www.sciencedirect.com/science/article/B6TGJ-4R2H7VY-3/2/b16ece537522603ec7cc693ad17fd283
Cevik2008:ESwA1 Modelling damping ratio and shear modulus of sand-mica mixtures using genetic programming
AbdulkadirCevik.html
AliFiratCabalar.html
http___www.sciencedirect.com_science_article_B6V03-4TGHN90-2_2_78164c859cf3127425aedcca7e6f7d21 http://www.sciencedirect.com/science/article/B6V03-4TGHN90-2/2/78164c859cf3127425aedcca7e6f7d21
http___dx.doi.org_10.1016_j.eswa.2008.09.010 http://dx.doi.org/10.1016/j.eswa.2008.09.010
Cevik:2008:ESwA2 Flexural buckling load prediction of aluminium alloy columns using soft computing techniques
AbdulkadirCevik.html
NihatAtmaca.html
TalhaEkmekyapar.html
IbrahimHGuzelbey.html
http___dx.doi.org_10.1016_j.eswa.2008.08.011 http://dx.doi.org/10.1016/j.eswa.2008.08.011
http___www.sciencedirect.com_science_article_B6V03-4TB6X28-1_2_3f64ccc54bc41be648922dc688ccad4a http://www.sciencedirect.com/science/article/B6V03-4TB6X28-1/2/3f64ccc54bc41be648922dc688ccad4a
Cevik2010527 Soft computing based formulation for strength enhancement of CFRP confined concrete cylinders
AbdulkadirCevik.html
MTolgaGogus.html
IbrahimHGuzelbey.html
YHuseyinFiliz.html
http___dx.doi.org_10.1016_j.advengsoft.2009.10.015 http://dx.doi.org/10.1016/j.advengsoft.2009.10.015
http___www.sciencedirect.com_science_article_B6V1P-4XPBSMR-1_2_fce8b7ee023873cc437bf1c86ee3eb19 http://www.sciencedirect.com/science/article/B6V1P-4XPBSMR-1/2/fce8b7ee023873cc437bf1c86ee3eb19
Cevik20112587 Modeling of the uniaxial compressive strength of some clay-bearing rocks using neural network
AbdulkadirCevik.html
EbruAkcapinarSezer.html
AliFiratCabalar.html
CandanGokceoglu.html
http___dx.doi.org_10.1016_j.asoc.2010.10.008 http://dx.doi.org/10.1016/j.asoc.2010.10.008
http___www.sciencedirect.com_science_article_B6W86-51F7PJN-1_2_29835a31bf86c4e457cfa3e0ae15bae5 http://www.sciencedirect.com/science/article/B6W86-51F7PJN-1/2/29835a31bf86c4e457cfa3e0ae15bae5
Cevik20115650 Neuro-fuzzy modeling of rotation capacity of wide flange beams
AbdulkadirCevik.html
http___dx.doi.org_10.1016_j.eswa.2010.10.070 http://dx.doi.org/10.1016/j.eswa.2010.10.070
http___www.sciencedirect.com_science_article_B6V03-51CJ387-K_2_ce5fff4acc0b21a9cd4c1ac3c5afe7df http://www.sciencedirect.com/science/article/B6V03-51CJ387-K/2/ce5fff4acc0b21a9cd4c1ac3c5afe7df
Cevik20115662 Modeling strength enhancement of FRP confined concrete cylinders using soft computing
AbdulkadirCevik.html
http___dx.doi.org_10.1016_j.eswa.2010.10.069 http://dx.doi.org/10.1016/j.eswa.2010.10.069
http___www.sciencedirect.com_science_article_B6V03-51CJ387-J_2_4b0e7942a4c46980f638964d442e332a http://www.sciencedirect.com/science/article/B6V03-51CJ387-J/2/4b0e7942a4c46980f638964d442e332a
Chadalawada:2014:HIC Induction Of Governing Differential Equations From Hydrologic Time Series Data Using Genetic Programming
JayashreeChadalawada.html
VladanBabovic.html
http___www.hic2014.org_xmlui_Chadalawada_2014_HIC.pdf http://www.hic2014.org/xmlui/Chadalawada_2014_HIC.pdf
Chadalawada:2016:PE Genetic Programming Based Approach Towards Understanding the Dynamics of Urban Rainfall-runoff Process
JayashreeChadalawada.html
VojtechHavlicek.html
VladanBabovic.html
http___dx.doi.org_10.1016_j.proeng.2016.07.601 http://dx.doi.org/10.1016/j.proeng.2016.07.601
http___www.sciencedirect.com_science_article_pii_S1877705816319907 http://www.sciencedirect.com/science/article/pii/S1877705816319907
chadalawada:2017:WRM A Genetic Programming Approach to System Identification of Rainfall-Runoff Models
JayashreeChadalawada.html
VojtechHavlicek.html
VladanBabovic.html
http___link.springer.com_article_10.1007_s11269-017-1719-1 http://link.springer.com/article/10.1007/s11269-017-1719-1
http___dx.doi.org_10.1007_s11269-017-1719-1 http://dx.doi.org/10.1007/s11269-017-1719-1
chai:2000:DCCPDGP Development of a Computer Controller Players for Daleks using Genetic Programming
DanielChai.html
Chakraborti:2013:IMSE Evolutionary Data-Driven Modeling
NirupamChakraborti.html
http___dx.doi.org_10.1016_B978-0-12-394399-6.00005-9 http://dx.doi.org/10.1016/B978-0-12-394399-6.00005-9
http___www.sciencedirect.com_science_article_pii_B9780123943996000059 http://www.sciencedirect.com/science/article/pii/B9780123943996000059
Chakraborti:2015:csdc Data-driven paradigms of EvoNN and BioGP
NirupamChakraborti.html
http___cs-dc-15.org_ http://cs-dc-15.org/
http___cs-dc-15.org_papers_multi-scale-dynamics_evol-comp-methods-2_data-driven-paradigms-of-evonn-and-biogp_ http://cs-dc-15.org/papers/multi-scale-dynamics/evol-comp-methods-2/data-driven-paradigms-of-evonn-and-biogp/
http___bbb.univ-paris8.fr_playback_presentation_0.9.0_playback.html_meetingId_abfae475e9e5adf03d2df42d7d34f47e8e173fdc-1443413857859 http://bbb.univ-paris8.fr/playback/presentation/0.9.0/playback.html?meetingId=abfae475e9e5adf03d2df42d7d34f47e8e173fdc-1443413857859
Chakraborti:book Data-Driven Evolutionary Modeling in Materials Technology
NirupamChakraborti.html
https___www.routledge.com_Data-Driven-Evolutionary-Modeling-in-Materials-Technology_Chakraborti_p_book_9781032061733 https://www.routledge.com/Data-Driven-Evolutionary-Modeling-in-Materials-Technology/Chakraborti/p/book/9781032061733
http___dx.doi.org_10.1201_9781003201045 http://dx.doi.org/10.1201/9781003201045
CHAKRABORTY:2020:CCE Mechanism discovery and model identification using genetic feature extraction and statistical testing
ArijitChakraborty.html
AbhishekSivaram.html
SamavedhamLakshminarayanan.html
VenkatVenkatasubramanian.html
http___dx.doi.org_10.1016_j.compchemeng.2020.106900 http://dx.doi.org/10.1016/j.compchemeng.2020.106900
http___www.sciencedirect.com_science_article_pii_S009813542030123X http://www.sciencedirect.com/science/article/pii/S009813542030123X
Chakraborty:2017:ieeeTC Binary Decision Diagram Assisted Modeling of FPGA-based Physically Unclonable Function by Genetic Programming
RajatSubhraChakraborty.html
RatanRahulJeldi.html
IndrasishSaha.html
JimsonMathew.html
http___dx.doi.org_10.1109_TC.2016.2603498 http://dx.doi.org/10.1109/TC.2016.2603498
Chakraborty:2008:IS Genetic and evolutionary computing
UdayKChakraborty.html
http___dx.doi.org_10.1016_j.ins.2008.07.026 http://dx.doi.org/10.1016/j.ins.2008.07.026
http___www.sciencedirect.com_science_article_pii_S0020025508002855 http://www.sciencedirect.com/science/article/pii/S0020025508002855
Chakraborty:2008:IJICT Genetic programming model of solid oxide fuel cell stack: first results
UdayKChakraborty.html
http___www.inderscience.com_link.php_id_24015 http://www.inderscience.com/link.php?id=24015
http___dx.doi.org_10.1504_IJICT.2008.024015 http://dx.doi.org/10.1504/IJICT.2008.024015
Chakraborty2:2009:cec An Evolutionary Computation Approach to Predicting Output Voltage from Fuel Utilization in SOFC Stacks
UdayKChakraborty.html
http___dx.doi.org_10.1109_CEC.2009.4983209 http://dx.doi.org/10.1109/CEC.2009.4983209
Chakraborty2009740 Static and dynamic modeling of solid oxide fuel cell using genetic programming
UdayKChakraborty.html
http___dx.doi.org_10.1016_j.energy.2009.02.012 http://dx.doi.org/10.1016/j.energy.2009.02.012
http___www.sciencedirect.com_science_article_B6V2S-4W32975-1_2_c334dcacd8fee2c381ecd788e82d33fc http://www.sciencedirect.com/science/article/B6V2S-4W32975-1/2/c334dcacd8fee2c381ecd788e82d33fc
CHAMANI:2020:Desalination CFD-based genetic programming model for liquid entry pressure estimation of hydrophobic membranes
HoomanChamani.html
PelinYazgan-Birgi.html
TakeshiMatsuura.html
DipakRana.html
MohamedIbrahimHassanAli.html
HassanAArafat.html
ChristopherQLan.html
http___dx.doi.org_10.1016_j.desal.2019.114231 http://dx.doi.org/10.1016/j.desal.2019.114231
http___www.sciencedirect.com_science_article_pii_S0011916419318430 http://www.sciencedirect.com/science/article/pii/S0011916419318430
chambers:2001:GPEM Book Review: Genetic Programming and Data Structures: Genetic Programming+Data Structures=Automatic Programming
LanceDChambers.html
http___dx.doi.org_10.1023_A_1011957528066 http://dx.doi.org/10.1023/A:1011957528066
2002ApOpt..41.6260C Inversion of oceanic constituents in case I and II waters with genetic programming algorithms
MalikChami.html
DenisRobilliard.html
http___adsabs.harvard.edu_cgi-bin_nph-bib_query_bibcode_2002ApOpt..41.6260C_db_key_INST http://adsabs.harvard.edu/cgi-bin/nph-bib_query?bibcode=2002ApOpt..41.6260C&db_key=INST
http___ao.osa.org_ViewMedia.cfm_id_70258_seq_0 http://ao.osa.org/ViewMedia.cfm?id=70258&seq=0
http___dx.doi.org_10.1364_AO.41.006260 http://dx.doi.org/10.1364/AO.41.006260
chan:2007:WR Elucidation and short-term forecasting of microcystin concentrations in Lake Suwa (Japan) by means of artificial neural networks and evolutionary algorithms
WaiSumChan.html
FriedrichRecknagel.html
Hong-QingCao.html
Ho-DongPark.html
http___dx.doi.org_10.1016_j.watres.2007.02.001 http://dx.doi.org/10.1016/j.watres.2007.02.001
chan:1995:VEWCUGP Valid English Word Classifier Using Genetic Programming
KingChoiChan.html
chan:2002:AGPFAGP Automatic Generation of Prime Factorization Algorithms using Genetic Programming
DavidMichaelChan.html
http___www.genetic-programming.org_sp2002_Chan.pdf http://www.genetic-programming.org/sp2002/Chan.pdf
chan03 New Factorial Design Theoretic Crossover Operator for Parametrical Problem
KitYanChan.html
MehmetEminAydin.html
TerenceCFogarty.html
http___dx.doi.org_10.1007_3-540-36599-0_3 http://dx.doi.org/10.1007/3-540-36599-0_3
chan03b Experimental design based multi-parent crossover operator
KitYanChan.html
TerenceCFogarty.html
http___dx.doi.org_10.1007_3-540-36599-0_27 http://dx.doi.org/10.1007/3-540-36599-0_27
chan:2004:eurogp An Evolutionary Algorithm for the Input-Output Block Assignment Problem
KitYanChan.html
TerenceCFogarty.html
http___dx.doi.org_10.1007_978-3-540-24650-3_23 http://dx.doi.org/10.1007/978-3-540-24650-3_23
Chan:2009:JED Modelling customer satisfaction for product development using genetic programming
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CheKitKwong.html
TCWong.html
http___dx.doi.org_10.1080_09544820902911374 http://dx.doi.org/10.1080/09544820902911374
Chan:2010:IJPR A genetic programming based fuzzy regression approach to modelling manufacturing processes
KitYanChan.html
CheKitKwong.html
YCTsim.html
http___www.tandfonline.com_doi_abs_10.1080_00207540802644845 http://www.tandfonline.com/doi/abs/10.1080/00207540802644845
http___www.tandfonline.com_doi_pdf_10.1080_00207540802644845 http://www.tandfonline.com/doi/pdf/10.1080/00207540802644845
http___dx.doi.org_10.1080_00207540802644845 http://dx.doi.org/10.1080/00207540802644845
Chan2010506 Modeling manufacturing processes using a genetic programming-based fuzzy regression with detection of outliers
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TerenceCFogarty.html
http___dx.doi.org_10.1016_j.ins.2009.10.007 http://dx.doi.org/10.1016/j.ins.2009.10.007
http___www.sciencedirect.com_science_article_B6V0C-4XFPR3M-3_2_1f27ff77e40dc7d917de59d3555abf36 http://www.sciencedirect.com/science/article/B6V0C-4XFPR3M-3/2/1f27ff77e40dc7d917de59d3555abf36
Chan:2010:ieee-fuzz Using an evolutionary fuzzy regression for affective product design
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CheKitKwong.html
http___dx.doi.org_10.1109_FUZZY.2010.5584493 http://dx.doi.org/10.1109/FUZZY.2010.5584493
Chan:2010:cec Classification of hypoglycemic episodes for Type 1 diabetes mellitus based on neural networks
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SingHoLing.html
TharamSDillon.html
HungNguyen.html
http___dx.doi.org_10.1109_CEC.2010.5586320 http://dx.doi.org/10.1109/CEC.2010.5586320
Chan:2010:cec2 Polynomial modeling for manufacturing processes using a backward elimination based genetic programming
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TharamSDillon.html
CheKitKwong.html
http___dx.doi.org_10.1109_CEC.2010.5586309 http://dx.doi.org/10.1109/CEC.2010.5586309
Chan20111623 Polynomial modeling for time-varying systems based on a particle swarm optimization algorithm
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TharamSDillon.html
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Chan20111648 Reducing overfitting in manufacturing process modeling using a backward elimination based genetic programming
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TharamSDillon.html
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Chan20119799 Diagnosis of hypoglycemic episodes using a neural network based rule discovery system
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TharamSDillon.html
HungNguyen.html
http___dx.doi.org_10.1016_j.eswa.2011.02.020 http://dx.doi.org/10.1016/j.eswa.2011.02.020
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Chan:2011:ICIEA Using genetic programming for developing relationship between engineering characteristics and customer requirements in new products
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CheKitKwong.html
SingHoLing.html
http___dx.doi.org_10.1109_ICIEA.2011.5975642 http://dx.doi.org/10.1109/ICIEA.2011.5975642
Chan:2011:ieeeFUZZ Manufacturing modeling using an evolutionary fuzzy regression
KitYanChan.html
TharamSDillon.html
SingHoLing.html
CheKitKwong.html
http___dx.doi.org_10.1109_FUZZY.2011.6007322 http://dx.doi.org/10.1109/FUZZY.2011.6007322
chan:2012:cia Polynomial Modeling in a Dynamic Environment based on a Particle Swarm Optimization
KitYanChan.html
TharamSDillon.html
http___dx.doi.org_10.1142_9781848166929_0002 http://dx.doi.org/10.1142/9781848166929_0002
http___espace.library.curtin.edu.au_R_func_dbin-jump-full_local_base_gen01-era02_object_id_189166 http://espace.library.curtin.edu.au/R?func=dbin-jump-full&local_base=gen01-era02&object_id=189166
chan:2013:IJAMT Modeling of epoxy dispensing process using a hybrid fuzzy regression approach
KitYanChan.html
CheKitKwong.html
http___espace.library.curtin.edu.au_80_R_func_dbin-jump-full_local_base_gen01-era02_object_id_185726 http://espace.library.curtin.edu.au:80/R?func=dbin-jump-full&local_base=gen01-era02&object_id=185726
http___dx.doi.org_10.1007_s00170-012-4202-4 http://dx.doi.org/10.1007/s00170-012-4202-4
Chan:2015:ieeeFUZZ A Stepwise-Based Fuzzy Regression Procedure for Developing Customer Preference Models in New Product Development
KitYanChan.html
Hak-KeungLam.html
TharamSDillon.html
SaiHoLing.html
http___dx.doi.org_10.1109_TFUZZ.2014.2375911 http://dx.doi.org/10.1109/TFUZZ.2014.2375911
Chan:2017:ieeeSMCS A Flexible Fuzzy Regression Method for Addressing Nonlinear Uncertainty on Aesthetic Quality Assessments
KitYanChan.html
Hak-KeungLam.html
CedricKaFaiYiu.html
TharamSDillon.html
https___ieeexplore.ieee.org_document_7907344_ https://ieeexplore.ieee.org/document/7907344/
http___dx.doi.org_10.1109_TSMC.2017.2672997 http://dx.doi.org/10.1109/TSMC.2017.2672997
CHAN:2020:EAAI Predicting customer satisfaction based on online reviews and hybrid ensemble genetic programming algorithms
KitYanChan.html
CheKitKwong.html
GulEKremer.html
http___dx.doi.org_10.1016_j.engappai.2020.103902 http://dx.doi.org/10.1016/j.engappai.2020.103902
http___www.sciencedirect.com_science_article_pii_S0952197620302396 http://www.sciencedirect.com/science/article/pii/S0952197620302396
CHAN:2021:EAAI Analyzing imbalanced online consumer review data in product design using geometric semantic genetic programming
KitYanChan.html
CheKitKwong.html
HuiminJiang.html
http___dx.doi.org_10.1016_j.engappai.2021.104442 http://dx.doi.org/10.1016/j.engappai.2021.104442
https___www.sciencedirect.com_science_article_pii_S0952197621002906 https://www.sciencedirect.com/science/article/pii/S0952197621002906
chan:2022:NCaA A genetic programming-based convolutional neural network for image quality evaluations
KitYanChan.html
Hak-KeungLam.html
HuiminJiang.html
http___link.springer.com_article_10.1007_s00521-022-07218-0 http://link.springer.com/article/10.1007/s00521-022-07218-0
http___dx.doi.org_10.1007_s00521-022-07218-0 http://dx.doi.org/10.1007/s00521-022-07218-0
CHAND:2018:IS On the use of genetic programming to evolve priority rules for resource constrained project scheduling problems
ShelvinChand.html
QuangNhatHuynh.html
HemantSingh.html
TapabrataRay.html
MarkusWagner.html
http___dx.doi.org_10.1016_j.ins.2017.12.013 http://dx.doi.org/10.1016/j.ins.2017.12.013
http___www.sciencedirect.com_science_article_pii_S0020025517311350 http://www.sciencedirect.com/science/article/pii/S0020025517311350
Chand:thesis Automated Design of Heuristics for the Resource Constrained Project Scheduling Problem
ShelvinChand.html
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http___handle.unsw.edu.au_1959.4_60621 http://handle.unsw.edu.au/1959.4/60621
CHAND:2019:SEC Evolving heuristics for the resource constrained project scheduling problem with dynamic resource disruptions
ShelvinChand.html
HemantSingh.html
TapabrataRay.html
http___dx.doi.org_10.1016_j.swevo.2018.09.007 http://dx.doi.org/10.1016/j.swevo.2018.09.007
http___www.sciencedirect.com_science_article_pii_S2210650217308325 http://www.sciencedirect.com/science/article/pii/S2210650217308325
CHAND:2019:swarm Evolving rollout-justification based heuristics for resource constrained project scheduling problems
ShelvinChand.html
HemantSingh.html
TapabrataRay.html
http___dx.doi.org_10.1016_j.swevo.2019.07.002 http://dx.doi.org/10.1016/j.swevo.2019.07.002
http___www.sciencedirect.com_science_article_pii_S2210650218309672 http://www.sciencedirect.com/science/article/pii/S2210650218309672
Chandila:2019:IJAMC Environmental Adaption Method: A Heuristic Approach for Optimization
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ShaileshTiwari.html
KKMishra.html
AkashPunhani.html
http___dx.doi.org_doi_10.4018_IJAMC.2019010107 http://dx.doi.org/doi=10.4018/IJAMC.2019010107
Chia-Lan.Chang:masters Dynamic Proportion Portfolio Insurance with Genetic Programming and Market Volatility Factors Analysis
Chia-LanChang.html
http___ir.lib.ncu.edu.tw_handle_987654321_13148 http://ir.lib.ncu.edu.tw/handle/987654321/13148
chang:2023:GECCOcomp Taylor Polynomial Enhancer Using Genetic Programming for Symbolic Regression
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Tu-ChinChiang.html
Tzu-HaoHsu.html
Ting-ShuoChuang.html
Wen-ZhongFang.html
Tian-LiYu.html
http___dx.doi.org_10.1145_3583133.3590591 http://dx.doi.org/10.1145/3583133.3590591
Chang:2012:IIH-MSP A Genetic Programming Based Scheme for Combining Image Operators
Feng-ChengChang.html
Hsiang-ChehHuang.html
http___dx.doi.org_10.1109_IIH-MSP.2012.58 http://dx.doi.org/10.1109/IIH-MSP.2012.58
Chang:2013:IIH-MSP Experiments on Genetic Programming Based Image Artefact Detection
Feng-ChengChang.html
Hsiang-ChehHuang.html
http___dx.doi.org_10.1109_IIH-MSP.2013.11 http://dx.doi.org/10.1109/IIH-MSP.2013.11
chang:2017:AIIHMSP A Design of Genetic Programming Scheme with VLIW Concepts
Feng-ChengChang.html
Hsiang-ChehHuang.html
http___link.springer.com_chapter_10.1007_978-3-319-50212-0_37 http://link.springer.com/chapter/10.1007/978-3-319-50212-0_37
http___dx.doi.org_10.1007_978-3-319-50212-0_37 http://dx.doi.org/10.1007/978-3-319-50212-0_37
Chang:2022:LifeTech Conditionals Support in Binary Expression Tree Based Genetic Programming
Feng-ChengChang.html
Hsiang-ChehHuang.html
http___dx.doi.org_10.1109_LifeTech53646.2022.9754834 http://dx.doi.org/10.1109/LifeTech53646.2022.9754834
Chang:2010:WSEAS Load Identification of Non-intrusive Load-monitoring System in Smart Home
Hsueh-HsienChang.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.455.3952 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.455.3952
http___www.worldses.org_journals_systems_systems-2010.htm http://www.worldses.org/journals/systems/systems-2010.htm
http___www.wseas.us_e-library_transactions_systems_2010_42-415.pdf http://www.wseas.us/e-library/transactions/systems/2010/42-415.pdf
Chang:2010:ICEBE A New Method for Load Identification of Nonintrusive Energy Management System in Smart Home
Hsueh-HsienChang.html
Ching-LungLin.html
http___dx.doi.org_10.1109_ICEBE.2010.24 http://dx.doi.org/10.1109/ICEBE.2010.24
Chang:2008:ICNC Rutting Prediction Model Developed by Genetic Programming Method Through Full Scale Accelerated Pavement Testing
Jia-RueyChang.html
Shun-HsingChen.html
Dar-HaoChen.html
Yao-BinLiu.html
http___dx.doi.org_10.1109_ICNC.2008.673 http://dx.doi.org/10.1109/ICNC.2008.673
Chang:2010:ICNC Pavement maintenance and rehabilitation decisions derived by genetic programming
Jia-RueyChang.html
Sao-JengChao.html
http___dx.doi.org_10.1109_ICNC.2010.5583502 http://dx.doi.org/10.1109/ICNC.2010.5583502
Chang:2013:SMC Comparative Data Fusion between Genetic Programing and Neural Network Models for Remote Sensing Images of Water Quality Monitoring
Ni-BinChang.html
BenjaminWVannah.html
http___dx.doi.org_10.1109_SMC.2013.182 http://dx.doi.org/10.1109/SMC.2013.182
Chang:2013:ieeeICNSCerie Intercomparisons between empirical models with data fusion techniques for monitoring water quality in a large lake
Ni-BinChang.html
BenjaminWVannah.html
http___dx.doi.org_10.1109_ICNSC.2013.6548747 http://dx.doi.org/10.1109/ICNSC.2013.6548747
Chang:2013:ieeeICNSCtampa Monitoring nutrient concentrations in Tampa Bay with MODIS images and machine learning models
Ni-BinChang.html
ZheminXuan.html
http___dx.doi.org_10.1109_ICNSC.2013.6548824 http://dx.doi.org/10.1109/ICNSC.2013.6548824
Chang:2013:RSE Exploring spatiotemporal patterns of phosphorus concentrations in a coastal bay with MODIS images and machine learning models
Ni-BinChang.html
ZheminXuan.html
YJeffreyYang.html
http___dx.doi.org_10.1016_j.rse.2013.03.002 http://dx.doi.org/10.1016/j.rse.2013.03.002
http___www.sciencedirect.com_science_article_pii_S0034425713000746 http://www.sciencedirect.com/science/article/pii/S0034425713000746
Chang:2014:ieeeSTAEORS Comparative Sensor Fusion Between Hyperspectral and Multispectral Satellite Sensors for Monitoring Microcystin Distribution in Lake Erie
Ni-BinChang.html
BenjaminWVannah.html
YJeffreyYang.html
http___dx.doi.org_10.1109_JSTARS.2014.2329913 http://dx.doi.org/10.1109/JSTARS.2014.2329913
Chang:2015:ICNSC Improving the control of water treatment plant with remote sensing-based water quality forecasting model
Ni-BinChang.html
SanazImen.html
http___dx.doi.org_10.1109_ICNSC.2015.7116009 http://dx.doi.org/10.1109/ICNSC.2015.7116009
Chang:2015:EI Diagnosis of the artificial intelligence-based predictions of flow regime in a constructed wetland for stormwater pollution control
Ni-BinChang.html
GolamMohiuddin.html
AJamesCrawford.html
KaixuBai.html
Kang-RenJin.html
http___dx.doi.org_10.1016_j.ecoinf.2015.05.001 http://dx.doi.org/10.1016/j.ecoinf.2015.05.001
http___www.sciencedirect.com_science_article_pii_S1574954115000795 http://www.sciencedirect.com/science/article/pii/S1574954115000795
Chang:2006:mej Automated synthesis of passive filter circuits including parasitic effects by genetic programming
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Hao-ShengHou.html
Yan-KuinSu.html
http___dx.doi.org_10.1016_j.mejo.2005.12.012 http://dx.doi.org/10.1016/j.mejo.2005.12.012
Chang:2005:FGCS Nonlinear model for ECG R-R interval variation using genetic programming approach
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KwangSukPark.html
BoYeonKim.html
http___www.sciencedirect.com_science_article_B6V06-4CVX0RT-1_2_111fea795562435e39023c448749d96a http://www.sciencedirect.com/science/article/B6V06-4CVX0RT-1/2/111fea795562435e39023c448749d96a
http___dx.doi.org_10.1016_j.future.2004.03.011 http://dx.doi.org/10.1016/j.future.2004.03.011
CHS06 Automated passive filter synthesis using a novel tree representation and genetic programming
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Hao-ShengHou.html
Yan-KuinSu.html
http___dx.doi.org_10.1109_TEVC.2005.861415 http://dx.doi.org/10.1109/TEVC.2005.861415
WeiChang:2011:TMEE Prediction of dissolved gas Content in transformer oil based on Genetic Programming and DGA
WeiChang.html
NingHao.html
http___dx.doi.org_10.1109_TMEE.2011.6199404 http://dx.doi.org/10.1109/TMEE.2011.6199404
Channon:masters The Evolutionary Emergence route to Artificial Intelligence
AlastairDChannon.html
http___www.channon.net_alastair_msc_adc_msc.pdf http://www.channon.net/alastair/msc/adc_msc.pdf
ChaDam97 The Artificial Evolution of Real Intelligence by Natural Selection
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RobertIDamper.html
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ALIFE98*384 Evolving Novel Behaviors via Natural Selection
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Channon_sab98 Perpetuating evolutionary emergence
AlastairDChannon.html
RobertIDamper.html
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ChaDam00 Towards the evolutionary emergence of increasingly complex advantageous behaviours
AlastairDChannon.html
RobertIDamper.html
http___www.channon.net_alastair_geb_ijssepcs_channon_ad_ijssepcs.pdf http://www.channon.net/alastair/geb/ijssepcs/channon_ad_ijssepcs.pdf
http___dx.doi.org_10.1080_002077200406570 http://dx.doi.org/10.1080/002077200406570
channon_ad_phdthesis Evolutionary Emergence: The Struggle for Existence in Artificial Biota
AlastairDChannon.html
http___www.channon.net_alastair_geb_phdthesis_channon_ad_phdthesis.pdf http://www.channon.net/alastair/geb/phdthesis/channon_ad_phdthesis.pdf
Channon:2001:PAT Passing the ALife Test: Activity Statistics Classify Evolution in Geb as Unbounded
AlastairDChannon.html
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http___dx.doi.org_10.1007_3-540-44811-X_45 http://dx.doi.org/10.1007/3-540-44811-X_45
Channon:2002:alife Improving and still passing the ALife test: Component-normalised activity statistics classify evolution in Geb as unbounded
AlastairDChannon.html
http___www.channon.net_alastair_geb_alife8_channon_ad_alife8.pdf http://www.channon.net/alastair/geb/alife8/channon_ad_alife8.pdf
http___www.alife.org_alife8_proceedings_sub2118.pdf http://www.alife.org/alife8/proceedings/sub2118.pdf
Chapelle:2000:isr Genetic programming for inverse kinematics approximation
FredericChapelle.html
OChocron.html
PhilippeBidaud.html
http___books.google.co.uk_books_about_ISR_2000.html_id_u6zpAAAAMAAJ_redir_esc_y http://books.google.co.uk/books/about/ISR_2000.html?id=u6zpAAAAMAAJ&redir_esc=y
Chapelle:2001:icra A closed form for inverse kinematics approximation of general 6R manipulators using genetic programming
FredericChapelle.html
PhilippeBidaud.html
http___dx.doi.org_10.1109_ROBOT.2001.933137 http://dx.doi.org/10.1109/ROBOT.2001.933137
Chapelle:2002:thesis Evaluation de systemes robotiques et comportements complexes par algorithmes evolutionnaires
FredericChapelle.html
http___www.sudoc.fr_069898715 http://www.sudoc.fr/069898715
Chapelle:2002:jrtpm Conception et evaluation de micro-endoscopes basees sur les algorithmes evolutionnaires
FredericChapelle.html
PhilippeBidaud.html
GeorgesDumont.html
Chapelle:2004:MMT Closed form solutions for inverse kinematics approximation of general 6R manipulators
FredericChapelle.html
PhilippeBidaud.html
http___www.sciencedirect.com_science_article_B6V46-4B1XNXT-1_2_2bf40af1f930c87f19d6fcc130f2f57a http://www.sciencedirect.com/science/article/B6V46-4B1XNXT-1/2/2bf40af1f930c87f19d6fcc130f2f57a
http___dx.doi.org_10.1016_j.mechmachtheory.2003.09.003 http://dx.doi.org/10.1016/j.mechmachtheory.2003.09.003
Chapelle:2006:MMT Evaluation functions synthesis for optimal design of hyper-redundant robotic systems
FredericChapelle.html
PhilippeBidaud.html
http___dx.doi.org_10.1016_j.mechmachtheory.2005.11.006 http://dx.doi.org/10.1016/j.mechmachtheory.2005.11.006
char:1997:caiGP Constructivist AI with GP
KGovindaChar.html
char:1997:elGPcAI Evolution of Learning with Genetic Programming - Constructivist AI with Genetic Programming
KGovindaChar.html
Char:1997:HEC Pattern recognition
KGovindaChar.html
WalterAldenTackett.html
http___citeseerx.ist.psu.edu_viewdoc_download_doi_10.1.1.375.6494.pdf http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.375.6494.pdf
http___www.crcnetbase.com_isbn_9780750308953 http://www.crcnetbase.com/isbn/9780750308953
char:1998:clGP Constructive Learning with Genetic Programming
KGovindaChar.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_csrp-98-10.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/csrp-98-10.pdf
char:thesis Constructivist Artificial Intelligence with Genetic Programming
KGovindaChar.html
http___ethos.bl.uk_OrderDetails.do_did_10_uin_uk.bl.ethos.265641 http://ethos.bl.uk/OrderDetails.do?did=10&uin=uk.bl.ethos.265641
Chareka:2016:PRASA A study of fitness functions for data classification using grammatical evolution
TatendaChareka.html
NelishiaPillay.html
http___dx.doi.org_10.1109_RoboMech.2016.7813165 http://dx.doi.org/10.1109/RoboMech.2016.7813165
Charhate:2007:JEME Soft and hard computing approaches for real-time prediction of currents in a tide-dominated coastal area
SBCharhate.html
MCDeo.html
VSanilKumar.html
http___dx.doi.org_10.1243_14750902JEME77 http://dx.doi.org/10.1243/14750902JEME77
Charhate2008120 Inverse modeling to derive wind parameters from wave measurements
SBCharhate.html
MCDeo.html
SNLondhe.html
http___dx.doi.org_10.1016_j.apor.2008.08.002 http://dx.doi.org/10.1016/j.apor.2008.08.002
http___www.sciencedirect.com_science_article_B6V1V-4TCGM50-1_2_69dcf477c9fc85235d0cc5df25e6a54a http://www.sciencedirect.com/science/article/B6V1V-4TCGM50-1/2/69dcf477c9fc85235d0cc5df25e6a54a
Charhate:thesis Applications of soft computing techniques to solve coastal and ocean problems
SBCharhate.html
http___www.civil.iitb.ac.in__mcdeo_thesis.html http://www.civil.iitb.ac.in/~mcdeo/thesis.html
Charhate200929 Genetic Programming to Forecast Stream Flow
SBCharhate.html
YHDandawat.html
SNLondhe.html
http___dx.doi.org_10.1007_978-3-540-89465-0_6 http://dx.doi.org/10.1007/978-3-540-89465-0_6
http___dx.doi.org_10.1007_978-3-540-89465-0_6 http://dx.doi.org/10.1007/978-3-540-89465-0_6
Charhate:2009:SOS Genetic programming for real-time prediction of offshore wind
SBCharhate.html
MCDeo.html
SNLondhe.html
http___dx.doi.org_10.1080_17445300802492638 http://dx.doi.org/10.1080/17445300802492638
chatterjee:2022:JBSMSE Prediction of welding responses using AI approach: adaptive neuro-fuzzy inference system and genetic programming
SumanChatterjee.html
SibaSankarMahapatra.html
LucianoLamberti.html
CatalinIPruncu.html
http___link.springer.com_article_10.1007_s40430-021-03294-w http://link.springer.com/article/10.1007/s40430-021-03294-w
http___dx.doi.org_10.1007_s40430-021-03294-w http://dx.doi.org/10.1007/s40430-021-03294-w
chattoe:1998:uEArsp Just How (Un)realistic are Evolutionary Algorithms as Representations of Social Processes?
EdmundChattoe-Brown.html
http___jasss.soc.surrey.ac.uk_1_3_2.html http://jasss.soc.surrey.ac.uk/1/3/2.html
Chattoe:2001:OundG The Prospects for Artificial Intelligence Techniques in Understanding Economic Behaviour: An Overview
EdmundChattoe-Brown.html
http___www.metropolis-publisher.com_Komplexitaet-und-Lernen_997_book.do http://www.metropolis-publisher.com/Komplexitaet-und-Lernen/997/book.do
http___www.amazon.de__C3_96konomie-Gesellschaft-Jahrb-17-Komplexit_C3_A4t-Lernen_dp_3895189979 http://www.amazon.de/%C3%96konomie-Gesellschaft-Jahrb-17-Komplexit%C3%A4t-Lernen/dp/3895189979
Chattoe:thesis The Evolution of Expectations in Boundedly Rational Agents
EdmundChattoe-Brown.html
https___www.academia.edu_8906840_The_Evolution_of_Expectations_in_Boundedly_Rational_Agents_Front_Material https://www.academia.edu/8906840/The_Evolution_of_Expectations_in_Boundedly_Rational_Agents_Front_Material
chattoe:2004:gagpf Genetic Algorithms and Genetic Programming in Computational Finance, Chen, Shu-Heng (ed.)
EdmundChattoe-Brown.html
http___jasss.soc.surrey.ac.uk_7_4_reviews_chattoe.html http://jasss.soc.surrey.ac.uk/7/4/reviews/chattoe.html
Chattoe-Brown:2013:SSC Modelling Evolutionary Mechanisms in Social Systems
EdmundChattoe-Brown.html
BruceEdmonds.html
http___www.springer.com_computer_information_systems_and_applications_book_978-3-540-93812-5 http://www.springer.com/computer/information+systems+and+applications/book/978-3-540-93812-5
Chaturvedi:2020:CEC Genetic Programming for Domain Adaptation in Product Reviews
ItiChaturvedi.html
ErikCambria.html
SandroCavallari.html
RoyEWelsch.html
http___vigir.missouri.edu__gdesouza_Research_Conference_CDs_IEEE_WCCI_2020_CEC_Papers_E-24673.pdf http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_WCCI_2020/CEC/Papers/E-24673.pdf
http___dx.doi.org_10.1109_CEC48606.2020.9185713 http://dx.doi.org/10.1109/CEC48606.2020.9185713
Chaturvedi:2021:CognComput Fuzzy Aggregated Topology Evolution for Cognitive Multi-tasks
ItiChaturvedi.html
ChitLSu.html
RoyEWelsch.html
https___hdl.handle.net_1721.1_131981 https://hdl.handle.net/1721.1/131981
http___dx.doi.org_10.1007_s12559-020-09807-4 http://dx.doi.org/10.1007/s12559-020-09807-4
DBLP:conf/icarcv/ChaudhariPT08 A multiclass classifier using Genetic Programming
NarendraSChaudhari.html
AnuradhaPurohit.html
ArunaTiwari.html
http___dx.doi.org_10.1109_ICARCV.2008.4795815 http://dx.doi.org/10.1109/ICARCV.2008.4795815
Chaudhari:2012:IJHST Estimation of pan evaporation using soft computing tools
NarhariChaudhari.html
SNLondhe.html
KCKhare.html
http___www.inderscience.com_link.php_id_52375 http://www.inderscience.com/link.php?id=52375
http___dx.doi.org_10.1504_IJHST.2012.052375 http://dx.doi.org/10.1504/IJHST.2012.052375
Chaudhari:2015:IJHST Spatial mapping of pan evaporation using linear genetic programming
NarhariChaudhari.html
SNLondhe.html
KCKhare.html
http___www.inderscience.com_link.php_id_67731 http://www.inderscience.com/link.php?id=67731
http___dx.doi.org_10.1504_IJHST.2014.067731 http://dx.doi.org/10.1504/IJHST.2014.067731
chaudhari:2016:FICSCPS One Day Ahead Forecast of Pan Evaporation at Pali Using Genetic Programming
NarhariChaudhari.html
NehaNarhariChaudhari.html
http___link.springer.com_chapter_10.1007_978-981-10-0448-3_10 http://link.springer.com/chapter/10.1007/978-981-10-0448-3_10
http___dx.doi.org_10.1007_978-981-10-0448-3_10 http://dx.doi.org/10.1007/978-981-10-0448-3_10
Chaudhary:2009:INMIC Determination of optimum genetic parameters for symbolic non-linear regression-like problems in genetic programming
UKChaudhary.html
MIqbal.html
http___dx.doi.org_10.1109_INMIC.2009.5383162 http://dx.doi.org/10.1109/INMIC.2009.5383162
Chaudhri:2000:GECCO Characterizing a Tunably Difficult Problem in Genetic Programming
OmarAChaudhri.html
JasonMDaida.html
JonathanCKhoo.html
WendellSRichardson.html
RachelBHarrison.html
WilliamJSloat.html
http___gpbib.cs.ucl.ac.uk_gecco2000_GP206.pdf http://gpbib.cs.ucl.ac.uk/gecco2000/GP206.pdf
Chaudhry:thesis Image Restoration using Machine Learning
AsmatullahChaudhry.html
https___fac.ksu.edu.sa_ammirza_page_22439 https://fac.ksu.edu.sa/ammirza/page/22439
http___prr.hec.gov.pk_jspui_handle_123456789_4816 http://prr.hec.gov.pk/jspui/handle/123456789/4816
http___prr.hec.gov.pk_thesis_2056.pdf http://prr.hec.gov.pk/thesis/2056.pdf
Chaudhry:2007:IJIST A hybrid image restoration approach: Using fuzzy punctual kriging and genetic programming
AsmatullahChaudhry.html
AsifullahKhan.html
AsadAli.html
AnwarMMirza.html
http___dx.doi.org_10.1002_ima.20105 http://dx.doi.org/10.1002/ima.20105
Chaudhry:2009:murjet Fusion of Linear and Non-Linear Image Restoration Filters Using Genetic Programming
AsmatullahChaudhry.html
AnwarMMirza.html
NisarAhmedMemon.html
http___direct.bl.uk_bld_OrderDetails.do_ http://direct.bl.uk/bld/OrderDetails.do?
Chauhan:2020:ICIMIA Automated Machine Learning: The New Wave of Machine Learning
KaransinghChauhan.html
ShreenaJani.html
DhruminThakkar.html
RiddhamDave.html
JitendraBBhatia.html
SudeepTanwar.html
MohammadSObaidat.html
http___dx.doi.org_10.1109_ICIMIA48430.2020.9074859 http://dx.doi.org/10.1109/ICIMIA48430.2020.9074859
Chaumont:2016:GPEM Evolution of sustained foraging in three-dimensional environments with physics
NicolasChaumont.html
ChristophAdami.html
http___dx.doi.org_10.1007_s10710-016-9270-z http://dx.doi.org/10.1007/s10710-016-9270-z
chavez:2007:MAEB Una Herramienta de Programacion Genetica Paralela que Aprovecha Recursos Publicos de Computacion
FranciscoChavezdelaO.html
JoseLuisGuisado.html
DanielLombranaGonzalezRodriguez.html
FranciscoFernandezdeVega.html
http___icaro.eii.us.es__jlguisado_publicaciones_MAEB2007_preprint.pdf http://icaro.eii.us.es/~jlguisado/publicaciones/MAEB2007_preprint.pdf
https___dialnet.unirioja.es_servlet_articulo_codigo_4121159 https://dialnet.unirioja.es/servlet/articulo?codigo=4121159
Chavez:2018:GECCOcomp Energy-consumption prediction of genetic programming algorithms using a fuzzy rule-based system
FranciscoChavezdelaO.html
FranciscoFernandezdeVega.html
JosefaDiazAlvarez.html
JoseAntonioGarciaMunoz.html
FranciscoJavierRodriguezDiaz.html
PedroACastilloValdivieso.html
http___dx.doi.org_10.1145_3205651.3208216 http://dx.doi.org/10.1145/3205651.3208216
Chavoya:2011:ITNG Applying Genetic Programming for Estimating Software Development Effort of Short-scale Projects
ArturoChavoya-Pena.html
CuauhtemocLopez-Martin.html
MariaElenaMeda-Campana.html
http___dx.doi.org_10.1109_ITNG.2011.37 http://dx.doi.org/10.1109/ITNG.2011.37
Chavoya:2012:PLOS Genetic Programming as Alternative for Predicting Development Effort of Individual Software Projects
ArturoChavoya-Pena.html
CuauhtemocLopez-Martin.html
IrmaRAndalon-Garcia.html
MariaElenaMeda-Campana.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.1035.6477 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.1035.6477
http___europepmc.org_backend_ptpmcrender.fcgi_accid_3DPMC3511534_26blobtype_3Dpdf http://europepmc.org/backend/ptpmcrender.fcgi?accid%3DPMC3511534%26blobtype%3Dpdf
https___journals.plos.org_plosone_article_file_id_10.1371_journal.pone.0050531.pdf https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0050531.pdf
http___dx.doi.org_10.1371_journal.pone.0050531 http://dx.doi.org/10.1371/journal.pone.0050531
Chavoya:2013:IJACSA Software Development Effort Estimation by Means of Genetic Programming
ArturoChavoya-Pena.html
CuauhtemocLopez-Martin.html
MariaElenaMeda-Campana.html
http___thesai.org_Downloads_Volume4No11_Paper_15-Software_Development_Effort_Estimation_by_Means_of_Genetic_Programming.pdf http://thesai.org/Downloads/Volume4No11/Paper_15-Software_Development_Effort_Estimation_by_Means_of_Genetic_Programming.pdf
http___dx.doi.org_10.14569_IJACSA.2013.041115 http://dx.doi.org/10.14569/IJACSA.2013.041115
http___dx.doi.org_10.14569_IJACSA.2013.041115 http://dx.doi.org/10.14569/IJACSA.2013.041115
cheang2:2003:gecco Data Classification Using Genetic Parallel Programming
IvanSinManCheang.html
Kin-HongLee.html
Kwong-SakLeung.html
http___dx.doi.org_10.1007_3-540-45110-2_88 http://dx.doi.org/10.1007/3-540-45110-2_88
cheang:2003:gecco Improving Evolvability of Genetic Parallel Programming Using Dynamic Sample Weighting
IvanSinManCheang.html
Kin-HongLee.html
Kwong-SakLeung.html
http___dx.doi.org_10.1007_3-540-45110-2_72 http://dx.doi.org/10.1007/3-540-45110-2_72
cheang:gecco03lbp An Empirical Study of the Accelerating Phenomenon in Genetic Parallel Programming
IvanSinManCheang.html
Kin-HongLee.html
Kwong-SakLeung.html
cheang:2003:edcpugpp Evolving data classification programs using genetic parallel programming
IvanSinManCheang.html
Kin-HongLee.html
Kwong-SakLeung.html
http___dx.doi.org_10.1109_CEC.2003.1299582 http://dx.doi.org/10.1109/CEC.2003.1299582
Man:2003:Aswmtgpp Applying sample weighting methods to genetic parallel programming
IvanSinManCheang.html
Kin-HongLee.html
Kwong-SakLeung.html
http___dx.doi.org_10.1109_CEC.2003.1299766 http://dx.doi.org/10.1109/CEC.2003.1299766
cheang:2003:CIRAS An Empirical Study of the GPP Accelerating Phenomenon
IvanSinManCheang.html
cheang:2004:eurogp Designing Optimal Combinational Digital Circuits Using a Multiple Logic Unit Processor
IvanSinManCheang.html
Kin-HongLee.html
Kwong-SakLeung.html
http___dx.doi.org_10.1007_978-3-540-24650-3_3 http://dx.doi.org/10.1007/978-3-540-24650-3_3
cheang:thesis Genetic parallel programming
IvanSinManCheang.html
https___search.proquest.com_docview_305346245 https://search.proquest.com/docview/305346245
Cheang:2006:EC Genetic Parallel Programming: Design and Implementation
IvanSinManCheang.html
Kwong-SakLeung.html
Kin-HongLee.html
http___dx.doi.org_10.1162_evco.2006.14.2.129 http://dx.doi.org/10.1162/evco.2006.14.2.129
Cheang:2007:tec Applying Genetic Parallel Programming to Synthesize Combinational Logic Circuits
IvanSinManCheang.html
Kin-HongLee.html
Kwong-SakLeung.html
http___dx.doi.org_10.1109_TEVC.2006.884044 http://dx.doi.org/10.1109/TEVC.2006.884044
Chee:2014:ROMA Using a co-evolutionary approach to automatically generate vertical undulation and lateral rolling motions for snake-like modular robot
WeiShunChee.html
JasonTeo.html
http___dx.doi.org_10.1109_ROMA.2014.7295894 http://dx.doi.org/10.1109/ROMA.2014.7295894
Chee:2014:ICAIET Simultaneous Evolutionary-Based Optimization of Controller and Morphology of Snake-Like Modular Robots
WeiShunChee.html
JasonTeo.html
http___dx.doi.org_10.1109_ICAIET.2014.16 http://dx.doi.org/10.1109/ICAIET.2014.16
cheema:2002:BTP Genetic Programming Assisted Stochastic Optimization Strategies for Optimization of Glucose to Gluconic Acid Fermentation
JitenderJitSinghCheema.html
NarendraVSankpal.html
SanjeevSTambe.html
BhaskarDKulkarni.html
http___www3.interscience.wiley.com_journal_121399381_abstract http://www3.interscience.wiley.com/journal/121399381/abstract
http___dx.doi.org_10.1021_bp015509s http://dx.doi.org/10.1021/bp015509s
chellapilla:1998:agnoclbbEP Automatic Generation of Nonlinear Optimal Control Laws for Broom Balancing using Evolutionary Programming
KumarChellapilla.html
http___dx.doi.org_10.1109_ICEC.1998.699500 http://dx.doi.org/10.1109/ICEC.1998.699500
chellapilla:1998:piempwsx A Preliminary Investigation into Evolving Modular Programs without Subtree Crossover
KumarChellapilla.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_gp1998_chellapilla_1998_piempwsx.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/gp1998/chellapilla_1998_piempwsx.pdf
Chellapilla:1998:eptm Evolving Computer Programs without Subtree Crossover
KumarChellapilla.html
http___dx.doi.org_10.1109_4235.661552 http://dx.doi.org/10.1109/4235.661552
Chellapilla:thesis Designing Effective Evolutionary Computations
KumarChellapilla.html
http___search.proquest.com_docview_305003505 http://search.proquest.com/docview/305003505
Chen:2014:ICNC Applications of artificial intelligence technologies in credit scoring: A survey of literature
BiliChen.html
WenhuaZeng.html
YangbinLin.html
http___dx.doi.org_10.1109_ICNC.2014.6975914 http://dx.doi.org/10.1109/ICNC.2014.6975914
Chen:2009:CINC A Self-adapting Algorithm for Identifying Rheology Model and Its Parameters of Rock Mass
Bing-RuiChen.html
Xia-TingFeng.html
ChengxiangYang.html
http___dx.doi.org_10.1109_CINC.2009.39 http://dx.doi.org/10.1109/CINC.2009.39
Carla_Chen_Thesis Bayesian methodology for genetics of complex diseases
CarlaChia-MingChen.html
http___eprints.qut.edu.au_43357_ http://eprints.qut.edu.au/43357/
http___eprints.qut.edu.au_43357_1_Carla_Chen_Thesis.pdf http://eprints.qut.edu.au/43357/1/Carla_Chen_Thesis.pdf
Chen:2011:TCBB Methods for Identifying SNP Interactions: A Review on Variations of Logic Regression, Random Forest and Bayesian Logistic Regression
CarlaChia-MingChen.html
HolgerSchwender.html
JonathanKeith.html
RobinNunkesser.html
KerrieMengersen.html
PaulaMacrossan.html
http___dx.doi.org_10.1109_TCBB.2011.46 http://dx.doi.org/10.1109/TCBB.2011.46
Chen:2013:JH Typhoon event-based evolutionary fuzzy inference model for flood stage forecasting
Chang-ShianChen.html
You-DaJhong.html
Ting-YingWu.html
Shien-TsungChen.html
http___dx.doi.org_10.1016_j.jhydrol.2013.03.033 http://dx.doi.org/10.1016/j.jhydrol.2013.03.033
http___www.sciencedirect.com_science_article_pii_S0022169413002424 http://www.sciencedirect.com/science/article/pii/S0022169413002424
Chen:2017:ICNC-FSKD Elite bases regression: A real-time algorithm for symbolic regression
ChenChen.html
ChangtongLuo.html
ZonglinJiang.html
http___dx.doi.org_10.1109_FSKD.2017.8393325 http://dx.doi.org/10.1109/FSKD.2017.8393325
Chen:2017:ISCID Fast Modeling Methods for Complex System with Separable Features
ChenChen.html
ChangtongLuo.html
ZonglinJiang.html
http___dx.doi.org_10.1109_ISCID.2017.144 http://dx.doi.org/10.1109/ISCID.2017.144
CHEN20181973 Block building programming for symbolic regression
ChenChen.html
ChangtongLuo.html
ZonglinJiang.html
http___www.sciencedirect.com_science_article_pii_S0925231217316983 http://www.sciencedirect.com/science/article/pii/S0925231217316983
http___dx.doi.org_10.1016_j.neucom.2017.10.047 http://dx.doi.org/10.1016/j.neucom.2017.10.047
CHEN:2018:ESA A multilevel block building algorithm for fast modeling generalized separable systems
ChenChen.html
ChangtongLuo.html
ZonglinJiang.html
http___dx.doi.org_10.1016_j.eswa.2018.05.021 http://dx.doi.org/10.1016/j.eswa.2018.05.021
http___www.sciencedirect.com_science_article_pii_S0957417418303142 http://www.sciencedirect.com/science/article/pii/S0957417418303142
chen:2009:CRTMCDM Nonlinear Deterministic Frontier Model Using Genetic Programming
Chin-YiChen.html
Jih-JengHuang.html
Gwo-HshiungTzeng.html
http___link.springer.com_chapter_10.1007_978-3-642-02298-2_111 http://link.springer.com/chapter/10.1007/978-3-642-02298-2_111
http___dx.doi.org_10.1007_978-3-642-02298-2_111 http://dx.doi.org/10.1007/978-3-642-02298-2_111
chen:2009:SMC Network intrusion detection using fuzzy class association rule mining based on genetic network programming
CiChen.html
ShingoMabu.html
ChuanYue.html
KaoruShimada.html
KotaroHirasawa.html
http___dx.doi.org_10.1109_ICSMC.2009.5346328 http://dx.doi.org/10.1109/ICSMC.2009.5346328
Chen2009634 A new variable topology for evolutionary hardware design
Chih-YungChen.html
Rey-ChueHwang.html
http___dx.doi.org_10.1016_j.eswa.2007.09.017 http://dx.doi.org/10.1016/j.eswa.2007.09.017
http___www.sciencedirect.com_science_article_B6V03-4PV2RVX-6_2_6aa751f84c76e323ab6ddab36f70e63d http://www.sciencedirect.com/science/article/B6V03-4PV2RVX-6/2/6aa751f84c76e323ab6ddab36f70e63d
CHEN:2020:Measurement Railway turnout system RUL prediction based on feature fusion and genetic programming
CongChen.html
TianhuaXu.html
GuangWang.html
BoLi.html
http___dx.doi.org_10.1016_j.measurement.2019.107162 http://dx.doi.org/10.1016/j.measurement.2019.107162
http___www.sciencedirect.com_science_article_pii_S0263224119310280 http://www.sciencedirect.com/science/article/pii/S0263224119310280
conf/ausai/ChenZ05 Evolving While-Loop Structures in Genetic Programming for Factorial and Ant Problems
GuangChen.html
MengjieZhang.html
https___rdcu.be_dgJfN https://rdcu.be/dgJfN
http___dx.doi.org_10.1007_11589990_144 http://dx.doi.org/10.1007/11589990_144
Chen:2020:ACC A Genetic Programming-Driven Data Fitting Method
HaoChen.html
ZiYuanGuo.html
HongBaiDuan.html
DuoBan.html
http___dx.doi.org_10.1109_ACCESS.2020.3002563 http://dx.doi.org/10.1109/ACCESS.2020.3002563
CHEN:2022:asoc A two-stage genetic programming framework for Stochastic Resource Constrained Multi-Project Scheduling Problem under New Project Insertions
HaoJieChen.html
JianZhang2.html
RongLi.html
GuofuDing.html
Sheng-fengQin.html
http___dx.doi.org_10.1016_j.asoc.2022.109087 http://dx.doi.org/10.1016/j.asoc.2022.109087
https___www.sciencedirect.com_science_article_pii_S1568494622003751 https://www.sciencedirect.com/science/article/pii/S1568494622003751
CHEN:2022:eswa A filtering genetic programming framework for stochastic resource constrained multi-project scheduling problem under new project insertions
HaoJieChen.html
GuofuDing.html
JianZhang2.html
RongLi.html
LeiJiang.html
Sheng-fengQin.html
http___dx.doi.org_10.1016_j.eswa.2022.116911 http://dx.doi.org/10.1016/j.eswa.2022.116911
https___www.sciencedirect.com_science_article_pii_S0957417422003487 https://www.sciencedirect.com/science/article/pii/S0957417422003487
CHEN:2021:ESA A hyper-heuristic based ensemble genetic programming approach for stochastic resource constrained project scheduling problem
HaoJieChen.html
GuofuDing.html
Sheng-fengQin.html
JianZhang2.html
http___dx.doi.org_10.1016_j.eswa.2020.114174 http://dx.doi.org/10.1016/j.eswa.2020.114174
https___www.sciencedirect.com_science_article_pii_S0957417420309118 https://www.sciencedirect.com/science/article/pii/S0957417420309118
Chen:mastersthesis Genetic Programming for the Investment of the Mutual Fund with Sortino Ratio and Mean Variance Model
Hung-HsinChen.html
http___etd.lib.nsysu.edu.tw_ETD-db_ETD-search-c_view_etd_URN_etd-0824110-122030 http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search-c/view_etd?URN=etd-0824110-122030
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journals/asc/ChenYP14 The trading on the mutual funds by gene expression programming with Sortino ratio
Hung-HsinChen.html
Chang-biauYang.html
Yung-HsingPeng.html
http___dx.doi.org_10.1016_j.asoc.2013.09.011 http://dx.doi.org/10.1016/j.asoc.2013.09.011
Chen2012 Genetic programming for predicting aseismic abilities of school buildings
Hung-MingChen2.html
Wei-KoKao.html
Hsing-ChihTsai.html
http___dx.doi.org_10.1016_j.engappai.2012.04.002 http://dx.doi.org/10.1016/j.engappai.2012.04.002
http___www.sciencedirect.com_science_article_pii_S0952197612000905 http://www.sciencedirect.com/science/article/pii/S0952197612000905
Jiah-ShingChen:2003:CINC Multi-Valued Stock Valuation Based on Fuzzy Genetic Programming Approach
Jiah-ShingChen.html
Ping-ChenLin.html
http___www.fin.kuas.edu.tw_people_writing_seminar.php_Sn_127 http://www.fin.kuas.edu.tw/people/writing_seminar.php?Sn=127
Chen:2016:JPDC enDebug: A hardware-software framework for automated energy debugging
JieChen.html
GuruPrasadhVenkataramani.html
http___dx.doi.org_10.1016_j.jpdc.2016.05.005 http://dx.doi.org/10.1016/j.jpdc.2016.05.005
http___www.sciencedirect.com_science_article_pii_S0743731516300351 http://www.sciencedirect.com/science/article/pii/S0743731516300351
Chen:2015:CECa A sensor tagging approach for reusing building blocks of knowledge in learning classifier systems
Liang-YuChen.html
Po-MingLee.html
Tzu-ChienHsiao.html
http___dx.doi.org_10.1109_CEC.2015.7257256 http://dx.doi.org/10.1109/CEC.2015.7257256
conf/icnc/ChenC05b Dynamical Proportion Portfolio Insurance with Genetic Programming
Jiah-ShingChen.html
Chia-LanChang.html
http___dx.doi.org_10.1007_11539117_104 http://dx.doi.org/10.1007/11539117_104
Chen:2007:ESA Piecewise nonlinear goal-directed CPPI strategy
Jiah-ShingChen.html
BenjaminPenyangLiao.html
http___dx.doi.org_10.1016_j.eswa.2006.07.001 http://dx.doi.org/10.1016/j.eswa.2006.07.001
Chen2008273 Dynamic proportion portfolio insurance using genetic programming with principal component analysis
Jiah-ShingChen.html
Chia-LanChang.html
Jia-LiHou.html
Yao-TangLin.html
http___dx.doi.org_10.1016_j.eswa.2007.06.030 http://dx.doi.org/10.1016/j.eswa.2007.06.030
http___www.sciencedirect.com_science_article_B6V03-4P40KHS-4_2_0bbb6228d04a3a1a4d59108b17c37664 http://www.sciencedirect.com/science/article/B6V03-4P40KHS-4/2/0bbb6228d04a3a1a4d59108b17c37664
Chen:2016:YAC Displacement prediction model of landslide based on multi-gene genetic programming
JiejieChen.html
ZhigangZeng.html
PingJiang.html
http___dx.doi.org_10.1109_YAC.2016.7804942 http://dx.doi.org/10.1109/YAC.2016.7804942
journals/nca/ChenZJT16 Application of multi-gene genetic programming based on separable functional network for landslide displacement prediction
JiejieChen.html
ZhigangZeng.html
PingJiang.html
HuimingTang.html
http___dx.doi.org_10.1007_s00521-015-1976-y http://dx.doi.org/10.1007/s00521-015-1976-y
conf/awic/ChenLW05 Distributed Service Management Based on Genetic Programming
JingChen.html
Zeng-zhiLi.html
Yun-LanWang.html
http___dx.doi.org_10.1007_11495772_14 http://dx.doi.org/10.1007/11495772_14
Chen:2005:ICMLC Distributed Service Performance Management Based on Linear Regression and Genetic Programming
JingChen.html
Zeng-zhiLi.html
Zhi-GangLiao.html
Yun-LanWang.html
http___dx.doi.org_10.1109_ICMLC.2005.1527007 http://dx.doi.org/10.1109/ICMLC.2005.1527007
chen:290 Study of Applying Macroevolutionary Genetic Programming to Concrete Strength Estimation
LiChen.html
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http___dx.doi.org_10.1061__ASCE_0887-3801_2003_17_4_290_ http://dx.doi.org/10.1061/(ASCE)0887-3801(2003)17:4(290)
Chen2008296 Improvement of remote monitoring on water quality in a subtropical reservoir by incorporating grammatical evolution with parallel genetic algorithms into satellite imagery
LiChen.html
Chih-HungTan.html
Shuh-JiKao.html
Tai-ShengWang.html
http___dx.doi.org_10.1016_j.watres.2007.07.014 http://dx.doi.org/10.1016/j.watres.2007.07.014
journals/ewc/Chen11 Macro-grammatical evolution for nonlinear time series modeling-a case study of reservoir inflow forecasting
LiChen.html
http___dx.doi.org_10.1007_s00366-011-0212-3 http://dx.doi.org/10.1007/s00366-011-0212-3
http___dx.doi.org_10.1007_s00366-011-0212-3 http://dx.doi.org/10.1007/s00366-011-0212-3
journals/eaai/ChenKM14 Prediction of slump flow of high-performance concrete via parallel hyper-cubic gene-expression programming
LiChen.html
Chang-HuanKou.html
Shih-WeiMa.html
http___dx.doi.org_10.1016_j.engappai.2014.05.005 http://dx.doi.org/10.1016/j.engappai.2014.05.005
Chen:2015:CECb An ant colony optimization-based hyper-heuristic with genetic programming approach for a hybrid flow shop scheduling problem
LinChen.html
HongZheng.html
DanZheng.html
DongniLi.html
http___dx.doi.org_10.1109_CEC.2015.7256975 http://dx.doi.org/10.1109/CEC.2015.7256975
journals/soco/ChenCCHH07 Comparing extended classifier system and genetic programming for financial forecasting: an empirical study
Mu-YenChen.html
Kuang-KuChen.html
Heien-KunChiang.html
Hwa-ShanHuang.html
Mu-JungHuang.html
http___dx.doi.org_10.1007_s00500-007-0161-3 http://dx.doi.org/10.1007/s00500-007-0161-3
WSEAS_466-157_Chen Automatic Running Planning for Omni-Directional Mobile Robot By Genetic Programming
PengChen.html
ShinjiKoyama.html
ShinichiroMitutake.html
TakashiIsoda.html
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Chen:2005:MSSP Fault diagnosis method for machinery in unsteady operating condition by instantaneous power spectrum and genetic programming
PengChen.html
MasatoshiTaniguchi.html
ToshioToyota.html
ZhengjaHe.html
http___dx.doi.org_10.1016_j.ymssp.2003.11.004 http://dx.doi.org/10.1016/j.ymssp.2003.11.004
Chen:2011:IJCIS Automatic Design of Robust Optimal Controller for Interval Plants using Genetic Programming and Kharitonov Theorem
PengChen2.html
Yong-ZaiLu.html
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http___dx.doi.org_10.1080_18756891.2011.9727834 http://dx.doi.org/10.1080/18756891.2011.9727834
Chen:2015:CEC Generalisation and Domain Adaptation in GP with Gradient Descent for Symbolic Regression
QiChen.html
BingXue.html
MengjieZhang.html
http___dx.doi.org_10.1109_CEC.2015.7257017 http://dx.doi.org/10.1109/CEC.2015.7257017
Chen:2016:GECCO Improving Generalisation of Genetic Programming for Symbolic Regression with Structural Risk Minimisation
QiChen.html
MengjieZhang.html
BingXue.html
http___dx.doi.org_10.1145_2908812.2908842 http://dx.doi.org/10.1145/2908812.2908842
Chen:2016:CEC Improving Generalisation of Genetic Programming for High-Dimensional Symbolic Regression with Feature Selection
QiChen.html
BingXue.html
BenNiu.html
MengjieZhang.html
http___dx.doi.org_10.1109_CEC.2016.7744270 http://dx.doi.org/10.1109/CEC.2016.7744270
Chen:2017:ieeeTEC Feature Selection to Improve Generalisation of Genetic Programming for High-Dimensional Symbolic Regression
QiChen.html
MengjieZhang.html
BingXue.html
http___dx.doi.org_10.1109_TEVC.2017.2683489 http://dx.doi.org/10.1109/TEVC.2017.2683489
Chen:2017:EuroGP Geometric Semantic Crossover with an Angle-aware Mating Scheme in Genetic Programming for Symbolic Regression
QiChen.html
BingXue.html
YiMei.html
MengjieZhang.html
http___dx.doi.org_10.1007_978-3-319-55696-3_15 http://dx.doi.org/10.1007/978-3-319-55696-3_15
conf/seal/0002ZX17 Geometric Semantic Genetic Programming with Perpendicular Crossover and Random Segment Mutation for Symbolic Regression
QiChen.html
MengjieZhang.html
BingXue.html
http___dx.doi.org_10.1007_978-3-319-68759-9_35 http://dx.doi.org/10.1007/978-3-319-68759-9_35
Chen:2017:GECCOa New Geometric Semantic Operators in Genetic Programming: Perpendicular Crossover and Random Segment Mutation
QiChen.html
MengjieZhang.html
BingXue.html
http___doi.acm.org_10.1145_3067695.3076008 http://doi.acm.org/10.1145/3067695.3076008
http___dx.doi.org_10.1145_3067695.3076008 http://dx.doi.org/10.1145/3067695.3076008
chen:2017:IES Genetic Programming with Embedded Feature Construction for High-Dimensional Symbolic Regression
QiChen.html
MengjieZhang.html
BingXue.html
http___link.springer.com_chapter_10.1007_978-3-319-49049-6_7 http://link.springer.com/chapter/10.1007/978-3-319-49049-6_7
http___dx.doi.org_10.1007_978-3-319-49049-6_7 http://dx.doi.org/10.1007/978-3-319-49049-6_7
QiChen:thesis Improving the Generalisation of Genetic Programming for Symbolic Regression
QiChen.html
http___hdl.handle.net_10063_7029 http://hdl.handle.net/10063/7029
https___researcharchive.vuw.ac.nz_xmlui_bitstream_handle_10063_7029_thesis_access.pdf https://researcharchive.vuw.ac.nz/xmlui/bitstream/handle/10063/7029/thesis_access.pdf
Chen:ieeeTEC:8462796 Improving Generalisation of Genetic Programming for Symbolic Regression with Angle-Driven Geometric Semantic Operators
QiChen.html
BingXue.html
MengjieZhang.html
http___dx.doi.org_10.1109_TEVC.2018.2869621 http://dx.doi.org/10.1109/TEVC.2018.2869621
Chen:ieeeTEVC Structural Risk Minimisation-Driven Genetic Programming for Enhancing Generalisation in Symbolic Regression
QiChen.html
MengjieZhang.html
BingXue.html
http___dx.doi.org_10.1109_TEVC.2018.2881392 http://dx.doi.org/10.1109/TEVC.2018.2881392
Chen:2019:CEC Instance based Transfer Learning for Genetic Programming for Symbolic Regression
QiChen.html
BingXue.html
MengjieZhang.html
http___dx.doi.org_10.1109_CEC.2019.8790217 http://dx.doi.org/10.1109/CEC.2019.8790217
Chen:2019:GECCOcomp Differential evolution for instance based transfer learning in genetic programming for symbolic regression
QiChen.html
BingXue.html
MengjieZhang.html
http___dx.doi.org_10.1145_3319619.3321941 http://dx.doi.org/10.1145/3319619.3321941
Chen:2020:GECCO Improving Symbolic Regression Based on Correlation between Residuals and Variables
QiChen.html
BingXue.html
MengjieZhang.html
https___doi.org_10.1145_3377930.3390161 https://doi.org/10.1145/3377930.3390161
http___dx.doi.org_10.1145_3377930.3390161 http://dx.doi.org/10.1145/3377930.3390161
Chen:2020:CYB Genetic Programming for Instance Transfer Learning in Symbolic Regression
QiChen.html
BingXue.html
MengjieZhang.html
http___dx.doi.org_10.1109_TCYB.2020.2969689 http://dx.doi.org/10.1109/TCYB.2020.2969689
Qi_Chen:ieeeTEC Preserving Population Diversity Based on Transformed Semantics in Genetic Programming for Symbolic Regression
QiChen.html
BingXue.html
MengjieZhang.html
http___dx.doi.org_10.1109_TEVC.2020.3046569 http://dx.doi.org/10.1109/TEVC.2020.3046569
chen:2022:WiCI Generalisation in Genetic Programming for Symbolic Regression: Challenges and Future Directions
QiChen.html
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chen:2023:GECCO Relieving Genetic Programming from Coefficient Learning for Symbolic Regression via Correlation and Linear Scaling
QiChen.html
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WolfgangBanzhaf.html
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http___dx.doi.org_10.1145_3583131.3595918 http://dx.doi.org/10.1145/3583131.3595918
chen:2007:CIDM A Modified Genetic Programming for Behavior Scoring Problem
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De-FuZhang.html
Li-JunWei.html
Huo-WangChen.html
http___dx.doi.org_10.1109_CIDM.2007.368921 http://dx.doi.org/10.1109/CIDM.2007.368921
Chen20102054 Forecasting container throughputs at ports using genetic programming
Shih-HuangChen.html
Junn-nanChen.html
http___dx.doi.org_10.1016_j.eswa.2009.06.054 http://dx.doi.org/10.1016/j.eswa.2009.06.054
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conf/aici/ChenDW11 Lateral Jet Interaction Model Identification Based on Genetic Programming
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chen:1995:psmrGP Predicting Stock Returns with Genetic Programming: Do the Short-Term Nonlinear Regularities Exist?
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chen:1995:cqtm On the Competitiveness of the Quantity Theory of Money: A Natural-Selection Test Based on Genetic Programming
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chen:1995:cale On the Coordination and Adaptability of the Large Economy: An Application of Genetic Programming to the Cobweb Model
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chen:1995:GPpsme Genetic Programming, Predictability and Stock Market Efficiency
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chen:1995:pcdsGP Predicting Chaotic Dynamic Systems with Genetic Programming
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chen:1995:itmeeipt Information Transmission, Market Efficiency and the Evolution of Information-Processing Technology
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chen:1996:MAAMAW Modelling Coordination Game as a Multi-Agent Adaptive System by Genetic Programming
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JohnDuffy.html
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chen:1996:GPcfe Genetic Programming in Computable Financial Economics
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chen:1996:bgntemh Bridging the Gap between Nonlinearity Tests and the Efficient Market Hypothesis by Genetic Programming
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chen:1996:GPpsme Genetic Programming, Predictability, and Stock Market Efficiency
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chen:1996:cale:GPcm On the Coordination and Adaptability of the Large Economy: An Application of Genetic Programming to the Cobweb Model
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chen:1996:aigp2 Genetic Programming Learning and the Cobweb Model
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chen:1996:GPcgcbr Genetic Programming in the Coordination Game with a Chaotic Best-Response Function
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chen:1996:caemh Toward a Computable Approach to the Efficient Market Hypothesis: An Application of Genetic Programming
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chen:1996:esGP Equilibrium Selection Using Genetic Programming
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chen:1996:GPlcms Genetic Programming Learning in the Cobweb Model with Speculators
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chen:1996:GPlcmsICS Genetic Programming Learning in the Cobweb Model with Speculators
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chen:1996:itmeeipt Information Transmission, Market Efficiency and the Evolution of Information-Processing Technology
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chen:1996:cfaGPothers A Comparison of Forcast Accuracy between Genetic Programming and Other Forcasters: A loss-Differential Approach
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chen:1996:gpemh Genetic Programming and the Efficient Market Hypothesis
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chen:1997:stfr Speculative Trades and Financial Regulations: Simulations Based on Genetic Programming
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chen:1997:setpGP Simulating Economic Transition Processes by Genetic Programming
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chen:1997:trstpv Trading Restrictions, Speculative Trades and Price Volatility: An Application of Genetic Programming
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chen:1997:eannGPfd Evolutionary Artificial Neural Networks and Genetic Programming: A Comparative Study Based on Financial Data
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chen:1998:hdsGP Hedging Derivative Securities with Genetic Programming
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oai:CiteSeerPSU:454950 Forecasting High-Frequency Financial Time Series with Evolutionary Neural Trees: The Case of Hang-Seng Stock Index
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SHChen:1999:gpabmsm Genetic Programming in the Agent-Based Modeling of Stock Markets
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chen:1999:SC Modeling the expectations of inflation in the OLG model with genetic programming
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RePEc:sce:scecf0:328 On The Emergent Properties Of Artificial Stock Markets: Some Initial Evidences
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Shu-HengChen:2000:CEF On Bargaining Strategies in the SFI Double Auction Tournaments: Is Genetic Programming the Answer?
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Chen:2000:TAB Toward an Agent-Based Computational Modeling of Bargaining Strategies in Double Auction Markets with Genetic Programming
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Chen:2000:AOR Simulating economic transition processes by genetic programming
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oai:CiteSeerPSU:475338 The Schema Analysis of Emergent Bargaining Strategies in Agent-Based Double Auction Markets
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Chen:2001:ICCIMA1 Evolving Bargaining Strategies with Genetic Programming: An Overview of AIE-DA, Ver. 2, Part 1
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Shu-HengChen:2001:JEDC Evolving traders and the business school with genetic programming: A new architecture of the agent-based artificial stock market
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Chen:2002:EJEMED Equilibrium Selection via Adaptation: Using Genetic Programming to Model Learning in a Coordination Game
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Chen:2002:JEBO On the emergent properties of artificial stock markets: the efficient market hypothesis and the rational expectations hypothesis
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chen:2002:gagpcf Genetic Algorithms and Genetic Programming in Computational Finance
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ChenAO:2002:gagpcf An Overview
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ChenKuoShieh:2002:gagpcf Genetic Programming: A Tutorial With The Software Simple GP
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ChenLiao:2002:gagpcf Price Discovery in Agent-Based Computational Modeling of the Artificial Stock Market
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ChenTaiChie:2002:gagpcf Individual Rationality as a Partial Impediment to Market Efficiency: Allocative Efficiency of Markets with Smart Traders
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Chen:2003:AAAIs Economic Models of Innovations: Why GP Can Be a Possible Way Out?
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chen03 Overfitting or Poor Learning: A Critique of Current Financial Applications of GP
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Shu-HengChen:2003:CINC Modeling International Short-Term Capital Flow with Genetic Programming
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oai:CiteSeerX.psu:10.1.1.483.8279 A Functional Modularity Approach to Agent-based Modeling of the Evolution of Technology," (with B.-T
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chen:2004:lbp Functional Modularity in the Test Bed of Economic Theory -- Using Genetic Programming
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Shu-HengChen:2004:IJMPB Functional Modularity in the Fundamentals of Economic Theory: Toward an Agent-Based Economic Modeling of the Evolution of Technology
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Chen:2005:IS Agent-based computational modeling of the stock price-volume relation
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Chen:2006:CNEI A Functional Modularity Approach to Agent-based Modeling of the Evolution of Technology
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Chen:2006:IS Computationally intelligent agents in economics and Finance
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conf/iconip/ChenN06 Pretests for Genetic-Programming Evolved Trading Programs: zero-intelligence Strategies and Lottery Trading
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Chen:2007:IDEAL Modularity, Product Innovation, and Consumer Satisfaction: An Agent-Based Approach
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Chen:2007:chen Failure of Genetic-Programming Induced Trading Strategies: Distinguishing between Efficient Markets and Inefficient Algorithms
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Chen:2008:GPTP Co-Evolving Trading Strategies to Analyze Bounded Rationality in Double Auction Markets
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Chen:2009:CIFEr Modeling intelligence of learning agents in an artificial double auction market
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Chen:2009:eurogp Modeling Intelligence of Learning Agents in An Artificial Double Auction Market
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ChenZY:2009:GEC Analysis of micro-behavior and bounded rationality in double auction markets using co-evolutionary GP
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conf/mabs/ChenTW09 Does Cognitive Capacity Matter When Learning Using Genetic Programming in Double Auction Markets?
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chen:2009:AAESCS Genetic Programming and Agent-Based Computational Economics: From Autonomous Agents to Product Innovation
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Chen:2010:maaECbit Bounded Rationality and Market Micro-Behaviors: Case Studies Based on Agent-Based Double Auction Markets
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Chen:2011:frontierEE Agents learned, but do we? Knowledge discovery using the agent-based double auction markets
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DP_6_2011_II Toward an Autonomous-Agents Inspired Economic Analysis
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conf/ideal/ChenS11 Is Genetic Programming ``Human-Competitive''? The Case of Experimental Double Auction Markets
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Chen20121 Varieties of agents in agent-based computational economics: A historical and an interdisciplinary perspective
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BMSP:BMSP255 Predicting item exposure parameters in computerized adaptive testing
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chen:2022:FC Orientation Design and Research of Heavy Bamboo Substrate Considering Genetic Programming and Artificial Intelligence Algorithm
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CHEN:2021:CS Data-driven analysis on ultimate axial strain of FRP-confined concrete cylinders based on explicit and implicit algorithms
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Chen:2010:BIEF Macroeconomic Forecasting Using Genetic Programming Based Vector Error Correction Model
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Chen:2004:EAAI Multi-step optimal control of complex process: a genetic programming strategy and its application
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http___www.sciencedirect.com_science_article_B6V2M-4CMHSNB-1_2_5c02b126719099d090f4dba0eaaa5cea http://www.sciencedirect.com/science/article/B6V2M-4CMHSNB-1/2/5c02b126719099d090f4dba0eaaa5cea
http___dx.doi.org_10.1016_j.engappai.2004.04.018 http://dx.doi.org/10.1016/j.engappai.2004.04.018
Chen:2014:OCMIEC Engineering Optimization Approaches of Nonferrous Metallurgical Processes
XiaofangChen.html
HongleiXu.html
http___dx.doi.org_10.1007_978-94-017-8044-5_7 http://dx.doi.org/10.1007/978-94-017-8044-5_7
Chen:2008:ICNC Model of Water Production Function with Genetic Programming
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LinQiu.html
Chun-qingDuan.html
http___dx.doi.org_10.1109_ICNC.2008.118 http://dx.doi.org/10.1109/ICNC.2008.118
Chen:2018:ICSESS TEA-MAC: Traffic Estimation Adaptive MAC Protocol for Underwater Acoustic Networks
XianyiChen.html
GuolanLin.html
http___dx.doi.org_10.1109_ICSESS.2018.8663928 http://dx.doi.org/10.1109/ICSESS.2018.8663928
Chen:2007:cec Genetic Network Programming with Sarsa Learning and Its Application to Creating Stock Trading Rules
YanChen.html
ShingoMabu.html
KotaroHirasawa.html
JingluHu.html
http___dx.doi.org_10.1109_CEC.2007.4424475 http://dx.doi.org/10.1109/CEC.2007.4424475
Chen2:2008:cec Real Time Updating Genetic Network Programming for Adapting to the Change of Stock Prices
YanChen.html
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KaoruShimada.html
KotaroHirasawa.html
http___dx.doi.org_10.1109_CEC.2008.4630824 http://dx.doi.org/10.1109/CEC.2008.4630824
Chen:2008:gecco Construction of portfolio optimization system using genetic network programming with control nodes
YanChen.html
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KaoruShimada.html
KotaroHirasawa.html
http___gpbib.cs.ucl.ac.uk_gecco2008_docs_p1693.pdf http://gpbib.cs.ucl.ac.uk/gecco2008/docs/p1693.pdf
http___dx.doi.org_10.1145_1389095.1389413 http://dx.doi.org/10.1145/1389095.1389413
Chen2:2009:cec Constructing Portfolio Investment Strategy Based on Time Adapting Genetic Network Programming
YanChen.html
ShingoMabu.html
EtsushiOhkawa.html
KotaroHirasawa.html
http___dx.doi.org_10.1109_CEC.2009.4983238 http://dx.doi.org/10.1109/CEC.2009.4983238
Chen:2009:ieeeSMC A portfolio selection model using genetic relation algorithm and genetic network programming
YanChen.html
KotaroHirasawa.html
ShingoMabu.html
http___dx.doi.org_10.1109_ICSMC.2009.5346940 http://dx.doi.org/10.1109/ICSMC.2009.5346940
Chen200910735 A portfolio optimization model using Genetic Network Programming with control nodes
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EtsushiOhkawa.html
ShingoMabu.html
KaoruShimada.html
KotaroHirasawa.html
http___dx.doi.org_10.1016_j.eswa.2009.02.049 http://dx.doi.org/10.1016/j.eswa.2009.02.049
http___www.sciencedirect.com_science_article_B6V03-4VPD6KS-2_2_3cf6750a5518ab6e7d6cf817197d96bd http://www.sciencedirect.com/science/article/B6V03-4VPD6KS-2/2/3cf6750a5518ab6e7d6cf817197d96bd
Chen200912537 A genetic network programming with learning approach for enhanced stock trading model
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ShingoMabu.html
KaoruShimada.html
KotaroHirasawa.html
http___dx.doi.org_10.1016_j.eswa.2009.05.054 http://dx.doi.org/10.1016/j.eswa.2009.05.054
http___www.sciencedirect.com_science_article_B6V03-4WC113D-2_2_a6c6277183e3b22cc3cc50ba71d7062f http://www.sciencedirect.com/science/article/B6V03-4WC113D-2/2/a6c6277183e3b22cc3cc50ba71d7062f
Chen2009 A model of portfolio optimization using time adapting genetic network programming
YanChen.html
ShingoMabu.html
KotaroHirasawa.html
http___dx.doi.org_10.1016_j.cor.2009.12.003 http://dx.doi.org/10.1016/j.cor.2009.12.003
http___www.sciencedirect.com_science_article_B6VC5-4Y0D6CX-1_2_2b2154c00eb0c11cef64666b20be06e1 http://www.sciencedirect.com/science/article/B6VC5-4Y0D6CX-1/2/2b2154c00eb0c11cef64666b20be06e1
Chen:2010:cec A portfolio selection strategy using Genetic Relation Algorithm
YanChen.html
ShingoMabu.html
KotaroHirasawa.html
http___dx.doi.org_10.1109_CEC.2010.5586430 http://dx.doi.org/10.1109/CEC.2010.5586430
conf/cnhpca/ChenLC15 Parameter Identification Inverse Problems of Partial Differential Equations Based on the Improved Gene Expression Programming
YanChen.html
KangshunLi.html
Zhangxin_John_Chen.html
http___dx.doi.org_10.1007_978-3-319-32557-6_24 http://dx.doi.org/10.1007/978-3-319-32557-6_24
DBLP:journals/jaciii/ChenS16 Generating Trading Rules for Stock Markets Using Robust Genetic Network Programming and Portfolio Beta
YanChen.html
ZhihuiShi.html
https___doi.org_10.20965_jaciii.2016.p0484 https://doi.org/10.20965/jaciii.2016.p0484
http___dx.doi.org_10.20965_jaciii.2016.p0484 http://dx.doi.org/10.20965/jaciii.2016.p0484
https___dblp.org_rec_journals_jaciii_ChenS16.bib https://dblp.org/rec/journals/jaciii/ChenS16.bib
journals/soco/ChenLCW17 Restricted gene expression programming: a new approach for parameter identification inverse problems of partial differential equation
YanChen.html
KangshunLi.html
ZhangxingChen.html
JinfengWang.html
http___dx.doi.org_10.1007_s00500-015-1965-1 http://dx.doi.org/10.1007/s00500-015-1965-1
Chen:2018:ICCS Comprehensive Learning Gene Expression Programming for Automatic Implicit Equation Discovery
YongliangChen.html
JinghuiZhong.html
MingkuiTan.html
http___dx.doi.org_10.1007_978-3-319-93698-7_9 http://dx.doi.org/10.1007/978-3-319-93698-7_9
YuehuiChen:thesis Hybrid Soft Computing Approach to Identification and Control of Nonlinear Systems
YuehuiChen.html
http___www31.freeweb.ne.jp_computer_chen_yh_thesis.pdf.001 http://www31.freeweb.ne.jp/computer/chen_yh/thesis.pdf.001
http___www31.freeweb.ne.jp_computer_chen_yh_thesis.pdf.002 http://www31.freeweb.ne.jp/computer/chen_yh/thesis.pdf.002
http___www31.freeweb.ne.jp_computer_chen_yh_thesis.pdf.003 http://www31.freeweb.ne.jp/computer/chen_yh/thesis.pdf.003
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_yuehui.chen_YuehuiChenThesis.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/yuehui.chen/YuehuiChenThesis.pdf
Chen:2006:ESANN Optimal design of hierarchical wavelet networks for time-series forecasting
YuehuiChen.html
BoYang.html
AjithAbraham.html
http___www.dice.ucl.ac.be_Proceedings_esann_esannpdf_es2006-57.pdf http://www.dice.ucl.ac.be/Proceedings/esann/esannpdf/es2006-57.pdf
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.136.9044 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.136.9044
Chen:2006:IDEAL Face Recognition Using DCT and Hierarchical RBF Model
YuehuiChen.html
YaouZhao.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.482.9685 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.482.9685
http___cilab.ujn.edu.cn_paper_ideal1.pdf http://cilab.ujn.edu.cn/paper/ideal1.pdf
http___dx.doi.org_10.1007_11875581_43 http://dx.doi.org/10.1007/11875581_43
Chen:2006:N Feature selection and classification using flexible neural tree
YuehuiChen.html
AjithAbraham.html
BoYang.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.1041.7313 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.1041.7313
http___www.softcomputing.net_neucom1.pdf http://www.softcomputing.net/neucom1.pdf
http___www.sciencedirect.com_science_article_pii_S0925231206001111 http://www.sciencedirect.com/science/article/pii/S0925231206001111
http___dx.doi.org_10.1016_j.neucom.2006.01.022 http://dx.doi.org/10.1016/j.neucom.2006.01.022
Chen:2007:ISNN An IP and GEP Based Dynamic Decision Model for Stock Market Forecasting
YuehuiChen.html
QiangWu.html
FengChen2.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.626.3509 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.626.3509
http___dx.doi.org_10.1007_978-3-540-72383-7_56 http://dx.doi.org/10.1007/978-3-540-72383-7_56
Chen:2007:N Flexible neural trees ensemble for stock index modeling
YuehuiChen.html
BoYang.html
AjithAbraham.html
http___dx.doi.org_10.1016_j.neucom.2006.10.005 http://dx.doi.org/10.1016/j.neucom.2006.10.005
Chen:2010:book Tree-Structure based Hybrid Computational Intelligence
YuehuiChen.html
AjithAbraham.html
http___www.springer.com_engineering_book_978-3-642-04738-1 http://www.springer.com/engineering/book/978-3-642-04738-1
http___dx.doi.org_10.1007_978-3-642-04739-8 http://dx.doi.org/10.1007/978-3-642-04739-8
Chen2011106 Time-series forecasting using a system of ordinary differential equations
YuehuiChen.html
BinYang.html
QingfangMeng.html
YaouZhao.html
AjithAbraham.html
http___dx.doi.org_10.1016_j.ins.2010.09.006 http://dx.doi.org/10.1016/j.ins.2010.09.006
http___www.sciencedirect.com_science_article_B6V0C-5100HS4-3_2_c9722759c9e35e7dba49e35c559ae617 http://www.sciencedirect.com/science/article/B6V0C-5100HS4-3/2/c9722759c9e35e7dba49e35c559ae617
Chen2012274 Small-time scale network traffic prediction based on flexible neural tree
YuehuiChen.html
BinYang.html
QingfangMeng.html
http___dx.doi.org_10.1016_j.asoc.2011.08.045 http://dx.doi.org/10.1016/j.asoc.2011.08.045
http___www.sciencedirect.com_science_article_pii_S1568494611003280 http://www.sciencedirect.com/science/article/pii/S1568494611003280
Chen:2023:evoapplications Multi-objective Location-Aware Service Brokering in Multi-cloud - A GPHH Approach with Transfer Learning
YuhengChen.html
TaoShi.html
HuiMa.html
AaronChen.html
http___dx.doi.org_10.1007_978-3-031-30229-9_37 http://dx.doi.org/10.1007/978-3-031-30229-9_37
journals/tjs/ChenCKHX13 Solving symbolic regression problems with uniform design-aided gene expression programming
YunliangChen.html
DanChen.html
SameeUllahKhan.html
JianzhongHuang.html
ChangshengXie.html
http___dx.doi.org_10.1007_s11227-013-0943-6 http://dx.doi.org/10.1007/s11227-013-0943-6
Yuxin_Chen:thesis A Novel Hybrid Focused Crawling Algorithm to Build Domain-Specific Collections
Yuxin_Jerry_Chen.html
http___scholar.lib.vt.edu_theses_available_etd-02162007-005107_ http://scholar.lib.vt.edu/theses/available/etd-02162007-005107/
http___scholar.lib.vt.edu_theses_available_etd-02162007-005107_unrestricted_YuxinDissertation_etd_final1.pdf http://scholar.lib.vt.edu/theses/available/etd-02162007-005107/unrestricted/YuxinDissertation_etd_final1.pdf
Chen:2007:WISP A Genetic Programming Approach for Classification of Textures Based on Wavelet Analysis
ZhengChen.html
SiweiLu.html
http___dx.doi.org_10.1109_WISP.2007.4447575 http://dx.doi.org/10.1109/WISP.2007.4447575
Chen:2020:CEC A Data-Driven Genetic Programming Heuristic for Real-World Dynamic Seaport Container Terminal Truck Dispatching
XinanChen.html
RuibinBai.html
RongQu.html
HaiboDong.html
JianjunChen.html
http___www.cs.nott.ac.uk__pszrq_files_CEC2020HGP.pdf http://www.cs.nott.ac.uk/~pszrq/files/CEC2020HGP.pdf
http___dx.doi.org_10.1109_CEC48606.2020.9185659 http://dx.doi.org/10.1109/CEC48606.2020.9185659
Xinan_Chen:ieeeTEC Cooperative Double-Layer Genetic Programming Hyper-Heuristic for Online Container Terminal Truck Dispatching
XinanChen.html
RuibinBai.html
RongQu.html
HaiboDong.html
http___dx.doi.org_10.1109_TEVC.2022.3209985 http://dx.doi.org/10.1109/TEVC.2022.3209985
Chen:TEVC Deep Reinforcement Learning Assisted Genetic Programming Ensemble Hyper-Heuristics for Dynamic Scheduling of Container Port Trucks
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RuibinBai.html
RongQu.html
JingDong.html
YaochuJin.html
http___dx.doi.org_10.1109_TEVC.2024.3381042 http://dx.doi.org/10.1109/TEVC.2024.3381042
Chen:2020:ICNC Energy Efficient NFV Resource Allocation in Edge Computing Environment
XiaoChen.html
http___dx.doi.org_10.1109_ICNC47757.2020.9049765 http://dx.doi.org/10.1109/ICNC47757.2020.9049765
chen:2021:Mathematics A Hyper Heuristic Algorithm Based Genetic Programming for Steel Production Scheduling of Cyber-Physical System-ORIENTED
XiaowuChen.html
GuozhangJiang.html
YongmaoXiao.html
GongfaLi.html
FengXiang.html
https___www.mdpi.com_2227-7390_9_18_2256 https://www.mdpi.com/2227-7390/9/18/2256
http___dx.doi.org_10.3390_math9182256 http://dx.doi.org/10.3390/math9182256
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XuhaoEricChen.html
BrianJRoss.html
http___dx.doi.org_10.1109_CEC45853.2021.9504827 http://dx.doi.org/10.1109/CEC45853.2021.9504827
CHEN:2023:jmst Identifying facile material descriptors for Charpy impact toughness in low-alloy steel via machine learning
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ShuizeWang.html
JieXiong.html
GuilinWu.html
JunhengGao.html
YuanWu.html
GuoqiangMa.html
Hong-HuiWu.html
XinpingMao.html
http___dx.doi.org_10.1016_j.jmst.2022.05.051 http://dx.doi.org/10.1016/j.jmst.2022.05.051
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Chen:2022:SCC Automatically Design Heuristics for Multi-Objective Location-Aware Service Brokering in Multi-Cloud
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TaoShi.html
HuiMa.html
AaronChen.html
http___dx.doi.org_10.1109_SCC55611.2022.00039 http://dx.doi.org/10.1109/SCC55611.2022.00039
Chen:2023:ITSC Neural Network Assisted Genetic Programming in Dynamic Container Port Truck Dispatching
XinanChen.html
FeiyangBao.html
RongQu.html
JingDong.html
RuibinBai.html
http___dx.doi.org_10.1109_ITSC57777.2023.10422513 http://dx.doi.org/10.1109/ITSC57777.2023.10422513
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Xiang-LingChen.html
Xiao-ChengLiao.html
Wei-NengChen.html
http___dx.doi.org_10.1109_SMC53992.2023.10394169 http://dx.doi.org/10.1109/SMC53992.2023.10394169
CHENAR:2018:WR Development of genetic programming-based model for predicting oyster norovirus outbreak risks
ShimaShamkhaliChenar.html
ZhiqiangDeng.html
http___dx.doi.org_10.1016_j.watres.2017.10.032 http://dx.doi.org/10.1016/j.watres.2017.10.032
http___www.sciencedirect.com_science_article_pii_S0043135417308692 http://www.sciencedirect.com/science/article/pii/S0043135417308692
Cheng:2014:GPTP Application of Machine-Learning Methods to Understand Gene Expression Regulation
ChaoCheng.html
WilliamPWorzel.html
http___dx.doi.org_10.1007_978-3-319-16030-6_1 http://dx.doi.org/10.1007/978-3-319-16030-6_1
Cheng:1997:rphGPri Recognizing Poker Hands with Genetic Programming and Restricted Iteration
CleveCheng.html
Cheng:2018:cin A Seasonal Time-Series Model Based on Gene Expression Programming for Predicting Financial Distress
Ching-HsueCheng.html
Chia-PangChan.html
Jun-HeYang.html
http___dx.doi.org_10.1155_2018_1067350 http://dx.doi.org/10.1155/2018/1067350
Cheng:2017:BIGCOM Evaluation and Design of Non-cryptographic Hash Functions for Network Data Stream Algorithms
GuangCheng.html
YangYan.html
http___dx.doi.org_10.1109_BIGCOM.2017.38 http://dx.doi.org/10.1109/BIGCOM.2017.38
Cheng:2009:ASIA Improved Genetic Programming Model for Software Reliability
HuifangCheng.html
YongqiangZhang.html
JingZhao.html
http___dx.doi.org_10.1109_ASIA.2009.38 http://dx.doi.org/10.1109/ASIA.2009.38
Cheng:2009:ASIA2 Improved Genetic Programming Algorithm
HuifangCheng.html
YongqiangZhang.html
FangpingLi.html
http___dx.doi.org_10.1109_ASIA.2009.39 http://dx.doi.org/10.1109/ASIA.2009.39
Cheng:2021:JIM Data mining for fast and accurate makespan estimation in machining workshops
LixinCheng.html
QiuhuaTang.html
ZikaiZhang.html
ShiqianWu.html
http___link.springer.com_10.1007_s10845-020-01585-y http://link.springer.com/10.1007/s10845-020-01585-y
http___dx.doi.org_10.1007_s10845-020-01585-y http://dx.doi.org/10.1007/s10845-020-01585-y
Cheng:2018:SmartWorld An Efficient Cooperative Co-Evolutionary Gene Expression Programming
TiantianCheng.html
JinghuiZhong.html
http___dx.doi.org_10.1109_SmartWorld.2018.00246 http://dx.doi.org/10.1109/SmartWorld.2018.00246
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TiantianCheng.html
JinghuiZhong.html
https___doi.org_10.1007_s12293-020-00311-8 https://doi.org/10.1007/s12293-020-00311-8
http___dx.doi.org_10.1007_s12293-020-00311-8 http://dx.doi.org/10.1007/s12293-020-00311-8
https___dblp.org_rec_journals_memetic_ChengZ20.bib https://dblp.org/rec/journals/memetic/ChengZ20.bib
oai:CiteSeerPSU:521419 Air Traffic Control Using Genetic Search Techniques
VictorHLCheng.html
LSCrawford.html
PKMenon.html
http___www.optisyn.com_research_papers_papers_1999_traffic_99.pdf http://www.optisyn.com/research/papers/papers/1999/traffic_99.pdf
http___citeseer.ist.psu.edu_521419.html http://citeseer.ist.psu.edu/521419.html
http___dx.doi.org_10.1109_CCA.1999.806209 http://dx.doi.org/10.1109/CCA.1999.806209
CHENG:2020:CIE An intelligent supplier evaluation model based on data-driven support vector regression in global supply chain
YijunCheng.html
JunPeng.html
XinGu.html
XiaoyongZhang.html
WeirongLiu.html
ZhuofuZhou.html
YingzeYang.html
ZhiwuHuang.html
http___dx.doi.org_10.1016_j.cie.2019.04.047 http://dx.doi.org/10.1016/j.cie.2019.04.047
http___www.sciencedirect.com_science_article_pii_S036083521930258X http://www.sciencedirect.com/science/article/pii/S036083521930258X
CHENG:2020:EG Genetic programming model for estimating soil suction in shallow soil layers in the vicinity of a tree
Zhi-LiangCheng.html
Wan-Huan_Hanna_Zhou.html
AnkitGarg.html
http___dx.doi.org_10.1016_j.enggeo.2020.105506 http://dx.doi.org/10.1016/j.enggeo.2020.105506
http___www.sciencedirect.com_science_article_pii_S0013795219308154 http://www.sciencedirect.com/science/article/pii/S0013795219308154
CHENG:2023:enggeo Physics-guided genetic programming for predicting field-monitored suction variation with effects of vegetation and atmosphere
Zhi-LiangCheng.html
KKPabodhaMKannangara.html
Li-JunSu.html
Wan-Huan_Hanna_Zhou.html
ChenTian.html
http___dx.doi.org_10.1016_j.enggeo.2023.107031 http://dx.doi.org/10.1016/j.enggeo.2023.107031
https___www.sciencedirect.com_science_article_pii_S0013795223000480 https://www.sciencedirect.com/science/article/pii/S0013795223000480
CHENG:2022:jrmge Multi-perspective analysis on rainfall-induced spatial response of soil suction in a vegetated soil
Zhi-LiangCheng.html
Wan-Huan_Hanna_Zhou.html
ChenTian.html
http___dx.doi.org_10.1016_j.jrmge.2022.02.009 http://dx.doi.org/10.1016/j.jrmge.2022.02.009
https___www.sciencedirect.com_science_article_pii_S1674775522000622 https://www.sciencedirect.com/science/article/pii/S1674775522000622
Chennupati:2013:mendel An Empirical Analysis Through the Time Complexity of GE Problems
GopinathChennupati.html
ConorRyan.html
RMuhammadAtifAzad.html
https___www.researchgate.net_publication_264464282_An_empirical_analysis_through_the_time_complexity_of_GE_problems https://www.researchgate.net/publication/264464282_An_empirical_analysis_through_the_time_complexity_of_GE_problems
Chennupati:2014:NaBIC On The Efficiency of Multi-core Grammatical Evolution (MCGE) Evolving Multi-Core Parallel Programs
GopinathChennupati.html
JeannieFitzgerald.html
ConorRyan.html
http___dx.doi.org_10.1109_NaBIC.2014.6921885 http://dx.doi.org/10.1109/NaBIC.2014.6921885
Chennupati:2014:GECCOcomp Predict the success or failure of an evolutionary algorithm run
GopinathChennupati.html
ConorRyan.html
RMuhammadAtifAzad.html
http___doi.acm.org_10.1145_2598394.2598471 http://doi.acm.org/10.1145/2598394.2598471
http___dx.doi.org_10.1145_2598394.2598471 http://dx.doi.org/10.1145/2598394.2598471
Chennupati:2014:GECCOcompa Multi-core GE: automatic evolution of CPU based multi-core parallel programs
GopinathChennupati.html
RMuhammadAtifAzad.html
ConorRyan.html
http___doi.acm.org_10.1145_2598394.2605670 http://doi.acm.org/10.1145/2598394.2605670
http___dx.doi.org_10.1145_2598394.2605670 http://dx.doi.org/10.1145/2598394.2605670
Chennupati:2014:GECCOcompb Predict the performance of GE with an ACO based machine learning algorithm
GopinathChennupati.html
RMuhammadAtifAzad.html
ConorRyan.html
http___doi.acm.org_10.1145_2598394.2609860 http://doi.acm.org/10.1145/2598394.2609860
http___dx.doi.org_10.1145_2598394.2609860 http://dx.doi.org/10.1145/2598394.2609860
Chennupati:2015:EuroGP Automatic Evolution of Parallel Recursive Programs
GopinathChennupati.html
RMuhammadAtifAzad.html
ConorRyan.html
http___dx.doi.org_10.1007_978-3-319-16501-1_14 http://dx.doi.org/10.1007/978-3-319-16501-1_14
Chennupati:2015:evoApplications Automatic Evolution of Parallel Sorting Programs on Multi-cores
GopinathChennupati.html
RMuhammadAtifAzad.html
ConorRyan.html
http___dx.doi.org_10.1007_978-3-319-16549-3_57 http://dx.doi.org/10.1007/978-3-319-16549-3_57
Chennupati:2015:GECCO Performance Optimization of Multi-Core Grammatical Evolution Generated Parallel Recursive Programs
GopinathChennupati.html
RMuhammadAtifAzad.html
ConorRyan.html
http___doi.acm.org_10.1145_2739480.2754746 http://doi.acm.org/10.1145/2739480.2754746
http___dx.doi.org_10.1145_2739480.2754746 http://dx.doi.org/10.1145/2739480.2754746
Chennupati:2015:GECCOcomp Synthesis of Parallel Iterative Sorts with Multi-Core Grammatical Evolution
GopinathChennupati.html
RMuhammadAtifAzad.html
ConorRyan.html
http___doi.acm.org_10.1145_2739482.2768458 http://doi.acm.org/10.1145/2739482.2768458
http___dx.doi.org_10.1145_2739482.2768458 http://dx.doi.org/10.1145/2739482.2768458
Chennupati:2015:GECCOcompa On the Automatic Generation of Efficient Parallel Iterative Sorting Algorithms
GopinathChennupati.html
RMuhammadAtifAzad.html
ConorRyan.html
http___doi.acm.org_10.1145_2739482.2764695 http://doi.acm.org/10.1145/2739482.2764695
http___dx.doi.org_10.1145_2739482.2764695 http://dx.doi.org/10.1145/2739482.2764695
Chennupati:thesis Grammatical Evolution + Multi-Cores = Automatic Parallel Programming!
GopinathChennupati.html
http___www.skynet.ie__cgnath_docs_thesis.pdf http://www.skynet.ie/~cgnath/docs/thesis.pdf
Chennupati:2016:CEC Automatic Lock-free Parallel Programming on Multi-core Processors
GopinathChennupati.html
RMuhammadAtifAzad.html
ConorRyan.html
https___www.youtube.com_watch_v_SII66L9jKbc https://www.youtube.com/watch?v=SII66L9jKbc
http___www.cs.ucl.ac.uk_staff_W.Langdon_cec2016_PID_16921_Chennupati_Presentation.mp4 http://www.cs.ucl.ac.uk/staff/W.Langdon/cec2016/PID_16921_Chennupati_Presentation.mp4
http___dx.doi.org_10.1109_CEC.2016.7744316 http://dx.doi.org/10.1109/CEC.2016.7744316
Chennupati:2018:hbge Synthesis of Parallel Programs on Multi-Cores
GopinathChennupati.html
RMuhammadAtifAzad.html
ConorRyan.html
StephanEidenbenz.html
NandakishoreSanthi.html
http___dx.doi.org_10.1007_978-3-319-78717-6_12 http://dx.doi.org/10.1007/978-3-319-78717-6_12
Cherrier:2019:CEC Consistent Feature Construction with Constrained Genetic Programming for Experimental Physics
NoelieCherrier.html
Jean-PhilippePoli.html
MaximeDefurne.html
FranckSabatie.html
http___dx.doi.org_10.1109_CEC.2019.8789937 http://dx.doi.org/10.1109/CEC.2019.8789937
Cheung:2012:CEC Use of evolutionary computation techniques for exploration and prediction of helicopter loads
CatherineCheung.html
JulioJValdes.html
MatthewLi.html
http___dx.doi.org_10.1109_CEC.2012.6252905 http://dx.doi.org/10.1109/CEC.2012.6252905
Chia:2020:SSCI Designing Card Game Strategies with Genetic Programming and Monte-Carlo Tree Search: A Case Study of Hearthstone
Hao-ChengChia.html
Tsung-SuYeh.html
Tsung-CheChiang.html
http___dx.doi.org_10.1109_SSCI47803.2020.9308459 http://dx.doi.org/10.1109/SSCI47803.2020.9308459
https___scholar.lib.ntnu.edu.tw_en_publications_designing-card-game-strategies-with-genetic-programming-and-monte-2 https://scholar.lib.ntnu.edu.tw/en/publications/designing-card-game-strategies-with-genetic-programming-and-monte-2
DBLP:journals/ijcia/ChiaT01 Neural Logic Network Learning Using Genetic Programming
HenryWai-KitChia.html
Chew-LimTan.html
http___dx.doi.org_10.1142_S1469026801000299 http://dx.doi.org/10.1142/S1469026801000299
chia:2004:lbp Association-Based Evolution of Comprehensible Neural Logic Networks
HenryWai-KitChia.html
Chew-LimTan.html
http___gpbib.cs.ucl.ac.uk_gecco2004_LBP061.pdf http://gpbib.cs.ucl.ac.uk/gecco2004/LBP061.pdf
chia:cas:gecco2004 Confidence and Support Classification Using Genetically Programmed Neural Logic Networks
HenryWai-KitChia.html
Chew-LimTan.html
http___dx.doi.org_10.1007_b98645 http://dx.doi.org/10.1007/b98645
http___www.comp.nus.edu.sg__tancl_Papers_GECCO2004_gecco04post.pdf http://www.comp.nus.edu.sg/~tancl/Papers/GECCO2004/gecco04post.pdf
10.1109/TKDE.2006.111 Enhancing Knowledge Discovery via Association-Based Evolution of Neural Logic Networks
HenryWai-KitChia.html
Chew-LimTan.html
SamYSung.html
http___dx.doi.org_10.1109_TKDE.2006.111 http://dx.doi.org/10.1109/TKDE.2006.111
chia-hsuanyeh:2001:gecco The Differences between Social and Individual Learning on the Time Series Properties: The Approach Based on Genetic Programming
ChiaHsuanYeh.html
Shu-HengChen.html
http___gpbib.cs.ucl.ac.uk_gecco2001_d02.pdf http://gpbib.cs.ucl.ac.uk/gecco2001/d02.pdf
Chiang:2010:3CA A genetic programming based rule generation approach for intelligent control systems
Cheng-HsiungChiang.html
http___dx.doi.org_10.1109_3CA.2010.5533882 http://dx.doi.org/10.1109/3CA.2010.5533882
Chicotay:2014:CVPRW Image Registration of Very Large Images via Genetic Programming
SaritChicotay.html
OmidEDavid.html
NathanSNetanyahu.html
http___dx.doi.org_10.1109_CVPRW.2014.56 http://dx.doi.org/10.1109/CVPRW.2014.56
wpa98086 An Adaptive Evolutionary Approach to Option Pricing via Genetic Programming
NKChidambaran.html
Chi-WenJevonsLee.html
JoaquinRTrigueros.html
http___www.stern.nyu.edu_fin_workpapers_wpa98086.pdf http://www.stern.nyu.edu/fin/workpapers/wpa98086.pdf
chidambaran:1998:aeaopGP An Adaptive Evolutionary Approach to Option Pricing via Genetic Programming
NKChidambaran.html
Chi-WenJevonsLee.html
JoaquinRTrigueros.html
chidambaran:2002:ECEF Option Pricing via Genetic Programming
NKChidambaran.html
JoaquinTriqueros.html
Chi-WenJevonsLee.html
http___dx.doi.org_10.1007_978-3-7908-1784-3_20 http://dx.doi.org/10.1007/978-3-7908-1784-3_20
Chidambaran:2003:WSC Genetic programming with Monte Carlo simulation for option pricing
NKChidambaran.html
http___www.informs-sim.org_wsc03papers_035.pdf http://www.informs-sim.org/wsc03papers/035.pdf
Chie:gecco06lbp Model for Evolutionary Technology - An Automatically Defined Terminal Approach
Bin-TzongChie.html
Chih-ChienWang.html
http___gpbib.cs.ucl.ac.uk_gecco2006etc_papers_lbp129.pdf http://gpbib.cs.ucl.ac.uk/gecco2006etc/papers/lbp129.pdf
Bin-Tzong_Chie:thesis Innovation in Economics: Agent-Based Computational Modelling
Bin-TzongChie.html
http___www.aiecon.org_whoweare__btc_ http://www.aiecon.org/whoweare/~btc/
https___hdl.handle.net_11296_259n33 https://hdl.handle.net/11296/259n33
chie:2014:AS Competition in a New Industrial Economy: Toward an Agent-Based Economic Model of Modularity
Bin-TzongChie.html
Shu-HengChen.html
https___www.mdpi.com_2076-3387_4_3_192 https://www.mdpi.com/2076-3387/4/3/192
http___dx.doi.org_10.3390_admsci4030192 http://dx.doi.org/10.3390/admsci4030192
Chien:2002:ESA Learning discriminant functions with fuzzy attributes for classification using genetic programming
Been-ChianChien.html
MickJung-YiLin.html
Tzung-PeiHong.html
http___www.sciencedirect.com_science_article_B6V03-45C00T2-1_2_e7d49cc18dd12961ac2e5c114c41f667 http://www.sciencedirect.com/science/article/B6V03-45C00T2-1/2/e7d49cc18dd12961ac2e5c114c41f667
http___dx.doi.org_10.1016_S0957-4174_02_00025-8 http://dx.doi.org/10.1016/S0957-4174(02)00025-8
Chien:2002:KES A Classifier with the Function-based Decision Tree
Been-ChianChien.html
MickJung-YiLin.html
http___myweb.nutn.edu.tw__bcchien_Papers_C_KES2002.pdf http://myweb.nutn.edu.tw/~bcchien/Papers/C_KES2002.pdf
Chien:2003:DaWaK Generating Effective Classifiers with Supervised Learning of Genetic Programming
Been-ChianChien.html
Jui-HsiangYang.html
Wen-YangLin.html
http___dx.doi.org_10.1007_b11825 http://dx.doi.org/10.1007/b11825
Chien:2004:PR Learning effective classifiers with Z-value measure based on genetic programming
Been-ChianChien.html
MickJung-YiLin.html
Wei-PangYang.html
http___www.sciencedirect.com_science_article_B6V14-4CPVJFT-3_2_51f0ecbd7d198da15f4ae094e378c5d0 http://www.sciencedirect.com/science/article/B6V14-4CPVJFT-3/2/51f0ecbd7d198da15f4ae094e378c5d0
http___dx.doi.org_10.1016_j.patcog.2004.03.016 http://dx.doi.org/10.1016/j.patcog.2004.03.016
Chien:2006:ICSMC Features Selection based on Rough Membership and Genetic Programming
Been-ChianChien.html
Jui-HsiangYang.html
http___dx.doi.org_10.1109_ICSMC.2006.384780 http://dx.doi.org/10.1109/ICSMC.2006.384780
DBLP:journals/mvl/ChienYH11 Learning Discriminant Functions based on Genetic Programming and Rough Sets
Been-ChianChien.html
Jui-HsiangYang.html
Tzung-PeiHong.html
http___www.oldcitypublishing.com_journals_mvlsc-home_mvlsc-issue-contents_mvlsc-volume-17-number-2-3-2011_mvlsc-17-2-3-p-135-155_ http://www.oldcitypublishing.com/journals/mvlsc-home/mvlsc-issue-contents/mvlsc-volume-17-number-2-3-2011/mvlsc-17-2-3-p-135-155/
Chikumbo:2015:JMCDA Triple Bottomline Many-Objective-Based Decision Making for a Land Use Management Problem
OliverChikumbo.html
ErikGoodman.html
KalyanmoyDeb.html
https___onlinelibrary.wiley.com_doi_abs_10.1002_mcda.1536 https://onlinelibrary.wiley.com/doi/abs/10.1002/mcda.1536
http___dx.doi.org_10.1002_mcda.1536 http://dx.doi.org/10.1002/mcda.1536
Chimisliu:2012:AST Category Partition Method and Satisfiability Modulo Theories for test case generation
ValentinConstantinChimisliu.html
FranzWotawa.html
http___dx.doi.org_10.1109_IWAST.2012.6228992 http://dx.doi.org/10.1109/IWAST.2012.6228992
CS-TR-07-3 Object Detection using Neural Networks and Genetic Programming
BarretChin.html
MengjieZhang.html
http___www.mcs.vuw.ac.nz_comp_Publications_archive_CS-TR-07_CS-TR-07-3.pdf http://www.mcs.vuw.ac.nz/comp/Publications/archive/CS-TR-07/CS-TR-07-3.pdf
http___www.mcs.vuw.ac.nz_comp_Publications_CS-TR-07-3.abs.html http://www.mcs.vuw.ac.nz/comp/Publications/CS-TR-07-3.abs.html
conf/evoW/ChinZ08 Object Detection Using Neural Networks and Genetic Programming
BarretChin.html
MengjieZhang.html
http___dx.doi.org_10.1007_978-3-540-78761-7_34 http://dx.doi.org/10.1007/978-3-540-78761-7_34
Chinthalapati:thesis Probabilistic Learning and Optimization Applied to Quantitative Finance
VLRajuChinthalapati.html
http___www.lse.ac.uk_Mathematics_Research-Students_PhD-Roll-of-Honour http://www.lse.ac.uk/Mathematics/Research-Students/PhD-Roll-of-Honour
https___www.genealogy.math.ndsu.nodak.edu_id.php_id_192002 https://www.genealogy.math.ndsu.nodak.edu/id.php?id=192002
https___librarysearch.lse.ac.uk_permalink_f_1jad15a_44LSE_ALMA_DS21136217410002021 https://librarysearch.lse.ac.uk/permalink/f/1jad15a/44LSE_ALMA_DS21136217410002021
Chinthalapati:2012:CIFEr Volatility Forecast in FX Markets using Evolutionary Computing and Heuristic Technique
VLRajuChinthalapati.html
http___dx.doi.org_10.1109_CIFEr.2012.6327813 http://dx.doi.org/10.1109/CIFEr.2012.6327813
1144138 Genetic programming for agricultural purposes
ClementChion.html
LuisEDaCosta.html
Jacques-AndreLandry.html
http___gpbib.cs.ucl.ac.uk_gecco2006_docs_p783.pdf http://gpbib.cs.ucl.ac.uk/gecco2006/docs/p783.pdf
http___dx.doi.org_10.1145_1143997.1144138 http://dx.doi.org/10.1145/1143997.1144138
Chion:2008:ieeeTGRS A Genetic-Programming-Based Method for Hyperspectral Data Information Extraction: Agricultural Applications
ClementChion.html
Jacques-AndreLandry.html
LuisEDaCosta.html
http___dx.doi.org_10.1109_TGRS.2008.922061 http://dx.doi.org/10.1109/TGRS.2008.922061
Chittilappilly:2023:ACCAI A Comparative Analysis of Optimizing Medical Insurance Prediction Using Genetic Algorithm and Other Machine Learning Algorithms
RoseMaryChittilappilly.html
SanjanaSuresh.html
ShanthiniShanmugam.html
http___dx.doi.org_10.1109_ACCAI58221.2023.10199979 http://dx.doi.org/10.1109/ACCAI58221.2023.10199979
1277274 A data parallel approach to genetic programming using programmable graphics hardware
DarrenMChitty.html
http___gpbib.cs.ucl.ac.uk_gecco2007_docs_p1566.pdf http://gpbib.cs.ucl.ac.uk/gecco2007/docs/p1566.pdf
http___dx.doi.org_10.1145_1276958.1277274 http://dx.doi.org/10.1145/1276958.1277274
Chitty:2012:SC Fast parallel genetic programming: multi-core CPU versus many-core GPU
DarrenMChitty.html
http___dx.doi.org_10.1007_s00500-012-0862-0 http://dx.doi.org/10.1007/s00500-012-0862-0
http___www.cs.bris.ac.uk_Publications_Papers_2001629.pdf http://www.cs.bris.ac.uk/Publications/Papers/2001629.pdf
Chitty:thesis Improving the computational speed of genetic programming
DarrenMChitty.html
http___ethos.bl.uk_OrderDetails.do_uin_uk.bl.ethos.686812 http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.686812
Chitty:2016:ArXiv Faster GPU Based Genetic Programming Using A Two Dimensional Stack
DarrenMChitty.html
http___arxiv.org_abs_1601.00221 http://arxiv.org/abs/1601.00221
journals/soco/Chitty16 Improving the performance of GPU-based genetic programming through exploitation of on-chip memory
DarrenMChitty.html
http___dx.doi.org_10.1007_s00500-014-1530-3 http://dx.doi.org/10.1007/s00500-014-1530-3
http___dx.doi.org_10.1007_s00500-014-1530-3 http://dx.doi.org/10.1007/s00500-014-1530-3
Chitty:2016:SGAI Experiments with High Performance Genetic Programming for Classification Problems
DarrenMChitty.html
https___link.springer.com_chapter_10.1007_978-3-319-47175-4_15 https://link.springer.com/chapter/10.1007/978-3-319-47175-4_15
http___dx.doi.org_10.1007_978-3-319-47175-4_15 http://dx.doi.org/10.1007/978-3-319-47175-4_15
chitty2017faster Faster GPU-based genetic programming using a two-dimensional stack
DarrenMChitty.html
https___link.springer.com_article_10.1007_s00500-016-2034-0 https://link.springer.com/article/10.1007/s00500-016-2034-0
http___dx.doi.org_10.1007_s00500-016-2034-0 http://dx.doi.org/10.1007/s00500-016-2034-0
chitty:2018:ukci Exploiting Tournament Selection for Efficient Parallel Genetic Programming
DarrenMChitty.html
http___dx.doi.org_10.1007_978-3-319-97982-3_4 http://dx.doi.org/10.1007/978-3-319-97982-3_4
chitty:2023:GECCOcomp Phased Genetic Programming for Application to the Traveling Salesman Problem
DarrenMChitty.html
EdKeedwell.html
http___dx.doi.org_10.1145_3583133.3590673 http://dx.doi.org/10.1145/3583133.3590673
Chiu:2001:AGP The Application of Genetic Programming in Milk Yield Prediction for Dairy Cows
ChaochangChiu.html
Jih-TayHsu.html
Chih-YungLin.html
http___dx.doi.org_10.1007_3-540-45554-X_75 http://dx.doi.org/10.1007/3-540-45554-X_75
Chivilikhin:2013:GECCO MuACOsm: a new mutation-based ant colony optimization algorithm for learning finite-state machines
DaniilChivilikhin.html
VladimirUlyantsev.html
http___dx.doi.org_10.1145_2463372.2463440 http://dx.doi.org/10.1145/2463372.2463440
Chivilikhin:2015:GECCOcomp Inferring Temporal Properties of Finite-State Machine Models with Genetic Programming
DaniilChivilikhin.html
IlyaIvanov.html
AnatolyAbramovichShalyto.html
http___doi.acm.org_10.1145_2739482.2768475 http://doi.acm.org/10.1145/2739482.2768475
http___dx.doi.org_10.1145_2739482.2768475 http://dx.doi.org/10.1145/2739482.2768475
Chivilikhin:2013:PV Solving Five Instances of the Artificial Ant Problem with Ant Colony Optimization
DaniilChivilikhin.html
VladimirUlyantsev.html
AnatolyAbramovichShalyto.html
http___dx.doi.org_10.3182_20130619-3-RU-3018.00436 http://dx.doi.org/10.3182/20130619-3-RU-3018.00436
http___www.sciencedirect.com_science_article_pii_S1474667016344275 http://www.sciencedirect.com/science/article/pii/S1474667016344275
chlebik:2023:GECCOcomp Evolutionary Optimization of a Focused Ultrasound Propagation Predictor Neural Network
JakubChlebik.html
JiriJaros.html
http___dx.doi.org_10.1145_3583133.3590661 http://dx.doi.org/10.1145/3583133.3590661
cho:1996:mNNeGP Modular Neural Networks Evolved by Genetic Programming
SungBaeCho.html
KatsunoriShimohara.html
http___dx.doi.org_10.1109_ICEC.1996.542683 http://dx.doi.org/10.1109/ICEC.1996.542683
cho:1998:mNNeGP Evolutionary Learning of Modular Neural Networks with Genetic Programming
SungBaeCho.html
KatsunoriShimohara.html
http___dx.doi.org_10.1023_A_1008388118869 http://dx.doi.org/10.1023/A:1008388118869
aspgp03 Proceedings of The First Asian-Pacific Workshop on Genetic Programming
SungBaeCho.html
NguyenXuanHoai.html
YinShan.html
http___sc.snu.ac.kr__aspgp_aspgp03_aspgp03.html http://sc.snu.ac.kr/~aspgp/aspgp03/aspgp03.html
D.Y.Cho:1998:GPmacstt Genetic programming of multi-agent cooperation strategies for table transport
Dong-YeonCho.html
Byoung-TakZhang.html
http___bi.snu.ac.kr_Publications_Conferences_International_AFSS98_ChoDY.pdf http://bi.snu.ac.kr/Publications/Conferences/International/AFSS98_ChoDY.pdf
cho:1999:GPalecri Genetic programming-based Alife techniques for evolving collective robotic intelligence
Dong-YeonCho.html
Byoung-TakZhang.html
http___bi.snu.ac.kr_Publications_Conferences_International_AROB99.ps http://bi.snu.ac.kr/Publications/Conferences/International/AROB99.ps
http___citeseer.ist.psu.edu_455064.html http://citeseer.ist.psu.edu/455064.html
Cho:2006:B Identification of biochemical networks by S-tree based genetic programming
Dong-YeonCho.html
Kwang-HyunCho.html
Byoung-TakZhang.html
http___dx.doi.org_10.1093_bioinformatics_btl122 http://dx.doi.org/10.1093/bioinformatics/btl122
Choenni:1999:SGB On the Suitability of Genetic-Based Algorithms for Data Mining
SunilChoenni.html
http___dx.doi.org_10.1007_978-3-540-49121-7_5 http://dx.doi.org/10.1007/978-3-540-49121-7_5
choenni:1998:SGADM On the Suitability of Genetic-Based Algorithms for Data Mining
SunilChoenni.html
http___www.nlr.nl_NLR-TP-98484.pdf http://www.nlr.nl/NLR-TP-98484.pdf
http___citeseer.ist.psu.edu_271039.html http://citeseer.ist.psu.edu/271039.html
choenni:1999:ieGDMa Implementation and Evaluation of a Genetic-Based Data Mining Algorithm
SunilChoenni.html
choi:1995:OLANUGA Optimizing Local Area Networks Using Genetic Algorithms
AndyChoi.html
Choi:2015:EE Physical habitat simulations of the Dal River in Korea using the GEP Model
ByungwoongChoi.html
Sung-UkChoi.html
http___dx.doi.org_10.1016_j.ecoleng.2015.06.042 http://dx.doi.org/10.1016/j.ecoleng.2015.06.042
http___www.sciencedirect.com_science_article_pii_S0925857415301038 http://www.sciencedirect.com/science/article/pii/S0925857415301038
Choi:2021:AbdomRadiol Preoperative prediction of the stage, size, grade, and necrosis score in clear cell renal cell carcinoma using MRI-based radiomics
JiWhaeChoi.html
RongHu.html
YijunZhao.html
SubhanikPurkayastha.html
JingWu.html
AidanJMcGirr.html
SWilliamStavropoulos.html
AlvinCSilva.html
MichaelCSoulen.html
MatthewBPalmer.html
PaulJLZhang.html
ChengzhangZhu.html
SunHoAhn.html
HarrisonXBai.html
http___dx.doi.org_10.1007_s00261-020-02876-x http://dx.doi.org/10.1007/s00261-020-02876-x
Choi:2018:SSBSE Learning Fault Localisation for Both Humans and Machines using Multi-Objective GP
KabdoChoi.html
JeongjuSohn.html
ShinYoo.html
https___coinse.kaist.ac.kr_publications_pdfs_Choi2018aa.pdf https://coinse.kaist.ac.kr/publications/pdfs/Choi2018aa.pdf
http___dx.doi.org_10.1007_978-3-319-99241-9_20 http://dx.doi.org/10.1007/978-3-319-99241-9_20
choi:pao:gecco2004 Polynomial Approximation of Survival Probabilities Under Multi-point Crossover
Sung-SoonChoi.html
Byung-RoMoon.html
http___dx.doi.org_10.1007_b98643 http://dx.doi.org/10.1007/b98643
CHOI:2017:SEC Artificial life based on boids model and evolutionary chaotic neural networks for creating artworks
TaeJongChoi.html
ChangWookAhn.html
http___dx.doi.org_10.1016_j.swevo.2017.09.003 http://dx.doi.org/10.1016/j.swevo.2017.09.003
http___www.sciencedirect.com_science_article_pii_S2210650217301700 http://www.sciencedirect.com/science/article/pii/S2210650217301700
Choi:2010:ICIP Computer-aided detection of pulmonary nodules using genetic programming
Wook-JinChoi.html
TaeSunChoi.html
http___dx.doi.org_10.1109_ICIP.2010.5652369 http://dx.doi.org/10.1109/ICIP.2010.5652369
Choi201257 Genetic programming-based feature transform and classification for the automatic detection of pulmonary nodules on computed tomography images
Wook-JinChoi.html
TaeSunChoi.html
http___dx.doi.org_10.1016_j.ins.2012.05.008 http://dx.doi.org/10.1016/j.ins.2012.05.008
http___www.sciencedirect.com_science_article_pii_S0020025512003362 http://www.sciencedirect.com/science/article/pii/S0020025512003362
Chong:2013:SMC Collaborative Analytics with Genetic Programming for Workflow Recommendation
CheeSengChong.html
TianyouZhang.html
KeeKhoonLee.html
TerenceHung.html
BuSungLee.html
http___dx.doi.org_10.1109_SMC.2013.117 http://dx.doi.org/10.1109/SMC.2013.117
Chong:2022:AP-S Using Genetic Programming to Achieve High Broadband Absorptivity Metamaterial in Compact Radar Band (1-11 GHz) without Lossy Materials
EdmondCMChong.html
ScottClemens.html
MagdyFIskander.html
ZhengqingYun.html
JosephJBrown.html
MatthewNakamura.html
http___dx.doi.org_10.1109_AP-S_USNC-URSI47032.2022.9886220 http://dx.doi.org/10.1109/AP-S/USNC-URSI47032.2022.9886220
Chong:2023:USNC-URSI Hybrid Genetic Programming-Based Comparative Design of Broadband Metamaterial Absorbers Using Graphene, Resistive Sheets, and Carbon Fiber
EdmondCMChong.html
SunnyZhang.html
MagdyFIskander.html
ZhengqingYun.html
http___dx.doi.org_10.1109_USNC-URSI52151.2023.10237681 http://dx.doi.org/10.1109/USNC-URSI52151.2023.10237681
p.chong:mastersthesis A Java based Distributed Approach to Genetic Programming on the Internet
PhyllisChong.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_p.chong_p.chong.msc.25-sep-98.ps.gz http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/p.chong/p.chong.msc.25-sep-98.ps.gz
chong:1999:jDGPiTR Java based Distributed Genetic Programming on the Internet
PhyllisChong.html
ftp___ftp.cs.bham.ac.uk_pub_tech-reports_1999_CSRP-99-07.ps.gz ftp://ftp.cs.bham.ac.uk/pub/tech-reports/1999/CSRP-99-07.ps.gz
chong:1999:jDGPi Java based Distributed Genetic Programming on the Internet
PhyllisChong.html
WilliamBLangdon.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_p.chong_DGPposter.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/p.chong/DGPposter.pdf
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http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_gp-code_DGP_DGPsrc.tar.gz http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/gp-code/DGP/DGPsrc.tar.gz
chong:1999:parGA Java based Distributed Genetic Programming on the Internet
PhyllisChong.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_p.chong_GeccoWkShop.ps.gz http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/p.chong/GeccoWkShop.ps.gz
chong:1999:jDGPis Java based Distributed Genetic Programming on the Internet
PhyllisChong.html
WilliamBLangdon.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_p.chong_DGPposter.ps.gz http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/p.chong/DGPposter.ps.gz
Chong-cun:2018:ICCCAS Hardware Evolution Platform Reasearch Based on Matrix Coding CGP
Chong-cunLi.html
Li-zhiXu.html
Xue-junSong.html
Zhen-xingGuo.html
XiongLiu.html
http___dx.doi.org_10.1109_ICCCAS.2018.8768964 http://dx.doi.org/10.1109/ICCCAS.2018.8768964
oai:CiteSeerPSU:421006 Using Perturbation To Improve Robustness Of Solutions Generated By Genetic Programming For Robot Learning
PrabhasChongstitvatana.html
http___www.worldscinet.com_123_09_0901n02_S0218126699000128.html http://www.worldscinet.com/123/09/0901n02/S0218126699000128.html
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http___citeseer.ist.psu.edu_421006.html http://citeseer.ist.psu.edu/421006.html
choo:2000:EDLBC Emergence of a Division of Labor in a Bee Colony
Shou-yenChoo.html
chopard2000 Parallel and distributed evolutionary computation for financial applications
BastienChopard.html
OlivierVPictet.html
MarcoTomassini.html
http___dx.doi.org_10.1080_01495730008947348 http://dx.doi.org/10.1080/01495730008947348
BONDAN-CHORISMA-120155201062 Implementesi Algoritma Grammatical Evolution Menggunakan Steady State Untuk Prediksi Ketinggian Gelombang Laut
BondanChorisma.html
NerfitaNikentari.html
MuhamadRadziRathomi.html
http___jurnal.umrah.ac.id_wp-content_uploads_gravity_forms_1-ec61c9cb232a03a96d0947c6478e525e_2017_08_BONDAN-CHORISMA-120155201062.pdf http://jurnal.umrah.ac.id/wp-content/uploads/gravity_forms/1-ec61c9cb232a03a96d0947c6478e525e/2017/08/BONDAN-CHORISMA-120155201062.pdf
Chou200957 Recent developments in parameter estimation and structure identification of biochemical and genomic systems
I-ChunChou.html
EberhardOVoit.html
http___dx.doi.org_10.1016_j.mbs.2009.03.002 http://dx.doi.org/10.1016/j.mbs.2009.03.002
Chou:1998:GC Channel assignment using genetic programming in wireless networks
Li-DerChou.html
Shao-ChiWang.html
http___dx.doi.org_10.1109_GLOCOM.1998.776469 http://dx.doi.org/10.1109/GLOCOM.1998.776469
Chou:2014:ieeeSMC A dynamic stock trading system based on a Multi-objective Quantum-Inspired Tabu Search algorithm
Yao-HsinChou.html
Shu-YuKuo.html
ChunKuo.html
http___dx.doi.org_10.1109_SMC.2014.6973893 http://dx.doi.org/10.1109/SMC.2014.6973893
chouza09:_passiv_analog_filter_desig_using Passive Analog Filter Design Using GP Population Control Strategies
MarianoChouza.html
ClaudioRancan.html
OsvaldoClua.html
RamonGarcia-Martinez.html
http___www.iidia.com.ar_rgm_articulos_CIS-214-153-158.pdf http://www.iidia.com.ar/rgm/articulos/CIS-214-153-158.pdf
http___dx.doi.org_10.1007_978-3-540-92814-0_24 http://dx.doi.org/10.1007/978-3-540-92814-0_24
CHOVET:2017:IFAC-PapersOnLine Machine learning control for experimental shear flows targeting the reduction of a recirculation bubble
CChovet.html
LKeirsbulck.html
BerndRNoack.html
MLippert.html
J-MFoucaut.html
http___dx.doi.org_10.1016_j.ifacol.2017.08.2157 http://dx.doi.org/10.1016/j.ifacol.2017.08.2157
http___www.sciencedirect.com_science_article_pii_S2405896317328264 http://www.sciencedirect.com/science/article/pii/S2405896317328264
Chowdhury:thesis A Study of the Impact of Interaction Mechanisms and Population Diversity in Evolutionary Multiagent Systems
SadatUChowdhury.html
https___academicworks.cuny.edu_gc_etds_1607 https://academicworks.cuny.edu/gc_etds/1607
christensen:2002:EuroGP An Analysis of Koza's Computational Effort Statistic for Genetic Programming
SteffenChristensen.html
FranzOppacher.html
http___dx.doi.org_10.1007_3-540-45984-7_18 http://dx.doi.org/10.1007/3-540-45984-7_18
Christensen:2006:CEC The Y-Test: Fairly Comparing Experimental Setups with Unequal Effort
SteffenChristensen.html
FranzOppacher.html
http___dx.doi.org_10.1109_CEC.2006.1688330 http://dx.doi.org/10.1109/CEC.2006.1688330
1277275 Solving the artificial ant on the Santa Fe trail problem in 20,696 fitness evaluations
SteffenChristensen.html
FranzOppacher.html
http___gpbib.cs.ucl.ac.uk_gecco2007_docs_p1574.pdf http://gpbib.cs.ucl.ac.uk/gecco2007/docs/p1574.pdf
http___dx.doi.org_10.1145_1276958.1277275 http://dx.doi.org/10.1145/1276958.1277275
Christensen:thesis Towards scalable genetic programming
SteffenChristensen.html
https___curve.carleton.ca_1ecedf3e-b559-41e6-aede-eac9b2209694 https://curve.carleton.ca/1ecedf3e-b559-41e6-aede-eac9b2209694
https___curve.carleton.ca_system_files_etd_1ecedf3e-b559-41e6-aede-eac9b2209694_etd_pdf_0ea5e5b5ae68353e6ad775c71c4ee1e4_christensen-towardsscalablegeneticprogramming.pdf https://curve.carleton.ca/system/files/etd/1ecedf3e-b559-41e6-aede-eac9b2209694/etd_pdf/0ea5e5b5ae68353e6ad775c71c4ee1e4/christensen-towardsscalablegeneticprogramming.pdf
http___search.proquest.com_docview_304884668 http://search.proquest.com/docview/304884668
http___www.tamale.uottawa.ca_winter2007_300107.html http://www.tamale.uottawa.ca/winter2007/300107.html
http___dx.doi.org_10.22215_etd_2007-06411 http://dx.doi.org/10.22215/etd/2007-06411
Christmas:2015:GECCOcomp Genetic C Programming with Probabilistic Evaluation
JacquelineChristmas.html
http___doi.acm.org_10.1145_2739482.2764642 http://doi.acm.org/10.1145/2739482.2764642
http___dx.doi.org_10.1145_2739482.2764642 http://dx.doi.org/10.1145/2739482.2764642
Christodoulaki:2022:CEC Using strongly typed genetic programming to combine technical and sentiment analysis for algorithmic trading
EvaChristodoulaki.html
MichaelKampouridis.html
http___dx.doi.org_10.1109_CEC55065.2022.9870240 http://dx.doi.org/10.1109/CEC55065.2022.9870240
Christodoulaki:2022:CIFEr Technical and Sentiment Analysis in Financial Forecasting with Genetic Programming
EvaChristodoulaki.html
MichaelKampouridis.html
PanagiotisKanellopoulos.html
http___dx.doi.org_10.1109_CIFEr52523.2022.9776186 http://dx.doi.org/10.1109/CIFEr52523.2022.9776186
christodoulaki:2023:GECCO Enhanced Strongly Typed Genetic Programming for Algorithmic Trading
EvaChristodoulaki.html
MichaelKampouridis.html
MariaKyropoulou.html
http___dx.doi.org_10.1145_3583131.3590359 http://dx.doi.org/10.1145/3583131.3590359
Christodoulaki:2023:SSCI Fundamental, Technical and Sentiment Analysis for Algorithmic Trading with Genetic Programming
EvaChristodoulaki.html
MichaelKampouridis.html
http___dx.doi.org_10.1109_SSCI52147.2023.10372070 http://dx.doi.org/10.1109/SSCI52147.2023.10372070
Chrosny:thesis Application of genetic programming to text categorization
WojciechMChrosny.html
http___search.proquest.com_docview_85536142_ http://search.proquest.com/docview/85536142/
chu:2022:Forests Application of Temperature and Process Duration as a Method for Predicting the Mechanical Properties of Thermally Modified Timber
DemiaoChu.html
RedzoHasanagic.html
AtifHodzic.html
DavorKrzisnik.html
DamirHodzic.html
MohsenBahmani.html
MarkoPetric.html
MihaHumar.html
https___www.mdpi.com_1999-4907_13_2_217 https://www.mdpi.com/1999-4907/13/2/217
http___dx.doi.org_10.3390_f13020217 http://dx.doi.org/10.3390/f13020217
Chu:2008:cec Crossover Operators to Control Size Growth in Linear GP and Variable Length GAs
DominiqueChu.html
JonathanERowe.html
http___dx.doi.org_10.1109_CEC.2008.4630819 http://dx.doi.org/10.1109/CEC.2008.4630819
Chu:2015:RIVF A new implementation to speed up Genetic Programming
ThiHuongChu.html
QuangUyNguyen.html
http___dx.doi.org_10.1109_RIVF.2015.7049871 http://dx.doi.org/10.1109/RIVF.2015.7049871
Chu:2016:PPSN Tournament Selection based on Statistical Test in Genetic Programming
ThiHuongChu.html
QuangUyNguyen.html
MichaelO'Neill.html
http___dx.doi.org_10.1007_978-3-319-45823-6_28 http://dx.doi.org/10.1007/978-3-319-45823-6_28
Chu:2017:APSIES Reducing code bloat in Genetic Programming based on subtree substituting technique
ThiHuongChu.html
QuangUyNguyen.html
http___dx.doi.org_10.1109_IESYS.2017.8233556 http://dx.doi.org/10.1109/IESYS.2017.8233556
Chu:2018:IS Semantic tournament selection for genetic programming based on statistical analysis of error vectors
ThiHoungChu.html
QuangUyNguyen.html
MichaelO'Neill.html
http___dx.doi.org_10.1016_j.ins.2018.01.030 http://dx.doi.org/10.1016/j.ins.2018.01.030
Chu:2021:RIVF Network Anomaly Detection Using Genetic Programming with Semantic Approximation Techniques
ThiHuongChu.html
QuangUyNguyen.html
http___dx.doi.org_10.1109_RIVF51545.2021.9642140 http://dx.doi.org/10.1109/RIVF51545.2021.9642140
Chu:2018:SoICT Semantics Based Substituting Technique for Reducing Code Bloat in Genetic Programming
ThiHuongChu.html
QuangUyNguyen.html
VanLoiCao.html
http___doi.acm.org_10.1145_3287921.3287948 http://doi.acm.org/10.1145/3287921.3287948
http___dx.doi.org_10.1145_3287921.3287948 http://dx.doi.org/10.1145/3287921.3287948
chu:2019:MMM A Genetic Programming Approach to Integrate Multilayer CNN Features for Image Classification
Wei-TaChu.html
Hao-AnChu.html
http___link.springer.com_chapter_10.1007_978-3-030-05710-7_53 http://link.springer.com/chapter/10.1007/978-3-030-05710-7_53
http___dx.doi.org_10.1007_978-3-030-05710-7_53 http://dx.doi.org/10.1007/978-3-030-05710-7_53
Chuang:2003:UMB Predicting fetal birth weight by ultrasound with the use of genetic programming
LouiseLChuang.html
Jeng-YangHwang.html
Been-ChianChien.html
MickJung-YiLin.html
ChiungHsinChang.html
ChenHsiangYu.html
FongMingChang.html
https___www.umbjournal.org_action_showCitFormats_pii_S0301-5629_2803_2900653-7 https://www.umbjournal.org/action/showCitFormats?pii=S0301-5629%2803%2900653-7
http___dx.doi.org_10.1016_S0301-5629_03_00653-7 http://dx.doi.org/10.1016/S0301-5629(03)00653-7
Chuengsatiansup:2022:GI Opportunities for Genetic Improvement of Cryptographic Code
ChitchanokChuengsatiansup.html
MarkusWagner.html
YuvalYarom.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_gecco2022_gi2022_papers_Chuengsatiansup_2022_GI.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/gecco2022/gi2022/papers/Chuengsatiansup_2022_GI.pdf
http___dx.doi.org_10.1145_3520304.3534049 http://dx.doi.org/10.1145/3520304.3534049
http___geneticimprovementofsoftware.com_slides_gi2022gecco_chuengsatiansup-opportunities-for-genetic-gi-gecco-22.pdf http://geneticimprovementofsoftware.com/slides/gi2022gecco/chuengsatiansup-opportunities-for-genetic-gi-gecco-22.pdf
https___www.youtube.com_watch_v_3xD2zgucpug_list_PLI8fiFpB7BoIHgl5CsdtjfWvHlE5N6pje_index_4 https://www.youtube.com/watch?v=3xD2zgucpug&list=PLI8fiFpB7BoIHgl5CsdtjfWvHlE5N6pje&index=4
Ciesielski:1999:AJ Developing a team of soccer playing robots by genetic programming
VictorCiesielski.html
PeterWilson.html
http___www.cs.rmit.edu.au__vc_papers_aus-jap-ec99.ps.gz http://www.cs.rmit.edu.au/~vc/papers/aus-jap-ec99.ps.gz
ciesielski:2002:poecigpbrosp Prevention of Early Convergence in Genetic Programming by Replacement of Similar Programs
VictorCiesielski.html
DylanMawhinney.html
http___dx.doi.org_10.1109_CEC.2002.1006211 http://dx.doi.org/10.1109/CEC.2002.1006211
Ciesielski:2002:GPR Genetic Programming for Robot Soccer
VictorCiesielski.html
DylanMawhinney.html
PeterWilson.html
http___dx.doi.org_10.1007_3-540-45603-1_37 http://dx.doi.org/10.1007/3-540-45603-1_37
ciesielski:2003:psfsfdpqigp Pyramid search: Finding solutions for deceptive problems quickly in genetic programming
VictorCiesielski.html
XiangLi.html
http___dx.doi.org_10.1109_CEC.2003.1299767 http://dx.doi.org/10.1109/CEC.2003.1299767
ciesielski:2004:ewefigp Experiments with Explicit For-loops in Genetic Programming
VictorCiesielski.html
XiangLi.html
http___dx.doi.org_10.1109_CEC.2004.1330897 http://dx.doi.org/10.1109/CEC.2004.1330897
eurogp:CiesielskiIJM05 Understanding Evolved Genetic Programs for a Real World Object Detection Problem
VictorCiesielski.html
AndrewInnes.html
SabuJohn.html
JohnMamutil.html
http___dx.doi.org_10.1007_978-3-540-31989-4_32 http://dx.doi.org/10.1007/978-3-540-31989-4_32
http___dx.doi.org_10.1007_b107383 http://dx.doi.org/10.1007/b107383
Ciesielski:2006:CEC Analysis of the Superiority of Parameter Optimization over Genetic Programming for a Difficult Object Problem
VictorCiesielski.html
GayanWijesinghe.html
AndrewInnes.html
SabuJohn.html
http___dx.doi.org_10.1109_CEC.2006.1688454 http://dx.doi.org/10.1109/CEC.2006.1688454
eurogp07:ciesielski Data Mining of Genetic Programming Run Logs
VictorCiesielski.html
XiangLi.html
http___dx.doi.org_10.1007_978-3-540-71605-1_26 http://dx.doi.org/10.1007/978-3-540-71605-1_26
Ciesielski:2008:GPEM Linear genetic programming, Springer Science+Business Media, Markus Brameier and Wolfgang Banzhaf, 2007, 315 pp, Book Series: Genetic Programming, Hard Cover, 62.95, ISBN 0-387-31029-0
VictorCiesielski.html
http___dx.doi.org_10.1007_s10710-007-9036-8 http://dx.doi.org/10.1007/s10710-007-9036-8
Ciftci:2009:EAEI Genetic programming approach to predict a model acidolysis system
OzanNazimCiftci.html
SibelFadiloglu.html
FahrettinGogus.html
AytacGuven.html
http___dx.doi.org_10.1016_j.engappai.2009.01.010 http://dx.doi.org/10.1016/j.engappai.2009.01.010
http___www.sciencedirect.com_science_article_B6V2M-4VTVJNC-2_2_5894a9c11ade2e94a1ff09a18b63a062 http://www.sciencedirect.com/science/article/B6V2M-4VTVJNC-2/2/5894a9c11ade2e94a1ff09a18b63a062
ciglaric:2006:SMO Computer-aided derivation of the optimal mathematical models to study gear-pair dynamic by using genetic programming
ICiglaric.html
AKidric.html
http___link.springer.com_article_10.1007_s00158-006-0004-3 http://link.springer.com/article/10.1007/s00158-006-0004-3
http___dx.doi.org_10.1007_s00158-006-0004-3 http://dx.doi.org/10.1007/s00158-006-0004-3
Cilibrasi:2004:CMJ Algorithmic Clustering of Music Based on String Compression
RudiCilibrasi.html
PaulMBVitanyi.html
RonalddeWolf.html
http___homepages.cwi.nl__paulv_papers_music.pdf http://homepages.cwi.nl/~paulv/papers/music.pdf
cs.CL/0412098 Automatic Meaning Discovery Using Google
RudiCilibrasi.html
PaulMBVitanyi.html
http___www.arxiv.org_abs_cs.CL_0412098 http://www.arxiv.org/abs/cs.CL/0412098
http___homepages.cwi.nl__paulv_papers_amdug.pdf http://homepages.cwi.nl/~paulv/papers/amdug.pdf
Cilibrasi:2005:ITIT Clustering by Compression
RudiCilibrasi.html
PaulMBVitanyi.html
http___homepages.cwi.nl__paulv_papers_cluster.pdf http://homepages.cwi.nl/~paulv/papers/cluster.pdf
http___dx.doi.org_10.1109_TIT.2005.844059 http://dx.doi.org/10.1109/TIT.2005.844059
Cilibrasi:2005:pascal A New Quartet Tree Heuristic for Hierarchical Clustering
RudiCilibrasi.html
PaulMBVitanyi.html
http___www.cwi.nl__paulv_papers_quartet.pdf http://www.cwi.nl/~paulv/papers/quartet.pdf
cilibrasi_et_al:DSP:2006:598 A New Quartet Tree Heuristic for Hierarchical Clustering
RudiCilibrasi.html
PaulMBVitany.html
http___drops.dagstuhl.de_opus_volltexte_2006_598_pdf_06061.VitanyiPaulB.Paper.598.pdf http://drops.dagstuhl.de/opus/volltexte/2006/598/pdf/06061.VitanyiPaulB.Paper.598.pdf
http___drops.dagstuhl.de_opus_volltexte_2006_598 http://drops.dagstuhl.de/opus/volltexte/2006/598
Cilibrasi:thesis Statistical Inference Through Data Compression
RudiCilibrasi.html
http___www.illc.uva.nl_Research_Dissertations_DS-2007-01.text.pdf http://www.illc.uva.nl/Research/Dissertations/DS-2007-01.text.pdf
https___books.google.co.uk_books_about_Statistical_Inference_Through_Data_Compr.html_id_PgR1DmReI30C https://books.google.co.uk/books/about/Statistical_Inference_Through_Data_Compr.html?id=PgR1DmReI30C
Cilibrasi:2007:ieeeTKDE The Google Similarity Distance
RudiCilibrasi.html
PaulMBVitanyi.html
http___dx.doi.org_10.1109_TKDE.2007.48 http://dx.doi.org/10.1109/TKDE.2007.48
Cimmino:thesis Enterprise information integration: on discovering links using genetic programming
AndreaJesusCimminoArriaga.html
https___idus.us.es_handle_11441_92456 https://idus.us.es/handle/11441/92456
https___idus.us.es_bitstream_handle_11441_92456_PhD-Report-1.pdf https://idus.us.es/bitstream/handle/11441/92456/PhD-Report-1.pdf
DBLP:journals/jei/CioccaCG16 Genetic programming approach to evaluate complexity of texture images
GianluigiCiocca.html
SilviaCorchs.html
FrancescaGasparini.html
https___doi.org_10.1117_1.JEI.25.6.061408 https://doi.org/10.1117/1.JEI.25.6.061408
http___dx.doi.org_10.1117_1.JEI.25.6.061408 http://dx.doi.org/10.1117/1.JEI.25.6.061408
https___dblp.org_rec_journals_jei_CioccaCG16.bib https://dblp.org/rec/journals/jei/CioccaCG16.bib
Cirillo:2014:GECCOcomp A scalable symbolic expression tree interpreter for the heuristiclab optimization framework
SimoneCirillo.html
StefanLloyd.html
http___doi.acm.org_10.1145_2598394.2605692 http://doi.acm.org/10.1145/2598394.2605692
http___dx.doi.org_10.1145_2598394.2605692 http://dx.doi.org/10.1145/2598394.2605692
DBLP:journals/corr/CirilloLN14 Evolving intraday foreign exchange trading strategies utilizing multiple instruments price series
SimoneCirillo.html
StefanLloyd.html
PeterNordin.html
http___arxiv.org_abs_1411.2153 http://arxiv.org/abs/1411.2153
http___dblp.uni-trier.de_rec_bib_journals_corr_CirilloLN14 http://dblp.uni-trier.de/rec/bib/journals/corr/CirilloLN14
Citakoglu:2020:TAC Solar radiation prediction using multi-gene genetic programming approach
HaticeCitakoglu.html
BilalBabayigit.html
NeseAcanalHaktanir.html
https___avesis.erciyes.edu.tr_publication_details_2c40546c-794d-4d59-98b3-87a478e63ac9_solar-radiation-prediction-using-multi-gene-genetic-programming-approach https://avesis.erciyes.edu.tr/publication/details/2c40546c-794d-4d59-98b3-87a478e63ac9/solar-radiation-prediction-using-multi-gene-genetic-programming-approach
https___rdcu.be_c2XJM https://rdcu.be/c2XJM
http___dx.doi.org_10.1007_s00704-020-03356-4 http://dx.doi.org/10.1007/s00704-020-03356-4
citakoglu:2023:AG Developing numerical equality to regional intensity-duration-frequency curves using evolutionary algorithms and multi-gene genetic programming
HaticeCitakoglu.html
VahdettinDemir.html
http___link.springer.com_article_10.1007_s11600-022-00883-8 http://link.springer.com/article/10.1007/s11600-022-00883-8
http___dx.doi.org_10.1007_s11600-022-00883-8 http://dx.doi.org/10.1007/s11600-022-00883-8
Citi:2009:GPTP High-significance Averages of Event-Related Potential via Genetic Programming
LucaCiti.html
RiccardoPoli.html
CaterinaCinel.html
http___dx.doi.org_10.1007_978-1-4419-1626-6_9 http://dx.doi.org/10.1007/978-1-4419-1626-6_9
clack:1996:adca An Adaptive Document Classification Agent
ChristopherDClack.html
JonnyFarringdon.html
PeterRLidwell.html
TinaYu.html
https___web.archive.org_web_19970817124736_http___www.cs.ucl.ac.uk_80_staff_J.Farringdon_GP_Papers-es96_paper02.html https://web.archive.org/web/19970817124736/http://www.cs.ucl.ac.uk:80/staff/J.Farringdon/GP/Papers-es96/paper02.html
http___www.cs.ucl.ac.uk_research_rns_rns96.html http://www.cs.ucl.ac.uk/research/rns/rns96.html
clack:1996:rn38 Advanced Technology Support for Information Management at Friends of the Earth
ChristopherDClack.html
SJGould.html
PeterRLidwell.html
JanetTMcDonnell.html
ftp___bells.cs.ucl.ac.uk_functional_papers_Published_rn_96_38pagenums.pdf.gz ftp://bells.cs.ucl.ac.uk/functional/papers/Published/rn_96_38pagenums.pdf.gz
http___citeseer.ist.psu.edu_92899.html http://citeseer.ist.psu.edu/92899.html
clack:1996:adcb Autonomous Document Classification for Business
ChristopherDClack.html
JonnyFarringdon.html
PeterRLidwell.html
TinaYu.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_clack_1997_adcb.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/clack_1997_adcb.pdf
clack:1997:adcb Autonomous Document Classification for Business
ChristopherDClack.html
JonnyFarringdon.html
PeterRLidwell.html
TinaYu.html
ftp___ftp.cs.ucl.ac.uk_functional_papers_Published_AA97.pdf.gz ftp://ftp.cs.ucl.ac.uk/functional/papers/Published/AA97.pdf.gz
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_clack_1997_adcb.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/clack_1997_adcb.pdf
http___dx.doi.org_10.1145_267658.267716 http://dx.doi.org/10.1145/267658.267716
clack:1997:edc Software -- The Next Generation: Evolving Document Classification
ChristopherDClack.html
clark:1995:PISW Predator-Prey Interactions in a Simulated World
AdamClark.html
doi:10.1142/S0218196713500227 Evolution of Algebraic Terms 1: Term to Term Operation Continuity
DavidMClark.html
http___www.worldscientific.com_doi_abs_10.1142_S0218196713500227 http://www.worldscientific.com/doi/abs/10.1142/S0218196713500227
http___dx.doi.org_10.1142_S0218196713500227 http://dx.doi.org/10.1142/S0218196713500227
http___groups.yahoo.com_neo_groups_genetic_programming_conversations_messages_6284 http://groups.yahoo.com/neo/groups/genetic_programming/conversations/messages/6284
Evolution_Algebraic_Terrms_2 Evolution of algebraic terms 2: Deep drilling algorithm
DavidMClark.html
MaartenKeijzer.html
LeeSpector.html
http___dx.doi.org_10.1142_S021819671650048X http://dx.doi.org/10.1142/S021819671650048X
Evolution_Algebraic_Terrms_3 Evolution of algebraic terms 3: Term continuity and beam algorithms
DavidMClark.html
LeeSpector.html
http___dx.doi.org_10.1142_S0218196718500352 http://dx.doi.org/10.1142/S0218196718500352
Clarke:2017:miller Cartesian Genetic Programming for Control Engineering
TimClarke.html
http___dx.doi.org_10.1007_978-3-319-67997-6_7 http://dx.doi.org/10.1007/978-3-319-67997-6_7
Claveria:2016:EEE Quantification of Survey Expectations by Means of Symbolic Regression via Genetic Programming to Estimate Economic Growth in Central and Eastern European Economies
OscarClaveriaGonzalez.html
EnricMonteMoreno.html
SalvadorTorra.html
https___doi.org_10.1080_00128775.2015.1136564 https://doi.org/10.1080/00128775.2015.1136564
CLAVERIA:2017:JAE Using survey data to forecast real activity with evolutionary algorithms. A cross-country analysis
OscarClaveriaGonzalez.html
EnricMonteMoreno.html
SalvadorTorra.html
http___dx.doi.org_10.1016_S1514-0326_17_30015-6 http://dx.doi.org/10.1016/S1514-0326(17)30015-6
http___www.sciencedirect.com_science_article_pii_S1514032617300156 http://www.sciencedirect.com/science/article/pii/S1514032617300156
Claveria:2017:AEL Assessment of the effect of the financial crisis on agents expectations through symbolic regression
OscarClaveriaGonzalez.html
EnricMonteMoreno.html
SalvadorTorra.html
https___doi.org_10.1080_13504851.2016.1218419 https://doi.org/10.1080/13504851.2016.1218419
Claveria:2017:QQ A new approach for the quantification of qualitative measures of economic expectations
OscarClaveriaGonzalez.html
EnricMonteMoreno.html
SalvadorTorra.html
https___rdcu.be_bfEKz https://rdcu.be/bfEKz
http___dx.doi.org_10.1007_s11135-016-0416-0 http://dx.doi.org/10.1007/s11135-016-0416-0
Claveria:2018:SIR A Data-Driven Approach to Construct Survey-Based Indicators by Means of Evolutionary Algorithms
OscarClaveriaGonzalez.html
EnricMonteMoreno.html
SalvadorTorra.html
https___rdcu.be_bfELF https://rdcu.be/bfELF
http___dx.doi.org_10.1007_s11205-016-1490-3 http://dx.doi.org/10.1007/s11205-016-1490-3
RePEc:xrp:wpaper:xreap2018-4 Tracking economic growth by evolving expectations via genetic programming: A two-step approach
OscarClaveriaGonzalez.html
EnricMonteMoreno.html
SalvadorTorra.html
http___www.ub.edu_irea_working_papers_2018_201801.pdf http://www.ub.edu/irea/working_papers/2018/201801.pdf
https___ideas.repec.org_p_xrp_wpaper_xreap2018-4.html https://ideas.repec.org/p/xrp/wpaper/xreap2018-4.html
Claveria:2019:CE Evolutionary Computation for Macroeconomic Forecasting
OscarClaveriaGonzalez.html
EnricMonteMoreno.html
SalvadorTorra.html
https___rdcu.be_bfEK5 https://rdcu.be/bfEK5
http___dx.doi.org_10.1007_s10614-017-9767-4 http://dx.doi.org/10.1007/s10614-017-9767-4
Claveria:2019:Empirica Empirical modelling of survey-based expectations for the design of economic indicators in five European regions
OscarClaveriaGonzalez.html
EnricMonteMoreno.html
SalvadorTorra.html
https___rdcu.be_bfELk https://rdcu.be/bfELk
http___dx.doi.org_10.1007_s10663-017-9395-1 http://dx.doi.org/10.1007/s10663-017-9395-1
CLAVERIA:2020:EM Economic forecasting with evolved confidence indicators
OscarClaveriaGonzalez.html
EnricMonteMoreno.html
SalvadorTorra.html
http___dx.doi.org_10.1016_j.econmod.2020.09.015 http://dx.doi.org/10.1016/j.econmod.2020.09.015
http___www.sciencedirect.com_science_article_pii_S0264999320311998 http://www.sciencedirect.com/science/article/pii/S0264999320311998
IREA202001 Economic determinants of employment sentiment: A socio-demographic analysis for the euro area
OscarClaveriaGonzalez.html
IvanaLolic.html
EnricMonteMoreno.html
SalvadorTorra.html
PetarSoric.html
https___ideas.repec.org_p_ira_wpaper_202001.html https://ideas.repec.org/p/ira/wpaper/202001.html
http___www.ub.edu_irea_working_papers_2020_202001.pdf http://www.ub.edu/irea/working_papers/2020/202001.pdf
https___ssrn.com_abstract_3526768 https://ssrn.com/abstract=3526768
http___dx.doi.org_10.2139_ssrn.3526768 http://dx.doi.org/10.2139/ssrn.3526768
Claveria:2022:AS A Genetic Programming Approach for Economic Forecasting with Survey Expectations
OscarClaveriaGonzalez.html
EnricMonteMoreno.html
SalvadorTorra.html
https___www.mdpi.com_2076-3417_12_13_6661 https://www.mdpi.com/2076-3417/12/13/6661
http___dx.doi.org_10.3390_app12136661 http://dx.doi.org/10.3390/app12136661
cleary:2005:EGEWAGAATKP Extending Grammatical Evolution with Attribute Grammars: An Application to Knapsack Problems
RobertCleary.html
http___ncra.ucd.ie_Site_evoilp.html http://ncra.ucd.ie/Site/evoilp.html
http___ncra.ucd.ie_downloads_pub_thesisExtGEwithAGs-CRC.pdf http://ncra.ucd.ie/downloads/pub/thesisExtGEwithAGs-CRC.pdf
cleary:2005:AAGDFR0MKP An Attribute Grammar Decoder for the 01 MultiConstrained Knapsack Problem
RobertCleary.html
MichaelO'Neill.html
http___dx.doi.org_10.1007_978-3-540-31996-2_4 http://dx.doi.org/10.1007/978-3-540-31996-2_4
1277276 A new crossover technique for Cartesian genetic programming
JanetClegg.html
JamesAlfredWalker.html
JulianFMiller.html
http___gpbib.cs.ucl.ac.uk_gecco2007_docs_p1580.pdf http://gpbib.cs.ucl.ac.uk/gecco2007/docs/p1580.pdf
http___dx.doi.org_10.1145_1276958.1277276 http://dx.doi.org/10.1145/1276958.1277276
Clegg:2008:gecco Combining cartesian genetic programming with an estimation of distribution algorithm
JanetClegg.html
http___gpbib.cs.ucl.ac.uk_gecco2008_docs_p1333.pdf http://gpbib.cs.ucl.ac.uk/gecco2008/docs/p1333.pdf
http___dx.doi.org_10.1145_1389095.1389350 http://dx.doi.org/10.1145/1389095.1389350
conf/evoW/CleggS08 Analogue Circuit Control through Gene Expression
KesterClegg.html
SusanStepney.html
http___dx.doi.org_10.1007_978-3-540-78761-7_16 http://dx.doi.org/10.1007/978-3-540-78761-7_16
Clegg:thesis Evolving gene expression to reconfigure analogue devices
KesterClegg.html
http___www-users.cs.york.ac.uk_susan_teach_theses_clegg.htm http://www-users.cs.york.ac.uk/susan/teach/theses/clegg.htm
http___www.cs.york.ac.uk_ftpdir_reports_2008_YCST_05_YCST-2008-05.pdf http://www.cs.york.ac.uk/ftpdir/reports/2008/YCST/05/YCST-2008-05.pdf
https___ethos.bl.uk_OrderDetails.do_uin_uk.bl.ethos.479503 https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.479503
Clegg:2014:PPSN Travelling Salesman Problem solved 'in materio' by evolved carbon nanotube device
KesterClegg.html
JulianFMiller.html
KieranMassey.html
MikePetty.html
http___dx.doi.org_10.1007_978-3-319-10762-2_68 http://dx.doi.org/10.1007/978-3-319-10762-2_68
Clemens:2018:ieeeAWPL Hybrid Genetic Programming for the Development of Metamaterials Designs With Improved Characteristics
ScottClemens.html
MagdyFIskander.html
ZhengqingYun.html
JenniferTaylorRayno.html
http___dx.doi.org_10.1109_LAWP.2018.2800057 http://dx.doi.org/10.1109/LAWP.2018.2800057
Clemens:2019:Meeting Optimization of Rural Cellular Coverage on the Islands of Hawaii
ScottClemens.html
ZhengqingYun.html
MagdyFIskander.html
http___dx.doi.org_10.1109_APUSNCURSINRSM.2019.8888613 http://dx.doi.org/10.1109/APUSNCURSINRSM.2019.8888613
Clemens:2020:Meeting Genetic Programming for Coplanar Waveguide Continuous Transverse Stub Antenna Array Design
ScottClemens.html
MagdyFIskander.html
ZhengqingYun.html
GuiChao.html
http___dx.doi.org_10.1109_IEEECONF35879.2020.9329544 http://dx.doi.org/10.1109/IEEECONF35879.2020.9329544
Clemens:2022:AP-S Hybrid Genetic Programming Designed Laser-Induced Graphene Based Absorber
ScottClemens.html
EdmondCMChong.html
MagdyFIskander.html
ZhengqingYun.html
JosephJBrown.html
TylerRRay.html
MatthewNakamura.html
DeylenNekoba.html
https___2022apsursi.org_view_paper.php_PaperNum_2459 https://2022apsursi.org/view_paper.php?PaperNum=2459
http___dx.doi.org_10.1109_AP-S_USNC-URSI47032.2022.9887152 http://dx.doi.org/10.1109/AP-S/USNC-URSI47032.2022.9887152
Clemente:evoapps12 Object Recognition with an Optimized Ventral Stream Model Using Genetic Programming
EddieHelbertClementeTorres.html
GustavoOlague.html
LeonDozal.html
MartinMancilla.html
http___dx.doi.org_10.1007_978-3-642-29178-4_32 http://dx.doi.org/10.1007/978-3-642-29178-4_32
Clemente:2013:GECCO Self-adjusting focus of attention by means of GP for improving a laser point detection system
EddieHelbertClementeTorres.html
FranciscoChavezdelaO.html
LeonDozal.html
FranciscoFernandezdeVega.html
GustavoOlague.html
http___dx.doi.org_10.1145_2463372.2463530 http://dx.doi.org/10.1145/2463372.2463530
Clemente:2015:ASC Self-adjusting focus of attention in combination with a genetic fuzzy system for improving a laser environment control device system
EddieHelbertClementeTorres.html
FranciscoChavezdelaO.html
FranciscoFernandezdeVega.html
GustavoOlague.html
http___dx.doi.org_10.1016_j.asoc.2015.03.011 http://dx.doi.org/10.1016/j.asoc.2015.03.011
http___www.sciencedirect.com_science_article_pii_S1568494615001647 http://www.sciencedirect.com/science/article/pii/S1568494615001647
Clemente:2018:JIRS Adaptive Behaviors in Autonomous Navigation with Collision Avoidance and Bounded Velocity of an Omnidirectional Mobile Robot: A Control Theory with Genetic Programming Approach
EddieHelbertClementeTorres.html
MarlenMeza-Sanchez.html
EusebioBugarinCarlos.html
AnaYaveniAguilar-Bustos.html
http___dx.doi.org_10.1007_s10846-017-0751-y http://dx.doi.org/10.1007/s10846-017-0751-y
clergue:2002:gecco Fitness Distance Correlation And Problem Difficulty For Genetic Programming
ManuelClergue.html
PhilippeCollard.html
MarcoTomassini.html
LeonardoVanneschi.html
http___gpbib.cs.ucl.ac.uk_gecco2002_GP072.ps http://gpbib.cs.ucl.ac.uk/gecco2002/GP072.ps
http___gpbib.cs.ucl.ac.uk_gecco2002_GP072.pdf http://gpbib.cs.ucl.ac.uk/gecco2002/GP072.pdf
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_gecco2002_gecco-2002-14.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/gecco2002/gecco-2002-14.pdf
coates:1997:GPx3dw The use of Genetic programing in Exploring 3D Design Worlds
TBroughton.html
ATan.html
PaulSCoates.html
https___repository.uel.ac.uk_item_86q5y https://repository.uel.ac.uk/item/86q5y
http___roar.uel.ac.uk_jspui_bitstream_10552_854_1_Broughton_2c_20T_20_281997_29_20CAAD_20Futures_20pp._20885.pdf http://roar.uel.ac.uk/jspui/bitstream/10552/854/1/Broughton%2c%20T%20%281997%29%20CAAD%20Futures%20pp.%20885.pdf
Coates:1999:AISBces Genetic Programming and Spatial Morphogenesis
PaulSCoates.html
DimitriosCMakris.html
http___www.aisb.org.uk_publications_proceedings_proc1999_aisb1999_AISB99_Evolutionary.pdf http://www.aisb.org.uk/publications/proceedings/proc1999/aisb1999/AISB99_Evolutionary.pdf
https___repository.uel.ac.uk_item_86q31 https://repository.uel.ac.uk/item/86q31
Coates:2010:PA Programming.Architecture
PaulSCoates.html
http___www.routledge.com_books_details_9780415451888_ http://www.routledge.com/books/details/9780415451888/
conf/iberamia/CobosMMLH12 Fitness Function Obtained from a Genetic Programming Approach for Web Document Clustering Using Evolutionary Algorithms
CarlosAlbertoCobosLozada.html
LeydyCarolinaMunoz.html
MarthaElianaMendozaBecerra.html
ElizabethLeonGuzman.html
EnriqueHerreraViedma.html
http___dx.doi.org_10.1007_978-3-642-34654-5 http://dx.doi.org/10.1007/978-3-642-34654-5
http___dx.doi.org_10.1007_978-3-642-34654-5_19 http://dx.doi.org/10.1007/978-3-642-34654-5_19
Cochran:2015:POPL Program Boosting: Program Synthesis via Crowd-Sourcing
RobertACochran.html
LorisD'Antoni.html
BenjaminLivshits.html
DavidMolnar.html
MargusVeanes.html
https___www.cs.unc.edu__rac_pdf_POPL15.pdf https://www.cs.unc.edu/~rac/pdf/POPL15.pdf
http___doi.acm.org_10.1145_2676726.2676973 http://doi.acm.org/10.1145/2676726.2676973
http___dx.doi.org_10.1145_2676726.2676973 http://dx.doi.org/10.1145/2676726.2676973
DBLP:journals/corr/abs-1211-5098 Scaling Genetic Programming for Source Code Modification
BrendanCody-Kenny.html
StephenBarrett.html
http___arxiv.org_abs_1211.5098 http://arxiv.org/abs/1211.5098
Cody-Kenny:2013:GECCOcomp Self-focusing genetic programming for software optimisation
BrendanCody-Kenny.html
StephenBarrett.html
http___dx.doi.org_10.1145_2464576.2464681 http://dx.doi.org/10.1145/2464576.2464681
Cody-Kenny:2013:SSBSE The Emergence of Useful Bias in Self-focusing Genetic Programming for Software Optimisation
BrendanCody-Kenny.html
StephenBarrett.html
http___dx.doi.org_10.1007_978-3-642-39742-4_29 http://dx.doi.org/10.1007/978-3-642-39742-4_29
BCK-thesis Genetic Programming Bias with Software Performance Analysis
BrendanCody-Kenny.html
http___www.tara.tcd.ie_bitstream_handle_2262_76251_BCK.thesis.april.2016_5b1_5d.pdf http://www.tara.tcd.ie/bitstream/handle/2262/76251/BCK.thesis.april.2016%5b1%5d.pdf
http___www.tara.tcd.ie_handle_2262_76251 http://www.tara.tcd.ie/handle/2262/76251
Cody-Kenny:2015:gi locoGP: Improving Performance by Genetic Programming Java Source Code
BrendanCody-Kenny.html
EdgarGalvanLopez.html
StephenBarrett.html
http___gpbib.cs.ucl.ac.uk_gi2015_locoGP_improving_performance_by_genetic_programming_java_source_code.pdf http://gpbib.cs.ucl.ac.uk/gi2015/locoGP_improving_performance_by_genetic_programming_java_source_code.pdf
http___doi.acm.org_10.1145_2739482.2768419 http://doi.acm.org/10.1145/2739482.2768419
http___dx.doi.org_10.1145_2739482.2768419 http://dx.doi.org/10.1145/2739482.2768419
http___gpbib.cs.ucl.ac.uk_gi2015_gi_2015_slides_cody-kenny_locoGP-publication-slides.pdf http://gpbib.cs.ucl.ac.uk/gi2015/gi_2015_slides/cody-kenny/locoGP-publication-slides.pdf
https___github.com_codykenb_locoGP_ https://github.com/codykenb/locoGP/
Cody-Kenny:2017:GI From Problem Landscapes to Language Landscapes: Questions in Genetic Improvement
BrendanCody-Kenny.html
MichaelFenton.html
MichaelO'Neill.html
http___geneticimprovementofsoftware.com_wp-content_uploads_2017_05_codykenny2017_landscape_questions.pdf http://geneticimprovementofsoftware.com/wp-content/uploads/2017/05/codykenny2017_landscape_questions.pdf
http___dx.doi.org_10.1145_3067695.3082522 http://dx.doi.org/10.1145/3067695.3082522
Cody-Kenny:2017:GECCOa A Search for Improved Performance in Regular Expressions
BrendanCody-Kenny.html
MichaelFenton.html
AdrianRonayne.html
EoghanConsidine.html
ThomasMcGuire.html
MichaelO'Neill.html
http___doi.acm.org_10.1145_3071178.3071196 http://doi.acm.org/10.1145/3071178.3071196
http___dx.doi.org_10.1145_3071178.3071196 http://dx.doi.org/10.1145/3071178.3071196
Cody-Kenny:2017:sigevolution Genetic Improvement Workshop at GECCO 2017
BrendanCody-Kenny.html
http___www.sigevolution.org_issues_SIGEVOlution1003.pdf http://www.sigevolution.org/issues/SIGEVOlution1003.pdf
http___dx.doi.org_10.1145_3231560.3231562 http://dx.doi.org/10.1145/3231560.3231562
Cody-Kenny:2018:evoApplications Investigating the Evolvability of Web Page Load Time
BrendanCody-Kenny.html
UmbertoManganiello.html
JohnFarrelly.html
AdrianRonayne.html
EoghanConsidine.html
ThomasMcGuire.html
MichaelO'Neill.html
https___arxiv.org_pdf_1803.01683 https://arxiv.org/pdf/1803.01683
http___dx.doi.org_10.1007_978-3-319-77538-8_51 http://dx.doi.org/10.1007/978-3-319-77538-8_51
Cody-Kenny:2018:GI Performance Localisation
BrendanCody-Kenny.html
MichaelO'Neill.html
StephenBarrett.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_icse2018_gi2018_papers_Cody-Kenny_2018_GI.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/icse2018/gi2018/papers/Cody-Kenny_2018_GI.pdf
http___dx.doi.org_10.1145_3194810.3194815 http://dx.doi.org/10.1145/3194810.3194815
Coelho2010494 Inducing multi-objective clustering ensembles with genetic programming
AndreLuisVasconcelosCoelho.html
EverlandioReboucasQueirozFernandes.html
KattiFaceli.html
http___dx.doi.org_10.1016_j.neucom.2010.09.014 http://dx.doi.org/10.1016/j.neucom.2010.09.014
http___www.sciencedirect.com_science_article_B6V10-517YN4X-P_2_7322b78e25061d5ecbaa12f058216cd0 http://www.sciencedirect.com/science/article/B6V10-517YN4X-P/2/7322b78e25061d5ecbaa12f058216cd0
Coelho2011 Multi-objective design of hierarchical consensus functions for clustering ensembles via genetic programming
AndreLuisVasconcelosCoelho.html
EverlandioReboucasQueirozFernandes.html
KattiFaceli.html
http___dx.doi.org_10.1016_j.dss.2011.01.014 http://dx.doi.org/10.1016/j.dss.2011.01.014
Coelho:2009:ICCI Classifier ensemble based analysis of a genome-wide SNP dataset concerning Late-Onset Alzheimer Disease
LuciodeSouzaCoelho.html
BenGoertzel.html
CassioPennachin.html
ChristopherBHeward.html
http___dx.doi.org_10.1109_COGINF.2009.5250695 http://dx.doi.org/10.1109/COGINF.2009.5250695
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TimCofala.html
LarsElend.html
OliverKramer.html
https___www.esann.org_sites_default_files_proceedings_2020_ES2020-204.pdf https://www.esann.org/sites/default/files/proceedings/2020/ES2020-204.pdf
https___dblp.org_rec_conf_esann_CofalaEK20.bib https://dblp.org/rec/conf/esann/CofalaEK20.bib
Cohen:2014:GECCOcomp CityBreeder: city design with evolutionary computation
AdamCohen.html
TonyWhite.html
http___doi.acm.org_10.1145_2598394.2598495 http://doi.acm.org/10.1145/2598394.2598495
http___dx.doi.org_10.1145_2598394.2598495 http://dx.doi.org/10.1145/2598394.2598495
Cohen:2015:ieeeTPAMI Normalized Compression Distance of Multisets with Applications
AndrewRCohen.html
PaulMBVitanyi.html
http___dx.doi.org_10.1109_TPAMI.2014.2375175 http://dx.doi.org/10.1109/TPAMI.2014.2375175
Cohen:2023:CDC Dynamic System Identification from Scarce and Noisy Data Using Symbolic Regression
BenjaminCohen.html
BurcuBeykal.html
GeorgeMBollas.html
http___dx.doi.org_10.1109_CDC49753.2023.10383906 http://dx.doi.org/10.1109/CDC49753.2023.10383906
Cohen:2023:GI It’s all in the Semantics: When are Genetically Improved Programs Still Correct?
MyraBCohen.html
http___gpbib.cs.ucl.ac.uk_gi2023_keynote_2023_gi.pdf http://gpbib.cs.ucl.ac.uk/gi2023/keynote_2023_gi.pdf
http___dx.doi.org_10.1109_GI59320.2023.00008 http://dx.doi.org/10.1109/GI59320.2023.00008
https___www.youtube.com_watch_v_Mo3HiZr4kJQ_list_PLI8fiFpB7BoJLh6cUpGBjyeB1hM9DET1V_index_1 https://www.youtube.com/watch?v=Mo3HiZr4kJQ&list=PLI8fiFpB7BoJLh6cUpGBjyeB1hM9DET1V&index=1
Coia:mastersthesis Automatic Evolution of Conceptual Building Architectures
CorradoCoia.html
http___hdl.handle.net_10464_3961 http://hdl.handle.net/10464/3961
https___dr.library.brocku.ca_bitstream_handle_10464_3961_Brock_Coia_Corrado_2011.pdf https://dr.library.brocku.ca/bitstream/handle/10464/3961/Brock_Coia_Corrado_2011.pdf
Coia:2011:AEoCBA Automatic Evolution of Conceptual Building Architectures
CorradoCoia.html
BrianJRoss.html
http___dx.doi.org_10.1109_CEC.2011.5949745 http://dx.doi.org/10.1109/CEC.2011.5949745
conf/arc/CoimbraL16 Design and Optimization of Digital Circuits by Artificial Evolution Using Hybrid Multi Chromosome Cartesian Genetic Programming
VitorCoimbra.html
MarcusViniciusLamar.html
http___dx.doi.org_10.1007_978-3-319-30481-6 http://dx.doi.org/10.1007/978-3-319-30481-6
Cojbasic:2016:PE Surface roughness prediction by extreme learning machine constructed with abrasive water jet
ZarkoCojbasic.html
DaliborPetkovic.html
ShahaboddinShamshirband.html
ChongWenTong.html
SudheerCh.html
PredragJankovic.html
NedeljkoDucic.html
JelenaBaralic.html
http___dx.doi.org_10.1016_j.precisioneng.2015.06.013 http://dx.doi.org/10.1016/j.precisioneng.2015.06.013
http___www.sciencedirect.com_science_article_pii_S0141635915001154 http://www.sciencedirect.com/science/article/pii/S0141635915001154
Coker:SEAMS:2015 SASS: Self-adaptation using stochastic search
ZackCoker.html
DavidGarlan.html
ClaireLeGoues.html
https___www.cs.cmu.edu__clegoues_docs_seams15-position.pdf https://www.cs.cmu.edu/~clegoues/docs/seams15-position.pdf
http___dx.doi.org_10.1109_SEAMS.2015.16 http://dx.doi.org/10.1109/SEAMS.2015.16
Colak2007657 Milling surface roughness prediction using evolutionary programming methods
OguzColak.html
CahitKurbanoglu.html
MehmetCengizKayacan.html
http___dx.doi.org_10.1016_j.matdes.2005.07.004 http://dx.doi.org/10.1016/j.matdes.2005.07.004
http___www.sciencedirect.com_science_article_B6TX5-4GYNXVH-3_2_9f33fbb56f37b01600d2773bc207696f http://www.sciencedirect.com/science/article/B6TX5-4GYNXVH-3/2/9f33fbb56f37b01600d2773bc207696f
Colbourn2011366 Modelling formulations using gene expression programming - A comparative analysis with artificial neural networks
EAColbourn.html
SJRoskilly.html
RaymondCRowe.html
PeterYork.html
http___dx.doi.org_10.1016_j.ejps.2011.08.021 http://dx.doi.org/10.1016/j.ejps.2011.08.021
http___www.sciencedirect.com_science_article_pii_S0928098711002958 http://www.sciencedirect.com/science/article/pii/S0928098711002958
DBLP:conf/itng/Coleman06 Boosting Blackjack Returns with Machine Learned Betting Criteria
RonColeman.html
http___dx.doi.org_10.1109_ITNG.2006.40 http://dx.doi.org/10.1109/ITNG.2006.40
Coletti:2020:GECCOcomp Library for Evolutionary Algorithms in Python (LEAP)
MarkAColetti.html
EricOScott.html
JeffreyKBassett.html
https___doi.org_10.1145_3377929.3398147 https://doi.org/10.1145/3377929.3398147
http___dx.doi.org_10.1145_3377929.3398147 http://dx.doi.org/10.1145/3377929.3398147
colin:1997:DMGP Data-Mining and Genetic Programming
AndreColin.html
http___www.pcai.com_web_issues_pcai_11_5_toc.html http://www.pcai.com/web/issues/pcai_11_5_toc.html
Colins:2017:pone Mathematical Modeling of Intestinal Iron Absorption Using Genetic Programming
AndreaJustinaColinsRodriguez.html
ZiomaraPGerdtzen.html
MarcoTulioNu_ezGonzalez.html
JCristianSalgadoHerrera.html
http___dx.doi.org_10.1371_journal.pone.0169601 http://dx.doi.org/10.1371/journal.pone.0169601
oai:arXiv.org:1504.05811 Learning of Behavior Trees for Autonomous Agents
MicheleColledanchise.html
RamviyasNattanmaiParasuraman.html
PetterOegren.html
http___arxiv.org_abs_1504.05811 http://arxiv.org/abs/1504.05811
Colledanchise:2018:ieeeTOG Learning of Behavior Trees for Autonomous Agents
MicheleColledanchise.html
RamviyasNattanmaiParasuraman.html
PetterOgren.html
http___dx.doi.org_10.1109_TG.2018.2816806 http://dx.doi.org/10.1109/TG.2018.2816806
collet:1999:IGAVRCP Individual GP: an Alternative Viewpoint for the Resolution of Complex Problems
PierreCollet.html
EvelyneLutton.html
FredericRaynal.html
MarcSchoenauer.html
http___minimum.inria.fr_evo-lab_Publications_GP-467.ps.gz http://minimum.inria.fr/evo-lab/Publications/GP-467.ps.gz
http___gpbib.cs.ucl.ac.uk_gecco1999_GP-467.pdf http://gpbib.cs.ucl.ac.uk/gecco1999/GP-467.pdf
http___gpbib.cs.ucl.ac.uk_gecco1999_GP-467.ps http://gpbib.cs.ucl.ac.uk/gecco1999/GP-467.ps
collet:1999:RR-3849 Polar IFS + Individual Genetic Programming = Efficient IFS Inverse Problem Solving
PierreCollet.html
EvelyneLutton.html
FredericRaynal.html
MarcSchoenauer.html
http___minimum.inria.fr_evo-lab_Publications_RR-PolarIFS.ps.gz http://minimum.inria.fr/evo-lab/Publications/RR-PolarIFS.ps.gz
ColletPPSN2000 Take it EASEA
PierreCollet.html
EvelyneLutton.html
MarcSchoenauer.html
JeanLouchet.html
http___minimum.inria.fr_evo-lab_Publications_PPSNVI.ps.gz http://minimum.inria.fr/evo-lab/Publications/PPSNVI.ps.gz
collet:2000:IFSpGP Polar IFS+Parisian Genetic Programming=Efficient IFS Inverse Problem Solving
PierreCollet.html
EvelyneLutton.html
FredericRaynal.html
MarcSchoenauer.html
http___minimum.inria.fr_evo-lab_Publications_PolarIFS-GPEM-New.ps.gz http://minimum.inria.fr/evo-lab/Publications/PolarIFS-GPEM-New.ps.gz
http___www.lri.fr__marc_EEAAX_papers_marc_gpem2000.ps.gz http://www.lri.fr/~marc/EEAAX/papers/marc/gpem2000.ps.gz
http___dx.doi.org_10.1023_A_1010065123132 http://dx.doi.org/10.1023/A:1010065123132
http___citeseer.ist.psu.edu_374242.html http://citeseer.ist.psu.edu/374242.html
collet:2001:RR4421 EASEA : un langage de specification pour les algorithmes evolutionnaires
PierreCollet.html
MarcSchoenauer.html
EvelyneLutton.html
JeanLouchet.html
ftp___ftp.inria.fr_INRIA_publication_publi-pdf_RR_RR-4218.pdf ftp://ftp.inria.fr/INRIA/publication/publi-pdf/RR/RR-4218.pdf
https___hal.inria.fr_inria-00000849 https://hal.inria.fr/inria-00000849
https___hal.inria.fr_inria-00000849_file_19_RR4218.pdf https://hal.inria.fr/inria-00000849/file/19_RR4218.pdf
Collet:2002:IotOoEAC Issues on the Optimisation of Evolutionary Algorithms Code
PierreCollet.html
JeanLouchet.html
EvelyneLutton.html
http___dx.doi.org_10.1109_CEC.2002.1004397 http://dx.doi.org/10.1109/CEC.2002.1004397
collet:2003:EA GUIDE: Unifying Evolutionary Engines through a Graphical User Interface
PierreCollet.html
MarcSchoenauer.html
http___dx.doi.org_10.1007_b96080 http://dx.doi.org/10.1007/b96080
http___dx.doi.org_10.1007_978-3-540-24621-3_17 http://dx.doi.org/10.1007/978-3-540-24621-3_17
collet:2006:GP Proceedings of the 9th European Conference on Genetic Programming
PierreCollet.html
MarcoTomassini.html
MarcEbner.html
StevenMGustafson.html
AnikoEkart.html
http___dx.doi.org_10.1007_11729976 http://dx.doi.org/10.1007/11729976
collet:2007:nicem Genetic Programming
PierreCollet.html
http___dx.doi.org_10.4018_978-1-59140-984-7.ch005 http://dx.doi.org/10.4018/978-1-59140-984-7.ch005
Collet:2009:GPEM Husbands, Holland, and Wheeler (eds): Review of the book "The Mechanical Mind in History" MIT Press, 2008, ISBN 978-0-262-08377-5
PierreCollet.html
http___dx.doi.org_10.1007_s10710-008-9070-1 http://dx.doi.org/10.1007/s10710-008-9070-1
Collet:2012:GPEM Evolutionary algorithms for data mining
PierreCollet.html
ManLeungWong.html
http___dx.doi.org_10.1007_s10710-011-9156-z http://dx.doi.org/10.1007/s10710-011-9156-z
Collet:2012:GECCOcomp Evolutionary algorithms and genetic programming on graphic processing units (GPU)
PierreCollet.html
SimonHarding.html
http___dx.doi.org_10.1145_2330784.2330933 http://dx.doi.org/10.1145/2330784.2330933
collins:1998:mbiaia Modeling the Behaviour of Interacting Autonomous Intelligent Agents
JohnJamesCollins.html
http___www.csis.ul.ie_staff_jjcollins_gp98.html http://www.csis.ul.ie/staff/jjcollins/gp98.html
collins:2004:nue:mcol Counting Solutions in Reduced Boolean Parity
MarkCCollins.html
http___gpbib.cs.ucl.ac.uk_gecco2004_WNUE001.pdf http://gpbib.cs.ucl.ac.uk/gecco2004/WNUE001.pdf
1068282 Finding needles in haystacks is harder with neutrality
MarkCCollins.html
http___gpbib.cs.ucl.ac.uk_gecco2005_docs_p1613.pdf http://gpbib.cs.ucl.ac.uk/gecco2005/docs/p1613.pdf
http___dx.doi.org_10.1145_1068009.1068282 http://dx.doi.org/10.1145/1068009.1068282
Collins:2006:GPEM Finding needles in haystacks is harder with neutrality
MarkCCollins.html
http___dx.doi.org_10.1007_s10710-006-9001-y http://dx.doi.org/10.1007/s10710-006-9001-y
Collins:2019:NAECON Evolvable Hardware for Security through Diverse Variants
ZacharyCollins.html
BayleyKing.html
RashmiJha.html
DavidKapp.html
AncaRalescu.html
http___dx.doi.org_10.1109_NAECON46414.2019.9058062 http://dx.doi.org/10.1109/NAECON46414.2019.9058062
Colmenar:2010:gecco Improving reliability of embedded systems through dynamic memory manager optimization using grammatical evolution
JManuelColmenar.html
JoseLRisco-Martin.html
DavidAtienzaAlonso.html
OscarGarnica.html
JoseIgnacioHidalgoPerez.html
JLanchares.html
http___dx.doi.org_10.1145_1830483.1830705 http://dx.doi.org/10.1145/1830483.1830705
Colmenar:2011:GECCO Multi-objective optimization of dynamic memory managers using grammatical evolution
JManuelColmenar.html
JoseLRisco-Martin.html
DavidAtienzaAlonso.html
JoseIgnacioHidalgoPerez.html
http___dx.doi.org_10.1145_2001576.2001820 http://dx.doi.org/10.1145/2001576.2001820
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JManuelColmenar.html
AlfredoCuesta-Infante.html
JoseLRisco-Martin.html
JoseIgnacioHidalgoPerez.html
http___dx.doi.org_10.1145_2464576.2464645 http://dx.doi.org/10.1145/2464576.2464645
conf/evoW/ColmenarHLGRCSV16 Compilable Phenotypes: Speeding-Up the Evaluation of Glucose Models in Grammatical Evolution
JManuelColmenar.html
JoseIgnacioHidalgoPerez.html
JLanchares.html
OscarGarnica.html
JoseLRisco-Martin.html
IvanContreras.html
AlmudenaSanchez.html
JoseManuelVelascoCabo.html
http___dx.doi.org_10.1007_978-3-319-31153-1_9 http://dx.doi.org/10.1007/978-3-319-31153-1_9
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JManuelColmenar.html
StephanMWinkler.html
GabrielKronberger.html
EstherMaqueda.html
MartaBotella-Serrano.html
JoseIgnacioHidalgoPerez.html
http___dx.doi.org_10.1145_2908961.2931734 http://dx.doi.org/10.1145/2908961.2931734
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JManuelColmenar.html
JoseIgnacioHidalgoPerez.html
SanchoSalcedo-Sanz.html
http___dx.doi.org_10.1016_j.energy.2018.08.199 http://dx.doi.org/10.1016/j.energy.2018.08.199
http___www.sciencedirect.com_science_article_pii_S0360544218317353 http://www.sciencedirect.com/science/article/pii/S0360544218317353
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JManuelColmenar.html
RaulMartin-Santamaria.html
JoseIgnacioHidalgoPerez.html
http___dx.doi.org_10.1007_978-3-031-02462-7_18 http://dx.doi.org/10.1007/978-3-031-02462-7_18
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SimonColton.html
CameronBrowne.html
http___dx.doi.org_10.1007_978-3-642-01129-0_32 http://dx.doi.org/10.1007/978-3-642-01129-0_32
Comellas:1998:GPD Genetic Programming to Design Communication Algorithms for Parallel Architectures
FrancescComellas.html
GGimenez.html
http___www-mat.upc.es__comellas_genprog_genprog_f.pdf http://www-mat.upc.es/~comellas/genprog/genprog_f.pdf
http___citeseer.ist.psu.edu_cache_papers_cs_173_http_zSzzSzwww-mat.upc.eszSz_comellaszSzgenprogzSzgenprog_f.pdf_comellas98genetic.pdf http://citeseer.ist.psu.edu/cache/papers/cs/173/http:zSzzSzwww-mat.upc.eszSz~comellaszSzgenprogzSzgenprog_f.pdf/comellas98genetic.pdf
http___citeseer.ist.psu.edu_comellas98genetic.html http://citeseer.ist.psu.edu/comellas98genetic.html
http___dx.doi.org_10.1142_S0129626498000547 http://dx.doi.org/10.1142/S0129626498000547
https___mat-web.upc.edu_people_francesc.comellas_old-files_genprog_genprog.html https://mat-web.upc.edu/people/francesc.comellas/old-files/genprog/genprog.html
comellas:evows04 Using Genetic Programming to Design Broadcasting Algorithms for Manhattan Street Networks
FrancescComellas.html
CristinaDalfoSimo.html
http___dx.doi.org_10.1007_978-3-540-24653-4_18 http://dx.doi.org/10.1007/978-3-540-24653-4_18
Comellas:2005:PDCN Optimal Broadcasting in 2-Dimensional Manhattan Street Networks
FrancescComellas.html
CristinaDalfoSimo.html
http___www.actapress.com_Abstract.aspx_paperId_19188 http://www.actapress.com/Abstract.aspx?paperId=19188
http___www.actapress.com_Content_of_Proceeding.aspx_proceedingID_287 http://www.actapress.com/Content_of_Proceeding.aspx?proceedingID=287
https___pdfs.semanticscholar.org_67cf_692b7fe9ccd29d9932709d3d51ebd833c2b4.pdf https://pdfs.semanticscholar.org/67cf/692b7fe9ccd29d9932709d3d51ebd833c2b4.pdf
Comte:2009:CIGPU Design \& Implementation of Parallel Linear GP for the IBM Cell Processor
PascalComte.html
http___dx.doi.org_10.1145_1569901.1596274 http://dx.doi.org/10.1145/1569901.1596274
ga95aCona:1995:dGPs Developing a Genetic Programming System
JohnCona.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_ga95aCona_1995_dGPs.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/ga95aCona_1995_dGPs.pdf
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PieroConca.html
GiuseppeNicosia.html
GiovanniStracquadanio.html
JonTimmis.html
http___dx.doi.org_10.1109_AHS.2009.32 http://dx.doi.org/10.1109/AHS.2009.32
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RonnieSConcepcionII.html
ElmerJosePDadios.html
JoyNCarpio.html
ArgelABandala.html
EdwinSybingco.html
http___dx.doi.org_10.1109_HNICEM51456.2020.9400156 http://dx.doi.org/10.1109/HNICEM51456.2020.9400156
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JustinDeGuia.html
ElmerJosePDadios.html
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http___dx.doi.org_10.1109_R10-HTC49770.2020.9357030 http://dx.doi.org/10.1109/R10-HTC49770.2020.9357030
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http___dx.doi.org_10.1016_j.inpa.2021.12.007 http://dx.doi.org/10.1016/j.inpa.2021.12.007
https___www.sciencedirect.com_science_article_pii_S2214317321000998 https://www.sciencedirect.com/science/article/pii/S2214317321000998
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http___dx.doi.org_10.1109_IMCOM56909.2023.10035574 http://dx.doi.org/10.1109/IMCOM56909.2023.10035574
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MariaGemelBPalconit.html
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http___dx.doi.org_10.1016_j.inpa.2023.02.002 http://dx.doi.org/10.1016/j.inpa.2023.02.002
https___www.sciencedirect.com_science_article_pii_S2214317323000124 https://www.sciencedirect.com/science/article/pii/S2214317323000124
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RonnieSConcepcionII.html
AdrianGenevieGalemaJanairo.html
RaneielAngeloMartinez.html
R-JayRelano.html
MarieletGuillermo.html
ArgelABandala.html
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http___dx.doi.org_10.1109_ICBIR57571.2023.10147624 http://dx.doi.org/10.1109/ICBIR57571.2023.10147624
congdon:2000:GA Gaphyl: A genetic algorithm approach to cladistics
ClareBatesCongdon.html
EmilyFGreenfest.html
http___www.cs.colby.edu__congdon_Publications_gaphyl-gecco00.ps http://www.cs.colby.edu/~congdon/Publications/gaphyl-gecco00.ps
http___citeseer.ist.psu.edu_426598.html http://citeseer.ist.psu.edu/426598.html
congdon:2003:ptuesipiegtwwgd Phylogenetic trees using evolutionary search: Initial progress in extending gaphyl to work with genetic data
ClareBatesCongdon.html
KevinJSeptor.html
http___dx.doi.org_10.1109_CEC.2003.1299592 http://dx.doi.org/10.1109/CEC.2003.1299592
Connolly:2004:drdobbs SQL, Data Mining, \& Genetic Programming
BrianConnolly.html
https___www.drdobbs.com_database_sql-data-mining-genetic-programming_184405616 https://www.drdobbs.com/database/sql-data-mining-genetic-programming/184405616
Connolly:2004:MSDN Genetic Algorithms Survival of the Fittest: Natural Selection with Windows Forms
BrianConnolly.html
http___msdn.microsoft.com_en-gb_magazine_cc163934.aspx http://msdn.microsoft.com/en-gb/magazine/cc163934.aspx
http___download.microsoft.com_download_3_a_7_3a7fa450-1f33-41f7-9e6d-3aa95b5a6aea_MSDNMagazineAugust2004en-us.chm http://download.microsoft.com/download/3/a/7/3a7fa450-1f33-41f7-9e6d-3aa95b5a6aea/MSDNMagazineAugust2004en-us.chm
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_Connolly_2004_MSDN.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/Connolly_2004_MSDN.pdf
Connor:2019:CEC Optimising Team Sport Training Plans With Grammatical Evolution
MarkConnor.html
DavidFagan.html
MichaelO'Neill.html
http___dx.doi.org_10.1109_CEC.2019.8790369 http://dx.doi.org/10.1109/CEC.2019.8790369
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MichaelConrad.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_Con88.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/Con88.pdf
https___dl.acm.org_citation.cfm_id_57260 https://dl.acm.org/citation.cfm?id=57260
http___dx.doi.org_10.1093_oso_9780198537748.003.0011 http://dx.doi.org/10.1093/oso/9780198537748.003.0011
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MarkusConrads.html
PeterNordin.html
WolfgangBanzhaf.html
http___dx.doi.org_10.1007_BFb0055932 http://dx.doi.org/10.1007/BFb0055932
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SergioContador.html
JoseIgnacioHidalgoPerez.html
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JoseManuelVelascoCabo.html
JLanchares.html
http___dx.doi.org_10.1145_3319619.3326809 http://dx.doi.org/10.1145/3319619.3326809
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SergioContador.html
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http___dx.doi.org_10.1145_3341105.3374003 http://dx.doi.org/10.1145/3341105.3374003
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SergioContador.html
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OscarGarnica.html
JoseIgnacioHidalgoPerez.html
https___www.youtube.com_watch_v_OyNQC5Drbx4 https://www.youtube.com/watch?v=OyNQC5Drbx4
http___dx.doi.org_10.1007_978-3-030-43722-0_32 http://dx.doi.org/10.1007/978-3-030-43722-0_32
CONTADOR:2021:ASC Glucose forecasting using genetic programming and latent glucose variability features
SergioContador.html
JoseManuelVelascoCabo.html
OscarGarnica.html
JoseIgnacioHidalgoPerez.html
http___dx.doi.org_10.1016_j.asoc.2021.107609 http://dx.doi.org/10.1016/j.asoc.2021.107609
https___www.sciencedirect.com_science_article_pii_S1568494621005305 https://www.sciencedirect.com/science/article/pii/S1568494621005305
Contador:2022:GPEM Blood glucose prediction using multi-objective grammatical evolution: analysis of the ``agnostic'' and ``what-if'' scenarios
SergioContador.html
JManuelColmenar.html
OscarGarnica.html
JoseManuelVelascoCabo.html
JoseIgnacioHidalgoPerez.html
https___rdcu.be_cBKAs https://rdcu.be/cBKAs
http___dx.doi.org_10.1007_s10710-021-09424-6 http://dx.doi.org/10.1007/s10710-021-09424-6
Contreras:evoapps13 Combining Technical Analysis and Grammatical Evolution in a Trading System
IvanContreras.html
JoseIgnacioHidalgoPerez.html
LauraNunez-Letamendia.html
http___dx.doi.org_10.1007_978-3-642-37192-9_25 http://dx.doi.org/10.1007/978-3-642-37192-9_25
journals/jifs/ContrerasHN17 A hybrid automated trading system based on multi-objective grammatical evolution
IvanContreras.html
JoseIgnacioHidalgoPerez.html
LauraNunez-Letamendia.html
http___dx.doi.org_10.3233_JIFS-16435 http://dx.doi.org/10.3233/JIFS-16435
Contreras:2018:KDH Using Grammatical Evolution to Generate Short-term Blood Glucose Prediction Models
IvanContreras.html
ArthurBertachi.html
LyviaBiagi.html
JosepVehi.html
SilviaOviedoCastillo.html
http___ceur-ws.org_Vol-2148_paper15.pdf http://ceur-ws.org/Vol-2148/paper15.pdf
Contreras-Bolton:2015:LA-CCI Automatic design of algorithms for optimization problems
CarlosContreras-Bolton.html
VictorParada.html
http___dx.doi.org_10.1109_LA-CCI.2015.7435977 http://dx.doi.org/10.1109/LA-CCI.2015.7435977
Contreras-Cruz:GPEM A genetic programming framework in the automatic design of combination models for salient object detection
MarcoAntonioContrerasCruz.html
DianaEMartinez-Rodriguez.html
UrielHaileHernandezBelmonte.html
VictorAyala-Ramirez.html
http___dx.doi.org_10.1007_s10710-019-09345-5 http://dx.doi.org/10.1007/s10710-019-09345-5
Cook:2008:DAC Predictive design space exploration using genetically programmed response surfaces
HenryMCook.html
KevinSkadron.html
http___www.cs.virginia.edu__skadron_Papers_gprs_dac08.pdf http://www.cs.virginia.edu/~skadron/Papers/gprs_dac08.pdf
http___dx.doi.org_10.1145_1391469.1391711 http://dx.doi.org/10.1145/1391469.1391711
Cook:2021:CACM Behold the Ch!Ld
PerryRCook.html
https___doi.org_10.1145_3453712 https://doi.org/10.1145/3453712
http___dx.doi.org_10.1145_3453712 http://dx.doi.org/10.1145/3453712
coon:1994:csgp Circuit Synthesis through Genetic Programming
BrettWCoon.html
cooper:2002:gecco Comparison Of Evolving Against Peers And Fixed Opponents Using Corewars
JasonCooper.html
ChrisJHinde.html
http___gpbib.cs.ucl.ac.uk_gecco2002_GP082.ps http://gpbib.cs.ucl.ac.uk/gecco2002/GP082.ps
http___gpbib.cs.ucl.ac.uk_gecco2002_GP082.pdf http://gpbib.cs.ucl.ac.uk/gecco2002/GP082.pdf
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_gecco2002_gecco-2002-15.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/gecco2002/gecco-2002-15.pdf
cordella:2005:CEC Genetic Programming for Generating Prototypes in Classification Problems
LuigiPietroCordella.html
ClaudioDeStefano.html
FrancescoRFontanella.html
AngeloMarcelli.html
http___dx.doi.org_10.1109_CEC.2005.1554820 http://dx.doi.org/10.1109/CEC.2005.1554820
conf/iciap/CordellaSFM05 A Novel Genetic Programming Based Approach for Classification Problems
LuigiPietroCordella.html
ClaudioDeStefano.html
FrancescoRFontanella.html
AngeloMarcelli.html
http___dx.doi.org_10.1007_11553595_89 http://dx.doi.org/10.1007/11553595_89
DBLP:conf/iwicpas/CordellaSFM06 Looking for Prototypes by Genetic Programming
LuigiPietroCordella.html
ClaudioDeStefano.html
FrancescoRFontanella.html
AngeloMarcelli.html
http___dx.doi.org_10.1007_11821045_16 http://dx.doi.org/10.1007/11821045_16
cordon:1999:sedpuhedat Solving Electrical Distribution Problems Using Hybrid Evolutionary Data Analysis Techniques
OscarCordon.html
FranciscoHerrera.html
LucianoSanchez.html
ftp___decsai.ugr.es_pub_arai_tech_rep_ga-fl_tr-98106.ps.Z ftp://decsai.ugr.es/pub/arai/tech_rep/ga-fl/tr-98106.ps.Z
DBLP:conf/eusflat/CordonAZ99 Learning Queries for a Fuzzy Information Retrieval System by means of GA-P Techniques
OscarCordon.html
FelixdeMoya.html
CarmenZarcoFernandez.html
http___www.eusflat.org_publications_proceedings_EUSFLAT-ESTYLF_1999_papers_335-cordon.pdf http://www.eusflat.org/publications/proceedings/EUSFLAT-ESTYLF_1999/papers/335-cordon.pdf
Cordon:2000:MSC A GA-P Algorithm to Automatically Formulate Extended Boolean Queries for a Fuzzy Information Retrieval System
OscarCordon.html
FelixdeMoya.html
CarmenZarcoFernandez.html
http___sci2s.ugr.es_sites_default_files_ficherosPublicaciones_0450_MATHWARE_2000_07_02-03_18.pdf http://sci2s.ugr.es/sites/default/files/ficherosPublicaciones/0450_MATHWARE_2000_07_02-03_18.pdf
http___eudml.org_doc_39209 http://eudml.org/doc/39209
Cordon:2002:ISKO An Inductive Query by Example Technique for Extended Boolean Queries Based on Simulated-Annealing Programming
OscarCordon.html
EnriqueHerreraViedma.html
MariaLuqueRodriguez.html
FelixdeMoya.html
CarmenZarcoFernandez.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.163.4687 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.163.4687
http___www.ergon-verlag.de_bibliotheks--informationswissenschaft_advances-in-knowledge-organization_band-8.php http://www.ergon-verlag.de/bibliotheks--informationswissenschaft/advances-in-knowledge-organization/band-8.php
cordon:2002:SC A new evolutionary algorithm combining simulated annealing and genetic programming for relevance feedback in fuzzy information retrieval systems
OscarCordon.html
FelixdeMoya.html
CarmenZarcoFernandez.html
http___dx.doi.org_10.1007_s00500-002-0184-8 http://dx.doi.org/10.1007/s00500-002-0184-8
cordon:ppsn2002:pp710 Evolutionary Learning of Boolean Queries by Multiobjective Genetic Programming
OscarCordon.html
EnriqueHerreraViedma.html
MariaLuqueRodriguez.html
http___dx.doi.org_10.1007_3-540-45712-7_68 http://dx.doi.org/10.1007/3-540-45712-7_68
DBLP:conf/ifsa/CordonHLMZ03 Analyzing the Performance of a Multiobjective GA-P Algorithm for Learning Fuzzy Queries in a Machine Learning Environment
OscarCordon.html
EnriqueHerreraViedma.html
MariaLuqueRodriguez.html
FelixdeMoya.html
CarmenZarcoFernandez.html
http___www.scimago.es_publications_ifsa03-cordon.pdf http://www.scimago.es/publications/ifsa03-cordon.pdf
http___dx.doi.org_10.1007_3-540-44967-1_73 http://dx.doi.org/10.1007/3-540-44967-1_73
cordon:2003:WSC A Realistic Information Retrieval Environment to Validate a Multiobjective GA-P Algorithm for Learning Fuzzy Queries
OscarCordon.html
EnriqueHerreraViedma.html
MariaLuqueRodriguez.html
FelixdeMoya.html
CarmenZarcoFernandez.html
http___dx.doi.org_10.1007_3-540-32400-3_23 http://dx.doi.org/10.1007/3-540-32400-3_23
Cordon:2004:FUZZ-IEEE Fuzzy logic and multiobjective evolutionary algorithms as soft computing tools for persistent query learning in text retrieval environments
OscarCordon.html
FelixdeMoya.html
CarmenZarcoFernandez.html
http___dx.doi.org_10.1109_FUZZY.2004.1375799 http://dx.doi.org/10.1109/FUZZY.2004.1375799
Cordon:2004:fzi Automatic Learning of Multiple Extended Boolean Queries by Multiobjective GA-P Algorithms
OscarCordon.html
FelixdeMoya.html
CarmenZarcoFernandez.html
http___direct.bl.uk_research_18_0E_RN143659018.html http://direct.bl.uk/research/18/0E/RN143659018.html
http___dx.doi.org_10.1007_978-3-540-39988-9_3 http://dx.doi.org/10.1007/978-3-540-39988-9_3
cordon:2005:SCMA A Realistic Information Retrieval Environment to Validate a Multiobjective GA-P Algorithm for Learning Fuzzy Queries
OscarCordon.html
EnriqueHerreraViedma.html
MariaLuqueRodriguez.html
FelixdeMoya.html
CarmenZarcoFernandez.html
http___dx.doi.org_10.1007_3-540-32400-3_23 http://dx.doi.org/10.1007/3-540-32400-3_23
CHL:IPM:06 Improving the learning of Boolean queries by means of a multiobjective IQBE evolutionary algorithm
OscarCordon.html
EnriqueHerreraViedma.html
MariaLuqueRodriguez.html
http___dx.doi.org_10.1016_j.ipm.2005.02.006 http://dx.doi.org/10.1016/j.ipm.2005.02.006
Cordova-Neira:2018:ieeeAccess Data-Fusion Techniques for Open-set Recognition Problems
ManuelAlbertoCordovaNeira.html
PedroRibeiroMendesJunior.html
AndersondeRezendeRocha.html
RicardodaSilvaTorres.html
http___dx.doi.org_10.1109_ACCESS.2018.2824240 http://dx.doi.org/10.1109/ACCESS.2018.2824240
coreyes2021evolving Evolving Reinforcement Learning Algorithms
JohnDCo-Reyes.html
YingjieMiao.html
DaiyiPeng.html
EstebanReal.html
SergeyLevine.html
QuocVLe.html
HonglakLee.html
AleksandraFaust.html
https___arxiv.org_abs_2101.03958 https://arxiv.org/abs/2101.03958
https___slideslive.com_38941399_evolving-reinforcement-learning-algorithms https://slideslive.com/38941399/evolving-reinforcement-learning-algorithms
Corgnati:2014:CVAUI Automated Gelatinous Zooplankton Acquisition and Recognition
LorenzoPaoloCorgnati.html
LucaMazzei.html
SimoneMarini.html
StefanoAliani.html
AlessandraConversi.html
AnnalisaGriffa.html
BrunoMariaIsoppo.html
EnnioOttaviani.html
http___dx.doi.org_10.1109_CVAUI.2014.12 http://dx.doi.org/10.1109/CVAUI.2014.12
s16122124 Looking inside the Ocean: Toward an Autonomous Imaging System for Monitoring Gelatinous Zooplankton
LorenzoPaoloCorgnati.html
SimoneMarini.html
LucaMazzei.html
EnnioOttaviani.html
StefanoAliani.html
AlessandraConversi.html
AnnalisaGriffa.html
http___www.mdpi.com_1424-8220_16_12_2124 http://www.mdpi.com/1424-8220/16/12/2124
http___www.mdpi.com_1424-8220_16_12_2124_pdf http://www.mdpi.com/1424-8220/16/12/2124/pdf
http___dx.doi.org_10.3390_s16122124 http://dx.doi.org/10.3390/s16122124
DBLP:journals/apin/CoricEJ21 Genetic programming hyperheuristic parameter configuration using fitness landscape analysis
RebekaCoric.html
MatejaDHumic.html
DomagojJakobovic.html
https___doi.org_10.1007_s10489-021-02227-3 https://doi.org/10.1007/s10489-021-02227-3
http___dx.doi.org_10.1007_s10489-021-02227-3 http://dx.doi.org/10.1007/s10489-021-02227-3
https___dblp.org_rec_journals_apin_CoricEJ21.bib https://dblp.org/rec/journals/apin/CoricEJ21.bib
Corn:2015:IFAC-PapersOnLine Designing model and control system using evolutionary algorithms
MarkoCorn.html
MajaAtanasijevic-Kunc.html
http___dx.doi.org_10.1016_j.ifacol.2015.05.106 http://dx.doi.org/10.1016/j.ifacol.2015.05.106
http___www.sciencedirect.com_science_article_pii_S240589631500107X http://www.sciencedirect.com/science/article/pii/S240589631500107X
Cornejo:2018:GAMM Optimizing MIMO control for fluidic pinball using machine learning
GuyYoslanCornejoMaceda.html
FrancoisLusseyran.html
BerndRNoack.html
MarekMorzynski.html
https___hal.archives-ouvertes.fr_hal-01856252 https://hal.archives-ouvertes.fr/hal-01856252
Cornejo-Maceda:thesis Gradient-enriched machine learning control exemplified for shear flows in simulations and experiments
GuyYoslanCornejoMaceda.html
https___tel.archives-ouvertes.fr_tel-03217787 https://tel.archives-ouvertes.fr/tel-03217787
https___tel.archives-ouvertes.fr_tel-03217787_document https://tel.archives-ouvertes.fr/tel-03217787/document
https___tel.archives-ouvertes.fr_tel-03217787_file_91918_CORNEJO_MACEDA_2021_archivage.pdf https://tel.archives-ouvertes.fr/tel-03217787/file/91918_CORNEJO_MACEDA_2021_archivage.pdf
https___github.com_gycm134_xMLC https://github.com/gycm134/xMLC
cornejo_maceda_li_lusseyran_morzynski_noack_2021 Stabilization of the fluidic pinball with gradient-enriched machine learning control
GuyYoslanCornejoMaceda.html
YiqingLi.html
FrancoisLusseyran.html
MarekMorzynski.html
BerndRNoack.html
http___dx.doi.org_10.1017_jfm.2021.301 http://dx.doi.org/10.1017/jfm.2021.301
dbbs_mods_00071130 xMLC - A Toolkit for Machine Learning Control
GuyYoslanCornejoMaceda.html
FrancoisLusseyran.html
BerndRNoack.html
https___leopard.tu-braunschweig.de_receive_dbbs_mods_00071130 https://leopard.tu-braunschweig.de/receive/dbbs_mods_00071130
https___leopard.tu-braunschweig.de_servlets_MCRFileNodeServlet_dbbs_derivate_00049782_2022_xMLC_CornejoMaceda.pdf https://leopard.tu-braunschweig.de/servlets/MCRFileNodeServlet/dbbs_derivate_00049782/2022_xMLC_CornejoMaceda.pdf
https___doi.org_10.24355_dbbs.084-202007031022-0 https://doi.org/10.24355/dbbs.084-202007031022-0
http___dx.doi.org_10.24355_dbbs.084-202208220937-0 http://dx.doi.org/10.24355/dbbs.084-202208220937-0
https___github.com_gycm134_xMLC https://github.com/gycm134/xMLC
corney:1999:NSMUGP N-Dimensional Surface Mapping Using Genetic Programming
DavidCorney.html
IanCParmee.html
http___gpbib.cs.ucl.ac.uk_gecco1999_GP-424.pdf http://gpbib.cs.ucl.ac.uk/gecco1999/GP-424.pdf
http___gpbib.cs.ucl.ac.uk_gecco1999_GP-424.ps http://gpbib.cs.ucl.ac.uk/gecco1999/GP-424.ps
http___dcorney.com_papers_gecco_surfaceGP.pdf http://dcorney.com/papers/gecco_surfaceGP.pdf
Cornforth:2012:GECCO Symbolic regression of multiple-time-scale dynamical systems
TheodoreWCornforth.html
HodLipson.html
http___dx.doi.org_10.1145_2330163.2330266 http://dx.doi.org/10.1145/2330163.2330266
Cornforth:2013:GPEM Inference of hidden variables in systems of differential equations with genetic programming
TheodoreWCornforth.html
HodLipson.html
http___dx.doi.org_10.1007_s10710-012-9175-4 http://dx.doi.org/10.1007/s10710-012-9175-4
Cornforth:thesis Data-Driven, Free-Form Modeling Of Biological Systems
TheodoreWCornforth.html
http___hdl.handle.net_1813_36187 http://hdl.handle.net/1813/36187
http___dl.acm.org_citation.cfm_id_2604769 http://dl.acm.org/citation.cfm?id=2604769
cad_iccd98a VEGA: A Verification Tool Based on Genetic Algorithms
FulvioCorno.html
MatteoSonzaReorda.html
GiovanniSquillero.html
http___dx.doi.org_10.1109_ICCD.1998.727069 http://dx.doi.org/10.1109/ICCD.1998.727069
Corno:2001:DATE On the test of microprocessor IP cores
FulvioCorno.html
MatteoSonzaReorda.html
GiovanniSquillero.html
MViolante.html
http___www.date-conference.com_conference_instructions_gl_paper04c_2.pdf http://www.date-conference.com/conference/instructions/gl_paper04c_2.pdf
http___dx.doi.org_10.1109_DATE.2001.915026 http://dx.doi.org/10.1109/DATE.2001.915026
corno:2002:emctpi Efficient Machine-Code Test-Program Induction
FulvioCorno.html
GianlucaCumani.html
MatteoSonzaReorda.html
GiovanniSquillero.html
http___www.cad.polito.it_pap_db_cec2002.pdf http://www.cad.polito.it/pap/db/cec2002.pdf
http___citeseer.ist.psu.edu_502344.html http://citeseer.ist.psu.edu/502344.html
http___dx.doi.org_10.1109_CEC.2002.1004462 http://dx.doi.org/10.1109/CEC.2002.1004462
corno:2002:ATS Evolutionary test program induction for microprocessor design verification
FulvioCorno.html
GianlucaCumani.html
MatteoSonzaReorda.html
GiovanniSquillero.html
http___www.cad.polito.it_pap_db_ats02.pdf http://www.cad.polito.it/pap/db/ats02.pdf
http___citeseer.ist.psu.edu_574157.html http://citeseer.ist.psu.edu/574157.html
http___dx.doi.org_10.1109_ATS.2002.1181739 http://dx.doi.org/10.1109/ATS.2002.1181739
oai:CiteSeerPSU:573140 Automatic Test Program Generation for Pipelined Processors
FulvioCorno.html
GianlucaCumani.html
MatteoSonzaReorda.html
GiovanniSquillero.html
http___www.cad.polito.it_pap_db_sac03.pdf http://www.cad.polito.it/pap/db/sac03.pdf
http___citeseer.ist.psu.edu_573140.html http://citeseer.ist.psu.edu/573140.html
corno:2003:ICES Exploiting Auto-adaptive $\mu$-GP for Highly Effective Test Programs Generation
FulvioCorno.html
FCumani.html
GiovanniSquillero.html
http___dx.doi.org_10.1007_3-540-36553-2_24 http://dx.doi.org/10.1007/3-540-36553-2_24
corno03 An Enhanced Framework for Microprocessor Test-Program Generation
FulvioCorno.html
GiovanniSquillero.html
http___www.cad.polito.it_pap_db_eurogp03.pdf http://www.cad.polito.it/pap/db/eurogp03.pdf
http___dx.doi.org_10.1007_3-540-36599-0_28 http://dx.doi.org/10.1007/3-540-36599-0_28
corno:2004:oteocw On The Evolution of Corewar Warriors
FulvioCorno.html
ErnestoSanchez.html
GiovanniSquillero.html
http___www.cad.polito.it_pap_db_cec2004b.pdf http://www.cad.polito.it/pap/db/cec2004b.pdf
http___dx.doi.org_10.1109_CEC.2004.1330848 http://dx.doi.org/10.1109/CEC.2004.1330848
Corno:2005:ieeeP Automatic test generation for verifying microprocessors
FulvioCorno.html
ErnestoSanchez.html
MatteoSonzaReorda.html
GiovanniSquillero.html
http___dx.doi.org_10.1109_MP.2005.1405800 http://dx.doi.org/10.1109/MP.2005.1405800
Corns:2006:CEC Improving Design Diversity Using Graph Based Evolutionary Algorithms
StevenMCorns.html
DanielAshlock.html
DouglasSMcCorkle.html
KennethMBryden.html
http___dx.doi.org_10.1109_CEC.2006.1688327 http://dx.doi.org/10.1109/CEC.2006.1688327
correa:2022:IS A Grammar-based Genetic Programming Hyper-Heuristic for Corridor Allocation Problem
RafaelFRCorrea.html
HederSoaresBernardino.html
JoaoMdeFreitas.html
StenioSRFSoares.html
LucianaBGoncalves.html
LorenzaLOMoreno.html
http___link.springer.com_chapter_10.1007_978-3-031-21686-2_35 http://link.springer.com/chapter/10.1007/978-3-031-21686-2_35
http___dx.doi.org_10.1007_978-3-031-21686-2_35 http://dx.doi.org/10.1007/978-3-031-21686-2_35
Correia:2020:IPL Combining model finder and genetic programming into a general purpose automatic program synthesizer
AlexandreRobertodeSouzaCorreia.html
JulianoManabuIyoda.html
AlexandreMota.html
http___www.sciencedirect.com_science_article_pii_S0020019019301498 http://www.sciencedirect.com/science/article/pii/S0020019019301498
http___dx.doi.org_10.1016_j.ipl.2019.105866 http://dx.doi.org/10.1016/j.ipl.2019.105866
Correia:2012:GECCOcomp Improving haar cascade classifiers through the synthesis of new training examples
JoaoNunoGoncalvesCostaCavaleiroCorreia.html
PenousalMachado.html
JuanJesusRomeroCardalda.html
http___dx.doi.org_10.1145_2330784.2331001 http://dx.doi.org/10.1145/2330784.2331001
Correia:2014:SMGP Semantic Operators for Evolutionary Art
JoaoNunoGoncalvesCostaCavaleiroCorreia.html
PenousalMachado.html
http___www.cs.put.poznan.pl_kkrawiec_smgp2014_uploads_Site_Correia.pdf http://www.cs.put.poznan.pl/kkrawiec/smgp2014/uploads/Site/Correia.pdf
Correia:2021:evomusart Evolving Image Enhancement Pipelines
JoaoNunoGoncalvesCostaCavaleiroCorreia.html
LeonardoVieira.html
NereidaRodriguez-Fernandez.html
JuanJesusRomeroCardalda.html
PenousalMachado.html
http___dx.doi.org_10.1007_978-3-030-72914-1_6 http://dx.doi.org/10.1007/978-3-030-72914-1_6
correia:2022:AS Towards Automatic Image Enhancement with Genetic Programming and Machine Learning
JoaoNunoGoncalvesCostaCavaleiroCorreia.html
NereidaRodriguez-Fernandez.html
LeonardoVieira.html
JuanJesusRomeroCardalda.html
PenousalMachado.html
https___www.mdpi.com_2076-3417_12_4_2212 https://www.mdpi.com/2076-3417/12/4/2212
http___dx.doi.org_10.3390_app12042212 http://dx.doi.org/10.3390/app12042212
Correia:GPEM Experiments in evolutionary image enhancement with ELAINE
JoaoNunoGoncalvesCostaCavaleiroCorreia.html
DanielLopes.html
LeonardoVieira.html
NereidaRodriguez-Fernandez.html
AdrianCarballalMato.html
JuanJesusRomeroCardalda.html
PenousalMachado.html
https___rdcu.be_cYSxw https://rdcu.be/cYSxw
http___dx.doi.org_10.1007_s10710-022-09445-9 http://dx.doi.org/10.1007/s10710-022-09445-9
Corso:2020:ITSC Interpretable Safety Validation for Autonomous Vehicles
AnthonyCorso.html
MykelJKochenderfer.html
http___dx.doi.org_10.1109_ITSC45102.2020.9294490 http://dx.doi.org/10.1109/ITSC45102.2020.9294490
Cortacero:2023:NatCommun Evolutionary design of explainable algorithms for biomedical image segmentation
KevinCortacero.html
BrienneMcKenzie.html
SabinaMueller.html
RoxanaKhazen.html
FannyLafouresse.html
GaelleCorsaut.html
NathalieVanAcker.html
Francois-XavierFrenois.html
LaurenceLamant.html
NicolasMeyer.html
BeatriceVergier.html
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https___github.com_KevinCortacero_Kartezio https://github.com/KevinCortacero/Kartezio
Cortacero:thesis Programmation Genetique Cartesienne pour la Segmentation d'Images Biomedicales
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Cortes:2024:evoapplications Towards Physical Plausibility in Neuroevolution Systems
GabrielCortes.html
NunoLourenco.html
PenousalMachado.html
https___rdcu.be_dD0vz https://rdcu.be/dD0vz
http___dx.doi.org_10.1007_978-3-031-56855-8_5 http://dx.doi.org/10.1007/978-3-031-56855-8_5
conf/issre/CostaVPS05 Modeling Software Reliability Growth with Genetic Programming
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SilviaReginaVergilio.html
AuroraTrinidadRamirezPozo.html
GustavoAntoniodeSouzaGoll.html
http___dx.doi.org_10.1109_ISSRE.2005.29 http://dx.doi.org/10.1109/ISSRE.2005.29
conf/ictai/CostaPV06 Using Boosting Techniques to Improve Software Reliability Models Based on Genetic Programming
EduardoOliveiraCosta.html
AuroraTrinidadRamirezPozo.html
SilviaReginaVergilio.html
http___dx.doi.org_10.1109_ICTAI.2006.117 http://dx.doi.org/10.1109/ICTAI.2006.117
Costa:2006:ICSMC A New Approach to Genetic Programming based on Evolution Strategies
EduardoOliveiraCosta.html
AuroraTrinidadRamirezPozo.html
http___dx.doi.org_10.1109_ICSMC.2006.385070 http://dx.doi.org/10.1109/ICSMC.2006.385070
Costa:2006:ICTAI A (mu + lambda) - GP Algorithm and its use for Regression Problems
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AuroraTrinidadRamirezPozo.html
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Costa:2007:ieeeTR Exploring Genetic Programming and Boosting Techniques to Model Software Reliability
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GustavoAntoniodeSouzaGoll.html
AuroraTrinidadRamirezPozo.html
SilviaReginaVergilio.html
http___dx.doi.org_10.1109_TR.2007.903269 http://dx.doi.org/10.1109/TR.2007.903269
Costa:2010:ieeeTR A Genetic Programming Approach for Software Reliability Modeling
EduardoOliveiraCosta.html
AuroraTrinidadRamirezPozo.html
SilviaReginaVergilio.html
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Costa:1997:acsqrscgp A Methodology for the Analysis of Complex Systems based on Qualitative Reasoning, Stochastic Complexity and Genetic Programming
PaoloCosta.html
costelloe:2004:eurogp Genetic Programming for Subjective Fitness Function Identification
DanCostelloe.html
ConorRyan.html
http___dx.doi.org_10.1007_978-3-540-24650-3_24 http://dx.doi.org/10.1007/978-3-540-24650-3_24
1277389 Towards models of user preferences in interactive musical evolution
DanCostelloe.html
ConorRyan.html
http___gpbib.cs.ucl.ac.uk_gecco2007_docs_p2254.pdf http://gpbib.cs.ucl.ac.uk/gecco2007/docs/p2254.pdf
http___dx.doi.org_10.1145_1276958.1277389 http://dx.doi.org/10.1145/1276958.1277389
Costelloe:2009:eurogp On Improving Generalisation in Genetic Programming
DanCostelloe.html
ConorRyan.html
http___dx.doi.org_10.1007_978-3-642-01181-8_6 http://dx.doi.org/10.1007/978-3-642-01181-8_6
Costelloe:thesis Evolutionary Optimisation and Prediction in Subjective Problem Domains
DanCostelloe.html
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cotillon:2012:EuroGP Android Genetic Programming Framework
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PhilipValencia.html
RajaJurdak.html
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http___dx.doi.org_10.1007_978-3-642-29139-5_2 http://dx.doi.org/10.1007/978-3-642-29139-5_2
cotta:1996:edflc Evolutionary Design of Fuzzy Logic Controllers
CarlosCotta.html
EnriqueAlba.html
JoseMariaTroya.html
http___www.lcc.uma.es__ccottap_papers_isic96flc.pdf http://www.lcc.uma.es/~ccottap/papers/isic96flc.pdf
cotta:ppsn2002:pp720 Inferring Phylogenetic Trees Using Evolutionary Algorithms
CarlosCotta.html
PabloMoscato.html
http___dx.doi.org_10.1007_3-540-45712-7_69 http://dx.doi.org/10.1007/3-540-45712-7_69
Cotta:2007:GPEM Where is evolutionary computation going? A temporal analysis of the EC community
CarlosCotta.html
JuanJulianMerelo.html
http___dx.doi.org_10.1007_s10710-007-9031-0 http://dx.doi.org/10.1007/s10710-007-9031-0
journals/soco/CouchetMRR07 Crossover and mutation operators for grammar-guided genetic programming
JorgeCouchetTarantelli.html
DanielManriqueGamo.html
JuanRiosCarrion.html
AlfonsoRodriguez-PatonAradas.html
http___dx.doi.org_10.1007_s00500-006-0144-9 http://dx.doi.org/10.1007/s00500-006-0144-9
Couet:thesis Controle d'un bioreacteur a perfusion pour la regeneration du tissu vasculaire
FredericCouet.html
http___www.theses.ulaval.ca_2011_28452_28452.pdf http://www.theses.ulaval.ca/2011/28452/28452.pdf
Courte:2007:ANNIE Hybrid Evolutionary Code Generation Optimizing Both Functional Form and Parameter Values
DaleECourte.html
http___dx.doi.org_10.1115_1.802655.paper35 http://dx.doi.org/10.1115/1.802655.paper35
Courtrai:2001:Euromicro Java objects communication on a high performance network
LucCourtrai.html
YvesMaheo.html
FredericRaimbault.html
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http___dx.doi.org_10.1109_EMPDP.2001.905044 http://dx.doi.org/10.1109/EMPDP.2001.905044
Covert:2014:ALIFE Structured Populations with Limited Resources Exhibit Higher Rates of Complex Function Evolution
ArthurWCovertIII.html
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EvanDeLord.html
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http___dx.doi.org_10.7551_978-0-262-32621-6-ch021 http://dx.doi.org/10.7551/978-0-262-32621-6-ch021
Cowan:thesis An evolutionary computation approach to the software engineering of evolving programs
GeorgeSCowan.html
http___search.proquest.com_docview_304534353 http://search.proquest.com/docview/304534353
Cowan:book Acquisition of Software Engineering Knowledge SWEEP: An Automatic Programming System Based on Genetic Programming and Cultural Algorithms
GeorgeSCowan.html
RobertGReynolds.html
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Cowan:2024:evoapplications Strategies for Evolving Diverse and Effective Behaviours in Pursuit Domains
TylerCowan.html
BrianJRoss.html
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http___dx.doi.org_10.1007_978-3-031-56855-8_21 http://dx.doi.org/10.1007/978-3-031-56855-8_21
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AlisonCozad.html
NikolaosVSahinidis.html
https___doi.org_10.1007_s10107-018-1289-x https://doi.org/10.1007/s10107-018-1289-x
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Cpalka:2015:ITC A new approach to design of control systems using genetic programming
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KrystianLapa.html
AndrzejPrzybyl.html
http___www.itc.ktu.lt_index.php_ITC_article_view_10214 http://www.itc.ktu.lt/index.php/ITC/article/view/10214
http___dx.doi.org_10.5755_j01.itc.44.4.10214 http://dx.doi.org/10.5755/j01.itc.44.4.10214
craig:1999:gpds Genetic Programming and Data Structures
IainCraig.html
http___journals.cambridge.org_abstract_S0263574799261528 http://journals.cambridge.org/abstract_S0263574799261528
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oai:CiteSeerX.psu:10.1.1.460.1644 Genetic Program Feature Selection for Epistatic Problems using a GA+ANN Hybrid Approach
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IanKavanagh.html
JaneBrooksZurn.html
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Craine:2024:GI Human Guidance Approaches for the Genetic Improvement of Software
BenjaminJCraine.html
PenelopeFaulknerRainford.html
BarryPorter.html
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Cramer:2015:ieeeSSCI Predicting Rainfall in the Context of Rainfall Derivatives Using Genetic Programming
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AlexAlvesFreitas.html
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http___dx.doi.org_10.1109_SSCI.2015.108 http://dx.doi.org/10.1109/SSCI.2015.108
Cramer:2016:GECCO A Genetic Decomposition Algorithm for Predicting Rainfall within Financial Weather Derivatives
SamCramer.html
MichaelKampouridis.html
AlexAlvesFreitas.html
http___dx.doi.org_10.1145_2908812.2908894 http://dx.doi.org/10.1145/2908812.2908894
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SamCramer.html
MichaelKampouridis.html
AlexAlvesFreitas.html
http___dx.doi.org_10.1109_CEC.2016.7744231 http://dx.doi.org/10.1109/CEC.2016.7744231
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SamCramer.html
MichaelKampouridis.html
AlexAlvesFreitas.html
AntonisKAlexandridis.html
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SamCramer.html
https___kar.kent.ac.uk_69471_ https://kar.kent.ac.uk/69471/
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Cramer:2017:ESA An extensive evaluation of seven machine learning methods for rainfall prediction in weather derivatives
SamCramer.html
MichaelKampouridis.html
AlexAlvesFreitas.html
AntonisKAlexandridis.html
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CRAMER:2019:SEC Stochastic model genetic programming: Deriving pricing equations for rainfall weather derivatives
SamCramer.html
MichaelKampouridis.html
AlexAlvesFreitas.html
AntonisKAlexandridis.html
http___dx.doi.org_10.1016_j.swevo.2019.01.008 http://dx.doi.org/10.1016/j.swevo.2019.01.008
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AlexAlvesFreitas.html
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crane:2005:GPTP The effects of size and depth limits on tree based genetic programming
ElleryFussellCrane.html
NicholasFreitagMcPhee.html
http___dx.doi.org_10.1007_0-387-28111-8_15 http://dx.doi.org/10.1007/0-387-28111-8_15
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ConstantinCranganu.html
ElenaBautu.html
http___dx.doi.org_10.1016_j.petrol.2009.11.017 http://dx.doi.org/10.1016/j.petrol.2009.11.017
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KyleSCranmer.html
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KyleSCranmer.html
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http___arXiv.org_abs_physics_0402030 http://arXiv.org/abs/physics/0402030
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http___arxiv.org_abs_physics_0402030 http://arxiv.org/abs/physics/0402030
http___dx.doi.org_10.1016_j.cpc.2004.12.006 http://dx.doi.org/10.1016/j.cpc.2004.12.006
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KyleSCranmer.html
http___www.theoryandpractice.org_kyle_Files_cranmer_thesis.pdf http://www.theoryandpractice.org/kyle/Files/cranmer_thesis.pdf
https___cds.cern.ch_record_823591 https://cds.cern.ch/record/823591
crapper:1997:mrrr Modelling Rainfall-runoff Relationships
PeterFCrapper.html
PeterAlexanderWhigham.html
http___trove.nla.gov.au_work_24556122 http://trove.nla.gov.au/work/24556122
http___books.google.co.uk_books_about_24th_Hydrology_Water_resources_Symposium.html_id_bLC5PwAACAAJ_redir_esc_y http://books.google.co.uk/books/about/24th_Hydrology_Water_resources_Symposium.html?id=bLC5PwAACAAJ&redir_esc=y
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ChristopherCCrary.html
WesleyPiard.html
BrittonChesley.html
GregStitt.html
http___dx.doi.org_10.1109_CASES55004.2022.00015 http://dx.doi.org/10.1109/CASES55004.2022.00015
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GregStitt.html
CalebBean.html
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https___rdcu.be_c8UYC https://rdcu.be/c8UYC
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crawford-marks:2004:ascribe Hampshire College Student Uses J.K. Rowling's Quidditch as Basis for Artificial Intelligence Experiment
http___www.snitchseeker.com_harry-potter-news_college-student-uses-quidditch-for-an-experiment-15270_ http://www.snitchseeker.com/harry-potter-news/college-student-uses-quidditch-for-an-experiment-15270/
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LeeSpector.html
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http___gpbib.cs.ucl.ac.uk_gecco2004_LBP046.pdf http://gpbib.cs.ucl.ac.uk/gecco2004/LBP046.pdf
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FloydMCreevey.html
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LloydCLHollenberg.html
https___rdcu.be_dlYH8 https://rdcu.be/dlYH8
http___dx.doi.org_10.1038_s41598-023-37767-w http://dx.doi.org/10.1038/s41598-023-37767-w
crepeau:1995:GEMS Genetic Evolution of Machine Language Software
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http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_GEMS_Article.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/GEMS_Article.pdf
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BarrettRBryant.html
FaizanJaved.html
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JacquesLevy-Vehel.html
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CedricRoll.html
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http___dx.doi.org_10.1016_j.fluid.2022.113403 http://dx.doi.org/10.1016/j.fluid.2022.113403
doi:10.1142/S012918319700028X Genetic Algorithms in a Distributed Computing Environment Using PVM
GACronje.html
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crosbie:1996:eedp Evolving Event-Driven Programs
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EugeneHSpafford.html
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MarkCrosbie.html
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ToddEllis.html
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Cross-AI-2018-PhD-Thesis Reconfigurable computing for advanced trading strategies
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https___spiral.imperial.ac.uk_handle_10044_1_64787 https://spiral.imperial.ac.uk/handle/10044/1/64787
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Cruz-Salinas:2017:GECCO Self-adaptation of Genetic Operators Through Genetic Programming Techniques
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http___doi.acm.org_10.1145_3071178.3071214 http://doi.acm.org/10.1145/3071178.3071214
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Csaba:2019:SYNASC Towards Automated Quality Assessment Methods in Algorithmic Music Composition
CsabaSulyok.html
http___dx.doi.org_10.1109_SYNASC49474.2019.00029 http://dx.doi.org/10.1109/SYNASC49474.2019.00029
Csukas:1996:CCE Combining generated structural models with genetic programming in evolutionary synthesis
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KVarga.html
SandorBalogh.html
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Csukas:1998:CI Combining genetic programming with generic simulation models in evolutionary synthesis
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DBLP:journals/corr/abs-2005-01207 Obtaining Basic Algebra Formulas with Genetic Programming and Functional Rewriting
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JonatanGomezPerdomo.html
https___arxiv.org_abs_2005.01207 https://arxiv.org/abs/2005.01207
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CUEVAS:2018:ESA A selection method for evolutionary algorithms based on the Golden Section
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MarcoPerez-Cisneros.html
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JoergHaehner.html
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Cui:2023:FOGA Weighted Mutation of Connections To Mitigate Search Space Limitations in Cartesian Genetic Programming
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DavidPaetzel.html
AndreasMargraf.html
JoergHaehner.html
http___dx.doi.org_10.1145_3594805.3607130 http://dx.doi.org/10.1145/3594805.3607130
Cui:2024:evomusart MoodLoopGP: Generating Emotion-Conditioned Loop Tablature Music with Multi-granular Features
WenqianCui.html
PedroSarmento.html
MathieuBarthet.html
https___rdcu.be_dD0Ek https://rdcu.be/dD0Ek
http___dx.doi.org_10.1007_978-3-031-56992-0_7 http://dx.doi.org/10.1007/978-3-031-56992-0_7
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TianxiangCui.html
JingpengLi.html
JohnRWoodward.html
AndrewJParkes.html
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DBLP:conf/gecco/CuiBO09 Efficient trade execution using a genetic algorithm in an order book based artificial stock market
WeiCui.html
AnthonyBrabazon.html
MichaelO'Neill.html
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cui:2010:evofin Evolving Dynamic Trade Execution Strategies Using Grammatical Evolution
WeiCui.html
AnthonyBrabazon.html
MichaelO'Neill.html
http___dx.doi.org_10.1007_978-3-642-12242-2_20 http://dx.doi.org/10.1007/978-3-642-12242-2_20
cui_etal:cec2010 Evolving Efficient Limit Order Strategy using Grammatical Evolution
WeiCui.html
AnthonyBrabazon.html
MichaelO'Neill.html
http___dx.doi.org_10.1109_CEC.2010.5586040 http://dx.doi.org/10.1109/CEC.2010.5586040
CuiBO:2010:NCCFECTE Evolutionary Computation and Trade Execution (Volume 3)
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AnthonyBrabazon.html
MichaelO'Neill.html
http___dx.doi.org_10.1007_978-3-642-13950-5_4 http://dx.doi.org/10.1007/978-3-642-13950-5_4
CuiBO:2011:IJFMDDTEAGEA Dynamic Trade Execution: A Grammatical Evolution Approach
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AnthonyBrabazon.html
MichaelO'Neill.html
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wei:thesis An Empirical Investigation of Price Impact: An Agent-based Modelling Approach
WeiCui.html
http___ncra.ucd.ie_papers_wei_thesis.pdf http://ncra.ucd.ie/papers/wei_thesis.pdf
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XiangBiaoCui.html
MartinJohnson.html
http___mro.massey.ac.nz_handle_10179_4332 http://mro.massey.ac.nz/handle/10179/4332
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Cuibus:2012:AQTR Genetic programming synthesis of discrete event controllers applied to urban vehicle traffic control
OctavianPCuibus.html
TiberiuSLetia.html
http___dx.doi.org_10.1109_AQTR.2012.6237679 http://dx.doi.org/10.1109/AQTR.2012.6237679
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JamieCullen.html
http___dx.doi.org_10.1007_978-3-540-85857-7_38 http://dx.doi.org/10.1007/978-3-540-85857-7_38
DBLP:conf/seal/Cullen08 Evolving Digital Circuits in an Industry Standard Hardware Description Language
JamieCullen.html
http___dx.doi.org_10.1007_978-3-540-89694-4_52 http://dx.doi.org/10.1007/978-3-540-89694-4_52
Cullen:2009:GEC Evolving common LISP programs in a linear-genotype evolutionary computation system
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http___dx.doi.org_10.1145_1543834.1543846 http://dx.doi.org/10.1145/1543834.1543846
Cullen:2009:GECa Evolutionary meta programming
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http___dx.doi.org_10.1145_1543834.1543847 http://dx.doi.org/10.1145/1543834.1543847
cummins:2004:lbp Using Genetic Programming to Evolve Weighting Schemes for the Vector Space Model of Information Retrieval
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cummins:2004:AICS Determining General Term Weighting Schemes for the Vector Space Model of Information Retrieval Using Genetic Programming
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Cummins:2004:071204 Evolving, Analysing and Improving Global Term-Weighting Schemes in Information Retrieval
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Cummins:2005:201205 Evolving Term-Selection Schemes for Pseudo-Relevance Feedback in Information Retrieval
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cummins:2005:CIKM An evaluation of evolved term-weighting schemes in information retrieval
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cummins:2005:AICS Evolving Co-occurrence Based Query Expansion Schemes in Information Retrieval Using Genetic Programming
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Cummins:2005:AIR Evolving General Term-Weighting Schemes for Information Retrieval: Tests on Larger Collections
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Cummins:2006:IR Evolving local and global weighting schemes in information retrieval
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Cummins:2006:ECAI Term-Weighting in Information Retrieval using Genetic Programming: A Three Stage Process
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rc-tir06 A Framework for the study of Evolved Term-Weighting Schemes in Information Retrieval
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Cummins:2006:AICS An analysis of the Solution Space for Genetically Programmed Term-Weighting Schemes in Information Retrieval
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1277390 Using genetic programming for information retrieval: local and global query expansion
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Cummins:2007:AICS An Axiomatic Comparison of Learned Term-weighting Schemes in Information Retrieval
RonanCummins.html
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cummins:2007:AIR Evolved term-weighting schemes in Information Retrieval: an analysis of the solution space
RonanCummins.html
ColmO'Riordan.html
http___dx.doi.org_10.1007_s10462-007-9034-5 http://dx.doi.org/10.1007/s10462-007-9034-5
cummins:2007a:AIR An axiomatic comparison of learned term-weighting schemes in information retrieval: clarifications and extensions
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ColmO'Riordan.html
http___dx.doi.org_10.1007_s10462-008-9074-5 http://dx.doi.org/10.1007/s10462-008-9074-5
Cummins:2007:SIGIR An Axiomatic Study of Learned Term-Weighting Schemes
RonanCummins.html
ColmO'Riordan.html
http___ww2.it.nuigalway.ie_cirg_localpubs_axioms.pdf http://ww2.it.nuigalway.ie/cirg/localpubs/axioms.pdf
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RonanCummins.html
http___www3.it.nuigalway.ie_cirg_rcummins_thesis.pdf http://www3.it.nuigalway.ie/cirg/rcummins_thesis.pdf
Cummins:2009:SIGIR Learning in a pairwise term-term proximity framework for information retrieval
RonanCummins.html
ColmO'Riordan.html
http___dx.doi.org_10.1145_1571941.1571986 http://dx.doi.org/10.1145/1571941.1571986
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RonanCummins.html
MouniaLalmas.html
ColmO'Riordan.html
http___ebooks.iospress.nl_publication_5831 http://ebooks.iospress.nl/publication/5831
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http___dx.doi.org_10.3233_978-1-60750-606-5-535 http://dx.doi.org/10.3233/978-1-60750-606-5-535
Cunge:2003:JH Of data and models
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http___www.iwaponline.com_jh_005_0075_0050075.pdf http://www.iwaponline.com/jh/005/0075/0050075.pdf
http___dx.doi.org_10.2166_hydro.2003.0007 http://dx.doi.org/10.2166/hydro.2003.0007
Cunha:2018:ietMAP Efficient model based on genetic programming and spline functions to find modes of unconventional waveguides
AlexandreAshadeLassanceCunha.html
MarcoAurelioCavalcantiPacheco.html
http___dx.doi.org_10.1049_iet-map.2017.0490 http://dx.doi.org/10.1049/iet-map.2017.0490
Cunkas:2011:Energy_Sources Turkey's Electricity Consumption Forecasting Using Genetic Programming
MCunkas.html
UTaskiran.html
http___dx.doi.org_10.1080_15567240903047558 http://dx.doi.org/10.1080/15567240903047558
cunningham:2011:AAL.D+vN A Genetic Programming Approach to an Appropriation Common Pool Game
AlanCunningham.html
ColmO'Riordan.html
http___link.springer.com_chapter_10.1007_978-3-642-21314-4_21 http://link.springer.com/chapter/10.1007/978-3-642-21314-4_21
http___dx.doi.org_10.1007_978-3-642-21314-4_21 http://dx.doi.org/10.1007/978-3-642-21314-4_21
Cunningham:thesis The Evolution of Groups for Common Pool Resource Sharing Applications of Genetic Programming to Groups for Computer Game Artificial Intelligence
AlanCunningham.html
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Cupertino:2011:CIGPU Evolving CUDA PTX programs by quantum inspired linear genetic programming
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CleomarPereiradaSilva.html
DouglasMotaDias.html
MarcoAurelioCavalcantiPacheco.html
CristianaBentes.html
http___dx.doi.org_10.1145_2001858.2002026 http://dx.doi.org/10.1145/2001858.2002026
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DaraCurran.html
EugeneFreuder.html
ThomasJansen.html
http___dx.doi.org_10.1145_1830483.1830660 http://dx.doi.org/10.1145/1830483.1830660
currey:2004:CSCSI Towards Efficient Training on Large Datasets for Genetic Programming
RobertCurry.html
MalcolmHeywood.html
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curry:2007:SMC Scaling Genetic Programming to Large Datasets Using Hierarchical Dynamic Subset Selection
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MalcolmHeywood.html
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http___dx.doi.org_10.1109_TSMCB.2007.896406 http://dx.doi.org/10.1109/TSMCB.2007.896406
Curry:2007:SMCb One-Class Learning with Multi-Objective Genetic Programming
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Curry:2009:eurogp One-Class Genetic Programming
RobertCurry.html
MalcolmHeywood.html
http___dx.doi.org_10.1007_978-3-642-01181-8_1 http://dx.doi.org/10.1007/978-3-642-01181-8_1
cus:2003:RCIM Optimization of cutting process by GA approach
FranciCus.html
JozeBalic.html
http___dx.doi.org_10.1016_S0736-5845_02_00068-6 http://dx.doi.org/10.1016/S0736-5845(02)00068-6
cus:2004:ME Optimization of cutting forces in ball-end milling by GA
FranciCus.html
MatjazMilfelner.html
JozeBalic.html
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SylvainCussat-Blanc.html
HerveLuga.html
YvesDuthen.html
http___www.alifexi.org_papers_ALIFExi_pp134-141.pdf http://www.alifexi.org/papers/ALIFExi_pp134-141.pdf
Cussat-Blanc:2009:cec Cell2Organ: Self-Repairing Artificial Creatures Thanks to a Healthy Metabolism
SylvainCussat-Blanc.html
HerveLuga.html
YvesDuthen.html
http___dx.doi.org_10.1109_CEC.2009.4983282 http://dx.doi.org/10.1109/CEC.2009.4983282
Cussat-Blanc:2018:alife Artificial Genetic Regulatory Networks - A Review
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KyleIraHarrington.html
WolfgangBanzhaf.html
http___dx.doi.org_10.1162_artl_a_00267 http://dx.doi.org/10.1162/artl_a_00267
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Custodio:2023:ICBIR Development of a Quality Grading Model for Processed Milk through Sensor Data and Symbolic Genetic Programming
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JohnVincentCortez.html
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RonnieSConcepcionII.html
http___dx.doi.org_10.1109_ICBIR57571.2023.10147437 http://dx.doi.org/10.1109/ICBIR57571.2023.10147437
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KristijanLenac.html
EnzoMumolo.html
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czajkowski:2013:EuroGP Global Top-Scoring Pair Decision Tree for Gene Expression Data Analysis
MarcinCzajkowski.html
MarekKretowski.html
http___dx.doi.org_10.1007_978-3-642-37207-0_20 http://dx.doi.org/10.1007/978-3-642-37207-0_20
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GianniD'Angelo.html
MariaNunziaScoppettuolo.html
AnnaLisaCammarota.html
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https___rdcu.be_dbFaV https://rdcu.be/dbFaV
http___dx.doi.org_10.1007_s00500-022-07383-3 http://dx.doi.org/10.1007/s00500-022-07383-3
d'emilio:2020:IBESAFF Modeling Soil Thermal Regimes During a Solarization Treatment in Closed Greenhouse by Means of Symbolic Regression via Genetic Programming
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Dabhi:2011:ICIIP Empirical modeling using symbolic regression via postfix Genetic Programming
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http___dx.doi.org_10.1109_ICIIP.2011.6108857 http://dx.doi.org/10.1109/ICIIP.2011.6108857
Dabhi:2012:arXiv A Survey on Techniques of Improving Generalization Ability of Genetic Programming Solutions
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http___arxiv.org_abs_1211.1119 http://arxiv.org/abs/1211.1119
conf/bic-ta/DabhiC12 Semantic Sub-tree Crossover Operator for Postfix Genetic Programming
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http___dx.doi.org_10.1007_978-81-322-1038-2_33 http://dx.doi.org/10.1007/978-81-322-1038-2_33
Dabhi:2014:ACCT Time Series Modeling and Prediction Using Postfix Genetic Programming
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Dabhi:2014:IJMHEUR Performance comparison of crossover operators for postfix genetic programming
VipulKDabhi.html
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http___www.inderscience.com_link.php_id_65189 http://www.inderscience.com/link.php?id=65189
http___dx.doi.org_10.1504_IJMHEUR.2014.065189 http://dx.doi.org/10.1504/IJMHEUR.2014.065189
journals/cas/DabhiC15 Solution Modeling Using Postfix Genetic Programming
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http___dx.doi.org_10.1080_01969722.2015.1058662 http://dx.doi.org/10.1080/01969722.2015.1058662
journals/nc/DabhiC15 Empirical modeling using genetic programming: a survey of issues and approaches
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http___dx.doi.org_10.1007_s11047-014-9416-y http://dx.doi.org/10.1007/s11047-014-9416-y
oai:arXiv.org:1507.01687 Developing Postfix-GP Framework for Symbolic Regression Problems
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http___arxiv.org_abs_1507.01687 http://arxiv.org/abs/1507.01687
DaCosta:2005:ICANNGA Generating grammatical plant models with genetic algorithms
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https___link.springer.com_chapter_10.1007_3-211-27389-1_55 https://link.springer.com/chapter/10.1007/3-211-27389-1_55
https___doi.org_10.1007_b138998 https://doi.org/10.1007/b138998
http___dx.doi.org_10.1007_3-211-27389-1_55 http://dx.doi.org/10.1007/3-211-27389-1_55
1144158 Relaxed genetic programming
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http___gpbib.cs.ucl.ac.uk_gecco2006_docs_p937.pdf http://gpbib.cs.ucl.ac.uk/gecco2006/docs/p937.pdf
http___dx.doi.org_10.1145_1143997.1144158 http://dx.doi.org/10.1145/1143997.1144158
conf/ae/CostaLL07 Treating Noisy Data Sets with Relaxed Genetic Programming
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YanLevasseur.html
http___dx.doi.org_10.1007_978-3-540-79305-2_1 http://dx.doi.org/10.1007/978-3-540-79305-2_1
Dafflon:2020:HBM An automated machine learning approach to predict brain age from cortical anatomical measures
JessicaDeFariaDafflon.html
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FedericoTurkheimer.html
JamesHCole.html
RobertLeech.html
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https___arxiv.org_abs_1910.03349 https://arxiv.org/abs/1910.03349
https___onlinelibrary.wiley.com_doi_abs_10.1002_hbm.25028 https://onlinelibrary.wiley.com/doi/abs/10.1002/hbm.25028
http___dx.doi.org_10.1002_hbm.25028 http://dx.doi.org/10.1002/hbm.25028
Daga:2009:NH Alternative data-driven methods to estimate wind from waves by inverse modeling
MansiDaga.html
MCDeo.html
http___dx.doi.org_10.1007_s11069-008-9299-2 http://dx.doi.org/10.1007/s11069-008-9299-2
DAGDIA:2020:KDBDAEO When Evolutionary Computing Meets Astro- and Geoinformatics
ZainebChellyDagdia.html
MiroslavMirchev.html
http___dx.doi.org_10.1016_B978-0-12-819154-5.00026-6 http://dx.doi.org/10.1016/B978-0-12-819154-5.00026-6
http___www.sciencedirect.com_science_article_pii_B9780128191545000266 http://www.sciencedirect.com/science/article/pii/B9780128191545000266
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Dai:2011:Jsoftware Evolutioinary Combination of models in DSS based on Genetic Programming
ChaofanDai.html
YangheFeng.html
JianmaiShi.html
http___ojs.academypublisher.com_index.php_jsw_article_download_0603444451_2812 http://ojs.academypublisher.com/index.php/jsw/article/download/0603444451/2812
http___dx.doi.org_10.4304_jsw.6.3.444-451 http://dx.doi.org/10.4304/jsw.6.3.444-451
Dai:2019:WCNC Multi-objective Genetic Programming based Automatic Modulation Classification
RuiDai.html
YichengGao.html
SaiHuang.html
FanNing.html
ZhiyongFeng.html
http___dx.doi.org_10.1109_WCNC.2019.8885738 http://dx.doi.org/10.1109/WCNC.2019.8885738
Daian:2014:ICSTCC Evolutionary method for railway monitoring systems
GhitaIDaian.html
MariaMSanta.html
TiberiuSLetia.html
http___dx.doi.org_10.1109_ICSTCC.2014.6982487 http://dx.doi.org/10.1109/ICSTCC.2014.6982487
Daida:1995:SARice Extracting curvilinear features from SAR images of arctic ice: Algorithm discovery using the genetic programming paradigm
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StevenJRoss.html
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daida:1996:aigp2 Algorithm Discovery Using the Genetic Programming Paradigm: Extracting Low-Contrast Curvilinear Features from SAR Images of Arctic Ice
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daida:1996:cadic Computer-Assisted Design of Image Classification Algorithms: Dynamic and Static Fitness Evaluations in a Scaffolded Genetic Programming Environment
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daida:1996:ircERSSARias Ice Roughness Classification and ERS SAR Imagery of Arctic Sea Ice: Evaluation of Feature-Extraction Algorithms by Genetic Programming
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daida:1996:efxa Evolving Feature-Extraction Algorithms: Adapting Genetic Programming for Image Analysis in Geoscience and Remote Sensing
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daida:1996: Measuring Small-Scale Water Surface Waves: Nonlinear Interpolation and Integration Techniques for Slope Image Data
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daida:1997:vrmGP Challenges with Verification, Repeatability, and Meaningful Comparisons in Genetic Programming
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Daida:1997:taging Tagging as a Means for Self-Adaptive Hybridization
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daida:1999:aigp3 Analysis of Single-Node (Building) Blocks in Genetic Programming
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daida:1999:fogp Reconnoiter by Candle: Identifying Assumptions in Genetic Programming
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daida:1999:CVRMCGPGM Challenges with Verification, Repeatability, and Meaningful Comparison in Genetic Programming: Gibson's Magic
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daida:1999:MSWMPGATDPGP What Makes a Problem GP-Hard? Analysis of a Tunably Difficult Problem in Genetic Programming
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daida:1999:OMDDGPC Of Metaphors and Darwinism: Deconstructing Genetic Programming's Chimera
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http___dx.doi.org_10.1109_CEC.1999.781959 http://dx.doi.org/10.1109/CEC.1999.781959
daida:2001:GPEM What Makes a Problem GP-Hard? Analysis of a Tunably Difficult Problem in Genetic Programming
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daida:2002:lteigplm Limits to Expression in Genetic Programming: Lattice-Aggregate Modeling
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daida:2003:GPTP What Makes a Problem GP-Hard? A Look at How Structure Affects Content
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http___www.springer.com_computer_ai_book_978-1-4020-7581-0 http://www.springer.com/computer/ai/book/978-1-4020-7581-0
http___dx.doi.org_10.1007_978-1-4419-8983-3_7 http://dx.doi.org/10.1007/978-1-4419-8983-3_7
daida0:2003:gecco Identifying Structural Mechanisms in Standard Genetic Programming
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daida:2003:gecco Visualizing Tree Structures in Genetic Programming
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http___dx.doi.org_10.1007_3-540-45110-2_59 http://dx.doi.org/10.1007/3-540-45110-2_59
daida3:2003:gecco What Makes a Problem GP-Hard? Validating a Hypothesis of Structural Causes
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RickyTang.html
AdamMHilss.html
http___dx.doi.org_10.1007_3-540-45110-2_60 http://dx.doi.org/10.1007/3-540-45110-2_60
daida:2004:GPTP Considering the Roles of Structure in Problem Solving by a Computer
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http___dx.doi.org_10.1007_0-387-23254-0_5 http://dx.doi.org/10.1007/0-387-23254-0_5
daida:2004:dctdwatdpfgp Demonstrating Constraints to Diversity with a Tunably Difficulty Problem for Genetic Programming
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http___dx.doi.org_10.1109_CEC.2004.1331036 http://dx.doi.org/10.1109/CEC.2004.1331036
daida:2004:vtlodigp Visualizing the Loss of Diversity in Genetic Programming
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daida:2005:GPEM Visualizing Tree Structures in Genetic Programming
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daida:2005:GPTP Challenges in Open-Ended Problem Solving with Genetic Programming
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http___dx.doi.org_10.1007_0-387-28111-8_17 http://dx.doi.org/10.1007/0-387-28111-8_17
1068284 Towards identifying populations that increase the likelihood of success in genetic programming
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http___dx.doi.org_10.1145_1068009.1068284 http://dx.doi.org/10.1145/1068009.1068284
1068295 Probing for limits to building block mixing with a tunably-difficult problem for genetic programming
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http___dx.doi.org_10.1145_1068009.1068295 http://dx.doi.org/10.1145/1068009.1068295
Daida:2006:GPTP Phase Transitions in Genetic Programming Search
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MatthewJByom.html
http___dx.doi.org_10.1007_978-0-387-49650-4_15 http://dx.doi.org/10.1007/978-0-387-49650-4_15
1144140 Characterizing the dynamics of symmetry breaking in genetic programming
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http___gpbib.cs.ucl.ac.uk_gecco2006_docs_p799.pdf http://gpbib.cs.ucl.ac.uk/gecco2006/docs/p799.pdf
http___dx.doi.org_10.1145_1143997.1144140 http://dx.doi.org/10.1145/1143997.1144140
dain:1997:GPmrwfa Genetic Programming For Mobile Robot Wall-Following Algorithms
RobertADain.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_gp1997_dain_1997_GPmrwfa.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/gp1997/dain_1997_GPmrwfa.pdf
dain:1998:GPmrwfa Developing Mobile Robot Wall-Following Algorithms Using Genetic Programming
RobertADain.html
http___dx.doi.org_10.1023_A_1008216530547 http://dx.doi.org/10.1023/A:1008216530547
dain:1999:dmrwaugp Development of Mobile Robot Wall-Following Algorithms Using Genetic Programming
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http___www.crcpress.com_product_isbn_9780849398018 http://www.crcpress.com/product/isbn/9780849398018
Dalinghaus:2023:CS Using Genetic Programming for Ensemble Predictions of Wave Setup
CharlineDalinghaus.html
GiovanniCoco.html
PabloHiguera.html
http___dx.doi.org_10.1142_9789811275135_0177 http://dx.doi.org/10.1142/9789811275135_0177
https___coastalhub.science_f_genetic-programming-as-a-tool-to-predict-coastal-processes https://coastalhub.science/f/genetic-programming-as-a-tool-to-predict-coastal-processes
dalinghaus:2023:nhess A predictive equation for wave setup using genetic programming
CharlineDalinghaus.html
GiovanniCoco.html
PabloHiguera.html
https___nhess.copernicus.org_articles_23_2157_2023_ https://nhess.copernicus.org/articles/23/2157/2023/
http___dx.doi.org_10.5194_nhess-23-2157-2023 http://dx.doi.org/10.5194/nhess-23-2157-2023
dallaway:1993:GPcm Genetic programming and cognitive models
RichardDallaway.html
http___www.dallaway.com_acad_evolution_evocog.html http://www.dallaway.com/acad/evolution/evocog.html
Damasevicius:ITA:2008 Derivation of context-free stochastic L-Grammar rules for promoter sequence modeling using Support Vector Machine
RobertasDamasevicius.html
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http___www.foibg.com_ibs_isc_ibs-02_ibs-02.htm http://www.foibg.com/ibs_isc/ibs-02/ibs-02.htm
http___www.foibg.com_ibs_isc_ibs-02_IBS-02-p13.pdf http://www.foibg.com/ibs_isc/ibs-02/IBS-02-p13.pdf
Damasevicius2010633 Structural analysis of regulatory DNA sequences using grammar inference and Support Vector Machine
RobertasDamasevicius.html
http___dx.doi.org_10.1016_j.neucom.2009.09.018 http://dx.doi.org/10.1016/j.neucom.2009.09.018
http___www.sciencedirect.com_science_article_B6V10-4XRYT4P-1_2_2e5b008bc8df4d5a39553b40fe6728c3 http://www.sciencedirect.com/science/article/B6V10-4XRYT4P-1/2/2e5b008bc8df4d5a39553b40fe6728c3
DBLP:conf/ilp/dAmatoFE07 Induction of Optimal Semantic Semi-distances for Clausal Knowledge Bases
Claudiad'Amato.html
NicolaFanizzi.html
FlorianaEsposito.html
https___doi.org_10.1007_978-3-540-78469-2_7 https://doi.org/10.1007/978-3-540-78469-2_7
http___dx.doi.org_10.1007_978-3-540-78469-2_7 http://dx.doi.org/10.1007/978-3-540-78469-2_7
https___dblp.org_rec_bib_conf_ilp_dAmatoFE07 https://dblp.org/rec/bib/conf/ilp/dAmatoFE07
Dambrot:2018:UEMCON ReGene: Blockchain backup of genome data and restoration of pre-engineered expressed phenotype
SMasonDambrot.html
http___dx.doi.org_10.1109_UEMCON.2018.8796768 http://dx.doi.org/10.1109/UEMCON.2018.8796768
Damper:2001:timr Scaling Intelligent Behaviour in the ARBIB Autonomous Robot
RobertIDamper.html
RLBFrench.html
http___apt.cs.manchester.ac.uk_ftp_pub_TR_UMCS-01-4-1.html http://apt.cs.manchester.ac.uk/ftp/pub/TR/UMCS-01-4-1.html
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DANAI:2021:MSSP Controller design by symbolic regression
KouroshDanai.html
WilliamLaCava.html
http___dx.doi.org_10.1016_j.ymssp.2020.107348 http://dx.doi.org/10.1016/j.ymssp.2020.107348
https___www.sciencedirect.com_science_article_pii_S0888327020307342 https://www.sciencedirect.com/science/article/pii/S0888327020307342
DanandehMehr:2013:JH Streamflow prediction using linear genetic programming in comparison with a neuro-wavelet technique
AliDanandehMehr.html
ErcanKahya.html
EhsanOlyaie.html
http___www.sciencedirect.com_science_article_pii_S0022169413007105 http://www.sciencedirect.com/science/article/pii/S0022169413007105
http___dx.doi.org_10.1016_j.jhydrol.2013.10.003 http://dx.doi.org/10.1016/j.jhydrol.2013.10.003
DanandehMehr:2014:CG Linear genetic programming application for successive-station monthly streamflow prediction
AliDanandehMehr.html
ErcanKahya.html
CahitYerdelen.html
http___dx.doi.org_10.1016_j.cageo.2014.04.015 http://dx.doi.org/10.1016/j.cageo.2014.04.015
http___www.sciencedirect.com_science_article_pii_S0098300414001010 http://www.sciencedirect.com/science/article/pii/S0098300414001010
DanandehMehr:2014:JH A gene-wavelet model for long lead time drought forecasting
AliDanandehMehr.html
ErcanKahya.html
MehmetOzger.html
http___dx.doi.org_10.1016_j.jhydrol.2014.06.012 http://dx.doi.org/10.1016/j.jhydrol.2014.06.012
http___www.sciencedirect.com_science_article_pii_S0022169414004727 http://www.sciencedirect.com/science/article/pii/S0022169414004727
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AliDanandehMehr.html
MehmetCuneydDemirel.html
http___mmfdergi.uludag.edu.tr_article_view_5000195603 http://mmfdergi.uludag.edu.tr/article/view/5000195603
http___mmfdergi.uludag.edu.tr_article_view_5000195603_5000179033 http://mmfdergi.uludag.edu.tr/article/view/5000195603/5000179033
http___dx.doi.org_10.17482_uumfd.278107 http://dx.doi.org/10.17482/uumfd.278107
DanandehMehr:2017:JH A Pareto-optimal moving average multigene genetic programming model for daily streamflow prediction
AliDanandehMehr.html
ErcanKahya.html
http___dx.doi.org_10.1016_j.jhydrol.2017.04.045 http://dx.doi.org/10.1016/j.jhydrol.2017.04.045
http___www.sciencedirect.com_science_article_pii_S0022169417302664 http://www.sciencedirect.com/science/article/pii/S0022169417302664
DanandehMehr:2017:EMS A Pareto-optimal moving average-multigene genetic programming model for rainfall-runoff modelling
AliDanandehMehr.html
VahidNourani.html
http___dx.doi.org_10.1016_j.envsoft.2017.03.004 http://dx.doi.org/10.1016/j.envsoft.2017.03.004
http___www.sciencedirect.com_science_article_pii_S1364815216308143 http://www.sciencedirect.com/science/article/pii/S1364815216308143
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AliDanandehMehr.html
VahidNourani.html
BahrudinHrnjica.html
AmirMolajou.html
http___www.sciencedirect.com_science_article_pii_S002216941730714X http://www.sciencedirect.com/science/article/pii/S002216941730714X
http___dx.doi.org_10.1016_j.jhydrol.2017.10.039 http://dx.doi.org/10.1016/j.jhydrol.2017.10.039
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AliDanandehMehr.html
http___article.aascit.org_file_pdf_8100054.pdf http://article.aascit.org/file/pdf/8100054.pdf
http___www.aascit.org_journal_archive2_journalId_810_paperId_6546 http://www.aascit.org/journal/archive2?journalId=810&paperId=6546
DanandehMehr2018 Season Algorithm-Multigene Genetic Programming: A New Approach for Rainfall-Runoff Modelling
AliDanandehMehr.html
VahidNourani.html
http___dx.doi.org_10.1007_s11269-018-1951-3 http://dx.doi.org/10.1007/s11269-018-1951-3
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AliDanandehMehr.html
https___www.sciencedirect.com_science_article_pii_S0022169418304712 https://www.sciencedirect.com/science/article/pii/S0022169418304712
http___dx.doi.org_10.1016_j.jhydrol.2018.06.049 http://dx.doi.org/10.1016/j.jhydrol.2018.06.049
DANANDEHMEHR:2018:JH Genetic programming in water resources engineering: A state-of-the-art review
AliDanandehMehr.html
VahidNourani.html
ErcanKahya.html
BahrudinHrnjica.html
AhmedMAbdelSattar.html
ZaherMundherYaseen.html
http___dx.doi.org_10.1016_j.jhydrol.2018.09.043 http://dx.doi.org/10.1016/j.jhydrol.2018.09.043
http___www.sciencedirect.com_science_article_pii_S0022169418307376 http://www.sciencedirect.com/science/article/pii/S0022169418307376
DANANDEHMEHR:2019:JH Pareto-optimal MPSA-MGGP: A new gene-annealing model for monthly rainfall forecasting
AliDanandehMehr.html
MasoodJabarnejad.html
VahidNourani.html
http___dx.doi.org_10.1016_j.jhydrol.2019.02.003 http://dx.doi.org/10.1016/j.jhydrol.2019.02.003
http___www.sciencedirect.com_science_article_pii_S0022169419301362 http://www.sciencedirect.com/science/article/pii/S0022169419301362
DANANDEHMEHR:2021:ASF Chapter 7 - Genetic programming for streamflow forecasting: a concise review of univariate models with a case study
AliDanandehMehr.html
MirJafarSadeghSafari.html
http___dx.doi.org_10.1016_B978-0-12-820673-7.00007-X http://dx.doi.org/10.1016/B978-0-12-820673-7.00007-X
https___www.sciencedirect.com_science_article_pii_B978012820673700007X https://www.sciencedirect.com/science/article/pii/B978012820673700007X
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AliDanandehMehr.html
JaakkoErkinaro.html
JanHjort.html
AliTorabiHaghighi.html
AmirhosseinAhrari.html
MaijaKorpisaari.html
JormaKuusela.html
BrianDempson.html
HannuMarttila.html
http___dx.doi.org_10.1016_j.ecolind.2022.109203 http://dx.doi.org/10.1016/j.ecolind.2022.109203
https___www.sciencedirect.com_science_article_pii_S1470160X22006756 https://www.sciencedirect.com/science/article/pii/S1470160X22006756
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GianniD'Angelo.html
RaffaelePilla.html
CarloTascini.html
SalvatoreRampone.html
http___link.springer.com_article_10.1007_s00500-018-03729-y http://link.springer.com/article/10.1007/s00500-018-03729-y
http___dx.doi.org_10.1007_s00500-018-03729-y http://dx.doi.org/10.1007/s00500-018-03729-y
DANGELO:2020:FGCS Knowledge elicitation based on genetic programming for non destructive testing of critical aerospace systems
GianniD'Angelo.html
FrancescoPalmieri.html
http___dx.doi.org_10.1016_j.future.2019.09.007 http://dx.doi.org/10.1016/j.future.2019.09.007
http___www.sciencedirect.com_science_article_pii_S0167739X19306193 http://www.sciencedirect.com/science/article/pii/S0167739X19306193
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GianniD'Angelo.html
DavidDella-Morte.html
DonatellaPastore.html
GiuliaDonadel.html
AlessandroDeStefano.html
FrancescoPalmieri.html
https___www.sciencedirect.com_science_article_pii_S0167739X2200334X https://www.sciencedirect.com/science/article/pii/S0167739X2200334X
http___dx.doi.org_10.1016_j.future.2022.10.019 http://dx.doi.org/10.1016/j.future.2022.10.019
danglot:hal-01378523 Correctness attraction: a study of stability of software behavior under runtime perturbation
BenjaminDanglot.html
PhilippePreux.html
BenoitBaudry.html
MartinMonperrus.html
https___hal.archives-ouvertes.fr_hal-01378523 https://hal.archives-ouvertes.fr/hal-01378523
https___hal.archives-ouvertes.fr_hal-01378523_file_correctness-attraction.pdf https://hal.archives-ouvertes.fr/hal-01378523/file/correctness-attraction.pdf
https___hal.archives-ouvertes.fr_hal-01378523_file_correctness-attraction.pdf https://hal.archives-ouvertes.fr/hal-01378523/file/correctness-attraction.pdf
https___hal.archives-ouvertes.fr_hal-01378523 https://hal.archives-ouvertes.fr/hal-01378523
https___arxiv.org_abs_1611.09187 https://arxiv.org/abs/1611.09187
http___dx.doi.org_10.1007_s10664-017-9571-8 http://dx.doi.org/10.1007/s10664-017-9571-8
Danglot:2018:sigevolution Dagstuhl: Seminar on Genetic Improvement of Software
BenjaminDanglot.html
http___www.sigevolution.org_issues_SIGEVOlution1104.pdf http://www.sigevolution.org/issues/SIGEVOlution1104.pdf
http___dx.doi.org_10.1145_3302542.3302544 http://dx.doi.org/10.1145/3302542.3302544
DANISH:2022:WRMCT Chapter 1 - Artificial intelligence and machine learning in water resources engineering
MohdDanish.html
http___dx.doi.org_10.1016_B978-0-323-91910-4.00001-7 http://dx.doi.org/10.1016/B978-0-323-91910-4.00001-7
https___www.sciencedirect.com_science_article_pii_B9780323919104000017 https://www.sciencedirect.com/science/article/pii/B9780323919104000017
Dantas:2019:SSBSE Code naturalness to assist search space exploration in Search-based Program Repair methods
AltinoDantasBasilioNeto.html
EduardoFdeSouza.html
JerffesonTeixeiradeSouza.html
CelsoGCamilo-Junior.html
https___altinodantas.github.io_sbpr-naturalness_ https://altinodantas.github.io/sbpr-naturalness/
http___dx.doi.org_10.1007_978-3-030-27455-9_12 http://dx.doi.org/10.1007/978-3-030-27455-9_12
Dao:2012:CEC Evolving Approximations for the Gaussian Q-function by Genetic Programming with Semantic Based Crossover
NgocPhongDao.html
QuangUyNguyen.html
NguyenXuanHoai.html
RI_Bob_McKay.html
http___dx.doi.org_10.1109_CEC.2012.6256588 http://dx.doi.org/10.1109/CEC.2012.6256588
darabos:evobio12 Levy-Flight Genetic Programming: Towards a New Mutation Paradigm
ChristianDarabos.html
MarioGiacobini.html
TingHu.html
JasonHMoore.html
http___dx.doi.org_10.1007_978-3-642-29066-4_4 http://dx.doi.org/10.1007/978-3-642-29066-4_4
Darabos:2012:GPTP A New Mutation Paradigm for Genetic Programming
ChristianDarabos.html
MarioGiacobini.html
TingHu.html
JasonHMoore.html
http___dx.doi.org_10.1007_978-1-4614-6846-2_4 http://dx.doi.org/10.1007/978-1-4614-6846-2_4
http___dx.doi.org_10.1007_978-1-4614-6846-2_4 http://dx.doi.org/10.1007/978-1-4614-6846-2_4
Darbari:2014:IJAIS Article: Coalescence of Evolutionary Multi-Objective Decision Making approach and Genetic Programming for Selection of Software Quality Parameter
ManujDarbari.html
HimanshuPandey.html
VKSingh.html
GauravKumarSrivastava.html
https___www.ijais.org_archives_volume7_number11_695-1255 https://www.ijais.org/archives/volume7/number11/695-1255
https___research.ijais.org_volume7_number11_ijais14-451255.pdf https://research.ijais.org/volume7/number11/ijais14-451255.pdf
http___dx.doi.org_10.5120_ijais14-451255 http://dx.doi.org/10.5120/ijais14-451255
oai:infoscience.epfl.ch:181818 On the Generation of Precise Fixed-Point Expressions
EvaDarulova.html
ViktorKuncak.html
RupakMajumdar.html
IndranilSaha.html
http___infoscience.epfl.ch_record_181818_files_fixpoints_techreport_1.pdf http://infoscience.epfl.ch/record/181818/files/fixpoints_techreport_1.pdf
http___infoscience.epfl.ch_record_181818 http://infoscience.epfl.ch/record/181818
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.308.8582 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.308.8582
Darulova:2013:EMSOFT Synthesis of fixed-point programs
EvaDarulova.html
ViktorKuncak.html
RupakMajumdar.html
IndranilSaha.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.368.1023 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.368.1023
http___dx.doi.org_10.1109_EMSOFT.2013.6658600 http://dx.doi.org/10.1109/EMSOFT.2013.6658600
Darulova:thesis Programming with Numerical Uncertainties
EvaDarulova.html
http___dx.doi.org_10.5075_epfl-thesis-6343 http://dx.doi.org/10.5075/epfl-thesis-6343
https___infoscience.epfl.ch_record_203570 https://infoscience.epfl.ch/record/203570
https___infoscience.epfl.ch_record_203570_files_EPFL_TH6343.pdf https://infoscience.epfl.ch/record/203570/files/EPFL_TH6343.pdf
oai:thesai.org:10.14569/IJACSA.2017.080463 Dynamic Programming Inspired Genetic Programming to Solve Regression Problems
AsimDarwaish.html
HammadMajeed.html
MuhammadQuamberAli.html
AbdulRafay.html
http___thesai.org_Downloads_Volume8No4_Paper_63-Dynamic_Programming_Inspired_Genetic.pdf http://thesai.org/Downloads/Volume8No4/Paper_63-Dynamic_Programming_Inspired_Genetic.pdf
http___dx.doi.org_10.14569_IJACSA.2017.080463 http://dx.doi.org/10.14569/IJACSA.2017.080463
Darwish:2018:ietN Proactive cache replacement technique for mobile networks based on genetic programming
SaadMohamedDarwish.html
AdelEl-Zoghabi.html
AmrGEl-Shnawy.html
http___dx.doi.org_10.1049_iet-net.2017.0261 http://dx.doi.org/10.1049/iet-net.2017.0261
Darwish:2018:ijcomsys An intelligent database proactive cache replacement policy for mobile communication system based on genetic programming
SaadMohamedDarwish.html
AmrGEl-Shnawy.html
http___dx.doi.org_10.1002_dac.3536 http://dx.doi.org/10.1002/dac.3536
DARWISH:2019:CILS Chemometrics approach for the prediction of chemical compounds' toxicity degree based on quantum inspired optimization with applications in drug discovery
SaadMohamedDarwish.html
TamerAShendi.html
AhmedYounes.html
http___dx.doi.org_10.1016_j.chemolab.2019.103826 http://dx.doi.org/10.1016/j.chemolab.2019.103826
http___www.sciencedirect.com_science_article_pii_S0169743918305495 http://www.sciencedirect.com/science/article/pii/S0169743918305495
DBLP:journals/es/DarwishSY19 Quantum-inspired genetic programming model with application to predict toxicity degree for chemical compounds
SaadMohamedDarwish.html
TamerAShendi.html
AhmedYounes.html
https___doi.org_10.1111_exsy.12415 https://doi.org/10.1111/exsy.12415
http___dx.doi.org_10.1111_exsy.12415 http://dx.doi.org/10.1111/exsy.12415
https___dblp.org_rec_journals_es_DarwishSY19.bib https://dblp.org/rec/journals/es/DarwishSY19.bib
Das:thesis Analyses of Crash Occurrence and Injury Severities on Multi Lane Highways using Machine Learning Algorithms
AbhishekDas.html
http___www.cecs.ucf.edu_graddefense_pdf_10 http://www.cecs.ucf.edu/graddefense/pdf/10
http___purl.fcla.edu_fcla_etd_CFE0002928 http://purl.fcla.edu/fcla/etd/CFE0002928
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AbhishekDas.html
MohamedAAbdel-Aty.html
AnuragPande.html
http___trb.metapress.com_content_52881hl17685547l_fulltext.pdf http://trb.metapress.com/content/52881hl17685547l/fulltext.pdf
http___dx.doi.org_10.3141_2147-04 http://dx.doi.org/10.3141/2147-04
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AbhishekDas.html
MohamedAAbdel-Aty.html
http___dx.doi.org_10.1016_j.aap.2009.09.021 http://dx.doi.org/10.1016/j.aap.2009.09.021
http___www.sciencedirect.com_science_article_B6V5S-4XFXSWB-3_2_d3dd6df818f461070f758ebe4fb9f1f3 http://www.sciencedirect.com/science/article/B6V5S-4XFXSWB-3/2/d3dd6df818f461070f758ebe4fb9f1f3
Das2011 A combined frequency-severity approach for the analysis of rear-end crashes on urban arterials
AbhishekDas.html
MohamedAAbdel-Aty.html
http___dx.doi.org_10.1016_j.ssci.2011.03.007 http://dx.doi.org/10.1016/j.ssci.2011.03.007
http___www.sciencedirect.com_science_article_B6VF9-52T1BCG-2_2_dbc605442a050a3d5a59a825025f0f40 http://www.sciencedirect.com/science/article/B6VF9-52T1BCG-2/2/dbc605442a050a3d5a59a825025f0f40
Angan:Das:thesis Algorithms for Topology Synthesis of Analog Circuits
AnganDas.html
https___etd.ohiolink.edu__etd.send_file_accession_ucin1227204301.pdf https://etd.ohiolink.edu/!etd.send_file?accession=ucin1227204301.pdf
http___rave.ohiolink.edu_etdc_view_acc_num_ucin1227204301 http://rave.ohiolink.edu/etdc/view?acc_num=ucin1227204301
Das:2009:DATE A graph grammar based approach to automated multi-objective analog circuit design
AnganDas.html
RangaVemuri.html
http___ieeexplore.ieee.org_search_srchabstract.jsp_tp__arnumber_5090755 http://ieeexplore.ieee.org/search/srchabstract.jsp?tp=&arnumber=5090755
http___dx.doi.org_10.1109_DATE.2009.5090755 http://dx.doi.org/10.1109/DATE.2009.5090755
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KamalikaDas.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_Das_2017_NASAmlw.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/Das_2017_NASAmlw.pdf
Das:2011:PACC Genetic Algorithm Based Improved Sub-Optimal Model Reduction in Nyquist Plane for Optimal Tuning Rule Extraction of PID and PI$^\lambda$D$^\mu$ Controllers via Genetic Programming
SaptarshiDas.html
IndranilPan.html
ShantanuDas.html
AmitavaGupta.html
http___dx.doi.org_10.1109_PACC.2011.5978962 http://dx.doi.org/10.1109/PACC.2011.5978962
http___arxiv.org_abs_1202.5686 http://arxiv.org/abs/1202.5686
http___arxiv.org_pdf_1202.5686v1 http://arxiv.org/pdf/1202.5686v1
Das2012237 Improved Model Reduction and Tuning of Fractional Order PI$\lambda$D$\mu$ Controllers for Analytical Rule Extraction with Genetic Programming
SaptarshiDas.html
IndranilPan.html
ShantanuDas.html
AmitavaGupta.html
http___dx.doi.org_10.1016_j.isatra.2011.10.004 http://dx.doi.org/10.1016/j.isatra.2011.10.004
http___www.sciencedirect.com_science_article_pii_S0019057811001194 http://www.sciencedirect.com/science/article/pii/S0019057811001194
http___arxiv.org_abs_1202.5683 http://arxiv.org/abs/1202.5683
http___arxiv.org_pdf_1202.5683v1 http://arxiv.org/pdf/1202.5683v1
das:2013:ISEUSAM Probability-Based Method for Assessing Liquefaction Potential of Soil Using Genetic Programming
SaratKumarDas.html
PradyutKumarMuduli.html
http___link.springer.com_chapter_10.1007_978-81-322-0757-3_80 http://link.springer.com/chapter/10.1007/978-81-322-0757-3_80
http___dx.doi.org_10.1007_978-81-322-0757-3_80 http://dx.doi.org/10.1007/978-81-322-0757-3_80
Das:2018:handsonML Hands-On Automated Machine Learning
SibanjanDas.html
UmitMertCakmak.html
https___www.amazon.co.uk_Hands-Automated-Machine-Learning-beginners_dp_1788629892 https://www.amazon.co.uk/Hands-Automated-Machine-Learning-beginners/dp/1788629892
https___www.oreilly.com_library_view_hands-on-automated-machine_9781788629898_a8e93e6e-656d-4796-9bf0-f6e9206de316.xhtml https://www.oreilly.com/library/view/hands-on-automated-machine/9781788629898/a8e93e6e-656d-4796-9bf0-f6e9206de316.xhtml
https___github.com_PacktPublishing_Hands-On-Automated-Machine-Learning https://github.com/PacktPublishing/Hands-On-Automated-Machine-Learning
das:GPVR A genetic programming application in virtual reality
SumitDas.html
TerryFranguidakis.html
MichaelEPapka.html
ThomasADeFanti.html
DanielJSandin.html
http___citeseer.ist.psu.edu_cache_papers_cs_797_http_zSzzSzwww.evl.uic.eduzSzEVLzSzRESEARCHzSzPAPERSzSzPAPKAzSzgp94.pdf_a-genetic-programming-application.pdf http://citeseer.ist.psu.edu/cache/papers/cs/797/http:zSzzSzwww.evl.uic.eduzSzEVLzSzRESEARCHzSzPAPERSzSzPAPKAzSzgp94.pdf/a-genetic-programming-application.pdf
http___citeseer.ist.psu.edu_8701.html http://citeseer.ist.psu.edu/8701.html
Dasgupta:2006:Homeland Computational Intelligence in Cyber Security
DipankarDasgupta.html
http___dx.doi.org_10.1109_CIHSPS.2006.313289 http://dx.doi.org/10.1109/CIHSPS.2006.313289
DASGUPTA:2021:CMPB Is Human Walking a Network Medicine Problem? An Analysis Using Symbolic Regression Models with Genetic Programming
PritikaDasgupta.html
JamesAlexanderHughes.html
MarkDaley.html
ErvinSejdic.html
http___dx.doi.org_10.1016_j.cmpb.2021.106104 http://dx.doi.org/10.1016/j.cmpb.2021.106104
https___www.sciencedirect.com_science_article_pii_S0169260721001796 https://www.sciencedirect.com/science/article/pii/S0169260721001796
Dash:2020:GI Checkers: Multi-modal Darwinian API Optimisation
SantanuKumarDash.html
FanWu.html
MichailBasios.html
LingboLi.html
LeslieKanthan.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_gi2020_Dash_2020_GI.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/gi2020/Dash_2020_GI.pdf
https___youtu.be_GsNKCifm44A https://youtu.be/GsNKCifm44A
http___dx.doi.org_10.1145_3387940.3392173 http://dx.doi.org/10.1145/3387940.3392173
DASHTI:2018:IJHE Accurate prediction of solubility of gases within H2-selective nanocomposite membranes using committee machine intelligent system
AmirDashti.html
HosseinRiasatHarami.html
MashallahRezakazemi.html
http___dx.doi.org_10.1016_j.ijhydene.2018.02.046 http://dx.doi.org/10.1016/j.ijhydene.2018.02.046
http___www.sciencedirect.com_science_article_pii_S0360319918304245 http://www.sciencedirect.com/science/article/pii/S0360319918304245
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SohrabZendehboudi.html
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http___dx.doi.org_10.1016_j.cherd.2019.01.019 http://dx.doi.org/10.1016/j.cherd.2019.01.019
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MojtabaRaji.html
AbouzarAzarafza.html
MashallahRezakazemi.html
SaeedShirazian.html
http___link.springer.com_article_10.1007_s13369-020-04783-1 http://link.springer.com/article/10.1007/s13369-020-04783-1
http___dx.doi.org_10.1007_s13369-020-04783-1 http://dx.doi.org/10.1007/s13369-020-04783-1
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MojtabaJokar.html
FaridAmirkhani.html
AmirHMohammadi.html
http___dx.doi.org_10.1016_j.molliq.2019.111797 http://dx.doi.org/10.1016/j.molliq.2019.111797
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AbolfazlSajadiNoushabadi.html
JavadAsadi.html
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AbdoulmohammadGholamzadehChofreh.html
JiriJaromirKlemes.html
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http___dx.doi.org_10.1016_j.rser.2021.111591 http://dx.doi.org/10.1016/j.rser.2021.111591
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OmidMazaheri.html
FaridAmirkhani.html
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http___dx.doi.org_10.1016_j.energy.2020.119292 http://dx.doi.org/10.1016/j.energy.2020.119292
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MojtabaRaji.html
HosseinRiasatHarami.html
JohnLZhou.html
MortezaAsghari.html
http___dx.doi.org_10.1016_j.seppur.2023.123399 http://dx.doi.org/10.1016/j.seppur.2023.123399
https___www.sciencedirect.com_science_article_pii_S1383586623003076 https://www.sciencedirect.com/science/article/pii/S1383586623003076
daSilva:2000:ewbss Evolutionary Wavelet Bases in Signal Spaces
ArlindoFerreiradaSilva.html
http___dx.doi.org_10.1007_3-540-45561-2_5 http://dx.doi.org/10.1007/3-540-45561-2_5
daSilva:2000:GECCO Genetic Algorithms for Component Analysis
ArlindoFerreiradaSilva.html
http___gpbib.cs.ucl.ac.uk_gecco2000_GA050.pdf http://gpbib.cs.ucl.ac.uk/gecco2000/GA050.pdf
http___gpbib.cs.ucl.ac.uk_gecco2000_GA050.ps http://gpbib.cs.ucl.ac.uk/gecco2000/GA050.ps
Silva:2002:AoECiEPS Applications of Evolutionary Computation in Electric Power Systems
AlexandrePintoAlvesdaSilva.html
PedroJoseAbrao.html
http___dx.doi.org_10.1109_CEC.2002.1004389 http://dx.doi.org/10.1109/CEC.2002.1004389
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AndreTavaresdaSilva.html
JeferssonAlexdosSantos.html
AlexandreXFalcao.html
RicardodaSilvaTorres.html
LeoPiniMagalhaes.html
http___dx.doi.org_10.1016_j.cviu.2011.12.001 http://dx.doi.org/10.1016/j.cviu.2011.12.001
http___www.sciencedirect.com_science_article_pii_S107731421100261X http://www.sciencedirect.com/science/article/pii/S107731421100261X
Tese-Andre_Tavares_da_Silva Recuperacao de imagens por conteudo baseada em realimentacao de relevancia e classificador por floresta de caminhos otimos
AndreTavaresdaSilva.html
https___hdl.handle.net_20.500.12733_1616039 https://hdl.handle.net/20.500.12733/1616039
https___bdtd.ibict.br_vufind_Record_UNICAMP-30_755750f6a29697ba188c0c2adb340442 https://bdtd.ibict.br/vufind/Record/UNICAMP-30_755750f6a29697ba188c0c2adb340442
https___www.dca.fee.unicamp.br__leopini_private_teses-pdf_Tese-Andre_Tavares_da_Silva.pdf https://www.dca.fee.unicamp.br/~leopini/private/teses-pdf/Tese-Andre_Tavares_da_Silva.pdf
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CleberACFdaSilva.html
DanielCarneiroRosa.html
PericlesBarbosaMiranda.html
FilipeRolimCordeiro.html
TapasSi.html
AndreCANascimento.html
RafaelFLMello.html
PauloSGdeMattosNeto.html
http___dx.doi.org_10.1109_CEC45853.2021.9504822 http://dx.doi.org/10.1109/CEC45853.2021.9504822
daSilva:thesis Programacao Genetica Macicamente Paralela em GPUsMassively Parallel Genetic Programming on GPUs
CleomarPereiradaSilva.html
http___doi.org_10.17771_PUCRio.acad.24129 http://doi.org/10.17771/PUCRio.acad.24129
http___www.maxwell.vrac.puc-rio.br_24129_24129_1.PDF http://www.maxwell.vrac.puc-rio.br/24129/24129_1.PDF
http___www.maxwell.vrac.puc-rio.br_24129_24129_2.PDF http://www.maxwell.vrac.puc-rio.br/24129/24129_2.PDF
http___www.maxwell.vrac.puc-rio.br_24129_24129_3.PDF http://www.maxwell.vrac.puc-rio.br/24129/24129_3.PDF
http___www.maxwell.vrac.puc-rio.br_24129_24129_4.PDF http://www.maxwell.vrac.puc-rio.br/24129/24129_4.PDF
http___www.maxwell.vrac.puc-rio.br_24129_24129_5.PDF http://www.maxwell.vrac.puc-rio.br/24129/24129_5.PDF
http___www.maxwell.vrac.puc-rio.br_24129_24129_6.PDF http://www.maxwell.vrac.puc-rio.br/24129/24129_6.PDF
http___www.maxwell.vrac.puc-rio.br_24129_24129_7.PDF http://www.maxwell.vrac.puc-rio.br/24129/24129_7.PDF
http___www.maxwell.vrac.puc-rio.br_24129_24129_8.PDF http://www.maxwell.vrac.puc-rio.br/24129/24129_8.PDF
http___www.maxwell.vrac.puc-rio.br_24129_24129_9.PDF http://www.maxwell.vrac.puc-rio.br/24129/24129_9.PDF
http___www.maxwell.vrac.puc-rio.br_24129_24129_10.PDF http://www.maxwell.vrac.puc-rio.br/24129/24129_10.PDF
http___www.maxwell.vrac.puc-rio.br_24129_24129_11.PDF http://www.maxwell.vrac.puc-rio.br/24129/24129_11.PDF
JMLR:v16:dasilva15a Evolving GPU Machine Code
CleomarPereiradaSilva.html
DouglasMotaDias.html
CristianaBentes.html
MarcoAurelioCavalcantiPacheco.html
LeandroFontouraCupertino.html
http___jmlr.org_papers_v16_dasilva15a.html http://jmlr.org/papers/v16/dasilva15a.html
http___jmlr.org_papers_volume16_dasilva15a_dasilva15a.pdf http://jmlr.org/papers/volume16/dasilva15a/dasilva15a.pdf
daSilva:2015:CEE Use of graphics processing units for automatic synthesis of programs
CleomarPereiradaSilva.html
DouglasMotaDias.html
CristianaBentes.html
MarcoAurelioCavalcantiPacheco.html
http___dx.doi.org_10.1016_j.compeleceng.2015.04.006 http://dx.doi.org/10.1016/j.compeleceng.2015.04.006
http___www.sciencedirect.com_science_article_pii_S0045790615001342 http://www.sciencedirect.com/science/article/pii/S0045790615001342
daSilva:2018:BRACIS Cartesian Genetic Programming with Crossover for Designing Combinational Logic Circuits
JoseEduardoHenriquesdaSilva.html
HederSoaresBernardino.html
http___dx.doi.org_10.1109_BRACIS.2018.00033 http://dx.doi.org/10.1109/BRACIS.2018.00033
DBLP:conf/epia/SilvaB19 A 3-Step Cartesian Genetic Programming for Designing Combinational Logic Circuits with Multiplexers
JoseEduardoHenriquesdaSilva.html
HederSoaresBernardino.html
https___doi.org_10.1007_978-3-030-30241-2_63 https://doi.org/10.1007/978-3-030-30241-2_63
http___dx.doi.org_10.1007_978-3-030-30241-2_63 http://dx.doi.org/10.1007/978-3-030-30241-2_63
https___dblp.org_rec_conf_epia_SilvaB19.bib https://dblp.org/rec/conf/epia/SilvaB19.bib
DBLP:conf/mod/SilvaSB19 Cartesian Genetic Programming with Guided and Single Active Mutations for Designing Combinational Logic Circuits
JoseEduardoHenriquesdaSilva.html
LucasAugustoMullerdeSouza.html
HederSoaresBernardino.html
https___doi.org_10.1007_978-3-030-37599-7_33 https://doi.org/10.1007/978-3-030-37599-7_33
http___dx.doi.org_10.1007_978-3-030-37599-7_33 http://dx.doi.org/10.1007/978-3-030-37599-7_33
https___dblp.org_rec_conf_mod_SilvaSB19.bib https://dblp.org/rec/conf/mod/SilvaSB19.bib
da-Silva:2020:CEC Inferring Gene Regulatory Network Models from Time-Series Data Using Metaheuristics
JoseEduardoHenriquesdaSilva.html
HederSoaresBernardino.html
HelioJCBarbosa.html
AlexBorgesVieira.html
LucianaConceicaoDiasCampos.html
ItamarLeitedeOliveira.html
http___dx.doi.org_10.1109_CEC48606.2020.9185572 http://dx.doi.org/10.1109/CEC48606.2020.9185572
daSilvaPraxedes:2014:GECCO Lithology discrimination using seismic elastic attributes: a genetic fuzzy classifier approach
EricdaSilvaPraxedes.html
AdrianoSoaresKoshiyama.html
ElitaSelmaraAbreu.html
DouglasMotaDias.html
MarleyMariaBernardesRebuzziVellasco.html
MarcoAurelioCavalcantiPacheco.html
http___doi.acm.org_10.1145_2576768.2598319 http://doi.acm.org/10.1145/2576768.2598319
http___dx.doi.org_10.1145_2576768.2598319 http://dx.doi.org/10.1145/2576768.2598319
DASILVAVELLASCO:2017:MSCS Chapter Four - Computational Intelligence Modelling
PedroColmarGoncalvesdaSilvaVellasco.html
LucianoRodriguesOrnelasdeLima.html
SebastiaoArthurLopesdeAndrade.html
MarleyMariaBernardesRebuzziVellasco.html
LuisAlbertoProencaSimoesdaSilva.html
http___dx.doi.org_10.1016_B978-0-12-813526-6.00004-0 http://dx.doi.org/10.1016/B978-0-12-813526-6.00004-0
http___www.sciencedirect.com_science_article_pii_B9780128135266000040 http://www.sciencedirect.com/science/article/pii/B9780128135266000040
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EyalDassau.html
BenyaminGrosman.html
DanielRLewin.html
http___tx.technion.ac.il__dlewin_publications_rtp_paper_v9.pdf http://tx.technion.ac.il/~dlewin/publications/rtp_paper_v9.pdf
http___dx.doi.org_10.1016_j.compchemeng.2005.11.007 http://dx.doi.org/10.1016/j.compchemeng.2005.11.007
DAssuncao:2020:SBG Procedural texture generation based on Genetic Programming
ViniciusMagalhaesD'Assuncao.html
FlavioRobertoDosSantosCoutinho.html
https___www.sbgames.org_proceedings2020_ComputacaoShort_209325.pdf https://www.sbgames.org/proceedings2020/ComputacaoShort/209325.pdf
dastani:2001:gecco Finding Perceived Pattern Structures using Genetic Programming
MehdiDastani.html
ElenaMarchiori.html
RobertVoorn.html
http___gpbib.cs.ucl.ac.uk_gecco2001_d01.pdf http://gpbib.cs.ucl.ac.uk/gecco2001/d01.pdf
http___people.cs.uu.nl_mehdi_publication_Gecco01.ps http://people.cs.uu.nl/mehdi/publication/Gecco01.ps
http___dl.acm.org_citation.cfm_id_2955239.2955240 http://dl.acm.org/citation.cfm?id=2955239.2955240
Dastgeer:2011:IWMSE Auto-tuning SkePU: A Multi-backend Skeleton Programming Framework for multi-GPU Systems
UsmanDastgeer.html
JohanEnmyren.html
ChristophWKessler.html
http___doi.acm.org_10.1145_1984693.1984697 http://doi.acm.org/10.1145/1984693.1984697
http___dx.doi.org_10.1145_1984693.1984697 http://dx.doi.org/10.1145/1984693.1984697
Datta:2014:EVOLVE Application of Genetic Programming Models Incorporated in Optimization Models for Contaminated Groundwater Systems Management
BithinDatta.html
OmPrakash.html
JanardhananSreekanth.html
http___dx.doi.org_10.1007_978-3-319-07494-8_13 http://dx.doi.org/10.1007/978-3-319-07494-8_13
DATTA:2018:ISPSE Developing Non-linear Rate Constant QSPR using Decision Trees and Multi-Gene Genetic Programming
ShounakDatta.html
VikrantADev.html
MarioREden.html
http___dx.doi.org_10.1016_B978-0-444-64241-7.50407-9 http://dx.doi.org/10.1016/B978-0-444-64241-7.50407-9
http___www.sciencedirect.com_science_article_pii_B9780444642417504079 http://www.sciencedirect.com/science/article/pii/B9780444642417504079
conf/mum/DauSSHH14 Phone based fall detection by genetic programming
AnhHoangDau.html
FloraSalim.html
AndySong.html
LachlanHedin.html
MargaretHamilton.html
http___dl.acm.org_citation.cfm_id_2677972 http://dl.acm.org/citation.cfm?id=2677972
http___dx.doi.org_10.1145_2677972.2678010 http://dx.doi.org/10.1145/2677972.2678010
conf/seal/DauSXSC14 Genetic Programming for Channel Selection from Multi-stream Sensor Data with Application on Learning Risky Driving Behaviours
AnhHoangDau.html
AndySong.html
FengXie.html
FloraSalim.html
VictorCiesielski.html
http___dx.doi.org_10.1007_978-3-319-13563-2 http://dx.doi.org/10.1007/978-3-319-13563-2
dautenhahn:2002:GPEM Book Review: Swarm Intelligence
KerstinDautenhahn.html
http___dx.doi.org_10.1023_A_1014827205360 http://dx.doi.org/10.1023/A:1014827205360
daVeigaCabral:2011:NaBIC Evaluating an outlier generation method for training tree-based Genetic Programming applied to one-class classification
RafaelValenteVeiga.html
EduardoJSpinosa.html
http___dx.doi.org_10.1109_NaBIC.2011.6089468 http://dx.doi.org/10.1109/NaBIC.2011.6089468
davenport:1999:RIURPR Rule Induction Using a Reverse Polish Representation
GuyFDavenport.html
MDRyan.html
VJRayward-Smith.html
http___gpbib.cs.ucl.ac.uk_gecco1999_GP-433.pdf http://gpbib.cs.ucl.ac.uk/gecco1999/GP-433.pdf
http___gpbib.cs.ucl.ac.uk_gecco1999_GP-433.ps http://gpbib.cs.ucl.ac.uk/gecco1999/GP-433.ps
davidson:1999:snr:htpa Symbolic and numerical regression: a hybrid technique for polynomial approximators
JWDavidson.html
DraganSavic.html
GodfreyAWalters.html
http___www.amazon.com_exec_obidos_ASIN_3790812579_o_qid_953125875_sr_2-1_103-9581855-0507860 http://www.amazon.com/exec/obidos/ASIN/3790812579/o/qid=953125875/sr=2-1/103-9581855-0507860
davidson:1999:miepfftpf Method for the identification of explicit polynomial formulae for the friction in turbulent pipe flow
JWDavidson.html
DraganSavic.html
GodfreyAWalters.html
http___www.iwaponline.com_jh_001_0115_0010115.pdf http://www.iwaponline.com/jh/001/0115/0010115.pdf
http___dx.doi.org_10.2166_hydro.1999.0010 http://dx.doi.org/10.2166/hydro.1999.0010
davidson:1999:ac-wfohrm Approximators for the Colebrook-White Formula Obtained through a Hybrid Regression Method
JWDavidson.html
DraganSavic.html
GodfreyAWalters.html
https___books.google.co.uk_books_about_Computational_Methods_in_Water_Resources.html_id_Neu9NAEACAAJ_redir_esc_y https://books.google.co.uk/books/about/Computational_Methods_in_Water_Resources.html?id=Neu9NAEACAAJ&redir_esc=y
davidson:2000:rrmunprm Rainfall Runoff Modeling Using a New Polynomial Regression Method
JWDavidson.html
DraganSavic.html
GodfreyAWalters.html
http___members.iahr.org_core_orders_product.aspx_catid_3_prodid_47 http://members.iahr.org/core/orders/product.aspx?catid=3&prodid=47
davidson:2000:snrea Symbolic and numerical regression: experiments and applications
JWDavidson.html
DraganSavic.html
GodfreyAWalters.html
http___buch.archinform.net_isbn_3-7908-1361-3.htm http://buch.archinform.net/isbn/3-7908-1361-3.htm
http___www.amazon.com_gp_product_3790813613 http://www.amazon.com/gp/product/3790813613
http___dx.doi.org_10.1007_978-3-7908-1829-1_21 http://dx.doi.org/10.1007/978-3-7908-1829-1_21
davidson:2003:IS Symbolic and numerical regression: Experiments and applications
JWDavidson.html
DraganSavic.html
GodfreyAWalters.html
http___dx.doi.org_10.1016_S0020-0255_02_00371-7 http://dx.doi.org/10.1016/S0020-0255(02)00371-7
http___www.sciencedirect.com_science_article_B6V0C-474DD2V-1_2_3368220198ea15f93a793594af73d8d1 http://www.sciencedirect.com/science/article/B6V0C-474DD2V-1/2/3368220198ea15f93a793594af73d8d1
Davies:2000:AEMB Efficient improvement of silage additives by using genetic algorithms
ZoeSDavies.html
RichardJGilbert.html
RogerJMerry.html
DouglasBKell.html
MichaelKTheodorou.html
GarethWGriffith.html
https___europepmc.org_backend_ptpmcrender.fcgi_accid_PMC92005_blobtype_pdf https://europepmc.org/backend/ptpmcrender.fcgi?accid=PMC92005&blobtype=pdf
http___dx.doi.org_10.1128_aem.66.4.1435-1443.2000 http://dx.doi.org/10.1128/aem.66.4.1435-1443.2000
Davila:2015:GECCOcomp An Empirical Comparison of Genetically Evolved Programs and Evolved Neural Networks for Multi-agent Systems Operating under Dynamic Environments
JaimeJDavila.html
http___doi.acm.org_10.1145_2739482.2764717 http://doi.acm.org/10.1145/2739482.2764717
http___dx.doi.org_10.1145_2739482.2764717 http://dx.doi.org/10.1145/2739482.2764717
davis:1994:spec Single Populations v. Co-Evolution
JamesDavis.html
Davis:Nfs:06 Novel feature selection method for genetic programming using metabolomic 1H NMR data
RichardADavis.html
AdrianJCharlton.html
SarahOehlschlager.html
JulieCWilson.html
http___dx.doi.org_10.1016_j.chemolab.2005.09.006 http://dx.doi.org/10.1016/j.chemolab.2005.09.006
Davydov:2009:INCOM Application of Genetic Programming for Generation of Controllers Represented by Automata
AndreyDavydov.html
DmitrySokolov.html
FedorTsarev.html
AnatolyAbramovichShalyto.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.557.8188 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.557.8188
http___is.ifmo.ru_articles_en__ifac-2009.pdf http://is.ifmo.ru/articles_en/_ifac-2009.pdf
https___ifac.papercept.net_conferences_scripts_abstract.pl_ConfID_8_Number_385 https://ifac.papercept.net/conferences/scripts/abstract.pl?ConfID=8&Number=385
day:2002:AEM Differentiation of Phytophthora infestans Sporangia from Other Airborne Biological Particles by Flow Cytometry
JenniferPDay.html
DouglasBKell.html
GarethWGriffith.html
http___intl-aem.asm.org_cgi_reprint_68_1_37.pdf http://intl-aem.asm.org/cgi/reprint/68/1/37.pdf
http___dx.doi.org_10.1128_AEM.68.1.37-45.2002 http://dx.doi.org/10.1128/AEM.68.1.37-45.2002
Day:thesis Advances in genetic programming with applications in speech and audio
PeterDay.html
https___library.liv.ac.uk_record_b2011018_S8 https://library.liv.ac.uk/record=b2011018~S8
http___ethos.bl.uk_OrderDetails.do_did_1_uin_uk.bl.ethos.428373 http://ethos.bl.uk/OrderDetails.do?did=1&uin=uk.bl.ethos.428373
Day:2007:ASLP Robust Text-Independent Speaker Verification Using Genetic Programming
PeterDay.html
AsokeKNandi.html
http___dx.doi.org_10.1109_TASL.2006.876765 http://dx.doi.org/10.1109/TASL.2006.876765
Day:2008:MLSP Sunspot prediction using genetic programming augmented by Binary String Fitness Characterisation and Comparative Partner Selection
PeterDay.html
AsokeKNandi.html
http___dx.doi.org_10.1109_MLSP.2008.4685475 http://dx.doi.org/10.1109/MLSP.2008.4685475
Day:2008:TEC Binary String Fitness Characterization and Comparative Partner Selection in Genetic Programming
PeterDay.html
AsokeKNandi.html
http___dx.doi.org_10.1109_TEVC.2008.917201 http://dx.doi.org/10.1109/TEVC.2008.917201
http___results.ref.ac.uk_Submissions_Output_832803 http://results.ref.ac.uk/Submissions/Output/832803
day:2010:Chiong Genetic Programming for Robust Text Independent Speaker Verification
PeterDay.html
AsokeKNandi.html
http___www.igi-global.com_Bookstore_Chapter.aspx_TitleId_36319 http://www.igi-global.com/Bookstore/Chapter.aspx?TitleId=36319
http___dx.doi.org_10.4018_978-1-60566-705-8 http://dx.doi.org/10.4018/978-1-60566-705-8
journals/es/DayN11 Evolution of superFeatures through genetic programming
PeterDay.html
AsokeKNandi.html
http___dx.doi.org_10.1111_j.1468-0394.2010.00547.x http://dx.doi.org/10.1111/j.1468-0394.2010.00547.x
Dayik:2007:JTI Control of warp tension during weaving procedure using evaluation programming
MehmetDayik.html
MehmetCengizKayacan.html
HakanCalis.html
EnesCakmak.html
http___dx.doi.org_10.1533_joti.2005.0132 http://dx.doi.org/10.1533/joti.2005.0132
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PinhodeAguiar.html
KellyLuciaNazareth.html
LuizCarlosMagalhaesPalermo.html
ClaudiaReginaEliasMansur.html
https___ogst.ifpenergiesnouvelles.fr_articles_ogst_pdf_2021_01_ogst210005.pdf https://ogst.ifpenergiesnouvelles.fr/articles/ogst/pdf/2021/01/ogst210005.pdf
https___hal.archives-ouvertes.fr_hal-03362664 https://hal.archives-ouvertes.fr/hal-03362664
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http___dx.doi.org_10.2516_ogst_2021044 http://dx.doi.org/10.2516/ogst/2021044
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MatteoDeCarlo.html
EliseoFerrante.html
JacinthaEllers.html
GerbenMeynen.html
GuszEiben.html
https___rdcu.be_c8U3U https://rdcu.be/c8U3U
http___dx.doi.org_10.1007_978-3-031-29573-7_22 http://dx.doi.org/10.1007/978-3-031-29573-7_22
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MarinaMiguelDelaCruzLopez.html
CarlosCervigonRuckauer.html
JorgeAlvarado.html
MartaBotella-Serrano.html
JoseIgnacioHidalgoPerez.html
https___human-competitive.org_sites_default_files_humies_hidalgo.txt https://human-competitive.org/sites/default/files/humies_hidalgo.txt
https___human-competitive.org_sites_default_files_postable_version_2022_wccic_marina.pdf https://human-competitive.org/sites/default/files/postable_version_2022_wccic_marina.pdf
http___dx.doi.org_10.1109_CEC55065.2022.9870380 http://dx.doi.org/10.1109/CEC55065.2022.9870380
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MarinaMiguelDelaCruzLopez.html
OscarGarnica.html
JoseIgnacioHidalgoPerez.html
http___dx.doi.org_10.1145_3583133.3596944 http://dx.doi.org/10.1145/3583133.3596944
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AllanDeLima.html
SamuelCarvalho.html
DouglasMotaDias.html
JoeSullivan.html
ConorRyan.html
http___dx.doi.org_10.1145_3583133.3590680 http://dx.doi.org/10.1145/3583133.3590680
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JoaoVictorTinocoDeSouzaAbreu.html
DenisMayrLimaMartins.html
FernandoBuarquedeLimaNeto.html
http___dx.doi.org_10.1109_SSCI51031.2022.10022164 http://dx.doi.org/10.1109/SSCI51031.2022.10022164
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AnthonyGDeakin.html
DerekFYates.html
http___www.liv.ac.uk__anthonyd_gp9632.ps http://www.liv.ac.uk/~anthonyd/gp9632.ps
http___cognet.mit.edu_sites_default_files_books_9780262315876_pdfs_9780262315876_chap59.pdf http://cognet.mit.edu/sites/default/files/books/9780262315876/pdfs/9780262315876_chap59.pdf
http___cognet.mit.edu_library_books_view_isbn_0262611279 http://cognet.mit.edu/library/books/view?isbn=0262611279
Deakin:1997:esGP Economical Solutions with Genetic Programming: the Non-Hamstrung Squadcar Problem, FvM and EHP
AnthonyGDeakin.html
DerekFYates.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_gp1997_Deakin_1997_esGP.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/gp1997/Deakin_1997_esGP.pdf
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AnthonyGDeakin.html
DerekFYates.html
http___dx.doi.org_10.1007_BFb0027180 http://dx.doi.org/10.1007/BFb0027180
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AnthonyGDeakin.html
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http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_gp1998_deakin_1998_eoaasGP.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/gp1998/deakin_1998_eoaasGP.pdf
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GustavoMaiadeAlmeida.html
ValceresVieiraRochaeSilva.html
EriveltonGeraldoNepomuceno.html
RyuichiYokoyama.html
http___dx.doi.org_10.1007_11539902_37 http://dx.doi.org/10.1007/11539902_37
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HumbertoMossrideAlmeida.html
MarcosAndreGoncalves.html
MarcoCristo.html
PavelPereiraCalado.html
http___dx.doi.org_10.1145_1277741.1277810 http://dx.doi.org/10.1145/1277741.1277810
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FabiodeAlmeidaFarzat.html
MarciodeOliveiraBarros.html
GuilhermeHortaTravassos.html
http___dx.doi.org_10.1186_s40411-018-0056-2 http://dx.doi.org/10.1186/s40411-018-0056-2
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FabiodeAlmeidaFarzat.html
https___www.cos.ufrj.br_index.php_en_publicacoes-pesquisa_details_20_2889 https://www.cos.ufrj.br/index.php/en/publicacoes-pesquisa/details/20/2889
https___www.cos.ufrj.br_uploadfile_publicacao_2889.pdf https://www.cos.ufrj.br/uploadfile/publicacao/2889.pdf
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FabiodeAlmeidaFarzat.html
MarciodeOliveiraBarros.html
GuilhermeHortaTravassos.html
http___dx.doi.org_10.1109_TSE.2019.2928293 http://dx.doi.org/10.1109/TSE.2019.2928293
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AndredeAlmeidaFarzat.html
MarciodeOliveiraBarros.html
https___rdcu.be_cyKF8 https://rdcu.be/cyKF8
http___dx.doi.org_10.1007_s10710-021-09411-x http://dx.doi.org/10.1007/s10710-021-09411-x
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WaldirJALobao.html
MarcoAurelioCavalcantiPacheco.html
DouglasMotaDias.html
AnaCarolinaAlvesAbreu.html
https___www.sciencedirect.com_science_article_pii_S0952197617302749 https://www.sciencedirect.com/science/article/pii/S0952197617302749
http___dx.doi.org_10.1016_j.engappai.2017.10.021 http://dx.doi.org/10.1016/j.engappai.2017.10.021
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LuisFilipedeAraujoPessoa.html
BerndHellingrath.html
FernandoBuarquedeLimaNeto.html
http___dx.doi.org_10.1109_CEC.2019.8789892 http://dx.doi.org/10.1109/CEC.2019.8789892
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LuisFilipedeAraujoPessoa.html
BerndHellingrath.html
FernandoBuarquedeLimaNeto.html
https___doi.org_10.1145_3377929.3398142 https://doi.org/10.1145/3377929.3398142
http___dx.doi.org_10.1145_3377929.3398142 http://dx.doi.org/10.1145/3377929.3398142
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MarconideArrudaPereira.html
ClodoveuAugustoDavisJunior.html
JoaoAntoniodeVasconcelos.html
http___dx.doi.org_10.1007_978-3-642-17298-4 http://dx.doi.org/10.1007/978-3-642-17298-4
http___dx.doi.org_10.1007_978-3-642-17298-4_27 http://dx.doi.org/10.1007/978-3-642-17298-4_27
deArrudaPereira:2014:Neurocomputing A niching genetic programming-based multi-objective algorithm for hybrid data classification
MarconideArrudaPereira.html
ClodoveuAugustoDavisJunior.html
EduardoGontijoCarrano.html
JoaoAntoniodeVasconcelos.html
http___dx.doi.org_10.1016_j.neucom.2013.12.048 http://dx.doi.org/10.1016/j.neucom.2013.12.048
http___www.sciencedirect.com_science_article_pii_S0925231214001404 http://www.sciencedirect.com/science/article/pii/S0925231214001404
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MarconideArrudaPereira.html
EduardoGontijoCarrano.html
ClodoveuAugustoDavisJunior.html
JoaoAntoniodeVasconcelos.html
http___link.springer.com_article_10.1007_s00500-017-2836-8 http://link.springer.com/article/10.1007/s00500-017-2836-8
http___dx.doi.org_10.1007_s00500-017-2836-8 http://dx.doi.org/10.1007/s00500-017-2836-8
deAssis:2013:WebMedia Using Genetic Programming to Detect Fraud in Electronic Transactions
CarlosASdeAssis.html
AdrianoCMachadoPereira.html
MarconideArrudaPereira.html
EduardoGontijoCarrano.html
http___doi.acm.org_10.1145_2526188.2526221 http://doi.acm.org/10.1145/2526188.2526221
http___dx.doi.org_10.1145_2526188.2526221 http://dx.doi.org/10.1145/2526188.2526221
deAssis:thesis Predicao de Tendencias em Series Financeiras utilizando Meta-Classificadores
CarlosASdeAssis.html
https___www.sig.cefetmg.br_sigaa_public_programa_noticias_desc.jsf_lc_en_US_id_308_noticia_17099533 https://www.sig.cefetmg.br/sigaa/public/programa/noticias_desc.jsf?lc=en_US&id=308¬icia=17099533
https___sig.cefetmg.br_sigaa_verArquivo_idArquivo_2333930_key_b59204be3343a9d10bb3904b0ab1996d https://sig.cefetmg.br/sigaa/verArquivo?idArquivo=2333930&key=b59204be3343a9d10bb3904b0ab1996d
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RDeaton.html
MaxHGarzon.html
RCMurphy.html
JohnAnthonyRose.html
DRFranceschetti.html
SEStevensJr.html
http___www.csce.uark.edu__rdeaton_dna_papers_gp-96.pdf http://www.csce.uark.edu/~rdeaton/dna/papers/gp-96.pdf
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KalyanmoyDeb.html
RiccardoPoli.html
WolfgangBanzhaf.html
Hans-GeorgBeyer.html
EdmundBurke.html
PaulDarwen.html
DipankarDasgupta.html
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MarkHarman.html
OwenHolland.html
PierLucaLanzi.html
LeeSpector.html
AndreaGBTettamanzi.html
DirkThierens.html
AndrewMTyrrell.html
http___dx.doi.org_10.1007_b98643 http://dx.doi.org/10.1007/b98643
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KalyanmoyDeb.html
RiccardoPoli.html
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Hans-GeorgBeyer.html
EdmundBurke.html
PaulDarwen.html
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MarkHarman.html
OwenHolland.html
PierLucaLanzi.html
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DirkThierens.html
AndrewMTyrrell.html
http___dx.doi.org_10.1007_b98645 http://dx.doi.org/10.1007/b98645
Deb:2020:GECCOcomp Evolutionary Multi-Objective Optimization: Past, Present and Future
KalyanmoyDeb.html
https___doi.org_10.1145_3377929.3389864 https://doi.org/10.1145/3377929.3389864
http___dx.doi.org_10.1145_3377929.3389864 http://dx.doi.org/10.1145/3377929.3389864
Debattista:2018:cgf Application-Specific Tone Mapping Via Genetic Programming
KurtDebattista.html
http___dx.doi.org_10.1111_cgf.13307 http://dx.doi.org/10.1111/cgf.13307
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AntoineDebien.html
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NicolasMazellier.html
ThomasDuriez.html
LaurentCordier.html
BerndRNoack.html
MarkusWAbel.html
AzeddineKourta.html
http___arxiv.org_abs_1508.05268 http://arxiv.org/abs/1508.05268
http___dx.doi.org_10.1007_s00348-016-2126-8 http://dx.doi.org/10.1007/s00348-016-2126-8
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GregdeBoer.html
HaixinWang.html
MazdakGhajari.html
AliAlazmani.html
RobertHewson.html
PeteCulmer.html
https___doi.org_10.1007_978-3-319-40379-3_7 https://doi.org/10.1007/978-3-319-40379-3_7
http___dx.doi.org_10.1007_978-3-319-40379-3_7 http://dx.doi.org/10.1007/978-3-319-40379-3_7
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GregdeBoer.html
NicholasRaske.html
HongboWang.html
MazdakGhajari.html
PeteCulmer.html
RobertHewson.html
http___eprints.whiterose.ac.uk_124902_1_sensors-17-02539-v2.pdf http://eprints.whiterose.ac.uk/124902/1/sensors-17-02539-v2.pdf
http___dx.doi.org_10.3390_s17112539 http://dx.doi.org/10.3390/s17112539
Debroy:2010:ICST Using Mutation to Automatically Suggest Fixes for Faulty Programs
VidrohaDebroy.html
WEricWong.html
http___dx.doi.org_10.1109_ICST.2010.66 http://dx.doi.org/10.1109/ICST.2010.66
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MoisesGdeCarvalho.html
MarcosAndreGoncalves.html
AlbertoHFLaender.html
AltigranSdaSilva.html
http___delivery.acm.org_10.1145_1150000_1141760_p41-decarvalho.pdf_key1_1141760_key2_6906456911_coll_GUIDE_dl_GUIDE_CFID_45325455_CFTOKEN_75817203 http://delivery.acm.org/10.1145/1150000/1141760/p41-decarvalho.pdf?key1=1141760&key2=6906456911&coll=GUIDE&dl=GUIDE&CFID=45325455&CFTOKEN=75817203
http___dx.doi.org_10.1145_1141753.1141760 http://dx.doi.org/10.1145/1141753.1141760
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AlbertoHFLaender.html
MarcosAndreGoncalves.html
ThiagoCostaPorto.html
http___www.lbd.dcc.ufmg.br_8080_colecoes_sbbd_2008_007.pdf http://www.lbd.dcc.ufmg.br:8080/colecoes/sbbd/2008/007.pdf
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MoisesGdeCarvalho.html
http___www.dcc.ufmg.br_pos_cursos_defesas_901D.PDF http://www.dcc.ufmg.br/pos/cursos/defesas/901D.PDF
deCarvalho:2011:ieeeTKDE A Genetic Programming Approach to Record Deduplication
MoisesGdeCarvalho.html
AlbertoHFLaender.html
MarcosAndreGoncalves.html
AltigranSdaSilva.html
http___dx.doi.org_10.1109_TKDE.2010.234 http://dx.doi.org/10.1109/TKDE.2010.234
deCarvalho:2013:IS An evolutionary approach to complex schema matching
MoisesGdeCarvalho.html
AlbertoHFLaender.html
MarcosAndreGoncalves.html
AltigranSdaSilva.html
http___dx.doi.org_10.1016_j.is.2012.10.002 http://dx.doi.org/10.1016/j.is.2012.10.002
http___www.sciencedirect.com_science_article_pii_S0306437912001287 http://www.sciencedirect.com/science/article/pii/S0306437912001287
decaux:2001:masters Using Genetic Programming to Evolve Strategies for the Iterated Prisoner's Dilemma
RobertDeCaux.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_decaux.masters.zip http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/decaux.masters.zip
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_decaux.masters.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/decaux.masters.pdf
deconde:2003:EPDMCTD Evolving Programs for Distributed Multi-Agent Configuration in Two Dimensions
RobPDeConde.html
http___www.genetic-programming.org_sp2003_DeConde.pdf http://www.genetic-programming.org/sp2003/DeConde.pdf
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JamesDecraene.html
GeorgeGMitchell.html
BarryMcMullin.html
CiaranKelly.html
http___dx.doi.org_10.1007_978-3-540-71605-1_34 http://dx.doi.org/10.1007/978-3-540-71605-1_34
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DarioDeDomenico.html
GiuseppeQuaranta.html
QingcongZeng.html
GiorgioMonti.html
http___dx.doi.org_10.1016_j.prostr.2023.01.216 http://dx.doi.org/10.1016/j.prostr.2023.01.216
https___www.sciencedirect.com_science_article_pii_S245232162300224X https://www.sciencedirect.com/science/article/pii/S245232162300224X
Deepa:2013:IJCA Automatic Threshold Selection using PSO for GA based Duplicate Record Detection
KDeepa.html
RRangarajan.html
SenthamilSelviMarudavelu.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.303.6638 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.303.6638
http___research.ijcaonline.org_volume62_number4_pxc3884674.pdf http://research.ijcaonline.org/volume62/number4/pxc3884674.pdf
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MConte.html
GiuseppeTautteur.html
IvanoeDeFalco.html
AntonioDellaCioppa.html
ErnestoTarantino.html
http___citeseer.ist.psu.edu_cache_papers_cs_1152_http_zSzzSzamalfi.dis.unina.itzSz_deanzSzpaperszSzicga97.pdf_conte97genetic.pdf http://citeseer.ist.psu.edu/cache/papers/cs/1152/http:zSzzSzamalfi.dis.unina.itzSz~deanzSzpaperszSzicga97.pdf/conte97genetic.pdf
http___citeseer.ist.psu.edu_355332.html http://citeseer.ist.psu.edu/355332.html
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IvanoeDeFalco.html
AIazzetta.html
ErnestoTarantino.html
AntonioDellaCioppa.html
GTrautteur.html
http___gpbib.cs.ucl.ac.uk_gecco2000_GP124.pdf http://gpbib.cs.ucl.ac.uk/gecco2000/GP124.pdf
http___gpbib.cs.ucl.ac.uk_gecco2000_GP124.ps http://gpbib.cs.ucl.ac.uk/gecco2000/GP124.ps
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IvanoeDeFalco.html
AntonioDellaCioppa.html
ErnestoTarantino.html
http___dx.doi.org_10.1016_S1568-4946_01_00024-2 http://dx.doi.org/10.1016/S1568-4946(01)00024-2
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AntonioDellaCioppa.html
ErnestoTarantino.html
http___dx.doi.org_10.1109_CEC.2002.1006239 http://dx.doi.org/10.1109/CEC.2002.1006239
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IvanoeDeFalco.html
ErnestoTarantino.html
AntonioDellaCioppa.html
FrancescoRFontanella.html
http___webuser.unicas.it_fontanella_papers_WSC04.pdf http://webuser.unicas.it/fontanella/papers/WSC04.pdf
http___dx.doi.org_10.1007_3-540-31662-0_4 http://dx.doi.org/10.1007/3-540-31662-0_4
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IvanoeDeFalco.html
ErnestoTarantino.html
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FGagliardi.html
http___dx.doi.org_10.1145_1066677.1066891 http://dx.doi.org/10.1145/1066677.1066891
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AntonioDellaCioppa.html
APassaro.html
http___dx.doi.org_10.1145_1066677.1066897 http://dx.doi.org/10.1145/1066677.1066897
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APassaro.html
ErnestoTarantino.html
http___dx.doi.org_10.1007_11676935_19 http://dx.doi.org/10.1007/11676935_19
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AntonioDellaCioppa.html
ErnestoTarantino.html
http___link.springer.com_chapter_10.1007_3-540-32400-3_12 http://link.springer.com/chapter/10.1007/3-540-32400-3_12
http___dx.doi.org_10.1007_3-540-32400-3_12 http://dx.doi.org/10.1007/3-540-32400-3_12
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ErnestoTarantino.html
http___dx.doi.org_10.1007_11729976_3 http://dx.doi.org/10.1007/11729976_3
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IvanoeDeFalco.html
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ErnestoTarantino.html
http___dx.doi.org_10.1007_978-3-540-71605-1_33 http://dx.doi.org/10.1007/978-3-540-71605-1_33
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UmbertoScafuri.html
ErnestoTarantino.html
AntonioDellaCioppa.html
http___dx.doi.org_10.1109_ISCC.2017.8024543 http://dx.doi.org/10.1109/ISCC.2017.8024543
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TomasKoutny.html
MichalKrcma.html
http___dx.doi.org_10.1109_ISCC.2018.8538682 http://dx.doi.org/10.1109/ISCC.2018.8538682
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IvanoeDeFalco.html
AntonioDellaCioppa.html
TomasKoutny.html
MichalKrcma.html
UmbertoScafuri.html
ErnestoTarantino.html
http___dx.doi.org_10.1016_j.jnca.2018.06.007 http://dx.doi.org/10.1016/j.jnca.2018.06.007
http___www.sciencedirect.com_science_article_pii_S1084804518302157 http://www.sciencedirect.com/science/article/pii/S1084804518302157
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IvanoeDeFalco.html
AntonioDellaCioppa.html
AGiugliano.html
AngeloMarcelli.html
TomasKoutny.html
MichalKrcma.html
UmbertoScafuri.html
ErnestoTarantino.html
http___dx.doi.org_10.1016_j.asoc.2019.01.020 http://dx.doi.org/10.1016/j.asoc.2019.01.020
http___www.sciencedirect.com_science_article_pii_S1568494619300249 http://www.sciencedirect.com/science/article/pii/S1568494619300249
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IvanoeDeFalco.html
UmbertoScafuri.html
ErnestoTarantino.html
AntonioDellaCioppa.html
TomasKoutny.html
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http___dx.doi.org_10.1109_GCWkshps50303.2020.9367402 http://dx.doi.org/10.1109/GCWkshps50303.2020.9367402
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IvanoeDeFalco.html
AntonioDellaCioppa.html
TomasKoutny.html
UmbertoScafuri.html
ErnestoTarantino.html
MartinUbl.html
http___dx.doi.org_10.1109_ISCC53001.2021.9631483 http://dx.doi.org/10.1109/ISCC53001.2021.9631483
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MichaelDefoinPlatel.html
ManuelClergue.html
PhilippeCollard.html
http___www.i3s.unice.fr__defoin_publications_eurogp_03.pdf http://www.i3s.unice.fr/~defoin/publications/eurogp_03.pdf
http___dx.doi.org_10.1007_3-540-36599-0_18 http://dx.doi.org/10.1007/3-540-36599-0_18
defoin-platel:2003:EA From Royal Road to Epistatic Road for Variable Length Evolution Algorithm
MichaelDefoinPlatel.html
SebastienVerel.html
ManuelClergue.html
PhilippeCollard.html
http___www.i3s.unice.fr__defoin_publications_ea_03.pdf http://www.i3s.unice.fr/~defoin/publications/ea_03.pdf
http___dx.doi.org_10.1007_b96080 http://dx.doi.org/10.1007/b96080
http___dx.doi.org_10.1007_978-3-540-24621-3_1 http://dx.doi.org/10.1007/978-3-540-24621-3_1
defoin-platel:2003:hgscigp Homology gives size control in genetic programming
MichaelDefoinPlatel.html
ManuelClergue.html
PhilippeCollard.html
http___www.i3s.unice.fr__defoin_publications_cec_03.pdf http://www.i3s.unice.fr/~defoin/publications/cec_03.pdf
http___dx.doi.org_10.1109_CEC.2003.1299586 http://dx.doi.org/10.1109/CEC.2003.1299586
eurogp:Defoin-PlatelCCC05 Teams of Genetic Predictors for Inverse Problem Solving
MichaelDefoinPlatel.html
MalikChami.html
ManuelClergue.html
PhilippeCollard.html
http___www.obs-vlfr.fr_LOV_OMT_fichiers_PDF_Defoin_and_Chami_LNCS_05.pdf http://www.obs-vlfr.fr/LOV/OMT/fichiers_PDF/Defoin_and_Chami_LNCS_05.pdf
http___dx.doi.org_10.1007_978-3-540-31989-4_31 http://dx.doi.org/10.1007/978-3-540-31989-4_31
http___dx.doi.org_10.1007_b107383 http://dx.doi.org/10.1007/b107383
DBLP:conf/ae/Defoin-PlatelCC05 Size Control with Maximum Homologous Crossover
MichaelDefoinPlatel.html
ManuelClergue.html
PhilippeCollard.html
https___hal.archives-ouvertes.fr_hal-00159738_document https://hal.archives-ouvertes.fr/hal-00159738/document
http___dx.doi.org_10.1007_11740698_2 http://dx.doi.org/10.1007/11740698_2
Defoin-Platel:2006:HIS Monitoring Genetic Variations in Variable Length Evolutionary Algorithms
MichaelDefoinPlatel.html
ManuelClergue.html
http___dx.doi.org_10.1109_HIS.2006.264887 http://dx.doi.org/10.1109/HIS.2006.264887
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MichaelDefoinPlatel.html
SebastienVerel.html
ManuelClergue.html
MalikChami.html
http___dx.doi.org_10.1007_978-3-540-71605-1_5 http://dx.doi.org/10.1007/978-3-540-71605-1_5
defoinplatel:tel-00131993 Homology in Genetic Programming Application to inverse problem solving
MichaelDefoinPlatel.html
https___tel.archives-ouvertes.fr_tel-00131993_file_these_dpm.pdf https://tel.archives-ouvertes.fr/tel-00131993/file/these_dpm.pdf
https___tel.archives-ouvertes.fr_tel-00131993 https://tel.archives-ouvertes.fr/tel-00131993
deFranca:2013:CEC Identifying Overlapping Communities in Complex Networks with Multimodal Optimization
FabricioOlivettideFranca.html
GuilhermePalermoCoelho.html
http___dx.doi.org_10.1109_CEC.2013.6557580 http://dx.doi.org/10.1109/CEC.2013.6557580
deFranca:2018:IS A greedy search tree heuristic for symbolic regression
FabricioOlivettideFranca.html
https___doi.org_10.1016_j.ins.2018.02.040 https://doi.org/10.1016/j.ins.2018.02.040
http___dx.doi.org_10.1016_j.ins.2018.02.040 http://dx.doi.org/10.1016/j.ins.2018.02.040
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FabricioOlivettideFranca.html
GuilhermeSeidyoImaiAldeia.html
http___dx.doi.org_10.1162_evco_a_00285 http://dx.doi.org/10.1162/evco_a_00285
https___github.com_folivetti_ITEA_ https://github.com/folivetti/ITEA/
DEFRANCA:2021:NC Interaction-transformation symbolic regression with extreme learning machine
FabricioOlivettideFranca.html
MairaZabuschadeLima.html
https___www.sciencedirect.com_science_article_pii_S0925231220316398 https://www.sciencedirect.com/science/article/pii/S0925231220316398
http___dx.doi.org_10.1016_j.neucom.2020.10.062 http://dx.doi.org/10.1016/j.neucom.2020.10.062
deFranca:2022:GECCO Transformation-Interaction-Rational Representation for Symbolic Regression
FabricioOlivettideFranca.html
http___dx.doi.org_10.1145_3512290.3528695 http://dx.doi.org/10.1145/3512290.3528695
https___vimeo.com_721571580 https://vimeo.com/721571580
deFranca:TELO Transformation-Interaction-Rational Representation for Symbolic Regression: A Detailed Analysis of SRBench Results
FabricioOlivettideFranca.html
http___dx.doi.org_10.1145_3597312 http://dx.doi.org/10.1145/3597312
deFranca:2023:GPTP Origami: (un)folding the Abstraction of Recursion Schemes for Program Synthesis
MatheusCamposFernandes.html
FabricioOlivettideFranca.html
EmilioFrancesquini.html
http___dx.doi.org_10.1007_978-981-99-8413-8_14 http://dx.doi.org/10.1007/978-981-99-8413-8_14
deFranca:2023:GPEM Alleviating overfitting in transformation-interaction-rational symbolic regression with multi-objective optimization
FabricioOlivettideFranca.html
http___dx.doi.org_10.1007_s10710-023-09461-3 http://dx.doi.org/10.1007/s10710-023-09461-3
DeFreitas:2018:CECdiogo Mutation-Based Evolutionary Fault Localisation
DiogoMDe-Freitas.html
PliniodeSaLeitaoJunior.html
CelsoGCamilo-Junior.html
RachelHarrison.html
http___dx.doi.org_10.1109_CEC.2018.8477719 http://dx.doi.org/10.1109/CEC.2018.8477719
deFreitas:2010:cec Active Learning Genetic programming for record deduplication
JuniodeFreitas.html
GiseleLPappa.html
AltigranSdaSilva.html
MarcosAndreGoncalves.html
EdlenoSilvadeMoura.html
AdrianoVeloso.html
AlbertoHFLaender.html
MoisesGdeCarvalho.html
http___www.dcc.ufmg.br__adrianov_papers_CEC10_cec10.pdf http://www.dcc.ufmg.br/~adrianov/papers/CEC10/cec10.pdf
http___dx.doi.org_10.1109_CEC.2010.5586104 http://dx.doi.org/10.1109/CEC.2010.5586104
deFreitas:2014:CILAMCE Aplica\cc\~ao de uma programa\cc\~ao gen\'etica gramatical na infer\^encia da m\'axima deforma\cc\~ao longitudinal de dutos com amassamento
JoaoMarcosdeFreitas.html
MarcusViniciusSilva.html
HederSoaresBernardino.html
JoaoNisanCorreiaGuerreiro.html
HelioJCBarbosa.html
joao2017aplicacao Aplicacao de uma Programacao Genetica Gramatical Coevolutiva no Apoio a Inferencia da Maxima Deformacao Longitudinal de dutos com Amassamento
JoaoMacrosdeFreitas.html
http___monografias.ice.ufjf.br_tcc-web_tcc_id_266 http://monografias.ice.ufjf.br/tcc-web/tcc?id=266
deFreitas:2018:CEC Evolving Controllers for Mario AI Using Grammar-based Genetic Programming
JoaoMarcosdeFreitas.html
FelipeRafaeldeSouza.html
HederSoaresBernardino.html
http___dx.doi.org_10.1109_CEC.2018.8477698 http://dx.doi.org/10.1109/CEC.2018.8477698
deFreitas:2022:GECCOcomp Human Activity Recognition Using Grammar-based Genetic Programming
JoaodeFreitas.html
HederSoaresBernardino.html
LucianaGoncalves.html
StenioSoares.html
http___dx.doi.org_10.1145_3520304.3529076 http://dx.doi.org/10.1145/3520304.3529076
deGaris:1992:dcGPssg Differentiable Chromosomes: The Genetic Programming of switchable Shape-Genes
HugodeGaris.html
HitoshiIba.html
TatsumiFuruya.html
http___www.iss.whu.edu.cn_degaris_papers_PPSN92.pdf http://www.iss.whu.edu.cn/degaris/papers/PPSN92.pdf
degaris:1993:erGPsrca Evolving a Replicator The Genetic Programming of Self Reproduction in Cellular Automata
HugodeGaris.html
http___www.iss.whu.edu.cn_degaris_papers_ECAL93.pdf http://www.iss.whu.edu.cn/degaris/papers/ECAL93.pdf
http___citeseer.ist.psu.edu_521663.html http://citeseer.ist.psu.edu/521663.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.17.9218_rank_7 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.17.9218&rank=7
http___alife.org_paper_ecal93_evolving-replicator-genetic-programming-self-reproduction-cellular-automata http://alife.org/paper/ecal93/evolving-replicator-genetic-programming-self-reproduction-cellular-automata
http___alife.org_sites_default_files_collections_ECAL93-0274-0284-De-Garis.pdf http://alife.org/sites/default/files/collections/ECAL93-0274-0284-De-Garis.pdf
degaris:1996:alifeV Alife-V 1996 Conference Report
HugodeGaris.html
http___www.hip.atr.co.jp__degaris_AlifeV.txt http://www.hip.atr.co.jp/~degaris/AlifeV.txt
broken broken
garis:1999:AABPASWIMENNMCDDAI ATR's Artificial Brain (``CAM-Brain'') Project: A Sample of What Individual ``CoDi-1Bit'' Model Evolved Neural Net Modules Can Do with Digital and Analog I/O
HugodeGaris.html
AndrzejBuller.html
MichaelKorkin.html
FelixAlexanderGers.html
NorbertoEijaNawa.html
MichaelHough.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_gecco1999_garis_1999_aabpaswimennmcddai.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/gecco1999/garis_1999_aabpaswimennmcddai.pdf
degaris:2002:gecco:lbp A Reversible Evolvable Network Architecture and Methodology to Overcome the Heat Generation Problem in Molecular Scale Brain Building
HugodeGaris.html
JonathanDinerstein.html
RavichandraSriram.html
http___www.iss.whu.edu.cn_degaris_papers_RENN.pdf http://www.iss.whu.edu.cn/degaris/papers/RENN.pdf
degaris:2005:EC Evolvable Hardware 2005
HugodeGaris.html
http___dx.doi.org_10.1162_106365605774666840 http://dx.doi.org/10.1162/106365605774666840
DEGIORGI:2020:AST Hybrid MultiGene Genetic Programming - Artificial neural networks approach for dynamic performance prediction of an aeroengine
MariaGraziaDeGiorgi.html
MarcoQuarta.html
http___www.sciencedirect.com_science_article_pii_S1270963820305848 http://www.sciencedirect.com/science/article/pii/S1270963820305848
http___dx.doi.org_10.1016_j.ast.2020.105902 http://dx.doi.org/10.1016/j.ast.2020.105902
DEGIORGI:2020:DB Data regarding dynamic performance predictions of an aeroengine
MariaGraziaDeGiorgi.html
MarcoQuarta.html
http___dx.doi.org_10.1016_j.dib.2020.105977 http://dx.doi.org/10.1016/j.dib.2020.105977
http___www.sciencedirect.com_science_article_pii_S2352340920308714 http://www.sciencedirect.com/science/article/pii/S2352340920308714
Dehghani:2012:ASONAM An Evolutionary-Based Method for Reconstructing Conversation Threads in Email Corpora
MostafaDehghani.html
MasoudAsadpour.html
AzadehShakery.html
http___dx.doi.org_10.1109_ASONAM.2012.195 http://dx.doi.org/10.1109/ASONAM.2012.195
Dehghanpour:2017:ieeeINISTA A robust genetic programming model for a dynamic portfolio insurance strategy
SiamakDehghanpour.html
AkbarEsfahanipour.html
http___dx.doi.org_10.1109_INISTA.2017.8001157 http://dx.doi.org/10.1109/INISTA.2017.8001157
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SiamakDehghanpour.html
AkbarEsfahanipour.html
http___dx.doi.org_10.1080_24751839.2018.1431447 http://dx.doi.org/10.1080/24751839.2018.1431447
oai:CiteSeerX.psu:10.1.1.372.7511 Text Summarization Based on Genetic Programming
PooyaKhosraviyanDehkordi.html
FarshadKumarci.html
HamidKhosravi.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.372.7511 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.372.7511
Deias:2009:LAPC Bandwidth optimization of EBG surfaces using genetic programming
LuisaDeias.html
GiuseppeMazzarella.html
NicolaSirena.html
http___dx.doi.org_10.1109_LAPC.2009.5352381 http://dx.doi.org/10.1109/LAPC.2009.5352381
Deias:2010:APSURSI EBG substrate synthesis for 2.45 GHz applications using Genetic Programming
LuisaDeias.html
GiuseppeMazzarella.html
NicolaSirena.html
http___dx.doi.org_10.1109_APS.2010.5562232 http://dx.doi.org/10.1109/APS.2010.5562232
Deias:2014:CEM EBG substrate synthesis for dual frequency applications using genetic programming
LuisaDeias.html
AlessandroFanti.html
GiuseppeMazzarella.html
http___dx.doi.org_10.1049_cp.2014.0225 http://dx.doi.org/10.1049/cp.2014.0225
Deiner:2020:SSBSE Search-Based Testing for Scratch Programs
AdinaDeiner.html
ChristophFraedrich.html
GordonFraser.html
SophiaGeserer.html
NiklasZantner.html
https___link.springer.com_chapter_10.1007_978-3-030-59762-7_5 https://link.springer.com/chapter/10.1007/978-3-030-59762-7_5
https___arxiv.org_pdf_2009.04115.pdf https://arxiv.org/pdf/2009.04115.pdf
http___dx.doi.org_10.1007_978-3-030-59762-7_5 http://dx.doi.org/10.1007/978-3-030-59762-7_5
https___github.com_se2p_whisker-main https://github.com/se2p/whisker-main
eddejong:1999:gssc Generation and Selection of Sensory Channels
EdwinDdeJong.html
LucSteels.html
http___arti.vub.ac.be__edwin_publications_channels.ps.gz http://arti.vub.ac.be/~edwin/publications/channels.ps.gz
http___dx.doi.org_10.1007_10704703_7 http://dx.doi.org/10.1007/10704703_7
jong:2001:gecco Reducing Bloat and Promoting Diversity using Multi-Objective Methods
EdwinDdeJong.html
RichardAWatson.html
JordanBPollack.html
http___www.demo.cs.brandeis.edu_papers_rbpd_gecco01.pdf http://www.demo.cs.brandeis.edu/papers/rbpd_gecco01.pdf
http___www.demo.cs.brandeis.edu_papers_rbpd_gecco01.ps.gz http://www.demo.cs.brandeis.edu/papers/rbpd_gecco01.ps.gz
http___www.demo.cs.brandeis.edu_papers_long.html http://www.demo.cs.brandeis.edu/papers/long.html
http___gpbib.cs.ucl.ac.uk_gecco2001_d01.pdf http://gpbib.cs.ucl.ac.uk/gecco2001/d01.pdf
http___citeseer.ist.psu.edu_440305.html http://citeseer.ist.psu.edu/440305.html
dejong:2003:GPEM Multi-Objective Methods for Tree Size Control
EdwinDdeJong.html
JordanBPollack.html
http___www.cs.uu.nl__dejong_publications_bloat.ps http://www.cs.uu.nl/~dejong/publications/bloat.ps
http___www.cs.uu.nl__dejong_index.html http://www.cs.uu.nl/~dejong/index.html
http___dx.doi.org_10.1023_A_1025122906870 http://dx.doi.org/10.1023/A:1025122906870
conf/pakdd/JongN13 Binary Classification Using Genetic Programming: Evolving Discriminant Functions with Dynamic Thresholds
JilldeJong.html
KouroshNeshatian.html
http___dx.doi.org_10.1007_978-3-642-40319-4 http://dx.doi.org/10.1007/978-3-642-40319-4
http___dx.doi.org_10.1007_978-3-642-40319-4_40 http://dx.doi.org/10.1007/978-3-642-40319-4_40
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KennethDeJong.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_icga1987_icga87_deJong.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/icga1987/icga87_deJong.pdf
DeJong:2019:GECCOcomp Evolutionary computation: a unified approach
KennethDeJong.html
http___dx.doi.org_10.1145_3319619.3323379 http://dx.doi.org/10.1145/3319619.3323379
DeJong:2020:GECCOcomp Evolutionary Computation: A Unified Approach
KennethDeJong.html
https___doi.org_10.1145_3377929.3389871 https://doi.org/10.1145/3377929.3389871
http___dx.doi.org_10.1145_3377929.3389871 http://dx.doi.org/10.1145/3377929.3389871
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KennethDeJong.html
EmmaHart.html
http___dx.doi.org_10.1162_evco_e_00324 http://dx.doi.org/10.1162/evco_e_00324
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MarinadelaCruzEcheandia.html
AlfonsoOrtegadelaPuente.html
ManuelAlfonseca.html
http___dx.doi.org_10.1007_11499305_19 http://dx.doi.org/10.1007/11499305_19
delaCruzEcheandia:2010:ICEC The role of Keeping Semantic Blocks Invariant - Effects in Linear Genetic Programming Performance
MarinadelaCruzEcheandia.html
AlbaMartinLazaro.html
AlfonsoOrtegadelaPuente.html
http___www.robinbye.com_files_publications_ICEC_2010.pdf http://www.robinbye.com/files/publications/ICEC_2010.pdf
https___www.scitepress.org_Papers_2010_30854_ https://www.scitepress.org/Papers/2010/30854/
http___dx.doi.org_10.5220_0003085403650368 http://dx.doi.org/10.5220/0003085403650368
delaCruz:2018:hbge GE and Semantics
MarinadelaCruzEcheandia.html
YounisRSHElhaddad.html
SuzanAwinat.html
AlfonsoOrtegadelaPuente.html
http___dx.doi.org_10.1007_978-3-319-78717-6_8 http://dx.doi.org/10.1007/978-3-319-78717-6_8
delaFuenteCastillo:2020:AS Grammar Guided Genetic Programming for Network Architecture Search and Road Detection on Aerial Orthophotography
VictordelaFuenteCastillo.html
AlbertoDiaz-Alvarez.html
Miguel-AngelManso-Callejo.html
FranciscoSerradillaGarcia.html
https___www.mdpi.com_2076-3417_10_11_3953 https://www.mdpi.com/2076-3417/10/11/3953
http___dx.doi.org_10.3390_app10113953 http://dx.doi.org/10.3390/app10113953
delasCuevas:2020:evoapplications Automatic Rule Extraction from Access Rules Using Genetic Programming
PalomadelasCuevasDelgado.html
PabloGarcia-Sanchez.html
ZainebChellyDagdia.html
Maria-IsabelGarcia-Arenas.html
JuanJulianMerelo.html
https___www.youtube.com_watch_v_-VTUGCH3Em0 https://www.youtube.com/watch?v=-VTUGCH3Em0
http___dx.doi.org_10.1007_978-3-030-43722-0_4 http://dx.doi.org/10.1007/978-3-030-43722-0_4
DelCarpio:2006:CEC An Evolving Automaton for RNA Secondary Structure Prediction
CarlosAdrielDelCarpio.html
MohamedIsmael.html
EichiroIchiishi.html
MichihisaKoyama.html
MomojiKubo.html
AkiraMiyamoto.html
http___dx.doi.org_10.1109_IJCNN.2006.247018 http://dx.doi.org/10.1109/IJCNN.2006.247018
DelDuce:2009:ieeeJSTQE Quantum Logic Circuits and Optical Signal Generation for a Three-Qubit, Optically Controlled, Solid-State Quantum Computer
AndreaDelDuce.html
PolinaBayvel.html
http___dx.doi.org_10.1109_JSTQE.2009.2024326 http://dx.doi.org/10.1109/JSTQE.2009.2024326
DelDuce:thesis Quantum Logic circuits for solid-state quantum information processing
AndreaDelDuce.html
http___discovery.ucl.ac.uk_20166_1_20166.pdf http://discovery.ucl.ac.uk/20166/1/20166.pdf
Delfianto:2011:ICEEI Content-targeted advertising using genetic programming
RizkyDelfianto.html
MasayuLeyliaKhodra.html
AristamaRoesli.html
http___dx.doi.org_10.1109_ICEEI.2011.6021592 http://dx.doi.org/10.1109/ICEEI.2011.6021592
Delgado:2021:A Self and Mutual Inductance Behavioral Modeling of Rectangular IPT Coils with Air Gap and Ferrite Core Plates
AlbertoDelgado.html
GiuliaDiCapua.html
KaterynaStoyka.html
LixinShi.html
NicolaFemia.html
AntonioMaffucci.html
SalvatoreVentre.html
PedroAlou.html
JesusAOliver.html
JoseACobos.html
http___dx.doi.org_10.1109_ACCESS.2021.3138239 http://dx.doi.org/10.1109/ACCESS.2021.3138239
delgado:2002:FUZZIEEE Multi-Objective Decision Making: Towards Improvement of Accuracy, Interpretability and Design Autonomy in Hierarchical Genetic Fuzzy Systems
MyriamRegattieriDeBiasedaSilvaDelgado.html
FernandoJoseVonZuben.html
FernandoGomide.html
http___dx.doi.org_10.1109_FUZZ.2002.1006678 http://dx.doi.org/10.1109/FUZZ.2002.1006678
Delgado-Osuna:2022:CEC Smart Operators for Inducing Colorectal Cancer Classification Trees with PonyGE2 Grammatical Evolution Python Package
JoseAntonioDelgadoOsuna.html
CarlosGarcia-Martinez.html
SebastianVentura.html
http___dx.doi.org_10.1109_CEC55065.2022.9870361 http://dx.doi.org/10.1109/CEC55065.2022.9870361
deLima:2022:GECCO Lexi2: Lexicase Selection with Lexicographic Parsimony Pressure
AllanDanilodeLima.html
SamuelCarvalho.html
DouglasMotaDias.html
EnriqueNaredo.html
JoeSullivan.html
ConorRyan.html
http___dx.doi.org_10.1145_3512290.3528803 http://dx.doi.org/10.1145/3512290.3528803
deLima:2024:EuroGP Fuzzy Pattern Trees for Classification Problems Using Genetic Programming
AllanDanilodeLima.html
SamuelCarvalho.html
DouglasMotaDias.html
JorgeLuisMachadoDoAmaral.html
JoeSullivan.html
ConorRyan.html
http___dx.doi.org_10.1007_978-3-031-56957-9_1 http://dx.doi.org/10.1007/978-3-031-56957-9_1
deLima:2010:cec Tuning Genetic Programming parameters with factorial designs
ElisaBoarideLima.html
GiseleLPappa.html
JussaraMarquesdeAlmeida.html
MarcosAndreGoncalves.html
WagnerMeira.html
http___dx.doi.org_10.1109_CEC.2010.5586084 http://dx.doi.org/10.1109/CEC.2010.5586084
10.1371/journal.pcbi.1005001 Isofunctional Protein Subfamily Detection Using Data Integration and Spectral Clustering
ElisaBoarideLima.html
WagnerMeira.html
RaquelCardosodeMelo-Minardi.html
http___dx.doi.org_10.1371_journal.pcbi.1005001 http://dx.doi.org/10.1371/journal.pcbi.1005001
delima:2017:CEC A study on auto-configuration of Multi-Objective Particle Swarm Optimization Algorithm
RicardoHenriqueRemesdeLima.html
AuroraTrinidadRamirezPozo.html
http___dx.doi.org_10.1109_CEC.2017.7969381 http://dx.doi.org/10.1109/CEC.2017.7969381
delisle:2004:CIM Induction of Decision Trees via Evolutionary Programming
RobertKirkDeLisle.html
StevenLDixon.html
http___dx.doi.org_10.1021_ci034188s http://dx.doi.org/10.1021/ci034188s
Dell'Aquila:2021:cpc Automatic classification of nuclear physics data via a Constrained Evolutionary Clustering approach
DanieleDell'Aquila.html
MarcoRusso.html
https___www.sciencedirect.com_science_article_pii_S0010465520303234 https://www.sciencedirect.com/science/article/pii/S0010465520303234
http___dx.doi.org_10.1016_j.cpc.2020.107667 http://dx.doi.org/10.1016/j.cpc.2020.107667
Dell'Aquila:jpG Modeling Heavy-Ion Fusion Cross Section Data via a Novel Artificial Intelligence Approach
DanieleDell'Aquila.html
BrunildeGnoffo.html
IvanoLombardo.html
FrancescoPorto.html
MarcoRusso.html
https___arxiv.org_abs_2203.10367 https://arxiv.org/abs/2203.10367
http___iopscience.iop.org_article_10.1088_1361-6471_ac9ad1 http://iopscience.iop.org/article/10.1088/1361-6471/ac9ad1
http___dx.doi.org_10.1088_1361-6471_ac9ad1 http://dx.doi.org/10.1088/1361-6471/ac9ad1
Dell_Aquila:2023:JPCS Understanding Heavy-ion Fusion Cross Section Data Using Novel Artificial Intelligence Approaches
DanieleDell'Aquila.html
BrunildeGnoffo.html
IvanoLombardo.html
FrancescoPorto.html
LuigiRedigolo.html
MarcoRusso.html
https___dx.doi.org_10.1088_1742-6596_2619_1_012004 https://dx.doi.org/10.1088/1742-6596/2619/1/012004
http___dx.doi.org_10.1088_1742-6596_2619_1_012004 http://dx.doi.org/10.1088/1742-6596/2619/1/012004
DeLorenzo:2013:GECCO Automatic string replace by examples
AndreaDeLorenzo.html
EricMedvet.html
AlbertoBartoli.html
http___dx.doi.org_10.1145_2463372.2463532 http://dx.doi.org/10.1145/2463372.2463532
DeLorenzo:GPEM20 Genetic programming in the twenty-first century: a bibliometric and content-based analysis from both sides of the fence
AndreaDeLorenzo.html
AlbertoBartoli.html
MauroCastelli.html
EricMedvet.html
BingXue.html
http___dx.doi.org_10.1007_s10710-019-09363-3 http://dx.doi.org/10.1007/s10710-019-09363-3
DelRe:2005:SAE NOx Virtual Sensor Based on Structure Identification and Global Optimization
LuigidelRe.html
PeterLangthaler.html
ChristianFurtmueller.html
StephanMWinkler.html
MichaelAffenzeller.html
http___dx.doi.org_10.4271_2005-01-0050 http://dx.doi.org/10.4271/2005-01-0050
delRe:2011:CIVTS The role of data choice in data driven identification for online emission models
LuigidelRe.html
MarkusHirsch.html
DanielAlberer.html
StephanMWinkler.html
http___dx.doi.org_10.1109_CIVTS.2011.5949537 http://dx.doi.org/10.1109/CIVTS.2011.5949537
del-Rosal:2011:IWINAC Towards the Automatic Programming of NEPs
EmiliodelRosal.html
MarinadelaCruzEcheandia.html
AlfonsoOrtegadelaPuente.html
http___dx.doi.org_10.1007_978-3-642-21344-1_32 http://dx.doi.org/10.1007/978-3-642-21344-1_32
delRosalGarcia:thesis Real Life Applications of Bio-inspired Computing Models: EAP and NEPs
EmiliodelRosal.html
http___hdl.handle.net_10486_662031 http://hdl.handle.net/10486/662031
https___repositorio.uam.es_bitstream_handle_10486_662031_rosal_garcia_emilio_del.pdf https://repositorio.uam.es/bitstream/handle/10486/662031/rosal_garcia_emilio_del.pdf
deLyraRamos:2017:IEEE-APS NSGA-RF: Elitist non-dominated sorting genetic algorithm region-focused
NierembergJPdeLyraRamos.html
GlaucoFontgalland.html
AlfredoGomesNeto.html
SilvioErnestoBarbin.html
http___dx.doi.org_10.1109_APWC.2017.8062310 http://dx.doi.org/10.1109/APWC.2017.8062310
DeMaagd:2010:HICSS A Genetic Programming Approach to Network Management Regulation
KurtDeMaagd.html
JohannesMBauer.html
http___dx.doi.org_10.1109_HICSS.2010.14 http://dx.doi.org/10.1109/HICSS.2010.14
DEMBELE:2017:PCS Investigating Artificial Cells' Spatial Proliferation with a Gene Regulatory Network
JeanMarieDembele.html
SylvainCussat-Blanc.html
JeanDisset.html
YvesDuthen.html
http___dx.doi.org_10.1016_j.procs.2017.09.062 http://dx.doi.org/10.1016/j.procs.2017.09.062
http___www.sciencedirect.com_science_article_pii_S1877050917318665 http://www.sciencedirect.com/science/article/pii/S1877050917318665
DeMelo:2014:GECCO Kaizen programming
ViniciusVelosodeMelo.html
http___doi.acm.org_10.1145_2576768.2598264 http://doi.acm.org/10.1145/2576768.2598264
http___dx.doi.org_10.1145_2576768.2598264 http://dx.doi.org/10.1145/2576768.2598264
deMelo:2015:GPTP Kaizen Programming for Feature Generation
ViniciusVelosodeMelo.html
WolfgangBanzhaf.html
http___www.springer.com_us_book_9783319342214 http://www.springer.com/us/book/9783319342214
http___dx.doi.org_10.1007_978-3-319-34223-8_3 http://dx.doi.org/10.1007/978-3-319-34223-8_3
deMelo:2015:BRACIS Evaluating Methods for Constant Optimization of Symbolic Regression Benchmark Problems
ViniciusVelosodeMelo.html
BenjaminFowler.html
WolfgangBanzhaf.html
http___dx.doi.org_10.1109_BRACIS.2015.55 http://dx.doi.org/10.1109/BRACIS.2015.55
deMelo:2016:GECCOcomp Improving Logistic Regression Classification of Credit Approval with Features Constructed by Kaizen Programming
ViniciusVelosodeMelo.html
WolfgangBanzhaf.html
http___dx.doi.org_10.1145_2908961.2908963 http://dx.doi.org/10.1145/2908961.2908963
deMelo:2016:CEC Breast Cancer Detection with Logistic Regression improved by features constructed by Kaizen Programming in a hybrid approach
ViniciusVelosodeMelo.html
http___dx.doi.org_10.1109_CEC.2016.7743773 http://dx.doi.org/10.1109/CEC.2016.7743773
deMelo:2017:Neurocomputing Improving the prediction of material properties of concrete using Kaizen Programming with Simulated Annealing
ViniciusVelosodeMelo.html
WolfgangBanzhaf.html
https___www.cs.mun.ca__banzhaf_papers_Neurocomputing2017.pdf https://www.cs.mun.ca/~banzhaf/papers/Neurocomputing2017.pdf
http___www.sciencedirect.com_science_article_pii_S092523121730231X http://www.sciencedirect.com/science/article/pii/S092523121730231X
http___dx.doi.org_10.1016_j.neucom.2016.12.077 http://dx.doi.org/10.1016/j.neucom.2016.12.077
DEMELO:2018:IS Automatic feature engineering for regression models with machine learning: An evolutionary computation and statistics hybrid
ViniciusVelosodeMelo.html
WolfgangBanzhaf.html
http___dx.doi.org_10.1016_j.ins.2017.11.041 http://dx.doi.org/10.1016/j.ins.2017.11.041
http___www.sciencedirect.com_science_article_pii_S0020025517311040 http://www.sciencedirect.com/science/article/pii/S0020025517311040
DeMelo:2018:NCA Drone Squadron Optimization: a novel self-adaptive algorithm for global numerical optimization
ViniciusVelosodeMelo.html
WolfgangBanzhaf.html
http___dx.doi.org_10.1007_s00521-017-2881-3 http://dx.doi.org/10.1007/s00521-017-2881-3
melo2019batch Batch Tournament Selection for Genetic Programming: The quality of lexicase, the speed of Tournament
ViniciusVelosodeMelo.html
DaniloVasconcellosVargas.html
WolfgangBanzhaf.html
https___arxiv.org_abs_1904.08658 https://arxiv.org/abs/1904.08658
deMelo:2019:GECCO Batch tournament selection for genetic programming: the quality of lexicase, the speed of tournament
ViniciusVelosodeMelo.html
DaniloVasconcellosVargas.html
WolfgangBanzhaf.html
http___dx.doi.org_10.1145_3321707.3321793 http://dx.doi.org/10.1145/3321707.3321793
DeMelo:2020:evoapplications A MIMD Interpreter for Genetic Programming
ViniciusVelosodeMelo.html
AlvaroLuizFazenda.html
LeoFrancosoDalPiccolSotto.html
GiovanniIacca.html
https___www.youtube.com_watch_v_5rh56rZUO5w https://www.youtube.com/watch?v=5rh56rZUO5w
http___dx.doi.org_10.1007_978-3-030-43722-0_41 http://dx.doi.org/10.1007/978-3-030-43722-0_41
deMenezes:Fwg:06 Forecasting with genetically programmed polynomial neural networks
LilianMdeMenezes.html
NikolayNikolaev.html
http___dx.doi.org_10.1016_j.ijforecast.2005.05.002 http://dx.doi.org/10.1016/j.ijforecast.2005.05.002
deMesentierSilva:2016:CIG Generating heuristics for novice players
FernandodeMesentierSilva.html
AaronIsaksen.html
JulianTogelius.html
AndyNealen.html
http___dx.doi.org_10.1109_CIG.2016.7860407 http://dx.doi.org/10.1109/CIG.2016.7860407
deMesentier:2018:CIG Generating Novice Heuristics for Post-Flop Poker
FernandodeMesentierSilva.html
JulianTogelius.html
FrankLantz.html
AndyNealen.html
http___dx.doi.org_10.1109_CIG.2018.8490415 http://dx.doi.org/10.1109/CIG.2018.8490415
demirbas:2022:AS Stress Analysis of 2D-FG Rectangular Plates with Multi-Gene Genetic Programming
MuniseDidemDemirbas.html
DidemCakir.html
CelalOzturk.html
SibelArslan.html
https___www.mdpi.com_2076-3417_12_16_8198 https://www.mdpi.com/2076-3417/12/16/8198
http___dx.doi.org_10.3390_app12168198 http://dx.doi.org/10.3390/app12168198
Demirbilek:thesis Machine learning based perceived quality estimation models in realtime communications
EdipDemirbilek.html
http___espace.inrs.ca_id_eprint_8018 http://espace.inrs.ca/id/eprint/8018
http___espace.inrs.ca_id_eprint_8018_1_Demirbilek__20Edip.pdf http://espace.inrs.ca/id/eprint/8018/1/Demirbilek,%20Edip.pdf
Demirbilek:2017:ieeeICME Machine learning based reduced reference bitstream audiovisual quality prediction models for realtime communications
EdipDemirbilek.html
Jean-CharlesGregoire.html
http___dx.doi.org_10.1109_ICME.2017.8019462 http://dx.doi.org/10.1109/ICME.2017.8019462
Demirbilek:2017:MLB Machine Learning-Based Parametric Audiovisual Quality Prediction Models for Real-Time Communications
EdipDemirbilek.html
Jean-CharlesGregoire.html
http___portal.acm.org_browse_dl.cfm_idx_J961 http://portal.acm.org/browse_dl.cfm?idx=J961
http___dx.doi.org_10.1145_3051482 http://dx.doi.org/10.1145/3051482
journals/corr/abs-1801-05889 Perceived Audiovisual Quality Modelling based on Decison Trees, Genetic Programming and Neural Networks
EdipDemirbilek.html
Jean-CharlesGregoire.html
http___arxiv.org_abs_1801.05889 http://arxiv.org/abs/1801.05889
Demirhan:2014:ECM The problem of multicollinearity in horizontal solar radiation estimation models and a new model for Turkey
HaydarDemirhan.html
http___dx.doi.org_10.1016_j.enconman.2014.04.035 http://dx.doi.org/10.1016/j.enconman.2014.04.035
http___www.sciencedirect.com_science_article_pii_S0196890414003392 http://www.sciencedirect.com/science/article/pii/S0196890414003392
Demirhan:2015:ECM New horizontal global solar radiation estimation models for Turkey based on robust coplot supported genetic programming technique
HaydarDemirhan.html
YaseminKayhanAtilgan.html
http___dx.doi.org_10.1016_j.enconman.2015.10.038 http://dx.doi.org/10.1016/j.enconman.2015.10.038
http___www.sciencedirect.com_science_article_pii_S0196890415009607 http://www.sciencedirect.com/science/article/pii/S0196890415009607
dempsey:2004:gew:idem Live Trading with Grammatical Evolution
IanDempsey.html
MichaelO'Neill.html
AnthonyBrabazon.html
http___gpbib.cs.ucl.ac.uk_gecco2004_WGEW001.pdf http://gpbib.cs.ucl.ac.uk/gecco2004/WGEW001.pdf
1068289 Meta-grammar constant creation with grammatical evolution by grammatical evolution
IanDempsey.html
MichaelO'Neill.html
AnthonyBrabazon.html
http___gpbib.cs.ucl.ac.uk_gecco2005_docs_p1665.pdf http://gpbib.cs.ucl.ac.uk/gecco2005/docs/p1665.pdf
http___dx.doi.org_10.1145_1068009.1068289 http://dx.doi.org/10.1145/1068009.1068289
dempsey:gecco05ws Constant Generation for the Financial Domain using Grammatical Evolution
IanDempsey.html
http___gpbib.cs.ucl.ac.uk_gecco2005wks_papers_0350.pdf http://gpbib.cs.ucl.ac.uk/gecco2005wks/papers/0350.pdf
dempsey:2006:CEC Adaptive Trading with Grammatical Evolution
IanDempsey.html
MichaelO'Neill.html
AnthonyBrabazon.html
http___dx.doi.org_10.1109_CEC.2006.1688631 http://dx.doi.org/10.1109/CEC.2006.1688631
Dempsey:2007:IJICA Constant Creation in Grammatical Evolution
IanDempsey.html
MichaelO'Neill.html
AnthonyBrabazon.html
http___www.inderscience.com_search_index.php_action_record_rec_id_13399_prevQuery__ps_10_m_or http://www.inderscience.com/search/index.php?action=record&rec_id=13399&prevQuery=&ps=10&m=or
http___dx.doi.org_10.1504_IJICA.2007.013399 http://dx.doi.org/10.1504/IJICA.2007.013399
Dempsey:2007:geRBF A Grammatical Genetic Programming Representation for Radial Basis Function Networks
IanDempsey.html
AnthonyBrabazon.html
MichaelO'Neill.html
http___dx.doi.org_10.1007_978-3-540-75396-4_11 http://dx.doi.org/10.1007/978-3-540-75396-4_11
Dempsey:thesis Grammatical Evolution in Dynamic Environments
IanDempsey.html
Dempsey:book Foundations in Grammatical Evolution for Dynamic Environments
IanDempsey.html
MichaelO'Neill.html
AnthonyBrabazon.html
http___www.springer.com_engineering_book_978-3-642-00313-4 http://www.springer.com/engineering/book/978-3-642-00313-4
Dempster:2000:wp35 The Profitability of Intra-Day FX Trading Using Technical Indicators
MichaelDempster.html
ChrisMJones.html
http___mahd-pc.jbs.cam.ac.uk_archive_PAPERS_1999_profitability.pdf http://mahd-pc.jbs.cam.ac.uk/archive/PAPERS/1999/profitability.pdf
Dempster:2000:QF A real-time adaptive trading system using genetic programming
MichaelDempster.html
ChrisMJones.html
http___mahd-pc.jbs.cam.ac.uk_archive_PAPERS_2000_geneticprogramming.pdf http://mahd-pc.jbs.cam.ac.uk/archive/PAPERS/2000/geneticprogramming.pdf
http___citeseer.ist.psu.edu_dempster01realtime.html http://citeseer.ist.psu.edu/dempster01realtime.html
http___dx.doi.org_10.1088_1469-7688_1_4_301 http://dx.doi.org/10.1088/1469-7688/1/4/301
Dempster:2001:trading Computational learning techniques for intraday FX trading using popular technical indicators
MichaelDempster.html
TomWPayne.html
YazannRomahi.html
GilesWPThompson.html
http___mahd-pc.jbs.cam.ac.uk_archive_PAPERS_2000_ieeetrading.pdf http://mahd-pc.jbs.cam.ac.uk/archive/PAPERS/2000/ieeetrading.pdf
http___dx.doi.org_10.1109_72.935088 http://dx.doi.org/10.1109/72.935088
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MichaelDempster.html
YazannRomahi.html
http___mahd-pc.jbs.cam.ac.uk_archive_PAPERS_2002_WP3-2002.pdf http://mahd-pc.jbs.cam.ac.uk/archive/PAPERS/2002/WP3-2002.pdf
https___rdcu.be_djwpR https://rdcu.be/djwpR
http___dx.doi.org_10.1007_3-540-45675-9_52 http://dx.doi.org/10.1007/3-540-45675-9_52
Dempster:2006:ESA An automated FX trading system using adaptive reinforcement learning
MichaelDempster.html
VascoLeemans.html
http___mahd-pc.jbs.cam.ac.uk_archive_PAPERS_2004_WP18.pdf http://mahd-pc.jbs.cam.ac.uk/archive/PAPERS/2004/WP18.pdf
http___dx.doi.org_10.1016_j.eswa.2005.10.012 http://dx.doi.org/10.1016/j.eswa.2005.10.012
denardi08coevolutionary Coevolutionary modelling of a miniature rotorcraft
RenzoDeNardi.html
OwenHolland.html
http___www.cs.ucl.ac.uk_staff_R.DeNardi_DeNardi2008Coevolutionary.pdf http://www.cs.ucl.ac.uk/staff/R.DeNardi/DeNardi2008Coevolutionary.pdf
http___dx.doi.org_10.3233_978-1-58603-887-8-364 http://dx.doi.org/10.3233/978-1-58603-887-8-364
DeNardi2010PhD Automatic Design of Controllers for Miniature Vehicles through Automatic Modelling
RenzoDeNardi.html
http___www.cs.ucl.ac.uk_staff_R.DeNardi_DeNardi2010PhD.pdf http://www.cs.ucl.ac.uk/staff/R.DeNardi/DeNardi2010PhD.pdf
http___discovery.ucl.ac.uk_1330831_ http://discovery.ucl.ac.uk/1330831/
deng:2023:GECCOcomp Learning Behavior Trees by Evolution-Inspired Approaches
ChuanshuaiDeng.html
ChenjingZhao.html
ZhenghuiLiu.html
JiexinZhang.html
YunlongWu.html
YanzhenWang.html
HongCheng.html
XiaodongYi.html
http___dx.doi.org_10.1145_3583133.3590642 http://dx.doi.org/10.1145/3583133.3590642
DENG:2012:PCS Robustness Test of Genetic Algorithm on Generating Rules for Currency Trading
ShangkunDeng.html
YizhouSun.html
AkitoSakurai.html
http___dx.doi.org_10.1016_j.procs.2012.09.117 http://dx.doi.org/10.1016/j.procs.2012.09.117
http___www.sciencedirect.com_science_article_pii_S1877050912007247 http://www.sciencedirect.com/science/article/pii/S1877050912007247
journals/access/DengYYZ17 Distributed Mining for Content Filtering Function Based on Simulated Annealing and Gene Expression Programming in Active Distribution Network
SongDeng.html
Chang-anYuan.html
JiquanYang.html
Ai-HuaZhou.html
http___ieeexplore.ieee.org_document_7857022_ http://ieeexplore.ieee.org/document/7857022/
http___dx.doi.org_10.1109_ACCESS.2017.2669106 http://dx.doi.org/10.1109/ACCESS.2017.2669106
Deng:2018:PRL Distributed electricity load forecasting model mining based on hybrid gene expression programming and cloud computing
SongDeng.html
Chang-anYuan.html
LechanYang.html
LipingZhang.html
http___dx.doi.org_10.1016_j.patrec.2017.10.004 http://dx.doi.org/10.1016/j.patrec.2017.10.004
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SongDeng.html
XiangpengXie.html
Chang-anYuan.html
LechanYang.html
XindongWu.html
http___dx.doi.org_10.1016_j.asoc.2020.106213 http://dx.doi.org/10.1016/j.asoc.2020.106213
Heijer:2010:EvoMUSART Comparing Aesthetic Measures for Evolutionary Art
EelcodenHeijer.html
GuszEiben.html
http___dx.doi.org_10.1007_978-3-642-12242-2_32 http://dx.doi.org/10.1007/978-3-642-12242-2_32
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.462.9840 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.462.9840
denHeijer:2010:cec Using aesthetic measures to evolve art
EelcodenHeijer.html
GuszEiben.html
http___dx.doi.org_10.1109_CEC.2010.5586245 http://dx.doi.org/10.1109/CEC.2010.5586245
denHeijer:2011:GECCO Evolving art with scalable vector graphics
EelcodenHeijer.html
GuszEiben.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.395.8699 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.395.8699
http___www.cs.vu.nl__gusz_papers_2011-Evolving_20Art_20with_20Scalable_20Vector_20Graphics.pdf http://www.cs.vu.nl/~gusz/papers/2011-Evolving%20Art%20with%20Scalable%20Vector%20Graphics.pdf
http___dx.doi.org_10.1145_2001576.2001635 http://dx.doi.org/10.1145/2001576.2001635
denHeijer:2014:SEC Investigating aesthetic measures for unsupervised evolutionary art
EelcodenHeijer.html
GuszEiben.html
http___dx.doi.org_10.1016_j.swevo.2014.01.002 http://dx.doi.org/10.1016/j.swevo.2014.01.002
http___www.sciencedirect.com_science_article_pii_S2210650214000030 http://www.sciencedirect.com/science/article/pii/S2210650214000030
DenHeijer:2016:IJART Using scalable vector graphics to evolve art
EelcodenHeijer.html
GuszEiben.html
http___www.inderscience.com_link.php_id_75408 http://www.inderscience.com/link.php?id=75408
http___dx.doi.org_10.1504_IJART.2016.075408 http://dx.doi.org/10.1504/IJART.2016.075408
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EelcodenHeijer.html
https___research.vu.nl_files_42119961_title_20page.pdf https://research.vu.nl/files/42119961/title%20page.pdf
http___eelcodenheijer.nl_publications_Eelco-den-Heijer-Autonomous-Evolutionary-Art-2013.pdf http://eelcodenheijer.nl/publications/Eelco-den-Heijer-Autonomous-Evolutionary-Art-2013.pdf
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StanislawDeniziak.html
AdamGorski.html
http___dx.doi.org_10.1007_978-3-540-85857-7_8 http://dx.doi.org/10.1007/978-3-540-85857-7_8
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StanislawDeniziak.html
KarolWieczorek.html
http___dx.doi.org_10.1007_978-3-642-31464-3_41 http://dx.doi.org/10.1007/978-3-642-31464-3_41
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StanislawDeniziak.html
KarolWieczorek.html
http___dx.doi.org_10.1007_978-3-642-29353-5_21 http://dx.doi.org/10.1007/978-3-642-29353-5_21
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StanislawDeniziak.html
LeszekCiopinski.html
GrzegorzPawinski.html
KarolWieczorek.html
SlawomirBak.html
http___dx.doi.org_10.1109_UCC.2014.126 http://dx.doi.org/10.1109/UCC.2014.126
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StanislawDeniziak.html
LeszekCiopinski.html
GrzegorzPawinski.html
http___dx.doi.org_10.1007_978-3-319-20883-1_9 http://dx.doi.org/10.1007/978-3-319-20883-1_9
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StanislawDeniziak.html
LeszekCiopinski.html
http___dx.doi.org_10.15439_2015F313 http://dx.doi.org/10.15439/2015F313
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StanislawDeniziak.html
MariuszWisniewski.html
KarolWieczorek.html
http___dx.doi.org_10.1109_DSD.2016.107 http://dx.doi.org/10.1109/DSD.2016.107
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StanislawDeniziak.html
LeszekCiopinski.html
http___link.springer.com_chapter_10.1007_978-3-319-40132-4_7 http://link.springer.com/chapter/10.1007/978-3-319-40132-4_7
http___dx.doi.org_10.1007_978-3-319-40132-4_7 http://dx.doi.org/10.1007/978-3-319-40132-4_7
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StanislawDeniziak.html
LeszekCiopinski.html
GrzegorzPawinski.html
http___link.springer.com_chapter_10.1007_978-3-319-46535-7_19 http://link.springer.com/chapter/10.1007/978-3-319-46535-7_19
http___dx.doi.org_10.1007_978-3-319-46535-7_19 http://dx.doi.org/10.1007/978-3-319-46535-7_19
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StanislawDeniziak.html
LeszekCiopinski.html
http___dx.doi.org_10.1109_EPMCCS.2018.8596421 http://dx.doi.org/10.1109/EPMCCS.2018.8596421
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StanislawDeniziak.html
LeszekCiopinski.html
http___dx.doi.org_10.1109_DDECS50862.2020.9095745 http://dx.doi.org/10.1109/DDECS50862.2020.9095745
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StanislawDeniziak.html
LeszekCiopinski.html
http___dx.doi.org_10.1016_j.microrel.2021.114184 http://dx.doi.org/10.1016/j.microrel.2021.114184
https___www.sciencedirect.com_science_article_pii_S0026271421001505 https://www.sciencedirect.com/science/article/pii/S0026271421001505
Denno:2017:ICMR Production System Identification with Genetic Programming
PeterDenno.html
CharlesDickerson.html
JenniferAnneHarding.html
https___core.ac.uk_download_pdf_288361323.pdf https://core.ac.uk/download/pdf/288361323.pdf
http___dx.doi.org_10.3233_978-1-61499-792-4-227 http://dx.doi.org/10.3233/978-1-61499-792-4-227
DENNO:2018:JMS Dynamic production system identification for smart manufacturing systems
PeterDenno.html
CharlesDickerson.html
JenniferAnneHarding.html
http___dx.doi.org_10.1016_j.jmsy.2018.04.006 http://dx.doi.org/10.1016/j.jmsy.2018.04.006
http___www.sciencedirect.com_science_article_pii_S0278612518300451 http://www.sciencedirect.com/science/article/pii/S0278612518300451
Deo2008340 Reply to: Discussion on "Genetic programming for retrieving missing information in wave records along the west coast of India" [Applied Ocean Research 2007; 29(3): 99-111]; A.H. Gandomi, A.H. Alavi, S.S. Sadat Hosseini
MCDeo.html
http___dx.doi.org_10.1016_j.apor.2009.02.002 http://dx.doi.org/10.1016/j.apor.2009.02.002
http___www.sciencedirect.com_science_article_B6V1V-4VY6FSK-1_2_70a6592b22ba65b93887b8122e985f75 http://www.sciencedirect.com/science/article/B6V1V-4VY6FSK-1/2/70a6592b22ba65b93887b8122e985f75
Deo:2008:IJTS Genetic Programming to Predict Spillway Scour
OmkarDeo.html
VJothiprakash.html
MCDeo.html
http___www.ceser.in_ceserp_index.php_ijts_article_view_110 http://www.ceser.in/ceserp/index.php/ijts/article/view/110
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RavineshCDeo.html
SujanGhimire.html
NathanJDowns.html
NawinRaj.html
http___dx.doi.org_10.4018_978-1-7998-8048-6 http://dx.doi.org/10.4018/978-1-7998-8048-6
http___dx.doi.org_10.4018_978-1-7998-8048-6.ch007 http://dx.doi.org/10.4018/978-1-7998-8048-6.ch007
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SushamnaDeodhar.html
AlisonAMotsinger.html
http___dx.doi.org_10.1007_978-3-642-12211-8 http://dx.doi.org/10.1007/978-3-642-12211-8
DBLP:conf/bracis/OliveiraM21 Improving Rule Based and Equivalent Decision Simplifications for Bloat Control in Genetic Programming Using a Dynamic Operator
GustavoFVdeOliveira.html
MarcusHSMendes.html
https___doi.org_10.1007_978-3-030-91702-9_16 https://doi.org/10.1007/978-3-030-91702-9_16
http___dx.doi.org_10.1007_978-3-030-91702-9_16 http://dx.doi.org/10.1007/978-3-030-91702-9_16
https___dblp.org_rec_conf_bracis_OliveiraM21.bib https://dblp.org/rec/conf/bracis/OliveiraM21.bib
deOliveira:2013:CEC A Genetic Programming Based Approach to Automatically Generate Wireless Sensor Networks Applications
RenatoResendeRibeirodeOliveira.html
TalesHeimfarth.html
RaphaelWincklerdeBettio.html
MarciodaSilvaArantes.html
ClaudioFabianoMottaToledo.html
http___dx.doi.org_10.1109_CEC.2013.6557775 http://dx.doi.org/10.1109/CEC.2013.6557775
deOliveira:masters Programacao genetica aplicada a geracao automatizada de aplicacoes para redes de sensores sem fio
RenatoResendeRibeirodeOliveira.html
http___repositorio.ufla.br_jspui_handle_1_2707 http://repositorio.ufla.br/jspui/handle/1/2707
dePaiva:2018:ieeeEEEIC Assessment of Exogenous Variables on Intra-Day Solar Irradiance Forecasting Models
GabrielMendoncadePaiva.html
SergioPiresPimentel.html
SoniaLeva.html
MarcoMussetta.html
http___dx.doi.org_10.1109_EEEIC.2018.8493938 http://dx.doi.org/10.1109/EEEIC.2018.8493938
DeRainville:2012:GECCOcomp DEAP: A Python Framework for Evolutionary Algorithms
Francois-MichelDeRainville.html
Felix-AntoineFortin.html
Marc-AndreGardner.html
MarcParizeau.html
ChristianGagne.html
http___dx.doi.org_10.1145_2330784.2330799 http://dx.doi.org/10.1145/2330784.2330799
https___github.com_deap https://github.com/deap
de-rainville_2012_sigevolution DEAP - Enabling Nimbler Evolutions
Francois-MichelDeRainville.html
Felix-AntoineFortin.html
Marc-AndreGardner.html
MarcParizeau.html
ChristianGagne.html
http___www.sigevolution.org_issues_pdf_SIGEVOlution0602.pdf http://www.sigevolution.org/issues/pdf/SIGEVOlution0602.pdf
https___github.com_DEAP_notebooks https://github.com/DEAP/notebooks
http___dx.doi.org_10.1145_2597453.2597455 http://dx.doi.org/10.1145/2597453.2597455
DERAKHSHANI:2017:OE Estimating uplift capacity of suction caissons in soft clay: A hybrid computational approach based on model tree and GP
AliDerakhshani.html
http___dx.doi.org_10.1016_j.oceaneng.2017.09.025 http://dx.doi.org/10.1016/j.oceaneng.2017.09.025
http___www.sciencedirect.com_science_article_pii_S0029801817305449 http://www.sciencedirect.com/science/article/pii/S0029801817305449
Derbel:2020:GECCOcomp Fitness Landscape Analysis to Understand and Predict Algorithm Performance for Single- and Multi-Objective Optimization
BilelDerbel.html
SebastienVerel.html
https___doi.org_10.1145_3377929.3389893 https://doi.org/10.1145/3377929.3389893
http___dx.doi.org_10.1145_3377929.3389893 http://dx.doi.org/10.1145/3377929.3389893
Derby:evoapps13 Cloud Driven Design of a Distributed Genetic Programming Platform
OwenCDerby.html
KalyanVeeramachaneni.html
Una-MayO'Reilly.html
http___dx.doi.org_10.1007_978-3-642-37192-9_51 http://dx.doi.org/10.1007/978-3-642-37192-9_51
deResende:2016:BRACIS Time Series Imputation Using Genetic Programming and Lagrange Interpolation
DamaresCOdeResende.html
AdamoLimadeSantana.html
FabioManoelFrancaLobato.html
http___dx.doi.org_10.1109_BRACIS.2016.040 http://dx.doi.org/10.1109/BRACIS.2016.040
Derghal:2018:SSD A Fuzzy Genetic Programming-Based Algorithm for Eco-Friendly and Economic Load Dispatch Problem
AbdellahDerghal.html
NoureddineGolea.html
http___dx.doi.org_10.1109_SSD.2018.8570619 http://dx.doi.org/10.1109/SSD.2018.8570619
Derner:2018:ICRA Data-driven Construction of Symbolic Process Models for Reinforcement Learning
ErikDerner.html
JiriKubalik.html
RobertBabuska.html
http___dx.doi.org_10.1109_ICRA.2018.8461182 http://dx.doi.org/10.1109/ICRA.2018.8461182
DERNER:2020:ASC Constructing parsimonious analytic models for dynamic systems via symbolic regression
ErikDerner.html
JiriKubalik.html
NicolaAncona.html
RobertBabuska.html
http___dx.doi.org_10.1016_j.asoc.2020.106432 http://dx.doi.org/10.1016/j.asoc.2020.106432
http___www.sciencedirect.com_science_article_pii_S1568494620303720 http://www.sciencedirect.com/science/article/pii/S1568494620303720
Derner:2021:IROS Guiding Robot Model Construction with Prior Features
ErikDerner.html
JiriKubalik.html
RobertBabuska.html
http___dx.doi.org_10.1109_IROS51168.2021.9635831 http://dx.doi.org/10.1109/IROS51168.2021.9635831
Derouich:2015:AA Unified numerical model of collisional depolarization and broadening rates that are due to hydrogen atom collisions
MoncefDerouich.html
AmrMohamedMahmoudKhairatRadi.html
PSBarklem.html
http___arxiv.org_abs_1508.06482 http://arxiv.org/abs/1508.06482
http___dx.doi.org_10.1051_0004-6361_201526661 http://dx.doi.org/10.1051/0004-6361/201526661
Derouich:2017:NA General model of depolarization and transfer of polarization of singly ionized atoms by collisions with hydrogen atoms
MoncefDerouich.html
http___dx.doi.org_10.1016_j.newast.2016.08.011 http://dx.doi.org/10.1016/j.newast.2016.08.011
http___www.sciencedirect.com_science_article_pii_S1384107616300756 http://www.sciencedirect.com/science/article/pii/S1384107616300756
derouich:2022:Universe Collisions of Electrons with Alkali, Alkaline and Complex Atoms Relevant to Solar and Stellar Atmospheres
MoncefDerouich.html
SalehQutub.html
FainanaMustajab.html
BadruddinZaheerAhmad.html
https___www.mdpi.com_2218-1997_8_12_613 https://www.mdpi.com/2218-1997/8/12/613
http___dx.doi.org_10.3390_universe8120613 http://dx.doi.org/10.3390/universe8120613
derrig:1998:deosc Deleting End-of-Sequence Classifiers
DanielDerrig.html
JamesJohannes.html
deSa:2017:EuroGP RECIPE: A Grammar-based Framework for Automatically Evolving Classification Pipelines
AlexGCdeSa.html
WalterJoseGoncalvesdaSilvaPinto.html
LuizOtavioVilasBoasOliveira.html
GiseleLPappa.html
https___github.com_laic-ufmg_Recipe https://github.com/laic-ufmg/Recipe
http___dx.doi.org_10.1007_978-3-319-55696-3_16 http://dx.doi.org/10.1007/978-3-319-55696-3_16
deSa:2018:PPSN Automated Selection and Configuration of Multi-Label Classification Algorithms with Grammar-based Genetic Programming
AlexGCdeSa.html
AlexAlvesFreitas.html
GiseleLPappa.html
https___www.springer.com_gp_book_9783319992587 https://www.springer.com/gp/book/9783319992587
http___dx.doi.org_10.1007_978-3-319-99259-4_25 http://dx.doi.org/10.1007/978-3-319-99259-4_25
deSa:2020:GECCO A Robust Experimental Evaluation of Automated Multi-Label Classification Methods
AlexGCdeSa.html
CristianoGuimaraesPimenta.html
GiseleLPappa.html
AlexAlvesFreitas.html
https___doi.org_10.1145_3377930.3390231 https://doi.org/10.1145/3377930.3390231
http___dx.doi.org_10.1145_3377930.3390231 http://dx.doi.org/10.1145/3377930.3390231
deschain:2000:ASTC Solving the Unsolved Using Machine Learning, Data Mining and Knowledge Discovery to Model a Complex Production Process
LarryMDeschaine.html
FredAZafran.html
JanardanJPatel.html
DavidAmick.html
RobertPettit.html
FrankDFrancone.html
PeterNordin.html
EdwardDilkes.html
LaureneVFausett.html
http___citeseer.ist.psu.edu_deschaine00solving.html http://citeseer.ist.psu.edu/deschaine00solving.html
Deschain:2001:ASTC Using Linear Genetic Programming to Develop a C/C++ Simulation Model of a Waste Incinerator
LarryMDeschaine.html
JanardanJPatel.html
RonaldDGuthrie.html
JosephTGrimski.html
MJAdes.html
http___www.aimlearning.com_Environmental.Engineering.pdf http://www.aimlearning.com/Environmental.Engineering.pdf
http___citeseer.ist.psu.edu_451766.html http://citeseer.ist.psu.edu/451766.html
http___citeseer.ist.psu.edu_396498.html http://citeseer.ist.psu.edu/396498.html
deschain:2000:PCAI Tackling Real-World Environmental Challenges with Linear Genetic Programming
LarryMDeschaine.html
http___www.pcai.com_web_issues_pcai_14_5_toc.html http://www.pcai.com/web/issues/pcai_14_5_toc.html
Deschaine:2001:PCAI Genetic Algorithms and Intelligent Agents Team Up: Techniques for Data Assembly, Preprocessing, Modeling, and Decision Optimization
LarryMDeschaine.html
JenniferMcCormack.html
DPyle.html
FrankDFrancone.html
http___www.pcai.com_web_indexes_index_vol_15.html http://www.pcai.com/web/indexes/index_vol_15.html
deschaine:2002:FEA Design Optimization Integrating the Outer Approximation Method with Process Simulators and Linear Genetic Programming
LarryMDeschaine.html
FrankDFrancone.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_deschaine_FEA_2002_Design_Optimization.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/deschaine/FEA_2002_Design_Optimization.pdf
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LarryMDeschaine.html
RichardAHoover.html
JosephNSkibinski.html
JanardanJPatel.html
FrankDFrancone.html
PeterNordin.html
MJAdes.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_deschaine_ASTC_2002_UXOFinder_Invention_Paper.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/deschaine/ASTC_2002_UXOFinder_Invention_Paper.pdf
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LarryMDeschaine.html
JanosDPinter.html
SudipRegmi.html
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LarryMDeschaine.html
http___www.immsp.kiev.ua_publications_eng_2003_3_4_index.html http://www.immsp.kiev.ua/publications/eng/2003_3_4/index.html
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LarryMDeschaine.html
FrankDFrancone.html
http___dx.doi.org_10.1007_1-84628-117-2_2 http://dx.doi.org/10.1007/1-84628-117-2_2
http___dx.doi.org_10.1007_1-84628-117-2_2 http://dx.doi.org/10.1007/1-84628-117-2_2
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LarryMDeschaine.html
http___www.mining-journal.com_gdi_magazine_pdf_GDI0605scr.pdf http://www.mining-journal.com/gdi_magazine/pdf/GDI0605scr.pdf
Deschaine:2006:euro Finding and Identifying Objects Based on Noisy Data: A Global Optimization Approach - Part 1: Theoretical Approach and Applicability with Deployment Examples; and Part 2 UXO Finding and Discrimination. Results from Field Production: Translation of R\&D work into Field Production Tools UXOMF
LarryMDeschaine.html
FrankDFrancone.html
JanosDPinter.html
MelissaCMcKay.html
JeffreyJWarren.html
SethBlanchard.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_Euro2006_Deschaine_Finding_Subsurface_Objects_of_Interest_6-29-06_Final.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/Euro2006_Deschaine_Finding_Subsurface_Objects_of_Interest_6-29-06_Final.pdf
https___www.euro-online.org_euro21_display.php_page_treate_abstract_frompage_edit_session_cluster_sessionid_661_paperid_3361 https://www.euro-online.org/euro21/display.php?page=treate_abstract&frompage=edit_session_cluster&sessionid=661&paperid=3361
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LarryMDeschaine.html
FrankDFrancone.html
http___www.rmltech.com_doclink_Comparison.White.Paper.pdf http://www.rmltech.com/doclink/Comparison.White.Paper.pdf
Deschaine:2008:GPEM Tina Yu, David Davis, Cem Baydar, Rajkumar Roy (eds): Evolutionary Computation in Practice: Studies in Computational Intelligence, Springer, 2008, 322 pp, ISBN 978-3-540-75770-2
LarryMDeschaine.html
http___dx.doi.org_10.1007_s10710-008-9068-8 http://dx.doi.org/10.1007/s10710-008-9068-8
Deschaine:2011:JMMS A computational geometric/information theoretic method to invert physics-based MEC models attributes for MEC discrimination
LarryMDeschaine.html
PeterNordin.html
JanosDPinter.html
http___www.immsp.kiev.ua_publications_eng_2011_2_ http://www.immsp.kiev.ua/publications/eng/2011_2/
http___dspace.nbuv.gov.ua_handle_123456789_83512 http://dspace.nbuv.gov.ua/handle/123456789/83512
http___dspace.nbuv.gov.ua_bitstream_handle_123456789_83512_05-Deschaine.pdf http://dspace.nbuv.gov.ua/bitstream/handle/123456789/83512/05-Deschaine.pdf
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LarryMDeschaine.html
http___publications.lib.chalmers.se_record_print-record_index.xsql_pubid_193490 http://publications.lib.chalmers.se/record/print-record/index.xsql?pubid=193490
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_deschaine_Deschaine-Chalmers-PhD-Feb-2014.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/deschaine/Deschaine-Chalmers-PhD-Feb-2014.pdf
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_deschaine_LarryDeschaine-Chalmers-2-27-2014-FinalForDefence-EM-shared.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/deschaine/LarryDeschaine-Chalmers-2-27-2014-FinalForDefence-EM-shared.pdf
Deshpande:2014:ICIIS Modeling the steel case carburizing quenching process using statistical and machine learning techniques
ParijatDDeshpande.html
UjjawalGupta.html
BPGautham.html
DanishKhan.html
http___dx.doi.org_10.1109_ICIINFS.2014.7036589 http://dx.doi.org/10.1109/ICIINFS.2014.7036589
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AnthonyMihiranadeSilva.html
FarzadNoorian.html
RichardIADavis.html
PhilipHengWaiLeong.html
http___ieeexplore.ieee.org_xpl_mostRecentIssue.jsp_punumber_6784147 http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=6784147
http___dx.doi.org_10.1109_ICMLA.2013.125 http://dx.doi.org/10.1109/ICMLA.2013.125
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MarceloDeSimone.html
LourdesMSSouza.html
DeaneRoehl.html
http___dx.doi.org_10.1016_j.ijrmms.2019.03.024 http://dx.doi.org/10.1016/j.ijrmms.2019.03.024
http___www.sciencedirect.com_science_article_pii_S1365160918307123 http://www.sciencedirect.com/science/article/pii/S1365160918307123
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KarolDesnos.html
NicolasSourbier.html
Pierre-YvesRaumer.html
OlivierGesny.html
MaximePelcat.html
https___arxiv.org_abs_2012.08296 https://arxiv.org/abs/2012.08296
https___hal.archives-ouvertes.fr_hal-03057652 https://hal.archives-ouvertes.fr/hal-03057652
https___hal.archives-ouvertes.fr_hal-03057652v2_document https://hal.archives-ouvertes.fr/hal-03057652v2/document
https___hal.archives-ouvertes.fr_hal-03057652v2_file_dasip.pdf https://hal.archives-ouvertes.fr/hal-03057652v2/file/dasip.pdf
http___dx.doi.org_10.1145_3441110.3441575 http://dx.doi.org/10.1145/3441110.3441575
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KarolDesnos.html
ThomasBourgoin.html
MickaelDardaillon.html
NicolasSourbier.html
OlivierGesny.html
MaximePelcat.html
http___dx.doi.org_10.1109_SiPS55645.2022.9919237 http://dx.doi.org/10.1109/SiPS55645.2022.9919237
deSousa:2004:GPEM An Immune-Evolutionary Algorithm for Multiple Rearrangements of Gene Expression Data
JanainaSdeSousa.html
LalinkadeCTGomes.html
GeorgeBBezerra.html
LeandroNunesdeCastro.html
FernandoJoseVonZuben.html
http___dx.doi.org_10.1023_B_GENP.0000023686.59617.57 http://dx.doi.org/10.1023/B:GENP.0000023686.59617.57
deSousaAdelinodaFonseca:thesis Manutencao de sistemas de geracao de energia renovavel eolica atraves de Redes IP
InaciodeSousaAdelinodaFonseca.html
https___hdl.handle.net_10216_57490 https://hdl.handle.net/10216/57490
https___repositorio-aberto.up.pt_handle_10216_57490 https://repositorio-aberto.up.pt/handle/10216/57490
https___repositorio-aberto.up.pt_bitstream_10216_57490_1_000140049.pdf https://repositorio-aberto.up.pt/bitstream/10216/57490/1/000140049.pdf
deSouza:2009:EC Genetic Programming and Boosting Technique to Improve Time Series Forecasting
LuziaVidaldeSouza.html
AuroraTrinidadRamirezPozo.html
AnselmoChavesNeto.html
JoelMauricioCorreadaRosa.html
http___www.intechopen.com_download_pdf_pdfs_id_10932 http://www.intechopen.com/download/pdf/pdfs_id/10932
http___www.intechopen.com_articles_show_title_genetic-programming-and-boosting-technique-to-improve-time-series-forecasting http://www.intechopen.com/articles/show/title/genetic-programming-and-boosting-technique-to-improve-time-series-forecasting
http___dx.doi.org_10.5772_9617 http://dx.doi.org/10.5772/9617
deSouza:2010:AI Applying correlation to enhance boosting technique using genetic programming as base learner
LuziaVidaldeSouza.html
AuroraTrinidadRamirezPozo.html
JoelMauricioCorreadaRosa.html
AnselmoChavesNeto.html
http___dx.doi.org_10.1007_s10489-009-0166-y http://dx.doi.org/10.1007/s10489-009-0166-y
deSouza:2018:evocop Automatic Grammar-Based Design of Heuristic Algorithms for Unconstrained Binary Quadratic Programming
MarcelodeSouza.html
MarcusRitt.html
http___dx.doi.org_10.1007_978-3-319-77449-7_5 http://dx.doi.org/10.1007/978-3-319-77449-7_5
deSouza:2018:CEC An Automatically Designed Recombination Heuristic for the Test-Assignment Problem
MarcelodeSouza.html
MarcusRitt.html
http___human-competitive.org_sites_default_files_souza-ritt-paper.pdf http://human-competitive.org/sites/default/files/souza-ritt-paper.pdf
http___dx.doi.org_10.1109_CEC.2018.8477801 http://dx.doi.org/10.1109/CEC.2018.8477801
Dessi:tesi Automatic subroutine discovery in Genetic Programming (Text In Italian)
AntonelloDessi.html
http___web.mclink.it_MC2657_tesi.html http://web.mclink.it/MC2657/tesi.html
http___web.mclink.it_MC2657_file_tesi.zip http://web.mclink.it/MC2657/file/tesi.zip
dessi:1999:AAASDGP An Analysis of Automatic Subroutine Discovery in Genetic Programming
AntonelloDessi.html
AntonellaGiani.html
AntoninaStarita.html
http___gpbib.cs.ucl.ac.uk_gecco1999_GP-432.pdf http://gpbib.cs.ucl.ac.uk/gecco1999/GP-432.pdf
http___gpbib.cs.ucl.ac.uk_gecco1999_GP-432.ps http://gpbib.cs.ucl.ac.uk/gecco1999/GP-432.ps
DeStefano:2001:VF Grouping Character Shapes by Means of Genetic Programming
ClaudioDeStefano.html
AntonioDellaCioppa.html
AngeloMarcelli.html
FMatarazzo.html
http___link.springer.com_chapter_10.1007_3-540-45129-3_46 http://link.springer.com/chapter/10.1007/3-540-45129-3_46
http___dx.doi.org_10.1007_3-540-45129-3_46 http://dx.doi.org/10.1007/3-540-45129-3_46
DeStefano:2002:PRL Character preclassification based on genetic programming
ClaudioDeStefano.html
AntonioDellaCioppa.html
AngeloMarcelli.html
http___www.sciencedirect.com_science_article_B6V15-45J91MV-4_2_3e5c2ac0c51428d0f7ea9fc0142f6790 http://www.sciencedirect.com/science/article/B6V15-45J91MV-4/2/3e5c2ac0c51428d0f7ea9fc0142f6790
http___dx.doi.org_10.1016_S0167-8655_02_00104-6 http://dx.doi.org/10.1016/S0167-8655(02)00104-6
DeStefano:2011:GECCOcomp Using Bayesian networks for selecting classifiers in GP ensembles
ClaudioDeStefano.html
GianluigiFolino.html
FrancescoRFontanella.html
AlessandraScottodiFreca.html
http___dx.doi.org_10.1145_2001858.2001955 http://dx.doi.org/10.1145/2001858.2001955
DeStefano:2011:MCS A Bayesian Approach for Combining Ensembles of GP Classifiers
ClaudioDeStefano.html
FrancescoRFontanella.html
GianluigiFolino.html
AlessandraScottodiFreca.html
http___dx.doi.org_10.1007_978-3-642-21557-5_5 http://dx.doi.org/10.1007/978-3-642-21557-5_5
conf/ppsn/StefanoFFF12 Pruning GP-Based Classifier Ensembles by Bayesian Networks
ClaudioDeStefano.html
GianluigiFolino.html
FrancescoRFontanella.html
AlessandraScottodiFreca.html
http___dx.doi.org_10.1007_978-3-642-32937-1_24 http://dx.doi.org/10.1007/978-3-642-32937-1_24
DeStefano:2014:IS Using Bayesian networks for selecting classifiers in GP ensembles
ClaudioDeStefano.html
GianluigiFolino.html
FrancescoRFontanella.html
AlessandraScottodiFreca.html
http___dx.doi.org_10.1016_j.ins.2013.09.049 http://dx.doi.org/10.1016/j.ins.2013.09.049
http___www.sciencedirect.com_science_article_pii_S0020025513007184 http://www.sciencedirect.com/science/article/pii/S0020025513007184
devaney:1995:mpimake Converting pvmmake to mpimake under LAM, and MPI and Parallel Genetic Programming
JudithEDevaney.html
http___www.cse.nd.edu_mpidc95_proceedings_papers_postscript_devaney.ps http://www.cse.nd.edu/mpidc95/proceedings/papers/postscript/devaney.ps
http___citeseer.ist.psu.edu_devaney95experience.html http://citeseer.ist.psu.edu/devaney95experience.html
devaney:2001:gpe A Genetic Programming Ecosystem
JudithEDevaney.html
JohnGHagedorn.html
OlivierNicolas.html
GaganGarg.html
AurelienSamson.html
MartialMichel.html
http___math.nist.gov_mcsd_savg_papers_bio.pdf http://math.nist.gov/mcsd/savg/papers/bio.pdf
http___math.nist.gov_mcsd_savg_papers_bio.pp.gz http://math.nist.gov/mcsd/savg/papers/bio.pp.gz
devaney:2002:gecco:lbp The Role of Genetic Programming in Describing the Microscopic Structure of Hydrating Plaster
JudithEDevaney.html
JohnGHagedorn.html
conf/dis/DevaneyH02 Discovery in Hydrating Plaster Using Machine Learning Methods
JudithEDevaney.html
JohnGHagedorn.html
http___math.nist.gov_mcsd_savg_papers_discov2002.pdf http://math.nist.gov/mcsd/savg/papers/discov2002.pdf
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.138.2341 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.138.2341
http___dx.doi.org_10.1007_3-540-36182-0_7 http://dx.doi.org/10.1007/3-540-36182-0_7
DEVARRIYA:2020:ESA Unbalanced breast cancer data classification using novel fitness functions in genetic programming
DivyaanshDevarriya.html
CairoGulati.html
VidhiMansharamani.html
AditiSakalle.html
ArpitBhardwaj.html
http___www.sciencedirect.com_science_article_pii_S0957417419305767 http://www.sciencedirect.com/science/article/pii/S0957417419305767
http___dx.doi.org_10.1016_j.eswa.2019.112866 http://dx.doi.org/10.1016/j.eswa.2019.112866
eurogp06:DevertBredecheSchoenauer Blindbuilder : A new encoding to evolve Lego-like structures
AlexandreDevert.html
NicolasBredeche.html
MarcSchoenauer.html
http___hal.ccsd.cnrs.fr_docs_00_05_44_74_PDF_article.pdf http://hal.ccsd.cnrs.fr/docs/00/05/44/74/PDF/article.pdf
http___hal.inria.fr_inria-00000995_en_ http://hal.inria.fr/inria-00000995/en/
http___dx.doi.org_10.1007_11729976_6 http://dx.doi.org/10.1007/11729976_6
Devert:2006:ASPGP Evolution design of buildable objects with blind builder: an empirical study
AlexandreDevert.html
NicolasBredeche.html
MarcSchoenauer.html
http___gpbib.cs.ucl.ac.uk_aspgp06_devert-bredeche-schoenauer-ASPGP2006.pdf http://gpbib.cs.ucl.ac.uk/aspgp06/devert-bredeche-schoenauer-ASPGP2006.pdf
deVisscher:2011:arXiv Automatic anomaly detection in high energy collider data
SimondeVisscher.html
MichelHerquet.html
http___arxiv.org_abs_1104.2404 http://arxiv.org/abs/1104.2404
devra:2018:QIP Efficient experimental design of high-fidelity three-qubit quantum gates via genetic programming
AmitDevra.html
PrithvirajPrabhu.html
HarpreetSingh.html
Arvind.html
KavitaDorai.html
https___ui.adsabs.harvard.edu_abs_2018QuIP...17...67D_abstract https://ui.adsabs.harvard.edu/abs/2018QuIP...17...67D/abstract
http___link.springer.com_article_10.1007_s11128-018-1835-8 http://link.springer.com/article/10.1007/s11128-018-1835-8
http___dx.doi.org_10.1007_s11128-018-1835-8 http://dx.doi.org/10.1007/s11128-018-1835-8
devries:2014:plosone A Data-Driven Approach to Reverse Engineering Customer Engagement Models: Towards Functional Constructs
NatalieJanedeVries.html
JamieCarlson.html
PabloMoscato.html
http___dx.doi.org_10.1371_journal.pone.0102768 http://dx.doi.org/10.1371/journal.pone.0102768
devries:2015:plosone Clustering Consumers Based on Trust, Confidence and Giving Behaviour: Data-Driven Model Building for Charitable Involvement in the Australian Not-For-Profit Sector
NatalieJanedeVries.html
RodrigoReis.html
PabloMoscato.html
http___dx.doi.org_10.1371_journal.pone.0122133 http://dx.doi.org/10.1371/journal.pone.0122133
deVries2019:chpt2 Consumer Behaviour and Marketing Fundamentals for Business Data Analytics
NatalieJanedeVries.html
PabloMoscato.html
http___dx.doi.org_10.1007_978-3-030-06222-4_2 http://dx.doi.org/10.1007/978-3-030-06222-4_2
deVries2019:chpt3 Introducing Clustering with a Focus in Marketing and Consumer Analysis
NatalieJanedeVries.html
LukaszPOlech.html
PabloMoscato.html
http___dx.doi.org_10.1007_978-3-030-06222-4_3 http://dx.doi.org/10.1007/978-3-030-06222-4_3
deVries2019:chpt5 Clustering Consumers and Cluster-Specific Behavioural Models
NatalieJanedeVries.html
JamieCarlson.html
PabloMoscato.html
http___dx.doi.org_10.1007_978-3-030-06222-4_5 http://dx.doi.org/10.1007/978-3-030-06222-4_5
devylder:2003:gecco:workshop Learning of Manipulation Behaviour by Demonstration using Genetic Programming
BartDeVylder.html
dewell:1999:gnc Low-Thrust Orbit Transfer Optimization Using Genetic Search
LarryDDewell.html
PKMenon.html
http___www.optisyn.com_research_papers_papers_1999_gnc_99.pdf http://www.optisyn.com/research/papers/papers/1999/gnc_99.pdf
http___citeseer.ist.psu.edu_513854.html http://citeseer.ist.psu.edu/513854.html
david-dewhurst-phd-dissertation Essays on modeling and analysis of dynamic sociotechnical systems
DavidRushingDewhurst.html
https___cdanfort.w3.uvm.edu_research_david-dewhurst-phd-dissertation.pdf https://cdanfort.w3.uvm.edu/research/david-dewhurst-phd-dissertation.pdf
Dey:2017:JAC Design of novel age-hardenable aluminium alloy using evolutionary computation
SwatiDey.html
ParthaPratimDey.html
ShubhabrataDatta.html
http___dx.doi.org_10.1016_j.jallcom.2017.02.027 http://dx.doi.org/10.1016/j.jallcom.2017.02.027
http___www.sciencedirect.com_science_article_pii_S0925838817304425 http://www.sciencedirect.com/science/article/pii/S0925838817304425
kinnear:DHaeseleer Effects of Locality in Individual and Population Evolution
PatrikD'haeseleer.html
JasonBluming.html
http___www.amazon.co.uk_Advances-Genetic-Programming-Complex-Adaptive_dp_0262111888 http://www.amazon.co.uk/Advances-Genetic-Programming-Complex-Adaptive/dp/0262111888
http___cognet.mit.edu_sites_default_files_books_9780262277181_pdfs_9780262277181_chap8.pdf http://cognet.mit.edu/sites/default/files/books/9780262277181/pdfs/9780262277181_chap8.pdf
http___dx.doi.org_10.7551_mitpress_1108.003.0013 http://dx.doi.org/10.7551/mitpress/1108.003.0013
Dhaeseleer:1994:cpcGP Context preserving crossover in genetic programming
PatrikD'haeseleer.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_ftp.io.com_papers_WCCI94_CPC.ps.Z http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/ftp.io.com/papers/WCCI94_CPC.ps.Z
http___www.cs.unm.edu__patrik_WCCI94_CPC.mac.ps http://www.cs.unm.edu/~patrik/WCCI94_CPC.mac.ps
http___dx.doi.org_10.1109_ICEC.1994.350006 http://dx.doi.org/10.1109/ICEC.1994.350006
Dharma:1997:amctsa Automatic Model Construction for Time Series Analysis via Genetic Algorithm
PrisdhaDharma.html
dhingra:2002:ESIDAO Evolution of Simple Intelligence Distribution in Artificial Organisms
PhilipDhingra.html
http___www.genetic-programming.org_sp2002_Dhingra.pdf http://www.genetic-programming.org/sp2002/Dhingra.pdf
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.141.1093 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.141.1093
Di2009612 Dynamic Simulations of Nonlinear Multi-Domain Systems Based on Genetic Programming and Bond Graphs
WenhuiDi.html
BoSun.html
LixinXu.html
http___dx.doi.org_10.1016_S1007-0214_09_70125-7 http://dx.doi.org/10.1016/S1007-0214(09)70125-7
http___www.sciencedirect.com_science_article_B7RKT-4XBR35X-B_2_f79f7984ea487a2629d93cc7ae6e2651 http://www.sciencedirect.com/science/article/B7RKT-4XBR35X-B/2/f79f7984ea487a2629d93cc7ae6e2651
Di-Capua:2023:ISCAS A Behavioral Model for Lithium Batteries based on Genetic Programming
GiuliaDiCapua.html
NunzioOliva.html
FilippoMilano.html
CarmineBourelly.html
FrancescoPorpora.html
AntonioMaffucci.html
NicolaFemia.html
http___dx.doi.org_10.1109_ISCAS46773.2023.10181456 http://dx.doi.org/10.1109/ISCAS46773.2023.10181456
Dias:2017:SLAAI On Optimizing Deep Convolutional Neural Networks by Evolutionary Computing
MUBigumjithDias.html
DedimuniDeSilva.html
SubhaFernando.html
https___arxiv.org_abs_1808.01766 https://arxiv.org/abs/1808.01766
http___slaai.lk_proc_2017_s1705.pdf http://slaai.lk/proc/2017/s1705.pdf
Diaz-Alvarez:2016:SC Optimizing L1 cache for embedded systems through grammatical evolution
JosefaDiazAlvarez.html
JManuelColmenar.html
JoseLRisco-Martin.html
JLanchares.html
OscarGarnica.html
http___dx.doi.org_10.1007_s00500-015-1653-1 http://dx.doi.org/10.1007/s00500-015-1653-1
DIAZALVAREZ2017 Evolutionary design of the memory subsystem
JosefaDiazAlvarez.html
JoseLRisco-Martin.html
JManuelColmenar.html
http___www.sciencedirect.com_science_article_pii_S1568494617305860 http://www.sciencedirect.com/science/article/pii/S1568494617305860
http___dx.doi.org_10.1016_j.asoc.2017.09.047 http://dx.doi.org/10.1016/j.asoc.2017.09.047
Diaz-Alvarez:2018:ComSIS A Fuzzy Rule-Based System to Predict Energy Consumption of Genetic Programming Algorithms
JosefaDiazAlvarez.html
FranciscoChavezdelaO.html
PedroACastilloValdivieso.html
JoseAntonioGarciaMunoz.html
FranciscoJavierRodriguezDiaz.html
FranciscoFernandezdeVega.html
http___www.comsis.org_pdf.php_id_6908 http://www.comsis.org/pdf.php?id=6908
http___dx.doi.org_10.2298_CSIS180110026A http://dx.doi.org/10.2298/CSIS180110026A
Diaz-Alvarez:2022:MC Population size influence on the energy consumption of genetic programming
JosefaDiazAlvarez.html
PedroACastilloValdivieso.html
FranciscoFernandezdeVega.html
FranciscoChavezdelaO.html
JorgeAlvarado.html
https___journals.sagepub.com_doi_pdf_10.1177_00202940211064471 https://journals.sagepub.com/doi/pdf/10.1177/00202940211064471
http___dx.doi.org_10.1177_00202940211064471 http://dx.doi.org/10.1177/00202940211064471
DiCapua:2016:IECON Genetic programming approach for identification of ferrite inductors power loss models
GiuliaDiCapua.html
NicolaFemia.html
MarioMigliaro.html
KaterynaStoyka.html
http___dx.doi.org_10.1109_IECON.2016.7793000 http://dx.doi.org/10.1109/IECON.2016.7793000
DiCapua:2018:SMACD Loss Behavioral Modeling for Ferrite Inductors
GiuliaDiCapua.html
NicolaFemia.html
KaterynaStoyka.html
http___dx.doi.org_10.1109_SMACD.2018.8434859 http://dx.doi.org/10.1109/SMACD.2018.8434859
Di-Capua:2020:IE Mutual Inductance Behavioral Modeling for Wireless Power Transfer System Coils
GiuliaDiCapua.html
NicolaFemia.html
KaterynaStoyka.html
GennaroDiMambro.html
AntonioMaffucci.html
SalvatoreVentre.html
FabioVillone.html
http___dx.doi.org_10.1109_TIE.2019.2962432 http://dx.doi.org/10.1109/TIE.2019.2962432
DiCapua:2021:Sustainability Analysis of Dynamic Wireless Power Transfer Systems Based on Behavioral Modeling of Mutual Inductance
GiuliaDiCapua.html
AntonioMaffucci.html
KaterynaStoyka.html
GennaroDiMambro.html
SalvatoreVentre.html
VincenzoCirimele.html
FabioFreschi.html
FabioVillone.html
NicolaFemia.html
https___www.mdpi.com_2071-1050_13_5_2556 https://www.mdpi.com/2071-1050/13/5/2556
http___dx.doi.org_10.3390_su13052556 http://dx.doi.org/10.3390/su13052556
DiCapua:2022:WIVACE Modeling of Ferrite Inductors Power Loss Based on Genetic Programming and Neural Networks
GiuliaDiCapua.html
MarioMolinara.html
FrancescoRFontanella.html
ClaudioDeStefano.html
NunzioOliva.html
NicolaFemia.html
http___dx.doi.org_10.1007_978-3-031-31183-3_20 http://dx.doi.org/10.1007/978-3-031-31183-3_20
DiCapua:2023:evoapplications Using Genetic Programming to Learn Behavioral Models of Lithium Batteries
GiuliaDiCapua.html
CarmineBourelly.html
ClaudioDeStefano.html
FrancescoRFontanella.html
FilippoMilano.html
MarioMolinara.html
NunzioOliva.html
FrancescoPorpora.html
http___dx.doi.org_10.1007_978-3-031-30229-9_30 http://dx.doi.org/10.1007/978-3-031-30229-9_30
dichio:2005:gecco Exploring extended particle swarms: a genetic programming approach
RiccardoPoli.html
CeciliaDiChio.html
WilliamBLangdon.html
http___www.cs.essex.ac.uk_staff_poli_papers_geccopso2005.pdf http://www.cs.essex.ac.uk/staff/poli/papers/geccopso2005.pdf
http___gpbib.cs.ucl.ac.uk_gecco2005_docs_p169.pdf http://gpbib.cs.ucl.ac.uk/gecco2005/docs/p169.pdf
http___dx.doi.org_10.1145_1068009.1068036 http://dx.doi.org/10.1145/1068009.1068036
DiChio:2005:gsice Evolution of Force-Generating Equations for PSO using GP
CeciliaDiChio.html
RiccardoPoli.html
WilliamBLangdon.html
http___www.cs.essex.ac.uk_staff_poli_papers_gsice2005.pdf http://www.cs.essex.ac.uk/staff/poli/papers/gsice2005.pdf
DiChio:2006:evophd Extended Particle Swarm to Simulate Biology-Like Systems
CeciliaDiChio.html
http___www.vanhemert.co.uk_publications_EvoPhD2006.pdf http://www.vanhemert.co.uk/publications/EvoPhD2006.pdf
eurogp07:DiChio Group-Foraging with Particle Swarms and Genetic Programming
CeciliaDiChio.html
PaoloDiChio.html
http___dx.doi.org_10.1007_978-3-540-71605-1_31 http://dx.doi.org/10.1007/978-3-540-71605-1_31
dick:2013:EuroGP Controlling Bloat through Parsimonious Elitist Replacement and Spatial Structure
GrantDick.html
PeterAlexanderWhigham.html
http___dx.doi.org_10.1007_978-3-642-37207-0_2 http://dx.doi.org/10.1007/978-3-642-37207-0_2
Dick:2013:GECCOa An effective parse tree representation for tartarus
GrantDick.html
http___dx.doi.org_10.1145_2463372.2463497 http://dx.doi.org/10.1145/2463372.2463497
Dick:2014:CEC Model Representation and Cooperative Coevolution for Finite-State Machine Evolution
GrantDick.html
XinYao.html
http___dx.doi.org_10.1109_CEC.2014.6900622 http://dx.doi.org/10.1109/CEC.2014.6900622
Dick:2014:SEAL Proceedings 10th International Conference on Simulated Evolution and Learning, SEAL 2014
GrantDick.html
WillNBrowne.html
PeterAlexanderWhigham.html
MengjieZhang.html
LamThuBui.html
HisaoIshibuchi.html
YaochuJin.html
XiaodongLi.html
YuhuiShi.html
PramodSingh.html
KayChenTan.html
KeTang.html
http___dx.doi.org_10.1007_978-3-319-13563-2 http://dx.doi.org/10.1007/978-3-319-13563-2
Dick:2015:EuroGP Improving Geometric Semantic Genetic Programming with Safe Tree Initialisation
GrantDick.html
http___dx.doi.org_10.1007_978-3-319-16501-1_3 http://dx.doi.org/10.1007/978-3-319-16501-1_3
Dick:2015:GECCO A Re-Examination of the Use of Genetic Programming on the Oral Bioavailability Problem
GrantDick.html
AyshaRimoni.html
PeterAlexanderWhigham.html
http___doi.acm.org_10.1145_2739480.2754771 http://doi.acm.org/10.1145/2739480.2754771
http___dx.doi.org_10.1145_2739480.2754771 http://dx.doi.org/10.1145/2739480.2754771
Dick:2017:GECCO Sensitivity-like Analysis for Feature Selection in Genetic Programming
GrantDick.html
http___doi.acm.org_10.1145_3071178.3071338 http://doi.acm.org/10.1145/3071178.3071338
http___dx.doi.org_10.1145_3071178.3071338 http://dx.doi.org/10.1145/3071178.3071338
Dick:2017:GECCOa Revisiting Interval Arithmetic for Regression Problems in Genetic Programming
GrantDick.html
http___doi.acm.org_10.1145_3067695.3076107 http://doi.acm.org/10.1145/3067695.3076107
http___dx.doi.org_10.1145_3067695.3076107 http://dx.doi.org/10.1145/3067695.3076107
Dick:2020:GECCO Feature Standardisation and Coefficient Optimisation for Effective Symbolic Regression
GrantDick.html
CaitlinAOwen.html
PeterAlexanderWhigham.html
https___doi.org_10.1145_3377930.3390237 https://doi.org/10.1145/3377930.3390237
http___dx.doi.org_10.1145_3377930.3390237 http://dx.doi.org/10.1145/3377930.3390237
dick:2022:SymReg Genetic Programming, Standardisation, and Stochastic Gradient Descent Revisited: Initial Findings on SRBench
GrantDick.html
http___dx.doi.org_10.1145_3520304.3534040 http://dx.doi.org/10.1145/3520304.3534040
dick:2024:GPEM An ensemble learning interpretation of geometric semantic genetic programming
GrantDick.html
http___dx.doi.org_10.1007_s10710-024-09482-6 http://dx.doi.org/10.1007/s10710-024-09482-6
dickinson:1994:d-i Evolution of Damage-Immune Programs using Genetic Programming
AndrewDickinson.html
dickson:1999:EOGASS Evolution of Optimum Genetic Algorithms for Specific Spaces
AndrewDickson.html
Diez-Garcia:2019:evocop A Unifying View on Recombination Spaces and Abstract Convex Evolutionary Search
MarcosDiezGarcia.html
AlbertoMoraglio.html
https___ore.exeter.ac.uk_repository_bitstream_handle_10871_35845_marcos-diez-garcia_alberto-moraglio_accepted-evocop-2019.pdf https://ore.exeter.ac.uk/repository/bitstream/handle/10871/35845/marcos-diez-garcia_alberto-moraglio_accepted-evocop-2019.pdf
http___hdl.handle.net_10871_35845 http://hdl.handle.net/10871/35845
http___dx.doi.org_10.1007_978-3-030-16711-0_12 http://dx.doi.org/10.1007/978-3-030-16711-0_12
Diez-GarciaM Unifying a Geometric Framework of Evolutionary Algorithms and Elementary Landscapes Theory
MarcosDiezGarcia.html
https___ore.exeter.ac.uk_repository_bitstream_handle_10871_126174_Diez-GarciaM.pdf https://ore.exeter.ac.uk/repository/bitstream/handle/10871/126174/Diez-GarciaM.pdf
dignum:2004:CSM400 Multi-agent Foreign Exchange Market Modelling via GP
StephenDignum.html
RiccardoPoli.html
http___cswww.essex.ac.uk_technical-reports_2004_csm400.pdf http://cswww.essex.ac.uk/technical-reports/2004/csm400.pdf
dignum:mfe:gecco2004 Multi-agent Foreign Exchange Market Modelling Via GP
StephenDignum.html
RiccardoPoli.html
http___dx.doi.org_10.1007_b98643 http://dx.doi.org/10.1007/b98643
1277277 Generalisation of the limiting distribution of program sizes in tree-based genetic programming and analysis of its effects on bloat
StephenDignum.html
RiccardoPoli.html
http___gpbib.cs.ucl.ac.uk_gecco2007_docs_p1588.pdf http://gpbib.cs.ucl.ac.uk/gecco2007/docs/p1588.pdf
http___dx.doi.org_10.1145_1276958.1277277 http://dx.doi.org/10.1145/1276958.1277277
Dignum:2008:eurogp Operator Equalisation and Bloat Free GP
StephenDignum.html
RiccardoPoli.html
http___dx.doi.org_10.1007_978-3-540-78671-9_10 http://dx.doi.org/10.1007/978-3-540-78671-9_10
Dignum:2008:eurogp2 Crossover, Sampling, Bloat and the Harmful Effects of Size Limits
StephenDignum.html
RiccardoPoli.html
http___dx.doi.org_10.1007_978-3-540-78671-9_14 http://dx.doi.org/10.1007/978-3-540-78671-9_14
Dignum:2008:EvoPHD An Analysis of Genetic Programming Operator Bias regarding the Sampling of Program Size with Potential Applications
StephenDignum.html
Dignum:2008:PPSN Sub-Tree Swapping Crossover, Allele Diffusion and GP Convergence
StephenDignum.html
RiccardoPoli.html
http___dx.doi.org_10.1007_978-3-540-87700-4_37 http://dx.doi.org/10.1007/978-3-540-87700-4_37
dignum:phdthesis An analysis of genetic programming sub-tree swapping crossover with applications
StephenDignum.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_dignum_phdthesis.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/dignum_phdthesis.pdf
https___ethos.bl.uk_OrderDetails.do_uin_uk.bl.ethos.494360 https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.494360
Dignum:2010:EuroGP Sub-Tree Swapping Crossover and Arity Histogram Distributions
StephenDignum.html
RiccardoPoli.html
http___dx.doi.org_10.1007_978-3-642-12148-7_4 http://dx.doi.org/10.1007/978-3-642-12148-7_4
journals/nca/Dikmen15 Gene expression programming strategy for estimation performance of LiBr-H2O absorption cooling system
ErkanDikmen.html
http___dx.doi.org_10.1007_s00521-014-1723-9 http://dx.doi.org/10.1007/s00521-014-1723-9
Dill:1997:PACRIM Genetic programming and its applications to the synthesis of digital logic
KarenMDill.html
JamesHHerzog.html
MarekAPerkowski.html
http___dx.doi.org_10.1109_PACRIM.1997.620386 http://dx.doi.org/10.1109/PACRIM.1997.620386
dillon:1995:EGASSSTP Evolution of General Algorithmic Solutions for Simple Sliding Tile Puzzles
ThomasDillon.html
dimberg:2016:& A Comparison Between Regression Models and Genetic Programming for Predictions of Chlorophyll-a Concentrations in Northern Lakes
PeterHDimberg.html
ChristoferJOlofsson.html
http___link.springer.com_article_10.1007_s10666-015-9480-4 http://link.springer.com/article/10.1007/s10666-015-9480-4
http___dx.doi.org_10.1007_s10666-015-9480-4 http://dx.doi.org/10.1007/s10666-015-9480-4
Dimitriu:2009:MMP Strength of Ferritic Steels: Neural Networks and Genetic Programming
RaduCalinDimitriu.html
HarryBhadeshia.html
CyrilFillon.html
CarloPoloni.html
http___www.msm.cam.ac.uk_phasetrans_2009_Dimitriu.html http://www.msm.cam.ac.uk/phasetrans/2009/Dimitriu.html
http___dx.doi.org_10.1080_10426910802539796 http://dx.doi.org/10.1080/10426910802539796
dimopoulos:1999:ESPGPF Evolving Scheduling Policies through a Genetic Programming Framework
ChristosDimopoulos.html
AliMSZalzala.html
http___gpbib.cs.ucl.ac.uk_gecco1999_GP-448.pdf http://gpbib.cs.ucl.ac.uk/gecco1999/GP-448.pdf
http___gpbib.cs.ucl.ac.uk_gecco1999_GP-448.ps http://gpbib.cs.ucl.ac.uk/gecco1999/GP-448.ps
dimopoulos:1999:AGPHOTTP A Genetic Programming Heuristic for the One-Machine Total Tardiness Problem
ChristosDimopoulos.html
AliMSZalzala.html
http___dx.doi.org_10.1109_CEC.1999.785549 http://dx.doi.org/10.1109/CEC.1999.785549
chrnei99 Genetic programming for cellular manufacturing
ChristosDimopoulos.html
NeilMort.html
http___www.pickabook.co.uk_9781899274239.aspx http://www.pickabook.co.uk/9781899274239.aspx
chrams00 Recent developments in evolutionary computation for manufacturing optimisation: problems, solutions and comparisons
ChristosDimopoulos.html
AliMSZalzala.html
http___dx.doi.org_10.1109_4235.850651 http://dx.doi.org/10.1109/4235.850651
chrnei00 Solving cell-formation problems under alternative quality criteria and constraints with a genetic programming-based hierarchical clustering algorithm
ChristosDimopoulos.html
NeilMort.html
dimmort00 Evolving similarity coefficients for the solution of cellular manufacturing problems
ChristosDimopoulos.html
NeilMort.html
http___dx.doi.org_10.1109_CEC.2000.870355 http://dx.doi.org/10.1109/CEC.2000.870355
dimmortacd A genetic programming-based hierarchical clustering procedure for the solution of the cell-formation problem
ChristosDimopoulos.html
NeilMort.html
http___www.springer.com_engineering_mechanical_engineering_book_978-1-85233-300-3 http://www.springer.com/engineering/mechanical+engineering/book/978-1-85233-300-3
http___www.amazon.co.uk_Evolutionary-Design-Manufacture-Selected-Papers_dp_1852333006 http://www.amazon.co.uk/Evolutionary-Design-Manufacture-Selected-Papers/dp/1852333006
http___dx.doi.org_10.1007_978-1-4471-0519-0_17 http://dx.doi.org/10.1007/978-1-4471-0519-0_17
DBLP:phd/ethos/Dimopoulos00 Genetic programming for manufacturing optimisation
ChristosDimopoulos.html
http___etheses.whiterose.ac.uk_24962_ http://etheses.whiterose.ac.uk/24962/
http___etheses.whiterose.ac.uk_24962_1_327668.pdf http://etheses.whiterose.ac.uk/24962/1/327668.pdf
http___ethos.bl.uk_OrderDetails.do_uin_uk.bl.ethos.327668 http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.327668
https___dblp.org_rec_phd_ethos_Dimopoulos00.bib https://dblp.org/rec/phd/ethos/Dimopoulos00.bib
Dimopoulos:2001:AES Investigating the use of genetic programming for a classic one-machine scheduling problem
ChristosDimopoulos.html
AliMSZalzala.html
http___www.sciencedirect.com_science_article_B6V1P-42YFC02-7_1_6be8f2e3206dccb17801b7a7833a6299 http://www.sciencedirect.com/science/article/B6V1P-42YFC02-7/1/6be8f2e3206dccb17801b7a7833a6299
http___dx.doi.org_10.1016_S0965-9978_00_00109-5 http://dx.doi.org/10.1016/S0965-9978(00)00109-5
chrnei01 A hierarchical clustering methodology based on genetic programming for the solution of simple cell-formation problems
ChristosDimopoulos.html
NeilMort.html
http___dx.doi.org_10.1080_00207540150208835 http://dx.doi.org/10.1080/00207540150208835
dimopoulos:2005:JCIS A Genetic Programming methodology for the solution of the multi-objective cell-formation problem
ChristosDimopoulos.html
dimopoulos:2005:ICPR A Novel Approach for the Solution of the Multiobjective Cell-Formation Problem
ChristosDimopoulos.html
http___www.lania.mx__ccoello_EMOO_dimopoulos05.pdf.gz http://www.lania.mx/~ccoello/EMOO/dimopoulos05.pdf.gz
Dindarloo:2015:IJMST Prediction of blast-induced ground vibrations via genetic programming
SaeidRDindarloo.html
http___dx.doi.org_10.1016_j.ijmst.2015.09.020 http://dx.doi.org/10.1016/j.ijmst.2015.09.020
http___www.sciencedirect.com_science_article_pii_S2095268615001664 http://www.sciencedirect.com/science/article/pii/S2095268615001664
Dindarloo:2016:ArXiv Estimating the unconfined compressive strength of carbonate rocks using gene expression programming
SaeidRDindarloo.html
ElnazSiami-Irdemoosa.html
http___arxiv.org_abs_1602.03854 http://arxiv.org/abs/1602.03854
Dindarloo:2016:JSR Off-road truck-related accidents in U.S. mines
SaeidRDindarloo.html
JonishaPPollard.html
ElnazSiami-Irdemoosa.html
http___dx.doi.org_10.1016_j.jsr.2016.07.002 http://dx.doi.org/10.1016/j.jsr.2016.07.002
http___www.sciencedirect.com_science_article_pii_S0022437516301347 http://www.sciencedirect.com/science/article/pii/S0022437516301347
ding:2023:GECCO Probabilistic Lexicase Selection
LiDing.html
EdwardRPantridge.html
LeeSpector.html
http___dx.doi.org_10.1145_3583131.3590375 http://dx.doi.org/10.1145/3583131.3590375
Ding:2003:XBZRs Combinational Application of Genetic Programming and Simulated Annealing in Distillation Process Synthesis
Li-yingDing.html
Yu-GangLi.html
FangyuHan.html
http___en.cnki.com.cn_Article_en_CJFDTotal-QDHG2003S1010.htm http://en.cnki.com.cn/Article_en/CJFDTotal-QDHG2003S1010.htm
Li-yingDing:2003:XBZRo Design of Complex Distillation Process Based on Genetic Programming
Li-yingDing.html
Yu-GangLi.html
FangyuHan.html
http___en.cnki.com.cn_Article_en_CJFDTotal-QDHG200305001.htm http://en.cnki.com.cn/Article_en/CJFDTotal-QDHG200305001.htm
Ding:2019:ACC A Symbolic Regression Based Residual Useful Life Model for Slewing Bearings
PengDing.html
QinrongQian.html
HuaWang.html
JianyongYao.html
http___dx.doi.org_10.1109_ACCESS.2019.2919663 http://dx.doi.org/10.1109/ACCESS.2019.2919663
DING:2019:Measurement HYGP-MSAM based model for slewing bearing residual useful life prediction
PengDing.html
HuaWang.html
WeigangBao.html
RongjingHong.html
http___dx.doi.org_10.1016_j.measurement.2019.04.039 http://dx.doi.org/10.1016/j.measurement.2019.04.039
http___www.sciencedirect.com_science_article_pii_S0263224119303574 http://www.sciencedirect.com/science/article/pii/S0263224119303574
arXiv:quant-ph/0610105 Evolving Quantum Oracles with Hybrid Quantum-inspired Evolutionary Algorithm
ShengchaoDing.html
ZhiJin.html
QingYang.html
http___arxiv.org_PS_cache_quant-ph_pdf_0610_0610105v1.pdf http://arxiv.org/PS_cache/quant-ph/pdf/0610/0610105v1.pdf
DING:2019:TNAJEF Incorporating the RMB internationalization effect into its exchange rate volatility forecasting
ShushengDing.html
TianxiangCui.html
YongminZhang.html
http___dx.doi.org_10.1016_j.najef.2019.101103 http://dx.doi.org/10.1016/j.najef.2019.101103
http___www.sciencedirect.com_science_article_pii_S1062940819302840 http://www.sciencedirect.com/science/article/pii/S1062940819302840
Ding:2020:jaihc Forecasting stock market return with nonlinearity: a genetic programming approach
ShushengDing.html
TianxiangCui.html
XihanXiong.html
RuibinBai.html
http___eprints.nottingham.ac.uk_60489_ http://eprints.nottingham.ac.uk/60489/
http___eprints.nottingham.ac.uk_60489_1_Forecasting_20stock_20market_20return_20with_20nonlinearity_20a_20genetic_20programming_20approach.pdf http://eprints.nottingham.ac.uk/60489/1/Forecasting%20stock%20market%20return%20with%20nonlinearity%20a%20genetic%20programming%20approach.pdf
https___rdcu.be_diANf https://rdcu.be/diANf
http___dx.doi.org_10.1007_s12652-020-01762-0 http://dx.doi.org/10.1007/s12652-020-01762-0
ding:2021:Processes Prediction of New Distillation-Membrane Separation Integrated Process with Potential in Industrial Application
XinDing.html
Xiao-HongWang.html
PengDu.html
ZenghuTian.html
JingxuanChen.html
https___www.mdpi.com_2227-9717_9_2_318 https://www.mdpi.com/2227-9717/9/2/318
http___dx.doi.org_10.3390_pr9020318 http://dx.doi.org/10.3390/pr9020318
Ding:2019:GI Leveraging Program Invariants to Promote Population Diversity in Search-Based Automatic Program Repair
ZhenYuDing.html
YiweiLyu.html
ChristopherTimperley.html
ClaireLeGoues.html
http___geneticimprovementofsoftware.com_paper_pdfs_ding2019leveraging.pdf http://geneticimprovementofsoftware.com/paper_pdfs/ding2019leveraging.pdf
http___dx.doi.org_10.1109_GI.2019.00011 http://dx.doi.org/10.1109/GI.2019.00011
Dinh:2017:PLOScb The logic of the floral transition: Reverse-engineering the switch controlling the identity of lateral organs
Jean-LouisDinh.html
EtienneFarcot.html
TCharlesHodgman.html
http___eprints.nottingham.ac.uk_46904_ http://eprints.nottingham.ac.uk/46904/
http___eprints.nottingham.ac.uk_46904_1_Farcot_logic.pdf http://eprints.nottingham.ac.uk/46904/1/Farcot_logic.pdf
http___journals.plos.org_ploscompbiol_article_id_10.1371_journal.pcbi.1005744 http://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1005744
http___dx.doi.org_10.1371_journal.pcbi.1005744 http://dx.doi.org/10.1371/journal.pcbi.1005744
Dinh:thesis Mathematical modelling of the floral transition
Jean-LouisDinh.html
http___eprints.nottingham.ac.uk_45106_ http://eprints.nottingham.ac.uk/45106/
http___eprints.nottingham.ac.uk_45106_1_Dinh_20JL_20-_20Mathematical_20modelling_20of_20the_20floral_20transition.pdf http://eprints.nottingham.ac.uk/45106/1/Dinh%20JL%20-%20Mathematical%20modelling%20of%20the%20floral%20transition.pdf
Dinh:2015:CEC Transfer Learning in Genetic Programming
ThiThuHuongDinh.html
ThiHuongChu.html
QuangUyNguyen.html
http___dx.doi.org_10.1109_CEC.2015.7257018 http://dx.doi.org/10.1109/CEC.2015.7257018
Dini:2007:DBE Natural Science: Biological development as metaphor for the construction of order
PaoloDini.html
http___www.digital-ecosystems.org_book_ http://www.digital-ecosystems.org/book/
http___www.digital-ecosystems.org_book_Section1.pdf http://www.digital-ecosystems.org/book/Section1.pdf
eurogp06:DiosanOltean Evolving crossover operators for function optimization
LauraDiosan.html
MihaiOltean.html
http___dx.doi.org_10.1007_11729976_9 http://dx.doi.org/10.1007/11729976_9
1277332 Genetically designed multiple-kernels for improving the SVM performance
LauraDiosan.html
MihaiOltean.html
AlexandrinaRogozan.html
JeanPierrePecuchet.html
http___gpbib.cs.ucl.ac.uk_gecco2007_docs_p1873.pdf http://gpbib.cs.ucl.ac.uk/gecco2007/docs/p1873.pdf
http___dx.doi.org_10.1145_1276958.1277332 http://dx.doi.org/10.1145/1276958.1277332
Diosan:2007:ICMLA Evolving kernel functions for SVMs by genetic programming
LauraDiosan.html
AlexandrinaRogozan.html
JeanPierrePecuchet.html
http___dx.doi.org_10.1109_ICMLA.2007.70 http://dx.doi.org/10.1109/ICMLA.2007.70
conf/evoW/DiosanRP08 Optimising Multiple Kernels for SVM by Genetic Programming
LauraDiosan.html
AlexandrinaRogozan.html
JeanPierrePecuchet.html
http___dx.doi.org_10.1007_978-3-540-78604-7_20 http://dx.doi.org/10.1007/978-3-540-78604-7_20
Diosan:2009:GPEM Evolutionary design of Evolutionary Algorithms
LauraDiosan.html
MihaiOltean.html
http___dx.doi.org_10.1007_s10710-009-9081-6 http://dx.doi.org/10.1007/s10710-009-9081-6
Diosan:2010:JAIT Learning SVM with Complex Multiple Kernels Evolved by Genetic Programming
LauraDiosan.html
AlexandrinaRogozan.html
JeanPierrePecuchet.html
http___dx.doi.org_10.1142_S0218213010000352 http://dx.doi.org/10.1142/S0218213010000352
journals/apin/DiosanA15 Multi-objective breast cancer classification by using multi-expression programming
LauraDiosan.html
AncaAndreica.html
https___rdcu.be_c9fkd https://rdcu.be/c9fkd
http___dx.doi.org_10.1007_s10489-015-0668-8 http://dx.doi.org/10.1007/s10489-015-0668-8
DiPaola:2006: Evolving Portrait Painter Programs using Genetic Programming to Explore Computer Creativity
SteveDiPaola.html
http___www.units.miamioh.edu_codeconference_schedule_presentations.htm http://www.units.miamioh.edu/codeconference/schedule/presentations.htm
http___www.units.muohio.edu_codeconference_papers_papers_idmapaper1.pdf http://www.units.muohio.edu/codeconference/papers/papers/idmapaper1.pdf
1274009 Incorporating characteristics of human creativity into an evolutionary art algorithm
SteveDiPaola.html
LianeGabora.html
http___gpbib.cs.ucl.ac.uk_gecco2007_docs_p2450.pdf http://gpbib.cs.ucl.ac.uk/gecco2007/docs/p2450.pdf
http___dx.doi.org_10.1145_1274000.1274009 http://dx.doi.org/10.1145/1274000.1274009
DiPaola:2009:GPEM Incorporating characteristics of human creativity into an evolutionary art algorithm
SteveDiPaola.html
LianeGabora.html
http___dx.doi.org_10.1007_s10710-008-9074-x http://dx.doi.org/10.1007/s10710-008-9074-x
DiPaola:2011:CGP CGP, Creativity and Art
SteveDiPaola.html
NathanSorenson.html
http___www.springer.com_computer_theoretical_computer_science_book_978-3-642-17309-7 http://www.springer.com/computer/theoretical+computer+science/book/978-3-642-17309-7
http___dx.doi.org_10.1007_978-3-642-17310-3_10 http://dx.doi.org/10.1007/978-3-642-17310-3_10
DiPaola:2014:PCS Using a Contextual Focus Model for an Automatic Creativity Algorithm to Generate Art Work
SteveDiPaola.html
http___dx.doi.org_10.1016_j.procs.2014.11.105 http://dx.doi.org/10.1016/j.procs.2014.11.105
http___www.sciencedirect.com_science_article_pii_S1877050914015506 http://www.sciencedirect.com/science/article/pii/S1877050914015506
diplock:thesis The application of evolutionary computing techniques to spatial interaction modelling
GaryDiplock.html
http___lib.leeds.ac.uk_record_b1537165_S5 http://lib.leeds.ac.uk/record=b1537165~S5
dittrich:1998:lmrrm Learning to Move a Robot with Random Morphology
PeterDittrich.html
AndreasBurgel.html
WolfgangBanzhaf.html
http___www.cs.mun.ca__banzhaf_papers_evorobot_final.pdf http://www.cs.mun.ca/~banzhaf/papers/evorobot_final.pdf
dittrich:1999:DPFLGCRMR Dynamical Properties of the Fitness Landscape of a GP Controlled Random Morphology Robot
PeterDittrich.html
AndreSkusa.html
WolfgangKantschik.html
WolfgangBanzhaf.html
http___citeseer.ist.psu.edu_362288.html http://citeseer.ist.psu.edu/362288.html
http___citeseer.ist.psu.edu_358932.html http://citeseer.ist.psu.edu/358932.html
http___gpbib.cs.ucl.ac.uk_gecco1999_GP-454.pdf http://gpbib.cs.ucl.ac.uk/gecco1999/GP-454.pdf
http___gpbib.cs.ucl.ac.uk_gecco1999_GP-454.ps http://gpbib.cs.ucl.ac.uk/gecco1999/GP-454.ps
oai:CiteSeerPSU:444392 Iterated Mutual Observation with Genetic Programming
PeterDittrich.html
ThomasKron.html
ChristianKuck.html
WolfgangBanzhaf.html
http___www.informatik.uni-hamburg.de_TGI_forschung_projekte_sozionik_journal_2_gp.pdf http://www.informatik.uni-hamburg.de/TGI/forschung/projekte/sozionik/journal/2/gp.pdf
http___citeseer.ist.psu.edu_444392.html http://citeseer.ist.psu.edu/444392.html
Dittrich:2003:JASSS On the Scalability of Social Order
PeterDittrich.html
ThomasKron.html
WolfgangBanzhaf.html
http___jasss.soc.surrey.ac.uk_6_1_3.html http://jasss.soc.surrey.ac.uk/6/1/3.html
diveev:2008:MMR Control design of a weather rocket by genetic programming method
AskhatDiveevIbraghimovich.html
NASevertsev.html
ElenaASofronova.html
https___rdcu.be_dkX3i https://rdcu.be/dkX3i
http___link.springer.com_article_10.3103_S1052618808050154 http://link.springer.com/article/10.3103/S1052618808050154
http___dx.doi.org_10.3103_S1052618808050154 http://dx.doi.org/10.3103/S1052618808050154
Diveev:2014:MED Symbolic regression methods for control system synthesis
AskatDiveev.html
DavidKazaryan.html
ElenaASofronova.html
http___dx.doi.org_10.1109_MED.2014.6961436 http://dx.doi.org/10.1109/MED.2014.6961436
Diveev:2015:IFAC-PapersOnLine Variational Genetic Programming for Optimal Control System Synthesis of Mobile Robots
AskhatDiveevIbraghimovich.html
SIIbadulla.html
NBKonyrbaev.html
ElizavetaYuShmalko.html
http___dx.doi.org_10.1016_j.ifacol.2015.12.018 http://dx.doi.org/10.1016/j.ifacol.2015.12.018
http___www.sciencedirect.com_science_article_pii_S2405896315026427 http://www.sciencedirect.com/science/article/pii/S2405896315026427
Diveev:2017:ICNC-FSKD Binary variational genetic programming for the problem of synthesis of control system
AskhatDiveevIbraghimovich.html
GalinaIvanovaBalandina.html
SVKonstantinov.html
http___dx.doi.org_10.1109_FSKD.2017.8393051 http://dx.doi.org/10.1109/FSKD.2017.8393051
Diveev:2017:PCS Method of Binary Analytic Programming to Look for Optimal Mathematical Expression
AskhatDiveevIbraghimovich.html
NBKonyrbaev.html
ElenaASofronova.html
http___dx.doi.org_10.1016_j.procs.2017.01.073 http://dx.doi.org/10.1016/j.procs.2017.01.073
http___www.sciencedirect.com_science_article_pii_S1877050917300741 http://www.sciencedirect.com/science/article/pii/S1877050917300741
Diveev:2018:ICIEA Problem of optimal area monitoring by group of robots and its solution by evolutionary algorithm
AskhatDiveevIbraghimovich.html
ElizavetaYuShmalko.html
ElenaASofronova.html
http___dx.doi.org_10.1109_ICIEA.2018.8397704 http://dx.doi.org/10.1109/ICIEA.2018.8397704
DBLP:conf/intellisys/DiveevS19 Automation of Synthesized Optimal Control Problem Solution for Mobile Robot by Genetic Programming
AskhatDiveevIbraghimovich.html
ElenaASofronova.html
https___doi.org_10.1007_978-3-030-29513-4_77 https://doi.org/10.1007/978-3-030-29513-4_77
http___dx.doi.org_10.1007_978-3-030-29513-4_77 http://dx.doi.org/10.1007/978-3-030-29513-4_77
https___dblp.org_rec_conf_intellisys_DiveevS19.bib https://dblp.org/rec/conf/intellisys/DiveevS19.bib
Diveev:2020:MED Cartesian Genetic Programming for Synthesis of Control System for Group of Robots
AskhatDiveevIbraghimovich.html
http___dx.doi.org_10.1109_MED48518.2020.9183180 http://dx.doi.org/10.1109/MED48518.2020.9183180
Diveev:2020:CoDIT Optimal Trajectories Synthesis of a Mobile Robots Group Using Cartesian Genetic Programming*
AskhatDiveevIbraghimovich.html
GalinaIvanovaBalandina.html
http___dx.doi.org_10.1109_CoDIT49905.2020.9263782 http://dx.doi.org/10.1109/CoDIT49905.2020.9263782
Diveev:2021:ICIEA Synthesised Optimal Control for a Robotic Group by Complete Binary Genetic Programming
AskhatDiveevIbraghimovich.html
ElenaASofronova.html
DrohMecapeuCatherinePrisca.html
http___dx.doi.org_10.1109_ICIEA51954.2021.9516380 http://dx.doi.org/10.1109/ICIEA51954.2021.9516380
Diveev:Cybernetics Machine-Made Synthesis of Stabilization System by Modified Cartesian Genetic Programming
AskhatDiveevIbraghimovich.html
ElizavetaYuShmalko.html
http___dx.doi.org_10.1109_TCYB.2020.3039693 http://dx.doi.org/10.1109/TCYB.2020.3039693
diveev:2021:Symmetry Research of Trajectory Optimization Approaches in Synthesized Optimal Control
AskhatDiveevIbraghimovich.html
ElizavetaYuShmalko.html
https___www.mdpi.com_2073-8994_13_2_336 https://www.mdpi.com/2073-8994/13/2/336
http___dx.doi.org_10.3390_sym13020336 http://dx.doi.org/10.3390/sym13020336
diveev:2021:(FTC) Cartesian Genetic Programming for Synthesis of Optimal Control System
AskhatDiveevIbraghimovich.html
http___link.springer.com_chapter_10.1007_978-3-030-63089-8_13 http://link.springer.com/chapter/10.1007/978-3-030-63089-8_13
http___dx.doi.org_10.1007_978-3-030-63089-8_13 http://dx.doi.org/10.1007/978-3-030-63089-8_13
divina:2001:gecco Knowledge Based Evolutionary Programming for Inductive Learning in First-Order Logic
FedericoDivina.html
ElenaMarchiori.html
http___gpbib.cs.ucl.ac.uk_gecco2001_d02.pdf http://gpbib.cs.ucl.ac.uk/gecco2001/d02.pdf
Divina:thesis Hybrid Genetic Relational Search for Inductive Learning
FedericoDivina.html
https___dare.ubvu.vu.nl_bitstream_1871_10280_1_divina_thesis.pdf https://dare.ubvu.vu.nl/bitstream/1871/10280/1/divina_thesis.pdf
https___research.vu.nl_en_publications_hybrid-genetic-relational-search-for-inductive-learning https://research.vu.nl/en/publications/hybrid-genetic-relational-search-for-inductive-learning
eurogp:Divina05 Assessing the Effectiveness of Incorporating Knowledge in an Evolutionary Concept Learner
FedericoDivina.html
http___www.cs.vu.nl__divina_Publications_EuroGP-divina.pdf http://www.cs.vu.nl/~divina/Publications/EuroGP-divina.pdf
http___dx.doi.org_10.1007_978-3-540-31989-4_2 http://dx.doi.org/10.1007/978-3-540-31989-4_2
http___dx.doi.org_10.1007_b107383 http://dx.doi.org/10.1007/b107383
journals/aai/DivsalarJGSM11 Hybrid Genetic Programming-Based Search Algorithms for Enterprise bankruptcy Prediction
MehdiDivsalar.html
MohamadRezaJavid.html
AHGandomi.html
JahaniarBamdadSoofi.html
MajidVesaliMahmood.html
http___dx.doi.org_10.1080_08839514.2011.595975 http://dx.doi.org/10.1080/08839514.2011.595975
Djerriri:2015:ieeeIGARSS Genetic programming and one-class classification for discovering useful spectral transformations
KhelifaDjerriri.html
MalkiMimoun.html
http___dx.doi.org_10.1109_IGARSS.2015.7325791 http://dx.doi.org/10.1109/IGARSS.2015.7325791
Djupdal:thesis Evolving Static Hardware Redundancy for Defect Tolerant FPGAs
AsbjoernDjupdal.html
http___www.idi.ntnu.no_research_doctor_theses_djupdal.pdf http://www.idi.ntnu.no/research/doctor_theses/djupdal.pdf
Djupdal:2011:GPEM The route to a defect tolerant LUT through artificial evolution
AsbjoernDjupdal.html
PaulineHaddow.html
http___dx.doi.org_10.1007_s10710-011-9129-2 http://dx.doi.org/10.1007/s10710-011-9129-2
Djurasevic:2020:GECCO One Property to Rule Them All? On the Limits of Trade-Offs for S-Boxes
MarkoDurasevic.html
DomagojJakobovic.html
StjepanPicek.html
https___doi.org_10.1145_3377930.3390247 https://doi.org/10.1145/3377930.3390247
http___dx.doi.org_10.1145_3377930.3390247 http://dx.doi.org/10.1145/3377930.3390247
DMello:2020:ICACTA Stock Price Prediction Using Grammatical Evolution
LynetteRD'Mello.html
AdityaJeswani.html
JaniceJohnson.html
http___dx.doi.org_10.1007_978-981-15-3242-9_36 http://dx.doi.org/10.1007/978-981-15-3242-9_36
Do2008194 Modelling drug dissolution from controlled release products using genetic programming
DuongQDo.html
RaymondCRowe.html
PeterYork.html
http___dx.doi.org_10.1016_j.ijpharm.2007.09.044 http://dx.doi.org/10.1016/j.ijpharm.2007.09.044
http___www.sciencedirect.com_science_article_B6T7W-4PWF0M5-1_2_1931c3725d1a803010a1d39e29117a1 http://www.sciencedirect.com/science/article/B6T7W-4PWF0M5-1/2/1931c3725d1a803010a1d39e29117a1
Dobai:2015:TRETS Low-Level Flexible Architecture with Hybrid Reconfiguration for Evolvable Hardware
RolandDobai.html
LukasSekanina.html
http___www.fit.vutbr.cz__sekanina_pubs.php.en_id_10394 http://www.fit.vutbr.cz/~sekanina/pubs.php.en?id=10394
http___dx.doi.org_10.1145_2700414 http://dx.doi.org/10.1145/2700414
DOBAI2017173 Evolutionary design of hash function pairs for network filters
RolandDobai.html
JanKorenek.html
LukasSekanina.html
http___www.sciencedirect.com_science_article_pii_S1568494617301321 http://www.sciencedirect.com/science/article/pii/S1568494617301321
http___dx.doi.org_10.1016_j.asoc.2017.03.009 http://dx.doi.org/10.1016/j.asoc.2017.03.009
Dobnik-Dubrovski:2002:TRL Using genetic programming to predict the macroporosity of woven cotton fabrics
PolonaDobnikDubrovski.html
MiranBrezocnik.html
http___cat.inist.fr__aModele_afficheN_cpsidt_13560450 http://cat.inist.fr/?aModele=afficheN&cpsidt=13560450
http___dx.doi.org_10.1177_004051750207200301 http://dx.doi.org/10.1177/004051750207200301
Dobnik-Dubrovski:2012:GPnew The Usage of Genetic Methods for Prediction of Fabric Porosity
PolonaDobnikDubrovski.html
MiranBrezocnik.html
http___dx.doi.org_10.5772_48188 http://dx.doi.org/10.5772/48188
Dockhorn:2017:ieeeCIG Combining Cooperative and Adversarial Coevolution in the Context of Pac-Man
AlexanderDockhorn.html
RudolfKruse.html
https___adockhorn.github.io_files_papers_Dockhorn__20Kruse_20-_202017_20-_20Combining_20cooperative_20and_20adversarial_20coevolution_20in_20the_20context_20of_20pac-man.pdf https://adockhorn.github.io/files/papers/Dockhorn,%20Kruse%20-%202017%20-%20Combining%20cooperative%20and%20adversarial%20coevolution%20in%20the%20context%20of%20pac-man.pdf
http___dx.doi.org_10.1109_CIG.2017.8080416 http://dx.doi.org/10.1109/CIG.2017.8080416
doerr_et_al:DR:2013:7:1 Theory of Evolutionary Algorithms (Dagstuhl Seminar 13271)
BenjaminDoerr.html
NikolausHansen.html
JonathanLShapiro.html
LDarrellWhitley.html
http___drops.dagstuhl.de_opus_volltexte_2013_4260 http://drops.dagstuhl.de/opus/volltexte/2013/4260
http___dx.doi.org_10.4230_DagRep.3.7.1 http://dx.doi.org/10.4230/DagRep.3.7.1
Doerr:2017:GECCOc Bounding Bloat in Genetic Programming
BenjaminDoerr.html
TimoKoetzing.html
JAGregorLagodzinski.html
JohannesLengler.html
http___doi.acm.org_10.1145_3071178.3071271 http://doi.acm.org/10.1145/3071178.3071271
http___dx.doi.org_10.1145_3071178.3071271 http://dx.doi.org/10.1145/3071178.3071271
Doerr:2019:GECCOb Evolving Boolean functions with conjunctions and disjunctions via genetic programming
BenjaminDoerr.html
AndreiLissovoi.html
PietroSOliveto.html
http___dx.doi.org_10.1145_3321707.3321851 http://dx.doi.org/10.1145/3321707.3321851
DBLP:journals/tcs/DoerrKLL20 The impact of lexicographic parsimony pressure for ORDER/MAJORITY on the run time
BenjaminDoerr.html
TimoKoetzing.html
JAGregorLagodzinski.html
JohannesLengler.html
https___doi.org_10.1016_j.tcs.2020.01.011 https://doi.org/10.1016/j.tcs.2020.01.011
http___dx.doi.org_10.1016_j.tcs.2020.01.011 http://dx.doi.org/10.1016/j.tcs.2020.01.011
https___dblp.org_rec_journals_tcs_DoerrKLL20.bib https://dblp.org/rec/journals/tcs/DoerrKLL20.bib
Doerr:2020:GECCOcompb A Gentle Introduction to Theory (for Non-Theoreticians)
BenjaminDoerr.html
https___doi.org_10.1145_3377929.3389889 https://doi.org/10.1145/3377929.3389889
http___dx.doi.org_10.1145_3377929.3389889 http://dx.doi.org/10.1145/3377929.3389889
DBLP:journals/corr/abs-2303-07455 (1+1) Genetic Programming With Functionally Complete Instruction Sets Can Evolve Boolean Conjunctions and Disjunctions with Arbitrarily Small Error
BenjaminDoerr.html
AndreiLissovoi.html
PietroSOliveto.html
https___doi.org_10.48550_arXiv.2303.07455 https://doi.org/10.48550/arXiv.2303.07455
http___dx.doi.org_10.48550_arXiv.2303.07455 http://dx.doi.org/10.48550/arXiv.2303.07455
https___dblp.org_rec_journals_corr_abs-2303-07455.bib https://dblp.org/rec/journals/corr/abs-2303-07455.bib
Dogan:2017:ELECO Using evolutionary algorithms for designing 3D novel objects
YavuzSelimDogan.html
FatihVehbiCelebi.html
HilalKaya.html
http___ieeexplore.ieee.org_xpl_articleDetails.jsp_tp__arnumber_8266225 http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=8266225
Doglioni:2008:HP An investigation on stream temperature analysis based on evolutionary computing
AngeloDoglioni.html
OrazioGiustolisi.html
DraganSavic.html
BruceWebb.html
http___dx.doi.org_10.1002_hyp.6607 http://dx.doi.org/10.1002/hyp.6607
http___dx.doi.org_10.1002_hyp.6607 http://dx.doi.org/10.1002/hyp.6607
Doglioni:2010:HSJ Inferring groundwater system dynamics from hydrological time-series data
AngeloDoglioni.html
DavideMancarella.html
VincenzoSimeone.html
OrazioGiustolisi.html
http___www.tandfonline.com_doi_abs_10.1080_02626661003747556 http://www.tandfonline.com/doi/abs/10.1080/02626661003747556
http___dx.doi.org_10.1080_02626661003747556 http://dx.doi.org/10.1080/02626661003747556
Dohan:2018:GECCOcomp Evolving modular neural sequence architectures with genetic programming
DavidDohan.html
DavidSo.html
QuocVLe.html
http___dx.doi.org_10.1145_3205651.3208782 http://dx.doi.org/10.1145/3205651.3208782
Doherty2006 Evolving Agent--Based Team Tactics for Combative Computer Games
DarrenDoherty.html
ColmO'Riordan.html
http___netserver.it.nuigalway.ie_darrendoherty_publications_aics2006.pdf http://netserver.it.nuigalway.ie/darrendoherty/publications/aics2006.pdf
Doherty2006I Evolving Tactical Behaviours for Teams of Agents in Single Player Action Games
DarrenDoherty.html
ColmO'Riordan.html
http___netserver.it.nuigalway.ie_darrendoherty_publications_cgames2006.pdf http://netserver.it.nuigalway.ie/darrendoherty/publications/cgames2006.pdf
1277347 A phenotypic analysis of GP-evolved team behaviours
DarrenDoherty.html
ColmO'Riordan.html
http___gpbib.cs.ucl.ac.uk_gecco2007_docs_p1951.pdf http://gpbib.cs.ucl.ac.uk/gecco2007/docs/p1951.pdf
http___dx.doi.org_10.1145_1276958.1277347 http://dx.doi.org/10.1145/1276958.1277347
Doherty2007I Evolving Team Behaviours in Environments of Varying Difficulty
DarrenDoherty.html
ColmO'Riordan.html
Doherty:2007:AIR Evolving team behaviours in environments of varying difficulty
DarrenDoherty.html
ColmO'Riordan.html
http___dx.doi.org_10.1007_s10462-008-9078-1 http://dx.doi.org/10.1007/s10462-008-9078-1
Doherty2008a Effects of Communication on the Evolution of Squad Behaviours
DarrenDoherty.html
ColmO'Riordan.html
https___ojs.aaai.org_index.php_AIIDE_article_view_18668 https://ojs.aaai.org/index.php/AIIDE/article/view/18668
https___ojs.aaai.org_index.php_AIIDE_article_view_18668_18446 https://ojs.aaai.org/index.php/AIIDE/article/view/18668/18446
Doherty2008b Evolving Tactical Teams for Shooter Games using Genetic Programming
DarrenDoherty.html
http___netserver.it.nuigalway.ie_darrendoherty_publications_evophd2008.pdf http://netserver.it.nuigalway.ie/darrendoherty/publications/evophd2008.pdf
Doherty:2009:ieeeTCIAIG Effects of Shared Perception on the Evolution of Squad Behaviors
DarrenDoherty.html
ColmO'Riordan.html
http___dx.doi.org_10.1109_TCIAIG.2009.2018701 http://dx.doi.org/10.1109/TCIAIG.2009.2018701
Doherty:thesis Evolving tactical teams for shooter games using genetic programming
DarrenDoherty.html
doherty:2003:FAUGPCRI Fundamental Analysis Using Genetic Programming for Classification Rule Induction
CGregoryDoherty.html
http___www.genetic-programming.org_sp2003_Doherty.pdf http://www.genetic-programming.org/sp2003/Doherty.pdf
dolado:1998:GPNNlrspe Genetic Programming, Neural Networks and Linear Regression in Software Project Estimation
JoseJavierDoladoCosin.html
LuisFernandez.html
http___www.sc.ehu.es_jiwdocoj_docs_inspir98.pdf http://www.sc.ehu.es/jiwdocoj/docs/inspir98.pdf
dolado:1999:lmsce Limits to the Methods in Software Cost Estimation
JoseJavierDoladoCosin.html
http___www.sc.ehu.es_jiwdocoj_docs_dolado-scase99.ps http://www.sc.ehu.es/jiwdocoj/docs/dolado-scase99.ps
http___citeseer.ist.psu.edu_271064.html http://citeseer.ist.psu.edu/271064.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_scase_1999_dolado_1999_lmsce.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/scase_1999/dolado_1999_lmsce.pdf
dolado:1999:ICEIS Software Effort Estimation: the Elusive Goal in Project Management
JoseJavierDoladoCosin.html
LuisFernandez.html
MCarmenOtero.html
LeireUrkola.html
http___www.sc.ehu.es_jiwdocoj_docs_dofeotur.ps http://www.sc.ehu.es/jiwdocoj/docs/dofeotur.ps
Dolado:2000:vcmsse A validation of the component-based method for software size estimation
JoseJavierDoladoCosin.html
http___ieeexplore.ieee.org_iel5_32_19037_00879821.pdf http://ieeexplore.ieee.org/iel5/32/19037/00879821.pdf
Dolado:2001:SCF On the Problem of the Software Cost Function
JoseJavierDoladoCosin.html
http___www.elsevier.com_locate_issn_09505849 http://www.elsevier.com/locate/issn/09505849
http___dx.doi.org_10.1016_S0950-5849_00_00137-3 http://dx.doi.org/10.1016/S0950-5849(00)00137-3
http___www.sciencedirect.com_science_article_B6V0B-41NK8BD-5_2_6d97db872ced4148a359673dc3b060c6 http://www.sciencedirect.com/science/article/B6V0B-41NK8BD-5/2/6d97db872ced4148a359673dc3b060c6
Dolado:2016:ASOC Evaluation of Estimation Models using the Minimum Interval of Equivalence
JoseJavierDoladoCosin.html
DanielRodriguez.html
MarkHarman.html
WilliamBLangdon.html
FedericaSarro.html
http___www.sciencedirect.com_science_article_pii_S1568494616301557 http://www.sciencedirect.com/science/article/pii/S1568494616301557
http___dx.doi.org_10.1016_j.asoc.2016.03.026 http://dx.doi.org/10.1016/j.asoc.2016.03.026
Dolgano:2018:ai4health Towards a Decision Support System for Disorders of the Cardiovascular System, Diagnosing and Evaluation of the Treatment Efficiency
AntonDolganov.html
VladimirKublanov.html
http___dx.doi.org_10.5220_0006753407270733 http://dx.doi.org/10.5220/0006753407270733
Dolganov:2019:USBEREIT Indirect Measurement of Arterial Pressure by Means of Heart Rate Variability Signals
AntonDolganov.html
http___dx.doi.org_10.1109_USBEREIT.2019.8736632 http://dx.doi.org/10.1109/USBEREIT.2019.8736632
Dolganov:2019:SIBIRCON Presentation of the Indicative Factors of Heart Rate Variability for Hypertension Swift-diagnostics
AntonDolganov.html
VladimirKublanov.html
http___dx.doi.org_10.1109_SIBIRCON48586.2019.8958298 http://dx.doi.org/10.1109/SIBIRCON48586.2019.8958298
dolin:2000:CPCESIITDLC Co-Evolution of Populations of Chasers and Evaders that use Sonic Intensity and Interaural Time Difference as Localization Cues
BradDolin.html
dolin:2001:eh Methods for evolving robust distributed robot control software: coevolutionary and single population techniques
BradDolin.html
ForrestBennett.html
EleanorGRieffel.html
http___dx.doi.org_10.1109_EH.2001.937943 http://dx.doi.org/10.1109/EH.2001.937943
DBLP:conf/sac/DolinBR02 Co-evolving an effective fitness sample: experiments in symbolic regression and distributed robot control
BradDolin.html
ForrestBennett.html
EleanorGRieffel.html
https___www.fxpal.com_publications_co-evolving-an-effective-fitness-sample-experiments-in-symbolic-regression-and-distributed-robot-control.pdf https://www.fxpal.com/publications/co-evolving-an-effective-fitness-sample-experiments-in-symbolic-regression-and-distributed-robot-control.pdf
http___dx.doi.org_10.1145_508791.508899 http://dx.doi.org/10.1145/508791.508899
dolin:2002:GPEM Resource Review: A Web-Based Tour of Genetic Programming
BradDolin.html
JuanJulianMerelo.html
http___www.cs.bgu.ac.il__sipper_courses_papers_GPweb.pdf http://www.cs.bgu.ac.il/~sipper/courses/papers/GPweb.pdf
http___dx.doi.org_10.1023_A_1020167426088 http://dx.doi.org/10.1023/A:1020167426088
dolin:ppsn2002:pp142 Opposites Attract: Complementary Phenotype Selection for Crossover in Genetic Programming
BradDolin.html
MaribelGarciaArenas.html
JuanJulianMerelo.html
http___dx.doi.org_10.1007_3-540-45712-7_14 http://dx.doi.org/10.1007/3-540-45712-7_14
Dolinsky:2000:MATADOR Structural identification and calibration of kinematic robot models by genetic search
Jens-UweDolinsky.html
IanDJenkinson.html
GJColquhoun.html
http___books.google.co.uk_books_id_EedSAAAAMAAJ http://books.google.co.uk/books?id=EedSAAAAMAAJ
http___link.springer.com_chapter_10.1007_2F978-1-4471-0777-4_31 http://link.springer.com/chapter/10.1007%2F978-1-4471-0777-4_31
http___dx.doi.org_10.1007_978-1-4471-0777-4_31 http://dx.doi.org/10.1007/978-1-4471-0777-4_31
Dolinsky:thesis The Development of a Genetic Programming Method For Kinematic Robot Calibration
Jens-UweDolinsky.html
http___www.mb.hs-wismar.de_cea_phd_dolinsky_thesis.pdf http://www.mb.hs-wismar.de/cea/phd/dolinsky_thesis.pdf
http___citeseerx.ist.psu.edu_viewdoc_download_doi_10.1.1.70.7361 http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.70.7361
http___ethos.bl.uk_OrderDetails.do_did_21_uin_uk.bl.ethos.364488 http://ethos.bl.uk/OrderDetails.do?did=21&uin=uk.bl.ethos.364488
dolinsky:2004:EBPST Robot Calibration Using Genetic Programming
Jens-UweDolinsky.html
GJColquhoun.html
IanDJenkinson.html
http___link.springer.com_chapter_10.1007_978-1-4419-8945-1_12 http://link.springer.com/chapter/10.1007/978-1-4419-8945-1_12
http___dx.doi.org_10.1007_978-1-4419-8945-1_12 http://dx.doi.org/10.1007/978-1-4419-8945-1_12
Dolinsky:2007:CI Application of genetic programming to the calibration of industrial robots
Jens-UweDolinsky.html
IanDJenkinson.html
GJColquhoun.html
http___dx.doi.org_10.1016_j.compind.2006.06.003 http://dx.doi.org/10.1016/j.compind.2006.06.003
Dolson:2017:GPTP Applying Ecological Principles to Genetic Programming
EmilyDolson.html
WolfgangBanzhaf.html
CharlesOfria.html
https___link.springer.com_chapter_10.1007_978-3-319-90512-9_5 https://link.springer.com/chapter/10.1007/978-3-319-90512-9_5
http___dx.doi.org_10.1007_978-3-319-90512-9_5 http://dx.doi.org/10.1007/978-3-319-90512-9_5
dolson:2018:GPTP Exploring Genetic Programming Systems with MAP-Elites
EmilyDolson.html
AlexanderLalejini.html
CharlesOfria.html
https___peerj.com_preprints_27154_ https://peerj.com/preprints/27154/
http___link.springer.com_chapter_10.1007_978-3-030-04735-1_1 http://link.springer.com/chapter/10.1007/978-3-030-04735-1_1
http___dx.doi.org_10.1007_978-3-030-04735-1_1 http://dx.doi.org/10.1007/978-3-030-04735-1_1
Dolson:2021:GPTP What Can Phylogenetic Metrics Tell us About Useful Diversity in Evolutionary Algorithms?
JoseGuadalupeHernandez.html
AlexanderLalejini.html
EmilyDolson.html
https___arxiv.org_abs_2108.12586 https://arxiv.org/abs/2108.12586
http___dx.doi.org_10.1007_978-981-16-8113-4_4 http://dx.doi.org/10.1007/978-981-16-8113-4_4
https___github.com_emilydolson_phylodiversity-metrics-in-EC-GPTP-2021 https://github.com/emilydolson/phylodiversity-metrics-in-EC-GPTP-2021
Dolson:2022:GPEM Book Review: the evolution of complexity
EmilyDolson.html
http___dx.doi.org_10.1007_s10710-022-09443-x http://dx.doi.org/10.1007/s10710-022-09443-x
Dolson:2023:GPTP Reachability Analysis for Lexicase Selection via Community Assembly Graphs
EmilyDolson.html
AlexanderLalejini.html
http___dx.doi.org_10.1007_978-981-99-8413-8_15 http://dx.doi.org/10.1007/978-981-99-8413-8_15
Domenech-Asensi:2017:ieeeISIE Generation of new power processing structures exploiting genetic programming
GDomenech-Asensi.html
TJKazmierski.html
http___dx.doi.org_10.1109_ISIE.2017.8001336 http://dx.doi.org/10.1109/ISIE.2017.8001336
domingos:thesis Non-Linear Nuclear Engineering Models as an Application of Genetic Programming
RobertoPinheiroDomingos.html
domingos:phdthesis Evolutionary Neuro-Fuzzy Models Applied to Nuclear Engineering Process Identification and Control
RobertoPinheiroDomingos.html
http___antigo.nuclear.ufrj.br_DScTeses_teses_2003.htm http://antigo.nuclear.ufrj.br/DScTeses/teses_2003.htm
domingos:2003:ASC PWR's Xenon oscillation control through a fuzzy expert system automatically designed by means of genetic programming
RobertoPinheiroDomingos.html
GustavoHFCaldas.html
ClaudioMarciodoNascimentoAbreuPereira.html
RobertoSchirru.html
http___www.sciencedirect.com_science_article_B6W86-49MX1MH-1_2_50727e0c9a470ae05a1e62675e4555d7 http://www.sciencedirect.com/science/article/B6W86-49MX1MH-1/2/50727e0c9a470ae05a1e62675e4555d7
http___dx.doi.org_10.1016_j.asoc.2003.05.002 http://dx.doi.org/10.1016/j.asoc.2003.05.002
Domingos:2005:PNE Soft computing systems applied to PWR's xenon
RobertoPinheiroDomingos.html
RobertoSchirru.html
AquilinoSenraMartinez.html
http___dx.doi.org_10.1016_j.pnucene.2005.03.011 http://dx.doi.org/10.1016/j.pnucene.2005.03.011
Dona:2015:JEM Integrated satellite data fusion and mining for monitoring lake water quality status of the Albufera de Valencia in Spain
CarolinaDonaMonzo.html
Ni-BinChang.html
VicenteCasellesMiralles.html
JuanManuelSanchezToma.html
AntonioCamachoGonzalez.html
JesusDelegido.html
BenjaminWVannah.html
http___dx.doi.org_10.1016_j.jenvman.2014.12.003 http://dx.doi.org/10.1016/j.jenvman.2014.12.003
http___www.sciencedirect.com_science_article_pii_S0301479714005805 http://www.sciencedirect.com/science/article/pii/S0301479714005805
dona:2016:Remote_Sensing Monitoring Hydrological Patterns of Temporary Lakes Using Remote Sensing and Machine Learning Models: Case Study of La Mancha Humeda Biosphere Reserve in Central Spain
CarolinaDonaMonzo.html
Ni-BinChang.html
VicenteCasellesMiralles.html
JuanManuelSanchezPerez.html
LluisPerez-Planells.html
MariaDelMarBisquert.html
VicenteGarcia-Santos.html
SanazImen.html
AntonioCamachoGonzalez.html
https___www.mdpi.com_2072-4292_8_8_618 https://www.mdpi.com/2072-4292/8/8/618
http___dx.doi.org_10.3390_rs8080618 http://dx.doi.org/10.3390/rs8080618
Dona:2021:Remote_Sensing Estimation of Water Coverage in Permanent and Temporary Shallow Lakes and Wetlands by Combining Remote Sensing Techniques and Genetic Programming: Application to the Mediterranean Basin of the Iberian Peninsula
CarolinaDonaMonzo.html
DanielMorantGarrigues.html
AntonioPicazoMozo.html
CarlosRocheraCordellat.html
JuanManuelSanchezPerez.html
AntonioCamachoGonzalez.html
https___www.mdpi.com_2072-4292_13_4_652 https://www.mdpi.com/2072-4292/13/4/652
http___dx.doi.org_10.3390_rs13040652 http://dx.doi.org/10.3390/rs13040652
donald:1995:AEACFI An Evolutionary Approach to CPU Fault Isolation
KeithMacDonald.html
Donarski2010987 Identification of botanical biomarkers found in Corsican honey
JamesADonarski.html
StephenAJones.html
MarkHarrison.html
MalcolmDriffield.html
AdrianJCharlton.html
http___dx.doi.org_10.1016_j.foodchem.2008.10.033 http://dx.doi.org/10.1016/j.foodchem.2008.10.033
http___www.sciencedirect.com_science_article_B6T6R-4TRK0VB-1_2_c32107c8f3b0b36745ea2bd369053d04 http://www.sciencedirect.com/science/article/B6T6R-4TRK0VB-1/2/c32107c8f3b0b36745ea2bd369053d04
Dong:1997:EPSR Genetic programming model for long-term forecasting of electric power demand
Dong-GyuLee.html
ByongWhiLee.html
SoonHeungChang.html
http___hdl.handle.net_10203_71273 http://hdl.handle.net/10203/71273
http___dx.doi.org_10.1016_S0378-7796_96_01125-X http://dx.doi.org/10.1016/S0378-7796(96)01125-X
dong:2019:AS Metaheuristic Approaches to Solve a Complex Aircraft Performance Optimization Problem
GuirongDong.html
XiaozheWang.html
DianziLiu.html
https___www.mdpi.com_2076-3417_9_15_2979 https://www.mdpi.com/2076-3417/9/15/2979
http___dx.doi.org_10.3390_app9152979 http://dx.doi.org/10.3390/app9152979
Dong:2009:MASS Improved Genetic Programming Based on Lineage Information
HongbinDong.html
JiaChen.html
http___dx.doi.org_10.1109_ICMSS.2009.5304998 http://dx.doi.org/10.1109/ICMSS.2009.5304998
Dong:TETCI An Efficient Federated Genetic Programming Framework for Symbolic Regression
JunlanDong.html
JinghuiZhong.html
Wei-NengChen.html
JunZhang.html
http___dx.doi.org_10.1109_TETCI.2022.3201299 http://dx.doi.org/10.1109/TETCI.2022.3201299
oai:collectionscanada.gc.ca:SSU.etd-08102011-153450 Texture analysis of corpora lutea in ultrasonographic ovarian images using genetic programming and rotation invariant local binary patterns
MengDong.html
https___ecommons.usask.ca_handle_10388_etd-08102011-153450 https://ecommons.usask.ca/handle/10388/etd-08102011-153450
http___hdl.handle.net_10388_etd-08102011-153450 http://hdl.handle.net/10388/etd-08102011-153450
journals/mbec/DongELP13 Automatic detection and segmentation of bovine corpora lutea in ultrasonographic ovarian images using genetic programming and rotation invariant local binary patterns
MengDong.html
MarkGEramian.html
SimoneALudwig.html
RogerAPierson.html
http___dx.doi.org_10.1007_s11517-012-1009-2 http://dx.doi.org/10.1007/s11517-012-1009-2
http___dx.doi.org_10.1007_s11517-012-1009-2 http://dx.doi.org/10.1007/s11517-012-1009-2
dong:2021:SERRA A hybrid prediction model for wind speed using support vector machine and genetic programming in conjunction with error compensation
YueDong.html
JunNiu.html
QiLiu.html
BellieSivakumar.html
TaishengDu.html
http___link.springer.com_article_10.1007_s00477-021-01996-0 http://link.springer.com/article/10.1007/s00477-021-01996-0
http___dx.doi.org_10.1007_s00477-021-01996-0 http://dx.doi.org/10.1007/s00477-021-01996-0
Dong:2020:Symmetry Automated Program-Semantic Defect Repair and False-Positive Elimination without Side Effects
YukunDong.html
MengyingWu.html
ShanchenPang.html
LiZhang2.html
WenjingYin.html
MengWu.html
HaojieLi.html
https___www.mdpi.com_2073-8994_12_12_2076 https://www.mdpi.com/2073-8994/12/12/2076
http___dx.doi.org_10.3390_sym12122076 http://dx.doi.org/10.3390/sym12122076
Donne:2014:CEC Wave Height Quantification Using Land Based Seismic Data with Grammatical Evolution
SarahDonne.html
MiguelNicolau.html
ChristopherBean.html
MichaelO'Neill.html
http___dx.doi.org_10.1109_CEC.2014.6900563 http://dx.doi.org/10.1109/CEC.2014.6900563
Dorado:2002:EvoWorkshops Prediction and Modelling of the Flow of a Typical Urban Basin through Genetic Programming
JulianDorado.html
JuanRamonRabunalDopico.html
JeronimoPuertas.html
AntoninoSantosdelRiego.html
DanielRiveroCebrian.html
http___dx.doi.org_10.1007_3-540-46004-7_20 http://dx.doi.org/10.1007/3-540-46004-7_20
dorado:2002:IJCNN Automatic Recurrent ANN Rule Extraction with Genetic Programming
JulianDorado.html
JuanRamonRabunalDopico.html
DanielRiveroCebrian.html
AntoninoSantosdelRiego.html
AlejandroPazosSierra.html
http___dx.doi.org_10.1109_IJCNN.2002.1007748 http://dx.doi.org/10.1109/IJCNN.2002.1007748
dorado:ppsn2002:pp485 Automatic Recurrent ANN Rule Extraction with Genetic Programming
JulianDorado.html
JuanRamonRabunalDopico.html
AntoninoSantosdelRiego.html
AlejandroPazosSierra.html
DanielRiveroCebrian.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.205.6971 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.205.6971
http___sci2s.ugr.es_keel_pdf_specific_congreso_springer1_4.pdf http://sci2s.ugr.es/keel/pdf/specific/congreso/springer1_4.pdf
http___dx.doi.org_10.1007_3-540-45712-7_47 http://dx.doi.org/10.1007/3-540-45712-7_47
Dorfer:2015:GECCOcomp A Symbolic Regression Based Scoring System Improving Peptide Identifications for MS Amanda
ViktoriaDorfer.html
SergeyMaltsev.html
StephanDreiseitl.html
KarlMechtler.html
StephanMWinkler.html
http___doi.acm.org_10.1145_2739482.2768509 http://doi.acm.org/10.1145/2739482.2768509
http___dx.doi.org_10.1145_2739482.2768509 http://dx.doi.org/10.1145/2739482.2768509
heuristicLab_GCE_2020 Integrating HeuristicLab with Compilers and Interpreters for Non-Functional Code Optimization
DanielDorfmeister.html
OliverKrauss.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_gecco2020_companion_files_wksp139s2-file1.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/gecco2020/companion_files/wksp139s2-file1.pdf
http___dx.doi.org_10.1145_3377929.3398103 http://dx.doi.org/10.1145/3377929.3398103
DORGO:2021:CES Genetic programming-based symbolic regression for goal-oriented dimension reduction
GyulaDorgo.html
TiborKulcsar.html
JanosAbonyi.html
http___dx.doi.org_10.1016_j.ces.2021.116769 http://dx.doi.org/10.1016/j.ces.2021.116769
https___www.sciencedirect.com_science_article_pii_S0009250921003341 https://www.sciencedirect.com/science/article/pii/S0009250921003341
dorin:1994:GPr Koza, J. ``Genetic Programming'' (review)
AlanDorin.html
http___www.csse.monash.edu.au__aland_reviews_koza.rev.html http://www.csse.monash.edu.au/~aland/reviews/koza.rev.html
Dorn:2019:TSE Automatically Exploring Tradeoffs Between Software Output Fidelity and Energy Costs
JonathanDorn.html
JeremyLacomis.html
WestleyWeimer.html
StephanieForrest.html
https___www.cs.cmu.edu__jlacomis_materials_DornPowerGAUGE2017.pdf https://www.cs.cmu.edu/~jlacomis/materials/DornPowerGAUGE2017.pdf
http___dx.doi.org_10.1109_TSE.2017.2775634 http://dx.doi.org/10.1109/TSE.2017.2775634
journals/soco/DorostiGSAS20 Application of gene expression programming and sensitivity analyses in analyzing effective parameters in gastric cancer tumor size and location
ShadiDorosti.html
SaeidJafarzadehGhoushchi.html
ElhamSobhrakhshankhah.html
MohsenAhmadi.html
AbbasSharifi.html
http___dx.doi.org_10.1007_s00500-019-04507-0 http://dx.doi.org/10.1007/s00500-019-04507-0
dosi:1999:nepal:er Norms as emergent properties of adaptive learning: The case of economic routines
GiovanniDosi.html
LuigiMarengo.html
AndreaBassanini.html
MarcoValente.html
http___dx.doi.org_10.1007_s001910050073 http://dx.doi.org/10.1007/s001910050073
dosSantos:2008:SIBGRAPI A Genetic Programming Approach for Relevance Feedback in Region-Based Image Retrieval Systems
JeferssonAlexdosSantos.html
CristianoDalmaschioFerreira.html
RicardodaSilvaTorres.html
http___dx.doi.org_10.1109_SIBGRAPI.2008.15 http://dx.doi.org/10.1109/SIBGRAPI.2008.15
Santos2010 A Relevance Feedback Method based on Genetic Programming for Classification of Remote Sensing Images
JeferssonAlexdosSantos.html
CristianoDalmaschioFerreira.html
RicardodaSilvaTorres.html
MarcosAndreGoncalves.html
RubensAugustoCamargoLamparelli.html
http___dx.doi.org_10.1016_j.ins.2010.02.003 http://dx.doi.org/10.1016/j.ins.2010.02.003
http___www.sciencedirect.com_science_article_B6V0C-4YBMF9K-2_2_7be908a0802e1675ad8e8258bfbc4e01 http://www.sciencedirect.com/science/article/B6V0C-4YBMF9K-2/2/7be908a0802e1675ad8e8258bfbc4e01
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.460.574 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.460.574
http___www.ic.unicamp.br__jsantos_pdf_santos2011is.pdf http://www.ic.unicamp.br/~jsantos/pdf/santos2011is.pdf
dosSantos:2020:ACC Creative Culinary Recipe Generation Based on Statistical Language Models
WillianAntoniodosSantos.html
JoaoRibeiroBezerra.html
LuisFabricioWanderleyGoes.html
FlaviaMagalhaesFreitasFerreira.html
http___dx.doi.org_10.1109_ACCESS.2020.3013436 http://dx.doi.org/10.1109/ACCESS.2020.3013436
Coelho20091434 Nonlinear model identification of an experimental ball-and-tube system using a genetic programming approach
LeandrodosSantosCoelho.html
MarceloWicthoffPessoa.html
http___dx.doi.org_10.1016_j.ymssp.2009.02.005 http://dx.doi.org/10.1016/j.ymssp.2009.02.005
http___www.sciencedirect.com_science_article_B6WN1-4VNH3WJ-1_2_f2de8e8814271f4e5d58e4cee49bd291 http://www.sciencedirect.com/science/article/B6WN1-4VNH3WJ-1/2/f2de8e8814271f4e5d58e4cee49bd291
Coelho:2014:AMM A genetic programming approach based on Levy flight applied to nonlinear identification of a poppet valve
LeandrodosSantosCoelho.html
TeodoroCardosoBora.html
CarlosEduardoKlein.html
http___dx.doi.org_10.1016_j.apm.2013.09.014 http://dx.doi.org/10.1016/j.apm.2013.09.014
http___www.sciencedirect.com_science_article_pii_S0307904X1300591X http://www.sciencedirect.com/science/article/pii/S0307904X1300591X
Dostal:2013:HBO Modularity in Genetic Programming
MartinDostal.html
http___dx.doi.org_10.1007_978-3-642-30504-7_15 http://dx.doi.org/10.1007/978-3-642-30504-7_15
http___dx.doi.org_10.1007_978-3-642-30504-7_15 http://dx.doi.org/10.1007/978-3-642-30504-7_15
Dou:2017:GECCO Semantic-based Local Search in Multiobjective Genetic Programming
TiantianDou.html
PeterIRockett.html
http___doi.acm.org_10.1145_3067695.3076015 http://doi.acm.org/10.1145/3067695.3076015
http___dx.doi.org_10.1145_3067695.3076015 http://dx.doi.org/10.1145/3067695.3076015
oai:eprints.whiterose.ac.uk:134140 GPML: An XML-based Standard for the Interchange of Genetic Programming Trees
TiantianDou.html
YuriKaszubowskiLopes.html
PeterIRockett.html
http___eprints.whiterose.ac.uk_134140_ http://eprints.whiterose.ac.uk/134140/
http___eprints.whiterose.ac.uk_134140_8_GPML-v2.pdf http://eprints.whiterose.ac.uk/134140/8/GPML-v2.pdf
Dou:GPEM Comparison of semantic-based local search methods for multiobjective genetic programming
TiantianDou.html
PeterIRockett.html
http___dx.doi.org_10.1007_s10710-018-9325-4 http://dx.doi.org/10.1007/s10710-018-9325-4
Thesis_TiantianDou Nonlinear Dynamic System Identification and Model Predictive Control Using Genetic Programming
TiantianDou.html
http___etheses.whiterose.ac.uk_25033_ http://etheses.whiterose.ac.uk/25033/
https___etheses.whiterose.ac.uk_25033_1_Thesis_TiantianDou.pdf https://etheses.whiterose.ac.uk/25033/1/Thesis_TiantianDou.pdf
DOU:2020:ASC Model predictive control of non-domestic heating using genetic programming dynamic models
TiantianDou.html
YuriKaszubowskiLopes.html
PeterIRockett.html
AbigailHathway.html
EsmailMahmoudiSaber.html
http___www.sciencedirect.com_science_article_pii_S1568494620306335 http://www.sciencedirect.com/science/article/pii/S1568494620306335
https___jglobal.jst.go.jp_en_detail_JGLOBAL_ID_202002244243023276 https://jglobal.jst.go.jp/en/detail?JGLOBAL_ID=202002244243023276
http___dx.doi.org_10.1016_j.asoc.2020.106695 http://dx.doi.org/10.1016/j.asoc.2020.106695
Dou:GPEM:gpml GPML: an XML-based standard for the interchange of genetic programming trees
TiantianDou.html
YuriKaszubowskiLopes.html
PeterIRockett.html
AbigailHathway.html
EsmailMahmoudiSaber.html
http___dx.doi.org_10.1007_s10710-019-09370-4 http://dx.doi.org/10.1007/s10710-019-09370-4
conf/eurogp/DoucetteH08 GP Classification under Imbalanced Data sets: Active Sub-sampling and AUC Approximation
JohnDoucette.html
MalcolmHeywood.html
http___dx.doi.org_10.1007_978-3-540-78671-9_23 http://dx.doi.org/10.1007/978-3-540-78671-9_23
DBLP:conf/gecco/DoucetteLH09 Benchmarking coevolutionary teaming under classification problems with large attribute spaces
JohnDoucette.html
PeterLichodzijewski.html
MalcolmHeywood.html
http___dx.doi.org_10.1145_1569901.1570226 http://dx.doi.org/10.1145/1569901.1570226
Doucette:2009:GPTP Evolving Coevolutionary Classifiers under Large Attribute Spaces
JohnDoucette.html
PeterLichodzijewski.html
MalcolmHeywood.html
http___dx.doi.org_10.1007_978-1-4419-1626-6_3 http://dx.doi.org/10.1007/978-1-4419-1626-6_3
Doucette:2010:EuroGP Novelty-based Fitness: An Evaluation under the Santa Fe Trail
JohnDoucette.html
MalcolmHeywood.html
http___dx.doi.org_10.1007_978-3-642-12148-7_5 http://dx.doi.org/10.1007/978-3-642-12148-7_5
Doucette:2011:RtAhtAeoEEPSuaEGST Revisiting the Acrobot `height' task: An example of Efficient Evolutionary Policy Search under an Episodic Goal Seeking Task
JohnDoucette.html
MalcolmHeywood.html
http___dx.doi.org_10.1109_CEC.2011.5949655 http://dx.doi.org/10.1109/CEC.2011.5949655
Doucette:2012:GPEM Symbiotic coevolutionary genetic programming: a benchmarking study under large attribute spaces
JohnDoucette.html
AndrewRMcIntyre.html
PeterLichodzijewski.html
MalcolmHeywood.html
https___web.cs.dal.ca__mheywood_OpenAccess_open-doucette12a.pdf https://web.cs.dal.ca/~mheywood/OpenAccess/open-doucette12a.pdf
https___rdcu.be_cUoeV https://rdcu.be/cUoeV
http___dx.doi.org_10.1007_s10710-011-9151-4 http://dx.doi.org/10.1007/s10710-011-9151-4
Doucette:2012:GECCO Automated mechanism design with co-evolutionary hierarchical genetic programming techniques
JohnDoucette.html
DarrenAbramson.html
http___dx.doi.org_10.1145_2330163.2330293 http://dx.doi.org/10.1145/2330163.2330293
Dougherty:2019:GI7 Genetic Algorithms for Affine Transformations to Existential t-Restrictions
RyanDougherty.html
ErinLanus.html
CharlesJColbourn.html
StephanieForrest.html
https___forrest.biodesign.asu.edu_data_publications_2019-dougherty-gecco-workshop.pdf https://forrest.biodesign.asu.edu/data/publications/2019-dougherty-gecco-workshop.pdf
http___dx.doi.org_10.1145_3319619.3326823 http://dx.doi.org/10.1145/3319619.3326823
https___www.youtube.com_watch_v_2hFlvHZU2FI https://www.youtube.com/watch?v=2hFlvHZU2FI
Dougherty:2021:GI A Permutation Representation of Covering Arrays
RyanDougherty.html
Xi_Chase_Jiang.html
https___www.youtube.com_watch_v_58u_bYvMUGs_list_PLI8fiFpB7BoKDaxvS7SQp0iA7fN7rrvDD_index_23 https://www.youtube.com/watch?v=58u_bYvMUGs&list=PLI8fiFpB7BoKDaxvS7SQp0iA7fN7rrvDD&index=23
https___www.youtube.com_watch_v_9TsoF5qIJ6w_list_PLI8fiFpB7BoKDaxvS7SQp0iA7fN7rrvDD_index_24 https://www.youtube.com/watch?v=9TsoF5qIJ6w&list=PLI8fiFpB7BoKDaxvS7SQp0iA7fN7rrvDD&index=24
https___www.youtube.com_watch_v_X8PisTY0frI_list_PLXTjhGKkSnI-se7uQneCX-pEDiDrQ7TIS_index_2 https://www.youtube.com/watch?v=X8PisTY0frI&list=PLXTjhGKkSnI-se7uQneCX-pEDiDrQ7TIS&index=2
http___dx.doi.org_10.1109_GI52543.2021.00017 http://dx.doi.org/10.1109/GI52543.2021.00017
oai:CiteSeerPSU:501552 Genetic Programming for the Generation of Crisp and Fuzzy Rule Bases in Classification and Diagnosis of Medical Data
GeorgiosDounias.html
HubertusAxer.html
BethBjerregaard.html
DiedrichGrafvonKeyserlingk.html
JanJantzen.html
AthanasiosDTsakonas.html
http___www2.ba.aegean.gr_members_tsakonas_DTJABK_Cuba2002.pdf http://www2.ba.aegean.gr/members/tsakonas/DTJABK_Cuba2002.pdf
http___citeseer.ist.psu.edu_501552.html http://citeseer.ist.psu.edu/501552.html
Dourado:2020:latin Evolutionary Approach for Automatic Generation of Multi-Objective Morphological Filters for Depth Images in Embedded Navigation Systems
AntonioMiguelBatistaDourado.html
EmersonCarlosPedrino.html
http___dx.doi.org_10.1109_TLA.2020.9099775 http://dx.doi.org/10.1109/TLA.2020.9099775
DOURADO:2020:ASC Multi-objective Cartesian Genetic Programming optimization of morphological filters in navigation systems for Visually Impaired People
AntonioMiguelBatistaDourado.html
EmersonCarlosPedrino.html
http___dx.doi.org_10.1016_j.asoc.2020.106130 http://dx.doi.org/10.1016/j.asoc.2020.106130
http___www.sciencedirect.com_science_article_pii_S1568494620300703 http://www.sciencedirect.com/science/article/pii/S1568494620300703
doValleSimoes_2007_GPEM Evolvable hardware, Springer, Genetic and Evolutionary Computation Series, edited by Tetsuya Higuchi, Yong Liu and Xin Yao, 224 pp, ISBN 0-387-24386-0
EduardodoValleSimoes.html
http___dx.doi.org_10.1007_s10710-007-9032-z http://dx.doi.org/10.1007/s10710-007-9032-z
Dower:2011:GECCO ESDL: a simple description language for population-based evolutionary computation
SteveDower.html
ClintonWoodward.html
http___dx.doi.org_10.1145_2001576.2001718 http://dx.doi.org/10.1145/2001576.2001718
Downey:2009:IVCNZ Multiclass object classification for computer vision using Linear Genetic Programming
CarltonDowney.html
MengjieZhang.html
http___dx.doi.org_10.1109_IVCNZ.2009.5378356 http://dx.doi.org/10.1109/IVCNZ.2009.5378356
Downey:2010:gecco New crossover operators in linear genetic programming for multiclass object classification
CarltonDowney.html
MengjieZhang.html
WillNBrowne.html
http___dx.doi.org_10.1145_1830483.1830644 http://dx.doi.org/10.1145/1830483.1830644
downey:2011:EuroGP Parallel Linear Genetic Programming
CarltonDowney.html
MengjieZhang.html
http___dx.doi.org_10.1007_978-3-642-20407-4_16 http://dx.doi.org/10.1007/978-3-642-20407-4_16
Downey:2011:ETCfLGP Execution Trace Caching for Linear Genetic Programming
CarltonDowney.html
MengjieZhang.html
http___dx.doi.org_10.1109_CEC.2011.5949751 http://dx.doi.org/10.1109/CEC.2011.5949751
Downey:2011:GECCOcomp Caching for parallel linear genetic programming
CarltonDowney.html
MengjieZhang.html
http___dx.doi.org_10.1145_2001858.2001970 http://dx.doi.org/10.1145/2001858.2001970
Downey:2012:GPEM Parallel linear genetic programming for multi-class classification
CarltonDowney.html
MengjieZhang.html
JingLiu.html
http___dx.doi.org_10.1007_s10710-012-9162-9 http://dx.doi.org/10.1007/s10710-012-9162-9
downing:1998:GPGAes Combining Genetic Programming and Genetic Algorithms for Ecological Simulation
KeithLDowning.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_gp1998_downing_1998_GPGAes.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/gp1998/downing_1998_GPGAes.pdf
Downing:1998:EMS Using evolutionary computational techniques in environmental modelling
KeithLDowning.html
http___www.sciencedirect.com_science_article_B6VHC-3VGHBS1-1G_2_20d163b7dea17eb9b21f06211acd3188 http://www.sciencedirect.com/science/article/B6VHC-3VGHBS1-1G/2/20d163b7dea17eb9b21f06211acd3188
http___dx.doi.org_10.1016_S1364-8152_98_00050-4 http://dx.doi.org/10.1016/S1364-8152(98)00050-4
downing:2001:gecco Adaptive Genetic Programs via Reinforcement Learning
KeithLDowning.html
http___gpbib.cs.ucl.ac.uk_gecco2001_d01.pdf http://gpbib.cs.ucl.ac.uk/gecco2001/d01.pdf
downing:2001:GPEM Reinforced Genetic Programming
KeithLDowning.html
http___www.idi.ntnu.no_grupper_ai_eval_reinforcedGP_gpem.pdf http://www.idi.ntnu.no/grupper/ai/eval/reinforcedGP/gpem.pdf
http___www.idi.ntnu.no_grupper_ai_eval_reinforcedGP_ http://www.idi.ntnu.no/grupper/ai/eval/reinforcedGP/
http___dx.doi.org_10.1023_A_1011953410319 http://dx.doi.org/10.1023/A:1011953410319
Downing:GPEM:review Alain Petrowski and Sana Ben-Hamida: Evolutionary Algorithms
KeithLDowning.html
http___dx.doi.org_10.1007_s10710-018-9321-8 http://dx.doi.org/10.1007/s10710-018-9321-8
downing:2005:CEC Evolving Binary Decision Diagrams using Implicit Neutrality
RichardMarkDowning.html
http___www.cs.bham.ac.uk__rmd_pubs_evolvingbddsCEC2005.pdf http://www.cs.bham.ac.uk/~rmd/pubs/evolvingbddsCEC2005.pdf
http___dx.doi.org_10.1109_CEC.2005.1554955 http://dx.doi.org/10.1109/CEC.2005.1554955
Downing:2006:CEC Neutrality and gradualism: encouraging exploration and exploitation simultaneously with Binary Decision Diagrams
RichardMarkDowning.html
http___www.cs.bham.ac.uk__rmd_pubs_gradualism.pdf http://www.cs.bham.ac.uk/~rmd/pubs/gradualism.pdf
http___dx.doi.org_10.1109_CEC.2006.1688367 http://dx.doi.org/10.1109/CEC.2006.1688367
Downing:PPSN:2006 Evolving Binary Decision Diagrams with emergent variable orderings
RichardMarkDowning.html
http___www.cs.bham.ac.uk__rmd_pubs_ppsn06.pdf http://www.cs.bham.ac.uk/~rmd/pubs/ppsn06.pdf
http___dx.doi.org_10.1007_11844297_81 http://dx.doi.org/10.1007/11844297_81
eurogp07:downing On population size and neutrality: facilitating the evolution of evolvability
RichardMarkDowning.html
http___dx.doi.org_10.1007_978-3-540-71605-1_17 http://dx.doi.org/10.1007/978-3-540-71605-1_17
conf/eurogp/Downing08 Evolvability Via Modularity-Induced Mutational Focussing
RichardMarkDowning.html
http___dx.doi.org_10.1007_978-3-540-78671-9_17 http://dx.doi.org/10.1007/978-3-540-78671-9_17
Downing08PhD Artificial evolution with Binary Decision Diagrams: a study in evolvability in neutral spaces
RichardMarkDowning.html
http___etheses.bham.ac.uk_862_ http://etheses.bham.ac.uk/862/
http___etheses.bham.ac.uk_862_1_Downing08PhD.pdf http://etheses.bham.ac.uk/862/1/Downing08PhD.pdf
http___ethos.bl.uk_OrderDetails.do_uin_uk.bl.ethos.521944 http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.521944
Drach:2016:SSI Impedance spectroscopy analysis inspired by evolutionary programming as a diagnostic tool for SOEC and SOFC
ZoharDrach.html
ShanyHershkovitz.html
DomenicoFerrero.html
PierluigiLeone.html
AndreaLanzini.html
MassimoSantarelli.html
YoedTsur.html
http___dx.doi.org_10.1016_j.ssi.2016.01.001 http://dx.doi.org/10.1016/j.ssi.2016.01.001
http___www.sciencedirect.com_science_article_pii_S0167273816000047 http://www.sciencedirect.com/science/article/pii/S0167273816000047
drachal:2023:Energies Forecasting the Crude Oil Spot Price with Bayesian Symbolic Regression
KrzysztofDrachal.html
https___www.mdpi.com_1996-1073_16_1_4 https://www.mdpi.com/1996-1073/16/1/4
http___dx.doi.org_10.3390_en16010004 http://dx.doi.org/10.3390/en16010004
Drachal:2023:BigData Forecasting Commodities Prices with the Bayesian Symbolic Regression Compared to Other Methods
KrzysztofDrachal.html
http___dx.doi.org_10.1109_BigData59044.2023.10386819 http://dx.doi.org/10.1109/BigData59044.2023.10386819
Dracopoulos:1996:ukpar Parallel Genetic Programming
DimitrisCDracopoulos.html
DuncanSelf.html
http___dx.doi.org_10.1007_978-1-4471-1504-5_11 http://dx.doi.org/10.1007/978-1-4471-1504-5_11
dracopoulos:1996:sGPpBSP Speeding up Genetic Programming: A Parallel BSP Implementation
DimitrisCDracopoulos.html
SimonKent.html
http___cognet.mit.edu_sites_default_files_books_9780262315876_pdfs_9780262315876_chap60.pdf http://cognet.mit.edu/sites/default/files/books/9780262315876/pdfs/9780262315876_chap60.pdf
http___cognet.mit.edu_library_books_view_isbn_0262611279 http://cognet.mit.edu/library/books/view?isbn=0262611279
Dracopoulos:1997:es Evolutionary Control of a Satellite
DimitrisCDracopoulos.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_gp1997_Dracopoulos_1997_es.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/gp1997/Dracopoulos_1997_es.pdf
dracopoulos:1997:elanac Evolutionary Learning Algorithms for Neural Adaptive Control
DimitrisCDracopoulos.html
http___www.amazon.co.uk_exec_obidos_ASIN_3540761616_qid_3D1106423488_202-4979008-1846244 http://www.amazon.co.uk/exec/obidos/ASIN/3540761616/qid%3D1106423488/202-4979008-1846244
http___www.springer.com_computer_ai_book_978-3-540-76161-7 http://www.springer.com/computer/ai/book/978-3-540-76161-7
http___dx.doi.org_10.1007_978-1-4471-0903-7 http://dx.doi.org/10.1007/978-1-4471-0903-7
dracopoulos:1997:GAGPc Genetic Algorithms and Genetic Programming for Control
DimitrisCDracopoulos.html
http___www.springer.com_computer_swe_book_978-3-540-62021-1 http://www.springer.com/computer/swe/book/978-3-540-62021-1
Dracopoulos:2007:WCE Autolanding of Commercial Aircrafts by Genetic Programming
DimitrisCDracopoulos.html
http___www.iaeng.org_publication_WCE2007_WCE2007_pp83-86.pdf http://www.iaeng.org/publication/WCE2007/WCE2007_pp83-86.pdf
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.148.6342 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.148.6342
Dracopoulos:2010:PPSN Bioreactor Control by Genetic Programming
DimitrisCDracopoulos.html
RiccardoPiccoli.html
http___dx.doi.org_10.1007_978-3-642-15871-1_19 http://dx.doi.org/10.1007/978-3-642-15871-1_19
dracopoulos:2012:EuroGP Genetic Programming for Generalised Helicopter Hovering Control
DimitrisCDracopoulos.html
DimitriosEffraimidis.html
http___dx.doi.org_10.1007_978-3-642-29139-5_3 http://dx.doi.org/10.1007/978-3-642-29139-5_3
Dracopoulos:2012:RDIS Swing Up and Balance Control of the Acrobot Solved by Genetic Programming
DimitrisCDracopoulos.html
BarryDNichols.html
http___dx.doi.org_10.1007_978-1-4471-4739-8_19 http://dx.doi.org/10.1007/978-1-4471-4739-8_19
http___dx.doi.org_10.1007_978-1-4471-4739-8_19 http://dx.doi.org/10.1007/978-1-4471-4739-8_19
conf/sgai/DracopoulosN12 Swing Up and Balance Control of the Acrobot Solved by Genetic Programming
DimitrisCDracopoulos.html
BarryDNichols.html
https___westminsterresearch.westminster.ac.uk_item_8z246_swing-up-and-balance-control-of-the-acrobot-solved-by-genetic-programming https://westminsterresearch.westminster.ac.uk/item/8z246/swing-up-and-balance-control-of-the-acrobot-solved-by-genetic-programming
https___eprints.mdx.ac.uk_id_eprint_17065 https://eprints.mdx.ac.uk/id/eprint/17065
http___dx.doi.org_10.1007_978-1-4471-4739-8_19 http://dx.doi.org/10.1007/978-1-4471-4739-8_19
http___dx.doi.org_10.1007_978-1-4471-4739-8_19 http://dx.doi.org/10.1007/978-1-4471-4739-8_19
Dracopoulos:2013:HCSR Genetic programming as a solver to challenging reinforcement learning problems
DimitrisCDracopoulos.html
DimitriosEffraimidis.html
BarryDNichols.html
http___www.novapublishers.org_catalog_product_info.php_products_id_38450 http://www.novapublishers.org/catalog/product_info.php?products_id=38450
http___westminsterresearch.wmin.ac.uk_10982_ http://westminsterresearch.wmin.ac.uk/10982/
Dracopoulos:2015:EXSY Genetic programming for the minimum time swing up and balance control acrobot problem
DimitrisCDracopoulos.html
BarryDNichols.html
http___dx.doi.org_10.1111_exsy.12115 http://dx.doi.org/10.1111/exsy.12115
http___dx.doi.org_10.1111_exsy.12115 http://dx.doi.org/10.1111/exsy.12115
DBLP:phd/basesearch/Drahosova17 Coevolution of Fitness Predictors in Cartesian Genetic Programming
MichaelaSikulova.html
http___hdl.handle.net_11012_187309 http://hdl.handle.net/11012/187309
https___dspace.vutbr.cz_xmlui_bitstream_handle_11012_187309_thesis-1.pdf https://dspace.vutbr.cz/xmlui/bitstream/handle/11012/187309/thesis-1.pdf
https___dblp.org_rec_phd_basesearch_Drahosova17.bib https://dblp.org/rec/phd/basesearch/Drahosova17.bib
Drahosova:EC Adaptive Fitness Predictors in Coevolutionary Cartesian Genetic Programming
MichaelaSikulova.html
LukasSekanina.html
MichalWiglasz.html
http___dx.doi.org_10.1162_evco_a_00229 http://dx.doi.org/10.1162/evco_a_00229
Drake:2012:CIS A Genetic Programming Hyper-Heuristic for the Multidimensional Knapsack Problem
JohnHDrake.html
MatthewRHyde.html
KhaledIbrahim.html
EnderOzcan.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.368.5880 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.368.5880
http___www.cs.nott.ac.uk__exo_docs_publications_cis2012_GP_MKP.pdf http://www.cs.nott.ac.uk/~exo/docs/publications/cis2012_GP_MKP.pdf
drake:2013:EuroGP Generation of VNS Components with Grammatical Evolution for Vehicle Routing
JohnHDrake.html
NikolaosKililis.html
EnderOzcan.html
http___dx.doi.org_10.1007_978-3-642-37207-0_3 http://dx.doi.org/10.1007/978-3-642-37207-0_3
Drake:thesis Crossover Control in Selection Hyper-heuristics: Case Studies using MKP and HyFlex
JohnHDrake.html
http___eprints.nottingham.ac.uk_id_eprint_14276 http://eprints.nottingham.ac.uk/id/eprint/14276
http___eprints.nottingham.ac.uk_14276_1_thesis.pdf http://eprints.nottingham.ac.uk/14276/1/thesis.pdf
Drake:2014:Kybernetes A genetic programming hyper-heuristic for the multidimensional knapsack problem
JohnHDrake.html
MatthewRHyde.html
KhaledIbrahim.html
EnderOzcan.html
http___eprints.nottingham.ac.uk_id_eprint_32174 http://eprints.nottingham.ac.uk/id/eprint/32174
http___www.emeraldinsight.com_doi_full_10.1108_K-09-2013-0201 http://www.emeraldinsight.com/doi/full/10.1108/K-09-2013-0201
http___dx.doi.org_10.1108_K-09-2013-0201 http://dx.doi.org/10.1108/K-09-2013-0201
Draschner:2019:evoLBA Smart Chef: Evolving Recipes
CarstenDraschner.html
JensLehmann.html
HajiraJabeen.html
https___arxiv.org_abs_1907.12698 https://arxiv.org/abs/1907.12698
https___arxiv.org_ftp_arxiv_papers_1907_1907.12698.pdf https://arxiv.org/ftp/arxiv/papers/1907/1907.12698.pdf
Drchal:2012:GECCO Distance measures for HyperGP with fitness sharing
JanDrchal.html
MiroslavSnorek.html
http___dx.doi.org_10.1145_2330163.2330241 http://dx.doi.org/10.1145/2330163.2330241
conf/softcomp/DrchalS12 Genetic Programming of Augmenting Topologies for Hypercube-Based Indirect Encoding of Artificial Neural Networks
JanDrchal.html
MiroslavSnorek.html
http___dx.doi.org_10.1007_978-3-642-32922-7_7 http://dx.doi.org/10.1007/978-3-642-32922-7_7
drechsler:2001:EuroGP Heuristic Learning based on Genetic Programming
NicoleDrechsler.html
FrankSchmiedle.html
DanielGrosse.html
RolfDrechsler.html
http___dx.doi.org_10.1007_3-540-45355-5_1 http://dx.doi.org/10.1007/3-540-45355-5_1
drecourt:1999uANNGPrrmTR Application Of Neural Networks And Genetic Programming To Rainfall Runoff modeling
Jean-PhilippeDrecourt.html
drecourt:1999uANNGPrrm Using Artificial Neural Networks and Genetic Programming in rainfall/runoff modeling
Jean-PhilippeDrecourt.html
Drigas:2009:IJSHC Decade review (1999-2009): progress of application of artificial intelligence tools in student diagnosis
AthanasiosSDrigas.html
KaterinaArgyri.html
JohnVrettaros.html
http___www.inderscience.com_link.php_id_31006 http://www.inderscience.com/link.php?id=31006
http___dx.doi.org_10.1504_IJSHC.2009.031006 http://dx.doi.org/10.1504/IJSHC.2009.031006
Driscoll:thesis Fractals as Basis for Design and Critique Driscoll, John Charles
JohnCharlesDriscoll.html
https___archives.pdx.edu_ds_psu_29935 https://archives.pdx.edu/ds/psu/29935
https___pdxscholar.library.pdx.edu_open_access_etds_5183_ https://pdxscholar.library.pdx.edu/open_access_etds/5183/
https___pdxscholar.library.pdx.edu_cgi_viewcontent.cgi_article_6255_context_open_access_etds https://pdxscholar.library.pdx.edu/cgi/viewcontent.cgi?article=6255&context=open_access_etds
https___www.proquest.com_docview_2306306963 https://www.proquest.com/docview/2306306963
https___www.proquest.com_dissertations-theses_fractals-as-basis-design-critique_docview_2306306963_se-2 https://www.proquest.com/dissertations-theses/fractals-as-basis-design-critique/docview/2306306963/se-2
http___johncdriscoll.com_wp-content_uploads_2019_07_7.21.19.pdf http://johncdriscoll.com/wp-content/uploads/2019/07/7.21.19.pdf
http___dx.doi.org_10.15760_etd.7059 http://dx.doi.org/10.15760/etd.7059
Driscoll:2021:NNJ Fractal Patterns as Fitness Criteria in Genetic Algorithms Applied as a Design Tool in Architecture
JohnCharlesDriscoll.html
https___rdcu.be_cFquh https://rdcu.be/cFquh
http___dx.doi.org_10.1007_s00004-020-00490-4 http://dx.doi.org/10.1007/s00004-020-00490-4
driscoll:2003:GPTP Classification of Gene Expression Data with Genetic Programming
JosephADriscoll.html
WilliamPWorzel.html
DuncanMacLean.html
http___www.springer.com_computer_ai_book_978-1-4020-7581-0 http://www.springer.com/computer/ai/book/978-1-4020-7581-0
http___dx.doi.org_10.1007_978-1-4419-8983-3_3 http://dx.doi.org/10.1007/978-1-4419-8983-3_3
Drobot:2014:ieeeICAQTR Simplified approach for flood estimation and propagation
RaduDrobot.html
CristianDDinu.html
AurelianDraghia.html
MaryJeanneAdler.html
CiprianCorbus.html
MariusMatreata.html
http___dx.doi.org_10.1109_AQTR.2014.6857921 http://dx.doi.org/10.1109/AQTR.2014.6857921
drost:2000:mbea Metric Based Evolutionary Algorithms
StefanDroste.html
DirkWiesmann.html
http___dx.doi.org_10.1007_978-3-540-46239-2_3 http://dx.doi.org/10.1007/978-3-540-46239-2_3
Droste:1997:eGPbf Efficient Genetic Programming for Finding Good Generalizing Boolean Functions
StefanDroste.html
https___eldorado.uni-dortmund.de_dspace_bitstream_2003_5323_1_gp97.pdf https://eldorado.uni-dortmund.de/dspace/bitstream/2003/5323/1/gp97.pdf
http___citeseer.ist.psu.edu_326196.html http://citeseer.ist.psu.edu/326196.html
droste:1998:GPgq Genetic Programming with Guaranteed Quality
StefanDroste.html
https___eldorado.uni-dortmund.de_dspace_bitstream_2003_5321_2_ci1597_doc.pdf https://eldorado.uni-dortmund.de/dspace/bitstream/2003/5321/2/ci1597_doc.pdf
http___citeseer.ist.psu.edu_324287.html http://citeseer.ist.psu.edu/324287.html
oai:CiteSeerPSU:323494 On Representation and Genetic Operators in Evolutionary Algorithms
StefanDroste.html
DirkWiesmann.html
https___eldorado.uni-dortmund.de_bitstream_2003_5341_2_ci4198_doc.pdf https://eldorado.uni-dortmund.de/bitstream/2003/5341/2/ci4198_doc.pdf
http___citeseer.ist.psu.edu_323494.html http://citeseer.ist.psu.edu/323494.html
oai:CiteSeerPSU:411824 Distributed Hybrid Genetic programming for learning Boolean Functions
StefanDroste.html
DominicHeutelbeck.html
IngoWegener.html
https___eldorado.uni-dortmund.de_dspace_bitstream_2003_5393_1_ci90.pdf https://eldorado.uni-dortmund.de/dspace/bitstream/2003/5393/1/ci90.pdf
http___citeseer.ist.psu.edu_411824.html http://citeseer.ist.psu.edu/411824.html
DrostePPSN2000 Distributed Hybrid Genetic Programming for Learning Boolean Functions
StefanDroste.html
DominicHeutelbeck.html
IngoWegener.html
http___ls2-www.cs.uni-dortmund.de__wegener_papers_Paper93.ps http://ls2-www.cs.uni-dortmund.de/~wegener/papers/Paper93.ps
http___eldorado.uni-dortmund.de_0x81d98002_0x00034a39 http://eldorado.uni-dortmund.de/0x81d98002_0x00034a39
http___citeseer.ist.psu.edu_322232.html http://citeseer.ist.psu.edu/322232.html
droste:2003:ACI Theory of Evolutionary Algorithms and Genetic Programming
StefanDroste.html
ThomasJansen.html
GuenterRudolph.html
Hans-PaulSchwefel.html
KarstenTinnefeld.html
IngoWegener.html
http___www.springer.com_computer_ai_book_978-3-540-43269-2 http://www.springer.com/computer/ai/book/978-3-540-43269-2
http___dx.doi.org_10.1007_978-3-662-05609-7_5 http://dx.doi.org/10.1007/978-3-662-05609-7_5
Drstvensek:2004:JMPT A model of data flow in lower CIM levels
IgorDrstvensek.html
IvoPahole.html
JozeBalic.html
http___www.sciencedirect.com_science_article_B6TGJ-4DTM097-5_2_79f4a5e8d987732d6aaad71154b9cf18 http://www.sciencedirect.com/science/article/B6TGJ-4DTM097-5/2/79f4a5e8d987732d6aaad71154b9cf18
http___dx.doi.org_10.1016_j.jmatprotec.2004.09.010 http://dx.doi.org/10.1016/j.jmatprotec.2004.09.010
Drstvensek:2005:TMT Assurance of Accuracy at Polymerisation of Photopolymers
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TomazBrajlih.html
MihaKovacic.html
JozeBalic.html
Drugan:2019:SwarmEC Reinforcement learning versus evolutionary computation: A survey on hybrid algorithms
MadalinaMDrugan.html
http___dx.doi.org_10.1016_j.swevo.2018.03.011 http://dx.doi.org/10.1016/j.swevo.2018.03.011
http___www.sciencedirect.com_science_article_pii_S2210650217302766 http://www.sciencedirect.com/science/article/pii/S2210650217302766
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JanDrugowitsch.html
AlwynMBarry.html
http___gpbib.cs.ucl.ac.uk_gecco2007_docs_p1596.pdf http://gpbib.cs.ucl.ac.uk/gecco2007/docs/p1596.pdf
http___dx.doi.org_10.1145_1276958.1277278 http://dx.doi.org/10.1145/1276958.1277278
Drunpob:2005:WWERC Stream Flowrate Prediction Using Genetic Programming Model in a Semi-Arid Coastal Watershed
AmmarinDrunpob.html
Ni-BinChang.html
MarkBeaman.html
http___dx.doi.org_10.1061_40792_173_352 http://dx.doi.org/10.1061/40792(173)352
journals/isse/Drusinsky17a Reverse engineering concurrent UML state machines using black box testing and genetic programming
DoronDrusinsky.html
http___dx.doi.org_10.1007_s11334-017-0299-9 http://dx.doi.org/10.1007/s11334-017-0299-9
Drust-Nacarino_2015_Antioquia Drought and genetic programming to approach annual agriculture production normalized curves
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MaritzaLilianaArganisJuarez.html
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EdgarGerardoMendoza-Baldwin.html
OscarArturoFuentes-Mariles.html
http___www.scielo.org.co_pdf_rfiua_n77_n77a09.pdf http://www.scielo.org.co/pdf/rfiua/n77/n77a09.pdf
http___dx.doi.org_10.17533_udea.redin.n77a09 http://dx.doi.org/10.17533/udea.redin.n77a09
DuDXXWC:2009:GEC Convergence analysis of gene expression programming based on maintaining elitist
XinDu.html
LixinDing.html
ChenwangXie.html
XingXu.html
ShenwenWang.html
LiChen2.html
http___dx.doi.org_10.1145_1543834.1543952 http://dx.doi.org/10.1145/1543834.1543952
journals/chinaf/DuD10 About the convergence rates of a class of gene expression programming
XinDu.html
LixinDing.html
http___dx.doi.org_10.1007_s11432-010-0041-9 http://dx.doi.org/10.1007/s11432-010-0041-9
journals/soco/DuNXYYX15 The time complexity analysis of a class of gene expression programming
XinDu.html
YoucongNi.html
DatongXie.html
XinYao.html
PengYe.html
RuliangXiao.html
http___dx.doi.org_10.1007_s00500-014-1551-y http://dx.doi.org/10.1007/s00500-014-1551-y
conf/adma/DuanTZWZ06 Distance Guided Classification with Gene Expression Programming
LeiDuan.html
ChangjieTang.html
TianqingZhang.html
DagangWei.html
HuanZhang.html
http___dx.doi.org_10.1007_11811305_26 http://dx.doi.org/10.1007/11811305_26
conf/icnc/DuanTTZZ09 An Effective Microarray Data Classifier Based on Gene Expression Programming
LeiDuan.html
ChangjieTang.html
LiangTang.html
JieZuo.html
TianqingZhang.html
http___dx.doi.org_10.1109_ICNC.2009.267 http://dx.doi.org/10.1109/ICNC.2009.267
conf/adma/DuanTTZZ09 Mining Class Contrast Functions by Gene Expression Programming
LeiDuan.html
ChangjieTang.html
LiangTang.html
TianqingZhang.html
JieZuo.html
http___dx.doi.org_10.1007_978-3-642-03348-3 http://dx.doi.org/10.1007/978-3-642-03348-3
duan:2001:gecco Estimating Stock Price Predictability Using Genetic Programming
MingleiDuan.html
RichardJPovinelli.html
http___gpbib.cs.ucl.ac.uk_gecco2001_d02.pdf http://gpbib.cs.ucl.ac.uk/gecco2001/d02.pdf
duan_annie2001a Nonlinear Modeling: Genetic Programming vs. Fast Evolutionary Programming
MingleiDuan.html
RichardJPovinelli.html
http___povinelli.eece.mu.edu_publications_papers_annie2001a.pdf http://povinelli.eece.mu.edu/publications/papers/annie2001a.pdf
duan_annie2001b Estimating Time Series Predictability Using Genetic Programming
MingleiDuan.html
RichardJPovinelli.html
http___povinelli.eece.mu.edu_publications_papers_annie2001b.pdf http://povinelli.eece.mu.edu/publications/papers/annie2001b.pdf
Dubcakova:2011:GPEM Eureqa: software review
RenataPraksova.html
https___rdcu.be_c5oVx https://rdcu.be/c5oVx
http___dx.doi.org_10.1007_s10710-010-9124-z http://dx.doi.org/10.1007/s10710-010-9124-z
Dubreuil:2006:SMC Analysis of a Master-Slave Architecture for Distributed Evolutionary Computations
MarcDubreuil.html
ChristianGagne.html
MarcParizeau.html
http___vision.gel.ulaval.ca__parizeau_Publications_SMC06.pdf http://vision.gel.ulaval.ca/~parizeau/Publications/SMC06.pdf
http___dx.doi.org_10.1109_TSMCB.2005.856724 http://dx.doi.org/10.1109/TSMCB.2005.856724
conf/iccci/DudaS11 Collective Intelligence of Genetic Programming for Macroeconomic Forecasting
JerzyDuda.html
StanislawSzydlo.html
http___dx.doi.org_10.1007_978-3-642-23938-0_45 http://dx.doi.org/10.1007/978-3-642-23938-0_45
Duela:2023:ICAECT Quantum assisted Genetic Algorithm for Sequencing Compatible Amino Acids in Drug Design
ShinyDuelaJ.html
UmamageswariA.html
PrabavathiR.html
PrashanthUmapathy.html
RajaK.html
http___dx.doi.org_10.1109_ICAECT57570.2023.10117673 http://dx.doi.org/10.1109/ICAECT57570.2023.10117673
Duerrenmatt:thesis Data mining and data-driven modelling approaches to support wastewater treatment plant operation
DavidJDuerrenmatt.html
http___hdl.handle.net_20.500.11850_42293 http://hdl.handle.net/20.500.11850/42293
https___www.research-collection.ethz.ch_handle_20.500.11850_42293 https://www.research-collection.ethz.ch/handle/20.500.11850/42293
https___www.dora.lib4ri.ch_eawag_islandora_object_eawag_13533 https://www.dora.lib4ri.ch/eawag/islandora/object/eawag:13533
https___www.research-collection.ethz.ch_bitstream_handle_20.500.11850_42293_eth-4649-02.pdf https://www.research-collection.ethz.ch/bitstream/handle/20.500.11850/42293/eth-4649-02.pdf
http___dx.doi.org_10.3929_ethz-a-006717398 http://dx.doi.org/10.3929/ethz-a-006717398
Duerrenmatt:2012:WST Automatic reactor model synthesis with genetic programming
DavidJDuerrenmatt.html
WilliGujer.html
http___www.iwaponline.com_wst_06504_0765_065040765.pdf http://www.iwaponline.com/wst/06504/0765/065040765.pdf
http___dx.doi.org_10.2166_wst.2012.913 http://dx.doi.org/10.2166/wst.2012.913
Dufek:2013:CEC Evaluating the Feasibility of Grammar-based GP in Combining Meteorological Forecast Models
AmandaSabatiniDufek.html
DouglasAAugusto.html
PedroLeitedaSilvaDias.html
HelioJCBarbosa.html
http___dx.doi.org_10.1109_CEC.2013.6557550 http://dx.doi.org/10.1109/CEC.2013.6557550
DUFEK2017139 Application of evolutionary computation on ensemble forecast of quantitative precipitation
AmandaSabatiniDufek.html
DouglasAAugusto.html
PedroLeitedaSilvaDias.html
HelioJCBarbosa.html
http___www.sciencedirect.com_science_article_pii_S0098300417306507 http://www.sciencedirect.com/science/article/pii/S0098300417306507
http___dx.doi.org_10.1016_j.cageo.2017.06.011 http://dx.doi.org/10.1016/j.cageo.2017.06.011
Dufek:2018:hbge Multi- and Many-Threaded Heterogeneous Parallel Grammatical Evolution
AmandaSabatiniDufek.html
DouglasAAugusto.html
HelioJCBarbosa.html
PedroLeitedaSilvaDias.html
http___dx.doi.org_10.1007_978-3-319-78717-6_9 http://dx.doi.org/10.1007/978-3-319-78717-6_9
duffy:1999:CEF Using Symbolic Regression to Infer Strategies from Experimental Data
JohnDuffy.html
JimEngle-Warnick.html
http___www.pitt.edu__jduffy_docs_Usr.pdf http://www.pitt.edu/~jduffy/docs/Usr.pdf
http___www.pitt.edu__jduffy_docs_Usr.ps http://www.pitt.edu/~jduffy/docs/Usr.ps
http___citeseer.ist.psu.edu_304022.html http://citeseer.ist.psu.edu/304022.html
duffy:1999:srised Using Symbolic Regression to Infer Strategies from Experimental Data
JohnDuffy.html
JimEngle-Warnick.html
http___www.pitt.edu__jduffy_docs_Usr.ps http://www.pitt.edu/~jduffy/docs/Usr.ps
http___dx.doi.org_10.1007_978-3-7908-1784-3_4 http://dx.doi.org/10.1007/978-3-7908-1784-3_4
Duflo:2019:IPDPSW A GP Hyper-Heuristic Approach for Generating TSP Heuristics
GabrielDuflo.html
EmmanuelKieffer.html
MatthiasRBrust.html
GregoireDanoy.html
PascalBouvry.html
http___dx.doi.org_10.1109_IPDPSW.2019.00094 http://dx.doi.org/10.1109/IPDPSW.2019.00094
Dufourq:2013:WICT Incorporating adaptive discretization into genetic programming for data classification
EmmanuelDufourq.html
NelishiaPillay.html
http___dx.doi.org_10.1109_WICT.2013.7113123 http://dx.doi.org/10.1109/WICT.2013.7113123
Dufourq:2013:WICTa A comparison of genetic programming representations for binary data classification
EmmanuelDufourq.html
NelishiaPillay.html
http___dx.doi.org_10.1109_WICT.2013.7113124 http://dx.doi.org/10.1109/WICT.2013.7113124
Dufourq:2014:NaBIC Hybridizing evolutionary algorithms for creating classifier ensembles
EmmanuelDufourq.html
NelishiaPillay.html
http___dx.doi.org_10.1109_NaBIC.2014.6921858 http://dx.doi.org/10.1109/NaBIC.2014.6921858
dulewicz:2001:HIS Evolving Natural Language Parser with Genetic Programming
GrzegorzDulewicz.html
OlgierdUnold.html
http___www.amazon.com_Hybrid-Information-Systems-Ajith-Abraham_dp_3790814806_ref_sr_1_8_s_books_ie_UTF8_qid_1326475568_sr_1-8 http://www.amazon.com/Hybrid-Information-Systems-Ajith-Abraham/dp/3790814806/ref=sr_1_8?s=books&ie=UTF8&qid=1326475568&sr=1-8
Dumic:2018:FGCS Evolving priority rules for resource constrained project scheduling problem with genetic programming
MatejaDumic.html
DominikSisejkovic.html
RebekaCoric.html
DomagojJakobovic.html
http___www.sciencedirect.com_science_article_pii_S0167739X1732441X http://www.sciencedirect.com/science/article/pii/S0167739X1732441X
http___dx.doi.org_10.1016_j.future.2018.04.029 http://dx.doi.org/10.1016/j.future.2018.04.029
DUMIC:2021:ASC Ensembles of priority rules for resource constrained project scheduling problem
MatejaDumic.html
DomagojJakobovic.html
http___dx.doi.org_10.1016_j.asoc.2021.107606 http://dx.doi.org/10.1016/j.asoc.2021.107606
https___www.sciencedirect.com_science_article_pii_S1568494621005275 https://www.sciencedirect.com/science/article/pii/S1568494621005275
DUMIC:2022:cie Using priority rules for resource-constrained project scheduling problem in static environment
MatejaDumic.html
DomagojJakobovic.html
http___dx.doi.org_10.1016_j.cie.2022.108239 http://dx.doi.org/10.1016/j.cie.2022.108239
https___www.sciencedirect.com_science_article_pii_S0360835222003096 https://www.sciencedirect.com/science/article/pii/S0360835222003096
Dumitriu:2007:ISI Model Discovery and Validation for the Qsar Problem using Association Rule Mining
LuminitaDumitriu.html
CristinaSegal.html
MarianCraciun.html
AdinaCocu.html
LucianPGeorgescu.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.308.3241 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.308.3241
http___www.waset.org_journals_waset_v11_v11-129.pdf http://www.waset.org/journals/waset/v11/v11-129.pdf
http___waset.org_publications_13096 http://waset.org/publications/13096
http___waset.org_Publications_p_11 http://waset.org/Publications?p=11
Dunay:1994:rliGP Regular language induction with genetic programming
BertrandDanielDunay.html
FredericEPetry.html
BillBuckles.html
http___dx.doi.org_10.1109_ICEC.1994.349918 http://dx.doi.org/10.1109/ICEC.1994.349918
dunay:1995:scpga Solving Complex Problems with Genetic Algorithms
BertrandDanielDunay.html
FredericEPetry.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_dunay_1995_scpga.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/dunay_1995_scpga.pdf
hazelthesis The Use of Data-Mining for the Automatic Formation of Tactics
HazelDuncan.html
http___hdl.handle.net_1842_1768 http://hdl.handle.net/1842/1768
https___www.era.lib.ed.ac.uk_bitstream_handle_1842_1768_hazelthesis.pdf https://www.era.lib.ed.ac.uk/bitstream/handle/1842/1768/hazelthesis.pdf
Duncan:2004:IJCAR_WS7 The Use of Data-Mining for the Automatic Formation of Tactics
HazelDuncan.html
AlanBundy.html
JohnLevine.html
AmosStorkey.html
MartinPollet.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.305.1991 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.305.1991
https___www.risc.jku.at_conferences_IJCAR-WS7_html-files_IJCAR-WS7.pdf https://www.risc.jku.at/conferences/IJCAR-WS7/html-files/IJCAR-WS7.pdf
Dunn20061209 Parisian camera placement for vision metrology
EnriqueDunn.html
GustavoOlague.html
EvelyneLutton.html
http___dx.doi.org_10.1016_j.patrec.2005.07.019 http://dx.doi.org/10.1016/j.patrec.2005.07.019
http___www.sciencedirect.com_science_article_B6V15-4HX477K-2_2_e82b5b25f9a7a82607ac4b30c9fb9c45 http://www.sciencedirect.com/science/article/B6V15-4HX477K-2/2/e82b5b25f9a7a82607ac4b30c9fb9c45
dunning:1996:eanlp Evolutionary Algorithms for Natural Language Processing
TedEDunning.html
MarkWDavis.html
10.1109/CRV.2006.32 Evolving a Vision-Based Line-Following Robot Controller
Jean-FrancoisDupuis.html
MarcParizeau.html
http___vision.gel.ulaval.ca__jfdupuis_pubs_jfdupuisCRV2006.pdf http://vision.gel.ulaval.ca/~jfdupuis/pubs/jfdupuisCRV2006.pdf
http___dx.doi.org_10.1109_CRV.2006.32 http://dx.doi.org/10.1109/CRV.2006.32
Dupuis2011ab Automated Design of Hybrid Systems Using Evolutionary Computation
Jean-FrancoisDupuis.html
http___www.jfdupuis.info_files_Dupuis2011ab.pdf http://www.jfdupuis.info/files/Dupuis2011ab.pdf
Dupuis:2011:ieeeTEC Evolutionary Design of Both Topologies and Parameters of a Hybrid Dynamical System
Jean-FrancoisDupuis.html
ZhunFan.html
ErikGoodman.html
http___dx.doi.org_10.1109_TEVC.2011.2159724 http://dx.doi.org/10.1109/TEVC.2011.2159724
Durasevic:2016:ASC Adaptive scheduling on unrelated machines with genetic programming
MarkoDurasevic.html
DomagojJakobovic.html
KarloKnezevic.html
http___dx.doi.org_10.1016_j.asoc.2016.07.025 http://dx.doi.org/10.1016/j.asoc.2016.07.025
http___www.sciencedirect.com_science_article_pii_S1568494616303519 http://www.sciencedirect.com/science/article/pii/S1568494616303519
Durasevic:GPEM Evolving dispatching rules for optimising many-objective criteria in the unrelated machines environment
MarkoDurasevic.html
DomagojJakobovic.html
http___dx.doi.org_10.1007_s10710-017-9310-3 http://dx.doi.org/10.1007/s10710-017-9310-3
Durasevic:2017:GPEM Comparison of ensemble learning methods for creating ensembles of dispatching rules for the unrelated machines environment
MarkoDurasevic.html
DomagojJakobovic.html
http___dx.doi.org_10.1007_s10710-017-9302-3 http://dx.doi.org/10.1007/s10710-017-9302-3
Durasevic2019 Creating dispatching rules by simple ensemble combination
MarkoDurasevic.html
DomagojJakobovic.html
https___doi.org_10.1007_s10732-019-09416-x https://doi.org/10.1007/s10732-019-09416-x
http___dx.doi.org_10.1007_s10732-019-09416-x http://dx.doi.org/10.1007/s10732-019-09416-x
DURASEVIC:2020:ASC Comparison of schedule generation schemes for designing dispatching rules with genetic programming in the unrelated machines environment
MarkoDurasevic.html
DomagojJakobovic.html
http___dx.doi.org_10.1016_j.asoc.2020.106637 http://dx.doi.org/10.1016/j.asoc.2020.106637
http___www.sciencedirect.com_science_article_pii_S1568494620305755 http://www.sciencedirect.com/science/article/pii/S1568494620305755
Durasevic:2020:PPSN Fitness landscape analysis of dimensionally-aware genetic programming featuring Feynman equations
MarkoDurasevic.html
DomagojJakobovic.html
MarcellaScoczynskiRibeiroMartins.html
StjepanPicek.html
MarkusWagner.html
https___arxiv.org_abs_2004.12762 https://arxiv.org/abs/2004.12762
http___dx.doi.org_10.1007_978-3-030-58115-2_8 http://dx.doi.org/10.1007/978-3-030-58115-2_8
DURASEVIC2022101649 Selection of dispatching rules evolved by genetic programming in dynamic unrelated machines scheduling based on problem characteristics
MarkoDurasevic.html
DomagojJakobovic.html
https___www.sciencedirect.com_science_article_pii_S1877750322000667 https://www.sciencedirect.com/science/article/pii/S1877750322000667
http___dx.doi.org_10.1016_j.jocs.2022.101649 http://dx.doi.org/10.1016/j.jocs.2022.101649
10.1007/978-3-031-06527-9_12 Constructing Ensembles of Dispatching Rules for Multi-objective Problems
MarkoDurasevic.html
LucijaPlaninic.html
FranciscoJavierGilGala.html
DomagojJakobovic.html
http___dx.doi.org_10.1007_978-3-031-06527-9_12 http://dx.doi.org/10.1007/978-3-031-06527-9_12
durasevic:2022:GECCO Novel ensemble collaboration method for dynamic scheduling problems
MarkoDurasevic.html
LucijaPlaninic.html
FranciscoJavierGilGala.html
DomagojJakobovic.html
https___doi.org_10.1145_3512290.3528807 https://doi.org/10.1145/3512290.3528807
http___dx.doi.org_10.1145_3512290.3528807 http://dx.doi.org/10.1145/3512290.3528807
DBLP:conf/gecco/DurasevicJ022 Introduction to automated design of scheduling heuristics with genetic programming
MarkoDurasevic.html
DomagojJakobovic.html
YiMei.html
SuNguyen.html
MengjieZhang.html
https___doi.org_10.1145_3520304.3533667 https://doi.org/10.1145/3520304.3533667
http___dx.doi.org_10.1145_3520304.3533667 http://dx.doi.org/10.1145/3520304.3533667
https___dblp.org_rec_conf_gecco_DurasevicJ022.bib https://dblp.org/rec/conf/gecco/DurasevicJ022.bib
DURASEVIC:2022:asoc Automated design of heuristics for the container relocation problem using genetic programming
MarkoDurasevic.html
MatejaDumic.html
http___dx.doi.org_10.1016_j.asoc.2022.109696 http://dx.doi.org/10.1016/j.asoc.2022.109696
https___www.sciencedirect.com_science_article_pii_S1568494622007451 https://www.sciencedirect.com/science/article/pii/S1568494622007451
DURASEVIC:2023:asoc Corrigendum to ``Automated design of heuristics for the container relocation problem using genetic programming'', [Appl. Soft Comput. 130 (2022) 109696]
MarkoDurasevic.html
MatejaDumic.html
http___dx.doi.org_10.1016_j.asoc.2022.109836 http://dx.doi.org/10.1016/j.asoc.2022.109836
https___www.sciencedirect.com_science_article_pii_S1568494622008857 https://www.sciencedirect.com/science/article/pii/S1568494622008857
Durasevic:2023:EuroGP To bias or not to bias: Probabilistic initialisation for evolving dispatching rules
MarkoDurasevic.html
FranciscoJavierGilGala.html
DomagojJakobovic.html
https___rdcu.be_c8U3i https://rdcu.be/c8U3i
http___dx.doi.org_10.1007_978-3-031-29573-7_20 http://dx.doi.org/10.1007/978-3-031-29573-7_20
durasevic:2023:GECCO Divide and Conquer: Using Single Objective Dispatching Rules to Improve Convergence for Multi-Objective Optimisation
MarkoDurasevic.html
FranciscoJavierGilGala.html
DomagojJakobovic.html
http___dx.doi.org_10.1145_3583131.3590370 http://dx.doi.org/10.1145/3583131.3590370
durasevic:2023:GECCOcompA Automated Design of Relocation Rules for Minimising Energy Consumption in the Container Relocation Problem
MarkoDurasevic.html
MatejaDumic.html
RebekaCoric.html
FranciscoJavierGilGala.html
http___dx.doi.org_10.1145_3583133.3590561 http://dx.doi.org/10.1145/3583133.3590561
durasevic:2023:GECCOcomp2 Does Size Matter? On the Influence of Ensemble Size on Constructing Ensembles of Dispatching Rules
MarkoDurasevic.html
FranciscoJavierGilGala.html
DomagojJakobovic.html
http___dx.doi.org_10.1145_3583133.3590562 http://dx.doi.org/10.1145/3583133.3590562
DBLP:journals/corr/DurieuxMMSX15 Automatic Repair of Real Bugs: An Experience Report on the Defects4J Dataset
ThomasDurieux.html
MatiasSebastianMartinez.html
MartinMonperrus.html
RomainSommerard.html
JifengXuan.html
http___arxiv.org_abs_1505.07002 http://arxiv.org/abs/1505.07002
http___dblp.uni-trier.de_rec_bib_journals_corr_DurieuxMMSX15 http://dblp.uni-trier.de/rec/bib/journals/corr/DurieuxMMSX15
oai:arXiv.org:1311.5250 Attractor Control Using Machine Learning
ThomasDuriez.html
VladimirParezanovic.html
BerndRNoack.html
LaurentCordier.html
MarcSegond.html
MarkusWAbel.html
http___arxiv.org_abs_1311.5250 http://arxiv.org/abs/1311.5250
oai:arXiv.org:1505.01022 Feedback Control of Turbulent Shear Flows by Genetic Programming
ThomasDuriez.html
VladimirParezanovic.html
KaiAFFvonKrbek.html
Jean-PaulBonnet.html
LaurentCordier.html
BerndRNoack.html
MarcSegond.html
MarkusWAbel.html
NicolasGautier.html
Jean-LucAider.html
CedricRaibaudo.html
ChristopheCuvier.html
MichelStanislas.html
AntoineDebien.html
NicolasMazellier.html
AzeddineKourta.html
StevenLBrunton.html
http___arxiv.org_abs_1505.01022 http://arxiv.org/abs/1505.01022
Durrett:2010:ccaGP2pmips Computational Complexity Analysis of Simple Genetic Programming On Two Problems Modeling Isolated Program Semantics
GregDurrett.html
FrankNeumann.html
Una-MayO'Reilly.html
http___arxiv.org_pdf_1007.4636v1 http://arxiv.org/pdf/1007.4636v1
Durrett:2011:foga Computational Complexity Analysis of Simple Genetic Programming On Two Problems Modeling Isolated Program Semantics
GregDurrett.html
FrankNeumann.html
Una-MayO'Reilly.html
http___dx.doi.org_10.1145_1967654.1967661 http://dx.doi.org/10.1145/1967654.1967661
duyvesteyn:2005:CEC Genetic Programming in Economic Modelling
KorneelDuyvesteyn.html
UzayKaymak.html
http___dx.doi.org_10.1109_CEC.2005.1554803 http://dx.doi.org/10.1109/CEC.2005.1554803
Dvoracek:2016:EuroGP Evolutionary Approximation of Edge Detection Circuits
PetrDvoracek.html
LukasSekanina.html
http___dx.doi.org_10.1007_978-3-319-30668-1_2 http://dx.doi.org/10.1007/978-3-319-30668-1_2
Dworman:95-01-04 An Application of Genetic Programming to Bargaining in a Three-Agent Coalition Game
GarettODworman.html
StevenOrlaKimbrough.html
JamesDLaing.html
http___opim.wharton.upenn.edu_risk_downloads_archive_arch62.pdf http://opim.wharton.upenn.edu/risk/downloads/archive/arch62.pdf
dworman:1995:b3acg Bargaining in a Three-Agent Coalition Game: An Application of Genetic Programming
GarettODworman.html
StevenOrlaKimbrough.html
JamesDLaing.html
http___www.aaai.org_Papers_Symposia_Fall_1995_FS-95-01_FS95-01-002.pdf http://www.aaai.org/Papers/Symposia/Fall/1995/FS-95-01/FS95-01-002.pdf
http___www.aaai.org_Library_Symposia_Fall_fs95-01.php http://www.aaai.org/Library/Symposia/Fall/fs95-01.php
dworman:1995:iGPSgt Implementation of a Genetic Programming System in a Game-Theoretic Context
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JamesDLaing.html
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Dworman:1995:JMIS On Automated Discovery of Models Using Genetic Programming: Bargaining in a Three-Agent Coalitions Game
GarettODworman.html
StevenOrlaKimbrough.html
JamesDLaing.html
http___www.jmis-web.org_articles_307 http://www.jmis-web.org/articles/307
http___www.tandfonline.com_doi_abs_10.1080_07421222.1995.11518093 http://www.tandfonline.com/doi/abs/10.1080/07421222.1995.11518093
https___oid.wharton.upenn.edu_files__whdmsaction_public_main.file_fileID_5434. https://oid.wharton.upenn.edu/files/?whdmsaction=public:main.file&fileID=5434.
http___dx.doi.org_10.1080_07421222.1995.11518093 http://dx.doi.org/10.1080/07421222.1995.11518093
dworman:1996:admGPgtc On Automated Discovery of Models Using Genetic Programming in Game-Theoretic Contexts
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StevenOrlaKimbrough.html
JamesDLaing.html
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http___dx.doi.org_10.1109_HICSS.1995.375625 http://dx.doi.org/10.1109/HICSS.1995.375625
dworman:1996:baa2cg Bargaining by Artificial Agents in Two Coalition Games: A Study in Genetic Programming for Electronic Commerce
GarettODworman.html
StevenOrlaKimbrough.html
JamesDLaing.html
http___cognet.mit.edu_sites_default_files_books_9780262315876_pdfs_9780262315876_chap7.pdf http://cognet.mit.edu/sites/default/files/books/9780262315876/pdfs/9780262315876_chap7.pdf
http___cognet.mit.edu_library_books_view_isbn_0262611279 http://cognet.mit.edu/library/books/view?isbn=0262611279
Dzalbs:2017:miller Multi-step Ahead Forecasting Using Cartesian Genetic Programming
IvarsDzalbs.html
TatianaKalganova.html
http___dx.doi.org_10.1007_978-3-319-67997-6_11 http://dx.doi.org/10.1007/978-3-319-67997-6_11
DZALBS:2018:BDR Forecasting Price Movements in Betting Exchanges Using Cartesian Genetic Programming and ANN
IvarsDzalbs.html
TatianaKalganova.html
http___dx.doi.org_10.1016_j.bdr.2018.10.001 http://dx.doi.org/10.1016/j.bdr.2018.10.001
http___www.sciencedirect.com_science_article_pii_S221457961730374X http://www.sciencedirect.com/science/article/pii/S221457961730374X
Dzalbs:thesis OptPlatform: metaheuristic optimisation framework for solving complex real-world problems
IvarsDzalbs.html
http___bura.brunel.ac.uk_handle_2438_22848 http://bura.brunel.ac.uk/handle/2438/22848
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dzeroski:1994:ECML Discovering dynamics with genetic programming
SasoDzeroski.html
IgorPetrovski.html
https___rdcu.be_dq39r https://rdcu.be/dq39r
http___link.springer.com_chapter_10.1007_3-540-57868-4_70 http://link.springer.com/chapter/10.1007/3-540-57868-4_70
http___dx.doi.org_10.1007_3-540-57868-4_70 http://dx.doi.org/10.1007/3-540-57868-4_70
dzeroski:1995:dsiml Dynamical System Identification with Machine Learning
SasoDzeroski.html
LjupcoTodorovski.html
IgorPetrovski.html
http___www-ai.ijs.si_SasoDzeroski_oldPage_publications.htm http://www-ai.ijs.si/SasoDzeroski/oldPage/publications.htm
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_dzeroski_1995_dsiml.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/dzeroski_1995_dsiml.pdf
Dziurzanski:2020:CEC Empirical Analysis of 1-edit Degree Patches in Syntax-Based Automatic Program Repair
PiotrDziurzanski.html
SimosGerasimou.html
DimitrisKolovos.html
NicholasMatragkas.html
http___geneticimprovementofsoftware.com_paper_pdfs_E-24527.pdf http://geneticimprovementofsoftware.com/paper_pdfs/E-24527.pdf
https___pure.york.ac.uk_portal_en_publications_empirical-analysis-of-1edit-degree-patches-in-syntaxbased-automatic-program-repair_83213662-3691-42ce-804e-0fc8c524f2f8_.html https://pure.york.ac.uk/portal/en/publications/empirical-analysis-of-1edit-degree-patches-in-syntaxbased-automatic-program-repair(83213662-3691-42ce-804e-0fc8c524f2f8).html
http___dx.doi.org_10.1109_CEC48606.2020.9185913 http://dx.doi.org/10.1109/CEC48606.2020.9185913
Easterbrook:2023:USNC-URSI Broadband Metamaterial Design Using Carbon Fiber and Resistive Sheet Materials
ZionEasterbrook.html
EdmondCMChong.html
SunnyZhang.html
MagdyFIskander.html
ZhengqingYun.html
http___dx.doi.org_10.1109_USNC-URSI52151.2023.10237910 http://dx.doi.org/10.1109/USNC-URSI52151.2023.10237910
Easton:2021:evomusart Axial Generation: A Concretism-Inspired Method for Synthesizing Highly Varied Artworks
EdwardEaston.html
AnikoEkart.html
UlyssesBernardet.html
http___dx.doi.org_10.1007_978-3-030-72914-1_8 http://dx.doi.org/10.1007/978-3-030-72914-1_8
Easton:2024:evomusart Modelling Individual Aesthetic Preferences of 3D Sculptures
EdwardEaston.html
UlyssesBernardet.html
AnikoEkart.html
https___rdcu.be_dD0Gt https://rdcu.be/dD0Gt
http___dx.doi.org_10.1007_978-3-031-56992-0_9 http://dx.doi.org/10.1007/978-3-031-56992-0_9
Ebbels2009361 Bioinformatic methods in NMR-based metabolic profiling
TimothyMEbbels.html
RachelCavill.html
http___dx.doi.org_10.1016_j.pnmrs.2009.07.003 http://dx.doi.org/10.1016/j.pnmrs.2009.07.003
http___www.sciencedirect.com_science_article_pii_S0079656509000788 http://www.sciencedirect.com/science/article/pii/S0079656509000788
Eberbach:1997:eGPdc Enhancing Genetic Programming by \$-calculus
EugeneEberbach.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_gp1997_Eberbach_1997_eGPdc.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/gp1997/Eberbach_1997_eGPdc.pdf
eberbach:1998:xECGPALAADNAClc Expressing Evolutionary Computation, Genetic Programming, Artificial Life, Autonomous Agents and DNA-Based Computing in l-Calculus
EugeneEberbach.html
eberbach:2000:eecgpalaadc Expressing Evolutionary Computation, Genetic Programming, Artificial Life, Autonomous Agents, and DNA-Based Computing in \$-Calculus
EugeneEberbach.html
http___www.cis.umassd.edu__eeberbach_papers_cec2000.ps http://www.cis.umassd.edu/~eeberbach/papers/cec2000.ps
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http___dx.doi.org_10.1109_CEC.2000.870810 http://dx.doi.org/10.1109/CEC.2000.870810
Eberbach2007200 The \$-calculus process algebra for problem solving: A paradigmatic shift in handling hard computational problems
EugeneEberbach.html
http___dx.doi.org_10.1016_j.tcs.2007.04.012 http://dx.doi.org/10.1016/j.tcs.2007.04.012
http___www.sciencedirect.com_science_article_B6V1G-4NGKWGF-7_2_07c09787a0b898de98e171ac414f6ddc http://www.sciencedirect.com/science/article/B6V1G-4NGKWGF-7/2/07c09787a0b898de98e171ac414f6ddc
Eberbach:2009:cec Evolutionary Automata as Foundation of Evolutionary Computation: Larry Fogel Was Right
EugeneEberbach.html
MarkBurgin.html
http___dx.doi.org_10.1109_CEC.2009.4983207 http://dx.doi.org/10.1109/CEC.2009.4983207
Eberhardinger:2014:SASOW Quality Assurance for Self-Adaptive, Self-Organising Systems (Message from the Workshop Organisers)
BenediktEberhardinger.html
WolfgangReif.html
FranzWotawa.html
TomHolvoet.html
http___dx.doi.org_10.1109_SASOW.2014.30 http://dx.doi.org/10.1109/SASOW.2014.30
ebert:1998:tmpa Texturing and Modeling, a Procedural Approach
DavidSEbert.html
KenMusgrave.html
DarwynPeachey.html
KenPerlin.html
StevenWorley.html
http___www.amazon.ca_gp_reader_0122287304_ref_sib_rdr_next1_S00E_702-6803721-8680860_ie_UTF8_p_S00E_ns_1 http://www.amazon.ca/gp/reader/0122287304/ref=sib_rdr_next1_S00E/702-6803721-8680860?ie=UTF8&p=S00E&ns=1
EBID:2021:ASEJ Prediction of shear strength of FRP reinforced beams with and without stirrups using (GP) technique
AhmedMEbid.html
AhmedFaroukMohamedHassanDeifalla.html
http___dx.doi.org_10.1016_j.asej.2021.02.006 http://dx.doi.org/10.1016/j.asej.2021.02.006
https___www.sciencedirect.com_science_article_pii_S2090447921000885 https://www.sciencedirect.com/science/article/pii/S2090447921000885
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AhmedMEbid.html
LightIhennaNwobia.html
KennedyCOnyelowe.html
FrankIAneke.html
https___doi.org_10.1155_2021_5992628 https://doi.org/10.1155/2021/5992628
http___dx.doi.org_10.1155_2021_5992628 http://dx.doi.org/10.1155/2021/5992628
https___dblp.org_rec_journals_acisc_EbidNOA21.bib https://dblp.org/rec/journals/acisc/EbidNOA21.bib
ebid:2022:Materials Using Artificial Intelligence Techniques to Predict Punching Shear Capacity of Lightweight Concrete Slabs
AhmedMEbid.html
AhmedFaroukMohamedHassanDeifalla.html
https___www.mdpi.com_1996-1944_15_8_2732 https://www.mdpi.com/1996-1944/15/8/2732
http___dx.doi.org_10.3390_ma15082732 http://dx.doi.org/10.3390/ma15082732
ebid:2022:Sustainability Evaluating Shear Strength of Light-Weight and Normal-Weight Concretes through Artificial Intelligence
AhmedMEbid.html
AhmedFaroukMohamedHassanDeifalla.html
HishamAMahdi.html
https___www.mdpi.com_2071-1050_14_21_14010 https://www.mdpi.com/2071-1050/14/21/14010
http___dx.doi.org_10.3390_su142114010 http://dx.doi.org/10.3390/su142114010
ebid:2022:Designs Load-Settlement Curve and Subgrade Reaction of Strip Footing on Bi-Layered Soil Using Constitutive FEM-AI Coupled Techniques
AhmedMEbid.html
KennedyCOnyelowe.html
MohamedSalah.html
https___www.mdpi.com_2411-9660_6_6_104 https://www.mdpi.com/2411-9660/6/6/104
http___dx.doi.org_10.3390_designs6060104 http://dx.doi.org/10.3390/designs6060104
Ebner:1997a Evolution of Hierarchical Translation-Invariant Feature Detectors with an Application to Character Recognition
MarcEbner.html
http___wwwi2.informatik.uni-wuerzburg.de_staff_ebner_research_publications_uniTu_evolve.ps.gz http://wwwi2.informatik.uni-wuerzburg.de/staff/ebner/research/publications/uniTu/evolve.ps.gz
Ebner:1997b On the Evolution of Edge Detectors for Robot Vision using Genetic Programming
MarcEbner.html
http___www.ra.cs.uni-tuebingen.de_mitarb_ebner_research_publications_uniTu_gpedge.ps.gz http://www.ra.cs.uni-tuebingen.de/mitarb/ebner/research/publications/uniTu/gpedge.ps.gz
ebner:1998:eioGP On the Evolution of Interest Operators using Genetic Programming
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Ebner:1998c Evolution of a control architecture for a mobile robot
MarcEbner.html
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http___citeseer.ist.psu.edu_512626.html http://citeseer.ist.psu.edu/512626.html
http___dx.doi.org_10.1007_BFb0057632 http://dx.doi.org/10.1007/BFb0057632
ebner:1999:eemrl Evolving an Environment Model for Robot Localization
MarcEbner.html
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http___dx.doi.org_10.1007_3-540-48885-5_15 http://dx.doi.org/10.1007/3-540-48885-5_15
ebner:1999:etsio Evolving a Task Specific Image Operator
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http___dx.doi.org_10.1007_10704703_6 http://dx.doi.org/10.1007/10704703_6
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ebner:1999:EF Evolving a behavior-based control architecture- From simulations to the real world
MarcEbner.html
AndreasZell.html
http___gpbib.cs.ucl.ac.uk_gecco1999_GP-414.pdf http://gpbib.cs.ucl.ac.uk/gecco1999/GP-414.pdf
http___gpbib.cs.ucl.ac.uk_gecco1999_GP-414.ps http://gpbib.cs.ucl.ac.uk/gecco1999/GP-414.ps
ebner:1999:OSSGPIRNSS On the Search Space of Genetic Programming and Its Relation to Nature's Search Space
MarcEbner.html
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http___stubber.math-inf.uni-greifswald.de__ebner_resources_uniTu_gpfitness.pdf http://stubber.math-inf.uni-greifswald.de/~ebner/resources/uniTu/gpfitness.pdf
http___dx.doi.org_10.1109_CEC.1999.782609 http://dx.doi.org/10.1109/CEC.1999.782609
ebner:thesis Steuerung eines mobilen Roboters mit evolvierten Merkmalsdetektoren
MarcEbner.html
http___www2.informatik.uni-wuerzburg.de_staff_ebner_research_publications_uniTu_diss.ps.gz http://www2.informatik.uni-wuerzburg.de/staff/ebner/research/publications/uniTu/diss.ps.gz
ebner:2001:EuroGP Evolving Color Constancy for an Artificial Retina
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http___dx.doi.org_10.1007_3-540-45355-5_2 http://dx.doi.org/10.1007/3-540-45355-5_2
Ebner:2001:ECAL A Three-Dimensional Environment for Self-Reproducing Programs
MarcEbner.html
http___wwwi2.informatik.uni-wuerzburg.de_staff_ebner_research_publications_uniWu_selfRep.ps.gz http://wwwi2.informatik.uni-wuerzburg.de/staff/ebner/research/publications/uniWu/selfRep.ps.gz
http___dx.doi.org_10.1007_3-540-44811-X_33 http://dx.doi.org/10.1007/3-540-44811-X_33
ebner:2002:EuroGP Coevolution Produces an Arms Race Among Virtual Plants
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http___wwwi2.informatik.uni-wuerzburg.de_mitarbeiter_ebner_research_publications_uniWu_evoPlant.ps.gz http://wwwi2.informatik.uni-wuerzburg.de/mitarbeiter/ebner/research/publications/uniWu/evoPlant.ps.gz
http___dx.doi.org_10.1007_3-540-45984-7_31 http://dx.doi.org/10.1007/3-540-45984-7_31
ebner03 Evolutionary Design of Objects Using Scene Graphs
MarcEbner.html
http___dx.doi.org_10.1007_3-540-36599-0_5 http://dx.doi.org/10.1007/3-540-36599-0_5
Ebner:2003:ECAL Evolution and Growth of Virtual Plants
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http___dx.doi.org_10.1007_b12035 http://dx.doi.org/10.1007/b12035
ebner:2003:GPEM Book Review: Illustrating Evolutionary Computation with Mathematica
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http___dx.doi.org_10.1007_978-3-540-31989-4_23 http://dx.doi.org/10.1007/978-3-540-31989-4_23
http___dx.doi.org_10.1007_b107383 http://dx.doi.org/10.1007/b107383
Ebner:2006:GPEM Coevolution and the Red Queen effect shape virtual plants
MarcEbner.html
http___dx.doi.org_10.1007_s10710-006-7013-2 http://dx.doi.org/10.1007/s10710-006-7013-2
Ebner:2006:PRL Evolving color constancy
MarcEbner.html
http___dx.doi.org_10.1016_j.patrec.2005.07.020 http://dx.doi.org/10.1016/j.patrec.2005.07.020
ebner:2007:GP Proceedings of the 10th European Conference on Genetic Programming
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AnikoEkart.html
LeonardoVanneschi.html
AnnaEsparcia-Alcazar.html
http___dx.doi.org_10.1007_978-3-540-71605-1 http://dx.doi.org/10.1007/978-3-540-71605-1
Ebner:2007:inCC Color Constancy
MarcEbner.html
http___eu.wiley.com_WileyCDA_WileyTitle_productCd-0470058293.html http://eu.wiley.com/WileyCDA/WileyTitle/productCd-0470058293.html
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MarcEbner.html
http___dx.doi.org_10.1007_978-3-540-78671-9_6 http://dx.doi.org/10.1007/978-3-540-78671-9_6
Ebner:2008:SASOW An Adaptive On-Line Evolutionary Visual System
MarcEbner.html
http___dx.doi.org_10.1109_SASOW.2008.18 http://dx.doi.org/10.1109/SASOW.2008.18
Ebner:2009:eurogp A Real-Time Evolutionary Object Recognition System
MarcEbner.html
http___dx.doi.org_10.1007_978-3-642-01181-8_23 http://dx.doi.org/10.1007/978-3-642-01181-8_23
Ebner:2009:CIG Evolving driving controllers using Genetic Programming
MarcEbner.html
ThorstenTiede.html
https___stubber.math-inf.uni-greifswald.de__ebner_resources_uniTu2_evoCarDriver.pdf https://stubber.math-inf.uni-greifswald.de/~ebner/resources/uniTu2/evoCarDriver.pdf
http___dx.doi.org_10.1109_CIG.2009.5286465 http://dx.doi.org/10.1109/CIG.2009.5286465
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MarcEbner.html
http___www.ra.cs.uni-tuebingen.de_mitarb_ebner_research_publications_uniTu2_EvoCVengineering.pdf http://www.ra.cs.uni-tuebingen.de/mitarb/ebner/research/publications/uniTu2/EvoCVengineering.pdf
http___dx.doi.org_10.1007_978-3-642-04697-1_34 http://dx.doi.org/10.1007/978-3-642-04697-1_34
Ebner:2010:EvoIASP Towards Automated Learning of Object Detectors
MarcEbner.html
http___dx.doi.org_10.1007_978-3-642-12239-2_24 http://dx.doi.org/10.1007/978-3-642-12239-2_24
Ebner:2010b Evolving Object Detectors with a GPU Accelerated Vision System
MarcEbner.html
http___dx.doi.org_10.1007_978-3-642-15323-5_10 http://dx.doi.org/10.1007/978-3-642-15323-5_10
EBRAHIMI:2022:JPSE Estimation of shear wave velocity in an Iranian oil reservoir using machine learning methods
ArashEbrahimi.html
AminIzadpanahi.html
ParirokhEbrahimi.html
AliRanjbar.html
http___dx.doi.org_10.1016_j.petrol.2021.109841 http://dx.doi.org/10.1016/j.petrol.2021.109841
https___www.sciencedirect.com_science_article_pii_S0920410521014601 https://www.sciencedirect.com/science/article/pii/S0920410521014601
EBRAHIMIKHUSFI:2020:APR Evaluation of machine learning models for predicting the temporal variations of dust storm index in arid regions of Iran
ZohreEbrahimi-Khusfi.html
RuhollahTaghizadeh-Mehrjardi.html
MaryamMirakbari.html
http___dx.doi.org_10.1016_j.apr.2020.08.029 http://dx.doi.org/10.1016/j.apr.2020.08.029
http___www.sciencedirect.com_science_article_pii_S1309104220302579 http://www.sciencedirect.com/science/article/pii/S1309104220302579
EBRAHIMZADE:2018:JECE A novel predictive model for estimation of cobalt leaching from waste Li-ion batteries: Application of genetic programming for design
HosseinEbrahimzade.html
GholamRezaKhayati.html
MahinSchaffie.html
http___dx.doi.org_10.1016_j.jece.2018.05.045 http://dx.doi.org/10.1016/j.jece.2018.05.045
http___www.sciencedirect.com_science_article_pii_S2213343718302914 http://www.sciencedirect.com/science/article/pii/S2213343718302914
Ebstyne:1997:msm Musings on Syncopation and Machines
MichaelJEbstyne.html
journals/asc/EbtehajBZAS15 Gene expression programming to predict the discharge coefficient in rectangular side weirs
IsaEbtehaj.html
HosseinBonakdari.html
AmirHosseinZaji.html
HamedAzimi.html
AliSharifi.html
http___dx.doi.org_10.1016_j.asoc.2015.07.003 http://dx.doi.org/10.1016/j.asoc.2015.07.003
http___www.sciencedirect.com_science_article_pii_S1568494615004330 http://www.sciencedirect.com/science/article/pii/S1568494615004330
Echevarria-Cartaya:thesis Aportes a los Algoritmos de Aprendizaje Multiobjetivo para Modelos Semi-fisicos de Estimacion del Estado de Salud en Baterias
YuvinyEchevarriaCartaya.html
http___hdl.handle.net_10651_45012 http://hdl.handle.net/10651/45012
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ECHEVARRIA:2019:EAAI Learning human-understandable models for the health assessment of Li-ion batteries via Multi-Objective Genetic Programming
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CecilioJoseBlancoViejo.html
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Eddeen:2014:CSIT Genetic Hash Algorithm
LubnaMHNasirEddeen.html
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Doa'aSaadah.html
http___dx.doi.org_10.1109_CSIT.2014.6805974 http://dx.doi.org/10.1109/CSIT.2014.6805974
edelson:1999:ECCFIGCUASIFPM Efficient Calculation of Compute-Intensive Fitness In Genetic Computations Using A Survival Indicator For Population Members
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edmonds:1995:fuzzy Genetic Programming of Fuzzy Logic Production Rules
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edmonds:1997:mbrea Modelling of Boundedly Rational Agents using Evolutionary Programming Techniques
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edmonds:1998:mGPcov Meta-Genetic Programming: Co-evolving the Operators of Variation
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edmonds:1998:gsrefb Gossip, Sexual Recombination and the El Farol Bar: modelling the emergence of heterogeneity
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edmonds:1998:GP5 The Uses of Genetic Programming in Social Simulation: A Review of Five Books
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edmonds:1999:gsrefb Gossip, Sexual Recombination and the El Farol bar: modelling the emergence of heterogeneity
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edmonds:1999:r5GP The Uses of Genetic Programming in Social Simulation: A Review of Five Books
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edmonds:2000:aigp A Review of the ``Advances in Genetic Programming'' Series (Volumes 1, 2 and 3)
BruceEdmonds.html
http___dx.doi.org_10.1023_A_1010018414986 http://dx.doi.org/10.1023/A:1010018414986
edmonds:2001:MUC Learning Appropriate Contexts
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Edmonds:2001:IRC The Importance of Representing Cognitive Processes in Multi-agent Models
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edmonds:2001:mGPcov Meta-Genetic Programming: Co-evolving the Operators of Variation
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ulgtsdl Using Localised 'Gossip' to Structure Distributed Learning
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edmonds:2005:esm Using Localised 'Gossip' to Structure Distributed Learning
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Edmondson:2010:IJCNDS Multi-agent distributed adaptive resource allocation (MADARA)
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Edvardsen:undergraduatethesis Classification of Images using Color, CBIR Distance Measures and Genetic Programming: An evolutionary Experiment
StianEdvardsen.html
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Effraimidis_Dimitros_thesis Computation Approaches for Continuous Reinforcement Learning Problems
DimitriosEffraimidis.html
http___westminsterresearch.wmin.ac.uk_19074_ http://westminsterresearch.wmin.ac.uk/19074/
http___westminsterresearch.wmin.ac.uk_19074_1_Effraimidis_Dimitros_20_thesis.pdf http://westminsterresearch.wmin.ac.uk/19074/1/Effraimidis_Dimitros%20_thesis.pdf
Eftekhar:2003:ICEECE Evolutionary Design of Digital Circuits Using Genetic Programming
SMAshikEftekhar.html
SkMahbubHabib.html
MMAHashem.html
http___arxiv.org_abs_1304.2467 http://arxiv.org/abs/1304.2467
eggermont:1999:affGPdm Adapting the Fitness Function in GP for Data Mining
JeroenEggermont.html
GuszEiben.html
JanoIvanHemert.html
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http___dx.doi.org_10.1007_3-540-48885-5_16 http://dx.doi.org/10.1007/3-540-48885-5_16
EEH99b A comparison of genetic programming variants for data classification
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JanoIvanHemert.html
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EEH99bnaic A comparison of genetic programming variants for data classification
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JanoIvanHemert.html
http___www.liacs.nl__jeggermo_publications_bnaic00.ps.gz http://www.liacs.nl/~jeggermo/publications/bnaic00.ps.gz
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eggermon:2000:bnaic Stepwise Adaptation of Weights for Symbolic Regression with Genetic Programming
JeroenEggermont.html
JanoIvanHemert.html
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http___citeseer.ist.psu.edu_374087.html http://citeseer.ist.psu.edu/374087.html
eggermont_adaptive:2001:EuroGP Adaptive Genetic Programming Applied to New and Existing Simple Regression Problems
JeroenEggermont.html
JanoIvanHemert.html
http___www.liacs.nl__jeggermo_publications_eurogp2001-symreg.ps.gz http://www.liacs.nl/~jeggermo/publications/eurogp2001-symreg.ps.gz
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http___www.vanhemert.co.uk_publications_eurogp2001.Adaptive_Genetic_Programming_Applied_to_New_and_Existing_Simple_Regression_Problems.pdf http://www.vanhemert.co.uk/publications/eurogp2001.Adaptive_Genetic_Programming_Applied_to_New_and_Existing_Simple_Regression_Problems.pdf
http___dx.doi.org_10.1007_3-540-45355-5_3 http://dx.doi.org/10.1007/3-540-45355-5_3
eggermont:2001:EuroGP_dead Raising the Dead: Extending Evolutionary Algorithms with a Case-based Memory
JeroenEggermont.html
TomLenaerts.html
SannaPoyhonen.html
AlexandreTermier.html
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http___dx.doi.org_10.1007_3-540-45355-5_22 http://dx.doi.org/10.1007/3-540-45355-5_22
eggermont:2002:EuroGP Evolving Fuzzy Decision Trees with Genetic Programming and Clustering
JeroenEggermont.html
http___www.liacs.nl__jeggermo_publications_eurogp2002.ps.gz http://www.liacs.nl/~jeggermo/publications/eurogp2002.ps.gz
http___dx.doi.org_10.1007_3-540-45984-7_7 http://dx.doi.org/10.1007/3-540-45984-7_7
E02b Evolving Fuzzy Decision Trees for Data Classification
JeroenEggermont.html
http___www.cs.kuleuven.ac.be_conference_bnaic02_ http://www.cs.kuleuven.ac.be/conference/bnaic02/
http___www.liacs.nl__jeggermo_publications_bnaic02-fuzzy.ps.gz http://www.liacs.nl/~jeggermo/publications/bnaic02-fuzzy.ps.gz
EL02 Dynamic Optimization using Evolutionary Algorithms with a Case-based Memory
JeroenEggermont.html
TomLenaerts.html
http___www.liacs.nl__jeggermo_publications_bnaic02-dynamic.ps.gz http://www.liacs.nl/~jeggermo/publications/bnaic02-dynamic.ps.gz
eggermont:2003:bnaic Genetic Programming for Data Classification: Refining the Search Space
JeroenEggermont.html
JoostKok.html
WalterAKosters.html
http___www.liacs.nl_home_kosters_bnaic03-eggermont.ps http://www.liacs.nl/home/kosters/bnaic03-eggermont.ps
eggermont:2004:sac Genetic Programming for Data Classification: Partitioning the Search Space
JeroenEggermont.html
JoostKok.html
WalterAKosters.html
http___www.liacs.nl__kosters_SAC2003final.pdf http://www.liacs.nl/~kosters/SAC2003final.pdf
http___dx.doi.org_10.1145_967900.968104 http://dx.doi.org/10.1145/967900.968104
Eggermont:PPSN:2004 Detecting and Pruning Introns for Faster Decision Tree Evolution
JeroenEggermont.html
JoostKok.html
WalterAKosters.html
http___www.liacs.nl__kosters_ppsn8_ppsn2004.pdf http://www.liacs.nl/~kosters/ppsn8/ppsn2004.pdf
https___rdcu.be_dc0jz https://rdcu.be/dc0jz
http___dx.doi.org_10.1007_b100601 http://dx.doi.org/10.1007/b100601
http___dx.doi.org_10.1007_978-3-540-30217-9_108 http://dx.doi.org/10.1007/978-3-540-30217-9_108
eggermont:thesis Data Mining using Genetic Programming: Classification and Symbolic Regression
JeroenEggermont.html
https___hdl.handle.net_1887_3393 https://hdl.handle.net/1887/3393
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.155.3989 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.155.3989
https___openaccess.leidenuniv.nl_dspace_bitstream_1887_3393_1_proefschriftppi-eggermont.pdf https://openaccess.leidenuniv.nl/dspace/bitstream/1887/3393/1/proefschriftppi-eggermont.pdf
Eggermont:2009:GPEM Juan Romero and Penousal Machado (eds): The Art of Artificial Evolution: A Handbook on Evolutionary Art and Music Natural Computing Series, Springer Science+Business Media, 2008, 460 pp, 169 illustrations, 91 in colour, Hard Cover with DVD, ISBN: 978-3-540-72876-4
JeroenEggermont.html
http___dx.doi.org_10.1007_s10710-008-9071-0 http://dx.doi.org/10.1007/s10710-008-9071-0
eglit:1994:tpfts Trend Prediction in Financial Time Series
JasonTEglit.html
eguchi:2002:gecco:lbp Multiagent Systems with Symbiotic Learning and Evolution Using Genetic Network Programming
ToruEguchi.html
KotaroHirasawa.html
JingluHu.html
JunichiMurata.html
Eguchi:2004:EGSCSUGNP Elevator Group Supervisory Control Systems Using Genetic Network Programming
ToruEguchi.html
KotaroHirasawa.html
JingluHu.html
SandorMarkon.html
http___dx.doi.org_10.1109_CEC.2004.1331095 http://dx.doi.org/10.1109/CEC.2004.1331095
eguchi:2005:CEC Elevator Group Supervisory Control System Using Genetic Network Programming with Functional Localization
ToruEguchi.html
KotaroHirasawa.html
JingluHu.html
SandorMarkon.html
http___dx.doi.org_10.1109_CEC.2005.1554702 http://dx.doi.org/10.1109/CEC.2005.1554702
DBLP:journals/tsmc/EguchiHHO06 A study of evolutionary multiagent models based on symbiosis
ToruEguchi.html
KotaroHirasawa.html
JingluHu.html
NathanOta.html
http___dx.doi.org_10.1109_TSMCB.2005.856720 http://dx.doi.org/10.1109/TSMCB.2005.856720
ehlis:2000:EITPDRUE Evolution of Intelligent Task Prioritization in a Dynamic Randomly Updated Environment
TobinEhlis.html
article1175 Application of Genetic Programming to the ``Snake Game''
TobinEhlis.html
http___www.gamedev.net_articles_programming_artificial-intelligence_application-of-genetic-programming-to-the-snake-r1175_ http://www.gamedev.net/articles/programming/artificial-intelligence/application-of-genetic-programming-to-the-snake-r1175/
Ehrenberg:2012:SN Software Scientist
RachelEhrenberg.html
http___www.sciencenews.org_view_feature_id_337207_title_Software_Scientist http://www.sciencenews.org/view/feature/id/337207/title/Software_Scientist
ehrenburg:1995:fls A Finite Automaton Learning System Using Genetic Programming
HermanEhrenburg.html
JeroenvanMaanen.html
ftp___ftp.cwi.nl_pub_CWIreports_AA_CS-R9458.ps.Z ftp://ftp.cwi.nl/pub/CWIreports/AA/CS-R9458.ps.Z
http___ftp.cwi.nl_CWIreports_AA_CS-R9458.pdf http://ftp.cwi.nl/CWIreports/AA/CS-R9458.pdf
http___www.neurocolt.org_abs_1995_.._.._tech_reps_1995_nc-tr-95-009.ps.gz http://www.neurocolt.org/abs/1995/../../tech_reps/1995/nc-tr-95-009.ps.gz
http___citeseer.ist.psu.edu_427245.html http://citeseer.ist.psu.edu/427245.html
ehrenburg:1996:iDAGcGP Improved Directed Acyclic Graph Evaluation and the Combine Operator in Genetic Programming
HermanEhrenburg.html
http___cognet.mit.edu_sites_default_files_books_9780262315876_pdfs_9780262315876_chap36.pdf http://cognet.mit.edu/sites/default/files/books/9780262315876/pdfs/9780262315876_chap36.pdf
http___cognet.mit.edu_library_books_view_isbn_0262611279 http://cognet.mit.edu/library/books/view?isbn=0262611279
Eetal96 Comparing Adaptive and Traditional Techniques for Direct Marketing
GuszEiben.html
TJEuverman.html
WKowalczyk.html
EPeelen.html
FSlisser.html
JAMWesseling.html
http___citeseer.ist.psu.edu_cache_papers_cs_802_http_zSzzSzwww.wi.leidenuniv.nlzSz_guszzSzeufit96.pdf_eiben96comparing.pdf http://citeseer.ist.psu.edu/cache/papers/cs/802/http:zSzzSzwww.wi.leidenuniv.nlzSz~guszzSzeufit96.pdf/eiben96comparing.pdf
http___citeseer.ist.psu.edu_eiben96comparing.html http://citeseer.ist.psu.edu/eiben96comparing.html
eiben:email:10-Nov-1997 GP in Leiden
GuszEiben.html
EEKS98 Modelling Customer Retention with Statistical Techniques, Rough Data Models and Genetic Programming
GuszEiben.html
TJEuverman.html
WKowalczyk.html
FSlisser.html
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eiben:1998:gmcr Genetic Modelling of Customer Retention
GuszEiben.html
AEKoudijs.html
FSlisser.html
http___dx.doi.org_10.1007_BFb0055937 http://dx.doi.org/10.1007/BFb0055937
Eiben:2002:IPL Evolutionary computing
GuszEiben.html
MarcSchoenauer.html
http___www.sciencedirect.com_science_article_B6V0F-44YWS0J-1_2_a93e1d8b3c96d1cb1a32da104588a569 http://www.sciencedirect.com/science/article/B6V0F-44YWS0J-1/2/a93e1d8b3c96d1cb1a32da104588a569
http___dx.doi.org_10.1016_S0020-0190_02_00204-1 http://dx.doi.org/10.1016/S0020-0190(02)00204-1
eiben:2003:book Introduction to Evolutionary Computing
GuszEiben.html
JamesSmith.html
http___www.cs.vu.nl__gusz_ecbook_ecbook.html http://www.cs.vu.nl/~gusz/ecbook/ecbook.html
http___dx.doi.org_10.1007_978-3-662-44874-8 http://dx.doi.org/10.1007/978-3-662-44874-8
1277023 Balancing quality and quantity in evolving agent systems
GuszEiben.html
JoeriBekker.html
RobertGriffioen.html
EvertHaasdijk.html
http___gpbib.cs.ucl.ac.uk_gecco2007_docs_p335.pdf http://gpbib.cs.ucl.ac.uk/gecco2007/docs/p335.pdf
http___dx.doi.org_10.1145_1276958.1277023 http://dx.doi.org/10.1145/1276958.1277023
Eiben:2015:nature From evolutionary computation to the evolution of things
GuszEiben.html
JamesSmith.html
http___dx.doi.org_10.1038_nature14544 http://dx.doi.org/10.1038/nature14544
Eiben:2020:GECCOcomp If It Evolves It Needs to Learn
GuszEiben.html
EmmaHart.html
https___doi.org_10.1145_3377929.3398151 https://doi.org/10.1145/3377929.3398151
http___dx.doi.org_10.1145_3377929.3398151 http://dx.doi.org/10.1145/3377929.3398151
conf/ruleml/EichhoffR15 Genetic Programming for Design Grammar Rule Induction
JulianREichhoff.html
DieterRoller.html
http___ceur-ws.org_Vol-1417 http://ceur-ws.org/Vol-1417
http___nbn-resolving.de_urn_nbn_de_0074-1417-1 http://nbn-resolving.de/urn:nbn:de:0074-1417-1
http___ceur-ws.org_Vol-1417_paper3.pdf http://ceur-ws.org/Vol-1417/paper3.pdf
Eid:2020:IRMA Application of Computational Intelligence in Network Intrusion Detection: A Review
HebaFEid.html
http___dx.doi.org_10.4018_978-1-7998-8048-6 http://dx.doi.org/10.4018/978-1-7998-8048-6
http___dx.doi.org_10.4018_978-1-7998-8048-6.ch032 http://dx.doi.org/10.4018/978-1-7998-8048-6.ch032
Einabadi:2022:ICWR A Search-Based Method For optimizing Software Architecture Reliability
MahsaEinabadi.html
SeyedMohammadHosseinHasheminejad.html
http___dx.doi.org_10.1109_ICWR54782.2022.9786245 http://dx.doi.org/10.1109/ICWR54782.2022.9786245
Eisenstein:1997:GAil Genetic Algorithms and Incremental Learning
JacobEisenstein.html
Eisenstein:2003-023 Evolving Robocode Tank Fighters
JacobEisenstein.html
ftp___publications.ai.mit.edu_ai-publications_2003_AIM-2003-023.pdf ftp://publications.ai.mit.edu/ai-publications/2003/AIM-2003-023.pdf
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ekart:1998:gcd4bl Generating Class Descriptions of Four Bar Linkages
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http___www.sztaki.hu__ekart_asi.ps http://www.sztaki.hu/~ekart/asi.ps
http___citeseer.ist.psu.edu_465578.html http://citeseer.ist.psu.edu/465578.html
ekart:1999:ccgGPm Controlling Code Growth in Genetic Programming by Mutation
AnikoEkart.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_eebic_eurogp99_eurogp99_lbp.html http://www.cs.ucl.ac.uk/staff/W.Langdon/eebic/eurogp99/eurogp99_lbp.html
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ekart:1999:ASI Decision Trees and Genetic Programming in Synthesis of Four Bar Mechanisms
AnikoEkart.html
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http___www.sztaki.hu__ekart_asi.ps http://www.sztaki.hu/~ekart/asi.ps
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ekart:1999:EA Shorter Fitness Preserving Genetic Programs
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http___dx.doi.org_10.1007_10721187_5 http://dx.doi.org/10.1007/10721187_5
ekart:2000:mGPfs A metric for genetic programs and fitness sharing
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http___www.sztaki.hu__ekart_new_metric.ps http://www.sztaki.hu/~ekart/new_metric.ps
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ekart:2001:genp Selection Based on the Pareto Nondomination Criterion for Controlling Code Growth in Genetic Programming
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SandorZoltanNemeth.html
http___dx.doi.org_10.1023_A_1010070616149 http://dx.doi.org/10.1023/A:1010070616149
ekart:2001:ESI Stability of Tree Based Decision Principles
AnikoEkart.html
SandorZoltanNemeth.html
ekart:thesis Genetic programming: new performance improving methods and applications
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http___www.sztaki.hu__ekart_th.html http://www.sztaki.hu/~ekart/th.html
http___www.aston.ac.uk_EasySiteWeb_GatewayLink.aspx_alId_138898.pdf http://www.aston.ac.uk/EasySiteWeb/GatewayLink.aspx?alId=138898.pdf
ekart:2002:EuroGP Maintaining the Diversity of Genetic Programs
AnikoEkart.html
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http___www.sztaki.hu__ekart_eurgp2.ps http://www.sztaki.hu/~ekart/eurgp2.ps
http___dx.doi.org_10.1007_3-540-45984-7_16 http://dx.doi.org/10.1007/3-540-45984-7_16
ekart:2002:EJOP Stability analysis of tree structured decision functions
AnikoEkart.html
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http___www.sciencedirect.com_science_article_B6VCT-4B6CR54-4_2_8de1437b694f9e2060da541ad1b175be http://www.sciencedirect.com/science/article/B6VCT-4B6CR54-4/2/8de1437b694f9e2060da541ad1b175be
http___dx.doi.org_10.1016_j.ejor.2003.10.007 http://dx.doi.org/10.1016/j.ejor.2003.10.007
ekart:2003:AIEDAM Using Genetic Programming and Decision Trees for Generating Structural Descriptions of Four Bar Mechanisms
AnikoEkart.html
AndrasMarkus.html
http___dx.doi.org_10.1017_S0890060403173039 http://dx.doi.org/10.1017/S0890060403173039
ekart:2004:eurogp A Data Structure for Improved GP Analysis via Efficient Computation and Visualisation of Population Measures
AnikoEkart.html
StevenMGustafson.html
http___www.sztaki.hu__ekart_eurgp4.ps http://www.sztaki.hu/~ekart/eurgp4.ps
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http___dx.doi.org_10.1007_978-3-540-24650-3_4 http://dx.doi.org/10.1007/978-3-540-24650-3_4
Ekart:2004:IWES Analysing the Emerging Properties of Genetic Programs through the iTrees of Populations
AnikoEkart.html
http___eprints.sztaki.hu_id_eprint_3622 http://eprints.sztaki.hu/id/eprint/3622
1274010 Evolution of lace knitting stitch patterns by genetic programming
AnikoEkart.html
http___gpbib.cs.ucl.ac.uk_gecco2007_docs_p2457.pdf http://gpbib.cs.ucl.ac.uk/gecco2007/docs/p2457.pdf
http___dx.doi.org_10.1145_1274000.1274010 http://dx.doi.org/10.1145/1274000.1274010
ekart:2008:AIIS Genetic Programming for the Design of Lace Knitting Stitch Patterns
AnikoEkart.html
http___link.springer.com_chapter_10.1007_978-1-84800-086-5_19 http://link.springer.com/chapter/10.1007/978-1-84800-086-5_19
http___dx.doi.org_10.1007_978-1-84800-086-5_19 http://dx.doi.org/10.1007/978-1-84800-086-5_19
Ekart:2014:GPEM Emergence in genetic programming
AnikoEkart.html
http___dx.doi.org_10.1007_s10710-013-9199-4 http://dx.doi.org/10.1007/s10710-013-9199-4
Ekart:2017:GPEM Genotype-phenotype mapping implications for genetic programming representation: Commentary on ``On the mapping of genotype to phenotype in evolutionary algorithms'' by Peter A. Whigham, Grant Dick, and James Maclaurin
AnikoEkart.html
PeterRLewis.html
http___dx.doi.org_10.1007_s10710-017-9291-2 http://dx.doi.org/10.1007/s10710-017-9291-2
Ekart:2017:GI Gaining Insights into Traffic Data through Genetic Improvement
AnikoEkart.html
AlinaPatelli.html
VictoriaLush.html
ElisabethIlie-Zudor.html
http___geneticimprovementofsoftware.com_wp-content_uploads_2017_05_ekart2017_road_data.pdf http://geneticimprovementofsoftware.com/wp-content/uploads/2017/05/ekart2017_road_data.pdf
https___publications.aston.ac.uk_id_eprint_31438_1_Road_traffic_data_through_genetic_improvement.pdf https://publications.aston.ac.uk/id/eprint/31438/1/Road_traffic_data_through_genetic_improvement.pdf
http___eprints.sztaki.hu_9290_ http://eprints.sztaki.hu/9290/
http___dx.doi.org_10.1145_3067695.3082523 http://dx.doi.org/10.1145/3067695.3082523
Ekart:2020:CEC Genetic Programming with Transfer Learning for Urban Traffic Modelling and Prediction
AnikoEkart.html
AlinaPatelli.html
VictoriaLush.html
ElisabethIlie-Zudor.html
https___eprints.sztaki.hu_10019_ https://eprints.sztaki.hu/10019/
http___dx.doi.org_10.1109_CEC48606.2020.9185880 http://dx.doi.org/10.1109/CEC48606.2020.9185880
Eklund:2001:AMPGA A Massively Parallel GP Architecture
SvenEEklund.html
Eklund:2001:MPA A Massively Parallel Architecture for Linear Machine Code Genetic Programming
SvenEEklund.html
http___dx.doi.org_10.1007_3-540-45443-8_19 http://dx.doi.org/10.1007/3-540-45443-8_19
eklund:2002:ampgeiv A Massively Parallel GP Engine in VLSI
SvenEEklund.html
http___dx.doi.org_10.1109_CEC.2002.1006999 http://dx.doi.org/10.1109/CEC.2002.1006999
eklund:2003:PDPS Time series forecasting using massively parallel genetic programming
SvenEEklund.html
http___dx.doi.org_10.1109_IPDPS.2003.1213272 http://dx.doi.org/10.1109/IPDPS.2003.1213272
http___dalea.du.se_research__itemId_147 http://dalea.du.se/research/?itemId=147
Eklund:2003:ICONS Handwritten Character Recognition using a massively parallel GP engine in VLSI
SvenEEklund.html
Eklund:2004:PC A massively parallel architecture for distributed genetic algorithms
SvenEEklund.html
http___www.sciencedirect.com_science_article_B6V12-4CDS49V-1_2_5ba1531eae2c9d8b336f1e90cc0ba5e9 http://www.sciencedirect.com/science/article/B6V12-4CDS49V-1/2/5ba1531eae2c9d8b336f1e90cc0ba5e9
http___dx.doi.org_10.1016_j.parco.2003.12.009 http://dx.doi.org/10.1016/j.parco.2003.12.009
ekman:2001:ehs Evolvable Hardware using State-machines
MagnusEkman.html
PeterNordin.html
ekmekcioglu:2023:IJEST Exploring the practical application of genetic programming for stormwater drain inlet hydraulic efficiency estimation
OEkmekcioglu.html
EEBasakin.html
MehmetOzger.html
http___link.springer.com_article_10.1007_s13762-022-04035-9 http://link.springer.com/article/10.1007/s13762-022-04035-9
http___dx.doi.org_10.1007_s13762-022-04035-9 http://dx.doi.org/10.1007/s13762-022-04035-9
El-Bachir-Menai:2015:IJMEI Random forests for automatic differential diagnosis of erythemato-squamous diseases
MohamedElBachirMenai.html
http___www.inderscience.com_link.php_id_68506 http://www.inderscience.com/link.php?id=68506
http___dx.doi.org_10.1504_IJMEI.2015.068506 http://dx.doi.org/10.1504/IJMEI.2015.068506
El-Bakry:2006:IJMPB Genetic Programming approach for electron-alkali-metal atom collisions
SalahYaseenEl-Bakry.html
AmrMohamedMahmoudKhairatRadi.html
http___www.genetic-programming.org_hc2007_09-Radi_Radi-Paper-A.pdf http://www.genetic-programming.org/hc2007/09-Radi/Radi-Paper-A.pdf
http___dx.doi.org_10.1142_S0217979206035825 http://dx.doi.org/10.1142/S0217979206035825
El-Bakry:2007:AR Genetic programming approach for flow of steady state fluid between two eccentric spheres
MostafaYEl-Bakry.html
AmrMohamedMahmoudKhairatRadi.html
http___www.genetic-programming.org_hc2007_09-Radi_Radi-Paper-C.pdf http://www.genetic-programming.org/hc2007/09-Radi/Radi-Paper-C.pdf
http___dx.doi.org_10.3933_ApplRheol-17-68210 http://dx.doi.org/10.3933/ApplRheol-17-68210
El-Bakry:2007:IJMPC Genetic Programming for Hadronic Interactions at High Energies
MostafaYEl-Bakry.html
AmrMohamedMahmoudKhairatRadi.html
http___dx.doi.org_10.1142_S0129183107010371 http://dx.doi.org/10.1142/S0129183107010371
El-Bakry:2007:IJMPC2 Discovered Function for Positron Collisions with Alkali-Metal Atoms using Genetic Programming
SalahYaseenEl-Bakry.html
AmrMohamedMahmoudKhairatRadi.html
http___dx.doi.org_10.1142_S0129183107009480 http://dx.doi.org/10.1142/S0129183107009480
El-Bakry:2012:IJSER Genetic Programming Model for Hadronic Collisions
MahmoudYEl-Bakry.html
MoaazAMoussa.html
AmrMohamedMahmoudKhairatRadi.html
EL-SayedAEl-Dahshan.html
MTantawy.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.302.5668 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.302.5668
http___www.ijser.org_researchpaper_Genetic-Programming-Model-for-Hadronic-Collisions.pdf http://www.ijser.org/researchpaper/Genetic-Programming-Model-for-Hadronic-Collisions.pdf
oai:CiteSeerX.psu:10.1.1.302.1666 A Genetic programming for modeling Hadronnucleus Interactions at 200 GeV/c
MahmoudYEl-Bakry.html
EL-SayedAEl-Dahshan.html
AmrMohamedMahmoudKhairatRadi.html
MTantawy.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.302.1666 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.302.1666
http___www.ijser.org_researchpaper_Genetic-programming-for-modeling-Hadron.pdf http://www.ijser.org/researchpaper/Genetic-programming-for-modeling-Hadron.pdf
El-Baroudy:2010:JH Comparison of three data-driven techniques in modelling the evapotranspiration process
IbrahimEl-Baroudy.html
AminElshorbagy.html
SeanKCarey.html
OrazioGiustolisi.html
DraganSavic.html
http___www.iwaponline.com_jh_012_0365_0120365.pdf http://www.iwaponline.com/jh/012/0365/0120365.pdf
http___dx.doi.org_10.2166_hydro.2010.029 http://dx.doi.org/10.2166/hydro.2010.029
El-boghdadly:2016:CEC Evolving local search heuristics for the integrated berth allocation and quay crane assignment problem
TamerEl-boghdadly.html
MohamedBahyBader-El-Den.html
DylanJones.html
http___dx.doi.org_10.1109_CEC.2016.7744153 http://dx.doi.org/10.1109/CEC.2016.7744153
ELBOSRATY:2020:ASEJ Estimation of the undrained shear strength of east Port-Said clay using the genetic programming
AhmedHEl-Bosraty.html
AhmedMEbid.html
AymanLFayed.html
http___dx.doi.org_10.1016_j.asej.2020.02.007 http://dx.doi.org/10.1016/j.asej.2020.02.007
http___www.sciencedirect.com_science_article_pii_S2090447920300393 http://www.sciencedirect.com/science/article/pii/S2090447920300393
el-dahshan:2011:CEJP Application of genetic programming for proton-proton interactions
EL-SayedAEl-Dahshan.html
http___link.springer.com_article_10.2478_s11534-010-0088-7 http://link.springer.com/article/10.2478/s11534-010-0088-7
http___dx.doi.org_10.2478_s11534-010-0088-7 http://dx.doi.org/10.2478/s11534-010-0088-7
elgerari:tel-00918968 Some contributions to improve Genetic Programming
OussamaElGerari.html
https___tel.archives-ouvertes.fr_tel-00918968_file_ELGERARI.pdf https://tel.archives-ouvertes.fr/tel-00918968/file/ELGERARI.pdf
https___tel.archives-ouvertes.fr_tel-00918968 https://tel.archives-ouvertes.fr/tel-00918968
El-Henawy:2018:IJCA Meta-Heuristics Algorithms: A Survey
IbrahimEl-Henawy.html
NaghamAhmedAbdelmegeed.html
https___www.ijcaonline.org_archives_volume179_number22_29004-29004-2018916427 https://www.ijcaonline.org/archives/volume179/number22/29004-29004-2018916427
https___www.ijcaonline.org_archives_volume179_number22_elhenawy-2018-ijca-916427.pdf https://www.ijcaonline.org/archives/volume179/number22/elhenawy-2018-ijca-916427.pdf
http___www.ijcaonline.org_archives_volume179_number22_29004-2018916427 http://www.ijcaonline.org/archives/volume179/number22/29004-2018916427
http___dx.doi.org_10.5120_ijca2018916427 http://dx.doi.org/10.5120/ijca2018916427
Elhussein:thesis Classification of Diabetic Patients using Computational Intelligent Techniques
AhlamAliSharifElhussein.html
http___repository.sustech.edu_handle_123456789_20889 http://repository.sustech.edu/handle/123456789/20889
http___repository.sustech.edu_bitstream_handle_123456789_20889_Classi_ef_ac_81cation_20of_20Diabetic......pdf http://repository.sustech.edu/bitstream/handle/123456789/20889/Classi%ef%ac%81cation%20of%20Diabetic......pdf
oai:doaj.org/article:632ee97557c249c390830bfc410eff0d Modeling hadronic collisions using genetic programming approach
EsraaEl-Khateeb.html
AmrMohamedMahmoudKhairatRadi.html
SalahYaseenEl-Bakry.html
MahmoudYEl-Bakry.html
http___dx.doi.org_10.12988_astp.2014.311129 http://dx.doi.org/10.12988/astp.2014.311129
http___www.m-hikari.com_astp_astp2014_astp1-4-2014_elkhateebASTP1-4-2014.pdf http://www.m-hikari.com/astp/astp2014/astp1-4-2014/elkhateebASTP1-4-2014.pdf
http___dx.doi.org_10.12988_astp.2014.311129 http://dx.doi.org/10.12988/astp.2014.311129
ELMAHALAWY2021167793 Classical and quantum regression analysis for the optoelectronic performance of NTCDA/p-Si UV photodiode
AhmedMEl-Mahalawy.html
KareemHEl-Safty.html
https___www.sciencedirect.com_science_article_pii_S0030402621013826 https://www.sciencedirect.com/science/article/pii/S0030402621013826
http___dx.doi.org_10.1016_j.ijleo.2021.167793 http://dx.doi.org/10.1016/j.ijleo.2021.167793
conf/crv/El-SawahJGP07 A Framework for 3D Hand Tracking and Gesture Recognition using Elements of Genetic Programming
AymanEl-Sawah.html
ChrisJoslin.html
NicolasDGeorganas.html
EmilMPetriu.html
http___dx.doi.org_10.1109_CRV.2007.3 http://dx.doi.org/10.1109/CRV.2007.3
El-Sawah:thesis Towards context-aware gesture enabled user interfaces
AymanEl-Sawah.html
http___hdl.handle.net_10393_29520 http://hdl.handle.net/10393/29520
http___dx.doi.org_10.20381_ruor-12996 http://dx.doi.org/10.20381/ruor-12996
https___ruor.uottawa.ca_bitstream_10393_29520_1_NR41631.PDF https://ruor.uottawa.ca/bitstream/10393/29520/1/NR41631.PDF
el-zoghabi:2019:ICAISI An Improved Cache Invalidation Policy in Wireless Environment Cooperate with Cache Replacement Policy Based on Genetic Programming
AdelEl-Zoghabi.html
AmroGElshenawy.html
http___link.springer.com_chapter_10.1007_978-3-319-99010-1_54 http://link.springer.com/chapter/10.1007/978-3-319-99010-1_54
http___dx.doi.org_10.1007_978-3-319-99010-1_54 http://dx.doi.org/10.1007/978-3-319-99010-1_54
Eldrandaly:2008:IAJIT Performance Evaluation of Gene Expression Programming for Hydraulic Data Mining
KhalidAlyEldrandaly.html
Abdel-AzimNegm.html
http___www.ccis2k.org_iajit_PDF_vol.5_no.2_4-103.pdf http://www.ccis2k.org/iajit/PDF/vol.5,no.2/4-103.pdf
Eldrandaly:2009:AJAS Integrating Gene Expression Programming and Geographic Information Systems for Solving a Multi Site Land Use Allocation Problem
KhalidAlyEldrandaly.html
http___www.scipub.org_fulltext_ajas_ajas651021-1027.pdf http://www.scipub.org/fulltext/ajas/ajas651021-1027.pdf
http___thescipub.com_html_10.3844_ajassp.2009.1021.1027 http://thescipub.com/html/10.3844/ajassp.2009.1021.1027
http___dx.doi.org_10.3844_ajassp.2009.1021.1027 http://dx.doi.org/10.3844/ajassp.2009.1021.1027
Eldrandaly2009 A GEP-based spatial decision support system for multisite land use allocation
KhalidAlyEldrandaly.html
http___dx.doi.org_10.1016_j.asoc.2009.07.014 http://dx.doi.org/10.1016/j.asoc.2009.07.014
http___www.sciencedirect.com_science_article_B6W86-4X2DCVV-2_2_c8addfbfae7f3e5035dc45213f378416 http://www.sciencedirect.com/science/article/B6W86-4X2DCVV-2/2/c8addfbfae7f3e5035dc45213f378416
DBLP:journals/corr/abs-2204-00735 Genetic programming-based learning of carbon interatomic potential for materials discovery
AndrewEldridge.html
AlejandroRodriguez.html
MingHu.html
JianjunHu.html
https___doi.org_10.48550_arXiv.2204.00735 https://doi.org/10.48550/arXiv.2204.00735
http___dx.doi.org_10.48550_arXiv.2204.00735 http://dx.doi.org/10.48550/arXiv.2204.00735
https___dblp.org_rec_journals_corr_abs-2204-00735.bib https://dblp.org/rec/journals/corr/abs-2204-00735.bib
Elfwing:thesis Embodied Evolution of Learning Ability
StefanElfwing.html
http___www.irp.oist.jp_nc_elfwing_Elfwing_thesis_final_electronic.pdf http://www.irp.oist.jp/nc/elfwing/Elfwing_thesis_final_electronic.pdf
Elfwing:2007:tec Evolutionary Development of Hierarchical Learning Structures
StefanElfwing.html
EijiUchibe.html
KenjiDoya.html
HenrikIChristensen.html
http___dx.doi.org_10.1109_TEVC.2006.890270 http://dx.doi.org/10.1109/TEVC.2006.890270
ELGAMEL:2023:engstruct Backbone model for reinforced concrete block shear wall components and systems using controlled multigene genetic programming
HanaElgamel.html
MohamedKIsmail.html
AhmedAshour.html
WaelEl-Dakhakhni.html
http___dx.doi.org_10.1016_j.engstruct.2022.115173 http://dx.doi.org/10.1016/j.engstruct.2022.115173
https___www.sciencedirect.com_science_article_pii_S0141029622012494 https://www.sciencedirect.com/science/article/pii/S0141029622012494
conf/fira/HakimRHPR13 Grammatical Evolution Algorithm for Position Prediction of the Ball in Robot-Soccer Goal Keeper Optimization
AuliaElHakim.html
DadanNurRamadan.html
IndraHidayatulloh.html
ArySetijadiPrihatmanto.html
EstikoRijanto.html
http___dx.doi.org_10.1007_978-3-642-40409-2_13 http://dx.doi.org/10.1007/978-3-642-40409-2_13
http___dx.doi.org_10.1007_978-3-642-40409-2_13 http://dx.doi.org/10.1007/978-3-642-40409-2_13
Elhenawy:2014:TRPCET Dynamic travel time prediction using data clustering and genetic programming
MohammedElhenawy.html
HaoChen2.html
HeshamARakha.html
http___dx.doi.org_10.1016_j.trc.2014.02.016 http://dx.doi.org/10.1016/j.trc.2014.02.016
http___www.sciencedirect.com_science_article_pii_S0968090X14000588 http://www.sciencedirect.com/science/article/pii/S0968090X14000588
Elkaffas:2008:waset Applications of Genetic Programming in Data Mining
SalehMesbahElkaffas.html
AhmedAToony.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.306.4138 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.306.4138
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.306.4138.pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.306.4138.pdf
conf/icores/ElkasabySE17 Multiobjective Optimization using Genetic Programming: Reducing Selection Pressure by Approximate Dominance
AymanElkasaby.html
AkramSalah.html
EhabElfeky.html
http___dx.doi.org_10.5220_0006219504240429 http://dx.doi.org/10.5220/0006219504240429
elkasaby:2018:ORES Approximate Dominance for Many-Objective Genetic Programming
AymanElkasaby.html
AkramSalah.html
EhabElfeky.html
http___link.springer.com_chapter_10.1007_978-3-319-94767-9_9 http://link.springer.com/chapter/10.1007/978-3-319-94767-9_9
http___dx.doi.org_10.1007_978-3-319-94767-9_9 http://dx.doi.org/10.1007/978-3-319-94767-9_9
ELLIOTT:2018:EE Stormwater infiltration capacity of street tree pits: Quantifying the influence of different design and management strategies in New York City
RobertMElliott.html
ElizabethRAdkins.html
PatriciaJCulligan.html
MatthewIPalmer.html
http___dx.doi.org_10.1016_j.ecoleng.2017.12.003 http://dx.doi.org/10.1016/j.ecoleng.2017.12.003
http___www.sciencedirect.com_science_article_pii_S0925857417306365 http://www.sciencedirect.com/science/article/pii/S0925857417306365
ellis:2002:AEM Rapid and Quantitative Detection of the Microbial Spoilage of Meat by Fourier Transform Infrared Spectroscopy and Machine Learning
DavidIEllis.html
DavidIBroadhurst.html
DouglasBKell.html
JemJRowland.html
RoystonGoodacre.html
http___dbkgroup.org_Papers_app__20env_microbiol_68__2822_.pdf http://dbkgroup.org/Papers/app_%20env_microbiol_68_(2822).pdf
http___dx.doi.org_10.1128_AEM.68.6.2822-2828.2002 http://dx.doi.org/10.1128/AEM.68.6.2822-2828.2002
Ellis:2004:ACA Rapid and quantitative detection of the microbial spoilage of beef by Fourier transform infrared spectroscopy and machine learning
DavidIEllis.html
DavidIBroadhurst.html
RoystonGoodacre.html
http___dbkgroup.org_dave_files_ACAbeef04.pdf http://dbkgroup.org/dave_files/ACAbeef04.pdf
http___dx.doi.org_10.1016_j.aca.2004.03.060 http://dx.doi.org/10.1016/j.aca.2004.03.060
Elnabarawy:2017:GECCO Evolutionary Computation for the Automated Design of Category Functions for Fuzzy ART: An Initial Exploration
IslamElnabarawy.html
DanielRTauritz.html
DonaldCWunschII.html
http___doi.acm.org_10.1145_3067695.3082056 http://doi.acm.org/10.1145/3067695.3082056
http___dx.doi.org_10.1145_3067695.3082056 http://dx.doi.org/10.1145/3067695.3082056
Elola:2017:ASC Hybridizing Cartesian Genetic Programming and Harmony Search for adaptive feature construction in supervised learning problems
AndoniElola.html
JavierDelSer.html
MirenNekaneBilbao.html
CristinaPerfecto.html
EnriqueAlexandre.html
SanchoSalcedo-Sanz.html
http___dx.doi.org_10.1016_j.asoc.2016.09.049 http://dx.doi.org/10.1016/j.asoc.2016.09.049
http___www.sciencedirect.com_science_article_pii_S1568494616305087 http://www.sciencedirect.com/science/article/pii/S1568494616305087
Elsayed:2015:CEC Evaluating the performance of a differential evolution algorithm in anomaly detection
SaberElsayed.html
RuhulSarker.html
JillSlay.html
http___dx.doi.org_10.1109_CEC.2015.7257194 http://dx.doi.org/10.1109/CEC.2015.7257194
Elsey:1996:Chemeca Dynamic Modelling of a Cooking Extruder
JustinElsey.html
JorgRiepenhausen.html
BenMcKay.html
GeoffreyWBarton.html
http___search.informit.com.au_documentSummary_dn_893841670974616_res_IELENG http://search.informit.com.au/documentSummary;dn=893841670974616;res=IELENG
Elsey:thesis Dynamic Modelling, Measurement and Control of Co-rotating Twin-Screw Extruders
JustinElsey.html
http___ses.library.usyd.edu.au_bitstream_2123_687_2_adt-NU20050131.14060102whole.pdf http://ses.library.usyd.edu.au/bitstream/2123/687/2/adt-NU20050131.14060102whole.pdf
http___hdl.handle.net_2123_687 http://hdl.handle.net/2123/687
ElShawi:2022:ICDMW TPE-AutoClust: A Tree-based Pipline Ensemble Framework for Automated Clustering
RadwaElShawi.html
SherifSakr.html
http___dx.doi.org_10.1109_ICDMW58026.2022.00149 http://dx.doi.org/10.1109/ICDMW58026.2022.00149
Elshorbagy:2009:JH Investigating the capabilities of evolutionary data-driven techniques using the challenging estimation of soil moisture content
AminElshorbagy.html
IbrahimEl-Baroudy.html
http___www.iwaponline.com_jh_011_0237_0110237.pdf http://www.iwaponline.com/jh/011/0237/0110237.pdf
http___dx.doi.org_10.2166_hydro.2009.032 http://dx.doi.org/10.2166/hydro.2009.032
Elshorbagy:2010:HESS Experimental investigation of the predictive capabilities of data driven modeling techniques in hydrology - Part 1: Concepts and methodology
AminElshorbagy.html
GeraldCorzoPerez.html
SanagaSrinivasulu.html
DimitriPSolomatine.html
http___www.hydrol-earth-syst-sci.net_14_1931_2010_hess-14-1931-2010.pdf http://www.hydrol-earth-syst-sci.net/14/1931/2010/hess-14-1931-2010.pdf
http___www.hydrol-earth-syst-sci.net_14_1931_2010_ http://www.hydrol-earth-syst-sci.net/14/1931/2010/
http___dx.doi.org_10.5194_hess-14-1931-2010 http://dx.doi.org/10.5194/hess-14-1931-2010
Elshorbagy:2010a:HESS Experimental investigation of the predictive capabilities of data driven modeling techniques in hydrology - Part 2: Application
AminElshorbagy.html
GeraldCorzoPerez.html
SanagaSrinivasulu.html
DimitriPSolomatine.html
http___www.hydrol-earth-syst-sci.net_14_1943_2010_hess-14-1943-2010.pdf http://www.hydrol-earth-syst-sci.net/14/1943/2010/hess-14-1943-2010.pdf
El-Telbany:2004:ICEEC The Egyptian Stock Market Return Prediction: A Genetic Programming Approach
MohammedEEl-Telbany.html
http___dx.doi.org_10.1109_ICEEC.2004.1374410 http://dx.doi.org/10.1109/ICEEC.2004.1374410
Elver:2016:ieeeHPCA McVerSi: A Test Generation Framework for Fast Memory Consistency Verification in Simulation
MarcoElver.html
VijayNagarajan.html
http___hpca22.site.ac.upc.edu_index.php_program_conference-program_ http://hpca22.site.ac.upc.edu/index.php/program/conference-program/
http___dx.doi.org_10.1109_HPCA.2016.7446099 http://dx.doi.org/10.1109/HPCA.2016.7446099
Elver2016 Memory Consistency Directed Cache Coherence Protocols for Scalable Multiprocessors
MarcoElver.html
https___ac.marcoelver.com_res_melver-thesis.pdf https://ac.marcoelver.com/res/melver-thesis.pdf
https___www.era.lib.ed.ac.uk_handle_1842_22073 https://www.era.lib.ed.ac.uk/handle/1842/22073
https___www.era.lib.ed.ac.uk_bitstream_handle_1842_22073_Elver2016.pdf https://www.era.lib.ed.ac.uk/bitstream/handle/1842/22073/Elver2016.pdf
http___ethos.bl.uk_OrderDetails.do_uin_uk.bl.ethos.716641 http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.716641
ElYafrani:GPEM:TTP A hyperheuristic approach based on low-level heuristics for the travelling thief problem
MohamedElYafrani.html
MarcellaScoczynskiRibeiroMartins.html
MarkusWagner.html
BelaidAhiod.html
MyriamRegattieriDeBiasedaSilvaDelgado.html
RicardoLuders.html
http___dx.doi.org_10.1007_s10710-017-9308-x http://dx.doi.org/10.1007/s10710-017-9308-x
ElYafrani:2021:evocop MATE: A Model-based Algorithm Tuning Engine
MohamedElYafrani.html
MarcellaScoczynskiRibeiroMartins.html
InkyungSung.html
MarkusWagner.html
CarolaDoerr.html
PeterNielsen.html
https___arxiv.org_abs_2004.12750 https://arxiv.org/abs/2004.12750
https___hal.sorbonne-universite.fr_hal-03233689 https://hal.sorbonne-universite.fr/hal-03233689
https___hal.sorbonne-universite.fr_hal-03233689_document https://hal.sorbonne-universite.fr/hal-03233689/document
https___hal.sorbonne-universite.fr_hal-03233689_file_MATE https://hal.sorbonne-universite.fr/hal-03233689/file/MATE
http___dx.doi.org_10.1007_978-3-030-72904-2_4 http://dx.doi.org/10.1007/978-3-030-72904-2_4
Elyasaf2011 Evolving Solvers for FreeCell and the Sliding-Tile Puzzle
AchiyaElyasaf.html
YaelZaritsky.html
AmiHauptman.html
MosheSipper.html
http___www.aaai.org_ocs_index.php_SOCS_SOCS11_paper_view_4018 http://www.aaai.org/ocs/index.php/SOCS/SOCS11/paper/view/4018
http___www.aaai.org_ocs_index.php_SOCS_SOCS11_paper_view_4018.pdf http://www.aaai.org/ocs/index.php/SOCS/SOCS11/paper/view/4018.pdf
Elyasaf:2012:ieeeTCIAIG Evolutionary Design of FreeCell Solvers
AchiyaElyasaf.html
AmiHauptman.html
MosheSipper.html
http___dx.doi.org_10.1109_TCIAIG.2012.2210423 http://dx.doi.org/10.1109/TCIAIG.2012.2210423
http___ieeexplore.ieee.org_xpls_abs_all.jsp_arnumber_6249736 http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6249736
Elyasaf:2013:GECCOcompa A heuristiclab evolutionary algorithm for FINCH
AchiyaElyasaf.html
MichaelOrlov.html
MosheSipper.html
http___dx.doi.org_10.1145_2464576.2480786 http://dx.doi.org/10.1145/2464576.2480786
Elyasaf:2014:GPEM Software review: the HeuristicLab framework
AchiyaElyasaf.html
MosheSipper.html
http___link.springer.com_article_10.1007_s10710-014-9214-4 http://link.springer.com/article/10.1007/s10710-014-9214-4
http___dx.doi.org_10.1007_s10710-014-9214-4 http://dx.doi.org/10.1007/s10710-014-9214-4
ElyasafDissertation Evolving Hyper-Heuristics using Genetic Programming
AchiyaElyasaf.html
http___achiya.elyasaf.net_wp-content_uploads_2015_07_Achiya-Elyasaf-Ph.D.-Thesis.pdf http://achiya.elyasaf.net/wp-content/uploads/2015/07/Achiya-Elyasaf-Ph.D.-Thesis.pdf
Elyasaf:2015:GPTP Casting the Problem of Mining RNA Sequence-Structure Motifs as One of Search and Learning Hyper-Heuristics for it
AchiyaElyasaf.html
PavelVaks.html
NimrodMilo.html
MosheSipper.html
MichalZiv-Ukelson.html
http___www.springer.com_us_book_9783319342214 http://www.springer.com/us/book/9783319342214
http___dx.doi.org_10.1007_978-3-319-34223-8_2 http://dx.doi.org/10.1007/978-3-319-34223-8_2
EMAMIAN:2020:CBM Genetic programming based formulation for compressive and flexural strength of cement mortar containing nano and micro silica after freeze and thaw cycles
SeyedAliEmamian.html
HamidEskandari-Naddaf.html
http___dx.doi.org_10.1016_j.conbuildmat.2020.118027 http://dx.doi.org/10.1016/j.conbuildmat.2020.118027
http___www.sciencedirect.com_science_article_pii_S0950061820300325 http://www.sciencedirect.com/science/article/pii/S0950061820300325
EMEKSIZ:2022:compeleceng Multi-gen genetic programming based improved innovative model for extrapolation of wind data at high altitudes, case study: Turkey
CemEmeksiz.html
http___dx.doi.org_10.1016_j.compeleceng.2022.107966 http://dx.doi.org/10.1016/j.compeleceng.2022.107966
https___www.sciencedirect.com_science_article_pii_S0045790622002427 https://www.sciencedirect.com/science/article/pii/S0045790622002427
Emer.1997.ISCA A Language For Describing Predictors And Its Application To Automatic Synthesis
JoelEmer.html
NikolasGloy.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.598.7312 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.598.7312
http___dx.doi.org_10.1145_384286.264212 http://dx.doi.org/10.1145/384286.264212
figueiredopereiraemer:2002:gecco GPTesT: A Testing Tool Based On Genetic Programming
MariaClaudiaFigueiredoPereiraEmer.html
SilviaReginaVergilio.html
http___gpbib.cs.ucl.ac.uk_gecco2002_sbse017.ps http://gpbib.cs.ucl.ac.uk/gecco2002/sbse017.ps
http___gpbib.cs.ucl.ac.uk_gecco2002_sbse017.pdf http://gpbib.cs.ucl.ac.uk/gecco2002/sbse017.pdf
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_gecco2002_gecco-2002-25.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/gecco2002/gecco-2002-25.pdf
sbes2002meta006 Selection and evaluation of test data sets based on genetic programming
MariaClaudiaFigueiredoPereiraEmer.html
SilviaReginaVergilio.html
http___www.lbd.dcc.ufmg.br_8080_colecoes_sbes_2002_004.pdf http://www.lbd.dcc.ufmg.br:8080/colecoes/sbes/2002/004.pdf
emer:2003:SQJ Selection and Evaluation of Test Data Based on Genetic Programming
MariaClaudiaFigueiredoPereiraEmer.html
SilviaReginaVergilio.html
http___dx.doi.org_10.1023_A_1023772729494 http://dx.doi.org/10.1023/A:1023772729494
Endo:alife22 Toward automatic generation of diverse congestion control algorithms through co-evolution with simulation environments
TerutoEndo.html
HirotakeAbe.html
MizukiOka.html
https___direct.mit.edu_isal_proceedings-pdf_isal_34_33_2035325_isal_a_00515.pdf https://direct.mit.edu/isal/proceedings-pdf/isal/34/33/2035325/isal_a_00515.pdf
http___dx.doi.org_10.1162_isal_a_00515 http://dx.doi.org/10.1162/isal_a_00515
engel:1995:EESEAT Evolving Effective Solutions in Effective Amounts of Time
DavidEngel.html
Engelbrecht:2002:DMaHA A Building Block Approach to Genetic Programming for Rule Discovery
AndriesPEngelbrecht.html
LonaSchoeman.html
SonjaERouwhorst.html
http___www.igi-global.com_chapter_building-block-approach-genetic-programming_7589 http://www.igi-global.com/chapter/building-block-approach-genetic-programming/7589
http___dx.doi.org_10.4018_978-1-930708-25-9.ch009 http://dx.doi.org/10.4018/978-1-930708-25-9.ch009
engelhardt:1998:LBNDSUGP Learning a Bayesian Network from Data Samples Using Genetic Programming
BarbaraEngelhardt.html
Engler:2009:ieeeAUTOTESTCON Optimization of test engineering utilizing evolutionary computation
JosephEngler.html
http___dx.doi.org_10.1109_AUTEST.2009.5314025 http://dx.doi.org/10.1109/AUTEST.2009.5314025
English:2012:GECCOcomp Grammatical evolution decision trees for trio designs
AmandaEnglish.html
HollyElizabethPetruso.html
ChongWang.html
http___dx.doi.org_10.1145_2330784.2330873 http://dx.doi.org/10.1145/2330784.2330873
Engoren:2008:GPEM Use of genetic programming to diagnose venous thromboembolism in the emergency department
MiloEngoren.html
JeffreyAKline.html
http___dx.doi.org_10.1007_s10710-007-9050-x http://dx.doi.org/10.1007/s10710-007-9050-x
engoren:2013:JCMC Use of genetic programming, logistic regression, and artificial neural nets to predict readmission after coronary artery bypass surgery
MiloEngoren.html
RobertHHabib.html
JohnJDooner.html
ThomasASchwann.html
http___link.springer.com_article_10.1007_s10877-013-9444-7 http://link.springer.com/article/10.1007/s10877-013-9444-7
http___dx.doi.org_10.1007_s10877-013-9444-7 http://dx.doi.org/10.1007/s10877-013-9444-7
EnriquezZarate:2017:ASC Automatic modeling of a gas turbine using genetic programming: An experimental study
JosueEnriquez-Zarate.html
LeonardoTrujillo.html
SalvadordeLara.html
MauroCastelli.html
EmigdioZ-Flores.html
LuisMunozDelgado.html
AlesPopovic.html
http___dx.doi.org_10.1016_j.asoc.2016.11.019 http://dx.doi.org/10.1016/j.asoc.2016.11.019
http___www.sciencedirect.com_science_article_pii_S1568494616305889 http://www.sciencedirect.com/science/article/pii/S1568494616305889
Eppstein:gecco06lbp Hill-climbing through "random chemistry" for detecting epistasis
MargaretJEppstein.html
JoshuaLPayne.html
BillCWhite.html
JasonHMoore.html
http___gpbib.cs.ucl.ac.uk_gecco2006etc_papers_lbp111.pdf http://gpbib.cs.ucl.ac.uk/gecco2006etc/papers/lbp111.pdf
Eray:2018:HR Comparison of multi-gene genetic programming and dynamic evolving neural-fuzzy inference system in modeling pan evaporation
OkanEray.html
CihanMert.html
OzgurKisi.html
https___iwaponline.com_hr_article_49_4_1221_38834_Comparison-of-multi-gene-genetic-programming-and https://iwaponline.com/hr/article/49/4/1221/38834/Comparison-of-multi-gene-genetic-programming-and
http___dx.doi.org_10.2166_nh.2017.076 http://dx.doi.org/10.2166/nh.2017.076
erba:2001:EuroGP An Evolutionary Approach to Automatic Generation of VHDL Code for Low-Power Digital Filters
MassimilianoErba.html
RobertoRossi.html
ValentinoLiberali.html
AndreaGBTettamanzi.html
http___dx.doi.org_10.1007_3-540-45355-5_4 http://dx.doi.org/10.1007/3-540-45355-5_4
Erdagi:2023:MT-ITS Cycle-by-cycle Delay Estimation at Signalized Intersections by using Machine Learning and Simulated Video Detection Data
IsmetGoksadErdagi.html
NemanjaDobrota.html
SlavicaGavric.html
AleksandarStevanovic.html
http___dx.doi.org_10.1109_MT-ITS56129.2023.10241732 http://dx.doi.org/10.1109/MT-ITS56129.2023.10241732
Erdem:2019:ICCSE Diabetes Mellitus Prediction Using Multi-objective Genetic Programming and Majority Voting
MehmetBilgehanErdem.html
ZekiyeErdem.html
ShahryarRahnamayan.html
http___dx.doi.org_10.1109_ICCSE.2019.8845515 http://dx.doi.org/10.1109/ICCSE.2019.8845515
Eriksson:2004:BS Adapting genetic regulatory models by genetic programming
RogerEriksson.html
BjornOlsson.html
http___www.sciencedirect.com_science_article_B6T2K-4D09KY2-7_2_1abfe196bb4afc60afc3311cadb75d66 http://www.sciencedirect.com/science/article/B6T2K-4D09KY2-7/2/1abfe196bb4afc60afc3311cadb75d66
http___dx.doi.org_10.1016_j.biosystems.2004.05.014 http://dx.doi.org/10.1016/j.biosystems.2004.05.014
conf/ibpria/EscalanteMGM13 Genetic Programming of Prototypes for Pattern Classification
HugoJairEscalante.html
KarloMarioMendozaMendoza.html
MarioGraffGuerrero.html
AliciaMorales-Reyes.html
http___dx.doi.org_10.1007_978-3-642-38628-2 http://dx.doi.org/10.1007/978-3-642-38628-2
http___dx.doi.org_10.1007_978-3-642-38628-2_11 http://dx.doi.org/10.1007/978-3-642-38628-2_11
conf/ciarp/EscalanteAMA13 Genetic Programming of Heterogeneous Ensembles for Classification
HugoJairEscalante.html
NiusvelAcosta-Mendoza.html
AliciaMorales-Reyes.html
AndresGagoAlonso.html
http___dx.doi.org_10.1007_978-3-642-41822-8 http://dx.doi.org/10.1007/978-3-642-41822-8
Escalante:2015:KBS Term-weighting learning via genetic programming for text classification
HugoJairEscalante.html
MauricioGarcia-Limon.html
AliciaMorales-Reyes.html
MarioGraffGuerrero.html
ManuelMontes-y-Gomez.html
EduardoFMorales.html
JoseMartinez-Carranza.html
http___dx.doi.org_10.1016_j.knosys.2015.03.025 http://dx.doi.org/10.1016/j.knosys.2015.03.025
http___dx.doi.org_10.1016_j.knosys.2015.03.025 http://dx.doi.org/10.1016/j.knosys.2015.03.025
http___www.sciencedirect.com_science_article_pii_S0950705115001197 http://www.sciencedirect.com/science/article/pii/S0950705115001197
Escalante:2015:IJCNN Improving bag of visual words representations with genetic programming
HugoJairEscalante.html
JoseMartinez-Carraza.html
SergioEscalera.html
VictorPonce-Lopez.html
XavierBaro.html
http___dx.doi.org_10.1109_IJCNN.2015.7280799 http://dx.doi.org/10.1109/IJCNN.2015.7280799
Escalante:2016:ASC PGGP: Prototype Generation via Genetic Programming
HugoJairEscalante.html
MarioGraffGuerrero.html
AliciaMorales-Reyes.html
http___dx.doi.org_10.1016_j.asoc.2015.12.015 http://dx.doi.org/10.1016/j.asoc.2015.12.015
http___www.sciencedirect.com_science_article_pii_S1568494615007942 http://www.sciencedirect.com/science/article/pii/S1568494615007942
Escazut:1997:ccscts Coevolving Classifier Systems to Control Traffic Signals
CathyEscazut.html
TerenceCFogarty.html
escobar:2019:EMO Process-Monitoring-for-Quality--A Model Selection Criterion for Genetic Programming
CarlosAEscobar.html
DianaMWegner.html
AbhinavGaur.html
RubenMorales-Menendez.html
http___link.springer.com_chapter_10.1007_978-3-030-12598-1_13 http://link.springer.com/chapter/10.1007/978-3-030-12598-1_13
http___dx.doi.org_10.1007_978-3-030-12598-1_13 http://dx.doi.org/10.1007/978-3-030-12598-1_13
DBLP:conf/dexa/EscottMC20 Genetic Programming Based Hyper Heuristic Approach for Dynamic Workflow Scheduling in the Cloud
Kirita-RoseEscott.html
HuiMa.html
AaronChen.html
https___doi.org_10.1007_978-3-030-59051-2_6 https://doi.org/10.1007/978-3-030-59051-2_6
http___dx.doi.org_10.1007_978-3-030-59051-2_6 http://dx.doi.org/10.1007/978-3-030-59051-2_6
https___dblp.org_rec_conf_dexa_EscottMC20.bib https://dblp.org/rec/conf/dexa/EscottMC20.bib
Escott:2020:SSCI A Genetic Programming Hyper-Heuristic Approach to Design High-Level Heuristics for Dynamic Workflow Scheduling in Cloud
Kirita-RoseEscott.html
HuiMa.html
AaronChen.html
http___dx.doi.org_10.1109_SSCI47803.2020.9308261 http://dx.doi.org/10.1109/SSCI47803.2020.9308261
DBLP:conf/evoW/EscottMC23 Cooperative Coevolutionary Genetic Programming Hyper-Heuristic for Budget Constrained Dynamic Multi-workflow Scheduling in Cloud Computing
Kirita-RoseEscott.html
HuiMa.html
AaronChen.html
https___doi.org_10.1007_978-3-031-30035-6_10 https://doi.org/10.1007/978-3-031-30035-6_10
http___dx.doi.org_10.1007_978-3-031-30035-6_10 http://dx.doi.org/10.1007/978-3-031-30035-6_10
https___dblp.org_rec_conf_evoW_EscottMC23.bib https://dblp.org/rec/conf/evoW/EscottMC23.bib
eurogp:EscuelaOK05 Evolving L-Systems to Capture Protein Structure Native Conformations
GabiEscuela.html
GabrielaOchoa.html
NatalioKrasnogor.html
http___www.cs.nott.ac.uk__nxk_PAPERS_LsysPSP05.pdf http://www.cs.nott.ac.uk/~nxk/PAPERS/LsysPSP05.pdf
http___dx.doi.org_10.1007_978-3-540-31989-4_7 http://dx.doi.org/10.1007/978-3-540-31989-4_7
http___dx.doi.org_10.1007_b107383 http://dx.doi.org/10.1007/b107383
Esfahani:2015:hbgpa Use of Genetic Programming Based Surrogate Models to Simulate Complex Geochemical Transport Processes in Contaminated Mine Sites
HamedKoohpayehzadehEsfahani.html
BithinDatta.html
http___dx.doi.org_10.1007_978-3-319-20883-1_14 http://dx.doi.org/10.1007/978-3-319-20883-1_14
Esfahanipour:2010:IJRIS Genetic programming application to generate technical trading rules in stock markets
AkbarEsfahanipour.html
SomayehMousavi.html
http___www.inderscience.com_link.php_id_36870 http://www.inderscience.com/link.php?id=36870
http___dx.doi.org_10.1504_IJRIS.2010.036870 http://dx.doi.org/10.1504/IJRIS.2010.036870
Esfahanipour20118438 A genetic programming model to generate risk-adjusted technical trading rules in stock markets
AkbarEsfahanipour.html
SomayehMousavi.html
http___dx.doi.org_10.1016_j.eswa.2011.01.039 http://dx.doi.org/10.1016/j.eswa.2011.01.039
http___www.sciencedirect.com_science_article_B6V03-52178YW-J_2_5208571320b6e5c08daf35597b9f81f4 http://www.sciencedirect.com/science/article/B6V03-52178YW-J/2/5208571320b6e5c08daf35597b9f81f4
Esha:2020:Ecohydrology Pioneer use of gene expression programming for predicting seasonal streamflow in Australia using large scale climate drivers
RijwanaEsha.html
MonzurAlamImteaz.html
https___onlinelibrary.wiley.com_doi_abs_10.1002_eco.2242 https://onlinelibrary.wiley.com/doi/abs/10.1002/eco.2242
http___dx.doi.org_10.1002_eco.2242 http://dx.doi.org/10.1002/eco.2242
Rijwana_Esha_Thesis Comparative Analysis of the Predictability of Linear \& Non-linear Methods for Seasonal Streamflow Forecasting: A Case Study of New South Wales (NSW)
RijwanaEsha.html
http___hdl.handle.net_1959.3_459586 http://hdl.handle.net/1959.3/459586
https___researchbank.swinburne.edu.au_file_4c9cf5d5-4cd9-4479-8036-a33044d80c64_1_Rijwana_Esha_Thesis.pdf https://researchbank.swinburne.edu.au/file/4c9cf5d5-4cd9-4479-8036-a33044d80c64/1/Rijwana_Esha_Thesis.pdf
Eskil2008774 A new formulation for martensite start temperature of Fe-Mn-Si shape memory alloys using genetic programming
MuratEskil.html
ErdoganKanca.html
http___www.sciencedirect.com_science_article_B6TWM-4S1BT8K-1_2_8c255199aba8337ed54aa30bf0ec4ab4 http://www.sciencedirect.com/science/article/B6TWM-4S1BT8K-1/2/8c255199aba8337ed54aa30bf0ec4ab4
http___dx.doi.org_10.1016_j.commatsci.2008.01.042 http://dx.doi.org/10.1016/j.commatsci.2008.01.042
eskin:1999:Othello Genetic Programming Applied to Othello: Introducing Students to Machine Learning Research
EleazarEskin.html
EricSiegel.html
http___www.cs.columbia.edu__evs_papers_sigcse-paper.ps http://www.cs.columbia.edu/~evs/papers/sigcse-paper.ps
https___doi.org_10.1145_384266.299771 https://doi.org/10.1145/384266.299771
http___dx.doi.org_10.1145_384266.299771 http://dx.doi.org/10.1145/384266.299771
eskridge:2004:isamcofgp Imitating Success: A Memetic Crossover Operator for Genetic Programming
BrentEEskridge.html
DeanFHougen.html
http___dx.doi.org_10.1109_CEC.2004.1330943 http://dx.doi.org/10.1109/CEC.2004.1330943
eskridge:mcf:gecco2004 Memetic Crossover for Genetic Programming: Evolution Through Imitation
BrentEEskridge.html
DeanFHougen.html
http___dx.doi.org_10.1007_b98645 http://dx.doi.org/10.1007/b98645
Eskridge:2006:CEC An Analysis of Memetic Crossover's Impact on a Population
BrentEEskridge.html
DeanFHougen.html
http___dx.doi.org_10.1109_CEC.2006.1688546 http://dx.doi.org/10.1109/CEC.2006.1688546
ESMAEILI:2018:JML A simple correlation for determining ionic liquids surface tension
HadiEsmaeili.html
HassanHashemipour.html
http___dx.doi.org_10.1016_j.molliq.2018.10.011 http://dx.doi.org/10.1016/j.molliq.2018.10.011
http___www.sciencedirect.com_science_article_pii_S0167732218327089 http://www.sciencedirect.com/science/article/pii/S0167732218327089
Esmaeili:2018:AAI Determination of Kinetic and Equilibrium Parameters of Chromium Adsorption from Water with Carbon Nanotube Using Genetic Programming
HadiEsmaeili.html
HassanHashemipour.html
http___dx.doi.org_10.1080_08839514.2018.1448148 http://dx.doi.org/10.1080/08839514.2018.1448148
ESMAEILI:2021:JML A simple correlation to predict surface tension of binary mixtures containing ionic liquids
HadiEsmaeili.html
HassanHashemipour.html
http___dx.doi.org_10.1016_j.molliq.2020.114660 http://dx.doi.org/10.1016/j.molliq.2020.114660
https___www.sciencedirect.com_science_article_pii_S0167732220369026 https://www.sciencedirect.com/science/article/pii/S0167732220369026
Esmeraldo:2010:SPL A Genetic Programming based approach for efficiently exploring architectural communication design space of MPSoCs
GuilhermeEsmeraldo.html
EdnaBarros.html
http___dx.doi.org_10.1109_SPL.2010.5483006 http://dx.doi.org/10.1109/SPL.2010.5483006
Esmeraldo:2012:GPnew Genetically Programmed Regression Linear Models for Non-Deterministic Estimates
GuilhermeEsmeraldo.html
RobsonFeitosa.html
DilzaEsmeraldo.html
EdnaBarros.html
http___dx.doi.org_10.5772_48156 http://dx.doi.org/10.5772/48156
Esmeraldo:thesis Uma Abordagem Hibrida para Estimacao de Desempenho de Comunicacao em Plataformas Baseadas em Barramentos
GuilhermeEsmeraldo.html
https___repositorio.ufpe.br_handle_123456789_10812 https://repositorio.ufpe.br/handle/123456789/10812
https___repositorio.ufpe.br_bitstream_123456789_10812_1_thesis-garme.pdf https://repositorio.ufpe.br/bitstream/123456789/10812/1/thesis-garme.pdf
esmeraldo:2022:AIEPLBR Using Genetic Programming and Linear Regression for Academic Performance Analysis
GuilhermeEsmeraldo.html
RobsonFeitosa.html
CiceroSamuelMendes.html
CiceroCarlosOliveira.html
EsdrasBispoJunior.html
AllanCarlosdeSousa.html
GustavoCampos.html
http___link.springer.com_chapter_10.1007_978-3-031-11647-6_30 http://link.springer.com/chapter/10.1007/978-3-031-11647-6_30
http___dx.doi.org_10.1007_978-3-031-11647-6_30 http://dx.doi.org/10.1007/978-3-031-11647-6_30
espada2022data Data Types as a More Ergonomic Frontend for Grammar-Guided Genetic Programming
GuilhermeJorgeNunesMonteiroEspada.html
LeonIngelse.html
PauloAlexandreCanelasdosSantos.html
PedroSantosBarbosa.html
AlcidesFonseca.html
https___arxiv.org_abs_2210.04826 https://arxiv.org/abs/2210.04826
http___dx.doi.org_10.1145_3564719.3568697 http://dx.doi.org/10.1145/3564719.3568697
https___github.com_alcides_GeneticEngine https://github.com/alcides/GeneticEngine
esparcia:1995:95012 Evolving Digital Signal Processing Algorithms by Genetic Programming
KennethCSharman.html
AnnaEsparcia-Alcazar.html
YunLi.html
http___www.mech.gla.ac.uk_Research_Control_Publications_Reports_csc95012.ps http://www.mech.gla.ac.uk/Research/Control/Publications/Reports/csc95012.ps
http___www.mech.gla.ac.uk_Research_Control_Publications_Rabstracts_abs95012.html http://www.mech.gla.ac.uk/Research/Control/Publications/Rabstracts/abs95012.html
esparcia:1996:96009 Evolving Recurrent Neural Network Architectures by Genetic Programming
AnnaEsparcia-Alcazar.html
KennethCSharman.html
http___www.mech.gla.ac.uk_Research_Control_Publications_Reports_csc96009.ps http://www.mech.gla.ac.uk/Research/Control/Publications/Reports/csc96009.ps
http___www.mech.gla.ac.uk_Research_Control_Publications_Rabstracts_abs96009.html http://www.mech.gla.ac.uk/Research/Control/Publications/Rabstracts/abs96009.html
esparcia:1996:96010 Application of Genetic Programming to Signal Processing Problems
AnnaEsparcia-Alcazar.html
KennethCSharman.html
http___www.mech.gla.ac.uk_Research_Control_Publications_Reports_csc96010.ps http://www.mech.gla.ac.uk/Research/Control/Publications/Reports/csc96010.ps
http___www.mech.gla.ac.uk_Research_Control_Publications_Rabstracts_abs96010.html http://www.mech.gla.ac.uk/Research/Control/Publications/Rabstracts/abs96010.html
esparcia:1996:GPdsp Some Applications of Genetic Programming in Digital Signal Processing
AnnaEsparcia-Alcazar.html
KennethCSharman.html
http___www.iti.upv.es__anna_papers_someappsgp96.ps http://www.iti.upv.es/~anna/papers/someappsgp96.ps
esparcia:1996:GPerNNasp Genetic Programming Techniques that Evolve Recurrent Neural Networks Architectures for Signal Processing
AnnaEsparcia-Alcazar.html
KennethCSharman.html
http___dx.doi.org_10.1109_NNSP.1996.548344 http://dx.doi.org/10.1109/NNSP.1996.548344
esparcia:1997:GPdsp Evolving Recurrent Neural Network Architectures by Genetic Programming
AnnaEsparcia-Alcazar.html
KennethCSharman.html
http___www.iti.upv.es__anna_papers_gp-rnn97.ps http://www.iti.upv.es/~anna/papers/gp-rnn97.ps
Esparcia-Alcazar:1997:lsGP Learning Schemes for Genetic Programming
AnnaEsparcia-Alcazar.html
KennethCSharman.html
http___www.iti.upv.es__anna_papers_learningGP97.ps http://www.iti.upv.es/~anna/papers/learningGP97.ps
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_esparcia-alcazar_Esparcia-Alcazar_1997_lsGP.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/esparcia-alcazar/Esparcia-Alcazar_1997_lsGP.pdf
Esparcia-Alcazar:1997:iGPtasp An investigation into a Genetic Programming Technique for Adaptive Signal Processing
AnnaEsparcia-Alcazar.html
Esparcia-Alcazar:1998:thesis Genetic Programming for Adaptive Signal Processing
AnnaEsparcia-Alcazar.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_esparcia-alcazar_thesis.ps.gz http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/esparcia-alcazar/thesis.ps.gz
http___ethos.bl.uk_OrderDetails.do_did_17_uin_uk.bl.ethos.244255 http://ethos.bl.uk/OrderDetails.do?did=17&uin=uk.bl.ethos.244255
http___theses.gla.ac.uk_4780_ http://theses.gla.ac.uk/4780/
http___theses.gla.ac.uk_4780_1_1998alcazarphd.pdf http://theses.gla.ac.uk/4780/1/1998alcazarphd.pdf
esparcia-alcazar:1999:ppGPcdlis Phenotype Plasticity in Genetic Programming: A Comparison of Darwinian and Lamarckian Inheritance Schemes
AnnaEsparcia-Alcazar.html
KennethCSharman.html
http___www.iti.upv.es__anna_papers_eurogp99.ps http://www.iti.upv.es/~anna/papers/eurogp99.ps
http___dx.doi.org_10.1007_3-540-48885-5_5 http://dx.doi.org/10.1007/3-540-48885-5_5
esparcia-alcazar:1999:GPce Genetic Programming for Channel Equalisation
AnnaEsparcia-Alcazar.html
KennethCSharman.html
http___www.iti.upv.es__anna_papers_evoiasp99.ps http://www.iti.upv.es/~anna/papers/evoiasp99.ps
http___dx.doi.org_10.1007_10704703_10 http://dx.doi.org/10.1007/10704703_10
http___citeseer.ist.psu.edu_286482.html http://citeseer.ist.psu.edu/286482.html
Esparcia-Alcazar:2009:gecco GECCO '09: Proceedings of the 11th annual conference companion on Genetic and evolutionary computation conference
AnnaEsparcia-Alcazar.html
Ying-pingChen.html
GabrielaOchoa.html
EnderOzcan.html
MarcSchoenauer.html
AnneAuger.html
Hans-GeorgBeyer.html
NikolausHansen.html
SteffenFinck.html
RaymondRos.html
LDarrellWhitley.html
GarnettCarlWilson.html
SimonHarding.html
WilliamBLangdon.html
ManLeungWong.html
LaurenceDMerkle.html
FrankWilliamMoore.html
SevanGFicici.html
WilliamMichaelRand.html
RickLRiolo.html
NawwafKharma.html
WilliamRBuckley.html
JulianFMiller.html
KennethOStanley.html
JaumeBacardit.html
WillNBrowne.html
JanDrugowitsch.html
NicolaBeume.html
MikePreuss.html
StephenLSmith.html
StefanoCagnoni.html
JimDeLeo.html
AlexandruFloares.html
AaronBaughman.html
StevenMGustafson.html
MaartenKeijzer.html
ArthurKKordon.html
ClareBatesCongdon.html
LaurenceDMerkle.html
FrankWilliamMoore.html
http___dl.acm.org_citation.cfm_id_1570256_picked_prox_CFID_401616080_CFTOKEN_58741794 http://dl.acm.org/citation.cfm?id=1570256&picked=prox&CFID=401616080&CFTOKEN=58741794
Esparcia-Alcazar:2010:GP Proceedings of the 13th European Conference on Genetic Programming, EuroGP 2010
AnnaEsparcia-Alcazar.html
AnikoEkart.html
SaraSilva.html
StephenDignum.html
ASimaEtaner-Uyar.html
http___dx.doi.org_10.1007_978-3-642-12148-7 http://dx.doi.org/10.1007/978-3-642-12148-7
journals/soco/Esparcia-AlcazarM13 Fitness approximation for bot evolution in genetic programming: Lessons learned from the UT2004 TM computer game
AnnaEsparcia-Alcazar.html
JaroslavMoravec.html
http___dx.doi.org_10.1007_s00500-012-0965-7 http://dx.doi.org/10.1007/s00500-012-0965-7
Esparcia-Alcazar:2017:evoApplications Evolving Rules for Action Selection in Automated Testing via Genetic Programming - A First Approach
AnnaEsparcia-Alcazar.html
FranciscoAlmenar.html
UrkoRueda.html
TanjaEJVos.html
http___dx.doi.org_10.1007_978-3-319-55792-2_6 http://dx.doi.org/10.1007/978-3-319-55792-2_6
esparcia-alcazar:2018:MC Using genetic programming to evolve action selection rules in traversal-based automated software testing: results obtained with the TESTAR tool
AnnaEsparcia-Alcazar.html
FranciscoAlmenar.html
TanjaEJVos.html
UrkoRueda.html
http___link.springer.com_article_10.1007_s12293-018-0263-8 http://link.springer.com/article/10.1007/s12293-018-0263-8
http___dx.doi.org_10.1007_s12293-018-0263-8 http://dx.doi.org/10.1007/s12293-018-0263-8
Esparcia-Alcazar:GPEM:nomgp Special Issue on Integrating numerical optimization methods with genetic programming
AnnaEsparcia-Alcazar.html
LeonardoTrujillo.html
http___dx.doi.org_10.1007_s10710-020-09381-6 http://dx.doi.org/10.1007/s10710-020-09381-6
espejo:2006:AEPIA Eleccion de Operadores Logicos para la Induccion de Conocimiento Comprensible
PedroGonzalezEspejo.html
CesarHervasMartinez.html
SebastianVentura.html
CristobalRomeroMorales.html
http___sci2s.ugr.es_keel_pdf_keel_articulo_1cr-1r-2r.pdf http://sci2s.ugr.es/keel/pdf/keel/articulo/1cr-1r-2r.pdf
Espejo:2010:ieeetSMC A Survey on the Application of Genetic Programming to Classification
PedroGonzalezEspejo.html
SebastianVentura.html
FranciscoHerrera.html
http___dx.doi.org_10.1109_TSMCC.2009.2033566 http://dx.doi.org/10.1109/TSMCC.2009.2033566
conf/mcpr2/EspinalCOPMS14 Developing Architectures of Spiking Neural Networks by Using Grammatical Evolution Based on Evolutionary Strategy
AndresEspinalJimenez.html
JuanMartinCarpio-Valadez.html
ManuelOrnelas-Rodriguez.html
HectorJPuga.html
PatriciaMelin.html
MarcoAurelioSoteloFigueroa.html
http___dx.doi.org_10.1007_978-3-319-07491-7 http://dx.doi.org/10.1007/978-3-319-07491-7
Esposito:2007:PriCKL Conceptual Clustering Applied to Ontologies by means of Semantic Discernability
FlorianaEsposito.html
NicolaFanizzi.html
Claudiad'Amato.html
http___www.ecmlpkdd2007.org_CD_workshops_PRICKLWM2_P_Fan_PriCKL07_PriCkl2007-final.pdf http://www.ecmlpkdd2007.org/CD/workshops/PRICKLWM2/P_Fan/PriCKL07/PriCkl2007-final.pdf
essam:2001:acpfgp Adaptive Control of Partial Functions in Genetic Programming
DarylEssam.html
RI_Bob_McKay.html
http___www.cs.adfa.edu.au__rim_PAPERS_CEC01final.pdf http://www.cs.adfa.edu.au/~rim/PAPERS/CEC01final.pdf
http___dx.doi.org_10.1109_CEC.2001.934285 http://dx.doi.org/10.1109/CEC.2001.934285
Essam:2004:SEAL Heritage Diversity in Genetic Programming
DarylEssam.html
RI_Bob_McKay.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.143.9916 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.143.9916
http___sc.snu.ac.kr_PAPERS_seal04.pdf http://sc.snu.ac.kr/PAPERS/seal04.pdf
DBLP:conf/icann/EstebanezVAG05 A First Attempt at Constructing Genetic Programming Expressions for EEG Classification
CesarEstebanez.html
JoseMariaVallsFerran.html
RicardoAlerMur.html
InesMariaGalvanLeon.html
http___dx.doi.org_10.1007_11550822_103 http://dx.doi.org/10.1007/11550822_103
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CesarEstebanez.html
RicardoAlerMur.html
JoseMariaVallsFerran.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.193.6069 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.193.6069
http___citeseerx.ist.psu.edu_viewdoc_download_doi_10.1.1.193.6069.pdf http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.193.6069.pdf
eurogp06:EstebanezVallsAler Projecting Financial Data using Genetic Programming in Classification and Regression Tasks
CesarEstebanez.html
JoseMariaVallsFerran.html
RicardoAlerMur.html
http___dx.doi.org_10.1007_11729976_18 http://dx.doi.org/10.1007/11729976_18
1144300 Evolving hash functions by means of genetic programming
CesarEstebanez.html
JulioCesarHernandez-Castro.html
DArturoRibagordaGarnacho.html
PedroIsasiVinuela.html
http___gpbib.cs.ucl.ac.uk_gecco2006_docs_p1861.pdf http://gpbib.cs.ucl.ac.uk/gecco2006/docs/p1861.pdf
http___dx.doi.org_10.1145_1143997.1144300 http://dx.doi.org/10.1145/1143997.1144300
Estebanez:PPSN:2006 Finding State-of-the-Art Non-cryptographic Hashes with Genetic Programming
CesarEstebanez.html
JulioCesarHernandez-Castro.html
DArturoRibagordaGarnacho.html
PedroIsasiVinuela.html
http___dx.doi.org_10.1007_11844297_83 http://dx.doi.org/10.1007/11844297_83
journals/ijcsa/EstebanezAV07 A Method Based on Genetic Programming for Improving the Quality of Datasets in Classification Problems
CesarEstebanez.html
RicardoAlerMur.html
JoseMariaVallsFerran.html
http___www.tmrfindia.org_ijcsa_V4I17.pdf http://www.tmrfindia.org/ijcsa/V4I17.pdf
Estebanez:2009:eurogp An experimental study on fitness distributions of tree shapes in GP with One-Point Crossover
CesarEstebanez.html
RicardoAlerMur.html
JoseMariaVallsFerran.html
PabloAlonsoEsparza.html
http___dx.doi.org_10.1007_978-3-642-01181-8_21 http://dx.doi.org/10.1007/978-3-642-01181-8_21
Estebanez:2009:OTSCP Generating Automatic Projections by Means of Genetic Programming
CesarEstebanez.html
RicardoAlerMur.html
http___www.amazon.com_gp_search_search-alias_stripbooks_field-isbn_978-0470293324 http://www.amazon.com/gp/search?search-alias=stripbooks&field-isbn=978-0470293324
http___dx.doi.org_10.1002_9780470411353.ch1 http://dx.doi.org/10.1002/9780470411353.ch1
Tesis_Cesar_Estebanez_Tascon Automatic design of Non-Chryptographic Hash Functions Using Artificial Intelligence Techniques
CesarEstebanez.html
http___hdl.handle.net_10016_13694 http://hdl.handle.net/10016/13694
http___e-archivo.uc3m.es_bitstream_handle_10016_13694_Tesis_Cesar_Estebanez_Tascon.pdf http://e-archivo.uc3m.es/bitstream/handle/10016/13694/Tesis_Cesar_Estebanez_Tascon.pdf
Estebanez:2014:CI Automatic Design of Noncryptographic Hash Functions using Genetic Programming
CesarEstebanez.html
YagoSaez.html
GustavoRecioIsasi.html
PedroIsasiVinuela.html
http___dx.doi.org_10.1002_coin.12033 http://dx.doi.org/10.1002/coin.12033
Estevez:2005:EL Genetic programming-based voice activity detection
PabloAEstevez.html
NestorBecerraYoma.html
NevenBoric.html
JARamirez.html
http___dx.doi.org_10.1049_el_20052475 http://dx.doi.org/10.1049/el:20052475
Estevez:2008:GPEM Russel C. Eberhart, Yuhui Shi: Computational Intelligence: Concepts to Implementation
PabloAEstevez.html
http___dx.doi.org_10.1007_s10710-008-9064-z http://dx.doi.org/10.1007/s10710-008-9064-z
conf/acl/Estevez-Velarde19 AutoML Strategy Based on Grammatical Evolution: A Case Study about Knowledge Discovery from Text
SuilanEstevez-Velarde.html
YoanGutierrez.html
AndresMontoyo.html
YudivianAlmeida-Cruz.html
http___dx.doi.org_10.18653_v1_p19-1428 http://dx.doi.org/10.18653/v1/p19-1428
journals/isci/Estevez-Velarde21 General-purpose hierarchical optimisation of machine learning pipelines with grammatical evolution
SuilanEstevez-Velarde.html
YoanGutierrez.html
YudivianAlmeida-Cruz.html
AndresMontoyo.html
https___www.sciencedirect.com_science_article_pii_S0020025520306988 https://www.sciencedirect.com/science/article/pii/S0020025520306988
http___dx.doi.org_10.1016_j.ins.2020.07.035 http://dx.doi.org/10.1016/j.ins.2020.07.035
Estrada:2015:ieeeICPADS A Genetic Programming Approach to Design Resource Allocation Policies for Heterogeneous Workflows in the Cloud
TrilceEstrada.html
MichaelWyatt.html
MichelaTaufer.html
http___dx.doi.org_10.1109_ICPADS.2015.54 http://dx.doi.org/10.1109/ICPADS.2015.54
Estrada-Gil:2007:BI GPDTI: A Genetic Programming Decision Tree Induction method to find epistatic effects in common complex diseases
JesusKarolEstradaGil.html
JuanCarlosFernandezLopez.html
EnriqueHernandezLemus.html
IrmaSilva-Zolezzi.html
AlfredoHidalgoMiranda.html
GerardoJimenez-Sanchez.html
EdgarEVallejo.html
http___dx.doi.org_10.1093_bioinformatics_btm205 http://dx.doi.org/10.1093/bioinformatics/btm205
Eszes:2021:CINTI Applying Genetic Programming for the Inverse Lindenmayer Problem
TiborEszes.html
JanosBotzheim.html
http___dx.doi.org_10.1109_CINTI53070.2021.9668544 http://dx.doi.org/10.1109/CINTI53070.2021.9668544
Etemadi20093199 A genetic programming model for bankruptcy prediction: Empirical evidence from Iran
HosseinEtemadi.html
AliAsgharAnvaryRostamy.html
HassanFarajzadehDehkordi.html
http___dx.doi.org_10.1016_j.eswa.2008.01.012 http://dx.doi.org/10.1016/j.eswa.2008.01.012
http___www.sciencedirect.com_science_article_B6V03-4RSRDDN-4_2_acecffea7c551388162fae4dfbe2a6e2 http://www.sciencedirect.com/science/article/B6V03-4RSRDDN-4/2/acecffea7c551388162fae4dfbe2a6e2
arXiv-2007.06986 Longitudinal Analysis of the Applicability of Program Repair on Past Commits
KhashayarEtemadi.html
NiloofarTarighat.html
SiddharthYadav.html
MatiasSebastianMartinez.html
MartinMonperrus.html
http___arxiv.org_pdf_2007.06986 http://arxiv.org/pdf/2007.06986
Etemadi:evoapps13 CodeMonkey: a GUI Driven Platform for Swift Synthesis of Evolutionary Algorithms in Java
RezaEtemadi.html
NawwafKharma.html
PeterGrogono.html
http___dx.doi.org_10.1007_978-3-642-37192-9_44 http://dx.doi.org/10.1007/978-3-642-37192-9_44
Eto:2004:FLoGNPaiAtaPP Functional Localization of Genetic Network Programming and its Application to a Pursuit Problem
ShinjiEto.html
KotaroHirasawa.html
JingluHu.html
http___dx.doi.org_10.1109_CEC.2004.1330925 http://dx.doi.org/10.1109/CEC.2004.1330925
Eto:gecco06lbp Evolutionary method of Genetic Network Programing Considering Breadth and Depth
ShinjiEto.html
ShingoMabu.html
KotaroHirasawa.html
JingluHu.html
http___gpbib.cs.ucl.ac.uk_gecco2006etc_papers_lbp119.pdf http://gpbib.cs.ucl.ac.uk/gecco2006etc/papers/lbp119.pdf
Eto:2007:cec Genetic Network Programming with Control Nodes
ShinjiEto.html
ShingoMabu.html
KotaroHirasawa.html
TakayukiHuruzuki.html
http___dx.doi.org_10.1109_CEC.2007.4424582 http://dx.doi.org/10.1109/CEC.2007.4424582
Evangelista:2009:ISDA Implementing Metaheuristic Optimization Algorithms with JECoLi
PedroTiagoEvangelista.html
PauloMaia.html
MiguelRocha.html
http___dx.doi.org_10.1109_ISDA.2009.161 http://dx.doi.org/10.1109/ISDA.2009.161
Evangelista:thesis Novel approaches for dynamic modelling of E. coli and their application in Metabolic Engineering
PedroTiagoEvangelista.html
http___hdl.handle.net_1822_43446 http://hdl.handle.net/1822/43446
http___repositorium.sdum.uminho.pt_bitstream_1822_43446_1_PedroEvangelistaThesis.pdf http://repositorium.sdum.uminho.pt/bitstream/1822/43446/1/PedroEvangelistaThesis.pdf
Evans:2018:CEC Evolutionary Deep Learning: A Genetic Programming Approach to Image Classification
BenjaminEvans.html
HarithAl-Sahaf.html
BingXue.html
MengjieZhang.html
http___dx.doi.org_10.1109_CEC.2018.8477933 http://dx.doi.org/10.1109/CEC.2018.8477933
DBLP:journals/corr/abs-1909-13030 Genetic Programming and Gradient Descent: A Memetic Approach to Binary Image Classification
BenjaminEvans.html
HarithAl-Sahaf.html
BingXue.html
MengjieZhang.html
http___arxiv.org_abs_1909.13030 http://arxiv.org/abs/1909.13030
https___dblp.org_rec_journals_corr_abs-1909-13030.bib https://dblp.org/rec/journals/corr/abs-1909-13030.bib
Evans:2019:GECCO What's inside the black-box?: a genetic programming method for interpreting complex machine learning models
BenjaminEvans.html
BingXue.html
MengjieZhang.html
http___dx.doi.org_10.1145_3321707.3321726 http://dx.doi.org/10.1145/3321707.3321726
Evans:2020:GECCO Improving Generalisation of AutoML Systems with Dynamic Fitness Evaluations
BenjaminEvans.html
BingXue.html
MengjieZhang.html
https___doi.org_10.1145_3377930.3389805 https://doi.org/10.1145/3377930.3389805
http___dx.doi.org_10.1145_3377930.3389805 http://dx.doi.org/10.1145/3377930.3389805
Evans:2020:CEC An Adaptive and Near Parameter-free Evolutionary Computation Approach Towards True Automation in AutoML
BenjaminEvans.html
BingXue.html
MengjieZhang.html
https___arxiv.org_pdf_2001.10178.pdf https://arxiv.org/pdf/2001.10178.pdf
http___dx.doi.org_10.1109_CEC48606.2020.9185770 http://dx.doi.org/10.1109/CEC48606.2020.9185770
Evans:2001:CEP Application of system identification techniques to aircraft gas turbine engines
CEvans.html
PeterJFleming.html
DCHill.html
JPNorton.html
IPratt.html
DRees.html
KatyaRodriguez-Vazquez.html
http___dx.doi.org_10.1016_S0967-0661_00_00091-5 http://dx.doi.org/10.1016/S0967-0661(00)00091-5
Evans:2008:IVCNZ Particle swarm optimisation for object classification
HamishEvans.html
MengjieZhang.html
http___dx.doi.org_10.1109_IVCNZ.2008.4762143 http://dx.doi.org/10.1109/IVCNZ.2008.4762143
evett:1987:rifs Rule Induction in Forensic Science
IanWEvett.html
EJSpiehler.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_evett_1987_rifs.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/evett_1987_rifs.pdf
Evett97-agps-tr A Distributed System for Genetic Programming that Dynamically Allocates Processors
MatthewPEvett.html
ThomasFernandez.html
Evett:1997:aaaiMAL A Distributed System for Genetic Programming that Dynamically Allocates Processors
MatthewPEvett.html
ThomasFernandez.html
http___www.aaai.org_Papers_Workshops_1997_WS-97-06_WS97-06-008.pdf http://www.aaai.org/Papers/Workshops/1997/WS-97-06/WS97-06-008.pdf
evett:1998:GPsqp GP-based software quality prediction
MatthewPEvett.html
TaghiKhoshgoftar.html
Pei-derChien.html
EdwardBAllen.html
http___www.emunix.emich.edu__evett_Publications_gp98-se.pdf http://www.emunix.emich.edu/~evett/Publications/gp98-se.pdf
evett:1998:nmidncGP Numeric Mutation Improves the Discovery of Numeric Constants in Genetic Programming
MatthewPEvett.html
ThomasFernandez.html
http___www.emunix.emich.edu__evett_Publications_gp98-nm.pdf http://www.emunix.emich.edu/~evett/Publications/gp98-nm.pdf
FLAIRS98-020 Numeric Mutation: Improved Search in Genetic Programming
MatthewPEvett.html
ThomasFernandez.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.523.4494 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.523.4494
https___www.aaai.org_Library_FLAIRS_1998_flairs98-020.php https://www.aaai.org/Library/FLAIRS/1998/flairs98-020.php
https___www.aaai.org_Papers_FLAIRS_1998_FLAIRS98-020.pdf https://www.aaai.org/Papers/FLAIRS/1998/FLAIRS98-020.pdf
Evett:1999:FLAIRS Using genetic programming to determine software quality
MatthewPEvett.html
TaghiMKhoshgoftaar.html
Pei-derChien.html
EdwardBAllen.html
http___www.aaai.org_Papers_FLAIRS_1999_FLAIRS99-020.pdf http://www.aaai.org/Papers/FLAIRS/1999/FLAIRS99-020.pdf
evett:1999:MG Modelling software quality with GP
MatthewPEvett.html
TaghiMKhoshgoftaar.html
Pei-derChien.html
EdwardBAllen.html
http___gpbib.cs.ucl.ac.uk_gecco1999_GP-462.pdf http://gpbib.cs.ucl.ac.uk/gecco1999/GP-462.pdf
http___gpbib.cs.ucl.ac.uk_gecco1999_GP-462.ps http://gpbib.cs.ucl.ac.uk/gecco1999/GP-462.ps
evonews:1999:mole MOLE at City University
http___evonet.lri.fr_evoweb_files_evonews_evonews11.pdf http://evonet.lri.fr/evoweb/files/evonews/evonews11.pdf
evonews:1999:art Evol-artists - a new breed entirely
http___evonet.lri.fr_evoweb_files_evonews_evonews11.pdf http://evonet.lri.fr/evoweb/files/evonews/evonews11.pdf
Evstigneev2009507 Evolutionary Finance
IgorVEvstigneev.html
ThorstenHens.html
KlausReinerSchenk-Hoppe.html
http___dx.doi.org_10.1016_B978-012374258-2.50013-0 http://dx.doi.org/10.1016/B978-012374258-2.50013-0
http___www.sciencedirect.com_science_article_B8N8N-4W6Y2CK-9_2_d140c798e01e01356572d883e6694255 http://www.sciencedirect.com/science/article/B8N8N-4W6Y2CK-9/2/d140c798e01e01356572d883e6694255
FaHa2012-ICPE Systematic adoption of genetic programming for deriving software performance curves
MichaelFaber.html
JensHappe.html
http___sdqweb.ipd.kit.edu_publications_pdfs_FaHa2012-ICPE.pdf http://sdqweb.ipd.kit.edu/publications/pdfs/FaHa2012-ICPE.pdf
http___dx.doi.org_10.1145_2188286.2188295 http://dx.doi.org/10.1145/2188286.2188295
Fabera:2012:mendel Grammatical Evolution and FSM Construction
VitFabera.html
JanZelenka.html
MariaJanesova.html
VlastimilJanes.html
Fagan:2010:EuroGP An Analysis of Genotype-Phenotype Maps in Grammatical Evolution
DavidFagan.html
MichaelO'Neill.html
EdgarGalvanLopez.html
AnthonyBrabazon.html
SeanMcGarraghy.html
http___dx.doi.org_10.1007_978-3-642-12148-7_6 http://dx.doi.org/10.1007/978-3-642-12148-7_6
fagan_etal:cec2010 Investigating Mapping Order in piGE
DavidFagan.html
MiguelNicolau.html
MichaelO'Neill.html
EdgarGalvanLopez.html
AnthonyBrabazon.html
SeanMcGarraghy.html
http___dx.doi.org_10.1109_CEC.2010.5586204 http://dx.doi.org/10.1109/CEC.2010.5586204
FaganNHOB:TechReport042011 Dynamic Ant: Introducing a new benchmark for Genetic Programming in Dynamic Environments
DavidFagan.html
MiguelNicolau.html
ErikHemberg.html
MichaelO'Neill.html
AnthonyBrabazon.html
http___www.csi.ucd.ie_files_UCD-CSI-2011-04.pdf http://www.csi.ucd.ie/files/UCD-CSI-2011-04.pdf
fagan:2011:EuroGP Investigation of the Performance of Different Mapping Orders for GE on the Max Problem
DavidFagan.html
MiguelNicolau.html
ErikHemberg.html
MichaelO'Neill.html
AnthonyBrabazon.html
SeanMcGarraghy.html
http___dx.doi.org_10.1007_978-3-642-20407-4_25 http://dx.doi.org/10.1007/978-3-642-20407-4_25
Fagan:2011:GECCOposter Dynamic ant: introducing a new benchmark for genetic programming in dynamic environments
DavidFagan.html
MiguelNicolau.html
ErikHemberg.html
MichaelO'Neill.html
AnthonyBrabazon.html
http___dx.doi.org_10.1145_2001858.2001961 http://dx.doi.org/10.1145/2001858.2001961
Fagan:2011:GECCOcomp Genotype-phenotype mapping in dynamic environments with grammatical evolution
DavidFagan.html
http___dx.doi.org_10.1145_2001858.2002091 http://dx.doi.org/10.1145/2001858.2002091
Fagan:2012:mendel Fitness Reactive Mutation in Grammatical Evolution
DavidFagan.html
ErikHemberg.html
MichaelO'Neill.html
SeanMcGarraghy.html
Fagan:2012:GECCOcomp Towards adaptive mutation in grammatical evolution
DavidFagan.html
ErikHemberg.html
MiguelNicolau.html
MichaelO'Neill.html
SeanMcGarraghy.html
http___dx.doi.org_10.1145_2330784.2331002 http://dx.doi.org/10.1145/2330784.2331002
fagan:2013:EuroGP Understanding Expansion Order and Phenotypic Connectivity in piGE
DavidFagan.html
ErikHemberg.html
MichaelO'Neill.html
SeanMcGarraghy.html
http___dx.doi.org_10.1007_978-3-642-37207-0_4 http://dx.doi.org/10.1007/978-3-642-37207-0_4
fagan:PhDThesis:2014 Analysing the Genotype-Phenotype Map in Grammatical Evolution
DavidFagan.html
http___ncra.ucd.ie_papers_DavidFaganPhDThesis2014.pdf http://ncra.ucd.ie/papers/DavidFaganPhDThesis2014.pdf
Fagan:2016:CEC Exploring Position Independent Initialisation in Grammatical Evolution
DavidFagan.html
MichaelFenton.html
MichaelO'Neill.html
http___dx.doi.org_10.1109_CEC.2016.7748331 http://dx.doi.org/10.1109/CEC.2016.7748331
Fagan:2017:IJCNN Deep learning through evolution: A hybrid approach to scheduling in a dynamic environment
DavidFagan.html
MichaelFenton.html
DavidLynch.html
StepanKucera.html
HolgerClaussen.html
MichaelO'Neill.html
http___dx.doi.org_10.1109_IJCNN.2017.7965930 http://dx.doi.org/10.1109/IJCNN.2017.7965930
Fagan:2018:hbge Mapping in Grammatical Evolution
DavidFagan.html
EoinMurphy.html
http___dx.doi.org_10.1007_978-3-319-78717-6_4 http://dx.doi.org/10.1007/978-3-319-78717-6_4
Fagiani:2015:ieeeEEEIC Short-term load forecasting for smart water and gas grids: A comparative evaluation
MarcoFagiani.html
StefanoSquartini.html
RobertoBonfigli.html
FrancescoPiazza.html
http___dx.doi.org_10.1109_EEEIC.2015.7165339 http://dx.doi.org/10.1109/EEEIC.2015.7165339
Fagiani:2015:Neurocomputing A review of datasets and load forecasting techniques for smart natural gas and water grids: Analysis and experiments
MarcoFagiani.html
StefanoSquartini.html
LeonardoGabrielli.html
SusannaSpinsante.html
FrancescoPiazza.html
http___dx.doi.org_10.1016_j.neucom.2015.04.098 http://dx.doi.org/10.1016/j.neucom.2015.04.098
http___www.sciencedirect.com_science_article_pii_S0925231215009297 http://www.sciencedirect.com/science/article/pii/S0925231215009297
Fajardo-Delgado:2018:ICAISC Genetic Programming for the Classification of Levels of Mammographic Density
DanielFajardo-Delgado.html
MariaGuadalupeSanchez.html
RaquelOchoa-Ornelas.html
IsmaelEdreinEspinosa-Curiel.html
VicenteVidal.html
http___dx.doi.org_10.1007_978-3-319-91253-0_34 http://dx.doi.org/10.1007/978-3-319-91253-0_34
Fajfar:2016:EC Evolving a Nelder-Mead Algorithm for Optimization with Genetic Programming
IztokFajfar.html
JanezPuhan.html
ArpadBurmen.html
http___dx.doi.org_10.1162_EVCO_a_00174 http://dx.doi.org/10.1162/EVCO_a_00174
Fajfar:GPEM Grammatical evolution as a hyper-heuristic to evolve deterministic real-valued optimization algorithms
IztokFajfar.html
ArpadBurmen.html
JanezPuhan.html
http___dx.doi.org_10.1007_s10710-018-9324-5 http://dx.doi.org/10.1007/s10710-018-9324-5
Fajfar:2018:Entropy Creation of Numerical Constants in Robust Gene Expression Programming
IztokFajfar.html
TadejTuma.html
https___www.mdpi.com_1099-4300_20_10_756_pdf https://www.mdpi.com/1099-4300/20/10/756/pdf
http___dx.doi.org_10.3390_e20100756 http://dx.doi.org/10.3390/e20100756
http___www.mdpi.com_1099-4300_20_10_756 http://www.mdpi.com/1099-4300/20/10/756
Falbo:2002:IFORS "Reverse engineering" of managed fund market timing strategies
PaoloFalbo.html
NicolaDoninelli.html
Faler:2011:28C3 Automatic Algorithm Invention with GPU
WesFaler.html
http___events.ccc.de_congress_2011_Fahrplan_events_4764.en.html http://events.ccc.de/congress/2011/Fahrplan/events/4764.en.html
http___events.ccc.de_congress_2011_Fahrplan_attachments_2029_AutomaticAlgorithmInvention.pdf http://events.ccc.de/congress/2011/Fahrplan/attachments/2029_AutomaticAlgorithmInvention.pdf
Faler:2011:28C3c Evolving custom communication protocols
WesFaler.html
http___events.ccc.de_congress_2011_Fahrplan_events_4818.en.html http://events.ccc.de/congress/2011/Fahrplan/events/4818.en.html
http___events.ccc.de_congress_2011_Fahrplan_attachments_2054_EvolvingCustomCommunicationProtocols.pdf http://events.ccc.de/congress/2011/Fahrplan/attachments/2054_EvolvingCustomCommunicationProtocols.pdf
FallahMehdipour:2012:WRM Real-Time Operation of Reservoir System by Genetic Programming
ElaheFallah-Mehdipour.html
OmidBozorgHaddad.html
MiguelAMarino.html
http___link.springer.com_article_10.1007_s11269-012-0132-z http://link.springer.com/article/10.1007/s11269-012-0132-z
http___dx.doi.org_10.1007_s11269-012-0132-z http://dx.doi.org/10.1007/s11269-012-0132-z
FallahMehdipour:2013:WRM Application of Genetic Programming in Stage Hydrograph Routing of Open Channels
ElaheFallah-Mehdipour.html
OmidBozorgHaddad.html
HOrouji.html
MiguelAMarino.html
http___link.springer.com_article_10.1007_s11269-013-0345-9 http://link.springer.com/article/10.1007/s11269-013-0345-9
http___dx.doi.org_10.1007_s11269-013-0345-9 http://dx.doi.org/10.1007/s11269-013-0345-9
FallahMehdipour:2013:JHR Prediction and simulation of monthly groundwater levels by genetic programming
ElaheFallah-Mehdipour.html
OmidBozorgHaddad.html
MiguelAMarino.html
http___dx.doi.org_10.1016_j.jher.2013.03.005 http://dx.doi.org/10.1016/j.jher.2013.03.005
http___www.sciencedirect.com_science_article_pii_S1570644313000270 http://www.sciencedirect.com/science/article/pii/S1570644313000270
FallahMehdipour:2015:hbgpa Application of Genetic Programming in Hydrology
ElaheFallah-Mehdipour.html
OmidBozorgHaddad.html
http___dx.doi.org_10.1007_978-3-319-20883-1_3 http://dx.doi.org/10.1007/978-3-319-20883-1_3
Fallahnezhad:2012:hoANNms Needle Insertion Force Modeling using Genetic Programming Polynomial Higher Order Neural Network
MehdiFallahnezhad.html
HashemYousefi.html
http___dx.doi.org_10.4018_978-1-4666-2175-6.ch004 http://dx.doi.org/10.4018/978-1-4666-2175-6.ch004
journals/nca/FallahpourOMKW16 An integrated model for green supplier selection under fuzzy environment: application of data envelopment analysis and genetic programming approach
AlirezaFallahpour.html
EzutahUdoncyOlugu.html
SitiNurmayaMusa.html
DariushKhezrimotlagh.html
KuanYewWong.html
http___dx.doi.org_10.1007_s00521-015-1890-3 http://dx.doi.org/10.1007/s00521-015-1890-3
journals/nca/FallahpourOM17 A hybrid model for supplier selection: integration of AHP and multi expression programming (MEP)
AlirezaFallahpour.html
EzutahUdoncyOlugu.html
SitiNurmayaMusa.html
http___dx.doi.org_10.1007_s00521-015-2078-6 http://dx.doi.org/10.1007/s00521-015-2078-6
FALLAHPOUR:2021:JCP An evolutionary-based predictive soft computing model for the prediction of electricity consumption using multi expression programming
AlirezaFallahpour.html
KuanYewWong.html
SritharRajoo.html
GuangdongTian.html
http___dx.doi.org_10.1016_j.jclepro.2020.125287 http://dx.doi.org/10.1016/j.jclepro.2020.125287
https___www.sciencedirect.com_science_article_pii_S0959652620353324 https://www.sciencedirect.com/science/article/pii/S0959652620353324
FALLAHPOUR:2023:compstruct Predicting ultimate condition and transition point on axial stress-strain curve of FRP-confined concrete using a meta-heuristic algorithm
AliFallahPour.html
RoohollahShiraniFaradonbeh.html
AliakbarGholampour.html
TuanDNgo.html
http___dx.doi.org_10.1016_j.compstruct.2022.116387 http://dx.doi.org/10.1016/j.compstruct.2022.116387
https___www.sciencedirect.com_science_article_pii_S0263822322011199 https://www.sciencedirect.com/science/article/pii/S0263822322011199
Fam:2012:AJBAS Global Optimal Analysis of Variant Genetic Operations in Solar Tracking
DFFam.html
SPKoh.html
SKTiong.html
KHChong.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.1039.306 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.1039.306
http___www.ajbasweb.com_old_ajbas_June_2012.html http://www.ajbasweb.com/old/ajbas_June_2012.html
http___www.ajbasweb.com_old_ajbas_2012_June_6-14.pdf http://www.ajbasweb.com/old/ajbas/2012/June/6-14.pdf
Fan:2023:FoSE Large Language Models for Software Engineering
AngelaFan.html
BelizUgurhanGokkaya.html
MarkHarman.html
MityaLyubarskiy.html
ShubhoSengupta.html
ShinYoo.html
JieMarinaZhang.html
Fan:2023:SMC Automated Order Dispatching Strategies Design Using Genetic Programming for Dynamic Ridesharing Problem
Chong-JiongFan.html
Ya-HuiJia.html
Wei-NengChen.html
http___dx.doi.org_10.1109_SMC53992.2023.10394334 http://dx.doi.org/10.1109/SMC53992.2023.10394334
Fan:2018:afmc Artificial intelligence control of a turbulent jet
DeweiFan.html
YuZhou.html
BerndRNoack.html
https___hal.archives-ouvertes.fr_hal-02398705 https://hal.archives-ouvertes.fr/hal-02398705
https___people.eng.unimelb.edu.au_imarusic_proceedings_21_Contribution_615_final.pdf https://people.eng.unimelb.edu.au/imarusic/proceedings/21/Contribution_615_final.pdf
FAN:2021:COR Genetic programming-based hyper-heuristic approach for solving dynamic job shop scheduling problem with extended technical precedence constraints
HualiFan.html
HegenXiong.html
MarkGoh.html
http___dx.doi.org_10.1016_j.cor.2021.105401 http://dx.doi.org/10.1016/j.cor.2021.105401
https___www.sciencedirect.com_science_article_pii_S0305054821001672 https://www.sciencedirect.com/science/article/pii/S0305054821001672
fan:1998:DADDCGP Design of an Adaptive Detector for Digital Communications using Genetic Programming
JohnLFan.html
Fan:2020:CEC A Region Adaptive Image Classification Approach Using Genetic Programming
QinglanFan.html
BingXue.html
MengjieZhang.html
http___dx.doi.org_10.1109_CEC48606.2020.9185908 http://dx.doi.org/10.1109/CEC48606.2020.9185908
Fan:2021:GECCOcomp Genetic Programming with A New Representation and A New Mutation Operator for Image Classification
QinglanFan.html
YingBi.html
BingXue.html
MengjieZhang.html
http___dx.doi.org_10.1145_3449726.3459468 http://dx.doi.org/10.1145/3449726.3459468
FAN:2022:ASC Genetic programming for feature extraction and construction in image classification
QinglanFan.html
YingBi.html
BingXue.html
MengjieZhang.html
http___dx.doi.org_10.1016_j.asoc.2022.108509 http://dx.doi.org/10.1016/j.asoc.2022.108509
https___www.sciencedirect.com_science_article_pii_S1568494622000527 https://www.sciencedirect.com/science/article/pii/S1568494622000527
fan:2022:AI Evolving Effective Ensembles for Image Classification Using Multi-objective Multi-tree Genetic Programming
QinglanFan.html
YingBi.html
BingXue.html
MengjieZhang.html
http___link.springer.com_chapter_10.1007_978-3-031-22695-3_21 http://link.springer.com/chapter/10.1007/978-3-031-22695-3_21
http___dx.doi.org_10.1007_978-3-031-22695-3_21 http://dx.doi.org/10.1007/978-3-031-22695-3_21
QinglanFan:ieeeTEC Genetic Programming for Image Classification: A New Program Representation with Flexible Feature Reuse
QinglanFan.html
YingBi.html
BingXue.html
MengjieZhang.html
http___dx.doi.org_10.1109_TEVC.2022.3169490 http://dx.doi.org/10.1109/TEVC.2022.3169490
Qinglan_Fan:ieeeTEC2 A Global and Local Surrogate-Assisted Genetic Programming Approach to Image Classification
QinglanFan.html
YingBi.html
BingXue.html
MengjieZhang.html
https___ieeexplore.ieee.org_abstract_document_9919269_ https://ieeexplore.ieee.org/abstract/document/9919269/
http___dx.doi.org_10.1109_TEVC.2022.3214607 http://dx.doi.org/10.1109/TEVC.2022.3214607
WeigueFan:1999:agmfGPeir Automatic generation of matching functions by genetic programming for effective information retrieval
WeiguoFan.html
MichaelDGordon.html
PraveenPathak.html
http___filebox.vt.edu_users_wfan_paper_Amcis_final.pdf http://filebox.vt.edu/users/wfan/paper/Amcis_final.pdf
WeiguoFan:2000:icis Personalization of Search Engine Services for Effective Retrieval and Knowledge Management
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MichaelDGordon.html
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Fan2003a Discovery of context-specific ranking functions for effective information retrieval using genetic programming
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Fan2003b A generic ranking function discovery framework by genetic programming for information retrieval
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Fan2004 Ranking Function Optimization For Effective Web Search By Genetic Programming: An Empirical Study
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Fan2004dsstwostage A two stage integrated model for intelligent information routing
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Fan2004jasist The effects of fitness functions on genetic programming-based ranking discovery for web search
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Fan2004sigir Tuning before feedback: combining ranking function discovery and blind feedback for robust retrieval
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journals/dss/FanPW06 Nonlinear ranking function representations in genetic programming-based ranking discovery for personalized search
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http___dx.doi.org_10.1016_j.dss.2005.11.002 http://dx.doi.org/10.1016/j.dss.2005.11.002
Fan2009398 Genetic-based approaches in ranking function discovery and optimization in information retrieval -- A framework
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MiZhou.html
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Fan:2010:ICNC The application of Empirical Mode Decomposition and Gene Expression Programming to short-term load forecasting
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http___dx.doi.org_10.1109_ICNC.2010.5583605 http://dx.doi.org/10.1109/ICNC.2010.5583605
Zhengjie_Fan:thesis Concise Pattern Learning for RDF Data Sets Interlinking
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fan:2001:bgrgaafd Bond Graph Representation and GP for Automated Analog Filter Design
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KisungSeo.html
ErikGoodman.html
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fan:2002:gecco Exploring Multiple Design Topologies Using Genetic Programming And Bond Graphs
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RonaldCRosenberg.html
JianjunHu.html
ErikGoodman.html
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ZhunFan:2003:AAAI Computational Synthesis of Multi-Domain Systems
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fan:2003:gecco System-Level Synthesis of MEMS via Genetic Programming and Bond Graphs
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JianjunHu.html
RonaldCRosenberg.html
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fan:2004:hesom Hierarchical Evolutionary Synthesis of MEMS
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RonaldCRosenberg.html
KisungSeo.html
JianjunHu.html
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Fan:2004:EMTP Automating the Hierarchical Synthesis of MEMS Using Evolutionary Approaches
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ZhunFan:thesis Design Automation of Mechatronic Systems
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http___www.worldcat.org_title_design-automation-of-mechatronic-systems-using-evolutionary-computation-and-bond-graph_oclc_060353062 http://www.worldcat.org/title/design-automation-of-mechatronic-systems-using-evolutionary-computation-and-bond-graph/oclc/060353062
Fan:2005:CER Exploring Open-Ended Design Space of Mechatronic Systems
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ErikGoodman.html
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Fan2008579 Structured synthesis of MEMS using evolutionary approaches
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ErikGoodman.html
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http___dx.doi.org_10.1016_j.asoc.2007.04.001 http://dx.doi.org/10.1016/j.asoc.2007.04.001
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Mechatronic_Design_Automation_Emerging_Research_and_Recent_Advances Mechatronic Design Automation: Emerging Research and Recent Advances
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Fan:2015:CEC Prediction of Acute Hypotensive Episodes Using Random Forest Based on Genetic Programming
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DazhiJiang.html
XinyeCai.html
http___dx.doi.org_10.1109_CEC.2015.7256957 http://dx.doi.org/10.1109/CEC.2015.7256957
DBLP:journals/corr/abs-1910-14627 An Automatic Design Framework of Swarm Pattern Formation based on Multi-objective Genetic Programming
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Fan:2020:beacon Mechatronic Design Automation: A Short Review
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Fan:2019:FSSIC Artificial Intelligence Control of Turbulence
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Fang:2020:QF Neural network-based automatic factor construction
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ShutaoXia.html
ZhikangXia.html
ShengleiHu.html
XiangLiu.html
YongJiang.html
http___hdl.handle.net_10.1080_14697688.2020.1814039 http://hdl.handle.net/10.1080/14697688.2020.1814039
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fang:2021:CIS FMCGP: frameshift mutation cartesian genetic programming
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http___link.springer.com_article_10.1007_s40747-020-00241-5 http://link.springer.com/article/10.1007/s40747-020-00241-5
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fang:2023:GECCOcomp GP with Ranging-Binding Technique for Symbolic Regression
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http___dx.doi.org_10.1145_3583133.3590605 http://dx.doi.org/10.1145/3583133.3590605
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JunLi.html
http___dx.doi.org_10.1007_978-3-642-16493-4_19 http://dx.doi.org/10.1007/978-3-642-16493-4_19
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http___dx.doi.org_10.1109_ICSC.2007.92 http://dx.doi.org/10.1109/ICSC.2007.92
DBLP:conf/cikm/FanizzidE07 Randomized metric induction and evolutionary conceptual clustering for semantic knowledge bases
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http___dx.doi.org_10.1145_1321440.1321450 http://dx.doi.org/10.1145/1321440.1321450
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https___doi.org_10.1007_978-3-540-85654-2_73 https://doi.org/10.1007/978-3-540-85654-2_73
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https___dblp.org_rec_bib_conf_dexa_FanizzidE08 https://dblp.org/rec/bib/conf/dexa/FanizzidE08
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https___doi.org_10.4018_jswis.2008070103 https://doi.org/10.4018/jswis.2008070103
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https___dblp.org_rec_bib_journals_ijswis_FanizzidE08 https://dblp.org/rec/bib/journals/ijswis/FanizzidE08
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https___dblp.uni-trier.de_rec_bibtex_journals_is_FanizzidE09 https://dblp.uni-trier.de/rec/bibtex/journals/is/FanizzidE09
http___dx.doi.org_10.1016_j.is.2009.03.008 http://dx.doi.org/10.1016/j.is.2009.03.008
http___www.sciencedirect.com_science_article_B6V0G-4W3HXC0-1_2_95a1535c9097d816c4ec5ad804772c4b http://www.sciencedirect.com/science/article/B6V0G-4W3HXC0-1/2/95a1535c9097d816c4ec5ad804772c4b
Fanjiang:2016:IST Search based approach to forecasting QoS attributes of web services using genetic programming
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YangSyu.html
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http___dx.doi.org_10.1016_j.infsof.2016.08.009 http://dx.doi.org/10.1016/j.infsof.2016.08.009
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YangSyu.html
Wei-LunHuang.html
http___dx.doi.org_10.1109_TSC.2020.2994136 http://dx.doi.org/10.1109/TSC.2020.2994136
Faradonbeh:2016:IJRMMS Genetic programming and gene expression programming for flyrock assessment due to mine blasting
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MasoudMonjezi.html
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http___dx.doi.org_10.1016_j.ijrmms.2016.07.028 http://dx.doi.org/10.1016/j.ijrmms.2016.07.028
http___www.sciencedirect.com_science_article_pii_S1365160916301563 http://www.sciencedirect.com/science/article/pii/S1365160916301563
faradonbeh:2016:BEGE Development of a new model for predicting flyrock distance in quarry blasting: a genetic programming technique
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http___link.springer.com_article_10.1007_s10064-016-0872-8 http://link.springer.com/article/10.1007/s10064-016-0872-8
http___dx.doi.org_10.1007_s10064-016-0872-8 http://dx.doi.org/10.1007/s10064-016-0872-8
faradonbeh:2017:EES Roadheader performance prediction using genetic programming (GP) and gene expression programming (GEP) techniques
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ChristianMoormann.html
http___link.springer.com_article_10.1007_s12665-017-6920-2 http://link.springer.com/article/10.1007/s12665-017-6920-2
http___dx.doi.org_10.1007_s12665-017-6920-2 http://dx.doi.org/10.1007/s12665-017-6920-2
faradonbeh:2018:EMaA Development of GP and GEP models to estimate an environmental issue induced by blasting operation
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DanialJahedArmaghani.html
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http___link.springer.com_article_10.1007_s10661-018-6719-y http://link.springer.com/article/10.1007/s10661-018-6719-y
http___dx.doi.org_10.1007_s10661-018-6719-y http://dx.doi.org/10.1007/s10661-018-6719-y
faradonbeh:2018:NCaA Prediction and minimization of blast-induced flyrock using gene expression programming and firefly algorithm
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EdyTonnizamMohamad.html
http___link.springer.com_article_10.1007_s00521-016-2537-8 http://link.springer.com/article/10.1007/s00521-016-2537-8
http___dx.doi.org_10.1007_s00521-016-2537-8 http://dx.doi.org/10.1007/s00521-016-2537-8
Faraoun:2006:IJCIA Genetic Programming Approach for Multi-Category Pattern Classification Applied to Network Intrusions Detection
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http___direct.bl.uk_bld_PlaceOrder.do_UIN_193825360_ETOC_RN_from_searchengine http://direct.bl.uk/bld/PlaceOrder.do?UIN=193825360&ETOC=RN&from=searchengine
http___dx.doi.org_10.1142_S1469026806001812 http://dx.doi.org/10.1142/S1469026806001812
Faraoun:2006:MJCS Securing Network Traffic Using Genetically Evolved Transformations
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Faria2010MIR Learning to rank for content-based image retrieval
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http___doi.acm.org_10.1145_1743384.1743434 http://doi.acm.org/10.1145/1743384.1743434
http___dx.doi.org_10.1145_1743384.1743434 http://dx.doi.org/10.1145/1743384.1743434
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Farinaccio:2010:gecco On the use of genetic programming for the prediction of survival in cancer
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http___dx.doi.org_10.1145_1830483.1830514 http://dx.doi.org/10.1145/1830483.1830514
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http___hdl.handle.net_10281_19257 http://hdl.handle.net/10281/19257
https___boa.unimib.it_retrieve_handle_10281_19257_23819_Phd_unimib_716388_20.pdf https://boa.unimib.it/retrieve/handle/10281/19257/23819/Phd_unimib_716388%20.pdf
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http___dx.doi.org_10.1016_j.ins.2023.119513 http://dx.doi.org/10.1016/j.ins.2023.119513
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https___rdcu.be_dDZNg https://rdcu.be/dDZNg
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http___dx.doi.org_10.1080_0951192X.2013.766937 http://dx.doi.org/10.1080/0951192X.2013.766937
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http___www.sersc.org_journals_IJAST_vol63_3.pdf http://www.sersc.org/journals/IJAST/vol63/3.pdf
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NazeehALGhatasheh.html
http___dx.doi.org_10.1007_978-3-319-11289-3 http://dx.doi.org/10.1007/978-3-319-11289-3
faris:2020:EMLT Evolving Genetic Programming Models for Predicting Quantities of Adhesive Wear in Low and Medium Carbon Steel
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AlaaSheta.html
ErtanOznergiz.html
http___dx.doi.org_10.1080_21642583.2015.1124032 http://dx.doi.org/10.1080/21642583.2015.1124032
FarithaBanu:2013:ijca An Optimized Approach of Modified BAT Algorithm to Record Deduplication
AFarithaBanu.html
CChandrasekar.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.303.552 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.303.552
http___research.ijcaonline.org_volume62_number1_pxc3884627.pdf http://research.ijcaonline.org/volume62/number1/pxc3884627.pdf
farooq:2020:AS A Comparative Study of Random Forest and Genetic Engineering Programming for the Prediction of Compressive Strength of High Strength Concrete (HSC)
FurqanFarooq.html
MuhammadNasirAmin.html
KaffayatullahKhan.html
MuhammadRehanSadiq.html
MuhammadFaisalJaved.html
FahidAslam.html
RayedAlyousef.html
https___www.mdpi.com_2076-3417_10_20_7330 https://www.mdpi.com/2076-3417/10/20/7330
http___dx.doi.org_10.3390_app10207330 http://dx.doi.org/10.3390/app10207330
farringdon:1996:in05 Random Effects in Genetic Algorithms and Programming (\& Other Genetic Algorithm Issues)
JonnyFarringdon.html
farrow:1958:Leo GP in 1958!
SteveFarrow.html
http___groups.yahoo.com_group_genetic_programming_message_2492 http://groups.yahoo.com/group/genetic_programming/message/2492
Farry:1997:MEC Applying Genetic Programming To Control Of An Artificial Arm
KristinAFarry.html
JaimeFernandez.html
RobertAbramczyk.html
MaraNovy.html
DianeJAtkins.html
http___hdl.handle.net_10161_4883 http://hdl.handle.net/10161/4883
Farry:LPSC98 Automating Asteroid Surface Composition Identification from Reflectance Spectra
KristinAFarry.html
JSGraham.html
FVilas.html
KSJarvis.html
http___www.lpi.usra.edu_meetings_LPSC98_pdf_1661.pdf http://www.lpi.usra.edu/meetings/LPSC98/pdf/1661.pdf
Farry:2009:JPO Phantom Limb Development in Congenitally Upper Limb-Deficient Individuals
KristinAFarry.html
https___journals.lww.com_jpojournal_Fulltext_2009_07000_Phantom_Limb_Development_in_Congenitally_Upper.4.aspx https://journals.lww.com/jpojournal/Fulltext/2009/07000/Phantom_Limb_Development_in_Congenitally_Upper.4.aspx
http___dx.doi.org_10.1097_JPO.0b013e3181b15dff http://dx.doi.org/10.1097/JPO.0b013e3181b15dff
FARZINPOUR:2023:cscm Efficient boosting-based algorithms for shear strength prediction of squat RC walls
AlirezaFarzinpour.html
EsmaeilMohammadiDehcheshmeh.html
VahidBroujerdian.html
SamiraNasrEsfahani.html
AHGandomi.html
http___dx.doi.org_10.1016_j.cscm.2023.e01928 http://dx.doi.org/10.1016/j.cscm.2023.e01928
https___www.sciencedirect.com_science_article_pii_S2214509523001079 https://www.sciencedirect.com/science/article/pii/S2214509523001079
Fasli2011 Learning approaches for developing successful seller strategies in dynamic supply chain management
MariaFasli.html
YevgeniyaKovalchuk.html
http___dx.doi.org_10.1016_j.ins.2011.04.014 http://dx.doi.org/10.1016/j.ins.2011.04.014
http___www.sciencedirect.com_science_article_B6V0C-52M4V3W-4_2_e88e5f17659c1d3f021a4e6052e7b965 http://www.sciencedirect.com/science/article/B6V0C-52M4V3W-4/2/e88e5f17659c1d3f021a4e6052e7b965
Fast:2010:GECCO Designing better fitness functions for automated program repair
EthanJosephFast.html
ClaireLeGoues.html
StephanieForrest.html
WestleyWeimer.html
http___www.cs.virginia.edu__weimer_p_weimer-gecco2010-preprint.pdf http://www.cs.virginia.edu/~weimer/p/weimer-gecco2010-preprint.pdf
http___dx.doi.org_10.1145_1830483.1830654 http://dx.doi.org/10.1145/1830483.1830654
Fatehnia2018 A review of Genetic Programming and Artificial Neural Network applications in pile foundations
MiladFatehnia.html
GholamrezaAmirinia.html
http___dx.doi.org_10.1186_s40703-017-0067-6 http://dx.doi.org/10.1186/s40703-017-0067-6
Fatehnia:thesis Automated Method for Determining Infiltration Rate in Soils Automated Method for Determining Infiltration Rate in Soils
MiladFatehnia.html
http___purl.flvc.org_fsu_fd_FSU_migr_etd-9327 http://purl.flvc.org/fsu/fd/FSU_migr_etd-9327
https___diginole.lib.fsu.edu_islandora_object_fsu_252950_datastream_download.pdf https://diginole.lib.fsu.edu/islandora/object/fsu:252950/datastream/download.pdf
FATHI:2018:ASC A genetic programming method for feature mapping to improve prediction of HIV-1 protease cleavage site
AbdolhosseinFathi.html
RasoolSadeghi.html
http___www.sciencedirect.com_science_article_pii_S156849461830379X http://www.sciencedirect.com/science/article/pii/S156849461830379X
http___dx.doi.org_10.1016_j.asoc.2018.06.045 http://dx.doi.org/10.1016/j.asoc.2018.06.045
https___github.com_rasool-sadeghi_Encoding-and-Prediction-of-Cleavage-of-Amino-Acid-Sequences-by-HIV-1 https://github.com/rasool-sadeghi/Encoding-and-Prediction-of-Cleavage-of-Amino-Acid-Sequences-by-HIV-1
Fathinasab:2016:Fuel On the determination of CO2-crude oil minimum miscibility pressure using genetic programming combined with constrained multivariable search methods
MohammadFathinasab.html
ShahabAyatollahi.html
http___dx.doi.org_10.1016_j.fuel.2016.01.009 http://dx.doi.org/10.1016/j.fuel.2016.01.009
http___www.sciencedirect.com_science_article_pii_S0016236116000181 http://www.sciencedirect.com/science/article/pii/S0016236116000181
Fathinasab:2015:FPE A rigorous approach to predict nitrogen-crude oil minimum miscibility pressure of pure and nitrogen mixtures
MohammadFathinasab.html
ShahabAyatollahi.html
AbdolhosseinHemmati-Sarapardeh.html
http___dx.doi.org_10.1016_j.fluid.2015.04.003 http://dx.doi.org/10.1016/j.fluid.2015.04.003
http___www.sciencedirect.com_science_article_pii_S0378381215001946 http://www.sciencedirect.com/science/article/pii/S0378381215001946
Fatima:2010:cec Co-evolutionary hyper-heuristic method for auction based scheduling
ShaheenFatima.html
MohamedBahyBader-El-Den.html
http___dx.doi.org_10.1109_CEC.2010.5586319 http://dx.doi.org/10.1109/CEC.2010.5586319
Fatima:2011:GECCO Evolving optimal agendas for package deal negotiation
ShaheenFatima.html
AhmedKattan.html
http___dx.doi.org_10.1145_2001576.2001646 http://dx.doi.org/10.1145/2001576.2001646
Fattah:thesis Volatile Oil and Gas Condensate Fluid Behavior for Material Balance Calculations and Reservoir Simulation
KhaledAbdelFattahElshreef.html
https___www.cu.edu.eg_thesis_pdf_4287_20Thesis_Volatile_20Oil_20and_20Gas_20Condensate_20Fluid_20Be.pdf https://www.cu.edu.eg/thesis_pdf/4287%20Thesis_Volatile%20Oil%20and%20Gas%20Condensate%20Fluid%20Be.pdf
https___cu.edu.eg_thesis_pdf_4287_Thesis_Volatile_Oil_and_Gas_Condensate_Fluid_Be.pdf https://cu.edu.eg/thesis_pdf/4287_Thesis_Volatile_Oil_and_Gas_Condensate_Fluid_Be.pdf
Fattah:2012:OGB A new approach calculate oil-gas ratio for gas condensate and volatile oil reservoirs using genetic programming
KhaledAbdelFattahElshreef.html
https___faculty.ksu.edu.sa_en_kelshreef_publication_217271 https://faculty.ksu.edu.sa/en/kelshreef/publication/217271
http___www.ogbus.ru_eng_2012_1.shtml http://www.ogbus.ru/eng/2012_1.shtml
http___www.ogbus.ru_eng_authors_Fattah_Fattah_2.pdf http://www.ogbus.ru/eng/authors/Fattah/Fattah_2.pdf
Fattah2012141 K-value program for crude oil components at high pressures based on PVT laboratory data and genetic programming
KhaledAbdelFattahElshreef.html
http___dx.doi.org_10.1016_j.jksues.2011.06.002 http://dx.doi.org/10.1016/j.jksues.2011.06.002
http___www.sciencedirect.com_science_article_pii_S1018363911000584 http://www.sciencedirect.com/science/article/pii/S1018363911000584
fattah:2014:JPEPT Gas-oil ratio correlation (Rs) for gas condensate using genetic programming
KhaledAbdelFattahElshreef.html
http___link.springer.com_article_10.1007_s13202-014-0098-x http://link.springer.com/article/10.1007/s13202-014-0098-x
http___dx.doi.org_10.1007_s13202-014-0098-x http://dx.doi.org/10.1007/s13202-014-0098-x
Fattah:2016:JKSUES Improved oil formation volume factor (Bo) correlation for volatile oil reservoirs: An integrated non-linear regression and genetic programming approach
KhaledAbdelFattahElshreef.html
ALashin.html
http___dx.doi.org_10.1016_j.jksues.2016.05.002 http://dx.doi.org/10.1016/j.jksues.2016.05.002
http___www.sciencedirect.com_science_article_pii_S1018363916300198 http://www.sciencedirect.com/science/article/pii/S1018363916300198
Faulkner:2017:miller Sub-Symbolic Artificial Chemistries
PenelopeFaulkner.html
MihailKrastev.html
AngelikaSebald.html
SusanStepney.html
http___dx.doi.org_10.1007_978-3-319-67997-6_14 http://dx.doi.org/10.1007/978-3-319-67997-6_14
Faunes:2012:ASE Generating model transformation rules from examples using an evolutionary algorithm
MartinFaunes.html
HouariSahraoui.html
MounirBoukadoum.html
http___doi.acm.org_10.1145_2351676.2351714 http://doi.acm.org/10.1145/2351676.2351714
http___dx.doi.org_10.1145_2351676.2351714 http://dx.doi.org/10.1145/2351676.2351714
conf/icmt/FaunesSB13 Genetic-Programming Approach to Learn Model Transformation Rules from Examples
MartinFaunes.html
HouariSahraoui.html
MounirBoukadoum.html
http___dx.doi.org_10.1007_978-3-642-38883-5_2 http://dx.doi.org/10.1007/978-3-642-38883-5_2
Faunes:2013:MODELS Automatically Searching for Metamodel Well-Formedness Rules in Examples and Counter-Examples
MartinFaunes.html
JuanCadavid.html
BenoitBaudry.html
HouariSahraoui.html
BenoitCombemale.html
http___models2013.lcc.uma.es_technical.html http://models2013.lcc.uma.es/technical.html
http___hal.inria.fr_hal-00923789 http://hal.inria.fr/hal-00923789
http___hal.inria.fr_docs_00_92_37_89_PDF_DerivingOCLInv_main.pdf http://hal.inria.fr/docs/00/92/37/89/PDF/DerivingOCLInv_main.pdf
Faunes_Martin_2013_these Improving automation in model-driven engineering using examples
MartinFaunesCarvallo.html
http___en.diro.umontreal.ca_our-department_news_une-nouvelle_news_improving-automation-in-model-driven-engineering-u-7567_ http://en.diro.umontreal.ca/our-department/news/une-nouvelle/news/improving-automation-in-model-driven-engineering-u-7567/
http___hdl.handle.net_1866_10562 http://hdl.handle.net/1866/10562
fayolle:tel-00476678 Reconstruction of 3D objects using a functional representation
Pierre-AlainFayolle.html
https___tel.archives-ouvertes.fr_tel-00476678_file_These_francaise.pdf https://tel.archives-ouvertes.fr/tel-00476678/file/These_francaise.pdf
https___tel.archives-ouvertes.fr_tel-00476678 https://tel.archives-ouvertes.fr/tel-00476678
Fayolle:2016:CD An evolutionary approach to the extraction of object construction trees from 3D point clouds
Pierre-AlainFayolle.html
AlexanderPasko.html
http___dx.doi.org_10.1016_j.cad.2016.01.001 http://dx.doi.org/10.1016/j.cad.2016.01.001
http___www.sciencedirect.com_science_article_pii_S0010448516000038 http://www.sciencedirect.com/science/article/pii/S0010448516000038
fazenda:evoapps12 A Library to Run Evolutionary Algorithms in the Cloud using MapReduce
PedroVicosoFazenda.html
JamesMcDermott.html
Una-MayO'Reilly.html
http___dx.doi.org_10.1007_978-3-642-29178-4_42 http://dx.doi.org/10.1007/978-3-642-29178-4_42
Fazli:2013:worldcomp A Solution for Forecasting PET Chips Prices for both Short-Term and Long-Term Price Forecasting, Using Genetic Programming
MojtabaSedighFazli.html
Jean-FabriceLebraty.html
http___hal-univ-lyon3.archives-ouvertes.fr_hal-00859457 http://hal-univ-lyon3.archives-ouvertes.fr/hal-00859457
http___hal-univ-lyon3.archives-ouvertes.fr_docs_00_85_94_57_PDF_Hal-fazli-lebraty.pdf http://hal-univ-lyon3.archives-ouvertes.fr/docs/00/85/94/57/PDF/Hal-fazli-lebraty.pdf
http___hal-univ-lyon3.archives-ouvertes.fr_docs_00_85_94_57_PDF_Hal-fazli-lebraty.pdf http://hal-univ-lyon3.archives-ouvertes.fr/docs/00/85/94/57/PDF/Hal-fazli-lebraty.pdf
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.394.7024 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.394.7024
http___halshs.archives-ouvertes.fr_docs_00_85_94_57_PDF_Hal-fazli-lebraty.pdf http://halshs.archives-ouvertes.fr/docs/00/85/94/57/PDF/Hal-fazli-lebraty.pdf
Fedaeff:2016:HBRC Towards the Development of Tailored Seasonal Forecasts for the Hawke's Bay Region
NavaFedaeff.html
NicolasFauchereau.html
https___www.hbrc.govt.nz_assets_Document-Library_Publications-Database_4914-RM17-01-Hawkes-Bay-Seasonal-Forecasting.pdf https://www.hbrc.govt.nz/assets/Document-Library/Publications-Database/4914-RM17-01-Hawkes-Bay-Seasonal-Forecasting.pdf
Fei:2023:CAC Automatic Generation of Energy-Efficient Dispatching Rules for Dynamic Flexible Job Shop Scheduling
BaolinFei.html
BinziXu.html
DengchaoHuang.html
YaoZhang.html
ChunWang.html
LongYang.html
http___dx.doi.org_10.1109_CAC59555.2023.10451974 http://dx.doi.org/10.1109/CAC59555.2023.10451974
Feiler:book Ultra-Large-Scale Systems -- The Software Challenge of the Future
PeterFeiler.html
RichardPGabriel.html
JohnGoodenough.html
RickLinger.html
TomLongstaff.html
RickKazman.html
MarkKlein.html
LindaNorthrop.html
DouglasCSchmidt.html
KevinSullivan.html
KurtWallnau.html
http___www.sei.cmu.edu_library_assets_ULS_Book20062.pdf http://www.sei.cmu.edu/library/assets/ULS_Book20062.pdf
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JozefFekiac.html
IvanZelinka.html
JuanCBurguilloRial.html
http___dblp2.uni-trier.de_rec_bib_conf_ecms_FekiacZB11 http://dblp2.uni-trier.de/rec/bib/conf/ecms/FekiacZB11
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.637.5825 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.637.5825
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.637.5825 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.637.5825
http___www.scs-europe.net_conf_ecms2011_ecms2011_20accepted_20papers_is_ECMS_0081.pdf http://www.scs-europe.net/conf/ecms2011/ecms2011%20accepted%20papers/is_ECMS_0081.pdf
http___www.scs-europe.net_dlib_2011_2011-0410.htm http://www.scs-europe.net/dlib/2011/2011-0410.htm
http___dx.doi.org_10.7148_2011-0410-0416 http://dx.doi.org/10.7148/2011-0410-0416
feldt:1998:eGPmsv An experiment on using genetic programming to develop multiple diverse software variants
RobertFeldt.html
https___sites.google.com_site_drfeldt_feldt_1998_experiment_gp_variants.pdf https://sites.google.com/site/drfeldt/feldt_1998_experiment_gp_variants.pdf
feldt:1998:scdGPsft A survey of the concept of diversity in genetic programming and software fault tolerance
RobertFeldt.html
feldt:1998:gmdsvGP Generating Multiple Diverse Software Versions with Genetic Programming
RobertFeldt.html
http___www.amp.york.ac.uk_external_sweden_sweden.htm http://www.amp.york.ac.uk/external/sweden/sweden.htm
http___dx.doi.org_10.1109_EURMIC.1998.711831 http://dx.doi.org/10.1109/EURMIC.1998.711831
feldt:1998:gdsvGPes Generating Diverse Software Versions with Genetic Programming: an Experimental Study
RobertFeldt.html
http___dx.doi.org_10.1049_ip-sen_19982444 http://dx.doi.org/10.1049/ip-sen:19982444
feldt:1998:midthesis Using Genetic Programming to Systematically Force Software Diversity
RobertFeldt.html
http___publications.lib.chalmers.se_publication_186704-using-genetic-programming-to-systematically-force-software-diversity http://publications.lib.chalmers.se/publication/186704-using-genetic-programming-to-systematically-force-software-diversity
feldt:1999:GPxtxsdp Genetic Programming as an Explorative Tool in Early Software Development Phases
RobertFeldt.html
http___drfeldt.googlepages.com_feldt_1999_gp_as_explorative_tool.pdf http://drfeldt.googlepages.com/feldt_1999_gp_as_explorative_tool.pdf
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_scase_1999_feldt_1999_GPxtxsdp.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/scase_1999/feldt_1999_GPxtxsdp.pdf
http___crest.cs.ucl.ac.uk_cow_50_videos_feldt_cow50_480p.mp4 http://crest.cs.ucl.ac.uk/cow/50/videos/feldt_cow50_480p.mp4
feldt:2000:feeeGP Using Factorial Experiments to Evaluate the Effect of Genetic Programming Parameters
RobertFeldt.html
PeterNordin.html
http___citeseer.ist.psu.edu_325152.html http://citeseer.ist.psu.edu/325152.html
http___drfeldt.googlepages.com_feldt_2000_factorial_exp_gp_params.pdf http://drfeldt.googlepages.com/feldt_2000_factorial_exp_gp_params.pdf
http___dx.doi.org_10.1007_978-3-540-46239-2_20 http://dx.doi.org/10.1007/978-3-540-46239-2_20
feldt:2000:gp-beagle GP-Beagle: A Benchmarking Problem Repository for the Genetic Programming Community
RobertFeldt.html
MichaelO'Neill.html
ConorRyan.html
PeterNordin.html
WilliamBLangdon.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_feldt_et_al_gecco2000lb_gpbeagle.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/feldt_et_al_gecco2000lb_gpbeagle.pdf
http___drfeldt.googlepages.com_20_paper7_gpbeagle.ps http://drfeldt.googlepages.com/20_paper7_gpbeagle.ps
http___citeseer.ist.psu.edu_302050.html http://citeseer.ist.psu.edu/302050.html
Feldt:2002:tr An Interactive Software Development Workbench based on Biomimetic Algorithms
RobertFeldt.html
http___drfeldt.googlepages.com_feldt_2002_wise_tech_report.pdf http://drfeldt.googlepages.com/feldt_2002_wise_tech_report.pdf
Feldt:thesis Biomimetic Software Engineering Techniques for Dependability
RobertFeldt.html
http___www.cse.chalmers.se__feldt_publications_feldt_2002_phdthesis.html http://www.cse.chalmers.se/~feldt/publications/feldt_2002_phdthesis.html
http___www.cse.chalmers.se__feldt_publications_feldt_2002_phd_thesis.pdf http://www.cse.chalmers.se/~feldt/publications/feldt_2002_phd_thesis.pdf
http___www.robertfeldt.net_publications_feldt_2002_phd_thesis.pdf http://www.robertfeldt.net/publications/feldt_2002_phd_thesis.pdf
http___www.robertfeldt.net_publications_feldt_2002_phdthesis.html http://www.robertfeldt.net/publications/feldt_2002_phdthesis.html
Feldt:2018:RAISE Ways of Applying Artificial Intelligence in Software Engineering
RobertFeldt.html
FranciscoGdeOliveiraNeto.html
RichardTorkar.html
https___arxiv.org_abs_1802.02033 https://arxiv.org/abs/1802.02033
http___dx.doi.org_10.1145_3194104.3194109 http://dx.doi.org/10.1145/3194104.3194109
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MohammadFeli.html
FardinAbdali-Mohammadi.html
http___link.springer.com_article_10.1007_s11760-019-01441-4 http://link.springer.com/article/10.1007/s11760-019-01441-4
http___dx.doi.org_10.1007_s11760-019-01441-4 http://dx.doi.org/10.1007/s11760-019-01441-4
FELI:2019:BSPC 12 lead electrocardiography signals compression by a new genetic programming based mathematical modeling algorithm
MohammadFeli.html
FardinAbdali-Mohammadi.html
http___dx.doi.org_10.1016_j.bspc.2019.101596 http://dx.doi.org/10.1016/j.bspc.2019.101596
http___www.sciencedirect.com_science_article_pii_S1746809419301764 http://www.sciencedirect.com/science/article/pii/S1746809419301764
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RemiFelin.html
AndreaGBTettamanzi.html
https___doi.org_10.1145_3486622.3494025 https://doi.org/10.1145/3486622.3494025
http___dx.doi.org_10.1145_3486622.3494025 http://dx.doi.org/10.1145/3486622.3494025
https___dblp.org_rec_conf_webi_FelinT21.bib https://dblp.org/rec/conf/webi/FelinT21.bib
Felin:2024:EuroGP An Algorithm Based on Grammatical Evolution for Discovering SHACL Constraints
RemiFelin.html
PierreMonnin.html
CatherineFaron.html
AndreaGBTettamanzi.html
http___dx.doi.org_10.1007_978-3-031-56957-9_11 http://dx.doi.org/10.1007/978-3-031-56957-9_11
FelipeGallon:2018:ieeeLAT ASCGP - Automatic System for Construction of Logical Circuits in FPGA using CGP
IgorFelipeGallon.html
DenisPereiradeLima.html
EmersonCarlosPedrino.html
http___dx.doi.org_10.1109_TLA.2018.8447347 http://dx.doi.org/10.1109/TLA.2018.8447347
Felix:2019:MEDICON Combining objective response detectors using genetic programming
LeonardoBonatoFelix.html
QuenazBezerraSoares.html
AntonioMauricioFerreiraLeiteMirandadeSa.html
DavidMartinSimpson.html
https___eprints.soton.ac.uk_437818_ https://eprints.soton.ac.uk/437818/
http___dx.doi.org_10.1007_978-3-030-31635-8_10 http://dx.doi.org/10.1007/978-3-030-31635-8_10
Felton:2000:MDD Survival of the Fittest in Drug Design
MichaelJFelton.html
http___pubs.acs.org_subscribe_journals_mdd_v03_i09_html_felton.html http://pubs.acs.org/subscribe/journals/mdd/v03/i09/html/felton.html
Femia:2016:CEC A Genetic Programming approach to modeling power losses of Insulate Gate Bipolar Transistors
NicolaFemia.html
MarioMigliaro.html
AntonioDellaCioppa.html
http___dx.doi.org_10.1109_CEC.2016.7744391 http://dx.doi.org/10.1109/CEC.2016.7744391
Femia:2016:SMACD In-system IGBT power loss behavioral modeling
NicolaFemia.html
MarioMigliaro.html
CristianoPastore.html
DavideToledo.html
http___dx.doi.org_10.1109_SMACD.2016.7520723 http://dx.doi.org/10.1109/SMACD.2016.7520723
journals/soco/FengOCC16 Conceptual modeling of evolvable local searches in memetic algorithms using linear genetic programming: a case study on capacitated vehicle routing problem
LiangFeng.html
Yew-SoonOng.html
CaishunChen.html
XianshunChen.html
http___dx.doi.org_10.1007_s00500-015-1971-3 http://dx.doi.org/10.1007/s00500-015-1971-3
Feng:2017:PHM-Harbin Multi-level genetic programming for fault data clustering
QiFeng.html
HaoweiLian.html
JindongZhu.html
http___dx.doi.org_10.1109_PHM.2017.8079204 http://dx.doi.org/10.1109/PHM.2017.8079204
Feng:2017:CCC Model predictive control of nonlinear dynamical systems based on genetic programming
QiFeng.html
HaoweiLian.html
JindongZhu.html
http___dx.doi.org_10.23919_ChiCC.2017.8028072 http://dx.doi.org/10.23919/ChiCC.2017.8028072
Feng:2018:CCC Trajectory Fitting of Aerial Bomb Based on Combination of Genetic Programming and ANT Colony Optimization
QiFeng.html
BaoxiGuo.html
JindongZhu.html
http___dx.doi.org_10.23919_ChiCC.2018.8482986 http://dx.doi.org/10.23919/ChiCC.2018.8482986
Feng:2021:CCC Research on UAV Adaptive Control Method Based on Genetic Programming
QiFeng.html
JianyuYu.html
http___dx.doi.org_10.23919_CCC52363.2021.9550680 http://dx.doi.org/10.23919/CCC52363.2021.9550680
XiaobingFeng:2011:ICFCSE Forecasting the RMB Exchange Regime
XiaobingFeng.html
http___dx.doi.org_10.1109_ICFCSE.2011.158 http://dx.doi.org/10.1109/ICFCSE.2011.158
feng:2011:AEM Forecasting the RMB Exchange Regime Using Genetic Programming Approach
XiaobingFeng.html
http___link.springer.com_chapter_10.1007_978-3-642-23062-2_74 http://link.springer.com/chapter/10.1007/978-3-642-23062-2_74
http___dx.doi.org_10.1007_978-3-642-23062-2_74 http://dx.doi.org/10.1007/978-3-642-23062-2_74
FENG2004750 Integrated intelligent methodology for Large-scale landslide prevention design
Xia-TingFeng.html
JohnAHudson.html
ShaojunLi.html
HongboZhao.html
WeiGao.html
YouliangZhang.html
http___www.sciencedirect.com_science_article_pii_S1365160904001777 http://www.sciencedirect.com/science/article/pii/S1365160904001777
http___dx.doi.org_10.1016_j.ijrmms.2004.03.130 http://dx.doi.org/10.1016/j.ijrmms.2004.03.130
Feng:2006:IJRMMS Identification of visco-elastic models for rocks using genetic programming coupled with the modified particle swarm optimization algorithm
Xia-TingFeng.html
Bing-RuiChen.html
ChengxiangYang.html
HuiZhou.html
XiuliDing.html
http___dx.doi.org_10.1016_j.ijrmms.2005.12.010 http://dx.doi.org/10.1016/j.ijrmms.2005.12.010
Feng:2012:CEC Evolving Frame Splitters by Genetic Programming
FengXie.html
AndySong.html
http___dx.doi.org_10.1109_CEC.2012.6256161 http://dx.doi.org/10.1109/CEC.2012.6256161
Feng:2013:CEC Detecting PCB Component Placement Defects by Genetic Programming
FengXie.html
AlexandraLUitdenbogerd.html
AndySong.html
http___dx.doi.org_10.1109_CEC.2013.6557694 http://dx.doi.org/10.1109/CEC.2013.6557694
Feng:2010:IEEC An Automatic Model Selection Algorithm Based Genetic Programming
YangheFeng.html
ChaofanDai.html
JianmaiShi.html
LiangMu.html
http___dx.doi.org_10.1109_IEEC.2010.5533243 http://dx.doi.org/10.1109/IEEC.2010.5533243
fenton:2013:USNCCM12 The Interaction between Objectives and Constraints in Evolutionary Structural Engineering Optimisation
MichaelFenton.html
CiaranMcNally.html
MichaelO'Neill.html
Fenton:2014:AC Automatic innovative truss design using grammatical evolution
MichaelFenton.html
CiaranMcNally.html
JonathanByrne.html
ErikHemberg.html
JamesMcDermott.html
MichaelO'Neill.html
http___www.sciencedirect.com_science_article_pii_S0926580513002124 http://www.sciencedirect.com/science/article/pii/S0926580513002124
http___www.human-competitive.org_sites_default_files_fenton-paper-from-2014-for-background.pdf http://www.human-competitive.org/sites/default/files/fenton-paper-from-2014-for-background.pdf
http___www.human-competitive.org_sites_default_files_fenton-text.txt http://www.human-competitive.org/sites/default/files/fenton-text.txt
http___dx.doi.org_10.1016_j.autcon.2013.11.009 http://dx.doi.org/10.1016/j.autcon.2013.11.009
fenton:phdthesis Truss Design and Optimisation Using Grammatical Evolution
MichaelFenton.html
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fenton:cec2015 Load Balancing in Heterogeneous Networks using Grammatical Evolution
MichaelFenton.html
DavidLynch.html
StepanKucera.html
HolgerClaussen.html
MichaelO'Neill.html
http___dx.doi.org_10.1109_CEC.2015.7256876 http://dx.doi.org/10.1109/CEC.2015.7256876
conf/evoW/FentonLKCO16 Evolving Coverage Optimisation Functions for Heterogeneous Networks Using Grammatical Genetic Programming
MichaelFenton.html
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StepanKucera.html
HolgerClaussen.html
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http___dx.doi.org_10.1007_978-3-319-31204-0_15 http://dx.doi.org/10.1007/978-3-319-31204-0_15
Fenton:2016:ieeeTEC Discrete Planar Truss Optimization by Node Position Variation using Grammatical Evolution
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JonathanByrne.html
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http___dx.doi.org_10.1109_TEVC.2015.2502841 http://dx.doi.org/10.1109/TEVC.2015.2502841
DBLP:journals/corr/FentonMFFOH17 PonyGE2: Grammatical Evolution in Python
MichaelFenton.html
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DavidFagan.html
StefanForstenlechner.html
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http___arxiv.org_abs_1703.08535 http://arxiv.org/abs/1703.08535
http___dx.doi.org_10.1145_3067695.3082469 http://dx.doi.org/10.1145/3067695.3082469
http___dblp.uni-trier.de_rec_bib_journals_corr_FentonMFFOH17 http://dblp.uni-trier.de/rec/bib/journals/corr/FentonMFFOH17
Fenton:ieeeTCyB Multilayer Optimization of Heterogeneous Networks Using Grammatical Genetic Programming
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StepanKucera.html
HolgerClaussen.html
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http___ieeexplore.ieee.org_abstract_document_7893786_ http://ieeexplore.ieee.org/abstract/document/7893786/
http___dx.doi.org_10.1109_TCYB.2017.2688280 http://dx.doi.org/10.1109/TCYB.2017.2688280
Fenton:2017:GECCO Multilayer Optimization of Heterogeneous Networks Using Grammatical Genetic Programming
MichaelFenton.html
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StepanKucera.html
HolgerClaussen.html
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http___doi.acm.org_10.1145_3067695.3084378 http://doi.acm.org/10.1145/3067695.3084378
http___dx.doi.org_10.1145_3067695.3084378 http://dx.doi.org/10.1145/3067695.3084378
Fenton:2017:GECCOa PonyGE2: Grammatical Evolution in Python
MichaelFenton.html
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DavidFagan.html
StefanForstenlechner.html
ErikHemberg.html
MichaelO'Neill.html
http___doi.acm.org_10.1145_3067695.3082469 http://doi.acm.org/10.1145/3067695.3082469
http___dx.doi.org_10.1145_3067695.3082469 http://dx.doi.org/10.1145/3067695.3082469
Fenton:2018:hbge Design, Architecture, and Engineering with Grammatical Evolution
MichaelFenton.html
JonathanByrne.html
ErikHemberg.html
http___dx.doi.org_10.1007_978-3-319-78717-6_13 http://dx.doi.org/10.1007/978-3-319-78717-6_13
Fenton:EC Towards Automation \& Augmentation of the Design of Schedulers for Cellular Communications Networks
MichaelFenton.html
DavidLynch.html
DavidFagan.html
StepanKucera.html
HolgerClaussen.html
MichaelO'Neill.html
https___doi.org_10.1162_evco_a_00221 https://doi.org/10.1162/evco_a_00221
http___dx.doi.org_10.1162_evco_a_00221 http://dx.doi.org/10.1162/evco_a_00221
Ferariu:2009:ICANNGA Multiobjective Genetic Programming for Nonlinear System Identification
LaviniaFerariu.html
AlinaPatelli.html
http___dx.doi.org_10.1007_978-3-642-04921-7_24 http://dx.doi.org/10.1007/978-3-642-04921-7_24
Ferariu:2009:SACI Migration-based multiobjective genetic programming for nonlinear system identification
LaviniaFerariu.html
AlinaPatelli.html
http___dx.doi.org_10.1109_SACI.2009.5136295 http://dx.doi.org/10.1109/SACI.2009.5136295
Ferariu:2010:ICCC-CONTI Graph genetic programming for hybrid neural networks design
LaviniaFerariu.html
BogdanBurlacu.html
http___dx.doi.org_10.1109_ICCCYB.2010.5491213 http://dx.doi.org/10.1109/ICCCYB.2010.5491213
Ferariu:2011:ieeeICCP Multiobjective genetic programming with adaptive clustering
LaviniaFerariu.html
BogdanBurlacu.html
http___dx.doi.org_10.1109_ICCP.2011.6047840 http://dx.doi.org/10.1109/ICCP.2011.6047840
Ferariu:2011:ICAC Multiobjective design of evolutionary hybrid neural networks
LaviniaFerariu.html
BogdanBurlacu.html
http___ieeexplore.ieee.org_xpl_articleDetails.jsp_tp__arnumber_6084926 http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6084926
Ferariu:2011:ICSTCC Multiobjective Graph Genetic Programming with Encapsulation Applied to Neural System Identification
LaviniaFerariu.html
BogdanBurlacu.html
http___ieeexplore.ieee.org_xpl_articleDetails.jsp_tp__arnumber_6085706 http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6085706
Ofria:2019:GPTP Characterizing the effects of random subsampling and dilution on Lexicase selection
AustinJFerguson.html
JoseGuadalupeHernandez.html
DanielJunghans.html
AlexanderLalejini.html
EmilyDolson.html
CharlesOfria.html
http___dx.doi.org_10.1007_978-3-030-39958-0_1 http://dx.doi.org/10.1007/978-3-030-39958-0_1
fernandes:2023:GECCO HOTGP - Higher-Order Typed Genetic Programming
MatheusCamposFernandes.html
FabricioOlivettideFranca.html
EmilioFrancesquini.html
http___dx.doi.org_10.1145_3583131.3590464 http://dx.doi.org/10.1145/3583131.3590464
oai:CiteSeerX.psu:10.1.1.453.2194 An Embodied Evolutionary System to Control a Population of Mobile Robots using Genetic Programming
AndersonLuizFernandesPerez.html
GuilhermeBittencourt.html
MauroRoisenberg.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.453.2194 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.453.2194
http___www.das.ufsc.br__gb_publications05-07_asai07.pdf http://www.das.ufsc.br/~gb/publications05-07/asai07.pdf
conf/eusflat/FernandezBJH09 Genetic Cooperative-Competitive Fuzzy Rule Based Learning Method using Genetic Programming for Highly Imbalanced Data-Sets
AlbertoFernandez.html
FranciscoJoseBerlanga.html
MariaJosedelJesus.html
FranciscoHerrera.html
http___www.eusflat.org_publications_proceedings_IFSA-EUSFLAT_2009_pdf_tema_0042.pdf http://www.eusflat.org/publications/proceedings/IFSA-EUSFLAT_2009/pdf/tema_0042.pdf
FSTG99 A Parallel Genetic Programming Tool based on PVM
FranciscoFernandezdeVega.html
JuanManuelSanchezPerez.html
MarcoTomassini.html
JuanAntonioGomez.html
http___dx.doi.org_10.1007_3-540-48158-3_30 http://dx.doi.org/10.1007/3-540-48158-3_30
FTVB00 A Distributed Computing Environment for Genetic Programming using MPI
FranciscoFernandezdeVega.html
MarcoTomassini.html
LeonardoVanneschi.html
LaurentBucher.html
http___dx.doi.org_10.1007_3-540-45255-9_44 http://dx.doi.org/10.1007/3-540-45255-9_44
fernandez:1999:SAEP Solving the Ant and the Even Parity-5 problems by means of parallel genetic programming
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MarcoTomassini.html
JuanManuelSanchezPerez.html
fernandez:2000:esmpGP Experimental Study of Multipopulation Parallel Genetic Programming
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MarcoTomassini.html
WilliamFPunch.html
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http___garage.cse.msu.edu_papers_GARAGe00-03-01.pdf http://garage.cse.msu.edu/papers/GARAGe00-03-01.pdf
http___citeseer.ist.psu.edu_445504.html http://citeseer.ist.psu.edu/445504.html
http___dx.doi.org_10.1007_978-3-540-46239-2_21 http://dx.doi.org/10.1007/978-3-540-46239-2_21
vega:2000:mgpabd Multipopulation Genetic Programing Applied to Burn Diagnosing
FranciscoFernandezdeVega.html
LauraMRoa.html
MarcoTomassini.html
JuanManuelSanchezPerez.html
http___dx.doi.org_10.1109_CEC.2000.870800 http://dx.doi.org/10.1109/CEC.2000.870800
fernandez:2000:GA Genetic programming and reconfigurable hardware: A proposal for solving the problem of placement and routing
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Fernandez:2000:GECCO Experimental Study of Isolated Multipopulation Genetic Programming
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http___gpbib.cs.ucl.ac.uk_gecco2000_GP159.pdf http://gpbib.cs.ucl.ac.uk/gecco2000/GP159.pdf
http___gpbib.cs.ucl.ac.uk_gecco2000_GP159.ps http://gpbib.cs.ucl.ac.uk/gecco2000/GP159.ps
fernandez:2000:esimgp Experimental Study of Isolated Multipopulation Genetic Programming
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MarcoTomassini.html
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http___ieeexplore.ieee.org_stamp_stamp.jsp_arnumber_00972420 http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=00972420
http___dx.doi.org_10.1109_IECON.2000.972420 http://dx.doi.org/10.1109/IECON.2000.972420
fernandez:2001:EuroGP Studying the Influence of Communication Topology and Migration on Distributed Genetic Programming
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MarcoTomassini.html
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http___dx.doi.org_10.1007_3-540-45355-5_5 http://dx.doi.org/10.1007/3-540-45355-5_5
fernandez:2001:soprvpmrp Studying the Optimal Parameter Range of Values in PADGP by Means of Real-life Problems
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MarcoTomassini.html
http___dx.doi.org_10.1109_CEC.2001.934424 http://dx.doi.org/10.1109/CEC.2001.934424
fernandez:2001:gecco A new methodology for the Placement and Routing problem based on PADGP
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JuanManuelSanchezPerez.html
MarcoTomassini.html
http___gpbib.cs.ucl.ac.uk_gecco2001_d02.pdf http://gpbib.cs.ucl.ac.uk/gecco2001/d02.pdf
fernandez:2001: Placing and Routing Circuits on FPGAs by Means of Parallel and Distributed Genetic Programming
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JuanManuelSanchezPerez.html
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http___dx.doi.org_10.1007_3-540-45443-8_18 http://dx.doi.org/10.1007/3-540-45443-8_18
fernandez:2002:EuroGP Comparing Synchronous and Asynchronous Parallel and Distributed GP Models
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GermanGaleano.html
JuanAntonioGomez.html
http___dx.doi.org_10.1007_3-540-45984-7_32 http://dx.doi.org/10.1007/3-540-45984-7_32
Fernandez:2003:GPEM An Empirical Study of Multipopulation Genetic Programming
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MarcoTomassini.html
LeonardoVanneschi.html
https___rdcu.be_c5oUz https://rdcu.be/c5oUz
http___dx.doi.org_10.1023_A_1021873026259 http://dx.doi.org/10.1023/A:1021873026259
fernandez03 The Effect of Plagues in Genetic Programming: A Study of Variable-Size Populations
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MarcoTomassini.html
http___dx.doi.org_10.1007_3-540-36599-0_29 http://dx.doi.org/10.1007/3-540-36599-0_29
fernandez:thesis Distributed Genetic Programming Models with Application to Logic Synthesis on FPGAs
FranciscoFernandezdeVega.html
http___www.researchgate.net_publication_256474009_Distributed_Genetic_Programming_Models_with_Application_to_Logic_Synthesis_on_FPGAs._PhD._Thesis._2001 http://www.researchgate.net/publication/256474009_Distributed_Genetic_Programming_Models_with_Application_to_Logic_Synthesis_on_FPGAs._PhD._Thesis._2001
fernandez:thesis:espanol Modelos de Programacion Genetica Paralela y Distribuida con aplicaciones a la Sintesis Logica en FPGAs
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devega:2003:CEMAEB Estudio de Poblaciones de tama\~no variable en Programacion Genetica
FranciscoFernandezdeVega.html
http___cum.unex.es_profes_profes_fcofdez_escritorio_investigacion_pgp_papers_maeb04.pdf http://cum.unex.es/profes/profes/fcofdez/escritorio/investigacion/pgp/papers/maeb04.pdf
fernandez:2003:sceigpbmop Saving computational effort in genetic programming by means of plagues
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MarcoTomassini.html
LeonardoVanneschi.html
http___dx.doi.org_10.1109_CEC.2003.1299924 http://dx.doi.org/10.1109/CEC.2003.1299924
fernandez:2004:eurogp Saving Effort in Parallel GP by means of Plagues
FranciscoFernandezdeVega.html
AidaMartin.html
http___dx.doi.org_10.1007_978-3-540-24650-3_25 http://dx.doi.org/10.1007/978-3-540-24650-3_25
Fernandez:2004:MM A methodology for reconfigurable hardware design based upon evolutionary computation
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JLanchares.html
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http___www.sciencedirect.com_science_article_B6V0X-4C4BWW7-1_2_815fe7c17a6207d7a31f8046e4e2a5d1 http://www.sciencedirect.com/science/article/B6V0X-4C4BWW7-1/2/815fe7c17a6207d7a31f8046e4e2a5d1
http___dx.doi.org_10.1016_j.micpro.2004.03.017 http://dx.doi.org/10.1016/j.micpro.2004.03.017
Fernandez:PPSN:2004 Control of bloat in Genetic Programming by means of the Island Model
FranciscoFernandezdeVega.html
GermanGaleano.html
JuanAntonioGomez.html
JoseLuisGuisado.html
https___rdcu.be_dc0jJ https://rdcu.be/dc0jJ
http___dx.doi.org_10.1007_b100601 http://dx.doi.org/10.1007/b100601
http___dx.doi.org_10.1007_978-3-540-30217-9_27 http://dx.doi.org/10.1007/978-3-540-30217-9_27
fernandez2004 An Evolutionary Approach to Multi-FPGAs System Synthesis
FranciscoFernandezdeVega.html
JoseIgnacioHidalgoPerez.html
JuanManuelSanchezPerez.html
JLanchares.html
http___www.springeronline.com_sgw_cda_frontpage_0_11855_5-175-22-33980449-0_00.html http://www.springeronline.com/sgw/cda/frontpage/0,11855,5-175-22-33980449-0,00.html
Fernandez:2005:pm Parallel Genetic Programming
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GiandomenicoSpezzano.html
MarcoTomassini.html
LeonardoVanneschi.html
http___eu.wiley.com_WileyCDA_WileyTitle_productCd-0471678066.html http://eu.wiley.com/WileyCDA/WileyTitle/productCd-0471678066.html
http___dx.doi.org_10.1002_0471739383.ch6 http://dx.doi.org/10.1002/0471739383.ch6
FernandezdeVega:2005:HBBAA Parallel Genetic Programming: Methodology, History, and Application to Real-Life Problems
FranciscoFernandezdeVega.html
http___www.amazon.com_Handbook-Bioinspired-Algorithms-Applications-Information_dp_1584884754 http://www.amazon.com/Handbook-Bioinspired-Algorithms-Applications-Information/dp/1584884754
http___dx.doi.org_10.1201_9781420035063.ch5 http://dx.doi.org/10.1201/9781420035063.ch5
FernandezdeVega:2007:JPDC Introduction to Special Issue on Parallel Bioinspired Algorithms
FranciscoFernandezdeVega.html
ErickCantu-Paz.html
http___portal.acm.org_citation.cfm_id_1161625.1161626_coll__dl_ACM http://portal.acm.org/citation.cfm?id=1161625.1161626&coll=&dl=ACM
http___dx.doi.org_10.1016_j.jpdc.2006.05.001 http://dx.doi.org/10.1016/j.jpdc.2006.05.001
FernandezdeVega:2008:SC Special Issue on Distributed Bioinspired Algorithms
FranciscoFernandezdeVega.html
ErickCantu-Paz.html
http___dx.doi.org_10.1007_s00500-008-0299-7 http://dx.doi.org/10.1007/s00500-008-0299-7
FernandezdeVega:pdci Parallel and Distributed Computational Intelligence
FranciscoFernandezdeVega.html
ErickCantu-Paz.html
http___www.springer.com_engineering_mathematical_book_978-3-642-10674-3 http://www.springer.com/engineering/mathematical/book/978-3-642-10674-3
http___dx.doi.org_10.1007_978-3-642-10675-0 http://dx.doi.org/10.1007/978-3-642-10675-0
conf/iwann/VegaSC11 A Preliminary Analysis and Simulation of Load Balancing Techniques Applied to Parallel Genetic Programming
FranciscoFernandezdeVega.html
JGAbengozarSanchez.html
CarlosCotta.html
http___dx.doi.org_10.1007_978-3-642-21498-1_39 http://dx.doi.org/10.1007/978-3-642-21498-1_39
Fernandez:2013:NC Customizable execution environments for evolutionary computation using BOINC + virtualization
FranciscoFernandezdeVega.html
GustavoOlague.html
LeonardoTrujillo.html
DanielLombranaGonzalezRodriguez.html
https___doi.org_10.1007_s11047-012-9343-8 https://doi.org/10.1007/s11047-012-9343-8
http___dx.doi.org_10.1007_s11047-012-9343-8 http://dx.doi.org/10.1007/s11047-012-9343-8
Fernandez:2014:GPEM Unplugging Evolutionary Algorithms: an experiment on human-algorithmic creativity
FranciscoFernandezdeVega.html
CayetanoJoseCruzGarcia.html
LNavarro.html
PatriciaHernandezRondan.html
TGallego.html
LuisEspadaIglesias.html
http___dx.doi.org_10.1007_s10710-014-9225-1 http://dx.doi.org/10.1007/s10710-014-9225-1
Fernandez:2016:PPSN A Cross-Platform Assessment of Energy Consumption in Evolutionary Algorithms Towards Energy-Aware Bioinspired Algorithms
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FranciscoChavezdelaO.html
JosefaDiazAlvarez.html
JoseAntonioGarciaMunoz.html
PedroACastilloValdivieso.html
JuanJulianMerelo.html
CarlosCotta.html
http___dx.doi.org_10.1007_978-3-319-45823-6_51 http://dx.doi.org/10.1007/978-3-319-45823-6_51
Fernandez:2019:GPTP It is time for new perspectives on how to fight bloat in GP
FranciscoFernandezdeVega.html
GustavoOlague.html
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https___arxiv.org_abs_2005.00603 https://arxiv.org/abs/2005.00603
http___dx.doi.org_10.1007_978-3-030-39958-0_2 http://dx.doi.org/10.1007/978-3-030-39958-0_2
Fernandez-de-Vega:2020:ACC Time and Individual Duration in Genetic Programming
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http___dx.doi.org_10.1109_ACCESS.2020.2975753 http://dx.doi.org/10.1109/ACCESS.2020.2975753
fernandez:1996:wrGPmsrp Waveform Recognition Using Genetic Programming: The Myoelectric Signal Recognition Problem
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http___cognet.mit.edu_sites_default_files_books_9780262315876_pdfs_9780262315876_chap8.pdf http://cognet.mit.edu/sites/default/files/books/9780262315876/pdfs/9780262315876_chap8.pdf
http___cognet.mit.edu_library_books_view_isbn_0262611279 http://cognet.mit.edu/library/books/view?isbn=0262611279
Fernandez:1998:ICRA Biologically inspired robot grasping using genetic programming
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http___dx.doi.org_10.1109_ROBOT.1998.680891 http://dx.doi.org/10.1109/ROBOT.1998.680891
Fernandez:1997:tpsets Training Period Size and Evolved Trading Systems
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fernandez:1998:nmisrGP Numeric Mutation as an Improvement to Symbolic Regression in Genetic Programming
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http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_fernandez_1998_nmisrGP.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/fernandez_1998_nmisrGP.pdf
https___rdcu.be_daynn https://rdcu.be/daynn
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fernandez:vro:gecco2004 Virtual Ramping of Genetic Programming Populations
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http___dx.doi.org_10.1007_b98645 http://dx.doi.org/10.1007/b98645
Thomas_Fernandez:thesis Novel Techniques in Genetic Programming
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http___search.proquest.com_docview_305311992 http://search.proquest.com/docview/305311992
fernandez:1999:ABIFFRG A Biologically Inspired Fitness Function for Robotic Grasping
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Fernandez:2014:CLEI Modeling and specification of the aquatic ecological emergence using genetic programming
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GustavoJoseMarcanoGarcia.html
OswaldoTeran.html
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DBLP:conf/cosecivi/Fernandez-AresGMCG14 Designing competitive bots for a real time strategy game using genetic programming
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PabloGarcia-Sanchez.html
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journals/soco/Fernandez-BlancoRGD13 Classification of signals by means of Genetic Programming
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MarcosGestalPose.html
JulianDorado.html
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https___www.mdpi.com_1999-4907_13_9_1465 https://www.mdpi.com/1999-4907/13/9/1465
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Fernandez-Leiva:2011:IWINAC Decision Tree-Based Algorithms for Implementing Bot AI in UT2004
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http___dx.doi.org_10.1007_978-3-642-21344-1_40 http://dx.doi.org/10.1007/978-3-642-21344-1_40
Fernandez-VillacanasMartin:2003:FGCS Investigation of the importance of the genotype-phenotype mapping in information retrieval
Jose-LuisFernandez-VillacanasMartin.html
MarkShackleton.html
http___www.sciencedirect.com_science_article_B6V06-478HYP6-1_2_4edc0c200ae393af0e1c9cb343c0cf5d http://www.sciencedirect.com/science/article/B6V06-478HYP6-1/2/4edc0c200ae393af0e1c9cb343c0cf5d
http___dx.doi.org_10.1016_S0167-739X_02_00108-5 http://dx.doi.org/10.1016/S0167-739X(02)00108-5
FernandezAres:2017:EC Analysing the influence of the fitness function on genetically programmed bots for a real-time strategy game
AntonioFernandez-Ares.html
AntonioMMoraGarcia.html
PabloGarcia-Sanchez.html
PedroACastilloValdivieso.html
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http___www.sciencedirect.com_science_article_pii_S1875952116300222 http://www.sciencedirect.com/science/article/pii/S1875952116300222
Ruwan_Fernando_Thesis Representations for Evolutionary Design Modelling
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http___eprints.qut.edu.au_68252_ http://eprints.qut.edu.au/68252/
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Fernando:2019:ICAC Intelligent Flood Management System
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SAHRathnaweera.html
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http___dx.doi.org_10.1109_ICAC49085.2019.9103407 http://dx.doi.org/10.1109/ICAC49085.2019.9103407
Fernlund:thesis Evolving models from observed human performance
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http___purl.fcla.edu_fcla_etd_CFE0000013 http://purl.fcla.edu/fcla/etd/CFE0000013
http___purl.fcla.edu_fcla_etd_CFE0000013_Fernlund_Hans_K_200405_PhD.pdf http://purl.fcla.edu/fcla/etd/CFE0000013/Fernlund_Hans_K_200405_PhD.pdf
fernlund:2004:lbp Using GP to Model Contextual Human Behavior - Competitive with Human Modeling Performance
HansFernlund.html
AvelinoJGonzalez.html
http___gpbib.cs.ucl.ac.uk_gecco2004_LBP015.pdf http://gpbib.cs.ucl.ac.uk/gecco2004/LBP015.pdf
fernlund:ugt:gecco2004 Using GP to Model Contextual Human Behavior
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https___www.cs.york.ac.uk_rts_docs_GECCO_2004_Conference_20proceedings_papers_3103_31030704.pdf https://www.cs.york.ac.uk/rts/docs/GECCO_2004/Conference%20proceedings/papers/3103/31030704.pdf
http___dx.doi.org_10.1007_b98645 http://dx.doi.org/10.1007/b98645
Fernlund:2004:SAWMAS The CxBR Diffusion Engine -- A Tool for Modeling Human Behavior on the Battle Field
HansFernlund.html
SvenEEklund.html
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http___www.mind.foi.se_SAWMAS_SAWMAS-2004_Papers_P10-SAWMAS-2004-H-Fernlund.pdf http://www.mind.foi.se/SAWMAS/SAWMAS-2004/Papers/P10-SAWMAS-2004-H-Fernlund.pdf
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HansFernlund.html
AvelinoJGonzalez.html
MichaelGeorgiopoulos.html
RonaldFDeMara.html
http___www.cal.ucf.edu_journal_j_fernlund_gonzalez_itsmc_04.pdf http://www.cal.ucf.edu/journal/j_fernlund_gonzalez_itsmc_04.pdf
http___dx.doi.org_10.1109_TSMCB.2005.855568 http://dx.doi.org/10.1109/TSMCB.2005.855568
Ferrante:2013:GECCO GESwarm: grammatical evolution for the automatic synthesis of collective behaviors in swarm robotics
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EdgarDuenez-Guzman.html
AliEmreTurgut.html
TomWenseleers.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.309.3738 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.309.3738
http___bio.kuleuven.be_ento_pdfs_ferrante_etal_gecco_2013.pdf http://bio.kuleuven.be/ento/pdfs/ferrante_etal_gecco_2013.pdf
http___dx.doi.org_10.1145_2463372.2463385 http://dx.doi.org/10.1145/2463372.2463385
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EliseoFerrante.html
http___bio.kuleuven.be_ento_ferrante_papers_FerrantePhD.pdf http://bio.kuleuven.be/ento/ferrante/papers/FerrantePhD.pdf
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EliseoFerrante.html
AliTurgut.html
EdgarDuenez-Guzman.html
MarcoDorigo.html
TomWenseleers.html
http___dx.doi.org_10.1371_journal.pcbi.1004273.s009 http://dx.doi.org/10.1371/journal.pcbi.1004273.s009
https___hal.archives-ouvertes.fr_hal-01378166 https://hal.archives-ouvertes.fr/hal-01378166
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http___dx.doi.org_10.1371_journal.pcbi.1004273 http://dx.doi.org/10.1371/journal.pcbi.1004273
Ferrari:2022:ICDM Multi-Objective Symbolic Regression for Data-Driven Scoring System Management
DavideFerrari.html
VeronicaGuidetti.html
FedericaMandreoli.html
http___dx.doi.org_10.1109_ICDM54844.2022.00112 http://dx.doi.org/10.1109/ICDM54844.2022.00112
Ferreira:2021:ICPR Creating Classifier Ensembles through Meta-heuristic Algorithms for Aerial Scene Classification
AlvaroRFerreira.html
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JoaoPauloPapa.html
GustavoCarneiro.html
FabioAugustoFaria.html
http___dx.doi.org_10.1109_ICPR48806.2021.9412938 http://dx.doi.org/10.1109/ICPR48806.2021.9412938
Ferreira:2000:GEP Gene Expression Programming: a New Adaptive Algorithm for Solving Problems
CandidaFerreira.html
http___www.gene-expression-programming.com_webpapers_GEP.pdf http://www.gene-expression-programming.com/webpapers/GEP.pdf
ferreira:2001:WSC6 GEP tutorial
CandidaFerreira.html
http___www.gene-expression-programming.com_webpapers_GEPtutorial.pdf http://www.gene-expression-programming.com/webpapers/GEPtutorial.pdf
ferreira:2001:wsc6Aa Gene Expression Programming in Problem Solving
CandidaFerreira.html
http___www.gene-expression-programming.com_webpapers_ferreira-WSC6.pdf http://www.gene-expression-programming.com/webpapers/ferreira-WSC6.pdf
https___link.springer.com_book_10.1007_978-1-4471-0123-9 https://link.springer.com/book/10.1007/978-1-4471-0123-9
http___www.amazon.co.uk_Soft-Computing-Industry-Recent-Applications_dp_1852335394 http://www.amazon.co.uk/Soft-Computing-Industry-Recent-Applications/dp/1852335394
ferreira:2001:CS Gene Expression Programming: A New Adaptive Algorithm for Solving Problems
CandidaFerreira.html
http___www.gene-expression-programming.com_webpapers_GEPfirst.pdf http://www.gene-expression-programming.com/webpapers/GEPfirst.pdf
http___www.complex-systems.com_abstracts_v13_i02_a01.html http://www.complex-systems.com/abstracts/v13_i02_a01.html
http___arXiv.org_abs_cs_0102027 http://arXiv.org/abs/cs/0102027
ferreira:2002:EuroGP Discovery of the Boolean Functions to the Best Density-Classification Rules Using Gene Expression Programming
CandidaFerreira.html
http___dx.doi.org_10.1007_3-540-45984-7_5 http://dx.doi.org/10.1007/3-540-45984-7_5
ferreira:2002:FEA Mutation, Transposition, and Recombination: An Analysis of the Evolutionary Dynamics
CandidaFerreira.html
http___www.gene-expression-programming.com_webpapers_ferreira-FEA02.pdf http://www.gene-expression-programming.com/webpapers/ferreira-FEA02.pdf
ferreira:2002:ASIA Combinatorial Optimization by Gene Expression Programming: Inversion Revisited
CandidaFerreira.html
http___www.gene-expression-programming.com_webpapers_ferreira-ASAI02.pdf http://www.gene-expression-programming.com/webpapers/ferreira-ASAI02.pdf
ferreira:2002:WSC Function Finding and the Creation of Numerical Constants in Gene Expression Programming
CandidaFerreira.html
http___www.gene-expression-programming.com_webpapers_Ferreira-WSC7.pdf http://www.gene-expression-programming.com/webpapers/Ferreira-WSC7.pdf
ferreira:2002:ACS Genetic Representation and Genetic Neutrality in Gene Expression Programming
CandidaFerreira.html
http___www.gene-expression-programming.com_webpapers_Ferreira-ACS2002.pdf http://www.gene-expression-programming.com/webpapers/Ferreira-ACS2002.pdf
http___www.worldscinet.com_169_05_0504_S0219525902000626.html http://www.worldscinet.com/169/05/0504/S0219525902000626.html
http___www.gepsoft.com_gep_webpapers_abstracts.asp http://www.gepsoft.com/gep/webpapers/abstracts.asp
Ferreira:book Gene Expression Programming: Mathematical Modeling by an Artificial Intelligence
CandidaFerreira.html
HreFer02 Analyzing the Founder Effect in Simulated Evolutionary Processes Using Gene Expression Programming
CandidaFerreira.html
http___www.gene-expression-programming.com_webpapers_ferreira-his02.pdf http://www.gene-expression-programming.com/webpapers/ferreira-his02.pdf
ferreira:2004:rdbic Gene expression programming and the automatic evolution of computer programs
CandidaFerreira.html
http___www.gene-expression-programming.com_gep_webpapers_abstracts.asp http://www.gene-expression-programming.com/gep/webpapers/abstracts.asp
http___dx.doi.org_10.4018_978-1-59140-312-8.ch005 http://dx.doi.org/10.4018/978-1-59140-312-8.ch005
ferreira:2004:wsc9 Designing Neural Networks Using Gene Expression Programming
CandidaFerreira.html
http___www.gene-expression-programming.com_webpapers_Ferreira-WSC9.pdf http://www.gene-expression-programming.com/webpapers/Ferreira-WSC9.pdf
http___www.gene-expression-programming.com_webpapers_abstracts.asp http://www.gene-expression-programming.com/webpapers/abstracts.asp
http___dx.doi.org_10.1007_3-540-31662-0_40 http://dx.doi.org/10.1007/3-540-31662-0_40
Ferreira:2006:GSP Automatically Defined Functions in Gene Expression Programming
CandidaFerreira.html
http___www.gene-expression-programming.com_webpapers_Ferreira-GSP2006.pdf http://www.gene-expression-programming.com/webpapers/Ferreira-GSP2006.pdf
http___dx.doi.org_10.1007_3-540-32498-4_2 http://dx.doi.org/10.1007/3-540-32498-4_2
Ferreira:book2 Gene Expression Programming: Mathematical Modeling by an Artificial Intelligence
CandidaFerreira.html
Ferreira:2014:ICINCO Genetic Programming Applied to Biped Locomotion Control with Sensory Information
CesarFerreira.html
PedroAndreMoreiradaSilva.html
JoaoAndre.html
CristinaManuelaPeixotodosSantos.html
LinoAntonioAntunesFernandesdaCosta.html
http___ieeexplore.ieee.org_xpl_articleDetails.jsp_tp__arnumber_7049752 http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=7049752
http___dx.doi.org_10.5220_0005062700530062 http://dx.doi.org/10.5220/0005062700530062
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MarcosAndreGoncalves.html
WeiguoFan.html
http___www.lbd.dcc.ufmg.br_8080_colecoes_sbbd_2008_009.pdf http://www.lbd.dcc.ufmg.br:8080/colecoes/sbbd/2008/009.pdf
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RCRezende.html
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http___dx.doi.org_10.1016_j.patrec.2010.05.015 http://dx.doi.org/10.1016/j.patrec.2010.05.015
http___www.sciencedirect.com_science_article_B6V15-504123K-4_2_d925135e9c62c6da92ea517f2451d3bf http://www.sciencedirect.com/science/article/B6V15-504123K-4/2/d925135e9c62c6da92ea517f2451d3bf
Ferreira:2019:LA-CCI A Comparative Study on the Numerical Performance of Kaizen Programming and Genetic Programming for Symbolic Regression Problems
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MartinPedemonte.html
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JimenaFerreira.html
MartinPedemonte.html
AnaITorres.html
http___dx.doi.org_10.1016_B978-0-12-818597-1.50072-2 http://dx.doi.org/10.1016/B978-0-12-818597-1.50072-2
http___www.sciencedirect.com_science_article_pii_B9780128185971500722 http://www.sciencedirect.com/science/article/pii/B9780128185971500722
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JimenaFerreira.html
AnaInesTorres.html
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http___dx.doi.org_10.1109_LA-CCI48322.2021.9769841 http://dx.doi.org/10.1109/LA-CCI48322.2021.9769841
Ferreira:2020:CEC Applying Genetic Programming to Improve Interpretability in Machine Learning Models
LeonardoAugustoFerreira.html
FredericoGadelhaGuimaraes.html
RodrigoCesarPedrosaSilva.html
http___dx.doi.org_10.1109_CEC48606.2020.9185620 http://dx.doi.org/10.1109/CEC48606.2020.9185620
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MarcoAntonioCunhaFerreira.html
RicardoTanscheit.html
MarleyMariaBernardesRebuzziVellasco.html
https___doi.org_10.2991_eusflat-19.2019.54 https://doi.org/10.2991/eusflat-19.2019.54
http___dx.doi.org_10.2991_eusflat-19.2019.54 http://dx.doi.org/10.2991/eusflat-19.2019.54
https___dblp.org_rec_conf_eusflat_FerreiraTV19.bib https://dblp.org/rec/conf/eusflat/FerreiraTV19.bib
FERREIRA:2022:omega Effective and interpretable dispatching rules for dynamic job shops via guided empirical learning
CristianeMariaSantosFerreira.html
LuisGoncaloRodriguesReisFigueira.html
PedroSanchesAmorim.html
http___dx.doi.org_10.1016_j.omega.2022.102643 http://dx.doi.org/10.1016/j.omega.2022.102643
https___www.sciencedirect.com_science_article_pii_S0305048322000512 https://www.sciencedirect.com/science/article/pii/S0305048322000512
Ferreira:2023:LA-CCI Does Kaizen Programming need a physic-informed mechanism to improve the search?
JimenaFerreira.html
AnaInesTorres.html
MartinPedemonte.html
http___dx.doi.org_10.1109_LA-CCI58595.2023.10409360 http://dx.doi.org/10.1109/LA-CCI58595.2023.10409360
ferrer:1995:bef Using Genetic Programming to Evolve Board Evaluation Functions for a Boardgame
GabrielJFerrer.html
WorthyNMartin.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_senet.ps.gz http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/senet.ps.gz
Ferretti:2021:SECDEF Deceiving Neural Source Code Classifiers: Finding Adversarial Examples with Grammatical Evolution
ClaudioFerretti.html
MartinaSaletta.html
http___dx.doi.org_10.1145_3449726.3463222 http://dx.doi.org/10.1145/3449726.3463222
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FilomenaFerrucci.html
CarmineGravino.html
RoccoOliveto.html
FedericaSarro.html
http___dx.doi.org_10.1109_SSBSE.2010.20 http://dx.doi.org/10.1109/SSBSE.2010.20
Ferrucci:2011:SSBSE How Multi-Objective Genetic Programming Is Effective for Software Development Effort Estimation?
FilomenaFerrucci.html
CarmineGravino.html
FedericaSarro.html
http___dx.doi.org_10.1007_978-3-642-23716-4_28 http://dx.doi.org/10.1007/978-3-642-23716-4_28
oai:arXiv.org:1505.01474 Retaining Experience and Growing Solutions
RobynFfrancon.html
http___arxiv.org_abs_1505.01474 http://arxiv.org/abs/1505.01474
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RobynFfrancon.html
https___www2.warwick.ac.uk_fac_cross_fac_complexity_study_emmcs_outcomes_studentprojects_ffrancon.pdf https://www2.warwick.ac.uk/fac/cross_fac/complexity/study/emmcs/outcomes/studentprojects/ffrancon.pdf
Ffrancon:2015:GECCO Memetic Semantic Genetic Programming
RobynFfrancon.html
MarcSchoenauer.html
https___hal.inria.fr_hal-01169074_document https://hal.inria.fr/hal-01169074/document
http___doi.acm.org_10.1145_2739480.2754697 http://doi.acm.org/10.1145/2739480.2754697
http___dx.doi.org_10.1145_2739480.2754697 http://dx.doi.org/10.1145/2739480.2754697
Ffrancon:2015:GECCOcomp Greedy Semantic Local Search for Small Solutions
RobynFfrancon.html
MarcSchoenauer.html
https___hal.inria.fr_UMR8623_hal-01169074v1 https://hal.inria.fr/UMR8623/hal-01169074v1
http___doi.acm.org_10.1145_2739482.2768504 http://doi.acm.org/10.1145/2739482.2768504
http___dx.doi.org_10.1145_2739482.2768504 http://dx.doi.org/10.1145/2739482.2768504
Ficko:2004:AJME Genetic algorithms : a useful optimization method for manufacturing problems
MirkoFicko.html
MihaKovacic.html
MiranBrezocnik.html
ficko:2004:JMPT Designing the layout of single- and multiple-rows flexible manufacturing system by genetic algorithms
MirkoFicko.html
MiranBrezocnik.html
JozeBalic.html
http___dx.doi.org_10.1016_j.jmatprotec.2004.09.012 http://dx.doi.org/10.1016/j.jmatprotec.2004.09.012
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MirkoFicko.html
IgorDrstvensek.html
MiranBrezocnik.html
JozeBalic.html
BostjanVaupotic.html
http___dx.doi.org_10.1016_j.jmatprotec.2005.02.013 http://dx.doi.org/10.1016/j.jmatprotec.2005.02.013
Fieldsend:2015:GECCO Strength Through Diversity: Disaggregation and Multi-Objectivisation Approaches for Genetic Programming
JonathanEFieldsend.html
AlbertoMoraglio.html
http___doi.acm.org_10.1145_2739480.2754643 http://doi.acm.org/10.1145/2739480.2754643
http___dx.doi.org_10.1145_2739480.2754643 http://dx.doi.org/10.1145/2739480.2754643
https___core.ac.uk_download_pdf_83924170.pdf https://core.ac.uk/download/pdf/83924170.pdf
https___github.com_fieldsend_gecco_2015_mogp https://github.com/fieldsend/gecco_2015_mogp
Filho:2020:CEC Explaining Symbolic Regression Predictions
RenatoMirandaFilho.html
AnisioLacerda.html
GiseleLPappa.html
http___dx.doi.org_10.1109_CEC48606.2020.9185683 http://dx.doi.org/10.1109/CEC48606.2020.9185683
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BrianAFillenwarth.html
ShankarMLSastry.html
http___dx.doi.org_10.1016_j.fuel.2015.01.029 http://dx.doi.org/10.1016/j.fuel.2015.01.029
http___www.sciencedirect.com_science_article_pii_S0016236115000435 http://www.sciencedirect.com/science/article/pii/S0016236115000435
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CyrilFillon.html
AlbertoBartoli.html
http___dx.doi.org_10.1007_11729976_2 http://dx.doi.org/10.1007/11729976_2
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CyrilFillon.html
AlbertoBartoli.html
http___dx.doi.org_10.1007_978-3-540-71605-1_16 http://dx.doi.org/10.1007/978-3-540-71605-1_16
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CyrilFillon.html
AlbertoBartoli.html
http___dx.doi.org_10.1109_CEC.2007.4424450 http://dx.doi.org/10.1109/CEC.2007.4424450
Fine:2017:GPTP Exploiting Subprograms in Genetic Programming
StevenBFine.html
ErikHemberg.html
KrzysztofKrawiec.html
Una-MayO'Reilly.html
https___link.springer.com_chapter_10.1007_978-3-319-90512-9_1 https://link.springer.com/chapter/10.1007/978-3-319-90512-9_1
http___dx.doi.org_10.1007_978-3-319-90512-9_1 http://dx.doi.org/10.1007/978-3-319-90512-9_1
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JennyRoseFinkel.html
http___www.genetic-programming.org_sp2003_Finkel.pdf http://www.genetic-programming.org/sp2003/Finkel.pdf
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AlessandraFiore.html
LuigiBerardi.html
GiuseppeCarloMarano.html
http___dx.doi.org_10.1016_j.advengsoft.2011.11.001 http://dx.doi.org/10.1016/j.advengsoft.2011.11.001
http___www.sciencedirect.com_science_article_pii_S0965997811003036 http://www.sciencedirect.com/science/article/pii/S0965997811003036
Fiore:2014:ace Evolutionary Modeling to Evaluate the Shear Behavior of Circular Reinforced Concrete Columns
AlessandraFiore.html
GiuseppeCarloMarano.html
DanieleBLaucelli.html
PietroMonaco.html
http___downloads.hindawi.com_journals_ace_2014_684256.pdf http://downloads.hindawi.com/journals/ace/2014/684256.pdf
http___dx.doi.org_10.1155_2014_684256. http://dx.doi.org/10.1155/2014/684256.
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HiramAFirpi.html
ErikGoodman.html
JavierEchauz.html
http___dx.doi.org_10.1007_978-3-540-31989-4_29 http://dx.doi.org/10.1007/978-3-540-31989-4_29
http___dx.doi.org_10.1007_b107383 http://dx.doi.org/10.1007/b107383
1068082 Epileptic seizure detection by means of genetically programmed artificial features
HiramAFirpi.html
ErikGoodman.html
JavierEchauz.html
http___gpbib.cs.ucl.ac.uk_gecco2005_docs_p461.pdf http://gpbib.cs.ucl.ac.uk/gecco2005/docs/p461.pdf
http___dx.doi.org_10.1145_1068009.1068082 http://dx.doi.org/10.1145/1068009.1068082
Firpi:thesis On prediction and detection of epileptic seizures by means of genetic programming artificial features
HiramAFirpi.html
https___search.proquest.com_docview_305459616 https://search.proquest.com/docview/305459616
FGE:OPE:06 On Prediction of Epileptic Seizures by Means of Genetic Programming Artificial Features
HiramAFirpi.html
ErikGoodman.html
JavierEchauz.html
http___dx.doi.org_10.1007_s10439-005-9039-7 http://dx.doi.org/10.1007/s10439-005-9039-7
Firpi:2007:BE Epileptic Seizure Detection Using Genetically Programmed Artificial Features
HiramAFirpi.html
ErikGoodman.html
JavierEchauz.html
http___dx.doi.org_10.1109_TBME.2006.886936 http://dx.doi.org/10.1109/TBME.2006.886936
Firpi2008558 Genetically programmed-based artificial features extraction applied to fault detection
HiramAFirpi.html
GeorgeVachtsevanos.html
http___dx.doi.org_10.1016_j.engappai.2007.06.004 http://dx.doi.org/10.1016/j.engappai.2007.06.004
http___www.sciencedirect.com_science_article_B6V2M-4PG2RVD-1_2_83e1929229a124416738c8ec59137146 http://www.sciencedirect.com/science/article/B6V2M-4PG2RVD-1/2/83e1929229a124416738c8ec59137146
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EmilyFirst.html
YuriyBrun.html
ArjunGuha.html
https___people.cs.umass.edu__brun_pubs_pubs_First20oopsla.pdf https://people.cs.umass.edu/~brun/pubs/pubs/First20oopsla.pdf
https___doi.org_10.1145_3428299 https://doi.org/10.1145/3428299
http___dx.doi.org_10.1145_3428299 http://dx.doi.org/10.1145/3428299
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First:2022:ICSE Diversity-Driven Automated Formal Verification
EmilyFirst.html
YuriyBrun.html
https___people.cs.umass.edu__brun_pubs_pubs_First22icse.pdf https://people.cs.umass.edu/~brun/pubs/pubs/First22icse.pdf
http___dx.doi.org_10.1145_3510003.3510138 http://dx.doi.org/10.1145/3510003.3510138
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RaphaelFischer.html
MatthiasJakobs.html
SaschaMuecke.html
KatharinaMorik.html
http___ceur-ws.org_Vol-2738 http://ceur-ws.org/Vol-2738
http___ceur-ws.org_Vol-2738_LWDA2020_paper_8.pdf http://ceur-ws.org/Vol-2738/LWDA2020_paper_8.pdf
Fischer:RN/2018/12 Reinforcement learning in financial markets - a survey
ThomasGFischer.html
https___ideas.repec.org_p_zbw_iwqwdp_122018.html https://ideas.repec.org/p/zbw/iwqwdp/122018.html
https___www.econstor.eu_bitstream_10419_183139_1_1032172355.pdf https://www.econstor.eu/bitstream/10419/183139/1/1032172355.pdf
https___econpapers.repec.org_paper_zbwiwqwdp_122018.htm https://econpapers.repec.org/paper/zbwiwqwdp/122018.htm
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ThomasGFischer.html
https___www.statistik.rw.fau.de_forschung_dissertationen-habilitationen_ https://www.statistik.rw.fau.de/forschung/dissertationen-habilitationen/
http___d-nb.info_1187154571 http://d-nb.info/1187154571
https___hbz-ulbms.primo.exlibrisgroup.com_permalink_49HBZ_ULM_1orud0a_alma991028011369706449 https://hbz-ulbms.primo.exlibrisgroup.com/permalink/49HBZ_ULM/1orud0a/alma991028011369706449
https___dblp.org_rec_phd_dnb_Fischer19.bib https://dblp.org/rec/phd/dnb/Fischer19.bib
Fiser:2010:DDECS On logic synthesis of conventionally hard to synthesize circuits using genetic programming
PetrFiser.html
JanSchmidt.html
ZdenekVasicek.html
LukasSekanina.html
http___dx.doi.org_10.1109_DDECS.2010.5491755 http://dx.doi.org/10.1109/DDECS.2010.5491755
Fister:2014:IREHM Soft Computing in Earthquake Engineering: a Short Overview
IztokFister.html
AHGandomi.html
IztokFisterJr.html
MehdiMousavi.html
AliFarhadi.html
http___www.iztok-jr-fister.eu_static_publications_19.pdf http://www.iztok-jr-fister.eu/static/publications/19.pdf
http___www.praiseworthyprize.org_jsm_index.php_journal_irehm_page_article_op_view_path___15798 http://www.praiseworthyprize.org/jsm/index.php?journal=irehm&page=article&op=view&path[]=15798
Fitch:2022:AERO Genetic Programming + Multi-Agent Reinforcement Learning: Hybrid Approaches for Decision Processes
NatalieFitch.html
DanielClancy.html
http___dx.doi.org_10.1109_AERO53065.2022.9843637 http://dx.doi.org/10.1109/AERO53065.2022.9843637
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JeannieFitzgerald.html
ConorRyan.html
http___dx.doi.org_10.1145_2001576.2001758 http://dx.doi.org/10.1145/2001576.2001758
DBLP:conf/ichit/FitzgeraldR11 Validation Sets for Evolutionary Curtailment with Improved Generalisation
JeannieFitzgerald.html
ConorRyan.html
http___dx.doi.org_10.1007_978-3-642-24082-9_35 http://dx.doi.org/10.1007/978-3-642-24082-9_35
Fitzgerald:2011:SGAI Validation Sets, Genetic Programming and Generalisation
JeannieFitzgerald.html
ConorRyan.html
http___dx.doi.org_10.1007_978-1-4471-2318-7_6 http://dx.doi.org/10.1007/978-1-4471-2318-7_6
Fitzgerald:2012:GECCO Exploring boundaries: optimising individual class boundaries for binary classification problem
JeannieFitzgerald.html
ConorRyan.html
http___dx.doi.org_10.1145_2330163.2330267 http://dx.doi.org/10.1145/2330163.2330267
Fitzgerald:2013:mendel A Hybrid Approach to the Problem of Class Imbalance
JeannieFitzgerald.html
ConorRyan.html
https___www.researchgate.net_publication_264670826_A_Hybrid_Approach_to_the_Problem_of_Class_Imbalance_ev_prf_pub https://www.researchgate.net/publication/264670826_A_Hybrid_Approach_to_the_Problem_of_Class_Imbalance?ev=prf_pub
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JeannieFitzgerald.html
RMuhammadAtifAzad.html
ConorRyan.html
http___dx.doi.org_10.1145_2464576.2464647 http://dx.doi.org/10.1145/2464576.2464647
Fitzgerald:2013:GECCOcompa A bootstrapping approach to reduce over-fitting in genetic programming
JeannieFitzgerald.html
RMuhammadAtifAzad.html
ConorRyan.html
http___dx.doi.org_10.1145_2464576.2482690 http://dx.doi.org/10.1145/2464576.2482690
Fitzgerald:2013:nabic Individualized self-adaptive genetic operators with adaptive selection in Genetic Programming
JeannieFitzgerald.html
ConorRyan.html
http___www.mirlabs.net_nabic13_proceedings_html_paper55.xml http://www.mirlabs.net/nabic13/proceedings/html/paper55.xml
http___dx.doi.org_10.1109_NaBIC.2013.6617868 http://dx.doi.org/10.1109/NaBIC.2013.6617868
Fitzgerald:2014:cicsyn Selection Bias and Generalisation Error in Genetic Programming
JeannieFitzgerald.html
ConorRyan.html
https___edas.info_showPaper.php_m_1569958507 https://edas.info/showPaper.php?m=1569958507
https___www.researchgate.net_publication_264671201_Selection_Bias_and_Generalisation_Error_in_Genetic_Programming_ev_prf_pub https://www.researchgate.net/publication/264671201_Selection_Bias_and_Generalisation_Error_in_Genetic_Programming?ev=prf_pub
http___www.researchgate.net_profile_Jeannie_Fitzgerald_publication_264671201_long_url_1.pdf http://www.researchgate.net/profile/Jeannie_Fitzgerald/publication/264671201_long_url_1.pdf
https___core.ac.uk_download_pdf_59356329.pdf https://core.ac.uk/download/pdf/59356329.pdf
Fitzgerald:2014:GECCO On size, complexity and generalisation error in GP
JeannieFitzgerald.html
ConorRyan.html
http___doi.acm.org_10.1145_2576768.2598346 http://doi.acm.org/10.1145/2576768.2598346
http___dx.doi.org_10.1145_2576768.2598346 http://dx.doi.org/10.1145/2576768.2598346
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JeannieFitzgerald.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_jmfitz-thesis.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/jmfitz-thesis.pdf
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JeannieFitzgerald.html
ConorRyan.html
http___content.iospress.com_download_international-journal-of-hybrid-intelligent-systems_his00199_id_international-journal-of-hybrid-intelligent-systems_2Fhis00199 http://content.iospress.com/download/international-journal-of-hybrid-intelligent-systems/his00199?id=international-journal-of-hybrid-intelligent-systems%2Fhis00199
http___dx.doi.org_10.3233_HIS-140199 http://dx.doi.org/10.3233/HIS-140199
http___dx.doi.org_10.3233_HIS-140199 http://dx.doi.org/10.3233/HIS-140199
Fitzgerald:2015:GECCO An Integrated Approach to Stage 1 Breast Cancer Detection
JeannieFitzgerald.html
ConorRyan.html
DavidMedernach.html
KrzysztofKrawiec.html
http___doi.acm.org_10.1145_2739480.2754761 http://doi.acm.org/10.1145/2739480.2754761
http___dx.doi.org_10.1145_2739480.2754761 http://dx.doi.org/10.1145/2739480.2754761
Fitzgerald:2015:ECTA GEML: Evolutionary Unsupervised and Semi-Supervised Learning of Multi-class Classification with Grammatical Evolution
JeannieFitzgerald.html
RMuhammadAtifAzad.html
ConorRyan.html
http___www.researchgate.net_publication_283055687_GEML_Evolutionary_Unsupervised_and_Semi-Supervised_Learning_of_Multi-class_Classification_with_Grammatical_Evolution http://www.researchgate.net/publication/283055687_GEML_Evolutionary_Unsupervised_and_Semi-Supervised_Learning_of_Multi-class_Classification_with_Grammatical_Evolution
http___ieeexplore.ieee.org_document_7529309_ http://ieeexplore.ieee.org/document/7529309/
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JeannieFitzgerald.html
ConorRyan.html
https___www.researchgate.net_profile_Jeannie_Fitzgerald_publication_283055763_For_Sale_or_Wanted_Directed_Crossover_in_Adjudicated_Space_ https://www.researchgate.net/profile/Jeannie_Fitzgerald/publication/283055763_For_Sale_or_Wanted_Directed_Crossover_in_Adjudicated_Space/
https___www.researchgate.net_profile_Jeannie_Fitzgerald_publication_283055763_For_Sale_or_Wanted_Directed_Crossover_in_Adjudicated_Space_FSOW.pdf https://www.researchgate.net/profile/Jeannie_Fitzgerald/publication/283055763_For_Sale_or_Wanted_Directed_Crossover_in_Adjudicated_Space/FSOW.pdf
http___ieeexplore.ieee.org_xpl_articleDetails.jsp_tp__arnumber_7529310 http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=7529310
Fitzgerald:2015:ECTArevised GEML: A Grammatical Evolution, Machine Learning Approach to Multi-class Classification
JeannieFitzgerald.html
RMuhammadAtifAzad.html
ConorRyan.html
http___dx.doi.org_10.1007_978-3-319-48506-5_7 http://dx.doi.org/10.1007/978-3-319-48506-5_7
Fitzgerald:2015:FSOWrevised Adjudicated GP: A Behavioural Approach to Selective Breeding
JeannieFitzgerald.html
ConorRyan.html
http___dx.doi.org_10.1007_978-3-319-48506-5_8 http://dx.doi.org/10.1007/978-3-319-48506-5_8
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JakeFitzsimmons.html
PabloMoscato.html
http___dx.doi.org_10.1109_AI4I.2018.8665684 http://dx.doi.org/10.1109/AI4I.2018.8665684
Flack:mastersthesis Evolution of Architectural Floor Plans
RobertWJFlack.html
http___dr.library.brocku.ca_handle_10464_3409 http://dr.library.brocku.ca/handle/10464/3409
http___dr.library.brocku.ca_bitstream_handle_10464_3409_Brock_Flack_Robert_2011.pdf http://dr.library.brocku.ca/bitstream/handle/10464/3409/Brock_Flack_Robert_2011.pdf
http___www.cosc.brocku.ca__bross_FloorPlans_ http://www.cosc.brocku.ca/~bross/FloorPlans/
http___robgp.sourceforge.net_ http://robgp.sourceforge.net/
flannery:2000:TETBPML The Evolution of Traffic Behavior Patterns on a Macroscopic Level
MatthewFlannery.html
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OliverFlasch.html
ThomasBartz-Beielstein.html
PatrickKoch.html
WolfgangKonen.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.301.5641 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.301.5641
http___lwibs01.gm.fh-koeln.de_blogs_konen_publications-wolfgang-konen__tgid_20_yr_type_auth http://lwibs01.gm.fh-koeln.de/blogs/konen/publications-wolfgang-konen/?tgid=20&yr&type&auth
http___www.gm.fh-koeln.de__bartz_Papers.d_Flas09a.pdf http://www.gm.fh-koeln.de/~bartz/Papers.d/Flas09a.pdf
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OliverFlasch.html
ThomasBartz-Beielstein.html
PatrickKoch.html
WolfgangKonen.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.301.5035 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.301.5035
http___www.gm.fh-koeln.de__bartz_Papers.d_Flas10f.pdf http://www.gm.fh-koeln.de/~bartz/Papers.d/Flas10f.pdf
http___lwibs01.gm.fh-koeln.de_blogs_konen_publications-wolfgang-konen__tgid_20_yr_type_auth http://lwibs01.gm.fh-koeln.de/blogs/konen/publications-wolfgang-konen/?tgid=20&yr&type&auth
Flasch:2010:geccocomp RGP: an open source genetic programming system for the R environment
OliverFlasch.html
OlafMersmann.html
ThomasBartz-Beielstein.html
http___dx.doi.org_10.1145_1830761.1830867 http://dx.doi.org/10.1145/1830761.1830867
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OliverFlasch.html
ThomasBartz-Beielstein.html
ArturDavtyan.html
PatrickKoch.html
WolfgangKonen.html
TosinDanielOyetoyan.html
MichaelTamutan.html
http___dx.doi.org_10.1109_CEC.2010.5586172 http://dx.doi.org/10.1109/CEC.2010.5586172
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OliverFlasch.html
ThomasBartz-Beielstein.html
http___dx.doi.org_10.1007_978-1-4614-6846-2_11 http://dx.doi.org/10.1007/978-1-4614-6846-2_11
http___dx.doi.org_10.1007_978-1-4614-6846-2_11 http://dx.doi.org/10.1007/978-1-4614-6846-2_11
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OliverFlasch.html
MartinaFriese.html
Ekaterina_Katya_Vladislavleva.html
ThomasBartz-Beielstein.html
OlafMersmann.html
BorisNaujoks.html
JoergStork.html
MartinZaefferer.html
http___dx.doi.org_10.1007_978-3-642-37192-9_18 http://dx.doi.org/10.1007/978-3-642-37192-9_18
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OliverFlasch.html
https___eldorado.tu-dortmund.de_bitstream_2003_34162_1_Dissertation.pdf https://eldorado.tu-dortmund.de/bitstream/2003/34162/1/Dissertation.pdf
http___hdl.handle.net_2003_34162 http://hdl.handle.net/2003/34162
http___dx.doi.org_10.17877_DE290R-7807 http://dx.doi.org/10.17877/DE290R-7807
Fleck:2021:GPTP Grammar-based Vectorial Genetic Programming for Symbolic Regression
PhilippFleck.html
StephanMWinkler.html
MichaelKommenda.html
MichaelAffenzeller.html
http___dx.doi.org_10.1007_978-981-16-8113-4_2 http://dx.doi.org/10.1007/978-981-16-8113-4_2
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PhilippFleck.html
StephanMWinkler.html
MichaelKommenda.html
MichaelAffenzeller.html
https___doi.org_10.48550_arXiv.2303.03200 https://doi.org/10.48550/arXiv.2303.03200
http___dx.doi.org_10.48550_arXiv.2303.03200 http://dx.doi.org/10.48550/arXiv.2303.03200
https___dblp.org_rec_journals_corr_abs-2303-03200.bib https://dblp.org/rec/journals/corr/abs-2303-03200.bib
fleck:2023:GECCOcomp Evolutionary Algorithms for Segment Optimization in Vectorial GP
PhilippFleck.html
StephanMWinkler.html
MichaelKommenda.html
SaraSilva.html
LeonardoVanneschi.html
MichaelAffenzeller.html
http___dx.doi.org_10.1145_3583133.3590668 http://dx.doi.org/10.1145/3583133.3590668
flight:1997:psGPtmt The Use of Program State by a Genetic Program to Track a Moving Target
JohnFlight.html
Flister:1997:rational The Deceptive Problem of Rational Trading and Negotiation Strategies in Artificial Economic Communities
ErikDFlister.html
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AlexandruFloares.html
http___dx.doi.org_10.1007_11676935_22 http://dx.doi.org/10.1007/11676935_22
Floares:2006:CEC Computation Intelligence Tools for Modeling and Controlling Pharmacogenomic Systems: Genetic Programming and Neural Networks
AlexandruFloares.html
http___dx.doi.org_10.1109_IJCNN.2006.246876 http://dx.doi.org/10.1109/IJCNN.2006.246876
Floares:2008:ijcnn Automatic Inferring Drug Gene Regulatory Networks with Missing Information Using Neural Networks and Genetic Programming
AlexandruFloares.html
http___dx.doi.org_10.1109_IJCNN.2008.4634233 http://dx.doi.org/10.1109/IJCNN.2008.4634233
Floares2008379 A reverse engineering algorithm for neural networks, applied to the subthalamopallidal network of basal ganglia
AlexandruFloares.html
http___dx.doi.org_10.1016_j.neunet.2007.12.017 http://dx.doi.org/10.1016/j.neunet.2007.12.017
http___www.sciencedirect.com_science_article_B6T08-4RDR1B6-1_2_5aae1d094dbe3fd190fbb3fe9acebe63 http://www.sciencedirect.com/science/article/B6T08-4RDR1B6-1/2/5aae1d094dbe3fd190fbb3fe9acebe63
Floares:2009:IJCNN A neural networks algorithm for inferring drug gene regulatory networks from microarray time-series with missing transcription factors information
AlexandruFloares.html
http___dx.doi.org_10.1109_IJCNN.2009.5179081 http://dx.doi.org/10.1109/IJCNN.2009.5179081
Floares:2010:SOFA Mining knowledge and data to discover intelligent molecular biomarkers: Prostate cancer i-Biomarkers
AlexandruFloares.html
OvidiuBalacescu.html
CarmenFloares.html
LoredanaBalacescu.html
TiberiuPopa.html
OanaVermesan.html
http___dx.doi.org_10.1109_SOFA.2010.5565613 http://dx.doi.org/10.1109/SOFA.2010.5565613
Floares:2012:CI4 Reverse Engineering Networks as Ordinary Differential Equations Systems
AlexandruFloares.html
AdrianaBirlutiu.html
https___www.novapublishers.com_catalog_product_info.php_products_id_34205 https://www.novapublishers.com/catalog/product_info.php?products_id=34205
Floares:2014:shbBNI Inferring Transcription Networks from Data
AlexandruFloares.html
IrinaLuludachi.html
http___www.springer.com_engineering_computational_intelligence_and_complexity_book_978-3-642-30573-3 http://www.springer.com/engineering/computational+intelligence+and+complexity/book/978-3-642-30573-3
http___dx.doi.org_10.1007_978-3-642-30574-0_20 http://dx.doi.org/10.1007/978-3-642-30574-0_20
viento Wind Prediction using Genetic Algorithms and Gene Expression Programming
JuanJFlores.html
MarioGraffGuerrero.html
ErasmoCadenas.html
http___www.amse-modeling.com_ind2.php_cont_03per_menu__menu3.php_pag__datosartic.php_vis_1_editart_1_id_art_1738 http://www.amse-modeling.com/ind2.php?cont=03per&menu=/menu3.php&pag=/datosartic.php&vis=1&editart=1&id_art=1738
http___lsc.fie.umich.mx__juan_PS_wind.pdf http://lsc.fie.umich.mx/~juan/PS/wind.pdf
conf/iscis/FloresG05 System Identification Using Genetic Programming and Gene Expression Programming
JuanJFlores.html
MarioGraffGuerrero.html
http___dx.doi.org_10.1007_11569596 http://dx.doi.org/10.1007/11569596
flores:2019:Energies Soft Computing Methods with Phase Space Reconstruction for Wind Speed Forecasting--A Performance Comparison
JuanJFlores.html
JoseRCedenoGonzalez.html
HectorRodriguez.html
MarioGraffGuerrero.html
RodrigoLopez-Farias.html
FelixCalderon.html
https___www.mdpi.com_1996-1073_12_18_3545 https://www.mdpi.com/1996-1073/12/18/3545
http___dx.doi.org_10.3390_en12183545 http://dx.doi.org/10.3390/en12183545
Flores-Campana:2020:ACC On the Fusion of Text Detection Results: A Genetic Programming Approach
JoseLFloresCampana.html
AllanPinto.html
ManuelAlbertoCordovaNeira.html
LuisGustavoLorgusDecker.html
AndrezaAparecidadosSantos.html
JhonatasSConceicao.html
RicardodaSilvaTorres.html
http___dx.doi.org_10.1109_ACCESS.2020.2987869 http://dx.doi.org/10.1109/ACCESS.2020.2987869
DBLP:conf/iciai/FofanahG20 Dual Watermarking for Protection of Medical Images based on Watermarking of Frequency Domain and Genetic Programming
AbdulJosephFofanah.html
TiegangGao.html
https___doi.org_10.1145_3390557.3394308 https://doi.org/10.1145/3390557.3394308
http___dx.doi.org_10.1145_3390557.3394308 http://dx.doi.org/10.1145/3390557.3394308
https___dblp.org_rec_conf_iciai_FofanahG20.bib https://dblp.org/rec/conf/iciai/FofanahG20.bib
Fogel199582 Advances in genetic programming : Kenneth E. Kinnear, Jr., (ed.), MIT Press, Cambridge, MA, 1994, 518 pp., \$45.00
DavidBFogel.html
http___dx.doi.org_10.1016_0303-2647_95_90007-1 http://dx.doi.org/10.1016/0303-2647(95)90007-1
vuwlgp-report VUWLGP - An ANSI C++ Linear Genetic Programming Package
ChristopherFogelberg.html
MengjieZhang.html
http___www.syntilect.com_cgf_body00040.php http://www.syntilect.com/cgf/body00040.php
http___www.mcs.vuw.ac.nz_comp_Publications_CS-TR-05-08.abs.html http://www.mcs.vuw.ac.nz/comp/Publications/CS-TR-05-08.abs.html
http___www.mcs.vuw.ac.nz_comp_Publications_archive_CS-TR-05_CS-TR-05-8.pdf http://www.mcs.vuw.ac.nz/comp/Publications/archive/CS-TR-05/CS-TR-05-8.pdf
conf/ausai/FogelbergZ05 Linear Genetic Programming for Multi-class Object Classification
ChristopherFogelberg.html
MengjieZhang.html
http___dx.doi.org_10.1007_11589990_39 http://dx.doi.org/10.1007/11589990_39
Fogelson:2008:gecco A formulation for the relative permittivity of water and steam to high temperatures and pressures evolved using genetic programming
SergeyVFogelson.html
WalterDPotter.html
http___gpbib.cs.ucl.ac.uk_gecco2008_docs_p1335.pdf http://gpbib.cs.ucl.ac.uk/gecco2008/docs/p1335.pdf
http___dx.doi.org_10.1145_1389095.1389351 http://dx.doi.org/10.1145/1389095.1389351
folino:1999:ACGPAC A Cellular Genetic Programming Approach to Classification
GianluigiFolino.html
ClaraPizzuti.html
GiandomenicoSpezzano.html
http___citeseer.ist.psu.edu_328823.html http://citeseer.ist.psu.edu/328823.html
http___gpbib.cs.ucl.ac.uk_gecco1999_GP-427.pdf http://gpbib.cs.ucl.ac.uk/gecco1999/GP-427.pdf
http___gpbib.cs.ucl.ac.uk_gecco1999_GP-427.ps http://gpbib.cs.ucl.ac.uk/gecco1999/GP-427.ps
folino:2000:GPSAhmeDT Genetic Programming and Simulated Annealing: A Hybrid Method to Evolve Decision Trees
GianluigiFolino.html
ClaraPizzuti.html
GiandomenicoSpezzano.html
http___www.icar.cnr.it_pizzuti_eurogp00.ps http://www.icar.cnr.it/pizzuti/eurogp00.ps
http___citeseer.ist.psu.edu_326715.html http://citeseer.ist.psu.edu/326715.html
http___dx.doi.org_10.1007_978-3-540-46239-2_22 http://dx.doi.org/10.1007/978-3-540-46239-2_22
folino:2000:DPS Scalable Classification of Large Data Sets by Parallel Genetic Programming
GianluigiFolino.html
ClaraPizzuti.html
GiandomenicoSpezzano.html
http___link.springer.com_chapter_10.1007_978-1-4615-4489-0_11 http://link.springer.com/chapter/10.1007/978-1-4615-4489-0_11
http___dx.doi.org_10.1007_978-1-4615-4489-0_11 http://dx.doi.org/10.1007/978-1-4615-4489-0_11
folino:2001:EuroGP CAGE: A Tool for Parallel Genetic Programming Applications
GianluigiFolino.html
ClaraPizzuti.html
GiandomenicoSpezzano.html
http___www.icar.cnr.it_pizzuti_eurogp01.ps http://www.icar.cnr.it/pizzuti/eurogp01.ps
http___dx.doi.org_10.1007_3-540-45355-5_6 http://dx.doi.org/10.1007/3-540-45355-5_6
folino:2001:TAI Parallel genetic programming for decision tree induction
GianluigiFolino.html
ClaraPizzuti.html
GiandomenicoSpezzano.html
http___www.icar.cnr.it_pizzuti_ictai01.ps http://www.icar.cnr.it/pizzuti/ictai01.ps
Folino:2001:ieeeTEVC Parallel hybrid method for SAT that couples genetic algorithms and local search
GianluigiFolino.html
ClaraPizzuti.html
GiandomenicoSpezzano.html
http___dx.doi.org_10.1109_4235.942527 http://dx.doi.org/10.1109/4235.942527
folino:2002:euromicro Improving induction decision trees with parallel genetic programming
GianluigiFolino.html
ClaraPizzuti.html
GiandomenicoSpezzano.html
http___dx.doi.org_10.1109_EMPDP.2002.994264 http://dx.doi.org/10.1109/EMPDP.2002.994264
folino:2003:tec A Scalable Cellular Implementation of Parallel Genetic Programming
GianluigiFolino.html
ClaraPizzuti.html
GiandomenicoSpezzano.html
http___dx.doi.org_10.1109_TEVC.2002.806168 http://dx.doi.org/10.1109/TEVC.2002.806168
folino03 Ensemble techniques for Parallel Genetic Programming based Classifiers
GianluigiFolino.html
ClaraPizzuti.html
GiandomenicoSpezzano.html
http___dx.doi.org_10.1007_3-540-36599-0_6 http://dx.doi.org/10.1007/3-540-36599-0_6
folino:2003:daicamgp Diversity analysis in cellular and multipopulation genetic programming
GianluigiFolino.html
ClaraPizzuti.html
GiandomenicoSpezzano.html
LeonardoVanneschi.html
MarcoTomassini.html
http___www.icar.cnr.it_pizzuti_cec03.pdf http://www.icar.cnr.it/pizzuti/cec03.pdf
http___dx.doi.org_10.1109_CEC.2003.1299589 http://dx.doi.org/10.1109/CEC.2003.1299589
folino:2004:eurogp Boosting technique for Combining Cellular GP Classifiers
GianluigiFolino.html
ClaraPizzuti.html
GiandomenicoSpezzano.html
http___dx.doi.org_10.1007_978-3-540-24650-3_5 http://dx.doi.org/10.1007/978-3-540-24650-3_5
folino:2005:gsice GP Ensembles for improving multi-class prediction problems
GianluigiFolino.html
ClaraPizzuti.html
GiandomenicoSpezzano.html
eurogp06:FolinoSpezzano P-CAGE: An Environment for Evolutionary Computation in Peer-to-Peer Systems
GianluigiFolino.html
GiandomenicoSpezzano.html
http___dx.doi.org_10.1007_11729976_31 http://dx.doi.org/10.1007/11729976_31
1144139 Improving cooperative GP ensemble with clustering and pruning for pattern classification
GianluigiFolino.html
ClaraPizzuti.html
GiandomenicoSpezzano.html
http___gpbib.cs.ucl.ac.uk_gecco2006_docs_p791.pdf http://gpbib.cs.ucl.ac.uk/gecco2006/docs/p791.pdf
http___dx.doi.org_10.1145_1143997.1144139 http://dx.doi.org/10.1145/1143997.1144139
Folino:2005:hbbaa Swarming Agents for Decentralized Clustering in Spatial Data
GianluigiFolino.html
AgostinoForestiero.html
GiandomenicoSpezzano.html
journals/jsw/FolinoFS06 A Jxta Based Asynchronous Peer-to-Peer Implementation of Genetic Programming
GianluigiFolino.html
AgostinoForestiero.html
GiandomenicoSpezzano.html
http___www.academypublisher.com_jsw_vol01_no02_jsw01021223.pdf http://www.academypublisher.com/jsw/vol01/no02/jsw01021223.pdf
http___www.academypublisher.com_jsw_vol01_no02_jsw01021223.html http://www.academypublisher.com/jsw/vol01/no02/jsw01021223.html
Folino:2005:ieeeTEC GP ensembles for large-scale data classification
GianluigiFolino.html
ClaraPizzuti.html
GiandomenicoSpezzano.html
http___dx.doi.org_10.1109_TEVC.2005.863627 http://dx.doi.org/10.1109/TEVC.2005.863627
eurogp07:folino Mining Distributed Evolving Data Streams using Fractal GP Ensembles
GianluigiFolino.html
ClaraPizzuti.html
GiandomenicoSpezzano.html
http___dx.doi.org_10.1007_978-3-540-71605-1_15 http://dx.doi.org/10.1007/978-3-540-71605-1_15
1277301 StreamGP: tracking evolving GP ensembles in distributed data streams using fractal dimension
GianluigiFolino.html
ClaraPizzuti.html
GiandomenicoSpezzano.html
http___gpbib.cs.ucl.ac.uk_gecco2007_docs_p1751.pdf http://gpbib.cs.ucl.ac.uk/gecco2007/docs/p1751.pdf
http___dx.doi.org_10.1145_1276958.1277301 http://dx.doi.org/10.1145/1276958.1277301
Folino:2008:TEC Training Distributed GP Ensemble With a Selective Algorithm Based on Clustering and Pruning for Pattern Classification
GianluigiFolino.html
ClaraPizzuti.html
GiandomenicoSpezzano.html
http___dx.doi.org_10.1109_TEVC.2007.906658 http://dx.doi.org/10.1109/TEVC.2007.906658
Folino:2010:EuroGP Handling Different Categories of Concept Drifts in Data Streams using Distributed GP
GianluigiFolino.html
GiuseppePapuzzo.html
http___dx.doi.org_10.1007_978-3-642-12148-7_7 http://dx.doi.org/10.1007/978-3-642-12148-7_7
Folino:2010:GPEM An ensemble-based evolutionary framework for coping with distributed intrusion detection
GianluigiFolino.html
ClaraPizzuti.html
GiandomenicoSpezzano.html
http___dx.doi.org_10.1007_s10710-010-9101-6 http://dx.doi.org/10.1007/s10710-010-9101-6
Folino:2010:fgcs Bio-Inspired Algorithms for Distributed Systems
GianluigiFolino.html
CarloMastroianni.html
http___grid.dimes.unical.it_papers_pdf_BioInspiredSI-FGCS.pdf http://grid.dimes.unical.it/papers/pdf/BioInspiredSI-FGCS.pdf
Folino2011 Special Issue: Bio-Inspired Optimization Techniques for High Performance Computing
GianluigiFolino.html
CarloMastroianni.html
https___doi.org_10.1007_s00354-011-0101-8 https://doi.org/10.1007/s00354-011-0101-8
http___dx.doi.org_10.1007_s00354-011-0101-8 http://dx.doi.org/10.1007/s00354-011-0101-8
Folino:evoapps13 A Framework for Modeling Automatic Offloading of Mobile Applications Using Genetic Programming
GianluigiFolino.html
FrancescoSergioPisani.html
http___dx.doi.org_10.1007_978-3-642-37192-9_7 http://dx.doi.org/10.1007/978-3-642-37192-9_7
Folino2013 Preface: nature inspired solutions for high performance computing
GianluigiFolino.html
CarloMastroianni.html
SanazMostaghim.html
https___doi.org_10.1007_s11047-012-9326-9 https://doi.org/10.1007/s11047-012-9326-9
http___dx.doi.org_10.1007_s11047-012-9326-9 http://dx.doi.org/10.1007/s11047-012-9326-9
Folino:2014:ASC Automatic offloading of mobile applications into the cloud by means of genetic programming
GianluigiFolino.html
FrancescoSergioPisani.html
http___dx.doi.org_10.1016_j.asoc.2014.09.016 http://dx.doi.org/10.1016/j.asoc.2014.09.016
http___www.sciencedirect.com_science_article_pii_S1568494614004578 http://www.sciencedirect.com/science/article/pii/S1568494614004578
Folino:2015:evoApplications Combining Ensemble of Classifiers by using Genetic Programming for Cyber Security Applications
GianluigiFolino.html
FrancescoSergioPisani.html
http___dx.doi.org_10.1007_978-3-319-16549-3_5 http://dx.doi.org/10.1007/978-3-319-16549-3_5
Folino:2016:EvoApps A Distributed Intrusion Detection Framework Based on Evolved Specialized Ensembles of Classifiers
GianluigiFolino.html
FrancescoSergioPisani.html
PietroSabatino.html
http___dx.doi.org_10.1007_978-3-319-31204-0_21 http://dx.doi.org/10.1007/978-3-319-31204-0_21
Folino:2016:GECCOcomp An Incremental Ensemble Evolved by using Genetic Programming to Efficiently Detect Drifts in Cyber Security Datasets
GianluigiFolino.html
FrancescoSergioPisani.html
PietroSabatino.html
http___dx.doi.org_10.1145_2908961.2931682 http://dx.doi.org/10.1145/2908961.2931682
Folino:2016:ASC Evolving meta-ensemble of classifiers for handling incomplete and unbalanced datasets in the cyber security domain
GianluigiFolino.html
FrancescoSergioPisani.html
http___dx.doi.org_10.1016_j.asoc.2016.05.044 http://dx.doi.org/10.1016/j.asoc.2016.05.044
http___www.sciencedirect.com_science_article_pii_S156849461630254X http://www.sciencedirect.com/science/article/pii/S156849461630254X
FOLINO:2019:ASC Exploiting fractal dimension and a distributed evolutionary approach to classify data streams with concept drifts
GianluigiFolino.html
MassimoGuarascio.html
GiuseppePapuzzo.html
http___dx.doi.org_10.1016_j.asoc.2018.11.009 http://dx.doi.org/10.1016/j.asoc.2018.11.009
http___www.sciencedirect.com_science_article_pii_S1568494618306410 http://www.sciencedirect.com/science/article/pii/S1568494618306410
DBLP:conf/numta/FolinoPP19 A Cybersecurity Framework for Classifying Non Stationary Data Streams Exploiting Genetic Programming and Ensemble Learning
GianluigiFolino.html
FrancescoSergioPisani.html
LuigiPontieri.html
https___doi.org_10.1007_978-3-030-39081-5_24 https://doi.org/10.1007/978-3-030-39081-5_24
http___dx.doi.org_10.1007_978-3-030-39081-5_24 http://dx.doi.org/10.1007/978-3-030-39081-5_24
https___dblp.org_rec_conf_numta_FolinoPP19.bib https://dblp.org/rec/conf/numta/FolinoPP19.bib
Folino:2019:GECCOcomp Using genetic programming for combining an ensemble of local and global outlier algorithms to detect new attacks
GianluigiFolino.html
FrancescoSergioPisani.html
LuigiPontieri.html
PietroSabatino.html
MaryamAmirHaeri.html
http___dx.doi.org_10.1145_3319619.3322018 http://dx.doi.org/10.1145/3319619.3322018
fong:2023:GECCOcomp Evolutionary Symbolic Regression: Mechanisms from the Perspectives of Morphology and Adaptability
KeiSenFong.html
ShelviaWongso.html
MehulMotani.html
http___dx.doi.org_10.1145_3583133.3595830 http://dx.doi.org/10.1145/3583133.3595830
FonluptPPSN2000 Genetic Programming with Dynamic Fitness for a Remote Sensing Application
CyrilFonlupt.html
DenisRobilliard.html
http___www-lil.univ-littoral.fr__robillia_Publis_lil-00-2.ps.gz http://www-lil.univ-littoral.fr/~robillia/Publis/lil-00-2.ps.gz
fonlupt:2001:ASC Solving the ocean color problem using a genetic programming approach
CyrilFonlupt.html
http___www.sciencedirect.com_science_article_B6W86-43S6W98-6_2_ed66cf73aec7cb186639405e4a8801bb http://www.sciencedirect.com/science/article/B6W86-43S6W98-6/2/ed66cf73aec7cb186639405e4a8801bb
http___dx.doi.org_10.1016_S1568-4946_01_00007-2 http://dx.doi.org/10.1016/S1568-4946(01)00007-2
fonlupt:2005:GPEM Book Review: Genetic Programming IV: Routine Human-Competitive Machine Intelligence
CyrilFonlupt.html
http___dx.doi.org_10.1007_s10710-005-7579-0 http://dx.doi.org/10.1007/s10710-005-7579-0
Fonlupt:2011:SDE Linear imperative programming with Differential Evolution
CyrilFonlupt.html
DenisRobilliard.html
VirginieMarion-Poty.html
http___dx.doi.org_10.1109_SDE.2011.5952066 http://dx.doi.org/10.1109/SDE.2011.5952066
fonlupt:2011:EuroGP A Continuous Approach to Genetic Programming
CyrilFonlupt.html
DenisRobilliard.html
http___dx.doi.org_10.1007_978-3-642-20407-4_29 http://dx.doi.org/10.1007/978-3-642-20407-4_29
Fonlupt:2012:GECCOcomp Combining programs to counter code disruption
CyrilFonlupt.html
DenisRobilliard.html
http___dx.doi.org_10.1145_2330784.2330900 http://dx.doi.org/10.1145/2330784.2330900
Fonlupt:2012:GPnew Continuous Schemes for Program Evolution
CyrilFonlupt.html
DenisRobilliard.html
VirginieMarion-Poty.html
http___dx.doi.org_10.5772_50023 http://dx.doi.org/10.5772/50023
fonlupt:2013:EuroGP PhenoGP: Combining Programs to Avoid Code Disruption
CyrilFonlupt.html
DenisRobilliard.html
http___dx.doi.org_10.1007_978-3-642-37207-0_5 http://dx.doi.org/10.1007/978-3-642-37207-0_5
Fonseca:2020:PPSN The Usability Argument for Refinement Typed Genetic Programming
AlcidesFonseca.html
PauloAlexandreCanelasdosSantos.html
SaraSilva.html
http___dx.doi.org_10.1007_978-3-030-58115-2_2 http://dx.doi.org/10.1007/978-3-030-58115-2_2
Fonseca:thesis Automatic Optimization of Granularity Control Algorithms for Parallel Programs
AlcidesFonseca.html
https___old.cisuc.uc.pt_publication_show_5104 https://old.cisuc.uc.pt/publication/show/5104
https___estudogeral.uc.pt_bitstream_10316_32304_3_Automatic_20Optimization_20of_20Granularity_20Control_20Algorithms_20for_20Parallel_20Programs.pdf https://estudogeral.uc.pt/bitstream/10316/32304/3/Automatic%20Optimization%20of%20Granularity%20Control%20Algorithms%20for%20Parallel%20Programs.pdf
Fonseca:2021:GPTP Grammatical Evolution Mapping for Semantically-Constrained Genetic Programming
AlcidesFonseca.html
PauloAlexandreCanelasdosSantos.html
GuilhermeJorgeNunesMonteiroEspada.html
SaraSilva.html
http___dx.doi.org_10.1007_978-981-16-8113-4_3 http://dx.doi.org/10.1007/978-981-16-8113-4_3
fonseca:2023:GECCO Comparing the Expressive Power of Strongly-Typed and Grammar-Guided Genetic Programming
AlcidesFonseca.html
DiogoPocas.html
http___dx.doi.org_10.1145_3583131.3590507 http://dx.doi.org/10.1145/3583131.3590507
Font:2010:cec Grammar-guided evolutionary automatic system for autonomously building biological oscillators
JoseMFont.html
DanielManriqueGamo.html
http___dx.doi.org_10.1109_CEC.2010.5586377 http://dx.doi.org/10.1109/CEC.2010.5586377
Font20107711 Evolutionary construction and adaptation of intelligent systems
JoseMFont.html
DanielManriqueGamo.html
JuanRiosCarrion.html
http___dx.doi.org_10.1016_j.eswa.2010.04.070 http://dx.doi.org/10.1016/j.eswa.2010.04.070
http___www.sciencedirect.com_science_article_B6V03-501FPHF-C_2_9a2d947791e5706c203b3fed536a0e36 http://www.sciencedirect.com/science/article/B6V03-501FPHF-C/2/9a2d947791e5706c203b3fed536a0e36
Font:2011:IWINAC Grammar-Guided Evolutionary Construction of Bayesian Networks
JoseMFont.html
DanielManriqueGamo.html
EduardoPascua.html
http___dx.doi.org_10.1007_978-3-642-21344-1_7 http://dx.doi.org/10.1007/978-3-642-21344-1_7
Font:evoapps12 Evolving Third-Person Shooter Enemies to Optimize Player Satisfaction in Real-Time
JoseMFont.html
http___dx.doi.org_10.1007_978-3-642-29178-4_21 http://dx.doi.org/10.1007/978-3-642-29178-4_21
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JoseMFont.html
TobiasMahlmann.html
DanielManriqueGamo.html
JulianTogelius.html
http___dx.doi.org_10.1007_978-3-642-37192-9_26 http://dx.doi.org/10.1007/978-3-642-37192-9_26
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JoseMFont.html
TobiasMahlmann.html
DanielManriqueGamo.html
JulianTogelius.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.299.3619 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.299.3619
http___julian.togelius.com_Font2013Towards.pdf http://julian.togelius.com/Font2013Towards.pdf
http___www.fdg2013.org_program_papers_short01_font_etal.pdf http://www.fdg2013.org/program/papers/short01_font_etal.pdf
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NicolasFontbonne.html
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NicolasBredeche.html
http___dx.doi.org_10.1007_978-3-031-02056-8_12 http://dx.doi.org/10.1007/978-3-031-02056-8_12
fontoura:2017:CEC Automated design of hyper-heuristics components to solve the PSP problem with HP model
VidalDanieldaFontoura.html
AuroraTrinidadRamirezPozo.html
RobertoSantana.html
http___www.sc.ehu.es_ccwbayes_members_ZEeZE_papers_paper_17414.html http://www.sc.ehu.es/ccwbayes/members/ZEeZE/papers/paper_17414.html
http___dx.doi.org_10.1109_CEC.2017.7969526 http://dx.doi.org/10.1109/CEC.2017.7969526
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NathamForeman.html
MatthewPEvett.html
http___gpbib.cs.ucl.ac.uk_gecco2005_docs_p1779.pdf http://gpbib.cs.ucl.ac.uk/gecco2005/docs/p1779.pdf
http___dx.doi.org_10.1145_1068009.1068307 http://dx.doi.org/10.1145/1068009.1068307
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SaraMizarFormentin.html
BarbaraZanuttigh.html
http___dx.doi.org_10.1016_j.coastaleng.2019.103529 http://dx.doi.org/10.1016/j.coastaleng.2019.103529
http___www.sciencedirect.com_science_article_pii_S0378383919300419 http://www.sciencedirect.com/science/article/pii/S0378383919300419
Forouzanfar2012496 Transport energy demand forecast using multi-level genetic programming
MehdiForouzanfar.html
AliDoustmohammadi.html
SamiraHasanzadeh.html
GHamedShakouri.html
http___dx.doi.org_10.1016_j.apenergy.2011.08.018 http://dx.doi.org/10.1016/j.apenergy.2011.08.018
http___www.sciencedirect.com_science_article_pii_S0306261911005149 http://www.sciencedirect.com/science/article/pii/S0306261911005149
Forrest13081993 Genetic Algorithms: Principles of Natural Selection Applied to Computation
StephanieForrest.html
http___www.sciencemag.org_content_261_5123_872.abstract http://www.sciencemag.org/content/261/5123/872.abstract
http___dx.doi.org_10.1126_science.8346439 http://dx.doi.org/10.1126/science.8346439
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StephanieForrest.html
ThanhVuNguyen.html
WestleyWeimer.html
ClaireLeGoues.html
http___dx.doi.org_10.1145_1569901.1570031 http://dx.doi.org/10.1145/1569901.1570031
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.147.7651 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.147.7651
http___www.cs.virginia.edu__weimer_p_weimer-gecco2009.pdf http://www.cs.virginia.edu/~weimer/p/weimer-gecco2009.pdf
Forrest:2010:SPLASH The Case for Evolvable Software
StephanieForrest.html
http___portal.acm.org_ft_gateway.cfm_id_1869539_type_pdf_CFID_114019259_CFTOKEN_22192943 http://portal.acm.org/ft_gateway.cfm?id=1869539&type=pdf&CFID=114019259&CFTOKEN=22192943
http___dx.doi.org_10.1145_1869459.1869539 http://dx.doi.org/10.1145/1869459.1869539
Forrest:2021:GI Engineering and Evolving Software
StephanieForrest.html
https___www.youtube.com_watch_v_iZnKHIZ5qVY_list_PLXTjhGKkSnI-se7uQneCX-pEDiDrQ7TIS_index_13 https://www.youtube.com/watch?v=iZnKHIZ5qVY&list=PLXTjhGKkSnI-se7uQneCX-pEDiDrQ7TIS&index=13
https___twitter.com_gi2021_status_1399027796597383168 https://twitter.com/gi2021/status/1399027796597383168
http___dx.doi.org_10.1109_GI52543.2021.00008 http://dx.doi.org/10.1109/GI52543.2021.00008
Forstenlechner:2015:GECCOcomp Introducing Semantic-Clustering Selection in Grammatical Evolution
StefanForstenlechner.html
MiguelNicolau.html
DavidFagan.html
MichaelO'Neill.html
http___doi.acm.org_10.1145_2739482.2768502 http://doi.acm.org/10.1145/2739482.2768502
http___dx.doi.org_10.1145_2739482.2768502 http://dx.doi.org/10.1145/2739482.2768502
Forstenlechner:2016:EuroGP Grammar Design for Derivation Tree Based Genetic Programming Systems
StefanForstenlechner.html
MiguelNicolau.html
DavidFagan.html
MichaelO'Neill.html
http___dx.doi.org_10.1007_978-3-319-30668-1_13 http://dx.doi.org/10.1007/978-3-319-30668-1_13
Forstenlechner:2017:EuroGP A Grammar Design Pattern for Arbitrary Program Synthesis Problems in Genetic Programming
StefanForstenlechner.html
DavidFagan.html
MiguelNicolau.html
MichaelO'Neill.html
http___dx.doi.org_10.1007_978-3-319-55696-3_17 http://dx.doi.org/10.1007/978-3-319-55696-3_17
Forstenlechner:2017:EA Semantics-Based Crossover for Program Synthesis in Genetic Programming
StefanForstenlechner.html
DavidFagan.html
MiguelNicolau.html
MichaelO'Neill.html
http___dx.doi.org_10.1007_978-3-319-78133-4_5 http://dx.doi.org/10.1007/978-3-319-78133-4_5
Forstenlechner:2018:CEC Towards Understanding and Refining the General Program Synthesis Benchmark Suite with Genetic Programming
StefanForstenlechner.html
DavidFagan.html
MiguelNicolau.html
MichaelO'Neill.html
http___dx.doi.org_10.1109_CEC.2018.8477953 http://dx.doi.org/10.1109/CEC.2018.8477953
Forstenlechner:2018:GECCO Towards effective semantic operators for program synthesis in genetic programming
StefanForstenlechner.html
DavidFagan.html
MiguelNicolau.html
MichaelO'Neill.html
http___dx.doi.org_10.1145_3205455.3205592 http://dx.doi.org/10.1145/3205455.3205592
Forstenlechner:2018:PPSN Extending Program Synthesis Grammars for Grammar-Guided Genetic Programming
StefanForstenlechner.html
DavidFagan.html
MiguelNicolau.html
MichaelO'Neill.html
https___www.springer.com_gp_book_9783319992587 https://www.springer.com/gp/book/9783319992587
http___dx.doi.org_10.1007_978-3-319-99253-2_16 http://dx.doi.org/10.1007/978-3-319-99253-2_16
forstenlechner:phdthesis Program Synthesis with Grammars and Semantics in Genetic Programming
StefanForstenlechner.html
https___www.smurfitschool.ie_facultyresearch_phdresearch_phdgraduates_stefanforstenlechner_ https://www.smurfitschool.ie/facultyresearch/phdresearch/phdgraduates/stefanforstenlechner/
http___ncra.ucd.ie_papers_PhDThesis_forstenlechner_submitted.pdf http://ncra.ucd.ie/papers/PhDThesis_forstenlechner_submitted.pdf
Forster:2009:ISSNIP Evolving discriminative features robust to sensor displacement for activity recognition in body area sensor networks
KilianForster.html
PascalBrem.html
DanielRoggen.html
GerhardTroster.html
http___dx.doi.org_10.1109_ISSNIP.2009.5416810 http://dx.doi.org/10.1109/ISSNIP.2009.5416810
kybernetes:forsyth BEAGLE A Darwinian Approach to Pattern Recognition
RichardForsyth.html
http___www.richardsandesforsyth.net_pubs_beagle81.pdf http://www.richardsandesforsyth.net/pubs/beagle81.pdf
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_kybernetes_forsyth.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/kybernetes_forsyth.pdf
http___dx.doi.org_10.1108_eb005587 http://dx.doi.org/10.1108/eb005587
Forsyth:1986:mlESir Machine Learning applications in Expert Systems and Information Retrieval
RichardForsyth.html
RoyRada.html
http___www.amazon.co.uk_Machine-Learning-Applications-Information-Retrieval_dp_0745800459 http://www.amazon.co.uk/Machine-Learning-Applications-Information-Retrieval/dp/0745800459
forsyth:1989:ei The evolution of intelligence
RichardForsyth.html
http___www.amazon.com_Machine-Learning-Principles-Techniques-Computing_dp_0412305704 http://www.amazon.com/Machine-Learning-Principles-Techniques-Computing/dp/0412305704
http___books.google.co.uk_books_id_jIVQAAAAMAAJ_focus_searchwithinvolume_q_Forsyth http://books.google.co.uk/books?id=jIVQAAAAMAAJ&focus=searchwithinvolume&q=Forsyth
Forsyth:thesis Stylistic Structures A Computational Approach to Text Classification
RichardForsyth.html
http___www.richardsandesforsyth.net_doctoral.html http://www.richardsandesforsyth.net/doctoral.html
http___www.richardsandesforsyth.net_doctoral_RFthesis.pdf http://www.richardsandesforsyth.net/doctoral/RFthesis.pdf
http___www.richardsandesforsyth.net_doctoral_appx_abcd.pdf http://www.richardsandesforsyth.net/doctoral/appx_abcd.pdf
Forsyth:2016:sigevolution The Genesis of Genetic Programming: A Frontiersman's tale
RichardForsyth.html
http___www.sigevolution.org_issues_SIGEVOlution0903.pdf http://www.sigevolution.org/issues/SIGEVOlution0903.pdf
http___dx.doi.org_10.1145_3066862.3066863 http://dx.doi.org/10.1145/3066862.3066863
fortin:2012:JMRL DEAP: Evolutionary Algorithms Made Easy
Felix-AntoineFortin.html
Francois-MichelDeRainville.html
Marc-AndreGardner.html
MarcParizeau.html
ChristianGagne.html
http___jmlr.org_papers_v13_ http://jmlr.org/papers/v13/
http___www.jmlr.org_papers_volume13_fortin12a_fortin12a.pdf http://www.jmlr.org/papers/volume13/fortin12a/fortin12a.pdf
https___github.com_deap https://github.com/deap
DBLP:conf/ssci/FossSH21 Investigating Genetic Network Programming for Multiple Nest Foraging
FredrikFoss.html
TrulsStenrud.html
PaulineHaddow.html
https___doi.org_10.1109_SSCI50451.2021.9659926 https://doi.org/10.1109/SSCI50451.2021.9659926
http___dx.doi.org_10.1109_SSCI50451.2021.9659926 http://dx.doi.org/10.1109/SSCI50451.2021.9659926
https___dblp.org_rec_conf_ssci_FossSH21.bib https://dblp.org/rec/conf/ssci/FossSH21.bib
Foster:2010:gecco Object-level recombination of commodity applications
BlairFoster.html
AnilSomayaji.html
http___people.scs.carleton.ca__soma_pubs_bfoster-gecco-2010.pdf http://people.scs.carleton.ca/~soma/pubs/bfoster-gecco-2010.pdf
http___dx.doi.org_10.1145_1830483.1830653 http://dx.doi.org/10.1145/1830483.1830653
foster:1997:ieGPb Comments on the intron/exon distinction as it relates to genetic programming and biology
JamesAFoster.html
TerenceSoule.html
foster:2001:discipulus Review: Discipulus: A Commercial Genetic Programming System
JamesAFoster.html
https___rdcu.be_cT1so https://rdcu.be/cT1so
http___dx.doi.org_10.1023_A_1011516717456 http://dx.doi.org/10.1023/A:1011516717456
foster:2005:GPEM Introduction
JamesAFoster.html
ErickCantu-Paz.html
http___dx.doi.org_10.1007_s10710-005-7616-z http://dx.doi.org/10.1007/s10710-005-7616-z
foster:2006:sigevo GECCO-2006 Highlights: Biological Applications
JamesAFoster.html
JasonHMoore.html
http___www.sigevolution.org_2006_03_issue.pdf http://www.sigevolution.org/2006/03/issue.pdf
Foster:2013:GPEM Introduction to special section: Best of EuroGP/EvoBio
JamesAFoster.html
http___dx.doi.org_10.1007_s10710-013-9194-9 http://dx.doi.org/10.1007/s10710-013-9194-9
Foster:2017:GPEM Taking ``biology'' just seriously enough: Commentary on ``On the Mapping of Genotype to Phenotype in Evolutionary Algorithms'' by Peter A. Whigham, Grant Dick, and James Maclaurin
JamesAFoster.html
http___dx.doi.org_10.1007_s10710-017-9296-x http://dx.doi.org/10.1007/s10710-017-9296-x
Foster:2023:GPTP
JamesAFoster.html
Foster:2021:ICTSS Reverse-Engineering EFSMs with Data Dependencies
MichaelFoster.html
JohnDerrick.html
NeilWalkinshaw.html
https___eprints.whiterose.ac.uk_177494_ https://eprints.whiterose.ac.uk/177494/
http___dx.doi.org_10.1007_978-3-031-04673-5_3 http://dx.doi.org/10.1007/978-3-031-04673-5_3
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AmirFouladitajar.html
FarzinZokaeeAshtiani.html
AhmadOkhovat.html
BahramDabir.html
http___dx.doi.org_10.1016_j.desal.2013.09.003 http://dx.doi.org/10.1016/j.desal.2013.09.003
http___www.sciencedirect.com_science_article_pii_S001191641300413X http://www.sciencedirect.com/science/article/pii/S001191641300413X
Fowler:2016:EuroGP Modelling Evolvability in Genetic Programming
BenjaminFowler.html
WolfgangBanzhaf.html
http___dx.doi.org_10.1007_978-3-319-30668-1_14 http://dx.doi.org/10.1007/978-3-319-30668-1_14
Fowler_BenjaminDavidScott_doctoral Modelling Evolvability in Genetic Programming
BenjaminFowler.html
http___research.library.mun.ca_id_eprint_13413 http://research.library.mun.ca/id/eprint/13413
https___research.library.mun.ca_13413_1_Fowler_BenjaminDavidScott_doctoral.pdf https://research.library.mun.ca/13413/1/Fowler_BenjaminDavidScott_doctoral.pdf
conf/evoW/FradeVC08 Modelling Video Games' Landscapes by Means of Genetic Terrain Programming - A New Approach for Improving Users' Experience
MiguelFrade.html
FranciscoFernandezdeVega.html
CarlosCotta.html
http___dx.doi.org_10.1007_978-3-540-78761-7_52 http://dx.doi.org/10.1007/978-3-540-78761-7_52
Frade:2009:IJCGT Breeding Terrains with Genetic Terrain Programming: The Evolution of Terrain Generators
MiguelFrade.html
FranciscoFernandezdeVega.html
CarlosCotta.html
http___downloads.hindawi.com_journals_ijcgt_2009_125714.pdf http://downloads.hindawi.com/journals/ijcgt/2009/125714.pdf
http___dx.doi.org_10.1155_2009_125714 http://dx.doi.org/10.1155/2009/125714
Frade:2010:EvoGAMES Evolution of Artificial Terrains for Video Games Based on Accessibility
MiguelFrade.html
FranciscoFernandezdeVega.html
CarlosCotta.html
http___dx.doi.org_10.1007_978-3-642-12239-2_10 http://dx.doi.org/10.1007/978-3-642-12239-2_10
Frade:2010:cec Evolution of artificial terrains for video games based on obstacles edge length
MiguelFrade.html
FranciscoFernandezdeVega.html
CarlosCotta.html
http___dx.doi.org_10.1109_CEC.2010.5586032 http://dx.doi.org/10.1109/CEC.2010.5586032
TDUEX_2012_Frade Evolving artificial terrains with automated genetic terrain programing
MiguelFrade.html
http___hdl.handle.net_10662_426 http://hdl.handle.net/10662/426
http___dehesa.unex.es_bitstream_handle_10662_426_TDUEX_2012_Frade.pdf http://dehesa.unex.es/bitstream/handle/10662/426/TDUEX_2012_Frade.pdf
Frade:2012:SC Automatic evolution of programs for procedural generation of terrains for video games
MiguelFrade.html
FranciscoFernandezdeVega.html
CarlosCotta.html
https___doi.org_10.1007_s00500-012-0863-z https://doi.org/10.1007/s00500-012-0863-z
http___dx.doi.org_10.1007_s00500-012-0863-z http://dx.doi.org/10.1007/s00500-012-0863-z
Francisco:2008:geccocomp Evolving combat algorithms to control space ships in a 2D space simulation game with co-evolution using genetic programming and decision trees
TiagoFrancisco.html
GustavoMiguelJorgedosReis.html
http___gpbib.cs.ucl.ac.uk_gecco2008_docs_p1887.pdf http://gpbib.cs.ucl.ac.uk/gecco2008/docs/p1887.pdf
http___dx.doi.org_10.1145_1388969.1388995 http://dx.doi.org/10.1145/1388969.1388995
Francisco2:2008:geccocomp Evolving predator and prey behaviours with co-evolution using genetic programming and decision trees
TiagoFrancisco.html
GustavoMiguelJorgedosReis.html
http___gpbib.cs.ucl.ac.uk_gecco2008_docs_p1893.pdf http://gpbib.cs.ucl.ac.uk/gecco2008/docs/p1893.pdf
http___dx.doi.org_10.1145_1388969.1388996 http://dx.doi.org/10.1145/1388969.1388996
francone:1996:bench Benchmarking the Generalization Capabilities of a Compiling Genetic programming System using Sparse Data Sets
FrankDFrancone.html
PeterNordin.html
WolfgangBanzhaf.html
http___www.cs.mun.ca__banzhaf_papers_benchmarking.pdf http://www.cs.mun.ca/~banzhaf/papers/benchmarking.pdf
http___cognet.mit.edu_sites_default_files_books_9780262315876_pdfs_9780262315876_chap9.pdf http://cognet.mit.edu/sites/default/files/books/9780262315876/pdfs/9780262315876_chap9.pdf
http___cognet.mit.edu_library_books_view_isbn_0262611279 http://cognet.mit.edu/library/books/view?isbn=0262611279
banzhaf:1996:mutatation The Effect of Extensive Use of the Mutation Operator on Generalization in Genetic Programming Using Sparse Data Sets
WolfgangBanzhaf.html
FrankDFrancone.html
PeterNordin.html
http___dx.doi.org_10.1007_3-540-61723-X_994 http://dx.doi.org/10.1007/3-540-61723-X_994
banzhaf:1997:emvsea Some Emergent Properties of Variable Size EAs
WolfgangBanzhaf.html
FrankDFrancone.html
PeterNordin.html
banzhaf:1997:wiGPge Why introns in genetic programming grow exponentially
WolfgangBanzhaf.html
PeterNordin.html
FrankDFrancone.html
francone:1999:HCGP Homologous Crossover in Genetic Programming
FrankDFrancone.html
MarkusConrads.html
WolfgangBanzhaf.html
PeterNordin.html
http___gpbib.cs.ucl.ac.uk_gecco1999_GP-463.pdf http://gpbib.cs.ucl.ac.uk/gecco1999/GP-463.pdf
Francone:2000:lrtads Automatic Induction of Machine Code (AIM) Learning Real Time Adaptive Control Strategies
FrankDFrancone.html
PeterNordin.html
WolfgangBanzhaf.html
LarryMDeschaine.html
http___www.pcai.com_web_articles_processcontrol.pdf http://www.pcai.com/web/articles/processcontrol.pdf
francone:manual Discipulus Owner's Manual
FrankDFrancone.html
http___gpbib.cs.ucl.ac.uk_gp-html_francone_manual.html http://gpbib.cs.ucl.ac.uk/gp-html/francone_manual.html
http___www.aimlearning.com_Discipulus_20Owners_20Manual.pdf http://www.aimlearning.com/Discipulus%20Owners%20Manual.pdf
francone:ebdo Extending the boundaries of design optimization by integrating fast optimization techniques with machine-code-based, linear genetic programming
FrankDFrancone.html
LarryMDeschaine.html
http___dx.doi.org_10.1016_j.ins.2003.05.006 http://dx.doi.org/10.1016/j.ins.2003.05.006
ASTC_2004_Getting_It_Right_from_the_Very_Start Getting It Right at the Very Start -- Building Project Models where Data Is Expensive by Combining Human Expertise, Machine Learning and Information Theory
FrankDFrancone.html
LarryMDeschaine.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_deschaine_ASTC_2004_Getting_It_Right_from_the_Very_Start.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/deschaine/ASTC_2004_Getting_It_Right_from_the_Very_Start.pdf
http___www.scs.org_docInfo.cfm_get_1720 http://www.scs.org/docInfo.cfm?get=1720
francone:2004:lbp Discrimination of Unexploded Ordnance from Clutter Using Linear Genetic Programming
FrankDFrancone.html
LarryMDeschaine.html
ThomasRBattenhouseJr.html
JeffreyJWarren.html
http___gpbib.cs.ucl.ac.uk_gecco2004_LBP022.pdf http://gpbib.cs.ucl.ac.uk/gecco2004/LBP022.pdf
http___www.aimlearning.com_UXO.GECCO.2004.pdf http://www.aimlearning.com/UXO.GECCO.2004.pdf
francone:2005:GPTP Discrimination of Unexploded Ordnance from Clutter using Linear Genetic Programming
FrankDFrancone.html
LarryMDeschaine.html
ThomasRBattenhouseJr.html
JeffreyJWarren.html
http___dx.doi.org_10.1007_0-387-28111-8_4 http://dx.doi.org/10.1007/0-387-28111-8_4
1277353 Discrimination of munitions and explosives of concern at F.E. Warren AFB using linear genetic programming
FrankDFrancone.html
LarryMDeschaine.html
JeffreyJWarren.html
http___gpbib.cs.ucl.ac.uk_gecco2007_docs_p1999.pdf http://gpbib.cs.ucl.ac.uk/gecco2007/docs/p1999.pdf
http___dx.doi.org_10.1145_1276958.1277353 http://dx.doi.org/10.1145/1276958.1277353
Frank_D._Francone_Licensiate_Thesis Dynamics and Performance of a Linear Genetic Programming System
FrankDFrancone.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.476.2521 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.476.2521
Francone:2010:Sibert_SLO LGP Discrimination and Residual Risk Analysis on Standardized Test Sites - Camp Sibert and Camp San Luis Obispo
FrankDFrancone.html
DeanAKeiswetter.html
http___serdp-estcp.org_Program-Areas_Munitions-Response_Land_Modeling-and-Signal-Processing_MR-200811 http://serdp-estcp.org/Program-Areas/Munitions-Response/Land/Modeling-and-Signal-Processing/MR-200811
http___serdp-estcp.org_content_download_11922_145069_file_MR-200811-FR.pdf http://serdp-estcp.org/content/download/11922/145069/file/MR-200811-FR.pdf
FrankKlahold:masters Ein System zur Untersuchung der Moglichkeiten und Beschrankungen fur Genetisches Programmieren in JAVA Bytecode
SteffenFrank.html
StefanKlahold.html
Frankland:2015:CEC Evolving game playing strategies for Othello
CliveFrankland.html
NelishiaPillay.html
http___dx.doi.org_10.1109_CEC.2015.7257065 http://dx.doi.org/10.1109/CEC.2015.7257065
FRANKLIN:2022:OM On the runup parameterisation for reef-lined coasts
GemmaLFranklin.html
AlecTorres-Freyermuth.html
http___dx.doi.org_10.1016_j.ocemod.2021.101929 http://dx.doi.org/10.1016/j.ocemod.2021.101929
https___www.sciencedirect.com_science_article_pii_S1463500321001797 https://www.sciencedirect.com/science/article/pii/S1463500321001797
Frankola:2008:ITI Evolutionary algorithms for the resource constrained scheduling problem
ToniFrankola.html
MarinGolub.html
DomagojJakobovic.html
http___dx.doi.org_10.1109_ITI.2008.4588499 http://dx.doi.org/10.1109/ITI.2008.4588499
FRANTZEN:2022:dajour Digital-twin-based decision support of dynamic maintenance task prioritization using simulation-based optimization and genetic programming
MarcusFrantzen.html
SunithBandaru.html
AmosHCNg.html
http___dx.doi.org_10.1016_j.dajour.2022.100039 http://dx.doi.org/10.1016/j.dajour.2022.100039
https___www.sciencedirect.com_science_article_pii_S2772662222000108 https://www.sciencedirect.com/science/article/pii/S2772662222000108
Fraser:1994:inkbiro Putting INK into a BIRo: A discussion of problem domain knowledge for evolutionary robotics
AdamFraser.html
JRRush.html
Fraser:2017:GECCO Return-oriented Programme Evolution with ROPER: A Proof of Concept
OliviaLuccaFraser.html
NurZincir-Heywood.html
MalcolmHeywood.html
JohnTJacobs.html
http___doi.acm.org_10.1145_3067695.3082508 http://doi.acm.org/10.1145/3067695.3082508
http___dx.doi.org_10.1145_3067695.3082508 http://dx.doi.org/10.1145/3067695.3082508
frayn:2005:JCIS Genetic Programming in Finance
ColinMFrayn.html
Fredericks:2013:GECCOcomp Exploring automated software composition with genetic programming
ErikMFredericks.html
BettyHCCheng.html
http___dx.doi.org_10.1145_2464576.2480790 http://dx.doi.org/10.1145/2464576.2480790
Fredericks:2021:GI (Genetically) Improving Novelty in Procedural Story Generation
ErikMFredericks.html
ByronDeVries.html
https___arxiv.org_pdf_2103.06935.pdf https://arxiv.org/pdf/2103.06935.pdf
https___youtu.be_bsrHjd2_J2E https://youtu.be/bsrHjd2_J2E
https___efredericks.github.io_P5-Projects_ https://efredericks.github.io/P5-Projects/
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https___www.youtube.com_watch_v_0HSm6BNyOzU_list_PLI8fiFpB7BoKDaxvS7SQp0iA7fN7rrvDD_index_14 https://www.youtube.com/watch?v=0HSm6BNyOzU&list=PLI8fiFpB7BoKDaxvS7SQp0iA7fN7rrvDD&index=14
https___www.youtube.com_watch_v_RHGt7hiEiL0_list_PLXTjhGKkSnI-se7uQneCX-pEDiDrQ7TIS_index_6 https://www.youtube.com/watch?v=RHGt7hiEiL0&list=PLXTjhGKkSnI-se7uQneCX-pEDiDrQ7TIS&index=6
http___dx.doi.org_10.1109_GI52543.2021.00016 http://dx.doi.org/10.1109/GI52543.2021.00016
Fredericks:2023:GI Generative Art via Grammatical Evolution
ErikMFredericks.html
AbigailCDiller.html
JaredMMoore.html
http___gpbib.cs.ucl.ac.uk_gi2023_Fredericks_2023_GI.pdf http://gpbib.cs.ucl.ac.uk/gi2023/Fredericks_2023_GI.pdf
http___dx.doi.org_10.1109_GI59320.2023.00010 http://dx.doi.org/10.1109/GI59320.2023.00010
http___gpbib.cs.ucl.ac.uk_gi2023_Fredericks-GI2023.pdf http://gpbib.cs.ucl.ac.uk/gi2023/Fredericks-GI2023.pdf
http___gpbib.cs.ucl.ac.uk_gi2023_Fredericks-GI-2023-out.mp4 http://gpbib.cs.ucl.ac.uk/gi2023/Fredericks-GI-2023-out.mp4
https___www.youtube.com_watch_v_LH6i8M55ijs_list_PLI8fiFpB7BoJLh6cUpGBjyeB1hM9DET1V_index_2 https://www.youtube.com/watch?v=LH6i8M55ijs&list=PLI8fiFpB7BoJLh6cUpGBjyeB1hM9DET1V&index=2
https___github.com_GI2023-GenerativeGI_GI2023_tree_ASE-GI-Extension https://github.com/GI2023-GenerativeGI/GI2023/tree/ASE-GI-Extension
Freeland:2019:GPTP Alphabets, topologies and optimization - I'll show you mine if you tell me about yours
StephenJFreeland.html
freeman:1998:lrGPcfg A Linear Representation for GP using Context Free Grammars
JenniferJFreeman.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_gp1998_freeman_1998_lrGPcfg.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/gp1998/freeman_1998_lrGPcfg.pdf
Freire:2010:ICEC Genetic Algorithm based on Differential Evolution with Variable Length Runoff Prediction on an Artificial Basin
AnaFreire.html
VanessaAguiar-Pulido.html
JuanRamonRabunalDopico.html
MartaGarrido.html
https___www.scitepress.org_PublishedPapers_2010_30814_ https://www.scitepress.org/PublishedPapers/2010/30814/
http___www.robinbye.com_files_publications_ICEC_2010.pdf http://www.robinbye.com/files/publications/ICEC_2010.pdf
http___dx.doi.org_10.5220_0003081402070212 http://dx.doi.org/10.5220/0003081402070212
Freischlad:2005:ICCCE Multi-Objective Genetic Programming Based Design of Fuzzy Systems
MarkFreischlad.html
MartinaSchnellenbach-Held.html
http___dx.doi.org_10.1061_40794_179_62 http://dx.doi.org/10.1061/40794(179)62
Freitag:2016:AMT Automatic design of scheduling rules for complex manufacturing systems by multi-objective simulation-based optimization
MichaelFreitag.html
TorstenHildebrandt.html
http___dx.doi.org_10.1016_j.cirp.2016.04.066 http://dx.doi.org/10.1016/j.cirp.2016.04.066
http___www.sciencedirect.com_science_article_pii_S000785061630066X http://www.sciencedirect.com/science/article/pii/S000785061630066X
Freitas:1997:GPf2dm A Genetic Programming Framework for Two Data Mining Tasks: Classification and Generalized Rule Induction
AlexAlvesFreitas.html
http___citeseer.nj.nec.com_43454.html http://citeseer.nj.nec.com/43454.html
http___kar.kent.ac.uk_21483_ http://kar.kent.ac.uk/21483/
http___kar.kent.ac.uk_21483_2_A_Genetic_Programming_Framework_for_Two_Data_Mining_Tasks_Classification_and_Generalized_Rule_Induction.pdf http://kar.kent.ac.uk/21483/2/A_Genetic_Programming_Framework_for_Two_Data_Mining_Tasks_Classification_and_Generalized_Rule_Induction.pdf
freitas:1998:GAdkn A Genetic Algorithm for Discovering Knowledge Nuggets
AlexAlvesFreitas.html
freitas:2001:GPEM Book Review: Data Mining Using Grammar-Based Genetic Programming and Applications
AlexAlvesFreitas.html
http___ipsapp009.lwwonline.com_content_getfile_4723_5_7_fulltext.pdf http://ipsapp009.lwwonline.com/content/getfile/4723/5/7/fulltext.pdf
http___dx.doi.org_10.1023_A_1011564616547 http://dx.doi.org/10.1023/A:1011564616547
freitas:2002:book Data Mining and Knowledge Discovery with Evolutionary Algorithms
AlexAlvesFreitas.html
https___kar.kent.ac.uk_13669_ https://kar.kent.ac.uk/13669/
http___www.springer.com_computer_ai_book_978-3-540-43331-6 http://www.springer.com/computer/ai/book/978-3-540-43331-6
Freitas:2002:SFSC A review of evolutionary algorithms for e-commerce
AlexAlvesFreitas.html
http___www.cs.kent.ac.uk_people_staff_aaf_pub_papers.dir_EA-e-com.ps http://www.cs.kent.ac.uk/people/staff/aaf/pub_papers.dir/EA-e-com.ps
https___www.cs.kent.ac.uk_people_staff_aaf_pubs.html https://www.cs.kent.ac.uk/people/staff/aaf/pubs.html
freitas:2002:HDMKD Evolutionary Computation
AlexAlvesFreitas.html
https___www.cs.kent.ac.uk_people_staff_aaf_pubs.html https://www.cs.kent.ac.uk/people/staff/aaf/pubs.html
http___www.cs.kent.ac.uk_people_staff_aaf_pub_papers.dir_Hbk-dmkd.ps http://www.cs.kent.ac.uk/people/staff/aaf/pub_papers.dir/Hbk-dmkd.ps
http___citeseer.ist.psu.edu_460298.html http://citeseer.ist.psu.edu/460298.html
Freitas:2002:AiEC A survey of evolutionary algorithms for data mining and knowledge discovery
AlexAlvesFreitas.html
http___www.macs.hw.ac.uk__dwcorne_Teaching_freitas01survey.pdf http://www.macs.hw.ac.uk/~dwcorne/Teaching/freitas01survey.pdf
https___www.cs.kent.ac.uk_people_staff_aaf_pubs.html https://www.cs.kent.ac.uk/people/staff/aaf/pubs.html
Soft-Comp-KDDM-2007 A Review of evolutionary Algorithms for Data Mining
AlexAlvesFreitas.html
https___www.cs.kent.ac.uk_people_staff_aaf_pub_papers.dir_Soft-Comp-KDDM-2007.pdf https://www.cs.kent.ac.uk/people/staff/aaf/pub_papers.dir/Soft-Comp-KDDM-2007.pdf
http___dx.doi.org_10.1007_978-0-387-69935-6_4 http://dx.doi.org/10.1007/978-0-387-69935-6_4
reference/dataware/FreitasP09 Genetic Programming for Automatically Constructing Data Mining Algorithms
AlexAlvesFreitas.html
GiseleLPappa.html
http___www.igi-global.com_bookstore_titledetails.aspx_titleid_346_detailstype_chapters http://www.igi-global.com/bookstore/titledetails.aspx?titleid=346&detailstype=chapters
http___dx.doi.org_10.4018_978-1-60566-010-3 http://dx.doi.org/10.4018/978-1-60566-010-3
Freitas:2013:NICSO Automating the Design of Data Mining Algorithms with Genetic Programming
AlexAlvesFreitas.html
http___link.springer.com_content_pdf_bfm_3A978-3-319-01692-4_2F1.pdf http://link.springer.com/content/pdf/bfm%3A978-3-319-01692-4%2F1.pdf
http___dx.doi.org_10.1007_978-3-319-01692-4 http://dx.doi.org/10.1007/978-3-319-01692-4
french:2001:gecco Evolving a Nervous System of Spiking Neurons for a Behaving Robot
RLBFrench.html
RobertIDamper.html
http___gpbib.cs.ucl.ac.uk_gecco2001_french_2001_gecco.pdf http://gpbib.cs.ucl.ac.uk/gecco2001/french_2001_gecco.pdf
frey:2001:gecco Evolving Strategies for Global Optimization - A Finite State Machine Approach
ClemensFrey.html
GunterLeugering.html
http___gpbib.cs.ucl.ac.uk_gecco2001_d01.pdf http://gpbib.cs.ucl.ac.uk/gecco2001/d01.pdf
frey:2002a Co-Evolution of Finite State Machines for Optimization: Promotion of Devices Which Search Globally
ClemensFrey.html
http___dx.doi.org_10.1142_S1469026802000397 http://dx.doi.org/10.1142/S1469026802000397
Frey:thesis Virtual Ecosystems - Evolutionary and Genetic Programming from the perspective of modern means of ecosystem-modelling
ClemensFrey.html
frey:2002 Virtual Ecosystems - Evolutionary and Genetic Programming from the perspective of modern means of ecosystem-modelling
ClemensFrey.html
http___www.bayceer.uni-bayreuth.de_bitoek_en_best_best_best.php_id_obj_9207 http://www.bayceer.uni-bayreuth.de/bitoek/en/best/best/best.php?id_obj=9207
Freyeretal1998 Evolutionary Generation and Refinement of Mathematical Process Models
StephanFreyer.html
JorgGraefe.html
MatthiasHeinzel.html
PeterMarenbach.html
http___www.rtr.tu-darmstadt.de_fileadmin_literature_rst_98_08.pdf http://www.rtr.tu-darmstadt.de/fileadmin/literature/rst_98_08.pdf
http___www.rt.e-technik.tu-darmstadt.de_LIT http://www.rt.e-technik.tu-darmstadt.de/LIT
Frias-Martinez:2007 Automatic Generation of Cognitive Theories using Genetic Programming
EnriqueFrias-Martinez.html
FernandGobet.html
http___dx.doi.org_10.1007_s11023-007-9070-6 http://dx.doi.org/10.1007/s11023-007-9070-6
Friedel20111583 A data-driven approach for modeling post-fire debris-flow volumes and their uncertainty
MichaelJFriedel.html
http___dx.doi.org_10.1016_j.envsoft.2011.07.014 http://dx.doi.org/10.1016/j.envsoft.2011.07.014
http___www.sciencedirect.com_science_article_pii_S1364815211001757 http://www.sciencedirect.com/science/article/pii/S1364815211001757
Friedlander:2011:MaFRUGPfCVTW Meta-Learning and Feature Ranking Using Genetic Programming for Classification: Variable Terminal Weighting
AnnaFriedlander.html
KouroshNeshatian.html
MengjieZhang.html
http___dx.doi.org_10.1109_CEC.2011.5949719 http://dx.doi.org/10.1109/CEC.2011.5949719
friedman:2000:EPPR Evolving a Program to Play Rock-Paper-Scissors
PatriFriedman.html
friedrich:1996:emfgbb An Evolutionary Method to Find Good Building-Blocks for Architectures of Artificial Neural Networks
ChristophMFriedrich.html
ClaudioMoraga.html
http___citeseer.ist.psu.edu_friedrich96evolutionary.html http://citeseer.ist.psu.edu/friedrich96evolutionary.html
Friedrich:2019:GECCO Optimizing evolutionary CSG tree extraction
MarkusFriedrich.html
Pierre-AlainFayolle.html
ThomasGabor.html
ClaudiaLinnhoff-Popien.html
http___dx.doi.org_10.1145_3321707.3321771 http://dx.doi.org/10.1145/3321707.3321771
Friese:2012:dortmund Ensemble-Based Model Selection for Smart Metering Data
MartinaFriese.html
OliverFlasch.html
Ekaterina_Katya_Vladislavleva.html
ThomasBartz-Beielstein.html
OlafMersmann.html
BorisNaujoks.html
JoergStork.html
MartinZaefferer.html
http___www.buchoffizin.de_produkt_9783866449176.html http://www.buchoffizin.de/produkt/9783866449176.html
https___publikationen.bibliothek.kit.edu_1000029917_2355761 https://publikationen.bibliothek.kit.edu/1000029917/2355761
https___publikationen.bibliothek.kit.edu_1000029917 https://publikationen.bibliothek.kit.edu/1000029917
http___dx.doi.org_10.5445_KSP_1000029917 http://dx.doi.org/10.5445/KSP/1000029917
froehlich:2019:LaIO Creating a Multi-iterative-Priority-Rule for the Job Shop Scheduling Problem with Focus on Tardy Jobs via Genetic Programming
GeorgEAFroehlich.html
GuenterKiechle.html
KarlFDoerner.html
http___link.springer.com_chapter_10.1007_978-3-030-05348-2_6 http://link.springer.com/chapter/10.1007/978-3-030-05348-2_6
http___dx.doi.org_10.1007_978-3-030-05348-2_6 http://dx.doi.org/10.1007/978-3-030-05348-2_6
Froehlich:thesis A Fully Fledged HDL Design Flow for In-Memory Computing with Approximation Support
SamanFroehlich.html
https___doi.org_10.26092_elib_1397 https://doi.org/10.26092/elib/1397
https___media.suub.uni-bremen.de_handle_elib_5742 https://media.suub.uni-bremen.de/handle/elib/5742
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http___dx.doi.org_10.26092_elib_1397 http://dx.doi.org/10.26092/elib/1397
DBLP:journals/it/FrohlichD22 Unlocking approximation for in-memory computing with Cartesian genetic programming and computer algebra for arithmetic circuits
SamanFroehlich.html
RolfDrechsler.html
https___doi.org_10.1515_itit-2021-0042 https://doi.org/10.1515/itit-2021-0042
http___dx.doi.org_10.1515_itit-2021-0042 http://dx.doi.org/10.1515/itit-2021-0042
https___dblp.org_rec_journals_it_FrohlichD22.bib https://dblp.org/rec/journals/it/FrohlichD22.bib
Froemmgen:2015:ieeeICAC Fossa: Learning ECA Rules for Adaptive Distributed Systems
AlexanderFroemmgen.html
RobertRehner.html
MaxLehn.html
AlejandroBuchmann.html
http___dx.doi.org_10.1109_ICAC.2015.37 http://dx.doi.org/10.1109/ICAC.2015.37
Froemmgen:2015:ieeeLCN Fossa: Using genetic programming to learn ECA rules for adaptive networking applications
AlexanderFroemmgen.html
RobertRehner.html
MaxLehn.html
AlejandroBuchmann.html
http___dx.doi.org_10.1109_LCN.2015.7366305 http://dx.doi.org/10.1109/LCN.2015.7366305
fry:2003:gecco Enhancing the Performance of GP Using an Ancestry-Based Mate Selection Scheme
RodneyFry.html
AndrewMTyrrell.html
http___dx.doi.org_10.1007_3-540-45110-2_73 http://dx.doi.org/10.1007/3-540-45110-2_73
Fry:thesis Self-adaptive mate choice: Extending the selection model in genetic programming
RodneyFry.html
http___ethos.bl.uk_OrderDetails.do_did_1_uin_uk.bl.ethos.437598 http://ethos.bl.uk/OrderDetails.do?did=1&uin=uk.bl.ethos.437598
fry:2005:CEC A Self-Adaptive Mate Selection Model for Genetic Programming
RodneyFry.html
StephenLSmith.html
AndrewMTyrrell.html
http___dx.doi.org_10.1109_CEC.2005.1555034 http://dx.doi.org/10.1109/CEC.2005.1555034
Fry:2012:ISSTA A Human Study of Patch Maintainability
ZacharyPFry.html
BryanAlexanderLandau.html
WestleyWeimer.html
https___web.eecs.umich.edu__weimerw_p_FryISSTA12_PREPRINT.pdf https://web.eecs.umich.edu/~weimerw/p/FryISSTA12_PREPRINT.pdf
http___doi.acm.org_10.1145_2338965.2336775 http://doi.acm.org/10.1145/2338965.2336775
http___dx.doi.org_10.1145_2338965.2336775 http://dx.doi.org/10.1145/2338965.2336775
zak-phd Leveraging Light-Weight Analyses to Aid Software Maintenance
ZacharyPFry.html
https___web.eecs.umich.edu__weimerw_students_zak-phd.pdf https://web.eecs.umich.edu/~weimerw/students/zak-phd.pdf
http___dx.doi.org_10.18130_V34N7R http://dx.doi.org/10.18130/V34N7R
Fu:2010:ICNC Improved gene expression programming and its application to QSAR
WeizhongFu.html
YuntaoZhang.html
ZhengjunCheng.html
http___dx.doi.org_10.1109_ICNC.2010.5584850 http://dx.doi.org/10.1109/ICNC.2010.5584850
Fu:2011:GPFEDAGA Genetic Programming For Edge Detection: A Global Approach
WenlongFu.html
MarkJohnston.html
MengjieZhang.html
http___dx.doi.org_10.1109_CEC.2011.5949626 http://dx.doi.org/10.1109/CEC.2011.5949626
conf/ausai/FuJZ11 Genetic Programming for Edge Detection Based on Accuracy of Each Training Image
WenlongFu.html
MarkJohnston.html
MengjieZhang.html
http___dx.doi.org_10.1007_978-3-642-25832-9_31 http://dx.doi.org/10.1007/978-3-642-25832-9_31
Fu:2012:CEC Soft Edge Maps From Edge Detectors Evolved by Genetic Programming
WenlongFu.html
MarkJohnston.html
MengjieZhang.html
http___dx.doi.org_10.1109_CEC.2012.6256105 http://dx.doi.org/10.1109/CEC.2012.6256105
Fu:2012:CECb Genetic Programming for Edge Detection via Balancing Individual Training Images
WenlongFu.html
MarkJohnston.html
MengjieZhang.html
http___dx.doi.org_10.1109_CEC.2012.6252879 http://dx.doi.org/10.1109/CEC.2012.6252879
Fu:2012:GECCO Genetic programming for edge detection using blocks to extract features
WenlongFu.html
MarkJohnston.html
MengjieZhang.html
http___dx.doi.org_10.1145_2330163.2330282 http://dx.doi.org/10.1145/2330163.2330282
Fu:2012:GECCOcomp Genetic programming for edge detection based on figure of merit
WenlongFu.html
MarkJohnston.html
MengjieZhang.html
http___dx.doi.org_10.1145_2330784.2331003 http://dx.doi.org/10.1145/2330784.2331003
DBLP:conf/ausai/FuJZ12 Automatic Construction of Invariant Features Using Genetic Programming for Edge Detection
WenlongFu.html
MarkJohnston.html
MengjieZhang.html
http___dx.doi.org_10.1007_978-3-642-35101-3_13 http://dx.doi.org/10.1007/978-3-642-35101-3_13
Fu:2012:SEAL Figure of Merit Based Fitness Functions in Genetic Programming for Edge Detection
WenlongFu.html
MarkJohnston.html
MengjieZhang.html
http___dx.doi.org_10.1007_978-3-642-34859-4_3 http://dx.doi.org/10.1007/978-3-642-34859-4_3
Fu:evoapps13 Genetic Programming for Automatic Construction of Variant Features in Edge Detection
WenlongFu.html
MarkJohnston.html
MengjieZhang.html
http___dx.doi.org_10.1007_978-3-642-37192-9_36 http://dx.doi.org/10.1007/978-3-642-37192-9_36
Fu:evoapps13a Automatic Construction of Gaussian-Based Edge Detectors Using Genetic Programming
WenlongFu.html
MarkJohnston.html
MengjieZhang.html
http___dx.doi.org_10.1007_978-3-642-37192-9_37 http://dx.doi.org/10.1007/978-3-642-37192-9_37
Fu:2013:CEC Triangular-Distribution-Based Feature Construction Using Genetic Programming for Edge Detection
WenlongFu.html
MarkJohnston.html
MengjieZhang.html
http___dx.doi.org_10.1109_CEC.2013.6557770 http://dx.doi.org/10.1109/CEC.2013.6557770
Fu:2013:GECCO Genetic programming for edge detection using multivariate density
WenlongFu.html
MarkJohnston.html
MengjieZhang.html
http___dx.doi.org_10.1145_2463372.2463485 http://dx.doi.org/10.1145/2463372.2463485
Fu:evoapps14 Is a Single Image Sufficient for Evolving Edge Features by Genetic Programming?
WenlongFu.html
MarkJohnston.html
MengjieZhang.html
http___dx.doi.org_10.1007_978-3-662-45523-4_37 http://dx.doi.org/10.1007/978-3-662-45523-4_37
Fu:2014:CEC Unsupervised Learning for Edge Detection Using Genetic Programming
WenlongFu.html
MarkJohnston.html
MengjieZhang.html
http___dx.doi.org_10.1109_CEC.2014.6900444 http://dx.doi.org/10.1109/CEC.2014.6900444
Fu:2014:ieeec Low-Level Feature Extraction for Edge Detection Using Genetic Programming
WenlongFu.html
MarkJohnston.html
MengjieZhang.html
http___dx.doi.org_10.1109_TCYB.2013.2286611 http://dx.doi.org/10.1109/TCYB.2013.2286611
conf/seal/FuJZ14 Automatic Resolution Selection for Edge Detection Using Genetic Programming
WenlongFu.html
MarkJohnston.html
MengjieZhang.html
http___dx.doi.org_10.1007_978-3-319-13563-2 http://dx.doi.org/10.1007/978-3-319-13563-2
Fu:2015:SC Distribution-based invariant feature construction using genetic programming for edge detection
WenlongFu.html
MarkJohnston.html
MengjieZhang.html
http___dx.doi.org_10.1007_s00500-014-1432-4 http://dx.doi.org/10.1007/s00500-014-1432-4
Fu:2016:SC Genetic programming for edge detection: a Gaussian-based approach
WenlongFu.html
MarkJohnston.html
MengjieZhang.html
http___dx.doi.org_10.1007_s00500-014-1585-1 http://dx.doi.org/10.1007/s00500-014-1585-1
conf/seal/FuXZG17 Transductive Transfer Learning in Genetic Programming for Document Classification
WenlongFu.html
BingXue.html
MengjieZhang.html
Xiaoying_Sharon_Gao.html
http___dx.doi.org_10.1007_978-3-319-68759-9_45 http://dx.doi.org/10.1007/978-3-319-68759-9_45
Fu:2018:ieeeCIM Fast Unsupervised Edge Detection Using Genetic Programming [Application Notes]
WenlongFu.html
BingXu.html
MengjieZhang.html
MarkJohnston.html
http___dx.doi.org_10.1109_MCI.2018.2866729 http://dx.doi.org/10.1109/MCI.2018.2866729
Fu:2019:CEC Genetic Programming based Transfer Learning for Document Classification with Self-taught and Ensemble Learning
WenlongFu.html
BingXue.html
Xiaoying_Sharon_Gao.html
MengjieZhang.html
http___dx.doi.org_10.1109_CEC.2019.8790318 http://dx.doi.org/10.1109/CEC.2019.8790318
fu:SC Bayesian genetic programming for edge detection
WenlongFu.html
MengjieZhang.html
MarkJohnston.html
http___link.springer.com_article_10.1007_s00500-018-3059-3 http://link.springer.com/article/10.1007/s00500-018-3059-3
http___dx.doi.org_10.1007_s00500-018-3059-3 http://dx.doi.org/10.1007/s00500-018-3059-3
FU:2021:ASC Transductive transfer learning based Genetic Programming for balanced and unbalanced document classification using different types of features
WenlongFu.html
BingXue.html
Xiaoying_Sharon_Gao.html
MengjieZhang.html
http___dx.doi.org_10.1016_j.asoc.2021.107172 http://dx.doi.org/10.1016/j.asoc.2021.107172
https___www.sciencedirect.com_science_article_pii_S1568494621000958 https://www.sciencedirect.com/science/article/pii/S1568494621000958
FU:2021:KS Output-based transfer learning in genetic programming for document classification
WenlongFu.html
BingXue.html
Xiaoying_Sharon_Gao.html
MengjieZhang.html
http___dx.doi.org_10.1016_j.knosys.2020.106597 http://dx.doi.org/10.1016/j.knosys.2020.106597
https___www.sciencedirect.com_science_article_pii_S0950705120307267 https://www.sciencedirect.com/science/article/pii/S0950705120307267
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WenlongFu.html
BingXue.html
MengjieZhang.html
JanSchindler.html
http___link.springer.com_chapter_10.1007_978-3-031-25825-1_14 http://link.springer.com/chapter/10.1007/978-3-031-25825-1_14
http___dx.doi.org_10.1007_978-3-031-25825-1_14 http://dx.doi.org/10.1007/978-3-031-25825-1_14
Fu:2024:CYB Genetic Programming for Document Classification: A Transductive Transfer Learning System
WenlongFu.html
BingXue.html
Xiaoying_Sharon_Gao.html
MengjieZhang.html
http___dx.doi.org_10.1109_TCYB.2023.3338266 http://dx.doi.org/10.1109/TCYB.2023.3338266
Fu:2018:ICBK Stochastic Optimization for Market Return Prediction Using Financial Knowledge Graph
XiaoyiFu.html
XinqiRen.html
OleJMengshoel.html
XindongWu.html
http___dx.doi.org_10.1109_ICBK.2018.00012 http://dx.doi.org/10.1109/ICBK.2018.00012
DBLP:books/daglib/0001382 Cooperation in Heterogeneous Theorem Prover Networks
DirkFuchs.html
https___www.iospress.nl_book_cooperation-in-heterogeneous-theorem-prover-networks_ https://www.iospress.nl/book/cooperation-in-heterogeneous-theorem-prover-networks/
http___d-nb.info_958744947 http://d-nb.info/958744947
https___dblp.org_rec_books_daglib_0001382.bib https://dblp.org/rec/books/daglib/0001382.bib
https___katalog.ub.tu-braunschweig.de_vufind_Search2Record_313528276 https://katalog.ub.tu-braunschweig.de/vufind/Search2Record/313528276
Fuchs:1997:spclGP Solving Problems of Combinatory Logic with Genetic Programming
MatthiasFuchs.html
DirkFuchs.html
MarcFuchs.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_gp1997_Fuchs_1997_spclGP.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/gp1997/Fuchs_1997_spclGP.pdf
fuchs:1998:xmetsc Crossover versus Mutation: An Empirical and Theoretical Case Study
MatthiasFuchs.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_gp1998_fuchs_1998_xmetsc.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/gp1998/fuchs_1998_xmetsc.pdf
fuchs:1998:ARP-09 A Data Mining Approach to Support the Creation of Loop Invariants Using Genetic Programming
MatthiasFuchs.html
http___arp.anu.edu.au_ftp_techreports_1998_TR-ARP-09-98.ps.gz http://arp.anu.edu.au/ftp/techreports/1998/TR-ARP-09-98.ps.gz
fuchs:1999:GLTPSUGP Generating Lemmas for Tableau-based Proof Search Using Genetic Programming
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DBLP:books/daglib/0001380 Relevancy based Use of Lemmas in Connection Tableau Calculi
MarcFuchs.html
https___dblp.org_rec_books_daglib_0001380.bib https://dblp.org/rec/books/daglib/0001380.bib
https___www.iospress.nl_book_relevancy-based-use-of-lemmas-in-connection-tableau-calculi_ https://www.iospress.nl/book/relevancy-based-use-of-lemmas-in-connection-tableau-calculi/
http___d-nb.info_958746656 http://d-nb.info/958746656
fuchs:1999:LPANATBCIGP Large Populations Are Not Always The Best Choice In Genetic Programming
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Fuchs:1999:AJ Evolving Gallery Layouts With Genetic Programming
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LuisAFuente.html
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AlexanderPTurner.html
SusanStepney.html
LeoCaves.html
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http___www.sciencedirect.com_science_article_pii_S0303264713000506 http://www.sciencedirect.com/science/article/pii/S0303264713000506
http___dx.doi.org_10.1016_j.biosystems.2013.03.006 http://dx.doi.org/10.1016/j.biosystems.2013.03.006
fuente2015harmonic Harmonic Versus Chaos Controlled Oscillators in Hexapedal Locomotion
LuisAFuente.html
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NigelTCrook.html
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http___dx.doi.org_10.1007_978-3-319-23108-2_10 http://dx.doi.org/10.1007/978-3-319-23108-2_10
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Jose-AntonioFuentes-Tomas.html
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http___dx.doi.org_10.1109_TEVC.2024.3353182 http://dx.doi.org/10.1109/TEVC.2024.3353182
fuhner:2001:gecco EvolVision - an Evolvica visualization tool
TimFuhner.html
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http___gpbib.cs.ucl.ac.uk_gecco2001_d02.pdf http://gpbib.cs.ucl.ac.uk/gecco2001/d02.pdf
DBLP:conf/snpd/FukuiH22 Concurrency Control Program Generation in Genetic Programming Considering Depth of the Program Tree
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https___doi.org_10.1109_SNPD-Summer57817.2022.00018 https://doi.org/10.1109/SNPD-Summer57817.2022.00018
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https___dblp.org_rec_conf_snpd_FukuiH22.bib https://dblp.org/rec/conf/snpd/FukuiH22.bib
fukunaga:1995:dsef Improving the Performance of Evolutionary Optimization by Dynamically Scaling the Evolution Function
AlexSFukunaga.html
AndrewBKahng.html
http___metahack.org_Fukunaga-Kahng-ICEC-1995.pdf http://metahack.org/Fukunaga-Kahng-ICEC-1995.pdf
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fukunaga:1998:gchpGP A Genome Compiler for High Performance Genetic Programming
AlexSFukunaga.html
AndreStechert.html
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http___metahack.org_gp98-compiler.pdf http://metahack.org/gp98-compiler.pdf
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fukunaga:1998:enlpmllicGP Evolving Nonlinear Predictive Models for Lossless Image Compression with Genetic Programming
AlexSFukunaga.html
AndreStechert.html
http___www.bol.ucla.edu__fukunaga_gp98-compress.pdf http://www.bol.ucla.edu/~fukunaga/gp98-compress.pdf
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fukunaga:2002:AAAI Automated Discovery of Composite SAT Variable Selection Heuristics
AlexSFukunaga.html
http___citeseer.nj.nec.com_506523.html http://citeseer.nj.nec.com/506523.html
http___www.bol.ucla.edu__fukunaga_AAAI02.pdf http://www.bol.ucla.edu/~fukunaga/AAAI02.pdf
fukunaga:els:gecco2004 Evolving Local Search Heuristics for SAT Using Genetic Programming
AlexSFukunaga.html
http___alexf04.maclisp.org_gecco2004.pdf http://alexf04.maclisp.org/gecco2004.pdf
http___dx.doi.org_10.1007_978-3-540-24855-2_59 http://dx.doi.org/10.1007/978-3-540-24855-2_59
http___dx.doi.org_10.1007_b98645 http://dx.doi.org/10.1007/b98645
Fukunaga:2008:EC Automated Discovery of Local Search Heuristics for Satisfiability Testing
AlexSFukunaga.html
http___metahack.org_ecj08-web-preprint.pdf http://metahack.org/ecj08-web-preprint.pdf
http___dx.doi.org_10.1162_evco.2008.16.1.31 http://dx.doi.org/10.1162/evco.2008.16.1.31
Fukunaga:2009:lisp A Parallel, Lisp-Based Genetic Programming System for Discovering Satisfiability Solvers
AlexSFukunaga.html
Fukunaga:2009:cec Massively Parallel Evolution of SAT Heuristics
AlexSFukunaga.html
http___dx.doi.org_10.1109_CEC.2009.4983117 http://dx.doi.org/10.1109/CEC.2009.4983117
Fukunaga:2012:GPEM Evolving controllers for high-level applications on a service robot: a case study with exhibition visitor flow control
AlexSFukunaga.html
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KazukiKomiya.html
HitoshiIba.html
http___dx.doi.org_10.1007_s10710-011-9152-3 http://dx.doi.org/10.1007/s10710-011-9152-3
Fukushima:2012:SICE Figure classification system of laser beam trace using Genetic Programming
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YoshihiroMinato.html
http___ieeexplore.ieee.org_xpl_articleDetails.jsp_tp__arnumber_6318448 http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6318448
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PabloJFunes.html
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PabloJFunes.html
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HuguesJuille.html
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http___www.sigevolution.org_issues_pdf_SIGEVOlution200703.pdf http://www.sigevolution.org/issues/pdf/SIGEVOlution200703.pdf
Funie:2014:ICMLA A Hybrid Genetic-Programming Swarm-Optimisation Approach for Examining the Nature and Stability of High Frequency Trading Strategies
AndreeaIngridCross.html
MarkSalmon.html
WayneLuk.html
http___dx.doi.org_10.1109_ICMLA.2014.11 http://dx.doi.org/10.1109/ICMLA.2014.11
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AndreeaIngridCross.html
PaulGrigoras.html
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http___dx.doi.org_10.1109_ASAP.2015.7245736 http://dx.doi.org/10.1109/ASAP.2015.7245736
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AndreeaIngridCross.html
PaulGrigoras.html
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WayneLuk.html
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http___hdl.handle.net_10044_1_52831 http://hdl.handle.net/10044/1/52831
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http___dx.doi.org_10.1007_s11265-017-1244-8 http://dx.doi.org/10.1007/s11265-017-1244-8
https___rdcu.be_dnO7k https://rdcu.be/dnO7k
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WlodzimierzFunika.html
PawelKoperek.html
http___dx.doi.org_10.1007_978-3-642-55224-3 http://dx.doi.org/10.1007/978-3-642-55224-3
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MuhammedFurkanGul.html
SibelArslan.html
BilgisayarMuhendisligi.html
YazilimMuhendisligi.html
http___dx.doi.org_10.1109_SIU59756.2023.10223926 http://dx.doi.org/10.1109/SIU59756.2023.10223926
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MarcusFuruholmen.html
MatsErlingHovin.html
JimTorresen.html
KyrreHaraldGlette.html
http___dx.doi.org_10.1109_LAB-RS.2008.13 http://dx.doi.org/10.1109/LAB-RS.2008.13
furuholmen2008indirect Indirect Online Evolution - A Conceptual Framework for Adaptation in Industrial Robotic Systems
MarcusFuruholmen.html
KyrreHaraldGlette.html
JimTorresen.html
MatsErlingHovin.html
http___dx.doi.org_10.1007_978-3-540-85857-7_15 http://dx.doi.org/10.1007/978-3-540-85857-7_15
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MarcusFuruholmen.html
KyrreHaraldGlette.html
MatsErlingHovin.html
JimTorresen.html
http___dx.doi.org_10.1109_CEC.2009.4983295 http://dx.doi.org/10.1109/CEC.2009.4983295
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MarcusFuruholmen.html
KyrreHaraldGlette.html
MatsErlingHovin.html
JimTorresen.html
http___dx.doi.org_10.1145_1569901.1569997 http://dx.doi.org/10.1145/1569901.1569997
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MarcusFuruholmen.html
KyrreHaraldGlette.html
MatsErlingHovin.html
JimTorressen.html
http___dx.doi.org_10.1007_978-3-642-12148-7_8 http://dx.doi.org/10.1007/978-3-642-12148-7_8
Furuholmen:2010:cec A Coevolutionary, Hyper Heuristic approach to the optimization of Three-dimensional Process Plant Layouts -A comparative study
MarcusFuruholmen.html
KyrreHaraldGlette.html
MatsErlingHovin.html
JimTorresen.html
http___dx.doi.org_10.1109_CEC.2010.5586329 http://dx.doi.org/10.1109/CEC.2010.5586329
fyfe:1999:AFE Technical analysis versus market efficiency - a genetic programming approach
ColinFyfe.html
JohnPaulMarney.html
HeatherFETarbert.html
http___alidoro.catchword.com_vl_8080356_cl_18_nw_1_fm_docpdf_rpsv_catchword_routledg_09603107_v9n2_s7_p183 http://alidoro.catchword.com/vl=8080356/cl=18/nw=1/fm=docpdf/rpsv/catchword/routledg/09603107/v9n2/s7/p183
http___dx.doi.org_10.1080_096031099332447 http://dx.doi.org/10.1080/096031099332447
Gaaloul:2021:arxiv Combining Genetic Programming and Model Checking to Generate Environment Assumptions
KhouloudGaaloul.html
ClaudioMenghi.html
ShivaNejati.html
LionelCBriand.html
YagoIsasiParache.html
https___arxiv.org_abs_2101.01933 https://arxiv.org/abs/2101.01933
https___github.com_SNTSVV_EPIcuRus https://github.com/SNTSVV/EPIcuRus
Gaaloul:thesis Verification of Design Models of Cyber-Physical Systems Specified in Simulink
KhouloudGaaloul.html
https___wwwfr.uni.lu_snt_news_events_phd_defense_verification_of_design_models_of_cyber_physical_systems_specified_in_simulink https://wwwfr.uni.lu/snt/news_events/phd_defense_verification_of_design_models_of_cyber_physical_systems_specified_in_simulink
http___hdl.handle.net_10993_48071 http://hdl.handle.net/10993/48071
https___orbilu.uni.lu_bitstream_10993_48071_1_thesis_final.pdf https://orbilu.uni.lu/bitstream/10993/48071/1/thesis_final.pdf
Gaaloul:TSE Combining Genetic Programming and Model Checking to Generate Environment Assumptions
KhouloudGaaloul.html
ClaudioMenghi.html
ShivaNejati.html
LionelCBriand.html
YagoIsasiParache.html
http___hdl.handle.net_10993_47740 http://hdl.handle.net/10993/47740
http___dx.doi.org_10.1109_TSE.2021.3101818 http://dx.doi.org/10.1109/TSE.2021.3101818
Gabbar:2014:PSEP Simulation-based fault propagation analysis-Application on hydrogen production plant
HossamAGabbar.html
SajidHussain.html
AmirHosseinHosseini.html
http___dx.doi.org_10.1016_j.psep.2013.12.006 http://dx.doi.org/10.1016/j.psep.2013.12.006
http___www.sciencedirect.com_science_article_pii_S0957582013000955 http://www.sciencedirect.com/science/article/pii/S0957582013000955
Gabel:2010:FSE A Study of the Uniqueness of Source Code
MarkGabel.html
ZhendongSu.html
http___www.cs.ucdavis.edu__su_publications_fse10.pdf http://www.cs.ucdavis.edu/~su/publications/fse10.pdf
http___dx.doi.org_10.1145_1882291.1882315 http://dx.doi.org/10.1145/1882291.1882315
DBLP:journals/corr/GaboraD13 How Did Humans Become So Creative? A Computational Approach
LianeGabora.html
SteveDiPaola.html
http___computationalcreativity.net_iccc2012_wp-content_uploads_2012_05_203-Gabora.pdf http://computationalcreativity.net/iccc2012/wp-content/uploads/2012/05/203-Gabora.pdf
http___arxiv.org_ftp_arxiv_papers_1308_1308.5032.pdf http://arxiv.org/ftp/arxiv/papers/1308/1308.5032.pdf
http___arxiv.org_abs_1308.5032 http://arxiv.org/abs/1308.5032
conf/cifer/GabrielssonJK14 Co-evolving online high-frequency trading strategies using grammatical evolution
PatrickGabrielsson.html
UlfJohansson.html
RikardKonig.html
http___ieeexplore.ieee.org_xpl_mostRecentIssue.jsp_punumber_6901616 http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=6901616
http___dx.doi.org_10.1109_CIFEr.2014.6924111 http://dx.doi.org/10.1109/CIFEr.2014.6924111
Gaddam:2023:CEC Grammatical Evolution with Adaptive Building Blocks for Traffic Light Control
JyotheeshGaddam.html
ThanhThiNguyen.html
MaiaAngelovaTurkedjieva.html
http___dx.doi.org_10.1109_CEC53210.2023.10254190 http://dx.doi.org/10.1109/CEC53210.2023.10254190
gagne:2002:gecco Open BEAGLE: A New C++ Evolutionary Computation Framework
ChristianGagne.html
MarcParizeau.html
http___gpbib.cs.ucl.ac.uk_gecco2002_GP272.pdf http://gpbib.cs.ucl.ac.uk/gecco2002/GP272.pdf
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_gecco2002_gecco-2002-15.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/gecco2002/gecco-2002-15.pdf
gagne:2002:gecco:lbp Open BEAGLE: A New Versatile C++ Framework for Evolutionary Computation
ChristianGagne.html
MarcParizeau.html
http___vision.gel.ulaval.ca_en_publications_Id_43_PublDetails.php http://vision.gel.ulaval.ca/en/publications/Id_43/PublDetails.php
http___vision.gel.ulaval.ca__parizeau_Publications_beagle-gecco.pdf http://vision.gel.ulaval.ca/~parizeau/Publications/beagle-gecco.pdf
https___chgagne.github.io_beagle_ https://chgagne.github.io/beagle/
gagne:2003:HPCS Distributed BEAGLE: An Environment for Parallel and Distributed Evolutionary Computations
ChristianGagne.html
MarcParizeau.html
MarcDubreuil.html
http___vision.gel.ulaval.ca__cgagne_pubs_hpcs03.pdf http://vision.gel.ulaval.ca/~cgagne/pubs/hpcs03.pdf
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Gagne:2003:gecco The Master-Slave Architecture for Evolutionary Computations Revisited
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gagne:gecco03lbp A Robust Master-Slave Distribution Architecture for Evolutionary Computations
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gagne:thesis Algorithmes evolutionnaires appliques a la reconnaissance des formes et a la conception optique
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oai:hal.ccsd.cnrs.fr:inria-00000996_v1 Genetic Programming, Validation Sets, and Parsimony Pressure
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http___hal.inria.fr_inria-00000996_en_ http://hal.inria.fr/inria-00000996/en/
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eurogp06:GagneSchoenauerParizeauTomassini Genetic Programming, Validation Sets, and Parsimony Pressure
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http___dx.doi.org_10.1007_11729976_10 http://dx.doi.org/10.1007/11729976_10
Gagne:2006:IJAIT Genericity in Evolutionary Computation Software Tools: Principles and Case Study
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gagne:2006:sigevo Open BEAGLE A C++ Framework for your Favorite Evolutionary Algorithm
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Gagne:PPSN:2006 Genetic Programming for Kernel-Based Learning with Co-evolving Subsets Selection
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MicheleSebag.html
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http___arxiv.org_abs_cs_0611135 http://arxiv.org/abs/cs/0611135
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Gagne:2006:ijDAR Genetic Engineering of Hierarchical Fuzzy Regional Representations for Handwritten Character Recognition
ChristianGagne.html
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http___vision.gel.ulaval.ca_fr_publications_Id_607_PublDetails.php http://vision.gel.ulaval.ca/fr/publications/Id_607/PublDetails.php
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Gagne:2007:ijPRAI Co-evolution of Nearest Neighbor Classifiers
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http___vision.gel.ulaval.ca_en_publications_Id_692_PublDetails.php http://vision.gel.ulaval.ca/en/publications/Id_692/PublDetails.php
http___dx.doi.org_10.1142_S0218001407005752 http://dx.doi.org/10.1142/S0218001407005752
Gai:2017:ieeeCLOUD Cost-Aware Multimedia Data Allocation for Heterogeneous Memory Using Genetic Algorithm in Cloud Computing
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MeikangQiu.html
HuiZhao.html
http___dx.doi.org_10.1109_TCC.2016.2594172 http://dx.doi.org/10.1109/TCC.2016.2594172
gaila_genetic_2012 Genetic Programming-based trading system: An application on the NASDAQ 100 stock index
MariaGaila.html
VassiliosVassiliadis.html
NikolaosKondakis.html
GeorgiosDounias.html
http___mde-lab.aegean.gr_images_stories_docs_CC79.pdf http://mde-lab.aegean.gr/images/stories/docs/CC79.pdf
Gaitan:2014:HIC Rediscovering Manning's Equation Using Genetic Programming
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journals/aires/GaitanBM16 Can we obtain viable alternatives to Manning's equation using genetic programming?
CarlosFGaitan.html
VenkatramaniBalaji.html
BerrienMooreIII.html
http___dx.doi.org_10.5430_air.v5n2p92 http://dx.doi.org/10.5430/air.v5n2p92
conf/evoW/GajdaK08 Evolving a Vision-Driven Robot Controller for Real-World Indoor Navigation
PawelGajda.html
KrzysztofKrawiec.html
http___dx.doi.org_10.1007_978-3-540-78761-7_19 http://dx.doi.org/10.1007/978-3-540-78761-7_19
Gajda:2009:cec Gate-Level Optimization of Polymorphic Circuits Using Cartesian Genetic Programming
ZbysekGajda.html
LukasSekanina.html
http___dx.doi.org_10.1109_CEC.2009.4983133 http://dx.doi.org/10.1109/CEC.2009.4983133
Gajda:2010:gecco When does Cartesian genetic programming minimize the phenotype size implicitly?
ZbysekGajda.html
LukasSekanina.html
http___dx.doi.org_10.1145_1830483.1830661 http://dx.doi.org/10.1145/1830483.1830661
Gajda:2010:ICES An Efficient Selection Strategy for Digital Circuit Evolution
ZbysekGajda.html
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http___dx.doi.org_10.1007_978-3-642-15323-5_2 http://dx.doi.org/10.1007/978-3-642-15323-5_2
DBLP:phd/basesearch/Gajda11 Evolutionary Approach to Synthesis and Optimization of Ordinary and Polymorphic Circuits
ZbysekGajda.html
https___dblp.org_rec_phd_basesearch_Gajda11.bib https://dblp.org/rec/phd/basesearch/Gajda11.bib
https___hdl.handle.net_11012_63257 https://hdl.handle.net/11012/63257
https___dspace.vutbr.cz_handle_11012_63257 https://dspace.vutbr.cz/handle/11012/63257
https___www.vut.cz_www_base_zav_prace_soubor_verejne.php_file_id_136902 https://www.vut.cz/www_base/zav_prace_soubor_verejne.php?file_id=136902
Galaviz-Aguilar:2019:SC Comparison of a genetic programming approach with ANFIS for power amplifier behavioral modeling and FPGA implementation
JoseAlejandroGalaviz-Aguilar.html
PatrickRoblin.html
JoseRicardoCardenasValdez.html
EmigdioZ-Flores.html
LeonardoTrujillo.html
JoseCruzNunezPerez.html
OliverSchuetze.html
http___dx.doi.org_10.1007_s00500-017-2941-8 http://dx.doi.org/10.1007/s00500-017-2941-8
galeano:2002:stiosaapgople Studying the influence of Synchronous and Asynchronous parallel GP on Programs' Length Evolution
GermanGaleano.html
FranciscoFernandezdeVega.html
MarcoTomassini.html
LeonardoVanneschi.html
http___dynamics.org__altenber_UH_ICS_EC_REFS_GP_REFS_IEEE_WCCI2002_7126.pdf_origin_publication_detail http://dynamics.org/~altenber/UH_ICS/EC_REFS/GP_REFS/IEEE/WCCI2002/7126.pdf?origin=publication_detail
http___dx.doi.org_10.1109_CEC.2002.1004503 http://dx.doi.org/10.1109/CEC.2002.1004503
galos:2003:gecco A General Approach to Automatic Programming Using Occam's Razor, Compression, and Self-Inspection
PeterGalos.html
PeterNordin.html
JoelOlsen.html
KristoferSundenRingner.html
http___dx.doi.org_10.1007_3-540-45110-2_74 http://dx.doi.org/10.1007/3-540-45110-2_74
lopez:2004:eurogp Reusing Code in Genetic Programming
EdgarGalvanLopez.html
RiccardoPoli.html
CarlosArtemioCoelloCoello.html
http___delta.cs.cinvestav.mx__ccoello_conferences_eurogp04.pdf.gz http://delta.cs.cinvestav.mx/~ccoello/conferences/eurogp04.pdf.gz
http___dx.doi.org_10.1007_978-3-540-24650-3_34 http://dx.doi.org/10.1007/978-3-540-24650-3_34
Lopez:gecco05lbp Beneficial Aspects of Neutrality in GP
EdgarGalvanLopez.html
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RiccardoPoli.html
http___gpbib.cs.ucl.ac.uk_gecco2005lbp_papers_45-lopez.pdf http://gpbib.cs.ucl.ac.uk/gecco2005lbp/papers/45-lopez.pdf
Lopez:PPSN:2006 The Importance of Neutral Mutations in GP
EdgarGalvanLopez.html
KatyaRodriguez-Vazquez.html
http___ppsn2006.raunvis.hi.is_proceedings_208.pdf http://ppsn2006.raunvis.hi.is/proceedings/208.pdf
https___mural.maynoothuniversity.ie_15437_ https://mural.maynoothuniversity.ie/15437/
http___dx.doi.org_10.1007_11844297_88 http://dx.doi.org/10.1007/11844297_88
eurogp07:Galvan-Lopez Multiple Interactive Outputs in a Single Tree: An Empirical Investigation
EdgarGalvanLopez.html
KatyaRodriguez-Vazquez.html
http___dx.doi.org_10.1007_978-3-540-71605-1_32 http://dx.doi.org/10.1007/978-3-540-71605-1_32
Galvan-Lopez:2008:eurogp The Effects of Constant Neutrality on Performance and Problem Hardness in GP
EdgarGalvanLopez.html
StephenDignum.html
RiccardoPoli.html
https___mural.maynoothuniversity.ie_15432_ https://mural.maynoothuniversity.ie/15432/
http___dx.doi.org_10.1007_978-3-540-78671-9_27 http://dx.doi.org/10.1007/978-3-540-78671-9_27
galvan-lopez:2008:IJAC Efficient graph-based genetic programming representation with multiple outputs
EdgarGalvanLopez.html
http___link.springer.com_article_10.1007_s11633-008-0081-4 http://link.springer.com/article/10.1007/s11633-008-0081-4
http___dx.doi.org_10.1007_s11633-008-0081-4 http://dx.doi.org/10.1007/s11633-008-0081-4
Galvan:thesis An Analysis of the Effects of Neutrality on Problem Hardness for Evolutionary Algorithms
EdgarGalvanLopez.html
http___www.essex.ac.uk_csee_news_and_seminars_newsEvent.aspx_e_id_5658 http://www.essex.ac.uk/csee/news_and_seminars/newsEvent.aspx?e_id=5658
http___www.essex.ac.uk_csee_department_news_newsletter_08_12_08.aspx http://www.essex.ac.uk/csee/department/news/newsletter/08_12_08.aspx
http___ethos.bl.uk_OrderDetails.do_uin_uk.bl.ethos.495801 http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.495801
DBLP:conf/micai/LopezP09 An Empirical Investigation of How Degree Neutrality Affects GP Search
EdgarGalvanLopez.html
RiccardoPoli.html
https___dblp.org_rec_conf_micai_LopezP09.bib https://dblp.org/rec/conf/micai/LopezP09.bib
https___www.cs.nuim.ie__egalvan_papers_AnEmpiricalDegree_Galvan2009.pdf https://www.cs.nuim.ie/~egalvan/papers/AnEmpiricalDegree_Galvan2009.pdf
http___dx.doi.org_10.1007_978-3-642-05258-3_64 http://dx.doi.org/10.1007/978-3-642-05258-3_64
Galvan-Lopez:2009:MICAI Towards Understanding the Effects of Locality in GP
EdgarGalvanLopez.html
MichaelO'Neill.html
AnthonyBrabazon.html
http___dx.doi.org_10.1109_MICAI.2009.17 http://dx.doi.org/10.1109/MICAI.2009.17
galvanlopez:2010:evogames Evolving a Ms. PacMan Controller Using Grammatical Evolution
EdgarGalvanLopez.html
JohnMarkSwafford.html
MichaelO'Neill.html
AnthonyBrabazon.html
http___dx.doi.org_10.1007_978-3-642-12239-2_17 http://dx.doi.org/10.1007/978-3-642-12239-2_17
GalvanLopez:2010:gecco Towards an understanding of locality in genetic programming
EdgarGalvanLopez.html
JamesMcDermott.html
MichaelO'Neill.html
AnthonyBrabazon.html
http___dx.doi.org_10.1145_1830483.1830646 http://dx.doi.org/10.1145/1830483.1830646
galvan-lopez_etal:cec2010 Comparing the Performance of the Evolvable PiGrammatical Evolution Genotype-Phenotype Map to Grammatical Evolution in the Dynamic Ms. Pac-Man Environment
EdgarGalvanLopez.html
DavidFagan.html
EoinMurphy.html
JohnMarkSwafford.html
AlexandrosAgapitos.html
MichaelO'Neill.html
AnthonyBrabazon.html
http___dx.doi.org_10.1109_CEC.2010.5586508 http://dx.doi.org/10.1109/CEC.2010.5586508
galvan-lopez_etal_ii:cec2010 Defining Locality in Genetic Programming to Predict Performance
EdgarGalvanLopez.html
JamesMcDermott.html
MichaelO'Neill.html
AnthonyBrabazon.html
http___dx.doi.org_10.1109_CEC.2010.5586095 http://dx.doi.org/10.1109/CEC.2010.5586095
GalvanLopezPKOB:2011:ESNeEAWDWK Neutrality in Evolutionary Algorithms... What do we know?
EdgarGalvanLopez.html
RiccardoPoli.html
AhmedKattan.html
MichaelO'Neill.html
AnthonyBrabazon.html
http___dx.doi.org_10.1007_s12530-011-9030-5 http://dx.doi.org/10.1007/s12530-011-9030-5
Galvan:2012:evolve Locality in Continuous Fitness-Valued Cases and Genetic Programming Difficulty
EdgarGalvanLopez.html
LeonardoTrujillo.html
JamesMcDermott.html
AhmedKattan.html
http___dx.doi.org_10.1007_978-3-642-31519-0_3 http://dx.doi.org/10.1007/978-3-642-31519-0_3
Galvan-Lopez:2011:GPEM Defining locality as a problem difficulty measure in genetic programming
EdgarGalvanLopez.html
JamesMcDermott.html
MichaelO'Neill.html
AnthonyBrabazon.html
http___dx.doi.org_10.1007_s10710-011-9136-3 http://dx.doi.org/10.1007/s10710-011-9136-3
Galvan-Lopez:2013:CEC Using Semantics in the Selection Mechanism in Genetic Programming: a Simple Method for Promoting Semantic Diversity
EdgarGalvanLopez.html
BrendanCody-Kenny.html
LeonardoTrujillo.html
AhmedKattan.html
http___dx.doi.org_10.1109_CEC.2013.6557931 http://dx.doi.org/10.1109/CEC.2013.6557931
Galvan-Lopez:2016:PPSN On the Use of Semantics in Multi-Objective Genetic Programming
EdgarGalvanLopez.html
EfrenMezura-Montes.html
OuassimAitElhara.html
MarcSchoenauer.html
http___dx.doi.org_10.1007_978-3-319-45823-6_33 http://dx.doi.org/10.1007/978-3-319-45823-6_33
Lopez:2016:MICAI Stochastic Semantic-Based Multi-objective Genetic Programming Optimisation for Classification of Imbalanced Data
EdgarGalvanLopez.html
LuciaVazquez-Mendoza.html
LeonardoTrujillo.html
http___dx.doi.org_10.1007_978-3-319-62428-0_22 http://dx.doi.org/10.1007/978-3-319-62428-0_22
Lopez:2017:EA On the Use of Dynamic GP Fitness Cases in Static and Dynamic Optimisation Problems
EdgarGalvanLopez.html
LuciaVazquez-Mendoza.html
MarcSchoenauer.html
LeonardoTrujillo.html
https___hal.inria.fr_hal-01648365 https://hal.inria.fr/hal-01648365
https___hal.inria.fr_hal-01648365_document https://hal.inria.fr/hal-01648365/document
https___hal.inria.fr_hal-01648365_file_dynamic_v3.pdf https://hal.inria.fr/hal-01648365/file/dynamic_v3.pdf
http___dx.doi.org_10.1007_978-3-319-78133-4_6 http://dx.doi.org/10.1007/978-3-319-78133-4_6
Galvan:2019:GECCO Promoting semantic diversity in multi-objective genetic programming
EdgarGalvanLopez.html
MarcSchoenauer.html
https___mural.maynoothuniversity.ie_14365_1_EG_promoting.pdf https://mural.maynoothuniversity.ie/14365/1/EG_promoting.pdf
http___dx.doi.org_10.1145_3321707.3321854 http://dx.doi.org/10.1145/3321707.3321854
DBLP:journals/corr/abs-2009-12401 Semantic-based Distance Approaches in Multi-objective Genetic Programming
EdgarGalvanLopez.html
FergalStapleton.html
https___arxiv.org_abs_2009.12401 https://arxiv.org/abs/2009.12401
https___dblp.org_rec_journals_corr_abs-2009-12401.bib https://dblp.org/rec/journals/corr/abs-2009-12401.bib
DBLP:journals/corr/abs-2012-04717 Promoting Semantics in Multi-objective Genetic Programming based on Decomposition
EdgarGalvanLopez.html
FergalStapleton.html
https___arxiv.org_abs_2012.04717 https://arxiv.org/abs/2012.04717
https___dblp.org_rec_journals_corr_abs-2012-04717.bib https://dblp.org/rec/journals/corr/abs-2012-04717.bib
Galvan:2020:SSCI Semantic-based Distance Approaches in Multi-objective Genetic Programming
EdgarGalvanLopez.html
FergalStapleton.html
http___dx.doi.org_10.1109_SSCI47803.2020.9308386 http://dx.doi.org/10.1109/SSCI47803.2020.9308386
GALVAN:2022:ASC Semantics in Multi-objective Genetic Programming
EdgarGalvanLopez.html
LeonardoTrujillo.html
FergalStapleton.html
https___www.sciencedirect.com_science_article_pii_S1568494621010139 https://www.sciencedirect.com/science/article/pii/S1568494621010139
http___dx.doi.org_10.1016_j.asoc.2021.108143 http://dx.doi.org/10.1016/j.asoc.2021.108143
Galvan-Lopez:2022:GECCOhop Highlights of Semantics in Multi-objective Genetic Programming
EdgarGalvanLopez.html
LeonardoTrujillo.html
FergalStapleton.html
http___dx.doi.org_10.1145_3520304.3534073 http://dx.doi.org/10.1145/3520304.3534073
https___vimeo.com_723511007 https://vimeo.com/723511007
Galvan:2022:games Evolving the MCTS Upper Confidence Bounds for Trees Using a Semantic-inspired Evolutionary Algorithm in the Game of Carcassonne
EdgarGalvanLopez.html
GavinSimpson.html
FredValdezAmeneyro.html
http___dx.doi.org_10.1109_TG.2022.3203232 http://dx.doi.org/10.1109/TG.2022.3203232
GalvezRamirez:2016:EuroGP Towards Automated Strategies in Satisfiability Modulo Theory
NicolasGalvezRamirez.html
YoussefHamadi.html
EricMonfroy.html
FredericSaubion.html
http___dx.doi.org_10.1007_978-3-319-30668-1_15 http://dx.doi.org/10.1007/978-3-319-30668-1_15
Gamage:2010:jcise A System Framework With Online Monitoring and Evaluation for Design Evolution of Engineering Systems
LalithBGamage.html
ClarenceWdeSilva.html
http___dx.doi.org_10.1115_1.3462919 http://dx.doi.org/10.1115/1.3462919
Gamage201283 Design evolution of mechatronic systems through modelling, on-line monitoring, and evolutionary optimization
LalithBGamage.html
ClarenceWdeSilva.html
JRamonCampos.html
http___dx.doi.org_10.1016_j.mechatronics.2011.11.012 http://dx.doi.org/10.1016/j.mechatronics.2011.11.012
http___www.sciencedirect.com_science_article_pii_S0957415811001991 http://www.sciencedirect.com/science/article/pii/S0957415811001991
Gan:2009:ICNC Evolutionary Design of Combinational Logic Circuits Using an Improved Gene Expression-Based Clonal Selection Algorithm
ZhaohuiGan.html
TaoShang.html
GangShi.html
MinJiang.html
http___dx.doi.org_10.1109_ICNC.2009.308 http://dx.doi.org/10.1109/ICNC.2009.308
Gan20093996 Clone selection programming and its application to symbolic regression
ZhaohuiGan.html
TommyWai-ShingChow.html
Wing-NamChau.html
http___dx.doi.org_10.1016_j.eswa.2008.02.030 http://dx.doi.org/10.1016/j.eswa.2008.02.030
http___www.sciencedirect.com_science_article_B6V03-4S02048-9_2_d5a34ad92d4cf0f6f5e33f4407a2776f http://www.sciencedirect.com/science/article/B6V03-4S02048-9/2/d5a34ad92d4cf0f6f5e33f4407a2776f
Gan20101887 Automated synthesis of passive analog filters using graph representation
ZhaohuiGan.html
ZhenkunYang.html
TaoShang.html
TianyouYu.html
MinJiang.html
http___dx.doi.org_10.1016_j.eswa.2009.07.013 http://dx.doi.org/10.1016/j.eswa.2009.07.013
http___www.sciencedirect.com_science_article_B6V03-4WXHBSP-5_2_32ead9142a06172b08c290d1ce58b362 http://www.sciencedirect.com/science/article/B6V03-4WXHBSP-5/2/32ead9142a06172b08c290d1ce58b362
Gandomi2008338 A Discussion on "Genetic programming for retrieving missing information in wave records along the west coast of India" [Applied Ocean Research 2007; 29 (3): 99-111]
AHGandomi.html
AHAlavi.html
SSSadatHosseini.html
http___dx.doi.org_10.1016_j.apor.2009.02.001 http://dx.doi.org/10.1016/j.apor.2009.02.001
http___www.sciencedirect.com_science_article_B6V1V-4VXJVY5-1_2_f5aca485c623afab39556b3979e70bff http://www.sciencedirect.com/science/article/B6V1V-4VXJVY5-1/2/f5aca485c623afab39556b3979e70bff
Gandomi:2008:EASEC Empirical Models for the Prediction of Flexural Resistance and Initial Stiffness of Welded Beam-Column Joints
AHGandomi.html
AHAlavi.html
MohammadGhasemSahab.html
MostafaGandomi.html
MSafariGorji.html
http___dc199.4shared.com_doc_beWiACYZ_preview.html http://dc199.4shared.com/doc/beWiACYZ/preview.html
Gandomi20091738 Behavior appraisal of steel semi-rigid joints using Linear Genetic Programming
AHGandomi.html
AHAlavi.html
ShohrehKazemi.html
MohammadMehdiAliNia.html
http___dx.doi.org_10.1016_j.jcsr.2009.04.010 http://dx.doi.org/10.1016/j.jcsr.2009.04.010
http___www.sciencedirect.com_science_article_B6V3T-4W8KHNW-4_2_4833ff184048303a27710677ee1f047f http://www.sciencedirect.com/science/article/B6V3T-4W8KHNW-4/2/4833ff184048303a27710677ee1f047f
Gandomi:2010:NH Discussion on ``Alternative data-driven methods to estimate wind from waves by inverse modeling'' by Mansi Daga, M. C. Deo [Natural Hazards (2008) NHAZ 524, Article 9299, DOI 10.1007/s11069-008-9299-2]
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http___dx.doi.org_10.1007_s11069-009-9400-5 http://dx.doi.org/10.1007/s11069-009-9400-5
Gandomi:2010:JMMS Genetic programming and orthogonal least squares: a hybrid approach to modeling the compressive strength of CFRP-confined concrete cylinders
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http___dx.doi.org_10.2140_jomms.2010.5.735 http://dx.doi.org/10.2140/jomms.2010.5.735
Gandomi:2010:jMST Formulation of elastic modulus of concrete using linear genetic programming
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MohammadGhasemSahab.html
ParvinArjmandi.html
http___dx.doi.org_10.1007_s12206-010-0330-7 http://dx.doi.org/10.1007/s12206-010-0330-7
Gandomi:2010:MS New formulation for compressive strength of CFRP confined concrete cylinders using linear genetic programming
AHGandomi.html
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MohammadGhasemSahab.html
http___dx.doi.org_10.1617_s11527-009-9559-y http://dx.doi.org/10.1617/s11527-009-9559-y
Gandomi:2011:SEM Nonlinear modeling of shear strength of SFRC beams using linear genetic programming
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GunjinYun.html
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http___dx.doi.org_10.12989_sem.2011.38.1.001 http://dx.doi.org/10.12989/sem.2011.38.1.001
Gandomi:2011:KSCEjce Formulation of uplift capacity of suction caissons using multi expression programming
AHGandomi.html
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GunjinYun.html
http___dx.doi.org_10.1007_s12205-011-1117-9 http://dx.doi.org/10.1007/s12205-011-1117-9
Gandomi:2010:JMCE Nonlinear Genetic-Based Models for Prediction of Flow Number of Asphalt Mixtures
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MohammadRezaMirzahosseini.html
FereidoonMoghaddasNejad.html
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http___dx.doi.org_10.1061__ASCE_MT.1943-5533.0000154 http://dx.doi.org/10.1061/(ASCE)MT.1943-5533.0000154
Gandomi20111096 A new prediction model for the load capacity of castellated steel beams
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SeyedMortezaTabatabaei.html
MohammadHosseinMoradian.html
AtaRadfar.html
AHAlavi.html
http___dx.doi.org_10.1016_j.jcsr.2011.01.014 http://dx.doi.org/10.1016/j.jcsr.2011.01.014
http___www.sciencedirect.com_science_article_B6V3T-52BVR2R-1_2_9f40e5717143288037afed5176f8d52e http://www.sciencedirect.com/science/article/B6V3T-52BVR2R-1/2/9f40e5717143288037afed5176f8d52e
Gandomi20115227 Multi-stage genetic programming: A new strategy to nonlinear system modeling
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http___dx.doi.org_10.1016_j.ins.2011.07.026 http://dx.doi.org/10.1016/j.ins.2011.07.026
http___www.sciencedirect.com_science_article_pii_S0020025511003586 http://www.sciencedirect.com/science/article/pii/S0020025511003586
Gandomi2011717 A hybrid computational approach to derive new ground-motion prediction equations
AHGandomi.html
AHAlavi.html
MehdiMousavi.html
SeyedMortezaTabatabaei.html
http___dx.doi.org_10.1016_j.engappai.2011.01.005 http://dx.doi.org/10.1016/j.engappai.2011.01.005
http___www.sciencedirect.com_science_article_B6V2M-52C83TR-1_2_0e8d2ec5097e6a0e7eef643a7e26d527 http://www.sciencedirect.com/science/article/B6V2M-52C83TR-1/2/0e8d2ec5097e6a0e7eef643a7e26d527
Gandomi:2011:COAEI Applications of Computational Intelligence in Behavior Simulation of Concrete Materials
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http___dx.doi.org_10.1007_978-3-642-20986-4_9 http://dx.doi.org/10.1007/978-3-642-20986-4_9
Gandomi:2011:Discussion Discussion: Neural Network -- Genetic Programming for Sediment Transport
AHGandomi.html
http___dx.doi.org_10.1680_maen.2010.163.3.135 http://dx.doi.org/10.1680/maen.2010.163.3.135
journals/nca/GandomiA12 A new multi-gene genetic programming approach to nonlinear system modeling. Part I: materials and structural engineering problems
AHGandomi.html
AHAlavi.html
http___dx.doi.org_10.1007_s00521-011-0734-z http://dx.doi.org/10.1007/s00521-011-0734-z
journals/nca/GandomiA12a A new multi-gene genetic programming approach to non-linear system modeling. Part II: geotechnical and earthquake engineering problems
AHGandomi.html
AHAlavi.html
http___dx.doi.org_10.1007_s00521-011-0735-y http://dx.doi.org/10.1007/s00521-011-0735-y
Gandomi:2012:JMCE Novel Approach to Strength Modeling of Concrete under Triaxial Compression
AHGandomi.html
SaeedKBabanajad.html
AHAlavi.html
YaghoobFarnam.html
http___dx.doi.org_10.1061__ASCE_MT.1943-5533.0000494 http://dx.doi.org/10.1061/(ASCE)MT.1943-5533.0000494
Gandomi:2013:MASI_book Metaheuristic Applications in Structures and Infrastructures
AHGandomi.html
Xin-SheYang.html
SiamakTalatahari.html
AHAlavi.html
http___www.sciencedirect.com_science_book_9780123983640 http://www.sciencedirect.com/science/book/9780123983640
https___www.elsevier.com_books_metaheuristic-applications-in-structures-and-infrastructures_gandomi_978-0-12-398364-0 https://www.elsevier.com/books/metaheuristic-applications-in-structures-and-infrastructures/gandomi/978-0-12-398364-0
Gandomi:2013:MASI Metaheuristic Algorithms in Modeling and Optimization
AHGandomi.html
Xin-SheYang.html
SiamakTalatahari.html
AHAlavi.html
http___dx.doi.org_10.1016_B978-0-12-398364-0.00001-2 http://dx.doi.org/10.1016/B978-0-12-398364-0.00001-2
http___www.sciencedirect.com_science_article_pii_B9780123983640000012 http://www.sciencedirect.com/science/article/pii/B9780123983640000012
Gandomi:2013:MASI.18 Expression Programming Techniques for Formulation of Structural Engineering Systems
AHGandomi.html
AHAlavi.html
http___dx.doi.org_10.1016_B978-0-12-398364-0.00018-8 http://dx.doi.org/10.1016/B978-0-12-398364-0.00018-8
http___www.sciencedirect.com_science_article_pii_B9780123983640000188 http://www.sciencedirect.com/science/article/pii/B9780123983640000188
Gandomi:2013:ACME An empirical model for shear capacity of RC deep beams using genetic-simulated annealing
AHGandomi.html
AHAlavi.html
DMohammadzadehShadmehri.html
MohammadGhasemSahab.html
http___dx.doi.org_10.1016_j.acme.2013.02.007 http://dx.doi.org/10.1016/j.acme.2013.02.007
http___www.sciencedirect.com_science_article_pii_S1644966513000319 http://www.sciencedirect.com/science/article/pii/S1644966513000319
Gandomi:2013:MIT Intelligent formulation of structural engineering systems
AHGandomi.html
DavidRoke.html
conf/swarm/GandomiATY13 Intelligent Modeling and Prediction of Elastic Modulus of Concrete Strength via Gene Expression Programming
AHGandomi.html
AHAlavi.html
TOTing.html
Xin-SheYang.html
http___dx.doi.org_10.1007_978-3-642-38703-6_66 http://dx.doi.org/10.1007/978-3-642-38703-6_66
Gandomi:2013:EngStruct Genetic programming for moment capacity modeling of ferrocement members
AHGandomi.html
DavidRoke.html
KallolSett.html
http___www.sciencedirect.com_science_article_pii_S0141029613004343 http://www.sciencedirect.com/science/article/pii/S0141029613004343
http___dx.doi.org_10.1016_j.engstruct.2013.09.022 http://dx.doi.org/10.1016/j.engstruct.2013.09.022
Gandomi:2014:MS An evolutionary approach for modeling of shear strength of RC deep beams
AHGandomi.html
GunjinYun.html
AHAlavi.html
http___dx.doi.org_10.1617_s11527-013-0039-z http://dx.doi.org/10.1617/s11527-013-0039-z
Gandomi:2014:NCA An innovative approach for modeling of hysteretic energy demand in steel moment resisting frames
AHGandomi.html
AHAlavi.html
AbazarAsghari.html
HadiNiroomand.html
AliMatinNazar.html
http___dx.doi.org_10.1007_s00521-013-1342-x http://dx.doi.org/10.1007/s00521-013-1342-x
Gandomi:2014:JCEM New Design Equations for Elastic Modulus of Concrete Using Multi Expression Programming
AHGandomi.html
AliFaramarzifar.html
PeymanGhanadRezaee.html
AbazarAsghari.html
SiamakTalatahari.html
http___dx.doi.org_10.3846_13923730.2014.893910 http://dx.doi.org/10.3846/13923730.2014.893910
Gandomi:2013:IREHM Hybridizing Genetic Programming with Orthogonal Least Squares for Modeling of Soil Liquefaction
AHGandomi.html
AHAlavi.html
http___www.praiseworthyprize.it_public_papers_paper.asp_journal_IREHM_idpaper_13484_issue_VOL_1_N_1 http://www.praiseworthyprize.it/public/papers/paper.asp?journal=IREHM&idpaper=13484&issue=VOL_1_N_1
Gandomi:2014:SC Seismic Response Prediction of Self-Centering Concentrically Braced Frames Using Genetic Programming
AHGandomi.html
DavidRoke.html
http___dx.doi.org_10.1061_9780784413357.110 http://dx.doi.org/10.1061/9780784413357.110
Gandomi:2014:AiC Formulation of shear strength of slender RC beams using gene expression programming, part I: Without shear reinforcement
AHGandomi.html
AHAlavi.html
SadeghKazemi.html
MostafaGandomi.html
http___www.sciencedirect.com_science_article_pii_S0926580514000326 http://www.sciencedirect.com/science/article/pii/S0926580514000326
http___dx.doi.org_10.1016_j.autcon.2014.02.007 http://dx.doi.org/10.1016/j.autcon.2014.02.007
Gandomi:2014:ASC Linear genetic programming for shear strength prediction of reinforced concrete beams without stirrups
AHGandomi.html
DMohammadzadehShadmehri.html
JuanLuisPerez.html
AHAlavi.html
http___www.sciencedirect.com_science_article_pii_S1568494614000751 http://www.sciencedirect.com/science/article/pii/S1568494614000751
http___dx.doi.org_10.1016_j.asoc.2014.02.007 http://dx.doi.org/10.1016/j.asoc.2014.02.007
Gandomi:2015:hbgpa Handbook of Genetic Programming Applications
AHGandomi.html
AHAlavi.html
ConorRyan.html
http___dx.doi.org_10.1007_978-3-319-20883-1 http://dx.doi.org/10.1007/978-3-319-20883-1
Gandomi:2015:hbgpaF Foreword
AHGandomi.html
AHAlavi.html
ConorRyan.html
http___dx.doi.org_10.1007_978-3-319-20883-1 http://dx.doi.org/10.1007/978-3-319-20883-1
Gandomi:2015:AES Assessment of artificial neural network and genetic programming as predictive tools
AHGandomi.html
DavidRoke.html
http___www.sciencedirect.com_science_article_pii_S0965997815000861 http://www.sciencedirect.com/science/article/pii/S0965997815000861
http___dx.doi.org_10.1016_j.advengsoft.2015.05.007 http://dx.doi.org/10.1016/j.advengsoft.2015.05.007
Gandomi:2015:IPSE Coupled SelfSim and genetic programming for non-linear material constitutive modelling
AHGandomi.html
GunjinYun.html
http___www.tandfonline.com_doi_abs_10.1080_17415977.2014.968149 http://www.tandfonline.com/doi/abs/10.1080/17415977.2014.968149
http___dx.doi.org_10.1080_17415977.2014.968149 http://dx.doi.org/10.1080/17415977.2014.968149
Gandomi:2016:MOD Genetic programming for concrete modeling
AHGandomi.html
BehnamKiani.html
RobertYLiang.html
Gandomi:2016:AiC Genetic programming for experimental big data mining: A case study on concrete creep formulation
AHGandomi.html
SiavashSajedi.html
BehnamKiani.html
QindanHuang.html
http___www.sciencedirect.com_science_article_pii_S0926580516301315 http://www.sciencedirect.com/science/article/pii/S0926580516301315
http___dx.doi.org_10.1016_j.autcon.2016.06.010 http://dx.doi.org/10.1016/j.autcon.2016.06.010
Gandomi:2017:Measurement Formulation of shear strength of slender RC beams using gene expression programming, part II: With shear reinforcement
AHGandomi.html
AHAlavi.html
MostafaGandomi.html
SadeghKazemi.html
http___dx.doi.org_10.1016_j.measurement.2016.10.024 http://dx.doi.org/10.1016/j.measurement.2016.10.024
http___www.sciencedirect.com_science_article_pii_S0263224116305723 http://www.sciencedirect.com/science/article/pii/S0263224116305723
Gandomi:2018:Biocene Evolutionary Data Mining in Aerospace
AHGandomi.html
Gandomi:2018:BEACON Multi-objective Genetic Programming for Classification and Regression Problems
AHGandomi.html
Gandomi:GPEM:GPTIPS Software review: the GPTIPS platform
AHGandomi.html
EhsanAtefi.html
http___dx.doi.org_10.1007_s10710-019-09366-0 http://dx.doi.org/10.1007/s10710-019-09366-0
Gandomi:II A Multi-Objective Evolutionary Framework for Formulation of Nonlinear Structural Systems
AHGandomi.html
DavidRoke.html
https___www.human-competitive.org_sites_default_files_entryform.txt https://www.human-competitive.org/sites/default/files/entryform.txt
https___www.human-competitive.org_sites_default_files_tii3126702.pdf https://www.human-competitive.org/sites/default/files/tii3126702.pdf
http___dx.doi.org_10.1109_TII.2021.3126702 http://dx.doi.org/10.1109/TII.2021.3126702
gandomi:2020:Remote_Sensing Permeable Breakwaters Performance Modeling: A Comparative Study of Machine Learning Techniques
MostafaGandomi.html
MoharramDolatshahiPirooz.html
ImanVarjavand.html
MohammadRezaNikoo.html
https___www.mdpi.com_2072-4292_12_11_1856 https://www.mdpi.com/2072-4292/12/11/1856
http___dx.doi.org_10.3390_rs12111856 http://dx.doi.org/10.3390/rs12111856
GANDOMI:2021:ASC Spectral acceleration prediction using genetic programming based approaches
MostafaGandomi.html
AliRKashani.html
AliFarhadi.html
MohsenAkhani.html
AHGandomi.html
http___dx.doi.org_10.1016_j.asoc.2021.107326 http://dx.doi.org/10.1016/j.asoc.2021.107326
https___www.sciencedirect.com_science_article_pii_S1568494621002490 https://www.sciencedirect.com/science/article/pii/S1568494621002490
Gandomi:2023:CINTI Evolutionary Computation for Intelligent Data Analytics
AHGandomi.html
http___dx.doi.org_10.1109_CINTI59972.2023.10382125 http://dx.doi.org/10.1109/CINTI59972.2023.10382125
Ganesan20112913 Optimization of nonlinear geological structure mapping using hybrid neuro-genetic techniques
TimothyGanesan.html
PandianVasant.html
IElamvazuthi.html
http___dx.doi.org_10.1016_j.mcm.2011.07.012 http://dx.doi.org/10.1016/j.mcm.2011.07.012
http___www.sciencedirect.com_science_article_pii_S0895717711004225 http://www.sciencedirect.com/science/article/pii/S0895717711004225
Ganesan:2013:Nostradamus Hypervolume-Driven Analytical Programming for Solar-Powered Irrigation System Optimization
TimothyGanesan.html
IElamvazuthi.html
KuZilatiKuShaari.html
PandianVasant.html
http___dx.doi.org_10.1007_978-3-319-00542-3_15 http://dx.doi.org/10.1007/978-3-319-00542-3_15
GANESH:2017:PM Evolutionary Algorithms for Programming Pneumatic Sequential Circuit Controllers
SajaysuryaGanesh.html
SaravanaKumarGurunathan.html
http___dx.doi.org_10.1016_j.promfg.2017.07.299 http://dx.doi.org/10.1016/j.promfg.2017.07.299
http___www.sciencedirect.com_science_article_pii_S2351978917305073 http://www.sciencedirect.com/science/article/pii/S2351978917305073
gang:2004:eurogp How to Choose Appropriate Function Sets for GP
WangGang.html
TerenceSoule.html
http___dx.doi.org_10.1007_978-3-540-24650-3_18 http://dx.doi.org/10.1007/978-3-540-24650-3_18
Gao:2016:ESwA Self-evolution of hyper fractional order chaos driven by a novel approach through genetic programming
FeiGao.html
TengLee.html
Wen-JingCao.html
Xue-jingLee.html
Yan-fangDeng.html
Heng-qingTong.html
http___dx.doi.org_10.1016_j.eswa.2015.12.033 http://dx.doi.org/10.1016/j.eswa.2015.12.033
Guanqiang_Gao:Cybernetics Automated Coordination Strategy Design Using Genetic Programming for Dynamic Multipoint Dynamic Aggregation
GuanqiangGao.html
YiMei.html
BinXin.html
Ya-HuiJia.html
WillNBrowne.html
http___dx.doi.org_10.1109_TCYB.2021.3080044 http://dx.doi.org/10.1109/TCYB.2021.3080044
conf/icnc/GaoGCLG09 Cyberspace Situation Prediction Based on Gene Expression Programming
HongLeiGao.html
WenZhongGuo.html
GuoLongChen.html
YanHuaLiu.html
MeiGao.html
http___dx.doi.org_10.1109_ICNC.2009.42 http://dx.doi.org/10.1109/ICNC.2009.42
Gao:2001:CCE Evolutionary polymorphic neural network in chemical process modeling
LiGao.html
NormanWLoney.html
http___www.sciencedirect.com_science_article_B6TFT-449TFB0-2_2_b9c50f18933d4b739a9d8a2843b45548 http://www.sciencedirect.com/science/article/B6TFT-449TFB0-2/2/b9c50f18933d4b739a9d8a2843b45548
http___dx.doi.org_10.1016_S0098-1354_01_00708-6 http://dx.doi.org/10.1016/S0098-1354(01)00708-6
LiGao:thesis Evolutionary Polymorphic Neural Networks in Chemical Engineering Modeling
LiGao.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_LiGao_thesis.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/LiGao_thesis.pdf
Gao:2008:ICES ISCLEs: Importance Sampled Circuit Learning Ensembles for Trustworthy Analog Circuit Topology Synthesis
PengGao.html
TrentMcConaghy.html
GeorgesGEGielen.html
http___trent.st_content_2008-ICES-iscles.pdf http://trent.st/content/2008-ICES-iscles.pdf
http___dx.doi.org_10.1007_978-3-540-85857-7_2 http://dx.doi.org/10.1007/978-3-540-85857-7_2
Gao:2008:ICCAD Importance sampled circuit learning ensembles for robust analog IC design
PengGao.html
TrentMcConaghy.html
GeorgesGEGielen.html
http___trent.st_content_2008-ICCAD-iscles.pdf http://trent.st/content/2008-ICCAD-iscles.pdf
http___dx.doi.org_10.1109_ICCAD.2008.4681604 http://dx.doi.org/10.1109/ICCAD.2008.4681604
Shuhua_Gao:Cybernetics Learning Asynchronous Boolean Networks From Single-Cell Data Using Multiobjective Cooperative Genetic Programming
ShuhuaGao.html
ChangkaiSun.html
ChengXiang.html
KairongQin.html
TongHengLee.html
http___dx.doi.org_10.1109_TCYB.2020.3022430 http://dx.doi.org/10.1109/TCYB.2020.3022430
GAO:2019:JAR Genetic programming approach for predicting service life of tunnel structures subject to chloride-induced corrosion
WeiGao.html
XinChen.html
DongliangChen.html
http___dx.doi.org_10.1016_j.jare.2019.07.001 http://dx.doi.org/10.1016/j.jare.2019.07.001
http___www.sciencedirect.com_science_article_pii_S2090123219301341 http://www.sciencedirect.com/science/article/pii/S2090123219301341
GAO:2019:SE The feasibility of genetic programming and ANFIS in prediction energetic performance of a building integrated photovoltaic thermal (BIPVT) system
WeiGao2.html
HosseinMoayedi.html
AminShahsavar.html
http___dx.doi.org_10.1016_j.solener.2019.03.016 http://dx.doi.org/10.1016/j.solener.2019.03.016
http___www.sciencedirect.com_science_article_pii_S0038092X19302336 http://www.sciencedirect.com/science/article/pii/S0038092X19302336
Gao:2006:icirs Study on the Symmetry of Evolutionary Robotic System
XueshanGao.html
KokiKikuchi.html
XiaobingWu.html
KatsuyaKanai.html
KeisukeSomiya.html
http___dx.doi.org_10.1109_IROS.2006.282055 http://dx.doi.org/10.1109/IROS.2006.282055
Gao:2019:GECCO Efficient personalized community detection via genetic evolution
ZhengGao.html
ChunGuo.html
XiaozhongLiu.html
http___dx.doi.org_10.1145_3321707.3321711 http://dx.doi.org/10.1145/3321707.3321711
garces-perez:1996:sflp Solving Facility Layout Problems Using Genetic Programming
JaimeGarces-Perez.html
DaleASchoenefeld.html
RogerLWainwright.html
http___euler.utulsa.edu__rogerw_papers_Garces-Perez-flp.pdf http://euler.utulsa.edu/~rogerw/papers/Garces-Perez-flp.pdf
http___cognet.mit.edu_sites_default_files_books_9780262315876_pdfs_9780262315876_chap22.pdf http://cognet.mit.edu/sites/default/files/books/9780262315876/pdfs/9780262315876_chap22.pdf
http___cognet.mit.edu_library_books_view_isbn_0262611279 http://cognet.mit.edu/library/books/view?isbn=0262611279
Garcia:2008:gecco Protein-protein functional association prediction using genetic programming
BeatrizGarcia.html
RicardoAlerMur.html
AgapitoLedezma.html
AraceliSanchis.html
http___gpbib.cs.ucl.ac.uk_gecco2008_docs_p347.pdf http://gpbib.cs.ucl.ac.uk/gecco2008/docs/p347.pdf
http___dx.doi.org_10.1145_1389095.1389156 http://dx.doi.org/10.1145/1389095.1389156
DBLP:conf/iberamia/GarciaALS08 Genetic Programming for Predicting Protein Networks
BeatrizGarcia.html
RicardoAlerMur.html
AgapitoLedezma.html
AraceliSanchis.html
http___www.caos.inf.uc3m.es__beatriz_papers_garcia_et.al._iberamia08-paper_InPress.pdf http://www.caos.inf.uc3m.es/~beatriz/papers/garcia_et.al._iberamia08-paper_InPress.pdf
http___dx.doi.org_10.1007_978-3-540-88309-8_44 http://dx.doi.org/10.1007/978-3-540-88309-8_44
oai:cds.cern.ch:2255146 Applying natural evolution for solving computational problems - Lecture 2
DanielLanzaGarcia.html
http___cds.cern.ch_record_2255146 http://cds.cern.ch/record/2255146
Garcia:2017:GECCO Investigating Coevolutionary Archive Based Genetic Algorithms on Cyber Defense Networks
DennisGarcia.html
AnthonyErbLugo.html
ErikHemberg.html
Una-MayO'Reilly.html
http___doi.acm.org_10.1145_3067695.3076081 http://doi.acm.org/10.1145/3067695.3076081
http___dx.doi.org_10.1145_3067695.3076081 http://dx.doi.org/10.1145/3067695.3076081
oai:CiteSeerPSU:454347 Towards the Automatic Generation of Sound Synthesis Techniques: Preparatory Steps
RicardoAGarcia.html
http___www.ragomusic.com_publications_ragoAES2000.pdf http://www.ragomusic.com/publications/ragoAES2000.pdf
http___citeseer.ist.psu.edu_454347.html http://citeseer.ist.psu.edu/454347.html
oai:CiteSeerPSU:569030 Automating The Design Of Sound Synthesis Techniques Using Evolutionary Methods
RicardoAGarcia.html
http___www.csis.ul.ie_dafx01_proceedings_navig_.._papers_garcia.pdf http://www.csis.ul.ie/dafx01/proceedings/navig/../papers/garcia.pdf
http___citeseer.ist.psu.edu_569030.html http://citeseer.ist.psu.edu/569030.html
oai:RePEc:sce:scecfa:489 Forecasting stock prices using Genetic Programming and Chance Discovery
AlmaLiliaGarciaAlmanza.html
EdwardPKTsang.html
http___repec.org_sce2006_up.13879.1141401469.pdf http://repec.org/sce2006/up.13879.1141401469.pdf
http___privatewww.essex.ac.uk__algarc_Publications_CEF2006.pdf http://privatewww.essex.ac.uk/~algarc/Publications/CEF2006.pdf
http___ideas.repec.org_p_sce_scecfa_489.html http://ideas.repec.org/p/sce/scecfa/489.html
Garcia-Almanza_2006_CEC Simplifying Decision Trees Learned by Genetic Programming
AlmaLiliaGarciaAlmanza.html
EdwardPKTsang.html
http___privatewww.essex.ac.uk__algarc_Publications_WCCI2006.pdf http://privatewww.essex.ac.uk/~algarc/Publications/WCCI2006.pdf
http___dx.doi.org_10.1109_CEC.2006.1688571 http://dx.doi.org/10.1109/CEC.2006.1688571
Garcia:2006a The Repository Method for Chance Discovery in Financial Forecasting
AlmaLiliaGarciaAlmanza.html
EdwardPKTsang.html
http___dx.doi.org_10.1007_11893011_5 http://dx.doi.org/10.1007/11893011_5
Garcia-Almanza:2007:cec Repository Method to Suit Different Investment Strategies
AlmaLiliaGarciaAlmanza.html
EdwardPKTsang.html
http___dx.doi.org_10.1109_CEC.2007.4424551 http://dx.doi.org/10.1109/CEC.2007.4424551
journals/kes/Garcia-AlmanzaT07 Detection of stock price movements using chance discovery and genetic programming
AlmaLiliaGarciaAlmanza.html
EdwardPKTsang.html
http___dx.doi.org_10.3233_KES-2007-11509 http://dx.doi.org/10.3233/KES-2007-11509
Garcia:2008 Evolving Decision Rules to Predict Investment Opportunities
AlmaLiliaGarciaAlmanza.html
EdwardPKTsang.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.153.2149 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.153.2149
http___dx.doi.org_10.1007_s11633-008-0022-2 http://dx.doi.org/10.1007/s11633-008-0022-2
Garcia-Almanza:thesis New Classification Methods for Gathering Patterns in the Context of Genetic Programming
AlmaLiliaGarciaAlmanza.html
http___www.bracil.net_finance_papers_Garcia-PhD2008.pdf http://www.bracil.net/finance/papers/Garcia-PhD2008.pdf
Garcia-Almanza:2010:CERMA Understanding Bank Failure: A Close Examination of Rules Created by Genetic Programming
AlmaLiliaGarciaAlmanza.html
BilianaAlexandrova-Kabadjova.html
SerafinMartinezJaramillo.html
http___dx.doi.org_10.1109_CERMA.2010.14 http://dx.doi.org/10.1109/CERMA.2010.14
Garcia-Almanza:book Evolutionary Applications for Financial Prediction: Classification Methods to Gather Patterns Using Genetic Programming
AlmaLiliaGarciaAlmanza.html
EdwardPKTsang.html
http___www.bracil.net_finance_GarciaTsang-book2011_ http://www.bracil.net/finance/GarciaTsang-book2011/
http___www.amazon.com_Evolutionary-Applications-Financial-Prediction-Classification_dp_3639307674_ref_sr_1_1_ie_UTF8_qid_1305383401_sr_8-1 http://www.amazon.com/Evolutionary-Applications-Financial-Prediction-Classification/dp/3639307674/ref=sr_1_1?ie=UTF8&qid=1305383401&sr=8-1
Garcia-Almanza:2011:Yap Using Genetic Programming Systems as Early Warning to Prevent Bank Failure
AlmaLiliaGarciaAlmanza.html
SerafinMartinezJaramillo.html
BilianaAlexandrova-Kabadjova.html
EdwardPKTsang.html
http___www.amazon.com_Information-Systems-Global-Financial-Markets_dp_1613501625 http://www.amazon.com/Information-Systems-Global-Financial-Markets/dp/1613501625
http___dx.doi.org_10.4018_978-1-61350-162-7.ch014 http://dx.doi.org/10.4018/978-1-61350-162-7.ch014
Garcia-Arnau:2007:KBS Initialization method for grammar-guided genetic programming
MGarcia-Arnau.html
DanielManriqueGamo.html
JuanRiosCarrion.html
AlfonsoRodriguez-PatonAradas.html
http___dx.doi.org_10.1016_j.knosys.2006.11.006 http://dx.doi.org/10.1016/j.knosys.2006.11.006
garcia-garcia:2022:GECCOcomp CGP-NAS: Real-based solutions encoding for multi-objective evolutionary neural architecture search
CosijopiiGarcia-Garcia.html
HugoJairEscalante.html
AliciaMorales-Reyes.html
http___dx.doi.org_10.1145_3520304.3528963 http://dx.doi.org/10.1145/3520304.3528963
https___vimeo.com_723973911 https://vimeo.com/723973911
Garcia-Garcia:2024:evoapplications Progressive Self-supervised Multi-objective NAS for Image Classification
CosijopiiGarcia-Garcia.html
AliciaMorales-Reyes.html
HugoJairEscalante.html
https___rdcu.be_dD0hO https://rdcu.be/dD0hO
http___dx.doi.org_10.1007_978-3-031-56855-8_11 http://dx.doi.org/10.1007/978-3-031-56855-8_11
Garcia-Limon:2014:GECCO Simultaneous generation of prototypes and features through genetic programming
MauricioGarcia-Limon.html
HugoJairEscalante.html
EduardoFMorales.html
AliciaMorales-Reyes.html
http___doi.acm.org_10.1145_2576768.2598356 http://doi.acm.org/10.1145/2576768.2598356
http___dx.doi.org_10.1145_2576768.2598356 http://dx.doi.org/10.1145/2576768.2598356
Garcia:2014:GECCOcomp Towards the automated generation of term-weighting schemes for text categorization
MauricioGarcia-Limon.html
HugoJairEscalante.html
ManuelMontes.html
AliciaMorales.html
EduardoFMorales.html
http___doi.acm.org_10.1145_2598394.2602286 http://doi.acm.org/10.1145/2598394.2602286
http___dx.doi.org_10.1145_2598394.2602286 http://dx.doi.org/10.1145/2598394.2602286
Garcia-Limon:2014:ROPEC Towards simultaneous prototype and Feature Generation
MauricioGarcia-Limon.html
HugoJairEscalante.html
EduardoFMorales.html
http___dx.doi.org_10.1109_ROPEC.2014.7036346 http://dx.doi.org/10.1109/ROPEC.2014.7036346
garcia-martinez:2017:CEC Multi-view semi-supervised learning using genetic programming interpretable classification rules
CarlosGarcia-Martinez.html
SebastianVentura.html
http___dx.doi.org_10.1109_CEC.2017.7969362 http://dx.doi.org/10.1109/CEC.2017.7969362
Garcia-Martinez:2020:IJCIS Multi-view Genetic Programming Learning to Obtain Interpretable Rule-Based Classifiers for Semi-supervised Contexts. Lessons Learnt
CarlosGarcia-Martinez.html
SebastianVentura.html
https___doi.org_10.2991_ijcis.d.200511.002 https://doi.org/10.2991/ijcis.d.200511.002
http___dx.doi.org_10.2991_ijcis.d.200511.002 http://dx.doi.org/10.2991/ijcis.d.200511.002
Garcia-Sanchez:2008:gecco Automatic generation of XSLT stylesheets using evolutionary algorithms
PabloGarcia-Sanchez.html
JuanJulianMerelo.html
JPSevilla.html
JuanLJLaredo.html
AntonioMMoraGarcia.html
PedroACastilloValdivieso.html
http___gpbib.cs.ucl.ac.uk_gecco2008_docs_p1701.pdf http://gpbib.cs.ucl.ac.uk/gecco2008/docs/p1701.pdf
http___dx.doi.org_10.1145_1389095.1389417 http://dx.doi.org/10.1145/1389095.1389417
Garcia-Sanchez:2008:PPSN Evolving XSLT Stylesheets for Document Transformation
PabloGarcia-Sanchez.html
JuanJulianMerelo.html
JuanLJLaredo.html
AntonioMMoraGarcia.html
PedroACastilloValdivieso.html
http___dx.doi.org_10.1007_978-3-540-87700-4_101 http://dx.doi.org/10.1007/978-3-540-87700-4_101
DBLP:conf/evoW/Garcia-SanchezFMVGG14 Tree Depth Influence in Genetic Programming for Generation of Competitive Agents for RTS Games
PabloGarcia-Sanchez.html
AntonioFernandez-Ares.html
AntonioMMoraGarcia.html
PedroACastilloValdivieso.html
JesusGonzalez.html
JuanJulianMerelo.html
http___dx.doi.org_10.1007_978-3-662-45523-4_34 http://dx.doi.org/10.1007/978-3-662-45523-4_34
http___dx.doi.org_10.1007_978-3-662-45523-4_34 http://dx.doi.org/10.1007/978-3-662-45523-4_34
Garcia-Sanchez:2015:CIG Towards Automatic StarCraft Strategy Generation Using Genetic Programming
PabloGarcia-Sanchez.html
AlbertoTonda.html
AntonioMMoraGarcia.html
GiovanniSquillero.html
JuanJulianMerelo.html
http___www.human-competitive.org_sites_default_files_garcia-sanchez-merelo-mora-squillero-tonda-text.txt http://www.human-competitive.org/sites/default/files/garcia-sanchez-merelo-mora-squillero-tonda-text.txt
http___dx.doi.org_10.1109_CIG.2015.7317940 http://dx.doi.org/10.1109/CIG.2015.7317940
Garcia-Sanchez:2019:GPEM Georgios N. Yannakakis and Julian Togelius: Artificial Intelligence and Games
PabloGarcia-Sanchez.html
http___dx.doi.org_10.1007_s10710-018-9337-0 http://dx.doi.org/10.1007/s10710-018-9337-0
Garcia-Valdez:2015:grid The EvoSpace Model for Pool-Based Evolutionary Algorithms
MarioGarcia-Valdez.html
LeonardoTrujillo.html
JuanJulianMerelo.html
FranciscoFernandezdeVega.html
GustavoOlague.html
https___doi.org_10.1007_s10723-014-9319-2 https://doi.org/10.1007/s10723-014-9319-2
http___dx.doi.org_10.1007_s10723-014-9319-2 http://dx.doi.org/10.1007/s10723-014-9319-2
Garciarena:2016:GI Evolutionary optimization of compiler flag selection by learning and exploiting flags interactions
UnaiGarciarenaHualde.html
RobertoSantana.html
http___geneticimprovementofsoftware.com_wp-content_uploads_2016_06_Evolutionary_optimization_of_compiler_flag_selection_by_learning_and_exploiting_flags_interactions.pdf http://geneticimprovementofsoftware.com/wp-content/uploads/2016/06/Evolutionary_optimization_of_compiler_flag_selection_by_learning_and_exploiting_flags_interactions.pdf
http___dx.doi.org_10.1145_2908961.2931696 http://dx.doi.org/10.1145/2908961.2931696
DBLP:journals/corr/abs-1801-04407 Towards a more efficient representation of imputation operators in TPOT
UnaiGarciarenaHualde.html
AlexanderMendiburu.html
RobertoSantana.html
https___dblp.org_rec_journals_corr_abs-1801-04407.bib https://dblp.org/rec/journals/corr/abs-1801-04407.bib
http___arxiv.org_abs_1801.04407 http://arxiv.org/abs/1801.04407
Garciarena:2018:CEC Analysis of the Complexity of the Automatic Pipeline Generation Problem
UnaiGarciarenaHualde.html
RobertoSantana.html
AlexanderMendiburu.html
http___dx.doi.org_10.1109_CEC.2018.8477662 http://dx.doi.org/10.1109/CEC.2018.8477662
Gardner:2011:GECCOcomp Bloat control in genetic programming with a histogram-based accept-reject method
Marc-AndreGardner.html
ChristianGagne.html
MarcParizeau.html
http___dx.doi.org_10.1145_2001858.2001963 http://dx.doi.org/10.1145/2001858.2001963
Gardner:thesis Controle de la croissance de la taille des individus en programmation genetique
Marc-AndreGardner.html
http___hdl.handle.net_20.500.11794_25386 http://hdl.handle.net/20.500.11794/25386
https___corpus.ulaval.ca_jspui_handle_20.500.11794_25386 https://corpus.ulaval.ca/jspui/handle/20.500.11794/25386
http___www.theses.ulaval.ca_2014_31215_31215.pdf http://www.theses.ulaval.ca/2014/31215/31215.pdf
Gardner:2015:GPEM Controlling code growth by dynamically shaping the genotype size distribution
Marc-AndreGardner.html
ChristianGagne.html
MarcParizeau.html
http___dx.doi.org_10.1007_s10710-015-9242-8 http://dx.doi.org/10.1007/s10710-015-9242-8
Garg:2012:ICMIC Review of genetic programming in modeling of machining processes
AkhilGarg.html
KangTai.html
http___ieeexplore.ieee.org_xpl_articleDetails.jsp_tp__arnumber_6260225 http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6260225
Garg:2012:ICMIC2 Comparison of regression analysis, Artificial Neural Network and genetic programming in Handling the multicollinearity problem
AkhilGarg.html
KangTai.html
http___ieeexplore.ieee.org_xpl_articleDetails.jsp_tp__arnumber_6260224 http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6260224
Garg:2013:SSCI Selection of a robust experimental design for the effective modeling of nonlinear systems using Genetic Programming
AkhilGarg.html
KangTai.html
http___dx.doi.org_10.1109_CIDM.2013.6597249 http://dx.doi.org/10.1109/CIDM.2013.6597249
Garg:2013:CIFEr Empirical Analysis of Model Selection Criteria for Genetic Programming in Modeling of Time Series System
AkhilGarg.html
SriramSrivatsav.html
KangTai.html
http___dx.doi.org_10.1109_CIFEr.2013.6611702 http://dx.doi.org/10.1109/CIFEr.2013.6611702
Garg:2013:IJMIC Review of empirical modelling techniques for modelling of turning process
AkhilGarg.html
YogeshBhalerao.html
KangTai.html
http___www.inderscience.com_link.php_id_56184 http://www.inderscience.com/link.php?id=56184
http___dx.doi.org_10.1504_IJMIC.2013.056184 http://dx.doi.org/10.1504/IJMIC.2013.056184
conf/semcco/GargT13 Genetic Programming for Modeling Vibratory Finishing Process: Role of Experimental Designs and Fitness Functions
AkhilGarg.html
KangTai.html
http___dx.doi.org_10.1007_978-3-319-03756-1 http://dx.doi.org/10.1007/978-3-319-03756-1
http___dx.doi.org_10.1007_978-3-319-03756-1_3 http://dx.doi.org/10.1007/978-3-319-03756-1_3
garg:2013:IJAMT Classification-driven model selection approach of genetic programming in modelling of turning process
AkhilGarg.html
LRachmawati.html
KangTai.html
http___link.springer.com_article_10.1007_s00170-013-5103-x http://link.springer.com/article/10.1007/s00170-013-5103-x
http___dx.doi.org_10.1007_s00170-013-5103-x http://dx.doi.org/10.1007/s00170-013-5103-x
garg:2014:IJAMT Formulation of bead width model of an SLM prototype using modified multi-gene genetic programming approach
AkhilGarg.html
KangTai.html
MMSavalani.html
http___link.springer.com_article_10.1007_s00170-014-5820-9 http://link.springer.com/article/10.1007/s00170-014-5820-9
http___dx.doi.org_10.1007_s00170-014-5820-9 http://dx.doi.org/10.1007/s00170-014-5820-9
garg:2014:Meccanica A modified multi-gene genetic programming approach for modelling true stress of dynamic strain aging regime of austenitic stainless steel 304
AkhilGarg.html
KangTai.html
AKGupta.html
http___link.springer.com_article_10.1007_s11012-013-9873-x http://link.springer.com/article/10.1007/s11012-013-9873-x
http___dx.doi.org_10.1007_s11012-013-9873-x http://dx.doi.org/10.1007/s11012-013-9873-x
garg:2014:CG A multi-gene genetic programming model for estimating stress-dependent soil water retention curves
AkhilGarg.html
AnkitGarg.html
KangTai.html
http___link.springer.com_article_10.1007_s10596-013-9381-z http://link.springer.com/article/10.1007/s10596-013-9381-z
http___dx.doi.org_10.1007_s10596-013-9381-z http://dx.doi.org/10.1007/s10596-013-9381-z
Garg:2014:EAAI An integrated SRM-multi-gene genetic programming approach for prediction of factor of safety of 3-D soil nailed slopes
AkhilGarg.html
AnkitGarg.html
KangTai.html
SekharanSreedeep.html
http___dx.doi.org_10.1016_j.engappai.2013.12.011 http://dx.doi.org/10.1016/j.engappai.2013.12.011
http___www.sciencedirect.com_science_article_pii_S0952197613002455 http://www.sciencedirect.com/science/article/pii/S0952197613002455
Garg:2014:ESA Performance evaluation of microbial fuel cell by artificial intelligence methods
AkhilGarg.html
VenkateshVijayaraghavan.html
SibaSankarMahapatra.html
KangTai.html
CheeHowWong.html
http___dx.doi.org_10.1016_j.eswa.2013.08.038 http://dx.doi.org/10.1016/j.eswa.2013.08.038
http___www.sciencedirect.com_science_article_pii_S0957417413006507 http://www.sciencedirect.com/science/article/pii/S0957417413006507
conf/ieaaie/0002T14 An Improved Multi-Gene Genetic Programming Approach for the Evolution of Generalized Model in Modelling of Rapid Prototyping Process
AkhilGarg.html
KangTai.html
http___dx.doi.org_10.1007_978-3-319-07455-9 http://dx.doi.org/10.1007/978-3-319-07455-9
Garg:2014:EE Estimation of factor of safety of rooted slope using an evolutionary approach
AkhilGarg.html
AnkitGarg.html
KangTai.html
SekharanSreedeep.html
http___www.sciencedirect.com_science_article_pii_S0925857413005478 http://www.sciencedirect.com/science/article/pii/S0925857413005478
http___dx.doi.org_10.1016_j.ecoleng.2013.12.047 http://dx.doi.org/10.1016/j.ecoleng.2013.12.047
Garg:2014:SMPT An embedded simulation approach for modeling the thermal conductivity of 2D nanoscale material
AkhilGarg.html
VenkateshVijayaraghavan.html
CheeHowWong.html
KangTai.html
LiangGao.html
http___dx.doi.org_10.1016_j.simpat.2014.02.003 http://dx.doi.org/10.1016/j.simpat.2014.02.003
http___www.sciencedirect.com_science_article_pii_S1569190X14000276 http://www.sciencedirect.com/science/article/pii/S1569190X14000276
Garg:2014:AES Stepwise approach for the evolution of generalized genetic programming model in prediction of surface finish of the turning process
AkhilGarg.html
KangTai.html
http___dx.doi.org_10.1016_j.advengsoft.2014.08.005 http://dx.doi.org/10.1016/j.advengsoft.2014.08.005
http___www.sciencedirect.com_science_article_pii_S0965997814001318 http://www.sciencedirect.com/science/article/pii/S0965997814001318
Garg:2014:SMPT2 Combined CI-MD approach in formulation of engineering moduli of single layer graphene sheet
AkhilGarg.html
VenkateshVijayaraghavan.html
CheeHowWong.html
KangTai.html
KSumithra.html
LiangGao.html
PravinMSingru.html
http___dx.doi.org_10.1016_j.simpat.2014.07.008 http://dx.doi.org/10.1016/j.simpat.2014.07.008
http___www.sciencedirect.com_science_article_pii_S1569190X14001257 http://www.sciencedirect.com/science/article/pii/S1569190X14001257
journals/jim/GargTLS14 A hybrid M5'-genetic programming approach for ensuring greater trustworthiness of prediction ability in modelling of FDM process
AkhilGarg.html
KangTai.html
CHLee.html
MMSavalani.html
http___dx.doi.org_10.1007_s10845-013-0734-1 http://dx.doi.org/10.1007/s10845-013-0734-1
Garg:2014:TPM A Computational Intelligence-Based Genetic Programming Approach for the Simulation of Soil Water Retention Curves
AnkitGarg.html
AkhilGarg.html
KangTai.html
SBarontini.html
AlexiaStokes.html
https___hal.archives-ouvertes.fr_hal-01268778 https://hal.archives-ouvertes.fr/hal-01268778
http___dx.doi.org_10.1007_s11242-014-0313-8 http://dx.doi.org/10.1007/s11242-014-0313-8
http___dx.doi.org_10.1007_s11242-014-0313-8 http://dx.doi.org/10.1007/s11242-014-0313-8
garg:2014:GGE Estimation of Pore Water Pressure of Soil Using Genetic Programming
AnkitGarg.html
AkhilGarg.html
KangTai.html
SekharanSreedeep.html
http___link.springer.com_article_10.1007_s10706-014-9755-6 http://link.springer.com/article/10.1007/s10706-014-9755-6
http___dx.doi.org_10.1007_s10706-014-9755-6 http://dx.doi.org/10.1007/s10706-014-9755-6
GARG2017351 A new computational approach for estimation of wilting point for green infrastructure
AnkitGarg.html
JinhuiLi.html
JinjunHou.html
ChristianBerretta.html
AkhilGarg.html
http___eprints.whiterose.ac.uk_119632_ http://eprints.whiterose.ac.uk/119632/
http___www.sciencedirect.com_science_article_pii_S026322411730461X http://www.sciencedirect.com/science/article/pii/S026322411730461X
http___dx.doi.org_10.1016_j.measurement.2017.07.026 http://dx.doi.org/10.1016/j.measurement.2017.07.026
Garg:2015:SEC A molecular simulation based computational intelligence study of a nano-machining process with implications on its environmental performance
AkhilGarg.html
VenkateshVijayaraghavan.html
JasmineSiuLeeLam.html
PravinMSingru.html
LiangGao.html
http___dx.doi.org_10.1016_j.swevo.2015.01.001 http://dx.doi.org/10.1016/j.swevo.2015.01.001
http___www.sciencedirect.com_science_article_pii_S2210650215000115 http://www.sciencedirect.com/science/article/pii/S2210650215000115
Garg:2015:Measurement Measurement of environmental aspect of 3-D printing process using soft computing methods
AkhilGarg.html
JasmineSiuLeeLam.html
http___dx.doi.org_10.1016_j.measurement.2015.04.016 http://dx.doi.org/10.1016/j.measurement.2015.04.016
http___www.sciencedirect.com_science_article_pii_S0263224115002195 http://www.sciencedirect.com/science/article/pii/S0263224115002195
Garg:2015:Measurementa Model development based on evolutionary framework for condition monitoring of a lathe machine
AkhilGarg.html
VenkateshVijayaraghavan.html
KangTai.html
PravinMSingru.html
VishalJain.html
NikileshKrishnakumar.html
http___dx.doi.org_10.1016_j.measurement.2015.04.025 http://dx.doi.org/10.1016/j.measurement.2015.04.025
http___www.sciencedirect.com_science_article_pii_S0263224115002389 http://www.sciencedirect.com/science/article/pii/S0263224115002389
Garg:2015:JCP Energy conservation in manufacturing operations: modelling the milling process by a new complexity-based evolutionary approach
AkhilGarg.html
JasmineSiuLeeLam.html
LiangGao.html
http___dx.doi.org_10.1016_j.jclepro.2015.06.043 http://dx.doi.org/10.1016/j.jclepro.2015.06.043
http___www.sciencedirect.com_science_article_pii_S0959652615007726 http://www.sciencedirect.com/science/article/pii/S0959652615007726
Garg:2015:JCPa Improving environmental sustainability by formulation of generalized power consumption models using an ensemble based multi-gene genetic programming approach
AkhilGarg.html
JasmineSiuLeeLam.html
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Garg:2015:engcomp Evolving genetic programming models of higher generalization ability in modelling of turning process
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KangTai.html
https___www.emerald.com_insight_content_doi_10.1108_EC-12-2014-0252_full_html https://www.emerald.com/insight/content/doi/10.1108/EC-12-2014-0252/full/html
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Garg:2016:JCP Power consumption and tool life models for the production process
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JasmineSiuLeeLam.html
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Garg:2016:JCPa Modeling multiple-response environmental and manufacturing characteristics of EDM process
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JasmineSiuLeeLam.html
LiangGao.html
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Garg:2016:CILS Framework based on number of basis functions complexity measure in investigation of the power characteristics of direct methanol fuel cell
AkhilGarg.html
BiranchiNarayanPanda.html
DYZhao.html
KangTai.html
http___dx.doi.org_10.1016_j.chemolab.2016.03.025 http://dx.doi.org/10.1016/j.chemolab.2016.03.025
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garg:2016:HSAM A New Variant of Genetic Programming in Formulation of Laser Energy Consumption Model of 3D Printing Process
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JasmineSiuLeeLam.html
MMSavalani.html
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Garg:2016:JCPb Study of effect of nanofluid concentration on response characteristics of machining process for cleaner production
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ShrutidharaSarma.html
BiranchiNarayanPanda.html
JianZhang2.html
LiangGao.html
http___dx.doi.org_10.1016_j.jclepro.2016.06.122 http://dx.doi.org/10.1016/j.jclepro.2016.06.122
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Garg:2017:ASC A hybrid computational intelligence framework in modelling of coal-oil agglomeration phenomenon
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BiranchiNarayanPanda.html
http___dx.doi.org_10.1016_j.asoc.2017.01.054 http://dx.doi.org/10.1016/j.asoc.2017.01.054
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GARG:2017:Energy Design of explicit models for estimating efficiency characteristics of microbial fuel cells
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http___dx.doi.org_10.1016_j.energy.2017.05.180 http://dx.doi.org/10.1016/j.energy.2017.05.180
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GARG:2018:Measurement Design and analysis of capacity models for Lithium-ion battery
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XiongbinPeng.html
MyLoanPhungLe.html
KapilPareek.html
CMMChin.html
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GARG:2019:JCP Evolutionary framework design in formulation of decision support models for production emissions and net profit of firm: Implications on environmental concerns of supply chains
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LiangGao.html
WeiLi.html
SurinderSingh.html
XiongbinPeng.html
XujianCui.html
ZFan.html
HarpreetSingh.html
CMMChin.html
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GARG:2019:JES Evaluation of batteries residual energy for battery pack recycling: Proposition of stack stress-coupled-AI approach
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LiWei.html
AnkitGoyal.html
XujianCui.html
LiangGao.html
http___dx.doi.org_10.1016_j.est.2019.101001 http://dx.doi.org/10.1016/j.est.2019.101001
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SurinderSingh.html
LiangGao.html
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https___dblp.org_rec_journals_ijbic_GargSGXT20.bib https://dblp.org/rec/journals/ijbic/GargSGXT20.bib
GARG:2020:swarm Framework of model selection criteria approximated genetic programming for optimization function for renewable energy systems
AkhilGarg.html
ShaosenSu.html
FanLi.html
LiangGao.html
http___www.sciencedirect.com_science_article_pii_S221065022030403X http://www.sciencedirect.com/science/article/pii/S221065022030403X
http___dx.doi.org_10.1016_j.swevo.2020.100750 http://dx.doi.org/10.1016/j.swevo.2020.100750
Garg:2009:WEWRC Reservoir Sedimentation Estimation Using Genetic Programming Technique
VaibhavGarg.html
VJothiprakash.html
http___dx.doi.org_10.1061_41036_342_149 http://dx.doi.org/10.1061/41036(342)149
Garg:2010:JHE Modeling the Time Variation of Reservoir Trap Efficiency
VaibhavGarg.html
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http___dx.doi.org_10.1061__ASCE_HE.1943-5584.0000273 http://dx.doi.org/10.1061/(ASCE)HE.1943-5584.0000273
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Garg:2013:ASC Evaluation of reservoir sedimentation using data driven techniques
VaibhavGarg.html
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http___dx.doi.org_10.1016_j.asoc.2013.04.019 http://dx.doi.org/10.1016/j.asoc.2013.04.019
http___www.sciencedirect.com_science_article_pii_S1568494613001439 http://www.sciencedirect.com/science/article/pii/S1568494613001439
Garg:2014:NH Modeling catchment sediment yield: a genetic programming approach
VaibhavGarg.html
http___link.springer.com_article_10.1007_2Fs11069-011-0014-3 http://link.springer.com/article/10.1007%2Fs11069-011-0014-3
http___dx.doi.org_10.1007_s11069-011-0014-3 http://dx.doi.org/10.1007/s11069-011-0014-3
Garibay:2010:GPEM Dario Floreano and Claudio Mattiussi (eds): Bio-inspired artificial intelligence: theories, methods, and technologies
IvanGaribay.html
http___dx.doi.org_10.1007_s10710-010-9104-3 http://dx.doi.org/10.1007/s10710-010-9104-3
garmendia-doval:1998:etrsf Evolving Tree Representations of Stack Filters
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ChilukuriKMohan.html
MohitKPrasad.html
http___citeseer.ist.psu.edu_cache_papers_cs_24116_http_zSzzSzwww.scms.rgu.ac.ukzSzstaffzSzbgdzSzGP98.pdf_garmendia-doval98evolving.pdf http://citeseer.ist.psu.edu/cache/papers/cs/24116/http:zSzzSzwww.scms.rgu.ac.ukzSzstaffzSzbgdzSzGP98.pdf/garmendia-doval98evolving.pdf
http___citeseer.ist.psu.edu_494447.html http://citeseer.ist.psu.edu/494447.html
garmendia-doval:2003:EA Post Docking Filtering Using Cartesian Genetic Programming
ABeatrizGarmendia-Doval.html
SDavidMorley.html
SzilveszterJuhos.html
http___dx.doi.org_10.1007_b96080 http://dx.doi.org/10.1007/b96080
http___dx.doi.org_10.1007_978-3-540-24621-3_16 http://dx.doi.org/10.1007/978-3-540-24621-3_16
garmendia-doval:2004:GPTP Post Docking Filtering Using Cartesian Genetic Programming
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JulianFMiller.html
SDavidMorley.html
http___dx.doi.org_10.1007_0-387-23254-0_14 http://dx.doi.org/10.1007/0-387-23254-0_14
garrow:2022:ECADA Why Functional Program Synthesis Matters (In the Realm of Genetic Programming)
FraserGarrow.html
MichaelALones.html
RobertStewart.html
https___pure.hw.ac.uk_ws_portalfiles_portal_54217416_GECCO_ECADA_2022_GarrowLonesStewart_WhyFunctionalProgramSynthesisMatters.pdf https://pure.hw.ac.uk/ws/portalfiles/portal/54217416/GECCO_ECADA_2022_GarrowLonesStewart_WhyFunctionalProgramSynthesisMatters.pdf
http___dx.doi.org_10.1145_3520304.3534045 http://dx.doi.org/10.1145/3520304.3534045
gashaw:2022:MESE Consolidation parameters conceptualization using regression analysis and genetic programming for Addis Ababa's red clay soils
NigistAberaGashaw.html
EleyasAssefa.html
CostasSachpazis.html
http___link.springer.com_article_10.1007_s40808-021-01127-2 http://link.springer.com/article/10.1007/s40808-021-01127-2
http___dx.doi.org_10.1007_s40808-021-01127-2 http://dx.doi.org/10.1007/s40808-021-01127-2
gathercole:1994:stss Some Training Subset Selection Methods for Supervised Learning in Genetic Programming
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http___citeseer.ist.psu.edu_cache_papers_cs_733_ftp_zSzzSzftp.dai.ed.ac.ukzSzpubzSzuserzSzchrisgzSzchrisg_dss_paper_resubmitted_to_ecai94workshop.pdf_gathercole94some.pdf http://citeseer.ist.psu.edu/cache/papers/cs/733/ftp:zSzzSzftp.dai.ed.ac.ukzSzpubzSzuserzSzchrisgzSzchrisg_dss_paper_resubmitted_to_ecai94workshop.pdf/gathercole94some.pdf
http___citeseer.ist.psu.edu_gathercole94some.html http://citeseer.ist.psu.edu/gathercole94some.html
ga94aGathercole Dynamic Training Subset Selection for Supervised Learning in Genetic Programming
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http___citeseer.ist.psu.edu_gathercole94dynamic.html http://citeseer.ist.psu.edu/gathercole94dynamic.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_94-006.ps.gz http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/94-006.ps.gz
http___dx.doi.org_10.1007_3-540-58484-6_275 http://dx.doi.org/10.1007/3-540-58484-6_275
Gathercole The MAX Problem for Genetic Programming - Highlighting an Adverse Interaction between the Crossover Operator and a Restriction on Tree Depth
ChrisGathercole.html
PeterRoss.html
http___citeseer.ist.psu.edu_gathercole95max.html http://citeseer.ist.psu.edu/gathercole95max.html
Gathercole:1996:aicrtd An Adverse Interaction between Crossover and Restricted Tree Depth in Genetic Programming
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PeterRoss.html
http___citeseer.ist.psu.edu_153919.html http://citeseer.ist.psu.edu/153919.html
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http___cognet.mit.edu_sites_default_files_books_9780262315876_pdfs_9780262315876_chap37.pdf http://cognet.mit.edu/sites/default/files/books/9780262315876/pdfs/9780262315876_chap37.pdf
http___cognet.mit.edu_library_books_view_isbn_0262611279 http://cognet.mit.edu/library/books/view?isbn=0262611279
Gathercole:1997:sp Small Populations over Many Generations can beat Large Populations over Few Generations in Genetic Programming
ChrisGathercole.html
PeterRoss.html
http___citeseer.ist.psu.edu_189252.html http://citeseer.ist.psu.edu/189252.html
Gathercole:1997:lef Tackling the Boolean Even N Parity Problem with Genetic Programming and Limited-Error Fitness
ChrisGathercole.html
PeterRoss.html
http___citeseer.ist.psu.edu_79389.html http://citeseer.ist.psu.edu/79389.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.26.1298 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.26.1298
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ChrisGathercole.html
http___hdl.handle.net_1842_533 http://hdl.handle.net/1842/533
http___www.era.lib.ed.ac.uk_dspace_bitstream_1842_533_3_Gathercole.pdf http://www.era.lib.ed.ac.uk/dspace/bitstream/1842/533/3/Gathercole.pdf
http___www.dai.ed.ac.uk_pub_daidb_papers_pt9810.ps.gz http://www.dai.ed.ac.uk/pub/daidb/papers/pt9810.ps.gz
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gaucel:2014:EuroGP Learning Dynamical Systems Using Standard Symbolic Regression
SebastienGaucel.html
MaartenKeijzer.html
EvelyneLutton.html
AlbertoTonda.html
http___dx.doi.org_10.1007_978-3-662-44303-3_3 http://dx.doi.org/10.1007/978-3-662-44303-3_3
Gaudesi:2013:GECCO An efficient distance metric for linear genetic programming
MarcoGaudesi.html
GiovanniSquillero.html
AlbertoTonda.html
http___dx.doi.org_10.1145_2463372.2463495 http://dx.doi.org/10.1145/2463372.2463495
Gaudesi:2014:GECCOcomp Universal information distance for genetic programming
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GiovanniSquillero.html
AlbertoTonda.html
http___doi.acm.org_10.1145_2598394.2598440 http://doi.acm.org/10.1145/2598394.2598440
http___dx.doi.org_10.1145_2598394.2598440 http://dx.doi.org/10.1145/2598394.2598440
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MarcoGaudesi.html
http___porto.polito.it_2592954_ http://porto.polito.it/2592954/
http___www.phd-dauin.polito.it_pdfs_Marco_20GAUDESI_thesis.pdf http://www.phd-dauin.polito.it/pdfs/Marco%20GAUDESI_thesis.pdf
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SwenEGaudl.html
JosephCarterOsborn.html
JoannaJBryson.html
http___dx.doi.org_10.1007_978-3-319-23485-4 http://dx.doi.org/10.1007/978-3-319-23485-4
http___dx.doi.org_10.1007_978-3-319-23485-4_30 http://dx.doi.org/10.1007/978-3-319-23485-4_30
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SwenEGaudl.html
http___opus.bath.ac.uk_53314_1_dissertationRoot.pdf http://opus.bath.ac.uk/53314/1/dissertationRoot.pdf
http___opus.bath.ac.uk_53314_ http://opus.bath.ac.uk/53314/
http___ethos.bl.uk_OrderDetails.do_uin_uk.bl.ethos.698997 http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.698997
gaudl:2018:platformersai A Genetic Programming Framework for 2D Platform AI
SwenEGaudl.html
https___arxiv.org_pdf_1803.01648 https://arxiv.org/pdf/1803.01648
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SurabhiGaur.html
MCDeo.html
http___dx.doi.org_10.1016_j.oceaneng.2008.04.007 http://dx.doi.org/10.1016/j.oceaneng.2008.04.007
http___www.sciencedirect.com_science_article_B6V4F-4SD6SSR-1_2_619ec0df2657e8e39b38b7d533d37ec4 http://www.sciencedirect.com/science/article/B6V4F-4SD6SSR-1/2/619ec0df2657e8e39b38b7d533d37ec4
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SaumyaBhadauria.html
AdityaTrivedi.html
http___dx.doi.org_10.1109_CICT56698.2022.9997991 http://dx.doi.org/10.1109/CICT56698.2022.9997991
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NicolasGautier.html
https___tel.archives-ouvertes.fr_tel-01150428 https://tel.archives-ouvertes.fr/tel-01150428
https___tel.archives-ouvertes.fr_tel-01150428_document https://tel.archives-ouvertes.fr/tel-01150428/document
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Gautier:2015:FLM Closed-loop separation control using machine learning
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ThomasDuriez.html
BerndRNoack.html
MarcSegond.html
MarkusWAbel.html
http___arxiv.org_abs_1405.0908 http://arxiv.org/abs/1405.0908
http___journals.cambridge.org_article_S0022112015000956 http://journals.cambridge.org/article_S0022112015000956
http___dx.doi.org_10.1017_jfm.2015.95 http://dx.doi.org/10.1017/jfm.2015.95
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DimitrisGavrilis.html
IoannisGTsoulos.html
EvangelosDermatas.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.628.488 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.628.488
http___users.cs.uoi.gr__itsoulos_publications_protein.pdf http://users.cs.uoi.gr/~itsoulos/publications/protein.pdf
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DimitrisGavrilis.html
IoannisGTsoulos.html
EvangelosDermatas.html
http___dx.doi.org_10.1016_j.patrec.2008.02.007 http://dx.doi.org/10.1016/j.patrec.2008.02.007
http___www.sciencedirect.com_science_article_B6V15-4S01WDH-4_2_aaff3c40c5eca125dfacb426d88fa177 http://www.sciencedirect.com/science/article/B6V15-4S01WDH-4/2/aaff3c40c5eca125dfacb426d88fa177
Gay:2020:SSBSE Defects4J as a Challenge Case for the Search-Based Software Engineering Community
GregoryGay.html
ReneJust.html
https___www.youtube.com_watch_v_8UAMmNlukh8 https://www.youtube.com/watch?v=8UAMmNlukh8
http___dx.doi.org_10.1007_978-3-030-59762-7_19 http://dx.doi.org/10.1007/978-3-030-59762-7_19
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HaozhouLyu.html
GregoryGay.html
MaikoSakamoto.html
https___greg4cr.github.io_pdf_23cfgi.pdf https://greg4cr.github.io/pdf/23cfgi.pdf
http___dx.doi.org_10.1007_978-3-031-48796-5_5 http://dx.doi.org/10.1007/978-3-031-48796-5_5
Gayanov:2017:ISSPIT Estimating the trajectory of a thrown object from video signal with use of genetic programming
RuslanGayanov.html
KonstantinMironov.html
KonstantinMironov.html
DmitriyKurennov.html
http___dx.doi.org_10.1109_ISSPIT.2017.8388630 http://dx.doi.org/10.1109/ISSPIT.2017.8388630
GAYANOV:2018:IFAC-PapersOnLine Transportation of small objects by robotic throwing and catching: applying genetic programming for trajectory estimation
RuslanGayanov.html
KonstantinMironov.html
RamilMukhametshin.html
AleksandrVokhmintsev.html
DmitriyKurennov.html
http___dx.doi.org_10.1016_j.ifacol.2018.11.271 http://dx.doi.org/10.1016/j.ifacol.2018.11.271
http___www.sciencedirect.com_science_article_pii_S2405896318329446 http://www.sciencedirect.com/science/article/pii/S2405896318329446
GE:2021:NEI Frequency component mixing of pulsed or multi-frequency eddy current testing for nonferromagnetic plate thickness measurement using a multi-gene genetic programming algorithm
JiuhaoGe.html
NoritakaYusa.html
MengbaoFan.html
http___dx.doi.org_10.1016_j.ndteint.2021.102423 http://dx.doi.org/10.1016/j.ndteint.2021.102423
https___www.sciencedirect.com_science_article_pii_S0963869521000220 https://www.sciencedirect.com/science/article/pii/S0963869521000220
gearhart:2003:GPPSMDP Genetic Programming as Policy Search in Markov Decision Processes
ChrisGearhart.html
http___www.genetic-programming.org_sp2003_Gearhart.pdf http://www.genetic-programming.org/sp2003/Gearhart.pdf
gedik:2018:Water Least Squares Support Vector Mechanics to Predict the Stability Number of Rubble-Mound Breakwaters
NurayGedik.html
https___www.mdpi.com_2073-4441_10_10_1452 https://www.mdpi.com/2073-4441/10/10/1452
http___dx.doi.org_10.3390_w10101452 http://dx.doi.org/10.3390/w10101452
GeethaRamani:2009:IJARS Genetic Programming Method of Evolving the Robotic Soccer Player Strategies with Ant Intelligence
RGeethaRamani.html
RenganathanSubramanian.html
PViswanath.html
http___dx.doi.org_10.5772_6790 http://dx.doi.org/10.5772/6790
geiger:2023:GECCO Down-Sampled Epsilon-Lexicase Selection for Real-World Symbolic Regression Problems
AlinaGeiger.html
DominikSobania.html
FranzRothlauf.html
http___dx.doi.org_10.1145_3583131.3590400 http://dx.doi.org/10.1145/3583131.3590400
Geiger:2024:EuroGP A Comprehensive Comparison of Lexicase-Based Selection Methods for Symbolic Regression Problems
AlinaGeiger.html
DominikSobania.html
FranzRothlauf.html
http___dx.doi.org_10.1007_978-3-031-56957-9_12 http://dx.doi.org/10.1007/978-3-031-56957-9_12
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http___gpbib.cs.ucl.ac.uk_gecco2005_docs_p1783.pdf http://gpbib.cs.ucl.ac.uk/gecco2005/docs/p1783.pdf
http___www.lri.fr__teytaud_eabloat.pdf http://www.lri.fr/~teytaud/eabloat.pdf
http___dx.doi.org_10.1145_1068009.1068309 http://dx.doi.org/10.1145/1068009.1068309
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http___www.lri.fr__teytaud_longBloat.pdf http://www.lri.fr/~teytaud/longBloat.pdf
http___www.lri.fr__gelly_paper_antibloatGecco2005_long_version.pdf http://www.lri.fr/~gelly/paper/antibloatGecco2005_long_version.pdf
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http___www.lri.fr__gelly_paper_bloatCap2005.pdf http://www.lri.fr/~gelly/paper/bloatCap2005.pdf
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OlivierTeytaud.html
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http___hal.inria.fr_docs_00_11_28_40_PDF_riabloat.pdf http://hal.inria.fr/docs/00/11/28/40/PDF/riabloat.pdf
http___hal.inria.fr_inria-00112840_en_ http://hal.inria.fr/inria-00112840/en/
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NurMerveAmil.html
NicolasBredeche.html
ChristianGagne.html
SylvainGelly.html
MarcSchoenauer.html
OlivierTeytaud.html
https___citeseerx.ist.psu.edu_viewdoc_download_doi_10.1.1.648.7930_rep_rep1_type_pdf https://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.648.7930&rep=rep1&type=pdf
https___hal.inria.fr_inria-00369782_document https://hal.inria.fr/inria-00369782/document
http___dx.doi.org_10.1007_978-3-642-01181-8_28 http://dx.doi.org/10.1007/978-3-642-01181-8_28
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http___dx.doi.org_10.1016_j.jpowsour.2017.08.014 http://dx.doi.org/10.1016/j.jpowsour.2017.08.014
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http___dx.doi.org_10.1145_3583133.3590696 http://dx.doi.org/10.1145/3583133.3590696
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http___dx.doi.org_10.1109_MODELS-C59198.2023.00100 http://dx.doi.org/10.1109/MODELS-C59198.2023.00100
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http___dx.doi.org_10.1109_CEC48606.2020.9185917 http://dx.doi.org/10.1109/CEC48606.2020.9185917
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AshleyGeorge.html
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http___gpbib.cs.ucl.ac.uk_gecco2006_docs_p939.pdf http://gpbib.cs.ucl.ac.uk/gecco2006/docs/p939.pdf
http___dx.doi.org_10.1145_1143997.1144159 http://dx.doi.org/10.1145/1143997.1144159
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MilenSvetoslavovGeorgiev.html
IvanTTanev.html
KatsunoriShimohara.html
http___dx.doi.org_10.1145_3205651.3208259 http://dx.doi.org/10.1145/3205651.3208259
Georgiev:2018:SICE Performance Analysis and Comparison on Heterogeneous and Homogeneous Multi-Agent Societies in Correlation to Their Average Capabilities
MilenSvetoslavovGeorgiev.html
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http___dx.doi.org_10.23919_SICE.2018.8492713 http://dx.doi.org/10.23919/SICE.2018.8492713
Georgiou:2006:10WSEAS jGE - A Java implementation of Grammatical Evolution
LoukasGeorgiou.html
WilliamJTeahan.html
http___www.wseas.us_e-library_conferences_2006cscc_papers_534-869.pdf http://www.wseas.us/e-library/conferences/2006cscc/papers/534-869.pdf
Georgiou:2006:WSEAS Implications of Prior Knowledge and Population Thinking in Grammatical Evolution: Toward a Knowledge Sharing Architecture
LoukasGeorgiou.html
WilliamJTeahan.html
http___www.worldses.org_journals_systems_old.htm http://www.worldses.org/journals/systems/old.htm
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LoukasGeorgiou.html
WilliamJTeahan.html
http___dx.doi.org_10.1007_978-3-540-77475-4_4 http://dx.doi.org/10.1007/978-3-540-77475-4_4
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LoukasGeorgiou.html
WilliamJTeahan.html
http___www.robinbye.com_files_publications_ICEC_2010.pdf http://www.robinbye.com/files/publications/ICEC_2010.pdf
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LoukasGeorgiou.html
WilliamJTeahan.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.208.1709 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.208.1709
http___ijcai.org_papers11_Papers_IJCAI11-214.pdf http://ijcai.org/papers11/Papers/IJCAI11-214.pdf
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http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_Georgiou_thesis.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/Georgiou_thesis.pdf
https___ethos.bl.uk_OrderDetails.do_uin_uk.bl.ethos.569460 https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.569460
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EfstratiosFGeorgopoulos.html
GeorgePZarogiannis.html
AdamVAdamopoulos.html
AnastasiosPVassilopoulos.html
SpiridonDLikothanassis.html
http___dx.doi.org_10.1007_978-3-540-87881-0_9 http://dx.doi.org/10.1007/978-3-540-87881-0_9
georgopoulos:2010:ISD Genetic Programming Modeling and Complexity Analysis of the Magnetoencephalogram of Epileptic Patients
EfstratiosFGeorgopoulos.html
AdamVAdamopoulos.html
SpiridonDLikothanassis.html
http___link.springer.com_chapter_10.1007_b137171_40 http://link.springer.com/chapter/10.1007/b137171_40
http___dx.doi.org_10.1007_b137171_40 http://dx.doi.org/10.1007/b137171_40
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DimitrisGavrilis.html
IoannisGTsoulos.html
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PeterPGroumpos.html
http___dx.doi.org_10.1016_j.bspc.2007.05.003 http://dx.doi.org/10.1016/j.bspc.2007.05.003
http___www.sciencedirect.com_science_article_B7XMN-4P9K9C1-1_2_26899c02af37c6edf88c6baa6282a061 http://www.sciencedirect.com/science/article/B7XMN-4P9K9C1-1/2/26899c02af37c6edf88c6baa6282a061
Gepp:2009:GPEM A review of procedures to evolve quantum algorithms
AdrianGepp.html
PhilStocks.html
http___dx.doi.org_10.1007_s10710-009-9080-7 http://dx.doi.org/10.1007/s10710-009-9080-7
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HansUlrichGerber.html
https___doi.org_10.3929_ethz-a-001854886 https://doi.org/10.3929/ethz-a-001854886
https___www.research-collection.ethz.ch_bitstream_handle_20.500.11850_143301_eth-40917-01.pdf https://www.research-collection.ethz.ch/bitstream/handle/20.500.11850/143301/eth-40917-01.pdf
gerber:2023:GECCOcomp2 An Analysis of Choice Functions for Fuzzy ART Using Grammatical Evolution
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NelishiaPillay.html
http___dx.doi.org_10.1145_3583133.3590554 http://dx.doi.org/10.1145/3583133.3590554
Gerules:2016:CEC A Survey of Modularity in Genetic Programming
GeorgeGerules.html
CezaryZJanikow.html
http___www.cs.umsl.edu__janikow_publications_2016_PID4170473.pdf http://www.cs.umsl.edu/~janikow/publications/2016/PID4170473.pdf
http___dx.doi.org_10.1109_CEC.2016.7748328 http://dx.doi.org/10.1109/CEC.2016.7748328
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GeorgeGerules.html
https___irl.umsl.edu_dissertation_867_ https://irl.umsl.edu/dissertation/867/
https___search.proquest.com_docview_2302013388_accountid_14511 https://search.proquest.com/docview/2302013388?accountid=14511
Gervas:2023:GPEM Evolutionary combination of connected event schemas into meaningful plots
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GonzaloMendez.html
EugenioPabloConcepcionCuevas.html
https___rdcu.be_deav6 https://rdcu.be/deav6
http___dx.doi.org_10.1007_s10710-023-09454-2 http://dx.doi.org/10.1007/s10710-023-09454-2
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RiccardoGervasi.html
IreneAzzali.html
DonalBisanzio.html
MarioGiacobini.html
AndreaMosca.html
LuigiBertolotti.html
https___www.springer.com_us_book_9783030166694 https://www.springer.com/us/book/9783030166694
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JuanRamonRabunalDopico.html
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JavierPereiraLoureiro.html
http___www.actapress.com_PaperInfo.aspx_PaperID_28200 http://www.actapress.com/PaperInfo.aspx?PaperID=28200
http___sabia.tic.udc.es_sabia_secciones_publications__id_311 http://sabia.tic.udc.es/sabia/secciones/publications/?id=311
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AGeyer.html
AndreasGeyer-Schulz.html
AlfredTaudes.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_Geyer_1990_pfss.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/Geyer_1990_pfss.pdf
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http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_GeyerSchulz92c.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/GeyerSchulz92c.pdf
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HansBandemer.html
http___books.google.co.uk_books_id_FzjvAAAAMAAJ http://books.google.co.uk/books?id=FzjvAAAAMAAJ
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AndreasGeyer-Schulz.html
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WalterFrisch.html
AlfredTaudes.html
http___books.google.co.uk_books_id_PAXYPQAACAAJ http://books.google.co.uk/books?id=PAXYPQAACAAJ
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AndreasGeyer-Schulz.html
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AndreasGeyer-Schulz.html
http___www.amazon.com_Rule-Based-Systems-Learning-Fuzziness-Computing_dp_3790809640 http://www.amazon.com/Rule-Based-Systems-Learning-Fuzziness-Computing/dp/3790809640
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FranciscoHerrera.html
JLVerdegay.html
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JBiethahn.html
AHohnerloh.html
JKuhl.html
VNissen.html
http___www.amazon.de_Betriebliche-Anwendungen-von-Fuzzy-Technologien-Softcomputing_dp_B003E8W9ZE http://www.amazon.de/Betriebliche-Anwendungen-von-Fuzzy-Technologien-Softcomputing/dp/B003E8W9ZE
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AndreasGeyer-Schulz.html
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AndreasGeyer-Schulz.html
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AndreasGeyer-Schulz.html
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BissanGhaddar.html
NizarSakr.html
YawAsiedu.html
http___dx.doi.org_10.1016_j.ejor.2015.12.041 http://dx.doi.org/10.1016/j.ejor.2015.12.041
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FereidoonMoghaddasNejad.html
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MGhanbari.html
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BaratGhobadian.html
TalalYusaf.html
AntonioPaoloCarlucci.html
MostafaKianiDehKiani.html
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MostafaGhane.html
MeiChooAng.html
MehrbakhshNilashi.html
ShahryarSorooshian.html
http___dx.doi.org_10.1016_j.bbe.2022.07.002 http://dx.doi.org/10.1016/j.bbe.2022.07.002
https___www.sciencedirect.com_science_article_pii_S0208521622000663 https://www.sciencedirect.com/science/article/pii/S0208521622000663
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RobertGhanea-Hercock.html
AdamFraser.html
ghanea-hercock:1999:DGPMA Distributed Genetic Programming with Mobile Agents
RobertGhanea-Hercock.html
DivineTNdumu.html
JaronCollis.html
http___gpbib.cs.ucl.ac.uk_gecco1999_AA-004.pdf http://gpbib.cs.ucl.ac.uk/gecco1999/AA-004.pdf
http___gpbib.cs.ucl.ac.uk_gecco1999_AA-004.ps http://gpbib.cs.ucl.ac.uk/gecco1999/AA-004.ps
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KamranGhani.html
JohnAClark.html
http___dx.doi.org_10.1109_SSBSE.2009.26 http://dx.doi.org/10.1109/SSBSE.2009.26
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KamranGhani.html
JohnAClark.html
http___dx.doi.org_10.1109_ICSEA.2009.31 http://dx.doi.org/10.1109/ICSEA.2009.31
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FarhadGharagheizi.html
PoorandokhtIlani-Kashkouli.html
NasrinFarahani.html
AmirHMohammadi.html
http___dx.doi.org_10.1016_j.fluid.2012.05.015 http://dx.doi.org/10.1016/j.fluid.2012.05.015
http___www.sciencedirect.com_science_article_pii_S0378381212002130 http://www.sciencedirect.com/science/article/pii/S0378381212002130
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WaelTahaGhareeb.html
EhabEl-Saadany.html
http___dx.doi.org_10.1109_EPECS.2013.6713061 http://dx.doi.org/10.1109/EPECS.2013.6713061
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WaelTahaGhareeb.html
http___hdl.handle.net_10012_8631 http://hdl.handle.net/10012/8631
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WaelTahaGhareeb.html
EhabEl-Saadany.html
http___dx.doi.org_10.1109_EPEC.2013.6802948 http://dx.doi.org/10.1109/EPEC.2013.6802948
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SadjadGharehbaghi.html
AHGandomi.html
SAchakpour.html
MohammadNabiOmidvar.html
https___eprints.whiterose.ac.uk_156298_1_Manuscript-R2-v4.pdf https://eprints.whiterose.ac.uk/156298/1/Manuscript-R2-v4.pdf
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SadjadGharehbaghi.html
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AHGandomi.html
http___dx.doi.org_10.1016_j.compstruc.2021.106584 http://dx.doi.org/10.1016/j.compstruc.2021.106584
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Gharun:2015:AFM Mapping spatial and temporal variation in tree water use with an elevation model and gridded temperature data
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TarrynLTurnbull.html
JosephHenry.html
MarkAAdams.html
http___dx.doi.org_10.1016_j.agrformet.2014.09.027 http://dx.doi.org/10.1016/j.agrformet.2014.09.027
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AhmadGhasemzadehMahani.html
PayamBazoobandi.html
SeyedMohsenHosseinian.html
HassanZiari.html
http___dx.doi.org_10.1016_j.conbuildmat.2021.122876 http://dx.doi.org/10.1016/j.conbuildmat.2021.122876
https___www.sciencedirect.com_science_article_pii_S095006182100636X https://www.sciencedirect.com/science/article/pii/S095006182100636X
GHAZOUANI:2020:ESA Genetic programming-based learning of texture classification descriptors from Local Edge Signature
HaythemGhazouani.html
WalidBarhoumi.html
http___dx.doi.org_10.1016_j.eswa.2020.113667 http://dx.doi.org/10.1016/j.eswa.2020.113667
http___www.sciencedirect.com_science_article_pii_S0957417420304917 http://www.sciencedirect.com/science/article/pii/S0957417420304917
DBLP:conf/eann/GhazouaniBA20 A Genetic Programming Method for Scale-Invariant Texture Classification
HaythemGhazouani.html
WalidBarhoumi.html
YosraAntit.html
https___doi.org_10.1007_978-3-030-48791-1_47 https://doi.org/10.1007/978-3-030-48791-1_47
http___dx.doi.org_10.1007_978-3-030-48791-1_47 http://dx.doi.org/10.1007/978-3-030-48791-1_47
https___dblp.org_rec_conf_eann_GhazouaniBA20.bib https://dblp.org/rec/conf/eann/GhazouaniBA20.bib
GHAZOUANI:2021:CBM Towards non-data-hungry and fully-automated diagnosis of breast cancer from mammographic images
HaythemGhazouani.html
WalidBarhoumi.html
http___dx.doi.org_10.1016_j.compbiomed.2021.105011 http://dx.doi.org/10.1016/j.compbiomed.2021.105011
https___www.sciencedirect.com_science_article_pii_S0010482521008052 https://www.sciencedirect.com/science/article/pii/S0010482521008052
GHAZOUANI:2021:ASC A genetic programming-based feature selection and fusion for facial expression recognition
HaythemGhazouani.html
http___dx.doi.org_10.1016_j.asoc.2021.107173 http://dx.doi.org/10.1016/j.asoc.2021.107173
https___www.sciencedirect.com_science_article_pii_S156849462100096X https://www.sciencedirect.com/science/article/pii/S156849462100096X
GHAZVINEI:2017:CEA Performance investigation of the dam intake physical hydraulic model using Support Vector Machine with a discrete wavelet transform algorithm
PezhmanTahereiGhazvinei.html
ShahaboddinShamshirband.html
ShervinMotamedi.html
HosseinHassanpourDarvishi.html
ElySalwana.html
http___dx.doi.org_10.1016_j.compag.2017.05.033 http://dx.doi.org/10.1016/j.compag.2017.05.033
http___www.sciencedirect.com_science_article_pii_S0168169917306737 http://www.sciencedirect.com/science/article/pii/S0168169917306737
Ghazvinei:2018:eaCFM Sugarcane growth prediction based on meteorological parameters using extreme learning machine and artificial neural network
PezhmanTahereiGhazvinei.html
HosseinHassanpourDarvishi.html
AmirMosavi.html
KhamaruzamanbinWanYusof.html
MeysamAlizamir.html
ShahaboddinShamshirband.html
Kwok-WingChau.html
https___doi.org_10.1080_19942060.2018.1526119 https://doi.org/10.1080/19942060.2018.1526119
https___nbn-resolving.org_urn_nbn_de_gbv_wim2-20181017-38129 https://nbn-resolving.org/urn:nbn:de:gbv:wim2-20181017-38129
https___www.db-thueringen.de_receive_dbt_mods_00037448 https://www.db-thueringen.de/receive/dbt_mods_00037448
https___www.db-thueringen.de_servlets_MCRFileNodeServlet_dbt_derivate_00043598_Mosavi_Amir_Sugarcane_20growth_20prediction.pdf https://www.db-thueringen.de/servlets/MCRFileNodeServlet/dbt_derivate_00043598/Mosavi_Amir_Sugarcane%20growth%20prediction.pdf
http___dx.doi.org_10.1080_19942060.2018.1526119 http://dx.doi.org/10.1080/19942060.2018.1526119
GHEZELBASH:2022:est New analytical solution and optimization of a thermocline solar energy storage using differential quadrature method and genetic programming
GhazalGhezelbash.html
MojtabaBabaelahi.html
MahdiSaadatfar.html
http___dx.doi.org_10.1016_j.est.2022.104806 http://dx.doi.org/10.1016/j.est.2022.104806
https___www.sciencedirect.com_science_article_pii_S2352152X22008155 https://www.sciencedirect.com/science/article/pii/S2352152X22008155
GHIMIRE:2018:RSE Self-adaptive differential evolutionary extreme learning machines for long-term solar radiation prediction with remotely-sensed MODIS satellite and Reanalysis atmospheric products in solar-rich cities
SujanGhimire.html
RavineshCDeo.html
NathanJDowns.html
NawinRaj.html
http___dx.doi.org_10.1016_j.rse.2018.05.003 http://dx.doi.org/10.1016/j.rse.2018.05.003
http___www.sciencedirect.com_science_article_pii_S0034425718302165 http://www.sciencedirect.com/science/article/pii/S0034425718302165
GHIMIRE:2019:JCP Global solar radiation prediction by ANN integrated with European Centre for medium range weather forecast fields in solar rich cities of Queensland Australia
SujanGhimire.html
RavineshCDeo.html
NathanJDowns.html
NawinRaj.html
http___www.sciencedirect.com_science_article_pii_S0959652619301775 http://www.sciencedirect.com/science/article/pii/S0959652619301775
http___dx.doi.org_10.1016_j.jclepro.2019.01.158 http://dx.doi.org/10.1016/j.jclepro.2019.01.158
Ghimire:thesis Predictive modelling of global solar radiation with artificial intelligence approaches using MODIS satellites and atmospheric reanalysis data for Australia
SujanGhimire.html
https___eprints.usq.edu.au_39892_ https://eprints.usq.edu.au/39892/
http___eprints.usq.edu.au_39892_1_All_word_1.pdf http://eprints.usq.edu.au/39892/1/All_word_1.pdf
Gholami:2014:GECCO Passive solar building design using genetic programming
MohammadMOGholami.html
BrianJRoss.html
http___doi.acm.org_10.1145_2576768.2598211 http://doi.acm.org/10.1145/2576768.2598211
http___dx.doi.org_10.1145_2576768.2598211 http://dx.doi.org/10.1145/2576768.2598211
gholami:NCaA Reliable method of determining stable threshold channel shape using experimental and gene expression programming techniques
AzadehGholami.html
HosseinBonakdari.html
MohammadZeynoddin.html
IsaEbtehaj.html
BahramGharabaghi.html
SaeedRezaKhodashenas.html
http___link.springer.com_article_10.1007_s00521-018-3411-7 http://link.springer.com/article/10.1007/s00521-018-3411-7
http___dx.doi.org_10.1007_s00521-018-3411-7 http://dx.doi.org/10.1007/s00521-018-3411-7
Gholaminezhad:2014:ICRoM Automated synthesis of optimal controller using multi-objective genetic programming for two-mass-spring system
ImanGholaminezhad.html
AliJamali.html
HiradAssimi.html
http___dx.doi.org_10.1109_ICRoM.2014.6990874 http://dx.doi.org/10.1109/ICRoM.2014.6990874
Ghomi:2014:MAS A Novel Electric Power Plants Performance Assessment Technique Based on Genetic Programming Approach
AhmadAttariGhomi.html
AyyubAnsarinejad.html
HamidRazaghi.html
DavoodHafezi.html
MortezaBarazande.html
http___www.ccsenet.org_journal_index.php_mas_article_view_35890 http://www.ccsenet.org/journal/index.php/mas/article/view/35890
http___dx.doi.org_10.5539_mas.v8n3p43 http://dx.doi.org/10.5539/mas.v8n3p43
GHOMISHEH:2020:JMGM Prediction of critical properties of sulfur-containing compounds: New QSPR models
ZahraGhomisheh.html
AliEbrahimpoorGorji.html
MohammadAminSobati.html
http___dx.doi.org_10.1016_j.jmgm.2020.107700 http://dx.doi.org/10.1016/j.jmgm.2020.107700
http___www.sciencedirect.com_science_article_pii_S1093326320304897 http://www.sciencedirect.com/science/article/pii/S1093326320304897
GHOMISHEH:2022:JSC New empirical correlations for the prediction of critical properties and acentric factor of S-containing compounds
ZahraGhomisheh.html
MohammadAminSobati.html
AliEbrahimpoorGorji.html
https___www.sciencedirect.com_science_article_pii_S1741599322000630 https://www.sciencedirect.com/science/article/pii/S1741599322000630
http___dx.doi.org_10.1080_17415993.2021.2017936 http://dx.doi.org/10.1080/17415993.2021.2017936
Ghorbani:2012:ijsce Application of Chaos Theory and Genetic Programming in Runoff Time Series
MohammadAliGhorbani.html
HosseinJabbariKhamnei.html
HAsadi.html
PeymanYousefi.html
http___vixra.org_abs_1405.0106 http://vixra.org/abs/1405.0106
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.1011.4775 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.1011.4775
http___vixra.org_pdf_1405.0106v1.pdf http://vixra.org/pdf/1405.0106v1.pdf
GHORBANI2018455 Chaos-based multigene genetic programming: A new hybrid strategy for river flow forecasting
MohammadAliGhorbani.html
RahmanKhatibi.html
AliDanandehMehr.html
HAsadi.html
http___www.sciencedirect.com_science_article_pii_S002216941830307X http://www.sciencedirect.com/science/article/pii/S002216941830307X
http___dx.doi.org_10.1016_j.jhydrol.2018.04.054 http://dx.doi.org/10.1016/j.jhydrol.2018.04.054
ghorbani:2023:Materials Liquefaction Potential of Saturated Sand Reinforced by Cement-Grouted Micropiles: An Evolutionary Approach Based on Shaking Table Tests
AliGhorbani.html
HadiHasanzadehshooiili.html
MohammadAliSomtiFoumani.html
JurgisMedzvieckas.html
RomualdasKliukas.html
https___www.mdpi.com_1996-1944_16_6_2194 https://www.mdpi.com/1996-1944/16/6/2194
http___dx.doi.org_10.3390_ma16062194 http://dx.doi.org/10.3390/ma16062194
ghosh:2021:CDC An Approach to Geometric Modeling Using Genetic Programming
SnigdhajyotiGhosh.html
DamodarGoswami.html
ChiraRanjanDatta.html
http___link.springer.com_chapter_10.1007_978-981-15-8366-7_13 http://link.springer.com/chapter/10.1007/978-981-15-8366-7_13
http___dx.doi.org_10.1007_978-981-15-8366-7_13 http://dx.doi.org/10.1007/978-981-15-8366-7_13
ghosh:2020:RS Canopy Height Estimation Using Sentinel Series Images through Machine Learning Models in a Mangrove Forest
SujitMadhabGhosh.html
MukundaDevBehera.html
SomnathParamanik.html
https___www.mdpi.com_2072-4292_12_9_1519 https://www.mdpi.com/2072-4292/12/9/1519
http___dx.doi.org_10.3390_rs12091519 http://dx.doi.org/10.3390/rs12091519
Ghosh:thesis Above Ground Biomass Estimation in Tropical Forests Using Multi-Sensor Data Synergy
SujitMadhabGhosh.html
http___www.idr.iitkgp.ac.in_xmlui_handle_123456789_9616 http://www.idr.iitkgp.ac.in/xmlui/handle/123456789/9616
GhotbiRavandi:2013:IJMST Application of numerical modeling and genetic programming to estimate rock mass modulus of deformation
EbrahimGhotbiRavandi.html
RezaRahmannejad.html
AmirEhsanFeiliMonfared.html
EsmaeilGhotbiRavandi.html
http___dx.doi.org_10.1016_j.ijmst.2013.08.018 http://dx.doi.org/10.1016/j.ijmst.2013.08.018
http___www.sciencedirect.com_science_article_pii_S209526861300147X http://www.sciencedirect.com/science/article/pii/S209526861300147X
Ghugare:2016:ICC Development of genetic programming based softsensor model for styrene polymerization process and its application in model based control
SuhasBGhugare.html
SanjeevSTambe.html
http___dx.doi.org_10.1109_INDIANCC.2016.7441134 http://dx.doi.org/10.1109/INDIANCC.2016.7441134
Ghugare:2016:JEI Genetic programming based high performing correlations for prediction of higher heating value of coals of different ranks and from diverse geographies
SuhasBGhugare.html
SanjeevSTambe.html
http___dx.doi.org_10.1016_j.joei.2016.03.002 http://dx.doi.org/10.1016/j.joei.2016.03.002
http___www.sciencedirect.com_science_article_pii_S1743967115304578 http://www.sciencedirect.com/science/article/pii/S1743967115304578
giacobini:2002:gecco How Statistics Can Help In Limiting The Number Of Fitness Cases In Genetic Programming
MarioGiacobini.html
MarcoTomassini.html
LeonardoVanneschi.html
http___gpbib.cs.ucl.ac.uk_gecco2002_GP073.ps http://gpbib.cs.ucl.ac.uk/gecco2002/GP073.ps
http___gpbib.cs.ucl.ac.uk_gecco2002_GP073.pdf http://gpbib.cs.ucl.ac.uk/gecco2002/GP073.pdf
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_gecco2002_gecco-2002-15.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/gecco2002/gecco-2002-15.pdf
giacobini:ppsn2002:pp371 Limiting the Number of Fitness Cases in Genetic Programming Using Statistics
MarioGiacobini.html
MarcoTomassini.html
LeonardoVanneschi.html
http___dx.doi.org_10.1007_3-540-45712-7_36 http://dx.doi.org/10.1007/3-540-45712-7_36
https___rdcu.be_cJz75 https://rdcu.be/cJz75
Giacobini:2014:evcoal Towards the Use of Genetic Programming for the Prediction of Survival in Cancer
MarioGiacobini.html
PaoloProvero.html
LeonardoVanneschi.html
GiancarloMauri.html
http___dx.doi.org_10.1007_978-3-642-37577-4_12 http://dx.doi.org/10.1007/978-3-642-37577-4_12
http___dx.doi.org_10.1007_978-3-642-37577-4_12 http://dx.doi.org/10.1007/978-3-642-37577-4_12
Giacobini:2024:GP EuroGP 2024: Proceedings of the 27th European Conference on Genetic Programming
MarioGiacobini.html
BingXue.html
LucaManzoni.html
https___www.evostar.org_2024_eurogp_ https://www.evostar.org/2024/eurogp/
http___dx.doi.org_10.1007_978-3-031-56957-9 http://dx.doi.org/10.1007/978-3-031-56957-9
Giacometto:2015:IECON Short-term load forecasting using Cartesian Genetic Programming: An efficient evolutive strategy: Case: Australian electricity market
FranciscoGiacometto.html
EnricSala.html
KonstantinosKampouropoulos.html
LuisRomeral.html
http___dx.doi.org_10.1109_IECON.2015.7392898 http://dx.doi.org/10.1109/IECON.2015.7392898
giani:1998:spccs A Study of Parallel Cooperative Classifier Systems
AntonellaGiani.html
gibbs:1996:eikGP Easy Inverse Kinematics using Genetic Programming
JonathanGibbs.html
http___cognet.mit.edu_sites_default_files_books_9780262315876_pdfs_9780262315876_chap61.pdf http://cognet.mit.edu/sites/default/files/books/9780262315876/pdfs/9780262315876_chap61.pdf
http___cognet.mit.edu_library_books_view_isbn_0262611279 http://cognet.mit.edu/library/books/view?isbn=0262611279
gibbs:1996:GP96review Programming with Primordial Ooze
WWaytGibbs.html
http___www.genetic-programming.com_published_scientificamerican1096.html http://www.genetic-programming.com/published/scientificamerican1096.html
gibbs:2001:sciam Cybernetic Cells
WWaytGibbs.html
http___www.scientificamerican.com_article_cybernetic-cells_ http://www.scientificamerican.com/article/cybernetic-cells/
gibbs:2002:IENBCGP Implementation and Evaluation of a Novel ``Branch'' Construct for Genetic Programming
KevinAGibbs.html
http___www.genetic-programming.org_sp2002_Gibbs.pdf http://www.genetic-programming.org/sp2002/Gibbs.pdf
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.141.205 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.141.205
Gibson:2014:HIC Genetic Programming For Cellular Automata Urban Inundation Modelling
MichaelJGibson.html
EdKeedwell.html
DraganSavic.html
http___www.hic2014.org_proceedings_bitstream_handle_123456789_1650_1723.pdf http://www.hic2014.org/proceedings/bitstream/handle/123456789/1650/1723.pdf
phd/ethos/Gibson15 Genetic programming and cellular automata for fast flood modelling on multi-core CPU and many-core GPU computers
MichaelJGibson.html
https___ore.exeter.ac.uk_repository_bitstream_handle_10871_20364_GibsonM.pdf https://ore.exeter.ac.uk/repository/bitstream/handle/10871/20364/GibsonM.pdf
http___hdl.handle.net_10871_20364 http://hdl.handle.net/10871/20364
http___ethos.bl.uk_OrderDetails.do_uin_uk.bl.ethos.681895 http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.681895
Gielen1994120 Genetic programming: J.R. Koza. The MIT Press, Cambridge, MA. ISBN 0-262-11170-5. 819 pp., \$ 74,25
CGielen.html
http___dx.doi.org_10.1016_0925-2312_94_90038-8 http://dx.doi.org/10.1016/0925-2312(94)90038-8
Gielen:2007:ECCTD Automated synthesis of complex analog circuits
GeorgesGEGielen.html
TomEeckelaert.html
EwoutMartens.html
TrentMcConaghy.html
http___dx.doi.org_10.1109_ECCTD.2007.4529526 http://dx.doi.org/10.1109/ECCTD.2007.4529526
DBLP:conf/pkdd/GijsbersVO17 Layered TPOT: Speeding up Tree-based Pipeline Optimization
PieterGijsbers.html
JoaquinVanschoren.html
RandalSOlson.html
http___ceur-ws.org_Vol-1998_paper_06.pdf http://ceur-ws.org/Vol-1998/paper_06.pdf
https___dblp.org_rec_conf_pkdd_GijsbersVO17.bib https://dblp.org/rec/conf/pkdd/GijsbersVO17.bib
DBLP:journals/corr/abs-1801-06007 Layered TPOT: Speeding up Tree-based Pipeline Optimization
PieterGijsbers.html
JoaquinVanschoren.html
RandalSOlson.html
http___arxiv.org_abs_1801.06007 http://arxiv.org/abs/1801.06007
https___dblp.org_rec_journals_corr_abs-1801-06007.bib https://dblp.org/rec/journals/corr/abs-1801-06007.bib
Gilani:2006:IJASET Distortion Estimation in Digital Image Watermarking using Genetic Programming
LabibaGilani.html
AsifullahKhan.html
AnwarMMirza.html
http___www.waset.org_ijaset_v15_v15-20.pdf http://www.waset.org/ijaset/v15/v15-20.pdf
Gilbert:2016:CEC Evolvable Warps for Data Normalization
JeremyGilbert.html
DanielAshlock.html
http___dx.doi.org_10.1109_CEC.2016.7743975 http://dx.doi.org/10.1109/CEC.2016.7743975
Gilbert:thesis Applications of Group Theory to Representation for Computational Intelligence
JeremyGilbert.html
https___hdl.handle.net_10214_26680 https://hdl.handle.net/10214/26680
https___atrium.lib.uoguelph.ca_xmlui_bitstream_handle_10214_26680_Gilbert_Jeremy_202201_PhD.pdf https://atrium.lib.uoguelph.ca/xmlui/bitstream/handle/10214/26680/Gilbert_Jeremy_202201_PhD.pdf
gilbert:1998:GPvshdd Genetic Programming-Based Variable Selection for High-Dimensional Data
RichardJGilbert.html
RoystonGoodacre.html
BeverleyShann.html
DouglasBKell.html
JanetTaylor.html
JemJRowland.html
http___dbkgroup.org_Papers_Gilbert_20et_20al_201998_20Genetic_20programming-based_20variable_20selection.pdf http://dbkgroup.org/Papers/Gilbert%20et%20al%201998%20Genetic%20programming-based%20variable%20selection.pdf
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_gp1998_gilbert_1998_GPvshdd.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/gp1998/gilbert_1998_GPvshdd.pdf
gilbert:1997: Genetic programming: A novel method for the quantitative analysis of pyrolysis mass spectral data
RichardJGilbert.html
RoystonGoodacre.html
AndrewMWoodward.html
DouglasBKell.html
http___pubs.acs.org_journals_ancham_article.cgi_ancham_1997_69_i21_pdf_ac970460j.pdf http://pubs.acs.org/journals/ancham/article.cgi/ancham/1997/69/i21/pdf/ac970460j.pdf
http___dx.doi.org_10.1021_ac970460j http://dx.doi.org/10.1021/ac970460j
gilbert:1999: Genetic Programming as an Analytical Tool for Metabolome Data
RichardJGilbert.html
HelenEJohnson.html
MichaelKWinson.html
JemJRowland.html
RoystonGoodacre.html
AileenRSmith.html
MichaelAHall.html
DouglasBKell.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_eebic_eurogp99_eurogp99_lbp.html http://www.cs.ucl.ac.uk/staff/W.Langdon/eebic/eurogp99/eurogp99_lbp.html
ftp___ftp.cwi.nl_pub_CWIreports_SEN_SEN-R9913.pdf ftp://ftp.cwi.nl/pub/CWIreports/SEN/SEN-R9913.pdf
ftp___ftp.cwi.nl_pub_CWIreports_SEN_SEN-R9913.ps.Z ftp://ftp.cwi.nl/pub/CWIreports/SEN/SEN-R9913.ps.Z
gilbert:p450 Classification of Cytochrome P450 3A4 Ligands Using Genetic Programming
RichardJGilbert.html
KrisBirchall.html
WilliamBains.html
EVL-2000-444 Evolving performance control systems for digital puppetry
AndrewGildfind.html
MichaelAGigante.html
GhassanAl-Qaimari.html
http___www3.interscience.wiley.com_cgi-bin_abstract_73502730_ABSTRACT http://www3.interscience.wiley.com/cgi-bin/abstract/73502730/ABSTRACT
http___visinfo.zib.de_EVlib_Show_EVL-2000-444 http://visinfo.zib.de/EVlib/Show?EVL-2000-444
http___dx.doi.org_10.1002_1099-1778_200009_11_4_3C169__AID-VIS217_3E3.0.CO_3B2-L http://dx.doi.org/10.1002/1099-1778(200009)11:4%3C169::AID-VIS217%3E3.0.CO%3B2-L
http___citeseer.ist.psu.edu_cache_papers_cs_21796_http_zSzzSzgoanna.cs.rmit.edu.auzSz_gildfindzSzthesiszSzpdfzSzjvca.pdf_gildfind00evolving.pdf http://citeseer.ist.psu.edu/cache/papers/cs/21796/http:zSzzSzgoanna.cs.rmit.edu.auzSz~gildfindzSzthesiszSzpdfzSzjvca.pdf/gildfind00evolving.pdf
http___citeseer.ist.psu.edu_438189.html http://citeseer.ist.psu.edu/438189.html
GILGALA:2019:ASC Evolving priority rules for on-line scheduling of jobs on a single machine with variable capacity over time
FranciscoJavierGilGala.html
CarlosMenciaCascallana.html
MariaRitaSierraSanchez.html
RamiroVarelaArias.html
https___digibuo.uniovi.es_dspace_bitstream_handle_10651_53756_ASOC-D-18-04073R2_Reducido-1.pdf https://digibuo.uniovi.es/dspace/bitstream/handle/10651/53756/ASOC-D-18-04073R2_Reducido-1.pdf
http___www.sciencedirect.com_science_article_pii_S1568494619305630 http://www.sciencedirect.com/science/article/pii/S1568494619305630
http___dx.doi.org_10.1016_j.asoc.2019.105782 http://dx.doi.org/10.1016/j.asoc.2019.105782
Gil-Gala:2021:GECCOcomp The Optimal Filtering set Problem with Application to Surrogate Evaluation in Genetic Programming
FranciscoJavierGilGala.html
MariaRitaSierraSanchez.html
CarlosMenciaCascallana.html
RamiroVarelaArias.html
http___dx.doi.org_10.1145_3449726.3459484 http://dx.doi.org/10.1145/3449726.3459484
GILGALA:2021:SEC Genetic programming with local search to evolve priority rules for scheduling jobs on a machine with time-varying capacity
FranciscoJavierGilGala.html
MariaRitaSierraSanchez.html
CarlosMenciaCascallana.html
RamiroVarelaArias.html
https___www.sciencedirect.com_science_article_pii_S2210650221001061 https://www.sciencedirect.com/science/article/pii/S2210650221001061
http___dx.doi.org_10.1016_j.swevo.2021.100944 http://dx.doi.org/10.1016/j.swevo.2021.100944
10.1007/978-3-031-06527-9_13 Building Heuristics and Ensembles for the Travel Salesman Problem
FranciscoJavierGilGala.html
MarkoDurasevic.html
MariaRitaSierraSanchez.html
RamiroVarelaArias.html
http___dx.doi.org_10.1007_978-3-031-06527-9_13 http://dx.doi.org/10.1007/978-3-031-06527-9_13
gala:2022:GECCOcomp Genetic programming for electric vehicle routing problem with soft time windows
FranciscoJavierGilGala.html
MarkoDurasevic.html
DomagojJakobovic.html
http___dx.doi.org_10.1145_3520304.3528994 http://dx.doi.org/10.1145/3520304.3528994
gil-gala:2023:GECCO Genetic Programming for the Vehicle Routing Problem with Zone-Based Pricing
FranciscoJavierGilGala.html
SezinAfsar.html
MarkoDurasevic.html
JuanJosePalacios.html
MuratAfsar.html
http___dx.doi.org_10.1145_3583131.3590366 http://dx.doi.org/10.1145/3583131.3590366
gil-gala:2023:GECCOcomp An Analysis of Training Models to Evolve Heuristics for the Travelling Salesman Problem
FranciscoJavierGilGala.html
MarkoDurasevic.html
MatejaDumic.html
RebekaCoric.html
DomagojJakobovic.html
http___dx.doi.org_10.1145_3583133.3590559 http://dx.doi.org/10.1145/3583133.3590559
Gillespie:1997:GAspspsd A Genetic Algorithm Solution to the Project Selection Problem Using Static and Dynamic Fitness Functions
JaysenGillespie.html
journals/ijaip/GilliesPAW12 Gene expression classification using binary rule majority voting genetic programming classifier
ChristopherEGillies.html
NileshVPatel.html
JanAkervall.html
GeorgeDWilson.html
http___dx.doi.org_10.1504_IJAIP.2012.052068 http://dx.doi.org/10.1504/IJAIP.2012.052068
1998APS..MAR.U2403G Addressed-Array Approach to DNA Computation Readout through UV Photopatterning
SusanDGillmor.html
QinghuaLiu.html
LimanWang.html
CEJordan.html
AnthonyGFrutos.html
AndrewJThiel.html
ToddStrother.html
AnneECondon.html
RobertMCorn.html
LloydMSmith.html
MaxGLagally.html
http___flux.aps.org_meetings_YR98_BAPSMAR98_abs_S4160003.html http://flux.aps.org/meetings/YR98/BAPSMAR98/abs/S4160003.html
http___adsabs.harvard.edu_cgi-bin_nph-bib_query_bibcode_1998APS..MAR.U2403G_db_key_PHY http://adsabs.harvard.edu/cgi-bin/nph-bib_query?bibcode=1998APS..MAR.U2403G&db_key=PHY
Giordani:thesis Relational clustering for knowledge discovery in life sciences
IlariaGiordani.html
http___boa.unimib.it_handle_10281_7830 http://boa.unimib.it/handle/10281/7830
http___hdl.handle.net_10281_7830 http://hdl.handle.net/10281/7830
http___boa.unimib.it_bitstream_10281_7830_1_phd_unimib_032791.pdf http://boa.unimib.it/bitstream/10281/7830/1/phd_unimib_032791.pdf
Giot:2010:ICPR Low Cost and Usable Multimodal Biometric System Based on Keystroke Dynamics and 2D Face Recognition
RomainGiot.html
BaptisteHemery.html
ChristopheRosenberger.html
http___dx.doi.org_10.1109_ICPR.2010.282 http://dx.doi.org/10.1109/ICPR.2010.282
Giot20121837 Genetic programming for multibiometrics
RomainGiot.html
ChristopheRosenberger.html
http___dx.doi.org_10.1016_j.eswa.2011.08.066 http://dx.doi.org/10.1016/j.eswa.2011.08.066
http___www.sciencedirect.com_science_article_pii_S095741741101178X http://www.sciencedirect.com/science/article/pii/S095741741101178X
giot:tel-00748915 Contribution to keystroke dynamics: mulitbiometrics, soft biometrics and template update
RomainGiot.html
https___www.greyc.fr_node_1676 https://www.greyc.fr/node/1676
https___www.greyc.fr_sites_default_files_secretariat_theses-soutenues-2012_These-Romain-Giot-2012.pdf https://www.greyc.fr/sites/default/files/secretariat/theses-soutenues-2012/These-Romain-Giot-2012.pdf
https___tel.archives-ouvertes.fr_tel-00748915 https://tel.archives-ouvertes.fr/tel-00748915
https___tel.archives-ouvertes.fr_tel-00748915_file_PhD_giot.pdf https://tel.archives-ouvertes.fr/tel-00748915/file/PhD_giot.pdf
WSEAS_644_Gir Applying Genetic Programming to obtain Separation Surfaces
RaulGiraldezRojo.html
RobertoRuizSanchez.html
Giraldi:2004:0403003 Genetic Algorithms and Quantum Computation
GilsonAGiraldi.html
RenatoPortugal.html
RicardoNThess.html
http___arxiv.org_PS_cache_cs_pdf_0403_0403003.pdf http://arxiv.org/PS_cache/cs/pdf/0403/0403003.pdf
http___arxiv.org_pdf_cs.NE_0403003 http://arxiv.org/pdf/cs.NE/0403003
Gircys:2019:Complexity Image Evolution Using 2D Power Spectra
MichaelGircys.html
BrianJRoss.html
https___www.hindawi.com_journals_complexity_2019_7293193_ https://www.hindawi.com/journals/complexity/2019/7293193/
http___downloads.hindawi.com_journals_complexity_2019_7293193.pdf http://downloads.hindawi.com/journals/complexity/2019/7293193.pdf
http___dx.doi.org_10.1155_2019_7293193 http://dx.doi.org/10.1155/2019/7293193
conf/synasc/GirdeaC07 A Hybrid Genetic Programming and Boosting Technique for Learning Kernel Functions from Training Data
MartaGirdea.html
LiviuCiortuz.html
http___dx.doi.org_10.1109_SYNASC.2007.71 http://dx.doi.org/10.1109/SYNASC.2007.71
conf/eurogp/GirginP08 Feature Discovery in Reinforcement Learning Using Genetic Programming
SertanGirgin.html
PhilippePreux.html
http___dx.doi.org_10.1007_978-3-540-78671-9_19 http://dx.doi.org/10.1007/978-3-540-78671-9_19
Giri:2013:MMP Genetic Programming Evolved through Bi-Objective Genetic Algorithms Applied to a Blast Furnace
BrijeshKumarGiri.html
FrankPettersson.html
HenrikSaxen.html
NirupamChakraborti.html
http___dx.doi.org_10.1080_10426914.2013.763953 http://dx.doi.org/10.1080/10426914.2013.763953
Giri:2013:ASC Genetic programming through bi-objective genetic algorithms with a study of a simulated moving bed process involving multiple objectives
BrijeshKumarGiri.html
JussiHakanen.html
KaisaMiettinen.html
NirupamChakraborti.html
http___www.sciencedirect.com_science_article_pii_S1568494612005091 http://www.sciencedirect.com/science/article/pii/S1568494612005091
http___dx.doi.org_10.1016_j.asoc.2012.11.025 http://dx.doi.org/10.1016/j.asoc.2012.11.025
Gite:2017:ieeeCC Surveying various genetic programming (GP) approaches to forecast real-time trends prices in the stock market
BalasahebGite.html
KhalidSayed.html
NavinMutha.html
SaurabhkumarMarpadge.html
KshitijPatil.html
http___dx.doi.org_10.1109_SAI.2017.8252093 http://dx.doi.org/10.1109/SAI.2017.8252093
Giustolisi:2004:WM Data Mining for Management and Rehabilitation of Water Systems: The Evolutionary Polynomial Regression Approach
OrazioGiustolisi.html
DraganSavic.html
DanieleBLaucelli.html
https___hdl.handle.net_20.500.11970_103889 https://hdl.handle.net/20.500.11970/103889
https___izw.baw.de_publikationen_dresdner-wasserbauliche-mitteilungen_0_2004_Wasserbauliche_Mitteilungen_Risiken_bei_der_Bemessung_und_Bewirtschaftung_von_Flie_c3_9fgew_c3_a4ssern_und_Stauanlagen.pdf https://izw.baw.de/publikationen/dresdner-wasserbauliche-mitteilungen/0/2004_Wasserbauliche_Mitteilungen_Risiken_bei_der_Bemessung_und_Bewirtschaftung_von_Flie%c3%9fgew%c3%a4ssern_und_Stauanlagen.pdf
Giustolisi:2004:JH Using genetic programming to determine Chezy resistance coefficient in corrugated channels
OrazioGiustolisi.html
http___jh.iwaponline.com_content_6_3_157 http://jh.iwaponline.com/content/6/3/157
http___www.iwaponline.com_jh_006_0157_0060157.pdf http://www.iwaponline.com/jh/006/0157/0060157.pdf
http___dx.doi.org_10.2166_hydro.2004.0013 http://dx.doi.org/10.2166/hydro.2004.0013
Giustolisi:2006:CEES Development of rehabilitation plans for water mains replacement considering risk and cost-benefit assessment
OrazioGiustolisi.html
DanieleBLaucelli.html
DraganSavic.html
http___dx.doi.org_10.1080_10286600600789375 http://dx.doi.org/10.1080/10286600600789375
Giustolisi:2006:JH A symbolic data-driven technique based on evolutionary polynomial regression
OrazioGiustolisi.html
DraganSavic.html
http___www.iwaponline.com_jh_008_0207_0080207.pdf http://www.iwaponline.com/jh/008/0207/0080207.pdf
http___dx.doi.org_10.2166_hydro.2006.020b http://dx.doi.org/10.2166/hydro.2006.020b
Giustolisi:2007:EMS A multi-model approach to analysis of environmental phenomena
OrazioGiustolisi.html
AngeloDoglioni.html
DraganSavic.html
BruceWebb.html
http___www.sciencedirect.com_science_article_pii_S1364815206000326 http://www.sciencedirect.com/science/article/pii/S1364815206000326
http___dx.doi.org_10.1016_j.envsoft.2005.12.026 http://dx.doi.org/10.1016/j.envsoft.2005.12.026
Giustolisi:2008:WRR An evolutionary multiobjective strategy for the effective management of groundwater resources
OrazioGiustolisi.html
AngeloDoglioni.html
DraganSavic.html
FrancescodiPierro.html
http___dx.doi.org_10.1029_2006WR005359 http://dx.doi.org/10.1029/2006WR005359
Giustolisi:2008:wama Determination of friction factor for corrugated drains
OrazioGiustolisi.html
AngeloDoglioni.html
DanieleBLaucelli.html
http___dx.doi.org_10.1680_wama.2008.161.1.31 http://dx.doi.org/10.1680/wama.2008.161.1.31
Giustolisi:2009:JH Advances in data-driven analyses and modelling using EPR-MOGA
OrazioGiustolisi.html
DraganSavic.html
http___www.iwaponline.com_jh_011_0225_0110225.pdf http://www.iwaponline.com/jh/011/0225/0110225.pdf
http___dx.doi.org_10.2166_hydro.2009.017 http://dx.doi.org/10.2166/hydro.2009.017
Giustolisi:2009:JWRPM Prioritizing Pipe Replacement: From Multiobjective Genetic Algorithms to Operational Decision Support
OrazioGiustolisi.html
LuigiBerardi.html
http___dx.doi.org_10.1061__ASCE_0733-9496_2009_135_6_484_ http://dx.doi.org/10.1061/(ASCE)0733-9496(2009)135:6(484)
Giustolisi:2011:JH Some explicit formulations of Colebrook-White friction factor considering accuracy vs. computational speed
OrazioGiustolisi.html
LuigiBerardi.html
ThomasMWalski.html
https___iwaponline.com_jh_article-pdf_13_3_401_386543_401.pdf https://iwaponline.com/jh/article-pdf/13/3/401/386543/401.pdf
http___dx.doi.org_10.2166_hydro.2010.098 http://dx.doi.org/10.2166/hydro.2010.098
Gladwin:2011:pimed A novel genetic programming approach to the design of engine control systems for the voltage stabilisation of hybrid electric vehicle generator outputs
DanielGladwin.html
PaulStewart.html
JillStewart.html
http___dx.doi.org_10.1177_0954407011407414 http://dx.doi.org/10.1177/0954407011407414
http___eprints.lincoln.ac.uk_4352_ http://eprints.lincoln.ac.uk/4352/
Gladwin:2011:ijsysc Internal combustion engine control for series hybrid electric vehicles by parallel and distributed genetic programming/multiobjective genetic algorithms
DanielGladwin.html
PaulStewart.html
JillStewart.html
http___dx.doi.org_10.1080_00207720903144479 http://dx.doi.org/10.1080/00207720903144479
http___eprints.lincoln.ac.uk_3986_ http://eprints.lincoln.ac.uk/3986/
http___results.ref.ac.uk_Submissions_Output_1636812 http://results.ref.ac.uk/Submissions/Output/1636812
Glaholt:mastersthesis GP-Lab: The Genetic Programming Laboratory
WilliamGlaholt.html
http___www.theglaholts.net_gplab_GPLab-ThesisDoc_20Final.pdf http://www.theglaholts.net/gplab/GPLab-ThesisDoc%20Final.pdf
Glaholt:2004:ICTAI GP-Lab: the Genetic Programming Laboratory
WilliamGlaholt.html
DuZhang.html
http___dx.doi.org_10.1109_ICTAI.2004.66 http://dx.doi.org/10.1109/ICTAI.2004.66
gleason:2000:TCDDGAGP Tuning and Creation of Discrete Differentiators using Genetic Algorithms and Genetic Programming
SeanGleason.html
gl-gr-08 Comparing Evolvable Hardware to Conventional Classifiers for Electromyographic Prosthetic Hand Control
KyrreHaraldGlette.html
ThiemoGruber.html
PaulKaufmann.html
JimTorresen.html
BernhardSick.html
MarcoPlatzner.html
http___dx.doi.org_10.1109_AHS.2008.12 http://dx.doi.org/10.1109/AHS.2008.12
gl-to-08 A Comparison of Evolvable Hardware Architectures for Classification Tasks
KyrreHaraldGlette.html
JimTorresen.html
PaulKaufmann.html
MarcoPlatzner.html
http___dx.doi.org_10.1007_978-3-540-85857-7_3 http://dx.doi.org/10.1007/978-3-540-85857-7_3
gl-ka-13a Investigating Evolvable Hardware Classification for the BioSleeve Electromyographic Interface
KyrreHaraldGlette.html
PaulKaufmann.html
ChristopherAssad.html
MichaelTWolf.html
http___dx.doi.org_10.1109_ICES.2013.6613285 http://dx.doi.org/10.1109/ICES.2013.6613285
gl-ka-14a Lookup Table Partial Reconfiguration for an Evolvable Hardware Classifier System
KyrreHaraldGlette.html
PaulKaufmann.html
http___dx.doi.org_10.1109_CEC.2014.6900503 http://dx.doi.org/10.1109/CEC.2014.6900503
gligorovski:2023:GECCOcomp LGP-VEC: A Vectorial Linear Genetic Programming for Symbolic Regression
NikolaGligorovski.html
JinghuiZhong.html
http___dx.doi.org_10.1145_3583133.3590695 http://dx.doi.org/10.1145/3583133.3590695
globus:1998:amduet Automatic molecular design using evolutionary techniques
AlGlobus.html
JohnLawton.html
ToddWipke.html
http___www.foresight.org_Conferences_MNT6_Papers_Globus_index.html http://www.foresight.org/Conferences/MNT6/Papers/Globus/index.html
http___www.nas.nasa.gov_News_Techreports_1999_PDF_nas-99-005.pdf http://www.nas.nasa.gov/News/Techreports/1999/PDF/nas-99-005.pdf
http___www.nas.nasa.gov_Research_Reports_Techreports_1999_nas-99-005.html http://www.nas.nasa.gov/Research/Reports/Techreports/1999/nas-99-005.html
globus:1999:Nano Automatic molecular design using evolutionary techniques
AlGlobus.html
JohnLawton.html
ToddWipke.html
http___ej.iop.org_links_20_wT4K9Gv4ZjM1zl3weq3M6Q_na9312.pdf http://ej.iop.org/links/20/wT4K9Gv4ZjM1zl3weq3M6Q/na9312.pdf
http___www.foresight.org_conference_MNT6_Papers_Globus_index.html http://www.foresight.org/conference/MNT6/Papers/Globus/index.html
http___alglobus.net_NASAwork_papers_Nanotechnology98_paper.html http://alglobus.net/NASAwork/papers/Nanotechnology98/paper.html
http___people.nas.nasa.gov__globus_home.html http://people.nas.nasa.gov/~globus/home.html
http___dx.doi.org_10.1088_0957-4484_10_3_312 http://dx.doi.org/10.1088/0957-4484/10/3/312
globus:2000:jgac JavaGenes and Condor: Cycle-Scavenging Genetic Algorithms
AlGlobus.html
EricLanghirt.html
MironLivny.html
RavishankarRamamurthy.html
MarvinSolomon.html
SteveTraugott.html
http___www.cs.wisc.edu_condor_doc_javagenes.pdf http://www.cs.wisc.edu/condor/doc/javagenes.pdf
http___people.nas.nasa.gov__globus_papers_JavaGrande2000_JavaGrandePaper.html http://people.nas.nasa.gov/~globus/papers/JavaGrande2000/JavaGrandePaper.html
globus:2001:GECCOtr Graph Crossover
AlGlobus.html
SeanAtsatt.html
JohnLawton.html
ToddWipke.html
http___alglobus.net_NASAwork_papers_JavaGenes2_JavaGenesPaper.html http://alglobus.net/NASAwork/papers/JavaGenes2/JavaGenesPaper.html
globus:2001:GECCO Graph Crossover
AlGlobus.html
JohnLawton.html
ToddWipke.html
http___people.nas.nasa.gov__globus_home.html http://people.nas.nasa.gov/~globus/home.html
http___gpbib.cs.ucl.ac.uk_gecco2001_d04.pdf http://gpbib.cs.ucl.ac.uk/gecco2001/d04.pdf
Glover:2017:WSC Using a genetic programming approach to mission planning to deliver more agile campaign level modelling for military operational research
PaulGlover.html
SimonCollander-Brown.html
SimonJETaylor.html
http___dx.doi.org_10.1109_WSC.2017.8248165 http://dx.doi.org/10.1109/WSC.2017.8248165
glucina:2023:Electronics Drive System Inverter Modeling Using Symbolic Regression
MatkoGlucina.html
NikolaAndelic.html
IvanLorencin.html
SandiBaressiSegota.html
https___www.mdpi.com_2079-9292_12_3_638 https://www.mdpi.com/2079-9292/12/3/638
http___dx.doi.org_10.3390_electronics12030638 http://dx.doi.org/10.3390/electronics12030638
Go:2022:HNICEM Ubiquitous Limited Sensor-based Weather Binary Prediction Network Using Linear and Nonlinear Fittings and 14-gene Genetic Expression
TyroneAshleyGo.html
JoseAntonioCadavillo.html
JoyceYuenlamCai.html
DmitriChuacuco.html
JonahJaharaGarciaBaun.html
ArgelABandala.html
RonnieSConcepcionII.html
http___dx.doi.org_10.1109_HNICEM57413.2022.10109402 http://dx.doi.org/10.1109/HNICEM57413.2022.10109402
Gobet:2005:SJP Evolving structure-function mappings in cognitive neuroscience using genetic programming
FernandGobet.html
AmandaParker.html
http___dx.doi.org_10.1024_1421-0185.64.4.231 http://dx.doi.org/10.1024/1421-0185.64.4.231
Gocic:2015:CEA Soft computing approaches for forecasting reference evapotranspiration
MilanGocic.html
ShervinMotamedi.html
ShahaboddinShamshirband.html
DaliborPetkovic.html
SudheerCh.html
RoslanHashim.html
MuhammadArifSyedHamid.html
http___dx.doi.org_10.1016_j.compag.2015.02.010 http://dx.doi.org/10.1016/j.compag.2015.02.010
http___www.sciencedirect.com_science_article_pii_S0168169915000526 http://www.sciencedirect.com/science/article/pii/S0168169915000526
Godoi2013JCDL A Relevance Feedback Approach for the Author Name Disambiguation Problem
ThiagoAnzolindeGodoi.html
RicardodaSilvaTorres.html
AriadneMariaBritoRizzoniCarvalho.html
MarcosAndreGoncalves.html
AndersonAFerreira.html
WeiguoFan.html
EdwardAFox.html
http___doi.acm.org_10.1145_2467696.2467709 http://doi.acm.org/10.1145/2467696.2467709
http___dx.doi.org_10.1145_2467696.2467709 http://dx.doi.org/10.1145/2467696.2467709
GOEBEL:2018:ESCAPE Towards predictive models for organic solvent nanofiltration
RebeccaGoebel.html
TobiasGlaser.html
IlkaNiederkleine.html
MirkoSkiborowski.html
http___dx.doi.org_10.1016_B978-0-444-64235-6.50022-X http://dx.doi.org/10.1016/B978-0-444-64235-6.50022-X
http___www.sciencedirect.com_science_article_pii_B978044464235650022X http://www.sciencedirect.com/science/article/pii/B978044464235650022X
GOEBEL:2020:SPT Machine-based learning of predictive models in organic solvent nanofiltration: Pure and mixed solvent flux
RebeccaGoebel.html
MirkoSkiborowski.html
http___dx.doi.org_10.1016_j.seppur.2019.116363 http://dx.doi.org/10.1016/j.seppur.2019.116363
http___www.sciencedirect.com_science_article_pii_S1383586619336421 http://www.sciencedirect.com/science/article/pii/S1383586619336421
Goebel:thesis Towards reliable characterization and model-based evaluation of organic solvent nanofiltration
RebeccaGoebel.html
https___fvt.bci.tu-dortmund.de_details_doctoral-examination-of-rebecca-goebel-9923_ https://fvt.bci.tu-dortmund.de/details/doctoral-examination-of-rebecca-goebel-9923/
https___eldorado.tu-dortmund.de_handle_2003_40733 https://eldorado.tu-dortmund.de/handle/2003/40733
http___hdl.handle.net_2003_40733 http://hdl.handle.net/2003/40733
https___eldorado.tu-dortmund.de_bitstream_2003_40733_1_211122_Dissertation_20Goebel_Finale_20Version.pdf https://eldorado.tu-dortmund.de/bitstream/2003/40733/1/211122_Dissertation%20Goebel_Finale%20Version.pdf
http___dx.doi.org_10.17877_DE290R-22591 http://dx.doi.org/10.17877/DE290R-22591
Goel:2015:JCA Genetic programming based quantitative structure-retention relationships for the prediction of Kovats retention indices
PurvaGoel.html
SanketBapat.html
RenuVyas.html
AmrutaTambe.html
SanjeevSTambe.html
http___dx.doi.org_10.1016_j.chroma.2015.09.086 http://dx.doi.org/10.1016/j.chroma.2015.09.086
http___www.sciencedirect.com_science_article_pii_S0021967315014193 http://www.sciencedirect.com/science/article/pii/S0021967315014193
Goertzel:2006:CEC Identifying Complex Biological Interactions based on Categorical Gene Expression Data
BenGoertzel.html
CassioPennachin.html
LuciodeSouzaCoelho.html
MauricioMudado.html
http___www.biomind.com_docs_WCCI_EC_feb06_06_fixed_v2.pdf http://www.biomind.com/docs/WCCI_EC_feb06_06_fixed_v2.pdf
http___dx.doi.org_10.1109_CEC.2006.1688477 http://dx.doi.org/10.1109/CEC.2006.1688477
Goertzel:2006:P Allostatic load is associated with symptoms in chronic fatigue syndrome patients
BenGoertzel.html
CassioPennachin.html
LuciodeSouzaCoelho.html
ElizabethMMaloney.html
JamesFJones.html
BrianGurbaxani.html
http___dx.doi.org_10.2217_14622416.7.3.485 http://dx.doi.org/10.2217/14622416.7.3.485
http___www.futuremedicine.com_doi_abs_10.2217_14622416.7.3.485 http://www.futuremedicine.com/doi/abs/10.2217/14622416.7.3.485
Gogineni:2014:ICETETS A New method to Design Accurate Images with Tree Structural Transformations
NeelimaGogineni.html
CGangaBhavani.html
VSGiridharAkula.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.461.2968 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.461.2968
http___www.warse.org_IJATCSE_archives_archivesDetiles__heading_Special_20Issue_20Of_20ICETETS_202014 http://www.warse.org/IJATCSE/archives/archivesDetiles/?heading=Special%20Issue%20Of%20ICETETS%202014
http___warse.org_pdfs_2014_icetetssp82.pdf http://warse.org/pdfs/2014/icetetssp82.pdf
Goh:2000:GECCO Evolving Molecules for Drug Design Using Genetic Algorithms via Molecular Trees
GerardKian-MengGoh.html
JamesAFoster.html
http___gpbib.cs.ucl.ac.uk_gecco2000_GA141.pdf http://gpbib.cs.ucl.ac.uk/gecco2000/GA141.pdf
goh:2001:gadsacpc GA Automated Design and Synthesis of Analog Circuits with Practical Constrains
CindySFGoh.html
YunLi.html
http___dx.doi.org_10.1109_CEC.2001.934386 http://dx.doi.org/10.1109/CEC.2001.934386
Goharoodi:2023:CoDIT Hybrid Modeling of an Adhesive Bonding Process, Case Study: Polyphenylene Sulfide
SaeidehKhatiryGoharoodi.html
JeroenJordens.html
BartVanDoninck.html
GuillaumeCrevecoeur.html
http___dx.doi.org_10.1109_CoDIT58514.2023.10284411 http://dx.doi.org/10.1109/CoDIT58514.2023.10284411
Goings:2014:GECCOcomp The effect of communication on the evolution of cooperative behavior in a multi-agent system
SherriGoings.html
EmilyPMJohnston.html
NaozumiHiranuma.html
http___doi.acm.org_10.1145_2598394.2605443 http://doi.acm.org/10.1145/2598394.2605443
http___dx.doi.org_10.1145_2598394.2605443 http://dx.doi.org/10.1145/2598394.2605443
golafshani:2015:MaS Artificial neural network and genetic programming for predicting the bond strength of GFRP bars in concrete
EmadaldinMohammadiGolafshani.html
ARahai.html
MHSebt.html
http___link.springer.com_article_10.1617_s11527-014-0256-0 http://link.springer.com/article/10.1617/s11527-014-0256-0
http___dx.doi.org_10.1617_s11527-014-0256-0 http://dx.doi.org/10.1617/s11527-014-0256-0
GOLAFSHANI:2018:ASCa Predicting the climbing rate of slip formwork systems using linear biogeography-based programming
EmadaldinMohammadiGolafshani.html
SiamakTalatahari.html
http___dx.doi.org_10.1016_j.asoc.2018.05.036 http://dx.doi.org/10.1016/j.asoc.2018.05.036
http___www.sciencedirect.com_science_article_pii_S1568494618303119 http://www.sciencedirect.com/science/article/pii/S1568494618303119
GOLAFSHANI:2018:ASC Automatic regression methods for formulation of elastic modulus of recycled aggregate concrete
EmadaldinMohammadiGolafshani.html
AliBehnood.html
http___dx.doi.org_10.1016_j.asoc.2017.12.030 http://dx.doi.org/10.1016/j.asoc.2017.12.030
http___www.sciencedirect.com_science_article_pii_S156849461730755X http://www.sciencedirect.com/science/article/pii/S156849461730755X
Golap:2019:ICAEE Non-Invasive Hemoglobin Concentration Measurement Using MGGP-Based Model
MdAsaf-uddowlaGolap.html
MMAHashem.html
http___dx.doi.org_10.1109_ICAEE48663.2019.8975672 http://dx.doi.org/10.1109/ICAEE48663.2019.8975672
GOLAP:2021:BSPC Hemoglobin and glucose level estimation from PPG characteristics features of fingertip video using MGGP-based model
MdAsaf-uddowlaGolap.html
SMTaslimUddinRaju.html
MdRezwanulHaque.html
MMAHashem.html
http___dx.doi.org_10.1016_j.bspc.2021.102478 http://dx.doi.org/10.1016/j.bspc.2021.102478
https___www.sciencedirect.com_science_article_pii_S1746809421000756 https://www.sciencedirect.com/science/article/pii/S1746809421000756
Gold:GPEM Virginia Dignum: Responsible Artificial Intelligence: How to Develop and Use AI in a Responsible Way
NicolasEGold.html
http___dx.doi.org_10.1007_s10710-020-09394-1 http://dx.doi.org/10.1007/s10710-020-09394-1
gold:2022:Student GUI-Based, Efficient Genetic Programming For Unity3D
RobertGold.html
AndrewHaydnGrant.html
ErikHemberg.html
ChathikaSGunaratne.html
Una-MayO'Reilly.html
https___dspace.mit.edu_bitstream_handle_1721.1_146338_3520304.3534022.pdf https://dspace.mit.edu/bitstream/handle/1721.1/146338/3520304.3534022.pdf
http___dx.doi.org_10.1145_3520304.3534022 http://dx.doi.org/10.1145/3520304.3534022
gold:2022:GPTP GUI-Based, Efficient Genetic Programming and AI Planning for Unity3D
RobertGold.html
AndrewHaydnGrant.html
ErikHemberg.html
ChathikaSGunaratne.html
Una-MayO'Reilly.html
http___link.springer.com_chapter_10.1007_978-981-19-8460-0_3 http://link.springer.com/chapter/10.1007/978-981-19-8460-0_3
http___dx.doi.org_10.1007_978-981-19-8460-0_3 http://dx.doi.org/10.1007/978-981-19-8460-0_3
Gold:2023:evoapplications Genetic Programming and Coevolution to Play the Bomberman Video Game
RobertGold.html
HenriqueBranquinho.html
ErikHemberg.html
Una-MayO'Reilly.html
PabloGarcia-Sanchez.html
http___dx.doi.org_10.1007_978-3-031-30229-9_49 http://dx.doi.org/10.1007/978-3-031-30229-9_49
goldberg:1998:good Where does the Good Stuff Go, and Why? How contextual semantics influence program structure in simple genetic programming
DavidEGoldberg.html
Una-MayO'Reilly.html
http___citeseer.ist.psu.edu_96596.html http://citeseer.ist.psu.edu/96596.html
http___dx.doi.org_10.1007_BFb0055925 http://dx.doi.org/10.1007/BFb0055925
goldfish:1996:nwfmGP Noisy Wall Following and Maze Navigation through Genetic Programming
AndrewGoldfish.html
http___cognet.mit.edu_sites_default_files_books_9780262315876_pdfs_9780262315876_chap62.pdf http://cognet.mit.edu/sites/default/files/books/9780262315876/pdfs/9780262315876_chap62.pdf
http___cognet.mit.edu_library_books_view_isbn_0262611279 http://cognet.mit.edu/library/books/view?isbn=0262611279
Goldman:2011:GECCOcomp Self-configuring crossover
BrianWGoldman.html
DanielRTauritz.html
http___dx.doi.org_10.1145_2001858.2002051 http://dx.doi.org/10.1145/2001858.2002051
goldman:2013:EuroGP Reducing Wasted Evaluations in Cartesian Genetic Programming
BrianWGoldman.html
WilliamFPunch.html
http___dx.doi.org_10.1007_978-3-642-37207-0_6 http://dx.doi.org/10.1007/978-3-642-37207-0_6
Goldman:2013:GECCO Length bias and search limitations in cartesian genetic programming
BrianWGoldman.html
WilliamFPunch.html
http___dx.doi.org_10.1145_2463372.2463482 http://dx.doi.org/10.1145/2463372.2463482
Goldman:2014:ieeeTEC Analysis of Cartesian Genetic Programming's Evolutionary Mechanisms
BrianWGoldman.html
WilliamFPunch.html
http___dx.doi.org_10.1109_TEVC.2014.2324539 http://dx.doi.org/10.1109/TEVC.2014.2324539
Goldstein:2013:CSR Prediction of wave ripple characteristics using genetic programming
EvanBGoldstein.html
GiovanniCoco.html
ABradMurray.html
http___dx.doi.org_10.1016_j.csr.2013.09.020 http://dx.doi.org/10.1016/j.csr.2013.09.020
http___www.sciencedirect.com_science_article_pii_S0278434313003166 http://www.sciencedirect.com/science/article/pii/S0278434313003166
Golonek:2006:ISCAS Application of genetic programming to edge detector design
TomaszGolonek.html
DGrzechca.html
JerzyRutkowski.html
http___dx.doi.org_10.1109_ISCAS.2006.1693675 http://dx.doi.org/10.1109/ISCAS.2006.1693675
Golonek_2003_ECCTD Application of Genetic Programming to Analog Fault Decoder Design
TomaszGolonek.html
JerzyRutkowski.html
http___platforma.polsl.pl_rau3_mod_resource_view.php_id_1324 http://platforma.polsl.pl/rau3/mod/resource/view.php?id=1324
http___platforma.polsl.pl_rau3_mod_resource_Appl.of_GP_to_AFD-ECCTD03.pdf http://platforma.polsl.pl/rau3/mod/resource/Appl.of_GP_to_AFD-ECCTD03.pdf
Golshan:2010:ISSPA An intelligent watermarking algorithm based on Genetic Programming
FarzadGolshanPour.html
KarimMohamadi.html
http___dx.doi.org_10.1109_ISSPA.2010.5605497 http://dx.doi.org/10.1109/ISSPA.2010.5605497
Golshan:2011:ICSEng A Hybrid Intelligent SVD-Based Digital Image Watermarking
FarzadGolshanPour.html
KarimMohamadi.html
http___dx.doi.org_10.1109_ICSEng.2011.32 http://dx.doi.org/10.1109/ICSEng.2011.32
golubski:1999:eNNsmGP Evolving Neural Network Structures by Means of Genetic Programming
WolfgangGolubski.html
ThomasFeuring.html
http___dx.doi.org_10.1007_3-540-48885-5_18 http://dx.doi.org/10.1007/3-540-48885-5_18
golubski:2002:EuroGP New Results on Fuzzy Regression by Using Genetic Programming
WolfgangGolubski.html
http___dx.doi.org_10.1007_3-540-45984-7_30 http://dx.doi.org/10.1007/3-540-45984-7_30
WSEAS_179_Golubski Distributed Genetic Programming for Regression Analysis
WolfgangGolubski.html
WSEAS_177_Golubski Regression Analysis on Uncertain Data
WolfgangGolubski.html
Golubski:2002:GPP Genetic Programming: A Parallel Approach
WolfgangGolubski.html
http___dx.doi.org_10.1007_3-540-46019-5_13 http://dx.doi.org/10.1007/3-540-46019-5_13
GOMES:2019:KS Multiple response optimization: Analysis of genetic programming for symbolic regression and assessment of desirability functions
FabricioMacielGomes.html
FelixMonteiroPereira.html
AneirsonFSilva.html
MessiasBorgesSilva.html
http___dx.doi.org_10.1016_j.knosys.2019.05.002 http://dx.doi.org/10.1016/j.knosys.2019.05.002
http___www.sciencedirect.com_science_article_pii_S0950705119302096 http://www.sciencedirect.com/science/article/pii/S0950705119302096
Gomes:2018:CEC Comparing Approaches for Evolving High-Level Robot Control Based on Behaviour Repertoires
JorgeGomes.html
AndersLyhneChristensen.html
http___dx.doi.org_10.1109_CEC.2018.8477699 http://dx.doi.org/10.1109/CEC.2018.8477699
Gomes:2023:SIU A Multi-Agent System Empowered by Federated Learning and Genetic Programming
LuisGomes.html
BrunoRibeiro.html
FernandoLezama.html
ZitaVale.html
http___dx.doi.org_10.1109_SIU59756.2023.10223778 http://dx.doi.org/10.1109/SIU59756.2023.10223778
Gomez:2011:MED Automatic design of nonlinear controllers by means of coevolutive algorithms application to an inverted pendulum
FranciscoManuelFernandezGomez.html
FranciscoJavierMurosPonce.html
http___dx.doi.org_10.1109_MED.2011.5982996 http://dx.doi.org/10.1109/MED.2011.5982996
Gomez-Castro:2011:ESCAPE Optimal designs of multiple dividing wall columns
FernandoIGomez-Castro.html
MarioARodriguez-Angeles.html
JuanGSegovia-Hernandez.html
ClaudiaGutierrez-Antonio.html
AbelBriones-Ramirez.html
http___store.elsevier.com_21st-European-Symposium-on-Computer-Aided-Process-Engineering_isbn-9780444538956_ http://store.elsevier.com/21st-European-Symposium-on-Computer-Aided-Process-Engineering/isbn-9780444538956/
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.696.9870 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.696.9870
http___www.segovia-hernandez.com_publicaciones_Escape-21_20_28fernando_29.pdf http://www.segovia-hernandez.com/publicaciones/Escape-21%20%28fernando%29.pdf
GomezCastro2011176 Optimal design of multiple dividing wall columns based on genetic programming
FernandoIGomez-Castro.html
MarioARodriguez-Angeles.html
JuanGSegovia-Hernandez.html
ClaudiaGutierrez-Antonio.html
AbelBriones-Ramirez.html
http___dx.doi.org_10.1016_B978-0-444-53711-9.50036-5 http://dx.doi.org/10.1016/B978-0-444-53711-9.50036-5
http___www.sciencedirect.com_science_article_pii_B9780444537119500365 http://www.sciencedirect.com/science/article/pii/B9780444537119500365
gomi:2003:GPEM Book Review: Evolutionary Robotics: the Biology, Intelligence, and Technology of Self-Organizing Machines
TakashiGomi.html
http___dx.doi.org_10.1023_A_1021829228076 http://dx.doi.org/10.1023/A:1021829228076
Goncalves:2010:JIDM Automatic Selection of Training Examples for a Record Deduplication Method Based on Genetic Programming
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MoisesGdeCarvalho.html
AlbertoHFLaender.html
MarcosAndreGoncalves.html
http___seer.lcc.ufmg.br_index.php_jidm_article_view_59 http://seer.lcc.ufmg.br/index.php/jidm/article/view/59
goncalves2011experiments Experiments on Controlling Overfitting in Genetic Programming
IvoGoncalves.html
SaraSilva.html
https___old.cisuc.uc.pt_publication_show_2653 https://old.cisuc.uc.pt/publication/show/2653
https___www.cisuc.uc.pt_publication_showfile_fn_1512948575_Experiments_on_Controlling_Overfitting_in_Genetic_Programming.pdf https://www.cisuc.uc.pt/publication/showfile?fn=1512948575_Experiments_on_Controlling_Overfitting_in_Genetic_Programming.pdf
goncalves:2012:EuroGP Random Sampling Technique for Overfitting Control in Genetic Programming
IvoGoncalves.html
SaraSilva.html
JoanaBMelo.html
JoaoMBCarreiras.html
http___dx.doi.org_10.1007_978-3-642-29139-5_19 http://dx.doi.org/10.1007/978-3-642-29139-5_19
goncalves:2013:EuroGP Balancing Learning and Overfitting in Genetic Programming with Interleaved Sampling of Training data
IvoGoncalves.html
SaraSilva.html
http___dx.doi.org_10.1007_978-3-642-37207-0_7 http://dx.doi.org/10.1007/978-3-642-37207-0_7
Goncalves:2015:EuroGP On the Generalization Ability of Geometric Semantic Genetic Programming
IvoGoncalves.html
SaraSilva.html
CarlosMFonseca.html
http___dx.doi.org_10.1007_978-3-319-16501-1_4 http://dx.doi.org/10.1007/978-3-319-16501-1_4
conf/epia/GoncalvesSF15 Semantic Learning Machine: A Feedforward Neural Network Construction Algorithm Inspired by Geometric Semantic Genetic Programming
IvoGoncalves.html
SaraSilva.html
CarlosMFonseca.html
http___dx.doi.org_10.1007_978-3-319-23485-4 http://dx.doi.org/10.1007/978-3-319-23485-4
http___dx.doi.org_10.1007_978-3-319-23485-4_28 http://dx.doi.org/10.1007/978-3-319-23485-4_28
Goncalves:2016:GECCOcomp Arbitrarily Close Alignments in the Error Space: a Geometric Semantic Genetic Programming Approach
IvoGoncalves.html
SaraSilva.html
CarlosMFonseca.html
MauroCastelli.html
http___dx.doi.org_10.1145_2908961.2908988 http://dx.doi.org/10.1145/2908961.2908988
goncalvesPhdThesis An Exploration of Generalization and Overfitting in Genetic Programming: Standard and Geometric Semantic Approaches
IvoGoncalves.html
https___hdl.handle.net_10316_32725 https://hdl.handle.net/10316/32725
https___estudogeral.sib.uc.pt_jspui_bitstream_10316_32725_3_An_Exploration_of_Generalization_and_Overfitting_in_Genetic_Programming.pdf https://estudogeral.sib.uc.pt/jspui/bitstream/10316/32725/3/An_Exploration_of_Generalization_and_Overfitting_in_Genetic_Programming.pdf
Goncalves:2017:GECCO Unsure when to Stop?: Ask Your Semantic Neighbors
IvoGoncalves.html
SaraSilva.html
CarlosMFonseca.html
MauroCastelli.html
http___doi.acm.org_10.1145_3071178.3071328 http://doi.acm.org/10.1145/3071178.3071328
http___dx.doi.org_10.1145_3071178.3071328 http://dx.doi.org/10.1145/3071178.3071328
Goncalves:2019:GPTP Explorations of the Semantic Learning Machine Neuroevolution Algorithm: Dynamic Training Data Use, Ensemble Construction Methods, and Deep Learning Perspectives
IvoGoncalves.html
MartaSeca.html
MauroCastelli.html
http___dx.doi.org_10.1007_978-3-030-39958-0_3 http://dx.doi.org/10.1007/978-3-030-39958-0_3
Goncalves-Moreira:2019:CEC Evolving task priority rules for heterogeneous assembly line balancing
JoaoPedroGoncalvesMoreira.html
MarcusRitt.html
http___dx.doi.org_10.1109_CEC.2019.8790332 http://dx.doi.org/10.1109/CEC.2019.8790332
Goncalves-Moreira:2021:EuroGP Evolving Allocation Rules for Beam Search Heuristics in Assembly Line Balancing
JoaoPedroGoncalvesMoreira.html
MarcusRitt.html
http___dx.doi.org_10.1007_978-3-030-72812-0_14 http://dx.doi.org/10.1007/978-3-030-72812-0_14
Goncharenko:2020:ACIT Genetic Algorithm for Solution of the Problem of Optimal Location of the Distributed Electrical Networks
DmytroGoncharenko.html
AndriiOliinyk.html
IevgenFedorchenko.html
SerhiiKorniienko_.html
AlexanderStepanenko.html
AnastasiaKharchenko.html
YuliiaFedorchenko.html
http___dx.doi.org_10.1109_ACIT49673.2020.9208888 http://dx.doi.org/10.1109/ACIT49673.2020.9208888
GONG:2021:OE Prediction of solitary wave attenuation by emergent vegetation using genetic programming and artificial neural networks
ShangpengGong.html
JieChen.html
ChangboJiang.html
SudongXu.html
FeiHe.html
ZhiyuanWu.html
http___dx.doi.org_10.1016_j.oceaneng.2021.109250 http://dx.doi.org/10.1016/j.oceaneng.2021.109250
https___www.sciencedirect.com_science_article_pii_S0029801821006764 https://www.sciencedirect.com/science/article/pii/S0029801821006764
Gong:2015:ASC Distributed evolutionary algorithms and their models: A survey of the state-of-the-art
Yue-JiaoGong.html
Wei-NengChen.html
Zhi-HuiZhan.html
JunZhang.html
YunLi.html
QingfuZhang.html
Jing-JingLi.html
http___repository.essex.ac.uk_13796_1_1-s2.0-S1568494615002987-main.pdf http://repository.essex.ac.uk/13796/1/1-s2.0-S1568494615002987-main.pdf
https___www.sciencedirect.com_science_article_pii_S1568494615002987 https://www.sciencedirect.com/science/article/pii/S1568494615002987
http___dx.doi.org_10.1016_j.asoc.2015.04.061 http://dx.doi.org/10.1016/j.asoc.2015.04.061
Gonzales:2007:cec Class Association Rule Mining for Large and Dense Databases with Parallel Processing of Genetic Network Programming
EloyGonzales.html
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KaoruShimada.html
ShingoMabu.html
KotaroHirasawa.html
JingluHu.html
http___dx.doi.org_10.1109_CEC.2007.4425077 http://dx.doi.org/10.1109/CEC.2007.4425077
Gonzales:2010:gecco Pruning association rules using statistics and genetic relation algoritm
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ShingoMabu.html
KarlaTaboada.html
KotaroHirasawa.html
KaoruShimada.html
http___dx.doi.org_10.1145_1830483.1830562 http://dx.doi.org/10.1145/1830483.1830562
DBLP:conf/pdp/GonzalezV07 On the Intrinsic Fault-Tolerance Nature of Parallel Genetic Programming
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http___dx.doi.org_10.1109_PDP.2007.56 http://dx.doi.org/10.1109/PDP.2007.56
1277302 Dynamic populations and length evolution: key factors for analyzing fault tolerance on parallel genetic programming
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FranciscoFernandezdeVega.html
http___gpbib.cs.ucl.ac.uk_gecco2007_docs_p1752.pdf http://gpbib.cs.ucl.ac.uk/gecco2007/docs/p1752.pdf
http___dx.doi.org_10.1145_1276958.1277302 http://dx.doi.org/10.1145/1276958.1277302
Gonzalez:2007:cec Analyzing Fault Tolerance on Parallel Genetic Programming by Means of Dynamic-Size Populations
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FranciscoFernandezdeVega.html
http___dx.doi.org_10.1109_CEC.2007.4425045 http://dx.doi.org/10.1109/CEC.2007.4425045
Gonzalez:2008:ibergrid Interpreted Applications within BOINC Infrastructure
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LeonardoTrujillo.html
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LourdesAraujo.html
PedroACastilloValdivieso.html
KennethCSharman.html
ArlindoFerreiradaSilva.html
http___nlp.uned.es__lurdes_araujo_ibergrid08.pdf http://nlp.uned.es/~lurdes/araujo/ibergrid08.pdf
Gonzalez:2009:PDP Increasing GP Computing Power for Free via Desktop GRID Computing and Virtualization
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LeonardoTrujillo.html
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JuanJulianMerelo.html
KennethCSharman.html
http___dx.doi.org_10.1109_PDP.2009.25 http://dx.doi.org/10.1109/PDP.2009.25
Gonzalez:2009:BADS Characterizing fault tolerance in genetic programming
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http___dx.doi.org_10.1145_1555284.1555286 http://dx.doi.org/10.1145/1555284.1555286
LombranaGonzalez:thesis Programacion genetica tolerante a fallos: despliegue de programacion genetica sobre computacion grid de sobremesa
DanielLombranaGonzalezRodriguez.html
https___www.educacion.es_teseo_imprimirFicheroTesis.do_fichero_16774 https://www.educacion.es/teseo/imprimirFicheroTesis.do?fichero=16774
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Gonzalez:2010:FGCS Characterizing fault tolerance in genetic programming
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FranciscoFernandezdeVega.html
HenriCasanova.html
http___www.sciencedirect.com_science_article_B6V06-4YDT3S4-2_2_0a9075d8d9c6905e388ad608f0c81e79 http://www.sciencedirect.com/science/article/B6V06-4YDT3S4-2/2/0a9075d8d9c6905e388ad608f0c81e79
http___dx.doi.org_10.1016_j.future.2010.02.006 http://dx.doi.org/10.1016/j.future.2010.02.006
DBLP:conf/gecco/GonzalezH09 Elitism, fitness, and growth
GerardoGonzalez.html
DeanFHougen.html
http___dx.doi.org_10.1145_1569901.1570199 http://dx.doi.org/10.1145/1569901.1570199
Gonzalez:2020:CEC Improved Training Speed, Accuracy, and Data Utilization Through Loss Function Optimization
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RistoMiikkulainen.html
http___dx.doi.org_10.1109_CEC48606.2020.9185777 http://dx.doi.org/10.1109/CEC48606.2020.9185777
Gonzalez:2021:GECCO Optimizing Loss Functions Through Multi-Variate Taylor Polynomial Parameterization
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RistoMiikkulainen.html
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http___dx.doi.org_10.1145_3449639.3459277 http://dx.doi.org/10.1145/3449639.3459277
Gonzalez-Campos:2014:MICAI Modeling Synthesis Processes of Photocatalysts Using Symbolic Regression alpha-beta
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EdithLuevano-Hipolito.html
AzaelMartinezdelaCruz.html
http___dx.doi.org_10.1109_MICAI.2014.33 http://dx.doi.org/10.1109/MICAI.2014.33
GonzalezMunoz:2005:RVK Evolution of filter order equations for linear-phase FIR filters using gene expression programming
DavidGonzalezMunoz.html
OscarGustafsson.html
LarsWanhammar.html
http___www.es.isy.liu.se_publications_papers_and_reports_2005_RVK05_oscarg_FIRorder.pdf http://www.es.isy.liu.se/publications/papers_and_reports/2005/RVK05_oscarg_FIRorder.pdf
GonzalezPadilla:2010:CERMA Genetic Programming for Task Selection in Dialogue Systems
OmarAlfredoGonzalezPadilla.html
FelixFranciscoRamosCorchado.html
Jean-PaulBartes.html
http___dx.doi.org_10.1109_CERMA.2010.30 http://dx.doi.org/10.1109/CERMA.2010.30
Gonzalez-Pardo:2011:AoGEAtREI Analysis of Grammatical Evolution Approaches to Regular Expression Induction
AntonioGonzalez-Pardo.html
DavidCamacho.html
http___dx.doi.org_10.1109_CEC.2011.5949679 http://dx.doi.org/10.1109/CEC.2011.5949679
GonzalezTaboada:2016:CBM Prediction of the mechanical properties of structural recycled concrete using multivariable regression and genetic programming
IrisGonzalez-Taboada.html
BelenGonzalez-Fonteboa.html
FernandoMartinezAbella.html
JuanLuisPerez.html
http___dx.doi.org_10.1016_j.conbuildmat.2015.12.136 http://dx.doi.org/10.1016/j.conbuildmat.2015.12.136
http___www.sciencedirect.com_science_article_pii_S0950061815308072 http://www.sciencedirect.com/science/article/pii/S0950061815308072
goodacre:1999:ERDEC The characterisation of Bacillus species from PyMS and FT IR data
RoystonGoodacre.html
BeverleyShann.html
RichardJGilbert.html
EadaoinMTimmins.html
AoifeCMcGovern.html
BjornKAlsberg.html
NiallALogan.html
DouglasBKell.html
https___books.google.co.uk_books_id_kqGbGwAACAAJ https://books.google.co.uk/books?id=kqGbGwAACAAJ
goodacre:1999:dcvbcppmsGP The detection of caffeine in a variety of beverages using Curie-point pyrolysis mass spectrometry and genetic programming
RoystonGoodacre.html
RichardJGilbert.html
http___pubs.rsc.org_en_content_articlelanding_1999_an_a901062i http://pubs.rsc.org/en/content/articlelanding/1999/an/a901062i
http___dx.doi.org_10.1039_A901062I http://dx.doi.org/10.1039/A901062I
goodacre:2000:ddabmbscppmsftis The detection of the dipicolinic acid biomarker in Bacillus spores using Curie-point pyrolysis mass spectrometry and Fourier-transform infrared spectroscopy
RoystonGoodacre.html
BeverleyShann.html
RichardJGilbert.html
EadaoinMTimmins.html
AoifeCMcGovern.html
BjornKAlsberg.html
DouglasBKell.html
NiallALogan.html
http___pubs.acs.org_cgi-bin_article.cgi_ancham_2000_72_i01_html_ac990661i.html http://pubs.acs.org/cgi-bin/article.cgi/ancham/2000/72/i01/html/ac990661i.html
http___dx.doi.org_10.1021_ac990661i http://dx.doi.org/10.1021/ac990661i
Goodacre:2003:MP13 Evolutionary Computation for the Interpretation of Metabolomic Data
RoystonGoodacre.html
DouglasBKell.html
http___dx.doi.org_10.1007_978-1-4615-0333-0_13 http://dx.doi.org/10.1007/978-1-4615-0333-0_13
goodacre:2003:cdupx Chemometric discrimination of unfractionated plant extracts analyzed by electrospray mass spectrometry
RoystonGoodacre.html
EmmaVYork.html
JamesKHeald.html
IanMScott.html
http___www.sciencedirect.com_science_article_B6TH7-47WBXD4-7_2_91ff09f988be54824c55a1cb596f7839 http://www.sciencedirect.com/science/article/B6TH7-47WBXD4-7/2/91ff09f988be54824c55a1cb596f7839
http___dx.doi.org_10.1016_S0031-9422_02_00718-5 http://dx.doi.org/10.1016/S0031-9422(02)00718-5
Goodacre:2003:VS Explanatory analysis of spectroscopic data using machine learning of simple, interpretable rules
RoystonGoodacre.html
http___www.biospec.net_learning_Metab06_Goodacre-FTIRmaps.pdf http://www.biospec.net/learning/Metab06/Goodacre-FTIRmaps.pdf
http___www.sciencedirect.com_science_article_B6THW-48XJP5P-2_2_64840c1f311b856106e124993425ab92 http://www.sciencedirect.com/science/article/B6THW-48XJP5P-2/2/64840c1f311b856106e124993425ab92
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.147.8811 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.147.8811
http___dx.doi.org_10.1016_S0924-2031_03_00045-6 http://dx.doi.org/10.1016/S0924-2031(03)00045-6
goodacre:2004:TB Metabolomics by numbers: acquiring and understanding global metabolite data
RoystonGoodacre.html
SeetharamanVaidyanathan.html
WarwickBDunn.html
GeorgeGHarrigan.html
DouglasBKell.html
http___dbkgroup.org_Papers_trends_20in_20biotechnology_22__245_.pdf http://dbkgroup.org/Papers/trends%20in%20biotechnology_22_(245).pdf
http___dx.doi.org_10.1016_j.tibtech.2004.03.007 http://dx.doi.org/10.1016/j.tibtech.2004.03.007
Goodacre:2007:m Proposed minimum reporting standards for data analysis in metabolomics
RoystonGoodacre.html
DavidIBroadhurst.html
AgeKSmilde.html
BruceSKristal.html
JDavidBaker.html
RichardBeger.html
ConradBessant.html
SusanConnor.html
GiorgioCapuani.html
AndrewCraig.html
TimothyMEbbels.html
DouglasBKell.html
CesareManetti.html
JackNewton.html
GiovanniPaternostro.html
RayLSomorjai.html
MichaelSjostrom.html
JohanTrygg.html
FlorianWulfert.html
http___dbkgroup.org_Papers_goodacre_MSIdataanalysis07.pdf http://dbkgroup.org/Papers/goodacre_MSIdataanalysis07.pdf
http___dx.doi.org_10.1007_s11306-007-0081-3 http://dx.doi.org/10.1007/s11306-007-0081-3
GARAGe02-01-01 Automated Design Methodology for Mechatronic Systems Using Bond Graphs and Genetic Programming
ErikGoodman.html
KisungSeo.html
RonaldCRosenberg.html
ZhunFan.html
JianjunHu.html
BaihaiZhang.html
http___garage.cse.msu.edu_papers_GARAGe02-01-01.pdf http://garage.cse.msu.edu/papers/GARAGe02-01-01.pdf
Goodman:2019:sigevolution Human-Competitive Results Awards - ``Humies'' 2019 - Announces Winners at GECCO
ErikGoodman.html
https___evolution.sigevo.org_issues_SIGEVOlution1203.pdf https://evolution.sigevo.org/issues/SIGEVOlution1203.pdf
Goodman:2020:sigevolution Humies 2020 Competition Yields Spectacular Winners!
ErikGoodman.html
https___evolution.sigevo.org_issues_HTML_sigevolution-13-3_home.html https://evolution.sigevo.org/issues/HTML/sigevolution-13-3/home.html
https___dl.acm.org_action_showFmPdf_doi_10.1145_2F3430913 https://dl.acm.org/action/showFmPdf?doi=10.1145%2F3430913
Goodman:2021:sigevolution 2021 Humies Winners Awarded at GECCO!
ErikGoodman.html
https___evolution.sigevo.org_issues_HTML_sigevolution-14-3_home.html https://evolution.sigevo.org/issues/HTML/sigevolution-14-3/home.html
https___dl.acm.org_citation.cfm_id_3357514 https://dl.acm.org/citation.cfm?id=3357514
http___dx.doi.org_10.1145_3490676.3490677 http://dx.doi.org/10.1145/3490676.3490677
Goodman:2022:sigevolution 2022 Humies Winners Awarded at GECCO in Boston!
ErikGoodman.html
https___evolution.sigevo.org_issues_HTML_sigevolution-15-3_index.htm https://evolution.sigevo.org/issues/HTML/sigevolution-15-3/index.htm
https___dl.acm.org_action_showFmPdf_doi_10.1145_2F3578482 https://dl.acm.org/action/showFmPdf?doi=10.1145%2F3578482
Goodman:2023:sigevolution The 2023 Humies Awards
ErikGoodman.html
https___evolution.sigevo.org_issues_HTML_sigevolution-16-3_index.htm https://evolution.sigevo.org/issues/HTML/sigevolution-16-3/index.htm
http___dx.doi.org_10.1145_3629719.3629720 http://dx.doi.org/10.1145/3629719.3629720
Gopalakrishnan:2010:ANNIE Natural Selection of Asphalt Mix Stiffness Predictive Models with Genetic Programming
KasthuriranganGopalakrishnan.html
HalilCeylan.html
SungHwanKim.html
SiddharthaKumarKhaitan.html
http___dx.doi.org_10.1115_1.859599.paper48 http://dx.doi.org/10.1115/1.859599.paper48
Goranova:2019:sigevolution EuroGP vs EvoCOP: Contrasting the Collaboration Networks
MilaGoranova.html
GabrielaOchoa.html
MarcoTomassini.html
http___doi.acm.org_10.1145_3328473.3328475 http://doi.acm.org/10.1145/3328473.3328475
http___dx.doi.org_10.1145_3328473.3328475 http://dx.doi.org/10.1145/3328473.3328475
gordillo:1997:ocipGPpa Optimal Control of an Inverted Pendulum Using Genetic Programming: Practical Aspects
FGordillo.html
ABernal.html
http___dx.doi.org_10.1007_978-3-7091-6492-1_86 http://dx.doi.org/10.1007/978-3-7091-6492-1_86
gordon:1994:usni Exploring the Underlying Structure of Natural Images Through Genetic Programming
BenjaminMGordon.html
Gordon:2006:IS Adaptive Web Search: Evolving a Program That Finds Information
MichaelDGordon.html
WeiguoFan.html
PraveenPathak.html
http___dx.doi.org_10.1109_MIS.2006.86 http://dx.doi.org/10.1109/MIS.2006.86
gordon:2005:EH Development Brings Scalability to Hardware Evolution
TimGordon.html
PeterJBentley.html
http___www.cs.ucl.ac.uk_staff_t.gordon_gordont_scalability.pdf http://www.cs.ucl.ac.uk/staff/t.gordon/gordont_scalability.pdf
http___dx.doi.org_10.1109_EH.2005.18 http://dx.doi.org/10.1109/EH.2005.18
tgordon Exploiting Development to Enhance the Scalability of Hardware Evolution
TimGordon.html
https___discovery.ucl.ac.uk_id_eprint_1444775_ https://discovery.ucl.ac.uk/id/eprint/1444775/
https___ethos.bl.uk_OrderDetails.do_uin_uk.bl.ethos.420417 https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.420417
http___www.bcs.org_upload_pdf_tgordon.pdf http://www.bcs.org/upload/pdf/tgordon.pdf
Goribar:2015:NEO Automatic Random Tree Generator on FPGA
CarlosAntonioGoribarJimenez.html
YazminMaldonadoRobles.html
LeonardoTrujillo.html
http___dx.doi.org_10.1007_978-3-319-44003-3_4 http://dx.doi.org/10.1007/978-3-319-44003-3_4
Goribar-Jimenez:2016:GECCOcomp Random Tree Generator for an FPGA-based Genetic Programming System
CarlosAntonioGoribarJimenez.html
YazminMaldonadoRobles.html
LeonardoTrujillo.html
http___dx.doi.org_10.1145_2908961.2931665 http://dx.doi.org/10.1145/2908961.2931665
goribar-jimenez:2017:CEC Towards the development of a complete GP system on an FPGA using geometric semantic operators
CarlosAntonioGoribarJimenez.html
YazminMaldonadoRobles.html
LeonardoTrujillo.html
MauroCastelli.html
IvoGoncalves.html
LeonardoVanneschi.html
http___dx.doi.org_10.1109_CEC.2017.7969537 http://dx.doi.org/10.1109/CEC.2017.7969537
GORKEMLI:2019:IS A quick semantic artificial bee colony programming (qsABCP) for symbolic regression
BeyzaGorkemli.html
DervisKaraboga.html
http___dx.doi.org_10.1016_j.ins.2019.06.052 http://dx.doi.org/10.1016/j.ins.2019.06.052
http___www.sciencedirect.com_science_article_pii_S0020025519305900 http://www.sciencedirect.com/science/article/pii/S0020025519305900
gorsevski:2021:NH An evolutionary approach for spatial prediction of landslide susceptibility using LiDAR and symbolic classification with genetic programming
PeceVGorsevski.html
http___link.springer.com_article_10.1007_s11069-021-04780-z http://link.springer.com/article/10.1007/s11069-021-04780-z
http___dx.doi.org_10.1007_s11069-021-04780-z http://dx.doi.org/10.1007/s11069-021-04780-z
Gorski:2015:PECCS GP-based methodology for HW/SW co-synthesis of multiprocessor embedded systems with increasing number of individuals obtained by mutation
AdamGorski.html
MaciejOgorzalek.html
http___ieeexplore.ieee.org_xpl_articleDetails.jsp_tp__arnumber_7483773 http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=7483773
DBLP:conf/sensornets/GorskiO21 Genetic Programming based Iterative Improvement Algorithm for HW/SW Cosynthesis of Distributted Embedded Systems
AdamGorski.html
MaciejOgorzalek.html
https___doi.org_10.5220_0010391501200125 https://doi.org/10.5220/0010391501200125
http___dx.doi.org_10.5220_0010391501200125 http://dx.doi.org/10.5220/0010391501200125
https___dblp.org_rec_conf_sensornets_GorskiO21.bib https://dblp.org/rec/conf/sensornets/GorskiO21.bib
DBLP:conf/icsoft/GorskiO21 Genetic Programming based Constructive Algorithm with Penalty Function for Hardware/Software Cosynthesis of Embedded Systems
AdamGorski.html
MaciejOgorzalek.html
https___doi.org_10.5220_0010605005830588 https://doi.org/10.5220/0010605005830588
http___dx.doi.org_10.5220_0010605005830588 http://dx.doi.org/10.5220/0010605005830588
https___dblp.org_rec_conf_icsoft_GorskiO21.bib https://dblp.org/rec/conf/icsoft/GorskiO21.bib
DBLP:conf/sensornets/GorskiO22 Genetic Programming based Algorithm for HW/SW Cosynthesis of Distributed Embedded Systems Specified using Conditional Task Graph
AdamGorski.html
MaciejOgorzalek.html
https___doi.org_10.5220_0011011700003118 https://doi.org/10.5220/0011011700003118
http___dx.doi.org_10.5220_0011011700003118 http://dx.doi.org/10.5220/0011011700003118
https___dblp.org_rec_conf_sensornets_GorskiO22.bib https://dblp.org/rec/conf/sensornets/GorskiO22.bib
Goschen:2022:CEC Genetic Micro-Programs for Automated Software Testing with Large Path Coverage
JarrodGoschen.html
AnnaSBosman.html
StefanGruner.html
http___dx.doi.org_10.1109_CEC55065.2022.9870310 http://dx.doi.org/10.1109/CEC55065.2022.9870310
Gosling:2012:GPEM Moshe Sipper: Evolved to Win
TimothyGosling.html
http___dx.doi.org_10.1007_s10710-012-9157-6 http://dx.doi.org/10.1007/s10710-012-9157-6
Gostimirovi:2012:JPE Modeling of Discharge Energy in Electrical Discharge Machining by the use of Genetic Programming
MarinGostimirovi.html
VladimirPucovsky.html
PavelKovac.html
DraganRodic.html
BorislavSavkovic.html
http___www.jpe.ftn.uns.ac.rs_papers_2012_no2_3-Gostimirovic-JPE.pdf http://www.jpe.ftn.uns.ac.rs/papers/2012/no2/3-Gostimirovic-JPE.pdf
1277011 Stochastic training of a biologically plausible spino-neuromuscular system model
StanleyPhillipsGotshall.html
TerenceSoule.html
http___gpbib.cs.ucl.ac.uk_gecco2007_docs_p253.pdf http://gpbib.cs.ucl.ac.uk/gecco2007/docs/p253.pdf
http___dx.doi.org_10.1145_1276958.1277011 http://dx.doi.org/10.1145/1276958.1277011
stan_dissertation Evolutionary training of a biologically plausible spino-neuromuscular system model
StanleyPhillipsGotshall.html
http___www2.cs.uidaho.edu__tsoule_website_with_hierarchy_stan_dissertation.pdf http://www2.cs.uidaho.edu/~tsoule/website_with_hierarchy/stan_dissertation.pdf
http___digital.lib.uidaho.edu_cdm_ref_collection_etd_id_221 http://digital.lib.uidaho.edu/cdm/ref/collection/etd/id/221
gounares:2001:patent Adaptive problem solving method and apparatus utilizing evolutionary computation techniques
AlexanderGounares.html
PrakashSikchi.html
http___patft.uspto.gov_netacgi_nph-Parser_Sect2_PTO1_Sect2_HITOFF_p_1_u__netahtml_PTO_search-bool.html_r_1_f_G_l_50_d_PALL_RefSrch_yes_Query_PN_6282527 http://patft.uspto.gov/netacgi/nph-Parser?Sect2=PTO1&Sect2=HITOFF&p=1&u=/netahtml/PTO/search-bool.html&r=1&f=G&l=50&d=PALL&RefSrch=yes&Query=PN/6282527
gout2016 Learning Optimal Control of Synchronization in Networks of Coupled Oscillators using Genetic Programming-based Symbolic Regression
JulienGout.html
MarkusQuade.html
KamranShafi.html
RobertKNiven.html
MarkusWAbel.html
http___arxiv.org_abs_1612.05276 http://arxiv.org/abs/1612.05276
Goyal:2023:ICCCI An Ensemble Of Machine And Deep Learning Models For Real Time Credit Card Scam Recognition
KhushiGoyal.html
ShauryaSingh.html
MuskanGulati.html
ASuresh.html
http___dx.doi.org_10.1109_ICCCI56745.2023.10128473 http://dx.doi.org/10.1109/ICCCI56745.2023.10128473
Goyal:2016:ICCCA Analysing software reliability modelling aspects using soft computing methodology
UttaraGoyal.html
ArunimaJaiswal.html
http___dx.doi.org_10.1109_CCAA.2016.7813745 http://dx.doi.org/10.1109/CCAA.2016.7813745
Gp:2017:iCATccT Multiclass genetic programming based approach for classification of intrusions
SunithaGp.html
RioD'Souza.html
http___dx.doi.org_10.1109_ICATCCT.2017.8389109 http://dx.doi.org/10.1109/ICATCCT.2017.8389109
graae:2000:svhrGP Stereoscopic Vision for a Humanoid Robot Using Genetic Programming
CristopherTMGraae.html
PeterNordin.html
MatsGNordahl.html
http___dx.doi.org_10.1007_3-540-45561-2_2 http://dx.doi.org/10.1007/3-540-45561-2_2
Grabusts:2021:SIE Evolutionary algorithms learning methods in student education
PeterisGrabusts.html
AlexZorins.html
http___journals.ru.lv_index.php_SIE_article_view_6153 http://journals.ru.lv/index.php/SIE/article/view/6153
http___journals.ru.lv_index.php_SIE_article_view_6153_5199.pdf http://journals.ru.lv/index.php/SIE/article/view/6153/5199.pdf
http___dx.doi.org_10.17770_sie2021vol5.6153 http://dx.doi.org/10.17770/sie2021vol5.6153
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JeanineGraf.html
WolfgangBanzhaf.html
http___dx.doi.org_10.1007_3-540-61108-8_43 http://dx.doi.org/10.1007/3-540-61108-8_43
Graff:2008:eurogp Practical Model of Genetic Programming's Performance on Rational Symbolic Regression Problems
MarioGraffGuerrero.html
RiccardoPoli.html
http___dx.doi.org_10.1007_978-3-540-78671-9_11 http://dx.doi.org/10.1007/978-3-540-78671-9_11
Graff:2009:eurogp Automatic Creation of Taxonomies of Genetic Programming Systems
MarioGraffGuerrero.html
RiccardoPoli.html
http___dx.doi.org_10.1007_978-3-642-01181-8_13 http://dx.doi.org/10.1007/978-3-642-01181-8_13
Graff20101254 Practical performance models of algorithms in evolutionary program induction and other domains
MarioGraffGuerrero.html
RiccardoPoli.html
http___dx.doi.org_10.1016_j.artint.2010.07.005 http://dx.doi.org/10.1016/j.artint.2010.07.005
http___www.sciencedirect.com_science_article_B6TYF-50KWG15-1_2_3fb87252c46b990fe9a47f5dbd261a82 http://www.sciencedirect.com/science/article/B6TYF-50KWG15-1/2/3fb87252c46b990fe9a47f5dbd261a82
Graff-Guerrero:thesis Models of the Performance of Evolutionary Program Induction Algorithms
MarioGraffGuerrero.html
http___lsc.fie.umich.mx__mgraffg_phd_thesis.pdf http://lsc.fie.umich.mx/~mgraffg/phd_thesis.pdf
graff:2011:EuroGP Performance Models for Evolutionary Program Induction Algorithms based on Problem Difficulty Indicators
MarioGraffGuerrero.html
RiccardoPoli.html
http___dx.doi.org_10.1007_978-3-642-20407-4_11 http://dx.doi.org/10.1007/978-3-642-20407-4_11
Graff:2013:EC Models of Performance of Evolutionary Program Induction Algorithms Based on Indicators of Problem Difficulty
MarioGraffGuerrero.html
RiccardoPoli.html
JuanJFlores.html
http___dx.doi.org_10.1162_EVCO_a_00096 http://dx.doi.org/10.1162/EVCO_a_00096
Graff:2013:CEC Wind Speed Forecasting using Genetic Programming
MarioGraffGuerrero.html
RafaelPena.html
JAurelioMedinaRios.html
http___dx.doi.org_10.1109_CEC.2013.6557598 http://dx.doi.org/10.1109/CEC.2013.6557598
graff:2014:EuroGP Semantic Crossover based on the Partial Derivative Error
MarioGraffGuerrero.html
ArielGraff-Guerrero.html
JamieCerda.html
http___dx.doi.org_10.1007_978-3-662-44303-3_4 http://dx.doi.org/10.1007/978-3-662-44303-3_4
Graff:2014:ROPEC Genetic Programming: Semantic point mutation operator based on the partial derivative error
MarioGraffGuerrero.html
JuanJFlores.html
JoseOrtizBejar.html
http___dx.doi.org_10.1109_ROPEC.2014.7036344 http://dx.doi.org/10.1109/ROPEC.2014.7036344
Graff:2015:ROPEC Memetic Genetic Programming based on orthogonal projections in the phenotype space
MarioGraffGuerrero.html
EricSaditTellez.html
HugoJairEscalante.html
JoseOrtizBejar.html
http___dx.doi.org_10.1109_ROPEC.2015.7395160 http://dx.doi.org/10.1109/ROPEC.2015.7395160
journals/rcs/GraffTVM15 Semantic Genetic Programming Operators Based on Projections in the Phenotype Space
MarioGraffGuerrero.html
EricSaditTellez.html
ElioAtenogenesVillasenorGarcia.html
SabinoMiranda-Jimenez.html
http___www.rcs.cic.ipn.mx_2015_94_ http://www.rcs.cic.ipn.mx/2015_94/
http___rcs.cic.ipn.mx_2015_94_Semantic_20Genetic_20Programming_20Operators_20Based_20on_20Projections_20in_20the_20Phenotype_20Space.pdf http://rcs.cic.ipn.mx/2015_94/Semantic%20Genetic%20Programming%20Operators%20Based%20on%20Projections%20in%20the%20Phenotype%20Space.pdf
Graff:2015:NEO Semantic Genetic Programming for Sentiment Analysis
MarioGraffGuerrero.html
EricSaditTellez.html
HugoJairEscalante.html
SabinoMiranda-Jimenez.html
http___link.springer.com_chapter_10.1007_978-3-319-44003-3_2 http://link.springer.com/chapter/10.1007/978-3-319-44003-3_2
http___dx.doi.org_10.1007_978-3-319-44003-3_2 http://dx.doi.org/10.1007/978-3-319-44003-3_2
Graff:2016:ROPEC EvoDAG: A semantic Genetic Programming Python library
MarioGraffGuerrero.html
EricSaditTellez.html
SabinoMiranda-Jimenez.html
HugoJairEscalante.html
http___ieeexplore.ieee.org_document_7830633_ http://ieeexplore.ieee.org/document/7830633/
http___dx.doi.org_10.1109_ROPEC.2016.7830633 http://dx.doi.org/10.1109/ROPEC.2016.7830633
journals/nc/GraffEOT17 Time series forecasting with genetic programming
MarioGraffGuerrero.html
HugoJairEscalante.html
FernandoOrnelas-Tellez.html
EricSaditTellez.html
http___dx.doi.org_10.1007_s11047-015-9536-z http://dx.doi.org/10.1007/s11047-015-9536-z
DBLP:conf/semeval/GraffMTO19 INGEOTEC at SemEval-2019 Task 5 and Task 6: A Genetic Programming Approach for Text Classification
MarioGraffGuerrero.html
SabinoMiranda-Jimenez.html
EricSaditTellez.html
DanielaAlejandraOchoa.html
https___doi.org_10.18653_v1_s19-2114 https://doi.org/10.18653/v1/s19-2114
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EvoMSA_A_Multilingual_Evolutionary_Approach_for_Sentiment_Analysis_Application_Notes EvoMSA: A Multilingual Evolutionary Approach for Sentiment Analysis
MarioGraffGuerrero.html
SabinoMiranda-Jimenez.html
EricSaditTellez.html
DanielaAlejandraMoctezumaOchoa.html
http___arxiv.org_abs_1812.02307 http://arxiv.org/abs/1812.02307
http___dx.doi.org_10.1109_MCI.2019.2954668 http://dx.doi.org/10.1109/MCI.2019.2954668
https___github.com_INGEOTEC_EvoMSA https://github.com/INGEOTEC/EvoMSA
Graham:2009:eurogp Beneficial Preadaptation in the Evolution of a 2D Agent Control System with Genetic Programming
LeeGraham.html
RobertDavidCattral.html
FranzOppacher.html
http___dx.doi.org_10.1007_978-3-642-01181-8_26 http://dx.doi.org/10.1007/978-3-642-01181-8_26
graham-rowe:1999:elvis Elvis Lives
DuncanGraham-Rowe.html
http___www.newscientist.com_article_mg16322002.400-elvis-lives.html http://www.newscientist.com/article/mg16322002.400-elvis-lives.html
graham-rowe:2001:egp Evolve or die
DuncanGraham-Rowe.html
http___www.newscientist.com_article_mg17223142.200-evolve-or-die.html http://www.newscientist.com/article/mg17223142.200-evolve-or-die.html
graham-rowe:2005:complearn Google's search for meaning
DuncanGraham-Rowe.html
https___www.newscientist.com_article_dn6924-googles-search-for-meaning_ https://www.newscientist.com/article/dn6924-googles-search-for-meaning/
Grahl:2006:GECCO:lbp Late breaking papers at Genetic and Evolutionary Computation Conference (GECCO'2006)
JoernGrahl.html
http___gpbib.cs.ucl.ac.uk_gecco2006etc_LBP.html http://gpbib.cs.ucl.ac.uk/gecco2006etc/LBP.html
grant:msc An Investigation into Genetic Programming
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http___www.michael-grant.me.uk_msc.zip http://www.michael-grant.me.uk/msc.zip
http___www.michael-grant.me.uk_msc_writeup.pdf http://www.michael-grant.me.uk/msc_writeup.pdf
http___www.michael-grant.me.uk_msc_appendx.pdf http://www.michael-grant.me.uk/msc_appendx.pdf
grant:phd An Investigation into the Suitability of Genetic Programming for Computing Visibility Areas for Sensor Planning
MichaelSeanGrant.html
http___www.michael-grant.me.uk_phd.zip http://www.michael-grant.me.uk/phd.zip
http___hdl.handle.net_10399_555 http://hdl.handle.net/10399/555
http___ethos.bl.uk_OrderDetails.do_uin_uk.bl.ethos.325090 http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.325090
http___books.google.co.uk_books_id_Mr4dHAAACAAJ http://books.google.co.uk/books?id=Mr4dHAAACAAJ
Gray:2018:GPEM Data exploration in evolutionary reconstruction of PET images
CameronCGray.html
ShathaFAl-Maliki.html
FranckPVidal.html
https___doi.org_10.1007_s10710-018-9330-7 https://doi.org/10.1007/s10710-018-9330-7
http___dx.doi.org_10.1007_s10710-018-9330-7 http://dx.doi.org/10.1007/s10710-018-9330-7
gray:1996:ssi Structural System Identification Using Genetic Programming and a Block Diagram Oriented Simulation Tool
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KennethCSharman.html
http___www.mech.gla.ac.uk_Research_Control_Publications_Reports_csc96003.ps http://www.mech.gla.ac.uk/Research/Control/Publications/Reports/csc96003.ps
gray:1996:ssi2 Structural system identification using genetic programming and a block diagram oriented simulation tool
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KennethCSharman.html
http___ieeexplore.ieee.org_iel1_2220_11173_00511160.pdf_isNumber_11173 http://ieeexplore.ieee.org/iel1/2220/11173/00511160.pdf?isNumber=11173
http___dx.doi.org_10.1049_el_19960888 http://dx.doi.org/10.1049/el:19960888
gray:1996:nmsti Nonlinear Model Structure Identification Using Genetic Programming
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Gray:1997:ISMM Nonlinear Structural System Identification Using Genetic Programming
GaryJGray.html
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YunLi.html
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gray:1997: Issues in Nonlinear Model Structure Identification Using Genetic Programming
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YunLi.html
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http___dx.doi.org_10.1049_cp_19971198 http://dx.doi.org/10.1049/cp:19971198
Gray:1998:CEP Nonlinear model structure identification using genetic programming
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KennethCSharman.html
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gray:1996:GPcbtNMR Genetic Programming Classification of Magnetic Resonance Data
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CarlesArus.html
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https___dl.acm.org_doi_10.5555_1595536.1595602 https://dl.acm.org/doi/10.5555/1595536.1595602
http___cognet.mit.edu_sites_default_files_books_9780262315876_pdfs_9780262315876_chap63.pdf http://cognet.mit.edu/sites/default/files/books/9780262315876/pdfs/9780262315876_chap63.pdf
http___cognet.mit.edu_library_books_view_isbn_0262611279 http://cognet.mit.edu/library/books/view?isbn=0262611279
Gray:1997:GPmcMRS Genetic Programming for Multi-class Classification of Magnetic Resonance Spectroscopy Data
HelenGray.html
RossJamesMaxwell.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_gp1997_Gray_1997_GPmcMRS.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/gp1997/Gray_1997_GPmcMRS.pdf
gray:1997:GPcmd Genetic Programming for Classification of Medical Data
HelenGray.html
gray:1998:GPcfs:aNMRshbtb Genetic programming for classification and feature selection: analysis of 1H nuclear magnetic resonance spectra from human brain tumour biopsies
HelenGray.html
RossJamesMaxwell.html
IreneMartinez-Perez.html
CarlesArus.html
SebastianCerdan.html
http___dx.doi.org_10.1002__SICI_1099-1492_199806_08_11_4_5_3C217__AID-NBM512_3E3.0.CO_3B2-4 http://dx.doi.org/10.1002/(SICI)1099-1492(199806/08)11:4/5%3C217::AID-NBM512%3E3.0.CO%3B2-4
Gray:2000:GPO Genetic Programming Optimisation of Nuclear Magnetic Resonance Pulse Shapes
HelenGray.html
RossJamesMaxwell.html
http___dx.doi.org_10.1007_3-540-39949-6_30 http://dx.doi.org/10.1007/3-540-39949-6_30
Gray:thesis Evolutionary computing techniques to aid the acquisition and analysis of nuclear magnetic resonance data
HelenGray.html
https___openaccess.city.ac.uk_id_eprint_8519_ https://openaccess.city.ac.uk/id/eprint/8519/
https___openaccess.city.ac.uk_id_eprint_8519_1_Evolutionary_computing_techniques_to_aid_the_acquisition_and_analysis_of_nuclear_magnetic_resonance_data.pdf https://openaccess.city.ac.uk/id/eprint/8519/1/Evolutionary_computing_techniques_to_aid_the_acquisition_and_analysis_of_nuclear_magnetic_resonance_data.pdf
https___ethos.bl.uk_OrderDetails.do_uin_uk.bl.ethos.440692 https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.440692
Greeff:1997:eemmps Evolution of Empirical Models for Metallurgical Process Systems
DJGreeff.html
CAldrich.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_gp1997_Greeff_1997_eemmps.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/gp1997/Greeff_1997_eemmps.pdf
Greeff:1998:CCE Empirical modelling of chemical process systems with evolutionary programming
DJGreeff.html
CAldrich.html
http___www.sciencedirect.com_science_article_B6TFT-3TKV02R-F_2_30657596f48ca16571ac48098a948833 http://www.sciencedirect.com/science/article/B6TFT-3TKV02R-F/2/30657596f48ca16571ac48098a948833
http___dx.doi.org_10.1016_S0098-1354_97_00271-8 http://dx.doi.org/10.1016/S0098-1354(97)00271-8
Green:2020:GECCO Modeling Wildfire Using Evolutionary Cellular Automata
MaxfieldEGreen.html
ToddFDeLuca.html
KarlWDKaiser.html
https___doi.org_10.1145_3377930.3389836 https://doi.org/10.1145/3377930.3389836
http___dx.doi.org_10.1145_3377930.3389836 http://dx.doi.org/10.1145/3377930.3389836
Greene:2008:gecco Using expert knowledge in initialization for genome-wide analysis of epistasis using genetic programming
CaseySGreene.html
BillCWhite.html
JasonHMoore.html
http___gpbib.cs.ucl.ac.uk_gecco2008_docs_p351.pdf http://gpbib.cs.ucl.ac.uk/gecco2008/docs/p351.pdf
http___dx.doi.org_10.1145_1389095.1389158 http://dx.doi.org/10.1145/1389095.1389158
Greene:2008:sigevo Human Genetics Using GP
CaseySGreene.html
JasonHMoore.html
http___www.sigevolution.org_issues_pdf_SIGEVOlution200802.pdf http://www.sigevolution.org/issues/pdf/SIGEVOlution200802.pdf
Greene:2009:cec Nature-Inspired Algorithms for the Genetic Analysis of Epistasis in Common Human Diseases: Theoretical Assessment of Wrapper vs. Filter Approaches
CaseySGreene.html
JeffKiralis.html
JasonHMoore.html
http___dx.doi.org_10.1109_CEC.2009.4983027 http://dx.doi.org/10.1109/CEC.2009.4983027
Greene:2009:cec2 Sensible Initialization Using Expert Knowledge for Genome-Wide Analysis of Epistasis Using Genetic Programming
CaseySGreene.html
BillCWhite.html
JasonHMoore.html
http___dx.doi.org_10.1109_CEC.2009.4983093 http://dx.doi.org/10.1109/CEC.2009.4983093
greene:thesis Genetic Synthesis of Signal Processing Networks Utilizing Diploid/Dominance
FrancisGreene.html
https___digital.lib.washington.edu_dspace_handle_1773_4915_browse_rpp_20_etal_-1_type_title_starts_with_G_order_ASC_sort_by_1 https://digital.lib.washington.edu/dspace/handle/1773/4915/browse?rpp=20&etal=-1&type=title&starts_with=G&order=ASC&sort_by=1
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_fgPhdDissertation.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/fgPhdDissertation.pdf
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_fgDissertation.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/fgDissertation.pdf
Greene:2000:GECCO A Non-Linear Schema Theorem for Genetic Algorithms
WilliamAGreene.html
http___www.cs.uno.edu_People_Faculty_bill_NonLinSchemaTheorem-GECCO-2000.pdf http://www.cs.uno.edu/People/Faculty/bill/NonLinSchemaTheorem-GECCO-2000.pdf
http___gpbib.cs.ucl.ac.uk_gecco2000_GA068.pdf http://gpbib.cs.ucl.ac.uk/gecco2000/GA068.pdf
https___dl.acm.org_doi_10.5555_2933718.2933744 https://dl.acm.org/doi/10.5555/2933718.2933744
greene:sdi:gecco2004 Schema Disruption in Chromosomes That Are Structured as Binary Trees
WilliamAGreene.html
http___www.cs.uno.edu_People_Faculty_bill_Schema-disruption-binary-trees-GECCO-2004.pdf http://www.cs.uno.edu/People/Faculty/bill/Schema-disruption-binary-trees-GECCO-2004.pdf
http___dx.doi.org_10.1007_978-3-540-24854-5_116 http://dx.doi.org/10.1007/978-3-540-24854-5_116
http___dx.doi.org_10.1007_b98643 http://dx.doi.org/10.1007/b98643
conf/prib/GreeneWM07 An Expert Knowledge-Guided Mutation Operator for Genome-Wide Genetic Analysis Using Genetic Programming
CaseySGreene.html
BillCWhite.html
JasonHMoore.html
http___dx.doi.org_10.1007_978-3-540-75286-8_4 http://dx.doi.org/10.1007/978-3-540-75286-8_4
Greene:2009:GPTP Environmental Sensing of Expert Knowledge in a Computational Evolution System for Complex Problem Solving in Human Genetics
CaseySGreene.html
DouglasPHill.html
JasonHMoore.html
http___dx.doi.org_10.1007_978-1-4419-1626-6_2 http://dx.doi.org/10.1007/978-1-4419-1626-6_2
greenfield:2000:ECAPHE Evolution of Communication Among Prey in a Hostile Environment
AaronGreenfield.html
greenwold:2000:AGG AGENCY GP: Genetic programming for architectural design
SimonMGreenwold.html
greenwood:2001:bicm Book Review: Bio-Inspired Computing Machines: Towards Novel Computational Architectures
GarrisonWGreenwood.html
http___dx.doi.org_10.1023_A_1010022700219 http://dx.doi.org/10.1023/A:1010022700219
Greer:2018:NAECON Guiding Software Evolution with Binary Diversity
JeremiahGreer.html
SamuelToth.html
RashmiJha.html
AncaRalescu.html
NanNiu.html
MitchellHirschfeld.html
DavidKapp.html
http___dx.doi.org_10.1109_NAECON.2018.8556645 http://dx.doi.org/10.1109/NAECON.2018.8556645
Gregor:2012:ELEKTRO Use of context blocks in genetic programming for evolution of robot morphology
MichalGregor.html
JurajSpalek.html
JanCapak.html
http___dx.doi.org_10.1109_ELEKTRO.2012.6225655 http://dx.doi.org/10.1109/ELEKTRO.2012.6225655
Gregor:2013:INES Using context blocks to implement Node-attached Modules in genetic programming
MichalGregor.html
JurajSpalek.html
http___dx.doi.org_10.1109_INES.2013.6632833 http://dx.doi.org/10.1109/INES.2013.6632833
Gregor:2016:ArXiv Fitness-based Adaptive Control of Parameters in Genetic Programming: Adaptive Value Setting of Mutation Rate and Flood Mechanisms
MichalGregor.html
JurajSpalek.html
http___arxiv.org_abs_1605.01514 http://arxiv.org/abs/1605.01514
Gregor:2016:ELEKTRO Using LLVM-based JIT compilation in genetic programming
MichalGregor.html
JurajSpalek.html
https___arxiv.org_abs_1701.05730 https://arxiv.org/abs/1701.05730
http___dx.doi.org_10.1109_ELEKTRO.2016.7512108 http://dx.doi.org/10.1109/ELEKTRO.2016.7512108
gregory:1998:GAoddq Genetic Algorithm Optimisation of Distributed Database Queries
MichaelGregory.html
http___dx.doi.org_10.1109_ICEC.1998.699724 http://dx.doi.org/10.1109/ICEC.1998.699724
Gregson:2020:ICACR Linear Genetic Programming-Based Controller for Space Debris Retrieval
EGregson.html
MLSeto.html
http___dx.doi.org_10.1109_ICACR51161.2020.9265513 http://dx.doi.org/10.1109/ICACR51161.2020.9265513
Greig:2021:IGSS Generating Agent Based Models From Scratch With Genetic Programming
RoryGreig.html
JordiArranz.html
https___www.igss-workshop.org_abstracts https://www.igss-workshop.org/abstracts
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_igss-workshop_2021.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/igss-workshop_2021.pdf
https___www.youtube.com_watch_v_tKpZdJ3PftI https://www.youtube.com/watch?v=tKpZdJ3PftI
Greig:2021:ALife Generating Agent Based Models From Scratch With Genetic Programming
RoryGreig.html
JordiArranz.html
https___direct.mit.edu_isal_proceedings_isal2020_32_1_98387 https://direct.mit.edu/isal/proceedings/isal2020/32/1/98387
https___direct.mit.edu_isal_proceedings-pdf_isal_33_64_1956387_isal_a_00383.pdf https://direct.mit.edu/isal/proceedings-pdf/isal/33/64/1956387/isal_a_00383.pdf
http___dx.doi.org_10.1162_isal_a_00383 http://dx.doi.org/10.1162/isal_a_00383
DBLP:journals/corr/abs-2101-08742 Soft Genetic Programming Binary Classifiers
IvanGridin.html
https___arxiv.org_abs_2101.08742 https://arxiv.org/abs/2101.08742
https___dblp.org_rec_journals_corr_abs-2101-08742.bib https://dblp.org/rec/journals/corr/abs-2101-08742.bib
Griffin:2023:GI DebugNS: Novelty Search for Finding Bugs in Simulators
DavidGriffin.html
SusanStepney.html
IanVidamour.html
http___gpbib.cs.ucl.ac.uk_gi2023_Griffin_2023_GI.pdf http://gpbib.cs.ucl.ac.uk/gi2023/Griffin_2023_GI.pdf
http___dx.doi.org_10.1109_GI59320.2023.00012 http://dx.doi.org/10.1109/GI59320.2023.00012
http___gpbib.cs.ucl.ac.uk_gi2023_DebugNS.pdf http://gpbib.cs.ucl.ac.uk/gi2023/DebugNS.pdf
http___gpbib.cs.ucl.ac.uk_gi2023_DebugNS.mp4 http://gpbib.cs.ucl.ac.uk/gi2023/DebugNS.mp4
https___www.youtube.com_watch_v_NkLaQGA847s_list_PLI8fiFpB7BoJLh6cUpGBjyeB1hM9DET1V_index_4 https://www.youtube.com/watch?v=NkLaQGA847s&list=PLI8fiFpB7BoJLh6cUpGBjyeB1hM9DET1V&index=4
griffin:2014:IJAMT The prediction of profile deviations when Creep Feed grinding complex geometrical features by use of neural networks and genetic programming with real-time simulation
JamesGriffin.html
http___link.springer.com_article_10.1007_s00170-014-5829-0 http://link.springer.com/article/10.1007/s00170-014-5829-0
http___dx.doi.org_10.1007_s00170-014-5829-0 http://dx.doi.org/10.1007/s00170-014-5829-0
Griffioen:2008:cec Learning Benefits Evolution if Sex Gives Pleasure
RobertGriffioen.html
SelmarKagisoSmit.html
GuszEiben.html
http___www.cs.vu.nl__gusz_papers_2008-CEC-Griffioen-Smit-Eiben.pdf http://www.cs.vu.nl/~gusz/papers/2008-CEC-Griffioen-Smit-Eiben.pdf
http___dx.doi.org_10.1109_CEC.2008.4631073 http://dx.doi.org/10.1109/CEC.2008.4631073
Griffiths:2017:EuroGP Improving the Tartarus Problem as a Benchmark in Genetic Programming
ThomasDGriffiths.html
AnikoEkart.html
http___dx.doi.org_10.1007_978-3-319-55696-3_18 http://dx.doi.org/10.1007/978-3-319-55696-3_18
Griffiths:2018:PPSN Self-Adaptive Crossover in Genetic Programming: The Case of the Tartarus Problem
ThomasDGriffiths.html
AnikoEkart.html
https___www.springer.com_gp_book_9783319992587 https://www.springer.com/gp/book/9783319992587
http___dx.doi.org_10.1007_978-3-319-99253-2_19 http://dx.doi.org/10.1007/978-3-319-99253-2_19
griffiths:2018:ALIA Improving the Effectiveness of Genetic Programming Using Continuous Self-adaptation
ThomasDGriffiths.html
AnikoEkart.html
http___link.springer.com_chapter_10.1007_978-3-319-90418-4_8 http://link.springer.com/chapter/10.1007/978-3-319-90418-4_8
http___dx.doi.org_10.1007_978-3-319-90418-4_8 http://dx.doi.org/10.1007/978-3-319-90418-4_8
Griffiths:2019:GECCOcomp Increasing genetic programming robustness using simulated Dunning-Kruger effect
ThomasDGriffiths.html
AnikoEkart.html
http___dx.doi.org_10.1145_3319619.3321885 http://dx.doi.org/10.1145/3319619.3321885
grimbleby:1995: Automatic Analogue Network Synthesis using Genetic Algorithms
JBGrimbleby.html
http___dx.doi.org_10.1049_cp_19951024 http://dx.doi.org/10.1049/cp:19951024
grimbleby:2000: Automatic analogue circuit synthesis using genetic algorithms
JBGrimbleby.html
https___citeseerx.ist.psu.edu_document_repid_rep1_type_pdf_doi_728229e95b2f8a622ad99511d5f46dd515d6e52d https://citeseerx.ist.psu.edu/document?repid=rep1&type=pdf&doi=728229e95b2f8a622ad99511d5f46dd515d6e52d
http___dx.doi.org_10.1049_ip-cds_20000770 http://dx.doi.org/10.1049/ip-cds:20000770
grimes:1995:gtprtm Application of Genetic Techniques to the Planning of Railway Track Maintenance Work
CAGrimes.html
http___dx.doi.org_10.1049_cp_19951093 http://dx.doi.org/10.1049/cp:19951093
Grin:2021:CEC Advancing Genetic Programming via Information Theory
AleksandrVGrin.html
AHGandomi.html
http___dx.doi.org_10.1109_CEC45853.2021.9504859 http://dx.doi.org/10.1109/CEC45853.2021.9504859
Grinan:2019:SMC Grammar-based Tree Swarm Optimization
DavidGrinan.html
AlfredoIbias.html
ManuelNsnez.html
http___dx.doi.org_10.1109_SMC.2019.8914268 http://dx.doi.org/10.1109/SMC.2019.8914268
grinan:2020:CEC Generating Tree Inputs For Testing Using Evolutionary Computation Techniques
DavidGrinan.html
AlfredoIbias.html
https___alfredoibias.com_wp-content_uploads_2020_04_2020-CEC.pdf https://alfredoibias.com/wp-content/uploads/2020/04/2020-CEC.pdf
http___dx.doi.org_10.1109_CEC48606.2020.9185561 http://dx.doi.org/10.1109/CEC48606.2020.9185561
oai:ufu.br:295 Regress\~ao simb\'olica via programa\c c\~ao gen\'etica: um estudo de caso com modelagem geof\'isica
AlexandreGrings.html
http___www.bdtd.ufu.br__tde_busca_arquivo.php_codArquivo_550.pdf http://www.bdtd.ufu.br//tde_busca/arquivo.php?codArquivo=550.pdf
gritz:1995:GPafm Genetic Programming for Articulated Figure Motion
LarryGritz.html
JamesKwangjuneHahn.html
http___www.icg.seas.gwu.edu_Publications_gpafm.ps http://www.icg.seas.gwu.edu/Publications/gpafm.ps
Gritz:1997:GPec3da Genetic Programming Evolution of Controllers for 3-D Character Animation
LarryGritz.html
JamesKwangjuneHahn.html
http___www.icg.seas.gwu.edu_Publications_gpec-gp97.ps http://www.icg.seas.gwu.edu/Publications/gpec-gp97.ps
gritz:dissertation Evolutionary Controller Synthesis for 3-D Character Animation
LarryGritz.html
http___www.icg.seas.gwu.edu_Publications_gritzdissert.ps.gz http://www.icg.seas.gwu.edu/Publications/gritzdissert.ps.gz
Grochol:2015:evoApplications A Fast FPGA-Based Classification of Application Protocols Optimized Using Cartesian GP
DavidGrochol.html
LukasSekanina.html
MartinZadnik.html
JanKorenek.html
http___dx.doi.org_10_10.1007_978-3-319-16549-3_6 http://dx.doi.org/10:10.1007/978-3-319-16549-3_6
Grochol:2016:ASC Evolutionary circuit design for fast FPGA-based classification of network application protocols
DavidGrochol.html
LukasSekanina.html
MartinZadnik.html
JanKorenek.html
VKosar.html
http___dx.doi.org_10.1016_j.asoc.2015.09.046 http://dx.doi.org/10.1016/j.asoc.2015.09.046
http___www.sciencedirect.com_science_article_pii_S1568494615006262 http://www.sciencedirect.com/science/article/pii/S1568494615006262
Grochol2017 Comparison of Parallel Linear Genetic Programming Implementations
DavidGrochol.html
LukasSekanina.html
http___dx.doi.org_10.1007_978-3-319-58088-3_7 http://dx.doi.org/10.1007/978-3-319-58088-3_7
Grochol:2016:GECCO Evolutionary Design of Fast High-quality Hash Functions for Network Applications
DavidGrochol.html
LukasSekanina.html
http___dx.doi.org_10.1145_2908812.2908825 http://dx.doi.org/10.1145/2908812.2908825
grochol:2017:CEC Multi-objective evolution of hash functions for high speed networks
DavidGrochol.html
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http___dx.doi.org_10.1109_CEC.2017.7969485 http://dx.doi.org/10.1109/CEC.2017.7969485
Grochol:2018:EuroGP Multi-Objective Evolution of Ultra-Fast General-Purpose Hash Functions
DavidGrochol.html
LukasSekanina.html
http___dx.doi.org_10.1007_978-3-319-77553-1_12 http://dx.doi.org/10.1007/978-3-319-77553-1_12
Grochol:2018:AHS Fast Reconfigurable Hash Functions for Network Flow Hashing in FPGAs
DavidGrochol.html
LukasSekanina.html
http___dx.doi.org_10.1109_AHS.2018.8541401 http://dx.doi.org/10.1109/AHS.2018.8541401
Grochol:thesis Evolutionary design and optimization of components used in high-speed computer networks
DavidGrochol.html
http___hdl.handle.net_11012_188162 http://hdl.handle.net/11012/188162
https___invenio.nusl.cz_record_412930 https://invenio.nusl.cz/record/412930
https___www.vut.cz_www_base_zav_prace_soubor_verejne.php_file_id_206467 https://www.vut.cz/www_base/zav_prace_soubor_verejne.php?file_id=206467
Grochol:2020:CEC Evolutionary Design of Hash Functions for IPv6 Network Flow Hashing
DavidGrochol.html
LukasSekanina.html
http___dx.doi.org_10.1109_CEC48606.2020.9185723 http://dx.doi.org/10.1109/CEC48606.2020.9185723
DBLP:conf/mfcs/Gronemeier04 Approximating Boolean Functions by OBDDs
AndreGronemeier.html
http___ls2-www.cs.uni-dortmund.de__gronemeier_publications_obdd-approx-mfcs.pdf http://ls2-www.cs.uni-dortmund.de/~gronemeier/publications/obdd-approx-mfcs.pdf
http___dx.doi.org_10.1007_978-3-540-28629-5_17 http://dx.doi.org/10.1007/978-3-540-28629-5_17
Gronemeier:2007:DAM Approximating Boolean functions by OBDD
AndreGronemeier.html
http___dx.doi.org_10.1016_j.dam.2006.04.037 http://dx.doi.org/10.1016/j.dam.2006.04.037
gros:2003:GENN Genetic Evolution of Neural Networks
Charles-HenriGros.html
http___www.genetic-programming.org_sp2003_Gros.pdf http://www.genetic-programming.org/sp2003/Gros.pdf
conf/iwinac/GrosanAH05 MEPIDS: Multi-Expression Programming for Intrusion Detection System
CrinaGrosan.html
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SangYongHan.html
http___www.cs.ubbcluj.ro__cgrosan_iwinac05.pdf http://www.cs.ubbcluj.ro/~cgrosan/iwinac05.pdf
http___dx.doi.org_10.1007_11499305_17 http://dx.doi.org/10.1007/11499305_17
grosan-stock Stock Market Prediction Using Multi Expression Programming
CrinaGrosan.html
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VitorinoJCasteloRamos.html
SangYongHan.html
http___www.cs.ubbcluj.ro__cgrosan_alea.pdf http://www.cs.ubbcluj.ro/~cgrosan/alea.pdf
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http___dx.doi.org_10.1109_EPIA.2005.341268 http://dx.doi.org/10.1109/EPIA.2005.341268
grosan:2005:HIS Ensemble of genetic programming models for designing reactive power controllers
CrinaGrosan.html
AjithAbraham.html
http___dx.doi.org_10.1109_ICHIS.2005.36 http://dx.doi.org/10.1109/ICHIS.2005.36
grosan:2006:GSP Stock Market Modeling Using Genetic Programming Ensembles
CrinaGrosan.html
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http___www.cs.ubbcluj.ro__cgrosan_stock-chapter.pdf http://www.cs.ubbcluj.ro/~cgrosan/stock-chapter.pdf
http___dx.doi.org_10.1007_3-540-32498-4_6 http://dx.doi.org/10.1007/3-540-32498-4_6
Grosman2001663 MPC using nonlinear models generated by genetic programming
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http___dx.doi.org_10.1016_S1570-7946_01_80105-X http://dx.doi.org/10.1016/S1570-7946(01)80105-X
http___www.sciencedirect.com_science_article_B8G5G-4P40D5J-3R_2_96212e409c54e5c4c1781f7f1780816e http://www.sciencedirect.com/science/article/B8G5G-4P40D5J-3R/2/96212e409c54e5c4c1781f7f1780816e
Grosman:2002:CCE Automated nonlinear model predictive control using genetic programming
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http___www.sciencedirect.com_science_article_B6TFT-44YWM6B-B_2_b0dbb5bfa3d6c3d92f1904e01e559d3f http://www.sciencedirect.com/science/article/B6TFT-44YWM6B-B/2/b0dbb5bfa3d6c3d92f1904e01e559d3f
http___dx.doi.org_10.1016_S0098-1354_01_00780-3 http://dx.doi.org/10.1016/S0098-1354(01)00780-3
Grosman:2004:CCE Adaptive genetic programming for steady-state process modeling
BenyaminGrosman.html
DanielRLewin.html
http___www.sciencedirect.com_science_article_B6TFT-4DMW22F-1_2_3e0d065d49ca47901dac832951154da0 http://www.sciencedirect.com/science/article/B6TFT-4DMW22F-1/2/3e0d065d49ca47901dac832951154da0
http___dx.doi.org_10.1016_j.compchemeng.2004.09.001 http://dx.doi.org/10.1016/j.compchemeng.2004.09.001
Grosman:2005:tSM Yield enhancement in photolithography through model-based process control: average mode control
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RaayaSwissa.html
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http___dx.doi.org_10.1109_TSM.2004.836654 http://dx.doi.org/10.1109/TSM.2004.836654
Grosman:2006:iscacsd Lyapunov-based Stability Analysis Automated by Genetic Programming
BenyaminGrosman.html
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http___dx.doi.org_10.1109_CACSD.2006.285474 http://dx.doi.org/10.1109/CACSD.2006.285474
Grosman:thesis Stability Analysis of Nonlinear Control Systems Using Genetic Programming
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http___www.graduate.technion.ac.il_Theses_Abstracts.asp_Id_24203 http://www.graduate.technion.ac.il/Theses/Abstracts.asp?Id=24203
Grosman2009252 Lyapunov-based stability analysis automated by genetic programming
BenyaminGrosman.html
DanielRLewin.html
http___dx.doi.org_10.1016_j.automatica.2008.07.014 http://dx.doi.org/10.1016/j.automatica.2008.07.014
http___www.sciencedirect.com_science_article_B6V21-4V402MR-3_2_500948c7466e5824a72a3930c046e8aa http://www.sciencedirect.com/science/article/B6V21-4V402MR-3/2/500948c7466e5824a72a3930c046e8aa
gross:2002:gecco Evolving Chess Playing Programs
RoderichGross.html
KenoAlbrecht.html
WolfgangKantschik.html
WolfgangBanzhaf.html
http___gpbib.cs.ucl.ac.uk_gecco2002_GP121.ps http://gpbib.cs.ucl.ac.uk/gecco2002/GP121.ps
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http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_gecco2002_gecco-2002-14.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/gecco2002/gecco-2002-14.pdf
Grossi:2017:CIG Evolved communication strategies and emergent behaviour of multi-agents in pursuit domains
GinaGrossi.html
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http___www.cig2017.com_wp-content_uploads_2017_08_paper_1.pdf http://www.cig2017.com/wp-content/uploads/2017/08/paper_1.pdf
http___dx.doi.org_10.1109_CIG.2017.8080423 http://dx.doi.org/10.1109/CIG.2017.8080423
Grouchy:2014:ALIFE Evolving Autonomous Agent Controllers as Analytical Mathematical Models
PaulGrouchy.html
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https___www.mitpressjournals.org_doi_pdfplus_10.1162_978-0-262-32621-6-ch108 https://www.mitpressjournals.org/doi/pdfplus/10.1162/978-0-262-32621-6-ch108
http___dx.doi.org_10.7551_978-0-262-32621-6-ch108 http://dx.doi.org/10.7551/978-0-262-32621-6-ch108
grouchy2014evolvable Evolvable mathematical models: A new artificial Intelligence paradigm
PaulGrouchy.html
http___hdl.handle.net_1807_68193 http://hdl.handle.net/1807/68193
https___tspace.library.utoronto.ca_handle_1807_68193 https://tspace.library.utoronto.ca/handle/1807/68193
https___tspace.library.utoronto.ca_bitstream_1807_68193_1_Grouchy_Paul_201411_PhD_thesis.pdf https://tspace.library.utoronto.ca/bitstream/1807/68193/1/Grouchy_Paul_201411_PhD_thesis.pdf
grouchy2016evolutionary On The Evolutionary Origin of Symbolic Communication
PaulGrouchy.html
GabrieleMTD'Eleuterio.html
MortenHChristiansen.html
HodLipson.html
http___dx.doi.org_10.1038_srep34615 http://dx.doi.org/10.1038/srep34615
Gruau:1992:cegNN Cellular encoding of Genetic Neural Networks
FredericGruau.html
icga93:gruau Genetic Synthesis of Modular Neural Networks
FredericGruau.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_icga93_gruau.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/icga93_gruau.pdf
http___dl.acm.org_citation.cfm_id_645513.657409 http://dl.acm.org/citation.cfm?id=645513.657409
Gruau:1994:thesis Neural Network Synthesis using Cellular Encoding and the Genetic Algorithm
FredericGruau.html
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ftp___ftp.ens-lyon.fr_pub_LIP_Rapports_PhD_PhD1994_PhD1994-01-F.ps.Z ftp://ftp.ens-lyon.fr/pub/LIP/Rapports/PhD/PhD1994/PhD1994-01-F.ps.Z
kinnear:gruau Genetic micro programming of Neural Networks
FredericGruau.html
http___www.amazon.co.uk_Advances-Genetic-Programming-Complex-Adaptive_dp_0262111888 http://www.amazon.co.uk/Advances-Genetic-Programming-Complex-Adaptive/dp/0262111888
http___cognet.mit.edu_sites_default_files_books_9780262277181_pdfs_9780262277181_chap24.pdf http://cognet.mit.edu/sites/default/files/books/9780262277181/pdfs/9780262277181_chap24.pdf
http___dx.doi.org_10.7551_mitpress_1108.003.0030 http://dx.doi.org/10.7551/mitpress/1108.003.0030
Gruau:1993:ceNNile The cellular development of neural networks: The interaction of learning and evolution
FredericGruau.html
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Gruau:1993:alcdp Adding learning to the cellular development process: a comparative study
FredericGruau.html
LDarrellWhitley.html
http___dx.doi.org_10.1162_evco.1993.1.3.213 http://dx.doi.org/10.1162/evco.1993.1.3.213
DBLP:journals/tcs/GruauRW95 A Neural Compiler
FredericGruau.html
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GillesWiber.html
https___dblp.org_rec_journals_tcs_GruauRW95.bib https://dblp.org/rec/journals/tcs/GruauRW95.bib
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https___doi.org_10.1016_0304-3975_94_00200-3 https://doi.org/10.1016/0304-3975(94)00200-3
http___dx.doi.org_10.1016_0304-3975_94_00200-3 http://dx.doi.org/10.1016/0304-3975(94)00200-3
gruau:1995:admnn Automatic Definition of Modular Neural Networks
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http___coblitz.codeen.org_3125_citeseer.ist.psu.edu_cache_papers_cs_654_http_zSzzSzwww.cwi.nlzSz_gruauzSzgruauzSzAB.pdf_gruau95automatic.pdf http://coblitz.codeen.org:3125/citeseer.ist.psu.edu/cache/papers/cs/654/http:zSzzSzwww.cwi.nlzSz~gruauzSzgruauzSzAB.pdf/gruau95automatic.pdf
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http___dx.doi.org_10.1177_105971239400300202 http://dx.doi.org/10.1177/105971239400300202
gruau:1996:aigp2 On Using Syntactic Constraints with Genetic Programming
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http___ieeexplore.ieee.org_xpl_articleDetails.jsp_tp__arnumber_6277529 http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6277529
http___dx.doi.org_10.7551_mitpress_1109.003.0025 http://dx.doi.org/10.7551/mitpress/1109.003.0025
gruau:1996:ceVdeGNN A Comparison between Cellular Encoding and Direct Encoding for Genetic Neural Networks
FredericGruau.html
LDarrellWhitley.html
LarryDPyeatt.html
http___www.cs.colostate.edu__genitor_1996_gp96.ps.gz http://www.cs.colostate.edu/~genitor/1996/gp96.ps.gz
http___cognet.mit.edu_sites_default_files_books_9780262315876_pdfs_9780262315876_chap10.pdf http://cognet.mit.edu/sites/default/files/books/9780262315876/pdfs/9780262315876_chap10.pdf
http___cognet.mit.edu_library_books_view_isbn_0262611279 http://cognet.mit.edu/library/books/view?isbn=0262611279
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FredericGruau.html
KameelQuatramaran.html
ftp___ftp.cogs.susx.ac.uk_pub_reports_csrp_csrp425.ps.Z ftp://ftp.cogs.susx.ac.uk/pub/reports/csrp/csrp425.ps.Z
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FredericGruau.html
http___dx.doi.org_10.1007_3-540-61108-8_39 http://dx.doi.org/10.1007/3-540-61108-8_39
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YvesLhuillier.html
PhilippeReitz.html
OlivierTemam.html
http___blob.lri.fr_ http://blob.lri.fr/
http___blob.lri.fr_publication_2004-model-blob-machine.pdf http://blob.lri.fr/publication/2004-model-blob-machine.pdf
http___dx.doi.org_10.1145_977091.977111 http://dx.doi.org/10.1145/977091.977111
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SorenGrubov.html
RasmusHartvig.html
http___www2.imm.dtu.dk_pubdb_p.php_3650 http://www2.imm.dtu.dk/pubdb/p.php?3650
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GerdGruenert.html
https___www.db-thueringen.de_servlets_MCRFileNodeServlet_dbt_derivate_00038109_thesis.pdf https://www.db-thueringen.de/servlets/MCRFileNodeServlet/dbt_derivate_00038109/thesis.pdf
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SabineGrunwald.html
http___dx.doi.org_10.1016_j.geoderma.2009.06.003 http://dx.doi.org/10.1016/j.geoderma.2009.06.003
http___www.sciencedirect.com_science_article_B6V67-4WSG2WJ-1_2_af92060815439203d2999e4ace2ae786 http://www.sciencedirect.com/science/article/B6V67-4WSG2WJ-1/2/af92060815439203d2999e4ace2ae786
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WenbinGu.html
YuxinLi.html
DunbingTang.html
XianliangWang.html
MinghaiYuan.html
http___dx.doi.org_10.1016_j.cie.2022.108406 http://dx.doi.org/10.1016/j.cie.2022.108406
https___www.sciencedirect.com_science_article_pii_S0360835222004466 https://www.sciencedirect.com/science/article/pii/S0360835222004466
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YunqingGu.html
ShingoMabu.html
YangYang.html
JianhuaLi.html
KotaroHirasawa.html
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DarrenJHughes.html
JianqiaoYe.html
XiaonanHou.html
http___dx.doi.org_10.1016_j.compositesb.2021.108894 http://dx.doi.org/10.1016/j.compositesb.2021.108894
https___www.sciencedirect.com_science_article_pii_S1359836821002857 https://www.sciencedirect.com/science/article/pii/S1359836821002857
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ZewenGu.html
https___eprints.lancs.ac.uk_id_eprint_164746_1_2022zewenphd.pdf https://eprints.lancs.ac.uk/id/eprint/164746/1/2022zewenphd.pdf
https___www.proquest.com_openview_a617ff64b19c588f765378db1149dc2e_1 https://www.proquest.com/openview/a617ff64b19c588f765378db1149dc2e/1
http___dx.doi.org_10.17635_lancaster_thesis_1531 http://dx.doi.org/10.17635/lancaster/thesis/1531
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JoseGuadalupeHernandez.html
AlexanderLalejini.html
CharlesOfria.html
http___dx.doi.org_10.1007_978-981-16-8113-4_5 http://dx.doi.org/10.1007/978-981-16-8113-4_5
Gualda:2013:IPIN RSSI distance estimation based on Genetic Programming
DavidGualdaGomez.html
JesusUrenaUrena.html
JuanCarlosGarciaGarcia.html
EnriqueGarcia.html
FranciscoDanielRuizPereda.html
http___dx.doi.org_10.1109_IPIN.2013.6817881 http://dx.doi.org/10.1109/IPIN.2013.6817881
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PoorvaGubrele.html
RituPrasad.html
PraneetSaurabh.html
BhupendraVerma.html
http___dx.doi.org_10.1109_CSNT.2017.8418528 http://dx.doi.org/10.1109/CSNT.2017.8418528
Guermeur:2003:ICRODIC An evolutionary algorithm for camera calibration
PhilippeGuermeur.html
JeanLouchet.html
https___pdfs.semanticscholar.org_bd7a_f3af16513d6470e4a648192b309d97bfef7e.pdf https://pdfs.semanticscholar.org/bd7a/f3af16513d6470e4a648192b309d97bfef7e.pdf
Guerrero-Enamorado:2016:IJCIS An Algorithm Evaluation for Discovering Classification Rules with Gene Expression Programming
AlainGuerrero-Enamorado.html
CarlosMorell.html
AminYousefMohammadNoaman.html
SebastianVentura.html
http___dx.doi.org_10.1080_18756891.2016.1150000 http://dx.doi.org/10.1080/18756891.2016.1150000
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AlainGuerrero-Enamorado.html
CarlosMorell.html
SebastianVentura.html
https___www.atlantis-press.com_journals_ijcis_25891989 https://www.atlantis-press.com/journals/ijcis/25891989
http___dx.doi.org_10.2991_ijcis.11.1.40 http://dx.doi.org/10.2991/ijcis.11.1.40
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VeronicaGuidetti.html
GiovanniDolci.html
EricaFranceschini.html
EricaBacca.html
GiuliaJoleBurastero.html
DavideFerrari.html
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FabrizioDiBenedetto.html
CristinaMussini.html
FedericaMandreoli.html
http___dx.doi.org_10.1109_DSAA60987.2023.10302622 http://dx.doi.org/10.1109/DSAA60987.2023.10302622
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GiovaniGuizzo.html
https___evolution.sigevo.org_issues_SIGEVOlution1204.pdf https://evolution.sigevo.org/issues/SIGEVOlution1204.pdf
http___dx.doi.org_10.1145_3386047.3386050 http://dx.doi.org/10.1145/3386047.3386050
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SilviaReginaVergilio.html
http___dx.doi.org_10.1109_TSE.2020.3002496 http://dx.doi.org/10.1109/TSE.2020.3002496
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GiovaniGuizzo.html
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FedericaSarro.html
MarkHarman.html
https___bit.ly_Guizzo-ICSE-2021 https://bit.ly/Guizzo-ICSE-2021
https___conf.researchr.org_details_icse-2021_icse-2021-papers_6_Enhancing-Genetic-Improvement-of-Software-with-Regression-Test-Selection https://conf.researchr.org/details/icse-2021/icse-2021-papers/6/Enhancing-Genetic-Improvement-of-Software-with-Regression-Test-Selection
https___discovery.ucl.ac.uk_id_eprint_10120263_1_Petke_correctedICSE21Guizzo.pdf https://discovery.ucl.ac.uk/id/eprint/10120263/1/Petke_correctedICSE21Guizzo.pdf
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http___dx.doi.org_10.1109_ICSE43902.2021.00120 http://dx.doi.org/10.1109/ICSE43902.2021.00120
https___www.youtube.com_watch_v_4cxbTB8yF_M https://www.youtube.com/watch?v=4cxbTB8yF_M
https___doi.org_10.5522_04_12890792 https://doi.org/10.5522/04/12890792
Guizzo:2021:ICSEcomp Artifact for Enhancing Genetic Improvement of Software with Regression Test Selection
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JustynaPetke.html
FedericaSarro.html
MarkHarman.html
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http___dx.doi.org_10.1109_ICSE-Companion52605.2021.00099 http://dx.doi.org/10.1109/ICSE-Companion52605.2021.00099
Guizzo:2021:SSBSE Refining Fitness Functions for Search-Based Automated Program Repair: A Case Study with ARJA and ARJA-e
GiovaniGuizzo.html
AymericBlot.html
JamesCallan.html
JustynaPetke.html
FedericaSarro.html
https___discovery.ucl.ac.uk_id_eprint_10131848_ https://discovery.ucl.ac.uk/id/eprint/10131848/
http___dx.doi.org_10.1007_978-3-030-88106-1_12 http://dx.doi.org/10.1007/978-3-030-88106-1_12
https___www.youtube.com_watch_v_lcpYTv1TaE8 https://www.youtube.com/watch?v=lcpYTv1TaE8
https___figshare.com_s_35ea3fd819e737ed806b https://figshare.com/s/35ea3fd819e737ed806b
Gulic:2013:MIPRO Evolution of vehicle routing problem heuristics with genetic programming
MatijaGulic.html
DomagojJakobovic.html
http___ieeexplore.ieee.org_xpl_articleDetails.jsp_tp__arnumber_6596400 http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6596400
Gulic:thesis Parallelization of vehicle routing algorithms by using database with domain-specific embedded functions
MatijaGulic.html
https___urn.nsk.hr_urn_nbn_hr_168_300689 https://urn.nsk.hr/urn:nbn:hr:168:300689
Gulisano:2024:evoapplications Evolutionary Computation Meets Stream Processing
VincenzoGulisano.html
EricMedvet.html
https___rdcu.be_dDZXz https://rdcu.be/dDZXz
http___dx.doi.org_10.1007_978-3-031-56852-7_24 http://dx.doi.org/10.1007/978-3-031-56852-7_24
Gulowaty:2022:IJCNN Search-based framework for transparent non-overlapping ensemble models
BogdanGulowaty.html
Micha_Wo_niak.html
http___dx.doi.org_10.1109_IJCNN55064.2022.9892360 http://dx.doi.org/10.1109/IJCNN55064.2022.9892360
ppdp10-synthesis Dimensions in Program Synthesis
SumitGulwani.html
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http___dx.doi.org_10.1145_1836089.1836091 http://dx.doi.org/10.1145/1836089.1836091
Gulwani:2012:CACM Spreadsheet Data Manipulation Using Examples
SumitGulwani.html
WilliamRHarris.html
RishabhSingh.html
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http___doi.acm.org_10.1145_2240236.2240260 http://doi.acm.org/10.1145/2240236.2240260
http___dx.doi.org_10.1145_2240236.2240260 http://dx.doi.org/10.1145/2240236.2240260
Gunaratne:2017:GECCO Alternate Social Theory Discovery Using Genetic Programming: Towards Better Understanding the Artificial Anasazi
ChathikaSGunaratne.html
IvanGaribay.html
http___doi.acm.org_10.1145_3071178.3071332 http://doi.acm.org/10.1145/3071178.3071332
http___dx.doi.org_10.1145_3071178.3071332 http://dx.doi.org/10.1145/3071178.3071332
gunaratne:thesis Evolutionary Model Discovery: Automating Causal Inference for Generative Models of Human Social Behavior
ChathikaSGunaratne.html
https___stars.library.ucf.edu_etd_6871_ https://stars.library.ucf.edu/etd/6871/
https___stars.library.ucf.edu_cgi_viewcontent.cgi_article_7871_context_etd https://stars.library.ucf.edu/cgi/viewcontent.cgi?article=7871&context=etd
gunaratne:2022:GECCOcomp Genetic Programming for Understanding Cognitive Biases that Generate Polarization in Social Networks
ChathikaSGunaratne.html
RobertMPatton.html
http___dx.doi.org_10.1145_3520304.3529069 http://dx.doi.org/10.1145/3520304.3529069
Gunnersen:2012:CEC Towards Objective Data Selection in Bankruptcy Prediction
SverreGunnersen.html
KateSmith-Miles.html
VincentLee.html
http___dx.doi.org_10.1109_CEC.2012.6256129 http://dx.doi.org/10.1109/CEC.2012.6256129
journals/tsmc/GuoJN05 Feature generation using genetic programming with application to fault classification
HongGuo.html
LindsayBJack.html
AsokeKNandi.html
http___dx.doi.org_10.1109_TSMCB.2004.841426 http://dx.doi.org/10.1109/TSMCB.2004.841426
GN:PR:06 Breast cancer diagnosis using genetic programming generated feature
HongGuo.html
AsokeKNandi.html
http___dx.doi.org_10.1016_j.patcog.2005.10.001 http://dx.doi.org/10.1016/j.patcog.2005.10.001
conf/biostec/GuoZN08 Breast Cancer Detection using Genetic Programming
HongGuo.html
QingZhang.html
AsokeKNandi.html
https___www2.lirmm.fr_lirmm_interne_BIBLI_CDROM_MIC_2008_BIOSTEC_2008_BIOSTEC_202008_Biosignals_Volume_202_Short_20Papers_C1_094_Nandi.pdf https://www2.lirmm.fr/lirmm/interne/BIBLI/CDROM/MIC/2008/BIOSTEC_2008/BIOSTEC%202008/Biosignals/Volume%202/Short%20Papers/C1_094_Nandi.pdf
Guo:thesis Feature generation and dimensionality reduction using genetic programming
HongGuo.html
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guo:2019:SEMED Multi-gene Genetic Programming Based Defect-Ranking Software Modules
JunxiaGuo.html
YingyingDuan.html
YingShang.html
http___link.springer.com_chapter_10.1007_978-981-15-0310-8_4 http://link.springer.com/chapter/10.1007/978-981-15-0310-8_4
http___dx.doi.org_10.1007_978-981-15-0310-8_4 http://dx.doi.org/10.1007/978-981-15-0310-8_4
GUO:2023:ijmecsci Bandgaps in functionally graded phononic crystals containing graphene origami-enabled metamaterials
LiangtengGuo.html
ShaoyuZhao.html
YongqiangGuo.html
JieYang.html
SritawatKitipornchai.html
http___dx.doi.org_10.1016_j.ijmecsci.2022.107956 http://dx.doi.org/10.1016/j.ijmecsci.2022.107956
https___www.sciencedirect.com_science_article_pii_S0020740322008347 https://www.sciencedirect.com/science/article/pii/S0020740322008347
LingGuo:thesis Soft Computing Techniques for Advanced Epileptic EEG Analysis and Classification
LingGuo.html
https___dialnet.unirioja.es_servlet_tesis_codigo_43887 https://dialnet.unirioja.es/servlet/tesis?codigo=43887
Guo201110425 Automatic feature extraction using genetic programming: An application to epileptic EEG classification
LingGuo.html
DanielRiveroCebrian.html
JulianDorado.html
CristianRMunteanu.html
AlejandroPazosSierra.html
http___dx.doi.org_10.1016_j.eswa.2011.02.118 http://dx.doi.org/10.1016/j.eswa.2011.02.118
DBLP:conf/gecco/GuoB09 An evolutionary approach to feature function generation in application to biomedical image patterns
PeiFangGuo.html
PrabirBhattacharya.html
http___dx.doi.org_10.1145_1569901.1570216 http://dx.doi.org/10.1145/1569901.1570216
Guo:2009:SMC An efficient image pattern recognition system using an evolutionary search strategy
PeiFangGuo.html
PrabirBhattacharya.html
NawwafKharma.html
http___dx.doi.org_10.1109_ICSMC.2009.5346614 http://dx.doi.org/10.1109/ICSMC.2009.5346614
Guo:2010:CCECE Automated synthesis of feature functions for pattern detection
PeiFangGuo.html
PrabirBhattacharya.html
NawwafKharma.html
http___dx.doi.org_10.1109_CCECE.2010.5575224 http://dx.doi.org/10.1109/CCECE.2010.5575224
PeiFang_Guo:thesis A Gaussian mixture-based approach to synthesizing nonlinear feature functions for automated object detection
PeiFangGuo.html
http___spectrum.library.concordia.ca_979537_ http://spectrum.library.concordia.ca/979537/
http___spectrum.library.concordia.ca_979537_1_NR67351.pdf http://spectrum.library.concordia.ca/979537/1/NR67351.pdf
https___www.genealogy.math.ndsu.nodak.edu_id.php_id_147057 https://www.genealogy.math.ndsu.nodak.edu/id.php?id=147057
Guo:2013:EAAI Detection of protein conformation defects from fluorescence microscopy images
PeiFangGuo.html
PrabirBhattacharya.html
http___dx.doi.org_10.1016_j.engappai.2013.05.007 http://dx.doi.org/10.1016/j.engappai.2013.05.007
http___www.sciencedirect.com_science_article_pii_S0952197613000948 http://www.sciencedirect.com/science/article/pii/S0952197613000948
Guo:2018:ICCCAS The Research on Evolutionary Hardware Evolution Algorithm for Stall Effect
Zhen-xingGuo.html
Li-zhiXu.html
Xue-junSong.html
Chong-cunLi.html
RuoyiLi.html
http___dx.doi.org_10.1109_ICCCAS.2018.8768921 http://dx.doi.org/10.1109/ICCCAS.2018.8768921
conf/icist/GuogisM14 Comparison of Genetic Programming, Grammatical Evolution and Gene Expression Programming Techniques
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AlfonsasMisevicius.html
http___dx.doi.org_10.1007_978-3-319-11958-8 http://dx.doi.org/10.1007/978-3-319-11958-8
gupt:2022:GECCOcomp PreDive: Preserving Diversity in Test Cases for Evolving Digital Circuits using Grammatical Evolution
KrishnGupt.html
MeghanaKshirsagar.html
LukasRosenbauer.html
JoeSullivan.html
DouglasMotaDias.html
ConorRyan.html
http___dx.doi.org_10.1145_3520304.3529006 http://dx.doi.org/10.1145/3520304.3529006
gupta:2000:CGGUGP Context-Free Grammar Generation Using Genetic Programming
BinodGupta.html
Gupta:2012:IJCSIS Data Mining Techniques: A Key for detection of Financial Statement Fraud
RajanGupta.html
NasibSinghGill.html
https___sites.google.com_site_ijcsis_vol-10-no-3-mar-2012 https://sites.google.com/site/ijcsis/vol-10-no-3-mar-2012
GuptaR08 Using Genetic Algorithm for Unit Testing of Object Oriented Software
NirmalKumarGupta.html
MukeshKumarRohil.html
http___dx.doi.org_10.1109_ICETET.2008.137 http://dx.doi.org/10.1109/ICETET.2008.137
DBLP:journals/evs/GuptaK20 An aggregation approach to multi-criteria recommender system using genetic programming
ShwetaGupta.html
VibhorKant.html
https___doi.org_10.1007_s12530-019-09296-3 https://doi.org/10.1007/s12530-019-09296-3
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Gupta:2020:ICCES A Comparative Analysis of Genetic Programming and Genetic Algorithm on Multi-Criteria Recommender Systems
ShwetaGupta.html
VibhorKant.html
http___dx.doi.org_10.1109_ICCES48766.2020.9138051 http://dx.doi.org/10.1109/ICCES48766.2020.9138051
Gupta:2022:CCPE A model-based approach to user preference discovery in multi-criteria recommender system using genetic programming
ShwetaGupta.html
VibhorKant.html
https___onlinelibrary.wiley.com_doi_abs_10.1002_cpe.6899 https://onlinelibrary.wiley.com/doi/abs/10.1002/cpe.6899
http___dx.doi.org_10.1002_cpe.6899 http://dx.doi.org/10.1002/cpe.6899
Gures2012 Application of artificial neural networks (ANNs) and genetic programming (GP) for prediction of drug release from solid lipid matrices
SinanGures.html
AleksanderMendyk.html
RenataJachowicz.html
PrzemyslawDorozynski.html
PeterKleinebudde.html
http___dx.doi.org_10.1016_j.ijpharm.2012.05.021 http://dx.doi.org/10.1016/j.ijpharm.2012.05.021
http___www.sciencedirect.com_science_article_pii_S0378517312005054 http://www.sciencedirect.com/science/article/pii/S0378517312005054
Gures:thesis Experimentelle Untersuchungen und mathematisch-theoretische Vorhersagen des Freisetzungsverhaltens aus extrudierten Fettmatrices
SinanGures.html
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Guruprasad:2023:ACCESS Parallel Model to Detect Attacks Using Evolutionary Based Technique
SunithaGp.html
RioD'SouzaGL.html
http___dx.doi.org_10.1109_ACCESS57397.2023.10200912 http://dx.doi.org/10.1109/ACCESS57397.2023.10200912
Gusel:2005:MT Genetic modeling of electrical conductivity of formed material
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MiranBrezocnik.html
http___www.imt.si_materiali-tehnologije_ http://www.imt.si/materiali-tehnologije/
http___ctklj.ctk.uni-lj.si_kovine_izvodi_mit054_gusel.pdf http://ctklj.ctk.uni-lj.si/kovine/izvodi/mit054/gusel.pdf
Gusel:2006:CMS Modeling of impact toughness of cold formed material by genetic programming
LeoGusel.html
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http___dx.doi.org_10.1016_j.commatsci.2005.11.007 http://dx.doi.org/10.1016/j.commatsci.2005.11.007
Gusel201115014 Application of genetic programming for modelling of material characteristics
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gustafson:2000:GAK Genetic programming for strategy learning in soccer playing agents: A KDD-based architecture
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gustafson:2001:EuroGP Layered Learning in Genetic Programming for a Co-operative Robot Soccer Problem
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gustafson:mastersthesis Layered learning in genetic programming for a co-operative robot soccer problem
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gustafson:2002:EuroGP A Puzzle to Challenge Genetic Programming
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gustafson:2003:iidigpbaaoteop Is increased diversity in genetic programming beneficial? An analysis of the effects on performance
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gustafson:2004:eurogp Sampling of Unique Structures and Behaviours in Genetic Programming
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gustafson:2004:phdthesis An Analysis of Diversity in Genetic Programming
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gustafson:2004:GPEM Problem Difficulty and Code Growth in Genetic Programming
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gustafson:2004:IEEE Diversity in Genetic Programming: An Analysis of Measures and Correlation with Fitness
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eurogp:GustafsonV05 Operator-Based Distance for Genetic Programming: Subtree Crossover Distance
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eurogp:GustafsonBK05 The Tree-String Problem: An Artificial Domain for Structure and Content Search
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gustafson:2005:CEC On Improving Genetic Programming for Symbolic Regression
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Gustafson:2006:JPDC The Speciating Island Model: An alternative parallel evolutionary algorithm
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Gustafson:2008:TEC Crossover-Based Tree Distance in Genetic Programming
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Gustafson:2012:ieeeCIM Evolved to Win
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Gustafson:2015:GPTP Using Genetic Programming for Data Science: Lessons Learned
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AishaYousuf.html
http___www.springer.com_us_book_9783319342214 http://www.springer.com/us/book/9783319342214
http___dx.doi.org_10.1007_978-3-319-34223-8_7 http://dx.doi.org/10.1007/978-3-319-34223-8_7
Gustafson:2016:GPTP Assisting Asset Model Development with Evolutionary Augmentation
StevenMGustafson.html
ArunSubramaniyan.html
AishaYousuf.html
http___ico2s.org_seminars_2016-07-26-sg.html http://ico2s.org/seminars/2016-07-26-sg.html
https___www.springer.com_us_book_9783319970875 https://www.springer.com/us/book/9783319970875
http___dx.doi.org_10.1007_978-3-319-97088-2_13 http://dx.doi.org/10.1007/978-3-319-97088-2_13
Gutierrez-Reina:2018:sensors Dissimilarity Metric Based on Local Neighboring Information and Genetic Programming for Data Dissemination in Vehicular Ad Hoc Networks (VANETs)
DanielGutierrez-Reina.html
VishalSharma.html
IlsunYou.html
SergioLToralMarin.html
https___www.mdpi.com_1424-8220_18_7_2320 https://www.mdpi.com/1424-8220/18/7/2320
https___www.mdpi.com_1424-8220_18_7_2320_htm https://www.mdpi.com/1424-8220/18/7/2320/htm
https___www.mdpi.com_1424-8220_18_7_2320_pdf https://www.mdpi.com/1424-8220/18/7/2320/pdf
http___dx.doi.org_10.3390_s18072320 http://dx.doi.org/10.3390/s18072320
Guven:2008:JIDE Genetic Programming Approach for Prediction of Local Scour Downstream of Hydraulic Structures
AytacGuven.html
MustafaGunal.html
http___dx.doi.org_10.1061__ASCE_0733-9437_2008_134_2_241_ http://dx.doi.org/10.1061/(ASCE)0733-9437(2008)134:2(241)
Guven:2008:clean Genetic Programming-Based Empirical Model for Daily Reference Evapotranspiration Estimation
AytacGuven.html
AliAytek.html
MIshakYuce.html
HafzullahAksoy.html
http___dx.doi.org_10.1002_clen.200800009 http://dx.doi.org/10.1002/clen.200800009
Guven:2009:JESS Linear genetic programming for time-series modelling of daily flow rate
AytacGuven.html
http___www.ias.ac.in_jess_apr2009_137.pdf http://www.ias.ac.in/jess/apr2009/137.pdf
Guven:2009:JHE New Approach for Stage-Discharge Relationship: Gene-Expression Programming
AytacGuven.html
AliAytek.html
http___dx.doi.org_10.1061__ASCE_HE.1943-5584.0000044 http://dx.doi.org/10.1061/(ASCE)HE.1943-5584.0000044
Guven2009985 Linear genetic programming for prediction of circular pile scour
AytacGuven.html
HaziMohammadAzamathulla.html
NorAzaziZakaria.html
http___dx.doi.org_10.1016_j.oceaneng.2009.05.010 http://dx.doi.org/10.1016/j.oceaneng.2009.05.010
http___www.sciencedirect.com_science_article_B6V4F-4WCTX10-3_2_805df81deb25d8c99465f876a03fc1e5 http://www.sciencedirect.com/science/article/B6V4F-4WCTX10-3/2/805df81deb25d8c99465f876a03fc1e5
Guven:2011:WRM Estimation of Suspended Sediment Yield in Natural Rivers Using Machine-coded Linear Genetic Programming
AytacGuven.html
OzgurKisi.html
http___dx.doi.org_10.1007_s11269-010-9721-x http://dx.doi.org/10.1007/s11269-010-9721-x
Guven:2011:IS Daily pan evaporation modeling using linear genetic programming technique
AytacGuven.html
OzgurKisi.html
http___dx.doi.org_10.1007_s00271-010-0225-5 http://dx.doi.org/10.1007/s00271-010-0225-5
Guven:2013:JH Monthly pan evaporation modeling using linear genetic programming
AytacGuven.html
OzgurKisi.html
http___dx.doi.org_10.1016_j.jhydrol.2013.08.043 http://dx.doi.org/10.1016/j.jhydrol.2013.08.043
http___www.sciencedirect.com_science_article_pii_S0022169413006306 http://www.sciencedirect.com/science/article/pii/S0022169413006306
Guzman-Trampe:2012:evolve Finding Similarity Functions for Classification with Genetic Programming: Preliminary Results
JuanEvencioGuzmanTrampe.html
NareliCruzCortes.html
DanielOrtizArroyo.html
http___vbn.aau.dk_ws_files_68595778_TrampeaNareliOrtiz.pdf http://vbn.aau.dk/ws/files/68595778/TrampeaNareliOrtiz.pdf
https___www.saber.cic.ipn.mx_SABERv3_publicacions_webView_2012 https://www.saber.cic.ipn.mx/SABERv3/publicacions/webView/2012
Gypteau:2015:evoApplications Generating Directional Change Based Trading Strategies with Genetic Programming
JeremieGypteau.html
FernandoEstebanBarrilOtero.html
MichaelKampouridis.html
http___dx.doi.org_10.1007_978-3-319-16549-3_22 http://dx.doi.org/10.1007/978-3-319-16549-3_22
Ha:2015:GECCO Fast Knowledge Discovery in Time Series with GPGPU on Genetic Programming
SungjooHa.html
Byung-RoMoon.html
http___doi.acm.org_10.1145_2739480.2754669 http://doi.acm.org/10.1145/2739480.2754669
http___dx.doi.org_10.1145_2739480.2754669 http://dx.doi.org/10.1145/2739480.2754669
Ha:2016:GECCOcomp Inspecting the Latent Space of Stock Market Data with Genetic Programming
SungjooHa.html
SangyeopLee.html
Byung-RoMoon.html
http___dx.doi.org_10.1145_2908961.2909004 http://dx.doi.org/10.1145/2908961.2909004
Ha:2018:GECCO Investigation of the latent space of stock market patterns with genetic programming
SungjooHa.html
SangyeopLee.html
Byung-RoMoon.html
http___dx.doi.org_10.1145_3205455.3205493 http://dx.doi.org/10.1145/3205455.3205493
ha:Memetic_Computing Finding attractive technical patterns in cryptocurrency markets
SungjooHa.html
Byung-RoMoon.html
http___rdcu.be_IJDd http://rdcu.be/IJDd
https___doi.org_10.1007_s12293-018-0252-y https://doi.org/10.1007/s12293-018-0252-y
http___dx.doi.org_10.1007_s12293-018-0252-y http://dx.doi.org/10.1007/s12293-018-0252-y
Haasdijk:2008:cec Social Learning in Population-Based Adaptive Systems
EvertHaasdijk.html
PaulAVogt.html
GuszEiben.html
http___dx.doi.org_10.1109_CEC.2008.4630975 http://dx.doi.org/10.1109/CEC.2008.4630975
Habib:2018:ITT Automatic Email Spam Detection using Genetic Programming with SMOTE
MariaHabib.html
HossamFaris.html
MohammadAhmadHassonah.html
Ja'farAlqatawna.html
AlaaSheta.html
AlaMAl-Zoubi.html
http___dx.doi.org_10.1109_CTIT.2018.8649534 http://dx.doi.org/10.1109/CTIT.2018.8649534
oai:thesai.org:10.14569/IJACSA.2017.080527 Intelligent Watermarking Scheme for image Authentication and Recovery
RafiUllahHabib.html
HaniAliAlquhayz.html
http___thesai.org_Downloads_Volume8No5_Paper_27-Intelligent_Watermarking_Scheme_for_Image_Authentication.pdf http://thesai.org/Downloads/Volume8No5/Paper_27-Intelligent_Watermarking_Scheme_for_Image_Authentication.pdf
http___dx.doi.org_10.14569_IJACSA.2017.080527 http://dx.doi.org/10.14569/IJACSA.2017.080527
Habib2019 Medical Image(s) Watermarking and its Optimization using Genetic Programming
RafiUllahHabib.html
HaniAliAlquhayz.html
https___thesai.org_Downloads_Volume10No4_Paper_19-Medical_Images_Watermarking.pdf https://thesai.org/Downloads/Volume10No4/Paper_19-Medical_Images_Watermarking.pdf
http___dx.doi.org_10.14569_IJACSA.2019.0100419 http://dx.doi.org/10.14569/IJACSA.2019.0100419
http___dx.doi.org_10.14569_IJACSA.2019.0100419 http://dx.doi.org/10.14569/IJACSA.2019.0100419
Habib:2019:IJACSA Optimal Compression of Medical Images
RafiUllahHabib.html
http___thesai.org_Downloads_Volume10No4_Paper_15-Optimal_Compression_of_Medical_Images.pdf http://thesai.org/Downloads/Volume10No4/Paper_15-Optimal_Compression_of_Medical_Images.pdf
http___dx.doi.org_10.14569_IJACSA.2019.0100415 http://dx.doi.org/10.14569/IJACSA.2019.0100415
HADAVIMOGHADDAM:2022:ijhydene Data-driven modeling of H2 solubility in hydrocarbons using white-box approaches
FahimehHadavimoghaddam.html
Mohammad-RezaMohammadi.html
SaeidAtashrouz.html
DragutinNedeljkovic.html
AbdolhosseinHemmati-Sarapardeh.html
AhmadMohaddespour.html
http___dx.doi.org_10.1016_j.ijhydene.2022.07.238 http://dx.doi.org/10.1016/j.ijhydene.2022.07.238
https___www.sciencedirect.com_science_article_pii_S0360319922033481 https://www.sciencedirect.com/science/article/pii/S0360319922033481
HADAVIMOGHADDAM:2023:ijhydene Modeling hydrogen solubility in alcohols using group method of data handling and genetic programming
FahimehHadavimoghaddam.html
Mohammad-RezaMohammadi.html
SaeidAtashrouz.html
AliBostani.html
AbdolhosseinHemmati-Sarapardeh.html
AhmadMohaddespour.html
http___dx.doi.org_10.1016_j.ijhydene.2022.10.017 http://dx.doi.org/10.1016/j.ijhydene.2022.10.017
https___www.sciencedirect.com_science_article_pii_S0360319922046407 https://www.sciencedirect.com/science/article/pii/S0360319922046407
Haddadi:evoapps13 Malicious Automatically Generated Domain Name Detection Using Stateful-SBB
FaribaHaddadi.html
HilmiGunesKayacik.html
NurZincir-Heywood.html
MalcolmHeywood.html
http___dx.doi.org_10.1007_978-3-642-37192-9_53 http://dx.doi.org/10.1007/978-3-642-37192-9_53
Haddadi:2013:CEC Analyzing String Format-Based Classifiers For Botnet Detection: GP and SVM
FaribaHaddadi.html
NurZincir-Heywood.html
http___dx.doi.org_10.1109_CEC.2013.6557886 http://dx.doi.org/10.1109/CEC.2013.6557886
Haddadi:2014:GECCOcomp On botnet behaviour analysis using GP and C4.5
FaribaHaddadi.html
DylanRunkel.html
NurZincir-Heywood.html
MalcolmHeywood.html
https___web.cs.dal.ca__mheywood_OpenAccess_open-haddadi14.pdf https://web.cs.dal.ca/~mheywood/OpenAccess/open-haddadi14.pdf
http___doi.acm.org_10.1145_2598394.2605435 http://doi.acm.org/10.1145/2598394.2605435
http___dx.doi.org_10.1145_2598394.2605435 http://dx.doi.org/10.1145/2598394.2605435
Haddadi:2015:GECCOcomp Botnet Detection System Analysis on the Effect of Botnet Evolution and Feature Representation
FaribaHaddadi.html
NurZincir-Heywood.html
http___doi.acm.org_10.1145_2739482.2768435 http://doi.acm.org/10.1145/2739482.2768435
http___dx.doi.org_10.1145_2739482.2768435 http://dx.doi.org/10.1145/2739482.2768435
Haddow:2011:GPEM2 Challenges of evolvable hardware: past, present and the path to a promising future
PaulineHaddow.html
AndrewMTyrrell.html
http___dx.doi.org_10.1007_s10710-011-9141-6 http://dx.doi.org/10.1007/s10710-011-9141-6
Haddow:2017:miller Evolvable Hardware Challenges: Past, Present and the Path to a Promising Future
PaulineHaddow.html
AndrewMTyrrell.html
http___dx.doi.org_10.1007_978-3-319-67997-6_1 http://dx.doi.org/10.1007/978-3-319-67997-6_1
HADI:2018:JH Monthly streamflow forecasting using continuous wavelet and multi-gene genetic programming combination
SinanJasimHadi.html
MustafaTombul.html
http___dx.doi.org_10.1016_j.jhydrol.2018.04.036 http://dx.doi.org/10.1016/j.jhydrol.2018.04.036
http___www.sciencedirect.com_science_article_pii_S0022169418302890 http://www.sciencedirect.com/science/article/pii/S0022169418302890
Hadipour:2013:AIMS Genetic Programming for Downscaling Extreme Rainfall Events
SaharHadipour.html
ShamsuddinShahid.html
SobribinHarun.html
Xiao-JunWang.html
http___dx.doi.org_10.1109_AIMS.2013.61 http://dx.doi.org/10.1109/AIMS.2013.61
1274013 Cluster-based evolutionary design of digital circuits using all improved multi-expression programming
FatimaZohraHadjam.html
ClaudioMoraga.html
MohamedBenmohamed.html
http___gpbib.cs.ucl.ac.uk_gecco2007_docs_p2475.pdf http://gpbib.cs.ucl.ac.uk/gecco2007/docs/p2475.pdf
http___ls1-www.cs.uni-dortmund.de_pdf_Veroeffentlichungen_GECCO-2007.pdf http://ls1-www.cs.uni-dortmund.de/pdf/Veroeffentlichungen/GECCO-2007.pdf
http___dx.doi.org_10.1145_1274000.1274013 http://dx.doi.org/10.1145/1274000.1274013
Hadjam:2010:cec Evolutionary design of reversible digital circuits using IMEP the case of the even parity problem
FatimaZohraHadjam.html
ClaudioMoraga.html
http___dx.doi.org_10.1109_CEC.2010.5586252 http://dx.doi.org/10.1109/CEC.2010.5586252
oai:arXiv.org:1405.2226 Introduction to RIMEP2: A Multi-Expression Programming System for the Design of Reversible Digital Circuits
FatimaZohraHadjam.html
ClaudioMoraga.html
http___arxiv.org_abs_1405.2226 http://arxiv.org/abs/1405.2226
Hadjam:2014:RED RIMEP2: Evolutionary Design of Reversible Digital Circuits
FatimaZohraHadjam.html
ClaudioMoraga.html
http___dx.doi.org_10.1145_2629534 http://dx.doi.org/10.1145/2629534
http___portal.acm.org_browse_dl.cfm_idx_J967 http://portal.acm.org/browse_dl.cfm?idx=J967
http___dx.doi.org_10.1145_2629534 http://dx.doi.org/10.1145/2629534
HM2016 Distributed RIMEP2: a Comparative Study between a Hierarchical Model and the Islands Model in the context of reversible circuits design
FatimaZohraHadjam.html
ClaudioMoraga.html
http___www.cs.tu-dortmund.de_nps_de_Forschung_Publikationen_Graue_Reihe1_Ver__ffentlichungen_2016_853.pdf http://www.cs.tu-dortmund.de/nps/de/Forschung/Publikationen/Graue_Reihe1/Ver__ffentlichungen_2016/853.pdf
https___ls1-www.cs.tu-dortmund.de_en_307-claudio-moraga_1702-distributed-rimep2-a-comparative-study-between-a-hierarchical-model-and-the-islands https://ls1-www.cs.tu-dortmund.de/en/307-claudio-moraga/1702-distributed-rimep2-a-comparative-study-between-a-hierarchical-model-and-the-islands
hafner:1996:GGP Generalized Genetic Program
ChristianHafner.html
JuergFroehlich.html
HansUlrichGerber.html
hafner:1999:GFAUHEA Generalized Function Analysis Using Hybrid Evolutionary Algorithms
ChristianHafner.html
JuergFroehlich.html
http___ieeexplore.ieee.org_iel5_6342_16952_00781938.pdf http://ieeexplore.ieee.org/iel5/6342/16952/00781938.pdf
http___dx.doi.org_10.1109_CEC.1999.781938 http://dx.doi.org/10.1109/CEC.1999.781938
hagedorn:2001:agpsppr A Genetic Programming System with a Procedural Program Representation
JohnGHagedorn.html
JudithEDevaney.html
http___math.nist.gov_mcsd_savg_papers_g2001.ps.gz http://math.nist.gov/mcsd/savg/papers/g2001.ps.gz
Hagenhoff:2022:CNSM Time-sensitive Multi-Flow Routing in Highly Utilized MANETs
KlementHagenhoff.html
EikeViehmann.html
GabiDreoRodosek.html
http___dx.doi.org_10.23919_CNSM55787.2022.9964689 http://dx.doi.org/10.23919/CNSM55787.2022.9964689
Hagg:2019:GECCOcomp Prediction of neural network performance by phenotypic modeling
AlexanderHagg.html
MartinZaefferer.html
JoergStork.html
AdamGaier.html
http___dx.doi.org_10.1145_3319619.3326815 http://dx.doi.org/10.1145/3319619.3326815
haider:2022:GECCO Comparing Optimistic and Pessimistic Constraint Evaluation in Shape-constrained Symbolic Regression
ChristianHaider.html
FabricioOlivettideFranca.html
GabrielKronberger.html
BogdanBurlacu.html
http___dx.doi.org_10.1145_3512290.3528714 http://dx.doi.org/10.1145/3512290.3528714
HAIDER:2023:asoc Shape-constrained multi-objective genetic programming for symbolic regression
ChristianHaider.html
FabricioOlivettideFranca.html
BogdanBurlacu.html
GabrielKronberger.html
http___dx.doi.org_10.1016_j.asoc.2022.109855 http://dx.doi.org/10.1016/j.asoc.2022.109855
https___www.sciencedirect.com_science_article_pii_S1568494622009048 https://www.sciencedirect.com/science/article/pii/S1568494622009048
Haider:2023:GPTP Shape-constrained Symbolic Regression: Real-World Applications in Magnetization, Extrusion and Data Validation
ChristianHaider.html
FabricioOlivettideFranca.html
BogdanBurlacu.html
FlorianBachinger.html
GabrielKronberger.html
MichaelAffenzeller.html
http___dx.doi.org_10.1007_978-981-99-8413-8_12 http://dx.doi.org/10.1007/978-981-99-8413-8_12
HAJEK:2018:COR Forecasting performance of regional innovation systems using semantic-based genetic programming with local search optimizer
PetrHajek.html
RobertoHenriques.html
MauroCastelli.html
LeonardoVanneschi.html
http___dx.doi.org_10.1016_j.cor.2018.02.001 http://dx.doi.org/10.1016/j.cor.2018.02.001
http___www.sciencedirect.com_science_article_pii_S0305054818300327 http://www.sciencedirect.com/science/article/pii/S0305054818300327
Hajirezaie:2017:JML Development of a robust model for prediction of under-saturated reservoir oil viscosity
SassanHajirezaie.html
AminPajouhandeh.html
AbdolhosseinHemmati-Sarapardeh.html
MaysamPournik.html
BahramDabir.html
http___dx.doi.org_10.1016_j.molliq.2016.11.088 http://dx.doi.org/10.1016/j.molliq.2016.11.088
http___www.sciencedirect.com_science_article_pii_S0167732216320608 http://www.sciencedirect.com/science/article/pii/S0167732216320608
Halaby:2010:ICEAC Guided Search Space Genetic Programming for identifying energy aware microarchitectural designs
AbdallahEl-Halaby.html
MarietteAwad.html
RahulKhanna.html
http___dx.doi.org_10.1109_ICEAC.2010.5702307 http://dx.doi.org/10.1109/ICEAC.2010.5702307
Halaby:2011:ICEAC Exploring energy aware microarchitectural design space via computationally efficient genetic programming
AbdallahEl-Halaby.html
MarietteAwad.html
RahulKhanna.html
http___dx.doi.org_10.1109_ICEAC.2011.6136688 http://dx.doi.org/10.1109/ICEAC.2011.6136688
Hale:2018:TPOT TPOT Automated Machine Learning in Python
JeffHale.html
https___towardsdatascience.com_tpot-automated-machine-learning-in-python-4c063b3e5de9 https://towardsdatascience.com/tpot-automated-machine-learning-in-python-4c063b3e5de9
HALE:2020:IFAC-PapersOnLine Symbolic regression of uncertainty-resilient inferential sensors for fault diagnostics
WilliamTHale.html
GeorgeMBollas.html
http___dx.doi.org_10.1016_j.ifacol.2020.12.582 http://dx.doi.org/10.1016/j.ifacol.2020.12.582
https___www.sciencedirect.com_science_article_pii_S2405896320308831 https://www.sciencedirect.com/science/article/pii/S2405896320308831
HALE:2022:CCE Inference of faults through symbolic regression of system data
WilliamTHale.html
EfstathiaSafikou.html
GeorgeMBollas.html
http___dx.doi.org_10.1016_j.compchemeng.2021.107619 http://dx.doi.org/10.1016/j.compchemeng.2021.107619
https___www.sciencedirect.com_science_article_pii_S0098135421003975 https://www.sciencedirect.com/science/article/pii/S0098135421003975
hall:1995:AIsd AI in Software Development: Genetic Programming, Fuzzy Logic, and Neural Nets
CurtHall.html
PaulHarmon.html
hall:2004:GPTP Does Genetic Programming Inherently Adopt Structured Design Techniques?
JohnMHall.html
TerenceSoule.html
http___www.cs.uidaho.edu__tsoule_research_doesDesign.ps http://www.cs.uidaho.edu/~tsoule/research/doesDesign.ps
http___dx.doi.org_10.1007_0-387-23254-0_10 http://dx.doi.org/10.1007/0-387-23254-0_10
Hall:thesis Improving Software Remodularisation
MathewHall.html
https___etheses.whiterose.ac.uk_4183_ https://etheses.whiterose.ac.uk/4183/
https___etheses.whiterose.ac.uk_4183_1_thesis.pdf https://etheses.whiterose.ac.uk/4183/1/thesis.pdf
https___ethos.bl.uk_OrderDetails.do_uin_uk.bl.ethos.577421 https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.577421
https___www.sheffield.ac.uk_dcs_research_phd-theses https://www.sheffield.ac.uk/dcs/research/phd-theses
Hall:2016:ICSME Data and Analysis Code for GP EFSM Inference
MathewHall.html
NeilWalkinshaw.html
http___dx.doi.org_10.1109_ICSME.2016.22 http://dx.doi.org/10.1109/ICSME.2016.22
Hallawa:2020:evoapplications Evolving Instinctive Behaviour in Resource-Constrained Autonomous Agents Using Grammatical Evolution
AhmedHallawa.html
SimonSchug.html
GiovanniIacca.html
GerdAscheid.html
https___www.youtube.com_watch_v_ABy01VKXWME https://www.youtube.com/watch?v=ABy01VKXWME
http___dx.doi.org_10.1007_978-3-030-43722-0_24 http://dx.doi.org/10.1007/978-3-030-43722-0_24
hamel:2002:gecco Breeding Algebraic Structures---An Evolutionary Approach To Inductive Equational Logic Programming
LutzHamel.html
http___gpbib.cs.ucl.ac.uk_gecco2002_GP034.pdf http://gpbib.cs.ucl.ac.uk/gecco2002/GP034.pdf
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_gecco2002_gecco-2002-14.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/gecco2002/gecco-2002-14.pdf
H.:2003:Esiielp Evolutionary search in inductive equational logic programming
LutzHamel.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.383.7908 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.383.7908
http___homepage.cs.uri.edu_faculty_hamel_pubs_cec2003-hamel.pdf http://homepage.cs.uri.edu/faculty/hamel/pubs/cec2003-hamel.pdf
Hamel:2007:AAIP An Inductive Programming Approach to Algebraic Specification
LutzHamel.html
ChiShen.html
http___homepage.cs.uri.edu_faculty_hamel_pubs_aaip07-hamel.pdf http://homepage.cs.uri.edu/faculty/hamel/pubs/aaip07-hamel.pdf
http___www.ecmlpkdd2007.org_CD_workshops_AAIP_hamel_shen_hamel_shen.pdf http://www.ecmlpkdd2007.org/CD/workshops/AAIP/hamel_shen/hamel_shen.pdf
journals/ci/HamidaAA16 Applying Dynamic Training-Subset Selection Methods Using Genetic Programming for Forecasting Implied Volatility
SanaBenHamida.html
WafaAbdelmalek.html
FathiAbid.html
http___dx.doi.org_10.1111_coin.12057 http://dx.doi.org/10.1111/coin.12057
http___dx.doi.org_10.1111_coin.12057 http://dx.doi.org/10.1111/coin.12057
HAMIDA:2020:CSR Adaptive Sampling for Active Learning with Genetic Programming
SanaBenHamida.html
HmidaHmida.html
AmelBorgi.html
MartaRukoz.html
http___dx.doi.org_10.1016_j.cogsys.2020.08.008 http://dx.doi.org/10.1016/j.cogsys.2020.08.008
http___www.sciencedirect.com_science_article_pii_S1389041720300541 http://www.sciencedirect.com/science/article/pii/S1389041720300541
Hamilton:2023:evoapplications Predicting Normal and Anomalous Urban Traffic with Vectorial Genetic Programming and Transfer Learning
JohnConnorRegoHamilton.html
AnikoEkart.html
AlinaPatelli.html
https___research.aston.ac.uk_en_publications_predicting-normal-and-anomalous-urban-traffic-with-vectorial-gene https://research.aston.ac.uk/en/publications/predicting-normal-and-anomalous-urban-traffic-with-vectorial-gene
http___dx.doi.org_10.1007_978-3-031-30229-9_34 http://dx.doi.org/10.1007/978-3-031-30229-9_34
Hammami:2018:CEC A Multi-Objective Hybrid Filter-Wrapper Evolutionary Approach for Feature Construction on High-Dimensional Data
MarwaHammami.html
SlimBechikh.html
Chih-ChengHung.html
LamjedBenSaid.html
http___dx.doi.org_10.1109_CEC.2018.8477771 http://dx.doi.org/10.1109/CEC.2018.8477771
Hammami:2020:CEC Class Dependent Feature Construction as a Bi-level optimization Problem
MarwaHammami.html
SlimBechikh.html
MohamedMakhlouf.html
Chih-ChengHung.html
LamjedBenSaid.html
http___dx.doi.org_10.1109_CEC48606.2020.9185756 http://dx.doi.org/10.1109/CEC48606.2020.9185756
Hammell2010 Computational methods to identify miRNA targets
MollyHammell.html
http___dx.doi.org_10.1016_j.semcdb.2010.01.004 http://dx.doi.org/10.1016/j.semcdb.2010.01.004
http___www.sciencedirect.com_science_article_B6WX0-4Y5GY3K-2_2_ee338722f9ce7b4b87a41bdd717fc22e http://www.sciencedirect.com/science/article/B6WX0-4Y5GY3K-2/2/ee338722f9ce7b4b87a41bdd717fc22e
HAMMER:2021:JNFM Predicting the co-extrusion flow of non-Newtonian fluids through rectangular ducts - A hybrid modeling approach
AlexanderHammer.html
WolfgangRoland.html
ChristianMarschik.html
GeorgSteinbichler.html
http___dx.doi.org_10.1016_j.jnnfm.2021.104618 http://dx.doi.org/10.1016/j.jnnfm.2021.104618
https___www.sciencedirect.com_science_article_pii_S037702572100118X https://www.sciencedirect.com/science/article/pii/S037702572100118X
DBLP:journals/ecs/HamoudaHR10 Genetic programming with Automatically Defined Function in Isolated Arabic Optical Character Recognition
EslamHamouda.html
TaherTawfiqAhmedHamza.html
ElsayiedRadwan.html
https___dblp.org_rec_bib_journals_ecs_HamoudaHR10 https://dblp.org/rec/bib/journals/ecs/HamoudaHR10
http___ecsjournal.org_JournalArticle.aspx_articleID_267 http://ecsjournal.org/JournalArticle.aspx?articleID=267
hampo:1992:new Genetic Programming: A New Paradigm for Control and Analysis
RichardJHampo.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_hampo_1992_new.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/hampo_1992_new.pdf
hampo:1992:cvs Application of Genetic Programming to Control of Vehicle Systems
RichardJHampo.html
KennethAMarko.html
http___dx.doi.org_10.1109_IVS.1992.252255 http://dx.doi.org/10.1109/IVS.1992.252255
hampo:1992:newford The Genetic Programming Paradigm: A New Tool for Analysis and Control
RichardJHampo.html
Hampo:1994:ICemdagGP IC Engine Misfire Detection Algorithm Generation Using Genetic Programming
RichardJHampo.html
BruceDBryant.html
KennethAMarko.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_ftp.io.com_papers_misfire-detection.PS.Z http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/ftp.io.com/papers/misfire-detection.PS.Z
hamza:ooc:gecco2004 Optimization of Constructive Solid Geometry Via a Tree-Based Multi-objective Genetic Algorithm
KarimHamza.html
KazuhiroSaitou.html
http___dx.doi.org_10.1007_b98645 http://dx.doi.org/10.1007/b98645
Han:2006:WCICA A Multi-objective Genetic Programming/ NARMAX Approach to Chaotic Systems Identification
PuHan.html
Shi-LiangZhou.html
DongfengWang.html
http___dx.doi.org_10.1109_WCICA.2006.1712650 http://dx.doi.org/10.1109/WCICA.2006.1712650
Han:2021:SBST Preliminary Evaluation of Path-aware Crossover Operators for Search-Based Test Data Generation for Autonomous Driving
SeungheeHan.html
JaeukKim.html
GeonKim.html
JaeminCho.html
JiInKim.html
ShinYoo.html
https___coinse.kaist.ac.kr_publications_pdfs_Han2021vp.pdf https://coinse.kaist.ac.kr/publications/pdfs/Han2021vp.pdf
https___youtu.be_m0jTmJPa7ts https://youtu.be/m0jTmJPa7ts
http___dx.doi.org_10.1109_SBST52555.2021.00020 http://dx.doi.org/10.1109/SBST52555.2021.00020
Han2021_Article_ModelingTheProgressionOfCOVID- Modeling the progression of COVID-19 deaths using Kalman Filter and AutoML
TaoHan.html
FranciscoNauberBernardoGois.html
RamsesOliveira.html
LuanRochaPrates.html
MagdaMouradeAlmeidaPorto.html
https___rdcu.be_cC09J https://rdcu.be/cC09J
http___dx.doi.org_10.1007_s00500-020-05503-5 http://dx.doi.org/10.1007/s00500-020-05503-5
Han:2021:WRM Surrogate-Based Stochastic Multiobjective Optimization for Coastal Aquifer Management under Parameter Uncertainty
ZhengHan.html
WenxiLu.html
YueFan.html
JiananXu.html
JinLin.html
http___link.springer.com_10.1007_s11269-021-02796-5 http://link.springer.com/10.1007/s11269-021-02796-5
http___dx.doi.org_10.1007_s11269-021-02796-5 http://dx.doi.org/10.1007/s11269-021-02796-5
Hanada:2012:CEC Effectiveness of Multi-step Crossover Fusions in Genetic Programming
YoshikoHanada.html
NagahiroHosokawa.html
KeikoOno.html
MitsujiMuneyasu.html
http___dx.doi.org_10.1109_CEC.2012.6256564 http://dx.doi.org/10.1109/CEC.2012.6256564
Hand:1997:gn Genetic Nets
CharlesHand.html
hand:1994:GPreview Evolutionary computation
DavidJHand.html
http___dx.doi.org_10.1007_BF00175359 http://dx.doi.org/10.1007/BF00175359
icga93:handley Automatic Learning of a Detector for alpha-helices in Protein Sequences Via Genetic Programming
SimonGHandley.html
Handley:1993:GPagplGP The genetic planner: The automatic generation of plans for a mobile robot via genetic programming
SimonGHandley.html
http___dx.doi.org_10.1109_ISIC.1993.397715 http://dx.doi.org/10.1109/ISIC.1993.397715
Handley:1991:agplGPADF The automatic generation of plans for a mobile robot via genetic programming with automatically defined functions
SimonGHandley.html
kinnear:handley The Automatic Generations of Plans for a Mobile Robot via Genetic Programming with Automatically Defined Functions
SimonGHandley.html
http___www.amazon.co.uk_Advances-Genetic-Programming-Complex-Adaptive_dp_0262111888 http://www.amazon.co.uk/Advances-Genetic-Programming-Complex-Adaptive/dp/0262111888
http___cognet.mit.edu_sites_default_files_books_9780262277181_pdfs_9780262277181_chap18.pdf http://cognet.mit.edu/sites/default/files/books/9780262277181/pdfs/9780262277181_chap18.pdf
http___dx.doi.org_10.7551_mitpress_1108.003.0024 http://dx.doi.org/10.7551/mitpress/1108.003.0024
Handley:1994:DAGpcp On the use of a directed acyclic graph to represent a population of computer programs
SimonGHandley.html
http___dx.doi.org_10.1109_ICEC.1994.350024 http://dx.doi.org/10.1109/ICEC.1994.350024
Handley:1994:alAHGP Automated learning of a detector for the cores of a-helices in protein sequences via genetic programming
SimonGHandley.html
http___dx.doi.org_10.1109_ICEC.1994.349904 http://dx.doi.org/10.1109/ICEC.1994.349904
handley:1994:solvent The prediction of the degree of exposure to solvent of amino acid residues via genetic programming
SimonGHandley.html
http___www.aaai.org_Library_ISMB_ismb94contents.php http://www.aaai.org/Library/ISMB/ismb94contents.php
http___www.aaai.org_Library_ISMB_1994_ismb94-019.php http://www.aaai.org/Library/ISMB/1994/ismb94-019.php
handley:1994:al Automated learning of a detector for a-helices in protein sequences via genetic programming
SimonGHandley.html
TodKlingler.html
handley:1995:DNAsplice Predicting Whether or Not a 60-base DNA Sequence Contains a Centrally-Located Splice Site Using Genetic Programming
SimonGHandley.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_handley_1995_DNAsplice.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/handley_1995_DNAsplice.pdf
http___www.cs.rochester.edu_u_rosca_ml95.htm http://www.cs.rochester.edu/u/rosca/ml95.htm
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.532.6577 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.532.6577
http___www.aaai.org_Papers_Symposia_Fall_1995_FS-95-01_FS95-01-003.pdf http://www.aaai.org/Papers/Symposia/Fall/1995/FS-95-01/FS95-01-003.pdf
handley:1995:IorE Classifying Nucleic Acid Sub-Sequences as Introns or Exons Using Genetic Programming
SimonGHandley.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.529.6402 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.529.6402
http___www.aaai.org_Papers_ISMB_1995_ISMB95-020.pdf http://www.aaai.org/Papers/ISMB/1995/ISMB95-020.pdf
http___www.aaai.org_Library_ISMB_ismb95contents.php http://www.aaai.org/Library/ISMB/ismb95contents.php
handley:1995:coliP Predicting Whether or not a Nucleic Acid Sequence is an E. coli Promoter Region using Genetic Programming
SimonGHandley.html
http___dx.doi.org_10.1109_INBS.1995.404270 http://dx.doi.org/10.1109/INBS.1995.404270
handley:1995:DNAspliceF Predicting Whether Or Not a 60-Base DNA Sequence Contains a Centrally-Located Splice Site Using Genetic Programming
SimonGHandley.html
http___www.aaai.org_Papers_Symposia_Fall_1995_FS-95-01_FS95-01-003.pdf http://www.aaai.org/Papers/Symposia/Fall/1995/FS-95-01/FS95-01-003.pdf
http___www.aaai.org_Library_Symposia_Fall_fs95-01.php http://www.aaai.org/Library/Symposia/Fall/fs95-01.php
handley:1996:pdesaarGP The Prediction of the Degree of Exposure to Solvent of Amino Acid Residues via Genetic Programming
SimonGHandley.html
http___cognet.mit.edu_sites_default_files_books_9780262315876_pdfs_9780262315876_chap38.pdf http://cognet.mit.edu/sites/default/files/books/9780262315876/pdfs/9780262315876_chap38.pdf
http___cognet.mit.edu_library_books_view_isbn_0262611279 http://cognet.mit.edu/library/books/view?isbn=0262611279
handley:1996:nfsssp A New Class of Function Sets for Solving Sequence Problems
SimonGHandley.html
http___cognet.mit.edu_sites_default_files_books_9780262315876_pdfs_9780262315876_chap39.pdf http://cognet.mit.edu/sites/default/files/books/9780262315876/pdfs/9780262315876_chap39.pdf
http___cognet.mit.edu_library_books_view_isbn_0262611279 http://cognet.mit.edu/library/books/view?isbn=0262611279
handley:thesis Automatically Discovering Solutions that Flexibly Combine Iterative and non-Iterative Computations
SimonGHandley.html
http___searchworks.stanford.edu_view_3911278 http://searchworks.stanford.edu/view/3911278
http___search.proquest.com_docview_304454352 http://search.proquest.com/docview/304454352
oai:biomedcentral.com:1471-2105-8-23 Motif kernel generated by genetic programming improves remote homology and fold detection
TonyHandstad.html
ArneJohanHHestnes.html
PalSaetrom.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.276.5386 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.276.5386
http___www.biomedcentral.com_content_pdf_1471-2105-8-23.pdf http://www.biomedcentral.com/content/pdf/1471-2105-8-23.pdf
http___www.biomedcentral.com_1471-2105_8_23 http://www.biomedcentral.com/1471-2105/8/23
http___dx.doi.org_10.1186_1471-2105-8-23 http://dx.doi.org/10.1186/1471-2105-8-23
hanna2023reinforcement Reinforcement Learning for Mutation Operator Selection in Automated Program Repair
CarolHanna.html
AymericBlot.html
JustynaPetke.html
https___arxiv.org_abs_2306.05792 https://arxiv.org/abs/2306.05792
Hanselmann:1996:Chemeca Modelling a Transformer Oil Regeneration Process Using Genetic Programming
KHanselmann.html
GeoffreyWBarton.html
BenMcKay.html
MarkJWillis.html
http___search.informit.com.au_documentSummary_dn_894065266629714_res_IELENG http://search.informit.com.au/documentSummary;dn=894065266629714;res=IELENG
Hansen:2003:GPEM Genetic Programming Experiments with Standard and Homologous Crossover Methods
JamesVHansen.html
http___dx.doi.org_10.1023_A_1021825110329 http://dx.doi.org/10.1023/A:1021825110329
hansen:2004:COR Genetic search methods in air traffic control
JamesVHansen.html
http___dx.doi.org_10.1016_S0305-0548_02_00228-9 http://dx.doi.org/10.1016/S0305-0548(02)00228-9
Hansen:2006:DSS Genetic programming for prevention of cyberterrorism through dynamic and evolving intrusion detection
JamesVHansen.html
PaulBenjaminLowry.html
RaymanDMeservy.html
DanielMMcDonald.html
http___dx.doi.org_10.1016_j.dss.2006.04.004 http://dx.doi.org/10.1016/j.dss.2006.04.004
hansen:2016:bams Is depth information and optical flow helpful for visual control?
JohannesHansen.html
MarcEbner.html
http___dx.doi.org_10.1515_bams-2015-0044 http://dx.doi.org/10.1515/bams-2015-0044
Hanskunatai:2020:ICCAR Automatic Parameter Tuning in Aluminum Extrusion Based on Genetic Programming
AnantapornHanskunatai.html
http___dx.doi.org_10.1109_ICCAR49639.2020.9107980 http://dx.doi.org/10.1109/ICCAR49639.2020.9107980
Haque2019 A Multi-objective Meta-Analytic Method for Customer Churn Prediction
MohammadNazmulHaque.html
NatalieJanedeVries.html
PabloMoscato.html
http___dx.doi.org_10.1007_978-3-030-06222-4_20 http://dx.doi.org/10.1007/978-3-030-06222-4_20
hara:1999:EAADG Emergence of the cooperative behavior using ADG; Automatically Defined Groups
AkiraHara.html
TomoharuNagao.html
http___gpbib.cs.ucl.ac.uk_gecco1999_GP-415.ps http://gpbib.cs.ucl.ac.uk/gecco1999/GP-415.ps
http___www.ints.info.hiroshima-cu.ac.jp__ahara_GECCO99.ps http://www.ints.info.hiroshima-cu.ac.jp/~ahara/GECCO99.ps
Hara:2011:SMC Cartesian Ant Programming
AkiraHara.html
ManabuWatanabe.html
TetsuyukiTakahama.html
http___dx.doi.org_10.1109_ICSMC.2011.6084146 http://dx.doi.org/10.1109/ICSMC.2011.6084146
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AkiraHara.html
YoshimasaUeno.html
TetsuyukiTakahama.html
http___dx.doi.org_10.1109_ICSMC.2012.6377812 http://dx.doi.org/10.1109/ICSMC.2012.6377812
journals/ijkwi/HaraTIT12 Knowledge acquisition from many-attribute data by genetic programming with clustered terminal symbols
AkiraHara.html
HarukoTanaka.html
TakumiIchimura.html
TetsuyukiTakahama.html
http___dx.doi.org_10.1504_IJKWI.2012.050286 http://dx.doi.org/10.1504/IJKWI.2012.050286
Hara:2013:IWCIA Parallel Ant Programming using genetic operators
AkiraHara.html
Jun-ichiKushida.html
SouichiTanabe.html
TetsuyukiTakahama.html
http___dx.doi.org_10.1109_IWCIA.2013.6624788 http://dx.doi.org/10.1109/IWCIA.2013.6624788
Hara:2014:smc Rank-based Semantic Control Crossover in Genetic Programming
AkiraHara.html
Jun-ichiKushida.html
TakeyukiNobuta.html
TetsuyukiTakahama.html
http___dx.doi.org_10.1109_SMC.2014.6973957 http://dx.doi.org/10.1109/SMC.2014.6973957
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AkiraHara.html
Jun-ichiKushida.html
KeitaFukuhara.html
TetsuyukiTakahama.html
http___dx.doi.org_10.1109_IWCIA.2014.6988089 http://dx.doi.org/10.1109/IWCIA.2014.6988089
Hara:2015:IIAI-AAI Geometric Semantic Genetic Programming Using External Division of Parents
AkiraHara.html
Jun-ichiKushida.html
KeiKisaka.html
TetsuyukiTakahama.html
http___dx.doi.org_10.1109_IIAI-AAI.2015.245 http://dx.doi.org/10.1109/IIAI-AAI.2015.245
Hara:2015:ieeeSMC Genetic Programming Using the Best Individuals of Genealogies for Maintaining Population Diversity
AkiraHara.html
TakuyaMototsuka.html
Jun-ichiKushida.html
TetsuyukiTakahama.html
http___dx.doi.org_10.1109_SMC.2015.470 http://dx.doi.org/10.1109/SMC.2015.470
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AkiraHara.html
Jun-ichiKushida.html
TomoyaOkita.html
TetsuyukiTakahama.html
http___ieeexplore.ieee.org_xpl_articleDetails.jsp_arnumber_7449465 http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7449465
http___dx.doi.org_10.1109_IWCIA.2015.7449465 http://dx.doi.org/10.1109/IWCIA.2015.7449465
Hara:2016:IWCIA Efficiency improvement of imitation operator in multi-agent control model based on Cartesian Genetic Programming
AkiraHara.html
HirokiKonishi.html
Jun-ichiKushida.html
TetsuyukiTakahama.html
http___dx.doi.org_10.1109_IWCIA.2016.7805751 http://dx.doi.org/10.1109/IWCIA.2016.7805751
Hara:2016:IIAI-AAI Deterministic Crossover Based on Target Semantics in Geometric Semantic Genetic Programming
AkiraHara.html
Jun-ichiKushida.html
RTanemura.html
TetsuyukiTakahama.html
http___dx.doi.org_10.1109_IIAI-AAI.2016.220 http://dx.doi.org/10.1109/IIAI-AAI.2016.220
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AkiraHara.html
Jun-ichiKushida.html
TetsuyukiTakahama.html
http___dx.doi.org_10.1109_SMC.2016.7844757 http://dx.doi.org/10.1109/SMC.2016.7844757
Hara:2017:ieeeSMC The influence of generation alternation model on search performance in deterministic geometric semantic genetic programming
AkiraHara.html
Jun-ichiKushida.html
TakamichiYamagata.html
TetsuyukiTakahama.html
http___dx.doi.org_10.1109_SMC.2017.8122670 http://dx.doi.org/10.1109/SMC.2017.8122670
Hara:2018:ieeeSMC Artificial Bee Colony Programming Using Semantic Control Crossover
AkiraHara.html
Jun-ichiKushida.html
RyotaTakemoto.html
TetsuyukiTakahama.html
http___dx.doi.org_10.1109_SMC.2018.00043 http://dx.doi.org/10.1109/SMC.2018.00043
Hara:2019:SMC Time Series Prediction Using Deterministic Geometric Semantic Genetic Programming
AkiraHara.html
Jun-ichiKushida.html
TetsuyukiTakahama.html
http___dx.doi.org_10.1109_SMC.2019.8914562 http://dx.doi.org/10.1109/SMC.2019.8914562
Hara:2020:SMC Maintaining Population Diversity in Deterministic Geometric Semantic Genetic Programming by e-Lexicase Selection
AkiraHara.html
Jun-ichiKushida.html
TetsuyukiTakahama.html
http___dx.doi.org_10.1109_SMC42975.2020.9283096 http://dx.doi.org/10.1109/SMC42975.2020.9283096
Harada:2011:NaBIC Adaptive mutation depending on program size in asynchronous program evolution
TomohiroHarada.html
KeikiTakadama.html
http___dx.doi.org_10.1109_NaBIC.2011.6089626 http://dx.doi.org/10.1109/NaBIC.2011.6089626
Harada:2012:ISIS Evolving conditional branch programs in Tierra-based Asynchronous Genetic Programming
TomohiroHarada.html
YoshihiroIchikawa.html
KeikiTakadama.html
http___dx.doi.org_10.1109_SCIS-ISIS.2012.6505032 http://dx.doi.org/10.1109/SCIS-ISIS.2012.6505032
harada:2013:EuroGP Asynchronous Evaluation based Genetic Programming: Comparison of Asynchronous and Synchronous Evaluation and its Application
TomohiroHarada.html
KeikiTakadama.html
http___dx.doi.org_10.1007_978-3-642-37207-0_21 http://dx.doi.org/10.1007/978-3-642-37207-0_21
Harada:2013:ECAL Analyzing Program Evolution in Genetic Programming using Asynchronous Evaluation
TomohiroHarada.html
KeikiTakadama.html
http___dx.doi.org_10.7551_978-0-262-31709-2-ch102 http://dx.doi.org/10.7551/978-0-262-31709-2-ch102
harada:2014:EuroGP Asynchronous Evolution by Reference-based Evaluation: Tertiary Parent Selection and its Archive
TomohiroHarada.html
KeikiTakadama.html
http___dx.doi.org_10.1007_978-3-662-44303-3_17 http://dx.doi.org/10.1007/978-3-662-44303-3_17
Harada:2014:GECCO Asynchronously evolving solutions with excessively different evaluation time by reference-based evaluation
TomohiroHarada.html
KeikiTakadama.html
http___doi.acm.org_10.1145_2576768.2598330 http://doi.acm.org/10.1145/2576768.2598330
http___dx.doi.org_10.1145_2576768.2598330 http://dx.doi.org/10.1145/2576768.2598330
journals/jrm/HaradaT17 Machine-Code Program Evolution by Genetic Programming Using Asynchronous Reference-Based Evaluation Through Single-Event Upset in On-Board Computer
TomohiroHarada.html
KeikiTakadama.html
http___dx.doi.org_10.20965_jrm.2017.p0808 http://dx.doi.org/10.20965/jrm.2017.p0808
Harada:2020:CEC Proposal of Multimodal Program Optimization Benchmark and Its Application to Multimodal Genetic Programming
TomohiroHarada.html
KeiMurano.html
RuckThawonmas.html
http___dx.doi.org_10.1109_CEC48606.2020.9185705 http://dx.doi.org/10.1109/CEC48606.2020.9185705
harada:2023:ALR Investigating the influence of survival selection and fitness estimation method in genotype-based surrogate-assisted genetic programming
TomohiroHarada.html
SoheiKino.html
RuckThawonmas.html
http___link.springer.com_article_10.1007_s10015-022-00821-3 http://link.springer.com/article/10.1007/s10015-022-00821-3
http___dx.doi.org_10.1007_s10015-022-00821-3 http://dx.doi.org/10.1007/s10015-022-00821-3
DBLP:journals/informaticaSI/HarahshehSS21 Performance of Malware Detection Classifier Using Genetic Programming in Feature Selection
HebaHarahsheh.html
MohammadShraideh.html
SalehSharaeh.html
https___doi.org_10.31449_inf.v45i4.3819 https://doi.org/10.31449/inf.v45i4.3819
http___dx.doi.org_10.31449_inf.v45i4.3819 http://dx.doi.org/10.31449/inf.v45i4.3819
https___dblp.org_rec_journals_informaticaSI_HarahshehSS21.bib https://dblp.org/rec/journals/informaticaSI/HarahshehSS21.bib
Haraldsson:2014:GECCOcomp Automated design of algorithms and genetic improvement: contrast and commonalities
SaemundurOskarHaraldsson.html
JohnRWoodward.html
http___doi.acm.org_10.1145_2598394.2609874 http://doi.acm.org/10.1145/2598394.2609874
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Haraldsson:2015:gi Genetic Improvement of Energy Usage is only as Reliable as the Measurements are Accurate
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Haraldsson:2017:EuroGP Exploring Fitness and Edit Distance of Mutated Python Programs
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Haraldsson:2017:SBST The Use of Automatic Test Data Generation for Genetic Improvement in a Live System
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Haraldsson:2017:GI Fixing Bugs in Your Sleep: How Genetic Improvement Became an Overnight Success
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Haraldsson:2017a:GI Genetic Improvement of Runtime in a Bioinformatics Application
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Haraldsson:2017:cwsbatfix Computers will soon be able to fix themselves - are IT departments for the chop?
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http___theconversation.com_computers-will-soon-be-able-to-fix-themselves-are-it-departments-for-the-chop-85632 http://theconversation.com/computers-will-soon-be-able-to-fix-themselves-are-it-departments-for-the-chop-85632
Haraldsson:thesis Genetic Improvement of Software: From Program Landscapes to the Automatic Improvement of a Live System
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Haraldsson:2020:GECCOcomp Genetic Improvement: Taking Real-World Source Code and Improving It Using Genetic Programming
SamundurOHaraldsson.html
JohnRWoodward.html
MarkusWagner.html
https___dl.acm.org_doi_abs_10.1145_3377929.3389885 https://dl.acm.org/doi/abs/10.1145/3377929.3389885
https___doi.org_10.1145_3377929.3389885 https://doi.org/10.1145/3377929.3389885
http___dx.doi.org_10.1145_3377929.3389885 http://dx.doi.org/10.1145/3377929.3389885
Haraldsson:2021:GECCOcomp Genetic improvement: taking real-world source code and improving it using genetic programming
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AlexanderEIBrownlee.html
JohnRWoodward.html
MarkusWagner.html
BradAlexander.html
https___gecco-2021.sigevo.org_Tutorials https://gecco-2021.sigevo.org/Tutorials
http___dx.doi.org_10.1145_3449726.3461416 http://dx.doi.org/10.1145/3449726.3461416
Harari:Sapiens Sapiens
YuvalNoahHarari.html
https___www.amazon.co.uk_Sapiens-Humankind-Yuval-Noah-Harari_dp_0099590085 https://www.amazon.co.uk/Sapiens-Humankind-Yuval-Noah-Harari/dp/0099590085
Hardesty:2012:MITnews The mathematics of taste
LarryHardesty.html
http___web.mit.edu_newsoffice_2012_what-smells-good-0124.html http://web.mit.edu/newsoffice/2012/what-smells-good-0124.html
Hardey:2012:GECCO Exploring and evolving process-oriented control for real and virtual fire fighting robots
KathrynHardey.html
ErenCorapcioglu.html
MollyMattis.html
MarkGoadrich.html
MatthewJadud.html
http___dx.doi.org_10.1145_2330163.2330179 http://dx.doi.org/10.1145/2330163.2330179
conf/iconas/HardierRS13 Creating Sparse Rational Approximations for Linear Fractional Representations Using Genetic Programming
GeorgesHardier.html
ClementRoos.html
CedricSeren.html
http___dx.doi.org_10.3182_20130902-3-CN-3020.00065 http://dx.doi.org/10.3182/20130902-3-CN-3020.00065
https___w3.onera.fr_smac_tracker https://w3.onera.fr/smac/tracker
Harding:2016:DS Meta-Parametric Design
JohnEHarding.html
PaulShepherd.html
http___www.sciencedirect.com_science_article_pii_S0142694X16300655 http://www.sciencedirect.com/science/article/pii/S0142694X16300655
http___dx.doi.org_10.1016_j.destud.2016.09.005 http://dx.doi.org/10.1016/j.destud.2016.09.005
eurogp:HardingM05 Evolution of Robot Controller Using Cartesian Genetic Programming
SimonHarding.html
JulianFMiller.html
http___dx.doi.org_10.1007_978-3-540-31989-4_6 http://dx.doi.org/10.1007/978-3-540-31989-4_6
http___dx.doi.org_10.1007_b107383 http://dx.doi.org/10.1007/b107383
harding:2005:EH Evolution In Materio : A Real-Time Robot Controller in Liquid Crystal
SimonHarding.html
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http___dx.doi.org_10.1109_EH.2005.22 http://dx.doi.org/10.1109/EH.2005.22
eurogp07:harding Fast genetic programming on GPUs
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http___citeseer.ist.psu.edu_viewdoc_citations_jsessionid_7CB4F09F82CEB4C8933E1E15E8EF3632_doi_10.1.1.93.1862 http://citeseer.ist.psu.edu/viewdoc/citations;jsessionid=7CB4F09F82CEB4C8933E1E15E8EF3632?doi=10.1.1.93.1862
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https___rdcu.be_dfEPJ https://rdcu.be/dfEPJ
http___dx.doi.org_10.1007_978-3-540-71605-1_9 http://dx.doi.org/10.1007/978-3-540-71605-1_9
1277161 Self-modifying cartesian genetic programming
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http___gpbib.cs.ucl.ac.uk_gecco2007_docs_p1021.pdf http://gpbib.cs.ucl.ac.uk/gecco2007/docs/p1021.pdf
http___dx.doi.org_10.1145_1276958.1277161 http://dx.doi.org/10.1145/1276958.1277161
10.1109/HPCS.2007.17 Fast Genetic Programming and Artificial Developmental Systems on GPUs
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http___dx.doi.org_10.1109_HPCS.2007.17 http://dx.doi.org/10.1109/HPCS.2007.17
Harding:2008:cec Evolution of Image Filters on Graphics Processor Units Using Cartesian Genetic Programming
SimonHarding.html
http___dx.doi.org_10.1109_CEC.2008.4631051 http://dx.doi.org/10.1109/CEC.2008.4631051
harding_genetic_2008 Genetic programming on GPUs for image processing
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http___www.gpgpgpu.com_bibtex.html http://www.gpgpgpu.com/bibtex.html
http___dx.doi.org_10.1504_IJHPSA.2008.024207 http://dx.doi.org/10.1504/IJHPSA.2008.024207
Harding:2009:eurogp Self Modifying Cartesian Genetic Programming: Fibonacci, Squares, Regression and Summing
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http___www.evolutioninmaterio.com_preprints_eurogp_smcgp_1.ps.pdf http://www.evolutioninmaterio.com/preprints/eurogp_smcgp_1.ps.pdf
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Harding:2009:cec Self Modifying Cartesian Genetic Programming: Parity
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DBLP:conf/gecco/HardingMB09 Evolution, development and learning using self-modifying cartesian genetic programming
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http___dx.doi.org_10.1145_1569901.1569998 http://dx.doi.org/10.1145/1569901.1569998
hardinggpem2009 Distributed Genetic Programming on GPUs using CUDA
SimonHarding.html
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http___www.evolutioninmaterio.com_preprints_CudaParallelCompilePP.pdf http://www.evolutioninmaterio.com/preprints/CudaParallelCompilePP.pdf
Harding:2010:GPEM Developments in Cartesian Genetic Programming: self-modifying CGP
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http___dx.doi.org_10.1007_s10710-010-9114-1 http://dx.doi.org/10.1007/s10710-010-9114-1
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Harding:2010:gecco Self modifying cartesian genetic programming: finding algorithms that calculate pi and e to arbitrary precision
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Harding:2010:GPTP A Survey of Self Modifying Cartesian Genetic Programming
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http___www.springer.com_computer_ai_book_978-1-4419-7746-5 http://www.springer.com/computer/ai/book/978-1-4419-7746-5
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Harding:2011:GECCO SMCGP2: self modifying cartesian genetic programming in two dimensions
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Harding:2011:GECCOcompQ SMCGP2: finding algorithms that approximate numerical constants using quaternions and complex numbers
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http___dx.doi.org_10.1145_2001858.2001968 http://dx.doi.org/10.1145/2001858.2001968
Harding:2011:GECCOcomp Implementing cartesian genetic programming classifiers on graphics processing units using GPU.NET
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http___dx.doi.org_10.1145_2001858.2002034 http://dx.doi.org/10.1145/2001858.2002034
Harding:2011:CGP.ch4 Self-Modifying Cartesian Genetic Programming
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http___www.springer.com_computer_theoretical_computer_science_book_978-3-642-17309-7 http://www.springer.com/computer/theoretical+computer+science/book/978-3-642-17309-7
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Harding:2011:CGP.ch8 Hardware Acceleration for CGP: Graphics Processing Units
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http___www.springer.com_computer_theoretical_computer_science_book_978-3-642-17309-7 http://www.springer.com/computer/theoretical+computer+science/book/978-3-642-17309-7
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Harding:2012:GPTP Cartesian Genetic Programming for Image Processing
SimonHarding.html
JuergenLeitner.html
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http___dx.doi.org_10.1007_978-1-4614-6846-2_3 http://dx.doi.org/10.1007/978-1-4614-6846-2_3
http___dx.doi.org_10.1007_978-1-4614-6846-2_3 http://dx.doi.org/10.1007/978-1-4614-6846-2_3
Harding:2012:GECCO MT-CGP: mixed type cartesian genetic programming
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http___dx.doi.org_10.1145_2330163.2330268 http://dx.doi.org/10.1145/2330163.2330268
Harding:2012:PABA Optimizing Shape Design with Distributed Parallel Genetic Programming on GPUs
SimonHarding.html
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http___www.amazon.com_Architectures-Bioinspired-Algorithms-Computational-Intelligence_dp_3642287883 http://www.amazon.com/Architectures-Bioinspired-Algorithms-Computational-Intelligence/dp/3642287883
http___dx.doi.org_10.1007_978-3-642-28789-3_3 http://dx.doi.org/10.1007/978-3-642-28789-3_3
Harding:2013:ecgpu Cartesian Genetic Programming on the GPU
SimonHarding.html
JulianFMiller.html
https___144c912f-b777-4dc5-89cc-51238af78a13.filesusr.com_ugd_5ef763_135e2e412fdd45d7b8aed573b6a277e1.pdf https://144c912f-b777-4dc5-89cc-51238af78a13.filesusr.com/ugd/5ef763_135e2e412fdd45d7b8aed573b6a277e1.pdf
http___www.springer.com_computer_ai_book_978-3-642-37958-1 http://www.springer.com/computer/ai/book/978-3-642-37958-1
http___dx.doi.org_10.1007_978-3-642-37959-8_12 http://dx.doi.org/10.1007/978-3-642-37959-8_12
Harding:2017:miller Discovering Boolean Gates in Slime Mould
SimonHarding.html
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JurgenSchmidhuber.html
AndrewAdamatzky.html
http___dx.doi.org_10.1007_978-3-319-67997-6_15 http://dx.doi.org/10.1007/978-3-319-67997-6_15
Hardison:2008:gecco A balanced accuracy fitness function leads to robust analysis using grammatical evolution neural networks in the case of class imbalance
NicholasEHardison.html
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http___dx.doi.org_10.1145_1389095.1389159 http://dx.doi.org/10.1145/1389095.1389159
Hardison:2011:GECCO The power of quantitative grammatical evolution neural networks to detect gene-gene interactions
NicholasEHardison.html
AlisonAMotsinger.html
http___dx.doi.org_10.1145_2001576.2001618 http://dx.doi.org/10.1145/2001576.2001618
Hardy:2002:IJMPc Gene Expression Programming and One-dimensional chaotic maps
YorickHardy.html
Willi-HansSteeb.html
http___dx.doi.org_10.1142_S0129183102002912 http://dx.doi.org/10.1142/S0129183102002912
hardy05a Genetic Algorithms, Floating Point Numbers and Applications
YorickHardy.html
Willi-HansSteeb.html
RuediStoop.html
http___dx.doi.org_10.1142_S0129183105008321 http://dx.doi.org/10.1142/S0129183105008321
http___dx.doi.org_10.1142_S0129183105008321 http://dx.doi.org/10.1142/S0129183105008321
hardy10a Genetic Algorithms and Optimization Problems in Quantum Computing
YorickHardy.html
Willi-HansSteeb.html
http___dx.doi.org_10.1142_S0129183110015890 http://dx.doi.org/10.1142/S0129183110015890
http___dx.doi.org_10.1142_S0129183110015890 http://dx.doi.org/10.1142/S0129183110015890
Haridass:2010:SSST Fault tolerant Block Based Neural Networks
SaisriKrishnaHaridass.html
DavidHKHoe.html
http___dx.doi.org_10.1109_SSST.2010.5442804 http://dx.doi.org/10.1109/SSST.2010.5442804
Harman:2007:ICPC Search Based Software Engineering for Program Comprehension
MarkHarman.html
http___www.dcs.kcl.ac.uk_staff_mark_icpc07.ps http://www.dcs.kcl.ac.uk/staff/mark/icpc07.ps
harman:2010:Manifesto A Manifesto for Higher Order Mutation Testing
MarkHarman.html
YueJia.html
WilliamBLangdon.html
http___www.dcs.kcl.ac.uk_pg_jiayue_publications_papers_HarmanJL10.pdf http://www.dcs.kcl.ac.uk/pg/jiayue/publications/papers/HarmanJL10.pdf
http___dx.doi.org_10.1109_ICSTW.2010.13 http://dx.doi.org/10.1109/ICSTW.2010.13
Harman:2010:ACM Automated Patching Techniques: The Fix Is In
MarkHarman.html
http___dx.doi.org_10.1145_1735223.1735248 http://dx.doi.org/10.1145/1735223.1735248
Harman:2011:ieeeC Software Engineering Meets Evolutionary Computation
MarkHarman.html
http___dx.doi.org_10.1109_MC.2011.263 http://dx.doi.org/10.1109/MC.2011.263
Harman:2012:ASE The GISMOE challenge: Constructing the Pareto Program Surface Using Genetic Programming to Find Better Programs
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YueJia.html
DavidRobertWhite.html
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http___dx.doi.org_10.1145_2351676.2351678 http://dx.doi.org/10.1145/2351676.2351678
Harman:2013:WCRE Genetic Programming for Reverse Engineering
MarkHarman.html
WilliamBLangdon.html
WestleyWeimer.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_gismo_Harman_2013_WCRE.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/gismo/Harman_2013_WCRE.pdf
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Harman:2014:seams Genetic Improvement for Adaptive Software Engineering
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WilliamBLangdon.html
JustynaPetke.html
ImanHematiMoghadam.html
ShinYoo.html
FanWu.html
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http___dx.doi.org_10.1145_2593929.2600116 http://dx.doi.org/10.1145/2593929.2600116
Harman:2014:Babel Babel Pidgin: SBSE Can Grow and Graft Entirely New Functionality into a Real World System
MarkHarman.html
YueJia.html
WilliamBLangdon.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_gismo_Harman_2014_Babel.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/gismo/Harman_2014_Babel.pdf
http___www.springer.com_computer_swe_book_978-3-319-09939-2 http://www.springer.com/computer/swe/book/978-3-319-09939-2
http___dx.doi.org_10.1007_978-3-319-09940-8_20 http://dx.doi.org/10.1007/978-3-319-09940-8_20
Harman:2014:SPLC Search based software engineering for software product line engineering: a survey and directions for future work
MarkHarman.html
YueJia.html
JensKrinke.html
WilliamBLangdon.html
JustynaPetke.html
YuanyuanZhang.html
http___www0.cs.ucl.ac.uk_staff_m.harman_splc14.pdf http://www0.cs.ucl.ac.uk/staff/m.harman/splc14.pdf
http___dx.doi.org_10.1145_2648511.2648513 http://dx.doi.org/10.1145/2648511.2648513
Harman:2015:ICST Achievements, Open Problems and Challenges for Search Based Software Testing
MarkHarman.html
YueJia.html
YuanyuanZhang.html
http___www0.cs.ucl.ac.uk_staff_m.harman_icst15.pdf http://www0.cs.ucl.ac.uk/staff/m.harman/icst15.pdf
http___dx.doi.org_10.1109_ICST.2015.7102580 http://dx.doi.org/10.1109/ICST.2015.7102580
Harman:2015:gi GI4GI: Improving Genetic Improvement Fitness Functions
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Harman:2015:DeMobile App Store Mining and Analysis
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AnthonyFinkelstein.html
MarkHarman.html
YueJia.html
WilliamMartin.html
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YuanyuanZhang.html
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Harman:2022:APR Scaling Genetic Improvement and Automated Program Repair
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http___dx.doi.org_10.1145_3524459.3527353 http://dx.doi.org/10.1145/3524459.3527353
https___youtu.be_uAU_ySdEvks https://youtu.be/uAU_ySdEvks
Harmon:ACo:gecco2004 A Comparison of Hybrid Incremental Reuse Strategies for Reinforcement Learning in Genetic Programming
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EdwinRodriguez.html
ChristopherZhong.html
WilliamHHsu.html
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http___dx.doi.org_10.1007_b98645 http://dx.doi.org/10.1007/b98645
http___dx.doi.org_10.1007_978-3-540-24855-2_79 http://dx.doi.org/10.1007/978-3-540-24855-2_79
harn:2023:GECCOcomp A Novel Quadtree-Based Genetic Programming Search for Searchable Encryption Optimization
Po-WeiHarn.html
BoHui.html
SaiDeepthiYeddula.html
LiboSun.html
Min-TeSun.html
Wei-ShinnKu.html
http___dx.doi.org_10.1145_3583133.3590566 http://dx.doi.org/10.1145/3583133.3590566
harper:2005:CEC A Structure Preserving Crossover In Grammatical Evolution
RobinHarper.html
AlanBlair.html
http___dx.doi.org_10.1109_CEC.2005.1555012 http://dx.doi.org/10.1109/CEC.2005.1555012
Harper:2006:CECx A Self-Selecting Crossover Operator
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AlanBlair.html
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http___dx.doi.org_10.1109_CEC.2006.1688475 http://dx.doi.org/10.1109/CEC.2006.1688475
Harper_2006_CEC Dynamically Defined Functions In Grammatical Evolution
RobinHarper.html
AlanBlair.html
http___dx.doi.org_10.1109_CEC.2006.1688638 http://dx.doi.org/10.1109/CEC.2006.1688638
Harper:thesis Enhancing Grammatical Evolution
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http___handle.unsw.edu.au_1959.4_44843 http://handle.unsw.edu.au/1959.4/44843
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Harper:2010:cec Genetic Programming -To much P and not enough G?
RobinHarper.html
http___dx.doi.org_10.1109_CEC.2010.5586050 http://dx.doi.org/10.1109/CEC.2010.5586050
Harper:2010:cec2 Spatial co-evolution in Age Layered Planes (SCALP)
RobinHarper.html
http___dx.doi.org_10.1109_CEC.2010.5586342 http://dx.doi.org/10.1109/CEC.2010.5586342
Harper:2010:cec3 GE, explosive grammars and the lasting legacy of bad initialisation
RobinHarper.html
http___dx.doi.org_10.1109_CEC.2010.5586336 http://dx.doi.org/10.1109/CEC.2010.5586336
Harper:2011:GECCO Co-evolving robocode tanks
RobinHarper.html
http___dx.doi.org_10.1145_2001576.2001770 http://dx.doi.org/10.1145/2001576.2001770
Harper:2011:GECCOcomp Dynamic L-systems in GE
RobinHarper.html
http___dx.doi.org_10.1145_2001858.2001975 http://dx.doi.org/10.1145/2001858.2001975
Harper:2012:GECCO Spatial co-evolution: quicker, fitter and less bloated
RobinHarper.html
http___dx.doi.org_10.1145_2330163.2330269 http://dx.doi.org/10.1145/2330163.2330269
Harper:2014:GPEM Evolving Robocode tanks for Evo Robocode
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http___dx.doi.org_10.1007_s10710-014-9224-2 http://dx.doi.org/10.1007/s10710-014-9224-2
Harper:2021:GPEM Introducing Design Automation for Quantum Computing, Alwin Zulehner and Robert Wille
RobinHarper.html
http___dx.doi.org_10.1007_s10710-021-09407-7 http://dx.doi.org/10.1007/s10710-021-09407-7
harrak:2006:IIPWM DCT Watermarking Optimization by Genetic Programming
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ThaiDuyHien.html
YasunoriNagata.html
ZenshoNakao.html
http___link.springer.com_chapter_10.1007_3-540-33521-8_35 http://link.springer.com/chapter/10.1007/3-540-33521-8_35
http___dx.doi.org_10.1007_3-540-33521-8_35 http://dx.doi.org/10.1007/3-540-33521-8_35
Harrand:GPEM A Journey Among Java Neutral Program Variants
NicolasYvesMauriceHarrand.html
SimonAllier.html
MarcelinoRodriguez-Cancio.html
MartinMonperrus.html
BenoitBaudry.html
https___arxiv.org_abs_1901.02533 https://arxiv.org/abs/1901.02533
http___dx.doi.org_10.1007_s10710-019-09355-3 http://dx.doi.org/10.1007/s10710-019-09355-3
Harries:1997:eaossGP Exploring Alternative Operators and Search Strategies in Genetic Programming
KimHarries.html
PeterWHSmith.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_harries.gp97_paper.ps.gz http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/harries.gp97_paper.ps.gz
harries:1998:cgediass Code Growth, Explicitly Defined Introns and Alternative Selection Schemes
KimHarries.html
PeterWHSmith.html
http___www.soi.city.ac.uk_homes_peters_pub_Introns6.ps http://www.soi.city.ac.uk/homes/peters/pub/Introns6.ps
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harrigan:2004:TXL Application of high-throughput Fourier-transform infrared spectroscopy in toxicology studies: contribution to a study on the development of an animal model for idiosyncratic toxicity
GeorgeGHarrigan.html
RoxanneHLaPlante.html
GregNCosma.html
GaryCockerell.html
RoystonGoodacre.html
JaneFMaddox.html
JamesPLuyendyk.html
PatriciaEGaney.html
RobertARoth.html
http___dx.doi.org_10.1016_j.toxlet.2003.09.011 http://dx.doi.org/10.1016/j.toxlet.2003.09.011
1274094 Predicting reactions from amino acid sequences in S. cerevisiae: an evolutionary computation approach
KyleIraHarrington.html
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http___dx.doi.org_10.1145_1274000.1274094 http://dx.doi.org/10.1145/1274000.1274094
Harrington:2012:GECCOcomp Autoconstructive evolution for structural problems
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LeeSpector.html
JordanBPollack.html
Una-MayO'Reilly.html
http___dx.doi.org_10.1145_2330784.2330797 http://dx.doi.org/10.1145/2330784.2330797
Harrington:2014:ALIFE Coevolution in Hide and Seek: Camouflage and Vision
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JesseFreeman.html
JordanBPollack.html
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Harrington:2013:CEC Generative Representations for Artificial Architecture and Passive Solar Performance
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Harrington:2016:GPEM Wolfgang Banzhaf and Lidia Yamamoto: Artificial Chemistries, MIT Press, 2015
KyleIraHarrington.html
http___dx.doi.org_10.1007_s10710-016-9271-y http://dx.doi.org/10.1007/s10710-016-9271-y
Harris:2009:HNO Potential for Raman Spectroscopy to Provide Cancer Screening Using a Peripheral Blood Sample
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Harris:1996:edgegpRN Evolving Edge Detectors
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BernardBuxton.html
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Harris:1996:edgegp Evolving Edge Detectors with Genetic Programming
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BernardBuxton.html
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Harris:1996:gpcomRN GP-COM: A Distributed, Component-Based Genetic Programming System in C++
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Harris:1996:gpcom GP-COM: A Distributed, Component-Based Genetic Programming System in C++
ChristopherHarris.html
BernardBuxton.html
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Harris:1997:ledGPpsa Low-level Edge Detection Using Genetic Programming: performance, specificity and application to real-world signals
ChristopherHarris.html
BernardBuxton.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_rn_97_7.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/rn_97_7.pdf
harris:1997:STGPphtexc Strongly Types GP to promote hierarchy through explicit syntax constraints
ChristopherHarris.html
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harris:1997:ehSTGP Enforcing Hierarchy on Solutions with Strongly Typed Genetic Programming
ChristopherHarris.html
harris:thesis An investigation into the Application of Genetic Programming techniques to Signal Analysis and Feature Detection
ChristopherHarris.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_c.harris_thesisps.zip http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/c.harris/thesisps.zip
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Harris:2003:IJRBM Velocity predictions in compound channels with vegetated floodplains using genetic programming
EmmaLowriHarris.html
VladanBabovic.html
RogerAFalconer.html
http___dx.doi.org_10.1080_15715124.2003.9635198 http://dx.doi.org/10.1080/15715124.2003.9635198
Harris:2015:GECCOcomp A Comparison of Genetic Programming Variants for Hyper-Heuristics
SeanHarris.html
TravisBueter.html
DanielRTauritz.html
http___doi.acm.org_10.1145_2739482.2768456 http://doi.acm.org/10.1145/2739482.2768456
http___dx.doi.org_10.1145_2739482.2768456 http://dx.doi.org/10.1145/2739482.2768456
Harris:2011:PLDI Spreadsheet table transformations from examples
WilliamRHarris.html
SumitGulwani.html
http___dx.doi.org_10.1145_1993498.1993536 http://dx.doi.org/10.1145/1993498.1993536
Harris:2011:SIGPlan Spreadsheet table transformations from examples
WilliamRHarris.html
SumitGulwani.html
http___dx.doi.org_10.1145_1993316.1993536 http://dx.doi.org/10.1145/1993316.1993536
1274068 Genetically programmed learning classifier system description and results
GregoryAnthonyHarrison.html
EricWWorden.html
http___gpbib.cs.ucl.ac.uk_gecco2007_docs_p2729.pdf http://gpbib.cs.ucl.ac.uk/gecco2007/docs/p2729.pdf
http___dx.doi.org_10.1145_1274000.1274068 http://dx.doi.org/10.1145/1274000.1274068
DBLP:conf/ppsn/HarrisonAB22 Gene-pool Optimal Mixing in Cartesian Genetic Programming
JoeHarrison.html
TanjaAlderliesten.html
PeterANBosman.html
https___dblp.org_rec_conf_ppsn_HarrisonAB22.bib https://dblp.org/rec/conf/ppsn/HarrisonAB22.bib
http___dx.doi.org_10.1007_978-3-031-14721-0_2 http://dx.doi.org/10.1007/978-3-031-14721-0_2
harrison:2023:GECCO Mini-Batching, Gradient-Clipping, First- versus Second-Order: What Works in Gradient-Based Coefficient Optimisation for Symbolic Regression?
JoeHarrison.html
MarcoVirgolin.html
TanjaAlderliesten.html
PeterANBosman.html
http___dx.doi.org_10.1145_3583131.3590368 http://dx.doi.org/10.1145/3583131.3590368
Harrison:2015:evoApplications Investigating Fitness Measures for the Automatic Construction of Graph Models
KyleRobertHarrison.html
MarioVentresca.html
BeatriceOmbuki-Berman.html
http___dx.doi.org_10.1007_978-3-319-16549-3_16 http://dx.doi.org/10.1007/978-3-319-16549-3_16
Harrison:2015:JCS A meta-analysis of centrality measures for comparing and generating complex network models
KyleRobertHarrison.html
MarioVentresca.html
BeatriceOmbuki-Berman.html
http___dx.doi.org_10.1016_j.jocs.2015.09.011 http://dx.doi.org/10.1016/j.jocs.2015.09.011
http___www.sciencedirect.com_science_article_pii_S1877750315300259 http://www.sciencedirect.com/science/article/pii/S1877750315300259
harrison:2004:eurogp Co-evolving Faults to Improve the Fault Tolerance of Sorting Networks
MichaelLHarrison.html
JamesAFoster.html
http___dx.doi.org_10.1007_978-3-540-24650-3_6 http://dx.doi.org/10.1007/978-3-540-24650-3_6
Hart:2016:EC A Hyper-Heuristic Ensemble Method for Static Job-Shop Scheduling
EmmaHart.html
KevinSim.html
http___dx.doi.org_10.1162_EVCO_a_00183 http://dx.doi.org/10.1162/EVCO_a_00183
Hart:2017:GECCO A Hybrid Method for Feature Construction and Selection to Improve Wind-damage Prediction in the Forestry Sector
EmmaHart.html
KevinSim.html
BarryGardiner.html
KanaKamimura.html
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http___dx.doi.org_10.1145_3071178.3071217 http://dx.doi.org/10.1145/3071178.3071217
hart:2018:stormAI Storm damage to forests costs billions: here's how artificial intelligence can help
EmmaHart.html
BarryGardiner.html
https___theconversation.com_storm-damage-to-forests-costs-billions-heres-how-artificial-intelligence-can-help-95299 https://theconversation.com/storm-damage-to-forests-costs-billions-heres-how-artificial-intelligence-can-help-95299
https___bit.ly_2smvN2x https://bit.ly/2smvN2x
hart:1995:TAGPCMPE The Application of Genetic Programming to Cooperative Movement Planning and Execution
JonathanJosephHart.html
hart:2002:TR02-06 Evolving Software with Multiple Outputs and Multiple Populations
JohnHart.html
MartinJShepperd.html
http___dec.bournemouth.ac.uk_ESERG_Technical_Reports_TR02-06_TR02-06.pdf http://dec.bournemouth.ac.uk/ESERG/Technical_Reports/TR02-06/TR02-06.pdf
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hart:2002:gecco:lbp Evolving Software with Multiple Outputs and Multiple Populations
JohnHart.html
MartinJShepperd.html
hart:thesis Automatic control program creation using concurrent Evolutionary Computing
JohnHart.html
http___eprints.bournemouth.ac.uk_394_ http://eprints.bournemouth.ac.uk/394/
http___eprints.bournemouth.ac.uk_394_1_John_Hart.pdf http://eprints.bournemouth.ac.uk/394/1/John_Hart.pdf
hart:2004:eurogpTR The Evolution of Concurrent Control Software Using Genetic Programming
JohnHart.html
MartinJShepperd.html
http___dec.bournemouth.ac.uk_ESERG_Technical_Reports_TR03-08_TR03-08.pdf http://dec.bournemouth.ac.uk/ESERG/Technical_Reports/TR03-08/TR03-08.pdf
hart:2004:eurogp The Evolution of Concurrent Control Software Using Genetic Programming
JohnHart.html
MartinJShepperd.html
http___dx.doi.org_10.1007_978-3-540-24650-3_27 http://dx.doi.org/10.1007/978-3-540-24650-3_27
Harter:2017:GECCO Asynchronous Parallel Cartesian Genetic Programming
AdamHarter.html
DanielRTauritz.html
WilliamMSiever.html
http___doi.acm.org_10.1145_3067695.3084210 http://doi.acm.org/10.1145/3067695.3084210
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Harter:2019:GECCOcomp Empirical evidence of the effectiveness of primitive granularity control for hyper-heuristics
AdamHarter.html
AaronSPope.html
DanielRTauritz.html
ChrisRawlings.html
http___dx.doi.org_10.1145_3319619.3326860 http://dx.doi.org/10.1145/3319619.3326860
HARUN:2023:HH Chapter 26 - Sediment transport with soft computing application for tropical rivers
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AminuddinAbGhani.html
SaeidEslamian.html
ChunKiatChang.html
http___dx.doi.org_10.1016_B978-0-12-821962-1.00017-9 http://dx.doi.org/10.1016/B978-0-12-821962-1.00017-9
https___www.sciencedirect.com_science_article_pii_B9780128219621000179 https://www.sciencedirect.com/science/article/pii/B9780128219621000179
harvey:1998:bcGP Byte Code Genetic Programming
BradHarvey.html
JamesAFoster.html
DeborahFrincke.html
http___www.csds.uidaho.edu_deb_jvm.pdf http://www.csds.uidaho.edu/deb/jvm.pdf
http___citeseer.ist.psu.edu_547985.html http://citeseer.ist.psu.edu/547985.html
harvey:1999:TBCGP Towards Byte Code Genetic Programming
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JamesAFoster.html
DeborahFrincke.html
http___citeseer.ist.psu.edu_468509.html http://citeseer.ist.psu.edu/468509.html
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http___gpbib.cs.ucl.ac.uk_gecco1999_GP-418.ps http://gpbib.cs.ucl.ac.uk/gecco1999/GP-418.ps
Harvey:2013:HMSBS Automated extraction of damage features through genetic programming
DustinYHarvey.html
MichaelDTodd.html
http___dx.doi.org_10.1117_12.2009739 http://dx.doi.org/10.1117/12.2009739
Harvey:thesis Automated Feature Design for Time Series Classification by Genetic Programming
DustinYHarvey.html
http___escholarship.org_uc_item_1864t693.pdf http://escholarship.org/uc/item/1864t693.pdf
http___www.escholarship.org_uc_item_1864t693 http://www.escholarship.org/uc/item/1864t693
Harvey:2014:ieeeTEC Automated Feature Design for Numeric Sequence Classification by Genetic Programming
DustinYHarvey.html
MichaelDTodd.html
http___dx.doi.org_10.1109_TEVC.2014.2341451 http://dx.doi.org/10.1109/TEVC.2014.2341451
harvey:2014:TMAV Automated Selection of Damage Detection Features by Genetic Programming
DustinYHarvey.html
MichaelDTodd.html
http___link.springer.com_chapter_10.1007_978-1-4614-6585-0_2 http://link.springer.com/chapter/10.1007/978-1-4614-6585-0_2
http___dx.doi.org_10.1007_978-1-4614-6585-0_2 http://dx.doi.org/10.1007/978-1-4614-6585-0_2
conf/evoW/HarveyPBTPYVSB00 Finding Golf Courses: The Ultra High Tech Approach
NealRHarvey.html
SimonPerkins.html
StevenPBrumby.html
JamesTheiler.html
ReidBPorter.html
ACodyYoung.html
AnilKVarghese.html
JohnJSzymanski.html
JeffreyJBloch.html
http___dx.doi.org_10.1007_3-540-45561-2_6 http://dx.doi.org/10.1007/3-540-45561-2_6
Harvey:2000:SPIE Parallel evolution of image processing tools for multispectral imagery
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StevenPBrumby.html
SimonPerkins.html
ReidBPorter.html
JamesTheiler.html
ACodyYoung.html
JohnJSzymanski.html
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oai:CiteSeerPSU:561309 Comparison of GENIE and conventional supervised classifiers for multispectral image feature extraction
NealRHarvey.html
JamesTheiler.html
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http___nis-www.lanl.gov__simes_webdocs_harveyIEEE_TGARS2001.pdf http://nis-www.lanl.gov/~simes/webdocs/harveyIEEE_TGARS2001.pdf
http___citeseer.ist.psu.edu_561309.html http://citeseer.ist.psu.edu/561309.html
http___dx.doi.org_10.1109_36.992801 http://dx.doi.org/10.1109/36.992801
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MichaelHarwerth.html
http___dx.doi.org_10.1007_978-3-642-20407-4_21 http://dx.doi.org/10.1007/978-3-642-20407-4_21
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TakuHasegawa.html
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http___doi.acm.org_10.1145_3067695.3076048 http://doi.acm.org/10.1145/3067695.3076048
http___dx.doi.org_10.1145_3067695.3076048 http://dx.doi.org/10.1145/3067695.3076048
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http___dx.doi.org_10.3233_978-1-61499-900-3-57 http://dx.doi.org/10.3233/978-1-61499-900-3-57
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YoshihikoHasegawa.html
HitoshiIba.html
http___link.springer.com_chapter_10.1007_978-3-540-30220-9_27 http://link.springer.com/chapter/10.1007/978-3-540-30220-9_27
http___dx.doi.org_10.1007_978-3-540-30220-9_27 http://dx.doi.org/10.1007/978-3-540-30220-9_27
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HitoshiIba.html
http___dx.doi.org_10.1109_CEC.2006.1688469 http://dx.doi.org/10.1109/CEC.2006.1688469
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YoshihikoHasegawa.html
HitoshiIba.html
http___www.iba.k.u-tokyo.ac.jp__hasegawa_hasegawa_aspgp2006.pdf http://www.iba.k.u-tokyo.ac.jp/~hasegawa/hasegawa_aspgp2006.pdf
http___gpbib.cs.ucl.ac.uk_aspgp06_hasegawa.pdf http://gpbib.cs.ucl.ac.uk/aspgp06/hasegawa.pdf
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http___dx.doi.org_10.1109_CEC.2007.4424585 http://dx.doi.org/10.1109/CEC.2007.4424585
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YoshihikoHasegawa.html
HitoshiIba.html
http___dx.doi.org_10.1109_TEVC.2009.2015574 http://dx.doi.org/10.1109/TEVC.2009.2015574
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YoshihikoHasegawa.html
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http___dx.doi.org_10.1016_j.atmosres.2015.12.002 http://dx.doi.org/10.1016/j.atmosres.2015.12.002
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TakahiroHashimoto.html
TakeshiTsujimura.html
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http___dx.doi.org_10.1109_SCIS-ISIS.2014.7044713 http://dx.doi.org/10.1109/SCIS-ISIS.2014.7044713
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MuhammadZHashmi.html
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https___researchspace.auckland.ac.nz_bitstream_handle_2292_10876_02whole.pdf https://researchspace.auckland.ac.nz/bitstream/handle/2292/10876/02whole.pdf
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EdwardHaslam.html
BingXue.html
MengjieZhang.html
http___dx.doi.org_10.1109_CEC.2016.7744245 http://dx.doi.org/10.1109/CEC.2016.7744245
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OsmanHassabElgawi.html
http___dx.doi.org_10.1007_s11023-012-9274-2 http://dx.doi.org/10.1007/s11023-012-9274-2
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GhadaHassan.html
ChristopherDClack.html
http___gpbib.cs.ucl.ac.uk_gecco2008_docs_p1507.pdf http://gpbib.cs.ucl.ac.uk/gecco2008/docs/p1507.pdf
http___dx.doi.org_10.1145_1389095.1389387 http://dx.doi.org/10.1145/1389095.1389387
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GhadaHassan.html
http___gpbib.cs.ucl.ac.uk_gecco2008_docs_p1859.pdf http://gpbib.cs.ucl.ac.uk/gecco2008/docs/p1859.pdf
http___dx.doi.org_10.1145_1388969.1388990 http://dx.doi.org/10.1145/1388969.1388990
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http___discovery.ucl.ac.uk_20456_1_20456.pdf http://discovery.ucl.ac.uk/20456/1/20456.pdf
https___discovery.ucl.ac.uk_id_eprint_20456_ https://discovery.ucl.ac.uk/id/eprint/20456/
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http___dx.doi.org_10.1007_978-3-031-30229-9_20 http://dx.doi.org/10.1007/978-3-031-30229-9_20
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YasserFouadHassan.html
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http___dx.doi.org_10.1108_03684920410514544 http://dx.doi.org/10.1108/03684920410514544
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YasserFouadHassan.html
https___www.researchgate.net_publication_220085298_Rough_Set_Genetic_Programming https://www.researchgate.net/publication/220085298_Rough_Set_Genetic_Programming
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KatsujiUosaki.html
http___dx.doi.org_10.1109_CEC.2001.934359 http://dx.doi.org/10.1109/CEC.2001.934359
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JustinCHaugh.html
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FlorianHauser.html
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http___link.springer.com_article_10.1007_s10614-014-9439-6 http://link.springer.com/article/10.1007/s10614-014-9439-6
http___dx.doi.org_10.1007_s10614-014-9439-6 http://dx.doi.org/10.1007/s10614-014-9439-6
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http___nn.cs.utexas.edu_downloads_papers_hausknecht.gecco12.pdf http://nn.cs.utexas.edu/downloads/papers/hausknecht.gecco12.pdf
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http___dx.doi.org_10.1145_3583133.3590577 http://dx.doi.org/10.1145/3583133.3590577
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VojtechHavlicek.html
MartinHanel.html
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http___link.springer.com_article_10.1007_s00607-013-0298-0 http://link.springer.com/article/10.1007/s00607-013-0298-0
http___dx.doi.org_10.1007_s00607-013-0298-0 http://dx.doi.org/10.1007/s00607-013-0298-0
http___dx.doi.org_10.1007_s00607-013-0298-0 http://dx.doi.org/10.1007/s00607-013-0298-0
haynes:1994:masters A Simulation of Adaptive Agents in a Hostile Environment
ThomasDHaynes.html
http___citeseer.ist.psu.edu_2240.html http://citeseer.ist.psu.edu/2240.html
Hayes:1994:ecs Evolving Cooperation Strategies
ThomasDHaynes.html
RogerLWainwright.html
SandipSen.html
http___www.mcs.utulsa.edu__rogerw_papers_Haynes-icmas95.pdf http://www.mcs.utulsa.edu/~rogerw/papers/Haynes-icmas95.pdf
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ThomasDHaynes.html
RogerLWainwright.html
http___www.mcs.utulsa.edu__rogerw_papers_Haynes-sac95.ps http://www.mcs.utulsa.edu/~rogerw/papers/Haynes-sac95.ps
http___citeseer.ist.psu.edu_2240.html http://citeseer.ist.psu.edu/2240.html
http___dx.doi.org_10.1145_315891.316007 http://dx.doi.org/10.1145/315891.316007
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ThomasDHaynes.html
RogerLWainwright.html
SandipSen.html
http___www.mcs.utulsa.edu__rogerw_papers_Haynes-icmas95.pdf http://www.mcs.utulsa.edu/~rogerw/papers/Haynes-icmas95.pdf
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ThomasDHaynes.html
RogerLWainwright.html
SandipSen.html
DaleASchoenefeld.html
http___www.mcs.utulsa.edu__rogerw_papers_Haynes-icga95.pdf http://www.mcs.utulsa.edu/~rogerw/papers/Haynes-icga95.pdf
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ThomasDHaynes.html
SandipSen.html
http___coblitz.codeen.org_3125_citeseer.ist.psu.edu_cache_papers_cs_734_http_zSzzSzwww.cs.twsu.eduzSz_hayneszSzicjai95.pdf_haynes96evolving.pdf http://coblitz.codeen.org:3125/citeseer.ist.psu.edu/cache/papers/cs/734/http:zSzzSzwww.cs.twsu.eduzSz~hayneszSzicjai95.pdf/haynes96evolving.pdf
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ThomasDHaynes.html
SandipSen.html
DaleASchoenefeld.html
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http___www.aaai.org_Papers_Symposia_Fall_1995_FS-95-01_FS95-01-004.pdf http://www.aaai.org/Papers/Symposia/Fall/1995/FS-95-01/FS95-01-004.pdf
http___www.mcs.utulsa.edu__rogerw_papers_Haynes-team.pdf http://www.mcs.utulsa.edu/~rogerw/papers/Haynes-team.pdf
http___www.aaai.org_Library_Symposia_Fall_fs95-01.php http://www.aaai.org/Library/Symposia/Fall/fs95-01.php
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ThomasDHaynes.html
SandipSen.html
http___dx.doi.org_10.1007_3-540-60923-7_22 http://dx.doi.org/10.1007/3-540-60923-7_22
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DaleASchoenefeld.html
RogerLWainwright.html
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haynes:1996:aigp2 Type Inheritance in Strongly Typed Genetic Programming
ThomasDHaynes.html
DaleASchoenefeld.html
RogerLWainwright.html
http___www.mcs.utulsa.edu__rogerw_papers_Haynes-hier.pdf http://www.mcs.utulsa.edu/~rogerw/papers/Haynes-hier.pdf
http___ieeexplore.ieee.org_xpl_articleDetails.jsp_tp__arnumber_6277530 http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6277530
http___dx.doi.org_10.7551_mitpress_1109.003.0024 http://dx.doi.org/10.7551/mitpress/1109.003.0024
haynes:1996:esr Entailment for Specification Refinement
ThomasDHaynes.html
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LeslieKnight.html
RogerLWainwright.html
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http___cognet.mit.edu_library_books_view_isbn_0262611279 http://cognet.mit.edu/library/books/view?isbn=0262611279
Haynes:1995:CDG Clique Detection via Genetic Programming
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http___cognet.mit.edu_sites_default_files_books_9780262315876_pdfs_9780262315876_chap65.pdf http://cognet.mit.edu/sites/default/files/books/9780262315876/pdfs/9780262315876_chap65.pdf
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Haynes:1996:DCSa Duplication of Coding Segments in Genetic Programming
ThomasDHaynes.html
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Haynes:1996:DCSb Duplication of Coding Segments in Genetic Programming
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Haynes:1996:CF Cooperation of the Fittest
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haynes:1996:cms Collective Memory Search
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haynes1996:cf Cooperation of the Fittest
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SandipSen.html
haynes:1997:cms Collective Memory Search
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Haynes:1997:adskr On-line Adaptation of Search via Knowledge Reuse
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Haynes:1997:caet Crossover Operators for Evolving A Team
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Haynes:1997:ccas Competitive Computational Agent Society
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haynes:1997:pbbGP Phenotypical Building Blocks for Genetic Programming
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Haynes:1997:aaaiMAL Augmenting Collective Adaptation with Simple Process Agents
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http___www.aaai.org_Papers_Workshops_1997_WS-97-03_WS97-03-008.pdf http://www.aaai.org/Papers/Workshops/1997/WS-97-03/WS97-03-008.pdf
Haynes:1998:CRS A Comparision of Random Search versus Genetic Programming as Engines for Collective Adaptation
ThomasDHaynes.html
http___dx.doi.org_10.1007_BFb0040819 http://dx.doi.org/10.1007/BFb0040819
haynes:thesis Collective Adaptation: The Sharing of Building Blocks
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http___tulsalabs.com_Documents_thesisDS.pdf http://tulsalabs.com/Documents/thesisDS.pdf
http___blogs.tulsalabs.com__p_274 http://blogs.tulsalabs.com/?p=274
haynes:1998:acaspa Augmenting Collective Adaptation with Simple Process Agents
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http___citeseer.ist.psu.edu_haynes97augmenting.html http://citeseer.ist.psu.edu/haynes97augmenting.html
haynes:1998:prdec Perturbing the Representation, Decoding, and Evaluation of Chromosomes
ThomasDHaynes.html
http___citeseer.ist.psu.edu_cache_papers_cs_2284_http_zSzzSzadept.cs.twsu.eduzSz_thomaszSzcook.pdf_haynes98perturbing.pdf http://citeseer.ist.psu.edu/cache/papers/cs/2284/http:zSzzSzadept.cs.twsu.eduzSz~thomaszSzcook.pdf/haynes98perturbing.pdf
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haynes:1998:caxcs Collective Adaptation: The Exchange of Coding Segments
ThomasDHaynes.html
http___www.mitpressjournals.org_doi_pdfplus_10.1162_evco.1998.6.4.311 http://www.mitpressjournals.org/doi/pdfplus/10.1162/evco.1998.6.4.311
http___dx.doi.org_10.1162_evco.1998.6.4.311 http://dx.doi.org/10.1162/evco.1998.6.4.311
Haynes:1999:DCAa Distributed Collective Adaptation Applied to a Hard Combinatorial Optimization Problem
ThomasDHaynes.html
http___delivery.acm.org_10.1145_300000_298377_p339-haynes.pdf http://delivery.acm.org/10.1145/300000/298377/p339-haynes.pdf
http___dx.doi.org_10.1145_298151.298377 http://dx.doi.org/10.1145/298151.298377
Haynes:1999:DCAb Distributing Collective Adaptation via Message Passing
ThomasDHaynes.html
http___dx.doi.org_10.1145_298151.298429 http://dx.doi.org/10.1145/298151.298429
haynes:1999:fogp Foundations of Genetic Programming
ThomasDHaynes.html
WilliamBLangdon.html
Una-MayO'Reilly.html
RiccardoPoli.html
JustinianRosca.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_fogp_workshop.html http://www.cs.ucl.ac.uk/staff/W.Langdon/fogp/workshop.html
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MatthewHayslep.html
EdKeedwell.html
RaziyehFarmani.html
http___dx.doi.org_10.1145_3583131.3590499 http://dx.doi.org/10.1145/3583131.3590499
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RafaelRamirez.html
EstebanMaestre.html
AlfonsoPerez.html
AntonioPertusa.html
http___dx.doi.org_10.1007_11732242_64 http://dx.doi.org/10.1007/11732242_64
Hazell:2008:geccocomp Towards an objective assessment of Alzheimer's disease: the application of a novel evolutionary algorithm in the analysis of figure copying tasks
AlexHazell.html
StephenLSmith.html
http___gpbib.cs.ucl.ac.uk_gecco2008_docs_p2073.pdf http://gpbib.cs.ucl.ac.uk/gecco2008/docs/p2073.pdf
http___dx.doi.org_10.1145_1388969.1389024 http://dx.doi.org/10.1145/1388969.1389024
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MohamedHazgui.html
HaythemGhazouani.html
WalidBarhoumi.html
https___doi.org_10.1007_s00371-020-02028-8 https://doi.org/10.1007/s00371-020-02028-8
http___dx.doi.org_10.1007_s00371-020-02028-8 http://dx.doi.org/10.1007/s00371-020-02028-8
https___dblp.org_rec_journals_vc_HazguiGB22.bib https://dblp.org/rec/journals/vc/HazguiGB22.bib
he:2005:EH New Research on Scalability of Lossless Image Compression by GP Engine
JingsongHe.html
XufaWang.html
MinZhang.html
JiyingWang.html
QianshengFang.html
http___dx.doi.org_10.1109_EH.2005.35 http://dx.doi.org/10.1109/EH.2005.35
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JingsongHe.html
JinYin.html
http___dx.doi.org_10.1007_s10710-019-09369-x http://dx.doi.org/10.1007/s10710-019-09369-x
He:2016:SC Model approach to grammatical evolution: deep-structured analyzing of model and representation
PeiHe.html
ZelinDeng.html
ChongzhiGao.html
XiuniWang.html
JinLi2.html
https___rdcu.be_drca7 https://rdcu.be/drca7
http___dx.doi.org_10.1007_s00500-016-2130-1 http://dx.doi.org/10.1007/s00500-016-2130-1
He:2010:CIKM Directly optimizing evaluation measures in learning to rank based on the clonal selection algorithm
QiangHe.html
JunMa.html
ShuaiqiangWang.html
http___dx.doi.org_10.1145_1871437.1871644 http://dx.doi.org/10.1145/1871437.1871644
He:2006:ciea Classification of Multi-spectral/Hyperspectral Data using Genetic Programming and Error-correcting Output Codes
MingyiHe.html
YifanZhang.html
YuzhenXie.html
NaLiang.html
ChangyunWen.html
http___dx.doi.org_10.1109_ICIEA.2006.257153 http://dx.doi.org/10.1109/ICIEA.2006.257153
He3:2008:cec Formality Based Genetic Programming
PeiHe.html
Li-ShanKang.html
MingFu.html
http___dx.doi.org_10.1109_CEC.2008.4631354 http://dx.doi.org/10.1109/CEC.2008.4631354
journals/chinaf/HeJW11 Modeling grammatical evolution by automaton
PeiHe.html
ColinGJohnson.html
HouFengWang.html
http___dx.doi.org_10.1007_s11432-011-4411-8 http://dx.doi.org/10.1007/s11432-011-4411-8
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PeiHe.html
Li-ShanKang.html
ColinGJohnson.html
ShiYing.html
http___dx.doi.org_10.1007_s11432-011-4200-4 http://dx.doi.org/10.1007/s11432-011-4200-4
He:2015:SC Model approach to grammatical evolution: theory and case study
PeiHe.html
ZelinDeng.html
HouFengWang.html
ZhusongLiu.html
http___dx.doi.org_10.1007_s00500-015-1710-9 http://dx.doi.org/10.1007/s00500-015-1710-9
He:2013:IJCAI Learning Optimal Auction Mechanism in Sponsored Search
DiHe.html
WeiChen.html
LiweiWang.html
Tie-yanLiu.html
http___arxiv.org_abs_1406.0728 http://arxiv.org/abs/1406.0728
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ShixinHe.html
XuxiangWang.html
HaiboBai.html
ZhiweiXu.html
DanMa.html
http___dx.doi.org_10.1016_j.jmrt.2021.08.128 http://dx.doi.org/10.1016/j.jmrt.2021.08.128
https___www.sciencedirect.com_science_article_pii_S2238785421009534 https://www.sciencedirect.com/science/article/pii/S2238785421009534
he:2022:GECCO Taylor Genetic Programming for Symbolic Regression
BaiheHe.html
QiangLu.html
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ZhiguangWang.html
http___dx.doi.org_10.1145_3512290.3528757 http://dx.doi.org/10.1145/3512290.3528757
https___vimeo.com_724011976 https://vimeo.com/724011976
https___github.com_KGAE-CUP_TaylorGP https://github.com/KGAE-CUP/TaylorGP
he:2023:LAHS Fitness Landscape Analysis of Genetic Programming Search Spaces with Local Optima Networks
YifanHe.html
FerranteNeri.html
http___dx.doi.org_10.1145_3583133.3596305 http://dx.doi.org/10.1145/3583133.3596305
he:2022:GECCOcomp Incorporating Sub-programs as Knowledge in Program Synthesis by PushGP and Adaptive Replacement Mutation
YifanHe.html
ClausdeCastroAranha.html
TetsuyaSakurai.html
http___dx.doi.org_10.1145_3520304.3528891 http://dx.doi.org/10.1145/3520304.3528891
headleand:2014:RDIS Benchmarking Grammar-Based Genetic Programming Algorithms
ChristopherJHeadleand.html
LlyrApCenydd.html
WilliamJTeahan.html
http___link.springer.com_chapter_10.1007_978-3-319-12069-0_9 http://link.springer.com/chapter/10.1007/978-3-319-12069-0_9
http___dx.doi.org_10.1007_978-3-319-12069-0_9 http://dx.doi.org/10.1007/978-3-319-12069-0_9
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JeffHeaton.html
http___www.jmlr.org_papers_v16_ http://www.jmlr.org/papers/v16/
http___jmlr.org_papers_v16_heaton15a.html http://jmlr.org/papers/v16/heaton15a.html
http___www.jmlr.org_papers_volume16_heaton15a_heaton15a.pdf http://www.jmlr.org/papers/volume16/heaton15a/heaton15a.pdf
Heaton:thesis Automated Feature Engineering for Deep Neural Networks with Genetic Programming
JeffHeaton.html
https___search.proquest.com_docview_1889190846_accountid_14511 https://search.proquest.com/docview/1889190846?accountid=14511
https___search.proquest.com_docview_1889190846_pq-origsite_gscholar https://search.proquest.com/docview/1889190846?pq-origsite=gscholar
http___nsuworks.nova.edu_gscis_etd_994_ http://nsuworks.nova.edu/gscis_etd/994/
https___www.researchgate.net_publication_316285310_Automated_Feature_Engineering_for_Deep_Neural_Networks_with_Genetic_Programming https://www.researchgate.net/publication/316285310_Automated_Feature_Engineering_for_Deep_Neural_Networks_with_Genetic_Programming
Heaton:GPEM:deep_learning Ian Goodfellow, Yoshua Bengio, and Aaron Courville: Deep learning
JeffHeaton.html
http___dx.doi.org_10.1007_s10710-017-9314-z http://dx.doi.org/10.1007/s10710-017-9314-z
Heaton:2019:GPEM Evolving continuous cellular automata for aesthetic objectives
JeffHeaton.html
http___dx.doi.org_10.1007_s10710-018-9336-1 http://dx.doi.org/10.1007/s10710-018-9336-1
HEBBALAGUPPAEKRISHNASHETTY:2021:CSR Cognitive computing models for estimation of reference evapotranspiration: A review
PradeepHebbalaguppaeKrishnashetty.html
JasmaBalasangameshwara.html
SheshshayeeSreeman.html
SujeetDesai.html
ArchanaBengaluruKantharaju.html
http___dx.doi.org_10.1016_j.cogsys.2021.07.012 http://dx.doi.org/10.1016/j.cogsys.2021.07.012
https___www.sciencedirect.com_science_article_pii_S1389041721000620 https://www.sciencedirect.com/science/article/pii/S1389041721000620
Hecker200986 Gene regulatory network inference: Data integration in dynamic models--A review
MichaelHecker.html
SandroLambeck.html
SusanneToepfer.html
EugenevanSomeren.html
ReinhardGuthke.html
http___dx.doi.org_10.1016_j.biosystems.2008.12.004 http://dx.doi.org/10.1016/j.biosystems.2008.12.004
http___www.sciencedirect.com_science_article_B6T2K-4V7MSTS-1_2_db669ac3459da19bab3535dc038303d5 http://www.sciencedirect.com/science/article/B6T2K-4V7MSTS-1/2/db669ac3459da19bab3535dc038303d5
Hedar:2010:ICCTD Scatter Programming
Abdel-RahmanHedar.html
MostafaKamelOsman.html
http___dx.doi.org_10.1109_ICCTD.2010.5645839 http://dx.doi.org/10.1109/ICCTD.2010.5645839
journals/ijitdm/HedarMF11 Tabu Programming: a New Problem Solver through Adaptive Memory Programming over Tree Data Structures
Abdel-RahmanHedar.html
EmadHAMabrouk.html
MasaoFukushima.html
http___dx.doi.org_10.1142_S0219622011004373 http://dx.doi.org/10.1142/S0219622011004373
Hedar:2015:ieee/acisSNPD Hybrid evolutionary algorithms for data classification in intrusion detection systems
Abdel-RahmanHedar.html
MohamedAOmer.html
AhmedFAl-Sadek.html
AdelASewisy.html
http___dx.doi.org_10.1109_SNPD.2015.7176208 http://dx.doi.org/10.1109/SNPD.2015.7176208
Hedberg:2005:IS Evolutionary computing: the rise of electronic breeding
SaraResseHedberg.html
http___dx.doi.org_10.1109_MIS.2005.104 http://dx.doi.org/10.1109/MIS.2005.104
heddad:evows04 Evolving Regular Expression-based Sequence Classifiers for Protein Nuclear Localisation
AmineHeddad.html
MarkusBrameier.html
RobertMMacCallum.html
http___www.sbc.su.se__maccallr_publications_heddad-evobio2004.pdf http://www.sbc.su.se/~maccallr/publications/heddad-evobio2004.pdf
http___dx.doi.org_10.1007_978-3-540-24653-4_4 http://dx.doi.org/10.1007/978-3-540-24653-4_4
HEDDAM:2022:CEES Chapter 1 - Predicting dissolved oxygen concentration in river using new advanced machines learning: Long-short term memory (LSTM) deep learning
SalimHeddam.html
SungwonKim.html
AliDanandehMehr.html
MohammadZounemat-Kermani.html
AnuragMalik.html
AhmedElbeltagi.html
OzgurKisi.html
http___dx.doi.org_10.1016_B978-0-323-89861-4.00031-2 http://dx.doi.org/10.1016/B978-0-323-89861-4.00031-2
https___www.sciencedirect.com_science_article_pii_B9780323898614000312 https://www.sciencedirect.com/science/article/pii/B9780323898614000312
Hedman:2002:gecco Sensing And Direction In Locomotion Learning With A Random Morphology Robot
KarlHedman.html
DavidPersson.html
PerSkoglund.html
DanWiklund.html
KristerWolff.html
PeterNordin.html
http___gpbib.cs.ucl.ac.uk_gecco2002_ROB211.ps http://gpbib.cs.ucl.ac.uk/gecco2002/ROB211.ps
http___gpbib.cs.ucl.ac.uk_gecco2002_ROB211.pdf http://gpbib.cs.ucl.ac.uk/gecco2002/ROB211.pdf
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_gecco2002_gecco-2002-23.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/gecco2002/gecco-2002-23.pdf
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YuvalHeffetz.html
RomanVainshtein.html
GiladKatz.html
LiorRokach.html
https___dblp.org_rec_conf_kdd_HeffetzVKR20.bib https://dblp.org/rec/conf/kdd/HeffetzVKR20.bib
https___doi.org_10.1145_3394486.3403261 https://doi.org/10.1145/3394486.3403261
http___dx.doi.org_10.1145_3394486.3403261 http://dx.doi.org/10.1145/3394486.3403261
HEGAB:2021:ASC Analysis, modeling, and multi-objective optimization of machining Inconel 718 with nano-additives based minimum quantity coolant
HussienHegab.html
ASalem.html
ShahryarRahnamayan.html
HossamAKishawy.html
http___dx.doi.org_10.1016_j.asoc.2021.107416 http://dx.doi.org/10.1016/j.asoc.2021.107416
https___www.sciencedirect.com_science_article_pii_S1568494621003392 https://www.sciencedirect.com/science/article/pii/S1568494621003392
Heiberg:1997:lbn Learning Bayesian Networks Using a Genetic Algorithm
VilhelmHeiberg.html
oai:biomedcentral.com:1471-2156-7-23 The challenge for genetic epidemiologists: how to analyze large numbers of SNPs in relation to complex diseases
AGeertHeidema.html
JolandaMABoer.html
NicoNagelkerke.html
EdwinCMMariman.html
DaphneLvanderA.html
EdithJMFeskens.html
http___www.biomedcentral.com_content_pdf_1471-2156-7-23.pdf http://www.biomedcentral.com/content/pdf/1471-2156-7-23.pdf
http___www.biomedcentral.com_1471-2156_7_23 http://www.biomedcentral.com/1471-2156/7/23
http___dx.doi.org_10.1186_1471-2156-7-23 http://dx.doi.org/10.1186/1471-2156-7-23
HeidrichMeisner2009152 Neuroevolution strategies for episodic reinforcement learning
VerenaHeidrich-Meisner.html
ChristianIgel.html
http___dx.doi.org_10.1016_j.jalgor.2009.04.002 http://dx.doi.org/10.1016/j.jalgor.2009.04.002
heigl_05 Option Pricing by means of Genetic Programming
AndreasHeigl.html
https___www.ads.tuwien.ac.at_publications_bib_pdf_heigl_05.pdf https://www.ads.tuwien.ac.at/publications/bib/pdf/heigl_05.pdf
Heigl:book Option Pricing by Means of Genetic Programming
AndreasHeigl.html
https___www.amazon.com_Option-Pricing-Means-Genetic-Programming_dp_3836485206_ref_sr_1_2 https://www.amazon.com/Option-Pricing-Means-Genetic-Programming/dp/3836485206/ref=sr_1_2
Heimfarth:2013:ISORC Automatic generation and configuration of Wireless Sensor Networks applications with Genetic Programming
TalesHeimfarth.html
RenatoResendeRibeirodeOliveira.html
RaphaelWincklerdeBettio.html
ArielFelipeFerreiraMarques.html
ClaudioFabianoMottaToledo.html
http___dx.doi.org_10.1109_ISORC.2013.6913217 http://dx.doi.org/10.1109/ISORC.2013.6913217
Heimfarth:2014:AINA Evaluation of a Genetic Programming Approach to Generate Wireless Sensor Network Applications
TalesHeimfarth.html
JoaoPauloDeAraujo.html
RenatoResendeRibeirodeOliveira.html
RaphaelWincklerdeBettio.html
http___dx.doi.org_10.1109_AINA.2014.94 http://dx.doi.org/10.1109/AINA.2014.94
Heimisdottir:2021:JDR Metabolomics Insights in Early Childhood Caries
LHHeimisdottir.html
BMLin.html
HCho.html
AlenaOrlenko.html
AARibeiro.html
ASimon-Soro.html
JRoach.html
DShungin.html
JGinnis.html
MASimancas-Pallares.html
HDSpangler.html
AGFerreiraZandona.html
JTWright.html
PRamamoorthy.html
JasonHMoore.html
HKoo.html
DWu.html
KDivaris.html
http___dx.doi.org_10.1177_0022034520982963 http://dx.doi.org/10.1177/0022034520982963
Hein:1994:TI A genetic technique for robotic trajectory planning
CarlHein.html
AlexMeystel.html
http___www.sciencedirect.com_science_article_B6V1H-48V1Y16-6_2_1a0f7979e649fe0ff30f590d6fc5e0b5 http://www.sciencedirect.com/science/article/B6V1H-48V1Y16-6/2/1a0f7979e649fe0ff30f590d6fc5e0b5
journals/corr/abs-1712-04170 Interpretable Policies for Reinforcement Learning by Genetic Programming
DanielHein.html
SteffenUdluft.html
ThomasARunkler.html
https___arxiv.org_abs_1712.04170 https://arxiv.org/abs/1712.04170
HEIN2018158 Interpretable policies for reinforcement learning by genetic programming
DanielHein.html
SteffenUdluft.html
ThomasARunkler.html
http___www.sciencedirect.com_science_article_pii_S0952197618301933 http://www.sciencedirect.com/science/article/pii/S0952197618301933
http___dx.doi.org_10.1016_j.engappai.2018.09.007 http://dx.doi.org/10.1016/j.engappai.2018.09.007
Hein:2018:GECCOcomp Generating interpretable fuzzy controllers using particle swarm optimization and genetic programming
DanielHein.html
SteffenUdluft.html
ThomasARunkler.html
https___arxiv.org_abs_1804.10960 https://arxiv.org/abs/1804.10960
http___dx.doi.org_10.1145_3205651.3208277 http://dx.doi.org/10.1145/3205651.3208277
Hein:2019:GECCOcomp Generating interpretable reinforcement learning policies using genetic programming
DanielHein.html
SteffenUdluft.html
ThomasARunkler.html
http___dx.doi.org_10.1145_3319619.3326755 http://dx.doi.org/10.1145/3319619.3326755
DBLP:phd/dnb/Hein19 Interpretable Reinforcement Learning Policies by Evolutionary Computation
DanielHein.html
http___mediatum.ub.tum.de_doc_1467616_1467616.pdf http://mediatum.ub.tum.de/doc/1467616/1467616.pdf
Hein:2021:GECCOcomp Trustworthy AI for Process Automation on a Chylla-Haase Polymerization Reactor
DanielHein.html
DanielLabisch.html
https___dblp.org_rec_journals_corr_abs-2108-13381.bib https://dblp.org/rec/journals/corr/abs-2108-13381.bib
https___arxiv.org_abs_2108.13381 https://arxiv.org/abs/2108.13381
http___dx.doi.org_10.1145_3449726.3463131 http://dx.doi.org/10.1145/3449726.3463131
HEIN:2018:COR Designing new heuristics for the capacitated lot sizing problem by genetic programming
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ChristianAlmeder.html
LuisGoncaloRodriguesReisFigueira.html
BernardoAlmada-Lobo.html
http___dx.doi.org_10.1016_j.cor.2018.03.006 http://dx.doi.org/10.1016/j.cor.2018.03.006
http___www.sciencedirect.com_science_article_pii_S0305054818300753 http://www.sciencedirect.com/science/article/pii/S0305054818300753
heinrich-litan:1998:EuroPar Modeling the communication behavior of distributed memory machines by genetic programming
LHeinrich-Litan.html
UFissgus.html
StSutter.html
PMolitor.html
ThRauber.html
http___link.springer.com_chapter_10.1007_BFb0057862 http://link.springer.com/chapter/10.1007/BFb0057862
http___dx.doi.org_10.1007_BFb0057862 http://dx.doi.org/10.1007/BFb0057862
heiss-czedik:1997:highlevel Is Genetic Programming Dependent on High-level Primitives?
DorotheaHeiss.html
http___dx.doi.org_10.1007_978-3-7091-6492-1_89 http://dx.doi.org/10.1007/978-3-7091-6492-1_89
Heller:2018:INISTA Selective Equation Constructor: A Scalable Genetic Algorithm
LaurenHeller.html
MichailTsikerdekis.html
http___dx.doi.org_10.1109_INISTA.2018.8466278 http://dx.doi.org/10.1109/INISTA.2018.8466278
Helm:2002:WSC A Comparison of Three Optimization Methods for Scheduling Maintenance of High Cost, Long-Lived Capital Assets
TerryMHelm.html
SteveWPainter.html
WRobertOakes.html
http___www.informs-sim.org_wsc02papers_259.pdf http://www.informs-sim.org/wsc02papers/259.pdf
http___dx.doi.org_10.1109_WSC.2002.1166483 http://dx.doi.org/10.1109/WSC.2002.1166483
Helmer:1999:snake Moving a Snake Robot using Genetic Programming
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Helmuth:2011:GECCOcomp Size-based tournaments for node selection
ThomasHelmuth.html
LeeSpector.html
BrianMartin.html
http___dx.doi.org_10.1145_2001858.2002095 http://dx.doi.org/10.1145/2001858.2002095
Helmuth:2012:GPTP Evolving SQL Queries from Examples with Developmental Genetic Programming
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http___dx.doi.org_10.1007_978-1-4614-6846-2_1 http://dx.doi.org/10.1007/978-1-4614-6846-2_1
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http___dx.doi.org_10.1007_978-1-4614-6846-2_1 http://dx.doi.org/10.1007/978-1-4614-6846-2_1
Helmuth:2012:GECCOcomp Empirical investigation of size-based tournaments for node selection in genetic programming
ThomasHelmuth.html
LeeSpector.html
http___dx.doi.org_10.1145_2330784.2331004 http://dx.doi.org/10.1145/2330784.2331004
Helmuth:2013:GECCOcomp Evolving a digital multiplier with the pushgp genetic programming system
ThomasHelmuth.html
LeeSpector.html
http___dx.doi.org_10.1145_2464576.2466814 http://dx.doi.org/10.1145/2464576.2466814
Helmuth:2014:GECCO Word count as a traditional programming benchmark problem for genetic programming
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http___doi.acm.org_10.1145_2576768.2598230 http://doi.acm.org/10.1145/2576768.2598230
http___dx.doi.org_10.1145_2576768.2598230 http://dx.doi.org/10.1145/2576768.2598230
Helmuth:2015:GPTP Lexicase Selection For Program Synthesis: A Diversity Analysis
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http___www.springer.com_us_book_9783319342214 http://www.springer.com/us/book/9783319342214
http___dx.doi.org_10.1007_978-3-319-34223-8_9 http://dx.doi.org/10.1007/978-3-319-34223-8_9
Helmuth:2015:GECCO General Program Synthesis Benchmark Suite
ThomasHelmuth.html
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http___dx.doi.org_10.1145_2739480.2754769 http://dx.doi.org/10.1145/2739480.2754769
Helmuth:thesis General Program Synthesis from Examples Using Genetic Programming with Parent Selection Based on Random Lexicographic Orderings of Test Cases
ThomasHelmuth.html
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Helmuth:2015:ieeeTEC Solving Uncompromising Problems with Lexicase Selection
ThomasHelmuth.html
LeeSpector.html
JamesMatheson.html
http___ieeexplore.ieee.org_stamp_stamp.jsp_tp__arnumber_6920034 http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6920034
http___dx.doi.org_10.1109_TEVC.2014.2362729 http://dx.doi.org/10.1109/TEVC.2014.2362729
Helmuth:2016:GPTP Linear Genomes for Structured Programs
ThomasHelmuth.html
LeeSpector.html
NicholasFreitagMcPhee.html
SaulShanabrook.html
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http___dx.doi.org_10.1007_978-3-319-97088-2_6 http://dx.doi.org/10.1007/978-3-319-97088-2_6
Helmuth:2016:GECCO The Impact of Hyperselection on Lexicase Selection
ThomasHelmuth.html
NicholasFreitagMcPhee.html
LeeSpector.html
http___cs.hamilton.edu__thelmuth_Pubs_2016-GECCO-hyperselection.pdf http://cs.hamilton.edu/~thelmuth/Pubs/2016-GECCO-hyperselection.pdf
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Helmuth:2016:GECCOcomp Effects of Lexicase and Tournament Selection on Diversity Recovery and Maintenance
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LeeSpector.html
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Helmuth:2017:GECCO Improving Generalization of Evolved Programs Through Automatic Simplification
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EdwardRPantridge.html
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http___dx.doi.org_10.1145_3071178.3071330 http://dx.doi.org/10.1145/3071178.3071330
Helmuth:2019:GECCO Lexicase Selection of Specialists
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LeeSpector.html
http___dx.doi.org_10.1145_3321707.3321875 http://dx.doi.org/10.1145/3321707.3321875
Helmuth:GPEM:lexi On the importance of specialists for lexicase selection
ThomasHelmuth.html
EdwardRPantridge.html
LeeSpector.html
http___dx.doi.org_10.1007_s10710-020-09377-2 http://dx.doi.org/10.1007/s10710-020-09377-2
Helmuth:2020:GECCOcomp Benchmarking Parent Selection for Program Synthesis by Genetic Programming
ThomasHelmuth.html
AmrAbdelhady.html
https___doi.org_10.1145_3377929.3389987 https://doi.org/10.1145/3377929.3389987
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Helmuth:2020:GECCOcompa Counterexample-Driven Genetic Programming without Formal Specifications
ThomasHelmuth.html
LeeSpector.html
EdwardRPantridge.html
https___doi.org_10.1145_3377929.3389983 https://doi.org/10.1145/3377929.3389983
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Helmuth:2020:GECCOcompb Transfer Learning of Genetic Programming Instruction Sets
ThomasHelmuth.html
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GraceWoolson.html
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Helmuth:2020:ALife Genetic Source Sensitivity and Transfer Learning in Genetic Programming
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GraceWoolson.html
LeeSpector.html
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Helmuth:2020:ALife_lx Explaining and Exploiting the Advantages of Down-sampled Lexicase Selection
ThomasHelmuth.html
LeeSpector.html
http___dx.doi.org_10.1162_isal_a_00334 http://dx.doi.org/10.1162/isal_a_00334
Helmuth:2021:GECCO PSB2: The Second Program Synthesis Benchmark Suite
ThomasHelmuth.html
PeterKelly.html
https___arxiv.org_abs_2106.06086 https://arxiv.org/abs/2106.06086
http___dx.doi.org_10.1145_3449639.3459285 http://dx.doi.org/10.1145/3449639.3459285
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Helmuth:2022:ALife Problem-Solving Benefits of Down-Sampled Lexicase Selection
ThomasHelmuth.html
LeeSpector.html
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Helmuth:2022:GPEM Applying genetic programming to PSB2: the next generation program synthesis benchmark suite
ThomasHelmuth.html
PeterKelly.html
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helmuth:2023:iGECCO Human-Driven Genetic Programming for Program Synthesis: A Prototype
ThomasHelmuth.html
JamesGunderFrazier.html
YuhanShi.html
AhmedFarghaliAbdelrehim.html
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Helmuth:2024:EuroGP Generational Computation Reduction in Informal Counterexample-Driven Genetic Programming
ThomasHelmuth.html
EdwardRPantridge.html
JamesGunderFrazier.html
LeeSpector.html
http___dx.doi.org_10.1007_978-3-031-56957-9_2 http://dx.doi.org/10.1007/978-3-031-56957-9_2
eurogp07:hemberg A Grammatical Genetic Programming Approach to Modularity in Genetic Algorithms
ErikHemberg.html
ConorGilligan.html
MichaelO'Neill.html
AnthonyBrabazon.html
http___dx.doi.org_10.1007_978-3-540-71605-1_1 http://dx.doi.org/10.1007/978-3-540-71605-1_1
conf/eurogp/HembergOB08 Altering Search Rates of the Meta and Solution Grammars in the mGGA
ErikHemberg.html
MichaelO'Neill.html
AnthonyBrabazon.html
http___dx.doi.org_10.1007_978-3-540-78671-9_31 http://dx.doi.org/10.1007/978-3-540-78671-9_31
Hemberg:2008:cec Grammatical Bias and Building Blocks in Meta-Grammar Grammatical Evolution
ErikHemberg.html
MichaelO'Neill.html
AnthonyBrabazon.html
http___dx.doi.org_10.1109_CEC.2008.4631309 http://dx.doi.org/10.1109/CEC.2008.4631309
DBLP:conf/gecco/Hemberg09 An exploration of learning and grammars in grammatical evolution
ErikHemberg.html
http___dx.doi.org_10.1145_1570256.1570389 http://dx.doi.org/10.1145/1570256.1570389
Hemberg:2008:ECSummerSchool Pre-, In- and Postfix grammars for Symbolic Regression in Grammatical Evolution
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NicholasFreitagMcPhee.html
MichaelO'Neill.html
AnthonyBrabazon.html
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Hemberg:2009:Mendel An investigation into automatically defined function representations in Grammatical Evolution
ErikHemberg.html
MichaelO'Neill.html
AnthonyBrabazon.html
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Hemberg:thesis An Exploration of Grammars in Grammatical Evolution
ErikHemberg.html
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Hemberg:2011:GECCOcomp A symbolic regression approach to manage femtocell coverage using grammatical genetic programming
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LesterTWHo.html
MichaelO'Neill.html
HolgerClaussen.html
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Hemberg:2012:GPTP Representing Communication and Learning in Femtocell Pilot Power Control Algorithms
ErikHemberg.html
LesterTWHo.html
MichaelO'Neill.html
HolgerClaussen.html
http___dx.doi.org_10.1007_978-1-4614-6846-2_15 http://dx.doi.org/10.1007/978-1-4614-6846-2_15
http___dx.doi.org_10.1007_978-1-4614-6846-2_15 http://dx.doi.org/10.1007/978-1-4614-6846-2_15
Hemberg:2012:GECCO An investigation of local patterns for estimation of distribution genetic programming
ErikHemberg.html
KalyanVeeramachaneni.html
JamesMcDermott.html
ConstantinBerzan.html
Una-MayO'Reilly.html
http___dx.doi.org_10.1145_2330163.2330270 http://dx.doi.org/10.1145/2330163.2330270
Hemberg:2012:GECCOcompA Graphical models and what they reveal about GP when it solves a symbolic regression problem
ErikHemberg.html
KalyanVeeramachaneni.html
Una-MayO'Reilly.html
http___dx.doi.org_10.1145_2330784.2330860 http://dx.doi.org/10.1145/2330784.2330860
Hemberg:2012:GECCOcomp Comparing the robustness of grammatical genetic programming solutions for femtocell algorithms
ErikHemberg.html
LesterTWHo.html
MichaelO'Neill.html
HolgerClausssen.html
http___dx.doi.org_10.1145_2330784.2331028 http://dx.doi.org/10.1145/2330784.2331028
conf/ppsn/HembergHOC12 Evolving Femtocell Algorithms with Dynamic \& Stationary Training Scenarios
ErikHemberg.html
LesterTWHo.html
MichaelO'Neill.html
HolgerClaussen.html
http___dx.doi.org_10.1007_978-3-642-32964-7_52 http://dx.doi.org/10.1007/978-3-642-32964-7_52
Hemberg:2013:foga Introducing Graphical Models to Analyze Genetic Programming Dynamics
ErikHemberg.html
KalyanVeeramachaneni.html
ConstantinBerzan.html
Una-MayO'Reilly.html
http___doi.acm.org_10.1145_2460239.2460247 http://doi.acm.org/10.1145/2460239.2460247
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Hemberg:2013:GPEM A comparison of grammatical genetic programming grammars for controlling femtocell network coverage
ErikHemberg.html
LesterTWHo.html
MichaelO'Neill.html
HolgerClaussen.html
http___dx.doi.org_10.1007_s10710-012-9171-8 http://dx.doi.org/10.1007/s10710-012-9171-8
Hemberg:2015:ICAIL Tax Non-compliance Detection Using Co-evolution of Tax Evasion Risk and Audit Likelihood
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Hemberg:2016:GPTP Investigating Multi population Competetive Coevolution for Anticipating of Tax Evasion
ErikHemberg.html
JacobBRosen.html
Una-MayO'Reilly.html
https___www.springer.com_us_book_9783319970875 https://www.springer.com/us/book/9783319970875
http___dx.doi.org_10.1007_978-3-319-97088-2_3 http://dx.doi.org/10.1007/978-3-319-97088-2_3
Hemberg:2016:AIL Detecting tax evasion: a co-evolutionary approach
ErikHemberg.html
JacobBRosen.html
GeoffWarner.html
SanithWijesinghe.html
Una-MayO'Reilly.html
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Hemberg:2018:hbge Theory of Disruption in GE
ErikHemberg.html
http___dx.doi.org_10.1007_978-3-319-78717-6_5 http://dx.doi.org/10.1007/978-3-319-78717-6_5
Hemberg:2018:hbge2 Grammatical Evolution with Coevolutionary Algorithms in Cyber Security
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AnthonyErbLugo.html
DennisGarcia.html
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http___dx.doi.org_10.1007_978-3-319-78717-6_17 http://dx.doi.org/10.1007/978-3-319-78717-6_17
Hemberg:2019:GECCO On domain knowledge and novelty to improve program synthesis performance with grammatical evolution
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hemberg:2001:masters GENR8 - A Design Tool for Surface Generation
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http___www.ai.mit.edu_projects_emergentDesign_genr8_main.pdf http://www.ai.mit.edu/projects/emergentDesign/genr8/main.pdf
hemberg:2001:adtsg GENR8 - A Design Tool for Surface Generation
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PeterNordin.html
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hemberg:2001:adtsg2 GENR8 - A Design Tool for Surface Generation
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hemberg:2002:gecco:workshop GENR8 - Using Grammatical Evolution In A Surface Design Tool
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http___www.ai.mit.edu_projects_emergentDesign_genr8_gecco2002.pdf http://www.ai.mit.edu/projects/emergentDesign/genr8/gecco2002.pdf
hemberg:2004:eurogp Extending Grammatical Evolution to Evolve Digital Surfaces with Genr8
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hemberg:2004:ALwks Using Generative Growth Systems to Design Architectural Form
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hemberg:2008:aae Genr8: Architects' Experience with an Emergent Design Tool
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tr-01-01 An Engineering Approach to Evolutionary Art
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tr-01-02 A ``Futurist'' approach to dynamic environments
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hemert:2001:gecco An Engineering Approach to Evolutionary Art
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http___www.vanhemert.co.uk_publications_gecco2001.An_Engineering_Approach_to_Evolutionary_Art.pdf http://www.vanhemert.co.uk/publications/gecco2001.An_Engineering_Approach_to_Evolutionary_Art.pdf
http___www.vanhemert.co.uk_publications_gecco2001.An_Engineering_Approach_to_Evolutionary_Art.ps.gz http://www.vanhemert.co.uk/publications/gecco2001.An_Engineering_Approach_to_Evolutionary_Art.ps.gz
http___gpbib.cs.ucl.ac.uk_gecco2001_d02.pdf http://gpbib.cs.ucl.ac.uk/gecco2001/d02.pdf
HEMMATISARAPARDEH:2020:AAITPI Chapter 2 - Intelligent models
AbdolhosseinHemmati-Sarapardeh.html
AydinLarestani.html
MenadNaitAmar.html
SassanHajirezaie.html
http___dx.doi.org_10.1016_B978-0-12-818680-0.00002-3 http://dx.doi.org/10.1016/B978-0-12-818680-0.00002-3
http___www.sciencedirect.com_science_article_pii_B9780128186800000023 http://www.sciencedirect.com/science/article/pii/B9780128186800000023
oai:CiteSeerPSU:536164 Selective Crossover in Genetic Programming
SupojHengpraprohm.html
PrabhasChongstitvatana.html
http___www.cp.eng.chula.ac.th__piak_paper_ISCIT534.pdf http://www.cp.eng.chula.ac.th/~piak/paper/ISCIT534.pdf
http___citeseer.ist.psu.edu_536164.html http://citeseer.ist.psu.edu/536164.html
Hengpraprohm:2007:FBIT Selecting Informative Genes from Microarray Data for Cancer Classification with Genetic Programming Classifier Using K-Means Clustering and SNR Ranking
SupojHengpraprohm.html
PrabhasChongstitvatana.html
http___www.computer.org_portal_web_csdl_doi_10.1109_FBIT.2007.84 http://www.computer.org/portal/web/csdl/doi/10.1109/FBIT.2007.84
http___dx.doi.org_10.1109_FBIT.2007.84 http://dx.doi.org/10.1109/FBIT.2007.84
Hengpraprohm:2008:ICICIC A Genetic Programming Ensemble Approach to Cancer Microarray Data Classification
SupojHengpraprohm.html
PrabhasChongstitvatana.html
http___ieeexplore.ieee.org_stamp_stamp.jsp_tp__arnumber_4603529 http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4603529
http___dx.doi.org_10.1109_ICICIC.2008.35 http://dx.doi.org/10.1109/ICICIC.2008.35
Hengpraprohm:thesis Ensemble genetic programming classifier for microarray data
SupojHengpraprohm.html
http___cuir.car.chula.ac.th_handle_123456789_16946 http://cuir.car.chula.ac.th/handle/123456789/16946
http___home.npru.ac.th_supoj_research_FullReport_4771832221-MyThesis.pdf http://home.npru.ac.th/supoj/research/FullReport/4771832221-MyThesis.pdf
journals/kbs/HennessyMCR05 An improved genetic programming technique for the classification of Raman spectra
KennethHennessy.html
MichaelGMadden.html
JenniferConroy.html
AlanGRyder.html
http___dx.doi.org_10.1016_j.knosys.2004.10.001 http://dx.doi.org/10.1016/j.knosys.2004.10.001
Hens20126774 Computational time reduction for credit scoring: An integrated approach based on support vector machine and stratified sampling method
AkhilBandhuHens.html
ManojKumarTiwari.html
http___dx.doi.org_10.1016_j.eswa.2011.12.057 http://dx.doi.org/10.1016/j.eswa.2011.12.057
http___www.sciencedirect.com_science_article_pii_S0957417411017283 http://www.sciencedirect.com/science/article/pii/S0957417411017283
Hens2018 Front-running and market quality: An evolutionary perspective on high frequency trading
ThorstenHens.html
TerjeLensberg.html
KlausReinerSchenk-Hoppe.html
https___onlinelibrary.wiley.com_doi_abs_10.1111_irfi.12159 https://onlinelibrary.wiley.com/doi/abs/10.1111/irfi.12159
http___dx.doi.org_10.1111_irfi.12159 http://dx.doi.org/10.1111/irfi.12159
Henson:2017:miller Designing Digital Systems Using Cartesian Genetic Programming and VHDL
BenjaminHenson.html
JamesAlfredWalker.html
MartinATrefzer.html
AndrewMTyrrell.html
http___dx.doi.org_10.1007_978-3-319-67997-6_3 http://dx.doi.org/10.1007/978-3-319-67997-6_3
Heralic:2007:hrnd Central Pattern Generators for Gait Generation in Bipedal Robots
AlmirHeralic.html
KristerWolff.html
MattiasWahde.html
http___www.intechopen.com_download_pdf_pdfs_id_237 http://www.intechopen.com/download/pdf/pdfs_id/237
http___www.intechopen.com_articles_show_title_central_pattern_generators_for_gait_generation_in_bipedal_robots http://www.intechopen.com/articles/show/title/central_pattern_generators_for_gait_generation_in_bipedal_robots
http___dx.doi.org_10.5772_4873 http://dx.doi.org/10.5772/4873
Heravi:2016:CEC A Methodology for Disease Gene Association using Centrality Measures
AshkanEntezariHeravi.html
SheridanHoughten.html
http___dx.doi.org_10.1109_CEC.2016.7743774 http://dx.doi.org/10.1109/CEC.2016.7743774
Hermanovsky:2017:JH Regionalization of runoff models derived by genetic programming
MartinHermanovsky.html
VojtechHavlicek.html
MartinHanel.html
PavelPech.html
http___dx.doi.org_10.1016_j.jhydrol.2017.02.018 http://dx.doi.org/10.1016/j.jhydrol.2017.02.018
http___www.sciencedirect.com_science_article_pii_S0022169417300951 http://www.sciencedirect.com/science/article/pii/S0022169417300951
DBLP:journals/corr/abs-1904-01095 Fast, accurate, and transferable many-body interatomic potentials by genetic programming
AlbertoHernandez.html
AdarshBalasubramanian.html
FenglinYuan.html
SimonMason.html
TimMueller.html
http___arxiv.org_abs_1904.01095 http://arxiv.org/abs/1904.01095
https___dblp.org_rec_journals_corr_abs-1904-01095.bib https://dblp.org/rec/journals/corr/abs-1904-01095.bib
Hernandez:2019:GECCOcomp Random subsampling improves performance in lexicase selection
JoseGuadalupeHernandez.html
AlexanderLalejini.html
EmilyDolson.html
CharlesOfria.html
http___dx.doi.org_10.1145_3319619.3326900 http://dx.doi.org/10.1145/3319619.3326900
hernandez:2004:otdospngbmogp On the design of state-of-the-art pseudorandom number generators by means of genetic programming
JulioCesarHernandez-Castro.html
AndreSeznec.html
PedroIsasiVinuela.html
http___dx.doi.org_10.1109_CEC.2004.1331075 http://dx.doi.org/10.1109/CEC.2004.1331075
hernandez-aguirre:2000:gsbfbmgp Gate-level Synthesis of Boolean Functions using Binary Multiplexers and Genetic Programming
ArturoHernandez-Aguirre.html
BillBuckles.html
CarlosArtemioCoelloCoello.html
http___www.lania.mx__ccoello_papers_hernandez00.ps.gz http://www.lania.mx/~ccoello/papers/hernandez00.ps.gz
http___citeseer.ist.psu.edu_309980.html http://citeseer.ist.psu.edu/309980.html
http___dx.doi.org_10.1109_CEC.2000.870363 http://dx.doi.org/10.1109/CEC.2000.870363
Hernandez-Albarracin:2017:IGARSS Fusion of genetic-programming-based indices in hyperspectral image classification tasks
JuanFelipeHernandezAlbarracin.html
EdemirFerreiraJr.html
JeferssonAlexdosSantos.html
RicardodaSilvaTorres.html
http___dx.doi.org_10.1109_IGARSS.2017.8127013 http://dx.doi.org/10.1109/IGARSS.2017.8127013
Hernandez-Beltran:2019:swarmEC Design of estimators for restoration of images degraded by haze using genetic programming
JoseEnriqueHernandez-Beltran.html
VictorHugoDiaz-Ramirez.html
LeonardoTrujillo.html
PierrickLegrand.html
https___www.human-competitive.org_sites_default_files_hernandezramirez.txt https://www.human-competitive.org/sites/default/files/hernandezramirez.txt
http___www.sciencedirect.com_science_article_pii_S2210650218301366 http://www.sciencedirect.com/science/article/pii/S2210650218301366
https___hal.inria.fr_hal-01909121 https://hal.inria.fr/hal-01909121
http___www.sciencedirect.com_science_article_pii_S2210650218301366 http://www.sciencedirect.com/science/article/pii/S2210650218301366
http___www.human-competitive.org_sites_default_files_ramirezvideo_copy.mp4 http://www.human-competitive.org/sites/default/files/ramirezvideo_copy.mp4
http___dx.doi.org_10.1016_j.swevo.2018.11.008 http://dx.doi.org/10.1016/j.swevo.2018.11.008
Hernandez-Beltran:2019:OPIP Real-time image dehazing using genetic programming
JoseEnriqueHernandez-Beltran.html
VictorHugoDiaz-Ramirez.html
RigobertoJuarez-Salazar.html
https___www.human-competitive.org_sites_default_files_hernandezramirez.txt https://www.human-competitive.org/sites/default/files/hernandezramirez.txt
https___doi.org_10.1117_12.2528510 https://doi.org/10.1117/12.2528510
http___www.human-competitive.org_sites_default_files_ramirezvideo_copy.mp4 http://www.human-competitive.org/sites/default/files/ramirezvideo_copy.mp4
http___dx.doi.org_10.1117_12.2528510 http://dx.doi.org/10.1117/12.2528510
Hernandez-Castaneda:2023:ACC Toward the Automatic Generation of an Objective Function for Extractive Text Summarization
AngelHernandez-Castaneda.html
ReneArnulfoGarciaHernandez.html
YuliaNikolaevnaLedeneva.html
http___dx.doi.org_10.1109_ACCESS.2023.3279101 http://dx.doi.org/10.1109/ACCESS.2023.3279101
Hernandez-Castro:2003:KBIIES Finding Efficient Nonlinear Functions by Means of Genetic Programming
JulioCesarHernandez-Castro.html
PedroIsasiVinuela.html
CristobalLuquedelArco-Calderon.html
http___link.springer.com_chapter_10.1007_978-3-540-45224-9_161 http://link.springer.com/chapter/10.1007/978-3-540-45224-9_161
http___dx.doi.org_10.1007_978-3-540-45224-9_161 http://dx.doi.org/10.1007/978-3-540-45224-9_161
Hernandez-Castro:2006:CEC Wheedham: An Automatically Designed Block Cipher by means of Genetic Programming
JulioCesarHernandez-Castro.html
JuanManuelEstevez-Tapiador.html
DArturoRibagordaGarnacho.html
BenjaminRamos-Alvarez.html
http___dx.doi.org_10.1109_CEC.2006.1688308 http://dx.doi.org/10.1109/CEC.2006.1688308
Herranz:2022:ICARSC Decentralised Negotiation for Multi-Object Collective Transport with Robot Swarms
GuillermoLegardaHerranz.html
SabineHauert.html
SimonJones.html
http___dx.doi.org_10.1109_ICARSC55462.2022.9784801 http://dx.doi.org/10.1109/ICARSC55462.2022.9784801
HERRERA:2022:ASC Evolved Extended Kalman Filter for first-order dynamical systems with unknown measurements noise covariance
LeonardoHerrera.html
MariadelCarmenRodriguez-Linan.html
EddieHelbertClementeTorres.html
MarlenMeza-Sanchez.html
LuisMonay-Arredondo.html
https___www.human-competitive.org_sites_default_files_humiesentry-eekf.txt https://www.human-competitive.org/sites/default/files/humiesentry-eekf.txt
https___www.human-competitive.org_sites_default_files_papereekf.pdf https://www.human-competitive.org/sites/default/files/papereekf.pdf
https___www.sciencedirect.com_science_article_pii_S1568494621010280 https://www.sciencedirect.com/science/article/pii/S1568494621010280
http___dx.doi.org_10.1016_j.asoc.2021.108174 http://dx.doi.org/10.1016/j.asoc.2021.108174
Herrera-Sanchez:2022:ISCMI Feature Construction, Feature Reduction and Search Space Reduction Using Genetic Programming
DavidHerrera-Sanchez.html
EfrenMezura-Montes.html
Hector-GabrielAcosta-Mesa.html
http___dx.doi.org_10.1109_ISCMI56532.2022.10068452 http://dx.doi.org/10.1109/ISCMI56532.2022.10068452
Hershkovitz:2008:ESDA Nb-Doped Barium Titanate: Concentration-Properties Relations
ShanyHershkovitz.html
SiomaBaltianski.html
YoedTsur.html
http___dx.doi.org_10.1115_ESDA2008-59049 http://dx.doi.org/10.1115/ESDA2008-59049
Hershkovitz2011104 Harnessing evolutionary programming for impedance spectroscopy analysis: A case study of mixed ionic-electronic conductors
ShanyHershkovitz.html
SiomaBaltianski.html
YoedTsur.html
http___dx.doi.org_10.1016_j.ssi.2010.10.004 http://dx.doi.org/10.1016/j.ssi.2010.10.004
http___www.sciencedirect.com_science_article_B6TY4-51D5RFW-2_2_78396a47420bfca2e3d664e88b21c461 http://www.sciencedirect.com/science/article/B6TY4-51D5RFW-2/2/78396a47420bfca2e3d664e88b21c461
Hershkovitz:thesis Harnessing Evolutionary Programming for Impedance Spectroscopy Analysis
ShanyHershkovitz.html
http___www.graduate.technion.ac.il_Theses_Abstracts.asp_Id_24411 http://www.graduate.technion.ac.il/Theses/Abstracts.asp?Id=24411
hervas:2001:MTRSI Image Thresholding For Landslide Detection By Genetic Programming
PaulLRosin.html
JavierHervas.html
https___users.cs.cf.ac.uk_Paul.Rosin_resources_papers_gp2.pdf https://users.cs.cf.ac.uk/Paul.Rosin/resources/papers/gp2.pdf
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.11.7996 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.11.7996
https___www.amazon.com_Analysis-Multi-Temporal-Remote-Sensing-Images_dp_9810249551 https://www.amazon.com/Analysis-Multi-Temporal-Remote-Sensing-Images/dp/9810249551
http___dx.doi.org_10.1142_9789812777249_0005 http://dx.doi.org/10.1142/9789812777249_0005
oai:CiteSeerPSU:555070 Image Thresholding For Landslide Detection By Genetic Programming
JavierHervas.html
PaulLRosin.html
http___www.cs.cf.ac.uk_User_Paul.Rosin_resources_papers_gp2.pdf http://www.cs.cf.ac.uk/User/Paul.Rosin/resources/papers/gp2.pdf
http___citeseer.ist.psu.edu_555070.html http://citeseer.ist.psu.edu/555070.html
HERZOG:2020:NN Evolving artificial neural networks with feedback
SebastianHerzog.html
ChristianTetzlaff.html
FlorentinWoergoetter.html
http___dx.doi.org_10.1016_j.neunet.2019.12.004 http://dx.doi.org/10.1016/j.neunet.2019.12.004
http___www.sciencedirect.com_science_article_pii_S089360801930396X http://www.sciencedirect.com/science/article/pii/S089360801930396X
Heshmati:2009:icce Soil Classification Using a Combined Algorithm of Simulated Annealing and Genetic Programming
AliAkbarHeshmati.html
MohammadGhasemSahab.html
AHAlavi.html
AHGandomi.html
https___en.symposia.ir_ICCE08 https://en.symposia.ir/ICCE08
https___www.civilica.com_Paper-ICCE08-ICCE08_042.html https://www.civilica.com/Paper-ICCE08-ICCE08_042.html
https___www.civilica.com_PdfExport-ICCE08_042_Soil-Classification-Using-a-Combined-Algorithm-of-Simulated-Annealing-and-Genetic-Programming.pdf https://www.civilica.com/PdfExport-ICCE08_042=Soil-Classification-Using-a-Combined-Algorithm-of-Simulated-Annealing-and-Genetic-Programming.pdf
http___www.civilica.com_EnPaper--ICCE08_042.html http://www.civilica.com/EnPaper--ICCE08_042.html
hetland:2002:RASC Temporal Rule Discovery using Genetic Programming and Specialized Hardware
MagnusLieHetland.html
PalSaetrom.html
http___hetland.org_research_2002_sc2103.pdf http://hetland.org/research/2002/sc2103.pdf
http___citeseer.ist.psu.edu_549830.html http://citeseer.ist.psu.edu/549830.html
hetland:2005:ML Evolutionary Rule Mining in Time Series Databases
MagnusLieHetland.html
PalSaetrom.html
http___dx.doi.org_10.1007_s10994-005-5823-8 http://dx.doi.org/10.1007/s10994-005-5823-8
Hewgill:Final COSC 4P77 Final Project Improvements to lilgp Genetic Programming System
AdamHewgill.html
http___www.cosc.brocku.ca_Offerings_5P71_bstlilgp_bstlilgp_unix_lilgp_20Improvments.pdf http://www.cosc.brocku.ca/Offerings/5P71/bstlilgp/bstlilgp_unix/lilgp%20Improvments.pdf
hewgill:2002:gecco:lbp Real-Time Competitive Evolutionary Computation
AdamHewgill.html
http___www.cosc.brocku.ca_files_downloads_research_cs0217.pdf http://www.cosc.brocku.ca/files/downloads/research/cs0217.pdf
hewgill:2003:06 Procedural 3D Texture Synthesis Using Genetic Programming
AdamHewgill.html
BrianJRoss.html
http___www.cosc.brocku.ca_files_downloads_research_cs0306.pdf http://www.cosc.brocku.ca/files/downloads/research/cs0306.pdf
http___citeseer.ist.psu.edu_559621.html http://citeseer.ist.psu.edu/559621.html
hewgill:gecco03lbp The Evolution of 3D Procedural Textures
AdamHewgill.html
BrianJRoss.html
http___adamhewgill.com_research_gen3d_LBP.pdf http://adamhewgill.com/research/gen3d_LBP.pdf
hewgill:2004:CG Procedural 3D Texture Synthesis Using Genetic Programming
AdamHewgill.html
BrianJRoss.html
http___www.cosc.brocku.ca__bross_research_HewgillRoss04.pdf http://www.cosc.brocku.ca/~bross/research/HewgillRoss04.pdf
http___www.sciencedirect.com_science_article_B6TYG-4CS4FCT-1_2_b8a5d381a1371ba6545d194a470dfa89 http://www.sciencedirect.com/science/article/B6TYG-4CS4FCT-1/2/b8a5d381a1371ba6545d194a470dfa89
http___dx.doi.org_10.1016_j.cag.2004.04.012 http://dx.doi.org/10.1016/j.cag.2004.04.012
hewlett:1998:RNUGPVFDO Reynolds Numbers: Using Genetic Programming and Vite to find Formulas to Describe Organizations
WilliamRHewlett.html
heywood:2000:rbGPFPGA Register Based Genetic Programming on FPGA Computing Platforms
MalcolmHeywood.html
NurZincir-Heywood.html
http___users.cs.dal.ca__mheywood_X-files_Publications_EuroGP-2k0.pdf http://users.cs.dal.ca/~mheywood/X-files/Publications/EuroGP-2k0.pdf
http___dx.doi.org_10.1007_978-3-540-46239-2_4 http://dx.doi.org/10.1007/978-3-540-46239-2_4
Heywood:2000:PBGP Page-based linear genetic programming
MalcolmHeywood.html
NurZincir-Heywood.html
http___ieeexplore.ieee.org_iel5_7099_19140_00886606.pdf_isNumber_19140 http://ieeexplore.ieee.org/iel5/7099/19140/00886606.pdf?isNumber=19140
http___dx.doi.org_10.1109_ICSMC.2000.886606 http://dx.doi.org/10.1109/ICSMC.2000.886606
heywood:2002:SMCB Dynamic Page Based Crossover in Linear Genetic Programming
MalcolmHeywood.html
NurZincir-Heywood.html
http___dx.doi.org_10.1109_TSMCB.2002.999814 http://dx.doi.org/10.1109/TSMCB.2002.999814
Heywood:2015:GPEM Evolutionary model building under streaming data for classification tasks: opportunities and challenges
MalcolmHeywood.html
http___dx.doi.org_10.1007_s10710-014-9236-y http://dx.doi.org/10.1007/s10710-014-9236-y
Heywood:2016:GP Proceedings of the 19th European Conference on Genetic Programming, EuroGP 2016
MalcolmHeywood.html
JamesMcDermott.html
MauroCastelli.html
ErnestoCosta.html
http___dx.doi.org_10.1007_978-3-319-30668-1 http://dx.doi.org/10.1007/978-3-319-30668-1
heywood:2023:GPEM W. B. Langdon ``Jaws 30''
MalcolmHeywood.html
https___rdcu.be_drZd3 https://rdcu.be/drZd3
http___dx.doi.org_10.1007_s10710-023-09473-z http://dx.doi.org/10.1007/s10710-023-09473-z
Hidalgo:2014:GECCOcomp Clarke and parkes error grid analysis of diabetic glucose models obtained with evolutionary computation
JoseIgnacioHidalgoPerez.html
JManuelColmenar.html
JoseLRisco-Martin.html
EstherMaqueda.html
MartaBotella-Serrano.html
JoseAntonioRubio.html
AlfredoCuesta-Infante.html
OscarGarnica.html
JLanchares.html
http___doi.acm.org_10.1145_2598394.2609856 http://doi.acm.org/10.1145/2598394.2609856
http___dx.doi.org_10.1145_2598394.2609856 http://dx.doi.org/10.1145/2598394.2609856
Hidalgo:2014:ASC Modeling glycemia in humans by means of Grammatical Evolution
JoseIgnacioHidalgoPerez.html
JManuelColmenar.html
JoseLRisco-Martin.html
AlfredoCuesta-Infante.html
EstherMaqueda.html
MartaBotella-Serrano.html
JoseAntonioRubio.html
http___dx.doi.org_10.1016_j.asoc.2013.11.006 http://dx.doi.org/10.1016/j.asoc.2013.11.006
http___www.sciencedirect.com_science_article_pii_S156849461300402X http://www.sciencedirect.com/science/article/pii/S156849461300402X
Hidalgo:2017:evoApplications Embedded Grammars for Grammatical Evolution on GPGPU
JoseIgnacioHidalgoPerez.html
CarlosCervigonRuckauer.html
JoseManuelVelascoCabo.html
JManuelColmenar.html
CarlosGarciaSanchez.html
GuillermoBotella.html
http___dx.doi.org_10.1007_978-3-319-55849-3_51 http://dx.doi.org/10.1007/978-3-319-55849-3_51
DBLP:conf/eurocast/HidalgoCKW17 Glucose Prognosis by Grammatical Evolution
JoseIgnacioHidalgoPerez.html
JManuelColmenar.html
GabrielKronberger.html
StephanMWinkler.html
https___doi.org_10.1007_978-3-319-74718-7_55 https://doi.org/10.1007/978-3-319-74718-7_55
http___dx.doi.org_10.1007_978-3-319-74718-7_55 http://dx.doi.org/10.1007/978-3-319-74718-7_55
https___dblp.org_rec_bib_conf_eurocast_BurlacuAKKW17 https://dblp.org/rec/bib/conf/eurocast/BurlacuAKKW17
Hidalgo2017b Data Based Prediction of Blood Glucose Concentrations Using Evolutionary Methods
JoseIgnacioHidalgoPerez.html
JManuelColmenar.html
GabrielKronberger.html
StephanMWinkler.html
OscarGarnica.html
JLanchares.html
http___dx.doi.org_10.1007_s10916-017-0788-2 http://dx.doi.org/10.1007/s10916-017-0788-2
Hidalgo:2018:hbge Identification of Models for Glucose Blood Values in Diabetics by Grammatical Evolution
JoseIgnacioHidalgoPerez.html
JManuelColmenar.html
JoseManuelVelascoCabo.html
GabrielKronberger.html
StephanMWinkler.html
OscarGarnica.html
JLanchares.html
http___dx.doi.org_10.1007_978-3-319-78717-6_15 http://dx.doi.org/10.1007/978-3-319-78717-6_15
journals/asc/HidalgoBVGCMAML20 Glucose forecasting combining Markov chain based enrichment of data, random grammatical evolution and Bagging
JoseIgnacioHidalgoPerez.html
MartaBotella-Serrano.html
JoseManuelVelascoCabo.html
OscarGarnica.html
CarlosCervigonRuckauer.html
RemediosMartinez.html
AranzazuAramendi.html
EstherMaqueda.html
JLanchares.html
http___dx.doi.org_10.1016_j.asoc.2019.105923 http://dx.doi.org/10.1016/j.asoc.2019.105923
Hidalgo:2023:GPTP Genetic Programming Techniques for Glucose Prediction in People with Diabetes
JoseIgnacioHidalgoPerez.html
JoseManuelVelascoCabo.html
DanielParraRodriguez.html
OscarGarnica.html
http___dx.doi.org_10.1007_978-981-99-8413-8_6 http://dx.doi.org/10.1007/978-981-99-8413-8_6
hiden:1996:npcaGP Non-linear Principal Components Analysis Using Genetic Programming
HugoHiden.html
MarkJWillis.html
PaulTurner.html
MingTTham.html
GaryAMontague.html
hiden:1997:ndddmGP Non-Linear And Direction Dependent Dynamic Modelling Using Genetic Programming
HugoHiden.html
MarkJWillis.html
BenMcKay.html
GaryAMontague.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_gp1997_hiden_1997_ndddmGP.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/gp1997/hiden_1997_ndddmGP.pdf
hinden:1997:npcaGAL Non-Linear Principal Components Analysis using Genetic Programming
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MarkJWillis.html
MingTTham.html
PaulTurner.html
GaryAMontague.html
http___scitation.aip.org_getpdf_servlet_GetPDFServlet_filetype_pdf_id_IEECPS0019970CP446000302000001_idtype_cvips_prog_normal http://scitation.aip.org/getpdf/servlet/GetPDFServlet?filetype=pdf&id=IEECPS0019970CP446000302000001&idtype=cvips&prog=normal
http___dx.doi.org_10.1049_cp_19971197 http://dx.doi.org/10.1049/cp:19971197
hiden:1997:GPndmcps Using Genetic Programming to Develop Non-Linear Dynamic Models of Chemical Process Systems
HugoHiden.html
MarkJWillis.html
GaryAMontague.html
hiden:1998:plsGP Non-Linear Partial Least Squares using Genetic Programming
HugoHiden.html
BenMcKay.html
MarkJWillis.html
GaryAMontague.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_gp1998_hiden_1998_plsGP.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/gp1998/hiden_1998_plsGP.pdf
hiden:1999:CCE Non-linear principal components analysis using genetic programming
HugoHiden.html
MarkJWillis.html
MingTTham.html
GaryAMontague.html
http___dx.doi.org_10.1016_S0098-1354_98_00284-1 http://dx.doi.org/10.1016/S0098-1354(98)00284-1
Hiden:thesis Data-based modelling using genetic programming
HugoHiden.html
http___ethos.bl.uk_OrderDetails.do_uin_uk.bl.ethos.246137 http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.246137
HIEN:2020:OE Genetic Programming for storm surge forecasting
NguyenThiHien.html
CaoTruongTran.html
NguyenXuanHoai.html
SooyoulKim.html
VuDinhPhai.html
NguyenBaThuy.html
NgoVanManh.html
http___dx.doi.org_10.1016_j.oceaneng.2020.107812 http://dx.doi.org/10.1016/j.oceaneng.2020.107812
http___www.sciencedirect.com_science_article_pii_S0029801820307885 http://www.sciencedirect.com/science/article/pii/S0029801820307885
Highnam:2016:DSN-W An Uncrewed Aerial Vehicle Attack Scenario and Trustworthy Repair Architecture
KateHighnam.html
KevinAngstadt.html
KevinLeach.html
WestleyWeimer.html
AaronPaulos.html
PatrickHurley.html
https___web.eecs.umich.edu__angstadt_papers_dsn16-industrial.pdf https://web.eecs.umich.edu/~angstadt/papers/dsn16-industrial.pdf
http___dx.doi.org_10.1109_DSN-W.2016.63 http://dx.doi.org/10.1109/DSN-W.2016.63
hikage:1998:cemse Comparison of Evolutionary Methods for Smoother Evolution
TomofumiHikage.html
HitoshiHemmi.html
KatsunoriShimohara.html
http___dx.doi.org_10.1007_BFb0057613 http://dx.doi.org/10.1007/BFb0057613
Hildebrandt:2010:gecco Towards improved dispatching rules for complex shop floor scenarios: a genetic programming approach
TorstenHildebrandt.html
JensHeger.html
BerndScholz-Reiter.html
http___dx.doi.org_10.1145_1830483.1830530 http://dx.doi.org/10.1145/1830483.1830530
Hildebrandt:2014:EC On Using Surrogates with Genetic Programming
TorstenHildebrandt.html
JurgenBranke.html
http___dx.doi.org_10.1162_EVCO_a_00133 http://dx.doi.org/10.1162/EVCO_a_00133
Hildebrandt:2014:WSC Large-scale simulation-based optimization of semiconductor dispatching rules
TorstenHildebrandt.html
DebkalpaGoswami.html
MichaelFreitag.html
http___dx.doi.org_10.1109_WSC.2014.7020102 http://dx.doi.org/10.1109/WSC.2014.7020102
1274014 An evolutionary platform for developing next-generation electronic circuits
JamesAHilder.html
AndrewMTyrrell.html
http___gpbib.cs.ucl.ac.uk_gecco2007_docs_p2483.pdf http://gpbib.cs.ucl.ac.uk/gecco2007/docs/p2483.pdf
http___dx.doi.org_10.1145_1274000.1274014 http://dx.doi.org/10.1145/1274000.1274014
Hilder:2009:PRIME Designing variability tolerant logic using evolutionary algorithms
JamesAHilder.html
JamesAlfredWalker.html
AndrewMTyrrell.html
http___dx.doi.org_10.1109_RME.2009.5201345 http://dx.doi.org/10.1109/RME.2009.5201345
Hilder:2010:AHS Use of a multi-objective fitness function to improve cartesian genetic programming circuits
JamesAHilder.html
JamesAlfredWalker.html
AndrewMTyrrell.html
http___dx.doi.org_10.1109_AHS.2010.5546262 http://dx.doi.org/10.1109/AHS.2010.5546262
Hill:2007:JH Upscaling models of solute transport in porous media through genetic programming
DavidHill.html
BarbaraSMinsker.html
AlbertJValocchi.html
VladanBabovic.html
MaartenKeijzer.html
http___www.iwaponline.com_jh_009_0251_0090251.pdf http://www.iwaponline.com/jh/009/0251/0090251.pdf
http___dx.doi.org_10.2166_hydro.2007.028 http://dx.doi.org/10.2166/hydro.2007.028
HillDissertation Data Mining Approaches to Complex Environmental Problems
DavidHill.html
http___gaia.rutgers.edu_docs_HillDissertation.pdf http://gaia.rutgers.edu/docs/HillDissertation.pdf
Hill:2011:EtuoaNFGMiGAtIPVoDUL Examining the use of a Non-Trivial Fixed Genotype-Phenotype Mapping in Genetic Algorithms to Induce Phenotypic Variability over Deceptive Uncertain Landscapes
SeamusHill.html
ColmO'Riordan.html
http___dx.doi.org_10.1109_CEC.2011.5949780 http://dx.doi.org/10.1109/CEC.2011.5949780
Hillar:2009:eureqa On the article ``Distilling free-form natural laws from experimental data''
ChristopherJHillar.html
FriedrichTSommer.html
http___www.msri.org_people_members_chillar_files_hs09b.pdf http://www.msri.org/people/members/chillar/files/hs09b.pdf
hinchcliffe:1996:c2GPcpsm A comparison of two Genetic Programming Algorithms Applied to Chemical Process Systems Modelling
MarkPHinchliffe.html
MarkJWillis.html
HugoHiden.html
MingTTham.html
hinchliffe:1996:mcpsm-g Modelling Chemical Process Systems Using a Multi-Gene Genetic Programming Algorithm
MarkPHinchliffe.html
HugoHiden.html
BenMcKay.html
MarkJWillis.html
MingTTham.html
GeoffreyWBarton.html
hinchliffe:1998:cpsmumoGP Chemical Process Sytems Modelling Using Multi-objective Genetic Programming
MarkPHinchliffe.html
MarkJWillis.html
MingTTham.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_gp1998_hinchliffe_1998_cpsmumoGP.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/gp1998/hinchliffe_1998_cpsmumoGP.pdf
hinchliffe:1999:DCPMUMBFGPA Dynamic Chemical Process Modelling Using a Multiple Basis Function Genetic Programming Algorithm
MarkPHinchliffe.html
MarkJWillis.html
MingTTham.html
http___gpbib.cs.ucl.ac.uk_gecco1999_RW-746.pdf http://gpbib.cs.ucl.ac.uk/gecco1999/RW-746.pdf
http___gpbib.cs.ucl.ac.uk_gecco1999_RW-746.ps http://gpbib.cs.ucl.ac.uk/gecco1999/RW-746.ps
hinchliffe:thesis Dynamic Modelling Using Genetic Programming
MarkPHinchliffe.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_hinchliffe_Thesis.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/hinchliffe:Thesis.pdf
http___ethos.bl.uk_OrderDetails.do_did_5_uin_uk.bl.ethos.391407 http://ethos.bl.uk/OrderDetails.do?did=5&uin=uk.bl.ethos.391407
oai:CiteSeerPSU:263745 Dynamic Chemical Process Modelling Using a Multiple Basis Function Genetic Programming Algorithm
MarkPHinchliffe.html
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MingTTham.html
GaryAMontague.html
http___citeseer.ist.psu.edu_rd_13718071_2C263745_2C1_2C0.25_2CDownload_http___citeseer.ist.psu.edu_cache_papers_cs_12773_http_zSzzSzwww.iasted.comzSzconferenceszSz2000zSzaustriazSzabstractszSz306-089.pdf_dynamic-chemical-process-modelling.pdf http://citeseer.ist.psu.edu/rd/13718071%2C263745%2C1%2C0.25%2CDownload/http://citeseer.ist.psu.edu/cache/papers/cs/12773/http:zSzzSzwww.iasted.comzSzconferenceszSz2000zSzaustriazSzabstractszSz306-089.pdf/dynamic-chemical-process-modelling.pdf
http___citeseer.ist.psu.edu_263745.html http://citeseer.ist.psu.edu/263745.html
hinchliffe:2002:IFAC Dynamic Modelling Using Genetic Programming
MarkPHinchliffe.html
MarkJWillis.html
http___www.ifac-papersonline.net_Detailed_26074.html http://www.ifac-papersonline.net/Detailed/26074.html
http___dx.doi.org_10.3182_20020721-6-ES-1901.00443 http://dx.doi.org/10.3182/20020721-6-ES-1901.00443
Hinchliffe:2003:CCE Dynamic systems modelling using genetic programming
MarkPHinchliffe.html
MarkJWillis.html
http___www.sciencedirect.com_science_article_B6TFT-49MDYGW-2_2_742bcc7f22240c7a0381027aa5ff7e73 http://www.sciencedirect.com/science/article/B6TFT-49MDYGW-2/2/742bcc7f22240c7a0381027aa5ff7e73
http___dx.doi.org_10.1016_j.compchemeng.2003.06.001 http://dx.doi.org/10.1016/j.compchemeng.2003.06.001
conf/ivcnz/HindmarshAZ12 Genetic programming for improving image descriptors generated using the scale-invariant feature transform
SamuelHindmarsh.html
PeterAndreae.html
MengjieZhang.html
http___dl.acm.org_citation.cfm_id_2425836 http://dl.acm.org/citation.cfm?id=2425836
http___dx.doi.org_10.1145_2425836.2425855 http://dx.doi.org/10.1145/2425836.2425855
Hingston:2011:RTwC Red Teaming with Coevolution
PhilipHingston.html
MikePreuss.html
http___dx.doi.org_10.1109_CEC.2011.5949747 http://dx.doi.org/10.1109/CEC.2011.5949747
hintze:2018:GPTP The Evolutionary Buffet Method
ArendHintze.html
JordenSchossau.html
CliffordBohm.html
http___link.springer.com_chapter_10.1007_978-3-030-04735-1_2 http://link.springer.com/chapter/10.1007/978-3-030-04735-1_2
http___dx.doi.org_10.1007_978-3-030-04735-1_2 http://dx.doi.org/10.1007/978-3-030-04735-1_2
hirasawa:2001:cgnpgp Comparison between Genetic Network Programming (GNP) and Genetic Programming (GP)
KotaroHirasawa.html
MasafumiOkubo.html
JingluHu.html
JunichiMurata.html
http___dx.doi.org_10.1109_CEC.2001.934337 http://dx.doi.org/10.1109/CEC.2001.934337
Hirayama:2008:gecco Fault tolerant control using Cartesian genetic programming
YoshikazuHirayama.html
TimClarke.html
JulianFMiller.html
http___gpbib.cs.ucl.ac.uk_gecco2008_docs_p1523.pdf http://gpbib.cs.ucl.ac.uk/gecco2008/docs/p1523.pdf
http___dx.doi.org_10.1145_1389095.1389389 http://dx.doi.org/10.1145/1389095.1389389
Hirotani:2021:IWCIA An Evolutionary Method of Computation for Dynamic Scheduling Problems with Periodic Demand
DaisukeHirotani.html
TomohiroHayashida.html
IchiroNishizaki.html
ShinyaSekizaki.html
IbukiMaeda.html
http___dx.doi.org_10.1109_IWCIA52852.2021.9626045 http://dx.doi.org/10.1109/IWCIA52852.2021.9626045
Hiroyasu:2010:CISP Comparison of GP and SAP in the image-processing filter construction using pathology images
TomoyukiHiroyasu.html
SosukeFujita.html
AkihitoWatanabe.html
MitsunoriMiki.html
MakiOgura.html
ManabuFukumoto.html
http___dx.doi.org_10.1109_CISP.2010.5646895 http://dx.doi.org/10.1109/CISP.2010.5646895
Hiroyasu:2012:SCIS Algorithms for Automatic Extraction of Feature Values of Corneal Endothelial Cells using Genetic Programming
TomoyukiHiroyasu.html
SakitoNunokawa.html
HiroakiYamaguchi.html
NorikoKoizumi.html
NaokiOkumura.html
HisatakeYokouchi.html
http___dx.doi.org_10.1109_SCIS-ISIS.2012.6505152 http://dx.doi.org/10.1109/SCIS-ISIS.2012.6505152
Hiroyasu:2013:SMC Extracting Rules for Cell Segmentation in Corneal Endothelial Cell Images Using GP
TomoyukiHiroyasu.html
ShunsukeSekiya.html
SakitoNunokawa.html
NorikoKoizumi.html
NaokiOkumura.html
UtakoYamamoto.html
http___dx.doi.org_10.1109_SMC.2013.305 http://dx.doi.org/10.1109/SMC.2013.305
Hiroyasu:2014:CIDM A Feature Transformation Method using Genetic Programming for Two-Class Classification
TomoyukiHiroyasu.html
ToshihideShiraishi.html
TomoyaYoshida.html
UtakoYamamoto.html
http___dx.doi.org_10.1109_CIDM.2014.7008673 http://dx.doi.org/10.1109/CIDM.2014.7008673
GPandIPDpaper1999Hirsch Modelling exchange using the prisoner's dilemma and genetic programming
LaurenceHirsch.html
MasoudSaeedi.html
http___shura.shu.ac.uk_id_eprint_3809 http://shura.shu.ac.uk/id/eprint/3809
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_GPandIPDpaper1999Hirsch.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/GPandIPDpaper1999Hirsch.pdf
hirsch:2004:eurogp Evolving Text Classifiers with Genetic Programming
LaurenceHirsch.html
MasoudSaeedi.html
RobinHirsch.html
http___dx.doi.org_10.1007_978-3-540-24650-3_29 http://dx.doi.org/10.1007/978-3-540-24650-3_29
eurogp:HirschSH05 Evolving Rules for Document Classification
LaurenceHirsch.html
MasoudSaeedi.html
RobinHirsch.html
http___dx.doi.org_10.1007_978-3-540-31989-4_8 http://dx.doi.org/10.1007/978-3-540-31989-4_8
http___dx.doi.org_10.1007_b107383 http://dx.doi.org/10.1007/b107383
journals/aai/HirschSH05 Evolving Text Classification Rules with Genetic Programming
LaurenceHirsch.html
MasoudSaeedi.html
RobinHirsch.html
http___www.journalsonline.tandf.co.uk_openurl.asp_genre_article_issn_0883-9514_volume_19_issue_7_spage_659 http://www.journalsonline.tandf.co.uk/openurl.asp?genre=article&issn=0883-9514&volume=19&issue=7&spage=659
http___dx.doi.org_10.1080_08839510590967307 http://dx.doi.org/10.1080/08839510590967307
1277279 Evolving Lucene search queries for text classification
LaurenceHirsch.html
RobinHirsch.html
MasoudSaeedi.html
http___gpbib.cs.ucl.ac.uk_gecco2007_docs_p1604.pdf http://gpbib.cs.ucl.ac.uk/gecco2007/docs/p1604.pdf
http___dx.doi.org_10.1145_1276958.1277279 http://dx.doi.org/10.1145/1276958.1277279
Hirsch:2010:cec Evolved Apache Lucene SpanFirst queries are good text classifiers
LaurenceHirsch.html
http___dx.doi.org_10.1109_CEC.2010.5585955 http://dx.doi.org/10.1109/CEC.2010.5585955
hirsh:2000:GP Genetic Programming
HaymHirsh.html
WolfgangBanzhaf.html
JohnKoza.html
ConorRyan.html
LeeSpector.html
ChristianJacob.html
http___ieeexplore.ieee.org_iel5_5254_18363_00846288.pdf http://ieeexplore.ieee.org/iel5/5254/18363/00846288.pdf
http___dx.doi.org_10.1109_5254.846288 http://dx.doi.org/10.1109/5254.846288
Hiruma:2011:EaERTG Evolving an Effective Robot Tour Guide
HideruHiruma.html
AlexSFukunaga.html
KazukiKomiya.html
HitoshiIba.html
http___dx.doi.org_10.1109_CEC.2011.5949610 http://dx.doi.org/10.1109/CEC.2011.5949610
hiruta2021tom Automated construction of Transferable loading algorithm with Cartesian Genetic Programming
YusukeHiruta.html
KeiNishihara.html
YujiKoguma.html
MasakazuFujii.html
MasayaNakata.html
http___id.nii.ac.jp_1001_00208645 http://id.nii.ac.jp/1001/00208645
https___ipsj.ixsq.nii.ac.jp_ej__action_repository_uri_item_id_208747_file_id_1_file_no_1 https://ipsj.ixsq.nii.ac.jp/ej/?action=repository_uri&item_id=208747&file_id=1&file_no=1
Hiruta:2022:IEEEAccess Automatic Construction of Loading Algorithms With Interactive Genetic Programming
YusukeHiruta.html
KeiNishihara.html
YujiKoguma.html
MasakazuFujii.html
MasayaNakata.html
http___dx.doi.org_10.1109_ACCESS.2022.3225543 http://dx.doi.org/10.1109/ACCESS.2022.3225543
Hlavac:2016:SCSP A program searching for a functional dependence using genetic programming with coefficient adjustment
VladimirHlavac.html
http___dx.doi.org_10.1109_SCSP.2016.7501014 http://dx.doi.org/10.1109/SCSP.2016.7501014
hlavac:2019:RASC Accelerated Genetic Programming
VladimirHlavac.html
http___link.springer.com_chapter_10.1007_978-3-319-97888-8_9 http://link.springer.com/chapter/10.1007/978-3-319-97888-8_9
http___dx.doi.org_10.1007_978-3-319-97888-8_9 http://dx.doi.org/10.1007/978-3-319-97888-8_9
Hmida:2016:SmartWorld Hierarchical Data Topology Based Selection for Large Scale Learning
HmidaHmida.html
SanaBenHamida.html
AmelBorgi.html
MartaRukoz.html
http___dx.doi.org_10.1109_UIC-ATC-ScalCom-CBDCom-IoP-SmartWorld.2016.0186 http://dx.doi.org/10.1109/UIC-ATC-ScalCom-CBDCom-IoP-SmartWorld.2016.0186
conf/inns/HmidaHBR16 Sampling Methods in Genetic Programming Learners from Large Datasets: A Comparative Study
HmidaHmida.html
SanaBenHamida.html
AmelBorgi.html
MartaRukoz.html
http___dx.doi.org_10.1007_978-3-319-47898-2_6 http://dx.doi.org/10.1007/978-3-319-47898-2_6
Hmida:2019:ICDS A new adaptive sampling approach for Genetic Programming
HmidaHmida.html
SanaBenHamida.html
AmelBorgi.html
MartaRukoz.html
http___dx.doi.org_10.1109_ICDS47004.2019.8942353 http://dx.doi.org/10.1109/ICDS47004.2019.8942353
HMIDA2018302 Scale Genetic Programming for large Data Sets: Case of Higgs Bosons Classification
HmidaHmida.html
SanaBenHamida.html
AmelBorgi.html
MartaRukoz.html
http___www.sciencedirect.com_science_article_pii_S1877050918312407 http://www.sciencedirect.com/science/article/pii/S1877050918312407
http___dx.doi.org_10.1016_j.procs.2018.07.264 http://dx.doi.org/10.1016/j.procs.2018.07.264
DBLP:conf/bis/HmidaHBR19 Genetic Programming over Spark for Higgs Boson Classification
HmidaHmida.html
SanaBenHamida.html
AmelBorgi.html
MartaRukoz.html
https___doi.org_10.1007_978-3-030-20485-3_23 https://doi.org/10.1007/978-3-030-20485-3_23
http___dx.doi.org_10.1007_978-3-030-20485-3_23 http://dx.doi.org/10.1007/978-3-030-20485-3_23
https___dblp.org_rec_conf_bis_HmidaHBR19.bib https://dblp.org/rec/conf/bis/HmidaHBR19.bib
DBLP:phd/hal/Hmida19 Extending Genetic Programming for supervised learning from very large datasets (Big data)
HmidaHmida.html
https___tel.archives-ouvertes.fr_tel-03220655_document https://tel.archives-ouvertes.fr/tel-03220655/document
https___tel.archives-ouvertes.fr_tel-03220655_file_2019PSLED047.pdf https://tel.archives-ouvertes.fr/tel-03220655/file/2019PSLED047.pdf
https___tel.archives-ouvertes.fr_tel-03220655 https://tel.archives-ouvertes.fr/tel-03220655
https___dblp.org_rec_phd_hal_Hmida19.bib https://dblp.org/rec/phd/hal/Hmida19.bib
Ho:2009:ispimrc Evolving femtocell coverage optimization algorithms using genetic programming
LesterTWHo.html
ImranAshraf.html
HolgerClaussen.html
http___dx.doi.org_10.1109_PIMRC.2009.5450062 http://dx.doi.org/10.1109/PIMRC.2009.5450062
Ho:2013:PIMRC Online Evolution of Femtocell Coverage Algorithms Using Genetic Programming
LesterTWHo.html
HolgerClaussen.html
DavideCherubini.html
http___dx.doi.org_10.1109_PIMRC.2013.6666667 http://dx.doi.org/10.1109/PIMRC.2013.6666667
ho-ka-pl-14a Towards Self-Adaptive Caches: a Run-Time Reconfigurable Multi-Core Infrastructure
NamHo.html
PaulKaufmann.html
MarcoPlatzner.html
http___dx.doi.org_10.1109_ICES.2014.7008719 http://dx.doi.org/10.1109/ICES.2014.7008719
ho-ah-ka-15a Microarchitectural Optimization by Means of Reconfigurable and Evolvable Cache Mappings
NamHo.html
AbdullahFathiAhmed.html
PaulKaufmann.html
MarcoPlatzner.html
http___dx.doi.org_10.1109_AHS.2015.7231178 http://dx.doi.org/10.1109/AHS.2015.7231178
ho:2006:biosystems Interpretable gene expression classifier with an accurate and compact fuzzy rule base for microarray data analysis
Shinn-YingHo.html
Chih-HungHsieh.html
Hung-MingChen.html
Hui-LingHuang.html
http___dx.doi.org_10.1016_j.biosystems.2006.01.002 http://dx.doi.org/10.1016/j.biosystems.2006.01.002
Nguyen:2001:ADFA-csc A Framework for Tree-adjunct Grammar Guided Genetic Programming
NguyenXuanHoai.html
RI_Bob_McKay.html
http___sc.snu.ac.kr_PAPERS_TAG3P.pdf http://sc.snu.ac.kr/PAPERS/TAG3P.pdf
hoai:2001:AJWIES Solving the Symbolic Regression with Tree-Adjunct Grammar Guided Genetic Programming: The Preliminary Results
NguyenXuanHoai.html
hoai:2001:HIS Solving Trignometric Identities with Tree Adjunct Grammar Guided Genetic Programming
NguyenXuanHoai.html
http___www.amazon.com_Hybrid-Information-Systems-Ajith-Abraham_dp_3790814806_ref_sr_1_8_s_books_ie_UTF8_qid_1326475568_sr_1-8 http://www.amazon.com/Hybrid-Information-Systems-Ajith-Abraham/dp/3790814806/ref=sr_1_8?s=books&ie=UTF8&qid=1326475568&sr=1-8
Nguyen:2001:AJIIPS Solving the Symbolic Regression Problem with Tree-Adjunct Grammar Guided Genetic Programming: The Comparative Results
NguyenXuanHoai.html
RI_Bob_McKay.html
DarylEssam.html
http___sc.snu.ac.kr_PAPERS_xuanetal.pdf http://sc.snu.ac.kr/PAPERS/xuanetal.pdf
hoai:2002:EuroGP Some Experimental Results with Tree Adjunct Grammar Guided Genetic Programming
NguyenXuanHoai.html
RI_Bob_McKay.html
DarylEssam.html
http___dx.doi.org_10.1007_3-540-45984-7_22 http://dx.doi.org/10.1007/3-540-45984-7_22
Nguyen:2002:ICCCS Can Tree Adjunct Grammar Guided Genetic Programming be Good at Finding a Needle in a Haystack? A Case Study
NguyenXuanHoai.html
RI_Bob_McKay.html
DarylEssam.html
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hoai:2002:stsrpwtgggptcr Solving the Symbolic Regression Problem with Tree-Adjunct Grammar Guided Genetic Programming: The Comparative Results
NguyenXuanHoai.html
RI_Bob_McKay.html
DarylEssam.html
RChau.html
http___dx.doi.org_10.1109_CEC.2002.1004435 http://dx.doi.org/10.1109/CEC.2002.1004435
hoai:2002:SEAL Is Ambiguity Useful or Problematic for Grammar Guided Genetic Programming?
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YinShan.html
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hoai03 Tree Adjoining Grammars, Language Bias, and Genetic Programming
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HusseinAAbbass.html
http___www.cs.adfa.edu.au__abbass_publications_hardcopies_TAG3P-EuroGp-03.pdf http://www.cs.adfa.edu.au/~abbass/publications/hardcopies/TAG3P-EuroGp-03.pdf
http___dx.doi.org_10.1007_3-540-36599-0_31 http://dx.doi.org/10.1007/3-540-36599-0_31
Nguyen:2004:IISA Finding Trigonometric Identities with Tree Adjunct Grammar Guided Genetic Programming
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nguyen:2004:eurogp Toward an Alternative Comparison between Different Genetic Programming Systems
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DarylEssam.html
HusseinAAbbass.html
http___dx.doi.org_10.1007_978-3-540-24650-3_7 http://dx.doi.org/10.1007/978-3-540-24650-3_7
nguyen:2004:aiotroiadoitagggp An Investigation on the Roles of Insertion and Deletion Operators in Tree Adjoining Grammar Guided Genetic Programming
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http___dx.doi.org_10.1109_CEC.2004.1330894 http://dx.doi.org/10.1109/CEC.2004.1330894
hoai:sts:gecco2004 Softening the Structural Difficulty in Genetic Programming with TAG-Based Representation and Insertion/Deletion Operators
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http___dx.doi.org_10.1007_b98645 http://dx.doi.org/10.1007/b98645
Nguyen:2004:APCSEL Genetic Transposition in Tree-Adjoining Grammar Guided Genetic Programming: the Relocation Operator
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hoai_thesis A Flexible Representation for Genetic Programming from Natural Language Processing
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http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_hoai_thesis.tar.gz http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/hoai_thesis.tar.gz
eurogp:HoaiMEH05 Genetic Transposition in Tree-Adjoining Grammar Guided Genetic Programming: The Duplication Operator
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Tuan-HaoHoang.html
http___dx.doi.org_10.1007_978-3-540-31989-4_10 http://dx.doi.org/10.1007/978-3-540-31989-4_10
http___dx.doi.org_10.1007_b107383 http://dx.doi.org/10.1007/b107383
HBE:IEETEC:06 Representation and Structural Difficulty in Genetic Programming
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http___dx.doi.org_10.1109_TEVC.2006.871252 http://dx.doi.org/10.1109/TEVC.2006.871252
HOANG:2017:Measurement Prediction of chloride diffusion in cement mortar using Multi-Gene Genetic Programming and Multivariate Adaptive Regression Splines
Nhat-DucHoang.html
Chun-TaoChen.html
Kuo-WeiLiao.html
http___dx.doi.org_10.1016_j.measurement.2017.08.031 http://dx.doi.org/10.1016/j.measurement.2017.08.031
http___www.sciencedirect.com_science_article_pii_S0263224117305365 http://www.sciencedirect.com/science/article/pii/S0263224117305365
Hoang:2018:NatHaz Spatial prediction of rainfall-induced shallow landslides using gene expression programming integrated with GIS: a case study in Vietnam
Nhat-DucHoang.html
DieuTienBui.html
http___link.springer.com_10.1007_s11069-018-3286-z http://link.springer.com/10.1007/s11069-018-3286-z
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hoang:2022:Mathematics Machine Learning-Based Estimation of the Compressive Strength of Self-Compacting Concrete: A Multi-Dataset Study
Nhat-DucHoang.html
https___www.mdpi.com_2227-7390_10_20_3771 https://www.mdpi.com/2227-7390/10/20/3771
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Hoang:mastersthesis Representation and Data Preparation Issues in Ecological Time-Series Modeling using Genetic Programming
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Hao:2004:aspgp Does it Matter Where you Start? A Comparison of Two Initialisation Strategies for Grammar Guided Genetic Programming
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NguyenXuanHoai.html
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hoang:2005:GPTP The Importance of Local Search: A Grammar Based Approach to Environmental Time Series Modelling
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DarylEssam.html
http___dx.doi.org_10.1007_0-387-28111-8_11 http://dx.doi.org/10.1007/0-387-28111-8_11
1144141 ORDERTREE: a new test problem for genetic programming
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http___dx.doi.org_10.1145_1143997.1144141 http://dx.doi.org/10.1145/1143997.1144141
Hoang:2006:CEC Solving Symbolic Regression Problems using Incremental Evaluation in Genetic Programming
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NguyenXuanHoai.html
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Hao:2006:ASPGP Developmental evaluation in genetic programming: A TAG-based framework
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Hoang:2007:ISICA Building on Success in Genetic Programming:Adaptive Variation \& Developmental Evaluation
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conf/isica/HoangEMH07 Building on Success in Genetic Programming: Adaptive Variation and Developmental Evaluation
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http___dx.doi.org_10.1007_978-3-540-74581-5_15 http://dx.doi.org/10.1007/978-3-540-74581-5_15
HoaMck07 Developmental Evaluation in Genetic Programming: A Position Paper
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http___ieeexplore.ieee.org_xpls_abs_all.jsp_isnumber_4524062_arnumber_4524205_count_165_index_142 http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=4524062&arnumber=4524205&count=165&index=142
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Hoang:2008:IJKBIES Developmental evaluation in Genetic Programming: The TAG-based frame work
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http___dx.doi.org_10.3233_KES-2008-12106 http://dx.doi.org/10.3233/KES-2008-12106
DBLP:conf/ices/HoangMEN08 Learning General Solutions through Multiple Evaluations during Development
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http___dx.doi.org_10.1007_978-3-540-85857-7_18 http://dx.doi.org/10.1007/978-3-540-85857-7_18
Hoang:thesis Evolutionary Developmental Evaluation : the Interplay between Evolution and Development
Tuan-HaoHoang.html
http___handle.unsw.edu.au_1959.4_44870 http://handle.unsw.edu.au/1959.4/44870
http___unsworks.unsw.edu.au_fapi_datastream_unsworks_8166_SOURCE01.pdf http://unsworks.unsw.edu.au/fapi/datastream/unsworks:8166/SOURCE01.pdf
Hoang:2011:ieeeTEC On Synergistic Interactions Between Evolution, Development and Layered Learning
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DarylEssam.html
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http___dx.doi.org_10.1109_TEVC.2011.2150752 http://dx.doi.org/10.1109/TEVC.2011.2150752
hocaoglu:1998: Multi-dimensional Path Planning Evolutionary Computation using Evolutionary Computation
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ArthurCSanderson.html
http___dx.doi.org_10.1109_ICEC.1998.699495 http://dx.doi.org/10.1109/ICEC.1998.699495
journals/ijsinnov/HochinSTN14 Generation of Concurrency Control Program by Extending Functions in Genetic Programming
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ShinjiTamura.html
HirokiNomiya.html
http___dx.doi.org_10.4018_ijsi.2014100102 http://dx.doi.org/10.4018/ijsi.2014100102
Hodan:2020:GECCO Semantically-Oriented Mutation Operator in Cartesian Genetic Programming for Evolutionary Circuit Design
DavidHodan.html
VojtechMrazek.html
ZdenekVasicek.html
https___doi.org_10.1145_3377930.3390188 https://doi.org/10.1145/3377930.3390188
http___dx.doi.org_10.1145_3377930.3390188 http://dx.doi.org/10.1145/3377930.3390188
Hodan:GPEM Semantically‑oriented mutation operator in cartesian genetic programming for evolutionary circuit design
DavidHodan.html
VojtechMrazek.html
ZdenekVasicek.html
https___rdcu.be_cyKFV https://rdcu.be/cyKFV
http___dx.doi.org_10.1007_s10710-021-09416-6 http://dx.doi.org/10.1007/s10710-021-09416-6
Hodjat:2012:GPTP Introducing an Age-Varying Fitness Estimation Function
BabakHodjat.html
HormozShahrzad.html
http___dx.doi.org_10.1007_978-1-4614-6846-2_5 http://dx.doi.org/10.1007/978-1-4614-6846-2_5
http___dx.doi.org_10.1007_978-1-4614-6846-2_5 http://dx.doi.org/10.1007/978-1-4614-6846-2_5
Hodjat:2013:GPTP Maintenance of a Long Running Distributed Genetic Programming System for Solving Problems Requiring Big Data
BabakHodjat.html
ErikHemberg.html
HormozShahrzad.html
Una-MayO'Reilly.html
http___dx.doi.org_10.1007_978-1-4939-0375-7_4 http://dx.doi.org/10.1007/978-1-4939-0375-7_4
Hodjat:2015:GPTP Symbolic nPool: Massively Distributed Simultaneous Evolution and Cross-Validation in EC-Star
BabakHodjat.html
HormozShahrzad.html
http___www.springer.com_us_book_9783319342214 http://www.springer.com/us/book/9783319342214
http___dx.doi.org_10.1007_978-3-319-34223-8_5 http://dx.doi.org/10.1007/978-3-319-34223-8_5
Hodjat:2016:GPTP PRETSL: Distributed Probabilistic Rule Evolution for Time-Series Classification
BabakHodjat.html
HormozShahrzad.html
RistoMiikkulainen.html
LawrenceMurray.html
ChrisHolmes.html
http___nn.cs.utexas.edu__hodjat_gptp16 http://nn.cs.utexas.edu/?hodjat:gptp16
http___nn.cs.utexas.edu_downloads_papers_hodjat.gptp16.pdf http://nn.cs.utexas.edu/downloads/papers/hodjat.gptp16.pdf
https___www.springer.com_us_book_9783319970875 https://www.springer.com/us/book/9783319970875
http___dx.doi.org_10.1007_978-3-319-97088-2_9 http://dx.doi.org/10.1007/978-3-319-97088-2_9
hodjat:alife22 DIAS: A Domain-Independent Alife-Based Problem-Solving System
BabakHodjat.html
HormozShahrzad.html
RistoMiikkulainen.html
http___nn.cs.utexas.edu__hodjat_alife22 http://nn.cs.utexas.edu/?hodjat:alife22
https___direct.mit.edu_isal_proceedings-pdf_isal_34_32_2035327_isal_a_00514.pdf https://direct.mit.edu/isal/proceedings-pdf/isal/34/32/2035327/isal_a_00514.pdf
http___dx.doi.org_10.1162_isal_a_00514 http://dx.doi.org/10.1162/isal_a_00514
Hofer:2013:ISSREW Mutation-based spreadsheet debugging
BirgitHofer.html
FranzWotawa.html
http___dx.doi.org_10.1109_ISSREW.2013.6688892 http://dx.doi.org/10.1109/ISSREW.2013.6688892
oai:etd.ohiolink.edu:wright1133882117 Pattern Recognition via Machine Learning with Genetic Decision-Programming
CarlCHoff.html
http___rave.ohiolink.edu_etdc_view_acc_num_wright1133882117.pdf http://rave.ohiolink.edu/etdc/view?acc_num=wright1133882117.pdf
http___rave.ohiolink.edu_etdc_view_acc_num_wright1133882117 http://rave.ohiolink.edu/etdc/view?acc_num=wright1133882117
Hoffmann:2001:IS Genetic programming for model selection of TSK-fuzzy systems
FrankHoffmann.html
OliverNelles.html
http___www.sciencedirect.com_science_article_B6V0C-43DDW06-2_1_69cfc0ce8977ebea74cb8cec74efa722 http://www.sciencedirect.com/science/article/B6V0C-43DDW06-2/1/69cfc0ce8977ebea74cb8cec74efa722
http___citeseer.ist.psu.edu_cache_papers_cs_22985_http_zSzzSzwww.nada.kth.sezSz_hoffmannzSzjis2001.pdf_genetic-programming-for-model.pdf http://citeseer.ist.psu.edu/cache/papers/cs/22985/http:zSzzSzwww.nada.kth.sezSz~hoffmannzSzjis2001.pdf/genetic-programming-for-model.pdf
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http___dx.doi.org_10.1016_S0020-0255_01_00139-6 http://dx.doi.org/10.1016/S0020-0255(01)00139-6
hoffmann:2004:GPEM Ecological Model Selection via Evolutionary Computation and Information Theory
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OseiMBonsu.html
DanielEBentil.html
http___dx.doi.org_10.1023_B_GENP.0000023690.71330.42 http://dx.doi.org/10.1023/B:GENP.0000023690.71330.42
Hofmann:2015:evoMusArt A Genetic Programming Approach to Generating Musical Compositions
DavidMHofmann.html
http___dx.doi.org_10.1007_978-3-319-16498-4_9 http://dx.doi.org/10.1007/978-3-319-16498-4_9
faucris.112822204 Fast Evolutionary Algorithms: Comparing High Performance Capabilities of CPUs and GPUs
JohannesHofmann.html
DietmarFey.html
https___users.ece.cmu.edu__franzf_papers_hpec09-lrb.pdf https://users.ece.cmu.edu/~franzf/papers/hpec09-lrb.pdf
hogan:2013:EuroGP How Early and with How Little Data? Using Genetic Programing to Evolve Endurance Classifiers for MLC NAND Flash Memory
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ConorRyan.html
http___dx.doi.org_10.1007_978-3-642-37207-0_22 http://dx.doi.org/10.1007/978-3-642-37207-0_22
Hogan:2013:GECCO Estimating MLC NAND flash endurance: a genetic programming based symbolic regression application
DamienHogan.html
TomArbuckle.html
ConorRyan.html
http___dx.doi.org_10.1145_2463372.2463537 http://dx.doi.org/10.1145/2463372.2463537
Hogan:2012:ieeeCIS Evolving a storage block endurance classifier for Flash memory: A trial implementation
DamienHogan.html
TomArbuckle.html
ConorRyan.html
http___dx.doi.org_10.1109_CIS.2013.6782154 http://dx.doi.org/10.1109/CIS.2013.6782154
Hogan_2013_genetics Genetic programming based predictions and estimations for the endurance and retention of NAND flash memory devices
DamienHogan.html
http___hdl.handle.net_10344_4875 http://hdl.handle.net/10344/4875
https___ulir.ul.ie_bitstream_handle_10344_4875_Hogan_2013_genetics.pdf https://ulir.ul.ie/bitstream/handle/10344/4875/Hogan_2013_genetics.pdf
FrederikHogenboomPhDThesis Automated detection of financial events in news text
FrederikHogenboom.html
https___personal.eur.nl_frasincar_theses_FrederikHogenboomPhDThesis.pdf https://personal.eur.nl/frasincar/theses/FrederikHogenboomPhDThesis.pdf
https___research.tue.nl_en_publications_automated-detection-of-financial-events-in-news-text https://research.tue.nl/en/publications/automated-detection-of-financial-events-in-news-text
Holena:2011:GECCOcomp Case study: constraint handling in evolutionary optimization of catalytic materials
MartinHolena.html
DavidLinke.html
LukasBajer.html
http___dx.doi.org_10.1145_2001858.2002015 http://dx.doi.org/10.1145/2001858.2002015
eurogp07:holladay FIFTH: A Stack Based GP Language for Vector Processing
KennethLHolladay.html
KayARobbins.html
JefferyvonRonne.html
http___dx.doi.org_10.1007_978-3-540-71605-1_10 http://dx.doi.org/10.1007/978-3-540-71605-1_10
Holladay:2007:icdsp Evolution of Signal Processing Algorithms using Vector Based Genetic Programming
KennethLHolladay.html
KayARobbins.html
http___dx.doi.org_10.1109_ICDSP.2007.4288629 http://dx.doi.org/10.1109/ICDSP.2007.4288629
DBLP:conf/gecco/Holladay09 Characterizing the genetic programming environment for fifth (GPE5) on a high performance computing cluster
KennethLHolladay.html
http___dx.doi.org_10.1145_1569901.1570084 http://dx.doi.org/10.1145/1569901.1570084
Holladay:2011:GECCOcomp Automatic pyrolysis mass loss modeling from thermo-gravimetric analysis data using genetic programming
KennethLHolladay.html
MarshallSharp.html
MarcJanssens.html
http___dx.doi.org_10.1145_2001858.2002063 http://dx.doi.org/10.1145/2001858.2002063
oai:CiteSeerPSU:279876 Design of Highly Parallel Edge Detection Nodes Using Evolutionary Techniques
GordonSHollingworth.html
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http___citeseer.ist.psu.edu_279876.html http://citeseer.ist.psu.edu/279876.html
oai:CiteSeerPSU:280684 Simulation of Evolvable Hardware to Solve Low Level Image Processing Tasks
GordonSHollingworth.html
AndrewMTyrrell.html
StephenLSmith.html
http___dx.doi.org_10.1007_10704703_4 http://dx.doi.org/10.1007/10704703_4
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http___citeseer.ist.psu.edu_280684.html http://citeseer.ist.psu.edu/280684.html
Hollis:2006:BRM NUANCE: Naturalistic University of Alberta Nonlinear Correlation Explorer
GeoffHollis.html
ChrisWestbury.html
https___link.springer.com_content_pdf_10.3758_BF03192745.pdf https://link.springer.com/content/pdf/10.3758/BF03192745.pdf
https___pubmed.ncbi.nlm.nih.gov_16817509_ https://pubmed.ncbi.nlm.nih.gov/16817509/
http___dx.doi.org_10.3758_bf03192745 http://dx.doi.org/10.3758/bf03192745
holmes:1995:odin The Odin Genetic Programming System
PaulHolmes.html
http___citeseer.ist.psu.edu_holmes95odin.html http://citeseer.ist.psu.edu/holmes95odin.html
holmes:1996:fllc Functional Languages on Linear Chromosomes
PaulHolmes.html
PeterJBarclay.html
http___cognet.mit.edu_sites_default_files_books_9780262315876_pdfs_9780262315876_chap66.pdf http://cognet.mit.edu/sites/default/files/books/9780262315876/pdfs/9780262315876_chap66.pdf
http___cognet.mit.edu_library_books_view_isbn_0262611279 http://cognet.mit.edu/library/books/view?isbn=0262611279
Holzinger:2010:gecco Initialization parameter sweep in ATHENA: optimizing neural networks for detecting gene-gene interactions in the presence of small main effects
EmilyRoseHolzinger.html
CarrieCBuchanan.html
ScottMDudek.html
EricCTorstenson.html
StephenDTurner.html
MarylynDRitchie.html
http___dx.doi.org_10.1145_1830483.1830519 http://dx.doi.org/10.1145/1830483.1830519
holzinger:evobio12 Comparison of methods for meta-dimensional data analysis using in silico and biological data sets
EmilyRoseHolzinger.html
ScottMDudek.html
AlexTFrase.html
BrookeLFridley.html
PrabhakarChalise.html
MarylynDRitchie.html
http___dx.doi.org_10.1007_978-3-642-29066-4_12 http://dx.doi.org/10.1007/978-3-642-29066-4_12
Holzinger:Thesis Development, Optimization, and Application of a Meta-Dimensional Analysis Pipeline Using in Silico and Natural Data Sets
EmilyRoseHolzinger.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_Holzinger_Thesis.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/Holzinger_Thesis.pdf
https___search.proquest.com_docview_1444626517_4BBFCADE1E4F4C51PQ_11 https://search.proquest.com/docview/1444626517/4BBFCADE1E4F4C51PQ/11
Homaifar:1999:CIRA Soft computing-based design and control for mobile robot path tracking
AbdollahHomaifar.html
DarylBattle.html
EdwardWTunstel.html
http___ieeexplore.ieee.org_iel5_6589_17587_00809943.pdf_isNumber_17587 http://ieeexplore.ieee.org/iel5/6589/17587/00809943.pdf?isNumber=17587
http___dx.doi.org_10.1109_CIRA.1999.809943 http://dx.doi.org/10.1109/CIRA.1999.809943
Homaifar:2000:IJKBIES Genetic Programming Design of Fuzzy Controllers for Mobile Robot Path Tracking
AbdollahHomaifar.html
DarylBattle.html
EdwardWTunstel.html
GerryDozier.html
hondo:1996:srrs Sharing and Refinement for Reusable Subroutines of Genetic Programming
NaohiroHondo.html
HitoshiIba.html
YukinoriKakazu.html
http___dx.doi.org_10.1109_ICEC.1996.542661 http://dx.doi.org/10.1109/ICEC.1996.542661
hondo:1996:COASTgp96 COAST: An Approach to Robustness and Reusability in Genetic Programming
NaohiroHondo.html
HitoshiIba.html
YukinoriKakazu.html
http___cognet.mit.edu_sites_default_files_books_9780262315876_pdfs_9780262315876_chap68.pdf http://cognet.mit.edu/sites/default/files/books/9780262315876/pdfs/9780262315876_chap68.pdf
http___cognet.mit.edu_library_books_view_isbn_0262611279 http://cognet.mit.edu/library/books/view?isbn=0262611279
hondo:1996:rGPrl Robust GP in Robot Learning
NaohiroHondo.html
HitoshiIba.html
YukinoriKakazu.html
http___dx.doi.org_10.1007_3-540-61723-X_1038 http://dx.doi.org/10.1007/3-540-61723-X_1038
hondo:1998:mapssrc Multi-Agent Programming System for Starfish Robot Control
NaohiroHondo.html
KojiNishikawa.html
HiroshiYokoi.html
YukinoriKakazu.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_gp1998_hondo_1998_mapssrc.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/gp1998/hondo_1998_mapssrc.pdf
Hong:2006:IDETC/CIE Integrated Optimal Product Design and Process Planning for One-of-a-Kind Production
GangHong.html
LilinHu.html
DeyiXue.html
Yiliu_Paul_Tu.html
YLXiong.html
http___dx.doi.org_10.1115_DETC2006-99325 http://dx.doi.org/10.1115/DETC2006-99325
Hong:2008:IDETC/CIE Integrated Optimal Product Design and Process Planning for One-of-a-Kind Production
GangHong.html
PRDean.html
WYang.html
Yiliu_Paul_Tu.html
DeyiXue.html
http___dx.doi.org_10.1115_DETC2008-49141 http://dx.doi.org/10.1115/DETC2008-49141
GangHong:thesis Research on Product Design and Manufacture for One-of-a-Kind Production
GangHong.html
http___schulich.ucalgary.ca_mechanical_files_mechanical_Gang_20Hong-PhD_20Abstract.pdf http://schulich.ucalgary.ca/mechanical/files/mechanical/Gang%20Hong-PhD%20Abstract.pdf
Hong:2008:IJPR Identification of the optimal product configuration and parameters based on individual customer requirements on performance and costs in one-of-a-kind production
GangHong.html
LilinHu.html
DeyiXue.html
Yiliu_Paul_Tu.html
YLXiong.html
http___dx.doi.org_10.1080_00207540601099274 http://dx.doi.org/10.1080/00207540601099274
Hong2010270 Rapid identification of the optimal product configuration and its parameters based on customer-centric product modeling for one-of-a-kind production
GangHong.html
DeyiXue.html
Yiliu_Paul_Tu.html
http___dx.doi.org_10.1016_j.compind.2009.09.006 http://dx.doi.org/10.1016/j.compind.2009.09.006
http___people.ucalgary.ca__dxue_journal_COMIND2010.pdf http://people.ucalgary.ca/~dxue/journal/COMIND2010.pdf
hong:1999:DIRUGP Digbital Image Restoration Using Genetic Programming
HongSHong.html
Hong:aspgp03 Effective Rule Discovery Using Genetic Programming for DNA Microarray Analysis
Jin-HyukHong.html
SungBaeCho.html
conf/mdai/HongC05 Cancer Prediction Using Diversity-Based Ensemble Genetic Programming
Jin-HyukHong.html
SungBaeCho.html
http___dx.doi.org_10.1007_11526018_29 http://dx.doi.org/10.1007/11526018_29
hong:2004:eurogp Lymphoma Cancer Classification Using Genetic Programming with SNR Features
Jin-HyukHong.html
SungBaeCho.html
http___dx.doi.org_10.1007_978-3-540-24650-3_8 http://dx.doi.org/10.1007/978-3-540-24650-3_8
Hong:2004:aspgp Ensemble Genetic Programming for Classifying Gene Expression Data
Jin-HyukHong.html
SungBaeCho.html
http___sclab.yonsei.ac.kr_publications_Papers_IC_ASPGP04_Final.pdf http://sclab.yonsei.ac.kr/publications/Papers/IC/ASPGP04_Final.pdf
Hong:Tco:06 The classification of cancer based on DNA microarray data that uses diverse ensemble genetic programming
Jin-HyukHong.html
SungBaeCho.html
http___dx.doi.org_10.1016_j.artmed.2005.06.002 http://dx.doi.org/10.1016/j.artmed.2005.06.002
Hong:2006:ICONIP Language Learning for the Autonomous Mental Development of Conversational Agents
Jin-HyukHong.html
Sung-SooLim.html
SungBaeCho.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.457.234 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.457.234
http___sclab.yonsei.ac.kr_publications_Papers_LNCS_ICONIP06_JHHong2.pdf http://sclab.yonsei.ac.kr/publications/Papers/LNCS/ICONIP06_JHHong2.pdf
http___dx.doi.org_10.1007_11893295_98 http://dx.doi.org/10.1007/11893295_98
Hong:2007:TEC Autonomous Language Development Using Dialogue-Act Templates and Genetic Programming
Jin-HyukHong.html
Sung-SooLim.html
SungBaeCho.html
http___dx.doi.org_10.1109_TEVC.2006.890265 http://dx.doi.org/10.1109/TEVC.2006.890265
hong:2013:EuroGP Automated Design of Probability Distributions as Mutation Operators for Evolutionary Programming Using Genetic Programming
LibinHong.html
JohnRWoodward.html
JingpengLi.html
EnderOzcan.html
http___dx.doi.org_10.1007_978-3-642-37207-0_8 http://dx.doi.org/10.1007/978-3-642-37207-0_8
Hong:2016:GECCO Automatically Designing More General Mutation Operators of Evolutionary Programming for Groups of Function Classes Using a Hyper-Heuristic
LibinHong.html
http___dx.doi.org_10.1145_2908812.2908958 http://dx.doi.org/10.1145/2908812.2908958
Hong:2018:ASC A hyper-heuristic approach to automated generation of mutation operators for evolutionary programming
LibinHong.html
JohnHDrake.html
JohnRWoodward.html
EnderOzcan.html
http___www.sciencedirect.com_science_article_pii_S1568494617306051 http://www.sciencedirect.com/science/article/pii/S1568494617306051
http___dx.doi.org_10.1016_j.asoc.2017.10.002 http://dx.doi.org/10.1016/j.asoc.2017.10.002
Hong:thesis Hyper-heuristic approaches to automatically designing heuristics as mutation operators for evolutionary programming on function classes
LibinHong.html
http___eprints.nottingham.ac.uk_52348_ http://eprints.nottingham.ac.uk/52348/
http___eprints.nottingham.ac.uk_52348_1_THESIS_LATEST_12JUNE2018.pdf http://eprints.nottingham.ac.uk/52348/1/THESIS_LATEST_12JUNE2018.pdf
https___ethos.bl.uk_OrderDetails.do_uin_uk.bl.ethos.757549 https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.757549
Hong:CIS Hyper-heuristic approach: automatically designing adaptive mutation operators for evolutionary programming
LibinHong.html
JohnRWoodward.html
EnderOzcan.html
FuchangLiu.html
https___rdcu.be_cxGCh https://rdcu.be/cxGCh
http___dx.doi.org_10.1007_s40747-021-00507-6 http://dx.doi.org/10.1007/s40747-021-00507-6
Hong:2002:JH Identification of an urban fractured-rock aquifer dynamics using an evolutionary self-organizing modelling
Yoon-SeokHong.html
MichaelRRosen.html
http___www.sciencedirect.com_science_article_B6V6C-44KPK1K-4_2_cc33fdeeff7d3869ee62940e37e3e133 http://www.sciencedirect.com/science/article/B6V6C-44KPK1K-4/2/cc33fdeeff7d3869ee62940e37e3e133
http___dx.doi.org_10.1016_S0022-1694_01_00587-X http://dx.doi.org/10.1016/S0022-1694(01)00587-X
hong:2003:gecco:workshop Automatic Model Induction of a Biological Waste Water Treatment Process using Context-Free Grammar Genetic Programming
Yoon-SeokHong.html
Hong:2003:WR Evolutionary self-organising modelling of a municipal wastewater treatment plant
Yoon-SeokHong.html
RaoBhamidimarri.html
http___www.sciencedirect.com_science_article_B6V73-47XW9PY-5_2_5581df84c89448cc706b69488765c7e1 http://www.sciencedirect.com/science/article/B6V73-47XW9PY-5/2/5581df84c89448cc706b69488765c7e1
http___dx.doi.org_10.1016_S0043-1354_02_00493-1 http://dx.doi.org/10.1016/S0043-1354(02)00493-1
Hong:2005:WRR Automatic rainfall recharge model induction by evolutionary computational intelligence
Yoon-SeokHong.html
PaulAWhite.html
DavidMScott.html
http___www.agu.org_pubs_crossref_2005_2004WR003577.shtml http://www.agu.org/pubs/crossref/2005/2004WR003577.shtml
http___dx.doi.org_10.1029_2004WR003577 http://dx.doi.org/10.1029/2004WR003577
Hong:2007:ASCE Evolutionary Multivariate Dynamic Process Model Induction for a Biological Nutrient Removal Process
Yoon-SeokHong.html
Byeong-CheonPaik.html
http___dx.doi.org_10.1061__ASCE_0733-9372_2007_133_12_1126_ http://dx.doi.org/10.1061/(ASCE)0733-9372(2007)133:12(1126)
Hong:2012:SERRA Inference model derivation with a pattern analysis for predicting the risk of microbial pollution in a sewer system
Yoon-SeokHong.html
Byeong-CheonPaik.html
http___dx.doi.org_10.1007_s00477-011-0538-9 http://dx.doi.org/10.1007/s00477-011-0538-9
Hongbo:2007:ICEMI Study on Camera Calibration for Binocular Vision Based on Genetic programming
YuanHongbo.html
CaiZhenjiang.html
ChengMan.html
GaoLi'ai.html
http___dx.doi.org_10.1109_ICEMI.2007.4351060 http://dx.doi.org/10.1109/ICEMI.2007.4351060
Hoock:2010:ThRaSH Racing-Based Genetic Programming
Jean-BaptisteHoock.html
OlivierTeytaud.html
http___trsh2010.gforge.inria.fr_abstracts_04Hoock.pdf http://trsh2010.gforge.inria.fr/abstracts/04Hoock.pdf
Hoock:2010:EuroGP Bandit-Based Genetic Programming
Jean-BaptisteHoock.html
OlivierTeytaud.html
http___dx.doi.org_10.1007_978-3-642-12148-7_23 http://dx.doi.org/10.1007/978-3-642-12148-7_23
Hoock:2011:EA Progress Rate in Noisy Genetic Programming for Choosing lambda
Jean-BaptisteHoock.html
OlivierTeytaud.html
http___www.info.univ-angers.fr_ea2011_doc_EA2011_ProceedingsWeb.pdf http://www.info.univ-angers.fr/ea2011/doc/EA2011_ProceedingsWeb.pdf
http___hal.inria.fr_inria-00622150 http://hal.inria.fr/inria-00622150
http___hal.inria.fr_docs_00_62_21_50_PDF_ea2011.pdf http://hal.inria.fr/docs/00/62/21/50/PDF/ea2011.pdf
Hoock:thesis Contributions to Simulation-based High-dimensional Sequential Decision Making
Jean-BaptisteHoock.html
http___tel.archives-ouvertes.fr_tel-00912338 http://tel.archives-ouvertes.fr/tel-00912338
http___tel.archives-ouvertes.fr_docs_00_91_23_38_PDF_VA2_HOOCK_Jean-Baptitste_10042013_SYNTHESE_ANNEXE.pdf http://tel.archives-ouvertes.fr/docs/00/91/23/38/PDF/VA2_HOOCK_Jean-Baptitste_10042013_SYNTHESE_ANNEXE.pdf
http___tel.archives-ouvertes.fr_docs_00_91_23_38_PDF_VA2_HOOCK_Jean-Baptiste_10042013.pdf http://tel.archives-ouvertes.fr/docs/00/91/23/38/PDF/VA2_HOOCK_Jean-Baptiste_10042013.pdf
DBLP:conf/webi/HoogendoornBR19 GP-HD: Using Genetic Programming to Generate Dynamical Systems Models for Health Care
MarkHoogendoorn.html
WardvanBreda.html
JeroenRuwaard.html
https___doi.org_10.1145_3350546.3352494 https://doi.org/10.1145/3350546.3352494
http___dx.doi.org_10.1145_3350546.3352494 http://dx.doi.org/10.1145/3350546.3352494
http___arxiv.org_abs_1904.05815 http://arxiv.org/abs/1904.05815
https___dblp.org_rec_conf_webi_HoogendoornBR19.bib https://dblp.org/rec/conf/webi/HoogendoornBR19.bib
hooper:1996:iarGPes Improving the Accuracy and Robustness of Genetic Programming through Expression Simplification
DaleCHooper.html
NicholasSFlann.html
http___digital.cs.usu.edu__flann_gp.pdf http://digital.cs.usu.edu/~flann/gp.pdf
http___cognet.mit.edu_sites_default_files_books_9780262315876_pdfs_9780262315876_chap67.pdf http://cognet.mit.edu/sites/default/files/books/9780262315876/pdfs/9780262315876_chap67.pdf
http___cognet.mit.edu_library_books_view_isbn_0262611279 http://cognet.mit.edu/library/books/view?isbn=0262611279
Hooper:1997:rhc Recombinative Hill-Climbing: A Stronger Search Method for Genetic Programming
DaleCHooper.html
NicholasSFlann.html
StephanieRFuller.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_gp1997_Hooper_1997_rhc.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/gp1997/Hooper_1997_rhc.pdf
Hoos:2018:AutoAI Automated Artificial Intelligence (AutoAI)
HolgerHHoos.html
https___ada.liacs.nl_auto-ai_vision-paper.pdf https://ada.liacs.nl/auto-ai/vision-paper.pdf
Hoover:2011:GECCOcomp Optimization of grammatical evolution decision trees
KristopherHoover.html
RachelMarceau.html
TyndallHarris.html
NicholasEHardison.html
DavidMReif.html
AlisonAMotsinger.html
http___dx.doi.org_10.1145_2001858.2001879 http://dx.doi.org/10.1145/2001858.2001879
Hoover:2012:GECCOcomp A comparison of GE optimized neural networks and decision trees
KristopherHoover.html
RachelMarceau.html
TyndallHarris.html
DavidMReif.html
AlisonAMotsinger.html
http___dx.doi.org_10.1145_2330784.2330885 http://dx.doi.org/10.1145/2330784.2330885
Horibe:2021:EuroGP Regenerating Soft Robots through Neural Cellular Automata
KazuyaHoribe.html
KathrynWalker.html
SebastianRisi.html
https___arxiv.org_abs_2102.02579 https://arxiv.org/abs/2102.02579
http___dx.doi.org_10.1007_978-3-030-72812-0_3 http://dx.doi.org/10.1007/978-3-030-72812-0_3
http___github.com_KazuyaHoribe_RegeneratingSoftRobots http://github.com/KazuyaHoribe/RegeneratingSoftRobots
Horibe:2022:GPEM Severe damage recovery in evolving soft robots through differentiable programming
KazuyaHoribe.html
KathrynWalker.html
RasmusBergPalm.html
ShyamSudhakaran.html
SebastianRisi.html
https___rdcu.be_cPBBH https://rdcu.be/cPBBH
http___dx.doi.org_10.1007_s10710-022-09433-z http://dx.doi.org/10.1007/s10710-022-09433-z
Horii:2014:IIAIAAI Improvement of the Success Rate of Automatic Generation of Procedural Programs with Variable Initialization Using Genetic Programming
FHorii.html
TeruhisaHochin.html
HirokiNomiya.html
http___dx.doi.org_10.1109_IIAI-AAI.2014.144 http://dx.doi.org/10.1109/IIAI-AAI.2014.144
hornby:2001:taggepd The Advantages of Generative Grammatical Encodings for Physical Design
GregorySHornby.html
JordanBPollack.html
http___www.demo.cs.brandeis.edu_papers_hornby_cec01.pdf http://www.demo.cs.brandeis.edu/papers/hornby_cec01.pdf
http___www.demo.cs.brandeis.edu_papers_hornby_cec01.ps http://www.demo.cs.brandeis.edu/papers/hornby_cec01.ps
http___dx.doi.org_10.1109_CEC.2001.934446 http://dx.doi.org/10.1109/CEC.2001.934446
Hornby:2001:ICRA Evolution of Generative Design Systems for Modular Physical Robots
GregorySHornby.html
HodLipson.html
JordanBPollack.html
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hornby:2001:GECCO Body-Brain Co-evolution Using L-systems as a Generative Encoding
GregorySHornby.html
JordanBPollack.html
http___www.demo.cs.brandeis.edu_papers_hornby_gecco01.pdf http://www.demo.cs.brandeis.edu/papers/hornby_gecco01.pdf
http___www.demo.cs.brandeis.edu_papers_hornby_gecco01.ps http://www.demo.cs.brandeis.edu/papers/hornby_gecco01.ps
http___gpbib.cs.ucl.ac.uk_gecco2001_d07.pdf http://gpbib.cs.ucl.ac.uk/gecco2001/d07.pdf
hornby.cag.01 Evolving L-Systems To Generate Virtual Creatures
GregorySHornby.html
JordanBPollack.html
http___www.demo.cs.brandeis.edu_papers_hornby_cag01.pdf http://www.demo.cs.brandeis.edu/papers/hornby_cag01.pdf
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http___dx.doi.org_10.1016_S0097-8493_01_00157-1 http://dx.doi.org/10.1016/S0097-8493(01)00157-1
Hornby:2002:AL Creating High-Level Components with a Generative Representation for Body-Brain Evolution
GregorySHornby.html
JordanBPollack.html
http___www.demo.cs.brandeis.edu_papers_hornby_alife02.pdf http://www.demo.cs.brandeis.edu/papers/hornby_alife02.pdf
http___ic.arc.nasa.gov_people_hornby_genre_genre.html http://ic.arc.nasa.gov/people/hornby/genre/genre.html
http___mitpress.mit.edu_journals_pdf_alife_8_3_223_0.pdf http://mitpress.mit.edu/journals/pdf/alife_8_3_223_0.pdf
http___dx.doi.org_10.1162_106454602320991837 http://dx.doi.org/10.1162/106454602320991837
hornby_phd03 Generative Representations for Evolutionary Design Automation
GregorySHornby.html
http___www.demo.cs.brandeis.edu_papers_long.html http://www.demo.cs.brandeis.edu/papers/long.html
http___www.demo.cs.brandeis.edu_papers_hornby_phd.pdf http://www.demo.cs.brandeis.edu/papers/hornby_phd.pdf
http___www.demo.cs.brandeis.edu_pr_evo_design_evo_design.html http://www.demo.cs.brandeis.edu/pr/evo_design/evo_design.html
hornby:2003:aaaiS Creating Complex Building Blocks through Generative Representations
GregorySHornby.html
http___citeseer.ist.psu.edu_cache_papers_cs_30633_http_zSzzSzic.arc.nasa.govzSzpeoplezSzhornbyzSzpaperszSzhornby_ascs03.pdf_hornby03creating.pdf http://citeseer.ist.psu.edu/cache/papers/cs/30633/http:zSzzSzic.arc.nasa.govzSzpeoplezSzhornbyzSzpaperszSzhornby_ascs03.pdf/hornby03creating.pdf
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http___ic.arc.nasa.gov_people_hornby_papers_abstracts.html http://ic.arc.nasa.gov/people/hornby/papers/abstracts.html
hornby:2003:gecco Generative Representations for Evolving Families of Designs
GregorySHornby.html
http___ic.arc.nasa.gov_people_hornby_papers_hornby_gecco03.pdf http://ic.arc.nasa.gov/people/hornby/papers/hornby_gecco03.pdf
http___dx.doi.org_10.1007_3-540-45110-2_61 http://dx.doi.org/10.1007/3-540-45110-2_61
hornby:2003:tRA Generative Representations for the Automated Design of Modular Physical Robots
GregorySHornby.html
HodLipson.html
JordanBPollack.html
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http___ieeexplore.ieee.org_iel5_70_27428_01220719.pdf_isnumber_27428_arnumber_1220719 http://ieeexplore.ieee.org/iel5/70/27428/01220719.pdf?isnumber=27428&arnumber=1220719
http___dx.doi.org_10.1109_TRA.2003.814502 http://dx.doi.org/10.1109/TRA.2003.814502
Hornby:SwT:gecco2004 Shortcomings with Tree-Structured Edge Encodings for Neural Networks
GregorySHornby.html
http___dx.doi.org_10.1007_b98645 http://dx.doi.org/10.1007/b98645
http___ic.arc.nasa.gov_people_hornby_papers_hornby_gecco04.ps http://ic.arc.nasa.gov/people/hornby/papers/hornby_gecco04.ps
Hornby:2004:EPb Functional Scalability through Generative Representations: the Evolution of Table Designs
GregorySHornby.html
http___www0.arc.nasa.gov_publications_pdf_0814.pdf http://www0.arc.nasa.gov/publications/pdf/0814.pdf
http___ti.arc.nasa.gov_people_hornby_papers_abstracts.html http://ti.arc.nasa.gov/people/hornby/papers/abstracts.html
http___www.envplan.com_epb_abstracts_b31_b3015.html http://www.envplan.com/epb/abstracts/b31/b3015.html
hornby:2004:ALwks Properties of Artifact Representations for Evolutionary Design
GregorySHornby.html
http___www.cs.ucl.ac.uk_staff_S.Kumar_hornby.pdf http://www.cs.ucl.ac.uk/staff/S.Kumar/hornby.pdf
1068297 Measuring, enabling and comparing modularity, regularity and hierarchy in evolutionary design
GregorySHornby.html
http___gpbib.cs.ucl.ac.uk_gecco2005_docs_p1729.pdf http://gpbib.cs.ucl.ac.uk/gecco2005/docs/p1729.pdf
http___dx.doi.org_10.1145_1068009.1068297 http://dx.doi.org/10.1145/1068009.1068297
1144142 ALPS: the age-layered population structure for reducing the problem of premature convergence
GregorySHornby.html
http___gpbib.cs.ucl.ac.uk_gecco2006_docs_p815.pdf http://gpbib.cs.ucl.ac.uk/gecco2006/docs/p815.pdf
http___dx.doi.org_10.1145_1143997.1144142 http://dx.doi.org/10.1145/1143997.1144142
Hornby:2006:space Automated Antenna Design with Evolutionary Algorithms
GregorySHornby.html
AlGlobus.html
DerekSLinden.html
JasonLohn.html
https___ntrs.nasa.gov_api_citations_20060024675_downloads_20060024675.pdf https://ntrs.nasa.gov/api/citations/20060024675/downloads/20060024675.pdf
https___arc.aiaa.org_doi_pdf_10.2514_6.2006-7242 https://arc.aiaa.org/doi/pdf/10.2514/6.2006-7242
http___dx.doi.org_10.2514_6.2006-7242 http://dx.doi.org/10.2514/6.2006-7242
Hornby:2006:GPEM Shortcomings with using edge encodings to represent graph structures
GregorySHornby.html
http___ic.arc.nasa.gov_publications_pdf_1212.pdf http://ic.arc.nasa.gov/publications/pdf/1212.pdf
http___dx.doi.org_10.1007_s10710-006-9007-5 http://dx.doi.org/10.1007/s10710-006-9007-5
Hornby:2007:GPEM Editorial introduction to the special issue on developmental systems
GregorySHornby.html
SanjeevKumar.html
ChristianJacob.html
http___dx.doi.org_10.1007_s10710-007-9026-x http://dx.doi.org/10.1007/s10710-007-9026-x
Hornby:2007:GPTP Improving the Scalability of Generative Representations
GregorySHornby.html
http___dx.doi.org_10.1007_978-0-387-76308-8_8 http://dx.doi.org/10.1007/978-0-387-76308-8_8
Hornby:2007:cec Measuring Complexity by Measuring Structure and Organization
GregorySHornby.html
http___dx.doi.org_10.1109_CEC.2007.4424721 http://dx.doi.org/10.1109/CEC.2007.4424721
DBLP:conf/ices/HornbyKL08 Evolving MEMS Resonator Designs for Fabrication
GregorySHornby.html
WilliamFKraus.html
JasonLohn.html
http___idesign.ucsc.edu_pubs.html http://idesign.ucsc.edu/pubs.html
http___dx.doi.org_10.1007_978-3-540-85857-7_19 http://dx.doi.org/10.1007/978-3-540-85857-7_19
Hornby:2009:GPTP A Steady-State Version of the Age-Layered Population Structure EA
GregorySHornby.html
http___dx.doi.org_10.1007_978-1-4419-1626-6_6 http://dx.doi.org/10.1007/978-1-4419-1626-6_6
Hornby:2011:EC Computer-Automated Evolution of an X-Band Antenna for NASA's Space Technology 5 Mission
GregorySHornby.html
JasonLohn.html
DerekSLinden.html
http___dx.doi.org_10.1162_EVCO_a_00005 http://dx.doi.org/10.1162/EVCO_a_00005
horner-class A C++ Class Library for Genetic Programming: The Vienna University of Economics Genetic Programming Kernel
HelmutHorner.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.39.2713 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.39.2713
HOSEINGHOLI:2023:asej Pipe failure prediction of wastewater network using genetic programming: Proposing three approaches
PegahHoseingholi.html
RamtinMoeini.html
http___dx.doi.org_10.1016_j.asej.2022.101958 http://dx.doi.org/10.1016/j.asej.2022.101958
https___www.sciencedirect.com_science_article_pii_S2090447922002696 https://www.sciencedirect.com/science/article/pii/S2090447922002696
Hosic:2014:COMPSACW Evolving Decision Trees for the Categorization of Software
JasenkoHosic.html
DanielRTauritz.html
SamuelAMulder.html
http___dx.doi.org_10.1109_COMPSACW.2014.59 http://dx.doi.org/10.1109/COMPSACW.2014.59
Hosic:2015:WCICSS Evolving decision trees to detect anomalies in recurrent ICS networks
JasenkoHosic.html
JeremeLamps.html
DerekHHart.html
http___dx.doi.org_10.1109_WCICSS.2015.7420323 http://dx.doi.org/10.1109/WCICSS.2015.7420323
journals/soco/HosseiniHG14 Detecting nonlinear interrelation patterns among process variables using genetic programming
AmirHosseinHosseini.html
SajidHussain.html
HossamAGabbar.html
http___dx.doi.org_10.1007_s00500-013-1142-3 http://dx.doi.org/10.1007/s00500-013-1142-3
journals/nca/HosseiniG12 Short-term load forecasting of power systems by gene expression programming
SSSadatHosseini.html
AHGandomi.html
http___dx.doi.org_10.1007_s00521-010-0444-y http://dx.doi.org/10.1007/s00521-010-0444-y
Hosseini:2015:hbgpa Application of Genetic Programming for Electrical Engineering Predictive Modeling: A Review
SSSadatHosseini.html
AlirezaNemati.html
http___dx.doi.org_10.1007_978-3-319-20883-1_6 http://dx.doi.org/10.1007/978-3-319-20883-1_6
HOSSEINI:2019:SDEE Prediction of blast induced ground vibrations in quarry sites: a comparison of GP, RSM and MARS
SeiedAhmadHosseini.html
AmirTavana.html
SeyedMohamadAbdolahi.html
SaberDarvishmaslak.html
http___dx.doi.org_10.1016_j.soildyn.2019.01.011 http://dx.doi.org/10.1016/j.soildyn.2019.01.011
http___www.sciencedirect.com_science_article_pii_S0267726118309205 http://www.sciencedirect.com/science/article/pii/S0267726118309205
HOSSEINI:2020:IJR A general heat transfer correlation for flow condensation in single port mini and macro channels using genetic programming
SeyyedHosseinHosseini.html
MohammadAminMoradkhani.html
MohammadrezaValizadeh.html
AlirezaZendehboudi.html
MartinOlazarAurrekoetxea.html
http___dx.doi.org_10.1016_j.ijrefrig.2020.06.021 http://dx.doi.org/10.1016/j.ijrefrig.2020.06.021
http___www.sciencedirect.com_science_article_pii_S0140700720302760 http://www.sciencedirect.com/science/article/pii/S0140700720302760
HOSSEINI:2020:EB General correlation for frost thermal conductivity on parallel surface channels
SeyyedHosseinHosseini.html
MohammadrezaValizadeh.html
AlirezaZendehboudi.html
MengjieSong.html
http___dx.doi.org_10.1016_j.enbuild.2020.110282 http://dx.doi.org/10.1016/j.enbuild.2020.110282
http___www.sciencedirect.com_science_article_pii_S0378778819336163 http://www.sciencedirect.com/science/article/pii/S0378778819336163
HOSSEINI:2020:ICHMT General equation for flow condensation heat transfer coefficient in different orientations of helical coils of smooth tubes using genetic programming
SeyyedHosseinHosseini.html
MohammadAminMoradkhani.html
MirzaMShah.html
MEdalati.html
http___dx.doi.org_10.1016_j.icheatmasstransfer.2020.104916 http://dx.doi.org/10.1016/j.icheatmasstransfer.2020.104916
https___www.sciencedirect.com_science_article_pii_S0735193320304449 https://www.sciencedirect.com/science/article/pii/S0735193320304449
HOSSEINI:2021:IJR Applying genetic programming in estimation of frost layer thickness on horizontal and vertical plates at ultra-low temperature
SeyyedHosseinHosseini.html
MohammadAminMoradkhani.html
MohammadrezaValizadeh.html
GoodarzAhmadi.html
http___dx.doi.org_10.1016_j.ijrefrig.2020.12.035 http://dx.doi.org/10.1016/j.ijrefrig.2020.12.035
https___www.sciencedirect.com_science_article_pii_S0140700720305296 https://www.sciencedirect.com/science/article/pii/S0140700720305296
hosseini:2022:Processes Robust and General Model to Forecast the Heat Transfer Coefficient for Flow Condensation in Multi Port Mini/Micro-Channels
SeyyedHosseinHosseini.html
MohamedArseleneAyari.html
AmithAbdullahKhandakar.html
MohammadAminMoradkhani.html
MehdiJowkar.html
MohammadPanahi.html
GoodarzAhmadi.html
JafarTavoosi.html
https___www.mdpi.com_2227-9717_10_2_243 https://www.mdpi.com/2227-9717/10/2/243
http___dx.doi.org_10.3390_pr10020243 http://dx.doi.org/10.3390/pr10020243
HosseiniMonazzah:2017:CI Influence of interfacial adhesion on the damage tolerance of Al6061/SiCp laminated composites
AsalHosseiniMonazzah.html
HesamPouraliakbar.html
MohammadRezaJandaghi.html
RezaBagheri.html
SeyedMortezaSeyedReihani.html
http___dx.doi.org_10.1016_j.ceramint.2016.11.074 http://dx.doi.org/10.1016/j.ceramint.2016.11.074
http___www.sciencedirect.com_science_article_pii_S0272884216320831 http://www.sciencedirect.com/science/article/pii/S0272884216320831
hou_2005_iscas Economical passive filter synthesis using genetic programming based on tree representation
Hao-ShengHou.html
Shoou-JinnChang.html
Yan-KuinSu.html
http___www.ncku.edu.tw__acadserv_abroad_94q2-10a.pdf http://www.ncku.edu.tw/~acadserv/abroad/94q2-10a.pdf
http___www.epapers.org__iscas2005_ESR_paper_details.php_PHPSESSID_3b6735b25d9602780e3827e15b1ee196_paper_id_4103 http://www.epapers.org//iscas2005/ESR/paper_details.php?PHPSESSID=3b6735b25d9602780e3827e15b1ee196&paper_id=4103
hou_2005_IEICE Practical Passive Filter Synthesis Using Genetic Programming
Hao-ShengHou.html
Shoou-JinnChang.html
Yan-KuinSu.html
http___ietele.oxfordjournals.org_cgi_reprint_E88-C_6_1180 http://ietele.oxfordjournals.org/cgi/reprint/E88-C/6/1180
http___dx.doi.org_10.1093_ietele_e88-c.6.1180 http://dx.doi.org/10.1093/ietele/e88-c.6.1180
hou:thesis Constructing Static and Dynamic Investment Strategy Portfolios by Genetic Programming
Jia-LiHou.html
http___ir.lib.ncu.edu.tw_handle_987654321_13036 http://ir.lib.ncu.edu.tw/handle/987654321/13036
http___ir.lib.ncu.edu.tw_88_thesis_view_etd.asp_URN_90443001 http://ir.lib.ncu.edu.tw:88/thesis/view_etd.asp?URN=90443001
Hou:2012:RACSIE Seed Selection Genetic Programming and Its Implementation in Matlab
JinjunHou.html
http___link.springer.com_chapter_10.1007_978-3-642-25778-0_106 http://link.springer.com/chapter/10.1007/978-3-642-25778-0_106
http___dx.doi.org_10.1007_978-3-642-25778-0_106 http://dx.doi.org/10.1007/978-3-642-25778-0_106
houlette:1998:ECGPCFP Evolving Communication using Genetic Programming in the Central-Place Foraging Problem
RyanHoulette.html
Houshmand:2009:ICIS Genetic algorithm based logic optimization for multi-output majority gate-based nano-electronic circuits
MonirehHoushmand.html
SaiedHosseiniKhayat.html
RaziehRezaee.html
http___dx.doi.org_10.1109_ICICISYS.2009.5357775 http://dx.doi.org/10.1109/ICICISYS.2009.5357775
How:2010:QF Does size matter? A genetic programming approach to technical trading
JaniceHow.html
MartinLing.html
PeterVerhoeven.html
http___www.informaworld.com_smpp_title_db_all_content_g918916776 http://www.informaworld.com/smpp/title~db=all~content=g918916776
http___dx.doi.org_10.1080_14697680902773629 http://dx.doi.org/10.1080/14697680902773629
howard:1998:wGPpde Why Genetic Programming for solution of partial differential equations?
DanielHoward.html
howard:1998:tdSARiGP Target Detection in SAR Imagery by Genetic Programming
DanielHoward.html
SimonCRoberts.html
RichardBrankin.html
howard:1999:esdsSARi Evolution of Ship Detectors for Satellite SAR Imagery
DanielHoward.html
SimonCRoberts.html
RichardBrankin.html
http___dx.doi.org_10.1007_3-540-48885-5_11 http://dx.doi.org/10.1007/3-540-48885-5_11
howard:1999:EuroGEN Evolving object detectors for infrared imagery: a comparison of texture analysis against simple statistics
DanielHoward.html
SimonCRoberts.html
http___www.mit.jyu.fi_eurogen99_papers_howard.ps http://www.mit.jyu.fi/eurogen99/papers/howard.ps
howard:1999:ASGPSIA A Staged Genetic Programming Strategy for Image Analysis
DanielHoward.html
SimonCRoberts.html
http___gpbib.cs.ucl.ac.uk_gecco1999_GP-461.ps http://gpbib.cs.ucl.ac.uk/gecco1999/GP-461.ps
http___gpbib.cs.ucl.ac.uk_gecco1999_GP-461.pdf http://gpbib.cs.ucl.ac.uk/gecco1999/GP-461.pdf
Howard:1999:AES Target detection in SAR imagery by genetic programming
DanielHoward.html
SimonCRoberts.html
RichardBrankin.html
http___dx.doi.org_10.1016_S0965-9978_98_00093-3 http://dx.doi.org/10.1016/S0965-9978(98)00093-3
http___www.sciencedirect.com_science_article_B6V1P-3W1XV4H-1_1_6e7aee809f33757d0326c62a21824411 http://www.sciencedirect.com/science/article/B6V1P-3W1XV4H-1/1/6e7aee809f33757d0326c62a21824411
howard:2000:EMRRID Evolution of Mesh Refinement Rules for Impact Dynamics
DanielHoward.html
SimonCRoberts.html
http___dx.doi.org_10.1109_CEC.2000.870801 http://dx.doi.org/10.1109/CEC.2000.870801
howard:2001:gecco Genetic Programming solution of the convection-diffusion equation
DanielHoward.html
SimonCRoberts.html
http___gpbib.cs.ucl.ac.uk_gecco2001_d01.pdf http://gpbib.cs.ucl.ac.uk/gecco2001/d01.pdf
Howard11:2002:EvoWorkshops The Prediction of Journey Times on Motorways using Genetic Programming
DanielHoward.html
SimonCRoberts.html
http___dx.doi.org_10.1007_3-540-46004-7_22 http://dx.doi.org/10.1007/3-540-46004-7_22
Howard13:2002:EvoWorkshops The Boru Data Crawler for Object Detection Tasks in Machine Vision
DanielHoward.html
SimonCRoberts.html
ConorRyan.html
http___dx.doi.org_10.1007_3-540-46004-7_23 http://dx.doi.org/10.1007/3-540-46004-7_23
howard2:2002:gecco Application Of Genetic Programming To Motorway Traffic Modelling
DanielHoward.html
SimonCRoberts.html
http___gpbib.cs.ucl.ac.uk_gecco2002_RWA305.ps http://gpbib.cs.ucl.ac.uk/gecco2002/RWA305.ps
http___gpbib.cs.ucl.ac.uk_gecco2002_RWA305.pdf http://gpbib.cs.ucl.ac.uk/gecco2002/RWA305.pdf
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_gecco2002_gecco-2002-20.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/gecco2002/gecco-2002-20.pdf
howard:2002:gecco Machine Vision: Exploring Context With Genetic Programming
DanielHoward.html
SimonCRoberts.html
ConorRyan.html
http___gpbib.cs.ucl.ac.uk_gecco2002_GP303.ps http://gpbib.cs.ucl.ac.uk/gecco2002/GP303.ps
http___gpbib.cs.ucl.ac.uk_gecco2002_GP303.pdf http://gpbib.cs.ucl.ac.uk/gecco2002/GP303.pdf
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_gecco2002_gecco-2002-14.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/gecco2002/gecco-2002-14.pdf
Howard:evowks03 Promoter Prediction with a GP-Automaton
DanielHoward.html
KarlABenson.html
http___dx.doi.org_10.1007_3-540-36605-9_5 http://dx.doi.org/10.1007/3-540-36605-9_5
howard:2003:JDS Innovating with Automatic Programming
DanielHoward.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_howard_2003_JDS.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/howard_2003_JDS.pdf
howard:2003:gecco Evolutionary Computation Method for Promoter Site Prediction in DNA
DanielHoward.html
KarlABenson.html
http___dx.doi.org_10.1007_3-540-45110-2_62 http://dx.doi.org/10.1007/3-540-45110-2_62
howard:2003:GPTP Modularization by Multi-Run Frequency Driven Subtree Encapsulation
DanielHoward.html
http___www.springer.com_computer_ai_book_978-1-4020-7581-0 http://www.springer.com/computer/ai/book/978-1-4020-7581-0
http___dx.doi.org_10.1007_978-1-4419-8983-3_10 http://dx.doi.org/10.1007/978-1-4419-8983-3_10
Howard:2003:CIB Evolutionary computation method for pattern recognition of cis-acting sites
DanielHoward.html
KarlABenson.html
http___dx.doi.org_10.1016_S0303-2647_03_00132-1 http://dx.doi.org/10.1016/S0303-2647(03)00132-1
http___www.ncbi.nlm.nih.gov_PubMed_ http://www.ncbi.nlm.nih.gov/PubMed/
Howard:2004:ICKBIIESC Top Down Modelling with Genetic Programming
DanielHoward.html
http___dx.doi.org_10.1007_b100916 http://dx.doi.org/10.1007/b100916
howard:2004:GPTP Incident Detection on Highways
DanielHoward.html
SimonCRoberts.html
http___dx.doi.org_10.1007_0-387-23254-0_16 http://dx.doi.org/10.1007/0-387-23254-0_16
BDS-TR-2005-001 Solution of differential equations with Genetic Programming and the Stochastic Bernstein Interpolation
DanielHoward.html
JosephKolibal.html
http___www.genetic-programming.org_hc2005_bds.pdf http://www.genetic-programming.org/hc2005/bds.pdf
howard:2006:PRL Pragmatic Genetic Programming strategy for the problem of vehicle detection in airborne reconnaissance
DanielHoward.html
SimonCRoberts.html
ConorRyan.html
http___dx.doi.org_10.1016_j.patrec.2005.07.025 http://dx.doi.org/10.1016/j.patrec.2005.07.025
conf/rskt/Howard07 Multiple Solutions by Means of Genetic Programming: A Collision Avoidance Example
DanielHoward.html
http___dx.doi.org_10.1007_978-3-540-72458-2_63 http://dx.doi.org/10.1007/978-3-540-72458-2_63
Howard:2008:JBB Textural Classification of Mammographic Parenchymal Patterns with the SONNET Selforganizing Neural Network
DanielHoward.html
SimonCRoberts.html
ConorRyan.html
AdrianBrezulianu.html
http___dx.doi.org_10.1155_2008_526343 http://dx.doi.org/10.1155/2008/526343
Howard:2009:bliss A Method of Project Evaluation and Review Technique (PERT) Optimization by Means of Genetic Programming
DanielHoward.html
http___dx.doi.org_10.1109_BLISS.2009.12 http://dx.doi.org/10.1109/BLISS.2009.12
Howard:2011:SC Genetic programming of the stochastic interpolation framework: convection-diffusion equation
DanielHoward.html
AdrianBrezulianu.html
JosephKolibal.html
https___rdcu.be_cAMsI https://rdcu.be/cAMsI
http___link.springer.com_article_10.1007_2Fs00500-009-0520-3 http://link.springer.com/article/10.1007%2Fs00500-009-0520-3
http___dx.doi.org_10.1007_s00500-009-0520-3 http://dx.doi.org/10.1007/s00500-009-0520-3
Howard:2011a:SC Capturing expert knowledge of mesh refinement in numerical methods of impact analysis by means of genetic programming
DanielHoward.html
AdrianBrezulianu.html
https___rdcu.be_cAMtA https://rdcu.be/cAMtA
http___dx.doi.org_10.1007_s00500-010-0684-x http://dx.doi.org/10.1007/s00500-010-0684-x
Howard:2011:ICHIT Attribute Grammar Genetic Programming Algorithm for Automatic Code Parallelization
DanielHoward.html
ConorRyan.html
JohnJamesCollins.html
http___dx.doi.org_10.1007_978-3-642-24082-9_31 http://dx.doi.org/10.1007/978-3-642-24082-9_31
conf/ichit/HowardC12 Grammatical Genetic Programming: Application in Automatic Code Parallelization
DanielHoward.html
JohnJamesCollins.html
http___dx.doi.org_10.1007_978-3-642-32645-5_28 http://dx.doi.org/10.1007/978-3-642-32645-5_28
conf/ichit/HowardR12 Testing a Novel Attribute Grammar Genetic Programming Algorithm
DanielHoward.html
ConorRyan.html
http___dx.doi.org_10.1007_978-3-642-32645-5_29 http://dx.doi.org/10.1007/978-3-642-32645-5_29
Howard:2018:iCMLDE A Tunable Deceptive Problem to Challenge Genetic and Evolutionary Computation and Other A.I.
DanielHoward.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_icmlde_2018_Howard_2018_iCMLDE.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/icmlde_2018/Howard_2018_iCMLDE.pdf
https___www.researchgate.net_publication_330474606_A_Tunable_Deceptive_Problem_to_Challenge_Genetic_and_Evolutionary_Computation_and_Other_AI https://www.researchgate.net/publication/330474606_A_Tunable_Deceptive_Problem_to_Challenge_Genetic_and_Evolutionary_Computation_and_Other_AI
http___dx.doi.org_10.1109_iCMLDE.2018.00038 http://dx.doi.org/10.1109/iCMLDE.2018.00038
Howard:2018:iCMLDEb Explainable A.I.: The Promise of Genetic Programming Multi-run Subtree Encapsulation
DanielHoward.html
MarkAEdwards.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_icmlde_2018_Howard_2018_iCMLDEb.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/icmlde_2018/Howard_2018_iCMLDEb.pdf
https___www.researchgate.net_publication_330475457_Evomorph_Morphological_Modularization_in_AI_for_Machine_Vision_Inspired_by_Embryology https://www.researchgate.net/publication/330475457_Evomorph_Morphological_Modularization_in_AI_for_Machine_Vision_Inspired_by_Embryology
http___dx.doi.org_10.1109_iCMLDE.2018.00037 http://dx.doi.org/10.1109/iCMLDE.2018.00037
Howard:2018:iCMLDEc Evomorph: Morphological Modularization in A.I. for Machine Vision Inspired by Embryology
DanielHoward.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_icmlde_2018_Howard_2018_iCMLDEc.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/icmlde_2018/Howard_2018_iCMLDEc.pdf
https___www.researchgate.net_publication_330472647_Explainable_AI_The_Promise_of_Genetic_Programming_Multi-run_Subtree_Encapsulation https://www.researchgate.net/publication/330472647_Explainable_AI_The_Promise_of_Genetic_Programming_Multi-run_Subtree_Encapsulation
http___dx.doi.org_10.1109_iCMLDE.2018.00039 http://dx.doi.org/10.1109/iCMLDE.2018.00039
ITLAB-TR-2020-02 Genetic Programming visitation scheduling in lockdown with partial infection model that leverages information from COVID-19 testing
DanielHoward.html
https___www.human-competitive.org_sites_default_files_replacementhoward_0.pdf https://www.human-competitive.org/sites/default/files/replacementhoward_0.pdf
howard2020genetic Genetic Programming visitation scheduling solution can deliver a less austere COVID-19 pandemic population lockdown
DanielHoward.html
https___arxiv.org_abs_2006.10748 https://arxiv.org/abs/2006.10748
Howard:2010:GECma Towards an Alternative to Magnetic Resonance Imaging for Vocal Tract Shape Measurement Using the Principles of Evolution
DavidMHoward.html
AndrewMTyrrell.html
CrispinCooper.html
http___dx.doi.org_10.1002_9780470973134.ch11 http://dx.doi.org/10.1002/9780470973134.ch11
howard:2012:EuroGP Cartesian Genetic Programming for Memristive Logic Circuits
DavidHoward.html
LarryBull.html
AndrewAdamatzky.html
http___dx.doi.org_10.1007_978-3-642-29139-5_4 http://dx.doi.org/10.1007/978-3-642-29139-5_4
howard:1995:GA-P The GA--P: A Genetic Algorithm and Genetic Programming hybrid
LesMHoward.html
DonnaJD'Angelo.html
http___dx.doi.org_10.1109_64.393137 http://dx.doi.org/10.1109/64.393137
Howell:gecco06lbp Using RFID and a Low Cost Robot to Evolve Foraging Behavior
AbrahamLHowell.html
RoyTRMcGrann.html
RichardREckert.html
HirokiSayama.html
EileenWay.html
http___gpbib.cs.ucl.ac.uk_gecco2006etc_papers_lbp131.pdf http://gpbib.cs.ucl.ac.uk/gecco2006etc/papers/lbp131.pdf
Howlett:2010:AISB Evolving Pixel Shaders for the Prototype Video Game Subversion
AndrewHowlett.html
SimonColton.html
CameronBrowne.html
http___www.doc.ic.ac.uk__sgc_papers_howlett_aisb10.pdf http://www.doc.ic.ac.uk/~sgc/papers/howlett_aisb10.pdf
howley:1996:GPsam Genetic Programming of Near-Minimum-Time Spacecraft Attitude Maneuvers
BrianHowley.html
http___cognet.mit.edu_sites_default_files_books_9780262315876_pdfs_9780262315876_chap12.pdf http://cognet.mit.edu/sites/default/files/books/9780262315876/pdfs/9780262315876_chap12.pdf
http___cognet.mit.edu_library_books_view_isbn_0262611279 http://cognet.mit.edu/library/books/view?isbn=0262611279
howley:1996:samAIAA Genetic Programming of Spacecraft Attitude Maneuvers Under Reaction Wheel Control
BrianHowley.html
http___dx.doi.org_10.2514_6.1996-3849 http://dx.doi.org/10.2514/6.1996-3849
Howley:1997:GPps Genetic Programming and Parametric Sensitivity: a Case Study In Dynamic Control of a Two Link Manipulator
BrianHowley.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.40.9214 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.40.9214
howley:1995:GPNMTSAM Genetic Programming of Near Minimum Time Spacecraft Attitude Maneuvers
BrianHowley.html
DBLP:journals/air/HowleyM05 The Genetic Kernel Support Vector Machine: Description and Evaluation
TomHowley.html
MichaelGMadden.html
http___dx.doi.org_10.1007_s10462-005-9009-3 http://dx.doi.org/10.1007/s10462-005-9009-3
Hrbacek:2013:ECAL Coevolutionary Cartesian Genetic Programming in FPGA
RadekHrbacek.html
MichaelaSikulova.html
http___dx.doi.org_10.7551_978-0-262-31709-2-ch062 http://dx.doi.org/10.7551/978-0-262-31709-2-ch062
Hrbacek:2014:GECCO Towards highly optimized cartesian genetic programming: from sequential via SIMD and thread to massive parallel implementation
RadekHrbacek.html
LukasSekanina.html
https___www.fit.vut.cz_research_publication_10512 https://www.fit.vut.cz/research/publication/10512
https___www.fit.vut.cz_research_publication-file_10512_p1015-hrbacek.pdf https://www.fit.vut.cz/research/publication-file/10512/p1015-hrbacek.pdf
http___doi.acm.org_10.1145_2576768.2598343 http://doi.acm.org/10.1145/2576768.2598343
http___dx.doi.org_10.1145_2576768.2598343 http://dx.doi.org/10.1145/2576768.2598343
Hrbacek:2014:PPSN Bent Function Synthesis by Means of Cartesian Genetic Programming
RadekHrbacek.html
VaclavDvorak.html
http___dx.doi.org_10.1007_978-3-319-10762-2_41 http://dx.doi.org/10.1007/978-3-319-10762-2_41
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RadekHrbacek.html
https___dblp.org_rec_conf_memics_Hrbacek14.bib https://dblp.org/rec/conf/memics/Hrbacek14.bib
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http___dx.doi.org_10.1007_978-3-319-14896-0_8 http://dx.doi.org/10.1007/978-3-319-14896-0_8
Hrbacek:2015:GECCO Parallel Multi-Objective Evolutionary Design of Approximate Circuits
RadekHrbacek.html
http___doi.acm.org_10.1145_2739480.2754785 http://doi.acm.org/10.1145/2739480.2754785
http___dx.doi.org_10.1145_2739480.2754785 http://dx.doi.org/10.1145/2739480.2754785
Hrbacek:2016:DTIS Automatic design of approximate circuits by means of multi-objective evolutionary algorithms
RadekHrbacek.html
VojtechMrazek.html
ZdenekVasicek.html
http___dx.doi.org_10.1109_DTIS.2016.7483885 http://dx.doi.org/10.1109/DTIS.2016.7483885
Hrbacek:thesis Automated Multi-Objective Parallel Evolutionary Circuit Design and Approximation
RadekHrbacek.html
https___theses.cz_id_vj3yes_781.pdf https://theses.cz/id/vj3yes/781.pdf
hrbek:2020:SEPIS Searching the Hyper-heuristic for the Traveling Salesman Problem with Time Windows by Genetic Programming
VaclavHrbek.html
JanMerta.html
http___link.springer.com_chapter_10.1007_978-3-030-63322-6_81 http://link.springer.com/chapter/10.1007/978-3-030-63322-6_81
http___dx.doi.org_10.1007_978-3-030-63322-6_81 http://dx.doi.org/10.1007/978-3-030-63322-6_81
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BahrudinHrnjica.html
AliDanandehMehr.html
https___www.igi-global.com_book_optimized-genetic-programming-applications_195404 https://www.igi-global.com/book/optimized-genetic-programming-applications/195404
http___dx.doi.org_10.4018_978-1-5225-6005-0 http://dx.doi.org/10.4018/978-1-5225-6005-0
Hrytsyshyn:2007:CADSM Genetic Programming For Solving Cutting Problem
YaremaHrytsyshyn.html
RostyslavKryvyy.html
SergiyTkatchenko.html
http___dx.doi.org_10.1109_CADSM.2007.4297550 http://dx.doi.org/10.1109/CADSM.2007.4297550
Hsu:2011:ESA A hybrid procedure for stock price prediction by integrating self-organizing map and genetic programming
Chih-MingHsu.html
http___dx.doi.org_10.1016_j.eswa.2011.04.210 http://dx.doi.org/10.1016/j.eswa.2011.04.210
http___www.sciencedirect.com_science_article_B6V03-52T13T7-7_2_c2626c201c0da6cbc20628185936eaf3 http://www.sciencedirect.com/science/article/B6V03-52T13T7-7/2/c2626c201c0da6cbc20628185936eaf3
journals/ijsysc/Hsu12 Applying genetic programming and ant colony optimisation to improve the geometric design of a reflector
Chih-MingHsu.html
http___dx.doi.org_10.1080_00207721.2010.547627 http://dx.doi.org/10.1080/00207721.2010.547627
Hsu20122933 Improving the lighting performance of a 3535 packaged hi-power LED using genetic programming, quality loss functions and particle swarm optimization
Chih-MingHsu.html
http___dx.doi.org_10.1016_j.asoc.2012.04.023 http://dx.doi.org/10.1016/j.asoc.2012.04.023
http___www.sciencedirect.com_science_article_pii_S1568494612002165 http://www.sciencedirect.com/science/article/pii/S1568494612002165
journals/ijsysc/Hsu14 An integrated portfolio optimisation procedure based on data envelopment analysis, artificial bee colony algorithm and genetic programming
Chih-MingHsu.html
http___dx.doi.org_10.1080_00207721.2013.775388 http://dx.doi.org/10.1080/00207721.2013.775388
Hsu:2015:IMECS Forecasting the Prices of TAIEX Options by Using Genetic Programming and Support Vector Regression
Chih-MingHsu.html
Ying-ChiFu.html
Yu-ChunLiu.html
Chun-YiPeng.html
http___www.iaeng.org_publication_IMECS2015_IMECS2015_pp57-62.pdf http://www.iaeng.org/publication/IMECS2015/IMECS2015_pp57-62.pdf
conf/icnc/HsuCKWC09 Estimating Strength of Concrete Using a Grammatical Evolution
Hsun-HsinHsu.html
LiChen.html
Chang-HuanKou.html
Tai-ShengWang.html
Sing-HanChen.html
http___dx.doi.org_10.1109_ICNC.2009.492 http://dx.doi.org/10.1109/ICNC.2009.492
hsu:2001:waptmaoGP Wrappers for Automatic Parameter Tuning in Multi-Agent Optimization by Genetic Programming
WilliamHHsu.html
StevenMGustafson.html
hsu:2001:gpllmt Genetic Programming for Layered Learning of Multi-Agent Tasks
WilliamHHsu.html
StevenMGustafson.html
http___www.cs.nott.ac.uk__smg_research_publications_gecco-2001.ps http://www.cs.nott.ac.uk/~smg/research/publications/gecco-2001.ps
http___www.cs.nott.ac.uk__smg_research_publications_gecco-2001.pdf http://www.cs.nott.ac.uk/~smg/research/publications/gecco-2001.pdf
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WilliamHHsu.html
StevenMGustafson.html
http___www.cs.nott.ac.uk__smg_research_publications_gecco-llgp-2002.pdf http://www.cs.nott.ac.uk/~smg/research/publications/gecco-llgp-2002.pdf
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http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_gecco2002_gecco-2002-14.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/gecco2002/gecco-2002-14.pdf
hsu:2004:lbp Empirical Comparison of Incremental Reuse Strategies in Genetic Programming for Keep-Away Soccer
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ScottJHarmon.html
EdwinRodriguez.html
ChristopherZhong.html
http___gpbib.cs.ucl.ac.uk_gecco2004_LBP010.pdf http://gpbib.cs.ucl.ac.uk/gecco2004/LBP010.pdf
hu:2016:NH Rainstorm flash flood risk assessment using genetic programming: a case study of risk zoning in Beijing
HaiBoHu.html
http___link.springer.com_article_10.1007_s11069-016-2325-x http://link.springer.com/article/10.1007/s11069-016-2325-x
http___dx.doi.org_10.1007_s11069-016-2325-x http://dx.doi.org/10.1007/s11069-016-2325-x
hu:2002:thfcmfpea The Hierarchical Fair Competition (HFC) Model for Parallel Evolutionary Algorithms
JianjunHu.html
ErikGoodman.html
http___garage.cse.msu.edu_papers_GARAGe02-05-01.pdf http://garage.cse.msu.edu/papers/GARAGe02-05-01.pdf
http___dx.doi.org_10.1109_CEC.2002.1006208 http://dx.doi.org/10.1109/CEC.2002.1006208
hu2:2002:gecco Structure Fitness Sharing (SFS) For Evolutionary Design By Genetic Programming
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KisungSeo.html
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ErikGoodman.html
http___gpbib.cs.ucl.ac.uk_gecco2002_GP195.pdf http://gpbib.cs.ucl.ac.uk/gecco2002/GP195.pdf
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_gecco2002_gecco-2002-14.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/gecco2002/gecco-2002-14.pdf
hu:2002:gecco Adaptive Hierarchical Fair Competition (AHFC) Model For Parallel Evolutionary Algorithms
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ErikGoodman.html
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MinPei.html
http___gpbib.cs.ucl.ac.uk_gecco2002_GP186.pdf http://gpbib.cs.ucl.ac.uk/gecco2002/GP186.pdf
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_gecco2002_gecco-2002-14.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/gecco2002/gecco-2002-14.pdf
Jianjun-Hu:2003:AAAI HFC: A Continuing EA Framework for Scalable Evolutionary Synthesis
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ErikGoodman.html
KisungSeo.html
ZhunFan.html
RonaldCRosenberg.html
http___www-rcf.usc.edu__jianjunh_paper_stanford_hfc.pdf http://www-rcf.usc.edu/~jianjunh/paper/stanford_hfc.pdf
Jianjun-Hu:2003:GPTP Continuous Hierarchical Fair Competition Model for Sustainable Innovation in Genetic Programming
JianjunHu.html
ErikGoodman.html
KisungSeo.html
http___www.springer.com_computer_ai_book_978-1-4020-7581-0 http://www.springer.com/computer/ai/book/978-1-4020-7581-0
http___dx.doi.org_10.1007_978-1-4419-8983-3_6 http://dx.doi.org/10.1007/978-1-4419-8983-3_6
hu:2004:GPTP Topological Synthesis of Robust Dynamic Systems by Sustainable Genetic Programming
JianjunHu.html
ErikGoodman.html
http___dx.doi.org_10.1007_0-387-23254-0_9 http://dx.doi.org/10.1007/0-387-23254-0_9
hu:2004:wapcbgp Wireless Access Point Configuration by Genetic Programming
JianjunHu.html
ErikGoodman.html
http___www-rcf.usc.edu__jianjunh_paper_cec2004_wireless.pdf http://www-rcf.usc.edu/~jianjunh/paper/cec2004_wireless.pdf
http___dx.doi.org_10.1109_CEC.2004.1330995 http://dx.doi.org/10.1109/CEC.2004.1330995
jianjunHu:2004:ACC Topological search in automated mechatronic system synthesis using bond graphs and genetic programming
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ErikGoodman.html
RonaldCRosenberg.html
http___ieeexplore.ieee.org_stamp_stamp.jsp_tp__arnumber_1384751 http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=1384751
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JianjunHu.html
http___www-rcf.usc.edu__jianjunh_paper_Hu_thesis_print.pdf http://www-rcf.usc.edu/~jianjunh/paper/Hu_thesis_print.pdf
hu:2005:GPTP Domain Specificity of Genetic Programming based Automated Synthesis: a Case Study with Synthesis of Mechanical Vibration Absorbers
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RonaldCRosenberg.html
ErikGoodman.html
http___dx.doi.org_10.1007_0-387-28111-8_18 http://dx.doi.org/10.1007/0-387-28111-8_18
hu:2005:EC The Hierarchical Fair Competition Framework for Sustainable Evolutionary Algorithms
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ErikGoodman.html
KisungSeo.html
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RondalRosenberg.html
http___dx.doi.org_10.1162_1063656054088530 http://dx.doi.org/10.1162/1063656054088530
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XiweiZhong.html
ErikGoodman.html
http___gpbib.cs.ucl.ac.uk_gecco2005_docs_p1619.pdf http://gpbib.cs.ucl.ac.uk/gecco2005/docs/p1619.pdf
http___dx.doi.org_10.1145_1068009.1068283 http://dx.doi.org/10.1145/1068009.1068283
hu:2007:ECdue Evolutionary Robust Design of Analog Filters Using Genetic Programming
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ShaoboLi.html
ErikGoodman.html
http___dx.doi.org_10.1007_978-3-540-49774-5_21 http://dx.doi.org/10.1007/978-3-540-49774-5_21
hu:2008:AIEDAM Automated Synthesis of Mechanical Vibration Absorbers Using Genetic Programming
JianjunHu.html
ErikGoodman.html
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RonaldCRosenberg.html
http___journals.cambridge.org_action_displayAbstract_jsessionid_7665C0F109E52E12771D5DFCBD27C245.tomcat1_fromPage_online_aid_1903160 http://journals.cambridge.org/action/displayAbstract;jsessionid=7665C0F109E52E12771D5DFCBD27C245.tomcat1?fromPage=online&aid=1903160
http___dx.doi.org_10.1017_S0890060408000140 http://dx.doi.org/10.1017/S0890060408000140
hu:2008:DbE GPBG: A Framework for Evolutionary Design of Multi-domain Engineering Systems Using Genetic Programming and Bond Graphs
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http___dx.doi.org_10.1007_978-3-540-74111-4_18 http://dx.doi.org/10.1007/978-3-540-74111-4_18
Hu:2010:ICCET Fingerprint classification based on genetic programming
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MeiXie.html
http___dx.doi.org_10.1109_ICCET.2010.5486315 http://dx.doi.org/10.1109/ICCET.2010.5486315
Hu:2015:CCDC Application of an information fusion method to compound fault diagnosis of rotating machinery
QinHu.html
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QinghuaZhang.html
GuoxiSun.html
LongqiuShao.html
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JunfeiHu.html
WenxuanGuo.html
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http___dx.doi.org_10.1016_j.cor.2020.105003 http://dx.doi.org/10.1016/j.cor.2020.105003
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NanHu.html
JinghuiZhong.html
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http___eprints.mdx.ac.uk_23685_ http://eprints.mdx.ac.uk/23685/
http___www.sciencedirect.com_science_article_pii_S1568494618300437 http://www.sciencedirect.com/science/article/pii/S1568494618300437
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MUN-CS-2008-04 Evolvability and Acceleration in Evolutionary Computation
TingHu.html
WolfgangBanzhaf.html
http___www.mun.ca_computerscience_research_MUN-CS-2008-04.pdf http://www.mun.ca/computerscience/research/MUN-CS-2008-04.pdf
Hu:2008:gecco Measuring rate of evolution in genetic programming using amino acid to synonymous substitution ratio ka/ks
TingHu.html
WolfgangBanzhaf.html
http___gpbib.cs.ucl.ac.uk_gecco2008_docs_p1337.pdf http://gpbib.cs.ucl.ac.uk/gecco2008/docs/p1337.pdf
http___dx.doi.org_10.1145_1389095.1389352 http://dx.doi.org/10.1145/1389095.1389352
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WolfgangBanzhaf.html
http___dx.doi.org_10.1007_978-3-540-87700-4_45 http://dx.doi.org/10.1007/978-3-540-87700-4_45
Hu:2009:eurogp The Role of Population Size in Rate of Evolution in Genetic Programming
TingHu.html
WolfgangBanzhaf.html
http___dx.doi.org_10.1007_978-3-642-01181-8_8 http://dx.doi.org/10.1007/978-3-642-01181-8_8
DBLP:conf/gecco/HuB09 Neutrality and variability: two sides of evolvability in linear genetic programming
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WolfgangBanzhaf.html
http___dx.doi.org_10.1145_1569901.1570033 http://dx.doi.org/10.1145/1569901.1570033
hu:2010:jaea Evolvability and Speed of Evolutionary Algorithms in Light of Recent Developments in Biology
TingHu.html
WolfgangBanzhaf.html
https___www.hindawi.com_journals_jaea_2010_568375_ https://www.hindawi.com/journals/jaea/2010/568375/
http___dx.doi.org_10.1155_2010_568375 http://dx.doi.org/10.1155/2010/568375
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TingHu.html
http___www.mun.ca_computerscience_graduate_thesis_TingHU.pdf http://www.mun.ca/computerscience/graduate/thesis_TingHU.pdf
hu:2010:GPEM Variable population size and evolution acceleration: a case study with a parallel evolutionary algorithm
TingHu.html
SimonHarding.html
WolfgangBanzhaf.html
http___dx.doi.org_10.1007_s10710-010-9105-2 http://dx.doi.org/10.1007/s10710-010-9105-2
hu:2011:EuroGP Robustness, Evolvability, and Accessibility in Linear Genetic Programming
TingHu.html
JoshuaLPayne.html
JasonHMoore.html
WolfgangBanzhaf.html
http___dx.doi.org_10.1007_978-3-642-20407-4_2 http://dx.doi.org/10.1007/978-3-642-20407-4_2
Hu:2012:GPEM Evolutionary dynamics on multiple scales: a quantitative analysis of the interplay between genotype, phenotype, and fitness in linear genetic programming
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JoshuaLPayne.html
WolfgangBanzhaf.html
JasonHMoore.html
http___dx.doi.org_10.1007_s10710-012-9159-4 http://dx.doi.org/10.1007/s10710-012-9159-4
hu:2013:EuroGP Robustness and Evolvability of Recombination in Linear Genetic Programming
TingHu.html
WolfgangBanzhaf.html
JasonHMoore.html
http___dx.doi.org_10.1007_978-3-642-37207-0_9 http://dx.doi.org/10.1007/978-3-642-37207-0_9
Hu:2014:PPSN Population Exploration on Genotype Networks in Genetic Programming
TingHu.html
WolfgangBanzhaf.html
JasonHMoore.html
http___dx.doi.org_10.1007_978-3-319-10762-2_42 http://dx.doi.org/10.1007/978-3-319-10762-2_42
Hu:2014:Alife The effects of recombination on phenotypic exploration and robustness in evolution
TingHu.html
WolfgangBanzhaf.html
JasonHMoore.html
http___web.cs.mun.ca__banzhaf_papers_ALIFE2014.pdf http://web.cs.mun.ca/~banzhaf/papers/ALIFE2014.pdf
http___dx.doi.org_10.1162_ARTL_a_00145 http://dx.doi.org/10.1162/ARTL_a_00145
Hu:2016:GPTP Neutrality, Robustness, and Evolvability in Genetic Programming
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WolfgangBanzhaf.html
http___www.cs.mun.ca__banzhaf_papers_GPTP_2016_Hu_2017.pdf http://www.cs.mun.ca/~banzhaf/papers/GPTP_2016_Hu_2017.pdf
https___www.springer.com_us_book_9783319970875 https://www.springer.com/us/book/9783319970875
http___dx.doi.org_10.1007_978-3-319-97088-2_7 http://dx.doi.org/10.1007/978-3-319-97088-2_7
Hu:2016:GECCO Quantitative Analysis of Evolvability using Vertex Centralities in Phenotype Network
TingHu.html
WolfgangBanzhaf.html
http___dx.doi.org_10.1145_2908812.2908940 http://dx.doi.org/10.1145/2908812.2908940
Hu:2018:EuroGP Analyzing Feature Importance for Metabolomics using Genetic Programming
TingHu.html
KaroliinaOksanen.html
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EdwardRandell.html
AndrewFurey.html
GuangjuZhai.html
http___dx.doi.org_10.1007_978-3-319-77553-1_5 http://dx.doi.org/10.1007/978-3-319-77553-1_5
Hu:2019:EuroGP Complex Network Analysis of a Genetic Programming Phenotype Network
TingHu.html
MarcoTomassini.html
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https___www.springer.com_us_book_9783030166694 https://www.springer.com/us/book/9783030166694
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Hu:2019:GPTP Can Genetic Programming Perform Explainable Machine Learning for Bioinformatics?
TingHu.html
http___dx.doi.org_10.1007_978-3-030-39958-0_4 http://dx.doi.org/10.1007/978-3-030-39958-0_4
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LukasSekanina.html
https___evolution.sigevo.org_issues_SIGEVOlution1202.pdf https://evolution.sigevo.org/issues/SIGEVOlution1202.pdf
http___dx.doi.org_10.1145_3357514.3357515 http://dx.doi.org/10.1145/3357514.3357515
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TingHu.html
MarcoTomassini.html
WolfgangBanzhaf.html
https___rdcu.be_cGPa2 https://rdcu.be/cGPa2
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editorial:GPEM:H2019 Special issue on highlights of genetic programming 2019 events
TingHu.html
MiguelNicolau.html
LukasSekanina.html
http___dx.doi.org_10.1007_s10710-020-09385-2 http://dx.doi.org/10.1007/s10710-020-09385-2
Hu:2020:GP EuroGP 2020: Proceedings of the 23rd European Conference on Genetic Programming
TingHu.html
NunoLourenco.html
EricMedvet.html
http___dx.doi.org_10.1007_978-3-030-44094-7 http://dx.doi.org/10.1007/978-3-030-44094-7
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https___www.springer.com_gp_book_9783030728113 https://www.springer.com/gp/book/9783030728113
http___dx.doi.org_10.1007_978-3-030-72812-0 http://dx.doi.org/10.1007/978-3-030-72812-0
Hu:2022:GPTP Genetic Programming for Interpretable and Explainable Machine Learning
TingHu.html
http___dx.doi.org_10.1007_978-981-19-8460-0_4 http://dx.doi.org/10.1007/978-981-19-8460-0_4
hu:2022:pstnLGP Phenotype Search Trajectory Networks for Linear Genetic Programming
TingHu.html
GabrielaOchoa.html
WolfgangBanzhaf.html
https___arxiv.org_abs_2211.08516 https://arxiv.org/abs/2211.08516
http___dx.doi.org_10.48550_ARXIV.2211.08516 http://dx.doi.org/10.48550/ARXIV.2211.08516
Hu:2023:EuroGP Phenotype Search Trajectory Networks for Linear Genetic Programming
TingHu.html
GabrielaOchoa.html
WolfgangBanzhaf.html
https___rdcu.be_c8UPb https://rdcu.be/c8UPb
http___dx.doi.org_10.1007_978-3-031-29573-7_4 http://dx.doi.org/10.1007/978-3-031-29573-7_4
Hu:2023:GPTP Genetic Programming Theory and Practice XX
StephanMWinkler.html
LeonardoTrujillo.html
CharlesOfria.html
TingHu.html
https___link.springer.com_book_9789819984121 https://link.springer.com/book/9789819984121
http___dx.doi.org_10.1007_978-981-99-8413-8 http://dx.doi.org/10.1007/978-981-99-8413-8
DBLP:journals/digearth/HuDSFNNZ20 Data-driven approach to learning salience models of indoor landmarks by using genetic programming
XukeHu.html
LeiDing.html
JiangaShang.html
HongchaoFan.html
TessioNovack.html
AlexeyNoskov.html
AlexanderZipf.html
https___doi.org_10.1080_17538947.2019.1701109 https://doi.org/10.1080/17538947.2019.1701109
http___dx.doi.org_10.1080_17538947.2019.1701109 http://dx.doi.org/10.1080/17538947.2019.1701109
https___dblp.org_rec_journals_digearth_HuDSFNNZ20.bib https://dblp.org/rec/journals/digearth/HuDSFNNZ20.bib
HU:2020:CC A practical design of hash functions for IPv6 using multi-objective genetic programming
YingHu.html
GuangCheng.html
YongningTang.html
FengWang3.html
http___dx.doi.org_10.1016_j.comcom.2020.08.013 http://dx.doi.org/10.1016/j.comcom.2020.08.013
http___www.sciencedirect.com_science_article_pii_S0140366420318983 http://www.sciencedirect.com/science/article/pii/S0140366420318983
Hu:2006:GeoCLEF The University of New South Wales at GeoCLEF 2006
You-HengHu.html
LinlinGe.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.521.389 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.521.389
http___clef.isti.cnr.it_2006_working_notes_workingnotes2006_HuCLEF2006.pdf http://clef.isti.cnr.it/2006/working_notes/workingnotes2006/HuCLEF2006.pdf
http___dx.doi.org_10.1007_978-3-540-74999-8_115 http://dx.doi.org/10.1007/978-3-540-74999-8_115
hu:1998:GPci A Genetic Programming Approach to Constructive Induction
Yuh-JyhHu.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_gp1998_hu_1998_GPci.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/gp1998/hu_1998_GPci.pdf
hu:1998:bdGP Biopattern Discovery by Genetic Programming
Yuh-JyhHu.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_gp1998_hu_1998_bdGP.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/gp1998/hu_1998_bdGP.pdf
Hu:2000:GECCO Global Gene Expression Analysis with Genetic Programming
Yuh-JyhHu.html
http___gpbib.cs.ucl.ac.uk_gecco2000_RW010.pdf http://gpbib.cs.ucl.ac.uk/gecco2000/RW010.pdf
http___gpbib.cs.ucl.ac.uk_gecco2000_RW010.ps http://gpbib.cs.ucl.ac.uk/gecco2000/RW010.ps
Yuh-JyhHu:2002:NAR Prediction of consensus structural motifs in a family of coregulated RNA sequences
Yuh-JyhHu.html
http___www.pubmedcentral.nih.gov_articlerender.fcgi_artid_137409.pdf http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=137409.pdf
http___www.pubmedcentral.nih.gov_articlerender.fcgi_artid_137409 http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=137409
http___dx.doi.org_10.1093_nar_gkg521 http://dx.doi.org/10.1093/nar/gkg521
Yuh-JyhHu:2003:NAR GPRM: a genetic programming approach to finding common RNA secondary structure elements
Yuh-JyhHu.html
http___www.pubmedcentral.nih.gov_articlerender.fcgi_artid_168928.pdf http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=168928.pdf
http___www.pubmedcentral.nih.gov_articlerender.fcgi_artid_168928 http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=168928
http___dx.doi.org_10.1093_nar_gkg521 http://dx.doi.org/10.1093/nar/gkg521
http___hdl.handle.net_11536_27741 http://hdl.handle.net/11536/27741
HU:2023:powtec Development of drag force model for predicting the flow behavior of porous media based on genetic programming
MingjianHu.html
YinWang.html
YeweiLi.html
ZiyiPang.html
YubinRen.html
http___dx.doi.org_10.1016_j.powtec.2022.118041 http://dx.doi.org/10.1016/j.powtec.2022.118041
https___www.sciencedirect.com_science_article_pii_S0032591022009226 https://www.sciencedirect.com/science/article/pii/S0032591022009226
Hu:2023:ICACI Hyper-Heuristic Algorithm for Urban Traffic Flow Optimization
Xiao-MinHu.html
Yu-HuiDuan.html
MinLi.html
YingZeng.html
http___dx.doi.org_10.1109_ICACI58115.2023.10146154 http://dx.doi.org/10.1109/ICACI58115.2023.10146154
Huang:2007:ESA Credit scoring with a data mining approach based on support vector machines
Cheng-LungHuang.html
Mu-ChenChen.html
Chieh-Jen_Steve_Wang.html
http___nlg.csie.ntu.edu.tw__cjwang_paper_Credit_20Card_20Scoring_20with_20a_20Data_20Mining_20Approach_20Based_20on_20Support_20Vector_20Machine.pdf http://nlg.csie.ntu.edu.tw/~cjwang/paper/Credit%20Card%20Scoring%20with%20a%20Data%20Mining%20Approach%20Based%20on%20Support%20Vector%20Machine.pdf
http___dx.doi.org_10.1016_j.eswa.2006.07.007 http://dx.doi.org/10.1016/j.eswa.2006.07.007
Huang:IMECS:fir FIR Equalizer using Genetic Programming
Ching-YaHuang.html
Shih-YenTsai.html
Te-JenSu.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.149.3713 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.149.3713
http___www.iaeng.org_publication_IMECS2008_IMECS2008_pp1440-1443.pdf http://www.iaeng.org/publication/IMECS2008/IMECS2008_pp1440-1443.pdf
Huang:2017:SICE Emergence of collective escaping strategies of empathie caribou agents with swarming behavior implemented in wolf-caribou predator-prey problem
FangWeiHuang.html
IvanTTanev.html
KatsunoriShimohara.html
http___dx.doi.org_10.23919_SICE.2017.8105643 http://dx.doi.org/10.23919/SICE.2017.8105643
HUANG:2021:MM Design of parallel computing system for embedded network distributed load tasks
HeqingHuang.html
XiaohuiXu.html
ChunlingTang.html
http___dx.doi.org_10.1016_j.micpro.2021.104017 http://dx.doi.org/10.1016/j.micpro.2021.104017
https___www.sciencedirect.com_science_article_pii_S0141933121001903 https://www.sciencedirect.com/science/article/pii/S0141933121001903
Huang:2009:WISM A Novel Multiclass Classification Method with Gene Expression Programming
JiangtaoHuang.html
ChuangDeng.html
http___dx.doi.org_10.1109_WISM.2009.36 http://dx.doi.org/10.1109/WISM.2009.36
Huang:Tgp:06 Two-stage genetic programming (2SGP) for the credit scoring model
Jih-JengHuang.html
Gwo-HshiungTzeng.html
Chorng-ShyongOng.html
http___www.scorto.ru_downloads_Two-stage_20genetic_20programming_20_2SGP__20for_20the_20credit_20scoring_20model.pdf http://www.scorto.ru/downloads/Two-stage%20genetic%20programming%20(2SGP)%20for%20the%20credit%20scoring%20model.pdf
http___dx.doi.org_10.1016_j.amc.2005.05.027 http://dx.doi.org/10.1016/j.amc.2005.05.027
Huang:2015:ieeeBigData Two Steps Genetic Programming for Big Data - Perspective of Distributed and High-Dimensional Data
Jih-JengHuang.html
http___dx.doi.org_10.1109_BigDataCongress.2015.125 http://dx.doi.org/10.1109/BigDataCongress.2015.125
Huang:2015:CEC Evolutionary Development of Electronic Stability Program for a Simulated Car in TORCS Environment
JilinHuang.html
IvanTTanev.html
KatsunoriShimohara.html
http___dx.doi.org_10.1109_CEC.2015.7257062 http://dx.doi.org/10.1109/CEC.2015.7257062
Huang:2015:CIG Evolving a General Electronic Stability Program for Car Simulated in TORCS
JilinHuang.html
IvanTTanev.html
KatsunoriShimohara.html
http___dx.doi.org_10.1109_CIG.2015.7317955 http://dx.doi.org/10.1109/CIG.2015.7317955
Huang:2019:CEC Enhancing k-Nearest Neighbors through Learning Transformation Functions by Genetic Programming
Kuan-ChunHuang.html
Yu-WeiWen.html
Chuan-KangTing.html
http___dx.doi.org_10.1109_CEC.2019.8790163 http://dx.doi.org/10.1109/CEC.2019.8790163
Huang:2018:IEEEAccess Automatic Modulation Classification of Overlapped Sources Using Multi-Gene Genetic Programming With Structural Risk Minimization Principle
SaiHuang.html
YizhouJiang.html
XiaoqiQin.html
YueGao.html
ZhiyongFeng.html
PingZhang.html
http___dx.doi.org_10.1109_ACCESS.2018.2868224 http://dx.doi.org/10.1109/ACCESS.2018.2868224
huang:2022:ANCFSKD An Efficient MRI Impulse Noise Multi-stage Hybrid Filter Based on Cartesian Genetic Programming
WeiHongHuang.html
PeiHe.html
ZhengHengYan.html
HaoYuWu.html
http___link.springer.com_chapter_10.1007_978-3-030-89698-0_11 http://link.springer.com/chapter/10.1007/978-3-030-89698-0_11
http___dx.doi.org_10.1007_978-3-030-89698-0_11 http://dx.doi.org/10.1007/978-3-030-89698-0_11
bias_code_review_FSE20 Biases and Differences in Code Review using Medical Imaging and Eye-Tracking: Genders, Humans, and Machines
YuHuang.html
KevinLeach.html
ZohrehSharafi.html
NicholasMcKay.html
TylerSantander.html
WestleyWeimer.html
https___2020.esec-fse.org_details_fse-2020-papers_114_Biases-and-Differences-in-Code-Review-using-Medical-Imaging-and-Eye-Tracking-Genders https://2020.esec-fse.org/details/fse-2020-papers/114/Biases-and-Differences-in-Code-Review-using-Medical-Imaging-and-Eye-Tracking-Genders
http___www-personal.umich.edu__yhhy_index_files_bias_code_review_FSE20.pdf http://www-personal.umich.edu/~yhhy/index_files/bias_code_review_FSE20.pdf
https___doi.org_10.1145_3368089.3409681 https://doi.org/10.1145/3368089.3409681
http___dx.doi.org_10.1145_3368089.3409681 http://dx.doi.org/10.1145/3368089.3409681
https___youtu.be_Z_fKVMkd2Dk https://youtu.be/Z_fKVMkd2Dk
Huang:2021:GI Applying Automated Program Repair to Dataflow Programming Languages
YuHuang.html
HammadAhmad.html
StephanieForrest.html
WestleyWeimer.html
https___www.youtube.com_watch_v_-GHGgOtWp7o_list_PLI8fiFpB7BoKDaxvS7SQp0iA7fN7rrvDD_index_17 https://www.youtube.com/watch?v=-GHGgOtWp7o&list=PLI8fiFpB7BoKDaxvS7SQp0iA7fN7rrvDD&index=17
https___www.youtube.com_watch_v_EEhK3SAvGws_list_PLI8fiFpB7BoKDaxvS7SQp0iA7fN7rrvDD_index_18 https://www.youtube.com/watch?v=EEhK3SAvGws&list=PLI8fiFpB7BoKDaxvS7SQp0iA7fN7rrvDD&index=18
https___www.youtube.com_watch_v_3a7nqROKlZI_list_PLXTjhGKkSnI-se7uQneCX-pEDiDrQ7TIS_index_1 https://www.youtube.com/watch?v=3a7nqROKlZI&list=PLXTjhGKkSnI-se7uQneCX-pEDiDrQ7TIS&index=1
http___dx.doi.org_10.1109_GI52543.2021.00013 http://dx.doi.org/10.1109/GI52543.2021.00013
HUANG:2018:IJHE Robust model for optimization of forming process for metallic bipolar plates of cleaner energy production system
YuhaoHuang.html
AkhilGarg.html
SaeedAsghari.html
XiongbinPeng.html
MyLoanPhungLe.html
http___dx.doi.org_10.1016_j.ijhydene.2017.11.043 http://dx.doi.org/10.1016/j.ijhydene.2017.11.043
http___www.sciencedirect.com_science_article_pii_S0360319917343604 http://www.sciencedirect.com/science/article/pii/S0360319917343604
HUANG:2018:Measurement An application of evolutionary system identification algorithm in modelling of energy production system
YuhaoHuang.html
LiangGao.html
ZhangYi.html
KangTai.html
PKalita.html
PaweenaPrapainainar.html
AkhilGarg.html
http___dx.doi.org_10.1016_j.measurement.2017.09.009 http://dx.doi.org/10.1016/j.measurement.2017.09.009
http___www.sciencedirect.com_science_article_pii_S0263224117305742 http://www.sciencedirect.com/science/article/pii/S0263224117305742
Huang:2018:ieeeTEC Schema Theory Based Data Engineering in Gene Expression Programming for Big Data Analytics
ZhengwenHuang.html
MaozhenLi.html
ChristosChousidis.html
AlirezaMousavi.html
ChangjunJiang.html
http___ieeexplore.ieee.org_stamp_stamp.jsp_tp__arnumber_8187687 http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8187687
http___dx.doi.org_10.1109_TEVC.2017.2771445 http://dx.doi.org/10.1109/TEVC.2017.2771445
journals/tetci/HuangLMDW19 EGEP: An Event Tracker Enhanced Gene Expression Programming for Data Driven System Engineering Problems
ZhengwenHuang.html
MaozhenLi.html
AlirezaMousavi.html
MoradDanishvar.html
ZidongWang.html
http___dx.doi.org_10.1109_TETCI.2018.2864724 http://dx.doi.org/10.1109/TETCI.2018.2864724
Huang:2012:ICML Empirical estimation of functional relationships between Q value of the L-GEM and training data using genetic programming
Zhi-QianHuang.html
WingWYNg.html
http___dx.doi.org_10.1109_ICMLC.2012.6358937 http://dx.doi.org/10.1109/ICMLC.2012.6358937
Huang:2018:GECCOcomp Multi-population genetic programming with adaptively weighted building blocks for symbolic regression
ZhixingHuang.html
JinghuiZhong.html
WeiliLiu.html
ZhouWu.html
http___dx.doi.org_10.1145_3205651.3205673 http://dx.doi.org/10.1145/3205651.3205673
Huang:2019:SSCI A Multi-Objective Hyper-Heuristic for Unmanned Aerial Vehicle Data Collection in Wireless Sensor Networks
ZhixingHuang.html
ChengyuLu.html
JinghuiZhong.html
http___dx.doi.org_10.1109_SSCI44817.2019.9002862 http://dx.doi.org/10.1109/SSCI44817.2019.9002862
DBLP:journals/soco/HuangZFMC20 A fast parallel genetic programming framework with adaptively weighted primitives for symbolic regression
ZhixingHuang.html
JinghuiZhong.html
LiangFeng.html
YiMei.html
WentongCai.html
https___doi.org_10.1007_s00500-019-04379-4 https://doi.org/10.1007/s00500-019-04379-4
http___dx.doi.org_10.1007_s00500-019-04379-4 http://dx.doi.org/10.1007/s00500-019-04379-4
https___dblp.org_rec_journals_soco_HuangZFMC20.bib https://dblp.org/rec/journals/soco/HuangZFMC20.bib
DBLP:conf/ssci/HuangMZ21 Investigation of Linear Genetic Programming for Dynamic Job Shop Scheduling
ZhixingHuang.html
YiMei.html
MengjieZhang.html
https___doi.org_10.1109_SSCI50451.2021.9660091 https://doi.org/10.1109/SSCI50451.2021.9660091
http___dx.doi.org_10.1109_SSCI50451.2021.9660091 http://dx.doi.org/10.1109/SSCI50451.2021.9660091
https___dblp.org_rec_conf_ssci_HuangMZ21.bib https://dblp.org/rec/conf/ssci/HuangMZ21.bib
Huang:2022:EuroGP An Investigation of Multitask Linear Genetic Programming for Dynamic Job Shop Scheduling
ZhixingHuang.html
FangfangZhang.html
YiMei.html
MengjieZhang.html
http___dx.doi.org_10.1007_978-3-031-02056-8_11 http://dx.doi.org/10.1007/978-3-031-02056-8_11
huang:2022:GECCO2 Graph-based Linear Genetic Programming: A Case Study of Dynamic Scheduling
ZhixingHuang.html
YiMei.html
FangfangZhang.html
MengjieZhang.html
http___dx.doi.org_10.1145_3512290.3528730 http://dx.doi.org/10.1145/3512290.3528730
https___vimeo.com_723510274 https://vimeo.com/723510274
Huang:2022:SSCI A Further Investigation to Improve Linear Genetic Programming in Dynamic Job Shop Scheduling
ZhixingHuang.html
YiMei.html
FangfangZhang.html
MengjieZhang.html
http___dx.doi.org_10.1109_SSCI51031.2022.10022208 http://dx.doi.org/10.1109/SSCI51031.2022.10022208
9810862 Semantic Linear Genetic Programming for Symbolic Regression
ZhixingHuang.html
YiMei.html
JinghuiZhong.html
http___dx.doi.org_10.1109_TCYB.2022.3181461 http://dx.doi.org/10.1109/TCYB.2022.3181461
Huang:2023:GECCO Grammar-Guided Linear Genetic Programming for Dynamic Job Shop Scheduling
ZhixingHuang.html
YiMei.html
FangfangZhang.html
MengjieZhang.html
http___dx.doi.org_10.1145_3583131.3590394 http://dx.doi.org/10.1145/3583131.3590394
Huang:ieeeTEC Multitask Linear Genetic Programming with Shared Individuals and its Application to Dynamic Job Shop Scheduling
ZhixingHuang.html
YiMei.html
FangfangZhang.html
MengjieZhang.html
https___ieeexplore.ieee.org_document_10090245 https://ieeexplore.ieee.org/document/10090245
http___dx.doi.org_10.1109_TEVC.2023.3263871 http://dx.doi.org/10.1109/TEVC.2023.3263871
Huang:ieeeTEC2 Toward Evolving Dispatching Rules With Flow Control Operations By Grammar-Guided Linear Genetic Programming
ZhixingHuang.html
YiMei.html
FangfangZhang.html
MengjieZhang.html
https___ieeexplore.ieee.org_document_10398533 https://ieeexplore.ieee.org/document/10398533
http___dx.doi.org_10.1109_TEVC.2024.3353207 http://dx.doi.org/10.1109/TEVC.2024.3353207
Huang:2024:GPEM Bridging directed acyclic graphs to linear representations in linear genetic programming: a case study of dynamic scheduling
ZhixingHuang.html
YiMei.html
FangfangZhang.html
MengjieZhang.html
WolfgangBanzhaf.html
https___rdcu.be_dw3ha https://rdcu.be/dw3ha
http___dx.doi.org_10.1007_s10710-023-09478-8 http://dx.doi.org/10.1007/s10710-023-09478-8
RISI5715Ana Revision de las tecnicas existentes en Programacion Genetica para evolucionar las subrutinas
AnaMariaHuaynaDuenas.html
http___revistasinvestigacion.unmsm.edu.pe_index.php_sistem_article_view_5715 http://revistasinvestigacion.unmsm.edu.pe/index.php/sistem/article/view/5715
Hubball:2007:ICSC Evolutionary Morphing for Facial Aging Simulation
DanielHubball.html
MinChen.html
PhilWGrant.html
DarrenCosker.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.205.6838 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.205.6838
Hubball:2008:CGF Image-based Aging Using Evolutionary Computing
DanielHubball.html
MinChen.html
PhilWGrant.html
http___dx.doi.org_10.1111_j.1467-8659.2008.01158.x http://dx.doi.org/10.1111/j.1467-8659.2008.01158.x
http___dx.doi.org_10.1111_j.1467-8659.2008.01158.x http://dx.doi.org/10.1111/j.1467-8659.2008.01158.x
Huelsbergen:1996:tsemli Toward Simulated Evolution of Machine-Language Iteration
LorenzHuelsbergen.html
http___cm.bell-labs.com_cm_cs_who_lorenz_papers_gp96.pdf http://cm.bell-labs.com/cm/cs/who/lorenz/papers/gp96.pdf
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http___cognet.mit.edu_sites_default_files_books_9780262315876_pdfs_9780262315876_chap41.pdf http://cognet.mit.edu/sites/default/files/books/9780262315876/pdfs/9780262315876_chap41.pdf
http___cognet.mit.edu_library_books_view_isbn_0262611279 http://cognet.mit.edu/library/books/view?isbn=0262611279
Huelsbergen:1997:lrsemlp Learning Recursive Sequences via Evolution of Machine-Language Programs
LorenzHuelsbergen.html
http___bell-labs.co_who_lorenz_papers_gp97.pdf http://bell-labs.co/who/lorenz/papers/gp97.pdf
http___cm.bell-labs.com_cm_cs_who_lorenz_papers_gp97.ps http://cm.bell-labs.com/cm/cs/who/lorenz/papers/gp97.ps
huelsbergen:1998:fgsppemlr Finding General Solutions to the Parity Problem by Evolving Machine-Language Representations
LorenzHuelsbergen.html
http___cm.bell-labs.com_cm_cs_who_lorenz_papers_gp98.ps http://cm.bell-labs.com/cm/cs/who/lorenz/papers/gp98.ps
huelsbergen:2005:CEC Fast Evolution of Custom Machine Representations
LorenzHuelsbergen.html
http___netlib.bell-labs.com_who_lorenz_papers_huelsbergen-cec2005.pdf http://netlib.bell-labs.com/who/lorenz/papers/huelsbergen-cec2005.pdf
http___dx.doi.org_10.1109_CEC.2005.1554672 http://dx.doi.org/10.1109/CEC.2005.1554672
Hughes:2016:GECCOcomp Finding Nonlinear Relationships in fMRI Time Series with Symbolic Regression
JamesAlexanderHughes.html
MarkDaley.html
http___dx.doi.org_10.1145_2908961.2909021 http://dx.doi.org/10.1145/2908961.2909021
Hughes:2016:CEC Smartphone Gait Fingerprinting Models via Genetic Programming
JamesAlexanderHughes.html
JosephAlexanderBrown.html
AdilMehmoodKhan.html
http___dx.doi.org_10.1109_CEC.2016.7743823 http://dx.doi.org/10.1109/CEC.2016.7743823
Hughes:2017:ieeeCIBCB Modelling intracranial pressure with noninvasive physiological measures
JamesAlexanderHughes.html
EthanCharlesJackson.html
MarkDaley.html
http___dx.doi.org_10.1109_CIBCB.2017.8058525 http://dx.doi.org/10.1109/CIBCB.2017.8058525
Hughes:2018:CIBCB Analysis of symbolic models of biometrie data and their use for action and user identification
JamesAlexanderHughes.html
JosephAlexanderBrown.html
AdilMehmoodKhan.html
AsadMasoodKhattak.html
MarkDaley.html
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Hughes:2019:CEC Generating Nonlinear Models of Functional Connectivity from Functional Magnetic Resonance Imaging Data with Genetic Programming
JamesAlexanderHughes.html
MarkDaley.html
http___dx.doi.org_10.1109_CEC.2019.8790120 http://dx.doi.org/10.1109/CEC.2019.8790120
Hughes:2019:JBHI Models of Parkinson's Disease Patient Gait
JamesAlexanderHughes.html
SheridanHoughten.html
JosephAlexanderBrown.html
http___dx.doi.org_10.1109_JBHI.2019.2961808 http://dx.doi.org/10.1109/JBHI.2019.2961808
Hughes:2019:CIBCB Descriptive Symbolic Models of Gaits from Parkinson's Disease Patients
JamesAlexanderHughes.html
SheridanHoughten.html
JosephAlexanderBrown.html
http___dx.doi.org_10.1109_CIBCB.2019.8791459 http://dx.doi.org/10.1109/CIBCB.2019.8791459
Hughes:2019:CEC2 User and Task Identification of Smartwatch Data with an Ensemble of Nonlinear Symbolic Models
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AdilMehmoodKhan.html
AsadMasoodKhattak.html
MarkDaley.html
http___dx.doi.org_10.1109_CEC.2019.8790249 http://dx.doi.org/10.1109/CEC.2019.8790249
Hughes:2020:CEC Gait Model Analysis of Parkinson's Disease Patients under Cognitive Load
JamesAlexanderHughes.html
SheridanHoughten.html
JosephAlexanderBrown.html
http___dx.doi.org_10.1109_CEC48606.2020.9185621 http://dx.doi.org/10.1109/CEC48606.2020.9185621
Hughes:2020:CIBCB Using Genetic Programming to Investigate a Novel Model of Resting Energy Expenditure for Bariatric Surgery Patients
JamesAlexanderHughes.html
RyanERReid.html
SheridanHoughten.html
RossEAndersen.html
http___dx.doi.org_10.1109_CIBCB48159.2020.9277696 http://dx.doi.org/10.1109/CIBCB48159.2020.9277696
Hughes:thesis Metaheuristics for black-box robust optimisation problems
MartinHughes.html
https___www.research.lancs.ac.uk_portal_en_publications_metaheuristics-for-blackbox-robust-optimisation-problems.html https://www.research.lancs.ac.uk/portal/en/publications/metaheuristics-for-blackbox-robust-optimisation-problems.html
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http___dx.doi.org_10.17635_lancaster_thesis_1036 http://dx.doi.org/10.17635/lancaster/thesis/1036
HUGHES:2021:COR Automatic generation of algorithms for robust optimisation problems using Grammar-Guided Genetic Programming
MartinHughes.html
MarcGoerigk.html
TrivikramDokka.html
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Hugosson:2007:pliks An investigation of the mutation operator using different representations in Grammatical Evolution
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ErikHemberg.html
AnthonyBrabazon.html
MichaelO'Neill.html
http___www.proceedings2007.imcsit.org_pliks_45.pdf http://www.proceedings2007.imcsit.org/pliks/45.pdf
Hugosson2009 Genotype representations in grammatical evolution
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ErikHemberg.html
AnthonyBrabazon.html
MichaelO'Neill.html
http___dx.doi.org_10.1016_j.asoc.2009.05.003 http://dx.doi.org/10.1016/j.asoc.2009.05.003
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hui:2003:UGPPTFSP Using Genetic Programming to Perform Time-Series Forecasting of Stock Prices
AnthonyHui.html
http___www.genetic-programming.org_sp2003_Hui.pdf http://www.genetic-programming.org/sp2003/Hui.pdf
Huk:2015:ieeeCYBCONF Context-sensitive text mining with fitness leveling Genetic Algorithm
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JanKwiatkowski.html
DariuszKonieczny.html
MichalKedziora.html
JolantaMizera-Pietraszko.html
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Hulse:1997:dgpj Distributed Genetic Programming In Java
PaulHulse.html
RichardGerber.html
JenannePrice.html
Hulse:thesis A study of topical applications of genetic programming and genetic algorithms in physical and engineering systems
PaulHulse.html
https___ethos.bl.uk_OrderDetails.do_uin_uk.bl.ethos.391313 https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.391313
http___classify.oclc.org_classify2_ClassifyDemo_owi_12290264 http://classify.oclc.org/classify2/ClassifyDemo?owi=12290264
Huml:2013:BMRI Brain Tumor Classification Using AFM in Combination with Data Mining Techniques
MarleneHuml.html
ReneSilye.html
GeraldZauner.html
StephanHutterer.html
KurtSchilcher.html
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http___dx.doi.org_10.1155_2013_176519 http://dx.doi.org/10.1155/2013/176519
Hung:2006:NA Alignment using genetic programming with causal trees for identification of protein functions
Chun-MinHung.html
Yueh-MinHuang.html
Ming-ShiChang.html
http___dx.doi.org_10.1016_j.na.2005.09.048 http://dx.doi.org/10.1016/j.na.2005.09.048
Hung:2010:IEEM A comparison of three forecasting methods to establish a flexible pavement serviceability index
Ching-TsungHung.html
Shih-HuangChen.html
http___dx.doi.org_10.1109_IEEM.2010.5674216 http://dx.doi.org/10.1109/IEEM.2010.5674216
Hung:2013:iFUZZY Load prediction of virtual machine servers using genetic expression programming
Lung-HsuanHung.html
Chih-HungWu.html
http___dx.doi.org_10.1109_iFuzzy.2013.6825473 http://dx.doi.org/10.1109/iFuzzy.2013.6825473
Hung:2021:ACC Migration-Based Load Balance of Virtual Machine Servers in Cloud Computing by Load Prediction Using Genetic-Based Methods
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Chih-HungWu.html
Chiung-HuiTsai.html
Hsiang-ChehHuang.html
http___dx.doi.org_10.1109_ACCESS.2021.3065170 http://dx.doi.org/10.1109/ACCESS.2021.3065170
Hunt:2010:ACAI Sampling Methods in Genetic Programming for Classification with Unbalanced Data
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MarkJohnston.html
WillNBrowne.html
MengjieZhang.html
http___dx.doi.org_10.1007_978-3-642-17432-2_28 http://dx.doi.org/10.1007/978-3-642-17432-2_28
conf/ausai/HuntJZ11 Improving Robustness of Multiple-Objective Genetic Programming for Object Detection
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MarkJohnston.html
MengjieZhang.html
http___dx.doi.org_10.1007_978-3-642-25832-9_32 http://dx.doi.org/10.1007/978-3-642-25832-9_32
Hunt:2012:CEC Scalability Analysis of Genetic Programming Classifiers
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KouroshNeshatian.html
MengjieZhang.html
http___dx.doi.org_10.1109_CEC.2012.6256520 http://dx.doi.org/10.1109/CEC.2012.6256520
Hunt:2012:SEAL A Genetic Programming Approach to Hyper-Heuristic Feature Selection
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MengjieZhang.html
http___dx.doi.org_10.1007_978-3-642-34859-4_32 http://dx.doi.org/10.1007/978-3-642-34859-4_32
Hunt:2014:CEC Evolving Machine-Specific Dispatching Rules for a Two-Machine Job Shop using Genetic Programming
RachelHunt.html
MarkJohnston.html
MengjieZhang.html
http___dx.doi.org_10.1109_CEC.2014.6900655 http://dx.doi.org/10.1109/CEC.2014.6900655
Hunt:2014:GECCO Evolving "less-myopic" scheduling rules for dynamic job shop scheduling with genetic programming
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MarkJohnston.html
MengjieZhang.html
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Hunt:2015:evoCOP Using Local Search to Evaluate Dispatching Rules in Dynamic Job Shop Scheduling
RachelHunt.html
MarkJohnston.html
MengjieZhang.html
http___dx.doi.org_10.1007_978-3-319-16468-7_19 http://dx.doi.org/10.1007/978-3-319-16468-7_19
DBLP:phd/basesearch/Hunt16 Genetic Programming Hyper-heuristics for Job Shop Scheduling
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hunter:2002:ECAI Using Multiobjective Genetic Programming to Infer Logistic Polynomial Regression Models
AndrewHunter.html
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Huo:2007:ICMA Short-Term Load Forecasting Based on the Method of Genetic Programming
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XinqiaoFan.html
YunfangXie.html
JinliangYin.html
http___dx.doi.org_10.1109_ICMA.2007.4303654 http://dx.doi.org/10.1109/ICMA.2007.4303654
Huo:2008:ICICTA Distribution Network Reconfiguration Based on Load Forecasting
YuanHongbo.html
JinliangYin.html
YaoYu.html
LiguoZhang.html
http___dx.doi.org_10.1109_ICICTA.2008.206 http://dx.doi.org/10.1109/ICICTA.2008.206
conf/ausai/HuoXSZ17 Genetic Programming for Multi-objective Test Data Generation in Search Based Software Testing
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BingXue.html
LinShang.html
MengjieZhang.html
http___dx.doi.org_10.1007_978-3-319-63004-5_14 http://dx.doi.org/10.1007/978-3-319-63004-5_14
Huppe:2017:ICSE-C Mining Complex Temporal API Usage Patterns: An Evolutionary Approach
SamuelHuppe.html
MohamedAymenSaied.html
HouariSahraoui.html
http___dx.doi.org_10.1109_ICSE-C.2017.147 http://dx.doi.org/10.1109/ICSE-C.2017.147
Hurta:2022:EuroGP Evolutionary Design of Reduced Precision Levodopa-Induced Dyskinesia Classifiers
MartinHurta.html
MichaelaSikulova.html
LukasSekanina.html
StephenLSmith.html
JaneEAlty.html
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Hurta:2023:BIBM Utilizing Genetic Programming to Enhance Polygenic Risk Score Calculation
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JanaSchwarzerova.html
ThomasNaegele.html
WolframWeckwerth.html
ValentineProvaznik.html
LukasSekanina.html
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Hurta:2023:DATE ADEE-LID: Automated Design of Energy-Efficient Hardware Accelerators for Levodopa-Induced Dyskinesia Classifiers
MartinHurta.html
VojtechMrazek.html
MichaelaSikulova.html
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Hurta:2023:DDECS MODEE-LID: Multiobjective Design of Energy-Efficient Hardware Accelerators for Levodopa-Induced Dyskinesia Classifiers
MartinHurta.html
VojtechMrazek.html
MichaelaSikulova.html
LukasSekanina.html
http___dx.doi.org_10.1109_DDECS57882.2023.10139399 http://dx.doi.org/10.1109/DDECS57882.2023.10139399
Husa:2017:GECCO Designing Bent Boolean Functions with Parallelized Linear Genetic Programming
JakubHusa.html
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http___dx.doi.org_10.1145_3067695.3084220 http://dx.doi.org/10.1145/3067695.3084220
Husa:2018:EuroGP A Comparative Study on Crossover in Cartesian Genetic Programming
JakubHusa.html
RomanTobiasKalkreuth.html
http___dx.doi.org_10.1007_978-3-319-77553-1_13 http://dx.doi.org/10.1007/978-3-319-77553-1_13
Husa:2019:EuroGP Comparison of Genetic Programming Methods on Design of Cryptographic Boolean Functions
JakubHusa.html
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http___dx.doi.org_10.1007_978-3-030-16670-0_15 http://dx.doi.org/10.1007/978-3-030-16670-0_15
Husa:2019:GECCOcomp Designing correlation immune boolean functions with minimal hamming weight using various genetic programming methods
JakubHusa.html
http___dx.doi.org_10.1145_3319619.3321925 http://dx.doi.org/10.1145/3319619.3321925
Husa:2020:CEC Evolving Cryptographic Boolean Functions with Minimal Multiplicative Complexity
JakubHusa.html
LukasSekanina.html
http___dx.doi.org_10.1109_CEC48606.2020.9185517 http://dx.doi.org/10.1109/CEC48606.2020.9185517
Husa:2024:GPEM Semantic mutation operator for a fast and efficient design of bent Boolean functions
JakubHusa.html
LukasSekanina.html
http___dx.doi.org_10.1007_s10710-023-09476-w http://dx.doi.org/10.1007/s10710-023-09476-w
Hussain:2000:GECCO Evolutionary Techniques Applied to Hashing: An efficient data retrieval method
DaniarHussain.html
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Hussain:2015:hbgpa A New Evolutionary Approach to Geotechnical and Geo-Environmental Modelling
MohammedSHussain.html
AlirezaAhangar-Asr.html
You-LiangChen.html
AkbarAJavadi.html
http___dx.doi.org_10.1007_978-3-319-20883-1_19 http://dx.doi.org/10.1007/978-3-319-20883-1_19
Hussain:1998:IJCNN Network generating attribute grammar encoding
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hussain:1998:bpage Basic Properties of Attribute Grammar Encoding
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oai:CiteSeerPSU:397503 Genetic Encoding of Neural Networks using Attribute Grammars
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oai:CiteSeerPSU:393107 Attribute Grammars for Genetic Representations of Neural Networks and Syntactic Constraints of Genetic Programming
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hussain:1999:W Workshop on advanced grammar techniques within genetic programming and evolutionary computation
TalibSHussain.html
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hussain:1999:G Genetic Operators with Dynamic Biases that Operate on Attribute Grammar Representations of Neural Networks
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Talib.Hussain:thesis Attribute Grammar Encoding of the Structure and Behaviour of Artificial Neural Networks
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DBLP:series/sci/Hussain11 A Meta-Model Perspective and Attribute Grammar Approach to Facilitating the Development of Novel Neural Network Models
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Hussain:2023:GPTP Let's Evolve Intelligence, Not Solutions
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CSTN-190 Visualisation of Combinatorial Program Space and Related Metrics
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KenHawick.html
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CSTN-192 Geometric Optimisation using Karva for Graphical Processing Units
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KenHawick.html
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Husselmann:thesis Data-parallel structural optimisation in agent-based modelling
AlwynVHusselmann.html
http___hdl.handle.net_10179_6219 http://hdl.handle.net/10179/6219
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Husselmann:2015:AISBq About the Cover
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hussian:2000:mwmugp Modeling of a Winding Machine Using Genetic Programming
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MahmoudKamel.html
MohamedTelbaney.html
AshrafAbdelwahab.html
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Hutterer:2012:CIBCB Data mining techniques for AFM- based tumor classification
StephanHutterer.html
GeraldZauner.html
MarleneHuml.html
ReneSilye.html
KurtSchilcher.html
http___dx.doi.org_10.1109_CIBCB.2012.6217218 http://dx.doi.org/10.1109/CIBCB.2012.6217218
Hutterer:2013:GECCOcomp Genetic programming enabled evolution of control policies for dynamic stochastic optimal power flow
StephanHutterer.html
StefanVonolfen.html
MichaelAffenzeller.html
http___dx.doi.org_10.1145_2464576.2482732 http://dx.doi.org/10.1145/2464576.2482732
3071 Probabilistic Electric Vehicle Charging Optimized With Genetic Algorithms and a Two- Stage Sampling Scheme
StephanHutterer.html
MichaelAffenzeller.html
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3264 Evolutionary Computation Enabled Controlled Charging for E-Mobility Aggregators
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MichaelAffenzeller.html
FAuinger.html
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Huynh:2016:GECCOcomp A Semantics based Symbolic Regression Framework for Mining Explicit and Implicit Equations from Data
QuangNhatHuynh.html
HemantKumarSingh.html
TapabrataRay.html
http___dx.doi.org_10.1145_2908961.2908989 http://dx.doi.org/10.1145/2908961.2908989
Huynh:2016:SSCI Improving Symbolic Regression through a semantics-driven framework
QuangNhatHuynh.html
HemantKumarSingh.html
TapabrataRay.html
http___dx.doi.org_10.1109_SSCI.2016.7849941 http://dx.doi.org/10.1109/SSCI.2016.7849941
Huynh:ieeeTEC Genetic Programming with Mixed Integer Linear Programming Based Library Search
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ShelvinChand.html
HemantKumarSingh.html
TapabrataRay.html
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Huynh:2022:SSCI Improved Genetic Programming for Symbolic Regression: Case Studies on Practical Applications
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TapabrataRay.html
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Hvatov:2020:GECCOcomp The Data-Driven Physical-Based Equations Discovery Using Evolutionary Approach
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hwang:2003:ICICS Genetic Programming for Robust Video Transmission
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Hwang:2004:N Layered video transmission based on genetic programming for lossy channels
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iba:1996:aigp2 Extending Genetic Programming with Recombinative Guidance
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iba:1995:rtgTR Random Tree Generation for Genetic Programming
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iba:1997:eca Evolving Communicating Agents based on Genetic Programming
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http___dx.doi.org_10.1109_CEC.1999.781932 http://dx.doi.org/10.1109/CEC.1999.781932
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http___EconPapers.repec.org_RePEc_sce_scecf0_z101 http://EconPapers.repec.org/RePEc:sce:scecf0:z101
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iba:2001:SCA Controlling Effective Introns for Multi-Agent Learning by Means of Genetic Programming
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http___link.springer.com_chapter_10.1007_978-3-7908-1815-4_3 http://link.springer.com/chapter/10.1007/978-3-7908-1815-4_3
http___dx.doi.org_10.1007_978-3-7908-1815-4_3 http://dx.doi.org/10.1007/978-3-7908-1815-4_3
iba:2002:gecco Inference Of Differential Equation Models By Genetic Programming
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http___gpbib.cs.ucl.ac.uk_gecco2002_GP042.ps http://gpbib.cs.ucl.ac.uk/gecco2002/GP042.ps
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http___dx.doi.org_10.1016_j.ins.2008.07.029 http://dx.doi.org/10.1016/j.ins.2008.07.029
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http___www.crcpress.com_product_isbn_9781439803691 http://www.crcpress.com/product/isbn/9781439803691
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https___doi.org_10.1007_978-3-642-01530-4_2 https://doi.org/10.1007/978-3-642-01530-4_2
http___dx.doi.org_10.1007_978-3-642-01530-4_2 http://dx.doi.org/10.1007/978-3-642-01530-4_2
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http___www.springer.com_computer_ai_book_978-1-4419-7746-5 http://www.springer.com/computer/ai/book/978-1-4419-7746-5
http___dx.doi.org_10.1007_978-1-4419-7747-2_13 http://dx.doi.org/10.1007/978-1-4419-7747-2_13
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https___www.springer.com_us_book_9789811301995 https://www.springer.com/us/book/9789811301995
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JiFeng.html
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http___dx.doi.org_10.1109_SMC.2018.00054 http://dx.doi.org/10.1109/SMC.2018.00054
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SIIbadulla.html
ElizavetaYuShmalko.html
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http___dx.doi.org_10.1016_j.procs.2017.01.041 http://dx.doi.org/10.1016/j.procs.2017.01.041
http___www.sciencedirect.com_science_article_pii_S187705091730042X http://www.sciencedirect.com/science/article/pii/S187705091730042X
ibarra:2002:EuroGP Transformation of Equational Specification by Means of Genetic Programming
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http___dx.doi.org_10.1007_3-540-45984-7_24 http://dx.doi.org/10.1007/3-540-45984-7_24
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https___dblp.org_rec_conf_iwann_IbiasG019.bib https://dblp.org/rec/conf/iwann/IbiasG019.bib
Ibias:2021:CEC Coverage-Based Grammar-Guided Genetic Programming Generation of Test Suites
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http___dx.doi.org_10.1109_CEC45853.2021.9504969 http://dx.doi.org/10.1109/CEC45853.2021.9504969
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https___eprints.ucm.es_id_eprint_74119_ https://eprints.ucm.es/id/eprint/74119/
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IBIAS:2022:jss Using mutual information to test from Finite State Machines: Test suite generation
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http___dx.doi.org_10.1016_j.jss.2022.111391 http://dx.doi.org/10.1016/j.jss.2022.111391
https___www.sciencedirect.com_science_article_pii_S0164121222001108 https://www.sciencedirect.com/science/article/pii/S0164121222001108
Ibrahim:2011:ISSNIP Evolving a Path Planner for A Multi-Robot Exploration System Using Grammatical Evolution
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http___dx.doi.org_10.1109_ISSNIP.2011.6146624 http://dx.doi.org/10.1109/ISSNIP.2011.6146624
conf/iros/IbrahimA13 Evolving decision-making functions in an autonomous robotic exploration strategy using grammatical evolution
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http___ieeexplore.ieee.org_xpl_mostRecentIssue.jsp_punumber_6679723 http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=6679723
http___dx.doi.org_10.1109_IROS.2013.6696979 http://dx.doi.org/10.1109/IROS.2013.6696979
Ichimura:2010:SOM A Knowledge Acquisition Method of Judgment Rules for Spam E-mail by using Self Organizing Map and Automatically Defined Groups by Genetic Programming
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http___www.intechopen.com_articles_show_title_a-knowledge-acquisition-method-of-judgment-rules-for-spam-e-mail-by-using-self-organizing-map-and-au http://www.intechopen.com/articles/show/title/a-knowledge-acquisition-method-of-judgment-rules-for-spam-e-mail-by-using-self-organizing-map-and-au
http___dx.doi.org_10.5772_9177 http://dx.doi.org/10.5772/9177
ichise:1998:ilpGP Inductive Logic Programming and Genetic Programming
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http___www.amazon.co.uk_ECAI-Proceedings-Conference-Artificial-Intelligence_dp_0471984310 http://www.amazon.co.uk/ECAI-Proceedings-Conference-Artificial-Intelligence/dp/0471984310
Ichise:1999:JJSAI Inductive Learning with Inductive Logic Programming and Genetic Programming
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http___www.ai-gakkai.or.jp_en_vol14_no2_ http://www.ai-gakkai.or.jp/en/vol14_no2/
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IlknurIcke.html
AndrewRosenberg.html
http___dx.doi.org_10.1145_1830761.1830874 http://dx.doi.org/10.1145/1830761.1830874
Icke:2010:WiML Multi-Objective Genetic Programming Projection Pursuit for Exploratory Data Modeling
IlknurIcke.html
AndrewRosenberg.html
http___arxiv.org_abs_1010.1888 http://arxiv.org/abs/1010.1888
http___pami.uwaterloo.ca__ealee_wiml_2010_program_WiML2010_IlknurIcke.pdf http://pami.uwaterloo.ca/~ealee/wiml/2010/program/WiML2010_IlknurIcke.pdf
icke:2011:EuroGP Multi-Objective Genetic Programming for Visual Analytics
IlknurIcke.html
AndrewRosenberg.html
http___dx.doi.org_10.1007_978-3-642-20407-4_28 http://dx.doi.org/10.1007/978-3-642-20407-4_28
Icke:thesis Multi-objective genetic programming for data visualization and classification
IlknurIcke.html
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Icke:2013:GPTP A Deterministic and Symbolic Regression Hybrid Applied to Resting-State fMRI Data
IlknurIcke.html
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ChristopherMDanforth.html
RobertAWhelan.html
HughPGaravan.html
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http___dx.doi.org_10.1007_978-1-4939-0375-7_9 http://dx.doi.org/10.1007/978-1-4939-0375-7_9
Icke:2013:CEC Modeling Hierarchy Using Symbolic Regression
IlknurIcke.html
JoshCBongard.html
http___dx.doi.org_10.1109_CEC.2013.6557932 http://dx.doi.org/10.1109/CEC.2013.6557932
Icke:2013:CECa Improving Genetic Programming Based Symbolic Regression Using Deterministic Machine Learning
IlknurIcke.html
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http___dx.doi.org_10.1109_CEC.2013.6557774 http://dx.doi.org/10.1109/CEC.2013.6557774
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AdnanIdris.html
AsifullahKhan.html
YeonSooLee.html
http___dx.doi.org_10.1109_ICSMC.2012.6377917 http://dx.doi.org/10.1109/ICSMC.2012.6377917
igel:98 Causality of Hierarchical Variable Length Representations
ChristianIgel.html
http___www.neuroinformatik.ruhr-uni-bochum.de_PEOPLE_igel_CoHVLR.ps.gz http://www.neuroinformatik.ruhr-uni-bochum.de/PEOPLE/igel/CoHVLR.ps.gz
http___dx.doi.org_10.1109_ICEC.1998.699753 http://dx.doi.org/10.1109/ICEC.1998.699753
igel:1999:aigp3 Fitness Distributions: Tools for Designing Efficient Evolutionary Computations
ChristianIgel.html
KumarChellapilla.html
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http___dx.doi.org_10.7551_mitpress_1110.003.0013 http://dx.doi.org/10.7551/mitpress/1110.003.0013
igel:1999:UFDIELS Using Fitness Distributions to Improve the Evolution of Learning Structures
ChristianIgel.html
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http___www.neuroinformatik.ruhr-uni-bochum.de_ini_PEOPLE_igel_UFDtItEoLS.ps.gz http://www.neuroinformatik.ruhr-uni-bochum.de/ini/PEOPLE/igel/UFDtItEoLS.ps.gz
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http___dx.doi.org_10.1109_CEC.1999.785505 http://dx.doi.org/10.1109/CEC.1999.785505
igel:1999:IIDDGCFGP Investigating the Influence of Depth and Degree of Genotypic Change on Fitness in Genetic Programming
ChristianIgel.html
KumarChellapilla.html
http___gpbib.cs.ucl.ac.uk_gecco1999_GP-422.pdf http://gpbib.cs.ucl.ac.uk/gecco1999/GP-422.pdf
http___gpbib.cs.ucl.ac.uk_gecco1999_GP-422.ps http://gpbib.cs.ucl.ac.uk/gecco1999/GP-422.ps
Igel:2003:NC Neutrality and Self-Adaptation
ChristianIgel.html
MarcToussaint.html
http___www.neuroinformatik.ruhr-uni-bochum.de_PEOPLE_igel_NaSA.pdf http://www.neuroinformatik.ruhr-uni-bochum.de/PEOPLE/igel/NaSA.pdf
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http___dx.doi.org_10.1023_A_1024906105255 http://dx.doi.org/10.1023/A:1024906105255
Igel:2014:GECCO GECCO '14: Proceedings of the 2014 conference on Genetic and evolutionary computation
ChristianIgel.html
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DirkThierens.html
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CarstenWitt.html
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http___dl.acm.org_citation.cfm_id_2576768 http://dl.acm.org/citation.cfm?id=2576768
http___dx.doi.org_10.1145_2576768 http://dx.doi.org/10.1145/2576768
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KevinCIgwe.html
NelishiaPillay.html
ChristopherRae.html
http___dl.acm.org_citation.cfm_id_2513456 http://dl.acm.org/citation.cfm?id=2513456
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http___dx.doi.org_10.1145_2513456.2513492 http://dx.doi.org/10.1145/2513456.2513492
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KevinCIgwe.html
NelishiaPillay.html
http___www.mirlabs.net_wict13_proceedings_html_paper91.xml http://www.mirlabs.net/wict13/proceedings/html/paper91.xml
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http___dx.doi.org_10.1109_WICT.2013.7113158 http://dx.doi.org/10.1109/WICT.2013.7113158
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KevinCIgwe.html
NelishiaPillay.html
http___www.prasa.org_proceedings_2014_prasa2014-20.pdf http://www.prasa.org/proceedings/2014/prasa2014-20.pdf
Igwe:2015:NaBIC A Study of Genetic Programming and Grammatical Evolution for Automatic Object-Oriented Programming: A Focus on the List Data Structure
KevinCIgwe.html
NelishiaPillay.html
http___dx.doi.org_10.1007_978-3-319-27400-3_14 http://dx.doi.org/10.1007/978-3-319-27400-3_14
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TakamasaIio.html
IvanTTanev.html
KatsunoriShimohara.html
http___dx.doi.org_10.1109_SICE.2008.4654898 http://dx.doi.org/10.1109/SICE.2008.4654898
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WouterIJntema.html
FrederikHogenboom.html
FlaviusFrasincar.html
DamirVandic.html
http___dx.doi.org_10.1007_978-3-319-11749-2 http://dx.doi.org/10.1007/978-3-319-11749-2
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AukeJanIjspeert.html
JeromeKodjabachian.html
http___dx.doi.org_10.1162_106454699568773 http://dx.doi.org/10.1162/106454699568773
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YoshikazuIkeda.html
ShozoTokinaga.html
http___search.ieice.org_bin_summary.php_id_e83-a_8_1599_category_A_year_2000_lang_E_abst_ http://search.ieice.org/bin/summary.php?id=e83-a_8_1599&category=A&year=2000&lang=E&abst=
http___search.ieice.org_bin_summary.php_id_e83-a_8_1599 http://search.ieice.org/bin/summary.php?id=e83-a_8_1599
https___ci.nii.ac.jp_naid_10008989573_en_ https://ci.nii.ac.jp/naid/10008989573/en/
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ShozoTokinaga.html
http___dx.doi.org_10.1093_ietfec_e90-a.10.2203 http://dx.doi.org/10.1093/ietfec/e90-a.10.2203
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YoshikazuIkeda.html
ShozoTokinaga.html
http___dx.doi.org_10.1093_ietfec_e90-a.10.2212 http://dx.doi.org/10.1093/ietfec/e90-a.10.2212
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IMIkram.html
iles:2002:RDS A search for routing strategies in a peer-to-peer network using genetic programming
MichaelIles.html
DwightDeugo.html
http___dx.doi.org_10.1109_RELDIS.2002.1180207 http://dx.doi.org/10.1109/RELDIS.2002.1180207
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MehmetAliIlgin.html
SurendraMGupta.html
http___dx.doi.org_10.1016_j.jenvman.2009.09.037 http://dx.doi.org/10.1016/j.jenvman.2009.09.037
http___www.sciencedirect.com_science_article_B6WJ7-4XHC6JT-5_2_d21573d2beec024e5b27fd2fdb11b653 http://www.sciencedirect.com/science/article/B6WJ7-4XHC6JT-5/2/d21573d2beec024e5b27fd2fdb11b653
ilich:2000:thesis A Strongly Feasible Evolution Program for non-linear optimization of Network Flows
NesaIlich.html
http___mspace.lib.umanitoba.ca_bitstream_1993_1759_1_NQ57510.pdf http://mspace.lib.umanitoba.ca/bitstream/1993/1759/1/NQ57510.pdf
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PeterDittrich.html
NunoCarvalhais.html
MartinJung.html
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MicroMigliavacca.html
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SebastianSippel.html
Jens-ArneSubke.html
MatthewWilkinson.html
MiguelDMahecha.html
http___eprints.whiterose.ac.uk_120841_1_GMD_Ilie_et_al_2016_finalAccepted.pdf http://eprints.whiterose.ac.uk/120841/1/GMD_Ilie_et_al_2016_finalAccepted.pdf
http___eprints.whiterose.ac.uk_120841_ http://eprints.whiterose.ac.uk/120841/
http___dx.doi.org_10.5194_gmd-2016-242 http://dx.doi.org/10.5194/gmd-2016-242
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IuliaIlie.html
https___nbn-resolving.org_urn_nbn_de_gbv_27-dbt-20191108-110917-008 https://nbn-resolving.org/urn:nbn:de:gbv:27-dbt-20191108-110917-008
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http___uri.gbv.de_document_gvk_ppn_1681505169 http://uri.gbv.de/document/gvk:ppn:1681505169
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VicenteIllanes.html
AlexandreBergel.html
https___geneticimprovementofsoftware.com_paper_pdfs_gi2021icse_illanes_gi-icse_2021.pdf https://geneticimprovementofsoftware.com/paper_pdfs/gi2021icse/illanes_gi-icse_2021.pdf
http___bergel.eu_MyPapers_Illa21a-GP.pdf http://bergel.eu/MyPapers/Illa21a-GP.pdf
https___www.youtube.com_watch_v_PMPm-jpdg6U_list_PLI8fiFpB7BoKDaxvS7SQp0iA7fN7rrvDD_index_19 https://www.youtube.com/watch?v=PMPm-jpdg6U&list=PLI8fiFpB7BoKDaxvS7SQp0iA7fN7rrvDD&index=19
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AlexRBertels.html
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AdamHarter.html
SamuelRichter.html
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WilliamMSiever.html
http___dx.doi.org_10.1109_SSCI.2017.8280953 http://dx.doi.org/10.1109/SSCI.2017.8280953
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MarketaIlletskova.html
IslamElnabarawy.html
LeonardoEnzoBritodaSilva.html
DanielRTauritz.html
DonaldCWunschII.html
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CarlIm.html
ErikHemberg.html
http___dx.doi.org_10.1145_3319619.3322038 http://dx.doi.org/10.1145/3319619.3322038
im:2021:ND Application of genetic programming for model-free identification of nonlinear multi-physics systems
JinwooIm.html
CalogeroBRizzo.html
FelipeDeBarros.html
SamiFMasri.html
http___link.springer.com_article_10.1007_s11071-021-06335-0 http://link.springer.com/article/10.1007/s11071-021-06335-0
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JanineHImada.html
BrianJRoss.html
http___gpbib.cs.ucl.ac.uk_gecco2008_docs_p2153.pdf http://gpbib.cs.ucl.ac.uk/gecco2008/docs/p2153.pdf
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JanineHImada.html
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http___hdl.handle.net_10464_2853 http://hdl.handle.net/10464/2853
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JanineHImada.html
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http___dx.doi.org_10.1007_s00354-009-0115-7 http://dx.doi.org/10.1007/s00354-009-0115-7
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TomoakiKobayashi.html
http___dx.doi.org_10.1109_SICE.2008.4655041 http://dx.doi.org/10.1109/SICE.2008.4655041
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JoeImae.html
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TomoakiKobayashi.html
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JamesAFoster.html
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imamura:2001:gecco Fault-Tolerant Computing with N-Version Genetic Programming
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http___dx.doi.org_10.1007_3-540-45984-7_17 http://dx.doi.org/10.1007/3-540-45984-7_17
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RobertBHeckendorn.html
TerenceSoule.html
JamesAFoster.html
http___gpbib.cs.ucl.ac.uk_gecco2002_GP169.ps http://gpbib.cs.ucl.ac.uk/gecco2002/GP169.ps
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http___dl.acm.org_citation.cfm_id_646205.682481 http://dl.acm.org/citation.cfm?id=646205.682481
imamura:2002:gecco:workshop Abstention Reduces Errors - Decision Abstaining N-version Genetic Programming
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http___search.proquest.com_docview_288080102 http://search.proquest.com/docview/288080102
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TerenceSoule.html
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http___purl.fcla.edu_fcla_etd_40-Sanaz_Imen-Dissertation-After_Changes_From_Final_Format_Check.pdf http://purl.fcla.edu/fcla/etd/40-Sanaz_Imen-Dissertation-After_Changes_From_Final_Format_Check.pdf
http___purl.fcla.edu_fcla_etd_CFE0005632 http://purl.fcla.edu/fcla/etd/CFE0005632
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oai:xtcat.oclc.org:OCLCNo/ocm43628471 On synchronized evolution of the network of automata
YoshiyukiInagaki.html
https___uci.primo.exlibrisgroup.com_discovery_fulldisplay_docid_alma991023376589704701_context_L_vid_01CDL_IRV_INST_UCI_search_scope_MyInst_and_CI_tab_Everything_lang_en https://uci.primo.exlibrisgroup.com/discovery/fulldisplay?docid=alma991023376589704701&context=L&vid=01CDL_IRV_INST:UCI&search_scope=MyInst_and_CI&tab=Everything&lang=en
http___search.proquest.com_docview_304498722 http://search.proquest.com/docview/304498722
inagaki:2002:TEC On Synchronized Evolution of the Network of Automata
YoshiyukiInagaki.html
http___ieeexplore.ieee.org_iel5_4235_21497_00996014.pdf_tp__arnumber_996014_isnumber_21497_arSt_147_ared_158_arAuthor_Inagaki_2C_Y._3B http://ieeexplore.ieee.org/iel5/4235/21497/00996014.pdf?tp=&arnumber=996014&isnumber=21497&arSt=147&ared=158&arAuthor=Inagaki%2C+Y.%3B
http___dx.doi.org_10.1109_4235.996014 http://dx.doi.org/10.1109/4235.996014
Indrakala:2016:ICETETS Comparative study of an intelligent dynamic approaches in predicting exchange rate
SIndrakala.html
TChitrakalarani.html
http___dx.doi.org_10.1109_ICETETS.2016.7603125 http://dx.doi.org/10.1109/ICETETS.2016.7603125
Indri:2022:EuroGP One-Shot Learning of Ensembles of Temporal Logic Formulas for Anomaly Detection in Cyber-Physical Systems
PatrickIndri.html
AlbertoBartoli.html
EricMedvet.html
LauraNenzi.html
https___medvet.inginf.units.it_publications_2022-c-ibmn-one_ https://medvet.inginf.units.it/publications/2022-c-ibmn-one/
http___dx.doi.org_10.1007_978-3-031-02056-8_3 http://dx.doi.org/10.1007/978-3-031-02056-8_3
https___github.com_pindri_OneShot-ensemble-learning-anomaly-detection-MTS https://github.com/pindri/OneShot-ensemble-learning-anomaly-detection-MTS
conf/eurocast/InfuhrR11 Automatic Generation of 2-AntWars Players with Genetic Programming
JohannesInfuehr.html
GuntherRRaidl.html
http___dx.doi.org_10.1007_978-3-642-27549-4_32 http://dx.doi.org/10.1007/978-3-642-27549-4_32
ingalalli:2014:EuroGP A Multi-dimensional Genetic Programming Approach for Multi-class Classification Problems
VijayIngalalli.html
SaraSilva.html
MauroCastelli.html
LeonardoVanneschi.html
http___dx.doi.org_10.1007_978-3-662-44303-3_5 http://dx.doi.org/10.1007/978-3-662-44303-3_5
EasyChair:7821 Benchmarking Individual Representation in Grammar-Guided Genetic Programming
LeonIngelse.html
GuilhermeJorgeNunesMonteiroEspada.html
AlcidesFonseca.html
https___easychair.org_publications_preprint_wqrb https://easychair.org/publications/preprint/wqrb
https___wwwww.easychair.org_publications_preprint_download_wqrb https://wwwww.easychair.org/publications/preprint_download/wqrb
https___arxiv.org_abs_2208.00555 https://arxiv.org/abs/2208.00555
Ingelse:2023:EuroGP Domain-Aware Feature Learning with Grammar-Guided Genetic Programming
LeonIngelse.html
AlcidesFonseca.html
https___rdcu.be_c8U0S https://rdcu.be/c8U0S
http___dx.doi.org_10.1007_978-3-031-29573-7_15 http://dx.doi.org/10.1007/978-3-031-29573-7_15
ingelse:2023:GEWS2023 Comparing Individual Representations in Grammar-Guided Genetic Programming for Glucose Prediction in People with Diabetes
LeonIngelse.html
Jose-IgnacioHidalgo.html
JManuelColmenar.html
NunoLourenco.html
AlcidesFonseca.html
http___dx.doi.org_10.1145_3583133.3596315 http://dx.doi.org/10.1145/3583133.3596315
inhasz:2010:MBRST Emergent Semiotics in Genetic Programming and the Self-Adaptive Semantic Crossover
RafaelInhasz.html
JulioMichaelStern.html
http___link.springer.com_chapter_10.1007_978-3-642-15223-8_21 http://link.springer.com/chapter/10.1007/978-3-642-15223-8_21
http___dx.doi.org_10.1007_978-3-642-15223-8_21 http://dx.doi.org/10.1007/978-3-642-15223-8_21
Innes:thesis Genetic Programing for Cephalometric Landmark Detection
AndrewInnes.html
http___adt.lib.rmit.edu.au_adt_uploads_approved_adt-VIT20080221.123310_public_02whole.pdf http://adt.lib.rmit.edu.au/adt/uploads/approved/adt-VIT20080221.123310/public/02whole.pdf
his03:Inoue Cooperative Transportation by Humanoid Robots: Learning to Correct Positioning
YutakaInoue.html
TakahiroTohge.html
HitoshiIba.html
http___www.iba.k.u-tokyo.ac.jp_papers_2003_inoueHIS2003.pdf http://www.iba.k.u-tokyo.ac.jp/papers/2003/inoueHIS2003.pdf
Inoue:2004:EMTP Learning for Cooperative Transportation by Autonomous Humanoid Robots
YutakaInoue.html
TakahiroTohge.html
HitoshiIba.html
http___www.springeronline.com_sgw_cda_frontpage_0_11855_5-175-22-33980449-0_00.html http://www.springeronline.com/sgw/cda/frontpage/0,11855,5-175-22-33980449-0,00.html
Ioannides:2010:HVC Feedback-Based Coverage Directed Test Generation: An Industrial Evaluation
CharalambosIoannides.html
GeoffBarrett.html
KerstinIEder.html
http___hdl.handle.net_1983_1740 http://hdl.handle.net/1983/1740
http___dx.doi.org_10.1007_978-3-642-19583-9_13 http://dx.doi.org/10.1007/978-3-642-19583-9_13
Iovino:2021:ICRA Learning Behavior Trees with Genetic Programming in Unpredictable Environments
MatteoIovino.html
JonathanStyrud.html
PietroFalco.html
ChristianSmith.html
http___dx.doi.org_10.1109_ICRA48506.2021.9562088 http://dx.doi.org/10.1109/ICRA48506.2021.9562088
Iovino:2023:CASE A Framework for Learning Behavior Trees in Collaborative Robotic Applications
MatteoIovino.html
JonathanStyrud.html
PietroFalco.html
ChristianSmith.html
http___dx.doi.org_10.1109_CASE56687.2023.10260363 http://dx.doi.org/10.1109/CASE56687.2023.10260363
Iqbal:2011:GECCOcomp Automatically defined functions for learning classifier systems
MuhammadIqbal.html
MengjieZhang.html
WillNBrowne.html
http___dx.doi.org_10.1145_2001858.2002022 http://dx.doi.org/10.1145/2001858.2002022
Iqbal:2013:SC Evolving optimum populations with XCS classifier systems
MuhammadIqbal.html
WillNBrowne.html
MengjieZhang.html
http___dx.doi.org_10.1007_s00500-012-0922-5 http://dx.doi.org/10.1007/s00500-012-0922-5
Iqbal:2013:ieeeTEC Reusing Building Blocks of Extracted Knowledge to Solve Complex, Large-Scale Boolean Problems
MuhammadIqbal.html
WillNBrowne.html
MengjieZhang.html
http___homepages.ecs.vuw.ac.nz__mengjie_papers_ http://homepages.ecs.vuw.ac.nz/~mengjie/papers/
http___ieeexplore.ieee.org_stamp_stamp.jsp_arnumber_06595603 http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=06595603
http___dx.doi.org_10.1109_TEVC.2013.2281537 http://dx.doi.org/10.1109/TEVC.2013.2281537
Iqbal:2013:GECCOcomp Comparison of two methods for computing action values in XCS with code-fragment actions
MuhammadIqbal.html
WillNBrowne.html
MengjieZhang.html
http___dx.doi.org_10.1145_2464576.2482702 http://dx.doi.org/10.1145/2464576.2482702
Iqbal:2013:GECCO Extending learning classifier system with cyclic graphs for scalability on complex, large-scale Boolean problems
MuhammadIqbal.html
WillNBrowne.html
MengjieZhang.html
http___dx.doi.org_10.1145_2463372.2463500 http://dx.doi.org/10.1145/2463372.2463500
Iqbal:2013:EI Learning complex, overlapping and niche imbalance Boolean problems using XCS-based classifier systems
MuhammadIqbal.html
WillNBrowne.html
MengjieZhang.html
http___dx.doi.org_10.1007_s12065-013-0091-1 http://dx.doi.org/10.1007/s12065-013-0091-1
http___dx.doi.org_10.1007_s12065-013-0091-1 http://dx.doi.org/10.1007/s12065-013-0091-1
Iqbal:2015:SC Improving genetic search in XCS-based classifier systems through understanding the evolvability of classifier rules
MuhammadIqbal.html
WillNBrowne.html
MengjieZhang.html
http___dx.doi.org_10.1007_s00500-014-1369-7 http://dx.doi.org/10.1007/s00500-014-1369-7
conf/pakdd/IqbalXZ16 Reusing Extracted Knowledge in Genetic Programming to Solve Complex Texture Image Classification Problems
MuhammadIqbal.html
BingXue.html
MengjieZhang.html
http___dx.doi.org_10.1007_978-3-319-31750-2 http://dx.doi.org/10.1007/978-3-319-31750-2
Iqbal:2016:CEC Improving Classification on Images by Extracting and Transferring Knowledge in Genetic Programming
MuhammadIqbal.html
MengjieZhang.html
BingXue.html
http___dx.doi.org_10.1109_CEC.2016.7744243 http://dx.doi.org/10.1109/CEC.2016.7744243
Iqbal:xd:ieeeTEC Cross-Domain Reuse of Extracted Knowledge in Genetic Programming for Image Classification
MuhammadIqbal.html
BingXue.html
HarithAl-Sahaf.html
MengjieZhang.html
http___ieeexplore.ieee.org_stamp_stamp.jsp_tp__arnumber_7833127 http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7833127
http___dx.doi.org_10.1109_TEVC.2017.2657556 http://dx.doi.org/10.1109/TEVC.2017.2657556
iqbal:SC Genetic programming with transfer learning for texture image classification
MuhammadIqbal.html
HarithAl-Sahaf.html
BingXue.html
MengjieZhang.html
http___link.springer.com_article_10.1007_s00500-019-03843-5 http://link.springer.com/article/10.1007/s00500-019-03843-5
http___dx.doi.org_10.1007_s00500-019-03843-5 http://dx.doi.org/10.1007/s00500-019-03843-5
Irani:1997:gaoijt Genetic Algorithm Optimization of Investment Justification Theory
ZahirIrani.html
AmirShari.html
irani:1998:rpeIea A Revised Perspective on the Evaluation of IT/IS Investments using an Evolutionary Approach
ZahirIrani.html
AmirMSharif.html
http___bura.brunel.ac.uk_handle_2438_4257 http://bura.brunel.ac.uk/handle/2438/4257
http___bura.brunel.ac.uk_bitstream_2438_4257_1_GP98_20-_20GA-ISE.pdf http://bura.brunel.ac.uk/bitstream/2438/4257/1/GP98%20-%20GA-ISE.pdf
Irfan:2010:ICET Combinational digital circuit synthesis using Cartesian Genetic Programming from a NAND gate template
MuhammadIrfan.html
QaiserHabib.html
GhulamMHassan.html
KhawajaMYahya.html
SamiraHayat.html
http___dx.doi.org_10.1109_ICET.2010.5638462 http://dx.doi.org/10.1109/ICET.2010.5638462
Isaka:1997:esfife An Empirical Study of Facial Image Feature Extraction by Genetic Programming
SatoruIsaka.html
conf/semweb/IseleB11 Learning linkage rules using genetic programming
RobertIsele.html
ChristianBizer.html
http___ceur-ws.org_Vol-814_om2011_Tpaper2.pdf http://ceur-ws.org/Vol-814/om2011_Tpaper2.pdf
http___ceur-ws.org_Vol-814 http://ceur-ws.org/Vol-814
p1638:robertisele:vldb2012 Learning Expressive Linkage Rules using Genetic Programming
RobertIsele.html
ChristianBizer.html
http___vldb.org_pvldb_vol5_p1638_robertisele_vldb2012.pdf http://vldb.org/pvldb/vol5/p1638_robertisele_vldb2012.pdf
http___www.vldb.org_pvldb_vol5.html http://www.vldb.org/pvldb/vol5.html
http___arxiv.org_abs_1208.0291 http://arxiv.org/abs/1208.0291
http___arxiv.org_pdf_1208.0291v1 http://arxiv.org/pdf/1208.0291v1
Isele_Dissertation Learning Expressive Linkage Rules for Entity Matching using Genetic Programming
RobertIsele.html
https___ub-madoc.bib.uni-mannheim.de_33418_ https://ub-madoc.bib.uni-mannheim.de/33418/
https___ub-madoc.bib.uni-mannheim.de_33418_1_Isele_Dissertation.pdf https://ub-madoc.bib.uni-mannheim.de/33418/1/Isele_Dissertation.pdf
Isele:2013:WSSSAWWW Active learning of expressive linkage rules using genetic programming
RobertIsele.html
ChristianBizer.html
http___dx.doi.org_10.1016_j.websem.2013.06.001 http://dx.doi.org/10.1016/j.websem.2013.06.001
http___www.sciencedirect.com_science_article_pii_S1570826813000231 http://www.sciencedirect.com/science/article/pii/S1570826813000231
Isherwood:2023:WSC Using Evolutionary Model Discovery to Develop Robust Policies
AlexIsherwood.html
MatthewKoehler.html
DavidSlater.html
http___dx.doi.org_10.1109_WSC60868.2023.10407233 http://dx.doi.org/10.1109/WSC60868.2023.10407233
ishida:2002:gmsgpidm GPSQL Miner: SQL-Grammar Genetic Programming in Data Mining
CelsoYoshikazuIshida.html
AuroraTrinidadRamirezPozo.html
http___dx.doi.org_10.1109_CEC.2002.1004418 http://dx.doi.org/10.1109/CEC.2002.1004418
Ishikawa:2014:ICEM Shape Optimization of Flux Barriers in IPMSM by using Polygon Model Method with GP
KotaIshikawa.html
WataruKitagawa.html
TakaharuTakeshita.html
http___dx.doi.org_10.1109_ICELMACH.2014.6960365 http://dx.doi.org/10.1109/ICELMACH.2014.6960365
Ishino:2002:AEI Estimate design intent: a multiple genetic programming and multivariate analysis based approach
YokoIshino.html
YanJin.html
http___www.sciencedirect.com_science_article_B6X1X-45XR6TT-3_2_d9b1ec675457ba42091348338705293d http://www.sciencedirect.com/science/article/B6X1X-45XR6TT-3/2/d9b1ec675457ba42091348338705293d
http___dx.doi.org_10.1016_S1474-0346_01_00005-2 http://dx.doi.org/10.1016/S1474-0346(01)00005-2
Ishiwaka:2020:ICHMS Wordoids: Boid Based Personalized Word Clustering System in Dark Side Ternary Stars
YukoIshiwaka.html
KazutakaIzumi.html
TomohiroYoshida.html
GakuYasui.html
http___dx.doi.org_10.1109_ICHMS49158.2020.9209540 http://dx.doi.org/10.1109/ICHMS49158.2020.9209540
Iskander:2022:AP-S Genetic Programming for Advanced Metamaterial Design: A Legacy of a Perfectionist
MagdyFIskander.html
http___dx.doi.org_10.1109_AP-S_USNC-URSI47032.2022.9886990 http://dx.doi.org/10.1109/AP-S/USNC-URSI47032.2022.9886990
DBLP:conf/ijcci/IslamKG18 Expansion: A Novel Mutation Operator for Genetic Programming
MohiulIslam.html
NawwafKharma.html
PeterGrogono.html
https___doi.org_10.5220_0006927800550066 https://doi.org/10.5220/0006927800550066
http___dx.doi.org_10.5220_0006927800550066 http://dx.doi.org/10.5220/0006927800550066
https___dblp.org_rec_conf_ijcci_IslamKG18.bib https://dblp.org/rec/conf/ijcci/IslamKG18.bib
ISLAM:2020:ASC Mutation operators for Genetic Programming using Monte Carlo Tree Search
MohiulIslam.html
NawwafKharma.html
PeterGrogono.html
http___dx.doi.org_10.1016_j.asoc.2020.106717 http://dx.doi.org/10.1016/j.asoc.2020.106717
http___www.sciencedirect.com_science_article_pii_S1568494620306554 http://www.sciencedirect.com/science/article/pii/S1568494620306554
Islam:alife22 String: a programming language for the evolution of ribozymes in a new computational protocell model
MohiulIslam.html
NawwafKharma.html
PeterGrogono.html
https___direct.mit.edu_isal_proceedings-pdf_isal_34_54_2035323_isal_a_00538.pdf https://direct.mit.edu/isal/proceedings-pdf/isal/34/54/2035323/isal_a_00538.pdf
http___dx.doi.org_10.1162_isal_a_00538 http://dx.doi.org/10.1162/isal_a_00538
Islam:2022:JCEM A Coupled Genetic Programming Monte Carlo Simulation-Based Model for Cost Overrun Prediction of Thermal Power Plant Projects
MuhammadSaifulIslam.html
SaeedRezaMohandes.html
AmirMahdiyar.html
AlirezaFallahpour.html
AyokunleOlubunmiOlanipekun.html
https___ascelibrary.org_doi_abs_10.1061__28ASCE_29CO.1943-7862.0002327 https://ascelibrary.org/doi/abs/10.1061/%28ASCE%29CO.1943-7862.0002327
http___dx.doi.org_10.1061__ASCE_CO.1943-7862.0002327 http://dx.doi.org/10.1061/(ASCE)CO.1943-7862.0002327
Islam2012 Tree-based Genetic Programming Approach to Infer Microphysical Parameters of the DSDs from the Polarization Diversity Measurements
TanvirIslam.html
MiguelARico-Ramirez.html
DaweiHan.html
http___dx.doi.org_10.1016_j.cageo.2012.05.028 http://dx.doi.org/10.1016/j.cageo.2012.05.028
http___www.sciencedirect.com_science_article_pii_S0098300412001847_v_s5 http://www.sciencedirect.com/science/article/pii/S0098300412001847?v=s5
Islam:2012:ASR Using S-band dual polarized radar for convective/stratiform rain indexing and the correspondence with AMSR-E GSFC profiling algorithm
TanvirIslam.html
MiguelARico-Ramirez.html
DaweiHan.html
PrashantKSrivastava.html
http___dx.doi.org_10.1016_j.asr.2012.07.011 http://dx.doi.org/10.1016/j.asr.2012.07.011
http___www.sciencedirect.com_science_article_pii_S0273117712004693 http://www.sciencedirect.com/science/article/pii/S0273117712004693
Islam:thesis Advances in numerical analysis of precipitation remote sensing with polarimetric radar
TanvirIslam.html
http___ethos.bl.uk_OrderDetails.do_uin_uk.bl.ethos.574418 http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.574418
Ismail:2009:IJCSIS Genetic Programming Framework for Fingerprint Matching
IsmailAmrIsmail.html
NabawiaAElRamly.html
MohammedAAbd-ElWahid.html
PassentMElKafrawy.html
MohammedMNasef.html
http___arxiv.org_abs_0912.1017 http://arxiv.org/abs/0912.1017
http___sites.google.com_site_ijcsis_vol-6-no-2-november-2009 http://sites.google.com/site/ijcsis/vol-6-no-2-november-2009
http___arxiv.org_abs_0912.1017 http://arxiv.org/abs/0912.1017
Ismail:2015 Evolution of an adaptive mathematics learning game for lower primary students
SitiAfiqahIsmail.html
JasonTeoTzeWi.html
http___www.ums.edu.my_fki_index.php_en_evolution-of-an-adaptive-mathematics-learning-game-for-lower-primary-students http://www.ums.edu.my/fki/index.php/en/evolution-of-an-adaptive-mathematics-learning-game-for-lower-primary-students
http___www.ums.edu.my_fki_files_EVOLUTION_OF_AN_ADAPTIVE_MATHEMATICS_LEARNING_GAME_FOR_LOWER_PRIMARY_STUDENTS_new.pdf http://www.ums.edu.my/fki/files/EVOLUTION_OF_AN_ADAPTIVE_MATHEMATICS_LEARNING_GAME_FOR_LOWER_PRIMARY_STUDENTS_new.pdf
ito:1996:rrpgGP Robustness of Robot Programs Generated by Genetic Programming
TakuyaIto.html
HitoshiIba.html
MasayukiKimura.html
http___cognet.mit.edu_sites_default_files_books_9780262315876_pdfs_9780262315876_chap42.pdf http://cognet.mit.edu/sites/default/files/books/9780262315876/pdfs/9780262315876_chap42.pdf
http___cognet.mit.edu_library_books_view_isbn_0262611279 http://cognet.mit.edu/library/books/view?isbn=0262611279
ito:1998:nddx Non-Destructive Depth-Dependent Crossover for Genetic Programming
TakuyaIto.html
HitoshiIba.html
SatoshiSato.html
http___dx.doi.org_10.1007_BFb0055929 http://dx.doi.org/10.1007/BFb0055929
ito:1998:ddx Depth-Dependent Crossover for Genetic Programming
TakuyaIto.html
HitoshiIba.html
SatoshiSato.html
http___dx.doi.org_10.1109_ICEC.1998.700150 http://dx.doi.org/10.1109/ICEC.1998.700150
ito:1999:aigp3 A Self-Tuning Mechanism for Depth-Dependent Crossover
TakuyaIto.html
HitoshiIba.html
SatoshiSato.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_aigp3_ch16.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/aigp3/ch16.pdf
http___dx.doi.org_10.7551_mitpress_1110.003.0021 http://dx.doi.org/10.7551/mitpress/1110.003.0021
TakuyaIto:thesis Efficient program generation by genetic programming
TakuyaIto.html
http___hdl.handle.net_10119_876 http://hdl.handle.net/10119/876
https___dspace.jaist.ac.jp_dspace_bitstream_10119_876_3_608paper.pdf https://dspace.jaist.ac.jp/dspace/bitstream/10119/876/3/608paper.pdf
ito:2003:SRCWCEBGP Simple Robots in a Complex World: Collaborative Exploration Behavior using Genetic Programming
KeithIto.html
http___www.genetic-programming.org_sp2003_Ito.pdf http://www.genetic-programming.org/sp2003/Ito.pdf
conf/icaart/ItoTI14 Experiments Assessing Learning of Agent Behavior using Genetic Programming with Multiple Trees
TakashiIto.html
Ken-ichiTakahashi.html
MichimasaInaba.html
http___dx.doi.org_10.5220_0004751402640271 http://dx.doi.org/10.5220/0004751402640271
journals/jcp/ItoTI16 Extension of Genetic Programming with Multiple Trees for Agent Learning
TakashiIto.html
Ken-ichiTakahashi.html
MichimasaInaba.html
http___www.jcomputers.us_index.php_m_content_amp_c_index_amp_a_show_amp_catid_179_amp_id_2649 http://www.jcomputers.us/index.php?m=content&c=index&a=show&catid=179&id=2649
http___www.jcomputers.us_vol11_jcp1104-07.pdf http://www.jcomputers.us/vol11/jcp1104-07.pdf
http___dx.doi.org_10.17706_jcp.11.4.329-340 http://dx.doi.org/10.17706/jcp.11.4.329-340
Ito:2016:PCS Obtaining Repetitive Actions for Genetic Programming with Multiple Trees
TakashiIto.html
Ken-ichiTakahashi.html
MichimasaInaba.html
http___dx.doi.org_10.1016_j.procs.2016.08.111 http://dx.doi.org/10.1016/j.procs.2016.08.111
http___www.sciencedirect.com_science_article_pii_S1877050916319123 http://www.sciencedirect.com/science/article/pii/S1877050916319123
Ito:2021:IMCOM Search Method of Number of Trees for Genetic Programming with Multiple Trees
TakashiIto.html
http___dx.doi.org_10.1109_IMCOM51814.2021.9377427 http://dx.doi.org/10.1109/IMCOM51814.2021.9377427
Ito:2023:IMCOM Improved Evolution Performance for Genetic Programming with Method to Search Numbers of Trees
TakashiIto.html
http___dx.doi.org_10.1109_IMCOM56909.2023.10035600 http://dx.doi.org/10.1109/IMCOM56909.2023.10035600
Ito:2021:GCCE Evaluating Partial Correctness of Programs in Automated Program Repair
YusakuIto.html
HironoriWashizaki.html
KazunoriSakamoto.html
YoshiakiFukazawa.html
http___dx.doi.org_10.1109_GCCE53005.2021.9621861 http://dx.doi.org/10.1109/GCCE53005.2021.9621861
ivan:1998:aplspGP Automatic Parallelization of Loops in Sequential Programs using Genetic Programming
LaurIvan.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_gp1998_ryan_1998_aplspGP.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/gp1998/ryan_1998_aplspGP.pdf
Ivanchik:2023:CEC Directed differential equation discovery using modified mutation and cross-over operators
ElizavetaIvanchik.html
AlexanderAHvatov.html
https___human-competitive.org_sites_default_files_entry_hvatov.txt https://human-competitive.org/sites/default/files/entry_hvatov.txt
https___human-competitive.org_sites_default_files_directed_differential_equation_discovery_using_modified_mutation_and_cross-over_operators.pdf https://human-competitive.org/sites/default/files/directed_differential_equation_discovery_using_modified_mutation_and_cross-over_operators.pdf
http___dx.doi.org_10.1109_CEC53210.2023.10254047 http://dx.doi.org/10.1109/CEC53210.2023.10254047
https___github.com_ITMO-NSS-team_CEC_2023_knowledge https://github.com/ITMO-NSS-team/CEC_2023_knowledge
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EeroIvask.html
https___digikogu.taltech.ee_en_Download_e1d292d3-a351-49f1-bee4-abd9ec1fd7b7 https://digikogu.taltech.ee/en/Download/e1d292d3-a351-49f1-bee4-abd9ec1fd7b7
https___digikogu.taltech.ee_en_Item_501c2593-1799-4946-a5f6-fa6a569fe80c https://digikogu.taltech.ee/en/Item/501c2593-1799-4946-a5f6-fa6a569fe80c
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Ivert:2015:CEC Feature Selection and Classification Using Ensembles of Genetic Programs and Within-class and Between-class Permutations
AnnicaIvert.html
ClausdeCastroAranha.html
HitoshiIba.html
http___dx.doi.org_10.1109_CEC.2015.7257015 http://dx.doi.org/10.1109/CEC.2015.7257015
iwashita:2002:imgwiaadc Island Model GP with Immigrants Aging and Depth-Dependent Crossover
MakotoIwashita.html
HitoshiIba.html
http___dx.doi.org_10.1109_CEC.2002.1006245 http://dx.doi.org/10.1109/CEC.2002.1006245
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AshkanIzadi.html
VictorCiesielski.html
http___dx.doi.org_10.1109_ICCSIT.2010.5563645 http://dx.doi.org/10.1109/ICCSIT.2010.5563645
IZADI:2021:PT Combining 10 meta-heuristic algorithms, CFD, DOE, MGGP and PROMETHEE II for optimizing Stairmand cyclone separator
MohammadIzadiKhaleghAbadii.html
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AliMohebbi.html
http___dx.doi.org_10.1016_j.powtec.2020.12.056 http://dx.doi.org/10.1016/j.powtec.2020.12.056
https___www.sciencedirect.com_science_article_pii_S0032591020312237 https://www.sciencedirect.com/science/article/pii/S0032591020312237
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MojtabaIzadmehr.html
RezaShams.html
MohammadHosseinGhazanfari.html
http___www.sciencedirect.com_science_article_pii_S1875510016300713 http://www.sciencedirect.com/science/article/pii/S1875510016300713
http___dx.doi.org_10.1016_j.jngse.2016.02.026 http://dx.doi.org/10.1016/j.jngse.2016.02.026
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NimaIzadyar.html
HwaiChyuanOng.html
ShahaboddinShamshirband.html
HosseinGhadamian.html
ChongWenTong.html
http___dx.doi.org_10.1016_j.enbuild.2015.07.006 http://dx.doi.org/10.1016/j.enbuild.2015.07.006
http___www.sciencedirect.com_science_article_pii_S0378778815301225 http://www.sciencedirect.com/science/article/pii/S0378778815301225
Izadyar:2015:Energy Appraisal of the support vector machine to forecast residential heating demand for the District Heating System based on the monthly overall natural gas consumption
NimaIzadyar.html
HosseinGhadamian.html
HwaiChyuanOng.html
Zeinabmoghadam.html
ChongWenTong.html
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http___dx.doi.org_10.1016_j.energy.2015.10.015 http://dx.doi.org/10.1016/j.energy.2015.10.015
http___www.sciencedirect.com_science_article_pii_S0360544215013791 http://www.sciencedirect.com/science/article/pii/S0360544215013791
Izumi:2006:CEC Trading Rules on the Stock Markets using Genetic Network Programming with Candlestick Chart
YoshihiroIzumi.html
TokiyoYamaguchi.html
ShingoMabu.html
KotaroHirasawa.html
JingluHu.html
http___dx.doi.org_10.1109_CEC.2006.1688600 http://dx.doi.org/10.1109/CEC.2006.1688600
Izzo:2017:EuroGP Differentiable Genetic Programming
DarioIzzo.html
FrancescoBiscani.html
AlessioMereta.html
https___arxiv.org_abs_1611.04766 https://arxiv.org/abs/1611.04766
http___dx.doi.org_10.1007_978-3-319-55696-3_3 http://dx.doi.org/10.1007/978-3-319-55696-3_3
https___darioizzo.github.io_dcgp_ https://darioizzo.github.io/dcgp/
DBLP:journals/jossw/IzzoB20 dcgp: Differentiable Cartesian Genetic Programming made easy
DarioIzzo.html
FrancescoBiscani.html
https___doi.org_10.21105_joss.02290 https://doi.org/10.21105/joss.02290
http___dx.doi.org_10.21105_joss.02290 http://dx.doi.org/10.21105/joss.02290
https___dblp.org_rec_journals_jossw_IzzoB20.bib https://dblp.org/rec/journals/jossw/IzzoB20.bib
Jabeen:2010:ICICA Energy Based Coefficient Selection for Digital Watermarking in Wavelet Domain
FauziaJabeen.html
ZahoorJan.html
ArfanJaffar.html
AnwarMMirza.html
http___dx.doi.org_10.1007_978-3-642-16339-5_34 http://dx.doi.org/10.1007/978-3-642-16339-5_34
Jabeen:2013:IJICA Energy-Based Coefficient Selection for Digital Watermarking in Wavelet Domain
FauziaJabeen.html
ZahoorJan.html
FarhanaJahangir.html
http___dx.doi.org_10.1504_IJICA.2013.052352 http://dx.doi.org/10.1504/IJICA.2013.052352
Jabeen:2010:IJEST Review of Classification Using Genetic Programming
HajiraJabeen.html
AbdulRaufBaig.html
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DBLP:conf/nicso/JabeenB10 Particle Swarm Optimization Based Tuning of Genetic Programming Evolved Classifier Expressions
HajiraJabeen.html
AbdulRaufBaig.html
http___dx.doi.org_10.1007_978-3-642-12538-6_32 http://dx.doi.org/10.1007/978-3-642-12538-6_32
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HajiraJabeen.html
AbdulRaufBaig.html
http___dx.doi.org_10.1007_978-3-642-15387-7_10 http://dx.doi.org/10.1007/978-3-642-15387-7_10
conf/hais/JabeenB10 A Framework for Optimization of Genetic Programming Evolved Classifier Expressions Using Particle Swarm Optimization
HajiraJabeen.html
AbdulRaufBaig.html
http___link.springer.com_chapter_10.1007_2F978-3-642-13769-3_7 http://link.springer.com/chapter/10.1007%2F978-3-642-13769-3_7
http___dx.doi.org_10.1007_978-3-642-13769-3_7 http://dx.doi.org/10.1007/978-3-642-13769-3_7
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HajiraJabeen.html
AbdulRaufBaig.html
http___dx.doi.org_10.1007_978-3-642-25944-9_23 http://dx.doi.org/10.1007/978-3-642-25944-9_23
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HajiraJabeen.html
AbdulRaufBaig.html
http___www.sciencedirect.com_science_article_B6VDC-51FWRJY-1_2_813b60cff35fd1e0399e95fb3fa246be http://www.sciencedirect.com/science/article/B6VDC-51FWRJY-1/2/813b60cff35fd1e0399e95fb3fa246be
http___dx.doi.org_10.1016_j.chb.2010.10.011 http://dx.doi.org/10.1016/j.chb.2010.10.011
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HajiraJabeen.html
AbdulRaufBaig.html
http___dx.doi.org_10.1016_j.asoc.2011.08.029 http://dx.doi.org/10.1016/j.asoc.2011.08.029
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Jabeen:2012:ijicic GPSO: A Framework for Optimization of Genetic Programming Classifier Expressions for Binary Classification Using Particle Swarm Optimization
HajiraJabeen.html
AbdulRaufBaig.html
http___www.ijicic.org_ijicic-10-06097.pdf http://www.ijicic.org/ijicic-10-06097.pdf
Jabeen:2013:Neurocomputing Two-stage learning for multi-class classification using genetic programming
HajiraJabeen.html
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http___dx.doi.org_10.1016_j.neucom.2012.01.048 http://dx.doi.org/10.1016/j.neucom.2012.01.048
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http___www.sciencedirect.com_science_article_pii_S0925231212007308 http://www.sciencedirect.com/science/article/pii/S0925231212007308
http___dx.doi.org_10.1016_j.neucom.2012.01.048 http://dx.doi.org/10.1016/j.neucom.2012.01.048
Jabeen:2020:CEC AutoChef: Automated Generation of Cooking Recipes
HajiraJabeen.html
JonasWeinz.html
JensLehmann.html
http___vigir.missouri.edu__gdesouza_Research_Conference_CDs_IEEE_WCCI_2020_CEC_Papers_E-24487.pdf http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_WCCI_2020/CEC/Papers/E-24487.pdf
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http___www.human-competitive.org_sites_default_files_autochef-final.pdf http://www.human-competitive.org/sites/default/files/autochef-final.pdf
http___dx.doi.org_10.1109_CEC48606.2020.9185605 http://dx.doi.org/10.1109/CEC48606.2020.9185605
Jabez:2012:ICSEMA A study on genetic-fuzzy based automatic intrusion detection on network datasets
JJabez.html
GSAMala.html
http___dx.doi.org_10.1049_ic.2012.0135 http://dx.doi.org/10.1049/ic.2012.0135
jackson:2004:eurogp2 A Practical Approach to Evolving Concurrent Programs
DavidJackson.html
http___dx.doi.org_10.1007_978-3-540-24650-3_9 http://dx.doi.org/10.1007/978-3-540-24650-3_9
jackson:2004:eurogp Automatic Synthesis of Instruction Decode Logic by Genetic Programming
DavidJackson.html
http___dx.doi.org_10.1007_978-3-540-24650-3_30 http://dx.doi.org/10.1007/978-3-540-24650-3_30
eurogp:Jackson05 Evolving Defence Strategies by Genetic Programming
DavidJackson.html
http___dx.doi.org_10.1007_978-3-540-31989-4_25 http://dx.doi.org/10.1007/978-3-540-31989-4_25
http___dx.doi.org_10.1007_b107383 http://dx.doi.org/10.1007/b107383
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DavidJackson.html
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http___dx.doi.org_10.1145_1068009.1068291 http://dx.doi.org/10.1145/1068009.1068291
1068299 Dormant program nodes and the efficiency of genetic programming
DavidJackson.html
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http___dx.doi.org_10.1145_1068009.1068299 http://dx.doi.org/10.1145/1068009.1068299
jackson:2005:CEC Fitness Evaluation Avoidance in Boolean GP Problems
DavidJackson.html
http___dx.doi.org_10.1109_CEC.2005.1555011 http://dx.doi.org/10.1109/CEC.2005.1555011
Jackson:2005:TEC Evolution of Processor microcode
DavidJackson.html
http___dx.doi.org_10.1109_TEVC.2004.837922 http://dx.doi.org/10.1109/TEVC.2004.837922
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DavidJackson.html
AdrianPGibbons.html
http___dx.doi.org_10.1007_978-3-540-71605-1_14 http://dx.doi.org/10.1007/978-3-540-71605-1_14
1277280 Hierarchical genetic programming based on test input subsets
DavidJackson.html
http___gpbib.cs.ucl.ac.uk_gecco2007_docs_p1612.pdf http://gpbib.cs.ucl.ac.uk/gecco2007/docs/p1612.pdf
http___dx.doi.org_10.1145_1276958.1277280 http://dx.doi.org/10.1145/1276958.1277280
conf/eurogp/Jackson08a The Performance of a Selection Architecture for Genetic Programming
DavidJackson.html
http___dx.doi.org_10.1007_978-3-540-78671-9_15 http://dx.doi.org/10.1007/978-3-540-78671-9_15
conf/eurogp/Jackson08 Partitioned Incremental Evolution of Hardware Using Genetic Programming
DavidJackson.html
http___dx.doi.org_10.1007_978-3-540-78671-9_8 http://dx.doi.org/10.1007/978-3-540-78671-9_8
Jackson:2008:PPSN The Generalisation Ability of a Selection Architecture for Genetic Programming
DavidJackson.html
http___dx.doi.org_10.1007_978-3-540-87700-4_47 http://dx.doi.org/10.1007/978-3-540-87700-4_47
Jackson:2009:eurogp Behavioural Diversity and Filtering in GP Navigation Problems
DavidJackson.html
http___dx.doi.org_10.1007_978-3-642-01181-8_22 http://dx.doi.org/10.1007/978-3-642-01181-8_22
Jackson:2009:cec Self-Adaptive Focusing of Evolutionary Effort in Hierarchical Genetic Programming
DavidJackson.html
http___dx.doi.org_10.1109_CEC.2009.4983162 http://dx.doi.org/10.1109/CEC.2009.4983162
Jackson:2009:GPEM The identification and exploitation of dormancy in genetic programming
DavidJackson.html
http___dx.doi.org_10.1007_s10710-009-9086-1 http://dx.doi.org/10.1007/s10710-009-9086-1
Jackson:2010:EuroGP Phenotypic Diversity in Initial Genetic Programming Populations
DavidJackson.html
http___dx.doi.org_10.1007_978-3-642-12148-7_9 http://dx.doi.org/10.1007/978-3-642-12148-7_9
Jackson:2010:PPSN Promoting Phenotypic Diversity in Genetic Programming
DavidJackson.html
http___dx.doi.org_10.1007_978-3-642-15871-1_48 http://dx.doi.org/10.1007/978-3-642-15871-1_48
Jackson:2011:GECCO Mutation as a diversity enhancing mechanism in genetic programming
DavidJackson.html
http___dx.doi.org_10.1145_2001576.2001761 http://dx.doi.org/10.1145/2001576.2001761
jackson:2012:EuroGP A New, Node-Focused Model for Genetic Programming
DavidJackson.html
http___dx.doi.org_10.1007_978-3-642-29139-5_5 http://dx.doi.org/10.1007/978-3-642-29139-5_5
conf/ppsn/Jackson12 Single Node Genetic Programming on Problems with Side Effects
DavidJackson.html
http___dx.doi.org_10.1007_978-3-642-32937-1_33 http://dx.doi.org/10.1007/978-3-642-32937-1_33
Jackson:2018:CIBCB On the generalizability of linear and non-linear region of interest-based multivariate regression models for fMRI data
EthanCharlesJackson.html
amesAlexanderHughes.html
MarkDaley.html
http___dx.doi.org_10.1109_CIBCB.2018.8404973 http://dx.doi.org/10.1109/CIBCB.2018.8404973
Jackson:thesis Algebraic Neural Architecture Representation, Evolutionary Neural Architecture Search, and Novelty Search in Deep Reinforcement Learning
EthanCharlesJackson.html
https___ir.lib.uwo.ca_etd_6510 https://ir.lib.uwo.ca/etd/6510
jackson:2001:CES Toward a Symbiotic Coevolutionary Approach to Architecture
HelenJackson.html
http___dx.doi.org_10.1016_B978-155860673-9_50049-5 http://dx.doi.org/10.1016/B978-155860673-9/50049-5
http___www.sciencedirect.com_science_article_B85XH-4P615HB-Y_2_e89b8cfc99c3d25e0cb0177455fa539c http://www.sciencedirect.com/science/article/B85XH-4P615HB-Y/2/e89b8cfc99c3d25e0cb0177455fa539c
Jackson:2020:CEC Genetic Programming Hyper-heuristic with Cluster Awareness for Stochastic Team Orienteering Problem with Time Windows
JerichoJackson.html
YiMei.html
http___dx.doi.org_10.1109_CEC48606.2020.9185911 http://dx.doi.org/10.1109/CEC48606.2020.9185911
jacob:1994:glp Genetic L-System Programming
ChristianJacob.html
http___www2.informatik.uni-erlangen.de_IMMD-II_Persons_jacob_Publications_GeneticLSystemProgramming.ps.gz http://www2.informatik.uni-erlangen.de/IMMD-II/Persons/jacob/Publications/GeneticLSystemProgramming.ps.gz
http___dx.doi.org_10.1007_3-540-58484-6_277 http://dx.doi.org/10.1007/3-540-58484-6_277
jacob:1996:GPls Evolving Evolution Programs: Genetic Programming and L-Systems
ChristianJacob.html
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http___cognet.mit.edu_library_books_view_isbn_0262611279 http://cognet.mit.edu/library/books/view?isbn=0262611279
jacob:1996:epe Evolution Programs Evolved
ChristianJacob.html
http___pages.cpsc.ucalgary.ca__jacob_Publications_PPSN-96-EvolutionPrograms.pdf http://pages.cpsc.ucalgary.ca/~jacob/Publications/PPSN-96-EvolutionPrograms.pdf
http___dx.doi.org_10.1007_3-540-61723-X_968 http://dx.doi.org/10.1007/3-540-61723-X_968
jacob:thesis MathEvolvica - Simulated Evolution of Development Programs in Nature
ChristianJacob.html
http___katalog.tub.tu-harburg.de_Record_191683663 http://katalog.tub.tu-harburg.de/Record/191683663
jacob:1997:deutsch Principia Evolvica -- Simulierte Evolution mit Mathematica
ChristianJacob.html
http___www.amazon.de_Principia-Evolvica-Simulierte-Evolution-Mathematica_dp_3920993489 http://www.amazon.de/Principia-Evolvica-Simulierte-Evolution-Mathematica/dp/3920993489
http___library.wolfram.com_infocenter_TechNotes_282_ http://library.wolfram.com/infocenter/TechNotes/282/
jacob:1999:L Lindenmayer systems and growth program evolution
ChristianJacob.html
jacob:1999:CPC Computer Physics Communications
ChristianJacob.html
http___dx.doi.org_10.1016_S0010-4655_99_00277-5 http://dx.doi.org/10.1016/S0010-4655(99)00277-5
jacob:2001:iecm Illustrating Evolutionary Computation with Mathematica
ChristianJacob.html
http___www.amazon.com_Illustrating-Evolutionary-Computation-Mathematica-Intelligence_dp_1558606378_ref_sr_1_1_ie_UTF8_s_books_qid_1266160160_sr_1-1 http://www.amazon.com/Illustrating-Evolutionary-Computation-Mathematica-Intelligence/dp/1558606378/ref=sr_1_1?ie=UTF8&s=books&qid=1266160160&sr=1-1
http___dx.doi.org_10.1016_B978-155860637-1_50020-5 http://dx.doi.org/10.1016/B978-155860637-1/50020-5
http___dx.doi.org_10.1016_B978-155860637-1_50021-7 http://dx.doi.org/10.1016/B978-155860637-1/50021-7
jacob:2000:IS The art of genetic programming
ChristianJacob.html
http___ieeexplore.ieee.org_iel5_5254_18363_00846288.pdf http://ieeexplore.ieee.org/iel5/5254/18363/00846288.pdf
http___dx.doi.org_10.1109_5254.846288 http://dx.doi.org/10.1109/5254.846288
jacob:2005:GPTP Genetic Programming inside a Cell
ChristianJacob.html
IanBurleigh.html
http___dx.doi.org_10.1007_0-387-28111-8_13 http://dx.doi.org/10.1007/0-387-28111-8_13
jacobsen-grocott:2017:CEC Evolving heuristics for Dynamic Vehicle Routing with Time Windows using genetic programming
JosiahJacobsen-Grocott.html
YiMei.html
AaronChen.html
MengjieZhang.html
https___homepages.ecs.vuw.ac.nz__yimei_papers_CEC17-Josiah.pdf https://homepages.ecs.vuw.ac.nz/~yimei/papers/CEC17-Josiah.pdf
http___dx.doi.org_10.1109_CEC.2017.7969539 http://dx.doi.org/10.1109/CEC.2017.7969539
Jaewuk:2014:HIC Application Of Data Mining For Reverse Osmosis Process In Seawater Desalination
KooJaewuk.html
ShinYonghyun.html
SanghoLee.html
JuneseokChoi.html
http___academicworks.cuny.edu_cc_conf_hic_443_ http://academicworks.cuny.edu/cc_conf_hic/443/
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jafari:2020:NRR Improved Water Quality Prediction with Hybrid Wavelet-Genetic Programming Model and Shannon Entropy
HamidehJafari.html
TaherRajaee.html
OzgurKisi.html
http___link.springer.com_article_10.1007_s11053-020-09702-7 http://link.springer.com/article/10.1007/s11053-020-09702-7
http___dx.doi.org_10.1007_s11053-020-09702-7 http://dx.doi.org/10.1007/s11053-020-09702-7
jafari:2018:JSST Prediction of hydroxyapatite crystallite size prepared by sol-gel route: gene expression programming approach
MehrdadMahdaviJafari.html
GholamRezaKhayati.html
http___link.springer.com_article_10.1007_s10971-018-4601-6 http://link.springer.com/article/10.1007/s10971-018-4601-6
http___dx.doi.org_10.1007_s10971-018-4601-6 http://dx.doi.org/10.1007/s10971-018-4601-6
Jafarian20101523 Empirical predictive model for the (v max)/(a max) ratio of strong ground motions using genetic programming
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ElnazKermani.html
MohammadHassanBaziar.html
http___dx.doi.org_10.1016_j.cageo.2010.07.002 http://dx.doi.org/10.1016/j.cageo.2010.07.002
http___www.sciencedirect.com_science_article_B6V7D-517YN79-1_2_f812ef6b3ddb0cdd20c12efbec9c4b09 http://www.sciencedirect.com/science/article/B6V7D-517YN79-1/2/f812ef6b3ddb0cdd20c12efbec9c4b09
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RomualdJagielski.html
JohnSGero.html
http___people.arch.usyd.edu.au__john_publications_1997_97JagielskiGeroCAADFutur.pdf http://people.arch.usyd.edu.au/~john/publications/1997/97JagielskiGeroCAADFutur.pdf
http___citeseer.ist.psu.edu_315959.html http://citeseer.ist.psu.edu/315959.html
Jagielski:2000:GPP Genetic Programming Prediction of Solar Activity
RomualdJagielski.html
http___dx.doi.org_10.1007_3-540-44491-2_30 http://dx.doi.org/10.1007/3-540-44491-2_30
Jahan:2020:ACSOS-C Extending Context Awareness by Anticipating Uncertainty with Enki and Darjeeling
SharminJahan.html
IanRiley.html
CharlesWalter.html
RoseFGamble.html
http___dx.doi.org_10.1109_ACSOS-C51401.2020.00051 http://dx.doi.org/10.1109/ACSOS-C51401.2020.00051
Jain:2008:OOEJ Artificial Intelligence Tools to Forecast Ocean Waves in Real Time
PoojaJain.html
MCDeo.html
http___dx.doi.org_10.2174_1874835X00801010013 http://dx.doi.org/10.2174/1874835X00801010013
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PoojaJain.html
MCDeo.html
GLatha.html
VRajendran.html
http___dx.doi.org_10.1016_j.ocemod.2010.07.006 http://dx.doi.org/10.1016/j.ocemod.2010.07.006
http___www.sciencedirect.com_science_article_B6VPS-50XCY8V-1_2_535abd8afbb53832e8278b7eaf4d3932 http://www.sciencedirect.com/science/article/B6VPS-50XCY8V-1/2/535abd8afbb53832e8278b7eaf4d3932
jaiswal:2017:CEC Coevolution of mapping functions for linear SVM
SatishKumarJaiswal.html
HitoshiIba.html
http___dx.doi.org_10.1109_CEC.2017.7969574 http://dx.doi.org/10.1109/CEC.2017.7969574
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AdesojiTunbosunJaiyeola.html
http___www.wseas.us_e-library_conferences_2015_Michigan_LENFI_LENFI-18.pdf http://www.wseas.us/e-library/conferences/2015/Michigan/LENFI/LENFI-18.pdf
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AdesojiTunbosunJaiyeola.html
http___hdl.handle.net_10321_1495 http://hdl.handle.net/10321/1495
http___ir.dut.ac.za_bitstream_handle_10321_1495_JAIYEOLA_2016.pdf http://ir.dut.ac.za/bitstream/handle/10321/1495/JAIYEOLA_2016.pdf
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KristijanJaklinovic.html
MarkoDurasevic.html
DomagojJakobovic.html
http___dx.doi.org_10.1016_j.eswa.2020.114548 http://dx.doi.org/10.1016/j.eswa.2020.114548
https___www.sciencedirect.com_science_article_pii_S0957417420311921 https://www.sciencedirect.com/science/article/pii/S0957417420311921
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DomagojJakobovic.html
https___dr.nsk.hr_en_islandora_object_fer_3A5430 https://dr.nsk.hr/en/islandora/object/fer%3A5430
https___urn.nsk.hr_urn_nbn_hr_168_435819 https://urn.nsk.hr/urn:nbn:hr:168:435819
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DomagojJakobovic.html
LeoBudin.html
http___www.zemris.fer.hr__yeti_download_EuroGP_2006.pdf http://www.zemris.fer.hr/~yeti/download/EuroGP_2006.pdf
http___dx.doi.org_10.1007_11729976_7 http://dx.doi.org/10.1007/11729976_7
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DomagojJakobovic.html
LeonardoJelenkovic.html
LeoBudin.html
http___dx.doi.org_10.1007_978-3-540-71605-1_30 http://dx.doi.org/10.1007/978-3-540-71605-1_30
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DomagojJakobovic.html
LucaManzoni.html
LucaMariot.html
StjepanPicek.html
https___arxiv.org_abs_2004.11300 https://arxiv.org/abs/2004.11300
https___dblp.org_rec_journals_corr_abs-2004-11300.bib https://dblp.org/rec/journals/corr/abs-2004-11300.bib
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DomagojJakobovic.html
KristinaMarasovic.html
http___dx.doi.org_10.1016_j.asoc.2012.03.065 http://dx.doi.org/10.1016/j.asoc.2012.03.065
http___www.sciencedirect.com_science_article_pii_S1568494612001780 http://www.sciencedirect.com/science/article/pii/S1568494612001780
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DomagojJakobovic.html
LucaManzoni.html
LucaMariot.html
StjepanPicek.html
MauroCastelli.html
http___www.human-competitive.org_sites_default_files_mariot_0.txt http://www.human-competitive.org/sites/default/files/mariot_0.txt
http___www.human-competitive.org_sites_default_files_jmmpc_coingp.pdf http://www.human-competitive.org/sites/default/files/jmmpc_coingp.pdf
http___dx.doi.org_10.1145_3449639.3459346 http://dx.doi.org/10.1145/3449639.3459346
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DomagojJakobovic.html
EricMedvet.html
GiseleLPappa.html
LeonardoTrujillo.html
https___rdcu.be_dtbUn https://rdcu.be/dtbUn
http___dx.doi.org_10.1007_s10710-023-09475-x http://dx.doi.org/10.1007/s10710-023-09475-x
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MartinJakubeci.html
MichalGregus.html
http___link.springer.com_chapter_10.1007_978-3-319-28725-6_14 http://link.springer.com/chapter/10.1007/978-3-319-28725-6_14
http___dx.doi.org_10.1007_978-3-319-28725-6_14 http://dx.doi.org/10.1007/978-3-319-28725-6_14
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MartinJakubik.html
PeterPocta.html
http___dx.doi.org_10.1109_ICETA51985.2020.9379251 http://dx.doi.org/10.1109/ICETA51985.2020.9379251
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MartinJakubik.html
PeterPocta.html
http___dx.doi.org_10.1109_RADIOELEKTRONIKA52220.2021.9420201 http://dx.doi.org/10.1109/RADIOELEKTRONIKA52220.2021.9420201
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HelsonLJakubovskiFilho.html
JacksonAPradoLima.html
SilviaReginaVergilio.html
http___dx.doi.org_10.1145_3131151.3131152 http://dx.doi.org/10.1145/3131151.3131152
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FazalEJalal.html
YongfuXu.html
MudassirIqbal.html
BabakJamhiri.html
MuhammadFaisalJaved.html
http___dx.doi.org_10.1016_j.trgeo.2021.100608 http://dx.doi.org/10.1016/j.trgeo.2021.100608
https___www.sciencedirect.com_science_article_pii_S2214391221000982 https://www.sciencedirect.com/science/article/pii/S2214391221000982
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MostafaJalal.html
AliAkbarRamezanianpour.html
AliRPouladkhan.html
PaymanTedro.html
http___dx.doi.org_10.1007_s00521-012-0941-2 http://dx.doi.org/10.1007/s00521-012-0941-2
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MostafaJalal.html
ZacharyGrasley.html
CharlesGurganus.html
JeffreyWBullard.html
http___dx.doi.org_10.1016_j.conbuildmat.2020.119478 http://dx.doi.org/10.1016/j.conbuildmat.2020.119478
http___www.sciencedirect.com_science_article_pii_S0950061820314835 http://www.sciencedirect.com/science/article/pii/S0950061820314835
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MostafaJalal.html
AliAkbarRamezanianpour.html
AliRPouladkhan.html
PaymanTedro.html
http___link.springer.com_article_10.1007_s00521-021-06174-5 http://link.springer.com/article/10.1007/s00521-021-06174-5
http___dx.doi.org_10.1007_s00521-021-06174-5 http://dx.doi.org/10.1007/s00521-021-06174-5
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SeyedKamalJalali.html
MJBeigrezaee.html
SajadHayati.html
http___dx.doi.org_10.1016_j.spmi.2019.01.023 http://dx.doi.org/10.1016/j.spmi.2019.01.023
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SeyedMohammadJafarJalali.html
AbbasKhosravi.html
RoohallahAlizadehsani.html
SyedMoshfeqSalaken.html
ParhamMohsenzadehKebria.html
RishiPuri.html
SaeidNahavandi.html
http___dx.doi.org_10.1109_ICIT.2019.8755107 http://dx.doi.org/10.1109/ICIT.2019.8755107
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MohammedJaloun.html
ZouhairGuennoun.html
AdnaneElasri.html
http___airccse.org_journal_jwmn_0611wmn04.pdf http://airccse.org/journal/jwmn/0611wmn04.pdf
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.208.5126 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.208.5126
http___dx.doi.org_10.5121_ijwmn.2011.3304 http://dx.doi.org/10.5121/ijwmn.2011.3304
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AliJamali.html
EsmaeelKhaleghi_.html
ImanGholaminezhad.html
NaderNariman-Zadeh.html
http___dx.doi.org_10.1080_00207721.2014.945983 http://dx.doi.org/10.1080/00207721.2014.945983
journals/jim/JamaliKGNGJ17 Multi-objective genetic programming approach for robust modeling of complex manufacturing processes having probabilistic uncertainty in experimental data
AliJamali.html
EsmaeelKhaleghi_.html
ImanGholaminezhad.html
NaderNariman-Zadeh.html
BGholaminia.html
AJamal-Omidi.html
http___dx.doi.org_10.1007_s10845-014-0967-7 http://dx.doi.org/10.1007/s10845-014-0967-7
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ShahramJamali.html
AminBadirzadeh.html
MinaSoltaniSiapoush.html
http___dx.doi.org_10.1016_j.dcan.2019.10.002 http://dx.doi.org/10.1016/j.dcan.2019.10.002
http___www.sciencedirect.com_science_article_pii_S235286481830261X http://www.sciencedirect.com/science/article/pii/S235286481830261X
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MehdiJamei.html
RashidPourrajab.html
ImanAhmadianfar.html
AminrezaNoghrehabadi.html
http___dx.doi.org_10.1016_j.icheatmasstransfer.2020.104624 http://dx.doi.org/10.1016/j.icheatmasstransfer.2020.104624
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MehdiJamei.html
ImanAhmadianfar.html
http___dx.doi.org_10.1016_j.physa.2020.124827 http://dx.doi.org/10.1016/j.physa.2020.124827
http___www.sciencedirect.com_science_article_pii_S0378437120304283 http://www.sciencedirect.com/science/article/pii/S0378437120304283
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MehdiJamei.html
ImanAhmadianfar.html
XuefengChu.html
ZaherMundherYaseen.html
http___dx.doi.org_10.1016_j.jhydrol.2020.125335 http://dx.doi.org/10.1016/j.jhydrol.2020.125335
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MehdiJamei.html
IsmailAdewaleOlumegbon.html
MasoudKarbasi.html
ImanAhmadianfar.html
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MehdiMosharaf-Dehkordi.html
http___dx.doi.org_10.1016_j.ijheatmasstransfer.2021.121159 http://dx.doi.org/10.1016/j.ijheatmasstransfer.2021.121159
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MumtazAli.html
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EktaSharma.html
MozhdehJamei.html
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ZaherMundherYaseen.html
http___dx.doi.org_10.1016_j.engappai.2023.105895 http://dx.doi.org/10.1016/j.engappai.2023.105895
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ImanAhmadianfar.html
ZaherMundherYaseen.html
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MehdiJamei.html
AhmedSalihMohammed.html
ImanAhmadianfar.html
MohanadMuayadSabriSabri.html
MasoudKarbasi.html
MahdiHasanipanah.html
https___www.mdpi.com_2076-3417_12_14_7101 https://www.mdpi.com/2076-3417/12/14/7101
http___dx.doi.org_10.3390_app12147101 http://dx.doi.org/10.3390/app12147101
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SaeedJamiolahmadi.html
AhmadBarari.html
http___dx.doi.org_10.1016_j.ifacol.2015.06.437 http://dx.doi.org/10.1016/j.ifacol.2015.06.437
http___www.sciencedirect.com_science_article_pii_S240589631500676X http://www.sciencedirect.com/science/article/pii/S240589631500676X
Jamiolahmadi:2016:Measurement Study of detailed deviation zone considering coordinate metrology uncertainty
SaeedJamiolahmadi.html
AhmadBarari.html
http___dx.doi.org_10.1016_j.measurement.2016.12.032 http://dx.doi.org/10.1016/j.measurement.2016.12.032
http___www.sciencedirect.com_science_article_pii_S0263224116307308 http://www.sciencedirect.com/science/article/pii/S0263224116307308
Jamshidi:2001:AMC Autonomous control of complex systems: robotic applications
MohammadJamshidi.html
http___www.sciencedirect.com_science_article_B6TY8-42RVSF8-3_1_d9087f02589b85a2c6ef556307f7c0a8 http://www.sciencedirect.com/science/article/B6TY8-42RVSF8-3/1/d9087f02589b85a2c6ef556307f7c0a8
http___dx.doi.org_10.1016_S0096-3003_99_00285-4 http://dx.doi.org/10.1016/S0096-3003(99)00285-4
Jamshidi:2002:rcsGA Robust Control Systems with Genetic Algorithms
MohammadJamshidi.html
RenatoAKrohling.html
LeandrodosSantosCoelho.html
PeterJFleming.html
http___www.routledge.com_books_details_9780849312519_ http://www.routledge.com/books/details/9780849312519/
Jan:2010:ICET Watermarking scheme based on wavelet transform, genetic programming and Watson perceptual distortion control model for JPEG2000
ZahoorJan.html
ArfanJaffar.html
FauziaJabeen.html
AzharRauf.html
http___dx.doi.org_10.1109_ICET.2010.5638368 http://dx.doi.org/10.1109/ICET.2010.5638368
Jan:thesis Intelligent Image Watermarking using Genetic Programming
ZahoorJan.html
http___eprints.hec.gov.pk_7540_1_1016S.htm http://eprints.hec.gov.pk/7540/1/1016S.htm
http___prr.hec.gov.pk_Thesis_1016S.pdf http://prr.hec.gov.pk/Thesis/1016S.pdf
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AdrianGenevieGalemaJanairo.html
JonahJaharaGarciaBaun.html
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R-JayRelano.html
KateFrancisco.html
MikeLouieEnriquez.html
ArgelABandala.html
RyanRhayPVicerra.html
MelchizedekAlipio.html
ElmerJosePDadios.html
http___dx.doi.org_10.1109_IEMTRONICS55184.2022.9795789 http://dx.doi.org/10.1109/IEMTRONICS55184.2022.9795789
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AdrianGenevieGalemaJanairo.html
JonahJaharaGarciaBaun.html
JohndelGarrisonChan.html
JosephAristotleRDeLeon.html
RonnieSConcepcionII.html
RyanRhayPVicerra.html
ArgelABandala.html
ElmerJosePDadios.html
https___doi.org_10.20965_jaciii.2023.p0019 https://doi.org/10.20965/jaciii.2023.p0019
http___dx.doi.org_10.20965_jaciii.2023.p0019 http://dx.doi.org/10.20965/jaciii.2023.p0019
https___dblp.org_rec_journals_jaciii_JanairoBCLCVBD23.bib https://dblp.org/rec/journals/jaciii/JanairoBCLCVBD23.bib
Janeiro:2013:ieeeTIM Gene Expression Programming in Sensor Characterization: Numerical Results and Experimental Validation
FernandoMJaneiro.html
JoseSantos.html
PedroMiguelPintoRamos.html
http___dx.doi.org_10.1109_TIM.2012.2224275 http://dx.doi.org/10.1109/TIM.2012.2224275
Jang:2006:ASPGP Automated construction of diagnosis rules from DNA samples
Ha-YoungJang.html
Byoung-TakZhang.html
http___gpbib.cs.ucl.ac.uk_aspgp06_ASPGP06_Jang_revised.pdf http://gpbib.cs.ucl.ac.uk/aspgp06/ASPGP06_Jang_revised.pdf
JANIGA:2018:Fuel Huff and puff process optimization in micro scale by coupling laboratory experiment and numerical simulation
DamianJaniga.html
RobertCzarnota.html
JerzyStopa.html
PaweWojnarowski.html
http___dx.doi.org_10.1016_j.fuel.2018.03.085 http://dx.doi.org/10.1016/j.fuel.2018.03.085
http___www.sciencedirect.com_science_article_pii_S0016236118304940 http://www.sciencedirect.com/science/article/pii/S0016236118304940
janikow:1996:CGP A Methodology for Processing Problem Constraints in Genetic Programming
CezaryZJanikow.html
http___www.cs.umsl.edu__janikow_psdocs_cgp.CMwA.ps http://www.cs.umsl.edu/~janikow/psdocs/cgp.CMwA.ps
http___citeseer.ist.psu.edu_326996.html http://citeseer.ist.psu.edu/326996.html
http___dx.doi.org_10.1016_0898-1221_96_00170-8 http://dx.doi.org/10.1016/0898-1221(96)00170-8
janikow:1998:pcCGP2.1 Processing Constraints in Genetic Programming with CGP2.1
CezaryZJanikow.html
ScottDeWeese.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_gp1998_janikow_1998_pcCGP2.1.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/gp1998/janikow_1998_pcCGP2.1.pdf
janikow:1999:C Constrained genetic programming
CezaryZJanikow.html
janikow:2003:ANNIE Adaptation of Representation in Genetic Programming
CezaryZJanikow.html
RahulADeshpande.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.585.5050 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.585.5050
http___www.cs.umsl.edu__janikow_publications_2003_Adaptation_20of_20Representation_20in_20Genetic_20Programming_ams2003.pdf http://www.cs.umsl.edu/~janikow/publications/2003/Adaptation%20of%20Representation%20in%20Genetic%20Programming/ams2003.pdf
janikow:2004:GPTP ACGP: Adaptable Constrained Genetic Programming
CezaryZJanikow.html
http___www.umsl.edu_cmpsci_about_People_Faculty_CezaryJanikow_untitled_20folder_ACGP.pdf http://www.umsl.edu/cmpsci/about/People/Faculty/CezaryJanikow/untitled%20folder/ACGP.pdf
http___dx.doi.org_10.1007_0-387-23254-0_12 http://dx.doi.org/10.1007/0-387-23254-0_12
janikow:ari:gecco2004 Adapting Representation in Genetic Programming
CezaryZJanikow.html
http___dx.doi.org_10.1007_b98645 http://dx.doi.org/10.1007/b98645
janikow:2004:mod:czjan ACGP is a new method to explore regularity
CezaryZJanikow.html
http___gpbib.cs.ucl.ac.uk_gecco2004_WMOD006.pdf http://gpbib.cs.ucl.ac.uk/gecco2004/WMOD006.pdf
janikow:2004:NASA Adaptable Constrained Genetic Programming: Extensions and Applications
CezaryZJanikow.html
http___hdl.handle.net_2060_20050202032 http://hdl.handle.net/2060/20050202032
https___ntrs.nasa.gov_api_citations_20050202032_downloads_20050202032.pdf https://ntrs.nasa.gov/api/citations/20050202032/downloads/20050202032.pdf
1068293 CGP visits the Santa Fe trail: effects of heuristics on GP
CezaryZJanikow.html
ChristopherJMann.html
http___gpbib.cs.ucl.ac.uk_gecco2005_docs_p1697.pdf http://gpbib.cs.ucl.ac.uk/gecco2005/docs/p1697.pdf
http___dx.doi.org_10.1145_1068009.1068293 http://dx.doi.org/10.1145/1068009.1068293
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janikow:gecco05ws Adaptable Representation in GP
CezaryZJanikow.html
http___gpbib.cs.ucl.ac.uk_gecco2005wks_papers_0327.pdf http://gpbib.cs.ucl.ac.uk/gecco2005wks/papers/0327.pdf
http___dx.doi.org_10.1145_1102256.1102329 http://dx.doi.org/10.1145/1102256.1102329
1274017 Evolving problem heuristics with on-line ACGP
CezaryZJanikow.html
http___gpbib.cs.ucl.ac.uk_gecco2007_docs_p2503.pdf http://gpbib.cs.ucl.ac.uk/gecco2007/docs/p2503.pdf
http___dx.doi.org_10.1145_1274000.1274017 http://dx.doi.org/10.1145/1274000.1274017
Janikow:2011:GECCOcomp Second order heuristics in ACGP
CezaryZJanikow.html
JohnAleshunas.html
MarkWHauschild.html
http___umsl.edu_cmpsci_about_People_Faculty_CezaryJanikow_folder_20two_secondorder.pdf http://umsl.edu/cmpsci/about/People/Faculty/CezaryJanikow/folder%20two/secondorder.pdf
http___dx.doi.org_10.1145_2001858.2002066 http://dx.doi.org/10.1145/2001858.2002066
Janikow:2013:CEC Impact of Commutative and Non-commutative Functions on Symbolic Regression with ACGP
CezaryZJanikow.html
JohnAleshunas.html
http___dx.doi.org_10.1109_CEC.2013.6557842 http://dx.doi.org/10.1109/CEC.2013.6557842
kinnear:jannink Cracking and Co-Evolving Randomizers
JanJannink.html
http___infolab.stanford.edu_pub_jannink_gp.ps http://infolab.stanford.edu/pub/jannink/gp.ps
http___www.amazon.co.uk_Advances-Genetic-Programming-Complex-Adaptive_dp_0262111888 http://www.amazon.co.uk/Advances-Genetic-Programming-Complex-Adaptive/dp/0262111888
http___cognet.mit.edu_sites_default_files_books_9780262277181_pdfs_9780262277181_chap20.pdf http://cognet.mit.edu/sites/default/files/books/9780262277181/pdfs/9780262277181_chap20.pdf
http___dx.doi.org_10.7551_mitpress_1108.003.0026 http://dx.doi.org/10.7551/mitpress/1108.003.0026
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HannahJanout.html
ThomasPaier.html
CarinaRingelhahn.html
MichaelHeckmann.html
AndreasHaghofer.html
GabrielKronberger.html
StephanMWinkler.html
http___dx.doi.org_10.1016_j.procs.2022.12.276 http://dx.doi.org/10.1016/j.procs.2022.12.276
https___www.sciencedirect.com_science_article_pii_S1877050922023547 https://www.sciencedirect.com/science/article/pii/S1877050922023547
Jansen:thesis Testing market imperfections via genetic programming
SebastianJansen.html
http___opus.ub.uni-hohenheim.de_volltexte_2011_588_ http://opus.ub.uni-hohenheim.de/volltexte/2011/588/
http___opus.ub.uni-hohenheim.de_volltexte_2011_588_pdf_Dissertation_Testing_Market_Imperfections_via_Genetic_Programming_Sebastian_Jansen.pdf http://opus.ub.uni-hohenheim.de/volltexte/2011/588/pdf/Dissertation_Testing_Market_Imperfections_via_Genetic_Programming_Sebastian_Jansen.pdf
Janssen:thesis Improvements in clinical prediction research
KristelJMJanssen.html
http___igitur-archive.library.uu.nl_dissertations_2007-1206-200929_full.pdf http://igitur-archive.library.uu.nl/dissertations/2007-1206-200929/full.pdf
https___hdl.handle.net_1874_24678 https://hdl.handle.net/1874/24678
Janssen2012404 Development and validation of clinical prediction models: Marginal differences between logistic regression, penalized maximum likelihood estimation, and genetic programming
KristelJMJanssen.html
IvarSiccama.html
YvonneVergouwe.html
HendrikKoffijberg.html
TPADebray.html
MaartenKeijzer.html
DiederickEGrobbee.html
KarelGMMoons.html
http___dx.doi.org_10.1016_j.jclinepi.2011.08.011 http://dx.doi.org/10.1016/j.jclinepi.2011.08.011
http___www.sciencedirect.com_science_article_pii_S0895435611002708 http://www.sciencedirect.com/science/article/pii/S0895435611002708
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DavidJapikse.html
OlegDubitsky.html
KerryNOliphant.html
RobertJPelton.html
DanielMaynes.html
JaminBitter.html
http___www.conceptsnrec.com_pdf_IMECE2005-79416-R3.pdf http://www.conceptsnrec.com/pdf/IMECE2005-79416-R3.pdf
http___dx.doi.org_10.1115_IMECE2005-79416 http://dx.doi.org/10.1115/IMECE2005-79416
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GabrielJarillo.html
GiancarloSucci.html
WitoldPedrycz.html
MarekReformat.html
http___www.springer.com_computer_database_management__26_information_retrieval_book_978-1-85233-546-5 http://www.springer.com/computer/database+management+%26+information+retrieval/book/978-1-85233-546-5
http___www.inf.unibz.it__gsucci_publications_images_analysisofsoftwareengineeringdatausingcomputationalsoftwaretechniques.pdf http://www.inf.unibz.it/~gsucci/publications/images/analysisofsoftwareengineeringdatausingcomputationalsoftwaretechniques.pdf
Jarraya:2015:CEC Evolutionary multi-objective optimization for evolving hierarchical fuzzy system
YosraJarraya.html
SouhirBouaziz.html
AdelMAlimi.html
AjithAbraham.html
http___dx.doi.org_10.1109_CEC.2015.7257284 http://dx.doi.org/10.1109/CEC.2015.7257284
Jarraya:2016:SMC Evolutionary hierarchical fuzzy modeling of Interval Type-2 Beta Fuzzy Systems
YosraJarraya.html
SouhirBouaziz.html
AdelMAlimi.html
AjithAbraham.html
http___dx.doi.org_10.1109_SMC.2016.7844772 http://dx.doi.org/10.1109/SMC.2016.7844772
Jarraya:2017:FUZZ-IEEE Evolutionary multi-objective based hierarchical interval type-2 beta fuzzy system for classification problems
YosraJarraya.html
SouhirBouaziz.html
AdelMAlimi.html
http___dx.doi.org_10.1109_FUZZ-IEEE.2017.8015617 http://dx.doi.org/10.1109/FUZZ-IEEE.2017.8015617
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HarriJaske.html
ftp___ftp.uwasa.fi_cs_2NWGA_Jaske.ps.Z ftp://ftp.uwasa.fi/cs/2NWGA/Jaske.ps.Z
Jaske:1997:crGP On code reuse in genetic programming
HarriJaske.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_gp1997_Jaske_1997_crGP.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/gp1997/Jaske_1997_crGP.pdf
jaskowski:evows07 Learning and Recognition of Hand-drawn Shapes using Generative Genetic Programming
WojciechJaskowski.html
KrzysztofKrawiec.html
BartoszWieloch.html
http___dx.doi.org_10.1007_978-3-540-71805-5_31 http://dx.doi.org/10.1007/978-3-540-71805-5_31
1277281 Genetic programming for cross-task knowledge sharing
WojciechJaskowski.html
KrzysztofKrawiec.html
BartoszWieloch.html
http___gpbib.cs.ucl.ac.uk_gecco2007_docs_p1620.pdf http://gpbib.cs.ucl.ac.uk/gecco2007/docs/p1620.pdf
http___dx.doi.org_10.1145_1276958.1277281 http://dx.doi.org/10.1145/1276958.1277281
1277318 Knowledge reuse in genetic programming applied to visual learning
WojciechJaskowski.html
KrzysztofKrawiec.html
BartoszWieloch.html
http___gpbib.cs.ucl.ac.uk_gecco2007_docs_p1790.pdf http://gpbib.cs.ucl.ac.uk/gecco2007/docs/p1790.pdf
http___dx.doi.org_10.1145_1276958.1277318 http://dx.doi.org/10.1145/1276958.1277318
Jaskowski:2007:PL Evolutionary Learning with Cross-Class Knowledge Reuse for Handwritten Character Recognition
WojciechJaskowski.html
KrzysztofKrawiec.html
BartoszWieloch.html
http___www.ecmlpkdd2007.org_CD_workshops_PlanLearn_WS_PlanLearn_p2_WS_PlanLearn_p2.pdf http://www.ecmlpkdd2007.org/CD/workshops/PlanLearn/WS_PlanLearn_p2/WS_PlanLearn_p2.pdf
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WojciechJaskowski.html
KrzysztofKrawiec.html
BartoszWieloch.html
http___dx.doi.org_10.1007_978-3-540-78671-9_2 http://dx.doi.org/10.1007/978-3-540-78671-9_2
Jaskowski:2008:geccocomp Multi-task code reuse in genetic programming
WojciechJaskowski.html
KrzysztofKrawiec.html
BartoszWieloch.html
http___gpbib.cs.ucl.ac.uk_gecco2008_docs_p2159.pdf http://gpbib.cs.ucl.ac.uk/gecco2008/docs/p2159.pdf
http___dx.doi.org_10.1145_1388969.1389040 http://dx.doi.org/10.1145/1388969.1389040
Jaskowski:2008:GPEM Evolving strategy for a probabilistic game of imperfect information using genetic programming
WojciechJaskowski.html
KrzysztofKrawiec.html
BartoszWieloch.html
http___dx.doi.org_10.1007_s10710-008-9062-1 http://dx.doi.org/10.1007/s10710-008-9062-1
Jaskowski:2008:EC Multitask Visual Learning Using Genetic Programming
WojciechJaskowski.html
KrzysztofKrawiec.html
BartoszWieloch.html
http___dx.doi.org_10.1162_evco.2008.16.4.439 http://dx.doi.org/10.1162/evco.2008.16.4.439
Jaskowski:2009:EIASP Genetic Programming for Generative Learning and Recognition of Hand-Drawn Shapes
WojciechJaskowski.html
KrzysztofKrawiec.html
BartoszWieloch.html
http___dx.doi.org_10.1007_978-3-642-01636-3_5 http://dx.doi.org/10.1007/978-3-642-01636-3_5
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WojciechJaskowski.html
http___www.cs.put.poznan.pl_wjaskowski_pub_papers_jaskowski11algorithms.pdf http://www.cs.put.poznan.pl/wjaskowski/pub/papers/jaskowski11algorithms.pdf
journals/amcs/JaskowskiKW14 Cross-task code reuse in genetic programming applied to visual learning
WojciechJaskowski.html
KrzysztofKrawiec.html
BartoszWieloch.html
http___dx.doi.org_10.2478_amcs-2014-0014 http://dx.doi.org/10.2478/amcs-2014-0014
Javadi:2006:CG Evaluation of liquefaction induced lateral displacements using genetic programming
AkbarAJavadi.html
MohammadRezania.html
MohaddesehMousavi-Nezhad.html
http___dx.doi.org_10.1016_j.compgeo.2006.05.001 http://dx.doi.org/10.1016/j.compgeo.2006.05.001
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AkbarAJavadi.html
AsaadFaramarzi.html
AlirezaAhangar-Asr.html
MouraMehravar.html
http___www.engineering.nottingham.ac.uk_icccbe_proceedings_pdf_pf211.pdf http://www.engineering.nottingham.ac.uk/icccbe/proceedings/pdf/pf211.pdf
http___www.engineering.nottingham.ac.uk_icccbe_proceedings_html_211.htm http://www.engineering.nottingham.ac.uk/icccbe/proceedings/html/211.htm
JBCMS2004GPGI Context-free grammar induction using genetic programming
FaizadJaved.html
BarrettRBryant.html
MatejCrepinsek.html
MarjanMernik.html
AlanPSprague.html
http___portal.acm.org_ft_gateway.cfm_id_986635_type_pdf_coll_GUIDE_dl_GUIDE_CFID_59883361_CFTOKEN_89203485 http://portal.acm.org/ft_gateway.cfm?id=986635&type=pdf&coll=GUIDE&dl=GUIDE&CFID=59883361&CFTOKEN=89203485
http___dx.doi.org_10.1145_986537.986635 http://dx.doi.org/10.1145/986537.986635
conf/mlmta/JavedMBS07 GenInc: An Incremental Context-Free Grammar Learning Algorithm for Domain-Specific Language Development
FaizanJaved.html
MarjanMernik.html
BarrettRBryant.html
AlanPSprague.html
http___www.cis.uab.edu_softcom_GrammarInference_publications_mlmta2007.pdf http://www.cis.uab.edu/softcom/GrammarInference/publications/mlmta2007.pdf
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.145.7594 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.145.7594
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FaizanJaved.html
http___www.cis.uab.edu_softcom_dissertations_JavedFaizan.pdf http://www.cis.uab.edu/softcom/dissertations/JavedFaizan.pdf
Javed:book Techniques for Context-Free Grammar Induction and Applications: Application of novel inference algorithms to software maintenance problems
FaizanJaved.html
https___search.worldcat.org_title_724911304 https://search.worldcat.org/title/724911304
https___www.amazon.com_dp_3639110102 https://www.amazon.com/dp/3639110102
Javed:2022:DMKD Simplification of genetic programs: a literature survey
NomanJaved.html
FernandGobet.html
PeterCRLane.html
http___eprints.lse.ac.uk_114852_ http://eprints.lse.ac.uk/114852/
https___rdcu.be_cUozw https://rdcu.be/cUozw
http___dx.doi.org_10.1007_s10618-022-00830-7 http://dx.doi.org/10.1007/s10618-022-00830-7
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NomanJaved.html
AngeloPirrone.html
LauraBartlett.html
PeterCRLane.html
FernandGobet.html
http___eprints.lse.ac.uk_id_eprint_118805 http://eprints.lse.ac.uk/id/eprint/118805
https___aisb.org.uk_wp-content_uploads_2023_05_aisb2023.pdf https://aisb.org.uk/wp-content/uploads/2023/05/aisb2023.pdf
javed:2020:Crystals New Prediction Model for the Ultimate Axial Capacity of Concrete-Filled Steel Tubes: An Evolutionary Approach
MuhammadFaisalJaved.html
FurqanFarooq.html
ShazimAliMemon.html
ArslanAkbar.html
MohsinAliKhan.html
FahidAslam.html
RayedAlyousef.html
HishamAlabduljabbar.html
SardarKashifUrRehman.html
https___www.mdpi.com_2073-4352_10_9_741 https://www.mdpi.com/2073-4352/10/9/741
http___dx.doi.org_10.3390_cryst10090741 http://dx.doi.org/10.3390/cryst10090741
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NomanJaved.html
FernandGobet.html
https___doi.org_10.1145_3412841.3441926 https://doi.org/10.1145/3412841.3441926
http___dx.doi.org_10.1145_3412841.3441926 http://dx.doi.org/10.1145/3412841.3441926
Javed:2015:FIT Combining Robust Statistical and 1D Laplacian Operators Using Genetic Programming to Detect and Remove Impulse Noise from Images
SyedGibranJaved.html
AbdulMajid.html
NabeelaKausar.html
http___dx.doi.org_10.1109_FIT.2015.15 http://dx.doi.org/10.1109/FIT.2015.15
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SyedGibranJaved.html
AbdulMajid.html
AnwarMMirza.html
AsifullahKhan.html
http___dx.doi.org_10.1007_s11042-015-2554-0 http://dx.doi.org/10.1007/s11042-015-2554-0
http___dx.doi.org_10.1007_s11042-015-2554-0 http://dx.doi.org/10.1007/s11042-015-2554-0
journals/cogcom/JavedMAK16 A Bio-inspired Parallel-Framework Based Multi-gene Genetic Programming Approach to Denoise Biomedical Images
SyedGibranJaved.html
AbdulMajid.html
SafdarAli.html
NabeelaKausar.html
http___dx.doi.org_10.1007_s12559-016-9416-6 http://dx.doi.org/10.1007/s12559-016-9416-6
javed:2018:MTaA Developing a bio-inspired multi-gene genetic programming based intelligent estimator to reduce speckle noise from ultrasound images
SyedGibranJaved.html
AbdulMajid.html
YeonSooLee.html
http___link.springer.com_article_10.1007_s11042-017-5139-2 http://link.springer.com/article/10.1007/s11042-017-5139-2
http___dx.doi.org_10.1007_s11042-017-5139-2 http://dx.doi.org/10.1007/s11042-017-5139-2
jayawardena:2005:MODSIM Rainfall-Runoff Modelling Using Genetic Programming
AWJayawardena.html
NitinMuttil.html
TMKGFernando.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.375.6188 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.375.6188
http___www.mssanz.org.au_modsim05_papers_jayawardena.pdf http://www.mssanz.org.au/modsim05/papers/jayawardena.pdf
Jayawardena:2006:JHE Comparative Analysis of Data-Driven and GIS-Based Conceptual Rainfall-Runoff Model
AWJayawardena.html
NitinMuttil.html
JosephHun-weiLee.html
http___dx.doi.org_10.1061__ASCE_1084-0699_2006_11_1_1__ http://dx.doi.org/10.1061/(ASCE)1084-0699(2006)11:1(1))
Jebari:2013:IJCSI An Evolutionary approach for solving Shrodinger Equation
KhalidJebari.html
MohammedMadiafi.html
AbdelazizElMoujahid.html
https___www.ijcsi.org_papers_IJCSI-10-6-2-168-172.pdf https://www.ijcsi.org/papers/IJCSI-10-6-2-168-172.pdf
https___www.ijcsi.org_articles_An-evolutionary-approach-for-solving-the-schrodinger-equation.php https://www.ijcsi.org/articles/An-evolutionary-approach-for-solving-the-schrodinger-equation.php
Jebari:2013:ICCA Solving Poisson Equation by Genetic Algorithms
KhalidJebari.html
MohammedMadiafi.html
AbdelazizElMoujahid.html
http___arxiv.org_abs_1401.0523 http://arxiv.org/abs/1401.0523
http___research.ijcaonline.org_volume83_number5_pxc3892597.pdf http://research.ijcaonline.org/volume83/number5/pxc3892597.pdf
http___dx.doi.org_10.5120_14441-2597 http://dx.doi.org/10.5120/14441-2597
oai:arXiv.org:1402.5428 An Evolutionary approach for solving Shrodinger Equation
KhalidJebari.html
MohammedMadiafi.html
AbdelazizElMoujahid.html
http___arxiv.org_abs_1402.5428 http://arxiv.org/abs/1402.5428
DBLP:conf/iccci/JedrzejowiczJ10 Cellular GEP-Induced Classifiers
JoannaJedrzejowicz.html
PiotrJedrzejowicz.html
https___doi.org_10.1007_978-3-642-16693-8_36 https://doi.org/10.1007/978-3-642-16693-8_36
http___dx.doi.org_10.1007_978-3-642-16693-8_36 http://dx.doi.org/10.1007/978-3-642-16693-8_36
https___dblp.org_rec_bib_conf_iccci_JedrzejowiczJ10 https://dblp.org/rec/bib/conf/iccci/JedrzejowiczJ10
journals/tcci/JedrzejowiczJ11 Cellular Gene Expression Programming Classifier Learning
JoannaJedrzejowicz.html
PiotrJedrzejowicz.html
http___dx.doi.org_10.1007_978-3-642-24016-4_4 http://dx.doi.org/10.1007/978-3-642-24016-4_4
DBLP:series/sci/JedrzejowiczJ11 Constructing Ensemble Classifiers from GEP-Induced Expression Trees
JoannaJedrzejowicz.html
PiotrJedrzejowicz.html
https___doi.org_10.1007_978-3-642-20344-2_7 https://doi.org/10.1007/978-3-642-20344-2_7
http___dx.doi.org_10.1007_978-3-642-20344-2_7 http://dx.doi.org/10.1007/978-3-642-20344-2_7
https___dblp.org_rec_bib_series_sci_JedrzejowiczJ11 https://dblp.org/rec/bib/series/sci/JedrzejowiczJ11
DBLP:journals/eswa/JedrzejowiczJ11 Experimental evaluation of two new GEP-based ensemble classifiers
JoannaJedrzejowicz.html
PiotrJedrzejowicz.html
https___doi.org_10.1016_j.eswa.2011.02.135 https://doi.org/10.1016/j.eswa.2011.02.135
http___dx.doi.org_10.1016_j.eswa.2011.02.135 http://dx.doi.org/10.1016/j.eswa.2011.02.135
https___dblp.org_rec_bib_journals_eswa_JedrzejowiczJ11 https://dblp.org/rec/bib/journals/eswa/JedrzejowiczJ11
conf/iccci/JedrzejowiczJ17 Gene Expression Programming Ensemble for Classifying Big Datasets
JoannaJedrzejowicz.html
PiotrJedrzejowicz.html
http___dx.doi.org_10.1007_978-3-319-67077-5_1 http://dx.doi.org/10.1007/978-3-319-67077-5_1
Jedrzejowicz:2018:Complexity Incremental Gene Expression Programming Classifier with Metagenes and Data Reduction
JoannaJedrzejowicz.html
PiotrJedrzejowicz.html
http___downloads.hindawi.com_journals_complexity_2018_6794067.pdf http://downloads.hindawi.com/journals/complexity/2018/6794067.pdf
http___dx.doi.org_10.1155_2018_6794067 http://dx.doi.org/10.1155/2018/6794067
Jedrzejowicz:2019:jifs Gene Expression Programming as a data classification tool. A review
JoannaJedrzejowicz.html
PiotrJedrzejowicz.html
http___dx.doi.org_10.3233_JIFS-18026 http://dx.doi.org/10.3233/JIFS-18026
journals/vjcs/JedrzejowiczJW19 Implementing Gene Expression Programming in the Parallel Environment for Big Datasets' Classification
JoannaJedrzejowicz.html
PiotrJedrzejowicz.html
IzabelaWierzbowska.html
http___dx.doi.org_10.1142_S2196888819500118 http://dx.doi.org/10.1142/S2196888819500118
conf/kesidt/JedrzejowiczJ19 Gene Expression Programming Classifier with Concept Drift Detection Based on Fisher Exact Test
JoannaJedrzejowicz.html
PiotrJedrzejowicz.html
http___dx.doi.org_10.1007_978-981-13-8311-3_18 http://dx.doi.org/10.1007/978-981-13-8311-3_18
conf/icannga/JedrzejowiczR09 Agent-Based Gene Expression Programming for Solving the RCPSP/max Problem
PiotrJedrzejowicz.html
EwaRatajczak-Ropel.html
http___dx.doi.org_10.1007_978-3-642-04921-7 http://dx.doi.org/10.1007/978-3-642-04921-7
Jensen:2010:gecco On the use of genetic programming for automated refactoring and the introduction of design patterns
AdamCJensen.html
BettyHCCheng.html
http___dx.doi.org_10.1145_1830483.1830731 http://dx.doi.org/10.1145/1830483.1830731
JEONG:2021:ES Genetic programming approach and data generation for transfer lengths in pretensioned concrete members
HoseongJeong.html
Sun-JinHan.html
Seung-HoChoi.html
Jae-HyunKim.html
KangSuKim.html
http___dx.doi.org_10.1016_j.engstruct.2020.111747 http://dx.doi.org/10.1016/j.engstruct.2020.111747
https___www.sciencedirect.com_science_article_pii_S0141029620343480 https://www.sciencedirect.com/science/article/pii/S0141029620343480
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Seung-HoChoi.html
SeokinLee.html
InwookHeo.html
KangSuKim.html
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jeong:2022:IJCSM Development of Mapping Function to Estimate Bond-Slip and Bond Strength of RC Beams Using Genetic Programming
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Jae-HyunKim.html
Seung-HoChoi.html
InwookHeo.html
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http___dx.doi.org_10.1186_s40069-022-00536-6 http://dx.doi.org/10.1186/s40069-022-00536-6
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Kwang-SeukJeong.html
Dong-KyunKim.html
PeterAlexanderWhigham.html
Gea-JaeJoo.html
http___www.business.otago.ac.nz_infosci_SIRC_PeterW_Publications_Jeong_EcolMod_V161_Is_1_2_pg67_78.pdf http://www.business.otago.ac.nz/infosci/SIRC/PeterW/Publications/Jeong_EcolMod_V161_Is_1_2_pg67_78.pdf
http___www.sciencedirect.com_science_article_B6VBS-47VRMKR-4_2_816a2fac74d51d8caefedf1f9c2055b0 http://www.sciencedirect.com/science/article/B6VBS-47VRMKR-4/2/816a2fac74d51d8caefedf1f9c2055b0
http___dx.doi.org_10.1016_S0304-3800_02_00280-6 http://dx.doi.org/10.1016/S0304-3800(02)00280-6
Jeong20113149 Waterfowls habitat modelling: Simulation of nest site selection for the migratory Little Tern (Sterna albifrons) in the Nakdong estuary
Kwang-SeukJeong.html
Ji-DeokJang.html
Dong-KyunKim.html
Gea-JaeJoo.html
http___dx.doi.org_10.1016_j.ecolmodel.2011.05.032 http://dx.doi.org/10.1016/j.ecolmodel.2011.05.032
http___www.sciencedirect.com_science_article_pii_S0304380011003139 http://www.sciencedirect.com/science/article/pii/S0304380011003139
Jericho:2020:CEC Genetic Programming Hyper-heuristic with Cluster Awareness for Stochastic Team Orienteering Problem with Time Windows
JacksonJericho.html
YiMei.html
http___dx.doi.org_10.1109_CEC48606.2020.9185911 http://dx.doi.org/10.1109/CEC48606.2020.9185911
Jeyakarthic:2023:ICAIS Genetic Programming with Dynamic Bayesian Network based Credit Risk Assessment Model
MJeyakarthic.html
RRamesh.html
http___dx.doi.org_10.1109_ICAIS56108.2023.10073788 http://dx.doi.org/10.1109/ICAIS56108.2023.10073788
Jha:2019:APS/DFD Closed-loop control of thermoacoustic oscillations using genetic programming
AnimeshKumarJha.html
BoYin.html
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http___hdl.handle.net_1783.1_100536 http://hdl.handle.net/1783.1/100536
https___meetings.aps.org_Meeting_DFD19_Session_NP05 https://meetings.aps.org/Meeting/DFD19/Session/NP05
https___meetings.aps.org_Meeting_DFD19_Session_NP05.45 https://meetings.aps.org/Meeting/DFD19/Session/NP05.45
Jha:2020:ICACCS Comparing the Effort Estimated By Different Models
MayankJha.html
RichaJha.html
http___dx.doi.org_10.1109_ICACCS48705.2020.9074165 http://dx.doi.org/10.1109/ICACCS48705.2020.9074165
jha:2014:SRIN Multi-Objective Genetic Algorithms and Genetic Programming Models for Minimizing Input Carbon Rates in a Blast Furnace Compared with a Conventional Analytic Approach
RajeshJha.html
ProdipKumarSen.html
NirupamChakraborti.html
http___dx.doi.org_10.1002_srin.201300074 http://dx.doi.org/10.1002/srin.201300074
Jha:2015:MMP Evolutionary Design of Nickel-Based Superalloys Using Data-Driven Genetic Algorithms and Related Strategies
RajeshJha.html
FrankPettersson.html
GeorgeSDulikravich.html
HenrikSaxen.html
NChakrabortic.html
http___dx.doi.org_10.1080_10426914.2014.984203 http://dx.doi.org/10.1080/10426914.2014.984203
http___dx.doi.org_10.1080_10426914.2014.984203 http://dx.doi.org/10.1080/10426914.2014.984203
oai:CiteSeerX.psu:10.1.1.299.770 Taiwan Stock Forecasting with the Genetic Programming $\ast$
Siao-mingJhou.html
Chang-biauYang.html
Hung-HsinChen.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.299.770 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.299.770
http___par.cse.nsysu.edu.tw__cbyang_person_publish_c11stock_gp.pdf http://par.cse.nsysu.edu.tw/~cbyang/person/publish/c11stock_gp.pdf
Ji201293 Douhe Reservoir Flood Forecasting Model Based on Data Mining Technology
HeJi.html
WangSonglin.html
WuQinglin.html
ChenXiaonan.html
http___www.sciencedirect.com_science_article_pii_S1878029612002538 http://www.sciencedirect.com/science/article/pii/S1878029612002538
http___dx.doi.org_10.1016_j.proenv.2012.01.252 http://dx.doi.org/10.1016/j.proenv.2012.01.252
Jia:2015:GECCO A GP-based Video Game Player
BaozhuJia.html
MarcEbner.html
ChristianSchack.html
https___stubber.math-inf.uni-greifswald.de__ebner_resources_uniG_jiaGPbasedVGP.pdf https://stubber.math-inf.uni-greifswald.de/~ebner/resources/uniG/jiaGPbasedVGP.pdf
http___doi.acm.org_10.1145_2739480.2754735 http://doi.acm.org/10.1145/2739480.2754735
http___dx.doi.org_10.1145_2739480.2754735 http://dx.doi.org/10.1145/2739480.2754735
Jia:2015:CIG A Strongly Typed GP-Based Video Game Player
BaozhuJia.html
MarcEbner.html
https___stubber.math-inf.uni-greifswald.de__ebner_resources_uniG_jiaSTGP-VGP.pdf https://stubber.math-inf.uni-greifswald.de/~ebner/resources/uniG/jiaSTGP-VGP.pdf
http___dx.doi.org_10.1109_CIG.2015.7317920 http://dx.doi.org/10.1109/CIG.2015.7317920
Jia:2017:EuroGP Evolving Game State Features from Raw Pixels
BaozhuJia.html
MarcEbner.html
http___dx.doi.org_10.1007_978-3-319-55696-3_4 http://dx.doi.org/10.1007/978-3-319-55696-3_4
JIA:2020:CI Metal-doped bioceramic nanopowders with tunable structural properties aimed at enhancing bone density: Rapid synthesis and modeling
BinJia.html
DingjunHao.html
FengQiao.html
XiaoqingZhou.html
YumingZhang.html
MohsenMesbah.html
AlirezaFallahpour.html
BahmanNasiri-Tabrizi.html
TaoWang.html
http___dx.doi.org_10.1016_j.ceramint.2020.07.301 http://dx.doi.org/10.1016/j.ceramint.2020.07.301
http___www.sciencedirect.com_science_article_pii_S027288422032318X http://www.sciencedirect.com/science/article/pii/S027288422032318X
Jia:2008:ICNC A MEP and IP Based Flexible Neural Tree Model for Exchange Rate Forecasting
GuangfengJia.html
YuehuiChen.html
QiangWu.html
http___dx.doi.org_10.1109_ICNC.2008.669 http://dx.doi.org/10.1109/ICNC.2008.669
Jia:2017:VLSI A heterogeneous microprocessor for energy-scalable sensor inference using genetic programming
HongyangJia.html
Jie_Lucy_Lu.html
NirajKJha.html
NaveenYerma.html
http___dx.doi.org_10.23919_VLSIC.2017.8008535 http://dx.doi.org/10.23919/VLSIC.2017.8008535
Jia:2018:ieeeJSSC Exploiting Approximate Feature Extraction via Genetic Programming for Hardware Acceleration in a Heterogeneous Microprocessor
HongyangJia.html
NaveenVerma.html
http___www.princeton.edu__nverma_VermaLabSite_Publications_2018_JiaVerma_JSSC2018.pdf http://www.princeton.edu/~nverma/VermaLabSite/Publications/2018/JiaVerma_JSSC2018.pdf
http___dx.doi.org_10.1109_JSSC.2017.2787762 http://dx.doi.org/10.1109/JSSC.2017.2787762
Jia:2010:IWCFTA Synthesizing Chaotic Systems with Genetic Programming
QiangJia.html
WallaceKit-SangTang.html
http___dx.doi.org_10.1109_IWCFTA.2010.110 http://dx.doi.org/10.1109/IWCFTA.2010.110
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WenhaoJia.html
KellyAShaw.html
MargaretMartonosi.html
https___dblp.org_rec_conf_ispass_JiaSM12.bib https://dblp.org/rec/conf/ispass/JiaSM12.bib
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http___dx.doi.org_10.1109_ISPASS.2012.6189201 http://dx.doi.org/10.1109/ISPASS.2012.6189201
DBLP:conf/IEEEpact/JiaSM13 Starchart: Hardware and software optimization using recursive partitioning regression trees
WenhaoJia.html
KellyAShaw.html
MargaretMartonosi.html
https___dblp.org_rec_conf_IEEEpact_JiaSM13.bib https://dblp.org/rec/conf/IEEEpact/JiaSM13.bib
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http___dx.doi.org_10.1109_PACT.2013.6618822 http://dx.doi.org/10.1109/PACT.2013.6618822
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WenhaoJia.html
ElbaGarza.html
KellyAShaw.html
MargaretMartonosi.html
https___dblp.org_rec_journals_taco_JiaGSM15.bib https://dblp.org/rec/journals/taco/JiaGSM15.bib
http___dx.doi.org_10.1145_2736287 http://dx.doi.org/10.1145/2736287
Jia:ieeeTC Learning Heuristics With Different Representations for Stochastic Routing
Ya-HuiJia.html
YiMei.html
MengjieZhang.html
http___dx.doi.org_10.1109_TCYB.2022.3169210 http://dx.doi.org/10.1109/TCYB.2022.3169210
Jia:2013:CSBSE The GISMOE Architecture
YueJia.html
MarkHarman.html
WilliamBLangdon.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_Jia_2013_CSBSE.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/Jia_2013_CSBSE.pdf
Jia:2015:gi Genetic Improvement using Higher Order Mutation
YueJia.html
FanWu.html
MarkHarman.html
JensKrinke.html
http___gpbib.cs.ucl.ac.uk_gi2015_genetic_improvement_using_higher_order_mutation.pdf http://gpbib.cs.ucl.ac.uk/gi2015/genetic_improvement_using_higher_order_mutation.pdf
http___doi.acm.org_10.1145_2739482.2768417 http://doi.acm.org/10.1145/2739482.2768417
http___dx.doi.org_10.1145_2739482.2768417 http://dx.doi.org/10.1145/2739482.2768417
jia:2015:gsgp Grow and Serve: Growing Django Citation Services Using SBSE
YueJia.html
MarkHarman.html
WilliamBLangdon.html
AlexandruMarginean.html
http___alexandrumarginean.com_grow_and_serve.pdf http://alexandrumarginean.com/grow_and_serve.pdf
http___dx.doi.org_10.1007_978-3-319-22183-0_22 http://dx.doi.org/10.1007/978-3-319-22183-0_22
Jia:Picassevo Picassevo
YueJia.html
https___mobile.twitter.com_picassevo https://mobile.twitter.com/picassevo
Jia:2018:SapFix Finding and fixing software bugs automatically with SapFix and Sapienz
YueJia.html
KeMao.html
MarkHarman.html
https___bit.ly_3hR2gpy https://bit.ly/3hR2gpy
https___code.fb.com_developer-tools_finding-and-fixing-software-bugs-automatically-with-sapfix-and-sapienz_ https://code.fb.com/developer-tools/finding-and-fixing-software-bugs-automatically-with-sapfix-and-sapienz/
Jiang:2016:CILS Model development and surface analysis of a bio-chemical process
DazhiJiang.html
Wan-Huan_Hanna_Zhou.html
AnkitGarg.html
AkhilGarg.html
http___dx.doi.org_10.1016_j.chemolab.2016.07.010 http://dx.doi.org/10.1016/j.chemolab.2016.07.010
http___www.sciencedirect.com_science_article_pii_S0169743916301721 http://www.sciencedirect.com/science/article/pii/S0169743916301721
Jiang:SBSE:intro Search Based Software Engineering
HeJiang.html
KeTang.html
JustynaPetke.html
MarkHarman.html
https___discovery.ucl.ac.uk_id_eprint_1555870_1_Harman_Editorial-cim-2017-Feb.12.pdf https://discovery.ucl.ac.uk/id/eprint/1555870/1/Harman_Editorial-cim-2017-Feb.12.pdf
http___dx.doi.org_10.1109_MCI.2017.2670459 http://dx.doi.org/10.1109/MCI.2017.2670459
Jiang:1992:thesis A hierarchical genetic system for symbolic function identification
MingdaJiang.html
Jiang:1993:afis An adaptive function identification system
MingdaJiang.html
AldenHWright.html
http___dx.doi.org_10.1109_DMISP.1993.248637 http://dx.doi.org/10.1109/DMISP.1993.248637
Jiang:1992:hGPsfi A Hierarchical Genetic System for Symbolic Function Identification
MingdaJiang.html
AldenHWright.html
http___www.cs.umt.edu_u_wright_papers_hgsfi.ps.gz http://www.cs.umt.edu/u/wright/papers/hgsfi.ps.gz
http___citeseer.ist.psu.edu_202012.html http://citeseer.ist.psu.edu/202012.html
jiang:1996:aGAidc An Adaptive Genetic Algorithm for Image Data Compression
JJiang.html
DarrenButler.html
Jiang_Xue_2024 Racing Control Variable Genetic Programming for Symbolic Regression
NanJiang.html
YexiangXue.html
https___ojs.aaai.org_index.php_AAAI_article_view_29187 https://ojs.aaai.org/index.php/AAAI/article/view/29187
http___dx.doi.org_10.1609_aaai.v38i11.29187 http://dx.doi.org/10.1609/aaai.v38i11.29187
jiang:1998:eaosesMSTsd An Evolutionary Approach to Optimal Structuring Element Extraction for MST-Based Shapes Description
TianziJiang.html
Jiang:2014:IIKI Detection of Acute Hypotensive Episodes via Empirical Mode Decomposition and Genetic Programming
DazhiJiang.html
LiyuLi.html
ZhunFan.html
JinLiu.html
http___dx.doi.org_10.1109_IIKI.2014.53 http://dx.doi.org/10.1109/IIKI.2014.53
journals/ijdsn/JiangLHF15 An Approach for Prediction of Acute Hypotensive Episodes via the Hilbert-Huang Transform and Multiple Genetic Programming Classifier
DazhiJiang.html
LiyuLi.html
BoHu.html
ZhunFan.html
http___dx.doi.org_10.1155_2015_354807 http://dx.doi.org/10.1155/2015/354807
DBLP:journals/nc/JiangTHTH21 A framework for designing of genetic operators automatically based on gene expression programming and differential evolution
DazhiJiang.html
ZhihangTian.html
ZhihuiHe.html
GengTu.html
RuixiangHuang.html
https___doi.org_10.1007_s11047-020-09830-2 https://doi.org/10.1007/s11047-020-09830-2
http___dx.doi.org_10.1007_s11047-020-09830-2 http://dx.doi.org/10.1007/s11047-020-09830-2
https___dblp.org_rec_journals_nc_JiangTHTH21.bib https://dblp.org/rec/journals/nc/JiangTHTH21.bib
JIANG:2020:EFA Collision failure risk analysis of falling object on subsea pipelines based on machine learning scheme
FengyuanJiang.html
ShengDong.html
http___dx.doi.org_10.1016_j.engfailanal.2020.104601 http://dx.doi.org/10.1016/j.engfailanal.2020.104601
http___www.sciencedirect.com_science_article_pii_S1350630720302855 http://www.sciencedirect.com/science/article/pii/S1350630720302855
jiang:2022:Atmosphere Predicting PM2.5 in the Northeast China Heavy Industrial Zone: A Semi-Supervised Learning with Spatiotemporal Features
HongxunJiang.html
XiaotongWang.html
CaihongSun.html
https___www.mdpi.com_2073-4433_13_11_1744 https://www.mdpi.com/2073-4433/13/11/1744
http___dx.doi.org_10.3390_atmos13111744 http://dx.doi.org/10.3390/atmos13111744
Jiang:2015:AEI Rough set and PSO-based ANFIS approaches to modeling customer satisfaction for affective product design
HuiminJiang.html
CheKitKwong.html
KWMSiu.html
YingLiu.html
http___dx.doi.org_10.1016_j.aei.2015.07.005 http://dx.doi.org/10.1016/j.aei.2015.07.005
http___www.sciencedirect.com_science_article_pii_S1474034615000713 http://www.sciencedirect.com/science/article/pii/S1474034615000713
JIANG:2020:ECM Short-term wind speed prediction using time varying filter-based empirical mode decomposition and group method of data handling-based hybrid model
YanJiang.html
ShuoyuLiu.html
NingZhao.html
JingzhouXin.html
BoWu.html
http___dx.doi.org_10.1016_j.enconman.2020.113076 http://dx.doi.org/10.1016/j.enconman.2020.113076
http___www.sciencedirect.com_science_article_pii_S0196890420306208 http://www.sciencedirect.com/science/article/pii/S0196890420306208
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Zhao-HuiJiang.html
TingtingLi.html
WenfangMin.html
ZhaoQi.html
YuanRao.html
http___dx.doi.org_10.1016_j.patrec.2017.02.015 http://dx.doi.org/10.1016/j.patrec.2017.02.015
Jiang:2016:WPMC Multi-gene genetic programming based modulation classification using multinomial logistic regression
YizhouJiang.html
SaiHuang.html
YifanZhang.html
ZhiyongFeng.html
http___ieeexplore.ieee.org_xpl_articleDetails.jsp_tp__arnumber_7954505 http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=7954505
eurogp:JinT05 Relative Fitness and Absolute Fitness for Co-evolutionary Systems
NanlinJin.html
EdwardPKTsang.html
http___dx.doi.org_10.1007_978-3-540-31989-4_30 http://dx.doi.org/10.1007/978-3-540-31989-4_30
http___dx.doi.org_10.1007_b107383 http://dx.doi.org/10.1007/b107383
Jin:2005:CIG Co-evolutionary Strategies for an Alternating-Offer Bargaining Problem
NanlinJin.html
EdwardPKTsang.html
http___cswww.essex.ac.uk_Research_CSP_finance_papers_JinTsa-Bargaining-Cig2005.pdf http://cswww.essex.ac.uk/Research/CSP/finance/papers/JinTsa-Bargaining-Cig2005.pdf
NanlinJin:2005:CEC Equilibrium Selection by Co-evolution for Bargaining Problems under Incomplete Information about Time Preferences
NanlinJin.html
http___cswww.essex.ac.uk_Research_CSP_finance_papers_Jin-IncompleteInfo-Cec2005.pdf http://cswww.essex.ac.uk/Research/CSP/finance/papers/Jin-IncompleteInfo-Cec2005.pdf
http___dx.doi.org_10.1109_CEC.2005.1555028 http://dx.doi.org/10.1109/CEC.2005.1555028
1144067 Indirect co-evolution for understanding belief in an incomplete information dynamic game
NanlinJin.html
http___gpbib.cs.ucl.ac.uk_gecco2006_docs_p383.pdf http://gpbib.cs.ucl.ac.uk/gecco2006/docs/p383.pdf
http___dx.doi.org_10.1145_1143997.1144067 http://dx.doi.org/10.1145/1143997.1144067
JinTsang_2006_CEC Co-adaptive Strategies for Sequential Bargaining Problems with Discount Factors and Outside Options
NanlinJin.html
EdwardPKTsang.html
http___dx.doi.org_10.1109_CEC.2006.1688572 http://dx.doi.org/10.1109/CEC.2006.1688572
NanlinJin:Thesis Constraint-based co-evolutionary genetic programming for bargaining problems
NanlinJin.html
http___www.bracil.net_finance_papers_Jin-Bargaining-PhD2007.pdf http://www.bracil.net/finance/papers/Jin-Bargaining-PhD2007.pdf
Jin2009924 A constraint-guided method with evolutionary algorithms for economic problems
NanlinJin.html
EdwardPKTsang.html
JinLi.html
http___dx.doi.org_10.1016_j.asoc.2008.11.006 http://dx.doi.org/10.1016/j.asoc.2008.11.006
http___www.sciencedirect.com_science_article_B6W86-4V0TCY0-6_2_6b82133b94fa2c3580d4e43064120400 http://www.sciencedirect.com/science/article/B6W86-4V0TCY0-6/2/6b82133b94fa2c3580d4e43064120400
jin:2020:SaMO Compositional kernel learning using tree-based genetic programming for Gaussian process regression
Seung-SeopJin.html
http___link.springer.com_article_10.1007_s00158-020-02559-7 http://link.springer.com/article/10.1007/s00158-020-02559-7
http___dx.doi.org_10.1007_s00158-020-02559-7 http://dx.doi.org/10.1007/s00158-020-02559-7
ZhanliJin:2005:SMS Application of fuzzy GA for optimal vibration control of smart cylindrical shells
ZhanliJin.html
YaowenYang.html
CheeKiongSoh.html
http___stacks.iop.org_0964-1726_14_1250 http://stacks.iop.org/0964-1726/14/1250
http___dx.doi.org_10.1088_0964-1726_14_6_018 http://dx.doi.org/10.1088/0964-1726/14/6/018
Jinbo:2011:ICEE Research on learning behavior of traders in artificial stock market based on genetic algorithm
WangJinbo.html
SuBo.html
http___dx.doi.org_10.1109_ICEBEG.2011.5882429 http://dx.doi.org/10.1109/ICEBEG.2011.5882429
Jitkongchuen:2019:DAMT-NCON Prediction Heating and Cooling Loads of Building Using Evolutionary Grey Wolf Algorithms
DuangjaiJitkongchuen.html
EakasitPacharawongsakda.html
http___dx.doi.org_10.1109_ECTI-NCON.2019.8692232 http://dx.doi.org/10.1109/ECTI-NCON.2019.8692232
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YookyungJo.html
CarlLagoze.html
CLeeGiles.html
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DBLP:conf/ecai/JoedickeKCWVCH20 Analysis of the performance of Genetic Programming on the Blood Glucose Level Prediction Challenge 2020
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johanson:1997:masters Automated Fitness Raters for GP-Music System
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Johanson98 GP-Music: An Interactive Genetic Programming System for Music Generation with Automated Fitness Raters
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johanson:1998:GP-Music GP-Music: An Interactive Genetic Programming System for Music Generation with Automated Fitness Raters
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johansson:1996:rfbcGPtr Evolving integer recurrences using genetic programming
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johansson:1996:rfbcGP Recurrences with Fixed Base Cases in Genetic Programming
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DBLP:conf/flairs/JohanssonKN04 The Truth is In There - Rule Extraction from Opaque Models Using Genetic Programming
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Johansson:2006:ICAISC Genetically Evolved Trees Representing Ensembles
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Johansson:2006:CEC Building Neural Network Ensembles using Genetic Programming
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Johansson:2007:IJCNN Inconsistency - Friend or Foe
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UlfJohansson:thesis Obtaining Accurate and Comprehensible Data Mining Models - An Evolutionary Approach
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Johansson:2008:cec Increasing Rule Extraction Accuracy by Post-Processing GP Trees
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DBLP:conf/dmin/JohanssonKN08 Evolving a Locally Optimized Instance Based Learner
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Johansson:2009:ieeeCIDM Evolving decision trees using oracle guides
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http___dx.doi.org_10.1109_CIDM.2009.4938655 http://dx.doi.org/10.1109/CIDM.2009.4938655
Johansson:2009:cec Using Genetic Programming to Obtain Implicit Diversity
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Johansson:2010:EuroGP Using Imaginary Ensembles to Select GP Classifiers
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Johansson:2010:gecco Genetic rule extraction optimizing brier score
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http___dx.doi.org_10.1145_1830483.1830668 http://dx.doi.org/10.1145/1830483.1830668
Johansson:2011:OTtETA One Tree to Explain Them All
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Johansson:2013:CEC Evolved Decision Trees as Conformal Predictors
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Johari:2006:JGGE Prediction of Soil-Water Characteristic Curve Using Genetic Programming
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http___dx.doi.org_10.1061__ASCE_1090-0241_2006_132_5_661_ http://dx.doi.org/10.1061/(ASCE)1090-0241(2006)132:5(661)
Johari20111002 Prediction of SWCC using artificial intelligent systems: A comparative study
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http___www.sciencedirect.com_science_article_pii_S1026309811001829 http://www.sciencedirect.com/science/article/pii/S1026309811001829
john:2022:GECCOcomp Automatically Evolving Malice Scoring Models through Utilisation of Genetic Programming: A Cooperative Coevolution Approach
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http___dx.doi.org_10.1145_3520304.3529063 http://dx.doi.org/10.1145/3520304.3529063
John:2024:evoapplications Evolving Feature Extraction Models for Melanoma Detection: A Co-operative Co-evolution Approach
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https___rdcu.be_dDZ0h https://rdcu.be/dDZ0h
http___dx.doi.org_10.1007_978-3-031-56852-7_26 http://dx.doi.org/10.1007/978-3-031-56852-7_26
johnson:1995:AAECASESGP An Attempt to Evolve Cooperation Among Separately Evolved Structure in Genetic Programming
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johnson:2004:eurogp Evolutionary Induction of Grammar Systems for Multi-agent Cooperation
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johnson:2002:EuroGP Deriving genetic programming fitness properties by static analysis
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http___dx.doi.org_10.1007_3-540-45984-7_29 http://dx.doi.org/10.1007/3-540-45984-7_29
Johnson:2002:ukci What Can Automatic Programming Learn from Theoretical Computer Science?
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RASC2002SC2108 Genetic programming with guaranteed constraints
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johnson03 Artificial Immune System Programming for Symbolic Regression
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eurogp07:johnson Genetic Programming with Fitness based on Model Checking
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http___dx.doi.org_10.1007_978-3-540-71605-1_11 http://dx.doi.org/10.1007/978-3-540-71605-1_11
Johnson:2009:eurogp Genetic Programming Crossover: Does it Cross Over?
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http___dx.doi.org_10.1007_978-3-642-01181-8_9 http://dx.doi.org/10.1007/978-3-642-01181-8_9
Johnson:2014:SMGPwork Semantic Methods in Genetic Programming
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Johnson:2014:SMGP Information Theory, Fitness, and Sampling Semantics
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Johnson:2015:gi Fitness as Task-relevant Information Accumulation
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DBLP:journals/ijart/Johnson16 Fitness in evolutionary art and music: a taxonomy and future prospects
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https___kar.kent.ac.uk_id_document_3132950 https://kar.kent.ac.uk/id/document/3132950
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DBLP:journals/es/Johnson21 Solving the Rubik's cube with stepwise deep learning
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http___dx.doi.org_10.1111_exsy.12665 http://dx.doi.org/10.1111/exsy.12665
https___dblp.org_rec_journals_es_Johnson21.bib https://dblp.org/rec/journals/es/Johnson21.bib
johnson:2023:GPEM New Directions in fitness evaluation: commentary on Langdon's JAWS30
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https___rdcu.be_drZc8 https://rdcu.be/drZc8
http___dx.doi.org_10.1007_s10710-023-09470-2 http://dx.doi.org/10.1007/s10710-023-09470-2
eurogp:JohnsonTS05 Genetic Programming in Wireless Sensor Networks
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Johnson:2013:IMSE Chapter 14 - Evolutionary Algorithms Applied to Electronic-Structure Informatics: Accelerated Materials Design Using Data Discovery vs. Data Searching
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johnson:1999:eurogp EuroGP A biologist's persepective
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Johnson:2000:eamGPsir Explanatory Analysis of the Metabolome Using Genetic Programming of Simple, Interpretable Rules
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johnson:2003:mfsst Metabolic fingerprinting of salt-stressed tomatoes
HelenEJohnson.html
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AileenRSmith.html
http___dx.doi.org_10.1016_S0031-9422_02_00722-7 http://dx.doi.org/10.1016/S0031-9422(02)00722-7
JJohnson:2000:GECCOlb Coadaptation of Cooperative Players in an Iterated Prisoners Dilemma Game using an XML Based GA
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johnson:2002:SEAL Sequence Generation Using Machine Language Evolved by Genetic Programming
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http___www.worldcat.org_title_seal02-proceedings-of-the-4th-asia-pacific-conference-on-simulated-evolution-and-learning-november-18-22-2002-orchid-country-club-singapore_oclc_51951214 http://www.worldcat.org/title/seal02-proceedings-of-the-4th-asia-pacific-conference-on-simulated-evolution-and-learning-november-18-22-2002-orchid-country-club-singapore/oclc/51951214
oai:CiteSeerX.psu:10.1.1.596.3170 Evolving a Bipedal Robot Controller
MichaelJohnson.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.596.3170 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.596.3170
johnson:1994:EVR Evolving Visual Routines
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TrevorDarrell.html
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jonhson:1995:mscthesis Evolving Visual Routines
MichaelPatrickJohnson.html
http___pubs.media.mit.edu_pubs_papers_ms-thesis.ps.gz http://pubs.media.mit.edu/pubs/papers/ms-thesis.ps.gz
http___citeseer.ist.psu.edu_johnson94evolving.html http://citeseer.ist.psu.edu/johnson94evolving.html
johnson:1994:EVRAL Evolving Visual Routines
MichaelPatrickJohnson.html
PattieMaes.html
TrevorDarrell.html
http___dx.doi.org_10.1162_artl.1994.1.4.373 http://dx.doi.org/10.1162/artl.1994.1.4.373
johnson:1996:GPadac Genetic program auto-designs analog circuits
RColinJohnson.html
http___www.genetic-programming.com_published_eetimes060396.html http://www.genetic-programming.com/published/eetimes060396.html
Johnston:tr09-7 A Linear Regression Approach to Numerical Simplification in Tree-Based Genetic Programming
MarkJohnston.html
ThomasLiddle.html
MengjieZhang.html
http___msor.victoria.ac.nz_twiki_pub_Main_ResearchReportSeries_msor09-07.pdf http://msor.victoria.ac.nz/twiki/pub/Main/ResearchReportSeries/msor09-07.pdf
Johnston:2010:EuroGP A Relaxed Approach to Simplification in Genetic Programming
MarkJohnston.html
ThomasLiddle.html
MengjieZhang.html
http___dx.doi.org_10.1007_978-3-642-12148-7_10 http://dx.doi.org/10.1007/978-3-642-12148-7_10
Johri:2015:ICCCA Review paper on text and audio steganography using GA
PrashantJohri.html
ArunKumar.html
AmbaMishra.html
http___dx.doi.org_10.1109_CCAA.2015.7148403 http://dx.doi.org/10.1109/CCAA.2015.7148403
JOMEKIAN:2019:FPE Improved prediction of solubility of gases in polymers using an innovative non-equilibrium lattice fluid/Flory-Huggins model
AbolfazlJomekian.html
SeyedJalilPoormohammadian.html
http___dx.doi.org_10.1016_j.fluid.2019.112261 http://dx.doi.org/10.1016/j.fluid.2019.112261
http___www.sciencedirect.com_science_article_pii_S037838121930322X http://www.sciencedirect.com/science/article/pii/S037838121930322X
Jones:1991:masters Writing Programs Using Genetic Algorithms
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jones:1993:GPreview Nature's Way
AntoniaJJones.html
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http___dx.doi.org_10.1038_363222a0 http://dx.doi.org/10.1038/363222a0
Jones:1998:qmpmalssl Quantification of microbial productivity via multi-angle light scattering and supervised learning
AlunJones.html
DaniellaYoung.html
JanetTaylor.html
DouglasBKell.html
JemJRowland.html
http___dx.doi.org_10.1002__SICI_1097-0290_19980720_59_2_3C131__AID-BIT1_3E3.0.CO_3B2-I http://dx.doi.org/10.1002/(SICI)1097-0290(19980720)59:2%3C131::AID-BIT1%3E3.0.CO%3B2-I
percolation-of-the-impact-of-coding-mistakes-through-a-program Percolation of the impact of coding mistakes through a program
DerekMJones.html
https___shape-of-code.com_2023_04_02_percolation-of-the-impact-of-coding-mistakes-through-a-program_ https://shape-of-code.com/2023/04/02/percolation-of-the-impact-of-coding-mistakes-through-a-program/
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https___www.shape-of-code.com_code-data_gi-expr-tree.tgz https://www.shape-of-code.com/code-data/gi-expr-tree.tgz
Jones:2017:IROS A soft multi-axial force sensor to assess tissue properties in RealTime
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HongboWang.html
AliAlazmani.html
PeteCulmer.html
http___dx.doi.org_10.1109_IROS.2017.8206464 http://dx.doi.org/10.1109/IROS.2017.8206464
jones:1999:Gdec Genetic design of electronic circuits
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WilliamTJoines.html
jones:2005:GPTP Automated Design of a Previously Patented Aspherical Optical Lens System by Means of Genetic Programming
LeeWJones.html
SameerHAl-Sakran.html
JohnKoza.html
http___dx.doi.org_10.1007_0-387-28111-8_3 http://dx.doi.org/10.1007/0-387-28111-8_3
1144143 Automated synthesis of a human-competitive solution to the challenge problem of the 2002 international optical design conference by means of genetic programming and a multi-dimensional mutation operation
LeeWJones.html
SameerHAl-Sakran.html
JohnKoza.html
http___gpbib.cs.ucl.ac.uk_gecco2006_docs_p823.pdf http://gpbib.cs.ucl.ac.uk/gecco2006/docs/p823.pdf
http___dx.doi.org_10.1145_1143997.1144143 http://dx.doi.org/10.1145/1143997.1144143
jonkergouw:2005:icannga Modelling Chlorine Decay in Water Networks with Genetic Programming
PhilipJonkergouw.html
EdKeedwell.html
Soon-ThiamKhu.html
http___dx.doi.org_10.1007_3-211-27389-1_49 http://dx.doi.org/10.1007/3-211-27389-1_49
jonsson:1996:csb Characterizing Signal Behaviour Using Genetic Programming
PerJonsson.html
JonasBarklund.html
http___dx.doi.org_10.1007_BFb0032773 http://dx.doi.org/10.1007/BFb0032773
Jonyer:2006:FLAIRS Improving Modularity in Genetic Programming Using Graph-Based Data Mining
IstvanJonyer.html
AkikoHimes.html
http___www.aaai.org_Papers_FLAIRS_2006_Flairs06-110.pdf http://www.aaai.org/Papers/FLAIRS/2006/Flairs06-110.pdf
Joo:2009:eurogp Mining Evolving Learning Algorithms
AndrasJoo.html
http___dx.doi.org_10.1007_978-3-642-01181-8_7 http://dx.doi.org/10.1007/978-3-642-01181-8_7
DBLP:conf/gecco/JooN09 Towards identifying salient patterns in genetic programming individuals
AndrasJoo.html
JuanPabloNeirotti.html
http___dx.doi.org_10.1145_1569901.1570217 http://dx.doi.org/10.1145/1569901.1570217
a.m.joo.phd.069952236 Towards identifying salient patterns in genetic programming individuals
AndrasJoo.html
http___eprints.aston.ac.uk_13364_ http://eprints.aston.ac.uk/13364/
http___eprints.aston.ac.uk_13364_1_a.m.joo.phd.069952236.pdf http://eprints.aston.ac.uk/13364/1/a.m.joo.phd.069952236.pdf
http___ethos.bl.uk_OrderDetails.do_did_29_uin_uk.bl.ethos.533151 http://ethos.bl.uk/OrderDetails.do?did=29&uin=uk.bl.ethos.533151
Jordaan:PPSN:2004 Robust Inferential Sensors based on Ensemble of Predictors generated by Genetic Programming
ElsaJordaan.html
ArthurKKordon.html
LeoChiang.html
GuidoFSmits.html
https___rdcu.be_dc0jT https://rdcu.be/dc0jT
http___dx.doi.org_10.1007_b100601 http://dx.doi.org/10.1007/b100601
http___dx.doi.org_10.1007_978-3-540-30217-9_53 http://dx.doi.org/10.1007/978-3-540-30217-9_53
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ElsaJordaan.html
JaapdenDoelder.html
GuidoFSmits.html
http___dx.doi.org_10.1007_11844297_33 http://dx.doi.org/10.1007/11844297_33
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AnnaJordanous.html
https___rdcu.be_cQnPo https://rdcu.be/cQnPo
http___dx.doi.org_10.1007_s10710-022-09440-0 http://dx.doi.org/10.1007/s10710-022-09440-0
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KJ_orgensen.html
BElfrink.html
MaartenKeijzer.html
VladanBabovic.html
Joseph:2024:evoapplications Using Evolution and Deep Learning to Generate Diverse Intelligent Agents
MarshallJoseph.html
BrianJRoss.html
https___rdcu.be_dD0og https://rdcu.be/dD0og
http___dx.doi.org_10.1007_978-3-031-56855-8_22 http://dx.doi.org/10.1007/978-3-031-56855-8_22
Jothiprakash:2009:ISHjhe Soft Computing tools in Rainfall-runoff Modeling
VJothiprakash.html
RajendraBMagar.html
http___dx.doi.org_10.1080_09715010.2009.10514970 http://dx.doi.org/10.1080/09715010.2009.10514970
Jothiprakash2012293 Multi-time-step ahead daily and hourly intermittent reservoir inflow prediction by artificial intelligent techniques using lumped and distributed data
VJothiprakash.html
RajendraBMagar.html
http___dx.doi.org_10.1016_j.jhydrol.2012.04.045 http://dx.doi.org/10.1016/j.jhydrol.2012.04.045
http___www.sciencedirect.com_science_article_pii_S0022169412003459 http://www.sciencedirect.com/science/article/pii/S0022169412003459
Jothsna:2013:ijetae A Signature-Free Buffer Overflow Attack Blocker Using Genetic Programming
KothaJothsna.html
RVKrishniah.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.413.8516 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.413.8516
http___www.ijetae.com_files_Volume3Issue2_IJETAE_0213_109.pdf http://www.ijetae.com/files/Volume3Issue2/IJETAE_0213_109.pdf
Jourdan2009620 Hybridizing exact methods and metaheuristics: A taxonomy
LaetitiaJourdan.html
MBasseur.html
El-GhazaliTalbi.html
http___dx.doi.org_10.1016_j.ejor.2007.07.035 http://dx.doi.org/10.1016/j.ejor.2007.07.035
http___www.sciencedirect.com_science_article_B6VCT-4S8K9FW-5_2_da4a040e6d29d78527bb46fcab2eeacd http://www.sciencedirect.com/science/article/B6VCT-4S8K9FW-5/2/da4a040e6d29d78527bb46fcab2eeacd
JOVIC:2018:CEA Evolutionary algorithm for reference evapotranspiration analysis
SrdanJovic.html
BlagojeNedeljkovic.html
ZoranGolubovic.html
NikolaKostic.html
http___dx.doi.org_10.1016_j.compag.2018.04.003 http://dx.doi.org/10.1016/j.compag.2018.04.003
http___www.sciencedirect.com_science_article_pii_S0168169918303934 http://www.sciencedirect.com/science/article/pii/S0168169918303934
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Chun-JungJuan.html
Chen-ShuWang.html
Bo-YiLee.html
Shang-YuChiang.html
Chun-ChangYeh.html
Der-YangCho.html
Wu-ChungShen.html
https___doi.org_10.9781_ijimai.2021.08.006 https://doi.org/10.9781/ijimai.2021.08.006
http___dx.doi.org_10.9781_ijimai.2021.08.006 http://dx.doi.org/10.9781/ijimai.2021.08.006
https___dblp.org_rec_journals_ijimai_JuanWLCYCS21.bib https://dblp.org/rec/journals/ijimai/JuanWLCYCS21.bib
Juarez-Smith:2016:GECCOcomp Integrating Local Search within neat-GP
PerlaSarahiJuarez-Smith.html
LeonardoTrujillo.html
http___dx.doi.org_10.1145_2908961.2931659 http://dx.doi.org/10.1145/2908961.2931659
Juarez-Smith:GPEM Local search in speciation-based bloat control for genetic programming
PerlaSarahiJuarez-Smith.html
LeonardoTrujillo.html
MarioGarcia-Valdez.html
FranciscoFernandezdeVega.html
FranciscoChavezdelaO.html
http___dx.doi.org_10.1007_s10710-019-09351-7 http://dx.doi.org/10.1007/s10710-019-09351-7
juarez-smith:2019:MCA Pool-Based Genetic Programming Using Evospace, Local Search and Bloat Control
PerlaSarahiJuarez-Smith.html
LeonardoTrujillo.html
MarioGarcia-Valdez.html
FranciscoFernandezdeVega.html
FranciscoChavezdelaO.html
https___www.mdpi.com_2297-8747_24_3_78 https://www.mdpi.com/2297-8747/24/3/78
http___dx.doi.org_10.3390_mca24030078 http://dx.doi.org/10.3390/mca24030078
juels:1995:shceGA Stochastic Hillclimbing as a Baseline Method for Evaluating Genetic Algorithms
AriJuels.html
MartinWattenberg.html
http___www.eecs.berkeley.edu_Pubs_TechRpts_1994_CSD-94-834.pdf http://www.eecs.berkeley.edu/Pubs/TechRpts/1994/CSD-94-834.pdf
http___citeseer.nj.nec.com_juels94stochastic.html http://citeseer.nj.nec.com/juels94stochastic.html
juille:1995:fgSIMD Parallel Genetic Programming and Fine-Grained SIMD Architecture
HuguesJuille.html
JordanBPollack.html
http___www.aaai.org_Papers_Symposia_Fall_1995_FS-95-01_FS95-01-005.pdf http://www.aaai.org/Papers/Symposia/Fall/1995/FS-95-01/FS95-01-005.pdf
http___www.cs.brandeis.edu__hugues_papers_AAAI_GP_95.ps.gz http://www.cs.brandeis.edu/~hugues/papers/AAAI_GP_95.ps.gz
http___www.aaai.org_Library_Symposia_Fall_fs95-01.php http://www.aaai.org/Library/Symposia/Fall/fs95-01.php
pollack:1996:aigp2 Massively Parallel Genetic Programming
HuguesJuille.html
JordanBPollack.html
http___www.demo.cs.brandeis.edu_papers_gp2.pdf http://www.demo.cs.brandeis.edu/papers/gp2.pdf
http___www.demo.cs.brandeis.edu_papers_gp2.ps.Z http://www.demo.cs.brandeis.edu/papers/gp2.ps.Z
http___www.demo.cs.brandeis.edu_papers_gp2.ps http://www.demo.cs.brandeis.edu/papers/gp2.ps
http___ieeexplore.ieee.org_xpl_articleDetails.jsp_tp__arnumber_6277531 http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6277531
http___dx.doi.org_10.7551_mitpress_1109.003.0023 http://dx.doi.org/10.7551/mitpress/1109.003.0023
juile:1996:dcl Dynamics of Co-evolutionary Learning
HuguesJuille.html
JordanBPollack.html
http___www.demo.cs.brandeis.edu_papers_sab96b.pdf http://www.demo.cs.brandeis.edu/papers/sab96b.pdf
http___www.demo.cs.brandeis.edu_papers_sab96b.ps.gz http://www.demo.cs.brandeis.edu/papers/sab96b.ps.gz
http___www.demo.cs.brandeis.edu_papers_sab96b.ps http://www.demo.cs.brandeis.edu/papers/sab96b.ps
http___www.cs.brandeis.edu__hugues_papers_SAB_96.ps.gz http://www.cs.brandeis.edu/~hugues/papers/SAB_96.ps.gz
http___ieeexplore.ieee.org_xpl_articleDetails.jsp_arnumber_6291901 http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6291901
juille:1996:cis Co-evolving Intertwined Spirals
HuguesJuille.html
JordanBPollack.html
http___www.demo.cs.brandeis.edu_papers_ep96.pdf http://www.demo.cs.brandeis.edu/papers/ep96.pdf
http___www.demo.cs.brandeis.edu_papers_ep96.ps.gz http://www.demo.cs.brandeis.edu/papers/ep96.ps.gz
http___www.demo.cs.brandeis.edu_papers_ep96.ps http://www.demo.cs.brandeis.edu/papers/ep96.ps
http___www.cs.brandeis.edu__hugues_papers_EP_96.ps.gz http://www.cs.brandeis.edu/~hugues/papers/EP_96.ps.gz
http___citeseer.ist.psu.edu_201284.html http://citeseer.ist.psu.edu/201284.html
juille:1998:carig Coevolutionary Arms Race Improves Generalization
HuguesJuille.html
JordanBPollack.html
juille:1998:shtsgi A Sampling-Based Heuristic for Tree Search Applied to Grammar Induction
HuguesJuille.html
JordanBPollack.html
http___www.demo.cs.brandeis.edu_papers_aaai98.pdf http://www.demo.cs.brandeis.edu/papers/aaai98.pdf
http___www.demo.cs.brandeis.edu_papers_aaai98.ps.gz http://www.demo.cs.brandeis.edu/papers/aaai98.ps.gz
http___www.demo.cs.brandeis.edu_papers_aaai98.ps http://www.demo.cs.brandeis.edu/papers/aaai98.ps
http___www.cs.brandeis.edu__hugues_papers_AAAI_98.ps.gz http://www.cs.brandeis.edu/~hugues/papers/AAAI_98.ps.gz
hugues_thesis Methods for Statistical Inference: Extending the Evolutionary Computation Paradigm
HuguesJuille.html
http___www.demo.cs.brandeis.edu_papers_hugues_thesis.pdf http://www.demo.cs.brandeis.edu/papers/hugues_thesis.pdf
julstrom:1996:clnra Contest Length, Noise, and Reciprocal Altruism in the Population of a Genetic Algorithm for the Iterated Prisoner's Dilemma
BryantAJulstrom.html
Julstrom:1997:swcga Strings of Weights as Chromosomes in Genetic Algorithms for the Traveling Salesman Problem
BryantAJulstrom.html
julstrom:2002:gecco:lbp Manipulating Valid Solutions in a Genetic Algorithm for the Bounded-Diameter Minimum Spanning Tree Problem
BryantAJulstrom.html
http___web.stcloudstate.edu_bajulstrom_ga_abstracts_gecco2002lbp.html http://web.stcloudstate.edu/bajulstrom/ga_abstracts/gecco2002lbp.html
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SungbumJun.html
SeokcheonLee.html
http___hdl.handle.net_10.1080_00207543.2020.1741716 http://hdl.handle.net/10.1080/00207543.2020.1741716
http___dx.doi.org_10.1080_00207543.2020.1741716 http://dx.doi.org/10.1080/00207543.2020.1741716
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MarcinJunczys-Dowmunt.html
http___dx.doi.org_10.1007_978-3-642-32790-2_41 http://dx.doi.org/10.1007/978-3-642-32790-2_41
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LiaJundt.html
ThomasHelmuth.html
http___dx.doi.org_10.1145_3321707.3321787 http://dx.doi.org/10.1145/3321707.3321787
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Jae-YoonJung.html
JamesAReggia.html
http___dx.doi.org_10.1145_1569901.1570034 http://dx.doi.org/10.1145/1569901.1570034
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Tae-minJung.html
Young-SeolLee.html
SungBaeCho.html
http___dx.doi.org_10.1109_CEC.2010.5585966 http://dx.doi.org/10.1109/CEC.2010.5585966
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RobertJunges.html
FranziskaKlugl.html
http___dx.doi.org_10.1145_2001858.2002047 http://dx.doi.org/10.1145/2001858.2002047
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RobertJunges.html
FranziskaKlugl.html
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AirtonBordinJunior.html
NadiaFelixFelipedaSilva.html
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https___www.sciencedirect.com_science_article_pii_S0020025521000529 https://www.sciencedirect.com/science/article/pii/S0020025521000529
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Robert-PaulJuster.html
BruceSMcEwen.html
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http___dx.doi.org_10.1016_j.neubiorev.2009.10.002 http://dx.doi.org/10.1016/j.neubiorev.2009.10.002
http___www.sciencedirect.com_science_article_B6T0J-4XF83T1-1_2_ba6b3d4794b04ffafb547bc67f45f581 http://www.sciencedirect.com/science/article/B6T0J-4XF83T1-1/2/ba6b3d4794b04ffafb547bc67f45f581
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TadeasJuza.html
LukasSekanina.html
https___www.fit.vut.cz_research_publication_12860 https://www.fit.vut.cz/research/publication/12860
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SKabiri.html
MohammadHasanKhoshgoftarManesh.html
MAmidpour.html
http___dx.doi.org_10.1016_j.applthermaleng.2021.117218 http://dx.doi.org/10.1016/j.applthermaleng.2021.117218
https___www.sciencedirect.com_science_article_pii_S1359431121006566 https://www.sciencedirect.com/science/article/pii/S1359431121006566
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EvgeniyaKabliman.html
AnaHelenaKolody.html
MichaelKommenda.html
GabrielKronberger.html
https___doi.org_10.1063_1.5112747 https://doi.org/10.1063/1.5112747
http___dx.doi.org_10.1063_1.5112747 http://dx.doi.org/10.1063/1.5112747
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GabrielKronberger.html
https___www.sciencedirect.com_science_article_pii_S2666496821000182 https://www.sciencedirect.com/science/article/pii/S2666496821000182
http___dx.doi.org_10.1016_j.apples.2021.100052 http://dx.doi.org/10.1016/j.apples.2021.100052
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EvgeniyaKabliman.html
https___rdcu.be_df2Zg https://rdcu.be/df2Zg
http___dx.doi.org_10.1007_s10710-023-09455-1 http://dx.doi.org/10.1007/s10710-023-09455-1
kaboudan:1998:sesrfts Statistical Evaluation of Symbolic Regression Forecasting of Time-Series
MahmoudAKaboudan.html
MKVance.html
http___www.sciencedirect.com_science_article_pii_S1474667017404940 http://www.sciencedirect.com/science/article/pii/S1474667017404940
http___gso.gbv.de_DB_2.1_PPNSET_PPN_318304171 http://gso.gbv.de/DB=2.1/PPNSET?PPN=318304171
http___dx.doi.org_10.1016_S1474-6670_17_40494-0 http://dx.doi.org/10.1016/S1474-6670(17)40494-0
kaboudan:1998:fsrGPC Forecasting Stock Returns Using Genetic Programming in C++
MahmoudAKaboudan.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.532.2726 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.532.2726
https___www.aaai.org_Papers_FLAIRS_1998_FLAIRS98-014.pdf https://www.aaai.org/Papers/FLAIRS/1998/FLAIRS98-014.pdf
http___aaaipress.org_Papers_FLAIRS_1998_FLAIRS98-014.pdf http://aaaipress.org/Papers/FLAIRS/1998/FLAIRS98-014.pdf
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MahmoudAKaboudan.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_gp1998_kaboudan_1998_GPadcns.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/gp1998/kaboudan_1998_GPadcns.pdf
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MahmoudAKaboudan.html
http___EconPapers.repec.org_RePEc_sce_scecf9_1031 http://EconPapers.repec.org/RePEc:sce:scecf9:1031
http___fmwww.bc.edu_CEF99_doc_pgm.html http://fmwww.bc.edu/CEF99/doc/pgm.html
Kaboudan:1999:GPpsp Genetic Programming Prediction of Stock Prices
MahmoudAKaboudan.html
https___rdcu.be_c0eEg https://rdcu.be/c0eEg
http___dx.doi.org_10.1023_A_1008768404046 http://dx.doi.org/10.1023/A:1008768404046
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MahmoudAKaboudan.html
http___dx.doi.org_10.1002__SICI_1099-131X_199909_18_5_3C345__AID-FOR744_3E3.0.CO_3B2-7 http://dx.doi.org/10.1002/(SICI)1099-131X(199909)18:5%3C345::AID-FOR744%3E3.0.CO%3B2-7
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MahmoudAKaboudan.html
http___dx.doi.org_10.1109_CEC.1999.782587 http://dx.doi.org/10.1109/CEC.1999.782587
Kaboudan:2000:CEF Evaluation Of Forecasts Produced By Genetically Evolved Models
MahmoudAKaboudan.html
http___fmwww.bc.edu_cef00_papers_paper331.pdf http://fmwww.bc.edu/cef00/papers/paper331.pdf
kaboudan:2000:gemnfr Genetically evolved models and normality of their fitted residuals
MahmoudAKaboudan.html
http___www.sciencedirect.com_science_article_B6V85-43DKSHS-2_1_814779519703b0e20b2ed476f932e7e5 http://www.sciencedirect.com/science/article/B6V85-43DKSHS-2/1/814779519703b0e20b2ed476f932e7e5
http___dx.doi.org_10.1016_S0165-1889_00_00004-X http://dx.doi.org/10.1016/S0165-1889(00)00004-X
kaboudan:2001:cfcop Compumetric Forecasting of Crude Oil Prices
MahmoudAKaboudan.html
http___dx.doi.org_10.1109_CEC.2001.934402 http://dx.doi.org/10.1109/CEC.2001.934402
Kaboudan2003365 Short-Term Compumetric Forecast of Crude Oil Prices
MahmoudAKaboudan.html
http___dx.doi.org_10.1016_B978-008043858-0_50062-0 http://dx.doi.org/10.1016/B978-008043858-0/50062-0
http___www.sciencedirect.com_science_article_B86BF-4PF22NC-17_2_96bb656b1958ddb535464abece56273c http://www.sciencedirect.com/science/article/B86BF-4PF22NC-17/2/96bb656b1958ddb535464abece56273c
maboudan:2002:ECEF GP forecasts of stock prices for profitable trading
MahmoudAKaboudan.html
http___dx.doi.org_10.1007_978-3-7908-1784-3_19 http://dx.doi.org/10.1007/978-3-7908-1784-3_19
Kaboudan:2003:COR Forecasting with computer-evolved model specifications: a genetic programming application
MahmoudAKaboudan.html
http___www.sciencedirect.com_science_article_B6VC5-47P1N3H-1_2_d89d466d6ed20bb2d2da43b3701f351b http://www.sciencedirect.com/science/article/B6VC5-47P1N3H-1/2/d89d466d6ed20bb2d2da43b3701f351b
http___dx.doi.org_10.1016_S0305-0548_02_00098-9 http://dx.doi.org/10.1016/S0305-0548(02)00098-9
RePEc:sce:scecf3:44 Forecasting Demand for Natural Gas Using GP-Econometric Integrated Systems
MahmoudAKaboudan.html
http___bulldog2.redlands.edu_fac_mak_kaboudan_cef2003_Kaboudan_Extended_Abstract.pdf http://bulldog2.redlands.edu/fac/mak_kaboudan/cef2003/Kaboudan_Extended_Abstract.pdf
RePEc:sce:scecf3:97 Genetic Programming Software to Forecast Time Series
MahmoudAKaboudan.html
http___bulldog2.redlands.edu_fac_mak_kaboudan_cef2003_Kaboudan_Extended_Abstract_2.pdf http://bulldog2.redlands.edu/fac/mak_kaboudan/cef2003/Kaboudan_Extended_Abstract_2.pdf
https___ideas.repec.org_p_sce_scecf3_97.html https://ideas.repec.org/p/sce/scecf3/97.html
agb_kaboudan_paper Spatiotemporal forecasting of housing prices by use of genetic programming
MahmoudAKaboudan.html
http___bulldog2.redlands.edu_fac_mak_kaboudan_agb_kaboudan_paper.pdf http://bulldog2.redlands.edu/fac/mak_kaboudan/agb_kaboudan_paper.pdf
Kaboudan:2004:ITEM Forecasting quarterly US demand for natural gas
MahmoudAKaboudan.html
Qingfeng_Wilson_Liu.html
http___www.item.woiz.polsl.pl_issue2.1_journal2.1.htm http://www.item.woiz.polsl.pl/issue2.1/journal2.1.htm
http___www.item.woiz.polsl.pl_issue2.1_pdf_forecastingquarterlyusdemandfornaturalgas.pdf http://www.item.woiz.polsl.pl/issue2.1/pdf/forecastingquarterlyusdemandfornaturalgas.pdf
Kaboudan:2004:efmaci GP Basics / A Measure of Time Series' Predictability Using Genetic Programming
MahmoudAKaboudan.html
http___www.aiecon.org_conference_efmaci2004_pdf_GP_Basics_paper.pdf http://www.aiecon.org/conference/efmaci2004/pdf/GP_Basics_paper.pdf
http___www.aiecon.org_conference_efmaci2004_pdf_GP_Basics_ppt.pdf http://www.aiecon.org/conference/efmaci2004/pdf/GP_Basics_ppt.pdf
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MahmoudAKaboudan.html
https___econpapers.repec.org_article_wsinmncxx_v_3a01_3ay_3a2005_3ai_3a01_3an_3as1793005705000056.htm https://econpapers.repec.org/article/wsinmncxx/v_3a01_3ay_3a2005_3ai_3a01_3an_3as1793005705000056.htm
http___dx.doi.org_10.1142_S1793005705000056 http://dx.doi.org/10.1142/S1793005705000056
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MahmoudAKaboudan.html
http___bulldog2.redlands.edu_fac_mak_kaboudan_wavelets_in_forecasting.pdf http://bulldog2.redlands.edu/fac/mak_kaboudan/wavelets_in_forecasting.pdf
http___folk.ntnu.no_skoge_prost_proceedings_ifac2005_Fullpapers_03423.pdf http://folk.ntnu.no/skoge/prost/proceedings/ifac2005/Fullpapers/03423.pdf
http___dx.doi.org_10.3182_20050703-6-CZ-1902.02242 http://dx.doi.org/10.3182/20050703-6-CZ-1902.02242
kaboudanprices3 Spatiotemporal forecasting of home prices: aGIS application
MahmoudAKaboudan.html
http___bulldog2.redlands.edu_fac_mak_kaboudan_kaboudanprices3.pdf http://bulldog2.redlands.edu/fac/mak_kaboudan/kaboudanprices3.pdf
Kaboudan:2005:CIEF Computational Forecasting of Two Exchange Rates
MahmoudAKaboudan.html
http___bulldog2.redlands.edu_fac_mak_kaboudan_kaboudan_cief05.pdf http://bulldog2.redlands.edu/fac/mak_kaboudan/kaboudan_cief05.pdf
Kaboudan:2006:nicem Genetic programming for spatiotemporal forecasting of housing prices
MahmoudAKaboudan.html
http___dx.doi.org_10.4018_978-1-59140-984-7.ch055 http://dx.doi.org/10.4018/978-1-59140-984-7.ch055
Kaboudan:2006:JAS Computational Forecasting of Wavelet-Converted Monthly Sunspot Numbers
MahmoudAKaboudan.html
http___dx.doi.org_10.1080_02664760600744215 http://dx.doi.org/10.1080/02664760600744215
Kaboudan:2006:GPEM Biologically Inspired Algorithms for Financial Modelling Published by: Springer, A. Brabazon and M. O'Neill, 2006, ISBN 3-540-26252-0, \$85
MahmoudAKaboudan.html
http___dx.doi.org_10.1007_s10710-006-9010-x http://dx.doi.org/10.1007/s10710-006-9010-x
Kaboudan:2008:NMNC GP versus GLS Spatial Index Models to Forecast Single-Family Home Prices
MahmoudAKaboudan.html
http___dx.doi.org_10.1142_S1793005708001021 http://dx.doi.org/10.1142/S1793005708001021
Kaboudan:2008:JREL Genetic Programming Forecasting of Real Estate Prices of Residential Single Family Homes in Southern California
MahmoudAKaboudan.html
http___dx.doi.org_10.1080_10835547.2008.12090227 http://dx.doi.org/10.1080/10835547.2008.12090227
Kaboudan:2009:ijamcs A two-stage multi-agent system to predict the unsmoothed monthly sunspot numbers
MahmoudAKaboudan.html
http___www.waset.org_journals_ijmcs_v5_v5-3-21.pdf http://www.waset.org/journals/ijmcs/v5/v5-3-21.pdf
Kaboudan:2011:chen A genetic programming/neural network multi-agent system to forecast the S\&P/Case-Shiller home price index for Los Angeles
MahmoudAKaboudan.html
http___www.igi-global.com_bookstore_Chapter.aspx_TitleId_46196 http://www.igi-global.com/bookstore/Chapter.aspx?TitleId=46196
http___dx.doi.org_10.4018_978-1-60566-898-7.ch001 http://dx.doi.org/10.4018/978-1-60566-898-7.ch001
Kaboudan:2012:nmnc Genetic Programming and Neural Networks Forecasting of monthly sunspot numbers
MahmoudAKaboudan.html
http___dx.doi.org_10.1142_S1793005712500020 http://dx.doi.org/10.1142/S1793005712500020
journals/ijcia/KaboudanC13 A Three-Step Combined Genetic Programming and Neural Networks Method of Forecasting the S\&P/Case-Shiller Home Price Index
MahmoudAKaboudan.html
MarkConover.html
http___www.worldscientific.com_doi_abs_10.1142_S1469026813500016 http://www.worldscientific.com/doi/abs/10.1142/S1469026813500016
http___dx.doi.org_10.1142_S1469026813500016 http://dx.doi.org/10.1142/S1469026813500016
DBLP:conf/icpr/KadarBS08 Evolving boundary detectors for natural images via Genetic Programming
IlanKadar.html
OhadBen-Shahar.html
MosheSipper.html
http___dx.doi.org_10.1109_ICPR.2008.4761581 http://dx.doi.org/10.1109/ICPR.2008.4761581
DBLP:conf/gecco/KadarBS09 Evolution of a local boundary detector for natural images via genetic programming and texture cues
IlanKadar.html
OhadBen-Shahar.html
MosheSipper.html
http___dx.doi.org_10.1145_1569901.1570218 http://dx.doi.org/10.1145/1569901.1570218
Kadlec2009795 Data-driven Soft Sensors in the process industry
PetrKadlec.html
BogdanGabrys.html
SibylleStrandt.html
http___dx.doi.org_10.1016_j.compchemeng.2008.12.012 http://dx.doi.org/10.1016/j.compchemeng.2008.12.012
Kadlec:thesis On robust and adaptive soft sensors
PetrKadlec.html
http___eprints.bournemouth.ac.uk_15907_ http://eprints.bournemouth.ac.uk/15907/
http___eprints.bournemouth.ac.uk_15907_1_PhD_Thesis-finalForOneSidedPrinting.pdf http://eprints.bournemouth.ac.uk/15907/1/PhD_Thesis-finalForOneSidedPrinting.pdf
Kadlic:2014:PV Design of Continuous-time Controllers using Cartesian Genetic Programming
BranislavKadlic.html
IvanSekaj.html
DanielPernecky.html
http___dx.doi.org_10.3182_20140824-6-ZA-1003.00915 http://dx.doi.org/10.3182/20140824-6-ZA-1003.00915
http___www.sciencedirect.com_science_article_pii_S1474667016427114 http://www.sciencedirect.com/science/article/pii/S1474667016427114
Kadlic_PhD Navrh evolucnych algoritmov pre riadenie procesov
BranislavKadlic.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_Kadlic_PhD.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/Kadlic_PhD.pdf
https___www.fei.stuba.sk_buxus_docs_2016_autoreferaty_Kadlic-autoref.pdf https://www.fei.stuba.sk/buxus/docs/2016/autoreferaty/Kadlic-autoref.pdf
Kadu:2013:IJARCET Blind Image De-convolution In Surveillance Systems By Genetic Programming
ShwetaRKadu.html
ADGawande.html
LKGautam.html
http___ijarcet.org__p_338 http://ijarcet.org/?p=338
http___ijarcet.org_wp-content_uploads_IJARCET-VOL-2-ISSUE-4-1415-1419.pdf http://ijarcet.org/wp-content/uploads/IJARCET-VOL-2-ISSUE-4-1415-1419.pdf
1144160 Genetic programming with primitive recursion
StefanKahrs.html
http___gpbib.cs.ucl.ac.uk_gecco2006_docs_p941.pdf http://gpbib.cs.ucl.ac.uk/gecco2006/docs/p941.pdf
http___dx.doi.org_10.1145_1143997.1144160 http://dx.doi.org/10.1145/1143997.1144160
Kahyaoglu200826 Optimization of the pistachio nut roasting process using response surface methodology and gene expression programming
TalipKahyaoglu.html
http___dx.doi.org_10.1016_j.lwt.2007.03.026 http://dx.doi.org/10.1016/j.lwt.2007.03.026
Kaiser:2017:IFAC On the control landscape topology
EurikaKaiser.html
RuiyingLi.html
BerndRNoack.html
http___eurika-kaiser.com_ressources_articles_KaRuNo_2017_IFAC.pdf http://eurika-kaiser.com/ressources/articles/KaRuNo_2017_IFAC.pdf
http___www.ifac2017.org_sites_www.ifac2017.org_files_u88_IFAC17_ContentListWeb_4.html http://www.ifac2017.org/sites/www.ifac2017.org/files/u88/IFAC17_ContentListWeb_4.html
https___hal.archives-ouvertes.fr_hal-01856264 https://hal.archives-ouvertes.fr/hal-01856264
Kakizako:2022:SCIS Genetic Programming for Optimizing Behavioral Rules of Agents Mimicking Human Behavior Patterns
KosukeKakizako.html
YoshikoHanada.html
http___dx.doi.org_10.1109_SCISISIS55246.2022.10002152 http://dx.doi.org/10.1109/SCISISIS55246.2022.10002152
Kala20123817 Multi-robot path planning using co-evolutionary genetic programming
RahulKala.html
http___dx.doi.org_10.1016_j.eswa.2011.09.090 http://dx.doi.org/10.1016/j.eswa.2011.09.090
http___www.sciencedirect.com_science_article_pii_S0957417411014138 http://www.sciencedirect.com/science/article/pii/S0957417411014138
kalanithi:1999:CPPBSEGP Co-Evolution of Predator and Prey Behaviors in a Simulated Environment using Genetic Programming
JeevanJKalanithi.html
Kalfat:2016:CS Genetic programming in the simulation of Frp-to-concrete patch-anchored joints
RobinKalfat.html
AliNazari.html
RiadhAl-Mahaidi.html
JayGSanjayan.html
http___dx.doi.org_10.1016_j.compstruct.2015.12.005 http://dx.doi.org/10.1016/j.compstruct.2015.12.005
http___www.sciencedirect.com_science_article_pii_S026382231501082X http://www.sciencedirect.com/science/article/pii/S026382231501082X
kalganova-multiplevalued MultipleValued Combinational Circuits Synthesized using Evolvable Hardware Approach
TatianaKalganova.html
JulianFMiller.html
NataliaGLipnitskaya.html
http___bura.brunel.ac.uk_handle_2438_12330 http://bura.brunel.ac.uk/handle/2438/12330
656752 Some Aspects of an Evolvable Hardware Approach for Multiple-Valued Combinational Circuit Design
TatianaKalganova.html
JulianFMiller.html
TerenceCFogarty.html
https___rdcu.be_dgoZ3 https://rdcu.be/dgoZ3
http___dx.doi.org_10.1007_BFb0057609 http://dx.doi.org/10.1007/BFb0057609
Kalganova:1999:eh Evolving More Efficient Digital Circuits by Allowing Circuit Layout Evolution and Multi-Objective Fitness
TatianaKalganova.html
JulianFMiller.html
http___dx.doi.org_10.1109_EH.1999.785435 http://dx.doi.org/10.1109/EH.1999.785435
kalganova:1999:EDCVL Evolution of the Digital Circuits with Variable Layouts
TatianaKalganova.html
JulianFMiller.html
TerenceCFogarty.html
http___gpbib.cs.ucl.ac.uk_gecco1999_GP-449.pdf http://gpbib.cs.ucl.ac.uk/gecco1999/GP-449.pdf
http___gpbib.cs.ucl.ac.uk_gecco1999_GP-449.ps http://gpbib.cs.ucl.ac.uk/gecco1999/GP-449.ps
alganova:2000:efemvlf An Extrinsic Function-Level Evolvable Hardware Approach
TatianaKalganova.html
http___citeseer.ist.psu.edu_cache_papers_cs_12975_http_zSzzSzwww.dcs.napier.ac.ukzSz_tatianazSzpaperszSzkalganova_EuroGP2000.pdf_kalganova00extrinsic.pdf http://citeseer.ist.psu.edu/cache/papers/cs/12975/http:zSzzSzwww.dcs.napier.ac.ukzSz~tatianazSzpaperszSzkalganova_EuroGP2000.pdf/kalganova00extrinsic.pdf
http___citeseer.ist.psu.edu_kalganova00extrinsic.html http://citeseer.ist.psu.edu/kalganova00extrinsic.html
http___dx.doi.org_10.1007_978-3-540-46239-2_5 http://dx.doi.org/10.1007/978-3-540-46239-2_5
Kalganova:2000:eh Bidirectional Incremental Evolution in Extrinsic Evolvable Hardware
TatianaKalganova.html
http___citeseer.ist.psu.edu_cache_papers_cs_13865_http_zSzzSzwww.dcs.napier.ac.ukzSz_tatianazSzpaperszSzkalganova_nasa2000.pdf_kalganova00bidirectional.pdf http://citeseer.ist.psu.edu/cache/papers/cs/13865/http:zSzzSzwww.dcs.napier.ac.ukzSz~tatianazSzpaperszSzkalganova_nasa2000.pdf/kalganova00bidirectional.pdf
http___citeseer.ist.psu.edu_kalganova00bidirectional.html http://citeseer.ist.psu.edu/kalganova00bidirectional.html
Kalganova:2002:LMPU A probabilistic approach to analyse the evolutionary process in circuit design
TatianaKalganova.html
IgorBaradavka.html
https___bura.brunel.ac.uk_handle_2438_12017 https://bura.brunel.ac.uk/handle/2438/12017
https___bura.brunel.ac.uk_bitstream_2438_12017_1_Fulltext.pdf https://bura.brunel.ac.uk/bitstream/2438/12017/1/Fulltext.pdf
kalganova:2003:grodno Probability prediction method of throat cancer with use of discriminate function
TatianaKalganova.html
IMKarol.html
JamesCunhaWerner.html
NISilkou.html
NataliaGLipnitskaya.html
http___bura.brunel.ac.uk_handle_2438_10435 http://bura.brunel.ac.uk/handle/2438/10435
http___www.geocities.com_jamwer2002_russo.pdf http://www.geocities.com/jamwer2002/russo.pdf
Kaliakatsos:2012:EvoMUSART Interactive Evolution of 8-bit melodies with Genetic Programming towards finding aesthetic measures for sound
MaximosAKaliakatsos-Papakostas.html
MichaelGEpitropakis.html
AndreasFloros.html
MichaelNVrahatis.html
http___dx.doi.org_10.1007_978-3-642-29142-5_13 http://dx.doi.org/10.1007/978-3-642-29142-5_13
Kaliakatsos-Papakostas:2012:SC Controlling interactive evolution of 8-bit melodies with genetic programming
MaximosAKaliakatsos-Papakostas.html
MichaelGEpitropakis.html
AndreasFloros.html
MichaelNVrahatis.html
http___dx.doi.org_10.1007_s00500-012-0872-y http://dx.doi.org/10.1007/s00500-012-0872-y
Kaliakatsos-Papakostas:thesis Computational intelligence methods for automated musical analysis and synthesis
MaximosAKaliakatsos-Papakostas.html
http___hdl.handle.net_10442_hedi_37332 http://hdl.handle.net/10442/hedi/37332
http___dx.doi.org_10.12681_eadd_37332 http://dx.doi.org/10.12681/eadd/37332
KALIMUTHU:2020:EC Electrochemical impedance spectra of RuO2 during oxygen evolution reaction studied by the distribution function of relaxation times
KalimuthuVijayaSankar.html
RinatAttias.html
YoedTsur.html
http___www.sciencedirect.com_science_article_pii_S1388248119303042 http://www.sciencedirect.com/science/article/pii/S1388248119303042
http___dx.doi.org_10.1016_j.elecom.2019.106641 http://dx.doi.org/10.1016/j.elecom.2019.106641
DBLP:journals/nca/KalitaMDH20 Genetic programming-assisted multi-scale optimization for multi-objective dynamic performance of laminated composites: the advantage of more elementary-level analyses
KanakKalita.html
TanmoyMukhopadhyay.html
ParthaPratimDey.html
SalilHaldar.html
https___doi.org_10.1007_s00521-019-04280-z https://doi.org/10.1007/s00521-019-04280-z
http___dx.doi.org_10.1007_s00521-019-04280-z http://dx.doi.org/10.1007/s00521-019-04280-z
https___dblp.org_rec_journals_nca_KalitaMDH20.bib https://dblp.org/rec/journals/nca/KalitaMDH20.bib
kalita:IJIDeM An efficient approach for metaheuristic-based optimization of composite laminates using genetic programming
KanakKalita.html
ShankarChakraborty.html
http___link.springer.com_article_10.1007_s12008-022-01175-7 http://link.springer.com/article/10.1007/s12008-022-01175-7
http___dx.doi.org_10.1007_s12008-022-01175-7 http://dx.doi.org/10.1007/s12008-022-01175-7
Kalkreuth:2015:ieeeSSCI Improving Convergence in Cartesian Genetic Programming Using Adaptive Crossover, Mutation and Selection
RomanTobiasKalkreuth.html
GuenterRudolph.html
JorgKrone.html
http___dx.doi.org_10.1109_SSCI.2015.201 http://dx.doi.org/10.1109/SSCI.2015.201
Kalkreuth:2016:cec More Efficient Evolution of Small Genetic Programs in Cartesian Genetic Programming by Using Genotypic Age
RomanTobiasKalkreuth.html
GuenterRudolph.html
JoergKrone.html
http___dx.doi.org_10.1109_CEC.2016.7748330 http://dx.doi.org/10.1109/CEC.2016.7748330
Kalkreuth:2017:EuroGP A New Subgraph Crossover for Cartesian Genetic Programming
RomanTobiasKalkreuth.html
GuenterRudolph.html
AndreDroschinsky.html
http___dx.doi.org_10.1007_978-3-319-55696-3_19 http://dx.doi.org/10.1007/978-3-319-55696-3_19
Kalkreuth:2018:arxiv Towards Advanced Phenotypic Mutations in Cartesian Genetic Programming
RomanTobiasKalkreuth.html
http___arxiv.org_abs_1803.06127 http://arxiv.org/abs/1803.06127
DBLP:conf/ijcci/Kalkreuth19 Two New Mutation Techniques for Cartesian Genetic Programming
RomanTobiasKalkreuth.html
https___doi.org_10.5220_0008070100820092 https://doi.org/10.5220/0008070100820092
http___dx.doi.org_10.5220_0008070100820092 http://dx.doi.org/10.5220/0008070100820092
https___dblp.org_rec_conf_ijcci_Kalkreuth19.bib https://dblp.org/rec/conf/ijcci/Kalkreuth19.bib
DBLP:conf/ijcci/KalkreuthD19 On the Time Complexity of Simple Cartesian Genetic Programming
RomanTobiasKalkreuth.html
AndreDroschinsky.html
https___doi.org_10.5220_0008070201720179 https://doi.org/10.5220/0008070201720179
http___dx.doi.org_10.5220_0008070201720179 http://dx.doi.org/10.5220/0008070201720179
https___dblp.org_rec_conf_ijcci_KalkreuthD19.bib https://dblp.org/rec/conf/ijcci/KalkreuthD19.bib
DBLP:conf/ijcci/Kalkreuth20 A Comprehensive Study on Subgraph Crossover in Cartesian Genetic Programming
RomanTobiasKalkreuth.html
https___doi.org_10.5220_0010110700590070 https://doi.org/10.5220/0010110700590070
http___dx.doi.org_10.5220_0010110700590070 http://dx.doi.org/10.5220/0010110700590070
https___dblp.org_rec_conf_ijcci_Kalkreuth20.bib https://dblp.org/rec/conf/ijcci/Kalkreuth20.bib
kalkreuth:thesis Reconsideration and extension of Cartesian genetic programming
RomanTobiasKalkreuth.html
http___hdl.handle.net_2003_40646 http://hdl.handle.net/2003/40646
https___eldorado.tu-dortmund.de_handle_2003_40646 https://eldorado.tu-dortmund.de/handle/2003/40646
https___eldorado.tu-dortmund.de_bitstream_2003_40646_1_dissertation-roman-kalkreuth.pdf https://eldorado.tu-dortmund.de/bitstream/2003/40646/1/dissertation-roman-kalkreuth.pdf
http___dx.doi.org_10.17877_DE290R-22504 http://dx.doi.org/10.17877/DE290R-22504
kalkreuth:2021:CI An Empirical Study on Insertion and Deletion Mutation in Cartesian Genetic Programming
RomanTobiasKalkreuth.html
http___link.springer.com_chapter_10.1007_978-3-030-70594-7_4 http://link.springer.com/chapter/10.1007/978-3-030-70594-7_4
http___dx.doi.org_10.1007_978-3-030-70594-7_4 http://dx.doi.org/10.1007/978-3-030-70594-7_4
kalkreuth:2022:GECCOcomp Phenotypic Duplication and Inversion in Cartesian Genetic Programming applied to Boolean Function Learning
RomanTobiasKalkreuth.html
http___dx.doi.org_10.1145_3520304.3529065 http://dx.doi.org/10.1145/3520304.3529065
DBLP:conf/ppsn/Kalkreuth22 Towards Discrete Phenotypic Recombination in Cartesian Genetic Programming
RomanTobiasKalkreuth.html
https___dblp.org_rec_conf_ppsn_Kalkreuth22.bib https://dblp.org/rec/conf/ppsn/Kalkreuth22.bib
http___dx.doi.org_10.1007_978-3-031-14721-0_5 http://dx.doi.org/10.1007/978-3-031-14721-0_5
DBLP:conf/gecco/KalkreuthSV22 Graph-based genetic programming
RomanTobiasKalkreuth.html
LeoFrancosoDalPiccolSotto.html
ZdenekVasicek.html
https___doi.org_10.1145_3520304.3533657 https://doi.org/10.1145/3520304.3533657
http___dx.doi.org_10.1145_3520304.3533657 http://dx.doi.org/10.1145/3520304.3533657
https___dblp.org_rec_conf_gecco_KalkreuthSV22.bib https://dblp.org/rec/conf/gecco/KalkreuthSV22.bib
DBLP:conf/ijcci/Kalkreuth22 Towards Phenotypic Duplication and Inversion in Cartesian Genetic Programming
RomanTobiasKalkreuth.html
https___doi.org_10.5220_0011551000003332 https://doi.org/10.5220/0011551000003332
http___dx.doi.org_10.5220_0011551000003332 http://dx.doi.org/10.5220/0011551000003332
https___dblp.org_rec_conf_ijcci_Kalkreuth22.bib https://dblp.org/rec/conf/ijcci/Kalkreuth22.bib
kalkreuth:2023:GECCOcomp Towards a General Boolean Function Benchmark Suite
RomanTobiasKalkreuth.html
ZdenekVasicek.html
JakubHusa.html
DiederickVermetten.html
FurongYe.html
ThomasBack.html
http___dx.doi.org_10.1145_3583133.3590685 http://dx.doi.org/10.1145/3583133.3590685
Kalmykov:1996:WSC The Integral Algorithm of Organization and Evolution of the Living Up to Culture - the Possible Instrument for Genetic Programming
VyacheslavKalmykov.html
http___www.calresco.org_kalmykov_vlkiaoe.txt http://www.calresco.org/kalmykov/vlkiaoe.txt
Kalra200799 Genetic programming for retrieving missing information in wave records along the west coast of India
RuchiKalra.html
MCDeo.html
http___dx.doi.org_10.1016_j.apor.2007.11.002 http://dx.doi.org/10.1016/j.apor.2007.11.002
http___www.sciencedirect.com_science_article_B6V1V-4RH2SVM-1_2_b6c7570e30be137676dfac0cb711a4db http://www.sciencedirect.com/science/article/B6V1V-4RH2SVM-1/2/b6c7570e30be137676dfac0cb711a4db
Ruchi:2008:IJED Genetic Programming to Estimate Coastal Waves from Deep Water Measurements
RuchiKalra.html
MCDeo.html
RajKumar.html
VijayKAgarwal.html
http___www.ceser.in_ceserp_index.php_ijed_article_view_374 http://www.ceser.in/ceserp/index.php/ijed/article/view/374
Kalyani:2015:IJST Application of Multi-Core Parallel Programming to a Combination of Ant Colony Optimization and Genetic Algorithm
RishitaKalyani.html
http___www.indjst.org_index.php_indjst_article_view_59091 http://www.indjst.org/index.php/indjst/article/view/59091
http___dx.doi.org_10.17485_ijst_2015_v8iS2_59091 http://dx.doi.org/10.17485/ijst/2015/v8iS2/59091
kalyur:1995:EDPGP Error Driven Parallelization of a Genetic Program
SeshaKalyur.html
Kalyuzhnaya:2020:GECCOcomp Automatic Evolutionary Learning of Composite Models with Knowledge Enrichment
AnnaVKalyuzhnaya.html
NikolayONikitin.html
PavelVychuzhanin.html
AlexanderAHvatov.html
AlexanderBoukhanovsky.html
http___www.human-competitive.org_sites_default_files_nikitin_human_competitive.txt http://www.human-competitive.org/sites/default/files/nikitin_human_competitive.txt
http___www.human-competitive.org_sites_default_files_automatic_evolutionary_learning_of_composite_models_with_knowledge_enrichment.pdf http://www.human-competitive.org/sites/default/files/automatic_evolutionary_learning_of_composite_models_with_knowledge_enrichment.pdf
https___doi.org_10.1145_3377929.3398167 https://doi.org/10.1145/3377929.3398167
http___dx.doi.org_10.1145_3377929.3398167 http://dx.doi.org/10.1145/3377929.3398167
http___www.human-competitive.org_sites_default_files_hummies-nikitin-fedot-automl.mp4 http://www.human-competitive.org/sites/default/files/hummies-nikitin-fedot-automl.mp4
https___youtu.be_8lj9GSmoqqE https://youtu.be/8lj9GSmoqqE
https___github.com_ITMO-NSS-team_FEDOT.Algs https://github.com/ITMO-NSS-team/FEDOT.Algs
Kalyuzhnaya:2020:actcognitive Freymvork generativnogo avtomaticheskogo mashinnogo obucheniya FEDOT
AnnaVKalyuzhnaya.html
https___actcognitive.org_platformy_freymvork-generativnogo-avtomaticheskogo-mashinnogo-obucheniya-fedot https://actcognitive.org/platformy/freymvork-generativnogo-avtomaticheskogo-mashinnogo-obucheniya-fedot
https___github.com_ITMO-NSS-team_FEDOT.Algs https://github.com/ITMO-NSS-team/FEDOT.Algs
Kalyuzhnaya:2021:ITMO.NEWS Hackathons in Education: ITMO Team Shares Their Experience
AnnaVKalyuzhnaya.html
IlyaRevin.html
https___news.itmo.ru_en_university_live_achievements_news_10409_ https://news.itmo.ru/en/university_live/achievements/news/10409/
https___github.com_ITMO-NSS-team_FEDOT.Algs https://github.com/ITMO-NSS-team/FEDOT.Algs
kalyuzhnaya:2021:Entropy Towards Generative Design of Computationally Efficient Mathematical Models with Evolutionary Learning
AnnaVKalyuzhnaya.html
NikolayONikitin.html
AlexanderAHvatov.html
MikhailAMaslyaev.html
MikhailYachmenkov.html
AlexanderBoukhanovsky.html
https___www.mdpi.com_1099-4300_23_1_28 https://www.mdpi.com/1099-4300/23/1/28
http___dx.doi.org_10.3390_e23010028 http://dx.doi.org/10.3390/e23010028
Kamali:2017:AMM Takagi-Sugeno fuzzy modelling of some nonlinear problems using ant colony programming
MohdZahurinBinMohamedKamali.html
NallasamyKumaresan.html
KuruRatnavelu.html
http___dx.doi.org_10.1016_j.apm.2017.04.019 http://dx.doi.org/10.1016/j.apm.2017.04.019
http___www.sciencedirect.com_science_article_pii_S0307904X17302913 http://www.sciencedirect.com/science/article/pii/S0307904X17302913
Kamalov:2021:EUSIPCO PaZoe: classifying time series with few labels
MikhailKamalov.html
AurelieBoisbunon.html
CarloFanara.html
IngridGrenet.html
JonathanDaeden.html
http___dx.doi.org_10.23919_EUSIPCO54536.2021.9615924 http://dx.doi.org/10.23919/EUSIPCO54536.2021.9615924
Kamalov:2023:DSP SGraphZoe: Explainable self-supervised framework for signal-based anomaly detection
MikhailKamalov.html
LucaUggeri.html
IngridGrenet.html
JonathanDaeden.html
http___dx.doi.org_10.1109_DSP58604.2023.10167944 http://dx.doi.org/10.1109/DSP58604.2023.10167944
kamani:1995:BLICAARIDE Behavior Learning and Individual Cooperation in Autonomous Agents as a Result of Interaction Dynamics with the Environment
SejalKamani.html
Kamath:2011:AEAfFGEPR An Evolutionary-based Approach for Feature Generation: Eukaryotic Promoter Recognition
UdayKamath.html
KennethDeJong.html
AmardaShehu.html
http___dx.doi.org_10.1109_CEC.2011.5949629 http://dx.doi.org/10.1109/CEC.2011.5949629
Kamath:2012:GPnew Using Quantitative Genetics and Phenotypic Traits in Genetic Programming
UdayKamath.html
JeffreyKBassett.html
KennethDeJong.html
http___dx.doi.org_10.5772_50143 http://dx.doi.org/10.5772/50143
Kamath:2012:cbb An Evolutionary Algorithm Approach for Feature Generation from Sequence Data and Its Application to DNA Splice Site Prediction
UdayKamath.html
JackCompton.html
RezartaIslamaj-Dogan.html
KennethDeJong.html
AmardaShehu.html
http___dx.doi.org_10.1109_TCBB.2012.53 http://dx.doi.org/10.1109/TCBB.2012.53
Kamath:2014:GECCO SAX-EFG: an evolutionary feature generation framework for time series classification
UdayKamath.html
JessicaLin.html
KennethDeJong.html
http___doi.acm.org_10.1145_2576768.2598321 http://doi.acm.org/10.1145/2576768.2598321
http___dx.doi.org_10.1145_2576768.2598321 http://dx.doi.org/10.1145/2576768.2598321
Kambekar:2010:SOS Wave simulation and forecasting using wind time history and data-driven methods
ARKambekar.html
MCDeo.html
http___dx.doi.org_10.1080_17445300903439223 http://dx.doi.org/10.1080/17445300903439223
Kamel:2023:GPEM Evolutionary design and analysis of ribozyme-based logic gates
NicolasKamel.html
NawwafKharma.html
JoeyPaquet.html
https___rdcu.be_dluT0 https://rdcu.be/dluT0
http___dx.doi.org_10.1007_s10710-023-09459-x http://dx.doi.org/10.1007/s10710-023-09459-x
https___github.com_nickkamel_Truth_Seq_Er_CLI https://github.com/nickkamel/Truth_Seq_Er_CLI
Kameya:2008:gecco Accelerating genetic programming by frequent subtree mining
YoshitakaKameya.html
JunichiKumagai.html
YoshiakiKurata.html
http___gpbib.cs.ucl.ac.uk_gecco2008_docs_p1203.pdf http://gpbib.cs.ucl.ac.uk/gecco2008/docs/p1203.pdf
http___dx.doi.org_10.1145_1389095.1389332 http://dx.doi.org/10.1145/1389095.1389332
kamio:2002:IWES A Co-evolutionary Approach to Parallel Distributed Genetic Programming
ShotaroKamio.html
HitoshiIba.html
http___www.iba.t.u-tokyo.ac.jp_papers_2002_kamioIWES2002.pdf http://www.iba.t.u-tokyo.ac.jp/papers/2002/kamioIWES2002.pdf
http___www.race.u-tokyo.ac.jp_uedalab_IWES_IWES02_ http://www.race.u-tokyo.ac.jp/uedalab/IWES/IWES02/
Kamio:2003:eh Researches on Ingeniously Behaving Agents
ShotaroKamio.html
HongweiLiu.html
HideyukiMitsuhasi.html
HitoshiIba.html
http___ieeexplore.ieee.org_iel5_8637_27376_01217668.pdf_tp__arnumber_1217668_isnumber_27376 http://ieeexplore.ieee.org/iel5/8637/27376/01217668.pdf?tp=&arnumber=1217668&isnumber=27376
EHW EHW
http___ehw.jpl.nasa.gov http://ehw.jpl.nasa.gov
kamio:2003:gecco Integration of Genetic Programming and Reinforcement Learning for Real Robots
ShotaroKamio.html
HideyukiMitsuhashi.html
HitoshiIba.html
http___dx.doi.org_10.1007_3-540-45105-6_59 http://dx.doi.org/10.1007/3-540-45105-6_59
Kamio:2003:RattrrAewahr Real-time adaptation technique to real robots: An experiment with a humanoid robot
ShotaroKamio.html
HitoshiIba.html
http___dx.doi.org_10.1109_CEC.2003.1299618 http://dx.doi.org/10.1109/CEC.2003.1299618
kamio:2004:ecoasfrr Evolutionary Construction of a Simulator for Real Robots
ShotaroKamio.html
HitoshiIba.html
http___www.iba.k.u-tokyo.ac.jp_papers_2004_kamioCEC2004.pdf http://www.iba.k.u-tokyo.ac.jp/papers/2004/kamioCEC2004.pdf
http___dx.doi.org_10.1109_CEC.2004.1331170 http://dx.doi.org/10.1109/CEC.2004.1331170
Kamio:2004:IPSJ Integration of Genetic Programming and Reinforcement Learning for Real Robots
ShotaroKamio.html
HideyukiMitsuhashi.html
HitoshiIba.html
http___id.nii.ac.jp_1001_00017238_ http://id.nii.ac.jp/1001/00017238/
kamio:2005:TEC Adaptation technique for integrating genetic programming and reinforcement learning for real robots
ShotaroKamio.html
HitoshiIba.html
http___dx.doi.org_10.1109_TEVC.2005.850290 http://dx.doi.org/10.1109/TEVC.2005.850290
oai:inderscience.com:6616 Augmented interactive evolutionary computation for composition
MotokiKamitani.html
TadashiAe.html
http___www.inderscience.com_link.php_id_6616 http://www.inderscience.com/link.php?id=6616
http___dx.doi.org_10.1504_04.6616 http://dx.doi.org/10.1504/04.6616
Kammerer:2019:EUROCAST Data Aggregation for Reducing Training Data in Symbolic Regression
LukasKammerer.html
GabrielKronberger.html
MichaelKommenda.html
http___dx.doi.org_10.1007_978-3-030-45093-9_46 http://dx.doi.org/10.1007/978-3-030-45093-9_46
Kammerer:2019:GPTP Symbolic Regression by Exhaustive Search: Reducing the Search Space Using Syntactical Constraints and Efficient Semantic Structure Deduplication
LukasKammerer.html
GabrielKronberger.html
BogdanBurlacu.html
StephanMWinkler.html
MichaelKommenda.html
MichaelAffenzeller.html
http___dx.doi.org_10.1007_978-3-030-39958-0_5 http://dx.doi.org/10.1007/978-3-030-39958-0_5
Kammerer:2021:GECCOcomp Empirical Analysis of Variance for Genetic Programming based Symbolic Regression
LukasKammerer.html
GabrielKronberger.html
StephanMWinkler.html
http___dx.doi.org_10.1145_3449726.3459486 http://dx.doi.org/10.1145/3449726.3459486
Kampouridis:2010:cec EDDIE for investment opportunities forecasting: Extending the search space of the GP
MichaelKampouridis.html
EdwardPKTsang.html
http___dx.doi.org_10.1109_CEC.2010.5586094 http://dx.doi.org/10.1109/CEC.2010.5586094
Kampouridis:2011:CIFEr Investigating the effect of different GP algorithms on the non-stationary behavior of financial markets
MichaelKampouridis.html
Shu-HengChen.html
EdwardPKTsang.html
http___dx.doi.org_10.1109_CIFER.2011.5953568 http://dx.doi.org/10.1109/CIFER.2011.5953568
Kampouridis:2011:Yap The Market Fraction Hypothesis under Different Genetic Programming Algorithms
MichaelKampouridis.html
Shu-HengChen.html
EdwardPKTsang.html
http___www.amazon.com_Information-Systems-Global-Financial-Markets_dp_1613501625 http://www.amazon.com/Information-Systems-Global-Financial-Markets/dp/1613501625
http___dx.doi.org_10.4018_978-1-61350-162-7.ch003 http://dx.doi.org/10.4018/978-1-61350-162-7.ch003
Kampouridis:thesis Computational Intelligence in Financial Forecasting and Agent-Based Modeling: Applications of Genetic Programming and Self-Organizing Maps
MichaelKampouridis.html
http___www.kampouridis.net_papers_thesis.pdf http://www.kampouridis.net/papers/thesis.pdf
http___ethos.bl.uk_OrderDetails.do_did_57_uin_uk.bl.ethos.548594 http://ethos.bl.uk/OrderDetails.do?did=57&uin=uk.bl.ethos.548594
Kampouridis201241 Market fraction hypothesis: A proposed test
MichaelKampouridis.html
Shu-HengChen.html
EdwardPKTsang.html
http___dx.doi.org_10.1016_j.irfa.2011.06.009 http://dx.doi.org/10.1016/j.irfa.2011.06.009
http___www.sciencedirect.com_science_article_pii_S1057521911000706 http://www.sciencedirect.com/science/article/pii/S1057521911000706
Kampouridis:2013:CEC An Initial Investigation of Choice Function Hyper-Heuristics for the Problem of Financial Forecasting
MichaelKampouridis.html
http___dx.doi.org_10.1109_CEC.2013.6557857 http://dx.doi.org/10.1109/CEC.2013.6557857
Kampouridis:2013:CECa A GP approach for Price-Speed Optimizing Negotiation
MichaelKampouridis.html
KwangMongSim.html
http___dx.doi.org_10.1109_CEC.2013.6557698 http://dx.doi.org/10.1109/CEC.2013.6557698
Kampouridis:2013:TAAI Using Attribute Construction to Improve the Predictability of a GP Financial Forecasting Algorithm
MichaelKampouridis.html
FernandoEstebanBarrilOtero.html
http___dx.doi.org_10.1109_TAAI.2013.24 http://dx.doi.org/10.1109/TAAI.2013.24
journals/soco/KampouridisO17 Heuristic procedures for improving the predictability of a genetic programming financial forecasting algorithm
MichaelKampouridis.html
FernandoEstebanBarrilOtero.html
http___dx.doi.org_10.1007_s00500-015-1614-8 http://dx.doi.org/10.1007/s00500-015-1614-8
Kamrath:2013:GECCOcomp Using Supportive Coevolution to Evolve Self-Configuring Crossover
NathanielRKamrath.html
BrianWGoldman.html
DanielRTauritz.html
http___doi.acm.org_10.1145_2464576.2482727 http://doi.acm.org/10.1145/2464576.2482727
http___dx.doi.org_10.1145_2464576.2482727 http://dx.doi.org/10.1145/2464576.2482727
Kamrath:2020:GECCOcomp The Automated Design of Local Optimizers for Memetic Algorithms Employing Supportive Coevolution
NathanielRKamrath.html
AaronSPope.html
DanielRTauritz.html
https___doi.org_10.1145_3377929.3398132 https://doi.org/10.1145/3377929.3398132
http___dx.doi.org_10.1145_3377929.3398132 http://dx.doi.org/10.1145/3377929.3398132
conf/eurographics/KanDK17 Discovering New Monte Carlo Noise Filters with Genetic Programming
PeterKan.html
MaximDavletaliyev.html
HannesKaufmann.html
http___diglib.eg.org_handle_10.2312_2631250 http://diglib.eg.org/handle/10.2312/2631250
http___dx.doi.org_10.2312_egsh.20171006 http://dx.doi.org/10.2312/egsh.20171006
kanani:2023:GGP Graph-Based Mutations for Music Generation
MaziarKanani.html
SeanO'Leary.html
JamesMcDermott.html
http___dx.doi.org_10.1145_3583133.3596318 http://dx.doi.org/10.1145/3583133.3596318
Kandpal:2010:ICMIC A genetic programming based methodology for variable interaction determination in multivariate dynamical systems
ManojKandpal.html
KalyanMynampatiChakravarthy.html
SLakshminarayanan.html
http___ieeexplore.ieee.org_search_srchabstract.jsp_tp__arnumber_5553570 http://ieeexplore.ieee.org/search/srchabstract.jsp?tp=&arnumber=5553570
Kandpal:2013:IETsb Genetic programming-based approach to elucidate biochemical interaction networks from data
ManojKandpal.html
KalyanMynampatiChakravarthy.html
SamavedhamLakshminarayanan.html
http___dx.doi.org_10.1049_iet-syb.2012.0011 http://dx.doi.org/10.1049/iet-syb.2012.0011
Kandpal:thesis Reconstructing Causal Networks From Temporal Data - A Genetic Programming Based Approach
ManojKandpal.html
https___core.ac.uk_download_pdf_48808545.pdf https://core.ac.uk/download/pdf/48808545.pdf
http___scholarbank.nus.edu.sg_handle_10635_118589 http://scholarbank.nus.edu.sg/handle/10635/118589
http___scholarbank.nus.edu.sg_bitstream_10635_118589_1_KandpalM.pdf http://scholarbank.nus.edu.sg/bitstream/10635/118589/1/KandpalM.pdf
Kane:2020:ACC Machine Learning Control for Floating Offshore Wind Turbine Individual Blade Pitch Control
MichaelBKane.html
http___dx.doi.org_10.23919_ACC45564.2020.9147912 http://dx.doi.org/10.23919/ACC45564.2020.9147912
Kang:2017:GECCO Empirical Evaluation of Conditional Operators in GP Based Fault Localization
DahyunKang.html
JeongjuSohn.html
ShinYoo.html
http___doi.acm.org_10.1145_3071178.3071263 http://doi.acm.org/10.1145/3071178.3071263
http___dx.doi.org_10.1145_3071178.3071263 http://dx.doi.org/10.1145/3071178.3071263
kang:2015:Energies Electricity Customer Clustering Following Experts' Principle for Demand Response Applications
JimyungKang.html
Jee-HyongLee.html
https___www.mdpi.com_1996-1073_8_10_12242 https://www.mdpi.com/1996-1073/8/10/12242
http___dx.doi.org_10.3390_en81012242 http://dx.doi.org/10.3390/en81012242
Kang:2006:apwies Code Duplication and Developmental Evaluation in Genetic Programming
MoonyoungKang.html
JungseokShin.html
Tuan-HaoHoang.html
RI_Bob_McKay.html
DarylEssam.html
NaokiMori.html
NguyenXuanHoai.html
http___sc.snu.ac.kr_PAPERS_compression.pdf http://sc.snu.ac.kr/PAPERS/compression.pdf
Kang:2023:GI Towards Objective-Tailored Genetic Improvement Through Large Language Models
SungminKang.html
ShinYoo.html
https___arxiv.org_abs_2304.09386 https://arxiv.org/abs/2304.09386
http___gpbib.cs.ucl.ac.uk_gi2023_Kang_2023_GI.pdf http://gpbib.cs.ucl.ac.uk/gi2023/Kang_2023_GI.pdf
http___dx.doi.org_10.1109_GI59320.2023.00013 http://dx.doi.org/10.1109/GI59320.2023.00013
http___gpbib.cs.ucl.ac.uk_gi2023_Kang_GI2023.pdf http://gpbib.cs.ucl.ac.uk/gi2023/Kang_GI2023.pdf
http___gpbib.cs.ucl.ac.uk_gi2023_Kang_GI2023.mp4 http://gpbib.cs.ucl.ac.uk/gi2023/Kang_GI2023.mp4
https___www.youtube.com_watch_v_k3AkQ9liAJc_list_PLI8fiFpB7BoJLh6cUpGBjyeB1hM9DET1V_index_6 https://www.youtube.com/watch?v=k3AkQ9liAJc&list=PLI8fiFpB7BoJLh6cUpGBjyeB1hM9DET1V&index=6
Young-MinKang:1999:echraephm An efficient control over human running animation with extension of planar hopper model
Young-MinKang.html
Hwan-GueCho.html
Ee-TaekLee.html
http___www3.interscience.wiley.com_cgi-bin_abstract_68501003_START http://www3.interscience.wiley.com/cgi-bin/abstract/68501003/START
http___dx.doi.org_10.1002__SICI_1099-1778_199910_12_10_4_3C215__AID-VIS209_3E3.0.CO_3B2-W http://dx.doi.org/10.1002/(SICI)1099-1778(199910/12)10:4%3C215::AID-VIS209%3E3.0.CO%3B2-W
Kang:2002:IJCNN A Multi-Level And Multi-Scale Evolutionary Modeling System For Scientific Data
ZhouKang.html
YanLi.html
HugodeGaris.html
Li-ShanKang.html
http___dx.doi.org_10.1109_IJCNN.2002.1005565 http://dx.doi.org/10.1109/IJCNN.2002.1005565
Kanimozhi:2015:ICCCI Majority Voting of Semantic Genetic Programming for Microarray data
VKanimozhi.html
BChellaprabha.html
http___dx.doi.org_10.1109_ICCCI.2015.7218111 http://dx.doi.org/10.1109/ICCCI.2015.7218111
Kannappan:2014:GPTP Analyzing a Decade of Human-Competitive (``HUMIE'') Winners: What Can We Learn?
KarthikKannappan.html
LeeSpector.html
MosheSipper.html
ThomasHelmuth.html
WilliamLaCava.html
JakeWisdom.html
OmriBernstein.html
https___www.google.com_url_q_https_3A_2F_2Fwww.dropbox.com_2Fs_2Ftjpa6afxqibwnno_2FAnaylzing_the_HUMIES.pdf_sa_D_sntz_1_usg_AFQjCNE8ik4YoH_5gi1bs4726ZsJ5kaJYg https://www.google.com/url?q=https%3A%2F%2Fwww.dropbox.com%2Fs%2Ftjpa6afxqibwnno%2FAnaylzing_the_HUMIES.pdf&sa=D&sntz=1&usg=AFQjCNE8ik4YoH_5gi1bs4726ZsJ5kaJYg
http___dx.doi.org_10.1007_978-3-319-16030-6_9 http://dx.doi.org/10.1007/978-3-319-16030-6_9
Kantor:2021:GECCO Simulated Annealing for Symbolic Regression
DanielSilvaKantor.html
FernandoJoseVonZuben.html
FabricioOlivettideFranca.html
http___dx.doi.org_10.1145_3449639.3459345 http://dx.doi.org/10.1145/3449639.3459345
kantschik:1999:m-egGP Meta-Evolution in Graph GP
WolfgangKantschik.html
PeterDittrich.html
MarkusBrameier.html
WolfgangBanzhaf.html
http___ls11-www.informatik.uni-dortmund.de_people_wkantsch_Publications_metaEuroGP99.ps.gz http://ls11-www.informatik.uni-dortmund.de/people/wkantsch/Publications/metaEuroGP99.ps.gz
http___citeseer.ist.psu.edu_475739.html http://citeseer.ist.psu.edu/475739.html
http___dx.doi.org_10.1007_3-540-48885-5_2 http://dx.doi.org/10.1007/3-540-48885-5_2
kantschik:2001:EuroGP Linear-Tree GP and its comparison with other GP structures
WolfgangKantschik.html
WolfgangBanzhaf.html
http___dx.doi.org_10.1007_3-540-45355-5_24 http://dx.doi.org/10.1007/3-540-45355-5_24
kantschik:2002:EuroGP Linear-Graph GP---A new GP Structure
WolfgangKantschik.html
WolfgangBanzhaf.html
http___dx.doi.org_10.1007_3-540-45984-7_8 http://dx.doi.org/10.1007/3-540-45984-7_8
Kantschik_Neu Genetische Programmierung und Schach
WolfgangKantschik.html
https___eldorado.tu-dortmund.de_bitstream_2003_25798_1_Kantschik_Neu.pdf https://eldorado.tu-dortmund.de/bitstream/2003/25798/1/Kantschik_Neu.pdf
http___hdl.handle.net_2003_25798 http://hdl.handle.net/2003/25798
https___d-nb.info_997629797_34 https://d-nb.info/997629797/34
http___dx.doi.org_10.17877_DE290R-14457 http://dx.doi.org/10.17877/DE290R-14457
kaplan-unm-diss-final Evolving Software Traders and Detecting Community Structure in Financial Markets
ToddDKaplan.html
https___www.cs.unm.edu__forrest_dissertations_kaplan-unm-diss-final.pdf https://www.cs.unm.edu/~forrest/dissertations/kaplan-unm-diss-final.pdf
kapoor:2023:GECCOcomp Iterative Structure-Based Genetic Programming for Neural Architecture Search
RahulKapoor.html
NelishiaPillay.html
http___dx.doi.org_10.1145_3583133.3590759 http://dx.doi.org/10.1145/3583133.3590759
kapoor:2024:GPEM A genetic programming approach to the automated design of CNN models for image classification and video shorts creation
RahulKapoor.html
NelishiaPillay.html
https___rdcu.be_dBmnH https://rdcu.be/dBmnH
http___dx.doi.org_10.1007_s10710-024-09483-5 http://dx.doi.org/10.1007/s10710-024-09483-5
KAR:2020:TRP Modelling Service Quality Offered by Signalized Intersections from Automobile Users' Perspective in Urban Indian Context
ManaswineeKar.html
SupravaJena.html
AbhishekChakraborty.html
PrasantaKumarBhuyan.html
http___dx.doi.org_10.1016_j.trpro.2020.08.109 http://dx.doi.org/10.1016/j.trpro.2020.08.109
http___www.sciencedirect.com_science_article_pii_S2352146520305251 http://www.sciencedirect.com/science/article/pii/S2352146520305251
journals/nca/Kara13 Empirical modeling of shear strength of steel fiber reinforced concrete beams by gene expression programming
IlkerFatihKara.html
http___dx.doi.org_10.1007_s00521-012-0999-x http://dx.doi.org/10.1007/s00521-012-0999-x
Kara2011 Prediction of shear strength of FRP-reinforced concrete beams without stirrups based on genetic programming
IlkerFatihKara.html
http___dx.doi.org_10.1016_j.advengsoft.2011.02.002 http://dx.doi.org/10.1016/j.advengsoft.2011.02.002
http___www.sciencedirect.com_science_article_B6V1P-52FTG6M-1_2_cc6e82009d687d7917fc13cd45df6fc8 http://www.sciencedirect.com/science/article/B6V1P-52FTG6M-1/2/cc6e82009d687d7917fc13cd45df6fc8
Karaboga20121 Artificial bee colony programming for symbolic regression
DervisKaraboga.html
CelalOzturk.html
NurhanKaraboga.html
BeyzaGorkemli.html
http___dx.doi.org_10.1016_j.ins.2012.05.002 http://dx.doi.org/10.1016/j.ins.2012.05.002
http___www.sciencedirect.com_science_article_pii_S0020025512003295 http://www.sciencedirect.com/science/article/pii/S0020025512003295
karabulut:2008:MCA Long Term Energy Consumption Forecasting Using Genetic Programming
KorhanKarabulut.html
AhmetAlkan.html
AhmetSYilmaz.html
https___www.mdpi.com_2297-8747_13_2_71 https://www.mdpi.com/2297-8747/13/2/71
http___dx.doi.org_10.3390_mca13020071 http://dx.doi.org/10.3390/mca13020071
karahan:2013:AppliedPhysicsA A comparison of genetic programming and neural networks; new formulations for electrical resistivity of Zn-Fe alloys
IsmailHakkiKarahan.html
RasimOzdemir.html
BurakErkayman.html
http___link.springer.com_article_10.1007_s00339-013-7544-3 http://link.springer.com/article/10.1007/s00339-013-7544-3
http___dx.doi.org_10.1007_s00339-013-7544-3 http://dx.doi.org/10.1007/s00339-013-7544-3
karahan:2018:Pramana Genetic programming modelling for the electrical resistivity of Cu-Zn thin films
IsmailHakkiKarahan.html
RasimOzdemir.html
http___link.springer.com_article_10.1007_s12043-018-1613-2 http://link.springer.com/article/10.1007/s12043-018-1613-2
http___dx.doi.org_10.1007_s12043-018-1613-2 http://dx.doi.org/10.1007/s12043-018-1613-2
karakasidis:2022:Fluids The Electrical Conductivity of Ionic Liquids: Numerical and Analytical Machine Learning Approaches
TheodorosEKarakasidis.html
FilipposSofos.html
ChristosTsonos.html
https___www.mdpi.com_2311-5521_7_10_321 https://www.mdpi.com/2311-5521/7/10/321
http___dx.doi.org_10.3390_fluids7100321 http://dx.doi.org/10.3390/fluids7100321
Karakasis:2006:CEC Data Mining based on Gene Expression Programming and Clonal Selection
VasileiosKKarakasis.html
Andreas-GeorgiosStafylopatis.html
http___dx.doi.org_10.1109_CEC.2006.1688353 http://dx.doi.org/10.1109/CEC.2006.1688353
Karakasis:2008:TEC Efficient Evolution of Accurate Classification Rules Using a Combination of Gene Expression Programming and Clonal Selection
VasileiosKKarakasis.html
Andreas-GeorgiosStafylopatis.html
http___dx.doi.org_10.1109_TEVC.2008.920673 http://dx.doi.org/10.1109/TEVC.2008.920673
Karakatic:2015:KMO A Novel Approach to Generating Test Cases with Genetic Programming
SasoKarakatic.html
TinaSchweighofer.html
http___dx.doi.org_10.1007_978-3-319-21009-4_20 http://dx.doi.org/10.1007/978-3-319-21009-4_20
http___dx.doi.org_10.1007_978-3-319-21009-4_20 http://dx.doi.org/10.1007/978-3-319-21009-4_20
conf/ijcci/KarakaticHP17 Experiments with Lazy Evaluation of Classification Decision Trees Made with Genetic Programming
SasoKarakatic.html
MarjanHericko.html
ViliPodgorelec.html
http___www.scitepress.org_DigitalLibrary_ProceedingsDetails.aspx_ID_cC2jSedaYNw_ http://www.scitepress.org/DigitalLibrary/ProceedingsDetails.aspx?ID=cC2jSedaYNw=
http___dx.doi.org_10.5220_0006515203480353 http://dx.doi.org/10.5220/0006515203480353
Karakatic:2018:GECCOcomp Building boosted classification tree ensemble with genetic programming
SasoKarakatic.html
ViliPodgorelec.html
http___dx.doi.org_10.1145_3205651.3205774 http://dx.doi.org/10.1145/3205651.3205774
DBLP:conf/ijcci/KarakaticHP17a Improving Genetic Programming for Classification with Lazy Evaluation and Dynamic Weighting
SasoKarakatic.html
MarjanHericko.html
ViliPodgorelec.html
https___doi.org_10.1007_978-3-030-16469-0_4 https://doi.org/10.1007/978-3-030-16469-0_4
http___dx.doi.org_10.1007_978-3-030-16469-0_4 http://dx.doi.org/10.1007/978-3-030-16469-0_4
https___dblp.org_rec_conf_ijcci_KarakaticHP17a.bib https://dblp.org/rec/conf/ijcci/KarakaticHP17a.bib
Karakus2010 Function identification for the intrinsic strength and elastic properties of granitic rocks via genetic programming (GP)
MuratKarakus.html
http___dx.doi.org_10.1016_j.cageo.2010.09.002 http://dx.doi.org/10.1016/j.cageo.2010.09.002
http___www.sciencedirect.com_science_article_B6V7D-51J36C7-1_2_c4feed49145a702b62cf7ac917871262 http://www.sciencedirect.com/science/article/B6V7D-51J36C7-1/2/c4feed49145a702b62cf7ac917871262
karami:2018:NCaA Predicting discharge coefficient of triangular labyrinth weir using extreme learning machine, artificial neural network and genetic programming
HojatKarami.html
SohrabKarimi.html
HosseinBonakdari.html
ShahabodinShamshirband.html
http___link.springer.com_article_10.1007_s00521-016-2588-x http://link.springer.com/article/10.1007/s00521-016-2588-x
http___dx.doi.org_10.1007_s00521-016-2588-x http://dx.doi.org/10.1007/s00521-016-2588-x
karampotsis_computational_2017 Computational Intelligence Techniques for Modelling the Critical Flashover Voltage of Insulators: From Accuracy to Comprehensibility
EvangelosKarampotsis.html
KonstantinosBoulas.html
AlexandrosTzanetos.html
VasiliosPAndrovitsaneas.html
IoannisFGonos.html
GeorgiosDounias.html
IoannisAStathopulos.html
https___doi.org_10.1007_978-3-319-60042-0_35 https://doi.org/10.1007/978-3-319-60042-0_35
http___dx.doi.org_10.1007_978-3-319-60042-0_35 http://dx.doi.org/10.1007/978-3-319-60042-0_35
Karasek:2011:TSP Towards an automatic design of non-cryptographic hash function
JanKarasek.html
RadimBurget.html
OndrejMorsky.html
http___dx.doi.org_10.1109_TSP.2011.6043785 http://dx.doi.org/10.1109/TSP.2011.6043785
Karasek:2013:TSP Genetic programming based classifier in Viola-Jones RapidMiner Image Mining Extension
JanKarasek.html
RadimBurget.html
JanMasek.html
OndrejBenda.html
http___dx.doi.org_10.1109_TSP.2013.6614064 http://dx.doi.org/10.1109/TSP.2013.6614064
Karasek:2013:IC3 Optimization of logistic distribution centers process planning and scheduling
JanKarasek.html
RadimBurget.html
VaclavUher.html
MalayKishoreDutta.html
YogeshKumar.html
http___dx.doi.org_10.1109_IC3.2013.6612217 http://dx.doi.org/10.1109/IC3.2013.6612217
Karasek:2014:SPIN Java evolutionary framework based on genetic programming
JanKarasek.html
RadimBurget.html
MalayKishoreDutta.html
AnushikhaSingh.html
http___dx.doi.org_10.1109_SPIN.2014.6777026 http://dx.doi.org/10.1109/SPIN.2014.6777026
Karasek:2014:MedCom Genetic Programming Operators for Work-Flow Optimization in Logistic Distribution Centers
JanKarasek.html
RadimBurget.html
LukasPovoda.html
MalayKishoreDutta.html
AnushikhaSingh.html
http___dx.doi.org_10.1109_MedCom.2014.7005985 http://dx.doi.org/10.1109/MedCom.2014.7005985
Karasek:thesis High-Level Object Oriented Genetic Programming in Logistic Warehouse Optimization
JanKarasek.html
https___www.vutbr.cz_en_studies_final-thesis_zp_id_76864 https://www.vutbr.cz/en/studies/final-thesis?zp_id=76864
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https___www.vutbr.cz_www_base_zav_prace_soubor_verejne.php_file_id_81279 https://www.vutbr.cz/www_base/zav_prace_soubor_verejne.php?file_id=81279
https___www.vutbr.cz_www_base_zav_prace_soubor_verejne.php_file_id_81310 https://www.vutbr.cz/www_base/zav_prace_soubor_verejne.php?file_id=81310
https___www.vutbr.cz_www_base_zav_prace_soubor_verejne.php_file_id_81309 https://www.vutbr.cz/www_base/zav_prace_soubor_verejne.php?file_id=81309
karasek:2014:MTTCS Logistic Warehouse Process Optimization Through Genetic Programming Algorithm
JanKarasek.html
RadimBurget.html
LukasPovoda.html
http___link.springer.com_chapter_10.1007_978-3-319-06740-7_3 http://link.springer.com/chapter/10.1007/978-3-319-06740-7_3
http___dx.doi.org_10.1007_978-3-319-06740-7_3 http://dx.doi.org/10.1007/978-3-319-06740-7_3
Karaseva:2021:InfoTech On the Automatic Identification of Differential Equations using a Hybrid Evolutionary Approach
TatianaKaraseva.html
EugeneSemenkin.html
http___dx.doi.org_10.1109_InfoTech52438.2021.9548643 http://dx.doi.org/10.1109/InfoTech52438.2021.9548643
karaseva:2022:Algorithms Evolutionary Approaches to the Identification of Dynamic Processes in the Form of Differential Equations and Their Systems
TatianaKaraseva.html
EugeneSemenkin.html
https___www.mdpi.com_1999-4893_15_10_351 https://www.mdpi.com/1999-4893/15/10/351
http___dx.doi.org_10.3390_a15100351 http://dx.doi.org/10.3390/a15100351
Karatahansopoulos:2014:jfor Modelling and Trading the Greek Stock Market with Gene Expression and Genetic Programing Algorithms
AndreasSKarathanasopoulos.html
GeorgiosSermpinis.html
JasonLaws.html
ChristianLDunis.html
http___dx.doi.org_10.1002_for.2290 http://dx.doi.org/10.1002/for.2290
http___dx.doi.org_10.1002_for.2290 http://dx.doi.org/10.1002/for.2290
journals/isafm/Karathanasopoulos17 Modelling and trading the London, New York and Frankfurt stock exchanges with a new gene expression programming trader tool
AndreasSKarathanasopoulos.html
http___dx.doi.org_10.1002_isaf.1401 http://dx.doi.org/10.1002/isaf.1401
conf/ijcci/KaratsiolisS14 Implementing a Software Cache for Genetic Programming Algorithms for Reducing Execution Time
SavvasKaratsiolis.html
ChristosSchizas.html
http___dx.doi.org_10.5220_0005081202590265 http://dx.doi.org/10.5220/0005081202590265
http___dx.doi.org_10.5220_0005081202590265 http://dx.doi.org/10.5220/0005081202590265
KARDANIMohammadnavid2021Hmla Hybrid machine learning algorithms and optimisation techniques as new solution for geotechnical problems
Mohammadnavid_Navid_Kardani.html
https___researchrepository.rmit.edu.au_esploro_outputs_doctoral_Hybrid-machine-learning-algorithms-and-optimisation_9922039224601341_institution_61RMIT_INST https://researchrepository.rmit.edu.au/esploro/outputs/doctoral/Hybrid-machine-learning-algorithms-and-optimisation/9922039224601341?institution=61RMIT_INST
karim:2011:EuroGP A New Approach to Solving 0-1 Multiconstraint Knapsack Problems Using Attribute Grammar with Lookahead
MuhammadRezaulKarim.html
ConorRyan.html
http___dx.doi.org_10.1007_978-3-642-20407-4_22 http://dx.doi.org/10.1007/978-3-642-20407-4_22
Karim:2011:ICHIT A Simple Improvement Heuristic for Attributed Grammatical Evolution with Lookahead to Solve the Multiple Knapsack Problem
MuhammadRezaulKarim.html
ConorRyan.html
http___dx.doi.org_10.1007_978-3-642-24082-9_34 http://dx.doi.org/10.1007/978-3-642-24082-9_34
Karim:2011:NICSO Degeneracy Reduction or Duplicate Elimination? An Analysis on the Performance of Attributed Grammatical Evolution with Lookahead to Solve the Multiple Knapsack Problem
MuhammadRezaulKarim.html
ConorRyan.html
http___dx.doi.org_10.1007_978-3-642-24094-2_18 http://dx.doi.org/10.1007/978-3-642-24094-2_18
Karim:2012:GECCO Sensitive ants are sensible ants
MuhammadRezaulKarim.html
ConorRyan.html
http___dx.doi.org_10.1145_2330163.2330271 http://dx.doi.org/10.1145/2330163.2330271
Karim:2012:MC Attributed Grammatical Evolution with Lookahead for the Multiple Knapsack Problem
MuhammadRezaulKarim.html
ConorRyan.html
http___dx.doi.org_10.1007_s12293-012-0097-8 http://dx.doi.org/10.1007/s12293-012-0097-8
Karim:2014:GECCOcomp On improving grammatical evolution performance in symbolic regression with attribute grammar
MuhammadRezaulKarim.html
ConorRyan.html
http___doi.acm.org_10.1145_2598394.2598488 http://doi.acm.org/10.1145/2598394.2598488
http___dx.doi.org_10.1145_2598394.2598488 http://dx.doi.org/10.1145/2598394.2598488
Karim:thesis Data Analytics for Optimized Matching in Software Development
MuhammadRezaulKarim.html
https___www.ucalgary.ca_cpsc_calendar_node_921 https://www.ucalgary.ca/cpsc/calendar/node/921
http___hdl.handle.net_11023_4254 http://hdl.handle.net/11023/4254
Karimi:2013:IJARBSS Estimating the Return on Investment Opportunities in Financial Markets and Establishing Optimized Portfolio by Artificial Intelligence
FarzadKarimi.html
AlirezaZare'ie.html
MehdiSalemiNajafabadi.html
http___hrmars.com_hrmars_papers_Estimating_the_return_on_investment_opportunities_in_financial_markets_and_establishing_optimized_portfolio_by_Artificial_Intelligence1.pdf http://hrmars.com/hrmars_papers/Estimating_the_return_on_investment_opportunities_in_financial_markets_and_establishing_optimized_portfolio_by_Artificial_Intelligence1.pdf
http___dx.doi.org_10.6007_IJARBSS_v3-i7_45 http://dx.doi.org/10.6007/IJARBSS/v3-i7/45
Karimi:2013:JCEU Evaluation of Genetic Programming for modeling solute breakthrough curve through the temporal data assignment scenarios
SepidehKarimi.html
SeyedAliAshraflaSadraddini.html
AmirHosseinNazemi.html
RezaDelearHasannia.html
OzgurKisi.html
http___www.ojceu.ir_main_attachments_article_24_JCEU_C3-18.pdf http://www.ojceu.ir/main/attachments/article/24/JCEU,C3-18.pdf
Karimi:2018:cea Generalizability of gene expression programming and random forest methodologies in estimating cropland and grassland leaf area index
SepidehKarimi.html
AliAshrafSadraddini.html
AmirHosseinNazemi.html
TongrenXu.html
AhmadFakheriFard.html
http___dx.doi.org_10.1016_j.compag.2017.12.007 http://dx.doi.org/10.1016/j.compag.2017.12.007
Kariminia:2016:RSER A systematic extreme learning machine approach to analyze visitors' thermal comfort at a public urban space
ShahabKariminia.html
ShahaboddinShamshirband.html
ShervinMotamedi.html
RoslanHashim.html
ChandrabhushanRoy.html
http___dx.doi.org_10.1016_j.rser.2015.12.321 http://dx.doi.org/10.1016/j.rser.2015.12.321
http___www.sciencedirect.com_science_article_pii_S1364032115017049 http://www.sciencedirect.com/science/article/pii/S1364032115017049
Karlsson:mastersthesis Sound localization for a humanoid robot by means of Genetic Programming
RikardKarlsson.html
karlsson:2000:slhrGP Sound Localization for a Humanoid Robot Using Genetic Programming
RikardKarlsson.html
PeterNordin.html
MatsGNordahl.html
http___dx.doi.org_10.1007_3-540-45561-2_7 http://dx.doi.org/10.1007/3-540-45561-2_7
Karpuzcu:gecco05ws Automatic Verilog Code Generation through Grammatical Evolution
UlyaRahmetKarpuzcu.html
http___gpbib.cs.ucl.ac.uk_gecco2005wks_papers_0394.pdf http://gpbib.cs.ucl.ac.uk/gecco2005wks/papers/0394.pdf
karr:1999:MAGCUGP Modeling A Grinding Circuit Using Genetic Programming
CharlesLKarr.html
KenBorgelt.html
http___gpbib.cs.ucl.ac.uk_gecco1999_RW-702.pdf http://gpbib.cs.ucl.ac.uk/gecco1999/RW-702.pdf
http___gpbib.cs.ucl.ac.uk_gecco1999_RW-702.ps http://gpbib.cs.ucl.ac.uk/gecco1999/RW-702.ps
Karr:stage96 Programmation g\'en\'etique pour un probl\`eme de contr\^ole, Interfa\ccage avec Maple
FKarr.html
KARRI:2018:SCS Modeling airborne indoor and outdoor particulate matter using genetic programming
RamaRaoKarri.html
BehzadHeibati.html
YusriYusup.html
MohdRafatullah.html
MahmoudMohammadyan.html
JNSahu.html
http___dx.doi.org_10.1016_j.scs.2018.08.015 http://dx.doi.org/10.1016/j.scs.2018.08.015
http___www.sciencedirect.com_science_article_pii_S2210670718301331 http://www.sciencedirect.com/science/article/pii/S2210670718301331
Karunakaran:2012:JCS Optimization Techniques To Record Deduplication
DeepaKarunakaran.html
RangarajanRangaswamy.html
http___www.thescipub.com_pdf_10.3844_jcssp.2012.1487.1495 http://www.thescipub.com/pdf/10.3844/jcssp.2012.1487.1495
http___thescipub.com_abstract_10.3844_jcssp.2012.1487.1495 http://thescipub.com/abstract/10.3844/jcssp.2012.1487.1495
http___dx.doi.org_10.3844_jcssp.2012.1487.1495 http://dx.doi.org/10.3844/jcssp.2012.1487.1495
conf/acal/KarunakaranCZ16 Parallel Multi-objective Job Shop Scheduling Using Genetic Programming
DeepakKarunakaran.html
AaronChen.html
MengjieZhang.html
http___dx.doi.org_10.1007_978-3-319-28270-1 http://dx.doi.org/10.1007/978-3-319-28270-1
http___dx.doi.org_10.1007_978-3-319-28270-1_20 http://dx.doi.org/10.1007/978-3-319-28270-1_20
karunakaran:2017:CEC Evolving dispatching rules for dynamic Job shop scheduling with uncertain processing times
DeepakKarunakaran.html
YiMei.html
AaronChen.html
MengjieZhang.html
http___dx.doi.org_10.1109_CEC.2017.7969335 http://dx.doi.org/10.1109/CEC.2017.7969335
Karunakaran:2017:GECCO Toward Evolving Dispatching Rules for Dynamic Job Shop Scheduling Under Uncertainty
DeepakKarunakaran.html
YiMei.html
AaronChen.html
MengjieZhang.html
http___doi.acm.org_10.1145_3071178.3071202 http://doi.acm.org/10.1145/3071178.3071202
http___dx.doi.org_10.1145_3071178.3071202 http://dx.doi.org/10.1145/3071178.3071202
karunakaran:2017:IaES Dynamic Job Shop Scheduling Under Uncertainty Using Genetic Programming
DeepakKarunakaran.html
YiMei.html
AaronChen.html
MengjieZhang.html
http___link.springer.com_chapter_10.1007_978-3-319-49049-6_14 http://link.springer.com/chapter/10.1007/978-3-319-49049-6_14
http___dx.doi.org_10.1007_978-3-319-49049-6_14 http://dx.doi.org/10.1007/978-3-319-49049-6_14
Karunakaran:2018:PPSN Sampling Heuristics for Multi-Objective Dynamic Job Shop Scheduling Using Island Based Parallel Genetic Programming
DeepakKarunakaran.html
YiMei.html
AaronChen.html
MengjieZhang.html
https___www.springer.com_gp_book_9783319992587 https://www.springer.com/gp/book/9783319992587
http___dx.doi.org_10.1007_978-3-319-99259-4_28 http://dx.doi.org/10.1007/978-3-319-99259-4_28
Karunakaran:2019:CEC Active Sampling for Dynamic Job Shop Scheduling using Genetic Programming
DeepakKarunakaran.html
YiMei.html
AaronChen.html
MengjieZhang.html
http___dx.doi.org_10.1109_CEC.2019.8789923 http://dx.doi.org/10.1109/CEC.2019.8789923
Karunakaran:2019:SSCI Multitasking Genetic Programming for Stochastic Team Orienteering Problem with Time Windows
DeepakKarunakaran.html
YiMei.html
MengjieZhang.html
http___dx.doi.org_10.1109_SSCI44817.2019.9002804 http://dx.doi.org/10.1109/SSCI44817.2019.9002804
Karunakaran:thesis Active Learning Methods for Dynamic Job Shop Scheduling using Genetic Programming under Uncertain Environment
DeepakKarunakaran.html
http___hdl.handle.net_10063_8614 http://hdl.handle.net/10063/8614
https___researcharchive.vuw.ac.nz_xmlui_handle_10063_8614 https://researcharchive.vuw.ac.nz/xmlui/handle/10063/8614
https___researcharchive.vuw.ac.nz_xmlui_bitstream_handle_10063_8614_thesis_access.pdf https://researcharchive.vuw.ac.nz/xmlui/bitstream/handle/10063/8614/thesis_access.pdf
karunamurthy:2003:AGPADPRP A Genetic Programming Approach to the Dynamic Portfolio Rebalancing Problem
VijayKarunamurthy.html
http___www.genetic-programming.org_sp2003_Karunamurthy.pdf http://www.genetic-programming.org/sp2003/Karunamurthy.pdf
Kasenberg:2017:ieeeCDC Interpretable apprenticeship learning with temporal logic specifications
DKasenberg.html
MScheutz.html
http___dx.doi.org_10.1109_CDC.2017.8264386 http://dx.doi.org/10.1109/CDC.2017.8264386
KASHANI:2018:PT CFD simulation of the preheater cyclone of a cement plant and the optimization of its performance using a combination of the design of experiment and multi-gene genetic programming
ElhamKashani.html
AliMohebbi.html
MahdiGhaediHeidari.html
http___dx.doi.org_10.1016_j.powtec.2017.12.091 http://dx.doi.org/10.1016/j.powtec.2017.12.091
http___www.sciencedirect.com_science_article_pii_S0032591017310501 http://www.sciencedirect.com/science/article/pii/S0032591017310501
conf/iicai/KashidM09 Hydroclimatological Approach for Monthly Basin Scale Streamflow Prediction using Genetic Programming
SathishkumarShahajiraoKashid.html
RajibMaity.html
Kashid201023 Streamflow prediction using multi-site rainfall obtained from hydroclimatic teleconnection
SathishkumarShahajiraoKashid.html
SubimalGhosh.html
RajibMaity.html
http___dx.doi.org_10.1016_j.jhydrol.2010.10.004 http://dx.doi.org/10.1016/j.jhydrol.2010.10.004
http___www.sciencedirect.com_science_article_B6V6C-51921DB-1_2_1998f2cc7e20cdc0fc4d6f78d8795381 http://www.sciencedirect.com/science/article/B6V6C-51921DB-1/2/1998f2cc7e20cdc0fc4d6f78d8795381
Kashid201226 Prediction of monthly rainfall on homogeneous monsoon regions of India based on large scale circulation patterns using Genetic Programming
SatishkumarSKashid.html
RajibMaity.html
http___dx.doi.org_10.1016_j.jhydrol.2012.05.033 http://dx.doi.org/10.1016/j.jhydrol.2012.05.033
http___www.sciencedirect.com_science_article_pii_S002216941200409X http://www.sciencedirect.com/science/article/pii/S002216941200409X
Kashtan:2005:PNAS Spontaneous evolution of modularity and network motifs
NadavKashtan.html
UriAlon.html
http___www.pnas.org_cgi_reprint_102_39_13773.pdf http://www.pnas.org/cgi/reprint/102/39/13773.pdf
http___dx.doi.org_10.1073_pnas.0503610102 http://dx.doi.org/10.1073/pnas.0503610102
Kashtan:thesis Evolution in varying environments : rapid emergence of modular systems
NadavKashtan.html
http___lib-phds1.weizmann.ac.il_Dissertations_Kashtan_Nadav.pdf http://lib-phds1.weizmann.ac.il/Dissertations/Kashtan_Nadav.pdf
Kashyap:2017:SSBSE MuSynth: Program Synthesis via Code Reuse and Code Manipulation
VineethKashyap.html
RebeccaSwords.html
EricSchulte.html
DavidMelski.html
http___dx.doi.org_10.1007_978-3-319-66299-2_8 http://dx.doi.org/10.1007/978-3-319-66299-2_8
Kasiviswanathan:2011:IJCSI Genetic programming approach on evaporation losses and its effect on climate change for Vaipar Basin
KSKasiviswanathan.html
RSoundharaRajaPandian.html
SSaravanan.html
AvinashAgarwal.html
http___www.ijcsi.org_papers_IJCSI-8-5-2-269-274.pdf http://www.ijcsi.org/papers/IJCSI-8-5-2-269-274.pdf
kasiviswanathan:2016:MESE Genetic programming based monthly groundwater level forecast models with uncertainty quantification
KSKasiviswanathan.html
SSaravanan.html
MBalamurugan.html
KSaravanan.html
http___link.springer.com_article_10.1007_s40808-016-0083-0 http://link.springer.com/article/10.1007/s40808-016-0083-0
http___dx.doi.org_10.1007_s40808-016-0083-0 http://dx.doi.org/10.1007/s40808-016-0083-0
kasparaviciute:2019:BISW Plastic Grabber: Underwater Autonomous Vehicle Simulation for Plastic Objects Retrieval Using Genetic Programming
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StigAntonNielsen.html
DhruvBoruah.html
PeterNordin.html
AlexandruDancu.html
http___link.springer.com_chapter_10.1007_978-3-030-04849-5_46 http://link.springer.com/chapter/10.1007/978-3-030-04849-5_46
http___dx.doi.org_10.1007_978-3-030-04849-5_46 http://dx.doi.org/10.1007/978-3-030-04849-5_46
DBLP:conf/ijcci/KasparaviciuteT19 Online Encoder-decoder Anomaly Detection using Encoder-decoder Architecture with Novel Self-configuring Neural Networks \& Pure Linear Genetic Programming for Embedded Systems
GabrieleKasparaviciute.html
MalinThelin.html
PeterNordin.html
PerSoderstam.html
ChristianMagnusson.html
MattiasAlmljung.html
https___doi.org_10.5220_0008064401630171 https://doi.org/10.5220/0008064401630171
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https___dblp.org_rec_conf_ijcci_KasparaviciuteT19.bib https://dblp.org/rec/conf/ijcci/KasparaviciuteT19.bib
kaszuba:2023:GECCOcomp Synthesizing Effective Diagnostic Models from Small Samples Using Structural Machine Learning: A Case Study in Automating COVID-19 Diagnosis
PiotrKaszuba.html
AndrewJamesTurner.html
BartoszMikulski.html
NlShashaJumbe.html
AndreasSchuh.html
MichaelMorimoto.html
PeterRexelius.html
RyanHafen.html
RonDeiotte.html
KevinHammond.html
JerrySwan.html
KrzysztofKrawiec.html
http___dx.doi.org_10.1145_3583133.3590598 http://dx.doi.org/10.1145/3583133.3590598
katagiri:2001:gecco Network Structure Oriented Evolutionary Model -- Genetic Network Programming--and Its Comparison with
HironobuKatagiri.html
KotaroHirasawa.html
JingluHu.html
JunichiMurata.html
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katagiri:2001:nsoemnpcgp Network Structure Oriented Evolutionary Model-Genetic Network Programming-and its Comparison with Genetic Programming
HironobuKatagiri.html
KotaroHirasawa.html
JingluHu.html
JunichiMurata.html
katagiri:2002:gecco A New Model To Realize Variable Size Genetic Network Programming
HironobuKatagiri.html
KotaroHirasawa.html
JingluHu.html
JunichiMurata.html
http___gpbib.cs.ucl.ac.uk_gecco2002_GP089.pdf http://gpbib.cs.ucl.ac.uk/gecco2002/GP089.pdf
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_gecco2002_gecco-2002-15.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/gecco2002/gecco-2002-15.pdf
katagiri:2002:gecco:lbp A New Model to Realize Variable Size Genetic Network Programming - A Case Study with the Tileworld Problem
HironobuKatagiri.html
KotaroHirasawa.html
JingluHu.html
JunichiMurata.html
http___researchr.org_publication_KatagiriHHM02a_ http://researchr.org/publication/KatagiriHHM02a/
Katagiri:2003:IEEJteis Variable Size Genetic Network Programming
HironobuKatagiri.html
KotaroHirasawa.html
JingluHu.html
JunichiMurata.html
https___www.jstage.jst.go.jp_article_ieejeiss_123_1_123_1_57__pdf https://www.jstage.jst.go.jp/article/ieejeiss/123/1/123_1_57/_pdf
http___dx.doi.org_10.1541_ieejeiss.123.57 http://dx.doi.org/10.1541/ieejeiss.123.57
Kataria:2018:CEC Augmented Gene Expression Programming: A Population Diversifying Paradigm
ShreyaKataria.html
SomyaSangal.html
TwishiTyagi.html
SwatiAggarwal.html
http___ieeexplore.ieee.org_xpl_mostRecentIssue.jsp_punumber_8466244 http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=8466244
http___dx.doi.org_10.1109_CEC.2018.8477656 http://dx.doi.org/10.1109/CEC.2018.8477656
Katayama:2004:PRICAI Power of Brute-Force Search in Strongly-Typed Inductive Functional Programming Automation
SusumuKatayama.html
http___nautilus.cs.miyazaki-u.ac.jp__skata_abstPRICAI04.html http://nautilus.cs.miyazaki-u.ac.jp/~skata/abstPRICAI04.html
http___dx.doi.org_10.1007_978-3-540-28633-2_10 http://dx.doi.org/10.1007/978-3-540-28633-2_10
http___dx.doi.org_10.1007_978-3-540-28633-2_10 http://dx.doi.org/10.1007/978-3-540-28633-2_10
Katayama:2008:PRICAI Efficient Exhaustive Generation of Functional Programs Using Monte-Carlo Search with Iterative Deepening
SusumuKatayama.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.606.1447 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.606.1447
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https___doi.org_10.1007_978-3-540-89197-0_21 https://doi.org/10.1007/978-3-540-89197-0_21
http___dx.doi.org_10.1007_978-3-540-89197-0_21 http://dx.doi.org/10.1007/978-3-540-89197-0_21
katirai99 Filtering Junk E-Mail: A Performance Comparison between Genetic Programming and Naive Bayes
HoomanKatirai.html
http___www.mit.edu__hooman_papers_katirai99filtering.pdf http://www.mit.edu/~hooman/papers/katirai99filtering.pdf
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kattan08:_gp_zip Evolutionary Lossless Compression with GP-ZIP
AhmedKattan.html
RiccardoPoli.html
http___dx.doi.org_10.1109_CEC.2008.4631128 http://dx.doi.org/10.1109/CEC.2008.4631128
Kattan:2008:gecco Evolutionary lossless compression with GP-ZIP*
AhmedKattan.html
RiccardoPoli.html
http___gpbib.cs.ucl.ac.uk_gecco2008_docs_p1211.pdf http://gpbib.cs.ucl.ac.uk/gecco2008/docs/p1211.pdf
http___dx.doi.org_10.1145_1389095.1389333 http://dx.doi.org/10.1145/1389095.1389333
Kattan:2009:EA Genetic-Programming Based Prediction of Data Compression Saving
AhmedKattan.html
RiccardoPoli.html
http___dx.doi.org_10.1007_978-3-642-14156-0_16 http://dx.doi.org/10.1007/978-3-642-14156-0_16
conf/ijcci/KattanASP09 Detecting Localised Muscle Fatigue during Isometric Contraction using Genetic Programming
AhmedKattan.html
MohammedAl-Mulla.html
FranciscoSepulveda.html
RiccardoPoli.html
http___www.ahmedkattan.com_index_files_Camera_ready.pdf http://www.ahmedkattan.com/index_files/Camera_ready.pdf
Kattan:2010:EuroGP Unsupervised Problem Decomposition using Genetic Programming
AhmedKattan.html
AlexandrosAgapitos.html
RiccardoPoli.html
http___dx.doi.org_10.1007_978-3-642-12148-7_11 http://dx.doi.org/10.1007/978-3-642-12148-7_11
Kattan:2010:EuroGP2 GP-Fileprints: File Types Detection Using Genetic Programming
AhmedKattan.html
EdgarGalvanLopez.html
RiccardoPoli.html
MichaelO'Neill.html
http___dx.doi.org_10.1007_978-3-642-12148-7_12 http://dx.doi.org/10.1007/978-3-642-12148-7_12
Kattan:2010:cec Evolutionary synthesis of lossless compression algorithms with GP-zip3
AhmedKattan.html
RiccardoPoli.html
http___dx.doi.org_10.1109_CEC.2010.5585956 http://dx.doi.org/10.1109/CEC.2010.5585956
Kattan:thesis Evolutionary Synthesis of Lossless Compression Algorithms: the GP-zip Family
AhmedKattan.html
http___www.ahmedkattan.com_PhD.pdf http://www.ahmedkattan.com/PhD.pdf
https___ethos.bl.uk_OrderDetails.do_uin_uk.bl.ethos.528854 https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.528854
Kattan:2011:GPEM Evolution of human-competitive lossless compression algorithms with GP-zip2
AhmedKattan.html
RiccardoPoli.html
http___dx.doi.org_10.1007_s10710-011-9133-6 http://dx.doi.org/10.1007/s10710-011-9133-6
Kattan:2012:CEC Evolving Radial Basis Function Networks via GP for Estimating Fitness Values using Surrogate Models
AhmedKattan.html
EdgarGalvanLopez.html
http___dx.doi.org_10.1109_CEC.2012.6256108 http://dx.doi.org/10.1109/CEC.2012.6256108
kattan:2014:EuroGP Generalisation Enhancement via Input Space Transformation: A GP Approach
AhmedKattan.html
MichaelKampouridis.html
AlexandrosAgapitos.html
http___dx.doi.org_10.1007_978-3-662-44303-3_6 http://dx.doi.org/10.1007/978-3-662-44303-3_6
Kattan:2014:CEC Transformation of Input Space Using Statistical Moments: EA-Based Approach
AhmedKattan.html
MichaelKampouridis.html
Yew-SoonOng.html
KhalidMehamdi.html
http___kampouridis.net_papers_WCCI_202014_R.pdf http://kampouridis.net/papers/WCCI%202014_R.pdf
http___dx.doi.org_10.1109_CEC.2014.6900390 http://dx.doi.org/10.1109/CEC.2014.6900390
kattan:2015:APSIESV Bayesian Inference to Sustain Evolvability in Genetic Programming
AhmedKattan.html
Yew-SoonOng.html
http___link.springer.com_chapter_10.1007_978-3-319-13359-1_7 http://link.springer.com/chapter/10.1007/978-3-319-13359-1_7
http___dx.doi.org_10.1007_978-3-319-13359-1_7 http://dx.doi.org/10.1007/978-3-319-13359-1_7
Kattan:2015:IS Time-series event-based prediction: An unsupervised learning framework based on genetic programming
AhmedKattan.html
ShaheenFatima.html
MuhammadArifSyedHamid.html
http___dx.doi.org_10.1016_j.ins.2014.12.054 http://dx.doi.org/10.1016/j.ins.2014.12.054
http___www.sciencedirect.com_science_article_pii_S0020025515000067 http://www.sciencedirect.com/science/article/pii/S0020025515000067
Kattan:2015:ISa Surrogate Genetic Programming: A semantic aware evolutionary search
AhmedKattan.html
Yew-SoonOng.html
http___dx.doi.org_10.1016_j.ins.2014.10.053 http://dx.doi.org/10.1016/j.ins.2014.10.053
http___www.sciencedirect.com_science_article_pii_S0020025514010421 http://www.sciencedirect.com/science/article/pii/S0020025514010421
Kattan:2016:IS GP made faster with semantic surrogate modelling
AhmedKattan.html
AlexandrosAgapitos.html
Yew-SoonOng.html
AteqAAlghamedi.html
MichaelO'Neill.html
http___dx.doi.org_10.1016_j.ins.2016.03.030 http://dx.doi.org/10.1016/j.ins.2016.03.030
http___www.sciencedirect.com_science_article_pii_S0020025516301992 http://www.sciencedirect.com/science/article/pii/S0020025516301992
Kattan:2020:SSCI Genetic Programming Multitasking
AhmedKattan.html
FaiyazDoctor.html
Yew-SoonOng.html
AlexandrosAgapitos.html
http___dx.doi.org_10.1109_SSCI47803.2020.9308600 http://dx.doi.org/10.1109/SSCI47803.2020.9308600
Kattan:2023:SMC Genetic Programming Lifelong Multitasking Evolution: LLGP-Tasking
AhmedKattan.html
FaiyazDoctor.html
http___dx.doi.org_10.1109_SMC53992.2023.10393865 http://dx.doi.org/10.1109/SMC53992.2023.10393865
Katz:thesis Improvement of chemical plant performance by analysing the main variables that affect the process while using statistic methods, neural networks and genetic programming
ArielKatz.html
http___ethos.bl.uk_OrderDetails.do_uin_uk.bl.ethos.302659 http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.302659
Katz:2008:TACAS Model Checking-Based Genetic Programming with an Application to Mutual Exclusion
GalKatz.html
DoronAPeled.html
http___dx.doi.org_10.1007_978-3-540-78800-3_11 http://dx.doi.org/10.1007/978-3-540-78800-3_11
Katz:2008:ATVA Genetic Programming and Model Checking: Synthesizing New Mutual Exclusion Algorithms
GalKatz.html
DoronAPeled.html
http___dx.doi.org_10.1007_978-3-540-88387-6_5 http://dx.doi.org/10.1007/978-3-540-88387-6_5
DBLP:conf/hvc/KatzP09 Synthesizing Solutions to the Leader Election Problem Using Model Checking and Genetic Programming
GalKatz.html
DoronAPeled.html
http___dx.doi.org_10.1007_978-3-642-19237-1_13 http://dx.doi.org/10.1007/978-3-642-19237-1_13
DBLP:conf/tacas/KatzP10 Code Mutation in Verification and Automatic Code Correction
GalKatz.html
DoronAPeled.html
http___dx.doi.org_10.1007_978-3-642-12002-2_36 http://dx.doi.org/10.1007/978-3-642-12002-2_36
DBLP:conf/atva/KatzP10 MCGP: A Software Synthesis Tool Based on Model Checking and Genetic Programming
GalKatz.html
DoronAPeled.html
http___dx.doi.org_10.1007_978-3-642-15643-4_28 http://dx.doi.org/10.1007/978-3-642-15643-4_28
DBLP:journals/corr/KatzP14 Synthesis of Parametric Programs using Genetic Programming and Model Checking
GalKatz.html
DoronAPeled.html
http___www.fit.vutbr.cz__holik_INFINITY13_ http://www.fit.vutbr.cz/~holik/INFINITY13/
http___dx.doi.org_10.4204_EPTCS.140.5 http://dx.doi.org/10.4204/EPTCS.140.5
http___dx.doi.org_10.4204_EPTCS.140 http://dx.doi.org/10.4204/EPTCS.140
conf/hvc/KatzP13 Synthesizing, Correcting and Improving Code, Using Model Checking-Based Genetic Programming
GalKatz.html
DoronAPeled.html
http___dx.doi.org_10.1007_978-3-319-03077-7 http://dx.doi.org/10.1007/978-3-319-03077-7
http___dx.doi.org_10.1007_978-3-319-03077-7_17 http://dx.doi.org/10.1007/978-3-319-03077-7_17
http___dx.doi.org_10.1007_978-3-319-03077-7_17 http://dx.doi.org/10.1007/978-3-319-03077-7_17
Kaufmann:2010:evows Hand posture recognition using real-time artificial evolution
BenoitKaufmann.html
JeanLouchet.html
EvelyneLutton.html
http___dx.doi.org_10.1007_978-3-642-12239-2_26 http://dx.doi.org/10.1007/978-3-642-12239-2_26
ka-pl-06a Multi-objective Intrinsic Hardware Evolution
PaulKaufmann.html
MarcoPlatzner.html
http___klabs.org_mapld06_abstracts_210_kaufmann_a.html http://klabs.org/mapld06/abstracts/210_kaufmann_a.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.541.3122 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.541.3122
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.541.3122.pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.541.3122.pdf
ka-pl-07a Toward Self-adaptive Embedded Systems: Multi-objective Hardware Evolution
PaulKaufmann.html
MarcoPlatzner.html
http___dx.doi.org_10.1007_978-3-540-71270-1_15 http://dx.doi.org/10.1007/978-3-540-71270-1_15
ka-pl-07 MOVES: A Modular Framework for Hardware Evolution
PaulKaufmann.html
MarcoPlatzner.html
http___dx.doi.org_10.1109_AHS.2007.73 http://dx.doi.org/10.1109/AHS.2007.73
Kaufmann:2008:gecco Advanced techniques for the creation and propagation of modules in cartesian genetic programming
PaulKaufmann.html
MarcoPlatzner.html
http___gpbib.cs.ucl.ac.uk_gecco2008_docs_p1219.pdf http://gpbib.cs.ucl.ac.uk/gecco2008/docs/p1219.pdf
http___dx.doi.org_10.1145_1389095.1389334 http://dx.doi.org/10.1145/1389095.1389334
ka-pl-pl-2009 EvoCaches: Application-specific Adaptation of Cache Mappings
PaulKaufmann.html
ChristianPlessl.html
MarcoPlatzner.html
http___dx.doi.org_10.1109_AHS.2009.26 http://dx.doi.org/10.1109/AHS.2009.26
Kaufmann:2010:cec A novel hybrid evolutionary strategy and its periodization with multi-objective genetic optimizers
PaulKaufmann.html
TobiasKnieper.html
MarcoPlatzner.html
http___dx.doi.org_10.1109_CEC.2010.5586541 http://dx.doi.org/10.1109/CEC.2010.5586541
ka-en-pl-10a Fluctuating EMG Signals: Investigating Long-term Effects of Pattern Matching Algorithms
PaulKaufmann.html
KevinEnglehart.html
MarcoPlatzner.html
http___dx.doi.org_10.1109_IEMBS.2010.5627288 http://dx.doi.org/10.1109/IEMBS.2010.5627288
Kaufmann:2011:OCpscs Multi-objective Intrinsic Evolution of Embedded Systems
PaulKaufmann.html
MarcoPlatzner.html
http___dx.doi.org_10.1007_978-3-0348-0130-0_12 http://dx.doi.org/10.1007/978-3-0348-0130-0_12
ka-gl-pl-12a Compensating Resource Fluctuations by Means of Evolvable Hardware: The Run-Time Reconfigurable Functional Unit Row Classifier Architecture
PaulKaufmann.html
KyrreHaraldGlette.html
MarcoPlatzner.html
JimTorresen.html
http___dx.doi.org_10.4018_jaras.2012100102 http://dx.doi.org/10.4018/jaras.2012100102
ka-gl-gr-12a Classification of Electromyographic Signals: Comparing Evolvable Hardware to Conventional Classifiers
PaulKaufmann.html
KyrreHaraldGlette.html
ThiemoGruber.html
MarcoPlatzner.html
JimTorresen.html
BernhardSick.html
http___dx.doi.org_10.1109_TEVC.2012.2185845 http://dx.doi.org/10.1109/TEVC.2012.2185845
ka-13a Adapting Hardware Systems by Means of Multi-Objective Evolution
PaulKaufmann.html
https___ris.uni-paderborn.de_record_11619 https://ris.uni-paderborn.de/record/11619
https___groups.uni-paderborn.de_agce_publications_pdfs_Kaufmann2013.pdf https://groups.uni-paderborn.de/agce/publications/pdfs/Kaufmann2013.pdf
http___www.logos-verlag.de_cgi-bin_engbuchmid_isbn_3530_lng_deu_id_ http://www.logos-verlag.de/cgi-bin/engbuchmid?isbn=3530&lng=deu&id=
ka-14a Multikriterielle Evolution adaptiver eingebetteter Systeme
PaulKaufmann.html
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ka-sh-15a Generator Start-up Sequences Optimization for Network Restoration Using Genetic Algorithm and Simulated Annealing
PaulKaufmann.html
CongShen.html
https___ci.bwl.uni-mainz.de_files_2018_02_ka-sh-15a-1.pdf https://ci.bwl.uni-mainz.de/files/2018/02/ka-sh-15a-1.pdf
http___doi.acm.org_10.1145_2739480.2754647 http://doi.acm.org/10.1145/2739480.2754647
http___dx.doi.org_10.1145_2739480.2754647 http://dx.doi.org/10.1145/2739480.2754647
Kaufmann:2017:GECCO An Empirical Study on the Parametrization of Cartesian Genetic Programming
PaulKaufmann.html
RomanTobiasKalkreuth.html
http___doi.acm.org_10.1145_3067695.3075980 http://doi.acm.org/10.1145/3067695.3075980
http___dx.doi.org_10.1145_3067695.3075980 http://dx.doi.org/10.1145/3067695.3075980
Kaufmann:2017:miller Combining Local and Global Search: A Multi-objective Evolutionary Algorithm for Cartesian Genetic Programming
PaulKaufmann.html
MarcoPlatzner.html
http___dx.doi.org_10.1007_978-3-319-67997-6_8 http://dx.doi.org/10.1007/978-3-319-67997-6_8
conf/ki/KaufmannK17 Parametrizing Cartesian Genetic Programming: An Empirical Study
PaulKaufmann.html
RomanTobiasKalkreuth.html
http___dx.doi.org_10.1007_978-3-319-67190-1_26 http://dx.doi.org/10.1007/978-3-319-67190-1_26
Kaufmann:2020:CEC On the Parameterization of Cartesian Genetic Programming
PaulKaufmann.html
RomanTobiasKalkreuth.html
http___dx.doi.org_10.1109_CEC48606.2020.9185492 http://dx.doi.org/10.1109/CEC48606.2020.9185492
Kaupp:thesis Ein Verfahren zur automatischen Erzeugung intelligenter Prozessueberwachungssysteme
MarkusKaupp.html
http___elib.uni-stuttgart.de_opus_volltexte_2014_9553_pdf_Kaupp_36.pdf http://elib.uni-stuttgart.de/opus/volltexte/2014/9553/pdf/Kaupp_36.pdf
http___elib.uni-stuttgart.de_opus_volltexte_2014_9553_ http://elib.uni-stuttgart.de/opus/volltexte/2014/9553/
conf/csie/KaurB09 A Comparative Analysis of Neuro-fuzzy and Grammatical Evolution Models for Simulating Field-Effect Transistors
DevinderKaur.html
DustinBaumgartner.html
http___dx.doi.org_10.1109_CSIE.2009.720 http://dx.doi.org/10.1109/CSIE.2009.720
Kaur:2016:ICICT Dual-stage post-processing for swarm intelligent binary matrix reconstruction solution
ManjotKaur.html
NareshKumar.html
http___dx.doi.org_10.1109_INVENTIVE.2016.7824892 http://dx.doi.org/10.1109/INVENTIVE.2016.7824892
Kavehkar:2011:waset Exploiting Two Intelligent Models to Predict Water Level: A field study of Urmia lake, Iran
ShahabKavehkar.html
MohammadAliGhorbani.html
ValeriyKhokhlov.html
AfshinAshrafzadeh.html
SaberehDarbandi.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.308.8359 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.308.8359
http___www.waset.org_journals_waset_v51_v51-164.pdf http://www.waset.org/journals/waset/v51/v51-164.pdf
http___waset.org_publications_15288 http://waset.org/publications/15288
http___waset.org_Publications_p_51 http://waset.org/Publications?p=51
Kavita:2023:CONIT Metaheuristic Evolutionary Algorithms: Types, Applications, Future Directions, and Challenges
ShelkeKavita.html
ShindeSK.html
http___dx.doi.org_10.1109_CONIT59222.2023.10205592 http://dx.doi.org/10.1109/CONIT59222.2023.10205592
Kavvadias2007347 Development of a customized processor architecture for accelerating genetic algorithms
NikolaosKavvadias.html
VasilikiGiannakopoulou.html
SpiridonNikolaidis.html
http___dx.doi.org_10.1016_j.micpro.2006.12.002 http://dx.doi.org/10.1016/j.micpro.2006.12.002
http___www.sciencedirect.com_science_article_B6V0X-4MT5K1Y-1_2_c2a2d447c74f5cfcb3dec1eb0125163f http://www.sciencedirect.com/science/article/B6V0X-4MT5K1Y-1/2/c2a2d447c74f5cfcb3dec1eb0125163f
Kawaguchi:2005:NAR mRNA sequence features that contribute to translational regulation in Arabidopsis
RikiKawaguchi.html
JuliaBailey-Serres.html
http___dx.doi.org_10.1093_nar_gki240 http://dx.doi.org/10.1093/nar/gki240
kaya:2023:BEGE Predicting liquefaction-induced lateral spreading by using the multigene genetic programming (MGGP), multilayer perceptron (MLP), and random forest (RF) techniques
ZulkufKaya.html
LeventLatifoglu.html
ErdalUncuoglu.html
AykutErol.html
MehmetSalihKeskin.html
http___link.springer.com_article_10.1007_s10064-023-03103-9 http://link.springer.com/article/10.1007/s10064-023-03103-9
http___dx.doi.org_10.1007_s10064-023-03103-9 http://dx.doi.org/10.1007/s10064-023-03103-9
10.1109/CSAC.2005.23 Evolving Successful Stack Overflow Attacks for Vulnerability Testing
HilmiGunesKayacik.html
NurZincir-Heywood.html
MalcolmHeywood.html
http___www.acsac.org_2005_papers_119.pdf http://www.acsac.org/2005/papers/119.pdf
http___dx.doi.org_10.1109_CSAC.2005.23 http://dx.doi.org/10.1109/CSAC.2005.23
1144271 On evolving buffer overflow attacks using genetic programming
HilmiGunesKayacik.html
MalcolmHeywood.html
NurZincir-Heywood.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.558.6739 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.558.6739
http___www.sis.pitt.edu_jjoshi_courses_IS2620_Spring09_Kayacik.pdf http://www.sis.pitt.edu/jjoshi/courses/IS2620/Spring09/Kayacik.pdf
http___gpbib.cs.ucl.ac.uk_gecco2006_docs_p1667.pdf http://gpbib.cs.ucl.ac.uk/gecco2006/docs/p1667.pdf
http___dx.doi.org_10.1145_1143997.1144271 http://dx.doi.org/10.1145/1143997.1144271
Kayacik:2007:CISDA Automatically Evading IDS using GP Authored Attacks
HilmiGunesKayacik.html
NurZincir-Heywood.html
MalcolmHeywood.html
http___dx.doi.org_10.1109_CISDA.2007.368148 http://dx.doi.org/10.1109/CISDA.2007.368148
kayacik:evows07 Evolving Buffer Overflow Attacks with Detector Feedback
HilmiGunesKayacik.html
MalcolmHeywood.html
NurZincir-Heywood.html
http___dx.doi.org_10.1007_978-3-540-71805-5_2 http://dx.doi.org/10.1007/978-3-540-71805-5_2
Kayacik:thesis Can the Best Defense be a Good Offense? Evolving (Mimicry) Attacks for Detector Vulnerability Testing under a black-box Assumption
HilmiGunesKayacik.html
http___web.cs.dal.ca__kayacik_PhD_GK_Thesis.pdf http://web.cs.dal.ca/~kayacik/PhD/GK_Thesis.pdf
Gunes-Kayacik:2009:ieeeCICS Generating mimicry attacks using genetic programming: A benchmarking study
HilmiGunesKayacik.html
NurZincir-Heywood.html
MalcolmHeywood.html
StefanBurschka.html
http___dx.doi.org_10.1109_CICYBS.2009.4925101 http://dx.doi.org/10.1109/CICYBS.2009.4925101
KayacIk2010 Can a good offense be a good defense? Vulnerability testing of anomaly detectors through an artificial arms race
HilmiGunesKayacik.html
NurZincir-Heywood.html
MalcolmHeywood.html
http___dx.doi.org_10.1016_j.asoc.2010.09.005 http://dx.doi.org/10.1016/j.asoc.2010.09.005
http___www.sciencedirect.com_science_article_B6W86-517J230-1_2_84e06f47c1845a8bc71256b74a86b16d http://www.sciencedirect.com/science/article/B6W86-517J230-1/2/84e06f47c1845a8bc71256b74a86b16d
Kayacik:2011:EI Evolutionary computation as an artificial attacker: generating evasion attacks for detector vulnerability testing
HilmiGunesKayacik.html
NurZincir-Heywood.html
MalcolmHeywood.html
http___dx.doi.org_10.1007_s12065-011-0065-0 http://dx.doi.org/10.1007/s12065-011-0065-0
Kayadelen200911814 Modeling of the angle of shearing resistance of soils using soft computing systems
CaferKayadelen.html
OsmanGunaydin.html
MustafaFener.html
AydinDemir.html
AliOzvan.html
http___dx.doi.org_10.1016_j.eswa.2009.04.008 http://dx.doi.org/10.1016/j.eswa.2009.04.008
http___www.sciencedirect.com_science_article_B6V03-4W3HX4S-1_2_c5bf935abc4eb5a42707a84dd6e518ea http://www.sciencedirect.com/science/article/B6V03-4W3HX4S-1/2/c5bf935abc4eb5a42707a84dd6e518ea
Kayani:2007:IBCAST Automated Design of Mechatronic Systems using Bond-Graph Modeling and Simulation and Genetic Programming
SaheebAhmedKayani.html
MuhammadAfzaalMalik.html
http___dx.doi.org_10.1109_IBCAST.2007.4379917 http://dx.doi.org/10.1109/IBCAST.2007.4379917
1274019 Combining bond-graphs with genetic programming for unified/automated design of mechatronic or multi domain dynamic systems
SaheebAhmedKayani.html
MuhammadAfzaalMalik.html
http___gpbib.cs.ucl.ac.uk_gecco2007_docs_p2515.pdf http://gpbib.cs.ucl.ac.uk/gecco2007/docs/p2515.pdf
http___dx.doi.org_10.1145_1274000.1274019 http://dx.doi.org/10.1145/1274000.1274019
Kayani:2008:geccocomp Search for human competitive results in open ended automated synthesis of a primordial mechatronic system
SaheebAhmedKayani.html
http___gpbib.cs.ucl.ac.uk_gecco2008_docs_p1827.pdf http://gpbib.cs.ucl.ac.uk/gecco2008/docs/p1827.pdf
http___dx.doi.org_10.1145_1388969.1388981 http://dx.doi.org/10.1145/1388969.1388981
Kayani2:2008:geccocomp Bond-graphs + genetic programming: analysis of an automatically synthesized rotary mechanical system
SaheebAhmedKayani.html
MuhammadAfzaalMalik.html
http___gpbib.cs.ucl.ac.uk_gecco2008_docs_p2165.pdf http://gpbib.cs.ucl.ac.uk/gecco2008/docs/p2165.pdf
http___dx.doi.org_10.1145_1388969.1389041 http://dx.doi.org/10.1145/1388969.1389041
Kayani:2008:ieeeICET Theoretical foundations of automated synthesis using Bond-Graphs and genetic programming
SaheebAhmedKayani.html
http___dx.doi.org_10.1109_ICET.2008.4777466 http://dx.doi.org/10.1109/ICET.2008.4777466
Kaydani:2014:JNGSE A new correlation for calculating carbon dioxide minimum miscibility pressure based on multi-gene genetic programming
HosseinKaydani.html
MohammadNajafzadeh.html
AliHajizadehMoghaddam.html
http___dx.doi.org_10.1016_j.jngse.2014.09.013 http://dx.doi.org/10.1016/j.jngse.2014.09.013
http___www.sciencedirect.com_science_article_pii_S187551001400273X http://www.sciencedirect.com/science/article/pii/S187551001400273X
Kaydani:2014:JPSE Permeability estimation in heterogeneous oil reservoirs by multi-gene genetic programming algorithm
HosseinKaydani.html
AliMohebbi.html
MehdiEftekhari.html
http___dx.doi.org_10.1016_j.petrol.2014.07.035 http://dx.doi.org/10.1016/j.petrol.2014.07.035
http___www.sciencedirect.com_science_article_pii_S0920410514002344 http://www.sciencedirect.com/science/article/pii/S0920410514002344
Kaydani:2016:ASC Dew point pressure model for gas condensate reservoirs based on multi-gene genetic programming approach
HosseinKaydani.html
AliMohebbi.html
AliHajizadehMoghaddam.html
http___dx.doi.org_10.1016_j.asoc.2016.05.049 http://dx.doi.org/10.1016/j.asoc.2016.05.049
http___www.sciencedirect.com_science_article_pii_S1568494616302599 http://www.sciencedirect.com/science/article/pii/S1568494616302599
Kazaryan:2017:PCS Grammatical Evolution for Neural Network Optimization in the Control System Synthesis Problem
DavidKazaryan.html
AVSavinkov.html
http___dx.doi.org_10.1016_j.procs.2017.01.002 http://dx.doi.org/10.1016/j.procs.2017.01.002
http___www.sciencedirect.com_science_article_pii_S1877050917300030 http://www.sciencedirect.com/science/article/pii/S1877050917300030
KAZEMI:2022:asoc Application of dimensional analysis and multi-gene genetic programming to predict the performance of tunnel boring machines
MajidKazemi.html
RezaBarati.html
http___dx.doi.org_10.1016_j.asoc.2022.108997 http://dx.doi.org/10.1016/j.asoc.2022.108997
https___www.sciencedirect.com_science_article_pii_S1568494622003222 https://www.sciencedirect.com/science/article/pii/S1568494622003222
Kazemi:2016:PT Computational intelligence modeling of granule size distribution for oscillating milling
PezhmanKazemi.html
MohammadHassanKhalid.html
JakubSzlek.html
AndrejaMirtic.html
GavinKReynolds.html
RenataJachowicz.html
AleksanderMendyk.html
http___www.sciencedirect.com_science_article_pii_S0032591016304387 http://www.sciencedirect.com/science/article/pii/S0032591016304387
http___dx.doi.org_10.1016_j.powtec.2016.07.046 http://dx.doi.org/10.1016/j.powtec.2016.07.046
Kazemi:2020:Processes Robust Data-Driven Soft Sensors for Online Monitoring of Volatile Fatty Acids in Anaerobic Digestion Processes
PezhmanKazemi.html
Jean-PhilippeSteyer.html
ChristopheBengoa.html
JosepFontCapafons.html
JaumeGiralt.html
https___hal.inrae.fr_hal-02535092 https://hal.inrae.fr/hal-02535092
https___hal.inrae.fr_hal-02535092_document https://hal.inrae.fr/hal-02535092/document
https___hal.inrae.fr_hal-02535092_file_Kazemi-Processes-2020-CC-BY.pdf https://hal.inrae.fr/hal-02535092/file/Kazemi-Processes-2020-CC-BY.pdf
http___dx.doi.org_10.3390_pr8010067 http://dx.doi.org/10.3390/pr8010067
Kazemi:thesis Data-driven soft-sensors for monitoring and fault diagnosis in wastewater treatment plants
PezhmanKazemi.html
https___www.tdx.cat_bitstream_handle_10803_670778_TESI_20Pezhman_20Kazemi.pdf https://www.tdx.cat/bitstream/handle/10803/670778/TESI%20Pezhman%20Kazemi.pdf
Kazeminia:2019:jtaecr Personality-Based Personalization of Online Store Features Using Genetic Programming: Analysis and Experiment
AlirezaKazeminia.html
MarjanKaedi.html
BeenazirGanji.html
http___www.jtaer.com_portada.php_agno_2019_numero_1 http://www.jtaer.com/portada.php?agno=2019&numero=1
http___www.jtaer.com_statistics_download_download.php_co_id_JTA20190102 http://www.jtaer.com/statistics/download/download.php?co_id=JTA20190102
http___dx.doi.org_10.4067_S0718-18762019000100103 http://dx.doi.org/10.4067/S0718-18762019000100103
Ke:2015:ASE Repairing Programs with Semantic Code Search
YalinKe.html
KathrynTStolee.html
ClaireLeGoues.html
YuriyBrun.html
http___people.cs.umass.edu_brun_pubs_pubs_Ke15ase.pdf http://people.cs.umass.edu/brun/pubs/pubs/Ke15ase.pdf
http___dx.doi.org_10.1109_ASE.2015.60 http://dx.doi.org/10.1109/ASE.2015.60
keane:1993:firf Finding an impulse response function using genetic programming
MartinAKeane.html
JohnKoza.html
JamesPRice.html
http___www.genetic-programming.com_jkpdf_acc1993.pdf http://www.genetic-programming.com/jkpdf/acc1993.pdf
Keane:2000:GECCO Automatic Synthesis of Both Topology and Tuning of a Common Parameterized Controller for Two Families of Plants using Genetic Programming
MartinAKeane.html
JessenYu.html
JohnKoza.html
http___gpbib.cs.ucl.ac.uk_gecco2000_GP072.pdf http://gpbib.cs.ucl.ac.uk/gecco2000/GP072.pdf
http___gpbib.cs.ucl.ac.uk_gecco2000_GP072.ps http://gpbib.cs.ucl.ac.uk/gecco2000/GP072.ps
http___www.genetic-programming.com_jkpdf_gecco2000twofamilies.pdf http://www.genetic-programming.com/jkpdf/gecco2000twofamilies.pdf
http___citeseer.ist.psu.edu_499019.html http://citeseer.ist.psu.edu/499019.html
Keane:2015:LION Genetic Programming, Logic Design and Case-Based Reasoning for Obstacle Avoidance
AndyJKeane.html
http___eprints.soton.ac.uk_378237_1_Path_Planning.pdf http://eprints.soton.ac.uk/378237/1/Path_Planning.pdf
http___eprints.soton.ac.uk_378237_ http://eprints.soton.ac.uk/378237/
http___dx.doi.org_10.1007_978-3-319-19084-6_9 http://dx.doi.org/10.1007/978-3-319-19084-6_9
Keats:2006:PSM The New Explorers John Koza Has Built an Invention Machine Its creations earn patents, outperform humans, and will soon fly to space. All it needs now is a few worthy challenges
JonathonKeats.html
http___www.popsci.com_scitech_article_2006-04_john-koza-has-built-invention-machine http://www.popsci.com/scitech/article/2006-04/john-koza-has-built-invention-machine
Keaveney:2009:CIG Evolving robust strategies for an abstract real-time strategy game
DavidKeaveney.html
ColmO'Riordan.html
http___dx.doi.org_10.1109_CIG.2009.5286453 http://dx.doi.org/10.1109/CIG.2009.5286453
Keaveney:2011:ieeeTCIAIG Evolving Coordination for Real-Time Strategy Games
DavidKeaveney.html
ColmO'Riordan.html
http___dx.doi.org_10.1109_TCIAIG.2011.2146783 http://dx.doi.org/10.1109/TCIAIG.2011.2146783
Keber:2002:gecco Option Valuation With Generalized Ant Programming
ChristianKeber.html
MatthiasGSchuster.html
http___gpbib.cs.ucl.ac.uk_gecco2002_aaaa075.ps http://gpbib.cs.ucl.ac.uk/gecco2002/aaaa075.ps
http___gpbib.cs.ucl.ac.uk_gecco2002_aaaa075.pdf http://gpbib.cs.ucl.ac.uk/gecco2002/aaaa075.pdf
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_gecco2002_gecco-2002-01.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/gecco2002/gecco-2002-01.pdf
http___dl.acm.org_citation.cfm_id_2955491.2955502 http://dl.acm.org/citation.cfm?id=2955491.2955502
Kechagia:2022:APR 2022 IEEE/ACM International Workshop on Automated Program Repair (APR)
MariaKechagia.html
ShinHweiTan.html
SergeyMechtaev.html
LinTan.html
https___ieeexplore.ieee.org_xpl_conhome_9474454_proceeding https://ieeexplore.ieee.org/xpl/conhome/9474454/proceeding
https___ieeexplore.ieee.org_document_9809173 https://ieeexplore.ieee.org/document/9809173
Kechagia:TSE Evaluating Automatic Program Repair Capabilities to Repair API Misuses
MariaKechagia.html
SergeyMechtaev.html
FedericaSarro.html
MarkHarman.html
http___www.cs.ucl.ac.uk_staff_F.Sarro_resource_papers_TSE2021_API_repair.pdf http://www.cs.ucl.ac.uk/staff/F.Sarro/resource/papers/TSE2021_API_repair.pdf
https___ieeexplore.ieee.org_document_9381596 https://ieeexplore.ieee.org/document/9381596
https___mkechagia.github.io_ https://mkechagia.github.io/
http___dx.doi.org_10.1109_TSE.2021.3067156 http://dx.doi.org/10.1109/TSE.2021.3067156
Keedwell:2005:gp Intelligent Bioinformatics: The Application of Artificial Intelligence Techniques to Bioinformatics Problems
EdKeedwell.html
AjitNarayanan.html
http___eu.wiley.com_WileyCDA_WileyTitle_productCd-0470021756.html http://eu.wiley.com/WileyCDA/WileyTitle/productCd-0470021756.html
icga93-gp:keenan Statistical Investigations of Genetic Algorithms and Genetic Programming
NickKeenan.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_ftp.io.com_papers_ICGA-93-GP-Abstracts.ps.Z http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/ftp.io.com/papers/ICGA-93-GP-Abstracts.ps.Z
Kefer:2019:EUROCAST A Model-Based Learning Approach for Controlling the Energy Flows of a Residential Household Using Genetic Programming to Perform Symbolic Regression
KathrinKefer.html
RolandHanghofer.html
PatrickKefer.html
MarkusStoeger.html
MichaelAffenzeller.html
StephanMWinkler.html
StefanWagner.html
BerndHofer.html
http___dx.doi.org_10.1007_978-3-030-45093-9_49 http://dx.doi.org/10.1007/978-3-030-45093-9_49
Kefer:2021:IAM Multi Tree Operators for Genetic Programming to Identify Optimal Energy Flow Controllers
KathrinKefer.html
RolandHanghofer.html
PatrickKefer.html
MarkusStoeger.html
BerndHofer.html
MichaelAffenzeller.html
StephanMWinkler.html
http___dx.doi.org_10.1145_3449726.3463181 http://dx.doi.org/10.1145/3449726.3463181
KEFER:2022:EB Simulation-Based Optimization of Residential Energy Flows Using White Box Modeling by Genetic Programming
KathrinKefer.html
RolandHanghofer.html
PatrickKefer.html
MarkusStoeger.html
BerndHofer.html
MichaelAffenzeller.html
StephanMWinkler.html
https___www.sciencedirect.com_science_article_pii_S0378778821011130 https://www.sciencedirect.com/science/article/pii/S0378778821011130
http___dx.doi.org_10.1016_j.enbuild.2021.111829 http://dx.doi.org/10.1016/j.enbuild.2021.111829
keijzer:1996:aigp2 Efficiently Representing Populations in Genetic Programming
MaartenKeijzer.html
http___ieeexplore.ieee.org_xpl_articleDetails.jsp_tp__arnumber_6277535 http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6277535
http___dx.doi.org_10.7551_mitpress_1109.003.0019 http://dx.doi.org/10.7551/mitpress/1109.003.0019
Keijzer:1997:idfas Implicitly Defined Functions as an alternative to GP-schemata
MaartenKeijzer.html
keijzer:1999:DAGP Dimensionally Aware Genetic Programming
MaartenKeijzer.html
VladanBabovic.html
http___gpbib.cs.ucl.ac.uk_gecco1999_GP-420.ps http://gpbib.cs.ucl.ac.uk/gecco1999/GP-420.ps
http___gpbib.cs.ucl.ac.uk_gecco1999_GP-420.pdf http://gpbib.cs.ucl.ac.uk/gecco1999/GP-420.pdf
keijzer:1999;GPhe Genetic Programming in Hydraulic Engineering
MaartenKeijzer.html
keijzer:1999:SDGP Scientific Discovery using Genetic Programming
MaartenKeijzer.html
keijzer:2000:GPbvt Genetic Programming, Ensemble Methods and the Bias/Variance Tradeoff - Introductory Investigations
MaartenKeijzer.html
VladanBabovic.html
http___dx.doi.org_10.1007_978-3-540-46239-2_6 http://dx.doi.org/10.1007/978-3-540-46239-2_6
Keijzer:2000:GECCO Genetic Programming within a Framework of Computer-Aided Discovery of Scientific Knowledge
MaartenKeijzer.html
VladanBabovic.html
http___gpbib.cs.ucl.ac.uk_gecco2000_RW091.pdf http://gpbib.cs.ucl.ac.uk/gecco2000/RW091.pdf
keijzer:2001:EuroGP Ripple Crossover in Genetic Programming
MaartenKeijzer.html
ConorRyan.html
MichaelO'Neill.html
MikeCattolico.html
VladanBabovic.html
http___dx.doi.org_10.1007_3-540-45355-5_7 http://dx.doi.org/10.1007/3-540-45355-5_7
keijzer:2001:gecco Adaptive Logic Programming
MaartenKeijzer.html
VladanBabovic.html
ConorRyan.html
MichaelO'Neill.html
MikeCattolico.html
http___gpbib.cs.ucl.ac.uk_gecco2001_d01.pdf http://gpbib.cs.ucl.ac.uk/gecco2001/d01.pdf
https___dl.acm.org_doi_10.5555_2955239.2955245 https://dl.acm.org/doi/10.5555/2955239.2955245
me223 Evolving Objects: a general purpose evolutionary computation library
MaartenKeijzer.html
JuanJulianMerelo.html
GustavoRomero.html
MarcSchoenauer.html
http___www.lri.fr__marc_EO_EO-EA01.ps.gz http://www.lri.fr/~marc/EO/EO-EA01.ps.gz
keijzer:2001:thesis Scientific Discovery using Genetic Programming
MaartenKeijzer.html
http___www2.imm.dtu.dk_pubdb_views_edoc_download.php_797_ps_imm797.ps http://www2.imm.dtu.dk/pubdb/views/edoc_download.php/797/ps/imm797.ps
http___www.cs.vu.nl__mkeijzer_publications_thesis.ps.gz http://www.cs.vu.nl/~mkeijzer/publications/thesis.ps.gz
keijzer:2002:EuroGP Grammatical Evolution Rules: The mod and the Bucket Rule
MaartenKeijzer.html
MichaelO'Neill.html
ConorRyan.html
MikeCattolico.html
http___dx.doi.org_10.1007_3-540-45984-7_12 http://dx.doi.org/10.1007/3-540-45984-7_12
keijzer:2002:GPEM Declarative and Preferential Bias in GP-based Scientific Discovery
MaartenKeijzer.html
VladanBabovic.html
https___rdcu.be_czchJ https://rdcu.be/czchJ
http___dx.doi.org_10.1023_A_1014596120381 http://dx.doi.org/10.1023/A:1014596120381
keijzer:2002:gecco:workshop An example of the use of context-sensitive constraints in the ALP system
MaartenKeijzer.html
MikeCattolico.html
http___www.grammatical-evolution.org_gews2002_keijzer.ps.gz http://www.grammatical-evolution.org/gews2002/keijzer.ps.gz
keijzer03 Improving Symbolic Regression with Interval Arithmetic and Linear Scaling
MaartenKeijzer.html
http___www.cs.vu.nl__mkeijzer_publications_eurogp2003.ps.gz http://www.cs.vu.nl/~mkeijzer/publications/eurogp2003.ps.gz
https___rdcu.be_c9fl4 https://rdcu.be/c9fl4
http___dx.doi.org_10.1007_3-540-36599-0_7 http://dx.doi.org/10.1007/3-540-36599-0_7
keijzer:2004:GP Genetic Programming 7th European Conference, EuroGP 2004, Proceedings
MaartenKeijzer.html
Una-MayO'Reilly.html
SimonMLucas.html
ErnestoCosta.html
TerenceSoule.html
http___dx.doi.org_10.1007_b96274 http://dx.doi.org/10.1007/b96274
keijzer:2004:eurogp Alternatives in Subtree Caching for Genetic Programming
MaartenKeijzer.html
http___dx.doi.org_10.1007_978-3-540-24650-3_31 http://dx.doi.org/10.1007/978-3-540-24650-3_31
keijzer:2004:GECCO:lbp Late Breaking Papers at the 2004 Genetic and Evolutionary Computation Conference
MaartenKeijzer.html
http___gpbib.cs.ucl.ac.uk_gecco2004_ http://gpbib.cs.ucl.ac.uk/gecco2004/
keijzer:2004:GPEM Scaled Symbolic Regression
MaartenKeijzer.html
http___dx.doi.org_10.1023_B_GENP.0000030195.77571.f9 http://dx.doi.org/10.1023/B:GENP.0000030195.77571.f9
keijzer:2005:GP Proceedings of the 8th European Conference on Genetic Programming
MaartenKeijzer.html
AndreaGBTettamanzi.html
PierreCollet.html
JanoIvanHemert.html
MarcoTomassini.html
http___dx.doi.org_10.1007_b107383 http://dx.doi.org/10.1007/b107383
eurogp:KeijzerRMC05 Undirected Training of Run Transferable Libraries
MaartenKeijzer.html
ConorRyan.html
GearoidMurphy.html
MikeCattolico.html
http___dx.doi.org_10.1007_978-3-540-31989-4_33 http://dx.doi.org/10.1007/978-3-540-31989-4_33
http___dx.doi.org_10.1007_b107383 http://dx.doi.org/10.1007/b107383
1068343 Determining equations for vegetation induced resistance using genetic programming
MaartenKeijzer.html
MartinJBaptist.html
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kinnear:keith Genetic Programming in C++: Implementation Issues
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kell:2002:BIW Defence against the flood
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kell:2002:TG Genotype-phenotype mapping: genes as computer programs
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Kell:2017:GPEM Evolutionary algorithms and synthetic biology for directed evolution: commentary on ``on the mapping of genotype to phenotype in evolutionary algorithms'' by Peter A. Whigham, Grant Dick, and James Maclaurin
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keller:1999:aigp3 CAD Surface Reconstruction from Digitized 3D Point Data with a Genetic Programming/Evolution Strategy hybrid
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keller:1999:TEGCGP The Evolution of Genetic Code in Genetic Programming
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1277303 Linear genetic programming of metaheuristics
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keller07:_cost_genet_progr_hyper Cost-benefit investigation of a Genetic-Programming Hyperheuristic
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Keller:2008:WCCI Self-Adaptive Hyperheuristic and Greedy Search
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DBLP:phd/dnb/Keller12a Toward autopoietic programming
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Kelly:2019:EuroGP Improving Genetic Programming with Novel Exploration - Exploitation Control
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Kelly:2012:CEC On Run Time Libraries and Hierarchical Symbiosis
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kelly:2014:EuroGP On Diversity, Teaming, and Hierarchical Policies: Observations from the Keepaway Soccer Task
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Kelly_Heywood_2014 Genotypic versus Behavioural Diversity for Teams of Programs under the 4-v-3 Keepaway Soccer Task
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Kelly:2015:GECCO Knowledge Transfer from Keepaway Soccer to Half-field Offense through Program Symbiosis: Building Simple Programs for a Complex Task
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Kelly:2017:EuroGP Emergent Tangled Graph Representations for Atari Game Playing Agents
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Kelly:2017:GECCO Multi-task Learning in Atari Video Games with Emergent Tangled Program Graphs
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Kelly:2017:ieeeTCIAIgames Discovering Agent Behaviours through Code Reuse: Examples from Half-Field Offense and Ms. Pac-Man
StephenKelly.html
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http___dx.doi.org_10.1109_TCIAIG.2017.2766980 http://dx.doi.org/10.1109/TCIAIG.2017.2766980
ijcai2018p740 Emergent Tangled Program Graphs in Multi-Task Learning
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Kelly:2018:EC Emergent Solutions to High-Dimensional Multi-Task Reinforcement Learning
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kelly:2018:GPTP Emergent Policy Discovery for Visual Reinforcement Learning Through Tangled Program Graphs: A Tutorial
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Kelly:thesis Scaling Genetic Programming to Challenging Reinforcement Tasks through Emergent Modularity
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Kelly:2019:GPTP Temporal Memory Sharing in Visual Reinforcement Learning
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Kelly:2020:GECCO A Modular Memory Framework for Time Series Prediction
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Kelly:2021:TELO Emergent Tangled Program Graphs in Partially Observable Recursive Forecasting and ViZDoom Navigation Tasks
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Kelly:GPEM Evolving hierarchical memory-prediction machines in multi-task reinforcement learning
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Ken:2015:ieeeSSCI Evolving Workflow Graphs Using Typed Genetic Programming
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Kendall:2018:Conversation Evolutionary computation has been promising self-programming machines for 60 years - so where are they?
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Kendall:2018:ieeeCIM Is Evolutionary Computation Evolving Fast Enough?
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kennedy:1998:ehocl Evolutionary Higher-Order Concept Learning
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1999-kennedy-7 Predicting Chemical Carcinogenesis Using Structural Information Only
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ClaireJKennedy:thesis Strongly Typed Evolutionary Programming
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kennedy:2001:fstugpsdrfmp First Steps Towards Using Genetic Programming to Solve a Distributed Radio Frequency Management Problem
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Kennedy:2007:GPEM Review of Engelbrecht's Fundamentals of Computational Swarm Intelligence
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Kennedy:2001:CS A Model of Gene Expression and Regulation in an Artificial Cellular Organism
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Kennelly:1997:Supersonic Genetic Evolution of Shape-Altering Programs for Supersonic Aerodynamics
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Kennelly:1997:SupersonicLB Genetic Evolution of Shape-Altering Programs for Supersonic Aerodynamics
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kenny:2023:GECCO Hybridizing TPOT with Bayesian Optimization
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Kenny:2024:evoapplications A Hierarchical Dissimilarity Metric for Automated Machine Learning Pipelines, and Visualizing Search Behaviour
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DOCuGP:Kent Diagnosis of Oral Cancer using Genetic Programming
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BSPoGPTR:Kent Bulk Synchronous Parallelisation of Genetic Programming
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BSPoGP:Kent Bulk Synchronous Parallelisation of Genetic Programming
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Kent:GPfPaC Genetic Programming for Prediction and Control
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Kent:thesis Evolutionary Approaches to Robot Path Planning
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oai:inderscience.com:10390 Artificial intelligence makes computers lazy
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Kera:2016:CEC Vanishing Ideal Genetic Programming
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Kermani:2009:IJCE New Predictive Models for the v max/a max Ratio of Strong Ground Motions using Genetic Programming
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Kermani:2019:ICEGE Peak Ground Velocity attenuation relationships using Genetic Programming
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YaserJafarian.html
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journals/eaai/KeshavarzM15 New Gene Expression Programming models for normalized shear modulus and damping ratio of sands
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MohammadMehramiri.html
http___dx.doi.org_10.1016_j.engappai.2015.07.022 http://dx.doi.org/10.1016/j.engappai.2015.07.022
Kessentini:2011:ICPC Design Defects Detection and Correction by Example
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HouariSahraoui.html
MounirBoukadoum.html
AliOuni.html
http___dx.doi.org_10.1109_ICPC.2011.22 http://dx.doi.org/10.1109/ICPC.2011.22
Kessentini:2017:ieeeMOBILESoft Detecting Android Smells Using Multi-Objective Genetic Programming
MarouaneKessentini.html
AliOuni.html
http___dx.doi.org_10.1109_MOBILESoft.2017.29 http://dx.doi.org/10.1109/MOBILESoft.2017.29
kessler:1998:a2xGP Avoiding Two-Bit Crossovers in Genetic Programming
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Kessler:1999:DCG:298151.298365 Depth-fair crossover in genetic programming
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ThomasDHaynes.html
http___dx.doi.org_10.1145_298151.298365 http://dx.doi.org/10.1145/298151.298365
oai:CiteSeerPSU:567095 Topics in Soft Computing
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Keyhanipour2009 A GP-adaptive web ranking discovery framework based on combinative content and context features
AmirHoseinKeyhanipour.html
MaryamPiroozmand.html
KambizBadie.html
http___dx.doi.org_10.1016_j.joi.2008.11.006 http://dx.doi.org/10.1016/j.joi.2008.11.006
http___www.sciencedirect.com_science_article_B83WV-4V99602-2_2_dbdb4475cf1bfdaf20f775edd1aa4636 http://www.sciencedirect.com/science/article/B83WV-4V99602-2/2/dbdb4475cf1bfdaf20f775edd1aa4636
Keyhanipour:2013:FUSION Designing a web spam classifier based on feature fusion in the Layered Multi-population Genetic Programming framework
AmirHoseinKeyhanipour.html
BehzadMoshiri.html
http___ieeexplore.ieee.org_xpl_articleDetails.jsp_tp__arnumber_6641335 http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6641335
Keyhanipour:2016:GPEM Learning to rank: new approach with the layered multi-population genetic programming on click-through features
AmirHoseinKeyhanipour.html
BehzadMoshiri.html
FarhadOroumchian.html
MaseudRahgozar.html
KambizBadie.html
http___dx.doi.org_10.1007_s10710-016-9263-y http://dx.doi.org/10.1007/s10710-016-9263-y
KEYVAN:2021:SAPAMBS An intelligent method based on feed-forward artificial neural network and least square support vector machine for the simultaneous spectrophotometric estimation of anti hepatitis C virus drugs in pharmaceutical formulation and biological fluid
KiarashKeyvan.html
MahmoudRezaSohrabi.html
FereshtehMotiee.html
http___dx.doi.org_10.1016_j.saa.2021.120190 http://dx.doi.org/10.1016/j.saa.2021.120190
https___www.sciencedirect.com_science_article_pii_S1386142521007678 https://www.sciencedirect.com/science/article/pii/S1386142521007678
Khadem:2014:JNGSE Pressure and temperature functionality of paraffin-carbon dioxide interfacial tension using genetic programming and dimension analysis (GPDA) method
SayyedAhmadKhadem.html
ImanRaoofiJahromi.html
AliZolghadr.html
ShahabAyatollahi.html
http___www.sciencedirect.com_science_article_pii_S1875510014001978 http://www.sciencedirect.com/science/article/pii/S1875510014001978
http___dx.doi.org_10.1016_j.jngse.2014.07.010 http://dx.doi.org/10.1016/j.jngse.2014.07.010
Khadka:2012:IJMIT Performance Analysis of Hybrid Forecasting Model In Stock Market Forecasting
MaheshSKhadka.html
KMGeorge.html
NohpillPark.html
JaebeomKim.html
http___arxiv.org_abs_1209.4608 http://arxiv.org/abs/1209.4608
http___airccse.org_journal_ijmit_papers_4312ijmit07.pdf http://airccse.org/journal/ijmit/papers/4312ijmit07.pdf
http___dx.doi.org_10.5121_ijmit.2012.4307 http://dx.doi.org/10.5121/ijmit.2012.4307
KHAFAGY:2022:JH Multi-gene genetic programming expressions for simulating solute transport in fractures
MohamedKhafagy.html
WaelEl-Dakhakhni.html
SarahDickson-Anderson.html
http___dx.doi.org_10.1016_j.jhydrol.2021.127316 http://dx.doi.org/10.1016/j.jhydrol.2021.127316
https___www.sciencedirect.com_science_article_pii_S0022169421013664 https://www.sciencedirect.com/science/article/pii/S0022169421013664
Khalaj:2013:SCT Chromium carbonitride coating produced on DIN 1.2210 steel by thermo-reactive deposition technique: Thermodynamics, kinetics and modeling
GholamrezaKhalaj.html
AliNazari.html
SeyyedMohammadMousaviKhoie.html
MohammadJavadKhalaj.html
HesamPouraliakbar.html
http___dx.doi.org_10.1016_j.surfcoat.2013.02.030 http://dx.doi.org/10.1016/j.surfcoat.2013.02.030
http___www.sciencedirect.com_science_article_pii_S0257897213001850 http://www.sciencedirect.com/science/article/pii/S0257897213001850
Khaleel:2018:IEEEAccess Optimization of Computing and Networking Resources of a Hadoop Cluster Based on Software Defined Network
AliKhaleel.html
HamedAl-Raweshidy.html
http___dx.doi.org_10.1109_ACCESS.2018.2876385 http://dx.doi.org/10.1109/ACCESS.2018.2876385
khaleghi:2023:GPEM A new hybrid method of Evolutionary-Numerical algorithms to solve ODEs arising in physics and engineering
SeyedRezaMirshafaei.html
HashemSaberiNajafi.html
EsmaeelKhaleghi_.html
AmirhoseinRefahiSheikhani.html
https___rdcu.be_c5KSt https://rdcu.be/c5KSt
http___dx.doi.org_10.1007_s10710-023-09450-6 http://dx.doi.org/10.1007/s10710-023-09450-6
KHALILIAN:2021:ESA CGenProg: Adaptation of cartesian genetic programming with migration and opposite guesses for automatic repair of software regression faults
AlirezaKhalilian.html
AhmadBaraani-Dastjerdi.html
BahmanZamani.html
http___dx.doi.org_10.1016_j.eswa.2020.114503 http://dx.doi.org/10.1016/j.eswa.2020.114503
https___www.sciencedirect.com_science_article_pii_S0957417420311477 https://www.sciencedirect.com/science/article/pii/S0957417420311477
Khamar:2018:CFIS Generating kernel matrix for rotation forest through genetic programming
MojtabaKhamar.html
MehdiEftekhari.html
http___dx.doi.org_10.1109_CFIS.2018.8336642 http://dx.doi.org/10.1109/CFIS.2018.8336642
Khamehchi:2009:JAS Intelligent System for Continuous Gas Lift Operation and Design with Unlimited Gas Supply
EhsanKhamehchi.html
FariborzRashidi.html
HOmranpour.html
SaeedShiryGhidary.html
AmirEbrahimian.html
HRasouli.html
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Khan:2015:CICN Intelligent Crossover and Mutation Technique to Control Bloat for Breast Cancer Diagnosis
ArzooKhan.html
MedhaviChouhan.html
http___dx.doi.org_10.1109_CICN.2015.82 http://dx.doi.org/10.1109/CICN.2015.82
Khan:2012:HIS Visual category recognition for the improved storage and retrieval performance of the CCTV camera system
AsifAliKhan.html
SyedFaizAkbarShah.html
FahadUllah.html
NasruMinallah.html
http___dx.doi.org_10.1109_HIS.2012.6421341 http://dx.doi.org/10.1109/HIS.2012.6421341
Khan:2004:IJECE Optimizing Perceptual Shaping of a Digital Watermark Using Genetic Programming
AsifullahKhan.html
AnwarMMirza.html
AbdulMajid.html
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http___www.sid.ir_En_VEWSSID_J_pdf_89020040210.pdf http://www.sid.ir/En/VEWSSID/J_pdf/89020040210.pdf
Khan:2005:IJKBIE Combination and optimization of classifiers in gender classification using genetic programming
AsifullahKhan.html
AbdulMajid.html
AnwarMMirza.html
http___content.iospress.com_articles_international-journal-of-knowledge-based-and-intelligent-engineering-systems_kes00019 http://content.iospress.com/articles/international-journal-of-knowledge-based-and-intelligent-engineering-systems/kes00019
http___dx.doi.org_10.3233_KES-2005-9101 http://dx.doi.org/10.3233/KES-2005-9101
Intelligent_perceptual_shaping_WM_asif Intelligent Perceptual Shaping of a Digital Watermark
AsifullahKhan.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_Intelligent_perceptual_shaping_WM_asif.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/Intelligent_perceptual_shaping_WM_asif.pdf
khan:2006:IJKBIE Intelligent perceptual shaping of a digital watermark: Exploiting Characteristics of human visual system
AsifullahKhan.html
AnwarMMirza.html
AbdulMajid.html
http___content.iospress.com_articles_international-journal-of-knowledge-based-and-intelligent-engineering-systems_kes00074 http://content.iospress.com/articles/international-journal-of-knowledge-based-and-intelligent-engineering-systems/kes00074
http___dx.doi.org_10.3233_KES-2006-10304 http://dx.doi.org/10.3233/KES-2006-10304
Khan:2006:IJKBIES A novel approach to decoding: Exploiting anticipated attack information using genetic programming
AsifullahKhan.html
http___content.iospress.com_articles_international-journal-of-knowledge-based-and-intelligent-engineering-systems_kes00078 http://content.iospress.com/articles/international-journal-of-knowledge-based-and-intelligent-engineering-systems/kes00078
http___dx.doi.org_10.3233_KES-2006-10502 http://dx.doi.org/10.3233/KES-2006-10502
Khan:2006:IF Genetic perceptual shaping: Utilizing cover image and conceivable attack information during watermark embedding
AsifullahKhan.html
AnwarMMirza.html
http___dx.doi.org_10.1016_j.inffus.2005.09.007 http://dx.doi.org/10.1016/j.inffus.2005.09.007
Khan:2008:SS Predicting regularities in lattice constants of GdFeO$\sb 3$-type perovskites
AsifullahKhan.html
SyedGibranJaved.html
http___journals.iucr.org_b_ http://journals.iucr.org/b/
http___dx.doi.org_10.1107_S0108768107057527 http://dx.doi.org/10.1107/S0108768107057527
Khan:2009:IHA Intelligent Perceptual Shaping in Digital Watermarking
AsifullahKhan.html
ImranUsman.html
http___dx.doi.org_10.1007_978-3-642-02335-4_6 http://dx.doi.org/10.1007/978-3-642-02335-4_6
Khan:2019:arXiv A Recent Survey on the Applications of Genetic Programming in Image Processing
AsifullahKhan.html
AqsaSaeedQureshi.html
NoorulWahab.html
MutawaraHussain.html
MuhammadYousafHamza.html
https___arxiv.org_abs_1901.07387 https://arxiv.org/abs/1901.07387
DBLP:journals/ci/KhanQWHH21 A recent survey on the applications of genetic programming in image processing
AsifullahKhan.html
AqsaSaeedQureshi.html
NoorulWahab.html
MutawarraHussain.html
MuhammadYousafHamza.html
http___dx.doi.org_https___doi.org_10.1111_coin.12459 http://dx.doi.org/https://doi.org/10.1111/coin.12459
1277013 Coevolution of intelligent agents using cartesian genetic programming
GulMuhammadKhan.html
JulianFMiller.html
DavidMHalliday.html
http___gpbib.cs.ucl.ac.uk_gecco2007_docs_p269.pdf http://gpbib.cs.ucl.ac.uk/gecco2007/docs/p269.pdf
http___dx.doi.org_10.1145_1276958.1277013 http://dx.doi.org/10.1145/1276958.1277013
1274022 A developmental model of neural computation using cartesian genetic programming
GulMuhammadKhan.html
JulianFMiller.html
DavidMHalliday.html
http___gpbib.cs.ucl.ac.uk_gecco2007_docs_p2535.pdf http://gpbib.cs.ucl.ac.uk/gecco2007/docs/p2535.pdf
http___dx.doi.org_10.1145_1274000.1274022 http://dx.doi.org/10.1145/1274000.1274022
Khan:2008:geccocomp Developing neural structure of two agents that play checkers using cartesian genetic programming
GulMuhammadKhan.html
JulianFMiller.html
DavidMHalliday.html
http___gpbib.cs.ucl.ac.uk_gecco2008_docs_p2169.pdf http://gpbib.cs.ucl.ac.uk/gecco2008/docs/p2169.pdf
http___dx.doi.org_10.1145_1388969.1389042 http://dx.doi.org/10.1145/1388969.1389042
Khan:2009:cec In Search of Intelligent Genes: The Cartesian Genetic Programming Computational Neuron (CGPCN)
GulMuhammadKhan.html
JulianFMiller.html
DavidMHalliday.html
http___dx.doi.org_10.1109_CEC.2009.4982997 http://dx.doi.org/10.1109/CEC.2009.4982997
DBLP:conf/gecco/KhanM09 Evolution of cartesian genetic programs capable of learning
GulMuhammadKhan.html
JulianFMiller.html
http___dx.doi.org_10.1145_1569901.1569999 http://dx.doi.org/10.1145/1569901.1569999
Khan:2011:EC Evolution of Cartesian Genetic Programs for Development of Learning Neural Architecture
GulMuhammadKhan.html
JulianFMiller.html
DavidMHalliday.html
http___dx.doi.org_10.1162_EVCO_a_00043_ http://dx.doi.org/10.1162/EVCO_a_00043)
Khan:2011:CGP The CGP Developmental Network
GulMuhammadKhan.html
JulianFMiller.html
http___www.springer.com_computer_theoretical_computer_science_book_978-3-642-17309-7 http://www.springer.com/computer/theoretical+computer+science/book/978-3-642-17309-7
http___dx.doi.org_10.1007_978-3-642-17310-3_9 http://dx.doi.org/10.1007/978-3-642-17310-3_9
Khan:2013:IJCNN Electrical load forecasting using fast learning recurrent neural networks
GulMuhammadKhan.html
AtifRashidKhattak.html
FaheemZafari.html
SahibzadaAliMahmud.html
http___dx.doi.org_10.1109_IJCNN.2013.6706998 http://dx.doi.org/10.1109/IJCNN.2013.6706998
Khan:2013:ICMLA Very Short Term Load Forecasting Using Cartesian Genetic Programming Evolved Recurrent Neural Networks (CGPRNN)
GulMuhammadKhan.html
FaheemZafari.html
SahibzadaAliMahmud.html
http___dx.doi.org_10.1109_ICMLA.2013.181 http://dx.doi.org/10.1109/ICMLA.2013.181
Khan:2014:IJCNN Wind power forecasting: An application of machine learning in renewable energy
GulMuhammadKhan.html
JawadAli.html
SahibzadaAliMahmud.html
http___dx.doi.org_10.1109_IJCNN.2014.6889771 http://dx.doi.org/10.1109/IJCNN.2014.6889771
Khan:2014:ieeeTEC Intelligent Bandwidth Estimation for Variable Bit Rate Traffic
GulMuhammadKhan.html
RabiaArshad.html
SahibzadaAliMahmud.html
FahadUllah.html
http___dx.doi.org_10.1109_TEVC.2013.2285122 http://dx.doi.org/10.1109/TEVC.2013.2285122
Khan:2016:GPEM Dynamic feedback neuro-evolutionary networks for forecasting the highly fluctuating electrical loads
GulMuhammadKhan.html
FaheemZafari.html
http___dx.doi.org_10.1007_s10710-016-9268-6 http://dx.doi.org/10.1007/s10710-016-9268-6
Khan:2017:miller Breaking the Stereotypical Dogma of Artificial Neural Networks with Cartesian Genetic Programming
GulMuhammadKhan.html
ArbabMasoodAhmad.html
http___dx.doi.org_10.1007_978-3-319-67997-6_10 http://dx.doi.org/10.1007/978-3-319-67997-6_10
Khan:2018:eANd Evolution of Artificial Neural Development: In search of learning genes
GulMuhammadKhan.html
https___www.springer.com_gp_book_9783319674643 https://www.springer.com/gp/book/9783319674643
https___www.amazon.co.uk_Evolution-Artificial-Neural-Development-Computational-ebook_dp_B076YWYQ38 https://www.amazon.co.uk/Evolution-Artificial-Neural-Development-Computational-ebook/dp/B076YWYQ38
Khan:2013:IJIAS Intelligent Churn prediction for Telecommunication Industry
ImranKhan.html
ImranUsman.html
TariqUsman.html
Ghani-Ur-Rehman.html
Ateeq-Ur-Rehman.html
http___www.issr-journals.org_xplore_ijias_IJIAS-13-147-13.pdf http://www.issr-journals.org/xplore/ijias/IJIAS-13-147-13.pdf
Khan:2012:Genomics A survey of application: Genomics and genetic programming, a new frontier
MohammadWahabKhan.html
MansafAlam.html
http___www.sciencedirect.com_science_article_pii_S0888754312001073 http://www.sciencedirect.com/science/article/pii/S0888754312001073
http___dx.doi.org_10.1016_j.ygeno.2012.05.014 http://dx.doi.org/10.1016/j.ygeno.2012.05.014
Khan:2010:cec Evolution of neural networks using Cartesian Genetic Programming
MaryamMahsalKhan.html
GulMuhammadKhan.html
JulianFMiller.html
http___dx.doi.org_10.1109_CEC.2010.5586547 http://dx.doi.org/10.1109/CEC.2010.5586547
Khan:2010:ISDA Efficient representation of Recurrent Neural Networks for Markovian/non-Markovian Non-linear Control Problems
MaryamMahsalKhan.html
GulMuhammadKhan.html
JulianFMiller.html
http___dx.doi.org_10.1109_ISDA.2010.5687197 http://dx.doi.org/10.1109/ISDA.2010.5687197
Khan:2010:FIT A novel NeuroEvolutionary algorithm: Cartesian genetic programming evolved artificial neural network (CGPANN)
MaryamMahsalKhan.html
GulMuhammadKhan.html
http___dx.doi.org_10.1145_1943628.1943676 http://dx.doi.org/10.1145/1943628.1943676
conf/icai/KhanKM10 Evolution of Optimal ANNs for Non-Linear Control Problems using Cartesian Genetic Programming
MaryamMahsalKhan.html
GulMuhammadKhan.html
JulianFMiller.html
http___www.cartesiangp.co.uk_papers_icai2010-khan.pdf http://www.cartesiangp.co.uk/papers/icai2010-khan.pdf
icinco2011-khan Developmental Plasticity in Cartesian Genetic Programming based Neural Networks
MaryamMahsalKhan.html
GulMuhammadKhan.html
JulianFMiller.html
http___www.cartesiangp.co.uk_papers_icinco2011-khan.pdf http://www.cartesiangp.co.uk/papers/icinco2011-khan.pdf
Khan:2013:Neurocomputing Fast learning neural networks using Cartesian genetic programming
MaryamMahsalKhan.html
ArbabMasoodAhmad.html
GulMuhammadKhan.html
JulianFMiller.html
http___dx.doi.org_10.1016_j.neucom.2013.04.005 http://dx.doi.org/10.1016/j.neucom.2013.04.005
http___www.sciencedirect.com_science_article_pii_S0925231213004499 http://www.sciencedirect.com/science/article/pii/S0925231213004499
http___results.ref.ac.uk_Submissions_Output_3354639 http://results.ref.ac.uk/Submissions/Output/3354639
Khan:2017:Neurocomputing Evolving multi-dimensional wavelet neural networks for classification using Cartesian Genetic Programming
MaryamMahsalKhan.html
AlexandreMendes.html
PingZhang.html
StephanKChalup.html
http___dx.doi.org_10.1016_j.neucom.2017.03.048 http://dx.doi.org/10.1016/j.neucom.2017.03.048
http___www.sciencedirect.com_science_article_pii_S0925231217305635 http://www.sciencedirect.com/science/article/pii/S0925231217305635
Maryam_Mahsal_Khan_thesis Evolutionary wavelet neural networks in data classification and dynamic control
MaryamMahsalKhan.html
http___hdl.handle.net_1959.13_1384187 http://hdl.handle.net/1959.13/1384187
https___nova.newcastle.edu.au_vital_access_manager_Repository_uon_32023_view_null_f0_sm_subject_3A_22intelligent_controllers_22_sort_ss_dateNormalized_5C https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:32023?view=null&f0=sm_subject%3A%22intelligent+controllers%22&sort=ss_dateNormalized%5C
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journals/concurrency/KhanHLTK17 Optimizing hadoop parameter settings with gene expression programming guided PSO
MukhtajKhan.html
ZhengwenHuang.html
MaozhenLi.html
GarethATaylor.html
MushtaqKhan.html
http___dx.doi.org_10.1002_cpe.3786 http://dx.doi.org/10.1002/cpe.3786
Khan:2017:ICMLA Efficient Prediction of Dynamic Tariff in Smart Grid Using CGP Evolved Artificial Neural Networks
GulMuhammadKhan.html
RabiaArshad.html
NadiaMasoodKhan.html
http___dx.doi.org_10.1109_ICMLA.2017.0-113 http://dx.doi.org/10.1109/ICMLA.2017.0-113
khan:evoANNdev Evolution of Artificial Neural Development: In search of learning genes
GulMuhammadKhan.html
http___link.springer.com_chapter_10.1007_978-3-319-67466-7 http://link.springer.com/chapter/10.1007/978-3-319-67466-7
http___dx.doi.org_10.1007_978-3-319-67466-7 http://dx.doi.org/10.1007/978-3-319-67466-7
khan:2023:ICICTD A Multigene Genetic Programming Approach for Soil Classification and Crop Recommendation
IshratKhan.html
PintuChandraShill.html
http___link.springer.com_chapter_10.1007_978-981-19-7528-8_32 http://link.springer.com/chapter/10.1007/978-981-19-7528-8_32
http___dx.doi.org_10.1007_978-981-19-7528-8_32 http://dx.doi.org/10.1007/978-981-19-7528-8_32
Khan:2022:ICAI COVID-19 Spread Prediction and Its Impact on the Stock market price
MusaKhan.html
GulMuhammadKhan.html
http___dx.doi.org_10.1109_ICAI55435.2022.9773481 http://dx.doi.org/10.1109/ICAI55435.2022.9773481
conf/icmla/KhanK17 Audio Signal Reconstruction Using Cartesian Genetic Programming Evolved Artificial Neural Network (CGPANN)
NadiaMasoodKhan.html
GulMuhammadKhan.html
http___ieeexplore.ieee.org_xpl_mostRecentIssue.jsp_punumber_8258911 http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=8258911
http___dx.doi.org_10.1109_ICMLA.2017.0-100 http://dx.doi.org/10.1109/ICMLA.2017.0-100
DBLP:conf/flairs/KhanSBFB13 Learning Social Calculus with Genetic Programing
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JonathanStreater.html
TaranjeetSinghBhatia.html
StephenMFiore.html
LadislauBoloni.html
https___dblp.org_rec_conf_flairs_KhanSBFB13.bib https://dblp.org/rec/conf/flairs/KhanSBFB13.bib
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https___www.aaai.org_ocs_index.php_FLAIRS_FLAIRS13_paper_download_5898_6047 https://www.aaai.org/ocs/index.php/FLAIRS/FLAIRS13/paper/download/5898/6047
Khan:2022:Materials Predicting the Ultimate Axial Capacity of Uniaxially Loaded CFST Columns Using Multiphysics Artificial Intelligence
SangeenKhan.html
MohsinAliKhan.html
AdeelZafar.html
MuhammadFaisalJaved.html
FahidAslam.html
MuhammadAliMusarat.html
NikolaiIvanovichVatin.html
https___www.mdpi.com_1996-1944_15_1_39 https://www.mdpi.com/1996-1944/15/1/39
https___www.mdpi.com_1996-1944_15_1_39.pdf https://www.mdpi.com/1996-1944/15/1/39.pdf
http___dx.doi.org_10.3390_ma15010039 http://dx.doi.org/10.3390/ma15010039
khanchi:2016:EuroGP On the Impact of Class Imbalance in GP Streaming Classification with Label Budgets
SaraKhanchi.html
MalcolmHeywood.html
NurZincir-Heywood.html
http___dx.doi.org_10.1007_978-3-319-30668-1_3 http://dx.doi.org/10.1007/978-3-319-30668-1_3
KhanchiHZ17 Properties of a GP active learning framework for streaming data with class imbalance
SaraKhanchi.html
MalcolmHeywood.html
NurZincir-Heywood.html
http___doi.acm.org_10.1145_3071178.3071213 http://doi.acm.org/10.1145/3071178.3071213
http___dx.doi.org_10.1145_3071178.3071213 http://dx.doi.org/10.1145/3071178.3071213
Khanchi:2018:NOMS Streaming Botnet traffic analysis using bio-inspired active learning
SaraKhanchi.html
NurZincir-Heywood.html
MalcolmHeywood.html
http___dx.doi.org_10.1109_NOMS.2018.8406293 http://dx.doi.org/10.1109/NOMS.2018.8406293
khanchi19 On botnet detection with genetic programming under streaming data label budgets and class imbalance
SaraKhanchi.html
AliVahdat.html
MalcolmHeywood.html
NurZincir-Heywood.html
https___doi.org_10.1016_j.swevo.2017.09.008 https://doi.org/10.1016/j.swevo.2017.09.008
http___dx.doi.org_10.1016_j.swevo.2017.09.008 http://dx.doi.org/10.1016/j.swevo.2017.09.008
Khanchi:thesis Stream Genetic Programming for Botnet Detection
SaraKhanchi.html
http___hdl.handle.net_10222_76773 http://hdl.handle.net/10222/76773
https___dalspace.library.dal.ca_bitstream_handle_10222_76773_Khanchi-Sara-PhD-CS-Nov-2019.pdf https://dalspace.library.dal.ca/bitstream/handle/10222/76773/Khanchi-Sara-PhD-CS-Nov-2019.pdf
journals/ewc/KhandelwalFMAMY17 Function development for appraising brittleness of intact rocks using genetic programming and non-linear multiple regression models
ManojKhandelwal.html
RoohollahShiraniFaradonbeh.html
MasoudMonjezi.html
DanialJahedArmaghani.html
MuhdZaimiBinAbdMajid.html
SaffetYagiz.html
http___dx.doi.org_10.1007_s00366-016-0452-3 http://dx.doi.org/10.1007/s00366-016-0452-3
Khandelwal:2019:CEC Data-driven Modelling of Dynamical Systems Using Tree Adjoining Grammar and Genetic Programming
DhruvKhandelwal.html
MaartenSchoukens.html
RolandToth.html
http___dx.doi.org_10.1109_CEC.2019.8790250 http://dx.doi.org/10.1109/CEC.2019.8790250
Khandelwal:thesis Automating Data-driven Modelling of Dynamical Systems: An Evolutionary Computation Approach
DhruvKhandelwal.html
https___research.tue.nl_files_147585343_20200304_Khandelwal.pdf https://research.tue.nl/files/147585343/20200304_Khandelwal.pdf
Khandelwal:book Automating Data-Driven Modelling of Dynamical Systems: An Evolutionary Computation Approach
DhruvKhandelwal.html
https___www.amazon.co.uk_Automating-Data-Driven-Modelling-Dynamical-Systems_dp_3030903427 https://www.amazon.co.uk/Automating-Data-Driven-Modelling-Dynamical-Systems/dp/3030903427
http___dx.doi.org_10.1007_978-3-030-90343-5 http://dx.doi.org/10.1007/978-3-030-90343-5
Khanh:2012:ojos Comparisons of VAR Model and Models Created by Genetic Programming in Consumer Price Index Prediction in Vietnam
PhamVanKhanh.html
http___www.scirp.org_journal_PaperInformation.aspx_PaperID_20739 http://www.scirp.org/journal/PaperInformation.aspx?PaperID=20739
http___dx.doi.org_10.4236_ojs.2012.23029 http://dx.doi.org/10.4236/ojs.2012.23029
KHANI:2023:tsep Optimal 6E design of an integrated solar energy-driven polygeneration and CO2 capture system: A machine learning approach
NastaranKhani.html
MohammadHasanKhoshgoftarManesh.html
VivianiCOnishi.html
http___dx.doi.org_10.1016_j.tsep.2023.101669 http://dx.doi.org/10.1016/j.tsep.2023.101669
https___www.sciencedirect.com_science_article_pii_S2451904923000227 https://www.sciencedirect.com/science/article/pii/S2451904923000227
khanmohammadi:2022:Mathematics Prediction and Optimization of Pile Bearing Capacity Considering Effects of Time
MohammadrezaKhanmohammadi.html
DanialJahedArmaghani.html
MohanadMuayadSabriSabri.html
https___www.mdpi.com_2227-7390_10_19_3563 https://www.mdpi.com/2227-7390/10/19/3563
http___dx.doi.org_10.3390_math10193563 http://dx.doi.org/10.3390/math10193563
Khanna:thesis Design and Development of Models for Analyzing Software Evolution
MeghaUmmat.html
http___dspace.dtu.ac.in_8080_jspui_handle_repository_16678 http://dspace.dtu.ac.in:8080/jspui/handle/repository/16678
http___dspace.dtu.ac.in_8080_jspui_bitstream_repository_16678_1_2k13phdco05_Megha_Thesis_may2019.pdf http://dspace.dtu.ac.in:8080/jspui/bitstream/repository/16678/1/2k13phdco05_Megha_Thesis_may2019.pdf
Khantsis:2005:ausai UAV Controller Design Using Evolutionary Algorithms
SergeyKhantsis.html
AnnaBourmistrova.html
http___dx.doi.org_10.1007_11589990_134 http://dx.doi.org/10.1007/11589990_134
Kharma:2014:ALIFE CodeRouge: a Project to Evolve Life-like Autonomous Programs
NawwafKharma.html
WilliamRBuckley.html
http___mitpress.mit.edu_sites_default_files_titles_content_alife14_ch133.html http://mitpress.mit.edu/sites/default/files/titles/content/alife14/ch133.html
http___dx.doi.org_10.7551_978-0-262-32621-6-ch133 http://dx.doi.org/10.7551/978-0-262-32621-6-ch133
Kharma:2015:CRV Evolution of Programs for Segmentation of Microscopic Images
NawwafKharma.html
MohammadEbne-Alian.html
LouisCharbonneau.html
http___dx.doi.org_10.1109_CRV.2015.40 http://dx.doi.org/10.1109/CRV.2015.40
Khatib:2020:IJCA Automated Discovery of Symbolic Approximation Formulae using Genetic Programming
MohamedMKhatib.html
https___www.ijcaonline.org_archives_volume176_number13_khatib-2020-ijca-920053.pdf https://www.ijcaonline.org/archives/volume176/number13/khatib-2020-ijca-920053.pdf
http___www.ijcaonline.org_archives_volume176_number13_31262-2020920053 http://www.ijcaonline.org/archives/volume176/number13/31262-2020920053
http___dx.doi.org_10.5120_ijca2020920053 http://dx.doi.org/10.5120/ijca2020920053
Khatibi2011 Comparison of three artificial intelligence techniques for discharge routing
RahmanKhatibi.html
MohammadAliGhorbani.html
MahsaHasanpourKashani.html
OzgurKisi.html
http___dx.doi.org_10.1016_j.jhydrol.2011.03.007 http://dx.doi.org/10.1016/j.jhydrol.2011.03.007
http___www.sciencedirect.com_science_article_B6V6C-52G2370-1_2_930aa6b55c99eef1f1b8abf473b2e17e http://www.sciencedirect.com/science/article/B6V6C-52G2370-1/2/930aa6b55c99eef1f1b8abf473b2e17e
Khatir:2008:cec Investigating the Baldwin Effect on Cartesian Genetic Programming Efficiency
MehrdadKhatir.html
AmirHosseinJahangir.html
HamidBeigy.html
http___dx.doi.org_10.1109_CEC.2008.4631113 http://dx.doi.org/10.1109/CEC.2008.4631113
KHATRI:2018:PCS Enhancing Decision Tree Classification Accuracy through Genetically Programmed Attributes for Wart Treatment Method Identification
SabitaKhatri.html
DeepakArora.html
AnilKumar.html
http___dx.doi.org_10.1016_j.procs.2018.05.141 http://dx.doi.org/10.1016/j.procs.2018.05.141
http___www.sciencedirect.com_science_article_pii_S1877050918308731 http://www.sciencedirect.com/science/article/pii/S1877050918308731
Khattak:2017:ICPRS Automatic classification of seismic signals of the chilean Llaima Volcano using cartesian genetic programming based artificial neural network
GKhattak.html
MuhammadSalmanKhan.html
GulMuhammadKhan.html
FernandoHuenupan.html
GloriaCurilemSaldias.html
http___dx.doi.org_10.1049_cp.2017.0165 http://dx.doi.org/10.1049/cp.2017.0165
conf/ifip12/KhayamNKM14 Features Extraction of Growth Trend in Social Websites Using Non-linear Genetic Programming
UmerKhayam.html
DurreNayab.html
GulMuhammadKhan.html
SahibzadaAliMahmud.html
http___dx.doi.org_10.1007_978-3-662-44654-6_41 http://dx.doi.org/10.1007/978-3-662-44654-6_41
khayyam:2020:NAEA Genetic Programming Approaches in Design and Optimization of Mechanical Engineering Applications
HamidKhayyam.html
AliJamali.html
HiradAssimi.html
RezaNJazar.html
http___link.springer.com_chapter_10.1007_978-3-030-18963-1_9 http://link.springer.com/chapter/10.1007/978-3-030-18963-1_9
http___dx.doi.org_10.1007_978-3-030-18963-1_9 http://dx.doi.org/10.1007/978-3-030-18963-1_9
Khemka:2008:gecco Evolutionary design of dynamic SwarmScapes
NamrataKhemka.html
ScottNovakowski.html
GeraldHushlak.html
ChristianJacob.html
http___gpbib.cs.ucl.ac.uk_gecco2008_docs_p827.pdf http://gpbib.cs.ucl.ac.uk/gecco2008/docs/p827.pdf
http___dx.doi.org_10.1145_1389095.1389257 http://dx.doi.org/10.1145/1389095.1389257
journals/vc/KhmagRAYK17 Denoising of natural images through robust wavelet thresholding and genetic programming
AsemKhmag.html
AbdRahmanBinRamli.html
SARAl-haddad.html
SuhaimiYusoff.html
NHKamarudin.html
http___dx.doi.org_10.1007_s00371-016-1273-5 http://dx.doi.org/10.1007/s00371-016-1273-5
Khodadi:2016:IPM Genetic programming-based feature learning for question answering
ImanKhodadi.html
MohammadSanieeAbadeh.html
http___dx.doi.org_10.1016_j.ipm.2015.09.001 http://dx.doi.org/10.1016/j.ipm.2015.09.001
http___www.sciencedirect.com_science_article_pii_S0306457315001193 http://www.sciencedirect.com/science/article/pii/S0306457315001193
Khopkar:1997:agp Solving the Art Gallery Problem via Genetic Programming
ChiragDKhopkar.html
Khorshidi:2023:CEC A Filter-Based Feature Selection and Ranking Approach to Enhance Genetic Programming for High-Dimensional Data Analysis
MohammadSadeghKhorshidi.html
DanialYazdani.html
JacekMandziuk.html
MohammadRezaNikoo.html
AHGandomi.html
https___squ.elsevierpure.com_en_publications_a-filter-based-feature-selection-and-ranking-approach-to-enhance- https://squ.elsevierpure.com/en/publications/a-filter-based-feature-selection-and-ranking-approach-to-enhance-
http___dx.doi.org_10.1109_CEC53210.2023.10254048 http://dx.doi.org/10.1109/CEC53210.2023.10254048
Khorsi:2007:Informatica An Overview of Content-Based Spam Filtering Techniques
AhmedKhorsi.html
http___www.informatica.si_PDF_31-3_12_Khorsi_20-_20An_20Overview_20of_20Content-Based_20Spam...pdf http://www.informatica.si/PDF/31-3/12_Khorsi%20-%20An%20Overview%20of%20Content-Based%20Spam...pdf
http___www.informatica.si_index.php_informatica_article_view_149 http://www.informatica.si/index.php/informatica/article/view/149
Khoshgoftaar:1998:CISE An application of Genetic Programming to Software Quality Prediction
TaghiMKhoshgoftaar.html
MatthewPEvett.html
EdwardBAllen.html
Pei-derChien.html
http___ebooks.worldscinet.com_ISBN_9789812816153_9789812816153_0007.html http://ebooks.worldscinet.com/ISBN/9789812816153/9789812816153_0007.html
http___dx.doi.org_10.1142_9789812816153_0007 http://dx.doi.org/10.1142/9789812816153_0007
Khoshgoftaar03 Genetic Programming-Based Decision Trees for Software Quality Classification
TaghiMKhoshgoftaar.html
YiLiu.html
JimSeliya.html
http___dx.doi.org_10.1109_TAI.2003.1250214 http://dx.doi.org/10.1109/TAI.2003.1250214
KhoshgoftaarLS04 Module-Order Modeling using an Evolutionary Multi-Objective Optimization Approach
TaghiMKhoshgoftaar.html
YiLiu.html
JimSeliya.html
http___dx.doi.org_10.1109_METRIC.2004.1357900 http://dx.doi.org/10.1109/METRIC.2004.1357900
KhoshgoftaarLS04b A Multiobjective Module-Order Model for Software Quality Enhancement
TaghiMKhoshgoftaar.html
YiLiu.html
JimSeliya.html
http___dx.doi.org_10.1109_TEVC.2004.837108 http://dx.doi.org/10.1109/TEVC.2004.837108
Khoshgoftaar:2007:ieeeTR A Multi-Objective Software Quality Classification Model Using Genetic Programming
TaghiMKhoshgoftaar.html
YiLiu.html
http___dx.doi.org_10.1109_TR.2007.896763 http://dx.doi.org/10.1109/TR.2007.896763
KHOSHGOFTARMANESH:2022:Energy Techno-economic, environmental and emergy analysis and optimization of integrated solar parabolic trough collector and multi effect distillation systems with a combined cycle power plant
MohammadHasanKhoshgoftarManesh.html
MeysamHajizadehAghdam.html
HosseinVaziniModabber.html
AmirGhasemi.html
MahdiKhajehTalkhoncheh.html
http___dx.doi.org_10.1016_j.energy.2021.122499 http://dx.doi.org/10.1016/j.energy.2021.122499
https___www.sciencedirect.com_science_article_pii_S0360544221027481 https://www.sciencedirect.com/science/article/pii/S0360544221027481
khosraviani:2003:ODOGP Organization Design Optimization using Genetic Programming
BijanKHosraviani.html
http___www.genetic-programming.org_sp2003_KHosraviani.pdf http://www.genetic-programming.org/sp2003/KHosraviani.pdf
khosraviani:2004:lbp Organization Design Optimization Using Genetic Programming
BijanKHosraviani.html
RaymondElliotLevitt.html
JohnKoza.html
http___gpbib.cs.ucl.ac.uk_gecco2004_LBP056.pdf http://gpbib.cs.ucl.ac.uk/gecco2004/LBP056.pdf
KHosraviani_2005 An Evolutionary Approach for Project Organization Design: Producing Human-Competitive Results using Genetic Programming
BijanKHosraviani.html
https___gpc.stanford.edu_publications_evolutionary-approach-project-organization-design-producing-human-competitive-results https://gpc.stanford.edu/publications/evolutionary-approach-project-organization-design-producing-human-competitive-results
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khoury:2006:UKCI Finding Semi-Quantitative Physical Models Using Genetic Programming
MehdiKhoury.html
FrankGuerin.html
GeorgeMCoghill.html
http___www.csd.abdn.ac.uk__mkhoury_fuzzy_20evolution2.pdf http://www.csd.abdn.ac.uk/~mkhoury/fuzzy%20evolution2.pdf
1274050 Learning dynamic models of compartment systems by combining symbolic regression with fuzzy vector envisionment
MehdiKhoury.html
FrankGuerin.html
GeorgeMCoghill.html
http___gpbib.cs.ucl.ac.uk_gecco2007_docs_p2769.pdf http://gpbib.cs.ucl.ac.uk/gecco2007/docs/p2769.pdf
http___dx.doi.org_10.1145_1274000.1274050 http://dx.doi.org/10.1145/1274000.1274050
conf/icira/KhouryL09 Classifying 3D Human Motions by Mixing Fuzzy Gaussian Inference with Genetic Programming
MehdiKhoury.html
HonghaiLiu.html
http___dx.doi.org_10.1007_978-3-642-10817-4_6 http://dx.doi.org/10.1007/978-3-642-10817-4_6
Khoury:2010:ieee-fuzz Extending evolutionary Fuzzy Quantile Inference to classify partially occluded human motions
MehdiKhoury.html
HonghaiLiu.html
http___dx.doi.org_10.1109_FUZZY.2010.5584623 http://dx.doi.org/10.1109/FUZZY.2010.5584623
mehdi_khoury_thesis_2010 A fuzzy probabilistic inference methodology for constrained 3D human motion classification
MehdiKhoury.html
http___eprints.port.ac.uk_1668_1_mehdi_khoury_thesis_2010.pdf http://eprints.port.ac.uk/1668/1/mehdi_khoury_thesis_2010.pdf
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khu:2001:JASRA Genetic Programming and Its Application in Real-Time Runoff Forecasting
Soon-ThiamKhu.html
Shie-YuiLiong.html
VladanBabovic.html
HenrikMadsen.html
NitinMuttil.html
http___dx.doi.org_10.1111_j.1752-1688.2001.tb00980.x http://dx.doi.org/10.1111/j.1752-1688.2001.tb00980.x
KIADEHI:2020:JTICE Hydrogen production using ethylene glycol steam reforming in a micro-reformer: Experimental analysis, multivariate polynomial regression and genetic programming modeling approaches
AfshinDehghaniKiadehi.html
MajidTaghizadeh.html
MohammadJavadAzarhoosh.html
AbbasAghaeinejad-Meybodi.html
http___www.sciencedirect.com_science_article_pii_S1876107020301784 http://www.sciencedirect.com/science/article/pii/S1876107020301784
http___dx.doi.org_10.1016_j.jtice.2020.07.012 http://dx.doi.org/10.1016/j.jtice.2020.07.012
Thesis_KIALA Remote sensing of invasive plant species: Optimization of Sentinel-2 and Landsat 8 imagery for enhanced mapping of the invasive Parthenium hysterophorus in South Africa
ZoloZimeZinuSergeKiala.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_Thesis_KIALA.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/Thesis_KIALA.pdf
Kiala:2020:IJRS Automated classification of a tropical landscape infested by Parthenium weed (Parthenium hyterophorus)
ZoloZimeZinuSergeKiala.html
OnisimoMutanga.html
JohnOdindi.html
KabirYunusPeerbhay.html
RobSlotow.html
https___doi.org_10.1080_01431161.2020.1779375 https://doi.org/10.1080/01431161.2020.1779375
http___dx.doi.org_10.1080_01431161.2020.1779375 http://dx.doi.org/10.1080/01431161.2020.1779375
Kiani:2016:jmce New Formulation of Compressive Strength of Preformed-Foam Cellular Concrete: An Evolutionary Approach
BehnamKiani.html
AHGandomi.html
SiavashSajedi.html
RobertYLiang.html
http___dx.doi.org_10.1061__ASCE_MT.1943-5533.0001602 http://dx.doi.org/10.1061/(ASCE)MT.1943-5533.0001602
Kiani-B:2006:CEC Automatic Text Summarization Using: Hybrid Fuzzy GA-GP
ArmanKiani-B.html
Mohammad-RAkbarzadeh-Totonchi.html
http___dx.doi.org_10.1109_FUZZY.2006.1681829 http://dx.doi.org/10.1109/FUZZY.2006.1681829
eurogp06:KibriaLi Optimizing the Initialization of Dynamic Decision Heuristics in DPLL SAT Solvers Using Genetic Programming
RaihanHKibria.html
LiYou.html
http___dx.doi.org_10.1007_11729976_30 http://dx.doi.org/10.1007/11729976_30
rkibria-dissertation-final-korrigiert1 Soft Computing Approaches to DPLL SAT Solver Optimization
RaihanHKibria.html
http___tuprints.ulb.tu-darmstadt.de_2759_ http://tuprints.ulb.tu-darmstadt.de/2759/
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kidon:2017:CEC Evolutionary design of hash functions for IP address hashing using genetic programming
MarekKidon.html
RolandDobai.html
http___dx.doi.org_10.1109_CEC.2017.7969509 http://dx.doi.org/10.1109/CEC.2017.7969509
https___www.fit.vut.cz_research_publication_11322 https://www.fit.vut.cz/research/publication/11322
Kieffer:ieeeTEC Tackling Large-Scale and Combinatorial Bi-level Problems with a Genetic Programming Hyper-heuristic
EmmanuelKieffer.html
GregoireDanoy.html
MatthiasRBrust.html
PascalBouvry.html
AnassNagih.html
http___hdl.handle.net_10993_39737 http://hdl.handle.net/10993/39737
http___dx.doi.org_10.1109_TEVC.2019.2906581 http://dx.doi.org/10.1109/TEVC.2019.2906581
Kifetew:2013:ASE SBFR: A search based approach for reproducing failures of programs with grammar based input
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PaoloTonella.html
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Kifetew:2014:ICST Reproducing Field Failures for Programs with Complex Grammar-Based Input
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WeiJin.html
RobertoTiella.html
AlessandroOrso.html
PaoloTonella.html
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Kifetew:2014:SSBSE Combining Stochastic Grammars and Genetic Programming for Coverage Testing at the System Level
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RobertoTiella.html
PaoloTonella.html
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Kifetew:2017:SSBSE Grammar Based Genetic Programming for Software Configuration Problem
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DenisseYessicaMunanteArzapalo.html
JesusGorronogoitia.html
AlbertoSiena.html
AngeloSusi.html
AnnaPerini.html
http___dx.doi.org_10.1007_978-3-319-66299-2_10 http://dx.doi.org/10.1007/978-3-319-66299-2_10
journals/ese/KifetewTT17 Generating valid grammar-based test inputs by means of genetic programming and annotated grammars
FitsumMesheshaKifetew.html
RobertoTiella.html
PaoloTonella.html
http___dx.doi.org_10.1007_s10664-015-9422-4 http://dx.doi.org/10.1007/s10664-015-9422-4
kiguchi:2001:SC Generation of an optimal architecture of neuro force controllers for robot manipulators in unknown environments using genetic programming with fuzzy fitness evaluation
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HMiyaji.html
KWatanabe.html
KiyotakaIzumi.html
ToshioFukuda.html
http___dx.doi.org_10.1007_s005000100087 http://dx.doi.org/10.1007/s005000100087
Kiguchi:2012:WAC Estimation of Joint Torque for a Myoelectric Arm by Genetic Programming Based on EMG Signals
KazuoKiguchi.html
YoshiakiHayashi.html
http___ieeexplore.ieee.org_xpl_articleDetails.jsp_tp__arnumber_6321048 http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6321048
Kikuchi_sab98 Evolutionary Design of Morphology and Intelligence in Robotic System Using Genetic Programming
KokiKikuchi.html
FumioHara.html
http___ieeexplore.ieee.org_xpl_articleDetails.jsp_arnumber_6278696 http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6278696
DBLP:conf/ifip/KilburnGS59 Experiments in machine learning and thinking
TomKilburn.html
RichardLGrimsdale.html
FrankHSumner.html
https___dblp.org_rec_conf_ifip_KilburnGS59.bib https://dblp.org/rec/conf/ifip/KilburnGS59.bib
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_DBLP_conf_ifip_KilburnGS59.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/DBLP_conf_ifip_KilburnGS59.pdf
Kilyen:2014:ieeeICAQTR Synthesis of train traffic control system with evolutionary computing
OrsKilyen.html
MihaiHulea.html
TiberiuSLetia.html
http___dx.doi.org_10.1109_AQTR.2014.6857825 http://dx.doi.org/10.1109/AQTR.2014.6857825
Kilyen:2018:FedCSIS Interactive Development of Cyber Physical Systems Using UETPN Model
AttilaOKilyen.html
TiberiuSLetia.html
http___ieeexplore.ieee.org_xpl_articleDetails.jsp_tp__arnumber_8511211 http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=8511211
http___dx.doi.org_10.15439_2018F49 http://dx.doi.org/10.15439/2018F49
Kilyen:2018:AQTR Hybrid robot controller synthesis with GP and UETPN
AttilaOKilyen.html
TiberiuSLetia.html
http___dx.doi.org_10.1109_AQTR.2018.8402728 http://dx.doi.org/10.1109/AQTR.2018.8402728
cec:2001 Proceedings of the 2001 Congress on Evolutionary Computation CEC2001
http___dx.doi.org_10.1109_CEC.2001.934259 http://dx.doi.org/10.1109/CEC.2001.934259
Kim:2007:EM Predictive function and rules for population dynamics of Microcystis aeruginosa in the regulated Nakdong River (South Korea), discovered by evolutionary algorithms
Dong-KyunKim.html
Hong-QingCao.html
Kwang-SeukJeong.html
FriedrichRecknagel.html
Gea-JaeJoo.html
http___dx.doi.org_10.1016_j.ecolmodel.2006.03.040 http://dx.doi.org/10.1016/j.ecolmodel.2006.03.040
Kim:2007:FWB Winter diatom blooms in a regulated river in South Korea: explanations based on evolutionary computation
Dong-KyunKim.html
Kwang-SeukJeong.html
PeterAlexanderWhigham.html
Gea-JaeJoo.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.717.6431 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.717.6431
http___dx.doi.org_10.1111_j.1365-2427.2007.01804.x http://dx.doi.org/10.1111/j.1365-2427.2007.01804.x
Kim:2010:cec Ecological application of evolutionary computation: Improving water quality forecasts for the Nakdong River, Korea
Dong-KyunKim.html
RI_Bob_McKay.html
HaisooShin.html
Yun-GeunLee.html
NguyenXuanHoai.html
http___dx.doi.org_10.1109_CEC.2010.5586060 http://dx.doi.org/10.1109/CEC.2010.5586060
Kim:2010:JEFB Model development in freshwater ecology with a case study using evolutionary computation
Dong-KyunKim.html
Kwang-SeukJeong.html
RI_Bob_McKay.html
Tae-SooChon.html
Hyun-WooKim.html
Gea-JaeJoo.html
http___dx.doi.org_10.5141_JEFB.2010.33.4.275 http://dx.doi.org/10.5141/JEFB.2010.33.4.275
Kim:2013:ICSE Automatic Patch Generation Learned from Human-Written Patches
DongsunKim.html
JaechangNam.html
JaewooSong.html
SunghunKim.html
http___dx.doi.org_10.1109_ICSE.2013.6606626 http://dx.doi.org/10.1109/ICSE.2013.6606626
Kim:2008:ICNC A Comparison of Optimization Methods for the Transparent Conducting Oxide Application of Ga-doped ZnO
Hyun-SooKim.html
Sang-GyuLee.html
Seung-SooHan.html
HyeonBae.html
Tae-RyongJeon.html
SungshinKim.html
http___dx.doi.org_10.1109_ICNC.2008.806 http://dx.doi.org/10.1109/ICNC.2008.806
Kim:2017:SSBSE GPGPGPU: Evaluation of Parallelisation of Genetic Programming using GPGPU
JinhanKim.html
JunhwiKim.html
ShinYoo.html
http___dx.doi.org_10.1007_978-3-319-66299-2_11 http://dx.doi.org/10.1007/978-3-319-66299-2_11
Kim:2018:SSBSE Learning Without Peeking: Secure Multi-Party Computation Genetic Programming
JinhanKim.html
MichaelGEpitropakis.html
ShinYoo.html
http___dx.doi.org_10.1007_978-3-319-99241-9_13 http://dx.doi.org/10.1007/978-3-319-99241-9_13
Kim:2019:GPEM Software review: DEAP (Distributed Evolutionary Algorithm in Python) library
JinhanKim.html
ShinYoo.html
http___dx.doi.org_10.1007_s10710-018-9341-4 http://dx.doi.org/10.1007/s10710-018-9341-4
Kim:2021:mathAI Distilling Wikipedia Mathematical Knowledge into Neural Network Models
JoanneTaeryKim.html
MikelLandajuela.html
BrendenKylePetersen.html
https___mathai-iclr.github.io_papers_papers_MATHAI_15_paper.pdf https://mathai-iclr.github.io/papers/papers/MATHAI_15_paper.pdf
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https___arxiv.org_abs_2104.05930 https://arxiv.org/abs/2104.05930
https___www.osti.gov_servlets_purl_1782518 https://www.osti.gov/servlets/purl/1782518
DBLP:conf/ideal/KimLC04 User Adaptive Answers Generation for Conversational Agent Using Genetic Programming
Kyoung-MinKim.html
Sung-SooLim.html
SungBaeCho.html
http___dx.doi.org_10.1007_b99975 http://dx.doi.org/10.1007/b99975
Kim:2006:Neurocomputing Evolved neural networks based on cellular automata for sensory-motor controller
Kyung-JoongKim.html
SungBaeCho.html
http___dx.doi.org_10.1016_j.neucom.2005.07.013 http://dx.doi.org/10.1016/j.neucom.2005.07.013
Kim:2009:GPEM Automated synthesis of resilient and tamper-evident analog circuits without a single point of failure
Kyung-JoongKim.html
AdrianWong.html
HodLipson.html
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http___dx.doi.org_10.1007_s10710-009-9085-2 http://dx.doi.org/10.1007/s10710-009-9085-2
psKim:1997:nim Evolution of a State-Evaluation Function for the Game of Nim via Genetic Programming
PeterSKim.html
kim:1999:ESSGPTSP Effects of Selection Schemes in Genetic Programming for Time Series Prediction
Jung-JibKim.html
Byoung-TakZhang.html
http___bi.snu.ac.kr_Publications_Conferences_International_CEC99_Kim.pdf http://bi.snu.ac.kr/Publications/Conferences/International/CEC99_Kim.pdf
http___dx.doi.org_10.1109_CEC.1999.781933 http://dx.doi.org/10.1109/CEC.1999.781933
kim:2004:eurogp Structural Risk Minimization on Decision Trees Using An Evolutionary Multiobjective Optimization
DaeEunKim.html
http___dx.doi.org_10.1007_978-3-540-24650-3_32 http://dx.doi.org/10.1007/978-3-540-24650-3_32
Kim:PPSN:2004 Analyzing Sensor States and Internal States in the Tartarus Problem with Tree State Machines
DaeEunKim.html
https___rdcu.be_dc0kn https://rdcu.be/dc0kn
http___dx.doi.org_10.1007_b100601 http://dx.doi.org/10.1007/b100601
http___dx.doi.org_10.1007_978-3-540-30217-9_56 http://dx.doi.org/10.1007/978-3-540-30217-9_56
1144025 Memory analysis and significance test for agent behaviours
DaeEunKim.html
http___gpbib.cs.ucl.ac.uk_gecco2006_docs_p151.pdf http://gpbib.cs.ucl.ac.uk/gecco2006/docs/p151.pdf
http___dx.doi.org_10.1145_1143997.1144025 http://dx.doi.org/10.1145/1143997.1144025
Kim:2008:FER A Quantitative Analysis of Memory Usage for Agent Tasks
DaeEunKim.html
http___www.intechopen.com_articles_show_title_a_quantitative_analysis_of_memory_usage_for_agent_tasks http://www.intechopen.com/articles/show/title/a_quantitative_analysis_of_memory_usage_for_agent_tasks
https___cdn.intechopen.com_pdfs_856.pdf https://cdn.intechopen.com/pdfs/856.pdf
https___doi.org_10.5772_5458 https://doi.org/10.5772/5458
http___dx.doi.org_10.5772_5458 http://dx.doi.org/10.5772/5458
journals/biodatamining/KimLDR13 ATHENA: Identifying interactions between different levels of genomic data associated with cancer clinical outcomes using grammatical evolution neural network
DokyoonKim.html
RuowangLi.html
ScottMDudek.html
MarylynDRitchie.html
http___dx.doi.org_10.1186_1756-0381-6-23 http://dx.doi.org/10.1186/1756-0381-6-23
Kim:2014:bdm Knowledge-driven genomic interactions: an application in ovarian cancer
DokyoonKim.html
RuowangLi.html
ScottMDudek.html
AlexTFrase.html
SarahAPendergrass.html
MarylynDRitchie.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.463.5223 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.463.5223
http___www.biodatamining.org_content_pdf_1756-0381-7-20.pdf http://www.biodatamining.org/content/pdf/1756-0381-7-20.pdf
http___dx.doi.org_10.1186_1756-0381-7-20 http://dx.doi.org/10.1186/1756-0381-7-20
Kim:IEEEgames Testing a Protocol for Characterizing Game Playing Agents Trained via Evolution on a New Game
Eun-YounKim.html
DanielAshlock.html
http___dx.doi.org_10.1109_TG.2019.2910642 http://dx.doi.org/10.1109/TG.2019.2910642
journals/ieicet/KimKA16a A Conditional Dependency Based Probabilistic Model Building Grammatical Evolution
Hyun-TaeKim.html
Hyun-KyuKang.html
ChangWookAhn.html
http___search.ieice.org_bin_summary.php_id_e99-d_7_1937 http://search.ieice.org/bin/summary.php?id=e99-d_7_1937
http___dx.doi.org_10.1587_transinf.2016EDL8004 http://dx.doi.org/10.1587/transinf.2016EDL8004
journals/ieicet/KimYL12 An Approach to Extract Informative Rules for Web Page Recommendation by Genetic Programming
JaekwangKim.html
KwangHoYoon.html
Jee-HyongLee.html
http___search.ieice.org_bin_summary.php_id_e95-b_5_1558 http://search.ieice.org/bin/summary.php?id=e95-b_5_1558
http___dx.doi.org_10.1587_transcom.E95.B.1558 http://dx.doi.org/10.1587/transcom.E95.B.1558
KIM:2019:IS A novel recommendation approach based on chronological cohesive units in content consuming logs
JaekwangKim.html
Jee-HyongLee.html
http___dx.doi.org_10.1016_j.ins.2018.08.046 http://dx.doi.org/10.1016/j.ins.2018.08.046
http___www.sciencedirect.com_science_article_pii_S0020025516308258 http://www.sciencedirect.com/science/article/pii/S0020025516308258
Jinhwa_Kim:thesis Simulated Learning and Genetic Programming with Application to Undecidable Problems
JinhwaKim.html
https___books.google.co.uk_books_id_ITWcAAAAMAAJ https://books.google.co.uk/books?id=ITWcAAAAMAAJ
http___search.proquest.com_docview_251815652 http://search.proquest.com/docview/251815652
Kim:2023:ICST Automating Endurance Test for Flash-based Storage Devices in Samsung Electronics
JinkookKim.html
MinseokJeon.html
SejeongJang.html
HakjooOh.html
http___dx.doi.org_10.1109_ICST57152.2023.00037 http://dx.doi.org/10.1109/ICST57152.2023.00037
Kim:2019:CEC Evolutionary Optimization of Hyperparameters in Deep Learning Models
Jin-YoungKim.html
SungBaeCho.html
http___dx.doi.org_10.1109_CEC.2019.8790354 http://dx.doi.org/10.1109/CEC.2019.8790354
conf/pricai/KimMP10 Sampling Bias in Estimation of Distribution Algorithms for Genetic Programming Using Prototype Trees
KangilKim.html
RI_Bob_McKay.html
DharaniPunithan.html
http___dx.doi.org_10.1007_978-3-642-15246-7 http://dx.doi.org/10.1007/978-3-642-15246-7
http___dx.doi.org_10.1007_978-3-642-15246-7_12 http://dx.doi.org/10.1007/978-3-642-15246-7_12
Kim:2011:GECCO Structural difficulty in estimation of distribution genetic programming
KangilKim.html
MinHyeokKim.html
RI_Bob_McKay.html
http___dx.doi.org_10.1145_2001576.2001772 http://dx.doi.org/10.1145/2001576.2001772
Kim:2012:ieeeTEC Stochastic Diversity Loss and Scalability in Estimation of Distribution Genetic Programming
KangilKim.html
RI_Bob_McKay.html
http___dx.doi.org_10.1109_TEVC.2012.2196521 http://dx.doi.org/10.1109/TEVC.2012.2196521
Kim:2012:CEC Implicit Bias in Grammar-based Estimation of Distribution Genetic Programming: The Effects of Recursive Structure
KangilKim.html
RI_Bob_McKay.html
NguyenXuanHoai.html
http___dx.doi.org_10.1109_CEC.2012.6256565 http://dx.doi.org/10.1109/CEC.2012.6256565
Kim:2013:PCS Bias Reduction of Probabilistic Prototype Tree based Estimation of Distribution Genetic Programming in Predicting Arthritis Prevalence
KangilKim.html
HanggjunCho.html
http___www.sciencedirect.com_science_article_pii_S1877050913011769 http://www.sciencedirect.com/science/article/pii/S1877050913011769
http___dx.doi.org_10.1016_j.procs.2013.10.034 http://dx.doi.org/10.1016/j.procs.2013.10.034
KangilKim:2014:GPEM Probabilistic model building in genetic programming: a critical review
KangilKim.html
YinShan.html
NguyenXuanHoai.html
RI_Bob_McKay.html
http___dx.doi.org_10.1007_s10710-013-9205-x http://dx.doi.org/10.1007/s10710-013-9205-x
Kim:2015:ieeeTEC Recursion-Based Biases in Stochastic Grammar Model Genetic Programming
KangilKim.html
RI_Bob_McKay.html
NguyenXuanHoai.html
http___dx.doi.org_10.1109_TEVC.2015.2425420 http://dx.doi.org/10.1109/TEVC.2015.2425420
Kim:2011:EuroGP Operator Self-Adaptation in Genetic Programming
MinHyeokKim.html
RI_Bob_McKay.html
NguyenXuanHoai.html
KangilKim.html
http___dx.doi.org_10.1007_978-3-642-20407-4_19 http://dx.doi.org/10.1007/978-3-642-20407-4_19
kim:2012:EuroGP Evolutionary Operator Self-Adaptation with Diverse Operators
MinHyeokKim.html
RI_Bob_McKay.html
Dong-KyunKim.html
NguyenXuanHoai.html
http___dx.doi.org_10.1007_978-3-642-29139-5_20 http://dx.doi.org/10.1007/978-3-642-29139-5_20
conf/ppsn/KimMKN12 Analysing the Effects of Diverse Operators in a Genetic Programming System
MinHyeokKim.html
RI_Bob_McKay.html
KangilKim.html
NguyenXuanHoai.html
http___dx.doi.org_10.1007_978-3-642-32937-1_39 http://dx.doi.org/10.1007/978-3-642-32937-1_39
Kim:2008:GPTP Constrained Genetic Programming to Minimize Overfitting in Stock Selection
MinkyuKim.html
YingLBecker.html
PengFei.html
Una-MayO'Reilly.html
http___dx.doi.org_10.1007_978-0-387-87623-8_12 http://dx.doi.org/10.1007/978-0-387-87623-8_12
Kim:2009:DS1 A control methodology for the feed water temperature to optimize SWRO desalination process using genetic programming
SeungJoonKim.html
SanghounOh.html
YoungGeunLee.html
MoonguJeon.html
InSKim.html
JoonHaKim.html
http___www.sciencedirect.com_science_article_B6TFX-4X502WT-P_2_35e0f68a8e3e5dcddf34a87ddbc4703a http://www.sciencedirect.com/science/article/B6TFX-4X502WT-P/2/35e0f68a8e3e5dcddf34a87ddbc4703a
http___dx.doi.org_10.1016_j.desal.2008.12.024 http://dx.doi.org/10.1016/j.desal.2008.12.024
Kim:2009:DS2 Energy saving methodology for the SWRO desalination process: control of operating temperature and pressure
SeungJoonKim.html
YoungGeunLee.html
SanghounOh.html
YunSeokLee.html
YoungMiKim.html
MoonguJeon.html
SanghoLee.html
InSKim.html
JoonHaKim.html
http___dx.doi.org_10.1016_j.desal.2008.12.006 http://dx.doi.org/10.1016/j.desal.2008.12.006
http___www.sciencedirect.com_science_article_B6TFX-4X502WT-Y_2_733f20864f4a10d23d73aef497596e27 http://www.sciencedirect.com/science/article/B6TFX-4X502WT-Y/2/733f20864f4a10d23d73aef497596e27
Kim20121108 Estimating the non-linear dynamics of free-flying objects
SeungsuKim.html
AudeBillard.html
http___dx.doi.org_10.1016_j.robot.2012.05.022 http://dx.doi.org/10.1016/j.robot.2012.05.022
http___www.sciencedirect.com_science_article_pii_S092188901200084X http://www.sciencedirect.com/science/article/pii/S092188901200084X
Kim:2019:PLR Precise Learn-to-Rank Fault Localization Using Dynamic and Static Features of Target Programs
YunhoKim.html
SeokhyeonMun.html
ShinYoo.html
MoonzooKim.html
http___dx.doi.org_10.1145_3345628 http://dx.doi.org/10.1145/3345628
https___dl.acm.org_ft_gateway.cfm_id_3345628 https://dl.acm.org/ft_gateway.cfm?id=3345628
http___portal.acm.org_browse_dl.cfm_idx_J790 http://portal.acm.org/browse_dl.cfm?idx=J790
http___dx.doi.org_https___doi.org_10.1145_3345628 http://dx.doi.org/https://doi.org/10.1145/3345628
Kim2014-ID904 Rapid and reactive robot control framework for catching objects in flight
SeungsuKim.html
https___www.youtube.com_watch_v_24TCUZISIdU https://www.youtube.com/watch?v=24TCUZISIdU
https___infoscience.epfl.ch_record_196452 https://infoscience.epfl.ch/record/196452
http___lasa.epfl.ch_publications_uploadedFiles_EPFL_TH6094.pdf http://lasa.epfl.ch/publications/uploadedFiles/EPFL_TH6094.pdf
http___dx.doi.org_10.5075_epfl-thesis-6094 http://dx.doi.org/10.5075/epfl-thesis-6094
Kinane:2006:ISCAS Towards an optimised VLSI design algorithm for the constant matrix multiplication problem
AndrewKinane.html
ValentinMuresan.html
NoelEO'Connor.html
http___dx.doi.org_10.1109_ISCAS.2006.1693782 http://dx.doi.org/10.1109/ISCAS.2006.1693782
Andrew_Kinane Energy efficient hardware acceleration of multimedia processing tools
AndrewKinane.html
http___doras.dcu.ie_17985_ http://doras.dcu.ie/17985/
http___doras.dcu.ie_17985_1_Andrew_Kinane.pdf http://doras.dcu.ie/17985/1/Andrew_Kinane.pdf
http___www.eeng.dcu.ie__kinanea_thesis_abstract.txt http://www.eeng.dcu.ie/~kinanea/thesis/abstract.txt
http___www.eeng.dcu.ie__kinanea_thesis_kinane_final.pdf http://www.eeng.dcu.ie/~kinanea/thesis/kinane_final.pdf
King:2008:INLG OSU-GP: Attribute Selection using Genetic Programming
JoshKing.html
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ieee94:kinnear Fitness Landscapes and Difficulty in Genetic Programming
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icnn93:kinnear Evolving a Sort: Lessons in Genetic Programming
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kinnear:intro A perspective on the Work in this Book
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kinnear:book Advances in Genetic Programming
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kinnear:1997:HEC Genetic Programming
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http___dx.doi.org_10.1201_9781420050387.ptb http://dx.doi.org/10.1201/9781420050387.ptb
kinnear:2000:EC1 Derivative methods in genetic programming
KennethEKinnearJr.html
http___www.crcpress.com_product_isbn_9780750306645 http://www.crcpress.com/product/isbn/9780750306645
Kinneer:2018:SEAMS Managing Uncertainty in Self-Adaptive Systems with Plan Reuse and Stochastic Search
CodyKinneer.html
ZackCoker.html
JiachengWang.html
DavidGarlan.html
ClaireLeGoues.html
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Kinneer:2020:ACSOS Building Reusable Repertoires for Stochastic Self-* Planners
CodyKinneer.html
RijnardvanTonder.html
DavidGarlan.html
ClaireLeGoues.html
http___dx.doi.org_10.1109_ACSOS49614.2020.00045 http://dx.doi.org/10.1109/ACSOS49614.2020.00045
Kinneer2021 Search-based Plan Reuse in Self-* Systems
CodyKinneer.html
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Kino:2020:SICE Proposal of Surrogate Model for Genetic Programming Based on Program Structure Similarity
SoheiKino.html
TomohiroHarada.html
RuckThawonmas.html
http___dx.doi.org_10.23919_SICE48898.2020.9240324 http://dx.doi.org/10.23919/SICE48898.2020.9240324
DBLP:conf/seal/KinzettZJ08 Using Numerical Simplification to Control Bloat in Genetic Programming
DavidKinzett.html
MengjieZhang.html
MarkJohnston.html
http___dx.doi.org_10.1007_978-3-540-89694-4_50 http://dx.doi.org/10.1007/978-3-540-89694-4_50
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DavidKinzett.html
MarkJohnston.html
MengjieZhang.html
http___dx.doi.org_10.1145_1569901.1570035 http://dx.doi.org/10.1145/1569901.1570035
Kinzett:2009:EI Numerical simplification for bloat control and analysis of building blocks in genetic programming
DavidKinzett.html
MarkJohnston.html
MengjieZhang.html
https___ecs.wgtn.ac.nz_foswiki_pub_Main_TechnicalReportSeries_ECSTR09-08.pdf https://ecs.wgtn.ac.nz/foswiki/pub/Main/TechnicalReportSeries/ECSTR09-08.pdf
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Kinzett:2010:EuroGP Analysis of Building Blocks with Numerical Simplification in Genetic Programming
DavidKinzett.html
MengjieZhang.html
MarkJohnston.html
http___dx.doi.org_10.1007_978-3-642-12148-7_25 http://dx.doi.org/10.1007/978-3-642-12148-7_25
Kinzett:2010:cec Investigation of simplification threshold and noise level of input data in numerical simplification of genetic programs
DavidKinzett.html
MengjieZhang.html
MarkJohnston.html
http___dx.doi.org_10.1109_CEC.2010.5586181 http://dx.doi.org/10.1109/CEC.2010.5586181
Kirbas:IEEEsoftware On the Introduction of Automatic Program Repair in Bloomberg
SerkanKirbas.html
EtienneWindels.html
OlayoriMcBello.html
KevinKells.html
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RafalSzalanski.html
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TracyHall.html
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http___dx.doi.org_10.1109_MS.2021.3071086 http://dx.doi.org/10.1109/MS.2021.3071086
Hintze:2019:GPTP The Evolution of Representations in Genetic Programming Trees
DouglasKirkpatrick.html
ArendHintze.html
http___dx.doi.org_10.1007_978-3-030-39958-0_7 http://dx.doi.org/10.1007/978-3-030-39958-0_7
kirkam:1997:dsftrr Discovering Simple Fault-Tolerant Routing Rules using Genetic Programming
IMAKirkwood.html
SajjadHaiderShami.html
MarkCSinclair.html
http___uk.geocities.com_markcsinclair_ps_icannga97_kir.ps.gz http://uk.geocities.com/markcsinclair/ps/icannga97_kir.ps.gz
http___dx.doi.org_10.1007_978-3-7091-6492-1_62 http://dx.doi.org/10.1007/978-3-7091-6492-1_62
HPL-2000-106 Genetic Programming with Statically Scoped Local Variables
EvanKirshenbaum.html
http___www.hpl.hp.com_techreports_2000_HPL-2000-106.pdf http://www.hpl.hp.com/techreports/2000/HPL-2000-106.pdf
http___www.hpl.hp.com_techreports_2000_HPL-2000-106.html http://www.hpl.hp.com/techreports/2000/HPL-2000-106.html
Kirshenbaum:2000:GECCO Genetic Programming with Statically Scoped Local Variables
EvanKirshenbaum.html
http___gpbib.cs.ucl.ac.uk_gecco2000_GP148.pdf http://gpbib.cs.ucl.ac.uk/gecco2000/GP148.pdf
HPL-2001-327 Iteration Over Vectors in Genetic Programming
EvanKirshenbaum.html
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http___www.hpl.hp.com_techreports_2001_HPL-2001-327.html http://www.hpl.hp.com/techreports/2001/HPL-2001-327.html
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HPL-2002-20 Modeling Disk Arrays Using Genetic Programming
EvanKirshenbaum.html
http___www.kirshenbaum.net_evan_publications_HPL-2002-20.pdf http://www.kirshenbaum.net/evan/publications/HPL-2002-20.pdf
kirshenbaum:ugp:gecco2004 Using Genetic Programming to Obtain a Closed-Form Approximation to a Recursive Function
EvanKirshenbaum.html
HenriJSuermondt.html
http___dx.doi.org_10.1007_b98645 http://dx.doi.org/10.1007/b98645
Kishor:2007:cec Genetic Programming Approach for Model Structure Determination of Hydro Turbine in Closed Loop Operation
NandKishor.html
MadhusudanSingh.html
ASRaghuvanshi.html
http___dx.doi.org_10.1109_CEC.2007.4424819 http://dx.doi.org/10.1109/CEC.2007.4424819
kishore:2000:mpc Application of genetic programming for multicategory pattern classification
JKKishore.html
LMPatnaik.html
VMani.html
VKAgrawal.html
http___dx.doi.org_10.1109_4235.873235 http://dx.doi.org/10.1109/4235.873235
Kishore:2001:ISJ Genetic programming based pattern classification with feature space partitioning
JKKishore.html
LMPatnaik.html
VMani.html
VKAgrawal.html
http___www.sciencedirect.com_science_article_B6V0C-42MFDYH-4_2_de6209d53f2e0ec0addf0e2cfa62fd91 http://www.sciencedirect.com/science/article/B6V0C-42MFDYH-4/2/de6209d53f2e0ec0addf0e2cfa62fd91
http___dx.doi.org_10.1016_S0020-0255_00_00081-5 http://dx.doi.org/10.1016/S0020-0255(00)00081-5
Kisi2010939 A machine code-based genetic programming for suspended sediment concentration estimation
OzgurKisi.html
AytacGuven.html
http___dx.doi.org_10.1016_j.advengsoft.2010.06.001 http://dx.doi.org/10.1016/j.advengsoft.2010.06.001
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Kisi:2010:JIDE Evapotranspiration Modeling Using Linear Genetic Programming Technique
OzgurKisi.html
AytacGuven.html
http___dx.doi.org_10.1061__ASCE_IR.1943-4774.0000244 http://dx.doi.org/10.1061/(ASCE)IR.1943-4774.0000244
Kisi:2011:WRM Precipitation Forecasting Using Wavelet-Genetic Programming and Wavelet-Neuro-Fuzzy Conjunction Models
OzgurKisi.html
JalalShiri.html
http___dx.doi.org_10.1007_s11269-011-9849-3 http://dx.doi.org/10.1007/s11269-011-9849-3
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OzgurKisi.html
JalalShiri.html
BagherNikoofar.html
http___dx.doi.org_10.1016_j.cageo.2011.08.027 http://dx.doi.org/10.1016/j.cageo.2011.08.027
http___www.sciencedirect.com_science_article_pii_S0098300411002950 http://www.sciencedirect.com/science/article/pii/S0098300411002950
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OzgurKisi.html
MEminEmiroglu.html
OmerBilhan.html
AytacGuven.html
http___dx.doi.org_10.1016_j.eswa.2011.09.035 http://dx.doi.org/10.1016/j.eswa.2011.09.035
http___www.sciencedirect.com_science_article_pii_S0957417411013443 http://www.sciencedirect.com/science/article/pii/S0957417411013443
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OzgurKisi.html
AliHosseinzadehDailr.html
MesutCimen.html
JalalShiri.html
http___dx.doi.org_10.1016_j.jhydrol.2012.05.031 http://dx.doi.org/10.1016/j.jhydrol.2012.05.031
http___www.sciencedirect.com_science_article_pii_S0022169412004076 http://www.sciencedirect.com/science/article/pii/S0022169412004076
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OzgurKisi.html
JalalShiri.html
http___dx.doi.org_10.1016_j.cageo.2012.02.007 http://dx.doi.org/10.1016/j.cageo.2012.02.007
http___www.sciencedirect.com_science_article_pii_S0098300412000428 http://www.sciencedirect.com/science/article/pii/S0098300412000428
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OzgurKisi.html
CoskunOzkan.html
BahriyeAkay.html
http___dx.doi.org_10.1016_j.jhydrol.2012.01.026 http://dx.doi.org/10.1016/j.jhydrol.2012.01.026
http___www.sciencedirect.com_science_article_pii_S0022169412000698 http://www.sciencedirect.com/science/article/pii/S0022169412000698
kisi:2012:WRM REPLY to Discussion of ``Precipitation Forecasting Using Wavelet-Genetic Programming and Wavelet-Neuro-Fuzzy Conjunction Models''
OzgurKisi.html
JalalShiri.html
http___link.springer.com_article_10.1007_s11269-012-0060-y http://link.springer.com/article/10.1007/s11269-012-0060-y
http___dx.doi.org_10.1007_s11269-012-0060-y http://dx.doi.org/10.1007/s11269-012-0060-y
Kisi:2013:CG Modeling rainfall-runoff process using soft computing techniques
OzgurKisi.html
JalalShiri.html
MustafaTombul.html
http___dx.doi.org_10.1016_j.cageo.2012.07.001 http://dx.doi.org/10.1016/j.cageo.2012.07.001
http___www.sciencedirect.com_science_article_pii_S0098300412002257 http://www.sciencedirect.com/science/article/pii/S0098300412002257
Kisi:2015:AMC A survey of water level fluctuation predicting in Urmia Lake using support vector machine with firefly algorithm
OzgurKisi.html
JalalShiri.html
SepidehKarimi.html
ShahaboddinShamshirband.html
ShervinMotamedi.html
DaliborPetkovic.html
RoslanHashim.html
http___dx.doi.org_10.1016_j.amc.2015.08.085 http://dx.doi.org/10.1016/j.amc.2015.08.085
http___www.sciencedirect.com_science_article_pii_S0096300315011418 http://www.sciencedirect.com/science/article/pii/S0096300315011418
Kisi:2015:CEA Long-term monthly evapotranspiration modeling by several data-driven methods without climatic data
OzgurKisi.html
HadiSanikhani.html
MohammadZounemat-Kermani.html
FaeghehNiazi.html
http___dx.doi.org_10.1016_j.compag.2015.04.015 http://dx.doi.org/10.1016/j.compag.2015.04.015
http___www.sciencedirect.com_science_article_pii_S0168169915001222 http://www.sciencedirect.com/science/article/pii/S0168169915001222
kisi:2017:TaAC Soil temperature modeling at different depths using neuro-fuzzy, neural network, and genetic programming techniques
OzgurKisi.html
HadiSanikhani.html
MuratCobaner.html
http___link.springer.com_article_10.1007_s00704-016-1810-1 http://link.springer.com/article/10.1007/s00704-016-1810-1
http___dx.doi.org_10.1007_s00704-016-1810-1 http://dx.doi.org/10.1007/s00704-016-1810-1
Kisioglu:2016:ELECO New synthesis models for the coplanar waveguide with a finite width ground plane
HakanKisioglu.html
CelalYildiz.html
http___ieeexplore.ieee.org_xpl_articleDetails.jsp_tp__arnumber_7851991 http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=7851991
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NessimKisserli.html
JanCappaert.html
BartPreneel.html
https___www.esat.kuleuven.be_cosic_publications_article-959.pdf https://www.esat.kuleuven.be/cosic/publications/article-959.pdf
Kitt:2021:GI Partial Specifications for Program Repair
LinseyKitt.html
MyraBCohen.html
https___geneticimprovementofsoftware.com_paper_pdfs_gi2021icse_kitt_gi-icse_2021.pdf https://geneticimprovementofsoftware.com/paper_pdfs/gi2021icse/kitt_gi-icse_2021.pdf
https___www.youtube.com_watch_v_NrmaeHMR_Lw_list_PLI8fiFpB7BoKDaxvS7SQp0iA7fN7rrvDD_index_21 https://www.youtube.com/watch?v=NrmaeHMR_Lw&list=PLI8fiFpB7BoKDaxvS7SQp0iA7fN7rrvDD&index=21
https___www.youtube.com_watch_v_GMFU4DpnO3g_list_PLI8fiFpB7BoKDaxvS7SQp0iA7fN7rrvDD_index_22 https://www.youtube.com/watch?v=GMFU4DpnO3g&list=PLI8fiFpB7BoKDaxvS7SQp0iA7fN7rrvDD&index=22
https___www.youtube.com_watch_v_oJzYRJTYgyk_list_PLXTjhGKkSnI-se7uQneCX-pEDiDrQ7TIS_index_10 https://www.youtube.com/watch?v=oJzYRJTYgyk&list=PLXTjhGKkSnI-se7uQneCX-pEDiDrQ7TIS&index=10
http___dx.doi.org_10.1109_GI52543.2021.00012 http://dx.doi.org/10.1109/GI52543.2021.00012
Kizu:2016:ICIS Consideration of validity of concurrency control program generated in genetic programming
FumaKizu.html
TeruhisaHochin.html
HirokiNomiya.html
http___dx.doi.org_10.1109_ICIS.2016.7550848 http://dx.doi.org/10.1109/ICIS.2016.7550848
klahold:1998:eprGPJb Exploring the Possibilites and Restrictions of Genetic Programming in Java Bytecode
StefanKlahold.html
SteffenFrank.html
RobertEKeller.html
WolfgangBanzhaf.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_gp1998lbp_klahold_1998_eprGPJb.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/gp1998lbp/klahold_1998_eprGPJb.pdf
Klapaukh:2013:CEC The Effect of Primitive Sets on the Expression of Evolved Images
RomanKlapaukh.html
WillNBrowne.html
MengjieZhang.html
http___dx.doi.org_10.1109_CEC.2013.6557640 http://dx.doi.org/10.1109/CEC.2013.6557640
oai:CiteSeerPSU:334994 Evolving Better Wavelet Compression Schemes
AndreasKlappenecker.html
FrankUMay.html
http___iaks-www.ira.uka.de_home_klappi_evol_compr.ps.gz http://iaks-www.ira.uka.de/home/klappi/evol_compr.ps.gz
http___citeseer.ist.psu.edu_334994.html http://citeseer.ist.psu.edu/334994.html
http___dx.doi.org_10.1117_12.217614 http://dx.doi.org/10.1117/12.217614
klassen:2002:IJCNN Towards the On-line Recognition of Arabic Characters
TimJKlassen.html
MalcolmHeywood.html
http___users.cs.dal.ca__mheywood_X-files_Publications_IEEEarabic.pdf http://users.cs.dal.ca/~mheywood/X-files/Publications/IEEEarabic.pdf
1277282 Unwitting distributed genetic programming via asynchronous JavaScript and XML
JonKlein.html
LeeSpector.html
http___gpbib.cs.ucl.ac.uk_gecco2007_docs_p1628.pdf http://gpbib.cs.ucl.ac.uk/gecco2007/docs/p1628.pdf
http___dx.doi.org_10.1145_1276958.1277282 http://dx.doi.org/10.1145/1276958.1277282
Klein:2008:GPTP Genetic Programming with Historically Assessed Hardness
JonKlein.html
LeeSpector.html
http___dx.doi.org_10.1007_978-0-387-87623-8_5 http://dx.doi.org/10.1007/978-0-387-87623-8_5
kleinau:2002:wis04-02 Dynamisches Modell zur Gleichteileverwendung
PeerKleinau.html
ChristianSteffens.html
http___dx.doi.org_10.15358_0340-1650-2002-4-228 http://dx.doi.org/10.15358/0340-1650-2002-4-228
kleinau:2003:gecco:workshop Solving an Inventory-Control problem with Genetic Programming
PeerKleinau.html
kleinau:2003:MIC Deriving simple (R,T)-policies with Genetic Programming
PeerKleinau.html
http___to.zakachate.ru_tw_files2_urls_29_427_d-426814_7z-docs_10.pdf http://to.zakachate.ru/tw_files2/urls_29/427/d-426814/7z-docs/10.pdf
kleinau:2003:OR Deriving Inventory Control Policies for Periodic Review with Genetic Programming
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http___dx.doi.org_10.1007_978-3-642-17022-5_12 http://dx.doi.org/10.1007/978-3-642-17022-5_12
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kleinau:thesis_book Application of Genetic Programming to Finance and Operations Management
PeerKleinau.html
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kleinau:2004:SOR Deriving inventory-control policies with genetic programming
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http___dx.doi.org_10.1007_s00291-004-0159-5 http://dx.doi.org/10.1007/s00291-004-0159-5
kleinau:2004:ovGP Option Valuation with Genetic Programming
PeerKleinau.html
Kline:2005:AEM Derivation and Validation of a Bayesian Network to Predict Pretest Probability of Venous Thromboembolism
JeffreyAKline.html
AndrewJNovobilski.html
ChristopherKabrhel.html
PeterBRichman.html
DMarkCourtney.html
http___dx.doi.org_10.1016_j.annemergmed.2004.08.036 http://dx.doi.org/10.1016/j.annemergmed.2004.08.036
klucik:2009:NTTS Time Series Modeling with Genetic Programming Relative to ARIMA Models
MiroslavKlucik.html
JanaJuriova.html
MarianKlucik.html
http___epp.eurostat.ec.europa.eu_portal_page_portal_research_methodology_documents_POSTER_4P_TIME_SERIES_MODELLING_KLUCIK.pdf http://epp.eurostat.ec.europa.eu/portal/page/portal/research_methodology/documents/POSTER_4P_TIME_SERIES_MODELLING_KLUCIK.pdf
Klusacek:2016:IFAC-PapersOnLine Comparing Fitness Functions for Genetic Feature Transformation
JanKlusacek.html
VaclavJirsik.html
http___dx.doi.org_10.1016_j.ifacol.2016.12.053 http://dx.doi.org/10.1016/j.ifacol.2016.12.053
http___www.sciencedirect.com_science_article_pii_S2405896316326891 http://www.sciencedirect.com/science/article/pii/S2405896316326891
journals/isci/KluskaM21 Extremely simple classifier based on fuzzy logic and gene expression programming
JacekKluska.html
MichalMadera.html
https___www.sciencedirect.com_science_article_pii_S0020025521005016 https://www.sciencedirect.com/science/article/pii/S0020025521005016
http___dx.doi.org_10.1016_j.ins.2021.05.041 http://dx.doi.org/10.1016/j.ins.2021.05.041
Kneusel:prng Random Numbers and Computers
RonaldTKneusel.html
https___www.amazon.co.uk_Random-Numbers-Computers-Ronald-Kneusel_dp_3319776967 https://www.amazon.co.uk/Random-Numbers-Computers-Ronald-Kneusel/dp/3319776967
Knezevic:2023:IEEEAccess NeuroSCA: Evolving Activation Functions for Side-Channel Analysis
KarloKnezevic.html
JurajFulir.html
DomagojJakobovic.html
StjepanPicek.html
MarkoDurasevic.html
http___dx.doi.org_10.1109_ACCESS.2022.3232064 http://dx.doi.org/10.1109/ACCESS.2022.3232064
kn-de-08 On Robust Evolution of Digital Hardware
TobiasKnieper.html
BertrandDefo.html
PaulKaufmann.html
MarcoPlatzner.html
http___dx.doi.org_10.1007_978-0-387-09655-1_19 http://dx.doi.org/10.1007/978-0-387-09655-1_19
kn-ka-gl-10a Coping with Resource Fluctuations: The Run-time Reconfigurable Functional Unit Row Classifier Architecture
TobiasKnieper.html
PaulKaufmann.html
KyrreHaraldGlette.html
MarcoPlatzner.html
JimTorresen.html
http___dx.doi.org_10.1007_978-3-642-15323-5_22 http://dx.doi.org/10.1007/978-3-642-15323-5_22
ko_annie2001 Adaptive Control of Crossover Rate in Genetic Programming
Eun-JoungKo.html
OscarNGarcia.html
http___www.amazon.co.uk_Intelligent-Engineering-Systems-Artificial-Networks_dp_0791800482_ http://www.amazon.co.uk/Intelligent-Engineering-Systems-Artificial-Networks/dp/0791800482/
Kobashigawa:2009:APSURSI Comparative study of genetic programming vs. neural networks for the classification of buried objects
JillSKNakatsu.html
Hyoung-sunYoun.html
MagdyFIskander.html
ZhengqingYun.html
http___dx.doi.org_10.1109_APS.2009.5172386 http://dx.doi.org/10.1109/APS.2009.5172386
Kobashigawa:2010:APSURSI Comparison between genetic programming and Neural Network in classification of buried unexploded ordnance (UXO) targets
JillSKNakatsu.html
Hyoung-sunYoun.html
MagdyFIskander.html
ZhengqingYun.html
http___dx.doi.org_10.1109_APS.2010.5561278 http://dx.doi.org/10.1109/APS.2010.5561278
Kobashigawa:2011:LAWP Classification of Buried Targets Using Ground Penetrating Radar: Comparison Between Genetic Programming and Neural Networks
JillSKNakatsu.html
Hyoung-sunYoun.html
MagdyFIskander.html
ZhengqingYun.html
http___dx.doi.org_10.1109_LAWP.2011.2167120 http://dx.doi.org/10.1109/LAWP.2011.2167120
Kobayashi:2011:SII Genetic programming based output regulation via optimal inversion for nonlinear systems
TomoakiKobayashi.html
TKimoto.html
JoeImae.html
http___dx.doi.org_10.1109_SII.2011.6147481 http://dx.doi.org/10.1109/SII.2011.6147481
Kobayashi:2009:ismir Automatic Generation of Musical Instrument Detector by Using Evolutionary Learning Method
YoshiyukiKobayashi.html
http___ismir2009.ismir.net_proceedings_PS1-7.pdf http://ismir2009.ismir.net/proceedings/PS1-7.pdf
Koc:2015:CILS A genetic programming-based QSPR model for predicting solubility parameters of polymers
DilekImrenKoc.html
MehmetLeventKoc.html
http___dx.doi.org_10.1016_j.chemolab.2015.04.005 http://dx.doi.org/10.1016/j.chemolab.2015.04.005
http___www.sciencedirect.com_science_article_pii_S0169743915000878 http://www.sciencedirect.com/science/article/pii/S0169743915000878
Koc:2016:OE Stability assessment of rubble-mound breakwaters using genetic programming
MehmetLeventKoc.html
CanElmarBalas.html
DilekImrenKoc.html
http___dx.doi.org_10.1016_j.oceaneng.2015.10.058 http://dx.doi.org/10.1016/j.oceaneng.2015.10.058
http___www.sciencedirect.com_science_article_pii_S0029801815006058 http://www.sciencedirect.com/science/article/pii/S0029801815006058
kochenderfer:2002:ETPBSIGP Evolving Teleo-Reactive Programs for Block Stacking using Indexicals through Genetic Programming
MykelJKochenderfer.html
http___www.genetic-programming.org_sp2002_Kochenderfer.pdf http://www.genetic-programming.org/sp2002/Kochenderfer.pdf
kochenderfer03 Evolving Hierarchical and Recursive Teleo-Reactive Programs through Genetic Programming
MykelJKochenderfer.html
http___mykel.kochenderfer.com_publications_Kochenderfer-2003.pdf http://mykel.kochenderfer.com/publications/Kochenderfer-2003.pdf
http___dx.doi.org_10.1007_3-540-36599-0_8 http://dx.doi.org/10.1007/3-540-36599-0_8
Kocnova:2019:EuroGP Towards a Scalable EA-based Optimization of Digital Circuits
JitkaKocnova.html
ZdenekVasicek.html
https___www.springer.com_us_book_9783030166694 https://www.springer.com/us/book/9783030166694
http___dx.doi.org_10.1007_978-3-030-16670-0_6 http://dx.doi.org/10.1007/978-3-030-16670-0_6
Kocnova:2019:GECCOcomp Impact of subcircuit selection on the efficiency of CGP-based optimization of gate-level circuits
JitkaKocnova.html
ZdenekVasicek.html
http___dx.doi.org_10.1145_3319619.3321926 http://dx.doi.org/10.1145/3319619.3321926
Kocnova:GPEM:resynthesis EA-based resynthesis: an efficient tool for optimization of digital circuits
JitkaKocnova.html
ZdenekVasicek.html
http___dx.doi.org_10.1007_s10710-020-09376-3 http://dx.doi.org/10.1007/s10710-020-09376-3
Kocnova:2021:DSD Resynthesis of logic circuits using machine learning and reconvergent paths
JitkaKocnova.html
ZdenekVasicek.html
http___dx.doi.org_10.1109_DSD53832.2021.00020 http://dx.doi.org/10.1109/DSD53832.2021.00020
Kocsis:2014:SMGP Asymptotic Genetic Improvement Programming via Type Functors and Catamorphisms
ZoltanKocsis.html
JerrySwan.html
http___www.cs.put.poznan.pl_kkrawiec_smgp2014_uploads_Site_Kocsis.pdf http://www.cs.put.poznan.pl/kkrawiec/smgp2014/uploads/Site/Kocsis.pdf
ssbsehadoop Repairing and Optimizing Hadoop hashCode Implementations
ZoltanKocsis.html
GeoffreyKNeumann.html
JerrySwan.html
MichaelGEpitropakis.html
AlexanderEIBrownlee.html
SaemundurOskarHaraldsson.html
EdwardBowles.html
http___www.springer.com_computer_swe_book_978-3-319-09939-2 http://www.springer.com/computer/swe/book/978-3-319-09939-2
http___dx.doi.org_10.1007_978-3-319-09940-8_22 http://dx.doi.org/10.1007/978-3-319-09940-8_22
https___rdcu.be_dlF1X https://rdcu.be/dlF1X
Kocsis:2016:GI Automatic Improvement of Apache Spark Queries using Semantics-preserving Program Reduction
ZoltanKocsis.html
JohnHDrake.html
DouglasCarson.html
JerrySwan.html
http___geneticimprovementofsoftware.com_wp-content_uploads_2016_06_Automatic_Improvement_of_Apache_Spark_Queries_using_Semantics-preserving_Program_Reduction.pdf http://geneticimprovementofsoftware.com/wp-content/uploads/2016/06/Automatic_Improvement_of_Apache_Spark_Queries_using_Semantics-preserving_Program_Reduction.pdf
http___dx.doi.org_10.1145_2908961.2931692 http://dx.doi.org/10.1145/2908961.2931692
PolyfinicJAR Genetic Programming + Proof Search = Automatic Improvement
ZoltanKocsis.html
JerrySwan.html
http___eprints.whiterose.ac.uk_117917_ http://eprints.whiterose.ac.uk/117917/
http___eprints.whiterose.ac.uk_117917_1_art_10.1007_s10817_017_9409_5.pdf http://eprints.whiterose.ac.uk/117917/1/art_10.1007_s10817_017_9409_5.pdf
http___dx.doi.org_10.1007_s10817-017-9409-5 http://dx.doi.org/10.1007/s10817-017-9409-5
Kodali:2018:PPSN Understanding Climate-Vegetation Interactions in Global Rainforests Through a GP-Tree Analysis
AnuradhaKodali.html
MarcinSzubert.html
KamalikaDas.html
SangramGanguly.html
JoshCBongard.html
https___www.springer.com_gp_book_9783319992587 https://www.springer.com/gp/book/9783319992587
http___dx.doi.org_10.1007_978-3-319-99253-2_42 http://dx.doi.org/10.1007/978-3-319-99253-2_42
Kodjabachian:1998:ieeeTNN Evolution and development of neural controllers for locomotion, gradient-following, and obstacle-avoidance in artificial insects
JeromeKodjabachian.html
Jean-ArcadyMeyer.html
http___dx.doi.org_10.1109_72.712153 http://dx.doi.org/10.1109/72.712153
koeppen:2001:tdgp Texture Detection by Genetic Programming
MarioKoppen.html
XiufenLiu.html
http___dx.doi.org_10.1109_CEC.2001.934281 http://dx.doi.org/10.1109/CEC.2001.934281
Koesemen:2018:UBMK The Pseudorandom Number Generator Generation Method with Genetic Programming for Lightweight Devices
CemKoesemen.html
OmerAydin.html
GokhanDalkilic.html
http___dx.doi.org_10.1109_UBMK.2018.8566484 http://dx.doi.org/10.1109/UBMK.2018.8566484
Koetzing:2011:GECCO PAC Learning and Genetic Programming
TimoKoetzing.html
FrankNeumann.html
RetoSpoehel.html
http___dx.doi.org_10.1145_2001576.2001857 http://dx.doi.org/10.1145/2001576.2001857
Koetzing:2012:GECCO The max problem revisited: the importance of mutation in genetic programming
TimoKoetzing.html
AndrewMSutton.html
FrankNeumann.html
Una-MayO'Reilly.html
http___dx.doi.org_10.1145_2330163.2330348 http://dx.doi.org/10.1145/2330163.2330348
KOTZING201494 The Max problem revisited: The importance of mutation in genetic programming
TimoKoetzing.html
AndrewMSutton.html
FrankNeumann.html
Una-MayO'Reilly.html
http___www.sciencedirect.com_science_article_pii_S0304397513004684 http://www.sciencedirect.com/science/article/pii/S0304397513004684
http___dx.doi.org_10.1016_j.tcs.2013.06.014 http://dx.doi.org/10.1016/j.tcs.2013.06.014
Koetzing:2018:PPSN Destructiveness of Lexicographic Parsimony Pressure and Alleviation by a Concatenation Crossover in Genetic Programming
TimoKoetzing.html
JAGregorLagodzinski.html
JohannesLengler.html
AnnaMelnichenko.html
https___www.springer.com_gp_book_9783319992587 https://www.springer.com/gp/book/9783319992587
http___dx.doi.org_10.1007_978-3-319-99259-4_4 http://dx.doi.org/10.1007/978-3-319-99259-4_4
Koetzing:2020:TCS Destructiveness of lexicographic parsimony pressure and alleviation by a concatenation crossover in genetic programming
TimoKoetzing.html
JAGregorLagodzinski.html
JohannesLengler.html
AnnaMelnichenko.html
https___www.sciencedirect.com_science_article_pii_S0304397519307625 https://www.sciencedirect.com/science/article/pii/S0304397519307625
http___dx.doi.org_10.1016_j.tcs.2019.11.036 http://dx.doi.org/10.1016/j.tcs.2019.11.036
Kofler:2009:LINDI Evaluation of Dispatching Strategies for the Optimization of a Real-World Production Plant
MonikaKofler.html
AndreasBeham.html
StefanWagner.html
MichaelAffenzeller.html
http___dx.doi.org_10.1109_LINDI.2009.5258765 http://dx.doi.org/10.1109/LINDI.2009.5258765
Kofod-petersen:masters Adaptive Behaviour Based Robotics using On-Board Genetic Programming
AndersKofod-Petersen.html
http___www.idi.ntnu.no__anderpe_publications_kofod-petersen_MSC2002.pdf http://www.idi.ntnu.no/~anderpe/publications/kofod-petersen_MSC2002.pdf
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.139.3070 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.139.3070
DBLP:conf/ssci/KogaO21 Non-generational Geometric Semantic Genetic Programming
DaikKoga.html
KeiOhnishi.html
https___doi.org_10.1109_SSCI50451.2021.9660116 https://doi.org/10.1109/SSCI50451.2021.9660116
http___dx.doi.org_10.1109_SSCI50451.2021.9660116 http://dx.doi.org/10.1109/SSCI50451.2021.9660116
https___dblp.org_rec_conf_ssci_KogaO21.bib https://dblp.org/rec/conf/ssci/KogaO21.bib
DBLP:conf/isipers/KogaO18 Effective Pre-processing of Genetic Programming for Solving Symbolic Regression in Equation Extraction
IsseiKoga.html
KenjiOno.html
https___doi.org_10.1007_978-3-030-30284-9_6 https://doi.org/10.1007/978-3-030-30284-9_6
http___dx.doi.org_10.1007_978-3-030-30284-9_6 http://dx.doi.org/10.1007/978-3-030-30284-9_6
https___dblp.org_rec_conf_isipers_KogaO18.bib https://dblp.org/rec/conf/isipers/KogaO18.bib
KOHZADI:2023:molliq Removal of RhB from water by Fe-modified hydrochar and biochar - An experimental evaluation supported by genetic programming
ShadiKohzadi.html
NaderMarzban.html
JudyALibra.html
MircoBundschuh.html
AfshinMaleki.html
http___dx.doi.org_10.1016_j.molliq.2022.120971 http://dx.doi.org/10.1016/j.molliq.2022.120971
https___www.sciencedirect.com_science_article_pii_S0167732222025107 https://www.sciencedirect.com/science/article/pii/S0167732222025107
Kojima:2001:MPT Identification of crack profiles using genetic programming and fuzzy inference
FumioKojima.html
NaoyukiKubota.html
SetsuoHashimoto.html
http___dx.doi.org_10.1016_S0924-0136_00_00767-6 http://dx.doi.org/10.1016/S0924-0136(00)00767-6
http___www.sciencedirect.com_science_article_B6TGJ-41WSC52-10_1_dab41d59bda7ac05c11a7560f11f27ba http://www.sciencedirect.com/science/article/B6TGJ-41WSC52-10/1/dab41d59bda7ac05c11a7560f11f27ba
kokai1998 Application of Genetic Algorithms with more Populations for Lindenmayer Systems
GabriellaKokai.html
ZoltanToth.html
RobertVanyi.html
http___www.inf.u-szeged.hu__kokai_papers_kanari.ps.gz http://www.inf.u-szeged.hu/~kokai/papers/kanari.ps.gz
http___citeseer.ist.psu.edu_515449.html http://citeseer.ist.psu.edu/515449.html
kokai1999-1 Evolving Artificial Trees Described by Parametric L-Systems
GabriellaKokai.html
ZoltanToth.html
RobertVanyi.html
http___citeseer.ist.psu.edu_cache_papers_cs_23884_http_zSzzSzwww2.informatik.uni-erlangen.dezSz_kokaizSzpaperszSzppsn_g.pdf_evolving-artificial-trees-described.pdf http://citeseer.ist.psu.edu/cache/papers/cs/23884/http:zSzzSzwww2.informatik.uni-erlangen.dezSz~kokaizSzpaperszSzppsn_g.pdf/evolving-artificial-trees-described.pdf
http___citeseer.ist.psu.edu_464865.html http://citeseer.ist.psu.edu/464865.html
http___dx.doi.org_10.1109_CCECE.1999.804977 http://dx.doi.org/10.1109/CCECE.1999.804977
kokai1999-2 Modelling Blood Vessel of the Eye with Parametric L-Systems Using Evolutionary Algorithms
GabriellaKokai.html
ZoltanToth.html
RobertVanyi.html
http___dx.doi.org_10.1007_3-540-48720-4_48 http://dx.doi.org/10.1007/3-540-48720-4_48
kokai:1999:GEAPL Generic Evolution Algorithms Programming Library
GabriellaKokai.html
ZoltanToth.html
RobertVanyi.html
http___gpbib.cs.ucl.ac.uk_gecco1999_MP-601b.pdf http://gpbib.cs.ucl.ac.uk/gecco1999/MP-601b.pdf
http___gpbib.cs.ucl.ac.uk_gecco1999_MP-601b.ps http://gpbib.cs.ucl.ac.uk/gecco1999/MP-601b.ps
kokai:1999:PLDRCEO Parametric L-System Description of the Retina with Combined Evolutionary Operators
GabriellaKokai.html
RobertVanyi.html
ZoltanToth.html
http___gpbib.cs.ucl.ac.uk_gecco1999_RW-769.pdf http://gpbib.cs.ucl.ac.uk/gecco1999/RW-769.pdf
http___gpbib.cs.ucl.ac.uk_gecco1999_RW-769.ps http://gpbib.cs.ucl.ac.uk/gecco1999/RW-769.ps
kokai:2002:gecco:lbp An Experimental Comparison of Genetic and Classical Concept Learning Methods
GabriellaKokai.html
ZoltanToth.html
SzilviaZvada.html
http___www2.informatik.uni-erlangen.de_Forschung_Publikationen_download_gecco2002.ps.gz http://www2.informatik.uni-erlangen.de/Forschung/Publikationen/download/gecco2002.ps.gz
WSEAS_346_Kokai Expansion of the GeLog System by Automatic Adaptation of Parameters
GabriellaKokai.html
http___www.wseas.us_e-library_conferences_crete2002_papers_444-346.pdf http://www.wseas.us/e-library/conferences/crete2002/papers/444-346.pdf
Dartmouth:TR99-354 Computers, Art and Smart Rooms: A Smart Picture Frame that Senses the Weather and Genetically Evolves Images
MarisaEKolodny.html
ftp___ftp.cs.dartmouth.edu_TR_TR99-354.pdf ftp://ftp.cs.dartmouth.edu/TR/TR99-354.pdf
ftp___ftp.cs.dartmouth.edu_TR_TR99-354.ps.Z ftp://ftp.cs.dartmouth.edu/TR/TR99-354.ps.Z
Kolodziejczyk:2008:ieeeIS A methodological approach ball bearing damage prediction under fretting wear conditions
TomaszKolodziejczyk.html
RosarioToscano.html
CyrilFillon.html
SiegfriedFouvry.html
CarloPoloni.html
GuillermoMorales-Espejel.html
PatrickLyonnet.html
http___dx.doi.org_10.1109_IS.2008.4670497 http://dx.doi.org/10.1109/IS.2008.4670497
Kolodziejczyk2010309 Artificial intelligence as efficient technique for ball bearing fretting wear damage prediction
TomaszKolodziejczyk.html
RosarioToscano.html
SiegfriedFouvry.html
GuillermoMorales-Espejel.html
http___dx.doi.org_10.1016_j.wear.2009.08.016 http://dx.doi.org/10.1016/j.wear.2009.08.016
http___www.sciencedirect.com_science_article_B6V5B-4X0XF4J-1_2_3c189b35f0992af14970b9a1f6061dc1 http://www.sciencedirect.com/science/article/B6V5B-4X0XF4J-1/2/3c189b35f0992af14970b9a1f6061dc1
komai:2022:AS Human Randomness in the Rock-Paper-Scissors Game
TakahiroKomai.html
HiroakiKurokawa.html
Song-JuKim.html
https___www.mdpi.com_2076-3417_12_23_12192 https://www.mdpi.com/2076-3417/12/23/12192
http___dx.doi.org_10.3390_app122312192 http://dx.doi.org/10.3390/app122312192
conf/pact/KomannMF07 Comparison of Evolving Uniform, Non-uniform Cellular Automaton, and Genetic Programming for Centroid Detection with Hardware Agents
MarcusKomann.html
AndreasMainka.html
DietmarFey.html
http___dx.doi.org_10.1007_978-3-540-73940-1_43 http://dx.doi.org/10.1007/978-3-540-73940-1_43
Komann:2009:eurogp On the Effectivity of Genetic Programming Compared to the Time-Consuming Full Search of Optimal 6-State Automata
MarcusKomann.html
PatrickEdiger.html
DietmarFey.html
RolfHoffmann.html
http___dx.doi.org_10.1007_978-3-642-01181-8_24 http://dx.doi.org/10.1007/978-3-642-01181-8_24
Komann:2010:EvoCOMPLEX Revising the Trade-off Between the Number of Agents and Agent Intelligence
MarcusKomann.html
DietmarFey.html
http___dx.doi.org_10.1007_978-3-642-12239-2_4 http://dx.doi.org/10.1007/978-3-642-12239-2_4
MarcusKomannDissertation Manual Engineering and Evolution of Emergent Algorithms for Agents on Two-dimensional Grids
MarcusKomann.html
http___www.opus.ub.uni-erlangen.de_opus_volltexte_2011_2315 http://www.opus.ub.uni-erlangen.de/opus/volltexte/2011/2315
http___www.opus.ub.uni-erlangen.de_opus_volltexte_2011_2315_pdf_MarcusKomannDissertation.pdf http://www.opus.ub.uni-erlangen.de/opus/volltexte/2011/2315/pdf/MarcusKomannDissertation.pdf
conf/pdpta/KomatsuYTJ10 A Music Composition Model with Genetic Programming
KyokoKomatsu.html
TomomiYamanaka.html
MasamiTakata.html
JoeKazuki.html
https___www.researchgate.net_publication_221132452_A_Music_Composition_Model_with_Genetic_Programming https://www.researchgate.net/publication/221132452_A_Music_Composition_Model_with_Genetic_Programming
https___ipsj.ixsq.nii.ac.jp_ej__action_repository_uri_item_id_69788_file_id_1_file_no_1 https://ipsj.ixsq.nii.ac.jp/ej/?action=repository_uri&item_id=69788&file_id=1&file_no=1
Kommenda:2009:LINDI Application of Genetic Programming on Temper Mill Datasets
MichaelKommenda.html
GabrielKronberger.html
StephanMWinkler.html
MichaelAffenzeller.html
StefanWagner.html
LeonhardSchickmair.html
BenjaminLindner.html
http___dx.doi.org_10.1109_LINDI.2009.5258766 http://dx.doi.org/10.1109/LINDI.2009.5258766
Kommenda:evoapps11 Data Mining Using Unguided Symbolic Regression on a Blast Furnace Dataset
MichaelKommenda.html
GabrielKronberger.html
ChristophFeilmayr.html
MichaelAffenzeller.html
http___dx.doi.org_10.1007_978-3-642-20525-5_28 http://dx.doi.org/10.1007/978-3-642-20525-5_28
Kommenda:2012:GECCOcomp On the architecture and implementation of tree-based genetic programming in HeuristicLab
MichaelKommenda.html
GabrielKronberger.html
StefanWagner.html
StephanMWinkler.html
MichaelAffenzeller.html
http___dx.doi.org_10.1145_2330784.2330801 http://dx.doi.org/10.1145/2330784.2330801
3737 Nonlinear Least Squares Optimization of Constants in Symbolic Regression
MichaelKommenda.html
MichaelAffenzeller.html
GabrielKronberger.html
StephanMWinkler.html
https___link.springer.com_chapter_10.1007_978-3-642-53856-8_53 https://link.springer.com/chapter/10.1007/978-3-642-53856-8_53
http___dx.doi.org_10.1007_978-3-642-53856-8_53 http://dx.doi.org/10.1007/978-3-642-53856-8_53
Kommenda:2013:GECCOcomp Effects of constant optimization by nonlinear least squares minimization in symbolic regression
MichaelKommenda.html
GabrielKronberger.html
StephanMWinkler.html
MichaelAffenzeller.html
StefanWagner.html
http___dx.doi.org_10.1145_2464576.2482691 http://dx.doi.org/10.1145/2464576.2482691
Kommenda:2014:GECCOcomp Genetic programming with data migration for symbolic regression
MichaelKommenda.html
MichaelAffenzeller.html
BogdanBurlacu.html
GabrielKronberger.html
StephanMWinkler.html
http___doi.acm.org_10.1145_2598394.2609857 http://doi.acm.org/10.1145/2598394.2609857
http___dx.doi.org_10.1145_2598394.2609857 http://dx.doi.org/10.1145/2598394.2609857
4593 Complexity Measures for Multi-Objective Symbolic Regression
MichaelKommenda.html
AndreasBeham.html
MichaelAffenzeller.html
GabrielKronberger.html
https___link.springer.com_chapter_10.1007_978-3-319-27340-2_51 https://link.springer.com/chapter/10.1007/978-3-319-27340-2_51
http___dx.doi.org_10.1007_978-3-319-27340-2_51 http://dx.doi.org/10.1007/978-3-319-27340-2_51
Kommenda:2015:GPTP Evolving Simple Symbolic Regression Models by Multi-objective Genetic Programming
MichaelKommenda.html
GabrielKronberger.html
MichaelAffenzeller.html
StephanMWinkler.html
BogdanBurlacu.html
http___www.springer.com_us_book_9783319342214 http://www.springer.com/us/book/9783319342214
http___dx.doi.org_10.1007_978-3-319-34223-8_1 http://dx.doi.org/10.1007/978-3-319-34223-8_1
series/sci/KommendaAKBW15 Multi-Population Genetic Programming with Data Migration for Symbolic Regression
MichaelKommenda.html
MichaelAffenzeller.html
GabrielKronberger.html
BogdanBurlacu.html
StephanMWinkler.html
http___dx.doi.org_10.1007_978-3-319-15720-7 http://dx.doi.org/10.1007/978-3-319-15720-7
4777 Heat Treatment Process Parameter Estimation using Heuristic Optimization Algorithms
MichaelKommenda.html
BogdanBurlacu.html
ReinhardHolecek.html
AndreasGebeshuber.html
MichaelAffenzeller.html
http___www.msc-les.org_proceedings_emss_2015_EMSS2015_222.pdf http://www.msc-les.org/proceedings/emss/2015/EMSS2015_222.pdf
6344 Optimization Networks for Integrated Machine Learning
MichaelKommenda.html
JohannesKarder.html
AndreasBeham.html
BogdanBurlacu.html
GabrielKronberger.html
StefanWagner.html
MichaelAffenzeller.html
https___link.springer.com_chapter_10.1007_978-3-319-74718-7_47 https://link.springer.com/chapter/10.1007/978-3-319-74718-7_47
http___dx.doi.org_10.1007_978-3-319-74718-7_47 http://dx.doi.org/10.1007/978-3-319-74718-7_47
Kommenda:GPEM Parameter identification for symbolic regression using nonlinear least squares
MichaelKommenda.html
BogdanBurlacu.html
GabrielKronberger.html
MichaelAffenzeller.html
https___rdcu.be_cAIuP https://rdcu.be/cAIuP
http___dx.doi.org_10.1007_s10710-019-09371-3 http://dx.doi.org/10.1007/s10710-019-09371-3
Koncal:2019:EuroGP Cartesian Genetic Programming as an Optimizer of Programs Evolved with Geometric Semantic Genetic Programming
OndrejKoncal.html
LukasSekanina.html
https___www.springer.com_us_book_9783030166694 https://www.springer.com/us/book/9783030166694
http___dx.doi.org_10.1007_978-3-030-16670-0_7 http://dx.doi.org/10.1007/978-3-030-16670-0_7
Koneru:2019:VTS Reliable Power Delivery and Analysis of Power-Supply Noise During Testing in Monolithic 3D ICs
AbhishekKoneru.html
AidaTodri-Sanial.html
KrishnenduChakrabarty.html
http___dx.doi.org_10.1109_VTS.2019.8758650 http://dx.doi.org/10.1109/VTS.2019.8758650
Kong:2023:ACC Generating Fake News Detection Model Using A Two-Stage Evolutionary Approach
JefferyTHKong.html
WeiKittWong.html
FilbertHJuwono.html
CaturApriono.html
http___dx.doi.org_10.1109_ACCESS.2023.3303321 http://dx.doi.org/10.1109/ACCESS.2023.3303321
Kong:2015:ieeeISSRE Experience report: How do techniques, programs, and tests impact automated program repair?
XianglongKong.html
LingmingZhang.html
WEricWong.html
BixinLi.html
http___dx.doi.org_10.1109_ISSRE.2015.7381813 http://dx.doi.org/10.1109/ISSRE.2015.7381813
Konig:2007:cec Genetic Programming - A Tool for Flexible Rule Extraction
RikardKonig.html
UlfJohansson.html
LarsNiklasson.html
http___dx.doi.org_10.1109_CEC.2007.4424621 http://dx.doi.org/10.1109/CEC.2007.4424621
DBLP:conf/flairs/KonigJN08 Using Genetic Programming to Increase Rule Quality
RikardKonig.html
UlfJohansson.html
LarsNiklasson.html
http___www.aaai.org_Papers_FLAIRS_2008_FLAIRS08-071.pdf http://www.aaai.org/Papers/FLAIRS/2008/FLAIRS08-071.pdf
Konig:2008:ieeeICDMW G-REX: A Versatile Framework for Evolutionary Data Mining
RikardKonig.html
UlfJohansson.html
LarsNiklasson.html
http___dx.doi.org_10.1109_ICDMW.2008.117 http://dx.doi.org/10.1109/ICDMW.2008.117
https___sites.google.com_site_grexunleashed_ https://sites.google.com/site/grexunleashed/
Konig:2010:cec Improving GP classification performance by injection of decision trees
RikardKonig.html
UlfJohansson.html
TuveLofstrom.html
LarsNiklasson.html
http___dx.doi.org_10.1109_CEC.2010.5585988 http://dx.doi.org/10.1109/CEC.2010.5585988
Konig:2010:IADIS Finding the tree in the Forest
RikardKonig.html
UlfJohansson.html
LarsNiklasson.html
http___www.iadisportal.org_applied-computing-2010-proceedings http://www.iadisportal.org/applied-computing-2010-proceedings
http___bada.hb.se_bitstream_2320_6870_1_Finding_20the_20Tree_20In_20The_20forest.pdf http://bada.hb.se/bitstream/2320/6870/1/Finding%20the%20Tree%20In%20The%20forest.pdf
Konig:2014:CIDM Rule extraction using genetic programming for accurate sales forecasting
RikardKonig.html
UlfJohansson.html
http___dx.doi.org_10.1109_CIDM.2014.7008669 http://dx.doi.org/10.1109/CIDM.2014.7008669
Konig:thesis Enhancing genetic programming for predictive modeling
RikardKonig.html
http___oru.diva-portal.org_smash_get_diva2_689868_FULLTEXT01.pdf http://oru.diva-portal.org/smash/get/diva2:689868/FULLTEXT01.pdf
http___urn.kb.se_resolve_urn_urn_nbn_se_oru_diva-33206 http://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-33206
Konrady:2015:IJCCI L2 Designer: Language and tool for generative art
TomasKonrady.html
BarboraTesarova.html
KamilaStekerova.html
http___ieeexplore.ieee.org_xpl_articleDetails.jsp_tp__arnumber_7529345 http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=7529345
Konstam:1998:gcGPGA Group Classification Using a Mix of Genetic Programming and Genetic Algorithms
AaronKonstam.html
http___www.cogsci.ed.ac.uk__ceilidh_SAC-Papers_Paper34_index.html http://www.cogsci.ed.ac.uk/~ceilidh/SAC-Papers/Paper34/index.html
http___dl.acm.org_citation.cfm_id_330712 http://dl.acm.org/citation.cfm?id=330712
http___dx.doi.org_10.1145_330560.330712 http://dx.doi.org/10.1145/330560.330712
Konstantinidis:2010:IJEIS A GP-MOEA/D approach for modelling total electron content over Cyprus
AndreasConstantinides.html
HarisHaralambous.html
AlexandrosAgapitos.html
HarrisPapadopoulos.html
http___www.crlpublishing.co.uk_journal.asp_j_eis_s_Vol_2018_202010 http://www.crlpublishing.co.uk/journal.asp?j=eis&s=Vol%2018%202010
http___arxiv.org_abs_1111.5720 http://arxiv.org/abs/1111.5720
KONYRBAEV:2019:procs Evolutional Methods for Creating Artificial Intelligence of Robotic Technical Systems
NBKonyrbaev.html
SIIbadulla.html
AskhatDiveevIbraghimovich.html
http___dx.doi.org_10.1016_j.procs.2019.02.018 http://dx.doi.org/10.1016/j.procs.2019.02.018
http___www.sciencedirect.com_science_article_pii_S1877050919303618 http://www.sciencedirect.com/science/article/pii/S1877050919303618
Koohestani:2010:PPSN A Genetic Programming Approach to the Matrix Bandwidth-Minimization Problem
BehroozKoohestani.html
RiccardoPoli.html
http___dx.doi.org_10.1007_978-3-642-15871-1_49 http://dx.doi.org/10.1007/978-3-642-15871-1_49
Koohestani:2011:SGAI A Hyper-Heuristic Approach to Evolving Algorithms for Bandwidth Reduction Based on Genetic Programming
BehroozKoohestani.html
RiccardoPoli.html
http___cswww.essex.ac.uk_staff_poli_papers_KoohestaniPoli2011_SGAI_conference.pdf http://cswww.essex.ac.uk/staff/poli/papers/KoohestaniPoli2011_SGAI_conference.pdf
http___dx.doi.org_10.1007_978-1-4471-2318-7_7 http://dx.doi.org/10.1007/978-1-4471-2318-7_7
conf/ppsn/KoohestaniP12 A Genetic Programming Approach for Evolving Highly-Competitive General Algorithms for Envelope Reduction in Sparse Matrices
BehroozKoohestani.html
RiccardoPoli.html
http___dx.doi.org_10.1007_978-3-642-32964-7_29 http://dx.doi.org/10.1007/978-3-642-32964-7_29
Koohestani:2012:CEEC On the application of Genetic Programming to the envelope reduction problem
BehroozKoohestani.html
RiccardoPoli.html
http___dx.doi.org_10.1109_CEEC.2012.6375378 http://dx.doi.org/10.1109/CEEC.2012.6375378
Koohestani:thesis Genetic Hyper-Heuristics for Graph Layout Problems
BehroozKoohestani.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_Behrooz_PHDThesis_FinalVersion.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/Behrooz_PHDThesis_FinalVersion.pdf
http___www.essex.ac.uk_csee_news_and_seminars_newsEvent.aspx_e_id_5802 http://www.essex.ac.uk/csee/news_and_seminars/newsEvent.aspx?e_id=5802
Koohestani:2014:ieeeTEC Evolving an Improved Algorithm for Envelope Reduction Using a Hyper-Heuristic Approach
BehroozKoohestani.html
RiccardoPoli.html
http___dx.doi.org_10.1109_TEVC.2013.2281512 http://dx.doi.org/10.1109/TEVC.2013.2281512
Koohestani:2014:COA Addressing the envelope reduction of sparse matrices using a genetic programming system
BehroozKoohestani.html
RiccardoPoli.html
http___link.springer.com_article_10.1007_s10589-014-9688-2 http://link.springer.com/article/10.1007/s10589-014-9688-2
http___dx.doi.org_10.1007_s10589-014-9688-2 http://dx.doi.org/10.1007/s10589-014-9688-2
http___dx.doi.org_10.1007_s10589-014-9688-2 http://dx.doi.org/10.1007/s10589-014-9688-2
KOOLIVANDSALOOKI:2017:JPSE Application of Genetic Programing technique for predicting Uniaxial Compressive Strength using reservoir formation properties
MKoolivand-Salooki.html
MEsfandyari.html
ERabbani.html
MKoulivand.html
AAzarmehr.html
http___dx.doi.org_10.1016_j.petrol.2017.09.032 http://dx.doi.org/10.1016/j.petrol.2017.09.032
http___www.sciencedirect.com_science_article_pii_S0920410517307325 http://www.sciencedirect.com/science/article/pii/S0920410517307325
Koos:2009:cec Automatic System Identification Based on Coevolution of Models and Tests
SylvainKoos.html
Jean-BaptisteMouret.html
StephaneDoncieux.html
http___dx.doi.org_10.1109_CEC.2009.4982995 http://dx.doi.org/10.1109/CEC.2009.4982995
KOOSHA:2023:knosys A hierarchical estimation of multi-modal distribution programming for regression problems
MohaddesehKoosha.html
GhazalehKhodabandelou.html
MohammadMehdiEbadzadeh.html
http___dx.doi.org_10.1016_j.knosys.2022.110129 http://dx.doi.org/10.1016/j.knosys.2022.110129
https___www.sciencedirect.com_science_article_pii_S0950705122012254 https://www.sciencedirect.com/science/article/pii/S0950705122012254
TP-2015-146 Evolutionary Dynamic Scripting: Adaptation of Expert Rule Bases for Serious Games
ReinierKop.html
ArmonToubman.html
MarkHoogendoorn.html
JanJorisRoessingh.html
https___reports.nlr.nl_xmlui_bitstream_handle_10921_1010_TP-2015-146.pdf https://reports.nlr.nl/xmlui/bitstream/handle/10921/1010/TP-2015-146.pdf
http___hdl.handle.net_10921_1010 http://hdl.handle.net/10921/1010
DBLP:conf/ieaaie/KopTHR15 Evolutionary Dynamic Scripting: Adaptation of Expert Rule Bases for Serious Games
ReinierKop.html
ArmonToubman.html
MarkHoogendoorn.html
JanJorisRoessingh.html
http___dx.doi.org_10.1007_978-3-319-19066-2_6 http://dx.doi.org/10.1007/978-3-319-19066-2_6
kopito:2023:ECADA MLStar: A System for Synthesis of Machine-Learning Programs
GabrielKopito.html
JonathanSchwartz.html
JulienAmblard.html
RobertFilman.html
LandonRabern.html
http___dx.doi.org_10.1145_3583133.3596367 http://dx.doi.org/10.1145/3583133.3596367
koppen:1996:dixaGP Design of Image Exploring Agent using Genetic Programming
MarioKoppen.html
BertramNickolay.html
http___visionic.fhg.de_ipk_publikationen_pdf_iizuka96.pdf http://visionic.fhg.de/ipk/publikationen/pdf/iizuka96.pdf
http___citeseer.ist.psu.edu_403202.html http://citeseer.ist.psu.edu/403202.html
koppen:1997:dixaGP Design of Image Exploring Agent using Genetic Programming
MarioKoppen.html
BertramNickolay.html
http___visionic.fhg.de_ipk_publikationen_pdf_fss-man.pdf http://visionic.fhg.de/ipk/publikationen/pdf/fss-man.pdf
http___www.sciencedirect.com_science_article_B6V05-3WC46GW-B_2_a294d041720517ba47f780bea637a16a http://www.sciencedirect.com/science/article/B6V05-3WC46GW-B/2/a294d041720517ba47f780bea637a16a
http___www.elsevier.com_locate_fss http://www.elsevier.com/locate/fss
http___dx.doi.org_10.1016_S0165-0114_98_00230-9 http://dx.doi.org/10.1016/S0165-0114(98)00230-9
Kordik:2014:CIEL Building predictive models in two stages with meta-learning templates optimized by genetic programming
PavelKordik.html
JanCerny.html
http___dx.doi.org_10.1109_CIEL.2014.7015740 http://dx.doi.org/10.1109/CIEL.2014.7015740
kordon:2001:gecco Soft Sensor Development Using Genetic Programming
ArthurKKordon.html
GuidoFSmits.html
http___gpbib.cs.ucl.ac.uk_gecco2001_d24.pdf http://gpbib.cs.ucl.ac.uk/gecco2001/d24.pdf
kordon:2002:gecco Accelerating Industrial Fundamental Model Building with Symbolic Regression: A Case Study with Structure-Property Relationships
ArthurKKordon.html
HoangPham.html
CliveBosnyak.html
MarkKotanchek.html
GuidoFSmits.html
kordon:2002:rssboiogpannasvm Robust Soft Sensors Based On Integration of Genetic Programming, Analytical Neural Networks, and Support Vector Machines
ArthurKKordon.html
GuidoFSmits.html
ElsaJordaan.html
EdRightor.html
http___dx.doi.org_10.1109_CEC.2002.1007044 http://dx.doi.org/10.1109/CEC.2002.1007044
Kordon200369 Robust soft sensor development using genetic programming
ArthurKKordon.html
GuidoFSmits.html
AlexNKalos.html
ElsaJordaan.html
http___dx.doi.org_10.1016_S0922-3487_03_23003-3 http://dx.doi.org/10.1016/S0922-3487(03)23003-3
http___www.sciencedirect.com_science_article_B7RNT-4HRP42S-3_2_32d573f0a1b35132e0643d2aa5e7c76d http://www.sciencedirect.com/science/article/B7RNT-4HRP42S-3/2/32d573f0a1b35132e0643d2aa5e7c76d
kordon:2004:srmobfpe Symbolic Regression Modeling of Blown Film Process Effects
ArthurKKordon.html
Ching-TaiLue.html
http___dx.doi.org_10.1109_CEC.2004.1330907 http://dx.doi.org/10.1109/CEC.2004.1330907
kordon:bis:gecco2004 Biomass Inferential Sensor Based on Ensemble of Models Generated by Genetic Programming
ArthurKKordon.html
ElsaJordaan.html
LawrenceChew.html
GuidoFSmits.html
TorbenBruck.html
KeithHaney.html
AnnikaJenings.html
http___dx.doi.org_10.1007_b98645 http://dx.doi.org/10.1007/b98645
kordon:2005:GPTP Application Issues of Genetic Programming in Industry
ArthurKKordon.html
FlorACastillo.html
GuidoFSmits.html
MarkKotanchek.html
http___dx.doi.org_10.1007_0-387-28111-8_16 http://dx.doi.org/10.1007/0-387-28111-8_16
Kordon:2006:CEC Future Trends in Soft Computing Industrial Applications
ArthurKKordon.html
http___dx.doi.org_10.1109_FUZZY.2006.1681930 http://dx.doi.org/10.1109/FUZZY.2006.1681930
Kordon:2006:sigevo Evolutionary Computation at Dow Chemical
ArthurKKordon.html
http___www.sigevolution.org_2006_03_issue.pdf http://www.sigevolution.org/2006/03/issue.pdf
http___dx.doi.org_10.1145_1181964.1181965 http://dx.doi.org/10.1145/1181964.1181965
Kordon:2008:ECP Evolutionary Computation in the Chemical Industry
ArthurKKordon.html
http___dx.doi.org_10.1007_978-3-540-75771-9_11 http://dx.doi.org/10.1007/978-3-540-75771-9_11
Kordon:2009:sigevo Computational Intelligence Marketing
ArthurKKordon.html
http___www.sigevolution.org_issues_pdf_SIGEVOlution200901.pdf http://www.sigevolution.org/issues/pdf/SIGEVOlution200901.pdf
Kordon:book Applying Computational Intelligence How to Create Value
ArthurKKordon.html
http___www.springer.com_engineering_book_978-3-540-69910-1 http://www.springer.com/engineering/book/978-3-540-69910-1
http___dx.doi.org_10.1007_978-3-540-69913-2 http://dx.doi.org/10.1007/978-3-540-69913-2
Kordon:2009a:sigevo Issues in Applying Computational Intelligence
ArthurKKordon.html
http___www.sigevolution.org_issues_pdf_SIGEVOlution200903.pdf http://www.sigevolution.org/issues/pdf/SIGEVOlution200903.pdf
Kordon:2010:cec Marketing computational intelligence in industry
ArthurKKordon.html
http___dx.doi.org_10.1109_CEC.2010.5586356 http://dx.doi.org/10.1109/CEC.2010.5586356
Kordon:2012:IS Applying Intelligent Systems in Industry: A Realistic Overview
ArthurKKordon.html
http___dx.doi.org_10.1109_IS.2012.6335108 http://dx.doi.org/10.1109/IS.2012.6335108
Kordon:2013:GPTP Applying Genetic Programming in Business Forecasting
ArthurKKordon.html
http___dx.doi.org_10.1007_978-1-4939-0375-7_6 http://dx.doi.org/10.1007/978-1-4939-0375-7_6
Kordon:2019:GPTP How Competitive Is Genetic Programming in Business Data Science Applications?
ArthurKKordon.html
TheresaKotanchek.html
MarkKotanchek.html
http___dx.doi.org_10.1007_978-3-030-39958-0_8 http://dx.doi.org/10.1007/978-3-030-39958-0_8
Kordon:2021:RAIEIBG Practical Issues in Human and Artificial Intelligence Interaction
ArthurKKordon.html
http___dx.doi.org_10.4018_978-1-7998-4285-9.ch003 http://dx.doi.org/10.4018/978-1-7998-4285-9.ch003
korkmaz:2001:gecco Controlling the Genetic Programming Search
ErkanKorkmaz.html
GokturkUcoluk.html
http___gpbib.cs.ucl.ac.uk_gecco2001_d02.pdf http://gpbib.cs.ucl.ac.uk/gecco2001/d02.pdf
korkmaz:2001:gpgi Genetic Programming for Grammar Induction
ErkanKorkmaz.html
GokturkUcoluk.html
http___www.ceng.metu.edu.tr__korkmaz_publication_latebreaking.ps http://www.ceng.metu.edu.tr/~korkmaz/publication/latebreaking.ps
http___citeseer.ist.psu.edu_451812.html http://citeseer.ist.psu.edu/451812.html
korkmaz:2002:gecco Controlling The Genetic Programming Search
ErkanKorkmaz.html
GokturkUcoluk.html
http___gpbib.cs.ucl.ac.uk_gecco2002_gp045.ps http://gpbib.cs.ucl.ac.uk/gecco2002/gp045.ps
http___gpbib.cs.ucl.ac.uk_gecco2002_gp045.pdf http://gpbib.cs.ucl.ac.uk/gecco2002/gp045.pdf
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_gecco2002_gecco-2002-15.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/gecco2002/gecco-2002-15.pdf
erkan:2002:gecco:lbp Controlled Genetic Programming Search for Solving Deceptive Problems
ErkanKorkmaz.html
GokturkUcoluk.html
korkmaz:thesis Controlled Genetic Programming Search for Solving Deceptive Problems
ErkanKorkmaz.html
http___www.cpsc.ucalgary.ca__korkmaze_publication_tezphd.ps.gz http://www.cpsc.ucalgary.ca/~korkmaze/publication/tezphd.ps.gz
korkmaz:2003:ISCIS Design and Usage of a New Benchmark Problem for Genetic Programming
ErkanKorkmaz.html
GokturkUcoluk.html
http___cse.yeditepe.edu.tr__ekorkmaz_publication_benchmark.ps http://cse.yeditepe.edu.tr/~ekorkmaz/publication/benchmark.ps
http___dx.doi.org_10.1007_b14229 http://dx.doi.org/10.1007/b14229
korkmaz:cgpa A Controlled Genetic Programming Approach for the Deceptive Domain
ErkanKorkmaz.html
GokturkUcoluk.html
http___cse.yeditepe.edu.tr__ekorkmaz_publication_IEEE2002.ps http://cse.yeditepe.edu.tr/~ekorkmaz/publication/IEEE2002.ps
http___dx.doi.org_10.1109_TSMCB.2004.828590 http://dx.doi.org/10.1109/TSMCB.2004.828590
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.147.2543 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.147.2543
http___www.ceng.metu.edu.tr__ucoluk_research_publications_controledGP.pdf http://www.ceng.metu.edu.tr/~ucoluk/research/publications/controledGP.pdf
Korkontzelos:2015:AIM Boosting drug named entity recognition using an aggregate classifier
IoannisKorkontzelos.html
DimitriosPiliouras.html
AndrewDowsey.html
SophiaAnaniadou.html
http___dx.doi.org_10.1016_j.artmed.2015.05.007 http://dx.doi.org/10.1016/j.artmed.2015.05.007
http___www.sciencedirect.com_science_article_pii_S0933365715000780 http://www.sciencedirect.com/science/article/pii/S0933365715000780
Kornienko:2007:cec From Real Robot Swarm to Evolutionary Multi-Robot Organism
SergeyKornienko.html
OKornienko.html
ANagarathinam.html
PLevi.html
http___dx.doi.org_10.1109_CEC.2007.4424647 http://dx.doi.org/10.1109/CEC.2007.4424647
Korns:2006:GPTP Large-Scale, Time-Constrained Symbolic Regression
MichaelKorns.html
http___dx.doi.org_10.1007_978-0-387-49650-4_18 http://dx.doi.org/10.1007/978-0-387-49650-4_18
Korns:2007:GPTP Large-Scale, Time-Constrained Symbolic Regression-Classification
MichaelKorns.html
http___dx.doi.org_10.1007_978-0-387-76308-8_4 http://dx.doi.org/10.1007/978-0-387-76308-8_4
Korns:2008:GPTP Profiling Symbolic Regression-Classification
MichaelKorns.html
LoryfelNunez.html
http___dx.doi.org_10.1007_978-0-387-87623-8_14 http://dx.doi.org/10.1007/978-0-387-87623-8_14
Korns:2009:GEC Symbolic regression using abstract expression grammars
MichaelKorns.html
http___dx.doi.org_10.1145_1543834.1543960 http://dx.doi.org/10.1145/1543834.1543960
DBLP:conf/gecco/Korns09a Mutation and crossover with abstract expression grammars
MichaelKorns.html
http___dx.doi.org_10.1145_1570256.1570308 http://dx.doi.org/10.1145/1570256.1570308
Korns:2009:GPTP Symbolic Regression of Conditional Target Expressions
MichaelKorns.html
http___dx.doi.org_10.1007_978-1-4419-1626-6_13 http://dx.doi.org/10.1007/978-1-4419-1626-6_13
Korns:2010:GPTP Abstract Expression Grammar Symbolic Regression
MichaelKorns.html
http___www.springer.com_computer_ai_book_978-1-4419-7746-5 http://www.springer.com/computer/ai/book/978-1-4419-7746-5
http___dx.doi.org_10.1007_978-1-4419-7747-2_7 http://dx.doi.org/10.1007/978-1-4419-7747-2_7
Korns:2011:GPTP Accuracy in Symbolic Regression
MichaelKorns.html
http___dx.doi.org_10.1007_978-1-4614-1770-5_8 http://dx.doi.org/10.1007/978-1-4614-1770-5_8
Korns:2012:GPTP A Baseline Symbolic Regression Algorithm
MichaelKorns.html
http___dx.doi.org_10.1007_978-1-4614-6846-2_9 http://dx.doi.org/10.1007/978-1-4614-6846-2_9
http___dx.doi.org_10.1007_978-1-4614-6846-2_9 http://dx.doi.org/10.1007/978-1-4614-6846-2_9
Korns:2013:GPTP Extreme Accuracy in Symbolic Regression
MichaelKorns.html
http___dx.doi.org_10.1007_978-1-4939-0375-7_1 http://dx.doi.org/10.1007/978-1-4939-0375-7_1
Korns:2014:GPTP Extremely Accurate Symbolic Regression for Large Feature Problems
MichaelKorns.html
http___dx.doi.org_10.1007_978-3-319-16030-6_7 http://dx.doi.org/10.1007/978-3-319-16030-6_7
Korns:2015:GPTP Highly Accurate Symbolic Regression with Noisy Training Data
MichaelKorns.html
http___www.springer.com_us_book_9783319342214 http://www.springer.com/us/book/9783319342214
http___dx.doi.org_10.1007_978-3-319-34223-8_6 http://dx.doi.org/10.1007/978-3-319-34223-8_6
Korns:2015:hbgpa Trading Volatility Using Highly Accurate Symbolic Regression
MichaelKorns.html
http___dx.doi.org_10.1007_978-3-319-20883-1_21 http://dx.doi.org/10.1007/978-3-319-20883-1_21
Korns:2016:GPTP An Evolutionary Algorithm for Big Data Multi-class Classification Problems
MichaelKorns.html
https___www.springer.com_us_book_9783319970875 https://www.springer.com/us/book/9783319970875
http___dx.doi.org_10.1007_978-3-319-97088-2_11 http://dx.doi.org/10.1007/978-3-319-97088-2_11
Korns:2017:GPTP Genetic Programming Symbolic Classification: A Study
MichaelKorns.html
https___link.springer.com_chapter_10.1007_978-3-319-90512-9_3 https://link.springer.com/chapter/10.1007/978-3-319-90512-9_3
http___dx.doi.org_10.1007_978-3-319-90512-9_3 http://dx.doi.org/10.1007/978-3-319-90512-9_3
Korns:2017:GECCO Evolutionary Linear Discriminant Analysis for Multiclass Classification Problems
MichaelKorns.html
http___doi.acm.org_10.1145_3067695.3075964 http://doi.acm.org/10.1145/3067695.3075964
http___dx.doi.org_10.1145_3067695.3075964 http://dx.doi.org/10.1145/3067695.3075964
korns:2018:GPTP Strong Typing, Swarm Enhancement, and Deep Learning Feature Selection in the Pursuit of Symbolic Regression-Classification
MichaelKorns.html
TimMay.html
http___link.springer.com_chapter_10.1007_978-3-030-04735-1_4 http://link.springer.com/chapter/10.1007/978-3-030-04735-1_4
http___dx.doi.org_10.1007_978-3-030-04735-1_4 http://dx.doi.org/10.1007/978-3-030-04735-1_4
Korns:2021:GPTP Feature Discovery with Deep Learning Algebra Networks
MichaelKorns.html
http___dx.doi.org_10.1007_978-981-16-8113-4_6 http://dx.doi.org/10.1007/978-981-16-8113-4_6
Korolev:2007:ARC On Evolutionary Algorithms, Neural-Network Computations, and Genetic Programming. Mathematical Problems
LNKorolev.html
http___dx.doi.org_10.1134_S0005117907050086 http://dx.doi.org/10.1134/S0005117907050086
Korra:2010:ICGEC Object Categorization Using Genetic Programming
JyothiKorra.html
VSusheelaDevi.html
http___dx.doi.org_10.1109_ICGEC.2010.80 http://dx.doi.org/10.1109/ICGEC.2010.80
Korra:2016:ArXiv Finding Optimal Combination of Kernels using Genetic Programming
JyothiKorra.html
http___arxiv.org_abs_1604.02376 http://arxiv.org/abs/1604.02376
Koryakin:2021:GPEM Inference of time series components by online co-evolution
DanilKoryakin.html
SebastianOtte.html
MartinVButz.html
https___rdcu.be_cpKz0 https://rdcu.be/cpKz0
http___dx.doi.org_10.1007_s10710-021-09408-6 http://dx.doi.org/10.1007/s10710-021-09408-6
kosasaeng:2022:Sustainability Extracting Optimal Operation Rule Curves of Multi-Reservoir System Using Atom Search Optimization, Genetic Programming and Wind Driven Optimization
SuwapatKosasaeng.html
NiratYamoat.html
SeyedMohammadAshrafi.html
AnongritKangrang.html
https___www.mdpi.com_2071-1050_14_23_16205 https://www.mdpi.com/2071-1050/14/23/16205
http___dx.doi.org_10.3390_su142316205 http://dx.doi.org/10.3390/su142316205
Kose2010315 Modeling of transfer length of prestressing strands using genetic programming and neuro-fuzzy
MehmetMetinKose.html
CaferKayadelen.html
http___dx.doi.org_10.1016_j.advengsoft.2009.06.013 http://dx.doi.org/10.1016/j.advengsoft.2009.06.013
http___www.sciencedirect.com_science_article_B6V1P-4WW7NKX-3_2_cf26e3a1767d18f4b3a93895ab93d7e8 http://www.sciencedirect.com/science/article/B6V1P-4WW7NKX-3/2/cf26e3a1767d18f4b3a93895ab93d7e8
Kose:2013:SEM Effects of infill walls on RC buildings under time history loading using genetic programming and neuro-fuzzy
MehmetMetinKose.html
CaferKayadelen.html
http___www.techno-press.org_content__page_article_journal_sem_volume_47_num_3_ordernum_6 http://www.techno-press.org/content/?page=article&journal=sem&volume=47&num=3&ordernum=6
http___koreascience.or.kr_article_JAKO201332251648087.page http://koreascience.or.kr/article/JAKO201332251648087.page
http___dx.doi.org_10.12989_sem.2013.47.3.401 http://dx.doi.org/10.12989/sem.2013.47.3.401
DBLP:journals/elektrik/KosemenDA18 Genetic programming-based pseudorandom number generator for wireless identification and sensing platform
CemKosemen.html
GokhanDalkilic.html
OmerAydin.html
https___doi.org_10.3906_elk-1710-155 https://doi.org/10.3906/elk-1710-155
http___dx.doi.org_10.3906_elk-1710-155 http://dx.doi.org/10.3906/elk-1710-155
https___dblp.org_rec_journals_elektrik_KosemenDA18.bib https://dblp.org/rec/journals/elektrik/KosemenDA18.bib
Koshiyama:2013:CEC GPF-CLASS: A Genetic Fuzzy Model for Classification
AdrianoSoaresKoshiyama.html
TatianaEscovedo.html
DouglasMotaDias.html
MarleyMariaBernardesRebuzziVellasco.html
RicardoTanscheit.html
http___dx.doi.org_10.1109_CEC.2013.6557971 http://dx.doi.org/10.1109/CEC.2013.6557971
Koshiyama:2013:GECCOcomp Numerical optimization by multi-gene genetic programming
AdrianoSoaresKoshiyama.html
DouglasMotaDias.html
AndreVargasAbsdaCruz.html
MarcoAurelioCavalcantiPacheco.html
http___dx.doi.org_10.1145_2464576.2464651 http://dx.doi.org/10.1145/2464576.2464651
Koshiyama:2014:FUZZ-IEEE GPFIS-Control: A fuzzy Genetic model for Control tasks
AdrianoSoaresKoshiyama.html
TatianaEscovedo.html
MarleyMariaBernardesRebuzziVellasco.html
RicardoTanscheit.html
http___dx.doi.org_10.1109_FUZZ-IEEE.2014.6891733 http://dx.doi.org/10.1109/FUZZ-IEEE.2014.6891733
Koshiyama:2015:FUZZ-IEEE Development of a fuzzy rule-based system using Genetic Programming for Forecasting problems
AdrianoSoaresKoshiyama.html
MarleyMariaBernardesRebuzziVellasco.html
RicardoTanscheit.html
http___dx.doi.org_10.1109_FUZZ-IEEE.2015.7338037 http://dx.doi.org/10.1109/FUZZ-IEEE.2015.7338037
Koshiyama:2015:ASC GPFIS-CLASS: A Genetic Fuzzy System based on Genetic Programming for classification problems
AdrianoSoaresKoshiyama.html
MarleyMariaBernardesRebuzziVellasco.html
RicardoTanscheit.html
http___dx.doi.org_10.1016_j.asoc.2015.08.055 http://dx.doi.org/10.1016/j.asoc.2015.08.055
http___www.sciencedirect.com_science_article_pii_S1568494615005670 http://www.sciencedirect.com/science/article/pii/S1568494615005670
conf/eusflat/KoshiyamaVT15 A Multi-gene Genetic Programming Fuzzy Inference System for Regression Problems
AdrianoSoaresKoshiyama.html
MarleyMariaBernardesRebuzziVellasco.html
RicardoTanscheit.html
http___www.atlantis-press.com_php_download_paper.php_id_23616 http://www.atlantis-press.com/php/download_paper.php?id=23616
http___dx.doi.org_10.2991_ifsa-eusflat-15.2015.105 http://dx.doi.org/10.2991/ifsa-eusflat-15.2015.105
DBLP:journals/widm/KoshiyamaTV19 Automatic synthesis of fuzzy systems: An evolutionary overview with a genetic programming perspective
AdrianoSoaresKoshiyama.html
RicardoTanscheit.html
MarleyMariaBernardesRebuzziVellasco.html
https___doi.org_10.1002_widm.1251 https://doi.org/10.1002/widm.1251
http___dx.doi.org_10.1002_widm.1251 http://dx.doi.org/10.1002/widm.1251
https___dblp.org_rec_journals_widm_KoshiyamaTV19.bib https://dblp.org/rec/journals/widm/KoshiyamaTV19.bib
kostikas:2004:eurogp Genetic Programming Applied to Mixed Integer Programming
KonstantinosKostikas.html
CharalambosFragakis.html
http___users.auth.gr__kostikas_fkkeurogp.pdf http://users.auth.gr/~kostikas/fkkeurogp.pdf
http___dx.doi.org_10.1007_978-3-540-24650-3_11 http://dx.doi.org/10.1007/978-3-540-24650-3_11
kostikas:2004:lbp Genetic Programming for Guiding Branch and Bound Search
KonstantinosKostikas.html
CharalambosFragakis.html
http___gpbib.cs.ucl.ac.uk_gecco2004_LBP045.pdf http://gpbib.cs.ucl.ac.uk/gecco2004/LBP045.pdf
kotancheck:2002:gecco Evolutionary Computing in Dow Chemical
MarkKotanchek.html
ArthurKKordon.html
GuidoFSmits.html
FlorACastillo.html
RPell.html
MBSeasholtz.html
LeoChiang.html
PMargl.html
PeterKipMercure.html
AlexNKalos.html
kotanchek:2003:GPTP Industrial Strength Genetic Programming
MarkKotanchek.html
GuidoFSmits.html
ArthurKKordon.html
http___www.springer.com_computer_ai_book_978-1-4020-7581-0 http://www.springer.com/computer/ai/book/978-1-4020-7581-0
http___www.evolved-analytics.com_..._GPTP03_IndustrialGP_Preprint.pdf http://www.evolved-analytics.com/.../GPTP03_IndustrialGP_Preprint.pdf
http___dx.doi.org_10.1007_978-1-4419-8983-3_15 http://dx.doi.org/10.1007/978-1-4419-8983-3_15
Kotanchek:2006:GPTP Pursuing the Pareto Paradigm Tournaments, Algorithm Variations \& Ordinal Optimization
MarkKotanchek.html
GuidoFSmits.html
Ekaterina_Katya_Vladislavleva.html
http___dx.doi.org_10.1007_978-0-387-49650-4_11 http://dx.doi.org/10.1007/978-0-387-49650-4_11
Kotanchek:2007:GPTP Trustable symbolic regression models: using ensembles, interval arithmetic and Pareto fronts to develop robust and trust-aware models
MarkKotanchek.html
GuidoFSmits.html
Ekaterina_Katya_Vladislavleva.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.457.5272 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.457.5272
http___www.evolved-analytics.com_sites_EA_Documents_Publications_GPTP07_GPTP07_TrustableModels_Preprint.pdf http://www.evolved-analytics.com/sites/EA_Documents/Publications/GPTP07/GPTP07_TrustableModels_Preprint.pdf
http___dx.doi.org_10.1007_978-0-387-76308-8_12 http://dx.doi.org/10.1007/978-0-387-76308-8_12
Kotanchek:2008:GPTP Exploiting Trustable Models via Pareto GP for Targeted Data Collection
MarkKotanchek.html
GuidoFSmits.html
Ekaterina_Katya_Vladislavleva.html
http___dx.doi.org_10.1007_978-0-387-87623-8_10 http://dx.doi.org/10.1007/978-0-387-87623-8_10
Kotanchek:2009:GPTP Symbolic Regression via GP as a Discovery Engine: Insights on Outliers and Prototypes
MarkKotanchek.html
Ekaterina_Katya_Vladislavleva.html
GuidoFSmits.html
http___dx.doi.org_10.1007_978-1-4419-1626-6_4 http://dx.doi.org/10.1007/978-1-4419-1626-6_4
Kotanchek:2012:GPTP Symbolic Regression Is Not Enough: It Takes a Village to Raise a Model
MarkKotanchek.html
Ekaterina_Katya_Vladislavleva.html
GuidoFSmits.html
http___dx.doi.org_10.1007_978-1-4614-6846-2_13 http://dx.doi.org/10.1007/978-1-4614-6846-2_13
http___dx.doi.org_10.1007_978-1-4614-6846-2_13 http://dx.doi.org/10.1007/978-1-4614-6846-2_13
Kotanchek:2012:GECCOcomp Real-world data modeling
MarkKotanchek.html
http___dx.doi.org_10.1145_2330784.2330944 http://dx.doi.org/10.1145/2330784.2330944
Kotanchek:2021:GPTP Back to the Future: Revisiting OrdinalGP and Trustable Models after a Decade
MarkKotanchek.html
NathanielHaut.html
http___dx.doi.org_10.1007_978-981-16-8113-4_7 http://dx.doi.org/10.1007/978-981-16-8113-4_7
Kotanchek:2022:GPTP Biological Strategies ParetoGP Enables Analysis of Wide and Ill-Conditioned Data from Nonlinear Systems
MarkKotanchek.html
TheresaKotanchek.html
KelvinKotanchek.html
http___dx.doi.org_10.1007_978-981-19-8460-0_5 http://dx.doi.org/10.1007/978-981-19-8460-0_5
kotani:2004:feucgp Feature Extraction Using Coevolutionary Genetic Programming
ManabuKotani.html
DaisukeKato.html
http___dx.doi.org_10.1109_CEC.2004.1330914 http://dx.doi.org/10.1109/CEC.2004.1330914
Kotecha:2011:NUiCONE An empirical analysis of multiclass classification techniques in data mining
RadhikaNKotecha.html
VijayUkani.html
SanjayGarg.html
http___dx.doi.org_10.1109_NUiConE.2011.6153244 http://dx.doi.org/10.1109/NUiConE.2011.6153244
journals/ijkesdp/KotechaG16 Genetic programming-based evolution of classification trees for decision support in banking sector
RadhikaNKotecha.html
SanjayGarg.html
http___dx.doi.org_10.1504_IJKESDP.2016.10004137 http://dx.doi.org/10.1504/IJKESDP.2016.10004137
Kotyrba:2011:3PGCIC Time Series Pattern Recognition via SoftComputing
MartinKotyrba.html
ZuzanaOplatkova.html
EvaVolna.html
RomanSenkerik.html
VaclavKocian.html
MichalJanosek.html
http___dx.doi.org_10.1109_3PGCIC.2011.72 http://dx.doi.org/10.1109/3PGCIC.2011.72
Kou:2016:IWESEP A Capable Crossover Technique on Automatic Program Repair
RyotaroKou.html
YoshikiHigo.html
ShinjiKusumoto.html
http___dx.doi.org_10.1109_IWESEP.2016.15 http://dx.doi.org/10.1109/IWESEP.2016.15
Kouchakpour:2007:IS Population variation in genetic programming
PeymanKouchakpour.html
AnthonyZaknich.html
ThomasBraunl.html
http___dx.doi.org_10.1016_j.ins.2007.02.032 http://dx.doi.org/10.1016/j.ins.2007.02.032
Kouchakpour:thesis Population Variation in Canonical Tree-based Genetic Programming
PeymanKouchakpour.html
http___robotics.ee.uwa.edu.au_theses_2008-Genetic-Kouchakpour-PhD.pdf http://robotics.ee.uwa.edu.au/theses/2008-Genetic-Kouchakpour-PhD.pdf
https___research-repository.uwa.edu.au_en_publications_population-variation-in-canonical-tree-based-genetics-programming https://research-repository.uwa.edu.au/en/publications/population-variation-in-canonical-tree-based-genetics-programming
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.205.9061 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.205.9061
Kouchakpour2008 Dynamic Population Variation in Genetic Programming
PeymanKouchakpour.html
AnthonyZaknich.html
ThomasBraunl.html
http___www.sciencedirect.com_science_article_B6V0C-4V7647M-2_2_7260de43f34e6b9e878cb068373a639f http://www.sciencedirect.com/science/article/B6V0C-4V7647M-2/2/7260de43f34e6b9e878cb068373a639f
http___dx.doi.org_10.1016_j.ins.2008.12.009 http://dx.doi.org/10.1016/j.ins.2008.12.009
journals/kais/KouchakpourZB09 A survey and taxonomy of performance improvement of canonical genetic programming
PeymanKouchakpour.html
AnthonyZaknich.html
ThomasBraunl.html
http___dx.doi.org_10.1007_s10115-008-0184-9 http://dx.doi.org/10.1007/s10115-008-0184-9
Koutnik:2009:MENDEL Structure Aware Two Point Crossover for Grammatical Evolution
JanKoutnik.html
JiriKubalik.html
kovacevic:2022:Materials Application of Artificial Intelligence Methods for Predicting the Compressive Strength of Self-Compacting Concrete with Class F Fly Ash
MiljanKovacevic.html
SilvaLozancic.html
EmmanuelKarloNyarko.html
MarijanaHadzima-Nyarko.html
https___www.mdpi.com_1996-1944_15_12_4191 https://www.mdpi.com/1996-1944/15/12/4191
http___dx.doi.org_10.3390_ma15124191 http://dx.doi.org/10.3390/ma15124191
kovacevic:2020:Mathematics From Grammar Inference to Semantic Inference--An Evolutionary Approach
ZeljkoKovacevic.html
MarjanMernik.html
MihaRavber.html
MatejCrepinsek.html
https___www.mdpi.com_2227-7390_8_5_816 https://www.mdpi.com/2227-7390/8/5/816
http___dx.doi.org_10.3390_math8050816 http://dx.doi.org/10.3390/math8050816
KOVACEVIC:2022:cola Automatic compiler/interpreter generation from programs for Domain-Specific Languages: Code bloat problem and performance improvement
ZeljkoKovacevic.html
MihaRavber.html
Shih-HsiLiu.html
MatejCrepinsek.html
http___dx.doi.org_10.1016_j.cola.2022.101105 http://dx.doi.org/10.1016/j.cola.2022.101105
https___www.sciencedirect.com_science_article_pii_S2590118422000132 https://www.sciencedirect.com/science/article/pii/S2590118422000132
Kovach:2015:IJMNTA The Computational Theory of Intelligence: Applications to Genetic Programming and Turing Machines
DanielKovach.html
https___www.scirp.org_pdf_IJMNTA_2015021610450350.pdf https://www.scirp.org/pdf/IJMNTA_2015021610450350.pdf
http___dx.doi.org_10.4236_ijmnta.2015.41002 http://dx.doi.org/10.4236/ijmnta.2015.41002
Kovacic:2001:DAAAM Evolutionary transport system
MihaKovacic.html
MiranBrezocnik.html
Kovacic:2001:AMME Genetic algorithm method for cutting optimisation of Monel alloy
MihaKovacic.html
JozeBalic.html
Kovacic:2002:DAAAM1 Genetic programming approach for surface quality prediction
MihaKovacic.html
MiranBrezocnik.html
http___www.sfsb.hr_atdc2002_atdc2002.html http://www.sfsb.hr/atdc2002/atdc2002.html
Kovacic:2002:DAAAM Model of evolutionary transport system
MihaKovacic.html
MiranBrezocnik.html
Kovacic:2003:IJAMT Evolutionary programming of a CNC cutting machine
MihaKovacic.html
JozeBalic.html
http___dx.doi.org_10.1007_s00170-002-1450-8 http://dx.doi.org/10.1007/s00170-002-1450-8
Kovacic:2003:DAAAM1 Genetic programming approach for cutting forces prediction in milling
MihaKovacic.html
MiranBrezocnik.html
Kovacic:2003:DAAAM Evolutionary method for surface quality prediction
MihaKovacic.html
MiranBrezocnik.html
Kovacic:2003:TR Genetic programming approach for surface quality prediction
MihaKovacic.html
MiranBrezocnik.html
Kovacic:2003:ICIT Genetic programming approach for surface quality prediction of monel alloy
MihaKovacic.html
MiranBrezocnik.html
JozeBalic.html
Kovacic:2003:DAAAMb Evolutionary computation approach for autonomous vehicles
MihaKovacic.html
MiranBrezocnik.html
Kovacic:2003:IS Genetic programming planner for mobile robots
MihaKovacic.html
MiranBrezocnik.html
Kovacic:2004:MIPRO Evolution and transport systems
MihaKovacic.html
MiranBrezocnik.html
Kovacic:2004:FAIM Evolutionary approach to manufacturing control
MihaKovacic.html
JozeBalic.html
MiranBrezocnik.html
Kovacic:2004:DAAAM Evolutionary cutting forces prediction
MihaKovacic.html
MiranBrezocnik.html
JozeBalic.html
Kovacic:2004:DMRS Programming of CNC lathe with GA
MihaKovacic.html
MiranBrezocnik.html
Kovacic:2004:JMPT Evolutionary approach for cutting forces prediction in milling
MihaKovacic.html
JozeBalic.html
MiranBrezocnik.html
http___www.sciencedirect.com_science_article_B6TGJ-4CHS1T2-9_2_ca7fc5b9431830386384db78e7ee233a http://www.sciencedirect.com/science/article/B6TGJ-4CHS1T2-9/2/ca7fc5b9431830386384db78e7ee233a
http___dx.doi.org_10.1016_j.jmatprotec.2004.04.318 http://dx.doi.org/10.1016/j.jmatprotec.2004.04.318
Kovacic:2005:DAAAM NC Machine tools and genetics
MihaKovacic.html
BostjanVaupotic.html
JozeBalic.html
kovacic:2005:JMPT Evolutionary programming of CNC machines
MihaKovacic.html
MiranBrezocnik.html
IvoPahole.html
JozeBalic.html
BorutKecelj.html
http___dx.doi.org_10.1016_j.jmatprotec.2005.02.047 http://dx.doi.org/10.1016/j.jmatprotec.2005.02.047
kovacic:2005:MMP Modeling of Hot Yield Stress Curves for Carbon Silicon Steel by Genetic Programming
MihaKovacic.html
MiranBrezocnik.html
RadomirTurk.html
http___taylorandfrancis.metapress.com_openurl.asp_genre_article_eissn_1532-2475_volume_20_issue_3_spage_543 http://taylorandfrancis.metapress.com/openurl.asp?genre=article&eissn=1532-2475&volume=20&issue=3&spage=543
http___dx.doi.org_10.1081_AMP-200053572 http://dx.doi.org/10.1081/AMP-200053572
Kovacic:2007:MMP Prediction of the Bending Capability of Rolled Metal Sheet by Genetic Programming
MihaKovacic.html
PeterUratnik.html
MiranBrezocnik.html
RadomirTurk.html
http___dx.doi.org_10.1080_10426910701323326 http://dx.doi.org/10.1080/10426910701323326
Kovacic:2008:ICHT+SETD Genetic Programming and Jominy Test
MihaKovacic.html
http___ctklj.ctk.uni-lj.si_kovine_mit_izvlecki-bled.pdf http://ctklj.ctk.uni-lj.si/kovine/mit/izvlecki-bled.pdf
Kovacic:2009:MMP Application of the Genetic Programming for Increasing the Soft Annealing Productivity in Steel Industry
MihaKovacic.html
BozidarSarler.html
http___dx.doi.org_10.1080_10426910802679634 http://dx.doi.org/10.1080/10426910802679634
Kovacic:2009:RMZ Crack presence modeling after rolling by genetic programming
MihaKovacic.html
KatjaMackosek.html
AndrejMihevc.html
TomazMarolt.html
http___www.rmz-mg.com_ENG_1.htm http://www.rmz-mg.com/ENG_1.htm
http___www.rmz-mg.com_letniki_rmz56_RMZ56_0024-0029.pdf http://www.rmz-mg.com/letniki/rmz56/RMZ56_0024-0029.pdf
Kovacic:2009:MMP2 Genetic Programming and Jominy Test Modeling
MihaKovacic.html
http___dx.doi.org_10.1080_10426910902841050 http://dx.doi.org/10.1080/10426910902841050
Kovacic:2009:QUALITY Extra Machinability Quality Prediction
MihaKovacic.html
MatejPsenicnik.html
http___www.quality.unze.ba_zbornici_QUALITY_202009_078-Q09-055.pdf http://www.quality.unze.ba/zbornici/QUALITY%202009/078-Q09-055.pdf
Kovacic:2009b:RMZ Extra machinability modeling
MihaKovacic.html
MatejPsenicnik.html
http___www.rmz-mg.com_letniki_rmz56_RMZ56_3.pdf http://www.rmz-mg.com/letniki/rmz56/RMZ56_3.pdf
Kovacic:2010:RMZ Critical inclusion size in spring steel and genetic programming
MihaKovacic.html
SandraSencic.html
http___www.rmz-mg.com_letniki_rmz57_RMZ57_1.pdf http://www.rmz-mg.com/letniki/rmz57/RMZ57_1.pdf
http___www.dlib.si_details_URN_NBN_SI_DOC-LJHPFTQW__language_eng_query__27rele_253dRMZ-materials_2band_2bgeoenvironment_27_fyear_2010_pageSize_100_page_1 http://www.dlib.si/details/URN:NBN:SI:DOC-LJHPFTQW/?language=eng&query=%27rele%253dRMZ-materials%2band%2bgeoenvironment%27&fyear=2010&pageSize=100&page=1
Kovacic:2010b:RMZ Hardenability modeling
MihaKovacic.html
http___www.rmz-mg.com_letniki_rmz57_RMZ57_2.pdf http://www.rmz-mg.com/letniki/rmz57/RMZ57_2.pdf
Kovacic:2010:IMT Genetic programming and soft annealing productivity
MihaKovacic.html
BozidarSarler.html
Kovacic:2011:KomPlasTech Genetic programming modeling of the critical size of inclusions
MihaKovacic.html
BozidarSarler.html
kova11gene Genetic programming modeling of the critical size of inclusions
MihaKovacic.html
BozidarSarler.html
http___www.cmms.agh.edu.pl_abstract.php_p_id_310 http://www.cmms.agh.edu.pl/abstract.php?p_id=310
Kovacic:2011:RMZ Soft annealing productivity optimization
MihaKovacic.html
BozidarSarler.html
http___www.rmz-mg.com_letniki_rmz58_RMZ58_0029-0038.pdf http://www.rmz-mg.com/letniki/rmz58/RMZ58_0029-0038.pdf
Kovacic:2011:MTAEC9 Genetic Programming and Soft-Annealing Productivity
MihaKovacic.html
BozidarSarler.html
http___mit.imt.si_Revija_izvodi_mit115_kovacic.htm http://mit.imt.si/Revija/izvodi/mit115/kovacic.htm
http___mit.imt.si_Revija_izvodi_mit115_kovacic.pdf http://mit.imt.si/Revija/izvodi/mit115/kovacic.pdf
Kovacic:2011:QUALITY Modeling of Cracks Presence in Steel After Hot Rolling
MihaKovacic.html
KatjaMackosek.html
AndrejMihevc.html
TomazMarolt.html
http___www.quality.unze.ba_zbornici_QUALITY_202011_095-Q11-038.pdf http://www.quality.unze.ba/zbornici/QUALITY%202011/095-Q11-038.pdf
Kovacic:2011:imt Modeling of PM10 Emission near the Steel Plant area in Slovenia with Genetic Programming
MihaKovacic.html
SandraSencic.html
http___konferenca2011.imt.si_fileadmin_dokumenti_IMT_KONFERENCA_-_abstracti_Sencic_S.pdf http://konferenca2011.imt.si/fileadmin/dokumenti/IMT/KONFERENCA_-_abstracti/Sencic_S.pdf
http___konferenca2011.imt.si_fileadmin_dokumenti_IMT_KONFERENCA_-_abstracti_Book_of_Abstracts_Protoroz_2011.pdf http://konferenca2011.imt.si/fileadmin/dokumenti/IMT/KONFERENCA_-_abstracti/Book_of_Abstracts_Protoroz_2011.pdf
Kovacic:2012:MT Modeling of PM10 emission with genetic programming
MihaKovacic.html
SandraSencic.html
http___mit.imt.si_Revija_izvodi_mit125_kovacic.pdf http://mit.imt.si/Revija/izvodi/mit125/kovacic.pdf
http___mit.imt.si_Revija_izvodi_mit125_kovacic.htm http://mit.imt.si/Revija/izvodi/mit125/kovacic.htm
Kovacic:2012:IMT Model of Ladle Nozzle Opening based on Genetic Programming
MihaKovacic.html
BenoJurjovec.html
LukaKrajnc.html
http___konferenca2012.imt.si_fileadmin_dokumenti_20.konferenca_Book_of_abstracts.pdf http://konferenca2012.imt.si/fileadmin/dokumenti/20.konferenca/Book_of_abstracts.pdf
Kovacic:2013:KomPlasTech Ladle nozzle opening and genetic programming
MihaKovacic.html
BenoJurjovec.html
LukaKrajnc.html
Kovacic:2013:CMMS Ladle Nozzle Opening and Genetic Programming
MihaKovacic.html
BenoJurjovec.html
LukaKrajnc.html
http___www.cmms.agh.edu.pl_abstract.php_p_id_424 http://www.cmms.agh.edu.pl/abstract.php?p_id=424
Kovacic:2013:QUALITY Artificial Intelligence Approach of Modeling of PM10 Emission close to a Steel Plant
MihaKovacic.html
SandraSencic.html
UrosZuperl.html
http___www.quality.unze.ba_zbornici_QUALITY_202013_050-Q13-013.pdf http://www.quality.unze.ba/zbornici/QUALITY%202013/050-Q13-013.pdf
Kovacic:2013:RMZ Genetic programming and artificial neural network modeling of PM10 emission close to a steel plant
MihaKovacic.html
SandraSencic.html
UrosZuperl.html
http___www.rmz-mg.com_contents.htm http://www.rmz-mg.com/contents.htm
http___www.rmz-mg.com_letniki_rmz60_RMZ60_0009-0016.pdf http://www.rmz-mg.com/letniki/rmz60/RMZ60_0009-0016.pdf
kovacic:2014:MT Ladle-Nozzle Opening and Genetic Programming
MihaKovacic.html
BenoJurjovec.html
LukaKrajnc.html
http___mit.imt.si_Revija_izvodi_mit141_kovacic.htm http://mit.imt.si/Revija/izvodi/mit141/kovacic.htm
http___mit.imt.si_Revija_izvodi_mit141_kovacic.pdf http://mit.imt.si/Revija/izvodi/mit141/kovacic.pdf
Kovacic:2014:energy Genetic programming prediction of the natural gas consumption in a steel plant
MihaKovacic.html
BozidarSarler.html
http___www.sciencedirect.com_science_article_pii_S0360544214001340 http://www.sciencedirect.com/science/article/pii/S0360544214001340
http___dx.doi.org_10.1016_j.energy.2014.02.001 http://dx.doi.org/10.1016/j.energy.2014.02.001
Kovacic:2014:MMP Modeling of Total Decarburization of Spring Steel with Genetic Programming
MihaKovacic.html
http___dx.doi.org_10.1080_10426914.2014.961477 http://dx.doi.org/10.1080/10426914.2014.961477
http___dx.doi.org_10.1080_10426914.2014.961477 http://dx.doi.org/10.1080/10426914.2014.961477
Kovacic:2015:MT Modeling of occurrence of surface defects of C45 steel with genetic programming
MihaKovacic.html
RobertJager.html
http___mit.imt.si_mit156.html http://mit.imt.si/mit156.html
http___mit.imt.si_Revija_izvodi_mit156_kovacic.pdf http://mit.imt.si/Revija/izvodi/mit156/kovacic.pdf
Kovacic:2016:MT Prediction of the chemical non-homogeneity of 30MnVS6 billets with genetic programming
MihaKovacic.html
DamirNovak.html
http___mit.imt.si_Revija_izvodi_mit161_kovacic.pdf http://mit.imt.si/Revija/izvodi/mit161/kovacic.pdf
155-kovacic Natural gas prediction in Slovenian industry using genetic programming - case studies
MihaKovacic.html
BozidarSarler.html
FranjoDolenc.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_155-kovacic.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/155-kovacic.pdf
http___cobiss.izum.si_scripts_cobiss_command_DISPLAY_lani_en_base_COBIB_RID_4384251 http://cobiss.izum.si/scripts/cobiss?command=DISPLAY&lani=en&base=COBIB&RID=4384251
Kovacic:2016:GPEM Prediction of the natural gas consumption in chemical processing facilities with genetic programming
MihaKovacic.html
FranjoDolenc.html
http___link.springer.com_article_10.1007_s10710-016-9264-x_wt_mc_internal.event.1.SEM.ArticleAuthorOnlineFirst http://link.springer.com/article/10.1007/s10710-016-9264-x?wt_mc=internal.event.1.SEM.ArticleAuthorOnlineFirst
http___dx.doi.org_10.1007_s10710-016-9264-x http://dx.doi.org/10.1007/s10710-016-9264-x
Kovacic:2016:RMZ Natural gas consumption prediction in Slovenian industry - a case study
MihaKovacic.html
BozidarSarler.html
UrosZuperl.html
https___www.degruyter.com_view_j_rmzmag.2016.63.issue-2_rmzmag-2016-0008_rmzmag-2016-0008.xml_format_INT https://www.degruyter.com/view/j/rmzmag.2016.63.issue-2/rmzmag-2016-0008/rmzmag-2016-0008.xml?format=INT
http___dx.doi.org_10.1515_rmzmag-2016-0008 http://dx.doi.org/10.1515/rmzmag-2016-0008
Kovacic:2017:KomPlasTech Usage of evolutionary methods in Store Steel Ltd. steel plant
DanutaSzeliga.html
LukaszRauch.html
http___komplastech.agh.edu.pl_public_repo_abstracts_004.pdf http://komplastech.agh.edu.pl/public_repo/abstracts/004.pdf
Kovacic:2017:MOTSP Genetic programming and Store Steel Ltd.
MihaKovacic.html
https___www.hatz.hr_beta_wp-content_uploads_2017_03_MOTSP-2017_program.pdf https://www.hatz.hr/beta/wp-content/uploads/2017/03/MOTSP-2017_program.pdf
Kovacic:2017:MT Increasing the tensile strength and elongation of 16MnCrS5 steel using genetic programming
MihaKovacic.html
AnaTurnsek.html
DarjaOcvirk.html
GasperGantar.html
http___mit.imt.si_Revija_izvodi_mit176_kovacic.pdf http://mit.imt.si/Revija/izvodi/mit176/kovacic.pdf
http___dx.doi.org_10.17222_mit.2016.293 http://dx.doi.org/10.17222/mit.2016.293
Kovacic:2018:IJSIMM Reduction of Surface Defects and Optimization of Continuous Casting of 70MnVS4 Steel
MihaKovacic.html
MiranBrezocnik.html
http___www.ijsimm.com_Full_Papers_Fulltext2018_text17-4_667-676.pdf http://www.ijsimm.com/Full_Papers/Fulltext2018/text17-4_667-676.pdf
Kovacic:2019:Energies Comprehensive Electric Arc Furnace Electric Energy Consumption Modeling: A Pilot Study
MihaKovacic.html
KlemenStopar.html
RobertVertnik.html
BozidarSarler.html
https___www.mdpi.com_1996-1073_12_11_2142_pdf https://www.mdpi.com/1996-1073/12/11/2142/pdf
https___www.mdpi.com_1996-1073_12_11_2142 https://www.mdpi.com/1996-1073/12/11/2142
https___www.mdpi.com_1996-1073_12_11_2142_htm https://www.mdpi.com/1996-1073/12/11/2142/htm
http___dx.doi.org_10.3390_en12112142 http://dx.doi.org/10.3390/en12112142
Kovacic:2019:MTAEC9 Roll wear modeling using genetic programming -- industry case study
MihaKovacic.html
AndrejMihevc.html
MilanTercelj.html
http___mit.imt.si_Revija_izvodi_mit193_kovacic.pdf http://mit.imt.si/Revija/izvodi/mit193/kovacic.pdf
http___mit.imt.si_mit193.html http://mit.imt.si/mit193.html
http___dx.doi.org_10.17222_mit.2018.104 http://dx.doi.org/10.17222/mit.2018.104
Kovacic:GPEM20 Genetic programming in the steelmaking industry
MihaKovacic.html
UrosZuperl.html
http___dx.doi.org_10.1007_s10710-020-09382-5 http://dx.doi.org/10.1007/s10710-020-09382-5
Kovacic:2021:metals Modeling and Optimization of Steel Machinability with Genetic Programming: Industrial Study
MihaKovacic.html
ShpetimSalihu.html
GasperGantar.html
UrosZuperl.html
https___www.mdpi.com_2075-4701_11_3_426 https://www.mdpi.com/2075-4701/11/3/426
http___dx.doi.org_10.3390_met11030426 http://dx.doi.org/10.3390/met11030426
Kovacic:2021:APEM Modelling and optimization of sulfur addition during 70MnVS4 steelmaking: An industrial case study
MihaKovacic.html
BorutLeser.html
MiranBrezocnik.html
https___apem-journal.org_Archives_2021_VOL16-ISSUE02.html https://apem-journal.org/Archives/2021/VOL16-ISSUE02.html
https___apem-journal.org_Archives_2021_APEM16-2_253-261.pdf https://apem-journal.org/Archives/2021/APEM16-2_253-261.pdf
http___dx.doi.org_10.14743_apem2021.2.398 http://dx.doi.org/10.14743/apem2021.2.398
Kovacic:2022:Metals Modeling of Tensile Test Results for Low Alloy Steels by Linear Regression and Genetic Programming Taking into Account the Non-Metallic Inclusions
MihaKovacic.html
UrosZuperl.html
https___www.mdpi.com_2075-4701_12_8_1343 https://www.mdpi.com/2075-4701/12/8/1343
https___www.mdpi.com_metals-12-01343.pdf https://www.mdpi.com/metals-12-01343.pdf
http___dx.doi.org_10.3390_met12081343 http://dx.doi.org/10.3390/met12081343
Kovacic2022469 Optimization of the rhomboidity of continuously cast billets using linear regression and genetic programming: A real industrial study
MihaKovacic.html
UrosZuperl.html
MiranBrezocnik.html
https___apem-journal.org_Archives_2022_Abstract-APEM17-4_469-478.html https://apem-journal.org/Archives/2022/Abstract-APEM17-4_469-478.html
https___apem-journal.org_Archives_2022_APEM17-4_469-478.pdf https://apem-journal.org/Archives/2022/APEM17-4_469-478.pdf
http___dx.doi.org_10.14743_apem2022.4.449 http://dx.doi.org/10.14743/apem2022.4.449
Kovacic:2023:MMP Continuous caster final electromagnetic stirrers position optimization using genetic programming
MihaKovacic.html
UrosZuperl.html
http___dx.doi.org_10.1080_10426914.2023.2219317 http://dx.doi.org/10.1080/10426914.2023.2219317
Kovacic2023501 Reduction of surface defects by optimization of casting speed using genetic programming: An industrial case study
MihaKovacic.html
UrosZuperl.html
LeoGusel.html
MiranBrezocnik.html
https___apem-journal.org_Archives_2023_Abstract-APEM18-4_501-511.html https://apem-journal.org/Archives/2023/Abstract-APEM18-4_501-511.html
https___apem-journal.org_Archives_2023_APEM18-4_501-511.pdf https://apem-journal.org/Archives/2023/APEM18-4_501-511.pdf
http___dx.doi.org_10.14743_apem2023.4.488 http://dx.doi.org/10.14743/apem2023.4.488
kovacs:2023:GECCO Optimizing Dispatching Strategies for Semiconductor Manufacturing Facilities with Genetic Programming
BenjaminKovacs.html
PierreTassel.html
MartinGebser.html
http___dx.doi.org_10.1145_3583131.3590402 http://dx.doi.org/10.1145/3583131.3590402
Kovacs:2012:hbnc Genetics-based machine learning
TimKovacs.html
http___www.cs.bris.ac.uk_Publications_pub_master.jsp_id_2001175 http://www.cs.bris.ac.uk/Publications/pub_master.jsp?id=2001175
http___www.cs.bris.ac.uk_Publications_Papers_2001175.pdf http://www.cs.bris.ac.uk/Publications/Papers/2001175.pdf
http___www.springer.com_computer_theoretical_computer_science_book_978-3-540-92911-6 http://www.springer.com/computer/theoretical+computer+science/book/978-3-540-92911-6
http___dx.doi.org_10.1007_978-3-540-92910-9_30 http://dx.doi.org/10.1007/978-3-540-92910-9_30
Kovalchuk:2008:CIMCA Seller's Strategies for Predicting Winning Bid Prices in Online Auctions
YevgeniyaKovalchuk.html
http___dx.doi.org_10.1109_CIMCA.2008.60 http://dx.doi.org/10.1109/CIMCA.2008.60
Kovalchuk:thesis A Multi-Agent Decision Support System for Supply Chain Management
YevgeniyaKovalchuk.html
https___ethos.bl.uk_OrderDetails.do_uin_uk.bl.ethos.502179 https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.502179
http___privatewww.essex.ac.uk__yvkova_Papers_thesisYKovalhuk.pdf http://privatewww.essex.ac.uk/~yvkova/Papers/thesisYKovalhuk.pdf
Kowalczyk:1998:LAG On Linguistic Approximation with Genetic Programming
RyszardKowalczyk.html
http___dx.doi.org_10.1007_3-540-64582-9_749 http://dx.doi.org/10.1007/3-540-64582-9_749
Kowalczykiewicz:2023:EuroGP Grammatical Evolution with Code2Vec
MichalKowalczykiewicz.html
PiotrLipinski.html
https___rdcu.be_c8U0K https://rdcu.be/c8U0K
http___dx.doi.org_10.1007_978-3-031-29573-7_14 http://dx.doi.org/10.1007/978-3-031-29573-7_14
Kowaliw:2009:cec Evolving Novel Image Features Using Genetic Programming-Based Image Transforms
TarasKowaliw.html
WolfgangBanzhaf.html
NawwafKharma.html
SimonHarding.html
http___dx.doi.org_10.1109_CEC.2009.4983255 http://dx.doi.org/10.1109/CEC.2009.4983255
Kowaliw:2010:cec Evolutionary automated recognition and characterization of an individual's artistic style
TarasKowaliw.html
JonMcCormack.html
AlanDorin.html
http___dx.doi.org_10.1109_CEC.2010.5585975 http://dx.doi.org/10.1109/CEC.2010.5585975
Kowaliw:2012:ieeeTEC Promoting Creative Design in Interactive Evolutionary Computation
TarasKowaliw.html
AlanDorin.html
JonMcCormack.html
http___dx.doi.org_10.1109_TEVC.2011.2166764 http://dx.doi.org/10.1109/TEVC.2011.2166764
Kowaliw:2013:GECCO Networks of transform-based evolvable features for object recognition
TarasKowaliw.html
WolfgangBanzhaf.html
ReneDoursat.html
http___dx.doi.org_10.1145_2463372.2463507 http://dx.doi.org/10.1145/2463372.2463507
Kowaliw:2016:omaths Bias-variance decomposition in Genetic Programming
TarasKowaliw.html
ReneDoursat.html
http___dx.doi.org_10.1515_math-2016-0005 http://dx.doi.org/10.1515/math-2016-0005
Koyuncu:thesis Boosting Automated Program Repair for Adoption By Practitioners
AnilKoyuncu.html
http___hdl.handle.net_10993_45073 http://hdl.handle.net/10993/45073
https___orbilu.uni.lu_bitstream_10993_45073_1_thesis.pdf https://orbilu.uni.lu/bitstream/10993/45073/1/thesis.pdf
Koza89 Hierarchical genetic algorithms operating on populations of computer programs
JohnKoza.html
http___www.genetic-programming.com_jkpdf_ijcai1989.pdf http://www.genetic-programming.com/jkpdf/ijcai1989.pdf
http___dl.acm.org_citation.cfm_id_1623755.1623877 http://dl.acm.org/citation.cfm?id=1623755.1623877
koza-90 Genetic programming: A paradigm for genetically breeding populations of computer programs to solve problems
JohnKoza.html
http___www.genetic-programming.com_jkpdf_tr1314.pdf http://www.genetic-programming.com/jkpdf/tr1314.pdf
http___www-db.stanford.edu_TR_CS-TR-90-1314.html http://www-db.stanford.edu/TR/CS-TR-90-1314.html
ftp___reports.stanford.edu_pub_cstr_reports_cs_tr_90_1314_CS-TR-90-1314.pdf ftp://reports.stanford.edu/pub/cstr/reports/cs/tr/90/1314/CS-TR-90-1314.pdf
Koza:1990:gem A genetic approach to econometric modeling
JohnKoza.html
http___www.genetic-programming.com_jkpdf_wces1990.pdf http://www.genetic-programming.com/jkpdf/wces1990.pdf
Koza:1990:GPai Genetically breeding populations of computer programs to solve problems in artificial intelligence
JohnKoza.html
http___www.genetic-programming.com_jkpdf_tai1990.pdf http://www.genetic-programming.com/jkpdf/tai1990.pdf
http___dx.doi.org_10.1109_TAI.1990.130444 http://dx.doi.org/10.1109/TAI.1990.130444
Koza:1990:pat-GAsp Non-Linear Genetic Algorithms for Solving Problems
JohnKoza.html
koza:1990:isp Integrating symbolic processing into genetic algorithms
JohnKoza.html
http___www.genetic-programming.com_jkpdf_aaai1990isnp.pdf http://www.genetic-programming.com/jkpdf/aaai1990isnp.pdf
Koza:1992:GAspfff Non-Linear Genetic Algorithms for Solving Problems by Finding a Fit Composition of Functions
JohnKoza.html
Koza:1991:ecpia Evolution and co-evolution of computer programs to control independent-acting agents
JohnKoza.html
http___www.genetic-programming.com_jkpdf_sab1990.pdf http://www.genetic-programming.com/jkpdf/sab1990.pdf
Koza:geCP Genetic evolution and co-evolution of computer programs
JohnKoza.html
http___www.genetic-programming.com_jkpdf_alife1990.pdf http://www.genetic-programming.com/jkpdf/alife1990.pdf
https___www.amazon.co.uk_Artificial-Life-Proceedings-COMPLEXITY-PROCEEDINGS_dp_0201525704 https://www.amazon.co.uk/Artificial-Life-Proceedings-COMPLEXITY-PROCEEDINGS/dp/0201525704
Koza:1991:randGP Evolving a computer program to generate random numbers using the genetic programming paradigm
JohnKoza.html
http___www.genetic-programming.com_jkpdf_icga1991.pdf http://www.genetic-programming.com/jkpdf/icga1991.pdf
Koza:1991:gem A genetic approach to econometric modeling
JohnKoza.html
http___www.genetic-programming.com_jkpdf_ecs1991cecoia1990.pdf http://www.genetic-programming.com/jkpdf/ecs1991cecoia1990.pdf
https___www.amazon.co.uk_s_k_9781483294896 https://www.amazon.co.uk/s?k=9781483294896
Koza:1992:GPdgc The genetic programming paradigm: Genetically breeding populations of computer programs to solve problems
JohnKoza.html
http___www.genetic-programming.com_jkpdf_soucek1992.pdf http://www.genetic-programming.com/jkpdf/soucek1992.pdf
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Koza:1993:alife Artificial Life at Stanford 1993
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JohnKoza.html
koza:1993:LsCA Discovery of rewrite rules in Lindenmayer systems and state transition rules in cellular automata via genetic programming
JohnKoza.html
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koza:1994:aao Architecture-Altering Operations for Evolving the Architecture of a Multipart Program in Genetic Programming
JohnKoza.html
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koza:1994:SandC Genetic programming as a means for programming computers by natural selection
JohnKoza.html
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Koza:1990:cartGP Cart centering and broom balancing by genetically breeding populations of control strategy programs
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Koza:1990:GPbroom Genetic breeding of non-linear optimal control strategies for broom balancing
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Koza:1993:pimlssi Performance improvement of machine learning via automatic discovery of facilitating functions as applied to a problem of symbolic system identification
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Koza:1992:patGPpcp A Non-Linear Genetic Process for Use with Plural Co-Evolving Populations
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JohnKoza.html
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Koza:1992:patGPdeADF A Non-Linear Genetic Process for Data Encoding and for Solving Problems Using Automatically Defined Functions
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Koza:1994:patGPeARCH Evolution of the Architecture of a Multi-Part Program to Solve a Problem Using Architecture Altering Operations
JohnKoza.html
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Koza:1992:fflizrd Evolution of Food Foraging Strategies for the Caribbean Anolis Lizard Using Genetic Programming
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Koza:1992:lizrd Evolution of food foraging strategies for the Caribbean Anolis lizard using genetic programming
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Koza:1192:robGP Automatic programming of robots using genetic programming
JohnKoza.html
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Koza91 Genetic Generation of Both the Weights and Architecture for a Neural Network
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Koza90 Concept formation and decision tree induction using the genetic programming paradigm
JohnKoza.html
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Koza92a Evolution of subsumption using genetic programming
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Koza92 A Genetic Approach to the Truck Backer Upper Problem and the Inter-Twined Spiral Problem
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Koza92b Hierarchical Automatic Function Definition in Genetic Programming
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koza:book Genetic Programming: On the Programming of Computers by Means of Natural Selection
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koza:adf Simultaneous Discovery of Reusable Detectors and Subroutines Using Genetic Programming
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koza:gp2 Genetic Programming II: Automatic Discovery of Reusable Programs
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koza:video2 Genetic Programming II Videotape: The next generation
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koza:1994:cpstd Evolution of a computer program for classifying protein segments as transmembrane domains using genetic programming
JohnKoza.html
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koza:1994:eecb Evolution of emergent cooperative behavior using genetic programming
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koza:1994:alife Artificial Life at Stanford 1994
JohnKoza.html
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koza:1994:gas Genetic Algorithms at Stanford 1994
JohnKoza.html
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Koza:1995:pGPnt Parallel Genetic Programming on a Network of Transputers
JohnKoza.html
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koza:1995:ea Evolving the Architecture of a Multi-Part Program in Genetic Programming Using Architecture-Altering Operations
JohnKoza.html
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koza:1995:hcbgs A Response to the ML-95 paper entitled ``Hill climbing beats genetic search on a Boolean circuit synthesis of Koza's''
JohnKoza.html
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Koza:1995:2ss Two Ways of Discovering the Size and Shape of a Computer Program to Solve a Problem
JohnKoza.html
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koza:1995:protien Automatic Discovery Using Genetic Programming of an Unknown-Sized Detector of Protein Motifs Containing Repeatedly-used Subexpressions
JohnKoza.html
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koza:1995:gendup Gene Duplication to Enable Genetic Programming to Concurrently Evolve Both the Architecture and Work-Performing Steps of a Computer Program
JohnKoza.html
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koza:1995:adpm Automated discovery of protein motifs with genetic programming
JohnKoza.html
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JohnKoza.html
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koza:1995:gagp Genetic Algorithms and Genetic Programming at Stanford 1995
JohnKoza.html
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koza:1995:GPem Genetic Programming for Economic Modelling
JohnKoza.html
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koza:1995:weston Survey of genetic algorithms and genetic programming
JohnKoza.html
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koza:1996:aigp2 Classifying Protein Segments as Transmembrane Domains Using Architecture-Altering Operations in Genetic Programming
JohnKoza.html
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koza:1996:eiGP Evolution of iteration in genetic programming
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koza:1996:eeaGP Toward evolution of electronic animals using genetic programming
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MartinAKeane.html
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koza:1996:ADFaacs Use of Automatically Defined Functions and Architecture-Altering Operations in Automated Circuit Synthesis with Genetic Programming
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koza:gp96 Genetic Programming 1996: Proceedings of the First Annual Conference
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RickLRiolo.html
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koza:1996:4problems Four problems for which a computer program evolved by genetic programming is competitive with human performance
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koza:LBgp96 Late Breaking Papers at the Genetic Programming 1996 Conference Stanford University July 28-31, 1996
JohnKoza.html
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koza:1996:eldld60db Evolution of a Low-Distortion, Low-Bias 60 Decibel Op Amp with Good Frequency Generalization using Genetic Programming
JohnKoza.html
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koza:1996:96db Design of a 96 Decibel operational amplifier and other problems for which a computer program evolved by genetic programming is competitive with human performance
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koza:1996:icesadf Reuse, parameterized reuse, and hierarchical reuse of substructures in evolving electrical circuits using genetic programming
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koza:1996:adtsaec Automated design of both the topology and sizing of analog electrical circuits using genetic programming
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koza:1996:adpmECTA Automatic discovery of protein motifs using genetic programming
JohnKoza.html
DavidAndre.html
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koza:1996:biscsp A case study where biology inspired a solution to a computer science problem
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koza:1997:evonews Genetic Programming: Automatic Programming of Computers
JohnKoza.html
koza:1997:3sfd Evolution of tri-state Frequency Discriminator for the Source Identification Problem using Genetic Programming
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JasonLohn.html
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koza:1997:96db Evolution Using Genetic Programming of a Low-Distortion 96 Decibel Operational Amplifier
JohnKoza.html
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koza:1997:ascc Automated Synthesis of Computational Circuits Using Genetic Programming
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koza:1998:ACDM Evolutionary Design of Analog Electrical Circuits using Genetic Programming
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koza:1998:CISE Automatic creation of computer programs for designing electrical circuits using genetic programming
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koza:1998:KENTWILLIAMS Genetic programming
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koza:1998:evoweb Genetic pragmatism - an exclusive interview with John Koza
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koza:1999:GPt3wami Genetic Programming: Turing's Third Way to Achieve Machine Intelligence
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koza:1999:at What is Genetic Programming?
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koza:2000:astpc3lp5sGP Automatic Synthesis of Both the Topology and Parameters for a Three-Lag Plant with a five-Second Delay Using Genetic Programming
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koza:2000:0851 Reverse Engineering and Automatic Synthesis of Metabolic Pathways from Observed Data Using Genetic Programming
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koza:2000:acc Automatic synthesis of both the control law and parameters for a controller for a three-lagplant with five-second delay using genetic programming and simulation techniques
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koza:2000:EH Use of conditional developmental operators and free variables in automatically synthesizing generalized circuits using genetic programming
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Koza:2000:GECCOlb Automatic Synthesis of a Wire Antenna Using Genetic Programming
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koza:2000:ICSB Reverse engineering of metabolic pathways from observed data by means of genetic programming
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koza:2001:CES Genetic Programming: Biologically Inspired Computation that Exhibits Creativity in Producing Human-Competitive Results
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koza:2001:FSB Automated reverse engineering of metabolic pathways from observed data using genetic programming
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koza:2001:gecco Automatic Synthesis of Both the Topology and Sizing of Metabolic Pathways using Genetic Programming
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koza:2002:gagp Genetic Algorithms and Genetic Programming at Stanford 2002
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Koza:2002:EDS Automatic synthesis of both the topology and numerical parameters for complex structures using genetic programming
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koza:2003:scientific_american Evolving Inventions
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Koza:2003:patent Genetic programming problem solver with automatically defined stores loops and recursions
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koza:2003:GPTP Automated Synthesis by Means of Genetic Programming of Complex Structures Incorporating Reuse, Hierarchies, Development, and Parameterized Toplogies
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http___dx.doi.org_10.1007_978-1-4419-8983-3_14 http://dx.doi.org/10.1007/978-1-4419-8983-3_14
koza:gp4 Genetic Programming IV: Routine Human-Competitive Machine Intelligence
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https___link.springer.com_book_10.1007_b137549 https://link.springer.com/book/10.1007/b137549
http___www.amazon.com_Genetic-Programming-IV-Human-Competitive-Intelligence_dp_1402074468 http://www.amazon.com/Genetic-Programming-IV-Human-Competitive-Intelligence/dp/1402074468
http___dx.doi.org_10.1007_0-387-26417-5_1 http://dx.doi.org/10.1007/0-387-26417-5_1
https___youtu.be_R10GopQBsMc https://youtu.be/R10GopQBsMc
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http___gpbib.cs.ucl.ac.uk_koza_videos_genetic_programming_4_video_human_competitive_machine_intelligence.mp4 http://gpbib.cs.ucl.ac.uk/koza_videos/genetic_programming_4_video_human_competitive_machine_intelligence.mp4
koza:video4 Genetic Programming IV Video: Human-Competitive Machine Intelligence
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koza:2003:gagp Genetic Algorithms and Genetic Programming at Stanford 2003
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http___www.genetic-programming.org_studentpapers2003.html http://www.genetic-programming.org/studentpapers2003.html
koza:2003:gpt A Genetic Programming Tutorial
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koza:2004:GPTP Towards Industrial Strength Automated Design of Analog Electrical Circuits by Means of Genetic Programming
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Koza:2003:ICMLA Routine high-return human-competitive machine learning
JohnKoza.html
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Koza:2003:IS What's AI Done for Me Lately? Genetic Programming's Human-Competitive Results
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koza:2003:HMH Automatic synthesis of topologies and numerical parameters
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Koza:2003:aec Human-competitive applications of genetic programming
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http___dx.doi.org_10.1007_978-3-642-18965-4_26 http://dx.doi.org/10.1007/978-3-642-18965-4_26
koza:2003:aaaiS Automated synthesis by means of genetic programming of human-competitive designs employing reuse, hierarchies, modularities, development, and parameterized topologies
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koza:2003:SPIE Routine Human-Competitive Machine Intelligence by Means of Genetic Programming
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koza:2004:SC Routine automated synthesis of five patented analog circuits using genetic programming
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http___dx.doi.org_10.1007_s00500-003-0288-9 http://dx.doi.org/10.1007/s00500-003-0288-9
koza:2004:EH Routine high-return human-competitive evolvable hardware
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koza:2004:mod:jrkoz The role of Hierarchies and Reuse in Genetic Programming in Achieving Scalable Automatic Programming
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koza:2004:FEC The Challenge of Producing Human-Competitive results by means of Genetic and Evolutionary Computation
JohnKoza.html
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MartinAKeane.html
http___dx.doi.org_10.1007_1-4020-7782-3_9 http://dx.doi.org/10.1007/1-4020-7782-3_9
koza:2005:EH Cross-Domain Features of Runs of Genetic Programming Used to Evolve Designs for Analog Circuits, Optical Lens Systems, Controllers, Antennas, Mechanical Systems, and Quantum Computing Circuits
JohnKoza.html
SameerHAl-Sakran.html
LeeWJones.html
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1068337 Automated re-invention of six patented optical lens systems using genetic programming
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koza:2005:JCIS Routine Human-Competitive Machine Intelligence By Means Of Genetic Programming
JohnKoza.html
koza:2005:gpt Genetic Programming
JohnKoza.html
RiccardoPoli.html
http___cswww.essex.ac.uk_staff_poli_papers_KozaPoli2005.pdf http://cswww.essex.ac.uk/staff/poli/papers/KozaPoli2005.pdf
http___dx.doi.org_10.1007_978-1-4614-6940-7_6 http://dx.doi.org/10.1007/978-1-4614-6940-7_6
https___www.springer.com_gp_book_9781461469391 https://www.springer.com/gp/book/9781461469391
koza:2005:eaitso Human-Competitive Automated Engineering Design and Optimization By Means Of Genetic Programming
JohnKoza.html
MartinAKeane.html
MatthewJStreeter.html
http___www.amazon.ca_Evolutionary-Algorithms-Intelligent-Engineering-Optimization_dp_1845640381 http://www.amazon.ca/Evolutionary-Algorithms-Intelligent-Engineering-Optimization/dp/1845640381
Koza:2006:GPTP Multi-Domain Observations Concerning Automatic Synthesis of Human-Competitive Designs Using Genetic Programming for Analog Circuits, Optical Lens Systems, Controllers, Antennas, Mechanical Systems, and Quantum Computing Circuits
JohnKoza.html
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koza:2006:EHW Human-Competitive Evolvable Hardware Created by Means of Genetic Programming
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LeeWJones.html
http___dx.doi.org_10.1007_0-387-31238-2_10 http://dx.doi.org/10.1007/0-387-31238-2_10
Koza:2008:geccocomp Introduction to genetic programming: tutorial
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http___dx.doi.org_10.1145_1388969.1389057 http://dx.doi.org/10.1145/1388969.1389057
1277363 Automated synthesis of a fixed-length loaded symmetric dipole antenna whose gain exceeds that of a commercial antenna and matches the theoretical maximum
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koza:2008:IS Routine high-return human-competitive automated problem-solving by means of genetic programming
JohnKoza.html
MatthewJStreeter.html
MartinAKeane.html
http___dx.doi.org_10.1016_j.ins.2008.07.028 http://dx.doi.org/10.1016/j.ins.2008.07.028
DBLP:journals/aiedam/Koza08 Human-competitive machine invention by means of genetic programming
JohnKoza.html
http___dx.doi.org_10.1017_S0890060408000127 http://dx.doi.org/10.1017/S0890060408000127
DBLP:journals/aiedam/KozaAJ08 Automated ab initio synthesis of complete designs of four patented optical lens systems by means of genetic programming
JohnKoza.html
SameerHAl-Sakran.html
LeeWJones.html
http___dx.doi.org_10.1017_S0890060408000176 http://dx.doi.org/10.1017/S0890060408000176
koza:2009:gpt Automated Design Using Darwinian Evolution and Genetic Programming
JohnKoza.html
https___www.youtube.com_watch_v_xIoytwJWJP8 https://www.youtube.com/watch?v=xIoytwJWJP8
Koza:2010:GPEM Human-competitive results produced by genetic programming
JohnKoza.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.297.6227 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.297.6227
http___www.genetic-programming.com_GPEM2010article.pdf http://www.genetic-programming.com/GPEM2010article.pdf
https___rdcu.be_cADVC https://rdcu.be/cADVC
http___dx.doi.org_10.1007_s10710-010-9112-3 http://dx.doi.org/10.1007/s10710-010-9112-3
Koza:2010:geccocomp Introduction to genetic programming tutorial: from the basics to human-competitive results
JohnKoza.html
http___dx.doi.org_10.1145_1830761.1830894 http://dx.doi.org/10.1145/1830761.1830894
Kraft:1994:GPqir The use of genetic programming to build queries for information retrieval
DonaldHKraft.html
FredericEPetry.html
BillBuckles.html
ThyagarajanSadasivan.html
http___dx.doi.org_10.1109_ICEC.1994.349905 http://dx.doi.org/10.1109/ICEC.1994.349905
Kramer:mastersthesis GAPS: the genetic algorithm programming system
MichaelDKramer.html
DBLP:conf/compsac/KramerZ00 GAPS: A Genetic Programming System
MichaelDKramer.html
DuZhang.html
http___dx.doi.org_10.1109_CMPSAC.2000.884788 http://dx.doi.org/10.1109/CMPSAC.2000.884788
krantz:2002:gecco:lbp Programmatic Compression of Natural Video
ThomasKrantz.html
OscarLindberg.html
GunnarThorburn.html
PeterNordin.html
http___thomas.krantz.com_paper.pdf http://thomas.krantz.com/paper.pdf
Krasnogor:2005:EA A Critical View of the Evolutionary Design of Self-assembling Systems
NatalioKrasnogor.html
GracielaTerrazas.html
DavidAPelta.html
GabrielaOchoa.html
http___www.cs.stir.ac.uk__goc_papers_CritSelfAEA05.pdf http://www.cs.stir.ac.uk/~goc/papers/CritSelfAEA05.pdf
http___dx.doi.org_10.1007_11740698_16 http://dx.doi.org/10.1007/11740698_16
Krasnogor:2011:GECCO GECCO '11: Proceedings of the 13th annual conference on Genetic and evolutionary computation
NatalioKrasnogor.html
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AndriesPEngelbrecht.html
DavidAPelta.html
CarlosGershenson.html
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Yew-SoonOng.html
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TinaYu.html
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ManLeungWong.html
PierreCollet.html
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Jean-PaulWatson.html
MosheSipper.html
SimonMPoulding.html
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MarcSchoenauer.html
CarstenWitt.html
AnneAuger.html
http___dl.acm.org_citation.cfm_id_2001576 http://dl.acm.org/citation.cfm?id=2001576
conf/wcecs_2009_II/190 Parallel Grammatical Evolution for Circuit Optimization
OldrichKratochvil.html
PavelOsmera.html
OndrejPopelka.html
http___www.iaeng.org_publication_WCECS2009_WCECS2009_pp1032-1037.pdf http://www.iaeng.org/publication/WCECS2009/WCECS2009_pp1032-1037.pdf
Krause:1999:OBDD Approximations by OBDDs and the Variable Ordering Problem
MatthiasKrause.html
PetrSavicky.html
IngoWegener.html
https___eldorado.tu-dortmund.de_bitstream_2003_5367_1_ci58.pdf https://eldorado.tu-dortmund.de/bitstream/2003/5367/1/ci58.pdf
https___eldorado.tu-dortmund.de_handle_2003_5367 https://eldorado.tu-dortmund.de/handle/2003/5367
http___hdl.handle.net_2003_5367 http://hdl.handle.net/2003/5367
http___dx.doi.org_10.17877_DE290R-15157 http://dx.doi.org/10.17877/DE290R-15157
KRAUSE2005160 On the influence of the variable ordering for algorithmic learning using OBDDs
MatthiasKrause.html
PetrSavicky.html
IngoWegener.html
http___www.sciencedirect.com_science_article_pii_S0890540105001033 http://www.sciencedirect.com/science/article/pii/S0890540105001033
http___dx.doi.org_10.1016_j.ic.2005.05.004 http://dx.doi.org/10.1016/j.ic.2005.05.004
Krauss:2017:SPLASHcomp Genetic Improvement in Code Interpreters and Compilers
OliverKrauss.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_SPLASH_SRC_Krauss_Oliver.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/SPLASH_SRC_Krauss_Oliver.pdf
https___2017.splashcon.org_event_splash-2017-doctoral-symposium-genetic-improvement-in-code-interpreters-and-compilers https://2017.splashcon.org/event/splash-2017-doctoral-symposium-genetic-improvement-in-code-interpreters-and-compilers
http___dx.doi.org_10.1145_3135932.3135934 http://dx.doi.org/10.1145/3135932.3135934
Krauss:2018:GI5 Dynamic Fitness Functions for Genetic Improvement in Compilers and Interpreters
OliverKrauss.html
HanspeterMoessenboeck.html
MichaelAffenzeller.html
http___www.cs.stir.ac.uk_events_gecco-gi-2018_papers_dynamic_fitness_functions_for_genetic_improvement_in_compilers_and_interpreters.pdf http://www.cs.stir.ac.uk/events/gecco-gi-2018/papers/dynamic_fitness_functions_for_genetic_improvement_in_compilers_and_interpreters.pdf
http___dx.doi.org_10.1145_3205651.3208308 http://dx.doi.org/10.1145/3205651.3208308
Krauss:2018:ManLang Towards a Framework for Stochastic Performance Optimizations in Compilers and Interpreters - An Architecture Overview
OliverKrauss.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_Krauss_2018_ManLang.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/Krauss_2018_ManLang.pdf
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http___dx.doi.org_10.1145_3237009.3237024 http://dx.doi.org/10.1145/3237009.3237024
Krauss:2019:GI Mining Patterns from Genetic Improvement Experiments
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http___gpbib.cs.ucl.ac.uk_gi2019_Krauss_2019_GI.pdf http://gpbib.cs.ucl.ac.uk/gi2019/Krauss_2019_GI.pdf
http___dx.doi.org_10.1109_GI.2019.00015 http://dx.doi.org/10.1109/GI.2019.00015
krauss:2020:EuroGP Automatically Evolving Lookup Tables for Function Approximation
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replication_package oliver-krauss/Replication\_GI\_Division\_Free\_Division: Evolving sqrt into 1/x via Software Data Maintenance
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krauss_towards_2020 Towards Knowledge Guided Genetic Improvement
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Krauss:2020:sigevolution Virtual conferences: the next big thing or a temporary emergency measure?
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http___dx.doi.org_10.1145_3422780.3422782 http://dx.doi.org/10.1145/3422780.3422782
Krauss:thesis Pattern Mining and Genetic Improvement in Compilers and Interpreters
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Krauss:2022:GI Amaru - A Framework for combining Genetic Improvement with Pattern Mining
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http___www.cs.ucl.ac.uk_staff_W.Langdon_gecco2022_gi2022_papers_Krauss_2022_GI.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/gecco2022/gi2022/papers/Krauss_2022_GI.pdf
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Krauss:2023:GI Exploring the Use of Natural Language Processing Techniques for Enhancing Genetic Improvement
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oai:CiteSeerPSU:451286 Genetic Programming Using Partial Order Of Solutions For Pattern Recognition Tasks
KrzysztofKrawiec.html
http___www-idss.cs.put.poznan.pl__krawiec_._pubs_kosyr2001.pdf http://www-idss.cs.put.poznan.pl/~krawiec/./pubs/kosyr2001.pdf
http___citeseer.ist.psu.edu_451286.html http://citeseer.ist.psu.edu/451286.html
Krawiec01pairwisecomparison Pairwise Comparison of Hypotheses in Evolutionary Learning
KrzysztofKrawiec.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.29.900 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.29.900
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Krawiec-chapter:2001 Genetic Programming with Local Improvement for Visual Learning from Examples
KrzysztofKrawiec.html
http___dx.doi.org_10.1007_3-540-44692-3_26 http://dx.doi.org/10.1007/3-540-44692-3_26
Krawiec_2000 Constructive Induction in Picture-based Decision Support
KrzysztofKrawiec.html
http___www-idss.cs.put.poznan.pl__krawiec_pubs_phd.pdf http://www-idss.cs.put.poznan.pl/~krawiec/pubs/phd.pdf
oai:CiteSeerPSU:451901 Constructive Induction in Learning of Image Representation
KrzysztofKrawiec.html
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oai:CiteSeerPSU:458532 Pairwise Comparison of Hypotheses Coverings as a Natural Mean Against Undesirable Niching in Evolutionary Inductive Learning
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krawiec:2001:IPC Evolutionary Computation Framework for Learning from Visual Examples
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krawiec:2002:GPEM Genetic Programming-based Construction of Features for Machine Learning and Knowledge Discovery Tasks
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KrawiecBhanu03 Visual Learning by Evolutionary Feature Synthesis
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Krawiec:book Evolutionary Feature Programming: Cooperative learning for knowledge discovery and computer vision
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Krawiec:2005:SMC Visual Learning by Coevolutionary Feature Synthesis
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krawiec:evows06 Learning High-Level Visual Concepts using Attributed Primitives and Genetic Programming
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Krawiec:2006:ICAISC Genetic Graph Programming for Object Detection
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Krawiecy:2006:CEC Evolutionary Learning of Primitive-Based Visual Concepts
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Krawiec:2007:FBIT Overview of Object Detection and Image Analysis by Means of Genetic Programming Techniques
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Krawiec07PRL Generative Learning of Visual Concepts using Multiobjective Genetic Programming
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Krawiec:2007:TEC Visual Learning by Evolutionary and Coevolutionary Feature Synthesis
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Krawiec:2008:geccocomp Potential fitness for genetic programming
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DBLP:conf/gecco/KrawiecL09 Approximating geometric crossover in semantic space
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PawelLichocki.html
http___dx.doi.org_10.1145_1569901.1570036 http://dx.doi.org/10.1145/1569901.1570036
DBLP:conf/gecco/KrawiecW09 Functional modularity for genetic programming
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http___dx.doi.org_10.1145_1569901.1570037 http://dx.doi.org/10.1145/1569901.1570037
Krawiec:2009:FCDS Analysis of Semantic Modularity for Genetic Programming
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Krawiec:2010:cec Automatic generation and exploitation of related problems in genetic programming
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BartoszWieloch.html
http___dx.doi.org_10.1109_CEC.2010.5586120 http://dx.doi.org/10.1109/CEC.2010.5586120
Krawiec:2010:cec2 Evolving cascades of voting feature detectors for vehicle detection in satellite imagery
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Krawiec:ppsn2010 Using Co-solvability to Model and Exploit Synergetic Effects in Evolution
KrzysztofKrawiec.html
PawelLichocki.html
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krawiec:2011:EuroGP Learnable Embeddings of Program Spaces
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http___dx.doi.org_10.1007_978-3-642-20407-4_15 http://dx.doi.org/10.1007/978-3-642-20407-4_15
Krawiec:2011:GECCO Semantically embedded genetic programming: automated design of abstract program representations
KrzysztofKrawiec.html
http___dx.doi.org_10.1145_2001576.2001762 http://dx.doi.org/10.1145/2001576.2001762
krawiec:2012:EuroGP Medial Crossovers for Genetic Programming
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http___dx.doi.org_10.1007_978-3-642-29139-5_6 http://dx.doi.org/10.1007/978-3-642-29139-5_6
Krawiec:2012:GECCO On relationships between semantic diversity, complexity and modularity of programming tasks
KrzysztofKrawiec.html
http___dx.doi.org_10.1145_2330163.2330272 http://dx.doi.org/10.1145/2330163.2330272
Krawiec:2012:GECCOcomp Locally geometric semantic crossover
KrzysztofKrawiec.html
TomaszPawlak.html
http___dx.doi.org_10.1145_2330784.2331005 http://dx.doi.org/10.1145/2330784.2331005
Krawiec:2012:PPSN Quantitative Analysis of Locally Geometric Semantic Crossover
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http___dx.doi.org_10.1007_978-3-642-32937-1_40 http://dx.doi.org/10.1007/978-3-642-32937-1_40
http___dx.doi.org_10.1007_978-3-642-32937-1_40 http://dx.doi.org/10.1007/978-3-642-32937-1_40
Krawiec:2013:GPEM Locally geometric semantic crossover: a study on the roles of semantics and homology in recombination operators
KrzysztofKrawiec.html
TomaszPawlak.html
http___dx.doi.org_10.1007_s10710-012-9172-7 http://dx.doi.org/10.1007/s10710-012-9172-7
Krawiec:2013:EvoIASP Implicit Fitness Sharing for Evolutionary Synthesis of License Plate Detectors
KrzysztofKrawiec.html
MateuszNawrocki.html
http___dx.doi.org_10.1007_978-3-642-37192-9_38 http://dx.doi.org/10.1007/978-3-642-37192-9_38
Krawiec:2013:GP Proceedings of the 16th European Conference on Genetic Programming, EuroGP 2013
KrzysztofKrawiec.html
AlbertoMoraglio.html
TingHu.html
ASimaEtaner-Uyar.html
BinHu.html
http___dx.doi.org_10.1007_978-3-642-37207-0 http://dx.doi.org/10.1007/978-3-642-37207-0
Krawiec:2013:GECCO Approximating geometric crossover by semantic backpropagation
KrzysztofKrawiec.html
TomaszPawlak.html
http___dx.doi.org_10.1145_2463372.2463483 http://dx.doi.org/10.1145/2463372.2463483
Krawiec:2013:GECCOa Pattern-guided genetic programming
KrzysztofKrawiec.html
JerrySwan.html
http___dx.doi.org_10.1145_2463372.2463496 http://dx.doi.org/10.1145/2463372.2463496
KrawiecSwanAAAI2013 Guiding Evolutionary Learning by Searching for Regularities in Behavioral Trajectories: A Case for Representation Agnosticism
KrzysztofKrawiec.html
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http___www.aaai.org_ocs_index.php_FSS_FSS13_paper_view_7590 http://www.aaai.org/ocs/index.php/FSS/FSS13/paper/view/7590
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Krawiec:2014:GPEM Genetic programming: where meaning emerges from program code
KrzysztofKrawiec.html
http___dx.doi.org_10.1007_s10710-013-9200-2 http://dx.doi.org/10.1007/s10710-013-9200-2
krawiec:2014:EuroGP Behavioral Search Drivers for Genetic Programing
KrzysztofKrawiec.html
Una-MayO'Reilly.html
http___dx.doi.org_10.1007_978-3-662-44303-3_18 http://dx.doi.org/10.1007/978-3-662-44303-3_18
Krawiec:2014:GECCO Behavioral programming: a broader and more detailed take on semantic GP
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Una-MayO'Reilly.html
http___doi.acm.org_10.1145_2576768.2598288 http://doi.acm.org/10.1145/2576768.2598288
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Krawiec:2014:PPSN Improving Genetic Programming with Behavioral Consistency Measure
KrzysztofKrawiec.html
ArmandoSolar-Lezama.html
http___dx.doi.org_10.1007_978-3-319-10762-2_43 http://dx.doi.org/10.1007/978-3-319-10762-2_43
Krawiec:2015:EuroGP Automatic Derivation of Search Objectives for Test-Based Genetic Programming
KrzysztofKrawiec.html
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http___dx.doi.org_10.1007_978-3-319-16501-1_5 http://dx.doi.org/10.1007/978-3-319-16501-1_5
Krawiec:2015:evoApplications Genetic Programming with Alternative Search Drivers for Detection of Retinal Blood Vessels
KrzysztofKrawiec.html
MikolajPawlak.html
http___dx.doi.org_10.1007_978-3-319-16549-3_45 http://dx.doi.org/10.1007/978-3-319-16549-3_45
chrisgptp2015behavioral Behavioral Program Synthesis: Insights and Prospects
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http___goo.gl_K3VI07 http://goo.gl/K3VI07
http___www.springer.com_us_book_9783319342214 http://www.springer.com/us/book/9783319342214
http___dx.doi.org_10.1007_978-3-319-34223-8_10 http://dx.doi.org/10.1007/978-3-319-34223-8_10
KrawiecBPS2016 Behavioral Program Synthesis with Genetic Programming
KrzysztofKrawiec.html
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http___www.springer.com_gp_book_9783319275635 http://www.springer.com/gp/book/9783319275635
http___dx.doi.org_10.1007_978-3-319-27565-9 http://dx.doi.org/10.1007/978-3-319-27565-9
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Krawiec:2016:GECCOcomp Solving Complex Problems with Coevolutionary Algorithms
KrzysztofKrawiec.html
MalcolmHeywood.html
http___dx.doi.org_10.1145_2908961.2926989 http://dx.doi.org/10.1145/2908961.2926989
Krawiec:2017:GECCOa Counterexample-driven Genetic Programming
KrzysztofKrawiec.html
IwoBladek.html
JerrySwan.html
http___doi.acm.org_10.1145_3071178.3071224 http://doi.acm.org/10.1145/3071178.3071224
http___dx.doi.org_10.1145_3071178.3071224 http://dx.doi.org/10.1145/3071178.3071224
liskowski17adaptive Adaptive Test Selection for Factorization-based Surrogate Fitness in Genetic Programming
KrzysztofKrawiec.html
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Krawiec:2018:IJCA Counterexample-Driven Genetic Programming: Stochastic Synthesis of Provably Correct Programs
KrzysztofKrawiec.html
IwoBladek.html
JerrySwan.html
JohnHDrake.html
https___www.ijcai.org_proceedings_2018_742 https://www.ijcai.org/proceedings/2018/742
https___www.ijcai.org_proceedings_2018_0742.pdf https://www.ijcai.org/proceedings/2018/0742.pdf
http___dx.doi.org_10.24963_ijcai.2018_742 http://dx.doi.org/10.24963/ijcai.2018/742
Krawiec:2019:GECCOcomp Solving complex problems with coevolutionary algorithms
KrzysztofKrawiec.html
MalcolmHeywood.html
http___dx.doi.org_10.1145_3319619.3323384 http://dx.doi.org/10.1145/3319619.3323384
Krawiec:2020:GECCOcomp Solving Complex Problems with Coevolutionary Algorithms
KrzysztofKrawiec.html
MalcolmHeywood.html
https___doi.org_10.1145_3377929.3389874 https://doi.org/10.1145/3377929.3389874
http___dx.doi.org_10.1145_3377929.3389874 http://dx.doi.org/10.1145/3377929.3389874
krawiec:2022:GECCOcomp Compositional Genetic Programming for Symbolic Regression
KrzysztofKrawiec.html
DominikKossinski.html
http___dx.doi.org_10.1145_3520304.3529077 http://dx.doi.org/10.1145/3520304.3529077
https___vimeo.com_723511579 https://vimeo.com/723511579
krein:1994:self Simple Memory Models and the Concept of Self in the Game of Concentration
ToddKrein.html
Kren:2014:CEC Generating Lambda Term Individuals in Typed Genetic Programming Using Forgetful A*
TomasKren.html
RomanNeruda.html
http___dx.doi.org_10.1109_CEC.2014.6900547 http://dx.doi.org/10.1109/CEC.2014.6900547
Kren:2014:GECCO Utilization of reductions and abstraction elimination in typed genetic programming
TomasKren.html
RomanNeruda.html
http___doi.acm.org_10.1145_2576768.2598361 http://doi.acm.org/10.1145/2576768.2598361
http___dx.doi.org_10.1145_2576768.2598361 http://dx.doi.org/10.1145/2576768.2598361
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MartinPilat.html
KlaraPeskova.html
RomanNeruda.html
http___ceur-ws.org_Vol-1455 http://ceur-ws.org/Vol-1455
http___nbn-resolving.de_urn_nbn_de_0074-1455-8 http://nbn-resolving.de/urn:nbn:de:0074-1455-8
http___ceur-ws.org_Vol-1455_paper-13.pdf http://ceur-ws.org/Vol-1455/paper-13.pdf
Kren:2015:ieeeSMC A Dynamic Programming Approach to Individual Initialization in Genetic Programming
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RomanNeruda.html
http___dx.doi.org_10.1109_SMC.2015.307 http://dx.doi.org/10.1109/SMC.2015.307
Kren:2017:ieeeSSCI Multi-objective evolution of machine learning workflows
TomasKren.html
MartinPilat.html
RomanNeruda.html
http___dx.doi.org_10.1109_SSCI.2017.8285357 http://dx.doi.org/10.1109/SSCI.2017.8285357
Kren:2017:ieeeSSCIa Combining top-down and bottom-up approaches for automated discovery of typed programs
TomasKren.html
JosefMoudrik.html
RomanNeruda.html
http___dx.doi.org_10.1109_SSCI.2017.8285209 http://dx.doi.org/10.1109/SSCI.2017.8285209
journals/ijait/KrenPN17 Automatic Creation of Machine Learning Workflows with Strongly Typed Genetic Programming
TomasKren.html
MartinPilat.html
RomanNeruda.html
http___dx.doi.org_10.1142_S021821301760020X http://dx.doi.org/10.1142/S021821301760020X
Kretowski:2006:ICAISC Evolutionary Learning of Linear Trees with Embedded Feature Selection
MarekKretowski.html
MarekGrzes.html
http___dx.doi.org_10.1007_11785231_43 http://dx.doi.org/10.1007/11785231_43
http___aragorn.pb.bialystok.pl__mkret_docs_icaisc2006.pdf http://aragorn.pb.bialystok.pl/~mkret/docs/icaisc2006.pdf
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FernandaKri.html
MarcFeeley.html
http___www.iro.umontreal.ca__feeley_papers_KriFeeleyQEST04.pdf http://www.iro.umontreal.ca/~feeley/papers/KriFeeleyQEST04.pdf
https___ieeexplore.ieee.org_document_1372107 https://ieeexplore.ieee.org/document/1372107
http___dx.doi.org_10.1109_QEST.2004.11 http://dx.doi.org/10.1109/QEST.2004.11
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SamKriegman.html
MarcinSzubert.html
JoshCBongard.html
ChristianSkalka.html
http___dx.doi.org_10.1007_978-3-319-45823-6_66 http://dx.doi.org/10.1007/978-3-319-45823-6_66
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WernerKristjanpoller.html
KevinMichell.html
MarcelCMinutolo.html
PrakashDheeriya.html
http___dx.doi.org_10.1016_j.eswa.2021.114943 http://dx.doi.org/10.1016/j.eswa.2021.114943
https___www.sciencedirect.com_science_article_pii_S0957417421003845 https://www.sciencedirect.com/science/article/pii/S0957417421003845
Kroemer:2015:ieeeSMC Neutron-Gamma Classification by Evolutionary Fuzzy Rules and Support Vector Machines
PavelKroemer.html
ZdenekMatej.html
PetrMusilek.html
VaclavPrenosil.html
FrantiekCvachovec.html
http___dx.doi.org_10.1109_SMC.2015.461 http://dx.doi.org/10.1109/SMC.2015.461
Krogmann:2010:ieeeTSE Using Genetic Search for Reverse Engineering of Parametric Behaviour Models for Performance Prediction
KlausKrogmann.html
MichaelKuperberg.html
RalfHReussner.html
http___dx.doi.org_10.1109_TSE.2010.69 http://dx.doi.org/10.1109/TSE.2010.69
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PavelKromer.html
JanPlatos.html
VaclavSnasel.html
AjithAbraham.html
http___dx.doi.org_10.1109_ISIAS.2010.5604063 http://dx.doi.org/10.1109/ISIAS.2010.5604063
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JanPlatos.html
VaclavSnasel.html
AjithAbraham.html
http___dx.doi.org_10.1109_HIS.2010.5600018 http://dx.doi.org/10.1109/HIS.2010.5600018
Kromer:2011:SMC Fuzzy classification by evolutionary algorithms
PavelKromer.html
JanPlatos.html
VaclavSnasel.html
AjithAbraham.html
http___dx.doi.org_10.1109_ICSMC.2011.6083684 http://dx.doi.org/10.1109/ICSMC.2011.6083684
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PavelKromer.html
LukasProkop.html
VaclavSnasel.html
StanislavMisak.html
JanPlatos.html
AjithAbraham.html
http___dx.doi.org_10.1145_2330784.2330790 http://dx.doi.org/10.1145/2330784.2330790
Kromer:2013:CMA Towards new directions of data mining by evolutionary fuzzy rules and symbolic regression
PavelKromer.html
SuhailSJOwais.html
JanPlatos.html
VaclavSnasel.html
http___dx.doi.org_10.1016_j.camwa.2013.02.017 http://dx.doi.org/10.1016/j.camwa.2013.02.017
http___www.sciencedirect.com_science_article_pii_S0898122113001284 http://www.sciencedirect.com/science/article/pii/S0898122113001284
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TibebeBeshah.html
DejeneEjigu.html
VaclavSnasel.html
JanPlatos.html
AjithAbraham.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.460.4124 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.460.4124
http___isda2002m.softcomputing.net_civts2013.pdf http://isda2002m.softcomputing.net/civts2013.pdf
http___dx.doi.org_10.1109_CIVTS.2013.6612287 http://dx.doi.org/10.1109/CIVTS.2013.6612287
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PavelKromer.html
JanaNowakova.html
http___dx.doi.org_10.1007_978-3-319-62389-4_52 http://dx.doi.org/10.1007/978-3-319-62389-4_52
https___www.scopus.com_inward_record.uri_eid_2-s2.0-85028468298_doi_10.1007_2f978-3-319-62389-4_52_partnerID_40_md5_5f646a43c0ad0b74f10de13c8edf642e https://www.scopus.com/inward/record.uri?eid=2-s2.0-85028468298&doi=10.1007%2f978-3-319-62389-4_52&partnerID=40&md5=5f646a43c0ad0b74f10de13c8edf642e
KROMER:2017:PCS Simultaneous Prediction of Wind Speed and Direction by Evolutionary Fuzzy Rule Forest
PavelKromer.html
JanPlatos.html
http___dx.doi.org_10.1016_j.procs.2017.05.195 http://dx.doi.org/10.1016/j.procs.2017.05.195
http___www.sciencedirect.com_science_article_pii_S187705091730786X http://www.sciencedirect.com/science/article/pii/S187705091730786X
Kromer2018205 Optimal column subset selection for image classification by genetic algorithms
PavelKromer.html
JanPlatos.html
JanaNowakova.html
VaclavSnasel.html
https___www.scopus.com_inward_record.uri_eid_2-s2.0-84991018113_doi_10.1007_2fs10479-016-2331-0_partnerID_40_md5_0d6022f913b66428010164c45edd4bea https://www.scopus.com/inward/record.uri?eid=2-s2.0-84991018113&doi=10.1007%2fs10479-016-2331-0&partnerID=40&md5=0d6022f913b66428010164c45edd4bea
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Kronberger:2009:eurogp On Crossover Success Rate in Genetic Programming with Offspring Selection
GabrielKronberger.html
StephanMWinkler.html
MichaelAffenzeller.html
StefanWagner.html
http___dx.doi.org_10.1007_978-3-642-01181-8_20 http://dx.doi.org/10.1007/978-3-642-01181-8_20
Kronberger:2009:LINDI System Identification of Blast Furnace Processes with Genetic Programming
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ChristophFeilmayr.html
MichaelKommenda.html
StephanMWinkler.html
MichaelAffenzeller.html
ThomasBurgler.html
http___dx.doi.org_10.1109_LINDI.2009.5258751 http://dx.doi.org/10.1109/LINDI.2009.5258751
conf/eurocast/KronbergerWABW09 On the Success Rate of Crossover Operators for Genetic Programming with Offspring Selection
GabrielKronberger.html
StephanMWinkler.html
MichaelAffenzeller.html
AndreasBeham.html
StefanWagner.html
http___dx.doi.org_10.1007_978-3-642-04772-5_102 http://dx.doi.org/10.1007/978-3-642-04772-5_102
Kronberger:thesis Symbolic Regression for Knowledge Discovery - Bloat, Overfitting, and Variable Interaction Networks
GabrielKronberger.html
http___heal.heuristiclab.com_system_files_diss_20gkr2.pdf http://heal.heuristiclab.com/system/files/diss%20gkr2.pdf
Kronberger:2010:EMSS Effects of Mutation before and after offspring selection in genetic programming for symbolic regression
GabrielKronberger.html
StephanMWinkler.html
MichaelAffenzeller.html
MichaelKommenda.html
StefanWagner.html
http___research.fh-ooe.at_en_publication_1879 http://research.fh-ooe.at/en/publication/1879
Kronberger:book Symbolic Regression for Knowledge Discovery -- Bloat, Overfitting, and Variable Interaction Networks
GabrielKronberger.html
https___www.amazon.co.uk_Symbolic-Regression-Knowledge-Discovery-Overfitting_dp_3854998759 https://www.amazon.co.uk/Symbolic-Regression-Knowledge-Discovery-Overfitting/dp/3854998759
https___pure.fh-ooe.at_de_publications_symbolic-regression-for-knowledge-discovery-bloat-overfitting-and https://pure.fh-ooe.at/de/publications/symbolic-regression-for-knowledge-discovery-bloat-overfitting-and
Kronberger:evoapps11 Macro-economic Time Series Modeling and Interaction Networks
GabrielKronberger.html
StefanFink.html
MichaelKommenda.html
MichaelAffenzeller.html
http___dx.doi.org_10.1007_978-3-642-20520-0_11 http://dx.doi.org/10.1007/978-3-642-20520-0_11
Kronberger:2011:GECCOcomp Overfitting detection and adaptive covariant parsimony pressure for symbolic regression
GabrielKronberger.html
MichaelKommenda.html
MichaelAffenzeller.html
http___dx.doi.org_10.1145_2001858.2002060 http://dx.doi.org/10.1145/2001858.2002060
Kronberger:2012:HeuristicLab.Spotlight Knowledge Discovery through Symbolic Regression with HeuristicLab
GabrielKronberger.html
StefanWagner.html
MichaelKommenda.html
AndreasBeham.html
AndreasScheibenpflug.html
MichaelAffenzeller.html
http___dx.doi.org_10.1007_978-3-642-33486-3_56 http://dx.doi.org/10.1007/978-3-642-33486-3_56
Kronberger:2013:EuroCAST Evolution of Covariance Functions for Gaussian Process Regression using Genetic Programming
GabrielKronberger.html
MichaelKommenda.html
http___arxiv.org_abs_1305.3794 http://arxiv.org/abs/1305.3794
Kronberger:2013:GECCOcomp GPDL: a framework-independent problem definition language for grammar-guided genetic programming
GabrielKronberger.html
MichaelKommenda.html
StefanWagner.html
HeinzDobler.html
http___dx.doi.org_10.1145_2464576.2482713 http://dx.doi.org/10.1145/2464576.2482713
3092 Genetic programming: Current trends and applications in computational finance
GabrielKronberger.html
MichaelAffenzeller.html
StefanFink.html
http___research.fh-ooe.at_en_publication_3092 http://research.fh-ooe.at/en/publication/3092
https___www.novapublishers.com_catalog_product_info.php_products_id_39839 https://www.novapublishers.com/catalog/product_info.php?products_id=39839
DBLP:conf/eurocast/KronbergerKWA15 Using Contextual Information in Sequential Search for Grammatical Optimization Problems
GabrielKronberger.html
MichaelKommenda.html
StephanMWinkler.html
MichaelAffenzeller.html
https___doi.org_10.1007_978-3-319-27340-2_52 https://doi.org/10.1007/978-3-319-27340-2_52
http___dx.doi.org_10.1007_978-3-319-27340-2_52 http://dx.doi.org/10.1007/978-3-319-27340-2_52
https___dblp.org_rec_bib_conf_eurocast_KronbergerKWA15 https://dblp.org/rec/bib/conf/eurocast/KronbergerKWA15
series/sci/KronbergerK15 Search Strategies for Grammatical Optimization Problems - Alternatives to Grammar-Guided Genetic Programming
GabrielKronberger.html
MichaelKommenda.html
http___dx.doi.org_10.1007_978-3-319-15720-7 http://dx.doi.org/10.1007/978-3-319-15720-7
http___dx.doi.org_10.1007_978-3-319-15720-7_7 http://dx.doi.org/10.1007/978-3-319-15720-7_7
6345 Measures for the Evaluation and Comparison of Graphical Model Structures
GabrielKronberger.html
BogdanBurlacu.html
MichaelKommenda.html
StephanMWinkler.html
MichaelAffenzeller.html
https___link.springer.com_chapter_10.1007_978-3-319-74718-7_34 https://link.springer.com/chapter/10.1007/978-3-319-74718-7_34
http___dx.doi.org_10.1007_978-3-319-74718-7_34 http://dx.doi.org/10.1007/978-3-319-74718-7_34
Kronberger:2018:GECCO Predicting friction system performance with symbolic regression and genetic programming with factor variables
GabrielKronberger.html
MichaelKommenda.html
AndreasPromberger.html
FalkNickel.html
http___dx.doi.org_10.1145_3205455.3205522 http://dx.doi.org/10.1145/3205455.3205522
kronberger2018using Using robust generalized fuzzy modeling and enhanced symbolic regression to model tribological systems
GabrielKronberger.html
MichaelKommenda.html
EdwinLughofer.html
SusanneSaminger-Platz.html
AndreasPromberger.html
FalkNickel.html
StephanMWinkler.html
MichaelAffenzeller.html
https___www.sciencedirect.com_science_article_pii_S1568494618302394_via_3Dihub https://www.sciencedirect.com/science/article/pii/S1568494618302394?via%3Dihub
http___dx.doi.org_10.1016_j.asoc.2018.04.048 http://dx.doi.org/10.1016/j.asoc.2018.04.048
kronberger:2018:GPTP Cluster Analysis of a Symbolic Regression Search Space
GabrielKronberger.html
LukasKammerer.html
BogdanBurlacu.html
StephanMWinkler.html
MichaelKommenda.html
MichaelAffenzeller.html
http___link.springer.com_chapter_10.1007_978-3-030-04735-1_5 http://link.springer.com/chapter/10.1007/978-3-030-04735-1_5
http___dx.doi.org_10.1007_978-3-030-04735-1_5 http://dx.doi.org/10.1007/978-3-030-04735-1_5
Kronberger:2019:EUROCAST Identification of Dynamical Systems Using Symbolic Regression
GabrielKronberger.html
LukasKammerer.html
MichaelKommenda.html
http___dx.doi.org_10.1007_978-3-030-45093-9_45 http://dx.doi.org/10.1007/978-3-030-45093-9_45
journals/soco/KronbergerCWH20 Multilayer analysis of population diversity in grammatical evolution for symbolic regression
GabrielKronberger.html
JManuelColmenar.html
StephanMWinkler.html
JoseIgnacioHidalgoPerez.html
http___dx.doi.org_10.1007_s00500-020-05062-9 http://dx.doi.org/10.1007/s00500-020-05062-9
DBLP:journals/corr/abs-2108-01595 Predicting Calibration Parameter Values for Constitutive Models using Genetic Programming
GabrielKronberger.html
EvgeniyaKabliman.html
JohannesKronsteiner.html
MichaelKommenda.html
https___arxiv.org_abs_2108.01595 https://arxiv.org/abs/2108.01595
https___dblp.org_rec_journals_corr_abs-2108-01595.bib https://dblp.org/rec/journals/corr/abs-2108-01595.bib
KRONBERGER:2022:AES Extending a physics-based constitutive model using genetic programming
GabrielKronberger.html
EvgeniyaKabliman.html
JohannesKronsteiner.html
MichaelKommenda.html
http___dx.doi.org_10.1016_j.apples.2021.100080 http://dx.doi.org/10.1016/j.apples.2021.100080
https___www.sciencedirect.com_science_article_pii_S2666496821000431 https://www.sciencedirect.com/science/article/pii/S2666496821000431
Kronberger:EC Shape-constrained Symbolic Regression - Improving Extrapolation with Prior Knowledge
GabrielKronberger.html
FabricioOlivettideFranca.html
BogdanBurlacu.html
ChristianHaider.html
MichaelKommenda.html
https___arxiv.org_abs_2103.15624 https://arxiv.org/abs/2103.15624
http___dx.doi.org_10.1162_evco_a_00294 http://dx.doi.org/10.1162/evco_a_00294
DBLP:journals/corr/abs-2209-00942 Local Optimization Often is Ill-conditioned in Genetic Programming for Symbolic Regression
GabrielKronberger.html
https___doi.org_10.48550_arXiv.2209.00942 https://doi.org/10.48550/arXiv.2209.00942
http___dx.doi.org_10.48550_arXiv.2209.00942 http://dx.doi.org/10.48550/arXiv.2209.00942
https___dblp.org_rec_journals_corr_abs-2209-00942.bib https://dblp.org/rec/journals/corr/abs-2209-00942.bib
Kronberger:2022:SYNASC Local Optimization Often is Ill-conditioned in Genetic Programming for Symbolic Regression
GabrielKronberger.html
http___dx.doi.org_10.1109_SYNASC57785.2022.00055 http://dx.doi.org/10.1109/SYNASC57785.2022.00055
kroymann:2000:DPBEGP Dynamic Population Based Evolution using Genetic Programming
DanBKroymann.html
conf/ijcci/0002JCR20 GEMO: Grammatical Evolution Memory Optimization System
MeghanaKshirsagar.html
RushikeshJachak.html
PurvaChaudhari.html
ConorRyan.html
http___dx.doi.org_10.5220_0010106501840191 http://dx.doi.org/10.5220/0010106501840191
Kuang:FTDCS:1999 PODC: Paradigm-oriented distributed computing
HairongKuang.html
LubomirFBic.html
MichaelBDillencourt.html
AdamCChang.html
http___www.ics.uci.edu__bic_messengers_papers_FTDCS99.ps http://www.ics.uci.edu/~bic/messengers/papers/FTDCS99.ps
http___dx.doi.org_10.1109_FTDCS.1999.818801 http://dx.doi.org/10.1109/FTDCS.1999.818801
851780 Paradigm-Oriented Distributed Computing Using Mobile Agents
HairongKuang.html
LubomirFBic.html
MichaelBDillencourt.html
http___csdl.computer.org_comp_proceedings_icdcs_2000_0601_00_06010011abs.htm http://csdl.computer.org/comp/proceedings/icdcs/2000/0601/00/06010011abs.htm
http___www.ics.uci.edu__bic_messengers_papers_ICDCS00h.ps http://www.ics.uci.edu/~bic/messengers/papers/ICDCS00h.ps
http___citeseer.ist.psu.edu_486812.html http://citeseer.ist.psu.edu/486812.html
http___dx.doi.org_10.1109_ICDCS.2000.840902 http://dx.doi.org/10.1109/ICDCS.2000.840902
Kuang:thesis Paradigm-Oriented Distributed Computing Using Mobile Agents
HairongKuang.html
http___www.ics.uci.edu__bic_messengers_papers_HK-DISSERT.ps http://www.ics.uci.edu/~bic/messengers/papers/HK-DISSERT.ps
Kuang:2005:JPDC PODC: Paradigm-oriented distributed computing
HairongKuang.html
LubomirFBic.html
MichaelBDillencourt.html
http___www.ics.uci.edu__bic_messengers_papers_JPDC05.pdf http://www.ics.uci.edu/~bic/messengers/papers/JPDC05.pdf
http___www.sciencedirect.com_science_article_B6WKJ-4FFNBSD-1_2_f7a35dca806bd7431f2fdcaa99a03b67 http://www.sciencedirect.com/science/article/B6WKJ-4FFNBSD-1/2/f7a35dca806bd7431f2fdcaa99a03b67
http___dx.doi.org_10.1016_j.jpdc.2004.11.009 http://dx.doi.org/10.1016/j.jpdc.2004.11.009
Kubalik:2001:BNAIC Genetic Programming Fuzzy Rule Extractor Using Class Preserving Representation
JiriKubalik.html
LeonJMRothkrantz.html
JiriLazansky.html
http___labe.felk.cvut.cz__kubalik_projects_bnaic2001.pdf http://labe.felk.cvut.cz/~kubalik/projects/bnaic2001.pdf
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.136.6332 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.136.6332
kubalik03 Grammatical Evolution with Bidirectional Representation
JiriKubalik.html
JanKoutnik.html
LeonJMRothkrantz.html
http___dx.doi.org_10.1007_3-540-36599-0_33 http://dx.doi.org/10.1007/3-540-36599-0_33
Kubalik:2004:basys Application of Soft Computing Techniques to Classification of Licensed Subjects
JiriKubalik.html
MarcelJirina.html
OldrichStary.html
LenkaLhotska.html
JanSuchy.html
http___dx.doi.org_10.1007_0-387-22829-2_52 http://dx.doi.org/10.1007/0-387-22829-2_52
https___doi.org_10.1007_0-387-22829-2_52 https://doi.org/10.1007/0-387-22829-2_52
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.626.6005 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.626.6005
http___ida.felk.cvut.cz_cgi-bin_docarc_public.pl_document_82_basys_2004_submission.pdf http://ida.felk.cvut.cz/cgi-bin/docarc/public.pl/document/82/basys_2004_submission.pdf
eurogp06:KubalikFaigl Iterative Prototype Optimisation with Evolved Improvement Steps
JiriKubalik.html
JanFaigl.html
http___dx.doi.org_10.1007_11729976_14 http://dx.doi.org/10.1007/11729976_14
Kubalik:2015:ECTA An Improved Single Node Genetic Programming for Symbolic Regression
JiriKubalik.html
RobertBabuska.html
http___ieeexplore.ieee.org_document_7529330_ http://ieeexplore.ieee.org/document/7529330/
journals/tcci/KubalikAZB16 Hybrid Single Node Genetic Programming for Symbolic Regression
JiriKubalik.html
EduardAlibekov.html
JanZegklitz.html
RobertBabuska.html
http___dx.doi.org_10.1007_978-3-662-53525-7_4 http://dx.doi.org/10.1007/978-3-662-53525-7_4
KUBALIK:2017:IFAC-PapersOnLine Optimal Control via Reinforcement Learning with Symbolic Policy Approximation
JiriKubalik.html
EduardAlibekov.html
RobertBabuska.html
http___dx.doi.org_10.1016_j.ifacol.2017.08.805 http://dx.doi.org/10.1016/j.ifacol.2017.08.805
http___www.sciencedirect.com_science_article_pii_S2405896317312594 http://www.sciencedirect.com/science/article/pii/S2405896317312594
kubalik2017enhanced Enhanced Symbolic Regression Through Local Variable Transformations
JiriKubalik.html
ErikDerner.html
RobertBabuska.html
http___dx.doi.org_10.5220_0006505200910100 http://dx.doi.org/10.5220/0006505200910100
DBLP:journals/corr/abs-1903-09688 Symbolic Regression Methods for Reinforcement Learning
JiriKubalik.html
JanZegklitz.html
ErikDerner.html
RobertBabuska.html
http___arxiv.org_abs_1903.09688 http://arxiv.org/abs/1903.09688
Kubalik:2020:GECCO Symbolic Regression Driven by Training Data and Prior Knowledge
JiriKubalik.html
ErikDerner.html
RobertBabuska.html
https___doi.org_10.1145_3377930.3390152 https://doi.org/10.1145/3377930.3390152
http___dx.doi.org_10.1145_3377930.3390152 http://dx.doi.org/10.1145/3377930.3390152
KUBALIK:2021:ESA Multi-objective symbolic regression for physics-aware dynamic modeling
JiriKubalik.html
ErikDerner.html
RobertBabuska.html
http___dx.doi.org_10.1016_j.eswa.2021.115210 http://dx.doi.org/10.1016/j.eswa.2021.115210
https___www.sciencedirect.com_science_article_pii_S0957417421006436 https://www.sciencedirect.com/science/article/pii/S0957417421006436
Kubalik:2023:ACC Toward Physically Plausible Data-Driven Models: A Novel Neural Network Approach to Symbolic Regression
JiriKubalik.html
ErikDerner.html
RobertBabuska.html
http___dx.doi.org_10.1109_ACCESS.2023.3287397 http://dx.doi.org/10.1109/ACCESS.2023.3287397
kubica:2002:ICRA Creating a Smarter Membrane: Automatic Code Generation for Modular Self-Reconfigurable Robots
JeremyKubica.html
EleanorGRieffel.html
http___dx.doi.org_10.1109_ROBOT.2002.1013455 http://dx.doi.org/10.1109/ROBOT.2002.1013455
kubica:2002:gecco Collaborating With A Genetic Programming System To Generate Modular Robotic Code
JeremyKubica.html
EleanorGRieffel.html
http___gpbib.cs.ucl.ac.uk_gecco2002_GP206.ps http://gpbib.cs.ucl.ac.uk/gecco2002/GP206.ps
http___gpbib.cs.ucl.ac.uk_gecco2002_GP206.pdf http://gpbib.cs.ucl.ac.uk/gecco2002/GP206.pdf
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_gecco2002_gecco-2002-14.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/gecco2002/gecco-2002-14.pdf
Kublanov:2017:SIBIRCON Genetic programming application for features selection in task of arterial hypertension classification
VladimirKublanov.html
AntonDolganov.html
HugoFilipeSilveiraGamboa.html
http___dx.doi.org_10.1109_SIBIRCON.2017.8109954 http://dx.doi.org/10.1109/SIBIRCON.2017.8109954
KUBLANOV:2019:ASC Development of a decision support system for neuro-electrostimulation: Diagnosing disorders of the cardiovascular system and evaluation of the treatment efficiency
VladimirKublanov.html
AntonDolganov.html
http___dx.doi.org_10.1016_j.asoc.2019.01.032 http://dx.doi.org/10.1016/j.asoc.2019.01.032
http___www.sciencedirect.com_science_article_pii_S1568494619300377 http://www.sciencedirect.com/science/article/pii/S1568494619300377
kubota:1999:itveGP Information transformation by virus-evolutionary genetic programming
NaoyukiKubota.html
FumioKojima.html
SetsuoHashimoto.html
ToshioFukuda.html
https___ci.nii.ac.jp_naid_10010073273_en_ https://ci.nii.ac.jp/naid/10010073273/en/
kubota:2000:gfitelp GP-Prepocessed Fuzzy Inference for The Energy Load Prediction
NaoyukiKubota.html
SetsuoHashimoto.html
FumioKojima.html
KazuhikoTaniguchi.html
http___dx.doi.org_10.1109_CEC.2000.870268 http://dx.doi.org/10.1109/CEC.2000.870268
Kubota:2000:ALRob Information transformation by virus-evolutionary genetic programming
NaoyukiKubota.html
FumioKojima.html
SetsuoHashimoto.html
ToshioFukuda.html
http___dx.doi.org_10.1007_BF02481340 http://dx.doi.org/10.1007/BF02481340
Kuchar:2019:TSP Supervised Learning in Multi-Agent Environments Using Inverse Point of View
KarelKuchar.html
EvaHolasova.html
LukasHrboticky.html
MartinRajnoha.html
RadimBurget.html
http___dx.doi.org_10.1109_TSP.2019.8768860 http://dx.doi.org/10.1109/TSP.2019.8768860
Kuczapski:2010:ITC Efficient Generation of Near Optimal Initial Populations to Enhance Genetic Algorithms for Job-Shop Scheduling
ArturMKuczapski.html
MihaiVMicea.html
LaurentiuAManiu.html
VladimirICretu.html
http___www.itc.ktu.lt_index.php_ITC_article_view_12091 http://www.itc.ktu.lt/index.php/ITC/article/view/12091
Kuehne:2016:EuroGP Patterns for Constructing Mutation Operators: Limiting the Search Space in a Software Engineering Application
ThomasKuehne.html
HeikoHamann.html
SvetlanaArifulina.html
GregorEngels.html
http___dx.doi.org_10.1007_978-3-319-30668-1_18 http://dx.doi.org/10.1007/978-3-319-30668-1_18
Kuepper:2023:PLDI CryptOpt: Verified Compilation with Randomized Program Search for Cryptographic Primitives
JoelKuepper.html
AndresErbsen.html
JasonGross.html
OwenConoly.html
Chuyue_Livia_Sun.html
SamuelTian.html
DavidWu.html
AdamChlipala.html
ChitchanokChuengsatiansup.html
DanielGenkin.html
MarkusWagner.html
YuvalYarom.html
https___pldi23.sigplan.org_details_pldi-2023-pldi_53_CryptOpt-Verified-Compilation-with-Randomized-Program-Search-for-Cryptographic-Primi https://pldi23.sigplan.org/details/pldi-2023-pldi/53/CryptOpt-Verified-Compilation-with-Randomized-Program-Search-for-Cryptographic-Primi
https___arxiv.org_abs_2211.10665 https://arxiv.org/abs/2211.10665
https___human-competitive.org_sites_default_files_humies_3.txt https://human-competitive.org/sites/default/files/humies_3.txt
https___human-competitive.org_sites_default_files_pldi23main-p326-final.pdf https://human-competitive.org/sites/default/files/pldi23main-p326-final.pdf
https___doi.org_10.1145_3591272 https://doi.org/10.1145/3591272
http___dx.doi.org_10.1145_3591272 http://dx.doi.org/10.1145/3591272
kuhling:2002:EuroGP Brute-Force Approach to Automatic Induction of Machine Code on CISC Architectures
FelixKuhling.html
KristerWolff.html
PeterNordin.html
http___dx.doi.org_10.1007_3-540-45984-7_28 http://dx.doi.org/10.1007/3-540-45984-7_28
kuhlmann:1995:gp Genetic Programming in C/C++
HansKuhlmann.html
MikeHollick.html
ftp___ftp.cis.upenn.edu_pub_hollick_public_html_genetic_paper2.html ftp://ftp.cis.upenn.edu/pub/hollick/public_html/genetic/paper2.html
kuhne:evows06 Finding Compact BDDs Using Genetic Programming
UlrichKuhne.html
NicoleDrechsler.html
http___www.informatik.uni-bremen.de_agra_doc_work_KueDre06_Finding_Compact_BDDs.pdf http://www.informatik.uni-bremen.de/agra/doc/work/KueDre06_Finding_Compact_BDDs.pdf
http___dx.doi.org_10.1007_11732242_28 http://dx.doi.org/10.1007/11732242_28
Kulcsar:wsc17 Visualisation of High Dimensional Data by Use of Genetic Programming: Application to On-line Infrared Spectroscopy Based Process Monitoring
TiborKulcsar.html
GaborBereznai.html
GaborSarossy.html
RobertAuer.html
JanosAbonyi.html
http___dx.doi.org_10.1007_978-3-319-00930-8_20 http://dx.doi.org/10.1007/978-3-319-00930-8_20
Kulkarni20112752 Colon cancer prediction with genetics profiles using evolutionary techniques
AshwinikumarKulkarni.html
BSCNaveenKumar.html
VadlamaniRavi.html
UpadhyayulaSuryanarayanaNMurthy.html
http___dx.doi.org_10.1016_j.eswa.2010.08.065 http://dx.doi.org/10.1016/j.eswa.2010.08.065
http___www.sciencedirect.com_science_article_B6V03-50YK82C-2_2_80df229bab9391914935d3f037d6b030 http://www.sciencedirect.com/science/article/B6V03-50YK82C-2/2/80df229bab9391914935d3f037d6b030
kulkarni:2020:SwFSLC Agrilogistics - A Genetic Programming Based Approach
DivyaDKulkarni.html
ShivashankarBNair.html
http___link.springer.com_chapter_10.1007_978-3-030-45293-3_7 http://link.springer.com/chapter/10.1007/978-3-030-45293-3_7
http___dx.doi.org_10.1007_978-3-030-45293-3_7 http://dx.doi.org/10.1007/978-3-030-45293-3_7
Kulunchakov:2017:ESA Generation of simple structured Information Retrieval functions by genetic algorithm without stagnation
AndreyKulunchakov.html
VadimStrijov.html
http___dx.doi.org_10.1016_j.eswa.2017.05.019 http://dx.doi.org/10.1016/j.eswa.2017.05.019
http___www.sciencedirect.com_science_article_pii_S0957417417303354 http://www.sciencedirect.com/science/article/pii/S0957417417303354
Kumar:2007:AMC Optimal control for linear singular system using genetic programming
AVincentAntonyKumar.html
PBalasubramaniam.html
http___dx.doi.org_10.1016_j.amc.2007.02.122 http://dx.doi.org/10.1016/j.amc.2007.02.122
Kumar:2020:IRMA Performance Analysis of Nature-Inspired Algorithms-Based Bayesian Prediction Models for Medical Data Sets
AmitKumar.html
BikashKantiSarkar.html
http___dx.doi.org_10.4018_978-1-7998-8048-6 http://dx.doi.org/10.4018/978-1-7998-8048-6
http___dx.doi.org_10.4018_978-1-7998-8048-6.ch044 http://dx.doi.org/10.4018/978-1-7998-8048-6.ch044
KUMAR:2020:JBI A novel fitness function in genetic programming for medical data classification
ArvindKumar.html
NishantSinha.html
ArpitBhardwaj.html
https___www.sciencedirect.com_science_article_pii_S1532046420302513 https://www.sciencedirect.com/science/article/pii/S1532046420302513
http___dx.doi.org_10.1016_j.jbi.2020.103623 http://dx.doi.org/10.1016/j.jbi.2020.103623
2022AssessWeight Assessment of Weight Factor in Genetic Programming Fitness Function for Imbalanced Data Classification
ArvindKumar.html
ShivaniGoel.html
NishantSinha.html
ArpitBhardwaj.html
http___dx.doi.org_10.1007_978-3-030-97196-0_1 http://dx.doi.org/10.1007/978-3-030-97196-0_1
kumar:2022:AC A Logarithmic Distance-Based Multi-Objective Genetic Programming Approach for Classification of Imbalanced Data
ArvindKumar.html
ShivaniGoel.html
NishantSinha.html
ArpitBhardwaj.html
http___link.springer.com_chapter_10.1007_978-3-030-95502-1_23 http://link.springer.com/chapter/10.1007/978-3-030-95502-1_23
http___dx.doi.org_10.1007_978-3-030-95502-1_23 http://dx.doi.org/10.1007/978-3-030-95502-1_23
kumar:2022:ADIS Predicting the Presence of Newt-Amphibian Using Genetic Programming
ArvindKumar.html
NishantSinha.html
ArpitBhardwaj.html
http___link.springer.com_chapter_10.1007_978-981-16-5689-7_19 http://link.springer.com/chapter/10.1007/978-981-16-5689-7_19
http___dx.doi.org_10.1007_978-981-16-5689-7_19 http://dx.doi.org/10.1007/978-981-16-5689-7_19
kumar2021clinical Clinical risk assessment of chronic kidney disease patients using genetic programming
ArvindKumar.html
NishantSinha.html
ArpitBhardwaj.html
ShivaniGoel.html
http___dx.doi.org_10.1080_10255842.2021.1985476 http://dx.doi.org/10.1080/10255842.2021.1985476
Kumar:JETAI A new fitness function in genetic programming for classification of imbalanced data
ArvindKumar.html
http___dx.doi.org_10.1080_0952813X.2022.2120087 http://dx.doi.org/10.1080/0952813X.2022.2120087
Kumar:2014:CEA Regression model for sediment transport problems using multi-gene symbolic genetic programming
BimleshKumar.html
AnjaneyaJha.html
VishalDeshpande.html
GopuSreenivasulu.html
http___dx.doi.org_10.1016_j.compag.2014.02.010 http://dx.doi.org/10.1016/j.compag.2014.02.010
http___www.sciencedirect.com_science_article_pii_S016816991400057X http://www.sciencedirect.com/science/article/pii/S016816991400057X
Kumar:2012:IJCER Modification on Non-Cryptographic Hash Function
CKrishnaKumar.html
CSuyambulingom.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.412.7669 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.412.7669
http___www.ijceronline.com_papers__NCASSGC__F29-35.pdf http://www.ijceronline.com/papers/(NCASSGC)/F29-35.pdf
kumar:2013:ES Performance assessment of genetic programming (GP) and minimax probability machine regression (MPMR) for prediction of seismic ultrasonic attenuation
ManojKumar.html
ManavMittal.html
PijushSamui.html
http___link.springer.com_article_10.1007_s11589-013-0018-z http://link.springer.com/article/10.1007/s11589-013-0018-z
http___dx.doi.org_10.1007_s11589-013-0018-z http://dx.doi.org/10.1007/s11589-013-0018-z
Kumar2:2008:gecco Evolution of hyperheuristics for the biobjective 0/1 knapsack problem by multiobjective genetic programming
RajeevKumar.html
AshwinHJoshi.html
KrishnaKBanka.html
PeterIRockett.html
http___gpbib.cs.ucl.ac.uk_gecco2008_docs_p1227.pdf http://gpbib.cs.ucl.ac.uk/gecco2008/docs/p1227.pdf
http___dx.doi.org_10.1145_1389095.1389335 http://dx.doi.org/10.1145/1389095.1389335
DBLP:conf/gecco/KumarBR09 Multiobjective genetic programming approach to evolving heuristics for the bounded diameter minimum spanning tree problem: MOGP for BDMST
RajeevKumar.html
BipulKumarBal.html
PeterIRockett.html
http___dx.doi.org_10.1145_1569901.1569945 http://dx.doi.org/10.1145/1569901.1569945
kumar:1999:TAI The ABCs of evolutionary design: Investigating the evolvability of embryogenies for morphogenesis
SanjeevKumar.html
PeterJBentley.html
http___www.cs.ucl.ac.uk_staff_P.Bentley_KUBEC1.pdf http://www.cs.ucl.ac.uk/staff/P.Bentley/KUBEC1.pdf
Kumar:2000:GECCOlb Implicit Evolvability: An Investigation into the Evolvability of an Embryogeny
SanjeevKumar.html
PeterJBentley.html
http___www.cs.ucl.ac.uk_staff_ucacpjb_KUBEC2.pdf http://www.cs.ucl.ac.uk/staff/ucacpjb/KUBEC2.pdf
kumar:gfc On Growth, Form and Computers
SanjeevKumar.html
PeterJBentley.html
http___www.amazon.com_Growth-Form-Computers-Sanjeev-Kumar_dp_0124287654 http://www.amazon.com/Growth-Form-Computers-Sanjeev-Kumar/dp/0124287654
kumar:2005:CEC The Art of Nature: Evolving Mechanisms of Development for Self- Organization and Differentiation
SanjeevKumar.html
http___dx.doi.org_10.1109_CEC.2005.1554731 http://dx.doi.org/10.1109/CEC.2005.1554731
Kumar:2010:ACE An Efficient Embedding and Restoration Steganographic Scheme for Secure Multimedia Communication
GireeshKumarT.html
SapnaSasidharan.html
NRKarthikha.html
APSherly.html
YAvani.html
http___dx.doi.org_10.1109_ACE.2010.50 http://dx.doi.org/10.1109/ACE.2010.50
conf/semcco/KumarMSP11 A Study of Decision Tree Induction for Data Stream Mining Using Boosting Genetic Programming Classifier
DirisalaJNagendraKumar.html
JVRMurthy.html
SureshChandraSatapathy.html
SVVSRKumarPullela.html
http___dx.doi.org_10.1007_978-3-642-27172-4_39 http://dx.doi.org/10.1007/978-3-642-27172-4_39
kumar:2022:IJERPH Automated Machine Learning (AutoML)-Derived Preconception Predictive Risk Model to Guide Early Intervention for Gestational Diabetes Mellitus
MukkeshKumar.html
LiTingAng.html
HangPng.html
MaisieNg.html
KarenTan.html
SeeLingLoy.html
KokHianTan.html
JerryKokYenChan.html
KeithMGodfrey.html
Shiao-yngChan.html
YapSengChong.html
JohanGEriksson.html
MenglingFeng.html
NeerjaKarnani.html
https___www.mdpi.com_1660-4601_19_11_6792 https://www.mdpi.com/1660-4601/19/11/6792
http___dx.doi.org_10.3390_ijerph19116792 http://dx.doi.org/10.3390/ijerph19116792
Kumar:2013:IJISTA Comparative analysis of software reliability predictions using statistical and machine learning methods
PradeepKumar.html
YogeshSingh.html
http___www.inderscience.com_link.php_id_56529 http://www.inderscience.com/link.php?id=56529
http___dx.doi.org_10.1504_IJISTA.2013.056529 http://dx.doi.org/10.1504/IJISTA.2013.056529
kumar:2023:GECCOcomp Extending Tree-Based Automated Machine Learning to Biomedical Image and Text Data Using Custom Feature Extractors
RachitKumar.html
JosephRomano.html
MarylynDRitchie.html
JasonHMoore.html
http___dx.doi.org_10.1145_3583133.3590584 http://dx.doi.org/10.1145/3583133.3590584
Kumar:2021:IJAMC Reliability Analysis of Circular Footing by Using GP and MPMR
RahulKumar.html
PijushSamui.html
SunitaKumari.html
YildirimDalkilic.html
https___www.igi-global.com_article_reliability-analysis-of-circular-footing-by-using-gp-and-mpmr_268388 https://www.igi-global.com/article/reliability-analysis-of-circular-footing-by-using-gp-and-mpmr/268388
http___dx.doi.org_10.4018_IJAMC.2021010101 http://dx.doi.org/10.4018/IJAMC.2021010101
Kumar:2012:IJSCE Classification Rule Discovery for Diabetes Patients by Using Genetic Programming
RajKumar2.html
RajeshKVerma.html
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http___www.ijsce.org_v2i4.php http://www.ijsce.org/v2i4.php
KUMAR:2021:JH Intercomparison of downscaling methods for daily precipitation with emphasis on wavelet-based hybrid models
YedithaPavanKumar.html
RathinasamyMaheswaran.html
AnkitAgarwal.html
BellieSivakumar.html
http___dx.doi.org_10.1016_j.jhydrol.2021.126373 http://dx.doi.org/10.1016/j.jhydrol.2021.126373
https___www.sciencedirect.com_science_article_pii_S0022169421004200 https://www.sciencedirect.com/science/article/pii/S0022169421004200
kumar:2021:Processes A Hybrid Genetic Programming-Gray Wolf Optimizer Approach for Process Optimization of Biodiesel Production
VikasKumar.html
KanakKalita.html
SMadhu.html
UvarajaRagavendran.html
Xiao-ZhiGao.html
https___www.mdpi.com_2227-9717_9_3_442 https://www.mdpi.com/2227-9717/9/3/442
http___dx.doi.org_10.3390_pr9030442 http://dx.doi.org/10.3390/pr9030442
Kumarci:2010:JAS Calculation of Plate Natural Frequency by Genetic Programming
KKumarci.html
PooyaKhosraviyanDehkordi.html
IMahmodi.html
http___docsdrive.com_pdfs_ansinet_jas_2010_451-461.pdf http://docsdrive.com/pdfs/ansinet/jas/2010/451-461.pdf
Kumaresan:2014:ASC Optimal control for stochastic linear quadratic singular neuro Takagi-Sugeno fuzzy system with singular cost using genetic programming
NallasamyKumaresan.html
KuruRatnavelu.html
http___dx.doi.org_10.1016_j.asoc.2014.08.006 http://dx.doi.org/10.1016/j.asoc.2014.08.006
http___www.sciencedirect.com_science_article_pii_S1568494614003718 http://www.sciencedirect.com/science/article/pii/S1568494614003718
Kumari:2018:IJCBDD A genetic programming-based approach and machine learning approaches to the classification of multiclass anti-malarial datasets
MadhulataKumari.html
NeerajTiwari.html
NaiduSubbarao.html
http___dx.doi.org_10.1504_IJCBDD.2018.096125 http://dx.doi.org/10.1504/IJCBDD.2018.096125
Kumari:2013:IJERD Data Classification with Genetic Programming (Gp) -- A Case Study
NPrasannaKumari.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.416.321 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.416.321
http___www.ijerd.com_paper_vol7-issue4_I0704047054.pdf http://www.ijerd.com/paper/vol7-issue4/I0704047054.pdf
KUMARPANDA:2023:eswa Hyperparameter optimized classification pipeline for handling unbalanced urban and rural energy consumption patterns
DeepakKumarPanda.html
SaptarshiDas.html
StuartTownley.html
http___dx.doi.org_10.1016_j.eswa.2022.119127 http://dx.doi.org/10.1016/j.eswa.2022.119127
https___www.sciencedirect.com_science_article_pii_S0957417422021455 https://www.sciencedirect.com/science/article/pii/S0957417422021455
KUMMER:2019:CCE Genetic programming-based development of thermal runaway criteria
AlexKummer.html
TamasVarga.html
JanosAbonyi.html
http___dx.doi.org_10.1016_j.compchemeng.2019.106582 http://dx.doi.org/10.1016/j.compchemeng.2019.106582
http___www.sciencedirect.com_science_article_pii_S0098135419306428 http://www.sciencedirect.com/science/article/pii/S0098135419306428
DBLP:conf/csii/KumoyamaHO19 A New Probabilistic Tree Expression for Probabilistic Model Building Genetic Programming
DaichiKumoyama.html
YoshikoHanada.html
KeikoOno.html
https___doi.org_10.1007_978-3-030-25225-0_9 https://doi.org/10.1007/978-3-030-25225-0_9
http___dx.doi.org_10.1007_978-3-030-25225-0_9 http://dx.doi.org/10.1007/978-3-030-25225-0_9
https___dblp.org_rec_conf_csii_KumoyamaHO19.bib https://dblp.org/rec/conf/csii/KumoyamaHO19.bib
conf/icaisc/KunaverF16 Grammatical Evolution in a Matrix Factorization Recommender System
MatevzKunaver.html
IztokFajfar.html
http___dx.doi.org_10.1007_978-3-319-39378-0 http://dx.doi.org/10.1007/978-3-319-39378-0
http___dx.doi.org_10.1007_978-3-319-39378-0_34 http://dx.doi.org/10.1007/978-3-319-39378-0_34
kunaver:2022:Mathematics Automatic Grammatical Evolution-Based Optimization of Matrix Factorization Algorithm
MatevzKunaver.html
ArpadBurmen.html
IztokFajfar.html
https___www.mdpi.com_2227-7390_10_7_1139 https://www.mdpi.com/2227-7390/10/7/1139
http___dx.doi.org_10.3390_math10071139 http://dx.doi.org/10.3390/math10071139
weko_142733_1 A Music Composition Model with Genetic Programming: A Case Study of Chord Progression and Bassline
KanaeKunimatsu.html
YuuIshikawa.html
MasamiTakata.html
JoeKazuki.html
http___id.nii.ac.jp_1001_00142669_ http://id.nii.ac.jp/1001/00142669/
https___ipsj.ixsq.nii.ac.jp_ej_IPSJ-MPS15104007.pdf https://ipsj.ixsq.nii.ac.jp/ej/IPSJ-MPS15104007.pdf
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Kunimatsu:2015:PDPTA A Music Composition Model with Genetic Programming -A Case Study of Chord Progression and Bassline-
KanaeKunimatsu.html
YuuIshikawa.html
MasamiTakata.html
JoeKazuki.html
http___worldcomp-proceedings.com_proc_p2015_PDP7079.pdf http://worldcomp-proceedings.com/proc/p2015/PDP7079.pdf
journals/soco/KuoHC07 Applying genetic programming technique in classification trees
Chan-ShengKuo.html
Tzung-PeiHong.html
SamuelChuen-LungChen.html
http___dx.doi.org_10.1007_s00500-007-0159-x http://dx.doi.org/10.1007/s00500-007-0159-x
Kuo:2008:ICHIT A Knowledge-Evolution Strategy Based on Genetic Programming
Chan-ShengKuo.html
Tzung-PeiHong.html
SamuelChuen-LungChen.html
http___dx.doi.org_10.1109_ICHIT.2008.169 http://dx.doi.org/10.1109/ICHIT.2008.169
journals/cas/KuoHC08 An Improved Knowledge-Acquisition Strategy Based on Genetic Programming
Chan-ShengKuo.html
Tzung-PeiHong.html
SamuelChuen-LungChen.html
http___dx.doi.org_10.1080_01969720802257881 http://dx.doi.org/10.1080/01969720802257881
Kuo:2010:ICCIT Classification of protein-protein recognition with genetic programming
Huang-ChengKuo.html
Kuan-YuSu.html
Jia-HaoLi.html
Ping-LinOng.html
http___dx.doi.org_10.1109_ICCIT.2010.5711148 http://dx.doi.org/10.1109/ICCIT.2010.5711148
Kuo:2011:BIBE Classification and Screening of Recognition Protein Complexes with Genetic Programming
Huang-ChengKuo.html
Jia-HaoLi.html
http___dx.doi.org_10.1109_BIBE.2011.51 http://dx.doi.org/10.1109/BIBE.2011.51
Kuo:2005:IJFS Evolutionary Agents for Intelligent Transport Systems
Jong-YihKuo.html
Shin-JieLee.html
ChiaLingWu.html
NienLinHsueh.html
JonathanLee.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.469.4317 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.469.4317
http___www.csie.ntu.edu.tw__jlee_publication_Evolutionary-Agents-for-Intelligent-Transport-System.pdf http://www.csie.ntu.edu.tw/~jlee/publication/Evolutionary-Agents-for-Intelligent-Transport-System.pdf
DwightKuo2006177 Network topology and the evolution of dynamics in an artificial genetic regulatory network model created by whole genome duplication and divergence
PDwightKuo.html
WolfgangBanzhaf.html
AndreLeier.html
http___dx.doi.org_10.1016_j.biosystems.2006.01.004 http://dx.doi.org/10.1016/j.biosystems.2006.01.004
http___www.sciencedirect.com_science_article_B6T2K-4JVT1VS-1_2_7810c8e58f3e12020b48fe28d9e52097 http://www.sciencedirect.com/science/article/B6T2K-4JVT1VS-1/2/7810c8e58f3e12020b48fe28d9e52097
kuo:2003:CEF Genetic Programming and International Short-Term Capital Flow
Tzu-WenKuo.html
Shu-HengChen.html
Kuo:2013:CEC Dynamic Stock Trading System based on Quantum-Inspired Tabu Search Algorithm
Shu-YuKuo.html
ChunKuo.html
Yao-HsinChou.html
http___dx.doi.org_10.1109_CEC.2013.6557680 http://dx.doi.org/10.1109/CEC.2013.6557680
Kuperberg:2008:CBSE Performance Prediction for Black-Box Components Using Reengineered Parametric Behaviour Models
MichaelKuperberg.html
KlausKrogmann.html
RalfHReussner.html
http___dx.doi.org_10.1007_978-3-540-87891-9_4 http://dx.doi.org/10.1007/978-3-540-87891-9_4
Thesis_Final_Cry Genetic programming approach for non-stationary data analytics
CryKuranga.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_Thesis_Final_Cry.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/Thesis_Final_Cry.pdf
Kuranga:GPEM Genetic programming-based regression for temporal data
CryKuranga.html
NelishiaPillay.html
http___dx.doi.org_10.1007_s10710-021-09404-w http://dx.doi.org/10.1007/s10710-021-09404-w
kuranga:2023:AISC A Comparative Study of Genetic Programming Variants
CryKuranga.html
NelishiaPillay.html
http___link.springer.com_chapter_10.1007_978-3-031-23492-7_32 http://link.springer.com/chapter/10.1007/978-3-031-23492-7_32
http___dx.doi.org_10.1007_978-3-031-23492-7_32 http://dx.doi.org/10.1007/978-3-031-23492-7_32
Kurashige:2003:IRS Reusing Primitive and Acquired Motion Knowledge for Gait Generation of a Six-legged Robot Using Genetic Programming
KentarouKurashige.html
ToshioFukuda.html
HaruoHoshino.html
http___dx.doi.org_10.1023_A_1026204313001 http://dx.doi.org/10.1023/A:1026204313001
Kureichik:2016:ieeeAICT Generation of bioinspired search procedures for optimization problems
VladimirVictorovichKureichik.html
DmitryZaporozhets.html
DariaViktorovnaZaruba.html
http___dx.doi.org_10.1109_ICAICT.2016.7991822 http://dx.doi.org/10.1109/ICAICT.2016.7991822
Kurniawan:thesis Improved Tidal and Non-Tidal Representation of Numerical Models through Data Model Integration
AlamsyahKurniawan.html
http___www.scholarbank.nus.edu.sg_handle_10635_50814 http://www.scholarbank.nus.edu.sg/handle/10635/50814
http___www.scholarbank.nus.edu.sg_handle_10635_3.pdf http://www.scholarbank.nus.edu.sg/handle/10635/3.pdf
Kurniawan:2014:HIC Improved Sea Level Anomaly Prediction Through Genetic Programming In Singapore Regional Waters
AlamsyahKurniawan.html
SengKeatOoi.html
VladanBabovic.html
http___www.hic2014.org_xmlui_Kurniawan_2014_HIC.pdf http://www.hic2014.org/xmlui/Kurniawan_2014_HIC.pdf
Kurniawan:2014:CG Improved sea level anomaly prediction through combination of data relationship analysis and genetic programming in Singapore Regional Waters
AlamsyahKurniawan.html
SengKeatOoi.html
VladanBabovic.html
http___dx.doi.org_10.1016_j.cageo.2014.07.007 http://dx.doi.org/10.1016/j.cageo.2014.07.007
http___www.sciencedirect.com_science_article_pii_S0098300414001642 http://www.sciencedirect.com/science/article/pii/S0098300414001642
Kuroda:2018:ieeeSMC Effectiveness of Multi-step Crossover in Extrapolation Domain for Genetic Programming
MaoKuroda.html
YoshikoHanada.html
KeikoOno.html
http___dx.doi.org_10.1109_SMC.2018.00618 http://dx.doi.org/10.1109/SMC.2018.00618
Kuroda20101287 Application of advanced Grammatical Evolution to function prediction problem
TakuyaKuroda.html
HirotoIwasawa.html
EisukeKita.html
http___dx.doi.org_10.1016_j.advengsoft.2010.09.005 http://dx.doi.org/10.1016/j.advengsoft.2010.09.005
http___www.sciencedirect.com_science_article_B6V1P-5167DR5-1_2_d992cacdff191a5bc78722add7146d07 http://www.sciencedirect.com/science/article/B6V1P-5167DR5-1/2/d992cacdff191a5bc78722add7146d07
kurose:2012:ALR Asynchronous migration for parallel genetic programming on a computer cluster with multi-core processors
ShingoKurose.html
KunihitoYamamori.html
MasaruAikawa.html
IkuoYoshihara.html
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Kurra:2015:JMRT Modeling and optimization of surface roughness in single point incremental forming process
KurraSuresh.html
NasihHifzurRahman.html
SrinivasaPrakashRegalla.html
AmitKumarGupta.html
http___dx.doi.org_10.1016_j.jmrt.2015.01.003 http://dx.doi.org/10.1016/j.jmrt.2015.01.003
http___www.sciencedirect.com_science_article_pii_S2238785415000071 http://www.sciencedirect.com/science/article/pii/S2238785415000071
Kurse:2012:ieeeBE Extrapolatable Analytical Functions for Tendon Excursions and Moment Arms From Sparse Datasets
ManishUKurse.html
HodLipson.html
FranciscoValero-Cuevas.html
http___dx.doi.org_10.1109_TBME.2012.2189771 http://dx.doi.org/10.1109/TBME.2012.2189771
Kurugodu:2018:AES Genetic programming for soil-fiber composite assessment
KurugoduHarshaVardhan.html
SanandamBordoloi.html
YiHong.html
AnkitGarg.html
AkhilGarg.html
SekharanSreedeep.html
AHGandomi.html
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http___dx.doi.org_10.1016_j.advengsoft.2018.04.004 http://dx.doi.org/10.1016/j.advengsoft.2018.04.004
Kuscu:1994:dANNuGA Design of artificial neural networks using genetic algorithms: review and prospect
IbrahimKuscu.html
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Kuscu:1995:elrst1 Evolution of learning rules for supervised tasks I: simple learning problems
IbrahimKuscu.html
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Kuscu:1995:elrst2 Evolution of learning rules for supervised tasks II: hard learning problems
IbrahimKuscu.html
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Kuscu:1995:elrstMP Incrementally learning the rules for supervised tasks: the Monk's problems
IbrahimKuscu.html
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kuscu:1996:elrhlp Evolution of Learning Rules for Hard Learning Problems
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kuscu:1996:GPiasslp Genetic Programming and Incremental Aproaches to Solve Supervised Learning Problems
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bensusan:1996:ciGP Constructive Induction using Genetic Programming
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kuscu:1996:eimshlp Evolutionary and Incremental Methods to Solve Hard Learning Problems
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kuscu:1996:eimshlpLB Evolutionary and Incremental Methods to Solve Hard Learning Problems
IbrahimKuscu.html
Kuscu:1997:stfe Generalisation and Artificial Ant Problem
IbrahimKuscu.html
kuscu:1996:sGPslp Simple Genetic Programming for Supervised Learning Problems
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kuscu:1998:egb Evolving a Generalised Behavior: Artificial Ant Problem Revisited
IbrahimKuscu.html
http___dx.doi.org_10.1007_BFb0040753 http://dx.doi.org/10.1007/BFb0040753
kuscu:1998:mpgGP A Method of Promoting Generalisation in Genetic Programming
IbrahimKuscu.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_gp1998_kuscu_1998_mpgGP.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/gp1998/kuscu_1998_mpgGP.pdf
Kuscu:1998:gGP Generalisation and Genetic Programming
IbrahimKuscu.html
kuscu:1998:pglbGP Promoting Generalisation of Learned Behaviours in Genetic Programming
IbrahimKuscu.html
http___dx.doi.org_10.1007_BFb0056891 http://dx.doi.org/10.1007/BFb0056891
kuscu:2000:gdsfgp Generalisation and Domain Specific Functions in Genetic Programming
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http___dx.doi.org_10.1109_CEC.2000.870815 http://dx.doi.org/10.1109/CEC.2000.870815
kuscu:thesis Evolutionary Generalisation and Genetic Programming
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http___ethos.bl.uk_OrderDetails.do_did_11_uin_uk.bl.ethos.285062 http://ethos.bl.uk/OrderDetails.do?did=11&uin=uk.bl.ethos.285062
kushchu:2002:AIR An Evaluation of Evolutionary Generalisation in Genetic Programming
IbrahimKuscu.html
http___dx.doi.org_10.1023_A_1016379201230 http://dx.doi.org/10.1023/A:1016379201230
ieee-ec:Kushchu:2002 Genetic programming and evolutionary generalization
IbrahimKuscu.html
http___dx.doi.org_10.1109_TEVC.2002.805038 http://dx.doi.org/10.1109/TEVC.2002.805038
Kushida:2014:IWCIA A novel tree differential evolution using inter-symbol distance
Jun-ichiKushida.html
AkiraHara.html
TetsuyukiTakahama.html
http___dx.doi.org_10.1109_IWCIA.2014.6988087 http://dx.doi.org/10.1109/IWCIA.2014.6988087
Kushida:2015:ieeeIWCIA Cartesian Ant Programming with node release mechanism
Jun-ichiKushida.html
AkiraHara.html
TetsuyukiTakahama.html
http___ieeexplore.ieee.org_xpl_articleDetails.jsp_arnumber_7449467 http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7449467
http___dx.doi.org_10.1109_IWCIA.2015.7449467 http://dx.doi.org/10.1109/IWCIA.2015.7449467
Kushida:2016:IWCIA Cartesian ant programming with transition rule considering internode distance
Jun-ichiKushida.html
AkiraHara.html
TetsuyukiTakahama.html
ShogoNagura.html
http___dx.doi.org_10.1109_IWCIA.2016.7805756 http://dx.doi.org/10.1109/IWCIA.2016.7805756
Kushida:2017:IWCIA Cartesian Ant Programming Introducing Symbiotic Relationship between Ants and Aphids
Jun-ichiKushida.html
AkiraHara.html
TetsuyukiTakahama.html
NaoyaMimura.html
http___dx.doi.org_10.1109_IWCIA.2017.8203571 http://dx.doi.org/10.1109/IWCIA.2017.8203571
Kushida:2018:ieeeSMC Cartesian Genetic Programming with Module Mutation for Symbolic Regression
Jun-ichiKushida.html
AkiraHara.html
TetsuyukiTakahama.html
http___dx.doi.org_10.1109_SMC.2018.00038 http://dx.doi.org/10.1109/SMC.2018.00038
Kusiak:2000:SPIE Evolutionary computation and data mining
AndrewKusiak.html
http___www.icaen.uiowa.edu__ankusiak_Res-in-Prog_SPIE-1.pdf http://www.icaen.uiowa.edu/~ankusiak/Res-in-Prog/SPIE-1.pdf
http___dx.doi.org_10.1117_12.403636 http://dx.doi.org/10.1117/12.403636
kusiak:2001:ME Evolutionary Computation in Design and Manufacturing
AndrewKusiak.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_kusiak_2001_ME.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/kusiak_2001_ME.pdf
Kusiak2009440 Innovation: A data-driven approach
AndrewKusiak.html
http___dx.doi.org_10.1016_j.ijpe.2009.06.025 http://dx.doi.org/10.1016/j.ijpe.2009.06.025
http___www.sciencedirect.com_science_article_B6VF8-4WKTWVR-2_2_73fdc80f743b54ffb2f1449b44d434cd http://www.sciencedirect.com/science/article/B6VF8-4WKTWVR-2/2/73fdc80f743b54ffb2f1449b44d434cd
Kusiak:2011:ieeeTSusE A Data-Driven Approach for Monitoring Blade Pitch Faults in Wind Turbines
AndrewKusiak.html
AnoopVerma.html
http___dx.doi.org_10.1109_TSTE.2010.2066585 http://dx.doi.org/10.1109/TSTE.2010.2066585
Kusy:2013:MBEC Application of gene expression programming and neural networks to predict adverse events of radical hysterectomy in cervical cancer patients
MaciejKusy.html
BogdanObrzut.html
JacekKluska.html
http___www.ncbi.nlm.nih.gov_pmc_articles_PMC3825140 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3825140
http___www.ncbi.nlm.nih.gov_pubmed_24136688 http://www.ncbi.nlm.nih.gov/pubmed/24136688
http___dx.doi.org_10.1007_s11517-013-1108-8 http://dx.doi.org/10.1007/s11517-013-1108-8
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.1029.4333 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.1029.4333
http___dx.doi.org_10.1007_s11517-013-1108-8 http://dx.doi.org/10.1007/s11517-013-1108-8
Kusyk:2021:QE Survey on Quantum Circuit Compilation for Noisy Intermediate-Scale Quantum Computers: Artificial Intelligence to Heuristics
JanuszKusyk.html
SamahMSaeed.html
MuharremUmitUyar.html
http___dx.doi.org_10.1109_TQE.2021.3068355 http://dx.doi.org/10.1109/TQE.2021.3068355
kusznir:2022:Sensors Multi-Gene Genetic Programming-Based Identification of a Dynamic Prediction Model of an Overhead Traveling Crane
TomKusznir.html
JaroslawSmoczek.html
https___www.mdpi.com_1424-8220_22_1_339 https://www.mdpi.com/1424-8220/22/1/339
http___dx.doi.org_10.3390_s22010339 http://dx.doi.org/10.3390/s22010339
kutuk:2022:CP Biosorption of methyl orange from aqueous solution with hemp waste, investigation of isotherm, kinetic and thermodynamic studies and modeling using multigene genetic programming
NursahKutuk.html
SibelArslan.html
http___link.springer.com_article_10.1007_s11696-022-02411-w http://link.springer.com/article/10.1007/s11696-022-02411-w
http___dx.doi.org_10.1007_s11696-022-02411-w http://dx.doi.org/10.1007/s11696-022-02411-w
oai:arXiv.org:0909.3039 Multivariate Techniques for Identifying Diffractive Interactions at the LHC
MikaelKuusela.html
JerryWLamsa.html
EricMalmi.html
PetteriMehtala.html
RistoOrava.html
http___arxiv.org_abs_0909.3039 http://arxiv.org/abs/0909.3039
Kuyucu:2009:cec Task Decomposition and Evolvability in Intrinsic Evolvable Hardware
TuzeKuyucu.html
MartinATrefzer.html
JulianFMiller.html
AndrewMTyrrell.html
http___dx.doi.org_10.1109_CEC.2009.4983224 http://dx.doi.org/10.1109/CEC.2009.4983224
Kuyucu:thesis Evolution of circuits in hardware and the evolvability of artificial development
TuzeKuyucu.html
http___etheses.whiterose.ac.uk_1020_1_FinalSubmission_Thesis.pdf http://etheses.whiterose.ac.uk/1020/1/FinalSubmission_Thesis.pdf
http___etheses.whiterose.ac.uk_1020_ http://etheses.whiterose.ac.uk/1020/
Kuyucu:2013:Robotics Hormone-Inspired Behaviour Switching for the Control of Collective Robotic Organisms
TuzeKuyucu.html
IvanTTanev.html
KatsunoriShimohara.html
http___www.mdpi.com_2218-6581_2_3_165 http://www.mdpi.com/2218-6581/2/3/165
http___dx.doi.org_10.3390_robotics2030165 http://dx.doi.org/10.3390/robotics2030165
Kuyucu:2015:Neurocomputing Superadditive effect of multi-robot coordination in the exploration of unknown environments via stigmergy
TuzeKuyucu.html
IvanTTanev.html
KatsunoriShimohara.html
http___www.sciencedirect.com_science_article_pii_S0925231214009242 http://www.sciencedirect.com/science/article/pii/S0925231214009242
http___dx.doi.org_10.1016_j.neucom.2012.07.062 http://dx.doi.org/10.1016/j.neucom.2012.07.062
Kuyucu:2017:miller Artificial Development
TuzeKuyucu.html
MartinATrefzer.html
AndrewMTyrrell.html
http___dx.doi.org_10.1007_978-3-319-67997-6_16 http://dx.doi.org/10.1007/978-3-319-67997-6_16
Kvasnieka:1997:WSC2 Simple Implementation of Genetic Programming by Column Tables
VladimirKvasnicka.html
JiriPospichal.html
http___www.springer.com_engineering_mechanical_eng_book_978-3-540-76214-0_cm_mmc_Google-_-Book_20Search-_-Springer-_-0 http://www.springer.com/engineering/mechanical+eng/book/978-3-540-76214-0?cm_mmc=Google-_-Book%20Search-_-Springer-_-0
http___dx.doi.org_10.1007_978-1-4471-0427-8_6 http://dx.doi.org/10.1007/978-1-4471-0427-8_6
Kwak:2016:AAP Predicting crash risk and identifying crash precursors on Korean expressways using loop detector data
Ho-ChanKwak.html
SeungyoungKho.html
http___dx.doi.org_10.1016_j.aap.2015.12.004 http://dx.doi.org/10.1016/j.aap.2015.12.004
http___www.sciencedirect.com_science_article_pii_S0001457515301561 http://www.sciencedirect.com/science/article/pii/S0001457515301561
kwasnicka:2006:GSP Genetic Programming in Data Modelling
HalinaKwasnicka.html
EwaSzpunar-Huk.html
http___dx.doi.org_10.1007_3-540-32498-4_5 http://dx.doi.org/10.1007/3-540-32498-4_5
Kwasnicka:2006:FIMCSIT EMOT - Evolutionary Approach to 3D Computer Animation
HalinaKwasnicka.html
PiotrWozniak.html
http___www.konferencja2006.pti.katowice.pl_fimcsit_pliks_185.pdf http://www.konferencja2006.pti.katowice.pl/fimcsit/pliks/185.pdf
http___www.ci.pwr.wroc.pl__kwasnick_download_kwasnickawozniakaaia.pdf http://www.ci.pwr.wroc.pl/~kwasnick/download/kwasnickawozniakaaia.pdf
Kwi14 Challenges in automated verification and synthesis for molecular programming
MartaKwiatkowska.html
http___research.microsoft.com_apps_pubs__id_226237 http://research.microsoft.com/apps/pubs/?id=226237
http___research.microsoft.com_pubs_226237_Luca-Cardelli-Fest-MSR-TR-2014-104.pdf http://research.microsoft.com/pubs/226237/Luca-Cardelli-Fest-MSR-TR-2014-104.pdf
http___www.veriware.org_papers_paper.pdf http://www.veriware.org/papers/paper.pdf
kwon:2001:gecco Personalized Email Marketing with a Genetic Programming Circuit Model
Yung-KeunKwon.html
Byung-RoMoon.html
http___gpbib.cs.ucl.ac.uk_gecco2001_d24.pdf http://gpbib.cs.ucl.ac.uk/gecco2001/d24.pdf
https___dl.acm.org_doi_10.5555_2955239.2955470 https://dl.acm.org/doi/10.5555/2955239.2955470
1144161 Nonlinear parametric regression in genetic programming
Yung-KeunKwon.html
Sung-SoonChoi.html
Byung-RoMoon.html
http___gpbib.cs.ucl.ac.uk_gecco2006_docs_p943.pdf http://gpbib.cs.ucl.ac.uk/gecco2006/docs/p943.pdf
http___dx.doi.org_10.1145_1143997.1144161 http://dx.doi.org/10.1145/1143997.1144161
Kyle-Davidson:2018:CEEC Neural Network Components for Evolved Vision Systems
CameronPKyle-Davidson.html
AdrianFClark.html
http___dx.doi.org_10.1109_CEEC.2018.8674219 http://dx.doi.org/10.1109/CEEC.2018.8674219
Kyriakou:2022:MISQ Novelty and the Structure of Design Landscapes: A Relational View of Online Innovation Communities
HarrisKyriakou.html
JeffreyVNickerson.html
AnnMajchrzak.html
https___misq.umn.edu_novelty-and-the-structure-of-design-landscapes-a-relational-view-of-online-innovation-communities.html https://misq.umn.edu/novelty-and-the-structure-of-design-landscapes-a-relational-view-of-online-innovation-communities.html
http___dx.doi.org_10.25300_MISQ_2022_15059 http://dx.doi.org/10.25300/MISQ/2022/15059
laane:1995:DNCVHTSGP Development of Navigational Controllers for Vehicles in Highway Traffic Situations via Genetic Programming
LisaALaane.html
LABAFNIYA:2020:ASC On the feasibility of using evolvable hardware for hardware Trojan detection and prevention
MansourehLabafniya.html
StjepanPicek.html
ShahramEtemadiBorujeni.html
NeleMentens.html
http___dx.doi.org_10.1016_j.asoc.2020.106247 http://dx.doi.org/10.1016/j.asoc.2020.106247
http___www.sciencedirect.com_science_article_pii_S1568494620301873 http://www.sciencedirect.com/science/article/pii/S1568494620301873
LaCava:2014:GPTP Inheritable Epigenetics in Genetic Programming
WilliamLaCava.html
LeeSpector.html
http___dx.doi.org_10.1007_978-3-319-16030-6_3 http://dx.doi.org/10.1007/978-3-319-16030-6_3
LaCava:2014:GECCOcomp Evolving differential equations with developmental linear genetic programming and epigenetic hill climbing
WilliamLaCava.html
LeeSpector.html
KouroshDanai.html
MatthewALackner.html
http___doi.acm.org_10.1145_2598394.2598491 http://doi.acm.org/10.1145/2598394.2598491
http___dx.doi.org_10.1145_2598394.2598491 http://dx.doi.org/10.1145/2598394.2598491
LaCava:2015:GECCO Genetic Programming with Epigenetic Local Search
WilliamLaCava.html
ThomasHelmuth.html
LeeSpector.html
KouroshDanai.html
http___doi.acm.org_10.1145_2739480.2754763 http://doi.acm.org/10.1145/2739480.2754763
http___dx.doi.org_10.1145_2739480.2754763 http://dx.doi.org/10.1145/2739480.2754763
LaCava:thesis Automatic Development and Adaptation of Concise Nonlinear Models for System Identification
WilliamLaCava.html
http___scholarworks.umass.edu_dissertations_2_731_ http://scholarworks.umass.edu/dissertations_2/731/
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LaCava:2016:RE Automatic identification of wind turbine models using evolutionary multiobjective optimization
WilliamLaCava.html
KouroshDanai.html
LeeSpector.html
PaulFleming.html
AlanWright.html
MatthewALackner.html
http___dx.doi.org_10.1016_j.renene.2015.09.068 http://dx.doi.org/10.1016/j.renene.2015.09.068
http___www.sciencedirect.com_science_article_pii_S0960148115303475 http://www.sciencedirect.com/science/article/pii/S0960148115303475
LaCava:2016:GECCO Epsilon-lexicase Selection for Regression
WilliamLaCava.html
LeeSpector.html
KouroshDanai.html
https___arxiv.org_abs_1905.13266 https://arxiv.org/abs/1905.13266
http___dx.doi.org_10.1145_2908812.2908898 http://dx.doi.org/10.1145/2908812.2908898
LaCava:2016:EAAI Inference of compact nonlinear dynamic models by epigenetic local search
WilliamLaCava.html
KouroshDanai.html
LeeSpector.html
http___www.sciencedirect.com_science_article_pii_S0952197616301294 http://www.sciencedirect.com/science/article/pii/S0952197616301294
http___dx.doi.org_10.1016_j.engappai.2016.07.004 http://dx.doi.org/10.1016/j.engappai.2016.07.004
LaCava:2017:EuroGP A General Feature Engineering Wrapper for Machine Learning Using epsilon-Lexicase Survival
WilliamLaCava.html
JasonHMoore.html
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http___dx.doi.org_10.1007_978-3-319-55696-3_6 http://dx.doi.org/10.1007/978-3-319-55696-3_6
https___github.com_lacava_few https://github.com/lacava/few
LaCava:2017:evoApplications Genetic Programming Representations for Multi-dimensional Feature Learning in Biomedical Classification
WilliamLaCava.html
SaraSilva.html
LeonardoVanneschi.html
LeeSpector.html
JasonHMoore.html
http___dx.doi.org_10.1007_978-3-319-55849-3_11 http://dx.doi.org/10.1007/978-3-319-55849-3_11
LaCava:2017:GECCO Ensemble Representation Learning: An Analysis of Fitness and Survival for Wrapper-based Genetic Programming Methods
WilliamLaCava.html
JasonHMoore.html
http___doi.acm.org_10.1145_3071178.3071215 http://doi.acm.org/10.1145/3071178.3071215
http___dx.doi.org_10.1145_3071178.3071215 http://dx.doi.org/10.1145/3071178.3071215
LaCava:2019:ICLR Learning concise representations for regression by evolving networks of tree
WilliamLaCava.html
TilakRajSingh.html
JamesTaggart.html
SrinivasSuri.html
JasonHMoore.html
https___arxiv.org_abs_1807.00981 https://arxiv.org/abs/1807.00981
https___openreview.net_forum_id_Hke-JhA9Y7 https://openreview.net/forum?id=Hke-JhA9Y7
https___openreview.net_pdf_id_Hke-JhA9Y7 https://openreview.net/pdf?id=Hke-JhA9Y7
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WilliamLaCava.html
ThomasHelmuth.html
LeeSpector.html
JasonHMoore.html
http___dx.doi.org_10.1162_evco_a_00224 http://dx.doi.org/10.1162/evco_a_00224
LaCava:2018:GECCOcomp A multidimensional genetic programming approach for identifying epsistatic gene interactions
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SaraSilva.html
KouroshDanai.html
LeeSpector.html
LeonardoVanneschi.html
JasonHMoore.html
http___dx.doi.org_10.1145_3205651.3208217 http://dx.doi.org/10.1145/3205651.3208217
LACAVA:2019:SEC Multidimensional genetic programming for multiclass classification
WilliamLaCava.html
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KouroshDanai.html
LeeSpector.html
LeonardoVanneschi.html
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http___www.sciencedirect.com_science_article_pii_S2210650217309136 http://www.sciencedirect.com/science/article/pii/S2210650217309136
http___dx.doi.org_10.1016_j.swevo.2018.03.015 http://dx.doi.org/10.1016/j.swevo.2018.03.015
LaCava:2019:GECCO Semantic variation operators for multidimensional genetic programming
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JasonHMoore.html
http___dx.doi.org_10.1145_3321707.3321776 http://dx.doi.org/10.1145/3321707.3321776
LaCava:GPEM Learning feature spaces for regression with genetic programming
WilliamLaCava.html
JasonHMoore.html
http___dx.doi.org_https___doi.org_10.1007_s10710-020-09383-4 http://dx.doi.org/https://doi.org/10.1007/s10710-020-09383-4
LaCava:2020:GECCO Genetic Programming Approaches to Learning Fair Classifiers
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https___doi.org_10.1145_3377930.3390157 https://doi.org/10.1145/3377930.3390157
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LaCava:2021:NeurIPS Contemporary Symbolic Regression Methods and their Relative Performance
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https___arxiv.org_abs_2107.14351 https://arxiv.org/abs/2107.14351
https___nips.cc_virtual_2021_datasets-and-benchmarks_38447 https://nips.cc/virtual/2021/datasets-and-benchmarks/38447
https___github.com_cavalab_srbench https://github.com/cavalab/srbench
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LaCava:2022:GPTP When to stop: an analysis of thresholdout for symbolic regression
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LaCava:2023:npjdm A flexible symbolic regression method for constructing interpretable clinical prediction models
WilliamLaCava.html
PaulCLee.html
ImranAjmal.html
XiruoDing.html
PriyankaSolanki.html
JordanaBCohen.html
JasonHMoore.html
DanielSHerman.html
https___human-competitive.org_sites_default_files_entry_2.txt https://human-competitive.org/sites/default/files/entry_2.txt
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https___rdcu.be_dfKUO https://rdcu.be/dfKUO
http___dx.doi.org_10.1038_s41746-023-00833-8 http://dx.doi.org/10.1038/s41746-023-00833-8
lach:2004:AI Learning Intelligent Behaviors of Animated Agents by Means of Genetic Programming
EwaLach.html
http___www.bg.polsl.pl_expertusbin_expertus.cgi_KAT__2Fvar_2Fwww_2Fbibgl_2Fexpertusdata_2Fpar_2F_FST_data.fst_FDT_data.fdt_ekran_ISO_lnkmsk_2_cond_AND_mask_2_F_00_06_V_00_Proceedings_on_VI_International_Conference_on_Artificial_Intelligence_AI-19_20 http://www.bg.polsl.pl/expertusbin/expertus.cgi?KAT=%2Fvar%2Fwww%2Fbibgl%2Fexpertusdata%2Fpar%2F&FST=data.fst&FDT=data.fdt&ekran=ISO&lnkmsk=2&cond=AND&mask=2&F_00=06&V_00=Proceedings+on+VI+International+Conference+on+Artificial+Intelligence+AI-19+20
lach:2005:AI-20 Automatic Generation of Animation of Virtual Humans
EwaLach.html
Lach:thesis Wybrane techniki wspomagajsce animacje autonomicznych postaci wirtualnych
EwaLach.html
http___delibra.bg.polsl.pl_dlibra_docmetadata_id_5224_from__dirids_1_ver_id__lp_1_QI_ http://delibra.bg.polsl.pl/dlibra/docmetadata?id=5224&from=&dirids=1&ver_id=&lp=1&QI=
Ewa:2007:SI Automatic Strategies for Autonomous Virtual Characters
EwaLach.html
http___www.studiainformatica.ii.uph.edu.pl_volume.php_id_9 http://www.studiainformatica.ii.uph.edu.pl/volume.php?id=9
http___www.studiainformatica.ii.uph.edu.pl_download_81.pdf http://www.studiainformatica.ii.uph.edu.pl/download/81.pdf
Lacomis:2019:eclm Automatically Reducing Energy Consumption of Software
JeremyLacomis.html
JonathanDorn.html
WestleyWeimer.html
StephanieForrest.html
https___www.cs.cmu.edu__jlacomis_materials_LacomisAutomaticallyReducing2019.pdf https://www.cs.cmu.edu/~jlacomis/materials/LacomisAutomaticallyReducing2019.pdf
https___www.sfipress.org_books_energetics-of-computing-in-life-and-machines https://www.sfipress.org/books/energetics-of-computing-in-life-and-machines
https___www.amazon.co.uk_Energetics-Computing-Life-Machines_dp_1947864076_asin_1947864076 https://www.amazon.co.uk/Energetics-Computing-Life-Machines/dp/1947864076?asin=1947864076
Lacy:2013:GECCOcomp Characterisation of movement disorder in parkinson's disease using evolutionary algorithms
StuartELacy.html
MichaelALones.html
StephenLSmith.html
JaneEAlty.html
DRStuartJamieson.html
KatherineLPossin.html
NorbertSchuff.html
http___dx.doi.org_10.1145_2464576.2482726 http://dx.doi.org/10.1145/2464576.2482726
lacy2015forming Forming classifier ensembles with multimodal evolutionary algorithms
StuartELacy.html
MichaelALones.html
StephenLSmith.html
http___dx.doi.org_10.1109_CEC.2015.7256962 http://dx.doi.org/10.1109/CEC.2015.7256962
lacy2015comparison A comparison of evolved linear and non-linear ensemble vote aggregators
StuartELacy.html
MichaelALones.html
StephenLSmith.html
http___dx.doi.org_10.1109_CEC.2015.7256967 http://dx.doi.org/10.1109/CEC.2015.7256967
Lacy:thesis Modeling Movement Disorders in Parkinson's Disease using Computational Intelligence
StuartELacy.html
https___ethos.bl.uk_OrderDetails.do_uin_uk.bl.ethos.685246_ https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.685246?
http___etheses.whiterose.ac.uk_12964_ http://etheses.whiterose.ac.uk/12964/
https___etheses.whiterose.ac.uk_12964_1_StuartLacy_finalthesis.pdf https://etheses.whiterose.ac.uk/12964/1/StuartLacy_finalthesis.pdf
Ladekar:2012:IJERA Automatic Text Summarization Using:Fuzzy GA-GP
AparnaLadekar.html
ArchanaMujumdar.html
PrajaktaNipane.html
SonamTitar.html
MrsKavithaS.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.416.8018 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.416.8018
http___www.ijera.com_papers_Vol2_issue2_JF2215511555.pdf http://www.ijera.com/papers/Vol2_issue2/JF2215511555.pdf
Ladley:2015:JEBO Fragmentation and stability of markets
DanLadley.html
TerjeLensberg.html
JanPalczewski.html
KlausReinerSchenk-Hoppe.html
http___www.sciencedirect.com_science_article_pii_S0167268115002565 http://www.sciencedirect.com/science/article/pii/S0167268115002565
http___dx.doi.org_10.1016_j.jebo.2015.09.013 http://dx.doi.org/10.1016/j.jebo.2015.09.013
LADLEY:2020:JEDC The high frequency trade off between speed and sophistication
DanLadley.html
http___dx.doi.org_10.1016_j.jedc.2020.103912 http://dx.doi.org/10.1016/j.jedc.2020.103912
http___www.sciencedirect.com_science_article_pii_S0165188920300804 http://www.sciencedirect.com/science/article/pii/S0165188920300804
Lagos:2016:cjece Improving Tabu Search Performance by Means of Automatic Parameter Tuning
CarolinaLagos.html
BroderickCrawford.html
RicardoSoto.html
EnriqueCabrera.html
JorgeVega.html
FranklinJohnson.html
FernandoParedes.html
http___dx.doi.org_10.1109_CJECE.2015.2496338 http://dx.doi.org/10.1109/CJECE.2015.2496338
Lahiri:1997:galjq Gnetic Optimization of Large Join Queries
TirthankarLahiri.html
lai:2003:DUMFUGP Discovery of Understandable Math Formulas Using Genetic Programming
TimothyLai.html
http___www.genetic-programming.org_sp2003_Lai.pdf http://www.genetic-programming.org/sp2003/Lai.pdf
lai:2019:Sustainability Modeling the Nonlinearity of Sea Level Oscillations in the Malaysian Coastal Areas Using Machine Learning Algorithms
VivienLai.html
AlMahfoodhAliNajahAhmed.html
MarlindaBintiAbdulMalek.html
HaithamAbdulmohsinAfan.html
RusulKhaleelIbrahim.html
AhmedHusseinKamelAhmedElshafie.html
AmrEl-Shafie.html
https___www.mdpi.com_2071-1050_11_17_4643 https://www.mdpi.com/2071-1050/11/17/4643
http___dx.doi.org_10.3390_su11174643 http://dx.doi.org/10.3390/su11174643
Laibinis:2021:R Mutation Testing for Rule-Based Verification of Railway Signaling Data
LinasLaibinis.html
AlexeiIliasov.html
AlexanderRomanovsky.html
http___dx.doi.org_10.1109_TR.2020.3047462 http://dx.doi.org/10.1109/TR.2020.3047462
LajovicCarneiro:2011:TLA Genetic programming applied to programmable logic controllers programming
MarcosLajovicCarneiro.html
LeonardodaCunhaBrito.html
SergioGranatodeAraujo.html
PauloCesarMirandaMachado.html
PauloHenriquePortelaCarvalho.html
http___dx.doi.org_10.1109_TLA.2011.5893771 http://dx.doi.org/10.1109/TLA.2011.5893771
Lakhotia:2013:SBST En Garde: Winning Coding Duels Through Genetic Programming
KiranLakhotia.html
http___www.cs.ucl.ac.uk_staff_K.Lakhotia_docs_sbst2013-fast.pdf http://www.cs.ucl.ac.uk/staff/K.Lakhotia/docs/sbst2013-fast.pdf
http___dx.doi.org_10.1109_ICSTW.2013.79 http://dx.doi.org/10.1109/ICSTW.2013.79
Lakshminarayanan:2000:CCE New product design via analysis of historical databases
SLakshminarayanan.html
HFujii.html
BenyaminGrosman.html
EyalDassau.html
DanielRLewin.html
http___www.sciencedirect.com_science_article_B6TFT-448HNR0-2P_2_eecc15ac2e7cad2e662af963aa783893 http://www.sciencedirect.com/science/article/B6TFT-448HNR0-2P/2/eecc15ac2e7cad2e662af963aa783893
http___dx.doi.org_10.1016_S0098-1354_00_00406-3 http://dx.doi.org/10.1016/S0098-1354(00)00406-3
Lal:2018:SusTech Genetic Programming and Gaussian Process Regression Models for Groundwater Salinity Prediction: Machine Learning for Sustainable Water Resources Management
AlvinLal.html
BithinDatta.html
http___dx.doi.org_10.1109_SusTech.2018.8671343 http://dx.doi.org/10.1109/SusTech.2018.8671343
Lalejini:2018:GECCO Evolving event-driven programs with SignalGP
AlexanderLalejini.html
CharlesOfria.html
http___dx.doi.org_10.1145_3205455.3205523 http://dx.doi.org/10.1145/3205455.3205523
Lalejini:2018:AL Evolving Reactive Agents with SignalGP
AlexanderLalejini.html
CharlesOfria.html
https___doi.org_10.1162_isal_a_00069 https://doi.org/10.1162/isal_a_00069
http___dx.doi.org_10.1162_isal_a_00069 http://dx.doi.org/10.1162/isal_a_00069
lalejini:2018:GPTP What Else Is in an Evolved Name? Exploring Evolvable Specificity with SignalGP
AlexanderLalejini.html
CharlesOfria.html
http___link.springer.com_chapter_10.1007_978-3-030-04735-1_6 http://link.springer.com/chapter/10.1007/978-3-030-04735-1_6
http___dx.doi.org_10.1007_978-3-030-04735-1_6 http://dx.doi.org/10.1007/978-3-030-04735-1_6
Lalejini:2019:GECCOcomp Tag-accessed memory for genetic programming
AlexanderLalejini.html
CharlesOfria.html
http___dx.doi.org_10.1145_3319619.3321892 http://dx.doi.org/10.1145/3319619.3321892
DBLP:journals/corr/abs-2012-09229 Tag-based Genetic Regulation for Genetic Programming
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MatthewAndresMoreno.html
CharlesOfria.html
https___arxiv.org_abs_2012.09229 https://arxiv.org/abs/2012.09229
https___dblp.org_rec_journals_corr_abs-2012-09229.bib https://dblp.org/rec/journals/corr/abs-2012-09229.bib
Lalejini:thesis Evolving Phenotypically Plastic Digital Organisms
AlexanderLalejini.html
https___d.lib.msu.edu_etd_49783 https://d.lib.msu.edu/etd/49783
https___d.lib.msu.edu_etd_49783_OBJ_download https://d.lib.msu.edu/etd/49783/OBJ/download
http___dx.doi.org_10.25335_tk9p-ke12 http://dx.doi.org/10.25335/tk9p-ke12
Lalejini:2021:GPEM Tag-based regulation of modules in genetic programming improves context-dependent problem solving
AlexanderLalejini.html
MatthewAndresMoreno.html
CharlesOfria.html
http___dx.doi.org_10.1007_s10710-021-09406-8 http://dx.doi.org/10.1007/s10710-021-09406-8
lalejini:2022:GECCOhop Tag-based Module Regulation for Genetic Programming
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MatthewAndresMoreno.html
CharlesOfria.html
http___dx.doi.org_10.1145_3520304.3534060 http://dx.doi.org/10.1145/3520304.3534060
https___vimeo.com_721571770 https://vimeo.com/721571770
Lalejini:2023:GPTP Phylogeny-Informed Fitness Estimation for Test-Based Parent Selection
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MatthewAndresMoreno.html
JoseGuadalupeHernandez.html
EmilyDolson.html
http___dx.doi.org_10.1007_978-981-99-8413-8_13 http://dx.doi.org/10.1007/978-981-99-8413-8_13
lam:doh:gecco2004 Discovery of Human-Competitive Image Texture Feature Extraction Programs Using Genetic Programming
BrianLam.html
VictorCiesielski.html
http___www.genetic-programming.org_gecco2004hc_lam-paper.pdf http://www.genetic-programming.org/gecco2004hc/lam-paper.pdf
https___researchrepository.rmit.edu.au_esploro_outputs_9921863828201341 https://researchrepository.rmit.edu.au/esploro/outputs/9921863828201341
http___dx.doi.org_10.1007_978-3-540-24855-2_121 http://dx.doi.org/10.1007/978-3-540-24855-2_121
lam:2005:CEC Applying Genetic Programming to Learn Spatial Differences Between Textures Using A Translation Invariant Representation
BrianLam.html
VictorCiesielski.html
http___dx.doi.org_10.1109_CEC.2005.1554968 http://dx.doi.org/10.1109/CEC.2005.1554968
lam-phd-2012 Discovery of Texture Features Using Genetic Programming
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http___researchbank.rmit.edu.au_eserv_rmit_160245_Lam.pdf http://researchbank.rmit.edu.au/eserv/rmit:160245/Lam.pdf
http___www.cs.rmit.edu.au__vc_papers_lam-phd-2012.pdf http://www.cs.rmit.edu.au/~vc/papers/lam-phd-2012.pdf
Lamenca-Martinez:PPSN:2006 Lamar: A New Pseudorandom Number Generator Evolved by Means of Genetic Programming
CarlosLamenca-Martinez.html
JulioCesarHernandez-Castro.html
JuanManuelEstevez-Tapiador.html
DArturoRibagordaGarnacho.html
http___ppsn2006.raunvis.hi.is_proceedings_202.pdf http://ppsn2006.raunvis.hi.is/proceedings/202.pdf
http___dx.doi.org_10.1007_11844297_86 http://dx.doi.org/10.1007/11844297_86
DBLP:conf/nips/LandajuelaLYGSA22 A Unified Framework for Deep Symbolic Regression
MikelLandajuela.html
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JiachenYang.html
RubenGlatt.html
ClaudioPSantiago.html
IgnacioAravena.html
TNathanMundhenk.html
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BrendenKylePetersen.html
https___dblp.org_rec_conf_nips_LandajuelaLYGSA22.bib https://dblp.org/rec/conf/nips/LandajuelaLYGSA22.bib
http___papers.nips.cc_paper_files_paper_2022_hash_dbca58f35bddc6e4003b2dd80e42f838-Abstract-Conference.html http://papers.nips.cc/paper_files/paper/2022/hash/dbca58f35bddc6e4003b2dd80e42f838-Abstract-Conference.html
https___proceedings.neurips.cc_paper_files_paper_2022_hash_dbca58f35bddc6e4003b2dd80e42f838-Abstract-Conference.html https://proceedings.neurips.cc/paper_files/paper/2022/hash/dbca58f35bddc6e4003b2dd80e42f838-Abstract-Conference.html
https___proceedings.neurips.cc_paper_files_paper_2022_file_dbca58f35bddc6e4003b2dd80e42f838-Paper-Conference.pdf https://proceedings.neurips.cc/paper_files/paper/2022/file/dbca58f35bddc6e4003b2dd80e42f838-Paper-Conference.pdf
https___github.com_cavalab_srbench https://github.com/cavalab/srbench
Landa-Silva:2013:GPEM Franz Rothlauf: Design of Modern Heuristics
DarioLanda-Silva.html
http___dx.doi.org_10.1007_s10710-012-9170-9 http://dx.doi.org/10.1007/s10710-012-9170-9
schweitzer03 Interactive GP for Data Retrieval in Medical Databases
YannLandrin-Schweitzer.html
PierreCollet.html
EvelyneLutton.html
http___metronum.inria.fr_html_Papers_files_ps_133_Elise-Final-EuroGP03.ps.gz http://metronum.inria.fr/html/Papers/files/ps/133_Elise-Final-EuroGP03.ps.gz
http___dx.doi.org_10.1007_3-540-36599-0_9 http://dx.doi.org/10.1007/3-540-36599-0_9
Landrin-Schweitzer:2006:GPEM Introducing lateral thinking in search engines
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PierreCollet.html
EvelyneLutton.html
http___metronum.inria.fr_html_Papers_files_pdf_170_Elise-v9-expedieGPEM.pdf http://metronum.inria.fr/html/Papers/files/pdf/170_Elise-v9-expedieGPEM.pdf
http___dx.doi.org_10.1007_s10710-006-7008-z http://dx.doi.org/10.1007/s10710-006-7008-z
Landry:2006:SCI Discriminant Feature Selection by Genetic Programming: Towards a domain independent multi-class object detection system
Jacques-AndreLandry.html
LuisEDaCosta.html
ThomasBernier.html
http___www.iiisci.org_Journal_sci_Abstract.asp_var__id_P718270 http://www.iiisci.org/Journal/sci/Abstract.asp?var=&id=P718270
Landsborough:2015:gi Removing the Kitchen Sink from Software
JasonLandsborough.html
StephenHarding.html
SunnyFugate.html
http___gpbib.cs.ucl.ac.uk_gi2015_removing_the_kitchen_sink_from_software.pdf http://gpbib.cs.ucl.ac.uk/gi2015/removing_the_kitchen_sink_from_software.pdf
http___doi.acm.org_10.1145_2739482.2768424 http://doi.acm.org/10.1145/2739482.2768424
http___dx.doi.org_10.1145_2739482.2768424 http://dx.doi.org/10.1145/2739482.2768424
http___gpbib.cs.ucl.ac.uk_gi2015_gi_2015_slides_landsborough http://gpbib.cs.ucl.ac.uk/gi2015/gi_2015_slides/landsborough
Landsborough:2017:GI Learning from Super-Mutants: searching post-apocalyptic software ecosystems for novel semantics-preserving transforms
JasonLandsborough.html
StephenHarding.html
SunnyFugate.html
http___geneticimprovementofsoftware.com_wp-content_uploads_2017_05_landsborough2017_supermutants.pdf http://geneticimprovementofsoftware.com/wp-content/uploads/2017/05/landsborough2017_supermutants.pdf
http___dx.doi.org_10.1145_3067695.3082525 http://dx.doi.org/10.1145/3067695.3082525
Landsborough:2018:GI Evolutionary Fuzzing for Genetic Improvement: Toward Adaptive Software Defense
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BryanBeabout.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_icse2018_gi2018_papers_Landsborough_2018_GI.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/icse2018/gi2018/papers/Landsborough_2018_GI.pdf
http___dx.doi.org_10.1145_3194810.3194819 http://dx.doi.org/10.1145/3194810.3194819
Lane:2014:PPSN On Effective and Inexpensive Local Search Techniques in Genetic Programming
FergalLane.html
RMuhammadAtifAzad.html
ConorRyan.html
http___www.open-access.bcu.ac.uk_id_eprint_4601 http://www.open-access.bcu.ac.uk/id/eprint/4601
http___dx.doi.org_10.1007_978-3-319-10762-2_44 http://dx.doi.org/10.1007/978-3-319-10762-2_44
Lane:2014:AISB Evolving process-based models from psychological data using genetic programming
PeterCRLane.html
PeterDSozou.html
MarkAddis.html
FernandGobet.html
http___eprints.lse.ac.uk_66170_ http://eprints.lse.ac.uk/66170/
http___eprints.lse.ac.uk_66170_1___lse.ac.uk_storage_LIBRARY_Secondary_libfile_shared_repository_Content_Sozou_2CP.D_Sozou_Evolving_Process-Based_Models.pdf http://eprints.lse.ac.uk/66170/1/__lse.ac.uk_storage_LIBRARY_Secondary_libfile_shared_repository_Content_Sozou%2CP.D_Sozou_Evolving_Process-Based_Models.pdf
RN5388 Analysing psychological data by evolving computational models
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FernandGobet.html
MarkAddis.html
https___link.springer.com_chapter_10.1007_978-3-319-25226-1_50 https://link.springer.com/chapter/10.1007/978-3-319-25226-1_50
http___dx.doi.org_10.1007_978-3-319-25226-1_50 http://dx.doi.org/10.1007/978-3-319-25226-1_50
lane:2022:ICCM Evolving understandable cognitive models
PeterCRLane.html
LauraBartlett.html
NomanJaved.html
AngeloPirrone.html
FernandGobet.html
https___mathpsych.org_session_209 https://mathpsych.org/session/209
https___researchprofiles.herts.ac.uk_files_46343553_iccm_2022.pdf https://researchprofiles.herts.ac.uk/files/46343553/iccm_2022.pdf
lane:2023:AISB Evolving Time-Dependent Cognitive Models
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NomanJaved.html
AngeloPirrone.html
LauraBartlett.html
FernandGobet.html
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langdon:1999:fairx2p Size Fair Tree Crossovers
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langdon:2000:gpembooks Genetic Programming and Evolvable Machines: Books and other Resources
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langdon:1999:benelearn1 Genetic Programming Approach to Benelearn 99: I
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langdon:2000:random Genetic Programming Bloat without Semantics
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langdon:2000:quad Quadratic Bloat in Genetic Programming
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langdon:2001:gROC Genetic Programming for Combining Classifiers
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langdon:2001:dea Dynamics of Evolutionary Algorithms
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langdon:2001:mcs Genetic Programming for Improved Receiver Operating Characteristics
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langdon:2001:edf Evolutionary Data Fusion
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langdon:2001:wsc6 Genetic Programming for Combining Neural Networks for Drug Discovery
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langdon:2001:pred Prediction
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langdon:fogp Foundations of Genetic Programming
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langdon:2002:dagstuhl Structure of the Genetic Programming Search Space
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langdon:2002:sees Characteristics of the Genetic Programming Search Space
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langdon:2002:EuroGP Combining Decision Trees and Neural Networks for Drug Discovery
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langdon:2002:crlp Convergence Rates for the Distribution of Program Outputs
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langdon:2002:occam Was Occam Wrong? Blunting Occam's Razor
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langdon:2002:geccolb Random Search is Parsimonious
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langdon:2002:foga How many Good Programs are there? How Long are they?
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langdon:2002:crlp2p Size of Random Programs to ensure Uniformity
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langdon:2002:kdmdd Combining Machine Learning techniques to Predict Compounds' Cytochrome P450 High Throughput Screening Inhibition
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langdon:2002:iberamia Application of genetic programming in drug lead discovery
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his02Plenary:Langdon A Hybrid Genetic Programming Neural Network Classifier for Use in Drug Discovery
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langdon:2003:normal The distribution of Reversible Functions is Normal
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langdon:2003:gecco Convergence of Program Fitness Landscapes
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langdon:2003:UCLS Predicting Cancer
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langdon:2003:igr The Application of Genetic Programming for Drug Discovery in the Pharmaceutical Industry. EPSRC RAIS Secondment with GlaxoSmithKline
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langdon:2003:CEC Predicting Biochemical Interactions -- Human P450 2D6 Enzyme Inhibition
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langdon:2004:ECDM Genetic Programming in Data Mining for Drug Discovery
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langdon:2004:GPEM Genetic Programming for Mining DNA Chip data from Cancer Patients
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langdon:2004:EuroGP Global Distributed Evolution of L-Systems Fractals
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langdon:2004:geccolb Repeated Sequences in Linear GP Genomes
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langdon:2004:EuroGPA Lindenmayer Systems Fractals Evolved by Pfeiffer 10~September -- 9~November 2003
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langdon:2005:CS Repeated Sequences in Linear Genetic Programming Genomes
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langdon:2005:pongtr Evolutionary Solo Pong Players
WilliamBLangdon.html
RiccardoPoli.html
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WilliamBLangdon.html
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langdon:2005:metas Pfeiffer -- A Distributed Open-ended Evolutionary System
WilliamBLangdon.html
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langdon:2005:amorphous The Distribution of Amorphous Computer Outputs
WilliamBLangdon.html
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langdon:2005:gpembooks Genetic Programming and Evolvable Machines: Five years of Reviews
WilliamBLangdon.html
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langdon:2005:SIS Understanding Particle Swarm Optimisation by Evolving Problem Landscapes
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langdon:2005:CECa Evolutionary Solo Pong Players
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langdon:2005:CECb Evolving Problems to Learn about Particle Swarm and other Optimisers
WilliamBLangdon.html
RiccardoPoli.html
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langdon:2005:CECb2p Evolving Benchmarks
WilliamBLangdon.html
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langdon:2005:CSM443 Kernel methods for PSOs
WilliamBLangdon.html
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langdon:2005:CSM445 On Turing complete T7 and MISC F-4 program fitness landscapes
WilliamBLangdon.html
RiccardoPoli.html
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langdon:2006:eurogp The Halting Probability in von~Neumann Architectures
WilliamBLangdon.html
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langdon:2006:CEC Finding Social Landscapes for PSOs via Kernels
WilliamBLangdon.html
RiccardoPoli.html
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langdon:2006:CSM455 Evolving Problems to Learn about Particle Swarm Optimisers and other Search Algorithms
WilliamBLangdon.html
RiccardoPoli.html
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langdon_et_al:DSP:2006:595 On Turing complete T7 and MISC F--4 program fitness landscapes
WilliamBLangdon.html
RiccardoPoli.html
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langdon:2006:eurogp2p The Halting Probability in von Neumann Architectures
WilliamBLangdon.html
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langdon:2006:csm457 Predicting Ten Thousand Bits from Ten Thousand Inputs
WilliamBLangdon.html
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langdon:2006:UC Mapping Non-conventional Extensions of Genetic Programming
WilliamBLangdon.html
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http___dx.doi.org_10.1007_11839132_14 http://dx.doi.org/10.1007/11839132_14
langdon:2006:TEC Evolving Problems to Learn about Particle Swarm Optimisers and other Search Algorithms
WilliamBLangdon.html
RiccardoPoli.html
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langdon:2007:NC Mapping Non-conventional Extensions of Genetic Programming
WilliamBLangdon.html
RiccardoPoli.html
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langdon:2007:sigevo Web Usage of the GP Bibliography
WilliamBLangdon.html
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http___dx.doi.org_10.1145_1229735.1229738 http://dx.doi.org/10.1145/1229735.1229738
langdon:2005:NC Repeated Patterns in Genetic Programming
WilliamBLangdon.html
WolfgangBanzhaf.html
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langdon:2007:csm470 A SIMD interpreter for Genetic Programming on GPU Graphics Cards
WilliamBLangdon.html
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langdon:2008:eurogp A SIMD Interpreter for Genetic Programming on GPU Graphics Cards
WilliamBLangdon.html
WolfgangBanzhaf.html
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langdon:2007:coa An Eigen Analysis of the GP Community
WilliamBLangdon.html
RiccardoPoli.html
WolfgangBanzhaf.html
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langdon:2008:CES-481 Genetic Programming for Drug Discovery
WilliamBLangdon.html
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langdon:2008:CIGPU2 Evolving GeneChip Correlation Predictors on Parallel Graphics Hardware
WilliamBLangdon.html
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http___dx.doi.org_10.1109_CEC.2008.4631364 http://dx.doi.org/10.1109/CEC.2008.4631364
langdon:2008:SC GP on SPMD parallel Graphics Hardware for mega Bioinformatics Data Mining
WilliamBLangdon.html
AndrewPHarrison.html
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langdon:2008:dagstuhl A field guide to genetic programming
WilliamBLangdon.html
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langdon:2008:bookshelf A Field Guide to Genetic Programing
WilliamBLangdon.html
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langdon:2008:CES-483 Evolving Regular Expressions for GeneChip Probe Performance Prediction
WilliamBLangdon.html
AndrewPHarrison.html
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langdon:2008:PPSN Evolving Regular Expressions for GeneChip Probe Performance Prediction
WilliamBLangdon.html
AndrewPHarrison.html
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langdon:2007:gpem Scaling of Program Functionality
WilliamBLangdon.html
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langdon:2009:AMB Evolving DNA motifs to Predict GeneChip Probe Performance
WilliamBLangdon.html
AndrewPHarrison.html
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langdon:2009:TR-09-02 Creating Regular Expressions as mRNA Motifs with GP to Predict Human Exon Splitting
WilliamBLangdon.html
JRowsell.html
AndrewPHarrison.html
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langdon:2009:gecco Creating Regular Expressions as mRNA Motifs with GP to Predict Human Exon Splitting
WilliamBLangdon.html
JRowsell.html
AndrewPHarrison.html
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langdon:2009:gecco2 Multi Objective Higher Order Mutation Testing with GP
WilliamBLangdon.html
MarkHarman.html
YueJia.html
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langdon:2009:TAICPART Multi Objective Mutation Testing with Genetic Programming
WilliamBLangdon.html
MarkHarman.html
YueJia.html
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langdon:2009:TR-09-05 A CUDA SIMT Interpreter for Genetic Programming
WilliamBLangdon.html
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langdon:2009:pdci Large Scale Bioinformatics Data Mining with Parallel Genetic Programming on Graphics Processing Units
WilliamBLangdon.html
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http___www.springer.com_engineering_book_978-3-642-10674-3 http://www.springer.com/engineering/book/978-3-642-10674-3
http___dx.doi.org_10.1007_978-3-642-10675-0_6 http://dx.doi.org/10.1007/978-3-642-10675-0_6
arXiv:1002.0065v1 Automated DNA Motif Discovery
WilliamBLangdon.html
OliviaSanchezGraillet.html
AndrewPHarrison.html
http___arxiv.org_abs_1002.0065v1 http://arxiv.org/abs/1002.0065v1
langdon:2010:eurogp A Many Threaded CUDA Interpreter for Genetic Programming
WilliamBLangdon.html
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http___dx.doi.org_10.1007_978-3-642-12148-7_13 http://dx.doi.org/10.1007/978-3-642-12148-7_13
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langdon:TR-10-02 Evolving gzip matches Kernel from an nVidia CUDA Template
WilliamBLangdon.html
MarkHarman.html
http___www.dcs.kcl.ac.uk_technical-reports_papers_TR-10-02.pdf http://www.dcs.kcl.ac.uk/technical-reports/papers/TR-10-02.pdf
langdon:2010:GPEM Genetic Programming and Evolvable Machines: ten years of reviews
WilliamBLangdon.html
StevenMGustafson.html
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langdon:2010:TR-10-07 Evolving a CUDA Kernel from an nVidia Template
WilliamBLangdon.html
MarkHarman.html
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langdon:2010:cigpu Evolving a CUDA Kernel from an nVidia Template
WilliamBLangdon.html
MarkHarman.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_langdon_2010_cigpu.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/langdon_2010_cigpu.pdf
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http___dx.doi.org_10.1109_CEC.2010.5585922 http://dx.doi.org/10.1109/CEC.2010.5585922
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_gp-code_langdon_2010_cigpu.tar.gz http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/gp-code/langdon_2010_cigpu.tar.gz
langdon:2010:jss Efficient multi-objective higher order mutation testing with genetic programming
WilliamBLangdon.html
MarkHarman.html
YueJia.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_langdon_jss.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/langdon_jss.pdf
http___dx.doi.org_10.1016_j.jss.2010.07.027 http://dx.doi.org/10.1016/j.jss.2010.07.027
langdon:2010:hbmh Genetic Programming
WilliamBLangdon.html
RI_Bob_McKay.html
LeeSpector.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_langdon_2010_hbmh.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/langdon_2010_hbmh.pdf
http___dx.doi.org_10.1007_978-1-4419-1665-5_7 http://dx.doi.org/10.1007/978-1-4419-1665-5_7
Langdon:2010:fogaRN 2-bit Flip Mutation Elementary Fitness Landscapes
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langdon:2011:foga Elementary Bit String Mutation Landscapes
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langdon:2011:SC Graphics Processing Units and Genetic Programming: An overview
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langdon:2011:geccoRN Minimising Testing in Genetic Programming
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langdon:2011:gecco Generalisation in Genetic Programming
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langdon:2012:ACM The Halting Problem in the Clear Light of Probability
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Langdon:2012:emerald Initial experiences of the Emerald: e-Infrastructure South GPU supercomputer
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Langdon:2012:mendel Genetic Improvement of Programs
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langdon_2012_sigevolution Distilling GeneChips with Genetic Programming on the Emerald GPU supercomputer
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Langdon:RN1209 Genetically Improving 50000 Lines of C++
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langdon:2013:ecgpu Large Scale Bioinformatics Data Mining with Parallel Genetic Programming on Graphics Processing Units
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Langdon:RN1303 Which is faster: Bowtie2GP $>$ Bowtie $>$ Bowtie2 $>$ BWA
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Langdon:2013:GECCOlb Which is faster: Bowtie2GP $>$ Bowtie $>$ Bowtie2 $>$ BWA
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Langdon:2013:ieeeTEC Optimising Existing Software with Genetic Programming
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Langdon:RN1312 Using Genetic Programming to Model Software
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langdon:2014:EuroGP Genetically Improved CUDA C++ Software
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Langdon_RN1402 Genetically Improved CUDA kernels for StereoCamera
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Langdon:2014:GECCO Improving 3D Medical Image Registration CUDA Software with Genetic Programming
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Langdon:gecco2014_hot Improving Source Code with Genetic Programming
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langdon:2014:sigevolution News of the GP Bibliography http://www.cs.bham.ac.uk/~wbl/biblio/
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langdon:2014:synasc Genetic Improvement of Programs
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Langdon:2014:BDM Performance of Genetic Programming Optimised Bowtie2 on Genome Comparison and Analytic Testing (GCAT) Benchmarks
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Langdon:2014:ukmac Improved CUDA 3D Medical Image Registration
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Langdon:2015:GECCO Improving CUDA DNA Analysis Software with Genetic Programming
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langdon:2015:gi_pknots Grow and Graft a better CUDA pknotsRG for RNA pseudoknot free energy calculation
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langdon:2015:gi Genetic Improvement 2015 Chairs' Welcome
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Langdon:2015:SSBSE Genetic Improvement of Software for Multiple Objectives
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langdon:2015:csdc Software is Not Fragile
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langdon:2015:hbgpa Genetically Improved Software
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langdon:2016:ieeeblog Genetic Improvement
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langdon:RN1604 The Genetic Improvement Fitness Landscape
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langdon:2016:GI Benchmarking Genetically Improved BarraCUDA on Epigenetic Methylation NGS datasets and nVidia GPUs
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langdon:2016:cec Genetic Improvement: A Key Challenge for Evolutionary Computation
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Langdon:2016:PPSN Optimising Quantisation Noise in Energy Measurement
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Langdon:2016:PPSNa Kin Selection with Twin Genetic Programming
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langdon:2016:PPSNlandscape Fitness Landscape of the Triangle Program
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Langdon:2016:SSBSE API-Constrained Genetic Improvement
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Langdon:2016:GPEM Genetic Improvement of GPU Software
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langdon:2017:ieeeblog BarraCUDA in the Cloud
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langdon:2017:EuroGP Visualising the Search Landscape of the Triangle Program
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langdon:RN1705 Long-Term Evolution of Genetic Programming Populations
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Langdon:2017:GECCO Long-Term Evolution of Genetic Programming Populations
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langdon:2017:LHS Long-Term Stability of Genetic Programming Landscapes
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Langdon:2017:GI Improving SSE Parallel Code with Grow and Graft Genetic Programming
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langdon:2017:ECCSB Genetic Improvement of Computational Biology Software
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KarinaZile.html
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Langdon:2017:BDM Genetically Improved BarraCUDA
WilliamBLangdon.html
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http___dx.doi.org_10.1186_s13040-017-0149-1 http://dx.doi.org/10.1186/s13040-017-0149-1
langdon:RN1708 Evolving better RNAfold C source code
WilliamBLangdon.html
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langdon:2018:EuroGP Evolving better RNAfold structure prediction
WilliamBLangdon.html
JustynaPetke.html
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https___rdcu.be_c9hWJ https://rdcu.be/c9hWJ
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Langdon:2018:SSBSE Evolving Better Software Parameters
WilliamBLangdon.html
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langdon:RN1805 Evolving Square Root into Binary Logarithm
WilliamBLangdon.html
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langdon:2018:sigevolution Human-Competitive Awards 2018
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langdon:RN1806 Genetic Improvement GISMOE Blue Software Tool Demo
WilliamBLangdon.html
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langdon:RN1807 Human-Competitive Awards 2018
WilliamBLangdon.html
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langdon:2019:ACM Home Monitoring for Parkinson's Patients Already...
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langdon:2019:ieeeblog Software Improvement by Data Improvement
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langdon:2019:EuroGP Evolving AVX512 Parallel C Code using GP
WilliamBLangdon.html
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langdon:2019:log2 Genetic Improvement of Data gives Binary Logarithm from sqrt
WilliamBLangdon.html
JustynaPetke.html
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langdon:2019:GPEM Genetic Programming and Evolvable Machines at 20
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langdon:RN1901 Faster Genetic Programming GPquick via multicore and Advanced Vector Extensions
WilliamBLangdon.html
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langdon:2019:gpquick Parallel GPQUICK
WilliamBLangdon.html
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langdon:2019:GI7 Genetic Improvement of Data gives double precision invsqrt
WilliamBLangdon.html
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Langdon:2019:alife Continuous Long-Term Evolution of Genetic Programming
WilliamBLangdon.html
WolfgangBanzhaf.html
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gi2019_discussion The State and Future of Genetic Improvement
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YiweiLyu.html
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ShinHweiTan.html
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YuHuang.html
GabinAn.html
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Langdon:2019:SEN The State and Future of Genetic Improvement
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YiweiLyu.html
NicolasChausseau.html
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langdon:2019:sigevolution Mark Harman wins both IEEE and ACM Awards in 2019
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langdon:2019:bddGI4mlss Big Data Driven Genetic Improvement for Maintenance of Legacy Software Systems
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langdon:RN2001 Fast Generation of Big Random Binary Trees
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langdon:2020:GI9 Evolving sqrt into 1/x via Software Data Maintenance
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langdon:2020:cec Genetic Improvement of Genetic Programming
WilliamBLangdon.html
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langdon:2020:small_mem_ga Multi-threaded Memory Efficient Crossover in C++ for Generational Genetic Programming
WilliamBLangdon.html
http___arxiv.org_abs_2009.10460 http://arxiv.org/abs/2009.10460
langdon:2020:small_mem_ga_2pages Multi-threaded Memory Efficient Crossover in C++ for Generational Genetic Programming
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Langdon:2020:SEN Genetic Improvement @ ICSE 2020
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langdon:2021:EuroGP Incremental Evaluation in Genetic Programming
WilliamBLangdon.html
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Langdon:TELO Genetic Improvement of Data for Maths Functions
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Langdon:TELO:HOP Genetic Improvement of Data for Maths Functions*
WilliamBLangdon.html
OliverKrauss.html
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http___dx.doi.org___doi_10.5281_zenodo.3755346 http://dx.doi.org://doi:10.5281/zenodo.3755346
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Langdon:2021:GECCO Fitness First and Fatherless Crossover
WilliamBLangdon.html
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Langdon:2021:LAHS Dissipative Polynomials
WilliamBLangdon.html
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Langdon:2021:GPTP Fitness First
WilliamBLangdon.html
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Langdon:2022:EI Open to Evolve Embodied Intelligence
WilliamBLangdon.html
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langdon:GPEM:gpconv Genetic Programming Convergence
WilliamBLangdon.html
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langdon:2022:GECCOhop_gpem Genetic Programming Convergence [Hot of the Press]
WilliamBLangdon.html
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langdon:2021:sigevolution Evolving Open Complexity
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langdon:2022:trillion A Trillion Genetic Programming Instructions per Second
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Langdon:2022:ALJ Long-Term Evolution Experiment with Genetic Programming
WilliamBLangdon.html
WolfgangBanzhaf.html
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https___youtu.be_xfJtsWiM7Oo https://youtu.be/xfJtsWiM7Oo
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langdon:2022:GECCOhop_alj Long-Term Evolution Experiment with Genetic Programming [Hot of the Press]
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WolfgangBanzhaf.html
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langdon:2022:GECCOcomp Failed Disruption Propagation in Integer Genetic Programming
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langdon:2022:GECCO2 Measuring Failed Disruption Propagation in Genetic Programming
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langdon:2022:TELO Deep Genetic Programming Trees are Robust
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langdon:antifragile Dissipative Arithmetic
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langdon:2023:EuroGP Genetic Improvement of LLVM Intermediate Representation
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langdon:2023:GI Genetic Improvement of OLC and H3 with Magpie
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langdon:2023:GECCO Genetically Improved Software with fewer Data Caches Misses
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langdon:2023:cache GI Software with fewer Data Caches Misses
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DavidClark.html
https___arxiv.org_abs_2304.03235 https://arxiv.org/abs/2304.03235
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langdon:2023:SEN Genetic Improvement @ ICSE 2023
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https___rdcu.be_drY60 https://rdcu.be/drY60
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jaws30_reply Response to comments on ``Jaws 30''
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langdon:2024:EuroGP Genetic Improvement of Last Level Cache
WilliamBLangdon.html
DavidClark.html
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https___rdcu.be_dD81G https://rdcu.be/dD81G
http___dx.doi.org_10.1007_978-3-031-56957-9_13 http://dx.doi.org/10.1007/978-3-031-56957-9_13
https___github.com_wblangdon_vips https://github.com/wblangdon/vips
langdon:2024:GI Deep Mutations have Little Impact
WilliamBLangdon.html
DavidClark.html
http___gpbib.cs.ucl.ac.uk_gi2024_langdon_2024_GI.pdf http://gpbib.cs.ucl.ac.uk/gi2024/langdon_2024_GI.pdf
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http___dx.doi.org_10.1145_3643692.3648259 http://dx.doi.org/10.1145/3643692.3648259
langdon:2024:sigevolution Searching the Genetic Programming Bibliography
WilliamBLangdon.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_langdon_2024_sigevolution.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/langdon_2024_sigevolution.pdf
https___evolution.sigevo.org_issues_HTML_sigevolution-17-1_index.html https://evolution.sigevo.org/issues/HTML/sigevolution-17-1/index.html
langham:1999:AMPAFEMCAC A Multilevel k-way Partitioning Algorithm for Finite Element Meshes using Competing Ant Colonies
AELangham.html
PhilWGrant.html
http___gpbib.cs.ucl.ac.uk_gecco1999_RW-715.pdf http://gpbib.cs.ucl.ac.uk/gecco1999/RW-715.pdf
http___gpbib.cs.ucl.ac.uk_gecco1999_RW-715.ps http://gpbib.cs.ucl.ac.uk/gecco1999/RW-715.ps
Langosz:2014:GECCOcomp Introducing particle swarm optimization into a genetic algorithm to evolve robot controllers
MalteLangosz.html
KaiAlexandervonSzadkowski.html
FrankKirchner.html
http___doi.acm.org_10.1145_2598394.2598474 http://doi.acm.org/10.1145/2598394.2598474
http___dx.doi.org_10.1145_2598394.2598474 http://dx.doi.org/10.1145/2598394.2598474
Langton:2011:ISDA Knowledge-based estimation of stockout costs in logistic systems
SebastianLangton.html
MartinJGeiger.html
http___dx.doi.org_10.1109_ISDA.2011.6121750 http://dx.doi.org/10.1109/ISDA.2011.6121750
Langton:2012:HICSS On the Value of Information for Tactical Decision Support in Stockout Management
SebastianLangton.html
MartinJGeiger.html
http___dx.doi.org_10.1109_HICSS.2012.455 http://dx.doi.org/10.1109/HICSS.2012.455
lanotte:2022:Sustainability Soft Computing Approach for Predicting the Effects of Waste Rubber-Bitumen Interaction Phenomena on the Viscosity of Rubberized Bitumen
MicheleLanotte.html
https___www.mdpi.com_2071-1050_14_21_13798 https://www.mdpi.com/2071-1050/14/21/13798
http___dx.doi.org_10.3390_su142113798 http://dx.doi.org/10.3390/su142113798
lanza:2000:ICSB Automatic creation of a genetic network for the lac operon from observed data by means of genetic programming
GuidoLanza.html
WilliamJMydlowec.html
JohnKoza.html
http___www.genetic-programming.com_jkpdf_icsb2000geneticnetwork.pdf http://www.genetic-programming.com/jkpdf/icsb2000geneticnetwork.pdf
lanzi:1999:ERCCPIFMCS Extending the Representation of Classifier Conditions Part II: From Messy Coding to S-Expressions
PierLucaLanzi.html
AlessandroPerrucci.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_gecco1999_lanzi_1999_erccpifmcs.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/gecco1999/lanzi_1999_erccpifmcs.pdf
http___hdl.handle.net_11311_569571 http://hdl.handle.net/11311/569571
lanzi:2003:xwsgp XCS with stack-based genetic programming
PierLucaLanzi.html
http___webspace.elet.polimi.it_lanzi_papers__lanzi2003cecstack.pdf http://webspace.elet.polimi.it/lanzi/papers//lanzi2003cecstack.pdf
http___dx.doi.org_10.1109_CEC.2003.1299803 http://dx.doi.org/10.1109/CEC.2003.1299803
Lanzi:2007:cec An Analysis of Generalization in XCS with Symbolic Conditions
PierLucaLanzi.html
http___dx.doi.org_10.1109_CEC.2007.4424738 http://dx.doi.org/10.1109/CEC.2007.4424738
conf/icaisc/LapaCK16 New Method for Fuzzy Nonlinear Modelling Based on Genetic Programming
KrystianLapa.html
KrzysztofCpalka.html
PetiaDKoprinkova-Hristova.html
http___dx.doi.org_10.1007_978-3-319-39378-0 http://dx.doi.org/10.1007/978-3-319-39378-0
conf/isat/LapaC16 Weighted Fuzzy Genetic Programming Algorithm for Structure and Parameters Selection of Fuzzy Systems for Nonlinear Modelling
KrystianLapa.html
KrzysztofCpalka.html
http___dx.doi.org_10.1007_978-3-319-46583-8_13 http://dx.doi.org/10.1007/978-3-319-46583-8_13
Lapa:2018:itc Genetic Programming Algorithm for Designing of Control Systems
KrystianLapa.html
KrzysztofCpalka.html
AndrzejPrzybyl.html
http___itc.ktu.lt_index.php_ITC_article_view_20795_9705 http://itc.ktu.lt/index.php/ITC/article/view/20795/9705
http___itc.ktu.lt_index.php_ITC_article_view_20795 http://itc.ktu.lt/index.php/ITC/article/view/20795
http___dx.doi.org_10.5755_j01.itc.47.4.20795 http://dx.doi.org/10.5755/j01.itc.47.4.20795
Lapa:2019:GECCOcomp Enhancing classification performance of convolutional neural networks for prostate cancer detection on magnetic resonance images: a study with the semantic learning machine
PauloLapa.html
IvoGoncalves.html
LeonardoRundo.html
MauroCastelli.html
http___dx.doi.org_10.1145_3319619.3322035 http://dx.doi.org/10.1145/3319619.3322035
Lapa:2019:GECCOcompa Semantic learning machine improves the CNN-Based detection of prostate cancer in non-contrast-enhanced MRI
PauloLapa.html
IvoGoncalves.html
LeonardoRundo.html
MauroCastelli.html
http___dx.doi.org_10.1145_3319619.3326864 http://dx.doi.org/10.1145/3319619.3326864
lara-cabrera:2020:AS Evolving Matrix-Factorization-Based Collaborative Filtering Using Genetic Programming
RaulLara-Cabrera.html
AngelGonzalez-Prieto.html
FernandoOrtega.html
JesusBobadilla.html
https___www.mdpi.com_2076-3417_10_2_675 https://www.mdpi.com/2076-3417/10/2/675
http___dx.doi.org_10.3390_app10020675 http://dx.doi.org/10.3390/app10020675
DBLP:conf/micai/Lara-CardenasSA20 A Genetic Programming Framework for Heuristic Generation for the Job-Shop Scheduling Problem
ErickLara-Cardenas.html
XavierSanchez-Diaz.html
IvanAmaya.html
JorgeMCruz-Duarte.html
JoseCarlosOrtiz-Bayliss.html
https___doi.org_10.1007_978-3-030-60884-2_21 https://doi.org/10.1007/978-3-030-60884-2_21
http___dx.doi.org_10.1007_978-3-030-60884-2_21 http://dx.doi.org/10.1007/978-3-030-60884-2_21
https___dblp.org_rec_conf_micai_Lara-CardenasSA20.bib https://dblp.org/rec/conf/micai/Lara-CardenasSA20.bib
Larcher:2019:GECCO Auto-CVE: A coevolutionary approach to evolve ensembles in Automated Machine Learning
CelioHenriqueNogueiraLarcherJunior.html
HelioJCBarbosa.html
http___dx.doi.org_10.1145_3321707.3321844 http://dx.doi.org/10.1145/3321707.3321844
laredo:2011:EuroGP A Peer-to-Peer Approach to Genetic Programming
JuanLJLaredo.html
DanielLombranaGonzalezRodriguez.html
FranciscoFernandezdeVega.html
MaribelGarciaArenas.html
JuanJulianMerelo.html
http___dx.doi.org_10.1007_978-3-642-20407-4_10 http://dx.doi.org/10.1007/978-3-642-20407-4_10
Laredo:2014:GPEM Designing robust volunteer-based evolutionary algorithms
JuanLJLaredo.html
PascalBouvry.html
DanielLombranaGonzalezRodriguez.html
FranciscoFernandezdeVega.html
MaribelGarciaArenas.html
JuanJulianMerelo.html
CarlosMigueldaCostaFernandes.html
https___rdcu.be_cKMcx https://rdcu.be/cKMcx
http___dx.doi.org_10.1007_s10710-014-9213-5 http://dx.doi.org/10.1007/s10710-014-9213-5
conf/eurogp/LarkinR08 Good News: Using News Feeds with Genetic Programming to Predict Stock Prices
FiaccLarkin.html
ConorRyan.html
http___dx.doi.org_10.1007_978-3-540-78671-9_5 http://dx.doi.org/10.1007/978-3-540-78671-9_5
laroche:gecco05ws 802.11 Network Intrusion Detection using Genetic Programming
PatrickLaRoche.html
NurZincir-Heywood.html
http___gpbib.cs.ucl.ac.uk_gecco2005wks_papers_0170.pdf http://gpbib.cs.ucl.ac.uk/gecco2005wks/papers/0170.pdf
eurogp06:LaRocheZincir-Heywood 802.11 De-authentication Attack Detection using Genetic Programming
PatrickLaRoche.html
NurZincir-Heywood.html
http___dx.doi.org_10.1007_11729976_1 http://dx.doi.org/10.1007/11729976_1
10.1109/CNSR.2006.30 Genetic Programming Based WiFi Data Link Layer Attack Detection
PatrickLaRoche.html
NurZincir-Heywood.html
http___dx.doi.org_10.1109_CNSR.2006.30 http://dx.doi.org/10.1109/CNSR.2006.30
LaRoche:2009:CISDA Evolving TCP/IP packets: A case study of port scans
PatrickLaRoche.html
NurZincir-Heywood.html
MalcolmHeywood.html
http___dx.doi.org_10.1109_CISDA.2009.5356541 http://dx.doi.org/10.1109/CISDA.2009.5356541
LaRoche:2010:EvoCOMNET Using Code Bloat to Obfuscate Evolved Network Traffic
PatrickLaRoche.html
NurZincir-Heywood.html
MalcolmHeywood.html
http___dx.doi.org_10.1007_978-3-642-12242-2_11 http://dx.doi.org/10.1007/978-3-642-12242-2_11
LaRoche:2011:CICS Exploring the state space of an application protocol: A case study of SMTP
PatrickLaRoche.html
NurZincir-Heywood.html
MalcolmHeywood.html
http___dx.doi.org_10.1109_CICYBS.2011.5949387 http://dx.doi.org/10.1109/CICYBS.2011.5949387
laroche:evoapps12 Protocol Discovery and Analysis via Live Interaction
PatrickLaRoche.html
NurZincir-Heywood.html
MalcolmHeywood.html
http___dx.doi.org_10.1007_978-3-642-29178-4_2 http://dx.doi.org/10.1007/978-3-642-29178-4_2
LaRoche:2013:CEC How far an Evolutionary Approach can go for Protocol State Analysis and Discovery
PatrickLaRoche.html
AimeeBurrows.html
NurZincir-Heywood.html
http___dx.doi.org_10.1109_CEC.2013.6557965 http://dx.doi.org/10.1109/CEC.2013.6557965
Larranaga:2012:JH A review on probabilistic graphical models in evolutionary computation
PedroLarranaga.html
HosseinKarshenas.html
ConchaBielza.html
RobertoSantana.html
http___dx.doi.org_10.1007_s10732-012-9208-4 http://dx.doi.org/10.1007/s10732-012-9208-4
http___dx.doi.org_10.1007_s10732-012-9208-4 http://dx.doi.org/10.1007/s10732-012-9208-4
Larres:2010:cec Using unrestricted loops in genetic programming for image classification
JanLarres.html
MengjieZhang.html
WillNBrowne.html
http___dx.doi.org_10.1109_CEC.2010.5586305 http://dx.doi.org/10.1109/CEC.2010.5586305
Lary:2016:GSF Machine learning in geosciences and remote sensing
DavidJohnLary.html
AHAlavi.html
AHGandomi.html
AnnetteLWalker.html
http___www.sciencedirect.com_science_article_pii_S1674987115000821 http://www.sciencedirect.com/science/article/pii/S1674987115000821
http___dx.doi.org_10.1016_j.gsf.2015.07.003 http://dx.doi.org/10.1016/j.gsf.2015.07.003
lasarczyk:2004:EC Dynamic Subset Selection Based on a Fitness Case Topology
ChristianWGLasarczyk.html
PeterDittrich.html
WolfgangBanzhaf.html
http___ls11-www.cs.uni-dortmund.de_people_lasar_publication_LasarDittBanz_TBS_2004_LasarDittBanz_TBS_2004.pdf http://ls11-www.cs.uni-dortmund.de/people/lasar/publication/LasarDittBanz_TBS_2004/LasarDittBanz_TBS_2004.pdf
http___dx.doi.org_10.1162_106365604773955157 http://dx.doi.org/10.1162/106365604773955157
eurogp:LasarczykB05 An Algorithmic Chemistry for Genetic Programming
ChristianWGLasarczyk.html
WolfgangBanzhaf.html
http___ls11-www.cs.uni-dortmund.de_downloads_papers_LaBa05.pdf http://ls11-www.cs.uni-dortmund.de/downloads/papers/LaBa05.pdf
http___dx.doi.org_10.1007_978-3-540-31989-4_1 http://dx.doi.org/10.1007/978-3-540-31989-4_1
http___dx.doi.org_10.1007_b107383 http://dx.doi.org/10.1007/b107383
1068285 Total synthesis of algorithmic chemistries
ChristianWGLasarczyk.html
WolfgangBanzhaf.html
http___gpbib.cs.ucl.ac.uk_gecco2005_docs_p1635.pdf http://gpbib.cs.ucl.ac.uk/gecco2005/docs/p1635.pdf
http___dx.doi.org_10.1145_1068009.1068285 http://dx.doi.org/10.1145/1068009.1068285
Lasarczyk:thesis Genetische Programmierung einer algorithmischen Chemie
ChristianWGLasarczyk.html
https___eldorado.tu-dortmund.de_bitstream_2003_25029_1_diss_lasarczyk_gpac.pdf https://eldorado.tu-dortmund.de/bitstream/2003/25029/1/diss_lasarczyk_gpac.pdf
http___hdl.handle.net_2003_25029 http://hdl.handle.net/2003/25029
https___eldorado.tu-dortmund.de_handle_2003_25029 https://eldorado.tu-dortmund.de/handle/2003/25029
http___dx.doi.org_10.17877_DE290R-8302 http://dx.doi.org/10.17877/DE290R-8302
lashkar-ara:2021:Mathematics Assessing Machine Learning versus a Mathematical Model to Estimate the Transverse Shear Stress Distribution in a Rectangular Channel
BabakLashkar-Ara.html
NiloofarKalantari.html
ZohrehSheikhKhozani.html
AmirMosavi.html
https___www.mdpi.com_2227-7390_9_6_596 https://www.mdpi.com/2227-7390/9/6/596
http___dx.doi.org_10.3390_math9060596 http://dx.doi.org/10.3390/math9060596
Laskar:2020:IRMA Gene Expression Programming
BaddrudZamanLaskar.html
SwanirbharMajumder.html
http___dx.doi.org_10.4018_978-1-7998-8048-6 http://dx.doi.org/10.4018/978-1-7998-8048-6
http___dx.doi.org_10.4018_978-1-7998-8048-6.ch022 http://dx.doi.org/10.4018/978-1-7998-8048-6.ch022
Laskowski:thesis An Agent Based Decision Support Framework for Healthcare Policy, Augmented with Stateful Genetic Programming
MarekLaskowski.html
http___hdl.handle.net_1993_4400 http://hdl.handle.net/1993/4400
http___mspace.lib.umanitoba.ca_bitstream_handle_1993_4400_whole.pdf http://mspace.lib.umanitoba.ca/bitstream/handle/1993/4400/whole.pdf
Lassabe-chessend_game_eurogp_2006 Chess Endgame Algorithm Generated by Genetic Programming
NicolasLassabe.html
StephaneSanchez.html
HerveLuga.html
YvesDuthen.html
1144144 Genetically programmed strategies for chess endgame
NicolasLassabe.html
StephaneSanchez.html
HerveLuga.html
YvesDuthen.html
http___gpbib.cs.ucl.ac.uk_gecco2006_docs_p831.pdf http://gpbib.cs.ucl.ac.uk/gecco2006/docs/p831.pdf
http___dx.doi.org_10.1145_1143997.1144144 http://dx.doi.org/10.1145/1143997.1144144
Lassez:2008:ijcnn Signature Based Intrusion Detection Using Latent Semantic Analysis
Jean-LouisLassez.html
RyanRossi.html
StephenSheel.html
SrinivasMukkamala.html
http___dx.doi.org_10.1109_IJCNN.2008.4633931 http://dx.doi.org/10.1109/IJCNN.2008.4633931
Latek:2008:BMCsb Contact prediction in protein modeling: Scoring, folding and refinement of coarse-grained models
DorotaLatek.html
AndrzejKolinski.html
http___dx.doi.org_10.1186_1472-6807-8-36 http://dx.doi.org/10.1186/1472-6807-8-36
conf/evoW/LathamSTLJK08 Using DNA to Generate 3D Organic Art Forms
WilliamLatham.html
MikiShaw.html
StephenTodd.html
FredericFLeymarie.html
BenjaminRJefferys.html
LawrenceAKelley.html
http___dx.doi.org_10.1007_978-3-540-78761-7_46 http://dx.doi.org/10.1007/978-3-540-78761-7_46
eurogp:LauLLLC05 Multi-logic-Unit Processor: A Combinational Logic Circuit Evaluation Engine for Genetic Parallel Programming
WaiShingLau.html
GangLi.html
Kin-HongLee.html
Kwong-SakLeung.html
IvanSinManCheang.html
http___dx.doi.org_10.1007_978-3-540-31989-4_15 http://dx.doi.org/10.1007/978-3-540-31989-4_15
http___dx.doi.org_10.1007_b107383 http://dx.doi.org/10.1007/b107383
1144145 A hybridized genetic parallel programming based logic circuit synthesizer
WaiShingLau.html
Kin-HongLee.html
Kwong-SakLeung.html
http___gpbib.cs.ucl.ac.uk_gecco2006_docs_p839.pdf http://gpbib.cs.ucl.ac.uk/gecco2006/docs/p839.pdf
http___dx.doi.org_10.1145_1143997.1144145 http://dx.doi.org/10.1145/1143997.1144145
Laucelli:2007:JH Ensemble modeling approach for rainfall/groundwater balancing
DanieleBLaucelli.html
OrazioGiustolisi.html
VladanBabovic.html
MaartenKeijzer.html
http___www.iwaponline.com_jh_009_0095_0090095.pdf http://www.iwaponline.com/jh/009/0095/0090095.pdf
http___dx.doi.org_10.2166_hydro.2007.102 http://dx.doi.org/10.2166/hydro.2007.102
Laucelli:2011:EMS Scour depth modelling by a multi-objective evolutionary paradigm
DanieleBLaucelli.html
OrazioGiustolisi.html
http___www.sciencedirect.com_science_article_pii_S1364815210002859 http://www.sciencedirect.com/science/article/pii/S1364815210002859
http___dx.doi.org_10.1016_j.envsoft.2010.10.013 http://dx.doi.org/10.1016/j.envsoft.2010.10.013
Laucelli:2014:JoH Study on relationships between climate-related covariates and pipe bursts using evolutionary-based modelling
DanieleBLaucelli.html
BalvantRajani.html
YehudaKleiner.html
OrazioGiustolisi.html
https___iwaponline.com_jh_article-pdf_16_4_743_387365_743.pdf https://iwaponline.com/jh/article-pdf/16/4/743/387365/743.pdf
http___dx.doi.org_10.2166_hydro.2013.082 http://dx.doi.org/10.2166/hydro.2013.082
Laucelli:2016:JoH Detecting anomalies in water distribution networks using EPR modelling paradigm
DanieleBLaucelli.html
MicheleRomano.html
DraganSavic.html
OrazioGiustolisi.html
http___dx.doi.org_10.2166_hydro.2015.113 http://dx.doi.org/10.2166/hydro.2015.113
Lauckner:2009:CC The Computer Continuum
KurtFLauckner.html
ZeniaCBahorski.html
http___www.mypearsonstore.com_bookstore_product.asp_isbn_0558345166 http://www.mypearsonstore.com/bookstore/product.asp?isbn=0558345166
Lavangnananda_2004_CIMCA A Genetic Programming Approach to Inductive Learning
KittichaiLavangnananda.html
http___dummy_Lavangnananda_2004_CIMCA.pdf http://dummy/Lavangnananda_2004_CIMCA.pdf
Lavangnananda:2006:ieeeMWALS Self-adjusting Associative Rules Generator for Classification : An Evolutionary Computation Approach
KittichaiLavangnananda.html
http___dummy_Lavangnananda_2006_ieeeMWALS.pdf http://dummy/Lavangnananda_2006_ieeeMWALS.pdf
http___dx.doi.org_10.1109_SMCALS.2006.250722 http://dx.doi.org/10.1109/SMCALS.2006.250722
DBLP:journals/corr/abs-2112-03235 Simulation Intelligence: Towards a New Generation of Scientific Methods
AlexanderLavin.html
HectorZenil.html
BrooksPaige.html
DavidKrakauer.html
JustinGottschlich.html
TimMattson.html
AnimaAnandkumar.html
SanjayChoudry.html
KamilRocki.html
AtilimGunesBaydin.html
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OlexandrIsayev.html
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AviPfeffer.html
https___arxiv.org_abs_2112.03235 https://arxiv.org/abs/2112.03235
https___dblp.org_rec_journals_corr_abs-2112-03235.bib https://dblp.org/rec/journals/corr/abs-2112-03235.bib
Lavinas:2018:ieeeSMC Experimental Analysis of the Tournament Size on Genetic Algorithms
YuriLavinas.html
ClausdeCastroAranha.html
TetsuyaSakurai.html
MarceloLadeira.html
http___dx.doi.org_10.1109_SMC.2018.00617 http://dx.doi.org/10.1109/SMC.2018.00617
lavinas:2023:GGP Evolving Graphs with Cartesian Genetic Programming with Lexicase Selection
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KevinCortacero.html
SylvainCussat-Blanc.html
http___dx.doi.org_10.1145_3583133.3596402 http://dx.doi.org/10.1145/3583133.3596402
Lavington:1999:IST Interfacing knowledge discovery algorithms to large database management systems
SLavington.html
NDewhurst.html
EWilkins.html
AlexAlvesFreitas.html
http___www.sciencedirect.com_science_article_B6V0B-3WN7DYN-8_1_cdabdda09c085c6a4536aa5e116366ee http://www.sciencedirect.com/science/article/B6V0B-3WN7DYN-8/1/cdabdda09c085c6a4536aa5e116366ee
http___dx.doi.org_10.1016_S0950-5849_99_00024-5 http://dx.doi.org/10.1016/S0950-5849(99)00024-5
law:1999:G Generating hard satisfiability problems using genetic programming
KinLunLaw.html
law:1999:TRDGP Traffic Rules Discovery using Genetic Programming
KenLaw.html
Lay:1994:GPssdy Application of genetic programming in analyzing multiple steady states of dynamical systems
Ming-YiLay.html
http___dx.doi.org_10.1109_ICEC.1994.349930 http://dx.doi.org/10.1109/ICEC.1994.349930
Lazarus:2001:timr Using Genetic Programming to Evolve Behaviours
ChristopherLazarus.html
HuoshengHu.html
http___apt.cs.manchester.ac.uk_ftp_pub_TR_UMCS-01-4-1.html http://apt.cs.manchester.ac.uk/ftp/pub/TR/UMCS-01-4-1.html
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http___cswww.essex.ac.uk_staff_hhu_Papers_TIMR2001_Chris.pdf http://cswww.essex.ac.uk/staff/hhu/Papers/TIMR2001_Chris.pdf
Lazarus:thesis Genetic Programming Based Evolution of Multi-Agent Behaviours
ChristopherLazarus.html
http___ethos.bl.uk_OrderDetails.do_uin_uk.bl.ethos.549295 http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.549295
Lazarus:2015:ieeeSSCI Pareto-Dominance Based MOGP for Evolving Soccer Agents
ChristopherLazarus.html
http___dx.doi.org_10.1109_SSCI.2015.49 http://dx.doi.org/10.1109/SSCI.2015.49
Le_Xuan-Bach:thesis Overfitting in Automated Program Repair: Challenges and Solutions
Xuan-BachDinhLe.html
https___ink.library.smu.edu.sg_etd_coll_177_ https://ink.library.smu.edu.sg/etd_coll/177/
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Le:2019:GECCOcomp Benchmarking genetic programming in dynamic insider threat detection
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MalcolmHeywood.html
NurZincir-Heywood.html
http___dx.doi.org_10.1145_3319619.3322029 http://dx.doi.org/10.1145/3319619.3322029
Le:2019:CNSM Learning From Evolving Network Data for Dependable Botnet Detection
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Le:2019:SSCI Dynamic Insider Threat Detection Based on Adaptable Genetic Programming
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http___dx.doi.org_10.1109_SSCI44817.2019.9003134 http://dx.doi.org/10.1109/SSCI44817.2019.9003134
Le:2016:CEC Complexity measures in Genetic Programming Learning: A Brief Review
NamLe.html
NguyenXuanHoai.html
AnthonyBrabazon.html
ThuongPhamThi.html
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http___dx.doi.org_10.1109_CEC.2016.7744087 http://dx.doi.org/10.1109/CEC.2016.7744087
le:2017:CEC Social Grammatical Evolution with imitation learning for real-valued function estimation
NamLe.html
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DavidFagan.html
AnthonyBrabazon.html
http___dx.doi.org_10.1109_CEC.2017.7969490 http://dx.doi.org/10.1109/CEC.2017.7969490
Le:2014:CISDA Malware detection using genetic programming
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QuangUyNguyen.html
NguyenXuanHoai.html
http___dx.doi.org_10.1109_CISDA.2014.7035623 http://dx.doi.org/10.1109/CISDA.2014.7035623
Le:2019:TPOT TPOT: Where do I start?
TrangTLe.html
https___trang.page_2019_11_05_tpot-where-do-i-start_ https://trang.page/2019/11/05/tpot-where-do-i-start/
Le:2020:Bioinformatics Scaling tree-based automated machine learning to biomedical big data with a feature set selector
TrangTLe.html
WeixuanFu.html
JasonHMoore.html
https___academic.oup.com_bioinformatics_article-pdf_36_1_250_31813758_btz470.pdf https://academic.oup.com/bioinformatics/article-pdf/36/1/250/31813758/btz470.pdf
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http___dx.doi.org_10.1093_bioinformatics_btz470 http://dx.doi.org/10.1093/bioinformatics/btz470
Le:2020:GECCOcomp Large Scale Biomedical Data Analysis with Tree-Based Automated Machine Learning
TrangTLe.html
WeixuanFu.html
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https___doi.org_10.1145_3377929.3397770 https://doi.org/10.1145/3377929.3397770
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Le:2015:ieeeISSRE Should fixing these failures be delegated to automated program repair?
Xuan-BachDinhLe.html
Tien-DuyBuiLe.html
DavidLo.html
http___dx.doi.org_10.1109_ISSRE.2015.7381836 http://dx.doi.org/10.1109/ISSRE.2015.7381836
Le:2016:ICSME Enhancing Automated Program Repair with Deductive Verification
Xuan-BachDinhLe.html
QuangLocLe.html
DavidLo.html
ClaireLeGoues.html
https___goo.gl_9TS9wo https://goo.gl/9TS9wo
http___dx.doi.org_10.1109_ICSME.2016.66 http://dx.doi.org/10.1109/ICSME.2016.66
Le:2017:SSS S3: Syntax- and Semantic-guided Repair Synthesis via Programming by Examples
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Duc-HiepChu.html
DavidLo.html
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WillemVisser.html
https___www.cs.cmu.edu__clegoues_docs_legoues-esecfse17.pdf https://www.cs.cmu.edu/~clegoues/docs/legoues-esecfse17.pdf
http___doi.acm.org_10.1145_3106237.3106309 http://doi.acm.org/10.1145/3106237.3106309
http___dx.doi.org_10.1145_3106237.3106309 http://dx.doi.org/10.1145/3106237.3106309
Leach:2019:GI Evolutionary Computation for Improving Malware Analysis
KevinLeach.html
RyanDougherty.html
ChadSpensky.html
StephanieForrest.html
WestleyWeimer.html
http___dijkstra.eecs.umich.edu_kleach_malware-gi-19.pdf http://dijkstra.eecs.umich.edu/kleach/malware-gi-19.pdf
http___geneticimprovementofsoftware.com_paper_pdfs_leach2019evolutionary.pdf http://geneticimprovementofsoftware.com/paper_pdfs/leach2019evolutionary.pdf
http___dx.doi.org_10.1109_GI.2019.00013 http://dx.doi.org/10.1109/GI.2019.00013
leahy:2005:SPIGS Social Programming: Investigations in Grammatical Swarm
FinbarLeahy.html
https___finbarleahy.files.wordpress.com_2010_07_mastersdissertation.pdf https://finbarleahy.files.wordpress.com/2010/07/mastersdissertation.pdf
Leather:2009:CGO Automatic Feature Generation for Machine Learning Based Optimizing Compilation
HughLeather.html
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http___dx.doi.org_10.1109_CGO.2009.21 http://dx.doi.org/10.1109/CGO.2009.21
Leather:2014:AFG Automatic feature generation for machine learning--based optimising compilation
HughLeather.html
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http___dx.doi.org_10.1145_2536688 http://dx.doi.org/10.1145/2536688
http___portal.acm.org_browse_dl.cfm_idx_J924 http://portal.acm.org/browse_dl.cfm?idx=J924
http___dx.doi.org_10.1145_2536688 http://dx.doi.org/10.1145/2536688
LeBaron:2012:GPEM Alma Lilia Garcia Almanza, and Edward Tsang: Evolutionary applications for financial prediction: classification methods to gather patterns using genetic programming
BlakeLeBaron.html
http___dx.doi.org_10.1007_s10710-012-9168-3 http://dx.doi.org/10.1007/s10710-012-9168-3
Ledwith:2010:ICES Introducing Flexibility in Digital Circuit Evolution: Exploiting Undefined Values in Binary Truth Tables
RickyDLedwith.html
JulianFMiller.html
http___dx.doi.org_10.1007_978-3-642-15323-5_3 http://dx.doi.org/10.1007/978-3-642-15323-5_3
conf/kes/LeeYC14 Taiwan Stock Investment with Gene Expression Programming
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Hung-HsinChen.html
http___www.sciencedirect.com_science_journal_18770509_35 http://www.sciencedirect.com/science/journal/18770509/35
http___dx.doi.org_10.1016_j.procs.2014.08.093 http://dx.doi.org/10.1016/j.procs.2014.08.093
conf/icpr/LeeS16 Learning-based single image dehazing via genetic programming
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LingShao.html
http___ieeexplore.ieee.org_document_7899724_ http://ieeexplore.ieee.org/document/7899724/
http___dx.doi.org_10.1109_ICPR.2016.7899724 http://dx.doi.org/10.1109/ICPR.2016.7899724
Lee:1997:ICHMT Critical heat flux prediction using genetic programming for water flow in vertical round tubes
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Won-PilBaek.html
SoonHeungChang.html
http___www.sciencedirect.com_science_article_B6V3J-3SN6JCK-3_2_6b7c99878889f319da36b00d1c087dfd http://www.sciencedirect.com/science/article/B6V3J-3SN6JCK-3/2/6b7c99878889f319da36b00d1c087dfd
http___dx.doi.org_10.1016_S0735-1933_97_00078-X http://dx.doi.org/10.1016/S0735-1933(97)00078-X
Dong-WookLee:2000:SMC Behavior evolution of autonomous mobile robot using genetic programming based on evolvable hardware
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Kwee-BoSim.html
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GeumYongLee:1999:aigp3 Genetic Recursive Regression for Modeling and Forecasting Real-World Chaotic Time Series
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http___dx.doi.org_10.7551_mitpress_1110.003.0022 http://dx.doi.org/10.7551/mitpress/1110.003.0022
lee:2006:CAIDCD Generating stylistically consistent product form designs using interactive evolutionary parametric shape grammars
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MingXiTang.html
http___dx.doi.org_10.1109_CAIDCD.2006.329391 http://dx.doi.org/10.1109/CAIDCD.2006.329391
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MingXiTang.html
http___dx.doi.org_10.1017_S0890060409000031 http://dx.doi.org/10.1017/S0890060409000031
KHLee:2002:FEA Polynomial Genetic Programming for Response Surface Modeling
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conf/iccsa/LeeYYLO06 Data Analysis and Utilization Method Based on Genetic Programming in Ship Design
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DBLP:conf/ausai/LeeOP06 Development of Data Miner for the Ship Design Based on Polynomial Genetic Programming
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oai:CiteSeerPSU:454905 Learning robot behaviors by evolving genetic programs
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lee:1995:efnGPe The effect of function noise on GP efficiency
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http___dx.doi.org_10.1007_3-540-60154-6_43 http://dx.doi.org/10.1007/3-540-60154-6_43
lee:1996:aigp2 Explicit Models for Chaotic and Noisy Time Series Through the Genetic Recursive Regression
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Lee:2004:Omega Job scheduling with dual criteria and sequence-dependent setups: mathematical versus genetic programming
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http___www.sciencedirect.com_science_article_B6VC4-4B42761-1_2_94e937150cd10b51245fedaa40f1d3cc http://www.sciencedirect.com/science/article/B6VC4-4B42761-1/2/94e937150cd10b51245fedaa40f1d3cc
http___dx.doi.org_10.1016_j.omega.2003.10.001 http://dx.doi.org/10.1016/j.omega.2003.10.001
lee:1996:hGPGAccrb A Hybrid GP/GA Approach for Co-evolving Controllers and Robot Bodies to Achieve Fitness-Specified Tasks
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lee:1997:aGPebpamr Applying Genetic Programming to Evolve Behavior Primitives and Arbitrators for Mobile Robots
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lee:1997:lcrbea Learning Complex Robot Behaviours by Evolutionary Approaches
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lee:1997:lcrbeaLNAI Learning Complex Robot Behaviours by Evolutionary Computing with Task Decomposition
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http___dx.doi.org_10.1007_3-540-49240-2_11 http://dx.doi.org/10.1007/3-540-49240-2_11
Wei-PoLee:thesis Evolving Robots: from Simple Behaviours to Complete Systems
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http___books.google.co.uk_books_about_Evolving_robots.html_id_uIkKcgAACAAJ_redir_esc_y http://books.google.co.uk/books/about/Evolving_robots.html?id=uIkKcgAACAAJ&redir_esc=y
http___ethos.bl.uk_OrderDetails.do_uin_uk.bl.ethos.653764 http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.653764
Wei-PoLee:1999:ISJ Evolving complex robot behaviors
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http___dx.doi.org_10.1016_S0020-0255_99_00078-X http://dx.doi.org/10.1016/S0020-0255(99)00078-X
http___www.sciencedirect.com_science_article_B6V0C-3Y3XPFF-1_2_ddd56f7f1c35319bee24c38eb8db5652 http://www.sciencedirect.com/science/article/B6V0C-3Y3XPFF-1/2/ddd56f7f1c35319bee24c38eb8db5652
lee:1999:SC Evolving reliable and robust controllers for real robots by genetic programming
Wei-PoLee.html
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http___dx.doi.org_10.1007_s005000050054 http://dx.doi.org/10.1007/s005000050054
Lee2008111 Applying Intelligent Computing Techniques to Modeling Biological Networks from Expression Data
Wei-PoLee.html
Kung-ChengYang.html
http___dx.doi.org_10.1016_S1672-0229_08_60026-1 http://dx.doi.org/10.1016/S1672-0229(08)60026-1
http___www.sciencedirect.com_science_article_B82XM-4TSTVT9-6_2_3622f6428cf373014593567706357973 http://www.sciencedirect.com/science/article/B82XM-4TSTVT9-6/2/3622f6428cf373014593567706357973
DBLP:conf/jcis/Lee06a Genetic Programming Decision Tree for Bankruptcy Prediction
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lee:2001:tspgp Time Series Perturbation by Genetic Programming
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http___dx.doi.org_10.1109_CEC.2001.934419 http://dx.doi.org/10.1109/CEC.2001.934419
journals/isci/LeeM17 Adaptive outlier elimination in image registration using genetic programming
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MuhammadTariqMahmood.html
http___dx.doi.org_10.1016_j.ins.2017.08.098 http://dx.doi.org/10.1016/j.ins.2017.08.098
Lee:2012:SICE Evolutionary self-assembling swarm robots using genetic programming
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ChangWookAhn.html
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Lee:2013:tswj An Approach to Self-Assembling Swarm Robots Using Multitree Genetic Programming
Jong-HyunLee.html
ChangWookAhn.html
JinungAn.html
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http___dx.doi.org_10.1155_2013_593848 http://dx.doi.org/10.1155/2013/593848
conf/bic-ta/LeeAA14 An Ensemble Pattern Classification System Based on Multitree Genetic Programming for Improving Intension Pattern Recognition Using Brain Computer Interaction
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JinungAn.html
ChangWookAhn.html
http___dx.doi.org_10.1007_978-3-662-45049-9 http://dx.doi.org/10.1007/978-3-662-45049-9
Lee:2015:ESA Efficient classification system based on Fuzzy-Rough Feature Selection and Multitree Genetic Programming for intension pattern recognition using brain signal
Jong-HyunLee.html
JavadRahimipourAnaraki.html
ChangWookAhn.html
JinungAn.html
http___dx.doi.org_10.1016_j.eswa.2014.09.048 http://dx.doi.org/10.1016/j.eswa.2014.09.048
http___www.sciencedirect.com_science_article_pii_S0957417414006095 http://www.sciencedirect.com/science/article/pii/S0957417414006095
LEE:2018:OE Prediction of added resistance using genetic programming
JonghyunLee.html
Sung-sooKim.html
Soon-supLee.html
DonghoonKang.html
Jae-chulLee.html
http___www.sciencedirect.com_science_article_pii_S0029801818300970 http://www.sciencedirect.com/science/article/pii/S0029801818300970
http___dx.doi.org_10.1016_j.oceaneng.2018.01.089 http://dx.doi.org/10.1016/j.oceaneng.2018.01.089
lee:2019:Metabolites Computational Methods for the Discovery of Metabolic Markers of Complex Traits
MichaelYLee.html
TingHu.html
https___www.mdpi.com_2218-1989_9_4_66 https://www.mdpi.com/2218-1989/9/4/66
http___dx.doi.org_10.3390_metabo9040066 http://dx.doi.org/10.3390/metabo9040066
DBLP:conf/gecco/LeeM09a Finding attractive rules in stock markets using a modular genetic programming
Seung-KyuLee.html
Byung-RoMoon.html
http___dx.doi.org_10.1145_1569901.1570244 http://dx.doi.org/10.1145/1569901.1570244
Lee:2010:gecco A new modular genetic programming for finding attractive technical patterns in stock markets
Seung-KyuLee.html
Byung-RoMoon.html
http___dx.doi.org_10.1145_1830483.1830704 http://dx.doi.org/10.1145/1830483.1830704
Lee2009285 Prediction of membrane fouling in the pilot-scale microfiltration system using genetic programming
Tae-MunLee.html
HyunjeOh.html
Youn-KyooChoung.html
SanghounOh.html
MoonguJeon.html
JoonHaKim.html
SookHyunNam.html
SanghoLee.html
http___dx.doi.org_10.1016_j.desal.2008.12.031 http://dx.doi.org/10.1016/j.desal.2008.12.031
http___www.sciencedirect.com_science_article_B6TFX-4X502WT-11_2_27587f58d0280f3d90f2898992cdab65 http://www.sciencedirect.com/science/article/B6TFX-4X502WT-11/2/27587f58d0280f3d90f2898992cdab65
DBLP:conf/pldi/LeeHAN18 Accelerating search-based program synthesis using learned probabilistic models
WoosukLee.html
KihongHeo.html
RajeevAlur.html
MayurNaik.html
https___dblp.org_rec_conf_pldi_LeeHAN18.bib https://dblp.org/rec/conf/pldi/LeeHAN18.bib
http___psl.hanyang.ac.kr_assets_pdf_pldi18.pdf http://psl.hanyang.ac.kr/assets/pdf/pldi18.pdf
https___doi.org_10.1145_3192366.3192410 https://doi.org/10.1145/3192366.3192410
http___dx.doi.org_10.1145_3192366.3192410 http://dx.doi.org/10.1145/3192366.3192410
https___github.com_wslee_euphony https://github.com/wslee/euphony
Lee2011147 Forecasting energy consumption using a grey model improved by incorporating genetic programming
Yi-ShianLee.html
Lee-IngTong.html
http___dx.doi.org_10.1016_j.enconman.2010.06.053 http://dx.doi.org/10.1016/j.enconman.2010.06.053
http___www.sciencedirect.com_science_article_B6V2P-50JPRY8-1_2_2a8da744ea8e078b297748c80fb2890c http://www.sciencedirect.com/science/article/B6V2P-50JPRY8-1/2/2a8da744ea8e078b297748c80fb2890c
Lee201166 Forecasting time series using a methodology based on autoregressive integrated moving average and genetic programming
Yi-ShianLee.html
Lee-IngTong.html
http___dx.doi.org_10.1016_j.knosys.2010.07.006 http://dx.doi.org/10.1016/j.knosys.2010.07.006
Lee:2012:ICALT Constructing a Novel Chinese Readability Classification Model Using Principal Component Analysis and Genetic Programming
Yi-ShianLee.html
Hou-ChiangTseng.html
Ju-LingChen.html
Chun-YiPeng.html
Tao-HsingChang.html
Yao-TingSung.html
http___dx.doi.org_10.1109_ICALT.2012.134 http://dx.doi.org/10.1109/ICALT.2012.134
Lee:2012:Energies Predicting High or Low Transfer Efficiency of Photovoltaic Systems Using a Novel Hybrid Methodology Combining Rough Set Theory, Data Envelopment Analysis and Genetic Programming
Yi-ShianLee.html
Lee-IngTong.html
http___www.mdpi.com_1996-1073_5_3_545_pdf http://www.mdpi.com/1996-1073/5/3/545/pdf
http___www.mdpi.com_1996-1073_5_3_545_ http://www.mdpi.com/1996-1073/5/3/545/
http___dx.doi.org_10.3390_en5030545 http://dx.doi.org/10.3390/en5030545
Lee2012251 Forecasting nonlinear time series of energy consumption using a hybrid dynamic model
Yi-ShianLee.html
Lee-IngTong.html
http___dx.doi.org_10.1016_j.apenergy.2012.01.063 http://dx.doi.org/10.1016/j.apenergy.2012.01.063
http___www.sciencedirect.com_science_article_pii_S0306261912000694 http://www.sciencedirect.com/science/article/pii/S0306261912000694
Lee:2014:CEA Forecasting value of agricultural imports using a novel two-stage hybrid model
Yi-ShianLee.html
Wan-YuLiu.html
http___dx.doi.org_10.1016_j.compag.2014.03.011 http://dx.doi.org/10.1016/j.compag.2014.03.011
http___www.sciencedirect.com_science_article_pii_S0168169914000817 http://www.sciencedirect.com/science/article/pii/S0168169914000817
Leehter:GPB:cec2006 Genetic Programming Based Multichannel Identification of Nonlinear Systems by Volterra Filters
YaoLeehter.html
Chin-chinLin.html
http___ieeexplore.ieee.org_servlet_opac_punumber_11108 http://ieeexplore.ieee.org/servlet/opac?punumber=11108
http___dx.doi.org_10.1109_CEC.2006.1688669 http://dx.doi.org/10.1109/CEC.2006.1688669
Leeke:2021:DASC Reducing Model Complexity and Cost in the Generation of Efficient Error Detection Mechanisms
MatthewLeeke.html
http___dx.doi.org_10.1109_DASC-PICom-CBDCom-CyberSciTech52372.2021.00020 http://dx.doi.org/10.1109/DASC-PICom-CBDCom-CyberSciTech52372.2021.00020
lefley:2003:gecco Using Genetic Programming to Improve Software Effort Estimation Based on General Data Sets
MartinLefley.html
MartinJShepperd.html
http___dx.doi.org_10.1007_3-540-45110-2_151 http://dx.doi.org/10.1007/3-540-45110-2_151
leger:1999:thesis Automated Synthesis and Optimisation of Robot Configurations: An Evolutionary Approach
ChrisLeger.html
http___www.ri.cmu.edu_pub_files_pub2_leger_patrick__chris__1999_1_leger_patrick__chris__1999_1.ps.gz http://www.ri.cmu.edu/pub_files/pub2/leger_patrick__chris__1999_1/leger_patrick__chris__1999_1.ps.gz
http___www.ri.cmu.edu_pub_files_pub2_leger_patrick__chris__1999_1_leger_patrick__chris__1999_1.pdf http://www.ri.cmu.edu/pub_files/pub2/leger_patrick__chris__1999_1/leger_patrick__chris__1999_1.pdf
DBLP:conf/sigsoft/GouesFW10 The case for software evolution
ClaireLeGoues.html
StephanieForrest.html
WestleyWeimer.html
http___www.cs.virginia.edu__weimer_p_p205-legoues.pdf http://www.cs.virginia.edu/~weimer/p/p205-legoues.pdf
http___dx.doi.org_10.1145_1882362.1882406 http://dx.doi.org/10.1145/1882362.1882406
DBLP:journals/tse/GouesNFW12 GenProg: A Generic Method for Automatic Software Repair
ClaireLeGoues.html
ThanhVuNguyen.html
StephanieForrest.html
WestleyWeimer.html
http___www.cs.virginia.edu__weimer_p_weimer-tse2012-genprog.pdf http://www.cs.virginia.edu/~weimer/p/weimer-tse2012-genprog.pdf
http___dx.doi.org_10.1109_TSE.2011.104 http://dx.doi.org/10.1109/TSE.2011.104
https___squareslab.github.io_genprog-code_ https://squareslab.github.io/genprog-code/
LeGoues:2012:ICSE A Systematic Study of Automated Program Repair: Fixing 55 out of 105 bugs for \$8 Each
ClaireLeGoues.html
MichaelDewey-Vogt.html
StephanieForrest.html
WestleyWeimer.html
http___dijkstra.cs.virginia.edu_genprog_papers_weimer-icse2012-genprog-preprint.pdf http://dijkstra.cs.virginia.edu/genprog/papers/weimer-icse2012-genprog-preprint.pdf
https___squareslab.github.io_genprog-code_ https://squareslab.github.io/genprog-code/
http___dx.doi.org_10.1109_ICSE.2012.6227211 http://dx.doi.org/10.1109/ICSE.2012.6227211
LeGoues:2012:GECCO Representations and operators for improving evolutionary software repair
ClaireLeGoues.html
WestleyWeimer.html
StephanieForrest.html
http___www.clairelegoues.com.s3-website-us-east-1.amazonaws.com_docs_genprog-gecco2012-preprint.pdf http://www.clairelegoues.com.s3-website-us-east-1.amazonaws.com/docs/genprog-gecco2012-preprint.pdf
http___dx.doi.org_10.1145_2330163.2330296 http://dx.doi.org/10.1145/2330163.2330296
LeGoues:thesis Automatic Program Repair Using Genetic Programming
ClaireLeGoues.html
http___www.cs.virginia.edu__weimer_students_claire-phd.pdf http://www.cs.virginia.edu/~weimer/students/claire-phd.pdf
https___doi.org_10.18130_V3KZ3C https://doi.org/10.18130/V3KZ3C
legouesWFSQJO2013 Current challenges in automatic software repair
ClaireLeGoues.html
StephanieForrest.html
WestleyWeimer.html
http___dx.doi.org_10.1007_s11219-013-9208-0 http://dx.doi.org/10.1007/s11219-013-9208-0
http___www.cs.cmu.edu__clegoues_docs_legoues-sqjo13.pdf http://www.cs.cmu.edu/~clegoues/docs/legoues-sqjo13.pdf
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.368.1034 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.368.1034
http___dx.doi.org_10.1007_s11219-013-9208-0 http://dx.doi.org/10.1007/s11219-013-9208-0
LeGoues:2018:GI Evolving Software Quality
ClaireLeGoues.html
http___www.cs.ucl.ac.uk_staff_w.langdon_icse2018_GI_2018_FM_to_chair_04-26-18.pdf http://www.cs.ucl.ac.uk/staff/w.langdon/icse2018/GI_2018_FM_to_chair_04-26-18.pdf
cacm2019_program_repair Automated Program Repair
ClaireLeGoues.html
MichaelPradel.html
AbhikRoychoudhury.html
http___software-lab.org_publications_cacm2019_program_repair.pdf http://software-lab.org/publications/cacm2019_program_repair.pdf
http___dx.doi.org_10.1145_3318162 http://dx.doi.org/10.1145/3318162
https___youtu.be_MGpJEa8makw https://youtu.be/MGpJEa8makw
oai:HAL:tel-02429815v1 Artificial evolution, fractal analysis and applications
PierrickLegrand.html
https___hal.inria.fr_tel-02429815_document https://hal.inria.fr/tel-02429815/document
https___hal.inria.fr_tel-02429815_file_HDR_depot_HAL_20200108_biffe.pdf https://hal.inria.fr/tel-02429815/file/HDR_depot_HAL_20200108_biffe.pdf
Leguizamon:2011:GPEM Arthur K. Kordon: Applying computational intelligence: how to create value, Springer, 2009, Hardcover, 459 pages, ISBN: 978-3-540-69910-1
GuillermoLeguizamon.html
http___dx.doi.org_10.1007_s10710-010-9120-3 http://dx.doi.org/10.1007/s10710-010-9120-3
DBLP:journals/informaticaLT/LehirecheR04 Evolving in Real Time a Neural Net Controller of Robot-Arm: Track and Evolve
AhmedLehireche.html
AbdellatifRahmoun.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.532.6397 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.532.6397
http___www.mii.lt_Informatica_pdf_INFO539.pdf http://www.mii.lt/Informatica/pdf/INFO539.pdf
http___content.iospress.com_download_informatica_inf15-1-05_id_informatica_2Finf15-1-05 http://content.iospress.com/download/informatica/inf15-1-05?id=informatica%2Finf15-1-05
http___content.iospress.com_articles_informatica_inf15-1-05 http://content.iospress.com/articles/informatica/inf15-1-05
http___dblp.uni-trier.de_rec_bib_journals_informaticaLT_LehirecheR04 http://dblp.uni-trier.de/rec/bib/journals/informaticaLT/LehirecheR04
Lehman:2010:gecco Efficiently evolving programs through the search for novelty
JoelLehman.html
KennethOStanley.html
http___dx.doi.org_10.1145_1830483.1830638 http://dx.doi.org/10.1145/1830483.1830638
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.365.4409 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.365.4409
http___eplex.cs.ucf.edu_papers_lehman_gecco10b.pdf http://eplex.cs.ucf.edu/papers/lehman_gecco10b.pdf
Lehman:2011:GPTP Novelty Search and the Problem with Objectives
JoelLehman.html
KennethOStanley.html
http___dx.doi.org_10.1007_978-1-4614-1770-5_3 http://dx.doi.org/10.1007/978-1-4614-1770-5_3
Lehman:2011:EC Abandoning Objectives: Evolution through the Search for Novelty Alone
JoelLehman.html
KennethOStanley.html
http___dx.doi.org_10.1162_EVCO_a_00025 http://dx.doi.org/10.1162/EVCO_a_00025
Lehman:thesis Evolution Through the Search for Novelty
JoelLehman.html
http___joellehman.com_lehman-dissertation.pdf http://joellehman.com/lehman-dissertation.pdf
http___purl.fcla.edu_fcla_etd_CFE0004398 http://purl.fcla.edu/fcla/etd/CFE0004398
DBLP:journals/corr/abs-1803-03453 The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities
JoelLehman.html
JeffClune.html
DusanMisevic.html
ChristophAdami.html
JulieBeaulieu.html
PeterJBentley.html
SamuelBernard.html
GuillaumeBeslon.html
DavidMBryson.html
PatrykChrabaszcz.html
NickCheney.html
AntoineCully.html
StephaneDoncieux.html
FredCDyer.html
KaiOlavEllefsen.html
RobertFeldt.html
StephanFischer.html
StephanieForrest.html
AntoineFrenoy.html
ChristianGagne.html
LeniKLeGoff.html
LauraMGrabowski.html
BabakHodjat.html
FrankHutter.html
LaurentKeller.html
CaroleKnibbe.html
PeterKrcah.html
RichardELenski.html
HodLipson.html
RobertMacCurdy.html
CarlosMaestre.html
RistoMiikkulainen.html
SaraMitri.html
DavidEMoriarty.html
Jean-BaptisteMouret.html
AnhQuangNguyen.html
CharlesOfria.html
MarcParizeau.html
DavidPParsons.html
RobertTPennock.html
WilliamFPunch.html
ThomasSRay.html
MarcSchoenauer.html
EricSchulte.html
KarlSims.html
KennethOStanley.html
FrancoisTaddei.html
DaneshTarapore.html
SimonThibault.html
WestleyWeimer.html
RichardAWatson.html
JasonYosinksi.html
https___dblp.org_rec_bib_journals_corr_abs-1803-03453 https://dblp.org/rec/bib/journals/corr/abs-1803-03453
http___arxiv.org_abs_1803.03453 http://arxiv.org/abs/1803.03453
Lehman:2019:GPTP Evolutionary Computation and AI Safety
JoelLehman.html
http___dx.doi.org_10.1007_978-3-030-39958-0_10 http://dx.doi.org/10.1007/978-3-030-39958-0_10
Lehman:2020:alife The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities
JoelLehman.html
JeffClune.html
DusanMisevic.html
ChristophAdami.html
LeeAltenberg.html
JulieBeaulieu.html
PeterJBentley.html
SamuelBernard.html
GuillaumeBeslon.html
DavidMBryson.html
NickCheney.html
PatrykChrabaszcz.html
AntoineCully.html
StephaneDoncieux.html
FredCDyer.html
KaiOlavEllefsen.html
RobertFeldt.html
StephanFischer.html
StephanieForrest.html
AntoineFrenoy.html
ChristianGagne.html
LeniKLeGoff.html
LauraMGrabowski.html
BabakHodjat.html
FrankHutter.html
LaurentKeller.html
CaroleKnibbe.html
PeterKrcah.html
RichardELenski.html
HodLipson.html
RobertMacCurdy.html
CarlosMaestre.html
RistoMiikkulainen.html
SaraMitri.html
DavidEMoriarty.html
Jean-BaptisteMouret.html
AnhQuangNguyen.html
CharlesOfria.html
MarcParizeau.html
DavidParsons.html
RobertTPennock.html
WilliamFPunch.html
ThomasSRay.html
MarcSchoenauer.html
EricSchulte.html
KarlSims.html
KennethOStanley.html
FrancoisTaddei.html
DaneshTarapore.html
SimonThibault.html
RichardAWatson.html
WestleyWeimer.html
JasonYosinski.html
http___dx.doi.org_10.1162_artl_a_00319 http://dx.doi.org/10.1162/artl_a_00319
Lehman:2022:ELM Evolution through Large Models
JoelLehman.html
JonathanGordon.html
ShawnJain.html
KamalNdousse.html
CathyYeh.html
KennethOStanley.html
https___arxiv.org_abs_2206.08896 https://arxiv.org/abs/2206.08896
https___y2u.be_8C2K5fk28HI https://y2u.be/8C2K5fk28HI
https___github.com_CarperAI_OpenELM https://github.com/CarperAI/OpenELM
Lehman:2023:GPTP The OpenELM Library: Leveraging Progress in Language Models for Novel Evolutionary Algorithms
HerbieBradley.html
HongluFan.html
TheodorosGalanos.html
RyanZhou.html
DanielScott.html
JoelLehman.html
http___dx.doi.org_10.1007_978-981-99-8413-8_10 http://dx.doi.org/10.1007/978-981-99-8413-8_10
https___github.com_CarperAI_OpenELM https://github.com/CarperAI/OpenELM
Lehmann:2007:MLDM Hybrid Learning of Ontology Classes
JensLehmann.html
http___dx.doi.org_10.1007_978-3-540-73499-4_66 http://dx.doi.org/10.1007/978-3-540-73499-4_66
jl_2010/phd_thesis Learning OWL Class Expressions
JensLehmann.html
http___jens-lehmann.org_files_2010_phd_thesis.pdf http://jens-lehmann.org/files/2010/phd_thesis.pdf
leier:2003:gecco Evolving Hogg's Quantum Algorithm Using Linear-Tree GP
AndreLeier.html
WolfgangBanzhaf.html
http___dx.doi.org_10.1007_3-540-45105-6_48 http://dx.doi.org/10.1007/3-540-45105-6_48
Leier:2003:Etssoqp Exploring the search space of quantum programs
AndreLeier.html
WolfgangBanzhaf.html
http___www.cs.mun.ca__leier_publications_cec03.pdf http://www.cs.mun.ca/~leier/publications/cec03.pdf
http___dx.doi.org_10.1109_CEC.2003.1299571 http://dx.doi.org/10.1109/CEC.2003.1299571
oai:eldorado:0x0007ce5c Evolution of Quantum Algorithms using Genetic Programming
AndreLeier.html
https___eldorado.uni-dortmund.de_bitstream_2003_2745_1_Leierunt.pdf https://eldorado.uni-dortmund.de/bitstream/2003/2745/1/Leierunt.pdf
http___hdl.handle.net_2003_2745 http://hdl.handle.net/2003/2745
eurogp06:LeierKuoBanzhafBurrage Evolving noisy oscillatory dynamics in genetic regulatory networks
AndreLeier.html
PDwightKuo.html
WolfgangBanzhaf.html
KevinBurrage.html
http___www.cs.mun.ca__banzhaf_papers_eurogp06.pdf http://www.cs.mun.ca/~banzhaf/papers/eurogp06.pdf
http___dx.doi.org_10.1007_11729976_26 http://dx.doi.org/10.1007/11729976_26
Leier:2007:ACS Analysis of preferential network motif generation in an artificial regulatory network model created by duplication and divergence
AndreLeier.html
PDwightKuo.html
WolfgangBanzhaf.html
http___dx.doi.org_10.1142_S0219525907000994 http://dx.doi.org/10.1142/S0219525907000994
Leier:2014:GPEM Emergence in simulated evolution
AndreLeier.html
http___dx.doi.org_10.1007_s10710-013-9201-1 http://dx.doi.org/10.1007/s10710-013-9201-1
Leitao:2013:GECCO Self-adaptive mate choice for cluster geometry optimization
AntonioLeitao.html
PenousalMachado.html
http___dx.doi.org_10.1145_2463372.2463494 http://dx.doi.org/10.1145/2463372.2463494
Leitao:2015:hbgpa Mate Choice in Evolutionary Computation
AntonioLeitao.html
PenousalMachado.html
http___dx.doi.org_10.1007_978-3-319-20883-1_7 http://dx.doi.org/10.1007/978-3-319-20883-1_7
LEITAOJUNIOR:2020:IST Search-based fault localisation: A systematic mapping study
PliniodeSaLeitaoJunior.html
DiogoMFreitas.html
SilviaReginaVergilio.html
CelsoGCamilo-Junior.html
RachelHarrison.html
http___dx.doi.org_10.1016_j.infsof.2020.106295 http://dx.doi.org/10.1016/j.infsof.2020.106295
http___www.sciencedirect.com_science_article_pii_S0950584920300458 http://www.sciencedirect.com/science/article/pii/S0950584920300458
Leite:2023:EuroGP Memetic Semantic Genetic Programming for Symbolic Regression
AlessandroLeiteFerreira.html
MarcSchoenauer.html
https___rdcu.be_c8UZJ https://rdcu.be/c8UZJ
http___dx.doi.org_10.1007_978-3-031-29573-7_13 http://dx.doi.org/10.1007/978-3-031-29573-7_13
leitner2012marsterrain Mars Terrain Image Classification using Cartesian Genetic Programming
JuergenLeitner.html
SimonHarding.html
AlexanderForster.html
JurgenSchmidhuber.html
http___juxi.net_papers_isairas2012leitner.pdf http://juxi.net/papers/isairas2012leitner.pdf
Leitner:2012:ICDL Autonomous learning of robust visual object detection and identification on a humanoid
JuergenLeitner.html
PramodChandrashekhariah.html
SimonHarding.html
MikhailFrank.html
GabrieleSpina.html
AlexanderForster.html
JochenTriesch.html
JurgenSchmidhuber.html
http___dx.doi.org_10.1109_DevLrn.2012.6400826 http://dx.doi.org/10.1109/DevLrn.2012.6400826
Leitner:2012:IJARS Learning Spatial Object Localization from Vision on a Humanoid Robot
JuergenLeitner.html
SimonHarding.html
MikhailFrank.html
AlexanderForster.html
JurgenSchmidhuber.html
http___www.intechopen.com_journals_international_journal_of_advanced_robotic_systems_learning-spatial-object-localization-from-vision-on-a-humanoid-robot http://www.intechopen.com/journals/international_journal_of_advanced_robotic_systems/learning-spatial-object-localization-from-vision-on-a-humanoid-robot
http___dx.doi.org_10.5772_54657 http://dx.doi.org/10.5772/54657
Leitner:2013:CEC Humanoid Learns to Detect Its Own Hands
JuergenLeitner.html
SimonHarding.html
MikhailFrank.html
AlexanderForster.html
JurgenSchmidhuber.html
http___dx.doi.org_10.1109_CEC.2013.6557729 http://dx.doi.org/10.1109/CEC.2013.6557729
oai:CiteSeerX.psu:10.1.1.297.4992 Towards Spatial Perception: Learning to Locate Objects From Vision
JuergenLeitner.html
SimonHarding.html
MikhailFrank.html
AlexanderForster.html
JurgenSchmidhuber.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.297.4992 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.297.4992
http___www.idsia.ch__alexander_2012_9_RobotDoc2012.pdf http://www.idsia.ch/~alexander/2012/9/RobotDoc2012.pdf
Leitner:2013:BICA Learning visual object detection and localisation using icVision
JuergenLeitner.html
SimonHarding.html
PramodChandrashekhariah.html
MikhailFrank.html
AlexanderForster.html
JochenTriesch.html
JurgenSchmidhuber.html
http___www.sciencedirect.com_science_article_pii_S2212683X13000443 http://www.sciencedirect.com/science/article/pii/S2212683X13000443
http___dx.doi.org_10.1016_j.bica.2013.05.009 http://dx.doi.org/10.1016/j.bica.2013.05.009
Leitner:2014:IJCNN Improving robot vision models for object detection through interaction
JuergenLeitner.html
AFoerster.html
JurgenSchmidhuber.html
http___dx.doi.org_10.1109_IJCNN.2014.6889556 http://dx.doi.org/10.1109/IJCNN.2014.6889556
Leitner:thesis Towards adaptive and autonomous humanoid robots: From Vision to Actions
JuergenLeitner.html
http___doc.rero.ch_record_257528 http://doc.rero.ch/record/257528
http___doc.rero.ch_record_257528_files_2014INFO020.pdf http://doc.rero.ch/record/257528/files/2014INFO020.pdf
1144162 Pareto-coevolutionary genetic programming classifier
MichalLemczyk.html
MalcolmHeywood.html
http___gpbib.cs.ucl.ac.uk_gecco2006_docs_p945.pdf http://gpbib.cs.ucl.ac.uk/gecco2006/docs/p945.pdf
http___dx.doi.org_10.1145_1143997.1144162 http://dx.doi.org/10.1145/1143997.1144162
eurogp07:lemczyk Training Binary GP Classifiers Efficiently: a Pareto-coevolutionary Approach
MichalLemczyk.html
MalcolmHeywood.html
http___dx.doi.org_10.1007_978-3-540-71605-1_21 http://dx.doi.org/10.1007/978-3-540-71605-1_21
AleLem02 Genetical Engineering of Handwriting Representations
AlexandreLemieux.html
ChristianGagne.html
MarcParizeau.html
http___www.gel.ulaval.ca__cgagne_pubs_iwfhr02.pdf http://www.gel.ulaval.ca/~cgagne/pubs/iwfhr02.pdf
http___vision.gel.ulaval.ca_en_publications_Id_40_PublDetails.php http://vision.gel.ulaval.ca/en/publications/Id_40/PublDetails.php
http___dx.doi.org_10.1109_IWFHR.2002.1030900 http://dx.doi.org/10.1109/IWFHR.2002.1030900
http___citeseer.ist.psu.edu_509026.html http://citeseer.ist.psu.edu/509026.html
lenaerts:1998:GPfavdp Building a Genetic Programming Framework: The Added-Value of Design Patterns
TomLenaerts.html
BernardManderick.html
http___dx.doi.org_10.1007_BFb0055939 http://dx.doi.org/10.1007/BFb0055939
Lenahan:2006:sigevo The Synthesis of Evolutionary Algorithms and Quantum Computing
JackLenahan.html
http___www.sigevolution.org_2006_03_issue.pdf http://www.sigevolution.org/2006/03/issue.pdf
Lenartowicz:2016:GECCOcomp mpEAd: Multi-Population EA Diagrams
SebastianLenartowicz.html
MarkWineberg.html
http___dx.doi.org_10.1145_2908961.2909011 http://dx.doi.org/10.1145/2908961.2909011
Lenehan:2012:cancer Generation and external validation of a tumor-derived 5-gene prognostic signature for recurrence of lymph node-negative, invasive colorectal carcinoma
PeterFLenehan.html
LisaABoardman.html
DouglasRiegert-Johnson.html
GiovanniDePetris.html
DavidWFry.html
JeanneOhrnberger.html
EugeneRHeyman.html
BrigitteGerard.html
ArpitAAlmal.html
WilliamPWorzel.html
http___dx.doi.org_10.1002_cncr.27628 http://dx.doi.org/10.1002/cncr.27628
Lennartsson:2004:EURASIP A Genetic Programming Method for the Identification of Signal Peptides and Prediction of Their Cleavage Sites
DavidLennartsson.html
PeterNordin.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.398.1015 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.398.1015
http___asp.eurasipjournals.com_content_pdf_1687-6180-2004-153697.pdf http://asp.eurasipjournals.com/content/pdf/1687-6180-2004-153697.pdf
http___dx.doi.org_10.1155_S1110865704309108 http://dx.doi.org/10.1155/S1110865704309108
Lensberg:1997:GPeibuku A Genetic Programming Experiment on Investment Behavior under Knightian Uncertainty
TerjeLensberg.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_gp1997_Lensberg_1997_GPeibuku.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/gp1997/Lensberg_1997_GPeibuku.pdf
Lensberg:1999:JEDC Investment behavior under Knightian uncertainty - An evolutionary approach
TerjeLensberg.html
http___www.sciencedirect.com_science_article_B6V85-3Y9RKX5-G_2_6c6369b7934fdea4d1937c49a35ada38 http://www.sciencedirect.com/science/article/B6V85-3Y9RKX5-G/2/6c6369b7934fdea4d1937c49a35ada38
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.205.7821 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.205.7821
http___sci2s.ugr.es_keel_pdf_specific_articulo_science2_31.pdf http://sci2s.ugr.es/keel/pdf/specific/articulo/science2_31.pdf
http___dx.doi.org_10.1016_S0165-1889_98_00085-2 http://dx.doi.org/10.1016/S0165-1889(98)00085-2
Lensberg:2005:EJOR Bankruptcy theory development and classification via genetic programming
TerjeLensberg.html
AasmundEilifsen.html
ThomasEMcKee.html
http___www.sciencedirect.com_science_article_B6VCT-4D5P6FY-8_2_b08574948226f93f16a6013ffef1cd19 http://www.sciencedirect.com/science/article/B6VCT-4D5P6FY-8/2/b08574948226f93f16a6013ffef1cd19
http___dx.doi.org_10.1016_j.ejor.2004.06.013 http://dx.doi.org/10.1016/j.ejor.2004.06.013
Lensberg:2007:RoF On the Evolution of Investment Strategies and the Kelly Rule A Darwinian Approach
TerjeLensberg.html
KlausReinerSchenk-Hoppe.html
http___www.univie.ac.at_rof_papers_pdf_Lensberg-Schenk-Hoppe_Kelly_20Rule.pdf http://www.univie.ac.at/rof/papers/pdf/Lensberg-Schenk-Hoppe_Kelly%20Rule.pdf
http___www.nccr-finrisk.unizh.ch_media_pdf_RoF07_Vol11_pages25_50.pdf http://www.nccr-finrisk.unizh.ch/media/pdf/RoF07_Vol11_pages25_50.pdf
http___dx.doi.org_10.1093_rof_rfm003 http://dx.doi.org/10.1093/rof/rfm003
Lensberg:2013:QFL Hedging without sweat: a genetic programming approach
TerjeLensberg.html
KlausReinerSchenk-Hoppe.html
http___dx.doi.org_10.1080_21649502.2013.813166 http://dx.doi.org/10.1080/21649502.2013.813166
Lensberg2015103 Costs and benefits of financial regulation: Short-selling bans and transaction taxes
TerjeLensberg.html
KlausReinerSchenk-Hoppe.html
DanLadley.html
http___www.sciencedirect.com_science_article_pii_S0378426614003458 http://www.sciencedirect.com/science/article/pii/S0378426614003458
http___dx.doi.org_10.1016_j.jbankfin.2014.10.014 http://dx.doi.org/10.1016/j.jbankfin.2014.10.014
Lensberg2021 Cold play: Learning across bimatrix games
TerjeLensberg.html
KlausReinerSchenk-Hoppe.html
https___www.sciencedirect.com_science_article_pii_S0167268121000949 https://www.sciencedirect.com/science/article/pii/S0167268121000949
https___gplab.nhh.no_gamesolver.php https://gplab.nhh.no/gamesolver.php
http___dx.doi.org_10.1016_j.jebo.2021.02.027 http://dx.doi.org/10.1016/j.jebo.2021.02.027
Lensen:2015:CEC Genetic Programming for Algae Detection in River Images
AndrewLensen.html
HarithAl-Sahaf.html
MengjieZhang.html
BrijeshVerma.html
http___dx.doi.org_10.1109_CEC.2015.7257191 http://dx.doi.org/10.1109/CEC.2015.7257191
Lensen:2015:IVCNZ A hybrid Genetic Programming approach to feature detection and image classification
AndrewLensen.html
HarithAl-Sahaf.html
MengjieZhang.html
BingXue.html
http___dx.doi.org_10.1109_IVCNZ.2015.7761564 http://dx.doi.org/10.1109/IVCNZ.2015.7761564
Lensen:2016:EuroGP Genetic Programming for Region Detection, Feature Extraction, Feature Construction and Classification in Image Data
AndrewLensen.html
HarithAl-Sahaf.html
MengjieZhang.html
BingXue.html
http___dx.doi.org_10.1007_978-3-319-30668-1_4 http://dx.doi.org/10.1007/978-3-319-30668-1_4
Lensen:2017:GECCO GPGC: Genetic Programming for Automatic Clustering Using a Flexible Non-hyper-spherical Graph-based Approach
AndrewLensen.html
BingXue.html
MengjieZhang.html
http___doi.acm.org_10.1145_3071178.3071222 http://doi.acm.org/10.1145/3071178.3071222
http___dx.doi.org_10.1145_3071178.3071222 http://dx.doi.org/10.1145/3071178.3071222
Lensen:2017:GECCOa Improving K-means Clustering with Genetic Programming for Feature Construction
AndrewLensen.html
BingXue.html
MengjieZhang.html
http___doi.acm.org_10.1145_3067695.3075962 http://doi.acm.org/10.1145/3067695.3075962
http___dx.doi.org_10.1145_3067695.3075962 http://dx.doi.org/10.1145/3067695.3075962
lensen2017new New Representations in Genetic Programming for Feature Construction in k-Means Clustering
AndrewLensen.html
BingXue.html
MengjieZhang.html
https___doi.org_10.1007_978-3-319-68759-9_44 https://doi.org/10.1007/978-3-319-68759-9_44
http___dx.doi.org_10.1007_978-3-319-68759-9_44 http://dx.doi.org/10.1007/978-3-319-68759-9_44
Lensen:2018:EuroGP Generating Redundant Features with Unsupervised Multi-Tree Genetic Programming
AndrewLensen.html
BingXue.html
MengjieZhang.html
http___dx.doi.org_10.1007_978-3-319-77553-1_6 http://dx.doi.org/10.1007/978-3-319-77553-1_6
Lensen:2018:GECCO Automatically evolving difficult benchmark feature selection datasets with genetic programming
AndrewLensen.html
BingXue.html
MengjieZhang.html
http___dx.doi.org_10.1145_3205455.3205552 http://dx.doi.org/10.1145/3205455.3205552
Lensen:2019:EuroGP Can Genetic Programming Do Manifold Learning Too?
AndrewLensen.html
BingXue.html
MengjieZhang.html
https___www.springer.com_us_book_9783030166694 https://www.springer.com/us/book/9783030166694
http___dx.doi.org_10.1007_978-3-030-16670-0_8 http://dx.doi.org/10.1007/978-3-030-16670-0_8
Lensen:thesis Evolutionary Feature Manipulation in Unsupervised Learning
AndrewLensen.html
http___hdl.handle.net_10063_8617 http://hdl.handle.net/10063/8617
https___researcharchive.vuw.ac.nz_xmlui_bitstream_handle_10063_8617_thesis_access.pdf https://researcharchive.vuw.ac.nz/xmlui/bitstream/handle/10063/8617/thesis_access.pdf
Lensen:EC Genetic Programming for Evolving Similarity Functions for Clustering: Representations and Analysis
AndrewLensen.html
BingXue.html
MengjieZhang.html
http___dx.doi.org_10.1162_evco_a_00264 http://dx.doi.org/10.1162/evco_a_00264
Lensen:GPEM:H2019 Multi-objective genetic programming for manifold learning: balancing quality and dimensionality
AndrewLensen.html
MengjieZhang.html
BingXue.html
http___dx.doi.org_10.1007_s10710-020-09375-4 http://dx.doi.org/10.1007/s10710-020-09375-4
Lensen:ieeeCYB Genetic Programming for Evolving a Front of Interpretable Models for Data Visualization
AndrewLensen.html
BingXue.html
MengjieZhang.html
http___dx.doi.org_10.1109_TCYB.2020.2970198 http://dx.doi.org/10.1109/TCYB.2020.2970198
https___arxiv.org_abs_2001.09578 https://arxiv.org/abs/2001.09578
Lensen:2021:EuroGP Mining Feature Relationships in Data
AndrewLensen.html
https___arxiv.org_abs_2102.01355 https://arxiv.org/abs/2102.01355
http___dx.doi.org_10.1007_978-3-030-72812-0_16 http://dx.doi.org/10.1007/978-3-030-72812-0_16
Lensen:ieeeTEC Genetic Programming for Manifold Learning: Preserving Local Topology
AndrewLensen.html
BingXue.html
MengjieZhang.html
https___www.andrewlensen.com_files_lensen2021genetic.pdf https://www.andrewlensen.com/files/lensen2021genetic.pdf
https___arxiv.org_abs_2108.09914 https://arxiv.org/abs/2108.09914
http___dx.doi.org_10.1109_TEVC.2021.3106672 http://dx.doi.org/10.1109/TEVC.2021.3106672
lensertan Genetic Algorithms for Synthesizing Data Value Predictors
ScottRLenser.html
DesneySTan.html
http___www.cs.cmu.edu__slenser_ca_project http://www.cs.cmu.edu/~slenser/ca_project
http___www.cs.cmu.edu__slenser_ca_project_lensertan.pdf http://www.cs.cmu.edu/~slenser/ca_project/lensertan.pdf
lent:1994:trade Evolution of Trade Strategies using Genetic Algorithms and Genetic Programming
BrianLent.html
Leonard:2015:GECCO Efficient Evolution of High Entropy RNGs Using Single Node Genetic Programming
PhilipLeonard.html
DavidJackson.html
http___doi.acm.org_10.1145_2739480.2754820 http://doi.acm.org/10.1145/2739480.2754820
http___dx.doi.org_10.1145_2739480.2754820 http://dx.doi.org/10.1145/2739480.2754820
Leong:2018:JMCE Effects of significant variables on compressive strength of soil-fly ash geopolymer: variable analytical approach based on neural networks and genetic programming
HsiaoYunLeong.html
DominicEkLeongOng.html
JayGSanjayan.html
SzeMiangKueh.html
http___hdl.handle.net_1959.3_443163 http://hdl.handle.net/1959.3/443163
https___researchbank.swinburne.edu.au_items_a778b74d-b507-44cd-a0fd-5f94c2f1cc37_1_ https://researchbank.swinburne.edu.au/items/a778b74d-b507-44cd-a0fd-5f94c2f1cc37/1/
http___dx.doi.org_10.1061__ASCE_MT.1943-5533.0002246 http://dx.doi.org/10.1061/(ASCE)MT.1943-5533.0002246
leong:1998:GSRC Genetically Solving a Rubik's Cube
KianFaiLeong.html
Leong:2013:ICCSCE Self-synthesized controllers for tower defense game using genetic programming
LeowChinLeong.html
GanKimSoon.html
TanTseGuan.html
ChinKimOn.html
RaynerAlfred.html
PatriciaAnthony.html
http___dx.doi.org_10.1109_ICCSCE.2013.6720014 http://dx.doi.org/10.1109/ICCSCE.2013.6720014
Leroux:2014:GECCOcomp A genetic programming problem definition language code generator for the epochX framework
ClarisLeroux.html
FernandoEstebanBarrilOtero.html
ColinGJohnson.html
http___doi.acm.org_10.1145_2598394.2605691 http://doi.acm.org/10.1145/2598394.2605691
http___dx.doi.org_10.1145_2598394.2605691 http://dx.doi.org/10.1145/2598394.2605691
lesko:1999:BBWHEMWWUGP Building a Better Wumpuus Hunter: Evaluating Memory in the World of the Wumpus Using Genetic Programming
JimLesko.html
Letia:2012:AQTR Controller synthesis method for Discrete Event Systems
TiberiuSLetia.html
MihaiHulea.html
OctavianPCuibus.html
http___dx.doi.org_10.1109_AQTR.2012.6237680 http://dx.doi.org/10.1109/AQTR.2012.6237680
conf/rita/LetiaC13 Automatic Linear Robot Control Synthesis Using Genetic Programming
TiberiuSLetia.html
OctavianPCuibus.html
http___dx.doi.org_10.1007_978-3-319-05582-4 http://dx.doi.org/10.1007/978-3-319-05582-4
Letia:2014:ICSTCC Enhancing the Time Petri Nets for Automatic Hybrid Control Synthesis
TiberiuSLetia.html
OrsKilyen.html
http___dx.doi.org_10.1109_ICSTCC.2014.6982486 http://dx.doi.org/10.1109/ICSTCC.2014.6982486
Letia:2015:ieeeICCP Evolutionary synthesis of hybrid controllers
TiberiuSLetia.html
AttilaOKilyen.html
http___dx.doi.org_10.1109_ICCP.2015.7312618 http://dx.doi.org/10.1109/ICCP.2015.7312618
Letia:2013:PV Automatic Control Synthesis of Hydro-Power Systems
TiberiuSLetia.html
OctavianPCuibus.html
MihaiHulea.html
RMiron.html
http___dx.doi.org_10.3182_20130522-3-RO-4035.00027 http://dx.doi.org/10.3182/20130522-3-RO-4035.00027
http___www.sciencedirect.com_science_article_pii_S1474667016341945 http://www.sciencedirect.com/science/article/pii/S1474667016341945
vuw-CS-TR-04-12 New Fitness Functions in Genetic Programming for Object Detection
MalcolmLett.html
MengjieZhang.html
http___www.mcs.vuw.ac.nz_comp_Publications_CS-TR-04-12.abs.html http://www.mcs.vuw.ac.nz/comp/Publications/CS-TR-04-12.abs.html
http___www.mcs.vuw.ac.nz_comp_Publications_archive_CS-TR-04_CS-TR-04-12.ps.gz http://www.mcs.vuw.ac.nz/comp/Publications/archive/CS-TR-04/CS-TR-04-12.ps.gz
http___www.mcs.vuw.ac.nz_comp_Publications_archive_CS-TR-04_CS-TR-04-12.pdf http://www.mcs.vuw.ac.nz/comp/Publications/archive/CS-TR-04/CS-TR-04-12.pdf
LettZhang:04:ivcnz New Fitness Functions in Genetic Programming for Object Detection
MalcolmLett.html
MengjieZhang.html
http___www.worldcat.org_title_proceedings-image-and-vision-computing-new-zealand-2004-the-gaiety-hall-akaroa-new-zealand-21-23-november-2004_oclc_156245877 http://www.worldcat.org/title/proceedings-image-and-vision-computing-new-zealand-2004-the-gaiety-hall-akaroa-new-zealand-21-23-november-2004/oclc/156245877
Lett:BSc Improving Training Performance of Genetic Programming for Object Detection
MalcolmLett.html
http___homepages.ecs.vuw.ac.nz__mengjie_students_malcolm.pdf http://homepages.ecs.vuw.ac.nz/~mengjie/students/malcolm.pdf
Leung:2002:ICAIET Genetic Parallel Programming - Evolving Linear Machine Codes on a Multiple-ALU Processor
Kwong-SakLeung.html
Kin-HongLee.html
IvanSinManCheang.html
leung:2002:epmpfamp Evolving Parallel Machine Programs for a Multi-ALU Processor
Kwong-SakLeung.html
Kin-HongLee.html
IvanSinManCheang.html
http___dx.doi.org_10.1109_CEC.2002.1004499 http://dx.doi.org/10.1109/CEC.2002.1004499
leung03 Parallel Programs are More Evolvable than Sequential Programs
Kwong-SakLeung.html
Kin-HongLee.html
IvanSinManCheang.html
http___dx.doi.org_10.1007_3-540-36599-0_10 http://dx.doi.org/10.1007/3-540-36599-0_10
conf/amw/LevinH10 Using Genetic Programming to Evaluate the Impact of Social Network Analysis in Author Name Disambiguation
FelipeHoppeLevin.html
CarlosAHeuser.html
http___ceur-ws.org_Vol-619_paper2.pdf http://ceur-ws.org/Vol-619/paper2.pdf
Levine:evowks03 Learning Action Strategies for Planning Domains using Genetic Programming
JohnLevine.html
DavidHumphreys.html
http___www.cis.strath.ac.uk__johnl_papers_levine-evostim03.pdf http://www.cis.strath.ac.uk/~johnl/papers/levine-evostim03.pdf
http___citeseer.ist.psu.edu_569259.html http://citeseer.ist.psu.edu/569259.html
http___dx.doi.org_10.1007_3-540-36605-9_62 http://dx.doi.org/10.1007/3-540-36605-9_62
Levy:2005:ru Robots Unlimited: Life in a Virtual Age
DavidLevy.html
http___www.amazon.co.uk_Robots-Unlimited-Life-Virtual-Age_dp_1568812396 http://www.amazon.co.uk/Robots-Unlimited-Life-Virtual-Age/dp/1568812396
Lew:2010:HFES Assessing Mental Workload from Skin Conductance and Pupillometry using Wavelets and Genetic Programming
RogerLew.html
BrianPDyre.html
TerenceSoule.html
StuartARagsdale.html
SteffenWerner.html
http___dx.doi.org_10.1177_154193121005400315 http://dx.doi.org/10.1177/154193121005400315
Lew:2006:MSSP Identification of response surface models using genetic programming
TLLew.html
AndrewSpencer.html
FabrizioScarpa.html
KeithWorden.html
ARutherford.html
FrancoisMHemez.html
http___dx.doi.org_10.1016_j.ymssp.2005.12.003 http://dx.doi.org/10.1016/j.ymssp.2005.12.003
Lewin:2005:IFAC Applications in IC Manufacturing
DanielRLewin.html
SivanLachman-Shalem.html
BenyaminGrosman.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.468.1497 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.468.1497
http___www.nt.ntnu.no_users_skoge_prost_proceedings_ifac2005_Fullpapers_03538.pdf http://www.nt.ntnu.no/users/skoge/prost/proceedings/ifac2005/Fullpapers/03538.pdf
Lewin:2006:CEP The role of process system engineering (PSE) in integrated circuit (IC) manufacturing
DanielRLewin.html
SivanLachman-Shalem.html
BenyaminGrosman.html
http___dx.doi.org_10.1016_j.conengprac.2006.04.003 http://dx.doi.org/10.1016/j.conengprac.2006.04.003
lewis:evows04 Aesthetic Video Filter Evolution in an Interactive Real-time Framework
MatthewLewis.html
http___accad.osu.edu_research_interactive_performance_htmls_video.pdf http://accad.osu.edu/research/interactive_performance_htmls/video.pdf
http___dx.doi.org_10.1007_978-3-540-24653-4_42 http://dx.doi.org/10.1007/978-3-540-24653-4_42
Lewis:2006:VTC Enhancing IEEE802.11 DCF using Genetic Programming
TimLewis.html
NeilFanning.html
GaryClemo.html
http___dx.doi.org_10.1109_VETECS.2006.1683037 http://dx.doi.org/10.1109/VETECS.2006.1683037
DBLP:conf/gecco/LewisH09 Formal verification to enhance evolution of protocols
TimLewis.html
RussellJHaines.html
http___dx.doi.org_10.1145_1569901.1570219 http://dx.doi.org/10.1145/1569901.1570219
Lewis:2008:gecco TREAD: A new genetic programming representation aimed at research of long term complexity growth
TonyLewis.html
GeorgeDMagoulas.html
http___gpbib.cs.ucl.ac.uk_gecco2008_docs_p1339.pdf http://gpbib.cs.ucl.ac.uk/gecco2008/docs/p1339.pdf
http___dx.doi.org_10.1145_1389095.1389353 http://dx.doi.org/10.1145/1389095.1389353
DBLP:conf/gecco/LewisM09 Strategies to minimise the total run time of cyclic graph based genetic programming with GPUs
TonyLewis.html
GeorgeDMagoulas.html
http___dx.doi.org_10.1145_1569901.1570086 http://dx.doi.org/10.1145/1569901.1570086
http___results.ref.ac.uk_Submissions_Output_457444 http://results.ref.ac.uk/Submissions/Output/457444
Lewis:2010:cec Tweaking a tower of blocks leads to a TMBL: Pursuing long term fitness growth in program evolution
TonyLewis.html
GeorgeDMagoulas.html
http___dx.doi.org_10.1109_CEC.2010.5586375 http://dx.doi.org/10.1109/CEC.2010.5586375
http___dx.doi.org_10.1109_CEC.2010.5586375 http://dx.doi.org/10.1109/CEC.2010.5586375
Lewis:2011:CIGPU Identifying Similarities in TMBL Programs with Alignment to Quicken Their Compilation for GPUs
TonyLewis.html
GeorgeDMagoulas.html
http___dx.doi.org_10.1145_2001858.2002032 http://dx.doi.org/10.1145/2001858.2002032
Lewis:2011:CIGPU2 TMBL Kernels for CUDA GPUs Compile Faster Using PTX
TonyLewis.html
GeorgeDMagoulas.html
http___dx.doi.org_10.1145_2001858.2002033 http://dx.doi.org/10.1145/2001858.2002033
Lewis:thesis Accelerating Genetic Programming Using Graphics Processing Units
TonyLewis.html
http___www.dcs.bbk.ac.uk_research_recentphds.php http://www.dcs.bbk.ac.uk/research/recentphds.php
http___www.dcs.bbk.ac.uk_research_recentphds_tonylewis.pdf http://www.dcs.bbk.ac.uk/research/recentphds/tonylewis.pdf
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Li:2010:SICE Automatic program generation with genetic network programming using subroutines
BingLi.html
ShingoMabu.html
KotaroHirasawa.html
http___ieeexplore.ieee.org_xpls_abs_all.jsp_arnumber_5602565 http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5602565
Li:2010:ieeeSMC Tile-world - A case study of Genetic Network Programming with automatic program generation
BingLi.html
ShingoMabu.html
KotaroHirasawa.html
http___dx.doi.org_10.1109_ICSMC.2010.5641793 http://dx.doi.org/10.1109/ICSMC.2010.5641793
Li:2011:VSGNPwBD Variable Size Genetic Network Programming with Binomial Distribution
BingLi.html
XiannengLi.html
ShingoMabu.html
KotaroHirasawa.html
http___dx.doi.org_10.1109_CEC.2011.5949723 http://dx.doi.org/10.1109/CEC.2011.5949723
Li:2012:CECa Towards Automatic Discovery and Reuse of Subroutines in Variable Size Genetic Network Programming
BingLi.html
XiannengLi.html
ShingoMabu.html
KotaroHirasawa.html
http___dx.doi.org_10.1109_CEC.2012.6256512 http://dx.doi.org/10.1109/CEC.2012.6256512
Li:2013:TEEEb Evolving graph-based chromosome by means of variable size genetic network programming with binomial distribution
BingLi.html
XiannengLi.html
ShingoMabu.html
KotaroHirasawa.html
http___dx.doi.org_10.1002_tee.21865 http://dx.doi.org/10.1002/tee.21865
Li:2013:SMC Usage of Frequently Used Node in Variable Size Genetic Network Programming
BingLi.html
ShanqingYu.html
KotaroHirasawa.html
http___dx.doi.org_10.1109_SMC.2013.37 http://dx.doi.org/10.1109/SMC.2013.37
BingLi:thesis Study on Genetic Network Programming with Variable Size Structure and Genotype/Phenotype Mapping Mechanism
BingLi.html
http___hdl.handle.net_2065_44360 http://hdl.handle.net/2065/44360
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http___hdl.handle.net_2065_44360_Honbun-6415.pdf http://hdl.handle.net/2065/44360/Honbun-6415.pdf
https___dl.ndl.go.jp_info_ndljp_pid_8977235 https://dl.ndl.go.jp/info:ndljp/pid/8977235
conf/atal/LiYSM09 Evolutionary organizational search
BoyangLi.html
HanYu.html
ZhiqiShen.html
ChunyanMiao.html
https___dblp.org_rec_conf_atal_LiYSM09.html_view_bibtex https://dblp.org/rec/conf/atal/LiYSM09.html?view=bibtex
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https___dl.acm.org_doi_10.5555_1558109.1558277 https://dl.acm.org/doi/10.5555/1558109.1558277
Li:2015:WI-IAT An Evolutionary Framework for Multi-agent Organizations
BoyangLi.html
HanYu.html
ZhiqiShen.html
LizhenCui.html
VictorRLesser.html
http___dx.doi.org_10.1109_WI-IAT.2015.45 http://dx.doi.org/10.1109/WI-IAT.2015.45
Li2:2008:gecco Stress-based crossover operator for structure topology optimization using small population size and variable length chromosome
CuiminLi.html
TomoyukiHiroyasu.html
MitsunoriMiki.html
http___gpbib.cs.ucl.ac.uk_gecco2008_docs_p1341.pdf http://gpbib.cs.ucl.ac.uk/gecco2008/docs/p1341.pdf
http___dx.doi.org_10.1145_1389095.1389354 http://dx.doi.org/10.1145/1389095.1389354
li:2021:AbdomRadiol Performance of automatic machine learning versus radiologists in the evaluation of endometrium on computed tomography
DanLi.html
RongHu.html
HuizhouLi.html
YeyuCai.html
PaulJZhang.html
JingWu.html
ChengzhangZhu.html
HarrisonXBai.html
http___dx.doi.org_10.1007_s00261-021-03210-9 http://dx.doi.org/10.1007/s00261-021-03210-9
Li:2022:IEEEAccess Improving Search-Based Automatic Program Repair With Neural Machine Translation
DongchengLi.html
WEricWong.html
MingyongJian.html
YiGeng.html
MatthewChau.html
http___dx.doi.org_10.1109_ACCESS.2022.3164780 http://dx.doi.org/10.1109/ACCESS.2022.3164780
Li:2016:ieeeASE A Hybrid Evolutionary Hyper-Heuristic Approach for Intercell Scheduling Considering Transportation Capacity
DongniLi.html
RongxinZhan.html
DanZheng.html
MiaoLi.html
IkouKaku.html
http___dx.doi.org_10.1109_TASE.2015.2470080 http://dx.doi.org/10.1109/TASE.2015.2470080
Li:2019:ASE Automatic Design of Intercell Scheduling Heuristics
DongniLi.html
RongxinZhan.html
ShaofengDu.html
XuhuiWu.html
ShuaiWang.html
http___dx.doi.org_10.1109_TASE.2019.2895369 http://dx.doi.org/10.1109/TASE.2019.2895369
Li:2018:SmartWorld An Efficient Ant Colony Programming Approach
DongruiLi.html
YongliangChen.html
http___dx.doi.org_10.1109_SmartWorld.2018.00249 http://dx.doi.org/10.1109/SmartWorld.2018.00249
DBLP:journals/tomacs/LiZ20 Dimensionally Aware Multi-Objective Genetic Programming for Automatic Crowd Behavior Modeling
DongruiLi.html
JinghuiZhong.html
https___doi.org_10.1145_3391407 https://doi.org/10.1145/3391407
http___dx.doi.org_10.1145_3391407 http://dx.doi.org/10.1145/3391407
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RASC200491 IMGP - A Novel Instruction Matrix based Genetic Programming
GangLi.html
Kwong-SakLeung.html
Kin-HongLee.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.136.3418 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.136.3418
http___citeseerx.ist.psu.edu_viewdoc_download_doi_10.1.1.136.3418.pdf http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.136.3418.pdf
eurogp:LiLL05 Evolve Schema Directly Using Instruction Matrix Based Genetic Programming
GangLi.html
Kin-HongLee.html
Kwong-SakLeung.html
http___dx.doi.org_10.1007_978-3-540-31989-4_24 http://dx.doi.org/10.1007/978-3-540-31989-4_24
http___dx.doi.org_10.1007_b107383 http://dx.doi.org/10.1007/b107383
conf/isica/LiLL07 Using Instruction Matrix Based Genetic Programming to Evolve Programs
GangLi.html
Kin-HongLee.html
Kwong-SakLeung.html
http___dx.doi.org_10.1007_978-3-540-74581-5_69 http://dx.doi.org/10.1007/978-3-540-74581-5_69
Li:2008:ieeeTSMCB Instruction-Matrix-Based Genetic Programming
GangLi.html
PhoenixJinfengWang.html
Kin-HongLee.html
Kwong-SakLeung.html
http___dx.doi.org_10.1109_TSMCB.2008.922054 http://dx.doi.org/10.1109/TSMCB.2008.922054
conf/swarm/LiZ10 Bottom-Up Tree Evaluation in Tree-Based Genetic Programming
GengLi.html
Xiao-JunZeng.html
http___dx.doi.org_10.1007_978-3-642-13495-1 http://dx.doi.org/10.1007/978-3-642-13495-1
http___dx.doi.org_10.1007_978-3-642-13495-1_63 http://dx.doi.org/10.1007/978-3-642-13495-1_63
Li:2011:GECCO Genetic programming with a norm-referenced fitness function
GengLi.html
Xiao-JunZeng.html
http___dx.doi.org_10.1145_2001576.2001755 http://dx.doi.org/10.1145/2001576.2001755
Geng.Li:thesis Tuning Genetic Programming Performance via Bloating Control and a Dynamic Fitness Function Approach
GengLi.html
https___www.escholar.manchester.ac.uk_api_datastream_publicationPid_uk-ac-man-scw_211199_datastreamId_FULL-TEXT.PDF https://www.escholar.manchester.ac.uk/api/datastream?publicationPid=uk-ac-man-scw:211199&datastreamId=FULL-TEXT.PDF
https___www.escholar.manchester.ac.uk_uk-ac-man-scw_211199 https://www.escholar.manchester.ac.uk/uk-ac-man-scw:211199
http___ethos.bl.uk_OrderDetails.do_did_58_uin_uk.bl.ethos.607007 http://ethos.bl.uk/OrderDetails.do?did=58&uin=uk.bl.ethos.607007
Li:2015:CEC Financial Fraud Detection by using Grammar-based Multi-objective Genetic Programming with ensemble learning
HaibingLi.html
ManLeungWong.html
http___dx.doi.org_10.1109_CEC.2015.7257014 http://dx.doi.org/10.1109/CEC.2015.7257014
Li:2021:mhfms Grammar-Based Multi-objective Genetic Programming with Token Competition and Its Applications in Financial Fraud Detection
HaibingLi.html
ManLeungWong.html
https___scholars.ln.edu.hk_en_publications_grammar-based-multi-objective-genetic-programming-with-token-comp https://scholars.ln.edu.hk/en/publications/grammar-based-multi-objective-genetic-programming-with-token-comp
http___dx.doi.org_10.1007_978-3-030-79553-5_11 http://dx.doi.org/10.1007/978-3-030-79553-5_11
journals/jise/LiLZH12 A Non-Parametric Software Reliability Modeling Approach by Using Gene Expression Programming
HaifengLi.html
MinyanLu.html
MinZeng.html
Bai-QiaoHuang.html
http___www.iis.sinica.edu.tw_page_jise_2012_201211_10.html http://www.iis.sinica.edu.tw/page/jise/2012/201211_10.html
Li:2015:Neurocomputing Co-evolution framework of swarm self-assembly robots
HaiyuanLi.html
HongxingWei.html
JiangyangXiao.html
TianmiaoWang.html
http___dx.doi.org_10.1016_j.neucom.2012.10.047 http://dx.doi.org/10.1016/j.neucom.2012.10.047
http___www.sciencedirect.com_science_article_pii_S0925231214009394 http://www.sciencedirect.com/science/article/pii/S0925231214009394
Li:2017:ieeeTSMC Bi-Level Coordinated Configuration Optimization for Product-Service System Modular Design
HaoLi.html
YangjianJi.html
LiangChen.html
RogerJianxinJiao.html
http___dx.doi.org_10.1109_TSMC.2015.2507407 http://dx.doi.org/10.1109/TSMC.2015.2507407
LI:2022:watres Implementing machine learning to optimize the cost-benefit of urban water clarifier geometrics
HaochenLi.html
JohnJSansalone.html
http___dx.doi.org_10.1016_j.watres.2022.118685 http://dx.doi.org/10.1016/j.watres.2022.118685
https___www.sciencedirect.com_science_article_pii_S0043135422006388 https://www.sciencedirect.com/science/article/pii/S0043135422006388
Li:2009:APPEEC Application of Genetic Programming to Identifying Water-Level and Storage-Capacity Curve of the Xingxingshao Reservoir
HongyanLi.html
ShanJiang.html
XinhuaBao.html
http___dx.doi.org_10.1109_APPEEC.2009.4918182 http://dx.doi.org/10.1109/APPEEC.2009.4918182
Li:2018:ICIC Multicellular Gene Expression Programming-Based Hybrid Model for Precipitation Prediction Coupled with EMD
HongyanLi.html
Yu-zhongPeng.html
ChuyanDeng.html
YonghuaPan.html
DaoqingGong.html
HaoZhang.html
http___dx.doi.org_10.1007_978-3-319-95930-6_20 http://dx.doi.org/10.1007/978-3-319-95930-6_20
journals/corr/abs-1906-08852 A Hybrid Precipitation Prediction Method based on Multicellular Gene Expression Programming
HongyanLi.html
Yu-zhongPeng.html
ChuyanDeng.html
YonghuaPan.html
DaoqingGong.html
HaoZhang.html
http___arxiv.org_abs_1906.08852 http://arxiv.org/abs/1906.08852
LI:2020:swarm Multi-objective self-organizing optimization for constrained sparse array synthesis
HaoranLi.html
FazhiHe.html
YilinChen.html
JinkunLuo.html
http___dx.doi.org_10.1016_j.swevo.2020.100743 http://dx.doi.org/10.1016/j.swevo.2020.100743
http___www.sciencedirect.com_science_article_pii_S2210650220303965 http://www.sciencedirect.com/science/article/pii/S2210650220303965
LI:2022:jreng Multi-gene genetic programming extension of AASHTO M-E for design of low-volume concrete pavements
HaoranLi.html
LevKhazanovich.html
http___dx.doi.org_10.1016_j.jreng.2022.08.002 http://dx.doi.org/10.1016/j.jreng.2022.08.002
https___www.sciencedirect.com_science_article_pii_S2097049822000464 https://www.sciencedirect.com/science/article/pii/S2097049822000464
Li:2009:CiSE Research on Two Stage Evolutionary Modeling Based on Gene Expression Programming
HuangLi.html
LixinDing.html
http___dx.doi.org_10.1109_CISE.2009.5365685 http://dx.doi.org/10.1109/CISE.2009.5365685
Li:2022:SEAMS Learning Self-adaptations for IoT Networks: A Genetic Programming Approach
JiaLi.html
ShivaNejati.html
MehrdadSabetzadeh.html
http___dx.doi.org_10.1145_3524844.3528053 http://dx.doi.org/10.1145/3524844.3528053
Li:2023:SSCI Prediction of Flight Arrival Delay Time Using U.S. Bureau of Transportation Statistics
JiaruiLi.html
RanJi.html
Cheng'aoLi.html
XiaoyingYang.html
JiayiLi.html
YiranLi.html
XihanXiong.html
YutongFang.html
ShushengDing.html
TianxiangCui.html
http___dx.doi.org_10.1109_SSCI52147.2023.10371912 http://dx.doi.org/10.1109/SSCI52147.2023.10371912
FLAIRS99-019 Linear programming
JinLi.html
EdwardPKTsang.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.538.6697 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.538.6697
https___www.aaai.org_Papers_FLAIRS_1999_FLAIRS99-019.pdf https://www.aaai.org/Papers/FLAIRS/1999/FLAIRS99-019.pdf
li:1999:IDMUFACS Investment Decision Making Using FGP: A Case Study
JinLi.html
EdwardPKTsang.html
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http___dx.doi.org_10.1109_CEC.1999.782584 http://dx.doi.org/10.1109/CEC.1999.782584
li:1999:FAGPTFP FGP: A Genetic Programming Tool for Financial Prediction
JinLi.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_li_1999_FAGPTFP.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/li_1999_FAGPTFP.pdf
JinLi:2000:CEF Reducing Failures in Investment Recommendations using Genetic Programming
JinLi.html
EdwardPKTsang.html
http___www.cs.bham.ac.uk__jxl_cercialink_web_publication_ReducingFailures.pdf http://www.cs.bham.ac.uk/~jxl/cercialink/web/publication/ReducingFailures.pdf
http___cswww.essex.ac.uk_CSP_finance_papers_LiTsa-LowRF-Cef2000.ps http://cswww.essex.ac.uk/CSP/finance/papers/LiTsa-LowRF-Cef2000.ps
http___ideas.repec.org_p_sce_scecf0_332.html http://ideas.repec.org/p/sce/scecf0/332.html
JinLi:thesis FGP: A genetic programming based tool for financial forecasting
JinLi.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.170.5643.pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.170.5643.pdf
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.170.5643 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.170.5643
http___ethos.bl.uk_OrderDetails.do_did_20_uin_uk.bl.ethos.343550 http://ethos.bl.uk/OrderDetails.do?did=20&uin=uk.bl.ethos.343550
Li:PPSN:2004a An Evolutionary Approach to Modeling Radial Brightness Distributions in Elliptical Galaxies
JinLi.html
XinYao.html
ColinMFrayn.html
HabibGKhosroshahi.html
SomakRaychaudhury.html
http___www.cs.bham.ac.uk__xin_papers_Li_ppsn314.pdf http://www.cs.bham.ac.uk/~xin/papers/Li_ppsn314.pdf
https___rdcu.be_dc0ix https://rdcu.be/dc0ix
http___dx.doi.org_10.1007_978-3-540-30217-9_60 http://dx.doi.org/10.1007/978-3-540-30217-9_60
http___dx.doi.org_10.1007_b100601 http://dx.doi.org/10.1007/b100601
li:2005:CECj Cost-Sensitive Classification with Genetic Programming
JinLi.html
XiaoliLi.html
XinYao.html
http___www.cs.bham.ac.uk__xin_papers_LiLiYaoCEC05.pdf http://www.cs.bham.ac.uk/~xin/papers/LiLiYaoCEC05.pdf
http___dx.doi.org_10.1109_CEC.2005.1554956 http://dx.doi.org/10.1109/CEC.2005.1554956
Li:2006:CEC Enhancing Financial Decision Making Using Multi-Objective Financial Genetic Programming
JinLi.html
SopeTaiwo.html
http___www.cs.bham.ac.uk__jxl_cercialink_web_publication_MOFGP-JinSope.pdf http://www.cs.bham.ac.uk/~jxl/cercialink/web/publication/MOFGP-JinSope.pdf
http___dx.doi.org_10.1109_CEC.2006.1688575 http://dx.doi.org/10.1109/CEC.2006.1688575
Jin_GP_Wavelet Genetic Programming with Wavelet-Based Indicators for Financial Forecasting
JinLi.html
ZhuShi.html
XiaoliLi.html
http___www.cs.bham.ac.uk__jxl_cercialink_web_publication_Jin_GP_Wavelet.pdf http://www.cs.bham.ac.uk/~jxl/cercialink/web/publication/Jin_GP_Wavelet.pdf
http___tim.sagepub.com_content_vol28_issue3_ http://tim.sagepub.com/content/vol28/issue3/
http___dx.doi.org_10.1191_0142331206tim177oa http://dx.doi.org/10.1191/0142331206tim177oa
Li:2021:A Multi-Granularity Genetic Programming Optimization Method for Satellite System Topology and Parameter
JinhuiLi2.html
YunfengDong.html
http___dx.doi.org_10.1109_ACCESS.2021.3091307 http://dx.doi.org/10.1109/ACCESS.2021.3091307
competition_level_code_generation_with_alphacode Competition-Level Code Generation with AlphaCode
YujiaLi.html
DavidChoi.html
JunyoungChung.html
NateKushman.html
JulianSchrittwieser.html
RemiLeblond.html
TomEccles.html
JamesKeeling.html
FelixGimeno.html
AgustinDalLago.html
ThomasHubert.html
PeterChoy.html
CypriendeMassond'Autume.html
IgorBabuschkin.html
XinyunChen.html
Po-SenHuang.html
JohannesWelbl.html
SvenGowal.html
AlexeyCherepanov.html
JamesMolloy.html
DanielJMankowitz.html
EsmeSutherlandRobson.html
PushmeetKohli.html
NandodeFreitas.html
KorayKavukcuoglu.html
OriolVinyals.html
https___storage.googleapis.com_deepmind-media_AlphaCode_competition_level_code_generation_with_alphacode.pdf https://storage.googleapis.com/deepmind-media/AlphaCode/competition_level_code_generation_with_alphacode.pdf
https___arxiv.org_abs_2203.07814 https://arxiv.org/abs/2203.07814
https___github.com_deepmind_code_contests https://github.com/deepmind/code_contests
Li:2007:RCIM Interweaving genetic programming and genetic algorithm for structural and parametric optimization in adaptive platform product customization
LLi.html
GeorgeQHuang.html
StephenTNewman.html
http___dx.doi.org_10.1016_j.rcim.2007.02.014 http://dx.doi.org/10.1016/j.rcim.2007.02.014
GA-SVM_optgenesubset A robust hybrid between genetic algorithm and support vector machine for extracting an optimal feature gene subset
LiLi.html
WeiJiang.html
XiaLi.html
KathyLMoser.html
ZhengGuo.html
LeiDu.html
QiujuWang.html
EricJTopol.html
QingWang.html
ShaoqiRao.html
http___dx.doi.org_10.1016_j.ygeno.2004.09.007 http://dx.doi.org/10.1016/j.ygeno.2004.09.007
li:2014:WRM Identifying Explicit Formulation of Operating Rules for Multi-Reservoir Systems Using Genetic Programming
LipingLi.html
PanLiu.html
DavidERheinheimer.html
ChaoDeng.html
YanlaiZhou.html
http___link.springer.com_article_10.1007_s11269-014-0563-9 http://link.springer.com/article/10.1007/s11269-014-0563-9
http___dx.doi.org_10.1007_s11269-014-0563-9 http://dx.doi.org/10.1007/s11269-014-0563-9
li:2005:CTHPCA An Application of Genetic Programming to Economic Forecasting
KangshunLi.html
Zhangxin_John_Chen.html
YuanxiangLi.html
AiminZhou.html
http___link.springer.com_chapter_10.1007_3-540-27912-1_7 http://link.springer.com/chapter/10.1007/3-540-27912-1_7
http___dx.doi.org_10.1007_3-540-27912-1_7 http://dx.doi.org/10.1007/3-540-27912-1_7
Li6:2008:cec Automatic Modeling of a Novel Gene Expression Programming Based on Statistical Analysis and Critical Velocity
KangshunLi.html
WeifengPan.html
WenshengZhang.html
Zhangxin_John_Chen.html
http___dx.doi.org_10.1109_CEC.2008.4630794 http://dx.doi.org/10.1109/CEC.2008.4630794
Li8:2008:cec A New Method of Evolving Digital Circuit Based on Gene Expression Programming
KangshunLi.html
JiushengLiang.html
WenshengZhang.html
FengWang.html
http___dx.doi.org_10.1109_CEC.2008.4630903 http://dx.doi.org/10.1109/CEC.2008.4630903
journals/swevo/LiCLHX18 Improved gene expression programming to solve the inverse problem for ordinary differential equations
KangshunLi.html
YanChen.html
WeiLi.html
JunHe.html
YuXue.html
http___dx.doi.org_10.1016_j.swevo.2017.07.005 http://dx.doi.org/10.1016/j.swevo.2017.07.005
LI:2019:swarm A novel Error-Correcting Output Codes algorithm based on genetic programming
Ke-SenLi.html
Han-RuiWang.html
Kun-HongLiu.html
http___dx.doi.org_10.1016_j.swevo.2019.100564 http://dx.doi.org/10.1016/j.swevo.2019.100564
http___www.sciencedirect.com_science_article_pii_S2210650219302044 http://www.sciencedirect.com/science/article/pii/S2210650219302044
LiangminLi:2004:ZRB Fault Detection Based on Genetic Programming and Support Vector Machines
LiangminLi.html
LiangshengQu.html
http___en.cnki.com.cn_Article_en_CJFDTotal-XAJT200403005.htm http://en.cnki.com.cn/Article_en/CJFDTotal-XAJT200403005.htm
LI:2021:ML Mechanical strength estimation of ultrafine-grained magnesium implant by neural-based predictive machine learning
MaohuaLi.html
MohsenMesbah.html
AlirezaFallahpour.html
BahmanNasiri-Tabrizi.html
BaoyuLiu.html
http___dx.doi.org_10.1016_j.matlet.2021.130627 http://dx.doi.org/10.1016/j.matlet.2021.130627
https___www.sciencedirect.com_science_article_pii_S0167577X21013240 https://www.sciencedirect.com/science/article/pii/S0167577X21013240
Li:2014:CASE An intercell scheduling approach considering transportation capacity
MiaoLi.html
HongZheng.html
DongniLi.html
XianwenMeng.html
http___dx.doi.org_10.1109_CoASE.2014.6899387 http://dx.doi.org/10.1109/CoASE.2014.6899387
LI:2019:SPAWDA Application of Multigene Genetic Programming for Estimating Elastic Modulus of Reservoir Rocks
NuoLi.html
HaoChen.html
Jian-qiangHan.html
http___dx.doi.org_10.1109_SPAWDA.2019.8681879 http://dx.doi.org/10.1109/SPAWDA.2019.8681879
Li:2009:ieeeIC-BNMT Learning to rank for web image retrieval based on genetic programming
PijiLi.html
JunMa.html
http___dx.doi.org_10.1109_ICBNMT.2009.5348465 http://dx.doi.org/10.1109/ICBNMT.2009.5348465
Li:2004:ICPR Semantic feature extraction using genetic programming in image retrieval
QingyongLi.html
HongHu.html
ZhongzhiShi.html
http___dx.doi.org_10.1109_ICPR.2004.1334248 http://dx.doi.org/10.1109/ICPR.2004.1334248
Li:2009:cec Dynamic Split-Point Selection Method for Decision Tree Evolved by Gene Expression Programming
QuLi.html
MinYao.html
WeihongWang.html
XiaohongCheng.html
http___dx.doi.org_10.1109_CEC.2009.4983018 http://dx.doi.org/10.1109/CEC.2009.4983018
Li:2009:CIRA Feature generation in fault diagnosis based on immune programming
MaolinLi.html
LinLiang.html
SunanWang.html
XiaohuLi.html
http___dx.doi.org_10.1109_CIRA.2009.5423210 http://dx.doi.org/10.1109/CIRA.2009.5423210
Li:2009:ICACC An Algorithm of Fertilization Model Fitting Based On Mixed Intelligent Computation
MiaoLi.html
JianZhang.html
Ze-linHu.html
YuanYuan1.html
Lu-jiuLi.html
http___dx.doi.org_10.1109_ICACC.2009.153 http://dx.doi.org/10.1109/ICACC.2009.153
Li:2005:MULTIMEDIA Coevolutionary feature synthesized EM algorithm for image retrieval
RuiLi.html
BirBhanu.html
AnleiDong.html
http___doi.acm.org_10.1145_1101149.1101304 http://doi.acm.org/10.1145/1101149.1101304
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.654.3189 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.654.3189
http___dx.doi.org_10.1145_1101149.1101304 http://dx.doi.org/10.1145/1101149.1101304
Li:2008:TOMM Feature Synthesized EM Algorithm for Image Retrieval
RuiLi.html
BirBhanu.html
AnleiDong.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.654.3189 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.654.3189
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Li:2017:QMQM Approximate Quantum Adders with Genetic Algorithms: An IBM Quantum Experience
RuiLi.html
UnaiAlvarez-Rodriguez.html
LucasLamata.html
EnriqueSolano.html
https___arxiv.org_pdf_1611.07851 https://arxiv.org/pdf/1611.07851
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http___dx.doi.org_10.1515_qmetro-2017-0001 http://dx.doi.org/10.1515/qmetro-2017-0001
Li:2017:AAAF Machine learning control of the turbulent wake past 3D bluff body
RuiyingLi.html
BerndRNoack.html
LaurentCordier.html
JacquesBoree.html
FabienHarambat.html
https___hal.archives-ouvertes.fr_hal-01856273 https://hal.archives-ouvertes.fr/hal-01856273
oai:arXiv.org:1609.02505 Drag reduction of a car model by linear genetic programming control
RuiyingLi.html
BerndRNoack.html
LaurentCordier.html
JacquesBoree.html
FabienHarambat.html
EurikaKaiser.html
ThomasDuriez.html
http___arxiv.org_abs_1609.02505 http://arxiv.org/abs/1609.02505
Li:2017:IFAC Machine learning control for drag reduction of a car model in experiment
RuiyingLi.html
BerndRNoack.html
LaurentCordier.html
JacquesBoree.html
FabienHarambat.html
https___hal.archives-ouvertes.fr_hal-01856274 https://hal.archives-ouvertes.fr/hal-01856274
http___www.ifac2017.org_sites_www.ifac2017.org_files_u88_IFAC17_ContentListWeb_4.html http://www.ifac2017.org/sites/www.ifac2017.org/files/u88/IFAC17_ContentListWeb_4.html
Li:2017:expfluids Drag reduction of a car model by linear genetic programming control
RuiyingLi.html
BerndRNoack.html
LaurentCordier.html
JacquesBoree.html
FabienHarambat.html
http___dx.doi.org_10.1007_s00348-017-2382-2 http://dx.doi.org/10.1007/s00348-017-2382-2
2017ESMA0014_li Aerodynamic Drag Reduction of a Square-Back Car Model Using Linear Genetic Programming and Physic-Based Control
RuiyingLi.html
https___tel.archives-ouvertes.fr_tel-01685306 https://tel.archives-ouvertes.fr/tel-01685306
https___tel.archives-ouvertes.fr_tel-01685306_document https://tel.archives-ouvertes.fr/tel-01685306/document
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http___www.theses.fr_2017ESMA0014 http://www.theses.fr/2017ESMA0014
Li:2018:AM Linear genetic programming control for strongly nonlinear dynamics with frequency crosstalk
RuiyingLi.html
BerndRNoack.html
LaurentCordier.html
JacquesBoree.html
https___hal.archives-ouvertes.fr_hal-02290373 https://hal.archives-ouvertes.fr/hal-02290373
http___dx.doi.org_10.24423_aom.3000 http://dx.doi.org/10.24423/aom.3000
Li:2013:GPTP Evaluation of Parameter Contribution to Neural Network Size and Fitness in ATHENA for Genetic Analysis
RuowangLi.html
EmilyRoseHolzinger.html
ScottMDudek.html
MarylynDRitchie.html
http___dx.doi.org_10.1007_978-1-4939-0375-7_12 http://dx.doi.org/10.1007/978-1-4939-0375-7_12
Li:2016:bdm Identification of genetic interaction networks via an evolutionary algorithm evolved Bayesian network
RuowangLi.html
ScottMDudek.html
DokyoonKim.html
MollyAHall.html
YukiBradford.html
PeggyLPeissig.html
MurrayHBrilliant.html
JamesGLinneman.html
CatherineAMcCarty.html
LeBao.html
MarylynDRitchie.html
http___dx.doi.org_10.1186_s13040-016-0094-4 http://dx.doi.org/10.1186/s13040-016-0094-4
https___doi.org_10.1186_s13040-016-0094-4 https://doi.org/10.1186/s13040-016-0094-4
http___www.biodatamining.org_content_9_1_18 http://www.biodatamining.org/content/9/1/18
Li:2006:iccis Evolving Vibration Absorbers Based on Genetic Programming and Bond Graphs
ShaoboLi.html
JianjunHu.html
http___dx.doi.org_10.1109_ICCIAS.2006.294122 http://dx.doi.org/10.1109/ICCIAS.2006.294122
Li:2008:WiCOM Automatic Design Method of Dynamic Systems Based on Hungarian Algorithm and Genetic Programming
ShaoboLi.html
GuanciYang.html
QingshengXie.html
http___dx.doi.org_10.1109_WiCom.2008.552 http://dx.doi.org/10.1109/WiCom.2008.552
Li:2008:IITAW Synthesis of Analog Filter Based on Genetic Program and Network Topology Transformation
ShaoboLi.html
JianningQiang.html
JuanjuanWang.html
GaoJie.html
http___dx.doi.org_10.1109_IITA.Workshops.2008.270 http://dx.doi.org/10.1109/IITA.Workshops.2008.270
Li:2009:book Genetic Programming and Creative Design of Mechatronic Systems
ShaoboLi.html
JianjunHu.html
http___product.dangdang.com_product.aspx_product_id_20470877 http://product.dangdang.com/product.aspx?product_id=20470877
Li:2009:ISCID Optimization of 3G Wireless Network Using Genetic Programming
ShaoboLi.html
WeijiePan.html
GuanciYang.html
LinnaChen.html
http___dx.doi.org_10.1109_ISCID.2009.181 http://dx.doi.org/10.1109/ISCID.2009.181
li:2018:Algorithms A Novel Evolutionary Algorithm for Designing Robust Analog Filters
ShaoboLi.html
WangZou.html
JianjunHu.html
https___www.mdpi.com_1999-4893_11_3_26 https://www.mdpi.com/1999-4893/11/3/26
http___dx.doi.org_10.3390_a11030026 http://dx.doi.org/10.3390/a11030026
Li:2011:ICICTA Generating New Features Using Genetic Programming to Detect Link Spam
ShengenLi.html
XiaofeiNiu.html
PeiqiLi.html
LinWang.html
http___dx.doi.org_10.1109_ICICTA.2011.41 http://dx.doi.org/10.1109/ICICTA.2011.41
LI:2022:JH Daily suspended sediment forecast by an integrated dynamic neural network
ShichengLi.html
QianchengXie.html
JamesYang.html
http___dx.doi.org_10.1016_j.jhydrol.2021.127258 http://dx.doi.org/10.1016/j.jhydrol.2021.127258
https___www.sciencedirect.com_science_article_pii_S0022169421013081 https://www.sciencedirect.com/science/article/pii/S0022169421013081
Shuai_Li:thesis Learning to Rank with Click Models: From Online Algorithms to Offline Evaluations
ShuaiLi2.html
https___shuaili8.github.io_thesis_slides.pdf https://shuaili8.github.io/thesis_slides.pdf
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Li:2010:ICMA Satellite attitude control through evolving a neural network
Shu-guangLi.html
JianpingYuan.html
JianjunLuo.html
WeihuaMa.html
http___dx.doi.org_10.1109_ICMA.2010.5588493 http://dx.doi.org/10.1109/ICMA.2010.5588493
Li:2010:BioRob The binary-weights neural network for robot control
Shu-guangLi.html
JianpingYuan.html
XiaokuiYue.html
JianjunLuo.html
http___dx.doi.org_10.1109_BIOROB.2010.5626893 http://dx.doi.org/10.1109/BIOROB.2010.5626893
Li:2022:GI Genetic Improvement in the Shackleton Framework for Optimizing LLVM Pass Sequences
ShuyueStellaLi.html
HannahPeeler.html
AndrewNSloss.html
KennethNReid.html
WolfgangBanzhaf.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_gecco2022_gi2022_papers_Li_2022_GI.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/gecco2022/gi2022/papers/Li_2022_GI.pdf
https___arxiv.org_abs_2204.13261 https://arxiv.org/abs/2204.13261
http___dx.doi.org_10.1145_3520304.3534000 http://dx.doi.org/10.1145/3520304.3534000
http___geneticimprovementofsoftware.com_slides_gi2022gecco_li-genetic-improvement-in-the-shackleton-gi-gecco-22.pdf http://geneticimprovementofsoftware.com/slides/gi2022gecco/li-genetic-improvement-in-the-shackleton-gi-gecco-22.pdf
https___github.com_ARM-software_Shackleton-Framework https://github.com/ARM-software/Shackleton-Framework
https___www.youtube.com_watch_v_20l_d3UuDPU_list_PLI8fiFpB7BoIHgl5CsdtjfWvHlE5N6pje_index_3 https://www.youtube.com/watch?v=20l_d3UuDPU&list=PLI8fiFpB7BoIHgl5CsdtjfWvHlE5N6pje&index=3
Li:2008:ICNC GEP-NFM: Nested Function Mining Based on Gene Expression Programming
TaiyongLi.html
ChangjieTang.html
JiangWu.html
XuzhongWei.html
ChuanLi.html
ShuchengDai.html
JunZhu.html
http___dx.doi.org_10.1109_ICNC.2008.640 http://dx.doi.org/10.1109/ICNC.2008.640
TaiyongLi:2009:ICNC Gene Expression Programming without Reduplicate Individuals
TaiyongLi.html
ChangjieTang.html
TingHe.html
JiangWu.html
WenbingQin.html
http___dx.doi.org_10.1109_ICNC.2009.406 http://dx.doi.org/10.1109/ICNC.2009.406
Li:2009:ICCSIT Function mining based on gene Expression Programming and Particle Swarm Optimization
TaiyongLi.html
TiangangDong.html
JiangWu.html
TingHe.html
http___dx.doi.org_10.1109_ICCSIT.2009.5234621 http://dx.doi.org/10.1109/ICCSIT.2009.5234621
Li:2006:JIM Data Mining using Genetic Programming for Construction of a Semiconductor Manufacturing Yield Rate Prediction System
Te-ShengLi.html
Cheng-LungHuang.html
Zong-YuanWu.html
http___dx.doi.org_10.1007_s10845-005-0008-7 http://dx.doi.org/10.1007/s10845-005-0008-7
Li:2007:IJRMMS Fuzzy genetic programming method for analysis of ground movements due to underground mining
Wen-XiuLi.html
Lan-FangDai.html
Xiao-BingHou.html
WenLei.html
http___dx.doi.org_10.1016_j.ijrmms.2007.02.003 http://dx.doi.org/10.1016/j.ijrmms.2007.02.003
Li:2012:TUST SMT-GP method of prediction for ground subsidence due to tunneling in mountainous areas
Wen-XiuLi.html
Ji-FeiLi.html
QiWang.html
YinXia.html
Zhan-HuaJi.html
http___dx.doi.org_10.1016_j.tust.2012.06.012 http://dx.doi.org/10.1016/j.tust.2012.06.012
http___www.sciencedirect.com_science_article_pii_S0886779812001228 http://www.sciencedirect.com/science/article/pii/S0886779812001228
Li:2022:DSIT Programming Course Student Performance Prediction based on Feature Construction
XiaobinLi.html
ChunliXie.html
ShuqinWang.html
XiehuaZhang.html
http___dx.doi.org_10.1109_DSIT55514.2022.9943955 http://dx.doi.org/10.1109/DSIT55514.2022.9943955
DBLP:phd/de/Li2003 Dynamische Kompensation von nichtlinearen Verzerrungen mit genetischer Programmierung
XuhuiLi.html
http___dblp.org_rec_bib_phd_de_Li2003 http://dblp.org/rec/bib/phd/de/Li2003
http___ub.unibw-muenchen.de_dissertationen_ediss_li-xuhui_inhalt.pdf http://ub.unibw-muenchen.de/dissertationen/ediss/li-xuhui/inhalt.pdf
https___opac.unibw.de_search_bvnr_BV021974600 https://opac.unibw.de/search?bvnr=BV021974600
http___www.unibw.de_unibib_medienserver_node_id_85278 http://www.unibw.de/unibib/medienserver/node?id=85278
https___www.amazon.de_Kompensation-nichtlinearen-Verzerrungen-genetischer-Programmierung_dp_3832219226 https://www.amazon.de/Kompensation-nichtlinearen-Verzerrungen-genetischer-Programmierung/dp/3832219226
Li16:2008:cec Two Improvements in Genetic Programming for Image Classification
Ya-MinLi.html
JinruMa.html
QiuxiaZhao.html
http___dx.doi.org_10.1109_CEC.2008.4631132 http://dx.doi.org/10.1109/CEC.2008.4631132
Li:2008:ICMLC On the control of the growth of program sizes in the course of classifier evolution in image classification in genetic programming
Ya-MinLi.html
JinruMa.html
Li-JuanCui.html
QiuxiaZhao.html
http___dx.doi.org_10.1109_ICMLC.2008.4620546 http://dx.doi.org/10.1109/ICMLC.2008.4620546
Li:2015:EITT A Novel Approximation Algorithm Based on Genetic Programming in Digital Learning Environment
YaqinLi.html
CaoYuan.html
CongZhang.html
ShigaoLi.html
KaiqiongSun.html
XuanWang.html
http___dx.doi.org_10.1109_EITT.2015.13 http://dx.doi.org/10.1109/EITT.2015.13
Li2003922 An automatic approach to design water utilization network
Yu-GangLi.html
FangyuHan.html
ShiqingZheng.html
ShuguangXiang.html
XinshunTan.html
http___dx.doi.org_10.1016_S1570-7946_03_80425-X http://dx.doi.org/10.1016/S1570-7946(03)80425-X
http___www.sciencedirect.com_science_article_B8G5G-4P40D5S-1C_2_0893b2e39b14ef5b2d394d10c926f0b0 http://www.sciencedirect.com/science/article/B8G5G-4P40D5S-1C/2/0893b2e39b14ef5b2d394d10c926f0b0
LiCie04 Using Loops in Genetic Programming for a Two Class Binary Image Classification Problem
XiangLi.html
VictorCiesielski.html
http___dx.doi.org_10.1007_b104336 http://dx.doi.org/10.1007/b104336
LiCieWork04 Analysis of genetic programming runs
VictorCiesielski.html
XiangLi.html
http___goanna.cs.rmit.edu.au__xiali_pub_ai04.vc.pdf http://goanna.cs.rmit.edu.au/~xiali/pub/ai04.vc.pdf
li:2005:CECx An Analysis of Explicit Loops in Genetic Programming
XiangLi.html
VictorCiesielski.html
http___dx.doi.org_10.1109_CEC.2005.1555010 http://dx.doi.org/10.1109/CEC.2005.1555010
XiangLi:thesis Utilising Restricted For-Loops in Genetic Programming
XiangLi.html
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https___researchrepository.rmit.edu.au_discovery_fulldisplay_docid_alma9921861226701341_context_L_vid_61RMIT_INST_ResearchRepository_lang_en_search_scope_ResearchETD_adaptor_Local_20Search_20Engine_tab_Research_query_any_contains_An_20Analysis_20of_20Explicit_20Loops_20in_20Genetic_20Programming_offset_0 https://researchrepository.rmit.edu.au/discovery/fulldisplay?docid=alma9921861226701341&context=L&vid=61RMIT_INST:ResearchRepository&lang=en&search_scope=ResearchETD&adaptor=Local%20Search%20Engine&tab=Research&query=any,contains,An%20Analysis%20of%20Explicit%20Loops%20in%20Genetic%20Programming&offset=0
http___researchbank.rmit.edu.au_view_rmit_6317 http://researchbank.rmit.edu.au/view/rmit:6317
Li:2009:ICCAS-SICE Genetic Network Programming with Estimation of Distribution Algorithms and its application to association rule mining for traffic prediction
XiannengLi.html
ShingoMabu.html
HuiyuZhou.html
KaoruShimada.html
KotaroHirasawa.html
http___ieeexplore.ieee.org_xpl_articleDetails.jsp_tp__arnumber_5334374 http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=5334374
Li:2010:cec Genetic Network Programming with Estimation of Distribution Algorithms for class association rule mining in traffic prediction
XiannengLi.html
ShingoMabu.html
HuiyuZhou.html
KaoruShimada.html
KotaroHirasawa.html
http___dx.doi.org_10.1109_CEC.2010.5586456 http://dx.doi.org/10.1109/CEC.2010.5586456
Li:2010:TJSEC Towards the maintenance of population diversity: A hybrid genetic network programming
XiannengLi.html
ShingoMabu.html
KotaroHirasawa.html
http___www.jpnsec.org_online_journal_1_1_1_89.pdf http://www.jpnsec.org/online_journal/1_1/1_89.pdf
Li:2011:ANEoDAUGCRaRL A Novel Estimation of Distribution Algorithm Using Graph-based Chromosome Representation and Reinforcement Learning
XiannengLi.html
BingLi.html
ShingoMabu.html
KotaroHirasawa.html
http___dx.doi.org_10.1109_CEC.2011.5949595 http://dx.doi.org/10.1109/CEC.2011.5949595
XiannengLi:2011:GECCO Use of infeasible individuals in probabilistic model building genetic network programming
XiannengLi.html
ShingoMabu.html
KotaroHirasawa.html
http___dx.doi.org_10.1145_2001576.2001659 http://dx.doi.org/10.1145/2001576.2001659
Li:2012:CECc A Continuous Estimation of Distribution Algorithm by Evolving Graph Structures Using Reinforcement Learning
XiannengLi.html
BingLi.html
ShingoMabu.html
KotaroHirasawa.html
http___dx.doi.org_10.1109_CEC.2012.6256481 http://dx.doi.org/10.1109/CEC.2012.6256481
XiannengLi:thesis Study on Probabilistic Model Building Genetic Network Programming
XiannengLi.html
http___hdl.handle.net_2065_40062 http://hdl.handle.net/2065/40062
http___dspace.wul.waseda.ac.jp_dspace_bitstream_2065_40062_1_Honbun-6149.pdf http://dspace.wul.waseda.ac.jp/dspace/bitstream/2065/40062/1/Honbun-6149.pdf
http___dspace.wul.waseda.ac.jp_dspace_bitstream_2065_40062_2_Shinsa-6149.pdf http://dspace.wul.waseda.ac.jp/dspace/bitstream/2065/40062/2/Shinsa-6149.pdf
http___dspace.wul.waseda.ac.jp_dspace_bitstream_2065_40062_3_Gaiyo-6149.pdf http://dspace.wul.waseda.ac.jp/dspace/bitstream/2065/40062/3/Gaiyo-6149.pdf
Li:2013:TEEE An extended probabilistic model building genetic network programming using both of good and bad individuals
XiannengLi.html
ShingoMabu.html
KotaroHirasawa.html
http___dx.doi.org_10.1002_tee.21864 http://dx.doi.org/10.1002/tee.21864
Li:2013:GECCOcompb Extended rule-based genetic network programming
XiannengLi.html
KotaroHirasawa.html
http___doi.acm.org_10.1145_2464576.2464655 http://doi.acm.org/10.1145/2464576.2464655
http___dx.doi.org_10.1145_2464576.2464655 http://dx.doi.org/10.1145/2464576.2464655
Li:2013:ieeeSMC A Learning Classifier System Based on Genetic Network Programming
XiannengLi.html
KotaroHirasawa.html
http___dx.doi.org_10.1109_SMC.2013.229 http://dx.doi.org/10.1109/SMC.2013.229
XiannengLi:book Study on Probabilistic Model Building Genetic Network Programming
XiannengLi.html
http___iss.ndl.go.jp_books_R100000002-I025080437-00 http://iss.ndl.go.jp/books/R100000002-I025080437-00
Li:2013:ICONIP Genetic Network Programming with Simplified Genetic Operators
XiannengLi.html
WenHe.html
KotaroHirasawa.html
http___link.springer.com_chapter_10.1007_978-3-642-42042-9_7 http://link.springer.com/chapter/10.1007/978-3-642-42042-9_7
http___dx.doi.org_10.1007_978-3-642-42042-9_7 http://dx.doi.org/10.1007/978-3-642-42042-9_7
Li:2014:ieeeTEC A Novel Graph-Based Estimation of the Distribution Algorithm and its Extension Using Reinforcement Learning
XiannengLi.html
ShingoMabu.html
KotaroHirasawa.html
http___dx.doi.org_10.1109_TEVC.2013.2238240 http://dx.doi.org/10.1109/TEVC.2013.2238240
Li:2014:CECc Creating Stock Trading Rules Using Graph-Based Estimation of Distribution Algorithm
XiannengLi.html
WenHe.html
KotaroHirasawa.html
http___dx.doi.org_10.1109_CEC.2014.6900421 http://dx.doi.org/10.1109/CEC.2014.6900421
Li:2014:CECd Learning and Evolution of Genetic Network Programming with Knowledge Transfer
XiannengLi.html
WenHe.html
KotaroHirasawa.html
http___dx.doi.org_10.1109_CEC.2014.6900315 http://dx.doi.org/10.1109/CEC.2014.6900315
Li:2014:CECk Adaptive Genetic Network Programming
XiannengLi.html
WenHe.html
KotaroHirasawa.html
http___dx.doi.org_10.1109_CEC.2014.6900290 http://dx.doi.org/10.1109/CEC.2014.6900290
Li:2014:ICISDA Evolving directed graphs with artificial bee colony algorithm
XiannengLi.html
GuangfeiYang.html
KotaroHirasawa.html
http___dx.doi.org_10.1109_ISDA.2014.7066282 http://dx.doi.org/10.1109/ISDA.2014.7066282
Li:2015:ASC Continuous probabilistic model building genetic network programming using reinforcement learning
XiannengLi.html
KotaroHirasawa.html
http___www.sciencedirect.com_science_article_pii_S156849461400533X http://www.sciencedirect.com/science/article/pii/S156849461400533X
http___dx.doi.org_10.1016_j.asoc.2014.10.023 http://dx.doi.org/10.1016/j.asoc.2014.10.023
DBLP:journals/access/LiYY18 Revisiting Genetic Network Programming (GNP): Towards the Simplified Genetic Operators
XiannengLi.html
HuiyanYang.html
MeihuaYang.html
https___doi.org_10.1109_ACCESS.2018.2864253 https://doi.org/10.1109/ACCESS.2018.2864253
http___dx.doi.org_10.1109_ACCESS.2018.2864253 http://dx.doi.org/10.1109/ACCESS.2018.2864253
https___dblp.org_rec_journals_access_LiYY18.bib https://dblp.org/rec/journals/access/LiYY18.bib
DBLP:journals/eswa/LiYW18 Niching genetic network programming with rule accumulation for decision making: An evolutionary rule-based approach
XiannengLi.html
MeihuaYang.html
ShizheWu.html
https___doi.org_10.1016_j.eswa.2018.07.041 https://doi.org/10.1016/j.eswa.2018.07.041
http___dx.doi.org_10.1016_j.eswa.2018.07.041 http://dx.doi.org/10.1016/j.eswa.2018.07.041
https___dblp.org_rec_journals_eswa_LiYW18.bib https://dblp.org/rec/journals/eswa/LiYW18.bib
Li:2013:CMMM Identifying Patients with Poststroke Mild Cognitive Impairment by Pattern Recognition of Working Memory Load-Related ERP
XiaoouLi.html
YuningYan.html
WenshiWei.html
http___www.ncbi.nlm.nih.gov_pmc_articles_PMC3819888 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3819888
http___dx.doi.org_10.1155_2013_658501 http://dx.doi.org/10.1155/2013/658501
li:2004:lbp Investigation of Constant Creation Techniques in the Context of Gene Expression Programming
XinLi.html
ChiZhou.html
PeterCNelson.html
ThomasMTirpak.html
http___gpbib.cs.ucl.ac.uk_gecco2004_LBP023.pdf http://gpbib.cs.ucl.ac.uk/gecco2004/LBP023.pdf
http___www.cs.uic.edu__xli1_papers_GEPConstantCreation_GECCO04_LBP_.pdf http://www.cs.uic.edu/~xli1/papers/GEPConstantCreation(GECCO04_LBP).pdf
Li:gecco05lbp Prefix Gene Expression Programming
XinLi.html
ChiZhou.html
WeiminXiao.html
PeterCNelson.html
http___gpbib.cs.ucl.ac.uk_gecco2005lbp_papers_85-li.pdf http://gpbib.cs.ucl.ac.uk/gecco2005lbp/papers/85-li.pdf
http___www.cs.uic.edu__xli1_papers_PGEP_GECCOLateBreaking05_XLi.pdf http://www.cs.uic.edu/~xli1/papers/PGEP_GECCOLateBreaking05_XLi.pdf
Substructures(ICMLA05)_XLi Direct Evolution of Hierarchical Solutions with Self-Emergent Substructures
XinLi.html
ChiZhou.html
WeiminXiao.html
PeterCNelson.html
http___www.cs.uic.edu__xli1_papers_Substructures_ICMLA05__XLi.pdf http://www.cs.uic.edu/~xli1/papers/Substructures(ICMLA05)_XLi.pdf
conf/aaai/Li05 Self-Emergence of Structures in Gene Expression Programming
XinLi.html
http___www.cs.uic.edu__xli1_papers_AAAI053LiX.pdf http://www.cs.uic.edu/~xli1/papers/AAAI053LiX.pdf
Li:2006:ICMLA Introducing Emergent Loose Modules into the Learning Process of a Linear Genetic Programming System
XinLi.html
ChiZhou.html
WeiminXiao.html
PeterCNelson.html
http___dx.doi.org_10.1109_ICMLA.2006.31 http://dx.doi.org/10.1109/ICMLA.2006.31
XinLu:thesis Self-emergence of structures in gene expression programming
XinLi.html
http___search.proquest.com_docview_304947984 http://search.proquest.com/docview/304947984
li:2008:IJAMT Optimization of flexible process planning by genetic programming
XinyuLi.html
XinyuShao.html
LiangGao.html
http___dx.doi.org_10.1007_s00170-007-1069-x http://dx.doi.org/10.1007/s00170-007-1069-x
li:2020:EMIPPS Improved Genetic Programming for Process Planning
XinyuLi.html
LiangGao.html
http___link.springer.com_chapter_10.1007_978-3-662-55305-3_4 http://link.springer.com/chapter/10.1007/978-3-662-55305-3_4
http___dx.doi.org_10.1007_978-3-662-55305-3_4 http://dx.doi.org/10.1007/978-3-662-55305-3_4
Li:2012:EvoMUSART Investigating Aesthetic Features to Model Human Preference in Evolutionary Art
YangLi.html
ChangjunHu.html
MingChen.html
JingyuanHu.html
http___dx.doi.org_10.1007_978-3-642-29142-5_14 http://dx.doi.org/10.1007/978-3-642-29142-5_14
Li:2013:GPEM Learning aesthetic judgements in evolutionary art systems
YangLi.html
ChangjunHu.html
LeandroLMinku.html
HaoleiZuo.html
http___dx.doi.org_10.1007_s10710-013-9188-7 http://dx.doi.org/10.1007/s10710-013-9188-7
Li:2012:CECb Phase Transition and New Fitness Function Based Genetic Inductive Logic Programming Algorithm
YanjuanLi.html
MaozuGuo.html
http___dx.doi.org_10.1109_CEC.2012.6256626 http://dx.doi.org/10.1109/CEC.2012.6256626
Li:2015:ISCID Evolutionary Design of a Second-Order Butterworth Lowpass Filter
YaoLi.html
XuehuaZhang.html
HongyuLiu.html
http___dx.doi.org_10.1109_ISCID.2015.126 http://dx.doi.org/10.1109/ISCID.2015.126
Li:2021:GECCOcomp Re-ID BUFF: An Enhanced Similarity Measurement Based on Genetic Programming for Person Re-identification
YimingLi.html
LinShang.html
http___dx.doi.org_10.1145_3449726.3459432 http://dx.doi.org/10.1145/3449726.3459432
Li:2017:SEAL Genetic Programming for Lifetime Maximization in Wireless Sensor Networks with a Mobile Sink
YingLi.html
ZhixingHuang.html
JinghuiZhong.html
LiangFeng.html
https___doi.org_10.1007_978-3-319-68759-9_63 https://doi.org/10.1007/978-3-319-68759-9_63
http___dx.doi.org_10.1007_978-3-319-68759-9_63 http://dx.doi.org/10.1007/978-3-319-68759-9_63
LI:2022:RCM Real-time data-driven dynamic scheduling for flexible job shop with insufficient transportation resources using hybrid deep Q network
YuxinLi.html
WenbinGu.html
MinghaiYuan.html
YamingTang.html
http___dx.doi.org_10.1016_j.rcim.2021.102283 http://dx.doi.org/10.1016/j.rcim.2021.102283
https___www.sciencedirect.com_science_article_pii_S0736584521001630 https://www.sciencedirect.com/science/article/pii/S0736584521001630
Li:2018:arxiv An Aggressive Genetic Programming Approach for Searching Neural Network Structure Under Computational Constraints
ZheLi.html
XuehanXiong.html
ZhouRen.html
NingZhang.html
XiaoyuWang.html
TianbaoYang.html
http___arxiv.org_abs_1806.00851 http://arxiv.org/abs/1806.00851
Li:2020:BIBM Toward high accuracy and visualization: An interpretable feature extraction method based on genetic programming and non-overlap degree
ZhuangLi.html
JieHe.html
XiaotongZhang.html
HuadongFu.html
JingyanQin.html
http___dx.doi.org_10.1109_BIBM49941.2020.9313182 http://dx.doi.org/10.1109/BIBM49941.2020.9313182
Li:2021:BIBM Enhancing the generalization of feature construction using genetic programming for imbalanced data with augmented non-overlap degree
ZhuangLi.html
JingyanQin.html
HaiyanGong.html
XiaotongZhang.html
YadongWan.html
http___dx.doi.org_10.1109_BIBM52615.2021.9669863 http://dx.doi.org/10.1109/BIBM52615.2021.9669863
LIANG:2020:ASC Preference-driven Pareto front exploitation for bloat control in genetic programming
JiayuLiang.html
YuxinLiu.html
YuXue.html
http___dx.doi.org_10.1016_j.asoc.2020.106254 http://dx.doi.org/10.1016/j.asoc.2020.106254
http___www.sciencedirect.com_science_article_pii_S1568494620301940 http://www.sciencedirect.com/science/article/pii/S1568494620301940
LIANG:2020:IS Bi-objective memetic GP with dispersion-keeping Pareto evaluation for real-world regression
JiayuLiang.html
YuXue.html
JianmingWang.html
http___dx.doi.org_10.1016_j.ins.2020.05.136 http://dx.doi.org/10.1016/j.ins.2020.05.136
http___www.sciencedirect.com_science_article_pii_S0020025520305636 http://www.sciencedirect.com/science/article/pii/S0020025520305636
LIANG:2020:EAAI Genetic programming based feature construction methods for foreground object segmentation
JiayuLiang.html
YuXue.html
JianmingWang.html
http___dx.doi.org_10.1016_j.engappai.2019.103334 http://dx.doi.org/10.1016/j.engappai.2019.103334
http___www.sciencedirect.com_science_article_pii_S0952197619302799 http://www.sciencedirect.com/science/article/pii/S0952197619302799
DBLP:journals/soco/LiangWWW20 Evolving semantic object segmentation methods automatically by genetic programming from images and image processing operators
JiayuLiang.html
JixiangWen.html
ZheWang.html
JianmingWang.html
https___doi.org_10.1007_s00500-020-04713-1 https://doi.org/10.1007/s00500-020-04713-1
http___dx.doi.org_10.1007_s00500-020-04713-1 http://dx.doi.org/10.1007/s00500-020-04713-1
https___dblp.org_rec_journals_soco_LiangWWW20.bib https://dblp.org/rec/journals/soco/LiangWWW20.bib
DBLP:journals/npl/LiangX21 Multi-Objective Memetic Algorithms with Tree-Based Genetic Programming and Local Search for Symbolic Regression
JiayuLiang.html
YuXue.html
https___doi.org_10.1007_s11063-021-10497-8 https://doi.org/10.1007/s11063-021-10497-8
http___dx.doi.org_10.1007_s11063-021-10497-8 http://dx.doi.org/10.1007/s11063-021-10497-8
https___dblp.org_rec_journals_npl_LiangX21.bib https://dblp.org/rec/journals/npl/LiangX21.bib
Liang:AI Bloat-aware GP-based methods with bloat quantification
JiayuLiang.html
YuXue.html
https___rdcu.be_cw94T https://rdcu.be/cw94T
http___dx.doi.org_10.1007_s10489-021-02245-1 http://dx.doi.org/10.1007/s10489-021-02245-1
Liang:2024:GPEM Architecture search of accurate and lightweight CNNs using genetic algorithm
JiayuLiang.html
HanqiCao.html
YaxinLu.html
MingmingSu.html
http___dx.doi.org_10.1007_s10710-024-09484-4 http://dx.doi.org/10.1007/s10710-024-09484-4
Liang:2023:ICTAI Dynamic Job Shop Scheduling via Deep Reinforcement Learning
XinjieLiang.html
WenSong.html
PengfeiWei.html
http___dx.doi.org_10.1109_ICTAI59109.2023.00060 http://dx.doi.org/10.1109/ICTAI59109.2023.00060
Liang:2019:ISPA The Research of Ternary Error-Correcting Output Codes Based on Genetic Programming
YifanLiang.html
ChangLiu.html
Han-RuiWang.html
Kun-HongLiu.html
http___dx.doi.org_10.1109_ISPA-BDCloud-SustainCom-SocialCom48970.2019.00123 http://dx.doi.org/10.1109/ISPA-BDCloud-SustainCom-SocialCom48970.2019.00123
Liang:2014:SEAL Image Segmentation: A Survey of Methods Based on Evolutionary Computation
YuyuLiang.html
MengjieZhang.html
WillNBrowne.html
http___dx.doi.org_10.1007_978-3-319-13563-2_71 http://dx.doi.org/10.1007/978-3-319-13563-2_71
Liang:2015:evoApplications A Supervised Figure-ground Segmentation Method using Genetic Programming
YuyuLiang.html
MengjieZhang.html
WillNBrowne.html
http___dx.doi.org_10.1007_978-3-319-16549-3_40 http://dx.doi.org/10.1007/978-3-319-16549-3_40
conf/acal/LiangZB16 Multi-objective Genetic Programming for Figure-Ground Image Segmentation
YuyuLiang.html
MengjieZhang.html
WillNBrowne.html
http___dx.doi.org_10.1007_978-3-319-28270-1 http://dx.doi.org/10.1007/978-3-319-28270-1
http___dx.doi.org_10.1007_978-3-319-28270-1_12 http://dx.doi.org/10.1007/978-3-319-28270-1_12
Liang:2016:CEC Figure-ground Image Segmentation using Genetic Programming and Feature Selection
YuyuLiang.html
MengjieZhang.html
WillNBrowne.html
http___dx.doi.org_10.1109_CEC.2016.7744276 http://dx.doi.org/10.1109/CEC.2016.7744276
conf/acalci/LiangZB17 Wrapper Feature Construction for Figure-Ground Image Segmentation Using Genetic Programming
YuyuLiang.html
MengjieZhang.html
WillNBrowne.html
http___dx.doi.org_10.1007_978-3-319-51691-2_10 http://dx.doi.org/10.1007/978-3-319-51691-2_10
Liang:2017:ASC Genetic programming for evolving figure-ground segmentors from multiple features
YuyuLiang.html
MengjieZhang.html
WillNBrowne.html
http___dx.doi.org_10.1016_j.asoc.2016.07.055 http://dx.doi.org/10.1016/j.asoc.2016.07.055
http___www.sciencedirect.com_science_article_pii_S156849461630391X http://www.sciencedirect.com/science/article/pii/S156849461630391X
Liang:2017:EAAI Image feature selection using genetic programming for figure-ground segmentation
YuyuLiang.html
MengjieZhang.html
WillNBrowne.html
http___www.sciencedirect.com_science_article_pii_S0952197617300544 http://www.sciencedirect.com/science/article/pii/S0952197617300544
http___dx.doi.org_10.1016_j.engappai.2017.03.009 http://dx.doi.org/10.1016/j.engappai.2017.03.009
Liang:2017:GECCO Learning Figure-ground Image Segmentors by Genetic Programming
YuyuLiang.html
MengjieZhang.html
WillNBrowne.html
http___doi.acm.org_10.1145_3067695.3075989 http://doi.acm.org/10.1145/3067695.3075989
http___dx.doi.org_10.1145_3067695.3075989 http://dx.doi.org/10.1145/3067695.3075989
liang:2017:IES Feature Construction Using Genetic Programming for Figure-Ground Image Segmentation
YuyuLiang.html
MengjieZhang.html
WillNBrowne.html
http___link.springer.com_chapter_10.1007_978-3-319-49049-6_17 http://link.springer.com/chapter/10.1007/978-3-319-49049-6_17
http___dx.doi.org_10.1007_978-3-319-49049-6_17 http://dx.doi.org/10.1007/978-3-319-49049-6_17
Liang:thesis Genetic Programming for Supervised Figure-ground Image Segmentation
YuyuLiang.html
http___hdl.handle.net_10063_6923 http://hdl.handle.net/10063/6923
http___researcharchive.vuw.ac.nz_bitstream_handle_10063_6923_thesis_access.pdf http://researcharchive.vuw.ac.nz/bitstream/handle/10063/6923/thesis_access.pdf
DBLP:journals/nca/LiangZB19 Figure-ground image segmentation using feature-based multi-objective genetic programming techniques
YuyuLiang.html
MengjieZhang.html
WillNBrowne.html
https___doi.org_10.1007_s00521-017-3253-8 https://doi.org/10.1007/s00521-017-3253-8
http___dx.doi.org_10.1007_s00521-017-3253-8 http://dx.doi.org/10.1007/s00521-017-3253-8
https___dblp.org_rec_journals_nca_LiangZB19.bib https://dblp.org/rec/journals/nca/LiangZB19.bib
Liang:2014:NaBIC Extracting Three-Dimensional Cellular Automaton for Cement Microstructure Development using Gene Expression Programming
ZhifengLiang.html
BoYang.html
LinWang.html
XiaoqiangZhang.html
NanaHe.html
AjithAbraham.html
http___dx.doi.org_10.1109_NaBIC.2014.6921851 http://dx.doi.org/10.1109/NaBIC.2014.6921851
Liao:thesis Goal-Directed Portfolio Insurance Strategies
BenjaminPenyangLiao.html
http___ir.lib.ncu.edu.tw_88_thesis_view_etd.asp_URN_87443004 http://ir.lib.ncu.edu.tw:88/thesis/view_etd.asp?URN=87443004
http___thesis.lib.ncu.edu.tw_ETD-db_ETD-search-c_getfile_URN_87443004_filename_87443004.pdf http://thesis.lib.ncu.edu.tw/ETD-db/ETD-search-c/getfile?URN=87443004&filename=87443004.pdf
Liao:2013:PHM Machinery time to failure prediction - Case study and lesson learned for a spindle bearing application
LinxiaLiao.html
RaduPavel.html
http___dx.doi.org_10.1109_ICPHM.2013.6621416 http://dx.doi.org/10.1109/ICPHM.2013.6621416
Liao:2014:ieeeIE Discovering Prognostic Features Using Genetic Programming in Remaining Useful Life Prediction
LinxiaLiao.html
http___dx.doi.org_10.1109_TIE.2013.2270212 http://dx.doi.org/10.1109/TIE.2013.2270212
Liao:2021:CEC Genetic Programming with Random Binary Decomposition for Multi-Class Classification Problems
LushenLiao.html
AdamKotaroPindur.html
HitoshiIba.html
http___dx.doi.org_10.1109_CEC45853.2021.9504967 http://dx.doi.org/10.1109/CEC45853.2021.9504967
Liao:2024:ETCI Towards Scalable Dynamic Traffic Assignment With Streaming Agents: A Decentralized Control Approach Using Genetic Programming
Xiao-ChengLiao.html
Wei-NengChen.html
Ya-HuiJia.html
Wen-JinQiu.html
http___dx.doi.org_10.1109_TETCI.2023.3296671 http://dx.doi.org/10.1109/TETCI.2023.3296671
Liao:CSS Uncertain Commuters Assignment Through Genetic Programming Hyper-Heuristic
Xiao-ChengLiao.html
Ya-HuiJia.html
Xiao-MinHu.html
Wei-NengChen.html
http___dx.doi.org_10.1109_TCSS.2023.3265727 http://dx.doi.org/10.1109/TCSS.2023.3265727
Liaw:ETCI Ensemble Learning Through Evolutionary Multitasking: A Formulation and Case Study
Rung-TzuoLiaw.html
Yu-WeiWen.html
http___dx.doi.org_10.1109_TETCI.2024.3369949 http://dx.doi.org/10.1109/TETCI.2024.3369949
Dissertation_Libuschewski Exploration of cyber-physical systems for GPGPU computer vision-based detection of biological viruses
PascalLibuschewski.html
https___eldorado.tu-dortmund.de_bitstream_2003_35929_1_Dissertation_Libuschewski.pdf https://eldorado.tu-dortmund.de/bitstream/2003/35929/1/Dissertation_Libuschewski.pdf
http___hdl.handle.net_2003_35929 http://hdl.handle.net/2003/35929
https___eldorado.tu-dortmund.de_handle_2003_35929 https://eldorado.tu-dortmund.de/handle/2003/35929
http___dx.doi.org_10.17877_DE290R-17952 http://dx.doi.org/10.17877/DE290R-17952
Lichocki:2009:EvoGAMES Evolving Teams of Cooperating Agents for Real-Time Strategy Game
PawelLichocki.html
KrzysztofKrawiec.html
WojciechJaskowski.html
http___dx.doi.org_10.1007_978-3-642-01129-0_37 http://dx.doi.org/10.1007/978-3-642-01129-0_37
Lichocki:2012:ieeeTEC Evolving team compositions by agent swapping
PawelLichocki.html
SteffenWischmann.html
LaurentKeller.html
DarioFloreano.html
http___dx.doi.org_10.1109_TEVC.2012.2191292 http://dx.doi.org/10.1109/TEVC.2012.2191292
Lichocki:thesis Evolution of division of labor in artificial societies
PawelLichocki.html
http___infoscience.epfl.ch_record_184959_files_EPFL_TH5687.pdf http://infoscience.epfl.ch/record/184959/files/EPFL_TH5687.pdf
lichodzijewski:2004:cgmfdm Cascaded GP Models for Data Mining
PeterLichodzijewski.html
NurZincir-Heywood.html
MalcolmHeywood.html
http___flame.cs.dal.ca__piotr_01331178.pdf http://flame.cs.dal.ca/~piotr/01331178.pdf
http___dx.doi.org_10.1109_CEC.2004.1331178 http://dx.doi.org/10.1109/CEC.2004.1331178
lichodzijewski:2005:CEC CasGP: Building Cascaded Hierarchical Models Using Niching
PeterLichodzijewski.html
MalcolmHeywood.html
NurZincir-Heywood.html
http___flame.cs.dal.ca__piotr_01554824.pdf http://flame.cs.dal.ca/~piotr/01554824.pdf
http___dx.doi.org_10.1109_CEC.2005.1554824 http://dx.doi.org/10.1109/CEC.2005.1554824
eurogp07:lichodzijewski GP Classifier Problem Decomposition Using First-Price and Second-Price Auctions
PeterLichodzijewski.html
MalcolmHeywood.html
http___dx.doi.org_10.1007_978-3-540-71605-1_13 http://dx.doi.org/10.1007/978-3-540-71605-1_13
1277058 Pareto-coevolutionary genetic programming for problem decomposition in multi-class classification
PeterLichodzijewski.html
MalcolmHeywood.html
http___gpbib.cs.ucl.ac.uk_gecco2007_docs_p464.pdf http://gpbib.cs.ucl.ac.uk/gecco2007/docs/p464.pdf
http___dx.doi.org_10.1145_1276958.1277058 http://dx.doi.org/10.1145/1276958.1277058
Lichodzijewski:2008:gecco Managing team-based problem solving with symbiotic bid-based genetic programming
PeterLichodzijewski.html
MalcolmHeywood.html
http___gpbib.cs.ucl.ac.uk_gecco2008_docs_p363.pdf http://gpbib.cs.ucl.ac.uk/gecco2008/docs/p363.pdf
http___dx.doi.org_10.1145_1389095.1389162 http://dx.doi.org/10.1145/1389095.1389162
Lichodzijewski:2008:GPEM Coevolutionary bid-based genetic programming for problem decomposition in classification
PeterLichodzijewski.html
MalcolmHeywood.html
http___dx.doi.org_10.1007_s10710-008-9067-9 http://dx.doi.org/10.1007/s10710-008-9067-9
Lichodzijewski:2010:gecco Symbiosis, complexification and simplicity under GP
PeterLichodzijewski.html
MalcolmHeywood.html
http___dx.doi.org_10.1145_1830483.1830640 http://dx.doi.org/10.1145/1830483.1830640
Lichodzijewski:2010:GPTP The Rubik Cube and GP Temporal Sequence Learning: An Initial Study
PeterLichodzijewski.html
MalcolmHeywood.html
http___www.springer.com_computer_ai_book_978-1-4419-7746-5 http://www.springer.com/computer/ai/book/978-1-4419-7746-5
http___dx.doi.org_10.1007_978-1-4419-7747-2_3 http://dx.doi.org/10.1007/978-1-4419-7747-2_3
Lichodzijewski_Peter.pdf A Symbiotic Bid-Based Framework for Problem Decomposition using Genetic Programming
PeterLichodzijewski.html
http___hdl.handle.net_10222_13260 http://hdl.handle.net/10222/13260
http___dalspace.library.dal.ca_bitstream_handle_10222_13260_Lichodzijewski_Peter.pdf http://dalspace.library.dal.ca/bitstream/handle/10222/13260/Lichodzijewski_Peter.pdf
DBLP:journals/corr/abs-2202-01490 On the Utility of Marrying GIN and PMD for Improving Stack Overflow Code Snippets
SherlockALicorish.html
MarkusWagner.html
https___dblp.org_rec_journals_corr_abs-2202-01490.bib https://dblp.org/rec/journals/corr/abs-2202-01490.bib
https___arxiv.org_abs_2202.01490 https://arxiv.org/abs/2202.01490
Licorish:2022:GI Dissecting Copy/Delete/Replace/Swap mutations: Insights from a GIN Case Study
SherlockALicorish.html
MarkusWagner.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_gecco2022_gi2022_papers_Licorish_2022_GI.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/gecco2022/gi2022/papers/Licorish_2022_GI.pdf
http___dx.doi.org_10.1145_3520304.3533970 http://dx.doi.org/10.1145/3520304.3533970
http___geneticimprovementofsoftware.com_slides_gi2022gecco_wagner-dissecting-copy-delete-replace-swap-gi-gecco-22.pdf http://geneticimprovementofsoftware.com/slides/gi2022gecco/wagner-dissecting-copy-delete-replace-swap-gi-gecco-22.pdf
https___www.youtube.com_watch_v_CI5sT3L_-CI_list_PLI8fiFpB7BoIHgl5CsdtjfWvHlE5N6pje_index_9 https://www.youtube.com/watch?v=CI5sT3L_-CI&list=PLI8fiFpB7BoIHgl5CsdtjfWvHlE5N6pje&index=9
Liddle:2010:cec Multi-Objective Genetic Programming for object detection
ThomasLiddle.html
MarkJohnston.html
MengjieZhang.html
http___dx.doi.org_10.1109_CEC.2010.5586072 http://dx.doi.org/10.1109/CEC.2010.5586072
IkSooLim:1998:imgphvGP Indexed Memory as a Generic Protocol for Handling Vectors of Data in Genetic Programming
IkSooLim.html
DanielThalmann.html
http___dx.doi.org_10.1007_BFb0056875 http://dx.doi.org/10.1007/BFb0056875
lim:1999:HNBBEGHB How Not to Be a Black-Box: Evolution and Genetic-Engineering of High-Level Behaviours
IkSooLim.html
DanielThalmann.html
http___ligwww.epfl.ch__thalmann_papers.dir_GECCO99.pdf http://ligwww.epfl.ch/~thalmann/papers.dir/GECCO99.pdf
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http___gpbib.cs.ucl.ac.uk_gecco1999_AA-001.pdf http://gpbib.cs.ucl.ac.uk/gecco1999/AA-001.pdf
Lim:2016:CS Evaluation of ultimate conditions of FRP-confined concrete columns using genetic programming
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MuratKarakus.html
TogayOzbakkaloglu.html
http___dx.doi.org_10.1016_j.compstruc.2015.09.005 http://dx.doi.org/10.1016/j.compstruc.2015.09.005
http___www.sciencedirect.com_science_article_pii_S0045794915002643 http://www.sciencedirect.com/science/article/pii/S0045794915002643
Lim:2016:SSBSE Field Report: Applying Monte Carlo Tree Search for Program Synthesis
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https___coinse.github.io_projects_mctsps_ https://coinse.github.io/projects/mctsps/
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http___dx.doi.org_10.1007_978-3-319-47106-8_27 http://dx.doi.org/10.1007/978-3-319-47106-8_27
Lim:2020:SSBSE:RENE Impact of Test Suite Coverage on Overfitting in Genetic Improvement of Software
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http___dx.doi.org_10.1007_978-3-030-59762-7_14 http://dx.doi.org/10.1007/978-3-030-59762-7_14
Lim:2011:GECCO Evolving Relationships between Social Networks and Stakeholder Involvement in Software Projects
SooLingLim.html
PeterJBentley.html
http___dx.doi.org_10.1145_2001576.2001831 http://dx.doi.org/10.1145/2001576.2001831
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Lim:2004:aspgp Interactive Genetic Programming for the Sentence Generation of Dialog-Based Travel Planning System
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Jin-HyukHong.html
SungBaeCho.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.540.4801 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.540.4801
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conf/mdai/LimC05 Language Generation for Conversational Agent by Evolution of Plan Trees with Genetic Programming
Sung-SooLim.html
SungBaeCho.html
http___dx.doi.org_10.1007_11526018_30 http://dx.doi.org/10.1007/11526018_30
RC24442 Policy Evolution with Genetic Programming
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PankajRohatgi.html
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http___domino.watson.ibm.com_library_CyberDig.nsf_papers_..._RC24442.pdf http://domino.watson.ibm.com/library/CyberDig.nsf/papers/.../RC24442.pdf
Lim:2008:cec Policy Evolution with Genetic Programming: A Comparison of Three Approaches
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JohnAClark.html
PankajRohatgi.html
http___dx.doi.org_10.1109_CEC.2008.4631032 http://dx.doi.org/10.1109/CEC.2008.4631032
Lim:2008:gecco MLS security policy evolution with genetic programming
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http___dx.doi.org_10.1145_1389095.1389395 http://dx.doi.org/10.1145/1389095.1389395
DBLP:conf/seal/LimCCR08 Policy Evolution with Grammatical Evolution
YowTzuLim.html
PauChenCheng.html
JohnAClark.html
PankajRohatgi.html
http___dx.doi.org_10.1007_978-3-540-89694-4_8 http://dx.doi.org/10.1007/978-3-540-89694-4_8
Lim:thesis Evolving Security Policies
YowTzuLim.html
http___etheses.whiterose.ac.uk_id_eprint_1612 http://etheses.whiterose.ac.uk/id/eprint/1612
http___etheses.whiterose.ac.uk_1612_3_thesis.pdf http://etheses.whiterose.ac.uk/1612/3/thesis.pdf
DBLP:conf/mod/LimaBB19 Designing Combinational Circuits Using a Multi-objective Cartesian Genetic Programming with Adaptive Population Size
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HederSoaresBernardino.html
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https___doi.org_10.1007_978-3-030-37599-7_49 https://doi.org/10.1007/978-3-030-37599-7_49
http___dx.doi.org_10.1007_978-3-030-37599-7_49 http://dx.doi.org/10.1007/978-3-030-37599-7_49
https___dblp.org_rec_conf_mod_LimaBB19.bib https://dblp.org/rec/conf/mod/LimaBB19.bib
Lima:2019:GECCOcomp Evolving convolutional neural networks through grammatical evolution
RicardoHenriqueRemesdeLima.html
AuroraTrinidadRamirezPozo.html
http___dx.doi.org_10.1145_3319619.3322058 http://dx.doi.org/10.1145/3319619.3322058
conf/bracis/LimaPS19 Automatic Design of Convolutional Neural Networks using Grammatical Evolution
RicardoHenriqueRemesdeLima.html
AuroraTrinidadRamirezPozo.html
RobertoSantana.html
https___ieeexplore.ieee.org_xpl_conhome_8910170_proceeding https://ieeexplore.ieee.org/xpl/conhome/8910170/proceeding
http___dx.doi.org_10.1109_BRACIS.2019.00065 http://dx.doi.org/10.1109/BRACIS.2019.00065
Lima:2020:CEC A Symmetric grammar approach for designing segmentation models
RicardoHenriqueRemesdeLima.html
AuroraTrinidadRamirezPozo.html
AlexanderMendiburu.html
RobertoSantana.html
http___dx.doi.org_10.1109_CEC48606.2020.9185760 http://dx.doi.org/10.1109/CEC48606.2020.9185760
Lima:2021:EuroGP Automatic Design of Deep Neural Networks Applied to Image Segmentation Problems
RicardoHenriqueRemesdeLima.html
AuroraTrinidadRamirezPozo.html
AlexanderMendiburu.html
RobertoSantana.html
http___dx.doi.org_10.1007_978-3-030-72812-0_7 http://dx.doi.org/10.1007/978-3-030-72812-0_7
Lima:2022:GPEM A grammar-based GP approach applied to the design of deep neural networks
RicardoHenriqueRemesdeLima.html
DimmyMagalhaes.html
AuroraTrinidadRamirezPozo.html
AlexanderMendiburu.html
RobertoSantana.html
http___dx.doi.org_10.1007_s10710-022-09432-0 http://dx.doi.org/10.1007/s10710-022-09432-0
journals/eswa/CamposOR16 Optimization of neural networks through grammatical evolution and a genetic algorithm
LidioMauroLimadeCampos.html
RobertoCelioLimadeOliveira.html
MauroRoisenberg.html
http___dx.doi.org_10.1016_j.eswa.2016.03.012 http://dx.doi.org/10.1016/j.eswa.2016.03.012
Limon:2015:ROPEC Class-specific feature generation for 1NN through genetic programming
MauricioGarcia-Limon.html
HugoJairEscalante.html
EduardoFMorales.html
LuisVillasenorPineda.html
http___dx.doi.org_10.1109_ROPEC.2015.7395158 http://dx.doi.org/10.1109/ROPEC.2015.7395158
PAPER44 Application of Genetic Programming to Fuzzy Modeling and the Schedule of Direct Load Control
Cheng-HanLin.html
http___hdl.handle.net_11296_72juw6 http://hdl.handle.net/11296/72juw6
http___itlab.ee.ntut.edu.tw_web_2011_papers_PAPER44.HTM http://itlab.ee.ntut.edu.tw/web_2011/papers/PAPER44.HTM
http___ndltd.ncl.edu.tw_cgi-bin_gs32_gsweb.cgi_login_o_dnclcdr_s_id__22095TIT05442060_22._searchmode_basic http://ndltd.ncl.edu.tw/cgi-bin/gs32/gsweb.cgi/login?o=dnclcdr&s=id=%22095TIT05442060%22.&searchmode=basic
lin:2015:APSIES Considering Reputation in the Selection Strategy of Genetic Programming
Chiao-JouLin.html
Rung-TzuoLiaw.html
Chien-ChihLiao.html
Chuan-KangTing.html
http___link.springer.com_chapter_10.1007_978-3-319-13356-0_42 http://link.springer.com/chapter/10.1007/978-3-319-13356-0_42
http___dx.doi.org_10.1007_978-3-319-13356-0_42 http://dx.doi.org/10.1007/978-3-319-13356-0_42
lin:2018:Energies Considering Multiple Factors to Forecast CO2 Emissions: A Hybrid Multivariable Grey Forecasting and Genetic Programming Approach
Chun-ChengLin.html
Rou-XuanHe.html
Wan-YuLiu.html
https___www.mdpi.com_1996-1073_11_12_3432 https://www.mdpi.com/1996-1073/11/12/3432
http___dx.doi.org_10.3390_en11123432 http://dx.doi.org/10.3390/en11123432
Lin:2020:ESA A genetic programming hyper-heuristic approach for the multi-skill resource constrained project scheduling problem
JianLin.html
LeiZhu.html
KaizhouGao.html
http___www.sciencedirect.com_science_article_pii_S0957417419306335 http://www.sciencedirect.com/science/article/pii/S0957417419306335
http___dx.doi.org_10.1016_j.eswa.2019.112915 http://dx.doi.org/10.1016/j.eswa.2019.112915
Lin:2002:FBC A Function-Based Classifier Learning Scheme Using Genetic Programming
MickJung-YiLin.html
Been-ChianChien.html
Tzung-PeiHong.html
http___dx.doi.org_10.1007_3-540-47887-6_9 http://dx.doi.org/10.1007/3-540-47887-6_9
Lin:2007:ESA Classifier design with feature selection and feature extraction using layered genetic programming
MickJung-YiLin.html
Hao-RenKe.html
Been-ChianChien.html
Wei-PangYang.html
http___dx.doi.org_10.1016_j.eswa.2007.01.006 http://dx.doi.org/10.1016/j.eswa.2007.01.006
Lin20072211 Designing a classifier by a layered multi-population genetic programming approach
MickJung-YiLin.html
Hao-RenKe.html
Been-ChianChien.html
Wei-PangYang.html
http___dx.doi.org_10.1016_j.patcog.2007.01.003 http://dx.doi.org/10.1016/j.patcog.2007.01.003
http___www.sciencedirect.com_science_article_B6V14-4MVVSM4-5_2_2085e138e1b34ae21d5e76438ae3fc70 http://www.sciencedirect.com/science/article/B6V14-4MVVSM4-5/2/2085e138e1b34ae21d5e76438ae3fc70
Jung-Yi_Lin:thesis Layered Multi-Population Genetic Programming And Its Applications
MickJung-YiLin.html
http___ndltd.ncl.edu.tw_cgi-bin_gs32_gsweb.cgi_ccd_CYyGVt_result http://ndltd.ncl.edu.tw/cgi-bin/gs32/gsweb.cgi/ccd=CYyGVt/result
http___ndltd.ncl.edu.tw_cgi-bin_gs32_gsweb.cgi_o_dnclcdr_s_id__22095NCTU5394045_22._searchmode_basic http://ndltd.ncl.edu.tw/cgi-bin/gs32/gsweb.cgi?o=dnclcdr&s=id=%22095NCTU5394045%22.&searchmode=basic
http___hdl.handle.net_11536_53780 http://hdl.handle.net/11536/53780
http___ir.nctu.edu.tw_bitstream_11536_53780_1_381501.pdf http://ir.nctu.edu.tw/bitstream/11536/53780/1/381501.pdf
DBLP:conf/gecco/Lin09a Cancer classification using microarray and layered architecture genetic programming
MickJung-YiLin.html
http___dx.doi.org_10.1145_1570256.1570281 http://dx.doi.org/10.1145/1570256.1570281
Lin:2010:ICS Fitness enhancement of layered architecture genetic programming
MickJung-YiLin.html
http___dx.doi.org_10.1109_COMPSYM.2010.5685423 http://dx.doi.org/10.1109/COMPSYM.2010.5685423
Lin:2012:CyberneticsCom Learning to rank for information retrieval using layered multi-population genetic programming
MickJung-YiLin.html
Jen-YuanYeh.html
ChaoChungLiu.html
http___dx.doi.org_10.1109_CyberneticsCom.2012.6381614 http://dx.doi.org/10.1109/CyberneticsCom.2012.6381614
Lin:2012:ICMLC Applying layered multi-population genetic programming on learning to rank for information retrieval
MickJung-YiLin.html
Jen-YuanYeh.html
ChaoChungLiu.html
http___dx.doi.org_10.1109_ICMLC.2012.6359640 http://dx.doi.org/10.1109/ICMLC.2012.6359640
Lin:2012:ICGEC Position Correction on Consumer-Grade GPS Using Genetic Programming
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MingChihTung.html
ChiaHuiChang.html
ChaoChungLiu.html
JuFuPeng.html
http___dx.doi.org_10.1109_ICGEC.2012.120 http://dx.doi.org/10.1109/ICGEC.2012.120
Lin:2012:SCIS Evolving GPS position correction function using genetic programming
MickJung-YiLin.html
ChiaHuiChang.html
JuFuPeng.html
MingChihTung.html
ChaoChungLiu.html
http___dx.doi.org_10.1109_SCIS-ISIS.2012.6505080 http://dx.doi.org/10.1109/SCIS-ISIS.2012.6505080
lin:2013:AISA A New GPS Position Correction Method Based on Genetic Programming
MickJung-YiLin.html
MingChihTung.html
ChiaHuiChang.html
ChaoChungLiu.html
JuFuPeng.html
http___link.springer.com_chapter_10.1007_978-3-642-35452-6_20 http://link.springer.com/chapter/10.1007/978-3-642-35452-6_20
http___dx.doi.org_10.1007_978-3-642-35452-6_20 http://dx.doi.org/10.1007/978-3-642-35452-6_20
Lin:2023:ICDMW Enhancing Interpretability in AI-Generated Image Detection with Genetic Programming
MingqianLin.html
LinShang.html
Xiaoying_Sharon_Gao.html
http___dx.doi.org_10.1109_ICDMW60847.2023.00053 http://dx.doi.org/10.1109/ICDMW60847.2023.00053
pingchen_lin_paper FuzzyTree Crossover for Multi-Valued Stock Valuation
Ping-ChenLin.html
Jiah-ShingChen.html
http___www.aiecon.org_conference_efmaci2004_pdf_pingchen_lin_paper.pdf http://www.aiecon.org/conference/efmaci2004/pdf/pingchen_lin_paper.pdf
Lin:2007:IS FuzzyTree crossover for multi-valued stock valuation
Ping-ChenLin.html
Jiah-ShingChen.html
http___dx.doi.org_10.1016_j.ins.2006.08.017 http://dx.doi.org/10.1016/j.ins.2006.08.017
Lin:2017:Vacuum Microstructural evolution and constitutive models to predict hot deformation behaviors of a nickel-based superalloy
YCLin.html
Fu-QiNong.html
Xiao-MinChen.html
Dong-DongChen.html
Ming-SongChen.html
http___dx.doi.org_10.1016_j.vacuum.2016.12.022 http://dx.doi.org/10.1016/j.vacuum.2016.12.022
http___www.sciencedirect.com_science_article_pii_S0042207X16308041 http://www.sciencedirect.com/science/article/pii/S0042207X16308041
Lin:2021:NatureComm Decline in plankton diversity and carbon flux with reduced sea ice extent along the Western Antarctic Peninsula
YajuanLin.html
CarlyMoreno.html
AdrianMarchetti.html
HughDucklow.html
OscarSchofield.html
ErwanDelage.html
MichaelMeredith.html
ZuchuanLi.html
DamienEveillard.html
SamuelChaffron.html
NicolasCassar.html
https___hal.archives-ouvertes.fr_hal-03389081 https://hal.archives-ouvertes.fr/hal-03389081
https___hal.archives-ouvertes.fr_hal-03389081_document https://hal.archives-ouvertes.fr/hal-03389081/document
https___www.nature.com_articles_s41467-021-25235-w.pdf https://www.nature.com/articles/s41467-021-25235-w.pdf
http___dx.doi.org_10.1038_s41467-021-25235-w http://dx.doi.org/10.1038/s41467-021-25235-w
https___github.com_nicolascassar_WGCNA-Analyses https://github.com/nicolascassar/WGCNA-Analyses
https___github.com_nicolascassar_O2Ar_calculations https://github.com/nicolascassar/O2Ar_calculations
Yingqiang_Lin:thesis Feature synthesis and analysis by evolutionary computation for object detection and recognition
YingqiangLin.html
http___dl.acm.org_citation.cfm_id_979049 http://dl.acm.org/citation.cfm?id=979049
http___search.proquest.com_docview_305342764 http://search.proquest.com/docview/305342764
bb38973 Object Detection via Feature Synthesis Using MDL-Based Genetic Programming
YingqiangLin.html
BirBhanu.html
http___ieeexplore.ieee.org_iel5_3477_30862_01430837.pdf http://ieeexplore.ieee.org/iel5/3477/30862/01430837.pdf
http___dx.doi.org_10.1109_TSMCB.2005.846656 http://dx.doi.org/10.1109/TSMCB.2005.846656
Lin:2005:tSMC Evolutionary feature synthesis for object recognition
YingqiangLin.html
BirBhanu.html
http___dx.doi.org_10.1109_TSMCC.2004.841912 http://dx.doi.org/10.1109/TSMCC.2004.841912
Lin:2010:ICMLC Gene expression programming with parallel hybrid model
Yi-ShenLin.html
Xiao-TingLiang.html
http___dx.doi.org_10.1109_ICMLC.2010.5580717 http://dx.doi.org/10.1109/ICMLC.2010.5580717
conf/cikm/LinLZX14 GPQ: Directly Optimizing Q-measure based on Genetic Programming
YuanLin.html
HongfeiLin.html
PingZhang.html
BoXu.html
http___dl.acm.org_citation.cfm_id_2661829 http://dl.acm.org/citation.cfm?id=2661829
http___dx.doi.org_10.1145_2661829.2661932 http://dx.doi.org/10.1145/2661829.2661932
Linard:2019:DSD An Application of Hyper-Heuristics to Flexible Manufacturing Systems
AlexisLinard.html
JoostvanPinxten.html
http___dx.doi.org_10.1109_DSD.2019.00057 http://dx.doi.org/10.1109/DSD.2019.00057
lindblad:2002:emioiugh Evolving 3D model interpretation of images using graphics hardware
FredrikLindblad.html
PeterNordin.html
KristerWolff.html
http___fy.chalmers.se__wolff_LNW_wcci02.pdf http://fy.chalmers.se/~wolff/LNW_wcci02.pdf
http___dx.doi.org_10.1109_CEC.2002.1006238 http://dx.doi.org/10.1109/CEC.2002.1006238
Linden:2007:biosystems Evolving fuzzy rules to model gene expression
RicardoLinden.html
AmitBhaya.html
http___dx.doi.org_10.1016_j.biosystems.2006.04.006 http://dx.doi.org/10.1016/j.biosystems.2006.04.006
Ling:2022:Communications Towards an Efficient Defense against Deep Learning based Website Fingerprinting
ZhenLing.html
GuiXiao.html
WenjiaWu.html
XiaodanGu.html
MingYang.html
XinwenFu.html
http___dx.doi.org_10.1109_INFOCOM48880.2022.9796685 http://dx.doi.org/10.1109/INFOCOM48880.2022.9796685
oai:arXiv.org:hep-ex/0503007 Application of Genetic Programming to High Energy Physics Event Selection
JMLink.html
PhilipMYager.html
JCAnjos.html
IBediaga.html
CCastromonte.html
CGobel.html
AAMachado.html
JMagnin.html
AMassafferri.html
JMdeMiranda.html
IMPepe.html
EPolycarpo.html
ACdosReis.html
SCarrillo.html
ECasimiro.html
ECuautle.html
ASanchez-Hernandez.html
CUribe.html
FVazquez.html
LAgostino.html
LCinquini.html
JPCumalat.html
BO'Reilly.html
ISegoni.html
KStenson.html
JNButler.html
HWKCheung.html
GChiodini.html
IGaines.html
PHGarbincius.html
LAGarren.html
EGottschalk.html
PHKasper.html
AEKreymer.html
RKutschke.html
MWang.html
LBenussi.html
MBertani.html
SBianco.html
FLFabbri.html
SPacetti.html
AZallo.html
MReyes.html
CCawlfield.html
DYKim.html
ARahimi.html
JWiss.html
RGardner.html
AKryemadhi.html
YSChung.html
JSKang.html
BRKo.html
JWKwak.html
KBLee.html
KCho.html
HPark.html
GAlimonti.html
SBarberis.html
MBoschini.html
ACerutti.html
PD'Angelo.html
MDiCorato.html
PDini.html
LEdera.html
SErba.html
PInzani.html
FLeveraro.html
SMalvezzi.html
DMenasce.html
MMezzadri.html
LMoroni.html
DPedrini.html
CPontoglio.html
FPrelz.html
MRovere.html
SSala.html
TomForestDavenportIII.html
VArena.html
GBoca.html
GBonomi.html
GabrieleGianini.html
GLiguori.html
DLopesPegna.html
MMMerlo.html
DPantea.html
SPRatti.html
CRiccardi.html
PVitulo.html
HHernandez.html
AngelMLopez.html
HMendez.html
AParis.html
JQuinones.html
JERamirez.html
YZhang.html
JRWilson.html
THandler.html
RMitchell.html
DEngh.html
MHosack.html
WEJohns.html
ELuiggi.html
JEMoore.html
MNehring.html
PDSheldon.html
EricWVaandering.html
MWebster.html
MSheaff.html
http___docdb.fnal.gov_FOCUS_DocDB_0000_000005_011_gp_method.pdf http://docdb.fnal.gov/FOCUS/DocDB/0000/000005/011/gp_method.pdf
http___arxiv.org_abs_hep-ex_0503007 http://arxiv.org/abs/hep-ex/0503007
http___dx.doi.org_10.1016_j.nima.2005.05.069 http://dx.doi.org/10.1016/j.nima.2005.05.069
Link:2005ym Search for Lambda/c+ --> p K+ pi- and D/s+ --> K+ K+ pi- using genetic programming event selection
JMLink.html
PhilipMYager.html
JCAnjos.html
IBediaga.html
CCastromonte.html
AAMachado.html
JMagnin.html
AMassafferri.html
JMdeMiranda.html
IMPepe.html
EPolycarpo.html
ACdosReis.html
SCarrillo.html
ECasimiro.html
ECuautle.html
ASanchez-Hernandez.html
CUribe.html
FVazquez.html
LAgostino.html
LCinquini.html
JPCumalat.html
BO'Reilly.html
ISegoni.html
KStenson.html
JNButler.html
HWKCheung.html
GChiodini.html
IGaines.html
PHGarbincius.html
LAGarren.html
EGottschalk.html
PHKasper.html
AEKreymer.html
RKutschke.html
MWang.html
LBenussi.html
MBertani.html
SBianco.html
FLFabbri.html
SPacetti.html
AZallo.html
MReyes.html
CCawlfield.html
DYKim.html
ARahimi.html
JWiss.html
RGardner.html
AKryemadhi.html
YSChung.html
JSKang.html
BRKo.html
JWKwak.html
KBLee.html
KCho.html
HPark.html
GAlimonti.html
SBarberis.html
MBoschini.html
ACerutti.html
PD'Angelo.html
MDiCorato.html
PDini.html
LEdera.html
SErba.html
PInzani.html
FLeveraro.html
SMalvezzi.html
DMenasce.html
MMezzadri.html
LMoroni.html
DPedrini.html
CPontoglio.html
FPrelz.html
MRovere.html
SSala.html
TomForestDavenportIII.html
VArena.html
GBoca.html
GBonomi.html
GabrieleGianini.html
GLiguori.html
DLopesPegna.html
MMMerlo.html
DPantea.html
SPRatti.html
CRiccardi.html
PVitulo.html
CGobel.html
HHernandez.html
AngelMLopez.html
HMendez.html
AParis.html
JQuinones.html
JERamirez.html
YZhang.html
JRWilson.html
THandler.html
RMitchell.html
DEngh.html
MHosack.html
WEJohns.html
ELuiggi.html
JEMoore.html
MNehring.html
PDSheldon.html
EricWVaandering.html
MWebster.html
MSheaff.html
http___arxiv.org_pdf_hep-ex_0507103 http://arxiv.org/pdf/hep-ex/0507103
http___dx.doi.org_10.1016_j.physletb.2005.08.032 http://dx.doi.org/10.1016/j.physletb.2005.08.032
Linkola:2018:evoMusArt On Collaborator Selection in Creative Agent Societies: An Evolutionary Art Case Study
SimoLinkola.html
OttoHantula.html
http___dx.doi.org_10.1007_978-3-319-77583-8_14 http://dx.doi.org/10.1007/978-3-319-77583-8_14
Linsbauer:2014:SSBSE Feature Model Synthesis with Genetic Programming
LukasLinsbauer.html
RobertoELopez-Herrejon.html
AlexanderEgyed.html
http___www.springer.com_computer_swe_book_978-3-319-09939-2 http://www.springer.com/computer/swe/book/978-3-319-09939-2
http___dx.doi.org_10.1007_978-3-319-09940-8_11 http://dx.doi.org/10.1007/978-3-319-09940-8_11
Liong2001777 Alternative well calibrated rainfall-runoff model: Genetic programming scheme
Shie-YuiLiong.html
Van-Thanh-VanNguyen.html
TirthaRajGautam.html
LoongWee.html
http___ascelibrary.org_doi_abs_10.1061_40583_28275_2973 http://ascelibrary.org/doi/abs/10.1061/40583%28275%2973
http___dx.doi.org_10.1061_40583_275_73 http://dx.doi.org/10.1061/40583(275)73
me22 Genetic Programming: A New Paradigm in Rainfall Runoff Modeling
Shie-YuiLiong.html
TirthaRajGautam.html
Soon-ThiamKhu.html
VladanBabovic.html
MaartenKeijzer.html
NitinMuttil.html
http___dx.doi.org_10.1111_j.1752-1688.2002.tb00991.x http://dx.doi.org/10.1111/j.1752-1688.2002.tb00991.x
Liou:2019:GPGPU Uncovering Performance Opportunities by Relaxing Program Semantics of GPGPU Kernels
Jhe-YuLiou.html
StephanieForrest.html
Carole-JeanWu.html
https___asplos-conference.org_2019_index.html_p_824.html https://asplos-conference.org/2019/index.html@p=824.html
https___asplos-conference.org_2019_wp-content_uploads_2019_04_asplos19waci-liou-forrest-wu.pdf https://asplos-conference.org/2019/wp-content/uploads/2019/04/asplos19waci-liou-forrest-wu.pdf
Liou:2019:GI Genetic Improvement of GPU Code
Jhe-YuLiou.html
StephanieForrest.html
Carole-JeanWu.html
http___gpbib.cs.ucl.ac.uk_gi2019_Liou_2019_GI.pdf http://gpbib.cs.ucl.ac.uk/gi2019/Liou_2019_GI.pdf
http___geneticimprovementofsoftware.com_paper_pdfs_liou2019genetic.pdf http://geneticimprovementofsoftware.com/paper_pdfs/liou2019genetic.pdf
https___dl.acm.org_citation.cfm_id_3339020.3339025 https://dl.acm.org/citation.cfm?id=3339020.3339025
http___dx.doi.org_10.1109_GI.2019.00014 http://dx.doi.org/10.1109/GI.2019.00014
https___github.com_Xtra-Computing_thundersvm https://github.com/Xtra-Computing/thundersvm
Liou:2020:GECCOcomp GEVO-ML: A Proposal for Optimizing ML Code with Evolutionary Computation
Jhe-YuLiou.html
XiaodongWang.html
StephanieForrest.html
Carole-JeanWu.html
https___doi.org_10.1145_3377929.3398139 https://doi.org/10.1145/3377929.3398139
http___dx.doi.org_10.1145_3377929.3398139 http://dx.doi.org/10.1145/3377929.3398139
Liou:2020:ACMtaco GEVO: GPU Code Optimization Using Evolutionary Computation
Jhe-YuLiou.html
XiaodongWang.html
StephanieForrest.html
Carole-JeanWu.html
http___dx.doi.org_10.1145_3418055 http://dx.doi.org/10.1145/3418055
https___github.com_lioujheyu_cuda_evolve https://github.com/lioujheyu/cuda_evolve
Liou:2022:arxiv Understanding the Power of Evolutionary Computation for GPU Code Optimization
Jhe-YuLiou.html
MuaazGulAwan.html
StevenAHofmeyr.html
StephanieForrest.html
Carole-JeanWu.html
https___arxiv.org_abs_2208.12350 https://arxiv.org/abs/2208.12350
http___dx.doi.org_10.48550_ARXIV.2208.12350 http://dx.doi.org/10.48550/ARXIV.2208.12350
https___github.com_lioujheyu_gevo https://github.com/lioujheyu/gevo
Liou:2022:IISWC Understanding the Power of Evolutionary Computation for GPU Code Optimization
Jhe-YuLiou.html
MuaazGulAwan.html
StevenAHofmeyr.html
StephanieForrest.html
Carole-JeanWu.html
http___dx.doi.org_10.1109_IISWC55918.2022.00025 http://dx.doi.org/10.1109/IISWC55918.2022.00025
Lipitakis:2019:CSCI Computational Science and Intelligence Programming in Business with Genetic, Generic Algorithms and AI Software Products: An Adaptive Algorithmic Approach
Anastasia-DimitraLipitakis.html
EvangeliaAECLipitakis.html
http___dx.doi.org_10.1109_CSCI49370.2019.00058 http://dx.doi.org/10.1109/CSCI49370.2019.00058
Lipson:2000:admrl Automatic design and manufacture of robotic lifeforms
HodLipson.html
JordanBPollack.html
http___dx.doi.org_10.1038_35023115 http://dx.doi.org/10.1038/35023115
lipson:2004:lbp How to Draw a Straight Line Using a GP: Benchmarking Evolutionary Design Against 19th Century Kinematic Synthesis
HodLipson.html
http___gpbib.cs.ucl.ac.uk_gecco2004_LBP063.pdf http://gpbib.cs.ucl.ac.uk/gecco2004/LBP063.pdf
DBLP:journals/aiedam/Lipson08 Evolutionary synthesis of kinematic mechanisms
HodLipson.html
http___dx.doi.org_10.1017_S0890060408000139 http://dx.doi.org/10.1017/S0890060408000139
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.375.5254 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.375.5254
http___creativemachines.cornell.edu_sites_default_files_AIEDAM08_Lipson.pdf http://creativemachines.cornell.edu/sites/default/files/AIEDAM08_Lipson.pdf
Lipson:book Fabricated: The New World of 3D Printing
HodLipson.html
MelbaKurman.html
http___www.amazon.com_Fabricated-The-New-World-Printing-ebook_dp_B00B9V5W34 http://www.amazon.com/Fabricated-The-New-World-Printing-ebook/dp/B00B9V5W34
Liskowski:2015:GECCOcomp Comparison of Semantic-aware Selection Methods in Genetic Programming
PawelLiskowski.html
KrzysztofKrawiec.html
ThomasHelmuth.html
LeeSpector.html
http___doi.acm.org_10.1145_2739482.2768505 http://doi.acm.org/10.1145/2739482.2768505
http___dx.doi.org_10.1145_2739482.2768505 http://dx.doi.org/10.1145/2739482.2768505
Liskowski:2016:GECCO Non-negative Matrix Factorization for Unsupervised Derivation of Search Objectives in Genetic Programming
PawelLiskowski.html
KrzysztofKrawiec.html
http___dx.doi.org_10.1145_2908812.2908888 http://dx.doi.org/10.1145/2908812.2908888
Liskowski:2016:EuroGP Surrogate Fitness via Factorization of Interaction Matrix
PawelLiskowski.html
KrzysztofKrawiec.html
http___dx.doi.org_10.1007_978-3-319-30668-1_5 http://dx.doi.org/10.1007/978-3-319-30668-1_5
Liskowski:2017:GECCO Discovery of Search Objectives in Continuous Domains
PawelLiskowski.html
KrzysztofKrawiec.html
http___doi.acm.org_10.1145_3071178.3071344 http://doi.acm.org/10.1145/3071178.3071344
http___dx.doi.org_10.1145_3071178.3071344 http://dx.doi.org/10.1145/3071178.3071344
Liskowski:2017:EC Online Discovery of Search Objectives for Test-Based Problems
PawelLiskowski.html
KrzysztofKrawiec.html
https___doi.org_10.1162_evco_a_00179 https://doi.org/10.1162/evco_a_00179
http___dx.doi.org_10.1162_evco_a_00179 http://dx.doi.org/10.1162/evco_a_00179
LiskowskiPhd2018 Heuristic Algorithms for Discovery of Search Objectives in Test-based Problems
PawelLiskowski.html
http___www.cs.put.poznan.pl_pliskowski_pub_phdthesis.pdf http://www.cs.put.poznan.pl/pliskowski/pub/phdthesis.pdf
Liskowski:2018:GECCOa Neuro-guided genetic programming: prioritizing evolutionary search with neural networks
PawelLiskowski.html
IwoBladek.html
KrzysztofKrawiec.html
http___dx.doi.org_10.1145_3205455.3205629 http://dx.doi.org/10.1145/3205455.3205629
Liskowski:2020:GECCO Program Synthesis as Latent Continuous Optimization: Evolutionary Search in Neural Embeddings
PawelLiskowski.html
KrzysztofKrawiec.html
NihatEnginToklu.html
JerrySwan.html
https___doi.org_10.1145_3377930.3390213 https://doi.org/10.1145/3377930.3390213
http___dx.doi.org_10.1145_3377930.3390213 http://dx.doi.org/10.1145/3377930.3390213
Liskowski:2020:PPSN Neuromemetic Evolutionary Optimization
PawelLiskowski.html
KrzysztofKrawiec.html
NihatEnginToklu.html
https___doi.org_10.1007_978-3-030-58112-1_43 https://doi.org/10.1007/978-3-030-58112-1_43
http___dx.doi.org_10.1007_978-3-030-58112-1_43 http://dx.doi.org/10.1007/978-3-030-58112-1_43
Lissovoi:2018:AAAI On the Time and Space Complexity of Genetic Programming for Evolving Boolean Conjunctions
AndreiLissovoi.html
PietroSOliveto.html
https___aaai.org_ocs_index.php_AAAI_AAAI18_paper_view_16145 https://aaai.org/ocs/index.php/AAAI/AAAI18/paper/view/16145
https___aaai.org_ocs_index.php_AAAI_AAAI18_paper_view_16145_15830.pdf https://aaai.org/ocs/index.php/AAAI/AAAI18/paper/view/16145/15830.pdf
Lissovoi:2018:arxiv Computational Complexity Analysis of Genetic Programming
AndreiLissovoi.html
PietroSOliveto.html
http___arxiv.org_abs_1811.04465 http://arxiv.org/abs/1811.04465
Lissovoi:2019:JAIR On the Time and Space Complexity of Genetic Programming for Evolving Boolean Conjunctions
AndreiLissovoi.html
PietroSOliveto.html
https___eprints.whiterose.ac.uk_154159_1_11821-Article_20_28PDF_29-22425-1-10-20191112.pdf https://eprints.whiterose.ac.uk/154159/1/11821-Article%20%28PDF%29-22425-1-10-20191112.pdf
https___www.jair.org_index.php_jair_article_view_11821_26536 https://www.jair.org/index.php/jair/article/view/11821/26536
http___dx.doi.org_10.1613_jair.1.11821 http://dx.doi.org/10.1613/jair.1.11821
Lissovoi:2019:theoryEC Computational Complexity Analysis of Genetic Programming
AndreiLissovoi.html
PietroSOliveto.html
https___arxiv.org_abs_1811.04465 https://arxiv.org/abs/1811.04465
https___doi.org_10.1007_978-3-030-29414-4_11 https://doi.org/10.1007/978-3-030-29414-4_11
http___dx.doi.org_10.1007_978-3-030-29414-4_11 http://dx.doi.org/10.1007/978-3-030-29414-4_11
Litvinenko:2005:IEEEIDAACSTA Combining Clonal Selection Algorithm and Gene Expression Programming for Time Series Prediction
VILitvinenko.html
PIBidjuk.html
JNBardachov.html
VGSherstjuk.html
AAFefelov.html
http___dx.doi.org_10.1109_IDAACS.2005.282956 http://dx.doi.org/10.1109/IDAACS.2005.282956
Litvinenko:IWIM:2007 The Combined Immune Algorithm Based on Clonal Selection
VILitvinenko.html
PIBidjuk.html
JNBardachov.html
AAFefelov.html
VGSherstjuk.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.383.8141 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.383.8141
http___www.gmdh.net_articles_iwim_IWIM_30.pdf http://www.gmdh.net/articles/iwim/IWIM_30.pdf
Liu:2022:ISCAS A Low Power DNN-based Speech Recognition Processor with Precision Recoverable Approximate Computing
BoLiu2.html
XueTaoWang.html
RenYuanZhang.html
AnFengXue.html
ZiyuWang.html
HaigeWu.html
HaoCai.html
http___dx.doi.org_10.1109_ISCAS48785.2022.9937896 http://dx.doi.org/10.1109/ISCAS48785.2022.9937896
LIU:2022:actamat Mechanical properties, failure mechanisms, and scaling laws of bicontinuous nanoporous metallic glasses
ChangLiu.html
SuyueYuan.html
JinwooIm.html
FelipeDeBarros.html
SamiFMasri.html
PauloSBranicio.html
http___dx.doi.org_10.1016_j.actamat.2022.118255 http://dx.doi.org/10.1016/j.actamat.2022.118255
https___www.sciencedirect.com_science_article_pii_S1359645422006358 https://www.sciencedirect.com/science/article/pii/S1359645422006358
Liu:2022:edMOGPsr Evolvability Degeneration in Multi-Objective Genetic Programming for Symbolic Regression
DazhuangLiu.html
MarcoVirgolin.html
TanjaAlderliesten.html
PeterANBosman.html
https___arxiv.org_abs_2202.06983 https://arxiv.org/abs/2202.06983
Liu:2022:GECCO Evolvability Degeneration in Multi-Objective Genetic Programming for Symbolic Regression
DazhuangLiu.html
MarcoVirgolin.html
TanjaAlderliesten.html
PeterANBosman.html
http___dx.doi.org_10.1145_3512290.3528787 http://dx.doi.org/10.1145/3512290.3528787
https___github.com_dzhliu_evoNSGA-II https://github.com/dzhliu/evoNSGA-II
doi:10.1080/0305215X.2015.1125262 Detailed design of a lattice composite fuselage structure by a mixed optimization method
DianziLiu.html
HeikeLohse-Busch.html
VassiliVToropov.html
ChristianHuehne.html
UmbertoArmani.html
https___ueaeprints.uea.ac.uk_id_eprint_56158_1_Detailed_design_of_a_lattice_composite_fuselage_structure_by_a_mixed_optimization_method_by_D_Liu_final.pdf https://ueaeprints.uea.ac.uk/id/eprint/56158/1/Detailed_design_of_a_lattice_composite_fuselage_structure_by_a_mixed_optimization_method_by_D_Liu_final.pdf
http___dx.doi.org_10.1080_0305215X.2015.1125262 http://dx.doi.org/10.1080/0305215X.2015.1125262
Liu:2010:cec A mixed-game and co-evolutionary genetic programming agent-based model of financial contagion
FangLiu.html
AntoanetaSerguieva.html
PareshDate.html
http___dx.doi.org_10.1109_CEC.2010.5586243 http://dx.doi.org/10.1109/CEC.2010.5586243
Fang_Liu:thesis Nature inspired computational intelligence for financial contagion modelling
FangLiu.html
http___bura.brunel.ac.uk_bitstream_2438_8208_1_FulltextThesis.pdf http://bura.brunel.ac.uk/bitstream/2438/8208/1/FulltextThesis.pdf
http___bura.brunel.ac.uk_handle_2438_8208 http://bura.brunel.ac.uk/handle/2438/8208
Liu:2010:CSO A Clustering System for Gene Expression Data Based upon Genetic Programming and the HS-Model
GuiquanLiu.html
XiufangJiang.html
LingyunWen.html
http___dx.doi.org_10.1109_CSO.2010.116 http://dx.doi.org/10.1109/CSO.2010.116
liu:2005:EH Intrinsic Evolvable Hardware Implementation of a Robust Biological Development Model for Digital Systems
HengLiu.html
JulianFMiller.html
AndrewMTyrrell.html
http___dx.doi.org_10.1109_EH.2005.32 http://dx.doi.org/10.1109/EH.2005.32
LIU:2019:CIE Estimation of mass matrix in machine tool's weak components research by using symbolic regression
HongqiLiu.html
HaiLin2.html
XuchuJiang.html
XinyongMao.html
QuanxinLiu.html
BinLi.html
http___dx.doi.org_10.1016_j.cie.2018.11.033 http://dx.doi.org/10.1016/j.cie.2018.11.033
http___www.sciencedirect.com_science_article_pii_S0360835218305734 http://www.sciencedirect.com/science/article/pii/S0360835218305734
liu:2003:gecco Multi-agent Learning of Heterogeneous Robots by Evolutionary Subsumption
HongweiLiu.html
HitoshiIba.html
http___www.iba.k.u-tokyo.ac.jp_papers_2003_lhwGECCO2003.pdf http://www.iba.k.u-tokyo.ac.jp/papers/2003/lhwGECCO2003.pdf
http___dx.doi.org_10.1007_3-540-45110-2_64 http://dx.doi.org/10.1007/3-540-45110-2_64
liu:2004:ahafahrc A Hierarchical Approach for Adaptive Humanoid Robot Control
HongweiLiu.html
HitoshiIba.html
http___www.iba.k.u-tokyo.ac.jp_papers_2004_lhwCEC2004.pdf http://www.iba.k.u-tokyo.ac.jp/papers/2004/lhwCEC2004.pdf
http___dx.doi.org_10.1109_CEC.2004.1331080 http://dx.doi.org/10.1109/CEC.2004.1331080
Liu:2004:aspgp An Evolution-Adapation Approach of Genetic Programming for Programming Humanoid Robot
HongweiLiu.html
HitoshiIba.html
liu:hrp:gecco2004 Humanoid Robot Programming Based on CBR Augmented GP
HongweiLiu.html
HitoshiIba.html
http___dx.doi.org_10.1007_b98645 http://dx.doi.org/10.1007/b98645
http___www.iba.k.u-tokyo.ac.jp_papers_2004_lhwGECCO2004.pdf http://www.iba.k.u-tokyo.ac.jp/papers/2004/lhwGECCO2004.pdf
Liu:2004:WOR:HLiu An Intrinsic Robust Transient Fault-Tolerant Developmental Model for Digital Systems
HengLiu.html
JulianFMiller.html
AndrewMTyrrell.html
http___gpbib.cs.ucl.ac.uk_gecco2004_WWOR005.pdf http://gpbib.cs.ucl.ac.uk/gecco2004/WWOR005.pdf
HengLiu:thesis Biological Development model for the design of Robust Digital System
HengLiu.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_HengLiu_thesis.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/HengLiu_thesis.pdf
journals/entropy/LiuJJ16 Intra-Day Trading System Design Based on the Integrated Model of Wavelet De-Noise and Genetic Programming
HongguangLiu.html
PingJi.html
JianJin2.html
http___dx.doi.org_10.3390_e18120435 http://dx.doi.org/10.3390/e18120435
Hongguang_Liu:thesis Multi-frequency analysis for high frequency trading
HongguangLiu.html
http___theses.lib.polyu.edu.hk_handle_200_8985 http://theses.lib.polyu.edu.hk/handle/200/8985
http___library.polyu.edu.hk_record_99102195 http://library.polyu.edu.hk/record=99102195
https___theses.lib.polyu.edu.hk_bitstream_200_8985_1_991021952843203411.pdf https://theses.lib.polyu.edu.hk/bitstream/200/8985/1/991021952843203411.pdf
Jia-Hong_Liu:thesis Portfolio Investment Based on Neural Networks
Jia-HongLiu.html
http___etd.lib.nsysu.edu.tw_ETD-db_ETD-search_view_etd_URN_etd-0621118-142449 http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0621118-142449
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Liu:2020:CEC Data-Driven Regular Expressions Evolution for Medical Text Classification Using Genetic Programming
JiandongLiu.html
RuibinBai.html
ZhengLu.html
PeimingGe.html
UweAickelin.html
DaoyunLiu.html
http___dx.doi.org_10.1109_CEC48606.2020.9185500 http://dx.doi.org/10.1109/CEC48606.2020.9185500
Liu:2008:ieeeIAS Bearing Fault Diagnostics Based on Reconstructed Features
JLiu.html
SGhafari.html
WWang.html
FaridMGolnaraghi.html
FathyMIsmail.html
http___dx.doi.org_10.1109_08IAS.2008.173 http://dx.doi.org/10.1109/08IAS.2008.173
DBLP:journals/robotica/LiuZ04 Multi-phase Sumo Maneuver Learning
JimingLiu.html
ShiwuZhang.html
http___dx.doi.org_10.1017_S0263574703005356 http://dx.doi.org/10.1017/S0263574703005356
LIU:2004:IJPRAI Multiphase Genetic Programming: A case Study in Sumo Maneuver Evolution
JimingLiu.html
ShiwuZhang.html
http___dx.doi.org_10.1142_S0218001404003319 http://dx.doi.org/10.1142/S0218001404003319
DBLP:conf/seal/LiuFZ08 Hybrid Genetic Programming for Optimal Approximation of High Order and Sparse Linear Systems
JingLiu.html
WenlongFu.html
WeicaiZhong.html
http___dx.doi.org_10.1007_978-3-540-89694-4_47 http://dx.doi.org/10.1007/978-3-540-89694-4_47
Liu:2010:ICECE Modeling Gene Regulatory Network Based on Genetic Programming
JingLiu2.html
AiguoWu.html
http___dx.doi.org_10.1109_iCECE.2010.1296 http://dx.doi.org/10.1109/iCECE.2010.1296
Liu:2019:SANER AVATAR: Fixing Semantic Bugs with Fix Patterns of Static Analysis Violations
KuiLiu.html
AnilKoyuncu.html
DongsunKim.html
TegawendeFBissyande.html
https___arxiv.org_abs_1812.07270 https://arxiv.org/abs/1812.07270
http___dx.doi.org_10.1109_SANER.2019.8667970 http://dx.doi.org/10.1109/SANER.2019.8667970
https___github.com_SerVal-DTF_AVATAR https://github.com/SerVal-DTF/AVATAR
Liu:2019:ISSTA TBar: Revisiting Template-Based Automated Program Repair
KuiLiu.html
AnilKoyuncu.html
DongsunKim.html
TegawendeFBissyande.html
https___arxiv.org_abs_1903.08409 https://arxiv.org/abs/1903.08409
http___dx.doi.org_10.1145_3293882.3330577 http://dx.doi.org/10.1145/3293882.3330577
https___github.com_SerVal-DTF_TBar https://github.com/SerVal-DTF/TBar
https___doi.org_10.5281_zenodo.3237378 https://doi.org/10.5281/zenodo.3237378
Kui_Liu:thesis Deep Pattern Mining for Program Repair
KuiLiu.html
https___orbilu.uni.lu_bitstream_10993_41348_1_thesis.pdf https://orbilu.uni.lu/bitstream/10993/41348/1/thesis.pdf
http___hdl.handle.net_10993_41348 http://hdl.handle.net/10993/41348
Liu:2009:B A genetic programming-based approach to the classification of multiclass microarray datasets
Kun-HongLiu.html
Chun-GuiXu.html
http___dx.doi.org_10.1093_bioinformatics_btn644 http://dx.doi.org/10.1093/bioinformatics/btn644
conf/icic/LiuTXZ14 Fusing Decision Trees Based on Genetic Programming for Classification of Microarray Datasets
Kun-HongLiu.html
MuChenxuanTong.html
Shu-TongXie.html
ZhiHaoZeng.html
http___dx.doi.org_10.1007_978-3-319-09339-0 http://dx.doi.org/10.1007/978-3-319-09339-0
Liu:2015:CMMM Genetic Programming Based Ensemble System for Microarray Data Classification
Kun-HongLiu.html
MuChenxuanTong.html
Shu-TongXie.html
VincentToYeeNg.html
http___www.ncbi.nlm.nih.gov_pmc_articles_PMC http://www.ncbi.nlm.nih.gov/pmc/articles/PMC
http___downloads.hindawi.com_journals_cmmm_2015_193406.pdf http://downloads.hindawi.com/journals/cmmm/2015/193406.pdf
http___dx.doi.org_10.1155_2015_193406 http://dx.doi.org/10.1155/2015/193406
Liu:2019:APJOR Simulation Optimization on Complex Job Shop Scheduling with Non-Identical Job Sizes
LingxuanLiu.html
LeyuanShi.html
http___www.worldscientific.com_doi_abs_10.1142_S021759591950026X http://www.worldscientific.com/doi/abs/10.1142/S021759591950026X
http___dx.doi.org_10.1142_S021759591950026X http://dx.doi.org/10.1142/S021759591950026X
liu:2022:Symmetry Automatic Design of Efficient Heuristics for Two-Stage Hybrid Flow Shop Scheduling
LingxuanLiu.html
LeyuanShi.html
https___www.mdpi.com_2073-8994_14_4_632 https://www.mdpi.com/2073-8994/14/4/632
http___dx.doi.org_10.3390_sym14040632 http://dx.doi.org/10.3390/sym14040632
Liu2009S126 Modeling and optimization of mixing performance for enhanced hyaluronic acid production by Streptococcus zooepidemicus using genetic programming coupling quantum-behaved particle swarm optimization algorithm
LongLiu.html
JunSun.html
MiaoWang.html
GuochengDu.html
JianChen.html
http___dx.doi.org_10.1016_j.jbiosc.2009.08.368 http://dx.doi.org/10.1016/j.jbiosc.2009.08.368
http___www.sciencedirect.com_science_article_B6VSD-4XHM1DM-DH_2_c3e7c20090de04d58b8f66e53d63b264 http://www.sciencedirect.com/science/article/B6VSD-4XHM1DM-DH/2/c3e7c20090de04d58b8f66e53d63b264
Liu:2010:ICNC A gene expression programming algorithm for multiobjective site-search problem
MengweiLiu.html
XiaLi.html
TaoLiu.html
DanLi.html
ZhengLin.html
http___dx.doi.org_10.1109_ICNC.2010.5582975 http://dx.doi.org/10.1109/ICNC.2010.5582975
conf/icnc/LiuZYPY13 Classifying remote sensing image using Gene Expression Programming algorithms
MengweiLiu.html
GuanghongZeng.html
GuohuiYuan.html
YaboPei.html
ZiliYang.html
http___dx.doi.org_10.1109_ICNC.2013.6818013 http://dx.doi.org/10.1109/ICNC.2013.6818013
LIU:2020:AWR A genetic programming-based model for drag coefficient of emergent vegetation in open channel flows
Meng-YangLiu.html
Wen-XinHuai.html
Zhong-HuaYang.html
Yu-HongZeng.html
http___dx.doi.org_10.1016_j.advwatres.2020.103582 http://dx.doi.org/10.1016/j.advwatres.2020.103582
http___www.sciencedirect.com_science_article_pii_S0309170819302222 http://www.sciencedirect.com/science/article/pii/S0309170819302222
Liu:2009:IJMS Current Mathematical Methods Used in QSAR/QSPR Studies
PeixunLiu.html
WeiLong.html
http___www.mdpi.com_1422-0067_10_5_1978_pdf http://www.mdpi.com/1422-0067/10/5/1978/pdf
http___dx.doi.org_10.3390_ijms10051978 http://dx.doi.org/10.3390/ijms10051978
http___www.mdpi.com_1422-0067_10_5_1978_ http://www.mdpi.com/1422-0067/10/5/1978/
liu:1998:SRCUGP Solving the Rubik's Cube Using Genetic Programming
RichardLiu.html
conf/seal/LiuLLJ10 A Population Diversity-Oriented Gene Expression Programming for Function Finding
RuochenLiu.html
QifengLei.html
JingLiu.html
LichengJiao.html
http___dx.doi.org_10.1007_978-3-642-17298-4 http://dx.doi.org/10.1007/978-3-642-17298-4
conf/iconip/LiuXL17 Shape-Based Image Retrieval Based on Improved Genetic Programming
RuochenLiu.html
GuanXia.html
JianxiaLi.html
http___dx.doi.org_10.1007_978-3-319-70093-9_22 http://dx.doi.org/10.1007/978-3-319-70093-9_22
DBLP:journals/tinstmc/LiuAY18 A new two-stage genetic programming classification algorithm and its applications
RuochenLiu.html
LijiaAn.html
XinYu.html
https___doi.org_10.1177_0142331217707362 https://doi.org/10.1177/0142331217707362
http___dx.doi.org_10.1177_0142331217707362 http://dx.doi.org/10.1177/0142331217707362
https___dblp.org_rec_journals_tinstmc_LiuAY18.bib https://dblp.org/rec/journals/tinstmc/LiuAY18.bib
Liu:2008:CCDC Application of Genetic Programming in credit scoring
Shu-anLiu.html
QingWang.html
ShuaiLv.html
http___dx.doi.org_10.1109_CCDC.2008.4597485 http://dx.doi.org/10.1109/CCDC.2008.4597485
Liu:2010:ieeeICCI Multi-kernel SVM based star pattern recognition for Celestial Navigation
TaiyangLiu.html
ShichengWang.html
ZhiguoLiu.html
HaiboMin.html
RenbingLi.html
http___dx.doi.org_10.1109_COGINF.2010.5599814 http://dx.doi.org/10.1109/COGINF.2010.5599814
Liu:2020:ACC Information Fusion in Offspring Generation: A Case Study in Gene Expression Programming
TonglinLiu.html
HengzheZhang.html
HuZhang.html
AiminZhou.html
http___dx.doi.org_10.1109_ACCESS.2020.2988587 http://dx.doi.org/10.1109/ACCESS.2020.2988587
10.1109/IPDPS.2005.2 A Case Study on Pattern-Based Systems for High Performance Computational Biology
WeiguoLiu.html
BertilSchmidt.html
http___www.hicomb.org_papers_HICOMB2005-04.pdf http://www.hicomb.org/papers/HICOMB2005-04.pdf
http___dx.doi.org_10.1109_IPDPS.2005.2 http://dx.doi.org/10.1109/IPDPS.2005.2
Weiguo_Liu:thesis Parallel and distributed algorithms for computational biology
WeiguoLiu.html
http___hdl.handle.net_10356_2474 http://hdl.handle.net/10356/2474
Liu:2006:ITIS Mapping of Hierarchical Parallel Genetic Algorithms for Protein Folding onto Computational Grids
WeiguoLiu.html
BertilSchmidt.html
http___dx.doi.org_10.1093_ietisy_e89-d.2.589 http://dx.doi.org/10.1093/ietisy/e89-d.2.589
Liu:2008:ITME A differential evolutionary architecture for artificial neural trees with applications to medical data mining
XiyuLiu.html
YinghongMa.html
HongLiu.html
JianpingZhang.html
http___dx.doi.org_10.1109_ITME.2008.4743969 http://dx.doi.org/10.1109/ITME.2008.4743969
conf/icic/LiuEP07 Application of Gene Expression Programming in the Reliability of Consecutive-k-out-of-n: F Systems with Identical Component Reliabilities
YanchaoLiu.html
JohnREnglish.html
EdwardAPohl.html
http___dx.doi.org_10.1007_978-3-540-74282-1_25 http://dx.doi.org/10.1007/978-3-540-74282-1_25
Liu:2011:EuroGP A Self-Scaling Instruction Generator Using Cartesian Genetic Programming
YangLiu.html
GianlucaTempesti.html
JamesAlfredWalker.html
JonTimmis.html
AndrewMTyrrell.html
PaulBremner.html
http___dx.doi.org_10.1007_978-3-642-20407-4_26 http://dx.doi.org/10.1007/978-3-642-20407-4_26
Liu:2001:HASE Genetic programming model for software quality classification
YiLiu.html
TaghiMKhoshgoftaar.html
http___dx.doi.org_10.1109_HASE.2001.966814 http://dx.doi.org/10.1109/HASE.2001.966814
liu2:2003:gecco Building Decision Tree Software Quality Classification Models Using Genetic Programming
YiLiu.html
TaghiMKhoshgoftaar.html
http___dx.doi.org_10.1007_3-540-45110-2_75 http://dx.doi.org/10.1007/3-540-45110-2_75
YiLiu:thesis Software Reliability Engineering with Genetic Programming
YiLiu.html
http___search.proquest.com_docview_305323504 http://search.proquest.com/docview/305323504
liu:2004:rogp Reducing overfitting in genetic programming models for software quality classification
YiLiu.html
TaghiMKhoshgoftaar.html
http___dx.doi.org_10.1109_HASE.2004.1281730 http://dx.doi.org/10.1109/HASE.2004.1281730
http___dx.doi.org_10.1109_HASE.2004.1281730 http://dx.doi.org/10.1109/HASE.2004.1281730
conf/iri/LiuKY06 Developing an effective validation strategy for genetic programming models based on multiple datasets
YiLiu.html
TaghiMKhoshgoftaar.html
Jenq-FoungYao.html
http___dx.doi.org_10.1109_IRI.2006.252418 http://dx.doi.org/10.1109/IRI.2006.252418
Liu:2010:ieeeTSE Evolutionary Optimization of Software Quality Modeling with Multiple Repositories
YiLiu.html
TaghiMKhoshgoftaar.html
JimSeliya.html
http___dx.doi.org_10.1109_TSE.2010.51 http://dx.doi.org/10.1109/TSE.2010.51
BMVC.26.18 Genetic Programming-Evolved Spatio-Temporal Descriptor for Human Action Recognition
LiLiu.html
LingShao.html
PeterIRockett.html
http___www.bmva.org_bmvc_2012_BMVC_paper018_paper018.pdf http://www.bmva.org/bmvc/2012/BMVC/paper018/paper018.pdf
http___www.bmva.org_bmvc_2012_BMVC_paper018_index.html http://www.bmva.org/bmvc/2012/BMVC/paper018/index.html
http___dx.doi.org_10.5244_C.26.18 http://dx.doi.org/10.5244/C.26.18
Liu:2013:ieeeFG Synthesis of spatio-temporal descriptors for dynamic hand gesture recognition using genetic programming
LiLiu.html
LingShao.html
http___dx.doi.org_10.1109_FG.2013.6553765 http://dx.doi.org/10.1109/FG.2013.6553765
conf/mm/LiuSL13 Building holistic descriptors for scene recognition: a multi-objective genetic programming approach
LiLiu.html
LingShao.html
XuelongLi.html
http___dl.acm.org_citation.cfm_id_2502081 http://dl.acm.org/citation.cfm?id=2502081
http___doi.acm.org_10.1145_2502081.2502095 http://doi.acm.org/10.1145/2502081.2502095
http___dx.doi.org_10.1145_2502081.2502095 http://dx.doi.org/10.1145/2502081.2502095
Liu:2013:IJCAI Learning Discriminative Representations from RGB-D Video Data
LiLiu.html
LingShao.html
http___dl.acm.org_citation.cfm_id_2540128.2540343 http://dl.acm.org/citation.cfm?id=2540128.2540343
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.417.4472 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.417.4472
http___ijcai.org_papers13_Papers_IJCAI13-223.pdf http://ijcai.org/papers13/Papers/IJCAI13-223.pdf
thesis_liuli Learning Discriminative Feature Representations for Visual Categorization
LiLiu.html
http___etheses.whiterose.ac.uk_8239_1_thesis_liuli.pdf http://etheses.whiterose.ac.uk/8239/1/thesis_liuli.pdf
http___etheses.whiterose.ac.uk_8239_ http://etheses.whiterose.ac.uk/8239/
Liu:2015:Cybernetics Learning Spatio-Temporal Representations for Action Recognition: A Genetic Programming Approach
LiLiu.html
LingShao.html
XuelongLi.html
KeLu.html
http___dx.doi.org_10.1109_TCYB.2015.2399172 http://dx.doi.org/10.1109/TCYB.2015.2399172
Liu:2015:ieeeNNLS Sequential Compact Code Learning for Unsupervised Image Hashing
LiLiu.html
LingShao.html
http___dx.doi.org_10.1109_TNNLS.2015.2495345 http://dx.doi.org/10.1109/TNNLS.2015.2495345
Liu:2014:IS Evolutionary compact embedding for large-scale image classification
LiLiu.html
LingShao.html
XuelongLi.html
http___dx.doi.org_10.1016_j.ins.2014.06.030 http://dx.doi.org/10.1016/j.ins.2014.06.030
http___www.sciencedirect.com_science_article_pii_S0020025514006586 http://www.sciencedirect.com/science/article/pii/S0020025514006586
LIU:2021:JCP Predicting the effective diffusivity across the sediment-water interface in rivers
Meng-YangLiu.html
Wen-XinHuai.html
BinChen.html
http___dx.doi.org_10.1016_j.jclepro.2021.126085 http://dx.doi.org/10.1016/j.jclepro.2021.126085
https___www.sciencedirect.com_science_article_pii_S095965262100305X https://www.sciencedirect.com/science/article/pii/S095965262100305X
liu:CIS Evolutionary convolutional neural network for image classification based on multi-objective genetic programming with leader-follower mechanism
QingqingLiu.html
XianpengWang.html
YaoWang.html
XiangmanSong.html
http___link.springer.com_article_10.1007_s40747-022-00919-y http://link.springer.com/article/10.1007/s40747-022-00919-y
http___dx.doi.org_10.1007_s40747-022-00919-y http://dx.doi.org/10.1007/s40747-022-00919-y
liu:2021:CIS Genetic programming with separability detection for symbolic regression
WeiliLiu.html
JiaquanYang.html
JinghuiZhong.html
ShibinWang.html
http___link.springer.com_article_10.1007_s40747-020-00240-6 http://link.springer.com/article/10.1007/s40747-020-00240-6
http___dx.doi.org_10.1007_s40747-020-00240-6 http://dx.doi.org/10.1007/s40747-020-00240-6
liu:2019:WRM A Recursive Approach to Long-Term Prediction of Monthly Precipitation Using Genetic Programming
SuningLiu.html
HaiyunShi.html
http___link.springer.com_article_10.1007_s11269-018-2169-0 http://link.springer.com/article/10.1007/s11269-018-2169-0
http___dx.doi.org_10.1007_s11269-018-2169-0 http://dx.doi.org/10.1007/s11269-018-2169-0
Liu:2015:Energy Prediction, parametric analysis and bi-objective optimization of waste heat utilization in sinter cooling bed using evolutionary algorithm
FionaYanLiu.html
JianYang.html
Jing-yuWang.html
Xu-gangDing.html
Zhi-longCheng.html
Qiu-wangWang.html
http___dx.doi.org_10.1016_j.energy.2015.05.120 http://dx.doi.org/10.1016/j.energy.2015.05.120
http___www.sciencedirect.com_science_article_pii_S0360544215007422 http://www.sciencedirect.com/science/article/pii/S0360544215007422
Liu:2003:JIT Three-dimensional Garment Computer Aided Intelligent Design
YanLiu2.html
Zhao-fengGeng.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.1030.2669 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.1030.2669
http___jit.sagepub.com_content_33_1_43.full.pdf http://jit.sagepub.com/content/33/1/43.full.pdf
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http___dx.doi.org_10.1177_1528083703035505 http://dx.doi.org/10.1177/1528083703035505
Liu:2017:CJE A Compact Implementation of AES S-Box Using Evolutionary Algorithm
YaopingLiu.html
NingWu.html
XiaoqiangZhang.html
FangZhou.html
FenGe.html
http___dx.doi.org_10.1049_cje.2016.08.021 http://dx.doi.org/10.1049/cje.2016.08.021
Liu:2016:CEC Integration of Code-Fragment based Learning Classifier Systems for Multiple Domain Perception and Learning
YiLiu2.html
MuhammadIqbal.html
IsidroAlvarez.html
WillNBrowne.html
http___dx.doi.org_10.1109_CEC.2016.7744057 http://dx.doi.org/10.1109/CEC.2016.7744057
Liu:2018:evoApplications Adapting Bagging and Boosting to Learning Classifier Systems
YiLiu2.html
WillNBrowne.html
BingXue.html
http___dx.doi.org_10.1007_978-3-319-77538-8_28 http://dx.doi.org/10.1007/978-3-319-77538-8_28
LIU:2021:CS Understanding mixed mode ratio of adhesively bonded joints using genetic programming (GP)
YidingLiu.html
ZewenGu.html
DarrenJHughes.html
JianqiaoYe.html
XiaonanHou.html
http___dx.doi.org_10.1016_j.compstruct.2020.113389 http://dx.doi.org/10.1016/j.compstruct.2020.113389
https___www.sciencedirect.com_science_article_pii_S0263822320333158 https://www.sciencedirect.com/science/article/pii/S0263822320333158
Yun_Liu:ieeeTEC Evolutionary Trainer-Based Deep Q-Network for Dynamic Flexible Job Shop Scheduling
YunLiu.html
FangfangZhang.html
YananSun.html
MengjieZhang.html
https___github.com_fangfang-zhang_fangfang-zhang.github.io_blob_main_files_2024-Evolutionary_Trainer-Based_Deep_Q-Network_for_DFJSS.pdf https://github.com/fangfang-zhang/fangfang-zhang.github.io/blob/main/files/2024-Evolutionary_Trainer-Based_Deep_Q-Network_for_DFJSS.pdf
https___ieeexplore.ieee.org_document_10439992 https://ieeexplore.ieee.org/document/10439992
https___github.com_liuyun0314_ETDQN https://github.com/liuyun0314/ETDQN
http___dx.doi.org_10.1109_TEVC.2024.3367181 http://dx.doi.org/10.1109/TEVC.2024.3367181
Liu:2017:GECCOb Automated Heuristic Design Using Genetic Programming Hyper-heuristic for Uncertain Capacitated Arc Routing Problem
YuxinLiu.html
YiMei.html
MengjieZhang.html
ZiliZhang.html
http___doi.acm.org_10.1145_3071178.3071185 http://doi.acm.org/10.1145/3071178.3071185
http___dx.doi.org_10.1145_3071178.3071185 http://dx.doi.org/10.1145/3071178.3071185
Liu:EC:00256 A Predictive-Reactive Approach with Genetic Programming and Cooperative Co-evolution for Uncertain Capacitated Arc Routing Problem
YuxinLiu.html
YiMei.html
MengjieZhang.html
ZiliZhang.html
http___dx.doi.org_10.1162_evco_a_00256 http://dx.doi.org/10.1162/evco_a_00256
DBLP:journals/connection/LiuMHG22 A feature selection method with feature ranking using genetic programming
GuopengLiu.html
JianbinMa.html
TongleHu.html
Xiaoying_Sharon_Gao.html
https___doi.org_10.1080_09540091.2022.2049702 https://doi.org/10.1080/09540091.2022.2049702
http___dx.doi.org_10.1080_09540091.2022.2049702 http://dx.doi.org/10.1080/09540091.2022.2049702
https___dblp.org_rec_journals_connection_LiuMHG22.bib https://dblp.org/rec/journals/connection/LiuMHG22.bib
Liu:2023:ICTIS Optimization of ship command and dispatch in the waters between the three gorges dams based on GP algorithm
QingLiu.html
ZhuofengTang.html
ZheCong.html
LeiWang.html
http___dx.doi.org_10.1109_ICTIS60134.2023.10243931 http://dx.doi.org/10.1109/ICTIS60134.2023.10243931
Liventsev:2021:GECCOcomp Neurogenetic Programming Framework for Explainable Reinforcement Learning
VadimLiventsev.html
AkiHarma.html
MilanPetkovic.html
http___dx.doi.org_10.1145_3449726.3459537 http://dx.doi.org/10.1145/3449726.3459537
Liventsev:2023:GECCO Fully Autonomous Programming with Large Language Models
VadimLiventsev.html
AnastasiiaGrishina.html
AkiHarma.html
LeonMoonen.html
https___human-competitive.org_sites_default_files_grishinaentry.txt https://human-competitive.org/sites/default/files/grishinaentry.txt
https___human-competitive.org_sites_default_files_fullyautonomousprogrammingwithlargelanguagemodels.pdf https://human-competitive.org/sites/default/files/fullyautonomousprogrammingwithlargelanguagemodels.pdf
http___dx.doi.org_10.1145_3583131.3590481 http://dx.doi.org/10.1145/3583131.3590481
lo:1998:GMSASSARL Genetically-Evolved Mastermind Strategy: A Self-Simplifying Symbolic Approach to Reinforcement Learning
PaulCKLo.html
Lo:2010:gecco Challenges rising from learning motif evaluation functions using genetic programming
_Peter_Leung-YauLo.html
Tak-MingChan.html
Kin-HongLee.html
Kwong-SakLeung.html
http___dx.doi.org_10.1145_1830483.1830515 http://dx.doi.org/10.1145/1830483.1830515
Lobao:2016:CEC Genetic Programming and Automatic Differentiation Algorithms Applied to the Solution of Ordinary and Partial Differential Equation
WaldirJALobao.html
DouglasMotaDias.html
MarcoAurelioCavalcantiPacheco.html
http___dx.doi.org_10.1109_CEC.2016.7748362 http://dx.doi.org/10.1109/CEC.2016.7748362
Lobos2019 Visualizing Products and Consumers: A Gestalt Theory Inspired Method
ClaudioSanhuezaLobos.html
NatalieJanedeVries.html
MarioInostroza-Ponta.html
ReginaBerretta.html
PabloMoscato.html
http___dx.doi.org_10.1007_978-3-030-06222-4_16 http://dx.doi.org/10.1007/978-3-030-06222-4_16
lodding:2004:queue Hitchhiker's Guide to Biomorphic Software
KennethNLodding.html
http___queue.acm.org_detail.cfm_id_1016985 http://queue.acm.org/detail.cfm?id=1016985
http___dx.doi.org_10.1145_1016978.1016985 http://dx.doi.org/10.1145/1016978.1016985
DBLP:conf/isda/LoeblR18 Continuous Cartesian Genetic Programming with Particle Swarm Optimization
JaroslavLoebl.html
VieraRozinajova.html
https___doi.org_10.1007_978-3-030-16660-1_96 https://doi.org/10.1007/978-3-030-16660-1_96
http___dx.doi.org_10.1007_978-3-030-16660-1_96 http://dx.doi.org/10.1007/978-3-030-16660-1_96
https___dblp.org_rec_conf_isda_LoeblR18.bib https://dblp.org/rec/conf/isda/LoeblR18.bib
Loeckx:2009:EMC A novel EMI-immune Current Mirror Topology obtained by Genetic Evolution
JohanLoeckx.html
ThomasDeman.html
TrentMcConaghy.html
GeorgesGEGielen.html
Loeckx:2009:EL EMI-immune analogue circuit generated through genetic evolution
JohanLoeckx.html
ThomasDeman.html
TrentMcConaghy.html
GeorgesGEGielen.html
http___dx.doi.org_10.1049_el_20092828 http://dx.doi.org/10.1049/el:20092828
Loginov:evoapps13 On the Utility of Trading Criteria Based Retraining in Forex Markets
AlexanderLoginov.html
MalcolmHeywood.html
http___dx.doi.org_10.1007_978-3-642-37192-9_20 http://dx.doi.org/10.1007/978-3-642-37192-9_20
Loginov:2013:GECCO On the impact of streaming interface heuristics on GP trading agents: an FX benchmarking study
AlexanderLoginov.html
MalcolmHeywood.html
http___dx.doi.org_10.1145_2463372.2463522 http://dx.doi.org/10.1145/2463372.2463522
Loginov:2015:CEC Better Trade Exits for Foreign Exchange Currency Trading using FXGP
AlexanderLoginov.html
GarnettCarlWilson.html
MalcolmHeywood.html
http___dx.doi.org_10.1109_CEC.2015.7257197 http://dx.doi.org/10.1109/CEC.2015.7257197
Loginov:2016:IJCNN Benchmarking a Coevolutionary Streaming Classifier under the Individual Household Electric Power Consumption Dataset
AlexanderLoginov.html
MalcolmHeywood.html
GarnettCarlWilson.html
http___dx.doi.org_10.1109_IJCNN.2016.7727557 http://dx.doi.org/10.1109/IJCNN.2016.7727557
LOGINOV:2020:TNAJEF On the different impacts of fixed versus floating bid-ask spreads on an automated intraday stock trading
AlexanderLoginov.html
MalcolmHeywood.html
http___dx.doi.org_10.1016_j.najef.2020.101247 http://dx.doi.org/10.1016/j.najef.2020.101247
http___www.sciencedirect.com_science_article_pii_S1062940820301443 http://www.sciencedirect.com/science/article/pii/S1062940820301443
Loginov:thesis On increasing the scope of Genetic Programming trading agents
AlexanderLoginov.html
https___web.cs.dal.ca__mheywood_Thesis_PhD.html https://web.cs.dal.ca/~mheywood/Thesis/PhD.html
http___hdl.handle.net_10222_79491 http://hdl.handle.net/10222/79491
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Loginov:GPEM Stock selection heuristics for performing frequent intraday trading with genetic programming
AlexanderLoginov.html
MalcolmHeywood.html
GarnettCarlWilson.html
http___dx.doi.org_10.1007_s10710-020-09390-5 http://dx.doi.org/10.1007/s10710-020-09390-5
lohn:2004:GPTP An Evolved Antenna for Deployment on Nasa's Space Technology 5 Mission
JasonLohn.html
GregorySHornby.html
DerekSLinden.html
http___dx.doi.org_10.1007_0-387-23254-0_18 http://dx.doi.org/10.1007/0-387-23254-0_18
lohn:2005:GPTP Rapid Re-evolution of an X-Band Antenna for NASA's Space Technology 5 Mission
JasonLohn.html
GregorySHornby.html
DerekSLinden.html
http___dx.doi.org_10.1007_0-387-28111-8_5 http://dx.doi.org/10.1007/0-387-28111-8_5
Lohn:2006:iCIm Evolvable Hardware Using Evolutionary Computation to Design and Optimize Hardware Systems
JasonLohn.html
GregorySHornby.html
http___dx.doi.org_10.1109_MCI.2006.1597058 http://dx.doi.org/10.1109/MCI.2006.1597058
DBLP:journals/aiedam/LohnHL08 Human-competitive evolved antennas
JasonLohn.html
GregorySHornby.html
DerekSLinden.html
http___dx.doi.org_10.1017_S0890060408000164 http://dx.doi.org/10.1017/S0890060408000164
Lohpetch:2009:NaBIC Discovering effective technical trading rules with genetic programming: towards robustly outperforming buy-and-hold
DomeLohpetch.html
DavidWCorne.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.457.845 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.457.845
https___www.macs.hw.ac.uk__dwcorne_lohpetchnabic.pdf https://www.macs.hw.ac.uk/~dwcorne/lohpetchnabic.pdf
http___dx.doi.org_10.1109_NABIC.2009.5393324 http://dx.doi.org/10.1109/NABIC.2009.5393324
Lohpetch:2010:EvoFIN Outperforming Buy-and-Hold with Evolved Technical Trading Rules: Daily, Weekly and Monthly Trading
DomeLohpetch.html
DavidWCorne.html
http___dx.doi.org_10.1007_978-3-642-12242-2_18 http://dx.doi.org/10.1007/978-3-642-12242-2_18
Lohpetch:2011:MAfFTMOS Multiobjective Algorithms for Financial Trading Multiobjective Out-trades Single-Objective
DomeLohpetch.html
DavidWCorne.html
http___dx.doi.org_10.1109_CEC.2011.5949618 http://dx.doi.org/10.1109/CEC.2011.5949618
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.477.3567 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.477.3567
http___www.macs.hw.ac.uk__dwcorne_dldccec11.pdf http://www.macs.hw.ac.uk/~dwcorne/dldccec11.pdf
Lohpetch:thesis Evolutionary algorithms for financial trading
DomeLohpetch.html
http___www.ros.hw.ac.uk_bitstream_handle_10399_2510_LohpetchD_1111_macs.pdf http://www.ros.hw.ac.uk/bitstream/handle/10399/2510/LohpetchD_1111_macs.pdf
http___hdl.handle.net_10399_2510 http://hdl.handle.net/10399/2510
lohr:2002:PCM The Programming Gene
SteveLohr.html
http___www.pcmag.com_article2_0_4149_429437_00.asp http://www.pcmag.com/article2/0,4149,429437,00.asp
Armani_2013 Parametric Optimization of a Lattice Aircraft Fuselage Barrel Using Metamodels Built with Genetic Programming
HeikeLohse-Busch.html
ChristianHuehne.html
DianziLiu.html
VassiliVToropov.html
UmbertoArmani.html
http___www.ctresources.info_ccp_paper.html_id_7563 http://www.ctresources.info/ccp/paper.html?id=7563
http___dx.doi.org_10.4203_ccp.102.230 http://dx.doi.org/10.4203/ccp.102.230
Loiacono_2012_sigevolution GECCO-2013 Competitions
DanieleLoiacono.html
http___www.sigevolution.org_issues_pdf_SIGEVOlution0602.pdf http://www.sigevolution.org/issues/pdf/SIGEVOlution0602.pdf
Loiacono:2014:GPEM Gene I. Sher: Handbook of neuroevolution through Erlang
DanieleLoiacono.html
http___dx.doi.org_10.1007_s10710-013-9197-6 http://dx.doi.org/10.1007/s10710-013-9197-6
Loiacono:2014:GPEMa Special issue on GECCO competitions
DanieleLoiacono.html
MosheSipper.html
http___dx.doi.org_10.1007_s10710-014-9226-0 http://dx.doi.org/10.1007/s10710-014-9226-0
loizides:2001:wsc6 Measuring Facial Emotional Expressions Using Genetic Programming
AndreasLoizides.html
MelSlater.html
WilliamBLangdon.html
http___www.cs.ucl.ac.uk_staff_a.loizides_wsc6.pdf http://www.cs.ucl.ac.uk/staff/a.loizides/wsc6.pdf
http___citeseer.ist.psu.edu_474911.html http://citeseer.ist.psu.edu/474911.html
https___link.springer.com_book_10.1007_978-1-4471-0123-9 https://link.springer.com/book/10.1007/978-1-4471-0123-9
http___www.amazon.co.uk_Soft-Computing-Industry-Recent-Applications_dp_1852335394 http://www.amazon.co.uk/Soft-Computing-Industry-Recent-Applications/dp/1852335394
Lombardo:2023:EPJ Universal Models for Heavy-Ion Fusion Cross Section Above-Barrier
IvanoLombardo.html
DanieleDell'Aquila.html
BrunildeGnoffo.html
LuigiRedigolo.html
FrancescoPorto.html
MarcoRusso.html
https___www.epj-conferences.org_articles_epjconf_pdf_2023_16_epjconf_eunpc2023_02017.pdf https://www.epj-conferences.org/articles/epjconf/pdf/2023/16/epjconf_eunpc2023_02017.pdf
http___dx.doi.org_10.1051_epjconf_202329002017 http://dx.doi.org/10.1051/epjconf/202329002017
Lombrana-Gonzalez:2007:MAEB Estudio experimental del tamano de los individuos en Programacion Genetica
DanielLombranaGonzalezRodriguez.html
FranciscoFernandezdeVega.html
https___dialnet.unirioja.es_servlet_articulo_codigo_4148370 https://dialnet.unirioja.es/servlet/articulo?codigo=4148370
Londhe:2008:OCEANS Development Of Wave Buoy Network Using Soft Computing Techniques
SNLondhe.html
http___dx.doi.org_10.1109_OCEANSKOBE.2008.4530913 http://dx.doi.org/10.1109/OCEANSKOBE.2008.4530913
Londhe20081080 Soft computing approach for real-time estimation of missing wave heights
SNLondhe.html
http___dx.doi.org_10.1016_j.oceaneng.2008.05.003 http://dx.doi.org/10.1016/j.oceaneng.2008.05.003
Londhe:2010:HSJ Comparison of data-driven modelling techniques for river flow forecasting
SNLondhe.html
SBCharhate.html
http___dx.doi.org_10.1080_02626667.2010.512867 http://dx.doi.org/10.1080/02626667.2010.512867
Londhe:2012:GPnew Genetic Programming: A Novel Computing Approach in Modeling Water Flows
SNLondhe.html
PradnyaRDixit.html
http___dx.doi.org_10.5772_48179 http://dx.doi.org/10.5772/48179
Londhe:2015:PE Application of Geno-wavelet Technique to Improve the Location Specific Wave Forecasts
SNLondhe.html
PradnyaRDixit.html
ShwetaNarkhede.html
http___dx.doi.org_10.1016_j.proeng.2015.08.388 http://dx.doi.org/10.1016/j.proeng.2015.08.388
http___www.sciencedirect.com_science_article_pii_S1877705815020433 http://www.sciencedirect.com/science/article/pii/S1877705815020433
LONDHE:2021:JBE Predicting carbonation coefficient using Artificial neural networks and genetic programming
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PreetiSKulkarni.html
PradnyaRDixit.html
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RNeves.html
JorgeManuelCalicoLopesdeBrito.html
http___dx.doi.org_10.1016_j.jobe.2021.102258 http://dx.doi.org/10.1016/j.jobe.2021.102258
https___www.sciencedirect.com_science_article_pii_S2352710221001145 https://www.sciencedirect.com/science/article/pii/S2352710221001145
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SNLondhe.html
PreetiSKulkarni.html
PradnyaRDixit.html
AnaSilva.html
RuiNevesMadeira.html
JorgeManuelCalicoLopesdeBrito.html
https___www.mdpi.com_2076-3417_12_8_3874 https://www.mdpi.com/2076-3417/12/8/3874
http___dx.doi.org_10.3390_app12083874 http://dx.doi.org/10.3390/app12083874
Londt:2021:evoapplications Evolving Character-Level DenseNet Architectures using Genetic Programming
TrevorLondt.html
Xiaoying_Sharon_Gao.html
PeterAndreae.html
https___arxiv.org_abs_2012.02327 https://arxiv.org/abs/2012.02327
http___dx.doi.org_10.1007_978-3-030-72699-7_42 http://dx.doi.org/10.1007/978-3-030-72699-7_42
LonTyr01 Enzyme Genetic Programming
MichaelALones.html
AndrewMTyrrell.html
http___folk.ntnu.no_lones_lones-cec2001.pdf http://folk.ntnu.no/lones/lones-cec2001.pdf
http___dx.doi.org_10.1109_CEC.2001.934325 http://dx.doi.org/10.1109/CEC.2001.934325
lones:2001:brgp Biomimetic Representation in Genetic Programming
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http___folk.ntnu.no_lones_lones-gecco2001a.pdf http://folk.ntnu.no/lones/lones-gecco2001a.pdf
lones:2001:pgp Pathways into Genetic Programming
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http___folk.ntnu.no_lones_lones-gecco2001b.pdf http://folk.ntnu.no/lones/lones-gecco2001b.pdf
lones:2002:GPEM Biomimetic Representation with Genetic Programming Enzyme
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http___dx.doi.org_10.1023_A_1015583926171 http://dx.doi.org/10.1023/A:1015583926171
http___link.springer.com_article_10.1023_A_3A1020161122012 http://link.springer.com/article/10.1023/A%3A1020161122012
http___dx.doi.org_10.1023_A_1020161122012 http://dx.doi.org/10.1023/A:1020161122012
lones:2002:cabitfmoegp Crossover and Bloat in the Functionality Model of Enzyme Genetic Programming
MichaelALones.html
AndrewMTyrrell.html
http___folk.ntnu.no_lones_lones-cec2002.pdf http://folk.ntnu.no/lones/lones-cec2002.pdf
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lones:2003:IPCAT Modelling Biological Evolvability: Implicit Context and Variation Filtering in Enzyme Genetic Programming
MichaelALones.html
AndrewMTyrrell.html
http___folk.ntnu.no_lones_lones-ipcat2003.pdf http://folk.ntnu.no/lones/lones-ipcat2003.pdf
lones:thesis Enzyme Genetic Programming: Modelling Biological Evolvability in Genetic Programming
MichaelALones.html
http___www.macs.hw.ac.uk__ml355_common_thesis_main.html http://www.macs.hw.ac.uk/~ml355/common/thesis/main.html
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lones::04 Modelling biological evolvability: Implicit context and variation filtering in enzyme genetic programming
MichaelALones.html
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http___www-users.york.ac.uk__mal503_common_papers_lones-ipcat2003.pdf http://www-users.york.ac.uk/~mal503/common/papers/lones-ipcat2003.pdf
http___www.sciencedirect.com_science_article_B6T2K-4D09KY2-8_2_cf043c46f0d2f5a9997b5b62067c1f20 http://www.sciencedirect.com/science/article/B6T2K-4D09KY2-8/2/cf043c46f0d2f5a9997b5b62067c1f20
http___dx.doi.org_10.1016_j.biosystems.2004.05.015 http://dx.doi.org/10.1016/j.biosystems.2004.05.015
lones::04b Enzyme Genetic Programming
MichaelALones.html
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https___www.amazon.com_Cellular-Computing-Bioinformatics-University-Paperback_dp_B00DU80DLU https://www.amazon.com/Cellular-Computing-Bioinformatics-University-Paperback/dp/B00DU80DLU
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Lones:2007:cec A Co-Evolutionary Framework for Regulatory Motif Discovery
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http___dx.doi.org_10.1109_CEC.2007.4424978 http://dx.doi.org/10.1109/CEC.2007.4424978
Lones:2010:EuroGP Controlling Complex Dynamics with Artificial Biochemical Networks
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SusanStepney.html
LeoCaves.html
http___dx.doi.org_10.1007_978-3-642-12148-7_14 http://dx.doi.org/10.1007/978-3-642-12148-7_14
Lones:2010:CEC Discriminating Normal and Cancerous Thyroid Cell Lines using Implicit Context Representation Cartesian Genetic Programming
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AndrewTHarris.html
AlecSHigh.html
SheilaEFisher.html
DAlastairSmith.html
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Lones:2010:GECma Objective Assessment of Visuo-Spatial Ability Using Implicit Context Representation Cartesian Genetic Programming
MichaelALones.html
StephenLSmith.html
http___dx.doi.org_10.1002_9780470973134.ch10 http://dx.doi.org/10.1002/9780470973134.ch10
lones2011controlling Controlling legged robots with coupled artificial biochemical networks
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SusanStepney.html
LeoCaves.html
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Lones:2011:GPEM Sean Luke: essentials of metaheuristics
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http___dx.doi.org_10.1007_s10710-011-9139-0 http://dx.doi.org/10.1007/s10710-011-9139-0
Lones:2013:SSCI Evolving classifiers to inform clinical assessment of Parkinson's disease
MichaelALones.html
JaneEAlty.html
StuartELacy.html
DRStuartJamieson.html
KatherineLPossin.html
NorbertSchuff.html
StephenLSmith.html
http___dx.doi.org_10.1109_CICARE.2013.6583072 http://dx.doi.org/10.1109/CICARE.2013.6583072
Lones:2014:GECCOcomp Classification and characterisation of movement patterns during levodopa therapy for parkinson's disease
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JaneEAlty.html
PhillipaDuggan-Carter.html
AndrewJamesTurner.html
DRStuartJamieson.html
StephenLSmith.html
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Lones:2014:ieeeTEC Evolving Classifiers to Recognise the Movement Characteristics of Parkinson's Disease Patients
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JaneEAlty.html
StuartELacy.html
KatherineLPossin.html
DRStuartJamieson.html
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Lones:2013:ieeeTEC Artificial Biochemical Networks: Evolving Dynamical Systems to Control Dynamical Systems
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AlexanderPTurner.html
LeoCaves.html
SusanStepney.html
StephenLSmith.html
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http___dx.doi.org_10.1109_TEVC.2013.2243732 http://dx.doi.org/10.1109/TEVC.2013.2243732
lones2015evolving Evolving Ensembles: What Can We Learn from Biological Mutualisms?
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StephenLSmith.html
http___dx.doi.org_10.1007_978-3-319-23108-2_5 http://dx.doi.org/10.1007/978-3-319-23108-2_5
lones2016computing Computing with artificial gene regulatory networks
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Lones:2017:GECCO Going Through Directional Changes: Evolving Human Movement Classifiers Using an Event Based Encoding
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JeremyCosgrove.html
DRStuartJamieson.html
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Lones:2017:JMS A New Evolutionary Algorithm-Based Home Monitoring Device for Parkinson's Dyskinesia
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Lones:2019:GECCOcomp Instruction-level design of local optimisers using push GP
MichaelALones.html
http___dx.doi.org_10.1145_3319619.3326806 http://dx.doi.org/10.1145/3319619.3326806
Lones:2020:EuroGP Optimising Optimisers with Push GP
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MichaelALones.html
https___rdcu.be_czY2U https://rdcu.be/czY2U
http___dx.doi.org_10.1007_s10710-021-09414-8 http://dx.doi.org/10.1007/s10710-021-09414-8
DBLP:conf/ppsn/LongKK22 Genetic Programming for Combining Directional Changes Indicators in International Stock Markets
XinpengLong.html
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PanagiotisKanellopoulos.html
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Long:2022:CEC An in-depth investigation of genetic programming and nine other machine learning algorithms in a financial forecasting problem
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MichaelKampouridis.html
DelaramJarchi.html
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long:2023:CEC Multi-objective optimisation and genetic programming for trading by combining directional changes and technical indicators
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MichaelKampouridis.html
PanagiotisKanellopoulos.html
http___dx.doi.org_10.1109_CEC53210.2023.10254034 http://dx.doi.org/10.1109/CEC53210.2023.10254034
1068134 Learning Computer Programs with the Bayesian Optimization Algorithm
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CassioPennachin.html
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Looks:thesis Competent Program Evolution
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1277072 Scalable estimation-of-distribution program evolution
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http___dx.doi.org_10.1145_1276958.1277072 http://dx.doi.org/10.1145/1276958.1277072
1277283 On the behavioral diversity of random programs
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http___dx.doi.org_10.1145_1276958.1277283 http://dx.doi.org/10.1145/1276958.1277283
Lopes:2004:AMCS EGIPSYS: an Enhanced Gene Expression Programming Approach for Symbolic Regression Problems
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WagnerRWeinert.html
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Lopes:2007:ASC Genetic programming for epileptic pattern recognition in electroencephalographic signals
HeitorSilverioLopes.html
http___dx.doi.org_10.1016_j.asoc.2005.07.004 http://dx.doi.org/10.1016/j.asoc.2005.07.004
Lopes:2019:GECCOcomp A symbolic evolutionary algorithm software platform
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AlanRobertResendedeFreitas.html
http___dx.doi.org_10.1145_3319619.3326828 http://dx.doi.org/10.1145/3319619.3326828
lopes:2011:EuroGP ReNCoDe: A Regulatory Network Computational Device
RuiLopes.html
ErnestoCosta.html
http___dx.doi.org_10.1007_978-3-642-20407-4_13 http://dx.doi.org/10.1007/978-3-642-20407-4_13
Lopes:2011:GECCO Using feedback in a regulatory network computational device
RuiLopes.html
ErnestoCosta.html
http___dx.doi.org_10.1145_2001576.2001778 http://dx.doi.org/10.1145/2001576.2001778
Lopes:2011:EPIA The Squares Problem and a Neutrality Analysis with ReNCoDe
RuiLopes.html
ErnestoCosta.html
http___dx.doi.org_10.1007_978-3-642-24769-9_14 http://dx.doi.org/10.1007/978-3-642-24769-9_14
Lopes:2012:GPEM The Regulatory Network Computational Device
RuiLopes.html
ErnestoCosta.html
http___dx.doi.org_10.1007_s10710-012-9160-y http://dx.doi.org/10.1007/s10710-012-9160-y
Lopes:2013:GECCO Genetic programming with genetic regulatory networks
RuiLopes.html
ErnestoCosta.html
http___dx.doi.org_10.1145_2463372.2463488 http://dx.doi.org/10.1145/2463372.2463488
Lopes:2013:GECCOa GEARNet: grammatical evolution with artificial regulatory networks
RuiLopes.html
ErnestoCosta.html
http___dx.doi.org_10.1145_2463372.2463490 http://dx.doi.org/10.1145/2463372.2463490
Lopes:2020:IJPR Cooperative coevolution of expressions for (r,Q) inventory management policies using genetic programming
RuiLopes.html
LuisGoncaloRodriguesReisFigueira.html
PedroSanchesAmorim.html
BernardoAlmada-Lobo.html
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Lopez:2002:WSC GA-P based search of structures and parameters of dynamical process models
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HilarioLopezGarcia.html
LucianoSanchez.html
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Lopez:2018:MCA How Am I Driving? Using Genetic Programming to Generate Scoring Functions for Urban Driving Behavior
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LuisCarlosGonzalezGurrola.html
LeonardoTrujillo.html
OlandaPrieto-Ordaz.html
GracielaMariadeJesusRamirezAlonso.html
AntonioPosada.html
PerlaSarahiJuarez-Smith.html
NormaLeticiaM_ndezMariscal.html
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Lopez:2018:ieeeSensors A Genetic Programming Approach for Driving Score Calculation in the Context of Intelligent Transportation Systems
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LuisCarlosGonzalezGurrola.html
JohanWahlstrom.html
ManuelMontes-y-Gomez.html
LeonardoTrujillo.html
GracielaMariadeJesusRamirezAlonso.html
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Lopez:2017:EuroGP RANSAC-GP: Dealing with Outliers in Symbolic Regression with Genetic Programming
UrielLopez.html
LeonardoTrujillo.html
YulianaMartinez.html
PierrickLegrand.html
EnriqueNaredo.html
SaraSilva.html
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Lopez:2018:PPSN Filtering Outliers in One Step with Genetic Programming
UrielLopez.html
LeonardoTrujillo.html
PierrickLegrand.html
https___www.springer.com_gp_book_9783319992587 https://www.springer.com/gp/book/9783319992587
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Lopez:2020:GECCO Unlabeled Multi-Target Regression with Genetic Programming
UrielLopez.html
LeonardoTrujillo.html
SaraSilva.html
LeonardoVanneschi.html
PierrickLegrand.html
https___doi.org_10.1145_3377930.3389846 https://doi.org/10.1145/3377930.3389846
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Lopez:2013:KS A hierarchical genetic fuzzy system based on genetic programming for addressing classification with highly imbalanced and borderline data-sets
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AlbertoFernandez.html
MariaJosedelJesus.html
FranciscoHerrera.html
http___dx.doi.org_10.1016_j.knosys.2012.08.025 http://dx.doi.org/10.1016/j.knosys.2012.08.025
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Lopez:2020:SIM Swarm Intelligence Models: Ant Colony Systems Applied to BNF Grammars Rule Derivation
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NuriaGomezBlas.html
AngelLuisCastellanosPenuela.html
JuanBautistaCastellanosPenuela.html
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LOPEZ-CARMONA:2021:SS CellEVAC: An adaptive guidance system for crowd evacuation through behavioral optimization
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AlvaroParicioGarcia.html
http___dx.doi.org_10.1016_j.ssci.2021.105215 http://dx.doi.org/10.1016/j.ssci.2021.105215
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lopez-diez:2003:AFC Rapid Quantitative Assessment of the Adulteration of Virgin Olive Oils with Hazelnut Oils Using Raman Spectroscopy and Chemometrics
EConsueloLopez-Diez.html
GiorgioBianchi.html
RoystonGoodacre.html
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Lopez-Herrejon:2013:CSMR SBSE4VM: Search Based Software Engineering for Variability Management
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AlexanderEgyed.html
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DBLP:journals/corr/Lopez-HerrejonFCLEA14 A Hitchhiker's Guide to Search-Based Software Engineering for Software Product Lines
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JavierFerrer.html
FranciscoChicano.html
LukasLinsbauer.html
AlexanderEgyed.html
EnriqueAlba.html
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LopezHerrejon201533 A systematic mapping study of search-based software engineering for software product lines
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LukasLinsbauer.html
AlexanderEgyed.html
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Lopez-Herrejon:2015:gi Genetic Improvement for Software Product Lines: An Overview and a Roadmap
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LukasLinsbauer.html
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StefanFischer.html
SilviaReginaVergilio.html
AlexanderEgyed.html
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Lopez-Herrera:2008:ISKE A Multiobjective Evolutionary Algorithm for Spam E-mail Filtering
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EnriqueHerreraViedma.html
FranciscoHerrera.html
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LopezHerrera20092192 Applying multi-objective evolutionary algorithms to the automatic learning of extended Boolean queries in fuzzy ordinal linguistic information retrieval systems
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EnriqueHerreraViedma.html
FranciscoHerrera.html
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Lopez-Ibanez:2020:GECCOcomp Automated Algorithm Configuration and Design
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Lopez-Ibanez:2021:sigevolution ACM SIGEVO Best Dissertation Award 2021
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Lopez-Ibanez:2022:sigevolution ACM SIGEVO Best Dissertation Award 2022
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oai:HAL:hal-01207508v1 Evaluation of Local Feature Extraction Methods Generated through Genetic Programming on Visual SLAM
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LeonardoTrujillo.html
PierrickLegrand.html
VictorHugoDiaz-Ramirez.html
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Lopez:2016:GI Genetic Programming: From design to improved implementation
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Lopez-Lopez:2016:CyS Comparison of Local Feature Extraction Paradigms Applied to Visual SLAM
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PierrickLegrand.html
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Lopez-Lopez:2018:GI5 Novelty Search for software improvement of a SLAM system
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PierrickLegrand.html
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Lopez-Lopez:2019:SC Applying Genetic Improvement to a Genetic Programming library in C++
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https___hal.inria.fr_hal-01911943 https://hal.inria.fr/hal-01911943
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Lopez-Manrique:2018:Energies Assessment of Resource and Forecast Modeling of Wind Speed through An Evolutionary Programming Approach for the North of Tehuantepec Isthmus (Cuauhtemotzin, Mexico)
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LOPEZSANTILLAN:2020:IPM Richer Document Embeddings for Author Profiling tasks based on a heuristic search
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ManuelMontes-y-Gomez.html
LuisCarlosGonzalezGurrola.html
GracielaMariadeJesusRamirezAlonso.html
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http___www.sciencedirect.com_science_article_pii_S0306457319306466 http://www.sciencedirect.com/science/article/pii/S0306457319306466
http___dx.doi.org_10.1016_j.ipm.2020.102227 http://dx.doi.org/10.1016/j.ipm.2020.102227
Lorandi:2021:TELO Genetic Improvement of Routing Protocols for Delay Tolerant Networks
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LeonardoLucioCustode.html
GiovanniIacca.html
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https___doi.org_10.1145_3453683 https://doi.org/10.1145/3453683
http___dx.doi.org_10.1145_3453683 http://dx.doi.org/10.1145/3453683
Lorandi:2021:TELO:HOP Genetic Improvement of Routing Protocols for Delay Tolerant Networks
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LeonardoLucioCustode.html
GiovanniIacca.html
http___dx.doi.org_10.1145_3449726.3462716 http://dx.doi.org/10.1145/3449726.3462716
lorenzen:1998:CEACFCPRGP Comparing the Evaluation of Antiderivatives of Complex Functions with Cartesian versus Polar Representations via Genetic Programming
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Lorway:2021:AIMC Autopia: An AI collaborator for live networked computer music performance
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EdwardPowley.html
ArthurWilson.html
https___aimc2021.iem.at_events_paper-session-5_ https://aimc2021.iem.at/events/paper-session-5/
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https___github.com_muellmusik_Utopia https://github.com/muellmusik/Utopia
Loseva:2015:ICNC Eensembles of neural networks with application of multi-objective self-configuring genetic programming in forecasting problems
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LeonidLipinsky.html
AnnaKuklina.html
http___dx.doi.org_10.1109_ICNC.2015.7378073 http://dx.doi.org/10.1109/ICNC.2015.7378073
lott:1994:tfar Terrain Flattening by Autonomous Robot: A Genetic Programming Application
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Lotz:2010:EvoENVIRONMENT Application of Genetic Programming Classification in an Industrial Process Resulting in Greenhouse Gas Emission Reductions
MarcoLotz.html
SaraSilva.html
http___dx.doi.org_10.1007_978-3-642-12242-2_14 http://dx.doi.org/10.1007/978-3-642-12242-2_14
louchet:1994:BMVC An evolutionary algorithm for physical motion analysis
JeanLouchet.html
http___www.bmva.org_bmvc_1994_bmvc-94-069.pdf http://www.bmva.org/bmvc/1994/bmvc-94-069.pdf
Louchet:EGanim95-4 Evolutionary identification of cloth animation models
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XavierProvot.html
DavidCrochemore.html
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Louchet:1995:BNT Building new tools for synthetic image animation using evolutionary techniques
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MichaelBoccara.html
DavidCrochemore.html
XavierProvot.html
http___dx.doi.org_10.1007_3-540-61108-8_44 http://dx.doi.org/10.1007/3-540-61108-8_44
louchet:1996:BMVC An identification tool to build physical models for virtual reality
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LiJiang.html
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Louchet:2000:RFIA L'algorithme des mouches : une strategie d'evolution individuelle appliquee en stereovision
JeanLouchet.html
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Louchet:2000:INRIA introduction to musical acoustics: towards a solfegist robot
JeanLouchet.html
louchet:2000:ACIVS Evolving flies for stereovision and 3-D reconstruction in medical imaging
JeanLouchet.html
LionelCastillon.html
Jean-MarieRocchisant.html
louchet:2000:ICPR Stereo analysis using individual evolution strategy
JeanLouchet.html
http___dx.doi.org_10.1109_ICPR.2000.905580 http://dx.doi.org/10.1109/ICPR.2000.905580
louchet:2001:GPEM Using an Individual Evolution Strategy for Stereovision
JeanLouchet.html
http___dx.doi.org_10.1023_A_1011544128842 http://dx.doi.org/10.1023/A:1011544128842
louchet:2002:ECA L'algorithme des mouches: apprendre une forme par evolution artificielle, application en vision robotique
JeanLouchet.html
MaudGuyon.html
Marie-JeanneLesot.html
AmineMBoumaza.html
http___www.lavoisier.fr_notice_fr2746203600.html http://www.lavoisier.fr/notice/fr2746203600.html
louchet:2002:ECAeng Dynamic flies: a new pattern recognition tool applied to stereo sequence processing
JeanLouchet.html
MaudGuyon.html
Marie-JeanneLesot.html
AmineMBoumaza.html
http___dx.doi.org_10.1016_S0167-8655_01_00129-5 http://dx.doi.org/10.1016/S0167-8655(01)00129-5
Louchet:2002:DGA Detection d'attitude d'un helicoptere en phase d'appontage par evolution artificielle
JeanLouchet.html
AmineMBoumaza.html
BaudoinCoppieters.html
Louchet:2006:SITIS Parametric and Evolutionary Methods in Image Processing, tutorial
JeanLouchet.html
EvelyneLutton.html
Louchet:2006:TSI Evolution artificielle, optimisation et analyse d'images
JeanLouchet.html
http___dx.doi.org_10.3166_tsi.25.1049-1078 http://dx.doi.org/10.3166/tsi.25.1049-1078
Louchet:2006:Hermes Modelisation et optimisation en analyse d'images
JeanLouchet.html
https___www.lavoisier.fr_livre_electricite-electronique_optimisation-en-traitement-du-signal-et-de-l-image_siarry_descriptif-9782746214637 https://www.lavoisier.fr/livre/electricite-electronique/optimisation-en-traitement-du-signal-et-de-l-image/siarry/descriptif-9782746214637
Louchet:2006:Hermes2 Evolution artificielle et evolution parisienne: applications en traitement de signal et d'images
JeanLouchet.html
PierreCollet.html
https___www.amazon.fr_Optimisation-traitement-signal-limage-Trait_C3_A9_dp_2746214636 https://www.amazon.fr/Optimisation-traitement-signal-limage-Trait%C3%A9/dp/2746214636
Louchet:2006:EURASIP Model-based Image Analysis using Evolutionary Strategies
JeanLouchet.html
Louchet:2007:DAA Optimisation Strategies for Modelling and Simulation, tutorial
JeanLouchet.html
Louchet:2009:CIMAT Is vision an inverse problem?
JeanLouchet.html
Louchet:2009:evows Flies Open a Door to SLAM
JeanLouchet.html
EmmanuelSapin.html
http___dx.doi.org_10.1007_978-3-642-01129-0_43 http://dx.doi.org/10.1007/978-3-642-01129-0_43
Louchet:2009:Paris12 Modelling and optimization in image analysis
JeanLouchet.html
Louchet:2014:Gent Why use Evolutionary Computation in Image Processing? A practical guide to Evolutionary Image Processing
JeanLouchet.html
Louchet:2014:Gent_tr People tracking: introducing evolutionary methods into image processing, Activity Report 2013-2014
JeanLouchet.html
Loughran:thesis Music Instrument Identification with Feature Selection Using Evolutionary Methods
RoisinLoughran.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_LoughranThesis.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/LoughranThesis.pdf
Loughran:2012:EvoMUSART Genetic Programming for Musical Sound Analysis
RoisinLoughran.html
JacquelineWalker.html
MichaelO'Neill.html
JamesMcDermott.html
http___dx.doi.org_10.1007_978-3-642-29142-5_16 http://dx.doi.org/10.1007/978-3-642-29142-5_16
loughran:cec2015 Tonality Driven Piano Compositions with Grammatical Evolution
RoisinLoughran.html
JamesMcDermott.html
MichaelO'Neill.html
http___dx.doi.org_10.1109_CEC.2015.7257152 http://dx.doi.org/10.1109/CEC.2015.7257152
loughran:smc2015 Grammatical Evolution with Zipf's Law Based Fitness for Melodic Composition
RoisinLoughran.html
JamesMcDermott.html
MichaelO'Neill.html
http___ncra.ucd.ie_papers_smc2015_loughran.pdf http://ncra.ucd.ie/papers/smc2015_loughran.pdf
EvoIasp16Loughranetal Speaker Verification on Unbalanced Data with Genetic Programming
RoisinLoughran.html
AlexandrosAgapitos.html
AhmedKattan.html
AnthonyBrabazon.html
MichaelO'Neill.html
http___dx.doi.org_10.1007_978-3-319-31204-0_47 http://dx.doi.org/10.1007/978-3-319-31204-0_47
http___dx.doi.org_10.1007_978-3-319-31204-0_47 http://dx.doi.org/10.1007/978-3-319-31204-0_47
loughran2016grammatical Grammatical music composition with dissimilarity driven hill climbing
RoisinLoughran.html
JamesMcDermott.html
MichaelO'Neill.html
https___link.springer.com_chapter_10.1007_978-3-319-31008-4_8 https://link.springer.com/chapter/10.1007/978-3-319-31008-4_8
http___dx.doi.org_10.1007_978-3-319-31008-4_8 http://dx.doi.org/10.1007/978-3-319-31008-4_8
loughran2016popular The popular critic: Evolving melodies with popularity driven fitness
RoisinLoughran.html
MichaelO'Neill.html
http___musicalmetacreation.org_workshops_mume-2016_program_ http://musicalmetacreation.org/workshops/mume-2016/program/
http___musicalmetacreation.org_buddydrive_file_loughran_the_popular_ http://musicalmetacreation.org/buddydrive/file/loughran_the_popular/
http___ncra.ucd.ie_papers_The_20Popular_20Critic-_20Evolving_20Melodies_20with_20Popularity_20Driven_20Fitness.pdf http://ncra.ucd.ie/papers/The%20Popular%20Critic-%20Evolving%20Melodies%20with%20Popularity%20Driven%20Fitness.pdf
Loughran:2017:evoMusArt Clustering Agents for the Evolution of Autonomous Musical Fitness
RoisinLoughran.html
MichaelO'Neill.html
http___dx.doi.org_10.1007_978-3-319-55750-2_11 http://dx.doi.org/10.1007/978-3-319-55750-2_11
loughranmy `My Little ChucKy': Towards Live-coding with Grammatical Evolution
RoisinLoughran.html
MichaelO'Neill.html
http___musicalmetacreation.org_proceedings_mume-2017_ http://musicalmetacreation.org/proceedings/mume-2017/
http___musicalmetacreation.org_buddydrive_file_loughran_ http://musicalmetacreation.org/buddydrive/file/loughran/
https___www.researchgate.net_profile_Roisin_Loughran_publication_317598212__27My_Little_ChucKy_27_Towards_Live-coding_with_Grammatical_Evolution_links_596777f5aca2728ca67300c9_My-Little-ChucKy-Towards-Live-coding-with-Grammatical-Evolution.pdf https://www.researchgate.net/profile/Roisin_Loughran/publication/317598212_%27My_Little_ChucKy%27_Towards_Live-coding_with_Grammatical_Evolution/links/596777f5aca2728ca67300c9/My-Little-ChucKy-Towards-Live-coding-with-Grammatical-Evolution.pdf
Loughran2017 Feature selection for speaker verification using genetic programming
RoisinLoughran.html
AlexandrosAgapitos.html
AhmedKattan.html
AnthonyBrabazon.html
MichaelO'Neill.html
http___dx.doi.org_10.1007_s12065-016-0150-5 http://dx.doi.org/10.1007/s12065-016-0150-5
Loughran:2017:JCMS Limitations from Assumptions in Generative Music Evaluation
RoisinLoughran.html
MichaelO'Neill.html
http___jcms.org.uk_issues_Vol2Issue1_limitations-from-assumptions_article.html http://jcms.org.uk/issues/Vol2Issue1/limitations-from-assumptions/article.html
http___jcms.org.uk_issues_Vol2Issue1_limitations-from-assumptions_Limitations_20from_20Assumptions_20in_20Generative_20Music_20Evaluation.pdf http://jcms.org.uk/issues/Vol2Issue1/limitations-from-assumptions/Limitations%20from%20Assumptions%20in%20Generative%20Music%20Evaluation.pdf
Loughran:2018:AISB Serendipity in Melodic Self-organising Fitness
RoisinLoughran.html
MichaelO'Neill.html
http___aisb2018.csc.liv.ac.uk_symposia.html http://aisb2018.csc.liv.ac.uk/symposia.html
http___aisb2018.csc.liv.ac.uk_PROCEEDINGS_20AISB2018_Cybernetic_20Serendipity_20Reimagined_20-_20AISB2018.pdf http://aisb2018.csc.liv.ac.uk/PROCEEDINGS%20AISB2018/Cybernetic%20Serendipity%20Reimagined%20-%20AISB2018.pdf
Loughran:2018:hbge Grammatical Evolution and Creativity
RoisinLoughran.html
http___dx.doi.org_10.1007_978-3-319-78717-6_14 http://dx.doi.org/10.1007/978-3-319-78717-6_14
Loughran:GPEM20 Evolutionary music: Applying evolutionary computation to the art of creating music
RoisinLoughran.html
MichaelO'Neill.html
http___dx.doi.org_10.1007_s10710-020-09380-7 http://dx.doi.org/10.1007/s10710-020-09380-7
Lourenco:2012:GECCOcomp Evolving evolutionary algorithms
NunoLourenco.html
FranciscoJoseBaptistaPereira.html
ErnestoCosta.html
http___dx.doi.org_10.1145_2330784.2330794 http://dx.doi.org/10.1145/2330784.2330794
Lourenco:2013:GECCO The importance of the learning conditions in hyper-heuristics
NunoLourenco.html
FranciscoJoseBaptistaPereira.html
ErnestoCosta.html
http___dx.doi.org_10.1145_2463372.2463558 http://dx.doi.org/10.1145/2463372.2463558
Lourenco:2013:EA Learning Selection Strategies for Evolutionary Algorithms
NunoLourenco.html
FranciscoJoseBaptistaPereira.html
ErnestoCosta.html
http___ea2013.inria.fr_proceedings.pdf http://ea2013.inria.fr/proceedings.pdf
http___dx.doi.org_10.1007_978-3-319-11683-9_16 http://dx.doi.org/10.1007/978-3-319-11683-9_16
Lourenco:2015:EA SGE: A Structured Representation for Grammatical Evolution
NunoLourenco.html
FranciscoJoseBaptistaPereira.html
ErnestoCosta.html
http___dx.doi.org_10.1007_978-3-319-31471-6_11 http://dx.doi.org/10.1007/978-3-319-31471-6_11
Lourenco:2016:GPEM Unveiling the properties of structured grammatical evolution
NunoLourenco.html
FranciscoJoseBaptistaPereira.html
ErnestoCosta.html
http___dx.doi.org_10.1007_s10710-015-9262-4 http://dx.doi.org/10.1007/s10710-015-9262-4
Lourenco:2017:EuroGP A Comparative Study of Different Grammar-based Genetic Programming Approaches
NunoLourenco.html
JoaquimFerrer.html
FranciscoJoseBaptistaPereira.html
ErnestoCosta.html
http___dx.doi.org_10.1007_978-3-319-55696-3_20 http://dx.doi.org/10.1007/978-3-319-55696-3_20
Lourenco:2018:hbge Structured Grammatical Evolution: A Dynamic Approach
NunoLourenco.html
FilipeAssuncao.html
FranciscoJoseBaptistaPereira.html
ErnestoCosta.html
PenousalMachado.html
http___dx.doi.org_10.1007_978-3-319-78717-6_6 http://dx.doi.org/10.1007/978-3-319-78717-6_6
Lourenco:2019:GECCO Structured Grammatical Evolution for Glucose Prediction in Diabetic Patients
NunoLourenco.html
JManuelColmenar.html
JoseIgnacioHidalgoPerez.html
OscarGarnica.html
http___dx.doi.org_10.1145_3321707.3321782 http://dx.doi.org/10.1145/3321707.3321782
Lourenco:2020:GECCO Evolving Energy Demand Estimation Models over Macroeconomic Indicators
NunoLourenco.html
JManuelColmenar.html
JoseIgnacioHidalgoPerez.html
SanchoSalcedo-Sanz.html
https___doi.org_10.1145_3377930.3390153 https://doi.org/10.1145/3377930.3390153
http___dx.doi.org_10.1145_3377930.3390153 http://dx.doi.org/10.1145/3377930.3390153
LovCie01 Representing Classification Problems in Genetic Programming
ThomasLoveard.html
VictorCiesielski.html
http___goanna.cs.rmit.edu.au__toml_cec2001.ps http://goanna.cs.rmit.edu.au/~toml/cec2001.ps
http___dx.doi.org_10.1109_CEC.2001.934310 http://dx.doi.org/10.1109/CEC.2001.934310
loveard:2002:SEAL Employing Nominal Attributes in Classification Using Genetic Programming
ThomasLoveard.html
VictorCiesielski.html
http___goanna.cs.rmit.edu.au__vc_papers_seal02-loveard.pdf http://goanna.cs.rmit.edu.au/~vc/papers/seal02-loveard.pdf
Loveard:2002:GPC Genetic Programming for Classification: An Analysis of Convergence Behaviour
ThomasLoveard.html
VictorCiesielski.html
http___goanna.cs.rmit.edu.au__vc_papers_aust-ai02.pdf http://goanna.cs.rmit.edu.au/~vc/papers/aust-ai02.pdf
http___dx.doi.org_10.1007_3-540-36187-1_27 http://dx.doi.org/10.1007/3-540-36187-1_27
loveard03 Genetic Programming With Meta-Search: Searching For a Successful Population Within The Classification Domain
ThomasLoveard.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.534.3317 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.534.3317
http___goanna.cs.rmit.edu.au__vc_papers_eurogp-03.pdf http://goanna.cs.rmit.edu.au/~vc/papers/eurogp-03.pdf
http___dx.doi.org_10.1007_3-540-36599-0_11 http://dx.doi.org/10.1007/3-540-36599-0_11
Loveard:thesis Genetic Programming for Classification Learning Problems
ThomasLoveard.html
http___goanna.cs.rmit.edu.au__vc_papers_loveard-phd.pdf http://goanna.cs.rmit.edu.au/~vc/papers/loveard-phd.pdf
LM03 Genetic Programming of Vertex Shaders
JornLoviscach.html
JennisMeyer-Spradow.html
Loviscach:2008:AES Graphical Control of a Parametric Equalizer
JornLoviscach.html
http___www.aes.org_e-lib_browse.cfm_elib_14567 http://www.aes.org/e-lib/browse.cfm?elib=14567
Lu:2006:ieeeiceis Computation Process Evolution
JiLu.html
TaoLi.html
http___dx.doi.org_10.1109_ICEIS.2006.1703138 http://dx.doi.org/10.1109/ICEIS.2006.1703138
Lu:2006:MLC Nonlinear Modeling for Time Series Based on the Genetic Programming and its Applications
Jian-JunLu.html
Yun-LingLiu.html
ShozoTokinaga.html
http___dx.doi.org_10.1109_ICMLC.2006.258350 http://dx.doi.org/10.1109/ICMLC.2006.258350
conf/iccS/LuLT07 Feature Description Systems for Clusters by Using Logical Rule Generations Based on the Genetic Programming and Its Applications to Data Mining
Jian-JunLu.html
Yun-LingLiu.html
ShozoTokinaga.html
http___dx.doi.org_10.1007_978-3-540-72590-9_23 http://dx.doi.org/10.1007/978-3-540-72590-9_23
journals/cmot/LuT13 Analysis of cluster formations on planer cells based on genetic programming
Jian-JunLu.html
ShozoTokinaga.html
http___dx.doi.org_10.1007_s10588-012-9112-3 http://dx.doi.org/10.1007/s10588-012-9112-3
Lu:2022:RemoteSensing Genetic Programming for High-Level Feature Learning in Crop Classification
MiaoLu.html
YingBi.html
BingXue.html
QiongHu.html
MengjieZhang.html
YanbingWei.html
PengYang.html
WenbinWu.html
http___dx.doi.org_10.3390_rs14163982 http://dx.doi.org/10.3390/rs14163982
Lu:2011:ICNC Feature fitness evaluation for symbolic regression via genetic programming
QiangLu.html
BinWang.html
http___dx.doi.org_10.1109_ICNC.2011.6022150 http://dx.doi.org/10.1109/ICNC.2011.6022150
Lu:2016:CIN Using Genetic Programming with Prior Formula Knowledge to Solve Symbolic Regression Problem
QiangLu.html
JunRen.html
ZhiguangWang.html
http___dx.doi.org_10.1155_2016_1021378 http://dx.doi.org/10.1155/2016/1021378
http___downloads.hindawi.com_journals_cin_2016_1021378.pdf http://downloads.hindawi.com/journals/cin/2016/1021378.pdf
LU:2021:IS Enhancing gene expression programming based on space partition and jump for symbolic regression
QiangLu.html
ShuoZhou.html
FanTao.html
JakeLuo.html
ZhiguangWang.html
http___dx.doi.org_10.1016_j.ins.2020.08.061 http://dx.doi.org/10.1016/j.ins.2020.08.061
https___www.sciencedirect.com_science_article_pii_S0020025520308276 https://www.sciencedirect.com/science/article/pii/S0020025520308276
lu:2003:dnfoniugp Detecting new forms of network intrusion using genetic programming
WeiLu.html
IssaTraore.html
http___www.isot.ece.uvic.ca_publications_journals_coi-2004.pdf http://www.isot.ece.uvic.ca/publications/journals/coi-2004.pdf
http___dx.doi.org_10.1109_CEC.2003.1299940 http://dx.doi.org/10.1109/CEC.2003.1299940
Lu:2004:CI Detecting New Forms of Network Intrusion Using Genetic Programming
WeiLu.html
IssaTraore.html
https___onlinelibrary.wiley.com_doi_abs_10.1111_j.0824-7935.2004.00247.x https://onlinelibrary.wiley.com/doi/abs/10.1111/j.0824-7935.2004.00247.x
http___dx.doi.org_10.1111_j.0824-7935.2004.00247.x http://dx.doi.org/10.1111/j.0824-7935.2004.00247.x
Lu:2018:ICSE Program Splicing
YanxinLu.html
SwaratChaudhuri.html
ChrisJermaine.html
DavidMelski.html
http___dx.doi.org_10.1145_3180155.3180190 http://dx.doi.org/10.1145/3180155.3180190
Lu:2008:IMECS Wiener Model Identification using Genetic Programming
Yueh-ChunLu.html
Ming-HungChang.html
Te-JenSu.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.148.3976 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.148.3976
http___www.iaeng.org_publication_IMECS2008_IMECS2008_pp1261-1265.pdf http://www.iaeng.org/publication/IMECS2008/IMECS2008_pp1261-1265.pdf
Lu:2018:ieeeTC Genetic Programming for Energy-Efficient and Energy-Scalable Approximate Feature Computation in Embedded Inference Systems
Jie_Lucy_Lu.html
HongyangJia.html
NaveenVerma.html
NirajKJha.html
http___dx.doi.org_10.1109_TC.2017.2738642 http://dx.doi.org/10.1109/TC.2017.2738642
Lu:2019:GECCOcomp Space partition based gene expression programming for symbolic regression
QiangLu.html
ShuoZhou.html
FanTao.html
ZhiguangWang.html
http___dx.doi.org_10.1145_3319619.3322075 http://dx.doi.org/10.1145/3319619.3322075
Lu:2021:ieeeTEC Multi-Objective Evolutionary Design of Deep Convolutional Neural Networks for Image Classification
ZhichaoLu.html
IanWhalen.html
YashishDhebar.html
KalyanmoyDeb.html
ErikGoodman.html
WolfgangBanzhaf.html
VishnuNareshBoddeti.html
https___hal.cse.msu.edu_assets_pdfs_papers_2020-tevc-nsganetv1.pdf https://hal.cse.msu.edu/assets/pdfs/papers/2020-tevc-nsganetv1.pdf
https___arxiv.org_abs_1912.01369 https://arxiv.org/abs/1912.01369
http___dx.doi.org_10.1109_TEVC.2020.3024708 http://dx.doi.org/10.1109/TEVC.2020.3024708
https___github.com_human-analysis_nsganetv1 https://github.com/human-analysis/nsganetv1
lubell-doughtie:2003:UGPEGPSNCDS Using Genetic Programming to Evolve a General Purpose Sorting Network for Comparable Data Sets
PeterBLubell-Doughtie.html
http___www.genetic-programming.org_sp2003_LubellDoughtie.pdf http://www.genetic-programming.org/sp2003/LubellDoughtie.pdf
lucas:2002:esmatfges Evolving spring-mass models: a test-bed for graph encoding schemes
SimonMLucas.html
http___algoval.essex.ac.uk_rep_springs_cec2002.pdf http://algoval.essex.ac.uk/rep/springs/cec2002.pdf
http___dx.doi.org_10.1109_CEC.2002.1004542 http://dx.doi.org/10.1109/CEC.2002.1004542
lucas03 Evolving Finite State Transducers: Some Initial Explorations
SimonMLucas.html
http___algoval.essex.ac.uk_rep_fst_EuroFST.pdf http://algoval.essex.ac.uk/rep/fst/EuroFST.pdf
http___dx.doi.org_10.1007_3-540-36599-0_12 http://dx.doi.org/10.1007/3-540-36599-0_12
lucas:2004:eurogp Exploiting Reflection in Object Oriented Genetic Programming
SimonMLucas.html
http___algoval.essex.ac.uk_rep_oogp_ReflectionBasedGP.pdf http://algoval.essex.ac.uk/rep/oogp/ReflectionBasedGP.pdf
http___dx.doi.org_10.1007_978-3-540-24650-3_35 http://dx.doi.org/10.1007/978-3-540-24650-3_35
lucas-gonzalez:2001:gpsvmpgp Generating Programs for Solving Vector and Matrix Problems using Genetic Programming
SocratesALucas-Gonzalez.html
HugoTerashima-Marin.html
luchian:2015:AIAPG Genetic Programming Techniques with Applications in the Oil and Gas Industry
HenriLuchian.html
AndreiBautu.html
ElenaBautu.html
http___link.springer.com_chapter_10.1007_978-3-319-16531-8_3 http://link.springer.com/chapter/10.1007/978-3-319-16531-8_3
http___dx.doi.org_10.1007_978-3-319-16531-8_3 http://dx.doi.org/10.1007/978-3-319-16531-8_3
oai:CiteSeerPSU:523944 Genetic Programming Application to One-way Quantum Finite State Automata Generation
AlexeyLuchko.html
http___www.mdh.se_ima_personal_rbr01_courses_riga02proc_11.pdf http://www.mdh.se/ima/personal/rbr01/courses/riga02proc/11.pdf
http___citeseer.ist.psu.edu_523944.html http://citeseer.ist.psu.edu/523944.html
lucier:1998:pofGP Program Optimization for Faster Genetic Programming
BradleyJLucier.html
SudhakarMamillapalli.html
JensPalsberg.html
http___www.cs.ucla.edu__palsberg_paper_gp98.pdf http://www.cs.ucla.edu/~palsberg/paper/gp98.pdf
Ludwig:2010:IHIS Prediction of breast cancer biopsy outcomes using a distributed genetic programming approach
SimoneALudwig.html
http___dx.doi.org_10.1145_1882992.1883099 http://dx.doi.org/10.1145/1882992.1883099
Ludwig:2010:KES Prognosis of Breast Cancer Using Genetic Programming
SimoneALudwig.html
StefanieRoos.html
http___dx.doi.org_10.1007_978-3-642-15384-6_57 http://dx.doi.org/10.1007/978-3-642-15384-6_57
Ludwig:2010:IJCMAM Medical Outcome Prediction for Intensive Care Unit Patients
SimoneALudwig.html
StefanieRoos.html
MoniqueFrize.html
NicoleJYu.html
http___www.irma-international.org_article_medical-outcome-prediction-intensive-care_51668_ http://www.irma-international.org/article/medical-outcome-prediction-intensive-care/51668/
http___dx.doi.org_10.4018_jcmam.2010100102 http://dx.doi.org/10.4018/jcmam.2010100102
Ludwig:2016:GPEM Anthony Brabazon, Michael O'Neill, Sean McGarraghy: Natural computing algorithms Springer, 2015, 554 pp, ISBN: 978-3-662-43631-8
SimoneALudwig.html
http___dx.doi.org_10.1007_s10710-016-9266-8 http://dx.doi.org/10.1007/s10710-016-9266-8
conf/ieaaie/LuengoWBC15 Optimization of Trading Rules for the Spanish Stock Market by Genetic Programming
SergioLuengo.html
StephanMWinkler.html
DavidFBarrero.html
BonifacioCastano.html
http___dx.doi.org_10.1007_978-3-319-19066-2 http://dx.doi.org/10.1007/978-3-319-19066-2
Luerssen05 Graph Grammar Encoding and Evolution of Automata Networks
MartinHLuerssen.html
http___crpit.com_confpapers_CRPITV38Luerssen.pdf http://crpit.com/confpapers/CRPITV38Luerssen.pdf
Luerssen2006 Experimental Investigations into Graph Grammar Evolution
MartinHLuerssen.html
http___theses.flinders.edu.au_uploads_approved_adt-SFU20110328.120915_public_02whole.pdf http://theses.flinders.edu.au/uploads/approved/adt-SFU20110328.120915/public/02whole.pdf
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Luerssen:2007:cec Graph Design by Graph Grammar Evolution
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http___dx.doi.org_10.1109_CEC.2007.4424497 http://dx.doi.org/10.1109/CEC.2007.4424497
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MartinHLuerssen.html
http___www.amazon.com_Experimental-Investigations-Graph-Grammar-Evolution_dp_363912328X http://www.amazon.com/Experimental-Investigations-Graph-Grammar-Evolution/dp/363912328X
Lugo:2017:GECCO Developing Proactive Defenses for Computer Networks with Coevolutionary Genetic Algorithms
AnthonyErbLugo.html
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http___doi.acm.org_10.1145_3067695.3089234 http://doi.acm.org/10.1145/3067695.3089234
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luis:2013:EuroGP On the Evolvability of A Hybrid Ant Colony-Cartesian Genetic Programming Methodology
SweeneyLuis.html
MarcusViniciusdosSantos.html
http___dx.doi.org_10.1007_978-3-642-37207-0_10 http://dx.doi.org/10.1007/978-3-642-37207-0_10
luke:1996:etc Evolving Teamwork and Coordination with Genetic Programming
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luke:1996:egnee Evolving Graphs and Networks with Edge Encoding: Preliminary Report
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luke:1997:ccmGP A Comparison of Crossover and Mutation in Genetic Programming
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luke:1997:csstcGP Co-evolving Soccer Softbot Team Coordination with Genetic Programming
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luke:1998:rcxmGP A Revised Comparison of Crossover and Mutation in Genetic Programming
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luke:1998:RoboCup97 Genetic Programming Produced Competitive Soccer Softbot Teams for RoboCup97
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luke:1998:firsttime Biology: See It Again -- for the First Time
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luke:1998:sretro Evolving SoccerBots: A Retrospective
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luke:1999:P ``Genetic'' Programming
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luke:2000:2ftcaGP Two Fast Tree-Creation Algorithms for Genetic Programming
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LiviuPanait.html
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Luke2009Metaheuristics Essentials of Metaheuristics
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http___cs.gmu.edu__sean_book_metaheuristics_ http://cs.gmu.edu/~sean/book/metaheuristics/
http___www.lulu.com_shop_sean-luke_essentials-of-metaheuristics-second-edition_paperback_product-21080150.html http://www.lulu.com/shop/sean-luke/essentials-of-metaheuristics-second-edition/paperback/product-21080150.html
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http___www.cs.gmu.edu__eclab_projects_ecj_docs_manual_manual.pdf http://www.cs.gmu.edu/~eclab/projects/ecj/docs/manual/manual.pdf
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BorjeLundberg.html
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NurZincir-Heywood.html
http___gpbib.cs.ucl.ac.uk_gecco2005_docs_p1787.pdf http://gpbib.cs.ucl.ac.uk/gecco2005/docs/p1787.pdf
http___dx.doi.org_10.1145_1068009.1068311 http://dx.doi.org/10.1145/1068009.1068311
Luo:2006:CEC Evolving Recurrent Linear-GP for Document Classification and Word Tracking
XiaoLuo.html
NurZincir-Heywood.html
http___dx.doi.org_10.1109_CEC.2006.1688611 http://dx.doi.org/10.1109/CEC.2006.1688611
oai:CiteSeerX.psu:10.1.1.419.1455 Incorporating Temporal Information for Document Classification
XiaoLuo.html
NurZincir-Heywood.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.419.1455 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.419.1455
http___ccs.njit.edu_inst_source_10TDMM04.pdf http://ccs.njit.edu/inst/source/10TDMM04.pdf
Luo:2019:IJCNN Deep Learning-Based Strategy For Macromolecules Classification with Imbalanced Data from Cellular Electron Cryotomography
ZiqianLuo.html
XiangruiZeng.html
ZhipengBao.html
MinXu.html
http___dx.doi.org_10.1109_IJCNN.2019.8851972 http://dx.doi.org/10.1109/IJCNN.2019.8851972
luo:2022:GECCO Exploring Hidden Semantics in Neural Networks with Symbolic Regression
YuanzhenLuo.html
QiangLu.html
XileiHu.html
JakeLuo.html
ZhiguangWang.html
https___arxiv.org_abs_2204.10529 https://arxiv.org/abs/2204.10529
http___dx.doi.org_10.1145_3512290.3528758 http://dx.doi.org/10.1145/3512290.3528758
Luotsinen:2016:SMC Evolved creative intelligence for computer generated forces
LinusLuotsinen.html
FKamrani.html
PHammar.html
MJandel.html
RALovlid.html
http___dx.doi.org_10.1109_SMC.2016.7844707 http://dx.doi.org/10.1109/SMC.2016.7844707
DBLP:series/sci/LuqueCH06 A Multi-Objective Genetic Algorithm for Learning Linguistic Persistent Queries in Text Retrieval Environments
MariaLuqueRodriguez.html
OscarCordon.html
EnriqueHerreraViedma.html
http___dx.doi.org_10.1007_3-540-33019-4_26 http://dx.doi.org/10.1007/3-540-33019-4_26
Luthi:2007:gecco The Genetic Programming Collaboration Network and its Communities
LeslieLuthi.html
MarcoTomassini.html
MarioGiacobini.html
WilliamBLangdon.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_Luthi_2007_gecco.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/Luthi_2007_gecco.pdf
http___gpbib.cs.ucl.ac.uk_gecco2007_docs_p1643.pdf http://gpbib.cs.ucl.ac.uk/gecco2007/docs/p1643.pdf
http___dx.doi.org_10.1145_1276958.1277284 http://dx.doi.org/10.1145/1276958.1277284
lutton:1995:IFS Mixed IFS: Resolution of the Inverse Problem Using Genetic Programming
EvelyneLutton.html
JacquesLevy-Vehel.html
GuillaumeCretin.html
PhilippeGlevarec.html
CedricRoll.html
http___hal.inria.fr_inria-00074056_en_ http://hal.inria.fr/inria-00074056/en/
http___hal.inria.fr_docs_00_07_40_56_PDF_RR-2631.pdf http://hal.inria.fr/docs/00/07/40/56/PDF/RR-2631.pdf
http___citeseer.ist.psu.edu_cretin95mixed.html http://citeseer.ist.psu.edu/cretin95mixed.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.43.286 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.43.286
lutton:1995:IFScs Mixed IFS: Resolution of the Inverse Problem Using Genetic Programming
EvelyneLutton.html
JacquesLevy-Vehel.html
GuillaumeCretin.html
PhilippeGlevarec.html
CedricRoll.html
http___evelyne.lutton.free.fr_Papers_81_RR-2631.pdf http://evelyne.lutton.free.fr/Papers/81_RR-2631.pdf
http___www.complex-systems.com_pdf_09-5-3.pdf http://www.complex-systems.com/pdf/09-5-3.pdf
http___www.complex-systems.com_abstracts_v09_i05_a03.html http://www.complex-systems.com/abstracts/v09_i05_a03.html
LCLSF200 Evolution Artificielle
EvelyneLutton.html
PierreCollet.html
JeanLouchet.html
MicheleSebag.html
CyrilFonlupt.html
Lutton:2002:ECT EASEA Comparisons on Test Functions: GALib versus EO
EvelyneLutton.html
PierreCollet.html
JeanLouchet.html
http___fractales.inria.fr_evo-lab_EASEAComparisonFinal.ps.gz http://fractales.inria.fr/evo-lab/EASEAComparisonFinal.ps.gz
http___dx.doi.org_10.1007_3-540-46033-0_18 http://dx.doi.org/10.1007/3-540-46033-0_18
lutton:2002:GP Genetic Programming, Proceedings of the 5th European Conference, EuroGP 2002
JamesAFoster.html
EvelyneLutton.html
JulianFMiller.html
ConorRyan.html
AndreaGBTettamanzi.html
http___dx.doi.org_10.1007_3-540-45984-7 http://dx.doi.org/10.1007/3-540-45984-7
Lutton:evowks03 ArtiE-Fract: The Artist's Viewpoint
EvelyneLutton.html
EmmanuelCayla.html
JonathanChapuis.html
http___evelyne.lutton.free.fr_Papers_134_lutton.pdf http://evelyne.lutton.free.fr/Papers/134_lutton.pdf
https___evomusart-index.dei.uc.pt_years_2003 https://evomusart-index.dei.uc.pt/years/2003
http___dx.doi.org_10.1007_3-540-36605-9_47 http://dx.doi.org/10.1007/3-540-36605-9_47
Lutton05b Evolution of Fractal shapes for artists and designers
EvelyneLutton.html
http___evelyne.lutton.free.fr_Papers_Lutton-IJAI-Final.pdf http://evelyne.lutton.free.fr/Papers/Lutton-IJAI-Final.pdf
http___dx.doi.org_10.1142_S0218213006002850 http://dx.doi.org/10.1142/S0218213006002850
Lutton:book Evolutionary Algorithms for Food Science and Technology
EvelyneLutton.html
NathaliePerrot.html
AlbertoTonda.html
https___www.amazon.com_Evolutionary-Algorithms-Technology-Computer-Engineering_dp_1848218133 https://www.amazon.com/Evolutionary-Algorithms-Technology-Computer-Engineering/dp/1848218133
Lutton:2017:GPEM Gustavo Olague: Evolutionary computer vision, the first footprints
EvelyneLutton.html
http___dx.doi.org_10.1007_s10710-017-9311-2 http://dx.doi.org/10.1007/s10710-017-9311-2
Lutton:2020:sigevolution About the Cover
EvelyneLutton.html
https___evolution.sigevo.org_issues_HTML_sigevolution13-1.html https://evolution.sigevo.org/issues/HTML/sigevolution13-1.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_SIGEVOlution_vol13_issue_1.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/SIGEVOlution_vol13_issue_1.pdf
Lv:2019:IEMDC Investigation of Prediction Models for Forces Calculation in Linear Induction Motor with Data-Based System Identification Algorithms
GangLv.html
DihuiZeng.html
TongZhou.html
MicheleDegano.html
http___dx.doi.org_10.1109_IEMDC.2019.8785143 http://dx.doi.org/10.1109/IEMDC.2019.8785143
lv:2006:CM Genetic programming for maximum-likelihood phylogeny inference
HYLv.html
CGZhou.html
JBZhou.html
http___link.springer.com_chapter_10.1007_978-1-4020-3953-9_37 http://link.springer.com/chapter/10.1007/978-1-4020-3953-9_37
http___dx.doi.org_10.1007_978-1-4020-3953-9_37 http://dx.doi.org/10.1007/978-1-4020-3953-9_37
Lv:2017:ISCID Research of Assembly Job Shop Scheduling Problem Based on Modified Genetic Programming
HailiLv.html
GuozhenHan.html
http___dx.doi.org_10.1109_ISCID.2017.120 http://dx.doi.org/10.1109/ISCID.2017.120
Lv:2021:ISCID Genetic Programming-based Heuristic Generation Algorithm for Steelmaking - Continuous Casting Scheduling
HaoranLv.html
BailinWang.html
WenxinZhang.html
TiekeLi.html
http___dx.doi.org_10.1109_ISCID52796.2021.00042 http://dx.doi.org/10.1109/ISCID52796.2021.00042
Ly:2014:ieeeTEC Optimal Experiment Design for Coevolutionary Active Learning
DanielLLy.html
HodLipson.html
http___dx.doi.org_10.1109_TEVC.2013.2281529 http://dx.doi.org/10.1109/TEVC.2013.2281529
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EdwardLy.html
JulianVillegas.html
http___dx.doi.org_10.1109_IWCIA59471.2023.10335891 http://dx.doi.org/10.1109/IWCIA59471.2023.10335891
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EdwardLy.html
JulianVillegas.html
http___dx.doi.org_10.1109_LSP.2023.3304198 http://dx.doi.org/10.1109/LSP.2023.3304198
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MichelleLyman.html
GaryLewandowski.html
http___gpbib.cs.ucl.ac.uk_gecco2005_docs_p1551.pdf http://gpbib.cs.ucl.ac.uk/gecco2005/docs/p1551.pdf
http___dx.doi.org_10.1145_1068009.1068254 http://dx.doi.org/10.1145/1068009.1068254
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CollinLynch.html
KevinDAshley.html
NielsPinkwart.html
VincentAleven.html
http___www.educationaldatamining.org_EDM2008_uploads_proc_14_Lynch_43.pdf http://www.educationaldatamining.org/EDM2008/uploads/proc/14_Lynch_43.pdf
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.141.7750 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.141.7750
http___www.cs.cmu.edu__aleven_Papers_2008_Lynch_ea_EDM2008.pdf http://www.cs.cmu.edu/~aleven/Papers/2008/Lynch_ea_EDM2008.pdf
Lynch:2016:GECCOcomp Evolving Augmented Graph Grammars for Argument Analysis
CollinLynch.html
LintingXue.html
MinChi.html
http___dx.doi.org_10.1145_2908961.2908994 http://dx.doi.org/10.1145/2908961.2908994
Lynch:2016:EuroGP Scheduling in Heterogeneous Networks using Grammar-based Genetic Programming
DavidLynch.html
MichaelFenton.html
StepanKucera.html
HolgerClaussen.html
MichaelO'Neill.html
http___dx.doi.org_10.1007_978-3-319-30668-1_6 http://dx.doi.org/10.1007/978-3-319-30668-1_6
Lynch:2016:GECCO Evolutionary Learning of Scheduling Heuristics for Heterogeneous Wireless Communications Networks
DavidLynch.html
MichaelFenton.html
StepanKucera.html
HolgerClaussen.html
MichaelO'Neill.html
http___dx.doi.org_10.1145_2908812.2908903 http://dx.doi.org/10.1145/2908812.2908903
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DavidLynch.html
DavidFagan.html
StepanKucera.html
HolgerClaussen.html
MichaelO'Neill.html
http___dx.doi.org_10.1109_CEC.2018.8477871 http://dx.doi.org/10.1109/CEC.2018.8477871
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DavidLynch.html
MichaelFenton.html
DavidFagan.html
StepanKucera.html
HolgerClaussen.html
MichaelO'Neill.html
http___human-competitive.org_sites_default_files_automated_self-optimization_in_heterogeneous_wireless_communications_networks.pdf http://human-competitive.org/sites/default/files/automated_self-optimization_in_heterogeneous_wireless_communications_networks.pdf
http___dx.doi.org_10.1109_TNET.2018.2890547 http://dx.doi.org/10.1109/TNET.2018.2890547
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DavidLynch.html
TakfarinasSaber.html
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HolgerClaussen.html
MichaelO'Neill.html
http___dx.doi.org_10.1145_3321707.3321853 http://dx.doi.org/10.1145/3321707.3321853
Lynch:2020:PPSN Program Synthesis in a Continuous Space using Grammars and Variational Autoencoders
DavidLynch.html
JamesMcDermott.html
MichaelO'Neill.html
http___dx.doi.org_10.1007_978-3-030-58115-2_3 http://dx.doi.org/10.1007/978-3-030-58115-2_3
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TomaszLysek.html
MariuszBoryczka.html
http___dx.doi.org_10.1007_978-3-319-11289-3 http://dx.doi.org/10.1007/978-3-319-11289-3
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JiriLysek.html
JiriStastny.html
http___link.springer.com_chapter_10.1007_978-3-319-97888-8_17 http://link.springer.com/chapter/10.1007/978-3-319-97888-8_17
http___dx.doi.org_10.1007_978-3-319-97888-8_17 http://dx.doi.org/10.1007/978-3-319-97888-8_17
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HaozhouLyu.html
GregoryGay.html
MaikoSakamoto.html
http___dx.doi.org_10.1007_978-3-031-48796-5_3 http://dx.doi.org/10.1007/978-3-031-48796-5_3
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KalleLyytinen.html
JeffreyVNickerson.html
JohnLeslieKing.html
https___journals.sagepub.com_doi_pdf_10.1177_0268396220915917 https://journals.sagepub.com/doi/pdf/10.1177/0268396220915917
http___dx.doi.org_10.1177_0268396220915917 http://dx.doi.org/10.1177/0268396220915917
m:2022:Polymers Beta-Glucan as a Sustainable Alternative to Stabilize Pavement Subgrade
VishweshwaranM.html
EvangelinRamaniSujatha.html
https___www.mdpi.com_2073-4360_14_14_2850 https://www.mdpi.com/2073-4360/14/14/2850
http___dx.doi.org_10.3390_polym14142850 http://dx.doi.org/10.3390/polym14142850
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BaoshanMa.html
XiangtianJiao.html
FanyuMeng.html
FengpingXu.html
YaoGeng.html
RubinGao.html
WeiWang.html
YeqingSun.html
http___dx.doi.org_10.1109_ACCESS.2019.2935216 http://dx.doi.org/10.1109/ACCESS.2019.2935216
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Cai-YunMa.html
FrancesVBuontempo.html
XueZhongWang.html
http___dx.doi.org_10.1016_S1570-7946_08_80102-2 http://dx.doi.org/10.1016/S1570-7946(08)80102-2
http___www.sciencedirect.com_science_article_B8G5G-4TK2DGX-3M_2_2d0cbf83807000db928a8f08986360cf http://www.sciencedirect.com/science/article/B8G5G-4TK2DGX-3M/2/2d0cbf83807000db928a8f08986360cf
Ma20091602 Inductive data mining based on genetic programming: Automatic generation of decision trees from data for process historical data analysis
Cai-YunMa.html
XueZhongWang.html
http___dx.doi.org_10.1016_j.compchemeng.2009.04.005 http://dx.doi.org/10.1016/j.compchemeng.2009.04.005
http___www.sciencedirect.com_science_article_B6TFT-4W7420M-3_2_7984765c8dbd5fb91cfbad06b2673cd3 http://www.sciencedirect.com/science/article/B6TFT-4W7420M-3/2/7984765c8dbd5fb91cfbad06b2673cd3
Ma:2011:IJMIC Inductive data mining: automatic generation of decision trees from data for QSAR modelling and process historical data analysis
Cai-YunMa.html
FrancesVBuontempo.html
XueZhongWang.html
http___www.inderscience.com_link.php_id_37837 http://www.inderscience.com/link.php?id=37837
http___dx.doi.org_10.1504_IJMIC.2011.037837 http://dx.doi.org/10.1504/IJMIC.2011.037837
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HangMa.html
ChengZhang.html
TonyZhongshunShi.html
http___dx.doi.org_10.1109_CASE49997.2022.9926615 http://dx.doi.org/10.1109/CASE49997.2022.9926615
journals/tlsdkcs/MaWZ15 A Hybrid Approach Using Genetic Programming and Greedy Search for QoS-Aware Web Service Composition
HuiMa.html
AnqiWang.html
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http___dx.doi.org_10.1007_978-3-662-46485-4 http://dx.doi.org/10.1007/978-3-662-46485-4
http___dx.doi.org_10.1007_978-3-662-46485-4_7 http://dx.doi.org/10.1007/978-3-662-46485-4_7
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IrwinMa.html
TonyWong.html
ThiagasSankar.html
http___gpbib.cs.ucl.ac.uk_gecco2007_docs_p2262.pdf http://gpbib.cs.ucl.ac.uk/gecco2007/docs/p2262.pdf
http___dx.doi.org_10.1145_1276958.1277397 http://dx.doi.org/10.1145/1276958.1277397
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JianbinMa.html
Xiaoying_Sharon_Gao.html
http___dx.doi.org_10.1016_j.knosys.2020.105806 http://dx.doi.org/10.1016/j.knosys.2020.105806
http___www.sciencedirect.com_science_article_pii_S095070512030191X http://www.sciencedirect.com/science/article/pii/S095070512030191X
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JianbinMa.html
GuifaTeng.html
http___dx.doi.org_10.1016_j.asoc.2019.04.039 http://dx.doi.org/10.1016/j.asoc.2019.04.039
http___www.sciencedirect.com_science_article_pii_S1568494619302315 http://www.sciencedirect.com/science/article/pii/S1568494619302315
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JianbinMa.html
Xiaoying_Sharon_Gao.html
http___dx.doi.org_10.1016_j.asoc.2020.106826 http://dx.doi.org/10.1016/j.asoc.2020.106826
https___www.sciencedirect.com_science_article_pii_S156849462030764X https://www.sciencedirect.com/science/article/pii/S156849462030764X
Ma:2012:IBICA Design of Composite Image Filters Using Interactive Genetic Programming
JingyeMa.html
HideyukiTakagi.html
http___dx.doi.org_10.1109_IBICA.2012.45 http://dx.doi.org/10.1109/IBICA.2012.45
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JunMa3.html
FenghuiGao.html
ShuangrongLiu.html
LinWang.html
http___dx.doi.org_10.1145_3449726.3459498 http://dx.doi.org/10.1145/3449726.3459498
Ma:2007:ca Carbon Potential Using Genetic Programming
XiaoliMa.html
GuifaTeng.html
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Ma:2023:ICUS Evolving Behavior Trees for Self-Adaptive Source Searching in Indoor Environments
XinyuMa.html
HaiZhu.html
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http___dx.doi.org_10.1109_ICUS58632.2023.10318502 http://dx.doi.org/10.1109/ICUS58632.2023.10318502
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EmadHAMabrouk.html
http___www-optima.amp.i.kyoto-u.ac.jp_result_doctor.html http://www-optima.amp.i.kyoto-u.ac.jp/result/doctor.html
http___www-optima.amp.i.kyoto-u.ac.jp_result_doctordoc_Emad_Thesis.pdf http://www-optima.amp.i.kyoto-u.ac.jp/result/doctordoc/Emad_Thesis.pdf
Mabrouk:2011:ALR Prime number generation using memetic programming
EmadHAMabrouk.html
JulioCesarHernandez-Castro.html
MasaoFukushima.html
http___dx.doi.org_10.1007_s10015-011-0890-3 http://dx.doi.org/10.1007/s10015-011-0890-3
Fatma_Abdalla_Mabrouk_thesis Database Hiding in Tag Web Using Steganography by Genetic Algorithm
FatmaAbdallaMabrouk.html
http___repository.ribat.edu.sd_showRepositoryDetails_459 http://repository.ribat.edu.sd/showRepositoryDetails/459
http___repository.ribat.edu.sd_public_uploads_upload_repository_database_20hiding_20in_20tag_20web_20using_20steganography_20by_1905996734.pdf http://repository.ribat.edu.sd/public/uploads/upload/repository/database%20hiding%20in%20tag%20web%20using%20steganography%20by_1905996734.pdf
mabrouk:2022:Electronics Immune System Programming: A Machine Learning Approach Based on Artificial Immune Systems Enhanced by Local Search
EmadHAMabrouk.html
YaraRaslan.html
Abdel-RahmanHedar.html
https___www.mdpi.com_2079-9292_11_7_982 https://www.mdpi.com/2079-9292/11/7/982
http___dx.doi.org_10.3390_electronics11070982 http://dx.doi.org/10.3390/electronics11070982
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ShingoMabu.html
KotaroHirasawa.html
JingluHu.html
JunichiMurata.html
http___dx.doi.org_10.1109_CEC.2002.1006254 http://dx.doi.org/10.1109/CEC.2002.1006254
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ShingoMabu.html
KotaroHirasawa.html
JingluHu.html
http___dx.doi.org_10.1109_CEC.2003.1299558 http://dx.doi.org/10.1109/CEC.2003.1299558
mabu:2004:lbp Genetic Network Programming with Reinforcement Learning and its Performance Evaluation
ShingoMabu.html
KotaroHirasawa.html
JingluHu.html
http___gpbib.cs.ucl.ac.uk_gecco2004_LBP036.pdf http://gpbib.cs.ucl.ac.uk/gecco2004/LBP036.pdf
Mabu:2006:CECsarsa Genetic Network Programming with Reinforcement Learning Using Sarsa Algorithm
ShingoMabu.html
HiroyukiHatakeyama.html
KotaroHirasawa.html
JingluHu.html
http___dx.doi.org_10.1109_CEC.2006.1688346 http://dx.doi.org/10.1109/CEC.2006.1688346
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ShingoMabu.html
YanChen.html
KotaroHirasawa.html
JingluHu.html
http___gpbib.cs.ucl.ac.uk_gecco2007_docs_p2263.pdf http://gpbib.cs.ucl.ac.uk/gecco2007/docs/p2263.pdf
http___dx.doi.org_10.1145_1276958.1277398 http://dx.doi.org/10.1145/1276958.1277398
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ShingoMabu.html
YanChen.html
EtsushiOhkawa.html
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http___gpbib.cs.ucl.ac.uk_gecco2008_docs_p1709.pdf http://gpbib.cs.ucl.ac.uk/gecco2008/docs/p1709.pdf
http___dx.doi.org_10.1145_1389095.1389421 http://dx.doi.org/10.1145/1389095.1389421
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ShingoMabu.html
YanChen.html
KotaroHirasawa.html
JingluHu.html
http___dx.doi.org_10.1109_CEC.2007.4424513 http://dx.doi.org/10.1109/CEC.2007.4424513
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ShingoMabu.html
KotaroHirasawa.html
http___dx.doi.org_10.1109_ICSMC.2009.5346275 http://dx.doi.org/10.1109/ICSMC.2009.5346275
Mabu:2011:ieeeSMC An Intrusion-Detection Model Based on Fuzzy Class-Association-Rule Mining Using Genetic Network Programming
ShingoMabu.html
CiChen.html
NannanLu.html
KaoruShimada.html
KotaroHirasawa.html
http___dx.doi.org_10.1109_TSMCC.2010.2050685 http://dx.doi.org/10.1109/TSMCC.2010.2050685
Mabu20113618 Efficient program generation by evolving graph structures with multi-start nodes
ShingoMabu.html
KotaroHirasawa.html
http___dx.doi.org_10.1016_j.asoc.2011.01.033 http://dx.doi.org/10.1016/j.asoc.2011.01.033
http___www.sciencedirect.com_science_article_B6W86-5230PMW-2_2_83938061ebc19cc5a8ad1b3aa41d96c3 http://www.sciencedirect.com/science/article/B6W86-5230PMW-2/2/83938061ebc19cc5a8ad1b3aa41d96c3
Mabu:2013:CEC A Variable Size Mechanism of Distributed Graph Programs for Creating Agent Behaviors
ShingoMabu.html
KotaroHirasawa.html
MasanaoObayashi.html
TakashiKuremoto.html
http___dx.doi.org_10.1109_CEC.2013.6557773 http://dx.doi.org/10.1109/CEC.2013.6557773
Mabu:2014:ESA A variable size mechanism of distributed graph programs and its performance evaluation in agent control problems
ShingoMabu.html
KotaroHirasawa.html
MasanaoObayashi.html
TakashiKuremoto.html
http___dx.doi.org_10.1016_j.eswa.2013.08.063 http://dx.doi.org/10.1016/j.eswa.2013.08.063
http___www.sciencedirect.com_science_article_pii_S0957417413006842 http://www.sciencedirect.com/science/article/pii/S0957417413006842
maccallum:2002:perlssp Evolving Perl code for protein secondary structure prediction
RobertMMacCallum.html
http___www.sbc.su.se__maccallr_publications_maccallum_ppsn02_workshop.pdf http://www.sbc.su.se/~maccallr/publications/maccallum_ppsn02_workshop.pdf
http___www.sbc.su.se__maccallr_publications_maccallum_ppsn02_talk.pdf http://www.sbc.su.se/~maccallr/publications/maccallum_ppsn02_talk.pdf
maccallum03 Introducing a Perl Genetic Programming System: and Can Meta-evolution Solve the Bloat Problem?
RobertMMacCallum.html
http___www.sbc.su.se__maccallr_publications_perlgp_eurogp2003.pdf http://www.sbc.su.se/~maccallr/publications/perlgp_eurogp2003.pdf
http___dx.doi.org_10.1007_3-540-36599-0_34 http://dx.doi.org/10.1007/3-540-36599-0_34
maccallum:2003:perlgp PerlGP - The Manual
RobertMMacCallum.html
http___perlgp.org_docs_manual_manual.pdf http://perlgp.org/docs/manual/manual.pdf
MacCallum:2004:BI Striped sheets and protein contact prediction
RobertMMacCallum.html
http___bioinformatics.oxfordjournals.org_cgi_reprint_20_suppl_1_i224.pdf http://bioinformatics.oxfordjournals.org/cgi/reprint/20/suppl_1/i224.pdf
http___dx.doi.org_10.1093_bioinformatics_bth913 http://dx.doi.org/10.1093/bioinformatics/bth913
MacCallum:2012:PNAS Evolution of music by public choice
RobertMMacCallum.html
MatthiasMauch.html
AustinBurt.html
ArmandMLeroi.html
http___dx.doi.org_10.1073_pnas.1203182109 http://dx.doi.org/10.1073/pnas.1203182109
Maceda:2018:jGDR Artificial intelligence control applied to drag reduction of the fluidic pinball
GuyYoslanCornejoMaceda.html
BerndRNoack.html
FrancoisLusseyran.html
MarekMorzynski.html
LucPastur.html
NanDeng.html
https___hal.archives-ouvertes.fr_hal-02387548 https://hal.archives-ouvertes.fr/hal-02387548
Maceda:2018:EFMC Taming the fluidic pinball with artificial intelligence control
GuyYoslanCornejoMaceda.html
BerndRNoack.html
FrancoisLusseyran.html
MarekMorzynski.html
LucPastur.html
NanDeng.html
https___hal.archives-ouvertes.fr_hal-02387544 https://hal.archives-ouvertes.fr/hal-02387544
Maceda:2019:PAMM Artificial intelligence control applied to drag reduction of the fluidic pinball
GuyYoslanCornejoMaceda.html
BerndRNoack.html
FrancoisLusseyran.html
MarekMorzynski.html
NanDeng.html
LucPastur.html
https___hal.archives-ouvertes.fr_hal-02387482 https://hal.archives-ouvertes.fr/hal-02387482
http___dx.doi.org_10.1002_pamm.201900268 http://dx.doi.org/10.1002/pamm.201900268
Maceda:2019:GAMM Artificial intelligence control applied to drag reduction of the fluidic pinball
GuyYoslanCornejoMaceda.html
BerndRNoack.html
FrancoisLusseyran.html
NanDeng.html
LucPastur.html
MarekMorzynski.html
https___hal.archives-ouvertes.fr_hal-02398649 https://hal.archives-ouvertes.fr/hal-02398649
https___hal.archives-ouvertes.fr_hal-02398649_file_2019_PAMM_CornejoMaceda_SUBMITTED.pdf https://hal.archives-ouvertes.fr/hal-02398649/file/2019_PAMM_CornejoMaceda_SUBMITTED.pdf
http___dx.doi.org_10.1002_pamm.201900268 http://dx.doi.org/10.1002/pamm.201900268
Maceda:2019:jdf Apprentissage automatique de lois de controle d'ecoulement par intelligence artificielle
GuyYoslanCornejoMaceda.html
BerndRNoack.html
FrancoisLusseyran.html
MarekMorzynski.html
NanDeng.html
LucPastur.html
https___hal.archives-ouvertes.fr_hal-02263719 https://hal.archives-ouvertes.fr/hal-02263719
conf/evoW/MacedoCM16 Genetic Programming Algorithms for Dynamic Environments
JoaoMacedo.html
ErnestoCosta.html
LinoMarques.html
http___dx.doi.org_10.1007_978-3-319-31153-1 http://dx.doi.org/10.1007/978-3-319-31153-1
http___dx.doi.org_10.1007_978-3-319-31153-1_19 http://dx.doi.org/10.1007/978-3-319-31153-1_19
Macedo:2016:ICARSC Evolving Neural Networks for Multi-robot Odor Search
JoaoMacedo.html
LinoMarques.html
ErnestoCosta.html
http___dx.doi.org_10.1109_ICARSC.2016.37 http://dx.doi.org/10.1109/ICARSC.2016.37
Macedo:2017:ieeeICARSC Robotic odour search: Evolving a robot's brain with Genetic Programming
JoaoMacedo.html
LinoMarques.html
ErnestoCosta.html
http___dx.doi.org_10.1109_ICARSC.2017.7964058 http://dx.doi.org/10.1109/ICARSC.2017.7964058
Macedo:2018:EuroGP Geometric Crossover in Syntactic Space
JoaoMacedo.html
CarlosMFonseca.html
ErnestoCosta.html
http___dx.doi.org_10.1007_978-3-319-77553-1_15 http://dx.doi.org/10.1007/978-3-319-77553-1_15
Macedo:2020:evoapplications Locating Odour Sources with Geometric Syntactic Genetic Programming
JoaoMacedo.html
LinoMarques.html
ErnestoCosta.html
https___www.youtube.com_watch_v_ZF-OZNJ4FU8 https://www.youtube.com/watch?v=ZF-OZNJ4FU8
http___dx.doi.org_10.1007_978-3-030-43722-0_14 http://dx.doi.org/10.1007/978-3-030-43722-0_14
Macedo:2021:IROS Evolving Infotaxis for Meandering Environments
JoaoMacedo.html
LinoMarques.html
ErnestoCosta.html
http___dx.doi.org_10.1109_IROS51168.2021.9636779 http://dx.doi.org/10.1109/IROS51168.2021.9636779
Macedo:2018:LA-CCI Hyper-Heuristics Using Genetic Programming to Time Series Forecasting
MarianaMacedo.html
CarlosHenriqueMacedodosSantos.html
EronitaMariaLuizinesVanLeijden.html
JoaoFaustoLorenzatodeOliveira.html
FernandoBuarquedeLimaNeto.html
HugoSiqueira.html
http___dx.doi.org_10.1109_LA-CCI.2018.8625240 http://dx.doi.org/10.1109/LA-CCI.2018.8625240
macedo:2022:GECCO Hybridizing Bio-Inspired Strategies with Infotaxis through Genetic Programming
JoaoMacedo.html
LinoMarques.html
ErnestoCosta.html
http___dx.doi.org_10.1145_3512290.3528739 http://dx.doi.org/10.1145/3512290.3528739
https___vimeo.com_723767120 https://vimeo.com/723767120
machado:1999:bbir Busy Beaver -- the Influence of Representation
PenousalMachado.html
FranciscoJoseBaptistaPereira.html
FAmilcarCardoso.html
ErnestoCosta.html
http___cisuc.dei.uc.pt_ecos_dlfile.php_fn_135_pub_eurogp99.pdf http://cisuc.dei.uc.pt/ecos/dlfile.php?fn=135_pub_eurogp99.pdf
http___dx.doi.org_10.1007_3-540-48885-5_3 http://dx.doi.org/10.1007/3-540-48885-5_3
oai:CiteSeerPSU:510392 GenCo: A project report
PenousalMachado.html
AndreDias.html
FAmilcarCardoso.html
http___eden.dei.uc.pt__machado_research_pdf_2001_ISAS-2001.pdf http://eden.dei.uc.pt/~machado/research/pdf/2001/ISAS-2001.pdf
http___citeseer.ist.psu.edu_510392.html http://citeseer.ist.psu.edu/510392.html
oai:CiteSeerPSU:508435 Giving Colour to Images
PenousalMachado.html
AndreDias.html
NunoDuarte.html
FAmilcarCardoso.html
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http___citeseer.ist.psu.edu_508435.html http://citeseer.ist.psu.edu/508435.html
oai:CiteSeerPSU:336117 Speeding up Genetic Programming
PenousalMachado.html
FAmilcarCardoso.html
http___eden.dei.uc.pt__machado_research_pdf_1999_cimaf99-fasteval.pdf http://eden.dei.uc.pt/~machado/research/pdf/1999/cimaf99-fasteval.pdf
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http___citeseer.ist.psu.edu_336117.html http://citeseer.ist.psu.edu/336117.html
Machado:2002:AI All the Truth About NEvAr
PenousalMachado.html
FAmilcarCardoso.html
http___dx.doi.org_10.1023_A_3A1013662402341 http://dx.doi.org/10.1023/A%3A1013662402341
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.304.9427 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.304.9427
http___dx.doi.org_10.1023_A_1013662402341 http://dx.doi.org/10.1023/A:1013662402341
machado:2004:rdbic Evolutionary Turing machines: The quest for busy beavers
PenousalMachado.html
FranciscoJoseBaptistaPereira.html
JorgeTavares.html
ErnestoCosta.html
FAmilcarCardoso.html
http___www.cisuc.uc.pt_acg_dlfile.php_fn_792_pub_Beaver-chapter-2004.pdf http://www.cisuc.uc.pt/acg/dlfile.php?fn=792_pub_Beaver-chapter-2004.pdf
http___dx.doi.org_10.4018_978-1-59140-312-8.ch002 http://dx.doi.org/10.4018/978-1-59140-312-8.ch002
Machado2007818 On the development of evolutionary artificial artists
PenousalMachado.html
JuanJesusRomeroCardalda.html
AntoninoSantosdelRiego.html
FAmilcarCardoso.html
AlejandroPazosSierra.html
http___dx.doi.org_10.1016_j.cag.2007.08.010 http://dx.doi.org/10.1016/j.cag.2007.08.010
http___www.sciencedirect.com_science_article_B6TYG-4PTMXVB-1_2_0c81ca71ea76186b393615d17177d4de http://www.sciencedirect.com/science/article/B6TYG-4PTMXVB-1/2/0c81ca71ea76186b393615d17177d4de
machado:2011:EuroGP Evolving Fitness Functions for Mating Selection
PenousalMachado.html
AntonioLeitao.html
http___dx.doi.org_10.1007_978-3-642-20407-4_20 http://dx.doi.org/10.1007/978-3-642-20407-4_20
machado:2012:EuroGP Improving Face Detection
PenousalMachado.html
JoaoNunoGoncalvesCostaCavaleiroCorreia.html
JuanJesusRomeroCardalda.html
http___dx.doi.org_10.1007_978-3-642-29139-5_7 http://dx.doi.org/10.1007/978-3-642-29139-5_7
Machado:2012:EvoMUSART Expression-Based Evolution of Faces
PenousalMachado.html
JoaoNunoGoncalvesCostaCavaleiroCorreia.html
JuanJesusRomeroCardalda.html
http___dx.doi.org_10.1007_978-3-642-29142-5_17 http://dx.doi.org/10.1007/978-3-642-29142-5_17
Machado:2014:GECCO Semantic aware methods for evolutionary art
PenousalMachado.html
JoaoNunoGoncalvesCostaCavaleiroCorreia.html
http___doi.acm.org_10.1145_2576768.2598293 http://doi.acm.org/10.1145/2576768.2598293
http___dx.doi.org_10.1145_2576768.2598293 http://dx.doi.org/10.1145/2576768.2598293
Machado:2015:GP Proceedings of the 18th European Conference on Genetic Programming, EuroGP 2015
PenousalMachado.html
MalcolmHeywood.html
JamesMcDermott.html
MauroCastelli.html
PabloGarcia-Sanchez.html
PaoloBurelli.html
SebastianRisi.html
KevinSim.html
http___dx.doi.org_10.1007_978-3-319-16501-1 http://dx.doi.org/10.1007/978-3-319-16501-1
Machado:2015:hbgpa Graph-Based Evolutionary Art
PenousalMachado.html
JoaoNunoGoncalvesCostaCavaleiroCorreia.html
FilipeAssuncao.html
http___dx.doi.org_10.1007_978-3-319-20883-1_1 http://dx.doi.org/10.1007/978-3-319-20883-1_1
Machado:2022:GPTP GP-Based Generative Adversarial Models
PenousalMachado.html
FranciscoBaeta.html
TiagoMartins.html
JoaoNunoGoncalvesCostaCavaleiroCorreia.html
http___dx.doi.org_10.1007_978-981-19-8460-0_6 http://dx.doi.org/10.1007/978-981-19-8460-0_6
Machova:2018:DISA Genetic Programming in the Authority of a Web Discussion Identification
KristinaMachova.html
MarianMach.html
http___dx.doi.org_10.1109_DISA.2018.8490640 http://dx.doi.org/10.1109/DISA.2018.8490640
Mackin00 Unsupervised training of Multiobjective Agent Communication using Genetic Programming
KennethJMackin.html
EiichiroTazaki.html
http___www.lania.mx__ccoello_EMOO_mackin00.pdf.gz http://www.lania.mx/~ccoello/EMOO/mackin00.pdf.gz
http___dx.doi.org_10.1109_KES.2000.884152 http://dx.doi.org/10.1109/KES.2000.884152
mackin:2002:K Multiagent communication combining genetic programming and pheromone communication
KennethJMackin.html
EiichiroTazaki.html
http___dx.doi.org_10.1108_03684920210432808 http://dx.doi.org/10.1108/03684920210432808
mac:2018:AJCAI An Improved Genetic Programming Hyper-Heuristic for the Uncertain Capacitated Arc Routing Problem
JordanMacLachlan.html
YiMei.html
JurgenBranke.html
MengjieZhang.html
http___link.springer.com_chapter_10.1007_978-3-030-03991-2_40 http://link.springer.com/chapter/10.1007/978-3-030-03991-2_40
http___dx.doi.org_10.1007_978-3-030-03991-2_40 http://dx.doi.org/10.1007/978-3-030-03991-2_40
MacLachlan:ECJ:gphh Genetic Programming Hyper-Heuristics with Vehicle Collaboration for Uncertain Capacitated Arc Routing Problems
JordanMacLachlan.html
YiMei.html
JurgenBranke.html
MengjieZhang.html
https___doi.org_10.1162_evco_a_00267 https://doi.org/10.1162/evco_a_00267
http___dx.doi.org_10.1162_evco_a_00267 http://dx.doi.org/10.1162/evco_a_00267
MacLachlan:2021:CEC Look-Ahead Genetic Programming for Uncertain Capacitated Arc Routing Problem
JordanMacLachlan.html
YiMei.html
http___dx.doi.org_10.1109_CEC45853.2021.9504785 http://dx.doi.org/10.1109/CEC45853.2021.9504785
MacLachlan:2022:CEC Genetic Programming for Vehicle Subset Selection in Ambulance Dispatching
JordanMacLachlan.html
YiMei.html
FangfangZhang.html
MengjieZhang.html
http___dx.doi.org_10.1109_CEC55065.2022.9870323 http://dx.doi.org/10.1109/CEC55065.2022.9870323
MacLachlan:2023:GECCO Learning Emergency Medical Dispatch Policies via Genetic Programming
JordanMacLachlan.html
YiMei.html
FangfangZhang.html
MengjieZhang.html
JessicaSignal.html
https___human-competitive.org_sites_default_files_maclachlan_entry_form.txt https://human-competitive.org/sites/default/files/maclachlan_entry_form.txt
https___human-competitive.org_sites_default_files_gphhemd_maclacjord.pdf https://human-competitive.org/sites/default/files/gphhemd_maclacjord.pdf
http___dx.doi.org_10.1145_3583131.3590434 http://dx.doi.org/10.1145/3583131.3590434
maclean:2004:GPTP Listening to Data: Tuning a Genetic Programming System
DuncanMacLean.html
EricAWollesen.html
WilliamPWorzel.html
http___dx.doi.org_10.1007_0-387-23254-0_15 http://dx.doi.org/10.1007/0-387-23254-0_15
Macret2013aa Automatic tuning of the OP-1 synthesizer using a multi-objective genetic algorithm
MatthieuMacret.html
http___summit.sfu.ca_item_13452 http://summit.sfu.ca/item/13452
Macret:2014:GECCO Automatic design of sound synthesizers as pure data patches using coevolutionary mixed-typed cartesian genetic programming
MatthieuMacret.html
PhilippePasquier.html
http___doi.acm.org_10.1145_2576768.2598303 http://doi.acm.org/10.1145/2576768.2598303
http___dx.doi.org_10.1145_2576768.2598303 http://dx.doi.org/10.1145/2576768.2598303
IAT814_MACRET Information Flocking Applied to Genetic Programming Visualization
MatthieuMacret.html
https___matthieumacret.com_pdf_IAT814_MACRET.pdf https://matthieumacret.com/pdf/IAT814_MACRET.pdf
MADAENI:2020:CRST Ice jam formation, breakup and prediction methods based on hydroclimatic data using artificial intelligence: A review
FatemehalsadatMadaeni.html
RachidLhissou.html
KaremChokmani.html
SebastienRaymond.html
YvesGauthier.html
http___www.sciencedirect.com_science_article_pii_S0165232X18304634 http://www.sciencedirect.com/science/article/pii/S0165232X18304634
http___dx.doi.org_10.1016_j.coldregions.2020.103032 http://dx.doi.org/10.1016/j.coldregions.2020.103032
madar:2005:IECR Genetic Programming for the Identification of Nonlinear Input-Output Models
JanosMadar.html
JanosAbonyi.html
FerencSzeifert.html
http___www.fmt.vein.hu_softcomp_gp_ie049626e.pdf http://www.fmt.vein.hu/softcomp/gp/ie049626e.pdf
http___dx.doi.org_10.1021_ie049626e http://dx.doi.org/10.1021/ie049626e
Madar_Janos_theses_hu Application of A Priori Knowledge in Chemical Engineering
JanosMadar.html
http___konyvtar.uni-pannon.hu_doktori_bovebb_en.php_id_139 http://konyvtar.uni-pannon.hu/doktori/bovebb_en.php?id=139
http___konyvtar.uni-pannon.hu_doktori_2005_Madar_Janos_theses_hu.pdf http://konyvtar.uni-pannon.hu/doktori/2005/Madar_Janos_theses_hu.pdf
http___konyvtar.uni-pannon.hu_doktori_2005_Madar_Janos_theses_en.pdf http://konyvtar.uni-pannon.hu/doktori/2005/Madar_Janos_theses_en.pdf
Madhubala:2014:ICRTIT Nature Inspired Enhanced Data Deduplication for Efficient Cloud Storage
GMadhubala.html
RPriyadharshini.html
PRanjitham.html
SanthiBaskaran.html
http___dx.doi.org_10.1109_ICRTIT.2014.6996211 http://dx.doi.org/10.1109/ICRTIT.2014.6996211
madjidi:1996:3SE Genetic Programming and analysis of high frequency financial data
PayamMadjidi.html
http___www.pdc.kth.se__payam_pub_gp.ps http://www.pdc.kth.se/~payam/pub/gp.ps
madokoro:2021:Algorithms Automatic Calibration of Piezoelectric Bed-Leaving Sensor Signals Using Genetic Network Programming Algorithms
HirokazuMadokoro.html
StephanieNix.html
KazuhitoSato.html
https___www.mdpi.com_1999-4893_14_4_117 https://www.mdpi.com/1999-4893/14/4/117
http___dx.doi.org_10.3390_a14040117 http://dx.doi.org/10.3390/a14040117
Madureira:2018:SBSE Coordination of inverse-time overcurrent relays with fuses using genetic algorithm
VinociusSouzaMadureira.html
ThiagoCorreiaVieira.html
http___dx.doi.org_10.1109_SBSE.2018.8395627 http://dx.doi.org/10.1109/SBSE.2018.8395627
DBLP:journals/jca/MaedaS07 Identifying Cellular Automata Rules
Ken-ichiMaeda.html
ChiakiSakama.html
http___www.oldcitypublishing.com_JCA_JCAabstracts_JCA2.1abstracts_JCAv2n1p1-20Maeda.html http://www.oldcitypublishing.com/JCA/JCAabstracts/JCA2.1abstracts/JCAv2n1p1-20Maeda.html
http___www.sys.wakayama-u.ac.jp__sakama_papers_jca07.pdf http://www.sys.wakayama-u.ac.jp/~sakama/papers/jca07.pdf
Maeda:2000:GECCO Redundant Node Pruning and Adaptive Search Method for Genetic Programming
YoichiroMaeda.html
SatomiKawaguchi.html
http___gpbib.cs.ucl.ac.uk_gecco2000_GP102.pdf http://gpbib.cs.ucl.ac.uk/gecco2000/GP102.pdf
http___gpbib.cs.ucl.ac.uk_gecco2000_GP102.ps http://gpbib.cs.ucl.ac.uk/gecco2000/GP102.ps
Maertens:2017:EuroGP Symbolic Regression on Network Properties
MarcusMaertens.html
FernandoKuipers.html
PietVanMieghem.html
http___dx.doi.org_10.1007_978-3-319-55696-3_9 http://dx.doi.org/10.1007/978-3-319-55696-3_9
Maertens:thesis Information Propagation in Complex Networks Structures and Dynamics
MarcusMaertens.html
https___repository.tudelft.nl_islandora_object_uuid_b1a1ead7-a631-4f05-b9a9-17a1be6e15e1 https://repository.tudelft.nl/islandora/object/uuid:b1a1ead7-a631-4f05-b9a9-17a1be6e15e1
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http___dx.doi.org_10.4233_uuid_b1a1ead7-a631-4f05-b9a9-17a1be6e15e1 http://dx.doi.org/10.4233/uuid:b1a1ead7-a631-4f05-b9a9-17a1be6e15e1
DBLP:conf/pkdd/MaesGW12 Embedding Monte Carlo Search of Features in Tree-Based Ensemble Methods
FrancisMaes.html
PierreGeurts.html
LouisWehenkel.html
http___dx.doi.org_10.1007_978-3-642-33460-3_18 http://dx.doi.org/10.1007/978-3-642-33460-3_18
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DimmyMagalhaes.html
RicardoHenriqueRemesdeLima.html
AuroraTrinidadRamirezPozo.html
https___www.sciencedirect.com_science_article_pii_S1568494623000273 https://www.sciencedirect.com/science/article/pii/S1568494623000273
http___dx.doi.org_10.1016_j.asoc.2023.110009 http://dx.doi.org/10.1016/j.asoc.2023.110009
https___doi.org_10.24433_CO.5469683.v1 https://doi.org/10.24433/CO.5469683.v1
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LeticiaMagalhaesMendes.html
ElloaBarretoGuedesdaCosta.html
https___biblioteca.sbrt.org.br_articlefile_2852.pdf https://biblioteca.sbrt.org.br/articlefile/2852.pdf
Magalhaes-Ribeiro:2018:RITA A Genetic Programming Model for Association Studies to Detect Epistasis in Low Heritability Data
IgorMagalhaesRibeiro.html
CarlosCristianoHasencleverBorges.html
BrunoZonovellidaSilva.html
WagnerArbex.html
https___seer.ufrgs.br_rita_article_view_RITA-VOL-25-NR2-85 https://seer.ufrgs.br/rita/article/view/RITA-VOL-25-NR2-85
https___seer.ufrgs.br_rita_article_view_RITA-VOL-25-NR2-85_pdf https://seer.ufrgs.br/rita/article/view/RITA-VOL-25-NR2-85/pdf
http___dx.doi.org_10.22456_2175-2745.79333 http://dx.doi.org/10.22456/2175-2745.79333
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WalidMagdy.html
https___rdcu.be_cAfXL https://rdcu.be/cAfXL
http___dx.doi.org_10.1007_s10710-021-09420-w http://dx.doi.org/10.1007/s10710-021-09420-w
Maghazeh:2013:SAMOS General purpose computing on low-power embedded GPUs: Has it come of age?
ArianMaghazeh.html
UnmeshDBordoloi.html
PetruEles.html
ZeboPeng.html
http___dx.doi.org_10.1109_SAMOS.2013.6621099 http://dx.doi.org/10.1109/SAMOS.2013.6621099
Maghazeh1268932 System-Level Design of GPU-Based Embedded Systems
ArianMaghazeh.html
https___books.google.co.uk_books_about_System_Level_Design_of_GPU_Based_Embedde.html_id_139-DwAAQBAJ_redir_esc_y https://books.google.co.uk/books/about/System_Level_Design_of_GPU_Based_Embedde.html?id=139-DwAAQBAJ&redir_esc=y
http___liu.diva-portal.org_smash_get_diva2_1268932_FULLTEXT02.pdf http://liu.diva-portal.org/smash/get/diva2:1268932/FULLTEXT02.pdf
http___dx.doi.org_10.3384_diss.diva-152469 http://dx.doi.org/10.3384/diss.diva-152469
Maghoumi:2014:CIMSIVP A comparison of genetic programming feature extraction languages for image classification
MMaghoumi.html
BrianJRoss.html
http___dx.doi.org_10.1109_CIMSIVP.2014.7013278 http://dx.doi.org/10.1109/CIMSIVP.2014.7013278
Magnusson:2016:GECCO Improving the Canny Edge Detector Using Automatic Programming: Improving Non-Max Suppression
LarsVidarMagnusson.html
JRolandOlsson.html
http___dx.doi.org_10.1145_2908812.2908926 http://dx.doi.org/10.1145/2908812.2908926
Magnusson:2016:ICIVC Improving the Canny edge detector using automatic programming: Improving the filter
LarsVidarMagnusson.html
JRolandOlsson.html
http___dx.doi.org_10.1109_ICIVC.2016.7571270 http://dx.doi.org/10.1109/ICIVC.2016.7571270
Magnusson:2023:MIS Recurrent Neural Networks for Oil Well Event Prediction
LarsVidarMagnusson.html
JRolandOlsson.html
ChauThiThuyTran.html
http___dx.doi.org_10.1109_MIS.2023.3252446 http://dx.doi.org/10.1109/MIS.2023.3252446
Magsumbol:2021:HNICEM Multigene Genetic Programming Model for Temperature Optimization to Improve Lettuce Quality
Jo-AnnVMagsumbol.html
MariaGemelBPalconit.html
LovelynCGarcia.html
MarifeARosales.html
ArgelABandala.html
ElmerJosePDadios.html
http___dx.doi.org_10.1109_HNICEM54116.2021.9731974 http://dx.doi.org/10.1109/HNICEM54116.2021.9731974
Mahadev:2020:IJERT Estimation of Effort in Software Projects using Genetic Programming
KMukeshMahadev.html
GGowrishankar.html
https___www.ijert.org_research_estimation-of-effort-in-software-projects-using-genetic-programming-IJERTV9IS070478.pdf https://www.ijert.org/research/estimation-of-effort-in-software-projects-using-genetic-programming-IJERTV9IS070478.pdf
http___dx.doi.org_10.17577_IJERTV9IS070478 http://dx.doi.org/10.17577/IJERTV9IS070478
Mahajan:2008:ieeeICCI Superblock scheduling using genetic programming for embedded systems
AnjaliMahajan.html
MSAli.html
http___dx.doi.org_10.1109_COGINF.2008.4639177 http://dx.doi.org/10.1109/COGINF.2008.4639177
mahalakshmi:2019:ICTIS Comparison of BOD5 Removal in Water Hyacinth and Duckweed by Genetic Programming
RamKumarMahalakshmi.html
CSivapragasam.html
SankararajanVanitha.html
http___link.springer.com_chapter_10.1007_978-981-13-1742-2_39 http://link.springer.com/chapter/10.1007/978-981-13-1742-2_39
http___dx.doi.org_10.1007_978-981-13-1742-2_39 http://dx.doi.org/10.1007/978-981-13-1742-2_39
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GMahalakshmiMalini.html
RSudarmani.html
https___www.lap-publishing.com_catalog_details_store_gb_book_978-620-2-56362-8_genetic-algorithm-based-canny-distributed-edge-detection-using-xilinx https://www.lap-publishing.com/catalog/details/store/gb/book/978-620-2-56362-8/genetic-algorithm-based-canny-distributed-edge-detection-using-xilinx
https___www.amazon.co.uk_GENETIC-ALGORITHM-DISTRIBUTED-DETECTION-XILINX_dp_6202563621 https://www.amazon.co.uk/GENETIC-ALGORITHM-DISTRIBUTED-DETECTION-XILINX/dp/6202563621
Mahanipour:2018:CSIEC Using fuzzy-rough set feature selection for feature construction based on genetic programming
AfsanehMahanipour.html
HosseinNezamabadi-pour.html
BaharehNikpour.html
http___dx.doi.org_10.1109_CSIEC.2018.8405407 http://dx.doi.org/10.1109/CSIEC.2018.8405407
mahapatra:2018:NIC Medical Diagnosing of Canine Diseases Using Genetic Programming and Neural Networks
CosmenaMahapatra.html
http___link.springer.com_chapter_10.1007_978-981-10-6747-1_22 http://link.springer.com/chapter/10.1007/978-981-10-6747-1_22
http___dx.doi.org_10.1007_978-981-10-6747-1_22 http://dx.doi.org/10.1007/978-981-10-6747-1_22
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KarimMahboub.html
https___tel.archives-ouvertes.fr_tel-00696675_file_manuscript.pdf https://tel.archives-ouvertes.fr/tel-00696675/file/manuscript.pdf
https___tel.archives-ouvertes.fr_tel-00696675 https://tel.archives-ouvertes.fr/tel-00696675
Harman:2002:GPEM Book Review: Automatic Re-Engineering of Software Using Genetic Programming
KiarashMahdavi.html
MarkHarman.html
http___dx.doi.org_10.1023_A_1015536110241 http://dx.doi.org/10.1023/A:1015536110241
Mahdiani:2016:Petroleum The most accurate heuristic-based algorithms for estimating the oil formation volume factor
MohammadRezaMahdiani.html
GhazalKooti.html
http___dx.doi.org_10.1016_j.petlm.2015.12.001 http://dx.doi.org/10.1016/j.petlm.2015.12.001
http___www.sciencedirect.com_science_article_pii_S240565611600002X http://www.sciencedirect.com/science/article/pii/S240565611600002X
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RezaMahdiHadi.html
SaeidShokri.html
PeymanAyubi.html
http___dx.doi.org_10.1109_ICCKE.2013.6682804 http://dx.doi.org/10.1109/ICCKE.2013.6682804
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MahboubehMahdizadeh.html
MehdiEftekhari.html
http___dx.doi.org_10.1109_IFSC.2013.6675611 http://dx.doi.org/10.1109/IFSC.2013.6675611
Maher:2013:ICA An Enhanced Genetic Programming Algorithm for Optimal Controller Design
RamiAbdulQadeMaher.html
MohamedJasimMohamedAlshemmery.html
http___www.scirp.org_journal_ica_ http://www.scirp.org/journal/ica/
http___www.scirp.org_journal_PaperDownload.aspx_paperID_27848 http://www.scirp.org/journal/PaperDownload.aspx?paperID=27848
http___dx.doi.org_10.4236_ica.2013.41013 http://dx.doi.org/10.4236/ica.2013.41013
Maher:2015:MCSI Design of a Discrete Deadbeat Controller Based on Block Diagram Oriented Genetic Programming
RamiAbdulQadeMaher.html
MohamedJasimMohamedAlshemmery.html
http___dx.doi.org_10.1109_MCSI.2015.27 http://dx.doi.org/10.1109/MCSI.2015.27
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RamiAbdulQadeMaher.html
MohamedJasimMohamedAlshemmery.html
http___wseas.org_wseas_cms.action_id_10192 http://wseas.org/wseas/cms.action?id=10192
http___www.wseas.org_multimedia_journals_control_2015_b605803-429.pdf http://www.wseas.org/multimedia/journals/control/2015/b605803-429.pdf
Maher:2017:ijmcs Identification of Nonlinear Discrete Systems Based Enhanced Genetic Programming
RamiAbdulQadeMaher.html
MohammadJMohammad.html
http___www.naun.org_cms.action_id_2826 http://www.naun.org/cms.action?id=2826
http___www.naun.org_cms.action_id_15242 http://www.naun.org/cms.action?id=15242
http___www.naun.org_main_NAUN_mcs_2017_a582002-010.pdf http://www.naun.org/main/NAUN/mcs/2017/a582002-010.pdf
Maher:2017:EECS Identification of Nonlinear Discrete Dynamic Systems Using Enhanced Genetic Programming
RamiAbdulQadeMaher.html
MohammadJMohammad.html
http___dx.doi.org_10.1109_EECS.2017.49 http://dx.doi.org/10.1109/EECS.2017.49
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PanditMahesha.html
DeepaliGupta.html
https___doi.org_10.23940_ijpe.21.09.p5.787795 https://doi.org/10.23940/ijpe.21.09.p5.787795
http___dx.doi.org_10.23940_ijpe.21.09.p5.787795 http://dx.doi.org/10.23940/ijpe.21.09.p5.787795
https___dblp.org_rec_journals_ijpe_MaheshaG21.bib https://dblp.org/rec/journals/ijpe/MaheshaG21.bib
conf/semcco/MaheswaranK11 Multi Resolution Genetic Programming Approach for Stream Flow Forecasting
RathinasamyMaheswaran.html
RakeshKhosa.html
http___dx.doi.org_10.1007_978-3-642-27172-4_84 http://dx.doi.org/10.1007/978-3-642-27172-4_84
Maheta:2015:ICCCI Classification of imbalanced data sets using Multi Objective Genetic Programming
HardikHMaheta.html
VipulKDabhi.html
http___dx.doi.org_10.1109_ICCCI.2015.7218125 http://dx.doi.org/10.1109/ICCCI.2015.7218125
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AyehMahjoubi.html
Karl-JohanGrinnemo.html
JavidTaheri.html
http___dx.doi.org_10.1109_CloudNet55617.2022.9978900 http://dx.doi.org/10.1109/CloudNet55617.2022.9978900
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SebastienMahler.html
DenisRobilliard.html
CyrilFonlupt.html
http___dx.doi.org_10.1007_978-3-540-31989-4_18 http://dx.doi.org/10.1007/978-3-540-31989-4_18
http___dx.doi.org_10.1007_b107383 http://dx.doi.org/10.1007/b107383
Mahlmann:2011:CIG Modelling and evaluation of complex scenarios with the Strategy Game Description Language
TobiasMahlmann.html
JulianTogelius.html
GeorgiosNYannakakis.html
http___cilab.sejong.ac.kr_cig2011_proceedings_CIG2011_papers_paper45.pdf http://cilab.sejong.ac.kr/cig2011/proceedings/CIG2011/papers/paper45.pdf
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MuhammadTariqMahmood.html
AbdulMajid.html
TaeSunChoi.html
http___dx.doi.org_10.1016_j.ins.2010.11.039 http://dx.doi.org/10.1016/j.ins.2010.11.039
http___www.sciencedirect.com_science_article_B6V0C-51N22D2-3_2_463bf41cb8ecb1292e814f690c94cf70 http://www.sciencedirect.com/science/article/B6V0C-51N22D2-3/2/463bf41cb8ecb1292e814f690c94cf70
Mahmood:2012:dm3dia Combining Focus Measures for Three Dimensional Shape Estimation Using Genetic Programming
MuhammadTariqMahmood.html
TaeSunChoi.html
http___dx.doi.org_10.4018_978-1-61350-326-3.ch011 http://dx.doi.org/10.4018/978-1-61350-326-3.ch011
Mahmood:2013:EAAI Genetic programming based blind image deconvolution for surveillancesystems
MuhammadTariqMahmood.html
AbdulMajid.html
JongwooHan.html
YoungKyuChoi.html
http___dx.doi.org_10.1016_j.engappai.2012.08.001 http://dx.doi.org/10.1016/j.engappai.2012.08.001
http___www.sciencedirect.com_science_article_pii_S0952197612002023 http://www.sciencedirect.com/science/article/pii/S0952197612002023
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RezaGholamiMahmoodabadi.html
HaraldKoestler.html
http___doi.acm.org_10.1145_3067695.3082502 http://doi.acm.org/10.1145/3067695.3082502
http___dx.doi.org_10.1145_3067695.3082502 http://dx.doi.org/10.1145/3067695.3082502
MahmoodAlJuboori:2016:JH A stepwise model to predict monthly streamflow
AnasMahmoodAl-Juboori.html
AytacGuven.html
http___dx.doi.org_10.1016_j.jhydrol.2016.10.006 http://dx.doi.org/10.1016/j.jhydrol.2016.10.006
http___www.sciencedirect.com_science_article_pii_S0022169416306382 http://www.sciencedirect.com/science/article/pii/S0022169416306382
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SoranMahmoodpour.html
EhsanKamari.html
MohammadRezaEsfahani.html
AmirKarimiMehr.html
http___dx.doi.org_10.1016_j.petrol.2020.108102 http://dx.doi.org/10.1016/j.petrol.2020.108102
https___www.sciencedirect.com_science_article_pii_S0920410520311566 https://www.sciencedirect.com/science/article/pii/S0920410520311566
Mahmoud:2015:ECSJ Genetic Programming Based Position Estimator and Control Model for Tracking Wheeled Robot Curvatures
AbeerMMahmoud.html
http___ecsjournal.org_Archive_Volume39_Issue2_2.pdf http://ecsjournal.org/Archive/Volume39/Issue2/2.pdf
Maitre:2010:EuroGP Fast Evaluation of GP Trees on GPGPU by Optimizing Hardware Scheduling
OgierMaitre.html
PierreCollet.html
NicolasLachiche.html
http___dx.doi.org_10.1007_978-3-642-12148-7_26 http://dx.doi.org/10.1007/978-3-642-12148-7_26
Maitre:2010:cec EASEA Parallelization of Tree-Based Genetic Programming
OgierMaitre.html
StephaneQuerry.html
NicolasLachiche.html
PierreCollet.html
http___dx.doi.org_10.1109_CEC.2010.5586258 http://dx.doi.org/10.1109/CEC.2010.5586258
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OgierMaitre.html
http___scd-theses.u-strasbg.fr_2456_01_MAITRE_Ogier_2011.pdf http://scd-theses.u-strasbg.fr/2456/01/MAITRE_Ogier_2011.pdf
Maitre:2013:ecgpu Genetic Programming on GPGPU cards using EASEA
OgierMaitre.html
http___www.springer.com_computer_ai_book_978-3-642-37958-1 http://www.springer.com/computer/ai/book/978-3-642-37958-1
http___dx.doi.org_10.1007_978-3-642-37959-8_11 http://dx.doi.org/10.1007/978-3-642-37959-8_11
Maity:2009:ISHjhe Hydroclimatological approach for Monthly Streamflow Prediction using Genetic programming
RajibMaity.html
SathishkumarShahajiraoKashid.html
http___www.tandfonline.com_doi_abs_10.1080_09715010.2009.10514943 http://www.tandfonline.com/doi/abs/10.1080/09715010.2009.10514943
http___dx.doi.org_10.1080_09715010.2009.10514943 http://dx.doi.org/10.1080/09715010.2009.10514943
Maity:2015:hbgpa Potential of Genetic Programming in Hydroclimatic Prediction of Droughts: An Indian Perspective
RajibMaity.html
KironmalaChanda.html
http___dx.doi.org_10.1007_978-3-319-20883-1_15 http://dx.doi.org/10.1007/978-3-319-20883-1_15
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HammadMajeed.html
ConorRyan.html
RMuhammadAtifAzad.html
http___gpbib.cs.ucl.ac.uk_gecco2005_docs_p1773.pdf http://gpbib.cs.ucl.ac.uk/gecco2005/docs/p1773.pdf
http___dx.doi.org_10.1145_1068009.1068304 http://dx.doi.org/10.1145/1068009.1068304
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HammadMajeed.html
http___gpbib.cs.ucl.ac.uk_gecco2005wks_papers_0378.pdf http://gpbib.cs.ucl.ac.uk/gecco2005wks/papers/0378.pdf
eurogp06:MajeedRyan A Less Destructive, Context-aware Crossover Operator for GP
HammadMajeed.html
ConorRyan.html
http___dx.doi.org_10.1007_11729976_4 http://dx.doi.org/10.1007/11729976_4
Majeed:2006:GPTP A re-examination of a real world blood flow modeling problem using context-aware crossover
HammadMajeed.html
ConorRyan.html
http___dx.doi.org_10.1007_978-0-387-49650-4_17 http://dx.doi.org/10.1007/978-0-387-49650-4_17
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HammadMajeed.html
ConorRyan.html
http___gpbib.cs.ucl.ac.uk_gecco2006_docs_p847.pdf http://gpbib.cs.ucl.ac.uk/gecco2006/docs/p847.pdf
http___dx.doi.org_10.1145_1143997.1144146 http://dx.doi.org/10.1145/1143997.1144146
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HammadMajeed.html
ConorRyan.html
http___gpbib.cs.ucl.ac.uk_gecco2007_docs_p1651.pdf http://gpbib.cs.ucl.ac.uk/gecco2007/docs/p1651.pdf
http___dx.doi.org_10.1145_1276958.1277285 http://dx.doi.org/10.1145/1276958.1277285
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HammadMajeed.html
ConorRyan.html
http___gpbib.cs.ucl.ac.uk_gecco2007_docs_p1659.pdf http://gpbib.cs.ucl.ac.uk/gecco2007/docs/p1659.pdf
http___dx.doi.org_10.1145_1276958.1277286 http://dx.doi.org/10.1145/1276958.1277286
Majeed:2007:FBIT A New Approach to Calculate the Best Context of a Tree and its Application in Defining a Constructive, Context Aware Crossover for GP
HammadMajeed.html
ConorRyan.html
http___dx.doi.org_10.1109_FBIT.2007.100 http://dx.doi.org/10.1109/FBIT.2007.100
Majeed:thesis The Importance of semantic context in tree based GP and its application in defining a less destructive, context aware crossover for GP
HammadMajeed.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_Majeed_thesis.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/Majeed_thesis.pdf
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MAJEED:2021:SEC Optimizing genetic programming by exploiting semantic impact of sub trees
HammadMajeed.html
AbdulWali.html
MirzaBeg.html
http___dx.doi.org_10.1016_j.swevo.2021.100923 http://dx.doi.org/10.1016/j.swevo.2021.100923
https___www.sciencedirect.com_science_article_pii_S2210650221000845 https://www.sciencedirect.com/science/article/pii/S2210650221000845
Majid:2004:ICMLA Improving Performance of Nearest Neighborhood Classifier Using Genetic Programming
AbdulMajid.html
AsifullahKhan.html
AnwarMMirza.html
http___dx.doi.org_10.1109_ICMLA.2004.1383552 http://dx.doi.org/10.1109/ICMLA.2004.1383552
10.1109/ICMLA.2005.42 Intelligent Combination of Kernels Information for Improved Classification
AbdulMajid.html
AsifullahKhan.html
AnwarMMirza.html
http___dx.doi.org_10.1109_ICMLA.2005.42 http://dx.doi.org/10.1109/ICMLA.2005.42
Majid:2005:INMIC Combination of Nearest Neighborhood Classifiers Using Genetic Programming
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AsifullahKhan.html
AnwarMMirza.html
http___dx.doi.org_10.1109_INMIC.2005.334486 http://dx.doi.org/10.1109/INMIC.2005.334486
Majid:2006:IJHIS Combination of support vector machines using genetic programming
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AsifullahKhan.html
AnwarMMirza.html
http___content.iospress.com_articles_international-journal-of-hybrid-intelligent-systems_his00026 http://content.iospress.com/articles/international-journal-of-hybrid-intelligent-systems/his00026
http___dx.doi.org_10.3233_HIS-2006-3204 http://dx.doi.org/10.3233/HIS-2006-3204
Majid:thesis Optimization and Combination of Classifiers Using Genetic Programming
AbdulMajid.html
https___www.hec.gov.pk_english_services_students_PCD_Pages_PCD.aspx_Paged_TRUE_p_ID_876 https://www.hec.gov.pk/english/services/students/PCD/Pages/PCD.aspx?Paged=TRUE&p_ID=876
http___prr.hec.gov.pk_Thesis_349S.pdf http://prr.hec.gov.pk/Thesis/349S.pdf
Majid:2010:ieeeICIP A novel noise-free pixels based impulse noise filtering
AbdulMajid.html
MuhammadTariqMahmood.html
TaeSunChoi.html
http___dx.doi.org_10.1109_ICIP.2010.5651975 http://dx.doi.org/10.1109/ICIP.2010.5651975
journals/kais/MajidLMC12 Impulse noise filtering based on noise-free pixels using genetic programming
AbdulMajid.html
Choong-HwanLee.html
MuhammadTariqMahmood.html
TaeSunChoi.html
http___dx.doi.org_10.1007_s10115-011-0456-7 http://dx.doi.org/10.1007/s10115-011-0456-7
Majid:2015:AA HBC-Evo: predicting human breast cancer by exploiting amino acid sequence-based feature spaces and evolutionary ensemble system
AbdulMajid.html
SafdarAli.html
http___dx.doi.org_10.1007_s00726-014-1871-3 http://dx.doi.org/10.1007/s00726-014-1871-3
http___dx.doi.org_10.1007_s00726-014-1871-3 http://dx.doi.org/10.1007/s00726-014-1871-3
Majoros:2007:CGP Methods for Computational Gene Prediction
WilliamHMajoros.html
http___www.cambridge.org_catalogue_catalogue.asp_isbn_9780521706940 http://www.cambridge.org/catalogue/catalogue.asp?isbn=9780521706940
Makanju:2008:ARES Adaptabilty of a GP Based IDS on Wireless Networks
TokunboMakanju.html
NurZincir-Heywood.html
EvangelosEMilios.html
http___dx.doi.org_10.1109_ARES.2008.50 http://dx.doi.org/10.1109/ARES.2008.50
makarov:1999:fpes:sfsdGP Fitting potential-energy surfaces: A search in the function space by directed genetic programming
DmitriiEMakarov.html
HoriaMetiu.html
http___dx.doi.org_10.1063_1.475421 http://dx.doi.org/10.1063/1.475421
makarov:2000:JPCA Using Genetic Programming To Solve the Schrodinger Equation
DmitriiEMakarov.html
HoriaMetiu.html
http___dx.doi.org_10.1021_jp000695q http://dx.doi.org/10.1021/jp000695q
Makkeasorn:2008:JH Short-term Streamflow Forecasting with Global Climate Change Implications - A Comparative Study between Genetic Programming and Neural Network Models
AMakkeasoyrn.html
Ni-BinChang.html
XiaobingZhou.html
http___dx.doi.org_10.1016_j.jhydrol.2008.01.023 http://dx.doi.org/10.1016/j.jhydrol.2008.01.023
http___www.sciencedirect.com_science_article_B6V6C-4RRFNK3-2_2_26f7ea5d045a8c5457038f4c4d0b73e5 http://www.sciencedirect.com/science/article/B6V6C-4RRFNK3-2/2/26f7ea5d045a8c5457038f4c4d0b73e5
Makkeasorn20091069 Seasonal change detection of riparian zones with remote sensing images and genetic programming in a semi-arid watershed
AmmarinMakkeasorn.html
Ni-BinChang.html
JiahongLi.html
http___dx.doi.org_10.1016_j.jenvman.2008.04.004 http://dx.doi.org/10.1016/j.jenvman.2008.04.004
http___www.sciencedirect.com_science_article_B6WJ7-4SNGRR7-1_2_952c6978ecce3d3e3e5a40f16f9ad11b http://www.sciencedirect.com/science/article/B6WJ7-4SNGRR7-1/2/952c6978ecce3d3e3e5a40f16f9ad11b
Malan2013148 A survey of techniques for characterising fitness landscapes and some possible ways forward
KatherineMMalan.html
AndriesPEngelbrecht.html
http___www.sciencedirect.com_science_article_pii_S0020025513003125 http://www.sciencedirect.com/science/article/pii/S0020025513003125
http___dx.doi.org_10.1016_j.ins.2013.04.015 http://dx.doi.org/10.1016/j.ins.2013.04.015
Malan:2021:Algorithms A Survey of Advances in Landscape Analysis for Optimisation
KatherineMMalan.html
http___dx.doi.org_10.3390_a14020040 http://dx.doi.org/10.3390/a14020040
Malhotra:2011:GECCOcomp HIER-HEIR: an evolutionary system with hierarchical representation \&\#38; contextual operators applied to fashion design
AbhinavMalhotra.html
VarunAggarwal.html
http___dx.doi.org_10.1145_2001858.2001980 http://dx.doi.org/10.1145/2001858.2001980
Malhotra:2016:ICICM Cartesian genetic programming approach for embryonic fabric architecture
GayatriMalhotra.html
http___dx.doi.org_10.1109_INFOCOMAN.2016.7784259 http://dx.doi.org/10.1109/INFOCOMAN.2016.7784259
malhotra:2019:IBCA Implementation of Threshold Comparator Using Cartesian Genetic Programming on Embryonic Fabric
GayatriMalhotra.html
VLekshmi.html
SSudhakar.html
SUdupa.html
http___link.springer.com_chapter_10.1007_978-3-030-16681-6_10 http://link.springer.com/chapter/10.1007/978-3-030-16681-6_10
http___dx.doi.org_10.1007_978-3-030-16681-6_10 http://dx.doi.org/10.1007/978-3-030-16681-6_10
Malhotra:2021:CONECCT Evolving Embryonic Cell for Combinational Circuits using Cartesian Genetic Programming
GayatriMalhotra.html
PunithavathiDuraiswamy.html
JKKishore.html
http___dx.doi.org_10.1109_CONECCT52877.2021.9622686 http://dx.doi.org/10.1109/CONECCT52877.2021.9622686
conf/icse/MalhotraK14 A new metric for predicting software change using gene expression programming
RuchikaMalhotra.html
MeghaUmmat.html
http___dl.acm.org_citation.cfm_id_2593868 http://dl.acm.org/citation.cfm?id=2593868
http___dx.doi.org_10.1145_2593868.2593870 http://dx.doi.org/10.1145/2593868.2593870
Malhotra:2020:IETsoftware Threats to validity in search-based predictive modelling for software engineering
RuchikaMalhotra.html
MeghaUmmat.html
http___dx.doi.org_10.1049_iet-sen.2018.5143 http://dx.doi.org/10.1049/iet-sen.2018.5143
Malhotra:2017:cloud Genetic programming and K-nearest neighbour classifier based intrusion detection model
ShwetaMalhotra.html
VikramBali.html
KKPaliwal.html
http___dx.doi.org_10.1109_CONFLUENCE.2017.7943121 http://dx.doi.org/10.1109/CONFLUENCE.2017.7943121
Malik:2020:EACFM Modeling monthly pan evaporation process over the Indian central Himalayas: application of multiple learning artificial intelligence model
AnuragMalik.html
AnilKumar.html
SungwonKim.html
MahsaHasanpourKashani.html
VahidKarimi.html
AhmadSharafati.html
MohammadAliGhorbani.html
NadhirAl-Ansari.html
SinanQSalih.html
ZaherMundherYaseen.html
Kwok-WingChau.html
http___urn.kb.se_resolve_urn_urn_nbn_se_ltu_diva-77534 http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-77534
http___dx.doi.org_10.1080_19942060.2020.1715845 http://dx.doi.org/10.1080/19942060.2020.1715845
journals/ijcat/MalikK08 Verifying experiment for automated design of mechatronic systems using Bond-Graph modelling and simulation and genetic programming
MuhammadAfzaalMalik.html
SaheebAhmedKayani.html
http___dx.doi.org_10.1504_IJCAT.2008.020952 http://dx.doi.org/10.1504/IJCAT.2008.020952
malinchik:2004:ieda Interactive Exploratory Data Analysis
SergeyMalinchik.html
BelindaOrme.html
JosephARothermich.html
EricBonabeau.html
http___dx.doi.org_10.1109_CEC.2004.1330984 http://dx.doi.org/10.1109/CEC.2004.1330984
Malini:2017:AEEICB Analysis on credit card fraud identification techniques based on KNN and outlier detection
NMalini.html
MPushpa.html
http___dx.doi.org_10.1109_AEEICB.2017.7972424 http://dx.doi.org/10.1109/AEEICB.2017.7972424
Mallick:2008:ICSSSM An empirical study of Genetic Programming generated trading rules in computerized stock trading service system
DevayanMallick.html
VincentCheng-SiongLee.html
Yew-SoonOng.html
http___dx.doi.org_10.1109_ICSSSM.2008.4598507 http://dx.doi.org/10.1109/ICSSSM.2008.4598507
MallBent99 Evolving Fuzzy Rules for Pattern Classification
HughMallinson.html
PeterJBentley.html
http___www.cs.ucl.ac.uk_staff_P.Bentley_MABEC1.pdf http://www.cs.ucl.ac.uk/staff/P.Bentley/MABEC1.pdf
http___iospress.nl.master.com_texis_master_redir__u_http_3A__www.iospress.nl_html_9789051994742.php http://iospress.nl.master.com/texis/master/redir/?u=http%3A//www.iospress.nl/html/9789051994742.php
DBLP:journals/soco/MallipeddiGSAJ21 Robust controller design for systems with probabilistic uncertain parameters using multi-objective genetic programming
RammohanMallipeddi.html
ImanGholaminezhad.html
MohammadSSaeedi.html
HiradAssimi.html
AliJamali.html
https___doi.org_10.1007_s00500-020-05133-x https://doi.org/10.1007/s00500-020-05133-x
http___dx.doi.org_10.1007_s00500-020-05133-x http://dx.doi.org/10.1007/s00500-020-05133-x
https___dblp.org_rec_journals_soco_MallipeddiGSAJ21.bib https://dblp.org/rec/journals/soco/MallipeddiGSAJ21.bib
DBLP:journals/corr/abs-1012-0841 Automated Query Learning with Wikipedia and Genetic Programming
PekkaMalo.html
Pyry-AnttiSiitari.html
AnkurSinha.html
http___arxiv.org_abs_1012.0841 http://arxiv.org/abs/1012.0841
Malo:2013:AI Automated query learning with Wikipedia and genetic programming
PekkaMalo.html
Pyry-AnttiSiitari.html
AnkurSinha.html
http___www.sciencedirect.com_science_article_pii_S0004370212000768 http://www.sciencedirect.com/science/article/pii/S0004370212000768
http___dx.doi.org_10.1016_j.artint.2012.06.006 http://dx.doi.org/10.1016/j.artint.2012.06.006
malolepszy:2000:MIE Application of genetic programming for the differential diagnosis of acid-base and anion gap disorders
AndrzejMalolepszy.html
EdwardKacki.html
TDogdanik.html
http___books.google.co.uk_books_about_Medical_Infobahn_for_Europe.html_id_MwrHQ1-Qg1IC_redir_esc_y http://books.google.co.uk/books/about/Medical_Infobahn_for_Europe.html?id=MwrHQ1-Qg1IC&redir_esc=y
http___www.amazon.co.uk_Medical-Infobahn-Studies-Technology-Informatics_dp_1586030639_ref_sr_1_1 http://www.amazon.co.uk/Medical-Infobahn-Studies-Technology-Informatics/dp/1586030639/ref=sr_1_1
Mambrini:2013:foga Runtime Analysis of Mutation-Based Geometric Semantic Genetic Programming on Boolean Functions
AlbertoMoraglio.html
AndreaMambrini.html
LucaManzoni.html
http___www.cs.bham.ac.uk__axm322_pdf_gsgp_foga13.pdf http://www.cs.bham.ac.uk/~axm322/pdf/gsgp_foga13.pdf
http___doi.acm.org_10.1145_2460239.2460251 http://doi.acm.org/10.1145/2460239.2460251
http___dx.doi.org_10.1145_2460239.2460251 http://dx.doi.org/10.1145/2460239.2460251
Mambrini:2013:CEC Theory-Laden Design of Mutation-Based Geometric Semantic Genetic Programming for Learning Classification Trees
AndreaMambrini.html
LucaManzoni.html
AlbertoMoraglio.html
http___dx.doi.org_10.1109_CEC.2013.6557599 http://dx.doi.org/10.1109/CEC.2013.6557599
Mambrini:2014:GECCOcomp A comparison between geometric semantic GP and cartesian GP for boolean functions learning
AndreaMambrini.html
LucaManzoni.html
http___doi.acm.org_10.1145_2598394.2598475 http://doi.acm.org/10.1145/2598394.2598475
http___dx.doi.org_10.1145_2598394.2598475 http://dx.doi.org/10.1145/2598394.2598475
Mambrini:2014:SMGP A framework for measuring the generalization ability of Geometric Semantic Genetic Programming (GSGP) for Black-Box Boolean Functions Learning
AndreaMambrini.html
YangYu2.html
XinYao.html
http___www.cs.put.poznan.pl_kkrawiec_smgp2014_uploads_Site_Mambrini.pdf http://www.cs.put.poznan.pl/kkrawiec/smgp2014/uploads/Site/Mambrini.pdf
Mambrini15PhD Theory grounded design of genetic programming and parallel evolutionary algorithms
AndreaMambrini.html
http___etheses.bham.ac.uk_5928_ http://etheses.bham.ac.uk/5928/
http___etheses.bham.ac.uk_5928_1_Mambrini15PhD.pdf http://etheses.bham.ac.uk/5928/1/Mambrini15PhD.pdf
Mambrini:2016:EuroGP On the Analysis of Simple Genetic Programming for Evolving Boolean Functions
AndreaMambrini.html
PietroSOliveto.html
http___dx.doi.org_10.1007_978-3-319-30668-1_7 http://dx.doi.org/10.1007/978-3-319-30668-1_7
mamontov:2022:SaC Self-Configuring Genetic Programming Feature Generation in Affect Recognition Tasks
DanilaMamontov.html
WolfgangMinker.html
AlexeyKarpov.html
http___link.springer.com_chapter_10.1007_978-3-031-20980-2_40 http://link.springer.com/chapter/10.1007/978-3-031-20980-2_40
http___dx.doi.org_10.1007_978-3-031-20980-2_40 http://dx.doi.org/10.1007/978-3-031-20980-2_40
Manahov:2013:PASMA Herd behaviour experimental testing in laboratory artificial stock market settings. Behavioural foundations of stylised facts of financial returns
ViktorManahov.html
RobertHudson.html
http___dx.doi.org_10.1016_j.physa.2013.05.029 http://dx.doi.org/10.1016/j.physa.2013.05.029
http___www.sciencedirect.com_science_article_pii_S0378437113004524 http://www.sciencedirect.com/science/article/pii/S0378437113004524
Manahov:2014:JIFMIM Does high frequency trading affect technical analysis and market efficiency? And if so, how?
ViktorManahov.html
RobertHudson.html
BartoszGebka.html
http___dx.doi.org_10.1016_j.intfin.2013.11.002 http://dx.doi.org/10.1016/j.intfin.2013.11.002
http___www.sciencedirect.com_science_article_pii_S1042443113000954 http://www.sciencedirect.com/science/article/pii/S1042443113000954
Manahov:2014:ESA A note on the relationship between market efficiency and adaptability - New evidence from artificial stock markets
ViktorManahov.html
RobertHudson.html
http___dx.doi.org_10.1016_j.eswa.2014.06.004 http://dx.doi.org/10.1016/j.eswa.2014.06.004
http___www.sciencedirect.com_science_article_pii_S0957417414003406 http://www.sciencedirect.com/science/article/pii/S0957417414003406
Manahov:2014:JIFMIM2 New evidence about the profitability of small and large stocks and the role of volume obtained using Strongly Typed Genetic Programming
ViktorManahov.html
RobertHudson.html
PhilipLinsley.html
http___dx.doi.org_10.1016_j.intfin.2014.08.007 http://dx.doi.org/10.1016/j.intfin.2014.08.007
http___www.sciencedirect.com_science_article_pii_S1042443114001115 http://www.sciencedirect.com/science/article/pii/S1042443114001115
Manahov:2015:JIFMIM Return predictability and the `wisdom of crowds': Genetic Programming trading algorithms, the Marginal Trader Hypothesis and the Hayek Hypothesis
ViktorManahov.html
RobertHudson.html
HafizHoque.html
http___dx.doi.org_10.1016_j.intfin.2015.02.009 http://dx.doi.org/10.1016/j.intfin.2015.02.009
http___www.sciencedirect.com_science_article_pii_S1042443115000268 http://www.sciencedirect.com/science/article/pii/S1042443115000268
Manahov:2016:IRFA A note on the relationship between high-frequency trading and latency arbitrage
ViktorManahov.html
http___dx.doi.org_10.1016_j.irfa.2016.06.014 http://dx.doi.org/10.1016/j.irfa.2016.06.014
http___www.sciencedirect.com_science_article_pii_S1057521916301090 http://www.sciencedirect.com/science/article/pii/S1057521916301090
journals/anor/Manahov18 The rise of the machines in commodities markets: new evidence obtained using Strongly Typed Genetic Programming
ViktorManahov.html
http___dx.doi.org_10.1007_s10479-016-2286-1 http://dx.doi.org/10.1007/s10479-016-2286-1
Manahov:2019:ijec Forecasting Financial Markets Using High-Frequency Trading Data: Examination with Strongly Typed Genetic Programming
ViktorManahov.html
HanxiongZhang.html
http___eprints.lincoln.ac.uk_32097_ http://eprints.lincoln.ac.uk/32097/
http___eprints.lincoln.ac.uk_32097_1_Forecasting_20Financial_20Markets_20Using_20HighFrequency_20Trading_20Data_20Examination_20with_20Strongly_20Typed_20Genetic_20Programming.docx http://eprints.lincoln.ac.uk/32097/1/Forecasting%20Financial%20Markets%20Using%20HighFrequency%20Trading%20Data%20Examination%20with%20Strongly%20Typed%20Genetic%20Programming.docx
http___dx.doi.org_10.1080_10864415.2018.1512271 http://dx.doi.org/10.1080/10864415.2018.1512271
Manahov:2019:IJFE High-frequency trading from an evolutionary perspective: financial markets as adaptive systems
ViktorManahov.html
RobertHudson.html
AndrewUrquhart.html
https___onlinelibrary.wiley.com_doi_epdf_10.1002_ijfe.1700 https://onlinelibrary.wiley.com/doi/epdf/10.1002/ijfe.1700
https___eprints.soton.ac.uk_426151_ https://eprints.soton.ac.uk/426151/
http___dx.doi.org_10.1002_ijfe.1700 http://dx.doi.org/10.1002/ijfe.1700
MANAHOV:2021:IRFA The efficiency of Bitcoin: A strongly typed genetic programming approach to smart electronic Bitcoin markets
ViktorManahov.html
AndrewUrquhart.html
http___dx.doi.org_10.1016_j.irfa.2020.101629 http://dx.doi.org/10.1016/j.irfa.2020.101629
https___www.sciencedirect.com_science_article_pii_S1057521920302726 https://www.sciencedirect.com/science/article/pii/S1057521920302726
Manazir:2019:ACMcsurveys Recent Developments in Cartesian Genetic Programming and Its Variants
AbdulManazir.html
KhalidRaza.html
http___doi.acm.org_10.1145_3275518 http://doi.acm.org/10.1145/3275518
http___dx.doi.org_10.1145_3275518 http://dx.doi.org/10.1145/3275518
Manazir:2022:ICECET pCGP: A Parallel Implementation of Cartesian Genetic Program-ming for Combinatorial Circuit Design and Time-Series Prediction
AbdulManazir.html
KhalidRaza.html
http___dx.doi.org_10.1109_ICECET55527.2022.9872630 http://dx.doi.org/10.1109/ICECET55527.2022.9872630
manazir:2022:ISDA Comparative Evaluation of Genetic Operators in Cartesian Genetic Programming
AbdulManazir.html
KhalidRaza.html
http___link.springer.com_chapter_10.1007_978-3-030-96308-8_71 http://link.springer.com/chapter/10.1007/978-3-030-96308-8_71
http___dx.doi.org_10.1007_978-3-030-96308-8_71 http://dx.doi.org/10.1007/978-3-030-96308-8_71
mandal:2015:EP Modeling of Arsenic (III) Removal by Evolutionary Genetic Programming and Least Square Support Vector Machine Models
SandipMandal.html
SibaSankarMahapatra.html
SangeetaAdhikari.html
RajKishorePatel.html
http___link.springer.com_article_10.1007_s40710-014-0050-6 http://link.springer.com/article/10.1007/s40710-014-0050-6
http___dx.doi.org_10.1007_s40710-014-0050-6 http://dx.doi.org/10.1007/s40710-014-0050-6
Mandli:thesis An Application Of Cybernetic Principles To The Modeling And Optimization Of Bioreactors
AravindaReddyMandli.html
https___etd.iisc.ac.in_handle_2005_2640 https://etd.iisc.ac.in/handle/2005/2640
http___etd.ncsi.iisc.ernet.in_abstracts_3444_G26691-Abs.pdf http://etd.ncsi.iisc.ernet.in/abstracts/3444/G26691-Abs.pdf
DBLP:journals/bmcbi/ManduchiFRRM20 Embedding covariate adjustments in tree-based automated machine learning for biomedical big data analyses
ElisabettaManduchi.html
WeixuanFu.html
JosephDRomano.html
StefanoRuberto.html
JasonHMoore.html
https___doi.org_10.1101_2020.08.24.265116 https://doi.org/10.1101/2020.08.24.265116
http___dx.doi.org_10.1186_s12859-020-03755-4 http://dx.doi.org/10.1186/s12859-020-03755-4
manduchi:2021:tcbb Genetic analysis of coronary artery disease using tree-based automated machine learning informed by biology-based feature selection
ElisabettaManduchi.html
TrangTLe.html
WeixuanFu.html
JasonHMoore.html
http___dx.doi.org_10.1109_TCBB.2021.3099068 http://dx.doi.org/10.1109/TCBB.2021.3099068
Mane:2020:CINTI A Pragmatic Optimal Approach for Detection of Cyber Attacks using Genetic Programming
NikhilMane.html
AnjaliVerma.html
ArtiArya.html
http___dx.doi.org_10.1109_CINTI51262.2020.9305844 http://dx.doi.org/10.1109/CINTI51262.2020.9305844
Manfrini:2014:CEC Optimization of Combinational Logic Circuits Through Decomposition of Truth Table and Evolution of Sub-Circuits
FranciscoAugustoLimaManfrini.html
HelioJCBarbosa.html
HederSoaresBernardino.html
http___dx.doi.org_10.1109_CEC.2014.6900565 http://dx.doi.org/10.1109/CEC.2014.6900565
Manfrini:2016:GECCOcomp On Heuristics for Seeding the Initial Population of Cartesian Genetic Programming Applied to Combinational Logic Circuits
FranciscoAugustoLimaManfrini.html
HederSoaresBernardino.html
HelioJCBarbosa.html
http___dx.doi.org_10.1145_2908961.2909031 http://dx.doi.org/10.1145/2908961.2909031
Manfrini:2016:PPSN A Novel Efficient Mutation for Evolutionary Design of Combinational Logic Circuits
FranciscoAugustoLimaManfrini.html
HederSoaresBernardino.html
HelioJCBarbosa.html
http___dx.doi.org_10.1007_978-3-319-45823-6_62 http://dx.doi.org/10.1007/978-3-319-45823-6_62
Manh:2016:ICWITS Hybrid genetic programming with modified conjugate direction search for 3D metamaterial design
LinhHoManh.html
JenniferTaylorRayno.html
MagdyFIskander.html
MarceloHKobayashi.html
http___dx.doi.org_10.1109_ROPACES.2016.7465382 http://dx.doi.org/10.1109/ROPACES.2016.7465382
manning:2013:evobio Improving the Performance of CGPANN for Breast Cancer Diagnosis using Crossover and Radial Basis Functions
TimmyManning.html
PaulJWalsh.html
http___dx.doi.org_10.1007_978-3-642-37189-9_15 http://dx.doi.org/10.1007/978-3-642-37189-9_15
Manognya:2009:ICICS Gene expression programming for induction of finite transducer
JandhyalaSeethaManognya.html
A_PLipoWang.html
http___dx.doi.org_10.1109_ICICS.2009.5397573 http://dx.doi.org/10.1109/ICICS.2009.5397573
Manos:2008:ECP Evolving Microstructured Optical Fibres
StevenManos.html
PeterJBentley.html
http___dx.doi.org_10.1007_978-3-540-75771-9_5 http://dx.doi.org/10.1007/978-3-540-75771-9_5
conf/iwinac/ManriqueMRR05 Grammar Based Crossover Operator in Genetic Programming
DanielManriqueGamo.html
FernandoMarquez.html
JuanRiosCarrion.html
AlfonsoRodriguez-PatonAradas.html
http___dx.doi.org_10.1007_11499305_26 http://dx.doi.org/10.1007/11499305_26
reference/ai/ManriqueRR09 Grammar-Guided Genetic Programming
DanielManriqueGamo.html
JuanRiosCarrion.html
AlfonsoRodriguez-PatonAradas.html
http___dx.doi.org_10.4018_978-1-59904-849-9.ch114 http://dx.doi.org/10.4018/978-1-59904-849-9.ch114
http___dx.doi.org_10.4018_978-1-59904-849-9 http://dx.doi.org/10.4018/978-1-59904-849-9
http___www.igi-global.com_bookstore_titledetails.aspx_TitleId_343 http://www.igi-global.com/bookstore/titledetails.aspx?TitleId=343
Mansilla:2009:ICCAS-SICE Adaptive Controller for Double-Deck Elevator System using Genetic Network Programming
JohannaMansilla.html
ShingoMabu.html
LuYu.html
KotaroHirasawa.html
http___ieeexplore.ieee.org_search_srchabstract.jsp_tp__arnumber_5332931 http://ieeexplore.ieee.org/search/srchabstract.jsp?tp=&arnumber=5332931
Manson:thesis Integrated assessment and projection of land-use and land-cover change in the southern Yucatan peninsular region of Mexico
StevenMManson.html
http___search.proquest.com_docview_252123649 http://search.proquest.com/docview/252123649
Manson:2005:AEE Agent-based modeling and genetic programming for modeling land change in the Southern Yucatan Peninsular Region of Mexico
StevenMManson.html
http___dx.doi.org_10.1016_j.agee.2005.04.024 http://dx.doi.org/10.1016/j.agee.2005.04.024
Manson:2006:CEUS Land use in the southern Yucatan peninsular region of Mexico: Scenarios of population and institutional change
StevenMManson.html
http___dx.doi.org_10.1016_j.compenvurbsys.2005.01.009 http://dx.doi.org/10.1016/j.compenvurbsys.2005.01.009
Manson:2006:IJGIS Bounded rationality in agent-based models: experiments with evolutionary programs
StevenMManson.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.465.8323 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.465.8323
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http___dx.doi.org_10.1080_13658810600830566 http://dx.doi.org/10.1080/13658810600830566
http___dx.doi.org_10.1080_13658810600830566 http://dx.doi.org/10.1080/13658810600830566
Mansoor:2017:SQJ Multi-objective code-smells detection using good and bad design examples
UsmanMansoor.html
MarouaneKessentini.html
BruceRMaxim.html
KalyanmoyDeb.html
http___dx.doi.org_10.1007_s11219-016-9309-7 http://dx.doi.org/10.1007/s11219-016-9309-7
Mansoor:thesis Handling High-Level Model Changes Using Search Based Software Engineering
UsmanMansoor.html
https___hdl.handle.net_2027.42_136077 https://hdl.handle.net/2027.42/136077
https___deepblue.lib.umich.edu_handle_2027.42_136077 https://deepblue.lib.umich.edu/handle/2027.42/136077
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Mansourvar:2015:plosone An Automated System for Skeletal Maturity Assessment by Extreme Learning Machines
MarjanMansourvar.html
ShahaboddinShamshirband.html
RamGopalRaj.html
RoshanGunalan.html
ImanMazinani.html
http___www.ncbi.nlm.nih.gov_pmc_articles_PMC4581666_ http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4581666/
http___www.ncbi.nlm.nih.gov_pubmed_26402795 http://www.ncbi.nlm.nih.gov/pubmed/26402795
http___dx.doi.org_10.1371_journal.pone.0138493 http://dx.doi.org/10.1371/journal.pone.0138493
http___dx.doi.org_10.1371_journal.pone.0138493 http://dx.doi.org/10.1371/journal.pone.0138493
Mansuri:2012:WOCN Multiclass classifier designing by Modified Crossover and Point Mutation technique using genetic programming
AnwarMohdMansuri.html
DeepaliKelkar.html
RoopeshKumar.html
PrithvirajSinghRathore.html
AmitJain.html
http___dx.doi.org_10.1109_WOCN.2012.6335563 http://dx.doi.org/10.1109/WOCN.2012.6335563
Mansuri:2013:ijarcs Generate classifier for Genetic Programming of Multicategory Pattern Classification Using Multiclass Microarray Datasets
AnwarMohdMansuri.html
DeepaliKelkar.html
http___www.ijarcs.info_Mansuri_2013_ijarcs.pdf http://www.ijarcs.info/Mansuri:2013:ijarcs.pdf
conf/cosecivi/ManteconCGLRS17 A Pac-Man bot based on grammatical evolution
HectorLariaMantecon.html
JorgeSanchezCremades.html
JoseMiguelTajueloGarrigos.html
JorgeVieiraLuna.html
CarlosCervigonRuckauer.html
AntonioASanchezRuiz-Granados.html
http___ceur-ws.org_Vol-1957 http://ceur-ws.org/Vol-1957
http___nbn-resolving.de_urn_nbn_de_0074-1957-8 http://nbn-resolving.de/urn:nbn:de:0074-1957-8
http___ceur-ws.org_Vol-1957_CoSeCiVi17_paper_12.pdf http://ceur-ws.org/Vol-1957/CoSeCiVi17_paper_12.pdf
Manukyan:thesis Analysis and Modeling of Quality Improvement on Clinical Fitness Landscapes
NarineManukyan.html
https___scholarworks.uvm.edu_graddis_253 https://scholarworks.uvm.edu/graddis/253
Manzi:2020:CEC Discovering Unmodeled Components in Astrodynamics with Symbolic Regression
MatteoManzi.html
MassimilianoVasile.html
https___pureportal.strath.ac.uk_en_publications_discovering-unmodeled-components-in-astrodynamics-with-symbolic-r https://pureportal.strath.ac.uk/en/publications/discovering-unmodeled-components-in-astrodynamics-with-symbolic-r
https___pure.strath.ac.uk_ws_portalfiles_portal_103166942_Manzi_Vasile_IEEE_WCCI_2020_Discovering_unmodeled_components_in_astrodynamics.pdf https://pure.strath.ac.uk/ws/portalfiles/portal/103166942/Manzi_Vasile_IEEE_WCCI_2020_Discovering_unmodeled_components_in_astrodynamics.pdf
http___dx.doi.org_10.1109_CEC48606.2020.9185534 http://dx.doi.org/10.1109/CEC48606.2020.9185534
Manzoni:2013:GPEM A new genetic programming framework based on reaction systems
LucaManzoni.html
MauroCastelli.html
LeonardoVanneschi.html
http___dx.doi.org_10.1007_s10710-013-9184-y http://dx.doi.org/10.1007/s10710-013-9184-y
Manzoni:2020:GECCO Towards an Evolutionary-Based Approach for Natural Language Processing
LucaManzoni.html
DomagojJakobovic.html
LucaMariot.html
StjepanPicek.html
MauroCastelli.html
https___doi.org_10.1145_3377930.3390248 https://doi.org/10.1145/3377930.3390248
http___dx.doi.org_10.1145_3377930.3390248 http://dx.doi.org/10.1145/3377930.3390248
Manzoni:2020:ieeeTEC Specializing Context-Free Grammars With a (1 + 1)-EA
LucaManzoni.html
AlbertoBartoli.html
MauroCastelli.html
IvoGoncalves.html
EricMedvet.html
http___dx.doi.org_10.1109_TEVC.2020.2983664 http://dx.doi.org/10.1109/TEVC.2020.2983664
Marandi:2012:IJGS Prediction of Concrete Faced Rock Fill Dams Settlements Using Genetic Programming Algorithm
SeyedMortezaMarandi.html
SeyedMahmoodVaeziNejad.html
ElyasKhavari.html
http___www.scirp.org_journal_PaperDownload.aspx_DOI_10.4236_ijg.2012.33060 http://www.scirp.org/journal/PaperDownload.aspx?DOI=10.4236/ijg.2012.33060
http___dx.doi.org_10.4236_ijg.2012.33060 http://dx.doi.org/10.4236/ijg.2012.33060
marchesi:1997:deeGP Detection of Epileptic Events using Genetic Programming
BrunoMarchesi.html
AlvaroLuizStelle.html
HeitorSilverioLopes.html
http___dx.doi.org_10.1109_IEMBS.1997.756577 http://dx.doi.org/10.1109/IEMBS.1997.756577
Marchetti:2020:IJCNN Towards Intelligent Control via Genetic Programming
FrancescoMarchetti.html
EdmondoMinisci.html
AnnalisaRiccardi.html
http___dx.doi.org_10.1109_IJCNN48605.2020.9207694 http://dx.doi.org/10.1109/IJCNN48605.2020.9207694
Marchetti:2020:BIOMA A Hybrid Neural Network-Genetic Programming Intelligent Control Approach
FrancescoMarchetti.html
EdmondoMinisci.html
https___strathprints.strath.ac.uk_74956_ https://strathprints.strath.ac.uk/74956/
http___dx.doi.org_10.1007_978-3-030-63710-1_19 http://dx.doi.org/10.1007/978-3-030-63710-1_19
Marchetti:2021:EuroGP Inclusive Genetic Programming
FrancescoMarchetti.html
EdmondoMinisci.html
http___dx.doi.org_10.1007_978-3-030-72812-0_4 http://dx.doi.org/10.1007/978-3-030-72812-0_4
Marchetti:2021:math Genetic Programming Guidance Control System for a Reentry Vehicle under Uncertainties
FrancescoMarchetti.html
EdmondoMinisci.html
https___www.mdpi.com_2227-7390_9_16_1868 https://www.mdpi.com/2227-7390/9/16/1868
http___dx.doi.org_10.3390_math9161868 http://dx.doi.org/10.3390/math9161868
Marco:2012:GECCO Evolving Bio-PEPA process algebra models using genetic programming
DavidMarco.html
CarronShankland.html
DavidCairns.html
http___dx.doi.org_10.1145_2330163.2330189 http://dx.doi.org/10.1145/2330163.2330189
marconi:1998:hpGAfckg A Hard Problem for Genetic Algorithms: Finding Cliques in Keller Graphs
JamieMarconi.html
JamesAFoster.html
http___dx.doi.org_10.1109_ICEC.1998.700116 http://dx.doi.org/10.1109/ICEC.1998.700116
maree:2018:AISC Deriving Functions for Pareto Optimal Fronts Using Genetic Programming
ArmandMaree.html
MariusRiekert.html
MardeHelbig.html
http___link.springer.com_chapter_10.1007_978-3-319-91253-0_43 http://link.springer.com/chapter/10.1007/978-3-319-91253-0_43
http___dx.doi.org_10.1007_978-3-319-91253-0_43 http://dx.doi.org/10.1007/978-3-319-91253-0_43
marek:2002:gecco:lbp Learning Visual Feature Detectors for Obstacle Avoidance Using Genetic Programming
AndrewJMarek.html
WilliamDSmart.html
MartinCMartin.html
http___www.martincmartin.com_papers_LearingVisualFeatureDetectorsForObstAvoidGP_GECCO2002Marek.pdf http://www.martincmartin.com/papers/LearingVisualFeatureDetectorsForObstAvoidGP_GECCO2002Marek.pdf
http___citeseer.ist.psu.edu_563994.html http://citeseer.ist.psu.edu/563994.html
Marek:mastersthesis Learning Feature Detectors Using Genetic Programming With Multiple Sensors
AndrewJMarek.html
http___cse.wustl.edu_Research_Pages_search-technical-reports.aspx http://cse.wustl.edu/Research/Pages/search-technical-reports.aspx
http___cse.wustl.edu_Research_Lists_Technical_20Reports_Attachments_594_345_thesis-main.pdf http://cse.wustl.edu/Research/Lists/Technical%20Reports/Attachments/594/345_thesis-main.pdf
marenbach:1995:at Selbstorganisierende Generierung strukturierter Prozemodelle
PeterMarenbach.html
KurtDirkBettenhausen.html
BerndCuno.html
marenbach:1995:tr01 Status und Perspektiven der strukturierten Modellbildung mit Hilfe Genetischer Algorithmen
PeterMarenbach.html
marenbach:1996:spdpm Signal Path Oriented Approach for Generation of Dynamic Process Models
PeterMarenbach.html
KurtDirkBettenhausen.html
StephanFreyer.html
http___www.rtr.tu-darmstadt.de_fileadmin_literature_rst_96_11.ps.gz http://www.rtr.tu-darmstadt.de/fileadmin/literature/rst_96_11.ps.gz
http___cognet.mit.edu_sites_default_files_books_9780262315876_pdfs_9780262315876_chap43.pdf http://cognet.mit.edu/sites/default/files/books/9780262315876/pdfs/9780262315876_chap43.pdf
http___cognet.mit.edu_library_books_view_isbn_0262611279 http://cognet.mit.edu/library/books/view?isbn=0262611279
marenbach:1997:Evicnf Evolutionary versus inductive construction of neurofuzzy systems for bioprocess modelling
PeterMarenbach.html
MBrown.html
http___www.rtr.tu-darmstadt.de_fileadmin_literature_rst_97_11.pdf http://www.rtr.tu-darmstadt.de/fileadmin/literature/rst_97_11.pdf
http___ieeexplore.ieee.org_xpl_freeabs_all.jsp_tp__arnumber_681045 http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?tp=&arnumber=681045
http___dx.doi.org_10.1049_cp_19971200 http://dx.doi.org/10.1049/cp:19971200
Marenbach1998 Using Prior Knowledge and Obtaining Process Insight in Data Based Modelling of Bioprocesses
PeterMarenbach.html
https___www.sciencebase.gov_catalog_item_50536091e4b097cd4fcd67f7 https://www.sciencebase.gov/catalog/item/50536091e4b097cd4fcd67f7
http___dl.acm.org_citation.cfm_id_289662_CFID_140128841_CFTOKEN_57960727 http://dl.acm.org/citation.cfm?id=289662&CFID=140128841&CFTOKEN=57960727
Marenbachetal1997 Data-driven Structured Modelling of a Biotechnological Fed-batch Fermentation by Means of Genetic Programming
PeterMarenbach.html
KurtDirkBettenhausen.html
StephanFreyer.html
UlrichNieken.html
HansRettenmaier.html
http___www.rt.e-technik.tu-darmstadt.de__mali_GP_publications.html http://www.rt.e-technik.tu-darmstadt.de/~mali/GP/publications.html
http___pii.sagepub.com_content_211_5_325.abstract http://pii.sagepub.com/content/211/5/325.abstract
http___dx.doi.org_10.1243_0959651971539858 http://dx.doi.org/10.1243/0959651971539858
MarenbachFreyerRST09/98 Generierung von Modellen biotechnologischer Prozesse
PeterMarenbach.html
StephanFreyer.html
Marenbach:thesis Rechnergest\"utzte Methoden zur interaktiven Modellierung biotechnologischer Prozesse
PeterMarenbach.html
http___www.shaker.de_de_content_catalogue_index.asp_ISBN_978-3-8265-6574-8 http://www.shaker.de/de/content/catalogue/index.asp?ISBN=978-3-8265-6574-8
http___tubiblio.ulb.tu-darmstadt.de_1611_ http://tubiblio.ulb.tu-darmstadt.de/1611/
margetts:2001:EuroGP An Adaptive Mapping for Developmental Genetic Programming
SteveMargetts.html
AntoniaJJones.html
http___dx.doi.org_10.1007_3-540-45355-5_9 http://dx.doi.org/10.1007/3-540-45355-5_9
margetts:thesis Adaptive Genotype to Phenotype Mappings for Evolutionary Algorithms
SteveMargetts.html
http___www.cs.cf.ac.uk_user_Antonia.J.Jones_Theses_SMargettsThesis.pdf http://www.cs.cf.ac.uk/user/Antonia.J.Jones/Theses/SMargettsThesis.pdf
P1120535113 Extracting Logical Classification Rules With Gene Expression Programming: Microarray Case Study
MarghnyHassanMohamed.html
IbrahimEEl-Semman.html
https___www.researchgate.net_publication_246155015_Extracting_Logical_Classification_Rules_With_Gene_Expression_Programming_Microarray_Case_Study https://www.researchgate.net/publication/246155015_Extracting_Logical_Classification_Rules_With_Gene_Expression_Programming_Microarray_Case_Study
http___www.icgst.com_paper.aspx_pid_P1120535113 http://www.icgst.com/paper.aspx?pid=P1120535113
http___www.icgst.com_AIML05_papers_P1120535113.pdf http://www.icgst.com/AIML05/papers/P1120535113.pdf
P1120535114 Extracting fuzzy classification rules with gene expression programming
MarghnyHassanMohamed.html
IbrahimEEl-Semman.html
http___www.icgst.com_paper.aspx_pid_P1120535114 http://www.icgst.com/paper.aspx?pid=P1120535114
http___www.icgst.com_AIML05_papers_P1120535114.pdf http://www.icgst.com/AIML05/papers/P1120535114.pdf
Marginean:2015:SSBSE Automated Transplantation of Call Graph and Layout Features into Kate
AlexandruMarginean.html
EarlBarr.html
MarkHarman.html
YueJia.html
http___crest.cs.ucl.ac.uk_autotransplantation_ http://crest.cs.ucl.ac.uk/autotransplantation/
http___ssbse.org_2015_wp-content_uploads_Slides_Automated_Transplantation_of_Call_Graph_and_Layout_Features_into_Kate.pdf http://ssbse.org/2015/wp-content/uploads/Slides_Automated_Transplantation_of_Call_Graph_and_Layout_Features_into_Kate.pdf
http___alexandrumarginean.com_autotransplantation-ssbse.pdf http://alexandrumarginean.com/autotransplantation-ssbse.pdf
http___dx.doi.org_10.1007_978-3-319-22183-0_21 http://dx.doi.org/10.1007/978-3-319-22183-0_21
Marginean:2019:ICSE SapFix: Automated End-to-End Repair at Scale
AlexandruMarginean.html
JohannesBader.html
SatishChandra.html
MarkHarman.html
YueJia.html
KeMao.html
AlexanderMols.html
AndrewScott.html
https___2019.icse-conferences.org_details_icse-2019-Software-Engineering-in-Practice_9_SapFix-Automated-End-to-End-Repair-at-Scale https://2019.icse-conferences.org/details/icse-2019-Software-Engineering-in-Practice/9/SapFix-Automated-End-to-End-Repair-at-Scale
https___research.fb.com_publications_sapfix-automated-end-to-end-repair-at-scale_ https://research.fb.com/publications/sapfix-automated-end-to-end-repair-at-scale/
http___dx.doi.org_10.1109_ICSE-SEIP.2019.00039 http://dx.doi.org/10.1109/ICSE-SEIP.2019.00039
Marginean_10137954_thesis_redacted Automated Software Transplantation
AlexandruMarginean.html
https___discovery.ucl.ac.uk_id_eprint_10137954_ https://discovery.ucl.ac.uk/id/eprint/10137954/
https___discovery.ucl.ac.uk_id_eprint_10137954_1_Marginean_10137954_thesis_redacted.pdf https://discovery.ucl.ac.uk/id/eprint/10137954/1/Marginean_10137954_thesis_redacted.pdf
Margraf:2017:ICMLA An Evolutionary Learning Approach to Self-configuring Image Pipelines in the Context of Carbon Fiber Fault Detection
AndreasMargraf.html
AnthonyStein.html
LeonhardEngstler.html
SteffenGeinitz.html
JoergHaehner.html
http___dx.doi.org_10.1109_ICMLA.2017.0-165 http://dx.doi.org/10.1109/ICMLA.2017.0-165
Margraf:2023:ACSOS Evolving Processing Pipelines for Industrial Imaging with Cartesian Genetic Programming
AndreasMargraf.html
HenningCui.html
AnthonyStein.html
JoergHahner.html
http___dx.doi.org_10.1109_ACSOS58161.2023.00031 http://dx.doi.org/10.1109/ACSOS58161.2023.00031
Maria-Simoes:2023:EuroGP All You Need Is Sex for Diversity
JoseMariadaCostaSimoes.html
NunoLourenco.html
PenousalMachado.html
https___rdcu.be_c8U1x https://rdcu.be/c8U1x
http___dx.doi.org_10.1007_978-3-031-29573-7_18 http://dx.doi.org/10.1007/978-3-031-29573-7_18
Mariani:2016:GECCO Grammatical Evolution for the Multi-Objective Integration and Test Order Problem
ThainaMariani.html
GiovaniGuizzo.html
SilviaReginaVergilio.html
AuroraTrinidadRamirezPozo.html
http___dx.doi.org_10.1145_2908812.2908816 http://dx.doi.org/10.1145/2908812.2908816
Mariani:2017:IST A systematic review on search-based refactoring
ThainaMariani.html
SilviaReginaVergilio.html
http___dx.doi.org_10.1016_j.infsof.2016.11.009 http://dx.doi.org/10.1016/j.infsof.2016.11.009
http___www.sciencedirect.com_science_article_pii_S0950584916303779 http://www.sciencedirect.com/science/article/pii/S0950584916303779
marinakis_pap_2009 Pap smear diagnosis using a hybrid intelligent scheme focusing on genetic algorithm based feature selection and nearest neighbor classification
YannisMarinakis.html
GeorgiosDounias.html
JanJantzen.html
http___www.sciencedirect.com_science_article_pii_S0010482508001674 http://www.sciencedirect.com/science/article/pii/S0010482508001674
http___dx.doi.org_10.1016_j.compbiomed.2008.11.006 http://dx.doi.org/10.1016/j.compbiomed.2008.11.006
Marinescu:2018:SYNASC Evolving Mathematical Formulas using LINQ Expression Trees and Direct Applications to Credit Scoring
Alexandru-IonMarinescu.html
AncaAndreica.html
http___dx.doi.org_10.1109_SYNASC.2018.00069 http://dx.doi.org/10.1109/SYNASC.2018.00069
Marinescu:2014:NCA How Good is Genetic Programming at Predicting Changes and Defects?
CristinaMarinescu.html
http___dx.doi.org_10.1109_SYNASC.2014.78 http://dx.doi.org/10.1109/SYNASC.2014.78
Maringer:2011:CIFEr GP-based rebalancing triggers for the CPPI
DietmarGMaringer.html
TikeshRamtohul.html
http___dx.doi.org_10.1109_CIFER.2011.5953561 http://dx.doi.org/10.1109/CIFER.2011.5953561
Marini:evobio12 Understanding zooplankton long term variability through genetic programming
SimoneMarini.html
AlessandraConversi.html
http___dx.doi.org_10.1007_978-3-642-29066-4_5 http://dx.doi.org/10.1007/978-3-642-29066-4_5
Marini2016Martech Automatic fish counting from underwater video images: performance estimation and evaluation
SimoneMarini.html
ErnestoAzzurro.html
SalvatoreCoco.html
JoaquinDelRio.html
SergioEnguidanos.html
EmanuelaFanelli.html
MarcNoguerasCervera.html
ValerioSbragaglia.html
DanielMihaiToma.html
JacopoAguzzi.html
https___upcommons.upc.edu_handle_2117_99939 https://upcommons.upc.edu/handle/2117/99939
http___www.upc.edu_cdsarti_martech_usb_2016_papers_23.pdf http://www.upc.edu/cdsarti/martech/usb_2016/papers/23.pdf
MARINI201872 Automated estimate of fish abundance through the autonomous imaging device GUARD1
SimoneMarini.html
LorenzoPaoloCorgnati.html
CarloMantovani.html
MauroBastianini.html
EnnioOttaviani.html
EmanuelaFanelli.html
JacopoAguzzi.html
AnnalisaGriffa.html
Pierre-MariePoulain.html
http___dx.doi.org_10.1016_j.measurement.2018.05.035 http://dx.doi.org/10.1016/j.measurement.2018.05.035
http___www.sciencedirect.com_science_article_pii_S0263224118304226 http://www.sciencedirect.com/science/article/pii/S0263224118304226
Marini2018 Tracking Fish Abundance by Underwater Image Recognition
SimoneMarini.html
EmanuelaFanelli.html
ValerioSbragaglia.html
ErnestoAzzurro.html
JoaquinDelRioFernandez.html
JacopoAguzzi.html
http___dx.doi.org_10.1038_s41598-018-32089-8 http://dx.doi.org/10.1038/s41598-018-32089-8
Marino:2016:PPSN A General-Purpose Framework for Genetic Improvement
FrancescoMarino.html
GiovanniSquillero.html
AlbertoTonda.html
http___dx.doi.org_10.1007_978-3-319-45823-6_32 http://dx.doi.org/10.1007/978-3-319-45823-6_32
DBLP:conf/aiide/Marino19 Learning Strategies for Real-Time Strategy Games with Genetic Programming
JulianRHMarino.html
https___www.aaai.org_ojs_index.php_AIIDE_article_view_5249 https://www.aaai.org/ojs/index.php/AIIDE/article/view/5249
https___ojs.aaai.org_index.php_AIIDE_article_view_5249_5105 https://ojs.aaai.org/index.php/AIIDE/article/view/5249/5105
https___dblp.org_rec_conf_aiide_Marino19.bib https://dblp.org/rec/conf/aiide/Marino19.bib
MARINO:2022:asoc Evolving interpretable strategies for zero-sum games
JulianRHMarino.html
ClaudioFabianoMottaToledo.html
https___www.sciencedirect.com_science_article_pii_S1568494622002496 https://www.sciencedirect.com/science/article/pii/S1568494622002496
http___dx.doi.org_10.1016_j.asoc.2022.108860 http://dx.doi.org/10.1016/j.asoc.2022.108860
Mariot:2017:GECCO Evolutionary Algorithms for the Design of Orthogonal Latin Squares Based on Cellular Automata
LucaMariot.html
StjepanPicek.html
DomagojJakobovic.html
AlbertoLeporati.html
http___doi.acm.org_10.1145_3071178.3071284 http://doi.acm.org/10.1145/3071178.3071284
http___dx.doi.org_10.1145_3071178.3071284 http://dx.doi.org/10.1145/3071178.3071284
Mariot:2019:CandC Cellular automata based S-boxes
LucaMariot.html
StjepanPicek.html
AlbertoLeporati.html
DomagojJakobovic.html
http___dx.doi.org_10.1007_s12095-018-0311-8 http://dx.doi.org/10.1007/s12095-018-0311-8
Mariot:2019:EuroGP Hyper-bent Boolean Functions and Evolutionary Algorithms
LucaMariot.html
DomagojJakobovic.html
AlbertoLeporati.html
StjepanPicek.html
https___www.springer.com_us_book_9783030166694 https://www.springer.com/us/book/9783030166694
http___dx.doi.org_10.1007_978-3-030-16670-0_17 http://dx.doi.org/10.1007/978-3-030-16670-0_17
Mariot:2020:EuroGP An Evolutionary View on Reversible Shift-invariant Transformations
LucaMariot.html
StjepanPicek.html
DomagojJakobovic.html
AlbertoLeporati.html
https___www.human-competitive.org_sites_default_files_mariot.txt https://www.human-competitive.org/sites/default/files/mariot.txt
https___www.human-competitive.org_sites_default_files_an_evolutionary_view_on_reversible_shift-invariant_transformations.pdf https://www.human-competitive.org/sites/default/files/an_evolutionary_view_on_reversible_shift-invariant_transformations.pdf
https___www.youtube.com_watch_v_oABFvDN23vg https://www.youtube.com/watch?v=oABFvDN23vg
http___www.human-competitive.org_sites_default_files_mariotvideo.mp4 http://www.human-competitive.org/sites/default/files/mariotvideo.mp4
http___dx.doi.org_10.1007_978-3-030-44094-7_8 http://dx.doi.org/10.1007/978-3-030-44094-7_8
Mariot:GPEM Evolutionary algorithms for designing reversible cellular automata
LucaMariot.html
StjepanPicek.html
DomagojJakobovic.html
AlbertoLeporati.html
https___rdcu.be_cyKGY https://rdcu.be/cyKGY
http___dx.doi.org_10.1007_s10710-021-09415-7 http://dx.doi.org/10.1007/s10710-021-09415-7
Mariot:2022:CEC Evolutionary Construction of Perfectly Balanced Boolean Functions
LucaMariot.html
StjepanPicek.html
DomagojJakobovic.html
MarkoDurasevic.html
AlbertoLeporati.html
http___dx.doi.org_10.1109_CEC55065.2022.9870427 http://dx.doi.org/10.1109/CEC55065.2022.9870427
Marjanovic:2016:JU Prediction of GDP growth rate based on carbon dioxide (CO2) emissions
VladislavMarjanovic.html
MilosMilovancevic.html
IgorMladenovic.html
http___dx.doi.org_10.1016_j.jcou.2016.07.009 http://dx.doi.org/10.1016/j.jcou.2016.07.009
http___www.sciencedirect.com_science_article_pii_S2212982016301482 http://www.sciencedirect.com/science/article/pii/S2212982016301482
markose:2001:eafiof Evolutionary Arbitrage For FTSE-100 Index Options and Futures
SheriMMarkose.html
EdwardPKTsang.html
HakanEr.html
AbdelSalhi.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_TsangCEE2001.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/TsangCEE2001.pdf
http___privatewww.essex.ac.uk__scher_eddieProj_TsangCEE2001.doc http://privatewww.essex.ac.uk/~scher/eddieProj/TsangCEE2001.doc
http___dx.doi.org_10.1109_CEC.2001.934401 http://dx.doi.org/10.1109/CEC.2001.934401
markoso:2001:CFtr The new evolutionary computational paradigm of complex adaptive systems. Challenges and prospects for economics and finance
SheriMMarkose.html
http___www.essex.ac.uk_economics_discussion-papers_papers-text_dp532.pdf http://www.essex.ac.uk/economics/discussion-papers/papers-text/dp532.pdf
MarkoseTsangEr:2002:gagpcf EDDIE for Stock Index Options and Futures Arbitrage
SheriMMarkose.html
EdwardPKTsang.html
HakanEr.html
http___www.springer.com_economics_economic_theory_book_978-0-7923-7601-9 http://www.springer.com/economics/economic+theory/book/978-0-7923-7601-9
http___dx.doi.org_10.1007_978-1-4615-0835-9_14 http://dx.doi.org/10.1007/978-1-4615-0835-9_14
Markose:2002:gagpcf The New Evolutionary Computational Paradigm of Complex Adaptive Systems: Challenges and Prospects for Economics and Finance
SheriMMarkose.html
http___www.essex.ac.uk_economics_discussion-papers_papers-text_dp532.pdf http://www.essex.ac.uk/economics/discussion-papers/papers-text/dp532.pdf
http___www.springer.com_economics_economic_theory_book_978-0-7923-7601-9 http://www.springer.com/economics/economic+theory/book/978-0-7923-7601-9
http___dx.doi.org_10.1007_978-1-4615-0835-9_21 http://dx.doi.org/10.1007/978-1-4615-0835-9_21
Markovic:2017:PASMA Soft computing prediction of economic growth based in science and technology factors
DusanMarkovic.html
DaliborPetkovic.html
VlastimirNikolic.html
MilosMilovancevic.html
BiljanaPetkovic.html
http___dx.doi.org_10.1016_j.physa.2016.08.034 http://dx.doi.org/10.1016/j.physa.2016.08.034
http___www.sciencedirect.com_science_article_pii_S0378437116305519 http://www.sciencedirect.com/science/article/pii/S0378437116305519
Marks:2017:iEI Introduction to Evolutionary Informatics
RobertJMarksII.html
WilliamADembski.html
WinstonEwert.html
https___www.amazon.co.uk_Introduction-Evolutionary-Informatics-Robert-Marks_dp_9813142146 https://www.amazon.co.uk/Introduction-Evolutionary-Informatics-Robert-Marks/dp/9813142146
http___dx.doi.org_10.1142_9974 http://dx.doi.org/10.1142/9974
Markus:2010:JH Prediction of weekly nitrate-N fluctuations in a small agricultural watershed in Illinois
MomciloMarkus.html
MohamadIHejazi.html
PeterBajcsy.html
OrazioGiustolisi.html
DraganSavic.html
https___iwaponline.com_jh_article-pdf_12_3_251_386467_251.pdf https://iwaponline.com/jh/article-pdf/12/3/251/386467/251.pdf
http___dx.doi.org_10.2166_hydro.2010.064 http://dx.doi.org/10.2166/hydro.2010.064
Marlaithong:2023:ACC A Log Parsing Framework for ALICE O2 Facilities
TinnakornMarlaithong.html
VascoChibanteBarroso.html
PhondPhunchongharn.html
http___dx.doi.org_10.1109_ACCESS.2023.3293406 http://dx.doi.org/10.1109/ACCESS.2023.3293406
marmelstein:1998:pchGPpdta Pattern Classification using a Hybrid Genetic Program Decision Tree Approach
RobertEvanMarmelstein.html
GaryBLamont.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_gp1998_marmelstein_1998_pchGPpdta.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/gp1998/marmelstein_1998_pchGPpdta.pdf
marmelstein:1998:GRaCCE GRaCCE: A Genetic Environment for Data Mining
RobertEvanMarmelstein.html
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http___citeseer.ist.psu.edu_103989.html http://citeseer.ist.psu.edu/103989.html
Marmelstein:1998:GPCEE GPCEE: A Genetic Programming Approach to Data Mining
RobertEvanMarmelstein.html
GaryBLamont.html
marmelstein:1998:ecdrs Evolving Compact Decision Rule Sets
RobertEvanMarmelstein.html
GaryBLamont.html
http___en.afit.af.mil_hpc_students_rmarmels_gp98pp.ps.gz http://en.afit.af.mil/hpc/students/rmarmels/gp98pp.ps.gz
marmelstein:thesis Evolving Compact Decision Rule Sets
RobertEvanMarmelstein.html
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ftp___math.chtf.stuba.sk_pub_vlado_thesis_Marmelstein_thesis_Marmelstein.ps.gz ftp://math.chtf.stuba.sk/pub/vlado/thesis_Marmelstein/thesis_Marmelstein.ps.gz
Marmelstein:book Evolving Compact Decision Rule Sets
RobertEvanMarmelstein.html
https___www.amazon.co.uk_Evolving-Compact-Decision-Rule-Sets_dp_1288324286 https://www.amazon.co.uk/Evolving-Compact-Decision-Rule-Sets/dp/1288324286
http___www.brightsurf.com_brightsurf_books_1423544757_Evolving_Compact_Decision_Rule_Sets.html http://www.brightsurf.com/brightsurf/books/1423544757/Evolving_Compact_Decision_Rule_Sets.html
https___www.abebooks.co.uk_servlet_SearchResults_bi_0_bx_off_ds_30_isbn_9781288324286_recentlyadded_all_sortby_17_sts_t https://www.abebooks.co.uk/servlet/SearchResults?bi=0&bx=off&ds=30&isbn=9781288324286&recentlyadded=all&sortby=17&sts=t
marney:2000:jasss Why do simulation? Towards a working epistemology for practitioners of the dark arts
JohnPaulMarney.html
HeatherFETarbert.html
http___jasss.soc.surrey.ac.uk_3_4_4.html http://jasss.soc.surrey.ac.uk/3/4/4.html
marney:2000:CEF Technical Trading versus Market Efficiency-A Genetic Programming Approach
JohnPaulMarney.html
HeatherFETarbert.html
ColinFyfe.html
http___ideas.repec.org_p_sce_scecf0_169.html http://ideas.repec.org/p/sce/scecf0/169.html
marney:2001:SCE Risk Adjusted Returns to Technical Trading Rules: a Genetic Programming Approach
JohnPaulMarney.html
DMiller.html
ColinFyfe.html
HeatherFETarbert.html
http___EconPapers.repec.org_RePEc_sce_scecf1_147 http://EconPapers.repec.org/RePEc:sce:scecf1:147
Marois:2021:CogSIMA Evaluation of Evolutionary Algorithms Under Frugal Learning Constraints for Online Policy Capturing
AlexandreMarois.html
LoicGrossetete.html
BenedicteChatelais.html
DanielLafond.html
http___dx.doi.org_10.1109_CogSIMA51574.2021.9475930 http://dx.doi.org/10.1109/CogSIMA51574.2021.9475930
Maroufpoor:2019:AWM Modeling the sprinkler water distribution uniformity by data-driven methods based on effective variables
SamanMaroufpoor.html
JalalShiri.html
EisaMaroufpoor.html
https___www.sciencedirect.com_science_article_pii_S0378377418313258 https://www.sciencedirect.com/science/article/pii/S0378377418313258
http___dx.doi.org_10.1016_j.agwat.2019.01.008 http://dx.doi.org/10.1016/j.agwat.2019.01.008
Marques-Pita:2011:ieeeALife Schema Redescription in Cellular Automata: Revisiting Emergence in Complex Systems
ManuelMarques-Pita.html
LuisMRocha.html
http___arxiv.org_abs_1102.1691 http://arxiv.org/abs/1102.1691
marquez:2021:AS An Intelligent Approach to Resource Allocation on Heterogeneous Cloud Infrastructures
JackMarquez.html
OscarHernanMondragonMartinez.html
JuanDGonzalez.html
https___www.mdpi.com_2076-3417_11_21_9940 https://www.mdpi.com/2076-3417/11/21/9940
http___dx.doi.org_10.3390_app11219940 http://dx.doi.org/10.3390/app11219940
Marquez-Vera:2013:AI Predicting student failure at school using genetic programming and different data mining approaches with high dimensional and imbalanced data
CarlosMarquez-Vera.html
AlbertoCanoRojas.html
CristobalRomeroMorales.html
SebastianVentura.html
http___dx.doi.org_10.1007_s10489-012-0374-8 http://dx.doi.org/10.1007/s10489-012-0374-8
Marrega:2015:ieeeEMBC Comparison between Decision Tree and Genetic Programming to distinguish healthy from stroke postural sway patterns
LuizHGMarrega.html
SimoneMSilva.html
ElisangelaFManffra.html
JulioCesarNievola.html
http___dx.doi.org_10.1109_EMBC.2015.7319960 http://dx.doi.org/10.1109/EMBC.2015.7319960
Marriboyina:2012:jcta A Survey on Genetic Programming in Data Mining Tasks
VenkatadriMarriboyina.html
HanumatGSastry.html
LokanathaCReddy.html
http___stmjournals.com_index.php_journal_JoCTA_page_article_op_view_path___1701 http://stmjournals.com/index.php?journal=JoCTA&page=article&op=view&path[]=1701
Marrone:2016:PCS Finding Resilient and Energy-saving Control Strategies in Smart Homes
StefanoMarrone.html
UgoGentile.html
http___dx.doi.org_10.1016_j.procs.2016.04.195 http://dx.doi.org/10.1016/j.procs.2016.04.195
http___www.sciencedirect.com_science_article_pii_S1877050916302289 http://www.sciencedirect.com/science/article/pii/S1877050916302289
Marshall:2014:GECCOcomp Hyper-heuristics, grammatical evolution and the capacitated vehicle routing problem
RichardJMarshall.html
MarkJohnston.html
MengjieZhang.html
http___doi.acm.org_10.1145_2598394.2598407 http://doi.acm.org/10.1145/2598394.2598407
http___dx.doi.org_10.1145_2598394.2598407 http://dx.doi.org/10.1145/2598394.2598407
Marshall:2014:SEAL A Comparison between Two Evolutionary Hyper-Heuristics for Combinatorial Optimisation
RichardJMarshall.html
MarkJohnston.html
MengjieZhang.html
http___dx.doi.org_10.1007_978-3-319-13563-2_52 http://dx.doi.org/10.1007/978-3-319-13563-2_52
conf/seal/MarshallJZ14a Developing a Hyper-Heuristic Using Grammatical Evolution and the Capacitated Vehicle Routing Problem
RichardJMarshall.html
MarkJohnston.html
MengjieZhang.html
http___dx.doi.org_10.1007_978-3-319-13563-2 http://dx.doi.org/10.1007/978-3-319-13563-2
Martens200910 ANTIGONE: Top-down creation of analog-to-digital converter architectures
EwoutMartens.html
GeorgesGEGielen.html
http___dx.doi.org_10.1016_j.vlsi.2008.07.001 http://dx.doi.org/10.1016/j.vlsi.2008.07.001
http___www.sciencedirect.com_science_article_B6V1M-4T0WJNT-1_2_78ea82c92c1ba53cc4f227f0d3e3067e http://www.sciencedirect.com/science/article/B6V1M-4T0WJNT-1/2/78ea82c92c1ba53cc4f227f0d3e3067e
Martens:book High-Level Modeling and Synthesis of Analog Integrated Systems
EwoutMartens.html
GeorgesGEGielen.html
http___dx.doi.org_10.1007_978-1-4020-6802-7 http://dx.doi.org/10.1007/978-1-4020-6802-7
Martens:2019:GECCOcomp Neural network architecture search with differentiable cartesian genetic programming for regression
MarcusMartens.html
DarioIzzo.html
http___dx.doi.org_10.1145_3319619.3322003 http://dx.doi.org/10.1145/3319619.3322003
martens:2000:ACXDCSGP Automatic Creation of XML Document Conversion Scripts by Genetic Programming
ScottMartens.html
DBLP:journals/corr/abs-2206-06213 Symbolic Regression for Space Applications: Differentiable Cartesian Genetic Programming Powered by Multi-objective Memetic Algorithms
MarcusMartens.html
DarioIzzo.html
https___doi.org_10.48550_arXiv.2206.06213 https://doi.org/10.48550/arXiv.2206.06213
http___dx.doi.org_10.48550_arXiv.2206.06213 http://dx.doi.org/10.48550/arXiv.2206.06213
https___dblp.org_rec_journals_corr_abs-2206-06213.bib https://dblp.org/rec/journals/corr/abs-2206-06213.bib
Martin:2010:EvoGAMES Evolving 3D Buildings for the Prototype Video Game Subversion
AndrewMartin.html
AndrewLim.html
SimonColton.html
CameronBrowne.html
http___dx.doi.org_10.1007_978-3-642-12239-2_12 http://dx.doi.org/10.1007/978-3-642-12239-2_12
tesis_carlos_martin_fernandez_2019 Automatic generation of trading rules adjusted to the market state
CarlosMartin.html
http___hdl.handle.net_10016_28771 http://hdl.handle.net/10016/28771
https___e-archivo.uc3m.es_bitstream_handle_10016_28771_tesis_carlos_martin_fernandez_2019.pdf https://e-archivo.uc3m.es/bitstream/handle/10016/28771/tesis_carlos_martin_fernandez_2019.pdf
MARTIN:2019:Neurocomputing Evolution of trading strategies with flexible structures: A configuration comparison
CarlosMartin.html
DavidQuintanaMontero.html
PedroIsasiVinuela.html
http___dx.doi.org_10.1016_j.neucom.2018.11.062 http://dx.doi.org/10.1016/j.neucom.2018.11.062
http___www.sciencedirect.com_science_article_pii_S0925231218314061 http://www.sciencedirect.com/science/article/pii/S0925231218314061
journals/asc/MartinQI19 Grammatical Evolution-based ensembles for algorithmic trading
CarlosMartin.html
DavidQuintanaMontero.html
PedroIsasiVinuela.html
https___www.sciencedirect.com_science_article_pii_S1568494619304946 https://www.sciencedirect.com/science/article/pii/S1568494619304946
http___dx.doi.org_10.1016_j.asoc.2019.105713 http://dx.doi.org/10.1016/j.asoc.2019.105713
journals/ijimai/MartinQI21 Dynamic Generation of Investment Recommendations Using Grammatical Evolution
CarlosMartin.html
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https___www.ijimai.org_journal_sites_default_files_2021-05_ijimai_6_6_11.pdf https://www.ijimai.org/journal/sites/default/files/2021-05/ijimai_6_6_11.pdf
http___dx.doi.org_10.9781_ijimai.2021.04.007 http://dx.doi.org/10.9781/ijimai.2021.04.007
Martin:1998:RDM A Relational Data Mining Tool Based on Genetic Programming
LionelMartin.html
FredericMoal.html
ChristelVrain.html
http___dx.doi.org_10.1007_BFb0094813 http://dx.doi.org/10.1007/BFb0094813
martin:1999:DGP Declarative expression of biases in Genetic Programming
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ChristelVrain.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_gecco1999_martin_1999_dgp.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/gecco1999/martin_1999_dgp.pdf
Martin_1998_3062 Breaking Out of the Black Box: A New Approach to Robot Perception
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http___www.ri.cmu.edu_pub_files_pub2_martin_martin_c_1998_1_martin_martin_c_1998_1.pdf http://www.ri.cmu.edu/pub_files/pub2/martin_martin_c_1998_1/martin_martin_c_1998_1.pdf
http___www.ri.cmu.edu_pub_files_pub2_martin_martin_c_1998_1_martin_martin_c_1998_1.ps.gz http://www.ri.cmu.edu/pub_files/pub2/martin_martin_c_1998_1/martin_martin_c_1998_1.ps.gz
martin2:2001:gecco Visual Obstacle Avoidance Using Genetic Programming: First Results
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Martin_2001_3875 The simulated evolution of robot perception
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http___www.ri.cmu.edu_pub_files_pub3_martin_martin_c_2001_1_martin_martin_c_2001_1.pdf http://www.ri.cmu.edu/pub_files/pub3/martin_martin_c_2001_1/martin_martin_c_2001_1.pdf
oai:CiteSeerPSU:547772 Genetic Programming for Robot Vision
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oai:CiteSeerPSU:544306 Genetic programming for real world robot vision
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Martin:2006:PRL Evolving visual sonar: Depth from monocular images
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PeterMartin:masters An Investigation into the use of Genetic Programming for Intelligent Network Service Creation
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martin:2000:GPscin Genetic Programming for Service Creation in Intelligent Networks
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http___dx.doi.org_10.1023_A_1012942304464 http://dx.doi.org/10.1023/A:1012942304464
oai:CiteSeerPSU:566603 Analysis of the Behavior of a Hardware Implementation of GP using FPGAs and Handel-C
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http___www.naiadhome.com_csm-357.pdf http://www.naiadhome.com/csm-357.pdf
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oai:CiteSeerPSU:569263 An Analysis of Random Number Generators for a Hardware Implementation of Genetic Programming using FPGAs and Handel-C
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martin2:2002:gecco Crossover Operators For a Hardware Implementation Of GP Using FPGAs and Handel-C
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martin:2002:gecco An Analysis Of Random Number Generators For a Hardware Implementation of Genetic Programming Using FPGAs And Handel-C
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martin:thesis Genetic Programming in Hardware
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Martin:2013:GECCOcomp Evolving black-box search algorithms employing genetic programming
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DanielRTauritz.html
http___dx.doi.org_10.1145_2464576.2482728 http://dx.doi.org/10.1145/2464576.2482728
Martin:2014:GECCOcomp Multi-sample evolution of robust black-box search algorithms
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Martin:2014:GECCOcompa A problem configuration study of the robustness of a black-box search algorithm hyper-heuristic
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DanielRTauritz.html
http___doi.acm.org_10.1145_2598394.2609872 http://doi.acm.org/10.1145/2598394.2609872
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Martin:2015:GECCOcompa Asynchronous Parallel Evolutionary Algorithms: Leveraging Heterogeneous Fitness Evaluation Times for Scalability and Elitist Parsimony Pressure
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AlexRBertels.html
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MARTINALCANTARA:2023:seta Design of a passive flow control solution for the mitigation of vortex induced vibrations on wind turbines blade sections as a response to extreme weather events
AntonioMartin-Alcantara.html
ValentinaMotta.html
AndreaTarantino.html
MariaGraziaDeGiorgi.html
http___dx.doi.org_10.1016_j.seta.2023.103053 http://dx.doi.org/10.1016/j.seta.2023.103053
https___www.sciencedirect.com_science_article_pii_S2213138823000450 https://www.sciencedirect.com/science/article/pii/S2213138823000450
Martin-Garcia:2014:CinC Cardiac Arrhythmia Discrimination Using Evolutionary Computation
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InmaculadaMora-Jimenez.html
ArcadioGarcia-Alberola.html
JoseLuisRojo-Alvarez.html
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martin-moreno:2022:IJERPH Predictive Models for Forecasting Public Health Scenarios: Practical Experiences Applied during the First Wave of the COVID-19 Pandemic
JoseMMartin-Moreno.html
AntoniAlegre-Martinez.html
VictorMartin-Gorgojo.html
JoseLuisAlfonso-Sanchez.html
FerranTorres.html
VicentePallares-Carratala.html
https___www.mdpi.com_1660-4601_19_9_5546 https://www.mdpi.com/1660-4601/19/9/5546
http___dx.doi.org_10.3390_ijerph19095546 http://dx.doi.org/10.3390/ijerph19095546
Martinez:2014:Medellin Predicci\'on de los precios de contratos de electricidad usando programaci\'on gen\'etica con bloques funcionales
CarlosAlbertoMartinez.html
JuanDavidVelasquezHenao.html
http___dialnet.unirioja.es_servlet_oaiart_codigo_4993242 http://dialnet.unirioja.es/servlet/oaiart?codigo=4993242
Martinez:2015:ieeeLAT Conceptual Developments in Genetic Programming for Time Series Forecasting
CarlosAlbertoMartinez.html
JuanDavidVelasquezHenao.html
http___dx.doi.org_10.1109_TLA.2015.7332156 http://dx.doi.org/10.1109/TLA.2015.7332156
Martinez:2016:ieeeLatin An Efficient New Scheme of Fitness Evaluation in Genetic Programming using the R Language
CarlosAlbertoMartinez.html
JuanDavidVelasquezHenao.html
http___dx.doi.org_10.1109_TLA.2016.7483527 http://dx.doi.org/10.1109/TLA.2016.7483527
martinez:hal-01075976 ASTOR: Evolutionary Automatic Software Repair for Java
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Martinez:2017:ESE Automatic repair of real bugs in java: a large-scale experiment on the defects4j dataset
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ThomasDurieux.html
RomainSommerard.html
JifengXuan.html
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https___hal.archives-ouvertes.fr_hal-01387556_ https://hal.archives-ouvertes.fr/hal-01387556/
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http___dx.doi.org_10.1007_s10664-016-9470-4 http://dx.doi.org/10.1007/s10664-016-9470-4
Martinez:2013:CEC Searching for Novel Regression Functions
YulianaMartinez.html
EnriqueNaredo.html
LeonardoTrujillo.html
EdgarGalvanLopez.html
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Martinez:2014:EVOLVE A Comparison of Fitness-Case Sampling Methods for Symbolic Regression with Genetic Programming
YulianaMartinez.html
LeonardoTrujillo.html
EnriqueNaredo.html
PierrickLegrand.html
http___dx.doi.org_10.1007_978-3-319-07494-8_14 http://dx.doi.org/10.1007/978-3-319-07494-8_14
Martinez:2016:GPEM Prediction of expected performance for a genetic programming classifier
YulianaMartinez.html
LeonardoTrujillo.html
PierrickLegrand.html
EdgarGalvanLopez.html
http___dx.doi.org_10.1007_s10710-016-9265-9 http://dx.doi.org/10.1007/s10710-016-9265-9
tesis_Yuliana Prediction Performance and Problem Difficulty in Genetic Programming
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journals/jetai/MartinezNTLL17 A comparison of fitness-case sampling methods for genetic programming
YulianaMartinez.html
EnriqueNaredo.html
LeonardoTrujillo.html
PierrickLegrand.html
UrielLopez.html
http___dx.doi.org_10.1080_0952813X.2017.1328461 http://dx.doi.org/10.1080/0952813X.2017.1328461
conf/sgai/Martinez-ArellanoNB12 Improving WRF-ARW Wind Speed Predictions using Genetic Programming
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LarsNolle.html
JohnABland.html
http___dx.doi.org_10.1007_978-1-4471-4739-8 http://dx.doi.org/10.1007/978-1-4471-4739-8
http___dx.doi.org_10.1007_978-1-4471-4739-8_27 http://dx.doi.org/10.1007/978-1-4471-4739-8_27
Martinez-Arellano:2013:mendel Short-term wind power forecasting with WRF-ARW model and genetic programming
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LarsNolle.html
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conf/sgai/Martinez-ArellanoN13 Genetic Programming for Wind Power Forecasting and Ramp Detection
GiovannaMartinez-Arellano.html
LarsNolle.html
http___dx.doi.org_10.1007_978-3-319-02621-3 http://dx.doi.org/10.1007/978-3-319-02621-3
http___dx.doi.org_10.1007_978-3-319-02621-3_30 http://dx.doi.org/10.1007/978-3-319-02621-3_30
http___dx.doi.org_10.1007_978-3-319-02621-3_30 http://dx.doi.org/10.1007/978-3-319-02621-3_30
Martinez-Arellano:2014:UKSim Prediction of Jet Engine Parameters for Control Design Using Genetic Programming
GiovannaMartinez-Arellano.html
RichardCant.html
LarsNolle.html
http___dx.doi.org_10.1109_UKSim.2014.64 http://dx.doi.org/10.1109/UKSim.2014.64
Martinez-Arellano:thesis Forecasting Wind Power for the Day-Ahead Market using Numerical Weather Models and Computational Intelligence Techniques
GiovannaMartinez-Arellano.html
http___irep.ntu.ac.uk_id_eprint_322_ http://irep.ntu.ac.uk/id/eprint/322/
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Martinez-Arellano:2017:ieeeTCIAIG Creating AI Characters for Fighting Games using Genetic Programming
GiovannaMartinez-Arellano.html
RichardCant.html
DavidWoods.html
http___dx.doi.org_10.1109_TCIAIG.2016.2642158 http://dx.doi.org/10.1109/TCIAIG.2016.2642158
Martinez-Julia:2021:IM Automation and Multi-Objective Optimization of Virtual Network Embedding
PedroMartinez-Julia.html
VedPKafle.html
HitoshiAsaeda.html
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Martinez-Rodriguez:2018:IWISC Saliency improvement through genetic programming
DianaEMartinez-Rodriguez.html
MarcoAntonioContrerasCruz.html
UrielHaileHernandezBelmonte.html
SergeyBereg.html
VictorAyala-Ramirez.html
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http___dx.doi.org_10.1145_3191801.3191809 http://dx.doi.org/10.1145/3191801.3191809
MartinezCanillas:2009:CLEI Estimation Models Generation using Linear Genetic Programming
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BenjaminBaranCegla.html
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http___www.clei.cl_cleiej_paper.php_id_172 http://www.clei.cl/cleiej/paper.php?id=172
Martinez-Jaramillo:thesis Artificial Financial Markets: An Agent Based Approach to Reproduce Stylized Facts and to study the Red Queen Effect
SerafinMartinezJaramillo.html
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Martinez-Jaramillo:2009:ieeeTEC An Heterogeneous, Endogenous and Coevolutionary GP-Based Financial Market
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EdwardPKTsang.html
http___dx.doi.org_10.1109_TEVC.2008.2011401 http://dx.doi.org/10.1109/TEVC.2008.2011401
Martins:2018:LA-CCI Discovering SQL Queries from Examples using Intelligent Algorithms
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GottfriedVossen.html
FernandoBuarquedeLimaNeto.html
http___dx.doi.org_10.1109_LA-CCI.2018.8625260 http://dx.doi.org/10.1109/LA-CCI.2018.8625260
Martins:2018:GECCO Solving the exponential growth of symbolic regression trees in geometric semantic genetic programming
JoaoFranciscoBSMartins.html
LuizOtavioVilasBoasOliveira.html
LuisFernandoMiranda.html
FelipeCasadei.html
GiseleLPappa.html
http___dx.doi.org_10.1145_3205455.3205593 http://dx.doi.org/10.1145/3205455.3205593
Martins-Lima:2023:EuroGP Adaptive Batch Size CGP: Improving accuracy and runtime for CGP Logic Optimization flow
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NaiaraSachetti.html
AugustoAndreSouzaBerndt.html
CristinaMeinhardt.html
JonataTyskaCarvalho.html
https___rdcu.be_c8US8 https://rdcu.be/c8US8
http___dx.doi.org_10.1007_978-3-031-29573-7_10 http://dx.doi.org/10.1007/978-3-031-29573-7_10
conf/iconip/MarutaZNSK17 Grammatical Evolution Using Tree Representation Learning
ShunyaMaruta.html
YiZuo.html
MasahiroNagao.html
HideyukiSugiura.html
EisukeKita.html
http___dx.doi.org_10.1007_978-3-319-70093-9_36 http://dx.doi.org/10.1007/978-3-319-70093-9_36
Marvel:2012:GECCOcomp Grammatical evolution support vector machines for predicting human genetic disease association
SkylarMarvel.html
AlisonAMotsinger.html
http___dx.doi.org_10.1145_2330784.2330881 http://dx.doi.org/10.1145/2330784.2330881
Marwala:2006:CEC Bayesian Training of Neural Networks Using Genetic Programming
TshilidziMarwala.html
http___dx.doi.org_10.1109_IJCNN.2006.247374 http://dx.doi.org/10.1109/IJCNN.2006.247374
Marwala:2007:PRL Bayesian Training of Neural Networks Using Genetic Programming
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http___dx.doi.org_10.1016_j.patrec.2007.03.004 http://dx.doi.org/10.1016/j.patrec.2007.03.004
MARZBAN:2021:IJBM Intelligent modeling and experimental study on methylene blue adsorption by sodium alginate-kaolin beads
NaderMarzban.html
AhmadMoheb.html
SvitlanaFilonenko.html
SeyyedHosseinHosseini.html
MohammadJavadNouri.html
JudyALibra.html
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http___dx.doi.org_10.1016_j.ijbiomac.2021.07.006 http://dx.doi.org/10.1016/j.ijbiomac.2021.07.006
MARZBAN:2022:jece Experimental evaluation and application of genetic programming to develop predictive correlations for hydrochar higher heating value and yield to optimize the energy content
NaderMarzban.html
JudyALibra.html
SeyyedHosseinHosseini.html
MarcusGFischer.html
VeraSusanneRotter.html
http___dx.doi.org_10.1016_j.jece.2022.108880 http://dx.doi.org/10.1016/j.jece.2022.108880
https___www.sciencedirect.com_science_article_pii_S2213343722017535 https://www.sciencedirect.com/science/article/pii/S2213343722017535
kinnear:masand Optimising Confidence of Text Classification by Evolution of Symbolic Expressions
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http___www.amazon.co.uk_Advances-Genetic-Programming-Complex-Adaptive_dp_0262111888 http://www.amazon.co.uk/Advances-Genetic-Programming-Complex-Adaptive/dp/0262111888
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http___dx.doi.org_10.7551_mitpress_1108.003.0027 http://dx.doi.org/10.7551/mitpress/1108.003.0027
masand:1996:aigp2 Discovering Time Oriented Abstractions in Historical Data to Optimize Decision Tree Classification
BrijMasand.html
GregoryPiatesky-Shapiro.html
http___ieeexplore.ieee.org_xpl_articleDetails.jsp_tp__arnumber_6277523 http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6277523
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Mascia:2014:COR Grammar-based generation of stochastic local search heuristics through automatic algorithm configuration tools
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ManuelLopez-Ibanez.html
JeremieDubois-Lacoste.html
ThomasStuetzle.html
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http___www.sciencedirect.com_science_article_pii_S0305054814001555 http://www.sciencedirect.com/science/article/pii/S0305054814001555
Masek:2018:ASOR/DORS A Genetic Programming Framework for Novel Behaviour Discovery in Air Combat Scenarios
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ChiouPengLam.html
LukeKelly.html
LyndonBenke.html
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http___dx.doi.org_10.1007_978-3-030-60135-5_19 http://dx.doi.org/10.1007/978-3-030-60135-5_19
Mashiane:2014:PRASA Genetic Programming for Password Cracking, Phase One: Grammar Induction
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NelishiaPillay.html
http___hdl.handle.net_10204_10865 http://hdl.handle.net/10204/10865
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Maslen:2022:CEC Mixed Media in Evolutionary Art
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BrianJRoss.html
http___dx.doi.org_10.1109_CEC55065.2022.9870271 http://dx.doi.org/10.1109/CEC55065.2022.9870271
Maslov:2005:IF Multi-sensor fusion: an Evolutionary algorithm approach
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http___www.sciencedirect.com_science_article_B6W76-4FBM1CY-2_2_e57f81dddd02342a16c54961518cedde http://www.sciencedirect.com/science/article/B6W76-4FBM1CY-2/2/e57f81dddd02342a16c54961518cedde
http___dx.doi.org_10.1016_j.inffus.2005.01.001 http://dx.doi.org/10.1016/j.inffus.2005.01.001
Maslyaev:2021:CEC Multi-Objective Discovery of PDE Systems Using Evolutionary Approach
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http___dx.doi.org_10.1109_CEC45853.2021.9504712 http://dx.doi.org/10.1109/CEC45853.2021.9504712
Maslyaev:JCS Partial differential equations discovery with EPDE framework: application for real and synthetic data
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AnnaVKalyuzhnaya.html
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Maslyaev:2022:CEC Solver-Based Fitness Function for the Data-Driven Evolutionary Discovery of Partial Differential Equation
MikhailAMaslyaev.html
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http___dx.doi.org_10.1109_CEC55065.2022.9870370 http://dx.doi.org/10.1109/CEC55065.2022.9870370
Maslyaev:2023:GECCOcomp Comparison of Single- and Multi- Objective Optimization Quality for Evolutionary Equation Discovery
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http___dx.doi.org_10.1145_3583133.3590601 http://dx.doi.org/10.1145/3583133.3590601
Maslyaev:2023:itmo Multiobjective evolutionary discovery of equation-based analytical models for dynamical systems
MikhailAMaslyaev.html
AlexanderAHvatov.html
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http___dx.doi.org_10.17586_2226-1494-2023-23-1-97-104 http://dx.doi.org/10.17586/2226-1494-2023-23-1-97-104
masonis:1999:VPCE Valve Paradigm ``C'' Code Evolution
JToddMasonis.html
Masood:2016:CEC Many-Objective Genetic Programming for Job-Shop Scheduling
AtiyaMasood.html
YiMei.html
AaronChen.html
MengjieZhang.html
http___dx.doi.org_10.1109_CEC.2016.7743797 http://dx.doi.org/10.1109/CEC.2016.7743797
conf/acalci/MasoodMCZ17 A PSO-Based Reference Point Adaption Method for Genetic Programming Hyper-Heuristic in Many-Objective Job Shop Scheduling
AtiyaMasood.html
YiMei.html
AaronChen.html
MengjieZhang.html
http___dx.doi.org_10.1007_978-3-319-51691-2_28 http://dx.doi.org/10.1007/978-3-319-51691-2_28
Masood:2018:evocop Reference Point Adaption Method for Genetic Programming Hyper-Heuristic in Many-Objective Job Shop Scheduling
AtiyaMasood.html
AaronChen.html
YiMei.html
MengjieZhang.html
http___dx.doi.org_10.1007_978-3-319-77449-7_8 http://dx.doi.org/10.1007/978-3-319-77449-7_8
DBLP:conf/ausai/Masood0MAZ19 Genetic Programming with Pareto Local Search for Many-Objective Job Shop Scheduling
AtiyaMasood.html
AaronChen.html
YiMei.html
HarithAl-Sahaf.html
MengjieZhang.html
https___doi.org_10.1007_978-3-030-35288-2_43 https://doi.org/10.1007/978-3-030-35288-2_43
http___dx.doi.org_10.1007_978-3-030-35288-2_43 http://dx.doi.org/10.1007/978-3-030-35288-2_43
https___dblp.org_rec_conf_ausai_Masood0MAZ19.bib https://dblp.org/rec/conf/ausai/Masood0MAZ19.bib
Masood:2020:CEC A Fitness-based Selection Method for Pareto Local Search for Many-Objective Job Shop Scheduling
AtiyaMasood.html
GChen.html
YMei.html
HarithAl-Sahaf.html
MengjieZhang.html
http___dx.doi.org_10.1109_CEC48606.2020.9185881 http://dx.doi.org/10.1109/CEC48606.2020.9185881
Masood:thesis Many-Objective Genetic Programming for Job-Shop Scheduling
AtiyaMasood.html
http___researcharchive.vuw.ac.nz_handle_10063_9393 http://researcharchive.vuw.ac.nz/handle/10063/9393
http___hdl.handle.net_10063_9393 http://hdl.handle.net/10063/9393
http___researcharchive.vuw.ac.nz_bitstream_handle_10063_9393_thesis_access.pdf http://researcharchive.vuw.ac.nz/bitstream/handle/10063/9393/thesis_access.pdf
Masood:2021:CEC Feature Selection for Evolving Many-Objective Job Shop Scheduling Dispatching Rules with Genetic Programming
AtiyaMasood.html
AaronChen.html
MengjieZhang.html
http___dx.doi.org_10.1109_CEC45853.2021.9504895 http://dx.doi.org/10.1109/CEC45853.2021.9504895
Masood:2022:CEC Genetic Programming Hyper-heuristic with Gaussian Process-based Reference Point Adaption for Many-Objective Job Shop Scheduling
AtiyaMasood.html
AaronChen.html
YiMei.html
HarithAl-Sahaf.html
MengjieZhang.html
http___dx.doi.org_10.1109_CEC55065.2022.9870322 http://dx.doi.org/10.1109/CEC55065.2022.9870322
Masood:2022:sigevolution Many-Objective Genetic Programming for Job-Shop Scheduling
AtiyaMasood.html
https___evolution.sigevo.org_issues_HTML_sigevolution-15-4_index.htm https://evolution.sigevo.org/issues/HTML/sigevolution-15-4/index.htm
http___dx.doi.org_10.1145_3584367.3584370 http://dx.doi.org/10.1145/3584367.3584370
Masood:2023:AJCAI Genetic Programming with Adaptive Reference Points for Pareto Local Search in Many-Objective Job Shop Scheduling
AtiyaMasood.html
AaronChen.html
YiMei.html
HarithAl-Sahaf.html
MengjieZhang.html
http___dx.doi.org_10.1007_978-981-99-8391-9_37 http://dx.doi.org/10.1007/978-981-99-8391-9_37
MasoumiShahrBabak:2016:AOR Uplift capacity prediction of suction caisson in clay using a hybrid intelligence method (GMDH-HS)
MojtabaMasoumiShahr-Babak.html
MohammadJavadKhanjani.html
KouroshQaderi.html
http___dx.doi.org_10.1016_j.apor.2016.07.005 http://dx.doi.org/10.1016/j.apor.2016.07.005
http___www.sciencedirect.com_science_article_pii_S0141118716302450 http://www.sciencedirect.com/science/article/pii/S0141118716302450
Masrom:2019:AiDAS Automated Machine Learning based on Genetic Programming: a case study on a real house pricing dataset
SurayaMasrom.html
TMohd.html
NSJamil.html
ASARahman.html
NorhayatiBaharun.html
http___dx.doi.org_10.1109_AiDAS47888.2019.8970916 http://dx.doi.org/10.1109/AiDAS47888.2019.8970916
Masrom:2020:ICEIT Automated Machine Learning with Genetic Programming on Real Dataset of Tax Avoidance Classification Problem
SurayaMasrom.html
RahayuAbdulRahman.html
NorhayatiBaharun.html
AbdullahSaniBAbdRahman.html
https___doi.org_10.1145_3383923.3383942 https://doi.org/10.1145/3383923.3383942
http___dx.doi.org_10.1145_3383923.3383942 http://dx.doi.org/10.1145/3383923.3383942
Masrom:2020:IJ-AI Different mutation and crossover set of genetic programming in an automated machine learning
SurayaMasrom.html
MasurahMohamad.html
ShahirahMohamedHatim.html
NorhayatiBaharun.html
NasirohOmar.html
AbdullahSaniBAbdRahman.html
http___ijai.iaescore.com_index.php_IJAI_article_view_20499_pdf http://ijai.iaescore.com/index.php/IJAI/article/view/20499/pdf
http___dx.doi.org_10.11591_ijai.v9.i3.pp402-408 http://dx.doi.org/10.11591/ijai.v9.i3.pp402-408
DBLP:journals/corr/abs-1910-10065 Enhanced Evolutionary Symbolic Regression Via Genetic Programming for PV Power Forecasting
MohamedMassaoudi.html
InesChihi.html
LiliaSidhom.html
MohamedTrabelsi.html
ShadySRefaat.html
FakhreddineSOueslati.html
http___arxiv.org_abs_1910.10065 http://arxiv.org/abs/1910.10065
https___dblp.org_rec_journals_corr_abs-1910-10065.bib https://dblp.org/rec/journals/corr/abs-1910-10065.bib
massey:eqc:gecco2004 Evolving Quantum Circuits and Programs Through Genetic Programming
PaulSMassey.html
JohnAClark.html
SusanStepney.html
http___www-users.cs.york.ac.uk_susan__bib_ss_nonstd_gecco04.pdf http://www-users.cs.york.ac.uk/susan//bib/ss/nonstd/gecco04.pdf
http___dx.doi.org_10.1007_b98645 http://dx.doi.org/10.1007/b98645
1068288 Evolution of a human-competitive quantum fourier transform algorithm using genetic programming
PaulSMassey.html
JohnAClark.html
SusanStepney.html
http___gpbib.cs.ucl.ac.uk_gecco2005_docs_p1657.pdf http://gpbib.cs.ucl.ac.uk/gecco2005/docs/p1657.pdf
http___dx.doi.org_10.1145_1068009.1068288 http://dx.doi.org/10.1145/1068009.1068288
massey:2006:EC Human-Competitive Evolution of Quantum Computing Artefacts by Genetic Programming
PaulSMassey.html
JohnAClark.html
SusanStepney.html
http___www.mitpressjournals.org_doi_abs_10.1162_evco.2006.14.1.21 http://www.mitpressjournals.org/doi/abs/10.1162/evco.2006.14.1.21
http___dx.doi.org_10.1162_106365606776022797 http://dx.doi.org/10.1162/106365606776022797
Massey:thesis Searching for Quantum Software
PaulSMassey.html
http___www.cs.york.ac.uk_ftpdir_reports_2007_YCST_11_YCST-2007-11.pdf http://www.cs.york.ac.uk/ftpdir/reports/2007/YCST/11/YCST-2007-11.pdf
Masui94 Evolutionary Learning of Graph Layout Constraints from Examples
ToshiyukiMasui.html
http___delivery.acm.org_10.1145_200000_192468_p103-masui.pdf_key1_192468_key2_4873616011_coll_GUIDE_dl_GUIDE_CFID_36810799_CFTOKEN_40084029 http://delivery.acm.org/10.1145/200000/192468/p103-masui.pdf?key1=192468&key2=4873616011&coll=GUIDE&dl=GUIDE&CFID=36810799&CFTOKEN=40084029
http___www.acm.org_pubs_articles_proceedings_uist_192426_p103-masui_p103-masui.pdf http://www.acm.org/pubs/articles/proceedings/uist/192426/p103-masui/p103-masui.pdf
http___dx.doi.org_10.1145_192426.192468 http://dx.doi.org/10.1145/192426.192468
mataric:1995:cecprTR Challenges in Evolving Controllers for Physical Robots
MajaJMataric.html
DaveCliff.html
http___robotics.usc.edu__maja_publications_ras-fukuda.ps.gz http://robotics.usc.edu/~maja/publications/ras-fukuda.ps.gz
http___citeseer.ist.psu.edu_mataric96challenges.html http://citeseer.ist.psu.edu/mataric96challenges.html
mataric:1995:cecpr Challenges in Evolving Controllers for Physical Robots
MajaJMataric.html
DaveCliff.html
http___dx.doi.org_10.1016_S0921-8890_96_00034-6 http://dx.doi.org/10.1016/S0921-8890(96)00034-6
Mathieson2019 Using Network Alignment to Identify Conserved Consumer Behaviour Modelling Constructs
LukeMathieson.html
NatalieJanedeVries.html
PabloMoscato.html
http___dx.doi.org_10.1007_978-3-030-06222-4_12 http://dx.doi.org/10.1007/978-3-030-06222-4_12
Matousek:2009:MENDEL Grammatical Evolution: Epsilon Tube in Symbolic Regression Rask
RadomilMatousek.html
JozefBednar.html
conf/wcecs_2009_II/193 Grammatical Evolution: STE criterion in Symbolic Regression Task
RadomilMatousek.html
http___www.iaeng.org_publication_WCECS2009_WCECS2009_pp1050-1054.pdf http://www.iaeng.org/publication/WCECS2009/WCECS2009_pp1050-1054.pdf
Matousek:2019:CEC Stabilization of Higher Periodic Orbits of the Chaotic Logistic and Henon Maps using Meta-evolutionary Approaches
RadomilMatousek.html
TomasHulka.html
http___dx.doi.org_10.1109_CEC.2019.8790075 http://dx.doi.org/10.1109/CEC.2019.8790075
Matousek:2019:ICCAIRO Sum Epsilon-Tube Error Fitness Function Design for GP Symbolic Regression: Preliminary Study
RadomilMatousek.html
TomasHulka.html
LadislavDobrovsky.html
JakubKudela.html
http___dx.doi.org_10.1109_ICCAIRO47923.2019.00021 http://dx.doi.org/10.1109/ICCAIRO47923.2019.00021
Matousek:2021:CEC Stabilization of Higher Periodic Orbits of the Lozi and Henon Maps using Meta-evolutionary Approaches
RadomilMatousek.html
RenePierreLozi.html
TomasHulka.html
http___dx.doi.org_10.1109_CEC45853.2021.9504798 http://dx.doi.org/10.1109/CEC45853.2021.9504798
Matousek:2022:CEC Stabilization of Higher Periodic Orbits of the Duffing Map using Meta-evolutionary Approaches: A Preliminary Study
RadomilMatousek.html
TomasHulka.html
http___dx.doi.org_10.1109_CEC55065.2022.9870372 http://dx.doi.org/10.1109/CEC55065.2022.9870372
Mat-Radzi:2021:JPM Hyperparameter Tuning and Pipeline Optimization via Grid Search Method and Tree-Based AutoML in Breast Cancer Prediction
SitiFairuzBtMatRadzi.html
MuhammadKhalisBinAbdulKarim.html
MIqbalBinSaripan.html
MohdAmiruddinBinAbdRahman.html
IzaNurzawanibintiCheIsa.html
MohammadJohariBinIbahim.html
https___www.mdpi.com_2075-4426_11_10_978 https://www.mdpi.com/2075-4426/11/10/978
http___dx.doi.org_10.3390_jpm11100978 http://dx.doi.org/10.3390/jpm11100978
https___github.com_sitifairuz9609_TPOT-Automated-Machine-Learning-with-Radiomics-Features https://github.com/sitifairuz9609/TPOT-Automated-Machine-Learning-with-Radiomics-Features
Matsumoto:2023:EuroGP Faster Convergence with Lexicase Selection in Tree-based Automated Machine Learning
NicholasMatsumoto.html
AnilKumarSaini.html
PedroRibeiroMendesJunior.html
HyunjunChoi.html
AlenaOrlenko.html
Leo-PekkaLyytikainen.html
JariOLaurikka.html
TerhoLehtimaki.html
SandraBatista.html
JasonHMoore.html
https___rdcu.be_c8UUl https://rdcu.be/c8UUl
http___dx.doi.org_10.1007_978-3-031-29573-7_11 http://dx.doi.org/10.1007/978-3-031-29573-7_11
Matsumura:2016:SCIS Probabilistic Model-Based Multistep Crossover for Genetic Programming
KoheiMatsumura.html
YoshikoHanada.html
KeikoOno.html
http___dx.doi.org_10.1109_SCIS-ISIS.2016.0043 http://dx.doi.org/10.1109/SCIS-ISIS.2016.0043
Matsushita:2008:ijcnn Batch-Learning Self-Organizing Map with False-Neighbor Degree Between Neurons
HarunaMatsushita.html
YoshifumiNishio.html
http___dx.doi.org_10.1109_IJCNN.2008.4634110 http://dx.doi.org/10.1109/IJCNN.2008.4634110
matsuya:2002:SEAL Automatic Generation of Boolean Functions Using Genetic Network Programming
YukoMatsuya.html
KotaroHirasawa.html
JingluHu.html
JunichiMurata.html
http___www.worldcat.org_title_seal02-proceedings-of-the-4th-asia-pacific-conference-on-simulated-evolution-and-learning-november-18-22-2002-orchid-country-club-singapore_oclc_51951214 http://www.worldcat.org/title/seal02-proceedings-of-the-4th-asia-pacific-conference-on-simulated-evolution-and-learning-november-18-22-2002-orchid-country-club-singapore/oclc/51951214
journals/cea/MattarA17 Gene expression programming approach for modeling the hydraulic performance of labyrinth-channel emitters
MohamedAMattar.html
AhmedIAlamoud.html
http___dx.doi.org_10.1016_j.compag.2017.09.029 http://dx.doi.org/10.1016/j.compag.2017.09.029
mattar:NCaA GEP and MLR approaches for the prediction of reference evapotranspiration
MohamedAMattar.html
AAAlazba.html
http___link.springer.com_article_10.1007_s00521-018-3410-8 http://link.springer.com/article/10.1007/s00521-018-3410-8
http___dx.doi.org_10.1007_s00521-018-3410-8 http://dx.doi.org/10.1007/s00521-018-3410-8
Matthews:2006:AIEDAM Learning inexpensive parametric design models using an augmented genetic programming technique
PeterCMatthews.html
DavidWFStandingford.html
CarrenMEHolden.html
KenMWallace.html
http___dx.doi.org_10.10170S089006040606001X http://dx.doi.org/10.10170S089006040606001X
matthews:2001:idm The Ideas Machine
RobertMatthews.html
http___www.newscientist.com_article_mg16922744.000-the-ideas-machine.html http://www.newscientist.com/article/mg16922744.000-the-ideas-machine.html
Mattiussi2004-ID509 Measures of Diversity for Populations and Distances Between Individuals with Highly Reorganizable Genomes
ClaudioMattiussi.html
MarkusWaibel.html
DarioFloreano.html
http___asl.epfl.ch_aslInternalWeb_ASL_publications_uploadedFiles_MattiussiWaibelFloreano_MeasuresOfDiversity.pdfx http://asl.epfl.ch/aslInternalWeb/ASL/publications/uploadedFiles/MattiussiWaibelFloreano_MeasuresOfDiversity.pdfx
http___dx.doi.org_10.1162_1063656043138923 http://dx.doi.org/10.1162/1063656043138923
Mattiussi_2008_TEC Analog Genetic Encoding for the Evolution of Circuits and Networks
ClaudioMattiussi.html
DarioFloreano.html
http___dx.doi.org_10.1109_TEVC.2006.886801 http://dx.doi.org/10.1109/TEVC.2006.886801
Matveeva:2007:NAR Comparison of approaches for rational siRNA design leading to a new efficient and transparent method
OlgaMatveeva.html
YuryNechipurenko.html
LeoRossi.html
BarryMoore.html
PalSaetrom.html
AlekseyYOgurtsov.html
JohnFAtkins.html
SvetlanaAShabalina.html
http___dx.doi.org_10.1093_nar_gkm088 http://dx.doi.org/10.1093/nar/gkm088
Mauceri:GPEM Feature extraction by grammatical evolution for one‑class time series classification
StefanoMauceri.html
JamesSweeney.html
MiguelNicolau.html
JamesMcDermott.html
http___dx.doi.org_10.1007_s10710-021-09403-x http://dx.doi.org/10.1007/s10710-021-09403-x
mauch:2003:gecco Evolving Petri Nets with a Genetic Algorithm
HolgerMauch.html
http___dx.doi.org_10.1007_3-540-45110-2_76 http://dx.doi.org/10.1007/3-540-45110-2_76
Mausa:2017:SC Co-evolutionary multi-population genetic programming for classification in software defect prediction: An empirical case study
GoranMausa.html
TihanaGalinacGrbac.html
http___www.sciencedirect.com_science_article_pii_S1568494617300650 http://www.sciencedirect.com/science/article/pii/S1568494617300650
http___dx.doi.org_10.1016_j.asoc.2017.01.050 http://dx.doi.org/10.1016/j.asoc.2017.01.050
oai:CiteSeerPSU:451316 Preventing Early Convergence in Genetic Programming by Replacing Similar Programs
DylanMawhinney.html
http___www.cs.rmit.edu.au__vc_papers_mahwinney-hons.ps.gz http://www.cs.rmit.edu.au/~vc/papers/mahwinney-hons.ps.gz
http___citeseer.ist.psu.edu_451316.html http://citeseer.ist.psu.edu/451316.html
icec94:maxwell Experiments with a coroutine execution model for genetic programming
SidneyRMaxwellIII.html
http___ieeexplore.ieee.org_iel2_1125_8059_00349915.pdf_isNumber_8059 http://ieeexplore.ieee.org/iel2/1125/8059/00349915.pdf?isNumber=8059
http___dx.doi.org_10.1109_ICEC.1994.349915 http://dx.doi.org/10.1109/ICEC.1994.349915
maxwell:1996:why Why Might Some Problems Be Difficult for Genetic Programming to Find Solutions?
SidneyRMaxwellIII.html
may:1999:EECTHGP Evolution of Effective Communication Techniques for Hunting using Genetic Programming
DamonMay.html
Mayer:2005:AS Differential evolution - an easy and efficient evolutionary algorithm for model optimisation
DavidGMayer.html
BrianKinghorn.html
AAArcher.html
http___dx.doi.org_10.1016_j.agsy.2004.05.002 http://dx.doi.org/10.1016/j.agsy.2004.05.002
Mayfield:2010:gecco Using feature construction to avoid large feature spaces in text classification
ElijahMayfield.html
CarolynPensteinRose.html
http___dx.doi.org_10.1145_1830483.1830714 http://dx.doi.org/10.1145/1830483.1830714
Maynard:2018:CEC Estimating the Geological Properties in Oil Reservoirs through Multi-gene Genetic Programming
JeffMaynardGuillen.html
AlvaroTalaveraLopez.html
LeonardoAlfredoForeroMendoza.html
MarcoAurelioCavalcantiPacheco.html
http___dx.doi.org_10.1109_CEC.2018.8477910 http://dx.doi.org/10.1109/CEC.2018.8477910
MAYTZUC:2018:CILS Multivariate optimization of Pb(II) removal for clinoptilolite-rich tuffs using genetic programming: A computational approach
OscardeJesusMayTzuc.html
AliBassam.html
MohamedAbatal.html
YounessElHamzaoui.html
ATapia.html
http___dx.doi.org_10.1016_j.chemolab.2018.02.010 http://dx.doi.org/10.1016/j.chemolab.2018.02.010
http___www.sciencedirect.com_science_article_pii_S0169743917306044 http://www.sciencedirect.com/science/article/pii/S0169743917306044
MAYTZUC:2019:Measurement Multi-gene genetic programming for predicting the heat gain of flat naturally ventilated roof using data from outdoor environmental monitoring
OscardeJesusMayTzuc.html
IvanHernandez-Perez.html
EdgarVicenteMaciasMelo.html
AliBassam.html
JXaman.html
BraulioCruzJimenez.html
http___dx.doi.org_10.1016_j.measurement.2019.02.032 http://dx.doi.org/10.1016/j.measurement.2019.02.032
http___www.sciencedirect.com_science_article_pii_S0263224119301502 http://www.sciencedirect.com/science/article/pii/S0263224119301502
mazinani:2016:Entropy Estimation of Tsunami Bore Forces on a Coastal Bridge Using an Extreme Learning Machine
ImanMazinani.html
ZubaidahBintiIsmail.html
ShahaboddinShamshirband.html
AhmadMustafaHashim.html
MarjanMansourvar.html
ErfanZalnezhad.html
https___www.mdpi.com_1099-4300_18_5_167 https://www.mdpi.com/1099-4300/18/5/167
http___dx.doi.org_10.3390_e18050167 http://dx.doi.org/10.3390/e18050167
Mazouni:2014:IDC AGGE: A Novel Method to Automatically Generate Rule Induction Classifiers Using Grammatical Evolution
RomaissaaMazouni.html
AbdellatifRahmoun.html
http___dx.doi.org_10.1007_978-3-319-10422-5_30 http://dx.doi.org/10.1007/978-3-319-10422-5_30
Mazyad:2017:EA Learning new Term Weighting Schemes with Genetic Programming
AhmadMazyad.html
FabienTeytaud.html
CyrilFonlupt.html
https___hal.inria.fr_hal-01662138 https://hal.inria.fr/hal-01662138
https___hal.inria.fr_hal-01662138_document https://hal.inria.fr/hal-01662138/document
https___hal.inria.fr_hal-01662138_file_pg.pdf https://hal.inria.fr/hal-01662138/file/pg.pdf
Mazyad:2018:GECCOcomp Generating term weighting schemes through genetic programming
AhmadMazyad.html
FabienTeytaud.html
CyrilFonlupt.html
http___dx.doi.org_10.1145_3205651.3205799 http://dx.doi.org/10.1145/3205651.3205799
mazyad:tel-02010316 Contribution to automatic text classification : metrics and evolutionary algorithms
AhmadMazyad.html
https___tel.archives-ouvertes.fr_tel-02010316_file_These_Mazyad_Ahmad.pdf https://tel.archives-ouvertes.fr/tel-02010316/file/These_Mazyad_Ahmad.pdf
https___tel.archives-ouvertes.fr_tel-02010316 https://tel.archives-ouvertes.fr/tel-02010316
110008152437 GPU-assisted evolutive image predictor generation
MatthewMcCawley.html
SeishiTakamura.html
HirohisaJozawa.html
http___www.ieice.org_ken_paper_20101111b0co_eng_ http://www.ieice.org/ken/paper/20101111b0co/eng/
http___ci.nii.ac.jp_naid_110008152437_ http://ci.nii.ac.jp/naid/110008152437/
McClintock:2008:cec A Two-Tiered, Agent Based Approach for Autonomous, Evolutionary Texture Generation
JamesMcClintock.html
GaryGYen.html
http___dx.doi.org_10.1109_CEC.2008.4631234 http://dx.doi.org/10.1109/CEC.2008.4631234
McConaghy:1998:GPlsfpmpts Genetic Programming with Least Squares for Fast, Precise Modeling of Polynomial Time Series
TrentMcConaghy.html
HenryLeung.html
mcconaghy:2000:IECON Functional reconstruction of dynamical systems from time series using genetic programming
TrentMcConaghy.html
HenryLeung.html
VinayVaradan.html
http___dx.doi.org_10.1109_IECON.2000.972588 http://dx.doi.org/10.1109/IECON.2000.972588
mcconaghy:2005:DATE CAFFEINE: Template-Free Symbolic Model Generation of Analog Circuits via Canonical Form Functions and Genetic Programming
TrentMcConaghy.html
TomEeckelaert.html
GeorgesGEGielen.html
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mcconaghy:2005:GPTP Genetic Programming in Industrial Analog CAD: Applications and Challenges
TrentMcConaghy.html
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McConaghy_2005_iscas IBMG: Interpretable Behavioral Model Generator for Nonlinear Analog Circuits via Canonical Form Functions and Genetic Programming
TrentMcConaghy.html
GeorgesGEGielen.html
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McConaghy_2005_iscas_2 Analysis of Simulation-Driven Numerical Performance Modeling Techniques for Application to Analog Circuit Optimization
TrentMcConaghy.html
GeorgesGEGielen.html
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McConaghy:2006:DATE Double-Strength CAFFEINE: Fast Template-Free Symbolic Modeling of Analog Circuits via Implicit Canonical Form Functions and Explicit Introns
TrentMcConaghy.html
GeorgesGEGielen.html
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http___dx.doi.org_10.1109_DATE.2006.244136 http://dx.doi.org/10.1109/DATE.2006.244136
1144147 Canonical form functions as a simple means for genetic programming to evolve human-interpretable functions
TrentMcConaghy.html
GeorgesGEGielen.html
http___gpbib.cs.ucl.ac.uk_gecco2006_docs_p855.pdf http://gpbib.cs.ucl.ac.uk/gecco2006/docs/p855.pdf
http___dx.doi.org_10.1145_1143997.1144147 http://dx.doi.org/10.1145/1143997.1144147
Mcconaghy:2007:GPTP Genetic Programming with Reuse of Known Designs for Industrially Scalable, Novel Circuit Design
TrentMcConaghy.html
PieterPalmers.html
GeorgesGEGielen.html
MichielSteyaert.html
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http___dx.doi.org_10.1007_978-0-387-76308-8_10 http://dx.doi.org/10.1007/978-0-387-76308-8_10
McConaghy:2007:DAC Simultaneous Multi-Topology Multi-Objective Sizing Across Thousands of Analog Circuit Topologies
TrentMcConaghy.html
PieterPalmers.html
GeorgesGEGielen.html
MichielSteyaert.html
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Mcconaghy:2008:GPTP Automated Extraction of Expert Domain Knowledge from Genetic Programming Synthesis Results
TrentMcConaghy.html
PieterPalmers.html
GeorgesGEGielen.html
MichielSteyaert.html
http___dx.doi.org_10.1007_978-0-387-87623-8_8 http://dx.doi.org/10.1007/978-0-387-87623-8_8
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McConaghy:2008:ICCAD Automated extraction of expert knowledge in analog topology selection and sizing
TrentMcConaghy.html
PieterPalmers.html
GeorgesGEGielen.html
MichielSteyaert.html
http___trent.st_content_2008-ICCAD-cad_synthesis_insight.pdf http://trent.st/content/2008-ICCAD-cad_synthesis_insight.pdf
http___dx.doi.org_10.1109_ICCAD.2008.4681603 http://dx.doi.org/10.1109/ICCAD.2008.4681603
McConaghy:thesis Variation-aware structural synthesis and knowledge extraction of analog circuits
TrentMcConaghy.html
McConaghy:2009:GPTP Latent Variable Symbolic Regression for High-Dimensional Inputs
TrentMcConaghy.html
http___dx.doi.org_10.1007_978-1-4419-1626-6_7 http://dx.doi.org/10.1007/978-1-4419-1626-6_7
http___trent.st_content_2009-GPTP-caffeine_lvsr.pdf http://trent.st/content/2009-GPTP-caffeine_lvsr.pdf
McConaghy:2009:ieeeCADICS Template-Free Symbolic Performance Modeling of Analog Circuits via Canonical-Form Functions and Genetic Programming
TrentMcConaghy.html
GeorgesGEGielen.html
http___trent.st_content_2009-TCAD-caffeine_scale.pdf http://trent.st/content/2009-TCAD-caffeine_scale.pdf
http___dx.doi.org_10.1109_TCAD.2009.2021034 http://dx.doi.org/10.1109/TCAD.2009.2021034
McConaghy:2009:ieeeTCAD Variation-Aware Structural Synthesis of Analog Circuits via Hierarchical Building Blocks and Structural Homotopy
TrentMcConaghy.html
PieterPalmers.html
MichielSteyaert.html
GeorgesGEGielen.html
http___trent.st_content_2009-TCAD-robust_mojito.pdf http://trent.st/content/2009-TCAD-robust_mojito.pdf
http___dx.doi.org_10.1109_TCAD.2009.2023195 http://dx.doi.org/10.1109/TCAD.2009.2023195
McConaghy:2009:VAASS Variation-Aware Analog Structural Synthesis - A Computational Intelligence Approach
TrentMcConaghy.html
PieterPalmers.html
PengGao.html
MichielSteyaert.html
GeorgesGEGielen.html
http___dx.doi.org_10.1007_978-90-481-2906-5 http://dx.doi.org/10.1007/978-90-481-2906-5
McConaghy:2010:intro Genetic Programming Theory and Practice 2010: An Introduction
TrentMcConaghy.html
Ekaterina_Katya_Vladislavleva.html
RickLRiolo.html
http___www.springer.com_computer_ai_book_978-1-4419-7746-5 http://www.springer.com/computer/ai/book/978-1-4419-7746-5
http___trent.st_content_2010-GPTP-introduction.pdf http://trent.st/content/2010-GPTP-introduction.pdf
McConaghy:2010:GPTP Symbolic Density Models of One-in-a-Billion Statistical Tails via Importance Sampling and Genetic Programming
TrentMcConaghy.html
http___www.springer.com_computer_ai_book_978-1-4419-7746-5 http://www.springer.com/computer/ai/book/978-1-4419-7746-5
http___trent.st_content_2010-GPTP-tails.pdf http://trent.st/content/2010-GPTP-tails.pdf
http___dx.doi.org_10.1007_978-1-4419-7747-2_10 http://dx.doi.org/10.1007/978-1-4419-7747-2_10
McConaghy:2011:GPTP FFX: Fast, Scalable, Deterministic Symbolic Regression Technology
TrentMcConaghy.html
http___trent.st_content_2011-GPTP-FFX-paper.pdf http://trent.st/content/2011-GPTP-FFX-paper.pdf
http___dx.doi.org_10.1007_978-1-4614-1770-5_13 http://dx.doi.org/10.1007/978-1-4614-1770-5_13
http___www.trent.st_content_2011-GPTP-FFX-slides.pdf http://www.trent.st/content/2011-GPTP-FFX-slides.pdf
McConaghy:2011:CICC High-dimensional statistical modeling and analysis of custom integrated circuits
TrentMcConaghy.html
http___trent.st_content_2011-CICC-FFX-paper.pdf http://trent.st/content/2011-CICC-FFX-paper.pdf
http___trent.st_content_2011-CICC-FFX-slides.ppt http://trent.st/content/2011-CICC-FFX-slides.ppt
http___dx.doi.org_10.1109_CICC.2011.6055329 http://dx.doi.org/10.1109/CICC.2011.6055329
McConaghy:2012:ieeetec Trustworthy Genetic Programming-Based Synthesis of Analog Circuit Topologies Using Hierarchical Domain-Specific Building Blocks
TrentMcConaghy.html
PieterPalmers.html
MichielSteyaert.html
GeorgesGEGielen.html
http___trent.st_content_2011-TEVC-mojito-ea.pdf http://trent.st/content/2011-TEVC-mojito-ea.pdf
http___dx.doi.org_10.1109_TEVC.2010.2093581 http://dx.doi.org/10.1109/TEVC.2010.2093581
McCormack:evows05 Open Problems in Evolutionary Music and Art
JonMcCormack.html
http___www.csse.monash.edu.au__jonmc_research_Papers_OpenProblemsSV.pdf http://www.csse.monash.edu.au/~jonmc/research/Papers/OpenProblemsSV.pdf
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http___dx.doi.org_10.1007_978-3-540-32003-6_43 http://dx.doi.org/10.1007/978-3-540-32003-6_43
mccormack:2006:sigevo New Challenges for Evolutionary Music and Art
JonMcCormack.html
http___www.sigevolution.org_2006_01_issue.pdf http://www.sigevolution.org/2006/01/issue.pdf
McCormack:2022:GPEM Complexity and aesthetics in generative and evolutionary art
JonMcCormack.html
CamiloCruzGambardella.html
http___dx.doi.org_10.1007_s10710-022-09429-9 http://dx.doi.org/10.1007/s10710-022-09429-9
DBLP:journals/corr/abs-2109-12388 Automated Multi-domain Engineering Design through Linear Graph and Genetic Programming
EricMcCormick.html
HaoxiangLang.html
ClarenceWdeSilva.html
https___arxiv.org_abs_2109.12388 https://arxiv.org/abs/2109.12388
https___dblp.org_rec_journals_corr_abs-2109-12388.bib https://dblp.org/rec/journals/corr/abs-2109-12388.bib
DBLP:journals/cis/McCormickLS22 Automated Multi-Domain Engineering Design through linear graphs and Genetic Programming
EricMcCormick.html
HaoxiangLang.html
ClarenceWdeSilva.html
https___doi.org_10.2316_J.2022.201-0295 https://doi.org/10.2316/J.2022.201-0295
http___dx.doi.org_10.2316_J.2022.201-0295 http://dx.doi.org/10.2316/J.2022.201-0295
https___dblp.org_rec_journals_cis_McCormickLS22.bib https://dblp.org/rec/journals/cis/McCormickLS22.bib
mcdermott_oneill_brabazon:cec2010 Interactive Interpolating Crossover in Grammatical Evolution
JamesMcDermott.html
MichaelO'Neill.html
AnthonyBrabazon.html
http___dx.doi.org_10.1109_CEC.2010.5585937 http://dx.doi.org/10.1109/CEC.2010.5585937
mcdermott_etal:cec2010 Higher-Order Functions in Aesthetic EC Encodings
JamesMcDermott.html
JonathanByrne.html
JohnMarkSwafford.html
MichaelO'Neill.html
AnthonyBrabazon.html
http___dx.doi.org_10.1109_CEC.2010.5586077 http://dx.doi.org/10.1109/CEC.2010.5586077
mcdermott_etal:ppsn2010 A Fine-Grained View of GP Locality with Binary Decision Diagrams as Ant Phenotypes
JamesMcDermott.html
EdgarGalvanLopez.html
MichaelO'Neill.html
http___dx.doi.org_10.1007_978-3-642-15844-5_17 http://dx.doi.org/10.1007/978-3-642-15844-5_17
mcdermott:2011:EuroGP How Far Is It From Here to There? A Distance that is Coherent with GP Operators
JamesMcDermott.html
Una-MayO'Reilly.html
LeonardoVanneschi.html
KalyanVeeramachaneni.html
http___dx.doi.org_10.1007_978-3-642-20407-4_17 http://dx.doi.org/10.1007/978-3-642-20407-4_17
McDermott:2011:GPTP A Fine-Grained View of Phenotypes and Locality in Genetic Programming
JamesMcDermott.html
EdgarGalvanLopez.html
MichaelO'Neill.html
http___dx.doi.org_10.1007_978-1-4614-1770-5_4 http://dx.doi.org/10.1007/978-1-4614-1770-5_4
McDermott:2011:GECCO An executable graph representation for evolutionary generative music
JamesMcDermott.html
Una-MayO'Reilly.html
http___dx.doi.org_10.1145_2001576.2001632 http://dx.doi.org/10.1145/2001576.2001632
McDermott:2012:EvoMUSART Graph Grammars as a Representation for Interactive Evolutionary 3D Design
JamesMcDermott.html
http___dx.doi.org_10.1007_978-3-642-29142-5_18 http://dx.doi.org/10.1007/978-3-642-29142-5_18
McDermott:2012:GPTP FlexGP.py: Prototyping Flexibly-Scaled, Flexibly-Factored Genetic Programming for the Cloud
JamesMcDermott.html
KalyanVeeramachaneni.html
Una-MayO'Reilly.html
http___dx.doi.org_10.1007_978-1-4614-6846-2_14 http://dx.doi.org/10.1007/978-1-4614-6846-2_14
http___dx.doi.org_10.1007_978-1-4614-6846-2_14 http://dx.doi.org/10.1007/978-1-4614-6846-2_14
McDermott:2012:GECCO Genetic programming needs better benchmarks
JamesMcDermott.html
DavidRobertWhite.html
SeanLuke.html
LucaManzoni.html
MauroCastelli.html
LeonardoVanneschi.html
WojciechJaskowski.html
KrzysztofKrawiec.html
RobinHarper.html
KennethDeJong.html
Una-MayO'Reilly.html
http___gpbenchmarks.org_wp-content_uploads_2019_08_paper1.pdf http://gpbenchmarks.org/wp-content/uploads/2019/08/paper1.pdf
http___dx.doi.org_10.1145_2330163.2330273 http://dx.doi.org/10.1145/2330163.2330273
McDermottSHBHFMSO:2012:EPBAAoSRGfEAD An Assessment of String-Rewriting Grammars for Evolutionary Architectural Design
JamesMcDermott.html
JohnMarkSwafford.html
MartinHemberg.html
JonathanByrne.html
ErikHemberg.html
MichaelFenton.html
CiaranMcNally.html
ElizabethShotton.html
MichaelO'Neill.html
http___www.envplan.com_abstract.cgi_id_b38037 http://www.envplan.com/abstract.cgi?id=b38037
http___dx.doi.org_10.1068_b38037 http://dx.doi.org/10.1068/b38037
mcdermott:2013:EuroGP Program Optimisation with Dependency Injection
JamesMcDermott.html
PaulaCarroll.html
http___dx.doi.org_10.1007_978-3-642-37207-0_12 http://dx.doi.org/10.1007/978-3-642-37207-0_12
McDermott:2013:GPEM Graph grammars for evolutionary 3D design
JamesMcDermott.html
http___dx.doi.org_10.1007_s10710-013-9190-0 http://dx.doi.org/10.1007/s10710-013-9190-0
McDermott:2013:mHCI Evolutionary and Generative Music Informs Music HCI--And Vice Versa
JamesMcDermott.html
DylanSherry.html
Una-MayO'Reilly.html
http___dx.doi.org_10.1007_978-1-4471-2990-5_13 http://dx.doi.org/10.1007/978-1-4471-2990-5_13
http___dx.doi.org_10.1007_978-1-4471-2990-5_13 http://dx.doi.org/10.1007/978-1-4471-2990-5_13
mcdermott:2014:EuroGP Measuring Mutation Operators' Exploration-Exploitation Behaviour and Long-Term Biases
JamesMcDermott.html
http___dx.doi.org_10.1007_978-3-662-44303-3_9 http://dx.doi.org/10.1007/978-3-662-44303-3_9
mcdermott:evoapps14 Geometric Semantic Genetic Programming for Financial Data
JamesMcDermott.html
AlexandrosAgapitos.html
AnthonyBrabazon.html
MichaelO'Neill.html
http___dx.doi.org_10.1007_978-3-662-45523-4 http://dx.doi.org/10.1007/978-3-662-45523-4
McDermott:2014:sigevolution Visualising Evolutionary Search Spaces
JamesMcDermott.html
http___www.sigevolution.org_issues_SIGEVOlution0701.pdf http://www.sigevolution.org/issues/SIGEVOlution0701.pdf
http___dx.doi.org_10.1145_2661735.2661736 http://dx.doi.org/10.1145/2661735.2661736
https___github.com_jmmcd_GPDistance https://github.com/jmmcd/GPDistance
MCDERMOTT201641 Diagnosing a disorder in a classification benchmark
JamesMcDermott.html
RichardForsyth.html
https___www.sciencedirect.com_science_article_pii_S0167865516000088 https://www.sciencedirect.com/science/article/pii/S0167865516000088
http___dx.doi.org_10.1016_j.patrec.2016.01.004 http://dx.doi.org/10.1016/j.patrec.2016.01.004
McDermott:2017:GECCO Late-acceptance Hill-climbing with a Grammatical Program Representation
JamesMcDermott.html
MiguelNicolau.html
http___doi.acm.org_10.1145_3067695.3075984 http://doi.acm.org/10.1145/3067695.3075984
http___dx.doi.org_10.1145_3067695.3075984 http://dx.doi.org/10.1145/3067695.3075984
McDermott:2019:EuroGP Why is Auto-Encoding Difficult for Genetic Programming?
JamesMcDermott.html
https___www.springer.com_us_book_9783030166694 https://www.springer.com/us/book/9783030166694
http___dx.doi.org_10.1007_978-3-030-16670-0_9 http://dx.doi.org/10.1007/978-3-030-16670-0_9
McDermott:2020:SNCS When and Why Metaheuristics Researchers can Ignore ``No Free Lunch'' Theorems
JamesMcDermott.html
http___arxiv.org_abs_1906.03280 http://arxiv.org/abs/1906.03280
http___dx.doi.org_https___doi.org_10.1007_s42979-020-0063-3 http://dx.doi.org/https://doi.org/10.1007/s42979-020-0063-3
McDermott:2022:sigevolution Genetic Programming Benchmarks: Looking Back and Looking Forward
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GabrielKronberger.html
PatrykOrzechowski.html
LeonardoVanneschi.html
LucaManzoni.html
RomanTobiasKalkreuth.html
MauroCastelli.html
https___evolution.sigevo.org_issues_HTML_sigevolution-15-3_index.htm https://evolution.sigevo.org/issues/HTML/sigevolution-15-3/index.htm
http___dx.doi.org_10.1145_3578482.3578483 http://dx.doi.org/10.1145/3578482.3578483
DBLP:journals/ijseke/McGaughranZ09 Evolving More Representative Programs with Genetic Programming
DanielMcGaughran.html
MengjieZhang.html
http___dx.doi.org_10.1142_S021819400900409X http://dx.doi.org/10.1142/S021819400900409X
mcgee_etal:cec2010 The Syntax of Stock Selection: Grammatical Evolution of a Stock Picking Model
RichardMcGee.html
MichaelO'Neill.html
AnthonyBrabazon.html
http___dx.doi.org_10.1109_CEC.2010.5586001 http://dx.doi.org/10.1109/CEC.2010.5586001
McGhie:2020:SSCI GPCNN: Evolving Convolutional Neural Networks using Genetic Programming
AbigailMcGhie.html
BingXue.html
MengjieZhang.html
http___dx.doi.org_10.1109_SSCI47803.2020.9308390 http://dx.doi.org/10.1109/SSCI47803.2020.9308390
McGovern:2002:BB Monitoring of complex industrial bioprocesses for metabolite concentrations using modern spectroscopies and machine learning: Application to gibberellic acid production
AoifeCMcGovern.html
DavidIBroadhurst.html
JanetTaylor.html
NaheedKaderbhai.html
MichaelKWinson.html
DavidASmall.html
JemJRowland.html
DouglasBKell.html
RoystonGoodacre.html
http___dbkgroup.org_Papers_biotechnol_bioeng_78__527_.pdf http://dbkgroup.org/Papers/biotechnol_bioeng_78_(527).pdf
http___www3.interscience.wiley.com_cgi-bin_fulltext_93514395_PDFSTART http://www3.interscience.wiley.com/cgi-bin/fulltext/93514395/PDFSTART
http___dx.doi.org_10.1002_bit.10226 http://dx.doi.org/10.1002/bit.10226
Porter:2018:GI Experiments in Genetic Divergence for Emergent Systems
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AlexanderWild.html
BarryPorter.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_icse2018_gi2018_papers_Porter_2018_GI.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/icse2018/gi2018/papers/Porter_2018_GI.pdf
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http___dx.doi.org_10.1145_3194810.3194813 http://dx.doi.org/10.1145/3194810.3194813
McGregor:2005:GPEM Embracing Plagiarism: Theoretical, Biological and Empirical Justification for Copy Operators in Genetic Optimisation
SimonMcGregor.html
InmanHarvey.html
http___www.cogs.susx.ac.uk_users_inmanh_Plagiarism.pdf http://www.cogs.susx.ac.uk/users/inmanh/Plagiarism.pdf
http___dx.doi.org_10.1007_s10710-005-4804-9 http://dx.doi.org/10.1007/s10710-005-4804-9
mcintyre:gecco03lbp A Grammatical Evolution Multi-Classifier through Crowding
AndrewRMcIntyre.html
MalcolmHeywood.html
McIntyre:OMC:gecco2004 On Multi-class Classification by Way of Niching
AndrewRMcIntyre.html
MalcolmHeywood.html
http___users.cs.dal.ca__mheywood_X-files_Publications_andy-GECCO04.pdf http://users.cs.dal.ca/~mheywood/X-files/Publications/andy-GECCO04.pdf
http___dx.doi.org_10.1007_b98645 http://dx.doi.org/10.1007/b98645
McIntyre:2005:CEC Toward Co-Evolutionary Training of a Multi-Class Classifier
AndrewRMcIntyre.html
MalcolmHeywood.html
http___dx.doi.org_10.1109_CEC.2005.1554958 http://dx.doi.org/10.1109/CEC.2005.1554958
1144148 MOGE: GP classification problem decomposition using multi-objective optimization
AndrewRMcIntyre.html
MalcolmHeywood.html
http___gpbib.cs.ucl.ac.uk_gecco2006_docs_p863.pdf http://gpbib.cs.ucl.ac.uk/gecco2006/docs/p863.pdf
http___dx.doi.org_10.1145_1143997.1144148 http://dx.doi.org/10.1145/1143997.1144148
McIntyre:2007:SMC Multi-Objective Competitive Coevolution for Efficient GP Classifier Problem Decomposition
AndrewRMcIntyre.html
MalcolmHeywood.html
http___users.cs.dal.ca__mheywood_X-files_GradPubs.html http://users.cs.dal.ca/~mheywood/X-files/GradPubs.html
http___users.cs.dal.ca__mheywood_X-files_Publications_armcnty_SMC07.pdf http://users.cs.dal.ca/~mheywood/X-files/Publications/armcnty_SMC07.pdf
http___dx.doi.org_10.1109_ICSMC.2007.4414009 http://dx.doi.org/10.1109/ICSMC.2007.4414009
McIntyre:thesis Novelty Detection + Coevolution = Automatic Problem Decomposition: A Framework for Scalable Genetic Programming Classifiers
AndrewRMcIntyre.html
http___projectx25.cs.dal.ca_home_docs_armcintyre_phd_thesis_final.pdf http://projectx25.cs.dal.ca/home/docs/armcintyre_phd_thesis_final.pdf
conf/eurogp/McIntyreH08 Cooperative Problem Decomposition in Pareto Competitive Classifier Models of Coevolution
AndrewRMcIntyre.html
MalcolmHeywood.html
http___dx.doi.org_10.1007_978-3-540-78671-9_25 http://dx.doi.org/10.1007/978-3-540-78671-9_25
Mcintyre:2008:GPTP Pareto Cooperative-Competitive Genetic Programming: A Classification Benchmarking Study
AndrewRMcIntyre.html
MalcolmHeywood.html
http___dx.doi.org_10.1007_978-0-387-87623-8_4 http://dx.doi.org/10.1007/978-0-387-87623-8_4
McIntyre:2011:EC Classification as Clustering: A Pareto Cooperative-Competitive GP Approach
AndrewRMcIntyre.html
MalcolmHeywood.html
http___dx.doi.org_10.1162_EVCO_a_00016 http://dx.doi.org/10.1162/EVCO_a_00016
mckay:1995:tsgasr Using a Tree Structured Genetic Algorithm to Perform Symbolic Regression
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mckay:1995:cps On the Application of Genetic Programming to Chemical Process Systems
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mckay:1996:iipGP Identification of Industrial Processes using Genetic Programming
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mckay:1996:ssmcps Steady-state Modelling of Chemical Process System using Genetic Programming
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mckay:1999:NCRUGP Non-Linear Continuum Regression Using Genetic Programming
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Mckay:2000:TIMC Nonlinear continuum regression: an evolutionary approach
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McKay:2000:ECL Spatial Learning using Fitness-Shared Genetic Programming
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McKay:2000:GECCO Fitness Sharing in Genetic Programming
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McKay:2000:APCSEL Committee Learning of Partial Functions in Fitness-Shared Genetic Programming
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McKay:2000:jawies Partial Functions in Genetic Programming: Program Size and Evaluation Cost
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McKay:2001:EM Variants of genetic programming for species distribution modelling -- fitness sharing, partial functions, population evaluation
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McKay:2001:awai Complexity and Hierarchy in Natural and Artificial Systems
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McKay:2001:awal Evolving Self-Reproducing Functional Programs
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mckayabbass01:rtqrt Anticorrelation Measures in Genetic Programming
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McKay:2001:AJIIPS_1 An Investigation of Fitness Sharing in Genetic Programming
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McKay:2001:AJIIPS_2 Anti-correlation: A Diversity Promoting Mechanisms in Ensemble Learning
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McKay:2002:icccs Inspirations from Nature: Evolution and Complexity
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McKay:2003:apsies Machine Learning with Genetic Programming: Some Challenges
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McKay:2004:ISEI Model-Building with Interpolated Temporal Data
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McKay:2005:isica_keynote Using Human Speech Structures to Model Reality: Grammars in Genetic Programming
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McKay:2005:ISICA Grammars in Genetic Programming: A Brief Review
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eurogpMcKayHoangEssamNguyen: Developmental Evaluation in Genetic Programming: the Preliminary Results
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McKay:2006:EI Model-building with interpolated temporal data
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McKay:2006:apwgp A Research Introduction to Genetic Programming
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McKay:2007:isica Complexity in Genetic Programming: Using Entropy and Compression Metrics to Understand GP Behaviour
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McKay:2007:CEC Using Compression to Understand the Distribution of Building Blocks in Genetic Programming Populations
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McKay:2008:IJKBIES Genetic Programming: An emerging engineering tool
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McKay20081464 Evolutionary Algorithms
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http___dx.doi.org_10.1016_B978-008045405-4.00157-9 http://dx.doi.org/10.1016/B978-008045405-4.00157-9
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DBLP:conf/gecco/McKayNCKMH09 Estimating the distribution and propagation of genetic programming building blocks through tree compression
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JamesRCheney.html
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http___dx.doi.org_10.1145_1569901.1570038 http://dx.doi.org/10.1145/1569901.1570038
McKay:2010:GPEM Grammar-based Genetic Programming: a survey
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YinShan.html
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McKee:2002:EJOR Genetic programming and rough sets: A hybrid approach to bankruptcy classification
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McKenney:2012:SC Stock trading strategy creation using GP on GPU
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mcmilin:2000:AIDSA Adaptation of Internet Data Sending Algorithm
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McMinn:2016:SBST Automated Search for Good Coverage Criteria: Moving from Code Coverage to Fault Coverage through Search-Based Software Engineering
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http___dx.doi.org_10.1109_SBST.2016.017 http://dx.doi.org/10.1109/SBST.2016.017
McMullin:2010:gecco Constant versus variable arity operators in genetic programming
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http___dx.doi.org_10.1145_1830483.1830663 http://dx.doi.org/10.1145/1830483.1830663
McNamara2009670 Integrating function and mechanism
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http___dx.doi.org_10.1016_j.tree.2009.05.011 http://dx.doi.org/10.1016/j.tree.2009.05.011
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mcnutt:1997:crrc Using Co-Evolution to Produce Robust Robot Control
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mcnutt:1997:crrcLB Using Co-Evolution to Produce Robust Control
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McPhee:1995:acrep Accurate Replication in Genetic Programming
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mcphee:1998:itetpGP Impact of types on essentially typeless problems in GP
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mcphee:1998:sutherland Sutherland: An extensible object-oriented software framework for evolutionary computation
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mcphee:1999:A Analysis of genetic diversity through population history
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mcphee:1999:AAASRG AppGP: An Alternative Structural Representation for GP
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McPhee00-22 A schema theory analysis of the evolution of size in genetic programming with linear representations
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McPhee00-24 A schema theory analysis of mutation size biases in genetic programming with linear representations
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JonathanERowe.html
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mcphee:2001:EuroGP A schema theory analysis of the evolution of size in genetic programming with linear representations
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mcphee:2001:astamsbgplr A Schema Theory Analysis of Mutation Size Biases in Genetic Programming with Linear Representations
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mcphee:2002:CSM Using schema theory to explore interactions of multiple operators
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mcphee:2002:gecco Using Schema Theory To Explore Interactions Of Multiple Operators
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mcphee:ots:gecco2004 On the Strength of Size Limits in Linear Genetic Programming
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AlexJarvis.html
ElleryFussellCrane.html
http___dx.doi.org_10.1007_b98645 http://dx.doi.org/10.1007/b98645
mcphee:2007:wps32 Semantic Building Blocks in Genetic Programming
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BrianOhs.html
TylerHutchison.html
http___www.morris.umn.edu_academic_fclt_Working_20Papers_Morris_WP_3.2.pdf http://www.morris.umn.edu/academic/fclt/Working%20Papers/Morris_WP_3.2.pdf
conf/eurogp/McPheeOH08 Semantic Building Blocks in Genetic Programming
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BrianOhs.html
TylerHutchison.html
http___dx.doi.org_10.1007_978-3-540-78671-9_12 http://dx.doi.org/10.1007/978-3-540-78671-9_12
McPhee:2008:gecco Memory with memory: Soft assignment in Genetic Programming
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RiccardoPoli.html
http___gpbib.cs.ucl.ac.uk_gecco2008_docs_p1235.pdf http://gpbib.cs.ucl.ac.uk/gecco2008/docs/p1235.pdf
http___dx.doi.org_10.1145_1389095.1389336 http://dx.doi.org/10.1145/1389095.1389336
mcphee:2009:gecco Developmental plasticity in linear genetic programming
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ElleryFussellCrane.html
SaraELahr.html
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http___dx.doi.org_10.1145_1569901.1570039 http://dx.doi.org/10.1145/1569901.1570039
McPhee:2010:GPTP Foreword
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McPhee:2015:GPTP Using Graph Databases to Explore Genetic Programming Run Dynamics
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DavidDonatucci.html
ThomasHelmuth.html
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http___dx.doi.org_10.1007_978-3-319-34223-8_11 http://dx.doi.org/10.1007/978-3-319-34223-8_11
McPhee:2015:GECCO Impact of Crossover Bias in Genetic Programming
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MKirbieDramdahl.html
DavidDonatucci.html
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McPhee:2016:GPTP A detailed analysis of a PushGP run
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MitchellFinzel.html
MaggieMCasale.html
ThomasHelmuth.html
LeeSpector.html
https___www.springer.com_us_book_9783319970875 https://www.springer.com/us/book/9783319970875
http___dx.doi.org_10.1007_978-3-319-97088-2_5 http://dx.doi.org/10.1007/978-3-319-97088-2_5
McPhee:2016:GECCOcomp Visualizing Genetic Programming Ancestries
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MaggieMCasale.html
MitchellFinzel.html
ThomasHelmuth.html
LeeSpector.html
http___dx.doi.org_10.1145_2908961.2931741 http://dx.doi.org/10.1145/2908961.2931741
McPhee:2017:GECCO Visualizing Genetic Programming Ancestries Using Graph Databases
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MaggieMCasale.html
MitchellFinzel.html
ThomasHelmuth.html
LeeSpector.html
http___doi.acm.org_10.1145_3067695.3075617 http://doi.acm.org/10.1145/3067695.3075617
http___dx.doi.org_10.1145_3067695.3075617 http://dx.doi.org/10.1145/3067695.3075617
McPhee:2017:GECCOa Using Algorithm Configuration Tools to Optimize Genetic Programming Parameters: A Case Study
NicholasFreitagMcPhee.html
ThomasHelmuth.html
LeeSpector.html
http___doi.acm.org_10.1145_3067695.3076097 http://doi.acm.org/10.1145/3067695.3076097
http___dx.doi.org_10.1145_3067695.3076097 http://dx.doi.org/10.1145/3067695.3076097
mcphee_2020_gpem GP+EM 20 Anniversary Editorial
NicholasFreitagMcPhee.html
WilliamBLangdon.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_mcphee_2020_gpem.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/mcphee_2020_gpem.pdf
https___rdcu.be_dz2rI https://rdcu.be/dz2rI
http___dx.doi.org_10.1007_s10710-020-09386-1 http://dx.doi.org/10.1007/s10710-020-09386-1
McPhee:2021:GPTP Dynamically generating GP training cases using QuickCheck
NicholasFreitagMcPhee.html
ErikRauer.html
McPhee:2023:GPTP The Impact of Step Limits on Generalization and Stability in Software Synthesis
NicholasFreitagMcPhee.html
RichardLussier.html
http___dx.doi.org_10.1007_978-981-99-8413-8_5 http://dx.doi.org/10.1007/978-981-99-8413-8_5
McRee:2010:geccocomp Symbolic regression using nearest neighbor indexing
RandallKMcRee.html
http___dx.doi.org_10.1145_1830761.1830841 http://dx.doi.org/10.1145/1830761.1830841
medeiros:2019:BCBE Mouse Control Interface Using Electrooculogram and Genetic Programming
RomeuMedeiros.html
AnaClaudiaSSouza.html
GustavoFRodrigues.html
http___link.springer.com_chapter_10.1007_978-981-13-2517-5_51 http://link.springer.com/chapter/10.1007/978-981-13-2517-5_51
http___dx.doi.org_10.1007_978-981-13-2517-5_51 http://dx.doi.org/10.1007/978-981-13-2517-5_51
Medernach:2013:GECCO Long-term evolutionary dynamics in heterogeneous cellular automata
DavidMedernach.html
TarasKowaliw.html
ConorRyan.html
ReneDoursat.html
http___dx.doi.org_10.1145_2463372.2463395 http://dx.doi.org/10.1145/2463372.2463395
Medernach:2015:GECCOcomp Wave: Incremental Erosion of Residual Error
DavidMedernach.html
JeannieFitzgerald.html
RMuhammadAtifAzad.html
ConorRyan.html
http___doi.acm.org_10.1145_2739482.2768503 http://doi.acm.org/10.1145/2739482.2768503
http___dx.doi.org_10.1145_2739482.2768503 http://dx.doi.org/10.1145/2739482.2768503
Medernach:2015:GECCOcompa Wave: A Genetic Programming Approach to Divide and Conquer
DavidMedernach.html
JeannieFitzgerald.html
RMuhammadAtifAzad.html
ConorRyan.html
http___doi.acm.org_10.1145_2739482.2764659 http://doi.acm.org/10.1145/2739482.2764659
http___dx.doi.org_10.1145_2739482.2764659 http://dx.doi.org/10.1145/2739482.2764659
Medernach:2016:GECCO A New Wave: A Dynamic Approach to Genetic Programming
DavidMedernach.html
JeannieFitzgerald.html
RMuhammadAtifAzad.html
ConorRyan.html
http___dx.doi.org_10.1145_2908812.2908857 http://dx.doi.org/10.1145/2908812.2908857
Medernach:thesis Comparative study of effects of fitness landscape changes in open-ended evolutionary simulations and in Genetic Programming
DavidMedernach.html
https___ulir.ul.ie_bitstream_handle_10344_6103_Medernach_2017_comparative.pdf https://ulir.ul.ie/bitstream/handle/10344/6103/Medernach_2017_comparative.pdf
http___hdl.handle.net_10344_6103 http://hdl.handle.net/10344/6103
Mediero:2012:NHESS Improving probabilistic flood forecasting through a data assimilation scheme based on genetic programming
LuisJesusMedieroOrduna.html
LuisMariaGarroteDeMarcos.html
AdriadnadelSocorroChavezJimenez.html
http___www.nat-hazards-earth-syst-sci.net_12_3719_2012_nhess-12-3719-2012.pdf http://www.nat-hazards-earth-syst-sci.net/12/3719/2012/nhess-12-3719-2012.pdf
http___dx.doi.org_10.5194_nhess-12-3719-2012 http://dx.doi.org/10.5194/nhess-12-3719-2012
Medjdoub:2011:GPEM Paul Coates: Programming architecture, Routlegde, 187 pp, ISBN: 978-0-415-45188-8
BenachirMedjdoub.html
http___dx.doi.org_10.1007_s10710-011-9146-1 http://dx.doi.org/10.1007/s10710-011-9146-1
Medland:2014:NaBIC Demonstrating the Power of Object-Oriented Genetic Programming via the Inference of Graph Models for Complex Networks
MichaelMedland.html
KyleRobertHarrison.html
BeatriceOmbuki-Berman.html
http___dx.doi.org_10.1109_NaBIC.2014.6921896 http://dx.doi.org/10.1109/NaBIC.2014.6921896
Medland:2014:GECCOcomp Incorporating expert knowledge in object-oriented genetic programming
MichaelMedland.html
KyleRobertHarrison.html
BeatriceOmbuki-Berman.html
http___doi.acm.org_10.1145_2598394.2598494 http://doi.acm.org/10.1145/2598394.2598494
http___dx.doi.org_10.1145_2598394.2598494 http://dx.doi.org/10.1145/2598394.2598494
Medland:2016:CEC Automatic Inference of Graph Models for Directed Complex Networks using Genetic Programming
MichaelMedland.html
KyleRobertHarrison.html
BeatriceOmbuki-Berman.html
http___dx.doi.org_10.1109_CEC.2016.7744077 http://dx.doi.org/10.1109/CEC.2016.7744077
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EricMedvet.html
CyrilFillon.html
AlbertoBartoli.html
http___dx.doi.org_10.1109_IAS.2007.13 http://dx.doi.org/10.1109/IAS.2007.13
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EricMedvet.html
http___dx.doi.org_10.1007_978-3-319-55696-3_21 http://dx.doi.org/10.1007/978-3-319-55696-3_21
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EricMedvet.html
AlbertoBartoli.html
JacopoTalamini.html
http___dx.doi.org_10.1007_978-3-319-55792-2_12 http://dx.doi.org/10.1007/978-3-319-55792-2_12
Medvet:2017:GECCO Hierarchical Grammatical Evolution
EricMedvet.html
http___doi.acm.org_10.1145_3067695.3075972 http://doi.acm.org/10.1145/3067695.3075972
http___dx.doi.org_10.1145_3067695.3075972 http://dx.doi.org/10.1145/3067695.3075972
Medvet:2017:GECCOa Evolvability in Grammatical Evolution
EricMedvet.html
FabioDaolio.html
DannyTagliapietra.html
http___doi.acm.org_10.1145_3071178.3071298 http://doi.acm.org/10.1145/3071178.3071298
http___dx.doi.org_10.1145_3071178.3071298 http://dx.doi.org/10.1145/3071178.3071298
Medvet:2017:GECCOb An Effective Diversity Promotion Mechanism in Grammatical Evolution
EricMedvet.html
AlbertoBartoli.html
GiovanniSquillero.html
http___doi.acm.org_10.1145_3067695.3076057 http://doi.acm.org/10.1145/3067695.3076057
http___dx.doi.org_10.1145_3067695.3076057 http://dx.doi.org/10.1145/3067695.3076057
Medvet:2017:GECCOc The DU Map: A Visualization to Gain Insights into Genotype-phenotype Mapping and Diversity
EricMedvet.html
TeaTusar.html
http___doi.acm.org_10.1145_3067695.3082554 http://doi.acm.org/10.1145/3067695.3082554
http___dx.doi.org_10.1145_3067695.3082554 http://dx.doi.org/10.1145/3067695.3082554
Medvet:2018:EuroGP On the Automatic Design of a Representation for Grammar-based Genetic Programming
EricMedvet.html
AlbertoBartoli.html
http___www.human-competitive.org_sites_default_files_medvet-paper.pdf http://www.human-competitive.org/sites/default/files/medvet-paper.pdf
http___dx.doi.org_10.1007_978-3-319-77553-1_7 http://dx.doi.org/10.1007/978-3-319-77553-1_7
Medvet:2018:GECCOcomp Exploring the application of GOMEA to bit-string GE
EricMedvet.html
AlbertoBartoli.html
AndreaDeLorenzo.html
http___dx.doi.org_10.1145_3205651.3205765 http://dx.doi.org/10.1145/3205651.3205765
Medvet:2018:PPSN GOMGE: Gene-pool Optimal Mixing on Grammatical Evolution
EricMedvet.html
AlbertoBartoli.html
AndreaDeLorenzo.html
FabianoTarlao.html
https___www.springer.com_gp_book_9783319992587 https://www.springer.com/gp/book/9783319992587
http___dx.doi.org_10.1007_978-3-319-99253-2_18 http://dx.doi.org/10.1007/978-3-319-99253-2_18
Medvet:2018:GPEM Unveiling evolutionary algorithm representation with DU maps
EricMedvet.html
MarcoVirgolin.html
MauroCastelli.html
PeterANBosman.html
IvoGoncalves.html
TeaTusar.html
https___doi.org_10.1007_s10710-018-9332-5 https://doi.org/10.1007/s10710-018-9332-5
http___dx.doi.org_10.1007_s10710-018-9332-5 http://dx.doi.org/10.1007/s10710-018-9332-5
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EricMedvet.html
AlbertoBartoli.html
AndreaDeLorenzo.html
FabianoTarlao.html
https___sites.google.com_site_machinelearningts_publications_international-journal-publications_designingautomaticallyarepresentationforgrammaticalevolution_2018-GENP-AutomaticRepresentationDesign.pdf https://sites.google.com/site/machinelearningts/publications/international-journal-publications/designingautomaticallyarepresentationforgrammaticalevolution/2018-GENP-AutomaticRepresentationDesign.pdf
http___dx.doi.org_10.1007_s10710-018-9327-2 http://dx.doi.org/10.1007/s10710-018-9327-2
Medvet:2022:GP EuroGP 2022: Proceedings of the 25th European Conference on Genetic Programming
EricMedvet.html
GiseleLPappa.html
BingXue.html
http___dx.doi.org_10.1007_978-3-031-02056-8 http://dx.doi.org/10.1007/978-3-031-02056-8
Medvet:2023:GPTP GP for Continuous Control: Teacher or Learner? The Case of Simulated Modular Soft Robots
EricMedvet.html
GiorgiaNadizar.html
http___dx.doi.org_10.1007_978-981-99-8413-8_11 http://dx.doi.org/10.1007/978-981-99-8413-8_11
Meeden:2015:GPEM Angelo Cangelosi and Matthew Schlesinger: Developmental robotics MIT Press, 2015
LisaAMeeden.html
http___dx.doi.org_10.1007_s10710-015-9246-4 http://dx.doi.org/10.1007/s10710-015-9246-4
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KlausMeffert.html
http___www.javamagazin.de_itr_ausgaben_psecom_id_206_nodeid_20.html http://www.javamagazin.de/itr/ausgaben/psecom,id,206,nodeid,20.html
http___www.klaus-meffert.de_download_genetische_algorithmen_mit_java.pdf http://www.klaus-meffert.de/download/genetische_algorithmen_mit_java.pdf
Meffert:2005:JM Genetische Programmierung: leistungsfahiges Verfahren zur Problemlosung
KlausMeffert.html
http___www.javamagazin.de_itr_ausgaben_psecom_id_259_nodeid_20.html http://www.javamagazin.de/itr/ausgaben/psecom,id,259,nodeid,20.html
http___www.klaus-meffert.de_download_genetische_programmierung_mit_java.pdf http://www.klaus-meffert.de/download/genetische_programmierung_mit_java.pdf
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JessicaMegane.html
NunoLourenco.html
PenousalMachado.html
http___dx.doi.org_10.1007_978-3-030-72812-0_13 http://dx.doi.org/10.1007/978-3-030-72812-0_13
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JessicaMegane.html
NunoLourenco.html
PenousalMachado.html
https___arxiv.org_abs_2204.08985 https://arxiv.org/abs/2204.08985
http___dx.doi.org_10.1145_3512290.3528833 http://dx.doi.org/10.1145/3512290.3528833
https___vimeo.com_723973418 https://vimeo.com/723973418
https___github.com_jessicamegane_co-psge https://github.com/jessicamegane/co-psge
Megane:2022:CEC Probabilistic Structured Grammatical Evolution
JessicaMegane.html
NunoLourenco.html
PenousalMachado.html
http___dx.doi.org_10.1109_CEC55065.2022.9870397 http://dx.doi.org/10.1109/CEC55065.2022.9870397
megane:2023:GECCOcomp The Influence of Probabilistic Grammars on Evolution
JessicaMegane.html
NunoLourenco.html
PenousalMachado.html
DirkSchweim.html
http___dx.doi.org_10.1145_3583133.3590706 http://dx.doi.org/10.1145/3583133.3590706
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JessicaMegane.html
EricMedvet.html
NunoLourenco.html
PenousalMachado.html
http___dx.doi.org_10.1007_978-3-031-56957-9_4 http://dx.doi.org/10.1007/978-3-031-56957-9_4
Mehdizadeh:2018:WRM.Jan New Approaches for Estimation of Monthly Rainfall Based on GEP-ARCH and ANN-ARCH Hybrid Models
SaeidMehdizadeh.html
JavadBehmanesh.html
KeivanKhalili.html
http___link.springer.com_10.1007_s11269-017-1825-0 http://link.springer.com/10.1007/s11269-017-1825-0
http___dx.doi.org_10.1007_s11269-017-1825-0 http://dx.doi.org/10.1007/s11269-017-1825-0
mehdizadeh:2018:WRM A Comparative Study of Autoregressive, Autoregressive Moving Average, Gene Expression Programming and Bayesian Networks for Estimating Monthly Streamflow
SaeidMehdizadeh.html
AliKozekalaniSales.html
http___link.springer.com_article_10.1007_s11269-018-1970-0 http://link.springer.com/article/10.1007/s11269-018-1970-0
http___dx.doi.org_10.1007_s11269-018-1970-0 http://dx.doi.org/10.1007/s11269-018-1970-0
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BenMehne.html
HiroakiYoshida.html
MukulRPrasad.html
KoushikSen.html
DivyaGopinath.html
SarfrazKhurshid.html
https___people.eecs.berkeley.edu__ksen_papers_repair.pdf https://people.eecs.berkeley.edu/~ksen/papers/repair.pdf
http___dx.doi.org_10.1109_ICST.2018.00031 http://dx.doi.org/10.1109/ICST.2018.00031
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JornMehnen.html
ThomasMichelitsch.html
KlausWeinert.html
http___dx.doi.org_10.1007_3-540-36599-0_35 http://dx.doi.org/10.1007/3-540-36599-0_35
mehr:2018:ICAFS A Genetic Programming Approach to Forecast Daily Electricity Demand
AliDanandehMehr.html
FarzanehBagheri.html
RifatResatoglu.html
http___hdl.handle.net_20.500.12566_61 http://hdl.handle.net/20.500.12566/61
http___link.springer.com_chapter_10.1007_978-3-030-04164-9_41 http://link.springer.com/chapter/10.1007/978-3-030-04164-9_41
http___dx.doi.org_10.1007_978-3-030-04164-9_41 http://dx.doi.org/10.1007/978-3-030-04164-9_41
mehr:2019:EMA Multiple genetic programming: a new approach to improve genetic-based month ahead rainfall forecasts
AliDanandehMehr.html
MirJafarSadeghSafari.html
http___link.springer.com_article_10.1007_s10661-019-7991-1 http://link.springer.com/article/10.1007/s10661-019-7991-1
http___dx.doi.org_10.1007_s10661-019-7991-1 http://dx.doi.org/10.1007/s10661-019-7991-1
mehr:2020:SNas An ensemble genetic programming model for seasonal precipitation forecasting
AliDanandehMehr.html
http___link.springer.com_article_10.1007_s42452-020-03625-x http://link.springer.com/article/10.1007/s42452-020-03625-x
http___dx.doi.org_10.1007_s42452-020-03625-x http://dx.doi.org/10.1007/s42452-020-03625-x
MEHR:2021:IS MSGP-LASSO: An improved multi-stage genetic programming model for streamflow prediction
AliDanandehMehr.html
AHGandomi.html
https___www.sciencedirect.com_science_article_pii_S0020025521001456 https://www.sciencedirect.com/science/article/pii/S0020025521001456
http___dx.doi.org_10.1016_j.ins.2021.02.011 http://dx.doi.org/10.1016/j.ins.2021.02.011
mehr:2021:TAC Seasonal rainfall hindcasting using ensemble multi-stage genetic programming
AliDanandehMehr.html
http___link.springer.com_article_10.1007_s00704-020-03438-3 http://link.springer.com/article/10.1007/s00704-020-03438-3
http___dx.doi.org_10.1007_s00704-020-03438-3 http://dx.doi.org/10.1007/s00704-020-03438-3
Mehrmand:2010:AISEW A factorial experiment on scalability of search based software testing
ArashMehrmand.html
RobertFeldt.html
http___sweng.csd.auth.gr__aisew2010_Feldt.pdf http://sweng.csd.auth.gr/~aisew2010/Feldt.pdf
http___arxiv.org_abs_1101.2301 http://arxiv.org/abs/1101.2301
Mehta:2023:HTC Optimization of Bioelectrochemical Systems with Power of Artificial Intelligence
JimilMehta.html
MTShah.html
http___dx.doi.org_10.1109_R10-HTC57504.2023.10461898 http://dx.doi.org/10.1109/R10-HTC57504.2023.10461898
Mei:2015:CEC Heuristic Evolution with Genetic Programming for Traveling Thief Problem
YiMei.html
XiaodongLi.html
FloraSalim.html
XinYao.html
http___homepages.ecs.vuw.ac.nz__yimei_Papers_CEC2015-MeiLiSalimYao.pdf http://homepages.ecs.vuw.ac.nz/~yimei/Papers/CEC2015-MeiLiSalimYao.pdf
http___dx.doi.org_10.1109_CEC.2015.7257230 http://dx.doi.org/10.1109/CEC.2015.7257230
Mei:2016:GECCO Feature Selection in Evolving Job Shop Dispatching Rules with Genetic Programming
YiMei.html
MengjieZhang.html
SuNguyen.html
http___dx.doi.org_10.1145_2908812.2908822 http://dx.doi.org/10.1145/2908812.2908822
Mei:2016:CEC A Comprehensive Analysis on Reusability of GP-Evolved Job Shop Dispatching Rules
YiMei.html
MengjieZhang.html
http___dx.doi.org_10.1109_CEC.2016.7744244 http://dx.doi.org/10.1109/CEC.2016.7744244
Mei:2017:EuroGP Evolving Time-Invariant Dispatching Rules in Job Shop Scheduling with Genetic Programming
YiMei.html
SuNguyen.html
MengjieZhang.html
http___dx.doi.org_10.1007_978-3-319-55696-3_10 http://dx.doi.org/10.1007/978-3-319-55696-3_10
Mei:2017:ieeeETCI An Efficient Feature Selection Algorithm for Evolving Job Shop Scheduling Rules With Genetic Programming
YiMei.html
SuNguyen.html
BingXue.html
MengjieZhang.html
http___dx.doi.org_10.1109_TETCI.2017.2743758 http://dx.doi.org/10.1109/TETCI.2017.2743758
conf/seal/MeiNZ17 Constrained Dimensionally Aware Genetic Programming for Evolving Interpretable Dispatching Rules in Dynamic Job Shop Scheduling
YiMei.html
SuNguyen.html
MengjieZhang.html
https___homepages.ecs.vuw.ac.nz__yimei_papers_SEAL17-MeiSuZhang.pdf https://homepages.ecs.vuw.ac.nz/~yimei/papers/SEAL17-MeiSuZhang.pdf
http___dx.doi.org_10.1007_978-3-319-68759-9_36 http://dx.doi.org/10.1007/978-3-319-68759-9_36
Mei:2018:CEC Genetic Programming Hyper-heuristic for Stochastic Team Orienteering Problem with Time Windows
YiMei.html
MengjieZhang.html
http___dx.doi.org_10.1109_CEC.2018.8477983 http://dx.doi.org/10.1109/CEC.2018.8477983
Mei:2018:GECCOcomp Genetic programming hyper-heuristic for multi-vehicle uncertain capacitated arc routing problem
YiMei.html
MengjieZhang.html
http___dx.doi.org_10.1145_3205651.3205661 http://dx.doi.org/10.1145/3205651.3205661
mei:2021:ADMLSA Knowledge Transfer in Genetic Programming Hyper-heuristics
YiMei.html
MazharAnsariArdeh.html
MengjieZhang.html
http___link.springer.com_chapter_10.1007_978-3-030-72069-8_9 http://link.springer.com/chapter/10.1007/978-3-030-72069-8_9
http___dx.doi.org_10.1007_978-3-030-72069-8_9 http://dx.doi.org/10.1007/978-3-030-72069-8_9
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YiMei.html
QiChen.html
AndrewLensen.html
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MengjieZhang.html
http___dx.doi.org_10.1109_TEVC.2022.3225509 http://dx.doi.org/10.1109/TEVC.2022.3225509
Meier:2013:GECCO Accelerating convergence in cartesian genetic programming by using a new genetic operator
AndreasMeier.html
MarkGonter.html
RudolfKruse.html
http___dx.doi.org_10.1145_2463372.2463481 http://dx.doi.org/10.1145/2463372.2463481
mejia-zuluaga:2022:Remote_Sensing Genetic Programming Approach for the Detection of Mistletoe Based on UAV Multispectral Imagery in the Conservation Area of Mexico City
PaolaAndreaMejia-Zuluaga.html
LeonDozal.html
JuanCValdiviezo-N.html
https___www.mdpi.com_2072-4292_14_3_801 https://www.mdpi.com/2072-4292/14/3/801
http___dx.doi.org_10.3390_rs14030801 http://dx.doi.org/10.3390/rs14030801
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PaolaAndreaMejia-Zuluaga.html
LeonFelipeDozal-Garcia.html
JuanCarlosValdiviezo-Navarro.html
http___link.springer.com_chapter_10.1007_978-3-030-98096-2_9 http://link.springer.com/chapter/10.1007/978-3-030-98096-2_9
http___dx.doi.org_10.1007_978-3-030-98096-2_9 http://dx.doi.org/10.1007/978-3-030-98096-2_9
Meli:2016:CSOC SPAM Detection: Naive Bayesian Classification and RPN Expression-Based LGP Approaches Compared
ClydeMeli.html
ZuzanaOplatkova.html
http___dx.doi.org_10.1007_978-3-319-33622-0_36 http://dx.doi.org/10.1007/978-3-319-33622-0_36
meli:2019:RASC Spam Detection Using Linear Genetic Programming
ClydeMeli.html
VitezslavNezval.html
ZuzanaOplatkova.html
VictorButtigieg.html
http___link.springer.com_chapter_10.1007_978-3-319-97888-8_7 http://link.springer.com/chapter/10.1007/978-3-319-97888-8_7
http___dx.doi.org_10.1007_978-3-319-97888-8_7 http://dx.doi.org/10.1007/978-3-319-97888-8_7
melin:2003:CINC Evolution of Modular Neural Networks Using a Hierarchical Genetic Algorithm Approach
PatriciaMelin.html
OscarCastilloLopez.html
Melo-Neto:2018:CEC Hybridization of Cartesian Genetic Programming and Differential Evolution for Generating Classifiers based on Neural Networks
JohnathanMaykeMeloNeto.html
HederSoaresBernardino.html
HelioJCBarbosa.html
http___dx.doi.org_10.1109_CEC.2018.8477906 http://dx.doi.org/10.1109/CEC.2018.8477906
Melo-Neto:2019:CEC On the Impact of the Objective Function on Imbalanced Data using Cartesian Genetic Programming Neuroevolutionary Approaches
JohnathanMaykeMeloNeto.html
HederSoaresBernardino.html
HelioJCBarbosa.html
http___dx.doi.org_10.1109_CEC.2019.8789947 http://dx.doi.org/10.1109/CEC.2019.8789947
melvin:2004:otagp On the automaticity of genetic programming
NMelvin.html
RSoricone.html
JWaslo.html
http___csdl.computer.org_comp_proceedings_conielecomp_2004_2074_00_20740236abs.htm http://csdl.computer.org/comp/proceedings/conielecomp/2004/2074/00/20740236abs.htm
http___dx.doi.org_10.1109_ICECC.2004.1269579 http://dx.doi.org/10.1109/ICECC.2004.1269579
Menaka:2014:ICCCI Mammogram classification using Extreme Learning Machine and Genetic Programming
KMenaka.html
SKarpagavalli.html
http___dx.doi.org_10.1109_ICCCI.2014.6921724 http://dx.doi.org/10.1109/ICCCI.2014.6921724
conf/seal/MendesSV10 PID Step Response Using Genetic Programming
MarcusHSMendes.html
GustavoLSoares.html
JoaoAntoniodeVasconcelos.html
http___dx.doi.org_10.1007_978-3-642-17298-4 http://dx.doi.org/10.1007/978-3-642-17298-4
http___dx.doi.org_10.1007_978-3-642-17298-4_37 http://dx.doi.org/10.1007/978-3-642-17298-4_37
Mendes:2001:PKDD Discovering Fuzzy Classification Rules with Genetic Programming and Co-Evolution
RobertoRFMendes.html
FabriciodeBVoznika.html
AlexAlvesFreitas.html
JulioCesarNievola.html
https___www.cs.kent.ac.uk_people_staff_aaf_pubs.html https://www.cs.kent.ac.uk/people/staff/aaf/pubs.html
http___www.cs.kent.ac.uk_people_staff_aaf_pub_papers.dir_PKDD-2001.ps http://www.cs.kent.ac.uk/people/staff/aaf/pub_papers.dir/PKDD-2001.ps
http___citeseer.ist.psu.edu_521000.html http://citeseer.ist.psu.edu/521000.html
http___dx.doi.org_10.1007_3-540-44794-6_26 http://dx.doi.org/10.1007/3-540-44794-6_26
mendes:2001:gecco Discovering Fuzzy Classification Rules with Genetic Programming and Co-Evolution
RobertoRFMendes.html
FabriciodeBVoznika.html
JulioCesarNievola.html
AlexAlvesFreitas.html
http___gpbib.cs.ucl.ac.uk_gecco2001_d02.pdf http://gpbib.cs.ucl.ac.uk/gecco2001/d02.pdf
mendes:2001:dfcrgpc Discovering Fuzzy Classification Rules with Genetic Programming and Co-Evolution
RobertoRFMendes.html
FabriciodeBVoznika.html
JulioCesarNievola.html
AlexAlvesFreitas.html
Mendes:2013:IEEEMagnetics Appraisal of Surrogate Modeling Techniques: A Case Study of Electromagnetic Device
MarcusHSMendes.html
GustavoLSoares.html
Jean-LouisCoulomb.html
JoaoAntoniodeVasconcelos.html
http___dx.doi.org_10.1109_TMAG.2013.2241401 http://dx.doi.org/10.1109/TMAG.2013.2241401
Mendes:2013:IEEEMagnetics2 A Surrogate Genetic Programming Based Model to Facilitate Robust Multi-Objective Optimization: A Case Study in Magnetostatics
MarcusHSMendes.html
GustavoLSoares.html
Jean-LouisCoulomb.html
JoaoAntoniodeVasconcelos.html
http___dx.doi.org_10.1109_TMAG.2013.2238615 http://dx.doi.org/10.1109/TMAG.2013.2238615
Mendigoria:2021:HNICEM Optimization of Vacuum Drying Properties for Chlorococcum infusionum Microalgae Moisture Content Using Hybrid Genetic Programming and Genetic Algorithm
ChristanHailMendigoria.html
RonnieSConcepcionII.html
RyanRhayPVicerra.html
AndresPhilipMayol.html
AlvinCulaba.html
ElmerJosePDadios.html
ArgelABandala.html
http___dx.doi.org_10.1109_HNICEM54116.2021.9732016 http://dx.doi.org/10.1109/HNICEM54116.2021.9732016
Mendigoria:2021:TENCON In Situ Indirect Measurement of Nitrate Concentration in Outdoor Tilapia Fishpond Based on Physico-limnological Sensors
ChristanHailMendigoria.html
RonnieSConcepcionII.html
ArgelABandala.html
ElmerJosePDadios.html
OliverJohnYAlajas.html
HeinrickLAquino.html
RyanRhayPVicerra.html
JoelCuello.html
http___dx.doi.org_10.1109_TENCON54134.2021.9707207 http://dx.doi.org/10.1109/TENCON54134.2021.9707207
Mendigoria:2022:HNICEM In Situ Indirect Detection of Phosphate Concentration from Aquaculture Water Using Physico-limnological Sensor-Based Feed-Forward Neural Network
ChristanHailMendigoria.html
RonnieSConcepcionII.html
MariaGemelBPalconit.html
HeinrickLAquino.html
OliverJohnYAlajas.html
ElmerJosePDadios.html
ArgelABandala.html
http___dx.doi.org_10.1109_HNICEM57413.2022.10109612 http://dx.doi.org/10.1109/HNICEM57413.2022.10109612
Mendonca-de-Paiva:2020:Energies Multiple Site Intraday Solar Irradiance Forecasting by Machine Learning Algorithms: MGGP and MLP Neural Networks
GabrielMendoncadePaiva.html
SergioPiresPimentel.html
BernardoPinheiroAlvarenga.html
EnesGoncalvesMarra.html
MarcoMussetta.html
SoniaLeva.html
https___www.mdpi.com_1996-1073_13_11_3005 https://www.mdpi.com/1996-1073/13/11/3005
http___dx.doi.org_10.3390_en13113005 http://dx.doi.org/10.3390/en13113005
Mendyk:2015:CMMM From Heuristic to Mathematical Modeling of Drugs Dissolution Profiles: Application of Artificial Neural Networks and Genetic Programming
AleksanderMendyk.html
SinanGures.html
RenataJachowicz.html
JakubSzlek.html
SebastianPolak.html
BarbaraWisniowska.html
PeterKleinebudde.html
http___www.ncbi.nlm.nih.gov_pmc_articles_PMC4460208_ http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4460208/
http___www.ncbi.nlm.nih.gov_pubmed_26101544 http://www.ncbi.nlm.nih.gov/pubmed/26101544
http___dx.doi.org_10.1155_2015_863874 http://dx.doi.org/10.1155/2015/863874
http___downloads.hindawi.com_journals_cmmm_2015_863874.pdf http://downloads.hindawi.com/journals/cmmm/2015/863874.pdf
meneguzzi:2018:PRIMA Sensor Placement for Plan Monitoring Using Genetic Programming
FelipeMeneguzzi.html
RamonFragaPereira.html
NirOren.html
http___link.springer.com_chapter_10.1007_978-3-030-03098-8_40 http://link.springer.com/chapter/10.1007/978-3-030-03098-8_40
http___dx.doi.org_10.1007_978-3-030-03098-8_40 http://dx.doi.org/10.1007/978-3-030-03098-8_40
Menezes:2008:ECCS Artificial Brains as Networks of Computational Building Blocks
TelmoMenezes.html
ErnestoCosta.html
http___www.jeruccs2008.org_files_tmenezes_eccs08.pdf http://www.jeruccs2008.org/files/tmenezes_eccs08.pdf
Telmo_Menezes_PhD_Thesis Evolutionary Computational Intelligence for Multi-Agent Simulations
TelmoMenezes.html
http___telmomenezes.com_resources_Telmo_Menezes_PhD_Thesis.pdf http://telmomenezes.com/resources/Telmo_Menezes_PhD_Thesis.pdf
https___old.cisuc.uc.pt_publication_show_2458 https://old.cisuc.uc.pt/publication/show/2458
http___hdl.handle.net_10316_9904 http://hdl.handle.net/10316/9904
Menezes:2011:EMoaBN Evolutionary Modeling of a Blog Network
TelmoMenezes.html
http___dx.doi.org_10.1109_CEC.2011.5949715 http://dx.doi.org/10.1109/CEC.2011.5949715
Menezes:2014:SR Symbolic regression of generative network models
TelmoMenezes.html
CamilleRoth.html
http___www.telmomenezes.com_2014_09_using-evolutionary-computation-to-explain-network-growth_ http://www.telmomenezes.com/2014/09/using-evolutionary-computation-to-explain-network-growth/
http___www.nature.com_srep_2014_140905_srep06284_full_srep06284.html http://www.nature.com/srep/2014/140905/srep06284/full/srep06284.html
http___dx.doi.org_10.1038_srep06284 http://dx.doi.org/10.1038/srep06284
Menezes:2017:DOOCN Automatic Discovery of Families of Network Generative Processes
TelmoMenezes.html
CamilleRoth.html
https___arxiv.org_abs_1906.12332 https://arxiv.org/abs/1906.12332
https___hal.archives-ouvertes.fr_hal-02165035 https://hal.archives-ouvertes.fr/hal-02165035
https___hal.archives-ouvertes.fr_hal-02165035_document https://hal.archives-ouvertes.fr/hal-02165035/document
https___hal.archives-ouvertes.fr_hal-02165035_file_Automatic_Discovery_of_Families_of_Network_Generative_Processes__HAL_.pdf https://hal.archives-ouvertes.fr/hal-02165035/file/Automatic_Discovery_of_Families_of_Network_Generative_Processes__HAL_.pdf
http___dx.doi.org_10.1007_978-3-030-14683-2_4 http://dx.doi.org/10.1007/978-3-030-14683-2_4
Meng:2023:jBO Mapping variation of extracellular matrix in human keloid scar by label-free multiphoton imaging and machine learning
JiaMeng.html
GuangxingWang.html
LingxiZhou.html
ShenyiJiang.html
ShuhaoQian.html
LingmeiChen.html
ChunchengWang.html
RushanJiang.html
ChenYang.html
BoNiu.html
YijieLiu.html
ZhihuaDing.html
ShuangmuZhuo.html
ZhiyiLiu.html
http___dx.doi.org_10.1117_1.JBO.28.4.045001 http://dx.doi.org/10.1117/1.JBO.28.4.045001
Meng:2010:ICCDA Method of plant texture image recognition based on genetic programming
LameiMeng.html
Ya-MinLi.html
Huan-rongZhu.html
http___dx.doi.org_10.1109_ICCDA.2010.5540845 http://dx.doi.org/10.1109/ICCDA.2010.5540845
Meng:2010:cec Guiding the evolution of Genetic Network Programming with reinforcement learning
QingBiaoMeng.html
ShingoMabu.html
YuWang.html
KotaroHirasawa.html
http___dx.doi.org_10.1109_CEC.2010.5586398 http://dx.doi.org/10.1109/CEC.2010.5586398
mengshoel:1998:ecbn Evolutionary Computation in Bayesian Networks
OleJMengshoel.html
Menolascina:2007:CIBCB Novel Data Mining Techniques in aCGH based Breast Cancer Subtypes Profiling: the Biological Perspective
FilippoMenolascina.html
STommasi.html
AParadiso.html
MCortellino.html
VitoantonioBevilacqua.html
GMastronardi.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.628.4889 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.628.4889
http___s3.amazonaws.com_publicationslist.org_data_bevilacqua_ref-30_cibcib.pdf http://s3.amazonaws.com/publicationslist.org/data/bevilacqua/ref-30/cibcib.pdf
http___dx.doi.org_10.1109_CIBCB.2007.4221198 http://dx.doi.org/10.1109/CIBCB.2007.4221198
PNAS-2009-Menon-16829-34 A state-mutating genetic algorithm to design ion-channel models
VilasMenon.html
NelsonSpruston.html
WilliamLKath.html
http___www.pnas.org_content_106_39_16829.abstract http://www.pnas.org/content/106/39/16829.abstract
http___www.pnas.org_content_106_39_16829.full.pdf http://www.pnas.org/content/106/39/16829.full.pdf
http___dx.doi.org_10.1073_pnas.0903766106 http://dx.doi.org/10.1073/pnas.0903766106
http___www.pnas.org_cgi_content_full_0903766106_DCSupplemental http://www.pnas.org/cgi/content/full/0903766106/DCSupplemental
Meqdad:2022:IEEEAccess Meta Structural Learning Algorithm With Interpretable Convolutional Neural Networks for Arrhythmia Detection of Multisession ECG
MaythamNMeqdad.html
FardinAbdali-Mohammadi.html
SeifedineKadry.html
http___dx.doi.org_10.1109_ACCESS.2022.3181727 http://dx.doi.org/10.1109/ACCESS.2022.3181727
meqdad:2022:Mathematics A New 12-Lead ECG Signals Fusion Method Using Evolutionary CNN Trees for Arrhythmia Detection
MaythamNMeqdad.html
FardinAbdali-Mohammadi.html
SeifedineKadry.html
https___www.mdpi.com_2227-7390_10_11_1911 https://www.mdpi.com/2227-7390/10/11/1911
http___dx.doi.org_10.3390_math10111911 http://dx.doi.org/10.3390/math10111911
mercure:2001:AIChE Empirical Emulators for First Principle Models
PeterKipMercure.html
GuidoFSmits.html
ArthurKKordon.html
meredith:2002:SMIRPGP Solving the Material Interface Reconstruction Problem using Genetic Programming
JeremyMeredith.html
http___www.genetic-programming.org_sp2002_Meredith.pdf http://www.genetic-programming.org/sp2002/Meredith.pdf
Merezhnikov:2021:PCS Multi-objective closed-form algebraic expressions discovery approach application to the synthetic time-series generation
MarkMerezhnikov.html
AlexanderAHvatov.html
https___www.human-competitive.org_sites_default_files_entry_1.txt https://www.human-competitive.org/sites/default/files/entry_1.txt
https___www.human-competitive.org_sites_default_files_multi-objective_closed-form_algebraic_expressions_discovery_approach_application_to_the_synthetic_time-series_generation.pdf https://www.human-competitive.org/sites/default/files/multi-objective_closed-form_algebraic_expressions_discovery_approach_application_to_the_synthetic_time-series_generation.pdf
https___www.sciencedirect.com_science_article_pii_S1877050921020706 https://www.sciencedirect.com/science/article/pii/S1877050921020706
http___dx.doi.org_10.1016_j.procs.2021.10.029 http://dx.doi.org/10.1016/j.procs.2021.10.029
MERKURYEVA:2019:procs Demand forecasting in pharmaceutical supply chains: A case study
GalinaMerkurjeva.html
AijaValberga.html
AlexanderVSmirnov.html
http___dx.doi.org_10.1016_j.procs.2019.01.100 http://dx.doi.org/10.1016/j.procs.2019.01.100
http___www.sciencedirect.com_science_article_pii_S1877050919301061 http://www.sciencedirect.com/science/article/pii/S1877050919301061
Mermerdas:2013:CBM Experimental evaluation and modeling of drying shrinkage behavior of metakaolin and calcined kaolin blended concretes
KasimMermerdas.html
ErhanGuneyisi.html
MehmetGesoglu.html
TuranOzturan.html
http___dx.doi.org_10.1016_j.conbuildmat.2013.02.047 http://dx.doi.org/10.1016/j.conbuildmat.2013.02.047
http___www.sciencedirect.com_science_article_pii_S0950061813001761 http://www.sciencedirect.com/science/article/pii/S0950061813001761
Mernik:2004:Informatica Grammar-Based Systems: Definition and Examples
MarjanMernik.html
MatejCrepinsek.html
TomazKosar.html
DamijanRebernak.html
ViljemZumer.html
http___www.informatica.si_PDF_Informatica_2004_3.pdf http://www.informatica.si/PDF/Informatica_2004_3.pdf
merta:2019:CSMMMIS Lifetime Adaptation in Genetic Programming for the Symbolic Regression
JanMerta.html
TomasBrandejsky.html
http___link.springer.com_chapter_10.1007_978-3-030-31362-3_33 http://link.springer.com/chapter/10.1007/978-3-030-31362-3_33
http___dx.doi.org_10.1007_978-3-030-31362-3_33 http://dx.doi.org/10.1007/978-3-030-31362-3_33
Merta:2022:NNW Two-layer genetic programming
JanMerta.html
TomasBrandejsky.html
http___nnw.cz_obsahy22.html http://nnw.cz/obsahy22.html
http___nnw.cz_doi_2022_NNW.2022.32.013.pdf http://nnw.cz/doi/2022/NNW.2022.32.013.pdf
http___dx.doi.org_10.14311_nnw.2022.32.013 http://dx.doi.org/10.14311/nnw.2022.32.013
Mertan:2024:EuroGP Investigating Premature Convergence in Co-optimization of Morphology and Control in Evolved Virtual Soft Robots
AlicanMertan.html
NickCheney.html
http___dx.doi.org_10.1007_978-3-031-56957-9_3 http://dx.doi.org/10.1007/978-3-031-56957-9_3
Merugu:2012:IJARCET Effort estimation of software project
RRajaRameshMerugu.html
VenkatRaviKumarDammu.html
http___ijarcet.org_wp-content_uploads_IJARCET-VOL-1-ISSUE-10-33-41.pdf http://ijarcet.org/wp-content/uploads/IJARCET-VOL-1-ISSUE-10-33-41.pdf
http___ijarcet.org__p_1249 http://ijarcet.org/?p=1249
journals/corr/abs-1801-06030 Multi-measures fusion based on multi-objective genetic programming for full-reference image quality assessment
NaimaMerzougui.html
LeilaDjerou.html
http___arxiv.org_abs_1801.06030 http://arxiv.org/abs/1801.06030
Mesecan:2021:GI CRNRepair: Automated Program Repair of Chemical Reaction Networks
IbrahimMesecan.html
MichaelCGerten.html
JamesILathrop.html
MyraBCohen.html
TomasHaddadCaldas.html
https___github.com_LavaOps_CRNRepair_ https://github.com/LavaOps/CRNRepair/
https___geneticimprovementofsoftware.com_paper_pdfs_gi2021icse_mesecan_gi-icse_2021.pdf https://geneticimprovementofsoftware.com/paper_pdfs/gi2021icse/mesecan_gi-icse_2021.pdf
https___www.youtube.com_watch_v_SjNsbERd6e0_list_PLI8fiFpB7BoKDaxvS7SQp0iA7fN7rrvDD_index_15 https://www.youtube.com/watch?v=SjNsbERd6e0&list=PLI8fiFpB7BoKDaxvS7SQp0iA7fN7rrvDD&index=15
https___www.youtube.com_watch_v_AtwAfPwdfJ4_list_PLI8fiFpB7BoKDaxvS7SQp0iA7fN7rrvDD_index_16 https://www.youtube.com/watch?v=AtwAfPwdfJ4&list=PLI8fiFpB7BoKDaxvS7SQp0iA7fN7rrvDD&index=16
https___www.youtube.com_watch_v_YD-JfwQOEiY_list_PLXTjhGKkSnI-se7uQneCX-pEDiDrQ7TIS_index_3 https://www.youtube.com/watch?v=YD-JfwQOEiY&list=PLXTjhGKkSnI-se7uQneCX-pEDiDrQ7TIS&index=3
http___dx.doi.org_10.1109_GI52543.2021.00014 http://dx.doi.org/10.1109/GI52543.2021.00014
Clark:2021:ASE-NIER HyperGI: Automated Detection and Repair of Information Flow Leakage
IbrahimMesecan.html
DanielBlackwell.html
DavidClark.html
MyraBCohen.html
JustynaPetke.html
https___arxiv.org_abs_2108.12075 https://arxiv.org/abs/2108.12075
https___faculty.sites.iastate.edu_mcohen_files_inline-files_hyper-gi-2021.pdf https://faculty.sites.iastate.edu/mcohen/files/inline-files/hyper-gi-2021.pdf
https___discovery.ucl.ac.uk_id_eprint_10136860_ https://discovery.ucl.ac.uk/id/eprint/10136860/
http___dx.doi.org_10.1109_ASE51524.2021.9678758 http://dx.doi.org/10.1109/ASE51524.2021.9678758
Mesecan:2022:ASE Keeping Secrets: Multi-objective Genetic Improvement forDetecting and Reducing Information Leakage
IbrahimMesecan.html
DanielBlackwell.html
DavidClark.html
MyraBCohen.html
JustynaPetke.html
https___discovery.ucl.ac.uk_id_eprint_10152572_1_main.pdf https://discovery.ucl.ac.uk/id/eprint/10152572/1/main.pdf
http___dx.doi.org_10.1145_3551349.3556947 http://dx.doi.org/10.1145/3551349.3556947
https___github.com_anonymous183459_LeakReducer_ https://github.com/anonymous183459/LeakReducer/
Meshgi:2014:HIC Predicting Baseflow Using Genetic Programing
AliMeshgi.html
PetraSchmitter.html
VladanBabovic.html
TingFongMayChui.html
http___www.hic2014.org_proceedings_bitstream_handle_123456789_1589_1153.pdf http://www.hic2014.org/proceedings/bitstream/handle/123456789/1589/1153.pdf
Meshgi:2014:JH An empirical method for approximating stream baseflow time series using groundwater table fluctuations
AliMeshgi.html
PetraSchmitter.html
VladanBabovic.html
TingFongMayChui.html
http___dx.doi.org_10.1016_j.jhydrol.2014.08.033 http://dx.doi.org/10.1016/j.jhydrol.2014.08.033
http___www.sciencedirect.com_science_article_pii_S002216941400643X http://www.sciencedirect.com/science/article/pii/S002216941400643X
Ali_Meshgi_PhD_Thesis Rainfall-Runoff Processes in Tropical Urban Environments
AliMeshgi.html
http___scholarbank.nus.edu.sg_handle_10635_119829 http://scholarbank.nus.edu.sg/handle/10635/119829
Meshgi:2015:JH Development of a modular streamflow model to quantify runoff contributions from different land uses in tropical urban environments using Genetic Programming
AliMeshgi.html
PetraSchmitter.html
TingFongMayChui.html
VladanBabovic.html
http___dx.doi.org_10.1016_j.jhydrol.2015.04.032 http://dx.doi.org/10.1016/j.jhydrol.2015.04.032
http___www.sciencedirect.com_science_article_pii_S0022169415002917 http://www.sciencedirect.com/science/article/pii/S0022169415002917
DBLP:conf/icarcv/MessomW02 Evolving cooperative robotic behaviour using distributed genetic programming
ChrisMessom.html
MatthewWalker.html
http___www.massey.ac.nz__chmessom_MessomWalkerICARCV2002.pdf http://www.massey.ac.nz/~chmessom/MessomWalkerICARCV2002.pdf
http___dx.doi.org_10.1109_ICARCV.2002.1234823 http://dx.doi.org/10.1109/ICARCV.2002.1234823
Metenidis:2004:EAAI A novel genetic programming approach to nonlinear system modelling: application to the DAMADICS benchmark problem
MihaiFlorinMetenidis.html
MarcinWitczak.html
JozefKorbicz.html
http___dx.doi.org_10.1016_j.engappai.2004.04.009 http://dx.doi.org/10.1016/j.engappai.2004.04.009
metevier:2018:GPTP Lexicase Selection Beyond Genetic Programming
BlossomMetevier.html
AnilKumarSaini.html
LeeSpector.html
http___link.springer.com_chapter_10.1007_978-3-030-04735-1_7 http://link.springer.com/chapter/10.1007/978-3-030-04735-1_7
http___dx.doi.org_10.1007_978-3-030-04735-1_7 http://dx.doi.org/10.1007/978-3-030-04735-1_7
Mettler:2021:GECCOcomp Evolving Neuronal Plasticity Rules using Cartesian Genetic Programming
HenrikDMettler.html
MaximilianSchmidt.html
WalterSenn.html
MihaiAPetrovici.html
JakobJordan.html
http___dx.doi.org_10.1145_3449726.3459420 http://dx.doi.org/10.1145/3449726.3459420
meulen:2001:msc PM-DGP A Distributed Genetic Programming Framework
PGMvanderMeulen.html
http___heanet.dl.sourceforge.net_sourceforge_pmdgp_pmdgp-thesis.pdf http://heanet.dl.sourceforge.net/sourceforge/pmdgp/pmdgp-thesis.pdf
Meuth:2010:geccocomp Meta-learning genetic programming
RyanJMeuth.html
http___dx.doi.org_10.1145_1830761.1830882 http://dx.doi.org/10.1145/1830761.1830882
Meyer:thesis Understanding the performance of decision strategies in dynamic environments
GeorgMeyer.html
http___hdl.handle.net_11299_138310 http://hdl.handle.net/11299/138310
http___purl.umn.edu_138310 http://purl.umn.edu/138310
http___conservancy.umn.edu_bitstream_handle_11299_138310_Meyer_umn_0130E_13096.pdf http://conservancy.umn.edu/bitstream/handle/11299/138310/Meyer_umn_0130E_13096.pdf
meyer:2001:pourlascience La robotique evolutionniste
Jean-ArcadyMeyer.html
AgnesGuillot.html
http___www.pourlascience.fr_ewb_pages_a_article-la-robotique-evolutionniste-27347.php http://www.pourlascience.fr/ewb_pages/a/article-la-robotique-evolutionniste-27347.php
ML03 Evolutionary Design of BRDFs
JennisMeyer-Spradow.html
JornLoviscach.html
http___viscg.uni-muenster.de_publications_2003_ML03_evolutionary_web.pdf http://viscg.uni-muenster.de/publications/2003/ML03/evolutionary_web.pdf
meysenburg:1999:RGQGP Random Generator Quality and GP Performance
MarkMMeysenburg.html
JamesAFoster.html
http___citeseer.ist.psu.edu_471279.html http://citeseer.ist.psu.edu/471279.html
http___gpbib.cs.ucl.ac.uk_gecco1999_GP-416.pdf http://gpbib.cs.ucl.ac.uk/gecco1999/GP-416.pdf
http___gpbib.cs.ucl.ac.uk_gecco1999_GP-416.ps http://gpbib.cs.ucl.ac.uk/gecco1999/GP-416.ps
meysenburg:2000:TG The computational complexity of simple GA problems
MarkMMeysenburg.html
Meza-Sanchez:2018:COMRob Bounding Velocity in Tracking Control of Unicycle Mobile Robots with Genetic Programming
MarlenMeza-Sanchez.html
EClemente.html
RVillalvazo.html
GustavoOlague.html
http___dx.doi.org_10.1109_COMROB.2018.8689409 http://dx.doi.org/10.1109/COMROB.2018.8689409
Meza-Sanchez:2019:IS Synthetic-analytic behavior-based control framework: Constraining velocity in tracking for nonholonomic wheeled mobile robots
MarlenMeza-Sanchez.html
EddieHelbertClementeTorres.html
MariadelCarmenRodriguez-Linan.html
GustavoOlague.html
https___www.human-competitive.org_sites_default_files_meza-sanchez_0.txt https://www.human-competitive.org/sites/default/files/meza-sanchez_0.txt
https___www.human-competitive.org_sites_default_files_synthetic-analytic_behavior-based_control_framework_constraining_velocity_in_tracking_for_nonholonomic_wheeled_mobile_robots_1.pdf https://www.human-competitive.org/sites/default/files/synthetic-analytic_behavior-based_control_framework_constraining_velocity_in_tracking_for_nonholonomic_wheeled_mobile_robots_1.pdf
http___www.sciencedirect.com_science_article_pii_S0020025519305602 http://www.sciencedirect.com/science/article/pii/S0020025519305602
http___dx.doi.org_10.1016_j.ins.2019.06.025 http://dx.doi.org/10.1016/j.ins.2019.06.025
http___www.human-competitive.org_sites_default_files_meza-sanchezvideo.mp4 http://www.human-competitive.org/sites/default/files/meza-sanchezvideo.mp4
Meza-Sanchez:IETcta Family of controllers based on sector non-linear functions: an application for first-order dynamical systems
MarlenMeza-Sanchez.html
MariadelCarmenRodriguez-Linan.html
EddieHelbertClementeTorres.html
https___www.human-competitive.org_sites_default_files_meza-sanchez_0.txt https://www.human-competitive.org/sites/default/files/meza-sanchez_0.txt
https___www.human-competitive.org_sites_default_files_family_of_controllers_based_on_sector_nonlinear_functions-an_application_for_first_order_dynamical_systems_1.pdf https://www.human-competitive.org/sites/default/files/family_of_controllers_based_on_sector_nonlinear_functions-an_application_for_first_order_dynamical_systems_1.pdf
https___digital-library.theiet.org_content_journals_10.1049_iet-cta.2019.0680 https://digital-library.theiet.org/content/journals/10.1049/iet-cta.2019.0680
http___dx.doi.org_10.1049_iet-cta.2019.0680 http://dx.doi.org/10.1049/iet-cta.2019.0680
Meza-Sanchez:2023:GPEM Evolutionary design of swing-up controllers for stabilization task of underactuated inverted pendulums
MarlenMeza-Sanchez.html
MariadelCarmenRodriguez-Linan.html
EddieHelbertClementeTorres.html
LeonardoHerrera.html
https___rdcu.be_dhxHk https://rdcu.be/dhxHk
http___dx.doi.org_10.1007_s10710-023-09457-z http://dx.doi.org/10.1007/s10710-023-09457-z
Mezher:2011:IJCIE Genetic Folding: Analyzing the Mercer's Kernels Effect in Support Vector Machine using Genetic Folding
MohdAMezher.html
MaysamFAbbod.html
https___publications.waset.org_vol_51 https://publications.waset.org/vol/51
https___publications.waset.org_pdf_5807 https://publications.waset.org/pdf/5807
https___publications.waset.org_5807_pdf https://publications.waset.org/5807/pdf
mhaya:2022:Materials Systematic Evaluation of Permeability of Concrete Incorporating Coconut Shell as Replacement of Fine Aggregate
AkramMMhaya.html
HassanAmerAlgaifi.html
ShahironShahidan.html
SharifahSalwaMohdZuki.html
MohamadAzimMohammadAzmi.html
MohdHazimanWanIbrahim.html
GhasanFahimHuseien.html
https___www.mdpi.com_1996-1944_15_22_7944 https://www.mdpi.com/1996-1944/15/22/7944
http___dx.doi.org_10.3390_ma15227944 http://dx.doi.org/10.3390/ma15227944
mi:2018:ICONIP Multi-Dimensional Optical Flow Embedded Genetic Programming for Anomaly Detection in Crowded Scenes
ZeyuMi.html
LinShang.html
BingXue.html
http___link.springer.com_chapter_10.1007_978-3-030-04179-3_43 http://link.springer.com/chapter/10.1007/978-3-030-04179-3_43
http___dx.doi.org_10.1007_978-3-030-04179-3_43 http://dx.doi.org/10.1007/978-3-030-04179-3_43
miccio:1995:pGPiBDD Parallel Genetic Programming Induction of Binary Decision Diagrams
ChristianMiccio.html
EduardoSanchez.html
MarcoTomassini.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_miccio_1995_pGPiBDD.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/miccio_1995_pGPiBDD.pdf
http___lslwww.epfl.ch_pages_publications_papers9195_home.html http://lslwww.epfl.ch/pages/publications/papers9195/home.html
michalewicz:1996:GADSEP.13 Evolutionary Programming and Genetic Programming
ZbigniewMichalewicz.html
http___link.springer.com_chapter_10.1007_978-3-662-03315-9_14 http://link.springer.com/chapter/10.1007/978-3-662-03315-9_14
http___dx.doi.org_10.1007_978-3-662-03315-9_14 http://dx.doi.org/10.1007/978-3-662-03315-9_14
MICHELL:2020:ASC Strongly-typed genetic programming and fuzzy inference system: An embedded approach to model and generate trading rules
KevinMichell.html
WernerKristjanpoller.html
http___www.sciencedirect.com_science_article_pii_S1568494620301095 http://www.sciencedirect.com/science/article/pii/S1568494620301095
http___dx.doi.org_10.1016_j.asoc.2020.106169 http://dx.doi.org/10.1016/j.asoc.2020.106169
DBLP:journals/soco/VK20 Generating trading rules on US Stock Market using strongly typed genetic programming
KevinMichell.html
WernerKristjanpoller.html
https___doi.org_10.1007_s00500-019-04085-1 https://doi.org/10.1007/s00500-019-04085-1
http___dx.doi.org_10.1007_s00500-019-04085-1 http://dx.doi.org/10.1007/s00500-019-04085-1
https___dblp.org_rec_journals_soco_VK20.bib https://dblp.org/rec/journals/soco/VK20.bib
Miconi:Avc:cec2005 A virtual creatures model for studies in artificial evolution
ThomasMiconi.html
AlastairDChannon.html
http___www.channon.net_alastair_papers_cec2005.pdf http://www.channon.net/alastair/papers/cec2005.pdf
https___ieeexplore.ieee.org_document_1554733 https://ieeexplore.ieee.org/document/1554733
http___ieeexplore.ieee.org_servlet_opac_punumber_10417_isvol_1 http://ieeexplore.ieee.org/servlet/opac?punumber=10417&isvol=1
http___ieeexplore.ieee.org_servlet_opac_punumber_10417 http://ieeexplore.ieee.org/servlet/opac?punumber=10417
http___dx.doi.org_10.1109_CEC.2005.1554733 http://dx.doi.org/10.1109/CEC.2005.1554733
DBLP:conf/ae/MiconiC05 Analysing Co-evolution Among Artificial 3D Creatures
ThomasMiconi.html
AlastairDChannon.html
http___www.channon.net_alastair_papers_ea05.pdf http://www.channon.net/alastair/papers/ea05.pdf
http___dx.doi.org_10.1007_11740698_15 http://dx.doi.org/10.1007/11740698_15
Miconi:2006:AL An Improved System for Artificial Creatures Evolution
ThomasMiconi.html
AlastairDChannon.html
http___www.channon.net_alastair_papers_alife2006.pdf http://www.channon.net/alastair/papers/alife2006.pdf
Miconi:TNA:cec2006 The N-Strikes-Out Algorithm: A Steady-State Algorithm for Coevolution
ThomasMiconi.html
AlastairDChannon.html
http___www.channon.net_alastair_papers_cec2006.pdf http://www.channon.net/alastair/papers/cec2006.pdf
http___ieeexplore.ieee.org_servlet_opac_punumber_11108 http://ieeexplore.ieee.org/servlet/opac?punumber=11108
http___ieeexplore.ieee.org_xpl_articleDetails.jsp_arnumber_1688505 http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=1688505
http___dx.doi.org_10.1109_CEC.2006.1688505 http://dx.doi.org/10.1109/CEC.2006.1688505
conf/eurogp/Miconi08 In Silicon No One Can Hear You Scream: Evolving Fighting Creatures
ThomasMiconi.html
http___dx.doi.org_10.1007_978-3-540-78671-9_3 http://dx.doi.org/10.1007/978-3-540-78671-9_3
Miconi:2009:eurogp Why coevolution doesn't "work": superiority and progress in coevolution
ThomasMiconi.html
http___www.cs.bham.ac.uk__txm_eurogp09.pdf http://www.cs.bham.ac.uk/~txm/eurogp09.pdf
http___dx.doi.org_10.1007_978-3-642-01181-8_5 http://dx.doi.org/10.1007/978-3-642-01181-8_5
mided:2002:MLPRCA Machine Learning and Pattern Recognition using Cellular Automata
ZacharyMided.html
Ingo_Mierswa:gecco05ws Method Trees: Building Blocks for Self-Organizable Representations of Value Series
IngoMierswa.html
KatharinaMorik.html
http___gpbib.cs.ucl.ac.uk_gecco2005wks_papers_0293.pdf http://gpbib.cs.ucl.ac.uk/gecco2005wks/papers/0293.pdf
dissertation_mierswa Non-convex and multi-objective optimization in data mining
IngoMierswa.html
https___eldorado.tu-dortmund.de_bitstream_2003_26104_1_dissertation_mierswa.pdf https://eldorado.tu-dortmund.de/bitstream/2003/26104/1/dissertation_mierswa.pdf
https___eldorado.tu-dortmund.de_handle_2003_26104 https://eldorado.tu-dortmund.de/handle/2003/26104
http___hdl.handle.net_2003_26104 http://hdl.handle.net/2003/26104
http___dx.doi.org_10.17877_DE290R-12761 http://dx.doi.org/10.17877/DE290R-12761
Miikkulainen:2019:GECCOcomp Evolution of neural networks
RistoMiikkulainen.html
http___dx.doi.org_10.1145_3319619.3323380 http://dx.doi.org/10.1145/3319619.3323380
Miikkulainen:2020:GECCOcomp Evolution of Neural Networks
RistoMiikkulainen.html
https___doi.org_10.1145_3377929.3389858 https://doi.org/10.1145/3377929.3389858
http___dx.doi.org_10.1145_3377929.3389858 http://dx.doi.org/10.1145/3377929.3389858
miikkulainen:2021:nmi A biological perspective on evolutionary computation
RistoMiikkulainen.html
StephanieForrest.html
https___rdcu.be_clFHY https://rdcu.be/clFHY
https___www.nature.com_articles_s42256-020-00278-8.pdf https://www.nature.com/articles/s42256-020-00278-8.pdf
http___dx.doi.org_10.1038_s42256-020-00278-8 http://dx.doi.org/10.1038/s42256-020-00278-8
1277304 Program search with simulated annealing
MitsunoriMiki.html
MasafumiHashimoto.html
YoshihisaFujita.html
http___gpbib.cs.ucl.ac.uk_gecco2007_docs_p1754.pdf http://gpbib.cs.ucl.ac.uk/gecco2007/docs/p1754.pdf
http___dx.doi.org_10.1145_1276958.1277304 http://dx.doi.org/10.1145/1276958.1277304
Milano:2023:MetroAutomotive An Analytical Model for Lithium-Ion Batteries Based on Genetic Programming Approach
FilippoMilano.html
GiuliaDiCapua.html
NunzioOliva.html
FrancescoPorpora.html
CarmineBourelly.html
LFerrigno.html
MLaracca.html
http___dx.doi.org_10.1109_MetroAutomotive57488.2023.10219104 http://dx.doi.org/10.1109/MetroAutomotive57488.2023.10219104
Milano:2018:arxiv Scaling Up Cartesian Genetic Programming through Preferential Selection of Larger Solutions
NicolaMilano.html
StefanoNolfi.html
http___arxiv.org_abs_1810.09485 http://arxiv.org/abs/1810.09485
milano:2021:EI Enhancing Cartesian genetic programming through preferential selection of larger solutions
NicolaMilano.html
StefanoNolfi.html
http___link.springer.com_article_10.1007_s12065-020-00421-9 http://link.springer.com/article/10.1007/s12065-020-00421-9
http___dx.doi.org_10.1007_s12065-020-00421-9 http://dx.doi.org/10.1007/s12065-020-00421-9
Milea:thesis News Analytics for Financial Decision Support
ViorelMilea.html
https___www.erim.eur.nl_doctoral-programme_phd-in-management_phd-projects_detail_469-news-analytics-for-financial-decision-support_ https://www.erim.eur.nl/doctoral-programme/phd-in-management/phd-projects/detail/469-news-analytics-for-financial-decision-support/
http___hdl.handle.net_1765_38673 http://hdl.handle.net/1765/38673
https___repub.eur.nl_pub_38673 https://repub.eur.nl/pub/38673
https___repub.eur.nl_pub_38673_EPS2013275LIS9789058923219.pdf https://repub.eur.nl/pub/38673/EPS2013275LIS9789058923219.pdf
Miles:thesis Adaptive efficiency of futures and stock markets : analysis and tests using a genetic programming
StanMiles.html
http___search.proquest.com_docview_304985250_F090C35B735040DEPQ_1_accountid_14511 http://search.proquest.com/docview/304985250/F090C35B735040DEPQ/1?accountid=14511
https___www.library.yorku.ca_find_Search_Results_lookfor0___Miles_lookfor0____type0___Author_join1_AND_lookfor1___Genetic_Programming_lookfor1____type1___AllFields_mylang_en https://www.library.yorku.ca/find/Search/Results?lookfor0[]=Miles&lookfor0[]=&type0[]=Author&join1=AND&lookfor1[]=Genetic+Programming&lookfor1[]=&type1[]=AllFields&mylang=en
Miles:2011:CMED Can Investors Benefit from Using Trading Rules Evolved by Genetic Programming? A Test of the Adaptive Efficiency of U.S. Stock Markets with Margin Trading Allowed
StanMiles.html
JBarrySmith.html
http___dx.doi.org_10.1007_978-3-642-16943-4_5 http://dx.doi.org/10.1007/978-3-642-16943-4_5
Milev:thesis Genetic Programming Use in Structural Modeling Applied to the Earnings-Returns Relation
JordanGMilev.html
http___search.proquest.com_docview_305110188_AD4457348014431PQ_1_accountid_14511 http://search.proquest.com/docview/305110188/AD4457348014431PQ/1?accountid=14511
Milfelner:2005:JMPT Genetic equation for the cutting force in ball-end milling
MatjazMilfelner.html
JanezKopac.html
FranciCus.html
UrosZuperl.html
http___dx.doi.org_10.1016_j.jmatprotec.2005.02.147 http://dx.doi.org/10.1016/j.jmatprotec.2005.02.147
Millan-Garcia:2021:evoapplications Estimation of Grain-level Residual Stresses in a Quenched Cylindrical Sample of Aluminum Alloy AA5083 using Genetic Programming
LauraMillanGarcia.html
GabrielKronberger.html
JoseIgnacioHidalgoPerez.html
RicardoFernandezSerrano.html
OscarGarnica.html
GasparGonzalezDoncel.html
http___dx.doi.org_10.1007_978-3-030-72699-7_27 http://dx.doi.org/10.1007/978-3-030-72699-7_27
MILLANGARCIA:2023:jmrt Using genetic programming and the stress equilibrium method to obtain the un-stressed lattice parameter for calculating residual stresses
LMillan-Garcia.html
GBokuchava.html
PHalodova.html
ASaez-Maderuelo.html
GGonzalez-Doncel.html
JoseIgnacioHidalgoPerez.html
JMVelasco.html
RFernandez.html
http___dx.doi.org_10.1016_j.jmrt.2023.01.045 http://dx.doi.org/10.1016/j.jmrt.2023.01.045
https___www.sciencedirect.com_science_article_pii_S2238785423000455 https://www.sciencedirect.com/science/article/pii/S2238785423000455
Millard:2012:SSBSE Searching for Pareto-optimal Randomised Algorithms
AlanGMillard.html
DavidRobertWhite.html
JohnAClark.html
http___dx.doi.org_10.1007_978-3-642-33119-0_14 http://dx.doi.org/10.1007/978-3-642-33119-0_14
miller:1997:poenn Preventing Overfitting of Evolved Neural Networks
GrahamMiller.html
750023 Restricted Evaluation Genetic Algorithms with Tabu Search for Optimising Boolean Functions as Multi-Level AND-EXOR Networks
JulianFMiller.html
PeterThomson.html
https___rdcu.be_dgo0t https://rdcu.be/dgo0t
http___dx.doi.org_10.1007_BFb0032775 http://dx.doi.org/10.1007/BFb0032775
miller:1998:edcrfgGA Evolving Digital Electronic Circuits for Real-Valued Function Generation using a Genetic Algorithm
JulianFMiller.html
PeterThomson.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.26.8117 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.26.8117
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.26.8117.pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.26.8117.pdf
656753 Aspects of Digital Evolution: Geometry and Learning
JulianFMiller.html
PeterThomson.html
http___www.elec.york.ac.uk_intsys_users_jfm7_ices98.pdf http://www.elec.york.ac.uk/intsys/users/jfm7/ices98.pdf
http___dx.doi.org_10.1007_BFb0057604 http://dx.doi.org/10.1007/BFb0057604
668781 Aspects of Digital Evolution: Evolvability and Architecture
JulianFMiller.html
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http___www.elec.york.ac.uk_intsys_users_jfm7_ppsn.ps http://www.elec.york.ac.uk/intsys/users/jfm7/ppsn.ps
miller:1998:gp98 GP98 Conference Report
JulianFMiller.html
http___evonet.lri.fr_evoweb_files_evonews_evonews8.pdf http://evonet.lri.fr/evoweb/files/evonews/evonews8.pdf
651850 Evolution of Digital Filters Using a Gate Array Model
JulianFMiller.html
http___citeseer.ist.psu.edu_cache_papers_cs_3662_http_zSzzSzwww.dcs.napier.ac.ukzSz_julianzSzevoiasp.pdf_miller98evolution.pdf http://citeseer.ist.psu.edu/cache/papers/cs/3662/http:zSzzSzwww.dcs.napier.ac.ukzSz~julianzSzevoiasp.pdf/miller98evolution.pdf
http___citeseer.ist.psu.edu_miller98evolution.html http://citeseer.ist.psu.edu/miller98evolution.html
miller:1999:ACGP An empirical study of the efficiency of learning Boolean functions using a Cartesian Genetic Programming approach
JulianFMiller.html
http___citeseer.ist.psu.edu_153431.html http://citeseer.ist.psu.edu/153431.html
http___gpbib.cs.ucl.ac.uk_gecco1999_GP-411.ps http://gpbib.cs.ucl.ac.uk/gecco1999/GP-411.ps
https___dl.acm.org_doi_10.5555_2934046.2934074 https://dl.acm.org/doi/10.5555/2934046.2934074
miller:1999:DFDGEA Digital Filter Design at Gate-level using Evolutionary Algorithms
JulianFMiller.html
http___gpbib.cs.ucl.ac.uk_gecco1999_GP-406.ps http://gpbib.cs.ucl.ac.uk/gecco1999/GP-406.ps
Miller:1999:eh On the Filtering Properties of Evolved Gate Arrays
JulianFMiller.html
http___www.elec.york.ac.uk_intsys_users_jfm7_eh99.pdf http://www.elec.york.ac.uk/intsys/users/jfm7/eh99.pdf
miller:2000:CGP Cartesian Genetic Programming
JulianFMiller.html
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http___www.elec.york.ac.uk_intsys_users_jfm7_cgp-eurogp2000.pdf http://www.elec.york.ac.uk/intsys/users/jfm7/cgp-eurogp2000.pdf
http___citeseer.ist.psu.edu_424028.html http://citeseer.ist.psu.edu/424028.html
http___dx.doi.org_10.1007_978-3-540-46239-2_9 http://dx.doi.org/10.1007/978-3-540-46239-2_9
miller:2000:peddg1 Principles in the Evolutionary Design of Digital Circuits-Part I
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DominicJob.html
VesselinKVassilev.html
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https___rdcu.be_cT3VI https://rdcu.be/cT3VI
http___dx.doi.org_10.1023_A_1010016313373 http://dx.doi.org/10.1023/A:1010016313373
miller:2000:peddg2 Principles in the Evolutionary Design of Digital Circuits-Part II
JulianFMiller.html
DominicJob.html
VesselinKVassilev.html
https___rdcu.be_cT3VV https://rdcu.be/cT3VV
http___dx.doi.org_10.1023_A_1010066330916 http://dx.doi.org/10.1023/A:1010066330916
miller:2001:gp Genetic Programming, Proceedings of EuroGP'2001
JulianFMiller.html
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PierLucaLanzi.html
ConorRyan.html
AndreaGBTettamanzi.html
WilliamBLangdon.html
http___dx.doi.org_10.1007_3-540-45355-5 http://dx.doi.org/10.1007/3-540-45355-5
ICES2001 Untidy Evolution: Evolving Messy Gates for Fault Tolerance
JulianFMiller.html
MortenHartmann.html
http___www.elec.york.ac.uk_intsys_users_jfm7_ices2001.pdf http://www.elec.york.ac.uk/intsys/users/jfm7/ices2001.pdf
http___dx.doi.org_10.1007_3-540-45443-8_2 http://dx.doi.org/10.1007/3-540-45443-8_2
miller:2001:gecco Evolution of Program Size in Cartesian Genetic Programming
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http___gpbib.cs.ucl.ac.uk_gecco2001_d02.pdf http://gpbib.cs.ucl.ac.uk/gecco2001/d02.pdf
miller:2001:eh Evolving messy gates for fault tolerance: some preliminary findings
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http___www.elec.york.ac.uk_intsys_users_jfm7_eh01.pdf http://www.elec.york.ac.uk/intsys/users/jfm7/eh01.pdf
miller:2001:wbcgpbp What Bloat? Cartesian Genetic Programming on Boolean Problems
JulianFMiller.html
http___www.elec.york.ac.uk_intsys_users_jfm7_gecco2001Late.pdf http://www.elec.york.ac.uk/intsys/users/jfm7/gecco2001Late.pdf
510373 The genetic algorithm as a discovery engine: strange circuits and new principles
JulianFMiller.html
TatianaKalganova.html
DominicJob.html
NataliaGLipnitskaya.html
https___www.sciencedirect.com_science_article_pii_B9781558606739500586 https://www.sciencedirect.com/science/article/pii/B9781558606739500586
http___dx.doi.org_10.1016_B978-155860673-9_50058-6 http://dx.doi.org/10.1016/B978-155860673-9/50058-6
miller:2002:sees What is a Good Genotype-Phenotype Mapping for the Evolution of Computer Programs?
JulianFMiller.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_2002_sees_miller_2002_sees.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/2002_sees/miller_2002_sees.pdf
Miller:2002:eh Evolution in Materio: Looking Beyond the Silicon Box
JulianFMiller.html
KeithLDowning.html
http___www.elec.york.ac.uk_intsys_users_jfm7_eh2002.pdf http://www.elec.york.ac.uk/intsys/users/jfm7/eh2002.pdf
miller:2003:ICES A Developmental Method for Growing Graphs and Circuits
JulianFMiller.html
PeterThomson.html
http___www.elec.york.ac.uk_intsys_users_jfm7_ices2003.pdf http://www.elec.york.ac.uk/intsys/users/jfm7/ices2003.pdf
http___dx.doi.org_10.1007_3-540-36553-2_9 http://dx.doi.org/10.1007/3-540-36553-2_9
ecal2003 Evolving Developmental Programs for Adaptation, Morphogenesis, and Self-Repair
JulianFMiller.html
http___www.elec.york.ac.uk_intsys_users_jfm7_ecal2003.pdf http://www.elec.york.ac.uk/intsys/users/jfm7/ecal2003.pdf
http___dx.doi.org_10.1007_b12035 http://dx.doi.org/10.1007/b12035
KumarBentley2003 Evolving the program for a cell: from French flags to Boolean circuits
JulianFMiller.html
WolfgangBanzhaf.html
http___web.cs.mun.ca__banzhaf_papers_chapter_finalrevision.pdf http://web.cs.mun.ca/~banzhaf/papers/chapter_finalrevision.pdf
MS:IEEETEC:06 Redundancy and Computational Efficiency in Cartesian Genetic Programming
JulianFMiller.html
StephenLSmith.html
http___dx.doi.org_10.1109_TEVC.2006.871253 http://dx.doi.org/10.1109/TEVC.2006.871253
Miller:2008:geccocomp Cartesian genetic programming
JulianFMiller.html
SimonHarding.html
http___gpbib.cs.ucl.ac.uk_gecco2008_docs_p2701.pdf http://gpbib.cs.ucl.ac.uk/gecco2008/docs/p2701.pdf
http___dx.doi.org_10.1145_1388969.1389075 http://dx.doi.org/10.1145/1388969.1389075
Miller:2010:GPEM Editorial to tenth anniversary issue on progress in genetic programming and evolvable machines
JulianFMiller.html
RiccardoPoli.html
http___dx.doi.org_10.1007_s10710-010-9115-0 http://dx.doi.org/10.1007/s10710-010-9115-0
Miller:2010:geccocomp Cartesian genetic programming
JulianFMiller.html
SimonHarding.html
http___dx.doi.org_10.1145_1830761.1830924 http://dx.doi.org/10.1145/1830761.1830924
Miller:2011:GECCOcomp GECCO 2011 tutorial: cartesian genetic programming
JulianFMiller.html
SimonHarding.html
http___dx.doi.org_10.1145_2001858.2002136 http://dx.doi.org/10.1145/2001858.2002136
Miller:CGP Cartesian Genetic Programming
JulianFMiller.html
http___www.springer.com_computer_theoretical_computer_science_book_978-3-642-17309-7 http://www.springer.com/computer/theoretical+computer+science/book/978-3-642-17309-7
http___dx.doi.org_10.1007_978-3-642-17310-3 http://dx.doi.org/10.1007/978-3-642-17310-3
Miller:2011:CGP.ch1 Introduction to Evolutionary Computation and Genetic Programming
JulianFMiller.html
http___www.springer.com_computer_theoretical_computer_science_book_978-3-642-17309-7 http://www.springer.com/computer/theoretical+computer+science/book/978-3-642-17309-7
http___dx.doi.org_10.1007_978-3-642-17310-3_1 http://dx.doi.org/10.1007/978-3-642-17310-3_1
Miller:2011:CGP.ch2 Cartesian Genetic Programming
JulianFMiller.html
http___www.springer.com_computer_theoretical_computer_science_book_978-3-642-17309-7 http://www.springer.com/computer/theoretical+computer+science/book/978-3-642-17309-7
http___dx.doi.org_10.1007_978-3-642-17310-3_2 http://dx.doi.org/10.1007/978-3-642-17310-3_2
Miller:2011:CGP.appA Resources for Cartesian Genetic Programming
http___www.springer.com_computer_theoretical_computer_science_book_978-3-642-17309-7 http://www.springer.com/computer/theoretical+computer+science/book/978-3-642-17309-7
http___dx.doi.org_10.1007_978-3-642-17310-3 http://dx.doi.org/10.1007/978-3-642-17310-3
Miller:2012:GECCOcomp GECCO 2012 tutorial: cartesian genetic programming
JulianFMiller.html
SimonHarding.html
http___dx.doi.org_10.1145_2330784.2330932 http://dx.doi.org/10.1145/2330784.2330932
Miller:2013:GECCOcomp Function optimization using cartesian genetic programming
JulianFMiller.html
MaktubaMohid.html
http___dx.doi.org_10.1145_2464576.2464646 http://dx.doi.org/10.1145/2464576.2464646
Miller:2013:GECCOcompa GECCO 2013 tutorial: cartesian genetic programming
JulianFMiller.html
http___dx.doi.org_10.1145_2464576.2464578 http://dx.doi.org/10.1145/2464576.2464578
Miller:2015:GECCOcomp Cartesian Genetic Programming
JulianFMiller.html
AndrewJamesTurner.html
http___doi.acm.org_10.1145_2739482.2756571 http://doi.acm.org/10.1145/2739482.2756571
http___dx.doi.org_10.1145_2739482.2756571 http://dx.doi.org/10.1145/2739482.2756571
Miller:2015:csdc Cartesian Genetic Programming
JulianFMiller.html
http___cs-dc-15.org_ http://cs-dc-15.org/
http___cs-dc-15.org_papers_multi-scale-dynamics_evol-comp-methods-2_cartesian-genetic-programming_ http://cs-dc-15.org/papers/multi-scale-dynamics/evol-comp-methods-2/cartesian-genetic-programming/
Miller:2017:GECCO A Developmental Artificial Neural Network Model for Solving Multiple Problems
JulianFMiller.html
DennisGWilson.html
http___doi.acm.org_10.1145_3067695.3075976 http://doi.acm.org/10.1145/3067695.3075976
http___dx.doi.org_10.1145_3067695.3075976 http://dx.doi.org/10.1145/3067695.3075976
journals/ijcia/MillerC14 Semantic Search Techniques for Learning Smaller Boolean Expression Trees in Genetic Programming
NicholasCMiller.html
PhilipKChan.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.696.8161 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.696.8161
http___cs.fit.edu__pkc_papers_ijcia14.pdf http://cs.fit.edu/~pkc/papers/ijcia14.pdf
http___dx.doi.org_10.1142_S1469026814500187 http://dx.doi.org/10.1142/S1469026814500187
miller:2018:GPTP Evolving Developmental Programs That Build Neural Networks for Solving Multiple Problems
JulianFMiller.html
DennisGWilson.html
SylvainCussat-Blanc.html
http___link.springer.com_chapter_10.1007_978-3-030-04735-1_8 http://link.springer.com/chapter/10.1007/978-3-030-04735-1_8
http___dx.doi.org_10.1007_978-3-030-04735-1_8 http://dx.doi.org/10.1007/978-3-030-04735-1_8
Miller:GPEM20 Cartesian Genetic Programming: its status and future
JulianFMiller.html
http___dx.doi.org_10.1007_s10710-019-09360-6 http://dx.doi.org/10.1007/s10710-019-09360-6
Miller:2020:ALife Evolving developmental neural networks to solve multiple problems
JulianFMiller.html
https___direct.mit.edu_isal_proceedings_isal2020_473_98437 https://direct.mit.edu/isal/proceedings/isal2020/473/98437
http___dx.doi.org_10.1162_isal_a_00252 http://dx.doi.org/10.1162/isal_a_00252
https___www.youtube.com_watch_v_440BoGwtGWo https://www.youtube.com/watch?v=440BoGwtGWo
Miller:2021:GPTP Designing Multiple ANNs with Evolutionary Development: Activity Dependence
JulianFMiller.html
http___dx.doi.org_10.1007_978-981-16-8113-4_9 http://dx.doi.org/10.1007/978-981-16-8113-4_9
Miller:2021:ALife IMPROBED: Multiple Problem-Solving Brain via Evolved Developmental Programs
JulianFMiller.html
https___doi.org_10.1162_artl_a_00346 https://doi.org/10.1162/artl_a_00346
http___dx.doi.org_10.1162_artl_a_00346 http://dx.doi.org/10.1162/artl_a_00346
Milone_2007_GPEM Adaptive learning of polynomial networks, genetic programming, backpropagation and Bayesian methods, series on genetic and evolutionary computation, Springer Science, New York, N. Nikolaev and H. Iba, 2006, Vol. XIV, 316 pp, ISBN 0:387-31239-0
DiegoHMilone.html
http___dx.doi.org_10.1007_s10710-007-9034-x http://dx.doi.org/10.1007/s10710-007-9034-x
min:2003:WUJNS Modeling dynamic systems by using the nonlinear difference equations based on genetic programming
LiuMin.html
HuBao-qing.html
http___link.springer.com_article_10.1007_BF02899487 http://link.springer.com/article/10.1007/BF02899487
http___dx.doi.org_10.1007_BF02899487 http://dx.doi.org/10.1007/BF02899487
min:1994:constraint Feasibility of evolving self-learned pattern recognition applied towards the solution of a constrained system using genetic programming
ShermanLMin.html
conf/kes/MinarikS11 Evolution of Iterative Formulas Using Cartesian Genetic Programming
MilosMinarik.html
LukasSekanina.html
http___dx.doi.org_10.1007_978-3-642-23851-2_2 http://dx.doi.org/10.1007/978-3-642-23851-2_2
minarik:2014:EuroGP Exploring the Search Space of Hardware / Software Embedded Systems by Means of GP
MilosMinarik.html
LukasSekanina.html
http___dx.doi.org_10.1007_978-3-662-44303-3_10 http://dx.doi.org/10.1007/978-3-662-44303-3_10
Minarik:2017:EuroGP On Evolutionary Approximation of Sigmoid Function for HW/SW Embedded Systems
MilosMinarik.html
LukasSekanina.html
http___dx.doi.org_10.1007_978-3-319-55696-3_22 http://dx.doi.org/10.1007/978-3-319-55696-3_22
Minarik:thesis Concurrent evolutionary design of hardware and software
MilosMinarik.html
https___hdl.handle.net_11012_187316 https://hdl.handle.net/11012/187316
https___dblp.org_rec_phd_basesearch_Minarik18.bib https://dblp.org/rec/phd/basesearch/Minarik18.bib
https___dspace.vutbr.cz_handle_11012_187316 https://dspace.vutbr.cz/handle/11012/187316
https___dspace.vutbr.cz_bitstream_handle_11012_187316_thesis-1.pdf https://dspace.vutbr.cz/bitstream/handle/11012/187316/thesis-1.pdf
Mingo:2007:cec Grammatical Evolution Guided by Reinforcement
JackMarioMingo.html
RicardoAlerMur.html
http___dx.doi.org_10.1109_CEC.2007.4424646 http://dx.doi.org/10.1109/CEC.2007.4424646
Mingo:2008:Revista IWPAAMS2007-02: The Role Of The Lamarck Hypothesis In The Grammatical Evolution Guided By Reinforcement
JackMarioMingo.html
RicardoAlerMur.html
http___dx.doi.org_10.1109_TLA.2008.4908181 http://dx.doi.org/10.1109/TLA.2008.4908181
Mingo:2011:IWINAC An Incremental Model of Lexicon Consensus in a Population of Agents by Means of Grammatical Evolution, Reinforcement Learning and Semantic Rules
JackMarioMingo.html
RicardoAlerMur.html
http___dx.doi.org_10.1007_978-3-642-21344-1_5 http://dx.doi.org/10.1007/978-3-642-21344-1_5
Mingo:2012:idarla Static and Dynamic Multi-Robot Coverage with Grammatical Evolution Guided by Reinforcement and Semantic Rules
JackMarioMingo.html
RicardoAlerMur.html
DarioMaravallGomez-Allende.html
JavierdeLope.html
http___www.igi-global.com_book_intelligent-data-analysis-real-life_62622 http://www.igi-global.com/book/intelligent-data-analysis-real-life/62622
http___dx.doi.org_10.4018_978-1-4666-1806-0.ch017 http://dx.doi.org/10.4018/978-1-4666-1806-0.ch017
journals/cai/MingoAMA13 Investigations into Lamarckism, Baldwinism and Local Search in Grammatical Evolution Guided by Reinforcement
JackMarioMingo.html
RicardoAlerMur.html
DarioMaravallGomez-Allende.html
JavierdeLope.html
http___www.cai.sk_ojs_index.php_cai_article_view_1735 http://www.cai.sk/ojs/index.php/cai/article/view/1735
Mingo:thesis Auto-Emergencia de Comunicacion Sintactica en Entornos Estaticos y Dinamicos para Grupos de Robots mediante Evolucion Gramatical y Aprendizaje por Refuerzo
JackMarioMingo.html
http___oa.upm.es_33171_ http://oa.upm.es/33171/
http___oa.upm.es_33171_1_JACK_MARIO_MINGO_POSTIGLIONI.pdf http://oa.upm.es/33171/1/JACK_MARIO_MINGO_POSTIGLIONI.pdf
Mingo:2016:IS A competence-performance based model to develop a syntactic language for artificial agents
JackMarioMingo.html
RicardoAlerMur.html
http___www.sciencedirect.com_science_article_pii_S0020025516306727 http://www.sciencedirect.com/science/article/pii/S0020025516306727
http___dx.doi.org_10.1016_j.ins.2016.08.088 http://dx.doi.org/10.1016/j.ins.2016.08.088
Mingo:GPEM:shared_grammars Evolution of shared grammars for describing simulated spatial scenes with grammatical evolution
JackMarioMingo.html
RicardoAlerMur.html
http___dx.doi.org_10.1007_s10710-017-9315-y http://dx.doi.org/10.1007/s10710-017-9315-y
minns:1996:hmihc Hydrological Modelling in a Hydroinformatics Context
AnthonyWMinns.html
VladanBabovic.html
http___www.springer.com_earth_sciences_and_geography_hydrogeology_book_978-0-7923-4042-3 http://www.springer.com/earth+sciences+and+geography/hydrogeology/book/978-0-7923-4042-3
Minns:2000:JH Subsymbolic methods for data mining in hydraulic engineering
AnthonyWMinns.html
http___www.iwaponline.com_jh_002_0003_0020003.pdf http://www.iwaponline.com/jh/002/0003/0020003.pdf
http___dx.doi.org_10.2166_hydro.2000.0002 http://dx.doi.org/10.2166/hydro.2000.0002
Miorandi2009 A survey of evolutionary and embryogenic approaches to autonomic networking
DanieleMiorandi.html
LidiaYamamoto.html
FrancescoDePellegrini.html
http___dx.doi.org_10.1016_j.comnet.2009.08.021 http://dx.doi.org/10.1016/j.comnet.2009.08.021
http___www.sciencedirect.com_science_article_B6VRG-4X6FNS9-2_2_9be45a6ee371c9df9bae76c468300991 http://www.sciencedirect.com/science/article/B6VRG-4X6FNS9-2/2/9be45a6ee371c9df9bae76c468300991
Miquilini:2016:CEC Enhancing Discrimination Power with Genetic Feature Construction: A Grammatical Evolution Approach
PatriciaMiquilini.html
RodrigoCBarros.html
ViniciusVelosodeMelo.html
MarcioPortoBasgalupp.html
http___dx.doi.org_10.1109_CEC.2016.7744274 http://dx.doi.org/10.1109/CEC.2016.7744274
Mirabdolazimi:2017:CBM Rutting depth prediction of hot mix asphalts modified with forta fiber using artificial neural networks and genetic programming technique
SMMirabdolazimi.html
GholamaliShafabakhsh.html
http___dx.doi.org_10.1016_j.conbuildmat.2017.05.088 http://dx.doi.org/10.1016/j.conbuildmat.2017.05.088
http___www.sciencedirect.com_science_article_pii_S0950061817309753 http://www.sciencedirect.com/science/article/pii/S0950061817309753
Miragaia:2018:evoApplications CGP4Matlab A Cartesian Genetic Programming MATLAB Toolbox for Audio and Image Processing
RolandoMiragaia.html
GustavoMiguelJorgedosReis.html
FranciscoFernandezdeVega.html
TiagoJoaoLeiteInacio.html
CarlosGrilo.html
http___dx.doi.org_10.1007_978-3-319-77538-8_31 http://dx.doi.org/10.1007/978-3-319-77538-8_31
Miragaia:2020:SSCI Multi Pitch Estimation of Piano Music using Cartesian Genetic Programming with Spectral Harmonic Mask
RolandoMiragaia.html
GustavoMiguelJorgedosReis.html
FranciscoFernandezdeVega.html
FranciscoChavezdelaO.html
http___dx.doi.org_10.1109_SSCI47803.2020.9308178 http://dx.doi.org/10.1109/SSCI47803.2020.9308178
DBLP:conf/sac/MiragaiaVR21 Evolving a multi-classifier system with cartesian genetic programming for multi-pitch estimation of polyphonic piano music
RolandoMiragaia.html
FranciscoFernandezdeVega.html
GustavoMiguelJorgedosReis.html
https___doi.org_10.1145_3412841.3441927 https://doi.org/10.1145/3412841.3441927
http___dx.doi.org_10.1145_3412841.3441927 http://dx.doi.org/10.1145/3412841.3441927
https___dblp.org_rec_conf_sac_MiragaiaVR21.bib https://dblp.org/rec/conf/sac/MiragaiaVR21.bib
miragaia:2021:AS Evolving a Multi-Classifier System for Multi-Pitch Estimation of Piano Music and Beyond: An Application of Cartesian Genetic Programming
RolandoMiragaia.html
FranciscoFernandezdeVega.html
GustavoMiguelJorgedosReis.html
TiagoJoaoLeiteInacio.html
https___www.mdpi.com_2076-3417_11_7_2902 https://www.mdpi.com/2076-3417/11/7/2902
http___dx.doi.org_10.3390_app11072902 http://dx.doi.org/10.3390/app11072902
DBLP:journals/corr/abs-2202-04039 Using Genetic Programming to Predict and Optimize Protein Function
IliyaMiralavy.html
AlexanderRBricco.html
AssafAGilad.html
WolfgangBanzhaf.html
https___arxiv.org_abs_2202.04039 https://arxiv.org/abs/2202.04039
https___dblp.org_rec_journals_corr_abs-2202-04039.bib https://dblp.org/rec/journals/corr/abs-2202-04039.bib
Miralavy:2022:PeerJ Using genetic programming to predict and optimize protein function
IliyaMiralavy.html
AlexanderRBricco.html
AssafAGilad.html
WolfgangBanzhaf.html
https___peerj.com_articles_pchem-24.pdf https://peerj.com/articles/pchem-24.pdf
http___dx.doi.org_10.7717_peerj-pchem.24 http://dx.doi.org/10.7717/peerj-pchem.24
https___dfzljdn9uc3pi.cloudfront.net_2022_pchem-24_1_POET_Python_Code.zip https://dfzljdn9uc3pi.cloudfront.net/2022/pchem-24/1/POET_Python_Code.zip
https___dfzljdn9uc3pi.cloudfront.net_2022_pchem-24_1_Dataset_with_sources_revised.csv https://dfzljdn9uc3pi.cloudfront.net/2022/pchem-24/1/Dataset_with_sources_revised.csv
Miralavy:2023:EuroGP Spatial Genetic Programming
IliyaMiralavy.html
WolfgangBanzhaf.html
https___rdcu.be_c8U1k https://rdcu.be/c8U1k
http___dx.doi.org_10.1007_978-3-031-29573-7_17 http://dx.doi.org/10.1007/978-3-031-29573-7_17
Miranda:2018:CEC A Comparison Study Between Deep Learning and Genetic Programming Application in Cart Pole Balancing Problem
IcaroMiranda.html
MarceloLadeira.html
ClausdeCastroAranha.html
http___dx.doi.org_10.1109_CEC.2018.8477814 http://dx.doi.org/10.1109/CEC.2018.8477814
Miranda:2019:gecco Classification of EEG Signals using Genetic Programming for Feature Construction
IcaroMiranda.html
ClausdeCastroAranha.html
MarceloLadeira.html
http___human-competitive.org_sites_default_files_gecco_paper_2019.pdf http://human-competitive.org/sites/default/files/gecco_paper_2019.pdf
http___dx.doi.org_10.1145_3321707.3321737 http://dx.doi.org/10.1145/3321707.3321737
Miranda:2017:GECCOa How Noisy Data Affects Geometric Semantic Genetic Programming
LuisFernandoMiranda.html
LuizOtavioVilasBoasOliveira.html
JoaoFranciscoBSMartins.html
GiseleLPappa.html
http___doi.acm.org_10.1145_3071178.3071300 http://doi.acm.org/10.1145/3071178.3071300
http___dx.doi.org_10.1145_3071178.3071300 http://dx.doi.org/10.1145/3071178.3071300
Miranda:2015:GECCO GEFPSO: A Framework for PSO Optimization based on Grammatical Evolution
PericlesBarbosaMiranda.html
RicardoBastosCavalcantePrudencio.html
http___doi.acm.org_10.1145_2739480.2754819 http://doi.acm.org/10.1145/2739480.2754819
http___dx.doi.org_10.1145_2739480.2754819 http://dx.doi.org/10.1145/2739480.2754819
conf/bracis/MirandaP16 Tree-Based Grammar Genetic Programming to Evolve Particle Swarm Algorithms
PericlesBarbosaMiranda.html
RicardoBastosCavalcantePrudencio.html
http___dx.doi.org_10.1109_BRACIS.2016.016 http://dx.doi.org/10.1109/BRACIS.2016.016
Miranda:2016:BRACIS A Novel Context-Free Grammar to Guide the Construction of Particle Swarm Optimization Algorithms
PericlesBarbosaMiranda.html
RicardoBastosCavalcantePrudencio.html
http___dx.doi.org_10.1109_BRACIS.2016.061 http://dx.doi.org/10.1109/BRACIS.2016.061
MIRANDA2017281 Generation of Particle Swarm Optimization algorithms: An experimental study using Grammar-Guided Genetic Programming
PericlesBarbosaMiranda.html
RicardoBastosCavalcantePrudencio.html
http___www.sciencedirect.com_science_article_pii_S1568494617303836 http://www.sciencedirect.com/science/article/pii/S1568494617303836
http___dx.doi.org_10.1016_j.asoc.2017.06.040 http://dx.doi.org/10.1016/j.asoc.2017.06.040
Miranda:2020:CEC Instance Selection for Geometric Semantic Genetic Programming
LuisFernandoMiranda.html
LuizOtavioOliveira.html
JoaoFranciscoMartins.html
GiseleLPappa.html
http___dx.doi.org_10.1109_CEC48606.2020.9185867 http://dx.doi.org/10.1109/CEC48606.2020.9185867
miranda:2022:GECCOcomp A New Grammatical Evolution Method for Generating Deep Convolutional Neural Networks with Novel Topologies
ThiagoMiranda.html
DiorgeSardinha.html
MarcioPortoBasgalupp.html
RicardoCerri.html
http___dx.doi.org_10.1145_3520304.3529025 http://dx.doi.org/10.1145/3520304.3529025
conf/semeval/Miranda-Jimenez17 INGEOTEC at SemEval 2017 Task 4: A B4MSA Ensemble based on Genetic Programming for Twitter Sentiment Analysis
SabinoMiranda-Jimenez.html
MarioGraffGuerrero.html
EricSaditTellez.html
DanielaAlejandraMoctezumaOchoa.html
http___aclanthology.info_volumes_proceedings-of-the-11th-international-workshop-on-semantic-evaluation-semeval-2017 http://aclanthology.info/volumes/proceedings-of-the-11th-international-workshop-on-semantic-evaluation-semeval-2017
http___aclweb.org_anthology_S17-2 http://aclweb.org/anthology/S17-2
http___dx.doi.org_10.18653_v1_S17-2130 http://dx.doi.org/10.18653/v1/S17-2130
Miras:2018:evoApplications Search Space Analysis of Evolvable Robot Morphologies
KarinedaSilvaMirasdeAraujo.html
EvertHaasdijk.html
KyrreHaraldGlette.html
GuszEiben.html
http___dx.doi.org_10.1007_978-3-319-77538-8_47 http://dx.doi.org/10.1007/978-3-319-77538-8_47
Mironovich:2017:ieeeINDIN Automatic generation of function block applications using evolutionary algorithms: Initial explorations
VladimirAnatolevichMironovich.html
MaximBuzdalov.html
ValeriiVladimirovichVyatkin.html
http___dx.doi.org_10.1109_INDIN.2017.8104858 http://dx.doi.org/10.1109/INDIN.2017.8104858
Mironovich:2018:GECCOcomp From fitness landscape analysis to designing evolutionary algorithms: the case study in automatic generation of function block applications
VladimirAnatolevichMironovich.html
MaximBuzdalov.html
ValeriiVladimirovichVyatkin.html
http___dx.doi.org_10.1145_3205651.3208230 http://dx.doi.org/10.1145/3205651.3208230
MIRZAEE:2021:CERD Adsorption of diclofenac on mesoporous activated carbons: Physical and chemical activation, modeling with genetic programming and molecular dynamic simulation
SeyyedAbbasMirzaee.html
BehruzBayati.html
MohammadrezaValizadeh.html
HelderTGomes.html
ZahraNoorimotlagh.html
http___dx.doi.org_10.1016_j.cherd.2020.12.025 http://dx.doi.org/10.1016/j.cherd.2020.12.025
https___www.sciencedirect.com_science_article_pii_S0263876220306213 https://www.sciencedirect.com/science/article/pii/S0263876220306213
Mirzahosseini:2010:ISAP Evaluation of Rutting Potential of Asphalt Mixtures Using Linear Genetic Programming
MohammadRezaMirzahosseini.html
AHAlavi.html
FereidoonMoghaddasNejad.html
AHGandomi.html
MahmoudAmeri.html
http___www.proceedings.com_12470.html http://www.proceedings.com/12470.html
https___www.researchgate.net_publication_236619155_Evaluation_of_Rutting_Potential_of_Asphalt_Mixtures_Using_Linear_Genetic_Programming https://www.researchgate.net/publication/236619155_Evaluation_of_Rutting_Potential_of_Asphalt_Mixtures_Using_Linear_Genetic_Programming
Mirzahosseini:2011:ESA Permanent deformation analysis of asphalt mixtures using soft computing techniques
MohammadRezaMirzahosseini.html
AlirezaAghaeifar.html
AHAlavi.html
AHGandomi.html
RezaSeyednour.html
http___www.sciencedirect.com_science_article_pii_S095741741001239X http://www.sciencedirect.com/science/article/pii/S095741741001239X
http___dx.doi.org_10.1016_j.eswa.2010.11.002 http://dx.doi.org/10.1016/j.eswa.2010.11.002
Mirzahosseini:2013:TRB ANN-Based Prediction Model for Rutting Propensity of Asphalt Mixtures
MohammadRezaMirzahosseini.html
YacoubMohdNajjar.html
AHAlavi.html
AHGandomi.html
http___amonline.trb.org_2013-1.264263_13-2180-1-1.291788 http://amonline.trb.org/2013-1.264263/13-2180-1-1.291788
http___assets.conferencespot.org_fileserver_file_45736_filename_2vd3kv.pdf http://assets.conferencespot.org/fileserver/file/45736/filename/2vd3kv.pdf
Mirzahosseini:2015:IJGM Next-Generation Models for Evaluation of the Flow Number of Asphalt Mixtures
MohammadRezaMirzahosseini.html
YacoubMohdNajjar.html
AHAlavi.html
AHGandomi.html
http___dx.doi.org_10.1061__ASCE_GM.1943-5622.0000483 http://dx.doi.org/10.1061/(ASCE)GM.1943-5622.0000483
Mishra:2018:IJPQM An experimental investigation on strain controlled fatigue behaviour of FDM build parts
SwayamBikashMishra.html
SibaSankarMahapatra.html
http___www.inderscience.com_link.php_id_92980 http://www.inderscience.com/link.php?id=92980
http___dx.doi.org_10.1504_IJPQM.2018.092980 http://dx.doi.org/10.1504/IJPQM.2018.092980
Mitavskiy:FOGA2005 A Schema-Based Version of Geiringer's Theorem for Nonlinear Genetic Programming with Homologous Crossover
BorisMitavskiy.html
JonathanERowe.html
http___dx.doi.org_10.1007_b138412 http://dx.doi.org/10.1007/b138412
MR:EC:06 An Extension of Geiringer's Theorem for a Wide Class of Evolutionary Search Algorithms
BorisMitavskiy.html
JonathanERowe.html
http___www.mitpressjournals.org_doi_abs_10.1162_evco.2006.14.1.87 http://www.mitpressjournals.org/doi/abs/10.1162/evco.2006.14.1.87
http___dx.doi.org_10.1162_evco.2006.14.1.87 http://dx.doi.org/10.1162/evco.2006.14.1.87
Mitavskiy:2006:TCS Some Results about the Markov Chains Associated to GPs and to General EAs
BorisMitavskiy.html
JonathanERowe.html
http___dx.doi.org_10.1016_j.tcs.2006.04.006 http://dx.doi.org/10.1016/j.tcs.2006.04.006
mitchell:1999:ARES Evolutionary Computation: An Overview
MelanieMitchell.html
CharlesETaylor.html
http___links.jstor.org_sici_sici_0066-4162_281999_2930_3C593_3AECAO_3E2.0.CO_3B2-P http://links.jstor.org/sici?sici=0066-4162%281999%2930%3C593%3AECAO%3E2.0.CO%3B2-P
mitchell:1997:MLbook Machine Learning
TomMMitchell.html
oai:biomedcentral.com:1471-2407-6-159 The use of genetic programming in the analysis of quantitative gene expression profiles for identification of nodal status in bladder cancer
AnirbanPMitra.html
ArpitAAlmal.html
BenGeorge.html
DavidWFry.html
PeterFLenehan.html
VincenzoPagliarulo.html
RichardJCote.html
RamHDatar.html
WilliamPWorzel.html
http___www.biomedcentral.com_1471-2407_6_159 http://www.biomedcentral.com/1471-2407/6/159
http___www.biomedcentral.com_content_pdf_1471-2407-6-159.pdf http://www.biomedcentral.com/content/pdf/1471-2407-6-159.pdf
http___dx.doi.org_10.1186_1471-2407-6-159 http://dx.doi.org/10.1186/1471-2407-6-159
Mitra:thesis Predicting bladder cancer behavior by molecular expression profiling
AnirbanPMitra.html
http___digitallibrary.usc.edu_cdm_ref_collection_p15799coll127_id_247267 http://digitallibrary.usc.edu/cdm/ref/collection/p15799coll127/id/247267
Mittal:2013:IJARCET BBO Comparison with other Nature Inspired Algorithms to Resolve Mixels
MittuMittal.html
GagandeepKaur.html
http___ijarcet.org_wp-content_uploads_VOLUME-2-ISSUE-6-2114-2118.pdf http://ijarcet.org/wp-content/uploads/VOLUME-2-ISSUE-6-2114-2118.pdf
Miyahara:2012:SCIS Acquisition of glycan motifs using genetic programming and various fitness functions
TetsuhiroMiyahara.html
TetsujiKuboyama.html
http___dx.doi.org_10.1109_SCIS-ISIS.2012.6505277 http://dx.doi.org/10.1109/SCIS-ISIS.2012.6505277
journals/jaciii/MiyaharaK14 Learning of Glycan Motifs Using Genetic Programming and Various Fitness Functions
TetsuhiroMiyahara.html
TetsujiKuboyama.html
http___www.fujipress.jp_finder_xslt.php_mode_present_amp_inputfile_JACII001800030021.xml http://www.fujipress.jp/finder/xslt.php?mode=present&inputfile=JACII001800030021.xml
http___dx.doi.org_10.20965_jaciii.2014.p0401 http://dx.doi.org/10.20965/jaciii.2014.p0401
Miyashita:2000:GECCO Job-Shop Scheduling with Genetic Programming
KazuoMiyashita.html
http___gpbib.cs.ucl.ac.uk_gecco2000_GP041.pdf http://gpbib.cs.ucl.ac.uk/gecco2000/GP041.pdf
http___dx.doi.org_10.5555_2933718.2933809 http://dx.doi.org/10.5555/2933718.2933809
Miyashita:2003:M Evolutionary generation of human-like bipedal locomotion
KazuoMiyashita.html
SooyolOk.html
KazunoriHase.html
http___elsevier.lib.sjtu.edu.cn_cgi-bin_sciserv.pl_collection_journals_journal_09574158_issue_v13i8-9_article_791_egohbl http://elsevier.lib.sjtu.edu.cn/cgi-bin/sciserv.pl?collection=journals&journal=09574158&issue=v13i8-9&article=791_egohbl
http___dx.doi.org_10.1016_S0957-4158_03_00003-5 http://dx.doi.org/10.1016/S0957-4158(03)00003-5
MiyauchiMakoto:2012-02-28 Power-Switch Drive-circuit generation for Ground-Bounce reduction using the Genetic-Programming
MakotoMiyauchi.html
MasaruKudo.html
YuyaOhta.html
KimiyoshiUsami.html
http___ci.nii.ac.jp_naid_110009545710_en_ http://ci.nii.ac.jp/naid/110009545710/en/
Mizoguchi:1994:ICEC Production genetic algorithms for automated hardware design through an evolutionary process
Jun'ichiMizoguchi.html
HitoshiHemmi.html
KatsunoriShimohara.html
http___dx.doi.org_10.1109_ICEC.1994.349980 http://dx.doi.org/10.1109/ICEC.1994.349980
Mizuno:2013:SICE A design method for the complex network growth model
HarukiMizuno.html
TakashiOkamoto.html
SeiichiKoakutsu.html
HironoriHirata.html
http___ieeexplore.ieee.org_xpl_articleDetails.jsp_tp__arnumber_6736203 http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6736203
Mladenovic:2016:AES Extreme learning approach with wavelet transform function for forecasting wind turbine wake effect to improve wind farm efficiency
IgorMladenovic.html
DusanMarkovic.html
MilosMilovancevic.html
MiroljubNikolic.html
http___dx.doi.org_10.1016_j.advengsoft.2016.02.011 http://dx.doi.org/10.1016/j.advengsoft.2016.02.011
http___www.sciencedirect.com_science_article_pii_S0965997816300588 http://www.sciencedirect.com/science/article/pii/S0965997816300588
Mladenovic:2016:RSER Management and estimation of thermal comfort, carbon dioxide emission and economic growth by support vector machine
IgorMladenovic.html
SvetlanaSokolov-Mladenovic.html
MilosMilovancevic.html
DusanMarkovic.html
NenadSimeunovic.html
http___dx.doi.org_10.1016_j.rser.2016.06.034 http://dx.doi.org/10.1016/j.rser.2016.06.034
http___www.sciencedirect.com_science_article_pii_S136403211630257X http://www.sciencedirect.com/science/article/pii/S136403211630257X
MO:2018:ASC GMDH-based hybrid model for container throughput forecasting: Selective combination forecasting in nonlinear subseries
LiliMo.html
LingXie.html
XiaoyiJiang.html
GeerTeng.html
LixiangXu.html
JinXiao.html
http___dx.doi.org_10.1016_j.asoc.2017.10.033 http://dx.doi.org/10.1016/j.asoc.2017.10.033
http___www.sciencedirect.com_science_article_pii_S1568494617306385 http://www.sciencedirect.com/science/article/pii/S1568494617306385
DBLP:journals/ewc/MoayediMF21 Swarm-based analysis through social behavior of grey wolf optimization and genetic programming to predict friction capacity of driven piles
HosseinMoayedi.html
MohammedAbdullahiMu'azu.html
LokeKokFoong.html
https___doi.org_10.1007_s00366-019-00885-z https://doi.org/10.1007/s00366-019-00885-z
http___dx.doi.org_10.1007_s00366-019-00885-z http://dx.doi.org/10.1007/s00366-019-00885-z
https___dblp.org_rec_journals_ewc_MoayediMF21.bib https://dblp.org/rec/journals/ewc/MoayediMF21.bib
moayedi:2021:ICISRM Two Novel Predictive Networks for Slope Stability Analysis Using a Combination of Genetic Programming and Artificial Neural Network Techniques
HosseinMoayedi.html
http___link.springer.com_chapter_10.1007_978-3-030-60839-2_6 http://link.springer.com/chapter/10.1007/978-3-030-60839-2_6
http___dx.doi.org_10.1007_978-3-030-60839-2_6 http://dx.doi.org/10.1007/978-3-030-60839-2_6
moayyedian:2023:IJAMT Optimized injection-molding process for thin-walled polypropylene part using genetic programming and interior point solver
MehdiMoayyedian.html
MohammadRezaChalakQazani.html
VahidPourmostaghimi.html
http___link.springer.com_article_10.1007_s00170-022-10551-2 http://link.springer.com/article/10.1007/s00170-022-10551-2
http___dx.doi.org_10.1007_s00170-022-10551-2 http://dx.doi.org/10.1007/s00170-022-10551-2
mock:1998:welp Wildwood: The Evolution of L-System Plants for Virtual Environments
KenrickJMock.html
http___www.math.uaa.alaska.edu__afkjm_papers_Wildwood.doc http://www.math.uaa.alaska.edu/~afkjm/papers/Wildwood.doc
http___dx.doi.org_10.1109_ICEC.1998.699854 http://dx.doi.org/10.1109/ICEC.1998.699854
Moctezuma:2017:TASS A Genetic Programming Approach to Sentiment Analysis for Twitter: TASS'17
DanielaAlejandraMoctezumaOchoa.html
MarioGraffGuerrero.html
SabinoMiranda-Jimenez.html
EricSaditTellez.html
AbelCoronado.html
ClaudiaNallelySanchezGomez.html
JoseOrtizBejar.html
http___ceur-ws.org_Vol-1896_p1_ingeotec_tass2017.pdf http://ceur-ws.org/Vol-1896/p1_ingeotec_tass2017.pdf
oai:CiteSeerX.psu:10.1.1.604.610 Record Deduplication By Evolutionary Means
MarcoModesto.html
MoisesGdeCarvalho.html
WalterdosSantos.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.604.610 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.604.610
http___homepages.dcc.ufmg.br__nivio_cursos_pa06_seminarios_seminario16_seminario16.pdf http://homepages.dcc.ufmg.br/~nivio/cursos/pa06/seminarios/seminario16/seminario16.pdf
moeeni:2017:JESS Monthly reservoir inflow forecasting using a new hybrid SARIMA genetic programming approach
HamidMoeeni.html
HosseinBonakdari.html
IsaEbtehaj.html
http___link.springer.com_article_10.1007_s12040-017-0798-y http://link.springer.com/article/10.1007/s12040-017-0798-y
http___dx.doi.org_10.1007_s12040-017-0798-y http://dx.doi.org/10.1007/s12040-017-0798-y
DBLP:journals/soco/MoeiniN21 Hybridizing ANN-NSGA-II model with genetic programming method for reservoir operation rule curve determination (Case study Zayandehroud dam reservoir)
RamtinMoeini.html
KamranNasiri.html
https___doi.org_10.1007_s00500-021-06130-4 https://doi.org/10.1007/s00500-021-06130-4
http___dx.doi.org_10.1007_s00500-021-06130-4 http://dx.doi.org/10.1007/s00500-021-06130-4
https___dblp.org_rec_journals_soco_MoeiniN21.bib https://dblp.org/rec/journals/soco/MoeiniN21.bib
DBLP:conf/bracis/MollerBGS20 A Reinforcement Learning Based Adaptive Mutation for Cartesian Genetic Programming Applied to the Design of Combinational Logic Circuits
FredericoJoseDiasMoeller.html
HederSoaresBernardino.html
LucianaBrugioloGoncalves.html
StenioSaRosarioFurtadoSoares.html
https___doi.org_10.1007_978-3-030-61380-8_2 https://doi.org/10.1007/978-3-030-61380-8_2
http___dx.doi.org_10.1007_978-3-030-61380-8_2 http://dx.doi.org/10.1007/978-3-030-61380-8_2
https___dblp.org_rec_conf_bracis_MollerBGS20.bib https://dblp.org/rec/conf/bracis/MollerBGS20.bib
Mogavero:2016:SSCI Configurational optimizer of Combined Cycle Propulsion using Genetic Programming
AMogavero.html
http___dx.doi.org_10.1109_SSCI.2016.7850102 http://dx.doi.org/10.1109/SSCI.2016.7850102
MOGHADAM:2023:jhydrol Investigating the performance of data mining, lumped, and distributed models in runoff projected under climate change
SeyedehHadisMoghadam.html
Parisa-SadatAshofteh.html
HugoALoaiciga.html
http___dx.doi.org_10.1016_j.jhydrol.2022.128992 http://dx.doi.org/10.1016/j.jhydrol.2022.128992
https___www.sciencedirect.com_science_article_pii_S0022169422015621 https://www.sciencedirect.com/science/article/pii/S0022169422015621
Moghaddam:2016:Measurement The use of SVM-FFA in estimating fatigue life of polyethylene terephthalate modified asphalt mixtures
TaherBaghaeeMoghaddam.html
MehrtashSoltani.html
HamedShahrokhiShahraki.html
ShahaboddinShamshirband.html
NoorzailyBinMohamedNoor.html
MohamedRehanKarim.html
http___dx.doi.org_10.1016_j.measurement.2016.05.004 http://dx.doi.org/10.1016/j.measurement.2016.05.004
http___www.sciencedirect.com_science_article_pii_S0263224116301440 http://www.sciencedirect.com/science/article/pii/S0263224116301440
MohamadiBaghmolaei:2016:JML Novel Method for estimation of Gas/Oil relative Permeabilities
MohamadMohamadi-Baghmolaei.html
RezaAzin.html
ZahraSakhaei.html
RezvanMohamadi-Baghmolaei.html
ShahriarOsfouri.html
http___dx.doi.org_10.1016_j.molliq.2016.08.055 http://dx.doi.org/10.1016/j.molliq.2016.08.055
http___www.sciencedirect.com_science_article_pii_S0167732216303166 http://www.sciencedirect.com/science/article/pii/S0167732216303166
MohamadiBaghmolaei:2016:JMLa Novel method for estimation of gas/oil relative permeabilities
MohamadMohamadi-Baghmolaei.html
RezaAzin.html
ZahraSakhaei.html
RezvanMohamadi-Baghmolaei.html
ShahriarOsfouri.html
http___dx.doi.org_10.1016_j.molliq.2016.08.096 http://dx.doi.org/10.1016/j.molliq.2016.08.096
http___www.sciencedirect.com_science_article_pii_S016773221630318X http://www.sciencedirect.com/science/article/pii/S016773221630318X
mohammad-azari:2020:EMaA State-of-art of genetic programming applications in water-resources systems analysis
SaharMohammad-Azari.html
OmidBozorgHaddad.html
HugoALoaiciga.html
http___link.springer.com_article_10.1007_s10661-019-8040-9 http://link.springer.com/article/10.1007/s10661-019-8040-9
http___dx.doi.org_10.1007_s10661-019-8040-9 http://dx.doi.org/10.1007/s10661-019-8040-9
DBLP:journals/tinstmc/MohammadiNJ20 The archived-based genetic programming for optimal design of linear/non-linear controllers
AdelMohammadi.html
NaderNariman-Zadeh.html
AliJamali.html
https___doi.org_10.1177_0142331219891551 https://doi.org/10.1177/0142331219891551
http___dx.doi.org_10.1177_0142331219891551 http://dx.doi.org/10.1177/0142331219891551
https___dblp.org_rec_journals_tinstmc_MohammadiNJ20.bib https://dblp.org/rec/journals/tinstmc/MohammadiNJ20.bib
Mohammadi:2015:Energy Predicting the wind power density based upon extreme learning machine
KasraMohammadi.html
ShahaboddinShamshirband.html
PorLipYee.html
DaliborPetkovic.html
MazdakZamani.html
SudheerCh.html
http___dx.doi.org_10.1016_j.energy.2015.03.111 http://dx.doi.org/10.1016/j.energy.2015.03.111
http___www.sciencedirect.com_science_article_pii_S0360544215004600 http://www.sciencedirect.com/science/article/pii/S0360544215004600
MOHAMMADI:2022:jtice Toward predicting SO2 solubility in ionic liquids utilizing soft computing approaches and equations of state
Mohammad-RezaMohammadi.html
FahimehHadavimoghaddam.html
SaeidAtashrouz.html
AliAbedi.html
AbdolhosseinHemmati-Sarapardeh.html
AhmadMohaddespour.html
http___dx.doi.org_10.1016_j.jtice.2022.104220 http://dx.doi.org/10.1016/j.jtice.2022.104220
https___www.sciencedirect.com_science_article_pii_S1876107022000190 https://www.sciencedirect.com/science/article/pii/S1876107022000190
Mohammadnejad:2012:EES Robust attenuation relations for peak time-domain parameters of strong ground motions
AliKafaeiMohammadnejad.html
SeyyedMohammadMousavi.html
MohammadTorabi.html
MehdiMousavi.html
AHAlavi.html
http___link.springer.com_article_10.1007_2Fs12665-011-1479-9 http://link.springer.com/article/10.1007%2Fs12665-011-1479-9
http___dx.doi.org_10.1007_s12665-011-1479-9 http://dx.doi.org/10.1007/s12665-011-1479-9
Mohammadnia:2021:JWE An Efficient Method for Automatic Antipatterns Detection of REST Web Services
SobhanMohammadnia.html
RasoolEsmaeilyfard.html
RezaAkbari.html
http___dx.doi.org_10.13052_jwe1540-9589.2063 http://dx.doi.org/10.13052/jwe1540-9589.2063
Mohammadzadeh:2016:EES Deriving an intelligent model for soil compression index utilizing multi-gene genetic programming
DMohammadzadehShadmehri.html
JafarBolouriBazaz.html
SHVafaeeJaniYazd.html
AHAlavi.html
http___link.springer.com_article_10.1007_s12665-015-4889-2 http://link.springer.com/article/10.1007/s12665-015-4889-2
http___dx.doi.org_10.1007_s12665-015-4889-2 http://dx.doi.org/10.1007/s12665-015-4889-2
journals/corr/abs-1907-04913 Prediction of Compression Index of Fine-Grained Soils Using a Gene Expression Programming Model
DMohammadzadehShadmehri.html
Seyed-FarzanKazemi.html
AmirMosavi.html
EhsanNasseralshariati.html
JosephHMTah.html
http___arxiv.org_abs_1907.04913 http://arxiv.org/abs/1907.04913
Mohanty:2013:ASC Hybrid intelligent systems for predicting software reliability
RamakantaMohanty.html
VadlamaniRavi.html
ManasRanjanPatra.html
http___dx.doi.org_10.1016_j.asoc.2012.08.015 http://dx.doi.org/10.1016/j.asoc.2012.08.015
http___www.sciencedirect.com_science_article_pii_S1568494612003626 http://www.sciencedirect.com/science/article/pii/S1568494612003626
Mohanty:2015:ASC Prediction of constant amplitude fatigue crack growth life of 2024 T3 Al alloy with R-ratio effect by GP
JRMohanty.html
TKMahanta.html
AMohanty.html
DNThatoi.html
http___dx.doi.org_10.1016_j.asoc.2014.10.024 http://dx.doi.org/10.1016/j.asoc.2014.10.024
http___www.sciencedirect.com_science_article_pii_S1568494614005353 http://www.sciencedirect.com/science/article/pii/S1568494614005353
DBLP:journals/remotesensing/MohebzadehYL20 Spatial Downscaling of MODIS Chlorophyll-a with Genetic Programming in South Korea
HamidMohebzadeh.html
JunhoYeom.html
TaesamLee.html
https___doi.org_10.3390_rs12091412 https://doi.org/10.3390/rs12091412
http___dx.doi.org_10.3390_rs12091412 http://dx.doi.org/10.3390/rs12091412
https___dblp.org_rec_journals_remotesensing_MohebzadehYL20.bib https://dblp.org/rec/journals/remotesensing/MohebzadehYL20.bib
Mohr:2013:evolve A Comparative Study of Heuristic Conversion Algorithms, Genetic Programming and Return Predictability on the German Market
EstherMohr.html
GuenterSchmidt.html
SebastianJansen.html
http___dx.doi.org_10.1007_978-3-642-32726-1_12 http://dx.doi.org/10.1007/978-3-642-32726-1_12
Moilanen:1999:C Searching for Most Parsimonious Trees with Simulated Evolutionary Optimization
AtteMoilanen.html
http___www.helsinki.fi__ihanski_Articles_by_others_Cladistics_201999_20Moilanen.pdf http://www.helsinki.fi/~ihanski/Articles_by_others/Cladistics%201999%20Moilanen.pdf
http___www.sciencedirect.com_science_article_B6WCG-45K1GFT-C_2_26d8ad738876c47be070b90929205273 http://www.sciencedirect.com/science/article/B6WCG-45K1GFT-C/2/26d8ad738876c47be070b90929205273
http___dx.doi.org_10.1006_clad.1998.0081 http://dx.doi.org/10.1006/clad.1998.0081
Mojica200919 Cellular ``bauplans'': Evolving unicellular forms by means of Julia sets and Pickover biomorphs
NellySelemMojica.html
JorgeNavarro.html
PedroCMarijuan.html
RafaelLahoz-Beltra.html
http___dx.doi.org_10.1016_j.biosystems.2009.07.002 http://dx.doi.org/10.1016/j.biosystems.2009.07.002
Mojumder:2017:RSER The intelligent forecasting of the performances in PV/T collectors based on soft computing method
JuwelChandraMojumder.html
HwaiChyuanOng.html
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Molina:2021:ICSEcomp EvoSpex: An Evolutionary Algorithm for Learning Postconditions (artifact)
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NazarenoAguirre.html
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http___dx.doi.org_10.1109_ICSE-Companion52605.2021.00080 http://dx.doi.org/10.1109/ICSE-Companion52605.2021.00080
Mollahasani:2011:CCE A New Prediction Model for Soil Deformation Modulus Based on PLT Results
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AHAlavi.html
AHGandomi.html
JafarBolouriBazaz.html
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Mollahasani:2011:CG Empirical modeling of plate load test moduli of soil via gene expression programming
AliMollahasani.html
AHAlavi.html
AHGandomi.html
http___www.sciencedirect.com_science_article_pii_S0266352X1000162X http://www.sciencedirect.com/science/article/pii/S0266352X1000162X
http___dx.doi.org_10.1016_j.compgeo.2010.11.008 http://dx.doi.org/10.1016/j.compgeo.2010.11.008
molnar:1996:bits Genetic Programming: Will Bill Gates become Billy Appleseed?
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Momm:2006:ASPRS Genetic Programming as a Preprocessing Tool to Aid Multi-Temporal Imagery Classification
HenriqueGMomm.html
GregEasson.html
DawnWilkins.html
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Momm:2007:ASPRS Integration of Logistic Regression and Genetic Programming to Model Coastal Louisiana Land Loss Using Remote Sensing
HenriqueGMomm.html
JoelSKuszmaul.html
GregEasson.html
http___www.asprs.org_a_publications_proceedings_tampa2007_0044.pdf http://www.asprs.org/a/publications/proceedings/tampa2007/0044.pdf
Momm:2008:SPIE Uncertainty analysis of an evolutionary algorithm to develop remote sensing spectral indices
HenriqueGMomm.html
GregEasson.html
JoelSKuszmaul.html
http___dx.doi.org_10.1117_12.766367 http://dx.doi.org/10.1117/12.766367
Momm:2008:MSA Assessment of a Non-linear Optimization Algorithm for Imagery Classification
HenriqueGMomm.html
GregEasson.html
http___www.msstate.edu_org_MAS_jan08journal_jan08.pdf http://www.msstate.edu/org/MAS/jan08journal/jan08.pdf
Momm:thesis Evolutionary Computation for Information Extraction from Remotely Sensed Imagery
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Momm2009463 Evaluation of the use of spectral and textural information by an evolutionary algorithm for multi-spectral imagery classification
HenriqueGMomm.html
GregEasson.html
JoelSKuszmaul.html
http___dx.doi.org_10.1016_j.compenvurbsys.2009.07.007 http://dx.doi.org/10.1016/j.compenvurbsys.2009.07.007
Momm:2010:gecco Population restarting: a study case of feature extraction from remotely sensed imagery using textural information
HenriqueGMomm.html
GregEasson.html
http___dx.doi.org_10.1145_1830483.1830656 http://dx.doi.org/10.1145/1830483.1830656
Momm:2011:JARS Evolving spectral transformations for multitemporal information extraction using evolutionary computation
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GregEasson.html
http___remotesensing.spiedigitallibrary.org_article.aspx_articleid_1182443 http://remotesensing.spiedigitallibrary.org/article.aspx?articleid=1182443
http___dx.doi.org_10.1117_1.3662089 http://dx.doi.org/10.1117/1.3662089
Monakhov:2018:APEIE Differential Evolution for Multi-Variant Evolutionary Synthesis of Nonlinear Models
OlegGMonakhov.html
http___dx.doi.org_10.1109_APEIE.2018.8545984 http://dx.doi.org/10.1109/APEIE.2018.8545984
Monakhov:2018:DSiA An Algorithm of Multivariant Evolutionary Synthesis of Nonlinear Models with Real-Valued Chromosomes
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EmiliaAMonakhova.html
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http___dx.doi.org_10.1007_978-981-13-0860-4_4 http://dx.doi.org/10.1007/978-981-13-0860-4_4
Mondal:2012:WRR On the basin-scale detection and attribution of human-induced climate change in monsoon precipitation and streamflow
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http___dx.doi.org_10.1029_2011WR011468 http://dx.doi.org/10.1029/2011WR011468
Mondal:2013:IJSCE Automated Test Data Generation Using Fuzzy Logic-Genetic Algorithm Hybridization System for Class Testing Of Object Oriented Programming
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HiteshTahbildar.html
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MONFARED:2020:MM Design and simulation of nano-arbiters using quantum-dot cellular automata
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SeyyedAbdolmajidMousavi.html
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http___dx.doi.org_10.1016_j.micpro.2019.102926 http://dx.doi.org/10.1016/j.micpro.2019.102926
Moni:2019:ICIICT Machine Learning to Predict Annual Stock Market Index - a Genetic Programming Approach
VidyaMoni.html
http___dx.doi.org_10.1109_ICIICT1.2019.8741439 http://dx.doi.org/10.1109/ICIICT1.2019.8741439
Monier-Vinard:2018:ITherm Hybridizing Nature-Inspired Algorithms to Derive Accurate Surrogate Thermal Model: Genetic and Particle Swarm Optimization
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http___dx.doi.org_10.1109_ITHERM.2018.8419587 http://dx.doi.org/10.1109/ITHERM.2018.8419587
monperrus:hal-01206501 Automatic Software Repair: a Bibliography
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DBLP:journals/corr/abs-1807-00515 Automatic Software Repair: a Bibliography
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http___arxiv.org_abs_1807.00515 http://arxiv.org/abs/1807.00515
Monperrus:2018:ACM_CSUR Automatic Software Repair: A Bibliography
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http___dx.doi.org_10.1145_3105906 http://dx.doi.org/10.1145/3105906
monsieurs:2001:gecco Increasing the diversity of a population in genetic programming
PatrickMonsieurs.html
EddyFlerackers.html
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monsieurs:2001:FD Reducing Bloat in Genetic Programming
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EddyFlerackers.html
http___dx.doi.org_10.1007_3-540-45493-4_48 http://dx.doi.org/10.1007/3-540-45493-4_48
monsieurs:2001:dricGP Detecting and Removing Inactive Code in Genetic Programs
PatrickMonsieurs.html
EddyFlerackers.html
monsieurs:thesis Evolving Virtual Agents using Genetic Programming
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http___hdl.handle.net_1942_8865 http://hdl.handle.net/1942/8865
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monsieurs03 Reducing Population Size While Maintaining Diversity
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http___dx.doi.org_10.1007_3-540-36599-0_13 http://dx.doi.org/10.1007/3-540-36599-0_13
Montague:2024:evoapplications A Hierarchical Approach to Evolving Behaviour-Trees for Swarm Control
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EmmaHart.html
BenPaechter.html
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montana:stgp Strongly Typed Genetic Programming
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montana:stgp2 Strongly Typed Genetic Programming
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montana:stgpEC Strongly Typed Genetic Programming
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montana:1996:ecl4nts Evolving Control Laws for a Network of Traffic Signals
DavidJMontana.html
StevenCzerwinski.html
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montana:1998: EvolvaWare: Genetic Programming for Optimal Design of Hardware-Based Algorithms
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SurajIyer.html
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Montana:2014:GPEM A response to ''Genetic programming and emergence''
DavidJMontana.html
http___dx.doi.org_10.1007_s10710-013-9202-0 http://dx.doi.org/10.1007/s10710-013-9202-0
Montana:2009:eurogp New outcomes in Linear Genetic Programming: Adaptation, Performance and Vapnik-Chervonenkis Dimension of Straight Line Programs
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CesarLuisAlonso.html
CruzEnriqueBorges.html
JoseLuisCrespoFidalgo.html
http___dx.doi.org_10.1007_978-3-642-01181-8_27 http://dx.doi.org/10.1007/978-3-642-01181-8_27
conf/iccsa/MontanaABD11 Penalty Functions for Genetic Programming Algorithms
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CesarLuisAlonso.html
CruzEnriqueBorges.html
JavierdelaDehesa.html
http___dx.doi.org_10.1007_978-3-642-21928-3_40 http://dx.doi.org/10.1007/978-3-642-21928-3_40
Montana:2016:ESA Model-driven regularization approach to straight line program genetic programming
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CesarLuisAlonso.html
CruzEnriqueBorges.html
CristinaTirnauca.html
http___dx.doi.org_10.1016_j.eswa.2016.03.003 http://dx.doi.org/10.1016/j.eswa.2016.03.003
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Montealegre:2015:Tecnura Extracting classification rules from an informatic security incidents repository by genetic programming
CarvajalMontealegre.html
CarlosJavier.html
http___dialnet.unirioja.es_servlet_oaiart_codigo_5024543 http://dialnet.unirioja.es/servlet/oaiart?codigo=5024543
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conf/epia/Monteiro0P21 FERMAT: Feature Engineering with Grammatical Evolution
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NunoLourenco.html
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http___dx.doi.org_10.1007_978-3-030-86230-5_19 http://dx.doi.org/10.1007/978-3-030-86230-5_19
Montes:2003:cancun Cartesian Genetic Programming for Image Processing Tasks
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DBLP:journals/rcs/MontesJO16 Equations for Describing Behavior Tables in Thermodynamics Using Genetic Programming: Synthesizing the Saturated Water and Steam Table
MartinMontesRivera.html
MarvingOmarAguilarJusto.html
AlbertoOchoa-Zezzatti.html
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https___dblp.org_rec_journals_rcs_MontesJO16.bib https://dblp.org/rec/journals/rcs/MontesJO16.bib
conf/eurogp/Oca08 Exposing a Bias Toward Short-Length Numbers in Grammatical Evolution
MarcoAMontesdeOca.html
http___dx.doi.org_10.1007_978-3-540-78671-9_24 http://dx.doi.org/10.1007/978-3-540-78671-9_24
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MONTESDEOCAZAPIAIN:2023:commatsci Establishing a data-driven strength model for beta-tin by performing symbolic regression using genetic programming
DavidMontesdeOcaZapiain.html
JMatthewDLane.html
JayDCarroll.html
ZacharyCasias.html
CorbettCBattaile.html
SaryuFensin.html
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Montiel:2014:HPC4SC Graphics Processing Unit programming and applications
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FranciscoJavierDiazDelgadillo.html
NatalyMedinaRodriguez.html
http___www.crcnetbase.com_doi_abs_10.1201_b16441-5 http://www.crcnetbase.com/doi/abs/10.1201/b16441-5
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Moons:2014:PLOSmed Critical Appraisal and Data Extraction for Systematic Reviews of Prediction Modelling Studies: The CHARMS Checklist
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WalterBouwmeester.html
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GarySCollins.html
http___dx.doi.org_10.1371_journal.pmed.1001744 http://dx.doi.org/10.1371/journal.pmed.1001744
moore:1997:GPasox2pep A Genetic Programming Approach to Strategy Optimization in the Extended Two-Dimensional Pursuer/Evader Problem
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Moore:1997:GPmsouu A Genetic Programming Methodology for Strategy Optimization Under Uncertainty
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moore:1997:mrbGP New Methodology for Reducing Brittleness in Genetic Programming
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moore:1997:souux2dpe A Methodology for Strategy Optimization Under Uncertainty in the Extended Two-Dimensional Pursuer/Evader Problem
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moore:1997:noemuux2dpe A New Methodology for Optimizing Evasive Maneuvers Under Uncertainty in the Extended Two-Dimensional Pursuer/Evader Problem
FrankWilliamMoore.html
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moore:thesis A methodology for Strategy Optimization Under Uncertainty
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moore:1998:imvbrpGP Improving Means and Variances of Best-of-Run Programs in Genetic Programming
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moore:1998:GPmmcouu A Genetic Programming Methodology for Missile Countermeasures Optimization Under Uncertainity
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moore:1998:GPs3dmcopuu Genetic Programming Solves the Three-dimensional Missile Countermeasures Optimization Problem Under Uncertainty
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Moore:2002:EC A Methodology for Missile Countermeasures Optimization under Uncertainty
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moore:2000:CAMDA Symbolic Discriminant Analysis for Mining Gene Expression Patterns
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moore:2002:SDA Symbolic Discriminant Analysis of Microarray Data in Automimmune Disease
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moore:2001:ECML Symbolic Discriminant Analysis for Mining Gene Expression Patterns
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LanceWHahn.html
http___dx.doi.org_10.1007_3-540-44795-4_32 http://dx.doi.org/10.1007/3-540-44795-4_32
moore:2002:ecmd Evolutionary computation in microarray data analysis
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JoelSParker.html
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Moore:evowks03 Cross Validation Consistency for the Assessment of Genetic Programming Results in Microarray Studies
JasonHMoore.html
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moore:2003:gecco Grammatical Evolution for the Discovery of Petri Net Models of Complex Genetic Systems
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http___dx.doi.org_10.1007_3-540-45110-2_139 http://dx.doi.org/10.1007/3-540-45110-2_139
moore:2003:BS Petri net modeling of high-order genetic systems using grammatical evolution
JasonHMoore.html
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http___dx.doi.org_10.1016_S0303-2647_03_00142-4 http://dx.doi.org/10.1016/S0303-2647(03)00142-4
Moore:2004:DCDS Evaluation of a discrete dynamic systems approach for modeling the hierarchical relationship between genes, biochemistry, and disease susceptibility
JasonHMoore.html
LanceWHahn.html
http___dx.doi.org_10.3934_dcdsb.2004.4.275 http://dx.doi.org/10.3934/dcdsb.2004.4.275
moore:evows04 An Improved Grammatical Evolution Strategy for Hierarchical Petri Net Modeling of Complex Genetic Systems
JasonHMoore.html
LanceWHahn.html
http___dx.doi.org_10.1007_978-3-540-24653-4_7 http://dx.doi.org/10.1007/978-3-540-24653-4_7
moore:sbm:gecco2004 Systems Biology Modeling in Human Genetics Using Petri Nets and Grammatical Evolution
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LanceWHahn.html
http___dx.doi.org_10.1007_b98643 http://dx.doi.org/10.1007/b98643
Moore:2006:GPTP Genome-Wide Genetic Analysis Using Genetic Programming: The Critical Need for Expert Knowledge
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Moore:PPSN:2006 Exploiting Expert Knowledge in Genetic Programming for Genome-Wide Genetic Analysis
JasonHMoore.html
BillCWhite.html
http___ppsn2006.raunvis.hi.is_proceedings_262.pdf http://ppsn2006.raunvis.hi.is/proceedings/262.pdf
http___dx.doi.org_10.1007_11844297_98 http://dx.doi.org/10.1007/11844297_98
Moore:2007:HH Symbolic Modeling of Epistasis
JasonHMoore.html
NateBarney.html
Chia-TiTsai.html
Fu-TienChiang.html
JiangGui.html
BillCWhite.html
http___dx.doi.org_10.1159_000099184 http://dx.doi.org/10.1159/000099184
1277052 Towards human-human-computer interaction for biologically-inspired problem-solving in human genetics
JasonHMoore.html
NateBarney.html
BillCWhite.html
http___gpbib.cs.ucl.ac.uk_gecco2007_docs_p432.pdf http://gpbib.cs.ucl.ac.uk/gecco2007/docs/p432.pdf
http___dx.doi.org_10.1145_1276958.1277052 http://dx.doi.org/10.1145/1276958.1277052
Moore:2007:GPTP Solving Complex Problems in Human Genetics Using Genetic Programming: The Importance of Theorist-Practitioner-computer Interaction
JasonHMoore.html
NateBarney.html
BillCWhite.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.463.1917 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.463.1917
http___vserver1.cscs.lsa.umich.edu_PmWiki_Farms_GPTP-07_uploads_Main_moorebecker.pdf http://vserver1.cscs.lsa.umich.edu/PmWiki/Farms/GPTP-07/uploads/Main/moorebecker.pdf
http___dx.doi.org_10.1007_978-0-387-76308-8_5 http://dx.doi.org/10.1007/978-0-387-76308-8_5
conf/evoW/MooreABW08 Development and Evaluation of an Open-Ended Computational Evolution System for the Genetic Analysis of Susceptibility to Common Human Diseases
JasonHMoore.html
PeterCAndrews.html
NateBarney.html
BillCWhite.html
http___dx.doi.org_10.1007_978-3-540-78757-0_12 http://dx.doi.org/10.1007/978-3-540-78757-0_12
Moore:2008:GPTP Does Complexity Matter? Artificial Evolution, Computational Evolution and the Genetic Analysis of Epistasis in Common Human Diseases
JasonHMoore.html
CaseySGreene.html
PeterCAndrews.html
BillCWhite.html
http___dx.doi.org_10.1007_978-0-387-87623-8_9 http://dx.doi.org/10.1007/978-0-387-87623-8_9
Moore:2011:GPTP Human-Computer Interaction in a Computational Evolution System for the Genetic Analysis of Cancer
JasonHMoore.html
DouglasPHill.html
JonathanMFisher.html
NicoleALavender.html
LaCreisReneeKidd.html
http___dx.doi.org_10.1007_978-1-4614-1770-5_9 http://dx.doi.org/10.1007/978-1-4614-1770-5_9
Moore:2012:GPTP Genetic Analysis of Prostate Cancer Using Computational Evolution, Pareto-Optimization and Post-processing
JasonHMoore.html
DouglasPHill.html
ArvisSulovari.html
LaCreisReneeKidd.html
http___dx.doi.org_10.1007_978-1-4614-6846-2_7 http://dx.doi.org/10.1007/978-1-4614-6846-2_7
http___dx.doi.org_10.1007_978-1-4614-6846-2_7 http://dx.doi.org/10.1007/978-1-4614-6846-2_7
Moore:2013:GPTP Exploring Interestingness in a Computational Evolution System for the Genome-Wide Genetic Analysis of Alzheimer's Disease
JasonHMoore.html
DouglasPHill.html
AndrewJSaykin.html
LiShen.html
http___dx.doi.org_10.1007_978-1-4939-0375-7_2 http://dx.doi.org/10.1007/978-1-4939-0375-7_2
Moore:2014:GPTP Identification of Novel Genetic Models of Glaucoma Using the ``EMERGENT'' Genetic Programming-Based Artificial Intelligence System
JasonHMoore.html
CaseySGreene.html
DouglasPHill.html
http___dx.doi.org_10.1007_978-3-319-16030-6_2 http://dx.doi.org/10.1007/978-3-319-16030-6_2
Moore:2018:PSB A heuristic method for simulating open-data of arbitrary complexity that can be used to compare and evaluate machine learning methods
JasonHMoore.html
MaksimShestov.html
PeterSchmitt.html
RandalSOlson.html
https___pubmed.ncbi.nlm.nih.gov_29218887_ https://pubmed.ncbi.nlm.nih.gov/29218887/
http___psb.stanford.edu_psb-online_proceedings_psb18_moore.pdf http://psb.stanford.edu/psb-online/proceedings/psb18/moore.pdf
Moore:2018:hbge Grammatical Evolution Strategies for Bioinformatics and Systems Genomics
JasonHMoore.html
MosheSipper.html
http___dx.doi.org_10.1007_978-3-319-78717-6_16 http://dx.doi.org/10.1007/978-3-319-78717-6_16
Moore:2019:GPEM Automated discovery of test statistics using genetic programming
JasonHMoore.html
RandalSOlson.html
YongChen.html
MosheSipper.html
http___human-competitive.org_sites_default_files_automated-discovery-of-test-statistics_0.pdf http://human-competitive.org/sites/default/files/automated-discovery-of-test-statistics_0.pdf
https___rdcu.be_cTpQ0 https://rdcu.be/cTpQ0
http___dx.doi.org_10.1007_s10710-018-9338-z http://dx.doi.org/10.1007/s10710-018-9338-z
Moore:2019:GECCOcomp Discovering test statistics using genetic programming
JasonHMoore.html
RandalSOlson.html
YongChen.html
MosheSipper.html
http___dx.doi.org_10.1145_3319619.3326754 http://dx.doi.org/10.1145/3319619.3326754
Moore:2020:AlifeJ How Computational Experiments Can Improve Our Understanding of the Genetic Architecture of Common Human Diseases
JasonHMoore.html
RSOlson.html
PeterSchmitt.html
YChen.html
ElisabettaManduchi.html
http___dx.doi.org_10.1162_artl_a_00308 http://dx.doi.org/10.1162/artl_a_00308
Moore:2021:GPTP Automated machine learning using genetic programming
JasonHMoore.html
Moore:2022:GPTP Genetic programming as an innovation engine for automated machine learning
JasonHMoore.html
Moore:2023:hbeml Genetic Programming as an Innovation Engine for Automated Machine Learning: The Tree-Based Pipeline Optimization Tool (TPOT)
JasonHMoore.html
PedroHenriqueRibeiro.html
NicholasMatsumoto.html
AnilKumarSaini.html
https___link.springer.com_book_10.1007_978-981-99-3814-8 https://link.springer.com/book/10.1007/978-981-99-3814-8
http___dx.doi.org_10.1007_978-981-99-3814-8_14 http://dx.doi.org/10.1007/978-981-99-3814-8_14
moore:2023:GPEM Is the evolution metaphor still necessary or even useful for genetic programming?
JasonHMoore.html
https___rdcu.be_drZcP https://rdcu.be/drZcP
http___dx.doi.org_10.1007_s10710-023-09469-9 http://dx.doi.org/10.1007/s10710-023-09469-9
moore:2004:GPTP Using a Genetic Program to Search for Supply Chain Reordering
ScottAMoore.html
KurtDeMaagd.html
http___dx.doi.org_10.1007_0-387-23254-0_13 http://dx.doi.org/10.1007/0-387-23254-0_13
Mora:2015:ReCoSoC Fast and compact evolvable systolic arrays on dynamically reconfigurable FPGAs
JavierMoradeSambricio.html
AndresOtero.html
EduardodelaTorre.html
TeresaRiesgo.html
http___dx.doi.org_10.1109_ReCoSoC.2015.7238087 http://dx.doi.org/10.1109/ReCoSoC.2015.7238087
mora:GPEM On the scalability of evolvable hardware architectures: comparison of systolic array and Cartesian genetic programming
JavierMoradeSambricio.html
RubenSalvador.html
EduardodelaTorre.html
http___link.springer.com_article_10.1007_s10710-018-9340-5 http://link.springer.com/article/10.1007/s10710-018-9340-5
http___dx.doi.org_10.1007_s10710-018-9340-5 http://dx.doi.org/10.1007/s10710-018-9340-5
Moradi:2008:CCE Soft Computing-Based approaches for the Prediction of Compressive Strength of Lime-Microsilica Stabilized Clayey Soils
MohammadHosseinMoradi.html
AHAlavi.html
MAPashabavandpour.html
AHGandomi.html
AminAskarinejad.html
http___www.intersections.ro_Conferences_CCE2008.pdf http://www.intersections.ro/Conferences/CCE2008.pdf
MORADI:2020:CILS Modeling and optimization of lead and cobalt biosorption from water with Rafsanjan pistachio shell, using experiment based models of ANN and GP, and the grey wolf optimizer
PeymanMoradi.html
SajadHayati.html
TaherehGhahrizadeh.html
http___dx.doi.org_10.1016_j.chemolab.2020.104041 http://dx.doi.org/10.1016/j.chemolab.2020.104041
http___www.sciencedirect.com_science_article_pii_S0169743919304435 http://www.sciencedirect.com/science/article/pii/S0169743919304435
MORADKHANI:2020:IJHMT A general correlation for the frictional pressure drop during condensation in mini/micro and macro channels
MohammadAminMoradkhani.html
SeyyedHosseinHosseini.html
MohammadrezaValizadeh.html
AlirezaZendehboudi.html
GoodarzAhmadi.html
http___dx.doi.org_10.1016_j.ijheatmasstransfer.2020.120475 http://dx.doi.org/10.1016/j.ijheatmasstransfer.2020.120475
https___www.sciencedirect.com_science_article_pii_S0017931020334116 https://www.sciencedirect.com/science/article/pii/S0017931020334116
MORADKHANI:2021:PT Estimation of the minimum spouting velocity and pressure drop in open-sided draft tube spouted beds using genetic programming
MohammadAminMoradkhani.html
SeyyedHosseinHosseini.html
MartinOlazarAurrekoetxea.html
HAltzibar.html
MohammadrezaValizadeh.html
http___dx.doi.org_10.1016_j.powtec.2021.04.049 http://dx.doi.org/10.1016/j.powtec.2021.04.049
https___www.sciencedirect.com_science_article_pii_S0032591021003302 https://www.sciencedirect.com/science/article/pii/S0032591021003302
MORADKHANI:2021:IJR Saturated flow boiling inside conventional and mini/micro channels: A new general model for frictional pressure drop using genetic programming
MohammadAminMoradkhani.html
SeyyedHosseinHosseini.html
PMorshedi.html
MRahimi.html
SongMengjie.html
http___dx.doi.org_10.1016_j.ijrefrig.2021.09.022 http://dx.doi.org/10.1016/j.ijrefrig.2021.09.022
https___www.sciencedirect.com_science_article_pii_S0140700721003807 https://www.sciencedirect.com/science/article/pii/S0140700721003807
MORADKHANI:2022:IJGGC Applying intelligent approaches to estimate the removal efficiency of heat stable salts from lean amine via electrodialysis
MohammadAminMoradkhani.html
TKikhavani.html
SeyyedHosseinHosseini.html
BVanDerBruggen.html
BehrouzBayati.html
http___dx.doi.org_10.1016_j.ijggc.2021.103548 http://dx.doi.org/10.1016/j.ijggc.2021.103548
https___www.sciencedirect.com_science_article_pii_S1750583621002991 https://www.sciencedirect.com/science/article/pii/S1750583621002991
MORADKHANI:2022:applthermaleng Intelligent computing approaches to forecast thickness and surface roughness of frost layer on horizontal plates under natural convection
MohammadAminMoradkhani.html
SeyyedHosseinHosseini.html
LeiShangwen.html
SongMengjie.html
http___dx.doi.org_10.1016_j.applthermaleng.2022.119258 http://dx.doi.org/10.1016/j.applthermaleng.2022.119258
https___www.sciencedirect.com_science_article_pii_S1359431122011887 https://www.sciencedirect.com/science/article/pii/S1359431122011887
MORADKHANI:2022:ijrefrig Forecasting of saturated boiling heat transfer inside smooth helically coiled tubes using conventional and machine learning techniques
MohammadAminMoradkhani.html
SeyyedHosseinHosseini.html
MojtabaKarami.html
http___dx.doi.org_10.1016_j.ijrefrig.2022.06.036 http://dx.doi.org/10.1016/j.ijrefrig.2022.06.036
https___www.sciencedirect.com_science_article_pii_S0140700722002195 https://www.sciencedirect.com/science/article/pii/S0140700722002195
Moradpour:2023:SGC A New Method Based on Symbolic Regression to Detect The Probability of False Data Injection Attacks on PV Generation
AmirMohammadMoradpour.html
MohammadHosseinAlizadeh.html
HamedDelkhosh.html
http___dx.doi.org_10.1109_SGC61621.2023.10459279 http://dx.doi.org/10.1109/SGC61621.2023.10459279
Mora-Garcia:2008:gecco Discovering causes of financial distress by combining evolutionary algorithms and artificial neural networks
AntonioMMoraGarcia.html
PedroACastilloValdivieso.html
JuanJulianMerelo.html
EvaAlfaro-Cid.html
AnnaEsparcia-Alcazar.html
KennethCSharman.html
http___gpbib.cs.ucl.ac.uk_gecco2008_docs_p1243.pdf http://gpbib.cs.ucl.ac.uk/gecco2008/docs/p1243.pdf
http___dx.doi.org_10.1145_1389095.1389337 http://dx.doi.org/10.1145/1389095.1389337
Mora-Garcia:2010:EvoGAMES Evolving Bot's AI in Unreal
AntonioMMoraGarcia.html
JuanJulianMerelo.html
RamonMontoya.html
PabloGarcia-Sanchez.html
PedroACastilloValdivieso.html
JuanLuisJimenez.html
AnnaEsparcia-Alcazar.html
AnaisMartinez.html
http___dx.doi.org_10.1007_978-3-642-12239-2_18 http://dx.doi.org/10.1007/978-3-642-12239-2_18
Mora:2010:ijcnn Applying support vector machines and mutual information to book losses prediction
AntonioMMoraGarcia.html
LuisJavierHerreraMaldonado.html
JoseMiguelUrquizaOrtiz.html
IgnacioRojasRuiz.html
JuanJulianMerelo.html
http___dx.doi.org_10.1109_IJCNN.2010.5596710 http://dx.doi.org/10.1109/IJCNN.2010.5596710
moraglio:tio:gecco2004 Topological Interpretation of Crossover
AlbertoMoraglio.html
RiccardoPoli.html
http___privatewww.essex.ac.uk__amoragn_gecco2004fin.PDF http://privatewww.essex.ac.uk/~amoragn/gecco2004fin.PDF
http___dx.doi.org_10.1007_b98643 http://dx.doi.org/10.1007/b98643
http___dx.doi.org_10.1007_978-3-540-24854-5_131 http://dx.doi.org/10.1007/978-3-540-24854-5_131
Moraglio:CSM430 Geometric Landscape of Homologous Crossover for Syntactic Trees
AlbertoMoraglio.html
RiccardoPoli.html
http___cswww.essex.ac.uk_technical-reports_2005_csm-430.PDF http://cswww.essex.ac.uk/technical-reports/2005/csm-430.PDF
moraglio:2005:CEC Geometric Landscape of Homologous Crossover for Syntactic Trees
AlbertoMoraglio.html
RiccardoPoli.html
http___privatewww.essex.ac.uk__amoragn_cec2005fin.PDF http://privatewww.essex.ac.uk/~amoragn/cec2005fin.PDF
http___dx.doi.org_10.1109_CEC.2005.1554715 http://dx.doi.org/10.1109/CEC.2005.1554715
Moraglio:2005:evophd Geometric Unification of Evolutionary Algorithms
AlbertoMoraglio.html
http___www.vanhemert.co.uk_publications_EvoPhD2006.pdf http://www.vanhemert.co.uk/publications/EvoPhD2006.pdf
eurogp06:MoraglioPoliSeehuus Geometric Crossover for Biological Sequences
AlbertoMoraglio.html
RiccardoPoli.html
RolvSeehuus.html
http___cswww.essex.ac.uk_staff_rpoli_papers_eurogpalberto2006.pdf http://cswww.essex.ac.uk/staff/rpoli/papers/eurogpalberto2006.pdf
http___dx.doi.org_10.1007_11729976_11 http://dx.doi.org/10.1007/11729976_11
Moraglio:2007:FOGA Inbreeding Properties of Geometric Crossover and Non-geometric Recombinations
AlbertoMoraglio.html
RiccardoPoli.html
http___www.sigevo.org_foga-2007_program.html http://www.sigevo.org/foga-2007/program.html
http___dx.doi.org_10.1007_978-3-540-73482-6_1 http://dx.doi.org/10.1007/978-3-540-73482-6_1
eurogp07:moraglio Geometric Particle Swarm Optimization
AlbertoMoraglio.html
CeciliaDiChio.html
RiccardoPoli.html
http___dx.doi.org_10.1007_978-3-540-71605-1_12 http://dx.doi.org/10.1007/978-3-540-71605-1_12
Moraglio:thesis Towards a Geometric Unification of Evolutionary Algorithms
AlbertoMoraglio.html
http___eden.dei.uc.pt__moraglio_Thesis_final.pdf http://eden.dei.uc.pt/~moraglio/Thesis_final.pdf
http___ethos.bl.uk_OrderDetails.do_uin_uk.bl.ethos.446045 http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.446045
Moraglio:2010:EuroGP Geometric Differential Evolution on the Space of Genetic Programs
AlbertoMoraglio.html
SaraSilva.html
http___dx.doi.org_10.1007_978-3-642-12148-7_15 http://dx.doi.org/10.1007/978-3-642-12148-7_15
Moraglio:2011:ThRaSH Geometric Semantic Genetic Programming
AlbertoMoraglio.html
KrzysztofKrawiec.html
ColinGJohnson.html
http___www.thrash-workshop.org_slides_moraglio.pdf http://www.thrash-workshop.org/slides/moraglio.pdf
Moraglio:2011:GECCO Geometric nelder-mead algorithm on the space of genetic programs
AlbertoMoraglio.html
SaraSilva.html
http___dx.doi.org_10.1145_2001576.2001753 http://dx.doi.org/10.1145/2001576.2001753
Moraglio:2011:GECCOcomp Geometry of evolutionary algorithms
AlbertoMoraglio.html
http___dx.doi.org_10.1145_2001858.2002144 http://dx.doi.org/10.1145/2001858.2002144
Moraglio:2012:GP Proceedings of the 15th European Conference on Genetic Programming, EuroGP 2012
AlbertoMoraglio.html
SaraSilva.html
KrzysztofKrawiec.html
PenousalMachado.html
CarlosCotta.html
http___dx.doi.org_10.1007_978-3-642-29139-5 http://dx.doi.org/10.1007/978-3-642-29139-5
Moraglio:2012:CEC Evolving Recursive Programs using Non-recursive Scaffolding
AlbertoMoraglio.html
FernandoEstebanBarrilOtero.html
ColinGJohnson.html
SimonThompson.html
AlexAlvesFreitas.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.308.8964 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.308.8964
http___www.cs.kent.ac.uk_people_staff_aaf_pub_papers.dir_CEC-2012-Moraglio-Proc.pdf http://www.cs.kent.ac.uk/people/staff/aaf/pub_papers.dir/CEC-2012-Moraglio-Proc.pdf
http___dx.doi.org_10.1109_CEC.2012.6256545 http://dx.doi.org/10.1109/CEC.2012.6256545
conf/ppsn/MoraglioKJ12 Geometric Semantic Genetic Programming
AlbertoMoraglio.html
KrzysztofKrawiec.html
ColinGJohnson.html
http___dx.doi.org_10.1007_978-3-642-32937-1_3 http://dx.doi.org/10.1007/978-3-642-32937-1_3
Moraglio:2013:EC Geometric Differential Evolution for Combinatorial and Programs Spaces
AlbertoMoraglio.html
JulianTogelius.html
SaraSilva.html
https___ore.exeter.ac.uk_repository_bitstream_handle_10871_13627_Geometric_20differential_20evolution_20for_20combinatorial_20and_20programs_20spaces.pdf https://ore.exeter.ac.uk/repository/bitstream/handle/10871/13627/Geometric%20differential%20evolution%20for%20combinatorial%20and%20programs%20spaces.pdf
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.298.3320 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.298.3320
http___dx.doi.org_10.1162_EVCO_a_00099 http://dx.doi.org/10.1162/EVCO_a_00099
Moraglio:2013:GECCO Runtime analysis of mutation-based geometric semantic genetic programming for basis functions regression
AlbertoMoraglio.html
AndreaMambrini.html
http___dx.doi.org_10.1145_2463372.2463492 http://dx.doi.org/10.1145/2463372.2463492
Moraglio:2014:SMGP Geometric Semantic Grammatical Evolution
AlbertoMoraglio.html
JamesMcDermott.html
MichaelO'Neill.html
http___www.cs.put.poznan.pl_kkrawiec_smgp2014_uploads_Site_Moraglio.pdf http://www.cs.put.poznan.pl/kkrawiec/smgp2014/uploads/Site/Moraglio.pdf
Moraglio:2014:SMGP2 An Efficient Implementation of GSGP using Higher-Order Functions and Memoization
AlbertoMoraglio.html
http___www.cs.put.poznan.pl_kkrawiec_smgp2014_uploads_Site_Moraglio2.pdf http://www.cs.put.poznan.pl/kkrawiec/smgp2014/uploads/Site/Moraglio2.pdf
Moraglio:2015:GECCOcomp Semantic Genetic Programming
AlbertoMoraglio.html
KrzysztofKrawiec.html
http___doi.acm.org_10.1145_2739482.2756587 http://doi.acm.org/10.1145/2739482.2756587
http___dx.doi.org_10.1145_2739482.2756587 http://dx.doi.org/10.1145/2739482.2756587
Moraglio:2016:GECCOcomp Semantic Genetic Programming
AlbertoMoraglio.html
KrzysztofKrawiec.html
http___dx.doi.org_10.1145_2908961.2926990 http://dx.doi.org/10.1145/2908961.2926990
Moraglio:2017:GECCO Geometric Semantic Genetic Programming for Recursive Boolean Programs
AlbertoMoraglio.html
KrzysztofKrawiec.html
http___doi.acm.org_10.1145_3071178.3071266 http://doi.acm.org/10.1145/3071178.3071266
http___dx.doi.org_10.1145_3071178.3071266 http://dx.doi.org/10.1145/3071178.3071266
https___ore.exeter.ac.uk_repository_bitstream_10871_27415_1_chris6.pdf https://ore.exeter.ac.uk/repository/bitstream/10871/27415/1/chris6.pdf
Moraglio:2018:hbge Geometric Semantic Grammatical Evolution
AlbertoMoraglio.html
JamesMcDermott.html
MichaelO'Neill.html
http___dx.doi.org_10.1007_978-3-319-78717-6_7 http://dx.doi.org/10.1007/978-3-319-78717-6_7
Moraglio:2019:GECCOcomp Semantic genetic programming
AlbertoMoraglio.html
KrzysztofKrawiec.html
http___dx.doi.org_10.1145_3319619.3323378 http://dx.doi.org/10.1145/3319619.3323378
Moraglio:2020:GECCOcomp Semantic Genetic Programming
AlbertoMoraglio.html
KrzysztofKrawiec.html
https___doi.org_10.1145_3377929.3389884 https://doi.org/10.1145/3377929.3389884
http___dx.doi.org_10.1145_3377929.3389884 http://dx.doi.org/10.1145/3377929.3389884
morales:2004:MICAI Symbolic Regression Problems by Genetic Programming with Multi-branches
CarlosOliver-Morales.html
KatyaRodriguez-Vazquez.html
http___link.springer.com_chapter_10.1007_978-3-540-24694-7_74 http://link.springer.com/chapter/10.1007/978-3-540-24694-7_74
http___dx.doi.org_10.1007_978-3-540-24694-7_74 http://dx.doi.org/10.1007/978-3-540-24694-7_74
Morales-Alvarado:thesis Automated Improvement of Software Design by Search-Based Refactoring
RodrigoMoralesAlvarado.html
https___publications.polymtl.ca_2878_ https://publications.polymtl.ca/2878/
https___publications.polymtl.ca_2878_1_2017_RodrigoMoralesAlvarado.pdf https://publications.polymtl.ca/2878/1/2017_RodrigoMoralesAlvarado.pdf
MORAVEJ:2020:GSD Groundwater level simulation and forecasting using interior search algorithm-least square support vector regression (ISA-LSSVR)
MojtabaMoravej.html
PouriaAmani.html
Seyed-MohammadHosseini-Moghari.html
http___dx.doi.org_10.1016_j.gsd.2020.100447 http://dx.doi.org/10.1016/j.gsd.2020.100447
http___www.sciencedirect.com_science_article_pii_S2352801X20302411 http://www.sciencedirect.com/science/article/pii/S2352801X20302411
DBLP:journals/corr/abs-2108-00382 SignalGP-Lite: Event Driven Genetic Programming Library for Large-Scale Artificial Life Applications
MatthewAndresMoreno.html
SantiagoRodriguezPapa.html
AlexanderLalejini.html
CharlesOfria.html
https___arxiv.org_abs_2108.00382 https://arxiv.org/abs/2108.00382
https___dblp.org_rec_journals_corr_abs-2108-00382.bib https://dblp.org/rec/journals/corr/abs-2108-00382.bib
Moreno:2023:GPEM Matchmaker, matchmaker, make me a match: geometric, variational, and evolutionary implications of criteria for tag affinity
MatthewAndresMoreno.html
AlexanderLalejini.html
CharlesOfria.html
https___rdcu.be_c8q7u https://rdcu.be/c8q7u
http___dx.doi.org_10.1007_s10710-023-09448-0 http://dx.doi.org/10.1007/s10710-023-09448-0
https___static-content.springer.com_esm_art_3A10.1007_2Fs10710-023-09448-0_MediaObjects_10710_2023_9448_MOESM1_ESM.pdf https://static-content.springer.com/esm/art%3A10.1007%2Fs10710-023-09448-0/MediaObjects/10710_2023_9448_MOESM1_ESM.pdf
https___github.com_devosoft_Empirical https://github.com/devosoft/Empirical
https___github.com_amlalejini_Exploring-tag-matching-metrics-in-SignalGP_tree_1.0 https://github.com/amlalejini/Exploring-tag-matching-metrics-in-SignalGP/tree/1.0
https___github.com_mmore500_tag-olympics_tree_v1.1.1 https://github.com/mmore500/tag-olympics/tree/v1.1.1
Moreno:2023:GPTP Methods for Rich Phylogenetic Inference Over Distributed Sexual Populations
MatthewAndresMoreno.html
http___dx.doi.org_10.1007_978-981-99-8413-8_7 http://dx.doi.org/10.1007/978-981-99-8413-8_7
moreno:2023:GECCOcomp Tag Affinity Criteria Influence Adaptive Evolution
MatthewAndresMoreno.html
AlexanderLalejini.html
CharlesOfria.html
http___dx.doi.org_10.1145_3583133.3595834 http://dx.doi.org/10.1145/3583133.3595834
conf/iwcls/Moreno-TorresLGB09 On the Homogenization of Data from Two Laboratories Using Genetic Programming
JoseGarciaMoreno-Torres.html
XavierLlora.html
DavidEGoldberg.html
RohitBhargava.html
http___dx.doi.org_10.1007_978-3-642-17508-4_12 http://dx.doi.org/10.1007/978-3-642-17508-4_12
conf/isda/Moreno-TorresLG09 Binary Representation in Gene Expression Programming: Towards a Better Scalability
JoseGarciaMoreno-Torres.html
XavierLlora.html
DavidEGoldberg.html
http___dx.doi.org_10.1109_ISDA.2009.33 http://dx.doi.org/10.1109/ISDA.2009.33
MorenoTorres2010 Repairing fractures between data using genetic programming-based feature extraction: A case study in cancer diagnosis
JoseGarciaMoreno-Torres.html
XavierLlora.html
DavidEGoldberg.html
RohitBhargava.html
http___dx.doi.org_10.1016_j.ins.2010.09.018 http://dx.doi.org/10.1016/j.ins.2010.09.018
http___www.sciencedirect.com_science_article_pii_S0020025510004585 http://www.sciencedirect.com/science/article/pii/S0020025510004585
http___www.sciencedirect.com_science_article_B6V0C-515SRJV-1_2_ba19f0969d5d756d2abd12ac6f843d9f http://www.sciencedirect.com/science/article/B6V0C-515SRJV-1/2/ba19f0969d5d756d2abd12ac6f843d9f
Moreno-Torres:2010:ISDA A preliminary study on overlapping and data fracture in imbalanced domains by means of Genetic Programming-based feature extraction
JoseGarciaMoreno-Torres.html
FranciscoHerrera.html
http___dx.doi.org_10.1109_ISDA.2010.5687214 http://dx.doi.org/10.1109/ISDA.2010.5687214
Thesis_JGMorenoTorres_2013 Dataset Shift in Classification: Terminology, Benchmarks and Methods
JoseGarciaMoreno-Torres.html
http___sci2s.ugr.es_publications_ficheros_Thesis_JGMorenoTorres_2013.pdf http://sci2s.ugr.es/publications/ficheros/Thesis_JGMorenoTorres_2013.pdf
http___hdl.handle.net_10481_29456 http://hdl.handle.net/10481/29456
MorenoSalinas:2015:IFAC-PapersOnLine Symbolic Regression for Marine Vehicles Identification
DMoreno-Salinas.html
EBesada-Portas.html
JALopez-Orozco.html
DChaos.html
JesusManueldelaCruz.html
JAranda.html
http___dx.doi.org_10.1016_j.ifacol.2015.10.282 http://dx.doi.org/10.1016/j.ifacol.2015.10.282
http___www.sciencedirect.com_science_article_pii_S2405896315021734 http://www.sciencedirect.com/science/article/pii/S2405896315021734
Mori:2005:SMAPIP A Novel Diversity Measure of Genetic Programming
NaokiMori.html
http___www.smapip.is.tohoku.ac.jp__smapip_2005_NHC_SMAPIP_ExtendedAbstracts_NaokiMori.pdf http://www.smapip.is.tohoku.ac.jp/~smapip/2005/NHC+SMAPIP/ExtendedAbstracts/NaokiMori.pdf
Mori:2007:IES How Different are Genetic Programs? Entropy Methods for Studying Diversity and Complexity in Genetic Programming
NaokiMori.html
RI_Bob_McKay.html
NguyenXuanHoai.html
DarylEssam.html
http___citeseerx.ist.psu.edu_viewdoc_download_doi_10.1.1.107.9011_rep_rep1_type_pdf http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.107.9011&rep=rep1&type=pdf
https___kaken.nii.ac.jp_ja_grant_KAKENHI-PROJECT-18700227_ https://kaken.nii.ac.jp/ja/grant/KAKENHI-PROJECT-18700227/
https___cir.nii.ac.jp_crid_1574231875440322560 https://cir.nii.ac.jp/crid/1574231875440322560
Mori:2009:dcaibscaal A New Method for Simplifying Algebraic Expressions in Genetic Programming Called Equivalent Decision Simplification
NaokiMori.html
RI_Bob_McKay.html
NguyenXuanHoai.html
DarylEssam.html
SaoriTakeuchi.html
http___dx.doi.org_10.1007_978-3-642-02481-8_24 http://dx.doi.org/10.1007/978-3-642-02481-8_24
mori:2016:RSFM Evolution of Day Trade Agent Strategy by Means of Genetic Programming with Machine Learning
NaokiMori.html
http___link.springer.com_chapter_10.1007_978-4-431-55057-0_5 http://link.springer.com/chapter/10.1007/978-4-431-55057-0_5
http___dx.doi.org_10.1007_978-4-431-55057-0_5 http://dx.doi.org/10.1007/978-4-431-55057-0_5
Moriarty:1998:henn Hierarchical Evolution of Neural Networks
DavidEMoriarty.html
RistoMiikkulainen.html
http___nn.cs.utexas.edu_downloads_papers_moriarty.icec98.ps.gz http://nn.cs.utexas.edu/downloads/papers/moriarty.icec98.ps.gz
http___dx.doi.org_10.1109_ICEC.1998.699793 http://dx.doi.org/10.1109/ICEC.1998.699793
MORIKAWA:2019:PM Job Shop Scheduling by Branch and Bound Using Genetic Programming
KatsumiMorikawa.html
KeisukeNagasawa.html
KatsuhikoTakahashi.html
http___dx.doi.org_10.1016_j.promfg.2020.01.359 http://dx.doi.org/10.1016/j.promfg.2020.01.359
http___www.sciencedirect.com_science_article_pii_S2351978920304297 http://www.sciencedirect.com/science/article/pii/S2351978920304297
conf/iscas/MoritzLH07 Nonlinear Compensation for High Power Amplifiers using Genetic Programming
RobinMoritz.html
HenryLeung.html
XinpingHuang.html
http___dx.doi.org_10.1109_ISCAS.2007.378853 http://dx.doi.org/10.1109/ISCAS.2007.378853
Morizumi:2012:IJECS Multiagent system based on genetic access matrix analysis
TetsuyaMorizumi.html
KazuhiroSuzuki.html
MasatoNoto.html
HirotsuguKinoshita.html
http___www.academic-journals.org_ojs2_index.php_ijecs_article_view_1098 http://www.academic-journals.org/ojs2/index.php/ijecs/article/view/1098
http___www.academic-journals.org_ojs2_index.php_ijecs_article_viewFile_1098_118 http://www.academic-journals.org/ojs2/index.php/ijecs/article/viewFile/1098/118
http___dx.doi.org_10.7903_ijecs.1098 http://dx.doi.org/10.7903/ijecs.1098
moroni:2000:A ArTbitration
ArtemisMoroni.html
FernandoJoseVonZuben.html
JonatasManzolli.html
Morrison:1994:ibs Development of a Prototype Intelligent Browsing System, utilising Boolean Query Generation using Genetic Programming
DanMorrison.html
Mosayebi:2020:GI9 Tuning Genetic Algorithm Parameters using Design of Experiments
MohsenMosayebi.html
ManbirSSodhi.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_gecco2020_companion_files_wksp176s2-file1.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/gecco2020/companion_files/wksp176s2-file1.pdf
http___dx.doi.org_10.1145_3377929.3398136 http://dx.doi.org/10.1145/3377929.3398136
Moscato2019 Marketing Meets Data Science: Bridging the Gap
PabloMoscato.html
NatalieJanedeVries.html
http___dx.doi.org_10.1007_978-3-030-06222-4_1 http://dx.doi.org/10.1007/978-3-030-06222-4_1
Moscato:2020:CEC Analytic Continued Fractions for Regression: Results on 352 datasets from the physical sciences
PabloMoscato.html
HaoyuanSun.html
MohammadNazmulHaque.html
http___dx.doi.org_10.1109_CEC48606.2020.9185564 http://dx.doi.org/10.1109/CEC48606.2020.9185564
Moscato:2020:superconductor Learning to extrapolate using continued fractions: Predicting the critical temperature of superconductor materials
PabloMoscato.html
MohammadNazmulHaque.html
KevinHuang.html
JuliaSloan.html
JonCdeOliveira.html
https___arxiv.org_abs_2012.03774 https://arxiv.org/abs/2012.03774
http___dx.doi.org_10.48550_ARXIV.2012.03774 http://dx.doi.org/10.48550/ARXIV.2012.03774
MOSCATO:2021:ESA Analytic Continued Fractions for Regression: A Memetic Algorithm Approach
PabloMoscato.html
HaoyuanSun.html
MohammadNazmulHaque.html
https___arxiv.org_abs_2001.00624 https://arxiv.org/abs/2001.00624
https___www.sciencedirect.com_science_article_pii_S0957417421004590 https://www.sciencedirect.com/science/article/pii/S0957417421004590
http___dx.doi.org_10.1016_j.eswa.2021.115018 http://dx.doi.org/10.1016/j.eswa.2021.115018
MOSCATO:2022:ESA Multiple regression techniques for modelling dates of first performances of Shakespeare-era plays
PabloMoscato.html
HughCraig.html
GabrielEgan.html
MohammadNazmulHaque.html
KevinHuang.html
JuliaSloan.html
JonathonCorralesdeOliveira.html
https___www.sciencedirect.com_science_article_pii_S0957417422003414 https://www.sciencedirect.com/science/article/pii/S0957417422003414
http___dx.doi.org_10.1016_j.eswa.2022.116903 http://dx.doi.org/10.1016/j.eswa.2022.116903
Moscovici:2016:GECCOcomp Adding Program Length Bias to the Lexicase and Tournament Selection Algorithms
EvaMoscovici.html
http___dx.doi.org_10.1145_2908961.2931668 http://dx.doi.org/10.1145/2908961.2931668
Moskowitz:thesis Automatically Defined Templates for Improved Prediction of Non-stationary, Nonlinear Time Series in Genetic Programming
DavidMoskowitz.html
http___nsuworks.nova.edu_gscis_etd_953_ http://nsuworks.nova.edu/gscis_etd/953/
http___nsuworks.nova.edu_cgi_viewcontent.cgi_article_1954_context_gscis_etd http://nsuworks.nova.edu/cgi/viewcontent.cgi?article=1954&context=gscis_etd
Moskowitz:2018:GPEM Implementing the template method pattern in genetic programming for improved time series prediction
DavidMoskowitz.html
https___link.springer.com_article_10.1007_s10710-018-9320-9 https://link.springer.com/article/10.1007/s10710-018-9320-9
http___dx.doi.org_10.1007_s10710-018-9320-9 http://dx.doi.org/10.1007/s10710-018-9320-9
Mostafavi:2013:Energy A hybrid computational approach to estimate solar global radiation: An empirical evidence from Iran
ElhamSadatMostafavi.html
SaraSaeidiRamiyani.html
RahimSarvar.html
HashemIzadiMoud.html
SeyyedMohammadMousavi.html
http___dx.doi.org_10.1016_j.energy.2012.11.023 http://dx.doi.org/10.1016/j.energy.2012.11.023
http___www.sciencedirect.com_science_article_pii_S0360544212008845 http://www.sciencedirect.com/science/article/pii/S0360544212008845
Mostafavi:2013:ECM A novel machine learning approach for estimation of electricity demand: An empirical evidence from Thailand
ElhamSadatMostafavi.html
SeyyedImanMostafavi.html
ArefehJaafari.html
FaribaHosseinpour.html
http___dx.doi.org_10.1016_j.enconman.2013.06.031 http://dx.doi.org/10.1016/j.enconman.2013.06.031
http___www.sciencedirect.com_science_article_pii_S0196890413003439 http://www.sciencedirect.com/science/article/pii/S0196890413003439
MotaDias:masters Automatic Synthesis of Digital Microcontroller programs by Genetic Programming
DouglasMotaDias.html
http___www.maxwell.lambda.ele.puc-rio.br_cgi-bin_db2www_PRG_0651.D2W_SHOW_Mat__Sys__Nr__Fun__CdLinPrg_en_Cont_6666_en http://www.maxwell.lambda.ele.puc-rio.br/cgi-bin/db2www/PRG_0651.D2W/SHOW?Mat=&Sys=&Nr=&Fun=&CdLinPrg=en&Cont=6666:en
http___dx.doi.org_10.17771_PUCRio.acad.6666 http://dx.doi.org/10.17771/PUCRio.acad.6666
MotaDias:2006:GSP Automatic Synthesis of Microcontroller Assembly Code Through Linear Genetic Programming
DouglasMotaDias.html
MarcoAurelioCavalcantiPacheco.html
JoseFMAmaral.html
http___dx.doi.org_10.1007_3-540-32498-4_9 http://dx.doi.org/10.1007/3-540-32498-4_9
MotaDias:2006:KES Genetic Programming of a Microcontrolled Water Bath Plant
DouglasMotaDias.html
MarcoAurelioCavalcantiPacheco.html
JoseFMAmaral.html
http___dx.doi.org_10.1007_11893011_40 http://dx.doi.org/10.1007/11893011_40
MotaDias:2009:cec Toward a Quantum-Inspired Linear Genetic Programming Model
DouglasMotaDias.html
MarcoAurelioCavalcantiPacheco.html
http___dx.doi.org_10.1109_CEC.2009.4983145 http://dx.doi.org/10.1109/CEC.2009.4983145
MotaDias:doctorate Quantum-Inspired Linear Genetic Programming
DouglasMotaDias.html
http___www.maxwell.lambda.ele.puc-rio.br_Busca_etds.php_strSecao_resultado_nrSeq_17544_2 http://www.maxwell.lambda.ele.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=17544@2
http___www.maxwell.lambda.ele.puc-rio.br_17544_17544_1.PDF http://www.maxwell.lambda.ele.puc-rio.br/17544/17544_1.PDF
http___www.maxwell.lambda.ele.puc-rio.br_17544_17544_2.PDF http://www.maxwell.lambda.ele.puc-rio.br/17544/17544_2.PDF
http___www.maxwell.lambda.ele.puc-rio.br_17544_17544_3.PDF http://www.maxwell.lambda.ele.puc-rio.br/17544/17544_3.PDF
http___www.maxwell.lambda.ele.puc-rio.br_17544_17544_4.PDF http://www.maxwell.lambda.ele.puc-rio.br/17544/17544_4.PDF
http___www.maxwell.lambda.ele.puc-rio.br_17544_17544_5.PDF http://www.maxwell.lambda.ele.puc-rio.br/17544/17544_5.PDF
http___www.maxwell.lambda.ele.puc-rio.br_17544_17544_6.PDF http://www.maxwell.lambda.ele.puc-rio.br/17544/17544_6.PDF
http___www.maxwell.lambda.ele.puc-rio.br_17544_17544_7.PDF http://www.maxwell.lambda.ele.puc-rio.br/17544/17544_7.PDF
Dias:2011:SQDGPbQLGP Self-Assembly Quantum Dots Growth Prediction by Quantum-Inspired Linear Genetic Programming
DouglasMotaDias.html
AndersonPiresSingulani.html
MarcoAurelioCavalcantiPacheco.html
PatriciaLSouza.html
MauricioPPires.html
OmarParanaibaVilelaNeto.html
http___dx.doi.org_10.1109_CEC.2011.5949871 http://dx.doi.org/10.1109/CEC.2011.5949871
Dias:2012:CEC Describing Quantum-Inspired Linear Genetic Programming from Symbolic Regression Problems
DouglasMotaDias.html
MarcoAurelioCavalcantiPacheco.html
http___dx.doi.org_10.1109_CEC.2012.6256634 http://dx.doi.org/10.1109/CEC.2012.6256634
Dias:2013:QIL Quantum-Inspired Linear Genetic Programming as a Knowledge Management System
DouglasMotaDias.html
MarcoAurelioCavalcantiPacheco.html
http___comjnl.oxfordjournals.org_content_56_9_1043.full.pdf_html http://comjnl.oxfordjournals.org/content/56/9/1043.full.pdf+html
http___comjnl.oxfordjournals.org_ http://comjnl.oxfordjournals.org/
http___dx.doi.org_10.1093_comjnl_bxs108 http://dx.doi.org/10.1093/comjnl/bxs108
http___dx.doi.org_10.1093_comjnl_bxs108 http://dx.doi.org/10.1093/comjnl/bxs108
DBLP:conf/iccp2/MotoraS22 Detecting Fraudulent Bank Transactions Using Deep Learning Enhanced with Genetic Programming
Paul-GheorgheMotora.html
RaduRazvanSlavescu.html
https___doi.org_10.1109_ICCP56966.2022.10053953 https://doi.org/10.1109/ICCP56966.2022.10053953
http___dx.doi.org_10.1109_ICCP56966.2022.10053953 http://dx.doi.org/10.1109/ICCP56966.2022.10053953
https___dblp.org_rec_conf_iccp2_MotoraS22.bib https://dblp.org/rec/conf/iccp2/MotoraS22.bib
Mototsuka:2013:IWCIA Genetic programming with multiple initial populations generated by simulated annealing
TakuyaMototsuka.html
AkiraHara.html
Jun-ichiKushida.html
TetsuyukiTakahama.html
http___dx.doi.org_10.1109_IWCIA.2013.6624797 http://dx.doi.org/10.1109/IWCIA.2013.6624797
oai:biomedcentral.com:1471-2105-7-39 GPNN: Power studies and applications of a neural network method for detecting gene-gene interactions in studies of human disease
AlisonAMotsinger.html
StephenLLee.html
GeorgeMellick.html
MarylynDRitchie.html
http___www.biomedcentral.com_1471-2105_7_39 http://www.biomedcentral.com/1471-2105/7/39
http___www.biomedcentral.com_content_pdf_1471-2105-7-39.pdf http://www.biomedcentral.com/content/pdf/1471-2105-7-39.pdf
http___dx.doi.org_10.1186_1471-2105-7-39 http://dx.doi.org/10.1186/1471-2105-7-39
1144163 Alternative cross-over strategies and selection techniques for grammatical evolution optimized neural networks
AlisonAMotsinger.html
LanceWHahn.html
ScottMDudek.html
KelliKRyckman.html
MarylynDRitchie.html
http___gpbib.cs.ucl.ac.uk_gecco2006_docs_p947.pdf http://gpbib.cs.ucl.ac.uk/gecco2006/docs/p947.pdf
http___dx.doi.org_10.1145_1143997.1144163 http://dx.doi.org/10.1145/1143997.1144163
conf/cibcb/MotsingerRDR06 Understanding the Evolutionary Process of Grammatical Evolution Neural Networks for Feature Selection in Genetic Epidemiology
AlisonAMotsinger.html
DavidMReif.html
ScottMDudek.html
MarylynDRitchie.html
http___dx.doi.org_10.1109_CIBCB.2006.330945 http://dx.doi.org/10.1109/CIBCB.2006.330945
conf/cibcb/MotsingerRFDR07 Linkage Disequilibrium in Genetic Association Studies Improves the Performance of Grammatical Evolution Neural Networks
AlisonAMotsinger.html
DavidMReif.html
TheresaJFanelli.html
AnnaCDavis.html
MarylynDRitchie.html
http___ieeexplore.ieee.org_stamp_stamp.jsp_arnumber_04221197 http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=04221197
Motsinger-Reif:2008:BDM Neural networks for genetic epidemiology: past, present, and future
AlisonAMotsinger.html
MarylynDRitchie.html
http___dx.doi.org_10.1186_1756-0381-1-3 http://dx.doi.org/10.1186/1756-0381-1-3
Motsinger-Reif:2008:BMCrn Power of grammatical evolution neural networks to detect gene-gene interactions in the presence of error
AlisonAMotsinger.html
TheresaJFanelli.html
AnnaCDavis.html
MarylynDRitchie.html
http___dx.doi.org_10.1186_1756-0500-1-65 http://dx.doi.org/10.1186/1756-0500-1-65
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.275.7964 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.275.7964
ftp___ftp.ncbi.nlm.nih.gov_pub_pmc_f2_e4_BMC_Res_Notes_2008_Aug_13_1_65.tar.gz ftp://ftp.ncbi.nlm.nih.gov/pub/pmc/f2/e4/BMC_Res_Notes_2008_Aug_13_1_65.tar.gz
Motsinger-Reif:2010:BDM Grammatical evolution decision trees for detecting gene-gene interactions
AlisonAMotsinger.html
SushamnaDeodhar.html
StaceyJWinham.html
NicholasEHardison.html
http___www.biodatamining.org_content_3_1_8 http://www.biodatamining.org/content/3/1/8
http___dx.doi.org_10.1186_1756-0381-3-8 http://dx.doi.org/10.1186/1756-0381-3-8
Motta:2018:CEC A Hybrid Grammar-based Genetic Programming for Symbolic Regression Problems
FlavioAndradeAmaralMotta.html
JoaoMarcosdeFreitas.html
FelipeSouzaTeixeira.html
HederSoaresBernardino.html
ItamarLeitedeOliveira.html
HelioJCBarbosa.html
http___dx.doi.org_10.1109_CEC.2018.8477826 http://dx.doi.org/10.1109/CEC.2018.8477826
Motwani:2022:TSE Quality of Automated Program Repair on Real-World Defects
ManishMotwani.html
MauricioSoto.html
YuriyBrun.html
ReneJust.html
ClaireLeGoues.html
https___doi.org_10.1109_TSE.2020.2998785 https://doi.org/10.1109/TSE.2020.2998785
http___dx.doi.org_10.1109_TSE.2020.2998785 http://dx.doi.org/10.1109/TSE.2020.2998785
Motwani:2023:ICSE Better Automatic Program Repair by Using Bug Reports and Tests Together
ManishMotwani.html
YuriyBrun.html
https___people.cs.umass.edu__brun_pubs_pubs_Motwani23icse.pdf https://people.cs.umass.edu/~brun/pubs/pubs/Motwani23icse.pdf
Moudrik:2017:ICTAI Algorithm Discovery with Monte-Carlo Search: Controlling the Size
JosefMoudrik.html
TomasKren.html
RomanNeruda.html
http___dx.doi.org_10.1109_ICTAI.2017.00067 http://dx.doi.org/10.1109/ICTAI.2017.00067
Mounir:2021:ICTAI Constrained prediction time random forests using equivalent trees and genetic programming: application to fall detection model embedding
AtiqMounir.html
PeignierSergio.html
MougeotMathilde.html
http___dx.doi.org_10.1109_ICTAI52525.2021.00109 http://dx.doi.org/10.1109/ICTAI52525.2021.00109
Mousavi:1997:iscdd Intelligent System for Customer Driven Design
AMousavi.html
AGunasekaran.html
PAdi.html
Mousavi:2015:hbgpa On the Application of Genetic Programming for New Generation of Ground Motion Prediction Equations
MehdiMousavi.html
AlirezaAzarbakht.html
SaharalsadatRahpeyma.html
AliFarhadi.html
http___dx.doi.org_10.1007_978-3-319-20883-1_11 http://dx.doi.org/10.1007/978-3-319-20883-1_11
Mousavi:2010:StruEngMech Modeling of Compressive Strength of HPC Mixes Using a Combined Algorithm of Genetic Programming and Orthogonal Least Squares
SeyyedMohammadMousavi.html
AHGandomi.html
AHAlavi.html
MajidVesaliMahmood.html
http___technopress.kaist.ac.kr__page_container_journal_sem_volume_36_num_2 http://technopress.kaist.ac.kr/?page=container&journal=sem&volume=36&num=2
http___dx.doi.org_10.12989_sem.2010.36.2.225 http://dx.doi.org/10.12989/sem.2010.36.2.225
Mousavi:2010:StruEngMech2 A Data Mining Approach to Compressive Strength of CFRP-Confined Concrete Cylinders
SeyyedMohammadMousavi.html
AHAlavi.html
AHGandomi.html
MiladArabEsmaeili.html
MostafaGandomi.html
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http___technopress.kaist.ac.kr__page_container_journal_sem_volume_36_num_6 http://technopress.kaist.ac.kr/?page=container&journal=sem&volume=36&num=6
http___dx.doi.org_10.12989_sem.2010.36.6.759 http://dx.doi.org/10.12989/sem.2010.36.6.759
Mousavi2011324 A hybrid computational approach to formulate soil deformation moduli obtained from PLT
SeyyedMohammadMousavi.html
AHAlavi.html
AliMollahasani.html
AHGandomi.html
http___dx.doi.org_10.1016_j.enggeo.2011.09.005 http://dx.doi.org/10.1016/j.enggeo.2011.09.005
http___www.sciencedirect.com_science_article_pii_S0013795211002183 http://www.sciencedirect.com/science/article/pii/S0013795211002183
Mousavi:2011:JESS Nonlinear genetic-based simulation of soil shear strength parameters
SeyyedMohammadMousavi.html
AHAlavi.html
AHGandomi.html
AliMollahasani.html
http___link.springer.com_article_10.1007_2Fs12040-011-0119-9 http://link.springer.com/article/10.1007%2Fs12040-011-0119-9
http___dx.doi.org_10.1007_s12040-011-0119-9 http://dx.doi.org/10.1007/s12040-011-0119-9
journals/aes/MousaviAGAB12 A new predictive model for compressive strength of HPC using gene expression programming
SeyyedMohammadMousavi.html
PejmanAminian.html
AHGandomi.html
AHAlavi.html
HamedBolandi.html
http___www.sciencedirect.com_science_article_pii_S0965997811002535 http://www.sciencedirect.com/science/article/pii/S0965997811002535
http___dx.doi.org_10.1016_j.advengsoft.2011.09.014 http://dx.doi.org/10.1016/j.advengsoft.2011.09.014
Mousavi:2013:EwC Formulation of soil angle of shearing resistance using a hybrid GP and OLS method
SeyyedMohammadMousavi.html
AHAlavi.html
AliMollahasani.html
AHGandomi.html
MiladArabEsmaeili.html
http___link.springer.com_article_10.1007_2Fs00366-011-0242-x http://link.springer.com/article/10.1007%2Fs00366-011-0242-x
http___dx.doi.org_10.1007_s00366-011-0242-x http://dx.doi.org/10.1007/s00366-011-0242-x
journals/candie/MousaviMH14 Gene expression programming as a basis for new generation of electricity demand prediction models
SeyyedMohammadMousavi.html
ElhamSadatMostafavi.html
FaribaHosseinpour.html
http___dx.doi.org_10.1016_j.cie.2014.05.010 http://dx.doi.org/10.1016/j.cie.2014.05.010
Mousavi:2014:KS A Novel Approach to Dynamic Portfolio Trading System Using Multitree Genetic Programming
SomayehMousavi.html
AkbarEsfahanipour.html
MohammadHosseinFazelZarandi.html
http___www.sciencedirect.com_science_article_pii_S0950705114001403 http://www.sciencedirect.com/science/article/pii/S0950705114001403
http___dx.doi.org_10.1016_j.knosys.2014.04.018 http://dx.doi.org/10.1016/j.knosys.2014.04.018
Mousavi:2015:ASC MGP-INTACTSKY: Multitree Genetic Programming-based learning of INTerpretable and ACcurate TSK sYstems for dynamic portfolio trading
SomayehMousavi.html
AkbarEsfahanipour.html
MohammadHosseinFazelZarandi.html
http___dx.doi.org_10.1016_j.asoc.2015.05.021 http://dx.doi.org/10.1016/j.asoc.2015.05.021
Mousavi:2021:GECCOcomp Structural Damage Identification under Non-linear EOV Effects Using Genetic Programming
MohsenMousavi.html
AHGandomi.html
MagdAbdelWahab.html
http___dx.doi.org_10.1145_3449726.3459569 http://dx.doi.org/10.1145/3449726.3459569
Mousavi:2015:Measurement Using measured daily meteorological parameters to predict daily solar radiation
SeyyedMohammadMousavi.html
ElhamSMostafavi.html
AlirezaJaafari.html
ArefehJaafari.html
FaribaHosseinpour.html
http___dx.doi.org_10.1016_j.measurement.2015.08.004 http://dx.doi.org/10.1016/j.measurement.2015.08.004
http___www.sciencedirect.com_science_article_pii_S0263224115004017 http://www.sciencedirect.com/science/article/pii/S0263224115004017
mousavi:2015:EE Towards estimation of electricity demand utilizing a robust multi-gene genetic programming technique
SeyyedMohammadMousavi.html
ElhamSadatMostafavi.html
FaribaHosseinpour.html
http___link.springer.com_article_10.1007_s12053-015-9343-5 http://link.springer.com/article/10.1007/s12053-015-9343-5
http___dx.doi.org_10.1007_s12053-015-9343-5 http://dx.doi.org/10.1007/s12053-015-9343-5
MousaviAstarabadi:2015:GECCOcomp Avoiding Overfitting in Symbolic Regression Using the First Order Derivative of GP Trees
SamanehSadatMousaviAstarabadi.html
MohammadMehdiEbadzadeh.html
http___doi.acm.org_10.1145_2739482.2764662 http://doi.acm.org/10.1145/2739482.2764662
http___dx.doi.org_10.1145_2739482.2764662 http://dx.doi.org/10.1145/2739482.2764662
MOUSAVIASTARABADI:2018:ASC A decomposition method for symbolic regression problems
SamanehSadatMousaviAstarabadi.html
MohammadMehdiEbadzadeh.html
http___dx.doi.org_10.1016_j.asoc.2017.10.041 http://dx.doi.org/10.1016/j.asoc.2017.10.041
http___www.sciencedirect.com_science_article_pii_S1568494617306555 http://www.sciencedirect.com/science/article/pii/S1568494617306555
MOUSAVIASTARABADI:2019:IS Genetic programming performance prediction and its application for symbolic regression problems
SamanehSadatMousaviAstarabadi.html
MohammadMehdiEbadzadeh.html
http___www.sciencedirect.com_science_article_pii_S002002551930578X http://www.sciencedirect.com/science/article/pii/S002002551930578X
http___dx.doi.org_10.1016_j.ins.2019.06.040 http://dx.doi.org/10.1016/j.ins.2019.06.040
Moussa:2013:IJAPM High Energy Hadronic Collisions Using Neural Network and Genetic Programming Techniques
MoaazAMoussa.html
http___dx.doi.org_10.7763_IJAPM.2013.V3.195 http://dx.doi.org/10.7763/IJAPM.2013.V3.195
journals/ijon/MoyanoPFV21 Performing multi-target regression via gene expression programming-based ensemble models
JoseMMoyano.html
OscarGabrielReyesPupo.html
HabibMFardoun.html
SebastianVentura.html
https___www.sciencedirect.com_science_article_pii_S0925231220319603 https://www.sciencedirect.com/science/article/pii/S0925231220319603
http___dx.doi.org_10.1016_j.neucom.2020.12.060 http://dx.doi.org/10.1016/j.neucom.2020.12.060
Moyano:2020:CEC Tree-Shaped Ensemble of Multi-Label Classifiers using Grammar-Guided Genetic Programming
JoseMMoyano.html
EvaLGibaja.html
KrzysztofJCios.html
SebastianVentura.html
http___dx.doi.org_10.1109_CEC48606.2020.9185661 http://dx.doi.org/10.1109/CEC48606.2020.9185661
MOYANO:2022:IF Auto-adaptive Grammar-Guided Genetic Programming algorithm to build Ensembles of Multi-Label Classifiers
JoseMMoyano.html
SebastianVentura.html
http___dx.doi.org_10.1016_j.inffus.2021.07.005 http://dx.doi.org/10.1016/j.inffus.2021.07.005
https___www.sciencedirect.com_science_article_pii_S1566253521001469 https://www.sciencedirect.com/science/article/pii/S1566253521001469
Moylan:2015:evoMusArt Interior Illumination Design Using Genetic Programming
KellyMoylan.html
BrianJRoss.html
http___dx.doi.org_10.1007_978-3-319-16498-4_14 http://dx.doi.org/10.1007/978-3-319-16498-4_14
mozes:1995:EBTLCGP Emergent Behavior in Traffic Light Controllers using Genetic Programming
AriWMozes.html
Mrazek:2015:EuroGP Evolutionary Design of Transistor Level Digital Circuits using Discrete Simulation
VojtechMrazek.html
ZdenekVasicek.html
http___dx.doi.org_10.1007_978-3-319-16501-1_6 http://dx.doi.org/10.1007/978-3-319-16501-1_6
Mrazek:2015:gi Evolutionary Approximation of Software for Embedded Systems: Median Function
VojtechMrazek.html
ZdenekVasicek.html
LukasSekanina.html
http___gpbib.cs.ucl.ac.uk_gi2015_evolutionary_approximation_of_software_for_embedded_systems_median_function.pdf http://gpbib.cs.ucl.ac.uk/gi2015/evolutionary_approximation_of_software_for_embedded_systems_median_function.pdf
http___doi.acm.org_10.1145_2739482.2768416 http://doi.acm.org/10.1145/2739482.2768416
http___dx.doi.org_10.1145_2739482.2768416 http://dx.doi.org/10.1145/2739482.2768416
Mrazek:2016:PATMOS Automatic Design of Arbitrary-Size Approximate Sorting Networks with Error Guarantee
VojtechMrazek.html
ZdenekVasicek.html
http___www.fit.vutbr.cz__vasicek_pubs.php_id_11175 http://www.fit.vutbr.cz/~vasicek/pubs.php?id=11175
http___dx.doi.org_10.1109_PATMOS.2016.7833691 http://dx.doi.org/10.1109/PATMOS.2016.7833691
Mrazek:2016:ICCAD Design of Power-efficient Approximate Multipliers for Approximate Artificial Neural Networks
VojtechMrazek.html
SyedShakibSarwar.html
LukasSekanina.html
ZdenekVasicek.html
KaushikRoy.html
http___www.fit.vutbr.cz__sekanina_pubs.php.en_id_11142 http://www.fit.vutbr.cz/~sekanina/pubs.php.en?id=11142
http___doi.acm.org_10.1145_2966986.2967021 http://doi.acm.org/10.1145/2966986.2967021
http___dx.doi.org_10.1145_2966986.2967021 http://dx.doi.org/10.1145/2966986.2967021
7926993 EvoApprox8b: Library of Approximate Adders and Multipliers for Circuit Design and Benchmarking of Approximation Methods
VojtechMrazek.html
RadekHrbacek.html
ZdenekVasicek.html
LukasSekanina.html
http___dx.doi.org_10.23919_DATE.2017.7926993 http://dx.doi.org/10.23919/DATE.2017.7926993
Mrazek:2017:GECCO Parallel Optimization of Transistor Level Circuits Using Cartesian Genetic Programming
VojtechMrazek.html
ZdenekVasicek.html
http___doi.acm.org_10.1145_3067695.3084212 http://doi.acm.org/10.1145/3067695.3084212
http___dx.doi.org_10.1145_3067695.3084212 http://dx.doi.org/10.1145/3067695.3084212
Mrazek:2018:IETcdt Role of circuit representation in evolutionary design of energy-efficient approximate circuits
VojtechMrazek.html
ZdenekVasicek.html
RadekHrbacek.html
http___dx.doi.org_10.1049_iet-cdt.2017.0188 http://dx.doi.org/10.1049/iet-cdt.2017.0188
http___digital-library.theiet.org_content_journals_10.1049_iet-cdt.2017.0188 http://digital-library.theiet.org/content/journals/10.1049/iet-cdt.2017.0188
Mrazek:2019:ieeeVLSI Efficient On-Chip Randomness Testing Utilizing Machine Learning Techniques
VojtechMrazek.html
LukasSekanina.html
RolandDobai.html
MarekSys.html
PetrSvenda.html
http___dx.doi.org_10.1109_TVLSI.2019.2923848 http://dx.doi.org/10.1109/TVLSI.2019.2923848
Mrazek:2020:AICAS Using Libraries of Approximate Circuits in Design of Hardware Accelerators of Deep Neural Networks
VojtechMrazek.html
LukasSekanina.html
ZdenekVasicek.html
http___dx.doi.org_10.1109_AICAS48895.2020.9073837 http://dx.doi.org/10.1109/AICAS48895.2020.9073837
Mrazek:2020:ESTCS Libraries of Approximate Circuits: Automated Design and Application in CNN Accelerators
VojtechMrazek.html
LukasSekanina.html
ZdenekVasicek.html
http___dx.doi.org_10.1109_JETCAS.2020.3032495 http://dx.doi.org/10.1109/JETCAS.2020.3032495
10.1371/journal.pcbi.1005976 Genetic programming based models in plant tissue culture: An addendum to traditional statistical approach
MeenuRMridula.html
AshalathaSNair.html
KSatheeshKumar.html
http___dx.doi.org_10.1371_journal.pcbi.1005976 http://dx.doi.org/10.1371/journal.pcbi.1005976
Mrugala:2016:GECCOcomp Evolving Attackers against Wireless Sensor Networks
KingaMrugala.html
NiluferTuptuk.html
StephenHailes.html
http___dx.doi.org_10.1145_2908961.2908974 http://dx.doi.org/10.1145/2908961.2908974
Mrugala:2017:ietWSS Evolving attackers against wireless sensor networks using genetic programming
KingaMrugala.html
NiluferTuptuk.html
StephenHailes.html
http___dx.doi.org_10.1049_iet-wss.2016.0090 http://dx.doi.org/10.1049/iet-wss.2016.0090
Mrvova:2013:RADIOELEKTRONIKA Novel parameter-based models estimating quality of synthesized speech transmitted over IP network based on Genetic Programming approach
MiroslavaMrvova.html
PeterPocta.html
http___dx.doi.org_10.1109_RadioElek.2013.6530946 http://dx.doi.org/10.1109/RadioElek.2013.6530946
Mrvova:2013:DT Quality estimation of synthesized speech transmitted over IP channel using genetic programming approach
MiroslavaMrvova.html
PeterPocta.html
http___dx.doi.org_10.1109_DT.2013.6566282 http://dx.doi.org/10.1109/DT.2013.6566282
Mucientes:2008:GEFS Processing times estimation in a manufacturing industry through genetic programming
ManuelMucientesMolina.html
JuanCarlosVidalAguiar.html
AlbertoJBugarinDiz.html
ManuelLamaPenin.html
http___dx.doi.org_10.1109_GEFS.2008.4484574 http://dx.doi.org/10.1109/GEFS.2008.4484574
MVBL2009 Processing time estimations by variable structure TSK rules learned through genetic programming
ManuelMucientesMolina.html
JuanCarlosVidalAguiar.html
AlbertoJBugarinDiz.html
ManuelLamaPenin.html
http___sci2s.ugr.es_keel_pdf_specific_articulo_scopus5.pdf http://sci2s.ugr.es/keel/pdf/specific/articulo/scopus5.pdf
http___dx.doi.org_10.1007_s00500-008-0364-2 http://dx.doi.org/10.1007/s00500-008-0364-2
Mucientes:2009:ISDA A Genetic Programming-Based Algorithm for Composing Web Services
ManuelMucientesMolina.html
ManuelLamaPenin.html
MiguelIxenCoutoPerez.html
http___www.gsi.dec.usc.es_mucientes_pubs_Mucientes09_isda.pdf http://www.gsi.dec.usc.es/mucientes/pubs/Mucientes09_isda.pdf
http___dx.doi.org_10.1109_ISDA.2009.155 http://dx.doi.org/10.1109/ISDA.2009.155
Muduli:2011:IGC Evaluation of liquefaction potential of soil using genetic programming
SaratKumarDas.html
PradyutKumarMuduli.html
https___gndec.ac.in__igs_ldh_conf_2011_articles_Theme_20-_20N_207.pdf https://gndec.ac.in/~igs/ldh/conf/2011/articles/Theme%20-%20N%207.pdf
Muduli:thesis Evaluation of liquefaction potential of soil using genetic programming
PradyutKumarMuduli.html
http___ethesis.nitrkl.ac.in_5664_ http://ethesis.nitrkl.ac.in/5664/
http___ethesis.nitrkl.ac.in_5664_1_509ce804-_PKMRevised100214.pdf http://ethesis.nitrkl.ac.in/5664/1/509ce804-_PKMRevised100214.pdf
Muduli:2014:ActaGeophysica Evaluation of liquefaction potential of soil based on standard penetration test using multi-gene genetic programming model
PradyutKumarMuduli.html
SaratKumarDas.html
http___dx.doi.org_10.2478_s11600-013-0181-6 http://dx.doi.org/10.2478/s11600-013-0181-6
muduli:2014:IGJ CPT-based Seismic Liquefaction Potential Evaluation Using Multi-gene Genetic Programming Approach
PradyutKumarMuduli.html
SaratKumarDas.html
http___link.springer.com_article_10.1007_s40098-013-0048-4 http://link.springer.com/article/10.1007/s40098-013-0048-4
http___dx.doi.org_10.1007_s40098-013-0048-4 http://dx.doi.org/10.1007/s40098-013-0048-4
Muduli:2015:hbgpa Evaluation of Liquefaction Potential of Soil Based on Shear Wave Velocity Using Multi-Gene Genetic Programming
PradyutKumarMuduli.html
SaratKumarDas.html
http___dx.doi.org_10.1007_978-3-319-20883-1_12 http://dx.doi.org/10.1007/978-3-319-20883-1_12
Muduli:2015:SF Model uncertainty of SPT-based method for evaluation of seismic soil liquefaction potential using multi-gene genetic programming
PradyutKumarMuduli.html
SaratKumarDas.html
http___dx.doi.org_10.1016_j.sandf.2015.02.003 http://dx.doi.org/10.1016/j.sandf.2015.02.003
http___www.sciencedirect.com_science_article_pii_S0038080615000232 http://www.sciencedirect.com/science/article/pii/S0038080615000232
muduli:2015:IGJ Lateral Load Capacity of Piles in Clay Using Genetic Programming and Multivariate Adaptive Regression Spline
PradyutKumarMuduli.html
ManasRanjanDasSaratKumarDasSwagatikaSenapati.html
http___link.springer.com_article_10.1007_s40098-014-0142-2 http://link.springer.com/article/10.1007/s40098-014-0142-2
http___dx.doi.org_10.1007_s40098-014-0142-2 http://dx.doi.org/10.1007/s40098-014-0142-2
Muehlbauer:2017:evoMusArt Automated Shape Design by Grammatical Evolution
ManuelMuehlbauer.html
JaneBurry.html
AndySong.html
http___dx.doi.org_10.1007_978-3-319-55750-2_15 http://dx.doi.org/10.1007/978-3-319-55750-2_15
Muehlenbein:2001:AESIA Evolutionary Synthesis of Bayesian Networks for Optimization
HeinzMuhlenbein.html
ThiloMahning.html
http___www.ais.fraunhofer.de__muehlen_publications_MueMa00b.ps.gz http://www.ais.fraunhofer.de/~muehlen/publications/MueMa00b.ps.gz
Mueller:2014:PhysRevB Origins of hole traps in hydrogenated nanocrystalline and amorphous silicon revealed through machine learning
TimMueller.html
EricJohlin.html
JeffreyCGrossman.html
http___hdl.handle.net_1721.1_88769 http://hdl.handle.net/1721.1/88769
http___dx.doi.org_10.1103_PhysRevB.89.115202 http://dx.doi.org/10.1103/PhysRevB.89.115202
Muessel:2022:Bioinformatics CANTATA - prediction of missing links in Boolean networks using genetic programming
ChristophMuessel.html
NensiIkonomi.html
SilkeDWerle.html
FelixMWeidner.html
MarkusMaucher.html
JulianDSchwab.html
HansAKestler.html
https___doi.org_10.1093_bioinformatics_btac623 https://doi.org/10.1093/bioinformatics/btac623
http___dx.doi.org_10.1093_bioinformatics_btac623 http://dx.doi.org/10.1093/bioinformatics/btac623
https___github.com_sysbio-bioinf_Cantata https://github.com/sysbio-bioinf/Cantata
mugambi:2003:KBIIES Multi-objective Genetic Programming Optimization of Decision Trees for Classifying Medical Data
ErnestMugambi.html
AndrewHunter.html
http___link.springer.com_chapter_10.1007_978-3-540-45224-9_42 http://link.springer.com/chapter/10.1007/978-3-540-45224-9_42
http___dx.doi.org_10.1007_978-3-540-45224-9_42 http://dx.doi.org/10.1007/978-3-540-45224-9_42
Mugambi:2004:KBS Polynomial-fuzzy decision tree structures for classifying medical data
ErnestMugambi.html
AndrewHunter.html
GilesOatley.html
RLeeKennedy.html
http___dx.doi.org_10.1016_j.knosys.2004.03.003 http://dx.doi.org/10.1016/j.knosys.2004.03.003
Mugambi:thesis Automated inference of comprehensible models for medical data mining
ErnestMugambi.html
https___catalogue.sunderland.ac.uk_items_289379 https://catalogue.sunderland.ac.uk/items/289379
https___ethos.bl.uk_OrderDetails.do_uin_uk.bl.ethos.425238 https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.425238
Mugrai:2019:CoG Automated Playtesting of Matching Tile Games
LuvneeshMugrai.html
FernandoSilva.html
ChristofferHolmgard.html
JulianTogelius.html
http___dx.doi.org_10.1109_CIG.2019.8848057 http://dx.doi.org/10.1109/CIG.2019.8848057
Muhammad:2022:ICAI Evolving computationally efficient prediction model for Stock Volatility using CGPANN
NiazMuhammad.html
SyedWaqarShah.html
GulMuhammadKhan.html
http___dx.doi.org_10.1109_ICAI55435.2022.9773706 http://dx.doi.org/10.1109/ICAI55435.2022.9773706
muharram:2004:eurogp Evolutionary Feature Construction using Information Gain and Gini Index
MohammedAMuharram.html
GeorgeDSmith.html
http___dx.doi.org_10.1007_978-3-540-24650-3_36 http://dx.doi.org/10.1007/978-3-540-24650-3_36
Muharram:thesis The Application of Genetic Programming For Feature Construction in Classification
MohammedAMuharram.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_Muharram_thesis.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/Muharram_thesis.pdf
https___ueaeprints.uea.ac.uk_3801_ https://ueaeprints.uea.ac.uk/3801/
http___ethos.bl.uk_OrderDetails.do_did_22_uin_uk.bl.ethos.426687 http://ethos.bl.uk/OrderDetails.do?did=22&uin=uk.bl.ethos.426687
10.1109/TKDE.2005.182 Evolutionary Constructive Induction
MohammedAMuharram.html
GeorgeDSmith.html
http___dx.doi.org_10.1109_TKDE.2005.182 http://dx.doi.org/10.1109/TKDE.2005.182
Mukherjee:2012:GECCOcomp Differential evolution of constants in genetic programming improves efficacy and bloat
ShreyaMukherjee.html
MargaretJEppstein.html
http___dx.doi.org_10.1145_2330784.2330891 http://dx.doi.org/10.1145/2330784.2330891
Mukkamala:2006:ICAISC Feature Selection and Ranking of Key Genes for Tumor Classification: Using Microarray Gene Expression Data
SrinivasMukkamala.html
QingzhongLiu.html
RajeevVeeraghattam.html
AndrewHSung.html
http___dx.doi.org_10.1007_11785231_100 http://dx.doi.org/10.1007/11785231_100
Mukosaka:2013:PCS Performance of Incremental Genetic Programming on Adaptability of Snake-like Robot
NaokiMukosaka.html
IvanTTanev.html
KatsunoriShimohara.html
http___dx.doi.org_10.1016_j.procs.2013.10.038 http://dx.doi.org/10.1016/j.procs.2013.10.038
http___www.sciencedirect.com_science_article_pii_S1877050913011800 http://www.sciencedirect.com/science/article/pii/S1877050913011800
Muller:2019:GECCOcomp Transfer learning: a building block selection mechanism in genetic programming for symbolic regression
BrandonMuller.html
HarithAl-Sahaf.html
BingXue.html
MengjieZhang.html
http___dx.doi.org_10.1145_3319619.3322072 http://dx.doi.org/10.1145/3319619.3322072
MullerdeSouza:2020:ASC A benchmark suite for designing combinational logic circuits via metaheuristics
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mulloy:1996:dGPctsp Dynamics of Genetic Programming and Chaotic Time Series Prediction
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Munante:2018:MoDRE Model Driven Software Reconfiguration by Exploiting Grammar Based Genetic Programming
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DBLP:journals/corr/abs-2111-00053 Symbolic Regression via Neural-Guided Genetic Programming Population Seeding
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DBLP:conf/nips/MundhenkLGSFP21 Symbolic Regression via Neural-Guided Genetic Programming Population Seeding
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muni:2004:TEC A Novel Approach to Design Classifier Using Genetic Programming
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MPD06 Genetic programming for simultaneous feature selection and classifier design
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Muni:2006:ICARCV Texture Generation for Fashion Design Using Genetic Programming
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Mun09 Certain Pattern Recognition Tasks using Genetic Programming
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Muni:2012:FIE Evolution of Fuzzy Classifiers using Genetic Programming
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munoz:2018:AiCI Vegetation Index Based on Genetic Programming for Bare Ground Detection in the Amazon
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Munoz:2015:EuroGP M3GP: Multiclass Classification with GP
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Munoz:2019:MemeticC Evolving multidimensional transformations for symbolic regression with M3GP
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Munoz:GPEM:TL Transfer learning in constructive induction with Genetic Programming
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Munoz:2020:EC Generating New Space-Filling Test Instances for Continuous Black-Box Optimization
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DBLP:conf/mir/MunozDT19 A Genetic Programming Approach for Searching on Nearest Neighbors Graphs
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Munoz:2022:MTA A genetic programming approach for searching on nearest neighbors graphs
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Munoz-Martin:thesis La rentabilidad de la bolsa espa\~nola (1990-2007) y las limitaciones del an\'alisis financiero convencional
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1277287 Best SubTree genetic programming
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1274088 Genetically designed heuristics for the bin packing problem
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DBLP:conf/ahs/MunteanDO07 Solving the even-n-parity problems using Best SubTree Genetic Programming
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conf/bliss/MunteanO07 Processing Bank Checks with Genetic Programming and Histograms
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conf/ideas/Muntes-MuleroZM06 An inside analysis of a genetic-programming based optimizer
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Murali:2009:IJRTE Correction of Logical Errors in C programs using Genetic Algorithm Techniques
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murali:2022:GECCO Adapting Novelty towards Generating Antigens for Antivirus systems
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murali2023evolving Evolving malware variants as antigens for antivirus systems
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Murano:2018:ISIS A Study on Multimodal Genetic Programming Introducing Program Simplification
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murari:2020:AS Investigating the Physics of Tokamak Global Stability with Interpretable Machine Learning Tools
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murari:AIR Combining neural computation and genetic programming for observational causality detection and causal modelling
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murari:2022:AS Considerations on Stellarator's Optimization from the Perspective of the Energy Confinement Time Scaling Laws
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Murari:EC Upgrades of Genetic Programming for Data Driven Modelling of Time Series
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MURARI:2023:engstruct Vibrational characteristics of functionally graded graphene origami- enabled auxetic metamaterial beams with variable thickness in fluid
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murata:2004:lbp Developing Cooperation of Multiple Agents Using Genetic Network Programming with Automatically Defined Groups
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1068294 Genetic network programming with automatically defined groups for assigning proper roles to multiple agents
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Murata:2006:CEC Using Genetic Network Programming to Get Comprehensible Control Rules for Real Robots
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Murphy:2020:CEC Improving Module Identification and Use in Grammatical Evolution
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Murphy:2020:ECTA Grammar-based Fuzzy Pattern Trees for Classification Problems
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Murphy:2021:EuroGP Towards incorporating Human Knowledge in Fuzzy Pattern Tree Evolution
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Murphy:2022:GI The case for Grammatical Evolution in test generation
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murphy:2023:GECCOcomp Error and Correlation as Fitness Functions for Scaled Symbolic Regression in Grammatical Evolution
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murphy:2023:GEWS2023 Initialisation in Structured Grammatical Evolution
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murphy_etal:cec2010 Tree-Adjunct Grammatical Evolution
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murphy:2011:EuroGP Examining Mutation Landscapes In Grammar Based Genetic Programming
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Murphy:2011:GECCO A comparison of GE and TAGE in dynamic environments
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Murphy:2011:GECCOcomp Examining grammars and grammatical evolution in dynamic environments
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murphy:2012:EuroGP Grammar Bias and Initialisation in Grammar Based Genetic Programming
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conf/ppsn/MurphyNHOB12 Differential Gene Expression with Tree-Adjunct Grammars
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murphy:PhDThesis:2014 An Exploration of Tree-Adjoining Grammars for Grammatical Evolution
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1277305 Seeding methods for run transferable libraries
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Murphy:2007:GPTP Manipulation of Convergence in Evolutionary Systems
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Murphy:2007:FBIT [Seeding Methods for Run Transferable Libraries] Capturing Domain Relevant Functionality through Schematic Manipulation for Genetic Programming
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conf/eurogp/MurphyR08 A Simple Powerful Constraint for Genetic Programming
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Murphy:2008:gecco Exploiting the path of least resistance in evolution
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murphy-thesis Manipulating Convergence In Evolutionary Systems
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Murphy:2008:TPCG Grammatical Evolution for Gait Retargeting
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Murphy:2009:eurogp Exploring Grammatical Evolution for Horse Gait Optimisation
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HamishCarr.html
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Murphy:2009:MENDEL Gait Optimisation for Distinct Horse Models using Grammatical Evolution
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HamishCarr.html
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murphy_carr_oneill:tpcg2010 Animating Horse Gaits and Transitions
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James_Murphy_thesis Applications of Evolutionary Computation to Quadrupedal Animal Animation
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http___www.james-e-murphy.ie_thesis.html http://www.james-e-murphy.ie/thesis.html
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Murray:2012:ASL Adaptive Source-Level Data Assignment to Dual Memory Banks
AlastairMurray.html
BjornFranke.html
http___dx.doi.org_10.1145_2180887.2180897 http://dx.doi.org/10.1145/2180887.2180897
Murray2012 Customising compilers for customisable processors
AlastairMurray.html
http___hdl.handle.net_1842_8028 http://hdl.handle.net/1842/8028
https___www.era.lib.ed.ac.uk_bitstream_handle_1842_8028_Murray2012.pdf https://www.era.lib.ed.ac.uk/bitstream/handle/1842/8028/Murray2012.pdf
2009murraysmithdsc Methods of system identification, parameter estimation and optimisation applied to problems of modelling and control in engineering and physiology
DavidJamesMurray-Smith.html
http___theses.gla.ac.uk_1170_ http://theses.gla.ac.uk/1170/
http___theses.gla.ac.uk_1170_1_2009murraysmithdsc.pdf http://theses.gla.ac.uk/1170/1/2009murraysmithdsc.pdf
http___encore.lib.gla.ac.uk_iii_encore_record_C__Rb2694600 http://encore.lib.gla.ac.uk/iii/encore/record/C__Rb2694600
MurraySmith:2012:MSISE Experimental modelling: system identification, parameter estimation and model optimisation techniques
DavidJamesMurray-Smith.html
http___dx.doi.org_10.1533_9780857096050.165 http://dx.doi.org/10.1533/9780857096050.165
http___www.sciencedirect.com_science_article_pii_B9780857090782500063 http://www.sciencedirect.com/science/article/pii/B9780857090782500063
muruzabal:2000:pmbcGP Some Probabilistic Modelling Ideas For Boolean Classification In Genetic Programming
JorgeMuruzabal.html
CarlosCotta.html
AmeliaFernandez.html
http___dx.doi.org_10.1007_978-3-540-46239-2_10 http://dx.doi.org/10.1007/978-3-540-46239-2_10
Musani_2007_HH Detection of Gene x Gene Interactions in Genome-Wide Association Studies of Human Population Data
SolomonKMusani.html
DanielShriner.html
NianjunLiu.html
RuiFeng.html
ChristopherSCoffey.html
NengjunYi.html
HemantKTiwari.html
DavidBAllison.html
http___dx.doi.org_10.1159_000099179 http://dx.doi.org/10.1159/000099179
Musgrave:1998:GT Genetic Textures
KenMusgrave.html
http___www.amazon.ca_gp_reader_0122287304_ref_sib_rdr_next1_S00E_702-6803721-8680860_ie_UTF8_p_S00E_ns_1 http://www.amazon.ca/gp/reader/0122287304/ref=sib_rdr_next1_S00E/702-6803721-8680860?ie=UTF8&p=S00E&ns=1
musilek:2005:JIFS Genetic Programming of Fuzzy Aggregation Operations
PetrMusilek.html
RheaGuanlao.html
GuillermoBarreiro.html
http___content.iospress.com_articles_journal-of-intelligent-and-fuzzy-systems_ifs00253 http://content.iospress.com/articles/journal-of-intelligent-and-fuzzy-systems/ifs00253
musilek:2006:IS Immune Programming
PetrMusilek.html
AdrielLau.html
MarekReformat.html
LorenWyard-Scott.html
http___dx.doi.org_10.1016_j.ins.2005.03.009 http://dx.doi.org/10.1016/j.ins.2005.03.009
Musilek:2015:FUZZ-IEEE Pressure-based forecasting of next-day solar energy availability using evolutionary fuzzy rules
PetrMusilek.html
PavelKroemer.html
JamesRodway.html
MichalPrauzek.html
http___dx.doi.org_10.1109_FUZZ-IEEE.2015.7337938 http://dx.doi.org/10.1109/FUZZ-IEEE.2015.7337938
muslea:1997:SINERGYlb A General-Purpose AI Planning System Based on the Genetic Programming Paradigm
IonMuslea.html
http___www.isi.edu__muslea_PS_gp97.pdf http://www.isi.edu/~muslea/PS/gp97.pdf
muslea:1997:SINERGY SINERGY: A Linear Planner Based on Genetic Programming
IonMuslea.html
http___arXiv.org_abs_cs_9810016 http://arXiv.org/abs/cs/9810016
http___www.isi.edu__muslea_PS_ecp97.pdf http://www.isi.edu/~muslea/PS/ecp97.pdf
http___dx.doi.org_10.1007_3-540-63912-8_95 http://dx.doi.org/10.1007/3-540-63912-8_95
muslea:1998:SINERGY A General-Purpose AI planning System Based on the Genetic Programming Paradigm
IonMuslea.html
http___www.isi.edu__muslea_PS_2_WAC.pdf http://www.isi.edu/~muslea/PS/2_WAC.pdf
http___roadrunner.com__js_products_books.html http://roadrunner.com/~js/products/books.html
Mustapa:2016:ieeeTSmartG Hardware-Oriented Authentication for Advanced Metering Infrastructure
MuslimMustapa.html
MohammedNiamat.html
AtulPrasadDebNath.html
MansoorAlam.html
http___dx.doi.org_10.1109_TSG.2016.2582423 http://dx.doi.org/10.1109/TSG.2016.2582423
muttil:76 Improving Runoff Forecasting by Input Variable Selection in Genetic Programming
NitinMuttil.html
Shie-YuiLiong.html
http___dx.doi.org_10.1061_40569_2001_76 http://dx.doi.org/10.1061/40569(2001)76
Muttil:2005:EM Genetic programming for analysis and real-time prediction of coastal algal blooms
NitinMuttil.html
JosephHun-weiLee.html
http___dx.doi.org_10.1016_j.ecolmodel.2005.03.018 http://dx.doi.org/10.1016/j.ecolmodel.2005.03.018
oai:inderscience.com:11208 Neural network and genetic programming for modelling coastal algal blooms
NitinMuttil.html
Kwok-WingChau.html
http___www.inderscience.com_link.php_id_11208 http://www.inderscience.com/link.php?id=11208
http___dx.doi.org_10.1504_IJEP.2006.011208 http://dx.doi.org/10.1504/IJEP.2006.011208
Muttil:2007:EAAI Machine-learning paradigms for selecting ecologically significant input variables
NitinMuttil.html
Kwok-WingChau.html
http___dx.doi.org_10.1016_j.engappai.2006.11.016 http://dx.doi.org/10.1016/j.engappai.2006.11.016
Mwaura:2010:cec Evolution of robotic behaviours using Gene Expression Programming
JonathanMwaura.html
EdKeedwell.html
http___dx.doi.org_10.1109_CEC.2010.5586083 http://dx.doi.org/10.1109/CEC.2010.5586083
conf/taros/MwauraK11 Evolving Modularity in Robot Behaviour Using Gene Expression Programming
JonathanMwaura.html
EdKeedwell.html
http___dx.doi.org_10.1007_978-3-642-23232-9_43 http://dx.doi.org/10.1007/978-3-642-23232-9_43
Mwaura:thesis Evolution of Robotic Behaviour using Gene Expression Programming
JonathanMwaura.html
http___ethos.bl.uk_OrderDetails.do_uin_uk.bl.ethos.549144 http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.549144
https___ore.exeter.ac.uk_repository_handle_10036_3493 https://ore.exeter.ac.uk/repository/handle/10036/3493
https___ore.exeter.ac.uk_repository_bitstream_handle_10036_3493_MwauraJ.pdf https://ore.exeter.ac.uk/repository/bitstream/handle/10036/3493/MwauraJ.pdf
http___hdl.handle.net_10036_3493 http://hdl.handle.net/10036/3493
conf/ices/MwauraK14 On using Gene Expression Programming to evolve multiple output robot controllers
JonathanMwaura.html
EdKeedwell.html
http___ieeexplore.ieee.org_xpl_mostRecentIssue.jsp_punumber_7000191 http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=7000191
http___dx.doi.org_10.1109_ICES.2014.7008737 http://dx.doi.org/10.1109/ICES.2014.7008737
conf/ssci/MwauraK15 Evolving Robotic Neuro-Controllers Using Gene Expression Programming
JonathanMwaura.html
EdKeedwell.html
http___ieeexplore.ieee.org_xpl_mostRecentIssue.jsp_punumber_7371400 http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=7371400
http___dx.doi.org_10.1109_SSCI.2015.153 http://dx.doi.org/10.1109/SSCI.2015.153
Mwaura:2014:GPEM Evolving robot sub-behaviour modules using Gene Expression Programming
JonathanMwaura.html
EdKeedwell.html
http___dx.doi.org_10.1007_s10710-014-9229-x http://dx.doi.org/10.1007/s10710-014-9229-x
Mweshi:2019:CEC A Grammatical Evolution Approach for the Automated Generation of Perturbative Heuristics
GeorgeMweshi.html
NelishiaPillay.html
http___dx.doi.org_10.1109_CEC.2019.8790301 http://dx.doi.org/10.1109/CEC.2019.8790301
Mweshi_2019 Feature Selection using Genetic Programming
GeorgeMweshi.html
https___ictjournal.icict.org.zm_index.php_zictjournal_article_view_62 https://ictjournal.icict.org.zm/index.php/zictjournal/article/view/62
https___ictjournal.icict.org.zm_index.php_zictjournal_article_download_62_43 https://ictjournal.icict.org.zm/index.php/zictjournal/article/download/62/43
http___dx.doi.org_10.33260_zictjournal.v3i2.62 http://dx.doi.org/10.33260/zictjournal.v3i2.62
journals/eswa/MweshiP21 An improved grammatical evolution approach for generating perturbative heuristics to solve combinatorial optimization problems
GeorgeMweshi.html
NelishiaPillay.html
https___doi.org_10.1016_j.eswa.2020.113853 https://doi.org/10.1016/j.eswa.2020.113853
http___dx.doi.org_10.1016_j.eswa.2020.113853 http://dx.doi.org/10.1016/j.eswa.2020.113853
Mydlowec:1997:dGPemm Discovery by Genetic Programming of Empirical Macroeconomic Models
WilliamJMydlowec.html
mysinger:1998:GDAIPCGB Genetic Design of an Artificial Intelligence to Play the Classic Game of Battleship
MichaelMysinger.html
Myszkowski:2009:IMCSIT Trading rule discovery on Warsaw Stock Exchange using revolutionary algorithms
PawelBMyszkowski.html
LukaszRachwalski.html
http___www.proceedings2009.imcsit.org_pliks_iv_imcsit.pdf http://www.proceedings2009.imcsit.org/pliks/iv_imcsit.pdf
http___dx.doi.org_10.1109_IMCSIT.2009.5352748 http://dx.doi.org/10.1109/IMCSIT.2009.5352748
nacaskul:1997:pop Phenotype-Object Programming, Phenotype-Array Datatype, and an Evolutionary Signal-Ensemble FX Trading Model
PoomjaiNacaskul.html
http___www.cs.ucl.ac.uk_isrg__et97_papers.htm http://www.cs.ucl.ac.uk/isrg//et97/papers.htm
Nachazel:GPEM Fuzzy cognitive maps for decision-making in dynamic environments
TomasNachazel.html
https___rdcu.be_b4w5p https://rdcu.be/b4w5p
http___dx.doi.org_10.1007_s10710-020-09393-2 http://dx.doi.org/10.1007/s10710-020-09393-2
nachbar:1995 Genetic Programming
RobertBNachbar.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_nachbar_1995_Nachbar95genetic.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/nachbar_1995/Nachbar95genetic.pdf
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_nachbar_1995_ http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/nachbar_1995/
nachbar:1998:me:hrctam Molecular Evolution: A Hierarchical Representation for Chemical Topology and Its Automated Manipulation
RobertBNachbar.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_gp1998_nachbar_1998_me_hrctam.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/gp1998/nachbar_1998_me_hrctam.pdf
nachbar:2000:meamhtaams Molecular Evolution: Automated Manipulation of Hierarchical Chemical Topology and Its Application to Average Molecular Structures
RobertBNachbar.html
http___dx.doi.org_10.1023_A_1010072431120 http://dx.doi.org/10.1023/A:1010072431120
NADAFZADEH:2018:SH Development of computer vision system to predict peroxidase and polyphenol oxidase enzymes to evaluate the process of banana peel browning using genetic programming modeling
MaryamNadafzadeh.html
SamanAbdananMehdizadeh.html
MaryamSoltanikazemi.html
http___dx.doi.org_10.1016_j.scienta.2017.12.047 http://dx.doi.org/10.1016/j.scienta.2017.12.047
http___www.sciencedirect.com_science_article_pii_S0304423817307707 http://www.sciencedirect.com/science/article/pii/S0304423817307707
Nader:2020:GECCOcomp Searching for Activation Functions Using a Self-Adaptive Evolutionary Algorithm
AndrewNader.html
DanielleAzar.html
http___www.human-competitive.org_sites_default_files_azar_entry_form.txt http://www.human-competitive.org/sites/default/files/azar_entry_form.txt
http___www.human-competitive.org_sites_default_files_nader-azar-gecco2020.pdf http://www.human-competitive.org/sites/default/files/nader-azar-gecco2020.pdf
https___doi.org_10.1145_3377929.3389942 https://doi.org/10.1145/3377929.3389942
http___dx.doi.org_10.1145_3377929.3389942 http://dx.doi.org/10.1145/3377929.3389942
http___www.human-competitive.org_sites_default_files_nader_azar_humies.mp4 http://www.human-competitive.org/sites/default/files/nader_azar_humies.mp4
https___youtu.be_MjV4kCGfERw https://youtu.be/MjV4kCGfERw
Nader:TELO Evolution of Activation Functions: An Empirical Investigation
AndrewNader.html
DanielleAzar.html
http___www.human-competitive.org_sites_default_files_azar_entry_form.txt http://www.human-competitive.org/sites/default/files/azar_entry_form.txt
http___www.human-competitive.org_sites_default_files_telo_paper_evolution_of_activation_functions_an_empirical_investigation_accepted.pdf http://www.human-competitive.org/sites/default/files/telo_paper_evolution_of_activation_functions_an_empirical_investigation_accepted.pdf
http___dx.doi.org_10.1145_3464384 http://dx.doi.org/10.1145/3464384
Nader-Palacio:2018:GI5 Assessing Single-Objective Performance Convergence and Time Complexity for Refactoring Detection
DavidAlbertoNader-Palacio.html
DanielRodriguez-Cardenas.html
JonatanGomezPerdomo.html
http___www.cs.stir.ac.uk_events_gecco-gi-2018_papers_assessing_single-objective_performance_convergence_and_time_complexity_for_refactoring_detection.pdf http://www.cs.stir.ac.uk/events/gecco-gi-2018/papers/assessing_single-objective_performance_convergence_and_time_complexity_for_refactoring_detection.pdf
http___dx.doi.org_10.1145_3205651.3208294 http://dx.doi.org/10.1145/3205651.3208294
Naderi:2018:IJEOE Application of Optimized Least Square Support Vector Machine and Genetic Programming for Accurate Estimation of Drilling Rate of Penetration
MeysamNaderi.html
EhsanKhamehchi.html
http___dx.doi.org_10.4018_IJEOE.2018100105 http://dx.doi.org/10.4018/IJEOE.2018100105
NADERI:2019:JPSE Novel statistical forecasting models for crude oil price, gas price, and interest rate based on meta-heuristic bat algorithm
MeysamNaderi.html
EhsanKhamehchi.html
BehroozKarimi.html
http___dx.doi.org_10.1016_j.petrol.2018.09.031 http://dx.doi.org/10.1016/j.petrol.2018.09.031
http___www.sciencedirect.com_science_article_pii_S0920410518307861 http://www.sciencedirect.com/science/article/pii/S0920410518307861
Nadizar:2022:EuroGP On the Schedule for Morphological Development of Evolved Modular Soft Robots
GiorgiaNadizar.html
EricMedvet.html
KarinedaSilvaMirasdeAraujo.html
http___dx.doi.org_10.1007_978-3-031-02056-8_10 http://dx.doi.org/10.1007/978-3-031-02056-8_10
https___github.com_giorgia-nadizar_VSREvoDevo https://github.com/giorgia-nadizar/VSREvoDevo
Nadizar:2023:EuroGP On the Effects of Collaborators Selection and Aggregation in Cooperative Coevolution: an Experimental Analysis
GiorgiaNadizar.html
EricMedvet.html
https___rdcu.be_c8U2M https://rdcu.be/c8U2M
http___dx.doi.org_10.1007_978-3-031-29573-7_19 http://dx.doi.org/10.1007/978-3-031-29573-7_19
nadizar:2023:GECCO2 An Investigation of Geometric Semantic GP with Linear Scaling
GiorgiaNadizar.html
FraserGarrow.html
BerfinSakallioglu.html
LorenzoCanonne.html
SaraSilva.html
LeonardoVanneschi.html
http___dx.doi.org_10.1145_3583131.3590418 http://dx.doi.org/10.1145/3583131.3590418
nadizar:2024:TELO An Analysis of the Ingredients for Learning Interpretable Symbolic Regression Models with Human-in-the-loop and Genetic Programming
GiorgiaNadizar.html
LuigiRovito.html
AndreaDeLorenzo.html
EricMedvet.html
MarcoVirgolin.html
https___doi.org_10.1145_3643688 https://doi.org/10.1145/3643688
http___dx.doi.org_10.1145_3643688 http://dx.doi.org/10.1145/3643688
Nadizar:2024:EuroGP Naturally Interpretable Control Policies via Graph-Based Genetic Programming
GiorgiaNadizar.html
EricMedvet.html
DennisGWilson.html
http___dx.doi.org_10.1007_978-3-031-56957-9_5 http://dx.doi.org/10.1007/978-3-031-56957-9_5
Naeini:2008:cec Evolving a Multiagent Coordination Strategy Using Genetic Network Programming for Pursuit Domain
ArminTavakoliNaeini.html
MaziarPalhang.html
http___dx.doi.org_10.1109_CEC.2008.4631217 http://dx.doi.org/10.1109/CEC.2008.4631217
Naeini:2009:ieeeSMC Improving coordination via emergent communication in cooperative multiagent systems: A Genetic Network Programming approach
ArminTavakoliNaeini.html
MehranGhaziasgar.html
http___dx.doi.org_10.1109_ICSMC.2009.5346622 http://dx.doi.org/10.1109/ICSMC.2009.5346622
naemura:1998:mgGPie Module Generation for Genetic Programming and Its Incremental Evolution
TakayoshiNaemura.html
TomonoriHashiyama.html
ShigeruOkuma.html
http___citeseer.ist.psu.edu_cache_papers_cs_14524_http_zSzzSzwww.okuma.nuee.nagoya-u.ac.jpzSz_naemurazSzresearchzSzSEAL98.pdf_naemura98module.pdf http://citeseer.ist.psu.edu/cache/papers/cs/14524/http:zSzzSzwww.okuma.nuee.nagoya-u.ac.jpzSz~naemurazSzresearchzSzSEAL98.pdf/naemura98module.pdf
http___citeseer.ist.psu.edu_naemura98module.html http://citeseer.ist.psu.edu/naemura98module.html
nafees:2021:Materials Predictive Modeling of Mechanical Properties of Silica Fume-Based Green Concrete Using Artificial Intelligence Approaches: MLPNN, ANFIS, and GEP
AfnanNafees.html
MuhammadFaisalJaved.html
SherbazKhan.html
KashifNazir.html
FurqanFarooq.html
FahidAslam.html
MuhammadAliMusarat.html
NikolaiIvanovichVatin.html
https___www.mdpi.com_1996-1944_14_24_7531 https://www.mdpi.com/1996-1944/14/24/7531
http___dx.doi.org_10.3390_ma14247531 http://dx.doi.org/10.3390/ma14247531
Nafie:2019:IJACSA Hybrid Genetic-FSM Technique for Detection of High-Volume DoS Attack
MohamedSamyNafie.html
KhaledAdel.html
HassanAbounaser.html
AmrBadr.html
http___thesai.org_Downloads_Volume10No4_Paper_62-Hybrid_Genetic_FSM_Technique.pdf http://thesai.org/Downloads/Volume10No4/Paper_62-Hybrid_Genetic_FSM_Technique.pdf
http___dx.doi.org_10.14569_IJACSA.2019.0100462 http://dx.doi.org/10.14569/IJACSA.2019.0100462
Nag:2015:Cybernetics A Multiobjective Genetic Programming-Based Ensemble for Simultaneous Feature Selection and Classification
KaustuvNag.html
NikhilRanjanPal.html
http___dx.doi.org_10.1109_TCYB.2015.2404806 http://dx.doi.org/10.1109/TCYB.2015.2404806
nag:2019:ESIA Genetic Programming for Classification and Feature Selection
KaustuvNag.html
NikhilRanjanPal.html
http___link.springer.com_chapter_10.1007_978-3-319-91341-4_7 http://link.springer.com/chapter/10.1007/978-3-319-91341-4_7
http___dx.doi.org_10.1007_978-3-319-91341-4_7 http://dx.doi.org/10.1007/978-3-319-91341-4_7
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KaustuvNag.html
NikhilRanjanPal.html
http___dx.doi.org_10.1109_TEVC.2019.2927526 http://dx.doi.org/10.1109/TEVC.2019.2927526
Nagai:2012:IIAIAAI Acquisition of Characteristic TTSP Graph Patterns by Genetic Programming
SatoshiNagai.html
TetsuhiroMiyahara.html
YusukeSuzuki.html
TomoyukiUchida.html
http___dx.doi.org_10.1109_IIAI-AAI.2012.73 http://dx.doi.org/10.1109/IIAI-AAI.2012.73
DBLP:conf/ausai/NagamineMKUT07 A Genetic Programming Approach to Extraction of Glycan Motifs Using Tree Structured Patterns
MasatoshiNagamine.html
TetsuhiroMiyahara.html
TetsujiKuboyama.html
HiroakiUeda.html
Ken-ichiTakahashi.html
http___dx.doi.org_10.1007_978-3-540-76928-6_17 http://dx.doi.org/10.1007/978-3-540-76928-6_17
DBLP:conf/ausai/NagamineMKUT08 Evolution of Multiple Tree Structured Patterns from Tree-Structured Data Using Clustering
MasatoshiNagamine.html
TetsuhiroMiyahara.html
TetsujiKuboyama.html
HiroakiUeda.html
Ken-ichiTakahashi.html
http___dx.doi.org_10.1007_978-3-540-89378-3_51 http://dx.doi.org/10.1007/978-3-540-89378-3_51
NagendraKumar:2009:NaBIC A scalable genetic programming multi-class ensemble classifier
DirisalaJNagendraKumar.html
SureshChandraSatapathy.html
JVRMurthy.html
http___dx.doi.org_10.1109_NABIC.2009.5393788 http://dx.doi.org/10.1109/NABIC.2009.5393788
NAGHIZADEH:2022:JPSE Predicting viscosity of CO2-N2 gaseous mixtures using advanced intelligent schemes
ArefehNaghizadeh.html
AydinLarestani.html
MenadNaitAmar.html
AbdolhosseinHemmati-Sarapardeh.html
http___dx.doi.org_10.1016_j.petrol.2021.109359 http://dx.doi.org/10.1016/j.petrol.2021.109359
https___www.sciencedirect.com_science_article_pii_S0920410521010093 https://www.sciencedirect.com/science/article/pii/S0920410521010093
Nahvi:2016:CEA Using self-adaptive evolutionary algorithm to improve the performance of an extreme learning machine for estimating soil temperature
BehnazNahvi.html
JafarHabibi.html
KasraMohammadi.html
ShahaboddinShamshirband.html
OthmanSalehAlRazgan.html
http___dx.doi.org_10.1016_j.compag.2016.03.025 http://dx.doi.org/10.1016/j.compag.2016.03.025
http___www.sciencedirect.com_science_article_pii_S0168169916300977 http://www.sciencedirect.com/science/article/pii/S0168169916300977
eurogp07:Naidoo The Induction of Finite Transducers Using Genetic Programming
AmashiniNaidoo.html
NelishiaPillay.html
http___dx.doi.org_10.1007_978-3-540-71605-1_35 http://dx.doi.org/10.1007/978-3-540-71605-1_35
naidoo:masters Evolving Automata Using Genetic Programming
AmashiniNaidoo.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_naidoo_masters.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/naidoo_masters.pdf
conf/eurogp/NaidooP08 Using Genetic Programming for Turing Machine Induction
AmashiniNaidoo.html
NelishiaPillay.html
http___dx.doi.org_10.1007_978-3-540-78671-9_30 http://dx.doi.org/10.1007/978-3-540-78671-9_30
Naik:2013:misc Improving Generalization Ability of Genetic Programming: Comparative Study
TejashviRNaik.html
VipulKDabhi.html
http___arxiv.org_abs_1304.3779 http://arxiv.org/abs/1304.3779
Naik:2021:AESPC Knowledge-Embedded MGGP Model for Resonant Frequency of Microstrip Antenna
DeepakKumarNaik.html
AmitKumarSahu.html
RajeevKumarParida.html
DhrubaCharanPanda.html
RabindraKishoreMishra.html
http___dx.doi.org_10.1109_AESPC52704.2021.9708521 http://dx.doi.org/10.1109/AESPC52704.2021.9708521
Naish:2015:ASWEC Multiple Bug Spectral Fault Localization Using Genetic Programming
LeeNaish.html
Neelofar.html
KotagiriRamamohanarao.html
https___research.monash.edu_en_publications_multiple-bug-spectral-fault-localization-using-genetic-programmin https://research.monash.edu/en/publications/multiple-bug-spectral-fault-localization-using-genetic-programmin
http___dx.doi.org_10.1109_ASWEC.2015.12 http://dx.doi.org/10.1109/ASWEC.2015.12
NAITAMAR:2021:JTICEa On the evaluation of solubility of hydrogen sulfide in ionic liquids using advanced committee machine intelligent systems
MenadNaitAmar.html
MohammedAbdelfetahGhriga.html
HocineOuaer.html
http___dx.doi.org_10.1016_j.jtice.2021.01.007 http://dx.doi.org/10.1016/j.jtice.2021.01.007
https___www.sciencedirect.com_science_article_pii_S1876107021000080 https://www.sciencedirect.com/science/article/pii/S1876107021000080
NAITAMAR:2021:JTICE Towards improved genetic programming based-correlations for predicting the interfacial tension of the systems pure/impure CO2-brine
MenadNaitAmar.html
http___dx.doi.org_10.1016_j.jtice.2021.08.010 http://dx.doi.org/10.1016/j.jtice.2021.08.010
https___www.sciencedirect.com_science_article_pii_S1876107021004752 https://www.sciencedirect.com/science/article/pii/S1876107021004752
NAITAMAR:2022:Fuel Robust smart schemes for modeling carbon dioxide uptake in metal - organic frameworks
MenadNaitAmar.html
HocineOuaer.html
MohammedAbdelfetahGhriga.html
http___dx.doi.org_10.1016_j.fuel.2021.122545 http://dx.doi.org/10.1016/j.fuel.2021.122545
https___www.sciencedirect.com_science_article_pii_S0016236121024145 https://www.sciencedirect.com/science/article/pii/S0016236121024145
Naitou:2018:ICSE Toward Introducing Automated Program Repair Techniques to Industrial Software Development
KeigoNaitou.html
AkitoTanikado.html
ShinsukeMatsumoto.html
YoshikiHigo.html
ShinjiKusumoto.html
HiroyukiKirinuki.html
ToshiyukiKurabayashi.html
HarutoTanno.html
http___sdl.ist.osaka-u.ac.jp_pman_pman3.cgi_DOWNLOAD_422 http://sdl.ist.osaka-u.ac.jp/pman/pman3.cgi?DOWNLOAD=422
http___dx.doi.org_10.1145_3196321.3196358 http://dx.doi.org/10.1145/3196321.3196358
NAJAFIMOGHADDAMGILANI:2020:CBM Prediction and pareto-based multi-objective optimization of moisture and fatigue damages of asphalt mixtures modified with nano hydrated lime
VahidNajafiMoghaddamGilani.html
SeyedMohsenHosseinian.html
HamidBehbahani.html
GholamHosseinHamedi.html
http___dx.doi.org_10.1016_j.conbuildmat.2020.120509 http://dx.doi.org/10.1016/j.conbuildmat.2020.120509
http___www.sciencedirect.com_science_article_pii_S0950061820325149 http://www.sciencedirect.com/science/article/pii/S0950061820325149
Najafzadeh20111207 Comparison of group method of data handling based genetic programming and back propagation systems to predict scour depth around bridge piers
MohammadNajafzadeh.html
GholamAbbasBarani.html
http___dx.doi.org_10.1016_j.scient.2011.11.017 http://dx.doi.org/10.1016/j.scient.2011.11.017
http___www.sciencedirect.com_science_article_pii_S1026309811002227 http://www.sciencedirect.com/science/article/pii/S1026309811002227
Najafzadeh:2017:KSCEjce Application of model tree and Evolutionary Polynomial Regression for evaluation of sediment transport in pipes
MohammadNajafzadeh.html
DanieleBLaucelli.html
AbdolrezaZahiri.html
http___dx.doi.org_10.1007_s12205-016-1784-7 http://dx.doi.org/10.1007/s12205-016-1784-7
Najaran:2023:GPEM A probabilistic meta-heuristic optimisation algorithm for image multi-level thresholding
MohammadHassanTayaraniNajaran.html
https___rdcu.be_dpyRr https://rdcu.be/dpyRr
http___dx.doi.org_10.1007_s10710-023-09460-4 http://dx.doi.org/10.1007/s10710-023-09460-4
Naji:2016:Energy Estimating building energy consumption using extreme learning machine method
SarehNaji.html
AframKeivani.html
ShahaboddinShamshirband.html
UJohnsonAlengaram.html
MohdZaminJumaat.html
ZulkefliMansor.html
MalreyLee.html
http___dx.doi.org_10.1016_j.energy.2015.11.037 http://dx.doi.org/10.1016/j.energy.2015.11.037
http___www.sciencedirect.com_science_article_pii_S036054421501587X http://www.sciencedirect.com/science/article/pii/S036054421501587X
Nakagoe:2004:GNPwAGVSMN Genetic Network Programming with Automatically Generated Variable Size Macro Nodes
HiroshiNakagoe.html
KotaroHirasawa.html
JingluHu.html
http___dx.doi.org_10.1109_CEC.2004.1330929 http://dx.doi.org/10.1109/CEC.2004.1330929
Nakagoe:2004:ieejTEIS Genetic Network Programming with Automatically Generated Macro Nodes
HiroshiNakagoe.html
ShingoMabu.html
KotaroHirasawa.html
TakayukiHurutsuki.html
https___www.jstage.jst.go.jp_article_ieejeiss_124_8_124_8_1619__article https://www.jstage.jst.go.jp/article/ieejeiss/124/8/124_8_1619/_article
http___dx.doi.org_10.1541_ieejeiss.124.1619 http://dx.doi.org/10.1541/ieejeiss.124.1619
Nakai:2013:IIAIAAI Acquisition of Characteristic Tree Patterns with VLDC's by Genetic Programming and Edit Distance
ShoheiNakai.html
TetsuhiroMiyahara.html
TetsujiKuboyama.html
TomoyukiUchida.html
YusukeSuzuki.html
http___dx.doi.org_10.1109_IIAI-AAI.2013.79 http://dx.doi.org/10.1109/IIAI-AAI.2013.79
Nakai:2014:IWCIA Acquisition of characteristic sets of tree patterns with VLDC's using genetic programming and edit distance
ShoheiNakai.html
TetsuhiroMiyahara.html
YusukeSuzuki.html
TetsujiKuboyama.html
TomoyukiUchida.html
http___dx.doi.org_10.1109_IWCIA.2014.6988088 http://dx.doi.org/10.1109/IWCIA.2014.6988088
Nakajima:2016:APSEC Toward Developer-like Automated Program Repair: Modification Comparisons between GenProg and Developers
HirokiNakajima.html
YoshikiHigo.html
HarukiYokoyama.html
ShinjiKusumoto.html
http___dx.doi.org_10.1109_APSEC.2016.042 http://dx.doi.org/10.1109/APSEC.2016.042
nakanishi:1996:cp Capturing Preference into a Function using Interactions with a Manual Evolutionary Design Aid System
YasutoNakanishi.html
Nakano:2010:cec Automatic construction of image transformation algorithms using feature based genetic image network
YutaNakano.html
ShinichiShirakawa.html
NorikoYata.html
TomoharuNagao.html
http___dx.doi.org_10.1109_CEC.2010.5585981 http://dx.doi.org/10.1109/CEC.2010.5585981
Nakayama:2010:EuroGP Ensemble Image Classification Method Based on Genetic Image Network
ShiroNakayama.html
ShinichiShirakawa.html
NorikoYata.html
TomoharuNagao.html
http___dx.doi.org_10.1007_978-3-642-12148-7_27 http://dx.doi.org/10.1007/978-3-642-12148-7_27
Nakayama:2013:EMS Automatic Construction of Image Transformations to Produce Variously Stylized Painterly Images
KeitaNakayama.html
TomoharuNagao.html
http___dx.doi.org_10.1109_EMS.2013.42 http://dx.doi.org/10.1109/EMS.2013.42
Nallasamy20122085 Optimal control for stochastic linear quadratic singular Takagi-Sugeno fuzzy delay system using genetic programming
KumaresanNallasamy.html
KuruRatnavelu.html
http___dx.doi.org_10.1016_j.asoc.2012.03.017 http://dx.doi.org/10.1016/j.asoc.2012.03.017
http___www.sciencedirect.com_science_article_pii_S1568494612001056 http://www.sciencedirect.com/science/article/pii/S1568494612001056
nam:evows04 Two-Step Genetic Programming for Optimization of RNA Common-Structure
Jin-WuNam.html
Je-GunJoung.html
Young-SirkAhn.html
Byoung-TakZhang.html
http___bi.snu.ac.kr_Publications_Journals_International_LNCS_3005_73-83_2004_.pdf http://bi.snu.ac.kr/Publications/Journals/International/LNCS_3005_73-83(2004).pdf
http___dx.doi.org_10.1007_978-3-540-24653-4_8 http://dx.doi.org/10.1007/978-3-540-24653-4_8
Nam:2004:PRICAI Computational Methods for Identification of Human microRNA Precursors
Jin-WuNam.html
Wha-JinLee.html
Byoung-TakZhang.html
http___dx.doi.org_10.1007_978-3-540-28633-2_77 http://dx.doi.org/10.1007/978-3-540-28633-2_77
Nam:2005:NAR Human microRNA prediction through a probabilistic co-learning model of sequence and structure
Jin-WuNam.html
Ki-RooShin.html
JinjuHan.html
YoontaeLee.html
VNarryKim.html
Byoung-TakZhang.html
http___dx.doi.org_10.1093_nar_gki668 http://dx.doi.org/10.1093/nar/gki668
nam:2021:JmIr Discovery of Depression-Associated Factors From a Nationwide Population-Based Survey: Epidemiological Study Using Machine Learning and Network Analysis
SangMinNam.html
ThomasAPeterson.html
KyoungYulSeo.html
HyunWookHan.html
JeeInKang.html
https___www.jmir.org_2021_6_e27344 https://www.jmir.org/2021/6/e27344
http___dx.doi.org_10.2196_27344 http://dx.doi.org/10.2196/27344
Nametala:2022:GPEM On the performance of the Bayesian optimization algorithm with combined scenarios of search algorithms and scoring metrics
CiniroAparecidoLeiteNametala.html
WandryRFaria.html
BenvindoRPereiraJunior.html
https___rdcu.be_cM9lS https://rdcu.be/cM9lS
http___dx.doi.org_10.1007_s10710-022-09430-2 http://dx.doi.org/10.1007/s10710-022-09430-2
namjoshi:2021:ACEID Estimation of Design Shear Strength of Concrete Using Genetic Programming
PreetiNamjoshi.html
ShardulJoshi.html
http___link.springer.com_chapter_10.1007_978-981-15-6463-5_66 http://link.springer.com/chapter/10.1007/978-981-15-6463-5_66
http___dx.doi.org_10.1007_978-981-15-6463-5_66 http://dx.doi.org/10.1007/978-981-15-6463-5_66
Nan:2008:ICNC Evolutionary Based Approaches in Wireless Sensor Networks: A Survey
GuofangNan.html
MinqiangLi.html
http___dx.doi.org_10.1109_ICNC.2008.98 http://dx.doi.org/10.1109/ICNC.2008.98
Nandi:2006:EMBS Genetic Programming and Feature Selection for Classification of Breast Masses in Mammograms
RJNandi.html
AsokeKNandi.html
RMRangayyan.html
DianeScutt.html
http___dx.doi.org_10.1109_IEMBS.2006.260460 http://dx.doi.org/10.1109/IEMBS.2006.260460
nansgue:1997:ibGPp Internet-Based Genetic Programming Platform
PhadermNangsue.html
SusanEConry.html
nangsue:1998:aomdpmEA An Agent-Oriented, Massively Distributed Parallelization Model of Evolutionary Algorithms
PhadermNangsue.html
SusanEConry.html
Nanni:2008:BMCbi A genetic approach for building different alphabets for peptide and protein classification
LorisNanni.html
AlessandraLumini.html
http___www.biomedcentral.com_1471-2105_9_45 http://www.biomedcentral.com/1471-2105/9/45
http___dx.doi.org_10.1186_1471-2105-9-45 http://dx.doi.org/10.1186/1471-2105-9-45
nanni:2008:AA Genetic programming for creating Chou's pseudo amino acid based features for submitochondria localization
LorisNanni.html
AlessandraLumini.html
http___link.springer.com_article_10.1007_s00726-007-0018-1 http://link.springer.com/article/10.1007/s00726-007-0018-1
http___dx.doi.org_10.1007_s00726-007-0018-1 http://dx.doi.org/10.1007/s00726-007-0018-1
Naqvi:2016:CEC Adapting learning classifier systems to symbolic regression
SyedSaudNaqvi.html
WillNBrowne.html
http___dx.doi.org_10.1109_CEC.2016.7744061 http://dx.doi.org/10.1109/CEC.2016.7744061
Naredo:2012:evolve Disparity Map Estimation by Combining Cost Volume Measures Using Genetic Programming
EnriqueNaredo.html
EnriqueDunn.html
LeonardoTrujillo.html
http___dx.doi.org_10.1007_978-3-642-31519-0_5 http://dx.doi.org/10.1007/978-3-642-31519-0_5
naredo:2013:EuroGP Searching for Novel Classifiers
EnriqueNaredo.html
LeonardoTrujillo.html
YulianaMartinez.html
http___dx.doi.org_10.1007_978-3-642-37207-0_13 http://dx.doi.org/10.1007/978-3-642-37207-0_13
Naredo:2013:GECCO Searching for novel clustering programs
EnriqueNaredo.html
LeonardoTrujillo.html
http___dx.doi.org_10.1145_2463372.2463505 http://dx.doi.org/10.1145/2463372.2463505
Naredo:2016:IS Evolving genetic programming classifiers with novelty search
EnriqueNaredo.html
LeonardoTrujillo.html
PierrickLegrand.html
SaraSilva.html
LuisMunozDelgado.html
http___www.sciencedirect.com_science_article_pii_S002002551630473X http://www.sciencedirect.com/science/article/pii/S002002551630473X
http___dx.doi.org_10.1016_j.ins.2016.06.044 http://dx.doi.org/10.1016/j.ins.2016.06.044
Naredo:2017:SC The training set and generalization in grammatical evolution for autonomous agent navigation
EnriqueNaredo.html
PauloUrbano.html
LeonardoTrujillo.html
http___dx.doi.org_10.1007_s00500-016-2072-7 http://dx.doi.org/10.1007/s00500-016-2072-7
naredo:tel-01668776 Genetic Programming Based on Novelty Search
EnriqueNaredo.html
https___hal.inria.fr_tel-01668776_document https://hal.inria.fr/tel-01668776/document
https___hal.inria.fr_tel-01668776 https://hal.inria.fr/tel-01668776
https___hal.inria.fr_tel-01668776_file_NaredoFINALThesis.pdf https://hal.inria.fr/tel-01668776/file/NaredoFINALThesis.pdf
Naredo:2020:GECCOcomp General Controllers Evolved through Grammatical Evolution with a Divergent Search
EnriqueNaredo.html
ConorRyan.html
IvanGuevara.html
TizianaMargaria.html
PauloUrbano.html
LeonardoTrujillo.html
https___doi.org_10.1145_3377929.3390059 https://doi.org/10.1145/3377929.3390059
http___dx.doi.org_10.1145_3377929.3390059 http://dx.doi.org/10.1145/3377929.3390059
Naredo:2023:MCS Comprehensive Analysis of Learning Cases in an Autonomous Navigation Task for the Evolution of General Controllers
EnriqueNaredo.html
CandelariaElizabethSansoresPerez.html
FlavianoGodinez.html
FranciscoLopez.html
PauloUrbano.html
LeonardoTrujillo.html
ConorRyan.html
http___dx.doi.org_10.3390_mca28020035 http://dx.doi.org/10.3390/mca28020035
Narendra:2006:CG Prediction of unconfined compressive strength of soft grounds using computational intelligence techniques: A comparative study
BSNarendra.html
PVSivapullaiah.html
SundaramSuresh.html
SNOmkar.html
http___dx.doi.org_10.1016_j.compgeo.2006.03.006 http://dx.doi.org/10.1016/j.compgeo.2006.03.006
Narwal:2012:IJCSMS Keel A Data Mining Tool: Analysis With Genetic
ManjuNarwal.html
PoojaMittal.html
http___www.ijcsms.com_abstractdetails.aspx_abs_251 http://www.ijcsms.com/abstractdetails.aspx?abs=251
http___www.ijcsms.com_journals_Special_20Issue_20of_20Volume_2012__20June_202012_Paper_20104.pdf http://www.ijcsms.com/journals/Special%20Issue%20of%20Volume%2012,%20June%202012_Paper%20104.pdf
Naseer:2015:SECon Designing energy-efficient approximate adders using parallel genetic algorithms
AdnanAquibNaseer.html
RizwanAAshraf.html
DamianDechev.html
RonaldFDeMara.html
https___cal.ucf.edu_wp-content_uploads_2020_06_SECon-A-2015.pdf https://cal.ucf.edu/wp-content/uploads/2020/06/SECon-A-2015.pdf
http___dx.doi.org_10.1109_SECON.2015.7132970 http://dx.doi.org/10.1109/SECON.2015.7132970
NASER:2019:CBM Properties and material models for common construction materials at elevated temperatures
MZNaser.html
http___dx.doi.org_10.1016_j.conbuildmat.2019.04.182 http://dx.doi.org/10.1016/j.conbuildmat.2019.04.182
http___www.sciencedirect.com_science_article_pii_S0950061819310712 http://www.sciencedirect.com/science/article/pii/S0950061819310712
Nasfi:2014:PCS Extraction of Interesting Adaptation Rules
RimNasfi.html
MakramSoui.html
http___dx.doi.org_10.1016_j.procs.2014.07.081 http://dx.doi.org/10.1016/j.procs.2014.07.081
http___www.sciencedirect.com_science_article_pii_S1877050914009363 http://www.sciencedirect.com/science/article/pii/S1877050914009363
NASROLAHZADEH:2022:MLA Alzheimer's disease diagnosis using genetic programming based on higher order spectra features
MahdaNasrolahzadeh.html
ShahryarRahnamayan.html
JavadHaddadnia.html
http___dx.doi.org_10.1016_j.mlwa.2021.100225 http://dx.doi.org/10.1016/j.mlwa.2021.100225
https___www.sciencedirect.com_science_article_pii_S2666827021001134 https://www.sciencedirect.com/science/article/pii/S2666827021001134
nassar:2002:ACDFAC Automatic Creation of Digital Fast Adder Circuits by Means of Genetic Programming
KarimNassar.html
http___www.genetic-programming.org_sp2002_Nassar.pdf http://www.genetic-programming.org/sp2002/Nassar.pdf
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.140.8199 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.140.8199
Nasseri20117387 Forecasting monthly urban water demand using Extended Kalman Filter and Genetic Programming
MohsenNasseri.html
AliMoeini.html
MassoudTabesh.html
http___dx.doi.org_10.1016_j.eswa.2010.12.087 http://dx.doi.org/10.1016/j.eswa.2010.12.087
http___www.sciencedirect.com_science_article_B6V03-51PRY5V-Y_2_16bb7552eb2a17932d741aa38194b098 http://www.sciencedirect.com/science/article/B6V03-51PRY5V-Y/2/16bb7552eb2a17932d741aa38194b098
Nastran:MPT Prediction of metal wire behavior using genetic programming
MihaNastran.html
JozeBalic.html
http___www.sciencedirect.com_science_article_B6TGJ-451DC6H-6_2_2dbd0be1bb1a9934b6d589d7c58acb65 http://www.sciencedirect.com/science/article/B6TGJ-451DC6H-6/2/2dbd0be1bb1a9934b6d589d7c58acb65
http___dx.doi.org_10.1016_S0924-0136_02_00050-X http://dx.doi.org/10.1016/S0924-0136(02)00050-X
Natsui:2013:IWCIA Automatic construction of single frame super-resolution using Cartesian Genetic Programming
YusukeNatsui.html
TomoharuNagao.html
http___dx.doi.org_10.1109_IWCIA.2013.6624803 http://dx.doi.org/10.1109/IWCIA.2013.6624803
Natsui:2016:IWCIA Single frame super-resolution using multiple graph structured program
YusukeNatsui.html
TomoharuNagao.html
http___dx.doi.org_10.1109_IWCIA.2016.7805752 http://dx.doi.org/10.1109/IWCIA.2016.7805752
navarro-caceres:2020:AS Assistive Model to Generate Chord Progressions Using Genetic Programming with Artificial Immune Properties
MariaNavarro-Caceres.html
JavierFelixMerchanSanchez-Jara.html
ValderiReisQuietinhoLeithardt.html
RaulGarcia-Ovejero.html
https___www.mdpi.com_2076-3417_10_17_6039 https://www.mdpi.com/2076-3417/10/17/6039
http___dx.doi.org_10.3390_app10176039 http://dx.doi.org/10.3390/app10176039
NAYAK:2022:matpr Genetic programming approach to predict the performance characteristics of WEDM taper cutting process
BijayaBijetaNayak.html
NitishKumar.html
AbhishekSingh.html
SasmitaSahu.html
ShivSankarDas.html
DebashreeDebadattaBehera.html
RitaKumariSahu.html
http___dx.doi.org_10.1016_j.matpr.2022.04.948 http://dx.doi.org/10.1016/j.matpr.2022.04.948
https___www.sciencedirect.com_science_article_pii_S2214785322031522 https://www.sciencedirect.com/science/article/pii/S2214785322031522
Nayyeri:2012:CCECE Modeling aircraft jet engine and system identification by using Genetic Programming
SeyedHosseinNayyeri.html
Khashayar_Kash_Khorasani.html
http___dx.doi.org_10.1109_CCECE.2012.6334869 http://dx.doi.org/10.1109/CCECE.2012.6334869
Nazari20113966 Computer-aided design of the effects of Fe2O3 nanoparticles on split tensile strength and water permeability of high strength concrete
AliNazari.html
ShadiRiahi.html
http___dx.doi.org_10.1016_j.matdes.2011.01.064 http://dx.doi.org/10.1016/j.matdes.2011.01.064
http___www.sciencedirect.com_science_article_B6TX5-52F88YN-5_2_1cb3e97f2108ac3b0aeec50be6ccb86f http://www.sciencedirect.com/science/article/B6TX5-52F88YN-5/2/1cb3e97f2108ac3b0aeec50be6ccb86f
Nazari2011473 Prediction split tensile strength and water permeability of high strength concrete containing TiO2 nanoparticles by artificial neural network and genetic programming
AliNazari.html
ShadiRiahi.html
http___dx.doi.org_10.1016_j.compositesb.2010.12.004 http://dx.doi.org/10.1016/j.compositesb.2010.12.004
http___www.sciencedirect.com_science_article_B6TWK-51P9X22-2_2_c880a08e046f39a96d8b52a6df27266e http://www.sciencedirect.com/science/article/B6TWK-51P9X22-2/2/c880a08e046f39a96d8b52a6df27266e
Nazari201283 Computer-aided Prediction of the ZrO2 Nanoparticles' Effects on Tensile Strength and Percentage of Water Absorption of Concrete Specimens
AliNazari.html
ShadiRiahi.html
http___dx.doi.org_10.1016_S1005-0302_12_60027-9 http://dx.doi.org/10.1016/S1005-0302(12)60027-9
http___www.sciencedirect.com_science_article_pii_S1005030212600279 http://www.sciencedirect.com/science/article/pii/S1005030212600279
Nazari:2012:MR Prediction the effects of ZnO2 nanoparticles on splitting tensile strength and water absorption of high strength concrete
AliNazari.html
TohidAzimzadegan.html
http___www.scielo.br_scielo.php_script_sci_arttext_pid_S1516-14392012000300016_lng_en_nrm_iso_tlng_en http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-14392012000300016&lng=en&nrm=iso&tlng=en
http___dx.doi.org_10.1590_S1516-14392012005000057 http://dx.doi.org/10.1590/S1516-14392012005000057
Nazari:2013:CI Modeling Charpy impact behavior of Al6061/SiCp laminated nanocomposites by genetic programming
AliNazari.html
VahidrezaAbdinejad.html
http___dx.doi.org_10.1016_j.ceramint.2012.08.051 http://dx.doi.org/10.1016/j.ceramint.2012.08.051
http___www.sciencedirect.com_science_article_pii_S0272884212007985 http://www.sciencedirect.com/science/article/pii/S0272884212007985
journals/nca/NazariR13a Predicting the effects of nanoparticles on compressive strength of ash-based geopolymers by gene expression programming
AliNazari.html
ShadiRiahi.html
http___dx.doi.org_10.1007_s00521-012-1127-7 http://dx.doi.org/10.1007/s00521-012-1127-7
Nazari:2013:MD Compressive strength of geopolymers produced by ordinary Portland cement: Application of genetic programming for design
AliNazari.html
http___dx.doi.org_10.1016_j.matdes.2012.07.012 http://dx.doi.org/10.1016/j.matdes.2012.07.012
http___www.sciencedirect.com_science_article_pii_S0261306912004645 http://www.sciencedirect.com/science/article/pii/S0261306912004645
Nazari:2013:ESA Modeling the compressive strength of geopolymeric binders by gene expression programming-GEP
AliNazari.html
FernandoPachecoTorgal.html
http___www.sciencedirect.com_science_article_pii_S0957417413002510 http://www.sciencedirect.com/science/article/pii/S0957417413002510
http___dx.doi.org_10.1016_j.eswa.2013.04.014 http://dx.doi.org/10.1016/j.eswa.2013.04.014
Nazari:2015:ES Modelling of upheaval buckling of offshore pipeline buried in clay soil using genetic programming
AliNazari.html
PathmanathanRajeev.html
JayGSanjayan.html
http___dx.doi.org_10.1016_j.engstruct.2015.07.013 http://dx.doi.org/10.1016/j.engstruct.2015.07.013
http___www.sciencedirect.com_science_article_pii_S0141029615004563 http://www.sciencedirect.com/science/article/pii/S0141029615004563
journals/nca/Nazari19a Predicting the total specific pore volume of geopolymers produced from waste ashes by gene expression programming
AliNazari.html
http___dx.doi.org_10.1007_s00521-012-1135-7 http://dx.doi.org/10.1007/s00521-012-1135-7
NAZARI:2021:CPBE Retraction notice to Prediction split tensile strength and water permeability of high strength concrete containing TiO2 nanoparticles by artificial neural network and genetic programming [Composites Part B 42 (2011) 473-48]
AliNazari.html
ShadiRiahi.html
http___dx.doi.org_10.1016_j.compositesb.2021.108990 http://dx.doi.org/10.1016/j.compositesb.2021.108990
https___www.sciencedirect.com_science_article_pii_S1359836821003784 https://www.sciencedirect.com/science/article/pii/S1359836821003784
Neapolitan:CAI Contemporary Artificial Intelligence
RichardENeapolitan.html
XiaJiang.html
https___www.crcpress.com_Contemporary-Artificial-Intelligence_Neapolitan-Jiang_p_book_9781439844694 https://www.crcpress.com/Contemporary-Artificial-Intelligence/Neapolitan-Jiang/p/book/9781439844694
NECHITA:2021:IFAC-PapersOnLine Data-driven System Identification of Thermal Systems using Machine Learning
Stefan-CristianNechita.html
RolandToth.html
KoosvanBerkel.html
http___dx.doi.org_10.1016_j.ifacol.2021.08.352 http://dx.doi.org/10.1016/j.ifacol.2021.08.352
https___www.sciencedirect.com_science_article_pii_S2405896321011265 https://www.sciencedirect.com/science/article/pii/S2405896321011265
NECHITA:2021:IFAC-PapersOnLinea Toolbox for Discovering Dynamic System Relations via TAG Guided Genetic Programming
Stefan-CristianNechita.html
RolandToth.html
DhruvKhandelwal.html
MaartenSchoukens.html
https___research.tue.nl_en_publications_toolbox-for-discovering-dynamic-system-relations-via-tag-guided-g https://research.tue.nl/en/publications/toolbox-for-discovering-dynamic-system-relations-via-tag-guided-g
http___dx.doi.org_10.1016_j.ifacol.2021.08.389 http://dx.doi.org/10.1016/j.ifacol.2021.08.389
https___www.sciencedirect.com_science_article_pii_S2405896321011630 https://www.sciencedirect.com/science/article/pii/S2405896321011630
nedjah:2003:IDEAL Evolvable Hardware Using Genetic Programming
NadiaNedjah.html
LuizadeMacedoMourelle.html
http___link.springer.com_chapter_10.1007_978-3-540-45080-1_42 http://link.springer.com/chapter/10.1007/978-3-540-45080-1_42
http___dx.doi.org_10.1007_978-3-540-45080-1_42 http://dx.doi.org/10.1007/978-3-540-45080-1_42
nedjah:2004:sehfpc Secure Evolutionary Hardware for Public-Key Cryptosystems
NadiaNedjah.html
LuizadeMacedoMourelle.html
http___dx.doi.org_10.1109_CEC.2004.1331160 http://dx.doi.org/10.1109/CEC.2004.1331160
Nedjah:2005:Informatica Multi-Objective CMOS-Targeted Evolutionary Hardware for Combinational Digital Circuits
NadiaNedjah.html
LuizadeMacedoMourelle.html
http___www.informatica.si_index.php_informatica_article_view_45 http://www.informatica.si/index.php/informatica/article/view/45
http___www.informatica.si_PDF_29-3_07_Nedjah-Multi-Objective_20CMOS....pdf http://www.informatica.si/PDF/29-3/07_Nedjah-Multi-Objective%20CMOS....pdf
nedjah:2006:GSP Evolutionary Pattern Matching Using Genetic Programming
NadiaNedjah.html
LuizadeMacedoMourelle.html
http___dx.doi.org_10.1007_3-540-32498-4_4 http://dx.doi.org/10.1007/3-540-32498-4_4
nedjah:2006:GSP2 Evolutionary Digital Circuit Design Using Genetic Programming
NadiaNedjah.html
LuizadeMacedoMourelle.html
http___dx.doi.org_10.1007_3-540-32498-4_7 http://dx.doi.org/10.1007/3-540-32498-4_7
Nedjah:2006:ICCES Genetically Programmed Pattern Matching for Overlapping Patterns
NadiaNedjah.html
LuizadeMacedoMourelle.html
http___dx.doi.org_10.1109_ICCES.2006.320482 http://dx.doi.org/10.1109/ICCES.2006.320482
neely:1997:JFQA Is Technical Analysis in the Foreign Exchange Market Profitable? A Genetic Programming Approach
ChristopherJNeely.html
PaulAWeller.html
RobDittmar.html
http___links.jstor.org_sici_sici_0022-1090_28199712_2932_3A4_3C405_3AITAITF_3E2.0.CO_3B2-T http://links.jstor.org/sici?sici=0022-1090%28199712%2932%3A4%3C405%3AITAITF%3E2.0.CO%3B2-T
Neely:1999:JIMF Technical trading rules in the European Monetary System
ChristopherJNeely.html
PaulAWeller.html
http___research.stlouisfed.org_wp_1997_97-015.pdf http://research.stlouisfed.org/wp/1997/97-015.pdf
http___dx.doi.org_10.1016_S0261-5606_99_85005-0 http://dx.doi.org/10.1016/S0261-5606(99)85005-0
99-016 Intraday Technical Trading in the Foreign Exchange Market
ChristopherJNeely.html
PaulAWeller.html
http___research.stlouisfed.org_wp_1999_99-016.pdf http://research.stlouisfed.org/wp/1999/99-016.pdf
neely:2001:JIMF Technical analysis and central bank intervention
ChristopherJNeely.html
PaulAWeller.html
http___research.stlouisfed.org_wp_1997_97-002.pdf http://research.stlouisfed.org/wp/1997/97-002.pdf
http___dx.doi.org_10.1016_S0261-5606_01_00033-X http://dx.doi.org/10.1016/S0261-5606(01)00033-X
http___www.sciencedirect.com_science_article_B6V9S-44KKT23-1_2_bb14f001df9abb98399aec02c5eb0ef0 http://www.sciencedirect.com/science/article/B6V9S-44KKT23-1/2/bb14f001df9abb98399aec02c5eb0ef0
neely:2001-009B Predicting Exchange Rate Volatility: Genetic Programming vs. GARCH and Risk Metrics
ChristopherJNeely.html
PaulAWeller.html
http___research.stlouisfed.org_wp_2001_2001-009.pdf http://research.stlouisfed.org/wp/2001/2001-009.pdf
neely:2002:perv Predicting Exchange Rate Volatility: Genetic Programming vs. GARCH and RiskMetrics
ChristopherJNeely.html
PaulAWeller.html
http___research.stlouisfed.org_publications_review_02_05_43-54NeelyWeller.pdf http://research.stlouisfed.org/publications/review/02/05/43-54NeelyWeller.pdf
neely:2002:GAGPCF Using a Genetic Program to Predict Exchange Rate Volatility
ChristopherJNeely.html
PaulAWeller.html
http___www.springer.com_economics_economic_theory_book_978-0-7923-7601-9 http://www.springer.com/economics/economic+theory/book/978-0-7923-7601-9
http___dx.doi.org_10.1007_978-1-4615-0835-9_13 http://dx.doi.org/10.1007/978-1-4615-0835-9_13
43-54NeelyWeller Predicting Exchange Rate Volatility: Genetic Programming Versus GARCH and RiskMetrics
ChristopherJNeely.html
PaulAWeller.html
http___research.stlouisfed.org_publications_review_article_2325 http://research.stlouisfed.org/publications/review/article/2325
http___research.stlouisfed.org_publications_review_02_05_43-54NeelyWeller.pdf http://research.stlouisfed.org/publications/review/02/05/43-54NeelyWeller.pdf
neely:2003:IREF Risk-adjusted, ex ante, optimal technical trading rules in equity markets
ChristopherJNeely.html
http___research.stlouisfed.org_wp_1999_1999-015.pdf http://research.stlouisfed.org/wp/1999/1999-015.pdf
http___www.sciencedirect.com_science_article_B6W4V-45Y6NP2-2_2_509ab197233d25f28135f96076539edf http://www.sciencedirect.com/science/article/B6W4V-45Y6NP2-2/2/509ab197233d25f28135f96076539edf
http___dx.doi.org_10.1016_S1059-0560_02_00129-6 http://dx.doi.org/10.1016/S1059-0560(02)00129-6
neely:2003:JIMF Intraday technical trading in the foreign exchange market
ChristopherJNeely.html
PaulAWeller.html
http___dx.doi.org_10.1016_S0261-5606_02_00101-8 http://dx.doi.org/10.1016/S0261-5606(02)00101-8
neely:2006-046 The adaptive markets hypothesis: evidence from the foreign exchange market
ChristopherJNeely.html
PaulAWeller.html
JoshuaMUlrich.html
http___research.stlouisfed.org_wp_2006_2006-046.pdf http://research.stlouisfed.org/wp/2006/2006-046.pdf
Neely:2009:JFQA The Adaptive Markets Hypothesis: Evidence from the Foreign Exchange Market
ChristopherJNeely.html
PaulAWeller.html
JoshuaMUlrich.html
http___dx.doi.org_10.1017_S0022109009090103 http://dx.doi.org/10.1017/S0022109009090103
neff:1997:GPposec Using Genetic Programming to Predict the Occurrence of Species in Ecological Communities
ADarcieNeff.html
JamesWHaefner.html
RaymondDDueser.html
Neil96 The MML evolution of classification graphs
JulianRNeil.html
KevinBKorb.html
http___www.csse.monash.edu.au_publications_1996_tr-cs96-252.ps.gz http://www.csse.monash.edu.au/publications/1996/tr-cs96-252.ps.gz
Neil:1999:ECM The Evolution of Causal Models: A Comparison of Bayesian Metrics and Structure Priors
JulianRNeil.html
KevinBKorb.html
http___dx.doi.org_10.1007_3-540-48912-6_57 http://dx.doi.org/10.1007/3-540-48912-6_57
neirotti:2002:0209048 Dynamical transitions in the evolution of learning algorithms by selection
JuanPabloNeirotti.html
NestorCaticha.html
http___arxiv.org_PS_cache_physics_pdf_0209_0209048.pdf http://arxiv.org/PS_cache/physics/pdf/0209/0209048.pdf
http___arxiv.org_abs_physics_0209048 http://arxiv.org/abs/physics/0209048
Neirotti:2006:JP Statistical mechanics of program systems
JuanPabloNeirotti.html
NestorCaticha.html
http___www.ncrg.aston.ac.uk__neirotjp_publications_jpa-2006.pdf http://www.ncrg.aston.ac.uk/~neirotjp/publications/jpa-2006.pdf
http___dx.doi.org_10.1088_0305-4470_39_33_006 http://dx.doi.org/10.1088/0305-4470/39/33/006
NEKOEI:2020:IS Introduction of ABCEP as an Automatic Programming Method
MasoodNekoei.html
SeyedAmirhosseinMoghaddas.html
EmadaldinMohammadiGolafshani.html
AHGandomi.html
http___www.sciencedirect.com_science_article_pii_S0020025520309300 http://www.sciencedirect.com/science/article/pii/S0020025520309300
http___dx.doi.org_10.1016_j.ins.2020.09.020 http://dx.doi.org/10.1016/j.ins.2020.09.020
Nel:mastersthesis A Memetic Genetic Program for Knowledge Discovery
GertNel.html
http___upetd.up.ac.za_thesis_available_etd-06092005-091517_unrestricted_00dissertation.pdf http://upetd.up.ac.za/thesis/available/etd-06092005-091517/unrestricted/00dissertation.pdf
Nelson2009345 Fitness functions in evolutionary robotics: A survey and analysis
AndrewLNelson.html
GregoryJBarlow.html
LefterisDoitsidis.html
http___dx.doi.org_10.1016_j.robot.2008.09.009 http://dx.doi.org/10.1016/j.robot.2008.09.009
http___www.sciencedirect.com_science_article_B6V16-4TTMJV3-1_2_2549524d8e0f3982730659e49ad3fa75 http://www.sciencedirect.com/science/article/B6V16-4TTMJV3-1/2/2549524d8e0f3982730659e49ad3fa75
NEMBHARD:2018:CIE A symbolic genetic programming approach for identifying models of learning-by-doing
DavidANembhard.html
YuzhiSun.html
http___dx.doi.org_10.1016_j.cie.2018.08.020 http://dx.doi.org/10.1016/j.cie.2018.08.020
http___www.sciencedirect.com_science_article_pii_S0360835218304005 http://www.sciencedirect.com/science/article/pii/S0360835218304005
Nemeth:2024:GI Ecosystem Curation in Genetic Improvement for Emergent Software Systems
ZsoltNemeth.html
PenelopeFaulknerRainford.html
BarryPorter.html
http___gpbib.cs.ucl.ac.uk_gi2024_GI_ICSE2024_Nemeth.pdf http://gpbib.cs.ucl.ac.uk/gi2024/GI_ICSE2024_Nemeth.pdf
http___dx.doi.org_10.1145_3643692.3648260 http://dx.doi.org/10.1145/3643692.3648260
DBLP:conf/ausai/NeshatianZJ07 Feature Construction and Dimension Reduction Using Genetic Programming
KouroshNeshatian.html
MengjieZhang.html
MarkJohnston.html
http___dx.doi.org_10.1007_978-3-540-76928-6_18 http://dx.doi.org/10.1007/978-3-540-76928-6_18
conf/eurogp/NeshatianZ08 Genetic Programming and Class-Wise Orthogonal Transformation for Dimension Reduction in Classification Problems
KouroshNeshatian.html
MengjieZhang.html
http___dx.doi.org_10.1007_978-3-540-78671-9_21 http://dx.doi.org/10.1007/978-3-540-78671-9_21
Neshatian:2008:cec Genetic Programming for Performance Improvement and Dimensionality Reduction of Classification Problems
KouroshNeshatian.html
MengjieZhang.html
http___dx.doi.org_10.1109_CEC.2008.4631175 http://dx.doi.org/10.1109/CEC.2008.4631175
DBLP:conf/seal/NeshatianZA08 Genetic Programming for Feature Ranking in Classification Problems
KouroshNeshatian.html
MengjieZhang.html
PeterAndreae.html
http___dx.doi.org_10.1007_978-3-540-89694-4_55 http://dx.doi.org/10.1007/978-3-540-89694-4_55
Neshatian:2009:eurogp Genetic Programming for Feature Subset Ranking in Binary Classification Problems
KouroshNeshatian.html
MengjieZhang.html
http___dx.doi.org_10.1007_978-3-642-01181-8_11 http://dx.doi.org/10.1007/978-3-642-01181-8_11
DBLP:conf/gecco/NeshatianZ09 Pareto front feature selection: using genetic programming to explore feature space
KouroshNeshatian.html
MengjieZhang.html
http___dx.doi.org_10.1145_1569901.1570040 http://dx.doi.org/10.1145/1569901.1570040
Neshatian:2009:IVCNZ Dimensionality reduction in face detection: A genetic programming approach
KouroshNeshatian.html
MengjieZhang.html
http___dx.doi.org_10.1109_IVCNZ.2009.5378375 http://dx.doi.org/10.1109/IVCNZ.2009.5378375
DBLP:conf/ausai/NeshatianZ09 Unsupervised Elimination of Redundant Features Using Genetic Programming
KouroshNeshatian.html
MengjieZhang.html
http___dx.doi.org_10.1007_978-3-642-10439-8_44 http://dx.doi.org/10.1007/978-3-642-10439-8_44
journals/connection/NeshatianZ11 Using genetic programming for context-sensitive feature scoring in classification problems
KouroshNeshatian.html
MengjieZhang.html
http___www.tandfonline.com_doi_abs_10.1080_09540091.2011.630065 http://www.tandfonline.com/doi/abs/10.1080/09540091.2011.630065
http___www.tandfonline.com_doi_pdf_10.1080_09540091.2011.630065 http://www.tandfonline.com/doi/pdf/10.1080/09540091.2011.630065
http___dx.doi.org_10.1080_09540091.2011.630065 http://dx.doi.org/10.1080/09540091.2011.630065
neshatian:2012:EuroGP Improving Relevance Measures Using Genetic Programming
KouroshNeshatian.html
MengjieZhang.html
http___dx.doi.org_10.1007_978-3-642-29139-5_9 http://dx.doi.org/10.1007/978-3-642-29139-5_9
Neshatian:2012:ieeeTEC A Filter Approach to Multiple Feature Construction for Symbolic Learning Classifiers Using Genetic Programming
KouroshNeshatian.html
MengjieZhang.html
PeterAndreae.html
http___dx.doi.org_10.1109_TEVC.2011.2166158 http://dx.doi.org/10.1109/TEVC.2011.2166158
Neshatian:2017:SSCI On the existence of feature bundles and their effect on symbolic regression algorithms
KouroshNeshatian.html
LucianneVarn.html
http___dx.doi.org_10.1109_SSCI.2017.8285419 http://dx.doi.org/10.1109/SSCI.2017.8285419
Nesse:2021:GPTP Why Evolved Systems Fail and the Mystery of Health - The Perspective of Evolutionary Medicine
RandolphMNesse.html
https___mediaspace.msu.edu_media_Nesse_Keynote_GPTP_2021_1_7k6k9mpv https://mediaspace.msu.edu/media/Nesse_Keynote_GPTP_2021/1_7k6k9mpv
Neumann:2019:GECCOcomp Evolutionary computation for digital art
AnetaNeumann.html
FrankNeumann.html
http___dx.doi.org_10.1145_3319619.3323375 http://dx.doi.org/10.1145/3319619.3323375
Neumann:2020:GECCOcomp Evolutionary Computation for Digital Art
AnetaNeumann.html
FrankNeumann.html
https___doi.org_10.1145_3377929.3389853 https://doi.org/10.1145/3377929.3389853
http___dx.doi.org_10.1145_3377929.3389853 http://dx.doi.org/10.1145/3377929.3389853
Neumann:2010:Dagstuhl Computational Complexity Analysis of Simple Genetic Programming On Two Problems Modeling Isolated Program Semantics
FrankNeumann.html
http___drops.dagstuhl.de_opus_volltexte_2010_2818 http://drops.dagstuhl.de/opus/volltexte/2010/2818
Neumann:2011:GPTP Computational Complexity Analysis of Genetic Programming - Initial Results and Future Directions
FrankNeumann.html
Una-MayO'Reilly.html
MarkusWagner.html
http___cs.adelaide.edu.au__markus_pub_2011gptp.pdf http://cs.adelaide.edu.au/~markus/pub/2011gptp.pdf
http___dx.doi.org_10.1007_978-1-4614-1770-5_7 http://dx.doi.org/10.1007/978-1-4614-1770-5_7
Neumann:2012:GECCO Computational complexity analysis of multi-objective genetic programming
FrankNeumann.html
http___dx.doi.org_10.1145_2330163.2330274 http://dx.doi.org/10.1145/2330163.2330274
Neumann:2020:CEJ A new formulation for symbolic regression to identify physico-chemical laws from experimental data
PascalNeumann.html
LiweiCao.html
DaniloRusso.html
VassiliosSVassiliadis.html
AlexeiALapkin.html
https___www.sciencedirect.com_science_article_pii_S1385894719328256 https://www.sciencedirect.com/science/article/pii/S1385894719328256
http___dx.doi.org_10.1016_j.cej.2019.123412 http://dx.doi.org/10.1016/j.cej.2019.123412
2743 Large Scale Parameter Meta-Optimization of Metaheuristic Optimization Algorithms with HeuristicLab Hive
ChristophNeumueller.html
AndreasScheibenpflug.html
StefanWagner.html
AndreasBeham.html
MichaelAffenzeller.html
http___research.fh-ooe.at_files_publications_2743_MAEB2012.pdf http://research.fh-ooe.at/files/publications/2743_MAEB2012.pdf
https___www.researchgate.net_profile_Andreas_Beham_publication_230701425_Large_Scale_Parameter_Meta-Optimization_of_Metaheuristic_Optimization_Algorithms_with_HeuristicLab_Hive_links_00b7d5332f7035c977000000_Large-Scale-Parameter-Meta-Optimization-of-Metaheuristic-Optimization-Algorithms-with-HeuristicLab-Hive.pdf https://www.researchgate.net/profile/Andreas_Beham/publication/230701425_Large_Scale_Parameter_Meta-Optimization_of_Metaheuristic_Optimization_Algorithms_with_HeuristicLab_Hive/links/00b7d5332f7035c977000000/Large-Scale-Parameter-Meta-Optimization-of-Metaheuristic-Optimization-Algorithms-with-HeuristicLab-Hive.pdf
http___dev.heuristiclab.com http://dev.heuristiclab.com
2736 Parameter Meta-optimization of Metaheuristic Optimization Algorithms
ChristophNeumueller.html
StefanWagner.html
GabrielKronberger.html
MichaelAffenzeller.html
https___link.springer.com_chapter_10.1007_978-3-642-27549-4_47 https://link.springer.com/chapter/10.1007/978-3-642-27549-4_47
http___dx.doi.org_10.1007_978-3-642-27549-4_47 http://dx.doi.org/10.1007/978-3-642-27549-4_47
Neupane:2018:GECCO GEESE: grammatical evolution algorithm for evolution of swarm behaviors
AadeshNeupane.html
MichaelAGoodrich.html
EricGMercer.html
http___dx.doi.org_10.1145_3205455.3205619 http://dx.doi.org/10.1145/3205455.3205619
conf/atal/NeupaneG19 Designing Emergent Swarm Behaviors using Behavior Trees and Grammatical Evolution
AadeshNeupane.html
MichaelAGoodrich.html
http___dl.acm.org_citation.cfm_id_3306127 http://dl.acm.org/citation.cfm?id=3306127
conf/ijcai/NeupaneG19 Learning Swarm Behaviors using Grammatical Evolution and Behavior Trees
AadeshNeupane.html
MichaelAGoodrich.html
http___dx.doi.org_10.24963_ijcai.2019_73 http://dx.doi.org/10.24963/ijcai.2019/73
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JoseCarlosFerreiraMaiaNeves.html
JoseManuelFerreiraMachado.html
CesarAnalide.html
AntonioCarlosdaSilvaAbelha.html
LuisBrito.html
http___dx.doi.org_10.1007_978-3-540-77002-2_14 http://dx.doi.org/10.1007/978-3-540-77002-2_14
Nevoral:2017:DTIS Compact library of efficient polymorphic gates based on ambipolar transistors
JanNevoral.html
VaclavSimek.html
RichardRuzicka.html
http___dx.doi.org_10.1109_DTIS.2017.7930180 http://dx.doi.org/10.1109/DTIS.2017.7930180
Nezirevic:2016:TMT Modeling Of The Pressing Forces Using Genetic Programming
EkremNezirevic.html
BahrudinHrnjica.html
AtifHodzic.html
http___www.tmt.unze.ba_zbornik_TMT2016_005.pdf http://www.tmt.unze.ba/zbornik/TMT2016/005.pdf
NG:2022:ijhydene Modeling interfacial tension of the hydrogen-brine system using robust machine learning techniques: Implication for underground hydrogen storage
CuthbertShangWuiNg.html
HakimDjema.html
MenadNaitAmar.html
AshkanJahanbaniGhahfarokhi.html
https___www.sciencedirect.com_science_article_pii_S0360319922042616 https://www.sciencedirect.com/science/article/pii/S0360319922042616
http___dx.doi.org_10.1016_j.ijhydene.2022.09.120 http://dx.doi.org/10.1016/j.ijhydene.2022.09.120
KuanLuenNg:2002:IRS Evolving Programs and Solutions Using Genetic Programming with Application to Learning and Adaptive Control
KuanLuenNg.html
RolfJohansson.html
http___dx.doi.org_10.1023_A_1021123520925 http://dx.doi.org/10.1023/A:1021123520925
ngan:1998:ugbGPdmmk Using Grammar Based Genetic Programming for Data Mining of Medical Knowledge
PoShunNgan.html
ManLeungWong.html
Kwong-SakLeung.html
JackChun-yiuCheng.html
http___cptra.ln.edu.hk__mlwong_conference_gp1998b.pdf http://cptra.ln.edu.hk/~mlwong/conference/gp1998b.pdf
Ngan:1999:AIM Medical Data Mining Using Evolutionary Computation
PoShunNgan.html
ManLeungWong.html
WaiLam.html
Kwong-SakLeung.html
JackChun-yiuCheng.html
http___cptra.ln.edu.hk__mlwong_journal_aim1999.pdf http://cptra.ln.edu.hk/~mlwong/journal/aim1999.pdf
http___www.sciencedirect.com_science_article_B6T4K-3W379P8-5_2_c1aa52f42fe5376c7088f6120ae9be06 http://www.sciencedirect.com/science/article/B6T4K-3W379P8-5/2/c1aa52f42fe5376c7088f6120ae9be06
http___dx.doi.org_10.1016_S0933-3657_98_00065-7 http://dx.doi.org/10.1016/S0933-3657(98)00065-7
conf/esws/NgomoL12 EAGLE: Efficient Active Learning of Link Specifications Using Genetic Programming
Axel-CyrilleNgongaNgomo.html
KlausLyko.html
http___dx.doi.org_10.1007_978-3-642-30284-8_17 http://dx.doi.org/10.1007/978-3-642-30284-8_17
DBLP:conf/esws/NgomoLC13 COALA - Correlation-Aware Active Learning of Link Specifications
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KlausLyko.html
VictorChristen.html
https___doi.org_10.1007_978-3-642-38288-8_30 https://doi.org/10.1007/978-3-642-38288-8_30
http___dx.doi.org_10.1007_978-3-642-38288-8_30 http://dx.doi.org/10.1007/978-3-642-38288-8_30
https___dblp.org_rec_bib_conf_esws_NgomoLC13 https://dblp.org/rec/bib/conf/esws/NgomoLC13
Nguyen:2013:foga Single- and Multi-Objective Genetic Programming: New Bounds for Weighted ORDER and MAJORITY
AnhQuangNguyen.html
TommasoUrli.html
MarkusWagner.html
http___cs.adelaide.edu.au__markus_pub_2013foga-gp.pdf http://cs.adelaide.edu.au/~markus/pub/2013foga-gp.pdf
http___doi.acm.org_10.1145_2460239.2460254 http://doi.acm.org/10.1145/2460239.2460254
http___dx.doi.org_10.1145_2460239.2460254 http://dx.doi.org/10.1145/2460239.2460254
Nguyen:2015:TCS Population size matters: Rigorous runtime results for maximizing the hypervolume indicator
AnhQuangNguyen.html
AndrewMSutton.html
FrankNeumann.html
http___dx.doi.org_10.1016_j.tcs.2014.06.023 http://dx.doi.org/10.1016/j.tcs.2014.06.023
http___www.sciencedirect.com_science_article_pii_S0304397514004599 http://www.sciencedirect.com/science/article/pii/S0304397514004599
Bach_Hoai_Nguyen:thesis Evolutionary Computation for Feature Selection in Classification
BachHoaiNguyen.html
http___hdl.handle.net_10063_7821 http://hdl.handle.net/10063/7821
https___researcharchive.vuw.ac.nz_xmlui_bitstream_handle_10063_7821_thesis_access.pdf https://researcharchive.vuw.ac.nz/xmlui/bitstream/handle/10063/7821/thesis_access.pdf
Nguyen:2013:ICSE SemFix: Program repair via semantic analysis
HoangDuongThienNguyen.html
DaweiQi.html
AbhikRoychoudhury.html
SatishChandra.html
https___www.comp.nus.edu.sg__abhik_pdf_ICSE13-SEMFIX.pdf https://www.comp.nus.edu.sg/~abhik/pdf/ICSE13-SEMFIX.pdf
http___dx.doi.org_10.1109_ICSE.2013.6606623 http://dx.doi.org/10.1109/ICSE.2013.6606623
Nguyen:2020:ATC Genetic Programming for automated Synthesizing 3D Artificial Magnetic Conductor
KhacSonNguyen.html
ThuanBuiBach.html
ManhCuongBui.html
HoaPhuongTranThi.html
KhacKiemNguyen.html
SonXuatTa.html
ChienDaoNgoc.html
http___dx.doi.org_10.1109_ATC50776.2020.9255428 http://dx.doi.org/10.1109/ATC50776.2020.9255428
NGUYEN:2020:isatra An automated health indicator construction methodology for prognostics based on multi-criteria optimization
KhanhTPNguyen.html
KamalMedjaher.html
http___dx.doi.org_10.1016_j.isatra.2020.03.017 http://dx.doi.org/10.1016/j.isatra.2020.03.017
http___www.sciencedirect.com_science_article_pii_S0019057820301257 http://www.sciencedirect.com/science/article/pii/S0019057820301257
Nguyen:2009:eurogp Semantic Aware Crossover for Genetic Programming: The Case for Real-Valued Function Regression
QuangUyNguyen.html
NguyenXuanHoai.html
MichaelO'Neill.html
http___dx.doi.org_10.1007_978-3-642-01181-8_25 http://dx.doi.org/10.1007/978-3-642-01181-8_25
Nguyen:2009:MENDEL Semantics based Mutation in Genetic Programming: The case for Real-valued Symbolic Regression
QuangUyNguyen.html
NguyenXuanHoai.html
MichaelO'Neill.html
http___ncra.ucd.ie_papers_mendel2009SSM.pdf http://ncra.ucd.ie/papers/mendel2009SSM.pdf
Nguyen:2009:EA Semantic Similarity based Crossover in GP: The case for Real-valued Function Regression
QuangUyNguyen.html
MichaelO'Neill.html
NguyenXuanHoai.html
RI_Bob_McKay.html
EdgarGalvanLopez.html
http___dx.doi.org_10.1007_978-3-642-14156-0_15 http://dx.doi.org/10.1007/978-3-642-14156-0_15
Uy:2009:ISICA An Analysis of Semantic Aware Crossover
QuangUyNguyen.html
NguyenXuanHoai.html
MichaelO'Neill.html
RI_Bob_McKay.html
EdgarGalvanLopez.html
http___dx.doi.org_10.1007_978-3-642-04962-0_7 http://dx.doi.org/10.1007/978-3-642-04962-0_7
Nguyen:2010:EuroGP Improving the Generalisation Ability of Genetic Programming with Semantic Similarity based Crossover
QuangUyNguyen.html
NguyenThiHien.html
NguyenXuanHoai.html
MichaelO'Neill.html
http___dx.doi.org_10.1007_978-3-642-12148-7_16 http://dx.doi.org/10.1007/978-3-642-12148-7_16
Uy:2010:gecco Semantics Based Crossover for Boolean Problems
QuangUyNguyen.html
NguyenXuanHoai.html
MichaelO'Neill.html
RI_Bob_McKay.html
http___dx.doi.org_10.1145_1830483.1830642 http://dx.doi.org/10.1145/1830483.1830642
q.u.nguyen_etal:cec2010 Self-Adapting Semantic Sensitivities for Semantic Similarity Based Crossover
QuangUyNguyen.html
RI_Bob_McKay.html
MichaelO'Neill.html
NguyenXuanHoai.html
http___dx.doi.org_10.1109_CEC.2010.5586052 http://dx.doi.org/10.1109/CEC.2010.5586052
q.u.nguyen_etal:ppsn2010 The Role of Syntactic and Semantic Locality of Crossover in Genetic Programming
QuangUyNguyen.html
NguyenXuanHoai.html
MichaelO'Neill.html
RI_Bob_McKay.html
http___dx.doi.org_10.1007_978-3-642-15871-1_54 http://dx.doi.org/10.1007/978-3-642-15871-1_54
q.u.nguyen_etal:kse2010 Predicting the Tide with Genetic Programming and Semantic-Based Crossovers
QuangUyNguyen.html
MichaelO'Neill.html
NguyenXuanHoai.html
http___dx.doi.org_10.1109_KSE.2010.7 http://dx.doi.org/10.1109/KSE.2010.7
Quang:2011:GPEM Semantically-based crossover in genetic programming: application to real-valued symbolic regression
QuangUyNguyen.html
NguyenXuanHoai.html
MichaelO'Neill.html
RI_Bob_McKay.html
EdgarGalvanLopez.html
https___rdcu.be_c9fmr https://rdcu.be/c9fmr
http___dx.doi.org_10.1007_s10710-010-9121-2 http://dx.doi.org/10.1007/s10710-010-9121-2
Quang:2011:KSE Semantic-based Subtree Crossover Applied to Dynamic Problems
QuangUyNguyen.html
EoinMurphy.html
MichaelO'Neill.html
NguyenXuanHoai.html
http___dx.doi.org_10.1109_KSE.2011.20 http://dx.doi.org/10.1109/KSE.2011.20
Nguyen:2011:GECCO Examining the landscape of semantic similarity based mutation
QuangUyNguyen.html
NguyenXuanHoai.html
MichaelO'Neill.html
http___dx.doi.org_10.1145_2001576.2001760 http://dx.doi.org/10.1145/2001576.2001760
Quang_Uy_Nguyen:thesis Examining Semantic Diversity and Semantic Locality of Operators in Genetic Programming
QuangUyNguyen.html
http___ncra.ucd.ie_papers_Thesis_Uy_Corrected.pdf http://ncra.ucd.ie/papers/Thesis_Uy_Corrected.pdf
nguyen:2012:EuroGP An Investigation of Fitness Sharing with Semantic and Syntactic Distance Metrics
QuangUyNguyen.html
NguyenXuanHoai.html
MichaelO'Neill.html
AlexandrosAgapitos.html
http___dx.doi.org_10.1007_978-3-642-29139-5_10 http://dx.doi.org/10.1007/978-3-642-29139-5_10
Nguyen:2012:KSE A Study on the Use of Genetic Programming for Automatic Text Summarization
QuangUyNguyen.html
PhamTuanAnh.html
TruongCongDoan.html
NguyenXuanHoai.html
http___dx.doi.org_10.1109_KSE.2012.10 http://dx.doi.org/10.1109/KSE.2012.10
Uy2013195 On the roles of semantic locality of crossover in genetic programming
QuangUyNguyen.html
NguyenXuanHoai.html
MichaelO'Neill.html
RI_Bob_McKay.html
NgocPhongDao.html
http___www.sciencedirect.com_science_article_pii_S0020025513001175 http://www.sciencedirect.com/science/article/pii/S0020025513001175
http___dx.doi.org_10.1016_j.ins.2013.02.008 http://dx.doi.org/10.1016/j.ins.2013.02.008
Nguyen:2013:GECCOcomp Guiding function set selection in genetic programming based on fitness landscape analysis
QuangUyNguyen.html
CongDoanTruong.html
NguyenXuanHoai.html
MichaelO'Neill.html
https___www.lri.fr__hansen_proceedings_2013_GECCO_companion_p149.pdf https://www.lri.fr/~hansen/proceedings/2013/GECCO/companion/p149.pdf
http___dx.doi.org_10.1145_2464576.2466800 http://dx.doi.org/10.1145/2464576.2466800
Nguyen:2016:GPEM Subtree semantic geometric crossover for genetic programming
QuangUyNguyen.html
PhamTuanAnh.html
NguyenXuanHoai.html
JamesMcDermott.html
http___dx.doi.org_10.1007_s10710-015-9253-5 http://dx.doi.org/10.1007/s10710-015-9253-5
NGUYEN:2020:swarm Semantic approximation for reducing code bloat in Genetic Programming
QuangUyNguyen.html
ThiHuongChu.html
http___dx.doi.org_10.1016_j.swevo.2020.100729 http://dx.doi.org/10.1016/j.swevo.2020.100729
http___www.sciencedirect.com_science_article_pii_S2210650220303825 http://www.sciencedirect.com/science/article/pii/S2210650220303825
Nguyen:2013:CEC Rice Leaf Detection with Genetic Programming
MinhLuanNguyen.html
VictorCiesielski.html
AndySong.html
http___dx.doi.org_10.1109_CEC.2013.6557695 http://dx.doi.org/10.1109/CEC.2013.6557695
Nguyen:2012:CECa Community Evolution in A Scientific Collaboration Network
MinhVanNguyen.html
MichaelKirley.html
RodolfoGarcia-Flores.html
http___dx.doi.org_10.1109_CEC.2012.6256434 http://dx.doi.org/10.1109/CEC.2012.6256434
nguyen2:2012:EuroGP Evolving Reusable Operation-Based Due-Date Assignment Models for Job Shop Scheduling with Genetic Programming
SuNguyen.html
MengjieZhang.html
MarkJohnston.html
KayChenTan.html
http___dx.doi.org_10.1007_978-3-642-29139-5_11 http://dx.doi.org/10.1007/978-3-642-29139-5_11
Nguyen:2012:CECb A Coevolution Genetic Programming Method to Evolve Scheduling Policies for Dynamic Multi-objective Job Shop Scheduling Problems
SuNguyen.html
MengjieZhang.html
MarkJohnston.html
KayChenTan.html
http___dx.doi.org_10.1109_CEC.2012.6252968 http://dx.doi.org/10.1109/CEC.2012.6252968
Nguyen:2012:SEAL Automatic Discovery of Optimisation Search Heuristics for Two Dimensional Strip Packing Using Genetic Programming
SuNguyen.html
MengjieZhang.html
MarkJohnston.html
KayChenTan.html
http___dx.doi.org_10.1007_978-3-642-34859-4_34 http://dx.doi.org/10.1007/978-3-642-34859-4_34
nguyen:2013:EuroGP Learning Reusable Initial Solutions for Multi-Objective Order Acceptance and Scheduling Problems with Genetic Programming
SuNguyen.html
MengjieZhang.html
MarkJohnston.html
KayChenTan.html
http___dx.doi.org_10.1007_978-3-642-37207-0_14 http://dx.doi.org/10.1007/978-3-642-37207-0_14
Nguyen:2013:ieeeTEC A Computational Study of Representations in Genetic Programming to Evolve Dispatching Rules for the Job Shop Scheduling Problem
SuNguyen.html
MengjieZhang.html
MarkJohnston.html
KayChenTan.html
http___dx.doi.org_10.1109_TEVC.2012.2227326 http://dx.doi.org/10.1109/TEVC.2012.2227326
Nguyen:2013:ieeeTEC_2 Automatic Design of Scheduling Policies for Dynamic Multi-objective Job Shop Scheduling via Cooperative Coevolution Genetic Programming
SuNguyen.html
MengjieZhang.html
MarkJohnston.html
KayChenTan.html
http___dx.doi.org_10.1109_TEVC.2013.2248159 http://dx.doi.org/10.1109/TEVC.2013.2248159
Nguyen:2013:COR Hybrid evolutionary computation methods for quay crane scheduling problems
SuNguyen.html
MengjieZhang.html
MarkJohnston.html
KayChenTan.html
http___dx.doi.org_10.1016_j.cor.2013.03.007 http://dx.doi.org/10.1016/j.cor.2013.03.007
http___www.sciencedirect.com_science_article_pii_S030505481300083X http://www.sciencedirect.com/science/article/pii/S030505481300083X
Nguyen:2013:EC Genetic Programming for Evolving Due-date Assignment Models in Job Shop Environments
SuNguyen.html
MengjieZhang.html
MarkJohnston.html
KayChenTan.html
http___www.mitpressjournals.org_doi_pdf_10.1162_EVCO_a_00105 http://www.mitpressjournals.org/doi/pdf/10.1162/EVCO_a_00105
http___dx.doi.org_10.1162_EVCO_a_00105 http://dx.doi.org/10.1162/EVCO_a_00105
Nguyen:2013:asp Dynamic Multi-objective Job Shop Scheduling: A Genetic Programming Approach
SuNguyen.html
MengjieZhang.html
MarkJohnston.html
KayChenTan.html
http___dx.doi.org_10.1007_978-3-642-39304-4_10 http://dx.doi.org/10.1007/978-3-642-39304-4_10
Nguyen:2013:ijamt Learning iterative dispatching rules for job shop scheduling with genetic programming
SuNguyen.html
MengjieZhang.html
MarkJohnston.html
KayChenTan.html
http___dx.doi.org_10.1007_s00170-013-4756-9 http://dx.doi.org/10.1007/s00170-013-4756-9
Nguyen_Phan_Bach_Su:thesis Automatic Design of Dispatching Rules for Job Shop Scheduling with Genetic Programming
SuNguyen.html
http___hdl.handle.net_10063_3018 http://hdl.handle.net/10063/3018
http___researcharchive.vuw.ac.nz_handle_10063_3018 http://researcharchive.vuw.ac.nz/handle/10063/3018
http___researcharchive.vuw.ac.nz_bitstream_handle_10063_3018_thesis.pdf http://researcharchive.vuw.ac.nz/bitstream/handle/10063/3018/thesis.pdf
conf/seal/NguyenZJT14 Selection Schemes in Surrogate-Assisted Genetic Programming for Job Shop Scheduling
SuNguyen.html
MengjieZhang.html
MarkJohnston.html
KayChenTan.html
http___dx.doi.org_10.1007_978-3-319-13563-2 http://dx.doi.org/10.1007/978-3-319-13563-2
nguyen:2014:EuroGP Enhancing Branch-and-Bound Algorithms for Order Acceptance and Scheduling with Genetic Programming
SuNguyen.html
MengjieZhang.html
MarkJohnston.html
http___dx.doi.org_10.1007_978-3-662-44303-3_11 http://dx.doi.org/10.1007/978-3-662-44303-3_11
Nguyen:2014:CECb A Sequential Genetic Programming Method to Learn Forward Construction Heuristics for Order Acceptance and Scheduling
SuNguyen.html
MengjieZhang.html
MarkJohnston.html
http___dx.doi.org_10.1109_CEC.2014.6900347 http://dx.doi.org/10.1109/CEC.2014.6900347
Nguyen:2015:ieeeTCYB Automatic Programming via Iterated Local Search for Dynamic Job Shop Scheduling
SuNguyen.html
MengjieZhang.html
MarkJohnston.html
KayChenTan.html
http___dx.doi.org_10.1109_TCYB.2014.2317488 http://dx.doi.org/10.1109/TCYB.2014.2317488
Nguyen:2015:CEC Enhancing Genetic Programming based Hyper-Heuristics for Dynamic Multi-objective Job Shop Scheduling Problems
SuNguyen.html
MengjieZhang.html
KayChenTan.html
http___dx.doi.org_10.1109_CEC.2015.7257234 http://dx.doi.org/10.1109/CEC.2015.7257234
Nguyen:2016:CEC Evolutionary Scheduling and Combinatorial Optimisation: Applications, Challenges, and Future Directions
SuNguyen.html
YiMei.html
HuiMa.html
AaronChen.html
MengjieZhang.html
http___dx.doi.org_10.1109_CEC.2016.7744175 http://dx.doi.org/10.1109/CEC.2016.7744175
Nguyen:2016:ieeeTCYB Surrogate-Assisted Genetic Programming With Simplified Models for Automated Design of Dispatching Rules
SuNguyen.html
MengjieZhang.html
KayChenTan.html
http___dx.doi.org_10.1109_TCYB.2016.2562674 http://dx.doi.org/10.1109/TCYB.2016.2562674
nguyen:2017:CECa A PSO-based hyper-heuristic for evolving dispatching rules in job shop scheduling
SuNguyen.html
MengjieZhang.html
http___dx.doi.org_10.1109_CEC.2017.7969402 http://dx.doi.org/10.1109/CEC.2017.7969402
nguyen:2017:CIS Genetic programming for production scheduling: a survey with a unified framework
SuNguyen.html
YiMei.html
MengjieZhang.html
http___link.springer.com_article_10.1007_s40747-017-0036-x http://link.springer.com/article/10.1007/s40747-017-0036-x
http___dx.doi.org_10.1007_s40747-017-0036-x http://dx.doi.org/10.1007/s40747-017-0036-x
Nguyen:GPEM:editorial Guest editorial: special issue on automated design and adaptation of heuristics for scheduling and combinatorial optimisation
SuNguyen.html
YiMei.html
MengjieZhang.html
http___dx.doi.org_10.1007_s10710-017-9317-9 http://dx.doi.org/10.1007/s10710-017-9317-9
Su_Nguyen:EC A Hybrid Genetic Programming Algorithm for Automated Design of Dispatching Rules
SuNguyen.html
YiMei.html
BingXue.html
MengjieZhang.html
https___homepages.ecs.vuw.ac.nz__xuebing_Papers_ECJ18-Su.pdf https://homepages.ecs.vuw.ac.nz/~xuebing/Papers/ECJ18-Su.pdf
http___dx.doi.org_10.1162_evco_a_00230 http://dx.doi.org/10.1162/evco_a_00230
Nguyen:2018:GECCOb Adaptive charting genetic programming for dynamic flexible job shop scheduling
SuNguyen.html
MengjieZhang.html
KayChenTan.html
http___dx.doi.org_10.1145_3205455.3205531 http://dx.doi.org/10.1145/3205455.3205531
Nguyen:2018:GECCOc Genetic programming approach to learning multi-pass heuristics for resource constrained job scheduling
SuNguyen.html
DhananjayThiruvady.html
AndreasErnst.html
DammindaAlahakoon.html
http___dx.doi.org_10.1145_3205455.3205485 http://dx.doi.org/10.1145/3205455.3205485
Nguyen:2018:ieeeCIM Visualizing the Evolution of Computer Programs for Genetic Programming
SuNguyen.html
MengjieZhang.html
DammindaAlahakoon.html
KayChenTan.html
http___dx.doi.org_10.1109_MCI.2018.2866731 http://dx.doi.org/10.1109/MCI.2018.2866731
nguyen:2019:ESIA Genetic Programming for Job Shop Scheduling
SuNguyen.html
MengjieZhang.html
MarkJohnston.html
KayChenTan.html
https___eprints.worc.ac.uk_id_eprint_7579 https://eprints.worc.ac.uk/id/eprint/7579
https___figshare.com_articles_chapter_Genetic_programming_for_job_shop_scheduling_13158287_files_25303547.pdf https://figshare.com/articles/chapter/Genetic_programming_for_job_shop_scheduling/13158287/files/25303547.pdf
http___link.springer.com_chapter_10.1007_978-3-319-91341-4_8 http://link.springer.com/chapter/10.1007/978-3-319-91341-4_8
http___dx.doi.org_10.1007_978-3-319-91341-4_8 http://dx.doi.org/10.1007/978-3-319-91341-4_8
Nguyen:ieeeCYB People-Centric Evolutionary System for Dynamic Production Scheduling
SuNguyen.html
MengjieZhang.html
DammindaAlahakoon.html
KayChenTan.html
http___dx.doi.org_10.1109_TCYB.2019.2936001 http://dx.doi.org/10.1109/TCYB.2019.2936001
Su_Nguyen:ieeeTEC A Genetic Programming Approach for Evolving Variable Selectors in Constraint Programming
SuNguyen.html
DhananjayThiruvady.html
MengjieZhang.html
KayChenTan.html
http___dx.doi.org_10.1109_TEVC.2021.3050465 http://dx.doi.org/10.1109/TEVC.2021.3050465
Su_Nguyen:Cybernetics Automated Design of Multipass Heuristics for Resource-Constrained Job Scheduling With Self-Competitive Genetic Programming
SuNguyen.html
DhananjayThiruvady.html
MengjieZhang.html
DammindaAlahakoon.html
http___dx.doi.org_10.1109_TCYB.2021.3062799 http://dx.doi.org/10.1109/TCYB.2021.3062799
Nguyen:2023:CEC Genetic Programming for Resource Allocation in Network Function Virtualization
ThiTamNguyen.html
DoDucAnh.html
TranHuyHung.html
PhamVanHanh.html
HuynhThiThanhBinh.html
LeTrongVinh.html
http___dx.doi.org_10.1109_CEC53210.2023.10253997 http://dx.doi.org/10.1109/CEC53210.2023.10253997
kinnear:nguyen Evolvable 3D Modeling for Model-Based Object Recognition Systems
ThangCNguyen.html
ThomasSHuang.html
http___www.amazon.co.uk_Advances-Genetic-Programming-Complex-Adaptive_dp_0262111888 http://www.amazon.co.uk/Advances-Genetic-Programming-Complex-Adaptive/dp/0262111888
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http___dx.doi.org_10.7551_mitpress_1108.003.0028 http://dx.doi.org/10.7551/mitpress/1108.003.0028
nguyen:emsat3d Evolvable Modeling: structural adaptation through hierarchical evolution for 3-D model-based vision
ThangCNguyen.html
DavidEGoldberg.html
ThomasSHuang.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_ftp.io.com_papers_gp-3D-modeling.ps.Z http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/ftp.io.com/papers/gp-3D-modeling.ps.Z
FS93-04-021 Evolvable Modeling: Structural Adaptation Through Hierarchical Evolution for 3-D Model-based Vision
ThangCNguyen.html
DavidEGoldberg.html
ThomasSHuang.html
http___www.aaai.org_Library_Symposia_Fall_1993_fs93-04-021.php http://www.aaai.org/Library/Symposia/Fall/1993/fs93-04-021.php
http___www.aaai.org_Papers_Symposia_Fall_1993_FS-93-04_FS93-04-021.pdf http://www.aaai.org/Papers/Symposia/Fall/1993/FS-93-04/FS93-04-021.pdf
aguyen:1997:e3D Evolutionary 3D Design of Complex Shapes and a Vector Space Genetic Algorithm
ThangCNguyen.html
ThomasSHuang.html
Nguyen:2009:SBST Using Execution Paths to Evolve Software Patches
ThanhVuNguyen.html
WestleyWeimer.html
ClaireLeGoues.html
StephanieForrest.html
http___iaser.tek.bth.se_feldt_conferences_sbst09_papers_nguyen_sbst09.pdf http://iaser.tek.bth.se/feldt/conferences/sbst09/papers/nguyen_sbst09.pdf
http___dx.doi.org_10.1109_ICSTW.2009.35 http://dx.doi.org/10.1109/ICSTW.2009.35
Nguyen:2006:ASPGP A Brief Overview of Population Diversity Measures in Genetic Programming
NguyenThiHien.html
NguyenXuanHoai.html
http___gpbib.cs.ucl.ac.uk_aspgp06_diversityMeasures.pdf http://gpbib.cs.ucl.ac.uk/aspgp06/diversityMeasures.pdf
Nguyen:2011:ASoGPwLLaIS A Study on Genetic Programming with Layered Learning and Incremental Sampling
NguyenThiHien.html
NguyenXuanHoai.html
RI_Bob_McKay.html
http___dx.doi.org_10.1109_CEC.2011.5949750 http://dx.doi.org/10.1109/CEC.2011.5949750
Nguyen:2012:RIVF Learning in Stages: A Layered Learning Approach for Genetic Programming
NguyenThiHien.html
NguyenXuanHoai.html
http___dx.doi.org_10.1109_rivf.2012.6169838 http://dx.doi.org/10.1109/rivf.2012.6169838
Nguyen:2012:SEALth Where Should We Stop? An Investigation on Early Stopping for GP Learning
NguyenThiHien.html
NguyenXuanHoai.html
RI_Bob_McKay.html
QuangUyNguyen.html
http___dx.doi.org_10.1007_978-3-642-34859-4_39 http://dx.doi.org/10.1007/978-3-642-34859-4_39
Nguyen:2019:EuroGP Learning Class Disjointness Axioms Using Grammatical Evolution
ThuHuongNguyen.html
AndreaGBTettamanzi.html
https___www.springer.com_us_book_9783030166694 https://www.springer.com/us/book/9783030166694
http___dx.doi.org_10.1007_978-3-030-16670-0_18 http://dx.doi.org/10.1007/978-3-030-16670-0_18
Nguyen:2019:WI An Evolutionary Approach to Class Disjointness Axiom Discovery
ThuHuongNguyen.html
AndreaGBTettamanzi.html
https___hal.inria.fr_hal-02319638 https://hal.inria.fr/hal-02319638
https___hal.inria.fr_hal-02319638_file_author-copy.pdf https://hal.inria.fr/hal-02319638/file/author-copy.pdf
https___doi.org_10.1145_3350546.3352502 https://doi.org/10.1145/3350546.3352502
http___dx.doi.org_10.1145_3350546.3352502 http://dx.doi.org/10.1145/3350546.3352502
Nguyen:2020:CEC Grammatical Evolution to Mine OWL Disjointness Axioms Involving Complex Concept Expressions
ThuHuongNguyen.html
AndreaGBTettamanzi.html
http___dx.doi.org_10.1109_CEC48606.2020.9185681 http://dx.doi.org/10.1109/CEC48606.2020.9185681
DBLP:conf/iccs/NguyenT20 Using Grammar-Based Genetic Programming for Mining Disjointness Axioms Involving Complex Class Expressions
ThuHuongNguyen.html
AndreaGBTettamanzi.html
https___doi.org_10.1007_978-3-030-57855-8_2 https://doi.org/10.1007/978-3-030-57855-8_2
http___dx.doi.org_10.1007_978-3-030-57855-8_2 http://dx.doi.org/10.1007/978-3-030-57855-8_2
https___dblp.org_rec_conf_iccs_NguyenT20.bib https://dblp.org/rec/conf/iccs/NguyenT20.bib
Nguyen:2020:WI-IAT A Multi-Objective Evolutionary Approach to Class Disjointness Axiom Discovery
ThuHuongNguyen.html
AndreaGBTettamanzi.html
http___dx.doi.org_10.1109_WIIAT50758.2020.00040 http://dx.doi.org/10.1109/WIIAT50758.2020.00040
Thu.Huong.Nguyen:thesis Mining the semantic Web for OWL axioms
ThuHuongNguyen.html
https___tel.archives-ouvertes.fr_tel-03406784 https://tel.archives-ouvertes.fr/tel-03406784
https___tel.archives-ouvertes.fr_tel-03406784_document https://tel.archives-ouvertes.fr/tel-03406784/document
https___tel.archives-ouvertes.fr_tel-03406784_file_2021COAZ4052.pdf https://tel.archives-ouvertes.fr/tel-03406784/file/2021COAZ4052.pdf
Nguyen:2020:IDA AVATAR Machine Learning Pipeline Evaluation Using Surrogate Model
Tien-DungNguyen.html
TomaszMaszczyk.html
KatarzynaMusial.html
Marc-AndreZoeller.html
BogdanGabrys.html
http___dx.doi.org_10.1007_978-3-030-44584-3_28 http://dx.doi.org/10.1007/978-3-030-44584-3_28
Nguyen:2019:CEC Online Feature-Generation of Code Fragments for XCS to Guide Feature Construction
TrungBaoNguyen.html
WillNBrowne.html
MengjieZhang.html
http___dx.doi.org_10.1109_CEC.2019.8789950 http://dx.doi.org/10.1109/CEC.2019.8789950
Nguyen:2019:GECCOa Improvement of Code Fragment Fitness to Guide Feature Construction in XCS
TrungBaoNguyen.html
WillNBrowne.html
MengjieZhang.html
http___dx.doi.org_10.1145_3321707.3321751 http://dx.doi.org/10.1145/3321707.3321751
Nguyen:2020:GECCO Relatedness Measures to Aid the Transfer of Building Blocks among Multiple Tasks
TrungBaoNguyen.html
WillNBrowne.html
MengjieZhang.html
https___doi.org_10.1145_3377930.3390169 https://doi.org/10.1145/3377930.3390169
http___dx.doi.org_10.1145_3377930.3390169 http://dx.doi.org/10.1145/3377930.3390169
nguyen-duy:2023:SymReg Towards Vertical Privacy-Preserving Symbolic Regression via Secure Multiparty Computation
DuNguyenDuy.html
MichaelAffenzeller.html
RaminNikzad-Langerodi.html
http___dx.doi.org_10.1145_3583133.3596337 http://dx.doi.org/10.1145/3583133.3596337
Ni:2024:EuroGP DALex: Lexicase-Like Selection via Diverse Aggregation
AndrewNi.html
LiDing.html
LeeSpector.html
http___dx.doi.org_10.1007_978-3-031-56957-9_6 http://dx.doi.org/10.1007/978-3-031-56957-9_6
Ni:2014:IIKI An Orthogonal Cartesian Genetic Programming Algorithm for Evolvable Hardware
FuchuanNi.html
YuanxiangLi.html
XiaoyanYang.html
JinhaiXiang.html
http___dx.doi.org_10.1109_IIKI.2014.52 http://dx.doi.org/10.1109/IIKI.2014.52
Ni:2010:CCC The convergence strategies and pause matter for evolutionary modeling
HeNi.html
GangChen.html
FengruiSun.html
http___ieeexplore.ieee.org_stamp_stamp.jsp_tp__arnumber_5573410 http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5573410
Ni:2013:iccsee The Convergence Mechanism and Strategies for Non-Elitist Genetic Programming
HeNi.html
BoYu.html
FanmingZeng.html
FengruiSun.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.1001.3462 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.1001.3462
http___atlantis-press.com_php_download_paper.php_id_3D5071 http://atlantis-press.com/php/download_paper.php?id%3D5071
http___www.atlantis-press.com_proceedings_iccsee-13_5071 http://www.atlantis-press.com/proceedings/iccsee-13/5071
http___dx.doi.org_10.2991_iccsee.2013.640 http://dx.doi.org/10.2991/iccsee.2013.640
Ni:2012:ieeeTEC The Use of an Analytic Quotient Operator in Genetic Programming
JiNi.html
RussHDrieberg.html
PeterIRockett.html
http___dx.doi.org_10.1109_TEVC.2012.2195319 http://dx.doi.org/10.1109/TEVC.2012.2195319
Ni:2014:ieeeTEC Tikhonov Regularization as a Complexity Measure in Multiobjective Genetic Programming
JiNi.html
PeterIRockett.html
http___ieeexplore.ieee.org_stamp_stamp.jsp_tp__arnumber_6746085 http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6746085
http___dx.doi.org_10.1109_TEVC.2014.2306994 http://dx.doi.org/10.1109/TEVC.2014.2306994
jnThesis_1.0.5 Enhancement of Model Generalisation in Multiobjective Genetic Programming
JiNi.html
http___etheses.whiterose.ac.uk_5021_1_jnThesis_1.0.5.pdf http://etheses.whiterose.ac.uk/5021/1/jnThesis_1.0.5.pdf
http___etheses.whiterose.ac.uk_5021_1_jnThesis_1.0.5.docx http://etheses.whiterose.ac.uk/5021/1/jnThesis_1.0.5.docx
http___etheses.whiterose.ac.uk_5021_ http://etheses.whiterose.ac.uk/5021/
http___ethos.bl.uk_OrderDetails.do_did_32_uin_uk.bl.ethos.589326 http://ethos.bl.uk/OrderDetails.do?did=32&uin=uk.bl.ethos.589326
Ni:2014:GPEM Training genetic programming classifiers by vicinal-risk minimization
JiNi.html
PeterIRockett.html
http___dx.doi.org_10.1007_s10710-014-9222-4 http://dx.doi.org/10.1007/s10710-014-9222-4
Ni:2016:BioMed Learning from Life-Logging Data by Hybrid HMM: A Case Study on Active States Prediction
JiNi.html
TryphonLambrou.html
XujiongYe.html
http___eprints.lincoln.ac.uk_23092_ http://eprints.lincoln.ac.uk/23092/
http___eprints.lincoln.ac.uk_23092_1_832-019.pdf http://eprints.lincoln.ac.uk/23092/1/832-019.pdf
http___www.actapress.com_Abstract.aspx_paperId_456195 http://www.actapress.com/Abstract.aspx?paperId=456195
http___dx.doi.org_10.2316_P.2016.832-019 http://dx.doi.org/10.2316/P.2016.832-019
NI:2020:EJOR A hybrid model for predicting human physical activity status from lifelogging data
JiNi.html
BoweiChen.html
NigelMAllinson.html
XujiongYe.html
http___dx.doi.org_10.1016_j.ejor.2019.05.035 http://dx.doi.org/10.1016/j.ejor.2019.05.035
http___www.sciencedirect.com_science_article_pii_S0377221719304655 http://www.sciencedirect.com/science/article/pii/S0377221719304655
Ni2010377 Evolutionary modeling for streamflow forecasting with minimal datasets: A case study in the West Malian River, China
QingweiNi.html
LiWang2.html
RenzhenYe.html
FenglinYang.html
MuttucumaruSivakumar.html
http___online.liebertpub.com_doi_abs_10.1089_ees.2009.0082 http://online.liebertpub.com/doi/abs/10.1089/ees.2009.0082
http___dx.doi.org_10.1089_ees.2009.0082 http://dx.doi.org/10.1089/ees.2009.0082
conf/iecon/NiGHXRL21 Multi-Agent Cooperative Pursuit-Evasion Control Using Gene Expression Programming
YinjieNi.html
ShuhuaGao.html
SunanHuang.html
ChengXiang.html
QinyuanRen.html
TongHengLee.html
http___dx.doi.org_10.1109_IECON48115.2021.9589599 http://dx.doi.org/10.1109/IECON48115.2021.9589599
Niazkar:2021:Complexity Assessment of Artificial Intelligence Models for Developing Single-Value and Loop Rating Curves
MajidNiazkar.html
MohammadZakwan.html
https___downloads.hindawi.com_journals_complexity_2021_6627011.pdf https://downloads.hindawi.com/journals/complexity/2021/6627011.pdf
http___dx.doi.org_10.1155_2021_6627011 http://dx.doi.org/10.1155/2021/6627011
NIAZKAR:2022:WRMCT Chapter 26 - Application of machine learning models to side-weir discharge coefficient estimations in trapezoidal and rectangular open channels
MajidNiazkar.html
MohammadZakwan.html
http___dx.doi.org_10.1016_B978-0-323-91910-4.00026-1 http://dx.doi.org/10.1016/B978-0-323-91910-4.00026-1
https___www.sciencedirect.com_science_article_pii_B9780323919104000261 https://www.sciencedirect.com/science/article/pii/B9780323919104000261
NIAZKAR:2022:WRMCTa Chapter 17 - Appraisal of multigene genetic programming for estimating optimal properties of lined open channels with circular shapes incorporating constant and variable roughness scenarios
MajidNiazkar.html
http___dx.doi.org_10.1016_B978-0-323-91910-4.00017-0 http://dx.doi.org/10.1016/B978-0-323-91910-4.00017-0
https___www.sciencedirect.com_science_article_pii_B9780323919104000170 https://www.sciencedirect.com/science/article/pii/B9780323919104000170
NIAZKAR:2023:HH Chapter 19 - Multigene genetic programming and its various applications
MajidNiazkar.html
http___dx.doi.org_10.1016_B978-0-12-821285-1.00019-1 http://dx.doi.org/10.1016/B978-0-12-821285-1.00019-1
https___www.sciencedirect.com_science_article_pii_B9780128212851000191 https://www.sciencedirect.com/science/article/pii/B9780128212851000191
niazkar:2023:TAC Machine learning-based downscaling: application of multi-gene genetic programming for downscaling daily temperature at Dogonbadan, Iran, under CMIP6 scenarios
MajidNiazkar.html
MohammadRezaGoodarzi.html
AtiyehFatehifar.html
MohammadJavadAbedi.html
http___link.springer.com_article_10.1007_s00704-022-04274-3 http://link.springer.com/article/10.1007/s00704-022-04274-3
http___dx.doi.org_10.1007_s00704-022-04274-3 http://dx.doi.org/10.1007/s00704-022-04274-3
nibikora2011 Drafting Force Forecasting Using Genetic Programming
IldephonseNibikora.html
JunWang3.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.1002.5139 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.1002.5139
http___www.scientific.net_AMR.175-176.355.pdf http://www.scientific.net/AMR.175-176.355.pdf
http___dx.doi.org_10.4028_www.scientific.net_AMR.175-176.355 http://dx.doi.org/10.4028/www.scientific.net/AMR.175-176.355
Nichele:2016:PPSN Genotype Regulation by Self-modifying Instruction-Based Development on Cellular Automata
StefanoNichele.html
TomEivindGlover.html
GunnarTufte.html
http___dx.doi.org_10.1007_978-3-319-45823-6_2 http://dx.doi.org/10.1007/978-3-319-45823-6_2
Nichele:GPEM:bookreview Tim Taylor and Alan Dorin: Rise of the self-replicators, early visions of machines, AI and robots that can reproduce and evolve
StefanoNichele.html
http___dx.doi.org_10.1007_s10710-021-09398-5 http://dx.doi.org/10.1007/s10710-021-09398-5
Barry_NICHOLS_2014 Reinforcement learning in continuous state- and action-space
BarryDNichols.html
http___westminsterresearch.wmin.ac.uk_15073_ http://westminsterresearch.wmin.ac.uk/15073/
http___westminsterresearch.wmin.ac.uk_15073_1_Barry_NICHOLS_2014.pdf http://westminsterresearch.wmin.ac.uk/15073/1/Barry_NICHOLS_2014.pdf
https___ethos.bl.uk_OrderDetails.do_uin_uk.bl.ethos.644956 https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.644956
Nicholson:2014:SHPSPCSHPBBS The machine conception of the organism in development and evolution: A critical analysis
DanielJNicholson.html
http___dx.doi.org_10.1016_j.shpsc.2014.08.003 http://dx.doi.org/10.1016/j.shpsc.2014.08.003
http___www.sciencedirect.com_science_article_pii_S1369848614001083 http://www.sciencedirect.com/science/article/pii/S1369848614001083
Nickerson:2011:CHI Structures for Creativity: The crowdsourcing of design
JeffreyVNickerson.html
YasuakiSakamoto.html
Lixiu_Lisa_Yu.html
http___crowdresearch.org_chi2011-workshop_papers_nickerson.pdf http://crowdresearch.org/chi2011-workshop/papers/nickerson.pdf
Nickerson:2013:HBHC Human-Based Evolutionary Computing
JeffreyVNickerson.html
http___dx.doi.org_10.1007_978-1-4614-8806-4_51 http://dx.doi.org/10.1007/978-1-4614-8806-4_51
Nickerson:2021:GECCOcomp Principled quality diversity for ensemble classifiers using MAP-Elites
KyleLNickerson.html
TingHu.html
http___dx.doi.org_10.1145_3449726.3459549 http://dx.doi.org/10.1145/3449726.3459549
Nickerson:2022:EuroGP Creating Diverse Ensembles for Classification with Genetic Programming and Neuro-MAP-Elites
KyleLNickerson.html
AntoninaKolokolova.html
TingHu.html
http___dx.doi.org_10.1007_978-3-031-02056-8_14 http://dx.doi.org/10.1007/978-3-031-02056-8_14
nicolau+ryan:2002:gecco:workshop On the use of gene dependency to avoid deceptive traps
MiguelNicolau.html
ConorRyan.html
http___www.grammatical-evolution.org_gews2002_nicolau.ps http://www.grammatical-evolution.org/gews2002/nicolau.ps
nicolau03 How functional dependency adapts to salience hierarchy in the GAuGE system
MiguelNicolau.html
ConorRyan.html
http___www.grammatical-evolution.org_papers_nicolau03salience.ps http://www.grammatical-evolution.org/papers/nicolau03salience.ps
http___dx.doi.org_10.1007_3-540-36599-0_14 http://dx.doi.org/10.1007/3-540-36599-0_14
Nicolau+Auger+Ryan:2003:GECCO:workshop Investigating Degenerate Code and Gene Dependency in the GAuGE System
MiguelNicolau.html
AnneAuger.html
ConorRyan.html
nicolau:2003:EA Functional Dependency and Degeneracy: Detailed Analysis of the GAuGE System
MiguelNicolau.html
AnneAuger.html
ConorRyan.html
http___dx.doi.org_10.1007_b96080 http://dx.doi.org/10.1007/b96080
http___dx.doi.org_10.1007_978-3-540-24621-3_2 http://dx.doi.org/10.1007/978-3-540-24621-3_2
nicolau:2004:eurogp Efficient Crossover in the GAuGE System
MiguelNicolau.html
ConorRyan.html
http___dx.doi.org_10.1007_978-3-540-24650-3_12 http://dx.doi.org/10.1007/978-3-540-24650-3_12
nicolau:cpd:gecco2004 Crossover, Population Dynamics, and Convergence in the GAuGE System
MiguelNicolau.html
ConorRyan.html
http___dx.doi.org_10.1007_b98643 http://dx.doi.org/10.1007/b98643
nicolau:2004:gew:mnic Automatic Grammar Complexity Reduction in Grammatical Evolution
MiguelNicolau.html
http___gpbib.cs.ucl.ac.uk_gecco2004_WGEW002.pdf http://gpbib.cs.ucl.ac.uk/gecco2004/WGEW002.pdf
eurogp06:NocolauRyan Solving Sudoku with the GAuGE System
MiguelNicolau.html
ConorRyan.html
http___dx.doi.org_10.1007_11729976_19 http://dx.doi.org/10.1007/11729976_19
Nicolau:2006:CEC Introducing Grammar Based Extensions for Grammatical Evolution
MiguelNicolau.html
IanDempsey.html
http___dx.doi.org_10.1109_CEC.2006.1688372 http://dx.doi.org/10.1109/CEC.2006.1688372
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MiguelNicolau.html
DarwinSlattery.html
http___bds.ul.ie_libGE_libGE.pdf http://bds.ul.ie/libGE/libGE.pdf
DBLP:conf/gecco/NicolauS09 Evolving specific network statistical properties using a gene regulatory network model
MiguelNicolau.html
MarcSchoenauer.html
http___dx.doi.org_10.1145_1569901.1570001 http://dx.doi.org/10.1145/1569901.1570001
Nicolau2009137 On the evolution of scale-free topologies with a gene regulatory network model
MiguelNicolau.html
MarcSchoenauer.html
http___dx.doi.org_10.1016_j.biosystems.2009.06.006 http://dx.doi.org/10.1016/j.biosystems.2009.06.006
Nicolau:2010:EuroGP Evolving Genes to Balance a Pole
MiguelNicolau.html
MarcSchoenauer.html
WolfgangBanzhaf.html
https___arxiv.org_abs_1005.2815 https://arxiv.org/abs/1005.2815
http___dx.doi.org_10.1007_978-3-642-12148-7_17 http://dx.doi.org/10.1007/978-3-642-12148-7_17
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MiguelNicolau.html
DanCostelloe.html
http___dx.doi.org_10.1007_978-3-642-20520-0_38 http://dx.doi.org/10.1007/978-3-642-20520-0_38
nicolau:2012:EuroGP Evolving Interpolating Models of Net Ecosystem CO2 Exchange Using Grammatical Evolution
MiguelNicolau.html
MatthewSaunders.html
MichaelO'Neill.html
BruceArthurOsborne.html
AnthonyBrabazon.html
http___dx.doi.org_10.1007_978-3-642-29139-5_12 http://dx.doi.org/10.1007/978-3-642-29139-5_12
Nicolau:2012:CEC Termination in Grammatical Evolution: Grammar Design, Wrapping, and Tails
MiguelNicolau.html
MichaelO'Neill.html
AnthonyBrabazon.html
http___dx.doi.org_10.1109_CEC.2012.6256563 http://dx.doi.org/10.1109/CEC.2012.6256563
conf/ppsn/NicolauOB12 Applying Genetic Regulatory Networks to Index Trading
MiguelNicolau.html
MichaelO'Neill.html
AnthonyBrabazon.html
http___dx.doi.org_10.1007_978-3-642-32964-7_43 http://dx.doi.org/10.1007/978-3-642-32964-7_43
Nicolau:2014:GP Proceedings of the 17th European Conference on Genetic Programming, EuroGP 2014
MiguelNicolau.html
KrzysztofKrawiec.html
MalcolmHeywood.html
MauroCastelli.html
PabloGarcia-Sanchez.html
JuanJulianMerelo.html
VictorMRivasSantos.html
KevinSim.html
http___www.evostar.org_EvoStar14confHandbook.pdf http://www.evostar.org/EvoStar14confHandbook.pdf
http___link.springer.com_book_10.1007_978-3-662-44303-3 http://link.springer.com/book/10.1007/978-3-662-44303-3
http___dx.doi.org_10.1007_978-3-662-44303-3 http://dx.doi.org/10.1007/978-3-662-44303-3
nicolau:dituagrnm:2014 Dynamic Index Trading using a Gene Regulatory Network Model
MiguelNicolau.html
MichaelO'Neill.html
AnthonyBrabazon.html
http___dx.doi.org_10.1007_978-3-662-45523-4_21 http://dx.doi.org/10.1007/978-3-662-45523-4_21
nicolau:cec2015 Guidelines for defining benchmark problems in Genetic Programming
MiguelNicolau.html
AlexandrosAgapitos.html
MichaelO'Neill.html
AnthonyBrabazon.html
http___dx.doi.org_10.1109_CEC.2015.7257019 http://dx.doi.org/10.1109/CEC.2015.7257019
Nicolau:2016:GECCO Managing Repetition in Grammar-Based Genetic Programming
MiguelNicolau.html
MichaelFenton.html
http___dx.doi.org_10.1145_2908812.2908904 http://dx.doi.org/10.1145/2908812.2908904
Nicolau:2016:TCIAIG Evolutionary Behaviour Tree Approaches for Navigating Platform Games
MiguelNicolau.html
DiegoPerez-Liebana.html
MichaelO'Neill.html
AnthonyBrabazon.html
http___dx.doi.org_10.1109_TCIAIG.2016.2543661 http://dx.doi.org/10.1109/TCIAIG.2016.2543661
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MiguelNicolau.html
https___link.springer.com_article_10.1007_s10710-017-9309-9 https://link.springer.com/article/10.1007/s10710-017-9309-9
http___dx.doi.org_10.1007_s10710-017-9309-9 http://dx.doi.org/10.1007/s10710-017-9309-9
Nicolau:2018:hbge Understanding Grammatical Evolution: Grammar Design
MiguelNicolau.html
AlexandrosAgapitos.html
http___dx.doi.org_10.1007_978-3-319-78717-6_2 http://dx.doi.org/10.1007/978-3-319-78717-6_2
Nicolau:2019:GPTP Genetic Programming Symbolic Regression: What Is the Prior on the Prediction?
MiguelNicolau.html
JamesMcDermott.html
http___dx.doi.org_10.1007_978-3-030-39958-0_11 http://dx.doi.org/10.1007/978-3-030-39958-0_11
Nicolau:GPEM:funcset Choosing function sets with better generalisation performance for symbolic regression models
MiguelNicolau.html
AlexandrosAgapitos.html
http___dx.doi.org_10.1007_s10710-020-09391-4 http://dx.doi.org/10.1007/s10710-020-09391-4
Nicolau:GPEM:2020GPs Highlights of genetic programming 2020 events
MiguelNicolau.html
http___dx.doi.org_10.1007_s10710-021-09421-9 http://dx.doi.org/10.1007/s10710-021-09421-9
Nicolotti:2002:JMC Multiobjective Optimization in Quantitative Structure-Activity Relationships: Deriving Accurate and Interpretable QSARs
OrazioNicolotti.html
ValerieJGillet.html
PeterJFleming.html
DarrenVSGreen.html
http___pubs3.acs.org_acs_journals_doilookup_in_doi_10.1021_jm020919o http://pubs3.acs.org/acs/journals/doilookup?in_doi=10.1021/jm020919o
http___dx.doi.org_10.1021_jm020919o http://dx.doi.org/10.1021/jm020919o
Nie:2011:CSCWD Application of gene expression programming on dynamic job shop scheduling problem
LiNie.html
LiangGao.html
PeigenLi.html
LipingZhang.html
http___dx.doi.org_10.1109_CSCWD.2011.5960088 http://dx.doi.org/10.1109/CSCWD.2011.5960088
conf/swarm/NieBWL12 Discover Scheduling Strategies with Gene Expression Programming for Dynamic Flexible Job Shop Scheduling Problem
LiNie.html
YueweiBai.html
XiaogangWang.html
KaiLiu.html
http___dx.doi.org_10.1007_978-3-642-31020-1_45 http://dx.doi.org/10.1007/978-3-642-31020-1_45
niehaus:2001:EuroGP Adaption of Operator Probabilities in Genetic Programming
JensNiehaus.html
WolfgangBanzhaf.html
http___neo.lcc.uma.es_EAWebSite_SKELETON_GPROG_eurogp01-2.ps.gz http://neo.lcc.uma.es/EAWebSite/SKELETON/GPROG/eurogp01-2.ps.gz
http___dx.doi.org_10.1007_3-540-45355-5_26 http://dx.doi.org/10.1007/3-540-45355-5_26
niehaus03 More on Computational Effort Statistics for Genetic Programming
JensNiehaus.html
WolfgangBanzhaf.html
http___dx.doi.org_10.1007_3-540-36599-0_15 http://dx.doi.org/10.1007/3-540-36599-0_15
Niehaus:thesis Graphbasierte Genetische Programmierung
JensNiehaus.html
https___eldorado.tu-dortmund.de_bitstream_2003_2744_1_Niehausunt.pdf https://eldorado.tu-dortmund.de/bitstream/2003/2744/1/Niehausunt.pdf
http___hdl.handle.net_2003_2744 http://hdl.handle.net/2003/2744
https___eldorado.tu-dortmund.de_handle_2003_2744 https://eldorado.tu-dortmund.de/handle/2003/2744
http___dx.doi.org_10.17877_DE290R-14929 http://dx.doi.org/10.17877/DE290R-14929
Niehaus:2007:EC Reducing the Number of Fitness Evaluations in Graph Genetic Programming Using a Canonical Graph Indexed Database
JensNiehaus.html
ChristianIgel.html
WolfgangBanzhaf.html
http___www.mitpressjournals.org_doi_pdfplus_10.1162_evco.2007.15.2.199 http://www.mitpressjournals.org/doi/pdfplus/10.1162/evco.2007.15.2.199
http___dx.doi.org_10.1162_evco.2007.15.2.199 http://dx.doi.org/10.1162/evco.2007.15.2.199
Niekum:2010:ieeeTAMD Genetic Programming for Reward Function Search
ScottNiekum.html
AndrewGBarto.html
LeeSpector.html
https___www.ece.uvic.ca__bctill_papers_ememcog_Niekum_etal_2010.pdf https://www.ece.uvic.ca/~bctill/papers/ememcog/Niekum_etal_2010.pdf
http___dx.doi.org_10.1109_TAMD.2010.2051436 http://dx.doi.org/10.1109/TAMD.2010.2051436
Niekum:2011:GECCOcomp Evolution of reward functions for reinforcement learning
ScottNiekum.html
LeeSpector.html
AndrewGBarto.html
http___dx.doi.org_10.1145_2001858.2001957 http://dx.doi.org/10.1145/2001858.2001957
Nieto-Fuentes:2022:GPEM GP-DMD: a genetic programming variant with dynamic management of diversity
RicardoNieto-Fuentes.html
CarlosSeguraGonzalez.html
https___rdcu.be_cFuEp https://rdcu.be/cFuEp
http___dx.doi.org_10.1007_s10710-021-09426-4 http://dx.doi.org/10.1007/s10710-021-09426-4
Nieto-Fuentes:2022:CEC A replacement scheme based on dynamic penalization for controlling the diversity of the population in Genetic Programming
RicardoNieto-Fuentes.html
CarlosSeguraGonzalez.html
http___dx.doi.org_10.1109_CEC55065.2022.9870428 http://dx.doi.org/10.1109/CEC55065.2022.9870428
Niimi:2001:EGP Extended Genetic Programming Using Apriori Algorithm for Rule Discovery
AyahikoNiimi.html
EiichiroTazaki.html
http___dx.doi.org_10.1007_3-540-45548-5_73 http://dx.doi.org/10.1007/3-540-45548-5_73
Niimi:2002:SCIS_ISIS Category-based Extracting Keyword Method Selection with Genetic Programming
AyahikoNiimi.html
TakumaYasunobu.html
EiichiroTazaki.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.623.4305 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.623.4305
http___www.fun.ac.jp__niimi_ronbun_058.pdf http://www.fun.ac.jp/~niimi/ronbun/058.pdf
http___hdl.handle.net_10445_3909 http://hdl.handle.net/10445/3909
https___lib-repos.fun.ac.jp_dspace_handle_10445_3909 https://lib-repos.fun.ac.jp/dspace/handle/10445/3909
https___lib-repos.fun.ac.jp_dspace_bitstream_10445_3909_1_Category-based_20Extracting_20Keyword_20Method_20Selection_20with_20Genetic_20058.pdf https://lib-repos.fun.ac.jp/dspace/bitstream/10445/3909/1/Category-based%20Extracting%20Keyword%20Method%20Selection%20with%20Genetic%20058.pdf
journals/ijcia/NikdelB12 A Genetic Programming-Based Learning Algorithms for Pruning Cost-Sensitive Classifiers
ZahraNikdel.html
HamidBeigy.html
http___dx.doi.org_10.1142_S1469026812500113 http://dx.doi.org/10.1142/S1469026812500113
Nikentari_2019 Comparing Grammatical Evolution Survivor Selection Methods in Forecasting Tidal Level
NerfitaNikentari.html
MuhamadRadziRathomi.html
BondanChorisma.html
https___doi.org_10.1088_1742-6596_1175_1_012093 https://doi.org/10.1088/1742-6596/1175/1/012093
http___dx.doi.org_10.1088_1742-6596_1175_1_012093 http://dx.doi.org/10.1088/1742-6596/1175/1/012093
Nikitin:2020:PCS Structural Evolutionary Learning for Composite Classification Models
NikolayONikitin.html
IanaSPolonskaia.html
PavelVychuzhanin.html
IrinaVBarabanova.html
AnnaVKalyuzhnaya.html
http___www.human-competitive.org_sites_default_files_nikitin_human_competitive.txt http://www.human-competitive.org/sites/default/files/nikitin_human_competitive.txt
http___www.human-competitive.org_sites_default_files_structural_evolutionary_learning_for_composite_classification_models.pdf http://www.human-competitive.org/sites/default/files/structural_evolutionary_learning_for_composite_classification_models.pdf
https___www.sciencedirect.com_science_article_pii_S1877050920324224 https://www.sciencedirect.com/science/article/pii/S1877050920324224
http___dx.doi.org_10.1016_j.procs.2020.11.043 http://dx.doi.org/10.1016/j.procs.2020.11.043
https___github.com_ITMO-NSS-team_FEDOT.Algs https://github.com/ITMO-NSS-team/FEDOT.Algs
Nikolaev:1997:iGPdt Inductive Genetic Programming with Decision Trees
NikolayNikolaev.html
VanioSlavov.html
http___dx.doi.org_10.1007_3-540-62858-4_83 http://dx.doi.org/10.1007/3-540-62858-4_83
nikolaev:1997:t2tdp The Tree-to-Tree Distance Problem in Inductive Genetic Programming
NikolayNikolaev.html
VanioSlavov.html
nikolaev:1998:ciGP Concepts of Inductive Genetic Programming
NikolayNikolaev.html
VanioSlavov.html
http___citeseer.ist.psu.edu_cache_papers_cs_26570_http_zSzzSzwww.niss.gov.uazSzCenterzSzarticleszSzpaperszSzeurogp98.pdf_nikolaev98concepts.pdf http://citeseer.ist.psu.edu/cache/papers/cs/26570/http:zSzzSzwww.niss.gov.uazSzCenterzSzarticleszSzpaperszSzeurogp98.pdf/nikolaev98concepts.pdf
http___citeseer.ist.psu.edu_nikolaev98concepts.html http://citeseer.ist.psu.edu/nikolaev98concepts.html
http___dx.doi.org_10.1007_BFb0055927 http://dx.doi.org/10.1007/BFb0055927
nikolaev:1998:dbiGP The Dynamics of Biased Inductive Genetic Programming
NikolayNikolaev.html
VanioSlavov.html
http___citeseer.ist.psu.edu_cache_papers_cs_26570_http_zSzzSzwww.niss.gov.uazSzCenterzSzarticleszSzpaperszSzeurogp98.pdf_nikolaev98concepts.pdf http://citeseer.ist.psu.edu/cache/papers/cs/26570/http:zSzzSzwww.niss.gov.uazSzCenterzSzarticleszSzpaperszSzeurogp98.pdf/nikolaev98concepts.pdf
http___citeseer.ist.psu.edu_cache_papers_cs_23849_http_zSzzSzhomepages.gold.ac.ukzSznikolaevzSzgp98.pdf_the-dynamics-of-biased.pdf http://citeseer.ist.psu.edu/cache/papers/cs/23849/http:zSzzSzhomepages.gold.ac.ukzSznikolaevzSzgp98.pdf/the-dynamics-of-biased.pdf
http___citeseer.ist.psu.edu_468314.html http://citeseer.ist.psu.edu/468314.html
Nikolaev98 Inductive Genetic Programming with Decision Trees
NikolayNikolaev.html
VanioSlavov.html
http___dx.doi.org_10.3233_IDA-1998-2104 http://dx.doi.org/10.3233/IDA-1998-2104
PKDD99*456 Automated Discovery of Polynomials by Inductive Genetic Programming
NikolayNikolaev.html
HitoshiIba.html
http___dx.doi.org_10.1007_b72280 http://dx.doi.org/10.1007/b72280
http___dx.doi.org_10.1007_978-3-540-48247-5_58 http://dx.doi.org/10.1007/978-3-540-48247-5_58
nikolaev:1999:aigp3 Inductive Genetic Programming with Immune Network Dynamics
NikolayNikolaev.html
HitoshiIba.html
VanioSlavov.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_aigp3_ch15.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/aigp3/ch15.pdf
http___dx.doi.org_10.7551_mitpress_1110.003.0020 http://dx.doi.org/10.7551/mitpress/1110.003.0020
nikolaev:2001:TEC Regularization Approach to Inductive Genetic Programming
NikolayNikolaev.html
HitoshiIba.html
http___ieeexplore.ieee.org_iel5_4235_20398_00942530.pdf_isNumber_20398 http://ieeexplore.ieee.org/iel5/4235/20398/00942530.pdf?isNumber=20398
http___dx.doi.org_10.1109_4235.942530 http://dx.doi.org/10.1109/4235.942530
nikolaev:2001:CEC Genetic Programming of Polynomial Harmonic Models using the Discrete Fourier Transform
NikolayNikolaev.html
HitoshiIba.html
http___dx.doi.org_10.1109_CEC.2001.934400 http://dx.doi.org/10.1109/CEC.2001.934400
nikolaev:2001:GECCO Genetic Programming using Chebishev Polynomials
NikolayNikolaev.html
HitoshiIba.html
http___gpbib.cs.ucl.ac.uk_gecco2001_d01.pdf http://gpbib.cs.ucl.ac.uk/gecco2001/d01.pdf
nikolaev:2001:GPEM Accelerated Genetic Programming of Polynomials
NikolayNikolaev.html
HitoshiIba.html
https___rdcu.be_cT1sb https://rdcu.be/cT1sb
http___dx.doi.org_10.1023_A_1011949326249 http://dx.doi.org/10.1023/A:1011949326249
nikolaev:2002:oaigpop Overfitting Avoidance in Genetic Programming of Polynomials
NikolayNikolaev.html
LilianMdeMenezes.html
HitoshiIba.html
http___dx.doi.org_10.1109_CEC.2002.1004415 http://dx.doi.org/10.1109/CEC.2002.1004415
Nikolaev:2002:gagpcf Genetic Programming of Polynomial Models for Financial Forecasting
NikolayNikolaev.html
HitoshiIba.html
http___www.springer.com_economics_economic_theory_book_978-0-7923-7601-9 http://www.springer.com/economics/economic+theory/book/978-0-7923-7601-9
http___dx.doi.org_10.1007_978-1-4615-0835-9_5 http://dx.doi.org/10.1007/978-1-4615-0835-9_5
Nikolaev:2002:IJNS Genetic Programming of Polynomial Harmonic Networks using the Discrete Fourier Transform
NikolayNikolaev.html
HitoshiIba.html
http___dx.doi.org_10.1142_S0129065702001242 http://dx.doi.org/10.1142/S0129065702001242
ieee-nn:Nikolaev+Iba:2003 Learning polynomial feedforward neural networks by genetic programming and backpropagation
NikolayNikolaev.html
HitoshiIba.html
http___dx.doi.org_10.1109_TNN.2003.809405 http://dx.doi.org/10.1109/TNN.2003.809405
nikolaev:2006:book Adaptive Learning of Polynomial Networks Genetic Programming, Backpropagation and Bayesian Methods
NikolayNikolaev.html
HitoshiIba.html
http___www.springer.com_computer_ai_book_978-0-387-31239-2 http://www.springer.com/computer/ai/book/978-0-387-31239-2
Nikolic:2016:Mechatronics Extreme learning machine approach for sensorless wind speed estimation
VlastimirNikolic.html
ShervinMotamedi.html
ShahaboddinShamshirband.html
DaliborPetkovic.html
SudheerCh.html
MohammadArif.html
http___dx.doi.org_10.1016_j.mechatronics.2015.04.007 http://dx.doi.org/10.1016/j.mechatronics.2015.04.007
http___www.sciencedirect.com_science_article_pii_S0957415815000525 http://www.sciencedirect.com/science/article/pii/S0957415815000525
Nikulin:2017:SICE Evolving the autosteering of a car with realistically simulated steering response
VsevolodNikulin.html
AlbertPodusenko.html
IvanTTanev.html
KatsunoriShimohara.html
http___dx.doi.org_10.23919_SICE.2017.8105642 http://dx.doi.org/10.23919/SICE.2017.8105642
Nikulin:2017:ieeeDSAA Regression Based Model for Autosteering of a Car with Delayed Steering Response
VsevolodNikulin.html
AlbertPodusenko.html
IvanTTanev.html
KatsunoriShimohara.html
http___dx.doi.org_10.1109_DSAA.2017.16 http://dx.doi.org/10.1109/DSAA.2017.16
Nikulin:2018:GECCO Evolving the autosteering of a car featuring a realistically simulated steering response
VsevolodNikulin.html
AlbertPodusenko.html
IvanTTanev.html
KatsunoriShimohara.html
http___dx.doi.org_10.1145_3205455.3205547 http://dx.doi.org/10.1145/3205455.3205547
DBLP:conf/icst/NilizadehLLPC21 Exploring True Test Overfitting in Dynamic Automated Program Repair using Formal Methods
AmirfarhadNilizadeh.html
GaryTLeavens.html
Xuan-BachDinhLe.html
CorinaSPasareanu.html
DavidRCok.html
https___dblp.org_rec_conf_icst_NilizadehLLPC21.bib https://dblp.org/rec/conf/icst/NilizadehLLPC21.bib
https___doi.org_10.1109_ICST49551.2021.00033 https://doi.org/10.1109/ICST49551.2021.00033
http___dx.doi.org_10.1109_ICST49551.2021.00033 http://dx.doi.org/10.1109/ICST49551.2021.00033
https___program-repair.org_bibliography.html https://program-repair.org/bibliography.html
https___github.com_Amirfarhad-Nilizadeh_Java-JML https://github.com/Amirfarhad-Nilizadeh/Java-JML
Nilsen:2023:GPEM Reward tampering and evolutionary computation: a study of concrete AI-safety problems using evolutionary algorithms
MathiasKNilsen.html
TonnesFNygaard.html
KaiOlavEllefsen.html
http___dx.doi.org_10.1007_s10710-023-09456-0 http://dx.doi.org/10.1007/s10710-023-09456-0
Nimura:2022:CEC Evolutionary Topology Optimization Using Quadtree Genetic Programming
NaruhikoNimura.html
AkiraOyama.html
http___dx.doi.org_10.1109_CEC55065.2022.9870331 http://dx.doi.org/10.1109/CEC55065.2022.9870331
nishiguchi:1998:erpmnGP Evolutions of Recursive Programs with Multi-Niche Genetic Programming (mnGP)
MasatoNishiguchi.html
YoshijiFujimoto.html
http___dx.doi.org_10.1109_ICEC.1998.699720 http://dx.doi.org/10.1109/ICEC.1998.699720
Nishiwaki:2015:JRNAL On the Effects of Epigenetic Programming on the Efficiency of Incremental Evolution of the Simulated Khepera Robot
YasutoNishiwaki.html
NaokiMukosaka.html
IvanTTanev.html
KatsunoriShimohara.html
http___www.atlantis-press.com_php_download_paper.php_id_25837 http://www.atlantis-press.com/php/download_paper.php?id=25837
http___dx.doi.org_10.2991_jrnal.2015.2.2.9 http://dx.doi.org/10.2991/jrnal.2015.2.2.9
Nistor:GPEM Discovering novel memory cell designs for sentiment analysis on tweets
SergiuCosminNistor.html
MirceaMoca.html
RazvanLiviuNistor.html
http___dx.doi.org_10.1007_s10710-020-09395-0 http://dx.doi.org/10.1007/s10710-020-09395-0
Nitsure:2009:NaBIC Application of Genetic Programming for estimation of ocean wave heights
SPNitsure.html
SNLondhe.html
KCKhare.html
http___dx.doi.org_10.1109_NABIC.2009.5393666 http://dx.doi.org/10.1109/NABIC.2009.5393666
Nitsure:2012:OE Wave forecasts using wind information and genetic programming
SPNitsure.html
SNLondhe.html
KCKhare.html
http___dx.doi.org_10.1016_j.oceaneng.2012.07.017 http://dx.doi.org/10.1016/j.oceaneng.2012.07.017
http___www.sciencedirect.com_science_article_pii_S0029801812002491 http://www.sciencedirect.com/science/article/pii/S0029801812002491
Nitsure:2014:AOR Prediction of sea water levels using wind information and soft computing techniques
SPNitsure.html
SNLondhe.html
KCKhare.html
http___www.sciencedirect.com_science_article_pii_S0141118714000613 http://www.sciencedirect.com/science/article/pii/S0141118714000613
http___dx.doi.org_10.1016_j.apor.2014.07.003 http://dx.doi.org/10.1016/j.apor.2014.07.003
NIU:2022:watres Artificial intelligence-incorporated membrane fouling prediction for membrane-based processes in the past 20 years: A critical review
ChengxinNiu.html
XuesongLi.html
RuobinDai.html
ZhiweiWang.html
http___dx.doi.org_10.1016_j.watres.2022.118299 http://dx.doi.org/10.1016/j.watres.2022.118299
https___www.sciencedirect.com_science_article_pii_S0043135422002627 https://www.sciencedirect.com/science/article/pii/S0043135422002627
Niu:2009:FSKD A Survey of Contextual Advertising
XiaofeiNiu.html
JunMa.html
DongmeiZhang.html
http___dx.doi.org_10.1109_FSKD.2009.559 http://dx.doi.org/10.1109/FSKD.2009.559
Niu:2010:ICNC Link spam detection based on genetic programming
XiaofeiNiu.html
ShengenLi.html
XuedongNiu.html
NingYuan.html
CuilingZhu.html
http___dx.doi.org_10.1109_ICNC.2010.5583657 http://dx.doi.org/10.1109/ICNC.2010.5583657
conf/waim/NiuMHWZ10 Learning to Detect Web Spam by Genetic Programming
XiaofeiNiu.html
JunMa.html
QiangHe.html
ShuaiqiangWang.html
DongmeiZhang.html
http___dx.doi.org_10.1007_978-3-642-14246-8 http://dx.doi.org/10.1007/978-3-642-14246-8
http___dx.doi.org_10.1007_978-3-642-14246-8_5 http://dx.doi.org/10.1007/978-3-642-14246-8_5
niwa:1996:dGPemsa Distributed Genetic Programming: Empirical Study and Analysis
TatsuyaNiwa.html
HitoshiIba.html
http___cognet.mit.edu_sites_default_files_books_9780262315876_pdfs_9780262315876_chap45.pdf http://cognet.mit.edu/sites/default/files/books/9780262315876/pdfs/9780262315876_chap45.pdf
http___cognet.mit.edu_library_books_view_isbn_0262611279 http://cognet.mit.edu/library/books/view?isbn=0262611279
NoamanLRV16 Recommending degree studies according to students' attitudes in high school by means of subgroup discovery
AminYousefMohammadNoaman.html
JoseMariaLuna.html
AbdulHamidMohamedRagab.html
SebastianVentura.html
http___www.atlantis-press.com_php_download_paper.php_id_25868751 http://www.atlantis-press.com/php/download_paper.php?id=25868751
http___dx.doi.org_10.1080_18756891.2016.1256573 http://dx.doi.org/10.1080/18756891.2016.1256573
Nobile:2013:CEC Reverse Engineering of Kinetic Reaction Networks by Means of Cartesian Genetic Programming and Particle Swarm Optimization
MarcoNobile.html
DanielaBesozzi.html
PaoloCazzaniga.html
DarioPescini.html
GiancarloMauri.html
http___dx.doi.org_10.1109_CEC.2013.6557752 http://dx.doi.org/10.1109/CEC.2013.6557752
Nobile:thesis Evolutionary Inference of Biological Systems Accelerated on Graphics Processing Units
MarcoNobile.html
https___boa.unimib.it_handle_10281_75434 https://boa.unimib.it/handle/10281/75434
https___boa.unimib.it_retrieve_handle_10281_75434_111846_PhD_unimib__20_09603317.pdf https://boa.unimib.it/retrieve/handle/10281/75434/111846/PhD_unimib_%20%09603317.pdf
Nobile:2013:HPCS Evolutionary inference of biochemical reaction networks accelerated on graphics processing units
MarcoNobile.html
http___dx.doi.org_10.1109_HPCSim.2013.6641490 http://dx.doi.org/10.1109/HPCSim.2013.6641490
nodelman:1998:TERMMEDLSM The Evolution of Relational Memory Models and the Emergence of Distinct Long-term and Short-term Memories
UriNodelman.html
RePEc:sce:scecf7:102 The Self-Evolving Logic of Financial Claim Prices
ThomasHNoe.html
http___bucky.stanford.edu_cef97_abstracts_noe.html http://bucky.stanford.edu/cef97/abstracts/noe.html
http___ideas.repec.org_p_sce_scecf7_102.html http://ideas.repec.org/p/sce/scecf7/102.html
Noe:2002:gagpcf The Self-Evolving Logic of Financial Claim Prices
ThomasHNoe.html
Jun_Jonathan_Wang.html
http___www.springer.com_economics_economic_theory_book_978-0-7923-7601-9 http://www.springer.com/economics/economic+theory/book/978-0-7923-7601-9
http___dx.doi.org_10.1007_978-1-4615-0835-9_12 http://dx.doi.org/10.1007/978-1-4615-0835-9_12
Noel:2011:GPTP Baseline Genetic Programming: Symbolic Regression on Benchmarks for Sensory Evaluation Modeling
Pierre-LucNoel.html
KalyanVeeramachaneni.html
Una-MayO'Reilly.html
http___dx.doi.org_10.1007_978-1-4614-1770-5_10 http://dx.doi.org/10.1007/978-1-4614-1770-5_10
noh:2021:Water Multi-Gene Genetic Programming Regression Model for Prediction of Transient Storage Model Parameters in Natural Rivers
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kinnear:nordin A Compiling Genetic Programming System that Directly Manipulates the Machine Code
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Nordin:1995:cce Complexity Compression and Evolution
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nordin:1995:robot Genetic Programming Controlling a Miniature Robot
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oai:CiteSeerPSU:392556 Real Time Evolution of Behavior and a World Model for a Miniature Robot using Genetic Programming
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nordin:1996:aigp2 Explicitly Defined Introns and Destructive Crossover in Genetic Programming
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nordin:1996:pcis Programmatic Compression of Images and Sound
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nordin:1996:iric-paint Image recognition and image encoding using paint primitives and genetic programming
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nordin:1997:grep Genetic Reasoning Evolving Proofs with Genetic Search
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nordin:1997:insse Introns in Nature and in Simulated Structure Evolution
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Nordin:1997:CC Real Time Control of a Khepera Robot using Genetic Programming
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nordin:thesis Evolutionary Program Induction of Binary Machine Code and its Applications
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nordin:1998:AIMGP:lb AIMGP: A Formal Description
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Nordin:1998:RAS Evolution of a world model for a miniature robot using genetic programming
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nordin:1999:AP AIM-GP and Parallelism
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North:2015:WSC Applying 3D printing and genetic algorithm-generated anticipatory system dynamics models to a homeland security challenge
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NOSRATI:2021:IST Test data generation using genetic programming
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http___www.sciencedirect.com_science_article_pii_S002216941400242X http://www.sciencedirect.com/science/article/pii/S002216941400242X
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nourani:2014:NH Landslide susceptibility mapping at Zonouz Plain, Iran using genetic programming and comparison with frequency ratio, logistic regression, and artificial neural network models
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Novaes:2017:GECCO Econometric Genetic Programming Outperforms Traditional Econometric Algorithms for Regression Tasks
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Nowack:2023:GI 12th International Workshop on Genetic Improvement @ICSE 2023
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AymericBlot.html
JustynaPetke.html
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Nowakova2013245 Fuzzy linear regression analysis
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Nowakova2014511 On multidimensional linear modelling including real uncertainty
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Nowakova2014413 System Identification Using Genetic Algorithms
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Nowakova2014133 Automatic power system identification using genetic algorithms
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Nowakova:2017:ieeeSSCI System identification acceleration and improvement with genetic programming usage
JanaNowakova.html
JanPlatos.html
MartinHasal.html
http___dx.doi.org_10.1109_SSCI.2017.8285434 http://dx.doi.org/10.1109/SSCI.2017.8285434
oai:CiteSeerPSU:431878 Emergent Thought Automated Agent Design
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nowostawski:2002:ALW Hierarchical Code Generators
MariuszNowostawski.html
http___www.alife.org_alife8_workshops_10.pdf http://www.alife.org/alife8/workshops/10.pdf
DBLP:conf/esoa/NowostawskiP06 Evolution and Hypercomputing in Global Distributed Evolvable Virtual Machines Environment
MariuszNowostawski.html
MartinKPurvis.html
http___dx.doi.org_10.1007_978-3-540-69868-5_12 http://dx.doi.org/10.1007/978-3-540-69868-5_12
Nowostawski:2006:alife EVM Architecture and Complexity
MariuszNowostawski.html
MartinKPurvis.html
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Nowostawski:2009:IMCSIT EVM: Lifelong reinforcement and self-learning
MariuszNowostawski.html
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nugent:2002:MIDM Prediction models in the design of neural network based ECG classifiers: A neural network and genetic programming approach
ChrisDNugent.html
JesusALopez.html
AnnESmith.html
NormanDBlack.html
http___www.biomedcentral.com_1472-6947_2_1_abstract http://www.biomedcentral.com/1472-6947/2/1/abstract
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http___dx.doi.org_10.1186_1472-6947-2-1 http://dx.doi.org/10.1186/1472-6947-2-1
Nugraheni:2016:ICIC Multi Agent Hyper-Heuristics based framework for production scheduling problem
CeciliaEstiNugraheni.html
LucianaAbednego.html
http___dx.doi.org_10.1109_IAC.2016.7905735 http://dx.doi.org/10.1109/IAC.2016.7905735
Nuij:2014:ieeeKDE An Automated Framework for Incorporating News into Stock Trading Strategies
WijnandNuij.html
ViorelMilea.html
FrederikHogenboom.html
FlaviusFrasincar.html
UzayKaymak.html
http___dx.doi.org_10.1109_TKDE.2013.133 http://dx.doi.org/10.1109/TKDE.2013.133
numata:1998:tspGP Time Series Prediction by Genetic Programming
MakotoNumata.html
KenSugawara.html
IkuoYoshihara.html
KenichiAbe.html
numata:1999:tspGP Time series prediction modeling by genetic programming without inheritance of model parameters
MakotoNumata.html
KenSugawara.html
SYamada.html
IkuoYoshihara.html
KenichiAbe.html
numata:1999:G GP-based heart rate prediction for artificial heart control
MakotoNumata.html
IkuoYoshihara.html
MYoshizawa.html
KenichiAbe.html
oai:arXiv.org:1407.0698 Continuous On-line Evolution of Agent Behaviours with Cartesian Genetic Programming
DavideNunes.html
LuisAntunes.html
http___arxiv.org_abs_1407.0698 http://arxiv.org/abs/1407.0698
Nunez:2006:msoec Modeling and Simulation Optimization Using Evolutionary Computation
EdwinNunez.html
PaulAgarwal.html
MarshallMcBride.html
RonaldLiedel.html
ClaudetteOwens.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_06S-SIW-089.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/06S-SIW-089.pdf
http___ms.ie.org_SIW_LOG_06S_06S-SIW-089.doc http://ms.ie.org/SIW_LOG/06S/06S-SIW-089.doc
Nunez:2006:HPCMP High Performance Evolutionary Computing
EdwinNunez.html
EdwinRogerBanks.html
PaulAgarwal.html
MarshallMcBride.html
RonaldLiedel.html
http___dx.doi.org_10.1109_HPCMP-UGC.2006.31 http://dx.doi.org/10.1109/HPCMP-UGC.2006.31
Nunkesser:2007:bioinf Detecting high-order interactions of single nucleotide polymorphisms using genetic programming
RobinNunkesser.html
ThorstenBernholt.html
HolgerSchwender.html
KatjaIckstadt.html
IngoWegener.html
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Nunkesser:2008:gecco Analysis of a genetic programming algorithm for association studies
RobinNunkesser.html
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Nunkesser:thesis Algorithms for regression and classification - Robust regression and genetic association studies
RobinNunkesser.html
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Nyathi:2017:evoApplications Automated Design of Genetic Programming Classification Algorithms Using a Genetic Algorithm
ThamboNyathi.html
NelishiaPillay.html
http___dx.doi.org_10.1007_978-3-319-55792-2_15 http://dx.doi.org/10.1007/978-3-319-55792-2_15
Nyathi2018EWSA Comparison of a Genetic Algorithm to Grammatical Evolution for Automated Design of Genetic Programming Classification Algorithms
ThamboNyathi.html
NelishiaPillay.html
http___www.sciencedirect.com_science_article_pii_S0957417418301751 http://www.sciencedirect.com/science/article/pii/S0957417418301751
http___dx.doi.org_10.1016_j.eswa.2018.03.030 http://dx.doi.org/10.1016/j.eswa.2018.03.030
Nyathi_Thambo_2018 Automated design of genetic programming of classification algorithms
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Nyathi:2018:TPNC Automated Design of Genetic Programming Classification Algorithms for Financial Forecasting Using Evolutionary Algorithms
ThamboNyathi.html
NelishiaPillay.html
http___dx.doi.org_10.1007_978-3-030-04070-3 http://dx.doi.org/10.1007/978-3-030-04070-3
DBLP:conf/tpnc/NyathiP21 On the Transfer Learning of Genetic Programming Classification Algorithms
ThamboNyathi.html
NelishiaPillay.html
https___rdcu.be_c8syc https://rdcu.be/c8syc
https___doi.org_10.1007_978-3-030-90425-8_4 https://doi.org/10.1007/978-3-030-90425-8_4
http___dx.doi.org_10.1007_978-3-030-90425-8_4 http://dx.doi.org/10.1007/978-3-030-90425-8_4
https___dblp.org_rec_conf_tpnc_NyathiP21.bib https://dblp.org/rec/conf/tpnc/NyathiP21.bib
Nyongesa:2001:aampfd Genetic programming for anti-air missile proximity fuze delay-time algorithms
HenryNyongesa.html
SimonKent.html
RO'Keefe.html
http___ieeexplore.ieee.org_iel5_62_19347_00894177.pdf http://ieeexplore.ieee.org/iel5/62/19347/00894177.pdf
http___dx.doi.org_10.1109_62.894177 http://dx.doi.org/10.1109/62.894177
nyongesa:2001:EvoWorks Generation of Time-Delay Algorithms for Anti-air Missiles Using Genetic Programming
HenryNyongesa.html
http___dx.doi.org_10.1007_3-540-45365-2_25 http://dx.doi.org/10.1007/3-540-45365-2_25
kinnear:oakley Two Scientific Applications of Genetic Programming: Stack Filters and Non-Linear Equation Fitting to Chaotic Data
HowardOakley.html
http___www.amazon.co.uk_Advances-Genetic-Programming-Complex-Adaptive_dp_0262111888 http://www.amazon.co.uk/Advances-Genetic-Programming-Complex-Adaptive/dp/0262111888
http___cognet.mit.edu_sites_default_files_books_9780262277181_pdfs_9780262277181_chap17.pdf http://cognet.mit.edu/sites/default/files/books/9780262277181/pdfs/9780262277181_chap17.pdf
http___dx.doi.org_10.7551_mitpress_1108.003.0023 http://dx.doi.org/10.7551/mitpress/1108.003.0023
Oakley:INM Signal Filtering and data Processing for Laser Rheometry
HowardOakley.html
oakley:1994:sncds The application of genetic programming to the investigation of short, noisy, chaotic data series
HowardOakley.html
http___dx.doi.org_10.1007_3-540-58483-8_24 http://dx.doi.org/10.1007/3-540-58483-8_24
oakley:1995:chaos Genetic Programming as a Means of Assessing and Reflecting Chaos
HowardOakley.html
http___www.aaai.org_Papers_Symposia_Fall_1995_FS-95-01_FS95-01-009.pdf http://www.aaai.org/Papers/Symposia/Fall/1995/FS-95-01/FS95-01-009.pdf
http___www.aaai.org_Library_Symposia_Fall_fs95-01.php http://www.aaai.org/Library/Symposia/Fall/fs95-01.php
oakley:1996:GPrcb Genetic Programming, the Reflection of Chaos, and the Bootstrap: Towards a useful Test for Chaos
HowardOakley.html
http___www.quercus.demon.co.uk_oakgp96.pdf http://www.quercus.demon.co.uk/oakgp96.pdf
http___cognet.mit.edu_sites_default_files_books_9780262315876_pdfs_9780262315876_chap21.pdf http://cognet.mit.edu/sites/default/files/books/9780262315876/pdfs/9780262315876_chap21.pdf
http___cognet.mit.edu_library_books_view_isbn_0262611279 http://cognet.mit.edu/library/books/view?isbn=0262611279
oakley:1997:HECsf Genetic programming for stack filters
HowardOakley.html
http___citeseerx.ist.psu.edu_viewdoc_download_doi_10.1.1.375.6494.pdf http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.375.6494.pdf
https___www.amazon.com_Handbook-Evolutionary-Computation-Computational-Intelligence_dp_0750303921 https://www.amazon.com/Handbook-Evolutionary-Computation-Computational-Intelligence/dp/0750303921
oakley:1997:HECcd Genetic programming for non-linear equation fitting to chaotic data
HowardOakley.html
http___citeseerx.ist.psu.edu_viewdoc_download_doi_10.1.1.375.6494.pdf http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.375.6494.pdf
https___www.amazon.com_Handbook-Evolutionary-Computation-Computational-Intelligence_dp_0750303921 https://www.amazon.com/Handbook-Evolutionary-Computation-Computational-Intelligence/dp/0750303921
OBrien:2021:GI Using Genetic Improvement to Retarget quantum Software on Differing Hardware
GeorgeO'Brien.html
JohnAClark.html
https___www.youtube.com_watch_v_yUooM4q_LF8_list_PLI8fiFpB7BoKDaxvS7SQp0iA7fN7rrvDD_index_11 https://www.youtube.com/watch?v=yUooM4q_LF8&list=PLI8fiFpB7BoKDaxvS7SQp0iA7fN7rrvDD&index=11
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http___dx.doi.org_10.1109_GI52543.2021.00015 http://dx.doi.org/10.1109/GI52543.2021.00015
O'Brien:thesis Automated Design Simplification of Quantum Program Synthesis
GeorgeO'Brien.html
https___etheses.whiterose.ac.uk_31712_ https://etheses.whiterose.ac.uk/31712/
https___etheses.whiterose.ac.uk_31712_1_GOBRIENFinalSubmissionWHITEROSE.pdf https://etheses.whiterose.ac.uk/31712/1/GOBRIENFinalSubmissionWHITEROSE.pdf
10.1109/ICNICONSMCL.2006.47 An Approach to Automated Design of Security Protocols
PavelOcenasek.html
MiroslavSveda.html
http___dx.doi.org_10.1109_ICNICONSMCL.2006.47 http://dx.doi.org/10.1109/ICNICONSMCL.2006.47
Ochoa:1998:PPSN On genetic algorithms and Lindenmayer systems
GabrielaOchoa.html
http___www.cs.stir.ac.uk__goc_papers_GAsandL-systems.pdf http://www.cs.stir.ac.uk/~goc/papers/GAsandL-systems.pdf
http___dx.doi.org_10.1007_BFb0056876 http://dx.doi.org/10.1007/BFb0056876
Ochoa:2005:EA Incorporating Knowledge of Secondary Structures in a L-System-Based Encoding for Protein Folding
GabrielaOchoa.html
GabiEscuela.html
NatalioKrasnogor.html
http___www.cs.stir.ac.uk__goc_papers_LsysPFPEA05.pdf http://www.cs.stir.ac.uk/~goc/papers/LsysPFPEA05.pdf
http___dx.doi.org_10.1007_11740698_22 http://dx.doi.org/10.1007/11740698_22
Ochoa:2011:GECCOcomp Automated heuristic design
GabrielaOchoa.html
MatthewRHyde.html
EdmundBurke.html
http___dx.doi.org_10.1145_2001858.2002139 http://dx.doi.org/10.1145/2001858.2002139
Ochoa:2019:sigevolution About the Cover
GabrielaOchoa.html
https___evolution.sigevo.org_issues_SIGEVOlution1202.pdf https://evolution.sigevo.org/issues/SIGEVOlution1202.pdf
https___dl.acm.org_citation.cfm_id_3357514 https://dl.acm.org/citation.cfm?id=3357514
Ochodek:2023:ACC Mining Task-Specific Lines of Code Counters
MiroslawOchodek.html
KrzysztofDurczak.html
JerzyNawrocki.html
MiroslawStaron.html
http___dx.doi.org_10.1109_ACCESS.2023.3314572 http://dx.doi.org/10.1109/ACCESS.2023.3314572
O'Donnell:2008:INLG Evolving Questions in Text Planning
MichaelO'Donnell.html
http___www.aclweb.org_anthology-new_W_W08_W08-1116.pdf http://www.aclweb.org/anthology-new/W/W08/W08-1116.pdf
https___dl.acm.org_doi_10.5555_1708322.1708345 https://dl.acm.org/doi/10.5555/1708322.1708345
ODonnell:2007:SPIE Genetic programming techniques for thin-wire antennas
TerryHO'Donnell.html
http___dx.doi.org_10.1117_12.723690 http://dx.doi.org/10.1117/12.723690
odriscoll:2002:gecco:workshop Synthesising Edge Detectors with Grammatical Evolution
MarianneO'Driscoll.html
StephenMcKenna.html
JohnJamesCollins.html
Oduguwa:2005:ASC Evolutionary computing in manufacturing industry: an overview of recent applications
VictorOduguwa.html
AshutoshTiwari.html
RajkumarRoy.html
http___www.sciencedirect.com_science_article_B6W86-4DJ471C-1_2_1523fa6d00548a23d3f0ea2bce5098a0 http://www.sciencedirect.com/science/article/B6W86-4DJ471C-1/2/1523fa6d00548a23d3f0ea2bce5098a0
http___dx.doi.org_10.1016_j.asoc.2004.08.003 http://dx.doi.org/10.1016/j.asoc.2004.08.003
conf/icvs/OechsleC08 Feature Extraction and Classification by Genetic Programming
OllyOechsle.html
AdrianFClark.html
http___dx.doi.org_10.1007_978-3-540-79547-6_13 http://dx.doi.org/10.1007/978-3-540-79547-6_13
oechsle2009a Towards the Automatic Construction of Machine Vision Systems using Genetic Programming
OllyOechsle.html
http___vision.cs.man.ac.uk_theses_thesis.php_oechsle2009a_.pdf http://vision.cs.man.ac.uk/theses/thesis.php?oechsle2009a&.pdf
http___ethos.bl.uk_OrderDetails.do_did_41_uin_uk.bl.ethos.510504 http://ethos.bl.uk/OrderDetails.do?did=41&uin=uk.bl.ethos.510504
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Oesch:2013:CEC Portfolio Optimization under Market Impact Costs
ChristianOesch.html
DietmarGMaringer.html
http___dx.doi.org_10.1109_CEC.2013.6557546 http://dx.doi.org/10.1109/CEC.2013.6557546
conf/is/OeschM14 A Neutral Mutation Operator in Grammatical Evolution
ChristianOesch.html
DietmarGMaringer.html
http___dx.doi.org_10.1007_978-3-319-11313-5 http://dx.doi.org/10.1007/978-3-319-11313-5
http___dx.doi.org_10.1007_978-3-319-11313-5_39 http://dx.doi.org/10.1007/978-3-319-11313-5_39
Oesch:2017:ieeeSSCI P-Tree programming
ChristianOesch.html
http___dx.doi.org_10.1109_SSCI.2017.8280849 http://dx.doi.org/10.1109/SSCI.2017.8280849
Oesch:thesis A Computational Investigation of Price Impact
ChristianOesch.html
https___forschdb2.unibas.ch_inf2_rm_projects_object_view.php_r_3713292 https://forschdb2.unibas.ch/inf2/rm_projects/object_view.php?r=3713292
oestreich:1998:FPUAMGP Formulating Proofs in Universal Algebra Model with Genetic Programming
NathanOestreich.html
ofria:1999:R Robustness and evolvability of programming languages
CharlesOfria.html
Ofria:2002:ieeeTEC Design of evolvable computer languages
CharlesOfria.html
ChristophAdami.html
TravisCCollier.html
http___dx.doi.org_10.1109_TEVC.2002.802442 http://dx.doi.org/10.1109/TEVC.2002.802442
ofria:2004:AL Avida: A Software Platform for Research in Computational Evolutionary Biology
CharlesOfria.html
ClausOWilke.html
http___www.cse.msu.edu__ofria_home_pubs_papers_AvidaIntro-ALife.pdf http://www.cse.msu.edu/~ofria/home/pubs/papers/AvidaIntro-ALife.pdf
http___dx.doi.org_10.1162_106454604773563612 http://dx.doi.org/10.1162/106454604773563612
Ogawa:2007:TIE Onboard Evolutionary Risk Recognition System for Automobiles Toward the Risk Map System
GenyaOgawa.html
KatsuyukiKise.html
TsuyoshiTorii.html
TomoharuNagao.html
http___dx.doi.org_10.1109_TIE.2007.891654 http://dx.doi.org/10.1109/TIE.2007.891654
ogawa:2008:ALR Backward movement control with two-trailer truck system using genetic programming
TakanoriOgawa.html
NaokiOshiro.html
HiroshiKinjo.html
http___link.springer.com_article_10.1007_s10015-008-0525-5 http://link.springer.com/article/10.1007/s10015-008-0525-5
http___dx.doi.org_10.1007_s10015-008-0525-5 http://dx.doi.org/10.1007/s10015-008-0525-5
ogawa:2009:ALR Generating function of color information detection using genetic programming
TakanoriOgawa.html
NaokiOshiro.html
HiroshiKinjo.html
http___link.springer.com_article_10.1007_s10015-009-0704-z http://link.springer.com/article/10.1007/s10015-009-0704-z
http___dx.doi.org_10.1007_s10015-009-0704-z http://dx.doi.org/10.1007/s10015-009-0704-z
Ogino:thesis A chaos analysis based construction and estimation of artificial stock markets consist of multi-agents
ShintaroOgino.html
http___hdl.handle.net_10131_447 http://hdl.handle.net/10131/447
http___kamome.lib.ynu.ac.jp_dspace_bitstream_10131_447_1_11656576-01.pdf http://kamome.lib.ynu.ac.jp/dspace/bitstream/10131/447/1/11656576-01.pdf
Oguz:2019:ASYU Adaptive Evolution of Finite State Machines for the Tartarus Problem
KayaOguz.html
http___dx.doi.org_10.1109_ASYU48272.2019.8946413 http://dx.doi.org/10.1109/ASYU48272.2019.8946413
DBLP:journals/aai/OguzB22 Prediction of Local Scour around Bridge Piers Using Hierarchical Clustering and Adaptive Genetic Programming
KayaOguz.html
AsliBorTurkben.html
https___doi.org_10.1080_08839514.2021.2001734 https://doi.org/10.1080/08839514.2021.2001734
http___dx.doi.org_10.1080_08839514.2021.2001734 http://dx.doi.org/10.1080/08839514.2021.2001734
https___dblp.org_rec_journals_aai_OguzB22.bib https://dblp.org/rec/journals/aai/OguzB22.bib
oh:2004:acdfuavumgp Autonomous Controller Design for Unmanned Aerial Vehicles using Multi-objective Genetic Programming
ChoongKOh.html
GregoryJBarlow.html
http___www.cs.cmu.edu__gjb_includes_publications_conference_oh2004-cec_oh2004-cec.pdf http://www.cs.cmu.edu/~gjb/includes/publications/conference/oh2004-cec/oh2004-cec.pdf
http___dx.doi.org_10.1109_CEC.2004.1331079 http://dx.doi.org/10.1109/CEC.2004.1331079
Oh:2008:BICTA An evolutionary cluster validation index
SanghounOh.html
ChangWookAhn.html
MoonguJeon.html
http___dx.doi.org_10.1109_BICTA.2008.4656708 http://dx.doi.org/10.1109/BICTA.2008.4656708
Oh:2009:BIC-TA Evolutionary optimization programming with probabilistic models
SanghounOh.html
SangwookLee.html
MoonguJeon.html
http___dx.doi.org_10.1109_BICTA.2009.5338075 http://dx.doi.org/10.1109/BICTA.2009.5338075
oh:2021:Symmetry Self-Adaptive Genetic Programming for Manufacturing Big Data Analysis
SanghounOh.html
Woong-HyunSuh.html
ChangWookAhn.html
https___www.mdpi.com_2073-8994_13_4_709 https://www.mdpi.com/2073-8994/13/4/709
http___dx.doi.org_10.3390_sym13040709 http://dx.doi.org/10.3390/sym13040709
DBLP:journals/corr/abs-2302-03175 Genetic Programming Based Symbolic Regression for Analytical Solutions to Differential Equations
HongsupOh.html
RomanAmici.html
GeoffreyFBomarito.html
ShandianZhe.html
RobertKirby.html
JacobDeanHochhalter.html
https___doi.org_10.48550_arXiv.2302.03175 https://doi.org/10.48550/arXiv.2302.03175
http___dx.doi.org_10.48550_arXiv.2302.03175 http://dx.doi.org/10.48550/arXiv.2302.03175
https___dblp.org_rec_journals_corr_abs-2302-03175.bib https://dblp.org/rec/journals/corr/abs-2302-03175.bib
OHagan:2015:GPEM Software review: the KNIME workflow environment and its applications in genetic programming and machine learning
SteveO'Hagan.html
DouglasBKell.html
http___dx.doi.org_10.1007_s10710-015-9247-3 http://dx.doi.org/10.1007/s10710-015-9247-3
Ohe:2008:SCIE Design support classifier of filter circuit structure
KeitaOhe.html
MasamiKonishi.html
JunImai.html
http___dx.doi.org_10.1109_SICE.2008.4655123 http://dx.doi.org/10.1109/SICE.2008.4655123
Ohkawa:2008:gecco Varying portfolio construction of stocks using genetic network programming with control nodes
EtsushiOhkawa.html
YanChen.html
ShingoMabu.html
KaoruShimada.html
KotaroHirasawa.html
http___gpbib.cs.ucl.ac.uk_gecco2008_docs_p1715.pdf http://gpbib.cs.ucl.ac.uk/gecco2008/docs/p1715.pdf
http___dx.doi.org_10.1145_1389095.1389424 http://dx.doi.org/10.1145/1389095.1389424
Ohri:2018:ICCA Partial Sampling Operator and Structural Distance Ranking for Multi-Objective GP
MakotoOhki.html
http___dx.doi.org_10.1109_COMAPP.2018.8460386 http://dx.doi.org/10.1109/COMAPP.2018.8460386
DBLP:conf/ijcci/Ohki18 Partial Sampling Operator and Tree-structural Distance for Multi-objective Genetic Programming
MakotoOhki.html
https___doi.org_10.5220_0006894401100117 https://doi.org/10.5220/0006894401100117
http___dx.doi.org_10.5220_0006894401100117 http://dx.doi.org/10.5220/0006894401100117
https___dblp.org_rec_conf_ijcci_Ohki18.bib https://dblp.org/rec/conf/ijcci/Ohki18.bib
ohki:2019:SNas Multi-objective genetic programming with partial sampling and its extension to many-objective
MakotoOhki.html
http___link.springer.com_article_10.1007_s42452-019-0208-y http://link.springer.com/article/10.1007/s42452-019-0208-y
http___dx.doi.org_10.1007_s42452-019-0208-y http://dx.doi.org/10.1007/s42452-019-0208-y
Ohki:2019:DDP An Effective Many-Objective Extension of Genetic Programming and Its Benchmark
MakotoOhki.html
http___dx.doi.org_10.1109_DDP.2019.00027 http://dx.doi.org/10.1109/DDP.2019.00027
Ohki:2020:CoDIT Verification of Applicability of MOEAs to Many-Objective GP Problem
MakotoOhki.html
http___dx.doi.org_10.1109_CoDIT49905.2020.9263818 http://dx.doi.org/10.1109/CoDIT49905.2020.9263818
Ohki:2020:GECCOcomp A Benchmark with Facile Adjustment of Difficulty for Many-Objective Genetic Programming and Its Reference Set
MakotoOhki.html
https___doi.org_10.1145_3377929.3398080 https://doi.org/10.1145/3377929.3398080
http___dx.doi.org_10.1145_3377929.3398080 http://dx.doi.org/10.1145/3377929.3398080
Ohki:2021:SISY A Fundamental Technique Generating Reference Points on Hypersurfaces for MaOEAs
MakotoOhki.html
http___dx.doi.org_10.1109_SISY52375.2021.9582482 http://dx.doi.org/10.1109/SISY52375.2021.9582482
Ohsugi:2021:ISC Traveling Salesman Problem on Smart Meter Infrastructure
ShimpeiOhsugi.html
SoNegishi.html
KensakuOkada.html
HayatoYoshii.html
KenjiTanaka.html
NoboruKoshizuka.html
http___dx.doi.org_10.1109_ISC253183.2021.9562827 http://dx.doi.org/10.1109/ISC253183.2021.9562827
Ohtani1998561 Designing production rules for geometrical configurations using genetic operations
ShinobuOhtani.html
HiroshiFuruya.html
http___dx.doi.org_10.1016_B978-008043319-6_50063-7 http://dx.doi.org/10.1016/B978-008043319-6/50063-7
http___www.sciencedirect.com_science_article_B8558-4P9W00Y-29_2_da8834b04dc09b0d4203d1280e240c56 http://www.sciencedirect.com/science/article/B8558-4P9W00Y-29/2/da8834b04dc09b0d4203d1280e240c56
Ojha:thesis Feature Selection and Function Approximation Using Adaptive Algorithms
VarunKumarOjha.html
http___hdl.handle.net_10084_112274 http://hdl.handle.net/10084/112274
http___dspace.vsb.cz_bitstream_handle_10084_112274_OJH0009_FEI_P1807_1801V001_2016.pdf http://dspace.vsb.cz/bitstream/handle/10084/112274/OJH0009_FEI_P1807_1801V001_2016.pdf
Ojha:2017:ASC Ensemble of heterogeneous flexible neural trees using multiobjective genetic programming
VarunKumarOjha.html
AjithAbraham.html
VaclavSnasel.html
http___dx.doi.org_10.1016_j.asoc.2016.09.035 http://dx.doi.org/10.1016/j.asoc.2016.09.035
http___www.sciencedirect.com_science_article_pii_S156849461630494X http://www.sciencedirect.com/science/article/pii/S156849461630494X
Ojha:2018:ieeeFUZZ Multiobjective Programming for Type-2 Hierarchical Fuzzy Inference Trees
VarunKumarOjha.html
VaclavSnasel.html
AjithAbraham.html
http___dx.doi.org_10.1109_TFUZZ.2017.2698399 http://dx.doi.org/10.1109/TFUZZ.2017.2698399
Ojha:2020:CEC Multi-Objective Optimisation of Multi-Output Neural Trees
VarunKumarOjha.html
GiuseppeNicosia.html
http___dx.doi.org_10.1109_CEC48606.2020.9185600 http://dx.doi.org/10.1109/CEC48606.2020.9185600
ok00improving Improving Performance of GP by Adaptive Terminal Selection
SooyolOk.html
KazuoMiyashita.html
SeiichiNishihara.html
http___staff.aist.go.jp_k.miyashita_publications_PRICAI2000.ps http://staff.aist.go.jp/k.miyashita/publications/PRICAI2000.ps
http___citeseer.ist.psu.edu_394599.html http://citeseer.ist.psu.edu/394599.html
ok:2001:eblgpapr Evolving Bipedal Locomotion with Genetic Programming --- A Preliminary Report ---
SooyolOk.html
KazuoMiyashita.html
KazunoriHase.html
http___staff.aist.go.jp_k.miyashita_publications_cec.ps http://staff.aist.go.jp/k.miyashita/publications/cec.ps
http___dx.doi.org_10.1109_CEC.2001.934303 http://dx.doi.org/10.1109/CEC.2001.934303
Oka:2000:DDTICGP Design of Decision Trees through Integration of C4.5 and GP
Shin'ichiOka.html
QiangfuZhao.html
http___www.u-aizu.ac.jp__qf-zhao_CONTRIBUTION_oka-zhao.ps.Z http://www.u-aizu.ac.jp/~qf-zhao/CONTRIBUTION/oka-zhao.ps.Z
http___130.203.133.150_viewdoc_summary_doi_10.1.1.23.3179 http://130.203.133.150/viewdoc/summary?doi=10.1.1.23.3179
http___nla.gov.au_nla.cat-vn1175103 http://nla.gov.au/nla.cat-vn1175103
Okano:2020:NicoInt A Method for Generating Mazes with Length Constraint using Genetic Programming
KiotakaOkano.html
KatsutsuguMatsuyama.html
http___dx.doi.org_10.1109_NicoInt50878.2020.00014 http://dx.doi.org/10.1109/NicoInt50878.2020.00014
Okhovat2012793 Modeling of arsenic, chromium and cadmium removal by nanofiltration process using genetic programming
AhmadOkhovat.html
SeyedMahmoudMousavi.html
http___dx.doi.org_10.1016_j.asoc.2011.10.012 http://dx.doi.org/10.1016/j.asoc.2011.10.012
http___www.sciencedirect.com_science_article_pii_S1568494611004066 http://www.sciencedirect.com/science/article/pii/S1568494611004066
oksanen:2017:CEC Lexicase selection promotes effective search and behavioural diversity of solutions in Linear Genetic Programming
KaroliinaOksanen.html
TingHu.html
http___dx.doi.org_10.1109_CEC.2017.7969310 http://dx.doi.org/10.1109/CEC.2017.7969310
Oksel:2016:Nanotoxicology Accurate and interpretable nanoSAR models from genetic programming-based decision tree construction approaches
CeydaOksel.html
DavidAWinkler.html
CaiYMa.html
TerryWilkins.html
XueZhongWang.html
http___dx.doi.org_10.3109_17435390.2016.1161857 http://dx.doi.org/10.3109/17435390.2016.1161857
http___eprints.whiterose.ac.uk_96571_ http://eprints.whiterose.ac.uk/96571/
http___dx.doi.org_10.3109_17435390.2016.1161857 http://dx.doi.org/10.3109/17435390.2016.1161857
Oladeji:2019:ijca Model for Predicting the Risk of Kidney Stone using Data Mining Techniques
FlorenceAlabaOladeji.html
PAIdowu.html
NEgejuru.html
SGFaluyi.html
JABalogun.html
http___www.ijcaonline.org_archives_volume182_number38_30317-2019918404 http://www.ijcaonline.org/archives/volume182/number38/30317-2019918404
https___www.ijcaonline.org_archives_volume182_number38_oladeji-2019-ijca-918404.pdf https://www.ijcaonline.org/archives/volume182/number38/oladeji-2019-ijca-918404.pdf
http___dx.doi.org_10.5120_ijca2019918404 http://dx.doi.org/10.5120/ijca2019918404
Olague:2006:sigevo GECCO-2006 Highlights. Human Competitive Awards The Humies. Synthesis of Interest Point Detectors Through Genetic Programming
GustavoOlague.html
http___www.sigevolution.org_2006_03_issue.pdf http://www.sigevolution.org/2006/03/issue.pdf
https___dl.acm.org_toc_sigevo_2006_1_3 https://dl.acm.org/toc/sigevo/2006/1/3
olague:evows07 Multiclass Object Recognition based on Texture Linear Genetic Programming
GustavoOlague.html
EvaRomero.html
LeonardoTrujillo.html
BirBhanu.html
http___cienciascomp.cicese.mx_evovision_olague-evoiasp07.pdf http://cienciascomp.cicese.mx/evovision/olague-evoiasp07.pdf
http___dx.doi.org_10.1007_978-3-540-71805-5_32 http://dx.doi.org/10.1007/978-3-540-71805-5_32
Olague:2009:bhisiapr A Genetic Programming Approach to the Design of Interest Point Operators
GustavoOlague.html
LeonardoTrujillo.html
http___dx.doi.org_10.1007_978-3-642-04516-5_3 http://dx.doi.org/10.1007/978-3-642-04516-5_3
Olague2011 Evolutionary-computer-assisted design of image operators that detect interest points using genetic programming
GustavoOlague.html
LeonardoTrujillo.html
http___dx.doi.org_10.1016_j.imavis.2011.03.004 http://dx.doi.org/10.1016/j.imavis.2011.03.004
http___www.sciencedirect.com_science_article_B6V09-52GXV83-1_2_1462102339b445428fa4f2702939a41e http://www.sciencedirect.com/science/article/B6V09-52GXV83-1/2/1462102339b445428fa4f2702939a41e
Olague20122566 Interest point detection through multiobjective genetic programming
GustavoOlague.html
LeonardoTrujillo.html
http___dx.doi.org_10.1016_j.asoc.2012.03.058 http://dx.doi.org/10.1016/j.asoc.2012.03.058
http___www.sciencedirect.com_science_article_pii_S1568494612001706 http://www.sciencedirect.com/science/article/pii/S1568494612001706
Olague:book Evolutionary Computer Vision: The First Footprints
GustavoOlague.html
http___dx.doi.org_10.1007_978-3-662-43693-6 http://dx.doi.org/10.1007/978-3-662-43693-6
http___dx.doi.org_10.1007_978-3-662-43693-6_9 http://dx.doi.org/10.1007/978-3-662-43693-6_9
Olague:2018:IEEEAccess Evolving Head Tracking Routines With Brain Programming
GustavoOlague.html
DanielEduardoHernandezMorales.html
EddieHelbertClementeTorres.html
MarianaChan-Ley.html
http___dx.doi.org_10.1109_ACCESS.2018.2831633 http://dx.doi.org/10.1109/ACCESS.2018.2831633
Olague:2019:GPTP Hands-on Artificial Evolution through Brain Programming
GustavoOlague.html
MarianaChan-Ley.html
http___dx.doi.org_10.1007_978-3-030-39958-0_12 http://dx.doi.org/10.1007/978-3-030-39958-0_12
Olague:2019:ACC Artificial Visual Cortex and Random Search for Object Categorization
GustavoOlague.html
EClemente.html
DEHernandez.html
AaronBarrera.html
MarianaChan-Ley.html
SBakshi.html
http___dx.doi.org_10.1109_ACCESS.2019.2912792 http://dx.doi.org/10.1109/ACCESS.2019.2912792
Olague:2020:ISVC A Deep Genetic Programming Based Methodology for Art Media Classification Robust to Adversarial Perturbations
GustavoOlague.html
GerardoIbarra-Vazquez.html
MarianaChan-Ley.html
CesarPuente.html
CarlosSoubervielle-Montalvo.html
AxelMartinez.html
http___www.human-competitive.org_sites_default_files_olague-humies2021-final_0.txt http://www.human-competitive.org/sites/default/files/olague-humies2021-final_0.txt
http___www.human-competitive.org_sites_default_files_olague-isvc2020.pdf http://www.human-competitive.org/sites/default/files/olague-isvc2020.pdf
http___dx.doi.org_10.1007_978-3-030-64556-4_6 http://dx.doi.org/10.1007/978-3-030-64556-4_6
Olague:2022:GPTP Modeling Hierarchical Architectures with Genetic Programming and Neuroscience Knowledge for Image Classification Through Inferential Knowledge
GustavoOlague.html
MatthieuOlague.html
GerardoIbarra-Vazquez.html
IsnardoReducindo.html
AaronBarrera.html
AxelMartinez.html
JoseLuisBriseno.html
http___link.springer.com_chapter_10.1007_978-981-19-8460-0_7 http://link.springer.com/chapter/10.1007/978-981-19-8460-0_7
http___dx.doi.org_10.1007_978-981-19-8460-0_7 http://dx.doi.org/10.1007/978-981-19-8460-0_7
olague:2022:AS Automated Design of Salient Object Detection Algorithms with Brain Programming
GustavoOlague.html
JoseArmandoMenendez-Clavijo.html
MatthieuOlague.html
ArturoOcampo.html
GerardoIbarra-Vazquez.html
RocioOchoa.html
RobertoPineda.html
https___www.mdpi.com_2076-3417_12_20_10686 https://www.mdpi.com/2076-3417/12/20/10686
http___dx.doi.org_10.3390_app122010686 http://dx.doi.org/10.3390/app122010686
Olatomiwa:2015:SE A support vector machine-firefly algorithm-based model for global solar radiation prediction
LanreOlatomiwa.html
SaadMekhilef.html
ShahaboddinShamshirband.html
KasraMohammadi.html
DaliborPetkovic.html
SudheerCh.html
http___dx.doi.org_10.1016_j.solener.2015.03.015 http://dx.doi.org/10.1016/j.solener.2015.03.015
http___www.sciencedirect.com_science_article_pii_S0038092X15001334 http://www.sciencedirect.com/science/article/pii/S0038092X15001334
oliazadeh:2022:CIWES Genetic Programming (GP): An Introduction and Practical Application
ArmanOliazadeh.html
OmidBozorgHaddad.html
HamidrezaRahimi.html
SaiyuYuan.html
ChunhuiLu.html
SajjadAhmad.html
http___link.springer.com_chapter_10.1007_978-981-19-2519-1_12 http://link.springer.com/chapter/10.1007/978-981-19-2519-1_12
http___dx.doi.org_10.1007_978-981-19-2519-1_12 http://dx.doi.org/10.1007/978-981-19-2519-1_12
Oliveira:2019:GECCO Footprints of fitness functions in search-based software testing
CarlosOliveira.html
AldeidaAleti.html
Yuan-FangLi.html
MohamedAbdelrazek.html
http___dx.doi.org_10.1145_3321707.3321880 http://dx.doi.org/10.1145/3321707.3321880
https___users.monash.edu.au__yli_assets_pdf_pap722s3-file1.pdf https://users.monash.edu.au/~yli/assets/pdf/pap722s3-file1.pdf
De_Jesus_Guimaraes_Oliveira_thesis Mapping the Effectiveness of Automated Test Suite Generation Techniques
CarlosOliveira.html
https___bridges.monash.edu_articles_thesis_Mapping_the_Effectiveness_of_Automated_Test_Suite_Generation_Techniques_9918029 https://bridges.monash.edu/articles/thesis/Mapping_the_Effectiveness_of_Automated_Test_Suite_Generation_Techniques/9918029
https___bridges.monash.edu_ndownloader_files_17837528 https://bridges.monash.edu/ndownloader/files/17837528
http___dx.doi.org_10.26180_5d9d60fe04121 http://dx.doi.org/10.26180/5d9d60fe04121
oliveira2:2001:gecco Using Heuristics Related to Cellular Automata Behavior Forecast to Improve Genetic Search for a Grouping Task
GinaMairaBarbosadeOliveira.html
PedroPauloBalbideOliveira.html
NizamOmar.html
http___gpbib.cs.ucl.ac.uk_gecco2001_d02.pdf http://gpbib.cs.ucl.ac.uk/gecco2001/d02.pdf
enia2003meta024 Criptrografia Baseada em Automatos Celulares com Sensitividade Bidirecional
GinaMairaBarbosadeOliveira.html
AbilioRibeiroCoelho.html
LuizHAMonteiro.html
http___www.sbc.org.br_sbc2003_programacao.pdf http://www.sbc.org.br/sbc2003/programacao.pdf
Oliveira:2020:ERAD-SP Analise Preliminar de Desempenho de Interpretacao Paralela de Individuos de Programacao Genetica
LucasBicalhoOliveira.html
AlvaroLuizFazenda.html
ViniciusVelosodeMelo.html
https___sol.sbc.org.br_index.php_eradsp_article_view_16879 https://sol.sbc.org.br/index.php/eradsp/article/view/16879
https___sol.sbc.org.br_index.php_eradsp_article_view_16879_16719.pdf https://sol.sbc.org.br/index.php/eradsp/article/view/16879/16719.pdf
http___dx.doi.org_10.5753_eradsp.2020.16879 http://dx.doi.org/10.5753/eradsp.2020.16879
Oliveira:2014:GPTP Sequential Symbolic Regression with Genetic Programming
LuizOtavioVilasBoasOliveira.html
FernandoEstebanBarrilOtero.html
GiseleLPappa.html
JulioAlbinati.html
http___dx.doi.org_10.1007_978-3-319-16030-6_5 http://dx.doi.org/10.1007/978-3-319-16030-6_5
Oliveira:2016:GPTP A Generic Framework for Building Dispersion Operators in the Semantic Space
LuizOtavioVilasBoasOliveira.html
FernandoEstebanBarrilOtero.html
GiseleLPappa.html
http___kar.kent.ac.uk_59297_ http://kar.kent.ac.uk/59297/
http___kar.kent.ac.uk_59297_1_oliveira-gptp2016_preprint.pdf http://kar.kent.ac.uk/59297/1/oliveira-gptp2016_preprint.pdf
https___www.springer.com_us_book_9783319970875 https://www.springer.com/us/book/9783319970875
http___dx.doi.org_10.1007_978-3-319-97088-2_12 http://dx.doi.org/10.1007/978-3-319-97088-2_12
Oliveira:2016:GECCO A Dispersion Operator for Geometric Semantic Genetic Programming
LuizOtavioVilasBoasOliveira.html
FernandoEstebanBarrilOtero.html
GiseleLPappa.html
http___dx.doi.org_10.1145_2908812.2908923 http://dx.doi.org/10.1145/2908812.2908923
Oliveira:2016:PPSN Reducing Dimensionality to Improve Search in Semantic Genetic Programming
LuizOtavioVilasBoasOliveira.html
LuisFernandoMiranda.html
GiseleLPappa.html
FernandoEstebanBarrilOtero.html
RicardoHiroshiCaldeiraTakahashi.html
https___kar.kent.ac.uk_id_eprint_56211 https://kar.kent.ac.uk/id/eprint/56211
https___core.ac.uk_download_pdf_42412374.pdf https://core.ac.uk/download/pdf/42412374.pdf
http___dx.doi.org_10.1007_978-3-319-45823-6_35 http://dx.doi.org/10.1007/978-3-319-45823-6_35
Oliveira:2016:BRACIS Revisiting the Sequential Symbolic Regression Genetic Programming
LuizOtavioVilasBoasOliveira.html
FernandoEstebanBarrilOtero.html
LuisFernandoMiranda.html
GiseleLPappa.html
http___dx.doi.org_10.1109_BRACIS.2016.039 http://dx.doi.org/10.1109/BRACIS.2016.039
Oliveira:2017:EuroGP Strategies for Improving the Distribution of Random Function Outputs in GSGP
LuizOtavioVilasBoasOliveira.html
FelipeCasadei.html
GiseleLPappa.html
http___dx.doi.org_10.1007_978-3-319-55696-3_11 http://dx.doi.org/10.1007/978-3-319-55696-3_11
Oliveira:2016:CEC Evolutionary Rank Aggregation for Recommender Systems
SamuelOliveira.html
VictorDiniz.html
AnisioLacerda.html
GiseleLPappa.html
http___dx.doi.org_10.1109_CEC.2016.7743803 http://dx.doi.org/10.1109/CEC.2016.7743803
Oliveira:2018:CEC Multi-objective Evolutionary Rank Aggregation for Recommender Systems
SamuelOliveira.html
VictorDiniz.html
AnisioLacerda.html
GiseleLPappa.html
http___dx.doi.org_10.1109_CEC.2018.8477669 http://dx.doi.org/10.1109/CEC.2018.8477669
Oliveira:2016:SSBSE Improved crossover operators for genetic programming for program repair
ViniciusPauloLopesdeOliveira.html
EduardoFdeSouza.html
ClaireLeGoues.html
CelsoGCamilo-Junior.html
https___squareslab.github.io_papers-repo_pdfs_legoues-ssbse16.pdf https://squareslab.github.io/papers-repo/pdfs/legoues-ssbse16.pdf
http___dx.doi.org_10.1007_978-3-319-47106-8_8 http://dx.doi.org/10.1007/978-3-319-47106-8_8
oliveira:2018:ESE Improved representation and genetic operators for linear genetic programming for automated program repair
ViniciusPauloLopesdeOliveira.html
EduardoFdeSouza.html
ClaireLeGoues.html
CelsoGCamilo-Junior.html
https___www.researchgate.net_publication_322704893_Improved_representation_and_genetic_operators_for_linear_genetic_programming_for_automated_program_repair https://www.researchgate.net/publication/322704893_Improved_representation_and_genetic_operators_for_linear_genetic_programming_for_automated_program_repair
http___link.springer.com_article_10.1007_s10664-017-9562-9 http://link.springer.com/article/10.1007/s10664-017-9562-9
http___dx.doi.org_10.1007_s10664-017-9562-9 http://dx.doi.org/10.1007/s10664-017-9562-9
OliveiraBrito:2018:ieeeLAT Intelligent Modeling for Streamflow Forecasting
BethaniaOliveiraBrito.html
RicardoMenezesSalgado.html
LuizAlbertoBeijo.html
http___dx.doi.org_10.1109_TLA.2016.7786349 http://dx.doi.org/10.1109/TLA.2016.7786349
oliver-morales:2002:gecco MB GP In Modelling And Prediction
CarlosOliver-Morales.html
KatyaRodriguez-Vazquez.html
http___gpbib.cs.ucl.ac.uk_gecco2002_gp050.ps http://gpbib.cs.ucl.ac.uk/gecco2002/gp050.ps
http___gpbib.cs.ucl.ac.uk_gecco2002_GP050.pdf http://gpbib.cs.ucl.ac.uk/gecco2002/GP050.pdf
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_gecco2002_gecco-2002-15.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/gecco2002/gecco-2002-15.pdf
de-franca:2023:GECCO Reducing Overparameterization of Symbolic Regression Models with Equality Saturation
FabricioOlivettideFranca.html
GabrielKronberger.html
https___pure.fh-ooe.at_en_publications_reducing-overparameterization-of-symbolic-regression-models-with- https://pure.fh-ooe.at/en/publications/reducing-overparameterization-of-symbolic-regression-models-with-
https___dl.acm.org_doi_abs_10.1145_3583131.3590346 https://dl.acm.org/doi/abs/10.1145/3583131.3590346
http___dx.doi.org_10.1145_3583131.3590346 http://dx.doi.org/10.1145/3583131.3590346
de-franca:2023:GECCOcomp Fighting Underspecification in Symbolic Regression with Fitness Sharing
FabricioOlivettideFranca.html
http___dx.doi.org_10.1145_3583133.3590525 http://dx.doi.org/10.1145/3583133.3590525
olmer:1996:ertbm Evolving Real-time Behavior Modules for a real Robot with GP
MarkusOlmer.html
PeterNordin.html
WolfgangBanzhaf.html
http___www.cs.mun.ca__banzhaf_papers_isram96.pdf http://www.cs.mun.ca/~banzhaf/papers/isram96.pdf
Olmo:2010:cec A grammar based Ant Programming algorithm for mining classification rules
JuanLuisOlmo.html
JoseRaulRomeroSalguero.html
SebastianVentura.html
http___dx.doi.org_10.1109_CEC.2010.5586492 http://dx.doi.org/10.1109/CEC.2010.5586492
Olmo:2010:paams An Automatic Programming ACO-Based Algorithm for Classification Rule Mining
JuanLuisOlmo.html
JoseMariaLuna.html
JoseRaulRomeroSalguero.html
SebastianVentura.html
http___dx.doi.org_10.1007_978-3-642-12433-4_76 http://dx.doi.org/10.1007/978-3-642-12433-4_76
Olmo:2011:ISDA Association rule mining using a multi-objective grammar-based ant programming algorithm
JuanLuisOlmo.html
JoseMariaLuna.html
JoseRaulRomeroSalguero.html
SebastianVentura.html
http___dx.doi.org_10.1109_ISDA.2011.6121784 http://dx.doi.org/10.1109/ISDA.2011.6121784
Olmo:2011:smc Using Ant Programming Guided by Grammar for Building Rule-Based Classifiers
JuanLuisOlmo.html
JoseRaulRomeroSalguero.html
SebastianVentura.html
http___dx.doi.org_10.1109_TSMCB.2011.2157681 http://dx.doi.org/10.1109/TSMCB.2011.2157681
olmo:2012:EuroGP Multi-objective Ant Programming for Mining Classification Rules
JuanLuisOlmo.html
JoseRaulRomeroSalguero.html
SebastianVentura.html
http___dx.doi.org_10.1007_978-3-642-29139-5_13 http://dx.doi.org/10.1007/978-3-642-29139-5_13
Olmo:2012:isda Binary and multiclass imbalanced classification using multi-objective ant programming
JuanLuisOlmo.html
AlbertoCanoRojas.html
JoseRaulRomeroSalguero.html
SebastianVentura.html
http___dx.doi.org_10.1109_ISDA.2012.6416515 http://dx.doi.org/10.1109/ISDA.2012.6416515
Olmo:2012:SC Classification rule mining using ant programming guided by grammar with multiple Pareto fronts
JuanLuisOlmo.html
JoseRaulRomeroSalguero.html
SebastianVentura.html
http___dx.doi.org_10.1007_s00500-012-0883-8 http://dx.doi.org/10.1007/s00500-012-0883-8
Olmo-Ortiz:thesis Ant Programming for Classification Rule Mining. Applications
JuanLuisOlmo.html
http___www.uco.es_grupos_kdis_index.php_option_com_jresearch_view_thesis_task_show_id_5_Itemid_51_lang_en http://www.uco.es/grupos/kdis/index.php?option=com_jresearch&view=thesis&task=show&id=5&Itemid=51&lang=en
http___www.jlolmo.com_docs_Thesis_20Juan_20Luis_20Olmo.pdf http://www.jlolmo.com/docs/Thesis%20Juan%20Luis%20Olmo.pdf
Olmo:2013:ICAE Mining association rules with single and multi-objective grammar guided ant programming
JuanLuisOlmo.html
JoseMariaLuna.html
JoseRaulRomeroSalguero.html
SebastianVentura.html
http___dx.doi.org_10.3233_ICA-130430 http://dx.doi.org/10.3233/ICA-130430
Olmo:2013:nabic On the Use of Ant Programming for Mining Rare Association Rules
JuanLuisOlmo.html
JoseRaulRomeroSalguero.html
SebastianVentura.html
http___www.mirlabs.net_nabic13_proceedings_html_paper52.xml http://www.mirlabs.net/nabic13/proceedings/html/paper52.xml
http___dx.doi.org_10.1109_NaBIC.2013.6617866 http://dx.doi.org/10.1109/NaBIC.2013.6617866
WIDM:WIDM1138 Swarm-based metaheuristics in automatic programming: a survey
JuanLuisOlmo.html
JoseRaulRomeroSalguero.html
SebastianVentura.html
http___dx.doi.org_10.1002_widm.1138 http://dx.doi.org/10.1002/widm.1138
http___dx.doi.org_10.1002_widm.1138 http://dx.doi.org/10.1002/widm.1138
2014-IS-Olmo Single and multi-objective ant programming for mining interesting rare association rules
JuanLuisOlmo.html
JoseRaulRomeroSalguero.html
SebastianVentura.html
http___dx.doi.org_10.3233_HIS-140195 http://dx.doi.org/10.3233/HIS-140195
Olmscheid:2021:GECCOcomp Improving Estimation of Distribution Genetic Programming with Novelty Initialization
ChristianOlmscheid.html
DavidWittenberg.html
DominikSobania.html
FranzRothlauf.html
http___dx.doi.org_10.1145_3449726.3459410 http://dx.doi.org/10.1145/3449726.3459410
Olson:thesis Evolutionary algorithms, chaotic excitations, and structural health monitoring: On global search methods for improved damage detection via tailored inputs
ColinCOlson.html
http___search.proquest.com_docview_304659192 http://search.proquest.com/docview/304659192
Olson2016EvoBio Automating Biomedical Data Science Through Tree-Based Pipeline Optimization
RandalSOlson.html
RyanJUrbanowicz.html
PeterCAndrews.html
NicoleALavender.html
LaCreisReneeKidd.html
JasonHMoore.html
http___dx.doi.org_10.1007_978-3-319-31204-0_9 http://dx.doi.org/10.1007/978-3-319-31204-0_9
https___github.com_EpistasisLab_tpot https://github.com/EpistasisLab/tpot
Olson:2016:autoML TPOT: A Tree-based Pipeline Optimization Tool for Automating Data Science
RandalSOlson.html
JasonHMoore.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_Olson_2016_autoML.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/Olson_2016_autoML.pdf
https___github.com_EpistasisLab_tpot https://github.com/EpistasisLab/tpot
Olson2016GPTP Identifying and Harnessing the Building Blocks of Machine Learning Pipelines for Sensible Initialization of a Data Science Automation Tool
RandalSOlson.html
JasonHMoore.html
http___arxiv.org_abs_1607.08878 http://arxiv.org/abs/1607.08878
https___www.springer.com_us_book_9783319970875 https://www.springer.com/us/book/9783319970875
http___dx.doi.org_10.1007_978-3-319-97088-2_14 http://dx.doi.org/10.1007/978-3-319-97088-2_14
Olson:2016:GECCO Evaluation of a Tree-based Pipeline Optimization Tool for Automating Data Science
RandalSOlson.html
NathanBartley.html
RyanJUrbanowicz.html
JasonHMoore.html
http___dx.doi.org_10.1145_2908812.2908918 http://dx.doi.org/10.1145/2908812.2908918
https___github.com_EpistasisLab_tpot https://github.com/EpistasisLab/tpot
Olson:2017:GPTP A System for Accessible Artificial Intelligence
RandalSOlson.html
MosheSipper.html
WilliamLaCava.html
SharonTartarone.html
StevenVitale.html
WeixuanFu.html
PatrykOrzechowski.html
RyanJUrbanowicz.html
JohnHHolmes.html
JasonHMoore.html
https___arxiv.org_abs_1705.00594 https://arxiv.org/abs/1705.00594
https___link.springer.com_chapter_10.1007_978-3-319-90512-9_8 https://link.springer.com/chapter/10.1007/978-3-319-90512-9_8
http___dx.doi.org_10.1007_978-3-319-90512-9_8 http://dx.doi.org/10.1007/978-3-319-90512-9_8
Olson:2019:autoML TPOT: A Tree-Based Pipeline Optimization Tool for Automating Machine Learning
RandalSOlson.html
JasonHMoore.html
https___www.automl.org_wp-content_uploads_2018_12_tpot.pdf https://www.automl.org/wp-content/uploads/2018/12/tpot.pdf
http___dx.doi.org_10.1007_978-3-030-05318-5_8 http://dx.doi.org/10.1007/978-3-030-05318-5_8
https___www.youtube.com_watch_v_25lQ-JbN6Mw https://www.youtube.com/watch?v=25lQ-JbN6Mw
https___github.com_EpistasisLab_tpot https://github.com/EpistasisLab/tpot
https___github.com_EpistasisLab_penn-ml-benchmarks https://github.com/EpistasisLab/penn-ml-benchmarks
olsson:1999:SEEMGP Strategy Evolution for Electronic Markets using Genetic Programming
LarsOlsson.html
olsson:1994:thesis Inductive functional programming using incremental program transformation and Execution of logic programs by iterative-deepening A* SLD-tree search
JRolandOlsson.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_01-report.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/01-report.pdf
https___www.uniforum.uio.no_nyheter_1995_uniforum10-95_doktorgrader.html https://www.uniforum.uio.no/nyheter/1995/uniforum10-95/doktorgrader.html
olsson:1995:AI Inductive functional programming using incremental program transformation
JRolandOlsson.html
http___www.ia-stud.hiof.no__rolando_art_int_paper_74.ps http://www.ia-stud.hiof.no/~rolando/art_int_paper_74.ps
http___dx.doi.org_10.1016_0004-3702_94_00042-Y http://dx.doi.org/10.1016/0004-3702(94)00042-Y
olsson:1998:pmadate Population Management for Automatic Design of Algorithms through Evolution
JRolandOlsson.html
http___www.ia-stud.hiof.no__rolando_popart3.ps http://www.ia-stud.hiof.no/~rolando/popart3.ps
http___dx.doi.org_10.1109_ICEC.1998.700095 http://dx.doi.org/10.1109/ICEC.1998.700095
olsson:1998:awsADATE The Art of Writing Specifications for the ADATE Automatic Programming System
JRolandOlsson.html
http___www.ia-stud.hiof.no__rolando_specart5.ps http://www.ia-stud.hiof.no/~rolando/specart5.ps
olsson:1999:htif How to Invent Functions
JRolandOlsson.html
http___www.ia-stud.hiof.no__rolando_abstrart1.ps http://www.ia-stud.hiof.no/~rolando/abstrart1.ps
http___dx.doi.org_10.1007_3-540-48885-5_20 http://dx.doi.org/10.1007/3-540-48885-5_20
olsson:2002:sigp Self Improving Genetic Programming
JRolandOlsson.html
http___www.wseas.us_e-library_conferences_switzerland2002_papers_440.pdf http://www.wseas.us/e-library/conferences/switzerland2002/papers/440.pdf
olson:2002:gecco Self-improvement For The ADATE Automatic Programming System
JRolandOlsson.html
BrockWilcox.html
http___gpbib.cs.ucl.ac.uk_gecco2002_GP065.ps http://gpbib.cs.ucl.ac.uk/gecco2002/GP065.ps
http___gpbib.cs.ucl.ac.uk_gecco2002_GP065.pdf http://gpbib.cs.ucl.ac.uk/gecco2002/GP065.pdf
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_gecco2002_gecco-2002-15.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/gecco2002/gecco-2002-15.pdf
Olszewska:GPEM Arthur I. Miller: The artist in the machine: the world of AI-powered creativity
AnnaOlszewska.html
https___rdcu.be_b4Gjj https://rdcu.be/b4Gjj
http___dx.doi.org_10.1007_s10710-020-09392-3 http://dx.doi.org/10.1007/s10710-020-09392-3
oltean:2002:MEP Multi Expression Programming
MihaiOltean.html
DumitruDumitrescu.html
http___www.mep.cs.ubbcluj.ro_oltean_pdf.pdf http://www.mep.cs.ubbcluj.ro/oltean_pdf.pdf
Oltean:2003:JCIS Evolving Evolutionary Algorithms for Function Optimization
MihaiOltean.html
http___www.cs.ubbcluj.ro__moltean_oltean_fea2003_1.pdf http://www.cs.ubbcluj.ro/~moltean/oltean_fea2003_1.pdf
http___citeseer.ist.psu.edu_640208.html http://citeseer.ist.psu.edu/640208.html
Oltean:2003:JCIS2 Solving Even-Parity Problems using Multi Expression Programming
MihaiOltean.html
http___www.mep.cs.ubbcluj.ro_oltean_fea2003_2.pdf http://www.mep.cs.ubbcluj.ro/oltean_fea2003_2.pdf
oltean:2003:ECAL Evolving Evolutionary Algorithms Using Multi Expression Programming
MihaiOltean.html
CrinaGrosan.html
http___www.mep.cs.ubbcluj.ro_oltean_ecal2003.pdf http://www.mep.cs.ubbcluj.ro/oltean_ecal2003.pdf
http___dx.doi.org_10.1007_b12035 http://dx.doi.org/10.1007/b12035
oltean:2003:AIDA Solving Classification Problems Using Infix Form Genetic Programming
MihaiOltean.html
CrinaGrosan.html
http___link.springer.com_chapter_10.1007_978-3-540-45231-7_23 http://link.springer.com/chapter/10.1007/978-3-540-45231-7_23
https___rdcu.be_cT7kp https://rdcu.be/cT7kp
http___dx.doi.org_10.1007_978-3-540-45231-7_23 http://dx.doi.org/10.1007/978-3-540-45231-7_23
oltean_bioadit_springer2004 Searching for a Practical Evidence for the No Free Lunch Theorems
MihaiOltean.html
http___www.cs.ubbcluj.ro__moltean_oltean_bioadit_springer2004.pdf http://www.cs.ubbcluj.ro/~moltean/oltean_bioadit_springer2004.pdf
http___dx.doi.org_10.1007_b101281 http://dx.doi.org/10.1007/b101281
oltean:2004:ICCS_TSP Evolving TSP Heuristics Using Multi Expression Programming
MihaiOltean.html
DumitruDumitrescu.html
http___dx.doi.org_10.1007_b97988 http://dx.doi.org/10.1007/b97988
oltean:2004:ICCS Evolving Digital Circuits for the Knapsack Problem
MihaiOltean.html
CrinaGrosan.html
MihaelaOltean.html
http___www.mep.cs.ubbcluj.ro_oltean_862.pdf http://www.mep.cs.ubbcluj.ro/oltean_862.pdf
http___dx.doi.org_10.1007_b97989 http://dx.doi.org/10.1007/b97989
oltean:2004:ICCS2 Encoding Multiple Solutions in a Linear Genetic Programming Chromosome
MihaiOltean.html
CrinaGrosan.html
MihaelaOltean.html
http___www.cs.ubbcluj.ro__moltean_oltean_860.pdf http://www.cs.ubbcluj.ro/~moltean/oltean_860.pdf
http___dx.doi.org_10.1007_b97989 http://dx.doi.org/10.1007/b97989
oltean:2004:CS A Comparison of Several Linear Genetic Programming Techniques
MihaiOltean.html
CrinaGrosan.html
http___www.cs.ubbcluj.ro__cgrosan_030409_edited.pdf http://www.cs.ubbcluj.ro/~cgrosan/030409_edited.pdf
http___www.complex-systems.com_pdf_14-4-1.pdf http://www.complex-systems.com/pdf/14-4-1.pdf
http___www.complex-systems.com_abstracts_v14_i04_a01.html http://www.complex-systems.com/abstracts/v14_i04_a01.html
http___dx.doi.org_10.25088_ComplexSystems.14.4.285 http://dx.doi.org/10.25088/ComplexSystems.14.4.285
oltean:2004:seputgp Solving Even-Parity Problems using Traceless Genetic Programming
MihaiOltean.html
http___www.tgp.cs.ubbcluj.ro_oltean_tgp.pdf http://www.tgp.cs.ubbcluj.ro/oltean_tgp.pdf
http___dx.doi.org_10.1109_CEC.2004.1331116 http://dx.doi.org/10.1109/CEC.2004.1331116
oltean:2004:EH Evolving Digital Circuits using Multi Expression Programming
MihaiOltean.html
CrinaGrosan.html
http___www.cs.ubbcluj.ro__moltean_oltean_eh04.pdf http://www.cs.ubbcluj.ro/~moltean/oltean_eh04.pdf
http___dx.doi.org_10.1109_EH.2004.1310814 http://dx.doi.org/10.1109/EH.2004.1310814
Oltean:2004:EMTP Improving Multi Expression Programming: An Ascending Trail from Sea-Level Even-3-Parity Problem to Alpine Even-18-Parity Problem
MihaiOltean.html
http___www.springeronline.com_sgw_cda_frontpage_0_11855_5-175-22-33980449-0_00.html http://www.springeronline.com/sgw/cda/frontpage/0,11855,5-175-22-33980449-0,00.html
oltean:evows05 Evolving reversible circuits for the even-parity problem
MihaiOltean.html
http___dx.doi.org_10.1007_b106856 http://dx.doi.org/10.1007/b106856
oltean:2005:EC Evolving Evolutionary Algorithms Using Linear Genetic Programming
MihaiOltean.html
http___dx.doi.org_10.1162_1063656054794815 http://dx.doi.org/10.1162/1063656054794815
oltean_multi Improving the Search by Encoding Multiple Solutions in a Chromosome
MihaiOltean.html
http___www.cs.ubbcluj.ro__moltean_oltean_multi.pdf http://www.cs.ubbcluj.ro/~moltean/oltean_multi.pdf
Oltean:2006:SAC A-Brain: The multiple problems solver
MihaiOltean.html
http___dx.doi.org_10.1145_1141277.1141502 http://dx.doi.org/10.1145/1141277.1141502
Oltean:2007:SC Evolving Evolutionary Algorithms with Patterns
MihaiOltean.html
http___dx.doi.org_10.1007_s00500-006-0079-1 http://dx.doi.org/10.1007/s00500-006-0079-1
DBLP:conf/icannga/2007-1 Liquid State Genetic Programming
MihaiOltean.html
http___dx.doi.org_10.1007_978-3-540-71618-1_25 http://dx.doi.org/10.1007/978-3-540-71618-1_25
oltean:2007:JETAI Using traceless genetic programming for solving multi-objective optimization problems
MihaiOltean.html
CrinaGrosan.html
http___www.cs.ubbcluj.ro__moltean_tgp_moea.pdf http://www.cs.ubbcluj.ro/~moltean/tgp_moea.pdf
http___dx.doi.org_10.1080_09528130601138273 http://dx.doi.org/10.1080/09528130601138273
journals/ijait/OlteanGDM09 Genetic Programming with Linear Representation: a Survey
MihaiOltean.html
CrinaGrosan.html
LauraDiosan.html
CristinaMihaila.html
http___dx.doi.org_10.1142_S0218213009000111 http://dx.doi.org/10.1142/S0218213009000111
Oltean200949 An autonomous GP-based system for regression and classification problems
MihaiOltean.html
LauraDiosan.html
http___dx.doi.org_10.1016_j.asoc.2008.03.008 http://dx.doi.org/10.1016/j.asoc.2008.03.008
http___www.sciencedirect.com_science_article_B6W86-4S3G3T0-3_2_9767b2e81a4c552fc9149c3ea1274e5d http://www.sciencedirect.com/science/article/B6W86-4S3G3T0-3/2/9767b2e81a4c552fc9149c3ea1274e5d
journals/corr/abs-2110-00367 Multi Expression Programming - an in-depth description
MihaiOltean.html
https___arxiv.org_abs_2110.00367 https://arxiv.org/abs/2110.00367
http___dx.doi.org_10.21203_rs.3.rs-898407_v1 http://dx.doi.org/10.21203/rs.3.rs-898407/v1
DBLP:journals/corr/abs-2111-14790 Solving classification problems using Traceless Genetic Programming
MihaiOltean.html
https___arxiv.org_abs_2111.14790 https://arxiv.org/abs/2111.14790
https___dblp.org_rec_journals_corr_abs-2111-14790.bib https://dblp.org/rec/journals/corr/abs-2111-14790.bib
OlteanuPaCa10 Modeling Gilliland Correlation using Genetic Programming
MariusOlteanu.html
NicolaeParaschiv.html
OtiliaCangea.html
http___univagora.ro_jour_index.php_ijccc_article_view_2244 http://univagora.ro/jour/index.php/ijccc/article/view/2244
http___www.journal.univagora.ro_download_pdf_469.pdf http://www.journal.univagora.ro/download/pdf/469.pdf
olvera-gonzalez:2021:AS Modeling Energy LED Light Consumption Based on an Artificial Intelligent Method Applied to Closed Plant Production System
ErnestoOlvera-Gonzalez.html
MartinMontesRivera.html
NiviaEscalante-Garcia.html
EduardoFlores-Gallegos.html
https___www.mdpi.com_2076-3417_11_6_2735 https://www.mdpi.com/2076-3417/11/6/2735
http___dx.doi.org_10.3390_app11062735 http://dx.doi.org/10.3390/app11062735
Olyaie:2016:GF A comparative analysis among computational intelligence techniques for dissolved oxygen prediction in Delaware River
EhsanOlyaie.html
HamidZareAbyaneh.html
AliDanandehMehr.html
http___dx.doi.org_10.1016_j.gsf.2016.04.007 http://dx.doi.org/10.1016/j.gsf.2016.04.007
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ONeill:2009:GPEM Riccardo Poli, William B. Langdon, Nicholas F. McPhee: A Field Guide to Genetic Programming Lulu.com, 2008, 250 pp, ISBN 978-1-4092-0073-4
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moneill:mendel2010 Recent Adventures in Grammar-based Genetic Programming
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ONeill:2010:GPEM Open issues in genetic programming
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UCD-CSI-2012-02 An Analysis of Natural Computing Publication Venues
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ONeill:2012:TinyTOCSGSMhCwIF Google Scholar Metrics h5-index correlated with Impact Factor
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O'Neill:2014:CEC Experiments in Program Synthesis with Grammatical Evolution: A Focus on Integer Sorting
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ONeill:2016:GPEM Semantic methods in genetic programming
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ONeill:2016:CEC An Exploration of Grammatical Encodings to model Six Nations Rugby Match Outcomes
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O'Neill:2017:GPEM Distilling the salient features of natural systems: Commentary on ``On the mapping of genotype to phenotype in evolutionary algorithms'' by Whigham, Dick and Maclaurin
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oneill:2018:GPTP The Elephant in the Room: Towards the Application of Genetic Programming to Automatic Programming
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ONeill:2019:CEC Mutational Robustness and Structural Complexity in Grammatical Evolution
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LeeSpector.html
http___dx.doi.org_10.1007_s10710-019-09364-2 http://dx.doi.org/10.1007/s10710-019-09364-2
ONeill:2021:CEC An Exploration of Asocial and Social Learning in the Evolution of Variable-length Structures
MichaelO'Neill.html
AnthonyBrabazon.html
http___dx.doi.org_10.1109_CEC45853.2021.9504900 http://dx.doi.org/10.1109/CEC45853.2021.9504900
Ong:2005:ESA Building credit scoring models using genetic programming
Chorng-ShyongOng.html
Jih-JengHuang.html
Gwo-HshiungTzeng.html
http___www.sciencedirect.com_science_article_B6V03-4F91Y8H-1_2_5116a9e3777103e0a563afc38e92e23a http://www.sciencedirect.com/science/article/B6V03-4F91Y8H-1/2/5116a9e3777103e0a563afc38e92e23a
http___dx.doi.org_10.1016_j.eswa.2005.01.003 http://dx.doi.org/10.1016/j.eswa.2005.01.003
Ono:2012:SMC Depth-dependent crossover in genetic programming with frequent trees
KeikoOno.html
YoshikoHanada.html
KatsushiShirakawa.html
MasahitoKumano.html
MasahiroKimura.html
http___dx.doi.org_10.1109_ICSMC.2012.6377727 http://dx.doi.org/10.1109/ICSMC.2012.6377727
Ono:2013:CEC Island Model Genetic Programming Based on Frequent Trees
KeikoOno.html
YoshikoHanada.html
MasahitoKumano.html
MasahiroKimura.html
http___dx.doi.org_10.1109_CEC.2013.6557933 http://dx.doi.org/10.1109/CEC.2013.6557933
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KeikoOno.html
YoshikoHanada.html
http___ieeexplore.ieee.org_xpl_mostRecentIssue.jsp_punumber_7058891 http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=7058891
http___dx.doi.org_10.1109_ISDA.2014.7066279 http://dx.doi.org/10.1109/ISDA.2014.7066279
Ono:2015:CEC A CUDA-based Self-adaptive Subpopulation Model in Genetic Programming: cuSASGP
KeikoOno.html
YoshikoHanada.html
http___dx.doi.org_10.1109_CEC.2015.7257071 http://dx.doi.org/10.1109/CEC.2015.7257071
Ono:2016:CEC Distributed Light Brightness Control based on cuSASGP
KeikoOno.html
YoshikoHanada.html
http___dx.doi.org_10.1109_CEC.2016.7743878 http://dx.doi.org/10.1109/CEC.2016.7743878
ono:2017:CEC Landscape Estimation of Decision-tree Induction based on Grammatical Evolution using Rank Correlation
KeikoOno.html
Jun-ichiKushida.html
http___dx.doi.org_10.1109_CEC.2017.7969389 http://dx.doi.org/10.1109/CEC.2017.7969389
Ono:2018:GECCOcomp Accelerating genetic programming using pycuda
KeikoOno.html
YoshikoHanada.html
http___dx.doi.org_10.1145_3205651.3208760 http://dx.doi.org/10.1145/3205651.3208760
Ono:2019:JAISCR Enhancing Island Model Genetic Programming by Controlling Frequent Trees
KeikoOno.html
YoshikoHanada.html
MasahitoKumano.html
MasahiroKimura.html
https___content.sciendo.com_downloadpdf_journals_jaiscr_9_1_article-p51.xml https://content.sciendo.com/downloadpdf/journals/jaiscr/9/1/article-p51.xml
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KeikoOno.html
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http___dx.doi.org_10.20965_jaciii.2021.p0177 http://dx.doi.org/10.20965/jaciii.2021.p0177
ONYELOWE:2021:CM Predictive models of volumetric stability (durability) and erodibility of lateritic soil treated with different nanotextured bio-ashes with application of loss of strength on immersion; GP, ANN and EPR performance study
KennedyCOnyelowe.html
AhmedMEbid.html
LightIhennaNwobia.html
http___dx.doi.org_10.1016_j.clema.2021.100006 http://dx.doi.org/10.1016/j.clema.2021.100006
https___www.sciencedirect.com_science_article_pii_S277239762100006X https://www.sciencedirect.com/science/article/pii/S277239762100006X
journals/acisc/OnyeloweJOOA21 Application of Gene Expression Programming to Evaluate Strength Characteristics of Hydrated-Lime-Activated Rice Husk Ash-Treated Expansive Soil
KennedyCOnyelowe.html
FazalEJalal.html
MichaelEOnyia.html
IfeanyichukwuCOnuoha.html
GeorgeUAlaneme.html
https___downloads.hindawi.com_journals_acisc_2021_6686347.pdf https://downloads.hindawi.com/journals/acisc/2021/6686347.pdf
http___dx.doi.org_10.1155_2021_6686347 http://dx.doi.org/10.1155/2021/6686347
onyelowe:2021:NTEE Prediction and performance analysis of compression index of multiple-binder-treated soil by genetic programming approach
KennedyCOnyelowe.html
AhmedMEbid.html
LightIhennaNwobia.html
LamDao-Phuc.html
http___link.springer.com_article_10.1007_s41204-021-00123-2 http://link.springer.com/article/10.1007/s41204-021-00123-2
http___dx.doi.org_10.1007_s41204-021-00123-2 http://dx.doi.org/10.1007/s41204-021-00123-2
onyelowe:2022:Sustainability Erodibility of Nanocomposite-Improved Unsaturated Soil Using Genetic Programming, Artificial Neural Networks, and Evolutionary Polynomial Regression Techniques
KennedyCOnyelowe.html
AhmedMEbid.html
UchennaEgwu.html
MichaelEOnyia.html
HyginusNOnah.html
LightIhennaNwobia.html
IzuchukwuOnwughara.html
AliAkbarFiroozi.html
https___www.mdpi.com_2071-1050_14_12_7403 https://www.mdpi.com/2071-1050/14/12/7403
http___dx.doi.org_10.3390_su14127403 http://dx.doi.org/10.3390/su14127403
onyelowe:2022:Designs Evaluation of the Compressive Strength of CFRP-Wrapped Circular Concrete Columns Using Artificial Intelligence Techniques
KennedyCOnyelowe.html
JaganJayabalan.html
AhmedMEbid.html
PijushSamui.html
RahulPratapSingh.html
AtefehSoleymani.html
HashemJahangir.html
https___www.mdpi.com_2411-9660_6_6_112 https://www.mdpi.com/2411-9660/6/6/112
http___dx.doi.org_10.3390_designs6060112 http://dx.doi.org/10.3390/designs6060112
openshaw:1994:bnsim Building New Spatial Interaction Models Using Genetic Programming
StanleyOpenshaw.html
IanTurton.html
http___www.geog.leeds.ac.uk_papers_94-1_94-1.pdf http://www.geog.leeds.ac.uk/papers/94-1/94-1.pdf
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.140.6775 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.140.6775
https___link.springer.com_content_pdf_bfm_3A978-3-540-48999-3_2F1.pdf https://link.springer.com/content/pdf/bfm%3A978-3-540-48999-3%2F1.pdf
http___dx.doi.org_10.1007_3-540-58483-8 http://dx.doi.org/10.1007/3-540-58483-8
openshaw:1995:S Developing Automated and Smart Spatial Pattern Exploration Tools for Geographical Information Systems Applications
StanleyOpenshaw.html
http___links.jstor.org_sici_sici_0039-0526_281995_2944_3A1_3C3_3ADAASSP_3E2.0.CO_3B2-3 http://links.jstor.org/sici?sici=0039-0526%281995%2944%3A1%3C3%3ADAASSP%3E2.0.CO%3B2-3
Openshaw:1997:AIg Artificial Intelligence in Geography
StanleyOpenshaw.html
ChristineOpenshaw.html
http___eu.wiley.com_WileyCDA_WileyTitle_productCd-0471969915.html http://eu.wiley.com/WileyCDA/WileyTitle/productCd-0471969915.html
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ZuzanaOplatkova.html
IvanZelinka.html
http___gpbib.cs.ucl.ac.uk_gecco2006_docs_p949.pdf http://gpbib.cs.ucl.ac.uk/gecco2006/docs/p949.pdf
http___dx.doi.org_10.1145_1143997.1144164 http://dx.doi.org/10.1145/1143997.1144164
Oplatkova:2009:MSE Investigation on Evolutionary Synthesis of Movement Commands
ZuzanaOplatkova.html
IvanZelinka.html
http___downloads.hindawi.com_journals_mse_2009_845080.pdf http://downloads.hindawi.com/journals/mse/2009/845080.pdf
http___dx.doi.org_10.1155_2009_845080 http://dx.doi.org/10.1155/2009/845080
Oplatkova:2018:IWSSIP Differential Evolution and Analytic Programming in the case of Trigonometric Identities Discovery
ZuzanaOplatkova.html
RomanSenkerik.html
AdamViktorin.html
http___dx.doi.org_10.1109_IWSSIP.2018.8439705 http://dx.doi.org/10.1109/IWSSIP.2018.8439705
oppacher:1997:GAGP A Canonical Genetic Algorithm Based Approach to Genetic Programming
FranzOppacher.html
MarkWineberg.html
http___dx.doi.org_10.1007_978-3-7091-6492-1_88 http://dx.doi.org/10.1007/978-3-7091-6492-1_88
Oppacher:2009:ACIS-SNPD Creating Objects Using Genetic Programming Techniques
YanduOppacher.html
FranzOppacher.html
DwightDeugo.html
http___dx.doi.org_10.1109_SNPD.2009.82 http://dx.doi.org/10.1109/SNPD.2009.82
DBLP:conf/gecco/OppacherOD09 Evolving java objects using a grammar-based approach
YanduOppacher.html
FranzOppacher.html
DwightDeugo.html
http___dx.doi.org_10.1145_1569901.1570220 http://dx.doi.org/10.1145/1569901.1570220
ppsn92:oReilly An Experimental Perspective on Genetic Programming
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OReilly:1992:tabbGP The Troubling Aspects of a Building Block Hypothesis for Genetic Programming
Una-MayO'Reilly.html
FranzOppacher.html
http___www.santafe.edu_media_workingpapers_94-02-001.pdf http://www.santafe.edu/media/workingpapers/94-02-001.pdf
OReilly:1992:ubbf Using Building Block Functions to Investigate a Building Block Hypothesis for Genetic Programming
Una-MayO'Reilly.html
FranzOppacher.html
https___www.santafe.edu_research_results_working-papers_using-building-block-functions-to-investigate-a-bu https://www.santafe.edu/research/results/working-papers/using-building-block-functions-to-investigate-a-bu
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OReilly:1995:tabbGP The Troubling Aspects of a Building Block Hypothesis for Genetic Programming
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OReilly:1995:hybrid Hybridized Crossover-Based Search Techniques for Program Discovery
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oreilly:1996:igADF Investigating the Generality of Automatically Defined Functions
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oreilly:1997:dnGPugo2 Using a Distance Metric on Genetic Programs to Understand Genetic Operators
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oreilly:1998:edGPp The Impact of External Dependency in Genetic Programming Primitives
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oreilly:1998:piefdsDRAFT Evolution as a design strategy for non-linear architecture: Generative modeling of 3D surfaces
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oreilly:1998:piefds A Preliminary Investigation of Evolution as a Form Design Strategy
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oreilly:1998:fssaGP How Fitness Structure Affects Subsolution Acquisition in Genetic Programming
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oreilly:1999:fogpepslm Foundations of Genetic Programming: Effective Population Size, Linking and Mixing
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o'reilly:2001:aagpd Agency-GP: Agent-Based Genetic Programming for Design
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oreilly:2004:GPTP2 Genetic Programming Theory and Practice II
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http___dx.doi.org_10.1007_978-1-4614-6846-2_6 http://dx.doi.org/10.1007/978-1-4614-6846-2_6
http___dx.doi.org_10.1007_978-1-4614-6846-2_6 http://dx.doi.org/10.1007/978-1-4614-6846-2_6
OReilly:2012:GECCOcomp Genetic programming: a tutorial introduction
Una-MayO'Reilly.html
http___dx.doi.org_10.1145_2330784.2330912 http://dx.doi.org/10.1145/2330784.2330912
OReilly:2013:GECCOcomp Genetic programming: a tutorial introduction
Una-MayO'Reilly.html
http___dx.doi.org_10.1145_2464576.2480797 http://dx.doi.org/10.1145/2464576.2480797
OReilly:2014:GECCOcomp Genetic programming: a tutorial introduction
Una-MayO'Reilly.html
http___doi.acm.org_10.1145_2598394.2605336 http://doi.acm.org/10.1145/2598394.2605336
http___dx.doi.org_10.1145_2598394.2605336 http://dx.doi.org/10.1145/2598394.2605336
OReilly:2015:GECCOcomp Genetic Programming: A Tutorial Introduction
Una-MayO'Reilly.html
http___doi.acm.org_10.1145_2739482.2756592 http://doi.acm.org/10.1145/2739482.2756592
http___dx.doi.org_10.1145_2739482.2756592 http://dx.doi.org/10.1145/2739482.2756592
OReilly:2016:GECCOcomp Genetic Programming: A Tutorial Introduction
Una-MayO'Reilly.html
http___dx.doi.org_10.1145_2908961.2926984 http://dx.doi.org/10.1145/2908961.2926984
DBLP:conf/ic3k/OReilly16 STEALTH: Modeling Coevolutionary Dynamics of Tax Evasion and Auditing
Una-MayO'Reilly.html
https___dblp.org_rec_bib_conf_ic3k_OReilly16 https://dblp.org/rec/bib/conf/ic3k/OReilly16
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http___player.vimeo.com_video_199015535_title_0_portrait_0 http://player.vimeo.com/video/199015535?title=0&portrait=0
OReilly:2017:GECCO Genetic Programming: A Tutorial Introduction
Una-MayO'Reilly.html
http___doi.acm.org_10.1145_3067695.3067709 http://doi.acm.org/10.1145/3067695.3067709
http___dx.doi.org_10.1145_3067695.3067709 http://dx.doi.org/10.1145/3067695.3067709
OReilly:2018:GECCOcomp Genetic programming: a tutorial introduction
Una-MayO'Reilly.html
http___dx.doi.org_10.1145_3205651.3207870 http://dx.doi.org/10.1145/3205651.3207870
OReilly:2019:GECCOcomp Introduction to genetic programming
Una-MayO'Reilly.html
ErikHemberg.html
http___dx.doi.org_10.1145_3319619.3323398 http://dx.doi.org/10.1145/3319619.3323398
OReilly:GPEM20 Adversarial Genetic Programming for Cyber Security: A Rising Application Domain Where GP Matters
Una-MayO'Reilly.html
JamalToutouh.html
MarcosPertierra.html
DanielPradoSanchez.html
DennisGarcia.html
AnthonyErbLugo.html
JonathanKelly.html
ErikHemberg.html
http___dx.doi.org_10.1007_s10710-020-09389-y http://dx.doi.org/10.1007/s10710-020-09389-y
O'Reilly:2020:beacon From Biological to Computational Arms Races -- Studying Cyber Security Dynamics
Una-MayO'Reilly.html
ErikHemberg.html
http___dx.doi.org_10.1007_978-3-030-39831-6_27 http://dx.doi.org/10.1007/978-3-030-39831-6_27
OReilly:2020:GECCOcomp Genetic Programming: A Tutorial Introduction
Una-MayO'Reilly.html
ErikHemberg.html
https___doi.org_10.1145_3377929.3389882 https://doi.org/10.1145/3377929.3389882
http___dx.doi.org_10.1145_3377929.3389882 http://dx.doi.org/10.1145/3377929.3389882
OReilly:2021:GECCOcomp Genetic Programming A Tutorial Introduction
Una-MayO'Reilly.html
ErikHemberg.html
http___dx.doi.org_10.1145_3449726.3461394 http://dx.doi.org/10.1145/3449726.3461394
OReilly:2022:GPTP GUI-Based, Efficient Genetic Programming For Unity3D
Una-MayO'Reilly.html
ErikHemberg.html
O'Reilly:2023:GPTP Analysis of a Pairwise Dominance Coevolutionary Algorithm with Spatial Topology
MarioAlejandroHeviaFajardo.html
PerKristianLehre.html
JamalToutouh.html
ErikHemberg.html
Una-MayO'Reilly.html
http___dx.doi.org_10.1007_978-981-99-8413-8_2 http://dx.doi.org/10.1007/978-981-99-8413-8_2
o'reilly:2023:GECCOcomp Genetic Programming: A Tutorial Introduction
Una-MayO'Reilly.html
ErikHemberg.html
http___dx.doi.org_10.1145_3583133.3595061 http://dx.doi.org/10.1145/3583133.3595061
oai:CiteSeerPSU:541181 Reexamining tf.idf based information retrieval with genetic programming
NirOren.html
http___portal.acm.org_ft_gateway.cfm_id_581538_type_pdf_coll_GUIDE_dl_GUIDE_CFID_28307342_CFTOKEN_23468853 http://portal.acm.org/ft_gateway.cfm?id=581538&type=pdf&coll=GUIDE&dl=GUIDE&CFID=28307342&CFTOKEN=23468853
http___www.csd.abdn.ac.uk__noren_papers_saicsitpaper.ps http://www.csd.abdn.ac.uk/~noren/papers/saicsitpaper.ps
http___citeseer.ist.psu.edu_541181.html http://citeseer.ist.psu.edu/541181.html
Oren:2002:masters Improving the Effectiveness of Informtation Retrival with Genetic Programming
NirOren.html
http___www.csd.abdn.ac.uk__noren_papers_main.ps http://www.csd.abdn.ac.uk/~noren/papers/main.ps
http___citeseer.ist.psu.edu_542570.html http://citeseer.ist.psu.edu/542570.html
Orfila:evows09 Evolving High-speed, Easy-to-understand Network Intrusion Detection Rules with Genetic Programming
AgustinOrfilaDiaz-Pabon.html
JuanManuelEstevez-Tapiador.html
DArturoRibagordaGarnacho.html
http___dx.doi.org_10.1007_978-3-642-01129-0_11 http://dx.doi.org/10.1007/978-3-642-01129-0_11
Orhand:2022:EuroGP Accurate and Interpretable Representations of Environments with Anticipatory Learning Classifier Systems
RomainOrhand.html
AnneJeannin-Girardon.html
PierreParrend.html
PierreCollet.html
http___dx.doi.org_10.1007_978-3-031-02056-8_16 http://dx.doi.org/10.1007/978-3-031-02056-8_16
Orlenko:2018:PSB Considerations for automated machine learning in clinical metabolic profiling: Altered homocysteine plasma concentration associated with metformin exposure
AlenaOrlenko.html
JasonHMoore.html
PatrykOrzechowski.html
RandalSOlson.html
JunmeiCairns.html
PedroJCaraballo.html
RichardMWeinshilboum.html
LieweiWang.html
MatthewKBreitenstein.html
https___www.ncbi.nlm.nih.gov_pmc_articles_PMC5882490_ https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5882490/
https___pubmed.ncbi.nlm.nih.gov_29218905_ https://pubmed.ncbi.nlm.nih.gov/29218905/
https___psb.stanford.edu_psb-online_proceedings_psb18_orlenko.pdf https://psb.stanford.edu/psb-online/proceedings/psb18/orlenko.pdf
Orlenko:2020:BioInf Model selection for metabolomics: predicting diagnosis of coronary artery disease using automated machine learning
AlenaOrlenko.html
DanielKofink.html
Leo-PekkaLyytikainen.html
KjellNikus.html
PashupatiMishra.html
PekkaKuukasjarvi.html
PekkaJKarhunen.html
MikaKaehoenen.html
JariOLaurikka.html
TerhoLehtimaki.html
FolkertWAsselbergs.html
JasonHMoore.html
https___doi.org_10.1093_bioinformatics_btz796 https://doi.org/10.1093/bioinformatics/btz796
https___academic.oup.com_bioinformatics_article-pdf_36_6_1772_32915481_btz796.pdf https://academic.oup.com/bioinformatics/article-pdf/36/6/1772/32915481/btz796.pdf
http___dx.doi.org_10.1093_bioinformatics_btz796 http://dx.doi.org/10.1093/bioinformatics/btz796
https___github.com_EpistasisLab_tpot https://github.com/EpistasisLab/tpot
Orlov08:evolutionary Evolutionary Software Improvement for Instruction Set Meta-evolution
MichaelOrlov.html
MosheSipper.html
https___noexec.org_public_papers_wssec.pdf https://noexec.org/public/papers/wssec.pdf
https___www.cs.bgu.ac.il__orlovm_papers_wssec.pdf https://www.cs.bgu.ac.il/~orlovm/papers/wssec.pdf
DBLP:conf/gecco/OrlovS09 Genetic Programming in the Wild: Evolving Unrestricted Bytecode
MichaelOrlov.html
MosheSipper.html
http___dx.doi.org_10.1145_1569901.1570042 http://dx.doi.org/10.1145/1569901.1570042
Orlov:2010:GPTP FINCH: A System for Evolving Java (Bytecode)
MichaelOrlov.html
MosheSipper.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.298.6355 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.298.6355
http___www.springer.com_computer_ai_book_978-1-4419-7746-5 http://www.springer.com/computer/ai/book/978-1-4419-7746-5
http___www.cs.bgu.ac.il__orlovm_papers_gptp.pdf http://www.cs.bgu.ac.il/~orlovm/papers/gptp.pdf
http___dx.doi.org_10.1007_978-1-4419-7747-2_1 http://dx.doi.org/10.1007/978-1-4419-7747-2_1
Orlov:2011:ieeeTEC Flight of the FINCH through the Java Wilderness
MichaelOrlov.html
MosheSipper.html
https___drive.google.com_file_d_0B6G3tbmMcpR4bFVYbWRWVGlDN28_view https://drive.google.com/file/d/0B6G3tbmMcpR4bFVYbWRWVGlDN28/view
http___dx.doi.org_10.1109_TEVC.2010.2052622 http://dx.doi.org/10.1109/TEVC.2010.2052622
Orlov:2011:SSBSE Automatic Evolution of Java-Written Game Heuristics
MichaelOrlov.html
CarmelBregman.html
MosheSipper.html
http___dx.doi.org_10.1007_978-3-642-23716-4_30 http://dx.doi.org/10.1007/978-3-642-23716-4_30
Orlov:2012:CC Genetic and Evolutionary Algorithms and Programming: General Introduction and Application to Game Playing
MichaelOrlov.html
MosheSipper.html
AmiHauptman.html
http___dx.doi.org_10.1007_978-1-4614-1800-9_81 http://dx.doi.org/10.1007/978-1-4614-1800-9_81
Orlov:2017:GI Evolving Software Building Blocks with FINCH
MichaelOrlov.html
http___geneticimprovementofsoftware.com_wp-content_uploads_2017_05_orlov2017_finch.pdf http://geneticimprovementofsoftware.com/wp-content/uploads/2017/05/orlov2017_finch.pdf
https___noexec.org_public_papers_finch-tree.pdf https://noexec.org/public/papers/finch-tree.pdf
http___doi.acm.org_10.1145_3067695.3082521 http://doi.acm.org/10.1145/3067695.3082521
http___dx.doi.org_10.1145_3067695.3082521 http://dx.doi.org/10.1145/3067695.3082521
Orlov:2018:GI5 Towards Modular Large-Scale Darwinian Software Improvement
MichaelOrlov.html
https___noexec.org_public_papers_modular-dsi.pdf https://noexec.org/public/papers/modular-dsi.pdf
http___www.cs.stir.ac.uk_events_gecco-gi-2018_papers_towards_modular_large-scale_darwinian_software_improvement.pdf http://www.cs.stir.ac.uk/events/gecco-gi-2018/papers/towards_modular_large-scale_darwinian_software_improvement.pdf
http___dx.doi.org_10.1145_3205651.3208311 http://dx.doi.org/10.1145/3205651.3208311
ORourke:2012:DS-RT CUDA-Enabled Optimisation of Technical Analysis Parameters
JohnO'Rourke.html
JohnBurns.html
http___dx.doi.org_10.1109_DS-RT.2012.39 http://dx.doi.org/10.1109/DS-RT.2012.39
Orove:2014:AJCICT A Multi-Gene Genetic Programming Application for Predicting Students Failure at School
OsuJoshuaOrove.html
BOEke.html
ENOsegi.html
https___africanjournalofcomputingict1.files.wordpress.com_2017_08_vol-7-no-3-september-2014.pdf https://africanjournalofcomputingict1.files.wordpress.com/2017/08/vol-7-no-3-september-2014.pdf
https___arxiv.org_abs_1503.03211 https://arxiv.org/abs/1503.03211
602249 Automatic composition of music by means of grammatical evolution
AlfonsoOrtegadelaPuente.html
RafaelSanchezAlfonso.html
ManuelAlfonseca.html
http___dx.doi.org_10.1145_602231.602249 http://dx.doi.org/10.1145/602231.602249
http___www.ii.uam.es__alfonsec_artint_apl2002b.pdf http://www.ii.uam.es/~alfonsec/artint/apl2002b.pdf
http___portal.acm.org_citation.cfm_id_602249_jmp_cit_dl_portal_dl_ACM http://portal.acm.org/citation.cfm?id=602249&jmp=cit&dl=portal&dl=ACM
ortega:2003:IBM Grammatical evolution to design fractal curves with a given dimension
AlfonsoOrtegadelaPuente.html
AbdelLatifAbuDalhoum.html
ManuelAlfonseca.html
http___www.research.ibm.com_journal_rd_474_ortega.pdf http://www.research.ibm.com/journal/rd/474/ortega.pdf
http___dx.doi.org_10.1147_rd.474.0483 http://dx.doi.org/10.1147/rd.474.0483
Ortega:2007:ieeeTEC Christiansen Grammar Evolution: Grammatical Evolution With Semantics
AlfonsoOrtegadelaPuente.html
MarinadelaCruzEcheandia.html
ManuelAlfonseca.html
http___arantxa.ii.uam.es__alfonsec_artint_ieeetec.pdf http://arantxa.ii.uam.es/~alfonsec/artint/ieeetec.pdf
http___dx.doi.org_10.1109_TEVC.2006.880327 http://dx.doi.org/10.1109/TEVC.2006.880327
orthlieb:1995:THP The Hannibal Project
CarlOrthlieb.html
Ortiz-Bayliss:2013:UKCI A genetic programming hyper-heuristic: Turning features into heuristics for constraint satisfaction
JoseCarlosOrtiz-Bayliss.html
EnderOzcan.html
AndrewJParkes.html
HugoTerashima-Marin.html
http___dx.doi.org_10.1109_UKCI.2013.6651304 http://dx.doi.org/10.1109/UKCI.2013.6651304
Orzechowski:2018:GECCO Where are we now?: a large benchmark study of recent symbolic regression methods
PatrykOrzechowski.html
WilliamLaCava.html
JasonHMoore.html
https___www.researchgate.net_publication_324769381_Where_are_we_now_A_large_benchmark_study_of_recent_symbolic_regression_methods https://www.researchgate.net/publication/324769381_Where_are_we_now_A_large_benchmark_study_of_recent_symbolic_regression_methods
http___dx.doi.org_10.1145_3205455.3205539 http://dx.doi.org/10.1145/3205455.3205539
https___cavalab.org_srbench_ https://cavalab.org/srbench/
Orzechowski:2019:GECCOcomp EBIC: a scalable biclustering method for large scale data analysis
PatrykOrzechowski.html
JasonHMoore.html
http___dx.doi.org_10.1145_3319619.3326762 http://dx.doi.org/10.1145/3319619.3326762
Orzechowski:2020:EuroGP Benchmarking manifold learning methods on a large collection of datasets
PatrykOrzechowski.html
FranciszekMagiera.html
JasonHMoore.html
http___dx.doi.org_10.1007_978-3-030-44094-7_9 http://dx.doi.org/10.1007/978-3-030-44094-7_9
orzechowski:2022:GECCOcomp A Comparative Study of GP-based and State-of-the-art Classifiers on a Synthetic Machine Learning Benchmark
PatrykOrzechowski.html
PawelRenc.html
WilliamLaCava.html
JasonHMoore.html
ArkadiuszSitek.html
JaroslawWas.html
JoostWagenaar.html
http___dx.doi.org_10.1145_3520304.3529056 http://dx.doi.org/10.1145/3520304.3529056
osborn:1995:glp Genetic Logic Programming
ThomasROsborn.html
AdibCharif.html
RicardoLamas.html
EugeneDubossarsky.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_glpfinal.ps.gz http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/glpfinal.ps.gz
Oshikawa:2022:AIC Evolutionary Generative Adversarial Networks for Sentence Generation from Keyword
RayOshikawa.html
KotaroPindur.html
HitoshiIba.html
http___dx.doi.org_10.1109_AIC55036.2022.9848944 http://dx.doi.org/10.1109/AIC55036.2022.9848944
conf/icarcv/OsmeraPP06 Parallel Grammatical Evolution with Backward Processing
PavelOsmera.html
OndrejPopelka.html
PetrPivonka.html
http___dx.doi.org_10.1109_ICARCV.2006.345302 http://dx.doi.org/10.1109/ICARCV.2006.345302
Osmera:2008:cec Two Level Parallel Grammatical Evolution
PavelOsmera.html
OndrejPopelka.html
PetrPivonka.html
http___dx.doi.org_10.1109_CEC.2008.4631129 http://dx.doi.org/10.1109/CEC.2008.4631129
Osmera:2011:FSKD Two-Level Transplant Evolution for optimization of controllers
PavelOsmera.html
JPetrucha.html
MilosSeda.html
RadomilMatousek.html
RomanWeisser.html
http___dx.doi.org_10.1109_FSKD.2011.6020001 http://dx.doi.org/10.1109/FSKD.2011.6020001
Osmera:2019:AML Ring models of atoms, molecules and nanomaterials
PavelOsmera.html
DanielZuth.html
AnnaKucerova.html
PavelOsmerajunior.html
MonikaDosoudilova.html
JanMuller.html
TomasMarada.html
LadislavDobrovsky.html
https___www.vbripress.com_aml_uploadsnew_1549089125_fullabstractpdf.pdf https://www.vbripress.com/aml/uploadsnew/1549089125_fullabstractpdf.pdf
http___dx.doi.org_10.5185_amlett.2019.2223 http://dx.doi.org/10.5185/amlett.2019.2223
Ossman:2010:AJEAS Linear Genetic Programming for Prediction of Nickel Recovery from Spent Nickel Catalyst
MonaEOssman.html
WalaaSheta.html
YEltaweel.html
http___thescipub.com_pdf_10.3844_ajeassp.2010.482.488 http://thescipub.com/pdf/10.3844/ajeassp.2010.482.488
http___dx.doi.org_10.3844_ajeassp.2010.482.488 http://dx.doi.org/10.3844/ajeassp.2010.482.488
DBLP:conf/gecco/OstaszewskiBS09 Multiobjective classification with moGEP: an application in the network traffic domain
MarekOstaszewski.html
PascalBouvry.html
FranciszekSeredynski.html
http___dx.doi.org_10.1145_1569901.1569989 http://dx.doi.org/10.1145/1569901.1569989
ostrowski:1998:ismcaoalsesd Integration of Slicing Methods into a Cultural Algorithm in Order to Assist in Large-Scale Engineerging Systems Design
DavidAOstrowski.html
RobertGReynolds.html
http___dx.doi.org_10.1007_BFb0040772 http://dx.doi.org/10.1007/BFb0040772
ostrowski:2002:ucatesiam Using Cultural Algorithms to Evolve Strategies in Agent-Based Models
DavidAOstrowski.html
TroyTassier.html
MarkPEverson.html
RobertGReynolds.html
http___dx.doi.org_10.1109_CEC.2002.1007018 http://dx.doi.org/10.1109/CEC.2002.1007018
Ostrowski:thesis Using cultural algorithms to evolve strategies in agent-based models
DavidAOstrowski.html
http___digitalcommons.wayne.edu_dissertations_AAI3047580.pdf http://digitalcommons.wayne.edu/dissertations/AAI3047580.pdf
http___genealogy.math.ndsu.nodak.edu_id.php_id_100306 http://genealogy.math.ndsu.nodak.edu/id.php?id=100306
ostrowski:2003:GPTP Using Software Engineering Knowledge to Drive Genetic Program Design Using Cultural Algorithms Exploiting the Synergy of Software Engineering Knowledge in Evolutionary Design
DavidAOstrowski.html
RobertGReynolds.html
http___www.springer.com_computer_ai_book_978-1-4020-7581-0 http://www.springer.com/computer/ai/book/978-1-4020-7581-0
http___dx.doi.org_10.1007_978-1-4419-8983-3_5 http://dx.doi.org/10.1007/978-1-4419-8983-3_5
Ostrowski:2004:UCAtESfRM Using Cultural Algorithms to Evolve Strategies for Recessionary Markets
DavidAOstrowski.html
RobertGReynolds.html
http___dx.doi.org_10.1109_CEC.2004.1331111 http://dx.doi.org/10.1109/CEC.2004.1331111
osullivan:2002:EuroGP An investigation into the use of different search strategies with Grammatical Evolution
JohnO'Sullivan.html
ConorRyan.html
http___dx.doi.org_10.1007_3-540-45984-7_26 http://dx.doi.org/10.1007/3-540-45984-7_26
otero:2002:gecco Genetic Programming For Attribute Construction In Data Mining
FernandoEstebanBarrilOtero.html
MoniqueMSSilva.html
AlexAlvesFreitas.html
http___gpbib.cs.ucl.ac.uk_gecco2002_RWA056.ps http://gpbib.cs.ucl.ac.uk/gecco2002/RWA056.ps
http___gpbib.cs.ucl.ac.uk_gecco2002_RWA056.pdf http://gpbib.cs.ucl.ac.uk/gecco2002/RWA056.pdf
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_gecco2002_gecco-2002-21.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/gecco2002/gecco-2002-21.pdf
otero:2002:gecco:lbp Genetic Programming for Attribute Construction in Data Mining
FernandoEstebanBarrilOtero.html
MoniqueMSSilva.html
AlexAlvesFreitas.html
otero03 Genetic Programming for Attribute Construction in Data Mining
FernandoEstebanBarrilOtero.html
MoniqueMSSilva.html
AlexAlvesFreitas.html
JulioCesarNievola.html
http___www.cs.kent.ac.uk_people_staff_aaf_pub_papers.dir_EuroGP-2003-Fernando.pdf http://www.cs.kent.ac.uk/people/staff/aaf/pub_papers.dir/EuroGP-2003-Fernando.pdf
https___www.cs.kent.ac.uk_people_staff_aaf_pubs.html https://www.cs.kent.ac.uk/people/staff/aaf/pubs.html
https___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.102.51 https://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.102.51
http___dx.doi.org_10.1007_3-540-36599-0_36 http://dx.doi.org/10.1007/3-540-36599-0_36
OteroJFT10 Refactoring in Automatically Generated Programs
FernandoEstebanBarrilOtero.html
ColinGJohnson.html
AlexAlvesFreitas.html
SimonJThompson.html
http___www.ssbse.org_2010_fastabstracts_ssbse2010_fastabstract_01.pdf http://www.ssbse.org/2010/fastabstracts/ssbse2010_fastabstract_01.pdf
Otero:2012:GECCO EpochX: Genetic Programming in Java with Statistics and Event Monitoring
FernandoEstebanBarrilOtero.html
TomCastle.html
ColinGJohnson.html
http___dx.doi.org_10.1145_2330784.2330800 http://dx.doi.org/10.1145/2330784.2330800
http___www.cs.kent.ac.uk_pubs_2012_3212_index.html http://www.cs.kent.ac.uk/pubs/2012/3212/index.html
otero:2013:EuroGP Automated Problem Decomposition for the Boolean Domain with Genetic Programming
FernandoEstebanBarrilOtero.html
ColinGJohnson.html
http___dx.doi.org_10.1007_978-3-642-37207-0_15 http://dx.doi.org/10.1007/978-3-642-37207-0_15
Othman:2013:jasa Great Deluge Algorithm Feature Selection for Network Intrusion Detection
ZulaihaAliOthman.html
ZulaihaAliOthman.html
LewMeiTheng.html
SuhailaZainudin.html
HafizMohdSarim.html
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http___www.aensiweb.com_old_jasa_rjfh_2013_322-330.pdf http://www.aensiweb.com/old/jasa/rjfh/2013/322-330.pdf
eurogp06:OuHwangYung Design of Robust Communication Systems Using Genetic Algorithms
Chien-MinOu.html
Wen-JyiHwang.html
Hung-ChuanYung.html
http___dx.doi.org_10.1007_11729976_24 http://dx.doi.org/10.1007/11729976_24
Ouchiyama:2015:IWCIA Acquisition of characteristic block preserving outerplanar graph patterns from positive and negative data using Genetic Programming and tree representation of graph patterns
YutoOuchiyama.html
TetsuhiroMiyahara.html
YusukeSuzuki.html
TomoyukiUchida.html
TetsujiKuboyama.html
FumiyaTokuhara.html
http___dx.doi.org_10.1109_IWCIA.2015.7449469 http://dx.doi.org/10.1109/IWCIA.2015.7449469
ouni2014PhD A Mono-and Multi-objective Approach for Recommending Software Refactoring
AliOuni.html
https___sites.google.com_site_ouniaali_ouni_PhD_thesis_2014.pdf https://sites.google.com/site/ouniaali/ouni_PhD_thesis_2014.pdf
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https___papyrus.bib.umontreal.ca_xmlui_handle_1866_11613 https://papyrus.bib.umontreal.ca/xmlui/handle/1866/11613
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Ouni:2015:GECCO Web Service Antipatterns Detection Using Genetic Programming
AliOuni.html
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MarouaneKessentini.html
KatsuroInoue.html
http___doi.acm.org_10.1145_2739480.2754724 http://doi.acm.org/10.1145/2739480.2754724
http___dx.doi.org_10.1145_2739480.2754724 http://dx.doi.org/10.1145/2739480.2754724
Ouni:2020:GECCOcomp Search Based Software Engineering: Challenges, Opportunities and Recent Applications
AliOuni.html
https___doi.org_10.1145_3377929.3389887 https://doi.org/10.1145/3377929.3389887
http___dx.doi.org_10.1145_3377929.3389887 http://dx.doi.org/10.1145/3377929.3389887
BC-sipar-m:94 Optimisation g\'en\'etique massivement parall\`ele
MouloudOussaidene.html
BastienChopard.html
renpar:95 Programmation \'evolutionniste parall\`ele
MouloudOussaidene.html
BastienChopard.html
MarcoTomassini.html
ftp___cui.unige.ch_pub_chopard_RenPar_papier27.ps.Z ftp://cui.unige.ch/pub/chopard/RenPar/papier27.ps.Z
http___cuiwww.unige.ch__chopard_Genetics_mons.ps http://cuiwww.unige.ch/~chopard/Genetics/mons.ps
oussaidene:1996:pGPtme Parallel Genetic Programming: An Application to Trading Models Evolution
MouloudOussaidene.html
BastienChopard.html
OlivierVPictet.html
MarcoTomassini.html
http___citeseer.ist.psu.edu_cache_papers_cs_16994_ftp_zSzzSzcui.unige.chzSzPUBLICzSzchopardzSzGP96zSzGP96.pdf_parallel-genetic-programming-an.pdf http://citeseer.ist.psu.edu/cache/papers/cs/16994/ftp:zSzzSzcui.unige.chzSzPUBLICzSzchopardzSzGP96zSzGP96.pdf/parallel-genetic-programming-an.pdf
http___citeseer.ist.psu.edu_345754.html http://citeseer.ist.psu.edu/345754.html
http___cognet.mit.edu_sites_default_files_books_9780262315876_pdfs_9780262315876_chap48.pdf http://cognet.mit.edu/sites/default/files/books/9780262315876/pdfs/9780262315876_chap48.pdf
http___cognet.mit.edu_library_books_view_isbn_0262611279 http://cognet.mit.edu/library/books/view?isbn=0262611279
mouloud-phd:96 Genetic Programming: Methodology, Parallelization and Applications
MouloudOussaidene.html
http___cuiwww.unige.ch__chopard_Genetics_PhD.pdf http://cuiwww.unige.ch/~chopard/Genetics/PhD.pdf
http___cui.unige.ch__chopard_Genetics_gp.html http://cui.unige.ch/~chopard/Genetics/gp.html
par-comp:96 Parallel Genetic Programming and its application to trading model induction
MouloudOussaidene.html
BastienChopard.html
OlivierVPictet.html
MarcoTomassini.html
http___citeseer.ist.psu.edu_cache_papers_cs_166_http_zSzzSzlslwww.epfl.chzSz_marcozSzparcomp.pdf_oussaidene97parallel.pdf http://citeseer.ist.psu.edu/cache/papers/cs/166/http:zSzzSzlslwww.epfl.chzSz~marcozSzparcomp.pdf/oussaidene97parallel.pdf
http___citeseer.ist.psu.edu_oussaidene97parallel.html http://citeseer.ist.psu.edu/oussaidene97parallel.html
http___dx.doi.org_10.1016_S0167-8191_97_00045-8 http://dx.doi.org/10.1016/S0167-8191(97)00045-8
Ouyang:2013:CIPLS SDGP: A developmental approach for traveling salesman problems
JinOuyang.html
ThomasWeise.html
AlexandreDevert.html
RaymondChiong.html
http___dx.doi.org_10.1109_CIPLS.2013.6595203 http://dx.doi.org/10.1109/CIPLS.2013.6595203
Ouyang:2017:JCH Chance-constrained multi-objective optimization of groundwater remediation design at DNAPLs-contaminated sites using a multi-algorithm genetically adaptive method
QiOuyang.html
WenxiLu.html
ZeyuHou.html
YuZhang.html
ShuaiLi.html
JiannanLuo.html
http___dx.doi.org_10.1016_j.jconhyd.2017.03.004 http://dx.doi.org/10.1016/j.jconhyd.2017.03.004
http___www.sciencedirect.com_science_article_pii_S0169772216300845 http://www.sciencedirect.com/science/article/pii/S0169772216300845
OUYANG:2017:JCHa Conservative strategy-based ensemble surrogate model for optimal groundwater remediation design at DNAPLs-contaminated sites
QiOuyang.html
WenxiLu.html
JinLin.html
WenbingDeng.html
WeiguoCheng.html
http___dx.doi.org_10.1016_j.jconhyd.2017.05.007 http://dx.doi.org/10.1016/j.jconhyd.2017.05.007
http___www.sciencedirect.com_science_article_pii_S0169772216302984 http://www.sciencedirect.com/science/article/pii/S0169772216302984
Ouyang:2018:WRM Monthly Rainfall Forecasting Using Echo State Networks Coupled with Data Preprocessing Methods
QiOuyang.html
WenxiLu.html
http___link.springer.com_10.1007_s11269-017-1832-1 http://link.springer.com/10.1007/s11269-017-1832-1
http___dx.doi.org_10.1007_s11269-017-1832-1 http://dx.doi.org/10.1007/s11269-017-1832-1
DBLP:phd/es/Castillo19 Forecasting and decision support for type 1 diabetes insulin therapy using machine learning
SilviaOviedoCastillo.html
https___dblp.org_rec_phd_es_Castillo19.bib https://dblp.org/rec/phd/es/Castillo19.bib
https___www.tdx.cat_bitstream_handle_10803_667332_tsoc_20190409.pdf https://www.tdx.cat/bitstream/handle/10803/667332/tsoc_20190409.pdf
http___hdl.handle.net_10803_667332 http://hdl.handle.net/10803/667332
conf/adbis/OwaisKS05 Evolutionary Learning of Boolean Queries by Genetic Programming
SuhailSJOwais.html
PavelKromer.html
VaclavSnasel.html
http___sunsite.informatik.rwth-aachen.de_Publications_CEUR-WS_Vol-152_paper3.pdf http://sunsite.informatik.rwth-aachen.de/Publications/CEUR-WS/Vol-152/paper3.pdf
Owais:2006:CEC Implementing GP on Optimizing both Boolean and Extended Boolean Queries in IR and Fuzzy IR systems with Respect to the Users Profiles
SuhailSJOwais.html
PavelKromer.html
VaclavSnasel.html
DusanHusek.html
RomanNeruda.html
http___dx.doi.org_10.1109_CEC.2006.1688486 http://dx.doi.org/10.1109/CEC.2006.1688486
DBLP:journals/jdim/Owais06 Optimization of Boolean Queries in Information Retrieval Systems Using Genetic Algorithms - Genetic Programming and Fuzzy Logic
SuhailSJOwais.html
https___www.semanticscholar.org_paper_Optimization-of-Boolean-Queries-in-Information-Owais_1d92cbb544cc255b697f23e4b5a050bd78906db9 https://www.semanticscholar.org/paper/Optimization-of-Boolean-Queries-in-Information-Owais/1d92cbb544cc255b697f23e4b5a050bd78906db9
https___pdfs.semanticscholar.org_1d92_cbb544cc255b697f23e4b5a050bd78906db9.pdf https://pdfs.semanticscholar.org/1d92/cbb544cc255b697f23e4b5a050bd78906db9.pdf
http___www.dirf.org_jdim_abstractv4i4.htm http://www.dirf.org/jdim/abstractv4i4.htm
Owais:thesis Optimization of boolean queries in information retrieval systems using genetic algorithms - genetic programming and fuzzy logic
SuhailSJOwais.html
http___hdl.handle.net_10084_59652 http://hdl.handle.net/10084/59652
conf/nostradamus/OwaisKPSZ12 Data Mining by Symbolic Fuzzy Classifiers and Genetic Programming
SuhailSJOwais.html
PavelKromer.html
JanPlatos.html
VaclavSnasel.html
IvanZelinka.html
http___dx.doi.org_10.1007_978-3-642-33227-2 http://dx.doi.org/10.1007/978-3-642-33227-2
Owen:ieeeTEC Characterising Genetic Programming Error Through Extended Bias and Variance Decomposition
CaitlinAOwen.html
GrantDick.html
PeterAlexanderWhigham.html
http___dx.doi.org_10.1109_TEVC.2020.2990626 http://dx.doi.org/10.1109/TEVC.2020.2990626
Owen:thesis Error Decomposition of Evolutionary Machine Learning
CaitlinAOwen.html
http___hdl.handle.net_10523_12234 http://hdl.handle.net/10523/12234
https___ourarchive.otago.ac.nz_bitstream_handle_10523_12234_CaitlinOwen_PhDThesis_ErrorDecomposition.pdf https://ourarchive.otago.ac.nz/bitstream/handle/10523/12234/CaitlinOwen_PhDThesis_ErrorDecomposition.pdf
Owen:2022:ieeeTEC Standardisation and Data Augmentation in Genetic Programming
CaitlinAOwen.html
GrantDick.html
PeterAlexanderWhigham.html
http___dx.doi.org_10.1109_TEVC.2022.3160414 http://dx.doi.org/10.1109/TEVC.2022.3160414
Owen:EC Using Decomposed Error for Reproducing Implicit Understanding of Algorithms
CaitlinAOwen.html
GrantDick.html
PeterAlexanderWhigham.html
http___dx.doi.org_10.1162_evco_a_00321 http://dx.doi.org/10.1162/evco_a_00321
Oyebode:thesis Development of a sustainable evolutionary-inspired artificial intelligent system for municipal water demand modelling
OluwaseunKunleOyebode.html
https___researchspace.ukzn.ac.za_handle_10413_18677 https://researchspace.ukzn.ac.za/handle/10413/18677
http___ukzn-dspace.ukzn.ac.za_bitstream_handle_10413_18677_Oyebode_Oluwaseun_Kunle_2019.pdf http://ukzn-dspace.ukzn.ac.za/bitstream/handle/10413/18677/Oyebode_Oluwaseun_Kunle_2019.pdf
Oz:2016:SSI Analysis of impedance spectroscopy of aqueous supercapacitors by evolutionary programming: Finding DFRT from complex capacitance
AlonOz.html
ShanyHershkovitz.html
NatalyBelman.html
ErvinTal-Gutelmacher.html
YoedTsur.html
http___dx.doi.org_10.1016_j.ssi.2015.11.008 http://dx.doi.org/10.1016/j.ssi.2015.11.008
http___www.sciencedirect.com_science_article_pii_S0167273815004142 http://www.sciencedirect.com/science/article/pii/S0167273815004142
Oz:2017:JPS A novel approach for supercapacitors degradation characterization
AlonOz.html
DannyGelman.html
EmanuelleGoren.html
NetaShomrat.html
SiomaBaltianski.html
YoedTsur.html
http___dx.doi.org_10.1016_j.jpowsour.2017.04.048 http://dx.doi.org/10.1016/j.jpowsour.2017.04.048
http___www.sciencedirect.com_science_article_pii_S0378775317305335 http://www.sciencedirect.com/science/article/pii/S0378775317305335
Oz:thesis Novel Approach to Analyze Impedance Spectroscopy of Electrochemical Power Sources
AlonOz.html
https___www.graduate.technion.ac.il_Theses_Abstracts.asp_Id_29738 https://www.graduate.technion.ac.il/Theses/Abstracts.asp?Id=29738
Ozbay20081831 Empirical modeling of fresh and hardened properties of self-compacting concretes by genetic programming
ErdoganOzbay.html
MehmetGesoglu.html
ErhanGuneyisi.html
http___dx.doi.org_10.1016_j.conbuildmat.2007.04.021 http://dx.doi.org/10.1016/j.conbuildmat.2007.04.021
http___www.sciencedirect.com_science_article_B6V2G-4P1276C-3_2_6cd0e931c22fa84e43fe4d289cf9b69f http://www.sciencedirect.com/science/article/B6V2G-4P1276C-3/2/6cd0e931c22fa84e43fe4d289cf9b69f
ozbayrak:AJSE Buckling Load Estimation Using Multiple Linear Regression Analysis and Multigene Genetic Programming Method in Cantilever Beams with Transverse Stiffeners
AhmetOzbayrak.html
MohammedKamalAli.html
HaticeCitakoglu.html
http___link.springer.com_article_10.1007_s13369-022-07445-6 http://link.springer.com/article/10.1007/s13369-022-07445-6
http___dx.doi.org_10.1007_s13369-022-07445-6 http://dx.doi.org/10.1007/s13369-022-07445-6
ozdemir:2022:AJSE A New Predictive Model for Uniaxial Compressive Strength of Rock Using Machine Learning Method: Artificial Intelligence-Based Age-Layered Population Structure Genetic Programming (ALPS-GP)
EnginOzdemir.html
http___link.springer.com_article_10.1007_s13369-021-05761-x http://link.springer.com/article/10.1007/s13369-021-05761-x
http___dx.doi.org_10.1007_s13369-021-05761-x http://dx.doi.org/10.1007/s13369-021-05761-x
OZKAN:2019:WM A heating value estimation of refuse derived fuel using the genetic programming model
KemalOzkan.html
SahinIsik.html
ZerrinGunkaya.html
AysunOzkan.html
MufideBanar.html
http___dx.doi.org_10.1016_j.wasman.2019.09.035 http://dx.doi.org/10.1016/j.wasman.2019.09.035
http___www.sciencedirect.com_science_article_pii_S0956053X19306142 http://www.sciencedirect.com/science/article/pii/S0956053X19306142
Ozkiziltan:2022:GPEM Melanie Mitchell: Artificial intelligence -- a guide for thinking humans
DidemOezkiziltan.html
https___rdcu.be_cQnOx https://rdcu.be/cQnOx
http___dx.doi.org_10.1007_s10710-022-09439-7 http://dx.doi.org/10.1007/s10710-022-09439-7
Ozkul:1997:ecs Evolution of Complex Systems
UmurOzkul.html
Ozman:2012:GPEM W. Brian Arthur: The nature of technology: what it is and how it evolves
MugeOzman.html
http___dx.doi.org_10.1007_s10710-012-9158-5 http://dx.doi.org/10.1007/s10710-012-9158-5
Ozmen:2019:MPE Prediction of Slipper Pressure Distribution and Leakage Behaviour in Axial Piston Pumps Using ANN and MGGP
OzkanOzmen.html
CemSinanoglu.html
TurgayBatbat.html
AysegulGuven.html
https___downloads.hindawi.com_journals_mpe_2019_7317520.pdf https://downloads.hindawi.com/journals/mpe/2019/7317520.pdf
http___dx.doi.org_10.1155_2019_7317520 http://dx.doi.org/10.1155/2019/7317520
journals/ijpr/OzturkBT19 Extracting priority rules for dynamic multi-objective flexible job shop scheduling problems using gene expression programming
GurkanOzturk.html
OzanBahadir.html
AydinTeymourifar.html
http___dx.doi.org_10.1080_00207543.2018.1543964 http://dx.doi.org/10.1080/00207543.2018.1543964
DBLP:journals/jca/OzturkeriJ11 Evolution of Self-Assembling Patterns in Cellular Automata Using Development
CanOzturkeri.html
ColinGJohnson.html
http___www.oldcitypublishing.com_journals_jca-home_jca-issue-contents_jca-volume-6-number-4-5-2011_ http://www.oldcitypublishing.com/journals/jca-home/jca-issue-contents/jca-volume-6-number-4-5-2011/
http___www.oldcitypublishing.com_journals_jca-home_jca-issue-contents_jca-volume-6-number-4-5-2011_jca-6-4-5-p-257-300_ http://www.oldcitypublishing.com/journals/jca-home/jca-issue-contents/jca-volume-6-number-4-5-2011/jca-6-4-5-p-257-300/
http___www.oldcitypublishing.com_pdf_2496 http://www.oldcitypublishing.com/pdf/2496
http___dblp.uni-trier.de_rec_bib_journals_jca_OzturkeriJ11 http://dblp.uni-trier.de/rec/bib/journals/jca/OzturkeriJ11
Ozturkeri:2014:GPEM Self-repair ability of evolved self-assembling systems in cellular automata
CanOzturkeri.html
ColinGJohnson.html
http___dx.doi.org_10.1007_s10710-014-9216-2 http://dx.doi.org/10.1007/s10710-014-9216-2
Pacheco:2013:ROPEC A fitness case strategy in genetic programming to improve system identification
MarcoAPacheco.html
MarioGraffGuerrero.html
JamieCerda.html
http___dx.doi.org_10.1109_ROPEC.2013.6702728 http://dx.doi.org/10.1109/ROPEC.2013.6702728
Pacheco-Vega:2003:IMECE Heat Transfer Correlations in an Air-Water Fin-Tube Compact Heat Exchanger by Symbolic Regression
ArturoJavierPachecoVega.html
WeihuaCai.html
MihirSen.html
KTYang.html
http___dx.doi.org_10.1115_IMECE2003-41977 http://dx.doi.org/10.1115/IMECE2003-41977
Pachet:2004:JAIST Popular Music Access: The Sony Music Browser
FrancoisPachet.html
AmauryLaBurthe.html
AymericZils.html
Jean-JulienAucouturier.html
https___www.csl.sony.fr_downloads_papers_uploads_pachet-02a.pdf https://www.csl.sony.fr/downloads/papers/uploads/pachet-02a.pdf
http___dx.doi.org_10.1002_asi.20055 http://dx.doi.org/10.1002/asi.20055
Paclawski:2015:ijnm Empirical modeling of the fine particle fraction for carrier-based pulmonary delivery formulations
AdamPaclawski.html
JakubSzlek.html
RaymondLau.html
RenataJachowicz.html
AleksanderMendyk.html
http___www.dovepress.com_empirical-modeling-of-the-fine-particle-fraction-fornbspcarrier-based--peer-reviewed-article-IJN http://www.dovepress.com/empirical-modeling-of-the-fine-particle-fraction-fornbspcarrier-based--peer-reviewed-article-IJN
http___dx.doi.org_10.2147_IJN.S75758 http://dx.doi.org/10.2147/IJN.S75758
PACLAWSKI:2018:PT Carrier optimization of pulmonary powder systems with using computational intelligence tools
AdamPaclawski.html
JakubSzlek.html
ThiQuynhNgocNguyen.html
RaymondLau.html
RenataJachowicz.html
AleksanderMendyk.html
http___dx.doi.org_10.1016_j.powtec.2018.01.041 http://dx.doi.org/10.1016/j.powtec.2018.01.041
http___www.sciencedirect.com_science_article_pii_S0032591018300469 http://www.sciencedirect.com/science/article/pii/S0032591018300469
Padarian:2014:GR Predicting and mapping the soil available water capacity of Australian wheatbelt
JosePadarian.html
BudimanMinasny.html
AlexanderBMcBratney.html
NealPDalgliesh.html
http___dx.doi.org_10.1016_j.geodrs.2014.09.005 http://dx.doi.org/10.1016/j.geodrs.2014.09.005
http___www.sciencedirect.com_science_article_pii_S2352009414000133 http://www.sciencedirect.com/science/article/pii/S2352009414000133
Padian:2008:nature Darwin's enduring legacy
KevinPadian.html
http___dx.doi.org_10.1038_451632a http://dx.doi.org/10.1038/451632a
PadilloLV17 An evolutionary algorithm for mining rare association rules: A Big Data approach
FranciscoPadillo.html
JoseMariaLuna.html
SebastianVentura.html
http___dx.doi.org_10.1109_CEC.2017.7969547 http://dx.doi.org/10.1109/CEC.2017.7969547
PadilloLHV18 Mining association rules on Big Data through MapReduce genetic programming
FranciscoPadillo.html
JoseMariaLuna.html
FranciscoHerrera.html
SebastianVentura.html
http___dx.doi.org_10.3233_ICA-170555 http://dx.doi.org/10.3233/ICA-170555
Padillo:2019:CC A Grammar-Guided Genetic Programing Algorithm for Associative Classification in Big Data
FranciscoPadillo.html
JoseMariaLuna.html
SebastianVentura.html
https___link.springer.com_article_10.1007_s12559-018-9617-2 https://link.springer.com/article/10.1007/s12559-018-9617-2
http___dx.doi.org_10.1007_s12559-018-9617-2 http://dx.doi.org/10.1007/s12559-018-9617-2
padman:1995:GPhscps A Genetic Programming Approach for Heuristic Selection in Constrained Project Scheduling
RemaPadman.html
StephenFRoehrig.html
padman:1997:GPhscps A Genetic Programming Approach for Heuristic Selection in Constrained Project Scheduling
RemaPadman.html
StephenFRoehrig.html
http___www.amazon.co.uk_Interfaces-Computer-Science-Operations-Research_dp_0792398440 http://www.amazon.co.uk/Interfaces-Computer-Science-Operations-Research/dp/0792398440
http___dx.doi.org_10.1007_978-1-4615-4102-8_18 http://dx.doi.org/10.1007/978-1-4615-4102-8_18
Padmasiri:2014:ICTer Genetic programming tuned fuzzy controlled traffic light system
TDNDPadmasiri.html
DNRanasinghe.html
http___dx.doi.org_10.1109_ICTER.2014.7083885 http://dx.doi.org/10.1109/ICTER.2014.7083885
conf/semcco/PadoleA13 Automatic Eye Detection in Face Images for Unconstrained Biometrics Using Genetic Programming
ChandrashekharPadole.html
JoanneAthaide.html
http___dx.doi.org_10.1007_978-3-319-03756-1 http://dx.doi.org/10.1007/978-3-319-03756-1
http___dx.doi.org_10.1007_978-3-319-03756-1_33 http://dx.doi.org/10.1007/978-3-319-03756-1_33
http___dx.doi.org_10.1007_978-3-319-03756-1_33 http://dx.doi.org/10.1007/978-3-319-03756-1_33
Padua2020 Hybrid implementation of evolutionary algorithms in FPGAs for automatic generation of morphological image filters
BrunoPadua.html
DenisPereiradeLima.html
MarcioMerinoFernandes.html
AliAbuassal.html
GianlucaTempesti.html
EmersonCarlosPedrino.html
http___dx.doi.org_10.15199_48.2020.04.02 http://dx.doi.org/10.15199/48.2020.04.02
Pagan:2016:GECCO Grammatical Evolutionary Techniques for Prompt Migraine Prediction
PaganOrtizJosue.html
JoseLRisco-Martin.html
JoseMMoya.html
JoseLuisAyalaRodrigo.html
http___dx.doi.org_10.1145_2908812.2908897 http://dx.doi.org/10.1145/2908812.2908897
page:CSRP-98-20 Smooth Uniform Crossover with Smooth Point Mutation in Genetic Programming: A Preliminary Study
JonathanPage.html
RiccardoPoli.html
WilliamBLangdon.html
ftp___ftp.cs.bham.ac.uk_pub_tech-reports_1998_CSRP-98-20.ps.gz ftp://ftp.cs.bham.ac.uk/pub/tech-reports/1998/CSRP-98-20.ps.gz
page:1999:smuxspmGP Smooth Uniform Crossover with Smooth Point Mutation in Genetic Programming: A Preliminary Study
JonathanPage.html
RiccardoPoli.html
WilliamBLangdon.html
http___www.cs.essex.ac.uk_staff_poli_papers_Page-EUROGP1999.pdf http://www.cs.essex.ac.uk/staff/poli/papers/Page-EUROGP1999.pdf
http___citeseer.ist.psu.edu_336173.html http://citeseer.ist.psu.edu/336173.html
http___dx.doi.org_10.1007_3-540-48885-5_4 http://dx.doi.org/10.1007/3-540-48885-5_4
page:thesis Sub-Symbolic Representation and Search Operators for Genetic Programming
JonathanPage.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_page_thesis.ps.gz http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/page/thesis.ps.gz
pagie97evolutionary Evolutionary Consequences of Coevolving Targets
LudoPagie.html
PaulienHogeweg.html
http___www.santafe.edu__ludo_articles_ecct.ps.gz http://www.santafe.edu/~ludo/articles/ecct.ps.gz
http___citeseer.ist.psu.edu_pagie98evolutionary.html http://citeseer.ist.psu.edu/pagie98evolutionary.html
http___dx.doi.org_10.1162_evco.1997.5.4.401 http://dx.doi.org/10.1162/evco.1997.5.4.401
Pahariya:2009:NaBIC Software cost estimation using computational intelligence techniques
JankiSharanPahariya.html
VadlamaniRavi.html
ShriMahilCarr.html
http___dx.doi.org_10.1109_NABIC.2009.5393534 http://dx.doi.org/10.1109/NABIC.2009.5393534
Paic-Antunovic:2012:MIPRO Evolution of automatic robot control with genetic programming
LovroPaic-Antunovic.html
DomagojJakobovic.html
https___bib.irb.hr_datoteka_584306.MIPRO_2011_Lovro.pdf https://bib.irb.hr/datoteka/584306.MIPRO_2011_Lovro.pdf
http___ieeexplore.ieee.org_xpl_articleDetails.jsp_tp__arnumber_6240756 http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6240756
Paiva:2018:CEC Intelligent approach to improve genetic programming based intra-day solar forecasting models
GabrielMendoncadePaiva.html
SergioPiresPimentel.html
SoniaLeva.html
MarcoMussetta.html
http___dx.doi.org_10.1109_CEC.2018.8477845 http://dx.doi.org/10.1109/CEC.2018.8477845
pak:1994:aaslife Another Approach to the Synthesis of Life
Shan-NgPak.html
Pakri:2008:ICCCE Linear machine weight adaptation in a genetic programming classifier that classifies medical data
NoorAzilahPakri.html
AbdulRazakHussain.html
KhairulAzharKasmiran.html
http___dx.doi.org_10.1109_ICCCE.2008.4580603 http://dx.doi.org/10.1109/ICCCE.2008.4580603
Pala20081495 Genetic programming-based formulation for distortional buckling stress of cold-formed steel members
MuratPala.html
http___www.sciencedirect.com_science_article_B6V3T-4S26RT6-1_2_470d87b82118dc704532a56d498c598b http://www.sciencedirect.com/science/article/B6V3T-4S26RT6-1/2/470d87b82118dc704532a56d498c598b
http___dx.doi.org_10.1016_j.jcsr.2008.01.018 http://dx.doi.org/10.1016/j.jcsr.2008.01.018
Palaghita:2011:IE A Genetic Programming Approach to Geometrical Digital Content Modeling in Web Oriented Applications
DragosPalaghita.html
http___revistaie.ase.ro_content_57_03_20-_20Palaghita.pdf http://revistaie.ase.ro/content/57/03%20-%20Palaghita.pdf
http___revistaie.ase.ro_57.html http://revistaie.ase.ro/57.html
Palancz:2015:MG Correction of Gravimetric Geoid Using Symbolic Regression
BelaPalancz.html
JosephLAwange.html
LajosVolgyesi.html
http___dx.doi.org_10.1007_s11004-014-9577-3 http://dx.doi.org/10.1007/s11004-014-9577-3
Palconit:2021:R10-HTC FishEye: A Centroid-Based Stereo Vision Fish Tracking Using Multigene Genetic Programming
MariaGemelBPalconit.html
MichaelPareja.html
ArgelABandala.html
JasonLEspanola.html
RyanRhayPVicerra.html
RonnieSConcepcionII.html
EdwinSybingco.html
ElmerJosePDadios.html
http___dx.doi.org_10.1109_R10-HTC53172.2021.9641654 http://dx.doi.org/10.1109/R10-HTC53172.2021.9641654
DBLP:journals/jaciii/PalconitBCAEAVB22 Multi-Gene Genetic Programming of IoT Water Quality Index Monitoring from Fuzzified Model for \emphOreochromis niloticus Recirculating Aquaculture System
MariaGemelBPalconit.html
MaryGraceAnnCBautista.html
RonnieSConcepcionII.html
JonnelDAlejandrino.html
IvanRoySEvangelista.html
OliverJohnYAlajas.html
RyanRhayPVicerra.html
ArgelABandala.html
ElmerJosePDadios.html
https___doi.org_10.20965_jaciii.2022.p0816 https://doi.org/10.20965/jaciii.2022.p0816
http___dx.doi.org_10.20965_jaciii.2022.p0816 http://dx.doi.org/10.20965/jaciii.2022.p0816
https___dblp.org_rec_journals_jaciii_PalconitBCAEAVB22.bib https://dblp.org/rec/journals/jaciii/PalconitBCAEAVB22.bib
conf/icaisc/PalkaZ15 Automatic Grammar Induction for Grammar Based Genetic Programming
DariuszPalka.html
MarekZachara.html
http___dx.doi.org_10.1007_978-3-319-19324-3 http://dx.doi.org/10.1007/978-3-319-19324-3
http___dx.doi.org_10.1007_978-3-319-19324-3_32 http://dx.doi.org/10.1007/978-3-319-19324-3_32
conf/isat/PalkaZW17 Active Protocol Discoverer Based on Grammatical Evolution
DariuszPalka.html
MarekZachara.html
KrzysztofWojcik.html
http___dx.doi.org_10.1007_978-3-319-67220-5_9 http://dx.doi.org/10.1007/978-3-319-67220-5_9
Palmer:2008:CS Relative Referenced Genetic Programming
JohnMPalmer.html
http___www.complex-systems.com_pdf_17-4-2.pdf http://www.complex-systems.com/pdf/17-4-2.pdf
http___www.complex-systems.com_abstracts_v17_i04_a02.html http://www.complex-systems.com/abstracts/v17_i04_a02.html
Palmer:2011:GECCO Evolved neurogenesis and synaptogenesis for robotic control: the L-brain model
MichaelEPalmer.html
http___dx.doi.org_10.1145_2001576.2001780 http://dx.doi.org/10.1145/2001576.2001780
Palmers:2009:DATE Massively multi-topology sizing of analog integrated circuits
PieterPalmers.html
TrentMcConaghy.html
MichielSteyaert.html
GeorgesGEGielen.html
http___trent.st_content_2009_DATE_mojito_tapas.pdf http://trent.st/content/2009_DATE_mojito_tapas.pdf
http___dx.doi.org_10.1109_DATE.2009.5090756 http://dx.doi.org/10.1109/DATE.2009.5090756
Palotti:2010:JIDM Estimating the Credibility of Examples in Automatic Document Classification
JoaoPalotti.html
ThiagoCunhadeMouraSalles.html
GiseleLPappa.html
FilipedeLimaArcanjo.html
MarcosAndreGoncalves.html
WagnerMeira.html
http___seer.lcc.ufmg.br_index.php_jidm_article_view_85 http://seer.lcc.ufmg.br/index.php/jidm/article/view/85
http___dblp.uni-trier.de_rec_bib_journals_jidm_PalottiSPAGM10 http://dblp.uni-trier.de/rec/bib/journals/jidm/PalottiSPAGM10
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.615.5177 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.615.5177
http___seer.lcc.ufmg.br_index.php_jidm_article_download_85_33_ http://seer.lcc.ufmg.br/index.php/jidm/article/download/85/33/
Palotti:2011:ADCwGP Assessing Documents' Credibility with Genetic Programming
JoaoPalotti.html
ThiagoCunhadeMouraSalles.html
GiseleLPappa.html
MarcosAndreGoncalves.html
WagnerMeira.html
http___dx.doi.org_10.1109_CEC.2011.5949619 http://dx.doi.org/10.1109/CEC.2011.5949619
Pampara:2008:ijcnn CIlib: A Collaborative Framework for Computational Intelligence Algorithms - Part I
GaryPampara.html
AndriesPEngelbrecht.html
TheunsCloete.html
http___dx.doi.org_10.1109_IJCNN.2008.4634035 http://dx.doi.org/10.1109/IJCNN.2008.4634035
Pan:2013:EAAI Improving semi-empirical equations of ultimate bearing capacity of shallow foundations using soft computing polynomials
Chan-PingPan.html
Hsing-ChihTsai.html
Yong-HuangLin.html
http___dx.doi.org_10.1016_j.engappai.2012.08.014 http://dx.doi.org/10.1016/j.engappai.2012.08.014
http___www.sciencedirect.com_science_article_pii_S0952197612002151 http://www.sciencedirect.com/science/article/pii/S0952197612002151
oai:arXiv.org:1403.0623 Global solar irradiation prediction using a multi-gene genetic programming approach
IndranilPan.html
DayaShankarPandey.html
SaptarshiDas.html
http___arxiv.org_abs_1403.0623 http://arxiv.org/abs/1403.0623
http___scitation.aip.org_content_aip_journal_jrse_5_6_10.1063_1.4850495 http://scitation.aip.org/content/aip/journal/jrse/5/6/10.1063/1.4850495
http___dx.doi.org_10.1063_1.4850495 http://dx.doi.org/10.1063/1.4850495
Pan:2015:CSF When Darwin meets Lorenz: Evolving new chaotic attractors through genetic programming
IndranilPan.html
SaptarshiDas.html
http___dx.doi.org_10.1016_j.chaos.2015.03.017 http://dx.doi.org/10.1016/j.chaos.2015.03.017
Pan:2016:FPT Incorporating uncertainty in data driven regression models of fluidized bed gasification: A Bayesian approach
IndranilPan.html
DayaShankarPandey.html
http___dx.doi.org_10.1016_j.fuproc.2015.10.027 http://dx.doi.org/10.1016/j.fuproc.2015.10.027
http___www.sciencedirect.com_science_article_pii_S0378382015302149 http://www.sciencedirect.com/science/article/pii/S0378382015302149
PAN:2018:AMM Evolving chaos: Identifying new attractors of the generalised Lorenz family
IndranilPan.html
SaptarshiDas.html
http___dx.doi.org_10.1016_j.apm.2018.01.015 http://dx.doi.org/10.1016/j.apm.2018.01.015
http___www.sciencedirect.com_science_article_pii_S0307904X18300271 http://www.sciencedirect.com/science/article/pii/S0307904X18300271
Pan:2011:ITJ Multi-objective Optimization of RFID Network Based on Genetic Programming
WeijiePan.html
ShaoboLi.html
QingshengXie.html
GuanciYang.html
http___docsdrive.com_pdfs_ansinet_itj_2011_2427-2433.pdf http://docsdrive.com/pdfs/ansinet/itj/2011/2427-2433.pdf
http___dx.doi.org_10.3923_itj.2011.2427.2433 http://dx.doi.org/10.3923/itj.2011.2427.2433
journals/apin/Pan12 The use of genetic programming for the construction of a financial management model in an enterprise
Wen-TsaoPan.html
http___dx.doi.org_10.1007_s10489-010-0259-7 http://dx.doi.org/10.1007/s10489-010-0259-7
PAN:2019:JCP Influential factors of carbon emissions intensity in OECD countries: evidence from symbolic regression
XiongfengPan.html
MdKamalUddin.html
BoweiAi.html
XianyouPan.html
http___www.sciencedirect.com_science_article_pii_S0959652619305943 http://www.sciencedirect.com/science/article/pii/S0959652619305943
http___dx.doi.org_10.1016_j.jclepro.2019.02.195 http://dx.doi.org/10.1016/j.jclepro.2019.02.195
DBLP:journals/jca/PanR06 Artificial Evolution of Arbitrary Self-Replicating Structures
ZhijianPan.html
JamesAReggia.html
http___www.oldcitypublishing.com_journals_jca-home_jca-issue-contents_jca-volume-1-number-2-2006_jca-1-2-p-105-123_ http://www.oldcitypublishing.com/journals/jca-home/jca-issue-contents/jca-volume-1-number-2-2006/jca-1-2-p-105-123/
http___www.oldcitypublishing.com_pdf_878 http://www.oldcitypublishing.com/pdf/878
Zhijian_Pan:thesis Artificial Evolution of Arbitrary Self-Replicating Cellular Automata
ZhijianPan.html
http___hdl.handle.net_1903_7404 http://hdl.handle.net/1903/7404
http___drum.lib.umd.edu_bitstream_handle_1903_7404_umi-umd-4824.pdf http://drum.lib.umd.edu/bitstream/handle/1903/7404/umi-umd-4824.pdf
Pan:2010:AL Computational Discovery of Instructionless Self-Replicating Structures in Cellular Automata
ZhijianPan.html
JamesAReggia.html
http___dx.doi.org_10.1162_artl.2009.16.1.16104 http://dx.doi.org/10.1162/artl.2009.16.1.16104
oai:CiteSeerPSU:569236 Computational Intelligence based analysis of dMRI, for Detection of Spinal Bone Marrow Malignancies
GeorgiaPanagi.html
LiaAMoulopoulos.html
GeorgiosDounias.html
ThomasMaris.html
EvangeliaPanourgias.html
AthanasiosDTsakonas.html
MeletiosADimopoulos.html
http___www2.ba.aegean.gr_members_tsakonas_Paris2002.pdf http://www2.ba.aegean.gr/members/tsakonas/Paris2002.pdf
http___citeseer.ist.psu.edu_569236.html http://citeseer.ist.psu.edu/569236.html
PANAHIZADEH:2021:TSEP Evaluation of machine learning-based applications in forecasting the performance of single effect absorption chiller network
FarshadPanahizadeh.html
MahdiHamzehei.html
MahmoodFarzaneh-Gord.html
AlvaroAntonioOchoaVilla.html
http___dx.doi.org_10.1016_j.tsep.2021.101087 http://dx.doi.org/10.1016/j.tsep.2021.101087
https___www.sciencedirect.com_science_article_pii_S2451904921002481 https://www.sciencedirect.com/science/article/pii/S2451904921002481
panait:2003:gecco Methods for Evolving Robust Programs
LiviuPanait.html
SeanLuke.html
http___cs.gmu.edu__lpanait_papers_panait03methods.pdf http://cs.gmu.edu/~lpanait/papers/panait03methods.pdf
http___dx.doi.org_10.1007_3-540-45110-2_66 http://dx.doi.org/10.1007/3-540-45110-2_66
Panait:ABC:gecco2004 Alternative Bloat Control Methods
LiviuPanait.html
SeanLuke.html
http___dx.doi.org_10.1007_b98645 http://dx.doi.org/10.1007/b98645
http___cs.gmu.edu__lpanait_papers_panait04alternative.pdf http://cs.gmu.edu/~lpanait/papers/panait04alternative.pdf
Panait:2004:AL Learning Ant Foraging Behaviors
LiviuPanait.html
SeanLuke.html
http___www.cs.gmu.edu__sean_papers_panait04learning.pdf http://www.cs.gmu.edu/~sean/papers/panait04learning.pdf
http___ieeexplore.ieee.org_xpl_articleDetails.jsp_tp__arnumber_6278777 http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6278777
http___dx.doi.org_10.7551_mitpress_1429.003.0097 http://dx.doi.org/10.7551/mitpress/1429.003.0097
Panda:2014:PMS Comparative Evaluation of Optimization Algorithms at Training of Genetic Programming for Tensile Strength Prediction of FDM Processed Part
BiranchiNarayanPanda.html
MVARajuBahubalendruni.html
BibhutiBhusanBiswal.html
http___dx.doi.org_10.1016_j.mspro.2014.07.441 http://dx.doi.org/10.1016/j.mspro.2014.07.441
http___www.sciencedirect.com_science_article_pii_S2211812814008062 http://www.sciencedirect.com/science/article/pii/S2211812814008062
Panda:2016:Measurement Empirical investigation of environmental characteristic of 3-D additive manufacturing process based on slice thickness and part orientation
BiranchiNarayanPanda.html
AkhilGarg.html
KShankhwar.html
http___dx.doi.org_10.1016_j.measurement.2016.03.006 http://dx.doi.org/10.1016/j.measurement.2016.03.006
http___www.sciencedirect.com_science_article_pii_S0263224116001615 http://www.sciencedirect.com/science/article/pii/S0263224116001615
PANDA:2018:Measurement Experimental and numerical modelling of mechanical properties of 3D printed honeycomb structures
BiranchiNarayanPanda.html
MarcoLeite.html
BibhutiBhusanBiswal.html
XiaodongNiu.html
AkhilGarg.html
http___dx.doi.org_10.1016_j.measurement.2017.11.037 http://dx.doi.org/10.1016/j.measurement.2017.11.037
http___www.sciencedirect.com_science_article_pii_S0263224117307467 http://www.sciencedirect.com/science/article/pii/S0263224117307467
panda:2019:JoIM Evaluation of genetic programming-based models for simulating bead dimensions in wire and arc additive manufacturing
BiranchiNarayanPanda.html
KShankhwar.html
AkhilGarg.html
MMSavalani.html
http___link.springer.com_article_10.1007_s10845-016-1282-2 http://link.springer.com/article/10.1007/s10845-016-1282-2
http___dx.doi.org_10.1007_s10845-016-1282-2 http://dx.doi.org/10.1007/s10845-016-1282-2
Panda:2021:CEC Genetic Programming with Algebraic Simplification for Dynamic Job Shop Scheduling
SaiPanda.html
YiMei.html
http___dx.doi.org_10.1109_CEC45853.2021.9505010 http://dx.doi.org/10.1109/CEC45853.2021.9505010
Panda:2022:evocop Simplifying Dispatching Rules in Genetic Programming for Dynamic Job Shop Scheduling
SaiPanda.html
YiMei.html
MengjieZhang.html
http___dx.doi.org_10.1007_978-3-031-04148-8_7 http://dx.doi.org/10.1007/978-3-031-04148-8_7
Pandey2009215 Knowledge and intelligent computing system in medicine
BabitaPandey.html
RaviBhushanMishra.html
http___dx.doi.org_10.1016_j.compbiomed.2008.12.008 http://dx.doi.org/10.1016/j.compbiomed.2008.12.008
http___www.sciencedirect.com_science_article_B6T5N-4VJJWDS-1_2_3c5a8e0a42f247cb4a50089d88c54009 http://www.sciencedirect.com/science/article/B6T5N-4VJJWDS-1/2/3c5a8e0a42f247cb4a50089d88c54009
Pandey:2015:BT Multi-gene genetic programming based predictive models for municipal solid waste gasification in a fluidized bed gasifier
DayaShankarPandey.html
IndranilPan.html
SaptarshiDas.html
JamesJLeahy.html
WitoldKwapinski.html
http___dx.doi.org_10.1016_j.biortech.2014.12.048 http://dx.doi.org/10.1016/j.biortech.2014.12.048
http___www.sciencedirect.com_science_article_pii_S0960852414017933 http://www.sciencedirect.com/science/article/pii/S0960852414017933
Pandey:2012:ICCIC Detecting phishing e-mails using text and data mining
MayankPandey.html
VadlamaniRavi.html
http___dx.doi.org_10.1109_ICCIC.2012.6510259 http://dx.doi.org/10.1109/ICCIC.2012.6510259
pandyaworayan:2002:gecco:workshop Time Series Prediction Using a Recursive Algorithm of a Combination of Genetic Programming and Constant Optimization
WitthayaPanyaworayan.html
GeorgWuetschner.html
pandyaworayan_2002_MENDEL Time series prediction using a recursive algorithm of a combination of genetic programming and constant optimization
WitthayaPanyaworayan.html
GeorgWuetschner.html
http___forschung.unibw-muenchen.de_ainfo.php__id_418 http://forschung.unibw-muenchen.de/ainfo.php?&id=418
pandyaworayan_2002_MENDELfu Time Series Prediction Using a Recursive Algorithm of a Combination of Genetic Programming and Constant Optimization
WitthayaPanyaworayan.html
GeorgWuetschner.html
http___factaee.elfak.ni.ac.yu_fu2k22_11wp.pdf http://factaee.elfak.ni.ac.yu/fu2k22/11wp.pdf
conf/micai/PaniaguaFC07 A Genetic Representation for Dynamic System Qualitative Models on Genetic Programming: A Gene Expression Programming Approach
RamiroSerratoPaniagua.html
JuanJFlores.html
CarlosArtemioCoelloCoello.html
http___delta.cs.cinvestav.mx__ccoello_conferences_ramiro-micai2007.pdf.gz http://delta.cs.cinvestav.mx/~ccoello/conferences/ramiro-micai2007.pdf.gz
http___dx.doi.org_10.1007_978-3-540-76631-5_4 http://dx.doi.org/10.1007/978-3-540-76631-5_4
Pantridge:2016:GECCOcomp Evolution of Layer Based Neural Networks: Preliminary Report
EdwardRPantridge.html
LeeSpector.html
http___dx.doi.org_10.1145_2908961.2931664 http://dx.doi.org/10.1145/2908961.2931664
Pantridge:2017:GECCO PyshGP: PushGP in Python
EdwardRPantridge.html
LeeSpector.html
http___doi.acm.org_10.1145_3067695.3082468 http://doi.acm.org/10.1145/3067695.3082468
http___dx.doi.org_10.1145_3067695.3082468 http://dx.doi.org/10.1145/3067695.3082468
Pantridge:2017:GECCOa On the Difficulty of Benchmarking Inductive Program Synthesis Methods
EdwardRPantridge.html
ThomasHelmuth.html
NicholasFreitagMcPhee.html
LeeSpector.html
http___doi.acm.org_10.1145_3067695.3082533 http://doi.acm.org/10.1145/3067695.3082533
http___dx.doi.org_10.1145_3067695.3082533 http://dx.doi.org/10.1145/3067695.3082533
Spector:2019:GPTP Comparison of Linear Genome Representations For Software Synthesis
EdwardRPantridge.html
ThomasHelmuth.html
LeeSpector.html
http___dx.doi.org_10.1007_978-3-030-39958-0_13 http://dx.doi.org/10.1007/978-3-030-39958-0_13
Pantridge:2020:GECCO Code Building Genetic Programming
EdwardRPantridge.html
LeeSpector.html
https___arxiv.org_abs_2008.03649 https://arxiv.org/abs/2008.03649
https___doi.org_10.1145_3377930.3390239 https://doi.org/10.1145/3377930.3390239
http___dx.doi.org_10.1145_3377930.3390239 http://dx.doi.org/10.1145/3377930.3390239
pantridge:2022:GECCO Functional Code Building Genetic Programming
EdwardRPantridge.html
ThomasHelmuth.html
LeeSpector.html
https___arxiv.org_abs_2206.04561 https://arxiv.org/abs/2206.04561
http___dx.doi.org_10.1145_3512290.3528866 http://dx.doi.org/10.1145/3512290.3528866
https___vimeo.com_723973432 https://vimeo.com/723973432
https___github.com_erp12_cbgp-lite https://github.com/erp12/cbgp-lite
pantridge:2023:GECCO Solving Novel Program Synthesis Problems with Genetic Programming Using Parametric Polymorphism
EdwardRPantridge.html
ThomasHelmuth.html
http___dx.doi.org_10.1145_3583131.3590502 http://dx.doi.org/10.1145/3583131.3590502
Papa:2020:GECCOcomp Dynamic Control Parameter Choices in Evolutionary Computation: GECCO 2020 Tutorial
GregorPapa.html
CarolaDoerr.html
https___doi.org_10.1145_3377929.3389876 https://doi.org/10.1145/3377929.3389876
http___dx.doi.org_10.1145_3377929.3389876 http://dx.doi.org/10.1145/3377929.3389876
Papa:2015:ieeeIGARSS Unsupervised land-cover classification through hyper-heuristic-based Harmony Search
JoaoPauloPapa.html
LucienePatriciPapa.html
RodrigoJosePisani.html
DanilloRobertoPereira.html
http___dx.doi.org_10.1109_IGARSS.2015.7325699 http://dx.doi.org/10.1109/IGARSS.2015.7325699
Papa:2016:ieeeAEORS A Hyperheuristic Approach for Unsupervised Land-Cover Classification
JoaoPauloPapa.html
LucienePatriciPapa.html
DanilloRobertoPereira.html
RodrigoJosePisani.html
http___dx.doi.org_10.1109_JSTARS.2016.2557584 http://dx.doi.org/10.1109/JSTARS.2016.2557584
journals/prl/PapaRP17 A binary-constrained Geometric Semantic Genetic Programming for feature selection purposes
JoaoPauloPapa.html
GustavoRosa.html
LucienePatriciPapa.html
http___www.sciencedirect.com_science_article_pii_S0167865517303641 http://www.sciencedirect.com/science/article/pii/S0167865517303641
http___dx.doi.org_10.1016_j.patrec.2017.10.002 http://dx.doi.org/10.1016/j.patrec.2017.10.002
oai:CiteSeerPSU:560410 Combined Use Of Genetic Programming And Decomposition Techniques For The Induction Of Generalized Approximate Throughput Formulas In Short Exponential Production Lines With Buffers
ChrissoleonTPapadopoulos.html
AthanasiosDTsakonas.html
GeorgiosDounias.html
http___decision.fme.aegean.gr_members_tsakonas_ICCIE-2002-040401.pdf http://decision.fme.aegean.gr/members/tsakonas/ICCIE-2002-040401.pdf
http___citeseer.ist.psu.edu_560410.html http://citeseer.ist.psu.edu/560410.html
Papamokos200912210 Location of amide I mode of vibration in computed data utilizing constructed neural networks
GVPapamokos.html
IoannisGTsoulos.html
INDemetropoulos.html
EuripidisGlavas.html
http___dx.doi.org_10.1016_j.eswa.2009.04.065 http://dx.doi.org/10.1016/j.eswa.2009.04.065
http___www.sciencedirect.com_science_article_B6V03-4W7YXRH-8_2_8b2abdb610b86ac95a3dfdbcef3d5a88 http://www.sciencedirect.com/science/article/B6V03-4W7YXRH-8/2/8b2abdb610b86ac95a3dfdbcef3d5a88
Papatheocharous:2010:ICEIS A Genetic Programming approach to Software Cost Modeling and Estimation
EfiPapatheocharous.html
AngelaLIasonos.html
AndreasSAndreou.html
http___ktisis.cut.ac.cy_jspui_handle_10488_3843 http://ktisis.cut.ac.cy/jspui/handle/10488/3843
http___dx.doi.org_10.5220_0002911602810287 http://dx.doi.org/10.5220/0002911602810287
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DanieleMPapetti.html
AndreaTangherloni.html
DavideFarinati.html
PaoloCazzaniga.html
LeonardoVanneschi.html
http___dx.doi.org_10.1109_MCI.2022.3222096 http://dx.doi.org/10.1109/MCI.2022.3222096
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DanieleMPapetti.html
VascoCoelho.html
http___dx.doi.org_10.1109_CIBCB56990.2023.10264902 http://dx.doi.org/10.1109/CIBCB56990.2023.10264902
pappa:2004:ecml Towards a genetic programming algorithm for automatically evolving rule induction algorithms
GiseleLPappa.html
AlexAlvesFreitas.html
http___www.ke.informatik.tu-darmstadt.de_events_ECML-PKDD-04-WS_Proceedings_pappa.pdf http://www.ke.informatik.tu-darmstadt.de/events/ECML-PKDD-04-WS/Proceedings/pappa.pdf
http___www.cs.kent.ac.uk_pubs_2004_2023 http://www.cs.kent.ac.uk/pubs/2004/2023
DBLP:conf/ecml/PappaF06 Automatically Evolving Rule Induction Algorithms
GiseleLPappa.html
AlexAlvesFreitas.html
http___dx.doi.org_10.1007_11871842_34 http://dx.doi.org/10.1007/11871842_34
Pappa:thesis Automatically Evolving Rule Induction Algorithms with Grammar-based Genetic Programming
GiseleLPappa.html
http___ethos.bl.uk_OrderDetails.do_uin_uk.bl.ethos.445792 http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.445792
series/springer/PappaF08 Discovering New Rule Induction Algorithms with Grammar-based Genetic Programming
GiseleLPappa.html
AlexAlvesFreitas.html
http___dx.doi.org_10.1007_978-0-387-69935-6_6 http://dx.doi.org/10.1007/978-0-387-69935-6_6
Pappa:2009:KIS Evolving rule induction algorithms with multi-objective grammar-based genetic programming
GiseleLPappa.html
AlexAlvesFreitas.html
http___dx.doi.org_10.1007_s10115-008-0171-1 http://dx.doi.org/10.1007/s10115-008-0171-1
pappa:2009a Automatically evolving rule induction algorithms tailored to the prediction of postsynaptic activity in proteins
GiseleLPappa.html
AlexAlvesFreitas.html
https___kar.kent.ac.uk_id_eprint_24096 https://kar.kent.ac.uk/id/eprint/24096
http___dx.doi.org_10.3233_IDA-2009-0366 http://dx.doi.org/10.3233/IDA-2009-0366
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GiseleLPappa.html
AlexAlvesFreitas.html
http___dx.doi.org_10.1007_978-3-642-02541-9 http://dx.doi.org/10.1007/978-3-642-02541-9
Pappa:2009:GPEM Michael Affenzeller, Stefan Wagner, Stephan Winkler and Andreas Beham: Genetic algorithms and genetic programming modern concepts and practical applications
GiseleLPappa.html
http___dx.doi.org_10.1007_s10710-009-9095-0 http://dx.doi.org/10.1007/s10710-009-9095-0
Pappa:2013:GPEM Contrasting meta-learning and hyper-heuristic research: the role of evolutionary algorithms
GiseleLPappa.html
GabrielaOchoa.html
MatthewRHyde.html
AlexAlvesFreitas.html
JohnRWoodward.html
JerrySwan.html
http___dx.doi.org_10.1007_s10710-013-9186-9 http://dx.doi.org/10.1007/s10710-013-9186-9
Pappa:2015:GECCOcomp GECCO Companion '15: Proceedings of the Companion Publication of the 2015 Annual Conference on Genetic and Evolutionary Computation
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http___dl.acm.org_citation.cfm_id_2739480 http://dl.acm.org/citation.cfm?id=2739480
http___dx.doi.org_10.1145_2739482 http://dx.doi.org/10.1145/2739482
Pappa:2016:GECCOcomp GECCO '16 Companion: Proceedings of the 2016 on Genetic and Evolutionary Computation Conference Companion
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MarkusWagner.html
JohnRWoodward.html
DanielRTauritz.html
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DejanTusar.html
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StephaneDoncieux.html
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RichardDuro.html
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GunesKayacik.html
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JustynaPetke.html
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HandingWang.html
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https___dl.acm.org_citation.cfm_id_2908961 https://dl.acm.org/citation.cfm?id=2908961
http___dx.doi.org_10.1145_2908961 http://dx.doi.org/10.1145/2908961
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GiseleLPappa.html
Pappa:2023:GP EuroGP 2023: Proceedings of the 26th European Conference on Genetic Programming
GiseleLPappa.html
MarioGiacobini.html
ZdenekVasicek.html
https___link.springer.com_book_10.1007_978-3-031-29573-7 https://link.springer.com/book/10.1007/978-3-031-29573-7
http___dx.doi.org_10.1007_978-3-031-29573-7 http://dx.doi.org/10.1007/978-3-031-29573-7
10.1371/journal.pone.0158230 A Novel, Unbiased Analysis Approach for Investigating Population Dynamics: A Case Study on Calanus finmarchicus and Its Decline in the North Sea
DannyJPapworth.html
SimoneMarini.html
AlessandraConversi.html
https___doi.org_10.1371_journal.pone.0158230 https://doi.org/10.1371/journal.pone.0158230
http___journals.plos.org_plosone_article_file_id_10.1371_journal.pone.0158230_type_printable http://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0158230&type=printable
http___dx.doi.org_10.1371_journal.pone.0158230 http://dx.doi.org/10.1371/journal.pone.0158230
Parada:2013:CEC Automatic Generation of Algorithms for the Binary Knapsack Problem
LucasPradenasParada.html
MauricioSepulveda.html
CarlosHerrera.html
VictorParada.html
http___dx.doi.org_10.1109_CEC.2013.6557954 http://dx.doi.org/10.1109/CEC.2013.6557954
PARAMANIK:2022:AG Symbolic regression-based allometric model development of a mangrove forest LAI using structural variables and digital hemispherical photography
SomnathParamanik.html
MukundaDevBehera.html
JDash.html
http___dx.doi.org_10.1016_j.apgeog.2022.102649 http://dx.doi.org/10.1016/j.apgeog.2022.102649
https___www.sciencedirect.com_science_article_pii_S0143622822000200 https://www.sciencedirect.com/science/article/pii/S0143622822000200
Paraschiv:2015:ICSTCC Feedforward process control of a distillation column based on evolutionary techniques
NicolaeParaschiv.html
MariusOlteanu.html
http___dx.doi.org_10.1109_ICSTCC.2015.7321380 http://dx.doi.org/10.1109/ICSTCC.2015.7321380
Parasuraman:thesis Hydrologic prediction using pattern recognition and soft-computing techniques
KambanParasuraman.html
http___library2.usask.ca_theses_available_etd-08172007-165636_unrestricted_Thesis_KP_CGSR_ETD.pdf http://library2.usask.ca/theses/available/etd-08172007-165636/unrestricted/Thesis_KP_CGSR_ETD.pdf
KambanParasuraman09282007 Estimating Saturated Hydraulic Conductivity Using Genetic Programming
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AminElshorbagy.html
BingChengSi.html
http___soil.scijournals.org_cgi_reprint_soilsci_71_6_1676.pdf http://soil.scijournals.org/cgi/reprint/soilsci;71/6/1676.pdf
http___dx.doi.org_10.2136_sssaj2006.0396 http://dx.doi.org/10.2136/sssaj2006.0396
Parasuraman:2007:HSJ Modelling the dynamics of the evapotranspiration process using genetic programming
KambanParasuraman.html
AminElshorbagy.html
SeanKCarey.html
http___www.tandfonline.com_doi_abs_10.1623_hysj.52.3.563 http://www.tandfonline.com/doi/abs/10.1623/hysj.52.3.563
http___dx.doi.org_10.1623_hysj.52.3.563 http://dx.doi.org/10.1623/hysj.52.3.563
Parasuraman:2008:WRR Toward improving the reliability of hydrologic prediction: Model structure uncertainty and its quantification using ensemble-based genetic programming framework,
KambanParasuraman.html
AminElshorbagy.html
http___www.agu.org_pubs_crossref_2008_2007WR006451.shtml http://www.agu.org/pubs/crossref/2008/2007WR006451.shtml
http___dx.doi.org_10.1029_2007WR006451 http://dx.doi.org/10.1029/2007WR006451
Parejo2011 Metaheuristic optimization frameworks: a survey and benchmarking
JoseAntonioParejo.html
AntonioRuiz-Cortes.html
SebastianLozano.html
PabloFernandez.html
http___dx.doi.org_10.1007_s00500-011-0754-8 http://dx.doi.org/10.1007/s00500-011-0754-8
http___dx.doi.org_10.1007_s00500-011-0754-8 http://dx.doi.org/10.1007/s00500-011-0754-8
Parent:2001:WSEAS Evolving Compression preprocessors with genetic programming
JohanParent.html
parent:2002:gecco Evolving Compression Preprocessors With Genetic Programming
JohanParent.html
AnnNowe.html
http___gpbib.cs.ucl.ac.uk_gecco2002_gp256.ps http://gpbib.cs.ucl.ac.uk/gecco2002/gp256.ps
http___gpbib.cs.ucl.ac.uk_gecco2002_gp256.pdf http://gpbib.cs.ucl.ac.uk/gecco2002/gp256.pdf
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_gecco2002_gecco-2002-14.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/gecco2002/gecco-2002-14.pdf
Parent:gecco05lbp Addressing the Even-n-parity problem using Compressed Linear Genetic Programming
JohanParent.html
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http___gpbib.cs.ucl.ac.uk_gecco2005lbp_papers_54-parent.pdf http://gpbib.cs.ucl.ac.uk/gecco2005lbp/papers/54-parent.pdf
parent:2005:bnaic Compressed Linear Genetic Programming: empirical parameter study on the Even-n-parity problem
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http___parallel.vub.ac.be__johan_Papers_bnaic05_abstract_final.pdf http://parallel.vub.ac.be/~johan/Papers/bnaic05_abstract_final.pdf
parent:2005:CEC Linear Genetic Programming using a compressed genotype representation
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http___parallel.vub.ac.be__johan_Papers_cec05_final.pdf http://parallel.vub.ac.be/~johan/Papers/cec05_final.pdf
http___dx.doi.org_10.1109_CEC.2005.1554822 http://dx.doi.org/10.1109/CEC.2005.1554822
Parent:thesis Study of the impact of genotype compression for Genetic programming, an application to data compression
JohanParent.html
https___cris.vub.be_en_studentthesis_study-of-the-impact-of-genotype-compression-for-genetic-programming-an-application-to-data-compression_c1db3cee-23d7-4bfe-85b5-ee9380919736_.html https://cris.vub.be/en/studentthesis/study-of-the-impact-of-genotype-compression-for-genetic-programming-an-application-to-data-compression(c1db3cee-23d7-4bfe-85b5-ee9380919736).html
oai:arXiv.org:1408.3259 Closed-loop control of an experimental mixing layer using machine learning control
VladimirParezanovic.html
ThomasDuriez.html
LaurentCordier.html
BerndRNoack.html
JoelDelville.html
Jean-PaulBonnet.html
MarcSegond.html
MarkusWAbel.html
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http___arxiv.org_abs_1408.3259 http://arxiv.org/abs/1408.3259
Parginos:2022:ISGT-Europe Interpretable data-driven solar power plant trading strategies
KonstantinosParginos.html
RicardoBessa.html
SimonCamal.html
GeorgesKariniotakis.html
http___dx.doi.org_10.1109_ISGT-Europe54678.2022.9960432 http://dx.doi.org/10.1109/ISGT-Europe54678.2022.9960432
Parhizgar:2013:JPSE Modeling of vaporization enthalpies of petroleum fractions and pure hydrocarbons using genetic programming
HosseinParhizgar.html
MohammadRezaDehghani.html
AzinEftekhari.html
http___dx.doi.org_10.1016_j.petrol.2013.10.012 http://dx.doi.org/10.1016/j.petrol.2013.10.012
http___www.sciencedirect.com_science_article_pii_S092041051300274X http://www.sciencedirect.com/science/article/pii/S092041051300274X
paris:2001:EA Applying Boosting Techniques to Genetic Programming
GregoryParis.html
DenisRobilliard.html
CyrilFonlupt.html
http___www-lil.univ-littoral.fr__fonlupt_Recherche_Publi_ea01-2.ps.gz http://www-lil.univ-littoral.fr/~fonlupt/Recherche/Publi/ea01-2.ps.gz
http___dx.doi.org_10.1007_3-540-46033-0_22 http://dx.doi.org/10.1007/3-540-46033-0_22
paris03 Genetic Programming with Boosting for Ambiguities in Regression Problems
GregoryParis.html
DenisRobilliard.html
CyrilFonlupt.html
http___dx.doi.org_10.1007_3-540-36599-0_17 http://dx.doi.org/10.1007/3-540-36599-0_17
paris:2003:EA Exploring Overfitting in Genetic Programming
GregoryParis.html
DenisRobilliard.html
CyrilFonlupt.html
http___dx.doi.org_10.1007_b96080 http://dx.doi.org/10.1007/b96080
http___dx.doi.org_10.1007_978-3-540-24621-3_22 http://dx.doi.org/10.1007/978-3-540-24621-3_22
journals/icae/ParisPN15 Automatic learning of image filters using Cartesian genetic programming
PauloCesarDonizetiParis.html
EmersonCarlosPedrino.html
MariadoCarmoNicoletti.html
http___dx.doi.org_10.3233_ICA-150482 http://dx.doi.org/10.3233/ICA-150482
Park2008108 Parallel hybrid evolutionary computation: Automatic tuning of parameters for parallel gene expression programming
Ho-HyunPark.html
AlexandreGrings.html
MarcusViniciusdosSantos.html
AlexsandroSantosSoares.html
http___dx.doi.org_10.1016_j.amc.2007.12.002 http://dx.doi.org/10.1016/j.amc.2007.12.002
http___www.sciencedirect.com_science_article_B6TY8-4R9GGNR-5_2_1b7f3e28f519ab74f07585e7e5dfaf6d http://www.sciencedirect.com/science/article/B6TY8-4R9GGNR-5/2/1b7f3e28f519ab74f07585e7e5dfaf6d
Park:2012:GECCOcomp Automatic python programming using stack-based genetic programming
Hyun-SooPark.html
Kyung-JoongKim.html
http___dx.doi.org_10.1145_2330784.2330899 http://dx.doi.org/10.1145/2330784.2330899
Park:2013:CEC Genetic Programming for Order Acceptance and Scheduling
JohnPark.html
SuNguyen.html
MengjieZhang.html
MarkJohnston.html
http___dx.doi.org_10.1109_CEC.2013.6557677 http://dx.doi.org/10.1109/CEC.2013.6557677
Park:2013:AI Evolving Stochastic Dispatching Rules for Order Acceptance and Scheduling via Genetic Programming
JohnPark.html
SuNguyen.html
MarkJohnston.html
MengjieZhang.html
http___dx.doi.org_10.1007_978-3-319-03680-9_48 http://dx.doi.org/10.1007/978-3-319-03680-9_48
http___dx.doi.org_10.1007_978-3-319-03680-9_48 http://dx.doi.org/10.1007/978-3-319-03680-9_48
conf/seal/ParkNZJ14 Enhancing Heuristics for Order Acceptance and Scheduling Using Genetic Programming
JohnPark.html
SuNguyen.html
MengjieZhang.html
MarkJohnston.html
http___dx.doi.org_10.1007_978-3-319-13563-2 http://dx.doi.org/10.1007/978-3-319-13563-2
Park:2015:EuroGP Evolving Ensembles of Dispatching Rules using Genetic Programming for Job Shop Scheduling
JohnPark.html
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MengjieZhang.html
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http___dx.doi.org_10.1007_978-3-319-16501-1_8 http://dx.doi.org/10.1007/978-3-319-16501-1_8
Park:2015:GECCOcomp A Single Population Genetic Programming based Ensemble Learning Approach to Job Shop Scheduling
JohnPark.html
SuNguyen.html
MengjieZhang.html
MarkJohnston.html
http___doi.acm.org_10.1145_2739482.2764651 http://doi.acm.org/10.1145/2739482.2764651
http___dx.doi.org_10.1145_2739482.2764651 http://dx.doi.org/10.1145/2739482.2764651
Park:2016:EuroGP Genetic Programming based Hyper-heuristics for Dynamic Job Shop Scheduling: Cooperative Coevolutionary Approaches
JohnPark.html
YiMei.html
SuNguyen.html
AaronChen.html
MengjieZhang.html
http___dx.doi.org_10.1007_978-3-319-30668-1_8 http://dx.doi.org/10.1007/978-3-319-30668-1_8
Park:2016:GECCOcomp Niching Genetic Programming based Hyper-heuristic Approach to Dynamic Job Shop Scheduling: An Investigation into Distance Metrics
JohnPark.html
YiMei.html
AaronChen.html
MengjieZhang.html
http___dx.doi.org_10.1145_2908961.2908985 http://dx.doi.org/10.1145/2908961.2908985
conf/acalci/ParkMNCZ17 Investigating the Generality of Genetic Programming Based Hyper-heuristic Approach to Dynamic Job Shop Scheduling with Machine Breakdown
JohnPark.html
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SuNguyen.html
AaronChen.html
MengjieZhang.html
http___dx.doi.org_10.1007_978-3-319-51691-2_26 http://dx.doi.org/10.1007/978-3-319-51691-2_26
Park:2018:EuroGP Investigating a Machine Breakdown Genetic Programming Approach for Dynamic Job Shop Scheduling
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AaronChen.html
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http___homepages.ecs.vuw.ac.nz__yimei_papers_EuroGP18-John.pdf http://homepages.ecs.vuw.ac.nz/~yimei/papers/EuroGP18-John.pdf
http___dx.doi.org_10.1007_978-3-319-77553-1_16 http://dx.doi.org/10.1007/978-3-319-77553-1_16
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JohnPark.html
YiMei.html
SuNguyen.html
AaronChen.html
MengjieZhang.html
http___dx.doi.org_10.1016_j.asoc.2017.11.020 http://dx.doi.org/10.1016/j.asoc.2017.11.020
park:2018:AJCAI Evolutionary Multitask Optimisation for Dynamic Job Shop Scheduling Using Niched Genetic Programming
JohnPark.html
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SuNguyen.html
AaronChen.html
MengjieZhang.html
http___link.springer.com_chapter_10.1007_978-3-030-03991-2_66 http://link.springer.com/chapter/10.1007/978-3-030-03991-2_66
http___dx.doi.org_10.1007_978-3-030-03991-2_66 http://dx.doi.org/10.1007/978-3-030-03991-2_66
Park:2013:CECa Cutting Evaluation Costs: An Investigation into Early Termination in Genetic Programming
NamyongPark.html
KangilKim.html
RI_Bob_McKay.html
https___namyongpark.github.io_papers_cec2013_earlytermination.pdf https://namyongpark.github.io/papers/cec2013_earlytermination.pdf
http___dx.doi.org_10.1109_CEC.2013.6557973 http://dx.doi.org/10.1109/CEC.2013.6557973
Park:2021:ICDE Knowledge-Based Dynamic Systems Modeling: A Case Study on Modeling River Water Quality
NamyongPark.html
MinHyeokKim.html
NguyenXuanHoai.html
RI_Bob_McKay.html
Dong-KyunKim.html
http___dx.doi.org_10.1109_ICDE51399.2021.00229 http://dx.doi.org/10.1109/ICDE51399.2021.00229
park:2008:KJCE Decision model for coagulant dosage using genetic programming and multivariate statistical analysis for coagulation/flocculation at water treatment process
SooyeePark.html
HyeonBae.html
ChangwonKim.html
http___link.springer.com_article_10.1007_s11814-008-0225-9 http://link.springer.com/article/10.1007/s11814-008-0225-9
http___dx.doi.org_10.1007_s11814-008-0225-9 http://dx.doi.org/10.1007/s11814-008-0225-9
park:1997:GPscnlp Genetic Programming Approach to Sense Clustering in Natural Language Processing
YoungJaPark.html
ManSukSong.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_gp1997_park_1997_GPscnlp.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/gp1997/park_1997_GPscnlp.pdf
DBLP:phd/basesearch/Park19a Evolving Dispatching Rules for Dynamic Job Shop Scheduling Problems using Genetic Programming
JohnPark.html
http___hdl.handle.net_10063_8186 http://hdl.handle.net/10063/8186
https___dblp.org_rec_phd_basesearch_Park19a.bib https://dblp.org/rec/phd/basesearch/Park19a.bib
parkes:2012:EuroGP Matrix Analysis of Genetic Programming Mutation
AndrewJParkes.html
EnderOzcan.html
MatthewRHyde.html
http___dx.doi.org_10.1007_978-3-642-29139-5_14 http://dx.doi.org/10.1007/978-3-642-29139-5_14
Parkins:2004:SP Genetic programming techniques for hand written digit recognition
ADParkins.html
AsokeKNandi.html
http___www.sciencedirect.com_science_article_B6V18-4D97VPC-1_2_02c6c5f13df1cd61df6f08b96e3911a4 http://www.sciencedirect.com/science/article/B6V18-4D97VPC-1/2/02c6c5f13df1cd61df6f08b96e3911a4
http___dx.doi.org_10.1016_j.sigpro.2004.07.027 http://dx.doi.org/10.1016/j.sigpro.2004.07.027
Parmentier:2019:ICTAI TPOT-SH: A Faster Optimization Algorithm to Solve the AutoML Problem on Large Datasets
LaurentParmentier.html
OlivierNicol.html
LaetitiaJourdan.html
Marie-EleonoreKessaci.html
https___dblp.org_rec_conf_ictai_ParmentierNJK19.bib https://dblp.org/rec/conf/ictai/ParmentierNJK19.bib
http___dx.doi.org_10.1109_ICTAI.2019.00072 http://dx.doi.org/10.1109/ICTAI.2019.00072
Parotkin:2018:GloSIC Information Security of IoT Wireless Segment
NikolayYParotkin.html
VyacheslavVZolotarev.html
http___dx.doi.org_10.1109_GloSIC.2018.8570144 http://dx.doi.org/10.1109/GloSIC.2018.8570144
Parque:2011:GECCOcomp Genetic network programming with changing structures for a novel stock selection model
VictorParque.html
ShingoMabu.html
KotaroHirasawa.html
http___dx.doi.org_10.1145_2001858.2001992 http://dx.doi.org/10.1145/2001858.2001992
Parque:2017:Neurocomputing A method to learn high-performing and novel product layouts and its application to vehicle design
VictorParque.html
TomoyukiMiyashita.html
http___dx.doi.org_10.1016_j.neucom.2016.12.082 http://dx.doi.org/10.1016/j.neucom.2016.12.082
http___www.sciencedirect.com_science_article_pii_S0925231217304332 http://www.sciencedirect.com/science/article/pii/S0925231217304332
Parque:2018:GECCOcomp Towards Bundling Minimal Trees in Polygonal Maps
VictorParque.html
TomoyukiMiyashita.html
http___www.human-competitive.org_sites_default_files_parque-minimal-trees-paper-1st-gecco_0.pdf http://www.human-competitive.org/sites/default/files/parque-minimal-trees-paper-1st-gecco_0.pdf
http___gecco-2018.sigevo.org_index.html_tiki-index.php_page_Workshop_Papers http://gecco-2018.sigevo.org/index.html/tiki-index.php?page=Workshop+Papers
http___dx.doi.org_10.1145_3205651.3208316 http://dx.doi.org/10.1145/3205651.3208316
Parque:2018:GECCOcomp2 On Vehicle Surrogate Learning with Genetic Programming Ensembles
VictorParque.html
TomoyukiMiyashita.html
http___dx.doi.org_10.1145_3205651.3208310 http://dx.doi.org/10.1145/3205651.3208310
http___www.human-competitive.org_sites_default_files_parque-vehicles-paper.pdf http://www.human-competitive.org/sites/default/files/parque-vehicles-paper.pdf
http___gecco-2018.sigevo.org_index.html_tiki-index.php_page_Workshop_Papers http://gecco-2018.sigevo.org/index.html/tiki-index.php?page=Workshop+Papers
http___dx.doi.org_10.1145_3205651.3208310 http://dx.doi.org/10.1145/3205651.3208310
Parque:2018:COMPSAC On Learning Fuel Consumption Prediction in Vehicle Clusters
VictorParque.html
TomoyukiMiyashita.html
http___dx.doi.org_10.1109_COMPSAC.2018.10214 http://dx.doi.org/10.1109/COMPSAC.2018.10214
Parra:2022:evoapplications Combining the Properties of Random Forest with Grammatical Evolution to Construct Ensemble Models
DanielParraRodriguez.html
AlbertoGutierrez.html
JoseManuelVelascoCabo.html
OscarGarnica.html
JoseIgnacioHidalgoPerez.html
http___dx.doi.org_10.1007_978-3-031-02462-7_5 http://dx.doi.org/10.1007/978-3-031-02462-7_5
parra:2023:GECCOcomp Modelling the Transmission Dynamics of Obesity: A Multi-Objective Approach Using Dynamic Structured Grammatical Evolution
DanielParraRodriguez.html
AlbertoGutierrez-Gallego.html
JoseManuelVelascoCabo.html
Rafael-JacintoVillanueva.html
JoseIgnacioHidalgoPerez.html
http___dx.doi.org_10.1145_3583133.3596430 http://dx.doi.org/10.1145/3583133.3596430
Parrend:2020:JSSC A Review on Complex System Engineering
PierreParrend.html
PierreCollet.html
http___dx.doi.org_10.1007_s11424-020-8275-0 http://dx.doi.org/10.1007/s11424-020-8275-0
parrott:2005:CEC Multi-objective Techniques in Genetic Programming for Evolving Classifiers
DanielParrott.html
XiaodongLi.html
VictorCiesielski.html
http___goanna.cs.rmit.edu.au__xiaodong_publications_183.pdf http://goanna.cs.rmit.edu.au/~xiaodong/publications/183.pdf
http___dx.doi.org_10.1109_CEC.2005.1554819 http://dx.doi.org/10.1109/CEC.2005.1554819
Parsaie:2017:FMI Prediction of flow discharge in compound open channels using adaptive neuro fuzzy inference system method
AbbasParsaie.html
HojjatallahYonesi.html
ShadiNajafian.html
http___dx.doi.org_10.1016_j.flowmeasinst.2016.08.013 http://dx.doi.org/10.1016/j.flowmeasinst.2016.08.013
http___www.sciencedirect.com_science_article_pii_S0955598616301157 http://www.sciencedirect.com/science/article/pii/S0955598616301157
Parsons02 Developing genetic programming techniques for the design of compliant mechanisms
RParsons.html
StephenLCanfield.html
http___delta.cs.cinvestav.mx__ccoello_EMOO_parsons02.pdf.gz http://delta.cs.cinvestav.mx/~ccoello/EMOO/parsons02.pdf.gz
http___dx.doi.org_10.1007_s00158-002-0216-0 http://dx.doi.org/10.1007/s00158-002-0216-0
parthasarathy:2023:GECCOcomp Evolving Nonlinear Multigrid Methods With Grammar-Guided Genetic Programming
DineshParthasarathy.html
JonasSchmitt.html
HaraldKoestler.html
http___dx.doi.org_10.1145_3583133.3590734 http://dx.doi.org/10.1145/3583133.3590734
Parunak:2005:esart Evolving Swarming Agents in Real Time
HVanDykeParunak.html
http___www.erim.org__vparunak_GPTP05.pdf http://www.erim.org/~vparunak/GPTP05.pdf
http___dx.doi.org_10.1007_0-387-28111-8_2 http://dx.doi.org/10.1007/0-387-28111-8_2
PARZIALE:2021:AIM Cartesian genetic programming for diagnosis of Parkinson disease through handwriting analysis: Performance vs. interpretability issues
AntonioParziale.html
RosaSenatore.html
AntonioDellaCioppa.html
AngeloMarcelli.html
http___dx.doi.org_10.1016_j.artmed.2020.101984 http://dx.doi.org/10.1016/j.artmed.2020.101984
https___www.sciencedirect.com_science_article_pii_S0933365720312495 https://www.sciencedirect.com/science/article/pii/S0933365720312495
Pascual:2001:SPIE SOFT project: a new forecasting system based on satellite data
AnandaPascual.html
AlejandroOrfila.html
AlbertoAlvarezDiaz.html
EmilioHernandez-Garcia.html
DamiaGomis.html
AlexanderBarth.html
JoaquinTintore.html
http___www.imedea.csic.es_goifis_WEB_PUBLICACIONES_downfile.php_fid_2705 http://www.imedea.csic.es/goifis/WEB/PUBLICACIONES/downfile.php?fid=2705
http___dx.doi.org_10.1117_12.452764 http://dx.doi.org/10.1117/12.452764
nhess-18-599-2018 The use of genetic programming to develop a predictor of swash excursion on sandy beaches
MarinellaPassarella.html
EvanBGoldstein.html
SandroDeMuro.html
GiovanniCoco.html
https___www.nat-hazards-earth-syst-sci.net_18_599_2018_ https://www.nat-hazards-earth-syst-sci.net/18/599/2018/
http___dx.doi.org_10.5194_nhess-18-599-2018 http://dx.doi.org/10.5194/nhess-18-599-2018
conf/csreaSAM/PastranaOR10 Modeling NIDS Evasion with Genetic Programming
SergioPastranaPortillo.html
AgustinOrfilaDiaz-Pabon.html
DArturoRibagordaGarnacho.html
http___www.seg.inf.uc3m.es_papers_2010sam.pdf http://www.seg.inf.uc3m.es/papers/2010sam.pdf
Pastrana:2011:HICSS A Functional Framework to Evade Network IDS
SergioPastranaPortillo.html
AgustinOrfilaDiaz-Pabon.html
DArturoRibagordaGarnacho.html
http___dx.doi.org_10.1109_HICSS.2011.12 http://dx.doi.org/10.1109/HICSS.2011.12
Pastrana:2012:KS Evaluation of classification algorithms for intrusion detection in MANETs
SergioPastranaPortillo.html
AikateriniMitrokotsa.html
AgustinOrfilaDiaz-Pabon.html
PedroPeris-Lopez.html
http___dx.doi.org_10.1016_j.knosys.2012.06.016 http://dx.doi.org/10.1016/j.knosys.2012.06.016
http___www.sciencedirect.com_science_article_pii_S0950705112001876 http://www.sciencedirect.com/science/article/pii/S0950705112001876
PhD_Thesis_Sergio_Pastrana Attacks Against Intrusion Detection Networks: Evasion, Reverse Engineering and Optimal Countermeasures
SergioPastranaPortillo.html
http___hdl.handle.net_10016_20020 http://hdl.handle.net/10016/20020
https___e-archivo.uc3m.es_handle_10016_20020 https://e-archivo.uc3m.es/handle/10016/20020
http___www.seg.inf.uc3m.es__spastran_phd_PhD_Thesis_Sergio_Pastrana.pdf http://www.seg.inf.uc3m.es/~spastran/phd/PhD_Thesis_Sergio_Pastrana.pdf
Patel:2020:GECCOcomp Adversarial Threats to Large Satellite Networks (ATLAS-N): A Coevolutionary Approach Based on Flipit
JayPatel.html
DhathriHSomavarapu.html
DeaconSeals.html
DanielRTauritz.html
DavideGuzzetti.html
https___doi.org_10.1145_3377929.3398133 https://doi.org/10.1145/3377929.3398133
http___dx.doi.org_10.1145_3377929.3398133 http://dx.doi.org/10.1145/3377929.3398133
Patel:2007:cec ALPS Evaluation in Financial Portfolio Optimisation
SuneerPatel.html
ChristopherDClack.html
https___discovery.ucl.ac.uk_id_eprint_13268_1_13268.pdf https://discovery.ucl.ac.uk/id/eprint/13268/1/13268.pdf
http___dx.doi.org_10.1109_CEC.2007.4424554 http://dx.doi.org/10.1109/CEC.2007.4424554
Patelli:2010:AECE Elite Based Multiobjective Genetic Programming in Nonlinear Systems Identification
AlinaPatelli.html
LaviniaFerariu.html
http___www.aece.ro_abstractplus.php_year_2010_number_1_article_17 http://www.aece.ro/abstractplus.php?year=2010&number=1&article=17
http___dx.doi.org_10.4316_AECE.2010.01017 http://dx.doi.org/10.4316/AECE.2010.01017
Patelli:2010:cec Elitist multiobjective nonlinear systems identification with insular evolution and diversity preservation
AlinaPatelli.html
LaviniaFerariu.html
http___dx.doi.org_10.1109_CEC.2010.5586212 http://dx.doi.org/10.1109/CEC.2010.5586212
Patelli:2010:IS Increasing crossover operator efficiency in multiobjective nonlinear systems identification
AlinaPatelli.html
LaviniaFerariu.html
http___dx.doi.org_10.1109_IS.2010.5548346 http://dx.doi.org/10.1109/IS.2010.5548346
Patelli:2011:ICANNGA Regressor Survival Rate Estimation for Enhanced Crossover Configuration
AlinaPatelli.html
LaviniaFerariu.html
http___dx.doi.org_10.1007_978-3-642-20282-7_30 http://dx.doi.org/10.1007/978-3-642-20282-7_30
Patelli:2011:ICAC A regressive schema theory based tool for GP evolved nonlinear models
AlinaPatelli.html
LaviniaFerariu.html
http___ieeexplore.ieee.org_xpl_articleDetails.jsp_tp__arnumber_6084927 http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6084927
2011-Patelli_Alina Genetic programming techniques for nonlinear systems identification
AlinaPatelli.html
http___www.ace.tuiasi.ro_index.php_file_2011-Patelli_Alina.pdf http://www.ace.tuiasi.ro/index.php?file=2011-Patelli_Alina.pdf
https___ac.tuiasi.ro_studii_doctorat_ https://ac.tuiasi.ro/studii/doctorat/
Patelli:2022:CEC A GENTLER Approach to Urban Traffic Modelling and Prediction
AlinaPatelli.html
JohnConnorRegoHamilton.html
VictoriaLush.html
AnikoEkart.html
http___dx.doi.org_10.1109_CEC55065.2022.9870273 http://dx.doi.org/10.1109/CEC55065.2022.9870273
paterson:1996:dgp Distinguishing Genotype and Phenotype in Genetic Programming
NormanRPaterson.html
MikeLivesey.html
ftp___ftp.dcs.st-and.ac.uk_pub_norman_GADS.ps.gz ftp://ftp.dcs.st-and.ac.uk/pub/norman/GADS.ps.gz
http___citeseer.ist.psu.edu_norman96distinguishing.html http://citeseer.ist.psu.edu/norman96distinguishing.html
Paterson:1997:ecacGP Evolving caching algorithms in C by genetic programming
NormanRPaterson.html
MikeLivesey.html
http___www.dcs.st-and.ac.uk__norman_Pubs_cache.ps.gz http://www.dcs.st-and.ac.uk/~norman/Pubs/cache.ps.gz
Paterson:2000:GECCOlb Performance Comparison in Genetic Programming
NormanRPaterson.html
MikeLivesey.html
http___www.dcs.st-and.ac.uk__norman_Pubs_PerfCompInGP.ps.gz http://www.dcs.st-and.ac.uk/~norman/Pubs/PerfCompInGP.ps.gz
paterson:thesis Genetic programming with context-sensitive grammars
NormanRPaterson.html
ftp___ftp.dcs.st-and.ac.uk_pub_norman_GPwCSG.ps.gz ftp://ftp.dcs.st-and.ac.uk/pub/norman/GPwCSG.ps.gz
http___hdl.handle.net_10023_14984 http://hdl.handle.net/10023/14984
https___research-repository.st-andrews.ac.uk_bitstream_10023_14984_2_NormanRPatersonPhDThesis.pdf https://research-repository.st-andrews.ac.uk/bitstream/10023/14984/2/NormanRPatersonPhDThesis.pdf
Pathan:2018:IOP Predicting the Strength of CFRP-steel joints using Genetic Programming
MohiuddinPathan.html
AlaaAl-Mosawe.html
RiadhAl-Mahaidi.html
http___dx.doi.org_10.1088_1757-899X_433_1_012028 http://dx.doi.org/10.1088/1757-899X/433/1/012028
Pathan:2023:Systems Comparative Analysis of Machine Learning Approaches in Enhancing Power System Stability
MdIliusHasanPathan.html
MohammadShoaibShahriar.html
MohammadMominurRahman.html
MdSanwarHossain.html
NadiaAwatif.html
MdShafiullah.html
http___dx.doi.org_10.1002_9781119893998.ch9 http://dx.doi.org/10.1002/9781119893998.ch9
https___ieeexplore.ieee.org_document_9983996 https://ieeexplore.ieee.org/document/9983996
Patil2012203 Genetic algorithm based support vector machine regression in predicting wave transmission of horizontally interlaced multi-layer moored floating pipe breakwater
SGPatil.html
SandipMandal.html
AmarnathHegde.html
http___dx.doi.org_10.1016_j.advengsoft.2011.09.026 http://dx.doi.org/10.1016/j.advengsoft.2011.09.026
http___www.sciencedirect.com_science_article_pii_S0965997811002651 http://www.sciencedirect.com/science/article/pii/S0965997811002651
PatilShinde:2016:JECE The Removal of arsenite [As(III)] and arsenate [As(V)] ions from wastewater using TFA and TAFA resins: Computational intelligence based reaction modeling and optimization
VeenaPatil-Shinde.html
KBMulani.html
KaminiDonde.html
NNChavan.html
SPonrathnam.html
SanjeevSTambe.html
http___dx.doi.org_10.1016_j.jece.2016.09.030 http://dx.doi.org/10.1016/j.jece.2016.09.030
http___www.sciencedirect.com_science_article_pii_S2213343716303517 http://www.sciencedirect.com/science/article/pii/S2213343716303517
PATILSHINDE:2018:Calphad Genetic programming based models for prediction of vapor-liquid equilibrium
VeenaPatil-Shinde.html
SanjeevSTambe.html
http___dx.doi.org_10.1016_j.calphad.2017.11.002 http://dx.doi.org/10.1016/j.calphad.2017.11.002
http___www.sciencedirect.com_science_article_pii_S0364591617301281 http://www.sciencedirect.com/science/article/pii/S0364591617301281
PATLANCARDOSO:2021:JRRAS Estimation of the central-axis-reference percent depth dose in a water phantom using artificial intelligence
FernandoPatlan-Cardoso.html
SuemiRodriguez-Romo.html
OscarIbanez-Orozco.html
KatyaRodriguez-Vazquez.html
FranciscoJavierVergara-Martinez.html
http___dx.doi.org_10.1080_16878507.2020.1857114 http://dx.doi.org/10.1080/16878507.2020.1857114
https___www.sciencedirect.com_science_article_pii_S1687850722000115 https://www.sciencedirect.com/science/article/pii/S1687850722000115
Patnaik:2016:TBS Application of genetic programming clustering in defining LOS criteria of urban street in Indian context
AshishKumarPatnaik.html
PrasantaKumarBhuyan.html
http___dx.doi.org_10.1016_j.tbs.2015.08.003 http://dx.doi.org/10.1016/j.tbs.2015.08.003
http___www.sciencedirect.com_science_article_pii_S2214367X15000277 http://www.sciencedirect.com/science/article/pii/S2214367X15000277
PATNAIK:2020:TL Entry capacity modelling of signalized roundabouts under heterogeneous traffic conditions
AshishKumarPatnaik.html
LAnkitAgarwal.html
MahabirPanda.html
PrasantaKumarBhuyan.html
http___dx.doi.org_10.1080_19427867.2018.1533160 http://dx.doi.org/10.1080/19427867.2018.1533160
https___www.sciencedirect.com_science_article_pii_S1942786722001722 https://www.sciencedirect.com/science/article/pii/S1942786722001722
DBLP:journals/ewc/PattanaikCK20 Prediction of frictional characteristics of bituminous mixes using group method of data handling and multigene symbolic genetic programming
MadhuLishaPattanaik.html
RajanChoudhary.html
BimleshKumar.html
https___doi.org_10.1007_s00366-019-00802-4 https://doi.org/10.1007/s00366-019-00802-4
http___dx.doi.org_10.1007_s00366-019-00802-4 http://dx.doi.org/10.1007/s00366-019-00802-4
https___dblp.org_rec_journals_ewc_PattanaikCK20.bib https://dblp.org/rec/journals/ewc/PattanaikCK20.bib
Pattananupong:2007:cec Genetic Programming and Neural Networks as Interpreters for a Distributive Tactile Sensing System
UPattananupong.html
PTongpadungrod.html
NacholChaiyaratana.html
http___dx.doi.org_10.1109_CEC.2007.4424996 http://dx.doi.org/10.1109/CEC.2007.4424996
Patten:2014:agddr Procedural Content Generation for Games Using Grammatical Evolution and Attribute Grammars
JamesVincentPatten.html
ConorRyan.html
http___www.amazon.co.uk_gp_product_1633214788 http://www.amazon.co.uk/gp/product/1633214788
Patten:2015:EuroGP Attributed Grammatical Evolution using Shared Memory Spaces and Dynamically Typed Semantic Function Specification
JamesVincentPatten.html
ConorRyan.html
http___dx.doi.org_10.1007_978-3-319-16501-1_9 http://dx.doi.org/10.1007/978-3-319-16501-1_9
Patten:thesis Context Sensitive Grammatical Evolution: A Novel Attribute Grammar Based Approach to the Integration of Semantics in Grammatical Evolution
JamesVincentPatten.html
http___hdl.handle.net_10344_9305 http://hdl.handle.net/10344/9305
https___ulir.ul.ie_handle_10344_9305 https://ulir.ul.ie/handle/10344/9305
https___ulir.ul.ie_bitstream_handle_10344_9305_Patten_2020_Context.pdf https://ulir.ul.ie/bitstream/handle/10344/9305/Patten_2020_Context.pdf
DBLP:conf/ausai/PattersonZ07 Fitness Functions in Genetic Programming for Classification with Unbalanced Data
GrantPatterson.html
MengjieZhang.html
http___dx.doi.org_10.1007_978-3-540-76928-6_90 http://dx.doi.org/10.1007/978-3-540-76928-6_90
Pattin:2010:GPTP Exploiting Expert Knowledge of Protein-Protein Interactions in a Computational Evolution System for Detecting Epistasis
KristineAPattin.html
JoshuaLPayne.html
DouglasPHill.html
ThomasCaldwell.html
JonathanMFisher.html
JasonHMoore.html
http___www.springer.com_computer_ai_book_978-1-4419-7746-5 http://www.springer.com/computer/ai/book/978-1-4419-7746-5
http___dx.doi.org_10.1007_978-1-4419-7747-2_12 http://dx.doi.org/10.1007/978-1-4419-7747-2_12
oai:ep.eur.nl:1765/7319 Smart Business Networks Design and Business Genetics
Louis-FrancoisPau.html
http___ssrn.com_abstract_880520 http://ssrn.com/abstract=880520
http___hdl.handle.net_1765_7319 http://hdl.handle.net/1765/7319
Paul:2020:ICICCS A Reinforcement Learning Agent based on Genetic Programming and Universal Search
SwarnaKamalPaul.html
ParamaBhaumik.html
http___dx.doi.org_10.1109_ICICCS48265.2020.9121014 http://dx.doi.org/10.1109/ICICCS48265.2020.9121014
PAUL:2018:SSI Effect of isovalent doping on grain boundary conductivity for La2Mo2O9 oxide ion conductor: A distribution function of relaxation times approach
TanmoyPaul.html
YoedTsur.html
http___dx.doi.org_10.1016_j.ssi.2018.05.011 http://dx.doi.org/10.1016/j.ssi.2018.05.011
http___www.sciencedirect.com_science_article_pii_S0167273817307348 http://www.sciencedirect.com/science/article/pii/S0167273817307348
PAUL:2019:SSI Determination of grain boundary conductivity using distribution function of relaxation times (DFRT) analysis at room temperature in 10a mol% Gd doped ceria: A non-classical electrostrictor
TanmoyPaul.html
NimrodYavo.html
IgorLubomirsky.html
YoedTsur.html
http___dx.doi.org_10.1016_j.ssi.2018.12.013 http://dx.doi.org/10.1016/j.ssi.2018.12.013
http___www.sciencedirect.com_science_article_pii_S016727381830866X http://www.sciencedirect.com/science/article/pii/S016727381830866X
Paul:2006:GPTP Genetic programming for classifying cancer data and controlling humanoid robots
ToponKumarPaul.html
HitoshiIba.html
http___dx.doi.org_10.1007_978-0-387-49650-4_4 http://dx.doi.org/10.1007/978-0-387-49650-4_4
Paul:CoG:cec2006 Classification of Gene Expression Data by Majority Voting Genetic Programming Classifier
ToponKumarPaul.html
YoshihikoHasegawa.html
HitoshiIba.html
http___www.iba.k.u-tokyo.ac.jp__topon_Papers_CEC2006.pdf http://www.iba.k.u-tokyo.ac.jp/~topon/Papers/CEC2006.pdf
http___ieeexplore.ieee.org_servlet_opac_punumber_11108 http://ieeexplore.ieee.org/servlet/opac?punumber=11108
http___dx.doi.org_10.1109_CEC.2006.1688622 http://dx.doi.org/10.1109/CEC.2006.1688622
paul:2006:cibcb Classification of scleroderma and normal biopsy data and identification of possible biomarkers of the disease
ToponKumarPaul.html
HitoshiIba.html
http___www.iba.k.u-tokyo.ac.jp__topon_Papers_CIBCB2006.pdf http://www.iba.k.u-tokyo.ac.jp/~topon/Papers/CIBCB2006.pdf
http___dx.doi.org_10.1109_CIBCB.2006.330951 http://dx.doi.org/10.1109/CIBCB.2006.330951
Paul:2007:TCBB Prediction of cancer class with majority voting genetic programming classifier using gene expression data
ToponKumarPaul.html
HitoshiIba.html
http___dx.doi.org_10.1109_TCBB.2007.70245 http://dx.doi.org/10.1109/TCBB.2007.70245
conf/isda/PaulikasR05 Flocking of Subpopulations in Distributed Genetic Programming
GiedriusPaulikas.html
DaliusRubliauskas.html
http___dx.doi.org_10.1109_ISDA.2005.46 http://dx.doi.org/10.1109/ISDA.2005.46
Paulikas:2005:ITC Movement of Flocked Subpopulations in Distributed Genetic Programming
GiedriusPaulikas.html
DaliusRubliauskas.html
http___itc.ktu.lt_itc344_Paulik344.pdf http://itc.ktu.lt/itc344/Paulik344.pdf
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.135.4481 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.135.4481
http___www.itc.ktu.lt_index.php_ITC_article_view_12030 http://www.itc.ktu.lt/index.php/ITC/article/view/12030
http___www.itc.ktu.lt_index.php_ITC_article_view_12030_6702.pdf http://www.itc.ktu.lt/index.php/ITC/article/view/12030/6702.pdf
Paulikas:thesis Adaptive Migration for the Distributed Genetic Programming
GiedriusPaulikas.html
http___en.ktu.lt_sites_default_files_2007-09-07_20giedrius_20paulikas.pdf http://en.ktu.lt/sites/default/files/2007-09-07%20giedrius%20paulikas.pdf
http___www.libis.lt_showRecordDetails.do_recordNum_1_biId_216090158_catalog_false_resId__previewUrl_undefined_epaveldas_f http://www.libis.lt/showRecordDetails.do?recordNum=1&biId=216090158&catalog=false&resId=&previewUrl=undefined&epaveldas=f
Pauplin:2004:ICARA Obstacle detection by evolutionary algorithm: The Fly Algorithm
OlivierPauplin.html
JeanLouchet.html
EvelyneLutton.html
MichelParent.html
https___hal.inria.fr_inria-00000493 https://hal.inria.fr/inria-00000493
https___hal.inria.fr_inria-00000493_en_ https://hal.inria.fr/inria-00000493/en/
Pauplin:2004:ISCIIA Applying evolutionary optimisation to robot obstacle avoidance
OlivierPauplin.html
JeanLouchet.html
EvelyneLutton.html
MichelParent.html
https___hal.inria.fr_inria-00000494_en_ https://hal.inria.fr/inria-00000494/en/
https___hal.inria.fr_inria-00000494_file_Pauplin_ISCIIA04.pdf https://hal.inria.fr/inria-00000494/file/Pauplin_ISCIIA04.pdf
Pauplin:2005:JACIII Evolutionary Optimisation for Obstacle Detection and Avoidance in Mobile Robotics
OlivierPauplin.html
JeanLouchet.html
EvelyneLutton.html
ArnauddelaFortelle.html
http___dx.doi.org_10.20965_jaciii.2005.p0622 http://dx.doi.org/10.20965/jaciii.2005.p0622
Pavai:2016:ACMsurvey A Survey on Crossover Operators
GPavai.html
TVGeetha.html
http___dx.doi.org_10.1145_3009966 http://dx.doi.org/10.1145/3009966
Pavlidis:2006:CEC Human Designed Vs. Genetically Programmed Differential Evolution Operators
NicosGPavlidis.html
VPPlagianakos.html
DimitrisKTasoulis.html
MichaelNVrahatis.html
http___imaa-dtasouli.imaa.ic.ac.uk__dtas_papers_PavlidisTPV2006.pdf http://imaa-dtasouli.imaa.ic.ac.uk/~dtas/papers/PavlidisTPV2006.pdf
http___dx.doi.org_10.1109_CEC.2006.1688536 http://dx.doi.org/10.1109/CEC.2006.1688536
Pavlidis:2007:cec Computational Intelligence Algorithms for Risk-Adjusted Trading Strategies
NicosGPavlidis.html
EfthymiosGPavlidis.html
MichaelGEpitropakis.html
VPPlagianakos.html
MichaelNVrahatis.html
http___dx.doi.org_10.1109_CEC.2007.4424517 http://dx.doi.org/10.1109/CEC.2007.4424517
PAWANR:2022:MTP Prediction of energy consumption of machine tools using multi-gene genetic programming
ShailendraPawanr.html
GirishKantGarg.html
SrikantaRoutroy.html
http___dx.doi.org_10.1016_j.matpr.2022.01.156 http://dx.doi.org/10.1016/j.matpr.2022.01.156
https___www.sciencedirect.com_science_article_pii_S2214785322001833 https://www.sciencedirect.com/science/article/pii/S2214785322001833
Pawinski:2014:FedCSIS A Developmental Genetic Approach to the cost/time trade-off in Resource Constrained Project Scheduling
GrzegorzPawinski.html
KrzysztofSapiecha.html
http___dx.doi.org_10.15439_2014F151 http://dx.doi.org/10.15439/2014F151
pawinski:2016:RACO An Efficient Solution of the Resource Constrained Project Scheduling Problem Based on an Adaptation of the Developmental Genetic Programming
GrzegorzPawinski.html
KrzysztofSapiecha.html
http___link.springer.com_chapter_10.1007_978-3-319-21133-6_12 http://link.springer.com/chapter/10.1007/978-3-319-21133-6_12
http___dx.doi.org_10.1007_978-3-319-21133-6_12 http://dx.doi.org/10.1007/978-3-319-21133-6_12
Pawlak:2014:PPSN Combining semantically-effective and geometric crossover operators for Genetic Programming
TomaszPawlak.html
http___dx.doi.org_10.1007_978-3-319-10762-2_45 http://dx.doi.org/10.1007/978-3-319-10762-2_45
Pawlak:2014:ieeeEC Semantic Backpropagation for Designing Search Operators in Genetic Programming
TomaszPawlak.html
BartoszWieloch.html
KrzysztofKrawiec.html
http___www.cs.put.poznan.pl_tpawlak__Semantic_20Backpropagation_20for_20Designing_20Search_20Operators_20in_20Genetic_20Programming_16 http://www.cs.put.poznan.pl/tpawlak/?Semantic%20Backpropagation%20for%20Designing%20Search%20Operators%20in%20Genetic%20Programming,16
http___www.cs.put.poznan.pl_tpawlak_files_research_2013SemanticBackpropagation_2013IEEE_Appendix.pdf http://www.cs.put.poznan.pl/tpawlak/files/research/2013SemanticBackpropagation/2013IEEE_Appendix.pdf
http___dx.doi.org_10.1109_TEVC.2014.2321259 http://dx.doi.org/10.1109/TEVC.2014.2321259
http___dx.doi.org_10.1109_TEVC.2014.2321259 http://dx.doi.org/10.1109/TEVC.2014.2321259
http___www.cs.put.poznan.pl_tpawlak_files_research_2013SemanticBackpropagation_Evolution-src.zip http://www.cs.put.poznan.pl/tpawlak/files/research/2013SemanticBackpropagation/Evolution-src.zip
Pawlak:2014:SMGP Guarantees of Progress for Geometric Semantic Genetic Programming
TomaszPawlak.html
KrzysztofKrawiec.html
http___www.cs.put.poznan.pl_kkrawiec_smgp2014_uploads_Site_Pawlak.pdf http://www.cs.put.poznan.pl/kkrawiec/smgp2014/uploads/Site/Pawlak.pdf
Pawlak:2015:GPEM Review and comparative analysis of geometric semantic crossovers
TomaszPawlak.html
BartoszWieloch.html
KrzysztofKrawiec.html
http___dx.doi.org_10.1007_s10710-014-9239-8 http://dx.doi.org/10.1007/s10710-014-9239-8
PawlakPhD2015 Competent Algorithms for Geometric Semantic Genetic Programming
TomaszPawlak.html
http___www.cs.put.poznan.pl_tpawlak_link__PhD http://www.cs.put.poznan.pl/tpawlak/link/?PhD
http___www.cs.put.poznan.pl_tpawlak_files_research_2015PhD_PhD_20Thesis.pdf http://www.cs.put.poznan.pl/tpawlak/files/research/2015PhD/PhD%20Thesis.pdf
Pawlak:2016:GPEM Progress properties and fitness bounds for geometric semantic search operators
TomaszPawlak.html
KrzysztofKrawiec.html
http___dx.doi.org_10.1007_s10710-015-9252-6 http://dx.doi.org/10.1007/s10710-015-9252-6
Pawlak:2016:EuroGP Geometric Semantic Genetic Programming is Overkill
TomaszPawlak.html
http___dx.doi.org_10.1007_978-3-319-30668-1_16 http://dx.doi.org/10.1007/978-3-319-30668-1_16
Pawlak2:2016:EuroGP Semantic Geometric Initialization
TomaszPawlak.html
KrzysztofKrawiec.html
http___dx.doi.org_10.1007_978-3-319-30668-1_17 http://dx.doi.org/10.1007/978-3-319-30668-1_17
Pawlak:cgsgp:EC Competent Geometric Semantic Genetic Programming for Symbolic Regression and Boolean Function Synthesis
TomaszPawlak.html
KrzysztofKrawiec.html
http___dx.doi.org_10.1162_EVCO_a_00205 http://dx.doi.org/10.1162/EVCO_a_00205
Pawlak:2017:EuroGP Synthesis of Mathematical Programming Constraints with Genetic Programming
TomaszPawlak.html
KrzysztofKrawiec.html
http___dx.doi.org_10.1007_978-3-319-55696-3_12 http://dx.doi.org/10.1007/978-3-319-55696-3_12
Pawlak:ieeeTEC Synthesis of Constraints for Mathematical Programming with One-Class Genetic Programming
TomaszPawlak.html
KrzysztofKrawiec.html
http___ieeexplore.ieee.org_stamp_stamp.jsp_tp__arnumber_8357939 http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8357939
http___dx.doi.org_10.1109_TEVC.2018.2835565 http://dx.doi.org/10.1109/TEVC.2018.2835565
journals/swevo/PawlakO21 Grammatical evolution for constraint synthesis for mixed-integer linear programming
TomaszPawlak.html
MichaelO'Neill.html
https___www.sciencedirect.com_science_article_pii_S2210650221000572 https://www.sciencedirect.com/science/article/pii/S2210650221000572
http___dx.doi.org_10.1016_j.swevo.2021.100896 http://dx.doi.org/10.1016/j.swevo.2021.100896
Payne:2009:cec Representation and Structural Biases in CGP
AndrewJPayne.html
SusanStepney.html
http___dx.doi.org_10.1109_CEC.2009.4983064 http://dx.doi.org/10.1109/CEC.2009.4983064
Pazienza:2006:CNNA Genetic Programming for the CNN-UM
GiovanniEgidioPazienza.html
EduardoGomezRamirez.html
XavierVilasisCardona.html
http___dx.doi.org_10.1109_CNNA.2006.341616 http://dx.doi.org/10.1109/CNNA.2006.341616
Pazienza:2007:ECCTD An Automatic Tool to Design CNN-Um Programs
GiovanniEgidioPazienza.html
KristofKaracs.html
XavierVilasisCardona.html
http___dx.doi.org_10.1109_ECCTD.2007.4529640 http://dx.doi.org/10.1109/ECCTD.2007.4529640
pazos:1996:dprANNdtGA Detection of Patterns in Radiographs using ANN Designed and Trained with the Genetic Algorithm
AlejandroPazosSierra.html
JulianDorado.html
AntoninoSantosdelRiego.html
http___cognet.mit.edu_sites_default_files_books_9780262315876_pdfs_9780262315876_chap71.pdf http://cognet.mit.edu/sites/default/files/books/9780262315876/pdfs/9780262315876_chap71.pdf
http___cognet.mit.edu_library_books_view_isbn_0262611279 http://cognet.mit.edu/library/books/view?isbn=0262611279
PazosPerez_RafaelIvan_TD_2017 Blurring the boundaries between real and artificial in architecture and urban design through the use of artificial intelligence
RafaelIvanPazosPerez.html
https___ruc.udc.es_dspace_handle_2183_19688 https://ruc.udc.es/dspace/handle/2183/19688
http___hdl.handle.net_2183_19688 http://hdl.handle.net/2183/19688
https___ruc.udc.es_dspace_bitstream_handle_2183_19688_PazosPerez_RafaelIvan_TD_2017.pdf https://ruc.udc.es/dspace/bitstream/handle/2183/19688/PazosPerez_RafaelIvan_TD_2017.pdf
conf/aaai/PeabodyS15 GEF: A Self-Programming Robot Using Grammatical Evolution
CharlesPeabody.html
JenniferSeitzer.html
http___www.aaai.org_Library_AAAI_aaai15contents.php http://www.aaai.org/Library/AAAI/aaai15contents.php
http___www.aaai.org_ocs_index.php_AAAI_AAAI15_paper_view_9558_9729 http://www.aaai.org/ocs/index.php/AAAI/AAAI15/paper/view/9558/9729
Peakin:2001:Sunday-Times Creative computer can invent to order
WilliamPeakin.html
Pebriadi:2016:ICACSIS Learning similarity functions for binary strings via genetic programming
MSPebriadi.html
VDewanto.html
WAKusuma.html
FMAfendi.html
RHeryanto.html
http___dx.doi.org_10.1109_ICACSIS.2016.7872773 http://dx.doi.org/10.1109/ICACSIS.2016.7872773
Pedemonte:thesis Systolic genetic search, a parallel metaheuristic for GPUs
MartinPedemonte.html
https___hdl.handle.net_20.500.12008_20365 https://hdl.handle.net/20.500.12008/20365
https___www.colibri.udelar.edu.uy_jspui_bitstream_20.500.12008_20365_1_td-mpedemonte.pdf https://www.colibri.udelar.edu.uy/jspui/bitstream/20.500.12008/20365/1/td-mpedemonte.pdf
Pedersen:thesis Towards Automatic Controller Design using Multi-Objective Evolutionary Algorithms
GerulfKMPedersen.html
http___vbn.aau.dk_en_publications_towards-automatic-controller-design-using-multiobjective-evolutionary-algorithms_284c103100-f596-11da-9980-000ea68e967b_29.html http://vbn.aau.dk/en/publications/towards-automatic-controller-design-using-multiobjective-evolutionary-algorithms%284c103100-f596-11da-9980-000ea68e967b%29.html
http___vbn.aau.dk_files_501667_thesis.pdf http://vbn.aau.dk/files/501667/thesis.pdf
Pedrino:2010:SPL Architecture for binary mathematical morphology reconfigurable by genetic programming
EmersonCarlosPedrino.html
JoseHirokiSaito.html
ValentinObacRoda.html
http___dx.doi.org_10.1109_SPL.2010.5483033 http://dx.doi.org/10.1109/SPL.2010.5483033
Pedrino:2010:IPDPSW Reconfigurable architecture for mathematical morphology using genetic programming and FPGAs
EmersonCarlosPedrino.html
OsmarOgashawara.html
ValentinObacRoda.html
http___dx.doi.org_10.1109_IPDPSW.2010.5470739 http://dx.doi.org/10.1109/IPDPSW.2010.5470739
Pedrino:2011:IJRC A Genetic Programming Approach to Reconfigure a Morphological Image Processing Architecture
EmersonCarlosPedrino.html
JoseHirokiSaito.html
ValentinObacRoda.html
http___downloads.hindawi.com_journals_ijrc_2011_712494.pdf http://downloads.hindawi.com/journals/ijrc/2011/712494.pdf
http___dx.doi.org_10.1155_2011_712494 http://dx.doi.org/10.1155/2011/712494
Pedrino:2011:ISDA Automatic construction of image operators using a genetic programming approach
EmersonCarlosPedrino.html
JoseHirokiSaito.html
EdilsonRRKato.html
OridesMorandinJr.html
LuisMarianodelValCura.html
ValentinObacRoda.html
MarioLuizTronco.html
RobertoHideakiTsunaki.html
http___dx.doi.org_10.1109_ISDA.2011.6121727 http://dx.doi.org/10.1109/ISDA.2011.6121727
journals/icae/PedrinoRKSTTMN13 A genetic programming based system for the automatic construction of image filters
EmersonCarlosPedrino.html
ValentinObacRoda.html
EdilsonRRKato.html
JoseHirokiSaito.html
MarioLuizTronco.html
RobertoHideakiTsunaki.html
OridesMorandinJr.html
MariadoCarmoNicoletti.html
http___dx.doi.org_10.3233_ICA-130429 http://dx.doi.org/10.3233/ICA-130429
http___dx.doi.org_10.3233_ICA-130429 http://dx.doi.org/10.3233/ICA-130429
Pedrino:2013:SMC A Binary Morphology-Based Clustering Algorithm Directed by Genetic Algorithm
EmersonCarlosPedrino.html
MariadoCarmoNicoletti.html
JoseHirokiSaito.html
LuisMarianodelValCura.html
ValentinObacRoda.html
http___dx.doi.org_10.1109_SMC.2013.76 http://dx.doi.org/10.1109/SMC.2013.76
Pedrino:2017:GPEM Software review: CGP-Library
EmersonCarlosPedrino.html
PauloCesarDonizetiParis.html
DenisPereiradeLima.html
ValentinObacRoda.html
https___rdcu.be_cyoSH https://rdcu.be/cyoSH
http___dx.doi.org_10.1007_s10710-017-9303-2 http://dx.doi.org/10.1007/s10710-017-9303-2
Pedrino:2018:PE A Novel Methodology for Automated Generation of Flexible Hardware Architectures
EmersonCarlosPedrino.html
IgorFelipeGallon.html
FredyJoaoValente.html
MarcioMerinoFernandes.html
OsmarOgashawara.html
ValentinObacRoda.html
http___www.red.pe.org.pl_issue.php_lang_1_num_04_2018 http://www.red.pe.org.pl/issue.php?lang=1&num=04/2018
http___www.red.pe.org.pl_articles_2018_4_5.pdf http://www.red.pe.org.pl/articles/2018/4/5.pdf
http___dx.doi.org_10.15199_48.2018.04.05 http://dx.doi.org/10.15199/48.2018.04.05
PEDRINO:2019:ASC Islanding detection of distributed generation by using multi-gene genetic programming based classifier
EmersonCarlosPedrino.html
ThiagoYamada.html
ThiagoReginatoLunardi.html
JoseCarlosdeMeloVieira.html
http___dx.doi.org_10.1016_j.asoc.2018.10.016 http://dx.doi.org/10.1016/j.asoc.2018.10.016
http___www.sciencedirect.com_science_article_pii_S1568494618305738 http://www.sciencedirect.com/science/article/pii/S1568494618305738
Pedrino:2019:ICAE A multiobjective metaheuristic approach for morphological filters on many-core architectures
EmersonCarlosPedrino.html
DenisPereiradeLima.html
GianlucaTempesti.html
http___dx.doi.org_10.3233_ICA-190607 http://dx.doi.org/10.3233/ICA-190607
pedrycz:2001:gecco Evolutionary Optimization of Logic-Oriented Systems
WitoldPedrycz.html
MarekReformat.html
http___gpbib.cs.ucl.ac.uk_gecco2001_d24.pdf http://gpbib.cs.ucl.ac.uk/gecco2001/d24.pdf
peeler:2022:GECCOcomp Optimizing LLVM Pass Sequences with Shackleton: A Linear Genetic Programming Framework
HannahPeeler.html
ShuyueStellaLi.html
AndrewNSloss.html
KennethReid.html
YuanYuan.html
WolfgangBanzhaf.html
http___dx.doi.org_10.1145_3520304.3528945 http://dx.doi.org/10.1145/3520304.3528945
https___github.com_ARM-software_Shackleton-Framework https://github.com/ARM-software/Shackleton-Framework
peeler2022optimizing Optimizing LLVM Pass Sequences with Shackleton: A Linear Genetic Programming Framework
HannahPeeler.html
ShuyueStellaLi.html
AndrewNSloss.html
KennethNReid.html
YuanYuan.html
WolfgangBanzhaf.html
https___arxiv.org_abs_2201.13305 https://arxiv.org/abs/2201.13305
https___github.com_ARM-software_Shackleton-Framework https://github.com/ARM-software/Shackleton-Framework
Pei:2018:AJCAI Genetic Programming Based on Granular Computing for Classification with High-Dimensional Data
WenbinPei.html
BingXue.html
LinShang.html
MengjieZhang.html
http___link.springer.com_chapter_10.1007_978-3-030-03991-2_58 http://link.springer.com/chapter/10.1007/978-3-030-03991-2_58
http___dx.doi.org_10.1007_978-3-030-03991-2_58 http://dx.doi.org/10.1007/978-3-030-03991-2_58
Pei:2019:GECCOcomp Reuse of program trees in genetic programming with a new fitness function in high-dimensional unbalanced classification
WenbinPei.html
BingXue.html
LinShang.html
MengjieZhang.html
http___dx.doi.org_10.1145_3319619.3321958 http://dx.doi.org/10.1145/3319619.3321958
Pei:2019:CEC New Fitness Functions in Genetic Programming for Classification with High-dimensional Unbalanced Data
WenbinPei.html
BingXue.html
LinShang.html
MengjieZhang.html
http___dx.doi.org_10.1109_CEC.2019.8789974 http://dx.doi.org/10.1109/CEC.2019.8789974
Pei:2019:SSCI A Cost-sensitive Genetic Programming Approach for High-dimensional Unbalanced Classification
WenbinPei.html
BingXue.html
MengjieZhang.html
LinShang.html
http___dx.doi.org_10.1109_SSCI44817.2019.9003041 http://dx.doi.org/10.1109/SSCI44817.2019.9003041
Pei:2020:GECCOcomp A Genetic Programming Method for Classifier Construction and Cost Learning in High-Dimensional Unbalanced Classification
WenbinPei.html
BingXue.html
LinShang.html
MengjieZhang.html
https___doi.org_10.1145_3377929.3389955 https://doi.org/10.1145/3377929.3389955
http___dx.doi.org_10.1145_3377929.3389955 http://dx.doi.org/10.1145/3377929.3389955
Pei:2020:CEC A Threshold-free Classification Mechanism in Genetic Programming for High-dimensional Unbalanced Classification
WenbinPei.html
BingXue.html
LinShang.html
MengjieZhang.html
http___dx.doi.org_10.1109_CEC48606.2020.9185503 http://dx.doi.org/10.1109/CEC48606.2020.9185503
Pei:SoftComput Genetic programming for high-dimensional imbalanced classification with a new fitness function and program reuse mechanism
WenbinPei.html
BingXue.html
LinShang.html
MengjieZhang.html
http___dx.doi.org_10.1007_s00500-020-05056-7 http://dx.doi.org/10.1007/s00500-020-05056-7
Pei:2021:GECCO Genetic Programming for Borderline Instance Detection in High-dimensional Unbalanced Classification
WenbinPei.html
BingXue.html
LinShang.html
MengjieZhang.html
http___dx.doi.org_10.1145_3449639.3459284 http://dx.doi.org/10.1145/3449639.3459284
Pei:2021:CIM Developing Interval-Based Cost-Sensitive Classifiers by Genetic Programming for Binary High-Dimensional Unbalanced Classification [Research Frontier]
WenbinPei.html
BingXue.html
LinShang.html
MengjieZhang.html
http___dx.doi.org_10.1109_MCI.2020.3039070 http://dx.doi.org/10.1109/MCI.2020.3039070
PEI:2021:ASC Genetic programming for development of cost-sensitive classifiers for binary high-dimensional unbalanced classification
WenbinPei.html
BingXue.html
LinShang.html
MengjieZhang.html
http___dx.doi.org_10.1016_j.asoc.2020.106989 http://dx.doi.org/10.1016/j.asoc.2020.106989
https___www.sciencedirect.com_science_article_pii_S1568494620309285 https://www.sciencedirect.com/science/article/pii/S1568494620309285
Pei:2022:EC High-dimensional Unbalanced Binary Classification by Genetic Programming with Multi-criterion Fitness Evaluation and Selection
WenbinPei.html
BingXue.html
LinShang.html
MengjieZhang.html
http___dx.doi.org_10.1162_evco_a_00304 http://dx.doi.org/10.1162/evco_a_00304
Pei:ieeeTEC Detecting Overlapping Areas in Unbalanced High-dimensional Data Using Neighborhood Rough Set and Genetic Programming
WenbinPei.html
BingXue.html
LinShang.html
MengjieZhang.html
http___dx.doi.org_10.1109_TEVC.2022.3203862 http://dx.doi.org/10.1109/TEVC.2022.3203862
Pei:2022:IEEEAccess Fast Shielding Optimization of an Inductive Power Transfer System for Electric Vehicles
YaoPei.html
LionelPichon.html
YannLeBihan.html
MohamedBensetti.html
PhilippeDessante.html
http___dx.doi.org_10.1109_ACCESS.2022.3198953 http://dx.doi.org/10.1109/ACCESS.2022.3198953
Peled:2016:RV Using Genetic Programming for Software Reliability
DoronAPeled.html
http___dx.doi.org_10.1007_978-3-319-46982-9_8 http://dx.doi.org/10.1007/978-3-319-46982-9_8
Peled:2016:RVtutorial Using Genetic Programming for Software Reliability
DoronAPeled.html
https___rv2016.imag.fr_wp-content_uploads_2016_09_Tutorial-Peled.pdf https://rv2016.imag.fr/wp-content/uploads/2016/09/Tutorial-Peled.pdf
Peled:2016:ISoLA Automatic Synthesis of Code Using Genetic Programming
DoronAPeled.html
http___dx.doi.org_10.1007_978-3-319-47166-2_12 http://dx.doi.org/10.1007/978-3-319-47166-2_12
Peleteiro:2010:ECMS EPMAS: Evolutionary Programming Multi-Agent Systems
AnaMPeleteiro.html
JuanCBurguilloRial.html
ZuzanaOplatkova.html
IvanZelinka.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.462.6848 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.462.6848
http___www.scs-europe.net_conf_ecms2010_2010_20accepted_20papers_abs_ECMS2010_0031.pdf http://www.scs-europe.net/conf/ecms2010/2010%20accepted%20papers/abs_ECMS2010_0031.pdf
Pelikan:1997:rlcGP Read's linear codes and genetic programming
MartinPelikan.html
VladimirKvasnicka.html
JiriPospichal.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_gp1997_Pelikan_1997_rlcGP.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/gp1997/Pelikan_1997_rlcGP.pdf
Pelikan:2011:GECCOcomp Probabilistic model-building genetic algorithms
MartinPelikan.html
http___dx.doi.org_10.1145_2001858.2002120 http://dx.doi.org/10.1145/2001858.2002120
MECE2005-79414R3 Turbomachinery Performance Models
RobertJPelton.html
DavidJapikse.html
DanielMaynes.html
KerryNOliphant.html
http___www.conceptseti.com_pdf_IMECE2005-79414R3.pdf http://www.conceptseti.com/pdf/IMECE2005-79414R3.pdf
eurogp06:PeltzerTeredesauReinard AQUAGP: Approximate QUery Answers Using Genetic Programming
JasonBPeltzer.html
AnkurMTeredesai.html
GarrettReinard.html
http___dx.doi.org_10.1007_11729976_5 http://dx.doi.org/10.1007/11729976_5
Peluso:2015:PP A Statistical Analysis of the Scaling Laws for the Confinement Time Distinguishing between Core and Edge
EmmanuelePeluso.html
MichelaGelfusa.html
AndreaMurari.html
ILupelli.html
PGaudio.html
http___dx.doi.org_10.1016_j.phpro.2015.02.020 http://dx.doi.org/10.1016/j.phpro.2015.02.020
http___www.sciencedirect.com_science_article_pii_S1875389215000516 http://www.sciencedirect.com/science/article/pii/S1875389215000516
Pena20091204 Capacity estimation of a minihydro plant based on time series forecasting
RafaelPena.html
JAurelioMedinaRios.html
OlimpoAnaya-Lara.html
JamesRMcDonald.html
http___dx.doi.org_10.1016_j.renene.2008.10.011 http://dx.doi.org/10.1016/j.renene.2008.10.011
http___www.sciencedirect.com_science_article_B6V4S-4V2J6H4-9_2_3250c20a2dc9495f0c8007094d7364fa http://www.sciencedirect.com/science/article/B6V4S-4V2J6H4-9/2/3250c20a2dc9495f0c8007094d7364fa
Pena:2010:DisGen Capacity Estimation Methods Applied to Mini Hydro Plants
RafaelPena.html
JAurelioMedinaRios.html
http___www.intechopen.com_articles_show_title_capacity-estimation-methods-applied-to-mini-hydro-plants http://www.intechopen.com/articles/show/title/capacity-estimation-methods-applied-to-mini-hydro-plants
http___dx.doi.org_10.5772_8891 http://dx.doi.org/10.5772/8891
Pena-Reyes:2000:AIM Evolutionary computation in medicine: an overview
CarlosAndresPena-Reyes.html
MosheSipper.html
http___citeseer.ist.psu.edu_cache_papers_cs_20656_http_zSzzSzlslwww.epfl.chzSz_penhazSzdocszSzevomed.sent.pdf_evolutionary-computation-in-medicine.pdf http://citeseer.ist.psu.edu/cache/papers/cs/20656/http:zSzzSzlslwww.epfl.chzSz~penhazSzdocszSzevomed.sent.pdf/evolutionary-computation-in-medicine.pdf
http___citeseer.ist.psu.edu_417223.html http://citeseer.ist.psu.edu/417223.html
http___www.sciencedirect.com_science_article_B6T4K-4019B7H-1_2_6ecdbd2dd9650bb279d44e49b9f26fcd http://www.sciencedirect.com/science/article/B6T4K-4019B7H-1/2/6ecdbd2dd9650bb279d44e49b9f26fcd
http___dx.doi.org_10.1016_S0933-3657_99_00047-0 http://dx.doi.org/10.1016/S0933-3657(99)00047-0
Penaloza-Mejia:2017:GECCO GP-based Motion Control Design for the Double-integrator System Subject to Velocity Constraint
OllinPenaloza-Mejia.html
EddieHelbertClementeTorres.html
MarlenMeza-Sanchez.html
CynthiaBPerez.html
FranciscoChavezdelaO.html
http___doi.acm.org_10.1145_3067695.3076094 http://doi.acm.org/10.1145/3067695.3076094
http___dx.doi.org_10.1145_3067695.3076094 http://dx.doi.org/10.1145/3067695.3076094
PENALOZAMEJIA:2019:EAAI Evolving behaviors for bounded-flow tracking control of second-order dynamical systems
OllinPenaloza-Mejia.html
EddieHelbertClementeTorres.html
MarlenMeza-Sanchez.html
CynthiaBPerez.html
http___dx.doi.org_10.1016_j.engappai.2018.10.001 http://dx.doi.org/10.1016/j.engappai.2018.10.001
http___www.sciencedirect.com_science_article_pii_S0952197618302069 http://www.sciencedirect.com/science/article/pii/S0952197618302069
Peng:2021:CIM Multi-View Feature Construction Using Genetic Programming for Rolling Bearing Fault Diagnosis [Application Notes]
BoPeng.html
YingBi.html
BingXue.html
MengjieZhang.html
ShutingWan.html
http___dx.doi.org_10.1109_MCI.2021.3084495 http://dx.doi.org/10.1109/MCI.2021.3084495
Peng:Cybernetics Automatic Feature Extraction and Construction Using Genetic Programming for Rotating Machinery Fault Diagnosis
BoPeng.html
ShutingWan.html
YingBi.html
BingXue.html
MengjieZhang.html
https___yingbi92.github.io_homepage_2021_EFLGP.pdf https://yingbi92.github.io/homepage/2021/EFLGP.pdf
https___ieeexplore.ieee.org_abstract_document_9271873 https://ieeexplore.ieee.org/abstract/document/9271873
http___dx.doi.org_10.1109_TCYB.2020.3032945 http://dx.doi.org/10.1109/TCYB.2020.3032945
Bo_Peng:2022:Algorithms A Survey on Fault Diagnosis of Rolling Bearings
BoPeng.html
YingBi.html
BingXue.html
MengjieZhang.html
ShutingWan.html
https___www.mdpi.com_1999-4893_15_10_347 https://www.mdpi.com/1999-4893/15/10/347
http___dx.doi.org_10.3390_a15100347 http://dx.doi.org/10.3390/a15100347
Peng:2022:DDCLS A Quality Prediction Hybrid Model of Manufacturing Process Based on Genetic Programming
ChongPeng.html
ZhijianCheng.html
HongruRen.html
RenquanLu.html
http___dx.doi.org_10.1109_DDCLS55054.2022.9858371 http://dx.doi.org/10.1109/DDCLS55054.2022.9858371
PENG:2020:AST Parameter-correlation study on shock-shock interaction using a machine learning method
JPeng.html
CTLuo.html
ZJHan.html
ZMHu.html
GLHan.html
ZLJiang.html
http___dx.doi.org_10.1016_j.ast.2020.106247 http://dx.doi.org/10.1016/j.ast.2020.106247
https___www.sciencedirect.com_science_article_pii_S1270963820309299 https://www.sciencedirect.com/science/article/pii/S1270963820309299
peng:2022:EuroRadiology Automatic machine learning based on native T1 mapping can identify myocardial fibrosis in patients with hypertrophic cardiomyopathy
Wan-LinPeng.html
Tian-JingZhang.html
KeShi.html
Hai-XiaLi.html
YingLi.html
SenHe.html
ChenLi.html
DongXia.html
Chun-ChaoXia.html
Zhen-LinLi.html
http___dx.doi.org_10.1007_s00330-021-08228-7 http://dx.doi.org/10.1007/s00330-021-08228-7
Peng:2006:GPTP Comparison of Robustness of Three Filter Design Strategies Using Genetic Programming and Bond Graphs
XiangdongPeng.html
ErikGoodman.html
RonaldCRosenberg.html
http___dx.doi.org_10.1007_978-0-387-49650-4_13 http://dx.doi.org/10.1007/978-0-387-49650-4_13
Peng:2007:GPTP Robust engineering design of electronic circuits with active components using genetic programming and bond Graphs
XiangdongPeng.html
ErikGoodman.html
RonaldCRosenberg.html
http___dx.doi.org_10.1007_978-0-387-76308-8_11 http://dx.doi.org/10.1007/978-0-387-76308-8_11
journals/jcp/PengLYH14 Parameter Estimation Algorithm for Storm Intensity Model with Single Return Period Based on Multicellular Gene Expression Programming
Yu-zhongPeng.html
JieLi.html
Chang-anYuan.html
BaoqinHu.html
http___dx.doi.org_10.4304_jcp.9.9.2132-2138 http://dx.doi.org/10.4304/jcp.9.9.2132-2138
journals/ijon/PengYQHS14 An improved Gene Expression Programming approach for symbolic regression problems
Yu-zhongPeng.html
Chang-anYuan.html
XiaoQin.html
JiangtaoHuang.html
YaBingShi.html
https___www.sciencedirect.com_science_article_pii_S0925231214002598 https://www.sciencedirect.com/science/article/pii/S0925231214002598
http___dx.doi.org_10.1016_j.neucom.2013.05.062 http://dx.doi.org/10.1016/j.neucom.2013.05.062
journals/ijcisys/PengZZLQLLL19 An Extreme Learning Machine and Gene Expression Programming-Based Hybrid Model for Daily Precipitation Prediction
Yu-zhongPeng.html
HuashengZhao.html
HaoZhang.html
WenweiLi.html
XiaoQin.html
JianpingLiao.html
ZhipingLiu.html
JieLi.html
http___dx.doi.org_10.2991_ijcis.d.191126.001 http://dx.doi.org/10.2991/ijcis.d.191126.001
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Yu-zhongPeng.html
ChuyanDeng.html
HongYaLi.html
DaoqingGong.html
XiaoQin.html
LiCai.html
http___dx.doi.org_10.1007_978-3-030-26969-2_8 http://dx.doi.org/10.1007/978-3-030-26969-2_8
Peng:2021:BMCGenomics GEP-EpiSeeker: a gene expression programming-based method for epistatic interaction detection in genome-wide association studies
Yu-zhongPeng.html
YanmeiLin.html
YiranHuang.html
YingLi.html
GuangshengLuo.html
JianpingLiao.html
https___rdcu.be_dACO6 https://rdcu.be/dACO6
http___dx.doi.org_10.1186_s12864-021-08207-8 http://dx.doi.org/10.1186/s12864-021-08207-8
Peng:2022:AppliedIntelligence An automatic hyperparameter optimization DNN model for precipitation prediction
Yu-zhongPeng.html
DaoqingGong.html
ChuyanDeng.html
HongyaLi.html
HongguoCai.html
HaoZhang.html
http___dx.doi.org_10.1007_s10489-021-02507-y http://dx.doi.org/10.1007/s10489-021-02507-y
IJCIS3105 Deductive and Inductive Methods for Program Synthesis
JaanPenjam.html
JelenaSanko.html
http___www.cs.ioc.ee__jaan_Papers_IJCIS_IJCIS3105.pdf http://www.cs.ioc.ee/~jaan/Papers/IJCIS/IJCIS3105.pdf
Pennachin:2010:gecco Robust symbolic regression with affine arithmetic
CassioPennachin.html
MosheLooks.html
JoaoAntoniodeVasconcelos.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.308.3201 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.308.3201
http___dx.doi.org_10.1145_1830483.1830648 http://dx.doi.org/10.1145/1830483.1830648
Pennachin:2011:GPTP Improved Time Series Prediction and Symbolic Regression with Affine Arithmetic
CassioPennachin.html
MosheLooks.html
JoaoAntoniodeVasconcelos.html
http___dx.doi.org_10.1007_978-1-4614-1770-5_6 http://dx.doi.org/10.1007/978-1-4614-1770-5_6
pereira:1999:GBCCSBBP Graph Based Crossover-A Case Study with the Busy Beaver Problem
FranciscoJoseBaptistaPereira.html
PenousalMachado.html
ErnestoCosta.html
FAmilcarCardoso.html
http___gpbib.cs.ucl.ac.uk_gecco1999_GP-429.pdf http://gpbib.cs.ucl.ac.uk/gecco1999/GP-429.pdf
http___gpbib.cs.ucl.ac.uk_gecco1999_GP-429.ps http://gpbib.cs.ucl.ac.uk/gecco1999/GP-429.ps
Pereira:2018:GECCOcomp Crude oil refinery scheduling: addressing a real-world multiobjective problem through genetic programming and dominance-based approaches
CristianeSalgadoPereira.html
DouglasMotaDias.html
MarleyMariaBernardesRebuzziVellasco.html
FranciscoHenriqueFViana.html
LuisMarti.html
http___dx.doi.org_10.1145_3205651.3208291 http://dx.doi.org/10.1145/3205651.3208291
Pereira:2020:SYST Quantum-Inspired Genetic Programming Algorithm for the Crude Oil Scheduling of a Real-World Refinery
CSPereira.html
DouglasMotaDias.html
MarcoAurelioCavalcantiPacheco.html
MarleyMariaBernardesRebuzziVellasco.html
AndreVargasAbsdaCruz.html
EHHollmann.html
http___dx.doi.org_10.1109_JSYST.2020.2968039 http://dx.doi.org/10.1109/JSYST.2020.2968039
pereira:2023:IAM A Multi-Objective Decomposition Optimization Method for Refinery Crude Oil Scheduling through Genetic Programming
CristianeSalgadoPereira.html
DouglasMotaDias.html
LuisMarti.html
MarleyMariaBernardesRebuzziVellasco.html
http___dx.doi.org_10.1145_3583133.3596313 http://dx.doi.org/10.1145/3583133.3596313
Pereira:2006:CIARP Guiding a Bottom-Up Visual Attention Mechanism to Locate Specific Image Regions Using a Distributed Genetic Optimization
EanesTPereira.html
HermanMGomes.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.584.8447 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.584.8447
http___dx.doi.org_10.1007_11892755_26 http://dx.doi.org/10.1007/11892755_26
Pereira:2016:CSCI Geostatistical Data Fusion: Application to Red Edge Bands of Sentinel 2
MariaJoaoPereira.html
AlairaRamos.html
RubenNunes.html
LeonardoAzevedo.html
AmilcarSoares.html
http___dx.doi.org_10.1109_CSCI.2016.0147 http://dx.doi.org/10.1109/CSCI.2016.0147
Pereira:2020:RS Remote sensing Estimating Water pH Using Cloud-Based Landsat Images for a New Classification of the Nhecolandia Lakes (Brazilian Pantanal)
OsvaldoPereira.html
EderMerino.html
CeliaMontes.html
LaurentBarbiero.html
AryRezende-Filho.html
YvesLucas.html
AdolphoMelfi.html
https___hal.archives-ouvertes.fr_hal-02528909 https://hal.archives-ouvertes.fr/hal-02528909
https___hal.archives-ouvertes.fr_hal-02528909_document https://hal.archives-ouvertes.fr/hal-02528909/document
https___hal.archives-ouvertes.fr_hal-02528909_file_55_20-_20RemoteSensing-2020.pdf https://hal.archives-ouvertes.fr/hal-02528909/file/55%20-%20RemoteSensing-2020.pdf
https___www.mdpi.com_2072-4292_12_7_1090_pdf https://www.mdpi.com/2072-4292/12/7/1090/pdf
http___dx.doi.org_10.3390_rs12071090 http://dx.doi.org/10.3390/rs12071090
Pereira:2021:ESA Multi-objective Grammatical Evolution of Decision Trees for Mobile Marketing user conversion prediction
PedroJosePereira.html
PauloCortez.html
RuiMendes.html
https___www.sciencedirect.com_science_article_pii_S0957417420309891 https://www.sciencedirect.com/science/article/pii/S0957417420309891
https___pypi.org_project_cane_ https://pypi.org/project/cane/
http___dx.doi.org_10.1016_j.eswa.2020.114287 http://dx.doi.org/10.1016/j.eswa.2020.114287
Peretta:2015:EuroGP Proposal and Preliminary Investigation of a Fitness Function for Partial Differential Models
IgorSantosPeretta.html
KeijiYamanaka.html
PaulBourgine.html
PierreCollet.html
http___dx.doi.org_10.1007_978-3-319-16501-1_15 http://dx.doi.org/10.1007/978-3-319-16501-1_15
phd/hal/SantosPeretta15 Evolution of differential models for concrete complex systems through genetic programming
IgorSantosPeretta.html
https___tel.archives-ouvertes.fr_tel-01332289 https://tel.archives-ouvertes.fr/tel-01332289
https___tel.archives-ouvertes.fr_tel-01332289_document https://tel.archives-ouvertes.fr/tel-01332289/document
https___tel.archives-ouvertes.fr_tel-01332289_file_Santos-Peretta_Igor_2015_ED269.pdf https://tel.archives-ouvertes.fr/tel-01332289/file/Santos-Peretta_Igor_2015_ED269.pdf
Perez:2008:ICAS Embodied Evolution with a New Genetic Programming Variation Algorithm
AndersonLuizFernandesPerez.html
GuilhermeBittencourt.html
MauroRoisenberg.html
http___dx.doi.org_10.1109_ICAS.2008.31 http://dx.doi.org/10.1109/ICAS.2008.31
Perez:thesis Extensao da Programacao Genetica Distribuida para Suportar a Evolucao do Sistema de Controle em uma Populacao de Robes Moveis
AndersonLuizFernandesPerez.html
http___www.dominiopublico.gov.br_pesquisa_DetalheObraForm.do_select_action__co_obra_199590 http://www.dominiopublico.gov.br/pesquisa/DetalheObraForm.do?select_action=&co_obra=199590
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CynthiaBPerez.html
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http___dx.doi.org_10.1109_ICPR.2008.4761178 http://dx.doi.org/10.1109/ICPR.2008.4761178
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CynthiaBPerez.html
GustavoOlague.html
http___dx.doi.org_10.1007_978-3-642-01129-0_46 http://dx.doi.org/10.1007/978-3-642-01129-0_46
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CynthiaBPerez.html
GustavoOlague.html
http___dx.doi.org_10.1145_1569901.1570043 http://dx.doi.org/10.1145/1569901.1570043
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CynthiaBPerez.html
http___biblioteca.cicese.mx_catalogo_tesis_ficha.php_id_18586 http://biblioteca.cicese.mx/catalogo/tesis/ficha.php?id=18586
http___biblioteca.cicese.mx_catalogos_Ftesis_PerezCastro_thesis.pdf http://biblioteca.cicese.mx/catalogos/Ftesis/PerezCastro_thesis.pdf
journals/ida/PerezO13 Genetic programming as strategy for learning image descriptor operators
CynthiaBPerez.html
GustavoOlague.html
http___dx.doi.org_10.3233_IDA-130594 http://dx.doi.org/10.3233/IDA-130594
perez:evoapps11 Evolving Behaviour Trees for the Mario AI Competition Using Grammatical Evolution
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MiguelNicolau.html
MichaelO'Neill.html
AnthonyBrabazon.html
http___dx.doi.org_10.1007_978-3-642-20525-5_13 http://dx.doi.org/10.1007/978-3-642-20525-5_13
Perez:2011:CIG Reactiveness and Navigation in Computer Games: Different Needs, Different Approaches
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MiguelNicolau.html
MichaelO'Neill.html
AnthonyBrabazon.html
http___cilab.sejong.ac.kr_cig2011_proceedings_CIG2011_papers_paper62.pdf http://cilab.sejong.ac.kr/cig2011/proceedings/CIG2011/papers/paper62.pdf
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MonicaMiguelez.html
JuanRamonRabunalDopico.html
FernandoMartinezAbella.html
http___dx.doi.org_10.1007_978-3-540-88309-8_46 http://dx.doi.org/10.1007/978-3-540-88309-8_46
Perez20103452 Optimal adjustment of EC-2 shear formulation for concrete elements without web reinforcement using Genetic Programming
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AntoniCladeraBohigas.html
JuanRamonRabunalDopico.html
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http___dx.doi.org_10.1016_j.engstruct.2010.07.006 http://dx.doi.org/10.1016/j.engstruct.2010.07.006
http___www.sciencedirect.com_science_article_B6V2Y-50TYH2X-1_2_715d665c31d9157a5e00ad7e43279a8e http://www.sciencedirect.com/science/article/B6V2Y-50TYH2X-1/2/715d665c31d9157a5e00ad7e43279a8e
Perez201282 Optimization of existing equations using a new Genetic Programming algorithm: Application to the shear strength of reinforced concrete beams
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JuanRamonRabunalDopico.html
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http___dx.doi.org_10.1016_j.advengsoft.2012.02.008 http://dx.doi.org/10.1016/j.advengsoft.2012.02.008
http___www.sciencedirect.com_science_article_pii_S0965997812000397 http://www.sciencedirect.com/science/article/pii/S0965997812000397
conf/iwann/PerezVRA13 Genetic Programming to Improvement FIB Model - Bond and Anchorage of Reinforcing Steel in Structural Concrete
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IsmaelVieito.html
JuanRamonRabunalDopico.html
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http___dx.doi.org_10.1007_978-3-642-38679-4 http://dx.doi.org/10.1007/978-3-642-38679-4
http___dx.doi.org_10.1007_978-3-642-38679-4_46 http://dx.doi.org/10.1007/978-3-642-38679-4_46
Perez:2021:ICPC Bug or not bug? That is the question
QuentinPerez.html
Pierre-AntoineJean.html
ChristelleUrtado.html
SylvainVauttier.html
http___dx.doi.org_10.1109_ICPC52881.2021.00014 http://dx.doi.org/10.1109/ICPC52881.2021.00014
Perez-Godoy:2010:ijcnn A preliminary study on mutation operators in cooperative competitive algorithms for RBFN design
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AntonioJesusRiveraRivas.html
CristobalJoseCarmonadelJesus.html
MariaJosedelJesus.html
http___dx.doi.org_10.1109_IJCNN.2010.5596330 http://dx.doi.org/10.1109/IJCNN.2010.5596330
Perez-Liebana:2018:hbge Evolving Behaviour Tree Structures Using Grammatical Evolution
DiegoPerez-Liebana.html
MiguelNicolau.html
http___dx.doi.org_10.1007_978-3-319-78717-6_18 http://dx.doi.org/10.1007/978-3-319-78717-6_18
conf/icaart/Perez-MarinP10 Overview of Interactive Genetic Programming Approaches for Conversational Agents
DianaRosarioPerezMarin.html
IsmaelPascual-Nieto.html
http___www.icaart.org_Abstracts_2010_SpecialSessionLAMAS_2010_Abstracts.htm http://www.icaart.org/Abstracts/2010/SpecialSessionLAMAS_2010_Abstracts.htm
http___dx.doi.org_10.5220_0002769403590366 http://dx.doi.org/10.5220/0002769403590366
PEREZMOROYOQUI:2022:MCS An intelligent equation for methane hydrate growth kinetics
RenePerez-Moroyoqui.html
OscarIbanez-Orozco.html
SuemiRodriguez-Romo.html
http___dx.doi.org_10.1016_j.matcom.2021.08.011 http://dx.doi.org/10.1016/j.matcom.2021.08.011
https___www.sciencedirect.com_science_article_pii_S0378475421002883 https://www.sciencedirect.com/science/article/pii/S0378475421002883
PerisLopez200988 LAMED -- A PRNG for EPC Class-1 Generation-2 RFID specification
PedroPeris-Lopez.html
JulioCesarHernandez-Castro.html
JuanManuelEstevez-Tapiador.html
DArturoRibagordaGarnacho.html
http___dx.doi.org_10.1016_j.csi.2007.11.013 http://dx.doi.org/10.1016/j.csi.2007.11.013
http___www.sciencedirect.com_science_article_B6TYV-4R8WJXJ-6_2_dac50e978ead8c58c8a0a63c76f81e72 http://www.sciencedirect.com/science/article/B6TYV-4R8WJXJ-6/2/dac50e978ead8c58c8a0a63c76f81e72
Perkins:1997:iavbge Incremental Acquisition of Visual Behaviour using Guided Evolution
SimonPerkins.html
perkins:1999:EEVTS Evolving Effective Visual Tracking through Shaping
SimonPerkins.html
http___gpbib.cs.ucl.ac.uk_gecco1999_GP-458c.pdf http://gpbib.cs.ucl.ac.uk/gecco1999/GP-458c.pdf
http___gpbib.cs.ucl.ac.uk_gecco1999_GP-458c.ps http://gpbib.cs.ucl.ac.uk/gecco1999/GP-458c.ps
oai:CiteSeerPSU:574087 Incremental Acquisition of Complex Visual Behaviour using Genetic Programming
SimonPerkins.html
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https___www.era.lib.ed.ac.uk_bitstream_handle_1842_363_perkins.phdthesis.ps.gz https://www.era.lib.ed.ac.uk/bitstream/handle/1842/363/perkins.phdthesis.ps.gz
http___hdl.handle.net_1842_363 http://hdl.handle.net/1842/363
http___ethos.bl.uk_OrderDetails.do_did_45_uin_uk.bl.ethos.561717 http://ethos.bl.uk/OrderDetails.do?did=45&uin=uk.bl.ethos.561717
ieee94:perkis Stack-Based Genetic Programming
TimPerkis.html
https___www.perkis.com__site_writings_trp_stackGP.pdf https://www.perkis.com/_site/writings/trp_stackGP.pdf
http___citeseer.ist.psu.edu_432690.html http://citeseer.ist.psu.edu/432690.html
http___dx.doi.org_10.1109_ICEC.1994.350025 http://dx.doi.org/10.1109/ICEC.1994.350025
Perlin:2013:CIIP A Genetic Programming Approach for Image Segmentation
HugoAlbertoPerlin.html
HeitorSilverioLopes.html
http___dx.doi.org_10.1007_978-3-642-30621-1_4 http://dx.doi.org/10.1007/978-3-642-30621-1_4
Perone:2009:sigevo Pyevolve: a Python Open-Source Framework for Genetic Algorithms
ChristianSPerone.html
http___www.sigevolution.org_issues_pdf_SIGEVOlution200901.pdf http://www.sigevolution.org/issues/pdf/SIGEVOlution200901.pdf
Perry:popGP The effect of population enrichment in genetic programming
JohnEPerry.html
http___dx.doi.org_10.1109_ICEC.1994.349907 http://dx.doi.org/10.1109/ICEC.1994.349907
deAraujoPessoa:2020:CEC Cartesian Genetic Programming Hyper-Heuristic with Parameter Configuration for Production Lot-Sizing
LuisFilipedeAraujoPessoa.html
BerndHellingrath.html
FernandoBuarquedeLimaNeto.html
http___dx.doi.org_10.1109_CEC48606.2020.9185602 http://dx.doi.org/10.1109/CEC48606.2020.9185602
petit:tbn:1998 Touched by nature: Putting evolution to work on the assembly line
CharlesWPetit.html
http___dynamics.org__altenber_IN_THE_MEDIA_US_NEWS.7-27-98_index.html http://dynamics.org/~altenber/IN_THE_MEDIA/US_NEWS.7-27-98/index.html
http___www.genetic-programming.com_published_usnwr072798.html http://www.genetic-programming.com/published/usnwr072798.html
Petke:2013:SSBSE Applying Genetic Improvement to MiniSAT
JustynaPetke.html
WilliamBLangdon.html
MarkHarman.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_Petke_2013_SSBSE.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/Petke_2013_SSBSE.pdf
http___dx.doi.org_10.1007_978-3-642-39742-4_21 http://dx.doi.org/10.1007/978-3-642-39742-4_21
Petke:2014:EuroGP Using Genetic Improvement and Code Transplants to Specialise a C++ Program to a Problem Class
JustynaPetke.html
MarkHarman.html
WilliamBLangdon.html
WestleyWeimer.html
http___www0.cs.ucl.ac.uk_staff_J.Petke_papers_Petke_2014_EuroGP.pdf http://www0.cs.ucl.ac.uk/staff/J.Petke/papers/Petke_2014_EuroGP.pdf
http___dx.doi.org_10.1007_978-3-662-44303-3_12 http://dx.doi.org/10.1007/978-3-662-44303-3_12
Petke:2014:humie Using Genetic Improvement \& Code Transplants to Specialise a C++ Program to a Problem Class
JustynaPetke.html
MarkHarman.html
WilliamBLangdon.html
WestleyWeimer.html
http___www.genetic-programming.org_hc2014_Petke-Text.txt http://www.genetic-programming.org/hc2014/Petke-Text.txt
Petke:2014:sigevolution EvoStar 2014 Event Report
JustynaPetke.html
http___www.sigevolution.org_issues_pdf_SIGEVOlution060304.pdf http://www.sigevolution.org/issues/pdf/SIGEVOlution060304.pdf
http___dx.doi.org_10.1145_2661740.2661743 http://dx.doi.org/10.1145/2661740.2661743
petke:2015:daase_blog Revolutionising the process of software development
JustynaPetke.html
https___daaseblog.wordpress.com_2015_08_07_revolutionising-the-process-of-software-development_ https://daaseblog.wordpress.com/2015/08/07/revolutionising-the-process-of-software-development/
Petke:2016:GI Genetic Improvement for Code Obfuscation
JustynaPetke.html
http___geneticimprovementofsoftware.com_wp-content_uploads_2016_06_Genetic_Improvement_for_Code_Obfuscation.pdf http://geneticimprovementofsoftware.com/wp-content/uploads/2016/06/Genetic_Improvement_for_Code_Obfuscation.pdf
http___dx.doi.org_10.1145_2908961.2931689 http://dx.doi.org/10.1145/2908961.2931689
Petke:2016:GPEM Preface to the Special Issue on Genetic Improvement
JustynaPetke.html
http___dx.doi.org_10.1007_s10710-016-9280-x http://dx.doi.org/10.1007/s10710-016-9280-x
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JustynaPetke.html
SaemundurOskarHaraldsson.html
MarkHarman.html
WilliamBLangdon.html
DavidRobertWhite.html
JohnRWoodward.html
http___www.cs.ucl.ac.uk_staff_J.Petke_papers_Petke_2017_TEVC.pdf http://www.cs.ucl.ac.uk/staff/J.Petke/papers/Petke_2017_TEVC.pdf
http___dx.doi.org_doi_10.1109_TEVC.2017.2693219 http://dx.doi.org/doi:10.1109/TEVC.2017.2693219
http___dx.doi.org_10.1109_TEVC.2017.2693219 http://dx.doi.org/10.1109/TEVC.2017.2693219
http___www.cs.ucl.ac.uk_staff_J.Petke_papers_Petke_2017_TEVC_supplement.pdf http://www.cs.ucl.ac.uk/staff/J.Petke/papers/Petke_2017_TEVC_supplement.pdf
Petke:2017:ieeeTSE Specialising Software for Different Downstream Applications Using Genetic Improvement and Code Transplantation
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MarkHarman.html
WilliamBLangdon.html
WestleyWeimer.html
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http___crest.cs.ucl.ac.uk_sat_satimagegi.tar.gz http://crest.cs.ucl.ac.uk/sat/satimagegi.tar.gz
http___dx.doi.org_10.1109_TSE.2017.2702606 http://dx.doi.org/10.1109/TSE.2017.2702606
Petke:2017:GI New Operators for Non-functional Genetic Improvement
JustynaPetke.html
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http___dx.doi.org_10.1145_3067695.3082520 http://dx.doi.org/10.1145/3067695.3082520
gi_dagstuhl_2018 Genetic Improvement of Software: Report from Dagstuhl Seminar 18052
JustynaPetke.html
ClaireLeGoues.html
StephanieForrest.html
WilliamBLangdon.html
https___www.dagstuhl.de_18052 https://www.dagstuhl.de/18052
http___drops.dagstuhl.de_opus_volltexte_2018_9287_ http://drops.dagstuhl.de/opus/volltexte/2018/9287/
http___drops.dagstuhl.de_opus_volltexte_2018_9287_pdf_dagrep_v008_i001_p158_18052.pdf http://drops.dagstuhl.de/opus/volltexte/2018/9287/pdf/dagrep_v008_i001_p158_18052.pdf
http___dx.doi.org_10.4230_DagRep.8.1.158 http://dx.doi.org/10.4230/DagRep.8.1.158
Petke:2018:ICSEworkshop Proceedings 2018 ACM/IEEE 4th International Genetic Improvement Workshop, GI 2018
JustynaPetke.html
KathrynTStolee.html
WilliamBLangdon.html
WestleyWeimer.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_icse2018_GI_2018_FM_to_chair_04-26-18.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/icse2018/GI_2018_FM_to_chair_04-26-18.pdf
https___dl.acm.org_citation.cfm_id_3194810 https://dl.acm.org/citation.cfm?id=3194810
Petke:2019:ICSEworkshop Proceedings 2019 ACM/IEEE 6th International Genetic Improvement Workshop, GI 2019
JustynaPetke.html
ShinHweiTan.html
WilliamBLangdon.html
WestleyWeimer.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_icse2019_GI_2019_frontmatter.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/icse2019/GI_2019_frontmatter.pdf
Petke:2019:GI7 A Survey of Genetic Improvement Search Spaces
JustynaPetke.html
BradAlexander.html
EarlBarr.html
AlexanderEIBrownlee.html
MarkusWagner.html
DavidRobertWhite.html
https___cs.adelaide.edu.au__markus_pub_2019gecco-giSurvey.pdf https://cs.adelaide.edu.au/~markus/pub/2019gecco-giSurvey.pdf
http___dx.doi.org_10.1145_3319619.3326870 http://dx.doi.org/10.1145/3319619.3326870
Petke:2019:SSBSE Software Improvement with Gin: a Case Study
JustynaPetke.html
AlexanderEIBrownlee.html
http___discovery.ucl.ac.uk_10077237_ http://discovery.ucl.ac.uk/10077237/
https___dspace.stir.ac.uk_bitstream_1893_30334_1_Software_Improvement_with_Gin__a_Case_Study.pdf https://dspace.stir.ac.uk/bitstream/1893/30334/1/Software_Improvement_with_Gin__a_Case_Study.pdf
http___dx.doi.org_10.1007_978-3-030-27455-9_14 http://dx.doi.org/10.1007/978-3-030-27455-9_14
Petke:2020:APR Refining Fitness Functions in Test-Based Program Repair
JustynaPetke.html
AymericBlot.html
http___www.cs.ucl.ac.uk_staff_a.blot_files_petke_apr-icse_2020.pdf http://www.cs.ucl.ac.uk/staff/a.blot/files/petke_apr-icse_2020.pdf
http___dx.doi.org_10.1145_3387940.3392180 http://dx.doi.org/10.1145/3387940.3392180
Petke:2021:ICSEworkshop 10th Genetic Improvement Workshop (GI 2021 @ ICSE) Chairs' Welcome
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BobbyRBruce.html
YuHuang.html
AymericBlot.html
WestleyWeimer.html
WilliamBLangdon.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_icse2021_gi2021_message_from_the_chairs.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/icse2021/gi2021_message_from_the_chairs.pdf
https___youtu.be_LVLdIb18cBg_list_PLI8fiFpB7BoKDaxvS7SQp0iA7fN7rrvDD https://youtu.be/LVLdIb18cBg?list=PLI8fiFpB7BoKDaxvS7SQp0iA7fN7rrvDD
https___www.youtube.com_watch_v_LfOXI6rdf4I_list_PLXTjhGKkSnI-se7uQneCX-pEDiDrQ7TIS_index_12 https://www.youtube.com/watch?v=LfOXI6rdf4I&list=PLXTjhGKkSnI-se7uQneCX-pEDiDrQ7TIS&index=12
https___www.youtube.com_watch_v_ckM3PXs6hK8_list_PLI8fiFpB7BoKDaxvS7SQp0iA7fN7rrvDD_index_2 https://www.youtube.com/watch?v=ckM3PXs6hK8&list=PLI8fiFpB7BoKDaxvS7SQp0iA7fN7rrvDD&index=2
Petkovic:2016:Mechatronics Analyzing of flexible gripper by computational intelligence approach
DaliborPetkovic.html
SrdanJovic.html
ObradAnicic.html
BogdanNedic.html
BrankoPejovic.html
http___dx.doi.org_10.1016_j.mechatronics.2016.09.001 http://dx.doi.org/10.1016/j.mechatronics.2016.09.001
http___www.sciencedirect.com_science_article_pii_S0957415816300940 http://www.sciencedirect.com/science/article/pii/S0957415816300940
Petr:2010:MECHATRONIKA Mathematics model design based on genetic programming
PavelPetr.html
JiriKrupka.html
RomanaProvaznikova.html
http___ieeexplore.ieee.org_xpls_abs_all.jsp_arnumber_5521159 http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5521159
5080 Heterogeneous versus Homogeneous Machine Learning Ensembles
AleksandraPetrakova.html
MichaelAffenzeller.html
GalinaMerkurjeva.html
https___www.researchgate.net_profile_Michael_Affenzeller2_publication_293194221_Heterogeneous_versus_Homogeneous_Machine_Learning_Ensembles_links_56f031ba08ae70bdd6c9453a_Heterogeneous-versus-Homogeneous-Machine-Learning-Ensembles.pdf https://www.researchgate.net/profile/Michael_Affenzeller2/publication/293194221_Heterogeneous_versus_Homogeneous_Machine_Learning_Ensembles/links/56f031ba08ae70bdd6c9453a/Heterogeneous-versus-Homogeneous-Machine-Learning-Ensembles.pdf
http___dx.doi.org_10.1515_itms-2015-0021 http://dx.doi.org/10.1515/itms-2015-0021
Petrlik:2013:DDECS Multiobjective evolution of approximate multiple constant multipliers
JiriPetrlik.html
LukasSekanina.html
http___dx.doi.org_10.1109_DDECS.2013.6549800 http://dx.doi.org/10.1109/DDECS.2013.6549800
conf/acivs/PetrovicC05 Impulse Noise Detection Based on Robust Statistics and Genetic Programming
NemanjaPetrovic.html
VladimirCrnojevic.html
http___dx.doi.org_10.1007_11558484_81 http://dx.doi.org/10.1007/11558484_81
Petrovic:2009:ieeeIP Universal Impulse Noise Filter Based on Genetic Programming
NemanjaPetrovic.html
VladimirCrnojevic.html
http___dx.doi.org_10.1109_TIP.2008.924388 http://dx.doi.org/10.1109/TIP.2008.924388
Petrovic:2006fsatr Comparing Finite State Automata Representation with GP-trees
PavelPetrovic.html
http___dai.fmph.uniba.sk__petrovic_pub_fsatr.pdf http://dai.fmph.uniba.sk/~petrovic/pub/fsatr.pdf
Petrovic:thesis Incremental Evolutionary Methods for Automatic Programming of Robot Controllers
PavelPetrovic.html
http___ntnu.diva-portal.org_smash_get_diva2_122983_FULLTEXT01.pdf http://ntnu.diva-portal.org/smash/get/diva2:122983/FULLTEXT01.pdf
http___urn.kb.se_resolve_urn_urn_nbn_no_ntnu_diva-1748 http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-1748
Petrowski:2017:EAch6 Genetic Programming for Machine Learning
AlainPetrowski.html
SanaBenHamida.html
http___onlinelibrary.wiley.com_doi_10.1002_9781119136378.ch6_summary http://onlinelibrary.wiley.com/doi/10.1002/9781119136378.ch6/summary
http___dx.doi.org_10.1002_9781119136378.ch6 http://dx.doi.org/10.1002/9781119136378.ch6
petry:1995:appm Automatic programming and program maintenance with genetic programming
FredericEPetry.html
BertrandDanielDunay.html
http___www.worldscinet.com_ijseke_05_preserved-docs_0502_S0218194095000095.pdf http://www.worldscinet.com/ijseke/05/preserved-docs/0502/S0218194095000095.pdf
http___dx.doi.org_10.1142_S0218194095000095 http://dx.doi.org/10.1142/S0218194095000095
Petry:1997:HEC The use of genetic programming to build queries for information retrieval
FredericEPetry.html
BillBuckles.html
DonaldHKraft.html
DevarayaPrabhu.html
ThyagarajanSadasivan.html
http___citeseerx.ist.psu.edu_viewdoc_download_doi_10.1.1.375.6494.pdf http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.375.6494.pdf
https___www.amazon.com_Handbook-Evolutionary-Computation-Computational-Intelligence_dp_0750303921 https://www.amazon.com/Handbook-Evolutionary-Computation-Computational-Intelligence/dp/0750303921
Pettersson:2006:SMC Behavioral selection in domestic assistance robots: A comparison of different methods for optimization of utility functions
JimmyPettersson.html
DavidSandberg.html
KristerWolff.html
MattiasWahde.html
http___dx.doi.org_10.1109_ICSMC.2006.385082 http://dx.doi.org/10.1109/ICSMC.2006.385082
peysakhov:2000:RL Representation and evolution of Lego-based assemblies
MaximPeysakhov.html
http___citeseer.ist.psu.edu_cache_papers_cs_22115_http_zSzzSzedge.mcs.drexel.eduzSzGICLzSzpaperszSzPDFszSzGeccoStudentWorkshop.pdf_representation-and-evolution-of.pdf http://citeseer.ist.psu.edu/cache/papers/cs/22115/http:zSzzSzedge.mcs.drexel.eduzSzGICLzSzpaperszSzPDFszSzGeccoStudentWorkshop.pdf/representation-and-evolution-of.pdf
http___citeseer.ist.psu.edu_442244.html http://citeseer.ist.psu.edu/442244.html
Pfeifer:2020:DATE A Reinforcement Learning Approach to Directed Test Generation for Shared Memory Verification
NicolasPfeifer.html
BrunoVZimpel.html
GabrielArthurGerberAndrade.html
LuizCVdosSantos.html
http___dx.doi.org_10.23919_DATE48585.2020.9116198 http://dx.doi.org/10.23919/DATE48585.2020.9116198
pham:2013:EuroGP Examining the Diversity Property of Semantic Similarity based Crossover
PhamTuanAnh.html
QuangUyNguyen.html
NguyenXuanHoai.html
MichaelO'Neill.html
http___dx.doi.org_10.1007_978-3-642-37207-0_23 http://dx.doi.org/10.1007/978-3-642-37207-0_23
conf/kse/AnhNN13 Phishing Attacks Detection Using Genetic Programming
PhamTuanAnh.html
QuangUyNguyen.html
NguyenXuanHoai.html
http___dx.doi.org_10.1007_978-3-319-02821-7 http://dx.doi.org/10.1007/978-3-319-02821-7
http___dx.doi.org_10.1007_978-3-319-02821-7_18 http://dx.doi.org/10.1007/978-3-319-02821-7_18
http___dx.doi.org_10.1007_978-3-319-02821-7_18 http://dx.doi.org/10.1007/978-3-319-02821-7_18
pham:2021:Fuels New Hybrid Approach for Developing Automated Machine Learning Workflows: A Real Case Application in Evaluation of Marcellus Shale Gas Production
VuongVanPham.html
EbrahimFathi.html
FatemehBelyadi.html
https___www.mdpi.com_2673-3994_2_3_17 https://www.mdpi.com/2673-3994/2/3/17
http___dx.doi.org_10.3390_fuels2030017 http://dx.doi.org/10.3390/fuels2030017
Phan:2010:ATC Genetic programming approach for SoC/IP floorplanning applications
PhuongHongPhan.html
ThanhDucTong.html
http___dx.doi.org_10.1109_ATC.2010.5672733 http://dx.doi.org/10.1109/ATC.2010.5672733
PhaniAlekhya:2013:IJCTT Protecting E-Commerce Systems From Online Fraud
PPhaniAlekhya.html
SkMahaboobBasha.html
http___ijcttjournal.org_Volume4_issue-10_IJCTT-V4I10P132.pdf http://ijcttjournal.org/Volume4/issue-10/IJCTT-V4I10P132.pdf
http___ijcttjournal.org_archives_ijctt-v4i10p132 http://ijcttjournal.org/archives/ijctt-v4i10p132
Phelan:2016:sigevo Bullwhips \& Beer: Grammatical Evolution in Supply Chains!
MichaelPhelan.html
http___www.sigevolution.org_issues_SIGEVOlution0904.pdf http://www.sigevolution.org/issues/SIGEVOlution0904.pdf
phelps:2000:VRDMESGP Virtual Rodents: Discovery of Maze Exploration Solutions using Genetic Programming
AdamPhelps.html
phelps:2002:gecco:workshop Co-Evolution of Auction Mechanisms and Trading Strategies: Towards a Novel Approach to Microeconomic Design
StevePhelps.html
SimonParsons.html
PeterMcBurney.html
ElizabethSklar.html
oai:CiteSeerPSU:531021 Co-evolution of auction mechanisms and strategies: Towards a novel approach to microeconomic design
StevePhelps.html
SimonParsons.html
PeterMcBurney.html
ElizabethSklar.html
http___www.csc.liv.ac.uk_research_techreports_tr2002_tr02004abs.html http://www.csc.liv.ac.uk/research/techreports/tr2002/tr02004abs.html
http___www.csc.liv.ac.uk_research_techreports_tr2002_ulcs-02-004.ps http://www.csc.liv.ac.uk/research/techreports/tr2002/ulcs-02-004.ps
http___citeseer.ist.psu.edu_531021.html http://citeseer.ist.psu.edu/531021.html
oai:CiteSeerPSU:554389 Applying Multi-Objective Evolutionary Computing to Auction Mechanism Design
StevePhelps.html
SimonParsons.html
ElizabethSklar.html
PeterMcBurney.html
http___www.csc.liv.ac.uk_research_techreports_tr2002_ulcs-02-031.pdf http://www.csc.liv.ac.uk/research/techreports/tr2002/ulcs-02-031.pdf
http___citeseer.ist.psu.edu_554389.html http://citeseer.ist.psu.edu/554389.html
phelps:2003:aamas Applying Genetic Programming to Economic Mechanism Design: Evolving a pricing rule for a continuous double auction
StevePhelps.html
SimonParsons.html
PeterMcBurney.html
ElizabethSklar.html
http___www.sci.brooklyn.cuny.edu__parsons_publications_conferences_aamas03d.pdf http://www.sci.brooklyn.cuny.edu/~parsons/publications/conferences/aamas03d.pdf
phelps:2003:xu Foundations of Genetic Programming
StevePhelps.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_phelps_fogp_review.tex http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/phelps_fogp_review.tex
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_phelps_fogp_review.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/phelps_fogp_review.pdf
Phelps:2003:AEC Using genetic programming to optimise pricing rules for a double auction market
StevePhelps.html
PeterMcBurney.html
ElizabethSklar.html
SimonParsons.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.526.6836 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.526.6836
http___spider.sci.brooklyn.cuny.edu__parsons_projects_mech-design_publications_aec03.pdf http://spider.sci.brooklyn.cuny.edu/~parsons/projects/mech-design/publications/aec03.pdf
Phienthrakul:2007:cec GPES: An Algorithm for Evolving Hybrid Kernel Functions of Support Vector Machines
TanasaneePhienthrakul.html
BoonsermKijsirikul.html
http___dx.doi.org_10.1109_CEC.2007.4424803 http://dx.doi.org/10.1109/CEC.2007.4424803
Phillips:2016:CEC Genetic Programming for Evolving Programs with Recursive Structures
TessaPhillips.html
MengjieZhang.html
BingXue.html
http___dx.doi.org_10.1109_CEC.2016.7748329 http://dx.doi.org/10.1109/CEC.2016.7748329
phillips:2017:CEC Genetic programming for solving common and domain-independent generic recursive problems
TessaPhillips.html
MengjieZhang.html
BingXue.html
http___dx.doi.org_10.1109_CEC.2017.7969452 http://dx.doi.org/10.1109/CEC.2017.7969452
phon-amnuaisuk:evows07 Evolving Music Generation with SOM-fitness Genetic Programming
SomnukPhon-Amnuaisuk.html
EdwinHuiHeanLaw.html
ChinKuanHo.html
http___dx.doi.org_10.1007_978-3-540-71805-5_61 http://dx.doi.org/10.1007/978-3-540-71805-5_61
Phong:2012:GECCO Evolving the best known approximation to the Q function
NgocPhongDao.html
NguyenXuanHoai.html
RI_Bob_McKay.html
ConstantinSiriteanu.html
QuangUyNguyen.html
NamyongPark.html
http___dx.doi.org_10.1145_2330163.2330275 http://dx.doi.org/10.1145/2330163.2330275
Phong:2013:RIVF Semantic based crossovers in Tree-Adjoining Grammar Guided Genetic Programming
NgocPhongDao.html
QuangUyNguyen.html
NguyenXuanHoai.html
NguyenThanhThuy.html
http___dx.doi.org_10.1109_RIVF.2013.6719883 http://dx.doi.org/10.1109/RIVF.2013.6719883
Piao:2008:WCICA Using MOEA to evolve a combinational circuit on a FPGA chip
ChanghaoPiao.html
JinWang.html
ZhiyongLuo.html
http___dx.doi.org_10.1109_WCICA.2008.4593873 http://dx.doi.org/10.1109/WCICA.2008.4593873
piaseczny:2004:cgpeoaarrufgt Chemical Genetic Programming - Evolution of Amino Acid Rewriting Rules Used for Genotype-Phenotype Translation
WojciechPiaseczny.html
HideakiSuzuki.html
HidefumiSawai.html
http___dx.doi.org_10.1109_CEC.2004.1331092 http://dx.doi.org/10.1109/CEC.2004.1331092
piaseczny:2004:lbp Chemical Genetic Programming - The Effect of Evolving Amino Acids
WojciechPiaseczny.html
HideakiSuzuki.html
HidefumiSawai.html
http___gpbib.cs.ucl.ac.uk_gecco2004_LBP009.pdf http://gpbib.cs.ucl.ac.uk/gecco2004/LBP009.pdf
piaseczny:cgp:gecco2004 Chemical Genetic Programming -- Coevolution Between Genotypic Strings and Phenotypic Trees
WojciechPiaseczny.html
HideakiSuzuki.html
HidefumiSawai.html
http___dx.doi.org_10.1007_b98645 http://dx.doi.org/10.1007/b98645
piaseczny:2004:eec:wpia Chemical Genetic Programming: Optimizing the Evolutionary Translation Set
WojciechPiaseczny.html
HideakiSuzuki.html
HidefumiSawai.html
http___gpbib.cs.ucl.ac.uk_gecco2004_WEEC002.pdf http://gpbib.cs.ucl.ac.uk/gecco2004/WEEC002.pdf
piaseczny:2005:ALR Chemical Genetic Programming - evolutionary optimization of the genotype-to-phenotype translation set
WojciechPiaseczny.html
HideakiSuzuki.html
HidefumiSawai.html
http___link.springer.com_article_10.1007_s10015-005-0346-8 http://link.springer.com/article/10.1007/s10015-005-0346-8
http___dx.doi.org_10.1007_s10015-005-0346-8 http://dx.doi.org/10.1007/s10015-005-0346-8
Picardi:2017:evoApplications Objective Assessment of Cognitive Impairment in Parkinson's Disease Using Evolutionary Algorithm
ChiaraPicardi.html
JeremyCosgrove.html
StephenLSmith.html
DRStuartJamieson.html
JaneEAlty.html
http___dx.doi.org_10.1007_978-3-319-55849-3_8 http://dx.doi.org/10.1007/978-3-319-55849-3_8
Picek:2013:GECCOcomp Evolving cryptographically sound boolean functions
StjepanPicek.html
DomagojJakobovic.html
MarinGolub.html
http___dx.doi.org_10.1145_2464576.2464671 http://dx.doi.org/10.1145/2464576.2464671
Picek:2015:EuroGP Evolutionary Methods for the Construction of Cryptographic Boolean Functions
StjepanPicek.html
DomagojJakobovic.html
JulianFMiller.html
ElenaMarchiori.html
LejlaBatina.html
http___dx.doi.org_10.1007_978-3-319-16501-1_16 http://dx.doi.org/10.1007/978-3-319-16501-1_16
Picek:2015:GECCOa Correlation Immunity of Boolean Functions: An Evolutionary Algorithms Perspective
StjepanPicek.html
ClaudeCarlet.html
DomagojJakobovic.html
JulianFMiller.html
LejlaBatina.html
http___doi.acm.org_10.1145_2739480.2754764 http://doi.acm.org/10.1145/2739480.2754764
http___dx.doi.org_10.1145_2739480.2754764 http://dx.doi.org/10.1145/2739480.2754764
Picek:2015:GECCOcomp Cartesian Genetic Programming Approach for Generating Substitution Boxes of Different Sizes
StjepanPicek.html
JulianFMiller.html
DomagojJakobovic.html
LejlaBatina.html
http___doi.acm.org_10.1145_2739482.2764698 http://doi.acm.org/10.1145/2739482.2764698
http___dx.doi.org_10.1145_2739482.2764698 http://dx.doi.org/10.1145/2739482.2764698
Picek:2016:GECCO Evolving Algebraic Constructions for Designing Bent Boolean Functions
StjepanPicek.html
DomagojJakobovic.html
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http___dx.doi.org_10.1145_2908812.2908915 http://dx.doi.org/10.1145/2908812.2908915
Picek:thesis Applications of Evolutionary Computation to Cryptology
StjepanPicek.html
https___urn.nsk.hr_urn_nbn_hr_168_903769 https://urn.nsk.hr/urn:nbn:hr:168:903769
https___repozitorij.unizg.hr_islandora_object_fer_3A4924 https://repozitorij.unizg.hr/islandora/object/fer%3A4924
https___repository.ubn.ru.nl_bitstream_handle_2066_141872_141872.pdf https://repository.ubn.ru.nl/bitstream/handle/2066/141872/141872.pdf
Picek:2016:EC Evolutionary Algorithms for Boolean Functions in Diverse Domains of Cryptography
StjepanPicek.html
ClaudeCarlet.html
SylvainGuilley.html
JulianFMiller.html
DomagojJakobovic.html
http___dx.doi.org_10.1162_EVCO_a_00190 http://dx.doi.org/10.1162/EVCO_a_00190
Picek:2017:DSD:3075564.3079069 Design of S-boxes Defined with Cellular Automata Rules
StjepanPicek.html
LucaMariot.html
BohanYang.html
DomagojJakobovic.html
NeleMentens.html
http___www.human-competitive.org_sites_default_files_picek-paper-2-acm.pdf http://www.human-competitive.org/sites/default/files/picek-paper-2-acm.pdf
http___www.human-competitive.org_sites_default_files_picek-text.txt http://www.human-competitive.org/sites/default/files/picek-text.txt
http___dx.doi.org_10.1145_3075564.3079069 http://dx.doi.org/10.1145/3075564.3079069
Picek:2017:GPTP One-Class Classification of Low Volume DoS Attacks with Genetic Programming
StjepanPicek.html
ErikHemberg.html
DomagojJakobovic.html
Una-MayO'Reilly.html
https___link.springer.com_chapter_10.1007_978-3-319-90512-9_10 https://link.springer.com/chapter/10.1007/978-3-319-90512-9_10
http___dx.doi.org_10.1007_978-3-319-90512-9_10 http://dx.doi.org/10.1007/978-3-319-90512-9_10
picek:2017:CEC On the evolution of bent (n, m) functions
StjepanPicek.html
KarloKnezevic.html
DomagojJakobovic.html
http___dx.doi.org_10.1109_CEC.2017.7969563 http://dx.doi.org/10.1109/CEC.2017.7969563
Picek:2017:GECCO Evolving S-boxes Based on Cellular Automata with Genetic Programming
StjepanPicek.html
LucaMariot.html
AlbertoLeporati.html
DomagojJakobovic.html
http___www.human-competitive.org_sites_default_files_picek-paper-1-gecco.pdf http://www.human-competitive.org/sites/default/files/picek-paper-1-gecco.pdf
http___www.human-competitive.org_sites_default_files_picek-text.txt http://www.human-competitive.org/sites/default/files/picek-text.txt
http___doi.acm.org_10.1145_3067695.3076084 http://doi.acm.org/10.1145/3067695.3076084
http___dx.doi.org_10.1145_3067695.3076084 http://dx.doi.org/10.1145/3067695.3076084
Picek:2018:CEC Evolving Bent Quaternary Functions
StjepanPicek.html
KarloKnezevic.html
LucaMariot.html
DomagojJakobovic.html
AlbertoLeporati.html
http___dx.doi.org_10.1109_CEC.2018.8477677 http://dx.doi.org/10.1109/CEC.2018.8477677
Picek:2019:GECCOcomp On the design of S-box constructions with genetic programming
StjepanPicek.html
DomagojJakobovic.html
http___dx.doi.org_10.1145_3319619.3322040 http://dx.doi.org/10.1145/3319619.3322040
Picek:2019:GECCOcompa C3PO: cipher construction with cartesian genetic programming
StjepanPicek.html
KarloKnezevic.html
DomagojJakobovic.html
AnteDerek.html
http___dx.doi.org_10.1145_3319619.3326869 http://dx.doi.org/10.1145/3319619.3326869
Picek:2020:GECCOcomp Evolutionary Computation and Machine Learning in Cryptology
StjepanPicek.html
DomagojJakobovic.html
https___doi.org_10.1145_3377929.3389886 https://doi.org/10.1145/3377929.3389886
http___dx.doi.org_10.1145_3377929.3389886 http://dx.doi.org/10.1145/3377929.3389886
Pickardt:2010:WSC Generating dispatching rules for semiconductor manufacturing to minimize weighted tardiness
ChristophPickardt.html
JurgenBranke.html
TorstenHildebrandt.html
JensHeger.html
BerndScholz-Reiter.html
http___dx.doi.org_10.1109_WSC.2010.5678946 http://dx.doi.org/10.1109/WSC.2010.5678946
Pickardt:2012:IJPE Evolutionary generation of dispatching rule sets for complex dynamic scheduling problems
ChristophPickardt.html
TorstenHildebrandt.html
JurgenBranke.html
JensHeger.html
BerndScholz-Reiter.html
http___dx.doi.org_10.1016_j.ijpe.2012.10.016 http://dx.doi.org/10.1016/j.ijpe.2012.10.016
http___www.sciencedirect.com_science_article_pii_S0925527312004574 http://www.sciencedirect.com/science/article/pii/S0925527312004574
WRAP_THESIS_Pickardt_2013 Evolutionary methods for the design of dispatching rules for complex and dynamic scheduling problems
ChristophPickardt.html
http___wrap.warwick.ac.uk_59757_1_WRAP_THESIS_Pickardt_2013.pdf http://wrap.warwick.ac.uk/59757/1/WRAP_THESIS_Pickardt_2013.pdf
http___go.warwick.ac.uk_wrap http://go.warwick.ac.uk/wrap
http___webcat.warwick.ac.uk_record_b2704739_S1 http://webcat.warwick.ac.uk/record=b2704739~S1
https___ethos.bl.uk_OrderDetails.do_uin_uk.bl.ethos.595766 https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.595766
Piegl20041279 Special issue on automated synthesis of human-competitive designs by means of genetic programming
LesAPiegl.html
http___dx.doi.org_10.1016_j.cad.2004.05.003 http://dx.doi.org/10.1016/j.cad.2004.05.003
http___www.sciencedirect.com_science_article_B6TYR-4CK1PH8-1_2_a704a96d3de86e4ca796e33adeadd00f http://www.sciencedirect.com/science/article/B6TYR-4CK1PH8-1/2/a704a96d3de86e4ca796e33adeadd00f
pietrasik:1995:OUGPECD On the Use of Genetic Programming in Elevator Control Design
DanPietrasik.html
Pietropolli:2022:EuroGP Combining Geometric Semantic GP with Gradient-descent Optimization
GloriaPietropolli.html
LucaManzoni.html
AlessiaPaoletti.html
MauroCastelli.html
http___dx.doi.org_10.1007_978-3-031-02056-8_2 http://dx.doi.org/10.1007/978-3-031-02056-8_2
DBLP:journals/corr/abs-2206-03241 Combining Genetic Programming and Particle Swarm Optimization to Simplify Rugged Landscapes Exploration
GloriaPietropolli.html
GiuliamariaMenara.html
MauroCastelli.html
https___doi.org_10.48550_arXiv.2206.03241 https://doi.org/10.48550/arXiv.2206.03241
http___dx.doi.org_10.48550_arXiv.2206.03241 http://dx.doi.org/10.48550/arXiv.2206.03241
https___dblp.org_rec_journals_corr_abs-2206-03241.bib https://dblp.org/rec/journals/corr/abs-2206-03241.bib
pietropolli:2023:GECCOcomp Parametrizing GP Trees for Better Symbolic Regression Performance through Gradient Descent
GloriaPietropolli.html
FedericoJulianCamerotaVerdu.html
LucaManzoni.html
MauroCastelli.html
http___dx.doi.org_10.1145_3583133.3590574 http://dx.doi.org/10.1145/3583133.3590574
Pietropolli:2023:GPEM On the hybridization of geometric semantic GP with gradient-based optimizers
GloriaPietropolli.html
LucaManzoni.html
AlessiaPaoletti.html
MauroCastelli.html
https___rdcu.be_dpWsR https://rdcu.be/dpWsR
http___dx.doi.org_10.1007_s10710-023-09463-1 http://dx.doi.org/10.1007/s10710-023-09463-1
pigozzi:2021:AS Mining Road Traffic Rules with Signal Temporal Logic and Grammar-Based Genetic Programming
FedericoPigozzi.html
EricMedvet.html
LauraNenzi.html
https___www.mdpi.com_2076-3417_11_22_10573 https://www.mdpi.com/2076-3417/11/22/10573
http___dx.doi.org_10.3390_app112210573 http://dx.doi.org/10.3390/app112210573
Pijl:2009:BNAIC Prediction of Successful Participation in a Lifestyle Activity Program using Data Mining Techniques
MartenPijl.html
JoycaLacroix.html
SteffenPauws.html
AnneliesGoris.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.380.4042 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.380.4042
http___wwwis.win.tue.nl_bnaic2009_papers_bnaic2009_paper_114.pdf http://wwwis.win.tue.nl/bnaic2009/papers/bnaic2009_paper_114.pdf
su10041230 Transport Choice Modeling for the Evaluation of New Transport Policies
AnderPijoan.html
OihaneKamara-Esteban.html
AinhoaAlonso-Vicario.html
CruzEnriqueBorges.html
http___www.mdpi.com_2071-1050_10_4_1230 http://www.mdpi.com/2071-1050/10/4/1230
http___dx.doi.org_10.3390_su10041230 http://dx.doi.org/10.3390/su10041230
pilat:rcu:gecco2004 Robotic Control Using Hierarchical Genetic Programming
MarcinLPilat.html
FranzOppacher.html
http___dx.doi.org_10.1007_b98645 http://dx.doi.org/10.1007/b98645
Pilat:2004:EMTP Evolution of Khepera Robotic Controllers with Hierarchical Genetic Programming Techniques
MarcinLPilat.html
FranzOppacher.html
http___www.springeronline.com_sgw_cda_frontpage_0_11855_5-175-22-33980449-0_00.html http://www.springeronline.com/sgw/cda/frontpage/0,11855,5-175-22-33980449-0,00.html
Pilat:2016:PPSN Feature Extraction for Surrogate Models in Genetic Programming
MartinPilat.html
RomanNeruda.html
http___dx.doi.org_10.1007_978-3-319-45823-6_31 http://dx.doi.org/10.1007/978-3-319-45823-6_31
Pilat:2016:ICTAI Asynchronous Evolution of Data Mining Workflow Schemes by Strongly Typed Genetic Programming
MartinPilat.html
TomasKren.html
RomanNeruda.html
http___dx.doi.org_10.1109_ICTAI.2016.0094 http://dx.doi.org/10.1109/ICTAI.2016.0094
pilat:2022:GECCOcomp Using Graph Neural Networks as Surrogate Models in Genetic Programming
MartinPilat.html
GabrielaSuchoparova.html
http___dx.doi.org_10.1145_3520304.3529024 http://dx.doi.org/10.1145/3520304.3529024
Piliouras:2013:ICHI Dealing with Data Sparsity in Drug Named Entity Recognition
DimitriosPiliouras.html
IoannisKorkontzelos.html
AndrewDowsey.html
SophiaAnaniadou.html
http___dx.doi.org_10.1109_ICHI.2013.9 http://dx.doi.org/10.1109/ICHI.2013.9
Pillay:2001:INTECH A Genetic Programming System for the Induction of Novice Programming Problems in Intelligent Programming Tutors
NelishiaPillay.html
pillay:2002:SAC Using genetic programming for the induction of novice procedural programming solution algorithms
NelishiaPillay.html
http___delivery.acm.org_10.1145_510000_508903_p578-pillay.pdf_key1_508903_key2_1948240311_coll_GUIDE_dl_GUIDE_CFID_58616480_CFTOKEN_84008120 http://delivery.acm.org/10.1145/510000/508903/p578-pillay.pdf?key1=508903&key2=1948240311&coll=GUIDE&dl=GUIDE&CFID=58616480&CFTOKEN=84008120
http___dx.doi.org_10.1145_508791.508903 http://dx.doi.org/10.1145/508791.508903
Pillay:2003:ICAAI Evolving Solutions to ASCII Graphics Programming Problems in Intelligent Programming Tutors
NelishiaPillay.html
pillay:thesis An Investigation into the Use of Genetic Programming for the Induction of Novice Procedural Programming Solution Algorithms in Intelligent Programming Tutors
NelishiaPillay.html
http___hdl.handle.net_10413_2511 http://hdl.handle.net/10413/2511
https___researchspace.ukzn.ac.za_items_cf3a583d-279f-44ad-bb80-796e7fd9bd8c https://researchspace.ukzn.ac.za/items/cf3a583d-279f-44ad-bb80-796e7fd9bd8c
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1068308 An investigation into using genetic programming as a means of inducing solutions to novice procedural programming problems
NelishiaPillay.html
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Pillay:2005:SAICSIT A Genetic Programming System for the Induction of Iterative Solution
NelishiaPillay.html
http___www.cs.ukzn.ac.za_publications_nelishia_c37.pdf http://www.cs.ukzn.ac.za/publications/nelishia_c37.pdf
conf/epia/PillayB07 A Genetic Programming Approach to the Generation of Hyper-Heuristics for the Uncapacitated Examination Timetabling Problem
NelishiaPillay.html
WolfgangBanzhaf.html
http___www.cs.mun.ca__banzhaf_papers_epia.pdf http://www.cs.mun.ca/~banzhaf/papers/epia.pdf
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.135.2636 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.135.2636
http___dx.doi.org_10.1007_978-3-540-77002-2_19 http://dx.doi.org/10.1007/978-3-540-77002-2_19
conf/saicsit/Pillay08 An analysis of representations for hyper-heuristics for the uncapacitated examination timetabling problem in a genetic programming system
NelishiaPillay.html
http___dx.doi.org_10.1145_1456659.1456681 http://dx.doi.org/10.1145/1456659.1456681
Pillay:2016:CEC Evolving Construction Heuristics for the Curriculum Based University Course Timetabling Problem
NelishiaPillay.html
http___dx.doi.org_10.1109_CEC.2016.7744354 http://dx.doi.org/10.1109/CEC.2016.7744354
pillay:2017:CEC EvoHyp - a Java toolkit for evolutionary algorithm hyper-heuristics
NelishiaPillay.html
DerrickBeckedahl.html
http___dx.doi.org_10.1109_CEC.2017.7969636 http://dx.doi.org/10.1109/CEC.2017.7969636
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NelishiaPillay.html
EnderOzcan.html
http___eprints.nottingham.ac.uk_45567_ http://eprints.nottingham.ac.uk/45567/
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https___link.springer.com_article_10.1007_2Fs10479-017-2625-x https://link.springer.com/article/10.1007%2Fs10479-017-2625-x
https___doi.org_10.1007_s10479-017-2625-x https://doi.org/10.1007/s10479-017-2625-x
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NelishiaPillay.html
RongQu.html
http___dx.doi.org_10.1007_978-3-319-96514-7 http://dx.doi.org/10.1007/978-3-319-96514-7
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http___dx.doi.org_10.1007_s10710-019-09362-4 http://dx.doi.org/10.1007/s10710-019-09362-4
Pillay:2021:ADMLSA Automated Design of Classification Algorithms
NelishiaPillay.html
ThamboNyathi.html
http___dx.doi.org_10.1007_978-3-030-72069-8_10 http://dx.doi.org/10.1007/978-3-030-72069-8_10
Pillay:2021:ADMLSAend Automated Design (AutoDes): Current Trends and Future Research Directions
NelishiaPillay.html
http___dx.doi.org_10.1007_978-3-030-72069-8_11 http://dx.doi.org/10.1007/978-3-030-72069-8_11
Pimenta:2014:CIDM GoldMiner: A Genetic Programming based algorithm applied to Brazilian Stock Market
AlexandrePimenta.html
EduardoGontijoCarrano.html
FredericoGadelhaGuimaraes.html
CiniroAparecidoLeiteNametala.html
RicardoHiroshiCaldeiraTakahashi.html
http___dx.doi.org_10.1109_CIDM.2014.7008695 http://dx.doi.org/10.1109/CIDM.2014.7008695
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AlexandrePimenta.html
CiniroAparecidoLeiteNametala.html
FredericoGadelhaGuimaraes.html
EduardoGontijoCarrano.html
http___dx.doi.org_10.1007_s10614-017-9665-9 http://dx.doi.org/10.1007/s10614-017-9665-9
Pimenta:2020:evoCOP Fitness Landscape Analysis of Automated Machine Learning Search Spaces
CristianoGuimaraesPimenta.html
AlexGCdeSa.html
GabrielaOchoa.html
GiseleLPappa.html
http___dx.doi.org_10.1007_978-3-030-43680-3_8 http://dx.doi.org/10.1007/978-3-030-43680-3_8
pindor:1999:UGA Using Genetic Algorithm to manipulate polynomial expressions
AndrzejJPindor.html
http___gpbib.cs.ucl.ac.uk_gecco1999_RW-719.pdf http://gpbib.cs.ucl.ac.uk/gecco1999/RW-719.pdf
http___gpbib.cs.ucl.ac.uk_gecco1999_RW-719.ps http://gpbib.cs.ucl.ac.uk/gecco1999/RW-719.ps
Pindur:2020:SCIS-ISIS Parametric Genetic Programming
AdamKotaroPindur.html
TakahiroHoriba.html
HitoshiIba.html
http___dx.doi.org_10.1109_SCISISIS50064.2020.9322682 http://dx.doi.org/10.1109/SCISISIS50064.2020.9322682
DBLP:conf/ijcci/PindurI20 Behavioral Locality in Genetic Programming
AdamKotaroPindur.html
HitoshiIba.html
https___doi.org_10.5220_0010113400810091 https://doi.org/10.5220/0010113400810091
http___dx.doi.org_10.5220_0010113400810091 http://dx.doi.org/10.5220/0010113400810091
https___dblp.org_rec_conf_ijcci_PindurI20.bib https://dblp.org/rec/conf/ijcci/PindurI20.bib
Pineda:2022:evoapplications Brain Programming and Its Resilience Using a Real-World Database of a Snowy Plover Shorebird
RobertoPineda.html
GustavoOlague.html
GerardoIbarra-Vazquez.html
AxelMartinez.html
JonathanVargas.html
IsnardoReducindo.html
http___dx.doi.org_10.1007_978-3-031-02462-7_38 http://dx.doi.org/10.1007/978-3-031-02462-7_38
pingel:1998:CGA Compression by Genetic Algorithm
AdamPingel.html
Pinheiro:2015:EPIA Synthesis of In-Place Iterative Sorting Algorithms Using GP: A Comparison Between STGP, SFGP, G3P and GE
DavidPinheiro.html
AlbertoCanoRojas.html
SebastianVentura.html
http___dx.doi.org_10.1007_978-3-319-23485-4_32 http://dx.doi.org/10.1007/978-3-319-23485-4_32
PINHEIRO:2019:ANE Genetic programming applied to the identification of accidents of a PWR nuclear power plant
VictorHenriqueCabralPinheiro.html
RobertoSchirru.html
http___dx.doi.org_10.1016_j.anucene.2018.09.039 http://dx.doi.org/10.1016/j.anucene.2018.09.039
http___www.sciencedirect.com_science_article_pii_S030645491830519X http://www.sciencedirect.com/science/article/pii/S030645491830519X
Pinna:2024:EuroGP Enhancing Large Language Models-Based Code Generation by Leveraging Genetic Improvement
GiovanniPinna.html
DamianoRavalico.html
LuigiRovito.html
LucaManzoni.html
AndreaDeLorenzo.html
http___dx.doi.org_10.1007_978-3-031-56957-9_7 http://dx.doi.org/10.1007/978-3-031-56957-9_7
Pinos:2021:EuroGP Evolutionary Neural Architecture Search Supporting Approximate Multipliers
MichalPinos.html
VojtechMrazek.html
LukasSekanina.html
https___arxiv.org_abs_2101.11883 https://arxiv.org/abs/2101.11883
http___dx.doi.org_10.1007_978-3-030-72812-0_6 http://dx.doi.org/10.1007/978-3-030-72812-0_6
Pinos:2022:GPEM Evolutionary approximation and neural architecture search
MichalPinos.html
VojtechMrazek.html
LukasSekanina.html
http___dx.doi.org_10.1007_s10710-022-09441-z http://dx.doi.org/10.1007/s10710-022-09441-z
DBLP:conf/gecco/PintoS09 Motion detection in complex environments by genetic programming
BrianPinto.html
AndySong.html
http___dx.doi.org_10.1145_1570256.1570288 http://dx.doi.org/10.1145/1570256.1570288
Pinto:2009:IVCNZ Detecting motion from noisy scenes using Genetic Programming
BrianPinto.html
AndySong.html
http___dx.doi.org_10.1109_IVCNZ.2009.5378389 http://dx.doi.org/10.1109/IVCNZ.2009.5378389
DBLP:conf/ausai/PintoS09 Learning Motion Detectors by Genetic Programming
BrianPinto.html
AndySong.html
http___dx.doi.org_10.1007_978-3-642-10439-8_17 http://dx.doi.org/10.1007/978-3-642-10439-8_17
Pires20111903 Prediction of tropospheric ozone concentrations: Application of a methodology based on the Darwin's Theory of Evolution
JoseCarlosMagalhaesPires.html
MariadaConceicaoMachadoAlvimFerraz.html
MariadoCarmodaSilvaPereira.html
FernandoGomesMartins.html
http___dx.doi.org_10.1016_j.eswa.2010.07.122 http://dx.doi.org/10.1016/j.eswa.2010.07.122
http___www.sciencedirect.com_science_article_B6V03-50P9GWC-1C_2_0ff11c163444181583a80ca723345fd0 http://www.sciencedirect.com/science/article/B6V03-50P9GWC-1C/2/0ff11c163444181583a80ca723345fd0
Piringer:2022:SYNASC Steel Phase Kinetics Modeling using Symbolic Regression
DavidPiringer.html
BernhardBloder.html
GabrielKronberger.html
http___dx.doi.org_10.1109_SYNASC57785.2022.00059 http://dx.doi.org/10.1109/SYNASC57785.2022.00059
ICMC2012_Pirnia_McCormack Compressed Multideimensional Trees for Evolutionary Music Representation
AbbasPirnia.html
JonMcCormack.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.298.7424 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.298.7424
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RN5194 Modeling Value-Based Decision-Making Policies Using Genetic Programming
AngeloPirrone.html
FernandGobet.html
https___econtent.hogrefe.com_doi_10.1024_1421-0185_a000241 https://econtent.hogrefe.com/doi/10.1024/1421-0185/a000241
http___dx.doi.org_10.1024_1421-0185_a000241 http://dx.doi.org/10.1024/1421-0185/a000241
pirrone:2023:SGAI Heuristic search of heuristics
AngeloPirrone.html
PeterCRLane.html
LauraBartlett.html
NomanJaved.html
FernandGobet.html
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http___dx.doi.org_10.1007_978-3-031-47994-6_36 http://dx.doi.org/10.1007/978-3-031-47994-6_36
piszcz:gecco05ws Genetic Programming: Parametric Analysis of Structure Altering Mutation Techniques
AlanPiszcz.html
TerenceSoule.html
http___gpbib.cs.ucl.ac.uk_gecco2005wks_papers_0220.pdf http://gpbib.cs.ucl.ac.uk/gecco2005wks/papers/0220.pdf
Piszcz:2006:FLAIRS Genetic Programming: Analysis of Optimal Mutation Rates in a Problem with Varying Difficulty
AlanPiszcz.html
TerenceSoule.html
http___www.aaai.org_Papers_FLAIRS_2006_Flairs06-088.pdf http://www.aaai.org/Papers/FLAIRS/2006/Flairs06-088.pdf
1144149 Dynamics of evolutionary robustness
AlanPiszcz.html
TerenceSoule.html
http___gpbib.cs.ucl.ac.uk_gecco2006_docs_p871.pdf http://gpbib.cs.ucl.ac.uk/gecco2006/docs/p871.pdf
http___dx.doi.org_10.1145_1143997.1144149 http://dx.doi.org/10.1145/1143997.1144149
1144165 A survey of mutation techniques in genetic programming
AlanPiszcz.html
TerenceSoule.html
http___gpbib.cs.ucl.ac.uk_gecco2006_docs_p951.pdf http://gpbib.cs.ucl.ac.uk/gecco2006/docs/p951.pdf
http___dx.doi.org_10.1145_1143997.1144165 http://dx.doi.org/10.1145/1143997.1144165
1144166 Genetic programming: optimal population sizes for varying complexity problems
AlanPiszcz.html
TerenceSoule.html
http___gpbib.cs.ucl.ac.uk_gecco2006_docs_p953.pdf http://gpbib.cs.ucl.ac.uk/gecco2006/docs/p953.pdf
http___dx.doi.org_10.1145_1143997.1144166 http://dx.doi.org/10.1145/1143997.1144166
Piszcz:thesis Towards understanding the Correlation of Problem Difficulty and Parameter Sensitivity in Genetic Programming
AlanPiszcz.html
https___www.uidaho.edu_engr_departments_cs_research_theses https://www.uidaho.edu/engr/departments/cs/research/theses
http___search.proquest.com_docview_305328322 http://search.proquest.com/docview/305328322
Piszcz:2007:lobo Genetic Programming: Parametric Analysis of Structure Altering Mutation Techniques
AlanPiszcz.html
TerenceSoule.html
http___dx.doi.org_10.1007_978-3-540-69432-8_7 http://dx.doi.org/10.1007/978-3-540-69432-8_7
Piszcz:2007:IJICA Genetic programming: profiling reasonable parameter value windows with varying problem difficulty
AlanPiszcz.html
TerenceSoule.html
http___dx.doi.org_10.1504_IJICA.2007.016792 http://dx.doi.org/10.1504/IJICA.2007.016792
hons_0308 Feature selection applied to classification of cancerous tissue
JoelPeterWilliamPitt.html
http___www.cosc.canterbury.ac.nz_research_reports_HonsReps_2003_hons_0308.pdf http://www.cosc.canterbury.ac.nz/research/reports/HonsReps/2003/hons_0308.pdf
Pitzer:2011:LINDI Production fine planning using a solution archive of priority rules
ErikPitzer.html
AndreasBeham.html
MichaelAffenzeller.html
HelgaHeiss.html
MarkusVorderwinkler.html
http___dx.doi.org_10.1109_LINDI.2011.6031130 http://dx.doi.org/10.1109/LINDI.2011.6031130
Piwowar20091869 An efficient process to reduce infrastructure vulnerabilities facing malevolence
JulienPiwowar.html
EricChatelet.html
PatrickLaclemence.html
http___dx.doi.org_10.1016_j.ress.2009.06.009 http://dx.doi.org/10.1016/j.ress.2009.06.009
Pizzuti:2010:ICEC Using Self-Similarity to Adapt Evolutionary Ensembles for the Distributed Classification of Data Streams
ClaraPizzuti.html
GiandomenicoSpezzano.html
http___www.robinbye.com_files_publications_ICEC_2010.pdf http://www.robinbye.com/files/publications/ICEC_2010.pdf
https___www.scitepress.org_PublishedPapers_2010_30749_ https://www.scitepress.org/PublishedPapers/2010/30749/
http___dx.doi.org_10.5220_0003074901760181 http://dx.doi.org/10.5220/0003074901760181
Plagianakos:2008:AiDE A Review of Major Application Areas of Differential Evolution
VPPlagianakos.html
DimitrisKTasoulis.html
MichaelNVrahatis.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.301.4869 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.301.4869
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.301.4869.pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.301.4869.pdf
http___dx.doi.org_10.1007_978-3-540-68830-3_8 http://dx.doi.org/10.1007/978-3-540-68830-3_8
Planinic:2021:CEC On the Application of e-Lexicase Selection in the Generation of Dispatching Rules
LucijaPlaninic.html
MarkoDurasevic.html
DomagojJakobovic.html
http___dx.doi.org_10.1109_CEC45853.2021.9504982 http://dx.doi.org/10.1109/CEC45853.2021.9504982
9659842 Towards Interpretable Dispatching Rules: Application of Expression Simplification Methods
LucijaPlaninic.html
MarkoDurasevic.html
DomagojJakobovic.html
http___dx.doi.org_10.1109_SSCI50451.2021.9659842 http://dx.doi.org/10.1109/SSCI50451.2021.9659842
9713874 A Comparative Study of Dispatching Rule Representations in Evolutionary Algorithms for the Dynamic Unrelated Machines Environment
LucijaPlaninic.html
HrvojeBackovic.html
MarkoDurasevic.html
DomagojJakobovic.html
http___dx.doi.org_10.1109_ACCESS.2022.3151346 http://dx.doi.org/10.1109/ACCESS.2022.3151346
Plant:2008:cec An Overview of Genetic Algorithms in Simulation Soccer
WilliamRPlant.html
GeraldSchaefer.html
TomoharuNakashima.html
http___dx.doi.org_10.1109_CEC.2008.4631327 http://dx.doi.org/10.1109/CEC.2008.4631327
Platos:2011:HIS Tension estimation by fuzzy predictors in heavy facilities
JanPlatos.html
VaclavSnasel.html
PavelKromer.html
PetrFiala.html
http___dx.doi.org_10.1109_HIS.2011.6122163 http://dx.doi.org/10.1109/HIS.2011.6122163
Plotkin:2003:JOLT Computer Programming and the Automation of Invention: A Case for Software Patent Reform
RobertPlotkin.html
http___www.lawtechjournal.com_articles_2003_07_040127_plotkin.pdf http://www.lawtechjournal.com/articles/2003/07_040127_plotkin.pdf
http___papers.ssrn.com_sol3_papers.cfm_abstract_id_503822 http://papers.ssrn.com/sol3/papers.cfm?abstract_id=503822
Plotkin:book The Genie in the Machine: How Computer-Automated Inventing is Revolutionizing Law and Business
RobertPlotkin.html
http___www.automatinginvention.com_the-genie-in-the-machine.html http://www.automatinginvention.com/the-genie-in-the-machine.html
Podbregar:2003:R Predicting defibrillation success by 'genetic' programming in patients with out-of-hospital cardiac arrest
MPodbregar.html
MihaKovacic.html
APodbregar-Mars.html
MiranBrezocnik.html
http___www.sciencedirect.com_science_article_B6T19-48D3F91-3_2_1a3ece76d7e7c59fb51615980e9791a6 http://www.sciencedirect.com/science/article/B6T19-48D3F91-3/2/1a3ece76d7e7c59fb51615980e9791a6
http___dx.doi.org_10.1016_S0300-9572_03_00030-3 http://dx.doi.org/10.1016/S0300-9572(03)00030-3
podgorelec:1999:MDPGP Medical Diagnosis Prediction using Genetic Programming
ViliPodgorelec.html
http___lsd.uni-mb.si_vili_gecco99_ http://lsd.uni-mb.si/vili/gecco99/
podgorelec:2000:fpbfcm Fighting Program Bloat with the Fractal Complexity Measure
ViliPodgorelec.html
PeterKokol.html
http___dx.doi.org_10.1007_978-3-540-46239-2_25 http://dx.doi.org/10.1007/978-3-540-46239-2_25
Podgorelec:2005:Informatica Complexity-driven Evolution of Decision Graphs for Classification of Medical Data
ViliPodgorelec.html
http___www.informatica.si_PDF_29-1_04_Podgorelc-Complexity-driven_20evolution_20of...pdf http://www.informatica.si/PDF/29-1/04_Podgorelc-Complexity-driven%20evolution%20of...pdf
Podgornik:2010:ECRS Residual stress field analysis and prediction in nitrided tool steel
BojanPodgornik.html
VojtehLeskovsek.html
MihaKovacic.html
JosefVizintin.html
Podgornik:2011:MSF Analysis and Prediction of Residual Stresses in Nitrided Tool Steel
BojanPodgornik.html
VojtehLeskovsek.html
MihaKovacic.html
JosefVizintin.html
http___www.scientific.net_MSF.681.352 http://www.scientific.net/MSF.681.352
http___dx.doi.org_10.4028_www.scientific.net_MSF.681.352 http://dx.doi.org/10.4028/www.scientific.net/MSF.681.352
Podgornik:2011:MMP Residual Stress Field Analysis and Prediction in Nitrided Tool Steel
BojanPodgornik.html
VojtehLeskovsek.html
MihaKovacic.html
JosefVizintin.html
http___www.tandfonline.com_doi_abs_10.1080_10426914.2010.525573 http://www.tandfonline.com/doi/abs/10.1080/10426914.2010.525573
http___dx.doi.org_10.1080_10426914.2010.525573 http://dx.doi.org/10.1080/10426914.2010.525573
Podola2012254 Genetic Programming as a tool for identification of analyte-specificity from complex response patterns using a non-specific whole-cell biosensor
BjoernPodola.html
MichaelMelkonian.html
http___dx.doi.org_10.1016_j.bios.2012.01.015 http://dx.doi.org/10.1016/j.bios.2012.01.015
http___www.sciencedirect.com_science_article_pii_S0956566312000334 http://www.sciencedirect.com/science/article/pii/S0956566312000334
Podusenko:2018:Actuators Coevolution of the Features of the Dynamics of the Accelerator Pedal and Hyperparameters of the Classifier for Emergency Braking Detection
AlbertPodusenko.html
VsevolodNikulin.html
IvanTTanev.html
KatsunoriShimohara.html
http___www.mdpi.com_journal_actuators http://www.mdpi.com/journal/actuators
http___www.mdpi.com_2076-0825_7_3 http://www.mdpi.com/2076-0825/7/3
http___www.mdpi.com_2076-0825_7_3_39_pdf http://www.mdpi.com/2076-0825/7/3/39/pdf
http___dx.doi.org_10.3390_act7030039 http://dx.doi.org/10.3390/act7030039
POGGI:2021:AST Surrogate models for predicting noise emission and aerodynamic performance of propellers
CaterinaPoggi.html
MonicaRossetti.html
GiovanniBernardini.html
UmbertoIemma.html
CristianoAndolfi.html
ChristianMilano.html
MassimoGennaretti.html
http___dx.doi.org_10.1016_j.ast.2021.107016 http://dx.doi.org/10.1016/j.ast.2021.107016
https___www.sciencedirect.com_science_article_pii_S1270963821005265 https://www.sciencedirect.com/science/article/pii/S1270963821005265
pohlheim:1996:gspmuGA Generation of structured process models using genetic algorithms
HartmutPohlheim.html
PeterMarenbach.html
http___www.rtr.tu-darmstadt.de_fileadmin_literature_rst_96_26.pdf http://www.rtr.tu-darmstadt.de/fileadmin/literature/rst_96_26.pdf
http___dx.doi.org_10.1007_BFb0032776 http://dx.doi.org/10.1007/BFb0032776
pohlheim:1998:egspmGP Evolution\"are Generierung strukturierter Prozessmodelle mit Genetischer Programmierung
HartmutPohlheim.html
ASchutte.html
PoPat07-1 Methods and systems for automatically generating provably correct computer program code
WolfgangHPolak.html
http___www.pocs.com_polak_bib.html http://www.pocs.com/polak_bib.html
http___patft.uspto.gov_netacgi_nph-Parser_Sect1_PTO1_Sect2_HITOFF_d_PALL_p_1_u__2Fnetahtml_2FPTO_2Fsrchnum.htm_r_1_f_G_l_50_s1_7243086.PN._OS_PN_7243086_RS_PN_7243086 http://patft.uspto.gov/netacgi/nph-Parser?Sect1=PTO1&Sect2=HITOFF&d=PALL&p=1&u=%2Fnetahtml%2FPTO%2Fsrchnum.htm&r=1&f=G&l=50&s1=7243086.PN.&OS=PN/7243086&RS=PN/7243086
Polanco-Martagon:2014:MICAI White Box Model of Feasible Solutions of Unity Gain Cells
SaidPolanco-Martagon.html
JoseRuiz-Ascencio.html
http___dx.doi.org_10.1109_MICAI.2014.32 http://dx.doi.org/10.1109/MICAI.2014.32
Polanco-Martagon:2016:dyna Symbolic modeling of the Pareto-Optimal sets of two unity gain cells
SaidPolanco-Martagon.html
JoseRuiz-Ascencio.html
MiguelAurelioDuarte-Villasenor.html
https___dialnet.unirioja.es_servlet_oaiart_codigo_6060032 https://dialnet.unirioja.es/servlet/oaiart?codigo=6060032
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http___dx.doi.org_10.15446_dyna.v83n197.50919 http://dx.doi.org/10.15446/dyna.v83n197.50919
Poland:1997:wspaGP Evolution of a Sailboat Piloting Algorithm using Genetic Programming
DouglasNPoland.html
polgreen-a Synthesis without Syntactic Templates
ElizabethPolgreen.html
https___ora.ox.ac.uk_objects_uuid_3cd96a82-4a62-4a7f-a68e-5b37f7396b0e https://ora.ox.ac.uk/objects/uuid:3cd96a82-4a62-4a7f-a68e-5b37f7396b0e
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https___polgreen.github.io_polgreen_thesis.pdf https://polgreen.github.io/polgreen_thesis.pdf
poli:1996:GPiaTR Genetic Programming for Image Analysis
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poli:1996:GPfdis Genetic Programming for Feature Detection and Image Segmentation
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poli:1996:GPia Genetic Programming for Image Analysis
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poli:1996:WSC Some Steps Towards a Form of Parallel Distributed Genetic Programming
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poli:1997:sn-snn Discovery of Symbolic, Neuro-Symbolic and Neural Networks with Parallel Distributed Genetic Programming
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http___dx.doi.org_10.1007_978-3-7091-6492-1_92 http://dx.doi.org/10.1007/978-3-7091-6492-1_92
Poli:1996:nnPDGP Discovery of Symbolic, Neuro-Symbolic and Neural Networks with Parallel Distributed Genetic Programming
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poli:1996:PDGPtr Parallel Distributed Genetic Programming
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poli:1997:schemaTR A New Schema Theory for Genetic Programming with One-Point Crossover and Point Mutation
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poli:1997:schema A New Schema Theory for Genetic Programming with One-point Crossover and Point Mutation
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poli:1997:gpxls Is Crossover a Local Search Operator?
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poli:1997:tesTR A Review of Theoretical and Experimental Results on Schemata in Genetic Programming
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poli:1998:evsnTR Short Term Extinction Probability of Newly Created Schemata, and Schema Variance and Signal-to-Noise-Ratio Theorems in the Presence of Schema Creation
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poli:1998:evsn Analysis of Schema Variance and Short Term Extinction Likelihoods
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poli:1998:localTR On the Ability to Search the Space of Programs of Standard, One-point and Uniform Crossover in Genetic Programming
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poli:1998:local On the Search Properties of Different Crossover Operators in Genetic Programming
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Poli:1998:egplb Late Breaking Papers at EuroGP'98: the First European Workshop on Genetic Programming
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poli:1998:schema Schema Theory for Genetic Programming with One-point Crossover and Point Mutation
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poli:1998:smcGPtr Sub-machine-code Genetic Programming
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poli:CSRP-98-19 Efficient Evolution of Parallel Binary Multipliers and Continuous Symbolic Regression Expressions with Sub-Machine-Code GP
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poli:1999:22parTR Solving Even-12, -13, -15, -17, -20 and -22 Boolean Parity Problems using Sub-machine Code GP with Smooth Uniform Crossover, Smooth Point Mutation and Demes
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poli:1999:aigp3 Sub-machine-code Genetic Programming
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poli:CSRP-99-13 Schema Theory without Expectations for GP and GAs with One-Point Crossover in the Presence of Schema Creation
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poli:1999:GP Genetic Programming, Proceedings of EuroGP'99
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poli:1999:smcGP:nre Sub-Machine-Code GP: New Results and Extensions
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poli:1999:22par Smooth Uniform Crossover, Sub-Machine Code GP and Demes: A Recipe For Solving High-Order Boolean Parity Problems
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poli:1999:fogp Schema Theory without Expectations for GP and GAs with One-Point Crossover in the presence of Schema Creation
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Poli:1999:nio Parallel Distributed Genetic Programming
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poli:CSRP-99-18 New Results in the Schema Theory for GP with One-Point Crossover which Account for Schema Creation, Survival and Disruption
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poli:CSRP-00-1 A Macroscopic Exact Schema Theorem and a Redefinition of Effective Fitness for GP with One-Point Crossover
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Poli00-2 On Fitness Proportionate Selection and the Schema Theorem in the Presence of Stochastic Effects
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poli:2000:htGP1xbb Hyperschema Theory for GP with One-Point Crossover, Building Blocks, and Some New Results in GA Theory
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poli:2000:22par Solving High-Order Boolean Parity Problems with Smooth Uniform Crossover, Sub-Machine Code GP and Demes
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Poli:2000:GECCO Exact Schema Theorem and Effective Fitness for GP with One-Point Crossover
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Poli00 Exact Schema Theorems for GP with One-Point and Standard Crossover Operating on Linear Structures and their Application to the Study of the Evolution of Size
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Poli00b Microscopic and Macroscopic Schema Theories for Genetic Programming and Variable-length Genetic Algorithms with One-Point Crossover, their Use and their Relations with Earlier GP and GA Schema Theories
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Poli00-16 General Schema Theory for Genetic Programming with Subtree-Swapping Crossover
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Poli00-23 Exact GP Schema Theory for Headless Chicken Crossover and Subtree Mutation
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Poli01 Markov Models for GP and Variable-length GAs with Homologous Crossover
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poli:2001:EuroGP_exact Exact Schema Theorems for GP with One-Point and Standard Crossover Operating on Linear Structures and their Application to the Study of the Evolution of Size
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poli:2001:EuroGP_general General Schema Theory for Genetic Programming with Subtree-Swapping Crossover
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poli:2001:GPEM Exact Schema Theory for Genetic Programming and Variable-Length Genetic Algorithms with One-Point Crossover
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poli2:2001:gecco Markov Chain Models for GP and Variable-length GAs with Homologous Crossover
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poli:2001:gecco Exact Schema Theory for GP and Variable-length GAs with Homologous Crossover
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poli:2001:deaapd Dynamics of Evolutionary Algorithms: A Panel Discussion
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poil:2001:egsthccsm Exact GP Schema Theory for Headless Chicken Crossover and Subtree Mutation
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poli:2001:CSM350 Diffusion in Linear Genetic Programming and Variable-Length Genetic Algorithms with Subtree Crossover
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poli:2002:CSM352 On the Search Biases of Homologous Crossover in Linear Genetic Programming and Variable-length Genetic Algorithms
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poli:2002:gecco On The Search Biases Of Homologuous Crossover In Linear Genetic Programming And Variable-length Genetic Algorithms
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poli:2002:foga A schema theory based extension of Geiringer's theorem for linear GP and variable length GAs under homologous crossover
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poli:2002:bookshelf Bookshelf Foundations of Generic Programing
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poli03:ECJ_gener_schem_part_I General Schema theory for genetic programming with subtree-swapping crossover: Part I
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poli03:ECJ_gener_schem_part_II General Schema theory for genetic programming with subtree-swapping crossover: Part II
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poli03 A Simple but Theoretically-motivated Method to Control Bloat in Genetic Programming
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poli:2003:GPTP Foreword
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poli:2003:JASP Editorial
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poli:2004:GPEM Exact Schema Theory and Markov Chain Models for Genetic Programming and Variable-length Genetic Algorithms with Homologous Crossover
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poli:2004:eurogp Constrained Molecular Dynamics as a Search and Optimization Tool
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poli04:_tinyg TinyGP
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poli:2005:eurogp Extending Particle Swarm Optimisation via Genetic Programming
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CSM-425 Backward-chaining Genetic Programming
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poli:2005:GPTP Running Genetic Programming Backward
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poli:2005:geccoBC Backward-chaining genetic programming
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poli:2006:IJCIR The Building Block Basis for Genetic Programming and Variable-length Genetic Algorithms
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poli:2006:CSM446 Emergent Behaviour, Population-based Search and Low-pass Filtering
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poli:2006:GPTP Efficient Markov chain model of machine code program execution and halting
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poli:2006:cec Emergent Behaviour, Population-based Search and Low-pass Filtering
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poli:2006:CSM464 On the Limiting Distribution of Program Sizes in Tree-based Genetic Programming
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poli:2007:eurogp On the Limiting Distribution of Program Sizes in Tree-based Genetic Programming
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WilliamBLangdon.html
StephenDignum.html
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Poli:2007:cec A Histogram-Matching Approach to the Evolution of Bin-Packing Strategies
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JohnRWoodward.html
EdmundBurke.html
http___dx.doi.org_10.1109_CEC.2007.4424926 http://dx.doi.org/10.1109/CEC.2007.4424926
ces475 Genetic Programming An Introductory Tutorial and a Survey of Techniques and Applications
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poli:2008:cihb Genetic Programming: An Introduction and Tutorial, with a Survey of techniques and Applications
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CES-479 A Linear Estimation-of-Distribution GP System
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poli08:_linear_estim_distr_gp_system A Linear Estimation-of-Distribution GP System
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http___dx.doi.org_10.1007_978-3-540-78671-9_18 http://dx.doi.org/10.1007/978-3-540-78671-9_18
CES-480 Covariant Parsimony Pressure for Genetic Programming
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poli08:fieldguide A field guide to genetic programming
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Poli:2008:GPTP Analysis of the Effects of Elitism on Bloat in Linear and Tree-based Genetic Programming
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NicholasFreitagMcPhee.html
LeonardoVanneschi.html
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Poli:2008:geccoi The impact of population size on code growth in GP: analysis and empirical validation
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NicholasFreitagMcPhee.html
LeonardoVanneschi.html
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Poli:2008:geccoe Elitism reduces bloat in genetic programming
RiccardoPoli.html
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LeonardoVanneschi.html
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Poli:2008:geccop Parsimony Pressure Made Easy
RiccardoPoli.html
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http___dx.doi.org_10.1145_1389095.1389340 http://dx.doi.org/10.1145/1389095.1389340
Poli:2008:geccocomp Genetic programming theory
RiccardoPoli.html
http___gpbib.cs.ucl.ac.uk_gecco2008_docs_p2559.pdf http://gpbib.cs.ucl.ac.uk/gecco2008/docs/p2559.pdf
http___dx.doi.org_10.1145_1388969.1389068 http://dx.doi.org/10.1145/1388969.1389068
poli:2009:foga Free lunches for function and program induction
RiccardoPoli.html
MarioGraffGuerrero.html
NicholasFreitagMcPhee.html
http___dx.doi.org_10.1145_1527125.1527148 http://dx.doi.org/10.1145/1527125.1527148
Poli:2009:eurogp Memory with Memory in Tree-based Genetic Programming
RiccardoPoli.html
NicholasFreitagMcPhee.html
LucaCiti.html
ElleryFussellCrane.html
http___dx.doi.org_10.1007_978-3-642-01181-8_3 http://dx.doi.org/10.1007/978-3-642-01181-8_3
Poli:2009:eurogp2 There is a Free Lunch for Hyper-Heuristics, Genetic Programming and Computer Scientists
RiccardoPoli.html
MarioGraffGuerrero.html
http___dx.doi.org_10.1007_978-3-642-01181-8_17 http://dx.doi.org/10.1007/978-3-642-01181-8_17
DBLP:conf/gecco/PoliG09 Free lunches for neural network search
RiccardoPoli.html
MarioGraffGuerrero.html
http___dx.doi.org_10.1145_1569901.1570074 http://dx.doi.org/10.1145/1569901.1570074
Poli:2009:JAEA Memory with Memory in Genetic Programming
RiccardoPoli.html
NicholasFreitagMcPhee.html
LucaCiti.html
ElleryFussellCrane.html
http___downloads.hindawi.com_journals_jaea_2009_570606.pdf http://downloads.hindawi.com/journals/jaea/2009/570606.pdf
http___dx.doi.org_10.1155_2009_570606 http://dx.doi.org/10.1155/2009/570606
Poli:2010:EuroGP Solution-Locked Averages and Solution-Time Binning in Genetic Programming
RiccardoPoli.html
http___dx.doi.org_10.1007_978-3-642-12148-7_18 http://dx.doi.org/10.1007/978-3-642-12148-7_18
poli:2010:GPEM Theoretical Results in Genetic Programming: The next ten years?
RiccardoPoli.html
LeonardoVanneschi.html
WilliamBLangdon.html
NicholasFreitagMcPhee.html
https___scholar.google.com_citations_view_op_view_citation_citation_for_view_uR5K07QAAAAJ_aqlVkmm33-oC https://scholar.google.com/citations?view_op=view_citation&citation_for_view=uR5K07QAAAAJ:aqlVkmm33-oC
http___dx.doi.org_10.1007_s10710-010-9110-5 http://dx.doi.org/10.1007/s10710-010-9110-5
Poli:2010:geccocomp Genetic programming theory
RiccardoPoli.html
http___dx.doi.org_10.1145_1830761.1830905 http://dx.doi.org/10.1145/1830761.1830905
Poli:2010:GPTP Covariant Tarpeian Method for Bloat Control in Genetic Programming
RiccardoPoli.html
http___www.springer.com_computer_ai_book_978-1-4419-7746-5 http://www.springer.com/computer/ai/book/978-1-4419-7746-5
http___dx.doi.org_10.1007_978-1-4419-7747-2_5 http://dx.doi.org/10.1007/978-1-4419-7747-2_5
Poli:2011:EuroGP Evolution of a Brain-Computer Interface Mouse via Genetic Programming
RiccardoPoli.html
MathewSalvaris.html
CaterinaCinel.html
http___dx.doi.org_10.1007_978-3-642-20407-4_18 http://dx.doi.org/10.1007/978-3-642-20407-4_18
poli:evoapps11 Evolutionary Synthesis of a Trajectory Integrator for an Analogue Brain-Computer Interface Mouse
RiccardoPoli.html
MathewSalvaris.html
CaterinaCinel.html
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http___dx.doi.org_10.1007_978-3-642-20525-5_22 http://dx.doi.org/10.1007/978-3-642-20525-5_22
Poli:2011:NER A genetic programming approach to detecting artifact-generating eye movements from EEG in the absence of electro-oculogram
RiccardoPoli.html
CaterinaCinel.html
LucaCiti.html
MathewSalvaris.html
http___dx.doi.org_10.1109_NER.2011.5910575 http://dx.doi.org/10.1109/NER.2011.5910575
Poli:2011:GPTP Evolution of an Effective Brain-Computer Interface Mouse via Genetic Programming with Adaptive Tarpeian Bloat Control
RiccardoPoli.html
MathewSalvaris.html
CaterinaCinel.html
http___dx.doi.org_10.1007_978-1-4614-1770-5_5 http://dx.doi.org/10.1007/978-1-4614-1770-5_5
Poli:2012:GPEM A genetic programming approach to the evolution of brain-computer interfaces for 2-D mouse-pointer control
RiccardoPoli.html
MathewSalvaris.html
CaterinaCinel.html
http___dx.doi.org_10.1007_s10710-012-9161-x http://dx.doi.org/10.1007/s10710-012-9161-x
Poli:2013:TPMDM Parsimony Pressure Made Easy: Solving the Problem of Bloat in GP
RiccardoPoli.html
NicholasFreitagMcPhee.html
http___www.springer.com_computer_ai_book_978-3-642-33205-0 http://www.springer.com/computer/ai/book/978-3-642-33205-0
http___cswww.essex.ac.uk_staff_poli_papers_PoliMcPheeParsimonyPressureMadeEasyChapter.pdf http://cswww.essex.ac.uk/staff/poli/papers/PoliMcPheeParsimonyPressureMadeEasyChapter.pdf
http___dx.doi.org_10.1007_978-3-642-33206-7_9 http://dx.doi.org/10.1007/978-3-642-33206-7_9
Poli:2013:mendel Coarse graining the Dynamics of Evolutionary Algorithms
RiccardoPoli.html
Poli:2014:evcoal Taming the Complexity of Natural and Artificial Evolutionary Dynamics
RiccardoPoli.html
ChristopherRStephens.html
http___dx.doi.org_10.1007_978-3-642-37577-4_2 http://dx.doi.org/10.1007/978-3-642-37577-4_2
http___dx.doi.org_10.1007_978-3-642-37577-4_2 http://dx.doi.org/10.1007/978-3-642-37577-4_2
poliansky:2022:AS From Requirements to Source Code: Evolution of Behavioral Programs
RoyPoliansky.html
MosheSipper.html
AchiyaElyasaf.html
https___www.human-competitive.org_sites_default_files_poliansky-sipper-elyasaf-humies-2022.txt https://www.human-competitive.org/sites/default/files/poliansky-sipper-elyasaf-humies-2022.txt
https___www.mdpi.com_2076-3417_12_3_1587 https://www.mdpi.com/2076-3417/12/3/1587
http___dx.doi.org_10.3390_app12031587 http://dx.doi.org/10.3390/app12031587
Polimon:2008:IJKBIES Automated design of a lightweight block cipher with Genetic Programming
JavierPolimon.html
JulioCesarHernandez-Castro.html
JuanManuelEstevez-Tapiador.html
DArturoRibagordaGarnacho.html
http___content.iospress.com_articles_international-journal-of-knowledge-based-and-intelligent-engineering-systems_kes00141 http://content.iospress.com/articles/international-journal-of-knowledge-based-and-intelligent-engineering-systems/kes00141
http___dx.doi.org_10.3233_KES-2008-12102 http://dx.doi.org/10.3233/KES-2008-12102
Polito:1997:mxm Musica ex Machina: Composing 16th-Century Counterpoint with Genetic Programming and Symbiosis
JohnAPolito2.html
JasonMDaida.html
TommasoFBersano-Begey.html
ftp___ftp.eecs.umich.edu_people_daida_papers_EP97muse.pdf ftp://ftp.eecs.umich.edu/people/daida/papers/EP97muse.pdf
http___dx.doi.org_10.1007_BFb0014805 http://dx.doi.org/10.1007/BFb0014805
Polkowski:2006:UMA Book Review: Una-May O'Reilly, Tina Yu, Rick Riolo and Bill Worzel (eds) $\bullet$ Genetic Programming Theory and Practice II. Springer Science+Business Media, Inc. (2005). ISBN 0-387-23253-2. \$129.00. 320 pp. Hardbound
LechPolkowski.html
http___comjnl.oxfordjournals.org_cgi_content_full_49_1_127-a http://comjnl.oxfordjournals.org/cgi/content/full/49/1/127-a
http___comjnl.oxfordjournals.org_cgi_reprint_49_1_127-a http://comjnl.oxfordjournals.org/cgi/reprint/49/1/127-a
http___dx.doi.org_10.1093_comjnl_bxh127 http://dx.doi.org/10.1093/comjnl/bxh127
Pollack:2001:FTG First Three Generations of Evolved Robots
JordanBPollack.html
HodLipson.html
PabloJFunes.html
GregorySHornby.html
http___dx.doi.org_10.1007_3-540-45502-7_3 http://dx.doi.org/10.1007/3-540-45502-7_3
pollack:2001:AL Three Generations of Automatically Designed Robots
JordanBPollack.html
HodLipson.html
GregorySHornby.html
PabloJFunes.html
http___ccsl.mae.cornell.edu_papers_Alife01_Pollack.pdf http://ccsl.mae.cornell.edu/papers/Alife01_Pollack.pdf
http___dx.doi.org_10.1162_106454601753238627 http://dx.doi.org/10.1162/106454601753238627
pollack:2003:Leonardo Computer Creativity in the Automatic Design of Robots
JordanBPollack.html
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HodLipson.html
PabloJFunes.html
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http___dx.doi.org_10.1162_002409403321554170 http://dx.doi.org/10.1162/002409403321554170
Pollack:2011:ECAL Prospects for machine embryogenesis
JordanBPollack.html
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Pollatschek:1997:EJOR OR software -- ORSEP Operations Research Software Exchange Program Edited by Professor H.W. Hamacher GP -- A C language implementation of genetic programming
MoshePollatschek.html
http___www.sciencedirect.com_science_article_B6VCT-3SX26WR-P_2_f893336ee80f8c1fb291d68cff557207 http://www.sciencedirect.com/science/article/B6VCT-3SX26WR-P/2/f893336ee80f8c1fb291d68cff557207
http___dx.doi.org_10.1016_S0377-2217_97_00053-2 http://dx.doi.org/10.1016/S0377-2217(97)00053-2
DBLP:journals/corr/abs-2103-01301 Multi-Objective Evolutionary Design of Composite Data-Driven Models
IanaSPolonskaia.html
NikolayONikitin.html
IliaRevin.html
PavelVychuzhanin.html
AnnaVKalyuzhnaya.html
https___dblp.org_rec_journals_corr_abs-2103-01301.bib https://dblp.org/rec/journals/corr/abs-2103-01301.bib
http___www.human-competitive.org_sites_default_files_nikitin_human_competitive.txt http://www.human-competitive.org/sites/default/files/nikitin_human_competitive.txt
http___www.human-competitive.org_sites_default_files_cec_2021_0.pdf http://www.human-competitive.org/sites/default/files/cec_2021_0.pdf
https___arxiv.org_abs_2103.01301 https://arxiv.org/abs/2103.01301
POLONSKAIA:2021:PCS Automated Evolutionary Design of CNN Classifiers for Object Recognition on Satellite Images
IanaSPolonskaia.html
IlyaRAliev.html
NikolayONikitin.html
http___dx.doi.org_10.1016_j.procs.2021.10.021 http://dx.doi.org/10.1016/j.procs.2021.10.021
https___www.sciencedirect.com_science_article_pii_S1877050921020627 https://www.sciencedirect.com/science/article/pii/S1877050921020627
Polyn:2001:SSgA SSgA may implement genetic programming investment model
GallagherPolyn.html
http___www.risk.net_risk-magazine_news_1518070_ssga-implement-genetic-programming-investment-model http://www.risk.net/risk-magazine/news/1518070/ssga-implement-genetic-programming-investment-model
pommer:2021:AI A NEAT Based Two Stage Neural Network Approach to Generate a Control Algorithm for a Pultrusion System
ChristianPommer.html
MichaelSinapius.html
MarcoBrysch.html
NaserAlNatsheh.html
https___www.mdpi.com_2673-2688_2_3_22 https://www.mdpi.com/2673-2688/2/3/22
http___dx.doi.org_10.3390_ai2030022 http://dx.doi.org/10.3390/ai2030022
poncin:2003:EMTUGP Evolving 3D Models of Trees Using Genetic Programming
GuillaumePoncin.html
http___www.genetic-programming.org_sp2003_Poncin.pdf http://www.genetic-programming.org/sp2003/Poncin.pdf
Poor:2017:IJACSA A Genetic Programming based Algorithm for Predicting Exchanges in Electronic Trade using Social Networks' Data
ShokoohSheikhAbooliPoor.html
MohammadEbrahimShiriAhmadAbady.html
http___thesai.org_Downloads_Volume8No5_Paper_24-A_Genetic_Programming_based_Algorithm.pdf http://thesai.org/Downloads/Volume8No5/Paper_24-A_Genetic_Programming_based_Algorithm.pdf
http___dx.doi.org_10.14569_IJACSA.2017.080524 http://dx.doi.org/10.14569/IJACSA.2017.080524
conf/hais/PopM11 An Improved Heuristic for the Bandwidth Minimization Based on Genetic Programming
PetricaCPop.html
OliviuMatei.html
http___dx.doi.org_10.1007_978-3-642-21222-2_9 http://dx.doi.org/10.1007/978-3-642-21222-2_9
conf/hais/PopM12 A Genetic Programming Approach for Solving the Linear Ordering Problem
PetricaCPop.html
OliviuMatei.html
http___dx.doi.org_10.1007_978-3-642-28931-6_32 http://dx.doi.org/10.1007/978-3-642-28931-6_32
Pope:2016:SSCI Evolving random graph generators: A case for increased algorithmic primitive granularity
AaronSPope.html
DanielRTauritz.html
AlexanderDKent.html
http___dx.doi.org_10.1109_SSCI.2016.7849929 http://dx.doi.org/10.1109/SSCI.2016.7849929
Pope:2016:ieeeSSCI Evolving Multi-level Graph Partitioning Algorithms
AaronSPope.html
DanielRTauritz.html
AlexanderDKent.html
http___dx.doi.org_10.1109_SSCI.2016.7849930 http://dx.doi.org/10.1109/SSCI.2016.7849930
Pope:2019:GECCOcomp Automated design of random dynamic graph models for enterprise computer network applications
AaronSPope.html
DanielRTauritz.html
ChrisRawlings.html
http___dx.doi.org_10.1145_3319619.3322049 http://dx.doi.org/10.1145/3319619.3322049
Pope:2019:GECCOcompa Automated design of random dynamic graph models
AaronSPope.html
DanielRTauritz.html
ChrisRawlings.html
http___dx.doi.org_10.1145_3319619.3326859 http://dx.doi.org/10.1145/3319619.3326859
Pope:2019:GECCOcompb Automated design of tailored link prediction heuristics for applications in enterprise network security
AaronSPope.html
DanielRTauritz.html
MelissaTurcotte.html
http___dx.doi.org_10.1145_3319619.3326861 http://dx.doi.org/10.1145/3319619.3326861
Pope:2020:GECCO Automated Design of Multi-Level Network Partitioning Heuristics Employing Self-Adaptive Primitive Granularity Control
AaronSPope.html
DanielRTauritz.html
https___doi.org_10.1145_3377930.3389819 https://doi.org/10.1145/3377930.3389819
http___dx.doi.org_10.1145_3377930.3389819 http://dx.doi.org/10.1145/3377930.3389819
DBLP:conf/ices/PopelkaO08 Parallel Grammatical Evolution for Circuit Optimization
OndrejPopelka.html
PavelOsmera.html
http___dx.doi.org_10.1007_978-3-540-85857-7_40 http://dx.doi.org/10.1007/978-3-540-85857-7_40
popp:1998:smc Automated hardware design using genetic programming, VHDL, and FPGAs
RobertLPopp.html
DavidJMontana.html
RichardRGassner.html
GordonVidaver.html
SurajIyer.html
http___dx.doi.org_10.1109_ICSMC.1998.724979 http://dx.doi.org/10.1109/ICSMC.1998.724979
Popyack:2016:GPEM Gusz Eiben and Jim Smith: Introduction to evolutionary computing (second edition) Springer, 2015, 299 pp, ISBN: 978-3-662-44874-8
JeffreyLPopyack.html
http___dx.doi.org_10.1007_s10710-016-9267-7 http://dx.doi.org/10.1007/s10710-016-9267-7
porter:1996:capd Computer-aided Polymer Design using Genetic Programming
MarkAPorter.html
MarkJWillis.html
HugoHiden.html
porter:1998:csaGPdm A Comparison of Symbolic Annealing and Genetic Programming for Data-based Modelling
MarkAPorter.html
MarkJWillis.html
GaryAMontague.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_gp1998_porter_1998_csaGPdm.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/gp1998/porter_1998_csaGPdm.pdf
porter:1999:MAPSSHSA Modelling Antibiotic Production using Standard and Sequential Hybridised Symbolic Annealing
MarkAPorter.html
MarkJWillis.html
GaryAMontague.html
http___gpbib.cs.ucl.ac.uk_gecco1999_RW-745.pdf http://gpbib.cs.ucl.ac.uk/gecco1999/RW-745.pdf
http___gpbib.cs.ucl.ac.uk_gecco1999_RW-745.ps http://gpbib.cs.ucl.ac.uk/gecco1999/RW-745.ps
portman:2022:GECCOcomp On the interaction between Lexicase Selection, Modularity and Data Subsets
BenjaminPortman.html
MalcolmHeywood.html
http___dx.doi.org_10.1145_3520304.3528765 http://dx.doi.org/10.1145/3520304.3528765
https___vimeo.com_723511473 https://vimeo.com/723511473
Pospichal:2013:HBO Symbolic Regression of Boolean Functions by Genetic Programming
JiriPospichal.html
LubomirVarga.html
VladimirKvasnicka.html
http___dx.doi.org_10.1007_978-3-642-30504-7_11 http://dx.doi.org/10.1007/978-3-642-30504-7_11
Pospichal:2011:GECCOcomp Acceleration of grammatical evolution using graphics processing units: computational intelligence on consumer games and graphics hardware
PetrPospichal.html
EoinMurphy.html
MichaelO'Neill.html
JosefSchwarz.html
JiriJaros.html
http___dx.doi.org_10.1145_2001858.2002030 http://dx.doi.org/10.1145/2001858.2002030
Potapov:2013:AGI Universal Induction with Varying Sets of Combinators
AlexeyPotapov.html
SergeyRodionov.html
http___dx.doi.org_10.1007_978-3-642-39521-5_10 http://dx.doi.org/10.1007/978-3-642-39521-5_10
http___dx.doi.org_10.1007_978-3-642-39521-5_10 http://dx.doi.org/10.1007/978-3-642-39521-5_10
http___arxiv.org_abs_1306.0095 http://arxiv.org/abs/1306.0095
Potapov:2015:AGI Optimization Framework with Minimum Description Length Principle for Probabilistic Programming
AlexeyPotapov.html
VitaBatishcheva.html
SergeyRodionov.html
https___link.springer.com_book_10.1007_2F978-3-319-21365-1 https://link.springer.com/book/10.1007%2F978-3-319-21365-1
http___dx.doi.org_10.1007_978-3-319-21365-1_34 http://dx.doi.org/10.1007/978-3-319-21365-1_34
Potapov:2016:AGI Real-Time GA-Based Probabilistic Programming in Application to Robot Control
AlexeyPotapov.html
SergeyRodionov.html
VitaPotapova.html
http___dx.doi.org_10.1007_978-3-319-41649-6_10 http://dx.doi.org/10.1007/978-3-319-41649-6_10
Potgieter20081513 Evolving model trees for mining data sets with continuous-valued classes
GavinPotgieter.html
AndriesPEngelbrecht.html
http___dx.doi.org_10.1016_j.eswa.2007.08.060 http://dx.doi.org/10.1016/j.eswa.2007.08.060
Potvin:2004:COR Generating trading rules on the stock markets with genetic programming
Jean-YvesPotvin.html
PatrickSoriano.html
MaximeVallee.html
http___dx.doi.org_10.1016_S0305-0548_03_00063-7 http://dx.doi.org/10.1016/S0305-0548(03)00063-7
potvin:2022:GECCOcomp Espresso to the rescue of Genetic Programming facing exponential complexity
NicolasPotvin.html
HuguesBersini.html
DragomirMilojevic.html
http___dx.doi.org_10.1145_3520304.3529005 http://dx.doi.org/10.1145/3520304.3529005
Poulin:2014:PLoSONE Predicting the Risk of Suicide by Analyzing the Text of Clinical Notes
ChrisPoulin.html
BrianShiner.html
PaulThompson.html
LinasVepstas.html
YinongYoung-Xu.html
BenGoertzel.html
BradleyWatts.html
LauraFlashman.html
ThomasMcAllister.html
http___www.ncbi.nlm.nih.gov_pmc_articles_PMC3904866 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3904866
http___www.ncbi.nlm.nih.gov_pubmed_24489669 http://www.ncbi.nlm.nih.gov/pubmed/24489669
http___dx.doi.org_10.1371_journal.pone.0085733 http://dx.doi.org/10.1371/journal.pone.0085733
http___dx.doi.org_10.1371_journal.pone.0085733 http://dx.doi.org/10.1371/journal.pone.0085733
oai:doaj.org/article:d32ae083df124d06bca10ce089b34981 Genetic Programming for the Downscaling of Extreme Rainfall Events on the East Coast of Peninsular Malaysia
SaharHadipour.html
SobribinHarun.html
ShamsuddinShahid.html
http___www.mdpi.com_2073-4433_5_4_914 http://www.mdpi.com/2073-4433/5/4/914
http___dx.doi.org_10.3390_atmos5040914 http://dx.doi.org/10.3390/atmos5040914
Pouraliakbar:2014:CI Toughness prediction in functionally graded Al6061/SiCp composites produced by roll-bonding
HesamPouraliakbar.html
AsalHosseiniMonazzah.html
RezaBagheri.html
SeyedMortezaSeyedReihani.html
GholamrezaKhalaj.html
AliNazari.html
MohammadRezaJandaghi.html
http___dx.doi.org_10.1016_j.ceramint.2014.01.103 http://dx.doi.org/10.1016/j.ceramint.2014.01.103
http___www.sciencedirect.com_science_article_pii_S0272884214001308 http://www.sciencedirect.com/science/article/pii/S0272884214001308
POURPANAH:2019:ASC Feature selection based on brain storm optimization for data classification
FarhadPourpanah.html
YuhuiShi.html
CheePengLim.html
QiHao.html
ChooJunTan.html
http___dx.doi.org_10.1016_j.asoc.2019.04.037 http://dx.doi.org/10.1016/j.asoc.2019.04.037
http___www.sciencedirect.com_science_article_pii_S1568494619302297 http://www.sciencedirect.com/science/article/pii/S1568494619302297
Pourzangbar:2017:CE Prediction of non-breaking wave induced scour depth at the trunk section of breakwaters using Genetic Programming and Artificial Neural Networks
AliPourzangbar.html
MiguelALosada.html
AnisehSaber.html
LidaRasoulAhari.html
PhilippeLarroude.html
MostafaVaezi.html
MaurizioBrocchini.html
http___dx.doi.org_10.1016_j.coastaleng.2016.12.008 http://dx.doi.org/10.1016/j.coastaleng.2016.12.008
http___www.sciencedirect.com_science_article_pii_S0378383916304586 http://www.sciencedirect.com/science/article/pii/S0378383916304586
povinelli:2004:GPEM Book Review: Foundations of Genetic Programming
RichardJPovinelli.html
http___dx.doi.org_10.1023_B_GENP.0000030222.30886.fa http://dx.doi.org/10.1023/B:GENP.0000030222.30886.fa
Povoa:2018:CEC Multi-Modal Optimization by Multi-Gene Genetic Programming
RogerioCBLPovoa.html
AdrianoSoaresKoshiyama.html
DouglasMotaDias.html
PatriciaLSouza.html
BrunoACHorta.html
http___dx.doi.org_10.1109_CEC.2018.8477715 http://dx.doi.org/10.1109/CEC.2018.8477715
Povoa:GPEM Unimodal optimization using a genetic-programming-based method with periodic boundary conditions
RogerioCBLPovoa.html
AdrianoSoaresKoshiyama.html
DouglasMotaDias.html
PatriciaLSouza.html
BrunoACHorta.html
http___dx.doi.org_10.1007_s10710-019-09373-1 http://dx.doi.org/10.1007/s10710-019-09373-1
Povoa:thesis Development of unimodal and multimodal optimization algorithms based on multi-gene genetic programming
RogerioCBLPovoa.html
https___www.maxwell.vrac.puc-rio.br_34935_34935.PDF https://www.maxwell.vrac.puc-rio.br/34935/34935.PDF
https___www.maxwell.vrac.puc-rio.br_colecao.php_strSecao_resultado_nrSeq_34935_2 https://www.maxwell.vrac.puc-rio.br/colecao.php?strSecao=resultado&nrSeq=34935@2
http___dx.doi.org_10.17771_pucrio.acad.34935 http://dx.doi.org/10.17771/pucrio.acad.34935
Povoda:2015:SPIN Job shop scheduling problem with heuristic genetic programming operators
LukasPovoda.html
RadimBurget.html
JanMasek.html
MalayKishoreDutta.html
http___dx.doi.org_10.1109_SPIN.2015.7095307 http://dx.doi.org/10.1109/SPIN.2015.7095307
Povoda:thesis Text Mining Based on Artificial Intelligence Methods
LukasPovoda.html
https___www.vutbr.cz_en_students_final-thesis_zp_id_113382 https://www.vutbr.cz/en/students/final-thesis?zp_id=113382
https___www.vutbr.cz_www_base_zav_prace_soubor_verejne.php_file_id_178003 https://www.vutbr.cz/www_base/zav_prace_soubor_verejne.php?file_id=178003
Powell:thesis Applications and enhancements of aircraft design optimization techniques
StephenRPowell.html
http___eprints.soton.ac.uk_348869_ http://eprints.soton.ac.uk/348869/
http___eprints.soton.ac.uk_348869_1_finalThesis2.pdf http://eprints.soton.ac.uk/348869/1/finalThesis2.pdf
powers:1994:trade A Study on the Emergence of Trade in Artificial Organisms
RobPowers.html
journals/npl/PoziSMP16 Improving Anomalous Rare Attack Detection Rate for Intrusion Detection System Using Support Vector Machine and Genetic Programming
MuhammadSyafiqMohdPozi.html
MdNasirSulaiman.html
NorwatiMustapha.html
ThinagaranPerumal.html
http___dx.doi.org_10.1007_s11063-015-9457-y http://dx.doi.org/10.1007/s11063-015-9457-y
DBLP:journals/pai/PoziARA22 SVGPM: evolving SVM decision function by using genetic programming to solve imbalanced classification problem
MuhammadSyafiqMohdPozi.html
NurAthirahAzhar.html
AbdulRafiezAbdulRaziff.html
LinaHazmiAjrina.html
https___doi.org_10.1007_s13748-021-00260-4 https://doi.org/10.1007/s13748-021-00260-4
http___dx.doi.org_10.1007_s13748-021-00260-4 http://dx.doi.org/10.1007/s13748-021-00260-4
https___dblp.org_rec_journals_pai_PoziARA22.bib https://dblp.org/rec/journals/pai/PoziARA22.bib
Pozo:2018:ETCM A Novel Methodology to obtain Optimal PI Controller Gains using Multi-gene Genetic Programming for FOPTD Systems
DPozo.html
LMorales.html
DMaldonado.html
JoseLisandroAguilarCastro.html
http___dx.doi.org_10.1109_ETCM.2018.8580262 http://dx.doi.org/10.1109/ETCM.2018.8580262
Pozzi:1999:ORNL Application of stochastic and artificial intelligence methods for Nuclear Material Identification
SaraAPozzi.html
JavierSegovia.html
http___www.ornl.gov_reports_1999_3445605368018.pdf http://www.ornl.gov/reports/1999/3445605368018.pdf
Pozzi:2002:252Cf 252Cf source-correlated transmission measurements and genetic programming for nuclear safeguards
SaraAPozzi.html
JavierSegovia.html
http___www.sciencedirect.com_science_article_B6TJM-4639JX6-2_2_d30724a2c0a57d2132380c1dd742a106 http://www.sciencedirect.com/science/article/B6TJM-4639JX6-2/2/d30724a2c0a57d2132380c1dd742a106
http___dx.doi.org_10.1016_S0168-9002_02_01120-8 http://dx.doi.org/10.1016/S0168-9002(02)01120-8
Pozzuoli:2023:CEC Increasing Features in MAP-Elites Using an Age-Layered Population Structure
AndrewPozzuoli.html
BrianJRoss.html
http___dx.doi.org_10.1109_CEC53210.2023.10254093 http://dx.doi.org/10.1109/CEC53210.2023.10254093
prabitz:2021:Materials Liquid Metal Embrittlement of Advanced High Strength Steel: Experiments and Damage Modeling
KonstantinManuelPrabitz.html
MohammadZhianAsadzadeh.html
MarliesPichler.html
ThomasAntretter.html
ColineBeal.html
HolgerSchubert.html
BenjaminHilpert.html
MartinGruber.html
RobertSierlinger.html
WernerEcker.html
https___www.mdpi.com_1996-1944_14_18_5451 https://www.mdpi.com/1996-1944/14/18/5451
http___dx.doi.org_10.3390_ma14185451 http://dx.doi.org/10.3390/ma14185451
prachedes:2022:LEOL High-performance Cartesian Genetic Programming on GPU for the Inference of Gene Regulatory Networks using scRNA-Seq Time-Series Data
LucianaPrachedes.html
JoseEduardoHenriquesdaSilva.html
HederSoaresBernardino.html
ItamardeOliveira.html
http___dx.doi.org_10.1145_3520304.3534032 http://dx.doi.org/10.1145/3520304.3534032
oai:CiteSeerX.psu:10.1.1.412.6766 A Genetic Programming Approach for Detection of Diabetes
MadhaviAPradhan.html
GRBamnote.html
VinitTribhuvan.html
KiranJadhav.html
VijayChabukswar.html
VijayDhobale.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.412.6766 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.412.6766
http___www.ijceronline.com_papers_Vol2_issue6_Q026091094.pdf http://www.ijceronline.com/papers/Vol2_issue6/Q026091094.pdf
conf/ficta/PradhanB14a Design of Classifier for Detection of Diabetes Mellitus Using Genetic Programming
MadhaviAPradhan.html
GRBamnote.html
http___dx.doi.org_10.1007_978-3-319-11933-5 http://dx.doi.org/10.1007/978-3-319-11933-5
prado:2002:gecco:lbp A Step-by-Step Description of a Multi-Purpose Evolutionary Algorithm for Phylogenetic Tree Reconstruction
OclairGallaciniPrado.html
FernandoJoseVonZuben.html
37017-prakash-2014-thesis Optimal monitoring network design and identification of unknown pollutant sources in polluted aquifers
OmPrakash.html
http___researchonline.jcu.edu.au_37017_ http://researchonline.jcu.edu.au/37017/
http___researchonline.jcu.edu.au_37017_1_37017-prakash-2014-thesis.pdf http://researchonline.jcu.edu.au/37017/1/37017-prakash-2014-thesis.pdf
Praks:2018:Water Symbolic Regression-Based Genetic Approximations of the Colebrook Equation for Flow Friction
PavelPraks.html
DejanBrkic.html
https___hal.archives-ouvertes.fr_hal-01907146 https://hal.archives-ouvertes.fr/hal-01907146
https___hal.archives-ouvertes.fr_hal-01907146_document https://hal.archives-ouvertes.fr/hal-01907146/document
https___hal.archives-ouvertes.fr_hal-01907146_file_article.pdf https://hal.archives-ouvertes.fr/hal-01907146/file/article.pdf
http___dx.doi.org_10.3390_w10091175 http://dx.doi.org/10.3390/w10091175
Prashanth:2022:ICCD SOMALib: Library of Exact and Approximate Activation Functions for Hardware-efficient Neural Network Accelerators
HCPrashanth.html
MadhavRao.html
http___dx.doi.org_10.1109_ICCD56317.2022.00114 http://dx.doi.org/10.1109/ICCD56317.2022.00114
Prashanth:2023:ISVLSI CellFlow: Automated Standard Cell Design Flow
HCPrashanth.html
PrashanthJonna.html
MadhavRao.html
http___dx.doi.org_10.1109_ISVLSI59464.2023.10238584 http://dx.doi.org/10.1109/ISVLSI59464.2023.10238584
DBLP:conf/ijcci/CR22 Improving Digital Circuit Synthesis of Complex Functions using Binary Weighted Fitness and Variable Mutation Rate in Cartesian Genetic Programming
HCPrashanth.html
MadhavRao.html
https___doi.org_10.5220_0011539000003332 https://doi.org/10.5220/0011539000003332
http___dx.doi.org_10.5220_0011539000003332 http://dx.doi.org/10.5220/0011539000003332
https___dblp.org_rec_conf_ijcci_CR22.bib https://dblp.org/rec/conf/ijcci/CR22.bib
Prashanth:2023:ISQED SQRTLIB : Library of Hardware Square Root Designs
HCPrashanth.html
SSSriniketh.html
HebbarShrikrishna.html
RChinmaye.html
RaoMadhav.html
http___dx.doi.org_10.1109_ISQED57927.2023.10129377 http://dx.doi.org/10.1109/ISQED57927.2023.10129377
Prathilothamai:2017:ICCCI De-duplication of passports using Aadhaar
MPrathilothamai.html
PriyankaSunilNair.html
http___dx.doi.org_10.1109_ICCCI.2017.8117744 http://dx.doi.org/10.1109/ICCCI.2017.8117744
Pratihar:2003:Sadhana Evolutionary robotics - A review
DilipKumarPratihar.html
http___www.ias.ac.in_sadhana_Pdf2003Dec_Pe979.pdf http://www.ias.ac.in/sadhana/Pdf2003Dec/Pe979.pdf
http___dx.doi.org_10.1007_BF02703810 http://dx.doi.org/10.1007/BF02703810
Prcic:thesis Application of genetic programming in wireless communications networks space optimization
Vjekoslav-LeonardPrcic.html
https___urn.nsk.hr_urn_nbn_hr_168_771158 https://urn.nsk.hr/urn:nbn:hr:168:771158
Preciado:2014:HIC Rainfall Interpolation Models Obtained By Means Of Evolutionary Computing
MargaritaElizabethPreciadoJimenez.html
MaritzaLilianaArganisJuarez.html
AlfredoOcon.html
RamonDominguezMora.html
KatyaRodriguez-Vazquez.html
http___www.hic2014.org_xmlui_Preciado_2014_HIC.pdf http://www.hic2014.org/xmlui/Preciado_2014_HIC.pdf
conf/caepia/PreciadoPM03 Genetic Programming for Automatic Generation of Image Processing Algorithms on the CNN Neuroprocessing Architecture
VictorMPreciado.html
MiguelAPreciado.html
MiguelAngelJaramilloMoran.html
http___dx.doi.org_10.1007_b98369 http://dx.doi.org/10.1007/b98369
Preeja:2012:ICDSE Common structural motif identification in genomic sequences
VPreeja.html
KAAbdulNazeer.html
SSVinodChandra.html
http___dx.doi.org_10.1109_ICDSE.2012.6282301 http://dx.doi.org/10.1109/ICDSE.2012.6282301
DBLP:conf/gecco/PreenB09 Discrete dynamical genetic programming in XCS
RichardPreen.html
LarryBull.html
http___dx.doi.org_10.1145_1569901.1570075 http://dx.doi.org/10.1145/1569901.1570075
Preen:2011:ADGPitXLCS Arithmetic Dynamical Genetic Programming in the XCSF Learning Classifier System
RichardPreen.html
LarryBull.html
http___dx.doi.org_10.1109_CEC.2011.5949783 http://dx.doi.org/10.1109/CEC.2011.5949783
Preen:2011:GECCOcomp Fuzzy dynamical genetic programming in XCSF
RichardPreen.html
LarryBull.html
http___dx.doi.org_10.1145_2001858.2001952 http://dx.doi.org/10.1145/2001858.2001952
Preen:thesis Dynamical genetic programming in learning classifier systems
RichardPreen.html
http___eprints.uwe.ac.uk_25852_ http://eprints.uwe.ac.uk/25852/
http___ethos.bl.uk_OrderDetails.do_did_31_uin_uk.bl.ethos.557835 http://ethos.bl.uk/OrderDetails.do?did=31&uin=uk.bl.ethos.557835
Preen:2013:EC Dynamical Genetic Programming in XCSF
RichardPreen.html
LarryBull.html
http___dx.doi.org_10.1162_EVCO_a_00080 http://dx.doi.org/10.1162/EVCO_a_00080
http___results.ref.ac.uk_Submissions_Output_502034 http://results.ref.ac.uk/Submissions/Output/502034
Preen:2013:SC Discrete and fuzzy dynamical genetic programming in the XCSF learning classifier system
RichardPreen.html
LarryBull.html
http___arxiv.org_abs_1201.5604 http://arxiv.org/abs/1201.5604
http___dx.doi.org_10.1007_s00500-013-1044-4 http://dx.doi.org/10.1007/s00500-013-1044-4
Preethy:2013:IJIET A Genetic Programming Slant on the Way to Record De-Duplication in Repositories
SPreethy.html
ADanielDas.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.305.1403 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.305.1403
http___ijiet.com_wp-content_uploads_2013_05_10.pdf http://ijiet.com/wp-content/uploads/2013/05/10.pdf
http___ijiet.com_issues_volume-2-issue-2-april-2013_ http://ijiet.com/issues/volume-2-issue-2-april-2013/
pregowska:2022:Recycling The Application of Artificial Intelligence in the Effective Battery Life Cycle in the Closed Circular Economy Model-A Perspective
AgnieszkaPregowska.html
MagdalenaOsial.html
WeronikaUrbanska.html
https___www.mdpi.com_2313-4321_7_6_81 https://www.mdpi.com/2313-4321/7/6/81
http___dx.doi.org_10.3390_recycling7060081 http://dx.doi.org/10.3390/recycling7060081
Pretorious:2020:IJCNN A Comparative Study of Classifiers for Thumbnail Selection
KylePretorius.html
NelishiaPillay.html
http___dx.doi.org_10.1109_IJCNN48605.2020.9206951 http://dx.doi.org/10.1109/IJCNN48605.2020.9206951
pretorius:2024:GPEM Neural network crossover in genetic algorithms using genetic programming
KylePretorius.html
NelishiaPillay.html
http___dx.doi.org_10.1007_s10710-024-09481-7 http://dx.doi.org/10.1007/s10710-024-09481-7
price:2017:CEC Genetic prOgramming for image feature descriptor learning
StantonRPrice.html
DerekTAnderson.html
http___dx.doi.org_10.1109_CEC.2017.7969398 http://dx.doi.org/10.1109/CEC.2017.7969398
Price:thesis Fusion of evolution constructed features for computer vision
StantonRPrice.html
https___hdl.handle.net_11668_17014 https://hdl.handle.net/11668/17014
http___sun.library.msstate.edu_ETD-db_theses_available_etd-02052018-212022_restricted_PQFINAL.pdf http://sun.library.msstate.edu/ETD-db/theses/available/etd-02052018-212022/restricted/PQFINAL.pdf
https___www.proquest.com_docview_2039435221 https://www.proquest.com/docview/2039435221
Price:2019:CEC GOOFeD: Extracting Advanced Features for Image Classification via Improved Genetic Programming
StantonRPrice.html
DerekTAnderson.html
StevenRPrice.html
http___dx.doi.org_10.1109_CEC.2019.8790347 http://dx.doi.org/10.1109/CEC.2019.8790347
DBLP:conf/cdmake/PrieschlGK19 Using Ontologies to Express Prior Knowledge for Genetic Programming
StefanPrieschl.html
DominicGirardi.html
GabrielKronberger.html
https___doi.org_10.1007_978-3-030-29726-8_23 https://doi.org/10.1007/978-3-030-29726-8_23
http___dx.doi.org_10.1007_978-3-030-29726-8_23 http://dx.doi.org/10.1007/978-3-030-29726-8_23
https___dblp.org_rec_conf_cdmake_PrieschlGK19.bib https://dblp.org/rec/conf/cdmake/PrieschlGK19.bib
Prince:2021:evoapplications A Multi-Objective Evolutionary Algorithm Approach for Optimizing Part Quality Aware Assembly Job Shop Scheduling Problems
MichaelHPrince.html
KristianKDeHaan.html
DanielRTauritz.html
http___dx.doi.org_10.1007_978-3-030-72699-7_7 http://dx.doi.org/10.1007/978-3-030-72699-7_7
pringle:1995:esp ESP: Evolutionary Structured Programming
WilliamRPringle.html
Priyadharshini:2013:IJARAI Genetic Programming for Document Segmentation and Region Classification Using Discipulus
NPriyadharshini.html
MSVijaya.html
http___thesai.org_Publications_ViewIssue_volume_2_issue_2_code_IJARAI http://thesai.org/Publications/ViewIssue?volume=2&issue=2&code=IJARAI
http___thesai.org_Downloads_IJARAI_Volume2No2_Paper_3-Genetic_programming_for_Document_Segmentation_And_Region_Classification_Using_Discipulus.pdf http://thesai.org/Downloads/IJARAI/Volume2No2/Paper_3-Genetic_programming_for_Document_Segmentation_And_Region_Classification_Using_Discipulus.pdf
http___arxiv.org_abs_1303.0460 http://arxiv.org/abs/1303.0460
Prokop:2012:SMC Artificially evolved soft computing models for photovoltaic power plant output estimation
LukasProkop.html
StanislavMisak.html
TomasNovosad.html
PavelKromer.html
JanPlatos.html
VaclavSnasel.html
http___dx.doi.org_10.1109_ICSMC.2012.6377861 http://dx.doi.org/10.1109/ICSMC.2012.6377861
Prokopenko:2006:AL Measuring Spatiotemporal Coordination in a Modular Robotic System
MikhailProkopenko.html
VadimGerasimov.html
IvanTTanev.html
http___www.ict.csiro.au_staff_mikhail.prokopenko_Publications_Agents_Snakebot-Alife-corrected.pdf http://www.ict.csiro.au/staff/mikhail.prokopenko/Publications/Agents/Snakebot-Alife-corrected.pdf
Prokopenko:2006:SAB Evolving Spatiotemporal Coordination in a Modular Robotic System
MikhailProkopenko.html
VadimGerasimov.html
IvanTTanev.html
http___www.ict.csiro.au_staff_mikhail.prokopenko_Publications_Agents_snakebot-corrected.pdf http://www.ict.csiro.au/staff/mikhail.prokopenko/Publications/Agents/snakebot-corrected.pdf
http___dx.doi.org_10.1007_11840541_46 http://dx.doi.org/10.1007/11840541_46
Protic:2015:Energy Forecasting of consumers heat load in district heating systems using the support vector machine with a discrete wavelet transform algorithm
MilanProtic.html
ShahaboddinShamshirband.html
DaliborPetkovic.html
AlmasAbbasi.html
ProfDrMissLaihaBintiMatKiah.html
JawedAkhtarUnar.html
LjiljanaZivkovic.html
MiomirRaos.html
http___dx.doi.org_10.1016_j.energy.2015.04.109 http://dx.doi.org/10.1016/j.energy.2015.04.109
http___www.sciencedirect.com_science_article_pii_S0360544215005976 http://www.sciencedirect.com/science/article/pii/S0360544215005976
journals/riga/ProvorovsB11 Use of Linear Genetic Programming and Artificial Neural Network Methods to Solve Classification Task
SergejsProvorovs.html
ArkadyBorisov.html
http___versita.metapress.com_content_v747725r3q041610_fulltext.pdf http://versita.metapress.com/content/v747725r3q041610/fulltext.pdf
http___dx.doi.org_10.2478_v10143-011-0055-9 http://dx.doi.org/10.2478/v10143-011-0055-9
prudent:2006:WCSS Comparative Study of the Emergent Properties of Socio-economical Systems Incorporating Two Basic Behavioral Archetypes of the Comprising Agents
SebastienPrudent.html
IvanTTanev.html
pryor:1998:drbGPm Developing Robotic Behavior Using a Genetic Programming Model
RichardJPryor.html
http___www.cs.sandia.gov_web1433_pubsagent_Robug_Paper1.pdf http://www.cs.sandia.gov/web1433/pubsagent/Robug_Paper1.pdf
02-3147_Albatross Developing Maneuvering Behaviors for a Glider UAV Using a Genetic Programming Model
RichardJPryor.html
DianneBarton.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.538.1604 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.538.1604
https___cfwebprod.sandia.gov_cfdocs_CompResearch_templates_insert_pubs.cfm_year_presented_2002 https://cfwebprod.sandia.gov/cfdocs/CompResearch/templates/insert/pubs.cfm?year_presented=2002
https___cfwebprod.sandia.gov_cfdocs_CompResearch_docs_02-3147_Albatross.pdf https://cfwebprod.sandia.gov/cfdocs/CompResearch/docs/02-3147_Albatross.pdf
Puente:evows09 A Novel GP Approach to Synthesize Vegetation Indices for Soil Erosion Assessment
CesarPuente.html
GustavoOlague.html
StephenVSmith.html
StephenHBullock.html
MiguelAGonzalez-Botello.html
AlejandroHinojosaCorona.html
http___dx.doi.org_10.1007_978-3-642-01129-0_42 http://dx.doi.org/10.1007/978-3-642-01129-0_42
DBLP:conf/gecco/PuenteOSBGH09 Genetic programming methodology that synthesize vegetation indices for the estimation of soil cover
CesarPuente.html
GustavoOlague.html
StephenVSmith.html
StephenHBullock.html
MiguelAGonzalez-Botello.html
AlejandroHinojosaCorona.html
http___dx.doi.org_10.1145_1569901.1570114 http://dx.doi.org/10.1145/1569901.1570114
olague-pers-2011 A Genetic Programming Approach to Estimate Vegetation Cover in the Context of Soil Erosion Assessment
CesarPuente.html
GustavoOlague.html
StephenVSmith.html
StephenHBullock.html
AlejandroHinojosaCorona.html
MiguelAGonzalez-Botello.html
http___cienciascomp.cicese.mx_evovision_olague-pers-2011.pdf http://cienciascomp.cicese.mx/evovision/olague-pers-2011.pdf
http___digital.ipcprintservices.com_publication__i_65049_p_65 http://digital.ipcprintservices.com/publication/?i=65049&p=65
Puente:2019:RS Synthesis of Vegetation Indices Using Genetic Programming for Soil Erosion Estimation
CesarPuente.html
GustavoOlague.html
MattiaTrabucchi.html
PedroDavidArjona-Villicana.html
CarlosSoubervielle-Montalvo.html
https___www.mdpi.com_2072-4292_11_2_156_pdf https://www.mdpi.com/2072-4292/11/2/156/pdf
http___dx.doi.org_10.3390_rs11020156 http://dx.doi.org/10.3390/rs11020156
Pujol:1997:etwNNGP Evolution of the Topology and the Weights of Neural Networks using Genetic Programming with a Dual Representation
JoaoCarlosFigueiraPujol.html
RiccardoPoli.html
ftp___ftp.cs.bham.ac.uk_pub_tech-reports_1997_CSRP-97-07.ps.gz ftp://ftp.cs.bham.ac.uk/pub/tech-reports/1997/CSRP-97-07.ps.gz
pujol:1998:eearNN Efficient Evolution of Asymetric Recurrent Neural Networks Using a PDGP-inspired Two-dimensional Representation
JoaoCarlosFigueiraPujol.html
RiccardoPoli.html
http___cswww.essex.ac.uk_staff_poli_papers_Pujol-EUROGP1998.pdf http://cswww.essex.ac.uk/staff/poli/papers/Pujol-EUROGP1998.pdf
http___citeseer.ist.psu.edu_305558.html http://citeseer.ist.psu.edu/305558.html
http___dx.doi.org_10.1007_BFb0055933 http://dx.doi.org/10.1007/BFb0055933
pujol:1998:dnraenc Dual Network Representation Applied to the Evolution of Neural Controllers
JoaoCarlosFigueiraPujol.html
RiccardoPoli.html
http___cswww.essex.ac.uk_staff_poli_papers_Pujol-EP1998.pdf http://cswww.essex.ac.uk/staff/poli/papers/Pujol-EP1998.pdf
http___citeseer.ist.psu.edu_pujol98dual.html http://citeseer.ist.psu.edu/pujol98dual.html
http___dx.doi.org_10.1007_BFb0040753 http://dx.doi.org/10.1007/BFb0040753
Pujol:1998:etwNNGP Evolution of the Topology and the Weights of Neural Networks using Genetic Programming with a Dual Representation
JoaoCarlosFigueiraPujol.html
RiccardoPoli.html
http___cswww.essex.ac.uk_staff_poli_papers_Pujol-AI-1998.pdf http://cswww.essex.ac.uk/staff/poli/papers/Pujol-AI-1998.pdf
http___citeseer.ist.psu.edu_336222.html http://citeseer.ist.psu.edu/336222.html
http___citeseer.ist.psu.edu_322291.html http://citeseer.ist.psu.edu/322291.html
http___dx.doi.org_10.1023_A_1008272615525 http://dx.doi.org/10.1023/A:1008272615525
pujol:1998:enndr Evolving Neural Networks Using a Dual Representation with a Combined Crossover Operator
JoaoCarlosFigueiraPujol.html
RiccardoPoli.html
http___cswww.essex.ac.uk_staff_poli_papers_Pujol-ICEC1998.pdf http://cswww.essex.ac.uk/staff/poli/papers/Pujol-ICEC1998.pdf
http___citeseer.ist.psu.edu_313803.html http://citeseer.ist.psu.edu/313803.html
http___dx.doi.org_10.1109_ICEC.1998.699791 http://dx.doi.org/10.1109/ICEC.1998.699791
pujol:1998:eurogp98 EuroGP'98: Conference Report
JoaoCarlosFigueiraPujol.html
RiccardoPoli.html
http___evonet.lri.fr_evoweb_files_evonews_evonews7.pdf http://evonet.lri.fr/evoweb/files/evonews/evonews7.pdf
Pujol99 Evolving the Architecture and Weights of Neural Networks Using a Weight Mapping Approach
JoaoCarlosFigueiraPujol.html
RiccardoPoli.html
ftp___ftp.cs.bham.ac.uk_pub_tech-reports_1999_CSRP-99-05.ps.gz ftp://ftp.cs.bham.ac.uk/pub/tech-reports/1999/CSRP-99-05.ps.gz
pujol:1999:ENNUWM Evolution of Neural Networks Using Weight Mapping
JoaoCarlosFigueiraPujol.html
RiccardoPoli.html
http___gpbib.cs.ucl.ac.uk_gecco1999_GP-430.pdf http://gpbib.cs.ucl.ac.uk/gecco1999/GP-430.pdf
http___gpbib.cs.ucl.ac.uk_gecco1999_GP-430.ps http://gpbib.cs.ucl.ac.uk/gecco1999/GP-430.ps
pujol:thesis Evolution of Artificial Neural Networks Using a Two-dimensional Representation
JoaoCarlosFigueiraPujol.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_PhD_Thesis_pujol.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/PhD_Thesis_pujol.pdf
pujol:1999:eNN2da Synthesis of Neural Networks using a Two-Dimensional Aproach
JoaoCarlosFigueiraPujol.html
RiccardoPoli.html
http___www.crcpress.com_product_isbn_9780849319655 http://www.crcpress.com/product/isbn/9780849319655
http___cswww.essex.ac.uk_staff_poli_papers_Pujol_Poli_Synthesis_of_Neural_Networks_Using_a_Two-Dimensional_Approach_1999.pdf http://cswww.essex.ac.uk/staff/poli/papers/Pujol_Poli_Synthesis_of_Neural_Networks_Using_a_Two-Dimensional_Approach_1999.pdf
pujol:2004:lbp A Highly Efficient Function Optimization with Genetic Programming
JoaoCarlosFigueiraPujol.html
RiccardoPoli.html
http___cswww.essex.ac.uk_staff_rpoli_papers_geccopujol2004.pdf http://cswww.essex.ac.uk/staff/rpoli/papers/geccopujol2004.pdf
http___gpbib.cs.ucl.ac.uk_gecco2004_LBP049.pdf http://gpbib.cs.ucl.ac.uk/gecco2004/LBP049.pdf
Pujol:PPSN:2004 Optimization via Parameter Mapping with Genetic Programming
JoaoCarlosFigueiraPujol.html
RiccardoPoli.html
http___cswww.essex.ac.uk_staff_rpoli_papers_ppsnpujol2004.pdf http://cswww.essex.ac.uk/staff/rpoli/papers/ppsnpujol2004.pdf
https___rdcu.be_dc0kW https://rdcu.be/dc0kW
http___dx.doi.org_10.1007_b100601 http://dx.doi.org/10.1007/b100601
http___dx.doi.org_10.1007_978-3-540-30217-9_39 http://dx.doi.org/10.1007/978-3-540-30217-9_39
Pujol:2008:IJKBIES Parameter Mapping: A genetic programming approach to function optimization
JoaoCarlosFigueiraPujol.html
RiccardoPoli.html
http___content.iospress.com_articles_international-journal-of-knowledge-based-and-intelligent-engineering-systems_kes00138 http://content.iospress.com/articles/international-journal-of-knowledge-based-and-intelligent-engineering-systems/kes00138
http___dx.doi.org_10.3233_KES-2008-12104 http://dx.doi.org/10.3233/KES-2008-12104
pumo:SERRA Exploring the use of multi-gene genetic programming in regional models for the simulation of monthly river runoff series
DarioPumo.html
LeonardoVNoto.html
http___link.springer.com_article_10.1007_s00477-022-02373-1 http://link.springer.com/article/10.1007/s00477-022-02373-1
http___dx.doi.org_10.1007_s00477-022-02373-1 http://dx.doi.org/10.1007/s00477-022-02373-1
punch:1996:aigp2 The Royal Tree Problem, a Benchmark for Single and Multiple Population Genetic Programming
WilliamFPunch.html
DouglasZongker.html
ErikGoodman.html
http___ieeexplore.ieee.org_xpl_articleDetails.jsp_tp__arnumber_6277533 http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6277533
http___dx.doi.org_10.7551_mitpress_1109.003.0021 http://dx.doi.org/10.7551/mitpress/1109.003.0021
punch:1998:empGP How Effective are Multiple Populations in Genetic Programming
WilliamFPunch.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_gp1998_punch_1998_empGP.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/gp1998/punch_1998_empGP.pdf
punch:1999:GP98review Genetic Programming 1998: Proceedings of the Third Annual Conference
WilliamFPunch.html
http___dx.doi.org_10.1109_TEVC.1999.771172 http://dx.doi.org/10.1109/TEVC.1999.771172
Punch:2000:GECCO GP+Echo+Subsumption = Improved Problem Solving
WilliamFPunch.html
WilliamMichaelRand.html
http___gpbib.cs.ucl.ac.uk_gecco2000_GP101.pdf http://gpbib.cs.ucl.ac.uk/gecco2000/GP101.pdf
http___garage.cse.msu.edu_papers_GARAGe00-07-02.pdf http://garage.cse.msu.edu/papers/GARAGe00-07-02.pdf
http___citeseer.ist.psu.edu_447316.html http://citeseer.ist.psu.edu/447316.html
punch:2001:GPEM Book Review: Genetic Programming--An Introduction: On the Automatic Evolution of Computer Programs and Its Applications
WilliamFPunch.html
http___ipsapp009.lwwonline.com_content_getfile_4723_5_6_fulltext.pdf http://ipsapp009.lwwonline.com/content/getfile/4723/5/6/fulltext.pdf
http___dx.doi.org_10.1023_A_1011508532477 http://dx.doi.org/10.1023/A:1011508532477
Punugupati:2017:MTP Process modeling of gelcast Si3N4ceramics using multi gene genetic programming
GurabvaiahPunugupati.html
KishoreKumarKandi.html
PSCBose.html
CSPRao.html
http___dx.doi.org_10.1016_j.matpr.2017.02.035 http://dx.doi.org/10.1016/j.matpr.2017.02.035
http___www.sciencedirect.com_science_article_pii_S2214785317302316 http://www.sciencedirect.com/science/article/pii/S2214785317302316
PUNUGUPATI:2017:MTPa Modeling of Gelcast Ceramics using GP and Multi Objective Optimization using NSGA-II
GurabvaiahPunugupati.html
KishoreKumarKandi.html
PSCBose.html
CSPRao.html
http___dx.doi.org_10.1016_j.matpr.2017.07.205 http://dx.doi.org/10.1016/j.matpr.2017.07.205
http___www.sciencedirect.com_science_article_pii_S221478531731502X http://www.sciencedirect.com/science/article/pii/S221478531731502X
puppala:1998:smbcc Shared memory based Cooperative Coevolution
NarendraPuppala.html
SandipSen.html
MariaGordin.html
http___dx.doi.org_10.1109_ICEC.1998.700091 http://dx.doi.org/10.1109/ICEC.1998.700091
Purkayastha:2020:SR Differentiation of low and high grade renal cell carcinoma on routine MRI with an externally validated automatic machine learning algorithm
SubhanikPurkayastha.html
YijunZhao.html
JingWu.html
RongHu.html
AidanJMcGirr.html
SukhdeepSingh.html
KenChang.html
RaymondYHuang.html
PaulJZhang.html
AlvinSilva.html
MichaelCSoulen.html
SWilliamStavropoulos.html
ZishuZhang.html
HarrisonXBai.html
https___rdcu.be_dabfG https://rdcu.be/dabfG
http___dx.doi.org_10.1038_s41598-020-76132-z http://dx.doi.org/10.1038/s41598-020-76132-z
Purnama:2013:ICICI-BME Malaria parasite identification on thick blood film using genetic programming
IKetutEddyPurnama.html
FarahZakiyahRahmanti.html
MauridhiHeryPurnomo.html
http___dx.doi.org_10.1109_ICICI-BME.2013.6698491 http://dx.doi.org/10.1109/ICICI-BME.2013.6698491
conf/iicai/PurohitJKTC09 Improved Genetic Programming Based Multiclass Classifier Using a New Crossover Operator
AnuradhaPurohit.html
SiddharthJain.html
SurabhiKhandelwal.html
ArunaTiwari.html
NarendraSChaudhari.html
Purohit:2010:cec Construction of classifier with feature selection based on genetic programming
AnuradhaPurohit.html
NarendraSChaudhari.html
ArunaTiwari.html
http___dx.doi.org_10.1109_CEC.2010.5586536 http://dx.doi.org/10.1109/CEC.2010.5586536
Purohit:2011:ICRTIT Removing code bloating in crossover operation in Genetic Programming
AnuradhaPurohit.html
ArpitBhardwaj.html
ArunaTiwari.html
NarendraSChoudhari.html
http___dx.doi.org_10.1109_ICRTIT.2011.5972430 http://dx.doi.org/10.1109/ICRTIT.2011.5972430
conf/iicai/PurohitBTC11 Handling the Problem of Code Bloating to Enhance the Performance of Classifier Designed Using Genetic Programming
AnuradhaPurohit.html
ArpitBhardwaj.html
ArunaTiwari.html
NarendraSChaudhari.html
Purohit:2013:ICTACT a new mutation operator in genetic programming
AnuradhaPurohit.html
NarendraSChoudhari.html
ArunaTiwari.html
http___ictactjournals.in_ArticleDetails.aspx_id_858 http://ictactjournals.in/ArticleDetails.aspx?id=858
http___ictactjournals.in_paper_IJSC_Jan2013__Vol3_Iss2_P2_467to471.pdf http://ictactjournals.in/paper/IJSC(Jan2013)_Vol3_Iss2_P2_467to471.pdf
Purohit:2014:IJSRP Code Bloat Problem in Genetic Programming
AnuradhaPurohit.html
NarendraSChoudhari.html
ArunaTiwari.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.301.158 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.301.158
http___www.ijsrp.org_research-paper-0413_ijsrp-p1612.pdf http://www.ijsrp.org/research-paper-0413/ijsrp-p1612.pdf
putnan:1994:gpm Genetic Programming of Music
JeffreyBPutnam.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_ep.ps.gz http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/ep.ps.gz
putnam:1996:EP A Grammar-Based Genetic Programming Technique Applied to Music Generation
JeffreyBPutnam.html
Putra:2017:ICCREC An implementation of weighted moving average and genetic programming for rainfall forecasting in Bandung Regency
BudyUtamaPutra.html
FhiraNhita.html
Adiwijaya.html
DeniSaepudin.html
UntariNoviaWisesty.html
http___dx.doi.org_10.1109_ICCEREC.2017.8226674 http://dx.doi.org/10.1109/ICCEREC.2017.8226674
Putrada:2022:ICICyTA TPOT on Increasing the Performance of Credit Card Application Approval Classification
AjiGautamaPutrada.html
EtikaKhusnulLaeli.html
SyafrialFachriPane.html
NurAlamsyah.html
MohamadNurkamalFauzan.html
http___dx.doi.org_10.1109_ICICyTA57421.2022.10038063 http://dx.doi.org/10.1109/ICICyTA57421.2022.10038063
Qadir:2014:GPEM Hardware architecture of the Protein Processing Associative Memory and the effects of dimensionality and quantisation on performance
OmerQadir.html
AlexLenz.html
GianlucaTempesti.html
JonTimmis.html
AnthonyPipe.html
AndrewMTyrrell.html
http___dx.doi.org_10.1007_s10710-014-9217-1 http://dx.doi.org/10.1007/s10710-014-9217-1
QAZANI:2022:engappai Estimation of tool-chip contact length using optimized machine learning in orthogonal cutting
MohammadRezaChalakQazani.html
VahidPourmostaghimi.html
MehdiMoayyedian.html
SiamakPedrammehr.html
http___dx.doi.org_10.1016_j.engappai.2022.105118 http://dx.doi.org/10.1016/j.engappai.2022.105118
https___www.sciencedirect.com_science_article_pii_S0952197622002524 https://www.sciencedirect.com/science/article/pii/S0952197622002524
QI:2019:ME Towards Intelligent Mining for Backfill: A genetic programming-based method for strength forecasting of cemented paste backfill
ChongchongQi.html
XiaolinTang.html
XiangjianDong.html
QiusongChen.html
AndyFourie.html
EnyanLiu.html
http___dx.doi.org_10.1016_j.mineng.2019.01.004 http://dx.doi.org/10.1016/j.mineng.2019.01.004
http___www.sciencedirect.com_science_article_pii_S0892687519300056 http://www.sciencedirect.com/science/article/pii/S0892687519300056
Qi:2009:ISECS-CCCM Housing price index forecasting using neural tree model
FengQi.html
XiyuLiu.html
YinghongMa.html
http___dx.doi.org_10.1109_CCCM.2009.5267470 http://dx.doi.org/10.1109/CCCM.2009.5267470
journals/nca/QiLM12 Synthesis of neural tree models by improved breeder genetic programming
FengQi.html
XiyuLiu.html
YinghongMa.html
http___dx.doi.org_10.1007_s00521-010-0451-z http://dx.doi.org/10.1007/s00521-010-0451-z
conf/swarm/QiMLJ13 A Hybrid Genetic Programming with Particle Swarm Optimization
FengQi.html
YinghongMa.html
XiyuLiu.html
GuangyongJi.html
http___dx.doi.org_10.1007_978-3-642-38715-9 http://dx.doi.org/10.1007/978-3-642-38715-9
http___dx.doi.org_10.1007_978-3-642-38715-9_2 http://dx.doi.org/10.1007/978-3-642-38715-9_2
qi:2022:Mathematics Modeling and Solving for Multi-Satellite Cooperative Task Allocation Problem Based on Genetic Programming Method
WeihuaQi.html
WenyuanYang.html
LiningXing.html
FengYao.html
https___www.mdpi.com_2227-7390_10_19_3608 https://www.mdpi.com/2227-7390/10/19/3608
http___dx.doi.org_10.3390_math10193608 http://dx.doi.org/10.3390/math10193608
Qi:2013:RTAS AdaSense: Adapting sampling rates for activity recognition in Body Sensor Networks
XinQi.html
MatthewKeally.html
GangZhou.html
YantaoLi.html
ZhenRen.html
http___dx.doi.org_10.1109_RTAS.2013.6531089 http://dx.doi.org/10.1109/RTAS.2013.6531089
Qi:2013:ICCIS Does Genetic Programming Work Well on Automated Program Repair?
YuhuaQi.html
XiaoguangMao.html
YanLei.html
ZiyingDai.html
ChengsongWang.html
http___dx.doi.org_10.1109_ICCIS.2013.490 http://dx.doi.org/10.1109/ICCIS.2013.490
Qi:2013:ICSM Efficient Automated Program Repair through Fault-Recorded Testing Prioritization
YuhuaQi.html
XiaoguangMao.html
YanLei.html
https___icsm2013.tue.nl_ICSM2013.pdf https://icsm2013.tue.nl/ICSM2013.pdf
http___dx.doi.org_10.1109_ICSM.2013.29 http://dx.doi.org/10.1109/ICSM.2013.29
Qi:2014:ICSE The Strength of Random Search on Automated Program Repair
YuhuaQi.html
XiaoguangMao.html
YanLei.html
ZiyingDai.html
ChengsongWang.html
http___dx.doi.org_10.1145_2568225.2568254 http://dx.doi.org/10.1145/2568225.2568254
Qian:2007:SSP Inference of Genetic Regulatory Networks by Evolutionary Algorithm and $H_\infty$ Filtering
LijunQian.html
HaixinWang.html
http___old.pvamu.edu_edir_lijun_files_papers_SSP2007.pdf http://old.pvamu.edu/edir/lijun/files/papers/SSP2007.pdf
http___dx.doi.org_10.1109_SSP.2007.4301210 http://dx.doi.org/10.1109/SSP.2007.4301210
Qian:2008:ieeeTSP Inference of Noisy Nonlinear Differential Equation Models for Gene Regulatory Networks Using Genetic Programming and Kalman Filtering
LijunQian.html
HaixinWang.html
EdwardRDougherty.html
http___dx.doi.org_10.1109_TSP.2008.919638 http://dx.doi.org/10.1109/TSP.2008.919638
Qian:2011:ASNB Gene Regulatory Networks Inference: Combining a Genetic Programming and H\_infinity Filtering Approach
LijunQian.html
HaixinWang.html
XiangfangLi.html
http___www.terkko.helsinki.fi_applied-statistics-for-network-biology-methods-in-systems-biology http://www.terkko.helsinki.fi/applied-statistics-for-network-biology-methods-in-systems-biology
http___www.amazon.co.uk_Applied-Statistics-Network-Biology-Quantitative_dp_3527327509 http://www.amazon.co.uk/Applied-Statistics-Network-Biology-Quantitative/dp/3527327509
http___dx.doi.org_10.1002_9783527638079.ch7 http://dx.doi.org/10.1002/9783527638079.ch7
conf/wisi/QiaoTPFX06 VCCM Mining: Mining Virtual Community Core Members Based on Gene Expression Programming
ShaojieQiao.html
ChangjieTang.html
JingPeng.html
HongjianFan.html
YongXiang.html
http___dx.doi.org_10.1007_11734628_16 http://dx.doi.org/10.1007/11734628_16
Qin:2019:ASE A Genetic Programming-Based Scheduling Approach for Hybrid Flow Shop With a Batch Processor and Waiting Time Constraint
MingQin.html
RunsenWang.html
TonyZhongshunShi.html
LingxuanLiu.html
LeyuanShi.html
http___dx.doi.org_10.1109_TASE.2019.2947398 http://dx.doi.org/10.1109/TASE.2019.2947398
qin:2002:gecco:workshop Improved Genetic Programming with Genetic and Probabilistic Populations
PingQin.html
YueShen.html
JunZhu.html
qin:AG Analysis of spatiotemporal variations of excess pore water pressure during mechanized tunneling using genetic programming
SuQin.html
TaoXu2.html
Zhi-LiangCheng.html
Wan-Huan_Hanna_Zhou.html
http___link.springer.com_article_10.1007_s11440-022-01728-w http://link.springer.com/article/10.1007/s11440-022-01728-w
http___dx.doi.org_10.1007_s11440-022-01728-w http://dx.doi.org/10.1007/s11440-022-01728-w
Qin:2013:CI Multiple-objective scheduling for interbay AMHS by using genetic-programming-based composite dispatching rules generator
WeiQin.html
JieZhang.html
YinbinSun.html
http___dx.doi.org_10.1016_j.compind.2013.03.009 http://dx.doi.org/10.1016/j.compind.2013.03.009
http___www.sciencedirect.com_science_article_pii_S0166361513000626 http://www.sciencedirect.com/science/article/pii/S0166361513000626
Qing:2021:GECCO Cooperative Coevolutionary Multiobjective Genetic Programming for Microarray Data Classification
YangQing.html
ChiMa.html
YuZhou.html
XiaoZhang.html
HaowenXia.html
http___dx.doi.org_10.1145_3449639.3459400 http://dx.doi.org/10.1145/3449639.3459400
qu:2014:CE Building Technical Trading System with Genetic Programming: A New Method to Test the Efficiency of Chinese Stock Markets
HuiQu.html
XindanLi.html
http___link.springer.com_article_10.1007_s10614-013-9369-8 http://link.springer.com/article/10.1007/s10614-013-9369-8
http___dx.doi.org_10.1007_s10614-013-9369-8 http://dx.doi.org/10.1007/s10614-013-9369-8
conf/bmei/QuCL15 Edit distance based crossover operator in gene expression programming
QuLi.html
HongbingCheng.html
HXLin.html
http___ieeexplore.ieee.org_xpl_mostRecentIssue.jsp_punumber_7394813 http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=7394813
http___dx.doi.org_10.1109_BMEI.2015.7401550 http://dx.doi.org/10.1109/BMEI.2015.7401550
Qu:ASE Automated Discovery of Efficient Behavior Strategies for Distributed Shape Formation of Swarm Robots by Genetic Programming
YunQu.html
BinXin.html
QingWang.html
MiaoWang.html
MiaoGuo.html
http___dx.doi.org_10.1109_TASE.2023.3346277 http://dx.doi.org/10.1109/TASE.2023.3346277
Qu:ieeeACC The Algorithm of Concrete Surface Crack Detection Based on the Genetic Programming and Percolation Model
ZhongQu.html
Yu-XiangChen.html
LingLiu.html
YiXie.html
QiangZhou.html
http___dx.doi.org_10.1109_ACCESS.2019.2914259 http://dx.doi.org/10.1109/ACCESS.2019.2914259
Quade:2016:PhysRevE Prediction of dynamical systems by symbolic regression
MarkusQuade.html
MarkusWAbel.html
KamranShafi.html
RobertKNiven.html
BerndRNoack.html
http___arxiv.org_abs_1602.04648 http://arxiv.org/abs/1602.04648
http___link.aps.org_doi_10.1103_PhysRevE.94.012214 http://link.aps.org/doi/10.1103/PhysRevE.94.012214
http___dx.doi.org_10.1103_PhysRevE.94.012214 http://dx.doi.org/10.1103/PhysRevE.94.012214
QUADE:2020:PDNP Machine learning control - explainable and analyzable methods
MarkusQuade.html
ThomasIsele.html
MarkusWAbel.html
http___dx.doi.org_10.1016_j.physd.2020.132582 http://dx.doi.org/10.1016/j.physd.2020.132582
http___www.sciencedirect.com_science_article_pii_S0167278920300026 http://www.sciencedirect.com/science/article/pii/S0167278920300026
quan:aso:gecco2004 A Study of the Role of Single Node Mutation in Genetic Programming
WeiQuan.html
TerenceSoule.html
http___dx.doi.org_10.1007_b98645 http://dx.doi.org/10.1007/b98645
Quan:2019:ACC A New Method for Reduction of Atomic Magnetometer Noise Based on Multigene Genetic Programming
WeiQuan2.html
FengLiu.html
WenfengFan.html
http___dx.doi.org_10.1109_ACCESS.2019.2918246 http://dx.doi.org/10.1109/ACCESS.2019.2918246
QUARANTA:2022:engstruct Machine-learning-aided improvement of mechanics-based code-conforming shear capacity equation for RC elements with stirrups
GiuseppeQuaranta.html
DarioDeDomenico.html
GiorgioMonti.html
http___dx.doi.org_10.1016_j.engstruct.2022.114665 http://dx.doi.org/10.1016/j.engstruct.2022.114665
https___www.sciencedirect.com_science_article_pii_S014102962200760X https://www.sciencedirect.com/science/article/pii/S014102962200760X
quartetti:1998:EPPGM Evolving a Program to Play the Game Minesweeper
ChrisQuartetti.html
Querry:thesis Stochastic optimization by evolutionary methods applied to autonomous aircraft flight control
StephaneQuerry.html
http___www.polyvionics.com_Thesis.pdf http://www.polyvionics.com/Thesis.pdf
http___theses.unistra.fr_ori-oai-search_notice.html_id_2014STRAD031_printable_true http://theses.unistra.fr/ori-oai-search/notice.html?id=2014STRAD031&printable=true
http___www.theses.fr_2014STRAD031 http://www.theses.fr/2014STRAD031
http___scdtheses.u-strasbg.fr_ori-oai-search_notice_view_2014STRAD031 http://scdtheses.u-strasbg.fr/ori-oai-search/notice/view/2014STRAD031
https___publication-theses.unistra.fr_restreint_theses_doctorat_2014_Querry_Stephane_2014_ED269.pdf https://publication-theses.unistra.fr/restreint/theses_doctorat/2014/Querry_Stephane_2014_ED269.pdf
quesada:2023:GECCOcomp An Analysis of Heuristic Templates in Genetic Programming for One-Dimensional Cutting and Packing Problems
JesusQuesada.html
FranciscoJavierGilGala.html
MarkoDurasevic.html
MariaSierra.html
RamiroVarelaArias.html
http___dx.doi.org_10.1145_3583133.3590674 http://dx.doi.org/10.1145/3583133.3590674
quintana:2002:KBCS Genetic programming for mathematical morphology algorithm design on binary images
MarcosIvanQuintana-Hernandez.html
RiccardoPoli.html
ElaClaridge.html
http___www.quintana-consulting.com_files_KBCS2002.pdf http://www.quintana-consulting.com/files/KBCS2002.pdf
Quintana:evowks03 On Two Approaches to Image Processing Algorithm Design for Binary Images using GP
MarcosIvanQuintana-Hernandez.html
RiccardoPoli.html
ElaClaridge.html
http___dx.doi.org_10.1007_3-540-36605-9_39 http://dx.doi.org/10.1007/3-540-36605-9_39
QuintanaHernandez2005PhD Genetic programming applied to morphological image processing
MarcosIvanQuintana-Hernandez.html
http___etheses.bham.ac.uk__id_eprint_9936_1_QuintanaHernandez2005PhD.pdf http://etheses.bham.ac.uk//id/eprint/9936/1/QuintanaHernandez2005PhD.pdf
http___etheses.bham.ac.uk__id_eprint_9936_ http://etheses.bham.ac.uk//id/eprint/9936/
Quintana:2006:GPEM Morphological algorithm design for binary images using genetic programming
MarcosIvanQuintana-Hernandez.html
RiccardoPoli.html
ElaClaridge.html
http___cswww.essex.ac.uk_staff_rpoli_papers_gpem2005.pdf http://cswww.essex.ac.uk/staff/rpoli/papers/gpem2005.pdf
http___dx.doi.org_10.1007_s10710-006-7012-3 http://dx.doi.org/10.1007/s10710-006-7012-3
QUINTERODOMINGUEZ:2021:ESA A propositionalization method of multi-relational data based on Grammar-Guided Genetic Programming
LuisAQuintero-Dominguez.html
CarlosMorell.html
SebastianVentura.html
http___dx.doi.org_10.1016_j.eswa.2020.114263 http://dx.doi.org/10.1016/j.eswa.2020.114263
https___www.sciencedirect.com_science_article_pii_S095741742030974X https://www.sciencedirect.com/science/article/pii/S095741742030974X
Quiroz:2009:cec Towards Creative Design Using Collaborative Interactive Genetic Algorithms
JuanCQuiroz.html
SushilJLouis.html
AmitBanerjee.html
SergiuMDascalu.html
http___dx.doi.org_10.1109_CEC.2009.4983166 http://dx.doi.org/10.1109/CEC.2009.4983166
oai:arXiv.org:1608.05231 Design and Implementation of a Procedural Content Generation Web Application for Vertex Shaders
JuanCQuiroz.html
SergiuMDascalu.html
http___arxiv.org_abs_1608.05231 http://arxiv.org/abs/1608.05231
Quiroz:2017:IJCA Interactive Shape Perturbation
JuanCQuiroz.html
SergiuMDascalu.html
http___isca-hq.org_Documents_Journal_Archive_2017volume24-1.pdf http://isca-hq.org/Documents/Journal/Archive/2017volume24-1.pdf
series/sci/Quiroz-RamirezEODSSCEO18 Partially-Connected Artificial Neural Networks Developed by Grammatical Evolution for Pattern Recognition Problems
OlgaQuiroz-Ramirez.html
AndresEspinalJimenez.html
ManuelOrnelas-Rodriguez.html
AlfonsoRojas-Dominguez.html
DanielaSanchez.html
HectorJPuga.html
JuanMartinCarpio-Valadez.html
LuisErnestoMancillaEspinoza.html
JanetOrtiz-Lopez.html
http___dx.doi.org_10.1007_978-3-319-71008-2_9 http://dx.doi.org/10.1007/978-3-319-71008-2_9
qureshi:1996:eaRN Evolving Agents
AdilQureshi.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_AQ.gp96.ps.gz http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/AQ.gp96.ps.gz
qureshi:1996:ea Evolving Agents
AdilQureshi.html
http___cognet.mit.edu_sites_default_files_books_9780262315876_pdfs_9780262315876_chap50.pdf http://cognet.mit.edu/sites/default/files/books/9780262315876/pdfs/9780262315876_chap50.pdf
http___cognet.mit.edu_library_books_view_isbn_0262611279 http://cognet.mit.edu/library/books/view?isbn=0262611279
qureshi:thesis The Evolution of Agents
AdilQureshi.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_maq-thesis-14072k1.ps.gz http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/maq-thesis-14072k1.ps.gz
https___discovery.ucl.ac.uk_id_eprint_10099452_ https://discovery.ucl.ac.uk/id/eprint/10099452/
QURESHI:2020:sus A novel and secure attacks detection framework for smart cities industrial internet of things
KashifNaseerQureshi.html
ShahidSaeedRana.html
AwaisAhmed.html
GwanggilJeon.html
http___dx.doi.org_10.1016_j.scs.2020.102343 http://dx.doi.org/10.1016/j.scs.2020.102343
http___www.sciencedirect.com_science_article_pii_S2210670720305643 http://www.sciencedirect.com/science/article/pii/S2210670720305643
Rabin:AIgpw2 AI game programming wisdom 2
SteveRabin.html
https___www.amazon.com_gp_product_1584502894 https://www.amazon.com/gp/product/1584502894
Rabunal-Dopico:tesis Uso de Tecnicas de Inteligencia Artificial en Ingenieria Civil
JuanRamonRabunalDopico.html
https___dialnet.unirioja.es_servlet_tesis_codigo_21174 https://dialnet.unirioja.es/servlet/tesis?codigo=21174
http___sabia.tic.udc.es_articulos_2007_tesisJuanra.pdf http://sabia.tic.udc.es/articulos/2007/tesisJuanra.pdf
Rabunal:2011:IWINAC Genetic Programming for Prediction of Water Flow and Transport of Solids in a Basin
JuanRamonRabunalDopico.html
JeronimoPuertasAgudo.html
DanielRiveroCebrian.html
IgnacioFraga.html
LuisCea.html
MartaGarrido.html
http___dx.doi.org_10.1007_978-3-642-21326-7_25 http://dx.doi.org/10.1007/978-3-642-21326-7_25
racine:1998:dlehss A dynamic Lattice to Evolve Hierarchically Shared Subroutines: DL'GP
AlainRacine.html
MarcSchoenauer.html
PhilippeDague.html
http___dx.doi.org_10.1007_BFb0055941 http://dx.doi.org/10.1007/BFb0055941
racine:1999:pcGPcs Parametric Coding vs Genetic Programming: A Case Study
AlainRacine.html
SanaBenHamida.html
MarcSchoenauer.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_eebic_eurogp99_eurogp99_lbp.html http://www.cs.ucl.ac.uk/staff/W.Langdon/eebic/eurogp99/eurogp99_lbp.html
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ftp___ftp.cwi.nl_pub_CWIreports_SEN_SEN-R9913.ps.Z ftp://ftp.cwi.nl/pub/CWIreports/SEN/SEN-R9913.ps.Z
racine:1999:evorobot EvoRobot Workshop report
AlainRacine.html
JeroenEggermont.html
http___evonet.lri.fr_evoweb_files_evonews_evonews11.pdf http://evonet.lri.fr/evoweb/files/evonews/evonews11.pdf
Radecic:2020:TPOT TPOT: Automated Machine Learning in Python, Machine learning for everybody?
DarioRadecic.html
https___towardsdatascience.com_tpot-automated-machine-learning-in-python-e56800e69c11 https://towardsdatascience.com/tpot-automated-machine-learning-in-python-e56800e69c11
Radecic:2021:TPOT Machine Learning Automation with TPOT
DarioRadecic.html
https___www.amazon.com_Machine-Learning-Automation-TPOT-automated_dp_180056788X_asin_180056788X_revisionId__format_4_depth_1 https://www.amazon.com/Machine-Learning-Automation-TPOT-automated/dp/180056788X?asin=180056788X&revisionId=&format=4&depth=1
https___www.packtpub.com_gb_data_machine-learning-automation-with-tpot https://www.packtpub.com/gb/data/machine-learning-automation-with-tpot
https___ieeexplore.ieee.org_document_10162946 https://ieeexplore.ieee.org/document/10162946
radi:CSRP-97-21 Discovery of Neural Network Learning Rules Using Genetic Programming
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radi:1998:GPcdfglrNN Genetic Programming Can Discover Fast and General Learning Rules for Neural Networks
AmrMohamedMahmoudKhairatRadi.html
RiccardoPoli.html
ftp___ftp.cs.bham.ac.uk_pub_tech-reports_1998_CSRP-98-03.ps.gz ftp://ftp.cs.bham.ac.uk/pub/tech-reports/1998/CSRP-98-03.ps.gz
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_gp1998_radi_1998_GPcdfglrNN.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/gp1998/radi_1998_GPcdfglrNN.pdf
radi:1998:wcci Discovery of backpropagation learning rules using genetic programming
AmrMohamedMahmoudKhairatRadi.html
RiccardoPoli.html
http___dx.doi.org_10.1109_ICEC.1998.699761 http://dx.doi.org/10.1109/ICEC.1998.699761
radi:CSRP-98-3 Genetic Programming Can Discover Fast and General Learning Rules for Neural Networks
AmrMohamedMahmoudKhairatRadi.html
RiccardoPoli.html
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radi:CSRP-98-15 Genetic Programming Discovers Efficient Learning Rules for the Hidden and Output Layers of Feedforward Neural Networks
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ftp___ftp.cs.bham.ac.uk_pub_tech-reports_1998_CSRP-98-15.ps.gz ftp://ftp.cs.bham.ac.uk/pub/tech-reports/1998/CSRP-98-15.ps.gz
radi:CSRP-99-1 Discovery of General Learning Rules for Feedforward Neural Networks with Step Activation Function using Genetic Programming
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RiccardoPoli.html
ftp___ftp.cs.bham.ac.uk_pub_tech-reports_1999_CSRP-99-01.ps.gz ftp://ftp.cs.bham.ac.uk/pub/tech-reports/1999/CSRP-99-01.ps.gz
radi:1999:GPdelrholffNN Genetic Programming Discovers Efficient Learning Rules for the Hidden and Output Layers of Feedforward Neural Networks
AmrMohamedMahmoudKhairatRadi.html
RiccardoPoli.html
http___www.cs.essex.ac.uk_staff_poli_papers_Radi-EUROGP1999.pdf http://www.cs.essex.ac.uk/staff/poli/papers/Radi-EUROGP1999.pdf
http___citeseer.ist.psu.edu_335813.html http://citeseer.ist.psu.edu/335813.html
http___dx.doi.org_10.1007_3-540-48885-5_10 http://dx.doi.org/10.1007/3-540-48885-5_10
radi:1999:EDLRFNNSAF Evolutionary Discovery of Learning Rules for Feedforward Neural Networks with Step Activation Function
AmrMohamedMahmoudKhairatRadi.html
RiccardoPoli.html
http___citeseer.ist.psu.edu_329940.html http://citeseer.ist.psu.edu/329940.html
http___gpbib.cs.ucl.ac.uk_gecco1999_GP-428.attempt2.pdf http://gpbib.cs.ucl.ac.uk/gecco1999/GP-428.attempt2.pdf
http___gpbib.cs.ucl.ac.uk_gecco1999_GP-428.attempt2.ps http://gpbib.cs.ucl.ac.uk/gecco1999/GP-428.attempt2.ps
radi:2002:CSM360 Discovering Efficient Learning Rules for Feedforward Neural Networks using Genetic Programming
AmrMohamedMahmoudKhairatRadi.html
RiccardoPoli.html
http___cswww.essex.ac.uk_technical-reports_2002_csm-360.ps.gz http://cswww.essex.ac.uk/technical-reports/2002/csm-360.ps.gz
radi:2003:RAIPA Discovering efficient learning rules for feedforward neural networks using genetic programming
AmrMohamedMahmoudKhairatRadi.html
RiccardoPoli.html
http___www.springer.com_computer_ai_book_978-3-7908-1538-2 http://www.springer.com/computer/ai/book/978-3-7908-1538-2
1277306 Genetic programming approach for positron collisions with alkali-metal atom
AmrMohamedMahmoudKhairatRadi.html
SalahYaseenEl-Bakry.html
http___gpbib.cs.ucl.ac.uk_gecco2007_docs_p1756.pdf http://gpbib.cs.ucl.ac.uk/gecco2007/docs/p1756.pdf
http___dx.doi.org_10.1145_1276958.1277306 http://dx.doi.org/10.1145/1276958.1277306
Radi:2007:IJMPC Prediction of non-linear system in optics using genetic programming
AmrMohamedMahmoudKhairatRadi.html
http___www.genetic-programming.org_hc2007_09-Radi_Radi-Paper-B.pdf http://www.genetic-programming.org/hc2007/09-Radi/Radi-Paper-B.pdf
http___dx.doi.org_10.1142_S0129183107009777 http://dx.doi.org/10.1142/S0129183107009777
Radvanyi:2009:ECCTD Crosswalks recognition through CNNs for the bionic camera: Manual vs. automatic design
MihalyRadvanyi.html
GiovanniEgidioPazienza.html
KristofKaracs.html
http___dx.doi.org_10.1109_ECCTD.2009.5274981 http://dx.doi.org/10.1109/ECCTD.2009.5274981
DBLP:journals/ijns/RadwanT04a Template learning of cellular neural network using genetic programming
ElsayiedRadwan.html
EiichiroTazaki.html
http___dx.doi.org_10.1142_S0129065704002030 http://dx.doi.org/10.1142/S0129065704002030
journals/cas/RadwanT05 New learning method for cellular neural networks template based on combination between rough sets and genetic programming
ElsayiedRadwan.html
EiichiroTazaki.html
http___dx.doi.org_10.1080_01969720490929599 http://dx.doi.org/10.1080/01969720490929599
Rafiq:2018:ICECube On the Experience of Wrapping Beagle Puppy for Octave
AtifRafiq.html
AdilRaja.html
QadeerAhmad.html
ShamsUrRahman.html
http___dx.doi.org_10.1109_ICECUBE.2018.8610989 http://dx.doi.org/10.1109/ICECUBE.2018.8610989
Rafiq:2020:ICISS Devising Technical Trading Rules for Pakistan Stock Exchange using Genetic Programming
AtifRafiq.html
NomanJaved.html
AdilRaja.html
AmbreenHanif.html
ConorRyan.html
http___dx.doi.org_10.1109_ICISS49785.2020.9316060 http://dx.doi.org/10.1109/ICISS49785.2020.9316060
DBLP:conf/ijcci/RafiqN0R21 Pyramid-Z: Evolving Hierarchical Specialists in Genetic Algorithms
AtifRafiq.html
EnriqueNaredo.html
MeghanaKshirsagar.html
ConorRyan.html
https___dblp.org_rec_conf_ijcci_RafiqN0R21.bib https://dblp.org/rec/conf/ijcci/RafiqN0R21.bib
http___dx.doi.org_10.5220_0010657400003063 http://dx.doi.org/10.5220/0010657400003063
rafiq:2022:GECCOcomp On the Effect of Embedding Hierarchy within Multi-Objective Optimization for Evolving Symbolic Regression Models
AtifRafiq.html
EnriqueNaredo.html
MeghanaKshirsagar.html
ConorRyan.html
http___dx.doi.org_10.1145_3520304.3528808 http://dx.doi.org/10.1145/3520304.3528808
Ragalo:2012:NaBIC A building block conservation and extension mechanism for improved performance in Polynomial Symbolic Regression tree-based Genetic Programming
AnisaWagandaRagalo.html
NelishiaPillay.html
http___dx.doi.org_10.1109_NaBIC.2012.6402250 http://dx.doi.org/10.1109/NaBIC.2012.6402250
journals/saj/RagaloP13 Improved evolvability in genetic programming with polyandry
AnisaWagandaRagalo.html
NelishiaPillay.html
https___sacj.cs.uct.ac.za_index.php_sacj_article_view_170_84 https://sacj.cs.uct.ac.za/index.php/sacj/article/view/170/84
http___dx.doi.org_10.18489_sacj.v51i0.170 http://dx.doi.org/10.18489/sacj.v51i0.170
http___reference.sabinet.co.za_document_EJC147970 http://reference.sabinet.co.za/document/EJC147970
http___sacj.cs.uct.ac.za_index.php_sacj_issue_view_13 http://sacj.cs.uct.ac.za/index.php/sacj/issue/view/13
http___sacj.cs.uct.ac.za_index.php_sacj_article_view_170 http://sacj.cs.uct.ac.za/index.php/sacj/article/view/170
http___sacj.cs.uct.ac.za_index.php_sacj_article_viewFile_170_84.pdf http://sacj.cs.uct.ac.za/index.php/sacj/article/viewFile/170/84.pdf
Ragalo:2014:ICISDA A Hyper-heuristic approach towards mitigating Premature Convergence caused by the objective fitness function in GP
AnisaWagandaRagalo.html
NelishiaPillay.html
http___dx.doi.org_10.1109_ISDA.2014.7066272 http://dx.doi.org/10.1109/ISDA.2014.7066272
journals/eswa/RagaloP18 An investigation of dynamic fitness measures for genetic programming
AnisaWagandaRagalo.html
NelishiaPillay.html
http___dx.doi.org_10.1016_j.eswa.2017.08.022 http://dx.doi.org/10.1016/j.eswa.2017.08.022
Ragalo_Anisa_Waganda_2018 Evolving dynamic fitness measures for genetic programming
AnisaWagandaRagalo.html
https___researchspace.ukzn.ac.za_handle_10413_18077 https://researchspace.ukzn.ac.za/handle/10413/18077
https___ukzn-dspace.ukzn.ac.za_bitstream_handle_10413_18077_Ragalo__20Anisa__20Waganda_2018.pdf https://ukzn-dspace.ukzn.ac.za/bitstream/handle/10413/18077/Ragalo_%20Anisa_%20Waganda_2018.pdf
Ragalo18EWSA Evolving Dynamic Fitness Measures for Genetic Programming
AnisaWagandaRagalo.html
NelishiaPillay.html
http___dx.doi.org_10.1016_j.eswa.2018.03.060 http://dx.doi.org/10.1016/j.eswa.2018.03.060
Ragan-Kelley:2013:PLDI Halide: A Language and Compiler for Optimizing Parallelism, Locality, and Recomputation in Image Processing Pipelines
JonathanRagan-Kelley.html
ConnellyBarnes.html
AndrewAdams.html
SylvainParis.html
FredoDurand.html
SamanAmarasinghe.html
http___people.csail.mit.edu_jrk_halide-pldi13.pdf http://people.csail.mit.edu/jrk/halide-pldi13.pdf
http___dx.doi.org_10.1145_2491956.2462176 http://dx.doi.org/10.1145/2491956.2462176
oai:NCSU:etd-08072006-014705 PERFORMANCE MODELING USING A GENETIC PROGRAMMING BASED MODEL ERROR CORRECTION PROCEDURE
KavithaRaghavachar.html
http___www.lib.ncsu.edu_theses_available_etd-08072006-014705_unrestricted_etd.pdf http://www.lib.ncsu.edu/theses/available/etd-08072006-014705/unrestricted/etd.pdf
http___www.lib.ncsu.edu_theses_available_etd-08072006-014705_ http://www.lib.ncsu.edu/theses/available/etd-08072006-014705/
journals/simulation/RaghavacharMWZR07 Parallel Performance Modeling using a Genetic Programming-based Error Correction Procedure
KavithaRaghavachar.html
G_Kumar_Mahinthakumar.html
PatrickHWorley.html
EmilyMZechman.html
SRanjiRanjithan.html
http___dx.doi.org_10.1177_0037549707084691 http://dx.doi.org/10.1177/0037549707084691
Raghavjee:2012:NaBIC A comparison of genetic algorithms and genetic programming in solving the school timetabling problem
RushilRaghavjee.html
NelishiaPillay.html
http___dx.doi.org_10.1109_NaBIC.2012.6402246 http://dx.doi.org/10.1109/NaBIC.2012.6402246
Raghuraj:2007:cec Genetic Programming Models for Classification of Data from Biological Systems
KRaoRaghuraj.html
SLakshminarayanan.html
KyawTun.html
http___dx.doi.org_10.1109_CEC.2007.4425013 http://dx.doi.org/10.1109/CEC.2007.4425013
journals/jsea/RahamnehRSBA11 A New Software Reliability Growth Model: Genetic-Programming-Based Approach
ZainabAl-Rahamneh.html
MohammadReyalat.html
AlaaSheta.html
SuliemanBani-Ahmad.html
SalehAl-Oqeili.html
http___www.scirp.org_journal_PaperInformation.aspx_paperID_6570 http://www.scirp.org/journal/PaperInformation.aspx?paperID=6570
http___dx.doi.org_10.4236_jsea.2011.48054 http://dx.doi.org/10.4236/jsea.2011.48054
Rahati:2016:CEC A Gene Expression Programming Framework for Evolutionary Design of Metaheuristic Algorithms
AminRahati.html
HojjatRakhshani.html
http___dx.doi.org_10.1109_CEC.2016.7743960 http://dx.doi.org/10.1109/CEC.2016.7743960
Rahdari:2016:CEE A two-level multi-gene genetic programming model for speech quality prediction in Voice over Internet Protocol systems
FarhadRahdari.html
MehdiEftekhari.html
RezaMousavi.html
http___dx.doi.org_10.1016_j.compeleceng.2015.10.008 http://dx.doi.org/10.1016/j.compeleceng.2015.10.008
http___www.sciencedirect.com_science_article_pii_S0045790615003535 http://www.sciencedirect.com/science/article/pii/S0045790615003535
Rahimi:2013:GECCOcomp Label free change detection on streaming data with cooperative multi-objective genetic programming
SaraKhanchi.html
AndrewRMcIntyre.html
MalcolmHeywood.html
NurZincir-Heywood.html
http___dx.doi.org_10.1145_2464576.2464652 http://dx.doi.org/10.1145/2464576.2464652
RahimiPordanjani:2012:ieeeTEC A Novel Genetic Programming Approach for Frequency-dependent Modeling
IrajRahimiPordanjani.html
HoomanErfanianMazin.html
WilsunXu.html
http___ieeexplore.ieee.org_xpl_articleDetails.jsp_tp__arnumber_6194300 http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6194300
http___dx.doi.org_10.1109_TEVC.2012.2197400 http://dx.doi.org/10.1109/TEVC.2012.2197400
rahman:2020:Sustainability Soft Computing Applications in Air Quality Modeling: Past, Present, and Future
MuhammadMuhiturRahman.html
MdShafiullah.html
SyedMasiurRahman.html
AbuNasserKhondaker.html
AbduljamiuOlalekanAmao.html
MdHasanZahir.html
https___www.mdpi.com_2071-1050_12_10_4045 https://www.mdpi.com/2071-1050/12/10/4045
http___dx.doi.org_10.3390_su12104045 http://dx.doi.org/10.3390/su12104045
RAIBAUDO:2017:IFAC-PapersOnLine Open and closed-loop control of a triangular bluff body using rotating cylinders
CedricRaibaudo.html
PZhong.html
RobertMartinuzzi.html
BerndRNoack.html
http___dx.doi.org_10.1016_j.ifacol.2017.08.2475 http://dx.doi.org/10.1016/j.ifacol.2017.08.2475
http___www.sciencedirect.com_science_article_pii_S2405896317333918 http://www.sciencedirect.com/science/article/pii/S2405896317333918
Raibaudo:2021:EiF Unsteady actuation and feedback control of the experimental fluidic pinball using genetic programming
CedricRaibaudo.html
RobertMartinuzzi.html
https___hal-univ-orleans.archives-ouvertes.fr_hal-03371788 https://hal-univ-orleans.archives-ouvertes.fr/hal-03371788
http___dx.doi.org_10.1007_s00348-021-03309-1 http://dx.doi.org/10.1007/s00348-021-03309-1
raidl:1998:hGPnrsr A Hybrid GP Approach for Numerically Robust Symbolic Regression
GuntherRRaidl.html
http___www.ads.tuwien.ac.at_publications_bib_pdf_raidl-98c.pdf http://www.ads.tuwien.ac.at/publications/bib/pdf/raidl-98c.pdf
Raidl:2009:GECCO GECCO '09: Proceedings of the 11th annual conference on Genetic and evolutionary computation
GuntherRRaidl.html
FranzRothlauf.html
GiovanniSquillero.html
RolfDrechsler.html
ThomasStuetzle.html
MauroBirattari.html
ClareBatesCongdon.html
MartinMiddendorf.html
ChristianBlum.html
CarlosCotta.html
PeterANBosman.html
JoernGrahl.html
JoshuaDKnowles.html
DavidWCorne.html
Hans-GeorgBeyer.html
KennethOStanley.html
JulianFMiller.html
JanoIvanHemert.html
TomLenaerts.html
MarcEbner.html
JaumeBacardit.html
MichaelO'Neill.html
MassimilianoDiPenta.html
BenjaminDoerr.html
ThomasJansen.html
RiccardoPoli.html
EnriqueAlba.html
http___dl.acm.org_citation.cfm_id_1569901_coll_DL_dl_ACM http://dl.acm.org/citation.cfm?id=1569901&coll=DL&dl=ACM
RaikDurnota94 The Evolution of Sporting Strategies
SimonERaik.html
BohdanDurnota.html
http___www.csse.monash.edu.au_publications_1994_sd-P94-1.ps.gz http://www.csse.monash.edu.au/publications/1994/sd-P94-1.ps.gz
http___citeseer.ist.psu.edu_raik94evolution.html http://citeseer.ist.psu.edu/raik94evolution.html
RaikDurnota95 The Evolution of Sporting Strategies
SimonERaik.html
BohdanDurnota.html
http___www.complexity.org.au_ci_vol02_raik_raik.html http://www.complexity.org.au/ci/vol02/raik/raik.html
raik:1996:ie Implicit versus Explicit: A Comparison of State in Genetic Programming
SimonERaik.html
DavidGBrowne.html
Raik:1997:ppe Parallel Program Execution
SimonERaik.html
raik:1997:SEAL Evolving state and memory in genetic programming
SimonERaik.html
DavidGBrowne.html
http___link.springer.com_chapter_10.1007_BFb0028523 http://link.springer.com/chapter/10.1007/BFb0028523
http___dx.doi.org_10.1007_BFb0028523 http://dx.doi.org/10.1007/BFb0028523
Rainford:2021:GI Open Challenges in Genetic Improvement for Emergent Software Systems
PenelopeFaulknerRainford.html
BarryPorter.html
https___geneticimprovementofsoftware.com_paper_pdfs_gi2021icse_rainford_gi-icse_2021.pdf https://geneticimprovementofsoftware.com/paper_pdfs/gi2021icse/rainford_gi-icse_2021.pdf
https___www.youtube.com_watch_v_nJOXo_8P__4_list_PLI8fiFpB7BoKDaxvS7SQp0iA7fN7rrvDD_index_9 https://www.youtube.com/watch?v=nJOXo_8P__4&list=PLI8fiFpB7BoKDaxvS7SQp0iA7fN7rrvDD&index=9
https___www.youtube.com_watch_v_rve5PbjixZw_list_PLI8fiFpB7BoKDaxvS7SQp0iA7fN7rrvDD_index_10 https://www.youtube.com/watch?v=rve5PbjixZw&list=PLI8fiFpB7BoKDaxvS7SQp0iA7fN7rrvDD&index=10
https___www.youtube.com_watch_v_2OE9Yiz0yMk_list_PLXTjhGKkSnI-se7uQneCX-pEDiDrQ7TIS_index_8 https://www.youtube.com/watch?v=2OE9Yiz0yMk&list=PLXTjhGKkSnI-se7uQneCX-pEDiDrQ7TIS&index=8
http___dx.doi.org_10.1109_GI52543.2021.00018 http://dx.doi.org/10.1109/GI52543.2021.00018
rainford:2022:GECCO Using Phylogenetic Analysis to Enhance Genetic Improvement
PenelopeFaulknerRainford.html
BarryPorter.html
http___dx.doi.org_10.1145_3512290.3528789 http://dx.doi.org/10.1145/3512290.3528789
https___vimeo.com_722562374 https://vimeo.com/722562374
Rainford:2022:ALife Lineage Selection in Mixed Populations for Genetic Improvement
PenelopeFaulknerRainford.html
BarryPorter.html
https___direct.mit.edu_isal_proceedings_isal_34_16_112318 https://direct.mit.edu/isal/proceedings/isal/34/16/112318
http___dx.doi.org_10.1162_isal_a_00494 http://dx.doi.org/10.1162/isal_a_00494
http___www.projectdana.com_research_alife2022rainford http://www.projectdana.com/research/alife2022rainford
Rainford:2022:TELO Code and Data Synthesis for Genetic Improvement in Emergent Software Systems
PenelopeFaulknerRainford.html
BarryPorter.html
http___dx.doi.org_10.1145_3542823 http://dx.doi.org/10.1145/3542823
Raj:2011:ICCCET Analysis on credit card fraud detection methods
SBensonEdwinRaj.html
AAnniePortia.html
http___dx.doi.org_10.1109_ICCCET.2011.5762457 http://dx.doi.org/10.1109/ICCCET.2011.5762457
Raja:2006:1bimnics Non-Intrusive Quality Evaluation of VoIP Using Genetic Programming
AdilRaja.html
RMuhammadAtifAzad.html
ColinFlanagan.html
DorelPicovici.html
ConorRyan.html
http___dx.doi.org_10.1109_BIMNICS.2006.361795 http://dx.doi.org/10.1109/BIMNICS.2006.361795
eurogp07:raja Real-Time, Non-Intrusive Evaluation of VoIP
AdilRaja.html
RMuhammadAtifAzad.html
ColinFlanagan.html
ConorRyan.html
http___dx.doi.org_10.1007_978-3-540-71605-1_20 http://dx.doi.org/10.1007/978-3-540-71605-1_20
Raja:2007:FBIT An Evolutionary Approach to Speech Quality Estimation
AdilRaja.html
RMuhammadAtifAzad.html
ColinFlanagan.html
ConorRyan.html
http___dx.doi.org_10.1109_FBIT.2007.98 http://dx.doi.org/10.1109/FBIT.2007.98
conf/eurogp/RajaF08 Real-Time, Non-intrusive Speech Quality Estimation: A Signal-Based Model
AdilRaja.html
ColinFlanagan.html
http___dx.doi.org_10.1007_978-3-540-78671-9_4 http://dx.doi.org/10.1007/978-3-540-78671-9_4
Raja:2008:gecco VoIP speech quality estimation in a mixed context with genetic programming
AdilRaja.html
RMuhammadAtifAzad.html
ColinFlanagan.html
ConorRyan.html
http___gpbib.cs.ucl.ac.uk_gecco2008_docs_p1627.pdf http://gpbib.cs.ucl.ac.uk/gecco2008/docs/p1627.pdf
http___dx.doi.org_10.1145_1389095.1389402 http://dx.doi.org/10.1145/1389095.1389402
Raja:2008:ieeetMM A Methodology for Deriving VoIP Equipment Impairment Factors for a Mixed NB/WB Context
AdilRaja.html
RMuhammadAtifAzad.html
ColinFlanagan.html
ConorRyan.html
http___dx.doi.org_10.1109_TMM.2008.2001359 http://dx.doi.org/10.1109/TMM.2008.2001359
adil-raja-thesis-2008 Real-time Non-intrusive Speech Quality Estimation of Voice over Internet Protocol using Genetic Programming
AdilRaja.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_adil-raja-thesis-2008.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/adil-raja-thesis-2008.pdf
Raja:2010:SC Evolutionary speech quality estimation in VoIP
AdilRaja.html
RMuhammadAtifAzad.html
ColinFlanagan.html
ConorRyan.html
http___dx.doi.org_10.1007_s00500-009-0521-2 http://dx.doi.org/10.1007/s00500-009-0521-2
Raja:book Speech Quality Estimation of Voice over Internet Protocol: A Real-World Application of Evolutionary Algorithms
AdilRaja.html
ColinFlanagan.html
RMuhammadAtifAzad.html
http___www.amazon.com_Speech-Quality-Estimation-Internet-Protocol_dp_3659103020 http://www.amazon.com/Speech-Quality-Estimation-Internet-Protocol/dp/3659103020
Raja:IEEEAccess On Losses, Pauses, Jumps and the Wideband E-Model
AdilRaja.html
AnnaJagodzinska.html
VincentBarriac.html
https___ieeexplore.ieee.org_document_7934120_ https://ieeexplore.ieee.org/document/7934120/
http___dx.doi.org_10.1109_ACCESS.2017.2705428 http://dx.doi.org/10.1109/ACCESS.2017.2705428
Raja:2018:IDEAL GELAB - A Matlab Toolbox for Grammatical Evolution
AdilRaja.html
ConorRyan.html
http___dx.doi.org_10.1007_978-3-030-03496-2_22 http://dx.doi.org/10.1007/978-3-030-03496-2_22
conf/ideal/RajaMR20 GELAB and Hybrid Optimization Using Grammatical Evolution
AdilRaja.html
AidanMurphy.html
ConorRyan.html
http___dx.doi.org_10.1007_978-3-030-62362-3_26 http://dx.doi.org/10.1007/978-3-030-62362-3_26
rajabi:2022:SC Prediction of the degree of steel corrosion damage in reinforced concrete using field-based data by multi-gene genetic programming approach
ZahraRajabi.html
MehdiEftekhari.html
MohammadAliGhorbani.html
MaryamEhteshamzadeh.html
HadiBeirami.html
http___link.springer.com_article_10.1007_s00500-021-06704-2 http://link.springer.com/article/10.1007/s00500-021-06704-2
http___dx.doi.org_10.1007_s00500-021-06704-2 http://dx.doi.org/10.1007/s00500-021-06704-2
Rajabioun:2008:WCE A Genetic Programming Based Stock Price Predictor together with Mean-Variance Based Sell/Buy Actions
RaminRajabioun.html
AshkanRahimi-Kian.html
http___www.iaeng.org_publication_WCE2008_WCE2008_pp1136-1141.pdf http://www.iaeng.org/publication/WCE2008/WCE2008_pp1136-1141.pdf
RAJAEE:2020:CILS Artificial intelligence-based single and hybrid models for prediction of water quality in rivers: A review
TaherRajaee.html
SalarKhani.html
MasoudRavansalar.html
http___dx.doi.org_10.1016_j.chemolab.2020.103978 http://dx.doi.org/10.1016/j.chemolab.2020.103978
http___www.sciencedirect.com_science_article_pii_S0169743919304939 http://www.sciencedirect.com/science/article/pii/S0169743919304939
Rajaei:2011:SCIA Optimization of Combinational Logic Circuits Using NAND Gates and Genetic Programming
ArezooRajaei.html
MahboobehHoushmand.html
ModjtabaRouhani.html
http___dx.doi.org_10.1007_978-3-642-20505-7_36 http://dx.doi.org/10.1007/978-3-642-20505-7_36
RAJAN:2020:SS Reliability-based design optimisation of structural systems using high-order analytical moments
ArvindRajan.html
FuJiaLuo.html
YeChowKuang.html
YuBai.html
MelaniePo-LeenOoi.html
http___dx.doi.org_10.1016_j.strusafe.2020.101970 http://dx.doi.org/10.1016/j.strusafe.2020.101970
http___www.sciencedirect.com_science_article_pii_S0167473020300497 http://www.sciencedirect.com/science/article/pii/S0167473020300497
Rajapakse:2019:GPTP Cellular Reprogramming
IndikaRajapakse.html
https___rajapakse.lab.medicine.umich.edu_ https://rajapakse.lab.medicine.umich.edu/
DBLP:conf/ijcai/RakotoarisonSS19 Automated Machine Learning with Monte-Carlo Tree Search
HerilalainaRakotoarison.html
MarcSchoenauer.html
MicheleSebag.html
https___dblp.org_rec_conf_ijcai_RakotoarisonSS19.bib https://dblp.org/rec/conf/ijcai/RakotoarisonSS19.bib
https___www.ijcai.org_proceedings_2019_0457.pdf https://www.ijcai.org/proceedings/2019/0457.pdf
https___doi.org_10.24963_ijcai.2019_457 https://doi.org/10.24963/ijcai.2019/457
http___dx.doi.org_10.24963_ijcai.2019_457 http://dx.doi.org/10.24963/ijcai.2019/457
Raman1997155 Optimization Via Evolutionary Processes
SrilataRaman.html
LMPatnaik.html
http___dx.doi.org_10.1016_S0065-2458_08_60708-1 http://dx.doi.org/10.1016/S0065-2458(08)60708-1
http___www.sciencedirect.com_science_article_B7RNF-4SG68V6-8_2_8407d494bdc0acf7f4ebfa9e28b302e2 http://www.sciencedirect.com/science/article/B7RNF-4SG68V6-8/2/8407d494bdc0acf7f4ebfa9e28b302e2
http___www.amazon.com_s_ref_nb_sb_noss_url_search-alias_3Dstripbooks_field-keywords_Emphasizing_Parallel_Programming_Techniques_x_0_y_0 http://www.amazon.com/s/ref=nb_sb_noss?url=search-alias%3Dstripbooks&field-keywords=Emphasizing+Parallel+Programming+Techniques&x=0&y=0
conf/iicai/RamaniSSV07 A New Tree Generation Algorithm for Genetic Programming
RGeethaRamani.html
RenganathanSubramanian.html
SSivaSathya.html
PViswanath.html
oai:arXiv.org:1408.6553 An Observational Study: The Effect of Diuretics Administration on Outcomes of Mortality and Mean Duration of I.C.U. Stay
DanieleRamazzotti.html
http___arxiv.org_abs_1408.6553 http://arxiv.org/abs/1408.6553
DBLP:journals/asc/RamezanianPE19 An integrated framework of genetic network programming and multi-layer perceptron neural network for prediction of daily stock return: An application in Tehran stock exchange market
RezaRamezanian.html
ArsalanPeymanfar.html
SeyedBabakEbrahimi.html
https___doi.org_10.1016_j.asoc.2019.105551 https://doi.org/10.1016/j.asoc.2019.105551
http___dx.doi.org_10.1016_j.asoc.2019.105551 http://dx.doi.org/10.1016/j.asoc.2019.105551
https___dblp.org_rec_journals_asc_RamezanianPE19.bib https://dblp.org/rec/journals/asc/RamezanianPE19.bib
Ramirez:2011:SASO An Evolutionary Approach to Network Self-Organization and Resilient Data Diffusion
AndresJRamirez.html
BettyHCCheng.html
PhilipKMcKinley.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.636.7964 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.636.7964
http___www.cse.msu.edu__mckinley_Pubs_files_Ramirez.Network.SASO.2011.pdf http://www.cse.msu.edu/~mckinley/Pubs/files/Ramirez.Network.SASO.2011.pdf
http___dx.doi.org_10.1109_SASO.2011.31 http://dx.doi.org/10.1109/SASO.2011.31
2014-IS-Ramirez An approach for the evolutionary discovery of software architectures
AuroraRamirezQuesada.html
JoseRaulRomeroSalguero.html
SebastianVentura.html
http___www.sciencedirect.com_science_article_pii_S0020025515000559 http://www.sciencedirect.com/science/article/pii/S0020025515000559
http___dx.doi.org_10.1016_j.ins.2015.01.017 http://dx.doi.org/10.1016/j.ins.2015.01.017
Ramirez:2016:ESR A comparative study of many-objective evolutionary algorithms for the discovery of software architectures
AuroraRamirezQuesada.html
JoseRaulRomeroSalguero.html
SebastianVentura.html
http___dx.doi.org_10.1007_s10664-015-9399-z http://dx.doi.org/10.1007/s10664-015-9399-z
Ramirez:2018:HPCS Optimizing SMT Solving Strategies by Learning with an Evolutionary Process
NicolasGalvezRamirez.html
EricMonfroy.html
FredericSaubion.html
CarlosCastro.html
http___dx.doi.org_10.1109_HPCS.2018.00132 http://dx.doi.org/10.1109/HPCS.2018.00132
ramirez:evows07 A Genetic Programming Approach to Feature Selection and Classification of Instantaneous Cognitive States
RafaelRamirez.html
MontserratPuiggros.html
http___dx.doi.org_10.1007_978-3-540-71805-5_34 http://dx.doi.org/10.1007/978-3-540-71805-5_34
Ramirez:2007:cec An Evolutionary Computation Approach to Cognitive States Classification
RafaelRamirez.html
MontserratPuiggros.html
http___dx.doi.org_10.1109_CEC.2007.4424690 http://dx.doi.org/10.1109/CEC.2007.4424690
PABLO_RAMOS_CRIADO New techniques for Grammar Guided Genetic Programming: dealing with large derivation trees and high cardinality terminal symbol sets
PabloRamosCriado.html
http___oa.upm.es_48795_1_PABLO_RAMOS_CRIADO.pdf http://oa.upm.es/48795/1/PABLO_RAMOS_CRIADO.pdf
http___oa.upm.es_48795_ http://oa.upm.es/48795/
http___dx.doi.org_10.20868_upm.thesis.48795 http://dx.doi.org/10.20868/upm.thesis.48795
DBLP:journals/soco/Ramos-CriadoRMS20 Grammatically uniform population initialization for grammar-guided genetic programming
PabloRamosCriado.html
DoloresBarriosRolania.html
DanielManriqueGamo.html
EmilioSerrano.html
https___doi.org_10.1007_s00500-020-05061-w https://doi.org/10.1007/s00500-020-05061-w
http___dx.doi.org_10.1007_s00500-020-05061-w http://dx.doi.org/10.1007/s00500-020-05061-w
https___dblp.org_rec_journals_soco_Ramos-CriadoRMS20.bib https://dblp.org/rec/journals/soco/Ramos-CriadoRMS20.bib
ramos-criado:ECJ Estimation of Distribution Algorithm for Grammar-Guided Genetic Programming
PabloRamosCriado.html
DoloresBarriosRolania.html
DaviddelaHozGaliana.html
DanielManriqueGamo.html
http___dx.doi.org_10.1162_evco_a_00345 http://dx.doi.org/10.1162/evco_a_00345
series/sci/RamponeFL13 Assessing Consumer Credit Applications by a Genetic Programming Approach
SalvatoreRampone.html
FrancoFrattolillo.html
FedericaLandolfi.html
http___dx.doi.org_10.1007_978-3-642-32903-6_7 http://dx.doi.org/10.1007/978-3-642-32903-6_7
http___dx.doi.org_10.1007_978-3-642-32903-6_7 http://dx.doi.org/10.1007/978-3-642-32903-6_7
Rampone:2020:QualQuant On the relationship between energy-related plants and oncological cases in Basilicata (Italy) using soft computing methods
SalvatoreRampone.html
BiagioSimonetti.html
http___link.springer.com_10.1007_s11135-019-00866-w http://link.springer.com/10.1007/s11135-019-00866-w
http___dx.doi.org_10.1007_s11135-019-00866-w http://dx.doi.org/10.1007/s11135-019-00866-w
RAMPONE:2021:CMPB In silico analysis of the antimicrobial activity of phytochemicals: towards a technological breakthrough
SalvatoreRampone.html
CaterinaPagliarulo.html
ChiaraMarena.html
AntonelloOrsillo.html
MargheritaIannaccone.html
CarmelaTrionfo.html
DanielaSateriale.html
MarinaPaolucci.html
http___dx.doi.org_10.1016_j.cmpb.2020.105820 http://dx.doi.org/10.1016/j.cmpb.2020.105820
https___www.sciencedirect.com_science_article_pii_S0169260720316539 https://www.sciencedirect.com/science/article/pii/S0169260720316539
Ramsden:2014:ANE Design of Nanotechnology Products
JeremyJRamsden.html
http___dx.doi.org_10.1016_B978-1-4557-3189-3.00015-4 http://dx.doi.org/10.1016/B978-1-4557-3189-3.00015-4
http___www.sciencedirect.com_science_article_pii_B9781455731893000154 http://www.sciencedirect.com/science/article/pii/B9781455731893000154
Ramstein:2008:cec A Grammatical Swarm for Protein Classification
GerardRamstein.html
NicolasBeaume.html
YannickJacques.html
http___dx.doi.org_10.1109_CEC.2008.4631142 http://dx.doi.org/10.1109/CEC.2008.4631142
Ramtohul:2010:cfe Rebalancing triggers for the CPPI using genetic programming
TikeshRamtohul.html
DietmarGMaringer.html
http___www.cfe-csda.org_cfe10_LondonBoA.pdf http://www.cfe-csda.org/cfe10/LondonBoA.pdf
Ramya:2010:interact Evolving bio-inspired robots for keep away soccer through genetic programming
RamyaRavindran.html
http___dx.doi.org_10.1109_INTERACT.2010.5706174 http://dx.doi.org/10.1109/INTERACT.2010.5706174
Rana:2012:UKCI Reinforcement Programming for function approximation
SalahAzizRana.html
MalcolmCrowe.html
ColinFyfe.html
http___dx.doi.org_10.1109_UKCI.2012.6335777 http://dx.doi.org/10.1109/UKCI.2012.6335777
Ranasinghe:thesis Prediction of the Effectiveness of Rolling Dynamic Compaction Using Artificial Intelligence Techniques and In Situ Soil Test Data
RanasingheArachchilageTharangaMadhushaniRanasinghe.html
https___digital.library.adelaide.edu.au_dspace_bitstream_2440_118672_1_Ranasinghe2017_PhD.pdf https://digital.library.adelaide.edu.au/dspace/bitstream/2440/118672/1/Ranasinghe2017_PhD.pdf
http___hdl.handle.net_2440_118672 http://hdl.handle.net/2440/118672
https___researchers.adelaide.edu.au_profile_mark.jaksa https://researchers.adelaide.edu.au/profile/mark.jaksa
Ranasinghe:2017:pICEgi Predicting the effectiveness of rolling dynamic compaction using genetic programming
RanasingheArachchilageTharangaMadhushaniRanasinghe.html
MarkBJaksa.html
FereydoonPooyaNejad.html
YienLikKuo.html
https___www.icevirtuallibrary.com_doi_10.1680_jgrim.17.00009 https://www.icevirtuallibrary.com/doi/10.1680/jgrim.17.00009
http___dx.doi.org_10.1680_jgrim.17.00009 http://dx.doi.org/10.1680/jgrim.17.00009
http___hdl.handle.net_2440_109365 http://hdl.handle.net/2440/109365
RANASINGHE:2019:JRMGE Genetic programming for predictions of effectiveness of rolling dynamic compaction with dynamic cone penetrometer test results
RanasingheArachchilageTharangaMadhushaniRanasinghe.html
MarkBJaksa.html
FereydoonPooyaNejad.html
YLKuo.html
http___dx.doi.org_10.1016_j.jrmge.2018.10.007 http://dx.doi.org/10.1016/j.jrmge.2018.10.007
http___www.sciencedirect.com_science_article_pii_S1674775518302671 http://www.sciencedirect.com/science/article/pii/S1674775518302671
Rand:2012:GECCOcomp GECCO Companion '12: Proceedings of the fourteenth international conference on Genetic and evolutionary computation conference companion
WilliamMichaelRand.html
Alexandru-AdrianTantar.html
EmiliaTantar.html
PeterANBosman.html
NikhilPadhye.html
AaronBaughman.html
StefanVanDerStock.html
MichaelPerlitz.html
StevenMGustafson.html
JonathanJesneck.html
GiseleLPappa.html
JohnRWoodward.html
MatthewRHyde.html
JerrySwan.html
StefanWagner.html
MichaelAffenzeller.html
AnneAuger.html
AlexandreChotard.html
NikolausHansen.html
VerenaHeidrich-Meisner.html
OlafMersmann.html
PetrPosik.html
MikePreuss.html
ForrestStonedahl.html
RickLRiolo.html
StephaneDoncieux.html
YaochuJin.html
Jean-BaptisteMouret.html
DanieleLoiacono.html
AlbertOrriols-Puig.html
RyanJUrbanowicz.html
KentMcClymont.html
EdKeedwell.html
RichardEverson.html
JonathanEFieldsend.html
DavidWalker.html
FranciscoFernandezdeVega.html
CarlosCotta.html
StevenMGustafson.html
Ekaterina_Katya_Vladislavleva.html
StephenLSmith.html
StefanoCagnoni.html
RobertMPatton.html
SherriGoings.html
AlisonAMotsinger.html
KatyaRodriguez-Vazquez.html
ChristianBlum.html
GabrielaOchoa.html
JasonHMoore.html
http___dl.acm.org_citation.cfm_id_2330784 http://dl.acm.org/citation.cfm?id=2330784
randall:2022:SymReg Bingo: A Customizable Framework for Symbolic Regression with Genetic Programming
DavidLRandall.html
TylerSTownsend.html
JacobDeanHochhalter.html
GeoffreyFBomarito.html
http___dx.doi.org_10.1145_3520304.3534031 http://dx.doi.org/10.1145/3520304.3534031
RANJBAR:2020:Heliyon Development of a robust ensemble meta-model for prediction of salinity time series under uncertainty (case study: Talar aquifer)
AliRanjbar.html
ClaudiaCherubini.html
http___dx.doi.org_10.1016_j.heliyon.2020.e05758 http://dx.doi.org/10.1016/j.heliyon.2020.e05758
https___www.sciencedirect.com_science_article_pii_S2405844020326013 https://www.sciencedirect.com/science/article/pii/S2405844020326013
Rankothge:2015:isinm Towards making network function virtualization a cloud computing service
WindhyaRankothge.html
JiefeiMa.html
FranckLe.html
AlessandraRusso.html
JorgeLobo.html
http___dx.doi.org_10.1109_INM.2015.7140280 http://dx.doi.org/10.1109/INM.2015.7140280
rao:2018:DEIC Dynamic Secure Deduplication in Cloud Using Genetic Programming
KVPanduRangaRao.html
VKrishnaReddy.html
SKYakoob.html
http___link.springer.com_chapter_10.1007_978-981-10-3223-3_48 http://link.springer.com/chapter/10.1007/978-981-10-3223-3_48
http___dx.doi.org_10.1007_978-981-10-3223-3_48 http://dx.doi.org/10.1007/978-981-10-3223-3_48
conf/icnc/RaoWY09 Improving Gene Expression Programming Using Parallel Taboo Search
YuanRao.html
Ru-chuanWang.html
Chang-anYuan.html
http___dx.doi.org_10.1109_ICNC.2009.124 http://dx.doi.org/10.1109/ICNC.2009.124
Rashed2011 Nonlinear modelling of soil deformation modulus through LGP-based interpretation of pressuremeter test results
AzadehRashed.html
JafarBolouriBazaz.html
AHAlavi.html
http___dx.doi.org_10.1016_j.engappai.2011.11.008 http://dx.doi.org/10.1016/j.engappai.2011.11.008
http___www.sciencedirect.com_science_article_pii_S0952197611002193 http://www.sciencedirect.com/science/article/pii/S0952197611002193
https___profdoc.um.ac.ir_articles_a_1035742.pdf https://profdoc.um.ac.ir/articles/a/1035742.pdf
Rashid:2008:ICICIC Adaptable Evolutionary Particle Swarm Optimization
MuhammadRashid.html
AbdulRaufBaig.html
http___dx.doi.org_10.1109_ICICIC.2008.621 http://dx.doi.org/10.1109/ICICIC.2008.621
Rashid:2010:IJICIC PSOGP: A Genetic Programming Based Adaptable Evolutionary Hybrid Particle Swarm Optimization
MuhammadRashid.html
AbdulRaufBaig.html
http___www.ijicic.org_icic08-si01-13-1.pdf http://www.ijicic.org/icic08-si01-13-1.pdf
journals/cacie/RashidiR15 Bus Dwell Time Modeling Using Gene Expression Programming
SoroushRashidi.html
PrakashRanjitkar.html
http___dx.doi.org_10.1111_mice.12125 http://dx.doi.org/10.1111/mice.12125
conf/csp/Rataj13 Fractional Genetic Programming for a More Gradual Evolution
ArturRataj.html
http___ceur-ws.org_Vol-1032 http://ceur-ws.org/Vol-1032
http___ceur-ws.org_Vol-1032_paper-32.pdf http://ceur-ws.org/Vol-1032/paper-32.pdf
conf/csp/Rataj14 Fractional Genetic Programming with Probability Density Data
ArturRataj.html
http___ceur-ws.org_Vol-1269 http://ceur-ws.org/Vol-1269
http___ceur-ws.org_Vol-1269_paper220.pdf http://ceur-ws.org/Vol-1269/paper220.pdf
Ratcliff:2011:GECCO Searching for invariants using genetic programming and mutation testing
SamRatcliff.html
DavidRobertWhite.html
JohnAClark.html
http___dx.doi.org_10.1145_2001576.2001832 http://dx.doi.org/10.1145/2001576.2001832
Rathore:2015:PCS Predicting Number of Faults in Software System using Genetic Programming
SantoshSRathore.html
SandeepKumar.html
http___dx.doi.org_10.1016_j.procs.2015.08.454 http://dx.doi.org/10.1016/j.procs.2015.08.454
http___www.sciencedirect.com_science_article_pii_S1877050915025892 http://www.sciencedirect.com/science/article/pii/S1877050915025892
Rathore:2015:RAECE Comparative analysis of neural network and genetic programming for number of software faults prediction
SantoshSRathore.html
SandeepKumar.html
http___dx.doi.org_10.1109_RAECE.2015.7510216 http://dx.doi.org/10.1109/RAECE.2015.7510216
Rathore:2017:ESA Towards an ensemble based system for predicting the number of software faults
SantoshSRathore.html
SandeepKumar.html
http___dx.doi.org_10.1016_j.eswa.2017.04.014 http://dx.doi.org/10.1016/j.eswa.2017.04.014
http___www.sciencedirect.com_science_article_pii_S0957417417302506 http://www.sciencedirect.com/science/article/pii/S0957417417302506
RatlePPSN2000 Genetic Programming and Domain Knowledge: Beyond the Limitations of Grammar-Guided Machine Discovery
AlainRatle.html
MicheleSebag.html
http___www.lri.fr__sebag_REF_PPSN00.ps http://www.lri.fr/~sebag/REF/PPSN00.ps
http___citeseer.ist.psu.edu_377863.html http://citeseer.ist.psu.edu/377863.html
http___dx.doi.org_10.1007_3-540-45356-3_21 http://dx.doi.org/10.1007/3-540-45356-3_21
Ratle:2001:ASC Grammar-guided genetic programming and dimensional consistency: application to non-parametric identification in mechanics
AlainRatle.html
MicheleSebag.html
https___hal.archives-ouvertes.fr_hal-00111336_document https://hal.archives-ouvertes.fr/hal-00111336/document
http___dx.doi.org_10.1016_S1568-4946_01_00009-6 http://dx.doi.org/10.1016/S1568-4946(01)00009-6
Ratle:2001:EA Avoiding the Bloat with Stochastic Grammar-Based Genetic Programming
AlainRatle.html
MicheleSebag.html
http___arxiv.org_PS_cache_cs_pdf_0602_0602022v1.pdf http://arxiv.org/PS_cache/cs/pdf/0602/0602022v1.pdf
http___dx.doi.org_10.1007_3-540-46033-0_21 http://dx.doi.org/10.1007/3-540-46033-0_21
ratle:2002:gecco:workshop Stochastic Grammatical Programming to Avoid the Bloat
AlainRatle.html
MicheleSebag.html
ILP02-Ratle A novel approach to Machine Discovery: Genetic Programming and Stochastic Grammars
AlainRatle.html
MicheleSebag.html
http___dx.doi.org_10.1007_3-540-36468-4_14 http://dx.doi.org/10.1007/3-540-36468-4_14
journals/corr/abs-cs-0602022 Avoiding the Bloat with Stochastic Grammar-based Genetic Programming
AlainRatle.html
MicheleSebag.html
http___arxiv.org_abs_cs_0602022 http://arxiv.org/abs/cs/0602022
Ratle2008123 Advanced clustering methods for mining chemical databases in forensic science
FredericRatle.html
ChristianGagne.html
Anne-LaureTerrettaz-Zufferey.html
MikhailFKanevski.html
PierreEsseiva.html
OlivierRibaux.html
http___sites.google.com_site_fredericratle_ratle_gagne_chemo.pdf http://sites.google.com/site/fredericratle/ratle_gagne_chemo.pdf
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.134.7959 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.134.7959
http___dx.doi.org_10.1016_j.chemolab.2007.09.001 http://dx.doi.org/10.1016/j.chemolab.2007.09.001
http___www.sciencedirect.com_science_article_B6TFP-4PMT2KM-1_2_e248214c0a37620fa970bc9a2020a7c2 http://www.sciencedirect.com/science/article/B6TFP-4PMT2KM-1/2/e248214c0a37620fa970bc9a2020a7c2
Phat A Genetic Programming Model: Data-defined, Data Mining, Variable Selection, and Decile Optimization
BruceRatner.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.521.6847 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.521.6847
http___www.geniq.net_res_Phat.pdf http://www.geniq.net/res/Phat.pdf
Ratner2001 Finding the best variables for direct marketing models
BruceRatner.html
http___dx.doi.org_10.1057_palgrave.jt.5740021 http://dx.doi.org/10.1057/palgrave.jt.5740021
Rattagan:2018:ieeeSusComp Clustering and Symbolic Regression for Power Consumption Estimation on Smartphone Hardware Subsystems
EkaratRattagan.html
Ying-DarLin.html
Yuan-ChengLai.html
EdwardT-HChu.html
KateChing-JuLin.html
http___dx.doi.org_10.1109_TSUSC.2018.2832173 http://dx.doi.org/10.1109/TSUSC.2018.2832173
Ratzinger:2007:WCRE Quality Assessment Based on Attribute Series of Software Evolution
JacekRatzinger.html
HaraldGall.html
MartinPinzger.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.472.9032 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.472.9032
http___serg.aau.at_pub_MartinPinzger_Publications_Ratzinger2007-quality.pdf http://serg.aau.at/pub/MartinPinzger/Publications/Ratzinger2007-quality.pdf
http___dx.doi.org_10.1109_WCRE.2007.39 http://dx.doi.org/10.1109/WCRE.2007.39
Rausanu:2013:CEC Evolving biochemical systems
SilviaRausanu.html
CrinaGrosan.html
ZujianWu.html
OvidiuParvu.html
DavidGilbert.html
http___dx.doi.org_10.1109_CEC.2013.6557753 http://dx.doi.org/10.1109/CEC.2013.6557753
Rauss:2000:GECCO Classification of Spectral Imagery Using Genetic Programming
PatrickJRauss.html
JasonMDaida.html
ShahbazAChaudhary.html
http___gpbib.cs.ucl.ac.uk_gecco2000_RW157.pdf http://gpbib.cs.ucl.ac.uk/gecco2000/RW157.pdf
ARL-TR-907 Hyperspectral and Spectro-Polarimetric Pixel-Level Classification Using Genetic Programming
PatrickJRauss.html
http___handle.dtic.mil_100.2_ADA397832 http://handle.dtic.mil/100.2/ADA397832
http___www.dtic.mil_docs_citations_ADA397832 http://www.dtic.mil/docs/citations/ADA397832
http___www.amazon.com_Hyperspectral-Spectro-Polarimetric-Pixel-Level-Classification-Programming_dp_142352506X http://www.amazon.com/Hyperspectral-Spectro-Polarimetric-Pixel-Level-Classification-Programming/dp/142352506X
ravandi:2018:GaGE Water Curtain System Pre-design for Crude Oil Storage URCs: A Numerical Modeling and Genetic Programming Approach
EbrahimGhotbiRavandi.html
RezaRahmannejad.html
SaeedKarimi-Nasab.html
AmirSarrafi.html
AmirRaoof.html
http___link.springer.com_article_10.1007_s10706-017-0355-0 http://link.springer.com/article/10.1007/s10706-017-0355-0
http___dx.doi.org_10.1007_s10706-017-0355-0 http://dx.doi.org/10.1007/s10706-017-0355-0
Ravansalar:2016:JH A wavelet-linear genetic programming model for sodium (Na+) concentration forecasting in rivers
MasoudRavansalar.html
TaherRajaee.html
MohammadZounemat-Kermani.html
http___dx.doi.org_10.1016_j.jhydrol.2016.03.062 http://dx.doi.org/10.1016/j.jhydrol.2016.03.062
http___www.sciencedirect.com_science_article_pii_S0022169416301767 http://www.sciencedirect.com/science/article/pii/S0022169416301767
Ravansalar:2017:JH Wavelet-linear genetic programming: A new approach for modeling monthly streamflow
MasoudRavansalar.html
TaherRajaee.html
OzgurKisi.html
http___dx.doi.org_10.1016_j.jhydrol.2017.04.018 http://dx.doi.org/10.1016/j.jhydrol.2017.04.018
http___www.sciencedirect.com_science_article_pii_S0022169417302378 http://www.sciencedirect.com/science/article/pii/S0022169417302378
Ravisankar20101257 Failure prediction of dotcom companies using neural network-genetic programming hybrids
PRaviShankar.html
VadlamaniRavi.html
IndranilBose.html
http___dx.doi.org_10.1016_j.ins.2009.12.022 http://dx.doi.org/10.1016/j.ins.2009.12.022
http___www.sciencedirect.com_science_article_B6V0C-4Y34WFM-5_2_cbd0cd0edc9c64770138aba7a79b9c8a http://www.sciencedirect.com/science/article/B6V0C-4Y34WFM-5/2/cbd0cd0edc9c64770138aba7a79b9c8a
Ravisankar2011491 Detection of financial statement fraud and feature selection using data mining techniques
PRaviShankar.html
VadlamaniRavi.html
GRaghavaRao.html
IndranilBose.html
http___dx.doi.org_10.1016_j.dss.2010.11.006 http://dx.doi.org/10.1016/j.dss.2010.11.006
DBLP:journals/corr/abs-1803-04439 From Nodes to Networks: Evolving Recurrent Neural Networks
AdityaRawal.html
RistoMiikkulainen.html
http___www.human-competitive.org_sites_default_files_rawal-paper.pdf http://www.human-competitive.org/sites/default/files/rawal-paper.pdf
http___arxiv.org_abs_1803.04439 http://arxiv.org/abs/1803.04439
Rawal:2020:DNE Discovering Gated Recurrent Neural Network Architectures
AdityaRawal.html
JasonLiang.html
RistoMiikkulainen.html
http___dx.doi.org_10.1007_978-981-15-3685-4_9 http://dx.doi.org/10.1007/978-981-15-3685-4_9
Rawat:2013:SSCI Evolving Indigestible Codes: Fuzzing Interpreters with Genetic Programming
SanjayRawat.html
FabienDuchene.html
RolandGroz.html
Jean-LucRichier.html
http___ieeexplore.ieee.org_xpl_articleDetails.jsp_arnumber_6597203 http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6597203
http___dx.doi.org_10.1109_CICYBS.2013.6597203 http://dx.doi.org/10.1109/CICYBS.2013.6597203
icga91:ray Is it Alive or is it GA
ThomasSRay.html
raymer:1996:GPidm:bpi Genetic Programming for Improved Data Mining: An Application to the Biochemistry of Protein Interactions
MichaelLRaymer.html
WilliamFPunch.html
ErikGoodman.html
LAKuhn.html
http___garage.cse.msu.edu_papers_GARAGe96-04-01.pdf http://garage.cse.msu.edu/papers/GARAGe96-04-01.pdf
http___cognet.mit.edu_sites_default_files_books_9780262315876_pdfs_9780262315876_chap51.pdf http://cognet.mit.edu/sites/default/files/books/9780262315876/pdfs/9780262315876_chap51.pdf
http___cognet.mit.edu_library_books_view_isbn_0262611279 http://cognet.mit.edu/library/books/view?isbn=0262611279
Raymond:2019:CEC Genetic Programming with Rademacher Complexity for Symbolic Regression
ChristianRaymond.html
QiChen.html
BingXue.html
MengjieZhang.html
https___github.com_Decadz_Genetic-Programming-with-Rademacher-Complexity https://github.com/Decadz/Genetic-Programming-with-Rademacher-Complexity
http___dx.doi.org_10.1109_CEC.2019.8790341 http://dx.doi.org/10.1109/CEC.2019.8790341
Raymond:2020:GECCO Adaptive Weighted Splines: A New Representation to Genetic Programming for Symbolic Regression
ChristianRaymond.html
QiChen.html
BingXue.html
MengjieZhang.html
https___doi.org_10.1145_3377930.3390244 https://doi.org/10.1145/3377930.3390244
http___dx.doi.org_10.1145_3377930.3390244 http://dx.doi.org/10.1145/3377930.3390244
Raymond:2021:GECCOcomp Multi-objective Genetic Programming for Symbolic Regression with the Adaptive Weighted Splines Representation
ChristianRaymond.html
QiChen.html
BingXue.html
MengjieZhang.html
http___dx.doi.org_10.1145_3449726.3459461 http://dx.doi.org/10.1145/3449726.3459461
Raymond:2022:EuroGP Multi-objective Genetic Programming with the Adaptive Weighted Splines Representation for Symbolic Regression
ChristianRaymond.html
QiChen.html
BingXue.html
MengjieZhang.html
http___dx.doi.org_10.1007_978-3-031-02056-8_4 http://dx.doi.org/10.1007/978-3-031-02056-8_4
raymond:2023:GECCO Fast and Efficient Local-Search for Genetic Programming Based Loss Function Learning
ChristianRaymond.html
QiChen.html
BingXue.html
MengjieZhang.html
http___dx.doi.org_10.1145_3583131.3590361 http://dx.doi.org/10.1145/3583131.3590361
raynal:1999:MNIAUGP Manipulation of Non-Linear IFS Attractors Using Genetic Programming
FredericRaynal.html
EvelyneLutton.html
PierreCollet.html
MarcSchoenauer.html
http___minimum.inria.fr_evo-lab_Publications_PapierCEC99-Final.ps.gz http://minimum.inria.fr/evo-lab/Publications/PapierCEC99-Final.ps.gz
http___citeseer.ist.psu.edu_197152.html http://citeseer.ist.psu.edu/197152.html
http___dx.doi.org_10.1109_CEC.1999.782556 http://dx.doi.org/10.1109/CEC.1999.782556
Rayno:2013:APSURSI 3D metamaterial broadband ground plane designed using genetic programming for the long slot array antenna
JenniferTaylorRayno.html
JillSKNakatsu.html
GuiChaoHuang.html
NuriCelik.html
MagdyFIskander.html
http___dx.doi.org_10.1109_APS.2013.6710861 http://dx.doi.org/10.1109/APS.2013.6710861
Rayno:2014:APSURSI Synthesis of Broadband 3D AMC Ground Planes Using Genetic Programming
JenniferTaylorRayno.html
NuriCelik.html
MagdyFIskander.html
http___dx.doi.org_10.1109_APS.2014.6904349 http://dx.doi.org/10.1109/APS.2014.6904349
Rayno:2014:ieeeTAP Synthesis of Broadband True-3D Metamaterial Artificial Magnetic Conductor Ground Planes Using Genetic Programming
JenniferTaylorRayno.html
MagdyFIskander.html
NuriCelik.html
http___dx.doi.org_10.1109_TAP.2014.2357416 http://dx.doi.org/10.1109/TAP.2014.2357416
Rayno:2015:USNC/URSI Hybrid genetic programming with accelerating optimizer for 3D metamaterial design
JenniferTaylorRayno.html
MagdyFIskander.html
http___dx.doi.org_10.1109_APS.2015.7305056 http://dx.doi.org/10.1109/APS.2015.7305056
Rayno:2016:ieeeAWPL Hybrid Genetic Programming with Accelerating Genetic Algorithm Optimizer for 3D Metamaterial Design
JenniferTaylorRayno.html
MagdyFIskander.html
Marcelokobayashi.html
http___dx.doi.org_10.1109_LAWP.2016.2531721 http://dx.doi.org/10.1109/LAWP.2016.2531721
Rayno:2016:ACES Novel 3D loops and coils utilizing Fourier series for low frequency AMC ground planes
JenniferTaylorRayno.html
MagdyFIskander.html
http___dx.doi.org_10.1109_ROPACES.2016.7465349 http://dx.doi.org/10.1109/ROPACES.2016.7465349
Rayno:thesis Development and Application of Genetic Programming in the Design and Optimization of Ultra-Wideband 3D Metamaterials
JenniferTaylorRayno.html
https___search.proquest.com_docview_1846950904_pq-origsite_gscholar https://search.proquest.com/docview/1846950904?pq-origsite=gscholar
http___hdl.handle.net_10125_51406 http://hdl.handle.net/10125/51406
https___scholarspace.manoa.hawaii.edu_handle_10125_51406 https://scholarspace.manoa.hawaii.edu/handle/10125/51406
RAZAVI:2019:EB Occupancy detection of residential buildings using smart meter data: A large-scale study
RouzbehRazavi.html
AminGharipour.html
MartinFleury.html
IkpeJusticeAkpan.html
http___www.sciencedirect.com_science_article_pii_S0378778818316724 http://www.sciencedirect.com/science/article/pii/S0378778818316724
http___dx.doi.org_10.1016_j.enbuild.2018.11.025 http://dx.doi.org/10.1016/j.enbuild.2018.11.025
RAZAVI:2019:AE A practical feature-engineering framework for electricity theft detection in smart grids
RouzbehRazavi.html
AminGharipour.html
MartinFleury.html
IkpeJusticeAkpan.html
http___dx.doi.org_10.1016_j.apenergy.2019.01.076 http://dx.doi.org/10.1016/j.apenergy.2019.01.076
http___www.sciencedirect.com_science_article_pii_S0306261919300753 http://www.sciencedirect.com/science/article/pii/S0306261919300753
Razavi:2012:ICSI An Automatic Learning System to Derive Multipole and Local Expansions for the Fast Multipole Method
SeyedNaserRazavi.html
NicolasGaud.html
AbderrafiaaKoukam.html
NasserMozayani.html
http___dx.doi.org_10.1007_978-3-642-31020-1_1 http://dx.doi.org/10.1007/978-3-642-31020-1_1
Razavi:2012:AIc A genetic programming based learning system to derive multipole and local expansions for the fast multipole method
SeyedNaserRazavi.html
NicolasGaud.html
AbderrafiaaKoukam.html
NasserMozayani.html
http___dx.doi.org_10.3233_AIC-2012-0538 http://dx.doi.org/10.3233/AIC-2012-0538
RAZZAK:2018:CERD A Multigene Genetic Programming approach for modeling effect of particle size in a liquid-solid circulating fluidized bed reactor
ShaikhARazzak.html
ShafiullahAHossain.html
SyedMRahman.html
MMozaharHossain.html
JesseZhu_JingxuZhu_.html
http___dx.doi.org_10.1016_j.cherd.2018.04.021 http://dx.doi.org/10.1016/j.cherd.2018.04.021
http___www.sciencedirect.com_science_article_pii_S0263876218301953 http://www.sciencedirect.com/science/article/pii/S0263876218301953
RAZZAK:2020:Particuology Scale-up effect analysis and modeling of liquid-solid circulating fluidized bed risers using multigene genetic programming
ShaikhARazzak.html
SaddamAAl-Hammadi.html
SyedMRahman.html
MohammadRQuddus.html
MMozaharHossain.html
JesseZhu_JingxuZhu_.html
http___dx.doi.org_10.1016_j.partic.2019.12.003 http://dx.doi.org/10.1016/j.partic.2019.12.003
http___www.sciencedirect.com_science_article_pii_S1674200120300018 http://www.sciencedirect.com/science/article/pii/S1674200120300018
DBLP:conf/ijcci/ReVC19 Universal Learning Machine with Genetic Programming
AlessandroRe.html
LeonardoVanneschi.html
MauroCastelli.html
https___research.unl.pt_ws_portalfiles_portal_15379541_Universal_Learning_Machine_Genetic_Programming.pdf https://research.unl.pt/ws/portalfiles/portal/15379541/Universal_Learning_Machine_Genetic_Programming.pdf
https___doi.org_10.5220_0007808101150122 https://doi.org/10.5220/0007808101150122
http___dx.doi.org_10.5220_0007808101150122 http://dx.doi.org/10.5220/0007808101150122
https___dblp.org_rec_conf_ijcci_ReVC19.bib https://dblp.org/rec/conf/ijcci/ReVC19.bib
Re:thesis Universal Genetic Programming: a Meta Learning Approach based on Semantics
AlessandroRe.html
http___hdl.handle.net_10362_79664 http://hdl.handle.net/10362/79664
https___run.unl.pt_bitstream_10362_79664_1_D0052.pdf https://run.unl.pt/bitstream/10362/79664/1/D0052.pdf
real2019regularized Regularized Evolution for Image Classifier Architecture Search
EstebanReal.html
AlokAggarwal.html
YanpingHuang.html
QuocVLe.html
https___ojs.aaai.org_index.php_AAAI_article_view_4405 https://ojs.aaai.org/index.php/AAAI/article/view/4405
https___ojs.aaai.org_index.php_AAAI_article_download_4405_4283.pdf https://ojs.aaai.org/index.php/AAAI/article/download/4405/4283.pdf
http___dx.doi.org_10.1609_aaai.v33i01.33014780 http://dx.doi.org/10.1609/aaai.v33i01.33014780
https___colab.research.google.com_github_google-research_google-research_blob_master_evolution_regularizedevolutionalgorithm_regularizedevolution.ipynb https://colab.research.google.com/github/google-research/google-research/blob/master/evolution/regularizedevolutionalgorithm/regularizedevolution.ipynb
https___tfhub.dev_google_imagenet_amoebanetan18f448_classification_1 https://tfhub.dev/google/imagenet/amoebanetan18f448/classification/1
real2020automlzero AutoML-Zero: Evolving Machine Learning Algorithms From Scratch
EstebanReal.html
ChenLiang.html
DavidSo.html
QuocVLe.html
https___arxiv.org_abs_2003.03384 https://arxiv.org/abs/2003.03384
https___ai.googleblog.com_2020_07_automl-zero-evolving-code-that-learns.html https://ai.googleblog.com/2020/07/automl-zero-evolving-code-that-learns.html
pmlr-v119-real20a AutoML-Zero: Evolving Machine Learning Algorithms From Scratch
EstebanReal.html
ChenLiang.html
DavidSo.html
QuocVLe.html
http___www.human-competitive.org_sites_default_files_automl_zero_humies_competition_entry.txt http://www.human-competitive.org/sites/default/files/automl_zero_humies_competition_entry.txt
http___www.human-competitive.org_sites_default_files_automl_zero_humies_competition_paper.pdf http://www.human-competitive.org/sites/default/files/automl_zero_humies_competition_paper.pdf
http___proceedings.mlr.press_v119_real20a_real20a.pdf http://proceedings.mlr.press/v119/real20a/real20a.pdf
http___proceedings.mlr.press_v119_real20a_real20a-supp.pdf http://proceedings.mlr.press/v119/real20a/real20a-supp.pdf
http___proceedings.mlr.press_v119_real20a.html http://proceedings.mlr.press/v119/real20a.html
http___proceedings.mlr.press_v119_ http://proceedings.mlr.press/v119/
http___www.human-competitive.org_sites_default_files_estebanreal.humies_video_automl_zero.mp4 http://www.human-competitive.org/sites/default/files/estebanreal.humies_video_automl_zero.mp4
https___github.com_google-research_google-research_tree_master_automl_zero https://github.com/google-research/google-research/tree/master/automl_zero
recknagelGP1 Comparative Application of Artificial Neural Networks and Genetic Algorithms for Multivariate Time Series Modelling of Algal Blooms in Freshwater Lakes
FriedrichRecknagel.html
JasonBobbin.html
PeterAlexanderWhigham.html
HughWilson.html
http___jh.iwaponline.com_content_4_2_125 http://jh.iwaponline.com/content/4/2/125
http___www.iwaponline.com_jh_004_0125_0040125.pdf http://www.iwaponline.com/jh/004/0125/0040125.pdf
http___dx.doi.org_10.2166_hydro.2002.0013 http://dx.doi.org/10.2166/hydro.2002.0013
Recknagel:2006:EI Unravelling and forecasting algal population dynamics in two lakes different in morphometry and eutrophication by neural and evolutionary computation
FriedrichRecknagel.html
Hong-QingCao.html
BomchulKim.html
NorikoTakamura.html
AmberWelk.html
http___dx.doi.org_10.1016_j.ecoinf.2006.02.004 http://dx.doi.org/10.1016/j.ecoinf.2006.02.004
Reddin:evows09 Elevated Pitch: Automated Grammatical Evolution of Short Compositions
JohnReddin.html
JamesMcDermott.html
MichaelO'Neill.html
http___dx.doi.org_10.1007_978-3-642-01129-0_65 http://dx.doi.org/10.1007/978-3-642-01129-0_65
ReformatCM03 Experiments in Automatic Programming for General Purposes
MarekReformat.html
XinweiChai.html
JamesMiller.html
http___dx.doi.org_10.1109_TAI.2003.1250213 http://dx.doi.org/10.1109/TAI.2003.1250213
oai:drum.umd.edu:1903/3957 Development of a Large-Scale Integrated Neurocognitive Architecture - Part 2: Design and Architecture
JamesAReggia.html
MTagamets.html
JoseLuisContreras-Vidal.html
DavidWJacobs.html
ScottWeems.html
WaseemNaqvi.html
RansomWinder.html
TimurChabuk.html
JinHyukJung.html
ChangjiangYang.html
https___drum.umd.edu_dspace_bitstream_1903_3957_1_MarylandPart2.pdf https://drum.umd.edu/dspace/bitstream/1903/3957/1/MarylandPart2.pdf
http___hdl.handle.net_1903_3957 http://hdl.handle.net/1903/3957
ASTC_2004_KodakMachLearnComparision High Fidelity Approximation of Slow Simulators Using Machine Learning for Real-time Simulation/Optimization
SudipRegmi.html
LarryMDeschaine.html
SharadRRegmi.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_deschaine_ASTC_2004_KodakMachLearnComparision.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/deschaine/ASTC_2004_KodakMachLearnComparision.pdf
eurogp:RegolinP05 Bayesian Automatic Programming
EvandroNunesRegolin.html
AuroraTrinidadRamirezPozo.html
http___dx.doi.org_10.1007_978-3-540-31989-4_4 http://dx.doi.org/10.1007/978-3-540-31989-4_4
http___dx.doi.org_10.1007_b107383 http://dx.doi.org/10.1007/b107383
Rehakova:2018:ieeeSMC Utilization of Genetic Programming to Solve a Simple Task Network Planning Problem
LucieRehakova.html
RomanNeruda.html
http___dx.doi.org_10.1109_SMC.2018.00619 http://dx.doi.org/10.1109/SMC.2018.00619
Rehman:2011:FIT Polymorphic Circuit Design for Speedy Handwritten Character Recognition Using Cartesian Genetic Programming
AbdulRehman.html
GulMuhammadKhan.html
http___dx.doi.org_10.1109_FIT.2011.22 http://dx.doi.org/10.1109/FIT.2011.22
Rehman:2014:IERI_FIE Foreign Currency Exchange Rates Prediction Using CGP and Recurrent Neural Network
MehreenRehman.html
GulMuhammadKhan.html
SahibzadaAliMahmud.html
http___dx.doi.org_10.1016_j.ieri.2014.09.083 http://dx.doi.org/10.1016/j.ieri.2014.09.083
http___www.sciencedirect.com_science_article_pii_S2212667814001312 http://www.sciencedirect.com/science/article/pii/S2212667814001312
Reichensdeorfer:2017:EuroGP Grammatical Evolution of Robust Controller Structures using Wilson Scoring and Criticality Ranking
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DirkOdenthal.html
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http___dx.doi.org_10.1007_978-3-319-55696-3_13 http://dx.doi.org/10.1007/978-3-319-55696-3_13
Reichensdoerfer:2018:ICINCO Nonlinear Control Structure Design using Grammatical Evolution and Lyapunov Equation based Optimization
EliasReichensdoerfer.html
DirkOdenthal.html
DirkWollherr.html
http___www.scitepress.org_DigitalLibrary_Link.aspx_doi_10.5220_0006839400650075 http://www.scitepress.org/DigitalLibrary/Link.aspx?doi=10.5220/0006839400650075
http___dx.doi.org_10.5220_0006839400650075 http://dx.doi.org/10.5220/0006839400650075
reichensdeorfer:thesis Traction Control via Input-Output Linearization and Stability Analysis using Parametric Lyapunov Functions
EliasReichensdeorfer.html
https___www.ce.cit.tum.de_en_lsr_news_article_doktortitel-mit-auszeichnung-fuer-herrn-elias-reichensdoerfer_ https://www.ce.cit.tum.de/en/lsr/news/article/doktortitel-mit-auszeichnung-fuer-herrn-elias-reichensdoerfer/
https___nbn-resolving.de_urn_resolver.pl_urn_nbn_de_bvb_91-diss-20220523-1618422-1-8 https://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:91-diss-20220523-1618422-1-8
https___mediatum.ub.tum.de_doc_1618422_1618422.pdf https://mediatum.ub.tum.de/doc/1618422/1618422.pdf
Reid:2020:GI9 Optimising the Fit of Stack Overflow Code Snippets into Existing Code
BrittanyReid.html
ChristophTreude.html
MarkusWagner.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_gecco2020_companion_files_wksp119s2-file1.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/gecco2020/companion_files/wksp119s2-file1.pdf
https___arxiv.org_abs_2004.07663 https://arxiv.org/abs/2004.07663
http___dx.doi.org_10.1145_3377929.3398087 http://dx.doi.org/10.1145/3377929.3398087
https___github.com_Brittany-Reid_nlp2testablecode https://github.com/Brittany-Reid/nlp2testablecode
Reid:2011:GECCO Analysing structure in complex networks using quality functions evolved by genetic programming
FergalReid.html
NeilHurley.html
http___dx.doi.org_10.1145_2001576.2001616 http://dx.doi.org/10.1145/2001576.2001616
reif:2003:gecco Complex Function Sets Improve Symbolic Discriminant Analysis of Microarray Data
DavidMReif.html
BillCWhite.html
NancyJOlsen.html
ThomasMAune.html
JasonHMoore.html
http___dx.doi.org_10.1007_3-540-45110-2_121 http://dx.doi.org/10.1007/3-540-45110-2_121
reif:2004:ERP Integrated analysis of genetic, genomic, and proteomic data
DavidMReif.html
BillCWhite.html
JasonHMoore.html
http___www.future-drugs.com_doi_abs_10.1586_14789450.1.1.67 http://www.future-drugs.com/doi/abs/10.1586/14789450.1.1.67
http___dx.doi.org_10.1586_14789450.1.1.67 http://dx.doi.org/10.1586/14789450.1.1.67
REIKARD:2017:REF 7 - Wave energy forecasting
GordonReikard.html
http___dx.doi.org_10.1016_B978-0-08-100504-0.00007-X http://dx.doi.org/10.1016/B978-0-08-100504-0.00007-X
http___www.sciencedirect.com_science_article_pii_B978008100504000007X http://www.sciencedirect.com/science/article/pii/B978008100504000007X
reinhold:2003:spnbagpaes Synthesizing passive networks by applying genetic programming and evolution strategies
ChristianReinhold.html
PeterKralicek.html
JurgenTeich.html
http___dx.doi.org_10.1109_CEC.2003.1299883 http://dx.doi.org/10.1109/CEC.2003.1299883
Reis:2008:NSC Evolutionary Perspectives in Computer Music
CeciliaMariaDoRioFernandesMoreiraReis.html
ViriatoMMarques.html
JoseTenreiroMachado.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.466.2277 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.466.2277
http___gecad.isep.ipp.pt_GECAD_Files_Publications_Publications_P_1113_NSC_2008_CMR.pdf http://gecad.isep.ipp.pt/GECAD/Files/Publications/Publications/P_1113/NSC_2008_CMR.pdf
Reis:NSC08 Music and Evolutionary Computation
CeciliaMariaDoRioFernandesMoreiraReis.html
ViriatoMMarques.html
JoseTenreiroMachado.html
http___dx.doi.org_10.1007_978-90-481-9884-9_38 http://dx.doi.org/10.1007/978-90-481-9884-9_38
Reiser:1997:evil1 EVIL1: a Learning System to Evolve Logical Theories
PhilipGKReiser.html
reiser:1997: An Evolutionary Learning System for Knowledge Discovery
PhilipGKReiser.html
reiser:1998:Hermes Computational Models of Evolutionary Learning
PhilipGKReiser.html
http___www.stancomb.co.uk__prr_Papers_aidri.ps http://www.stancomb.co.uk/~prr/Papers/aidri.ps
http___www.stancomb.co.uk__prr_Papers_aidri.pdf http://www.stancomb.co.uk/~prr/Papers/aidri.pdf
reiser:1998:toolbox Evolutionary Computation and the Tinkerer's Evolving Toolbox
PhilipGKReiser.html
http___www.stancomb.co.uk__prr_Papers_eurogp.ps http://www.stancomb.co.uk/~prr/Papers/eurogp.ps
http___www.stancomb.co.uk__prr_Papers_eurogp.pdf http://www.stancomb.co.uk/~prr/Papers/eurogp.pdf
http___dx.doi.org_10.1007_BFb0055940 http://dx.doi.org/10.1007/BFb0055940
reiser:1998:elpccegp Evolving Logic Programs to Classify Chess-Endgame Positions
PhilipGKReiser.html
PatriciaJeanRiddle.html
http___www.stancomb.co.uk__prr_Papers_seal98.ps http://www.stancomb.co.uk/~prr/Papers/seal98.ps
http___www.stancomb.co.uk__prr_Papers_seal98.pdf http://www.stancomb.co.uk/~prr/Papers/seal98.pdf
http___dx.doi.org_10.1007_3-540-48873-1_19 http://dx.doi.org/10.1007/3-540-48873-1_19
reiser:1999:ELPPT Evolution of Logic Programs: Part-of-Speech Tagging
PhilipGKReiser.html
PatriciaJeanRiddle.html
http___www.stancomb.co.uk__prr_Papers_cec99.pdf http://www.stancomb.co.uk/~prr/Papers/cec99.pdf
http___www.stancomb.co.uk__prr_Papers_cec99.ps http://www.stancomb.co.uk/~prr/Papers/cec99.ps
http___dx.doi.org_10.1109_CEC.1999.782604 http://dx.doi.org/10.1109/CEC.1999.782604
reiser:thesis Evolutionary Algorithms for Learning Formulae in first-order Logic
PhilipGKReiser.html
http___www.stancomb.co.uk__prr_Papers_thesis.ps http://www.stancomb.co.uk/~prr/Papers/thesis.ps
http___www.stancomb.co.uk__prr_Papers_thesis.pdf http://www.stancomb.co.uk/~prr/Papers/thesis.pdf
Reiser:2001:AI Scaling Up Inductive Logic Programming: An Evolutionary Wrapper Approach
PhilipGKReiser.html
PatriciaJeanRiddle.html
http___www.stancomb.co.uk__prr_Papers_AppInt.pdf http://www.stancomb.co.uk/~prr/Papers/AppInt.pdf
http___www.stancomb.co.uk__prr_Papers_AppInt.ps http://www.stancomb.co.uk/~prr/Papers/AppInt.ps
https___rdcu.be_cAIts https://rdcu.be/cAIts
http___dx.doi.org_10.1023_A_1011239013893 http://dx.doi.org/10.1023/A:1011239013893
reiser:2002:robotTR The Robot Scientist Platform
PhilipGKReiser.html
RossDKing.html
http___www.stancomb.co.uk__prr_Papers_platform.ps http://www.stancomb.co.uk/~prr/Papers/platform.ps
http___www.stancomb.co.uk__prr_Papers_platform.pdf http://www.stancomb.co.uk/~prr/Papers/platform.pdf
journals/jcphy/ReissmannHSK21 Application of Gene Expression Programming to a-posteriori LES modeling of a Taylor Green Vortex
MaximilianReissmann.html
JosefHasslberger.html
RichardDSandberg.html
MarkusKlein.html
https___www.sciencedirect.com_science_article_pii_S0021999120306331 https://www.sciencedirect.com/science/article/pii/S0021999120306331
http___dx.doi.org_10.1016_j.jcp.2020.109859 http://dx.doi.org/10.1016/j.jcp.2020.109859
reiter:2023:GECCOcomp Pretraining Reduces Runtime in Denoising Autoencoder Genetic Programming by an Order of Magnitude
JohannesReiter.html
DirkSchweim.html
DavidWittenberg.html
http___dx.doi.org_10.1145_3583133.3596332 http://dx.doi.org/10.1145/3583133.3596332
Ren:2013:CCC Nonlinear bi-directional prediction model of speech signals based on genetic programming
ZhepoRen.html
ZhijianLi.html
XiaojunWu.html
XiaoboOu.html
http___ieeexplore.ieee.org_xpl_articleDetails.jsp_tp__arnumber_6640844 http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6640844
Ren:2014:ieeeCybernetics New Insights Into Diversification of Hyper-Heuristics
ZhileiRen.html
HeJiang.html
JifengXuan.html
YanHu.html
ZhongxuanLuo.html
http___dx.doi.org_10.1109_TCYB.2013.2294185 http://dx.doi.org/10.1109/TCYB.2013.2294185
thesis_Gijs_Rennen Efficient approximation of black-box functions and Pareto sets
GijsRennen.html
https___pure.uvt.nl_portal_files_1157123_thesis_Gijs_Rennen.pdf https://pure.uvt.nl/portal/files/1157123/thesis_Gijs_Rennen.pdf
Renzullo:2018:GI Neutrality and Epistasis in Program Space
JosephRenzullo.html
WestleyWeimer.html
MelanieMoses.html
StephanieForrest.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_icse2018_gi2018_papers_Renzullo_2018_GI.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/icse2018/gi2018/papers/Renzullo_2018_GI.pdf
http___dx.doi.org_10.1145_3194810.3194812 http://dx.doi.org/10.1145/3194810.3194812
Renzullo:TELO Evolving Software: Combining Online Learning with Mutation-Based Stochastic Search
JosephRenzullo.html
WestleyWeimer.html
StephanieForrest.html
http___dx.doi.org_10.1145_3597617 http://dx.doi.org/10.1145/3597617
Reshamwala:2010:IJCA Incremental Cluster Detection using a Soft Computing Approach
AlpaReshamwala.html
VijayKatkar.html
MamtaUbnare.html
http___www.ijcaonline.org_volume11_number8_pxc3872155.pdf http://www.ijcaonline.org/volume11/number8/pxc3872155.pdf
Reuter:2022:EuroGP Genetic Programming-Based Inverse Kinematics for Robotic Manipulators
JuliaReuter.html
ChristophSteup.html
SanazMostaghim.html
http___dx.doi.org_10.1007_978-3-031-02056-8_9 http://dx.doi.org/10.1007/978-3-031-02056-8_9
Reuter:2022:CEC Towards Improving Simulations of Flows around Spherical Particles Using Genetic Programming
JuliaReuter.html
ManojCendrollu.html
FabienEvrard.html
SanazMostaghim.html
BerendvanWachem.html
https___human-competitive.org_sites_default_files_reuter.txt https://human-competitive.org/sites/default/files/reuter.txt
https___human-competitive.org_sites_default_files_paper1.pdf https://human-competitive.org/sites/default/files/paper1.pdf
http___dx.doi.org_10.1109_CEC55065.2022.9870301 http://dx.doi.org/10.1109/CEC55065.2022.9870301
Reuter:2023:EuroGP Graph Networks as Inductive Bias for Genetic Programming: Symbolic Models for Particle-Laden Flows
JuliaReuter.html
HaniElmestikawy.html
FabienEvrard.html
SanazMostaghim.html
BerendvanWachem.html
https___human-competitive.org_sites_default_files_reuter.txt https://human-competitive.org/sites/default/files/reuter.txt
https___human-competitive.org_sites_default_files_paper2.pdf https://human-competitive.org/sites/default/files/paper2.pdf
https___rdcu.be_c8UOK https://rdcu.be/c8UOK
http___dx.doi.org_10.1007_978-3-031-29573-7_3 http://dx.doi.org/10.1007/978-3-031-29573-7_3
Reuter:2023:SSCI Multi-Objective Island Model Genetic Programming for Predicting the Stokes Flow around a Sphere
JuliaReuter.html
PravinPandey.html
SanazMostaghim.html
http___dx.doi.org_10.1109_SSCI52147.2023.10371955 http://dx.doi.org/10.1109/SSCI52147.2023.10371955
Revathy:2014:ICICES An evolutional approach for record deduplication and improving accuracy level in large repositories
ARevathy.html
RSuresh.html
http___dx.doi.org_10.1109_ICICES.2014.7033864 http://dx.doi.org/10.1109/ICICES.2014.7033864
Reyes-Pupo:2018:LOPAL A gene expression programming method for multi-target regression
OscarGabrielReyesPupo.html
JoseMariaMoyanoMurillo.html
JoseMariaLuna.html
SebastianVentura.html
http___dx.doi.org_10.1145_3230905.3230910 http://dx.doi.org/10.1145/3230905.3230910
conf/emo/ReynoldsI06 Rule Induction for Classification Using Multi-objective Genetic Programming
AlanPaulReynolds.html
BeatrizDeLaIglesia.html
http___dx.doi.org_10.1007_978-3-540-70928-2_40 http://dx.doi.org/10.1007/978-3-540-70928-2_40
alife3:reynolds An Evolved, Vision-Based Behavioral Model of Obstacle Avoidance Behaviour
CraigWReynolds.html
http___www.red3d.com_cwr_papers_1993_alife3.pdf http://www.red3d.com/cwr/papers/1993/alife3.pdf
http___citeseer.ist.psu.edu_550869.html http://citeseer.ist.psu.edu/550869.html
https___www.amazon.co.uk_s_k_9780201624922 https://www.amazon.co.uk/s?k=9780201624922
kinnear:reynolds Evolution of Obstacle Avoidance Behaviour: Using Noise to Promote Robust Solutions
CraigWReynolds.html
http___www.amazon.co.uk_Advances-Genetic-Programming-Complex-Adaptive_dp_0262111888 http://www.amazon.co.uk/Advances-Genetic-Programming-Complex-Adaptive/dp/0262111888
http___cognet.mit.edu_sites_default_files_books_9780262277181_pdfs_9780262277181_chap10.pdf http://cognet.mit.edu/sites/default/files/books/9780262277181/pdfs/9780262277181_chap10.pdf
http___dx.doi.org_10.7551_mitpress_1108.003.0015 http://dx.doi.org/10.7551/mitpress/1108.003.0015
sab92:reynolds An Evolved, Vision-Based Behavioral Model of Coordinated Group Motion
CraigWReynolds.html
http___www.red3d.com_cwr_papers_1993_sab92.pdf http://www.red3d.com/cwr/papers/1993/sab92.pdf
Reynolds:1994:eye The difficulty of roving eyes
CraigWReynolds.html
http___dx.doi.org_10.1109_ICEC.1994.350005 http://dx.doi.org/10.1109/ICEC.1994.350005
Reynolds:1994:tag Competition, Coevolution and the Game of Tag
CraigWReynolds.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_ftp.io.com_papers_cwrALifeIV.ps.Z http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/ftp.io.com/papers/cwrALifeIV.ps.Z
Reynolds:1994:sab Evolution of Corridor Following Behavior in a Noisy World
CraigWReynolds.html
http___www.red3d.com_cwr_papers_1994_sab94.pdf http://www.red3d.com/cwr/papers/1994/sab94.pdf
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_ftp.io.com_papers_cwrSAB94.ps.Z http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/ftp.io.com/papers/cwrSAB94.ps.Z
http___citeseer.ist.psu.edu_435959.html http://citeseer.ist.psu.edu/435959.html
https___dl.acm.org_doi_10.5555_189829.189956 https://dl.acm.org/doi/10.5555/189829.189956
Reynolds:2010:SIGGRAPH Using Interactive Evolution to Discover Camouflage Patterns
CraigWReynolds.html
http___doi.acm.org_10.1145_1836845.1836966 http://doi.acm.org/10.1145/1836845.1836966
http___dx.doi.org_10.1145_1836845.1836966 http://dx.doi.org/10.1145/1836845.1836966
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.369.3703 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.369.3703
http___www.red3d.com_cwr_iec_2010_Reynolds_IEC_SIGGRAPH_poster_1page.pdf http://www.red3d.com/cwr/iec/2010_Reynolds_IEC_SIGGRAPH_poster_1page.pdf
Reynolds:2011:ALife Interactive Evolution of Camouflage
CraigWReynolds.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.369.2873 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.369.2873
http___www.red3d.com_cwr_iec_2011ReynoldsALifeJournal.pdf http://www.red3d.com/cwr/iec/2011ReynoldsALifeJournal.pdf
https___www.youtube.com_watch_v_GVykCJZFp1U https://www.youtube.com/watch?v=GVykCJZFp1U
http___dx.doi.org_10.1162_artl_a_00023 http://dx.doi.org/10.1162/artl_a_00023
Reynolds:IJART:2016 Evolving textures from high level descriptions
CraigWReynolds.html
http___www.inderscience.com_link.php_id_75407 http://www.inderscience.com/link.php?id=75407
http___dx.doi.org_10.1504_IJART.2016.075407 http://dx.doi.org/10.1504/IJART.2016.075407
Reynolds:2023:ALife Coevolution of Camouflage
CraigWReynolds.html
https___arxiv.org_abs_2304.11793 https://arxiv.org/abs/2304.11793
https___doi.org_10.1162_isal_a_00583 https://doi.org/10.1162/isal_a_00583
reynolds:1994:ica An introduction to cultural algorithms
RobertGReynolds.html
http___ai.cs.wayne.edu_ai_availablePapersOnLine_IntroToCA.pdf http://ai.cs.wayne.edu/ai/availablePapersOnLine/IntroToCA.pdf
https___www.amazon.co.uk_Evolutionary-Programming-Proceedings-Annual-Conference_dp_9810218109_ https://www.amazon.co.uk/Evolutionary-Programming-Proceedings-Annual-Conference/dp/9810218109/
http___dx.doi.org_10.1142_9789814534116 http://dx.doi.org/10.1142/9789814534116
Reynolds:2007:GPTP Using GP and Cultural Algorithms to Simulate the Evolution of an Ancient Urban Center
RobertGReynolds.html
MostafaZAli.html
PatrickFranzel.html
http___dx.doi.org_10.1007_978-0-387-76308-8_15 http://dx.doi.org/10.1007/978-0-387-76308-8_15
Rezaee:2013:GPEM Multi-objective optimization of QCA circuits with multiple outputs using genetic programming
RaziehRezaee.html
MahboobehHoushmand.html
MonirehHoushmand.html
http___dx.doi.org_10.1007_s10710-012-9173-6 http://dx.doi.org/10.1007/s10710-012-9173-6
REZAEI:2022:istruc Seismic fragility analysis of RC box-girder bridges based on symbolic regression method
HosseinRezaei.html
PanamZarfam.html
EmadaldinMohammadiGolafshani.html
GholamrezaGhodratiAmiri.html
http___dx.doi.org_10.1016_j.istruc.2021.12.058 http://dx.doi.org/10.1016/j.istruc.2021.12.058
https___www.sciencedirect.com_science_article_pii_S2352012421011760 https://www.sciencedirect.com/science/article/pii/S2352012421011760
Rezania:2007:CGTJ A new genetic programming model for predicting settlement of shallow foundations
MohammadRezania.html
AkbarAJavadia.html
http___dx.doi.org_10.1139_T07-063 http://dx.doi.org/10.1139/T07-063
Rezania:2008:EC An evolutionary-based data mining technique for assessment of civil engineering systems
MohammadRezania.html
AkbarAJavadi.html
OrazioGiustolisi.html
http___dx.doi.org_10.1108_02644400810891526 http://dx.doi.org/10.1108/02644400810891526
FULL_THESIS_MRezania2008 Evolutionary Polynomial Regression Based Constitutive Modelling and Incorporation in Finite Element Analysis
MohammadRezania.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_FULL_THESIS_MRezania2008.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/FULL_THESIS_MRezania2008.pdf
Rezania:2010:CG Evaluation of liquefaction potential based on CPT results using evolutionary polynomial regression
MohammadRezania.html
AkbarAJavadi.html
OrazioGiustolisi.html
http___www.sciencedirect.com_science_article_pii_S0266352X09001311 http://www.sciencedirect.com/science/article/pii/S0266352X09001311
http___dx.doi.org_10.1016_j.compgeo.2009.07.006 http://dx.doi.org/10.1016/j.compgeo.2009.07.006
Rezania:2011:EAAI An evolutionary based approach for assessment of earthquake-induced soil liquefaction and lateral displacement
MohammadRezania.html
AsaadFaramarzi.html
AkbarAJavadi.html
http___www.sciencedirect.com_science_article_pii_S0952197610001764 http://www.sciencedirect.com/science/article/pii/S0952197610001764
http___dx.doi.org_10.1016_j.engappai.2010.09.010 http://dx.doi.org/10.1016/j.engappai.2010.09.010
rhee:2000:ESMGGP Evolving Strategies for the Minesweeper Game using Genetic Programming
StephenJRhee.html
rhodes:1994:resistance The Evolution of Resistance to Crossover and Mutation in GP
BradleyRhodes.html
riahi-madvar:2019:WRM Pareto Optimal Multigene Genetic Programming for Prediction of Longitudinal Dispersion Coefficient
HossienRiahi-Madvar.html
MajidDehghani.html
AkramSeifi.html
VijayPSingh.html
http___link.springer.com_article_10.1007_s11269-018-2139-6 http://link.springer.com/article/10.1007/s11269-018-2139-6
http___dx.doi.org_10.1007_s11269-018-2139-6 http://dx.doi.org/10.1007/s11269-018-2139-6
RIAHIMADVAR:2021:GF A predictive equation for residual strength using a hybrid of subset selection of maximum dissimilarity method with Pareto optimal multi-gene genetic programming
HossienRiahi-Madvar.html
MahsaGholami.html
BahramGharabaghi.html
SeyedMortezaSeyedian.html
http___dx.doi.org_10.1016_j.gsf.2021.101222 http://dx.doi.org/10.1016/j.gsf.2021.101222
https___www.sciencedirect.com_science_article_pii_S1674987121000864 https://www.sciencedirect.com/science/article/pii/S1674987121000864
RIAHIMADVAR:2023:HH Chapter 13 - Gene expression models
HossienRiahi-Madvar.html
MahsaGholami.html
SaeidEslamian.html
http___dx.doi.org_10.1016_B978-0-12-821285-1.00011-7 http://dx.doi.org/10.1016/B978-0-12-821285-1.00011-7
https___www.sciencedirect.com_science_article_pii_B9780128212851000117 https://www.sciencedirect.com/science/article/pii/B9780128212851000117
ribaric:2017:CEC Genetic programming for improved cryptanalysis of elliptic curve cryptosystems
TimRibaric.html
SheridanHoughten.html
http___dx.doi.org_10.1109_CEC.2017.7969342 http://dx.doi.org/10.1109/CEC.2017.7969342
Ribeiro:2010:cec Handling incomplete information in an evolutionary environment
JorgeManuelFerreiraBarbosaRibeiro.html
JoseManuelFerreiraMachado.html
AntonioCarlosdaSilvaAbelha.html
ManuelFernandez-Delgado.html
JoseCarlosFerreiraMaiaNeves.html
http___dx.doi.org_10.1109_CEC.2010.5586079 http://dx.doi.org/10.1109/CEC.2010.5586079
Ribeiro:2015:hbgpa eCrash: a Genetic Programming-Based Testing Tool for Object-Oriented Software
JoseCarlosBregieiroRibeiro.html
AnaFilipaDelgadoNogueira.html
FranciscoFernandezdeVega.html
MarioAlbertoZenha-Rela.html
http___dx.doi.org_10.1007_978-3-319-20883-1_23 http://dx.doi.org/10.1007/978-3-319-20883-1_23
Ribeiro:2015:LA-CCI Multi-class classification of objects in images using principal component analysis and genetic programming
ManassesRibeiro.html
HeitorSilverioLopes.html
http___dx.doi.org_10.1109_LA-CCI.2015.7435982 http://dx.doi.org/10.1109/LA-CCI.2015.7435982
Ribeiro:2018:CEC Improving Energy Efficiency of Field-Coupled Nanocomputing Circuits by Evolutionary Synthesis
MarcoARibeiro.html
IagoACarvalho.html
JefersonFChaves.html
GiseleLPappa.html
OmarParanaibaVilelaNeto.html
http___dx.doi.org_10.1109_CEC.2018.8477723 http://dx.doi.org/10.1109/CEC.2018.8477723
Ribeiro:2023:GPTP TPOT2: A New Graph-Based Implementation of the Tree-Based Pipeline Optimization Tool for Automated Machine Learning
PedroRibeiroMendesJunior.html
AnilKumarSaini.html
JayMoran.html
NicholasMatsumoto.html
HyunjunChoi.html
MiguelHernandez.html
JasonHMoore.html
http___dx.doi.org_10.1007_978-981-99-8413-8_1 http://dx.doi.org/10.1007/978-981-99-8413-8_1
conf/ciarp/RibeiroPG15 Kernel Combination Through Genetic Programming for Image Classification
YuriHRibeiro.html
ZeniltonKleberGdoPatrocinioJr.html
SilvioJamilFerzoliGuimaraes.html
http___dx.doi.org_10.1007_978-3-319-25751-8 http://dx.doi.org/10.1007/978-3-319-25751-8
RibeiroFilho:1994:GPE Genetic-Algorithm Programming Environments
JoseLRibeiroFilho.html
PhilipTreleaven.html
CesareAlippi.html
http___dx.doi.org_10.1109_2.294850 http://dx.doi.org/10.1109/2.294850
1274026 A GP neutral function for the artificial ANT problem
EstebanRicalde.html
KatyaRodriguez-Vazquez.html
http___gpbib.cs.ucl.ac.uk_gecco2007_docs_p2565.pdf http://gpbib.cs.ucl.ac.uk/gecco2007/docs/p2565.pdf
http___dx.doi.org_10.1145_1274000.1274026 http://dx.doi.org/10.1145/1274000.1274026
Ricalde:2016:EuroGP A Genetic Programming Approach for the Traffic Signal Control Problem with Epigenetic Modifications
EstebanRicalde.html
WolfgangBanzhaf.html
http___dx.doi.org_10.1007_978-3-319-30668-1_9 http://dx.doi.org/10.1007/978-3-319-30668-1_9
Ricalde:2017:ICMLA Evolving Adaptive Traffic Signal Controllers for a Real Scenario Using Genetic Programming with an Epigenetic Mechanism
EstebanRicalde.html
WolfgangBanzhaf.html
http___dx.doi.org_10.1109_ICMLA.2017.00-41 http://dx.doi.org/10.1109/ICMLA.2017.00-41
DBLP:journals/corr/abs-1903-03854 A Genetic Programming System with an Epigenetic Mechanism for Traffic Signal Control
EstebanRicalde.html
https___dblp.org_rec_journals_corr_abs-1903-03854.bib https://dblp.org/rec/journals/corr/abs-1903-03854.bib
http___arxiv.org_abs_1903.03854 http://arxiv.org/abs/1903.03854
https___research.library.mun.ca_13780_ https://research.library.mun.ca/13780/
https___research.library.mun.ca_13780_1_thesis.pdf https://research.library.mun.ca/13780/1/thesis.pdf
1068296 Evolving cooperative strategies for UAV teams
MarcDRichards.html
LDarrellWhitley.html
JRossBeveridge.html
ToddMytkowicz.html
DuongNguyen.html
DavidRome.html
http___gpbib.cs.ucl.ac.uk_gecco2005_docs_p1721.pdf http://gpbib.cs.ucl.ac.uk/gecco2005/docs/p1721.pdf
http___dx.doi.org_10.1145_1068009.1068296 http://dx.doi.org/10.1145/1068009.1068296
richter:2021:Minerals Introducing Metamodel-Based Global Calibration of Material-Specific Simulation Parameters for Discrete Element Method
ChristianRichter.html
FrankWill.html
https___www.mdpi.com_2075-163X_11_8_848 https://www.mdpi.com/2075-163X/11/8/848
http___dx.doi.org_10.3390_min11080848 http://dx.doi.org/10.3390/min11080848
richter:1998:etssnGPab Effects of Tree Size and State Number on GP-Automata Bidding Strategies
CharlesWRichterJr.html
DanielAshlock.html
GeraldBSheble.html
http___www.dakotarichter.com_papers_GPA_GP98.pdf http://www.dakotarichter.com/papers/GPA_GP98.pdf
http___www.dakotarichter.com_papers_gp98_GP98.html http://www.dakotarichter.com/papers/gp98/GP98.html
Richter:2018:GECCOcomp The automated design of probabilistic selection methods for evolutionary algorithms
SamuelNRichter.html
DanielRTauritz.html
https___scholarsmine.mst.edu_cgi_viewcontent.cgi_article_1576_context_comsci_facwork https://scholarsmine.mst.edu/cgi/viewcontent.cgi?article=1576&context=comsci_facwork
http___dx.doi.org_10.1145_3205651.3208304 http://dx.doi.org/10.1145/3205651.3208304
Richter:2019:GECCOcomp Comparing terminal sets for evolving CMA-ES mean-update selection
SamuelNRichter.html
MichaelGSchoen.html
DanielRTauritz.html
http___dx.doi.org_10.1145_3319619.3321977 http://dx.doi.org/10.1145/3319619.3321977
Richter:2019:GECCOcompa Evolving mean-update selection methods for CMA-ES
SamuelNRichter.html
MichaelGSchoen.html
DanielRTauritz.html
http___dx.doi.org_10.1145_3319619.3326827 http://dx.doi.org/10.1145/3319619.3326827
rida:2022:GI Optimization of Object-Based Image Analysis with Genetic Programming to Generate Explicit Knowledge from WorldView-2 Data for Urban Mapping
AzmiRida.html
AmarHicham.html
NorelyaqineAbderrahim.html
http___link.springer.com_chapter_10.1007_978-3-030-80458-9_12 http://link.springer.com/chapter/10.1007/978-3-030-80458-9_12
http___dx.doi.org_10.1007_978-3-030-80458-9_12 http://dx.doi.org/10.1007/978-3-030-80458-9_12
Riedel:2005:NiSIS Evolving Multilevel Forecast Combination Models - An Experimental Study
SilviaRiedel.html
BogdanGabrys.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.484.8838 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.484.8838
http___www.nisis.risk-technologies.com_msc_papers_A22b_p_RiedelGabrys.pdf http://www.nisis.risk-technologies.com/msc/papers/A22b_p_RiedelGabrys.pdf
http___www.nisis.risk-technologies.com_msc_PortugalProgrammDraft.aspx http://www.nisis.risk-technologies.com/msc/PortugalProgrammDraft.aspx
Riedel:thesis Forecast combination in revenue management demand forecasting
SilviaRiedel.html
http___eprints.bournemouth.ac.uk_9640_ http://eprints.bournemouth.ac.uk/9640/
http___eprints.bournemouth.ac.uk_9640_1_Riedel_2CSilvia_Ph.D._2008.pdf http://eprints.bournemouth.ac.uk/9640/1/Riedel%2CSilvia_Ph.D._2008.pdf
Rieffel2009368 Automated discovery and optimization of large irregular tensegrity structures
JohnRieffel.html
FranciscoValero-Cuevas.html
HodLipson.html
https___cs.union.edu__rieffelj_publication_rieffel-2009-automated_ https://cs.union.edu/~rieffelj/publication/rieffel-2009-automated/
http___dx.doi.org_10.1016_j.compstruc.2008.11.010 http://dx.doi.org/10.1016/j.compstruc.2008.11.010
Rieffel:2010:ICES EvoFab: A Fully Embodied Evolutionary Fabricator
JohnRieffel.html
DavidGSayles.html
http___dx.doi.org_10.1007_978-3-642-15323-5_32 http://dx.doi.org/10.1007/978-3-642-15323-5_32
Rieffel:2011:GPEM Trent McConaghy, P. Palmers, G. Peng, Michiel Steyaert, Georges Gielen: Variation-aware analog structural synthesis: a computational intelligence approach, Springer, 2009, ISBN 978-90-481-2905-8
JohnRieffel.html
http___dx.doi.org_10.1007_s10710-011-9145-2 http://dx.doi.org/10.1007/s10710-011-9145-2
Riekert:2009:cec Adaptive Genetic Programming for Dynamic Classification Problems
MariusRiekert.html
KatherineMMalan.html
AndriesPEngelbrecht.html
http___dx.doi.org_10.1109_CEC.2009.4983010 http://dx.doi.org/10.1109/CEC.2009.4983010
Riley:aspgp03 The Simple Soccer Machine Learning Environment
JeffRiley.html
http___www.rileys.id.au_JeffsPublications_ASPGP03.pdf http://www.rileys.id.au/JeffsPublications/ASPGP03.pdf
Riley:thesis Evolving Fuzzy Rules for Goal-Scoring Behaviour in a Robot Soccer Environment
JeffRiley.html
http___goanna.cs.rmit.edu.au__vc_papers_riley-phd.pdf http://goanna.cs.rmit.edu.au/~vc/papers/riley-phd.pdf
Riley:2010:cec Fitness landscape analysis for evolutionary non-photorealistic rendering
JeffRiley.html
VictorCiesielski.html
http___dx.doi.org_10.1109_CEC.2010.5586013 http://dx.doi.org/10.1109/CEC.2010.5586013
Riley:2016:CEC Improving Job Shop Dispatching Rules via Terminal Weighting and Adaptive Mutation in Genetic Programming
MichaelRiley.html
YiMei.html
MengjieZhang.html
http___dx.doi.org_10.1109_CEC.2016.7744215 http://dx.doi.org/10.1109/CEC.2016.7744215
Rimas:2023:AJCAI Bloating Reduction in Symbolic Regression Through Function Frequency-Based Tree Substitution in Genetic Programming
MohamadRimas.html
QiChen.html
MengjieZhang.html
http___dx.doi.org_10.1007_978-981-99-8391-9_34 http://dx.doi.org/10.1007/978-981-99-8391-9_34
Rimcharoen:2023:CCET Adaptive Evolution Strategy for Symbolic Regression
SunisaRimcharoen.html
NutthanonLeelathakul.html
http___dx.doi.org_10.1109_CCET59170.2023.10335139 http://dx.doi.org/10.1109/CCET59170.2023.10335139
Rinard:2020:ACM Adding More Color to Patch Picture
MartinRinard.html
https___cacm.acm.org_magazines_2020_4_243626-adding-more-color-to-patch-picture_fulltext https://cacm.acm.org/magazines/2020/4/243626-adding-more-color-to-patch-picture/fulltext
http___dx.doi.org_10.1145_3383390 http://dx.doi.org/10.1145/3383390
Rindell_2023 Exploring the optimality of approximate state preparation quantum circuits with a genetic algorithm
TomRindell.html
BeratYenilen.html
NiklasHalonen.html
ArttuPonni.html
IlkkaTittonen.html
MattiRaasakka.html
https___arxiv.org_abs_2210.06411 https://arxiv.org/abs/2210.06411
https___acris.aalto.fi_ws_portalfiles_portal_107926323_Rindell_Exploring_optimality_PhysLetA.pdf https://acris.aalto.fi/ws/portalfiles/portal/107926323/Rindell_Exploring_optimality_PhysLetA.pdf
https___www.sciencedirect.com_science_article_pii_S0375960123002402 https://www.sciencedirect.com/science/article/pii/S0375960123002402
http___dx.doi.org_10.1016_j.physleta.2023.128860 http://dx.doi.org/10.1016/j.physleta.2023.128860
https___github.com_beratyenilen_qc-ga https://github.com/beratyenilen/qc-ga
riolo:1995:adcea Automatic Discovery of Classification and Estimation Algorithms for Earth-Observation Satellite Imagery
RickLRiolo.html
MarkPLine.html
http___www.aaai.org_Papers_Symposia_Fall_1995_FS-95-01_FS95-01-010.pdf http://www.aaai.org/Papers/Symposia/Fall/1995/FS-95-01/FS95-01-010.pdf
http___www.aaai.org_Library_Symposia_Fall_fs95-01.php http://www.aaai.org/Library/Symposia/Fall/fs95-01.php
RioloWorzel:2003 Genetic Programming Theory and Practice
RickLRiolo.html
WilliamPWorzel.html
http___www.springer.com_computer_ai_book_978-1-4020-7581-0 http://www.springer.com/computer/ai/book/978-1-4020-7581-0
http___dx.doi.org_10.1007_978-1-4419-8983-3 http://dx.doi.org/10.1007/978-1-4419-8983-3
Riolo:2006:GPTP Genetic Programming Theory and Practice IV
RickLRiolo.html
TerenceSoule.html
WilliamPWorzel.html
http___www.springer.com_west_home_computer_foundations_SGWID_4-156-22-173660377-0 http://www.springer.com/west/home/computer/foundations?SGWID=4-156-22-173660377-0
http___dx.doi.org_10.1007_978-0-387-49650-4 http://dx.doi.org/10.1007/978-0-387-49650-4
Riolo:2007:GPTP Genetic Programming Theory and Practice V
RickLRiolo.html
TerenceSoule.html
WilliamPWorzel.html
http___dx.doi.org_10.1007_978-0-387-76308-8 http://dx.doi.org/10.1007/978-0-387-76308-8
Riolo:2009:GPTP Genetic Programming Theory and Practice VII
RickLRiolo.html
Una-MayO'Reilly.html
TrentMcConaghy.html
http___dx.doi.org_10.1007_978-1-4419-1626-6 http://dx.doi.org/10.1007/978-1-4419-1626-6
Riolo:2010:GPTP Genetic Programming Theory and Practice VIII
RickLRiolo.html
TrentMcConaghy.html
Ekaterina_Katya_Vladislavleva.html
http___www.springer.com_computer_ai_book_978-1-4419-7746-5 http://www.springer.com/computer/ai/book/978-1-4419-7746-5
http___dx.doi.org_10.1007_978-1-4419-7747-2 http://dx.doi.org/10.1007/978-1-4419-7747-2
Riolo:2011:GPTP Genetic Programming Theory and Practice IX
RickLRiolo.html
Ekaterina_Katya_Vladislavleva.html
JasonHMoore.html
http___www.amazon.co.uk_Genetic-Programming-Practice-Evolutionary-Computation_dp_1461417694_ref_sr_1_1_s_books_ie_UTF8_qid_1344433159_sr_1-1 http://www.amazon.co.uk/Genetic-Programming-Practice-Evolutionary-Computation/dp/1461417694/ref=sr_1_1?s=books&ie=UTF8&qid=1344433159&sr=1-1
http___dx.doi.org_10.1007_978-1-4614-1770-5 http://dx.doi.org/10.1007/978-1-4614-1770-5
Riolo:2012:GPTP Genetic Programming Theory and Practice X
RickLRiolo.html
Ekaterina_Katya_Vladislavleva.html
MarylynDRitchie.html
JasonHMoore.html
http___link.springer.com_book_10.1007_2F978-1-4614-6846-2 http://link.springer.com/book/10.1007%2F978-1-4614-6846-2
http___dx.doi.org_10.1007_978-1-4614-6846-2 http://dx.doi.org/10.1007/978-1-4614-6846-2
Riolo:2013:GPTP Genetic Programming Theory and Practice XI
RickLRiolo.html
JasonHMoore.html
MarkKotanchek.html
http___www.springer.com_computer_ai_book_978-1-4939-0374-0 http://www.springer.com/computer/ai/book/978-1-4939-0374-0
Riolo:2014:GPTP Genetic Programming Theory and Practice XII
RickLRiolo.html
WilliamPWorzel.html
MarkKotanchek.html
http___link.springer.com_book_10.1007_2F978-3-319-16030-6 http://link.springer.com/book/10.1007%2F978-3-319-16030-6
http___dx.doi.org_10.1007_978-3-319-16030-6 http://dx.doi.org/10.1007/978-3-319-16030-6
Riolo:2015:GPTP Genetic Programming Theory and Practice XIII
RickLRiolo.html
WilliamPWorzel.html
MarkKotanchek.html
ArthurKKordon.html
http___www.springer.com_us_book_9783319342214 http://www.springer.com/us/book/9783319342214
http___dx.doi.org_10.1007_978-3-319-34223-8 http://dx.doi.org/10.1007/978-3-319-34223-8
riquelme:2001:IEA Separation Surfaces Through Genetic Programming
JoseCRiquelme.html
RaulGiraldezRojo.html
JesusSAguilar-Ruiz.html
RobertoRuizSanchez.html
http___www.lsi.us.es__7Eriquelme_publicaciones_iea_aie01_pg.zip http://www.lsi.us.es/%7Eriquelme/publicaciones/iea+aie01_pg.zip
http___citeseer.ist.psu.edu_riquelme01separation.html http://citeseer.ist.psu.edu/riquelme01separation.html
http___dx.doi.org_10.1007_3-540-45517-5_47 http://dx.doi.org/10.1007/3-540-45517-5_47
DBLP:conf/gecco/Risco-MartinAGH09 Optimization of dynamic memory managers for embedded systems using grammatical evolution
JoseLRisco-Martin.html
DavidAtienzaAlonso.html
RubenGonzalo.html
JoseIgnacioHidalgoPerez.html
http___dx.doi.org_10.1145_1569901.1570116 http://dx.doi.org/10.1145/1569901.1570116
RiscoMartin2010572 A parallel evolutionary algorithm to optimize dynamic memory managers in embedded systems
JoseLRisco-Martin.html
DavidAtienzaAlonso.html
JManuelColmenar.html
OscarGarnica.html
http___dx.doi.org_10.1016_j.parco.2010.07.001 http://dx.doi.org/10.1016/j.parco.2010.07.001
http___www.sciencedirect.com_science_article_B6V12-50J9GPR-1_2_e049c72f4c9e284bd1c2bdbf7c09f3aa http://www.sciencedirect.com/science/article/B6V12-50J9GPR-1/2/e049c72f4c9e284bd1c2bdbf7c09f3aa
RiscoMartin:2014:JSS A methodology to automatically optimize dynamic memory managers applying grammatical evolution
JoseLRisco-Martin.html
JManuelColmenar.html
JoseIgnacioHidalgoPerez.html
JLanchares.html
JosefaDiazAlvarez.html
http___dx.doi.org_10.1016_j.jss.2013.12.044 http://dx.doi.org/10.1016/j.jss.2013.12.044
http___www.sciencedirect.com_science_article_pii_S016412121400017X http://www.sciencedirect.com/science/article/pii/S016412121400017X
Ritchie:2003:BMCB Optimization of neural network architecture using genetic programming improves detection and modeling of gene-gene interactions in studies of human diseases
MarylynDRitchie.html
BillCWhite.html
JoelSParker.html
LanceWHahn.html
JasonHMoore.html
http___www.biomedcentral.com_1471-2105_4_28 http://www.biomedcentral.com/1471-2105/4/28
http___dx.doi.org_10.1186_1471-2105-4-28 http://dx.doi.org/10.1186/1471-2105-4-28
ritchie+white+parker+hahn+moore:2003:gecco:workshop Optimization of Neural Networks using Genetic Programming to Improve Detection and Modeling of Gene-Gene Interactions in Studies of Human Diseases
MarylynDRitchie.html
BillCWhite.html
JoelSParker.html
LanceWHahn.html
JasonHMoore.html
ritchie:gecco03lbp Optimization of Neural Networks using Genetic Programming Improves Detection and Modeling of Gene-Gene Interactions in Studies of Human Diseases
MarylynDRitchie.html
BillCWhite.html
JoelSParker.html
LanceWHahn.html
JasonHMoore.html
Ritchie:thesis Genetic Programming Optimized Neural Networks for Identifying Gene-gene Interactions
MarylynDRitchie.html
https___books.google.co.uk_books_id_5VjetgAACAAJ https://books.google.co.uk/books?id=5VjetgAACAAJ
http___www.worldcat.org_title_genetic-programming-optimized-neural-networks-for-identifying-gene-gene-interactions_oclc_57177007 http://www.worldcat.org/title/genetic-programming-optimized-neural-networks-for-identifying-gene-gene-interactions/oclc/57177007
http___search.proquest.com_docview_305105222 http://search.proquest.com/docview/305105222
ritchie:gpn:gecco2004 Genetic Programming Neural Networks as a Bioinformatics Tool for Human Genetics
MarylynDRitchie.html
ChristopherSCoffey.html
JasonHMoore.html
http___dx.doi.org_10.1007_b98643 http://dx.doi.org/10.1007/b98643
ritchie:2004:bio:mdrit Model Validation in Biological Applications of Evolutionary Computation
MarylynDRitchie.html
http___gpbib.cs.ucl.ac.uk_gecco2004_WBIO005.pdf http://gpbib.cs.ucl.ac.uk/gecco2004/WBIO005.pdf
Ritchie:2007:ASC Genetic programming neural networks: A powerful bioinformatics tool for human genetics
MarylynDRitchie.html
AlisonAMotsinger.html
WilliamSBush.html
ChristopherSCoffey.html
JasonHMoore.html
http___dx.doi.org_10.1016_j.asoc.2006.01.013 http://dx.doi.org/10.1016/j.asoc.2006.01.013
Ritchie:2012:GPTP Meta-Dimensional Analysis of Phenotypes Using the Analysis Tool for Heritable and Environmental Network Associations (ATHENA): Challenges with Building Large Networks
MarylynDRitchie.html
EmilyRoseHolzinger.html
ScottMDudek.html
AlexTFrase.html
PrabhakarChalise.html
BrookeLFridley.html
http___dx.doi.org_10.1007_978-1-4614-6846-2_8 http://dx.doi.org/10.1007/978-1-4614-6846-2_8
http___dx.doi.org_10.1007_978-1-4614-6846-2_8 http://dx.doi.org/10.1007/978-1-4614-6846-2_8
journals/aai/RitchingsBS08 Comparing ANNs and Genetic Programming for Voice Quality Assessment Post-Treatment
TimRitchings.html
CarlBerry.html
WalaaSheta.html
http___dx.doi.org_10.1080_08839510701734343 http://dx.doi.org/10.1080/08839510701734343
Ritter:2020:PLDI PMEvo: Portable Inference of Port Mappings for out-of-Order Processors by Evolutionary Optimization
FabianRitter.html
SebastianHack.html
https___arxiv.org_abs_2004.10044 https://arxiv.org/abs/2004.10044
https___doi.org_10.1145_3385412.3385995 https://doi.org/10.1145/3385412.3385995
http___dx.doi.org_10.1145_3385412.3385995 http://dx.doi.org/10.1145/3385412.3385995
rivera:mastersthesis Evaluation functions in chess using Genetic Programming
FranciscoRivera.html
Rivera:2015:NTNCELSSE Automatic Generator of Decoupling Blocks Using Genetic Programming
MartinMontesRivera.html
MPazRamos.html
JLOrozcoMora.html
http___link.springer.com_chapter_10.1007_978-3-319-06764-3_35 http://link.springer.com/chapter/10.1007/978-3-319-06764-3_35
http___dx.doi.org_10.1007_978-3-319-06764-3_35 http://dx.doi.org/10.1007/978-3-319-06764-3_35
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MartinMontesRivera.html
AlejandroPadilla.html
JulioCesarPonceGallegos.html
JuanaCanul-Reich.html
AlbertoOchoa-Zezzatti.html
MiguelAMezadeLuna.html
https___doi.org_10.1007_978-3-030-33749-0_45 https://doi.org/10.1007/978-3-030-33749-0_45
http___dx.doi.org_10.1007_978-3-030-33749-0_45 http://dx.doi.org/10.1007/978-3-030-33749-0_45
https___dblp.org_rec_conf_micai_RiveraPGCOL19.bib https://dblp.org/rec/conf/micai/RiveraPGCOL19.bib
RIVERALOPEZ:2022:SEC Induction of decision trees as classification models through metaheuristics
RafaelRivera-Lopez.html
JuanaCanul-Reich.html
EfrenMezura-Montes.html
MarcoAntonioCruz-Chavez.html
http___dx.doi.org_10.1016_j.swevo.2021.101006 http://dx.doi.org/10.1016/j.swevo.2021.101006
https___www.sciencedirect.com_science_article_pii_S2210650221001681 https://www.sciencedirect.com/science/article/pii/S2210650221001681
rivero:evows04 Using Genetic Programming for Character Discrimination in Damaged Documents
DanielRiveroCebrian.html
JuanRamonRabunalDopico.html
JulianDorado.html
AlejandroPazosSierra.html
http___dx.doi.org_10.1007_978-3-540-24653-4_36 http://dx.doi.org/10.1007/978-3-540-24653-4_36
Rivero:2005:ijamcs Artificial Neural Network Development by means of Genetic Programming with Graph Codification
DanielRiveroCebrian.html
JulianDorado.html
JuanRamonRabunalDopico.html
AlejandroPazosSierra.html
JavierPereira.html
http___www.waset.org_journals_ijamcs_v1_v1-1-8.pdf http://www.waset.org/journals/ijamcs/v1/v1-1-8.pdf
conf/iwann/RiveroRDP05 Time Series Forecast with Anticipation Using Genetic Programming
DanielRiveroCebrian.html
JuanRamonRabunalDopico.html
JulianDorado.html
AlejandroPazosSierra.html
http___dx.doi.org_10.1007_11494669_119 http://dx.doi.org/10.1007/11494669_119
Rivero:2006:WSEAS Using Genetic Programming for Artificial Neural Network Development and Simplification
DanielRiveroCebrian.html
JulianDorado.html
JuanRamonRabunalDopico.html
AlejandroPazosSierra.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.558.7104 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.558.7104
http___www.wseas.us_e-library_conferences_2006venice_papers_539-232.pdf http://www.wseas.us/e-library/conferences/2006venice/papers/539-232.pdf
DBLP:conf/icannga/RiveroRDP07 Automatic Design of ANNs by Means of GP for Data Mining Tasks: Iris Flower Classification Problem
DanielRiveroCebrian.html
JuanRamonRabunalDopico.html
JulianDorado.html
AlejandroPazosSierra.html
http___dx.doi.org_10.1007_978-3-540-71618-1_31 http://dx.doi.org/10.1007/978-3-540-71618-1_31
DBLP:reference/ai/RiveroP09 Evolving Graphs for ANN Development and Simplification
DanielRiveroCebrian.html
DavidPeriscal.html
https___dblp.org_rec_reference_ai_RiveroP09.bib https://dblp.org/rec/reference/ai/RiveroP09.bib
http___www.igi-global.com_Bookstore_Chapter.aspx_TitleId_10311 http://www.igi-global.com/Bookstore/Chapter.aspx?TitleId=10311
http___dx.doi.org_10.4018_978-1-59904-849-9.ch094 http://dx.doi.org/10.4018/978-1-59904-849-9.ch094
Rivero:2009:IJCNN Evolving simple feed-forward and recurrent ANNs for signal classification: A comparison
DanielRiveroCebrian.html
JulianDorado.html
JuanRabufial.html
AlejandroPazosSierra.html
http___dx.doi.org_10.1109_IJCNN.2009.5178621 http://dx.doi.org/10.1109/IJCNN.2009.5178621
journals/soco/RiveroDRP09 Modifying genetic programming for artificial neural network development for data mining
DanielRiveroCebrian.html
JulianDorado.html
JuanRamonRabunalDopico.html
AlejandroPazosSierra.html
http___dx.doi.org_10.1007_s00500-008-0317-9 http://dx.doi.org/10.1007/s00500-008-0317-9
Rivero20103200 Generation and simplification of Artificial Neural Networks by means of Genetic Programming
DanielRiveroCebrian.html
JulianDorado.html
JuanRamonRabunalDopico.html
AlejandroPazosSierra.html
http___dx.doi.org_10.1016_j.neucom.2010.05.010 http://dx.doi.org/10.1016/j.neucom.2010.05.010
Rivero:GPtutorial Genetic Programming: key concepts and examples, A brief tutorial on Genetic Programming
DanielRiveroCebrian.html
MarcosGestalPose.html
JuanRamonRabunalDopico.html
https___www.lap-publishing.com_catalog_details_store_ru_book_978-3-8454-3845-0_genetic-programming_-key-concepts-and-examples https://www.lap-publishing.com/catalog/details/store/ru/book/978-3-8454-3845-0/genetic-programming:-key-concepts-and-examples
Rivero:2015:GECCOcomp Classification of Two-channel Signals by Means of Genetic Programming
DanielRiveroCebrian.html
EnriqueFernandez-Blanco.html
JulianDorado.html
AlejandroPazosSierra.html
http___doi.acm.org_10.1145_2739482.2768507 http://doi.acm.org/10.1145/2739482.2768507
http___dx.doi.org_10.1145_2739482.2768507 http://dx.doi.org/10.1145/2739482.2768507
DBLP:journals/jetai/RiveroFFP20 Population subset selection for the use of a validation dataset for overfitting control in genetic programming
DanielRiveroCebrian.html
EnriqueFernandez-Blanco.html
CarlosFernandez-Lozano.html
AlejandroPazosSierra.html
https___doi.org_10.1080_0952813X.2019.1647562 https://doi.org/10.1080/0952813X.2019.1647562
http___dx.doi.org_10.1080_0952813X.2019.1647562 http://dx.doi.org/10.1080/0952813X.2019.1647562
https___dblp.org_rec_journals_jetai_RiveroFFP20.bib https://dblp.org/rec/journals/jetai/RiveroFFP20.bib
RIVERO:2022:eswa DoME: A deterministic technique for equation development and Symbolic Regression
DanielRiveroCebrian.html
EnriqueFernandez-Blanco.html
AlejandroPazosSierra.html
http___dx.doi.org_10.1016_j.eswa.2022.116712 http://dx.doi.org/10.1016/j.eswa.2022.116712
https___www.sciencedirect.com_science_article_pii_S0957417422001889 https://www.sciencedirect.com/science/article/pii/S0957417422001889
robbins:1999:IESALRE Interaction between the Evolution of Species in an Artificial Limited Resource Environment
AndrewRobbins.html
http___www.cs.bham.ac.uk__mer_papers_evoiasp-2003.pdf http://www.cs.bham.ac.uk/~mer/papers/evoiasp-2003.pdf
Roberts:evowks03 The Effectiveness of Cost Based Subtree Caching Mechanisms in Typed Genetic Programming for Image Segmentation
MarkERoberts.html
http___www.cs.bham.ac.uk__mer_papers_evoiasp-2003.pdf http://www.cs.bham.ac.uk/~mer/papers/evoiasp-2003.pdf
http___dx.doi.org_10.1007_3-540-36605-9_41 http://dx.doi.org/10.1007/3-540-36605-9_41
roberts:2003:MICCAI An Artificially Evolved Vision System for Segmenting Skin Lesion Images
MarkERoberts.html
ElaClaridge.html
http___www.cs.bham.ac.uk__mer_papers_miccai-2003.pdf http://www.cs.bham.ac.uk/~mer/papers/miccai-2003.pdf
Roberts:PPSN:2004 Cooperative Coevolution of Image Feature Construction and Object Detection
MarkERoberts.html
ElaClaridge.html
http___www.cs.bham.ac.uk__mer_papers_ppsn-2004.pdf http://www.cs.bham.ac.uk/~mer/papers/ppsn-2004.pdf
https___rdcu.be_dc0lt https://rdcu.be/dc0lt
http___dx.doi.org_10.1007_b100601 http://dx.doi.org/10.1007/b100601
http___dx.doi.org_10.1007_978-3-540-30217-9_91 http://dx.doi.org/10.1007/978-3-540-30217-9_91
roberts:evows05 A Multistage Approach To Cooperatively Coevolving Feature Construction and Object Detection
MarkERoberts.html
ElaClaridge.html
http___dx.doi.org_10.1007_b106856 http://dx.doi.org/10.1007/b106856
http___www.cs.bham.ac.uk__mer_papers_evoiasp-2005.pdf http://www.cs.bham.ac.uk/~mer/papers/evoiasp-2005.pdf
Roberts:thesis Co-operative Co-evolution of Image Feature Extractors and Object Detection Algorithms
MarkERoberts.html
https___britishmachinevisionassociation.github.io_information_theses https://britishmachinevisionassociation.github.io/information/theses
http___www.bmva.org_theses_2006_2006-roberts.pdf http://www.bmva.org/theses/2006/2006-roberts.pdf
roberts:1999:evdIRLI Evolution of Vehicle Detectors for Infrared Linescan Imagery
SimonCRoberts.html
DanielHoward.html
http___dx.doi.org_10.1007_10704703_9 http://dx.doi.org/10.1007/10704703_9
Roberts:2000:GECCO Genetic Programming for Image Analysis: Orientation Detection
SimonCRoberts.html
DanielHoward.html
http___gpbib.cs.ucl.ac.uk_gecco2000_RW152.pdf http://gpbib.cs.ucl.ac.uk/gecco2000/RW152.pdf
roberts:2001:EuroGP Evolving modules in Genetic Programming by subtree encapsulation
SimonCRoberts.html
DanielHoward.html
JohnKoza.html
http___dx.doi.org_10.1007_3-540-45355-5_13 http://dx.doi.org/10.1007/3-540-45355-5_13
roberts:2001:gecco Subtree encapsulation versus ADFs in GP for parity problems
SimonCRoberts.html
DanielHoward.html
JohnKoza.html
http___gpbib.cs.ucl.ac.uk_gecco2001_d02.pdf http://gpbib.cs.ucl.ac.uk/gecco2001/d02.pdf
https___dl.acm.org_doi_epdf_10.5555_2955239.2955272 https://dl.acm.org/doi/epdf/10.5555/2955239.2955272
roberts:2001:eodaia Evolution of an Object Detection Ant for Image Analysis
DanielHoward.html
SimonCRoberts.html
ConorRyan.html
roberts:2001:sevgpep Subtree Encapsulation Versus ADFs in Genetic Programming for the Even-5-Parity Problem
SimonCRoberts.html
DanielHoward.html
JohnKoza.html
Roberts:2002:EvoWorkshops Detection of Incidents on Motorways in Low Flow High Speed Conditions by Genetic Programming
SimonCRoberts.html
DanielHoward.html
http___dx.doi.org_10.1007_3-540-46004-7_25 http://dx.doi.org/10.1007/3-540-46004-7_25
robertson:1999:ECFFLPAPAGHC Evolution of Communication to Facilitate Food Locating and Predator Avoidance in a Population of Autonomous Genetically Homogeneous Creatures
ThomasSRobertson.html
Robilliard:2000:oo Using Genetic Programming to tackle the ocean color problem
DenisRobilliard.html
MalikChami.html
CyrilFonlupt.html
RichardSanter.html
robilliard:2001:EA Backwarding : An Overfitting Control for Genetic Programming in a Remote Sensing Application
DenisRobilliard.html
CyrilFonlupt.html
http___dx.doi.org_10.1007_3-540-46033-0_20 http://dx.doi.org/10.1007/3-540-46033-0_20
DBLP:conf/ae/RobilliardMVF05 Santa Fe Trail Hazards
DenisRobilliard.html
SebastienMahler.html
DominiqueVerhaghe.html
CyrilFonlupt.html
http___dx.doi.org_10.1007_11740698_1 http://dx.doi.org/10.1007/11740698_1
eurogp07:robilliard An Empirical Boosting Scheme for ROC-based Genetic Programming Classifiers
DenisRobilliard.html
VirginieMarion-Poty.html
SebastienMahler.html
CyrilFonlupt.html
http___dx.doi.org_10.1007_978-3-540-71605-1_2 http://dx.doi.org/10.1007/978-3-540-71605-1_2
conf/eurogp/RobilliardMF08 Population Parallel GP on the G80 GPU
DenisRobilliard.html
VirginieMarion-Poty.html
CyrilFonlupt.html
http___dx.doi.org_10.1007_978-3-540-78671-9_9 http://dx.doi.org/10.1007/978-3-540-78671-9_9
robilliard_high_2009 High performance genetic programming on GPU
DenisRobilliard.html
VirginieMarion.html
CyrilFonlupt.html
http___portal.acm.org_citation.cfm_id_1555284.1555299 http://portal.acm.org/citation.cfm?id=1555284.1555299
http___dx.doi.org_10.1145_1555284.1555299 http://dx.doi.org/10.1145/1555284.1555299
Robilliard:2009:GPEM Genetic programming on graphics processing units
DenisRobilliard.html
VirginieMarion-Poty.html
CyrilFonlupt.html
http___www-lil.univ-littoral.fr__robillia_Publis_GPonGPU09.ps.gz http://www-lil.univ-littoral.fr/~robillia/Publis/GPonGPU09.ps.gz
http___dx.doi.org_10.1007_s10710-009-9092-3 http://dx.doi.org/10.1007/s10710-009-9092-3
Robilliard:2013:GPEM John H. Holland: Signals and boundaries: building blocks for complex adaptive systems
DenisRobilliard.html
http___dx.doi.org_10.1007_s10710-013-9180-2 http://dx.doi.org/10.1007/s10710-013-9180-2
Robilliard:2015:EA Towards Human-Competitive Game Playing for Complex Board Games with Genetic Programming
DenisRobilliard.html
CyrilFonlupt.html
http___www-lisic.univ-littoral.fr_publis_1445328959.pdf http://www-lisic.univ-littoral.fr/publis/1445328959.pdf
http___dx.doi.org_10.1007_978-3-319-31471-6_10 http://dx.doi.org/10.1007/978-3-319-31471-6_10
Robinson:2001:GPtieus Genetic Programming: Theory, Implementation, and the Evolution of Unconstrained Solutions
AlanRobinson.html
http___hampshire.edu_lspector_robinson-div3.pdf http://hampshire.edu/lspector/robinson-div3.pdf
http___citeseer.ist.psu.edu_498673.html http://citeseer.ist.psu.edu/498673.html
robinson:2002:gecco:lbp Using Genetic Programming with Multiple Data Types and Automatic Modularization to Evolve Decentralized and Coordinated Navigation in Multi-Agent Systems
AlanRobinson.html
LeeSpector.html
robinson:1995:ecaGP Exploring some Commercial Applications of Genetic Programming
GeraldRobinson.html
PaulWAMcIlroy.html
DBLP:conf/ecal/RobinsonEC07 Neuroevolution of Agents Capable of Reactive and Deliberative Behaviours in Novel and Dynamic Environments
EdwardRobinson.html
TimothyEllis.html
AlastairDChannon.html
http___www.channon.net_alastair_papers_ecal2007.pdf http://www.channon.net/alastair/papers/ecal2007.pdf
http___epapers.bham.ac.uk_32_ http://epapers.bham.ac.uk/32/
http___dx.doi.org_10.1007_978-3-540-74913-4_35 http://dx.doi.org/10.1007/978-3-540-74913-4_35
robinson:1995:ecaGPsv Exploring some Commercial Applications of Genetic Programming
GeraldRobinson.html
PaulWAMcIlroy.html
http___www.springer.com_computer_theoretical_computer_science_book_978-3-540-60469-3 http://www.springer.com/computer/theoretical+computer+science/book/978-3-540-60469-3
http___dx.doi.org_10.1007_3-540-60469-3_38 http://dx.doi.org/10.1007/3-540-60469-3_38
ROCHA2019120 Assessing the effect of abiotic variables and zooplankton on picocyanobacterial dominance in two tropical mesotrophic reservoirs by means of evolutionary computation
MariaIsabeldeAlmeidaRocha.html
FriedrichRecknagel.html
RTMinoti.html
VLMHuszar.html
BKozlowsky-Suzuki.html
Hong-QingCao.html
FLRMStarling.html
CWCBranco.html
http___www.sciencedirect.com_science_article_pii_S0043135418308704 http://www.sciencedirect.com/science/article/pii/S0043135418308704
http___dx.doi.org_10.1016_j.watres.2018.10.067 http://dx.doi.org/10.1016/j.watres.2018.10.067
eurogp:RochatTV05 Dynamic Size Populations in Distributed Genetic Programming
DenisRochat.html
MarcoTomassini.html
LeonardoVanneschi.html
http___dx.doi.org_10.1007_978-3-540-31989-4_5 http://dx.doi.org/10.1007/978-3-540-31989-4_5
http___dx.doi.org_10.1007_b107383 http://dx.doi.org/10.1007/b107383
oai:eprints.whiterose.ac.uk:134313 Pruning of Genetic Programming Trees Using Permutation Tests
PeterIRockett.html
http___eprints.whiterose.ac.uk_134313_1_PruningReport.pdf http://eprints.whiterose.ac.uk/134313/1/PruningReport.pdf
http___eprints.whiterose.ac.uk_134313_ http://eprints.whiterose.ac.uk/134313/
DBLP:conf/hais/RockettLDH19 d(Tree)-by-dx: Automatic and Exact Differentiation of Genetic Programming Trees
PeterIRockett.html
YuriKaszubowskiLopes.html
TiantianDou.html
AbigailHathway.html
https___doi.org_10.1007_978-3-030-29859-3_12 https://doi.org/10.1007/978-3-030-29859-3_12
http___dx.doi.org_10.1007_978-3-030-29859-3_12 http://dx.doi.org/10.1007/978-3-030-29859-3_12
https___dblp.org_rec_conf_hais_RockettLDH19.bib https://dblp.org/rec/conf/hais/RockettLDH19.bib
Rockett:2020:EI Pruning of genetic programming trees using permutation tests
PeterIRockett.html
https___rdcu.be_cU470 https://rdcu.be/cU470
http___dx.doi.org_10.1007_s12065-020-00379-8 http://dx.doi.org/10.1007/s12065-020-00379-8
Rockett:2021:GPEM Constant optimization and feature standardization in multiobjective genetic programming
PeterIRockett.html
http___dx.doi.org_10.1007_s10710-021-09410-y http://dx.doi.org/10.1007/s10710-021-09410-y
rodrigues:2022:Entropy ``Found in Translation'': An Evolutionary Framework for Auditory-Visual Relationships
AnaRodrigues.html
BrunaSousa.html
FAmilcarCardoso.html
PenousalMachado.html
https___www.mdpi.com_1099-4300_24_12_1706 https://www.mdpi.com/1099-4300/24/12/1706
http___dx.doi.org_10.3390_e24121706 http://dx.doi.org/10.3390/e24121706
sbia2002meta031 Grammar-Guided Genetic Programming and Automatically Defined Functions
ErnestoLMRodrigues.html
AuroraTrinidadRamirezPozo.html
http___dx.doi.org_10.1007_3-540-36127-8_31 http://dx.doi.org/10.1007/3-540-36127-8_31
enia2003meta025 Programa\c c\~ao Gen\'etica na Otimiza\c c\~ao de Circuitos Digitais
ErnestoLMRodrigues.html
http___www.ic.unicamp.br_sbc2003_enia2003aceitos.pdf http://www.ic.unicamp.br/sbc2003/enia2003aceitos.pdf
conf/his/RodriguesL06 Genetic Programming with Incremental Learning for Grammatical Inference
ErnestoLMRodrigues.html
HeitorSilverioLopes.html
http___dx.doi.org_10.1109_HIS.2006.264930 http://dx.doi.org/10.1109/HIS.2006.264930
Rodrigues:2020:EuroGP Ensemble Genetic Programming
NunoMiguelRodriguesDomingos.html
JoaoEBatista.html
SaraSilva.html
https___www.youtube.com_watch_v_7BZebUI9mzI https://www.youtube.com/watch?v=7BZebUI9mzI
http___dx.doi.org_10.1007_978-3-030-44094-7_10 http://dx.doi.org/10.1007/978-3-030-44094-7_10
Rodrigues:2020:CEC A Study of Fitness Landscapes for Neuroevolution
NunoMiguelRodriguesDomingos.html
SaraSilva.html
LeonardoVanneschi.html
http___dx.doi.org_10.1109_CEC48606.2020.9185783 http://dx.doi.org/10.1109/CEC48606.2020.9185783
Rodrigues:2020:ACC A Study of Generalization and Fitness Landscapes for Neuroevolution
NunoMiguelRodriguesDomingos.html
SaraSilva.html
LeonardoVanneschi.html
http___dx.doi.org_10.1109_ACCESS.2020.3001505 http://dx.doi.org/10.1109/ACCESS.2020.3001505
Rodrigues:2022:EuroGP SLUG: Feature Selection Using Genetic Algorithms and Genetic Programming
NunoMiguelRodriguesDomingos.html
JoaoEBatista.html
WilliamLaCava.html
LeonardoVanneschi.html
SaraSilva.html
http___dx.doi.org_10.1007_978-3-031-02056-8_5 http://dx.doi.org/10.1007/978-3-031-02056-8_5
rodrigues:2023:GECCOcomp Performance Analysis of Self-Supervised Strategies for Standard Genetic Programming
NunoMiguelRodriguesDomingos.html
JoseAlmeida.html
SaraSilva.html
http___dx.doi.org_10.1145_3583133.3590748 http://dx.doi.org/10.1145/3583133.3590748
rodrigues:2020:Entropy Machine Learning Photovoltaic String Analyzer
SandyRodrigues.html
GerhardMuetter.html
HelenaMariadosSantosGeirinhasRamos.html
FMorgado-Dias.html
https___www.mdpi.com_1099-4300_22_2_205 https://www.mdpi.com/1099-4300/22/2/205
http___dx.doi.org_10.3390_e22020205 http://dx.doi.org/10.3390/e22020205
RodriguesdosSantos:2018:ieeeFUZZ Multi-objective Fuzzy Pattern Trees
AndersonRodriguesdosSantos.html
JorgeLuisMachadoDoAmaral.html
CarlosAugustoRibeiroSoares.html
AdrianoValladaodeBarros.html
http___dx.doi.org_10.1109_FUZZ-IEEE.2018.8491689 http://dx.doi.org/10.1109/FUZZ-IEEE.2018.8491689
Rodrigues-Filho:2019:FAS*W Code Synthesis in Self-Improving Software Systems
RobertoRodriguesFilho.html
AlexanderWild.html
BarryPorter.html
https___eprints.lancs.ac.uk_id_eprint_133281_1_sissy2019rodrigues.pdf https://eprints.lancs.ac.uk/id/eprint/133281/1/sissy2019rodrigues.pdf
http___dx.doi.org_10.1109_FAS-W.2019.00015 http://dx.doi.org/10.1109/FAS-W.2019.00015
rodriguez:mastersthesis A Neat Approach To Genetic Programming
AdeleinRodriguez.html
https___stars.library.ucf.edu_etd_3323.pdf https://stars.library.ucf.edu/etd/3323.pdf
https___stars.library.ucf.edu_cgi_viewcontent.cgi_article_4323_context_etd https://stars.library.ucf.edu/cgi/viewcontent.cgi?article=4323&context=etd
rodriguez:1998:DHEEFSTAWGPA Discovery of Hunting, Escaping, Eating and Food Saving Techniques in an Artificial World by means of a Genetic Programming Algorithm
AndresRodriguez.html
Rodriguez:2012:AS Surrogate modeling with Genetic Programming applied to satellite communication and ground stations
GlenDRodriguezRafael.html
IvanChristianVelasquezAparco.html
DaneBruceCachiEugenio.html
DanteInga.html
http___www.proceedings.com_14622.html http://www.proceedings.com/14622.html
http___dx.doi.org_10.1109_AERO.2012.6187326 http://dx.doi.org/10.1109/AERO.2012.6187326
oai:arXiv.org:1003.0575 The genome is software and evolution is a software developer
JosedelCarmenRodriguezSantamaria.html
http___arxiv.org_abs_1003.0575 http://arxiv.org/abs/1003.0575
Rodriguez-Aguilera:thesis Nuevos metodos de resolucion de ecuaciones diferenciales frecuentes en problemas agronomicos y ambientales
DavidRodriguez-Aguilera.html
https___dialnet.unirioja.es_servlet_tesis_codigo_11048 https://dialnet.unirioja.es/servlet/tesis?codigo=11048
rodriguez-aguinaga:2022:AS EEG-Based Emotion Recognition Using Deep Learning and M3GP
AdrianRodriguezAguinaga.html
LuisMunozDelgado.html
VictorRaulLopezLopez.html
AndresCalvilloTellez.html
https___www.mdpi.com_2076-3417_12_5_2527 https://www.mdpi.com/2076-3417/12/5/2527
http___dx.doi.org_10.3390_app12052527 http://dx.doi.org/10.3390/app12052527
DBLP:conf/mcpr2/Rodriguez-Coayahuitl19 Convolutional Genetic Programming
LinoRodriguez-Coayahuitl.html
AliciaMorales-Reyes.html
HugoJairEscalante.html
https___doi.org_10.1007_978-3-030-21077-9_5 https://doi.org/10.1007/978-3-030-21077-9_5
http___dx.doi.org_10.1007_978-3-030-21077-9_5 http://dx.doi.org/10.1007/978-3-030-21077-9_5
https___dblp.org_rec_conf_mcpr2_Rodriguez-Coayahuitl19.bib https://dblp.org/rec/conf/mcpr2/Rodriguez-Coayahuitl19.bib
DBLP:journals/corr/abs-1802-07133 Towards Deep Representation Learning with Genetic Programming
LinoRodriguez-Coayahuitl.html
AliciaMorales-Reyes.html
HugoJairEscalante.html
http___arxiv.org_abs_1802.07133 http://arxiv.org/abs/1802.07133
https___dblp.org_rec_bib_journals_corr_abs-1802-07133 https://dblp.org/rec/bib/journals/corr/abs-1802-07133
Rodriguez-Coayahuitl:2018:EuroGP Structurally Layered Representation Learning: Towards Deep Learning through Genetic Programming
LinoRodriguez-Coayahuitl.html
AliciaMorales-Reyes.html
HugoJairEscalante.html
http___dx.doi.org_10.1007_978-3-319-77553-1_17 http://dx.doi.org/10.1007/978-3-319-77553-1_17
Rodriguez-Coayahuitl:GPEM:autoencoding Evolving autoencoding structures through genetic programming
LinoRodriguez-Coayahuitl.html
AliciaMorales-Reyes.html
HugoJairEscalante.html
http___dx.doi.org_10.1007_s10710-019-09354-4 http://dx.doi.org/10.1007/s10710-019-09354-4
Rodriguez-Coayahuitl:2019:ROPEC A Comparison among Different Levels of Abstraction in Genetic Programming
LinoRodriguez-Coayahuitl.html
AliciaMorales-Reyes.html
HugoJairEscalante.html
https___easychair.org_smart-program_ROPEC2019_2019-11-14.html https://easychair.org/smart-program/ROPEC2019/2019-11-14.html
http___dx.doi.org_10.1109_ROPEC48299.2019.9057106 http://dx.doi.org/10.1109/ROPEC48299.2019.9057106
Rodriguez-Coayahuitl:2020:PPSN Cooperative Co-Evolutionary GP for High Dimensional Problems
LinoRodriguez-Coayahuitl.html
AliciaMorales-Reyes.html
HugoJairEscalante.html
CarlosArtemioCoelloCoello.html
http___dx.doi.org_10.1007_978-3-030-58115-2_4 http://dx.doi.org/10.1007/978-3-030-58115-2_4
Rodriguez-Mier:2010:EI Composition of web services through genetic programming
PabloRodriguez-Mier.html
ManuelMucientesMolina.html
ManuelLamaPenin.html
MiguelIxenCoutoPerez.html
http___dx.doi.org_10.1007_s12065-010-0042-z http://dx.doi.org/10.1007/s12065-010-0042-z
Rodriguez-Mier:thesis A graph-based framework for optimal semantic web service composition
PabloRodriguez-Mier.html
http___hdl.handle.net_10347_14849 http://hdl.handle.net/10347/14849
https___minerva.usc.es_xmlui_bitstream_handle_10347_14849_rep_1220.pdf https://minerva.usc.es/xmlui/bitstream/handle/10347/14849/rep_1220.pdf
Rodrigue-Rafael:2011:GECCOcomp Empirical study of surrogate models for black box optimizations obtained using symbolic regression via genetic programming
GlenDRodriguezRafael.html
CarlosJavierSolanoSalinas.html
http___dx.doi.org_10.1145_2001858.2001962 http://dx.doi.org/10.1145/2001858.2001962
Rodriguez-Vazquez:1997:moGPnsia Multiobjective Genetic Programming: A Nonlinear System Identification Application
KatyaRodriguez-Vazquez.html
CarlosMFonseca.html
PeterJFleming.html
http___www.lania.mx__ccoello_EMOO_katya97.ps.gz http://www.lania.mx/~ccoello/EMOO/katya97.ps.gz
http___citeseer.ist.psu.edu_rodriguez-vazquez97multiobjective.html http://citeseer.ist.psu.edu/rodriguez-vazquez97multiobjective.html
Rodriguez-Vazquez:1997:GPnarmax A Genetic Programming/NARMAX Approach to Nonlinear System Identification
KatyaRodriguez-Vazquez.html
PeterJFleming.html
http___scitation.aip.org_getpdf_servlet_GetPDFServlet_filetype_pdf_id_IEECPS0019970CP446000409000001.pdf http://scitation.aip.org/getpdf/servlet/GetPDFServlet?filetype=pdf&id=IEECPS0019970CP446000409000001.pdf
http___dx.doi.org_10.1049_cp_19971215 http://dx.doi.org/10.1049/cp:19971215
rodriguez-vazquez:1999:GPDCSM Genetic Programming for Dynamic Chaotic Systems Modelling
KatyaRodriguez-Vazquez.html
PeterJFleming.html
http___dx.doi.org_10.1109_CEC.1999.781903 http://dx.doi.org/10.1109/CEC.1999.781903
rodriguez-vazquez:2000:GPirms Use of Genetic Programming In The Identification Of Rational Model Structures
KatyaRodriguez-Vazquez.html
PeterJFleming.html
http___dx.doi.org_10.1007_978-3-540-46239-2_13 http://dx.doi.org/10.1007/978-3-540-46239-2_13
Vazquez:2000:GECCOlb Identification of MIMO Non-Linear Systems Using Evolutionary Computation
KatyaRodriguez-Vazquez.html
rodriguez-vazquez:2001:gptsmaamd Genetic Programming in Time Series Modelling: An Application to Meteorological Data
KatyaRodriguez-Vazquez.html
http___ieeexplore.ieee.org_iel5_7440_20223_00934399.pdf_isNumber_20223 http://ieeexplore.ieee.org/iel5/7440/20223/00934399.pdf?isNumber=20223
http___citeseer.ist.psu.edu_459278.html http://citeseer.ist.psu.edu/459278.html
http___dx.doi.org_10.1109_CEC.2001.934399 http://dx.doi.org/10.1109/CEC.2001.934399
rodriguez-vazquez03 Divide and Conquer: Genetic Programming Based on Multiple Branches Encoding
KatyaRodriguez-Vazquez.html
CarlosOliver-Morales.html
http___dx.doi.org_10.1007_3-540-36599-0_20 http://dx.doi.org/10.1007/3-540-36599-0_20
rodriguez-vazquez:2004:lbp Function Approximation by means of Multi-Branches Genetic Programming
KatyaRodriguez-Vazquez.html
CarlosOliver-Morales.html
http___www.sigevo.org_gecco-2004_talk-schedule.html http://www.sigevo.org/gecco-2004/talk-schedule.html
http___gpbib.cs.ucl.ac.uk_gecco2004_LBP051.pdf http://gpbib.cs.ucl.ac.uk/gecco2004/LBP051.pdf
rodriguez-vazquez:mgp:gecco2004 Multi-branches Genetic Programming as a Tool for Function Approximation
KatyaRodriguez-Vazquez.html
CarlosOliver-Morales.html
http___dx.doi.org_10.1007_b98645 http://dx.doi.org/10.1007/b98645
rodriguez-vazquez:its Identifying the structure of nonlinear dynamic systems using multiobjective genetic programming
KatyaRodriguez-Vazquez.html
CarlosMFonseca.html
PeterJFleming.html
http___dx.doi.org_10.1109_TSMCA.2004.826299 http://dx.doi.org/10.1109/TSMCA.2004.826299
journals/kais/Rodriguez-VazquezF05 Evolution of mathematical models of chaotic systems based on multiobjective genetic programming
KatyaRodriguez-Vazquez.html
PeterJFleming.html
http___dx.doi.org_10.1007_s10115-004-0184-3 http://dx.doi.org/10.1007/s10115-004-0184-3
Rodriguez-Vazquez:2008:MPSN Multiobjective GP for Human-Understandable Models: A Practical Application
KatyaRodriguez-Vazquez.html
PeterJFleming.html
http___dx.doi.org_10.1007_978-3-540-72964-8_10 http://dx.doi.org/10.1007/978-3-540-72964-8_10
Rodriguez:2011:intech A Matlab Genetic Programming Approach to Topographic Mesh Surface Generation
KatyaRodriguez-Vazquez.html
RosalvaMendozaRamrez.html
http___www.intechopen.com_articles_show_title_a-matlab-genetic-programming-approach-to-topographic-mesh-surface-generation http://www.intechopen.com/articles/show/title/a-matlab-genetic-programming-approach-to-topographic-mesh-surface-generation
http___www.intechopen.com_download_pdf_pdfs_id_21403 http://www.intechopen.com/download/pdf/pdfs_id/21403
http___www.intechopen.com_books_engineering-education-and-research-using-matlab http://www.intechopen.com/books/engineering-education-and-research-using-matlab
http___dx.doi.org_10.5772_22376 http://dx.doi.org/10.5772/22376
Rodriguez-Vazquez:2012:JH Rainfall-runoff modelling using genetic programming
KatyaRodriguez-Vazquez.html
MaritzaLilianaArganisJuarez.html
CarlosCruickshankVillanueva.html
RamonDominguezMora.html
http___www.iwaponline.com_jh_014_0108_0140108.pdf http://www.iwaponline.com/jh/014/0108/0140108.pdf
http___dx.doi.org_10.2166_hydro.2011.105 http://dx.doi.org/10.2166/hydro.2011.105
Rodriguez-vazquez:2013:GECCOcomp Sunspots modelling: comparison of GP approaches
KatyaRodriguez-Vazquez.html
http___dx.doi.org_10.1145_2464576.2480779 http://dx.doi.org/10.1145/2464576.2480779
RodriguezFdez:2015:ASC Learning fuzzy controllers in mobile robotics with embedded preprocessing
IsmaelRodriguezFernandez.html
ManuelMucientesMolina.html
AlbertoJBugarinDiz.html
http___dx.doi.org_10.1016_j.asoc.2014.09.021 http://dx.doi.org/10.1016/j.asoc.2014.09.021
http___www.sciencedirect.com_science_article_pii_S1568494614004748 http://www.sciencedirect.com/science/article/pii/S1568494614004748
Rodriguez-Fernandez:thesis Evolutionary Learning of Fuzzy Rules for Regression
IsmaelRodriguezFernandez.html
https___citius.usc.es_novidades_eventos_phd-defense-evolutionary-learning-fuzzy-rules-regression https://citius.usc.es/novidades/eventos/phd-defense-evolutionary-learning-fuzzy-rules-regression
http___hdl.handle.net_10347_15153 http://hdl.handle.net/10347/15153
https___minerva.usc.es_xmlui_bitstream_handle_10347_15153_rep_1303.pdf_sequence_1_isAll https://minerva.usc.es/xmlui/bitstream/handle/10347/15153/rep_1303.pdf?sequence=1&isAll
Rodzin:2013:ewdts Fault tolerance of the distributed structure of object controllers for automation of transport
SergeyRodzinIvanovich.html
LadaRodzina.html
http___dx.doi.org_10.1109_EWDTS.2013.6673132 http://dx.doi.org/10.1109/EWDTS.2013.6673132
Rogers:games Using Evolutionary Algorithms to Target Complexity Levels in Game Economies
KatjaRogers.html
VincentLeClaire.html
JulianFrommel.html
ReganMandryk.html
LennartENacke.html
http___dx.doi.org_10.1109_TG.2023.3238163 http://dx.doi.org/10.1109/TG.2023.3238163
Rohrbeck:2008:JTM Gene expression profiling for molecular distinction and characterization of laser captured primary lung cancers
AstridRohrbeck.html
JudithNeukirchen.html
MichaelRosskopf.html
GuillermoGPardillos.html
HeleneGeddert.html
AndreasSchwalen.html
HelmutEGabbert.html
ArndtvonHaeseler.html
GeraldPitschke.html
MatthiasSchott.html
RalfKronenwett.html
RainerHaas.html
Ulrich-PeterRohr.html
http___dx.doi.org_10.1186_1479-5876-6-69 http://dx.doi.org/10.1186/1479-5876-6-69
rojas:2003:CIIC Disminucion de Errores de Sintaxis de Codigo en C usando Programacion Genetica
SergioAndresRojas.html
JulianYezidOlarte.html
DavidEnriqueSuarez.html
rojas:2004:lbp A Grid-based Ant Colony System for Automatic Program Synthesis
SergioAndresRojas.html
PeterJBentley.html
http___gpbib.cs.ucl.ac.uk_gecco2004_LBP047.pdf http://gpbib.cs.ucl.ac.uk/gecco2004/LBP047.pdf
WSEAS_469-162 Statistical analysis of intelligent classifier on breast cancer data
IgnacioRojasRuiz.html
OValenzuela.html
LMarquez.html
PasadasPasadas.html
http___atc.ugr.es_I_D_i_revistas_2004_WSEAS_2004_1_161.pdf http://atc.ugr.es/I+D+i/revistas/2004/WSEAS_2004_1_161.pdf
Rojas-Delgado:2022:machines GA-Based Permutation Logic for Grid Integration of Offshore Multi-Source Renewable Parks
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ChisomEkweoba.html
GeorgeLavidas.html
IrinaTemiz.html
https___pure.tudelft.nl_ws_portalfiles_portal_141405874_machines_10_01208.pdf https://pure.tudelft.nl/ws/portalfiles/portal/141405874/machines_10_01208.pdf
https___www.mdpi.com_2075-1702_10_12_1208 https://www.mdpi.com/2075-1702/10/12/1208
http___dx.doi.org_10.3390_machines10121208 http://dx.doi.org/10.3390/machines10121208
Rojas-Delgado:2023:wecanet Combining Genetic Programming and Genetic Algorithm to improve the grid integration of offshore multi-source parks
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ChisomEkweoba.html
GeorgeLavidas.html
IrinaTemiz.html
https___www.wecanet.eu__files_ugd_493ce7_2e73d5c6b50a43fc8fdf9b4ffe4849d8.pdf https://www.wecanet.eu/_files/ugd/493ce7_2e73d5c6b50a43fc8fdf9b4ffe4849d8.pdf
DBLP:journals/corr/abs-2106-01176 Hybrid Ensemble optimized algorithm based on Genetic Programming for imbalanced data classification
MalihehRoknizadeh.html
HosseinMonshizadehNaeen.html
https___arxiv.org_abs_2106.01176 https://arxiv.org/abs/2106.01176
https___dblp.org_rec_journals_corr_abs-2106-01176.bib https://dblp.org/rec/journals/corr/abs-2106-01176.bib
Rolania:2013:ASC Bacterially inspired evolving system with an application to time series prediction
DoloresBarriosRolania.html
JoseMFont.html
DanielManriqueGamo.html
http___dx.doi.org_10.1016_j.asoc.2012.10.012 http://dx.doi.org/10.1016/j.asoc.2012.10.012
http___www.sciencedirect.com_science_article_pii_S1568494612004632 http://www.sciencedirect.com/science/article/pii/S1568494612004632
rollin:1999:EGPHTPLBRSE Evolution by Genetic Programming of a Heuristically-Drive Tic-Tac-Toe Player which Learns Both Rules and Strategy by Experience
MichaelRollin.html
Roman:2019:GECCO Sentiment analysis with genetically evolved Gaussian kernels
IbaiRoman.html
AlexanderMendiburu.html
RobertoSantana.html
JoseALozano.html
http___dx.doi.org_10.1145_3321707.3321779 http://dx.doi.org/10.1145/3321707.3321779
ROMAN:2021:Neurocomputing Evolving Gaussian process kernels from elementary mathematical expressions for time series extrapolation
IbaiRoman.html
RobertoSantana.html
AlexanderMendiburu.html
JoseALozano.html
http___dx.doi.org_10.1016_j.neucom.2021.08.020 http://dx.doi.org/10.1016/j.neucom.2021.08.020
https___www.sciencedirect.com_science_article_pii_S0925231221012042 https://www.sciencedirect.com/science/article/pii/S0925231221012042
Romano:GPEM:TPOT-NN TPOT-NN: augmenting tree‑based automated machine learning with neural network estimators
JosephDRomano.html
TrangTLe.html
WeixuanFu.html
JasonHMoore.html
http___dx.doi.org_10.1007_s10710-021-09401-z http://dx.doi.org/10.1007/s10710-021-09401-z
ROMANO:2023:comtox Exploring genetic influences on adverse outcome pathways using heuristic simulation and graph data science
JosephDRomano.html
LiangMei.html
JonathanSenn.html
JasonHMoore.html
HollyMMortensen.html
http___dx.doi.org_10.1016_j.comtox.2023.100261 http://dx.doi.org/10.1016/j.comtox.2023.100261
https___www.sciencedirect.com_science_article_pii_S2468111323000026 https://www.sciencedirect.com/science/article/pii/S2468111323000026
romao:2004:ASC Discovering interesting knowledge from a science \& technology database with a genetic algorithm
WesleyRomao.html
AlexAlvesFreitas.html
ItanaMdeSGimenes.html
https___www.cs.kent.ac.uk_people_staff_aaf_pubs.html https://www.cs.kent.ac.uk/people/staff/aaf/pubs.html
http___dx.doi.org_10.1016_j.asoc.2003.10.002 http://dx.doi.org/10.1016/j.asoc.2003.10.002
Romero:2004:umuai Knowledge Discovery with Genetic Programming for Providing Feedback to Courseware Authors
CristobalRomeroMorales.html
SebastianVentura.html
PaulDeBra.html
http___dx.doi.org_10.1007_s11257-004-7961-2 http://dx.doi.org/10.1007/s11257-004-7961-2
RVHE2005 Rule discovery in Web-based educational systems using Grammar-Based Genetic Programming
CristobalRomeroMorales.html
SebastianVentura.html
CesarHervasMartinez.html
PedroGonzalezEspejo.html
http___library.witpress.com_pages_listPapers.asp_q_bid_327 http://library.witpress.com/pages/listPapers.asp?q_bid=327
http___dx.doi.org_10.2495_DATA050211 http://dx.doi.org/10.2495/DATA050211
RVHE2006 Rule mining with GBGP to improve web-based adaptive educational systems
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SebastianVentura.html
CesarHervasMartinez.html
PedroGonzalezEspejo.html
http___library.witpress.com_pages_listPapers.asp_q_bid_392 http://library.witpress.com/pages/listPapers.asp?q_bid=392
Romero:2013:exsys Association rule mining using genetic programming to provide feedback to instructors from multiple-choice quiz data
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AmeliaZafraGomez.html
JoseMariaLuna.html
SebastianVentura.html
http___dx.doi.org_10.1111_j.1468-0394.2012.00627.x http://dx.doi.org/10.1111/j.1468-0394.2012.00627.x
Romero:2013:GPEM Guest editorial: special issue on biologically inspired music, sound, art and design
JuanJesusRomeroCardalda.html
PenousalMachado.html
AdrianCarballalMato.html
http___dx.doi.org_10.1007_s10710-013-9191-z http://dx.doi.org/10.1007/s10710-013-9191-z
Romero:2020:entropy A Genetic Programming-Based Low-Level Instructions Robot for Realtimebattle
JuanJesusRomeroCardalda.html
AntoninoSantosdelRiego.html
AdrianCarballalMato.html
NereidaRodriguez-Fernandez.html
IriaSantos.html
AlvaroTorrente-Patino.html
JuanTunas.html
PenousalMachado.html
https___www.mdpi.com_1099-4300_22_12_1362 https://www.mdpi.com/1099-4300/22/12/1362
http___dx.doi.org_10.3390_e22121362 http://dx.doi.org/10.3390/e22121362
Romero_2002 Intelligent Tutoring System using an Evolutionary Student Model
SergioAndresRojas.html
JohnnaRamierez.html
OscarJavierRomeroLopez.html
http___www.cs.cmu.edu__oscarr_pdf_publications_2002_iasted.pdf http://www.cs.cmu.edu/~oscarr/pdf/publications/2002_iasted.pdf
Romero2007 Analysis of Emergent Properties in a Hybrid Bio-inspired Architecture for Cognitive Agents
OscarJavierRomeroLopez.html
AngelicadeAntonioJimenez.html
https___doi.org_10.1007_978-3-540-74972-1_2 https://doi.org/10.1007/978-3-540-74972-1_2
http___dx.doi.org_10.1007_978-3-540-74972-1_2 http://dx.doi.org/10.1007/978-3-540-74972-1_2
Romero-Lopez:EL Multilayered Evolutionary Architecture for Behaviour Arbitration in Cognitive Agents
OscarJavierRomeroLopez.html
http___www.engineeringletters.com_issues_v15_issue_2_EL_15_2_04.pdf http://www.engineeringletters.com/issues_v15/issue_2/EL_15_2_04.pdf
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.148.6014 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.148.6014
Romero:2008:ALAMAS.ALA Bio-inspired Cognitive Architecture for Adaptive Agents based on an Evolutionary Approach
OscarJavierRomeroLopez.html
AngelicadeAntonioJimenez.html
http___www.cs.cmu.edu__oscarr_pdf_publications_2008_aamas.pdf http://www.cs.cmu.edu/~oscarr/pdf/publications/2008_aamas.pdf
Lopez:2008:cec Hybrid Behaviour Orchestration in a Multilayered Cognitive Architecture Using an Evolutionary Approach
OscarJavierRomeroLopez.html
AngelicadeAntonioJimenez.html
http___dx.doi.org_10.1109_CEC.2008.4630795 http://dx.doi.org/10.1109/CEC.2008.4630795
Lopez:2009:cec Hybridization of Cognitive Models Using Evolutionary Strategies
OscarJavierRomeroLopez.html
AngelicadeAntonioJimenez.html
https___ieeexplore.ieee.org_document_4983351_ https://ieeexplore.ieee.org/document/4983351/
http___dx.doi.org_10.1109_CEC.2009.4983351 http://dx.doi.org/10.1109/CEC.2009.4983351
Romero_2009 Modulation of multi-level evolutionary strategies for artificial cognition
OscarJavierRomeroLopez.html
AngelicadeAntonioJimenez.html
http___doi.acm.org_10.1145_1569901.1570182 http://doi.acm.org/10.1145/1569901.1570182
http___dx.doi.org_10.1145_1569901.1570182 http://dx.doi.org/10.1145/1569901.1570182
Lopez:ICCEA:2010 Self-Organized and Evolvable Cognitive Architecture for Intelligent Agents and Multi-agent Systems
OscarJavierRomeroLopez.html
http___dx.doi.org_10.1109_ICCEA.2010.87 http://dx.doi.org/10.1109/ICCEA.2010.87
Romero_2011 An evolutionary behavioral model for decision making
OscarJavierRomeroLopez.html
http___cogprints.org_8015_ http://cogprints.org/8015/
http___dx.doi.org_10.1177_1059712311419680 http://dx.doi.org/10.1177/1059712311419680
Romero-Lopez:2012:CEC Evolving the way of doing the right thing
OscarJavierRomeroLopez.html
AngelicadeAntonioJimenez.html
http___dx.doi.org_10.1109_CEC.2012.6256597 http://dx.doi.org/10.1109/CEC.2012.6256597
Romero-Zaliz:thesis Reconocimiento de Perfiles de Regulacin Gentica Mediante Algoritmos Evolutivos Multiobjetivo
RocioCRomeroZalizo.html
http___decsai.ugr.es__rocio_tesis.pdf http://decsai.ugr.es/~rocio/tesis.pdf
Romero-Zaliz:2009:ieeeTEC A multi-objective evolutionary conceptual clustering methodology for gene annotation within structural databases: A case of study on the Gene Ontology database
RocioCRomeroZalizo.html
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JPerrenCobb.html
FranciscoHerrera.html
OscarCordon.html
IgorZwir.html
http___sci2s.ugr.es_publications_ficheros_2008-IEEE_TEC_20-_20Romero-Zaliz-_20Multiobjective_20Evolutionary_20Conceptual_20Clustering.pdf http://sci2s.ugr.es/publications/ficheros/2008-IEEE_TEC%20-%20Romero-Zaliz-%20Multiobjective%20Evolutionary%20Conceptual%20Clustering.pdf
http___dx.doi.org_10.1109_TEVC.2008.915995 http://dx.doi.org/10.1109/TEVC.2008.915995
rong:2018:CPOMIA Explaining Convolutional Neural Networks for Area Estimation of Choroidal Neovascularization via Genetic Programming
YibiaoRong.html
KaiYu.html
DehuiXiang.html
WeifangZhu.html
ZhunFan.html
XinjianChen.html
http___link.springer.com_chapter_10.1007_978-3-030-00949-6_25 http://link.springer.com/chapter/10.1007/978-3-030-00949-6_25
http___dx.doi.org_10.1007_978-3-030-00949-6_25 http://dx.doi.org/10.1007/978-3-030-00949-6_25
Ronge:1996:GPce Genetic Programs and Co-Evolution Developing robust general purpose controllers using local mating in two dimensional populations
AndreasRonge.html
MatsGNordahl.html
http___dx.doi.org_10.1007_3-540-61723-X_972 http://dx.doi.org/10.1007/3-540-61723-X_972
Roohitavaf:2018:GECCOcomp NetSynth: a framework for synthesizing customized network protocols using genetic programming
MohammadRoohitavaf.html
LingZhu.html
SandeepKulkarni.html
SubirBiswas.html
http___dx.doi.org_10.1145_3205651.3205789 http://dx.doi.org/10.1145/3205651.3205789
Roohitavaf:2018:GI5 Synthesizing Customized Network Protocols using Genetic Programming
MohammadRoohitavaf.html
LingZhu.html
SandeepKulkarni.html
SubirBiswas.html
http___www.cs.stir.ac.uk_events_gecco-gi-2018_papers_synthesizing_customized_network_protocols_using_genetic_programming.pdf http://www.cs.stir.ac.uk/events/gecco-gi-2018/papers/synthesizing_customized_network_protocols_using_genetic_programming.pdf
http___dx.doi.org_10.1145_3205651.3208272 http://dx.doi.org/10.1145/3205651.3208272
rooke:2001:CES Eons of Genetically Evolved Algorithmic Images
StevenRooke.html
http___www.amazon.com_Creative-Evolutionary-Kaufmann-Artificial-Intelligence_dp_1558606734 http://www.amazon.com/Creative-Evolutionary-Kaufmann-Artificial-Intelligence/dp/1558606734
https___www.sciencedirect.com_science_article_pii_B9781558606739500525 https://www.sciencedirect.com/science/article/pii/B9781558606739500525
http___dx.doi.org_10.1016_B978-155860673-9_50052-5 http://dx.doi.org/10.1016/B978-155860673-9/50052-5
Roos:2014:ICAS A comparison of techniques to get sparse rational approximations for linear fractional representations
ClementRoos.html
GeorgesHardier.html
CarstenDoell.html
https___hal.archives-ouvertes.fr_hal-01088599 https://hal.archives-ouvertes.fr/hal-01088599
https___hal.archives-ouvertes.fr_hal-01088599_document https://hal.archives-ouvertes.fr/hal-01088599/document
oai:CiteSeerX.psu:10.1.1.411.5348 Robust Design and Reliability-based Design Optimization
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DBLP:journals/nca/RoostaHJ19 Application of artificial neural networks and genetic programming in vapor-liquid equilibrium of C1 to C7 alkane binary mixtures
AliakbarRoosta.html
JavadHekayati.html
JafarJavanmardi.html
https___doi.org_10.1007_s00521-017-3150-1 https://doi.org/10.1007/s00521-017-3150-1
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https___dblp.org_rec_journals_nca_RoostaHJ19.bib https://dblp.org/rec/journals/nca/RoostaHJ19.bib
Rosa:2017:GECCO Feature Selection Using Geometric Semantic Genetic Programming
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http___doi.acm.org_10.1145_3067695.3076020 http://doi.acm.org/10.1145/3067695.3076020
http___dx.doi.org_10.1145_3067695.3076020 http://dx.doi.org/10.1145/3067695.3076020
rosati_elise_2018_ED269 Design tools for the engineering of biological systems
EliseRosati.html
https___tel.archives-ouvertes.fr_tel-01829464 https://tel.archives-ouvertes.fr/tel-01829464
https___tel.archives-ouvertes.fr_tel-01829464_file_rosati_elise_2018_ED269.pdf https://tel.archives-ouvertes.fr/tel-01829464/file/rosati_elise_2018_ED269.pdf
https___tel.archives-ouvertes.fr_tel-01829464_document https://tel.archives-ouvertes.fr/tel-01829464/document
Rosca:1994:larGP Learning by adapting representations in genetic programming
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http___dx.doi.org_10.1109_ICEC.1994.349916 http://dx.doi.org/10.1109/ICEC.1994.349916
Rosca94 Genetic Programming with Adaptive Representations
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Rosca:1994:hsoGP Hierarchical Self-Organization in Genetic Programming
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https___www.sciencedirect.com_science_article_pii_B9781558603356500386 https://www.sciencedirect.com/science/article/pii/B9781558603356500386
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Rosca:1995:GPexpdf Genetic Programming Exploratory Power and the Discovery of Functions
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Rosca:1995:aHGP An Analysis of Hierarchical Genetic Programming
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rosca:1995:ml Proceedings of the Workshop on Genetic Programming: From Theory to Real-World Applications
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rosca:1995:entropy Entropy-Driven Adaptive Representation
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rosca:1999:aigp3 Rooted-Tree Schemata in Genetic Programming
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rosca:1999:fogp Genetic Programming Acquires Solutions by Combining Top-Down and Bottom-Up Refinement
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rose:1999:L Logic-based genetic programming with definite clause translation grammars
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rose:thesis Robust Interactive Dialogue Interpretation
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rose:1999:aigp3 A Genetic Programming Approach For Robust Language Interpretation
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Rosenfeld:2022:WIVACE EGSGP: an Ensemble System Based on Geometric Semantic GeneticProgramming
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Roshanzamir:2019:ICCKE Tasks Decomposition for Improvement of Genetic Network Programming
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ROSHANZAMIR:2019:swarm Graph structure optimization of Genetic Network Programming with ant colony mechanism in deterministic and stochastic environments
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Roshanzamir:GPEM Efficiency improvement of genetic network programming by tasks decomposition in different types of environments
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MaziarPalhang.html
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Roshanzamir:2021:CANDO-EPE Genetic Programming for optimization of CAD detection process
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rosin:2000:cecfcasa Combining Evolutionary, Connectionist, and Fuzzy Classification Algorithms for Shape Amalysis
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ross:1998:ecp The Evolution of Concurrent Programs
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ross:1998:pscGPicp Pairwise Sequence Comparison and the Genetic Programming of Iterative Concurrent Programs
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ross:1999:LGPDCTG Logic-based Genetic Programming with Definite Clause Translation Grammars
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ross:1999:P Probabilistic pattern matching and the evolution of stochastic regular expressions
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Ross2000 The Evolution of Concurrent Systems
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oai:CiteSeerPSU:250158 The Effects of Randomly Sampled Training Data on Program Evolution
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BRoss:2000:GECCO The Effects of Randomly Sampled Training Data on Program Evolution
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oai:CiteSeerPSU:503706 Evolving Protein Motifs Using a Stochastic Regular Language with Codon-Level Probabilities
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oai:CiteSeerPSU:561669 Searching for Search Algorithms: Experiments in Meta-search
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ross:2004:NGC Procedural Texture Evolution Using Multiobjective Optimization
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oai:CiteSeerPSU:369249 Automatic Mineral Identification Using Genetic Programming
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ross:2001:gecco The Evaluation of a Stochastic Regular Motif Language for Protein Sequences
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ross:2002:ngc The Evolution of Stochastic Regular Motifs for Protein Sequences
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ross:2002:mva Automatic Mineral Identification Using Genetic Programming
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ross2:2002:geccoTR Hyperspectral Image Analysis Using Genetic Programming
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ross2:2002:gecco Hyperspectral Image Analysis Using Genetic Programming
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ross:2005:ASC Hyperspectral image analysis using genetic programming
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Ross:2006:CEC Evolutionary Image Synthesis Using a Model of Aesthetics
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DBLP:conf/gecco/RossI09 Evolving stochastic processes using feature tests and genetic programming
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Ross:2011:GPEM The evolution of higher-level biochemical reaction models
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Ross:2015:ieeeCIBCB Using multi-objective genetic programming to evolve stochastic logic gate circuits
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http___dx.doi.org_10.1109_CIBCB.2015.7300283 http://dx.doi.org/10.1109/CIBCB.2015.7300283
ross:1996:vesaGP Variations in Evolution of Subsumption Architectures Using Genetic Programming: The Wall Following Robot Revisited
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rossi:2001:wsc6 An Application of Genetic Programming to Electronic Design Automation: from Frequency Specifications to VHDL Code
RobertoRossi.html
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AndreaGBTettamanzi.html
http___mago.crema.unimi.it_pub_RossiLiberaliTettamanzi2001.pdf http://mago.crema.unimi.it/pub/RossiLiberaliTettamanzi2001.pdf
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http___citeseer.ist.psu.edu_539343.html http://citeseer.ist.psu.edu/539343.html
http___www.amazon.co.uk_Soft-Computing-Industry-Recent-Applications_dp_1852335394 http://www.amazon.co.uk/Soft-Computing-Industry-Recent-Applications/dp/1852335394
rosskopf+feldkamp+banzhaf:2003:gecco:workshop Classification of Leukemia Classes by GP-based DNA-Chip Analysis
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WolfgangBanzhaf.html
http___www.cs.uni-duesseldorf.de_NewMA_Personen_entry_44_Dokumente_rosskopf2003.pdf http://www.cs.uni-duesseldorf.de/NewMA/Personen/entry_44/Dokumente/rosskopf2003.pdf
Rostami:2017:JML Toward genetic programming (GP) approach for estimation of hydrocarbon/water interfacial tension
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MahdiKalantariMeybodi.html
AlirezaBahadori.html
http___dx.doi.org_10.1016_j.molliq.2016.11.099 http://dx.doi.org/10.1016/j.molliq.2016.11.099
http___www.sciencedirect.com_science_article_pii_S0167732216314222 http://www.sciencedirect.com/science/article/pii/S0167732216314222
Rostami:2017:CERD Genetic programming (GP) approach for prediction of supercritical CO2 thermal conductivity
AliRezaRezghiRostami.html
MiladArabloo.html
HojatollahEbadi.html
http___dx.doi.org_10.1016_j.cherd.2017.02.028 http://dx.doi.org/10.1016/j.cherd.2017.02.028
http___www.sciencedirect.com_science_article_pii_S0263876217301247 http://www.sciencedirect.com/science/article/pii/S0263876217301247
ROSTAMI:2019:Fuel Rigorous prognostication of permeability of heterogeneous carbonate oil reservoirs: Smart modeling and correlation development
AliRezaRezghiRostami.html
AlirezaBaghban.html
AmirHMohammadi.html
AbdolhosseinHemmati-Sarapardeh.html
SajjadHabibzadeh.html
http___dx.doi.org_10.1016_j.fuel.2018.08.136 http://dx.doi.org/10.1016/j.fuel.2018.08.136
http___www.sciencedirect.com_science_article_pii_S0016236118315060 http://www.sciencedirect.com/science/article/pii/S0016236118315060
GeneticDesignTR A Genetic Methodology for Configuration Design
GeraldPRoston.html
https___www.ri.cmu.edu_publications_genetic-methodology-for-configuration-design_ https://www.ri.cmu.edu/publications/genetic-methodology-for-configuration-design/
http___www.ri.cmu.edu_pub_files_pub2_roston_gerald_1994_1_roston_gerald_1994_1.pdf http://www.ri.cmu.edu/pub_files/pub2/roston_gerald_1994_1/roston_gerald_1994_1.pdf
roston:1995:gdmsc A Genetic Design Methodology for Stucture Configuration
GeraldPRoston.html
RobertHSturgesJr.html
roston:1996:scdgdn Using the Genetic Design Methodology for Structure Configuration
GeraldPRoston.html
RobertHSturgesJr.html
http___dx.doi.org_10.1111_j.1467-8667.1996.tb00321.x http://dx.doi.org/10.1111/j.1467-8667.1996.tb00321.x
Rotar:2014:synasc Central Dogma of Molecular Biology: New Paradigm in Natural Computing
CorinaRotar.html
http___dx.doi.org_10.1109_SYNASC.2014.46 http://dx.doi.org/10.1109/SYNASC.2014.46
rothermich:2002:gecco:lbp Studying the Emergence of Multicellularity with Cartesian Genetic Programming in Artificial Life
JosephARothermich.html
JulianFMiller.html
Rothermich:2002:ukci Studying the Emergence of Multicellularity with Cartesian Genetic Programming in Artificial Life
JosephARothermich.html
JulianFMiller.html
http___www.elec.york.ac.uk_intsys_users_jfm7_ukci02.pdf http://www.elec.york.ac.uk/intsys/users/jfm7/ukci02.pdf
rothlauf:1999:TA Tree network design with genetic algorithms - An investigation in the locality of the pruefernumber encoding
FranzRothlauf.html
DavidEGoldberg.html
https___www.blogs.uni-mainz.de_fb03-wi-isym_files_2020_01_pruefernumber.pdf https://www.blogs.uni-mainz.de/fb03-wi-isym/files/2020/01/pruefernumber.pdf
rothlauf:2005:GECCO:lbp Late breaking paper at Genetic and Evolutionary Computation Conference (GECCO'2005)
FranzRothlauf.html
http___gpbib.cs.ucl.ac.uk_gecco2005lbp_ http://gpbib.cs.ucl.ac.uk/gecco2005lbp/
rothlauf:2005:wp11 On the Locality of Grammatical Evolution
FranzRothlauf.html
MarieCarolineOetzel.html
http___wifo1.bwl.uni-mannheim.de_fileadmin_files_publications_workingpaper-locality.pdf http://wifo1.bwl.uni-mannheim.de/fileadmin/files/publications/workingpaper-locality.pdf
eurogp06:RothlaufOetzel On the Locality of Grammatical Evolution
FranzRothlauf.html
MarieCarolineOetzel.html
http___dx.doi.org_10.1007_11729976_29 http://dx.doi.org/10.1007/11729976_29
Rothlauf:2011:DMH.cp7 High Locality Representations for Automated Programming
FranzRothlauf.html
http___dx.doi.org_10.1007_978-3-540-72962-4_7 http://dx.doi.org/10.1007/978-3-540-72962-4_7
Rothlauf:2011:GECCOcomp Representations for evolutionary algorithms
FranzRothlauf.html
http___dx.doi.org_10.1145_2001858.2002132 http://dx.doi.org/10.1145/2001858.2002132
Rothlauf:2014:GECCOcomp Representations for evolutionary algorithms
FranzRothlauf.html
http___doi.acm.org_10.1145_2598394.2605340 http://doi.acm.org/10.1145/2598394.2605340
http___dx.doi.org_10.1145_2598394.2605340 http://dx.doi.org/10.1145/2598394.2605340
Rothlauf:2015:GECCOcomp Representations for Evolutionary Algorithms
FranzRothlauf.html
http___doi.acm.org_10.1145_2739482.2756593 http://doi.acm.org/10.1145/2739482.2756593
http___dx.doi.org_10.1145_2739482.2756593 http://dx.doi.org/10.1145/2739482.2756593
Rothlauf:2016:GECCOcomp Representations for Evolutionary Algorithms
FranzRothlauf.html
http___dx.doi.org_10.1145_2908961.2926981 http://dx.doi.org/10.1145/2908961.2926981
Rothlauf:2019:GECCOcomp Representations for evolutionary algorithms
FranzRothlauf.html
http___dx.doi.org_10.1145_3319619.3323376 http://dx.doi.org/10.1145/3319619.3323376
Rothlauf:2020:GECCOcomp Representations for Evolutionary Algorithms
FranzRothlauf.html
https___doi.org_10.1145_3377929.3389872 https://doi.org/10.1145/3377929.3389872
http___dx.doi.org_10.1145_3377929.3389872 http://dx.doi.org/10.1145/3377929.3389872
Rotovnik:2011:IJCM On the models of cross-linking efficiency of cotton cellulose obtained by genetic programming
MajaCevnik.html
MiranBrezocnik.html
OliveraSauperl.html
JanezZerovnik.html
http___eprints.pascal-network.org_archive_00008682_ http://eprints.pascal-network.org/archive/00008682/
https___www.novapublishers.com_catalog_product_info.php_products_id_24752 https://www.novapublishers.com/catalog/product_info.php?products_id=24752
Rouhipour:2010:ICES Systemic Computation Using Graphics Processors
MarjanRouhipour.html
PeterJBentley.html
HoomanShayani.html
http___dx.doi.org_10.1007_978-3-642-15323-5_11 http://dx.doi.org/10.1007/978-3-642-15323-5_11
Roushangar:2014:JH Modeling energy dissipation over stepped spillways using machine learning approaches
KiyoumarsRoushangar.html
SamiraAkhgar.html
FarzinSalmasi.html
JalalShiri.html
http___dx.doi.org_10.1016_j.jhydrol.2013.10.053 http://dx.doi.org/10.1016/j.jhydrol.2013.10.053
http___www.sciencedirect.com_science_article_pii_S002216941300797X http://www.sciencedirect.com/science/article/pii/S002216941300797X
Roushangar:2014:JH2 Evaluation of genetic programming-based models for simulating friction factor in alluvial channels
KiyoumarsRoushangar.html
DominiqueMouaze.html
JalalShiri.html
http___dx.doi.org_10.1016_j.jhydrol.2014.06.047 http://dx.doi.org/10.1016/j.jhydrol.2014.06.047
http___www.sciencedirect.com_science_article_pii_S0022169414005071 http://www.sciencedirect.com/science/article/pii/S0022169414005071
engelbrecht:2000:SFUDTBBESCD Searching the Forest: Using Decision Trees as Building Blocks for Evolutionary Search in Classification Databases
SonjaERouwhorst.html
AndriesPEngelbrecht.html
http___dx.doi.org_10.1109_CEC.2000.870357 http://dx.doi.org/10.1109/CEC.2000.870357
Roux:2000:ants Ant Programming: Or How to Use Ants for Automatic Programming
OliverRoux.html
CyrilFonlupt.html
http___www-lil.univ-littoral.fr__fonlupt_Recherche_Publi_ants2000.ps.gz http://www-lil.univ-littoral.fr/~fonlupt/Recherche/Publi/ants2000.ps.gz
roux:tel-00008597 Memory in ants colony algorithms : applications to optimization and automatic programming
OlivierRoux.html
https___tel.archives-ouvertes.fr_tel-00008597_file_tel-00008597.pdf https://tel.archives-ouvertes.fr/tel-00008597/file/tel-00008597.pdf
https___tel.archives-ouvertes.fr_tel-00008597 https://tel.archives-ouvertes.fr/tel-00008597
rovito:2022:AS An Evolutionary Computation Approach for Twitter Bot Detection
LuigiRovito.html
LorenzoBonin.html
LucaManzoni.html
AndreaDeLorenzo.html
https___www.mdpi.com_2076-3417_12_12_5915 https://www.mdpi.com/2076-3417/12/12/5915
http___dx.doi.org_10.3390_app12125915 http://dx.doi.org/10.3390/app12125915
rovito:2023:GECCOcomp Evolution of Walsh Transforms with Genetic Programming
LuigiRovito.html
AndreaDeLorenzo.html
LucaManzoni.html
http___dx.doi.org_10.1145_3583133.3596317 http://dx.doi.org/10.1145/3583133.3596317
Rowe01 The effects of crossover and mutation operators on variable length linear structures
JonathanERowe.html
NicholasFreitagMcPhee.html
ftp___ftp.cs.bham.ac.uk_pub_tech-reports_2001_CSRP-01-07.ps.gz ftp://ftp.cs.bham.ac.uk/pub/tech-reports/2001/CSRP-01-07.ps.gz
rowe:2001:GECCO The effects of crossover and mutation operators on variable length linear structures
JonathanERowe.html
NicholasFreitagMcPhee.html
http___gpbib.cs.ucl.ac.uk_gecco2001_d03b.pdf http://gpbib.cs.ucl.ac.uk/gecco2001/d03b.pdf
rowland:2002:adisabgp Adaptive Denoising in Spectral Analysis by Genetic Programming
JemJRowland.html
JanetTaylor.html
http___dx.doi.org_10.1109_CEC.2002.1006222 http://dx.doi.org/10.1109/CEC.2002.1006222
rowland:2003:ECB Interpreting Analytic Spectra with Evolutionary Computation
JemJRowland.html
http___www.amazon.co.uk_Evolutionary-Computation-Bioinformatics-Artificial-Intelligence_dp_1558607978 http://www.amazon.co.uk/Evolutionary-Computation-Bioinformatics-Artificial-Intelligence/dp/1558607978
rowland:2003:BS Model selection methodology in supervised learning with evolutionary computation
JemJRowland.html
http___www.sciencedirect.com_science_article_B6T2K-49N9DN6-2_2_0d63ebb7904ac33ae0d20ce4f6477a57 http://www.sciencedirect.com/science/article/B6T2K-49N9DN6-2/2/0d63ebb7904ac33ae0d20ce4f6477a57
http___dx.doi.org_10.1016_S0303-2647_03_00143-6 http://dx.doi.org/10.1016/S0303-2647(03)00143-6
rowland:2004:ogpakditd On Genetic Programming and Knowledge Discovery in Transcriptome Data
JemJRowland.html
http___dx.doi.org_10.1109_CEC.2004.1330852 http://dx.doi.org/10.1109/CEC.2004.1330852
rowley:1994:tkvGP A Toolkit for Visual Genetic Programming
TimothyRowley.html
http___www.geom.umn.edu__trowley_genetic_report.ps.gz http://www.geom.umn.edu/~trowley/genetic/report.ps.gz
Roy:2008:IDETC/CIE Genetic Programming of an Artificial Neural Network for Robust Control of a 2-D Path Following Robot
AnthonyMRoy.html
ErikKAntonsson.html
AndrewAShapiro.html
http___dx.doi.org_10.1115_DETC2008-50137 http://dx.doi.org/10.1115/DETC2008-50137
DBLP:conf/gecco/RoyAS09 An investigation into the structure of genomes within an evolution that uses embryogenesis
AnthonyMRoy.html
ErikKAntonsson.html
AndrewAShapiro.html
http___dx.doi.org_10.1145_1570256.1570290 http://dx.doi.org/10.1145/1570256.1570290
AnthonyMRoy:thesis Neuro-evolution using recombinational algorithms and embryogenesis for robotic control
AnthonyMRoy.html
http___thesis.library.caltech.edu_5944_ http://thesis.library.caltech.edu/5944/
http___thesis.library.caltech.edu_5944_1_main.pdf http://thesis.library.caltech.edu/5944/1/main.pdf
http___dx.doi.org_10.7907_YNED-VN66 http://dx.doi.org/10.7907/YNED-VN66
Roy:2015:hbgpa Application of GFA-MLR and G/PLS Techniques in QSAR/QSPR Studies with Application in Medicinal Chemistry and Predictive Toxicology
ParthaPratimRoy.html
SupratimRay.html
KunalRoy.html
http___dx.doi.org_10.1007_978-3-319-20883-1_20 http://dx.doi.org/10.1007/978-3-319-20883-1_20
Roy:2012:ICECE Self-adaptive genetically programmed differential evolution
PravakarRoy.html
MdJahidulIslam.html
MdMonirulIslam.html
http___dx.doi.org_10.1109_ICECE.2012.6471631 http://dx.doi.org/10.1109/ICECE.2012.6471631
roy:2022:NH Genetic programming for prediction of heat stress hazard in underground coal mine environment
SiddharthaRoy.html
DeviPrasadMishra.html
RamMadhabBhattacharjee.html
HemantAgrawal.html
http___link.springer.com_article_10.1007_s11069-022-05478-6 http://link.springer.com/article/10.1007/s11069-022-05478-6
http___dx.doi.org_10.1007_s11069-022-05478-6 http://dx.doi.org/10.1007/s11069-022-05478-6
Roy:2015:AE Development and validation of a GEP model to predict the performance and exhaust emission parameters of a CRDI assisted single cylinder diesel engine coupled with EGR
SumitRoy.html
AshmitaGhosh.html
AjoyKumarDas.html
ShriRahulBanerjee.html
http___dx.doi.org_10.1016_j.apenergy.2014.11.065 http://dx.doi.org/10.1016/j.apenergy.2014.11.065
http___www.sciencedirect.com_science_article_pii_S0306261914012343 http://www.sciencedirect.com/science/article/pii/S0306261914012343
Ruano:2003:NC Nonlinear identification of aircraft gas-turbine dynamics
AntonioERuano.html
PeterJFleming.html
CTeixeira.html
KatyaRodriguez-Vazquez.html
CarlosMFonseca.html
http___www.sciencedirect.com_science_article_B6V10-48R1XV3-1_2_afe6ee6ac5dca01715848cf8a5476846 http://www.sciencedirect.com/science/article/B6V10-48R1XV3-1/2/afe6ee6ac5dca01715848cf8a5476846
http___dx.doi.org_10.1016_S0925-2312_03_00393-X http://dx.doi.org/10.1016/S0925-2312(03)00393-X
RUANOORDAS:2018:IPM Using evolutionary computation for discovering spam patterns from e-mail samples
DavidRuano-Ordas.html
FlorentinoFdez-Riverola.html
JoseRMendez.html
http___dx.doi.org_10.1016_j.ipm.2017.12.001 http://dx.doi.org/10.1016/j.ipm.2017.12.001
http___www.sciencedirect.com_science_article_pii_S0306457317303047 http://www.sciencedirect.com/science/article/pii/S0306457317303047
ruberto:2014:EuroGP ESAGP -- A Semantic GP Framework Based on Alignment in the Error Space
StefanoRuberto.html
LeonardoVanneschi.html
MauroCastelli.html
SaraSilva.html
http___dx.doi.org_10.1007_978-3-662-44303-3_13 http://dx.doi.org/10.1007/978-3-662-44303-3_13
Ruberto_thesis Genetic Programming with Semantic Equivalence Classes
StefanoRuberto.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_Ruberto_thesis.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/Ruberto_thesis.pdf
RUBERTO:2019:SEC Genetic programming with semantic equivalence classes
StefanoRuberto.html
LeonardoVanneschi.html
MauroCastelli.html
http___dx.doi.org_10.1016_j.swevo.2018.06.001 http://dx.doi.org/10.1016/j.swevo.2018.06.001
http___www.sciencedirect.com_science_article_pii_S2210650216300384 http://www.sciencedirect.com/science/article/pii/S2210650216300384
Ruberto:2020:EuroGP SGP-DT: Semantic Genetic Programming Based on Dynamic Targets
StefanoRuberto.html
ValerioTerragni.html
JasonHMoore.html
https___valerio65.github.io_assets_pdf_ruberto-eurogp-2020.pdf https://valerio65.github.io/assets/pdf/ruberto-eurogp-2020.pdf
http___dx.doi.org_10.1007_978-3-030-44094-7_11 http://dx.doi.org/10.1007/978-3-030-44094-7_11
https___www.youtube.com_watch_v_xOz8BVqsHGY https://www.youtube.com/watch?v=xOz8BVqsHGY
Ruberto:2020:GECCOcomp SGP-DT: Towards Effective Symbolic Regression with a Semantic GP Approach Based on Dynamic Targets
StefanoRuberto.html
ValerioTerragni.html
JasonHMoore.html
https___valerio65.github.io_assets_pdf_ruberto-gecco-hop-2020.pdf https://valerio65.github.io/assets/pdf/ruberto-gecco-hop-2020.pdf
https___doi.org_10.1145_3377929.3397486 https://doi.org/10.1145/3377929.3397486
http___dx.doi.org_10.1145_3377929.3397486 http://dx.doi.org/10.1145/3377929.3397486
Ruberto:2020:GECCOcompa Image Feature Learning with a Genetic Programming Autoencoder
StefanoRuberto.html
ValerioTerragni.html
JasonHMoore.html
https___valerio65.github.io_assets_pdf_ruberto-gecco-2020.pdf https://valerio65.github.io/assets/pdf/ruberto-gecco-2020.pdf
https___doi.org_10.1145_3377929.3389981 https://doi.org/10.1145/3377929.3389981
http___dx.doi.org_10.1145_3377929.3389981 http://dx.doi.org/10.1145/3377929.3389981
Ruberto:2020:PPSN Image Feature Learning with Genetic Programming
StefanoRuberto.html
ValerioTerragni.html
JasonHMoore.html
https___valerio65.github.io_assets_pdf_ruberto-ppsn-2020.pdf https://valerio65.github.io/assets/pdf/ruberto-ppsn-2020.pdf
http___dx.doi.org_10.1007_978-3-030-58115-2_5 http://dx.doi.org/10.1007/978-3-030-58115-2_5
Ruberto:2021:GECCO Towards Effective GP Multi-Class Classification Based on Dynamic Targets
StefanoRuberto.html
ValerioTerragni.html
JasonHMoore.html
http___dx.doi.org_10.1145_3449639.3459324 http://dx.doi.org/10.1145/3449639.3459324
Ruberto:GPEM A semantic genetic programming framework based on dynamic targets
StefanoRuberto.html
ValerioTerragni.html
JasonHMoore.html
https___rdcu.be_cy6pf https://rdcu.be/cy6pf
http___dx.doi.org_10.1007_s10710-021-09419-3 http://dx.doi.org/10.1007/s10710-021-09419-3
DBLP:conf/gecco/RubiniHS09 Evolution of team composition in multi-agent systems
JoshuaRubini.html
RobertBHeckendorn.html
TerenceSoule.html
http___dx.doi.org_10.1145_1569901.1570045 http://dx.doi.org/10.1145/1569901.1570045
rubinstein:2000:EQCGP Evolving Quantum Circuits using Genetic Programming
BenIPRubinstein.html
http___www.cs.berkeley.edu__benr_publications_stanford00.pdf http://www.cs.berkeley.edu/~benr/publications/stanford00.pdf
http___citeseer.ist.psu.edu_543423.html http://citeseer.ist.psu.edu/543423.html
rubinstein:2001:eqcgp Evolving Quantum Circuits using Genetic Programming
BenIPRubinstein.html
http___www.cs.berkeley.edu__benr_publications_cec01.pdf http://www.cs.berkeley.edu/~benr/publications/cec01.pdf
http___dx.doi.org_10.1109_CEC.2001.934383 http://dx.doi.org/10.1109/CEC.2001.934383
Rubliauskas:2004:ITC Parse Tree Position Measuring in Distributed Genetic Programming
DaliusRubliauskas.html
GiedriusPaulikas.html
BronislovasKilda.html
http___www.itc.ktu.lt_index.php_ITC_article_view_11847 http://www.itc.ktu.lt/index.php/ITC/article/view/11847
Rueda:2019:Energies Generalised Regression Hypothesis Induction for Energy Consumption Forecasting
RamonRuedaDelgado.html
ManuelPegalajarCuellar.html
MiguelMolina-Solana.html
Yi-KeGuo.html
MariadelCarmenPegalajarJimenez.html
https___spiral.imperial.ac.uk_bitstream_10044_1_67867_5_energies-12-01069.pdf https://spiral.imperial.ac.uk/bitstream/10044/1/67867/5/energies-12-01069.pdf
http___dx.doi.org_10.3390_en12061069 http://dx.doi.org/10.3390/en12061069
RUEDA:2020:IJAR An Ant Colony Optimization approach for symbolic regression using Straight Line Programs. Application to energy consumption modelling
RamonRuedaDelgado.html
LGBRuiz.html
ManuelPegalajarCuellar.html
MariadelCarmenPegalajarJimenez.html
http___dx.doi.org_10.1016_j.ijar.2020.03.005 http://dx.doi.org/10.1016/j.ijar.2020.03.005
http___www.sciencedirect.com_science_article_pii_S0888613X19303408 http://www.sciencedirect.com/science/article/pii/S0888613X19303408
RUEDA:2019:ASC Straight line programs for energy consumption modelling
RamonRuedaDelgado.html
ManuelPegalajarCuellar.html
MariadelCarmenPegalajarJimenez.html
MiguelDelgadoCalvo-Flores.html
http___dx.doi.org_10.1016_j.asoc.2019.04.001 http://dx.doi.org/10.1016/j.asoc.2019.04.001
http___www.sciencedirect.com_science_article_pii_S1568494619301796 http://www.sciencedirect.com/science/article/pii/S1568494619301796
RUEDA:2022:ESA A similarity measure for Straight Line Programs and its application to control diversity in Genetic Programming
RamonRuedaDelgado.html
ManuelPegalajarCuellar.html
LGBRuiz.html
MariadelCarmenPegalajarJimenez.html
http___dx.doi.org_10.1016_j.eswa.2021.116415 http://dx.doi.org/10.1016/j.eswa.2021.116415
https___www.sciencedirect.com_science_article_pii_S0957417421017024 https://www.sciencedirect.com/science/article/pii/S0957417421017024
Ruhang:2019:IJBCRM Identifying housing market expectation transformation: an agent-based housing market testbed
XuRuhang.html
LiuZhilin.html
http___www.inderscience.com_link.php_id_98803 http://www.inderscience.com/link.php?id=98803
http___dx.doi.org_10.1504_IJBCRM.2019.098803 http://dx.doi.org/10.1504/IJBCRM.2019.098803
Ruihua:2003:PADM Genetic programming for partial discharge feature construction in large generator diagnosis
LiRuihua.html
XieHengkun.html
GaoNaikui.html
ShiWeixiang.html
http___dx.doi.org_10.1109_ICPADM.2003.1218401 http://dx.doi.org/10.1109/ICPADM.2003.1218401
Ruijun:2021:ICIIBMS Research on Industrial Control Network Security Based on Automatic Machine Learning
YangRuijun.html
HeLijun.html
HuXueqi.html
ZhangBin.html
http___dx.doi.org_10.1109_ICIIBMS52876.2021.9651616 http://dx.doi.org/10.1109/ICIIBMS52876.2021.9651616
Ruiz-Villalobos:Thesis Efficient Communication Protocols for ad hoc Networks
GraciaPatriciaRuizVillalobos.html
https___orbilu.uni.lu_bitstream_10993_15623_1_Ruiz_20Villalobos-_20Thesis.pdf https://orbilu.uni.lu/bitstream/10993/15623/1/Ruiz%20Villalobos-%20Thesis.pdf
https___orbilu.uni.lu_handle_10993_15623 https://orbilu.uni.lu/handle/10993/15623
http___hdl.handle.net_10993_15623 http://hdl.handle.net/10993/15623
Rukovansky:2011:FSKD Optimization of the throughput of computer network based on Transplant Evolution
IRukovansky.html
RomanWeisser.html
http___dx.doi.org_10.1109_FSKD.2011.6020030 http://dx.doi.org/10.1109/FSKD.2011.6020030
Rukovansky:2009:WCECS Optimization of the Throughput of Computer Network Based on Parallel EA
IRukovansky.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.452.6352 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.452.6352
http___www.iaeng.org_publication_WCECS2009_WCECS2009_pp1038-1043.pdf http://www.iaeng.org/publication/WCECS2009/WCECS2009_pp1038-1043.pdf
DBLP:conf/gecco/Runka09 Evolving an edge selection formula for ant colony optimization
AndrewRunka.html
http___dx.doi.org_10.1145_1569901.1570046 http://dx.doi.org/10.1145/1569901.1570046
Ruotsalainen:2013:CEC Reasoning Logical Rules from Multisensor Data for Lifecycle Management of Aircraft Structures
MarjaRuotsalainen.html
JuhaJylha.html
AriVisa.html
http___dx.doi.org_10.1109_CEC.2013.6557964 http://dx.doi.org/10.1109/CEC.2013.6557964
Ruotsalainen:2016:ieeeIS Minimizing Fatigue Damage in Aircraft Structures
MarjaRuotsalainen.html
JuhaJylha.html
AriVisa.html
http___dx.doi.org_10.1109_MIS.2016.23 http://dx.doi.org/10.1109/MIS.2016.23
ruotsalainen:2017:CEC Learning of a tracker model from multi-radar data for performance prediction of air surveillance system
MarjaRuotsalainen.html
JuhaJylha.html
http___dx.doi.org_10.1109_CEC.2017.7969562 http://dx.doi.org/10.1109/CEC.2017.7969562
Rush:1994:ecRob Evolving co-operation in autonomous robotic systems
JRRush.html
AdamFraser.html
DPBarnes.html
http___scitation.aip.org_getpdf_servlet_GetPDFServlet_filetype_pdf_id_IEECPS0019940CP389000995000001.pdf http://scitation.aip.org/getpdf/servlet/GetPDFServlet?filetype=pdf&id=IEECPS0019940CP389000995000001.pdf
http___scitation.aip.org_getabs_servlet_GetabsServlet_prog_normal_id_IEECPS0019940CP389000995000001_idtype_cvips_gifs_yes http://scitation.aip.org/getabs/servlet/GetabsServlet?prog=normal&id=IEECPS0019940CP389000995000001&idtype=cvips&gifs=yes
http___dx.doi.org_10.1049_cp_19940270 http://dx.doi.org/10.1049/cp:19940270
russell:2023:GECCOcomp A Selection Hyper-Heuristic for Transfer Learning in Genetic Programming
JeffreyRussell.html
NelishiaPillay.html
http___dx.doi.org_10.1145_3583133.3590686 http://dx.doi.org/10.1145/3583133.3590686
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RUSSO:2018:ESA Knowledge discovery in multiobjective optimization problems in engineering via Genetic Programming
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ryan:book Automatic Re-engineering of Software Using Genetic Programming
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ryan:2000:paragen1 Paragen - The first results
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ryan:2000:IS Genetic programming tools have the answers
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Ryan:2003:GP Genetic Programming, Proceedings of the 6th European Conference, EuroGP 2003
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ryan03a Sensible Initialisation in Chorus
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ryan03b An Analysis of Diversity of Constants of Genetic Programming
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ryan2:2003:gecco On the Avoidance of Fruitless Wraps in Grammatical Evolution
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Ryan:ACB:gecco2004 A Competitive Building Block Hypothesis
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Ryan:2010:geccocomp Grammatical evolution tutorial
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Ryan:2013:GPTP Grounded Simulation: Using Simulated Evolution to Guide Embodied Evolution
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Ryan:2017:GPEM A rebuttal to Whigham, Dick, and Maclaurin by one of the inventors of Grammatical Evolution: Commentary on ``On the Mapping of Genotype to Phenotype in Evolutionary Algorithms'' by Peter A. Whigham, Grant Dick, and James Maclaurin
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Ryan:2018:hbge Handbook of Grammatical Evolution
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DBLP:conf/icaart/RyanKCJ20 GETS: Grammatical Evolution based Optimization of Smoothing Parameters in Univariate Time Series Forecasting
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conf/ijcci/RyanTD20 Behavioural Modelling of Digital Circuits in System Verilog using Grammatical Evolution
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Ryan:2022:SciRep Design of a cryptographically secure pseudo random number generator with grammatical evolution
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journals/procedia/RyanH11 Robust Gene Expression Programming
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Ryerkerk:GPEM:metameric A survey of evolutionary algorithms using metameric representations
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rylander:2000:OG On GP complexity
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rylander:2001:EuroGP Computational Complexity, Genetic Programming, and Implications
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rylander:2001:gecco Quantum Evolutionary Programming
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https___www.researchgate.net_profile_Patricia_Ryser-Welch_publication_321867825_Evolving_comprehensible_and_scalable_solvers_using_CGP_for_solving_some_real-world_inspired_problems_links_5a366b1945851532e83025db_Evolving-comprehensible-and-scalable-solvers-using-CGP-for-solving-some-real-world-inspired-problems.pdf https://www.researchgate.net/profile/Patricia_Ryser-Welch/publication/321867825_Evolving_comprehensible_and_scalable_solvers_using_CGP_for_solving_some_real-world_inspired_problems/links/5a366b1945851532e83025db/Evolving-comprehensible-and-scalable-solvers-using-CGP-for-solving-some-real-world-inspired-problems.pdf
ryu:1996:MASSON MASSON: Discovering Commonalities in Collection of Objects using Genetic Programming
Tae-WanRyu.html
ChristophFEick.html
http___cognet.mit.edu_sites_default_files_books_9780262315876_pdfs_9780262315876_chap24.pdf http://cognet.mit.edu/sites/default/files/books/9780262315876/pdfs/9780262315876_chap24.pdf
http___cognet.mit.edu_library_books_view_isbn_0262611279 http://cognet.mit.edu/library/books/view?isbn=0262611279
ryu:1996:dqeGP Deriving Queries From Examples Using Genetic Programming
Tae-WanRyu.html
ChristophFEick.html
http___www.cs.uh.edu__ceick_masson_kdd96.ps http://www.cs.uh.edu/~ceick/masson/kdd96.ps
http___www.aaai.org_Press_Proceedings_kdd96.php http://www.aaai.org/Press/Proceedings/kdd96.php
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.541.1268 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.541.1268
https___www.aaai.org_Papers_KDD_1996_KDD96-053.pdf https://www.aaai.org/Papers/KDD/1996/KDD96-053.pdf
oai:xtcat.oclc.org:OCLCNo/ocm42996482 Discovery of characteristic knowledge in databases using cluster analysis and genetic programming
Tae-WanRyu.html
http___search.proquest.com_docview_304438390 http://search.proquest.com/docview/304438390
oai:CiteSeerPSU:190072 Discovering Discriminant Characteristic Queries from Databases through Clustering
Tae-WanRyu.html
ChristophFEick.html
http___www.cs.uh.edu__ceick_masson_csi-98.ps http://www.cs.uh.edu/~ceick/masson/csi-98.ps
http___citeseer.ist.psu.edu_190072.html http://citeseer.ist.psu.edu/190072.html
oai:CiteSeerPSU:45760 Automated Discovery of Discriminant Rules for a Group of Objects in Databases
Tae-WanRyu.html
ChristophFEick.html
http___citeseer.ist.psu.edu_cache_papers_cs_2250_http_zSzzSzwww.cs.uh.eduzSz_twryuzSzpaperszSzconald-98.pdf_ryu98automated.pdf http://citeseer.ist.psu.edu/cache/papers/cs/2250/http:zSzzSzwww.cs.uh.eduzSz~twryuzSzpaperszSzconald-98.pdf/ryu98automated.pdf
http___citeseer.ist.psu.edu_45760.html http://citeseer.ist.psu.edu/45760.html
Sa:2008:gecco Evolutionary synthesis of low-sensitivity equalizers using adjacency matrix representation
LeonardoBrunodeSa.html
AntonioCarneirodeMesquitaFilho.html
http___gpbib.cs.ucl.ac.uk_gecco2008_docs_p1283.pdf http://gpbib.cs.ucl.ac.uk/gecco2008/docs/p1283.pdf
http___dx.doi.org_10.1145_1389095.1389342 http://dx.doi.org/10.1145/1389095.1389342
Saad:2018:JIFS Gene expression programming (GEP) based intelligent model for high performance concrete comprehensive strength analysis
SyedSaad.html
HMalik.html
http___dx.doi.org_10.3233_JIFS-169822 http://dx.doi.org/10.3233/JIFS-169822
Sabar:2013:ieeeTEC Grammatical Evolution Hyper-Heuristic for Combinatorial Optimization Problems
NasserRSabar.html
MasriAyob.html
GrahamKendall.html
RongQu.html
http___dx.doi.org_10.1109_TEVC.2013.2281527 http://dx.doi.org/10.1109/TEVC.2013.2281527
Sabar:2014:ieeeTEC The Automatic Design of Hyper-heuristic Framework with Gene Expression Programming for Combinatorial Optimization problems
NasserRSabar.html
MasriAyob.html
GrahamKendall.html
RongQu.html
http___dx.doi.org_10.1109_TEVC.2014.2319051 http://dx.doi.org/10.1109/TEVC.2014.2319051
journals/tcyb/SabarAKQ15 A Dynamic Multiarmed Bandit-Gene Expression Programming Hyper-Heuristic for Combinatorial Optimization Problems
NasserRSabar.html
MasriAyob.html
GrahamKendall.html
RongQu.html
http___dx.doi.org_10.1109_TCYB.2014.2323936 http://dx.doi.org/10.1109/TCYB.2014.2323936
journals/tec/SabarAKQ15 Automatic Design of a Hyper-Heuristic Framework With Gene Expression Programming for Combinatorial Optimization Problems
NasserRSabar.html
MasriAyob.html
GrahamKendall.html
RongQu.html
http___dx.doi.org_10.1109_TEVC.2014.2319051 http://dx.doi.org/10.1109/TEVC.2014.2319051
Sabar:2016:GECCO Grammatical Evolution Enhancing Simulated Annealing for the Load Balancing Problem in Cloud Computing
NasserRSabar.html
AndySong.html
http___dx.doi.org_10.1145_2908812.2908861 http://dx.doi.org/10.1145/2908812.2908861
Sabar:2018:GECCO A genetic programming based iterated local search for software project scheduling
NasserRSabar.html
AyadMashaanTurky.html
AndySong.html
http___dx.doi.org_10.1145_3205455.3205557 http://dx.doi.org/10.1145/3205455.3205557
Saber:2018:EuroGP Multi-Level Grammar Genetic Programming for Scheduling in Heterogeneous Networks
TakfarinasSaber.html
DavidFagan.html
DavidLynch.html
StepanKucera.html
HolgerClaussen.html
MichaelO'Neill.html
http___dx.doi.org_10.1007_978-3-319-77553-1_8 http://dx.doi.org/10.1007/978-3-319-77553-1_8
Saber:2018:TPNC A Hierarchical Approach to Grammar-Guided Genetic Programming: The case of Scheduling in Heterogeneous Networks
TakfarinasSaber.html
DavidFagan.html
DavidLynch.html
StepanKucera.html
HolgerClaussen.html
MichaelO'Neill.html
http___dx.doi.org_10.1007_978-3-030-04070-3 http://dx.doi.org/10.1007/978-3-030-04070-3
Saber:GPEM A multi-level grammar approach to grammar-guided genetic programming: the case of scheduling in heterogeneous networks
TakfarinasSaber.html
DavidFagan.html
DavidLynch.html
StepanKucera.html
HolgerClaussen.html
MichaelO'Neill.html
http___dx.doi.org_10.1007_s10710-019-09346-4 http://dx.doi.org/10.1007/s10710-019-09346-4
Saber:2020:CEC Hierarchical Grammar-Guided Genetic Programming Techniques for Scheduling in Heterogeneous Networks
TakfarinasSaber.html
DavidLynch.html
DavidFagan.html
StepanKucera.html
HolgerClaussen.html
MichaelO'Neill.html
http___dx.doi.org_10.1109_CEC48606.2020.9185636 http://dx.doi.org/10.1109/CEC48606.2020.9185636
Saber:2020:CEC2 Evolving Better Rerouting Surrogate Travel Costs with Grammar-Guided Genetic Programming
TakfarinasSaber.html
ShenWang.html
http___dx.doi.org_10.1109_CEC48606.2020.9185764 http://dx.doi.org/10.1109/CEC48606.2020.9185764
saberi:2022:Polymers Developing Equations for Free Vibration Parameters of Bistable Composite Plates Using Multi-Objective Genetic Programming
SaeidSaberi.html
AlirezaSadatHosseini.html
FatemehYazdanifar.html
SaulloGPCastro.html
https___www.mdpi.com_2073-4360_14_8_1559 https://www.mdpi.com/2073-4360/14/8/1559
http___dx.doi.org_10.3390_polym14081559 http://dx.doi.org/10.3390/polym14081559
Sabeti2009263 Entropy and complexity measures for EEG signal classification of schizophrenic and control participants
MaliheSabeti.html
SerajeddinKatebi.html
RezaBoostani.html
http___dx.doi.org_10.1016_j.artmed.2009.03.003 http://dx.doi.org/10.1016/j.artmed.2009.03.003
http___www.sciencedirect.com_science_article_B6T4K-4W5VD7D-1_2_e0544c622bf428467d21d81a8257be7b http://www.sciencedirect.com/science/article/B6T4K-4W5VD7D-1/2/e0544c622bf428467d21d81a8257be7b
Sabeti20112063 A new approach for EEG signal classification of schizophrenic and control participants
MaliheSabeti.html
SerajeddinKatebi.html
RezaBoostani.html
GregWPrice.html
http___dx.doi.org_10.1016_j.eswa.2010.07.145 http://dx.doi.org/10.1016/j.eswa.2010.07.145
SACHINDRA:2018:AR Statistical downscaling of precipitation using machine learning techniques
DASachindra.html
KAhmed.html
MohammadMamunurRashid.html
ShamsuddinShahid.html
ChrisPerera.html
http___dx.doi.org_10.1016_j.atmosres.2018.05.022 http://dx.doi.org/10.1016/j.atmosres.2018.05.022
http___www.sciencedirect.com_science_article_pii_S0169809517310141 http://www.sciencedirect.com/science/article/pii/S0169809517310141
sachindra:2019:SERRA Machine learning for downscaling: the use of parallel multiple populations in genetic programming
DASachindra.html
SKanae.html
http___link.springer.com_article_10.1007_s00477-019-01721-y http://link.springer.com/article/10.1007/s00477-019-01721-y
http___dx.doi.org_10.1007_s00477-019-01721-y http://dx.doi.org/10.1007/s00477-019-01721-y
sachindra:2019:TAC Pros and cons of using wavelets in conjunction with genetic programming and generalised linear models in statistical downscaling of precipitation
DASachindra.html
KAhmed.html
MohammadMamunurRashid.html
VSehgal.html
ShamsuddinShahid.html
ChrisPerera.html
http___link.springer.com_article_10.1007_s00704-019-02848-2 http://link.springer.com/article/10.1007/s00704-019-02848-2
http___dx.doi.org_10.1007_s00704-019-02848-2 http://dx.doi.org/10.1007/s00704-019-02848-2
sadat-noori:2019:EES Groundwater level prediction using genetic programming: the importance of precipitation data and weather station location on model accuracy
MahmoodSadat-Noori.html
WilliamGlamore.html
DanialKhojasteh.html
http___link.springer.com_article_10.1007_s12665-019-8776-0 http://link.springer.com/article/10.1007/s12665-019-8776-0
http___dx.doi.org_10.1007_s12665-019-8776-0 http://dx.doi.org/10.1007/s12665-019-8776-0
SADATHOSSEINI:2021:CBM Genetic programming to formulate viscoelastic behavior of modified asphalt binder
AlirezaSadatHosseini.html
PouriaHajikarimi.html
MostafaGandomi.html
FereidoonMoghaddasNejad.html
AHGandomi.html
http___dx.doi.org_10.1016_j.conbuildmat.2021.122954 http://dx.doi.org/10.1016/j.conbuildmat.2021.122954
https___www.sciencedirect.com_science_article_pii_S0950061821007145 https://www.sciencedirect.com/science/article/pii/S0950061821007145
Sadeghi:2020:RE Thermal characteristics of evacuated tube solar collectors with coil inside: An experimental study and evolutionary algorithms
GholamabbasSadeghi.html
MohammadNajafzadeh.html
MehranAmeri.html
http___www.sciencedirect.com_science_article_pii_S0960148119317379 http://www.sciencedirect.com/science/article/pii/S0960148119317379
http___www.sciencedirect.com_science_article_pii_S0960148119317379 http://www.sciencedirect.com/science/article/pii/S0960148119317379
http___dx.doi.org_10.1016_j.renene.2019.11.050 http://dx.doi.org/10.1016/j.renene.2019.11.050
SADEGHSAFARI:2020:cleaner Invasive weed optimization algorithm-based adaptive neuro-fuzzy inference system hybrid model for sediment transport with a bed deposit
MirJafarSadeghSafari.html
BabakMohammadi.html
KatayounKargar.html
http___dx.doi.org_10.1016_j.jclepro.2020.124267 http://dx.doi.org/10.1016/j.jclepro.2020.124267
http___www.sciencedirect.com_science_article_pii_S0959652620343122 http://www.sciencedirect.com/science/article/pii/S0959652620343122
oai:arXiv.org:1303.3757 Generating efficient quantum circuits for preparing maximally multipartite entangled states
PrzemyslawSadowski.html
http___arxiv.org_abs_1303.3757 http://arxiv.org/abs/1303.3757
Saenz:2009:sh Eureqa - Software to Replace Scientists
AaronSaenz.html
http___singularityhub.com_2009_12_17_eureqa-software-to-replace-scientists_ http://singularityhub.com/2009/12/17/eureqa-software-to-replace-scientists/
Saetrom:2005:RNA Weighted sequence motifs as an improved seeding step in microRNA target prediction algorithms
OlaSaetrom.html
OlaSnoveJr.html
PalSaetrom.html
http___dx.doi.org_10.1261_rna.7290705 http://dx.doi.org/10.1261/rna.7290705
DBLP:conf/icmla/SaetromH03 Mining Interesting Temporal Rules with Genetic Programming and Specialized Hardware
PalSaetrom.html
MagnusLieHetland.html
http___hetland.org_research_2003_icmla2003.pdf http://hetland.org/research/2003/icmla2003.pdf
Saetrom:2004:BBRC A comparison of siRNA efficacy predictors
PalSaetrom.html
OlaSnoveJr.html
http___www.sciencedirect.com_science_article_B6WBK-4CW546Y-S_2_1c4d9091ea50571084790a39c8ff0b81 http://www.sciencedirect.com/science/article/B6WBK-4CW546Y-S/2/1c4d9091ea50571084790a39c8ff0b81
http___dx.doi.org_10.1016_j.bbrc.2004.06.116 http://dx.doi.org/10.1016/j.bbrc.2004.06.116
Saetrom:2004:BI Predicting the efficacy of short oligonucleotides in antisense and RNAi experiments with boosted genetic programming
PalSaetrom.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.612.5977 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.612.5977
http___bioinformatics.oxfordjournals.org_content_20_17_3055.full.pdf http://bioinformatics.oxfordjournals.org/content/20/17/3055.full.pdf
http___dx.doi.org_10.1093_bioinformatics_bth364 http://dx.doi.org/10.1093/bioinformatics/bth364
drphil-satrom-05 Hardware accelerated genetic programming for pattern mining in strings
PalSaetrom.html
http___www.idi.ntnu.no_grupper_su_publ_phd_drphil-satrom-05.pdf http://www.idi.ntnu.no/grupper/su/publ/phd/drphil-satrom-05.pdf
oai:pubmedcentral.gov:1143698 Predicting non-coding RNA genes in Escherichia coli with boosted genetic programming
PalSaetrom.html
RagnhildSneve.html
KnutIvanKristiansen.html
OlaSnoveJr.html
ThomasGrunfeld.html
TorbjornRognes.html
ErlingSeeberg.html
http___nar.oxfordjournals.org_cgi_reprint_33_10_3263.pdf http://nar.oxfordjournals.org/cgi/reprint/33/10/3263.pdf
http___www.pubmedcentral.gov_articlerender.fcgi_artid_1143698 http://www.pubmedcentral.gov/articlerender.fcgi?artid=1143698
http___www.pubmedcentral.gov_picrender.fcgi_artid_1143698_blobtype_pdf http://www.pubmedcentral.gov/picrender.fcgi?artid=1143698&blobtype=pdf
http___dx.doi.org_10.1093_nar_gki644 http://dx.doi.org/10.1093/nar/gki644
Saetrom:2006:GPTP Boosting improves stability and accuracy of genetic programming in biological classification
PalSaetrom.html
OlafReneBirkeland.html
OlaSnoveJr.html
http___dx.doi.org_10.1007_978-0-387-49650-4_5 http://dx.doi.org/10.1007/978-0-387-49650-4_5
Saetrom200725 Robust Machine Learning Algorithms Predict MicroRNA Genes and Targets
PalSaetrom.html
OlaSnoveJr.html
http___dx.doi.org_10.1016_S0076-6879_07_27002-8 http://dx.doi.org/10.1016/S0076-6879(07)27002-8
http___www.sciencedirect.com_science_article_B7CV2-4PGY39X-2_2_b5dbc8edf791a8a25436462482a18d53 http://www.sciencedirect.com/science/article/B7CV2-4PGY39X-2/2/b5dbc8edf791a8a25436462482a18d53
SAEZ:2019:ASC Evolutionary hash functions for specific domains
YagoSaez.html
CesarEstebanez.html
DavidQuintanaMontero.html
PedroIsasiVinuela.html
http___dx.doi.org_10.1016_j.asoc.2019.02.014 http://dx.doi.org/10.1016/j.asoc.2019.02.014
http___www.sciencedirect.com_science_article_pii_S1568494619300742 http://www.sciencedirect.com/science/article/pii/S1568494619300742
Safari-Mamaghani:ieeeFUZZ Genetic-Programming based Architecture of Fuzzy Modeling: Towards Coping with High-dimensional Data
AliSafariMamaghani.html
WitoldPedrycz.html
http___dx.doi.org_10.1109_TFUZZ.2020.3006993 http://dx.doi.org/10.1109/TFUZZ.2020.3006993
SAFARI2018 Multigene genetic programming for sediment transport modeling in sewers for conditions of non-deposition with a bed deposit
MirJafarSadeghSafari.html
AliDanandehMehr.html
http___www.sciencedirect.com_science_article_pii_S1001627917300252 http://www.sciencedirect.com/science/article/pii/S1001627917300252
http___dx.doi.org_10.1016_j.ijsrc.2018.04.007 http://dx.doi.org/10.1016/j.ijsrc.2018.04.007
Safaryan:2013:IJACSA Recognition of Objects by Using Genetic Programming
NersesSafaryan.html
HakobGSarukhanyan.html
http___thesai.org_Downloads_Volume4No12_Paper_19-Recognition_of_Objects_by_Using_Genetic_Programming.pdf http://thesai.org/Downloads/Volume4No12/Paper_19-Recognition_of_Objects_by_Using_Genetic_Programming.pdf
http___dx.doi.org_10.14569_IJACSA.2013.041219 http://dx.doi.org/10.14569/IJACSA.2013.041219
journals/asc/SafarzadehZB17 Comparative Assessment of the Hybrid Genetic Algorithm-Artificial Neural Network and Genetic Programming Methods for the Prediction of Longitudinal Velocity Field around a Single Straight Groyne
AkbarSafarzadeh.html
AmirHosseinZaji.html
HosseinBonakdari.html
http___dx.doi.org_10.1016_j.asoc.2017.06.048 http://dx.doi.org/10.1016/j.asoc.2017.06.048
Safavi:2017:AISP Gene expression programming with a local search operator
AsgharAmirSafavi.html
ManoochehrKelarestaghi.html
FarshadEshghi.html
http___dx.doi.org_10.1109_AISP.2017.8324106 http://dx.doi.org/10.1109/AISP.2017.8324106
Safikou:2023:ACC Symbolic Regression for Fault Prognosis and Remaining Useful Life Estimation*
EfstathiaSafikou.html
GeorgeMBollas.html
http___dx.doi.org_10.23919_ACC55779.2023.10156572 http://dx.doi.org/10.23919/ACC55779.2023.10156572
safiri:2002:VLSI A New Algorithm for the Elimination of Common Subexpressions in Hardware Implementation of Digital Filters by Using Genetic Programming
HSafiri.html
MAhmadi.html
GAJullien.html
WCMiller.html
http___link.springer.com_article_10.1023_A_3A1015385120447 http://link.springer.com/article/10.1023/A%3A1015385120447
http___dx.doi.org_10.1023_A_1015385120447 http://dx.doi.org/10.1023/A:1015385120447
SAFIYULLAH:2018:Energy Prediction on performance degradation and maintenance of centrifugal gas compressors using genetic programming
FSafiyullah.html
ShaharinAnwarbinSulaiman.html
MYNaz.html
MSJasmani.html
SMAGhazali.html
http___dx.doi.org_10.1016_j.energy.2018.06.051 http://dx.doi.org/10.1016/j.energy.2018.06.051
http___www.sciencedirect.com_science_article_pii_S0360544218311162 http://www.sciencedirect.com/science/article/pii/S0360544218311162
SAGHAFI:2018:JPSE Development of genetic programming (GP) models for gas condensate compressibility factor determination below dew point pressure
HamidRezaSaghafi.html
MiladArabloo.html
http___dx.doi.org_10.1016_j.petrol.2018.08.020 http://dx.doi.org/10.1016/j.petrol.2018.08.020
http___www.sciencedirect.com_science_article_pii_S0920410518306867 http://www.sciencedirect.com/science/article/pii/S0920410518306867
SAGHAFI:2019:JPSE Evolving new strategies to estimate reservoir oil formation volume factor: Smart modeling and correlation development
HamidRezaSaghafi.html
AliRezaRezghiRostami.html
MiladArabloo.html
http___dx.doi.org_10.1016_j.petrol.2019.06.044 http://dx.doi.org/10.1016/j.petrol.2019.06.044
http___www.sciencedirect.com_science_article_pii_S0920410519305935 http://www.sciencedirect.com/science/article/pii/S0920410519305935
Saghiri:2017:GPEM A closed asynchronous dynamic model of cellular learning automata and its application to peer-to-peer networks
AliMohammadSaghiri.html
MohammadRezaMeybodi.html
http___dx.doi.org_10.1007_s10710-017-9299-7 http://dx.doi.org/10.1007/s10710-017-9299-7
DBLP:conf/seal/SahCDB08 Comparison between Genetic Algorithm and Genetic Programming Performance for Photomosaic Generation
ShahrulBadariahMatSah.html
VictorCiesielski.html
DarylJD'Souza.html
MarshaBerry.html
http___dx.doi.org_10.1007_978-3-540-89694-4_27 http://dx.doi.org/10.1007/978-3-540-89694-4_27
Sah:2010:EvoMUSART Refinement Techniques for Animated Evolutionary Photomosaics using Limited Tile Collections
ShahrulBadariahMatSah.html
VictorCiesielski.html
DarylJD'Souza.html
http___dx.doi.org_10.1007_978-3-642-12242-2_29 http://dx.doi.org/10.1007/978-3-642-12242-2_29
Saha:2013:HOST Model building attacks on Physically Unclonable Functions using genetic programming
IndrasishSaha.html
RatanRahulJeldi.html
RajatSubhraChakraborty.html
http___dx.doi.org_10.1109_HST.2013.6581563 http://dx.doi.org/10.1109/HST.2013.6581563
sahani:2017:KSCEjce Service levels of sidewalks for pedestrians under mixed traffic environment using Genetic Programming clustering
RimaSahani.html
AbhishekOjha.html
PrasantaKumarBhuyan.html
http___link.springer.com_article_10.1007_s12205-017-0042-y http://link.springer.com/article/10.1007/s12205-017-0042-y
http___dx.doi.org_10.1007_s12205-017-0042-y http://dx.doi.org/10.1007/s12205-017-0042-y
Sahin:2011:EuroGP Random Lines: A Novel Population Set-based Evolutionary Global Optimization Algorithm
IsmetSahin.html
http___dx.doi.org_10.1007_978-3-642-20407-4_9 http://dx.doi.org/10.1007/978-3-642-20407-4_9
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ArzuSencanSahin.html
ErkanDikmen.html
SametSenturk.html
http___link.springer.com_article_10.1007_s00521-018-3349-9 http://link.springer.com/article/10.1007/s00521-018-3349-9
http___dx.doi.org_10.1007_s00521-018-3349-9 http://dx.doi.org/10.1007/s00521-018-3349-9
SAHOO:2023:measen Faulty diagnostics model in e-commerce using AI
AshokKumarSahoo.html
SampadaGulavani.html
ManikaManwal.html
RaniMedidha.html
ThupakulaBhaskar.html
ManoharaM.html
http___dx.doi.org_10.1016_j.measen.2022.100634 http://dx.doi.org/10.1016/j.measen.2022.100634
https___www.sciencedirect.com_science_article_pii_S2665917422002689 https://www.sciencedirect.com/science/article/pii/S2665917422002689
sahu:2022:IJSAEM A hybrid approach to software fault prediction using genetic programming and ensemble learning methods
SatyaPrakashSahu.html
BRamachandraReddy.html
DevMukherjee.html
DMShyamla.html
BhimSinghVerma.html
http___link.springer.com_article_10.1007_s13198-021-01532-x http://link.springer.com/article/10.1007/s13198-021-01532-x
http___dx.doi.org_10.1007_s13198-021-01532-x http://dx.doi.org/10.1007/s13198-021-01532-x
Said:2022:CEC Interval-based Cost-sensitive Classification Tree Induction as a Bi-level Optimization Problem
RihabSaid.html
MahaElarbi.html
SlimBechikh.html
CarlosArtemioCoelloCoello.html
LamjedBenSaid.html
http___dx.doi.org_10.1109_CEC55065.2022.9870424 http://dx.doi.org/10.1109/CEC55065.2022.9870424
SAIDANI:2020:IST Predicting continuous integration build failures using evolutionary search
IslemSaidani.html
AliOuni.html
MoatazChouchen.html
MohamedWiemMkaouer.html
http___dx.doi.org_10.1016_j.infsof.2020.106392 http://dx.doi.org/10.1016/j.infsof.2020.106392
http___www.sciencedirect.com_science_article_pii_S0950584920301579 http://www.sciencedirect.com/science/article/pii/S0950584920301579
Saied:2018:GECCO Towards the automated recovery of complex temporal API-usage patterns
MohamedAymenSaied.html
HouariSahraoui.html
EdouardBatot.html
MichalisFamelis.html
Pierre-OlivierTalbot.html
https___famelis.files.wordpress.com_2018_04_gecco18-cr.pdf https://famelis.files.wordpress.com/2018/04/gecco18-cr.pdf
http___dx.doi.org_10.1145_3205455.3205622 http://dx.doi.org/10.1145/3205455.3205622
SAIED2020106213 Towards assisting developers in API usage by automated recovery of complex temporal patterns
MohamedAymenSaied.html
ErickRaelijohn.html
EdouardBatot.html
MichalisFamelis.html
HouariSahraoui.html
http___www.sciencedirect.com_science_article_pii_S0950584918301642 http://www.sciencedirect.com/science/article/pii/S0950584918301642
http___dx.doi.org_10.1016_j.infsof.2019.106213 http://dx.doi.org/10.1016/j.infsof.2019.106213
Saigo:2014:IIAIAAI Concurrency Control Program Generation by Extending Nodes in Genetic Programming
TatsuyaSaigo.html
ShinjiTamura.html
TeruhisaHochin.html
HirokiNomiya.html
http___dx.doi.org_10.1109_IIAI-AAI.2014.149 http://dx.doi.org/10.1109/IIAI-AAI.2014.149
Saini:2019:GPTP Using Modularity Metrics as Design Features to Guide Evolution in Genetic Programming
AnilKumarSaini.html
LeeSpector.html
http___dx.doi.org_10.1007_978-3-030-39958-0_9 http://dx.doi.org/10.1007/978-3-030-39958-0_9
Saini:2019:GECCOcompa Modularity metrics for genetic programming
AnilKumarSaini.html
LeeSpector.html
http___dx.doi.org_10.1145_3319619.3326908 http://dx.doi.org/10.1145/3319619.3326908
Saini:2020:EuroGP Effect of Parent Selection Methods on Modularity
AnilKumarSaini.html
LeeSpector.html
https___www.youtube.com_watch_v_qYmPiSicQ1Y https://www.youtube.com/watch?v=qYmPiSicQ1Y
http___dx.doi.org_10.1007_978-3-030-44094-7_12 http://dx.doi.org/10.1007/978-3-030-44094-7_12
Saini:2020:GECCOcomp Why and When Are Loops Useful in Genetic Programming?
AnilKumarSaini.html
LeeSpector.html
https___doi.org_10.1145_3377929.3389919 https://doi.org/10.1145/3377929.3389919
http___dx.doi.org_10.1145_3377929.3389919 http://dx.doi.org/10.1145/3377929.3389919
Saini:2021:GPTP Evolving and Analyzing Modularity with GLEAM (Genetic Learning by Extraction and Absorption of Modules)
AnilKumarSaini.html
LeeSpector.html
http___dx.doi.org_10.1007_978-981-16-8113-4_10 http://dx.doi.org/10.1007/978-981-16-8113-4_10
Saini:2021:GECCOcomp GLEAM: Genetic Learning by Extraction and Absorption of Modules
AnilKumarSaini.html
LeeSpector.html
http___dx.doi.org_10.1145_3449726.3459544 http://dx.doi.org/10.1145/3449726.3459544
Saini:GPEM Relationships between parent selection methods, looping constructs, and success rate in genetic programming
AnilKumarSaini.html
LeeSpector.html
https___rdcu.be_cyKGq https://rdcu.be/cyKGq
http___dx.doi.org_10.1007_s10710-021-09417-5 http://dx.doi.org/10.1007/s10710-021-09417-5
saini:2022:GECCOcomp Environments with Local Scopes for Modules in Genetic Programming
AnilKumarSaini.html
LeeSpector.html
ThomasHelmuth.html
http___dx.doi.org_10.1145_3520304.3528958 http://dx.doi.org/10.1145/3520304.3528958
https___vimeo.com_726049119 https://vimeo.com/726049119
Saitou:2000:GECCOlb A Genetic Programming Framework for Error Recovery in Robotic Assembly Systems
KazuhiroSaitou.html
CemMBaydar.html
http___citeseer.ist.psu.edu_cache_papers_cs_26330_http_zSzzSzwww-personal.engin.umich.eduzSz_cbaydarzSzGECCO2000.pdf_baydar00genetic.pdf http://citeseer.ist.psu.edu/cache/papers/cs/26330/http:zSzzSzwww-personal.engin.umich.eduzSz~cbaydarzSzGECCO2000.pdf/baydar00genetic.pdf
http___citeseer.ist.psu.edu_535952.html http://citeseer.ist.psu.edu/535952.html
Sajjadi:2016:EB Extreme learning machine for prediction of heat load in district heating systems
ShahinSajjadi.html
ShahaboddinShamshirband.html
MeysamAlizamir.html
PorLipYee.html
ZulkefliMansor.html
AzizahAbdulManaf.html
TorkiAAltameem.html
AliMostafaeipour.html
http___dx.doi.org_10.1016_j.enbuild.2016.04.021 http://dx.doi.org/10.1016/j.enbuild.2016.04.021
http___www.sciencedirect.com_science_article_pii_S0378778816302766 http://www.sciencedirect.com/science/article/pii/S0378778816302766
Sakai:2010:ieee-fuzz Acquisition of robot control rules by evolving MDDs
MasashiSakai.html
YutaroTomoto.html
MasayoshiKanoh.html
TsuyoshiNakamura.html
HidenoriItoh.html
http___dx.doi.org_10.1109_FUZZY.2010.5584043 http://dx.doi.org/10.1109/FUZZY.2010.5584043
Sakamoto:2000:GI Identifying Gene Regulatory Network as Differential Equation by Genetic Programming
ErinaSakamoto.html
HitoshiIba.html
http___www.jsbi.org_journal_GIW00_GIW00P024.pdf http://www.jsbi.org/journal/GIW00/GIW00P024.pdf
http___www.jsbi.org_journal1_gi11_ http://www.jsbi.org/journal1/gi11/
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.208.9467 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.208.9467
sakamoto:2001:isdegrngp Inferring a System of Differential Equations for a Gene Regulatory Network by using Genetic Programming
ErinaSakamoto.html
HitoshiIba.html
http___www.miv.t.u-tokyo.ac.jp_ibalab_papers_2001_cec2001-es.pdf http://www.miv.t.u-tokyo.ac.jp/ibalab/papers/2001/cec2001-es.pdf
http___citeseer.ist.psu.edu_484086.html http://citeseer.ist.psu.edu/484086.html
http___dx.doi.org_10.1109_CEC.2001.934462 http://dx.doi.org/10.1109/CEC.2001.934462
sakanashi:1996:ICES Evolution of binary decision diagrams for digital circuit design using genetic programming
HidenoriSakanashi.html
TetsuyaHiguchi.html
HitoshiIba.html
YukinoriKakazu.html
http___link.springer.com_chapter_10.1007_3-540-63173-9_66 http://link.springer.com/chapter/10.1007/3-540-63173-9_66
http___dx.doi.org_10.1007_3-540-63173-9_66 http://dx.doi.org/10.1007/3-540-63173-9_66
sakhaei:2022:EwC A new formulation for non-equilibrium capillarity effect using multi-gene genetic programming (MGGP): accounting for fluid and porous media properties
ZahraSakhaei.html
EhsanNikooee.html
MasoudRiazi.html
http___link.springer.com_article_10.1007_s00366-020-01109-5 http://link.springer.com/article/10.1007/s00366-020-01109-5
http___dx.doi.org_10.1007_s00366-020-01109-5 http://dx.doi.org/10.1007/s00366-020-01109-5
Sakprasat:2007:cec Classification Rule Mining for Automatic Credit Approval Using Genetic Programming
SumSakprasat.html
MarkCSinclair.html
http___dx.doi.org_10.1109_CEC.2007.4424518 http://dx.doi.org/10.1109/CEC.2007.4424518
Sakr:2010:ieeeHaptics Exploring the underlying structure of haptic-based handwritten signatures using visual data mining techniques
NizarSakr.html
FawazAAlsulaiman.html
JulioJValdes.html
AbdulmotalebElSaddik.html
NicolasDGeorganas.html
http___dx.doi.org_10.1109_HAPTIC.2010.5444614 http://dx.doi.org/10.1109/HAPTIC.2010.5444614
conf/evoW/SaksM08 Genetic Programming in Statistical Arbitrage
PhilipSaks.html
DietmarGMaringer.html
http___dx.doi.org_10.1007_978-3-540-78761-7_8 http://dx.doi.org/10.1007/978-3-540-78761-7_8
Saks:thesis Evolutionary Computation in Financial Decision Making
PhilipSaks.html
http___ethos.bl.uk_OrderDetails.do_uin_uk.bl.ethos.495562 http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.495562
saks:evows09 Evolutionary Money Management
PhilipSaks.html
DietmarGMaringer.html
http___dx.doi.org_10.1007_978-3-642-01129-0_20 http://dx.doi.org/10.1007/978-3-642-01129-0_20
Sakthivel20121574 Soft computing approach to fault diagnosis of centrifugal pump
NRSakthivel.html
BinoyBNair.html
VSugumaran.html
http___dx.doi.org_10.1016_j.asoc.2011.12.009 http://dx.doi.org/10.1016/j.asoc.2011.12.009
http___www.sciencedirect.com_science_article_pii_S1568494611004935 http://www.sciencedirect.com/science/article/pii/S1568494611004935
Salahuddin:2010:ICCAIE Object categorization using Cartesian Genetic Programming (CGP) and CGP-Evolved Artificial Neural Network
SumayyeaSalahuddin.html
MaryamMahsalKhan.html
http___dx.doi.org_10.1109_ICCAIE.2010.5735073 http://dx.doi.org/10.1109/ICCAIE.2010.5735073
Salajka:2012:ACMSlovakia Polymorphic Image Filters
VojtechSalajka.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.295.4183 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.295.4183
http___acmbulletin.fiit.stuba.sk_vol4num4_salajka.pdf http://acmbulletin.fiit.stuba.sk/vol4num4/salajka.pdf
DBLP:conf/ifip5-7/SalamaKFK20 Automatic Design of Dispatching Rules with Genetic Programming for Dynamic Job Shop Scheduling
ShadySalama.html
ToshiyaKaihara.html
NobutadaFujii.html
DaisukeKokuryo.html
https___doi.org_10.1007_978-3-030-57993-7_45 https://doi.org/10.1007/978-3-030-57993-7_45
http___dx.doi.org_10.1007_978-3-030-57993-7_45 http://dx.doi.org/10.1007/978-3-030-57993-7_45
https___dblp.org_rec_conf_ifip5-7_SalamaKFK20.bib https://dblp.org/rec/conf/ifip5-7/SalamaKFK20.bib
DBLP:journals/ijat/SalamaKFK22 Multi-Objective Approach with a Distance Metric in Genetic Programming for Job Shop Scheduling
ShadySalama.html
ToshiyaKaihara.html
NobutadaFujii.html
DaisukeKokuryo.html
https___doi.org_10.20965_ijat.2022.p0296 https://doi.org/10.20965/ijat.2022.p0296
http___dx.doi.org_10.20965_ijat.2022.p0296 http://dx.doi.org/10.20965/ijat.2022.p0296
https___dblp.org_rec_journals_ijat_SalamaKFK22.bib https://dblp.org/rec/journals/ijat/SalamaKFK22.bib
DBLP:journals/ijpr/SalamaKFK22 A novel feature selection for evolving compact dispatching rules using genetic programming for dynamic job shop scheduling
ShadySalama.html
ToshiyaKaihara.html
NobutadaFujii.html
DaisukeKokuryo.html
https___doi.org_10.1080_00207543.2022.2053603 https://doi.org/10.1080/00207543.2022.2053603
http___dx.doi.org_10.1080_00207543.2022.2053603 http://dx.doi.org/10.1080/00207543.2022.2053603
https___dblp.org_rec_journals_ijpr_SalamaKFK22.bib https://dblp.org/rec/journals/ijpr/SalamaKFK22.bib
SALAMI:2021:CBM Data-driven model for ternary-blend concrete compressive strength prediction using machine learning approach
BabatundeAbiodunSalami.html
TeslimOlayiwola.html
TajudeenAOyehan.html
IshaqARaji.html
http___dx.doi.org_10.1016_j.conbuildmat.2021.124152 http://dx.doi.org/10.1016/j.conbuildmat.2021.124152
https___www.sciencedirect.com_science_article_pii_S0950061821019127 https://www.sciencedirect.com/science/article/pii/S0950061821019127
Salcedo-Sanz:2005:COR Genetic programming for the prediction of insolvency in non-life insurance companies
SanchoSalcedo-Sanz.html
Jose-LuisFernandez-VillacanasMartin.html
MariaJesusSegovia-Vargas.html
CarlosBousono-Calzon.html
http___www.sciencedirect.com_science_article_B6VC5-49PYKV6-3_2_ea8a7b2d639b4cadb419cb9acf2a1352 http://www.sciencedirect.com/science/article/B6VC5-49PYKV6-3/2/ea8a7b2d639b4cadb419cb9acf2a1352
http___dx.doi.org_10.1016_j.cor.2003.08.015 http://dx.doi.org/10.1016/j.cor.2003.08.015
Salehi-Abari:2008:gecco Enhanced generalized ant programming (EGAP)
AmiraliSalehi-Abari.html
TonyWhite.html
http___gpbib.cs.ucl.ac.uk_gecco2008_docs_p111.pdf http://gpbib.cs.ucl.ac.uk/gecco2008/docs/p111.pdf
http___doi.acm.org_10.1145_1389095.1389111 http://doi.acm.org/10.1145/1389095.1389111
conf/ijcci/Salehi-AbariW09 The Uphill Battle of Ant Programming Vs. Genetic Programming
AmiraliSalehi-Abari.html
TonyWhite.html
http___www.cs.toronto.edu__abari_papers_UphillBattle.pdf http://www.cs.toronto.edu/~abari/papers/UphillBattle.pdf
SALEM:2022:jmsy Multi-objective optimization and innovization-based knowledge discovery of sustainable machining process
AmrSalem.html
HussienHegab.html
ShahryarRahnamayan.html
HossamAKishawy.html
http___dx.doi.org_10.1016_j.jmsy.2022.04.013 http://dx.doi.org/10.1016/j.jmsy.2022.04.013
https___www.sciencedirect.com_science_article_pii_S0278612522000644 https://www.sciencedirect.com/science/article/pii/S0278612522000644
Salem:2015:ICENCO Gene expression profiles based Human cancer diseases classification
HanaaSalem.html
GamalMahrousAliAttiya.html
NawalAhmedEl-Fishawy.html
http___dx.doi.org_10.1109_ICENCO.2015.7416345 http://dx.doi.org/10.1109/ICENCO.2015.7416345
Salem:2017:ASC Classification of human cancer diseases by gene expression profiles
HanaaSalem.html
GamalMahrousAliAttiya.html
NawalAhmedEl-Fishawy.html
http___dx.doi.org_10.1016_j.asoc.2016.11.026 http://dx.doi.org/10.1016/j.asoc.2016.11.026
http___www.sciencedirect.com_science_article_pii_S1568494616305956 http://www.sciencedirect.com/science/article/pii/S1568494616305956
journals/pacmhci/Salem17 User Interface Optimization Using Genetic Programming with an Application to Landing Pages
PauloSalem.html
http___doi.acm.org_10.1145_3099583 http://doi.acm.org/10.1145/3099583
http___dx.doi.org_10.1145_3099583 http://dx.doi.org/10.1145/3099583
Saletta:2022:CEC A Grammar-based Evolutionary Approach for Assessing Deep Neural Source Code Classifiers
MartinaSaletta.html
ClaudioFerretti.html
https___boa.unimib.it_retrieve_4756f95f-7a4e-4bb1-848d-01f1dc2c4f57_Saletta-2022-CEC2022-preprint.pdf https://boa.unimib.it/retrieve/4756f95f-7a4e-4bb1-848d-01f1dc2c4f57/Saletta-2022-CEC2022-preprint.pdf
http___dx.doi.org_10.1109_CEC55065.2022.9870317 http://dx.doi.org/10.1109/CEC55065.2022.9870317
SALGOTRA:2020:CSF Time Series Analysis and Forecast of the COVID-19 Pandemic in India using Genetic Programming
RohitSalgotra.html
MostafaGandomi.html
AHGandomi.html
https___www.ncbi.nlm.nih.gov_pmc_articles_PMC7260529_ https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7260529/
http___www.sciencedirect.com_science_article_pii_S0960077920303441 http://www.sciencedirect.com/science/article/pii/S0960077920303441
http___dx.doi.org_10.1016_j.chaos.2020.109945 http://dx.doi.org/10.1016/j.chaos.2020.109945
SALGOTRA:2020:CSFa Evolutionary modelling of the COVID-19 pandemic in fifteen most affected countries
RohitSalgotra.html
MostafaGandomi.html
AHGandomi.html
http___www.sciencedirect.com_science_article_pii_S0960077920305154 http://www.sciencedirect.com/science/article/pii/S0960077920305154
http___dx.doi.org_10.1016_j.chaos.2020.110118 http://dx.doi.org/10.1016/j.chaos.2020.110118
Salgotra:2021:ds4COVID-19 Time series analysis of the COVID-19 pandemic in Australia using genetic programming
RohitSalgotra.html
AHGandomi.html
https___www.ncbi.nlm.nih.gov_pmc_articles_PMC8137504_ https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8137504/
https___www.sciencedirect.com_science_article_pii_B9780128245361000368 https://www.sciencedirect.com/science/article/pii/B9780128245361000368
http___dx.doi.org_10.1016_B978-0-12-824536-1.00036-8 http://dx.doi.org/10.1016/B978-0-12-824536-1.00036-8
MMRG_salhi1996a Model Generation Using Genetic Programming
AbdelSalhi.html
HughGlaser.html
DavidDeRoure.html
http___eprints.ecs.soton.ac.uk_622_ http://eprints.ecs.soton.ac.uk/622/
http___dx.doi.org_10.1007_978-1-4471-1504-5_7 http://dx.doi.org/10.1007/978-1-4471-1504-5_7
http___dx.doi.org_10.1007_978-1-4471-1504-5_7 http://dx.doi.org/10.1007/978-1-4471-1504-5_7
Salhi:1996:MENDEL A Genetic Approach to Understanding Cooperative Behaviour
AbdelSalhi.html
HughGlaser.html
DavidDeRoure.html
https___eprints.soton.ac.uk_250621_ https://eprints.soton.ac.uk/250621/
DSSE-TR-97-3 Parallel Implementation of a Genetic-Programming based Tool for Symbolic Regression
AbdelSalhi.html
HughGlaser.html
DavidDeRoure.html
http___www.dsse.ecs.soton.ac.uk_techreports_95-03_1997_dsse-tr-97-3.ps.gz http://www.dsse.ecs.soton.ac.uk/techreports/95-03/1997/dsse-tr-97-3.ps.gz
http___www.dsse.ecs.soton.ac.uk_techreports_95-03_97-3.html http://www.dsse.ecs.soton.ac.uk/techreports/95-03/97-3.html
Salhi2014 Tailoring hyper-heuristics to specific instances of a scheduling problem using affinity and competence functions
AbdelSalhi.html
JoseAntonioVazquezRodriguez.html
http___dx.doi.org_10.1007_s12293-013-0121-7 http://dx.doi.org/10.1007/s12293-013-0121-7
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AbdelSalhi.html
HughGlaser.html
DavidDeRoure.html
http___www.sciencedirect.com_science_article_B6V0F-3TK6JGD-4_2_48a8b6e1a885dd8328279ccf06295a49 http://www.sciencedirect.com/science/article/B6V0F-3TK6JGD-4/2/48a8b6e1a885dd8328279ccf06295a49
http___dx.doi.org_10.1016_S0020-0190_98_00056-8 http://dx.doi.org/10.1016/S0020-0190(98)00056-8
SALIMI:2019:TUST Application of rock mass classification systems for performance estimation of rock TBMs using regression tree and artificial intelligence algorithms
AlirezaSalimi.html
JamalRostami.html
ChristianMoormann.html
http___dx.doi.org_10.1016_j.tust.2019.103046 http://dx.doi.org/10.1016/j.tust.2019.103046
http___www.sciencedirect.com_science_article_pii_S0886779819301622 http://www.sciencedirect.com/science/article/pii/S0886779819301622
Hilburg:2015:CISIS Using Grammatical Evolution Techniques to Model the Dynamic Power Consumption of Enterprise Servers
JuanCarlosSalinasHilburg.html
MarinaZapater.html
JoseLRisco-Martin.html
JoseMMoya.html
JoseLuisAyalaRodrigo.html
http___dx.doi.org_10.1109_CISIS.2015.16 http://dx.doi.org/10.1109/CISIS.2015.16
Salinas-Hilburg:thesis Rapid runtime power and performance profiling of large scale applications
JuanCarlosSalinasHilburg.html
https___produccioncientifica.ucm.es_documentos_61303681c705c256da91d961 https://produccioncientifica.ucm.es/documentos/61303681c705c256da91d961
https___eprints.ucm.es_id_eprint_67200_1_T42709.pdf https://eprints.ucm.es/id/eprint/67200/1/T42709.pdf
https___dialnet.unirioja.es_servlet_tesis_codigo_290572 https://dialnet.unirioja.es/servlet/tesis?codigo=290572
Salls:2020:CNS Exploring Abstraction Functions in Fuzzing
ChristopherSalls.html
AravindMachiry.html
AdamDoupe.html
YanShoshitaishvili.html
ChristopherKruegel.html
GiovanniVigna.html
http___dx.doi.org_10.1109_CNS48642.2020.9162273 http://dx.doi.org/10.1109/CNS48642.2020.9162273
salmasi:2013:AJGS Predicting discharge coefficient of compound broad-crested weir by using genetic programming (GP) and artificial neural network (ANN) techniques
FarzinSalmasi.html
GurolYildirim.html
AzamMasoodi.html
ParastooParsamehr.html
http___link.springer.com_article_10.1007_s12517-012-0540-7 http://link.springer.com/article/10.1007/s12517-012-0540-7
http___dx.doi.org_10.1007_s12517-012-0540-7 http://dx.doi.org/10.1007/s12517-012-0540-7
salmasi:2021:IJSTTCE Genetic Programming Approach for Estimating Energy Dissipation of Flow over Cascade Spillways
FarzinSalmasi.html
MohammadTaghiSattari.html
MortezaNurcheshmeh.html
http___link.springer.com_article_10.1007_s40996-020-00541-3 http://link.springer.com/article/10.1007/s40996-020-00541-3
http___dx.doi.org_10.1007_s40996-020-00541-3 http://dx.doi.org/10.1007/s40996-020-00541-3
Salpasaranis:2012:AOR A Hybrid Genetic Programming Method in Optimization and Forecasting: A Case Study of the Broadband Penetration in OECD Countries
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journals/advor/SalpasaranisSK14 Combining Diffusion Models and Macroeconomic Indicators with a Modified Genetic Programming Method: Implementation in Forecasting the Number of Mobile Telecommunications Subscribers in OECD Countries
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Salpasaranis:thesis Development of diffusion model for the broadband access penetration in information systems using evolutionary algorithms
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Salpasaranis_Stylianakis_2020 Forecasting Models of the Coronavirus (COVID-19) Cumulative Confirmed Cases Using a Hybrid Genetic Programming Method
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saltan:2005:IJEMS Comparative analysis of using artificial neural networks (ANN) and gene expression programming (GEP) in backcalculation of pavement layer thickness
MehmetSaltan.html
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Salustowicz:97ecj Probabilistic Incremental Program Evolution
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Salustowicz:97ecml Probabilistic Incremental Program Evolution: Stochastic Search Through Program Space
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Salustowicz:1998:hpipeTR H-PIPE: Facilitating Hierarchical Program Evolution Through Skip Nodes
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Salustowicz:1998:atdpipeTR Learning to predict through Probabilistic Incremental Program Evolution and automatic task decomposition
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salustowicz:1998:ICML Evolving Structured Programs with Hierarchical Instructions and Skip Nodes
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salustowicz:1999:SLTPATD Sequence Learning Through PIPE and Automatic Task Decomposition
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salustowicz:1999:nio From Probabilities to Programs with Probabilistic Incremental program Evolution
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DBLP:phd/dnb/Salustowicz03 Probabilistic Incremental Program Evolution
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Salza:2017:GECCO Towards Evolutionary Machine Learning Comparison, Competition, and Collaboration with a Multi-cloud Platform
PasqualeSalza.html
ErikHemberg.html
FilomenaFerrucci.html
Una-MayO'Reilly.html
http___doi.acm.org_10.1145_3067695.3082474 http://doi.acm.org/10.1145/3067695.3082474
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Salza:2017:GECCOa cCube: A Cloud Microservices Architecture for Evolutionary Machine Learning Classification
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http___doi.acm.org_10.1145_3067695.3076089 http://doi.acm.org/10.1145/3067695.3076089
http___dx.doi.org_10.1145_3067695.3076089 http://dx.doi.org/10.1145/3067695.3076089
Samadianfard:2012:SRAR Estimating soil wetting patterns for drip irrigation using genetic programming
SaeedSamadianfard.html
SeyedAliAshraflaSadraddini.html
AmirHosseinNazemi.html
GiuseppeProvenzano.html
OzgurKisi.html
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http___dialnet.unirioja.es_servlet_oaiart_codigo_4091324 http://dialnet.unirioja.es/servlet/oaiart?codigo=4091324
Samadianfard2012 Gene expression programming analysis of implicit colebrook-white equation in turbulent flow friction factor calculation
SaeedSamadianfard.html
http___dx.doi.org_10.1016_j.petrol.2012.06.005 http://dx.doi.org/10.1016/j.petrol.2012.06.005
http___www.sciencedirect.com_science_article_pii_S0920410512001477_v_s5 http://www.sciencedirect.com/science/article/pii/S0920410512001477?v=s5
Samadianfard:2013:Geofizika Comparative analysis of ozone level prediction models using gene expression programming and multiple linear regression
SaeedSamadianfard.html
RezaDelirhasannia.html
OzgurKisi.html
ElenaAgirre-Basurko.html
http___geofizika-journal.gfz.hr_vol30.htm http://geofizika-journal.gfz.hr/vol30.htm
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Samanta:2005:IDETC/CIE Machine Fault Detection Using Genetic Programming
BSamanta.html
http___dx.doi.org_10.1115_DETC2005-84642 http://dx.doi.org/10.1115/DETC2005-84642
Samarasinghe:2018:GECCO Automatic Synthesis of Swarm Behavioural Rules from their Atomic Components
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ErandiHeneKankanamge.html
MichaelBarlow.html
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http___www.human-competitive.org_sites_default_files_samarasinghe-paper.pdf http://www.human-competitive.org/sites/default/files/samarasinghe-paper.pdf
http___dx.doi.org_10.1145_3205455.3205546 http://dx.doi.org/10.1145/3205455.3205546
Samarasinghe:2021:IVA Task Allocation in Multi-Agent Systems with Grammar-Based Evolution
DiliniSamarasinghe.html
MichaelBarlow.html
ErandiHeneKankanamge.html
KathrynKasmarik.html
https___doi.org_10.1145_3472306.3478337 https://doi.org/10.1145/3472306.3478337
http___dx.doi.org_10.1145_3472306.3478337 http://dx.doi.org/10.1145/3472306.3478337
Samarasinghe:2021:IJIS Exploiting abstractions for grammar-based learning of complex multi-agent behaviours
DiliniSamarasinghe.html
MichaelBarlow.html
ErandiHeneKankanamge.html
KathrynKasmarik.html
http___dx.doi.org_10.1002_int.22550 http://dx.doi.org/10.1002/int.22550
DBLP:journals/swevo/SamarasingheBLK22 Grammar-based cooperative learning for evolving collective behaviours in multi-agent systems
DiliniSamarasinghe.html
MichaelBarlow.html
ErandiHeneKankanamge.html
KathrynKasmarik.html
https___dblp.org_rec_journals_swevo_SamarasingheBLK22.bib https://dblp.org/rec/journals/swevo/SamarasingheBLK22.bib
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https___www.human-competitive.org_sites_default_files_grammar-based_cooperative_learning_for_mass.pdf https://www.human-competitive.org/sites/default/files/grammar-based_cooperative_learning_for_mass.pdf
https___www.sciencedirect.com_science_article_pii_S2210650221001796 https://www.sciencedirect.com/science/article/pii/S2210650221001796
http___dx.doi.org_doi.org_10.1016_j.swevo.2021.101017 http://dx.doi.org/doi.org/10.1016/j.swevo.2021.101017
DBLP:conf/icaart/SambheRND0R21 Multi-objective Classification and Feature Selection of Covid-19 Proteins Sequences using NSGA-II and MAP-Elites
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ShanmukhaRajesh.html
EnriqueNaredo.html
DouglasMotaDias.html
MeghanaKshirsagar.html
ConorRyan.html
https___dblp.org_rec_conf_icaart_SambheRND0R21.bib https://dblp.org/rec/conf/icaart/SambheRND0R21.bib
http___dx.doi.org_10.5220_0010388512411248 http://dx.doi.org/10.5220/0010388512411248
Sambo:2020:SAC Leveraging Asynchronous Parallel Computing to Produce Simple Genetic Programming Computational Models
AliyuSaniSambo.html
RMuhammadAtifAzad.html
YevgeniyaKovalchuk.html
VivekPadmanaabhanIndramohan.html
HanifaShah.html
http___dx.doi.org_10.1145_3341105.3373921 http://dx.doi.org/10.1145/3341105.3373921
Sambo:2020:EuroGP Time Control or Size Control? Reducing Complexity and Improving Accuracy of Genetic Programming Models
AliyuSaniSambo.html
RMuhammadAtifAzad.html
YevgeniyaKovalchuk.html
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HanifaShah.html
http___www.open-access.bcu.ac.uk_8736_1_Evaluation_Time_Control.pdf http://www.open-access.bcu.ac.uk/8736/1/Evaluation_Time_Control.pdf
http___www.open-access.bcu.ac.uk_8736_ http://www.open-access.bcu.ac.uk/8736/
https___www.youtube.com_watch_v_IGTGh0pe4zI https://www.youtube.com/watch?v=IGTGh0pe4zI
http___dx.doi.org_10.1007_978-3-030-44094-7_13 http://dx.doi.org/10.1007/978-3-030-44094-7_13
Sambo:2020:GECCOcomp Feature Engineering for Improving Robustness of Crossover in Symbolic Regression
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YevgeniyaKovalchuk.html
VivekPadmanaabhanIndramohan.html
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https___doi.org_10.1145_3377929.3390078 https://doi.org/10.1145/3377929.3390078
http___dx.doi.org_10.1145_3377929.3390078 http://dx.doi.org/10.1145/3377929.3390078
Sambo:2021:ASC Evolving simple and accurate symbolic regression models via asynchronous parallel computing
AliyuSaniSambo.html
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YevgeniyaKovalchuk.html
VivekPadmanaabhanIndramohan.html
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https___www.sciencedirect.com_science_article_pii_S1568494621001216 https://www.sciencedirect.com/science/article/pii/S1568494621001216
http___dx.doi.org_10.1016_j.asoc.2021.107198 http://dx.doi.org/10.1016/j.asoc.2021.107198
Sambo:2021:GECCOcomp Improving the Generalisation of Genetic Programming Models with Evaluation Time and Asynchronous Parallel Computing
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RMuhammadAtifAzad.html
YevgeniyaKovalchuk.html
VivekPadmanaabhanIndramohan.html
HanifaShah.html
https___doi.org_10.1145_3449726.3459583 https://doi.org/10.1145/3449726.3459583
http___dx.doi.org_10.1145_3449726.3459583 http://dx.doi.org/10.1145/3449726.3459583
Thesis_AliyuSambo_Jan2022 Leveraging Evaluation Time to Produce Simple Machine Learning Models with Genetic Programming
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https___www.open-access.bcu.ac.uk_13439_ https://www.open-access.bcu.ac.uk/13439/
https___www.open-access.bcu.ac.uk_id_eprint_13439 https://www.open-access.bcu.ac.uk/id/eprint/13439
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http___dx.doi.org_10.13140_RG.2.2.32039.01440 http://dx.doi.org/10.13140/RG.2.2.32039.01440
journals/ecs/SamiHT07 Genetic Programming Scheme for Optimizing Register Allocation
MostafaSami.html
MohamedHaggag.html
HebaThabit.html
http___ecsjournal.org_JournalArticle.aspx_articleID_159 http://ecsjournal.org/JournalArticle.aspx?articleID=159
Samie:thesis Bio-inspired prokaryotic array for fault-tolerant electronic systems
MohammadSamie.html
http___eprints.uwe.ac.uk_16539 http://eprints.uwe.ac.uk/16539
1068313 Parameter sweeps for exploring GP parameters
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JasonMDaida.html
MatthewJByom.html
MattPizzimenti.html
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http___dx.doi.org_10.1145_1068009.1068313 http://dx.doi.org/10.1145/1068009.1068313
samples:gecco05ws Parameter Sweeps For Exploring GP Parameters
MichaelESamples.html
JasonMDaida.html
MatthewJByom.html
MattPizzimenti.html
http___gpbib.cs.ucl.ac.uk_gecco2005wks_papers_0212.pdf http://gpbib.cs.ucl.ac.uk/gecco2005wks/papers/0212.pdf
Samples:2007:lobo Parameter Sweeps for Exploring Parameters Spaces of Genetic and Evolutionary Algorithms
MichaelESamples.html
MatthewJByom.html
JasonMDaida.html
http___dx.doi.org_10.1007_978-3-540-69432-8 http://dx.doi.org/10.1007/978-3-540-69432-8
samuelsson:masters Distributed Evolution of Behaviour for a Group of Social Autonomous Agents
FredrikSamuelsson.html
http___www.kaffedepartementet.se_Kurser_Exjobb_report.pdf http://www.kaffedepartementet.se/Kurser/Exjobb/report.pdf
http___www.kaffedepartementet.se_Kurser_Exjobb_report_ http://www.kaffedepartementet.se/Kurser/Exjobb/report/
samuelsson:2001:debgsaa Distributed Evolution of Behaviour for a Group of Social Autonomous Agents
FredrikSamuelsson.html
PeterNordin.html
http___www.kaffedepartementet.se_Kurser_Exjobb_gecco.pdf http://www.kaffedepartementet.se/Kurser/Exjobb/gecco.pdf
Samui:2015:hbgpa Site Characterization Using GP, MARS and GPR
PijushSamui.html
YildirimDalkilic.html
JJagan.html
http___dx.doi.org_10.1007_978-3-319-20883-1_13 http://dx.doi.org/10.1007/978-3-319-20883-1_13
Samui:2016:CEECMTA.14 Application of Artificial Neural Network and Genetic Programming in Civil Engineering
PijushSamuiy.html
https___www.igi-global.com_chapter_determination-of-pull-out-capacity-of-small-ground-anchor-using-data-mining-techniques_144504 https://www.igi-global.com/chapter/determination-of-pull-out-capacity-of-small-ground-anchor-using-data-mining-techniques/144504
http___dx.doi.org_10.4018_978-1-4666-9619-8.ch014 http://dx.doi.org/10.4018/978-1-4666-9619-8.ch014
Samui:2016:CEECMTA.44 Application of Artificial Neural Network and Genetic Programming in Civil Engineering
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DhruvanChoubisa.html
AkashSharda.html
https___www.igi-global.com_chapter_application-of-artificial-neural-network-and-genetic-programming-in-civil-engineering_144536 https://www.igi-global.com/chapter/application-of-artificial-neural-network-and-genetic-programming-in-civil-engineering/144536
http___dx.doi.org_10.4018_978-1-4666-9619-8.ch044 http://dx.doi.org/10.4018/978-1-4666-9619-8.ch044
samui:GaGE Reliability Analysis of Slope Safety Factor by Using GPR and GP
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RahulKumar.html
UttamYadav.html
SunitaKumari.html
DieuTienBui.html
http___link.springer.com_article_10.1007_s10706-018-0697-2 http://link.springer.com/article/10.1007/s10706-018-0697-2
http___dx.doi.org_10.1007_s10706-018-0697-2 http://dx.doi.org/10.1007/s10706-018-0697-2
Samui:2020:IRMA Determination of Spatial Variability of Rock Depth of Chennai
PijushSamui.html
ViswanathanRamasamy.html
JJagan.html
PradeepUKurup.html
http___dx.doi.org_10.4018_978-1-7998-8048-6 http://dx.doi.org/10.4018/978-1-7998-8048-6
http___dx.doi.org_10.4018_978-1-7998-8048-6.ch006 http://dx.doi.org/10.4018/978-1-7998-8048-6.ch006
Sanchez:2017:ROPEC Semantic genetic operators based on a selection mechanism tailored for the root function
ClaudiaNallelySanchezGomez.html
MarioGraffGuerrero.html
http___dx.doi.org_10.1109_ROPEC.2017.8261638 http://dx.doi.org/10.1109/ROPEC.2017.8261638
DBLP:journals/corr/abs-1907-07066 Selection Heuristics on Semantic Genetic Programming for Classification Problems
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MarioGraffGuerrero.html
http___arxiv.org_abs_1907.07066 http://arxiv.org/abs/1907.07066
https___dblp.org_rec_journals_corr_abs-1907-07066.bib https://dblp.org/rec/journals/corr/abs-1907-07066.bib
Sanchez:2022:EC Selection Heuristics on Semantic Genetic Programming for Classification Problems
ClaudiaNallelySanchezGomez.html
MarioGraffGuerrero.html
http___dx.doi.org_10.1162_evco_a_00297 http://dx.doi.org/10.1162/evco_a_00297
sanchez:evows05 Automatic completion and refinement of verification sets for microprocessor cores
ErnestoSanchez.html
MatteoSonzaReorda.html
GiovanniSquillero.html
http___dx.doi.org_10.1007_b106856 http://dx.doi.org/10.1007/b106856
sanchez:thesis Test techniques for Advanced Processors
ErnestoSanchez.html
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sanchez:2006:sigevo Test techniques for advanced processors
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Sanchez:2006:CEC Enhanced Test Program Compaction Using Genetic Programming
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MassimilianoSchillaci.html
GiovanniSquillero.html
http___dx.doi.org_10.1109_CEC.2006.1688402 http://dx.doi.org/10.1109/CEC.2006.1688402
Sanchez:2011:GECCOcomp Evolutionary failing-test generation for modern microprocessors
ErnestoSanchez.html
GiovanniSquillero.html
AlbertoTonda.html
http___dx.doi.org_10.1145_2001858.2001985 http://dx.doi.org/10.1145/2001858.2001985
Sanchez:uGP:book Evolutionary Optimization: the uGP toolkit
ErnestoSanchez.html
MassimilianoSchillaci.html
GiovanniSquillero.html
http___www.springer.com_computer_ai_book_978-0-387-09425-0 http://www.springer.com/computer/ai/book/978-0-387-09425-0
http___dx.doi.org_10.1007_978-0-387-09426-7 http://dx.doi.org/10.1007/978-0-387-09426-7
sanchez:2000:TEC Interval-valued GA-P algorithms
LucianoSanchez.html
http___ieeexplore.ieee.org_iel5_4235_18295_00843495.pdf http://ieeexplore.ieee.org/iel5/4235/18295/00843495.pdf
Sanchez:2001:IS Combining GP operators with SA search to evolve fuzzy rule based classifiers
LucianoSanchez.html
InesCouso.html
JACorrales.html
http___dx.doi.org_10.1016_S0020-0255_01_00146-3 http://dx.doi.org/10.1016/S0020-0255(01)00146-3
http___www.sciencedirect.com_science_article_B6V0C-43DDW06-B_1_dc4e8685f90cc493d7946e93370ac22f http://www.sciencedirect.com/science/article/B6V0C-43DDW06-B/1/dc4e8685f90cc493d7946e93370ac22f
Sanchez2008952 Obtaining transparent models of chaotic systems with multi-objective simulated annealing algorithms
LucianoSanchez.html
JoseRVillar.html
http___dx.doi.org_10.1016_j.ins.2007.09.029 http://dx.doi.org/10.1016/j.ins.2007.09.029
http___www.sciencedirect.com_science_article_B6V0C-4PW05F5-1_2_7e686808a49819363815d713ef4ddd03 http://www.sciencedirect.com/science/article/B6V0C-4PW05F5-1/2/7e686808a49819363815d713ef4ddd03
Sanchez:2008:Lowen Multiobjective Evolutionary Search of Difference Equations-based Models for Understanding Chaotic Systems
LucianoSanchez.html
JoseRVillar.html
http___sci2s.ugr.es_keel_pdf_keel_capitulo_2008-Chapter-Luciano-MES.pdf http://sci2s.ugr.es/keel/pdf/keel/capitulo/2008-Chapter-Luciano-MES.pdf
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.140.4186 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.140.4186
http___dx.doi.org_10.1007_978-1-4020-6668-9_4 http://dx.doi.org/10.1007/978-1-4020-6668-9_4
Sanchez:2017:CLEI Design of software effort estimation models an approach based on linear genetic programming
RobertoSanchez.html
DiegoPPinto-Roa.html
http___dx.doi.org_10.1109_CLEI.2017.8226469 http://dx.doi.org/10.1109/CLEI.2017.8226469
Sanchez:2014:GPEM Gene regulated car driving: using a gene regulatory network to drive a virtual car
StephaneSanchez.html
SylvainCussat-Blanc.html
http___dx.doi.org_10.1007_s10710-014-9228-y http://dx.doi.org/10.1007/s10710-014-9228-y
Sanchez-Clemente:2016:ieeeTReliability Error Mitigation Using Approximate Logic Circuits: A Comparison of Probabilistic and Evolutionary Approaches
AntonioJoseSanchez-Clemente.html
LuisAlfonsoEntrenaArrontes.html
RadekHrbacek.html
LukasSekanina.html
http___www.fit.vutbr.cz__sekanina_pubs.php.en_id_10995 http://www.fit.vutbr.cz/~sekanina/pubs.php.en?id=10995
https___www.fit.vut.cz_research_publication-file_10995_tr_reliab2016.pdf https://www.fit.vut.cz/research/publication-file/10995/tr_reliab2016.pdf
http___dx.doi.org_10.1109_TR.2016.2604918 http://dx.doi.org/10.1109/TR.2016.2604918
Thesis_AJSC Transient error mitigation by means of approximate logic circuits
AntonioJoseSanchez-Clemente.html
http___hdl.handle.net_10016_26338 http://hdl.handle.net/10016/26338
https___e-archivo.uc3m.es_bitstream_handle_10016_26338_tesis_antonio-jose_sanchez_clemente_2017.pdf_sequence_1_isAllowed_y https://e-archivo.uc3m.es/bitstream/handle/10016/26338/tesis_antonio-jose_sanchez_clemente_2017.pdf?sequence=1&isAllowed=y
https___aplicaciones.uc3m.es_webTesis_principal.do_estudio1_45_estudio2_35_estudio3_39_estudio4_116_anio_2017 https://aplicaciones.uc3m.es/webTesis/principal.do?estudio1=45&estudio2=35&estudio3=39&estudio4=116&anio=2017
sandberg:2000:ENNS Evolving Neural Network Structures
MagnusSandberg.html
sander:1995:ECDLGP Evolution of Communication and Division of Labor via Genetic Programming
HannoSander.html
sanderson:2003:ASWLAGP Automatic Synthesis of an 802.11a Wireless LAN Antenna using Genetic Programming
RianSanderson.html
http___www.genetic-programming.org_sp2003_Sanders.pdf http://www.genetic-programming.org/sp2003/Sanders.pdf
sanderson:aso:gecco2004 Automatic Synthesis of an 802.11a Wireless LAN Antenna Using Genetic Programming A Real World Application
RianSanderson.html
http___dx.doi.org_10.1007_b98645 http://dx.doi.org/10.1007/b98645
Sandin:2012:CEC Aggressive and Effective Feature Selection using Genetic Programming
IsacSandin.html
GuilhermeAndrade.html
FelipeViegas.html
DanielMadeira.html
LeonardoRocha.html
ThiagoCunhadeMouraSalles.html
MarcosAndreGoncalves.html
http___dx.doi.org_10.1109_CEC.2012.6252878 http://dx.doi.org/10.1109/CEC.2012.6252878
sandoval:2013:EuroGP A Multi-Objective Optimization Energy Approach to Predict the Ligand Conformation in a Docking Process
AngelicaSandoval-Perez.html
DavidBecerra.html
DianaVanegas.html
DanielRestrepo-Montoya.html
LuisFernandoNinoVasquez.html
http___dx.doi.org_10.1007_978-3-642-37207-0_16 http://dx.doi.org/10.1007/978-3-642-37207-0_16
Sandoval:2022:ASOC Towards fast approximations for the hypervolume indicator for multi-objective optimization problems by Genetic Programming
CristianSandoval.html
OliverCuate.html
LuisCarlosGonzalezGurrola.html
LeonardoTrujillo.html
OliverSchuetze.html
https___human-competitive.org_sites_default_files_humies2023.txt https://human-competitive.org/sites/default/files/humies2023.txt
https___human-competitive.org_sites_default_files_2022-gp-hv.pdf https://human-competitive.org/sites/default/files/2022-gp-hv.pdf
https___www.sciencedirect.com_science_article_pii_S1568494622003817 https://www.sciencedirect.com/science/article/pii/S1568494622003817
http___dx.doi.org_10.1016_j.asoc.2022.109103 http://dx.doi.org/10.1016/j.asoc.2022.109103
Hovedoppgave_Jens-Petter_Sandvik Development of evolution based technology for Image Recognition Systems
Jens-PetterSkjelvagSandvik.html
http___urn.nb.no_URN_NBN_no-11481 http://urn.nb.no/URN:NBN:no-11481
journals/ijamc-igi/SangeethaNMR16 A New Approach for Analyzing the Performance of the WiMAX Networks based on QoS Traffic Prediction Routing Protocol using Gene Expression Programming
JSangeetha.html
KeerthirajNagaraj.html
KNBalasubramanyaMurthy.html
RamPRustagi.html
http___dx.doi.org_10.4018_IJAMC.2016040102 http://dx.doi.org/10.4018/IJAMC.2016040102
Sangeetha:2018:aamc Analyzing and Predicting the QoS of Traffic in WiMAX Network Using Gene Expression Programming
JSangeetha.html
KeerthirajNagaraj.html
KNBalasubramanyaMurthy.html
RamPRustagi.html
http___dx.doi.org_10.4018_978-1-5225-4151-6.ch002 http://dx.doi.org/10.4018/978-1-5225-4151-6.ch002
Sani:thesis Substructural Analysis Using Evolutionary Computing Techniques
NorSamsiahSani.html
http___etheses.whiterose.ac.uk_13975_ http://etheses.whiterose.ac.uk/13975/
http___etheses.whiterose.ac.uk_13975_1_NOR_PhD_20FINAL_20AFTER_20CORRECTIONS.pdf http://etheses.whiterose.ac.uk/13975/1/NOR_PhD%20FINAL%20AFTER%20CORRECTIONS.pdf
https___ethos.bl.uk_OrderDetails.do_uin_uk.bl.ethos.694466 https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.694466
Sannino:2015:BIOSTEC Indirect Blood Pressure Evaluation by Means of Genetic Programming
GiovannaSannino.html
IvanoeDeFalco.html
GiuseppeDePietro.html
http___dx.doi.org_10.1007_978-3-319-27707-3_6 http://dx.doi.org/10.1007/978-3-319-27707-3_6
Sannino:2015:ieeeICTAI Genetic Programming for a Wearable Approach to Estimate Blood Pressure Embedded in a Mobile-Based Health System
GiovannaSannino.html
IvanoeDeFalco.html
GiuseppeDePietro.html
http___dx.doi.org_10.1109_ICTAI.2015.115 http://dx.doi.org/10.1109/ICTAI.2015.115
Sannino:2016:e-Health Easy fall risk assessment by estimating the Mini-BES test score
GiovannaSannino.html
IvanoeDeFalco.html
GiuseppeDePietro.html
http___dx.doi.org_10.1109_HealthCom.2016.7749428 http://dx.doi.org/10.1109/HealthCom.2016.7749428
Sannino:2019:ieeeII A Continuous Noninvasive Arterial Pressure (CNAP) Approach for Health 4.0 Systems
GiovannaSannino.html
IvanoeDeFalco.html
GiuseppeDePietro.html
http___dx.doi.org_10.1109_TII.2018.2832081 http://dx.doi.org/10.1109/TII.2018.2832081
journals/corr/Santana17 Reproducing and learning new algebraic operations on word embeddings using genetic programming
RobertoSantana.html
http___arxiv.org_abs_1702.05624 http://arxiv.org/abs/1702.05624
https___github.com_rsantana-isg_GP_word2vec https://github.com/rsantana-isg/GP_word2vec
Santana2019 GP-based methods for domain adaptation: using brain decoding across subjects as a test-case
RobertoSantana.html
LuisMarti.html
MengjieZhang.html
http___dx.doi.org_10.1007_s10710-019-09352-6 http://dx.doi.org/10.1007/s10710-019-09352-6
santana:2021:HOL Semantic Composition of Word-Embeddings with Genetic Programming
RobertoSantana.html
http___link.springer.com_chapter_10.1007_978-3-030-58930-1_27 http://link.springer.com/chapter/10.1007/978-3-030-58930-1_27
http___dx.doi.org_10.1007_978-3-030-58930-1_27 http://dx.doi.org/10.1007/978-3-030-58930-1_27
santhanam:1998:AGPTR A Genetically Programmed Tone Recognizer
KumaranSanthanam.html
santini:2001:EuroGP Genetic Programming for Financial Time Series Prediction
MassimoSantini.html
AndreaGBTettamanzi.html
http___mago.crema.unimi.it_pub_SantiniTettamanzi2001.ps http://mago.crema.unimi.it/pub/SantiniTettamanzi2001.ps
http___dx.doi.org_10.1007_3-540-45355-5_29 http://dx.doi.org/10.1007/3-540-45355-5_29
conf/spire/SantosZACMS13 Learning to Schedule Webpage Updates Using Genetic Programming
AecioSRSantos.html
NivioZiviani.html
JussaraMarquesdeAlmeida.html
CristianoCarvalho.html
EdlenoSilvadeMoura.html
AltigranSdaSilva.html
http___dx.doi.org_10.1007_978-3-319-02432-5 http://dx.doi.org/10.1007/978-3-319-02432-5
http___dx.doi.org_10.1007_978-3-319-02432-5_30 http://dx.doi.org/10.1007/978-3-319-02432-5_30
journals/ir/SantosCAMSZ15 A genetic programming framework to schedule webpage updates
AecioSRSantos.html
CristianoCarvalho.html
JussaraMarquesdeAlmeida.html
EdlenoSilvadeMoura.html
AltigranSdaSilva.html
NivioZiviani.html
http___dx.doi.org_10.1007_s10791-014-9248-5 http://dx.doi.org/10.1007/s10791-014-9248-5
Santos:2006:CBMS Clustering Fetal Heart Rate Tracings by Compression
CristinaMariaNogueiradaCostaSantos.html
JoaoBernardes.html
PaulMBVitanyi.html
LuisFilipeCoelhoAntunes.html
http___dx.doi.org_10.1109_CBMS.2006.68 http://dx.doi.org/10.1109/CBMS.2006.68
Santos:2010:IGARSS A Genetic Programming approach for coffee crop recognition
JeferssonAlexdosSantos.html
FabioAugustoFaria.html
RodrigoTripodiCalumby.html
RicardodaSilvaTorres.html
RubensAugustoCamargoLamparelli.html
http___dx.doi.org_10.1109_IGARSS.2010.5650273 http://dx.doi.org/10.1109/IGARSS.2010.5650273
conf/caip/SantosSTFML11 Interactive Classification of Remote Sensing Images by Using Optimum-Path Forest and Genetic Programming
JeferssonAlexdosSantos.html
AndreTavaresdaSilva.html
RicardodaSilvaTorres.html
AlexandreXFalcao.html
LeoPiniMagalhaes.html
RubensAugustoCamargoLamparelli.html
http___dx.doi.org_10.1007_978-3-642-21498-1_39 http://dx.doi.org/10.1007/978-3-642-21498-1_39
SANTOS:2022:ESA Decision tree and artificial immune systems for stroke prediction in imbalanced data
LaercioIvesSantos.html
MuriloOsorioCamargos.html
MarcosFlavioSilveiraVasconcelosD'Angelo.html
JoaoBatistaMendes.html
EgydioEmilianoCamargosdeMedeiros.html
AndreLuizSenaGuimaraes.html
ReinaldoMartinezPalhares.html
http___dx.doi.org_10.1016_j.eswa.2021.116221 http://dx.doi.org/10.1016/j.eswa.2021.116221
https___www.sciencedirect.com_science_article_pii_S0957417421015347 https://www.sciencedirect.com/science/article/pii/S0957417421015347
Santos:2020:GECCOcomp Refined Typed Genetic Programming as a User Interface for Genetic Programming
PauloAlexandreCanelasdosSantos.html
SaraSilva.html
AlcidesFonseca.html
https___doi.org_10.1145_3377929.3390042 https://doi.org/10.1145/3377929.3390042
http___dx.doi.org_10.1145_3377929.3390042 http://dx.doi.org/10.1145/3377929.3390042
conf/sac/SantosaMK11 HMXT-GP: an information-theoretic approach to genetic programming that maintains diversity
HenrySantosa.html
JohnMilton.html
PaulJKennedy.html
http___hdl.handle.net_10453_19106 http://hdl.handle.net/10453/19106
http___dx.doi.org_10.1145_1982185.1982420 http://dx.doi.org/10.1145/1982185.1982420
10.4108/eai.13-7-2018.165523 A Genetic Programming Approach to Binary Classification Problem
LeoWillyantoSantoso.html
BhopendraSingh.html
SSumanRajest.html
RRegin.html
KarrarHameedKadhim.html
https___eudl.eu_pdf_10.4108_eai.13-7-2018.165523 https://eudl.eu/pdf/10.4108/eai.13-7-2018.165523
http___dx.doi.org_10.4108_eai.13-7-2018.165523 http://dx.doi.org/10.4108/eai.13-7-2018.165523
Sapargaliyev:2006:CCECE Absolutely Free Extrinsic Evolution of Passive Low-Pass Filter
YerbolASapargaliyev.html
TatianaKalganova.html
http___dx.doi.org_10.1109_CCECE.2006.277565 http://dx.doi.org/10.1109/CCECE.2006.277565
Sapargaliyev:2012:GPEM Open-ended evolution to discover analogue circuits for beyond conventional applications
YerbolASapargaliyev.html
TatianaKalganova.html
http___dx.doi.org_10.1007_s10710-012-9163-8 http://dx.doi.org/10.1007/s10710-012-9163-8
http___results.ref.ac.uk_Submissions_Output_259508 http://results.ref.ac.uk/Submissions/Output/259508
Sapiecha:2014:FedCSIS An application of developmental genetic programming for automatic creation of supervisors of multi-task real-time object-oriented systems
KrzysztofSapiecha.html
LeszekCiopinski.html
StanislawDeniziak.html
http___dx.doi.org_10.15439_2014F208 http://dx.doi.org/10.15439/2014F208
sapiecha:2016:RACO Synthesis of Self-Adaptive Supervisors of Multi-Task Real-Time Object-Oriented Systems Using Developmental Genetic Programming
KrzysztofSapiecha.html
LeszekCiopinski.html
StanislawDeniziak.html
http___link.springer.com_chapter_10.1007_978-3-319-21133-6_4 http://link.springer.com/chapter/10.1007/978-3-319-21133-6_4
http___dx.doi.org_10.1007_978-3-319-21133-6_4 http://dx.doi.org/10.1007/978-3-319-21133-6_4
sapin03 Research of a cellular automaton simulating logic gates by evolutionary algorithms
EmmanuelSapin.html
OlivierBailleux.html
Jean-JacquesChabrier.html
http___emmanuelsapin.chez-alice.fr_english_fichier_Eurogp03.ps http://emmanuelsapin.chez-alice.fr/english_fichier/Eurogp03.ps
http___dx.doi.org_10.1007_3-540-36599-0_39 http://dx.doi.org/10.1007/3-540-36599-0_39
Sapin:2009:ICEC The Fly algorithm revisited: adaptation to CMOS image sensors
EmmanuelSapin.html
JeanLouchet.html
http___jean.louchet.free.fr_publis_SapinLouchetLutton05-07-2009.pdf http://jean.louchet.free.fr/publis/SapinLouchetLutton05-07-2009.pdf
Saraee:2008:ieeeINMIC Optimizing classification techniques using Genetic Programming approach
MohammadHusseinSaraee.html
RaziehSadatSadjady.html
http___dx.doi.org_10.1109_INMIC.2008.4777761 http://dx.doi.org/10.1109/INMIC.2008.4777761
sarafopoulos:1999:agaIFSSTGP Automatic Generation of Affine IFS and Strongly Typed Genetic Programming
AnargyrosSarafopoulos.html
http___dx.doi.org_10.1007_3-540-48885-5_12 http://dx.doi.org/10.1007/3-540-48885-5_12
sarafopoulos:2001:EuroGP Evolution of Affine Transformations and Iterated Function Systems using Hierarchical Evolution Strategy
AnargyrosSarafopoulos.html
http___dx.doi.org_10.1007_3-540-45355-5_14 http://dx.doi.org/10.1007/3-540-45355-5_14
Sarafopoulos:2003:hbca Evolutionary Algorithms in Modeling and Animation
AnargyrosSarafopoulos.html
BernardBuxton.html
http___www.inf.utfsm.cl__mcriff_Tesistas_Games_EAsAnimMod.pdf http://www.inf.utfsm.cl/~mcriff/Tesistas/Games/EAsAnimMod.pdf
http___dx.doi.org_10.1007_978-1-4471-0091-1_2 http://dx.doi.org/10.1007/978-1-4471-0091-1_2
Sarafopoulos:2006:CEC Resolution of the Inverse Problem for Iterated Function Systems using Evolutionary Algorithms
AnargyrosSarafopoulos.html
BernardBuxton.html
http___dx.doi.org_10.1109_CEC.2006.1688428 http://dx.doi.org/10.1109/CEC.2006.1688428
Sarafopoulos:2006:EVR:1179622.1179646 Evolving Visual Representations
AnargyrosSarafopoulos.html
BernardBuxton.html
http___doi.acm.org_10.1145_1179622.1179646 http://doi.acm.org/10.1145/1179622.1179646
http___dx.doi.org_10.1145_1179622.1179646 http://dx.doi.org/10.1145/1179622.1179646
eurogp07:sarafopoulos Empirical Comparison of Evolutionary Representations of the Inverse Problem for Iterated Function Systems
AnargyrosSarafopoulos.html
BernardBuxton.html
http___dx.doi.org_10.1007_978-3-540-71605-1_7 http://dx.doi.org/10.1007/978-3-540-71605-1_7
Sarafopoulos:2012:CiE A Shape Language for IFS
AnargyrosSarafopoulos.html
http___www.mathcomp.leeds.ac.uk_turing2012_WScie12_Images_abstracts-booklet.pdf http://www.mathcomp.leeds.ac.uk/turing2012/WScie12/Images/abstracts-booklet.pdf
journals/jbcs/SaraivaCGSMT13 Evaluation of parameters for combining multiple textual sources of evidence for Web image retrieval using genetic programming
PatriciaCorreiaSaraiva.html
JoaoMarcosBCavalcanti.html
MarcosAndreGoncalves.html
KatiaCristinaLagedosSantos.html
EdlenoSilvadeMoura.html
RicardodaSilvaTorres.html
http___dx.doi.org_10.1007_s13173-012-0087-1 http://dx.doi.org/10.1007/s13173-012-0087-1
Saraiva:2016:IPM A multimodal query expansion based on genetic programming for visually-oriented e-commerce applications
PatriciaCorreiaSaraiva.html
JoaoMarcosBCavalcanti.html
EdlenoSilvadeMoura.html
MarcosAndreGoncalves.html
RicardodaSilvaTorres.html
http___dx.doi.org_10.1016_j.ipm.2016.03.001 http://dx.doi.org/10.1016/j.ipm.2016.03.001
http___www.sciencedirect.com_science_article_pii_S0306457316300206 http://www.sciencedirect.com/science/article/pii/S0306457316300206
SARANYA:2018:AEJ Model level code smell detection using EGAPSO based on similarity measures
GSaranya.html
HKhannaNehemiah.html
AKannan.html
VNithya.html
http___dx.doi.org_10.1016_j.aej.2017.07.006 http://dx.doi.org/10.1016/j.aej.2017.07.006
http___www.sciencedirect.com_science_article_pii_S111001681730234X http://www.sciencedirect.com/science/article/pii/S111001681730234X
Sarbazi-Azad:2014:lsncds Nature-Inspired Computing for Autonomic Wireless Sensor Networks
HamidSarbazi-Azad.html
AlbertYZomaya.html
http___dx.doi.org_10.1002_9781118640708.ch11 http://dx.doi.org/10.1002/9781118640708.ch11
http___ieeexplore.ieee.org_xpl_articleDetails.jsp_arnumber_6674272 http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6674272
Saremi:2014:ICIS Evolutionary decision tree induction with multi-interval discretization
MehrinSaremi.html
FarzinYaghmaee.html
http___dx.doi.org_10.1109_IranianCIS.2014.6802543 http://dx.doi.org/10.1109/IranianCIS.2014.6802543
Saridemir20101911 Genetic programming approach for prediction of compressive strength of concretes containing rice husk ash
MustafaSaridemir.html
http___dx.doi.org_10.1016_j.conbuildmat.2010.04.011 http://dx.doi.org/10.1016/j.conbuildmat.2010.04.011
http___www.sciencedirect.com_science_article_B6V2G-4YYVCMG-2_2_a49c4d90a50e50ba20756c5f87472767 http://www.sciencedirect.com/science/article/B6V2G-4YYVCMG-2/2/a49c4d90a50e50ba20756c5f87472767
Saridemir2011 Empirical modeling of splitting tensile strength from cylinder compressive strength of concrete by genetic programming
MustafaSaridemir.html
http___dx.doi.org_10.1016_j.eswa.2011.04.239 http://dx.doi.org/10.1016/j.eswa.2011.04.239
http___www.sciencedirect.com_science_article_B6V03-52SBMC3-12_2_8a0a7f9c46f4df0267c921c80fd0bd56 http://www.sciencedirect.com/science/article/B6V03-52SBMC3-12/2/8a0a7f9c46f4df0267c921c80fd0bd56
Saridemir:2014:MD Effect of specimen size and shape on compressive strength of concrete containing fly ash: Application of genetic programming for design
MustafaSaridemir.html
http___dx.doi.org_10.1016_j.matdes.2013.10.073 http://dx.doi.org/10.1016/j.matdes.2013.10.073
http___www.sciencedirect.com_science_article_pii_S0261306913010169 http://www.sciencedirect.com/science/article/pii/S0261306913010169
saridemir:2016:AJSE The Use of Genetic Programming and Regression Analysis for Modeling the Modulus of Elasticity of NSC and HSC
MustafaSaridemir.html
MetinHakanSevercan.html
http___link.springer.com_article_10.1007_s13369-016-2043-4 http://link.springer.com/article/10.1007/s13369-016-2043-4
http___dx.doi.org_10.1007_s13369-016-2043-4 http://dx.doi.org/10.1007/s13369-016-2043-4
sarkar:2023:BUJBAS Application of multi-gene genetic programming technique for modeling and optimization of phycoremediation of Cr(VI) from wastewater
BiswajitSarkar.html
SushovanSen.html
SusmitaDutta.html
SandipKumarLahiri.html
http___link.springer.com_article_10.1186_s43088-023-00365-w http://link.springer.com/article/10.1186/s43088-023-00365-w
http___dx.doi.org_10.1186_s43088-023-00365-w http://dx.doi.org/10.1186/s43088-023-00365-w
SARMA:2019:ATE Thermal performance of thin film heat gauges of gold, silver and nano-composite
ShrutidharaSarma.html
AnkitGoyal.html
LiangGao.html
XiaodongNiu.html
AkhilGarg.html
XuMeijuan.html
JayneSandoval.html
http___dx.doi.org_10.1016_j.applthermaleng.2018.10.079 http://dx.doi.org/10.1016/j.applthermaleng.2018.10.079
http___www.sciencedirect.com_science_article_pii_S1359431118355571 http://www.sciencedirect.com/science/article/pii/S1359431118355571
Sarmiento:2024:GI Grammar evolution and symbolic regression for astrometric centering of Hubble Space Telescope images
RicardoSarmiento.html
MarinadelaCruzEcheandia.html
AlfonsoOrtegadelaPuente.html
RobertoBaena-Galle.html
TerrenceGirard.html
DanaCasetti-Dinescu.html
AlejandroCervantes.html
http___gpbib.cs.ucl.ac.uk_gi2024_ICSE_24_GIGE_astronomy_cr_vldtd.pdf http://gpbib.cs.ucl.ac.uk/gi2024/ICSE_24_GIGE_astronomy_cr_vldtd.pdf
http___dx.doi.org_10.1145_3643692.3648264 http://dx.doi.org/10.1145/3643692.3648264
Saroj:2009:ESA A parallel genetic programming based intelligent miner for discovery of censored production rules with fuzzy hierarchy
KKBharadwaj.html
Mrs_Saroj.html
http___dx.doi.org_10.1016_j.eswa.2009.12.048 http://dx.doi.org/10.1016/j.eswa.2009.12.048
http___www.sciencedirect.com_science_article_B6V03-4Y05DGV-4_2_d56fd1bcfa2050442229496a3808abdb http://www.sciencedirect.com/science/article/B6V03-4Y05DGV-4/2/d56fd1bcfa2050442229496a3808abdb
conf/sac/SarroFG12 Single and Multi Objective Genetic Programming for software development effort estimation
FedericaSarro.html
FilomenaFerrucci.html
CarmineGravino.html
http___dl.acm.org_citation.cfm_id_2245276 http://dl.acm.org/citation.cfm?id=2245276
http___dx.doi.org_10.1145_2245276.2231968 http://dx.doi.org/10.1145/2245276.2231968
Sarro:2016:ICSE Multi-objective Software Effort Estimation
FedericaSarro.html
AlessioPetrozziello.html
MarkHarman.html
http___www.cs.ucl.ac.uk_staff_F.Sarro_resource_papers_SarroICSE2016.pdf http://www.cs.ucl.ac.uk/staff/F.Sarro/resource/papers/SarroICSE2016.pdf
http___doi.acm.org_10.1145_2884781.2884830 http://doi.acm.org/10.1145/2884781.2884830
http___dx.doi.org_10.1145_2884781.2884830 http://dx.doi.org/10.1145/2884781.2884830
sarti:2023:GECCOcomp Neuroevolution Trajectory Networks: Revealing the Past of Incrementally Neuroevolved CNNs
StefanoSarti.html
http___dx.doi.org_10.1145_3583133.3595848 http://dx.doi.org/10.1145/3583133.3595848
Sarvaghad-Moghaddam:2016:ArXiv Multi-objective design of quantum circuits using genetic programming
MoeinSarvaghad-Moghaddam.html
http___arxiv.org_abs_1604.00642 http://arxiv.org/abs/1604.00642
Sarvaghad-Moghaddam:2018:RC Multi-objective Synthesis of Quantum Circuits Using Genetic Programming
MoeinSarvaghad-Moghaddam.html
PhilippNiemann.html
RolfDrechsler.html
http___www.informatik.uni-bremen.de_agra_doc_konf_2018RC_GP_Synthesis.pdf http://www.informatik.uni-bremen.de/agra/doc/konf/2018RC_GP_Synthesis.pdf
http___dx.doi.org_10.1007_978-3-319-99498-7_15 http://dx.doi.org/10.1007/978-3-319-99498-7_15
Sarveghadi:2016:NCA Development of prediction models for shear strength of SFRCB using a machine learning approach
MasoudSarveghadi.html
AHGandomi.html
HamedBolandi.html
AHAlavi.html
http___dx.doi.org_10.1007_s00521-015-1997-6 http://dx.doi.org/10.1007/s00521-015-1997-6
Sasaki:2023:ATCON Application of Symbolic Regression to Unsolved Mathematical Problems
YujiSasaki.html
KeitoTanemura.html
YukiTokuni.html
RyoheiMiyadera.html
HikaruManabe.html
http___dx.doi.org_10.1109_ICAIA57370.2023.10169711 http://dx.doi.org/10.1109/ICAIA57370.2023.10169711
DBLP:journals/corr/abs-1904-02830 An Evolutionary Framework for Automatic and Guided Discovery of Algorithms
RuchiraSasanka.html
KonstantinosKrommydas.html
http___arxiv.org_abs_1904.02830 http://arxiv.org/abs/1904.02830
https___dblp.org_rec_journals_corr_abs-1904-02830.bib https://dblp.org/rec/journals/corr/abs-1904-02830.bib
Sasanka:2020:CF An Evolutionary Framework for Automatic and Guided Discovery of Algorithms
RuchiraSasanka.html
KonstantinosKrommydas.html
http___dx.doi.org_10.1145_3387902.3394033 http://dx.doi.org/10.1145/3387902.3394033
sastry:2003:GPTP Building Block Supply in Genetic Programming
KumaraSastry.html
Una-MayO'Reilly.html
DavidEGoldberg.html
DavidHill.html
http___www-illigal.ge.uiuc.edu_kumara_wp-content_files_2003012.pdf http://www-illigal.ge.uiuc.edu/kumara/wp-content/files/2003012.pdf
http___www.springer.com_computer_ai_book_978-1-4020-7581-0 http://www.springer.com/computer/ai/book/978-1-4020-7581-0
http___dx.doi.org_10.1007_978-1-4419-8983-3_9 http://dx.doi.org/10.1007/978-1-4419-8983-3_9
sastry:2003:GPTP13 Probabilistic Model Building and Competent Genetic Programming
KumaraSastry.html
DavidEGoldberg.html
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http___www.springer.com_computer_ai_book_978-1-4020-7581-0 http://www.springer.com/computer/ai/book/978-1-4020-7581-0
http___dx.doi.org_10.1007_978-1-4419-8983-3_13 http://dx.doi.org/10.1007/978-1-4419-8983-3_13
sastry:2003014 Genetic Programming for Multi-Timescale Modeling
KumaraSastry.html
DuaneDJohnson.html
DavidEGoldberg.html
PascalBellon.html
ftp___ftp-illigal.ge.uiuc.edu_pub_papers_IlliGALs_2003014.ps.Z ftp://ftp-illigal.ge.uiuc.edu/pub/papers/IlliGALs/2003014.ps.Z
http___arXiv.org_abs_cond-mat_0405415 http://arXiv.org/abs/cond-mat/0405415
sastry:2004:GPTP Population Sizing for Genetic Programming based on Decision Making
KumaraSastry.html
Una-MayO'Reilly.html
DavidEGoldberg.html
http___arxiv.org_abs_cs_0502020 http://arxiv.org/abs/cs/0502020
http___dx.doi.org_10.1007_0-387-23254-0_4 http://dx.doi.org/10.1007/0-387-23254-0_4
Sastry:2004:ijmsce Genetic Programming for Multiscale Modeling
KumaraSastry.html
DuaneDJohnson.html
DavidEGoldberg.html
PascalBellon.html
http___dx.doi.org_10.1615_IntJMultCompEng.v2.i2.50 http://dx.doi.org/10.1615/IntJMultCompEng.v2.i2.50
Sastry:2005:PhyRevB Genetic programming for multitimescale modeling
KumaraSastry.html
DuaneDJohnson.html
DavidEGoldberg.html
PascalBellon.html
http___arxiv.org_pdf_cond-mat_0405415v1.pdf http://arxiv.org/pdf/cond-mat/0405415v1.pdf
http___dx.doi.org_10.1103_PhysRevB.72.085438 http://dx.doi.org/10.1103/PhysRevB.72.085438
Sastry:thesis Genetic Algorithms and Genetic Programming for Multiscale Modeling: Applications in Materials Science and Chemistry and Advances in Scalability
KumaraSastry.html
http___hdl.handle.net_2142_87085 http://hdl.handle.net/2142/87085
http___adsabs.harvard.edu_abs_2007PhDT.......323S http://adsabs.harvard.edu/abs/2007PhDT.......323S
http___www.illigal.uiuc.edu_pub_papers_IlliGALs_2007019.pdf http://www.illigal.uiuc.edu/pub/papers/IlliGALs/2007019.pdf
DBLP:journals/corr/abs-2110-11226 Accelerating Genetic Programming using GPUs
VimarshSathia.html
VenkataramanaGanesh.html
ShankaraRaoThejaswiNanditale.html
https___arxiv.org_abs_2110.11226 https://arxiv.org/abs/2110.11226
https___dblp.org_rec_journals_corr_abs-2110-11226.bib https://dblp.org/rec/journals/corr/abs-2110-11226.bib
Sathiyan:2011:ijcsis Optimization of ACC using Soft Computing Technique
SPaulSathiyan.html
AWiseminLins.html
SSureshKumar.html
http___www.scribd.com_doc_50265760 http://www.scribd.com/doc/50265760
Sato:2012:CECa Probabilistic Model Building GP with Belief Propagation
HiroyukiSato.html
YoshihikoHasegawa.html
DanushkaBollegala.html
HitoshiIba.html
http___dx.doi.org_10.1109_CEC.2012.6256483 http://dx.doi.org/10.1109/CEC.2012.6256483
Sato:2013:CECa Learning Non-linear Ranking Functions for Web Search using Probabilistic Model Building GP
HiroyukiSato.html
DanushkaBollegala.html
YoshihikoHasegawa.html
HitoshiIba.html
http___dx.doi.org_10.1109_CEC.2013.6557983 http://dx.doi.org/10.1109/CEC.2013.6557983
Sato:2015:SEC Improved sampling using loopy belief propagation for probabilistic model building genetic programming
HiroyukiSato.html
YoshihikoHasegawa.html
DanushkaBollegala.html
HitoshiIba.html
http___danushka.net_papers_Sato_2015.pdf http://danushka.net/papers/Sato_2015.pdf
http___dx.doi.org_10.1016_j.swevo.2015.02.002 http://dx.doi.org/10.1016/j.swevo.2015.02.002
http___www.sciencedirect.com_science_article_pii_S2210650215000176 http://www.sciencedirect.com/science/article/pii/S2210650215000176
Sato:2020:QRS-C Specification-based Test Case Generation with Constrained Genetic Programming
YujiSato.html
http___dx.doi.org_10.1109_QRS-C51114.2020.00027 http://dx.doi.org/10.1109/QRS-C51114.2020.00027
SATTAR:2022:CBC Lung cancer prediction using multi-gene genetic programming by selecting automatic features from amino acid sequences
MohsinSattar.html
AbdulMajid.html
NabeelaKausar.html
MuhammadBilal.html
MuhammadKashif.html
http___dx.doi.org_10.1016_j.compbiolchem.2022.107638 http://dx.doi.org/10.1016/j.compbiolchem.2022.107638
https___www.sciencedirect.com_science_article_pii_S1476927122000184 https://www.sciencedirect.com/science/article/pii/S1476927122000184
Saunders:thesis Curious Design Agents and Artificial Creativity A Synthetic Approach to the Study of Creative Behaviour
RobSaunders.html
http___web.arch.usyd.edu.au__rob_publications_thesis_thesis_thesis.pdf http://web.arch.usyd.edu.au/~rob/publications/thesis/thesis/thesis.pdf
https___www.robsaunders.net_publication_curious-design-agents-and-artificial-creativity_ https://www.robsaunders.net/publication/curious-design-agents-and-artificial-creativity/
http___www.worldcat.org_title_curious-design-agents-and-artificial-creativity-a-synthetic-approach-to-the-study-of-creative-behaviour_oclc_223332128 http://www.worldcat.org/title/curious-design-agents-and-artificial-creativity-a-synthetic-approach-to-the-study-of-creative-behaviour/oclc/223332128
https___sydney.primo.exlibrisgroup.com_discovery_sourceRecord_vid_61USYD_INST_sydney_docId_alma991013719009705106_recordOwner_61USYD_INST https://sydney.primo.exlibrisgroup.com/discovery/sourceRecord?vid=61USYD_INST:sydney&docId=alma991013719009705106&recordOwner=61USYD_INST
Sauperl:2006:MRI Study of crosslinking efficiency of cotton cellulose by different physical-chemical methods and genetic programming
OliveraSauperl.html
MiranBrezocnik.html
http___dx.doi.org_10.1179_mri.2006.10.1.ix http://dx.doi.org/10.1179/mri.2006.10.1.ix
Savage:2012:cACM Automating Scientific Discovery
NeilSavage.html
http___dx.doi.org_10.1145_2160718.2160723 http://dx.doi.org/10.1145/2160718.2160723
Savic1999219 A Genetic Programming Approach to Rainfall-Runoff Modelling
DraganSavic.html
GodfreyAWalters.html
JWDavidson.html
http___link.springer.com_article_10.1023_2FA_3A1008132509589 http://link.springer.com/article/10.1023%2FA%3A1008132509589
http___dx.doi.org_10.1023_A_1008132509589 http://dx.doi.org/10.1023/A:1008132509589
Savic:2006:wama Modelling sewer failure by evolutionary computing
DraganSavic.html
OrazioGiustolisi.html
LuigiBerardi.html
WillShepherd.html
SlobodanDjordjevic.html
AdrianSaul.html
http___dx.doi.org_10.1680_wama.2006.159.2.111 http://dx.doi.org/10.1680/wama.2006.159.2.111
Savic:2009:JH Asset deterioration analysis using multi-utility data and multi-objective data mining
DraganSavic.html
OrazioGiustolisi.html
DanieleBLaucelli.html
http___www.iwaponline.com_jh_011_0211_0110211.pdf http://www.iwaponline.com/jh/011/0211/0110211.pdf
http___dx.doi.org_10.2166_hydro.2009.019 http://dx.doi.org/10.2166/hydro.2009.019
daSilva:2014:SEAL A GP Approach to QoS-Aware Web Service Composition and Selection
AlexandreSawczukdaSilva.html
HuiMa.html
MengjieZhang.html
http___dx.doi.org_10.1007_978-3-319-13563-2_16 http://dx.doi.org/10.1007/978-3-319-13563-2_16
daSilva:2015:CEC A GP Approach to QoS-Aware Web Service Composition including Conditional Constraints
AlexandreSawczukdaSilva.html
HuiMa.html
MengjieZhang.html
http___dx.doi.org_10.1109_CEC.2015.7257145 http://dx.doi.org/10.1109/CEC.2015.7257145
SawczukdaSilva:2016:CEC A memetic algorithm-based indirect approach to web service composition
AlexandreSawczukdaSilva.html
YiMei.html
HuiMa.html
MengjieZhang.html
http___dx.doi.org_10.1109_CEC.2016.7744218 http://dx.doi.org/10.1109/CEC.2016.7744218
daSilva:2016:GECCOcomp A Graph-based QoS-Aware Method for Web Service Composition with Branching
AlexandreSawczukdaSilva.html
HuiMa.html
MengjieZhang.html
http___dx.doi.org_10.1145_2908961.2909044 http://dx.doi.org/10.1145/2908961.2909044
journals/soco/SilvaMZ16 Genetic programming for QoS-aware web service composition and selection
AlexandreSawczukdaSilva.html
HuiMa.html
MengjieZhang.html
http___dx.doi.org_10.1007_s00500-016-2096-z http://dx.doi.org/10.1007/s00500-016-2096-z
daSilva:2017:GECCO Fragment-based Genetic Programming for Fully Automated Multi-objective Web Service Composition
AlexandreSawczukdaSilva.html
YiMei.html
HuiMa.html
MengjieZhang.html
http___doi.acm.org_10.1145_3071178.3071199 http://doi.acm.org/10.1145/3071178.3071199
http___dx.doi.org_10.1145_3071178.3071199 http://dx.doi.org/10.1145/3071178.3071199
conf/dexa/SilvaMMH17 A QoS-Aware Web Service Composition Approach Based on Genetic Programming and Graph Databases
AlexandreSawczukdaSilva.html
EwanMoshi.html
HuiMa.html
SvenHartmann.html
http___dx.doi.org_10.1007_978-3-319-64471-4_4 http://dx.doi.org/10.1007/978-3-319-64471-4_4
SawczukdaSilva:thesis Evolutionary Computation for Multifaceted Web Service Composition
AlexandreSawczukdaSilva.html
http___hdl.handle.net_10063_8014 http://hdl.handle.net/10063/8014
http___researcharchive.vuw.ac.nz_handle_10063_8014 http://researcharchive.vuw.ac.nz/handle/10063/8014
http___researcharchive.vuw.ac.nz_bitstream_handle_10063_8014_thesis_access.pdf http://researcharchive.vuw.ac.nz/bitstream/handle/10063/8014/thesis_access.pdf
Saxena:2023:ICCCNT Air-Quality Index Prediction Using Auto Ml Library, TPOT
RiyaSaxena.html
KomalJindal.html
NidhiMalik.html
AnshulBhatia.html
http___dx.doi.org_10.1109_ICCCNT56998.2023.10307166 http://dx.doi.org/10.1109/ICCCNT56998.2023.10307166
Sayar:2024:evoapplications Hindsight Experience Replay with Evolutionary Decision Trees for Curriculum Goal Generation
ErdiSayar.html
VladislavVintaykin.html
GiovanniIacca.html
AloisKnoll.html
https___rdcu.be_dD0ts https://rdcu.be/dD0ts
http___dx.doi.org_10.1007_978-3-031-56855-8_1 http://dx.doi.org/10.1007/978-3-031-56855-8_1
SAYYAADI:2021:MAOES Chapter 5 - Soft computing and statistical tools for developing analytical models
HoseynSayyaadi.html
http___dx.doi.org_10.1016_B978-0-12-816656-7.00005-1 http://dx.doi.org/10.1016/B978-0-12-816656-7.00005-1
https___www.sciencedirect.com_science_article_pii_B9780128166567000051 https://www.sciencedirect.com/science/article/pii/B9780128166567000051
Scalco:2022:EMBC Automatic Feature Construction Based on Genetic Programming for Survival Prediction in Lung Cancer Using CT Images
ElisaScalco.html
GiovannaRizzo.html
WilfridoGomez-Flores.html
http___dx.doi.org_10.1109_EMBC48229.2022.9871039 http://dx.doi.org/10.1109/EMBC48229.2022.9871039
Scardapane:2014:CEC GP-Based Kernel Evolution for L2-Regularization Networks
SimoneScardapane.html
DaniloComminiello.html
MicheleScarpiniti.html
AurelioUncini.html
http___dx.doi.org_10.1109_CEC.2014.6900389 http://dx.doi.org/10.1109/CEC.2014.6900389
Schaller:2003:tr Developing Close Combat Behaviors for Simulated Soldiers Using Genetic Programming Techniques
MarkJSchaller.html
RichardJPryor.html
http___www.cs.sandia.gov_web1433_pubsagent_Soldier.pdf http://www.cs.sandia.gov/web1433/pubsagent/Soldier.pdf
Scheepers:2021:SSCI A Study of Transfer Learning in a Generation Constructive Hyper-Heuristic for One Dimensional Bin Packing
DariusScheepers.html
NelishiaPillay.html
http___dx.doi.org_10.1109_SSCI50451.2021.9660092 http://dx.doi.org/10.1109/SSCI50451.2021.9660092
3064 HeuristicLab Hive - An Open Source Environment for Parallel and Distributed Execution of Heuristic Optimization Algorithms
AndreasScheibenpflug.html
StefanWagner.html
GabrielKronberger.html
MichaelAffenzeller.html
http___research.fh-ooe.at_en_publication_3064 http://research.fh-ooe.at/en/publication/3064
Schillaci:2006:sigevo A Brief Survey of uGP
MassimilianoSchillaci.html
ErnestoSanchez.html
http___www.sigevolution.org_issues_pdf_SIGEVOlution200602.pdf http://www.sigevolution.org/issues/pdf/SIGEVOlution200602.pdf
Schkufza:thesis Stochastic program optimization for x86-64 binaries
EricSchkufza.html
http___purl.stanford.edu_fw184nf4136 http://purl.stanford.edu/fw184nf4136
http___theory.stanford.edu__aiken_publications_theses_schkufza.pdf http://theory.stanford.edu/~aiken/publications/theses/schkufza.pdf
https___www.youtube.com_watch_v_aD9mZDJzb58 https://www.youtube.com/watch?v=aD9mZDJzb58
scholoman:2001:gpehpcoimgs Genetic Programming Evolves a Human-Competitive Player for a Complex, On-line, Interactive, Multi-Player Game of Strategy
JohnSchloman.html
BenjaminBlackford.html
schloman:2001:gecco Genetic Programming Evolves a Human-Competitive Player for a Complex, On-line, Interactive, Multi-Player Game of Strategy
JohnSchloman.html
BenjaminBlackford.html
http___gpbib.cs.ucl.ac.uk_gecco2001_d02.pdf http://gpbib.cs.ucl.ac.uk/gecco2001/d02.pdf
schmidhuber:1986:prolog Der genetische Algorithmus: Eine Implemetierung in Prolog
JurgenSchmidhuber.html
schmidhuber:1987:prolog Der genetische Algorithmus: Eine Implementierung in Prolog
DDickmanns.html
JurgenSchmidhuber.html
AWinklhofer.html
http___www.idsia.ch__juergen_geneticprogramming.html http://www.idsia.ch/~juergen/geneticprogramming.html
schmidhuber:1987:srl Evolutionary Principles in Self-Referential Learning. On Learning now to Learn: The Meta-Meta-Meta...-Hook
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http___www.idsia.ch__juergen_diploma.html http://www.idsia.ch/~juergen/diploma.html
https___people.idsia.ch__juergen_diploma1987ocr.pdf https://people.idsia.ch/~juergen/diploma1987ocr.pdf
https___mediatum.ub.tum.de__id_813180 https://mediatum.ub.tum.de/?id=813180
https___search.worldcat.org_title_Evolutionary-principles-in-self-referential-learning-_-on-learning-how-to-learn_-the-meta-meta-meta-...-hook_oclc_862804817 https://search.worldcat.org/title/Evolutionary-principles-in-self-referential-learning-:-on-learning-how-to-learn:-the-meta-meta-meta-...-hook/oclc/862804817
schmidhuber:1995:inc Beyond ``Genetic Programming'': Incremental Self-Improvement
JurgenSchmidhuber.html
http___www.idsia.ch__7Ejuergen_ http://www.idsia.ch/%7Ejuergen/
ftp___ftp.idsia.ch_pub_juergen_gpself.ps.gz ftp://ftp.idsia.ch/pub/juergen/gpself.ps.gz
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schmidhuber:1996:isinal A General Method for Incremental Self-Improvement and Multi-agent Learning in Unrestricted Environments
JurgenSchmidhuber.html
ftp___ftp.idsia.ch__pub_juergen_ec96.ps.gz ftp://ftp.idsia.ch//pub/juergen/ec96.ps.gz
DBLP:conf/ecai/SchmidhuberZ96 Multi-Agent Learning with the Success-Story Algorithm
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JieyuZhao.html
ftp___ftp.idsia.ch_pub_juergen_gerdi.ps.gz ftp://ftp.idsia.ch/pub/juergen/gerdi.ps.gz
http___dx.doi.org__10.1007_3-540-62934-3_43 http://dx.doi.org//10.1007/3-540-62934-3_43
wiering:1996:pomdps Solving POMDPs with Levin search and EIRA
MarcoWiering.html
JurgenSchmidhuber.html
ftp___ftp.idsia.ch_pub_marco_ml_levin_eira.ps.gz ftp://ftp.idsia.ch/pub/marco/ml_levin_eira.ps.gz
ftp___ftp.idsia.ch_pub_juergen_icmllevineira.pdf ftp://ftp.idsia.ch/pub/juergen/icmllevineira.pdf
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https___dblp.org_rec_conf_icml_WieringS96.bib https://dblp.org/rec/conf/icml/WieringS96.bib
Schmidhuber:1997:ML Shifting inductive bias with success-story algorithm, adaptive Levin search, and incremental self-improvement
JurgenSchmidhuber.html
JieyuZhao.html
MarcoWiering.html
ftp___ftp.idsia.ch_pub_juergen_mljssalevin.pdf ftp://ftp.idsia.ch/pub/juergen/mljssalevin.pdf
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Schmidhuber:1997:Thrun Reinforcement learning with self-modifying policies
JurgenSchmidhuber.html
JieyuZhao.html
NicolNSchraudolph.html
ftp___ftp.idsia.ch_pub_juergen_ssabook.pdf ftp://ftp.idsia.ch/pub/juergen/ssabook.pdf
http___www.idsia.ch__juergen_ssabook_ssabook.html http://www.idsia.ch/~juergen/ssabook/ssabook.html
Schmidhuber:1999:ECTA A general method for incremental self-improvement and multiagent learning
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ftp___ftp.idsia.ch_pub_juergen_xinbook.pdf ftp://ftp.idsia.ch/pub/juergen/xinbook.pdf
http___www.idsia.ch__juergen_xinbook_ http://www.idsia.ch/~juergen/xinbook/
http___dx.doi.org_10.1142_2792 http://dx.doi.org/10.1142/2792
Schmidhuber:1999:AAAI Direct policy search and uncertain policy evaluation
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JieyuZhao.html
ftp___ftp.idsia.ch_pub_juergen_aaai99.ps.gz ftp://ftp.idsia.ch/pub/juergen/aaai99.ps.gz
Schmidhuber:2002:AEC Exploring the Predictable
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ftp___ftp.idsia.ch_pub_juergen_explorepredictable.pdf ftp://ftp.idsia.ch/pub/juergen/explorepredictable.pdf
http___www.idsia.ch__juergen_explorepredictable_ http://www.idsia.ch/~juergen/explorepredictable/
http___dx.doi.org_10.1007_978-3-642-18965-4_23 http://dx.doi.org/10.1007/978-3-642-18965-4_23
schmidhuber:2002:TR12 Optimal Ordered Problem Solver
JurgenSchmidhuber.html
ftp___ftp.idsia.ch_pub_juergen_oops.ps.gz ftp://ftp.idsia.ch/pub/juergen/oops.ps.gz
schmidhuber:2004:IAS Bias-Optimal Incremental Learning of Control Sequences for Virtual Robots
JurgenSchmidhuber.html
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Schmidt:2006:GPTP Co-evolving Fitness Predictors for Accelerating and Reducing Evaluations
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http___dx.doi.org_10.1007_978-0-387-49650-4_8 http://dx.doi.org/10.1007/978-0-387-49650-4_8
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http___gpbib.cs.ucl.ac.uk_gecco2007_docs_p1680.pdf http://gpbib.cs.ucl.ac.uk/gecco2007/docs/p1680.pdf
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Schmidt:2008:ESDA Data-Mining Dynamical Systems: Automated Symbolic System Identification for Exploratory Analysis
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Schmidt:2008:TEC Coevolution of Fitness Predictors
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http___dx.doi.org_10.1109_TEVC.2008.919006 http://dx.doi.org/10.1109/TEVC.2008.919006
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HodLipson.html
http___dx.doi.org_10.1145_1569901.1570047 http://dx.doi.org/10.1145/1569901.1570047
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http___dx.doi.org_10.1145_1569901.1570048 http://dx.doi.org/10.1145/1569901.1570048
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http___dx.doi.org_10.1145_1570256.1570292 http://dx.doi.org/10.1145/1570256.1570292
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http___ccsl.mae.cornell.edu_sites_default_files_Science09_Schmidt.pdf http://ccsl.mae.cornell.edu/sites/default/files/Science09_Schmidt.pdf
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http___dx.doi.org_10.1007_978-1-4419-1626-6_5 http://dx.doi.org/10.1007/978-1-4419-1626-6_5
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Schmidt:2010:gecco Predicting solution rank to improve performance
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http___dx.doi.org_10.1145_1830483.1830652 http://dx.doi.org/10.1145/1830483.1830652
Schmidt:2010:GPTP Age-Fitness Pareto Optimization
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Schmidt:thesis Machine Science: Automated Modeling Of Deterministic And Stochastic Dynamical Systems
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https___hdl.handle.net_1813_33574 https://hdl.handle.net/1813/33574
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schmiedle:2001:gecco Priorities in Multi-Objective Optimization for Genetic Programming
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schmiedle:2002:GPEM Heuristic Learning Based on Genetic Programming
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DanielGrosse.html
RolfDrechsler.html
https___rdcu.be_c3NbL https://rdcu.be/c3NbL
http___dx.doi.org_10.1023_A_1020988925923 http://dx.doi.org/10.1023/A:1020988925923
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JonasSchmitt.html
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https___doi.org_10.1145_3377930.3389811 https://doi.org/10.1145/3377930.3389811
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https___rdcu.be_cxo9a https://rdcu.be/cxo9a
http___dx.doi.org_10.1007_s10710-021-09412-w http://dx.doi.org/10.1007/s10710-021-09412-w
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https___www.human-competitive.org_sites_default_files_humies_entry_schmitt.txt https://www.human-competitive.org/sites/default/files/humies_entry_schmitt.txt
https___arxiv.org_abs_2204.12846 https://arxiv.org/abs/2204.12846
https___www.human-competitive.org_sites_default_files_article_a.pdf https://www.human-competitive.org/sites/default/files/article_a.pdf
http___dx.doi.org_10.1145_3512290.3528688 http://dx.doi.org/10.1145/3512290.3528688
https___vimeo.com_723650631 https://vimeo.com/723650631
1144150 Convergence to global optima for genetic programming systems with dynamically scaled operators
LotharMSchmitt.html
StefanDroste.html
http___gpbib.cs.ucl.ac.uk_gecco2006_docs_p879.pdf http://gpbib.cs.ucl.ac.uk/gecco2006/docs/p879.pdf
http___dx.doi.org_10.1145_1143997.1144150 http://dx.doi.org/10.1145/1143997.1144150
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PeterSchmutter.html
http___www.ooop.org_publications_thesis_ http://www.ooop.org/publications/thesis/
http___www.evodi.org_publications_ooop-thesis.ps.gz http://www.evodi.org/publications/ooop-thesis.ps.gz
http___citeseer.ist.psu.edu_537098.html http://citeseer.ist.psu.edu/537098.html
conf/icwn/SchneiderAT07 Better Routing Through Genetic Programming
KevinSchneider.html
NevinAydin.html
DamlaTurgut.html
Schneider.ev2000 Evolution of Biological Information
ThomasDSchneider.html
https___doi.org_10.1093_nar_28.14.2794 https://doi.org/10.1093/nar/28.14.2794
http___alum.mit.edu_www_toms_paper_ev_ http://alum.mit.edu/www/toms/paper/ev/
http___www.ccrnp.ncifcrf.gov__toms_paper_ev_ev.pdf http://www.ccrnp.ncifcrf.gov/~toms/paper/ev/ev.pdf
http___dx.doi.org_10.1093_nar_28.14.2794 http://dx.doi.org/10.1093/nar/28.14.2794
schoelnast:2009:bachelorthesis Genetic Programming in the Context of Natural Computing
HubertSchoelnast.html
https___www.grin.com_document_148852 https://www.grin.com/document/148852
https___www.amazon.com_Genetic-Programming-Context-Natural-Computing_dp_3640594762 https://www.amazon.com/Genetic-Programming-Context-Natural-Computing/dp/3640594762
PPSN2000 Parallel Problem Solving from Nature - PPSN VI 6th International Conference
MarcSchoenauer.html
KalyanmoyDeb.html
GuenterRudolph.html
XinYao.html
EvelyneLutton.html
JuanJulianMerelo.html
Hans-PaulSchwefel.html
http___www.amazon.com_Parallel-Problem-Solving-Nature-PPSN_dp_3540410562_ref_sr_1_2_s_books_ie_UTF8_qid_1326476684_sr_1-2 http://www.amazon.com/Parallel-Problem-Solving-Nature-PPSN/dp/3540410562/ref=sr_1_2?s=books&ie=UTF8&qid=1326476684&sr=1-2
Schoenauer:2001:EUROGEN Using Domain Knowledge in Evolutionary System Identification
MarcSchoenauer.html
MicheleSebag.html
http___arxiv.org_PS_cache_cs_pdf_0602_0602021.pdf http://arxiv.org/PS_cache/cs/pdf/0602/0602021.pdf
http___arxiv.org_abs_cs_0602021 http://arxiv.org/abs/cs/0602021
Schofield:2020:CEC Evolving Simpler Constructed Features for Clustering Problems with Genetic Programming
FinnSchofield.html
AndrewLensen.html
https___www.andrewlensen.com_files_schofield2020evolving.pdf https://www.andrewlensen.com/files/schofield2020evolving.pdf
http___dx.doi.org_10.1109_CEC48606.2020.9185575 http://dx.doi.org/10.1109/CEC48606.2020.9185575
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FinnSchofield.html
AndrewLensen.html
https___openaccess.wgtn.ac.nz_ndownloader_files_29139072 https://openaccess.wgtn.ac.nz/ndownloader/files/29139072
http___dx.doi.org_10.1109_CEC45853.2021.9504848 http://dx.doi.org/10.1109/CEC45853.2021.9504848
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FinnSchofield.html
LuisSlyfield.html
AndrewLensen.html
https___openaccess.wgtn.ac.nz_ndownloader_files_39034739 https://openaccess.wgtn.ac.nz/ndownloader/files/39034739
https___rdcu.be_c8UN0 https://rdcu.be/c8UN0
http___dx.doi.org_10.1007_978-3-031-29573-7_2 http://dx.doi.org/10.1007/978-3-031-29573-7_2
Schonfeld:2015:CEC Flow of Control in Linear Genetic Programming
JustinSchonfeld.html
DanielAshlock.html
http___eldar.mathstat.uoguelph.ca_dashlock_eprints_AFC.pdf http://eldar.mathstat.uoguelph.ca/dashlock/eprints/AFC.pdf
http___dx.doi.org_10.1109_CEC.2015.7257022 http://dx.doi.org/10.1109/CEC.2015.7257022
Schorn:2022:WSC Learning Dispatching Rules for Energy-Aware Scheduling of Jobs on a Single Batch Processing Machine
DanielSaschaSchorn.html
LarsMoench.html
http___dx.doi.org_10.1109_WSC57314.2022.10015511 http://dx.doi.org/10.1109/WSC57314.2022.10015511
Schorn:2024:SM Learning Priority Indices for Energy-Aware Scheduling of Jobs on Batch Processing Machines
DanielSaschaSchorn.html
LarsMoench.html
http___dx.doi.org_10.1109_TSM.2023.3326865 http://dx.doi.org/10.1109/TSM.2023.3326865
Schossau:2020:beacon Small Implementation Differences Can Have Large Effects on Evolvability
JordenSchossau.html
ArendHintze.html
http___dx.doi.org_10.1007_978-3-030-39831-6_28 http://dx.doi.org/10.1007/978-3-030-39831-6_28
Schreittmiller:2002:fogp Langdon, W.B., Poli, R., Foundations of Genetic Programming
RobertSchreittmiller.html
http___www.scicomp.uni-erlangen.de_archives_letter_v02n04_b6 http://www.scicomp.uni-erlangen.de/archives/letter/v02n04/b6
http___www.scicomp.uni-erlangen.de_archives_letter_v02n04_b6.txt http://www.scicomp.uni-erlangen.de/archives/letter/v02n04/b6.txt
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http___www.aaai.org_ocs_index.php_FLAIRS_FLAIRS12_paper_view_4479_4770.pdf http://www.aaai.org/ocs/index.php/FLAIRS/FLAIRS12/paper/view/4479/4770.pdf
Schulenburg:thesis Can learning classifier systems represent competent traders? The stock markets trading case
SoniaSchulenburg.html
http___hdl.handle.net_1842_27352 http://hdl.handle.net/1842/27352
https___era.ed.ac.uk_bitstream_handle_1842_27352_SchulenburgS_2003redux.pdf https://era.ed.ac.uk/bitstream/handle/1842/27352/SchulenburgS_2003redux.pdf
gp4ixm Genetic Programming on IXM
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https___www.cs.unm.edu__eschulte_research_gp4ixm_gp4ixm.pdf https://www.cs.unm.edu/~eschulte/research/gp4ixm/gp4ixm.pdf
schulte10:_autom_progr_repair_evolut_assem_code Automated Program Repair through the Evolution of Assembly Code
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StephanieForrest.html
WestleyWeimer.html
http___www.cs.unm.edu__eschulte_data_ase2010-asm-preprint.pdf http://www.cs.unm.edu/~eschulte/data/ase2010-asm-preprint.pdf
http___dx.doi.org_10.1145_1858996.1859059 http://dx.doi.org/10.1145/1858996.1859059
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EthanJosephFast.html
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http___arxiv.org_abs_1204.4224 http://arxiv.org/abs/1204.4224
Schulte:2013:ARB:2451116.2451151 Automated Repair of Binary and Assembly Programs for Cooperating Embedded Devices
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WestleyWeimer.html
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http___www.cs.virginia.edu__weimer_p_schulte2013embedded.pdf http://www.cs.virginia.edu/~weimer/p/schulte2013embedded.pdf
http___dx.doi.org_10.1145_2451116.2451151 http://dx.doi.org/10.1145/2451116.2451151
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JonathanDorn.html
StephenHarding.html
StephanieForrest.html
WestleyWeimer.html
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http___doi.acm.org_10.1145_2654822.2541980 http://doi.acm.org/10.1145/2654822.2541980
http___dx.doi.org_10.1145_2541940.2541980 http://dx.doi.org/10.1145/2541940.2541980
Schulte:2014:GPEM Software mutational robustness
EricSchulte.html
ZacharyPFry.html
EthanJosephFast.html
WestleyWeimer.html
StephanieForrest.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.416.675 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.416.675
http___dx.doi.org_10.1007_s10710-013-9195-8 http://dx.doi.org/10.1007/s10710-013-9195-8
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EricSchulte.html
http___hdl.handle.net_1928_25819 http://hdl.handle.net/1928/25819
https___cs.unm.edu__eschulte_dissertation https://cs.unm.edu/~eschulte/dissertation
https___cs.unm.edu__eschulte_dissertation_schulte-dissertation.pdf https://cs.unm.edu/~eschulte/dissertation/schulte-dissertation.pdf
Schulte:2015:gi Repairing COTS Router Firmware without Access to Source Code or Test Suites: A Case Study in Evolutionary Software Repair
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WestleyWeimer.html
StephanieForrest.html
http___www0.cs.ucl.ac.uk_staff_W.Langdon_gecco2015_Schulte_2015_gi.pdf http://www0.cs.ucl.ac.uk/staff/W.Langdon/gecco2015/Schulte_2015_gi.pdf
http___doi.acm.org_10.1145_2739482.2768427 http://doi.acm.org/10.1145/2739482.2768427
http___dx.doi.org_10.1145_2739482.2768427 http://dx.doi.org/10.1145/2739482.2768427
Schulte:2018:BAR Evolving Exact Decompilation
EricSchulte.html
JasonRuchti.html
MattNoonan.html
DavidCiarletta.html
AlexeyLoginov.html
https___www.ndss-symposium.org_ndss2018_bar-workshop-programme_ https://www.ndss-symposium.org/ndss2018/bar-workshop-programme/
https___www.ndss-symposium.org_wp-content_uploads_2018_07_bar2018_8_Schulte_paper.pdf https://www.ndss-symposium.org/wp-content/uploads/2018/07/bar2018_8_Schulte_paper.pdf
http___www.cs.unm.edu__eschulte_data_bed.pdf http://www.cs.unm.edu/~eschulte/data/bed.pdf
https___github.com_nforest_awesome-decompilation https://github.com/nforest/awesome-decompilation
Schultz2008 A soft computing-based approach to spatio-temporal prediction
RubiaElizadeOliveiraSchultzAscari.html
TaniaMCenteno.html
GillesSelleron.html
MyriamRegattieriDeBiasedaSilvaDelgado.html
http___dx.doi.org_10.1016_j.ijar.2008.01.010 http://dx.doi.org/10.1016/j.ijar.2008.01.010
http___www.sciencedirect.com_science_article_B6V07-4S33N56-1_2_1ee4965901cb13c0b9ba1fe773123e54 http://www.sciencedirect.com/science/article/B6V07-4S33N56-1/2/1ee4965901cb13c0b9ba1fe773123e54
SCHULZ2013159 GPU computing in discrete optimization. Part II: Survey focused on routing problems
ChristianSchulz.html
GeirHasle.html
AndreRBrodtkorb.html
TrondRHagen.html
https___www.sciencedirect.com_science_article_pii_S2192437620600279 https://www.sciencedirect.com/science/article/pii/S2192437620600279
http___dx.doi.org_10.1007_s13676-013-0026-0 http://dx.doi.org/10.1007/s13676-013-0026-0
schuschny:1997:soglei Self-organization Through Global and Local Exchange of Information: A Schematic Model of Bank Runs
AndresRSchuschny.html
RobertoPJPerazzo.html
DanielHeymann.html
1144167 Predicting currency exchange rates by genetic programming with trigonometric functions and high-order statistics
RoySchwaerzel.html
TomBylander.html
http___gpbib.cs.ucl.ac.uk_gecco2006_docs_p955.pdf http://gpbib.cs.ucl.ac.uk/gecco2006/docs/p955.pdf
http___dx.doi.org_10.1145_1143997.1144167 http://dx.doi.org/10.1145/1143997.1144167
http___www.cs.utsa.edu__bylander_pubs_pp098-schwaerzel.pdf http://www.cs.utsa.edu/~bylander/pubs/pp098-schwaerzel.pdf
RSchwaerzel Financial Time Series Prediction and Evaluation by Genetic Programming with Trigonometric Functions and High-Order Statistics
RoySchwaerzel.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.298.6260 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.298.6260
http___www.cs.utsa.edu_uploads_theses_RSchwaerzel.pdf http://www.cs.utsa.edu/uploads/theses/RSchwaerzel.pdf
https___cs.utsa.edu_research_dissertations_page_3 https://cs.utsa.edu/research/dissertations?page=3
https___cs.utsa.edu_node_267 https://cs.utsa.edu/node/267
Schwardy:SAMI:2003 Optimization of Petri nets structure using genetic programming
EvaSchwardy.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.387.1991 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.387.1991
http___conf.uni-obuda.hu__SAMI2003_EVA.pdf http://conf.uni-obuda.hu//SAMI2003/EVA.pdf
schwartz:1996:aim Application and Evaluation of Genetic Programming for Aimpoint Selection
CareySchwartz.html
CharlesKeyes.html
ErikvanBronkhorst.html
http___spie.org_x648.html_product_id_258132 http://spie.org/x648.html?product_id=258132
http___dx.doi.org_10.1117_12.258132 http://dx.doi.org/10.1117/12.258132
Schwefel:1999:SMC Evolving solutions for design and management tasks on computers
Hans-PaulSchwefel.html
http___hdl.handle.net_2003_5376 http://hdl.handle.net/2003/5376
https___ieeexplore.ieee.org_document_823276 https://ieeexplore.ieee.org/document/823276
http___dx.doi.org_10.1109_ICSMC.1999.823276 http://dx.doi.org/10.1109/ICSMC.1999.823276
Schweim:2018:hbge On the Non-uniform Redundancy of Representations for Grammatical Evolution: The Influence of Grammars
DirkSchweim.html
AnnThorhauer.html
FranzRothlauf.html
http___dx.doi.org_10.1007_978-3-319-78717-6_3 http://dx.doi.org/10.1007/978-3-319-78717-6_3
Schweim:2021:EuroGP On the Influence of Grammars on Crossover in Grammatical Evolution
DirkSchweim.html
http___dx.doi.org_10.1007_978-3-030-72812-0_8 http://dx.doi.org/10.1007/978-3-030-72812-0_8
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DirkSchweim.html
DavidWittenberg.html
FranzRothlauf.html
https___rdcu.be_cmvW6 https://rdcu.be/cmvW6
http___dx.doi.org_10.1007_s11047-020-09828-w http://dx.doi.org/10.1007/s11047-020-09828-w
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DirkSchweim.html
DavidWittenberg.html
FranzRothlauf.html
http___dx.doi.org_10.1145_3449726.3462726 http://dx.doi.org/10.1145/3449726.3462726
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ErikHemberg.html
DominikSobania.html
Una-MayO'Reilly.html
FranzRothlauf.html
http___dx.doi.org_10.1145_3449726.3459548 http://dx.doi.org/10.1145/3449726.3459548
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https___dblp.org_rec_phd_dnb_Schweim21.bib https://dblp.org/rec/phd/dnb/Schweim21.bib
https___d-nb.info_1235777952 https://d-nb.info/1235777952
https___portal.dnb.de_opac.htm_method_simpleSearch_cqlMode_true_query_idn_3D1235777952 https://portal.dnb.de/opac.htm?method=simpleSearch&cqlMode=true&query=idn%3D1235777952
https___www.deutsche-digitale-bibliothek.de_item_YYC7M4ODKVH2F2MENMII3PVY6I3ON3SQ https://www.deutsche-digitale-bibliothek.de/item/YYC7M4ODKVH2F2MENMII3PVY6I3ON3SQ
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Schweim:2022:EuroGP Exploiting Knowledge from Code to Guide Program Search
DirkSchweim.html
ErikHemberg.html
DominikSobania.html
Una-MayO'Reilly.html
https___rdcu.be_dpy0Y https://rdcu.be/dpy0Y
http___dx.doi.org_10.1007_978-3-031-02056-8_17 http://dx.doi.org/10.1007/978-3-031-02056-8_17
Schweim:2022:CEC Effects of the Training Set Size: A Comparison of Standard and Down-Sampled Lexicase Selection in Program Synthesis
DirkSchweim.html
DominikSobania.html
FranzRothlauf.html
http___dx.doi.org_10.1109_CEC55065.2022.9870337 http://dx.doi.org/10.1109/CEC55065.2022.9870337
conf/ausai/ScobleJZ11 Eliminating Useless Object Detectors Evolved in Multiple-Objective Genetic Programming
AaronScoble.html
MarkJohnston.html
MengjieZhang.html
http___dx.doi.org_10.1007_978-3-642-25832-9_35 http://dx.doi.org/10.1007/978-3-642-25832-9_35
DBLP:conf/ausai/ScobleJZ12 Local Search in Parallel Linear Genetic Programming for Multiclass Classification
AaronScoble.html
MarkJohnston.html
MengjieZhang.html
http___dx.doi.org_10.1007_978-3-642-35101-3_32 http://dx.doi.org/10.1007/978-3-642-35101-3_32
Scoble:2013:CEC Evolutionary Spatial Auto-Correlation for Assessing Earthquake Liquefaction Potential using Parallel Linear Genetic Programming
AaronScoble.html
WillNBrowne.html
BillStephenson.html
ZaneBruce.html
MengjieZhang.html
http___dx.doi.org_10.1109_CEC.2013.6557927 http://dx.doi.org/10.1109/CEC.2013.6557927
Scott:2017:GECCO Multitask Evolution with Cartesian Genetic Programming
EricOScott.html
KennethDeJong.html
http___doi.acm.org_10.1145_3067695.3075615 http://doi.acm.org/10.1145/3067695.3075615
http___dx.doi.org_10.1145_3067695.3075615 http://dx.doi.org/10.1145/3067695.3075615
Scott:2019:CEC Automating Knowledge Transfer with Multi-Task Optimization
EricOScott.html
KennethDeJong.html
http___dx.doi.org_10.1109_CEC.2019.8790224 http://dx.doi.org/10.1109/CEC.2019.8790224
Scott:2019:GECCOcomp ECJ at 20: toward a general metaheuristics toolkit
EricOScott.html
SeanLuke.html
http___dx.doi.org_10.1145_3319619.3326865 http://dx.doi.org/10.1145/3319619.3326865
Scott:thesis Enhancing Evolutionary Algorithm Performance with Knowledge Transfer and Asynchronous Parallelism
EricOScott.html
https___mars.gmu.edu_handle_1920_13201 https://mars.gmu.edu/handle/1920/13201
https___mars.gmu.edu_bitstream_handle_1920_13201_Scott_gmu_0883E_12924.pdf https://mars.gmu.edu/bitstream/handle/1920/13201/Scott_gmu_0883E_12924.pdf
seals:2023:EvoSoft Maelstrom: An Accelerator-Compatible GP Framework
DeaconSeals.html
RobertWilkes.html
DanielRTauritz.html
http___dx.doi.org_10.1145_3583133.3596359 http://dx.doi.org/10.1145/3583133.3596359
searson:1998:cpcdGP Chemical Process Controller Design Using Genetic Programming
DominicPatrickSearson.html
MarkJWillis.html
GaryAMontague.html
http___www.staff.ncl.ac.uk_d.p.searson_docs_SearsonGP98.pdf http://www.staff.ncl.ac.uk/d.p.searson/docs/SearsonGP98.pdf
Searsoncontrol98 Evolutionary design of process controllers
DominicPatrickSearson.html
GaryAMontague.html
MarkJWillis.html
http___www.staff.ncl.ac.uk_d.p.searson_docs_Searsoncontrol98.pdf http://www.staff.ncl.ac.uk/d.p.searson/docs/Searsoncontrol98.pdf
Searson:1999:MIC Improving controller performance using genetically evolved structures with co-adaptation
DominicPatrickSearson.html
MarkJWillis.html
GaryAMontague.html
http___www.staff.ncl.ac.uk_d.p.searson_docs_SearsonMIC99.pdf http://www.staff.ncl.ac.uk/d.p.searson/docs/SearsonMIC99.pdf
searson:thesis Non-linear PLS using genetic programming
DominicPatrickSearson.html
http___www.staff.ncl.ac.uk_d.p.searson_docs_SearsonGP_PLS.pdf http://www.staff.ncl.ac.uk/d.p.searson/docs/SearsonGP_PLS.pdf
http___ethos.bl.uk_OrderDetails.do_did_1_uin_uk.bl.ethos.246644 http://ethos.bl.uk/OrderDetails.do?did=1&uin=uk.bl.ethos.246644
Searson:2007:JC Co-evolution of non-linear PLS model components
DominicPatrickSearson.html
MarkJWillis.html
GaryAMontague.html
http___dx.doi.org_10.1002_cem.1084 http://dx.doi.org/10.1002/cem.1084
GPTIPSGuide GPTIPS User Guide (genetic programming \& symbolic regression for MATLAB)
DominicPatrickSearson.html
http___sites.google.com_site_gptips4matlab_file-cabinet_GPTIPSGuide1.0.pdf http://sites.google.com/site/gptips4matlab/file-cabinet/GPTIPSGuide1.0.pdf
http___sites.google.com_site_gptips4matlab_file-cabinet_ http://sites.google.com/site/gptips4matlab/file-cabinet/
Searson:2010:IMECS GPTIPS: An Open Source Genetic Programming Toolbox For Multigene Symbolic Regression
DominicPatrickSearson.html
DavidELeahy.html
MarkJWillis.html
https___eprints.ncl.ac.uk_183377 https://eprints.ncl.ac.uk/183377
http___www.iaeng.org_publication_IMECS2010_IMECS2010_pp77-80.pdf http://www.iaeng.org/publication/IMECS2010/IMECS2010_pp77-80.pdf
http___sites.google.com_site_gptips4matlab_ http://sites.google.com/site/gptips4matlab/
searson:2011:ICCE Predicting the Toxicity of Chemical Compounds Using GPTIPS: A Free Genetic Programming Toolbox for MATLAB
DominicPatrickSearson.html
DavidELeahy.html
MarkJWillis.html
http___link.springer.com_chapter_10.1007_978-94-007-0286-8_8 http://link.springer.com/chapter/10.1007/978-94-007-0286-8_8
http___dx.doi.org_10.1007_978-94-007-0286-8_8 http://dx.doi.org/10.1007/978-94-007-0286-8_8
Searson:2015:hbgpa GPTIPS 2: An Open-Source Software Platform for Symbolic Data Mining
DominicPatrickSearson.html
http___arxiv.org_abs_1412.4690 http://arxiv.org/abs/1412.4690
http___arxiv.org_pdf_1412.4690v1.pdf http://arxiv.org/pdf/1412.4690v1.pdf
http___www.ncl.ac.uk_computing_research_publication_210719 http://www.ncl.ac.uk/computing/research/publication/210719
http___dx.doi.org_10.1007_978-3-319-20883-1_22 http://dx.doi.org/10.1007/978-3-319-20883-1_22
Seaton:2010:EuroGP Analytic Solutions to Differential Equations under Graph-based Genetic Programming
TomSeaton.html
GavinBrown.html
JulianFMiller.html
http___dx.doi.org_10.1007_978-3-642-12148-7_20 http://dx.doi.org/10.1007/978-3-642-12148-7_20
seaton:2012:EuroGP An Ecological Approach to Measuring Locality in Linear Genotype to Phenotype Maps
TomSeaton.html
JulianFMiller.html
TimClarke.html
http___dx.doi.org_10.1007_978-3-642-29139-5_15 http://dx.doi.org/10.1007/978-3-642-29139-5_15
Seaton:thesis Locality in the Evolutionary Optimisation of Programs
TomSeaton.html
http___etheses.whiterose.ac.uk_3939_ http://etheses.whiterose.ac.uk/3939/
http___etheses.whiterose.ac.uk_3939_1_Thesis.zip http://etheses.whiterose.ac.uk/3939/1/Thesis.zip
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http___ethos.bl.uk_OrderDetails.do_did_43_uin_uk.bl.ethos.572401 http://ethos.bl.uk/OrderDetails.do?did=43&uin=uk.bl.ethos.572401
seaton:2013:EuroGP Semantic Bias in Program Coevolution
TomSeaton.html
JulianFMiller.html
TimClarke.html
https___citeseerx.ist.psu.edu_viewdoc_download_doi_10.1.1.568.5374_rep_rep1_type_pdf https://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.568.5374&rep=rep1&type=pdf
http___dx.doi.org_10.1007_978-3-642-37207-0_17 http://dx.doi.org/10.1007/978-3-642-37207-0_17
sebag:1995:imGP1 Identification of Mechanical Behaviour by Genetic Programming Part I: Rheological Formulation
MicheleSebag.html
HabibouMaitournam.html
MarcSchoenauer.html
sebag:1995:imGP2 Identification of Mechanical Behaviour by Genetic Programming Part II: Energy Formulation
MarcSchoenauer.html
BertrandLamy.html
FrancoisJouve.html
schoenauer:1996:aigp2 Evolutionary Identification of Macro-Mechanical Models
MarcSchoenauer.html
MicheleSebag.html
FrancoisJouve.html
BertrandLamy.html
HabibouMaitournam.html
http___citeseer.ist.psu.edu_cache_papers_cs_902_http_zSzzSzwww.eeaax.polytechnique.frzSzpaperszSzmarczSzAGP2.pdf_schoenauer96evolutionary.pdf http://citeseer.ist.psu.edu/cache/papers/cs/902/http:zSzzSzwww.eeaax.polytechnique.frzSzpaperszSzmarczSzAGP2.pdf/schoenauer96evolutionary.pdf
http___www.cmap.polytechnique.fr__jouve_papers_AGP2.pdf http://www.cmap.polytechnique.fr/~jouve/papers/AGP2.pdf
http___citeseer.ist.psu.edu_155790.html http://citeseer.ist.psu.edu/155790.html
http___ieeexplore.ieee.org_xpl_articleDetails.jsp_tp__arnumber_6277524 http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6277524
http___dx.doi.org_10.7551_mitpress_1109.003.0030 http://dx.doi.org/10.7551/mitpress/1109.003.0030
SebSch97 Parametric and non-parametric identification of macro-mechanical models
MicheleSebag.html
MarcSchoenauer.html
HabibouMaitournam.html
http___citeseer.ist.psu.edu_cache_papers_cs_20959_http_zSzzSzwww.eeaax.polytechnique.frzSzpaperszSzmarczSzeurogen97.pdf_sebag97parametric.pdf http://citeseer.ist.psu.edu/cache/papers/cs/20959/http:zSzzSzwww.eeaax.polytechnique.frzSzpaperszSzmarczSzeurogen97.pdf/sebag97parametric.pdf
http___citeseer.ist.psu.edu_sebag97parametric.html http://citeseer.ist.psu.edu/sebag97parametric.html
http___www.amazon.com_exec_obidos_ASIN_0471977101_qid_3D977328943_sr_3D1-1_002-5868922-2651240 http://www.amazon.com/exec/obidos/ASIN/0471977101/qid%3D977328943/sr%3D1-1/002-5868922-2651240
Sedano:2015:PCS Towards Generating Essence Kernels Using Genetic Algorithms
ToddSedano.html
CecilePeraire.html
JasonLohn.html
http___dx.doi.org_10.1016_j.procs.2015.08.410 http://dx.doi.org/10.1016/j.procs.2015.08.410
http___www.sciencedirect.com_science_article_pii_S1877050915025454 http://www.sciencedirect.com/science/article/pii/S1877050915025454
sedlacek:2023:GECCOcomp Evolution of Editing Scripts From Examples
MarekSedlacek.html
LukasSekanina.html
http___dx.doi.org_10.1145_3583133.3590565 http://dx.doi.org/10.1145/3583133.3590565
1068074 Discovering biological motifs with genetic programming
RolvSeehuus.html
AmundTveit.html
OleEdsberg.html
http___gpbib.cs.ucl.ac.uk_gecco2005_docs_p401.pdf http://gpbib.cs.ucl.ac.uk/gecco2005/docs/p401.pdf
http___dx.doi.org_10.1145_1068009.1068074 http://dx.doi.org/10.1145/1068009.1068074
conf/kes/Seehuus05 Protein Motif Discovery with Linear Genetic Programming
RolvSeehuus.html
http___dx.doi.org_10.1007_11553939_109 http://dx.doi.org/10.1007/11553939_109
SeesingG06 A Genetic Programming Approach to Automated Test Generation for Object-Oriented Software
ArjanSeesing.html
Hans-GerhardGross.html
http___www.st.ewi.tudelft.nl__gross_Publications_Seesing_2006.pdf http://www.st.ewi.tudelft.nl/~gross/Publications/Seesing_2006.pdf
SeesingG06b A Genetic Programming Approach to Automated Test Generation for Object Oriented Software
Hans-GerhardGross.html
ArjanSeesing.html
http___www.st.ewi.tudelft.nl__gross_Publications_TUD-SERG-2006-017.pdf http://www.st.ewi.tudelft.nl/~gross/Publications/TUD-SERG-2006-017.pdf
http___swerl.tudelft.nl_twiki_pub_Main_TechnicalReports_TUD-SERG-2006-017.pdf http://swerl.tudelft.nl/twiki/pub/Main/TechnicalReports/TUD-SERG-2006-017.pdf
SeesingG06c A Genetic Programming Approach to Automated Test Generation for Object-Oriented Software
ArjanSeesing.html
Hans-GerhardGross.html
http___citeseerx.ist.psu.edu_viewdoc_download_doi_10.1.1.97.4413_rep_rep1_type_pdf http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.97.4413&rep=rep1&type=pdf
Seesing:mastersthesis EvoTest Test Case Generation Using Genetic Programming and Software Analysis
ArjanSeesing.html
http___swerl.tudelft.nl_bin_view_Main_ArjanSeesing http://swerl.tudelft.nl/bin/view/Main/ArjanSeesing
http___swerl.tudelft.nl_twiki_pub_Main_ArjanSeesing_thesis_final_submitted.pdf http://swerl.tudelft.nl/twiki/pub/Main/ArjanSeesing/thesis_final_submitted.pdf
DBLP:journals/itssa/SeesingG06 A Genetic Programming Approach to Automated Test Generation for Object-Oriented Software
ArjanSeesing.html
Hans-GerhardGross.html
http___siwn.org.uk_press_sai_itssa0001.htm http://siwn.org.uk/press/sai/itssa0001.htm
segal:1994:birds Concurrent Evolution of Territory Defining Behavior in Birds Using Genetic Programming
JulieSegal.html
Segapeli:1997:DGP DGP: How To Improve Genetic Programming with Duals
J-LSegapeli.html
CathyEscazut.html
PhilippeCollard.html
http___dx.doi.org_10.1007_978-3-7091-6492-1_90 http://dx.doi.org/10.1007/978-3-7091-6492-1_90
Segaran:2007:PCI Evolving Intelligence
TobySegaran.html
http___shop.oreilly.com_product_9780596529321.do http://shop.oreilly.com/product/9780596529321.do
Segarceanu:2014:CR Book review: Genetic Programming Theory and Practice X
SvetlanaSegarceanu.html
http___www.computingreviews.com http://www.computingreviews.com
http___computingreviews.com_review_Review_review.cfm_review_id_142456 http://computingreviews.com/review/Review_review.cfm?review_id=142456
Segatori:thesis Classification Algorithms for Big Data over distributed processing frameworks
ArmandoSegatori.html
https___etd.adm.unipi.it_t_etd-05112016-155709_ https://etd.adm.unipi.it/t/etd-05112016-155709/
https___etd.adm.unipi.it_theses_available_etd-05112016-155709_unrestricted_Segatori_PhD_Thesis.pdf https://etd.adm.unipi.it/theses/available/etd-05112016-155709/unrestricted/Segatori_PhD_Thesis.pdf
eurogp06:SegondRobilliardFonlupt Iterative Filter Generation using Genetic Programming
MarcSegond.html
DenisRobilliard.html
CyrilFonlupt.html
http___dx.doi.org_10.1007_11729976_13 http://dx.doi.org/10.1007/11729976_13
journals/jsw/SegondRMF06 Evolutionary Computing for Detection of Retentive Structures in Coastal Waters
MarcSegond.html
DenisRobilliard.html
VirginieMarion-Poty.html
CyrilFonlupt.html
http___www.academypublisher.com_jsw_vol01_no03_jsw01031423.html http://www.academypublisher.com/jsw/vol01/no03/jsw01031423.html
http___www.academypublisher.com_jsw_vol01_no03_jsw01031423.pdf http://www.academypublisher.com/jsw/vol01/no03/jsw01031423.pdf
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.147.3198 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.147.3198
http___www-lil.univ-littoral.fr__robillia_Publis_06_ECRetentiveStructures.pdf http://www-lil.univ-littoral.fr/~robillia/Publis/06_ECRetentiveStructures.pdf
Segond:thesis Algorithmes bio-mimetiques pour la reconnaissance de formes et l'apprentissage
MarcSegond.html
http___www-lisic.univ-littoral.fr_IMG_pdf_theseSegond.pdf http://www-lisic.univ-littoral.fr/IMG/pdf/theseSegond.pdf
DBLP:conf/gecco/SegondFR09 Genetic programming for protein related text classification
MarcSegond.html
CyrilFonlupt.html
DenisRobilliard.html
http___dx.doi.org_10.1145_1569901.1570049 http://dx.doi.org/10.1145/1569901.1570049
Segovia:1997:GPahNNlr Genetic Programming For Designing Ad Hoc Neural Network Learning Rules
JavierSegovia.html
PedroIsasiVinuela.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_gp1997_Segovia_1997_GPahNNlr.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/gp1997/Segovia_1997_GPahNNlr.pdf
Segovia:2000:GECCO Evaluations of Genetic Programming and Neural Networks Techniques for Nuclear Material Identification
SaraAPozzi.html
JavierSegovia.html
http___gpbib.cs.ucl.ac.uk_gecco2000_RW225.pdf http://gpbib.cs.ucl.ac.uk/gecco2000/RW225.pdf
Seidel:2019:CACM Autonomous Tools and Design: A Triple-Loop Approach to Human-Machine Learning
StefanSeidel.html
NicholasBerente.html
AronLindberg.html
KalleLyytinen.html
JeffreyVNickerson.html
http___dx.doi.org_10.1145_3210753 http://dx.doi.org/10.1145/3210753
Seidel:2020:JDSR Artificial Intelligence and Video Game Creation: A Framework for the New Logic of Autonomous Design
StefanSeidel.html
NicholasBerente.html
AronLindberg.html
KalleLyytinen.html
BenoitMartinez.html
JeffreyVNickerson.html
https___jdsr.se_ojs_index.php_jdsr_article_view_46 https://jdsr.se/ojs/index.php/jdsr/article/view/46
http___dx.doi.org_10.33621_jdsr.v2i3.46 http://dx.doi.org/10.33621/jdsr.v2i3.46
1277400 Controller design based on genetic programming
IvanSekaj.html
JurajPerkacz.html
TomasPalenik.html
http___gpbib.cs.ucl.ac.uk_gecco2007_docs_p2265.pdf http://gpbib.cs.ucl.ac.uk/gecco2007/docs/p2265.pdf
http___dx.doi.org_10.1145_1276958.1277400 http://dx.doi.org/10.1145/1276958.1277400
Sekaj:2007:cec Genetic Programming - based Controller Design
IvanSekaj.html
JurajPerkacz.html
http___dx.doi.org_10.1109_CEC.2007.4424626 http://dx.doi.org/10.1109/CEC.2007.4424626
Sekaj:2009:EC Evolutionary Based Controller Design
IvanSekaj.html
http___www.intechopen.com_download_pdf_pdfs_id_10935 http://www.intechopen.com/download/pdf/pdfs_id/10935
http___dx.doi.org_10.5772_9620 http://dx.doi.org/10.5772/9620
http___www.intechopen.com_articles_show_title_evolutionary-based-controller-design http://www.intechopen.com/articles/show/title/evolutionary-based-controller-design
Sekaj:2012:mendel Cartesian Genetic Programming Based Controller Design
IvanSekaj.html
BranislavKadlic.html
TomasGasparik.html
sekanina03 From Implementations to a General Concept of Evolvable Machines
LukasSekanina.html
http___dx.doi.org_10.1007_3-540-36599-0_40 http://dx.doi.org/10.1007/3-540-36599-0_40
Sekanina:2004:SOFSEM Evolving Constructors for Infinitely Growing Sorting Networks and Medians
LukasSekanina.html
http___www.fit.vutbr.cz__sekanina_publ_sofsem04_sofsem04.pdf http://www.fit.vutbr.cz/~sekanina/publ/sofsem04/sofsem04.pdf
http___www.fit.vutbr.cz_research_view_pub.php_id_7368 http://www.fit.vutbr.cz/research/view_pub.php?id=7368
http___dx.doi.org_10.1007_b95046 http://dx.doi.org/10.1007/b95046
sekanina:evows04 Evolutionary Design Space Exploration for Median Circuits
LukasSekanina.html
http___www.fit.vutbr.cz__sekanina_publ_evohot04_evohot04.pdf http://www.fit.vutbr.cz/~sekanina/publ/evohot04/evohot04.pdf
http___dx.doi.org_10.1007_978-3-540-24653-4_25 http://dx.doi.org/10.1007/978-3-540-24653-4_25
sekanina:2005:GPEM Evolutionary Design of Arbitrarily Large Sorting Networks Using Development
LukasSekanina.html
MichalBidlo.html
http___www.genetic-programming.org_hc2005_genp05.pdf http://www.genetic-programming.org/hc2005/genp05.pdf
http___dx.doi.org_10.1007_s10710-005-2987-8 http://dx.doi.org/10.1007/s10710-005-2987-8
Sekanina:2006:CEC Extrinsic and Intrinsic Evolution of Multifunctional Combinational
LukasSekanina.html
TomasMartinek.html
ZbysekGajda.html
http___www.fit.vutbr.cz__sekanina_publ_cec06_cec06.pdf http://www.fit.vutbr.cz/~sekanina/publ/cec06/cec06.pdf
http___dx.doi.org_10.1109_CEC.2006.1688656 http://dx.doi.org/10.1109/CEC.2006.1688656
Sekanina:2011:GECCOcomp Evolution of digital circuits
LukasSekanina.html
http___dx.doi.org_10.1145_2001858.2002140 http://dx.doi.org/10.1145/2001858.2002140
Sekanina:2011:CGP.ch5 Evolution of Electronic Circuits
LukasSekanina.html
JamesAlfredWalker.html
PaulKaufmann.html
MarcoPlatzner.html
http___www.springer.com_computer_theoretical_computer_science_book_978-3-642-17309-7 http://www.springer.com/computer/theoretical+computer+science/book/978-3-642-17309-7
http___dx.doi.org_10.1007_978-3-642-17310-3_5 http://dx.doi.org/10.1007/978-3-642-17310-3_5
Sekanina:2011:CGP.ch6 Image Processing and CGP
LukasSekanina.html
SimonHarding.html
WolfgangBanzhaf.html
TarasKowaliw.html
http___www.springer.com_computer_theoretical_computer_science_book_978-3-642-17309-7 http://www.springer.com/computer/theoretical+computer+science/book/978-3-642-17309-7
http___dx.doi.org_10.1007_978-3-642-17310-3_6 http://dx.doi.org/10.1007/978-3-642-17310-3_6
Sekanina:2011:CGP.ch7 CGP Acceleration Using Field-Programmable Gate Arrays
LukasSekanina.html
ZdenekVasicek.html
http___www.springer.com_computer_theoretical_computer_science_book_978-3-642-17309-7 http://www.springer.com/computer/theoretical+computer+science/book/978-3-642-17309-7
http___dx.doi.org_10.1007_978-3-642-17310-3_7 http://dx.doi.org/10.1007/978-3-642-17310-3_7
Sekanina:2012:DATE Towards new applications of multi-function logic: Image multi-filtering
LukasSekanina.html
VojtechSalajka.html
http___ieeexplore.ieee.org_xpl_articleDetails.jsp_tp__arnumber_6176608 http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6176608
http___dx.doi.org_10.1109_DATE.2012.6176608 http://dx.doi.org/10.1109/DATE.2012.6176608
Sekanina:2012:DATE2 A SAT-based fitness function for evolutionary optimization of polymorphic circuits
LukasSekanina.html
ZdenekVasicek.html
http___ieeexplore.ieee.org_xpl_articleDetails.jsp_tp__arnumber_6176563 http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6176563
http___dx.doi.org_10.1109_DATE.2012.6176563 http://dx.doi.org/10.1109/DATE.2012.6176563
Sekanina:2010:DDECS Evolutionary circuit design: Tutorial
LukasSekanina.html
http___dx.doi.org_10.1109_DDECS.2010.5491830 http://dx.doi.org/10.1109/DDECS.2010.5491830
Sekanina:2012:CEC Two-Step Evolution of Polymorphic Circuits for Image Multi-Filtering
LukasSekanina.html
VojtechSalajka.html
ZdenekVasicek.html
http___dx.doi.org_10.1109_CEC.2012.6256164 http://dx.doi.org/10.1109/CEC.2012.6256164
Sekanina:2013:ICES Approximate circuit design by means of evolvable hardware
LukasSekanina.html
ZdenekVasicek.html
http___dx.doi.org_10.1109_ICES.2013.6613278 http://dx.doi.org/10.1109/ICES.2013.6613278
Sekanina:2014:CEC Cartesian Genetic Programming as Local Optimizer of Logic Networks
LukasSekanina.html
OndrejPtak.html
ZdenekVasicek.html
https___www.fit.vut.cz_research_publication-file_10504_localres_final.pdf https://www.fit.vut.cz/research/publication-file/10504/localres_final.pdf
https___www.fit.vut.cz_research_publication_10504 https://www.fit.vut.cz/research/publication/10504
http___dx.doi.org_10.1109_CEC.2014.6900326 http://dx.doi.org/10.1109/CEC.2014.6900326
Sekanina:2015:WAPCO Evolutionary Computing in Approximate Circuit Design and Optimization
LukasSekanina.html
ZdenekVasicek.html
http___wapco.inf.uth.gr_papers_SESSION1_WAPCO_1_5.pdf http://wapco.inf.uth.gr/papers/SESSION1/WAPCO_1_5.pdf
Sekanina:2015:EHPA Functional Equivalence Checking for Evolution of Complex Digital Circuits
LukasSekanina.html
ZdenekVasicek.html
http___www.fit.vutbr.cz_research_view_pub.php_id_10396 http://www.fit.vutbr.cz/research/view_pub.php?id=10396
http___dx.doi.org_10.1007_978-3-662-44616-4_6 http://dx.doi.org/10.1007/978-3-662-44616-4_6
Sekanina:2016:WAPCO Genetic Improvement for Approximate Computing
LukasSekanina.html
ZdenekVasicek.html
http___wapco.inf.uth.gr_papers_SESSION2_wapco2016_2_5.pdf http://wapco.inf.uth.gr/papers/SESSION2/wapco2016_2_5.pdf
Sekanina:2016:GECCOcomp Visualisation and Analysis of Genetic Records Produced by Cartesian Genetic Programming
LukasSekanina.html
VlastimilKapusta.html
http___dx.doi.org_10.1145_2908961.2931740 http://dx.doi.org/10.1145/2908961.2931740
Sekanina:2017:miller Approximate Computing: An Old Job for Cartesian Genetic Programming?
LukasSekanina.html
http___dx.doi.org_10.1007_978-3-319-67997-6_9 http://dx.doi.org/10.1007/978-3-319-67997-6_9
2968 Approximate Circuits in Low-Power Image and Video Processing: The Approximate Median Filter
LukasSekanina.html
ZdenekVasicek.html
VojtechMrazek.html
https___www.radioeng.cz_papers_2017-3.htm https://www.radioeng.cz/papers/2017-3.htm
https___www.radioeng.cz_fulltexts_2017_17_03_0623_0632.pdf https://www.radioeng.cz/fulltexts/2017/17_03_0623_0632.pdf
http___dx.doi.org_10.13164_re.2017.0623 http://dx.doi.org/10.13164/re.2017.0623
Sekanina:2019:GP EuroGP 2019: Proceedings of the 22nd European Conference on Genetic Programming
LukasSekanina.html
TingHu.html
NunoLourenco.html
https___www.springer.com_us_book_9783030166694 https://www.springer.com/us/book/9783030166694
http___dx.doi.org_10.1007_978-3-030-16670-0 http://dx.doi.org/10.1007/978-3-030-16670-0
Sekanina:2019:AC Automated Search-Based Functional Approximation for Digital Circuits
LukasSekanina.html
ZdenekVasicek.html
VojtechMrazek.html
http___dx.doi.org_10.1007_978-3-319-99322-5_9 http://dx.doi.org/10.1007/978-3-319-99322-5_9
Selle20111 Testing the structure of a hydrological model using Genetic Programming
BennySelle.html
NitinMuttil.html
https___vuir.vu.edu.au_7620_1_04_20-_20Testing_20the_20Structure_20of_20Hydrological_20Models_20using_20GP.pdf https://vuir.vu.edu.au/7620/1/04%20-%20Testing%20the%20Structure%20of%20Hydrological%20Models%20using%20GP.pdf
http___www.sciencedirect.com_science_article_B6V6C-51JXFSR-1_2_10682f600e603f8019d0df938a9e5c6f http://www.sciencedirect.com/science/article/B6V6C-51JXFSR-1/2/10682f600e603f8019d0df938a9e5c6f
http___dx.doi.org_10.1016_j.jhydrol.2010.11.009 http://dx.doi.org/10.1016/j.jhydrol.2010.11.009
Selvi:2022:ICAIS Fault Prediction for Large Scale Projects Using Deep Learning Techniques
RThirumalaiSelvi.html
PPatchaiammal.html
http___dx.doi.org_10.1109_ICAIS53314.2022.9743054 http://dx.doi.org/10.1109/ICAIS53314.2022.9743054
Semenkin:2012:BIOMA Artificial neural networks design with self-configuring genetic programming algorithm
EugeneSemenkin.html
MariaSemenkina.html
Semenkin:2012:CEC Self-configuring genetic programming algorithm with modified uniform crossover
EugeneSemenkin.html
MariaSemenkina.html
http___dx.doi.org_10.1109_CEC.2012.6256587 http://dx.doi.org/10.1109/CEC.2012.6256587
conf/softcomp/SemenkinSP12 Neural Network Ensembles Design with Self-Configuring Genetic Programming Algorithm for Solving Computer Security Problems
EugeneSemenkin.html
MariaSemenkina.html
IliaPanfilov.html
http___dx.doi.org_10.1007_978-3-642-33018-6_3 http://dx.doi.org/10.1007/978-3-642-33018-6_3
conf/icannga/SemenkinaS13 Classifier Ensembles Integration with Self-configuring Genetic Programming Algorithm
MariaSemenkina.html
EugeneSemenkin.html
http___dx.doi.org_10.1007_978-3-642-37213-1 http://dx.doi.org/10.1007/978-3-642-37213-1
http___dx.doi.org_10.1007_978-3-642-37213-1_7 http://dx.doi.org/10.1007/978-3-642-37213-1_7
conf/swarm/SemenkinaS15 Memetic Self-Configuring Genetic Programming for Fuzzy Classifier Ensemble Design
MariaSemenkina.html
EugeneSemenkin.html
http___dx.doi.org_10.1007_978-3-319-20466-6 http://dx.doi.org/10.1007/978-3-319-20466-6
Semenkina:2015:IIAI-AAI Memetic Self-Configuring Genetic Programming for Solving Machine Learning Problems
MariaSemenkina.html
EugeneSemenkin.html
http___dx.doi.org_10.1109_IIAI-AAI.2015.290 http://dx.doi.org/10.1109/IIAI-AAI.2015.290
Semenkina:2019:EUROCAST Genetic Programming Based Evolvement of Models of Models
MariiaSemenkina.html
BogdanBurlacu.html
MichaelAffenzeller.html
http___dx.doi.org_10.1007_978-3-030-45093-9_47 http://dx.doi.org/10.1007/978-3-030-45093-9_47
Semente:2014:I2MTC CRYSEED: An Automatic 8-bit Cryptographic Algorithm Developed with Genetic Programming
RodrigoSoaresSemente.html
AndresOrtizSalazar.html
FelipeDenisMendoncadeOliveira.html
http___dx.doi.org_10.1109_I2MTC.2014.6860905 http://dx.doi.org/10.1109/I2MTC.2014.6860905
Sen20124115 A KdV-like advection-dispersion equation with some remarkable properties
AbhijitSen.html
DilipPAhalpara.html
AnantanarayananThyagaraja.html
GovindSKrishnaswami.html
http___dx.doi.org_10.1016_j.cnsns.2012.03.001 http://dx.doi.org/10.1016/j.cnsns.2012.03.001
http___www.sciencedirect.com_science_article_pii_S100757041200113X http://www.sciencedirect.com/science/article/pii/S100757041200113X
sen:1998:DDASTUGP Designing Digital Adder Structures Through the Use of Genetic Programming
PradeepSen.html
Sen:2009:WiSec A grammatical evolution approach to intrusion detection on mobile ad hoc networks
SevilSen.html
JohnAClark.html
http___dx.doi.org_10.1145_1514274.1514289 http://dx.doi.org/10.1145/1514274.1514289
SevilSen Evolutionary Computation Techniques for Intrusion Detection in Mobile Ad Hoc Networks
SevilSen.html
http___www.cs.york.ac.uk_nature_group_theses_SevilSen.pdf http://www.cs.york.ac.uk/nature/group/theses/SevilSen.pdf
journals/jifs/SenSGY12 On sampling strategies for small and continuous data with the modeling of genetic programming and adaptive neuro-fuzzy inference system
SevilSen.html
EbruAkcapinarSezer.html
CandanGokceoglu.html
SaffetYagiz.html
http___dx.doi.org_10.3233_IFS-2012-0521 http://dx.doi.org/10.3233/IFS-2012-0521
Sen:2015:BCT Chapter 4 - A Survey of Intrusion Detection Systems Using Evolutionary Computation
SevilSen.html
http___dx.doi.org_10.1016_B978-0-12-801538-4.00004-5 http://dx.doi.org/10.1016/B978-0-12-801538-4.00004-5
http___www.sciencedirect.com_science_article_pii_B9780128015384000045 http://www.sciencedirect.com/science/article/pii/B9780128015384000045
Senatore:2019:info Automatic Diagnosis of Neurodegenerative Diseases: An Evolutionary Approach for Facing the Interpretability Problem
RosaSenatore.html
AntonioDellaCioppa.html
AngeloMarcelli.html
https___www.mdpi.com_2078-2489_10_1_30.pdf https://www.mdpi.com/2078-2489/10/1/30.pdf
http___dx.doi.org_10.3390_info10010030 http://dx.doi.org/10.3390/info10010030
Senatore:2019:CBMS Automatic Diagnosis of Parkinson Disease through Handwriting Analysis: A Cartesian Genetic Programming Approach
RosaSenatore.html
AntonioDellaCioppa.html
AngeloMarcelli.html
http___dx.doi.org_10.1109_CBMS.2019.00071 http://dx.doi.org/10.1109/CBMS.2019.00071
Senda:2008:SICE On the possibility of Priority-Based Road Traffic Control
YoshiakiSenda.html
IvanTTanev.html
KatsunoriShimohara.html
http___dx.doi.org_10.1109_SICE.2008.4654899 http://dx.doi.org/10.1109/SICE.2008.4654899
Senkerik:2012:mendel Evolutionary Synthesis of Rules for Stabilization of Evolutionary Selected Discrete Chaotic Systems
RomanSenkerik.html
ZuzanaOplatkova.html
IvanZelinka.html
https___publikace.k.utb.cz_handle_10563_1004707_locale-attribute_en https://publikace.k.utb.cz/handle/10563/1004707?locale-attribute=en
Senn:2011:Africon Analog circuit synthesis using two-port theory and genetic programming
AndreasSenn.html
AndreasPeter.html
JanGKorvink.html
http___dx.doi.org_10.1109_AFRCON.2011.6072054 http://dx.doi.org/10.1109/AFRCON.2011.6072054
conf/socpros/SenthilnathOMVD12 Multi-Temporal Satellite Image Analysis Using Gene Expression Programming
JSenthilnath.html
SNOmkar.html
VMani.html
AshokaVanjare.html
PGDiwakar.html
http___dx.doi.org_10.1007_978-81-322-1602-5 http://dx.doi.org/10.1007/978-81-322-1602-5
kisungseo:2001:gecco First Steps toward Automated Design of Mechatronic Systems Using Bond Graphs and Genetic Programming
KisungSeo.html
ErikGoodman.html
RonaldCRosenberg.html
http___garage.cse.msu.edu_papers_GARAGe01-07-03.pdf http://garage.cse.msu.edu/papers/GARAGe01-07-03.pdf
http___citeseer.ist.psu.edu_445817.html http://citeseer.ist.psu.edu/445817.html
http___gpbib.cs.ucl.ac.uk_gecco2001_d02.pdf http://gpbib.cs.ucl.ac.uk/gecco2001/d02.pdf
seo:2002:IJCSS Automated Design Approaches for Multi-Domain Dynamic Systems Using Bond Graphs and Genetic Programming
KisungSeo.html
JianjunHu.html
ZhunFan.html
ErikGoodman.html
RonaldCRosenberg.html
http___www.informatik.uni-trier.de__ley_db_journals_ijcss_ijcss3.html http://www.informatik.uni-trier.de/~ley/db/journals/ijcss/ijcss3.html
http___www.egr.msu.edu_GARAGe02-01-02_IJCSS_3_1_2002.pdf http://www.egr.msu.edu/GARAGe02-01-02_IJCSS_3_1_2002.pdf
seo:2003:M Toward a unified and automated design methodology for multi-domain dynamic systems using bond graphs and genetic programming
KisungSeo.html
ZhunFan.html
JianjunHu.html
ErikGoodman.html
RonaldCRosenberg.html
http___www-rcf.usc.edu__jianjunh_paper_mechatronics_gpbg.pdf http://www-rcf.usc.edu/~jianjunh/paper/mechatronics_gpbg.pdf
http___dx.doi.org_10.1016_S0957-4158_03_00006-0 http://dx.doi.org/10.1016/S0957-4158(03)00006-0
http___www.sciencedirect.com_science_article_B6V43-485XGFN-1_2_54359d4201bcd9935e6dbc231bbc7334 http://www.sciencedirect.com/science/article/B6V43-485XGFN-1/2/54359d4201bcd9935e6dbc231bbc7334
seo4:2003:gecco Dense and Switched Modular Primitives for Bond Graph Model Design
KisungSeo.html
ZhunFan.html
JianjunHu.html
ErikGoodman.html
RonaldCRosenberg.html
http___garage.cse.msu.edu_papers_GARAGe03-07-03.pdf http://garage.cse.msu.edu/papers/GARAGe03-07-03.pdf
http___dx.doi.org_10.1007_3-540-45110-2_68 http://dx.doi.org/10.1007/3-540-45110-2_68
1068381 Design of air pump system using bond graph and genetic programming method
KisungSeo.html
ErikGoodman.html
RonaldCRosenberg.html
http___gpbib.cs.ucl.ac.uk_gecco2005_docs_p2215.pdf http://gpbib.cs.ucl.ac.uk/gecco2005/docs/p2215.pdf
http___dx.doi.org_10.1145_1068009.1068381 http://dx.doi.org/10.1145/1068009.1068381
Seo:2008:gecco Genetic programming based automatic gait generation for quadruped robots
KisungSeo.html
SoohwanHyun.html
http___gpbib.cs.ucl.ac.uk_gecco2008_docs_p293.pdf http://gpbib.cs.ucl.ac.uk/gecco2008/docs/p293.pdf
http___dx.doi.org_10.1145_1389095.1389145 http://dx.doi.org/10.1145/1389095.1389145
DBLP:conf/gecco/SeoHG09 Tree-structure-aware GP operators for automatic gait generation of quadruped robot
KisungSeo.html
SoohwanHyun.html
ErikGoodman.html
http___dx.doi.org_10.1145_1570256.1570293 http://dx.doi.org/10.1145/1570256.1570293
Seo:2010:EvoINTELLIGENCE Scale and Rotation-Robust Genetic Programming-Based Corner Detectors
KisungSeo.html
YoungkyunKim.html
http___dx.doi.org_10.1007_978-3-642-12239-2_40 http://dx.doi.org/10.1007/978-3-642-12239-2_40
conf/evoW/SeoH10 A Comparative Study between Genetic Algorithm and Genetic Programming Based Gait Generation Methods for Quadruped Robots
KisungSeo.html
SoohwanHyun.html
http___dx.doi.org_10.1007_978-3-642-12239-2_37 http://dx.doi.org/10.1007/978-3-642-12239-2_37
Seo:2010:AR Genetic Programming-Based Automatic Gait Generation in Joint Space for a Quadruped Robot
KisungSeo.html
SoohwanHyun.html
ErikGoodman.html
http___dx.doi.org_10.1163_016918610X534312 http://dx.doi.org/10.1163/016918610X534312
Seo:evoapps13 Genetic Programming-Based Model Output Statistics for Short-Range Temperature Prediction
KisungSeo.html
ByeongyongHyeon.html
SoohwanHyun.html
YoungheeLee.html
http___dx.doi.org_10.1007_978-3-642-37192-9_13 http://dx.doi.org/10.1007/978-3-642-37192-9_13
Seo:evoapps13a Toward Automatic Gait Generation for Quadruped Robots Using Cartesian Genetic Programming
KisungSeo.html
SoohwanHyun.html
http___dx.doi.org_10.1007_978-3-642-37192-9_60 http://dx.doi.org/10.1007/978-3-642-37192-9_60
conf/worldcist/SeoH14 Cartesian Genetic Programming Based Optimization and Prediction
KisungSeo.html
ByeongyongHyeon.html
http___dx.doi.org_10.1007_978-3-319-05951-8_47 http://dx.doi.org/10.1007/978-3-319-05951-8_47
Seo:2015:ECTA Evolutionary Nonlinear Model Output Statistics for Wind Speed Prediction using Genetic Programming
KisungSeo.html
ByeongyongHyeon.html
http___ieeexplore.ieee.org_document_7529335_ http://ieeexplore.ieee.org/document/7529335/
seo:2023:GECCOcomp Toward Symbolic Regression Based Model Transform for Convolutional Neural Network
KisungSeo.html
SeokBeomRoh.html
SoonyongGwon.html
http___dx.doi.org_10.1145_3583133.3596942 http://dx.doi.org/10.1145/3583133.3596942
seok:2000:EH Genetic Programming of Process Decomposition Strategies for Evolvable Hardware
Ho-SikSeok.html
Kwang-JuLee.html
Byoung-TakZhang.html
Dong-WookLee.html
Kwee-BoSim.html
http___dx.doi.org_10.1109_EH.2000.869339 http://dx.doi.org/10.1109/EH.2000.869339
http___bi.snu.ac.kr_Publications_Conferences_International_EH2000.pdf http://bi.snu.ac.kr/Publications/Conferences/International/EH2000.pdf
seok:2000:arob An On-Line Learning Method for Object-Locating Robots using Genetic Programming on Evolvable Hardware
Ho-SikSeok.html
Kwang-JuLee.html
Byoung-TakZhang.html
http___bi.snu.ac.kr_Publications_Conferences_International_AROB00.ps http://bi.snu.ac.kr/Publications/Conferences/International/AROB00.ps
http___citeseer.ist.psu.edu_456254.html http://citeseer.ist.psu.edu/456254.html
seok:2001:CEC Evolutionary Calibration of Sensors using Genetic Programming on Evolvable Hardware
Ho-SikSeok.html
Byoung-TakZhang.html
http___bi.snu.ac.kr_Publications_Conferences_International_CEC2001_Seok.pdf http://bi.snu.ac.kr/Publications/Conferences/International/CEC2001_Seok.pdf
http___dx.doi.org_10.1109_CEC.2001.934450 http://dx.doi.org/10.1109/CEC.2001.934450
Sepahvand:2017:ieeeTCYB Evolutionary Metric-Learning-Based Recognition Algorithm for Online Isolated Persian/Arabic Characters, Reconstructed Using Inertial Pen Signals
MajidSepahvand.html
FardinAbdali-Mohammadi.html
FarhadMardukhi.html
http___dx.doi.org_10.1109_TCYB.2016.2633318 http://dx.doi.org/10.1109/TCYB.2016.2633318
SEPAHVAND:2021:ESA A novel representation in genetic programming for ensemble classification of human motions based on inertial signals
MajidSepahvand.html
FardinAbdali-Mohammadi.html
http___dx.doi.org_10.1016_j.eswa.2021.115624 http://dx.doi.org/10.1016/j.eswa.2021.115624
https___www.sciencedirect.com_science_article_pii_S0957417421010186 https://www.sciencedirect.com/science/article/pii/S0957417421010186
SEPAHVAND:2021:BSPC A novel multi-lead ECG personal recognition based on signals functional and structural dependencies using time-frequency representation and evolutionary morphological CNN
MajidSepahvand.html
FardinAbdali-Mohammadi.html
http___dx.doi.org_10.1016_j.bspc.2021.102766 http://dx.doi.org/10.1016/j.bspc.2021.102766
https___www.sciencedirect.com_science_article_pii_S1746809421003633 https://www.sciencedirect.com/science/article/pii/S1746809421003633
Sepahvand:2019:WRM Multi-Objective Planning for Conjunctive Use of Surface and Ground Water Resources Using Genetic Programming
RezaSepahvand.html
HamidRSafavi.html
FarshadRezaei.html
http___dx.doi.org_10.1007_s11269-019-02229-4 http://dx.doi.org/10.1007_s11269-019-02229-4
http___link.springer.com_10.1007_s11269-019-02229-4 http://link.springer.com/10.1007/s11269-019-02229-4
Sequeira:2018:CogSci Analyzing Human Negotiation using Automated Cognitive Behavior Analysis: The Effect of Personality
PedroSequeira.html
StacyMarsella.html
http___eprints.gla.ac.uk_190279_ http://eprints.gla.ac.uk/190279/
https___mindmodeling.org_cogsci2018_papers_0209_index.html https://mindmodeling.org/cogsci2018/papers/0209/index.html
https___cogsci.mindmodeling.org_2018_papers_0209_0209.pdf https://cogsci.mindmodeling.org/2018/papers/0209/0209.pdf
seredynski:1996:mendle Designing communications algorithms with genetic programming
FranciszekSeredynski.html
seredynski:1999:dsdpcGPa Distributed Scheduling with Decomposed Optimization Criterion: Genetic Programming Approach
FranciszekSeredynski.html
JacekKoronacki.html
CezaryZJanikow.html
http___ipdps.cc.gatech.edu_1999_biosp3_seredyns.pdf http://ipdps.cc.gatech.edu/1999/biosp3/seredyns.pdf
http___citeseer.ist.psu.edu_475818.html http://citeseer.ist.psu.edu/475818.html
http___ftp.math.utah.edu_pub_tex_bib_lncs1999a.html http://ftp.math.utah.edu/pub/tex/bib/lncs1999a.html
http___dx.doi.org_10.1007_BFb0097900 http://dx.doi.org/10.1007/BFb0097900
Seredyski:2001:FGCS Distributed multiprocessor scheduling with decomposed optimization criterion
FranciszekSeredynski.html
JacekKoronacki.html
CezaryZJanikow.html
http___dx.doi.org_10.1016_S0167-739X_99_00119-3 http://dx.doi.org/10.1016/S0167-739X(99)00119-3
Sergiyenko:2020:ELNANO Genetic Programming of Pipelined Datapaths for FPGA
AnatoliySergiyenko.html
AnastasiaSerhienko.html
VitaliyRomankevich.html
http___dx.doi.org_10.1109_ELNANO50318.2020.9088773 http://dx.doi.org/10.1109/ELNANO50318.2020.9088773
Sermpinis:2013:EJF Modelling commodity value at risk with Psi Sigma neural networks using open-high-low-close data
GeorgiosSermpinis.html
JasonLaws.html
ChristianLDunis.html
http___eprints.gla.ac.uk_74500_ http://eprints.gla.ac.uk/74500/
http___dx.doi.org_10.1080_1351847X.2012.744763 http://dx.doi.org/10.1080/1351847X.2012.744763
Sermpinis20128865 Forecasting and trading the EUR/USD exchange rate with Gene Expression and Psi Sigma Neural Networks
GeorgiosSermpinis.html
JasonLaws.html
AndreasSKarathanasopoulos.html
ChristianLDunis.html
http___dx.doi.org_10.1016_j.eswa.2012.02.022 http://dx.doi.org/10.1016/j.eswa.2012.02.022
http___www.sciencedirect.com_science_article_pii_S0957417412002667 http://www.sciencedirect.com/science/article/pii/S0957417412002667
conf/ifip12/SermpinisFTK13 Gene Expression Programming and Trading Strategies
GeorgiosSermpinis.html
AnastasiaFountouli.html
KonstantinosATheofilatos.html
AndreasSKarathanasopoulos.html
http___dx.doi.org_10.1007_978-3-642-41142-7_5 http://dx.doi.org/10.1007/978-3-642-41142-7_5
Sermpinis:2014:JIFMIM Stochastic and genetic neural network combinations in trading and hybrid time-varying leverage effects
GeorgiosSermpinis.html
CharalamposStasinakis.html
ChristianLDunis.html
http___dx.doi.org_10.1016_j.intfin.2014.01.006 http://dx.doi.org/10.1016/j.intfin.2014.01.006
http___www.sciencedirect.com_science_article_pii_S1042443114000080 http://www.sciencedirect.com/science/article/pii/S1042443114000080
Sermpinis:2014:JF Inflation and Unemployment Forecasting with Genetic Support Vector Regression
GeorgiosSermpinis.html
CharalamposStasinakis.html
KonstantinosATheofilatos.html
AndreasSKarathanasopoulos.html
http___eprints.gla.ac.uk_94791_ http://eprints.gla.ac.uk/94791/
http___dx.doi.org_10.1002_for.2296 http://dx.doi.org/10.1002/for.2296
http___dx.doi.org_10.1002_for.2296 http://dx.doi.org/10.1002/for.2296
seront:1995:crGP External Concepts Reuse in Genetic Programming
GregorySeront.html
http___www.aaai.org_Papers_Symposia_Fall_1995_FS-95-01_FS95-01-013.pdf http://www.aaai.org/Papers/Symposia/Fall/1995/FS-95-01/FS95-01-013.pdf
http___www.aaai.org_Library_Symposia_Fall_fs95-01.php http://www.aaai.org/Library/Symposia/Fall/fs95-01.php
Serruto:2018:CSCI Automatic Code Generation for Microcontroller-Based System Using Multi-objective Linear Genetic Programming
WildorFerrelSerruto.html
LuisAlbertoAlfaroCasas.html
http___dx.doi.org_10.1109_CSCI.2017.47 http://dx.doi.org/10.1109/CSCI.2017.47
Serruto2019 Many-Objective Cooperative Co-evolutionary Linear Genetic Programming Applied to the Automatic Microcontroller Program Generation
WildorFerrelSerruto.html
LuisAlbertoAlfaroCasas.html
http___dx.doi.org_10.14569_IJACSA.2019.0100103 http://dx.doi.org/10.14569/IJACSA.2019.0100103
http___thesai.org_Downloads_Volume10No1_Paper_3-Many_Objective_Cooperative_Co_evolutionary_Linear_Genetic_Programming.pdf http://thesai.org/Downloads/Volume10No1/Paper_3-Many_Objective_Cooperative_Co_evolutionary_Linear_Genetic_Programming.pdf
http___dx.doi.org_10.14569_IJACSA.2019.0100103 http://dx.doi.org/10.14569/IJACSA.2019.0100103
Ferrel2020 Genetic Programming-Based Code Generation for Arduino
WildorFerrel.html
LuisAlbertoAlfaroCasas.html
https___thesai.org_Publications_ViewPaper_Volume_11_Issue_11_Code_IJACSA_SerialNo_68 https://thesai.org/Publications/ViewPaper?Volume=11&Issue=11&Code=IJACSA&SerialNo=68
https___thesai.org_Downloads_Volume11No11_Paper_68-Genetic_Programming_Based_Code_Generation.pdf https://thesai.org/Downloads/Volume11No11/Paper_68-Genetic_Programming_Based_Code_Generation.pdf
http___dx.doi.org_10.14569_IJACSA.2020.0111168 http://dx.doi.org/10.14569/IJACSA.2020.0111168
http___dx.doi.org_10.14569_IJACSA.2020.0111168 http://dx.doi.org/10.14569/IJACSA.2020.0111168
oai:CiteSeerXPSU:10.1.1.147.1233 JEB: Java Evolutionary Byte-code -- Implementation and Tests
FabienServant.html
DenisRobilliard.html
CyrilFonlupt.html
http___www-lil.univ-littoral.fr__robillia_Publis_05_jeb.ps.gz http://www-lil.univ-littoral.fr/~robillia/Publis/05_jeb.ps.gz
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.147.1233 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.147.1233
seshadri:mastersthesis Comprehensibility, Overfitting and Co-Evolution in Genetic Programming for Technical Trading Rules
MukundSeshadri.html
http___www.wpi.edu_Pubs_ETD_Available_etd-0430103-121518_unrestricted_Seshadri.pdf http://www.wpi.edu/Pubs/ETD/Available/etd-0430103-121518/unrestricted/Seshadri.pdf
http___www.wpi.edu_Pubs_ETD_Available_etd-0430103-121518_ http://www.wpi.edu/Pubs/ETD/Available/etd-0430103-121518/
Sette:2000:EAAI An implementation of genetic algorithms for rule based machine learning
StefanSette.html
LucBoullart.html
http___www.sciencedirect.com_science_article_B6V2M-40FGBJY-1_2_78ce2dab77a99bf15b8dec2aab6ccd61 http://www.sciencedirect.com/science/article/B6V2M-40FGBJY-1/2/78ce2dab77a99bf15b8dec2aab6ccd61
http___dx.doi.org_10.1016_S0952-1976_00_00020-8 http://dx.doi.org/10.1016/S0952-1976(00)00020-8
Sette:2001:EAAI Genetic programming: principles and applications
StefanSette.html
LucBoullart.html
http___www.sciencedirect.com_science_article_B6V2M-45BHF7T-2_2_e3ee88a282533dfb4d1f67ac83f08147 http://www.sciencedirect.com/science/article/B6V2M-45BHF7T-2/2/e3ee88a282533dfb4d1f67ac83f08147
http___dx.doi.org_10.1016_S0952-1976_02_00013-1 http://dx.doi.org/10.1016/S0952-1976(02)00013-1
Sette:2004:EAAI Comparing learning classifier systems and Genetic Programming: a case study
StefanSette.html
BartWyns.html
LucBoullart.html
http___www.sciencedirect.com_science_article_B6V2M-4C47K55-1_2_3a7744228216b3bcdb207c1665a7a10b http://www.sciencedirect.com/science/article/B6V2M-4C47K55-1/2/3a7744228216b3bcdb207c1665a7a10b
http___dx.doi.org_10.1016_j.engappai.2004.02.006 http://dx.doi.org/10.1016/j.engappai.2004.02.006
setzkorn:masters Investigation into the Application of Artificial Intelligence Methods to the Analysis of Medical Data
ChristianSetzkorn.html
Setzkorn:2000:AGP Application of a Genetic Programming Based Rule Discovery System to Recurring Miscarriage Data
ChristianSetzkorn.html
RayCPaton.html
LeanneBricker.html
RoyGFarquharson.html
http___dx.doi.org_10.1007_3-540-39949-6_31 http://dx.doi.org/10.1007/3-540-39949-6_31
oai:CiteSeerPSU:503310 Evolving Rule-Based Trading Systems
ChristianSetzkorn.html
LauraDipietro.html
RobinCPurshouse.html
http___www.csc.liv.ac.uk_research_techreports_tr2002_tr02005abs.html http://www.csc.liv.ac.uk/research/techreports/tr2002/tr02005abs.html
http___www.csc.liv.ac.uk_research_techreports_tr2002_ulcs-02-005.ps http://www.csc.liv.ac.uk/research/techreports/tr2002/ulcs-02-005.ps
http___citeseer.ist.psu.edu_503310.html http://citeseer.ist.psu.edu/503310.html
Setzkorn:2004:KELSI JavaSpaces - An Affordable Technology For The Simple Implementation Of Reusable Parallel Evolutionary Algorithms
ChristianSetzkorn.html
RayCPaton.html
http___dx.doi.org_10.1007_b103729 http://dx.doi.org/10.1007/b103729
Setzkorn:thesis On The Use Of Multi-Objective Evolutionary Algorithms For Classification Rule Induction
ChristianSetzkorn.html
http___www.zoonosis.ac.uk_8080_download_attachments_17_thesis.pdf http://www.zoonosis.ac.uk:8080/download/attachments/17/thesis.pdf
setzkorn:2005:CIMED Survival Analysis Using A Multi-Objective Evolutionary Algorithm
CSetzkorn.html
AzzamFGTaktak.html
BertilEDamato.html
Setzkorn:2005:BioSystems On the use of multi-objective evolutionary algorithms for the induction of fuzzy classification rule systems
ChristianSetzkorn.html
RayCPaton.html
http___dx.doi.org_10.1016_j.biosystems.2005.02.003 http://dx.doi.org/10.1016/j.biosystems.2005.02.003
RefWorks:127 Evolving Oblique Decision Trees For Survival Analysis
CSetzkorn.html
AzzamFGTaktak.html
BertilEDamato.html
JGrabham.html
Setzkorn:2007:BioSystems On the use of multi-objective evolutionary algorithms for survival analysis
ChristianSetzkorn.html
AzzamFGTaktak.html
BertilEDamato.html
http___pcwww.liv.ac.uk__afgt_SetzkornBiosys.pdf http://pcwww.liv.ac.uk/~afgt/SetzkornBiosys.pdf
http___dx.doi.org_10.1016_j.biosystems.2006.03.002 http://dx.doi.org/10.1016/j.biosystems.2006.03.002
severcan:2018:AJSE Empirical Modeling of Modal Damping Ratio of Impact-Damped Flexible Beams by GEP
MetinHakanSevercan.html
http___link.springer.com_article_10.1007_s13369-017-2715-8 http://link.springer.com/article/10.1007/s13369-017-2715-8
http___dx.doi.org_10.1007_s13369-017-2715-8 http://dx.doi.org/10.1007/s13369-017-2715-8
Seyhan:2010:ICEMS Cellular enzymatic activity and free radical formation in various tissues under static and ELF electric and magnetic field exposure
NesrinSeyhan.html
AyseGCanseven.html
GoknurGuler.html
ArinTomruk.html
ArzuFirlarer.html
http___www.teslabel.be_PDF_ICEMS_Monograph_2010.pdf http://www.teslabel.be/PDF/ICEMS_Monograph_2010.pdf
https___www.emf-portal.org_en_article_18890 https://www.emf-portal.org/en/article/18890
https___www.medicalinformation.it_non-thermal-effects-and-mechanisms-of-interaction-between-electromagnetic-fields-and-living-matter-an-icems-monograph.html https://www.medicalinformation.it/non-thermal-effects-and-mechanisms-of-interaction-between-electromagnetic-fields-and-living-matter-an-icems-monograph.html
Shabalov:2011:FSKD Automatized design application of intelligent information technologies for data mining problems
AndreyShabalov.html
EugeneSemenkin.html
PavelGalushin.html
http___dx.doi.org_10.1109_FSKD.2011.6020026 http://dx.doi.org/10.1109/FSKD.2011.6020026
shabanlou:2018:JMSA Determining the Scour Dimensions Around Submerged Vanes in a 180? Bend with the Gene Expression Programming Technique
SaeidShabanlou.html
HamedAzimi.html
IsaEbtehaj.html
HosseinBonakdari.html
http___link.springer.com_article_10.1007_s11804-018-0025-5 http://link.springer.com/article/10.1007/s11804-018-0025-5
http___dx.doi.org_10.1007_s11804-018-0025-5 http://dx.doi.org/10.1007/s11804-018-0025-5
DBLP:journals/corr/Shackelford14 Evolutionary Algorithm for Drug Discovery - Interim Design Report
MarkShackelford.html
http___arxiv.org_abs_1403.4871 http://arxiv.org/abs/1403.4871
SHADY:2021:PC Evolving Dispatching Rules Using Genetic Programming for Multi-objective Dynamic Job Shop Scheduling with Machine Breakdowns
SalamaShady.html
ToshiyaKaihara.html
NobutadaFujii.html
DaisukeKokuryo.html
http___dx.doi.org_10.1016_j.procir.2021.11.069 http://dx.doi.org/10.1016/j.procir.2021.11.069
https___www.sciencedirect.com_science_article_pii_S2212827121009677 https://www.sciencedirect.com/science/article/pii/S2212827121009677
shady:2021:APMS.AISRPS A New Representation and Adaptive Feature Selection for Evolving Compact Dispatching Rules for Dynamic Job Shop Scheduling with Genetic Programming
SalamaShady.html
ToshiyaKaihara.html
NobutadaFujii.html
DaisukeKokuryo.html
http___link.springer.com_chapter_10.1007_978-3-030-85906-0_70 http://link.springer.com/chapter/10.1007/978-3-030-85906-0_70
http___dx.doi.org_10.1007_978-3-030-85906-0_70 http://dx.doi.org/10.1007/978-3-030-85906-0_70
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ShimaShafiee.html
AbdolhosseinFathi.html
GhazalehTaherzadeh.html
http___dx.doi.org_10.1109_TCBB.2022.3230540 http://dx.doi.org/10.1109/TCBB.2022.3230540
https___github.com_GTaherzadeh_SPPPred.git https://github.com/GTaherzadeh/SPPPred.git
7987592 Adaptive and Energy-Efficient Architectures for Machine Learning: Challenges, Opportunities, and Research Roadmap
MuhammadShafique.html
RehanHafiz.html
MuhammadUsamaJaved.html
SarmadAbbas.html
LukasSekanina.html
ZdenekVasicek.html
VojtechMrazek.html
http___dx.doi.org_10.1109_ISVLSI.2017.124 http://dx.doi.org/10.1109/ISVLSI.2017.124
SHAFIULLAH:2018:JESIT Online tuning of power system stabilizer employing genetic programming for stability enhancement
MdShafiullah.html
MdJuelRana.html
MohammadShafiulAlam.html
MohammadAliAbido.html
http___dx.doi.org_10.1016_j.jesit.2018.03.007 http://dx.doi.org/10.1016/j.jesit.2018.03.007
http___www.sciencedirect.com_science_article_pii_S2314717218300412 http://www.sciencedirect.com/science/article/pii/S2314717218300412
SHAFIULLAH:2019:Measurement Low-frequency oscillation damping in the electric network through the optimal design of UPFC coordinated PSS employing MGGP
MdShafiullah.html
MdJuelRana.html
MohammadShoaibShahriar.html
MdHasanZahir.html
http___dx.doi.org_10.1016_j.measurement.2019.02.026 http://dx.doi.org/10.1016/j.measurement.2019.02.026
http___www.sciencedirect.com_science_article_pii_S0263224119301423 http://www.sciencedirect.com/science/article/pii/S0263224119301423
SHAFIULLAH:2022:PSFD Chapter 3 - Artificial intelligence techniques
MdShafiullah.html
MohammadAliAbido.html
AHAl-Mohammed.html
http___dx.doi.org_10.1016_B978-0-323-88429-7.00007-2 http://dx.doi.org/10.1016/B978-0-323-88429-7.00007-2
https___www.sciencedirect.com_science_article_pii_B9780323884297000072 https://www.sciencedirect.com/science/article/pii/B9780323884297000072
shah:2004:AIM Data mining and genetic algorithm based gene/SNP selection
ShitalCShah.html
AndrewKusiak.html
http___www.icaen.uiowa.edu__ankusiak_Journal-papers_Gen_Shital.pdf http://www.icaen.uiowa.edu/~ankusiak/Journal-papers/Gen_Shital.pdf
http___dx.doi.org_10.1016_j.artmed.2004.04.002 http://dx.doi.org/10.1016/j.artmed.2004.04.002
SHAH:2018:TS New approach for developing soft computational prediction models for moment and rotation of boltless steel connections
NaveedShah.html
NorHafizahBintiRamli.html
AhmedHusseinKamelAhmedElshafie.html
http___dx.doi.org_10.1016_j.tws.2018.09.032 http://dx.doi.org/10.1016/j.tws.2018.09.032
http___www.sciencedirect.com_science_article_pii_S0263823118305950 http://www.sciencedirect.com/science/article/pii/S0263823118305950
shahabi:2017:KSCEjce Significant wave height modelling using a hybrid Wavelet-genetic Programming approach
SajadShahabi.html
MohammadJavadKhanjani.html
Masoud-RezaHessamiKermani.html
http___link.springer.com_article_10.1007_s12205-016-0770-4 http://link.springer.com/article/10.1007/s12205-016-0770-4
http___dx.doi.org_10.1007_s12205-016-0770-4 http://dx.doi.org/10.1007/s12205-016-0770-4
Shahar:2007:tCBB Finding a Common Motif of RNA Sequences Using Genetic Programming: The GeRNAMo System
ShaharMichal.html
TorIvry.html
OmerSchalit-Cohen.html
MosheSipper.html
DannyBarash.html
http___dx.doi.org_10.1109_tcbb.2007.1045 http://dx.doi.org/10.1109/tcbb.2007.1045
shahbandegan:2023:GECCOcomp Theoretical Limits on the Success of Lexicase Selection Under Contradictory Objectives
ShakibaShahbandegan.html
EmilyDolson.html
http___dx.doi.org_10.1145_3583133.3590714 http://dx.doi.org/10.1145/3583133.3590714
Shahbazpanahi:2014:CIMSIVP Finding optimal transformation function for image thresholding using genetic programming
ShahoShahbazpanahi.html
ShahryarRahnamayan.html
http___dx.doi.org_10.1109_CIMSIVP.2014.7013279 http://dx.doi.org/10.1109/CIMSIVP.2014.7013279
oai:CiteSeerX.psu:10.1.1.416.6087 A Genetic Programming -- DWT Hybrid Face Recognition Algorithm
NorolhodaShahedi.html
MohsenSoryani.html
BehzadBozorgtabar.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.416.6087 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.416.6087
http___www.ijmer.com_papers_vol2_issue1_Q021095098.pdf http://www.ijmer.com/papers/vol2_issue1/Q021095098.pdf
Shahi:2017:RTEICT Asynchronous approach for network fault management by strongly typed genetic programming
BimlenduShahi.html
DivyaJha.html
NDDushyanth.html
DSuresh.html
http___dx.doi.org_10.1109_RTEICT.2017.8256650 http://dx.doi.org/10.1109/RTEICT.2017.8256650
shahi:2019:ICICSE Congestion Control in Backhaul Network Using Strongly Typed Genetic Programming
BimlenduShahi.html
DivyaJha.html
NDDushyanth.html
http___link.springer.com_chapter_10.1007_978-981-10-8201-6_14 http://link.springer.com/chapter/10.1007/978-981-10-8201-6_14
http___dx.doi.org_10.1007_978-981-10-8201-6_14 http://dx.doi.org/10.1007/978-981-10-8201-6_14
SHAHID:2020:ASC Wind power prediction using a three stage genetic ensemble and auxiliary predictor
FarahShahid.html
AsifullahKhan.html
AneelaZameer.html
JunaidArshad.html
KamranSafdar.html
http___dx.doi.org_10.1016_j.asoc.2020.106151 http://dx.doi.org/10.1016/j.asoc.2020.106151
http___www.sciencedirect.com_science_article_pii_S1568494620300910 http://www.sciencedirect.com/science/article/pii/S1568494620300910
Shahid:2007:ijscomp Modeling monthly mean maximum temperature using genetic programming
ShamsuddinShahid.html
MHasan.html
RUMondal.html
http___docsdrive.com_pdfs_medwelljournals_ijscomp_2007_612-616.pdf http://docsdrive.com/pdfs/medwelljournals/ijscomp/2007/612-616.pdf
http___medwelljournals.com_abstract__doi_ijscomp.2007.612.616 http://medwelljournals.com/abstract/?doi=ijscomp.2007.612.616
http___dx.doi.org_10.3923_ijscomp.2007.612.616 http://dx.doi.org/10.3923/ijscomp.2007.612.616
Shahin:2013:MWGTE Artificial Intelligence in Geotechnical Engineering: Applications, Modeling Aspects, and Future Directions
MohamedShahin.html
https___espace.curtin.edu.au_handle_20.500.11937_33251 https://espace.curtin.edu.au/handle/20.500.11937/33251
http___www.sciencedirect.com_science_article_pii_B9780123982964000088 http://www.sciencedirect.com/science/article/pii/B9780123982964000088
http___dx.doi.org_10.1016_B978-0-12-398296-4.00008-8 http://dx.doi.org/10.1016/B978-0-12-398296-4.00008-8
Shahin:2014:GF State-of-the-art review of some artificial intelligence applications in pile foundations
MohamedShahin.html
http___dx.doi.org_10.1016_j.gsf.2014.10.002 http://dx.doi.org/10.1016/j.gsf.2014.10.002
http___www.sciencedirect.com_science_article_pii_S1674987114001327 http://www.sciencedirect.com/science/article/pii/S1674987114001327
Shahin:2015:hbgpa Genetic Programming for Modelling of Geotechnical Engineering Systems
MohamedShahin.html
http___hdl.handle.net_20.500.11937_59372 http://hdl.handle.net/20.500.11937/59372
http___dx.doi.org_10.1007_978-3-319-20883-1_2 http://dx.doi.org/10.1007/978-3-319-20883-1_2
Shahnazari:2010:EG Numerical modeling of stress-strain behavior of sand under cyclic loading
HabibShahnazari.html
YasserDehnavi.html
AHAlavi.html
http___www.sciencedirect.com_science_article_B6V63-50M1RXX-3_2_0525115fe0c0708d0880543b8a3259e5 http://www.sciencedirect.com/science/article/B6V63-50M1RXX-3/2/0525115fe0c0708d0880543b8a3259e5
http___dx.doi.org_10.1016_j.enggeo.2010.07.007 http://dx.doi.org/10.1016/j.enggeo.2010.07.007
Shahnazari:2013:CG Evolutionary-based approaches for determining the deviatoric stress of calcareous sands
HabibShahnazari.html
MohammadAminTutunchian.html
RezaRezvani.html
FatemehValizadeh.html
http___dx.doi.org_10.1016_j.cageo.2012.07.006 http://dx.doi.org/10.1016/j.cageo.2012.07.006
http___www.sciencedirect.com_science_article_pii_S0098300412002312 http://www.sciencedirect.com/science/article/pii/S0098300412002312
Shahnazari:2014:JCEM The Next-Generation Constitutive Correlations for Simulation of Cyclic Stress-Strain Behavior of Sand
HabibShahnazari.html
YasserDehnavi.html
AHAlavi.html
http___dx.doi.org_10.3846_13923730.2013.802726 http://dx.doi.org/10.3846/13923730.2013.802726
Shahnazari:2014:IJCE Evolutionary-based approaches for settlement prediction of shallow foundations on cohesionless soils
HabibShahnazari.html
MohamedShahin.html
MohammadAminTutunchian.html
http___ijce.iust.ac.ir_article-1-931-en.html http://ijce.iust.ac.ir/article-1-931-en.html
http___ijce.iust.ac.ir_article-1-931-en.pdf http://ijce.iust.ac.ir/article-1-931-en.pdf
SHAHRIAR:2022:egyr Stability improvement of the PSS-connected power system network with ensemble machine learning tool
MohammadShoaibShahriar.html
ShafiullahAHossain.html
MdIliusHasanPathan.html
YusufASha'aban.html
HoussemRafikEl-HanaBouchekara.html
MakbulAMRamli.html
MohammadMominurRahman.html
http___dx.doi.org_10.1016_j.egyr.2022.08.225 http://dx.doi.org/10.1016/j.egyr.2022.08.225
https___www.sciencedirect.com_science_article_pii_S2352484722016699 https://www.sciencedirect.com/science/article/pii/S2352484722016699
Shahrzad:2014:GPTP Tackling the Boolean Multiplexer Function Using a Highly Distributed Genetic Programming System
HormozShahrzad.html
BabakHodjat.html
http___dx.doi.org_10.1007_978-3-319-16030-6_10 http://dx.doi.org/10.1007/978-3-319-16030-6_10
Shahrzad:2019:GPTP Enhanced Optimization With Composite Objectives and Novelty Pulsation
HormozShahrzad.html
BabakHodjat.html
CamilleDolle.html
AndreiDenissov.html
SimonLau.html
DonnGoodhew.html
JustinDyer.html
RistoMiikkulainen.html
http___human-competitive.org_sites_default_files_gptp-2019-enhanced_optimization_with_composite_objectives_and_novelty_pulsation.pdf http://human-competitive.org/sites/default/files/gptp-2019-enhanced_optimization_with_composite_objectives_and_novelty_pulsation.pdf
http___dx.doi.org_10.1007_978-3-030-39958-0_14 http://dx.doi.org/10.1007/978-3-030-39958-0_14
Shahrzad:2019:GECCOcomp Enhanced optimization with composite objectives and novelty pulsation
HormozShahrzad.html
BabakHodjat.html
CamilleDolle.html
AndreiDenissov.html
SimonLau.html
DonnGoodhew.html
JustinDyer.html
RistoMiikkulainen.html
http___dx.doi.org_10.1145_3319619.3322079 http://dx.doi.org/10.1145/3319619.3322079
shahrzad:arxiv22 Evolution of Transparent Explainable Rule-sets
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BabakHodjat.html
RistoMiikkulainen.html
http___nn.cs.utexas.edu__shahrzad_arxiv22 http://nn.cs.utexas.edu/?shahrzad:arxiv22
https___arxiv.org_abs_2204.10438 https://arxiv.org/abs/2204.10438
http___dx.doi.org_10.48550_ARXIV.2204.10438 http://dx.doi.org/10.48550/ARXIV.2204.10438
DBLP:conf/aiide/ShakerST13a Ropossum: An Authoring Tool for Designing, Optimizing and Solving Cut the Rope Levels
MohammadShaker.html
NoorShaker.html
JulianTogelius.html
http___www.aaai.org_ocs_index.php_AIIDE_AIIDE13_paper_view_7402 http://www.aaai.org/ocs/index.php/AIIDE/AIIDE13/paper/view/7402
https___www.aaai.org_ocs_index.php_AIIDE_AIIDE13_paper_view_7402_7615.pdf https://www.aaai.org/ocs/index.php/AIIDE/AIIDE13/paper/view/7402/7615.pdf
https___dblp.org_rec_conf_aiide_ShakerST13a.bib https://dblp.org/rec/conf/aiide/ShakerST13a.bib
conf/cig/shakerNYTO2012 Evolving Levels for Super Mario Bros Using Grammatical Evolution
NoorShaker.html
MiguelNicolau.html
GeorgiosNYannakakis.html
JulianTogelius.html
MichaelO'Neill.html
http___dx.doi.org_10.1109_CIG.2012.6374170 http://dx.doi.org/10.1109/CIG.2012.6374170
conf/aiide/shakerYTNO2012 Evolving Personalized Content for Super Mario Bros Using Grammatical Evolution
NoorShaker.html
GeorgiosNYannakakis.html
JulianTogelius.html
MiguelNicolau.html
MichaelO'Neill.html
http___www.aaai.org_Library_AIIDE_aiide12contents.php http://www.aaai.org/Library/AIIDE/aiide12contents.php
http___www.aaai.org_ocs_index.php_AIIDE_AIIDE12_paper_view_5448_5700.pdf http://www.aaai.org/ocs/index.php/AIIDE/AIIDE12/paper/view/5448/5700.pdf
Shaker:thesis Towards Player-Driven Procedural Content Generation
NoorShaker.html
https___pure.itu.dk_portal_en_publications_towards-playerdriven-procedural-content-generation_4b414e6a-4fb7-4aa9-b2f4-5fc137ee08f7_.html https://pure.itu.dk/portal/en/publications/towards-playerdriven-procedural-content-generation(4b414e6a-4fb7-4aa9-b2f4-5fc137ee08f7).html
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Shali:2007:ICMLA Using genetic programming for the induction of oblique decision trees
AminShali.html
MohammadRezaKangavari.html
BaharehBina.html
http___ieeexplore.ieee.org_stamp_stamp.jsp_tp__arnumber_4457205 http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4457205
http___dx.doi.org_10.1109_ICMLA.2007.66 http://dx.doi.org/10.1109/ICMLA.2007.66
Shamaei:2016:ASC Suspended sediment concentration estimation by stacking the genetic programming and neuro-fuzzy predictions
EhsanShamaei.html
MarjanKaedi.html
http___dx.doi.org_10.1016_j.asoc.2016.03.009 http://dx.doi.org/10.1016/j.asoc.2016.03.009
http___www.sciencedirect.com_science_article_pii_S1568494616301181 http://www.sciencedirect.com/science/article/pii/S1568494616301181
shami:1997:ftrr Evolving Simple Fault-tolerant Routing Rules using Genetic Programming
SajjadHaiderShami.html
IMAKirkwood.html
MarkCSinclair.html
http___dx.doi.org_10.1049_el_19970996 http://dx.doi.org/10.1049/el:19970996
Shamshirband:2016:RSER Assessing the proficiency of adaptive neuro-fuzzy system to estimate wind power density: Case study of Aligoodarz, Iran
ShahaboddinShamshirband.html
AframKeivani.html
KasraMohammadi.html
MalreyLee.html
SitiHafizahAbdHamid.html
DaliborPetkovic.html
http___dx.doi.org_10.1016_j.rser.2015.12.269 http://dx.doi.org/10.1016/j.rser.2015.12.269
http___www.sciencedirect.com_science_article_pii_S1364032115016524 http://www.sciencedirect.com/science/article/pii/S1364032115016524
Shamshirband:2015:RSER A comparative evaluation for identifying the suitability of extreme learning machine to predict horizontal global solar radiation
ShahaboddinShamshirband.html
KasraMohammadi.html
PorLipYee.html
DaliborPetkovic.html
AliMostafaeipour.html
http___dx.doi.org_10.1016_j.rser.2015.07.173 http://dx.doi.org/10.1016/j.rser.2015.07.173
http___www.sciencedirect.com_science_article_pii_S1364032115008205 http://www.sciencedirect.com/science/article/pii/S1364032115008205
Shamsuddin:2015:ICHI Prediction and Tracking Changes in Bio-medical Sensor Data
RittikaShamsuddin.html
http___dx.doi.org_10.1109_ICHI.2015.76 http://dx.doi.org/10.1109/ICHI.2015.76
shan:2002:AJJW AntTAG: a Further Study
YinShan.html
HusseinAAbbass.html
RI_Bob_McKay.html
DarylEssam.html
http___www.cs.adfa.edu.au__shanyin_publications_aj02.pdf http://www.cs.adfa.edu.au/~shanyin/publications/aj02.pdf
shan:2002:ICCCAS Software Project Effort Estimation Using Genetic Programming
YinShan.html
RI_Bob_McKay.html
CJLokan.html
DarylEssam.html
http___www.cs.adfa.edu.au__shanyin_publications_soft.pdf http://www.cs.adfa.edu.au/~shanyin/publications/soft.pdf
http___citeseer.ist.psu.edu_545689.html http://citeseer.ist.psu.edu/545689.html
http___dx.doi.org_10.1109_ICCCAS.2002.1178979 http://dx.doi.org/10.1109/ICCCAS.2002.1178979
shan:2002:SEAL Building Ecological Models Using Genetic Programming
YinShan.html
RI_Bob_McKay.html
DavidPaull.html
http___www.cs.adfa.edu.au__shanyin_publications_eco_model.pdf http://www.cs.adfa.edu.au/~shanyin/publications/eco_model.pdf
http___citeseer.ist.psu.edu_545087.html http://citeseer.ist.psu.edu/545087.html
Shan:2003:Pewel Program evolution with explicit learning: a New Framework for Program Automatic Synthesis
YinShan.html
RI_Bob_McKay.html
HusseinAAbbass.html
DarylEssam.html
http___www.cs.adfa.edu.au__shanyin_publications_peel.pdf http://www.cs.adfa.edu.au/~shanyin/publications/peel.pdf
http___citeseer.ist.psu.edu_560804.html http://citeseer.ist.psu.edu/560804.html
http___dx.doi.org_10.1109_CEC.2003.1299869 http://dx.doi.org/10.1109/CEC.2003.1299869
Shan:2004:apsies Program distribution estimation with grammar models
YinShan.html
RI_Bob_McKay.html
HusseinAAbbass.html
DarylEssam.html
http___sc.snu.ac.kr_PAPERS_shan01.pdf http://sc.snu.ac.kr/PAPERS/shan01.pdf
shan:2004:gmpe Grammar Model-based Program Evolution
YinShan.html
RI_Bob_McKay.html
RohanBaxter.html
HusseinAAbbass.html
DarylEssam.html
NguyenXuanHoai.html
http___sc.snu.ac.kr_courses_2006_fall_pg_aai_GP_shan_scfgcec04.pdf http://sc.snu.ac.kr/courses/2006/fall/pg/aai/GP/shan/scfgcec04.pdf
http___dx.doi.org_10.1109_CEC.2004.1330895 http://dx.doi.org/10.1109/CEC.2004.1330895
Shan:2004:aspgp Modularity and Position Independence in EDA-GP
YinShan.html
RI_Bob_McKay.html
DarylEssam.html
JianyingLiu.html
http___sc.snu.ac.kr_PAPERS_interval4.pdf http://sc.snu.ac.kr/PAPERS/interval4.pdf
YinShan:thesis Program Distribution Estimation with Grammar Models
YinShan.html
https___uat-unsworks.library.unsw.edu.au_rep-dis_dpds_rem_unsworks_3272 https://uat-unsworks.library.unsw.edu.au/rep-dis/dpds/rem/unsworks:3272
http___www.library.unsw.edu.au__thesis_adt-ADFA_uploads_approved_adt-ADFA20050818.093553_public_01front.pdf http://www.library.unsw.edu.au/~thesis/adt-ADFA/uploads/approved/adt-ADFA20050818.093553/public/01front.pdf
http___www.library.unsw.edu.au__thesis_adt-ADFA_uploads_approved_adt-ADFA20050818.093553_public_02whole.pdf http://www.library.unsw.edu.au/~thesis/adt-ADFA/uploads/approved/adt-ADFA20050818.093553/public/02whole.pdf
Shan:2005:100014 A Survey of Probabilistic Model Building Genetic Programming
YinShan.html
RI_Bob_McKay.html
DarylEssam.html
HusseinAAbbass.html
http___www.itee.adfa.edu.au__alar_techreps_2005100014.pdf http://www.itee.adfa.edu.au/~alar/techreps/2005100014.pdf
Shan:2006:SOPM A Survey of Probabilistic Model Building Genetic Programming
YinShan.html
RI_Bob_McKay.html
DarylEssam.html
HusseinAAbbass.html
http___dx.doi.org_10.1007_978-3-540-34954-9_6 http://dx.doi.org/10.1007/978-3-540-34954-9_6
Shan:2006:EM Machine learning of poorly predictable ecological data
YinShan.html
DavidPaull.html
RI_Bob_McKay.html
http___dx.doi.org_10.1016_j.ecolmodel.2005.11.015 http://dx.doi.org/10.1016/j.ecolmodel.2005.11.015
shanahan:1999:CIFCGFMGP Constructive Induction of Fuzzy Cartesian Granule Feature Models using Genetic Programming
JamesGShanahan.html
JamesFBaldwin.html
TrevorPMartin.html
http___gpbib.cs.ucl.ac.uk_gecco1999_GP-431.pdf http://gpbib.cs.ucl.ac.uk/gecco1999/GP-431.pdf
http___gpbib.cs.ucl.ac.uk_gecco1999_GP-431.ps http://gpbib.cs.ucl.ac.uk/gecco1999/GP-431.ps
shanahan:1999:CIFCGFMGPA Constructive Induction of Fuzzy Cartesian Granule Feature Models using Genetic Programming with Applications
JamesGShanahan.html
JamesFBaldwin.html
TrevorPMartin.html
http___dx.doi.org_10.1109_CEC.1999.781929 http://dx.doi.org/10.1109/CEC.1999.781929
2000-shanahan A Soft Computing Approach to Road Classification
JamesGShanahan.html
BarryThomas.html
MMirmehdi.html
TrevorPMartin.html
NeillCampbell.html
JamesFBaldwin.html
http___www.cs.bris.ac.uk_Publications_pub_info.jsp_id_1000525 http://www.cs.bris.ac.uk/Publications/pub_info.jsp?id=1000525
http___dx.doi.org_10.1023_A_1008158907779 http://dx.doi.org/10.1023/A:1008158907779
Shang20101 Data-Driven Prediction of Sintering Burn-Through Point Based on Novel Genetic Programming
Xiu-qinShang.html
JiangangLu.html
YouxianSun.html
JunLiu.html
Yu-qianYing.html
http___dx.doi.org_10.1016_S1006-706X_10_60188-4 http://dx.doi.org/10.1016/S1006-706X(10)60188-4
http___www.sciencedirect.com_science_article_B82XP-51VB3C8-1_2_1de00900cc3d2e7a67b60aa929329773 http://www.sciencedirect.com/science/article/B82XP-51VB3C8-1/2/1de00900cc3d2e7a67b60aa929329773
Shanmugam:2002:CSCC Design of 1-D Piece-wise Maps for Multi-user CDMA Communications Using a Novel GP-DNA Algorithm
SurendranShanmugam.html
VinayVaradan.html
HenryLeung.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.538.8395 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.538.8395
http___www.wseas.us_e-library_conferences_crete2002_papers_444-481.pdf http://www.wseas.us/e-library/conferences/crete2002/papers/444-481.pdf
Shanmugam:2006:ICASSP Efficient Chaotic Spreading Codes for DS-UWB Communication System
SurendranShanmugam.html
HenryLeung.html
http___dx.doi.org_10.1109_ICASSP.2006.1661016 http://dx.doi.org/10.1109/ICASSP.2006.1661016
Shanmugavadivu:2012:IJCTT An Improving Genetic Programming Approach Based Deduplication Using KFINDMR
PShanmugavadivu.html
NBaskar.html
http___www.ijcttjournal.org_volume-3_issue-5_IJCTT-V3I5P106.pdf http://www.ijcttjournal.org/volume-3/issue-5/IJCTT-V3I5P106.pdf
Shannon:2014:ieeeCCIBCB Discovering objective functions for tagging medical text concepts
GeorgeJShannon.html
StevenMCorns.html
DonaldCWunschII.html
http___dx.doi.org_10.1109_CIBCB.2014.6845528 http://dx.doi.org/10.1109/CIBCB.2014.6845528
Shannon:2011:ieeeALife Evolving Robot Controllers in PDL using Genetic Programming
PeterDShannon.html
ChrystopherLNehaniv.html
http___dx.doi.org_10.1109_ALIFE.2011.5954644 http://dx.doi.org/10.1109/ALIFE.2011.5954644
Shanthi2008 Practical and scalable evolution of digital circuits
APShanthi.html
RanjaniParthasarathi.html
http___dx.doi.org_10.1016_j.asoc.2008.08.004 http://dx.doi.org/10.1016/j.asoc.2008.08.004
http___www.sciencedirect.com_science_article_B6W86-4T9CCPD-1_2_75fb89ae05df548f839cb79ad371e0df http://www.sciencedirect.com/science/article/B6W86-4T9CCPD-1/2/75fb89ae05df548f839cb79ad371e0df
Shanthi:2017:ICICCS Application of partical swarm intelligence technique to predict software reliability
DShanthi.html
RamakantaMohanty.html
GNarsimha.html
VaranasiAruna.html
http___dx.doi.org_10.1109_ICCONS.2017.8250539 http://dx.doi.org/10.1109/ICCONS.2017.8250539
shao:2010:evomusart Jive: a Generative, Interactive, Virtual, Evolutionary Music System
JianhuaShao.html
JamesMcDermott.html
MichaelO'Neill.html
AnthonyBrabazon.html
http___dx.doi.org_10.1007_978-3-642-12242-2_35 http://dx.doi.org/10.1007/978-3-642-12242-2_35
Shao:2014:ieeeNNLS Feature Learning for Image Classification via Multiobjective Genetic Programming
LingShao.html
LiLiu.html
XuelongLi.html
http___dx.doi.org_10.1109_TNNLS.2013.2293418 http://dx.doi.org/10.1109/TNNLS.2013.2293418
Shao:2014:CIFEr Guided Fast Local Search for speeding up a financial forecasting algorithm
MingShao.html
DafniSmonou.html
MichaelKampouridis.html
EdwardPKTsang.html
http___dx.doi.org_10.1109_CIFEr.2014.6924091 http://dx.doi.org/10.1109/CIFEr.2014.6924091
Shao:2012:GECCO A GPU-based implementation of an enhanced GEP algorithm
ShuaiShao.html
XiyangLiu.html
MingyuanZhou.html
JiguoZhan.html
XinLiu.html
YanliChu.html
HaoChen.html
http___dx.doi.org_10.1145_2330163.2330302 http://dx.doi.org/10.1145/2330163.2330302
Sharabi:2006:GPEM GP-Sumo: Using genetic programming to evolve sumobots
ShaiSharabi.html
MosheSipper.html
http___dx.doi.org_10.1007_s10710-006-9006-6 http://dx.doi.org/10.1007/s10710-006-9006-6
oai:thesai.org:10.14569/IJARAI.2014.031007 Developing a Mathematical Model to Detect Diabetes Using Multigene Genetic Programming
AhlamASharief.html
AlaaSheta.html
http___thesai.org_Downloads_IJARAI_Volume3No10_Paper_7-Developing_a_Mathematical_Model_to_Detect.pdf http://thesai.org/Downloads/IJARAI/Volume3No10/Paper_7-Developing_a_Mathematical_Model_to_Detect.pdf
http___dx.doi.org_10.14569_IJARAI.2014.031007 http://dx.doi.org/10.14569/IJARAI.2014.031007
Sharif:1997:femgGA Finite Element Mesh Generation using Genetic Algorithms
AmirMSharif.html
RobertEttinger.html
sharif:1998:sgpmoe Seeding a genetic population for mesh optimisation and evaluation
AmirMSharif.html
AnthonyNBarrett.html
Sharif:2013:SMC Genetic Programming Based Composite Filter for Rician Noise Reduction
MuhammadSharif.html
ArfanJaffar.html
MuhammadTariqMahmood.html
http___dx.doi.org_10.1109_SMC.2013.228 http://dx.doi.org/10.1109/SMC.2013.228
sharif:2013:OR Rician noise reduction by combining mathematical morphological operators through genetic programming
MuhammadSharif.html
ArfanJaffar.html
MuhammadTariqMahmood.html
http___link.springer.com_article_10.1007_s10043-013-0052-z http://link.springer.com/article/10.1007/s10043-013-0052-z
http___dx.doi.org_10.1007_s10043-013-0052-z http://dx.doi.org/10.1007/s10043-013-0052-z
Sharif:2014:EAAI Optimal composite morphological supervised filter for image denoising using genetic programming: Application to magnetic resonance images
MuhammadSharif.html
ArfanJaffar.html
MuhammadTariqMahmood.html
http___dx.doi.org_10.1016_j.engappai.2013.11.011 http://dx.doi.org/10.1016/j.engappai.2013.11.011
http___www.sciencedirect.com_science_article_pii_S0952197613002285 http://www.sciencedirect.com/science/article/pii/S0952197613002285
Sharifi:2014:HIC A New Methodology For Deriving Regional Time Of Concentration Equations Using GIS And Genetic Programming
SorooshSharifi.html
MahdiRazaz.html
http___academicworks.cuny.edu_cc_conf_hic_307_ http://academicworks.cuny.edu/cc_conf_hic/307/
http___academicworks.cuny.edu_cgi_viewcontent.cgi_article_1306_context_cc_conf_hic.pdf http://academicworks.cuny.edu/cgi/viewcontent.cgi?article=1306&context=cc_conf_hic.pdf
Sharifi:2020:ASC Consolidation assessment using Multi Expression Programming
SohrabSharifi.html
SaeedAbrishami.html
AHGandomi.html
http___www.sciencedirect.com_science_article_pii_S1568494619306234 http://www.sciencedirect.com/science/article/pii/S1568494619306234
http___dx.doi.org_10.1016_j.asoc.2019.105842 http://dx.doi.org/10.1016/j.asoc.2019.105842
Sharifi:thesis Application of evolutionary computation to open channel flow modelling
SorooshSharifi.html
https___etheses.bham.ac.uk_id_eprint_478_ https://etheses.bham.ac.uk/id/eprint/478/
http___etheses.bham.ac.uk_478_1_Sharifi09PhD.pdf http://etheses.bham.ac.uk/478/1/Sharifi09PhD.pdf
Sharifi:2010:JH Prediction of end-depth ratio in open channels using genetic programming
SorooshSharifi.html
MarkSterling.html
DonaldWKnight.html
http___www.iwaponline.com_jh_013_0036_0130036.pdf http://www.iwaponline.com/jh/013/0036/0130036.pdf
http___dx.doi.org_10.2166_hydro.2010.087 http://dx.doi.org/10.2166/hydro.2010.087
sharifipour:2018:NCaA Comparison of genetic programming and radial basis function neural network for open-channel junction velocity field prediction
MinooSharifipour.html
HosseinBonakdari.html
AmirHosseinZaji.html
http___link.springer.com_article_10.1007_s00521-016-2713-x http://link.springer.com/article/10.1007/s00521-016-2713-x
http___dx.doi.org_10.1007_s00521-016-2713-x http://dx.doi.org/10.1007/s00521-016-2713-x
sharma:2020:mairepav Development of Road Maintenance Management System for India's National Highway Network Using HDM-4 and Genetic Programming
AbhishekSharma.html
TanujChopra.html
http___link.springer.com_chapter_10.1007_978-3-030-48679-2_18 http://link.springer.com/chapter/10.1007/978-3-030-48679-2_18
http___dx.doi.org_10.1007_978-3-030-48679-2_18 http://dx.doi.org/10.1007/978-3-030-48679-2_18
Sharma:masters Cartesian Genetic Programming for Evolving Neural Networks: Application in Clinical Data Analysis
BhuvanSharma.html
http___www.cems.uwe.ac.uk__bsharma_papers_Bhuvan_cgp_for_NN_clinical.pdf http://www.cems.uwe.ac.uk/~bsharma/papers/Bhuvan_cgp_for_NN_clinical.pdf
Sharma:2013:IJCSI A Survey on Software Testing Techniques using Genetic Algorithm
ChayanikaSharma.html
SangeetaSabharwal.html
RituSibal.html
http___www.ijcsi.org_articles_A-survey-on-software-testing-techniques-using-genetic-algorithm.php http://www.ijcsi.org/articles/A-survey-on-software-testing-techniques-using-genetic-algorithm.php
http___arxiv.org_pdf_1411.1154 http://arxiv.org/pdf/1411.1154
http___arxiv.org_abs_1411.1154 http://arxiv.org/abs/1411.1154
Sharma:2019:ICCS Identifying Spam Patterns in SMS using Genetic Programming Approach
DimpleSharma.html
AakankshaSharaff.html
http___dx.doi.org_10.1109_ICCS45141.2019.9065686 http://dx.doi.org/10.1109/ICCS45141.2019.9065686
Sharma:2014:JRNAL Human Recognition based on Gait Features and Genetic Programming
DipakGaireSharma.html
RahadianYusuf.html
IvanTTanev.html
KatsunoriShimohara.html
http___www.atlantis-press.com_php_download_paper.php_id_14952 http://www.atlantis-press.com/php/download_paper.php?id=14952
http___dx.doi.org_10.2991_jrnal.2014.1.3.5 http://dx.doi.org/10.2991/jrnal.2014.1.3.5
Sharma:2015:CEC Analysis of Genetic Programming in Gait Recognition
DipakGaireSharma.html
IvanTTanev.html
KatsunoriShimohara.html
http___dx.doi.org_10.1109_CEC.2015.7257054 http://dx.doi.org/10.1109/CEC.2015.7257054
Sharma:2019:INCOS Genetic Programming Modeling for Pollutant Removal from Aerobic Bioreactor Treating Industrial Wastewater
NareshKSharma.html
KSuganya.html
CSivapragasam.html
ManickamMatheswaran.html
http___dx.doi.org_10.1109_INCOS45849.2019.8951364 http://dx.doi.org/10.1109/INCOS45849.2019.8951364
sharma:2019:INAE Prediction of Coefficient of Consolidation Using Multi-Gene Genetic Programming
ShivpreetSharma.html
AnilKumarMishra.html
BimleshKumar.html
http___link.springer.com_article_10.1007_s41403-019-00075-9 http://link.springer.com/article/10.1007/s41403-019-00075-9
http___dx.doi.org_10.1007_s41403-019-00075-9 http://dx.doi.org/10.1007/s41403-019-00075-9
Sharma:2014:BEJ Soft-sensor development for biochemical systems using genetic programming
SurajSharma.html
SanjeevSTambe.html
http___dx.doi.org_10.1016_j.bej.2014.02.007 http://dx.doi.org/10.1016/j.bej.2014.02.007
http___www.sciencedirect.com_science_article_pii_S1369703X14000291 http://www.sciencedirect.com/science/article/pii/S1369703X14000291
Sharma:2016:SICE Steering oscillation as an effect of cognitive delay in human drivers
DipakGaireSharma.html
RahadianYusuf.html
IvanTTanev.html
KatsunoriShimohara.html
http___dx.doi.org_10.1109_SICE.2016.7749225 http://dx.doi.org/10.1109/SICE.2016.7749225
Sharma:thesis Experimental Investigations of the Mechanical, Wear and Biocompatible Properties of Nickel-Titanium Alloy
NeerajSharma.html
sharma:2019:JoIM Porosity exploration of SMA by Taguchi, regression analysis and genetic programming
NeerajSharma.html
KamalKumar.html
TilakRaj.html
VinodKumar.html
http___link.springer.com_article_10.1007_s10845-016-1236-8 http://link.springer.com/article/10.1007/s10845-016-1236-8
http___dx.doi.org_10.1007_s10845-016-1236-8 http://dx.doi.org/10.1007/s10845-016-1236-8
Sharma:GPEM An enhanced Huffman-PSO based image optimization algorithm for image steganography
NehaSharma.html
UshaBatra.html
http___dx.doi.org_10.1007_s10710-020-09396-z http://dx.doi.org/10.1007/s10710-020-09396-z
Sharma:2016:iCATccT Minimization of Digital Combinational Circuit using Genetic programming with modified fitness function
PeeyushSharma.html
TrailokyaNathSasamal.html
http___dx.doi.org_10.1109_ICATCCT.2016.7912032 http://dx.doi.org/10.1109/ICATCCT.2016.7912032
DBLP:journals/nca/SharmaAC22 Multivariate regression and genetic programming for prediction of backbreak in open-pit blasting
MukulSharma.html
HemantAgrawal.html
BSChoudhary.html
https___doi.org_10.1007_s00521-021-06553-y https://doi.org/10.1007/s00521-021-06553-y
http___dx.doi.org_10.1007_s00521-021-06553-y http://dx.doi.org/10.1007/s00521-021-06553-y
https___dblp.org_rec_journals_nca_SharmaAC22.bib https://dblp.org/rec/journals/nca/SharmaAC22.bib
sharman:1993:gessm Genetic Evolution of Symbolic Signal Models
KennethCSharman.html
AnnaEsparcia-Alcazar.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_natalg93.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/natalg93.pdf
http___www.iti.upv.es__anna_papers_natalg93.ps http://www.iti.upv.es/~anna/papers/natalg93.ps
sharman:1995:espa Evolving Signal Processing Algorithms by Genetic Programming
KennethCSharman.html
AnnaEsparcia-Alcazar.html
YunLi.html
http___www.iti.upv.es__anna_papers_galesi95.ps http://www.iti.upv.es/~anna/papers/galesi95.ps
journals/nca/ShavandiR13 A linear genetic programming approach for the prediction of solar global radiation
HassanShavandi.html
SaraSaeidiRamiyani.html
http___dx.doi.org_10.1007_s00521-012-1039-6 http://dx.doi.org/10.1007/s00521-012-1039-6
http___dx.doi.org_10.1007_s00521-012-1039-6 http://dx.doi.org/10.1007/s00521-012-1039-6
shaw:2000:ABEB Bioanalysis and Biosensors for Bioprocess Monitoring Rapid Analysis of High-Dimensional Bioprocesses Using Multivariate Spectroscopies and Advanced Chemometrics
AngharadShaw.html
MichaelKWinson.html
AndrewMWoodward.html
AoifeCMcGovern.html
HazelMDavey.html
NaheedKaderbhai.html
DavidIBroadhurst.html
RichardJGilbert.html
JanetTaylor.html
EadaoinMTimmins.html
RoystonGoodacre.html
DouglasBKell.html
BjornKAlsberg.html
JemJRowland.html
http___dx.doi.org_10.1007_3-540-48773-5_3 http://dx.doi.org/10.1007/3-540-48773-5_3
Shaw:2004:ACDM Genetic Programming Within Civil Engineering
DaveShaw.html
JohnCMiles.html
WAlexGray.html
http___www.ip-cc.org.uk_did_articles_miles-paper5.pdf http://www.ip-cc.org.uk/did/articles/miles-paper5.pdf
Shaw:2005:ICCCE Evolutionary Computation for the Topological Design of Framed Buildings
DaveShaw.html
JohnCMiles.html
WAlexGray.html
http___dx.doi.org_10.1061_40794_179_55 http://dx.doi.org/10.1061/40794(179)55
DavidShaw:Thesis Geometric Representations For Conceptual Design Using Evolutionary Algorithms
DaveShaw.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_DavidShaw_Thesis.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/DavidShaw_Thesis.pdf
SheikhKhozani:2016:Measurement Application of a genetic algorithm in predicting the percentage of shear force carried by walls in smooth rectangular channels
ZohrehSheikhKhozani.html
HosseinBonakdari.html
AmirHosseinZaji.html
http___dx.doi.org_10.1016_j.measurement.2016.03.018 http://dx.doi.org/10.1016/j.measurement.2016.03.018
http___www.sciencedirect.com_science_article_pii_S0263224116001810 http://www.sciencedirect.com/science/article/pii/S0263224116001810
SHEIKHKHOZANI:2020:JH An ensemble genetic programming approach to develop incipient sediment motion models in rectangular channels
ZohrehSheikhKhozani.html
MirJafarSadeghSafari.html
AliDanandehMehr.html
WanHannaMeliniWanMohtar.html
http___dx.doi.org_10.1016_j.jhydrol.2020.124753 http://dx.doi.org/10.1016/j.jhydrol.2020.124753
http___www.sciencedirect.com_science_article_pii_S0022169420302134 http://www.sciencedirect.com/science/article/pii/S0022169420302134
shelton:1995:GAAML Genetic Algorithms Applied to Machine Language
ChristianRShelton.html
Shelton:2021:NDSS Rosita: Towards Automatic Elimination of Power-Analysis Leakage in Ciphers
MaduraAShelton.html
NielsSamwel.html
LejlaBatina.html
FrancescoRegazzoni.html
MarkusWagner.html
YuvalYarom.html
https___arxiv.org_abs_1912.05183 https://arxiv.org/abs/1912.05183
https___www.ndss-symposium.org_wp-content_uploads_ndss2021_4B-3_23137_paper.pdf https://www.ndss-symposium.org/wp-content/uploads/ndss2021_4B-3_23137_paper.pdf
https___www.youtube.com_watch_v_yY-YQItFug8 https://www.youtube.com/watch?v=yY-YQItFug8
http___dx.doi.org_10.14722_ndss.2021.23137 http://dx.doi.org/10.14722/ndss.2021.23137
Shelton:2021:CCS Rosita++: Automatic Higher-Order Leakage Elimination from Cryptographic Code
MaduraAShelton.html
LukaszChmielewski.html
NielsSamwel.html
MarkusWagner.html
LejlaBatina.html
YuvalYarom.html
https___eprint.iacr.org_2021_1181 https://eprint.iacr.org/2021/1181
https___github.com_0xADE1A1DE_Rositaplusplus https://github.com/0xADE1A1DE/Rositaplusplus
http___dx.doi.org_10.1145_3460120.3485380 http://dx.doi.org/10.1145/3460120.3485380
sh-ka-br-14b A New Distribution Network Reconfiguration and Restoration Path Selection Algorithm
CongShen.html
PaulKaufmann.html
MartinBraun.html
http___dx.doi.org_10.1109_PSCC.2014.7038422 http://dx.doi.org/10.1109/PSCC.2014.7038422
sh-ka-br-14a Optimizing the Generator Start-up Sequence After a Power System Blackout
CongShen.html
PaulKaufmann.html
MartinBraun.html
http___dx.doi.org_10.1109_PESGM.2014.6938799 http://dx.doi.org/10.1109/PESGM.2014.6938799
Shen2012139 Direct expressions for linearization of shear strength envelopes given by the Generalized Hoek-Brown criterion using genetic programming
JiayiShen.html
MuratKarakus.html
ChaoshuiXu.html
http___dx.doi.org_10.1016_j.compgeo.2012.04.008 http://dx.doi.org/10.1016/j.compgeo.2012.04.008
http___www.sciencedirect.com_science_article_pii_S0266352X1200064X http://www.sciencedirect.com/science/article/pii/S0266352X1200064X
shen_thesis Analytical and numerical analyses for rock slope stability using the generalized Hoek-Brown criterion
JiayiShen.html
http___hdl.handle.net_2440_83113 http://hdl.handle.net/2440/83113
https___digital.library.adelaide.edu.au_dspace_handle_2440_83113 https://digital.library.adelaide.edu.au/dspace/handle/2440/83113
https___digital.library.adelaide.edu.au_dspace_bitstream_2440_83113_8_02whole.pdf https://digital.library.adelaide.edu.au/dspace/bitstream/2440/83113/8/02whole.pdf
shen:2018:BEGE Predicting the shear strength parameters of sandstone using genetic programming
JiayiShen.html
RafaelJimenez.html
http___link.springer.com_article_10.1007_s10064-017-1023-6 http://link.springer.com/article/10.1007/s10064-017-1023-6
http___dx.doi.org_10.1007_s10064-017-1023-6 http://dx.doi.org/10.1007/s10064-017-1023-6
shen:2021:AJG Predicting the shear strength of saw-tooth jointed rocks using genetic programming
JiayiShen.html
WenyuShang.html
ManziCedrick.html
HuajieHuang.html
HongyueSun.html
QiangXu.html
http___link.springer.com_article_10.1007_s12517-021-06662-x http://link.springer.com/article/10.1007/s12517-021-06662-x
http___dx.doi.org_10.1007_s12517-021-06662-x http://dx.doi.org/10.1007/s12517-021-06662-x
shen:2003:SGCPGP Solving the Graph Coloring Problem using Genetic Programming
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http___www.genetic-programming.org_sp2003_Shen.pdf http://www.genetic-programming.org/sp2003/Shen.pdf
Shen:2022:ICTA A CGP-based Efficient Approximate Multiplier with Error Compensation
QiaoShen.html
RenYuanZhang.html
HaoZhang.html
HaoCai.html
BoLiu2.html
JianXiao.html
http___dx.doi.org_10.1109_ICTA56932.2022.9963083 http://dx.doi.org/10.1109/ICTA56932.2022.9963083
Thesis_Tianfeng_SHEN Evaluation of urban heat island situation in developed cities of Zhejiang province
TianfengShen.html
http___eprints.nottingham.ac.uk_30441_ http://eprints.nottingham.ac.uk/30441/
http___eprints.nottingham.ac.uk_30441_1_Thesis_Tianfeng_20SHEN.pdf http://eprints.nottingham.ac.uk/30441/1/Thesis_Tianfeng%20SHEN.pdf
Shen:2018:ieeeIOT Dynamic Generation of Internet of Things Organizational Structures Through Evolutionary Computing
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HanYu.html
LingYu.html
ChunyanMiao.html
YiqiangChen.html
VictorRLesser.html
http___dx.doi.org_10.1109_JIOT.2018.2795548 http://dx.doi.org/10.1109/JIOT.2018.2795548
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LeighSheneman.html
https___d.lib.msu.edu_etd_6953_datastream_OBJ_View_ https://d.lib.msu.edu/etd/6953/datastream/OBJ/View/
http___dx.doi.org_10.25335_M54P3B http://dx.doi.org/10.25335/M54P3B
1144228 Estimating the destructiveness of crossover on binary tree representations
LukeSheneman.html
JamesAFoster.html
http___gpbib.cs.ucl.ac.uk_gecco2006_docs_p1427.pdf http://gpbib.cs.ucl.ac.uk/gecco2006/docs/p1427.pdf
http___dx.doi.org_10.1145_1143997.1144228 http://dx.doi.org/10.1145/1143997.1144228
Sheppard:GAbook Genetic Algorithms with Python
ClintonSheppard.html
https___leanpub.com_genetic_algorithms_with_python https://leanpub.com/genetic_algorithms_with_python
https___www.amazon.com_Genetic-Algorithms-Python-Clinton-Sheppard_dp_1540324001 https://www.amazon.com/Genetic-Algorithms-Python-Clinton-Sheppard/dp/1540324001
oai:CiteSeerPSU:263920 Automatic Selection Of Features For Classification Using Genetic Programming
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RobertEBogner.html
BBouzerdoum.html
http___citeseer.ist.psu.edu_cache_papers_cs_3420_ftp_zSzzSzaugean.eleceng.adelaide.edu.auzSzpubzSzjsherrahzSzeprep_anziis96.pdf_sherrah96automatic.pdf http://citeseer.ist.psu.edu/cache/papers/cs/3420/ftp:zSzzSzaugean.eleceng.adelaide.edu.auzSzpubzSzjsherrahzSzeprep_anziis96.pdf/sherrah96automatic.pdf
http___citeseer.ist.psu.edu_sherrah96automatic.html http://citeseer.ist.psu.edu/sherrah96automatic.html
http___citeseer.ist.psu.edu_263920.html http://citeseer.ist.psu.edu/263920.html
Sherrah:1997:afeGP Automatic Feature Extraction using Genetic Programming
JamieRSherrah.html
Sherrah:1997:epafxsc The Evolutionary Pre-Processor: Automatic Feature Extraction for Supervised Classification using Genetic Programming
JamieRSherrah.html
RobertEBogner.html
AbdesselamBouzerdoum.html
http___citeseer.ist.psu.edu_284782.html http://citeseer.ist.psu.edu/284782.html
sherrah:1998:thesis Automatic Feature Extraction for Pattern Recognition
JamieRSherrah.html
http___hdl.handle.net_2440_19264 http://hdl.handle.net/2440/19264
https___digital.library.adelaide.edu.au_dspace_bitstream_2440_19264_2_02whole.pdf https://digital.library.adelaide.edu.au/dspace/bitstream/2440/19264/2/02whole.pdf
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DylanSherry.html
KalyanVeeramachaneni.html
JamesMcDermott.html
Una-MayO'Reilly.html
http___www.dylansherry.com_papers_sherry_2012_flexgp.pdf http://www.dylansherry.com/papers/sherry_2012_flexgp.pdf
http___dx.doi.org_10.1007_978-3-642-29178-4_48 http://dx.doi.org/10.1007/978-3-642-29178-4_48
Sherry:2017:GECCO Performance Testing of Automated Modeling for Industrial Applications
DylanSherry.html
MichaelDSchmidt.html
http___doi.acm.org_10.1145_3067695.3082534 http://doi.acm.org/10.1145/3067695.3082534
http___dx.doi.org_10.1145_3067695.3082534 http://dx.doi.org/10.1145/3067695.3082534
Sheta:2010:ISDA A GP effort estimation model utilizing line of code and methodology for NASA software projects
AlaaSheta.html
AlaaAl-Afeef.html
http___sites.google.com_site_alaaalfeef_home_7.pdf http://sites.google.com/site/alaaalfeef/home/7.pdf
http___dx.doi.org_10.1109_ISDA.2010.5687251 http://dx.doi.org/10.1109/ISDA.2010.5687251
ShetaAfeef2010 Software Effort Estimation for NASA Projects Using Genetic Programming
AlaaSheta.html
AlaaAl-Afeef.html
http___www.dline.info_jic_v1n3.php http://www.dline.info/jic/v1n3.php
http___www.dline.info_jic_fulltext_v1n3_4.pdf http://www.dline.info/jic/fulltext/v1n3/4.pdf
Sheta:2011:SGAI Quality Management Using Electrical Capacitance Tomography and Genetic Programming: A new Framework
AlaaSheta.html
PeterRausch.html
AlaaAl-Afeef.html
http___dx.doi.org_10.1007_978-1-4471-2318-7_15 http://dx.doi.org/10.1007/978-1-4471-2318-7_15
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AlaaSheta.html
PeterRausch.html
AlaaAl-Afeef.html
http___dx.doi.org_10.1504_IJBIC.2012.047182 http://dx.doi.org/10.1504/IJBIC.2012.047182
https___sites.google.com_site_alaaalfeef_home_IJBIC040206_RAUSCH.pdf_attredirects_0_d_1 https://sites.google.com/site/alaaalfeef/home/IJBIC040206_RAUSCH.pdf?attredirects=0&d=1
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AlaaSheta.html
RaniaHiary.html
HossamFaris.html
NazeehALGhatasheh.html
http___www.idosi.org_wasj_wasj22_4_13_6.pdf http://www.idosi.org/wasj/wasj22(4)13/6.pdf
http___www.idosi.org_wasj_wasj22_4_2013.htm http://www.idosi.org/wasj/wasj22(4)2013.htm
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http___www.sersc.org_journals_IJCA_vol6_no6_29.pdf http://www.sersc.org/journals/IJCA/vol6_no6/29.pdf
http___dx.doi.org_10.14257_ijca.2013.6.6.29 http://dx.doi.org/10.14257/ijca.2013.6.6.29
HR2014 Improving Production Quality of a Hot Rolling Industrial Process via Genetic Programming Model
AlaaSheta.html
HossamFaris.html
ErtanOznergiz.html
http___dx.doi.org_10.1504_IJCAT.2014.062360 http://dx.doi.org/10.1504/IJCAT.2014.062360
Sheta:2015:IJACSA Influence of Nitrogen-di-Oxide, Temperature and Relative Humidity on Surface Ozone Modeling Process Using Multigene Symbolic Regression Genetic Programming
AlaaSheta.html
HossamFaris.html
http___thesai.org_Downloads_Volume6No6_Paper_37-Influence_of_Nitrogen_di_Oxide_Temperature.pdf http://thesai.org/Downloads/Volume6No6/Paper_37-Influence_of_Nitrogen_di_Oxide_Temperature.pdf
http___dx.doi.org_10.14569_IJACSA.2015.060637 http://dx.doi.org/10.14569/IJACSA.2015.060637
http___dx.doi.org_10.14569_IJACSA.2015.060637 http://dx.doi.org/10.14569/IJACSA.2015.060637
sheta:2019:ISTSL Utilizing Faults and Time to Finish Estimating the Number of Software Test Workers Using Artificial Neural Networks and Genetic Programming
AlaaSheta.html
SultanAljahdali.html
MalikShehadehBraik.html
http___link.springer.com_chapter_10.1007_978-3-030-03577-8_67 http://link.springer.com/chapter/10.1007/978-3-030-03577-8_67
http___dx.doi.org_10.1007_978-3-030-03577-8_67 http://dx.doi.org/10.1007/978-3-030-03577-8_67
Shetty:2016:ICICT Using clustering to capture attackers
NishaPShetty.html
http___dx.doi.org_10.1109_INVENTIVE.2016.7830117 http://dx.doi.org/10.1109/INVENTIVE.2016.7830117
Shevertalov:2010:SSBSE Using Search Methods for Selecting and Combining Software Sensors to Improve Fault Detection in Autonomic Systems
MaximShevertalov.html
KevinLynch.html
EdwardStehle.html
ChrisRorres.html
SpirosMancoridis.html
http___dx.doi.org_10.1109_SSBSE.2010.23 http://dx.doi.org/10.1109/SSBSE.2010.23
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CeShi.html
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GaofengShi.html
FangfangZhang.html
YiMei.html
http___dx.doi.org_10.1109_CEC55065.2022.9870235 http://dx.doi.org/10.1109/CEC55065.2022.9870235
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GaofengShi.html
FangfangZhang.html
YiMei.html
http___dx.doi.org_10.1109_CEC53210.2023.10253970 http://dx.doi.org/10.1109/CEC53210.2023.10253970
SHI:2019:jhydrol Predicting the bulk average velocity of open-channel flow with submerged rigid vegetation
HaoranShi.html
XuerongLiang.html
Wen-XinHuai.html
Yu-FeiWang.html
http___dx.doi.org_10.1016_j.jhydrol.2019.02.045 http://dx.doi.org/10.1016/j.jhydrol.2019.02.045
http___www.sciencedirect.com_science_article_pii_S0022169419302021 http://www.sciencedirect.com/science/article/pii/S0022169419302021
Shi:2011:SMDbGP Selective Motion Detection by Genetic Programming
QiaoShi.html
AndySong.html
http___dx.doi.org_10.1109_CEC.2011.5949659 http://dx.doi.org/10.1109/CEC.2011.5949659
Shi:2012:CEC Analysis of Motion Detectors Evolved by Genetic Programming
QiaoShi.html
WeiYin.html
AndySong.html
http___dx.doi.org_10.1109_CEC.2012.6256535 http://dx.doi.org/10.1109/CEC.2012.6256535
Shi201049 Quantitative structure-activity relationships studies of CCR5 inhibitors and toxicity of aromatic compounds using gene expression programming
WeiminShi.html
XiaoyaZhang.html
QiShen.html
http___dx.doi.org_10.1016_j.ejmech.2009.09.022 http://dx.doi.org/10.1016/j.ejmech.2009.09.022
http___www.sciencedirect.com_science_article_B6VKY-4X7R7VB-9_2_d77fbd7fe283e1f43f090783bfbc5557 http://www.sciencedirect.com/science/article/B6VKY-4X7R7VB-9/2/d77fbd7fe283e1f43f090783bfbc5557
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XinmingShi.html
LeandroLMinku.html
XinYao.html
http___dx.doi.org_10.1109_TC.2022.3173151 http://dx.doi.org/10.1109/TC.2022.3173151
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XinmingShi.html
LeandroLMinku.html
XinYao.html
https___rdcu.be_cSgAQ https://rdcu.be/cSgAQ
http___dx.doi.org_10.1007_s10710-022-09436-w http://dx.doi.org/10.1007/s10710-022-09436-w
Shi:2010:BIC-TA Using logic rules for concept refinement learning in first order logic
ZhenguoShi.html
ZongtianLiu.html
JianpingChen.html
http___dx.doi.org_10.1109_BICTA.2010.5645166 http://dx.doi.org/10.1109/BICTA.2010.5645166
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TonyZhongshunShi.html
SiyangGao.html
JianzhongDu.html
HangMa.html
LeyuanShi.html
http___dx.doi.org_10.1109_SII.2019.8700391 http://dx.doi.org/10.1109/SII.2019.8700391
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TonyZhongshunShi.html
HangMa.html
MeihengRen.html
TaoWu.html
AndrewJYu.html
http___dx.doi.org_10.1016_j.cor.2021.105488 http://dx.doi.org/10.1016/j.cor.2021.105488
https___www.sciencedirect.com_science_article_pii_S0305054821002355 https://www.sciencedirect.com/science/article/pii/S0305054821002355
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XinmingShi.html
JiashiGao.html
LeandroLMinku.html
XinYao.html
http___dx.doi.org_10.1145_3520304.3529032 http://dx.doi.org/10.1145/3520304.3529032
Shi-Liang:2012:CCC Co-evolutionary genetic optimization based ordinary differential equations identification for multi-input multi-output chaotic systems
Shi-LiangZhou.html
Yu-YanLiu.html
http___ieeexplore.ieee.org_xpl_articleDetails.jsp_tp__arnumber_6390207 http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6390207
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YehonatanShichel.html
EranZiserman.html
MosheSipper.html
http___www.cs.bgu.ac.il__sipper_papabs_eurogprobo-final.pdf http://www.cs.bgu.ac.il/~sipper/papabs/eurogprobo-final.pdf
http___dx.doi.org_10.1007_978-3-540-31989-4_13 http://dx.doi.org/10.1007/978-3-540-31989-4_13
http___dx.doi.org_10.1007_b107383 http://dx.doi.org/10.1007/b107383
Shichel:2012:memetic GP-RARS: evolving controllers for the Robot Auto Racing Simulator
YehonatanShichel.html
MosheSipper.html
http___dx.doi.org_10.1007_s12293-011-0056-9 http://dx.doi.org/10.1007/s12293-011-0056-9
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KaoruShimada.html
KotaroHirasawa.html
JingluHu.html
http___ci.nii.ac.jp_naid_110002769905_en_ http://ci.nii.ac.jp/naid/110002769905/en/
http___ci.nii.ac.jp_naid_110002769905 http://ci.nii.ac.jp/naid/110002769905
Shimazaki:2016:SMC Semantic segmentation using Three-Dimensional Cellular Evolutionary Networks
KenShimazaki.html
TomoharuNagao.html
http___dx.doi.org_10.1109_SMC.2016.7844434 http://dx.doi.org/10.1109/SMC.2016.7844434
Shimizu:2007:IJPR Optimal disassembly sequence generation using a genetic programming
YoshiakiShimizu.html
KyoheiTsuji.html
MasayukiNomura.html
http___dx.doi.org_10.1080_00207540701440261 http://dx.doi.org/10.1080/00207540701440261
Shimooka:1998:geGPcmip Generating Equations with Genetic Programming for Control of a Movable Inverted Pendulum
HiroakiShimooka.html
YoshijiFujimoto.html
http___dx.doi.org_10.1007_3-540-48873-1_24 http://dx.doi.org/10.1007/3-540-48873-1_24
Shimooka:2000:GECCO Generating Robust Control Equations with Genetic Programming for Control of a Rolling Inverted Pendulum
HiroakiShimooka.html
YoshijiFujimoto.html
http___gpbib.cs.ucl.ac.uk_gecco2000_GP235.pdf http://gpbib.cs.ucl.ac.uk/gecco2000/GP235.pdf
http___gpbib.cs.ucl.ac.uk_gecco2000_GP235.ps http://gpbib.cs.ucl.ac.uk/gecco2000/GP235.ps
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JungseokShin.html
MoonyoungKang.html
RI_Bob_McKay.html
NguyenXuanHoai.html
Tuan-HaoHoang.html
NaokiMori.html
DarylEssam.html
http___dx.doi.org_10.1007_978-3-540-71605-1_23 http://dx.doi.org/10.1007/978-3-540-71605-1_23
Shintemirov:2009:ieeeSMC-C Power Transformer Fault Classification Based on Dissolved Gas Analysis by Implementing Bootstrap and Genetic Programming
AlmasShintemirov.html
WTang.html
HenryWu.html
http___dx.doi.org_10.1109_TSMCC.2008.2007253 http://dx.doi.org/10.1109/TSMCC.2008.2007253
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AlmasShintemirov.html
WenhuTang.html
HenryWu.html
JFitch.html
http___dx.doi.org_10.1109_PES.2009.5275606 http://dx.doi.org/10.1109/PES.2009.5275606
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AlmasShintemirov.html
http___ethos.bl.uk_OrderDetails.do_uin_uk.bl.ethos.507663 http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.507663
Shintemirov:book Intelligent Modelling and Condition Assessment of Power Transformers
AlmasShintemirov.html
http___www.amazon.com_Intelligent-Modelling-Condition-Assessment-Transformers_dp_3659357863_ref_sr_1_1_s_books_ie_UTF8_qid_1395766363_sr_1-1 http://www.amazon.com/Intelligent-Modelling-Condition-Assessment-Transformers/dp/3659357863/ref=sr_1_1?s=books&ie=UTF8&qid=1395766363&sr=1-1
https___www.lap-publishing.com_catalog_details_store_gb_book_978-3-659-35786-2_intelligent-modelling-and-condition-assessment-of-power-transformers https://www.lap-publishing.com/catalog/details/store/gb/book/978-3-659-35786-2/intelligent-modelling-and-condition-assessment-of-power-transformers
Shir:GPEM:hybridMH Christian Blum and G\"unther R. Raidl: Hybrid metaheuristics---powerful tools for optimization
OferMShir.html
http___dx.doi.org_10.1007_s10710-017-9316-x http://dx.doi.org/10.1007/s10710-017-9316-x
Shir:2020:GECCOcompa Sequential Experimentation by Evolutionary Algorithms
OferMShir.html
ThomasBack.html
https___doi.org_10.1145_3377929.3389877 https://doi.org/10.1145/3377929.3389877
http___dx.doi.org_10.1145_3377929.3389877 http://dx.doi.org/10.1145/3377929.3389877
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YuhkiShiraishi.html
KotaroHirasawa.html
JingluHu.html
JunichiMurata.html
1277290 Graph structured program evolution
ShinichiShirakawa.html
ShintaroOgino.html
TomoharuNagao.html
http___gpbib.cs.ucl.ac.uk_gecco2007_docs_p1686.pdf http://gpbib.cs.ucl.ac.uk/gecco2007/docs/p1686.pdf
http___dx.doi.org_10.1145_1276958.1277290 http://dx.doi.org/10.1145/1276958.1277290
Shirakawa:2007:SMC Evolution of Sorting Algorithm using Graph Structured Program Evolution
ShinichiShirakawa.html
TomoharuNagao.html
http___dx.doi.org_10.1109_ICSMC.2007.4413828 http://dx.doi.org/10.1109/ICSMC.2007.4413828
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ShinichiShirakawa.html
TomoharuNagao.html
http___dx.doi.org_10.1007_978-3-540-76856-2_28 http://dx.doi.org/10.1007/978-3-540-76856-2_28
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ShinichiShirakawa.html
TomoharuNagao.html
http___gpbib.cs.ucl.ac.uk_gecco2008_docs_p2217.pdf http://gpbib.cs.ucl.ac.uk/gecco2008/docs/p2217.pdf
http___dx.doi.org_10.1145_1388969.1389048 http://dx.doi.org/10.1145/1388969.1389048
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ShinichiShirakawa.html
ShintaroOgino.html
TomoharuNagao.html
http___dx.doi.org_10.1002_tee.20311 http://dx.doi.org/10.1002/tee.20311
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ShinichiShirakawa.html
TomoharuNagao.html
http___dx.doi.org_10.1007_978-3-642-01181-8_10 http://dx.doi.org/10.1007/978-3-642-01181-8_10
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ShinichiShirakawa.html
ShiroNakayama.html
TomoharuNagao.html
http___dx.doi.org_10.1007_978-3-642-01129-0_44 http://dx.doi.org/10.1007/978-3-642-01129-0_44
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ShinichiShirakawa.html
TomoharuNagao.html
http___dx.doi.org_10.1145_1569901.1570050 http://dx.doi.org/10.1145/1569901.1570050
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ShinichiShirakawa.html
TomoharuNagao.html
http___dx.doi.org_10.1007_978-1-4419-1626-6_11 http://dx.doi.org/10.1007/978-1-4419-1626-6_11
Shirakawa:2010:cec Evolving search spaces to emphasize the performance difference of real-coded crossovers using genetic programming
ShinichiShirakawa.html
NorikoYata.html
TomoharuNagao.html
http___dx.doi.org_10.1109_CEC.2010.5586065 http://dx.doi.org/10.1109/CEC.2010.5586065
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ShinichiShirakawa.html
http___hdl.handle.net_10131_6717 http://hdl.handle.net/10131/6717
http___kamome.lib.ynu.ac.jp_dspace_bitstream_10131_6717_1_12201064-01.pdf http://kamome.lib.ynu.ac.jp/dspace/bitstream/10131/6717/1/12201064-01.pdf
Shirakawa:2011:acoma Automatic Construction of Programs Using Dynamic Ant Programming
ShinichiShirakawa.html
ShintaroOgino.html
TomoharuNagao.html
http___www.intechopen.com_books_ant-colony-optimization-methods-and-applications_automatic-construction-of-programs-using-dynamic-ant-programming http://www.intechopen.com/books/ant-colony-optimization-methods-and-applications/automatic-construction-of-programs-using-dynamic-ant-programming
http___www.intechopen.com_download_pdf_13589 http://www.intechopen.com/download/pdf/13589
http___dx.doi.org_10.5772_13786 http://dx.doi.org/10.5772/13786
shirasaka:1998:adbdtGP Automatic Design of Binary Decision Trees Based on Genetic Programming
MitsuyoshiShirasaka.html
QiangfuZhao.html
OmarHammami.html
KenichiKuroda.html
KazuyukiSaito.html
http___www.u-aizu.ac.jp__qf-zhao_CONTRIBUTION_seal98.ps.Z http://www.u-aizu.ac.jp/~qf-zhao/CONTRIBUTION/seal98.ps.Z
http___citeseer.ist.psu.edu_shirasaka98automatic.html http://citeseer.ist.psu.edu/shirasaka98automatic.html
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JalalShiri.html
OzgurKisi.html
http___dx.doi.org_10.1016_j.cageo.2010.11.010 http://dx.doi.org/10.1016/j.cageo.2010.11.010
http___www.sciencedirect.com_science_article_B6V7D-51NNPFY-3_2_a9730f48b501cdb19b0197c8197ea42c http://www.sciencedirect.com/science/article/B6V7D-51NNPFY-3/2/a9730f48b501cdb19b0197c8197ea42c
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JalalShiri.html
OzgurKisi.html
GorkaLanderas.html
JoseJavierLopez.html
AmirHosseinNazemi.html
LouisCPMStuyt.html
http___dx.doi.org_10.1016_j.jhydrol.2011.11.004 http://dx.doi.org/10.1016/j.jhydrol.2011.11.004
http___www.sciencedirect.com_science_article_pii_S0022169411007670 http://www.sciencedirect.com/science/article/pii/S0022169411007670
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JalalShiri.html
OzgurKisi.html
HeesungYoon.html
Kang-KunLee.html
AmirHosseinNazemi.html
http___dx.doi.org_10.1016_j.cageo.2013.01.007 http://dx.doi.org/10.1016/j.cageo.2013.01.007
http___www.sciencedirect.com_science_article_pii_S0098300413000216 http://www.sciencedirect.com/science/article/pii/S0098300413000216
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JalalShiri.html
AliAshrafSadraddini.html
AmirHosseinNazemi.html
OzgurKisi.html
GorkaLanderas.html
AhmadFakheriFard.html
PauMarti.html
http___dx.doi.org_10.1016_j.jhydrol.2013.10.034 http://dx.doi.org/10.1016/j.jhydrol.2013.10.034
http___www.sciencedirect.com_science_article_pii_S0022169413007634 http://www.sciencedirect.com/science/article/pii/S0022169413007634
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MichalShlapentokh-Rothman.html
ErikHemberg.html
Una-MayO'Reilly.html
https___doi.org_10.1145_3377929.3398085 https://doi.org/10.1145/3377929.3398085
http___dx.doi.org_10.1145_3377929.3398085 http://dx.doi.org/10.1145/3377929.3398085
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ElizavetaYuShmalko.html
AskhatDiveevIbraghimovich.html
https___www.mdpi.com_2076-3417_11_12_5468 https://www.mdpi.com/2076-3417/11/12/5468
http___dx.doi.org_10.3390_app11125468 http://dx.doi.org/10.3390/app11125468
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IanShoenberger.html
MohamedWiemMkaouer.html
MarouaneKessentini.html
http___dx.doi.org_10.1007_978-3-319-55792-2_2 http://dx.doi.org/10.1007/978-3-319-55792-2_2
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MohammdrezaShojaei.html
GholamRezaKhayati.html
http___dx.doi.org_10.1007_s42979-021-00901-4 http://dx.doi.org/10.1007/s42979-021-00901-4
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EissaMEl-MShokir.html
MusaedNJAlAwad.html
AdulhrahmanAAl-Quraishi.html
OsamaAAl-Mahdy.html
http___www.sciencedirect.com_science_article_pii_S0263876211003911 http://www.sciencedirect.com/science/article/pii/S0263876211003911
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HShokrkar.html
ASalahi.html
NKasiri.html
TMohammadi.html
http___dx.doi.org_10.1016_j.cherd.2011.10.002 http://dx.doi.org/10.1016/j.cherd.2011.10.002
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Shorten:mastersthesis Spectral analysis of neutral evolution
DavidShorten.html
http___hdl.handle.net_11427_27420 http://hdl.handle.net/11427/27420
https___open.uct.ac.za_bitstream_handle_11427_27420_thesis_sci_2017_shorten_david.pdf https://open.uct.ac.za/bitstream/handle/11427/27420/thesis_sci_2017_shorten_david.pdf
oai:arXiv.org:1304.5594 Dew Point modelling using GEP based multi objective optimization
SiddharthShroff.html
VipulKDabhi.html
http___arxiv.org_abs_1304.5594 http://arxiv.org/abs/1304.5594
shtovba_fast_2004 A fast genetic algorithm for optimizing the checking-retrofit procedures in multidimensional technological processes
SerhiDShtovba.html
OMKozachko.html
GeorgiosDounias.html
http___shtovba.vk.vntu.edu.ua_file_2f0a6e4a944e7489bbd0990cb94d234d.pdf http://shtovba.vk.vntu.edu.ua/file/2f0a6e4a944e7489bbd0990cb94d234d.pdf
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SanjayKumarShukla.html
ManojKumarTiwari.html
http___dx.doi.org_10.1016_j.eswa.2007.09.065 http://dx.doi.org/10.1016/j.eswa.2007.09.065
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Wing-HoShum.html
Kwong-SakLeung.html
ManLeungWong.html
http___dx.doi.org_10.1007_11508069_71 http://dx.doi.org/10.1007/11508069_71
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Wing-HoShum.html
Kwong-SakLeung.html
ManLeungWong.html
http___cptra.ln.edu.hk__mlwong_conference_icdm2005.pdf http://cptra.ln.edu.hk/~mlwong/conference/icdm2005.pdf
http___dx.doi.org_10.1109_ICDM.2005.86 http://dx.doi.org/10.1109/ICDM.2005.86
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Wing-HoShum.html
Kwong-SakLeung.html
ManLeungWong.html
http___ieeexplore.ieee.org_xpls_abs_all.jsp_isnumber_33913_amp_arnumber_1618469_amp_count_182_amp_index_144 http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=33913&arnumber=1618469&count=182&index=144
http___dx.doi.org_10.1109_AICCSA.2006.205204 http://dx.doi.org/10.1109/AICCSA.2006.205204
Shum:2006:CEC Learning non-overlapping rules A method based on Functional Dependency Network and MDL Genetic Programming
Wing-HoShum.html
Kwong-SakLeung.html
ManLeungWong.html
http___dx.doi.org_10.1109_CEC.2006.1688380 http://dx.doi.org/10.1109/CEC.2006.1688380
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Wing-HoShum.html
Kwong-SakLeung.html
ManLeungWong.html
http___dx.doi.org_10.1109_ICCGI.2006.46 http://dx.doi.org/10.1109/ICCGI.2006.46
Shun:2014:ICCST Hybridized GP and self-adaptive DE for morphology-controller co-evolution of heterogeneous modular robots
CheeWeiShun.html
JasonTeo.html
http___dx.doi.org_10.1109_ICCST.2014.7045185 http://dx.doi.org/10.1109/ICCST.2014.7045185
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MethaqAShyaa.html
ZurinahniZainol.html
RosniAbdullah.html
MohammedAnbar.html
LaithAlzubaidi.html
JoseSantamaria.html
https___www.mdpi.com_1424-8220_23_7_3736 https://www.mdpi.com/1424-8220/23/7/3736
http___dx.doi.org_10.3390_s23073736 http://dx.doi.org/10.3390/s23073736
shyu+foster:2002:gecco:workshop Evolutionary Approach for Inferring Phylogenetic Trees
ConradShyu.html
JamesAFoster.html
shyu:2002:gecco:workshop Evolutionary Approach for Inferring Phylogenetic Trees
ConradShyu.html
JamesAFoster.html
shyu:2004:GPEM Multiple Sequence Alignment with Evolutionary Computation
ConradShyu.html
LukeSheneman.html
JamesAFoster.html
http___dx.doi.org_10.1023_B_GENP.0000023684.05565.78 http://dx.doi.org/10.1023/B:GENP.0000023684.05565.78
Si:2006:BMC QSAR study of 1,4-dihydropyridine calcium channel antagonists based on gene expression programming
HongZongSi.html
TaoWang.html
KeJunZhang.html
ZhiDeHu.html
BoTaoFan.html
http___dx.doi.org_10.1016_j.bmc.2006.03.019 http://dx.doi.org/10.1016/j.bmc.2006.03.019
Si:2007:QCS QSAR Model for Prediction Capacity Factor of Molecular Imprinting Polymer Based on Gene Expression Programming
HongZongSi.html
KeJunZhang.html
ZhiDeHu.html
BoTaoFan.html
http___dx.doi.org_10.1002_qsar.200530187 http://dx.doi.org/10.1002/qsar.200530187
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HongZongSi.html
TaoWang.html
KeJunZhang.html
Yun-BoDuan.html
ShupingYuan.html
AipingFu.html
ZhiDeHu.html
http___dx.doi.org_10.1016_j.aca.2007.03.070 http://dx.doi.org/10.1016/j.aca.2007.03.070
http___www.sciencedirect.com_science_article_B6TF4-4NF7Y81-4_2_ac3d6187ae70344e4a0ed708969130c9 http://www.sciencedirect.com/science/article/B6TF4-4NF7Y81-4/2/ac3d6187ae70344e4a0ed708969130c9
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HongZongSi.html
ShupingYuan.html
KeJunZhang.html
AipingFu.html
Yun-BoDuan.html
ZhiDeHu.html
http___dx.doi.org_10.1016_j.chemolab.2007.06.011 http://dx.doi.org/10.1016/j.chemolab.2007.06.011
http___www.sciencedirect.com_science_article_B6TFP-4P4NPBY-1_2_1df63d4bd3ed6dac5d3eaa1ccb30d478 http://www.sciencedirect.com/science/article/B6TFP-4P4NPBY-1/2/1df63d4bd3ed6dac5d3eaa1ccb30d478
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IvarSiccama.html
MaartenKeijzer.html
http___gpbib.cs.ucl.ac.uk_gecco2005wks_papers_0164.pdf http://gpbib.cs.ucl.ac.uk/gecco2005wks/papers/0164.pdf
Sickel:2010:cec Genetic programming for Expert Systems
KonradSickel.html
JoachimHornegger.html
http___dx.doi.org_10.1109_CEC.2010.5586200 http://dx.doi.org/10.1109/CEC.2010.5586200
DissertationKonradSickel Computerized Automatic Modeling of Medical Prostheses
KonradSickel.html
https___opus4.kobv.de_opus4-fau_frontdoor_index_index_year_2013_docId_3378 https://opus4.kobv.de/opus4-fau/frontdoor/index/index/year/2013/docId/3378
https___opus4.kobv.de_opus4-fau_files_3378_DissertationKonradSickel.pdf https://opus4.kobv.de/opus4-fau/files/3378/DissertationKonradSickel.pdf
sidhu:1998:fpl Genetic Programming using Self-Reconfigurable FPGAs
ReetinderPSSidhu.html
AlessandroMei.html
ViktorKPrasanna.html
http___ceng.usc.edu__prasanna_papers_sidhuFPL99.ps http://ceng.usc.edu/~prasanna/papers/sidhuFPL99.ps
http___citeseer.ist.psu.edu_sidhu00selfreconfigurable.html http://citeseer.ist.psu.edu/sidhu00selfreconfigurable.html
http___dx.doi.org_10.1007_b72332 http://dx.doi.org/10.1007/b72332
http___dx.doi.org_10.1007_978-3-540-48302-1_31 http://dx.doi.org/10.1007/978-3-540-48302-1_31
Siebel:2010:ijcnn Accelerating neuro-evolution by compilation to native machine code
NilsTSiebel.html
AndreasJordt.html
GeraldSommer.html
http___dx.doi.org_10.1109_IJCNN.2010.5596296 http://dx.doi.org/10.1109/IJCNN.2010.5596296
kinnear:siegel Competitively Evolving Decision Trees Against Fixed Training Cases for Natural Language Processing
EricSiegel.html
http___www1.cs.columbia.edu_nlp_papers_1994_siegel_94.pdf http://www1.cs.columbia.edu/nlp/papers/1994/siegel_94.pdf
http___www.amazon.co.uk_Advances-Genetic-Programming-Complex-Adaptive_dp_0262111888 http://www.amazon.co.uk/Advances-Genetic-Programming-Complex-Adaptive/dp/0262111888
http___cognet.mit.edu_sites_default_files_books_9780262277181_pdfs_9780262277181_chap19.pdf http://cognet.mit.edu/sites/default/files/books/9780262277181/pdfs/9780262277181_chap19.pdf
http___dx.doi.org_10.7551_mitpress_1108.003.0025 http://dx.doi.org/10.7551/mitpress/1108.003.0025
siegel2 Emergent linguistic rules from inducing decision trees: disambiguating discourse clue words
EricSiegel.html
KathleenRMcKeown.html
http___www.cs.columbia.edu__evs_papers_aaai94.ps http://www.cs.columbia.edu/~evs/papers/aaai94.ps
siegel:1995:aaai-fgp Working notes AAAI-95 Fall Symposium Series Genetic Programming
EricSiegel.html
JohnKoza.html
http___www.cs.columbia.edu__evs_gpsym95_working.html http://www.cs.columbia.edu/~evs/gpsym95/working.html
http___www.aaai.org_Library_Symposia_Fall_fs95-01.php http://www.aaai.org/Library/Symposia/Fall/fs95-01.php
siegel:1995:aaai-fgpWWW Collective Brainstorming at the AAAI Symposium on Genetic Programming
http___www.cs.columbia.edu__evs_gpsym95.html http://www.cs.columbia.edu/~evs/gpsym95.html
Siegel:1996:AImag The 1995 Fall Symposia Series: Genetic Programming
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https___ojs.aaai.org_aimagazine_index.php_aimagazine_article_download_1214_1115 https://ojs.aaai.org/aimagazine/index.php/aimagazine/article/download/1214/1115
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971886 Learning methods to combine linguistic indicators: improving aspectual classification and revealing linguistic insights
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Silva:2009:eurogp Extending Operator Equalisation: Fitness Based Self Adaptive Length Distribution for Bloat Free GP
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http___dx.doi.org_10.1007_978-3-642-01181-8_14 http://dx.doi.org/10.1007/978-3-642-01181-8_14
DBLP:conf/gecco/SilvaV09 Operator equalisation, bloat and overfitting: a study on human oral bioavailability prediction
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Silva:2012:GPEM Operator equalisation for bloat free genetic programming and a survey of bloat control methods
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Silva:2012:GPEMed Guest editorial: special issue on selected papers from the European conference on genetic programming
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http___dx.doi.org_10.1007_978-3-319-34223-8_13 http://dx.doi.org/10.1007/978-3-319-34223-8_13
Silva:2015:GECCO GECCO '15: Proceedings of the 2015 Annual Conference on Genetic and Evolutionary Computation
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http___dx.doi.org_10.1145_2739480 http://dx.doi.org/10.1145/2739480
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http___dx.doi.org_10.1016_j.eswa.2014.11.052 http://dx.doi.org/10.1016/j.eswa.2014.11.052
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http___www.theses.fr_2015CLF22617 http://www.theses.fr/2015CLF22617
http___www.sudoc.fr_191999954 http://www.sudoc.fr/191999954
https___tel.archives-ouvertes.fr_tel-01325229 https://tel.archives-ouvertes.fr/tel-01325229
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http___dx.doi.org_10.1109_SCCC49216.2019.8966437 http://dx.doi.org/10.1109/SCCC49216.2019.8966437
Sim:2013:GECCO Generating single and multiple cooperative heuristics for the one dimensional bin packing problem using a single node genetic programming island model
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http___dx.doi.org_10.1145_2463372.2463555 http://dx.doi.org/10.1145/2463372.2463555
Sim:2014:EC A Lifelong Learning Hyper-heuristic Method for Bin Packing
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http___dx.doi.org_10.1162_EVCO_a_00121 http://dx.doi.org/10.1162/EVCO_a_00121
Sim:2016:GECCO A Combined Generative and Selective Hyper-heuristic for the Vehicle Routing Problem
KevinSim.html
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http___dx.doi.org_10.1145_2908812.2908942 http://dx.doi.org/10.1145/2908812.2908942
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http___dx.doi.org_10.1007_978-3-319-65340-2_34 http://dx.doi.org/10.1007/978-3-319-65340-2_34
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http___eu.wiley.com_WileyCDA_WileyTitle_productCd-0470937416.html http://eu.wiley.com/WileyCDA/WileyTitle/productCd-0470937416.html
Sims91 Artificial Evolution for Computer Graphics
KarlSims.html
sims91a Artificial Evolution for Computer Graphics
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https___www.karlsims.com_papers_SimsSiggraph91.pdf https://www.karlsims.com/papers/SimsSiggraph91.pdf
http___delivery.acm.org_10.1145_130000_122752_p319-sims.pdf http://delivery.acm.org/10.1145/130000/122752/p319-sims.pdf
http___dx.doi.org_10.1145_122718.122752 http://dx.doi.org/10.1145/122718.122752
http___www.karlsims.com_papers_siggraph91.html http://www.karlsims.com/papers/siggraph91.html
sims:panspermia panspermia
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http___www.karlsims.com_panspermia.html http://www.karlsims.com/panspermia.html
http___www.archive.org_details_sims_panspermia_1990 http://www.archive.org/details/sims_panspermia_1990
Sims:1994:ieds Interactive evolution of dynamical systems
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http___www.alife.org_conference_ecal-1991 http://www.alife.org/conference/ecal-1991
http___www.karlsims.com_papers_DynamicalSystemsECAL92.pdf http://www.karlsims.com/papers/DynamicalSystemsECAL92.pdf
https___mitpress.mit.edu_books_toward-practice-autonomous-systems https://mitpress.mit.edu/books/toward-practice-autonomous-systems
Sims:1992:ieepm Interactive evolution of equations for procedural models
KarlSims.html
Sims:1993:ieepm Interactive evolution of equations for procedural models
KarlSims.html
http___dx.doi.org_10.1007_BF01888721 http://dx.doi.org/10.1007/BF01888721
Sims:1993:ei Evolving Images
KarlSims.html
Sims:1994:evc Evolving Virtual Creatures
KarlSims.html
http___web.genarts.com_karl_papers_siggraph94.pdf http://web.genarts.com/karl/papers/siggraph94.pdf
http___dx.doi.org_10.1145_192161.192167 http://dx.doi.org/10.1145/192161.192167
https___www.youtube.com_watch_v_RZtZia4ZkX8 https://www.youtube.com/watch?v=RZtZia4ZkX8
alife94:sims Evolving 3D Morphology and Behaviour by Competition
KarlSims.html
http___web.genarts.com_karl_papers_alife94.pdf http://web.genarts.com/karl/papers/alife94.pdf
DBLP:journals/jossw/Simson19 LGP: A robust Linear Genetic Programming implementation on the JVM using Kotlin
JedSimson.html
https___doi.org_10.21105_joss.01337 https://doi.org/10.21105/joss.01337
http___dx.doi.org_10.21105_joss.01337 http://dx.doi.org/10.21105/joss.01337
https___dblp.org_rec_journals_jossw_Simson19.bib https://dblp.org/rec/journals/jossw/Simson19.bib
sinclair:1997:essa Evolving Simple Software Agents: Comparing Genetic Algorithm and Genetic Programming Performance
MarkCSinclair.html
SajjadHaiderShami.html
http___uk.geocities.com_markcsinclair_ps_galesia97_sin.ps.gz http://uk.geocities.com/markcsinclair/ps/galesia97_sin.ps.gz
http___dx.doi.org_10.1049_cp_19971217 http://dx.doi.org/10.1049/cp:19971217
sinclair:1999:OMNTDNEGP Optical Mesh Network Topology Design using Node-Pair Encoding Genetic Programming
MarkCSinclair.html
http___citeseer.ist.psu.edu_177545.html http://citeseer.ist.psu.edu/177545.html
http___gpbib.cs.ucl.ac.uk_gecco1999_GP-426.pdf http://gpbib.cs.ucl.ac.uk/gecco1999/GP-426.pdf
http___gpbib.cs.ucl.ac.uk_gecco1999_GP-426.ps http://gpbib.cs.ucl.ac.uk/gecco1999/GP-426.ps
Singh:2017:ICCCA Adaptive genetic programming based linkage rule miner for entity linking in Semantic Web
AmitSingh.html
AditiSharan.html
http___dx.doi.org_10.1109_CCAA.2017.8229829 http://dx.doi.org/10.1109/CCAA.2017.8229829
DBLP:journals/evi/SinghS19 Unsupervised genetic programming based linkage rule (UGPLR) Miner for entity linking in semantic web
AmitSingh.html
AditiSharan.html
https___doi.org_10.1007_s12065-019-00263-0 https://doi.org/10.1007/s12065-019-00263-0
http___dx.doi.org_10.1007_s12065-019-00263-0 http://dx.doi.org/10.1007/s12065-019-00263-0
https___dblp.org_rec_journals_evi_SinghS19.bib https://dblp.org/rec/journals/evi/SinghS19.bib
Singh:2020:IRMA Genetic-Fuzzy Programming Based Linkage Rule Miner (GFPLR-Miner) for Entity Linking in Semantic Web
AmitSingh.html
AditiSharan.html
http___dx.doi.org_10.4018_978-1-7998-8048-6 http://dx.doi.org/10.4018/978-1-7998-8048-6
http___dx.doi.org_10.4018_978-1-7998-8048-6.ch023 http://dx.doi.org/10.4018/978-1-7998-8048-6.ch023
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AnubhavSingh.html
ZewenGu.html
XiaonanHou.html
YidingLiu.html
DarrenJHughes.html
http___dx.doi.org_10.1016_j.compstruct.2021.115107 http://dx.doi.org/10.1016/j.compstruct.2021.115107
https___www.sciencedirect.com_science_article_pii_S0263822321015257 https://www.sciencedirect.com/science/article/pii/S0263822321015257
Singh:2007:ICE Combined neural network--genetic programming for sediment transport
ArvindKSingh.html
MCDeo.html
VSanilKumar.html
http___dx.doi.org_10.1680_maen.2007.160.3.113 http://dx.doi.org/10.1680/maen.2007.160.3.113
Singh:thesis A Study of Pheromone Maps for Ant Colony Optimization Hyper-Heuristics
EmilioSingh.html
https___www.cs.up.ac.za_cs_nicog_Theses.htm https://www.cs.up.ac.za/cs/nicog/Theses.htm
https___www.cs.up.ac.za_cs_nicog_phd_Singh.pdf https://www.cs.up.ac.za/cs/nicog/phd/Singh.pdf
Singh:2022:CEC A Study of Transfer Learning in an Ant-Based Generation Construction Hyper-Heuristic
EmilioSingh.html
NelishiaPillay.html
http___dx.doi.org_10.1109_CEC55065.2022.9870415 http://dx.doi.org/10.1109/CEC55065.2022.9870415
Singh:2023:UPCON Hybrid Feature Selection Techniques in Intrusion Detection System
HarvinderSingh.html
SunitaBeniwal.html
DharminderKumar.html
http___dx.doi.org_10.1109_UPCON59197.2023.10434892 http://dx.doi.org/10.1109/UPCON59197.2023.10434892
Singh:2012:IJCT Performance Evolution of Intrusion Detection system on MANET Using Genetic Evolution
KirtiSingh.html
PoonamYadav.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.300.2073 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.300.2073
DBLP:conf/gecco/SinghKDW09 Genetic programming based image segmentation with applications to biomedical object detection
TarundeepSingh.html
NawwafKharma.html
MohmmadDaoud.html
RababKWard.html
http___dx.doi.org_10.1145_1569901.1570052 http://dx.doi.org/10.1145/1569901.1570052
conf/profes/SinghKM09 Prediction of Software Quality Model Using Gene Expression Programming
YogeshSingh.html
ArvinderKaur.html
RuchikaMalhotra.html
http___dx.doi.org_10.1007_978-3-642-02152-7_5 http://dx.doi.org/10.1007/978-3-642-02152-7_5
Singh:2011:ijca Prediction of Fault-Prone Software Modules using Statistical and Machine Learning Methods
YogeshSingh.html
ArvinderKaur.html
RuchikaMalhotra.html
http___www.ijcaonline.org_archives_number22_525-685 http://www.ijcaonline.org/archives/number22/525-685
http___www.ijcaonline.org_journal_number22_pxc387685.pdf http://www.ijcaonline.org/journal/number22/pxc387685.pdf
http___dx.doi.org_10.5120_525-685 http://dx.doi.org/10.5120/525-685
Singhal:2015:INDIACom Investigation of effect of reducing dataset's size on classification algorithms
NeelamSinghal.html
MohdAshraf.html
http___ieeexplore.ieee.org_xpl_articleDetails.jsp_tp__arnumber_7100598 http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=7100598
Singhal:2015:ICCCA Performance enhancement of classification scheme in data mining using hybrid algorithm
NeelamSinghal.html
MohdAshraf.html
http___dx.doi.org_10.1109_CCAA.2015.7148360 http://dx.doi.org/10.1109/CCAA.2015.7148360
Singhal:2019:GECCOcomp Neural network-based multiomics data integration in Alzheimer's disease
PankhuriSinghal.html
ShefaliSVerma.html
ScottMDudek.html
MarylynDRitchie.html
http___dx.doi.org_10.1145_3319619.3321920 http://dx.doi.org/10.1145/3319619.3321920
singleton:byte Genetic Programming with C++
AndrewSingleton.html
http___www.assembla.com_wiki_show_andysgp_GPQuick_Article http://www.assembla.com/wiki/show/andysgp/GPQuick_Article
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_singleton_byte.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/singleton_byte.pdf
icga93-gp:singleton Meta GA, Desktop Supercomputing and Object-Orientated GP
AndrewSingleton.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_ftp.io.com_papers_ICGA-93-GP-Abstracts.ps.Z http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/ftp.io.com/papers/ICGA-93-GP-Abstracts.ps.Z
singleton:2000:TSHEMDJO The Scavenger Hunt: Evolving the Mobility of Distributed Java Objects
ToddSingleton.html
conf/acri/Sipper06 Attaining Human-Competitive Game Playing with Genetic Programming
MosheSipper.html
http___dx.doi.org_10.1007_11861201_4 http://dx.doi.org/10.1007/11861201_4
Sipper:2006:EN64 Evolving Game-Playing Strategies with Genetic Programming
MosheSipper.html
http___www.ercim.eu_publication_Ercim_News_enw64_sipper.html http://www.ercim.eu/publication/Ercim_News/enw64/sipper.html
http___www.ercim.eu_publication_Ercim_News_enw64_EN64.pdf http://www.ercim.eu/publication/Ercim_News/enw64/EN64.pdf
sipper:2007:SMC Designing an Evolutionary Strategizing Machine for Game Playing and Beyond
MosheSipper.html
YanivAzaria.html
AmiHauptman.html
YehonatanShichel.html
http___dx.doi.org_10.1109_TSMCC.2007.897326 http://dx.doi.org/10.1109/TSMCC.2007.897326
Sipper:2008:GPEM Introduction to Special Section on Evolutionary Computation in Games
MosheSipper.html
MarioGiacobini.html
http___dx.doi.org_10.1007_s10710-008-9066-x http://dx.doi.org/10.1007/s10710-008-9066-x
Sipper:2011:GPTP Let the Games Evolve!
MosheSipper.html
http___dx.doi.org_10.1007_978-1-4614-1770-5_2 http://dx.doi.org/10.1007/978-1-4614-1770-5_2
EvolvedToWin Evolved to Win
MosheSipper.html
http___www.lulu.com_product_ebook_evolved-to-win_18702814 http://www.lulu.com/product/ebook/evolved-to-win/18702814
http___www.lulu.com_product_paperback_evolved-to-win_18702740 http://www.lulu.com/product/paperback/evolved-to-win/18702740
http___www.moshesipper.com_evolved-to-win.html http://www.moshesipper.com/evolved-to-win.html
http___www.moshesipper.com_uploads_3_0_8_3_30831095_evolvedtowin.pdf http://www.moshesipper.com/uploads/3/0/8/3/30831095/evolvedtowin.pdf
Sipper:2012:USE:2406356.2406358 Ubiquity symposium: Evolutionary computation and the processes of life: Darwinian software engineering: the short term, the middle ground, and the long haul
MosheSipper.html
http___dx.doi.org_10.1145_2406356.2406358 http://dx.doi.org/10.1145/2406356.2406358
Sipper:2014:GPEM Commentary on ''Genetic Programming and Emergence''
MosheSipper.html
http___dx.doi.org_10.1007_s10710-013-9203-z http://dx.doi.org/10.1007/s10710-013-9203-z
Sipper:2014:sigevolution Lunch Isn't Free, But Cells Are: Evolving FreeCell Players
MosheSipper.html
AchiyaElyasaf.html
http___www.sigevolution.org_issues_pdf_SIGEVOlution060304.pdf http://www.sigevolution.org/issues/pdf/SIGEVOlution060304.pdf
http___dx.doi.org_10.1145_2661740.2661741 http://dx.doi.org/10.1145/2661740.2661741
Sipper:2017:arxiv From MEGATON to RASCAL: Surfing the Parameter Space of Evolutionary Algorithms
MosheSipper.html
WeixuanFu.html
KarunaAhuja.html
JasonHMoore.html
https___arxiv.org_abs_1706.04119 https://arxiv.org/abs/1706.04119
Sipper2018 Investigating the parameter space of evolutionary algorithms
MosheSipper.html
WeixuanFu.html
KarunaAhuja.html
JasonHMoore.html
http___dx.doi.org_10.1186_s13040-018-0164-x http://dx.doi.org/10.1186/s13040-018-0164-x
Sipper2019tinyGP Tiny Genetic Programming in Python
MosheSipper.html
https___github.com_moshesipper_tiny_gp https://github.com/moshesipper/tiny_gp
Sipper:2019:EuroGP Solution and Fitness Evolution (SAFE): Coevolving Solutions and Their Objective Functions
MosheSipper.html
JasonHMoore.html
RyanJUrbanowicz.html
https___www.springer.com_us_book_9783030166694 https://www.springer.com/us/book/9783030166694
http___dx.doi.org_10.1007_978-3-030-16670-0_10 http://dx.doi.org/10.1007/978-3-030-16670-0_10
Sipper:GPEM:gptp Genetic Programming Theory and Practice: A Fifteen-Year Trajectory
MosheSipper.html
JasonHMoore.html
http___dx.doi.org_10.1007_s10710-019-09353-5 http://dx.doi.org/10.1007/s10710-019-09353-5
Sipper:2019:GPTP New Pathways in Coevolutionary Computation
MosheSipper.html
JasonHMoore.html
RyanJUrbanowicz.html
http___dx.doi.org_10.1007_978-3-030-39958-0_15 http://dx.doi.org/10.1007/978-3-030-39958-0_15
Sipper:2020:Programmatic_Boosting Programmatic Boosting
MosheSipper.html
JasonHMoore.html
Sipper_Moore:GPEM Symbolic-regression boosting
MosheSipper.html
JasonHMoore.html
https___rdcu.be_cFCTA https://rdcu.be/cFCTA
http___dx.doi.org_10.1007_s10710-021-09400-0 http://dx.doi.org/10.1007/s10710-021-09400-0
Sipper:2021:GPTP Four Weddings and a Numeral: A Song of Evolution and Learning
MosheSipper.html
eckity2022 EC-KitY: Evolutionary Computation Tool Kit in Python with Seamless Machine Learning Integration
MosheSipper.html
TomerHalperin.html
ItaiTzruia.html
AchiyaElyasaf.html
https___dblp.org_rec_journals_corr_abs-2207-10367.bib https://dblp.org/rec/journals/corr/abs-2207-10367.bib
https___doi.org_10.48550_arXiv.2207.10367 https://doi.org/10.48550/arXiv.2207.10367
http___dx.doi.org_10.48550_arXiv.2207.10367 http://dx.doi.org/10.48550/arXiv.2207.10367
https___github.com_ec-kity_ec-kity_ https://github.com/ec-kity/ec-kity/
Sipper:2022:mlwa AddGBoost: A gradient boosting-style algorithm based on strong learners
MosheSipper.html
JasonHMoore.html
https___www.sciencedirect.com_science_article_pii_S2666827021001225 https://www.sciencedirect.com/science/article/pii/S2666827021001225
http___dx.doi.org_10.1016_j.mlwa.2021.100243 http://dx.doi.org/10.1016/j.mlwa.2021.100243
Sipper:2022:sigevolution EC-KitY: Evolutionary Computation Tool-kit in Python
MosheSipper.html
https___evolution.sigevo.org_issues_HTML_sigevolution-15-4_index.htm https://evolution.sigevo.org/issues/HTML/sigevolution-15-4/index.htm
https___www.eckity.org_ https://www.eckity.org/
Sipper:2023:GPTP A Melting Pot of Evolution and Learning
MosheSipper.html
http___dx.doi.org_10.1007_978-981-99-8413-8_8 http://dx.doi.org/10.1007/978-981-99-8413-8_8
sitahong:2023:Processes Designing Dispatching Rules via Novel Genetic Programming with Feature Selection in Dynamic Job-Shop Scheduling
AdilanmuSitahong.html
YipingYuan.html
MingLi.html
JunyanMa.html
ZhiyongBa.html
YongxinLu.html
https___www.mdpi.com_2227-9717_11_1_65 https://www.mdpi.com/2227-9717/11/1/65
http___dx.doi.org_10.3390_pr11010065 http://dx.doi.org/10.3390/pr11010065
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SiphesihlePhilezwiniSithungu.html
DuncanAnthonyCoulter.html
ElizabethMarieEhlers.html
https___doi.org_10.1145_3372422.3372430 https://doi.org/10.1145/3372422.3372430
http___dx.doi.org_10.1145_3372422.3372430 http://dx.doi.org/10.1145/3372422.3372430
https___dblp.org_rec_conf_ciis_SithunguCE19.bib https://dblp.org/rec/conf/ciis/SithunguCE19.bib
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PitchayaSitthi-amorn.html
NicholasModly.html
WestleyWeimer.html
JasonLawrence.html
http___www.cs.virginia.edu__weimer_p_sitthiamorn_siga11.pdf http://www.cs.virginia.edu/~weimer/p/sitthiamorn_siga11.pdf
http___www.cs.virginia.edu__weimer_p_sitthiamorn_siga11_supp.pdf http://www.cs.virginia.edu/~weimer/p/sitthiamorn_siga11_supp.pdf
http___dx.doi.org_10.1145_2070781.2024186 http://dx.doi.org/10.1145/2070781.2024186
http___web.eecs.umich.edu__weimerw_p_sitthiamorn_siga11.mov http://web.eecs.umich.edu/~weimerw/p/sitthiamorn_siga11.mov
SIVAKUMAR:2020:JPS Fabrication of nickel-yttria stabilized zirconia 3D micro-pattern by atmospheric plasma spray as a dual-functional electrocatalyst for overall water splitting applications in alkaline medium
SankaranSivakumar.html
SubramaniamYugeswaran.html
KalimuthuVijayaSankar.html
LakshmananKumaresan.html
GurusamyShanmugavelayutham.html
YoedTsur.html
JianguoZhu.html
http___dx.doi.org_10.1016_j.jpowsour.2020.228526 http://dx.doi.org/10.1016/j.jpowsour.2020.228526
http___www.sciencedirect.com_science_article_pii_S0378775320308302 http://www.sciencedirect.com/science/article/pii/S0378775320308302
Sivapragasam2007266 Genetic programming model for forecast of short and noisy data
CSivapragasam.html
PVincent.html
GVasudevan.html
http___onlinelibrary.wiley.com_doi_10.1002_hyp.6226_abstract http://onlinelibrary.wiley.com/doi/10.1002/hyp.6226/abstract
http___dx.doi.org_10.1002_hyp.6226 http://dx.doi.org/10.1002/hyp.6226
Sivapragasam:2007:HP Genetic programming approach for flood routing in natural channels
CSivapragasam.html
RathinasamyMaheswaran.html
VeenaVenkatesh.html
http___dx.doi.org_10.1002_hyp.6628 http://dx.doi.org/10.1002/hyp.6628
Sivapragasam:2010:HP Reply to comment on ``Sivapragasam C, Maheswaran R, Venkatesh V. 2008. Genetic programming approach for flood routing in natural channels. Hydrological Processes 22: 623-628''
CSivapragasam.html
RathinasamyMaheswaran.html
VeenaVenkatesh.html
https___onlinelibrary.wiley.com_doi_abs_10.1002_hyp.7512 https://onlinelibrary.wiley.com/doi/abs/10.1002/hyp.7512
http___dx.doi.org_10.1002_hyp.7512 http://dx.doi.org/10.1002/hyp.7512
Sivapragasam20101849 Prediction of algal blooms using genetic programming
CSivapragasam.html
NitinMuttil.html
SMuthukumar.html
VMArun.html
https___vuir.vu.edu.au_15835_ https://vuir.vu.edu.au/15835/
http___www.sciencedirect.com_science_article_B6V6N-50F9603-1_2_b3bd8078447bc4206918e5d0eaebc0ef http://www.sciencedirect.com/science/article/B6V6N-50F9603-1/2/b3bd8078447bc4206918e5d0eaebc0ef
http___dx.doi.org_10.1016_j.marpolbul.2010.05.020 http://dx.doi.org/10.1016/j.marpolbul.2010.05.020
Sivapragasam:2015:AP Infilling of Rainfall Information Using Genetic Programming
CSivapragasam.html
NitinMuttil.html
MCatherinJeselia.html
SVisweshwaran.html
http___dx.doi.org_10.1016_j.aqpro.2015.02.128 http://dx.doi.org/10.1016/j.aqpro.2015.02.128
http___www.sciencedirect.com_science_article_pii_S2214241X15001297 http://www.sciencedirect.com/science/article/pii/S2214241X15001297
Sivapragasam:2015:APa Assessing Suitability of GP Modeling for Groundwater Level
CSivapragasam.html
KKannabiran.html
GKarthik.html
SRaja.html
http___dx.doi.org_10.1016_j.aqpro.2015.02.089 http://dx.doi.org/10.1016/j.aqpro.2015.02.089
http___www.sciencedirect.com_science_article_pii_S2214241X15000905 http://www.sciencedirect.com/science/article/pii/S2214241X15000905
Sivapragasam:2017:EMA Genetic programming-based mathematical modeling of influence of weather parameters in BOD5 removal by Lemna minor
CSivapragasam.html
SankararajanVanitha.html
NVNNampoothiri.html
RamKumarMahalakshmi.html
https___www.ncbi.nlm.nih.gov_pubmed_29103069 https://www.ncbi.nlm.nih.gov/pubmed/29103069
https___doi.org_10.1007_s10661-017-6337-0 https://doi.org/10.1007/s10661-017-6337-0
http___dx.doi.org_10.1007_s10661-017-6337-0 http://dx.doi.org/10.1007/s10661-017-6337-0
sivapragasam:2019:ICTIS Mathematical Modeling of Gradually Varied Flow with Genetic Programming: A Lab-Scale Application
CSivapragasam.html
PoomalaiSaravanan.html
KaliappanGaneshmoorthy.html
AtchuthaMuhil.html
SundharamoorthyDilip.html
SundarasrinivasanSaivishnu.html
http___link.springer.com_chapter_10.1007_978-981-13-1742-2_40 http://link.springer.com/chapter/10.1007/978-981-13-1742-2_40
http___dx.doi.org_10.1007_978-981-13-1742-2_40 http://dx.doi.org/10.1007/978-981-13-1742-2_40
SIVAPRAGASAM:2021:SCTSWWM Chapter 10 - Modeling Wastewater Treatment Process: A Genetic Programming Approach
CSivapragasam.html
NareshKSharma.html
SankararajanVanitha.html
http___dx.doi.org_10.1016_B978-0-12-824463-0.00026-4 http://dx.doi.org/10.1016/B978-0-12-824463-0.00026-4
https___www.sciencedirect.com_science_article_pii_B9780128244630000264 https://www.sciencedirect.com/science/article/pii/B9780128244630000264
Siwei:2005:pICWCNMC Gene expression programming based on simulated annealing
JiangSiwei.html
CaiZhihua.html
ZengDan.html
LiuYadong.html
QuLi.html
http___dx.doi.org_10.1109_WCNM.2005.1544273 http://dx.doi.org/10.1109/WCNM.2005.1544273
Skaruz:2009:cec Detecting Web Application Attacks with Use of Gene Expression Programming
JaroslawSkaruz.html
FranciszekSeredynski.html
http___dx.doi.org_10.1109_CEC.2009.4983190 http://dx.doi.org/10.1109/CEC.2009.4983190
conf/evoW/SkaruzS09 Web Application Security through Gene Expression Programming
JaroslawSkaruz.html
FranciszekSeredynski.html
http___dx.doi.org_10.1007_978-3-642-01129-0_1 http://dx.doi.org/10.1007/978-3-642-01129-0_1
Skaruz:2009:IMCSIT Intrusion Detection in Web Applications: Evolutionary Approach
JaroslawSkaruz.html
FranciszekSeredynski.html
http___www.proceedings2009.imcsit.org_pliks_iv_imcsit.pdf http://www.proceedings2009.imcsit.org/pliks/iv_imcsit.pdf
skinner:2005:CEC Mathematics Prevents Bloat
CameronSkinner.html
PatriciaJeanRiddle.html
ChristopherTriggs.html
http___dx.doi.org_10.1109_CEC.2005.1554710 http://dx.doi.org/10.1109/CEC.2005.1554710
Skobtsov:2005:ETSinformal Evolutionary Approach to Test Generation for Functional BIST
YASkobtsov.html
DmitryEIvanov.html
VYSkobtsov.html
RaimundUbar.html
JaanRaik.html
http___arxiv.org_abs_1008.0063 http://arxiv.org/abs/1008.0063
eurogp07:Slany Fitness Landscape Analysis and Image Filter Evolution Using Functional-Level CGP
KarelSlany.html
LukasSekanina.html
http___dx.doi.org_10.1007_978-3-540-71605-1_29 http://dx.doi.org/10.1007/978-3-540-71605-1_29
Slany:2009:eurogp Comparison of CGP and Age-Layered CGP Performance in Image Operator Evolution
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http___dx.doi.org_10.1007_978-3-642-01181-8_30 http://dx.doi.org/10.1007/978-3-642-01181-8_30
Slany:2009:ICAIS Towards the Automatic Evolutionary Prediction of the FOREX Market Behaviour
KarelSlany.html
http___dx.doi.org_10.1109_ICAIS.2009.31 http://dx.doi.org/10.1109/ICAIS.2009.31
Slany:2015:ECTA Cartesian Genetic Programming in a Changing Environment
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conf/ibica/SlapakN14 Multiobjective Genetic Programming of Agent Decision Strategies
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Slapak:2017:ICNC-FSKD Matching subtrees in genetic programming crossover operator
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Slapak:thesis Adaptive control algorithms of intelligent agents
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Slater:2013:plos1 Bystander Responses to a Violent Incident in an Immersive Virtual Environment
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RichardSouthern.html
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Slavov:1997:fliGP Fitness Landscapes and Inductive Genetic Programming
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Slavov:1997:iGPsfl Inductive Genetic Programming and Superposition of Fitness Landscapes
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Sledge:2008:NAFIPS Genetic fuzzy programs
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JamesMKeller.html
http___dx.doi.org_10.1109_NAFIPS.2008.4531236 http://dx.doi.org/10.1109/NAFIPS.2008.4531236
oai:arXiv.org:cs/0608078 Searching for Globally Optimal Functional Forms for Inter-Atomic Potentials Using Parallel Tempering and Genetic Programming
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journals/jcc/SlepoyPT07 Searching for globally optimal functional forms for interatomic potentials using genetic programming with parallel tempering
AlexSlepoy.html
MichaelDPeters.html
AidanPThompson.html
http___dx.doi.org_10.1002_jcc.20710 http://dx.doi.org/10.1002/jcc.20710
slivnik:2022:Mathematics On Comprehension of Genetic Programming Solutions: A Controlled Experiment on Semantic Inference
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Slopper:thesis Error Management in ATLAS TDAQ: An Intelligent Systems approach
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http___webcat.warwick.ac.uk_record_b2487406_S15 http://webcat.warwick.ac.uk/record=b2487406~S15
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Sloss:2019:GPTP 2019 Evolutionary Algorithms Review
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https___arxiv.org_abs_1906.08870 https://arxiv.org/abs/1906.08870
http___dx.doi.org_10.1007_978-3-030-39958-0_16 http://dx.doi.org/10.1007/978-3-030-39958-0_16
DBLP:journals/corr/abs-1906-08870 2019 Evolutionary Algorithms Review
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https___dblp.org_rec_bib_journals_corr_abs-1906-08870 https://dblp.org/rec/bib/journals/corr/abs-1906-08870
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Sloss:2021:GPTP Evolution of the Semiconductor Industry, and the Start of X Law
AndrewNSloss.html
http___dx.doi.org_10.1007_978-981-16-8113-4_11 http://dx.doi.org/10.1007/978-981-16-8113-4_11
Slowik:2022:II Guest Editorial: Hybrid Approaches to Nature-Inspired Population-Based Intelligent Optimization for Industrial Applications
AdamSlowik.html
KrzysztofCpalka.html
http___dx.doi.org_10.1109_TII.2021.3091137 http://dx.doi.org/10.1109/TII.2021.3091137
Smart:2007:EAAI Genetic programming of conventional features to detect seizure precursors
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http___dx.doi.org_10.1016_j.engappai.2007.02.002 http://dx.doi.org/10.1016/j.engappai.2007.02.002
Smart_Otis_L_200705_phd Evolutionary Algorithms and Frequent Itemset Mining for Analyzing Epileptic Oscillations
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Smart20119991 Grammatical evolution for features of epileptic oscillations in clinical intracranial electroencephalograms
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Smart:2015:EAAI Genetic programming and frequent itemset mining to identify feature selection patterns of iEEG and fMRI epilepsy data
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vuw-CS-TR-03-13 Applying Online Gradient Descent Search to Genetic Programming
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SmartZhang:03:ivcnz Classification Strategies for Image Classification in Genetic Programming
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vuw-CS-TR-04-7 Probability Based Genetic Programming for Multiclass Object Classification
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vuw-CS-TR-04-10 Continuously Evolving Programs in Genetic Programming Using Gradient Descent
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vuw-CS-TR-04-11 Evolving Weights in Genetic Programs Using Gradient Descent
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vuw-CS-TR-04-13 Tracking Object Positions in Real-time Video using Genetic Programming
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conf/pricai/SmartZ04 Probability Based Genetic Programming for Multiclass Object Classification
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SmartZhang:04:ivcnz Tracking Object Positions in Real-time Video using Genetic Programming
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Zhang:04:AGDSGP Applying Online Gradient Descent Search to Genetic Programming for Object Recognition
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Smart:2004:aspgp Continuously Evolving Programs in Genetic Programming using Gradient Descent
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http___www.mcs.vuw.ac.nz__mengjie_papers_will-meng-apwgp04.pdf http://www.mcs.vuw.ac.nz/~mengjie/papers/will-meng-apwgp04.pdf
vuw-CS-TR-05-1 Using Genetic Programming for Multiclass Classification by Simultaneously Solving Component Binary Classification Problems
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eurogp:SmartZ05 Using Genetic Programming for Multiclass Classification by Simultaneously Solving Component Binary Classification Problems
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http___dx.doi.org_10.1007_978-3-540-31989-4_20 http://dx.doi.org/10.1007/978-3-540-31989-4_20
http___dx.doi.org_10.1007_b107383 http://dx.doi.org/10.1007/b107383
Smart:mastersthesis Genetic Programming for Multiclass Object Classification
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eurogp07:smart Empirical Analysis of GP Tree-Fragments
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Smart:2008:cec Empirical Analysis of Schemata in Genetic Programming using Maximal Schemata and MSG
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http___dx.doi.org_10.1109_CEC.2008.4631200 http://dx.doi.org/10.1109/CEC.2008.4631200
Smetka:2016:ICCST On the application of symbolic regression and genetic programming for cryptanalysis of symmetric encryption algorithm
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IvanHomoliak.html
PetrHanacek.html
http___dx.doi.org_10.1109_CCST.2016.7815720 http://dx.doi.org/10.1109/CCST.2016.7815720
conf/icannga/SmidN13 Using Genetic Programming to Estimate Performance of Computational Intelligence Models
JakubSmid.html
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http___dx.doi.org_10.1007_978-3-642-37213-1 http://dx.doi.org/10.1007/978-3-642-37213-1
http___dx.doi.org_10.1007_978-3-642-37213-1_18 http://dx.doi.org/10.1007/978-3-642-37213-1_18
Smid:2015:CEC Co-evolutionary Genetic Programming for Dataset Similarity Induction
JakubSmid.html
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KlaraPeskova.html
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http___dx.doi.org_10.1109_CEC.2015.7257020 http://dx.doi.org/10.1109/CEC.2015.7257020
Smid:2015:ieeeSSCI Multi-Objective Genetic Programming for Dataset Similarity Induction
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Smid:thesis Computational Intelligence Methods in Metalearning
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https___dspace.cuni.cz_handle_20.500.11956_82405 https://dspace.cuni.cz/handle/20.500.11956/82405
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Smigielska:2021:GI Uniform Edit Selection for Genetic Improvement: Empirical Analysis of Mutation Operator Efficacy
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http___dx.doi.org_10.1109_GI52543.2021.00009 http://dx.doi.org/10.1109/GI52543.2021.00009
smilak:1999:FUVPPGP Finding the Ultimate Video Poker Player using Genetic Programming
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SMIRNOVA:2019:EMRAPSB Chapter 7 - EPR studies of bionanomaterials
TatyanaISmirnova.html
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http___www.sciencedirect.com_science_article_pii_B9780128140246000078 http://www.sciencedirect.com/science/article/pii/B9780128140246000078
Smit:2008:cec A Controller Architecture for the Evolution of State-Persistent Controllers: Behaviour Oriented Decision Tree (BODT)
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RobertGriffioen.html
MartijnCSchut.html
http___dx.doi.org_10.1109_CEC.2008.4631144 http://dx.doi.org/10.1109/CEC.2008.4631144
03_essa_153-163 Metabolic fingerprinting of salt-stressed tomatoes
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smith:1999:AAGPTISO An Application of Genetic Programming To Investment System Optimization
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Smith:2004:talk The use of Meta-Heuristics in Data Mining
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Smith:2015:FSE Is the Cure Worse Than the Disease? Overfitting in Automated Program Repair
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DBLP:conf/ideal/Smith04 Genetic Program Based Data Mining for Fuzzy Decision Trees
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smith:2005:SPIE Genetic-program-based data mining for hybrid decision-theoretic algorithms and theories
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http___dx.doi.org_10.1117_12.603151 http://dx.doi.org/10.1117/12.603151
1068298 Evolving fuzzy decision tree structure that adapts in real-time
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smith:2006:IDEAL Guiding Genetic Program Based Data Mining Using Fuzzy Rules
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Smith3:2007:ICAE Autonomous and cooperative robotic behavior based on fuzzy logic and genetic programming
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Smith:2007:SPIE Genetic program based data mining of fuzzy decision trees and methods of improving convergence and reducing bloat
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ThanhVuNguyen.html
http___dx.doi.org_10.1117_12.716973 http://dx.doi.org/10.1117/12.716973
Smith:2007:cec Evolutionary Data Mining of Digital Logic and the Effects of Uncertainty
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smith:2008:cec Co-Evolving Fuzzy Decision Trees and Scenarios
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http___dx.doi.org_10.1109_CEC.2008.4631227 http://dx.doi.org/10.1109/CEC.2008.4631227
MartinPSmith:1997:JIS The use of genetic programming to build Boolean queries for text retrieval through relevance feedback
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smith03 Feature Construction and Selection using Genetic Programming and a Genetic Algorithm
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http___dx.doi.org_10.1007_3-540-36599-0_21 http://dx.doi.org/10.1007/3-540-36599-0_21
Smith:PPSN:2004 Using Genetic Programming for Feature Creation with a Genetic Algorithm Feature Selector
MatthewGSmith.html
LarryBull.html
https___rdcu.be_dc0l8 https://rdcu.be/dc0l8
http___dx.doi.org_10.1007_b100601 http://dx.doi.org/10.1007/b100601
http___dx.doi.org_10.1007_978-3-540-30217-9_117 http://dx.doi.org/10.1007/978-3-540-30217-9_117
smith:2004:ECDM GAP: Constructing and Selecting Features with Evolutionary Computation
MatthewGSmith.html
LarryBull.html
http___www.springeronline.com_sgw_cda_frontpage_0_11855_5-175-22-33980376-0_00.html http://www.springeronline.com/sgw/cda/frontpage/0,11855,5-175-22-33980376-0,00.html
http___dx.doi.org_10.1007_3-540-32358-9_3 http://dx.doi.org/10.1007/3-540-32358-9_3
MatthewGSmith:2005:GPEM Genetic Programming with a Genetic Algorithm for Feature Construction and Selection
MatthewGSmith.html
LarryBull.html
http___dx.doi.org_10.1007_s10710-005-2988-7 http://dx.doi.org/10.1007/s10710-005-2988-7
1277291 Improving the human readability of features constructed by genetic programming
MatthewGSmith.html
LarryBull.html
http___gpbib.cs.ucl.ac.uk_gecco2007_docs_p1694.pdf http://gpbib.cs.ucl.ac.uk/gecco2007/docs/p1694.pdf
http___dx.doi.org_10.1145_1276958.1277291 http://dx.doi.org/10.1145/1276958.1277291
Matthew.G.Smith:thesis Using Genetic Programming for Feature Creation with a Genetic Algorithm Feature Selector
MatthewGSmith.html
http___www.thinkinglogic.com_Main_DataMining http://www.thinkinglogic.com/Main/DataMining
http___ethos.bl.uk_OrderDetails.do_did_42_uin_uk.bl.ethos.525208 http://ethos.bl.uk/OrderDetails.do?did=42&uin=uk.bl.ethos.525208
Smith:2016:CEC Adapting to Concept Drift with Genetic Programming for Classifying Streaming Data
MurraySmith.html
VictorCiesielski.html
http___dx.doi.org_10.1109_CEC.2016.7748327 http://dx.doi.org/10.1109/CEC.2016.7748327
PaulJamesSmith:thesis Probabilistic Flood Forecasting Using a Distributed Rainfall-Runoff Model
PaulJamesSmith.html
http___kyoto-u.ac.jp_Paul_Smith_PhD_Thesis_v10.pdf http://kyoto-u.ac.jp/Paul_Smith_PhD_Thesis_v10.pdf
http___hdl.handle.net_2433_143966 http://hdl.handle.net/2433/143966
PWHSmith:1998:iraf Introns and The Replication Accuracy Force
PeterWHSmith.html
PWHSmith:1998:cgediass Code Growth, Explicitly Defined Introns, and Alternative Selection Schemes
PeterWHSmith.html
KimHarries.html
http___www.soi.city.ac.uk_homes_peters_pub_Introns6.ps http://www.soi.city.ac.uk/homes/peters/pub/Introns6.ps
http___www.mitpressjournals.org_doi_pdfplus_10.1162_evco.1998.6.4.339 http://www.mitpressjournals.org/doi/pdfplus/10.1162/evco.1998.6.4.339
http___dx.doi.org_10.1162_evco.1998.6.4.339 http://dx.doi.org/10.1162/evco.1998.6.4.339
PWHSmith:2000:ccgGP Controlling Code Growth in Genetic Programming
PeterWHSmith.html
http___www.soi.city.ac.uk_homes_peters_pub_Leicester.ps http://www.soi.city.ac.uk/homes/peters/pub/Leicester.ps
http___www.springer-ny.com_detail.tpl_ISBN_3790812579 http://www.springer-ny.com/detail.tpl?ISBN=3790812579
http___citeseer.ist.psu.edu_475882.html http://citeseer.ist.psu.edu/475882.html
Smith:2002:DMaHA Genetic Programming as a Data-Mining Tool
PeterWHSmith.html
http___www.igi-global.com_chapter_genetic-programming-data-mining-tool_7588 http://www.igi-global.com/chapter/genetic-programming-data-mining-tool/7588
http___dx.doi.org_10.4018_978-1-930708-25-9.ch008 http://dx.doi.org/10.4018/978-1-930708-25-9.ch008
RichSmith:2006:thesis Genetic Programming and Domain Knowledge in Hierarchical Multi-Classification
RichSmith.html
http___www.hwyl.org_research_papers_thesis.ps http://www.hwyl.org/research/papers/thesis.ps
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_RichSmith_2006_thesis.ps.gz http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/RichSmith_2006_thesis.ps.gz
smith:1997:rGP2pevltmdv Microprocessor Design Verification by Two-Phase Evolution of Variable Length Tests
JamesSmith.html
MBartley.html
TerenceCFogarty.html
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http___dx.doi.org_10.1109_ICEC.1997.592354 http://dx.doi.org/10.1109/ICEC.1997.592354
Smith:2016:GECCO Discovering Rubik's Cube Subgroups using Coevolutionary GP -- A Five Twist Experiment
RobertJSmith.html
StephenKelly.html
MalcolmHeywood.html
http___dx.doi.org_10.1145_2908812.2908887 http://dx.doi.org/10.1145/2908812.2908887
Smith:2016:GECCOcomp Initiating a Moving Target Network Defense with a Real-time Neuro-evolutionary Detector
RobertJSmith.html
NurZincir-Heywood.html
MalcolmHeywood.html
JohnTJacobs.html
http___dx.doi.org_10.1145_2908961.2931681 http://dx.doi.org/10.1145/2908961.2931681
Smith:2017:GECCO Coevolving Deep Hierarchies of Programs to Solve Complex Tasks
RobertJSmith.html
MalcolmHeywood.html
http___doi.acm.org_10.1145_3071178.3071316 http://doi.acm.org/10.1145/3071178.3071316
http___dx.doi.org_10.1145_3071178.3071316 http://dx.doi.org/10.1145/3071178.3071316
Smith:2018:EuroGP Scaling Tangled Program Graphs to Visual Reinforcement Learning in ViZDoom
RobertJSmith.html
MalcolmHeywood.html
http___dx.doi.org_10.1007_978-3-319-77553-1_9 http://dx.doi.org/10.1007/978-3-319-77553-1_9
Smith:2019:EuroGP A Model of External Memory for Navigation in Partially Observative Visual Reinforcement Learning Tasks
RobertJSmith.html
MalcolmHeywood.html
https___www.springer.com_us_book_9783030166694 https://www.springer.com/us/book/9783030166694
http___dx.doi.org_10.1007_978-3-030-16670-0_11 http://dx.doi.org/10.1007/978-3-030-16670-0_11
Heywood:2019:GPTP Evolving a Dota 2 Hero Bot with a Probabilistic Shared Memory Model
RobertJSmith.html
MalcolmHeywood.html
http___dx.doi.org_10.1007_978-3-030-39958-0_17 http://dx.doi.org/10.1007/978-3-030-39958-0_17
Smith:2019:GECCO Evolving dota 2 shadow fiend bots using genetic programming with external memory
RobertJSmith.html
MalcolmHeywood.html
http___dx.doi.org_10.1145_3321707.3321866 http://dx.doi.org/10.1145/3321707.3321866
Smith:2021:CEC Evolving Simple Solutions to the CIFAR-10 Benchmark using Tangled Program Graphs
RobertJSmith.html
RyanAmaral.html
MalcolmHeywood.html
http___dx.doi.org_10.1109_CEC45853.2021.9504998 http://dx.doi.org/10.1109/CEC45853.2021.9504998
Smith:2017:FUZZ-IEEE Genetic programming based Choquet integral for multi-source fusion
RyanESmith.html
DerekTAnderson.html
AlinaZare.html
JohnEBall.html
BrandonSmock.html
JoshRFairley.html
StacyEHowington.html
http___dx.doi.org_10.1109_FUZZ-IEEE.2017.8015481 http://dx.doi.org/10.1109/FUZZ-IEEE.2017.8015481
smith:evows05 An Implicit Context Representation for Evolving Image Processing Filters
StephenLSmith.html
StefanLeggett.html
AndrewMTyrrell.html
http___dx.doi.org_10.1007_b106856 http://dx.doi.org/10.1007/b106856
Smith:2007:GPEMintro Introduction to the special issue on medical applications of Genetic and Evolutionary Computation
StephenLSmith.html
StefanoCagnoni.html
http___dx.doi.org_10.1007_s10710-007-9037-7 http://dx.doi.org/10.1007/s10710-007-9037-7
Smith:2007:GPEM Diagnosis of Parkinson's disease using evolutionary algorithms
StephenLSmith.html
PatrickGaughan.html
DavidMHalliday.html
QuanJu.html
NabilMAly.html
JeremyRPlayfer.html
http___dx.doi.org_10.1007_s10710-007-9043-9 http://dx.doi.org/10.1007/s10710-007-9043-9
Smith200834 An immune network inspired evolutionary algorithm for the diagnosis of Parkinson's disease
StephenLSmith.html
JonTimmis.html
http___www.sciencedirect.com_science_article_B6T2K-4ST3YNH-5_2_5f4eadc8fcbfdbfc78c2004eaf768812 http://www.sciencedirect.com/science/article/B6T2K-4ST3YNH-5/2/5f4eadc8fcbfdbfc78c2004eaf768812
http___dx.doi.org_10.1016_j.biosystems.2008.05.024 http://dx.doi.org/10.1016/j.biosystems.2008.05.024
Smith2:2009:cec Implicit Context Representation Cartesian Genetic Programming for the Assessment of Visuo-Spatial Ability
StephenLSmith.html
MichaelALones.html
http___dx.doi.org_10.1109_CEC.2009.4983065 http://dx.doi.org/10.1109/CEC.2009.4983065
Smith:2010:ieee-fuzz The Yorkshire Enterprise Fellowship: A framework for successful commercialization of computational intelligence research
StephenLSmith.html
http___dx.doi.org_10.1109_FUZZY.2010.5584897 http://dx.doi.org/10.1109/FUZZY.2010.5584897
Smith:2011:CGP Medical Applications of Cartesian Genetic Programming
StephenLSmith.html
JamesAlfredWalker.html
JulianFMiller.html
http___www.springer.com_computer_theoretical_computer_science_book_978-3-642-17309-7 http://www.springer.com/computer/theoretical+computer+science/book/978-3-642-17309-7
http___dx.doi.org_10.1007_978-3-642-17310-3_11 http://dx.doi.org/10.1007/978-3-642-17310-3_11
Smith:2012:ieeeCIM Cartesian Genetic Programming and its Application to Medical Diagnosis
StephenLSmith.html
http___dx.doi.org_10.1109_MCI.2011.942583 http://dx.doi.org/10.1109/MCI.2011.942583
Smith:2015:GECCOcomp Medical Applications of Evolutionary Computation
StephenLSmith.html
http___doi.acm.org_10.1145_2739482.2756567 http://doi.acm.org/10.1145/2739482.2756567
http___dx.doi.org_10.1145_2739482.2756567 http://dx.doi.org/10.1145/2739482.2756567
smith2015computational Computational approaches for understanding the diagnosis and treatment of Parkinson's disease
StephenLSmith.html
MichaelALones.html
MatthewBedder.html
JaneEAlty.html
JeremyCosgrove.html
RichardJMaguire.html
MaryElizabethPownall.html
DianaIvanoiu.html
CamilleLyle.html
AmyCording.html
ChristopherJHElliott.html
http___dx.doi.org_10.1049_iet-syb.2015.0030 http://dx.doi.org/10.1049/iet-syb.2015.0030
Smith:2017:miller Medical Applications of Cartesian Genetic Programming
StephenLSmith.html
MichaelALones.html
http___dx.doi.org_10.1007_978-3-319-67997-6_12 http://dx.doi.org/10.1007/978-3-319-67997-6_12
Smith95-IJCAI A Genetic Algorithm for the Induction of Natural Language Grammars
TonyCSmith.html
IanHWitten.html
http___www.cs.waikato.ac.nz__ml_publications_1995_Smith95-IJCAI.ps.gz http://www.cs.waikato.ac.nz/~ml/publications/1995/Smith95-IJCAI.ps.gz
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.51.4685 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.51.4685
DBLP:conf/icmc/SmithW09 Augmenting Computer Music with Just-In-Time Compilation
WesleyHokeSmith.html
GrahamWakefield.html
https___www.mat.ucsb.edu_Publications_smith_wakefield_ICMC2009.pdf https://www.mat.ucsb.edu/Publications/smith_wakefield_ICMC2009.pdf
http___hdl.handle.net_2027_spo.bbp2372.2009.100 http://hdl.handle.net/2027/spo.bbp2372.2009.100
https___dblp.org_rec_conf_icmc_SmithW09.bib https://dblp.org/rec/conf/icmc/SmithW09.bib
smits:2004:GPTP Pareto-Front Exploitation in Symbolic Regression
GuidoFSmits.html
MarkKotanchek.html
http___dx.doi.org_10.1007_0-387-23254-0_17 http://dx.doi.org/10.1007/0-387-23254-0_17
smits:2005:GPTP Variable Selection in Industrial Datasets using Pareto Genetic Programming
GuidoFSmits.html
ArthurKKordon.html
Ekaterina_Katya_Vladislavleva.html
ElsaJordaan.html
MarkKotanchek.html
http___dx.doi.org_10.1007_0-387-28111-8_6 http://dx.doi.org/10.1007/0-387-28111-8_6
Smits:OPG:cec2006 Ordinal Pareto Genetic Programming
GuidoFSmits.html
Ekaterina_Katya_Vladislavleva.html
http___ieeexplore.ieee.org_servlet_opac_punumber_11108 http://ieeexplore.ieee.org/servlet/opac?punumber=11108
http___dx.doi.org_10.1109_CEC.2006.1688703 http://dx.doi.org/10.1109/CEC.2006.1688703
Smits:2010:GPTP Scalable Symbolic Regression by Continuous Evolution with Very Small Populations
GuidoFSmits.html
Ekaterina_Katya_Vladislavleva.html
MarkKotanchek.html
http___www.springer.com_computer_ai_book_978-1-4419-7746-5 http://www.springer.com/computer/ai/book/978-1-4419-7746-5
http___dx.doi.org_10.1007_978-1-4419-7747-2_9 http://dx.doi.org/10.1007/978-1-4419-7747-2_9
smolka:2012:EuroGP Evolutionary Design of Message Efficient Secrecy Amplification Protocols
TobiasSmolka.html
PetrSvenda.html
LukasSekanina.html
Vashek_Vaclav_Matyas.html
http___dx.doi.org_10.1007_978-3-642-29139-5_17 http://dx.doi.org/10.1007/978-3-642-29139-5_17
Smonou:2013:CEC Metaheuristics Application on a Financial Forecasting Problem
DafniSmonou.html
MichaelKampouridis.html
EdwardPKTsang.html
http___dx.doi.org_10.1109_CEC.2013.6557679 http://dx.doi.org/10.1109/CEC.2013.6557679
Smorodkina:2007:cec Toward Automating EA Configuration: The Parent Selection Stage
EkaterinaHoldener.html
DanielRTauritz.html
http___dx.doi.org_10.1109_CEC.2007.4424455 http://dx.doi.org/10.1109/CEC.2007.4424455
Snove:thesis Hardware-accelerated analysis of non-protein-coding RNAs
OlaSnoveJr.html
http___www.idi.ntnu.no_grupper_su_publ_phd_drphil-snove-rev-10jun06.pdf http://www.idi.ntnu.no/grupper/su/publ/phd/drphil-snove-rev-10jun06.pdf
http___hdl.handle.net_11250_249826 http://hdl.handle.net/11250/249826
Sobania:2019:GECCO Teaching GP to program like a human software developer: using perplexity pressure to guide program synthesis approaches
DominikSobania.html
FranzRothlauf.html
http___dx.doi.org_10.1145_3321707.3321738 http://dx.doi.org/10.1145/3321707.3321738
Sobania:2020:EuroGP Challenges of Program Synthesis with Grammatical Evolution
DominikSobania.html
FranzRothlauf.html
http___dx.doi.org_10.1007_978-3-030-44094-7_14 http://dx.doi.org/10.1007/978-3-030-44094-7_14
Sobania:2021:EuroGP On the Generalizability of Programs Synthesized by Grammar-Guided Genetic Programming
DominikSobania.html
http___dx.doi.org_10.1007_978-3-030-72812-0_9 http://dx.doi.org/10.1007/978-3-030-72812-0_9
Sobania:2021:GECCO A Generalizability Measure for Program Synthesis with Genetic Programming
DominikSobania.html
FranzRothlauf.html
http___dx.doi.org_10.1145_3449639.3459305 http://dx.doi.org/10.1145/3449639.3459305
DBLP:journals/corr/abs-2111-07875 Choose Your Programming Copilot: A Comparison of the Program Synthesis Performance of GitHub Copilot and Genetic Programming
DominikSobania.html
MartinBriesch.html
FranzRothlauf.html
https___arxiv.org_abs_2111.07875 https://arxiv.org/abs/2111.07875
https___dblp.org_rec_journals_corr_abs-2111-07875.bib https://dblp.org/rec/journals/corr/abs-2111-07875.bib
Sobania:2022:EuroGP Program Synthesis with Genetic Programming: The Influence of Batch Sizes
DominikSobania.html
FranzRothlauf.html
http___dx.doi.org_10.1007_978-3-031-02056-8_8 http://dx.doi.org/10.1007/978-3-031-02056-8_8
Sobania:2022:GPEM Genetic programming for iterative numerical methods
DominikSobania.html
JonasSchmitt.html
HaraldKoestler.html
FranzRothlauf.html
https___rdcu.be_cCB5J https://rdcu.be/cCB5J
http___dx.doi.org_10.1007_s10710-021-09425-5 http://dx.doi.org/10.1007/s10710-021-09425-5
Sobania:ieeeTEC A Comprehensive Survey on Program Synthesis with Evolutionary Algorithms
DominikSobania.html
DirkSchweim.html
FranzRothlauf.html
http___dx.doi.org_10.1109_TEVC.2022.3162324 http://dx.doi.org/10.1109/TEVC.2022.3162324
sobania:2022:GECCO Choose Your Programming Copilot: A Comparison of the Program Synthesis Performance of GitHub Copilot and Genetic Programming
DominikSobania.html
MartinBriesch.html
FranzRothlauf.html
http___dx.doi.org_10.1145_3512290.3528700 http://dx.doi.org/10.1145/3512290.3528700
sobania:2022:GECCOhop Program Synthesis with Evolutionary Algorithms: Status Quo
DominikSobania.html
DirkSchweim.html
FranzRothlauf.html
http___dx.doi.org_10.1145_3520304.3534074 http://dx.doi.org/10.1145/3520304.3534074
sobania:2022:GECCOcomp Analyzing Optimized Constants in Genetic Programming on a Real-World Regression Problem
DominikSobania.html
MartinBriesch.html
DavidWittenberg.html
FranzRothlauf.html
http___dx.doi.org_10.1145_3520304.3528896 http://dx.doi.org/10.1145/3520304.3528896
Sobania:2023:EuroGP MTGP: Combining Metamorphic Testing and Genetic Programming
DominikSobania.html
MartinBriesch.html
PhilippRoechner.html
FranzRothlauf.html
https___rdcu.be_c8U3M https://rdcu.be/c8U3M
http___dx.doi.org_10.1007_978-3-031-29573-7_21 http://dx.doi.org/10.1007/978-3-031-29573-7_21
Sobester:2004:AIAA Evolving Intervening Variables for Response Surface Approximations
AndrasSobester.html
PrasanthBNair.html
AndyJKeane.html
http___www.soton.ac.uk__as7_publ_mao04.pdf http://www.soton.ac.uk/~as7/publ/mao04.pdf
Sobester:2008:TEC Genetic Programming Approaches for Solving Elliptic Partial Differential Equations
AndrasSobester.html
PrasanthBNair.html
AndyJKeane.html
http___www.soton.ac.uk__as7_publ_IEEE.pdf http://www.soton.ac.uk/~as7/publ/IEEE.pdf
http___dx.doi.org_10.1109_TEVC.2007.908467 http://dx.doi.org/10.1109/TEVC.2007.908467
http___results.ref.ac.uk_Submissions_Output_3377591 http://results.ref.ac.uk/Submissions/Output/3377591
Soderlund:2016:PPSN Parallel Hierarchical Evolution of String Library Functions
JacobNilsZwiSoderlund.html
DarwinVickers.html
AlanBlair.html
https___www.cse.unsw.edu.au__blair_pubs_2016SoderlundVickersBlairPPSN.pdf https://www.cse.unsw.edu.au/~blair/pubs/2016SoderlundVickersBlairPPSN.pdf
http___dx.doi.org_10.1007_978-3-319-45823-6_26 http://dx.doi.org/10.1007/978-3-319-45823-6_26
https___dblp.org_rec_conf_ppsn_SoderlundVB16.bib https://dblp.org/rec/conf/ppsn/SoderlundVB16.bib
Soderlund:2018:CEC Adversarial Image Generation Using Evolution and Deep Learning
JacobNilsZwiSoderlund.html
AlanBlair.html
http___dx.doi.org_10.1109_CEC.2018.8477754 http://dx.doi.org/10.1109/CEC.2018.8477754
soh:2000:JCCE Genetic Programming-Based Approach for Structural Optimization
CheeKiongSoh.html
YaowenYang.html
http___www.wmich.edu_jcce_v14n1ab5.htm http://www.wmich.edu/jcce/v14n1ab5.htm
http___dx.doi.org_10.1061__ASCE_0887-3801_2000_14_1_31_ http://dx.doi.org/10.1061/(ASCE)0887-3801(2000)14:1(31)
Sohani:2016:ATE A novel approach using predictive models for performance analysis of desiccant enhanced evaporative cooling systems
AliSohani.html
HoseynSayyaadi.html
HamidrezaHasaniBalyani.html
SinaHoseinpoori.html
http___dx.doi.org_10.1016_j.applthermaleng.2016.06.121 http://dx.doi.org/10.1016/j.applthermaleng.2016.06.121
http___www.sciencedirect.com_science_article_pii_S1359431116310353 http://www.sciencedirect.com/science/article/pii/S1359431116310353
Sohani:2017:ATE A comprehensive performance investigation of cellulose evaporative cooling pad systems using predictive approaches
AliSohani.html
MitraZabihigivi.html
MohammadHosseinMoradi.html
HoseynSayyaadi.html
HamidrezaHasaniBalyani.html
http___dx.doi.org_10.1016_j.applthermaleng.2016.08.216 http://dx.doi.org/10.1016/j.applthermaleng.2016.08.216
http___www.sciencedirect.com_science_article_pii_S1359431116315769 http://www.sciencedirect.com/science/article/pii/S1359431116315769
SOHANI:2020:ECM Employing genetic programming to find the best correlation to predict temperature of solar photovoltaic panels
AliSohani.html
HoseynSayyaadi.html
http___dx.doi.org_10.1016_j.enconman.2020.113291 http://dx.doi.org/10.1016/j.enconman.2020.113291
http___www.sciencedirect.com_science_article_pii_S019689042030830X http://www.sciencedirect.com/science/article/pii/S019689042030830X
Sohn:2017:GECCO Toward the Automated Analysis of Complex Diseases in Genome-wide Association Studies Using Genetic Programming
AndrewSohn.html
RandalSOlson.html
JasonHMoore.html
http___doi.acm.org_10.1145_3071178.3071212 http://doi.acm.org/10.1145/3071178.3071212
http___dx.doi.org_10.1145_3071178.3071212 http://dx.doi.org/10.1145/3071178.3071212
https___arxiv.org_abs_1702.01780 https://arxiv.org/abs/1702.01780
Sohn:2019:GECCO Why Train-and-Select When You Can Use Them All?: Ensemble Model for Fault Localisation
JeongjuSohn.html
ShinYoo.html
http___dx.doi.org_10.1145_3321707.3321873 http://dx.doi.org/10.1145/3321707.3321873
Sohn:TSE Empirical Evaluation of Fault Localisation Using Code and Change Metrics
JeongjuSohn.html
ShinYoo.html
http___dx.doi.org_10.1109_TSE.2019.2930977 http://dx.doi.org/10.1109/TSE.2019.2930977
Sohn:thesis Synergetic Interaction Between Fault Localization and Defect Prediction
JeongjuSohn.html
https___coinse.github.io_coinse_2021_04_09_Jeongju-Sohn-PhD-defense.html https://coinse.github.io/coinse/2021/04/09/Jeongju-Sohn-PhD-defense.html
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SOHRABPOUR:2021:TFSC Export sales forecasting using artificial intelligence
VahidSohrabpour.html
PejvakOghazi.html
RezaToorajipour.html
AliNazarpour.html
http___dx.doi.org_10.1016_j.techfore.2020.120480 http://dx.doi.org/10.1016/j.techfore.2020.120480
https___www.sciencedirect.com_science_article_pii_S0040162520313068 https://www.sciencedirect.com/science/article/pii/S0040162520313068
Sokolov:2007:GPEM A note on the variance of rank-based selection strategies for genetic algorithms and genetic programming
ArtemSokolov.html
LDarrellWhitley.html
AndredaMottaSallesBarreto.html
http___dx.doi.org_10.1007_s10710-007-9030-1 http://dx.doi.org/10.1007/s10710-007-9030-1
sokolova:2022:Ste Data-driven models for predicting microbial water quality in the drinking water source using E. coli monitoring and hydrometeorological data
EkaterinaSokolova.html
OscarIvarsson.html
AnnLilliestrom.html
NoraKSpeicher.html
HenrikRydberg.html
MiaBondelind.html
http___dx.doi.org_10.1016_j.scitotenv.2021.149798 http://dx.doi.org/10.1016/j.scitotenv.2021.149798
1277307 Towards an optimal restart strategy for genetic programming
MichaelSolano.html
IstvanJonyer.html
http___gpbib.cs.ucl.ac.uk_gecco2007_docs_p1757.pdf http://gpbib.cs.ucl.ac.uk/gecco2007/docs/p1757.pdf
http___dx.doi.org_10.1145_1276958.1277307 http://dx.doi.org/10.1145/1276958.1277307
SOLEIMANI:2018:Energy Characterizing CO2 capture with aqueous solutions of LysK and the mixture of MAPA + DEEA using soft computing methods
RezaSoleimani.html
DanialAbooali.html
NavidAlaviShoushtari.html
http___dx.doi.org_10.1016_j.energy.2018.09.061 http://dx.doi.org/10.1016/j.energy.2018.09.061
http___www.sciencedirect.com_science_article_pii_S0360544218318255 http://www.sciencedirect.com/science/article/pii/S0360544218318255
SOLEIMANI:2018:Measurement New prediction models for unconfined compressive strength of geopolymer stabilized soil using multi-gen genetic programming
SepehrSoleimani.html
ShabnamRajaei.html
PengchengJiao.html
ArashSabz.html
SinaSoheilinia.html
http___dx.doi.org_10.1016_j.measurement.2017.08.043 http://dx.doi.org/10.1016/j.measurement.2017.08.043
http___www.sciencedirect.com_science_article_pii_S0263224117305511 http://www.sciencedirect.com/science/article/pii/S0263224117305511
SOLHMIRZAEI:2020:ES Machine learning framework for predicting failure mode and shear capacity of ultra high performance concrete beams
RoyaSolhmirzaei.html
HadiSalehi.html
VenkateshKodur.html
MZNaser.html
http___dx.doi.org_10.1016_j.engstruct.2020.111221 http://dx.doi.org/10.1016/j.engstruct.2020.111221
https___www.sciencedirect.com_science_article_pii_S0141029620338220 https://www.sciencedirect.com/science/article/pii/S0141029620338220
Solomatine:2008:JH Data-driven modelling: some past experiences and new approaches
DimitriPSolomatine.html
AviOstfeld.html
http___www.iwaponline.com_jh_010_0003_0100003.pdf http://www.iwaponline.com/jh/010/0003/0100003.pdf
http___dx.doi.org_10.2166_hydro.2008.015 http://dx.doi.org/10.2166/hydro.2008.015
solomonoff:2003:preNIPS Progress in Incremental Machine Learning
RayJSolomonoff.html
http___world.std.com__rjs_nips02.ps http://world.std.com/~rjs/nips02.ps
2011Soltan_ZadehYPhD Improved Rule-based Document Representation and Classification using Genetic Programming
YasamanSoltan-Zadeh.html
https___repository.royalholloway.ac.uk_items_479a1773-779b-8b24-b334-7ed485311abe_8_2011Soltan_ZadehYPhD.pdf https://repository.royalholloway.ac.uk/items/479a1773-779b-8b24-b334-7ed485311abe/8/2011Soltan_ZadehYPhD.pdf
https___repository.royalholloway.ac.uk_items_479a1773-779b-8b24-b334-7ed485311abe_8_ https://repository.royalholloway.ac.uk/items/479a1773-779b-8b24-b334-7ed485311abe/8/
http___ethos.bl.uk_OrderDetails.do_did_44_uin_uk.bl.ethos.549592 http://ethos.bl.uk/OrderDetails.do?did=44&uin=uk.bl.ethos.549592
Soltani:2016:Neurocomputing Designing efficient discriminant functions for multi-category classification using evolutionary methods
AbolfazlSoltani.html
SeyedMohammadAhadi.html
NedaFaraji.html
SaeedSharifian.html
http___dx.doi.org_10.1016_j.neucom.2015.08.093 http://dx.doi.org/10.1016/j.neucom.2015.08.093
http___www.sciencedirect.com_science_article_pii_S0925231215013946 http://www.sciencedirect.com/science/article/pii/S0925231215013946
Soltani:2015:Measurement Stiffness performance of polyethylene terephthalate modified asphalt mixtures estimation using support vector machine-firefly algorithm
MehrtashSoltani.html
TaherBaghaeeMoghaddam.html
MohamedRehanKarim.html
ShahaboddinShamshirband.html
SudheerCh.html
http___dx.doi.org_10.1016_j.measurement.2014.11.022 http://dx.doi.org/10.1016/j.measurement.2014.11.022
http___www.sciencedirect.com_science_article_pii_S0263224114005831 http://www.sciencedirect.com/science/article/pii/S0263224114005831
Soltanian:2013:ICEE Artificial neural networks generation using grammatical evolution
KhabatSoltanian.html
FardinAkhlaghianTab.html
FardinAhmadizar.html
IoannisGTsoulos.html
http___dx.doi.org_10.1109_IranianCEE.2013.6599788 http://dx.doi.org/10.1109/IranianCEE.2013.6599788
Soltanian:2022:EC Modular Grammatical Evolution for the Generation of Artificial Neural Networks
KhabatSoltanian.html
AliEbnenasir.html
MohsenAfsharchi.html
http___dx.doi.org_10.1162_evco_a_00302 http://dx.doi.org/10.1162/evco_a_00302
soltanian:2022:GECCOhop Modular Grammatical Evolution for the Generation of Artificial Neural Networks (Hot-off-the-Press Track at GECCO 2022)
KhabatSoltanian.html
AliEbnenasir.html
MohsenAfsharchi.html
http___dx.doi.org_10.1145_3520304.3534072 http://dx.doi.org/10.1145/3520304.3534072
soltoggio:aco:gecco2004 A Comparison of Genetic Programming and Genetic Algorithms in the Design of a Robust, Saturated Control System
AndreaSoltoggio.html
http___dx.doi.org_10.1007_b98645 http://dx.doi.org/10.1007/b98645
soltoggio:2004:gsw:asol A Case Study of GP and GAs in the Design of a Control System
AndreaSoltoggio.html
http___gpbib.cs.ucl.ac.uk_gecco2004_WGSW010.pdf http://gpbib.cs.ucl.ac.uk/gecco2004/WGSW010.pdf
somorjai:1995:ccd Computerized Consensus Diagnosis: A Classification Strategy for the Robust Analysis of MR spectra. I. Application to 1H Spectra of Thyroid Neoplasms
RayLSomorjai.html
AlexanderENikulin.html
NicPizzi.html
DickJackson.html
GordonScarth.html
BrionDolenko.html
HeatherGordon.html
PeterRussell.html
CynthiaLLean.html
LeighDelbridge.html
CarolynEMountford.html
IanCPSmith.html
http___www.interscience.wiley.com_jpages_0740-3194_ http://www.interscience.wiley.com/jpages/0740-3194/
http___www.ncbi.nlm.nih.gov_entrez_query.fcgi_cmd_Retrieve_db_PubMed_list_uids_7707918_dopt_Abstract http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=7707918&dopt=Abstract
http___dx.doi.org_10.1002_mrm.1910330217 http://dx.doi.org/10.1002/mrm.1910330217
son:2022:Energies Development of Bus and Line Control Method for Short-Circuit Current Reduction Using Genetic Programming
DabinSon.html
SangwookHan.html
https___www.mdpi.com_1996-1073_15_3_678 https://www.mdpi.com/1996-1073/15/3/678
http___dx.doi.org_10.3390_en15030678 http://dx.doi.org/10.3390/en15030678
Sonebi:2009:CBM Genetic programming based formulation for fresh and hardened properties of self-compacting concrete containing pulverised fuel ash
MohammedSonebi.html
AbdulkadirCevik.html
http___dx.doi.org_10.1016_j.conbuildmat.2009.02.012 http://dx.doi.org/10.1016/j.conbuildmat.2009.02.012
http___www.sciencedirect.com_science_article_B6V2G-4VTVJNV-1_2_bfe13c7503db42ea94f6d2d58903c660 http://www.sciencedirect.com/science/article/B6V2G-4VTVJNV-1/2/bfe13c7503db42ea94f6d2d58903c660
http___results.ref.ac.uk_Submissions_Output_3204773 http://results.ref.ac.uk/Submissions/Output/3204773
Song:2001:TGP Towards Genetic Programming for Texture Classification
AndySong.html
ThomasLoveard.html
VictorCiesielski.html
http___dx.doi.org_10.1007_3-540-45656-2_40 http://dx.doi.org/10.1007/3-540-45656-2_40
song:2002:tcgbgp Texture Classifiers Generated by Genetic Programming
AndySong.html
VictorCiesielski.html
HughWilliams.html
http___dx.doi.org_10.1109_CEC.2002.1006241 http://dx.doi.org/10.1109/CEC.2002.1006241
song:2003:ftsugp Fast texture segmentation using genetic programming
AndySong.html
VictorCiesielski.html
http___goanna.cs.rmit.edu.au__vc_papers_cec2003-song.pdf http://goanna.cs.rmit.edu.au/~vc/papers/cec2003-song.pdf
http___dx.doi.org_10.1109_CEC.2003.1299935 http://dx.doi.org/10.1109/CEC.2003.1299935
song:2004:tabgp Texture Analysis by Genetic Programming
AndySong.html
VictorCiesielski.html
http___goanna.cs.rmit.edu.au__vc_papers_cec04-song.pdf http://goanna.cs.rmit.edu.au/~vc/papers/cec04-song.pdf
http___dx.doi.org_10.1109_CEC.2004.1331154 http://dx.doi.org/10.1109/CEC.2004.1331154
AndySong:thesis Texture Classification: A Genetic Programming Approach
AndySong.html
http___goanna.cs.rmit.edu.au__asong_thesis.pdf http://goanna.cs.rmit.edu.au/~asong/thesis.pdf
Song:2008:cec Fast Video Analysis by Genetic Programming
AndySong.html
http___dx.doi.org_10.1109_CEC.2008.4631236 http://dx.doi.org/10.1109/CEC.2008.4631236
Song:2008:gecco Robust method of detecting moving objects in videos evolved by genetic programming
AndySong.html
DannyFang.html
http___gpbib.cs.ucl.ac.uk_gecco2008_docs_p1649.pdf http://gpbib.cs.ucl.ac.uk/gecco2008/docs/p1649.pdf
http___dx.doi.org_10.1145_1389095.1389405 http://dx.doi.org/10.1145/1389095.1389405
Song:2008:EC Texture Segmentation by Genetic Programming
AndySong.html
VictorCiesielski.html
http___dx.doi.org_10.1162_evco.2008.16.4.461 http://dx.doi.org/10.1162/evco.2008.16.4.461
DBLP:conf/gecco/SongCZ09 Bloat control in genetic programming by evaluating contribution of nodes
AndySong.html
DunhaiChen.html
MengjieZhang.html
http___dx.doi.org_10.1145_1569901.1570221 http://dx.doi.org/10.1145/1569901.1570221
Song:2010:cec Contribution based bloat control in Genetic Programming
AndySong.html
DunhaiChen.html
MengjieZhang.html
http___dx.doi.org_10.1109_CEC.2010.5586372 http://dx.doi.org/10.1109/CEC.2010.5586372
Song:2010:cec2 Study of GP representations for motion detection with unstable background
AndySong.html
BrianPinto.html
http___dx.doi.org_10.1109_CEC.2010.5586334 http://dx.doi.org/10.1109/CEC.2010.5586334
Song:2011:GECCOcomp Evolving automatic frame splitters
AndySong.html
FengXie.html
http___dx.doi.org_10.1145_2001858.2001983 http://dx.doi.org/10.1145/2001858.2001983
Song:2012:CS Genetic programming for detecting target motions
AndySong.html
MengjieZhang.html
http___dx.doi.org_10.1080_09540091.2012.744873 http://dx.doi.org/10.1080/09540091.2012.744873
Song:2013:IEEEcim Understanding of GP-Evolved Motion Detectors
AndySong.html
QiaoShi.html
WeiYin.html
http___dx.doi.org_10.1109_MCI.2012.2228594 http://dx.doi.org/10.1109/MCI.2012.2228594
Song:2016:SC Learning patterns of states from multi-channel time series using genetic programming
AndySong.html
FengXie.html
VictorCiesielski.html
http___dx.doi.org_10.1007_s00500-016-2127-9 http://dx.doi.org/10.1007/s00500-016-2127-9
song:2003:gecco A Linear Genetic Programming Approach to Intrusion Detection
DongSong.html
MalcolmHeywood.html
NurZincir-Heywood.html
http___users.cs.dal.ca__mheywood_X-files_Publications_27242325.pdf http://users.cs.dal.ca/~mheywood/X-files/Publications/27242325.pdf
http___dx.doi.org_10.1007_3-540-45110-2_125 http://dx.doi.org/10.1007/3-540-45110-2_125
song:2004:msa:dson On the Efficient Mining of Network Audit Data using Genetic Programming
DongSong.html
RobertCurry.html
MalcolmHeywood.html
NurZincir-Heywood.html
http___gpbib.cs.ucl.ac.uk_gecco2004_WMSA013.pdf http://gpbib.cs.ucl.ac.uk/gecco2004/WMSA013.pdf
song:2005:TEC Training genetic programming on half a million patterns: an example from anomaly detection
DongSong.html
MalcolmHeywood.html
NurZincir-Heywood.html
http___dx.doi.org_10.1109_TEVC.2004.841683 http://dx.doi.org/10.1109/TEVC.2004.841683
SONG:2021:SEC A genetic programming hyper-heuristic for the distributed assembly permutation flow-shop scheduling problem with sequence dependent setup times
Hong-BoSong.html
JianLin.html
http___dx.doi.org_10.1016_j.swevo.2020.100807 http://dx.doi.org/10.1016/j.swevo.2020.100807
https___www.sciencedirect.com_science_article_pii_S2210650220304600 https://www.sciencedirect.com/science/article/pii/S2210650220304600
SONG:2018:IT Intelligent diagnosis method for machinery by sequential auto-reorganization of histogram
LiuyangSong.html
HuaqingWang.html
PengChen.html
http___dx.doi.org_10.1016_j.isatra.2018.11.016 http://dx.doi.org/10.1016/j.isatra.2018.11.016
http___www.sciencedirect.com_science_article_pii_S001905781830452X http://www.sciencedirect.com/science/article/pii/S001905781830452X
Song:2020:IJCNN Effective Automated Feature Derivation via Reinforcement Learning for Microcredit Default Prediction
MengnanSong.html
JiasongWang.html
TongtongZhang.html
GuoguangZhang.html
RuijunZhang.html
SuisuiSu.html
http___dx.doi.org_10.1109_IJCNN48605.2020.9207410 http://dx.doi.org/10.1109/IJCNN48605.2020.9207410
DBLP:conf/kbse/SongXZLG22 Evolving Ranking-Based Failure Proximities for Better Clustering in Fault Isolation
YiSong.html
XiaoYuanXie.html
XihaoZhang.html
QuanmingLiu.html
RuizhiGao.html
https___dblp.org_rec_conf_kbse_SongXZLG22.bib https://dblp.org/rec/conf/kbse/SongXZLG22.bib
https___human-competitive.org_sites_default_files_humies_submission.txt https://human-competitive.org/sites/default/files/humies_submission.txt
https___human-competitive.org_sites_default_files_evolvingranking-basedfailureproximitiesforbetterclusteringinfaultisolation.pdf https://human-competitive.org/sites/default/files/evolvingranking-basedfailureproximitiesforbetterclusteringinfaultisolation.pdf
http___dx.doi.org_10.1145_3551349.3556922 http://dx.doi.org/10.1145/3551349.3556922
Soni:2017:RTEICT Inventory forecasting model using genetic programming and Holt-Winter's exponential smoothing method
RSSoni.html
DSrikanth.html
http___dx.doi.org_10.1109_RTEICT.2017.8256967 http://dx.doi.org/10.1109/RTEICT.2017.8256967
SonolikarPatilMankarTambeKulkarni+2017 Genetic Programming based Drag Model with Improved Prediction Accuracy for Fluidization Systems
RupaliRamSonolikar.html
MahendraPPatil.html
RajuBMankar.html
SanjeevSTambe.html
BhaskarDKulkarni.html
https___research.mitwpu.edu.in_publication_genetic-programming-based-drag-model-with https://research.mitwpu.edu.in/publication/genetic-programming-based-drag-model-with
https___doi.org_10.1515_ijcre-2016-0210 https://doi.org/10.1515/ijcre-2016-0210
http___dx.doi.org_10.1515_ijcre-2016-0210 http://dx.doi.org/10.1515/ijcre-2016-0210
Sonstrod:2011:EAaCCR Evolving Accurate and Comprehensible Classification Rules
CeciliaSonstrod.html
UlfJohansson.html
RikardKonig.html
http___dx.doi.org_10.1109_CEC.2011.5949784 http://dx.doi.org/10.1109/CEC.2011.5949784
conf/ijcci/Sopov17 Genetic Programming Hyper-heuristic for the Automated Synthesis of Selection Operators in Genetic Algorithms
EvgeniiSopov.html
http___dx.doi.org_10.5220_0006497002310238 http://dx.doi.org/10.5220/0006497002310238
http___www.scitepress.org_DigitalLibrary_ProceedingsDetails.aspx_ID_cC2jSedaYNw_ http://www.scitepress.org/DigitalLibrary/ProceedingsDetails.aspx?ID=cC2jSedaYNw=
DBLP:conf/icinco/SopovP19 Genetic Programming based Synthesis of Clustering Algorithm for Identifying Batches of Electronic Components
EvgeniiSopov.html
IliaPanfilov.html
https___doi.org_10.5220_0007810702020209 https://doi.org/10.5220/0007810702020209
http___dx.doi.org_10.5220_0007810702020209 http://dx.doi.org/10.5220/0007810702020209
https___dblp.org_rec_conf_icinco_SopovP19.bib https://dblp.org/rec/conf/icinco/SopovP19.bib
Sopov:2021:InfoTech Genetic Programming using Cooperative Coevolution and Problem Decomposition for Solving Large-scale Symbolic Regression Problems
EvgeniiSopov.html
MariiaSemenkina.html
http___dx.doi.org_10.1109_InfoTech52438.2021.9548435 http://dx.doi.org/10.1109/InfoTech52438.2021.9548435
Sorensen2003253 Data mining with genetic algorithms on binary trees
KennethSorensen.html
GerritKJanssens.html
http___www.sciencedirect.com_science_article_B6VCT-47TNV5W-6_2_848e0d862d33c63c83430ee41ace7db6 http://www.sciencedirect.com/science/article/B6VCT-47TNV5W-6/2/848e0d862d33c63c83430ee41ace7db6
http___dx.doi.org_10.1016_S0377-2217_02_00824-X http://dx.doi.org/10.1016/S0377-2217(02)00824-X
Sorenson:mastersthesis The Evolution of Fun: A Generic Model of Video Game Challenge for Automatic Level Design
NathanSorenson.html
http___summit.sfu.ca_system_files_iritems1_11485_etd6326_NSorenson.pdf http://summit.sfu.ca/system/files/iritems1/11485/etd6326_NSorenson.pdf
SORIC201964 Unemployment expectations: A socio-demographic analysis of the effect of news
PetarSoric.html
IvanaLolic.html
OscarClaveriaGonzalez.html
EnricMonteMoreno.html
SalvadorTorra.html
http___www.sciencedirect.com_science_article_pii_S0927537119300582 http://www.sciencedirect.com/science/article/pii/S0927537119300582
http___dx.doi.org_10.1016_j.labeco.2019.06.002 http://dx.doi.org/10.1016/j.labeco.2019.06.002
sorio_phd Machine Learning Techniques for Document Processing and Web Security
EnricoSorio.html
http___hdl.handle.net_10077_8533 http://hdl.handle.net/10077/8533
http___www.openstarts.units.it_dspace_handle_10077_8533 http://www.openstarts.units.it/dspace/handle/10077/8533
http___www.openstarts.units.it_dspace_bitstream_10077_8533_1_sorio_phd.pdf http://www.openstarts.units.it/dspace/bitstream/10077/8533/1/sorio_phd.pdf
Soros:2023:GPTP Exploiting Failure in Evolution
LisaSoros.html
Sosa-Ascencio:2012:MICAI Cooperative Coevolution of Automatically Defined Functions with Gene Expression Programming
AlejandroSosa-Ascencio.html
ManuelValenzuela-Rendon.html
HugoTerashima-Marin.html
http___dx.doi.org_10.1109_MICAI.2012.15 http://dx.doi.org/10.1109/MICAI.2012.15
Sosa-Ascencio:2013:CEC Grammar-Based Genetic Programming for Evolving Variable Ordering Heuristics
AlejandroSosa-Ascencio.html
HugoTerashima-Marin.html
ManuelValenzuela-Rendon.html
http___dx.doi.org_10.1109_CEC.2013.6557696 http://dx.doi.org/10.1109/CEC.2013.6557696
Sosa-Ascencio:2015:GPEM Grammar-based generation of variable-selection heuristics for constraint satisfaction problems
AlejandroSosa-Ascencio.html
GabrielaOchoa.html
HugoTerashima-Marin.html
SantiagoEnriqueConant-Pablos.html
http___dx.doi.org_10.1007_s10710-015-9249-1 http://dx.doi.org/10.1007/s10710-015-9249-1
Sosa-Ascencio:2016:GECCOcomp Grammar-based Selection Hyper-heuristics for Solving Irregular Bin Packing Problems
AlejandroSosa-Ascencio.html
HugoTerashima-Marin.html
JoseCarlosOrtiz-Bayliss.html
SantiagoEnriqueConant-Pablos.html
http___dx.doi.org_10.1145_2908961.2908970 http://dx.doi.org/10.1145/2908961.2908970
Sotelo:2012:evolve Analysis and Classification of Epilepsy Stages with Genetic Programming
ArturoSotelo.html
EnriqueGuijarroEstelles.html
LeonardoTrujillo.html
LuisNCoria.html
YulianaMartinez.html
http___dx.doi.org_10.1007_978-3-642-31519-0_4 http://dx.doi.org/10.1007/978-3-642-31519-0_4
Sotelo:2013:CBM Identification of epilepsy stages from ECoG using genetic programming classifiers
ArturoSotelo.html
EnriqueGuijarroEstelles.html
LeonardoTrujillo.html
LuisNCoria.html
YulianaMartinez.html
http___www.sciencedirect.com_science_article_pii_S001048251300231X http://www.sciencedirect.com/science/article/pii/S001048251300231X
http___dx.doi.org_10.1016_j.compbiomed.2013.08.016 http://dx.doi.org/10.1016/j.compbiomed.2013.08.016
Sotelo-Figueroa:2013:nabic Evolving and Reusing Bin Packing Heuristic through Grammatical Differential Evolution
MarcoAurelioSoteloFigueroa.html
HectorJPuga.html
JuanMartinCarpio-Valadez.html
HectorJoaquinFraireHuacuja.html
LauraCruz.html
JorgeAlbertoSoria-Alcaraz.html
http___www.mirlabs.net_nabic13_proceedings_html_paper24.xml http://www.mirlabs.net/nabic13/proceedings/html/paper24.xml
http___dx.doi.org_10.1109_NaBIC.2013.6617844 http://dx.doi.org/10.1109/NaBIC.2013.6617844
series/sci/Sotelo-FigueroaSCHRS15 Clustering Bin Packing Instances for Generating a Minimal Set of Heuristics by Using Grammatical Evolution
MarcoAurelioSoteloFigueroa.html
HectorJPuga.html
JuanMartinCarpio-Valadez.html
HectorJoaquinFraireHuacuja.html
LauraCruz.html
JorgeAlbertoSoria-Alcaraz.html
http___dx.doi.org_10.1007_978-3-319-10960-2 http://dx.doi.org/10.1007/978-3-319-10960-2
http___dx.doi.org_10.1007_978-3-319-10960-2_10 http://dx.doi.org/10.1007/978-3-319-10960-2_10
series/sci/Sotelo-FigueroaSVHRSE17 Generating Bin Packing Heuristic Through Grammatical Evolution Based on Bee Swarm Optimization
MarcoAurelioSoteloFigueroa.html
HectorJPuga.html
JuanMartinCarpio-Valadez.html
HectorJoaquinFraireHuacuja.html
LauraCruz.html
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AndresEspinalJimenez.html
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series/sci/Sotelo-FigueroaAESO18 Symbolic Regression by Means of Grammatical Evolution with Estimation Distribution Algorithms as Search Engine
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Sotiropoulos:2021:ICTAI A Genetically Evolved Measure of Credit-Risk
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GregoryKoronakos.html
http___dx.doi.org_10.1109_ICTAI52525.2021.00219 http://dx.doi.org/10.1109/ICTAI52525.2021.00219
Sotto:2014:GECCOcomp Comparison of linear genetic programming variants for symbolic regression
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http___doi.acm.org_10.1145_2598394.2598472 http://doi.acm.org/10.1145/2598394.2598472
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DBLP:conf/bracis/SottoM14 Investigation of Linear Genetic Programming Techniques for Symbolic Regression
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conf/sac/SottoMB16 An improved $\lambda$-linear genetic programming evaluated in solving the Santa Fe ant trail problem
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ViniciusVelosodeMelo.html
MarcioPortoBasgalupp.html
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Sotto:2016:Neurocomputing Studying bloat control and maintenance of effective code in linear genetic programming for symbolic regression
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Sotto:2016:GECCO Classification of Cardiac Arrhythmia by Random Forests with Features Constructed by Kaizen Programming using Linear Genetic Programming
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ReginaCeliaCoelho.html
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Sotto:2016:GECCOcomp Solving the Lawn Mower problem with Kaizen Programming and $\lambda$-Linear Genetic Programming for Module Acquisition
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ViniciusVelosodeMelo.html
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Sotto:2017:GECCO A Probabilistic Linear Genetic Programming with Stochastic Context-free Grammar for Solving Symbolic Regression Problems
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journals/kais/SottoMB17 $\lambda$-LGP: an improved version of linear genetic programming evaluated in the Ant Trail problem
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Sotto:2019:GECCO On the role of non-effective code in linear genetic programming
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FranzRothlauf.html
http___dx.doi.org_10.1145_3321707.3321822 http://dx.doi.org/10.1145/3321707.3321822
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Sotto:2020:GECCO A Study on Graph Representations for Genetic Programming
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https___doi.org_10.1145_3377930.3390234 https://doi.org/10.1145/3377930.3390234
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Sotto:GPEM Graph representations in genetic programming
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Sotto:2022:EC An Analysis of the Influence of Non-effective Instructions in Linear Genetic Programming
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FranzRothlauf.html
ViniciusVelosodeMelo.html
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http___dx.doi.org_10.1162_evco_a_00296 http://dx.doi.org/10.1162/evco_a_00296
Soui:2013:PCS Improving Adaptation Rules Quality Using Genetic Programming
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AsmaAbdelbaki.html
MarouaneKessentini.html
KhaledGhedira.html
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soule:1996:cgGP Code Growth in Genetic Programming
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soule:1996:GPamc Using Genetic Programming to Approximate Maximum Clique
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Soule:1997:csdfGP Code Size and Depth Flows in Genetic Programming
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soule:1997:smccg Support for Multiple Causes of Code Growth in GP
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soule:1998:rbias Removal Bias: a New Cause of Code Growth in Tree Based Evolutionary Programming
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soule:thesis Code Growth in Genetic Programming
TerenceSoule.html
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soule:1998:gp97 Genetic Programming 1997: Proceedings of the Second Annual Conference on Genetic Programming
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http___dx.doi.org_10.1109_TEVC.1997.687890 http://dx.doi.org/10.1109/TEVC.1997.687890
soule:1998:ecgpppGP Effects of Code Growth and Parsimony Pressure on Populations in Genetic Programming
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soule:1999:VTA Voting Teams: A cooperative approach to non-typical problems using genetic programming
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Soule:2000:GECCO Heterogeneity and Specialization in Evolving Teams
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soule2:2001:gecco Function Sets in Genetic Programming
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soule:2002:EuroGP Exons and Code Growth in Genetic Programming
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soule:2002:GPEM An Analysis of the Causes of Code Growth in Genetic Programming
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http___dx.doi.org_10.1023_A_1020115409250 http://dx.doi.org/10.1023/A:1020115409250
soule:2002:ISCIS Solution Stability in Evolutionary Computation
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JianShen.html
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soule03 Cooperative Evolution on the Intertwined Spirals Problem
TerenceSoule.html
http___dx.doi.org_10.1007_3-540-36599-0_41 http://dx.doi.org/10.1007/3-540-36599-0_41
soule:2003:GPTP Operator Choice and the Evolution of Robust Solutions
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Soule:2006:GPTP Orthogonal Evolution of Teams: A Class of Algorithms for Evolving Teams with Inversely Correlated Errors
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Soule:2007:SPIE Evolutionary optimization of cooperative heterogeneous teams
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Soule:2007:GPTPintro Genetic Programming: Theory and Practice
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Soule:2007:GPTP Improving Performance and Cooperation in Multi-Agent Systems
TerenceSoule.html
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Riolo:2008:GPTP Genetic Programming Theory and Practice VI
TerenceSoule.html
RickLRiolo.html
WilliamPWorzel.html
http___dx.doi.org_10.1007_978-0-387-87623-8 http://dx.doi.org/10.1007/978-0-387-87623-8
Soule:2008:GPTPa Genetic Programming: Theory and Practice VI
TerenceSoule.html
RickLRiolo.html
Una-MayO'Reilly.html
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Soule:2008:GPTP Crossover and Sampling Biases on Nearly Uniform Landscapes
TerenceSoule.html
http___dx.doi.org_10.1007_978-0-387-87623-8_6 http://dx.doi.org/10.1007/978-0-387-87623-8_6
DBLP:conf/gecco/SouleH09 Environmental robustness in multi-agent teams
TerenceSoule.html
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http___dx.doi.org_10.1145_1569901.1569926 http://dx.doi.org/10.1145/1569901.1569926
Soule:2010:GPTP Ensemble Classifiers: AdaBoost and Orthogonal Evolution of Teams
TerenceSoule.html
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Soule:2012:GPTP A Practical Platform for On-Line Genetic Programming for Robotics
TerenceSoule.html
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Soule:2012:GECCO GECCO '12: Proceedings of the fourteenth international conference on Genetic and evolutionary computation conference
TerenceSoule.html
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sourbier:2022:GECCOcomp Imbalanced Classification with TPG Genetic Programming: Impact of Problem Imbalance and Selection Mechanisms
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MaximePelcat.html
http___dx.doi.org_10.1145_3520304.3529008 http://dx.doi.org/10.1145/3520304.3529008
Sourbier:thesis Learning-based Intrusion Detection: An imbalanced, constantly evolving and Timely Problem
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conf/trustcom/SousaLB17 GEEK: Grammatical Evolution for Automatically Evolving Kernel Functions
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MarcioPortoBasgalupp.html
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http___dx.doi.org_10.1109_Trustcom_BigDataSE_ICESS.2017.334 http://dx.doi.org/10.1109/Trustcom/BigDataSE/ICESS.2017.334
sousa:2017:CEC Integer-based genetic algorithm for feature selection in multivariate calibration
RhelcrisSSousa.html
TelmaWdeLima.html
LauroCMdePaula.html
RoneyLLima.html
ArlindoRGFilho.html
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Sousa:2022:evostarLBA Explaining Protein-Protein Interaction Predictions with Genetic Programming
RitaTSousa.html
SaraSilva.html
CatiaLuisaSantanaCalistoPesquita.html
https___arxiv.org_abs_2208.00555 https://arxiv.org/abs/2208.00555
soute:2001:ugpflf Using Genetic Programming to Find Lyapunov Functions
IACSoute.html
MJGvandeMolengraft.html
GZAngelis.html
south:thesis The Application of Genetic Algorithms to Rule Finding in Data Analysis
MarieCarolineSouth.html
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Souza:2018:SSBSE A Preliminary Systematic Mapping Study of Human Competitiveness of SBSE
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AllyssonAllexAraujo.html
RaphaelSaraiva.html
PamellaSoares.html
CamilaMaia.html
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souza:2021:PAI Genetic Programming for Feature Extraction in Motor Imagery Brain-Computer Interface
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HederSoaresBernardino.html
AlexBorgesVieira.html
HelioJCBarbosa.html
http___link.springer.com_chapter_10.1007_978-3-030-86230-5_18 http://link.springer.com/chapter/10.1007/978-3-030-86230-5_18
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souza:2022:IS Feature Extraction for a Genetic Programming-Based Brain-Computer Interface
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LucianaPaixaoMotta.html
HederSoaresBernardino.html
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Souza:2007:cec The Boosting Technique Using Correlation Coefficient to Improve Time Series Forecasting Accuracy
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JoelMauricioCorreadaRosa.html
AnselmoChavesNeto.html
http___dx.doi.org_10.1109_CEC.2007.4424619 http://dx.doi.org/10.1109/CEC.2007.4424619
LVdeSouza:thesis Programacao Genetica e Combinacao de Preditores para Previsao de Series Temporais
LuziaVidaldeSouza.html
http___www.degraf.ufpr.br_docentes_Luzia_TesePDF.pdf http://www.degraf.ufpr.br/docentes/Luzia/TesePDF.pdf
Souza:2006:ICTAI Using Correlation to Improve Boosting Technique: An Application for Time Series Forecasting
LuziaVidaldeSouza.html
AuroraTrinidadRamirezPozo.html
AnselmoChavesNeto.html
http___dx.doi.org_10.1109_ICTAI.2006.118 http://dx.doi.org/10.1109/ICTAI.2006.118
Spector:1994:GPAI Genetic programming and AI planning systems
LeeSpector.html
http___hampshire.edu_lspector_pubs_gp-aaai.pdf http://hampshire.edu/lspector/pubs/gp-aaai.pdf
Spector:1994:ccaga Criticism, culture, and the automatic generation of artworks
LeeSpector.html
AdamAlpern.html
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Spector:1995:irdms Induction and Recapitulation of Deep Musical Structure
LeeSpector.html
AdamAlpern.html
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spector:1995:ADM Evolving Control Structures with Automatically Defined Macros
LeeSpector.html
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spector:1996:aigp2 Simultaneous Evolution of Programs and their Control Structures
LeeSpector.html
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http___ieeexplore.ieee.org_xpl_articleDetails.jsp_tp__arnumber_6277496 http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6277496
http___dx.doi.org_10.7551_mitpress_1109.003.0012 http://dx.doi.org/10.7551/mitpress/1109.003.0012
spector:1996:ctiGP Cultural Transmission of Information in Genetic Programming
LeeSpector.html
SeanLuke.html
http___www.cs.gmu.edu__sean_papers_culture-gp96.pdf http://www.cs.gmu.edu/~sean/papers/culture-gp96.pdf
http___www.cs.gmu.edu__sean_papers_culture-gp96.ps.gz http://www.cs.gmu.edu/~sean/papers/culture-gp96.ps.gz
http___cognet.mit.edu_sites_default_files_books_9780262315876_pdfs_9780262315876_chap25.pdf http://cognet.mit.edu/sites/default/files/books/9780262315876/pdfs/9780262315876_chap25.pdf
http___cognet.mit.edu_library_books_view_isbn_0262611279 http://cognet.mit.edu/library/books/view?isbn=0262611279
spector:1996:ogp Ontogenetic Programming
LeeSpector.html
KilianStoffel.html
http___helios.hampshire.edu_lspector_pubs_onto-gp96-e.pdf http://helios.hampshire.edu/lspector/pubs/onto-gp96-e.pdf
http___cognet.mit.edu_sites_default_files_books_9780262315876_pdfs_9780262315876_chap54.pdf http://cognet.mit.edu/sites/default/files/books/9780262315876/pdfs/9780262315876_chap54.pdf
http___cognet.mit.edu_library_books_view_isbn_0262611279 http://cognet.mit.edu/library/books/view?isbn=0262611279
spector:1996:GP Culture Enhances the Evolvability of Cognition
LeeSpector.html
SeanLuke.html
http___www.cs.gmu.edu__sean_papers_culture-cogsci.pdf http://www.cs.gmu.edu/~sean/papers/culture-cogsci.pdf
http___www.cs.gmu.edu__sean_papers_culture-cogsci.ps.gz http://www.cs.gmu.edu/~sean/papers/culture-cogsci.ps.gz
spector:1996:agap Automatic Generation of Adaptive Programs
LeeSpector.html
KilianStoffel.html
http___helios.hampshire.edu_lspector_pubs_onto-sab96-e.pdf http://helios.hampshire.edu/lspector/pubs/onto-sab96-e.pdf
http___ieeexplore.ieee.org_xpl_articleDetails.jsp_arnumber_6291896 http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6291896
oai:CiteSeerPSU:444693 Automatic Generation of Intelligent Agent Programs
LeeSpector.html
http___hampshire.edu_lspector_pubs_IEEE-expert.pdf http://hampshire.edu/lspector/pubs/IEEE-expert.pdf
http___citeseer.ist.psu.edu_444693.html http://citeseer.ist.psu.edu/444693.html
spector:1998:GPqc Genetic Programming for Quantum Computers
LeeSpector.html
HowardBarnum.html
HerbertJBernstein.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.160.4471 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.160.4471
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.160.4471.pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.160.4471.pdf
book:1999:aigp3 Advances in Genetic Programming 3
LeeSpector.html
WilliamBLangdon.html
Una-MayO'Reilly.html
PeterJohnAngeline.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_aigp3 http://www.cs.ucl.ac.uk/staff/W.Langdon/aigp3
http___dx.doi.org_10.7551_mitpress_1110.001.0001 http://dx.doi.org/10.7551/mitpress/1110.001.0001
spector:1999:aigp3 Quantum Computing Applications of Genetic Programming
LeeSpector.html
HowardBarnum.html
HerbertJBernstein.html
NikhilSwamy.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_aigp3_ch07.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/aigp3/ch07.pdf
http___dx.doi.org_10.7551_mitpress_1110.003.0010 http://dx.doi.org/10.7551/mitpress/1110.003.0010
intro:1999:aigp3 An Introduction to the Third Volume
LeeSpector.html
WilliamBLangdon.html
Una-MayO'Reilly.html
PeterJohnAngeline.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_aigp3_ch01.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/aigp3/ch01.pdf
http___www.cs.ucl.ac.uk_staff_W.Langdon_aigp3_aigp3-intro_aigp3-intro.html http://www.cs.ucl.ac.uk/staff/W.Langdon/aigp3/aigp3-intro/aigp3-intro.html
http___dx.doi.org_10.7551_mitpress_1110.003.0003 http://dx.doi.org/10.7551/mitpress/1110.003.0003
spector:1999:FBQAAGP Finding a Better-than-Classical Quantum AND/OR Algorithm using Genetic Programming
LeeSpector.html
HowardBarnum.html
HerbertJBernstein.html
NikhilSwamy.html
http___hampshire.edu__lasCCS_pubs_spector-cec99.ps http://hampshire.edu/~lasCCS/pubs/spector-cec99.ps
http___citeseer.ist.psu.edu_357893.html http://citeseer.ist.psu.edu/357893.html
http___dx.doi.org_10.1109_CEC.1999.785553 http://dx.doi.org/10.1109/CEC.1999.785553
spector:2000:IS The evolution of arbitary computational processes
LeeSpector.html
http___ieeexplore.ieee.org_iel5_5254_18363_00846288.pdf http://ieeexplore.ieee.org/iel5/5254/18363/00846288.pdf
http___dx.doi.org_10.1109_5254.846288 http://dx.doi.org/10.1109/5254.846288
spector:2001:GECCO Proceedings of the Genetic and Evolutionary Computation Conference, GECCO-2001
LeeSpector.html
ErikGoodman.html
AnnieSWu.html
WilliamBLangdon.html
Hans-MichaelVoigt.html
MitsuoGen.html
SandipSen.html
MarcoDorigo.html
ShahramPezeshk.html
MaxHGarzon.html
EdmundBurke.html
http___gpbib.cs.ucl.ac.uk_gecco2001_ http://gpbib.cs.ucl.ac.uk/gecco2001/
spector2:2001:gecco Autoconstructive Evolution: Push, PushGP, and Pushpop
LeeSpector.html
http___hampshire.edu_lspector_pubs_ace.pdf http://hampshire.edu/lspector/pubs/ace.pdf
http___citeseer.ist.psu.edu_445431.html http://citeseer.ist.psu.edu/445431.html
http___gpbib.cs.ucl.ac.uk_gecco2001_d01.pdf http://gpbib.cs.ucl.ac.uk/gecco2001/d01.pdf
spector:2001:vqacpapsa Virtual Quidditch: A Challenge Problem for Automatically Programmed Software Agents
LeeSpector.html
RyanMoore.html
AlanRobinson.html
http___hampshire.edu_lspector_pubs_quidditch-cite.pdf http://hampshire.edu/lspector/pubs/quidditch-cite.pdf
spector:2002:GPEM Genetic Programming and Autoconstructive Evolution with the Push Programming Language
LeeSpector.html
AlanRobinson.html
http___hampshire.edu_lspector_pubs_push-gpem-final.pdf http://hampshire.edu/lspector/pubs/push-gpem-final.pdf
https___rdcu.be_cDzCG https://rdcu.be/cDzCG
http___dx.doi.org_10.1023_A_1014538503543 http://dx.doi.org/10.1023/A:1014538503543
spector:2002:GPEMr Book Review: The Quest for the Quantum Computer
LeeSpector.html
http___dx.doi.org_10.1023_A_1020945110902 http://dx.doi.org/10.1023/A:1020945110902
spector:2002:gecco:workshop Multi-type, Self-adaptive Genetic Programming as an Agent Creation Tool
LeeSpector.html
AlanRobinson.html
http___hampshire.edu_lspector_pubs_ecomas2002-spector-toappear.pdf http://hampshire.edu/lspector/pubs/ecomas2002-spector-toappear.pdf
Spector:2002:alife Adaptive populations of endogenously diversifying Pushpop organisms are reliably diverse
LeeSpector.html
http___hampshire.edu_lspector_pubs_spector-alife8.pdf http://hampshire.edu/lspector/pubs/spector-alife8.pdf
http___www.alife.org_alife8_proceedings_sub962.pdf http://www.alife.org/alife8/proceedings/sub962.pdf
spector:2002:QCMC Communication Capacities of Some Quantum Gates, Discovered in Part through Genetic Programming
LeeSpector.html
HerbertJBernstein.html
http___hampshire.edu_lspector_pubs_spector-QCMC-prepress.pdf http://hampshire.edu/lspector/pubs/spector-QCMC-prepress.pdf
spector:2003:GPTP An Essay Concerning Human Understanding of Genetic Programming
LeeSpector.html
http___hampshire.edu_lspector_pubs_spector-gptp03.pdf http://hampshire.edu/lspector/pubs/spector-gptp03.pdf
http___www.springer.com_computer_ai_book_978-1-4020-7581-0 http://www.springer.com/computer/ai/book/978-1-4020-7581-0
http___dx.doi.org_10.1007_978-1-4419-8983-3_2 http://dx.doi.org/10.1007/978-1-4419-8983-3_2
push2-description Push 2.0 Programming Language Description
LeeSpector.html
ChristopherHPerry.html
JonKlein.html
http___hampshire.edu_lspector_push2-description.html http://hampshire.edu/lspector/push2-description.html
spector:book Automatic Quantum Computer Programming: A Genetic Programming Approach
LeeSpector.html
http___dx.doi.org_10.1007_978-0-387-36791-0 http://dx.doi.org/10.1007/978-0-387-36791-0
spector:2005:GPEM Emergence of Collective Behavior in Evolving Populations of Flying Agents
LeeSpector.html
JonKlein.html
ChristopherHPerry.html
MarkFeinstein.html
http___hampshire.edu_lspector_pubs_emergence-collective-GPEM.pdf http://hampshire.edu/lspector/pubs/emergence-collective-GPEM.pdf
http___dx.doi.org_10.1007_s10710-005-7620-3 http://dx.doi.org/10.1007/s10710-005-7620-3
spector:2005:GPTP Trivial Geography in Genetic Programming
LeeSpector.html
JonKlein.html
http___hampshire.edu_lspector_pubs_trivial-geography-toappear.pdf http://hampshire.edu/lspector/pubs/trivial-geography-toappear.pdf
http___dx.doi.org_10.1007_0-387-28111-8_8 http://dx.doi.org/10.1007/0-387-28111-8_8
Spector:push3tr Push 3.0 Programming Language Description
LeeSpector.html
ChristopherHPerry.html
JonKlein.html
MaartenKeijzer.html
http___www.hampshire.edu_cms_PDF_HC-CSTR-2004-02.pdf http://www.hampshire.edu/cms_PDF/HC-CSTR-2004-02.pdf
http___faculty.hampshire.edu_lspector_push3-description.html http://faculty.hampshire.edu/lspector/push3-description.html
Spector:2005:YLEM Selection Songs: Evolutionary Music Computation
LeeSpector.html
JonKlein.html
KyleIraHarrington.html
http___hampshire.edu_lspector_pubs_selection-songs.pdf http://hampshire.edu/lspector/pubs/selection-songs.pdf
http___www.ylem.org_Journal_2005Iss06_08vol25.pdf http://www.ylem.org/Journal/2005Iss06&08vol25.pdf
1068292 The Push3 execution stack and the evolution of control
LeeSpector.html
JonKlein.html
MaartenKeijzer.html
http___gpbib.cs.ucl.ac.uk_gecco2005_docs_p1689.pdf http://gpbib.cs.ucl.ac.uk/gecco2005/docs/p1689.pdf
http___dx.doi.org_10.1145_1068009.1068292 http://dx.doi.org/10.1145/1068009.1068292
spector:2005:globe And now, digital evolution
LeeSpector.html
http___www.boston.com_news_globe_editorial_opinion_oped_articles_2005_08_29_and_now_digital_evolution_ http://www.boston.com/news/globe/editorial_opinion/oped/articles/2005/08/29/and_now_digital_evolution/
Spector:2006:GPTP Multidimensional tags, cooperative populations, and genetic programming
LeeSpector.html
JonKlein.html
http___faculty.hampshire.edu_lspector_pubs_multitags-GPTP06.pdf http://faculty.hampshire.edu/lspector/pubs/multitags-GPTP06.pdf
http___dx.doi.org_10.1007_978-0-387-49650-4_7 http://dx.doi.org/10.1007/978-0-387-49650-4_7
Spector:2008:gecco Genetic programming for finite algebras
LeeSpector.html
DavidMClark.html
IanLindsay.html
BradfordBarr.html
JonKlein.html
http___gpbib.cs.ucl.ac.uk_gecco2008_docs_p1291.pdf http://gpbib.cs.ucl.ac.uk/gecco2008/docs/p1291.pdf
http___dx.doi.org_10.1145_1389095.1389343 http://dx.doi.org/10.1145/1389095.1389343
Spector:2008:geccocomp Quantum computing
LeeSpector.html
http___gpbib.cs.ucl.ac.uk_gecco2008_docs_p2865.pdf http://gpbib.cs.ucl.ac.uk/gecco2008/docs/p2865.pdf
http___dx.doi.org_10.1145_1388969.1389082 http://dx.doi.org/10.1145/1388969.1389082
journals/aiedam/Spector08 Introduction to the Special Issue on genetic programming for human-competitive designs
LeeSpector.html
http___dx.doi.org_10.1017_S0890060408000115 http://dx.doi.org/10.1017/S0890060408000115
DBLP:journals/aiedam/SpectorK08 Machine invention of quantum computing circuits by means of genetic programming
LeeSpector.html
JonKlein.html
http___dx.doi.org_10.1017_S0890060408000188 http://dx.doi.org/10.1017/S0890060408000188
spector:2010:GPTP Towards Practical Autoconstructive Evolution: Self-Evolution of Problem-Solving Genetic Programming Systems
LeeSpector.html
http___www.springer.com_computer_ai_book_978-1-4419-7746-5 http://www.springer.com/computer/ai/book/978-1-4419-7746-5
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.472.6583 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.472.6583
http___faculty.hampshire.edu_lspector_pubs_spector-gptp10-preprint.pdf http://faculty.hampshire.edu/lspector/pubs/spector-gptp10-preprint.pdf
http___dx.doi.org_10.1007_978-1-4419-7747-2_2 http://dx.doi.org/10.1007/978-1-4419-7747-2_2
Spector:2010:geccocomp Evolution of quantum algorithms
LeeSpector.html
http___dx.doi.org_10.1145_1830761.1830917 http://dx.doi.org/10.1145/1830761.1830917
Spector:2011:GPTP What's in an Evolved Name? The Evolution of Modularity via Tag-Based Reference
LeeSpector.html
KyleIraHarrington.html
BrianMartin.html
ThomasHelmuth.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.457.6420 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.457.6420
http___hampshire.edu_lspector_pubs_spector-gptp11-preprint.pdf http://hampshire.edu/lspector/pubs/spector-gptp11-preprint.pdf
http___dx.doi.org_10.1007_978-1-4614-1770-5_1 http://dx.doi.org/10.1007/978-1-4614-1770-5_1
Spector:2011:GECCO Tag-based modules in genetic programming
LeeSpector.html
BrianMartin.html
KyleIraHarrington.html
ThomasHelmuth.html
http___dx.doi.org_10.1145_2001576.2001767 http://dx.doi.org/10.1145/2001576.2001767
Spector:2011:GECCOcomp Evolving quantum computer algorithms
LeeSpector.html
http___dx.doi.org_10.1145_2001858.2002128 http://dx.doi.org/10.1145/2001858.2002128
Spector:2012:GECCO Tag-based modularity in tree-based genetic programming
LeeSpector.html
KyleIraHarrington.html
ThomasHelmuth.html
http___dx.doi.org_10.1145_2330163.2330276 http://dx.doi.org/10.1145/2330163.2330276
Spector:2012:GECCOcompA Assessment of Problem Modality by Differential Performance of Lexicase Selection in Genetic Programming: A Preliminary Report
LeeSpector.html
http___hampshire.edu_lspector_pubs_wk09p4-spector.pdf http://hampshire.edu/lspector/pubs/wk09p4-spector.pdf
http___dx.doi.org_10.1145_2330784.2330846 http://dx.doi.org/10.1145/2330784.2330846
Spector:2012:GECCOcomp Expressive genetic programming: tutorial: 2012 genetic and evolutionary computation conference (GECCO-2012)
LeeSpector.html
http___dx.doi.org_10.1145_2330784.2330926 http://dx.doi.org/10.1145/2330784.2330926
Spector:2013:GPTP Uniform Linear Transformation with Repair and Alternation in Genetic Programming
LeeSpector.html
ThomasHelmuth.html
http___dx.doi.org_10.1007_978-1-4939-0375-7_8 http://dx.doi.org/10.1007/978-1-4939-0375-7_8
Spector:2013:GECCOcomp Expressive genetic programming
LeeSpector.html
http___dx.doi.org_10.1145_2464576.2480806 http://dx.doi.org/10.1145/2464576.2480806
Spector:2014:GECCOcomp Effective simplification of evolved push programs using a simple, stochastic hill-climber
LeeSpector.html
ThomasHelmuth.html
http___doi.acm.org_10.1145_2598394.2598414 http://doi.acm.org/10.1145/2598394.2598414
http___dx.doi.org_10.1145_2598394.2598414 http://dx.doi.org/10.1145/2598394.2598414
Spector:2014:GECCOcompa Expressive genetic programming
LeeSpector.html
http___doi.acm.org_10.1145_2598394.2605350 http://doi.acm.org/10.1145/2598394.2605350
http___dx.doi.org_10.1145_2598394.2605350 http://dx.doi.org/10.1145/2598394.2605350
Spector:2015:GECCOcomp Expressive Genetic Programming
LeeSpector.html
http___doi.acm.org_10.1145_2739482.2756578 http://doi.acm.org/10.1145/2739482.2756578
http___dx.doi.org_10.1145_2739482.2756578 http://dx.doi.org/10.1145/2739482.2756578
Spector:2015:csdc Automatic Programming via Evolution
LeeSpector.html
http___cs-dc-15.org_ http://cs-dc-15.org/
http___cs-dc-15.org_papers_multi-scale-dynamics_evol-comp-methods_automatic-programming-via-evolution_ http://cs-dc-15.org/papers/multi-scale-dynamics/evol-comp-methods/automatic-programming-via-evolution/
http___bbb.univ-paris8.fr_playback_presentation_0.9.0_playback.html_meetingId_6ad96bff76a2e7d996cd44d1c7ea0d7caa4a8036-1443402355571 http://bbb.univ-paris8.fr/playback/presentation/0.9.0/playback.html?meetingId=6ad96bff76a2e7d996cd44d1c7ea0d7caa4a8036-1443402355571
Spector:2016:GECCOcomp Expressive Genetic Programming: Concepts and Applications
LeeSpector.html
NicholasFreitagMcPhee.html
http___dx.doi.org_10.1145_2908961.2926988 http://dx.doi.org/10.1145/2908961.2926988
Spector:2016:GECCOcompA Evolution Evolves with Autoconstruction
LeeSpector.html
NicholasFreitagMcPhee.html
ThomasHelmuth.html
MaggieMCasale.html
JulianOks.html
http___dx.doi.org_10.1145_2908961.2931727 http://dx.doi.org/10.1145/2908961.2931727
Spector:2017:GPTP Relaxations of Lexicase Parent Selection
LeeSpector.html
WilliamLaCava.html
SaulShanabrook.html
ThomasHelmuth.html
EdwardRPantridge.html
https___link.springer.com_chapter_10.1007_978-3-319-90512-9_7 https://link.springer.com/chapter/10.1007/978-3-319-90512-9_7
http___dx.doi.org_10.1007_978-3-319-90512-9_7 http://dx.doi.org/10.1007/978-3-319-90512-9_7
Spector:2017:GPEM Introduction to the peer commentary special section on ``On the Mapping of Genotype to Phenotype in Evolutionary Algorithms'' by Peter A. Whigham, Grant Dick, and James Maclaurin
LeeSpector.html
http___dx.doi.org_10.1007_s10710-017-9287-y http://dx.doi.org/10.1007/s10710-017-9287-y
Spector:2017:GECCO Expressive Genetic Programming: Concepts and Applications
LeeSpector.html
NicholasFreitagMcPhee.html
http___doi.acm.org_10.1145_3067695.3067699 http://doi.acm.org/10.1145/3067695.3067699
http___dx.doi.org_10.1145_3067695.3067699 http://dx.doi.org/10.1145/3067695.3067699
Spector:2017:GECCOa Recent Developments in Autoconstructive Evolution
LeeSpector.html
EvaMoscovici.html
http___doi.acm.org_10.1145_3067695.3082058 http://doi.acm.org/10.1145/3067695.3082058
http___dx.doi.org_10.1145_3067695.3082058 http://dx.doi.org/10.1145/3067695.3082058
Spector:2018:GECCOcomp Expressive genetic programming: concepts and applications
LeeSpector.html
NicholasFreitagMcPhee.html
http___dx.doi.org_10.1145_3205651.3207867 http://dx.doi.org/10.1145/3205651.3207867
Spector:2019:GECCOcomp Push: genetic programming for finite algebras
LeeSpector.html
NicholasFreitagMcPhee.html
LeeSpector.html
DavidMClark.html
IanLindsay.html
BradfordBarr.html
JonKlein.html
http___dx.doi.org_10.1145_3319619.3323392 http://dx.doi.org/10.1145/3319619.3323392
Spector:2020:GECCOcomp Push
LeeSpector.html
https___doi.org_10.1145_3377929.3389883 https://doi.org/10.1145/3377929.3389883
http___dx.doi.org_10.1145_3377929.3389883 http://dx.doi.org/10.1145/3377929.3389883
Spector:2022:GPTP Honor all the things: A lexicase selection manifesto
LeeSpector.html
Spector:2023:GPTP Particularity
LeeSpector.html
LiDing.html
RyanBoldi.html
http___dx.doi.org_10.1007_978-981-99-8413-8_9 http://dx.doi.org/10.1007/978-981-99-8413-8_9
icga93:spencer Automatic Generation of Programs for Crawling and Walking
GrahamFSpencer.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_icga93_spencer.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/icga93_spencer.pdf
kinnear:spencer Automatic generation of programs for Crawling and Walking
GrahamFSpencer.html
http___www.amazon.co.uk_Advances-Genetic-Programming-Complex-Adaptive_dp_0262111888 http://www.amazon.co.uk/Advances-Genetic-Programming-Complex-Adaptive/dp/0262111888
http___cognet.mit.edu_sites_default_files_books_9780262277181_pdfs_9780262277181_chap15.pdf http://cognet.mit.edu/sites/default/files/books/9780262277181/pdfs/9780262277181_chap15.pdf
http___dx.doi.org_10.7551_mitpress_1108.003.0021 http://dx.doi.org/10.7551/mitpress/1108.003.0021
DBLP:journals/corr/abs-1105-1534 Taking the redpill: Artificial Evolution in native x86 systems
ThomasSperl.html
http___arxiv.org_abs_1105.1534 http://arxiv.org/abs/1105.1534
Spina:2009:DSP Fast interactive segmentation of natural images using the image foresting transform
ThiagoVallinSpina.html
JavierAMontoyaZegarra.html
AlexandreXFalcao.html
PauloAVdeMiranda.html
http___dx.doi.org_10.1109_ICDSP.2009.5201044 http://dx.doi.org/10.1109/ICDSP.2009.5201044
Spinosa:2001:gtgp Chameleon: a Generic Tool for Genetic Programming
EduardoJSpinosa.html
AuroraTrinidadRamirezPozo.html
SilviaReginaVergilio.html
ErnestoLMRodrigues.html
http___www.lbd.dcc.ufmg.br_bdbcomp_servlet_Trabalho_id_2336 http://www.lbd.dcc.ufmg.br/bdbcomp/servlet/Trabalho?id=2336
sbia2002meta033 Controlling the Population Size in Genetic Programming
EduardoJSpinosa.html
AuroraTrinidadRamirezPozo.html
http___dx.doi.org_10.1007_3-540-36127-8_33 http://dx.doi.org/10.1007/3-540-36127-8_33
spitz:1994:esrmsGP Evolving Stopping Rule Mating Strategies using Genetic Programming
StevenSpitz.html
spitz:1994:dgpopce Distributed Genetic Programming for On-line Prediction in Changing Environments
StevenSpitz.html
spivak:2002:DOCRAGP Discovery of Optical Character Recognition Algorithms using Genetic Programming
PolinaKSpivak.html
http___www.genetic-programming.org_sp2002_Spivak.pdf http://www.genetic-programming.org/sp2002/Spivak.pdf
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.140.8647 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.140.8647
conf/icinco/SprogarVC06 Considerations for selecting functions and terminals in genetic programming for fault-detection in embedded systems
MatejSprogar.html
DomenVerber.html
MatjazColnaric.html
http___www.icinco.org_Abstracts_2006_ICINCO_2006_Abstracts.htm http://www.icinco.org/Abstracts/2006/ICINCO_2006_Abstracts.htm
http___dx.doi.org_10.5220_0001215101420147 http://dx.doi.org/10.5220/0001215101420147
Sprogar:2008:ICMLA A Study of GP's Division Operators for Symbolic Regression
MatejSprogar.html
http___dx.doi.org_10.1109_ICMLA.2008.84 http://dx.doi.org/10.1109/ICMLA.2008.84
Sprogar:2015:GPEM Prudent alignment and crossover of decision trees in genetic programming
MatejSprogar.html
http___dx.doi.org_10.1007_s10710-015-9243-7 http://dx.doi.org/10.1007/s10710-015-9243-7
squillero:2005:GPEM MicroGP - An Evolutionary Assembly Program Generator
GiovanniSquillero.html
http___dx.doi.org_10.1007_s10710-005-2985-x http://dx.doi.org/10.1007/s10710-005-2985-x
DBLP:journals/computing/Squillero11 Artificial evolution in computer aided design: from the optimization of parameters to the creation of assembly programs
GiovanniSquillero.html
http___dblp.uni-trier.de_rec_bib_journals_computing_Squillero11 http://dblp.uni-trier.de/rec/bib/journals/computing/Squillero11
http___dx.doi.org_10.1007_s00607-011-0157-9 http://dx.doi.org/10.1007/s00607-011-0157-9
Squillero:2017:GPEM (Over-)Realism in evolutionary computation: Commentary on ``On the Mapping of Genotype to Phenotype in Evolutionary Algorithms'' by Peter A. Whigham, Grant Dick, and James Maclaurin
GiovanniSquillero.html
AlbertoTonda.html
http___dx.doi.org_10.1007_s10710-017-9295-y http://dx.doi.org/10.1007/s10710-017-9295-y
squillero:2023:GPEM Veni, Vidi, Evolvi commentary on W. B. Langdon's ``Jaws 30''
GiovanniSquillero.html
AlbertoTonda.html
https___rdcu.be_drZdE https://rdcu.be/drZdE
http___dx.doi.org_10.1007_s10710-023-09472-0 http://dx.doi.org/10.1007/s10710-023-09472-0
Sreekanth2010245 Multi-objective management of saltwater intrusion in coastal aquifers using genetic programming and modular neural network based surrogate models
JanardhananSreekanth.html
BithinDatta.html
http___dx.doi.org_10.1016_j.jhydrol.2010.08.023 http://dx.doi.org/10.1016/j.jhydrol.2010.08.023
http___www.sciencedirect.com_science_article_B6V6C-50X3N5F-6_2_07d7a64a570c1efe71d9b3a1c71ffb34 http://www.sciencedirect.com/science/article/B6V6C-50X3N5F-6/2/07d7a64a570c1efe71d9b3a1c71ffb34
Sreekanth:2012:GPnew Genetic Programming: Efficient Modeling Tool in Hydrology and Groundwater Management
JanardhananSreekanth.html
BithinDatta.html
http___dx.doi.org_10.5772_52102 http://dx.doi.org/10.5772/52102
conf/dphoto/SridharDE16 Use of Flawed and Ideal Image Pairs to Drive Filter Creation by Genetic Programming
SubashMarriSridhar.html
HenryGDietz.html
PaulSelegueEberhart.html
http___www.ingentaconnect.com_content_ist_ei_2016_00002016_00000018_art00023 http://www.ingentaconnect.com/content/ist/ei/2016/00002016/00000018/art00023
http___dx.doi.org_10.2352_ISSN.2470-1173.2016.18.DPMI-016 http://dx.doi.org/10.2352/ISSN.2470-1173.2016.18.DPMI-016
http___ist.publisher.ingentaconnect.com_content_ist_ei_2016_00002016_00000018 http://ist.publisher.ingentaconnect.com/content/ist/ei/2016/00002016/00000018
Srikamdee:2019:InCIT Forecasting Daily Air Quality in Northern Thailand Using Machine Learning Techniques
SupawadeeSrikamdee.html
JanyaOnpans.html
http___dx.doi.org_10.1109_INCIT.2019.8912072 http://dx.doi.org/10.1109/INCIT.2019.8912072
srinivasan:2002:DBTPGP Development of Block-Stacking Teleo-Reactive Programs using Genetic Programming
PraveenSrinivasan.html
http___www.genetic-programming.org_sp2002_Srinivasan.pdf http://www.genetic-programming.org/sp2002/Srinivasan.pdf
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.140.7483 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.140.7483
Sripramong:thesis The evolution of analogue CMOS circuits using genetic programming
ThanwaSripramong.html
http___cas.ee.ic.ac.uk_old_students_thanwa_index.html http://cas.ee.ic.ac.uk/old/students/thanwa/index.html
http___ethos.bl.uk_OrderDetails.do_did_18_uin_uk.bl.ethos.272239 http://ethos.bl.uk/OrderDetails.do?did=18&uin=uk.bl.ethos.272239
sripramong:2002:TCADIC The invention of CMOS amplifiers using genetic programming and current-flow analysis
ThanwaSripramong.html
ChristoferToumazou.html
http___dx.doi.org_10.1109_TCAD.2002.804109 http://dx.doi.org/10.1109/TCAD.2002.804109
Srivastava:2014:ICRAIE Design and Simulation of Virtual Reconfigurable Circuit for a Fault Tolerant System
AtulKSrivastava.html
AmavGupta.html
SaurabhChaturvedi.html
VasuRastogi.html
http___dx.doi.org_10.1109_ICRAIE.2014.6909277 http://dx.doi.org/10.1109/ICRAIE.2014.6909277
Srivastava:2016:INDIACom Circuit segmentation using GP in FPGA's technology mapping
AtulKSrivastava.html
HimanshuShishodia.html
HimanshuJaypee.html
http___ieeexplore.ieee.org_xpl_articleDetails.jsp_tp__arnumber_7724605 http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=7724605
Srivisut:thesis Search-Based Temporal Testing of Multicore Applications
KomsanSrivisut.html
http___etheses.whiterose.ac.uk_22102_1_Komsan2017.pdf http://etheses.whiterose.ac.uk/22102/1/Komsan2017.pdf
http___etheses.whiterose.ac.uk_id_eprint_22102 http://etheses.whiterose.ac.uk/id/eprint/22102
Staats:2016:mastersthesis Genetic programming applied to RFI mitigation in radio astronomy
KaiStaats.html
https___open.uct.ac.za_handle_11427_23703 https://open.uct.ac.za/handle/11427/23703
https___open.uct.ac.za_bitstream_item_26627_thesis_sci_2016_staats_kai.pdf https://open.uct.ac.za/bitstream/item/26627/thesis_sci_2016_staats_kai.pdf
Staats:2017:LIGO To catch a Wave: A detection story
KaiStaats.html
http___www.ligo.org_magazine_LIGO-magazine-issue-10.pdf http://www.ligo.org/magazine/LIGO-magazine-issue-10.pdf
Staats:2017:GECCO TensorFlow Enabled Genetic Programming
KaiStaats.html
EdwardRPantridge.html
MarcoCavaglia.html
IuriiMilovanov.html
ArunAniyan.html
http___doi.acm.org_10.1145_3067695.3084216 http://doi.acm.org/10.1145/3067695.3084216
http___dx.doi.org_10.1145_3067695.3084216 http://dx.doi.org/10.1145/3067695.3084216
Stadelhofer:2005:PhysRevA Quantum and classical parallelism in parity algorithms for ensemble quantum computers
RalfStadelhofer.html
DieterSuter.html
WolfgangBanzhaf.html
http___dx.doi.org_10.1103_PhysRevA.71.032345 http://dx.doi.org/10.1103/PhysRevA.71.032345
oai:dspace.hrz.uni-dortmund.de:2003/23205 Evolving blackbox quantum algorithms using genetic programming
RalfStadelhofer.html
https___eldorado.uni-dortmund.de_bitstream_2003_23205_1_Dissertation_Ralf_Stadelhofer_20_11_06.pdf https://eldorado.uni-dortmund.de/bitstream/2003/23205/1/Dissertation_Ralf_Stadelhofer_20_11_06.pdf
http___hdl.handle.net_2003_23205 http://hdl.handle.net/2003/23205
DBLP:journals/aiedam/StadelhoferBS08 Evolving blackbox quantum algorithms using genetic programming
RalfStadelhofer.html
WolfgangBanzhaf.html
DieterSuter.html
http___dx.doi.org_10.1017_S089006040800019X http://dx.doi.org/10.1017/S089006040800019X
stadler:2003:GPEM Barrier Trees on Poset-Valued Landscapes
PeterFStadler.html
ChristophFlamm.html
http___www.tbi.univie.ac.at_papers_Abstracts_02-pfs-001.pdf http://www.tbi.univie.ac.at/papers/Abstracts/02-pfs-001.pdf
http___dx.doi.org_10.1023_A_1021821009420 http://dx.doi.org/10.1023/A:1021821009420
Staelens:2013:ieeeCSVT Constructing a No-Reference H.264/AVC Bitstream-based Video Quality Metric using Genetic Programming-based Symbolic Regression
NicolasStaelens.html
DirkDeschrijver.html
Ekaterina_Katya_Vladislavleva.html
BrechtVermeulen.html
TomDhaene.html
PietDemeester.html
http___dx.doi.org_10.1109_TCSVT.2013.2243052 http://dx.doi.org/10.1109/TCSVT.2013.2243052
Stallard:BSc A Parallel Approach to Grammatical Evolution in Python
MichaelStallard.html
http___www.cs.bath.ac.uk__mdv_courses_CM30082_projects.bho_2005-6_stallard-mj-dissertation-2005-6.pdf http://www.cs.bath.ac.uk/~mdv/courses/CM30082/projects.bho/2005-6/stallard-mj-dissertation-2005-6.pdf
stanciulescu:2000:ESIT Evolving Physical Models to Understand Motion in Image Sequences
BogdanStanciulescu.html
JeanLouchet.html
http___www.erudit.de_erudit_events_esit2000_proceedings_BA-01-2-P.pdf http://www.erudit.de/erudit/events/esit2000/proceedings/BA-01-2-P.pdf
http___jean.louchet.free.fr_publis_BS2000.pdf http://jean.louchet.free.fr/publis/BS2000.pdf
Stanciulescu:2000:WSCG Evolutionary Identification of Active Particle Systems
BogdanStanciulescu.html
JeanLouchet.html
http___wscg.zcu.cz_wscg2000_Papers_2000_T43.ps.gz http://wscg.zcu.cz/wscg2000/Papers_2000/T43.ps.gz
stanciulescu:2001:ACIVS Evolving motricity in particle-based models
BogdanStanciulescu.html
Jean-LoupFlorens.html
JeanLouchet.html
AnnieLuciani.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_acivs01-prog.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/acivs01-prog.pdf
Standish97a On an Efficient Implementation of Tierra
RussellKStandish.html
http___journal-ci.csse.monash.edu.au_ci_vol04_eff-tierra_eff-tierra.html http://journal-ci.csse.monash.edu.au/ci/vol04/eff-tierra/eff-tierra.html
Standish97b Embryology in Tierra: A study of a genotype to phenotype map
RussellKStandish.html
http___www.complexity.org.au_ci_vol04_eco-tierra_eco-tierra.html http://www.complexity.org.au/ci/vol04/eco-tierra/eco-tierra.html
Standish99a Some Techniques for the Measurement of Complexity in Tierra
RussellKStandish.html
http___parallel.hpc.unsw.edu.au_rks_docs_ps_tierra-complexity.ps.gz http://parallel.hpc.unsw.edu.au/rks/docs/ps/tierra-complexity.ps.gz
Standish02c Visualising Tierra's tree of life using Netmap
RussellKStandish.html
JohnGalloway.html
http___www.alife.org_alife8_workshops_23.pdf http://www.alife.org/alife8/workshops/23.pdf
Standish03a Open-ended artificial evolution
RussellKStandish.html
http___arxiv.org_PS_cache_nlin_pdf_0210_0210027.pdf http://arxiv.org/PS_cache/nlin/pdf/0210/0210027.pdf
http___arxiv.org_abs_nlin_0210027 http://arxiv.org/abs/nlin/0210027
http___dx.doi.org_10.1142_S1469026803000914 http://dx.doi.org/10.1142/S1469026803000914
Standish04b Tierra's missing neutrality: case solved
RussellKStandish.html
http___arxiv.org_PS_cache_nlin_pdf_0404_0404012.pdf http://arxiv.org/PS_cache/nlin/pdf/0404/0404012.pdf
http___arxiv.org_abs_nlin_0404012 http://arxiv.org/abs/nlin/0404012
standish:2004:ALwks The influence of parsimony and randomness on complexity growth in Tierra
RussellKStandish.html
http___parallel.hpc.unsw.edu.au_rks_docs_ps_random-tierra-complexity.ps.gz http://parallel.hpc.unsw.edu.au/rks/docs/ps/random-tierra-complexity.ps.gz
stanhope:1997:ivm-r An Individually Variable Mutation-Rate Strategy for Genetic Algorithms
StephenAStanhope.html
JasonMDaida.html
ftp___ftp.eecs.umich.edu_people_daida_papers_EP97mutation.pdf ftp://ftp.eecs.umich.edu/people/daida/papers/EP97mutation.pdf
http___dx.doi.org_10.1007_BFb0014815 http://dx.doi.org/10.1007/BFb0014815
Stanhope:1997:GPtciSAR Genetic Programming for Target Classification and Identification in Synthetic Aperture Radar Imagery
StephenAStanhope.html
JasonMDaida.html
stanhope:1998:GPatcrSARi Genetic Programming for Automatic Target Classification and Recognition in Synthetic Aperture Radar Imagery
StephenAStanhope.html
JasonMDaida.html
http___dx.doi.org_10.1007_BFb0040753 http://dx.doi.org/10.1007/BFb0040753
Stanislawska2012 Modeling global temperature changes with genetic programming
KarolinaStanislawska.html
KrzysztofKrawiec.html
ZbigniewWKundzewicz.html
http___dx.doi.org_10.1016_j.camwa.2012.02.049 http://dx.doi.org/10.1016/j.camwa.2012.02.049
http___www.sciencedirect.com_science_article_pii_S0898122112001745 http://www.sciencedirect.com/science/article/pii/S0898122112001745
Stanislawska:2015:GECCO Genetic Programming for Estimation of Heat Flux between the Atmosphere and Sea Ice in Polar Regions
KarolinaStanislawska.html
KrzysztofKrawiec.html
TimoVihma.html
http___doi.acm.org_10.1145_2739480.2754675 http://doi.acm.org/10.1145/2739480.2754675
http___dx.doi.org_10.1145_2739480.2754675 http://dx.doi.org/10.1145/2739480.2754675
Stanley:2019:NMI Designing neural networks through neuroevolution
KennethOStanley.html
JeffClune.html
JoelLehman.html
RistoMiikkulainen.html
https___www.nature.com_articles_s42256-018-0006-z_fbclid_IwAR0v_oJR499daqgqiKCAMa-LHWAoRYuaiTpOtHCws0Wmc6vcbe5Qx6Yjils https://www.nature.com/articles/s42256-018-0006-z?fbclid=IwAR0v_oJR499daqgqiKCAMa-LHWAoRYuaiTpOtHCws0Wmc6vcbe5Qx6Yjils
http___dx.doi.org_10.1038_s42256-018-0006-z http://dx.doi.org/10.1038/s42256-018-0006-z
stanovov:2021:Algorithms Difference-Based Mutation Operation for Neuroevolution of Augmented Topologies
VladimirStanovov.html
ShakhnazAkhmedova.html
EugeneSemenkin.html
https___www.mdpi.com_1999-4893_14_5_127 https://www.mdpi.com/1999-4893/14/5/127
http___dx.doi.org_10.3390_a14050127 http://dx.doi.org/10.3390/a14050127
STANOVOV:2022:KBS The automatic design of parameter adaptation techniques for differential evolution with genetic programming
VladimirStanovov.html
ShakhnazAkhmedova.html
EugeneSemenkin.html
http___dx.doi.org_10.1016_j.knosys.2021.108070 http://dx.doi.org/10.1016/j.knosys.2021.108070
https___www.sciencedirect.com_science_article_pii_S0950705121011461 https://www.sciencedirect.com/science/article/pii/S0950705121011461
stanovov:2023:ECADA Genetic Programming for Automatic Design of Parameter Adaptation in Dual-Population Differential Evolution
VladimirStanovov.html
EugeneSemenkin.html
http___dx.doi.org_10.1145_3583133.3596310 http://dx.doi.org/10.1145/3583133.3596310
Stapleton:2021:CEC Semantic Neighborhood Ordering in Multi-objective Genetic Programming based on Decomposition
FergalStapleton.html
EdgarGalvanLopez.html
http___dx.doi.org_10.1109_CEC45853.2021.9504860 http://dx.doi.org/10.1109/CEC45853.2021.9504860
Starkel:2015:NT Steel Machinability Modelling with Genetic Programming
SebastjanStarkel.html
PrimozGajsek.html
MihaKovacic.html
http___www.icnt.robotika.ba_ http://www.icnt.robotika.ba/
http___www.icnt.robotika.ba_download_proceedings.pdf http://www.icnt.robotika.ba/download/proceedings.pdf
2013StasinakisPhD Applications of hybrid neural networks and genetic programming in financial forecasting
CharalamposStasinakis.html
http___theses.gla.ac.uk_4921_1_2013StasinakisPhD.pdf http://theses.gla.ac.uk/4921/1/2013StasinakisPhD.pdf
http___theses.gla.ac.uk_4921_ http://theses.gla.ac.uk/4921/
Staunton:2010:ICSTW Searching for Safety Violations Using Estimation of Distribution Algorithms
JanStaunton.html
JohnAClark.html
http___dx.doi.org_10.1109_ICSTW.2010.24 http://dx.doi.org/10.1109/ICSTW.2010.24
Staunton:2011:GECCO Finding short counterexamples in promela models using estimation of distribution algorithms
JanStaunton.html
JohnAClark.html
http___dx.doi.org_10.1145_2001576.2001834 http://dx.doi.org/10.1145/2001576.2001834
Staunton:2011:SSBSE Applications of Model Reuse When Using Estimation of Distribution Algorithms to Test Concurrent Software
JanStaunton.html
JohnAClark.html
http___dx.doi.org_10.1007_978-3-642-23716-4_12 http://dx.doi.org/10.1007/978-3-642-23716-4_12
Staunton:thesis Using Estimation of Distribution Algorithms to Detect Concurrent Faults
JanStaunton.html
http___etheses.whiterose.ac.uk_2874_1_thesis-actuallyactuallyfinal-20121019-1306.pdf http://etheses.whiterose.ac.uk/2874/1/thesis-actuallyactuallyfinal-20121019-1306.pdf
http___etheses.whiterose.ac.uk_2874_ http://etheses.whiterose.ac.uk/2874/
Stayton:2016:ieeeTechSoc Rise of the Robots [Book Reviews]
EStayton.html
http___dx.doi.org_10.1109_MTS.2016.2554705 http://dx.doi.org/10.1109/MTS.2016.2554705
doi:10.1142/S0129183195000708 Genetic Algorithms and Object-Oriented Programming
Willi-HansSteeb.html
FSolms.html
TanKiatShi.html
http___dx.doi.org_10.1142_S0129183195000708 http://dx.doi.org/10.1142/S0129183195000708
https___doi.org_10.1142_S0129183195000708 https://doi.org/10.1142/S0129183195000708
steeb05a Bell-CHSH Inequality and Genetic Algorithms
Willi-HansSteeb.html
YorickHardy.html
RuediStoop.html
https___www.degruyter.com_downloadpdf_j_zna.2005.60.issue-11-12_zna-2005-11-1218_zna-2005-11-1218.pdf https://www.degruyter.com/downloadpdf/j/zna.2005.60.issue-11-12/zna-2005-11-1218/zna-2005-11-1218.pdf
http___dx.doi.org_10.1515_zna-2005-11-1218 http://dx.doi.org/10.1515/zna-2005-11-1218
http___dx.doi.org_10.1515_zna-2005-11-1218 http://dx.doi.org/10.1515/zna-2005-11-1218
steeb06 Maximum Entropy Formalism and Genetic Algorithms
Willi-HansSteeb.html
https___www.degruyter.com_downloadpdf_j_zna.2006.61.issue-10-11_zna-2006-10-1106_zna-2006-10-1106.pdf https://www.degruyter.com/downloadpdf/j/zna.2006.61.issue-10-11/zna-2006-10-1106/zna-2006-10-1106.pdf
http___dx.doi.org_10.1515_zna-2006-10-1106 http://dx.doi.org/10.1515/zna-2006-10-1106
http___dx.doi.org_10.1515_zna-2006-10-1106 http://dx.doi.org/10.1515/zna-2006-10-1106
oai:CiteSeerPSU:455434 Evolution and Evaluation of Document Retrieval Queries
RobertSteele.html
DavidMWPowers.html
http___www.cnts.ua.ac.be_conll98_pdf_163164st.pdf http://www.cnts.ua.ac.be/conll98/pdf/163164st.pdf
http___acl.ldc.upenn.edu_W_W98_W98-1220.pdf http://acl.ldc.upenn.edu/W/W98/W98-1220.pdf
http___citeseer.ist.psu.edu_455434.html http://citeseer.ist.psu.edu/455434.html
icga93-gp:stefanski Genetic Programming Using Abstract Syntax Trees
PawelAStefanski.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_ftp.io.com_papers_ICGA-93-GP-Abstracts.ps.Z http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/ftp.io.com/papers/ICGA-93-GP-Abstracts.ps.Z
oai:xtcat.oclc.org:OCLCNo/ocm46917449 A performance comparison of tree-based genetic programming versus stack-based genetic programming using the Java virtual machine
RobertJSteinhoff.html
https___gscisweb.scis.nova.edu_dlist_webview.cfm https://gscisweb.scis.nova.edu/dlist/webview.cfm
http___www.worldcat.org_title_performance-comparison-of-tree-based-genetic-programming-versus-stack-based-genetic-programming-using-the-java-virtual-machine_oclc_46917449 http://www.worldcat.org/title/performance-comparison-of-tree-based-genetic-programming-versus-stack-based-genetic-programming-using-the-java-virtual-machine/oclc/46917449
http___search.proquest.com_docview_304679341 http://search.proquest.com/docview/304679341
Stepanek:2012:PSBS Application of Genetic Algorithms in Stock Market Simulation
JiriStepanek.html
JiriStovicek.html
RichardCimler.html
http___dx.doi.org_10.1016_j.sbspro.2012.06.619 http://dx.doi.org/10.1016/j.sbspro.2012.06.619
http___www.sciencedirect.com_science_article_pii_S1877042812023555 http://www.sciencedirect.com/science/article/pii/S1877042812023555
Stephens:2002:gecco Exact Results From A Coarse Grained Formulation Of The Dynamics Of Variable-length Genetic Algorithms
ChristopherRStephens.html
RiccardoPoli.html
AldenHWright.html
JonathanERowe.html
http___gpbib.cs.ucl.ac.uk_gecco2002_GA173.ps http://gpbib.cs.ucl.ac.uk/gecco2002/GA173.ps
http___gpbib.cs.ucl.ac.uk_gecco2002_GA173.pdf http://gpbib.cs.ucl.ac.uk/gecco2002/GA173.pdf
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_gecco2002_gecco-2002-11.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/gecco2002/gecco-2002-11.pdf
stephens04:_ec_theor EC Theory -- ``In Theory'': Towards a Unification of Evolutionary Computation Theory
ChristopherRStephens.html
RiccardoPoli.html
http___cswww.essex.ac.uk_staff_rpoli_papers_ECtheoryintheory2004.pdf http://cswww.essex.ac.uk/staff/rpoli/papers/ECtheoryintheory2004.pdf
http___dx.doi.org_10.1007_1-4020-7782-3_7 http://dx.doi.org/10.1007/1-4020-7782-3_7
eurogp:StephensNR05 Zero Is not a Four Letter Word: Studies in the Evolution of Language
ChristopherRStephens.html
MiguelNicolau.html
ConorRyan.html
http___dx.doi.org_10.1007_978-3-540-31989-4_34 http://dx.doi.org/10.1007/978-3-540-31989-4_34
http___dx.doi.org_10.1007_b107383 http://dx.doi.org/10.1007/b107383
stephenson03 Genetic Programming Applied to Compiler Heuristic Optimization
MarkStephenson.html
Una-MayO'Reilly.html
MartinCMartin.html
SamanAmarasinghe.html
http___www.martincmartin.com_papers_GPApppliedToCompilerHeuristicOptimizationStephenson.pdf http://www.martincmartin.com/papers/GPApppliedToCompilerHeuristicOptimizationStephenson.pdf
http___www.cag.lcs.mit.edu_metaopt_papers_metaopt-euro-gp.ps http://www.cag.lcs.mit.edu/metaopt/papers/metaopt-euro-gp.ps
http___citeseer.ist.psu.edu_574999.html http://citeseer.ist.psu.edu/574999.html
http___citeseer.ist.psu.edu_569364.html http://citeseer.ist.psu.edu/569364.html
http___dx.doi.org_10.1007_3-540-36599-0_22 http://dx.doi.org/10.1007/3-540-36599-0_22
StephensonAMO03 Meta optimization: improving compiler heuristics with machine learning
MarkStephenson.html
SamanAmarasinghe.html
MartinCMartin.html
Una-MayO'Reilly.html
http___groups.csail.mit.edu_commit_papers_03_metaopt-pldi.pdf http://groups.csail.mit.edu/commit/papers/03/metaopt-pldi.pdf
http___dx.doi.org_10.1145_781131.781141 http://dx.doi.org/10.1145/781131.781141
Stephenson:thesis Automating the Construction of Compiler Heuristics Using Machine Learning
MarkStephenson.html
http___www.cag.csail.mit.edu__mstephen_stephenson_phdthesis.pdf http://www.cag.csail.mit.edu/~mstephen/stephenson_phdthesis.pdf
SS-EvoQP-06 Evolving Quantum Programs and Protocols
SusanStepney.html
JohnAClark.html
http___www.worldcat.org_title_handbook-of-theoretical-and-computational-nanotechnology_oclc_636117368 http://www.worldcat.org/title/handbook-of-theoretical-and-computational-nanotechnology/oclc/636117368
http___www-users.cs.york.ac.uk_susan_bib_ss_nonstd_gqprev05.pdf http://www-users.cs.york.ac.uk/susan/bib/ss/nonstd/gqprev05.pdf
Stepney:2008:jCTNS Searching for Quantum Programs and Quantum Protocols
SusanStepney.html
JohnAClark.html
http___www-users.cs.york.ac.uk_susan_bib_ss_nonstd_jctn-08.pdf http://www-users.cs.york.ac.uk/susan/bib/ss/nonstd/jctn-08.pdf
http___dx.doi.org_10.1166_jctn.2008.2535 http://dx.doi.org/10.1166/jctn.2008.2535
http___www.ingentaconnect.com_content_asp_jctn_2008_00000005_00000005_art00006 http://www.ingentaconnect.com/content/asp/jctn/2008/00000005/00000005/art00006
miller60book Inspired by Nature: Essays Presented to Julian F. Miller on the Occasion of his 60th Birthday
SusanStepney.html
AndrewAdamatzky.html
http___dx.doi.org_10.1007_978-3-319-67997-6 http://dx.doi.org/10.1007/978-3-319-67997-6
Stepney:JFM_obituary Julian Francis Miller, 1955--2022
SusanStepney.html
AlanDorin.html
http___dx.doi.org_10.1162_artl_a_00371 http://dx.doi.org/10.1162/artl_a_00371
Stepney:2022:GPTP Life as a Cyber-Bio-Physical System
SusanStepney.html
http___dx.doi.org_10.1007_978-981-19-8460-0_8 http://dx.doi.org/10.1007/978-981-19-8460-0_8
sterling:1998:bccc:hpppp Beowulf-class Clustered Computing: Harnessing the Power of Parallelism in a Pile of PCs
ThomasSterling.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_sterling_1998_bccc_hpppp.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/sterling_1998_bccc_hpppp.pdf
1068281 Exploiting disruption aversion to control code bloat
JasonStevens.html
RobertBHeckendorn.html
TerenceSoule.html
http___gpbib.cs.ucl.ac.uk_gecco2005_docs_p1605.pdf http://gpbib.cs.ucl.ac.uk/gecco2005/docs/p1605.pdf
http___dx.doi.org_10.1145_1068009.1068281 http://dx.doi.org/10.1145/1068009.1068281
stevenson:2023:GECCOcomp The Struggle for Existence: Time, Memory and Bloat
JohnStevenson.html
http___dx.doi.org_10.1145_3583133.3590725 http://dx.doi.org/10.1145/3583133.3590725
Stevenson:2009:science Robot Inventors: Patently Impossible?
RobertWStevenson.html
JosephFMurphy.html
ThomasJClare.html
http___dx.doi.org_10.1126_science.324_1014a http://dx.doi.org/10.1126/science.324_1014a
Stiffelman:1997:edrGPGA The Evolution of Data Representation Through Genetic Programming and Genetic Algorithms
OscarStiffelman.html
Stijven:2011:GECCOcomp Separating the wheat from the chaff: on feature selection and feature importance in regression random forests and symbolic regression
SeanStijven.html
WouterMinnebo.html
Ekaterina_Katya_Vladislavleva.html
http___dx.doi.org_10.1145_2001858.2002059 http://dx.doi.org/10.1145/2001858.2002059
Stijven:2013:GPTP Optimizing a Cloud Contract Portfolio Using Genetic Programming-Based Load Models
SeanStijven.html
RubenVandenBossche.html
Ekaterina_Katya_Vladislavleva.html
KurtVanmechelen.html
JanBroeckhove.html
MarkKotanchek.html
http___dx.doi.org_10.1007_978-1-4939-0375-7_3 http://dx.doi.org/10.1007/978-1-4939-0375-7_3
Stijven:2015:GPTP Prime-Time: Symbolic Regression Takes its Place in Industrial Analysis
SeanStijven.html
Ekaterina_Katya_Vladislavleva.html
ArthurKKordon.html
MarkKotanchek.html
http___www.springer.com_us_book_9783319342214 http://www.springer.com/us/book/9783319342214
http___dx.doi.org_10.1007_978-3-319-34223-8_14 http://dx.doi.org/10.1007/978-3-319-34223-8_14
stillger:1996:tr Parallel Query Optimization: Exploiting Bushy and Pipeline Parallelism with Genetic Programs
MichaelStillger.html
MyraSpiliopoulou.html
Johann-ChristophFreytag.html
http___www.dbis.informatik.hu-berlin.de_fileadmin_research_papers_techreports_1996-hub_ib_65-stillger.ps.gz http://www.dbis.informatik.hu-berlin.de/fileadmin/research/papers/techreports/1996-hub_ib_65-stillger.ps.gz
http___citeseer.ist.psu.edu_stillger96parallel.html http://citeseer.ist.psu.edu/stillger96parallel.html
stilger:1996:GPdbqo Genetic Programming in Database Query Optimization
MichaelStillger.html
MyraSpiliopoulou.html
http___www.dbis.informatik.hu-berlin.de_fileadmin_research_papers_conferences_1996-gp-stillger.ps http://www.dbis.informatik.hu-berlin.de/fileadmin/research/papers/conferences/1996-gp-stillger.ps
http___citeseer.ist.psu.edu_stillger96genetic.html http://citeseer.ist.psu.edu/stillger96genetic.html
http___cognet.mit.edu_sites_default_files_books_9780262315876_pdfs_9780262315876_chap53.pdf http://cognet.mit.edu/sites/default/files/books/9780262315876/pdfs/9780262315876_chap53.pdf
http___cognet.mit.edu_library_books_view_isbn_0262611279 http://cognet.mit.edu/library/books/view?isbn=0262611279
stillger:thesis AQuES - ein flexibles, verteiltes System zur Optimierung und Auswertung relationaler Anfragen
MichaelStillger.html
http___edoc.hu-berlin.de_abstract.php3_dissertationen_stillger-michael-2000-01-21 http://edoc.hu-berlin.de/abstract.php3/dissertationen/stillger-michael-2000-01-21
http___dochost.rz.hu-berlin.de_dissertationen_stillger-michael-2000-01-21_ http://dochost.rz.hu-berlin.de/dissertationen/stillger-michael-2000-01-21/
http___edoc.hu-berlin.de_dissertationen_stillger-michael-2000-01-21_PDF_Stillger.pdf http://edoc.hu-berlin.de/dissertationen/stillger-michael-2000-01-21/PDF/Stillger.pdf
journals/corr/abs-1102-2559 Toward Measuring the Scaling of Genetic Programming
MikeStimpson.html
http___arxiv.org_abs_1102.2559 http://arxiv.org/abs/1102.2559
Stimpson:2011a:arxiv Evolving a New Feature for a Working Program
MikeStimpson.html
http___arxiv.org_abs_1104.0283 http://arxiv.org/abs/1104.0283
oai:wo.uvt.nl:193400 Meta-modeling by symbolic regression and Pareto simulated annealing
ErwinStinstra.html
GijsRennen.html
GeertTeeuwen.html
http___greywww.kub.nl_2080_greyfiles_center_2006_doc_15.pdf http://greywww.kub.nl:2080/greyfiles/center/2006/doc/15.pdf
http___dbiref.uvt.nl_iPort_request_full_record__db_wo__language_eng__query_193400 http://dbiref.uvt.nl/iPort?request=full_record\&db=wo\&language=eng\&query=193400
Stinstra:thesis The Meta-Model Approach for Simulation-based Design Optimization
ErwinStinstra.html
http___center.uvt.nl_staff_hertog_PhDstudents_Stinstra-thesis.pdf http://center.uvt.nl/staff/hertog/PhDstudents/Stinstra-thesis.pdf
https___pure.uvt.nl_portal_en_publications_the-metamodel-approach-for-simulationbased-design-optimization_28713f828a-4716-4a19-af00-e6f5e668a535_29.html https://pure.uvt.nl/portal/en/publications/the-metamodel-approach-for-simulationbased-design-optimization%28713f828a-4716-4a19-af00-e6f5e668a535%29.html
stoffel:1996:hpsbGP High-Performance, Parallel, Stack-Based Genetic Programming
KilianStoffel.html
LeeSpector.html
http___helios.hampshire.edu_lspector_pubs_HiGP-gp96-e.pdf http://helios.hampshire.edu/lspector/pubs/HiGP-gp96-e.pdf
http___cognet.mit.edu_sites_default_files_books_9780262315876_pdfs_9780262315876_chap27.pdf http://cognet.mit.edu/sites/default/files/books/9780262315876/pdfs/9780262315876_chap27.pdf
http___cognet.mit.edu_library_books_view_isbn_0262611279 http://cognet.mit.edu/library/books/view?isbn=0262611279
stoica:1999:GP3 Genetic Programming III: Darwinian Invention and Problem Solving
AdrianStoica.html
http___dx.doi.org_10.1109_TEVC.1999.788530 http://dx.doi.org/10.1109/TEVC.1999.788530
Stolk:2009:modsim Models in a Multi-Level Biochemical Network Regulating Pea Flowering
JacobStolk.html
JimHanan.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.526.2306 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.526.2306
http___www.mssanz.org.au_modsim09_C1_stolk_C1.pdf http://www.mssanz.org.au/modsim09/C1/stolk_C1.pdf
Stomeo:2006:CEC A Novel Genetic Algorithm for Evolvable Hardware
EmanueleStomeo.html
TatianaKalganova.html
CyrilleLambert.html
http___dx.doi.org_10.1109_CEC.2006.1688300 http://dx.doi.org/10.1109/CEC.2006.1688300
Stone:2018:evoApplications Automatic Generation of Constructive Heuristics for Multiple Types of Combinatorial Optimisation Problems with Grammatical Evolution and Geometric Graphs
ChristopherStone.html
EmmaHart.html
BenPaechter.html
http___dx.doi.org_10.1007_978-3-319-77538-8_40 http://dx.doi.org/10.1007/978-3-319-77538-8_40
DBLP:conf/ppsn/StoneHP18 On the Synthesis of Perturbative Heuristics for Multiple Combinatorial Optimisation Domains
ChristopherStone.html
EmmaHart.html
BenPaechter.html
http___dx.doi.org_10.1007_978-3-319-99253-2_14 http://dx.doi.org/10.1007/978-3-319-99253-2_14
https___dblp.org_rec_conf_ppsn_StoneHP18.bib https://dblp.org/rec/conf/ppsn/StoneHP18.bib
Stork:2019:evoapplications Improving NeuroEvolution Efficiency by Surrogate Model-Based Optimization with Phenotypic Distance Kernels
JoergStork.html
MartinZaefferer.html
ThomasBartz-Beielstein.html
http___dx.doi.org_10.1007_978-3-030-16692-2_34 http://dx.doi.org/10.1007/978-3-030-16692-2_34
Stork:2019:GECCO Surrogate Models for Enhancing the Efficiency of Neuroevolution in Reinforcement Learning
JoergStork.html
MartinZaefferer.html
ThomasBartz-Beielstein.html
GuszEiben.html
http___dx.doi.org_10.1145_3321707.3321829 http://dx.doi.org/10.1145/3321707.3321829
Stoutemyer:2013:notices Can the Eureqa Symbolic Regression Program, Computer Algebra, and Numerical Analysis Help Each Other?
DavidRStoutemyer.html
http___www.ams.org_notices_201306_ http://www.ams.org/notices/201306/
http___www.ams.org_notices_201306_rnoti-p713.pdf http://www.ams.org/notices/201306/rnoti-p713.pdf
http___arxiv.org_abs_1203.1023 http://arxiv.org/abs/1203.1023
http___dx.doi.org_10.1090_noti1000 http://dx.doi.org/10.1090/noti1000
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KaterynaStoyka.html
http___elea.unisa.it_8080_xmlui_handle_10556_4513 http://elea.unisa.it:8080/xmlui/handle/10556/4513
http___elea.unisa.it_jspui_bitstream_10556_4513_1_tesi_20di_20dottorato_20K._20Stoyka.pdf http://elea.unisa.it/jspui/bitstream/10556/4513/1/tesi%20di%20dottorato%20K.%20Stoyka.pdf
http___elea.unisa.it_jspui_bitstream_10556_4513_2_abstract_20in_20inglese_20K._20Stoyka.pdf http://elea.unisa.it/jspui/bitstream/10556/4513/2/abstract%20in%20inglese%20K.%20Stoyka.pdf
http___elea.unisa.it_jspui_bitstream_10556_4513_3_abstract_20in_20italiano_20K._20Stoyka.pdf http://elea.unisa.it/jspui/bitstream/10556/4513/3/abstract%20in%20italiano%20K.%20Stoyka.pdf
http___dx.doi.org_10.14273_unisa-2711 http://dx.doi.org/10.14273/unisa-2711
Stoyka:2019:ieeePE A Novel AC Power Loss Model for Ferrite Power Inductors
KaterynaStoyka.html
GiuliaDiCapua.html
NicolaFemia.html
http___dx.doi.org_10.1109_TPEL.2018.2848109 http://dx.doi.org/10.1109/TPEL.2018.2848109
Stoyka:2018:SMACD Behavioral Switching Loss Modeling of Inverter Modules
KaterynaStoyka.html
RicieriAkihitoPessinattiOhashi.html
NicolaFemia.html
http___dx.doi.org_10.1109_SMACD.2018.8434850 http://dx.doi.org/10.1109/SMACD.2018.8434850
STOYKA:2020:MCS Behavioral modeling of Wireless Power Transfer System coils
KaterynaStoyka.html
GennaroDiMambro.html
NicolaFemia.html
AntonioMaffucci.html
SalvatoreVentre.html
FabioVillone.html
http___dx.doi.org_10.1016_j.matcom.2020.01.004 http://dx.doi.org/10.1016/j.matcom.2020.01.004
http___www.sciencedirect.com_science_article_pii_S0378475420300057 http://www.sciencedirect.com/science/article/pii/S0378475420300057
Stoyka:2020:ISCAS Behavioral Models for the Analysis of Dynamic Wireless Charging Systems for Electrical Vehicles
KaterynaStoyka.html
GiuliaDiCapua.html
GennaroDiMambro.html
NicolaFemia.html
FabioFreschi.html
AntonioMaffucci.html
SalvatoreVentre.html
http___dx.doi.org_10.1109_ISCAS45731.2020.9180785 http://dx.doi.org/10.1109/ISCAS45731.2020.9180785
Strachan:2014:GECCOcomp Towards a quantum-inspired multi-gene linear genetic programming model
GuilhermeCesarioStrachan.html
AdrianoSoaresKoshiyama.html
DouglasMotaDias.html
MarleyMariaBernardesRebuzziVellasco.html
MarcoAurelioCavalcantiPacheco.html
http___doi.acm.org_10.1145_2598394.2598476 http://doi.acm.org/10.1145/2598394.2598476
http___dx.doi.org_10.1145_2598394.2598476 http://dx.doi.org/10.1145/2598394.2598476
Strachan:2014:BRACIS Quantum-Inspired Multi-gene Linear Genetic Programming Model for Regression Problems
GuilhermeCesarioStrachan.html
AdrianoSoaresKoshiyama.html
DouglasMotaDias.html
MarleyMariaBernardesRebuzziVellasco.html
MarcoAurelioCavalcantiPacheco.html
http___dx.doi.org_10.1109_BRACIS.2014.37 http://dx.doi.org/10.1109/BRACIS.2014.37
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HalJohnStrangeways.html
IvanKutiev.html
LjiljanaCander.html
StamatisKouris.html
VadimGherm.html
DiegoMarin.html
BenitoDeLaMorena.html
SEleriPryse.html
LoredanaPerrone.html
MarcoPietrella.html
StanimirStankov.html
LukaszTomasik.html
ErsinTulunay.html
YurdanurTulunay.html
NikolayZernov.html
BrunoZolesi.html
https___core.ac.uk_download_pdf_41149601.pdf https://core.ac.uk/download/pdf/41149601.pdf
http___www.annalsofgeophysics.eu_index.php_annals_article_view_4579 http://www.annalsofgeophysics.eu/index.php/annals/article/view/4579
http___dx.doi.org_10.4401_ag-4579 http://dx.doi.org/10.4401/ag-4579
streeter:masters Automated Discovery of Numerical Approximation Formulae Via Genetic Programming
MatthewJStreeter.html
http___www.wpi.edu_Pubs_ETD_Available_etd-0426101-231555_unrestricted_streeter.pdf http://www.wpi.edu/Pubs/ETD/Available/etd-0426101-231555/unrestricted/streeter.pdf
streeter:2001:gecco Automated Discovery of Numerical Approximation Formulae Via Genetic Programming
MatthewJStreeter.html
LeeABecker.html
http___gpbib.cs.ucl.ac.uk_gecco2001_d01.pdf http://gpbib.cs.ucl.ac.uk/gecco2001/d01.pdf
https___dl.acm.org_doi_10.5555_2955239.2955257 https://dl.acm.org/doi/10.5555/2955239.2955257
streeter:2001:tbsw Toward a Better Sine Wave
MatthewJStreeter.html
LeeABecker.html
http___www.cs.cmu.edu__matts_Research_mstreeter_gecco_2001_lb.pdf http://www.cs.cmu.edu/~matts/Research/mstreeter_gecco_2001_lb.pdf
streeter:2002:EuroGP Routine Duplication of Post-2000 Patented Inventions by Means of Genetic Programming
MatthewJStreeter.html
MartinAKeane.html
JohnKoza.html
http___www.genetic-programming.com_jkpdf_eurogp2002.pdf http://www.genetic-programming.com/jkpdf/eurogp2002.pdf
http___citeseer.ist.psu.edu_584277.html http://citeseer.ist.psu.edu/584277.html
http___dx.doi.org_10.1007_3-540-45984-7_3 http://dx.doi.org/10.1007/3-540-45984-7_3
streeter:2002:gecco Iterative Refinement Of Computational Circuits Using Genetic Programming
MatthewJStreeter.html
MartinAKeane.html
JohnKoza.html
http___gpbib.cs.ucl.ac.uk_gecco2002_GP207.pdf http://gpbib.cs.ucl.ac.uk/gecco2002/GP207.pdf
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_gecco2002_gecco-2002-14.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/gecco2002/gecco-2002-14.pdf
Keane:2002:eh Automatic Synthesis Using Genetic Programming of an Improved General-Purpose Controller for Industrially Representative Plants
MartinAKeane.html
JohnKoza.html
MatthewJStreeter.html
http___dx.doi.org_10.1109_EH.2002.1029873 http://dx.doi.org/10.1109/EH.2002.1029873
streeter03 The Root Causes of Code Growth in Genetic Programming
MatthewJStreeter.html
http___www.cs.cmu.edu__matts_Research_mstreeter_eurogp_2003.pdf http://www.cs.cmu.edu/~matts/Research/mstreeter_eurogp_2003.pdf
http___dx.doi.org_10.1007_3-540-36599-0_42 http://dx.doi.org/10.1007/3-540-36599-0_42
streeter:2003:GPEM Automated Discovery of Numerical Approximation Formulae via Genetic Programming
MatthewJStreeter.html
LeeABecker.html
http___dx.doi.org_10.1023_A_1025176407779 http://dx.doi.org/10.1023/A:1025176407779
Streeter:2003:ICSSPC Automatic synthesis using genetic programming of improved PID tuning rules
MatthewJStreeter.html
MartinAKeane.html
JohnKoza.html
http___www.genetic-programming.com_jkpdf_icons2003.pdf http://www.genetic-programming.com/jkpdf/icons2003.pdf
Streeter:2003:CAODS Use of genetic programming for automatic synthesis of post-2000 patented analog electrical circuits and patentable controllers
MatthewJStreeter.html
JohnKoza.html
MartinAKeane.html
http___www.genetic-programming.com_jkpdf_opti2003.pdf http://www.genetic-programming.com/jkpdf/opti2003.pdf
streeter:2003:SSMSD Routine human-competitive Automatic Synthesis using genetic programming of both the topology and sizing for five post-2000 patented analog and mixed analog-digital circuits
MatthewJStreeter.html
MartinAKeane.html
JohnKoza.html
http___www.genetic-programming.com_jkpdf_ssmsd2003.pdf http://www.genetic-programming.com/jkpdf/ssmsd2003.pdf
streichert:cgp:gecco2004 Comparing Genetic Programming and Evolution Strategies on Inferring Gene Regulatory Networks
FelixStreichert.html
HannesPlanatscher.html
ChristianSpieth.html
HolgerUlmer.html
AndreasZell.html
http___dx.doi.org_10.1007_b98643 http://dx.doi.org/10.1007/b98643
http___www-ra.informatik.uni-tuebingen.de_publikationen_2004_streichert04comparing.pdf http://www-ra.informatik.uni-tuebingen.de/publikationen/2004/streichert04comparing.pdf
CS-TR-04-01 Bloat is Unnatural: An Analysis of Changes in Variable Chromosome Length Absent Selection Pressure
HalStringer.html
AnnieSWu.html
http___www.cs.ucf.edu__ecl_papers_cs-tr-04-01.pdf http://www.cs.ucf.edu/~ecl/papers/cs-tr-04-01.pdf
Stringer:WWf:gecco2004 Winnowing Wheat from Chaff: The Chunking GA
HalStringer.html
AnnieSWu.html
http___dx.doi.org_10.1007_b98645 http://dx.doi.org/10.1007/b98645
http___link.springer.de_link_service_series_0558_bibs_3103_31030198.htm http://link.springer.de/link/service/series/0558/bibs/3103/31030198.htm
http___link.springer.de_link_service_series_0558_papers_3103_31030198.pdf http://link.springer.de/link/service/series/0558/papers/3103/31030198.pdf
Styrud:2022:ICRA Combining Planning and Learning of Behavior Trees for Robotic Assembly
JonathanStyrud.html
MatteoIovino.html
MikaelNorrloef.html
MartenBjoerkman.html
ChristianSmith.html
http___dx.doi.org_10.1109_ICRA46639.2022.9812086 http://dx.doi.org/10.1109/ICRA46639.2022.9812086
Su:2019:EITCE Automatic detection method for iced transmission lines under complex background
BeibeiSu.html
GangXu.html
http___dx.doi.org_10.1109_EITCE47263.2019.9095127 http://dx.doi.org/10.1109/EITCE47263.2019.9095127
Su2003 A Host-Based Anomaly Intrusion Detection Model Based on Genetic Programming
Pu-RuiSu.html
De-QuanLi.html
Deng-GuoFeng.html
http___www.jos.org.cn_1000-9825_14_1120.htm http://www.jos.org.cn/1000-9825/14/1120.htm
http___www.jos.org.cn_1000-9825_14_1120.pdf http://www.jos.org.cn/1000-9825/14/1120.pdf
QinghuaSu:2011:CIEA Simulation of high resolution lunar's Sinus Iridum terrain
QinghuaSu.html
ZhaoYan.html
FalinWu.html
ChunmingXie.html
YanlongChu.html
http___dx.doi.org_10.1109_ICIEA.2011.5976030 http://dx.doi.org/10.1109/ICIEA.2011.5976030
SU:2021:ATE Multi-objective design optimization of battery thermal management system for electric vehicles
ShaosenSu.html
WeiLi.html
YongshengLi.html
AkhilGarg.html
LiangGao.html
QuanZhou.html
https___www.sciencedirect.com_science_article_pii_S1359431121006736 https://www.sciencedirect.com/science/article/pii/S1359431121006736
http___dx.doi.org_10.1016_j.applthermaleng.2021.117235 http://dx.doi.org/10.1016/j.applthermaleng.2021.117235
Su:2019:Neuro-Oncology Automated machine learning based on radiomics features predicts H3 K27M mutation in midline gliomas of the brain
XiaoruiSu.html
NiChen.html
HuaiqiangSun.html
YanhuiLiu.html
XibiaoYang.html
WeinaWang.html
SiminZhang.html
QiaoyueTan.html
JingkaiSu.html
QiyongGong.html
QiangYue.html
https___doi.org_10.1093_neuonc_noz184 https://doi.org/10.1093/neuonc/noz184
https___academic.oup.com_neuro-oncology_article-pdf_22_3_393_32794818_noz184.pdf https://academic.oup.com/neuro-oncology/article-pdf/22/3/393/32794818/noz184.pdf
http___dx.doi.org_10.1093_neuonc_noz184 http://dx.doi.org/10.1093/neuonc/noz184
Suarez:gecco05ws Evolving Object Oriented Agent Programs in Robocup Domain
DavidEnriqueSuarez.html
JulianYezidOlarte.html
SergioAndresRojas.html
http___gpbib.cs.ucl.ac.uk_gecco2005wks_papers_0407.pdf http://gpbib.cs.ucl.ac.uk/gecco2005wks/papers/0407.pdf
Suarez:2014:ROPEC Genetic programming as a feature selection algorithm
RanyartRodrigoSuarez.html
JoseMariaValencia-Ramirez.html
MarioGraffGuerrero.html
http___dx.doi.org_10.1109_ROPEC.2014.7036345 http://dx.doi.org/10.1109/ROPEC.2014.7036345
suarez-tangil:2009:CISIS Automatic Rule Generation Based on Genetic Programming for Event Correlation
GuillermoNicolasSuarezdeTangilRotaeche.html
EstherPalomarGonzalez.html
JoseMariaDeFuentesGarcia-RomerodeTejada.html
JorgeBlascoAlis.html
DArturoRibagordaGarnacho.html
http___link.springer.com_chapter_10.1007_978-3-642-04091-7_16 http://link.springer.com/chapter/10.1007/978-3-642-04091-7_16
http___dx.doi.org_10.1007_978-3-642-04091-7_16 http://dx.doi.org/10.1007/978-3-642-04091-7_16
SuarezTangil:2013:IF Providing SIEM systems with self-adaptation
GuillermoNicolasSuarezdeTangilRotaeche.html
EstherPalomarGonzalez.html
DArturoRibagordaGarnacho.html
IvanSanz.html
http___dx.doi.org_10.1016_j.inffus.2013.04.009 http://dx.doi.org/10.1016/j.inffus.2013.04.009
http___www.sciencedirect.com_science_article_pii_S1566253513000535 http://www.sciencedirect.com/science/article/pii/S1566253513000535
1144285 Designing safe, profitable automated stock trading agents using evolutionary algorithms
HarishKSubramanian.html
SubramanianRamamoorthy.html
PeterStone.html
BenjaminJKuipers.html
http___gpbib.cs.ucl.ac.uk_gecco2006_docs_p1777.pdf http://gpbib.cs.ucl.ac.uk/gecco2006/docs/p1777.pdf
http___dx.doi.org_10.1145_1143997.1144285 http://dx.doi.org/10.1145/1143997.1144285
SUBRAMANIAN:2021:MLA White-box Machine learning approaches to identify governing equations for overall dynamics of manufacturing systems: A case study on distillation column
RenganathanSubramanian.html
RaghavRajeshMoar.html
ShwetaSingh.html
http___dx.doi.org_10.1016_j.mlwa.2020.100014 http://dx.doi.org/10.1016/j.mlwa.2020.100014
https___www.sciencedirect.com_science_article_pii_S2666827020300141 https://www.sciencedirect.com/science/article/pii/S2666827020300141
Suchoparova:2020:SSCI Genens: An AutoML System for Ensemble Optimization Based on Developmental Genetic Programming
GabrielaSuchoparova.html
RomanNeruda.html
http___dx.doi.org_10.1109_SSCI47803.2020.9308582 http://dx.doi.org/10.1109/SSCI47803.2020.9308582
conf/icaisc/Suchorzewski10 Extending Genetic Programming to Evolve Perceptron-Like Learning Programs
MarcinSuchorzewski.html
http___dx.doi.org_10.1007_978-3-642-13232-2 http://dx.doi.org/10.1007/978-3-642-13232-2
http___dx.doi.org_10.1007_978-3-642-13232-2_27 http://dx.doi.org/10.1007/978-3-642-13232-2_27
Praca_dokt.M.Suchorzewski Ewolucyjna metoda syntezy skalowalnych i modularnych sieci obliczeniowych
MarcinSuchorzewski.html
https___www.wi.zut.edu.pl_pl_wydzial_procedury_przewody-doktorskie https://www.wi.zut.edu.pl/pl/wydzial/procedury/przewody-doktorskie
https___zbc.ksiaznica.szczecin.pl_dlibra_publication_22169_edition_21104 https://zbc.ksiaznica.szczecin.pl/dlibra/publication/22169/edition/21104
https___zbc.ksiaznica.szczecin.pl_dlibra_publication_22169_edition_21104_content_ref_desc https://zbc.ksiaznica.szczecin.pl/dlibra/publication/22169/edition/21104/content?ref=desc
https___zbc.ksiaznica.szczecin.pl_Content_21104_Praca_dokt.M.Suchorzewski.pdf https://zbc.ksiaznica.szczecin.pl/Content/21104/Praca_dokt.M.Suchorzewski.pdf
https___zbc.ksiaznica.szczecin.pl_Content_21104_zip_ https://zbc.ksiaznica.szczecin.pl/Content/21104/zip/
eurogp:SuchyK05 Inducing Diverse Decision Forests with Genetic Programming
JanSuchy.html
JiriKubalik.html
http___ida.felk.cvut.cz_cgi-bin_docarc_public.pl_document_6_suchy05eurogp.pdf http://ida.felk.cvut.cz/cgi-bin/docarc/public.pl/document/6/suchy05eurogp.pdf
http___dx.doi.org_10.1007_978-3-540-31989-4_27 http://dx.doi.org/10.1007/978-3-540-31989-4_27
http___dx.doi.org_10.1007_b107383 http://dx.doi.org/10.1007/b107383
Sugak:2015:IDAACS Models of the mutation and immunity in test behavioral evolution
AnnaSSugak.html
AlexanderNMartynyuk.html
AlexValentineDrozd.html
http___dx.doi.org_10.1109_IDAACS.2015.7341411 http://dx.doi.org/10.1109/IDAACS.2015.7341411
Suganuma:2016:SMC Hierarchical feature construction for image classification using Genetic Programming
MasanoriSuganuma.html
DaikiTsuchiya.html
ShinichiShirakawa.html
TomoharuNagao.html
http___dx.doi.org_10.1109_SMC.2016.7844436 http://dx.doi.org/10.1109/SMC.2016.7844436
Suganuma:2017:GECCO A Genetic Programming Approach to Designing Convolutional Neural Network Architectures
MasanoriSuganuma.html
ShinichiShirakawa.html
TomoharuNagao.html
http___doi.acm.org_10.1145_3071178.3071229 http://doi.acm.org/10.1145/3071178.3071229
http___dx.doi.org_10.1145_3071178.3071229 http://dx.doi.org/10.1145/3071178.3071229
Suganuma:thesis A Study on Salient Event Detection in Videos
MasanoriSuganuma.html
https___dl.ndl.go.jp_info_ndljp_pid_10993906 https://dl.ndl.go.jp/info:ndljp/pid/10993906
https___ynu.repo.nii.ac.jp__action_repository_uri_item_id_8752_file_id_20_file_no_1 https://ynu.repo.nii.ac.jp/?action=repository_uri&item_id=8752&file_id=20&file_no=1
http___dx.doi.org_10.18880_00011427 http://dx.doi.org/10.18880/00011427
Suganuma:2018:IJCAI A Genetic Programming Approach to Designing Convolutional Neural Network Architectures
MasanoriSuganuma.html
ShinichiShirakawa.html
TomoharuNagao.html
http___dx.doi.org_10.24963_ijcai.2018_755 http://dx.doi.org/10.24963/ijcai.2018/755
https___doi.org_10.24963_ijcai.2018_755 https://doi.org/10.24963/ijcai.2018/755
Suganuma:2019:EC Evolution of Deep Convolutional Neural Networks Using Cartesian Genetic Programming
MasanoriSuganuma.html
MasayukiKobayashi.html
ShinichiShirakawa.html
TomoharuNagao.html
https___www.mitpressjournals.org_doi_abs_10.1162_evco_a_00253 https://www.mitpressjournals.org/doi/abs/10.1162/evco_a_00253
http___dx.doi.org_10.1162_evco_a_00253 http://dx.doi.org/10.1162/evco_a_00253
Suganuma:2020:DNE Designing Convolutional Neural Network Architectures Using Cartesian Genetic Programming
MasanoriSuganuma.html
ShinichiShirakawa.html
TomoharuNagao.html
http___dx.doi.org_10.1007_978-981-15-3685-4_7 http://dx.doi.org/10.1007/978-981-15-3685-4_7
Sugimoto:2005:BS Reverse engineering of biochemical equations from time-course data by means of genetic programming
MasahiroSugimoto.html
ShinichiKikuchia.html
MasaruTomita.html
http___www.sciencedirect.com_science_article_B6T2K-4F1GRJF-1_2_747811cdd13163b25cfb0d65387ea133 http://www.sciencedirect.com/science/article/B6T2K-4F1GRJF-1/2/747811cdd13163b25cfb0d65387ea133
http___dx.doi.org_10.1016_j.biosystems.2004.11.003 http://dx.doi.org/10.1016/j.biosystems.2004.11.003
journals/ijcistudies/SugiuraNZK16 Grammatical evolution using two-dimensional gene for symbolic regression: an advanced improvement with conditional statement grammar
HideyukiSugiura.html
MasahiroNagao.html
YiZuo.html
EisukeKita.html
http___dx.doi.org_10.1504_IJCISTUDIES.2016.10004364 http://dx.doi.org/10.1504/IJCISTUDIES.2016.10004364
Sugiyama:1995:ersoeg Evolving Robot Strategy for Open ended Game
TomonoriSugiyama.html
TakashiKido.html
MasakazuNakanishi.html
http___dx.doi.org_10.1007_3-540-60154-6_57 http://dx.doi.org/10.1007/3-540-60154-6_57
Suh2009137 Sequential modeling of fecal coliform removals in a full-scale activated-sludge wastewater treatment plant using an evolutionary process model induction system
Chang-WonSuh.html
Joong-WonLee.html
Yoon-SeokHong.html
Hang-SikShin.html
http___dx.doi.org_10.1016_j.watres.2008.09.022 http://dx.doi.org/10.1016/j.watres.2008.09.022
http___www.sciencedirect.com_science_article_B6V73-4TK477C-C_2_16302307b5ee5c7add9e0e3897c452f7 http://www.sciencedirect.com/science/article/B6V73-4TK477C-C/2/16302307b5ee5c7add9e0e3897c452f7
Suh201180 Application of genetic programming to develop the model for estimating membrane damage in the membrane integrity test using fluorescent nanoparticle
Chang-WonSuh.html
ByeonggyuChoi.html
SeockheonLee.html
DooilKim.html
JinwooCho.html
http___dx.doi.org_10.1016_j.desal.2011.07.045 http://dx.doi.org/10.1016/j.desal.2011.07.045
http___www.sciencedirect.com_science_article_pii_S001191641100659X http://www.sciencedirect.com/science/article/pii/S001191641100659X
Suhas:IETEjr HsClone Genetic Algorithm Implementation on a Combinational Circuit
SSuhas.html
GayatriMalhotra.html
RajiniVHonnungar.html
https___www.tandfonline.com_doi_full_10.1080_03772063.2020.1867010 https://www.tandfonline.com/doi/full/10.1080/03772063.2020.1867010
http___dx.doi.org_10.1080_03772063.2020.1867010 http://dx.doi.org/10.1080/03772063.2020.1867010
sukalski:1999:DATTSUGP Developing Adaptive TCP Transmission Strategies Using Genetic Programming
MitchSukalski.html
oai:CiteSeerPSU:421290 Using non-determinism to improve robustness of robot programs generated by genetic programming
ThanutSukkarnjanonth.html
PrabhasChongstitvatana.html
http___citeseer.ist.psu.edu_421290.html http://citeseer.ist.psu.edu/421290.html
Suksen:2018:JCSSE Exploiting Building Blocks in Hard Problems with Modified Compact Genetic Algorithm
KamonlukSuksen.html
PrabhasChongstitvatana.html
http___dx.doi.org_10.1109_JCSSE.2018.8457386 http://dx.doi.org/10.1109/JCSSE.2018.8457386
Suleman:1997:masters Genetic Programming in Mathematica
HusseinSuleman.html
http___www.husseinsspace.com_publications_gpinmath.pdf http://www.husseinsspace.com/publications/gpinmath.pdf
1277292 Evolving kernels for support vector machine classification
KeithMSullivan.html
SeanLuke.html
http___gpbib.cs.ucl.ac.uk_gecco2007_docs_p1702.pdf http://gpbib.cs.ucl.ac.uk/gecco2007/docs/p1702.pdf
http___dx.doi.org_10.1145_1276958.1277292 http://dx.doi.org/10.1145/1276958.1277292
DBLP:journals/iajit/SultanTA19 Improving classification performance using genetic programming to evolve string kernels
RubaSultan.html
HashemTamimi.html
YaqoubAshhab.html
http___iajit.org_PDF_May_202019__20No._203_11570.pdf http://iajit.org/PDF/May%202019,%20No.%203/11570.pdf
https___dblp.org_rec_journals_iajit_SultanTA19.bib https://dblp.org/rec/journals/iajit/SultanTA19.bib
Sulyok:NC Evolving the process of a virtual composer
CsabaSulyok.html
AndrewMcPherson.html
ChristopherHarte.html
https___qmro.qmul.ac.uk_xmlui_bitstream_handle_123456789_12837_Sulyok_20Evolving_20the_20process_20of_20a_20virtual_20composer_202016_20Accepted.pdf https://qmro.qmul.ac.uk/xmlui/bitstream/handle/123456789/12837/Sulyok%20Evolving%20the%20process%20of%20a%20virtual%20composer%202016%20Accepted.pdf
https___doi.org_10.1007_s11047-016-9561-6 https://doi.org/10.1007/s11047-016-9561-6
http___dx.doi.org_10.1007_s11047-016-9561-6 http://dx.doi.org/10.1007/s11047-016-9561-6
Sulyok:2018:SYNASC Genetic Operators in Evolutionary Music Composition
CsabaSulyok.html
http___dx.doi.org_10.1109_SYNASC.2018.00047 http://dx.doi.org/10.1109/SYNASC.2018.00047
Sulyok:2019:GECCO On the impact of domain-specific knowledge in evolutionary music composition
CsabaSulyok.html
ChristopherHarte.html
ZalanBodo.html
http___dx.doi.org_10.1145_3321707.3321710 http://dx.doi.org/10.1145/3321707.3321710
Sumino:2011:MHS Evolutionary approach of reward function for reinforcement learning using genetic programming
ShotaSumino.html
AtsukoMutoh.html
ShoheiKato.html
http___dx.doi.org_10.1109_MHS.2011.6102214 http://dx.doi.org/10.1109/MHS.2011.6102214
Sun:2014:WISA ERGP: A Combined Entity Resolution Approach with Genetic Programming
ChenchenSun.html
DerongShen.html
YueKou.html
TiezhengNie.html
GeYu.html
http___dx.doi.org_10.1109_WISA.2014.46 http://dx.doi.org/10.1109/WISA.2014.46
Sun:2019:CEC A Memetic Algorithm for Symbolic Regression
HaoyuanSun.html
PabloMoscato.html
http___dx.doi.org_10.1109_CEC.2019.8789889 http://dx.doi.org/10.1109/CEC.2019.8789889
sun:2013:CIMA Hybrid Approach of Genetic Programming and Quantum-Behaved Particle Swarm Optimization for Modeling and Optimization of Fermentation Processes
JunSun.html
VasilePalade.html
ZhenyuWang.html
XiaojunWu.html
http___link.springer.com_chapter_10.1007_978-3-642-36651-2_7 http://link.springer.com/chapter/10.1007/978-3-642-36651-2_7
http___dx.doi.org_10.1007_978-3-642-36651-2_7 http://dx.doi.org/10.1007/978-3-642-36651-2_7
Sun2008 An application of the genetic programming technique to strategy development
Koun-TemSun.html
Yi-ChunLin.html
Cheng-YenWu.html
Yueh-MinHuang.html
http___dx.doi.org_10.1016_j.eswa.2008.06.066 http://dx.doi.org/10.1016/j.eswa.2008.06.066
http___www.sciencedirect.com_science_article_B6V03-4SVC5K0-2_2_8fab65c2fe3f2eaddafa9b8f3ecb448e http://www.sciencedirect.com/science/article/B6V03-4SVC5K0-2/2/8fab65c2fe3f2eaddafa9b8f3ecb448e
sun:2007:IJRFMCAE Phase compensating dielectric lens design with genetic programming: Research Articles
LeiSun.html
EvorLHines.html
RogerJGreen.html
MarkSLeeson.html
DDacianaIliescu.html
http___dx.doi.org_10.1002_mmce.20244 http://dx.doi.org/10.1002/mmce.20244
Sun:2018:COMPSAC Improving Fitness Function for Language Fuzzing with PCFG Model
XiaoshanSun.html
YuFu.html
YunDong.html
ZhihaoLiu.html
YangZhang2.html
http___dx.doi.org_10.1109_COMPSAC.2018.00098 http://dx.doi.org/10.1109/COMPSAC.2018.00098
Sun:2009:ICIS Application research on genetic programming in the prediction of mining subsidence
Xue-yangSun.html
Yu-chengXia.html
Hui-minQi.html
LiangXiao.html
http___dx.doi.org_10.1109_ICICISYS.2009.5357941 http://dx.doi.org/10.1109/ICICISYS.2009.5357941
Sung:2008:JV Genotype-Specific Genomic Markers Associated with Primary Hepatomas, Based on Complete Genomic Sequencing of Hepatitis B Virus
JosephJYSung.html
StephenKWTsui.html
Chi-HangTse.html
EddieYTNg.html
Kwong-SakLeung.html
Kin-HongLee.html
TonySKMok.html
AngelineBartholomeusz.html
ThomasCCAu.html
KelvinKFTsoi.html
StephenLocarnini.html
HenryLYChan.html
http___dx.doi.org_10.1128_JVI.01197-07 http://dx.doi.org/10.1128/JVI.01197-07
Suo:2009:IITA-JCAI Gray Intensity Images Processing for PD Pattern Recognition Based on Genetic Programming
XuesongSuo.html
YuhongZhou.html
http___dx.doi.org_10.1109_JCAI.2009.74 http://dx.doi.org/10.1109/JCAI.2009.74
Supari:2009:ICICI-BME Genetic programming function representation for Fuzzy Polar speed controller of induction motor
Supari.html
DianRetnoSawitri.html
MauridhiHeryPurnomo.html
http___dx.doi.org_10.1109_ICICI-BME.2009.5417255 http://dx.doi.org/10.1109/ICICI-BME.2009.5417255
Suram:2015:ACS Generating Information-Rich High-Throughput Experimental Materials Genomes using Functional Clustering via Multitree Genetic Programming and Information Theory
SantoshKSuram.html
JoelAHaber.html
JianJin.html
JohnMGregoire.html
http___authors.library.caltech.edu_55626_2_co5001579_si_001.pdf http://authors.library.caltech.edu/55626/2/co5001579_si_001.pdf
http___dx.doi.org_10.1021_co5001579 http://dx.doi.org/10.1021/co5001579
Surkan:2002:eh Evolution of Quantum Algorithms for Computer of Reversible Operators
AlvinJSurkan.html
AmiranKhuskivadze.html
http___dx.doi.org_10.1109_EH.2002.1029884 http://dx.doi.org/10.1109/EH.2002.1029884
Suseela:2022:ICARCV A Comparative Study on Machine Learning algorithms for Knowledge Discovery
SiddeshSambasivamSuseela.html
YangFeng.html
KezhiMao.html
http___dx.doi.org_10.1109_ICARCV57592.2022.10004302 http://dx.doi.org/10.1109/ICARCV57592.2022.10004302
https___github.com_SiddeshSambasivam_A-Comparative-Study-on-SciML-for-KD https://github.com/SiddeshSambasivam/A-Comparative-Study-on-SciML-for-KD
Sushchenko:2021:ELIT Modeling Optimization Process in Design of Robust Systems
OSushchenko.html
YBezkorovainyi.html
OSalyuk.html
http___dx.doi.org_10.1109_ELIT53502.2021.9501147 http://dx.doi.org/10.1109/ELIT53502.2021.9501147
Suttasupa:2011:ICTKE A comparative study of linear encoding in Genetic Programming
YuttanaSuttasupa.html
SuppatRungraungsilp.html
SuwatPinyopan.html
PravitWungchusunti.html
PrabhasChongstitvatana.html
http___dx.doi.org_10.1109_ICTKE.2012.6152392 http://dx.doi.org/10.1109/ICTKE.2012.6152392
oai:CiteSeerPSU:441409 Improving the Robustness of Evolved Robot Arm Control Programs Generated by Genetic Programming
WorasaitSuwannik.html
PrabhasChongstitvatana.html
http___citeseer.ist.psu.edu_441409.html http://citeseer.ist.psu.edu/441409.html
Suzuki:2012:ieeeTBME Automatic Segmentation and Classification of Human Intestinal Parasites from Microscopy Images
CelsoTetsuoNagaseSuzuki.html
JancarloFerreiraGomes.html
AlexandreXFalcao.html
JoaoPauloPapa.html
SumieHoshino-Shimizu.html
http___dx.doi.org_10.1109_TBME.2012.2187204 http://dx.doi.org/10.1109/TBME.2012.2187204
Suzuki:1996:femvnc Functional Emergence with Multiple von Neumann Computers
HideakiSuzuki.html
http___www.nis.atr.jp__hsuzuki_papers_1997_ALifeV.ps.gz http://www.nis.atr.jp/~hsuzuki/papers/1997_ALifeV.ps.gz
suzuki:1997:mvnc Multiple von Neumann Computers: An Evolutionary Approach to Functional Emergence
HideakiSuzuki.html
http___www.nis.atr.jp__hsuzuki_papers_1997_AL.ps.gz http://www.nis.atr.jp/~hsuzuki/papers/1997_AL.ps.gz
suzuki:1999:AL An Approach to Biological Computation: Unicellular Core-Memory Creatures Evolved Using Genetic Algorithms
HikeakiSuzuki.html
http___ariel.ingentaselect.com_vl_1486189_cl_56_nw_1_fm_docpdf_rpsv_cw_mitpress_10645462_v5n4_s4_p367 http://ariel.ingentaselect.com/vl=1486189/cl=56/nw=1/fm=docpdf/rpsv/cw/mitpress/10645462/v5n4/s4/p367
http___dx.doi.org_10.1162_106454699568827 http://dx.doi.org/10.1162/106454699568827
Suzuki:thesis Design Optimization of Artificial Evolutionary Systems
HideakiSuzuki.html
http___www.nis.atr.jp__hsuzuki_papers_2004_Dissertation.pdf http://www.nis.atr.jp/~hsuzuki/papers/2004_Dissertation.pdf
Svac:2012:SPAWC Low-complexity detection for large MIMO systems using partial ML detection and genetic programming
PavolSvac.html
FlorianMeyer.html
ErwinRiegler.html
FranzHlawatsch.html
http___dx.doi.org_10.1109_SPAWC.2012.6292977 http://dx.doi.org/10.1109/SPAWC.2012.6292977
svangard:2002:estsugp Evolving Short-Term Trading Strategies Using Genetic Programming
NilsSvangard.html
StefanLloyd.html
PeterNordin.html
ClasWihlborg.html
http___dx.doi.org_10.1109_CEC.2002.1004551 http://dx.doi.org/10.1109/CEC.2002.1004551
svangard:2002:SEAL Parallell Evolution of Trading Strategies Based on Binary Classification Using Sub-Machine-Code Genetic Programming
NilsSvangard.html
PeterNordin.html
StefanLloyd.html
http___www.worldcat.org_title_seal02-proceedings-of-the-4th-asia-pacific-conference-on-simulated-evolution-and-learning-november-18-22-2002-orchid-country-club-singapore_oclc_51951214 http://www.worldcat.org/title/seal02-proceedings-of-the-4th-asia-pacific-conference-on-simulated-evolution-and-learning-november-18-22-2002-orchid-country-club-singapore/oclc/51951214
svangard:2003:CINC Generating Investment Policies for Nonlinear Portfolio Optimization with Genetic Programming
NilsSvangard.html
PeterNordin.html
svangard:2003:ugpwnppoefpo Using genetic programming with negative parsimony pressure on exons for portfolio optimization
NilsSvangard.html
PeterNordin.html
StefanLloyd.html
http___dx.doi.org_10.1109_CEC.2003.1299778 http://dx.doi.org/10.1109/CEC.2003.1299778
svangard:evows04 Automated Aesthetic Selection of Evolutionary Art by Distance Based Classification of Genomes and Phenomes using the Universal Similarity Metric
NilsSvangard.html
PeterNordin.html
http___dx.doi.org_10.1007_978-3-540-24653-4_46 http://dx.doi.org/10.1007/978-3-540-24653-4_46
Svec:2010:ESDA A Simulation Based Framework for Discovering Planning Logic for Autonomous Unmanned Surface Vehicles
PetrSvec.html
MaxSchwartz.html
AtulThakur.html
DavinderKAnand.html
SatyandraKGupta.html
http___dx.doi.org_10.1115_ESDA2010-24894 http://dx.doi.org/10.1115/ESDA2010-24894
Svenda:2009:WiSec Evolutionary design of secrecy amplification protocols for wireless sensor networks
PetrSvenda.html
LukasSekanina.html
Vashek_Vaclav_Matyas.html
http___dx.doi.org_10.1145_1514274.1514306 http://dx.doi.org/10.1145/1514274.1514306
Svingen:1997:GPppai GP++ An Introduction
BorgeSvingen.html
svingen:1997:uGPdc Using Genetic Programming for Document Classification
BorgeSvingen.html
svingen:1998:lrlGP Learning Regular Languages Using Genetic Programming
BorgeSvingen.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_gp1998_svingen_1998_lrlGP.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/gp1998/svingen_1998_lrlGP.pdf
https___folk.idi.ntnu.no_mlh_algkon_gpregex.pdf https://folk.idi.ntnu.no/mlh/algkon/gpregex.pdf
svingen:1998:flairs Using Genetic Programming for Document Classification
BorgeSvingen.html
http___www.aaai.org_Library_FLAIRS_1998_flairs98-012.php http://www.aaai.org/Library/FLAIRS/1998/flairs98-012.php
http___www.aaai.org_Papers_FLAIRS_1998_FLAIRS98-012.pdf http://www.aaai.org/Papers/FLAIRS/1998/FLAIRS98-012.pdf
1144168 When lisp is faster than C
BorgeSvingen.html
http___gpbib.cs.ucl.ac.uk_gecco2006_docs_p957.pdf http://gpbib.cs.ucl.ac.uk/gecco2006/docs/p957.pdf
http___dx.doi.org_10.1145_1143997.1144168 http://dx.doi.org/10.1145/1143997.1144168
swafford_oneill:cec2010 An Examination on the Modularity of Grammars in Grammatical Evolutionary Design
JohnMarkSwafford.html
MichaelO'Neill.html
http___dx.doi.org_10.1109_CEC.2010.5586483 http://dx.doi.org/10.1109/CEC.2010.5586483
swafford:2011:EuroGP Exploring Grammatical Modification with Modules in Grammatical Evolution
JohnMarkSwafford.html
MichaelO'Neill.html
MiguelNicolau.html
AnthonyBrabazon.html
http___dx.doi.org_10.1007_978-3-642-20407-4_27 http://dx.doi.org/10.1007/978-3-642-20407-4_27
Swafford:2011:GECCO A non-destructive grammar modification approach to modularity in grammatical evolution
JohnMarkSwafford.html
ErikHemberg.html
MichaelO'Neill.html
MiguelNicolau.html
AnthonyBrabazon.html
http___dx.doi.org_10.1145_2001576.2001766 http://dx.doi.org/10.1145/2001576.2001766
Swafford:2012:GECCO Comparing methods for module identification in grammatical evolution
JohnMarkSwafford.html
MiguelNicolau.html
ErikHemberg.html
MichaelO'Neill.html
AnthonyBrabazon.html
http___dx.doi.org_10.1145_2330163.2330277 http://dx.doi.org/10.1145/2330163.2330277
conf/ppsn/SwaffordHOB12 Analyzing Module Usage in Grammatical Evolution
JohnMarkSwafford.html
ErikHemberg.html
MichaelO'Neill.html
AnthonyBrabazon.html
http___dx.doi.org_10.1007_978-3-642-32937-1_35 http://dx.doi.org/10.1007/978-3-642-32937-1_35
Swain:2003:ASC An evolutionary approach to the automatic generation of mathematical models
AnjanKumarSwain.html
AlanSMorris.html
http___dspace.iimk.ac.in_bitstream_2259_278_1_ascmodel.pdf http://dspace.iimk.ac.in/bitstream/2259/278/1/ascmodel.pdf
http___dx.doi.org_10.1016_S1568-4946_02_00074-1 http://dx.doi.org/10.1016/S1568-4946(02)00074-1
genofix-TR Gen-O-Fix: An embeddable framework for Dynamic Adaptive Genetic Improvement Programming
JerrySwan.html
MichaelGEpitropakis.html
JohnRWoodward.html
http___www.cs.stir.ac.uk__kjt_techreps_previous.html http://www.cs.stir.ac.uk/~kjt/techreps/previous.html
http___www.cs.stir.ac.uk__kjt_techreps_pdf_TR195.pdf http://www.cs.stir.ac.uk/~kjt/techreps/pdf/TR195.pdf
http___www.epitropakis.co.uk_sites_default_files_pubs_genofix-TR.pdf http://www.epitropakis.co.uk/sites/default/files/pubs/genofix-TR.pdf
http___crest.cs.ucl.ac.uk_cow_28_videos_COW28_Woodward_240.mp4 http://crest.cs.ucl.ac.uk/cow/28/videos/COW28_Woodward_240.mp4
http___crest.cs.ucl.ac.uk_cow_28_videos_COW28_Woodward_360.mp4 http://crest.cs.ucl.ac.uk/cow/28/videos/COW28_Woodward_360.mp4
Swan:2014:SMGP Semantically-meaningful Numeric Constants for Genetic Programming
JerrySwan.html
JohnHDrake.html
KrzysztofKrawiec.html
http___www.cs.put.poznan.pl_kkrawiec_smgp2014_uploads_Site_Swan.pdf http://www.cs.put.poznan.pl/kkrawiec/smgp2014/uploads/Site/Swan.pdf
swan:2014:SMGP2 Analysis of Semantic Building Blocks via Groebner Bases
JerrySwan.html
GeoffreyKNeumann.html
KrzysztofKrawiec.html
http___www.cs.put.poznan.pl_kkrawiec_smgp2014_uploads_Site_Swan2.pdf http://www.cs.put.poznan.pl/kkrawiec/smgp2014/uploads/Site/Swan2.pdf
Swan:2015:EuroGP Templar: a Framework for Template-Method Hyper-Heuristics
JerrySwan.html
NathanBurles.html
https___rdcu.be_drXjm https://rdcu.be/drXjm
http___dx.doi.org_10.1007_978-3-319-16501-1_17 http://dx.doi.org/10.1007/978-3-319-16501-1_17
Swan:2015:CEC Semi-Automated Algorithm Design with Genetic Programming
JerrySwan.html
JohnRWoodward.html
http___sites.ieee.org_cec2015_tutorials_ http://sites.ieee.org/cec2015/tutorials/
Swan:2016:GPTP Discovering Relational Structure in Program Synthesis Problems with Analogical Reasoning
JerrySwan.html
KrzysztofKrawiec.html
https___www.researchgate.net_publication_309292226_Discovering_Relational_Structure_in_Program_Synthesis_Problems_with_Analogical_Reasoning https://www.researchgate.net/publication/309292226_Discovering_Relational_Structure_in_Program_Synthesis_Problems_with_Analogical_Reasoning
https___pure.york.ac.uk_portal_en_publications_discovering-relational-structure-in-program-synthesis-problems-with-analogical-reasoning_a2dd897f-9d0e-4db1-8191-c1c939e995eb_.html https://pure.york.ac.uk/portal/en/publications/discovering-relational-structure-in-program-synthesis-problems-with-analogical-reasoning(a2dd897f-9d0e-4db1-8191-c1c939e995eb).html
https___www.springer.com_us_book_9783319970875 https://www.springer.com/us/book/9783319970875
http___dx.doi.org_10.1007_978-3-319-97088-2_10 http://dx.doi.org/10.1007/978-3-319-97088-2_10
Swan:2017:evoApplications Polytypic Genetic Programming
JerrySwan.html
KrzysztofKrawiec.html
NeilGhani.html
http___eprints.whiterose.ac.uk_117964_ http://eprints.whiterose.ac.uk/117964/
http___eprints.whiterose.ac.uk_117964_1_polytypic_genetic_programming.pdf http://eprints.whiterose.ac.uk/117964/1/polytypic_genetic_programming.pdf
http___dx.doi.org_10.1007_978-3-319-55792-2_5 http://dx.doi.org/10.1007/978-3-319-55792-2_5
Swan:2019:EC Extending the ``Open-Closed Principle'' to Automated Algorithm Configuration
JerrySwan.html
StevenAdriaensen.html
AdamDBarwell.html
KevinHammond.html
DavidRobertWhite.html
http___dx.doi.org_10.1162_evco_a_00245 http://dx.doi.org/10.1162/evco_a_00245
Swan:GPEM Stochastic synthesis of recursive functions made easy with bananas, lenses, envelopes and barbed wire
JerrySwan.html
KrzysztofKrawiec.html
ZoltanKocsis.html
https___rdcu.be_dr528 https://rdcu.be/dr528
http___dx.doi.org_10.1007_s10710-019-09347-3 http://dx.doi.org/10.1007/s10710-019-09347-3
Swan:2019:GECCOcomp Stochastic program synthesis via recursion schemes
JerrySwan.html
KrzysztofKrawiec.html
ZoltanKocsis.html
http___dx.doi.org_10.1145_3319619.3326758 http://dx.doi.org/10.1145/3319619.3326758
oai:CiteSeerPSU:364688 Robust Command Augmentation System Design Using Genetic Search Methods
GDSweriduk.html
PKMenon.html
http___www.optisyn.com_research_papers_papers_1998_rocom_98.pdf http://www.optisyn.com/research/papers/papers/1998/rocom_98.pdf
http___citeseer.ist.psu.edu_364688.html http://citeseer.ist.psu.edu/364688.html
oai:CiteSeerPSU:523451 Design Of A Pilot-Activated Recovery System Using Genetic Search Methods
GDSweriduk.html
MLSteinberg.html
PKMenon.html
http___www.optisyn.com_research_papers_papers_1999_pars_99.pdf http://www.optisyn.com/research/papers/papers/1999/pars_99.pdf
http___citeseer.ist.psu.edu_523451.html http://citeseer.ist.psu.edu/523451.html
Swift:thesis The Modelling of Short High-Dimensional Multivariate Time Series
StephenSwift.html
https___www.dcs.bbk.ac.uk_site_assets_files_1025_swifty.pdf https://www.dcs.bbk.ac.uk/site/assets/files/1025/swifty.pdf
http___ethos.bl.uk_OrderDetails.do_uin_uk.bl.ethos.272273 http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.272273
swope:2003:EPGRSTSPUGP Evolution of a Path Generator for a Round-Trip Symmetric Traveling Salesperson Problem Using Genetic Programming
BrettonSwope.html
http___www.genetic-programming.org_sp2003_Swope.pdf http://www.genetic-programming.org/sp2003/Swope.pdf
SYEDAHMEDKABIR:2020:Energy New analytical wake models based on artificial intelligence and rivalling the benchmark full-rotor CFD predictions under both uniform and ABL inflows
IjazFazilSyedAhmedKabir.html
FerozkhanSafiyullah.html
EYKNg.html
VivianWYTam.html
http___dx.doi.org_10.1016_j.energy.2019.116761 http://dx.doi.org/10.1016/j.energy.2019.116761
http___www.sciencedirect.com_science_article_pii_S0360544219324569 http://www.sciencedirect.com/science/article/pii/S0360544219324569
Syu:2015:ieeeICMS Applying Genetic Programming for Time-Aware Dynamic QoS Prediction
YangSyu.html
Yong-YiFanJiang.html
Jong-YihKuo.html
Shang-PinMa.html
http___dx.doi.org_10.1109_MobServ.2015.39 http://dx.doi.org/10.1109/MobServ.2015.39
conf/ciss/SyuFKS16 Quality of Service timeseries forecasting for Web Services: A machine learning, Genetic Programming-based approach
YangSyu.html
Yong-YiFanJiang.html
Jong-YihKuo.html
Jui-LungSu.html
http___ieeexplore.ieee.org_xpl_mostRecentIssue.jsp_punumber_7457733 http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=7457733
http___dx.doi.org_10.1109_CISS.2016.7460526 http://dx.doi.org/10.1109/CISS.2016.7460526
Syu:ieeeNSM Modeling and Forecasting of Time-aware Dynamic QoS Attributes for Cloud Services
YangSyu.html
Chien-MinWang.html
Yong-YiFanJiang.html
http___dx.doi.org_10.1109_TNSM.2018.2884983 http://dx.doi.org/10.1109/TNSM.2018.2884983
SYU:2017:JSS Time series forecasting for dynamic quality of web services: An empirical study
YangSyu.html
Jong-YihKuo.html
Yong-YiFanJiang.html
http___dx.doi.org_10.1016_j.jss.2017.09.011 http://dx.doi.org/10.1016/j.jss.2017.09.011
http___www.sciencedirect.com_science_article_pii_S0164121217302042 http://www.sciencedirect.com/science/article/pii/S0164121217302042
syu:2022:GECCOhop A Verified Application of Genetic Programming: QoS Time Series Modeling and Forecasting for Web Services
YangSyu.html
Chien-MinWang.html
Yong-YiFanJiang.html
http___dx.doi.org_10.1145_3520304.3534066 http://dx.doi.org/10.1145/3520304.3534066
Syu:2022:ICDMW Using Genetic Programming to Identify Probability Distribution behind Data: A Preliminary Trial
YangSyu.html
Chien-MinWang.html
http___dx.doi.org_10.1109_ICDMW58026.2022.00056 http://dx.doi.org/10.1109/ICDMW58026.2022.00056
syu:2023:GECCOcomp Multi-Step-Ahead Web Service QoS Time Series Forecasting: A Multi-Predictor-Based Genetic Programming Approach
YangSyu.html
Yong-YiFanJiang.html
http___dx.doi.org_10.1145_3583133.3595841 http://dx.doi.org/10.1145/3583133.3595841
Szczerba2010235 One-dimensional structure of exfoliated polymer-layered silicate nanocomposites: A polyvinylpyrrolidone (PVP) case study
MarekSzczerba.html
JanSrodon.html
MichalSkiba.html
ArkadiuszDerkowski.html
http___dx.doi.org_10.1016_j.clay.2009.10.015 http://dx.doi.org/10.1016/j.clay.2009.10.015
http___www.sciencedirect.com_science_article_B6V8Y-4XJP3TR-3_2_0314c6ad7c842ebe19f51e5fb9e67289 http://www.sciencedirect.com/science/article/B6V8Y-4XJP3TR-3/2/0314c6ad7c842ebe19f51e5fb9e67289
journals/mta/Szczuko14 Genetic programming extension to APF-based monocular human body pose estimation
PiotrSzczuko.html
http___dx.doi.org_10.1007_s11042-012-1147-4 http://dx.doi.org/10.1007/s11042-012-1147-4
conf/icaisc/Sze-ToLTWLTL13 GP-Pi: Using Genetic Programming with Penalization and Initialization on Genome-Wide Association Study
Ho-YinSze-To.html
Kwan-YeungLee.html
Kai-YuenTso.html
ManHonWong.html
Kin-HongLee.html
NelsonLSTang.html
Kwong-SakLeung.html
http___dx.doi.org_10.1007_978-3-642-38610-7 http://dx.doi.org/10.1007/978-3-642-38610-7
http___dx.doi.org_10.1007_978-3-642-38610-7_31 http://dx.doi.org/10.1007/978-3-642-38610-7_31
Szerlip:2014:ALIFE Steps Toward a Modular Library for Turning Any Evolutionary Domain into an Online Interactive Platform
PaulSzerlip.html
KennethOStanley.html
http___mitpress.mit.edu_sites_default_files_titles_content_alife14_ch147.html http://mitpress.mit.edu/sites/default/files/titles/content/alife14/ch147.html
http___dx.doi.org_10.7551_978-0-262-32621-6-ch147 http://dx.doi.org/10.7551/978-0-262-32621-6-ch147
Szlek:2013:IJNM Heuristic modeling of macromolecule release from PLGA microspheres
JakubSzlek.html
AdamPaclawski.html
RaymondLau.html
RenataJachowicz.html
AleksanderMendyk.html
http___dx.doi.org_10.2147_IJN.S53364 http://dx.doi.org/10.2147/IJN.S53364
http___www.ncbi.nlm.nih.gov_pmc_articles_PMC3857266 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3857266
http___www.dovepress.com_getfile.php_fileID_18330 http://www.dovepress.com/getfile.php?fileID=18330
http___dx.doi.org_10.2147_IJN.S53364 http://dx.doi.org/10.2147/IJN.S53364
Szubert:2016:GECCO Reducing Antagonism between Behavioral Diversity and Fitness in Semantic Genetic Programming
MarcinSzubert.html
AnuradhaKodali.html
SangramGanguly.html
KamalikaDas.html
JoshCBongard.html
http___dx.doi.org_10.1145_2908812.2908939 http://dx.doi.org/10.1145/2908812.2908939
Szubert:2016:PPSN Semantic Forward Propagation for Symbolic Regression
MarcinSzubert.html
AnuradhaKodali.html
SangramGanguly.html
KamalikaDas.html
JoshCBongard.html
http___dx.doi.org_10.1007_978-3-319-45823-6_34 http://dx.doi.org/10.1007/978-3-319-45823-6_34
Szymanski:2009:cec Investigating the Effect of Pruning on the Diversity and Fitness of Robot Controllers Based on MDL2e During Genetic Programming
MSzymanski.html
HeinzWoern.html
JanFischer.html
http___dx.doi.org_10.1109_CEC.2009.4983291 http://dx.doi.org/10.1109/CEC.2009.4983291
szymanski02feature Feature extraction from multiple data sources using genetic programming
JohnJSzymanski.html
StevenPBrumby.html
PaulPope.html
DamianEads.html
DianaEsch-Mosher.html
MarkGalassi.html
NealRHarvey.html
HerseyDWMcCulloch.html
SimonPerkins.html
ReidBPorter.html
JamesTheiler.html
ACodyYoung.html
JeffreyJBloch.html
NancyDavid.html
http___www.cs.rit.edu__dre9227_papers_szymanskiSPIE4725.pdf http://www.cs.rit.edu/~dre9227/papers/szymanskiSPIE4725.pdf
http___citeseer.ist.psu.edu_540967.html http://citeseer.ist.psu.edu/540967.html
http___dx.doi.org_10.1117_12.478765 http://dx.doi.org/10.1117/12.478765
Tabatabaei:2016:EAAI Self-adjusting multidisciplinary design of hydraulic engine mount using bond graphs and inductive genetic programming
SKarimTabatabaei.html
SaeedBehbahani.html
ClarenceWdeSilva.html
http___dx.doi.org_10.1016_j.engappai.2015.10.010 http://dx.doi.org/10.1016/j.engappai.2015.10.010
http___www.sciencedirect.com_science_article_pii_S0952197615002390 http://www.sciencedirect.com/science/article/pii/S0952197615002390
Tabatabaei:2015:JPSE A hybrid stochastic-gradient optimization to estimating total organic carbon from petrophysical data: A case study from the Ahwaz oilfield, SW Iran
SeyedMohammadEhsanTabatabaei.html
AliKadkhodaie-Ilkhchi.html
ZibaHosseini.html
AsgharAsghariMoghaddam.html
http___dx.doi.org_10.1016_j.petrol.2015.01.028 http://dx.doi.org/10.1016/j.petrol.2015.01.028
http___www.sciencedirect.com_science_article_pii_S0920410515000297 http://www.sciencedirect.com/science/article/pii/S0920410515000297
1277308 Association rule mining for continuous attributes using genetic network programming
KarlaTaboada.html
KaoruShimada.html
ShingoMabu.html
KotaroHirasawa.html
JingluHu.html
http___gpbib.cs.ucl.ac.uk_gecco2007_docs_p1758.pdf http://gpbib.cs.ucl.ac.uk/gecco2007/docs/p1758.pdf
http___dx.doi.org_10.1145_1276958.1277308 http://dx.doi.org/10.1145/1276958.1277308
Taboada:2007:cec Mining Association Rules from Databases with Continuous Attributes using Genetic Network Programming
KarlaTaboada.html
EloyGonzales.html
KaoruShimada.html
ShingoMabu.html
KotaroHirasawa.html
JingluHu.html
http___dx.doi.org_10.1109_CEC.2007.4424622 http://dx.doi.org/10.1109/CEC.2007.4424622
Taboada:2008:cec Genetic Network Programming Based Data Mining Method for Extracting Fuzzy Association Rules
KarlaTaboada.html
EloyGonzales.html
KaoruShimada.html
KotaroHirasawa.html
http___dx.doi.org_10.1109_CEC.2008.4631027 http://dx.doi.org/10.1109/CEC.2008.4631027
Taboada:2008:SICE Discovering fuzzy classification rules using Genetic Network Programming
KarlaTaboada.html
EloyGonzales.html
KaoruShimada.html
ShingoMabu.html
KotaroHirasawa.html
http___dx.doi.org_10.1109_SICE.2008.4654954 http://dx.doi.org/10.1109/SICE.2008.4654954
Taboada:2009:cec Genetic Network Programming for Fuzzy Association Rule-Based Classification
KarlaTaboada.html
ShingoMabu.html
EloyGonzales.html
KaoruShimada.html
KotaroHirasawa.html
http___dx.doi.org_10.1109_CEC.2009.4983239 http://dx.doi.org/10.1109/CEC.2009.4983239
Taboada:2009:ICCAS-SICE Fuzzy Association Rule Mining and Classifier with Chi-squared Correlation Measure using Genetic Network Programming
KarlaTaboada.html
ShingoMabu.html
EloyGonzales.html
KaoruShimada.html
KotaroHirasawa.html
http___ieeexplore.ieee.org_stamp_stamp.jsp_arnumber_5332929 http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=5332929
Taboada:2009:ieeeSMC Fuzzy classification rule mining based on Genetic Network Programming algorithm
KarlaTaboada.html
ShingoMabu.html
EloyGonzales.html
KaoruShimada.html
KotaroHirasawa.html
http___dx.doi.org_10.1109_ICSMC.2009.5346640 http://dx.doi.org/10.1109/ICSMC.2009.5346640
icga93:tackett Genetic Programming for Feature Discovery and Image Discrimination
WalterAldenTackett.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_ftp.io.com_papers_GP.feature.discovery.ps.Z http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/ftp.io.com/papers/GP.feature.discovery.ps.Z
Tackett93 Genetic Generation of ``Dendritic'' Trees for Image Classification
WalterAldenTackett.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_ftp.io.com_papers_GP.feature.discovery.ps.Z http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/ftp.io.com/papers/GP.feature.discovery.ps.Z
sgpc_readme SGPC: Simple Genetic Programming in C
WalterAldenTackett.html
AviramCarmi.html
https___www.cs.cmu.edu_afs_cs_project_ai-repository_ai_areas_genetic_gp_systems_sgpc_0.html https://www.cs.cmu.edu/afs/cs/project/ai-repository/ai/areas/genetic/gp/systems/sgpc/0.html
https___www.cs.cmu.edu_afs_cs_project_ai-repository_ai_areas_genetic_gp_systems_sgpc_readme.txt https://www.cs.cmu.edu/afs/cs/project/ai-repository/ai/areas/genetic/gp/systems/sgpc/readme.txt
kinnear:tackett The Donut Problem: Scalability and Generalization in Genetic Programming
WalterAldenTackett.html
AviramCarmi.html
http___www.amazon.co.uk_Advances-Genetic-Programming-Complex-Adaptive_dp_0262111888 http://www.amazon.co.uk/Advances-Genetic-Programming-Complex-Adaptive/dp/0262111888
http___cognet.mit.edu_sites_default_files_books_9780262277181_pdfs_9780262277181_chap7.pdf http://cognet.mit.edu/sites/default/files/books/9780262277181/pdfs/9780262277181_chap7.pdf
http___dx.doi.org_10.7551_mitpress_1108.003.0012 http://dx.doi.org/10.7551/mitpress/1108.003.0012
Tackett:1994:thesis Recombination, Selection, and the Genetic Construction of Computer Programs
WalterAldenTackett.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_ftp.io.com_papers_WAT_PHD_DissFull_USC94_Recombination_etc_Genetic_Construction_of_Computer_Programs.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/ftp.io.com/papers/WAT_PHD_DissFull_USC94_Recombination_etc_Genetic_Construction_of_Computer_Programs.pdf
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_ftp.io.com_papers_watphd.tar.Z http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/ftp.io.com/papers/watphd.tar.Z
Tackett:1994:broodGP The unique implications of brood selection for genetic programming
WalterAldenTackett.html
AviramCarmi.html
http___dx.doi.org_10.1109_ICEC.1994.350023 http://dx.doi.org/10.1109/ICEC.1994.350023
Tackett:1995:grgsscp Greedy Recombination and Genetic Search on the Space of Computer Programs
WalterAldenTackett.html
http___www.amazon.co.uk_gp_search_index_books_linkCode_qs_keywords_1558603565 http://www.amazon.co.uk/gp/search?index=books&linkCode=qs&keywords=1558603565
http___dx.doi.org_10.1016_B978-1-55860-356-1.50017-0 http://dx.doi.org/10.1016/B978-1-55860-356-1.50017-0
Tackett:1995:mGP Mining the genetic program
WalterAldenTackett.html
http___dx.doi.org_10.1109_64.393140 http://dx.doi.org/10.1109/64.393140
Tackett:1997:HEC Genetic programming applied to image discrimination
WalterAldenTackett.html
KGovindaChar.html
http___www.crcnetbase.com_isbn_9780750308953 http://www.crcnetbase.com/isbn/9780750308953
http___citeseerx.ist.psu.edu_viewdoc_download_doi_10.1.1.375.6494.pdf http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.375.6494.pdf
http___dx.doi.org_10.1201_9780367802486 http://dx.doi.org/10.1201/9780367802486
TAGHIPOURANVARI:2023:engstruct Data-Driven Prediction Models For Total Shear Strength of Reinforced Concrete Beams With Fiber Reinforced Polymers Using An Evolutionary Machine Learning Approach
AtaollahTaghipourAnvari.html
SaeedKBabanajad.html
AHGandomi.html
http___dx.doi.org_10.1016_j.engstruct.2022.115292 http://dx.doi.org/10.1016/j.engstruct.2022.115292
https___www.sciencedirect.com_science_article_pii_S0141029622013682 https://www.sciencedirect.com/science/article/pii/S0141029622013682
TaghizadehMehrjardi:2016:Geoderma Digital mapping of soil organic carbon at multiple depths using different data mining techniques in Baneh region, Iran
RuhollahTaghizadeh-Mehrjardi.html
KNabiollahi.html
RKerry.html
http___dx.doi.org_10.1016_j.geoderma.2015.12.003 http://dx.doi.org/10.1016/j.geoderma.2015.12.003
http___www.sciencedirect.com_science_article_pii_S0016706115301543 http://www.sciencedirect.com/science/article/pii/S0016706115301543
Tahan:2019:ICSPIS An Intelligent and Flexible Solution for the Balanced Spanning Tree Problem
MarziehHajizadehTahan.html
MohammadGhasemzadeh.html
http___dx.doi.org_10.1109_ICSPIS48872.2019.9066030 http://dx.doi.org/10.1109/ICSPIS48872.2019.9066030
Tahir:2019:ACC A Classification Model For Class Imbalance Dataset Using Genetic Programming
MirzaAmaadUlHaqTahir.html
SohailAsghar.html
AwaisManzoor.html
MuhammadAsimNoor.html
http___dx.doi.org_10.1109_ACCESS.2019.2915611 http://dx.doi.org/10.1109/ACCESS.2019.2915611
tahmassebi:2017:CEC An evolutionary approach for fMRI big data classification
AmirhessamTahmassebi.html
AHGandomi.html
IanMcCann.html
MiekeHJSchulte.html
LianneSchmaal.html
AnnaEGoudriaan.html
AnkeMeyer-Baese.html
http___dx.doi.org_10.1109_CEC.2017.7969421 http://dx.doi.org/10.1109/CEC.2017.7969421
Tahmassebi:2017:ds-o fMRI Smoking Cessation Classification Using Genetic Programming
AmirhessamTahmassebi.html
AHGandomi.html
IanMcCann.html
MiekeHJSchulte.html
LianneSchmaal.html
AnnaEGoudriaan.html
AnkeMeyer-Baese.html
http___ds-o.org_images_Workshop_papers_Gandomi.pdf http://ds-o.org/images/Workshop_papers/Gandomi.pdf
Tahmassebi:2017:PEARC High Performance GP-Based Approach for fMRI Big Data Classification
AmirhessamTahmassebi.html
AHGandomi.html
AnkeMeyer-Baese.html
http___dx.doi.org_10.1145_3093338.3104145 http://dx.doi.org/10.1145/3093338.3104145
Tahmassebi:2017:GPTP Genetic Programming Based on Error Decomposition: A Big Data Approach
AmirhessamTahmassebi.html
AHGandomi.html
https___link.springer.com_chapter_10.1007_978-3-319-90512-9_9 https://link.springer.com/chapter/10.1007/978-3-319-90512-9_9
http___dx.doi.org_10.1007_978-3-319-90512-9_9 http://dx.doi.org/10.1007/978-3-319-90512-9_9
Tahmassebi:2018:Measurement Building energy consumption forecast using multi-objective genetic programming
AmirhessamTahmassebi.html
AHGandomi.html
https___www.sciencedirect.com_science_article_pii_S0263224118300447 https://www.sciencedirect.com/science/article/pii/S0263224118300447
http___dx.doi.org_10.1016_j.measurement.2018.01.032 http://dx.doi.org/10.1016/j.measurement.2018.01.032
Tahmassebi:2018:CEC An Evolutionary Online Framework for MOOC Performance Using EEG Data
AmirhessamTahmassebi.html
AHGandomi.html
AnkeMeyer-Baese.html
https___ieeexplore.ieee.org_abstract_document_8477862 https://ieeexplore.ieee.org/abstract/document/8477862
http___dx.doi.org_10.1109_CEC.2018.8477862 http://dx.doi.org/10.1109/CEC.2018.8477862
Tahmassebi:2018:CECa A Pareto Front Based Evolutionary Model for Airfoil Self-Noise Prediction
AmirhessamTahmassebi.html
AHGandomi.html
AnkeMeyer-Baese.html
https___ieeexplore.ieee.org_abstract_document_8477987 https://ieeexplore.ieee.org/abstract/document/8477987
http___dx.doi.org_10.1109_CEC.2018.8477987 http://dx.doi.org/10.1109/CEC.2018.8477987
conf/evoW/TahtaCS14 Evolving a Trust Model for Peer-to-Peer Networks Using Genetic Programming
UgurErayTahta.html
AhmetBurakCan.html
SevilSen.html
http___dx.doi.org_10.1007_978-3-662-45523-4 http://dx.doi.org/10.1007/978-3-662-45523-4
Tahta:2015:ASC GenTrust: A genetic trust management model for peer-to-peer systems
UgurErayTahta.html
SevilSen.html
AhmetBurakCan.html
http___dx.doi.org_10.1016_j.asoc.2015.04.053 http://dx.doi.org/10.1016/j.asoc.2015.04.053
http___www.sciencedirect.com_science_article_pii_S156849461500280X http://www.sciencedirect.com/science/article/pii/S156849461500280X
Tai:thesis Human Learning Behavior versus Software Trading: The Influences of Cognitive Capacity on Learning Behavior
Chung-ChingTai.html
http___thesis.lib.nccu.edu.tw_cgi-bin_gs32_gsweb.cgi_ccd_L.S.Df_record_r1_1_h1_0 http://thesis.lib.nccu.edu.tw/cgi-bin/gs32/gsweb.cgi/ccd=L.S.Df/record?r1=1&h1=0
http___nccur.lib.nccu.edu.tw_handle_140.119_35796 http://nccur.lib.nccu.edu.tw/handle/140.119/35796
Tajeri:2015:IJRMMS Indirect estimation of the ultimate bearing capacity of shallow foundations resting on rock masses
ShervinTajeri.html
EhsanSadrossadat.html
JafarBolouriBazaz.html
http___dx.doi.org_10.1016_j.ijrmms.2015.09.015 http://dx.doi.org/10.1016/j.ijrmms.2015.09.015
http___www.sciencedirect.com_science_article_pii_S1365160915300423 http://www.sciencedirect.com/science/article/pii/S1365160915300423
takac:masters Genetic Programming in Data Mining - Cellular Approach
AleksandraTakac.html
http___www.ii.fmph.uniba.sk__takaca_thesis_thesis.pdf http://www.ii.fmph.uniba.sk/~takaca/thesis/thesis.pdf
takac:2004:KN Application of Cellular Genetic Programming in Data Mining
AleksandraTakac.html
http___www.ii.fmph.uniba.sk__takaca_KN04.PDF http://www.ii.fmph.uniba.sk/~takaca/KN04.PDF
takagi:2001:ieee Interactive Evolutionary Computation: Fusion of the Capabilities of EC Optimization and Human Evaluation
HideyukiTakagi.html
http___dx.doi.org_10.1109_5.949485 http://dx.doi.org/10.1109/5.949485
Takagi:2002:SEAL Interactive EC-based Signal Processing
HideyukiTakagi.html
NorimasaHayashida.html
https___catalog.lib.kyushu-u.ac.jp_opac_download_md_1670073_SEAL2002_4.pdf https://catalog.lib.kyushu-u.ac.jp/opac_download_md/1670073/SEAL2002_4.pdf
https___www.researchgate.net_publication_228945588_Interactive_ec-based_signal_processing https://www.researchgate.net/publication/228945588_Interactive_ec-based_signal_processing
http___hdl.handle.net_2324_1670073 http://hdl.handle.net/2324/1670073
TAKAKI:2022:ailsci Symbolic regression for the interpretation of quantitative structure-property relationships
KatsushiTakaki.html
TomoyukiMiyao.html
http___dx.doi.org_10.1016_j.ailsci.2022.100046 http://dx.doi.org/10.1016/j.ailsci.2022.100046
https___www.sciencedirect.com_science_article_pii_S2667318522000162 https://www.sciencedirect.com/science/article/pii/S2667318522000162
TAKAMURA:2009:PCS Automatic pixel predictor construction using an evolutionary method
SeishiTakamura.html
MasaakiMatsumura.html
YoshiyukiYashima.html
http___dx.doi.org_10.1109_PCS.2009.5167448 http://dx.doi.org/10.1109/PCS.2009.5167448
TAKAMURA:2009:ICIP A study on an evolutionary pixel predictor and its properties
SeishiTakamura.html
MasaakiMatsumura.html
YoshiyukiYashima.html
http___dx.doi.org_10.1109_ICIP.2009.5413714 http://dx.doi.org/10.1109/ICIP.2009.5413714
Takamura:2010:PCS Accelerating pixel predictor evolution using edge-based class separation
SeishiTakamura.html
MasaakiMatsumura.html
HirohisaJozawa.html
http___dx.doi.org_10.1109_PCS.2010.5702434 http://dx.doi.org/10.1109/PCS.2010.5702434
Takamura:2013:DCC Image Coding Using Nonlinear Evolutionary Transforms
SeishiTakamura.html
AtsushiShimizu.html
http___dx.doi.org_10.1109_DCC.2013.100 http://dx.doi.org/10.1109/DCC.2013.100
Takamura:2014:GECCOcomp GPGPU-assisted denoising filter generation for video coding
SeishiTakamura.html
AtsushiShimizu.html
http___doi.acm.org_10.1145_2598394.2598462 http://doi.acm.org/10.1145/2598394.2598462
http___dx.doi.org_10.1145_2598394.2598462 http://dx.doi.org/10.1145/2598394.2598462
7025832 Image/video coding based on evolutive unidirectional transforms
SeishiTakamura.html
AtsushiShimizu.html
http___dx.doi.org_10.1109_ICIP.2014.7025832 http://dx.doi.org/10.1109/ICIP.2014.7025832
Takamura:2016:ICIP Concurrent Evolution of Pixel Predictor and Context Modeling for Image Coding
SeishiTakamura.html
AtsushiShimizu.html
http___2016.ieeeicip.org_Papers_viewpapers.asp_papernum_3228 http://2016.ieeeicip.org/Papers/viewpapers.asp?papernum=3228
http___dx.doi.org_10.1109_ICIP.2016.7532738 http://dx.doi.org/10.1109/ICIP.2016.7532738
Takeuchi:2021:ICT Reference Points Generated on Unit Hypersurfaces for MaOEAs
HarutoTakeuchi.html
MdKawsarKhan.html
MakotoOhki.html
http___dx.doi.org_10.1109_3ICT53449.2021.9581958 http://dx.doi.org/10.1109/3ICT53449.2021.9581958
Taktak:2006:EMBS Double-Blind Comparison of Survival Analysis Models Using a Bespoke Web System
AzzamFGTaktak.html
ChristianSetzkorn.html
BertilEDamato.html
http___dx.doi.org_10.1109_IEMBS.2006.259797 http://dx.doi.org/10.1109/IEMBS.2006.259797
RefWorks:122 A Protocol for Double-Blind Evaluation of Prognostic Models
AzzamFGTaktak.html
LAntolini.html
MAung.html
PBoracchi.html
ICampbell.html
BertilEDamato.html
EIfeachor.html
NLama.html
PLisboa.html
GManikis.html
CSetzkorn.html
VStalbovskaya.html
MZervakis.html
EBiganzoli.html
RefWorks:118 Double-blind evaluation and benchmarking of survival models in a multi-centre study
AzzamFGTaktak.html
LAntolini.html
MAung.html
PBoracchi.html
ICampbell.html
BertilEDamato.html
EIfeachor.html
NLama.html
PLisboa.html
CSetzkorn.html
VStalbovskaya.html
EBiganzoli.html
http___www.liv.ac.uk__clfs12_NHS_20Dept_20Clinical_20Engineering_20Liverpool_Reseach_pages_Publications_660_taktak.pdf http://www.liv.ac.uk/~clfs12/NHS%20Dept%20Clinical%20Engineering%20Liverpool/Reseach_pages/Publications/660_taktak.pdf
http___www.sciencedirect.com_science_article_B6T5N-4MM8BMB-1_2_3497fbdd7ed395a4886e11a62f81314d http://www.sciencedirect.com/science/article/B6T5N-4MM8BMB-1/2/3497fbdd7ed395a4886e11a62f81314d
http___dx.doi.org_10.1016_j.compbiomed.2006.10.001 http://dx.doi.org/10.1016/j.compbiomed.2006.10.001
Talbot:2010:IJSEA Complex Application Architecture Dynamic Reconfiguration Based on Multi-criteria Decision Making
VincentTalbot.html
IlhamBenyahia.html
http___citeseerx.ist.psu.edu_viewdoc_download_doi_10.1.1.174.7744_rep_rep1_type_pdf http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.174.7744&rep=rep1&type=pdf
http___www.airccse.org_journal_ijsea_ http://www.airccse.org/journal/ijsea/
http___airccse.org_journal_ijsea_papers_1010ijsea2.pdf http://airccse.org/journal/ijsea/papers/1010ijsea2.pdf
http___dx.doi.org_10.5121_ijsea.2010.1402 http://dx.doi.org/10.5121/ijsea.2010.1402
talbott:2003:ACTPUABGP Automatic Creation of Team-Control Plans Using an Assignment Branch in Genetic Programming
WalterATalbott.html
http___www.genetic-programming.org_sp2003_Talbott.pdf http://www.genetic-programming.org/sp2003/Talbott.pdf
talbott:aco:gecco2004 Automatic Creation of Team-Control Plans Using an Assignment Branch in Genetic Programming
WalterATalbott.html
http___dx.doi.org_10.1007_b98643 http://dx.doi.org/10.1007/b98643
Taleby-Ahvanooey:2019:itiis A Survey of Genetic Programming and Its Applications
MiladTalebyAhvanooey.html
QianmuLi.html
ShuoWang.html
ShuoWang.html
http___itiis.org_digital-library_manuscript_2311 http://itiis.org/digital-library/manuscript/2311
http___dx.doi.org_10.3837_tiis.2019.04.002 http://dx.doi.org/10.3837/tiis.2019.04.002
talko:mastersthesis A Rule-Based Approach for Constructing Neural Networks Using Genetic Programming
BretTalko.html
http___citeseer.ist.psu.edu_312140.html http://citeseer.ist.psu.edu/312140.html
talko:1999:ai Evolving Modular Neural Networks Using Rule-Based Genetic Programming
BretTalko.html
LindaStern.html
LesKitchen.html
http___citeseer.ist.psu.edu_cache_papers_cs_12028_http_zSzzSzwww.cs.mu.oz.auzSz_talkozSzposterai99.pdf_evolving-modular-neural-networks.pdf http://citeseer.ist.psu.edu/cache/papers/cs/12028/http:zSzzSzwww.cs.mu.oz.auzSz~talkozSzposterai99.pdf/evolving-modular-neural-networks.pdf
http___citeseer.ist.psu.edu_284438.html http://citeseer.ist.psu.edu/284438.html
http___www.springer.com_computer_ai_book_978-3-540-66822-0 http://www.springer.com/computer/ai/book/978-3-540-66822-0
talko:2000:PRICAI Evolving Neural Networks for Decomposable Problems using Genetic Programming
BretTalko.html
LindaStern.html
LesKitchen.html
http___dx.doi.org_10.1007_3-540-44533-1_46 http://dx.doi.org/10.1007/3-540-44533-1_46
tamaki:2002:IWES Emergent Design of Passive Filter Circuit - A Case of Using Multi-Objective Genetic Programming
HisashiTamaki.html
HajimeMurao.html
FFuruta.html
SKitamura.html
Tamboli:2011:CSNT A Generic Structure of Object Classification Using Genetic Programming
ArifaSTamboli.html
MedhaAbhijeetShah.html
http___dx.doi.org_10.1109_CSNT.2011.154 http://dx.doi.org/10.1109/CSNT.2011.154
Tamura:2011:SNPD Generation Method of Concurrency Control Program by Using Genetic Programming
ShinjiTamura.html
TeruhisaHochin.html
HirokiNomiya.html
http___dx.doi.org_10.1109_SNPD.2011.16 http://dx.doi.org/10.1109/SNPD.2011.16
Tamura:2012:ICIS Generation of Semantic Concurrency Control Program by Using Genetic Programming
ShinjiTamura.html
TeruhisaHochin.html
HirokiNomiya.html
http___dx.doi.org_10.1109_ICIS.2012.55 http://dx.doi.org/10.1109/ICIS.2012.55
Tamura:2012:SMC Concurrency control program generation by decreasing nodes of program trees in genetic programming
ShinjiTamura.html
TeruhisaHochin.html
HirokiNomiya.html
http___dx.doi.org_10.1109_ICSMC.2012.6377863 http://dx.doi.org/10.1109/ICSMC.2012.6377863
Tamura:2008:ECJ Virus-evolutionary linear genetic programming
KenjiTamura.html
AtsukoMutoh.html
TsuyoshiNakamura.html
HidenoriItoh.html
https___zh.art1lib.com_book_1268426_ecd361 https://zh.art1lib.com/book/1268426/ecd361
https___onlinelibrary.wiley.com_doi_abs_10.1002_ecj.10030 https://onlinelibrary.wiley.com/doi/abs/10.1002/ecj.10030
http___dx.doi.org_10.1002_ecj.10030 http://dx.doi.org/10.1002/ecj.10030
journals/jaciii/TamuraT13 Development of Ghost Controller for Ms Pac-Man Versus Ghost Team with Grammatical Evolution
KenjiTamura.html
TakashiTorii.html
https___www.fujipress.jp_jaciii_jc_jacii001700060904_ https://www.fujipress.jp/jaciii/jc/jacii001700060904/
http___dx.doi.org_10.20965_jaciii.2013.p0904 http://dx.doi.org/10.20965/jaciii.2013.p0904
tan:2018:AJCAI A Genetic Programming Hyper-heuristic Approach for Online Resource Allocation in Container-Based Clouds
BoxiongTan.html
HuiMa.html
YiMei.html
http___link.springer.com_chapter_10.1007_978-3-030-03991-2_15 http://link.springer.com/chapter/10.1007/978-3-030-03991-2_15
http___dx.doi.org_10.1007_978-3-030-03991-2_15 http://dx.doi.org/10.1007/978-3-030-03991-2_15
Tan:2019:CEC A Hybrid Genetic Programming Hyper-Heuristic Approach for Online Two-level Resource Allocation in Container-based Clouds
BoxiongTan.html
HuiMa.html
YiMei.html
https___ecs.wgtn.ac.nz_Main_Here https://ecs.wgtn.ac.nz/Main/Here
http___dx.doi.org_10.1109_CEC.2019.8790220 http://dx.doi.org/10.1109/CEC.2019.8790220
Boxiong_Tan:Cloud A Cooperative Coevolution Genetic Programming Hyper-Heuristic Approach for On-line Resource Allocation in Container-based Clouds
BoxiongTan.html
HuiMa.html
YiMei.html
MengjieZhang.html
http___dx.doi.org_10.1109_TCC.2020.3026338 http://dx.doi.org/10.1109/TCC.2020.3026338
Tan:2006:ASPGP A logic program semantics-based framework for immune anomaly detection
ChengyuTan.html
HongbinDong.html
YiwenLiang.html
http___gpbib.cs.ucl.ac.uk_aspgp06_Tan_2006_ASPGP.pdf http://gpbib.cs.ucl.ac.uk/aspgp06/Tan_2006_ASPGP.pdf
DBLP:conf/ijcai/TanC01 Neural Logic Network Learning using Genetic Programming
Chew-LimTan.html
HenryWai-KitChia.html
http___ijcai.org_Past_Proceedings_IJCAI-2001_PDF_..._IJCAI-2001-j.pdf http://ijcai.org/Past_Proceedings/IJCAI-2001/PDF/.../IJCAI-2001-j.pdf
tan:2002:mmccrugp Mining multiple comprehensible classification rules using genetic programming
KayChenTan.html
ATay.html
TongHengLee.html
CMHeng.html
http___dx.doi.org_10.1109_CEC.2002.1004431 http://dx.doi.org/10.1109/CEC.2002.1004431
Tan:2003:AIM Evolutionary computing for knowledge discovery in medical diagnosis
KayChenTan.html
QiYu.html
CMHeng.html
TongHengLee.html
http___www.sciencedirect.com_science_article_B6T4K-47RRWS9-2_2_5c8dfaf6e49d194b0c8ed6e2fd1b5117 http://www.sciencedirect.com/science/article/B6T4K-47RRWS9-2/2/5c8dfaf6e49d194b0c8ed6e2fd1b5117
http___dx.doi.org_10.1016_S0933-3657_03_00002-2 http://dx.doi.org/10.1016/S0933-3657(03)00002-2
Tan:2016:PeerJ A genetic programming approach to oral cancer prognosis
MeiSzeTan.html
JingWeiTan.html
Siow-WeeChang.html
HwaJenYap.html
SameemBintiAbdulKareem.html
RosnahBintiMohdZain.html
https___www.ncbi.nlm.nih.gov_pmc_articles_PMC5036111_pdf_peerj-04-2482.pdf https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5036111/pdf/peerj-04-2482.pdf
http___dx.doi.org_10.7717_peerj.2482 http://dx.doi.org/10.7717/peerj.2482
Tan:2023:ICAC Expensive Multi-Objective of Pre-Oxidation Process Parameter Optimization Considering Heterogeneity
MuyaoTan.html
LiangJin.html
KunlunLi.html
http___dx.doi.org_10.1109_ICAC57885.2023.10275289 http://dx.doi.org/10.1109/ICAC57885.2023.10275289
Tan:2016:ASP:2950290.2950295 Anti-patterns in Search-based Program Repair
ShinHweiTan.html
HiroakiYoshida.html
MukulRPrasad.html
AbhikRoychoudhury.html
https___www.comp.nus.edu.sg__abhik_pdf_FSE16.pdf https://www.comp.nus.edu.sg/~abhik/pdf/FSE16.pdf
http___dx.doi.org_10.1145_2950290.2950295 http://dx.doi.org/10.1145/2950290.2950295
ShinHwei Design of repair operators for automated program repair
ShinHweiTan.html
https___www.comp.nus.edu.sg__abhik_Students_ShinHwei.pdf https://www.comp.nus.edu.sg/~abhik/Students/ShinHwei.pdf
Tan:2018:ICSE Repairing Crashes in Android Apps
ShinHweiTan.html
ZhenDong.html
XiangGao.html
AbhikRoychoudhury.html
http___www.human-competitive.org_sites_default_files_tan-paper.pdf http://www.human-competitive.org/sites/default/files/tan-paper.pdf
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Xuejun_Tan:thesis Computational Algorithms for Fingerprint Recognition
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http___search.proquest.com_docview_305355283 http://search.proquest.com/docview/305355283
Tan:2006:tSMC Fingerprint classification based on learned features
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YingqiangLin.html
http___dx.doi.org_10.1109_TSMCC.2005.848167 http://dx.doi.org/10.1109/TSMCC.2005.848167
Tanemura:2023:GCCE Application of Genetic Programming to Unsolved Mathematical Problems II
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ShoeiTakahashi.html
YukiTokuni.html
HikaruManabe.html
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tanev:2000:pdiGP DCOM-based Parallel Distributed Implementation of GP
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KoichiOno.html
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tanev:2000:piGPc Parallel Implementation of Genetic Programming on Clusters
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tanev:2000:PETTA Effect of Batching on Performance Characteristics of DCOM-based Distributed Implementation of Genetic Programming
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TakashiUozumi.html
KoichiOno.html
tanev:thesis Metacomputer Implementation of Genetic Programming on Clusters
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tanev:2001:ICCS Component Object Based Single System Image Middleware for Metacomputer Implementation of Genetic Programming on Clusters
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DaurenAkhmetov.html
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tanev:2001:SA Scalable architecture for parallel distributed implementation of genetic programming on network of workstations
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TakashiUozumi.html
KoichiOno.html
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Tanev:2001:ICOIN Parallel Genetic Programming: Component Object-based Distributed Collaborative Approach
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KoichiOno.html
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Tanev:2002:gecco An Application Service Provider Approach For Hybrid Evolutionary Algorithm-based Real-world Flexible Job Shop Scheduling Problem
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tanev:2002:GECCO:workshop Priority Dispatching Rules-based Genetic Representation For Hybrid Evolutionary Algorithm For Flexible Job Shop Scheduling Problem
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Tanev:2003:CCJ Component Object Based Single System Image for Dependable Implementation of Genetic Programming on Clusters
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TakashiUozumi.html
DaurenAkhmetov.html
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Tanev:2003:AROB DOM/XML-Based Portable Genetic Representation of Morphology, Behavior and Communication Abilities of Evolvable Agents
IvanTTanev.html
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Tanev:2003:gecco On Role of Implicit Interaction and Explicit Communications in Emergence of Social Behavior in Continuous Predators-Prey Pursuit Problem
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KatsunoriShimohara.html
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Tanev:2003:ECAL Effects of Learning to Interact on the Evolution of Social Behavior of Agents in Continuous Predators-prey Pursuit Problem
IvanTTanev.html
KatsunoriShimohara.html
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Tanev:2003:CEC Epigenetic Programming: an Approach of Embedding Epigenetic Learning via Modification of Histones in Genetic Programming
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KikuoYuta.html
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Tanev:aspgp03 The Effect of Explicit Communications on the Generality and Robustness of Evolved Team of Agents in Predator-Prey Problem
IvanTTanev.html
MichaelBrozozowski.html
tanev:2004:arob2 Evolution of Sidewinding Locomotion of Simulated Limbless, Weelless Robots
IvanTTanev.html
ThomasSRay.html
tanev:2004:arob1 Implications of the Ability to Learn Simple Actions on the Efficiency of Evolution of Social Behavior of Agents
IvanTTanev.html
KatsunoriShimohara.html
tanev:2004:iscie On the Emergence of Social Behavior from Implicit, Proximity Defined Interactions in Predators-prey Pursuit Problem
IvanTTanev.html
KatsunoriShimohara.html
tanev:2004:edraaosloslwr Evolutionary Design, Robustness and Adaptation of Sidewinding Locomotion of Simulated Libmless Wheelless Robot
IvanTTanev.html
ThomasSRay.html
AndrzejBuller.html
http___dx.doi.org_10.1109_CEC.2004.1331186 http://dx.doi.org/10.1109/CEC.2004.1331186
tanev:2004:gecco Implications of Epigenetic Learning via Modification of Histones on Performance of Genetic Programming
IvanTTanev.html
KikuoYuta.html
http___dx.doi.org_10.1007_b98643 http://dx.doi.org/10.1007/b98643
tanev:2004:gecco_snake Evolution, Robustness, and Adaptation of Sidewinding Locomotion of Simulated Snake-Like Robot
IvanTTanev.html
ThomasSRay.html
AndrzejBuller.html
http___dx.doi.org_10.1007_b98643 http://dx.doi.org/10.1007/b98643
tanev:2004:geccowks Implications of Incorporating Learning Probabilistic Context-sensitive Grammar in Genetic Programming on Evolvability of Adaptive Locomotion Gaits of Snakebot
IvanTTanev.html
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tanev:2004:SJSKAL Evolutionary Algorithms for Intelligent Software Design
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Tanev:2004:CNUDU Steering the Mutation Operation in GP through Learning Probabilistic Context Sensitive Grammar
IvanTTanev.html
tanev:2004:ALR DOM/XML-Based Portable Genetic Representation of Morphology, Behavior and Communication Abilities of Evolvable Agents
IvanTTanev.html
http___dx.doi.org_10.1007_s10015-004-0288-6 http://dx.doi.org/10.1007/s10015-004-0288-6
tanev:2004:EMTP Evolution, Robustness and Adaptation of Sidewinding Locomotion of Simulated Snake-like Robot
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ThomasSRay.html
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eurogp:Tanev05 Incorporating Learning Probabilistic Context-Sensitive Grammar in Genetic Programming for Efficient Evolution and Adaptation of Snakebot
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http___dx.doi.org_10.1007_978-3-540-31989-4_14 http://dx.doi.org/10.1007/978-3-540-31989-4_14
http___dx.doi.org_10.1007_b107383 http://dx.doi.org/10.1007/b107383
tanev_2005_WSTST Emergent Intelligent Properties of Evolving and Adapting Snake-like Robot's Locomotion
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http___dx.doi.org_10.1007_3-540-32391-0_69 http://dx.doi.org/10.1007/3-540-32391-0_69
1068125 Learned mutation strategies in genetic programming for evolution and adaptation of simulated snakebot
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tanev:2005:GECCOLB Evolving Driving Agent for Remote Control of Scaled Model of a Car
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HitoshiHemmi.html
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Tanev:2005:JSES Learning Mutation Strategies in Genetic Programming and their Implications on Evolution, Adaptation and Robustness of Snakebot
IvanTTanev.html
tanev:2005:TR Automated Evolutionary Design, Robustness and Adaptation of Sidewinding Locomotion of Simulated Snake-like Robot
IvanTTanev.html
ThomasSRay.html
AndrzejBuller.html
http___dx.doi.org_10.1109_TRO.2005.851028 http://dx.doi.org/10.1109/TRO.2005.851028
tanev:2005:CEC Evolution of the Driving Styles of Anticipatory Agent Remotely Operating a Scaled Model of Racing Car
IvanTTanev.html
MichalJoachimczak.html
HitoshiHemmi.html
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http___dx.doi.org_10.1109_CEC.2005.1554918 http://dx.doi.org/10.1109/CEC.2005.1554918
tanev:2005:GPEM Evolution, Generality and Robustness of Emerged Surrounding Behavior in Continuous Predators-Prey Pursuit Problem
IvanTTanev.html
MichaelBrzozowski.html
KatsunoriShimohara.html
http___dx.doi.org_10.1007_s10710-005-2989-6 http://dx.doi.org/10.1007/s10710-005-2989-6
tanev:2005:ALR1 Implications of the Ability to Learn Simple Actions on the Efficiency of Evolution of Social Behavior of Agents
IvanTTanev.html
KatsunoriShimohara.html
http___dx.doi.org_10.1007_s10015-004-0335-3 http://dx.doi.org/10.1007/s10015-004-0335-3
tanev:2005:ALR3 Evolution of Sidewinding Locomotion of Simulated Limbless, Wheelless Robots
IvanTTanev.html
ThomasSRay.html
http___dx.doi.org_10.1007_s10015-004-0332-6 http://dx.doi.org/10.1007/s10015-004-0332-6
eurogp06:Tanev Emergent Generality of Adapted Locomotion Gaits of Simulated Snake-like Robot
IvanTTanev.html
http___dx.doi.org_10.1007_11729976_8 http://dx.doi.org/10.1007/11729976_8
tanev:2006:ISCIE Exploring the Analogy in the Emergent Properties of Locomotion Gaits of Snakebot Adapted to Challenging Terrain and Partial Damage
IvanTTanev.html
ThomasSRay.html
KatsunoriShimohara.html
http___www.iscie.or.jp_e__Transactions_20of_20ISCIE_2C_20Vol._2019 http://www.iscie.or.jp/e/?Transactions%20of%20ISCIE%2C%20Vol.%2019
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tanev:2006:GECCO Evolution of driving agent, remotely operating a scale model of a car with obstacle avoidance capabilities
IvanTTanev.html
MichalJoachimczak.html
KatsunoriShimohara.html
http___gpbib.cs.ucl.ac.uk_gecco2006_docs_p1785.pdf http://gpbib.cs.ucl.ac.uk/gecco2006/docs/p1785.pdf
http___dx.doi.org_10.1145_1143997.1144286 http://dx.doi.org/10.1145/1143997.1144286
tanev:2006:CNUDU Interactive Learning of Mutation Strategies in Genetic Programming
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tanev:2006:WCSS Hyperheuristic Genetic Representation of Evolvable Human Relations Networks
IvanTTanev.html
SebastienPrudent.html
KatsunoriShimohara.html
Tanev:2006:GPEM Genetic programming incorporating biased mutation for evolution and adaptation of Snakebot
IvanTTanev.html
http___dx.doi.org_10.1007_s10710-006-9008-4 http://dx.doi.org/10.1007/s10710-006-9008-4
Tanev:2006:MRtna On the Analogy of the Emergent Properties of Evolved Locomotion Gaits of Simulated Snakebot
IvanTTanev.html
ThomasSRay.html
KatsunoriShimohara.html
Tanev:2007:SICE XGP: XML-based Genetic Programming Framework
IvanTTanev.html
KatsunoriShimohara.html
http___jglobal.jst.go.jp_en_public_200902245318134264 http://jglobal.jst.go.jp/en/public/200902245318134264
tanev:2007:SICEb Evolution of Human Competitive Driving Agent Operating a Scale Model of a Car
IvanTTanev.html
KatsunoriShimohara.html
http___dx.doi.org_10.1109_SICE.2007.4421235 http://dx.doi.org/10.1109/SICE.2007.4421235
Tanev:cec:2007a On Human Competitiveness of the Evolved Agent Operating a Scale Model of a Car
IvanTTanev.html
KatsunoriShimohara.html
http___dx.doi.org_10.1109_CEC.2007.4424945 http://dx.doi.org/10.1109/CEC.2007.4424945
Tanev:cec:2007b Interactive Learning of Consensus Sequences in Genetic Programming for Evolution of Snake-like Robot
IvanTTanev.html
KatsunoriShimohara.html
http___dx.doi.org_10.1109_CEC.2007.4424947 http://dx.doi.org/10.1109/CEC.2007.4424947
Tanev:2007:AASOS Learning Mutation Strategies for Evolution and Adaptation of a Simulated Snakebot
IvanTTanev.html
http___www.springer.com_west_home_computer_communications_SGWID_4-148-22-173743913-0 http://www.springer.com/west/home/computer/communications?SGWID=4-148-22-173743913-0
Tanev:2007:sigevo Towards Human Competitive Driving of Scale Model of a Car
IvanTTanev.html
KatsunoriShimohara.html
http___www.sigevolution.org_issues_pdf_SIGEVOlution200704.pdf http://www.sigevolution.org/issues/pdf/SIGEVOlution200704.pdf
Tanev:2008:JIRS Evolution of Agent, Remotely Operating a Scale Model of a Car Through a Latent Video Feedback
IvanTTanev.html
KatsunoriShimohara.html
http___dx.doi.org_10.1007_s10846-008-9212-y http://dx.doi.org/10.1007/s10846-008-9212-y
Tanev:2008:gecco Co-evolution of active sensing and locomotion gaits of simulated snake-like robot
IvanTTanev.html
KatsunoriShimohara.html
http___gpbib.cs.ucl.ac.uk_gecco2008_docs_p257.pdf http://gpbib.cs.ucl.ac.uk/gecco2008/docs/p257.pdf
http___dx.doi.org_10.1145_1389095.1389135 http://dx.doi.org/10.1145/1389095.1389135
DBLP:conf/sab/TanevYHS08 Evolution of General Driving Rules of a Driving Agent
IvanTTanev.html
HirotakaYamazaki.html
TomoyukiHiroyasu.html
KatsunoriShimohara.html
http___dx.doi.org_10.1007_978-3-540-69134-1_48 http://dx.doi.org/10.1007/978-3-540-69134-1_48
Tanev:2008:SICE Co-evolution of Sensing Morphology and Locomotion Control of Simulated Snakebot
IvanTTanev.html
KatsunoriShimohara.html
http___dx.doi.org_10.1109_SICE.2008.4654897 http://dx.doi.org/10.1109/SICE.2008.4654897
Tanev:2008:IS Epigenetic programming: Genetic programming incorporating epigenetic learning through modification of histones
IvanTTanev.html
KikuoYuta.html
http___dx.doi.org_10.1016_j.ins.2008.07.027 http://dx.doi.org/10.1016/j.ins.2008.07.027
Tanev:2009:JCMSI Evolution of Active Sensing for Wall-Following Navigation of Snake-Like Robot
IvanTTanev.html
KatsunoriShimohara.html
https___www.jstage.jst.go.jp_article_jcmsi_2_4_2_4_222__article https://www.jstage.jst.go.jp/article/jcmsi/2/4/2_4_222/_article
https___www.jstage.jst.go.jp_article_jcmsi_2_4_2_4_222__pdf https://www.jstage.jst.go.jp/article/jcmsi/2/4/2_4_222/_pdf
http___library.naist.jp_mylimedio_search_magazine.do_target_local_bibid_1317_lang_en http://library.naist.jp/mylimedio/search/magazine.do?target=local&bibid=1317&lang=en
https___library.naist.jp_mylimedio_dl_page.do_issueid_89595_tocid_100929735_page_222-228 https://library.naist.jp/mylimedio/dl/page.do?issueid=89595&tocid=100929735&page=222-228
http___dx.doi.org_10.9746_jcmsi.2.222 http://dx.doi.org/10.9746/jcmsi.2.222
Tanev:2009:ICCAS-SICE Interactively Learned Probabilistic Context-sensitive Grammar in Genetic Programming for the Evolution of Snake-like Robot
IvanTTanev.html
KatsunoriShimohara.html
http___ieeexplore.ieee.org_search_srchabstract.jsp_tp__arnumber_5333378 http://ieeexplore.ieee.org/search/srchabstract.jsp?tp=&arnumber=5333378
tanev:2010:ALR XML-based genetic programming framework: design philosophy, implementation, and applications
IvanTTanev.html
KatsunoriShimohara.html
http___link.springer.com_article_10.1007_s10015-010-0857-9 http://link.springer.com/article/10.1007/s10015-010-0857-9
http___dx.doi.org_10.1007_s10015-010-0857-9 http://dx.doi.org/10.1007/s10015-010-0857-9
Tanev:2011:alife Genetic transposition inspired incremental genetic programming for efficient coevolution of locomotion and sensing of simulated snake-like robot
TuzeKuyucu.html
IvanTTanev.html
KatsunoriShimohara.html
http___mitpress.mit.edu_books_chapters_0262297140chap68.pdf http://mitpress.mit.edu/books/chapters/0262297140chap68.pdf
Tanev:2011:GECCOcomp Incremental genetic programming via genetic transposition
IvanTTanev.html
TuzeKuyucu.html
KatsunoriShimohara.html
http___dx.doi.org_10.1145_2001858.2001870 http://dx.doi.org/10.1145/2001858.2001870
tanev:2012:EuroGP The Effect of Bloat on the Efficiency of Incremental Evolution of Simulated Snake-like Robot
IvanTTanev.html
TuzeKuyucu.html
KatsunoriShimohara.html
http___dx.doi.org_10.1007_978-3-642-29139-5_21 http://dx.doi.org/10.1007/978-3-642-29139-5_21
Tanev:2014:GPEM GP-induced and explicit bloating of the seeds in incremental GP improves evolutionary success
IvanTTanev.html
TuzeKuyucu.html
KatsunoriShimohara.html
http___dx.doi.org_10.1007_s10710-013-9192-y http://dx.doi.org/10.1007/s10710-013-9192-y
Tang:2015:Neurocomputing Discovery scientific laws by hybrid evolutionary model
FeiTang.html
SanfengChen.html
XuTan.html
TaoHu.html
GuangmingLin.html
WeiGao.html
http___dx.doi.org_10.1016_j.neucom.2012.07.058 http://dx.doi.org/10.1016/j.neucom.2012.07.058
http___www.sciencedirect.com_science_article_pii_S0925231214009199 http://www.sciencedirect.com/science/article/pii/S0925231214009199
TANG:2023:ijheatmasstransfer Development of correlations for steam condensation over a vertical tube in the presence of noncondensable gas using machine learning approach
JiguoTang.html
ShengzhiYu.html
HongtaoLiu.html
http___dx.doi.org_10.1016_j.ijheatmasstransfer.2022.123609 http://dx.doi.org/10.1016/j.ijheatmasstransfer.2022.123609
https___www.sciencedirect.com_science_article_pii_S001793102201078X https://www.sciencedirect.com/science/article/pii/S001793102201078X
Tang:2002:CILS Combining PLS with GA-GP for QSAR
KailinTang.html
TonghuaLi.html
http___www.sciencedirect.com_science_article_B6TFP-46NXJ0Y-2_2_966def2759d210eea6e5312f9a0042c7 http://www.sciencedirect.com/science/article/B6TFP-46NXJ0Y-2/2/966def2759d210eea6e5312f9a0042c7
http___dx.doi.org_10.1016_S0169-7439_02_00050-3 http://dx.doi.org/10.1016/S0169-7439(02)00050-3
Tang:2003:ACA Comparison of different partial least-squares methods in quantitative structure-activity relationships
KailinTang.html
TonghuaLi.html
http___www.sciencedirect.com_science_article_B6TF4-478B4KC-1_2_7ddb467dbe209747455621ebed20699f http://www.sciencedirect.com/science/article/B6TF4-478B4KC-1/2/7ddb467dbe209747455621ebed20699f
http___dx.doi.org_10.1016_S0003-2670_02_01257-6 http://dx.doi.org/10.1016/S0003-2670(02)01257-6
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LappoonRTang.html
MaryElaineCaliff.html
RaymondJMooney.html
http___www.cs.utexas.edu_users_ml_papers_ilpgp-ml-98.pdf http://www.cs.utexas.edu/users/ml/papers/ilpgp-ml-98.pdf
http___www.cs.utexas.edu_users_ml_papers_ilpgp-ml-98.ps.gz http://www.cs.utexas.edu/users/ml/papers/ilpgp-ml-98.ps.gz
journals/nca/TangYL17 Adopting gene expression programming to generate extension strategies for incompatible problem
LongTang.html
ChunyanYang.html
WeihuaLi.html
http___dx.doi.org_10.1007_s00521-016-2211-1 http://dx.doi.org/10.1007/s00521-016-2211-1
Tang:2011:PHM Clonal selection programming for rotational machine fault classification and diagnosis
PengTang.html
ZhaohuiGan.html
TommyWai-ShingChow.html
http___dx.doi.org_10.1109_PHM.2011.5939551 http://dx.doi.org/10.1109/PHM.2011.5939551
Tang:2018:ICSI Optimal Shape Design of an Autonomous Underwater Vehicle Based on Gene Expression Programming
QirongTang.html
YinghaoLi.html
ZhenqiangDeng.html
DiChen.html
RuiqinGuo.html
HaiHuang.html
http___dx.doi.org_10.1007_978-3-319-93818-9_13 http://dx.doi.org/10.1007/978-3-319-93818-9_13
Tang:2020:CSIRP Reducing Energy of Approximate Feature Extraction in Heterogeneous Architectures for Sensor Inference via Energy-Aware Genetic Programming
YinqiTang.html
HongyangJia.html
NaveenVerma.html
http___dx.doi.org_10.1109_TCSI.2019.2961643 http://dx.doi.org/10.1109/TCSI.2019.2961643
Tanigawa:2000:GECCO A Study on Efficient Generation of Decision Trees Using Genetic Programming
ToruTanigawa.html
QiangfuZhao.html
http___gpbib.cs.ucl.ac.uk_gecco2000_NN260.pdf http://gpbib.cs.ucl.ac.uk/gecco2000/NN260.pdf
http___www.u-aizu.ac.jp__qf-zhao_CONTRIBUTION_gecco2000.ps.Z http://www.u-aizu.ac.jp/~qf-zhao/CONTRIBUTION/gecco2000.ps.Z
http___citeseer.ist.psu.edu_498621.html http://citeseer.ist.psu.edu/498621.html
taniguchi:2001:micscmagp Managing Information Complexity in a Supply Chain Model by Agent-Based Genetic Programming
KenTaniguchi.html
SetsuyaKurahashi.html
TakaoTerano.html
Taniguchi:2001:CEF Managing Information Complexity in a Supply Chain Model by Agent-Based Genetic Programming
KenTaniguchi.html
SetsuyaKurahashi.html
TakaoTerano.html
http___ideas.repec.org_p_sce_scecf1_238.html http://ideas.repec.org/p/sce/scecf1/238.html
http___econpapers.repec.org_paper_scescecf1_238.htm http://econpapers.repec.org/paper/scescecf1/238.htm
Taniguchi:2002:MIC Managing Information Complexity of Supply Chains via Agent-Based Genetic Programming
KenTaniguchi.html
SetsuyaKurahashi.html
TakaoTerano.html
http___dx.doi.org_10.1007_3-540-45683-X_67 http://dx.doi.org/10.1007/3-540-45683-X_67
taniguchi:ktd:gecco2004 Keeping the Diversity with Small Populations Using Logic-Based Genetic Programming
KenTaniguchi.html
TakaoTerano.html
http___dx.doi.org_10.1007_b98645 http://dx.doi.org/10.1007/b98645
taniguchi:2004:KBIIES Analyzing Dynamics of a Supply Chain Using Logic-Based Genetic Programming
KenTaniguchi.html
TakaoTerano.html
http___link.springer.com_chapter_10.1007_978-3-540-30132-5_66 http://link.springer.com/chapter/10.1007/978-3-540-30132-5_66
http___dx.doi.org_10.1007_978-3-540-30132-5_66 http://dx.doi.org/10.1007/978-3-540-30132-5_66
oai:inderscience.com:7267 Managing information complexity of supply chains via agent-based genetic programming
KenTaniguchi.html
TakaoTerano.html
http___www.inderscience.com_link.php_id_7267 http://www.inderscience.com/link.php?id=7267
DBLP:conf/gecco/TanjiI09 Program optimization by random tree sampling
MakotoTanji.html
HitoshiIba.html
http___dx.doi.org_10.1145_1569901.1570053 http://dx.doi.org/10.1145/1569901.1570053
Tanji:2010:gecco ConBreO: a music performance rendering system using hybrid approach of IEC and automated evolution
MakotoTanji.html
HitoshiIba.html
http___dx.doi.org_10.1145_1830483.1830711 http://dx.doi.org/10.1145/1830483.1830711
500000550739 Program Evolution using Nonparametric Probabilistic Model
MakotoTanji.html
http___ci.nii.ac.jp_naid_500000550739 http://ci.nii.ac.jp/naid/500000550739
http___iss.ndl.go.jp_books_R100000002-I023389085-00 http://iss.ndl.go.jp/books/R100000002-I023389085-00
Tanjil:2019:evomusart Deep Learning Concepts for Evolutionary Art
FazleTanjil.html
BrianJRoss.html
http___dx.doi.org_10.1007_978-3-030-16667-0_1 http://dx.doi.org/10.1007/978-3-030-16667-0_1
tannenbaum:2000:CPPGP Co-Evolution of Predator and Prey using Genetic Programming
DavidTannenbaum.html
tanomaru:1996:tm Automatic Generation of Turing Machines by a Genetic Approach
JulioTanomaru.html
AkioAzuma.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_tanomaru_1996_tm.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/tanomaru_1996_tm.pdf
tanomaru:1998:etmx Evolving Turing Machines from Examples
JulioTanomaru.html
http___dx.doi.org_10.1007_BFb0026599 http://dx.doi.org/10.1007/BFb0026599
DBLP:conf/icinco/TantauPWO19 Structure and Parameter Identification of Process Models with Hard Non-linearities for Industrial Drive Trains by Means of Degenerate Genetic Programming
MathiasTantau.html
LarsPerner.html
MarkWielitzka.html
TobiasOrtmaier.html
https___www.repo.uni-hannover.de_handle_123456789_10472 https://www.repo.uni-hannover.de/handle/123456789/10472
https___doi.org_10.5220_0007949003680376 https://doi.org/10.5220/0007949003680376
http___dx.doi.org_10.5220_0007949003680376 http://dx.doi.org/10.5220/0007949003680376
https___dblp.org_rec_conf_icinco_TantauPWO19.bib https://dblp.org/rec/conf/icinco/TantauPWO19.bib
Tanyildizi20102612 Modeling mechanical performance of lightweight concrete containing silica fume exposed to high temperature using genetic programming
HarunTanyildizi.html
AbdulkadirCevik.html
http___dx.doi.org_10.1016_j.conbuildmat.2010.05.001 http://dx.doi.org/10.1016/j.conbuildmat.2010.05.001
http___www.sciencedirect.com_science_article_B6V2G-509SDKG-1_2_f514159db9cb4d6dce74ceab7beca37b http://www.sciencedirect.com/science/article/B6V2G-509SDKG-1/2/f514159db9cb4d6dce74ceab7beca37b
TANZIFI:2018:JCIS Modelling of dye adsorption from aqueous solution on polyaniline/carboxymethyl cellulose/TiO2 nanocomposites
MarjanTanzifi.html
MohammadTavakkoliYaraki.html
MojtabaKarami.html
SamiraKarimi.html
AsiehDehghaniKiadehi.html
KianoushKarimipour.html
ShaobinWang.html
http___dx.doi.org_10.1016_j.jcis.2018.02.059 http://dx.doi.org/10.1016/j.jcis.2018.02.059
http___www.sciencedirect.com_science_article_pii_S0021979718302078 http://www.sciencedirect.com/science/article/pii/S0021979718302078
TANZIFI:2020:Chemosphere Carboxymethyl cellulose improved adsorption capacity of polypyrrole/CMC composite nanoparticles for removal of reactive dyes: Experimental optimization and DFT calculation
MarjanTanzifi.html
MohammadTavakkoliYaraki.html
ZahraBeiramzadeh.html
LeilyHeidarpoorSaremi.html
MohammadNajafifard.html
HojatollahMoradi.html
MohsenMansouri.html
MojtabaKarami.html
HosseinBazgir.html
http___dx.doi.org_10.1016_j.chemosphere.2020.127052 http://dx.doi.org/10.1016/j.chemosphere.2020.127052
http___www.sciencedirect.com_science_article_pii_S0045653520312455 http://www.sciencedirect.com/science/article/pii/S0045653520312455
Tao:2020:SMC Benign: An Automatic Optimization Framework for the Logic of Swarm Behaviors
JingjingTao.html
XiaominZhu.html
LiMa.html
MengWu.html
WeidongBao.html
JiWang.html
http___dx.doi.org_10.1109_SMC42975.2020.9283409 http://dx.doi.org/10.1109/SMC42975.2020.9283409
Tao:2021:BigDIA A Logical Transformation Method of the Motion Rules for Swarms
JingjingTao.html
XiaominZhu.html
LiMa.html
MengWu.html
XiaoqingLi.html
LiyuanNiu.html
http___dx.doi.org_10.1109_BigDIA53151.2021.9619739 http://dx.doi.org/10.1109/BigDIA53151.2021.9619739
Tao:2022:CEC Multi-objective Grammar-guided Genetic Programming with Code Similarity Measurement for Program Synthesis
NingTao.html
AnthonyVentresque.html
TakfarinasSaber.html
http___dx.doi.org_10.1109_CEC55065.2022.9870312 http://dx.doi.org/10.1109/CEC55065.2022.9870312
tao:2022:OL Assessing Similarity-Based Grammar-Guided Genetic Programming Approaches for Program Synthesis
NingTao.html
AnthonyVentresque.html
TakfarinasSaber.html
http___link.springer.com_chapter_10.1007_978-3-031-22039-5_19 http://link.springer.com/chapter/10.1007/978-3-031-22039-5_19
http___dx.doi.org_10.1007_978-3-031-22039-5_19 http://dx.doi.org/10.1007/978-3-031-22039-5_19
Tao:2023:LA-CCI Program Synthesis with Generative Pre-trained Transformers and Grammar-Guided Genetic Programming Grammar
NingTao.html
AnthonyVentresque.html
TakfarinasSaber.html
http___dx.doi.org_10.1109_LA-CCI58595.2023.10409384 http://dx.doi.org/10.1109/LA-CCI58595.2023.10409384
Tao:2010:ICONIP Dynamic Population Variation Genetic Programming with Kalman Operator for Power System Load Modeling
YanyunTao.html
MingluLi.html
JianCao.html
http___dx.doi.org_10.1007_978-3-642-17537-4_64 http://dx.doi.org/10.1007/978-3-642-17537-4_64
Tao:2010:CiSE Distribution-Estimation Gene Expression Programming
YanyunTao.html
WenhaoYuan.html
JiajunLin.html
MingluLi.html
http___dx.doi.org_10.1109_CISE.2010.5677035 http://dx.doi.org/10.1109/CISE.2010.5677035
Tao:2012:JSJU Genetic programming using dynamic population variation for computational efforts reduction in system modeling
YanyunTao.html
JianCao.html
MingluLi.html
http___link.springer.com_article_10.1007_s12204-012-1251-7 http://link.springer.com/article/10.1007/s12204-012-1251-7
http___dx.doi.org_10.1007_s12204-012-1251-7 http://dx.doi.org/10.1007/s12204-012-1251-7
Tao:2012:CEC Using Module-level Evolvable hardware Approach in Design of Sequential Logic Circuits
YanyunTao.html
JianCao.html
YuzhenZhang.html
JiajunLin.html
MingluLi.html
http___dx.doi.org_10.1109_CEC.2012.6256546 http://dx.doi.org/10.1109/CEC.2012.6256546
journals/cai/TaoLC13 A New Dynamic Population Variation in Genetic Programming
YanyunTao.html
MingluLi.html
JianCao.html
http___www.cai.sk_ojs_index.php_cai_article_view_1467 http://www.cai.sk/ojs/index.php/cai/article/view/1467
http___arxiv.org_abs_1304.3779 http://arxiv.org/abs/1304.3779
Tao:2013:GPEM A module-level three-stage approach to the evolutionary design of sequential logic circuits
YanyunTao.html
YuzhenZhang.html
JianCao.html
YalongHuang.html
http___dx.doi.org_10.1007_s10710-012-9178-1 http://dx.doi.org/10.1007/s10710-012-9178-1
Tao:2014:GECCOcomp A projection-based decomposition in EHW method for design of relatively large circuits
YanyunTao.html
YuzhenZhang.html
LijunZhang.html
ChaoGu.html
http___doi.acm.org_10.1145_2598394.2598411 http://doi.acm.org/10.1145/2598394.2598411
http___dx.doi.org_10.1145_2598394.2598411 http://dx.doi.org/10.1145/2598394.2598411
Tao:2014:FSE Automatically Generated Patches As Debugging Aids: A Human Study
YidaTao.html
JindaeKim.html
SunghunKim.html
ChangXu.html
http___doi.acm.org_10.1145_2635868.2635873 http://doi.acm.org/10.1145/2635868.2635873
http___dx.doi.org_10.1145_2635868.2635873 http://dx.doi.org/10.1145/2635868.2635873
Tao:2008:ieeeICCIS Knowledge evolutionary algorithm based on granular computing
Yong-QinTao.html
Du-WuCui.html
Tai-ShanYan.html
http___dx.doi.org_10.1109_ICCIS.2008.4670968 http://dx.doi.org/10.1109/ICCIS.2008.4670968
Tao:2018:ieeeJBHI Evolutionary ensemble learning algorithm to modeling of warfarin dose prediction for Chinese
YanyunTao.html
YenmingJChen.html
XiangyuFu.html
BinJiang.html
YuzhenZhang.html
http___dx.doi.org_10.1109_JBHI.2018.2812165 http://dx.doi.org/10.1109/JBHI.2018.2812165
taou2016towards Towards Intelligent Biological Control: Controlling Boolean Networks with Boolean Networks
NadiaSolimeTaou.html
DavidWCorne.html
MichaelALones.html
http___dx.doi.org_10.1007_978-3-319-31204-0_23 http://dx.doi.org/10.1007/978-3-319-31204-0_23
Taou:2018:EuroGP Towards In Vivo Genetic Programming: Evolving Boolean Networks to Determine Cell States
NadiaSolimeTaou.html
MichaelALones.html
http___dx.doi.org_10.1007_978-3-319-77553-1_10 http://dx.doi.org/10.1007/978-3-319-77553-1_10
Tapiador:2010:CIT Learning Autonomic Security Reconfiguration Policies
JuanManuelEstevez-Tapiador.html
JohnAClark.html
http___dx.doi.org_10.1109_CIT.2010.168 http://dx.doi.org/10.1109/CIT.2010.168
Tapkin:2013:MR Rutting prediction of asphalt mixtures modified by polypropylene fibers via repeated creep testing by utilising genetic programming
SerkanTapkin.html
AbdulkadirCevik.html
UnUsar.html
ErenGulsan.html
http___www.scielo.br_scielo.php_pid_S1516-14392013000200003_script_sci_arttext http://www.scielo.br/scielo.php?pid=S1516-14392013000200003&script=sci_arttext
http___dx.doi.org_10.1590_S1516-14392013005000012 http://dx.doi.org/10.1590/S1516-14392013005000012
Tappler:2019:arxiv Learning Timed Automata via Genetic Programming
MartinTappler.html
BernhardKAichernig.html
KimGuldstrandLarsen.html
FlorianLorber.html
http___arxiv.org_abs_1808.07744 http://arxiv.org/abs/1808.07744
Tarasevich:2020:TSP Modeling and Identification of an Industrial Hot Water Boiler
MaksimilianTarasevich.html
AlekseiTepljakov.html
EduardPetlenkov.html
VitaliVansovits.html
http___dx.doi.org_10.1109_TSP49548.2020.9163503 http://dx.doi.org/10.1109/TSP49548.2020.9163503
Tarasevich:2021:TSP Genetic Programming based Identification of an Industrial Process
MaksimilianTarasevich.html
AlekseiTepljakov.html
EduardPetlenkov.html
VitaliVansovits.html
http___dx.doi.org_10.1109_TSP52935.2021.9522588 http://dx.doi.org/10.1109/TSP52935.2021.9522588
Tarekegn:2020:EuroGP Detection of Frailty using Genetic Programming : The Case of Older People in Piedmont, Italy
AdaneNegaTarekegn.html
FulvioRicceri.html
GiuseppeCosta.html
ElisaFerracin.html
MarioGiacobini.html
https___www.youtube.com_watch_v_uUPibE2s5_0 https://www.youtube.com/watch?v=uUPibE2s5_0
http___dx.doi.org_10.1007_978-3-030-44094-7_15 http://dx.doi.org/10.1007/978-3-030-44094-7_15
Tarlao:thesis Genetic Programming Techniques for Regular Expression inference from Examples
FabianoTarlao.html
http___hdl.handle.net_11368_2908187 http://hdl.handle.net/11368/2908187
https___arts.units.it_retrieve_handle_11368_2908187_187501_Thesis_20PHD_20Fabiano_20Tarlao.pdf https://arts.units.it/retrieve/handle/11368/2908187/187501/Thesis%20PHD%20Fabiano%20Tarlao.pdf
tarnikova:2000:DSSNPGP Discovering Strategies for Solving a Number Puzzle using Genetic Programming
YuliyaTarnikova.html
Tashakori-Abkenar:2017:ieeeTenergyC Fuel Cell Power Management Using Genetic Expression Programming in All-Electric Ships
AlirezaTashakoriAbkenar.html
AliNazari.html
ShanthaDGaminiJayasinghe.html
AjayKapoor.html
MichaelNegnevitsky.html
http___dx.doi.org_10.1109_TEC.2017.2693275 http://dx.doi.org/10.1109/TEC.2017.2693275
conf/emo/TatsukawaNOF13 A New Multiobjective Genetic Programming for Extraction of Design Information from Non-dominated Solutions
TomoakiTatsukawa.html
TakuNonomura.html
AkiraOyama.html
KozoFujii.html
http___dx.doi.org_10.1007_978-3-642-37140-0 http://dx.doi.org/10.1007/978-3-642-37140-0
http___dx.doi.org_10.1007_978-3-642-37140-0_40 http://dx.doi.org/10.1007/978-3-642-37140-0_40
Tauritz:2016:GECCOcomp Hyper-Heuristics
DanielRTauritz.html
JohnRWoodward.html
http___dx.doi.org_10.1145_2908961.2926978 http://dx.doi.org/10.1145/2908961.2926978
Tauritz:2019:GECCOcomp Hyper-heuristics tutorial
DanielRTauritz.html
JohnRWoodward.html
http___dx.doi.org_10.1145_3319619.3323382 http://dx.doi.org/10.1145/3319619.3323382
Tauritz:2020:GECCOcomp Hyper-Heuristics Tutorial
DanielRTauritz.html
JohnRWoodward.html
https___doi.org_10.1145_3377929.3389855 https://doi.org/10.1145/3377929.3389855
http___dx.doi.org_10.1145_3377929.3389855 http://dx.doi.org/10.1145/3377929.3389855
Tavafi:2017:GECCO A Hybrid Genetic Programming Decision Making System for RoboCup Soccer Simulation
AmirTavafi.html
WolfgangBanzhaf.html
http___doi.acm.org_10.1145_3071178.3071194 http://doi.acm.org/10.1145/3071178.3071194
http___dx.doi.org_10.1145_3071178.3071194 http://dx.doi.org/10.1145/3071178.3071194
tavares:2004:eurogp On the Evolution of Evolutionary Algorithms
JorgeTavares.html
PenousalMachado.html
FAmilcarCardoso.html
FranciscoJoseBaptistaPereira.html
ErnestoCosta.html
http___www.cisuc.uc.pt_acg_dlfile.php_fn_583_pub_paper-eurogp-crc.pdf http://www.cisuc.uc.pt/acg/dlfile.php?fn=583_pub_paper-eurogp-crc.pdf
http___dx.doi.org_10.1007_978-3-540-24650-3_37 http://dx.doi.org/10.1007/978-3-540-24650-3_37
Tavares:2010:PPSN Evolving Strategies for Updating Pheromone Trails: A Case Study with the TSP
JorgeTavares.html
FranciscoJoseBaptistaPereira.html
http___dx.doi.org_10.1007_978-3-642-15871-1_53 http://dx.doi.org/10.1007/978-3-642-15871-1_53
tavares:2011:EuroGP Designing Pheromone Update Strategies with Strongly Typed Genetic Programming
JorgeTavares.html
FranciscoJoseBaptistaPereira.html
http___dx.doi.org_10.1007_978-3-642-20407-4_8 http://dx.doi.org/10.1007/978-3-642-20407-4_8
Tavares:2011:GECCO Towards the development of self-ant systems
JorgeTavares.html
FranciscoJoseBaptistaPereira.html
http___dx.doi.org_10.1145_2001576.2001838 http://dx.doi.org/10.1145/2001576.2001838
tavares:2012:EuroGP Automatic Design of Ant Algorithms with Grammatical Evolution
JorgeTavares.html
FranciscoJoseBaptistaPereira.html
http___dx.doi.org_10.1007_978-3-642-29139-5_18 http://dx.doi.org/10.1007/978-3-642-29139-5_18
Tay:2008:GPEM Environmental effects on the coevolution of pursuit and evasion strategies
JocCingTay.html
CheunHouTng.html
CheeSiongChan.html
http___dx.doi.org_10.1007_s10710-007-9049-3 http://dx.doi.org/10.1007/s10710-007-9049-3
Tay2008453 Evolving dispatching rules using genetic programming for solving multi-objective flexible job-shop problems
JocCingTay.html
NhuBinhHo.html
http___dx.doi.org_10.1016_j.cie.2007.08.008 http://dx.doi.org/10.1016/j.cie.2007.08.008
http___www.sciencedirect.com_science_article_B6V27-4PKXBN1-1_2_5821882f2443c0fb1fff7c462c34e793 http://www.sciencedirect.com/science/article/B6V27-4PKXBN1-1/2/5821882f2443c0fb1fff7c462c34e793
TaySHX Comprehensive framework for hydrodynamic modelling and prediction of Singapore regional water
SereneHuiXinTay.html
http___www.scholarbank.nus.edu.sg_handle_10635_119622 http://www.scholarbank.nus.edu.sg/handle/10635/119622
http___www.scholarbank.nus.edu.sg_bitstream_handle_10635_119622_TaySHX.pdf http://www.scholarbank.nus.edu.sg/bitstream/handle/10635/119622/TaySHX.pdf
Tay:2016:PE Understanding Water Level Residuals in Malacca Strait Using Genetic Programming
SereneHuiXinTay.html
VladanBabovic.html
http___dx.doi.org_10.1016_j.proeng.2016.07.458 http://dx.doi.org/10.1016/j.proeng.2016.07.458
http___www.sciencedirect.com_science_article_pii_S1877705816318471 http://www.sciencedirect.com/science/article/pii/S1877705816318471
Tayarani:2014:ieeeTEC Meta-heuristic Algorithms in Car Engine Design: a Literature Survey
Mohammad-HTayarani-N.html
XinYao.html
HongmingXu.html
http___dx.doi.org_10.1109_TEVC.2014.2355174 http://dx.doi.org/10.1109/TEVC.2014.2355174
taylor:1998:gadiirsab Genetic Algorithm Decoding for the Interpretation of Infra-red Spectra in Analytical Biotechnology
JanetTaylor.html
JemJRowland.html
RichardJGilbert.html
AlunJones.html
MichaelKWinson.html
DouglasBKell.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_csrp-98-10.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/csrp-98-10.pdf
taylor:1998:GPiftis Genetic Programming in the Interpretation of Fourier Transform Infrared Spectra: Quantification of Metabolites of Pharmaceutical Importance
JanetTaylor.html
JemJRowland.html
RoystonGoodacre.html
RichardJGilbert.html
MichaelKWinson.html
DouglasBKell.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_gp1998_taylor_1998_GPiftis.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/gp1998/taylor_1998_GPiftis.pdf
taylor:1998:GParsabs Genetic Programming Applied to the Rapid Spectroscopic Analysis of Biological Samples
JanetTaylor.html
JemJRowland.html
DouglasBKell.html
taylor:1998:dpmsGP:aises The deconvolution of pyrolysis mass spectra using genetic programming: application to the identification of some Eubacterium species
JanetTaylor.html
RoystonGoodacre.html
WilliamGWade.html
JemJRowland.html
DouglasBKell.html
http___dx.doi.org_10.1016_S0378-1097_98_00038-X http://dx.doi.org/10.1016/S0378-1097(98)00038-X
JanetTaylor:2000:thesis Genetic Programming and Genetic Algorithms in the Spectroscopic Analysis of Biological Samples
JanetTaylor.html
http___tinyurl.com_cshwk97 http://tinyurl.com/cshwk97
taylor:2001:sasgsam Spectral Analysis via Supervised Genetic Search with Application-specific Mutations
JanetTaylor.html
JemJRowland.html
DouglasBKell.html
http___dx.doi.org_10.1109_CEC.2001.934430 http://dx.doi.org/10.1109/CEC.2001.934430
taylor:1994:juggling Evolution by Genetic Programming of a Spatial Robot Juggling Algorithm
StewartNTaylor.html
stewart:1995:juggling Evolution by Genetic Programming of a Spatial Robot Juggling Control Algorithm
StewartNTaylor.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_stewart_1995_juggling.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/stewart_1995_juggling.pdf
TJTaylor:thesis From Artificial Evolution to Artificial Life
TimTaylor.html
http___homepages.inf.ed.ac.uk_timt_papers_thesis_ http://homepages.inf.ed.ac.uk/timt/papers/thesis/
http___homepages.inf.ed.ac.uk_timt_papers_thesis_thesis.ps.gz http://homepages.inf.ed.ac.uk/timt/papers/thesis/thesis.ps.gz
http___homepages.inf.ed.ac.uk_timt_papers_thesis_thesis.pdf http://homepages.inf.ed.ac.uk/timt/papers/thesis/thesis.pdf
http___www.tim-taylor.com_papers_thesis_ http://www.tim-taylor.com/papers/thesis/
tchernev:1998:fxNm Forth Crossover Is Not a Macromutation?
ElkoTchernev.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_gp1998_tchernev_1998_fxNm.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/gp1998/tchernev_1998_fxNm.pdf
tchernev:2002:gecco:lbp Stack-Correct Crossover Methods in Genetic Programming
ElkoTchernev.html
tchernev:2004:lbp Control structures in linear and stack-based Genetic Programming
ElkoTchernev.html
DhananjaySPhatak.html
http___gpbib.cs.ucl.ac.uk_gecco2004_LBP041.pdf http://gpbib.cs.ucl.ac.uk/gecco2004/LBP041.pdf
Tchernev:gecco05lbp Queue-based Genetic Programming
ElkoTchernev.html
DhananjaySPhatak.html
http___gpbib.cs.ucl.ac.uk_gecco2005lbp_papers_65-tchernev.pdf http://gpbib.cs.ucl.ac.uk/gecco2005lbp/papers/65-tchernev.pdf
hampo:toolkit Genetic Programming Toolkit
CTebbe.html
RichardJHampo.html
BruceDBryant.html
KennethAMarko.html
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FernandoLopezPena.html
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LindellOrmsbee.html
http___dx.doi.org_10.1016_j.jhydrol.2009.06.014 http://dx.doi.org/10.1016/j.jhydrol.2009.06.014
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TobiasTeich.html
http___www.tu-chemnitz.de_wirtschaft_bwl7_bibtex.php_lit_id_307 http://www.tu-chemnitz.de/wirtschaft/bwl7/bibtex.php?lit_id=307
https___www.tu-chemnitz.de_forschung_promotionen.php_jahr_1998_fakult_Wirtschaftswissenschaften https://www.tu-chemnitz.de/forschung/promotionen.php?jahr=1998&fakult=Wirtschaftswissenschaften
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AlejandroCabrera-Andrade.html
MariaEugeniaSanchez.html
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AkbarTelikani.html
AHGandomi.html
AsadollahShahbahrami.html
http___www.sciencedirect.com_science_article_pii_S002002552030164X http://www.sciencedirect.com/science/article/pii/S002002552030164X
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AkbarTelikani.html
AmirhessamTahmassebi.html
WolfgangBanzhaf.html
AHGandomi.html
https___ro.uow.edu.au_test2021_3261_ https://ro.uow.edu.au/test2021/3261/
https___dl.acm.org_doi_fullHtml_10.1145_3467477 https://dl.acm.org/doi/fullHtml/10.1145/3467477
http___dx.doi.org_10.1145_3467477 http://dx.doi.org/10.1145/3467477
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AstroTeller.html
http___www.cs.cmu.edu_afs_cs_usr_astro_public_papers_LearnModels.ps http://www.cs.cmu.edu/afs/cs/usr/astro/public/papers/LearnModels.ps
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AstroTeller.html
http___www.cs.cmu.edu_afs_cs_usr_astro_public_papers_MentalModels.ps http://www.cs.cmu.edu/afs/cs/usr/astro/public/papers/MentalModels.ps
http___www.amazon.co.uk_Advances-Genetic-Programming-Complex-Adaptive_dp_0262111888 http://www.amazon.co.uk/Advances-Genetic-Programming-Complex-Adaptive/dp/0262111888
http___cognet.mit.edu_sites_default_files_books_9780262277181_pdfs_9780262277181_chap9.pdf http://cognet.mit.edu/sites/default/files/books/9780262277181/pdfs/9780262277181_chap9.pdf
http___dx.doi.org_10.7551_mitpress_1108.003.0014 http://dx.doi.org/10.7551/mitpress/1108.003.0014
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AstroTeller.html
http___www.cs.cmu.edu_afs_cs_usr_astro_public_papers_Curiosities.ps http://www.cs.cmu.edu/afs/cs/usr/astro/public/papers/Curiosities.ps
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_ftp.io.com_papers_Curiosities.ps http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/ftp.io.com/papers/Curiosities.ps
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AstroTeller.html
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http___dx.doi.org_10.1109_ICEC.1994.350027 http://dx.doi.org/10.1109/ICEC.1994.350027
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AstroTeller.html
ManuelaVeloso.html
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AstroTeller.html
ManuelaVeloso.html
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AstroTeller.html
ManuelaVeloso.html
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AstroTeller.html
ManuelaVeloso.html
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AstroTeller.html
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AstroTeller.html
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http___www.aaai.org_Library_Symposia_Fall_fs95-01.php http://www.aaai.org/Library/Symposia/Fall/fs95-01.php
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AstroTeller.html
ManuelaVeloso.html
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AstroTeller.html
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AstroTeller.html
ManuelaVeloso.html
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AstroTeller.html
ManuelaVeloso.html
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DavidAndre.html
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AstroTeller.html
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AstroTeller.html
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AstroTeller.html
ManuelaVeloso.html
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JamesTemperton.html
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GianlucaTempesti.html
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GuillaumeZufferey.html
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BinTeng.html
YufengShi.html
XinWang.html
YunchuanSun.html
http___dx.doi.org_10.1016_j.procs.2021.04.112 http://dx.doi.org/10.1016/j.procs.2021.04.112
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YifeiTeng.html
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ZhenjunHong.html
XuhuiWu.html
YunnaTian.html
DongniLi.html
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AtteTenkanen.html
http___dx.doi.org_10.1109_ICICISYS.2009.5357625 http://dx.doi.org/10.1109/ICICISYS.2009.5357625
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LilianaTeodorescu.html
http___dx.doi.org_10.1109_NSSMIC.2005.1596225 http://dx.doi.org/10.1109/NSSMIC.2005.1596225
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LilianaTeodorescu.html
http___dx.doi.org_10.1109_TNS.2006.878571 http://dx.doi.org/10.1109/TNS.2006.878571
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LilianaTeodorescu.html
DanielSherwood.html
http___dx.doi.org_10.1016_j.cpc.2007.10.003 http://dx.doi.org/10.1016/j.cpc.2007.10.003
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AnkurMTeredesai.html
JaehwaPark.html
VenugopalGovindaraju.html
http___dx.doi.org_10.1007_3-540-45355-5_30 http://dx.doi.org/10.1007/3-540-45355-5_30
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AnkurMTeredesai.html
ERatzlaff.html
JSubrahmonia.html
VenugopalGovindaraju.html
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AnkurMTeredesai.html
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AnkurMTeredesai.html
VenugopalGovindaraju.html
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AnkurMTeredesai.html
VenugopalGovindaraju.html
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GunelJahangirova.html
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MauroPezze.html
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http___dx.doi.org_10.1145_3368089.3409758 http://dx.doi.org/10.1145/3368089.3409758
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https___doi.org_10.5281_zenodo.3877079 https://doi.org/10.5281/zenodo.3877079
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ValerioTerragni.html
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MDavidTerrio.html
MalcolmHeywood.html
http___users.cs.dal.ca__mheywood_X-files_Publications_CCECE-272.pdf http://users.cs.dal.ca/~mheywood/X-files/Publications/CCECE-272.pdf
http___citeseer.ist.psu.edu_758918.html http://citeseer.ist.psu.edu/758918.html
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MDavidTerrio.html
MalcolmHeywood.html
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MichaelATerry.html
JonathanMarcus.html
MatthewFarrell.html
VarunAggarwal.html
Una-MayO'Reilly.html
http___people.csail.mit.edu_unamay_publications-dir_grace-evohot.pdf http://people.csail.mit.edu/unamay/publications-dir/grace-evohot.pdf
http___dx.doi.org_10.1007_11732242_30 http://dx.doi.org/10.1007/11732242_30
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OzlemTerzi.html
MustafaErolKeskin.html
http___www.ansinet.org_fulltext_jas_jas53508-512.pdf http://www.ansinet.org/fulltext/jas/jas53508-512.pdf
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OzlemTerzi.html
http___dx.doi.org_10.1007_s00521-012-1027-x http://dx.doi.org/10.1007/s00521-012-1027-x
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OzlemTerzi.html
http___dx.doi.org_10.3233_IFS-141185 http://dx.doi.org/10.3233/IFS-141185
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SerdalTerzi.html
http___www.ansinet.org_fulltext_jas_jas52309-314.pdf http://www.ansinet.org/fulltext/jas/jas52309-314.pdf
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SaeidTeshnehdel.html
SeyedasgharMirnezami.html
AnisehSaber.html
AliPourzangbar.html
AbdulGhaniOlabi.html
http___dx.doi.org_10.1016_j.seta.2019.100569 http://dx.doi.org/10.1016/j.seta.2019.100569
http___www.sciencedirect.com_science_article_pii_S2213138819305697 http://www.sciencedirect.com/science/article/pii/S2213138819305697
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AndreaGBTettamanzi.html
http___citeseer.ist.psu.edu_cache_papers_cs_14001_http_zSzzSzmago.crema.unimi.itzSzGP96.pdf_tettamanzi96genetic.pdf http://citeseer.ist.psu.edu/cache/papers/cs/14001/http:zSzzSzmago.crema.unimi.itzSzGP96.pdf/tettamanzi96genetic.pdf
http___citeseer.ist.psu.edu_296420.html http://citeseer.ist.psu.edu/296420.html
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MichaelTetteh.html
DouglasMotaDias.html
ConorRyan.html
http___dx.doi.org_10.1007_978-3-030-72812-0_10 http://dx.doi.org/10.1007/978-3-030-72812-0_10
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RemcoTeunen.html
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OlivierTeytaud.html
MarcSchoenauer.html
SylvainGelly.html
NicolasBredeche.html
http___hal.archives-ouvertes.fr_docs_00_04_19_72_PDF_antibloatGecco2005_long_version.pdf http://hal.archives-ouvertes.fr/docs/00/04/19/72/PDF/antibloatGecco2005_long_version.pdf
http___eprints.pascal-network.org_archive_00001586_ http://eprints.pascal-network.org/archive/00001586/
http___eprints.pascal-network.org_archive_00001586_01_eabloat.pdf http://eprints.pascal-network.org/archive/00001586/01/eabloat.pdf
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OlivierTeytaud.html
http___dx.doi.org_10.1109_CEC.2006.1688320 http://dx.doi.org/10.1109/CEC.2006.1688320
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OlivierTeytaud.html
http___dx.doi.org_10.1007_978-3-540-74593-8_24 http://dx.doi.org/10.1007/978-3-540-74593-8_24
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KanchanThadani.html
Ashutosh.html
ValadiKrishnamoorthyJayaraman.html
VijayraghavanSundararajan.html
http___ieeexplore.ieee.org_iel5_4289832_4289833_04289849.pdf http://ieeexplore.ieee.org/iel5/4289832/4289833/04289849.pdf
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.138.5378 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.138.5378
http___ieeexplore.ieee.org_stamp_stamp.jsp_tp__arnumber_4289849_userType__tag_1 http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4289849&userType=&tag=1
http___dx.doi.org_10.1109_ADCOM.2006.4289849 http://dx.doi.org/10.1109/ADCOM.2006.4289849
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RuckThawonmas.html
YoshinoriTani.html
http___cilab.sejong.ac.kr_cig2011_proceedings_CIG2011_papers_paper6.pdf http://cilab.sejong.ac.kr/cig2011/proceedings/CIG2011/papers/paper6.pdf
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JamesTheiler.html
NealRHarvey.html
StevenPBrumby.html
JohnJSzymanski.html
SteveAlferink.html
SimonPerkins.html
ReidBPorter.html
JeffreyJBloch.html
http___public.lanl.gov_jt_Papers_ga-spie.ps http://public.lanl.gov/jt/Papers/ga-spie.ps
http___citeseer.ist.psu.edu_theiler99evolving.html http://citeseer.ist.psu.edu/theiler99evolving.html
http___dx.doi.org_10.1117_12.366303 http://dx.doi.org/10.1117/12.366303
http___www.osti.gov_servlets_purl_772989-pvDHZz_native_ http://www.osti.gov/servlets/purl/772989-pvDHZz/native/
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TheodorosTheodoridis.html
AlexandrosAgapitos.html
HuoshengHu.html
SimonMLucas.html
http___dx.doi.org_10.1109_ROBOT.2008.4543676 http://dx.doi.org/10.1109/ROBOT.2008.4543676
Theodoridis:2009:ICIA Mechanical Attributes for Modeling and Classification of Physical Activities
TheodorosTheodoridis.html
AlexandrosAgapitos.html
HuoshengHu.html
SimonMLucas.html
http___dx.doi.org_10.1109_ICINFA.2009.5204980 http://dx.doi.org/10.1109/ICINFA.2009.5204980
Theodoridis:2010:ICIA A QA-TSK fuzzy model vs evolutionary decision trees towards nonlinear action pattern recognition
TheodorosTheodoridis.html
AlexandrosAgapitos.html
HuoshengHu.html
http___dx.doi.org_10.1109_ICINFA.2010.5512225 http://dx.doi.org/10.1109/ICINFA.2010.5512225
Theodoridis:2010:IROS Evolving aggressive biomechanical models with genetic programming
TheodorosTheodoridis.html
PanosTheodorakopoulos.html
HuoshengHu.html
http___dx.doi.org_10.1109_IROS.2010.5650485 http://dx.doi.org/10.1109/IROS.2010.5650485
Theodoridis:2011:GECCO A gaussian groundplan projection area model for evolving probabilistic classifiers
TheodorosTheodoridis.html
AlexandrosAgapitos.html
HuoshengHu.html
http___dx.doi.org_10.1145_2001576.2001757 http://dx.doi.org/10.1145/2001576.2001757
Theodoridis:2013:ieeeHMS Modeling Aggressive Behaviors With Evolutionary Taxonomers
TheodorosTheodoridis.html
HuoshengHu.html
http___dx.doi.org_10.1109_TSMC.2013.2252337 http://dx.doi.org/10.1109/TSMC.2013.2252337
conf/eann/TheofilatosDAGPLM12 Efficient Computational Prediction and Scoring of Human Protein-Protein Interactions Using a Novel Gene Expression Programming Methodology
KonstantinosATheofilatos.html
ChristosMDimitrakopoulos.html
MariaAAntoniou.html
EfstratiosFGeorgopoulos.html
StergiosPapadimitriou.html
SpiridonDLikothanassis.html
SeferinaMavroudi.html
http___dx.doi.org_10.1007_978-3-642-32909-8 http://dx.doi.org/10.1007/978-3-642-32909-8
thi:2017:AICT A Study on Fitness Representation in Genetic Programming
ThuongPhamThi.html
NguyenXuanHoai.html
TriThanhNguyen.html
http___link.springer.com_chapter_10.1007_978-3-319-49073-1_13 http://link.springer.com/chapter/10.1007/978-3-319-49073-1_13
http___dx.doi.org_10.1007_978-3-319-49073-1_13 http://dx.doi.org/10.1007/978-3-319-49073-1_13
thi:2022:AIC Cartesian Genetic Programming: Some New Detections
ThuongPhamThi.html
http___link.springer.com_chapter_10.1007_978-3-030-98015-3_20 http://link.springer.com/chapter/10.1007/978-3-030-98015-3_20
http___dx.doi.org_10.1007_978-3-030-98015-3_20 http://dx.doi.org/10.1007/978-3-030-98015-3_20
10.1109/TKDE.2005.199 Learning Concept Descriptions with Typed Evolutionary Programming
ClaireJKennedy.html
ChristopheGiraud-Carrier.html
http___dx.doi.org_10.1109_TKDE.2005.199 http://dx.doi.org/10.1109/TKDE.2005.199
gecco:2007 GECCO 2007: Proceedings of the 9th annual conference on Genetic and evolutionary computation
DirkThierens.html
Hans-GeorgBeyer.html
JoshCBongard.html
JurgenBranke.html
JohnAClark.html
DaveCliff.html
ClareBatesCongdon.html
KalyanmoyDeb.html
BenjaminDoerr.html
TimKovacs.html
SanjeevKumar.html
JulianFMiller.html
JasonHMoore.html
FrankNeumann.html
MartinPelikan.html
RiccardoPoli.html
KumaraSastry.html
KennethOStanley.html
ThomasStuetzle.html
RichardAWatson.html
IngoWegener.html
http___dl.acm.org_citation.cfm_id_1276958 http://dl.acm.org/citation.cfm?id=1276958
Thierens:2016:GECCOcomp Model-Based Evolutionary Algorithms
DirkThierens.html
PeterANBosman.html
http___dx.doi.org_10.1145_2908961.2926975 http://dx.doi.org/10.1145/2908961.2926975
Thierens:2019:GECCOcomp Model-based evolutionary algorithms
DirkThierens.html
PeterANBosman.html
http___dx.doi.org_10.1145_3319619.3323386 http://dx.doi.org/10.1145/3319619.3323386
Thierens:2020:GECCOcomp Model-Based Evolutionary Algorithms: GECCO 2020 Tutorial
DirkThierens.html
PeterANBosman.html
https___doi.org_10.1145_3377929.3389868 https://doi.org/10.1145/3377929.3389868
http___dx.doi.org_10.1145_3377929.3389868 http://dx.doi.org/10.1145/3377929.3389868
Thoelke:2022:MODELS A Multiplicity-Preserving Crossover Operator on Graphs
HenriThoelke.html
JensKosiol.html
https___doi.org_10.1145_3550356.3561587 https://doi.org/10.1145/3550356.3561587
http___dx.doi.org_10.1145_3550356.3561587 http://dx.doi.org/10.1145/3550356.3561587
thomas:1999:isvGPdmfd The importance of simplicity and validation in genetic programming for data mining in financial data
JamesDThomas.html
KatiaSycara.html
http___www.cs.cmu.edu_afs_cs_user_jthomas_Web_Papers_gecco99.ps http://www.cs.cmu.edu/afs/cs/user/jthomas/Web/Papers/gecco99.ps
http___www.ri.cmu.edu_pub_files_pub2_thomas_james_1999_2_thomas_james_1999_2.pdf http://www.ri.cmu.edu/pub_files/pub2/thomas_james_1999_2/thomas_james_1999_2.pdf
http___citeseer.ist.psu.edu_323257.html http://citeseer.ist.psu.edu/323257.html
Thomas:2002:gagpcf GP and the Predictive Power of Internet Message Traffic
JamesDThomas.html
KatiaSycara.html
http___www.springer.com_economics_economic_theory_book_978-0-7923-7601-9 http://www.springer.com/economics/economic+theory/book/978-0-7923-7601-9
http___dx.doi.org_10.1007_978-1-4615-0835-9_4 http://dx.doi.org/10.1007/978-1-4615-0835-9_4
1144169 Redundant genes and the evolution of robustness
RussellThomason.html
TerenceSoule.html
http___gpbib.cs.ucl.ac.uk_gecco2006_docs_p959.pdf http://gpbib.cs.ucl.ac.uk/gecco2006/docs/p959.pdf
http___dx.doi.org_10.1145_1143997.1144169 http://dx.doi.org/10.1145/1143997.1144169
1277293 Novel ways of improving cooperation and performance in ensemble classifiers
RussellThomason.html
TerenceSoule.html
http___gpbib.cs.ucl.ac.uk_gecco2007_docs_p1708.pdf http://gpbib.cs.ucl.ac.uk/gecco2007/docs/p1708.pdf
http___dx.doi.org_10.1145_1276958.1277293 http://dx.doi.org/10.1145/1276958.1277293
conf/eurogp/ThomasonHS08 Training Time and Team Composition Robustness in Evolved Multi-agent Systems
RussellThomason.html
RobertBHeckendorn.html
TerenceSoule.html
http___dx.doi.org_10.1007_978-3-540-78671-9_1 http://dx.doi.org/10.1007/978-3-540-78671-9_1
Thomemann:1992:masters Verbesserung des Simulated Annealing unter Anwendung Genetischer Programmierung am Beispiel des Diskreten Quadratischen Layoutproblems
UlrichThonemann.html
thompson:1995:AYRSFGPRCFT Are Your Ready for Some Football? Genetically Produced Ratings for College Football Teams
HowardThompson.html
Thomson:2019:sigevolution EvoStar 2019
SarahLThomson.html
https___evolution.sigevo.org_issues_SIGEVOlution1202.pdf https://evolution.sigevo.org/issues/SIGEVOlution1202.pdf
http___dx.doi.org_10.1145_3357514.3357516 http://dx.doi.org/10.1145/3357514.3357516
THON:2022:cej Multi-modal framework to model wet milling through numerical simulations and artificial intelligence (part 2)
ChristophThon.html
Ann-ChristinBoettcher.html
Felix-TomMoehlen.html
MinghuiYu.html
ArnoKwade.html
CarstenSchilde.html
https___www.sciencedirect.com_science_article_pii_S1385894722034337 https://www.sciencedirect.com/science/article/pii/S1385894722034337
http___dx.doi.org_10.1016_j.cej.2022.137947 http://dx.doi.org/10.1016/j.cej.2022.137947
Thonemann:1994:SAGP Finding improved simulated annealing schedules with genetic programming
UlrichThonemann.html
http___dx.doi.org_10.1109_ICEC.1994.349919 http://dx.doi.org/10.1109/ICEC.1994.349919
bolte:1996:oSAsGP Optimizing Simulated Annealing Schedules with Genetic Programming
AndreasBolte.html
UlrichThonemann.html
http___www.sciencedirect.com_science_article_B6VCT-3VW8NPR-14_2_d6032805608b3a86412054ccde16f0e6 http://www.sciencedirect.com/science/article/B6VCT-3VW8NPR-14/2/d6032805608b3a86412054ccde16f0e6
http___dx.doi.org_10.1016_0377-2217_94_00350-5 http://dx.doi.org/10.1016/0377-2217(94)00350-5
Thong-on:2017:ICITEE Detection of fibrosis in liver biopsy images using multi-objective genetic programming
PuritThong-on.html
UkritWatchAreeruetai.html
http___dx.doi.org_10.1109_ICITEED.2017.8250486 http://dx.doi.org/10.1109/ICITEED.2017.8250486
THOPPIL:2017:MTP An evolutionary approach for modeling and optimization of gelcasting of ceramics
NikhilMThoppil.html
KishoreKumarKandi.html
NSelvaraj.html
CSPRao.html
http___dx.doi.org_10.1016_j.matpr.2017.07.172 http://dx.doi.org/10.1016/j.matpr.2017.07.172
http___www.sciencedirect.com_science_article_pii_S2214785317314694 http://www.sciencedirect.com/science/article/pii/S2214785317314694
Thorhauer:2013:GECCO Structural difficulty in grammatical evolution versus genetic programming
AnnThorhauer.html
FranzRothlauf.html
http___dx.doi.org_10.1145_2463372.2463491 http://dx.doi.org/10.1145/2463372.2463491
Thorhauer:2014:PPSN On the Locality of Standard Search Operators in Grammatical Evolution
AnnThorhauer.html
FranzRothlauf.html
http___dx.doi.org_10.1007_978-3-319-10762-2_46 http://dx.doi.org/10.1007/978-3-319-10762-2_46
Thorhauer:2015:GECCO On the Bias of Syntactic Geometric Recombination in Genetic Programming and Grammatical Evolution
AnnThorhauer.html
FranzRothlauf.html
http___doi.acm.org_10.1145_2739480.2754726 http://doi.acm.org/10.1145/2739480.2754726
http___dx.doi.org_10.1145_2739480.2754726 http://dx.doi.org/10.1145/2739480.2754726
Thorhauer:2016:PPSN On the Non-uniform Redundancy in Grammatical Evolution
AnnThorhauer.html
http___dx.doi.org_10.1007_978-3-319-45823-6_27 http://dx.doi.org/10.1007/978-3-319-45823-6_27
phd/dnb/Thorhauer17 Bias and locality in grammatical evolution
AnnThorhauer.html
https___dblp.org_rec_phd_dnb_Thorhauer17.bib https://dblp.org/rec/phd/dnb/Thorhauer17.bib
http___d-nb.info_1170996558 http://d-nb.info/1170996558
Anu_Thubagere_BBE Programming Complex Behavior in DNA-based Molecular Circuits and Robots
AnupamaJThubagere.html
https___thesis.library.caltech.edu_10323_ https://thesis.library.caltech.edu/10323/
https___resolver.caltech.edu_CaltechTHESIS_06082017-194534497 https://resolver.caltech.edu/CaltechTHESIS:06082017-194534497
http___thesis.library.caltech.edu_10323_1_Anu_Thubagere_BBE.pdf http://thesis.library.caltech.edu/10323/1/Anu_Thubagere_BBE.pdf
http___dx.doi.org_10.7907_Z9WD3XMS http://dx.doi.org/10.7907/Z9WD3XMS
Thuong:2017:GECCO Combining Conformal Prediction and Genetic Programming for Symbolic Interval Regression
PhamThiThuong.html
NguyenXuanHoai.html
XinYao.html
http___doi.acm.org_10.1145_3071178.3071280 http://doi.acm.org/10.1145/3071178.3071280
http___dx.doi.org_10.1145_3071178.3071280 http://dx.doi.org/10.1145/3071178.3071280
Tichy:2015:Ubiquity Automated Bug Fixing: An Interview with Westley Weimer, Department of Computer Science, University of Virginia and Martin Monperrus, University of Lille and INRIA, Lille, France
WalterTichy.html
http___doi.acm.org_10.1145_2746519 http://doi.acm.org/10.1145/2746519
http___dx.doi.org_10.1145_2746519 http://dx.doi.org/10.1145/2746519
conf/semweb/TiddidM16 Learning to Assess Linked Data Relationships Using Genetic Programming
IlariaTiddi.html
Mathieud'Aquin.html
EnricoMotta.html
http___dx.doi.org_10.1007_978-3-319-46523-4_35 http://dx.doi.org/10.1007/978-3-319-46523-4_35
tikhe:2019:AiWM Estimation of Landfill Gas Using Genetic Programming
KshitijaSTikhe.html
BasavrajSBalapgol.html
SandipTMali.html
http___link.springer.com_chapter_10.1007_978-981-13-0215-2_12 http://link.springer.com/chapter/10.1007/978-981-13-0215-2_12
http___dx.doi.org_10.1007_978-981-13-0215-2_12 http://dx.doi.org/10.1007/978-981-13-0215-2_12
oai:arXiv.org:cs/0512071 ``Going back to our roots'': second generation biocomputing
JonTimmis.html
MartynAmos.html
WolfgangBanzhaf.html
AndrewMTyrrell.html
http___arxiv.org_abs_cs_0512071 http://arxiv.org/abs/cs/0512071
Timmis:2006:IJUC Going Back to our Roots: Second Generation Biocomputing
JonTimmis.html
MartynAmos.html
WolfgangBanzhaf.html
AndrewMTyrrell.html
http___www.oldcitypublishing.com_IJUC_IJUCabstracts_IJUC2.4abstracts_IJUCv2n4p349-378Timmis.html http://www.oldcitypublishing.com/IJUC/IJUCabstracts/IJUC2.4abstracts/IJUCv2n4p349-378Timmis.html
http___www.cs.mun.ca__banzhaf_papers_JUC2006.pdf http://www.cs.mun.ca/~banzhaf/papers/JUC2006.pdf
Timperley:2014:ALIFE Reflective Grammatical Evolution
ChristopherTimperley.html
SusanStepney.html
https___www.mitpressjournals.org_toc_isal_26 https://www.mitpressjournals.org/toc/isal/26
https___www.mitpressjournals.org_doi_pdf_10.1162_978-0-262-32621-6-ch013 https://www.mitpressjournals.org/doi/pdf/10.1162/978-0-262-32621-6-ch013
http___dx.doi.org_10.7551_978-0-262-32621-6-ch013 http://dx.doi.org/10.7551/978-0-262-32621-6-ch013
Timperley:2017:SSBSE An Investigation into the Use of Mutation Analysis for Automated Program Repair
ChristopherTimperley.html
SusanStepney.html
ClaireLeGoues.html
https___www.cs.cmu.edu__clegoues_docs_legoues-ssbse17.pdf https://www.cs.cmu.edu/~clegoues/docs/legoues-ssbse17.pdf
http___dx.doi.org_10.1007_978-3-319-66299-2_7 http://dx.doi.org/10.1007/978-3-319-66299-2_7
Tisdale:2020:GECCOcomp Dynamic Primitive Granularity Control: An Exploration of Unique Design Considerations
BradenNTisdale.html
AaronSPope.html
DanielRTauritz.html
https___doi.org_10.1145_3377929.3398131 https://doi.org/10.1145/3377929.3398131
http___dx.doi.org_10.1145_3377929.3398131 http://dx.doi.org/10.1145/3377929.3398131
tiso:2023:GECCO Biological Insights on Grammar-Structured Mutations Improve Fitness and Diversity
StefanoTiso.html
PedroCarvalho.html
NunoLourenco.html
PenousalMachado.html
http___dx.doi.org_10.1145_3583131.3590472 http://dx.doi.org/10.1145/3583131.3590472
to:2005:CEC Classification of Proteomic Kinetic Patterns using Supervised Genetic Programming
CuongChieuTo.html
JiriVohradsky.html
http___dx.doi.org_10.1109_CEC.2005.1554909 http://dx.doi.org/10.1109/CEC.2005.1554909
To:2006:ASPGP A combination of Genetic Programming and Cluster Analysis for Single Class
CuongChieuTo.html
JiriVohradsky.html
http___gpbib.cs.ucl.ac.uk_aspgp06_To_Vohradsky_ASPGP06_finalcopy.pdf http://gpbib.cs.ucl.ac.uk/aspgp06/To_Vohradsky_ASPGP06_finalcopy.pdf
conf/rivf/ToV06 A combination of kernel methods and genetic programming for gene expression pattern classification
CuongChieuTo.html
JiriVohradsky.html
http___dx.doi.org_10.1109_RIVF.2006.1696440 http://dx.doi.org/10.1109/RIVF.2006.1696440
To:thesis Data Mining in Transcriptomics and Proteomics
CuongChieuTo.html
https___vufind.techlib.cz_Record_000644036 https://vufind.techlib.cz/Record/000644036
http___sun2.biomed.cas.cz_mbu_proteom_download_cuongthesis.pdf http://sun2.biomed.cas.cz/mbu/proteom/download/cuongthesis.pdf
To:2008:BMCb Supervised inference of gene-regulatory networks
CuongChieuTo.html
JiriVohradsky.html
http___dx.doi.org_10.1186_1471-2105-9-2 http://dx.doi.org/10.1186/1471-2105-9-2
To:2009:ISPA Analysis of Cardiac Imaging Data using Decision Tree based Parallel Genetic Programming
CuongChieuTo.html
TuanDPham.html
http___ieeexplore.ieee.org_stamp_stamp.jsp_tp__arnumber_5297730 http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5297730
To:2013:GECCOcomp A parallel genetic programming for single class classification
CuongChieuTo.html
MohamedElati.html
http___dx.doi.org_10.1145_2464576.2466811 http://dx.doi.org/10.1145/2464576.2466811
99evmus Frankensteinian approaches to evolutionary music composition
PeterMTodd.html
GregoryMWerner.html
http___www-abc.mpib-berlin.mpg.de_users_ptodd_publications_99evmus_99evmus.pdf http://www-abc.mpib-berlin.mpg.de/users/ptodd/publications/99evmus/99evmus.pdf
Tofiq:2014:JH Prediction of design flood discharge by statistical downscaling and General Circulation Models
FATofiq.html
AytacGuven.html
http___dx.doi.org_10.1016_j.jhydrol.2014.06.028 http://dx.doi.org/10.1016/j.jhydrol.2014.06.028
http___www.sciencedirect.com_science_article_pii_S0022169414004880 http://www.sciencedirect.com/science/article/pii/S0022169414004880
Togelius:thesis Optimization, Imitation and Innovation: Computational Intelligence and Games
JulianTogelius.html
http___julian.togelius.com_thesis.pdf http://julian.togelius.com/thesis.pdf
Togelius:2007:cec Multi-Population Competitive Co-Evolution of Car Racing Controllers
JulianTogelius.html
PeterBurrow.html
SimonMLucas.html
http___dx.doi.org_10.1109_CEC.2007.4424998 http://dx.doi.org/10.1109/CEC.2007.4424998
Togelius:2008:cec Geometric PSO + GP = Particle Swarm Programming
JulianTogelius.html
RenzoDeNardi.html
AlbertoMoraglio.html
http___julian.togelius.com_Togelius2008Geometric.pdf http://julian.togelius.com/Togelius2008Geometric.pdf
http___dx.doi.org_10.1109_CEC.2008.4631284 http://dx.doi.org/10.1109/CEC.2008.4631284
Togelius:2008:GPEM The 2007 IEEE CEC simulated car racing competition
JulianTogelius.html
SimonMLucas.html
HoDucThang.html
JonathanMGaribaldi.html
TomoharuNakashima.html
ChinHiongTan.html
ItamarElhanany.html
ShayBerant.html
PhilipHingston.html
RobertMMacCallum.html
ThomasHaferlach.html
AravindGowrisankar.html
PeterBurrow.html
http___dx.doi.org_10.1007_s10710-008-9063-0 http://dx.doi.org/10.1007/s10710-008-9063-0
Togelius:2010:cec The 2009 Mario AI Competition
JulianTogelius.html
SergeyKarakovskiy.html
RobinBaumgarten.html
http___dx.doi.org_10.1109_CEC.2010.5586133 http://dx.doi.org/10.1109/CEC.2010.5586133
Togelius:2011:TCIAIG Search-based Procedural Content Generation: A Taxonomy and Survey
JulianTogelius.html
GeorgiosNYannakakis.html
KennethOStanley.html
CameronBrowne.html
http___julian.togelius.com_Togelius2011Searchbased.pdf http://julian.togelius.com/Togelius2011Searchbased.pdf
http___dx.doi.org_10.1109_TCIAIG.2011.2148116 http://dx.doi.org/10.1109/TCIAIG.2011.2148116
Togelius:2020:GECCOcomp Evolutionary Computation and Games
JulianTogelius.html
SebastianRisi.html
GeorgiosNYannakakis.html
https___www.um.edu.mt_library_oar_bitstream_123456789_80906_1_Evolutionary_computation_and_games_2020.pdf https://www.um.edu.mt/library/oar/bitstream/123456789/80906/1/Evolutionary_computation_and_games_2020.pdf
https___doi.org_10.1145_3377929.3389854 https://doi.org/10.1145/3377929.3389854
http___dx.doi.org_10.1145_3377929.3389854 http://dx.doi.org/10.1145/3377929.3389854
https___www.youtube.com_watch_v_TCcJiwYbQto https://www.youtube.com/watch?v=TCcJiwYbQto
Togun20103401 Genetic programming approach to predict torque and brake specific fuel consumption of a gasoline engine
NeclaKaraTogun.html
SedatBaysec.html
http___dx.doi.org_10.1016_j.apenergy.2010.04.027 http://dx.doi.org/10.1016/j.apenergy.2010.04.027
http___www.sciencedirect.com_science_article_B6V1T-506P5PR-2_2_3ce08e476cfb1819b6e03a4571cad2cd http://www.sciencedirect.com/science/article/B6V1T-506P5PR-2/2/3ce08e476cfb1819b6e03a4571cad2cd
Tohumoglu:2007:CMPB Formulation of ELF magnetic fields' effects on malondialdehyde level and myeloperoxidase activity in kidney using genetic programming
GulayTohumoglu.html
AyseGCanseven.html
AbdulkadirCevik.html
NesrinSeyhan.html
http___dx.doi.org_10.1016_j.cmpb.2006.12.006 http://dx.doi.org/10.1016/j.cmpb.2006.12.006
Tokuhara:2016:IWCIA Using canonical representations of block tree patterns in acquisition of characteristic block preserving outerplanar graph patterns
FumiyaTokuhara.html
TetsuhiroMiyahara.html
YusukeSuzuki.html
TomoyukiUchida.html
TetsujiKuboyama.html
http___dx.doi.org_10.1109_IWCIA.2016.7805755 http://dx.doi.org/10.1109/IWCIA.2016.7805755
Tokuhara:2016:IIAI-AAI Acquisition of Characteristic Block Preserving Outerplanar Graph Patterns by Genetic Programming Using Label Information
FumiyaTokuhara.html
TetsuhiroMiyahara.html
YusukeSuzuki.html
TomoyukiUchida.html
TetsujiKuboyama.html
http___dx.doi.org_10.1109_IIAI-AAI.2016.212 http://dx.doi.org/10.1109/IIAI-AAI.2016.212
Tokuhara:2017:IWCIA Acquisition of multiple block preserving outerplanar graph patterns by an evolutionary method for graph pattern sets
FumiyaTokuhara.html
TetsuhiroMiyahara.html
TetsujiKuboyama.html
YusukeSuzuki.html
TomoyukiUchida.html
http___dx.doi.org_10.1109_IWCIA.2017.8203583 http://dx.doi.org/10.1109/IWCIA.2017.8203583
Tokuhara:2019:IWCIA Using Label Information in a Genetic Programming Based Method for Acquiring Block Preserving Outerplanar Graph Patterns with Wildcards
FumiyaTokuhara.html
ShihoOkinaga.html
TetsuhiroMiyahara.html
YusukeSuzuki.html
TetsujiKuboyama.html
TomoyukiUchida.html
http___dx.doi.org_10.1109_IWCIA47330.2019.8955031 http://dx.doi.org/10.1109/IWCIA47330.2019.8955031
DBLP:conf/gecco/TolayK09 Evolution of hyperheuristics for the biobjective graph coloring problem using multiobjective genetic programming
PareshTolay.html
RajeevKumar.html
http___dx.doi.org_10.1145_1569901.1570247 http://dx.doi.org/10.1145/1569901.1570247
tomassini:ppsn2002:pp641 Experimental Investigation Of Three Distributed Genetic Programming Models
MarcoTomassini.html
LeonardoVanneschi.html
FranciscoFernandezdeVega.html
GermanGaleano.html
http___dx.doi.org_10.1007_3-540-45712-7_62 http://dx.doi.org/10.1007/3-540-45712-7_62
tomassini:2003:gecco Diversity in Multipopulation Genetic Programming
MarcoTomassini.html
LeonardoVanneschi.html
FranciscoFernandezdeVega.html
GermanGaleano.html
http___personal.disco.unimib.it_Vanneschi_GECCO_2003_Diversity.pdf http://personal.disco.unimib.it/Vanneschi/GECCO_2003_Diversity.pdf
http___dx.doi.org_10.1007_3-540-45110-2_77 http://dx.doi.org/10.1007/3-540-45110-2_77
tomassini:2003:EA A Study of Diversity in Multipopulation Genetic Programming
MarcoTomassini.html
LeonardoVanneschi.html
FranciscoFernandezdeVega.html
GermanGaleano.html
http___personal.disco.unimib.it_Vanneschi_EA_2003_Diversity.pdf http://personal.disco.unimib.it/Vanneschi/EA_2003_Diversity.pdf
http___dx.doi.org_10.1007_b96080 http://dx.doi.org/10.1007/b96080
http___dx.doi.org_10.1007_978-3-540-24621-3_20 http://dx.doi.org/10.1007/978-3-540-24621-3_20
tomassini:2004:antfdspigp A New Technique for Dynamic Size Populations in Genetic Programming
MarcoTomassini.html
LeonardoVanneschi.html
JeromeCuendet.html
FranciscoFernandezdeVega.html
http___dx.doi.org_10.1109_CEC.2004.1330896 http://dx.doi.org/10.1109/CEC.2004.1330896
Tomassini:book Spatially Structured Evolutionary Algorithms: Artificial Evolution in Space and Time
MarcoTomassini.html
https___link.springer.com_book_10.1007_3-540-29938-6 https://link.springer.com/book/10.1007/3-540-29938-6
http___dx.doi.org_10.1007_3-540-29938-6 http://dx.doi.org/10.1007/3-540-29938-6
tomassini:2005:EC A Study of Fitness Distance Correlation as a Difficulty Measure in Genetic Programming
MarcoTomassini.html
LeonardoVanneschi.html
PhilippeCollard.html
ManuelClergue.html
http___dx.doi.org_10.1162_1063656054088549 http://dx.doi.org/10.1162/1063656054088549
Tomassini:2007:GPEM The Structure of the Genetic Programming Collaboration Network
MarcoTomassini.html
LeslieLuthi.html
MarioGiacobini.html
WilliamBLangdon.html
https___rdcu.be_c39D3 https://rdcu.be/c39D3
http___arxiv.org_abs_0704.0551 http://arxiv.org/abs/0704.0551
http___dx.doi.org_10.1007_s10710-006-9018-2 http://dx.doi.org/10.1007/s10710-006-9018-2
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_gp-code_Tomassini_2007_GPEM_16-jan-2007.tar.gz http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/gp-code/Tomassini_2007_GPEM/16-jan-2007.tar.gz
evol-gp-PhysA-final Empirical analysis of the evolution of a scientific collaboration network
MarcoTomassini.html
LeslieLuthi.html
http___www.sciencedirect.com_science_article_B6TVG-4P8GWXG-7_2_5836255114267d1a22b1d1fa47215fc9 http://www.sciencedirect.com/science/article/B6TVG-4P8GWXG-7/2/5836255114267d1a22b1d1fa47215fc9
http___dx.doi.org_10.1016_j.physa.2007.07.028 http://dx.doi.org/10.1016/j.physa.2007.07.028
Tomassini:2010:GPEM Guest editorial: special issue on parallel and distributed evolutionary algorithms, part two
MarcoTomassini.html
LeonardoVanneschi.html
http___dx.doi.org_10.1007_s10710-010-9106-1 http://dx.doi.org/10.1007/s10710-010-9106-1
tominaga:2003:gecco An Encoding Scheme for Generating lambda-Expressions in Genetic Programming
KazutoTominaga.html
TomoyaSuzuki.html
KazuhiroOka.html
https___rdcu.be_dqNGr https://rdcu.be/dqNGr
http___dx.doi.org_10.1007_3-540-45110-2_78 http://dx.doi.org/10.1007/3-540-45110-2_78
Yasuyuki_Tomita2008154 A Motif Detection and Classification Method for Peptide Sequences Using Genetic Programming
YasuyukiTomita.html
RyujiKato.html
MinaOkochi.html
HiroyukiHonda.html
http___dx.doi.org_10.1263_jbb.106.154 http://dx.doi.org/10.1263/jbb.106.154
Tomoyuki:2015:CEC A Feature Transformation Method using Multiobjective Genetic Programming for Two-Class Classification
TomoyukiHiroyasu.html
ToshihideShiraishi.html
TomoyaYoshida.html
UtakoYamamoto.html
http___dx.doi.org_10.1109_CEC.2015.7257261 http://dx.doi.org/10.1109/CEC.2015.7257261
tonda:2012:EuroGP Bayesian Network Structure Learning from Limited Datasets through Graph Evolution
AlbertoTonda.html
EvelyneLutton.html
RomainReuillon.html
GiovanniSquillero.html
Pierre-HenriWuillemin.html
http___dx.doi.org_10.1007_978-3-642-29139-5_22 http://dx.doi.org/10.1007/978-3-642-29139-5_22
Tonda:GPEM:Inspyred Inspyred: Bio-inspired algorithms in Python
AlbertoTonda.html
http___dx.doi.org_10.1007_s10710-019-09367-z http://dx.doi.org/10.1007/s10710-019-09367-z
tonda:2023:GECCO Towards Evolutionary Control Laws for Viability Problems
AlbertoTonda.html
IsabelleAlvarez.html
SophieMartin.html
GiovanniSquillero.html
EvelyneLutton.html
http___dx.doi.org_10.1145_3583131.3590415 http://dx.doi.org/10.1145/3583131.3590415
Tonella:2004:ISSTA Evolutionary Testing of Classes
PaoloTonella.html
http___selab.fbk.eu_tonella_papers_issta2004.ps.gz http://selab.fbk.eu/tonella/papers/issta2004.ps.gz
http___dx.doi.org_10.1145_1007512.1007528 http://dx.doi.org/10.1145/1007512.1007528
ICARCV2000Tongchim Nearest Neighbor Migration in Parallel Genetic Programming for Automatic Robot Programming
ShisanuTongchim.html
PrabhasChongstitvatana.html
http___www.cp.eng.chula.ac.th_faculty_pjw_paper_tongchim-226.pdf http://www.cp.eng.chula.ac.th/faculty/pjw/paper/tongchim-226.pdf
AROB2000 Comparison between Synchronous and Asynchronous Implementation of Parallel Genetic Programming
ShisanuTongchim.html
PrabhasChongstitvatana.html
http___www.cp.eng.chula.ac.th_faculty_pjw_paper_2000_arob5.pdf http://www.cp.eng.chula.ac.th/faculty/pjw/paper/2000/arob5.pdf
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.26.5542 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.26.5542
Tongchim:ASIAN99 Asynchronous Migration in Parallel Genetic Programming
ShisanuTongchim.html
PrabhasChongstitvatana.html
http___citeseer.ist.psu.edu_cache_papers_cs_20674_http_zSzzSzwww.cp.eng.chula.ac.thzSzfacultyzSzpjwzSzpaperzSzasian99.pdf_asynchronous-migration-in-parallel.pdf http://citeseer.ist.psu.edu/cache/papers/cs/20674/http:zSzzSzwww.cp.eng.chula.ac.thzSzfacultyzSzpjwzSzpaperzSzasian99.pdf/asynchronous-migration-in-parallel.pdf
http___citeseer.ist.psu.edu_421063.html http://citeseer.ist.psu.edu/421063.html
tongchim:2001:ALR Parallel genetic programming: Synchronous and asynchronous migration
ShisanuTongchim.html
PrabhasChongstitvatana.html
http___link.springer.com_article_10.1007_BF02481500 http://link.springer.com/article/10.1007/BF02481500
http___dx.doi.org_10.1007_BF02481500 http://dx.doi.org/10.1007/BF02481500
topchy:2001:gecco Faster Genetic Programming based on Local Gradient Search of Numeric Leaf Values
AlexanderTopchy.html
WilliamFPunch.html
http___garage.cse.msu.edu_papers_GARAGe01-07-01.pdf http://garage.cse.msu.edu/papers/GARAGe01-07-01.pdf
http___citeseer.ist.psu.edu_523881.html http://citeseer.ist.psu.edu/523881.html
http___gpbib.cs.ucl.ac.uk_gecco2001_d01.pdf http://gpbib.cs.ucl.ac.uk/gecco2001/d01.pdf
Topcu:2014:WSC Agent-supported simulation for coherence-driven workflow discovery and evaluation
OTopcu.html
LYilmaz.html
http___dx.doi.org_10.1109_WSC.2014.7019908 http://dx.doi.org/10.1109/WSC.2014.7019908
torabi:NPL Using Cartesian Genetic Programming Approach with New Crossover Technique to Design Convolutional Neural Networks
AliTorabi.html
ArashSharifi.html
MohammadTeshnehlab.html
https___rdcu.be_ddL4Z https://rdcu.be/ddL4Z
http___link.springer.com_article_10.1007_s11063-022-11093-0 http://link.springer.com/article/10.1007/s11063-022-11093-0
http___dx.doi.org_10.1007_s11063-022-11093-0 http://dx.doi.org/10.1007/s11063-022-11093-0
Torben-Nielsen:2006:CEC Shaping Realistic Neuronal Morphologies: An Evolutionary Computation Method
BenTorben-Nielsen.html
KarlTuyls.html
EricOPostma.html
http___www.cs.unimaas.nl_b.torben-nielsen_ijcnn_draft.pdf http://www.cs.unimaas.nl/b.torben-nielsen/ijcnn_draft.pdf
http___ieeexplore.ieee.org_xpl_RecentCon.jsp_punumber_11216 http://ieeexplore.ieee.org/xpl/RecentCon.jsp?punumber=11216
http___dx.doi.org_10.1109_IJCNN.2006.246733 http://dx.doi.org/10.1109/IJCNN.2006.246733
Torben-Nielsen:2007:ECAL Evolving Virtual Neuronal Morphologies: a case study in Genetic L-Systems Programming
BenTorben-Nielsen.html
http___dx.doi.org_10.1007_978-3-540-74913-4_109 http://dx.doi.org/10.1007/978-3-540-74913-4_109
Thesis_B_Torbennielsen Dendritic Morphology: Function shapes structure
BenTorben-Nielsen.html
https___pure.uvt.nl_portal_en_publications_dendritic-morphology_286bcfb474-2b5f-4032-833d-389e94d4de9c_29.html https://pure.uvt.nl/portal/en/publications/dendritic-morphology%286bcfb474-2b5f-4032-833d-389e94d4de9c%29.html
https___pure.uvt.nl_portal_files_1047785_Thesis_B_Torbennielsen.pdf https://pure.uvt.nl/portal/files/1047785/Thesis_B_Torbennielsen.pdf
Toropov:1998: Application of Genetic Programming to the Choice of a Structure of Multipoint Approximations
VassiliVToropov.html
LuisFAlvarez.html
http___www.brad.ac.uk_staff_vtoropov_luis_paper.htm http://www.brad.ac.uk/staff/vtoropov/luis/paper.htm
toropov:1998:GPcsga Application of Genetic Programming to the Choice of a Structure of Global Approximations
VassiliVToropov.html
LuisFAlvarez.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_gp1998_toropov_1998_GPcsga.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/gp1998/toropov_1998_GPcsga.pdf
Toropov1998551 Application of genetic programming and response surface methodology to optimization and inverse problems
VassiliVToropov.html
LuisFAlvarez.html
http___dx.doi.org_10.1016_B978-008043319-6_50062-5 http://dx.doi.org/10.1016/B978-008043319-6/50062-5
http___www.sciencedirect.com_science_article_B8558-4P9W00Y-28_2_7eacdd774e680f545fccdea2ddc0a1fb http://www.sciencedirect.com/science/article/B8558-4P9W00Y-28/2/7eacdd774e680f545fccdea2ddc0a1fb
Torres:2006:WSC Evaluation of Objective Features for Classification of Clinical Depression in Speech by Genetic Programming
JuanTorres.html
AshrafSaad.html
ElliotMoore.html
http___www.cs.armstrong.edu_wsc11_pdf_pap119s2-file1.pdf http://www.cs.armstrong.edu/wsc11/pdf/pap119s2-file1.pdf
http___dx.doi.org_10.1007_978-3-540-70706-6 http://dx.doi.org/10.1007/978-3-540-70706-6
Torres2009283 A genetic programming framework for content-based image retrieval
RicardodaSilvaTorres.html
AlexandreXFalcao.html
MarcosAndreGoncalves.html
JoaoPauloPapa.html
BaopingZhang.html
WeiguoFan.html
EdwardAFox.html
http___dx.doi.org_10.1016_j.patcog.2008.04.010 http://dx.doi.org/10.1016/j.patcog.2008.04.010
http___www.sciencedirect.com_science_article_B6V14-4SD29JV-1_2_e923d1aa7f24919e6066b9b28215c356 http://www.sciencedirect.com/science/article/B6V14-4SD29JV-1/2/e923d1aa7f24919e6066b9b28215c356
WSEAS_286_Torres A String Representation Methodology to Generate Syntactically Valid Genetic Programs
SocratesTorres.html
MonicaLarre.html
JosiTorres.html
http___www.wseas.us_e-library_conferences_mexico2002_papers_286.pdf http://www.wseas.us/e-library/conferences/mexico2002/papers/286.pdf
Torres-Vazquez:2006:SIS On the use of Genetic Programming to develop cryptographic hashes
AnnaTorres-Vazquez.html
JulioCesarHernandez-Castro.html
JuanManuelEstevez-Tapiador.html
DArturoRibagordaGarnacho.html
http___www.seg.inf.uc3m.es_papers_2008recsi2.pdf http://www.seg.inf.uc3m.es/papers/2008recsi2.pdf
Torresen:2020:GECCOcomp Addressing Ethical Challenges within Evolutionary Computation Applications: GECCO 2020 Tutorial
JimTorresen.html
https___doi.org_10.1145_3377929.3389894 https://doi.org/10.1145/3377929.3389894
http___dx.doi.org_10.1145_3377929.3389894 http://dx.doi.org/10.1145/3377929.3389894
TorresTrevino:2013:ESA An expert system for setting parameters in machining processes
LuisMTorres-Trevino.html
IndiraGEscamilla-Salazar.html
BernardoGonzalez-Ortiz.html
RolandoPraga-Alejo.html
http___dx.doi.org_10.1016_j.eswa.2013.06.051 http://dx.doi.org/10.1016/j.eswa.2013.06.051
http___www.sciencedirect.com_science_article_pii_S0957417413004466 http://www.sciencedirect.com/science/article/pii/S0957417413004466
Tosch:2012:GECCOcomp Achieving COSMOS: a metric for determining when to give up and when to reach for the stars
EmmaTosch.html
LeeSpector.html
http___dx.doi.org_10.1145_2330784.2330848 http://dx.doi.org/10.1145/2330784.2330848
Toth:2003:ActaCybernetica A Graphical User Interface for Evolutionary Algorithms
ZoltanToth.html
https___www.inf.u-szeged.hu_actacybernetica_edb_vol16n2_Toth_2003_ActaCybernetica.xml https://www.inf.u-szeged.hu/actacybernetica/edb/vol16n2/Toth_2003_ActaCybernetica.xml
http___www.inf.u-szeged.hu_actacybernetica_edb_vol16n2_pdf_Toth_2003_ActaCybernetica.pdf http://www.inf.u-szeged.hu/actacybernetica/edb/vol16n2/pdf/Toth_2003_ActaCybernetica.pdf
toulouse:2006:GPEM Book-Review: Automatic Quantum Computer Programming: A Genetic Programming Approach
MichelToulouse.html
http___dx.doi.org_10.1007_s10710-006-4866-3 http://dx.doi.org/10.1007/s10710-006-4866-3
conf/dmin/SunST06 Parallel Hybrid Clustering using Genetic Programming and Multi-Objective Fitness with Density (PYRAMID)
SamirTout.html
WilliamSverdlik.html
JunpingSun.html
http___ww1.ucmss.com_books_LFS_CSREA2006_DMI3100.pdf http://ww1.ucmss.com/books/LFS/CSREA2006/DMI3100.pdf
Tout:thesis Parallel Hybrid Clustering using Genetic Programming and Multi-Objective Fitness with Density (PYRAMID)
SamirTout.html
https___gscisweb.scis.nova.edu_dlist_webview.cfm https://gscisweb.scis.nova.edu/dlist/webview.cfm
http___search.proquest.com_docview_304910230 http://search.proquest.com/docview/304910230
Tout:2007:IAENG A Hybrid Approach to Cluster Detection
SamirTout.html
JunpingSun.html
WilliamSverdlik.html
http___www.iaeng.org_IJCS_issues_v34_issue_1_IJCS_34_1_14.pdf http://www.iaeng.org/IJCS/issues_v34/issue_1/IJCS_34_1_14.pdf
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.148.7725 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.148.7725
townsend:2000:SGWGPGA Search in Grid World using Genetic Programming and Genetic Algorithms
JasonTownsend.html
Tozier:2015:GPTP GP As If You Meant It: Real and Imaginary User Experience
WilliamTozier.html
http___www.springer.com_us_book_9783319342214 http://www.springer.com/us/book/9783319342214
http___dx.doi.org_10.1007_978-3-319-34223-8_4 http://dx.doi.org/10.1007/978-3-319-34223-8_4
Tozier:2016:GPTP Genetic Programming Theory and Practice XIV
WilliamTozier.html
BrianWGoldman.html
WilliamPWorzel.html
RickLRiolo.html
https___www.springer.com_us_book_9783319970875 https://www.springer.com/us/book/9783319970875
trabelsi:2022:Energies An Effective Hybrid Symbolic Regression-Deep Multilayer Perceptron Technique for PV Power Forecasting
MohamedTrabelsi.html
MohamedMassaoudi.html
InesChihi.html
LiliaSidhom.html
ShadySRefaat.html
TingwenHuang.html
FakhreddineSOueslati.html
https___www.mdpi.com_1996-1073_15_23_9008 https://www.mdpi.com/1996-1073/15/23/9008
http___dx.doi.org_10.3390_en15239008 http://dx.doi.org/10.3390/en15239008
Trajkovski:2011:IIT Learning to sort by using evolution
IgorTrajkovski.html
ZharkoAleksovski.html
http___dx.doi.org_10.1109_INNOVATIONS.2011.5893827 http://dx.doi.org/10.1109/INNOVATIONS.2011.5893827
journals/memetic/TranXZ16 Genetic programming for feature construction and selection in classification on high-dimensional data
BinhNganTran.html
BingXue.html
MengjieZhang.html
http___dx.doi.org_10.1007_s12293-015-0173-y http://dx.doi.org/10.1007/s12293-015-0173-y
https___openaccess.wgtn.ac.nz_articles_journal_contribution_Genetic_programming_for_feature_construction_and_selection_in_classification_on_high-dimensional_data_14312465 https://openaccess.wgtn.ac.nz/articles/journal_contribution/Genetic_programming_for_feature_construction_and_selection_in_classification_on_high-dimensional_data/14312465
http___dx.doi.org_10.1007_s12293-015-0173-y http://dx.doi.org/10.1007/s12293-015-0173-y
Tran:2017:EuroGP Using Feature Clustering for GP-Based Feature Construction on High-Dimensional Data
BinhNganTran.html
BingXue.html
MengjieZhang.html
http___dx.doi.org_10.1007_978-3-319-55696-3_14 http://dx.doi.org/10.1007/978-3-319-55696-3_14
Tran:2015:CEC Impact of Imputation of Missing Values on Genetic Programming based Multiple Feature Construction for Classification
CaoTruongTran.html
PeterAndreae.html
MengjieZhang.html
http___dx.doi.org_10.1109_CEC.2015.7257182 http://dx.doi.org/10.1109/CEC.2015.7257182
Tran:2015:GECCO Multiple Imputation for Missing Data Using Genetic Programming
CaoTruongTran.html
MengjieZhang.html
PeterAndreae.html
http___doi.acm.org_10.1145_2739480.2754665 http://doi.acm.org/10.1145/2739480.2754665
http___dx.doi.org_10.1145_2739480.2754665 http://dx.doi.org/10.1145/2739480.2754665
Tran:2016:EuroGP A Genetic Programming-based Imputation Method for Classification with Missing Data
CaoTruongTran.html
MengjieZhang.html
PeterAndreae.html
http___dx.doi.org_10.1007_978-3-319-30668-1_10 http://dx.doi.org/10.1007/978-3-319-30668-1_10
Tran:2016:GECCOcomp Directly Constructing Multiple Features for Classification with Missing Data using Genetic Programming with Interval Functions
CaoTruongTran.html
MengjieZhang.html
PeterAndreae.html
BingXue.html
http___dx.doi.org_10.1145_2908961.2909002 http://dx.doi.org/10.1145/2908961.2909002
Tran:2016:CEC Directly Evolving Classifiers for Missing Data using Genetic Programming
CaoTruongTran.html
MengjieZhang.html
PeterAndreae.html
http___dx.doi.org_10.1109_CEC.2016.7748361 http://dx.doi.org/10.1109/CEC.2016.7748361
Tran:2015:EMS Selection of significant input variables for time series forecasting
HDTran.html
NitinMuttil.html
ChrisPerera.html
http___dx.doi.org_10.1016_j.envsoft.2014.11.018 http://dx.doi.org/10.1016/j.envsoft.2014.11.018
http___www.sciencedirect.com_science_article_pii_S1364815214003442 http://www.sciencedirect.com/science/article/pii/S1364815214003442
Tran:2016:FTC Credit scoring model: A combination of genetic programming and deep learning
KhiemTran.html
ThanhDuong.html
QuyenHo.html
http___dx.doi.org_10.1109_FTC.2016.7821603 http://dx.doi.org/10.1109/FTC.2016.7821603
Tran:2016:SSCI Multiple feature construction in classification on high-dimensional data using GP
BinhNganTran.html
MengjieZhang.html
BingXue.html
http___dx.doi.org_10.1109_SSCI.2016.7850130 http://dx.doi.org/10.1109/SSCI.2016.7850130
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BinhNganTran.html
BingXue.html
MengjieZhang.html
http___dx.doi.org_10.1007_978-3-319-63004-5_15 http://dx.doi.org/10.1007/978-3-319-63004-5_15
Binh_Ngan_Tran:thesis Evolutionary Computation for Feature Manipulation in Classification on High-dimensional Data
BinhNganTran.html
https___researcharchive.vuw.ac.nz_xmlui_handle_10063_7078 https://researcharchive.vuw.ac.nz/xmlui/handle/10063/7078
http___hdl.handle.net_10063_7078 http://hdl.handle.net/10063/7078
https___researcharchive.vuw.ac.nz_xmlui_bitstream_handle_10063_7078_thesis_access.pdf https://researcharchive.vuw.ac.nz/xmlui/bitstream/handle/10063/7078/thesis_access.pdf
TRAN:2019:patcog Genetic programming for multiple-feature construction on high-dimensional classification
BinhNganTran.html
BingXue.html
MengjieZhang.html
http___www.sciencedirect.com_science_article_pii_S0031320319301815 http://www.sciencedirect.com/science/article/pii/S0031320319301815
http___dx.doi.org_10.1016_j.patcog.2019.05.006 http://dx.doi.org/10.1016/j.patcog.2019.05.006
Tran:2017:GECCO Multiple Imputation and Genetic Programming for Classification with Incomplete Data
CaoTruongTran.html
MengjieZhang.html
PeterAndreae.html
BingXue.html
http___doi.acm.org_10.1145_3071178.3071181 http://doi.acm.org/10.1145/3071178.3071181
http___dx.doi.org_10.1145_3071178.3071181 http://dx.doi.org/10.1145/3071178.3071181
Tran:2017:GECCOa Genetic Programming Based Feature Construction for Classification with Incomplete Data
CaoTruongTran.html
MengjieZhang.html
PeterAndreae.html
BingXue.html
http___doi.acm.org_10.1145_3071178.3071183 http://doi.acm.org/10.1145/3071178.3071183
http___dx.doi.org_10.1145_3071178.3071183 http://dx.doi.org/10.1145/3071178.3071183
Tran:2018:AJCAI Genetic Programming with Interval Functions and Ensemble Learning for Classification with Incomplete Data
CaoTruongTran.html
MengjieZhang.html
BingXue.html
PeterAndreae.html
http___link.springer.com_chapter_10.1007_978-3-030-03991-2_53 http://link.springer.com/chapter/10.1007/978-3-030-03991-2_53
http___dx.doi.org_10.1007_978-3-030-03991-2_53 http://dx.doi.org/10.1007/978-3-030-03991-2_53
tran:2020:fncir Automated Curation of CNMF-E-Extracted ROI Spatial Footprints and Calcium Traces Using Open-Source AutoML Tools
LinaMTran.html
AndrewJMocle.html
AdamIRamsaran.html
AlexanderDJacob.html
PaulWFrankland.html
SheenaAJosselyn.html
https___github.com_jf-lab_cnmfe-reviewer https://github.com/jf-lab/cnmfe-reviewer
https___www.biorxiv.org_content_10.1101_2020.03.13.991216v1 https://www.biorxiv.org/content/10.1101/2020.03.13.991216v1
http___dx.doi.org_10.3389_fncir.2020.00042 http://dx.doi.org/10.3389/fncir.2020.00042
Tran:2018:EuroGP Comparing Rule Evaluation Metrics for the Evolutionary Discovery of Multi-Relational Association Rules in the Semantic Web
MinhDucTran.html
Claudiad'Amato.html
BinhThanhNguyen.html
AndreaGBTettamanzi.html
http___dx.doi.org_10.1007_978-3-319-77553-1_18 http://dx.doi.org/10.1007/978-3-319-77553-1_18
Traore20131 New algebraic formulations of evapotranspiration extracted from gene-expression programming in the tropical seasonally dry regions of West Africa
SeydouTraore.html
AytacGuven.html
http___link.springer.com_article_10.1007_2Fs00271-011-0288-y http://link.springer.com/article/10.1007%2Fs00271-011-0288-y
http___dx.doi.org_10.1007_s00271-011-0288-y http://dx.doi.org/10.1007/s00271-011-0288-y
traxler:2022:Polymers Application of Mixing Rules for Adjusting the Flowability of Virgin and Post-Consumer Polypropylene as an Approach for Design from Recycling
InesTraxler.html
ChristianMarschik.html
ManuelFarthofer.html
StephanLaske.html
JoergFischer.html
https___www.mdpi.com_2073-4360_14_13_2699 https://www.mdpi.com/2073-4360/14/13/2699
http___dx.doi.org_10.3390_polym14132699 http://dx.doi.org/10.3390/polym14132699
Trefzer:2011:GPEM Justin Lee: Morphogenetic Evolvable Hardware VDM, 2008, ISBN 978-3-639-05716-4
MartinATrefzer.html
http___dx.doi.org_10.1007_s10710-010-9116-z http://dx.doi.org/10.1007/s10710-010-9116-z
Trefzer:2012:ieeeTEC On the Advantages of Variable Length GRNs for the Evolution of Multicellular Developmental Systems
MartinATrefzer.html
TuzeKuyucu.html
JulianFMiller.html
AndrewMTyrrell.html
http___dx.doi.org_10.1109_TEVC.2012.2185848 http://dx.doi.org/10.1109/TEVC.2012.2185848
Trenaman:1997:agentslb A Framework for the Evolution of Autonomous Agents
AdrianTrenaman.html
trenaman:1999:FIEACGP Further Investigations into the Evolution of Agents with Concurrent Genetic Programming
AdrianTrenaman.html
http___gpbib.cs.ucl.ac.uk_gecco1999_AA-044.pdf http://gpbib.cs.ucl.ac.uk/gecco1999/AA-044.pdf
http___gpbib.cs.ucl.ac.uk_gecco1999_AA-044.ps http://gpbib.cs.ucl.ac.uk/gecco1999/AA-044.ps
trenaman-ai97 Towards the Evolution of Stateful Autonomous Agents
AdrianTrenaman.html
trenaman:1998:cGPueseapke Concurrent Genetic Programming and the Use of Explicit State to Evolve Agents in Partially-Known Environments
AdrianTrenaman.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_gp1998_trenaman_1998_cGPueseapke.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/gp1998/trenaman_1998_cGPueseapke.pdf
trenaman:1998:cGPtpr Concurrent Genetic Programming and the Tartarus Problem Revisited
AdrianTrenaman.html
Trenaman:1998:cGProbMP Concurrent Genetic Programming and Robot Motion Planning
AdrianTrenaman.html
trenaman:1999:cGPtda Concurrent Genetic Programming, Tartarus and Dancing Agents
AdrianTrenaman.html
http___dx.doi.org_10.1007_3-540-48885-5_23 http://dx.doi.org/10.1007/3-540-48885-5_23
trenaman:thesis The Evolution of Autonomous Agents Using Concurrent Genetic Programming
AdrianTrenaman.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_trenaman_at_thesis1.ps.gz http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/trenaman/at_thesis1.ps.gz
Trendelenburg:2008:gecco A GP algorithm for efficient synthesis of GM-C filters on a hexagonal FPAA structure
StanisTrendelenburg.html
JoachimBecker.html
FabianHenrici.html
YiannosManoli.html
http___gpbib.cs.ucl.ac.uk_gecco2008_docs_p295.pdf http://gpbib.cs.ucl.ac.uk/gecco2008/docs/p295.pdf
http___dx.doi.org_10.1145_1389095.1389146 http://dx.doi.org/10.1145/1389095.1389146
Trif:2013:IJERA Gene Expression Programming Based Dataset Decoration for Improved Churn Prediction
SilviaTrif.html
AdrianVisoiu.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.418.6870 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.418.6870
http___www.ijera.com_papers_Vol3_issue3_GC3310851089.pdf http://www.ijera.com/papers/Vol3_issue3/GC3310851089.pdf
Tripathi:2018:IJCA Identification of Plant Species using Supervised Machine Learning
AnkitaTripathi.html
RaviDattaSharma.html
ShrawanKumarTrivedi.html
http___www.ijcaonline.org_archives_volume182_number13_29920-2018917755 http://www.ijcaonline.org/archives/volume182/number13/29920-2018917755
https___www.ijcaonline.org_archives_volume182_number13_tripathi-2018-ijca-917755.pdf https://www.ijcaonline.org/archives/volume182/number13/tripathi-2018-ijca-917755.pdf
http___dx.doi.org_10.5120_ijca2018917755 http://dx.doi.org/10.5120/ijca2018917755
journals/ijiit/TripathiGTK11 Wireless Sensor Node Placement Using Hybrid Genetic Programming and Genetic Algorithms
ArpitTripathi.html
PulkitGupta.html
AdityaTrivedi.html
RahulKala.html
http___www.igi-global.com_article_wireless-sensor-node-placement-using_54067 http://www.igi-global.com/article/wireless-sensor-node-placement-using/54067
http___dx.doi.org_10.4018_jiit.2011040104 http://dx.doi.org/10.4018/jiit.2011040104
Tripathi:2016:CMS Evolution of glass forming ability indicator by genetic programming
ManwendraKTripathi.html
SubhasGanguly.html
ParthaPratimDey.html
PPChattopadhyay.html
http___dx.doi.org_10.1016_j.commatsci.2016.02.037 http://dx.doi.org/10.1016/j.commatsci.2016.02.037
http___www.sciencedirect.com_science_article_pii_S0927025616300763 http://www.sciencedirect.com/science/article/pii/S0927025616300763
TRIPATHI:2017:Intermetallics A predictable glass forming ability expression by statistical learning and evolutionary intelligence
ManwendraKTripathi.html
PPChattopadhyay.html
SubhasGanguly.html
http___dx.doi.org_10.1016_j.intermet.2017.06.008 http://dx.doi.org/10.1016/j.intermet.2017.06.008
http___www.sciencedirect.com_science_article_pii_S0966979517302650 http://www.sciencedirect.com/science/article/pii/S0966979517302650
Trist:2015:IJAT An artist's experience in using an evolutionary algorithm to produce an animated artwork
KarenTrist.html
VictorCiesielski.html
PerryBarile.html
http___www.inderscience.com_link.php_id_39842 http://www.inderscience.com/link.php?id=39842
http___dx.doi.org_10.1504_IJART.2011.039842 http://dx.doi.org/10.1504/IJART.2011.039842
Trivedi:2013:CSE An Enhanced Genetic Programming Approach for Detecting Unsolicited Emails
ShrawanKumarTrivedi.html
ShubhamoyDey.html
http___dx.doi.org_10.1109_CSE.2013.171 http://dx.doi.org/10.1109/CSE.2013.171
trivino:2012:IJBAS-IJENS General Method Of Multivariate Non-Linear Regression Based On Genetic Programming
JorgeEduardoOrtizTrivino.html
MauroFlorezCalderon.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.418.6751 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.418.6751
https___www.ijens.org_IJBASVol12Issue03.html https://www.ijens.org/IJBASVol12Issue03.html
http___www.ijens.org_Vol_12_I_03_121803-6464-IJBAS-IJENS.pdf http://www.ijens.org/Vol_12_I_03/121803-6464-IJBAS-IJENS.pdf
journals/jaihc/TroianoBA16 Searching optimal menu layouts by linear genetic programming
LuigiTroiano.html
CosimoBirtolo.html
RobertoArmenise.html
http___dx.doi.org_10.1007_s12652-015-0322-7 http://dx.doi.org/10.1007/s12652-015-0322-7
Troise:2017:GPTP Lexicase Selection with Weighted Shuffle
SarahAnneTroise.html
ThomasHelmuth.html
https___link.springer.com_chapter_10.1007_978-3-319-90512-9_6 https://link.springer.com/chapter/10.1007/978-3-319-90512-9_6
http___dx.doi.org_10.1007_978-3-319-90512-9_6 http://dx.doi.org/10.1007/978-3-319-90512-9_6
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AndrewTrotman.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.1042.5037 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.1042.5037
http___ccc.inaoep.mx__7Evillasen_bib_Trotman-lerningRank07.pdf http://ccc.inaoep.mx/%7Evillasen/bib/Trotman-lerningRank07.pdf
http___dx.doi.org_10.1007_s10791-005-6991-7 http://dx.doi.org/10.1007/s10791-005-6991-7
TRUDA:2021:JBI Evaluating warfarin dosing models on multiple datasets with a novel software framework and evolutionary optimisation
GianlucaTruda.html
PatrickMarais.html
http___dx.doi.org_10.1016_j.jbi.2020.103634 http://dx.doi.org/10.1016/j.jbi.2020.103634
https___www.sciencedirect.com_science_article_pii_S1532046420302628 https://www.sciencedirect.com/science/article/pii/S1532046420302628
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AlexandreTrudeau.html
ChristopherMClark.html
http___arxiv.org_abs_1912.09503 http://arxiv.org/abs/1912.09503
https___dblp.org_rec_journals_corr_abs-1912-09503.bib https://dblp.org/rec/journals/corr/abs-1912-09503.bib
1144151 Synthesis of interest point detectors through genetic programming
LeonardoTrujillo.html
GustavoOlague.html
http___gpbib.cs.ucl.ac.uk_gecco2006_docs_p887.pdf http://gpbib.cs.ucl.ac.uk/gecco2006/docs/p887.pdf
http___dx.doi.org_10.1145_1143997.1144151 http://dx.doi.org/10.1145/1143997.1144151
Trujillo:2006:ICPR Using Evolution to Learn How to Perform Interest Point Detection
LeonardoTrujillo.html
GustavoOlague.html
http___www.genetic-programming.org_hc2006_Olague-Paper-2-ICPR-2006.pdf http://www.genetic-programming.org/hc2006/Olague-Paper-2-ICPR-2006.pdf
http___dx.doi.org_10.1109_ICPR.2006.1153 http://dx.doi.org/10.1109/ICPR.2006.1153
Trujillo2:2008:gecco Multiobjective design of operators that detect points of interest in images
LeonardoTrujillo.html
GustavoOlague.html
EvelyneLutton.html
FranciscoFernandezdeVega.html
http___gpbib.cs.ucl.ac.uk_gecco2008_docs_p1299.pdf http://gpbib.cs.ucl.ac.uk/gecco2008/docs/p1299.pdf
http___dx.doi.org_10.1145_1389095.1389344 http://dx.doi.org/10.1145/1389095.1389344
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LeonardoTrujillo.html
GustavoOlague.html
http___dx.doi.org_10.1162_evco.2008.16.4.483 http://dx.doi.org/10.1162/evco.2008.16.4.483
Trujillo:2009:EIASP Detecting Scale-Invariant Regions Using Evolved Image Operators
LeonardoTrujillo.html
GustavoOlague.html
http___dx.doi.org_10.1007_978-3-642-01636-3_2 http://dx.doi.org/10.1007/978-3-642-01636-3_2
Trujillo:2010:gecco The estimation of h\"olderian regularity using genetic programming
LeonardoTrujillo.html
PierrickLegrand.html
JacquesLevy-Vehel.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.220.3708 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.220.3708
http___hal.inria.fr_docs_00_53_89_43_PDF_t10fp182-trujillo.pdf http://hal.inria.fr/docs/00/53/89/43/PDF/t10fp182-trujillo.pdf
http___dx.doi.org_10.1145_1830483.1830641 http://dx.doi.org/10.1145/1830483.1830641
trujillo:2011:EuroGP An empirical study of functional complexity as an indicator of overfitting in Genetic Programming
LeonardoTrujillo.html
SaraSilva.html
PierrickLegrand.html
LeonardoVanneschi.html
http___dx.doi.org_10.1007_978-3-642-20407-4_23 http://dx.doi.org/10.1007/978-3-642-20407-4_23
trujillo2:2011:EuroGP Estimating classifier performance with Genetic Programming
LeonardoTrujillo.html
YulianaMartinez.html
PatriciaMelin.html
http___dx.doi.org_10.1007_978-3-642-20407-4_24 http://dx.doi.org/10.1007/978-3-642-20407-4_24
Trujillo:2011:GECCO Predicting problem difficulty for genetic programming applied to data classification
LeonardoTrujillo.html
YulianaMartinez.html
EdgarGalvanLopez.html
PierrickLegrand.html
http___dx.doi.org_10.1145_2001576.2001759 http://dx.doi.org/10.1145/2001576.2001759
Trujillo:2011:GECCOcomp How many neurons?: a genetic programming answer
LeonardoTrujillo.html
YulianaMartinez.html
PatriciaMelin.html
http___dx.doi.org_10.1145_2001858.2001956 http://dx.doi.org/10.1145/2001858.2001956
Trujillo:2011:SC Genetic programming with one-point crossover and subtree mutation for effective problem solving and bloat control
LeonardoTrujillo.html
http___dx.doi.org_10.1007_s00500-010-0687-7 http://dx.doi.org/10.1007/s00500-010-0687-7
Trujillo:2012:GECCOcomp A comparative study of an evolvability indicator and a predictor of expected performance for genetic programming
LeonardoTrujillo.html
YulianaMartinez.html
EdgarGalvanLopez.html
PierrickLegrand.html
http___dx.doi.org_10.1145_2330784.2331006 http://dx.doi.org/10.1145/2330784.2331006
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LeonardoTrujillo.html
PierrickLegrand.html
GustavoOlague.html
JacquesLevy-Vehel.html
http___dx.doi.org_10.1016_j.ins.2012.04.043 http://dx.doi.org/10.1016/j.ins.2012.04.043
http___www.sciencedirect.com_science_article_pii_S0020025512003386 http://www.sciencedirect.com/science/article/pii/S0020025512003386
http___hal.inria.fr_hal-00643387 http://hal.inria.fr/hal-00643387
http___hal.inria.fr_docs_00_64_33_87_PDF_INS-S-11-01794-extrait.pdf http://hal.inria.fr/docs/00/64/33/87/PDF/INS-S-11-01794-extrait.pdf
ERA_2012_NSC A comparison of predictive measures of problem difficulty for classification with Genetic Programming
LeonardoTrujillo.html
YulianaMartinez.html
EdgarGalvanLopez.html
PierrickLegrand.html
http___hal.inria.fr_hal-00757363 http://hal.inria.fr/hal-00757363
http___hal.inria.fr_docs_00_75_73_63_PDF_ERA_2012_NSC.pdf http://hal.inria.fr/docs/00/75/73/63/PDF/ERA_2012_NSC.pdf
Trujillo:2013:EVOLVE Preliminary Study of Bloat in Genetic Programming with Behavior-Based Search
LeonardoTrujillo.html
EnriqueNaredo.html
YulianaMartinez.html
http___dx.doi.org_10.1007_978-3-319-01128-8_19 http://dx.doi.org/10.1007/978-3-319-01128-8_19
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LeonardoTrujillo.html
MarioGarcia-Valdez.html
FranciscoFernandezdeVega.html
JuanJulianMerelo.html
http___dx.doi.org_10.1109_CEC.2013.6557918 http://dx.doi.org/10.1109/CEC.2013.6557918
Trujillo:2013:GECCOcomp A behavior-based analysis of modal problems
LeonardoTrujillo.html
LeeSpector.html
EnriqueNaredo.html
YulianaMartinez.html
http___dx.doi.org_10.1145_2464576.2482682 http://dx.doi.org/10.1145/2464576.2482682
trujillo:2014:EuroGP NEAT, There's No Bloat
LeonardoTrujillo.html
LuisMunozDelgado.html
EnriqueNaredo.html
YulianaMartinez.html
http___dx.doi.org_10.1007_978-3-662-44303-3_15 http://dx.doi.org/10.1007/978-3-662-44303-3_15
Trujillo:2015:GPEM Kenneth O. Stanley and Joel Lehman: Why greatness cannot be planned: the myth of the objective
LeonardoTrujillo.html
http___dx.doi.org_10.1007_s10710-015-9250-8 http://dx.doi.org/10.1007/s10710-015-9250-8
Trujillo:2016:IS neat Genetic Programming: Controlling Bloat Naturally
LeonardoTrujillo.html
LuisMunozDelgado.html
EdgarGalvanLopez.html
SaraSilva.html
http___mural.maynoothuniversity.ie_12330_ http://mural.maynoothuniversity.ie/12330/
http___mural.maynoothuniversity.ie_12330_1_Galvan_neat_2016.pdf http://mural.maynoothuniversity.ie/12330/1/Galvan_neat_2016.pdf
http___www.sciencedirect.com_science_article_pii_S0020025515008038 http://www.sciencedirect.com/science/article/pii/S0020025515008038
http___dx.doi.org_10.1016_j.ins.2015.11.010 http://dx.doi.org/10.1016/j.ins.2015.11.010
Trujillo:2016:GPTP Local Search is Underused in Genetic Programming
LeonardoTrujillo.html
EmigdioZ-Flores.html
PerlaSarahiJuarez-Smith.html
PierrickLegrand.html
SaraSilva.html
MauroCastelli.html
LeonardoVanneschi.html
OliverSchuetze.html
LuisMunozDelgado.html
https___hal.inria.fr_hal-01388426 https://hal.inria.fr/hal-01388426
https___www.researchgate.net_publication_312016495_Local_Search_is_Underused_in_Genetic_Programming https://www.researchgate.net/publication/312016495_Local_Search_is_Underused_in_Genetic_Programming
https___www.springer.com_us_book_9783319970875 https://www.springer.com/us/book/9783319970875
Trujillo:2016:GECCOcomp neat Genetic Programming: Controlling Bloat Naturally
LeonardoTrujillo.html
LuisMunozDelgado.html
EdgarGalvanLopez.html
SaraSilva.html
trujillo:2018:GPTP Untapped Potential of Genetic Programming: Transfer Learning and Outlier Removal
LeonardoTrujillo.html
LuisMunozDelgado.html
UrielLopez.html
DanielEduardoHernandezMorales.html
http___link.springer.com_chapter_10.1007_978-3-030-04735-1_10 http://link.springer.com/chapter/10.1007/978-3-030-04735-1_10
http___dx.doi.org_10.1007_978-3-030-04735-1_10 http://dx.doi.org/10.1007/978-3-030-04735-1_10
trujillo:2018:sigevolution EuroGP 2018 Panel Debate: Genetic Programming in the Era of Deep Neural Networks
LeonardoTrujillo.html
WilliamBLangdon.html
http___www.sigevolution.org_issues_SIGEVOlution1102.pdf http://www.sigevolution.org/issues/SIGEVOlution1102.pdf
http___dx.doi.org_10.1145_3264700.3264701 http://dx.doi.org/10.1145/3264700.3264701
TRUJILLO:2020:IS SOAP: Semantic outliers automatic preprocessing
LeonardoTrujillo.html
UrielLopez.html
PierrickLegrand.html
http___dx.doi.org_10.1016_j.ins.2020.03.071 http://dx.doi.org/10.1016/j.ins.2020.03.071
http___www.sciencedirect.com_science_article_pii_S0020025520302516 http://www.sciencedirect.com/science/article/pii/S0020025520302516
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LeonardoTrujillo.html
ErnestoAlvarezGonzalez.html
EdgarGalvanLopez.html
JuanJoseTapiaArmenta.html
AntoninSebastienPonsich.html
https___doi.org_10.1007_s00500-020-04829-4 https://doi.org/10.1007/s00500-020-04829-4
http___dx.doi.org_10.1007_s00500-020-04829-4 http://dx.doi.org/10.1007/s00500-020-04829-4
https___dblp.org_rec_journals_soco_TrujilloGGTP20.bib https://dblp.org/rec/journals/soco/TrujilloGGTP20.bib
Trujillo:2021:IEEESoftware A Novel Approach For Search-Based Program Repair
LeonardoTrujillo.html
OmarManuelVillanuevaContreras.html
DanielEduardoHernandezMorales.html
http___dx.doi.org_10.1109_MS.2021.3070552 http://dx.doi.org/10.1109/MS.2021.3070552
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LeonardoTrujillo.html
JoseManuelMunozContreras.html
DanielEduardoHernandezMorales.html
MauroCastelli.html
JuanJoseTapiaArmenta.html
https___arxiv.org_abs_2106.04034 https://arxiv.org/abs/2106.04034
https___dblp.org_rec_journals_corr_abs-2106-04034.bib https://dblp.org/rec/journals/corr/abs-2106-04034.bib
Trujillo:2022:SoftwareX GSGP-CUDA - A CUDA framework for Geometric Semantic Genetic Programming
LeonardoTrujillo.html
JoseManuelMunozContreras.html
DanielEduardoHernandezMorales.html
MauroCastelli.html
JuanJoseTapiaArmenta.html
https___www.softxjournal.com_article_S2352-7110_22_00060-7_pdf https://www.softxjournal.com/article/S2352-7110(22)00060-7/pdf
https___www.sciencedirect.com_science_article_pii_S2352711022000607 https://www.sciencedirect.com/science/article/pii/S2352711022000607
http___dx.doi.org_10.1016_j.softx.2022.101085 http://dx.doi.org/10.1016/j.softx.2022.101085
https___github.com_ElsevierSoftwareX_SOFTX_2020_38 https://github.com/ElsevierSoftwareX/SOFTX_2020_38
Trujillo:2022:GPEM Editorial Introduction
LeonardoTrujillo.html
TingHu.html
NunoLourenco.html
MengjieZhang.html
https___rdcu.be_cUpQh https://rdcu.be/cUpQh
http___dx.doi.org_10.1007_s10710-022-09437-9 http://dx.doi.org/10.1007/s10710-022-09437-9
Trujillo-Romero:2013:IJBIC Generation of neural networks using a genetic algorithm approach
FelipeTrujillo-Romero.html
http___www.inderscience.com_link.php_id_57183 http://www.inderscience.com/link.php?id=57183
http___dx.doi.org_10.1504_IJBIC.2013.057183 http://dx.doi.org/10.1504/IJBIC.2013.057183
Truscott:2011:GPTP Detecting Shadow Economy Sizes with Symbolic Regression
PhilipDTruscott.html
MichaelKorns.html
http___dx.doi.org_10.1007_978-1-4614-1770-5_11 http://dx.doi.org/10.1007/978-1-4614-1770-5_11
Truscott:2013:GPTP Explaining Unemployment Rates with Symbolic Regression
PhilipDTruscott.html
MichaelKorns.html
http___dx.doi.org_10.1007_978-1-4939-0375-7_7 http://dx.doi.org/10.1007/978-1-4939-0375-7_7
Truscott:2015:GPTP Predicting Product Choice with Symbolic Regression and Classification
PhilipDTruscott.html
MichaelKorns.html
http___www.springer.com_us_book_9783319342214 http://www.springer.com/us/book/9783319342214
http___dx.doi.org_10.1007_978-3-319-34223-8_12 http://dx.doi.org/10.1007/978-3-319-34223-8_12
Tsai200911994 Intrusion detection by machine learning: A review
Chih-FongTsai.html
Yu-FengHsu.html
Chia-YingLin.html
Wei-YangLin.html
http___dx.doi.org_10.1016_j.eswa.2009.05.029 http://dx.doi.org/10.1016/j.eswa.2009.05.029
http___www.sciencedirect.com_science_article_B6V03-4WBC1NH-C_2_3e0271b6e5009bc945abd584bdb46c71 http://www.sciencedirect.com/science/article/B6V03-4WBC1NH-C/2/3e0271b6e5009bc945abd584bdb46c71
Tsai201111032 Modular neural network programming with genetic optimization
Hsing-ChihTsai.html
Yong-HuangLin.html
http___dx.doi.org_10.1016_j.eswa.2011.02.147 http://dx.doi.org/10.1016/j.eswa.2011.02.147
http___www.sciencedirect.com_science_article_B6V03-52BGCPB-2_2_707c22583fca77726a94edea04a48c8d http://www.sciencedirect.com/science/article/B6V03-52BGCPB-2/2/707c22583fca77726a94edea04a48c8d
Tsai2011161 Weighted operation structures to program strengths of concrete-typed specimens using genetic algorithm
Hsing-ChihTsai.html
http___dx.doi.org_10.1016_j.eswa.2010.06.034 http://dx.doi.org/10.1016/j.eswa.2010.06.034
http___www.sciencedirect.com_science_article_pii_S0957417410005385 http://www.sciencedirect.com/science/article/pii/S0957417410005385
Tsai2011526 Using weighted genetic programming to program squat wall strengths and tune associated formulas
Hsing-ChihTsai.html
http___dx.doi.org_10.1016_j.engappai.2010.08.010 http://dx.doi.org/10.1016/j.engappai.2010.08.010
http___www.sciencedirect.com_science_article_B6V2M-512KGGT-1_2_19ea4426ab2d8ed33e75c91b78297d2f http://www.sciencedirect.com/science/article/B6V2M-512KGGT-1/2/19ea4426ab2d8ed33e75c91b78297d2f
journals/ewc/TsaiL11 Predicting high-strength concrete parameters using weighted genetic programming
Hsing-ChihTsai.html
Yong-HuangLin.html
http___dx.doi.org_10.1007_s00366-011-0208-z http://dx.doi.org/10.1007/s00366-011-0208-z
Tsai:2013:GPEM Improving analytical models of circular concrete columns with genetic programming polynomials
Hsing-ChihTsai.html
Chan-PingPan.html
http___dx.doi.org_10.1007_s10710-012-9176-3 http://dx.doi.org/10.1007/s10710-012-9176-3
tsai:2013:NCA Determining ultimate bearing capacity of shallow foundations using a genetic programming system
Hsing-ChihTsai.html
Yaw-YauanTyan.html
Yun-WuWu.html
Yong-HuangLin.html
http___link.springer.com_article_10.1007_s00521-012-1150-8 http://link.springer.com/article/10.1007/s00521-012-1150-8
http___dx.doi.org_10.1007_s00521-012-1150-8 http://dx.doi.org/10.1007/s00521-012-1150-8
tsai:2019:KSCEjce Modeling Torsional Strength of Reinforced Concrete Beams using Genetic Programming Polynomials with Building Codes
Hsing-ChihTsai.html
Min-ChihLiao.html
http___link.springer.com_article_10.1007_s12205-019-1292-7 http://link.springer.com/article/10.1007/s12205-019-1292-7
http___dx.doi.org_10.1007_s12205-019-1292-7 http://dx.doi.org/10.1007/s12205-019-1292-7
tsakonas_role_2000 The Role of Genetic Algorithms and Wavelets in Computational Intelligence-based Decision Support for Stock Exchange Daily Trading
AthanasiosDTsakonas.html
GeorgiosDounias.html
AMerikas.html
http___www.sigef.net_congress_previous-congress_item_465-finance-and-economics http://www.sigef.net/congress/previous-congress/item/465-finance-and-economics
https___www.researchgate.net_publication_225285068_The_role_of_genetic_algorithms_and_wavelets_in_computational_intelligence_based_decision_support_for_stock_exchange_daily_trading https://www.researchgate.net/publication/225285068_The_role_of_genetic_algorithms_and_wavelets_in_computational_intelligence_based_decision_support_for_stock_exchange_daily_trading
tsakonas_throughput_2001 Calculation of throughput for production lines with buffers using computational intelligence
AthanasiosDTsakonas.html
ChrissoleonTPapadopoulos.html
GeorgiosDounias.html
http___mde-lab.aegean.gr_images_stories_docs_CC21.pdf http://mde-lab.aegean.gr/images/stories/docs/CC21.pdf
Tsakonas:2001:EUNITEa Hybrid Computational Intelligence for Handling Diagnosis of Aphasia
AthanasiosDTsakonas.html
GeorgiosDounias.html
DiedrichGrafvonKeyserlingk.html
HubertusAxer.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.148.5734 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.148.5734
Tsakonas:2001:EUNITEpap A Hybrid Computational Intelligence Approach Combining Genetic Programming and Heuristic Classification for Pap-Smear Diagnosis
AthanasiosDTsakonas.html
GeorgiosDounias.html
JanJantzen.html
BethBjerregaard.html
http___www.eunite.org_eunite_events_eunite2001_Papers_13354_P_Dounias.pdf http://www.eunite.org/eunite/events/eunite2001/Papers/13354_P_Dounias.pdf
tsakonas_data_2001 Data classification using fuzzy rule-based systems represented as genetic programming type-constrained trees
AthanasiosDTsakonas.html
GeorgiosDounias.html
HubertusAxer.html
DiedrichGrafvonKeyserlingk.html
http___www.dai.ed.ac.uk_homes_ukci-01_programme http://www.dai.ed.ac.uk/homes/ukci-01/programme
https___pdfs.semanticscholar.org_76e1_f94fd064287f38e044523b1d1e40e0164a53.pdf https://pdfs.semanticscholar.org/76e1/f94fd064287f38e044523b1d1e40e0164a53.pdf
tsakonas_how_2001 How wavelets and genetic algorithms can assist Intelligent Hybrid Methodologies in handling data driven Stock Exchange daily trading
AthanasiosDTsakonas.html
GeorgiosDounias.html
AMerikas.html
https___doi.org_10.1142_9789812810892_0013 https://doi.org/10.1142/9789812810892_0013
http___dx.doi.org_10.1142_9789812810892_0013 http://dx.doi.org/10.1142/9789812810892_0013
tsakonas_generalized_2001 Generalized Short-stage Multichannel Queuing Models Using Genetic Algorithms: A Real-World Application to Seaports
AthanasiosDTsakonas.html
HelenKitrinou.html
GeorgiosDounias.html
http___www.stt.aegean.gr_geopolab__private_MANAGEMENT_20SCIENCES_20AND_20REGIONAL_20DEVELOPMENT_203_20-_20Tsakonas_20Kitrinou_20Dounias_20-_20Shortstage_20multichannel_20queuing_20models_20genetic_20algorithms._20Seaports.pdf http://www.stt.aegean.gr/geopolab/_private/MANAGEMENT%20SCIENCES%20AND%20REGIONAL%20DEVELOPMENT%203%20-%20Tsakonas%20Kitrinou%20Dounias%20-%20Shortstage%20multichannel%20queuing%20models%20genetic%20algorithms.%20Seaports.pdf
https___pdfs.semanticscholar.org_7f32_d6de7a91d93e352489a7c19652f1e196f9bf.pdf https://pdfs.semanticscholar.org/7f32/d6de7a91d93e352489a7c19652f1e196f9bf.pdf
oai:CiteSeerPSU:573568 A Scheme for the Evolution of Feedforward Neural Networks using BNF-Grammar Driven Genetic Programming
AthanasiosDTsakonas.html
GeorgiosDounias.html
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oai:CiteSeerPSU:563995 Soft Computing-Based Result Prediction of Football Games
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VVivdyuk.html
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tsakonas_comparing_2002 Comparing the effectiveness of support vector machines with fuzzy, neuro-fuzzy and genetic programming approaches in result prediction of football games
AthanasiosDTsakonas.html
GeorgiosDounias.html
SerhiDShtovba.html
VVivdyuk.html
http___mde-lab.aegean.gr_images_stories_docs_CC32.pdf http://mde-lab.aegean.gr/images/stories/docs/CC32.pdf
Tsakonas:2004:JAL An evolutionary system for neural logic networks using genetic programming and indirect encoding
AthanasiosDTsakonas.html
VasiliosAggelis.html
IoannisKarkazis.html
GeorgiosDounias.html
http___www.sciencedirect.com_science_article_B758H-4C8P84V-1_2_e66a004270eeee4e1c50fa3e09ddd003 http://www.sciencedirect.com/science/article/B758H-4C8P84V-1/2/e66a004270eeee4e1c50fa3e09ddd003
http___dx.doi.org_10.1016_j.jal.2004.03.005 http://dx.doi.org/10.1016/j.jal.2004.03.005
Tsakonas:2004:SIGEF Grammar-guided genetic programming for fuzzy rule-based classification in credit management
AthanasiosDTsakonas.html
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https___eprints.bournemouth.ac.uk_17874_ https://eprints.bournemouth.ac.uk/17874/
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http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.149.5637 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.149.5637
Tsakonas:2004:AIM Evolving rule-based systems in two medical domains using genetic programming
AthanasiosDTsakonas.html
GeorgiosDounias.html
JanJantzen.html
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DiedrichGrafvonKeyserlingk.html
http___www.sciencedirect.com_science_article_B6T4K-4DPSHH7-1_2_621e877a6e662298c25372811ae23041 http://www.sciencedirect.com/science/article/B6T4K-4DPSHH7-1/2/621e877a6e662298c25372811ae23041
http___dx.doi.org_10.1016_j.artmed.2004.02.007 http://dx.doi.org/10.1016/j.artmed.2004.02.007
Tsakonas:2004:EUNITE Neural Logic Networks in Two Medical Decision Tasks
AthanasiosDTsakonas.html
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http___athanasiostsakonas.jimdo.com_app_download_2923955351_4af470df_d1cdc4a049a736b7ed25c1ff7b47df0eb770fe20_tsakonas-dounias-eunite-04.pdf http://athanasiostsakonas.jimdo.com/app/download/2923955351/4af470df/d1cdc4a049a736b7ed25c1ff7b47df0eb770fe20/tsakonas-dounias-eunite-04.pdf
Tsakonas:2004:ieeeIS Towards neural-symbolic integration: the evolutionary neural logic networks
AthanasiosDTsakonas.html
http___ieeexplore.ieee.org_stamp_stamp.jsp_tp__arnumber_1344655 http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=1344655
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.149.7608 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.149.7608
tsakonas_automated_2004 Automated Expert Knowledge Base Generation Using Genetic Programming
AthanasiosDTsakonas.html
GeorgiosDounias.html
http___eprints.bournemouth.ac.uk_17868_1_tsakonas-dounias-SETN-2004.pdf http://eprints.bournemouth.ac.uk/17868/1/tsakonas-dounias-SETN-2004.pdf
conf/anns/TsakonasD05 An Architecture-Altering and Training Methodology for Neural Logic Networks: Application in the Banking Sector
AthanasiosDTsakonas.html
GeorgiosDounias.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.149.8601 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.149.8601
Tsakonas:2006:IS A comparison of classification accuracy of four genetic programming-evolved intelligent structures
AthanasiosDTsakonas.html
http___dx.doi.org_10.1016_j.ins.2005.03.012 http://dx.doi.org/10.1016/j.ins.2005.03.012
Tsakonas:Bpw:06 Bankruptcy prediction with neural logic networks by means of grammar-guided genetic programming
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GeorgiosDounias.html
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http___dx.doi.org_10.1016_j.eswa.2005.10.009 http://dx.doi.org/10.1016/j.eswa.2005.10.009
Tsakonas:2006:EFS Towards a Comprehensible and Accurate Credit Management Model: Application of Four Computational Intelligence Methodologies
AthanasiosDTsakonas.html
NikoloasAmpazis.html
GeorgiosDounias.html
http___dx.doi.org_10.1109_ISEFS.2006.251142 http://dx.doi.org/10.1109/ISEFS.2006.251142
Tsakonas:2006:ISEFS Towards a Comprehensible and Accurate Credit Management Model: Application of Four Computational Intelligence Methodologies
AthanasiosDTsakonas.html
NikolaosAmpazis.html
GeorgiosDounias.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.149.7374 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.149.7374
http___dx.doi.org_10.1109_ISEFS.2006.251142 http://dx.doi.org/10.1109/ISEFS.2006.251142
journals/aai/TsakonasD07 Evolving Neural-Symbolic Systems Guided by Adaptive Training Schemes: Applications in Finance
AthanasiosDTsakonas.html
GeorgiosDounias.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.149.2917 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.149.2917
http___dx.doi.org_10.1080_08839510701492603 http://dx.doi.org/10.1080/08839510701492603
conf/icsoft/TsakonasD08 Application of Genetic Programming in Software Engineering Empirical Data Modelling
AthanasiosDTsakonas.html
GeorgiosDounias.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.148.5003 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.148.5003
conf/setn/TsakonasD08 Predicting Defects in Software Using Grammar-Guided Genetic Programming
AthanasiosDTsakonas.html
GeorgiosDounias.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.149.3005 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.149.3005
http___dx.doi.org_10.1007_978-3-540-87881-0_42 http://dx.doi.org/10.1007/978-3-540-87881-0_42
conf/ic3k/TsakonasD09 Deriving Models for Software Project Effort Estimation by Means of Genetic Programming
AthanasiosDTsakonas.html
GeorgiosDounias.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.149.2051 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.149.2051
conf/ijcci/TsakonasG11 Evolving Takagi-Sugeno-Kang Fuzzy Systems using Multi Population Grammar-Guided Genetic Programming
AthanasiosDTsakonas.html
BogdanGabrys.html
http___eprints.bournemouth.ac.uk_18460_1_Tsak_2DGabr_2DECTA_2D2011_2DCamRdy.pdf http://eprints.bournemouth.ac.uk/18460/1/Tsak%2DGabr%2DECTA%2D2011%2DCamRdy.pdf
http___eprints.bournemouth.ac.uk_18460_ http://eprints.bournemouth.ac.uk/18460/
http___dblp.l3s.de_d2r_page_publications_conf_ijcci_TsakonasG11 http://dblp.l3s.de/d2r/page/publications/conf/ijcci/TsakonasG11
Tsakonas2012 GRADIENT: Grammar-driven genetic programming framework for building multi-component, hierarchical predictive systems
AthanasiosDTsakonas.html
BogdanGabrys.html
http___www.sciencedirect.com_science_article_pii_S0957417412007920 http://www.sciencedirect.com/science/article/pii/S0957417412007920
http___dx.doi.org_10.1016_j.eswa.2012.05.076 http://dx.doi.org/10.1016/j.eswa.2012.05.076
Tsakonas:2013:ESA Local and global optimization for Takagi-Sugeno fuzzy system by memetic genetic programming
AthanasiosDTsakonas.html
http___dx.doi.org_10.1016_j.eswa.2012.12.099 http://dx.doi.org/10.1016/j.eswa.2012.12.099
http___www.sciencedirect.com_science_article_pii_S0957417412013413 http://www.sciencedirect.com/science/article/pii/S0957417412013413
Tsakonas:2013:ASC A fuzzy evolutionary framework for combining ensembles
AthanasiosDTsakonas.html
BogdanGabrys.html
http___www.sciencedirect.com_science_article_pii_S1568494612005716 http://www.sciencedirect.com/science/article/pii/S1568494612005716
http___dx.doi.org_10.1016_j.asoc.2012.12.027 http://dx.doi.org/10.1016/j.asoc.2012.12.027
tsang:1998:eddie EDDIE beats the bookies
EdwardPKTsang.html
JinLi.html
JamesMButler.html
http___cswww.essex.ac.uk_CSP_finance_papers_TsBuLi-Eddie-Software98.pdf http://cswww.essex.ac.uk/CSP/finance/papers/TsBuLi-Eddie-Software98.pdf
https___onlinelibrary.wiley.com_doi_abs_10.1002__SICI_1097-024X_199808_28_10_3C1033__AID-SPE198_3E3.0.CO_3B2-1 https://onlinelibrary.wiley.com/doi/abs/10.1002/(SICI)1097-024X(199808)28:10%3C1033::AID-SPE198%3E3.0.CO%3B2-1
http___dx.doi.org_10.1002__SICI_1097-024X_199808_28_10_3C1033__AID-SPE198_3E3.0.CO_3B2-1 http://dx.doi.org/10.1002/(SICI)1097-024X(199808)28:10%3C1033::AID-SPE198%3E3.0.CO%3B2-1
Tsang:2000:JME EDDIE In Financial Decision Making
EdwardPKTsang.html
JinLi.html
SheriMMarkose.html
HakanEr.html
AbdelSalhi.html
GiuliaIori.html
http___cswww.essex.ac.uk_CSP_finance_papers_Tsang-Eddie-JMgtEcon2000.ps http://cswww.essex.ac.uk/CSP/finance/papers/Tsang-Eddie-JMgtEcon2000.ps
Tsang:2000:COF Combining Ordinal Financial Predictions with Genetic Programming
EdwardPKTsang.html
JinLi.html
http___www.cs.bham.ac.uk__jxl_cercialink_web_publication_TsangLi-Ideal2000.pdf http://www.cs.bham.ac.uk/~jxl/cercialink/web/publication/TsangLi-Ideal2000.pdf
http___dx.doi.org_10.1007_3-540-44491-2_77 http://dx.doi.org/10.1007/3-540-44491-2_77
Tsang:2002:gagpcf EDDIE for financial forecasting
EdwardPKTsang.html
JinLi.html
http___cswww.essex.ac.uk_CSP_finance_papers_TsangLi-FGP-Chen_CompFinance.pdf http://cswww.essex.ac.uk/CSP/finance/papers/TsangLi-FGP-Chen_CompFinance.pdf
http___www.springer.com_economics_economic_theory_book_978-0-7923-7601-9 http://www.springer.com/economics/economic+theory/book/978-0-7923-7601-9
http___dx.doi.org_10.1007_978-1-4615-0835-9_7 http://dx.doi.org/10.1007/978-1-4615-0835-9_7
Tsang:2004:DSS EDDIE-Automation, a decision support tool for financial forecasting
EdwardPKTsang.html
PaulYung.html
JinLi.html
http___cswww.essex.ac.uk_CSP_finance_papers_TsYuLi-Eddie-Dss2004.pdf http://cswww.essex.ac.uk/CSP/finance/papers/TsYuLi-Eddie-Dss2004.pdf
http___dx.doi.org_10.1016_S0167-9236_03_00087-3 http://dx.doi.org/10.1016/S0167-9236(03)00087-3
tsang05:_chanc Chance discovery in stock index option and future arbitrage
EdwardPKTsang.html
SheriMMarkose.html
HakanEr.html
http___dx.doi.org_10.1142_S1793005705000251 http://dx.doi.org/10.1142/S1793005705000251
eurogp06:TsangJin Incentive Method to Handle Constraints in Evolutionary
EdwardPKTsang.html
NanlinJin.html
http___dx.doi.org_10.1007_11729976_12 http://dx.doi.org/10.1007/11729976_12
Tsarev:2011:GECCOcomp Finite state machine induction using genetic algorithm based on testing and model checking
FedorTsarev.html
KirillEgorov.html
http___dx.doi.org_10.1145_2001858.2002085 http://dx.doi.org/10.1145/2001858.2002085
Tseng:2022:EuroGP Synthesizing Programs from Program Pieces using Genetic Programming and Refinement Type Checking
SabrinaTseng.html
ErikHemberg.html
Una-MayO'Reilly.html
http___dx.doi.org_10.1007_978-3-031-02056-8_13 http://dx.doi.org/10.1007/978-3-031-02056-8_13
https___github.com_sabrinatseng_GAble https://github.com/sabrinatseng/GAble
Tseng:2005:CSI Applying genetic algorithm for the development of the components-based embedded system
Tzu-Laing_Bill_Tseng.html
Wen-YauLiang.html
Chun-CheHuang.html
Tsung-YuChian.html
http___www.sciencedirect.com_science_article_B6TYV-4F5S6C2-1_2_47d01c7228b5c5fa4f02db5227be3171 http://www.sciencedirect.com/science/article/B6TYV-4F5S6C2-1/2/47d01c7228b5c5fa4f02db5227be3171
http___dx.doi.org_10.1016_j.csi.2004.12.001 http://dx.doi.org/10.1016/j.csi.2004.12.001
Yao-Ting.Tseng:thesis Recognition and assessment of seafloor vegetation using a single beam echosounder
Yao-TingTseng.html
http___espace.library.curtin.edu.au_80_R_func_dbin-jump-full_local_base_gen01-era02_object_id_128517 http://espace.library.curtin.edu.au:80/R?func=dbin-jump-full&local_base=gen01-era02&object_id=128517
Tserenchimed:2011:GECCOcomp A trading method in FX using evolutionary algorithms: extensions based on reverse trend and settlement timing
BadarchTserenchimed.html
ShuLiu.html
HitoshiIba.html
http___dx.doi.org_10.1145_2001858.2001937 http://dx.doi.org/10.1145/2001858.2001937
TSIONAS:2020:IJHM Symbolic regression for better specification
MikeGTsionas.html
AGeorgeAssaf.html
http___dx.doi.org_10.1016_j.ijhm.2020.102638 http://dx.doi.org/10.1016/j.ijhm.2020.102638
http___www.sciencedirect.com_science_article_pii_S0278431920301900 http://www.sciencedirect.com/science/article/pii/S0278431920301900
Tsoulos:Gcr:06 Genetically controlled random search: a global optimization method for continuous multidimensional functions
IoannisGTsoulos.html
IsaacELagaris.html
http___www.cs.uoi.gr__lagaris_papers_GCRS.pdf http://www.cs.uoi.gr/~lagaris/papers/GCRS.pdf
http___dx.doi.org_10.1016_j.cpc.2005.09.007 http://dx.doi.org/10.1016/j.cpc.2005.09.007
Tsoulos:GAt:06 GDF: A tool for function estimation through grammatical evolution
IoannisGTsoulos.html
DimitrisGavrilis.html
EvangelosDermatas.html
http___dx.doi.org_10.1016_j.cpc.2005.11.003 http://dx.doi.org/10.1016/j.cpc.2005.11.003
Tsoulos:2006:GPEM Solving differential equations with genetic programming
IoannisGTsoulos.html
IsaacELagaris.html
http___www.cs.uoi.gr__lagaris_papers_PREPRINTS_DEwGE.pdf http://www.cs.uoi.gr/~lagaris/papers/PREPRINTS/DEwGE.pdf
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.307.7287 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.307.7287
http___dx.doi.org_10.1007_s10710-006-7009-y http://dx.doi.org/10.1007/s10710-006-7009-y
Tsoulos:2006:CPC GenAnneal: Genetically modified Simulated Annealing
IoannisGTsoulos.html
IsaacELagaris.html
http___dx.doi.org_10.1016_j.cpc.2005.12.011 http://dx.doi.org/10.1016/j.cpc.2005.12.011
Tsoulos2007976 GDF v2.0, an enhanced version of GDF
IoannisGTsoulos.html
DimitrisGavrilis.html
EvangelosDermatas.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.541.2453 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.541.2453
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http___dx.doi.org_10.1016_j.cpc.2007.08.008 http://dx.doi.org/10.1016/j.cpc.2007.08.008
Tsoulos2008269 Neural network construction and training using grammatical evolution
IoannisGTsoulos.html
DimitrisGavrilis.html
EuripidisGlavas.html
http___dx.doi.org_10.1016_j.neucom.2008.01.017 http://dx.doi.org/10.1016/j.neucom.2008.01.017
http___www.sciencedirect.com_science_article_B6V10-4S1C894-3_2_9beaf5f426239399e63b31456dcbc52a http://www.sciencedirect.com/science/article/B6V10-4S1C894-3/2/9beaf5f426239399e63b31456dcbc52a
Tsoulos2008843 GenMin: An enhanced genetic algorithm for global optimization
IoannisGTsoulos.html
IsaacELagaris.html
http___dx.doi.org_10.1016_j.cpc.2008.01.040 http://dx.doi.org/10.1016/j.cpc.2008.01.040
http___www.sciencedirect.com_science_article_B6TJ5-4RR8YW1-2_2_9b76a8b289abccf9ec864e11a54573a7 http://www.sciencedirect.com/science/article/B6TJ5-4RR8YW1-2/2/9b76a8b289abccf9ec864e11a54573a7
Tsoulos20092385 Solving differential equations with constructed neural networks
IoannisGTsoulos.html
DimitrisGavrilis.html
EuripidisGlavas.html
http___dx.doi.org_10.1016_j.neucom.2008.12.004 http://dx.doi.org/10.1016/j.neucom.2008.12.004
http___www.sciencedirect.com_science_article_B6V10-4V9S3C3-3_2_73dafb81780ffc228f23d8bbaf911aa3 http://www.sciencedirect.com/science/article/B6V10-4V9S3C3-3/2/73dafb81780ffc228f23d8bbaf911aa3
Tsoulos:2019:EJERS Genetic Feature Construction Genetic Feature Construction: a parallel implementation of a genetic programming tool for feature construction
IoannisGTsoulos.html
AlexandrosTTzallas.html
DimitriosTsalikakis.html
https___www.ejers.org_index.php_ejers_article_view_1272 https://www.ejers.org/index.php/ejers/article/view/1272
http___dx.doi.org_10.24018_ejers.2019.4.5.1272 http://dx.doi.org/10.24018/ejers.2019.4.5.1272
https___github.com_itsoulos_FeatureConstruction https://github.com/itsoulos/FeatureConstruction
TSOULOS:2019:SoftwareX NNC: A tool based on Grammatical Evolution for data classification and differential equation solving
IoannisGTsoulos.html
AlexandrosTTzallas.html
DimitrisTsalikakis.html
http___dx.doi.org_10.1016_j.softx.2019.100297 http://dx.doi.org/10.1016/j.softx.2019.100297
http___www.sciencedirect.com_science_article_pii_S2352711019301128 http://www.sciencedirect.com/science/article/pii/S2352711019301128
Tsoulos:IJCIS Creating classification rules using Grammatical Evolution
IoannisGTsoulos.html
https___www.inderscience.com_info_inarticle.php_artid_106477 https://www.inderscience.com/info/inarticle.php?artid=106477
http___dx.doi.org_10.1504_IJCISTUDIES.2020.106477 http://dx.doi.org/10.1504/IJCISTUDIES.2020.106477
Tsoulos:2022:Algorithms QFC: A Parallel Software Tool for Feature Construction, Based on Grammatical Evolution
IoannisGTsoulos.html
https___www.mdpi.com_1999-4893_15_8_295 https://www.mdpi.com/1999-4893/15/8/295
http___dx.doi.org_10.3390_a15080295 http://dx.doi.org/10.3390/a15080295
Tsujimura:2012:FedCSIS Laser trail shape identification technique for robot navigation based on genetic programming
TakeshiTsujimura.html
HirokiFukushima.html
YoshihiroMinato.html
KiyotakaIzumi.html
http___ieeexplore.ieee.org_xpl_articleDetails.jsp_tp__arnumber_6354313 http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6354313
Tsujimura:2014:AE Genetic reasoning for finger sign identification based on forearm electromyogram
TakeshiTsujimura.html
TakahiroHashimoto.html
KiyotakaIzumi.html
http___dx.doi.org_10.1109_AE.2014.7011724 http://dx.doi.org/10.1109/AE.2014.7011724
Tsujimura:2015:ICIEV Hand sign classification techniques based on forearm electromyogram signals
TakeshiTsujimura.html
KosukeUrata.html
KiyotakaIzumi.html
http___dx.doi.org_10.1109_ICIEV.2015.7334031 http://dx.doi.org/10.1109/ICIEV.2015.7334031
Tsukada:2010:ijcnn Unsupervised and adaptive category classification for a vision-based mobile robot
MasahiroTsukada.html
HirokazuMadokoro.html
KazuhitoSato.html
http___dx.doi.org_10.1109_IJCNN.2010.5596323 http://dx.doi.org/10.1109/IJCNN.2010.5596323
Tsunoda:2009:ISDA MAHATMA: A Genetic Programming-Based Tool for Protein Classification
DeniseFukumiTsunoda.html
AlexAlvesFreitas.html
HeitorSilverioLopes.html
http___dx.doi.org_10.1109_ISDA.2009.14 http://dx.doi.org/10.1109/ISDA.2009.14
journals/soco/TsunodaFL11 A genetic programming method for protein motif discovery and protein classification
DeniseFukumiTsunoda.html
AlexAlvesFreitas.html
HeitorSilverioLopes.html
http___dx.doi.org_10.1007_s00500-010-0624-9 http://dx.doi.org/10.1007/s00500-010-0624-9
Tsutiya:2016:SICE Fingerspelling translation based on forearm electoromyogram
DaisukeTsutiya.html
TakeshiTsujimura.html
KiyotakaIzumi.html
http___dx.doi.org_10.1109_SICE.2016.7749228 http://dx.doi.org/10.1109/SICE.2016.7749228
Tsuzuki:2006:ieeeCDC Searching for control Lyapunov-Morse functions using genetic programming for global asymptotic stabilization of nonlinear systems
TTsuzuki.html
KKuwada.html
YYamashita.html
http___dx.doi.org_10.1109_CDC.2006.377681 http://dx.doi.org/10.1109/CDC.2006.377681
Tu:2020:CEC Learning Regular Expressions for Interpretable Medical Text Classification Using a Pool-based Simulated Annealing Approach
ChaofanTu.html
MenglinCui.html
http___dx.doi.org_10.1109_CEC48606.2020.9185650 http://dx.doi.org/10.1109/CEC48606.2020.9185650
Tucker:thesis The automatic explanation of Multivariate Time Series with large time lags
AllanTucker.html
https___www.dcs.bbk.ac.uk_site_assets_files_1025_tucker.pdf https://www.dcs.bbk.ac.uk/site/assets/files/1025/tucker.pdf
http___ethos.bl.uk_OrderDetails.do_uin_uk.bl.ethos.246924 http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.246924
Tufail:2005:WWERC Optimal Load Allocations by Linkage of Evolutionary Optimization Algorithms with Inductive Models of Watershed Response
MohammadTufail.html
LindellOrmsbee.html
http___dx.doi.org_10.1061_40792_173_349 http://dx.doi.org/10.1061/40792(173)349
Tufail:2006:JH A fixed functional set genetic algorithm (FFSGA) approach for function approximation
MohammadTufail.html
LindellOrmsbee.html
http___www.iwaponline.com_jh_008_0193_0080193.pdf http://www.iwaponline.com/jh/008/0193/0080193.pdf
http___dx.doi.org_10.2166_hydro.2006.021 http://dx.doi.org/10.2166/hydro.2006.021
Tufail:thesis Optimal Water Quality Management Strategies for urban Watersheds using Macro-level Simulation models linked with Evolutionary algorithms
MohammadTufail.html
http___uknowledge.uky.edu_cgi_viewcontent.cgi_article_1316_context_gradschool_diss http://uknowledge.uky.edu/cgi/viewcontent.cgi?article=1316&context=gradschool_diss
http___uknowledge.uky.edu_gradschool_diss_313 http://uknowledge.uky.edu/gradschool_diss/313
tufts93 Parallel Case Evaluation for Genetic Programming
PatrickTufts.html
http___www.barnesandnoble.com_w_1993-lectures-in-complex-systems-lynn-nadel_1000235256 http://www.barnesandnoble.com/w/1993-lectures-in-complex-systems-lynn-nadel/1000235256
tufts:1995:dcGPcs Dynamic Classifiers: Genetic Programming and Classifier Systems
PatrickTufts.html
http___www.aaai.org_Papers_Symposia_Fall_1995_FS-95-01_FS95-01-016.pdf http://www.aaai.org/Papers/Symposia/Fall/1995/FS-95-01/FS95-01-016.pdf
http___www.aaai.org_Library_Symposia_Fall_fs95-01.php http://www.aaai.org/Library/Symposia/Fall/fs95-01.php
tufts:1996:aigp2 Genetic Programming Resources on the World-Wide Web
PatrickTufts.html
http___ieeexplore.ieee.org_xpl_articleDetails.jsp_tp__arnumber_6277541 http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6277541
http___dx.doi.org_10.7551_mitpress_1109.003.0032 http://dx.doi.org/10.7551/mitpress/1109.003.0032
tuite:evoapps11 A Preliminary Investigation of Overfitting in Evolutionary Driven Model Induction: Implications for Financial Modelling
CliodhnaTuite.html
AlexandrosAgapitos.html
MichaelO'Neill.html
AnthonyBrabazon.html
http___dx.doi.org_10.1007_978-3-642-20520-0_13 http://dx.doi.org/10.1007/978-3-642-20520-0_13
Tuite:2011:GECCOcomp Early stopping criteria to counteract overfitting in genetic programming
CliodhnaTuite.html
AlexandrosAgapitos.html
MichaelO'Neill.html
AnthonyBrabazon.html
http___dx.doi.org_10.1145_2001858.2001971 http://dx.doi.org/10.1145/2001858.2001971
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.1023.6399 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.1023.6399
http___researchrepository.ucd.ie_bitstream_handle_10197_3538_Early_Stopping_Criteria_to_Counteract_Overfitting_in_Genetic_Programming.pdf http://researchrepository.ucd.ie/bitstream/handle/10197/3538/Early_Stopping_Criteria_to_Counteract_Overfitting_in_Genetic_Programming.pdf
Tuite:NCFE:2011 Tackling Overfitting in Evolutionary-driven Financial Model Induction
CliodhnaTuite.html
AlexandrosAgapitos.html
MichaelO'Neill.html
AnthonyBrabazon.html
http___www.springer.com_engineering_computational_intelligence_and_complexity_book_978-3-642-23335-7 http://www.springer.com/engineering/computational+intelligence+and+complexity/book/978-3-642-23335-7
Tuite:2013:GECCOcomp Towards a dynamic benchmark for genetic programming
CliodhnaTuite.html
MichaelO'Neill.html
AnthonyBrabazon.html
http___dx.doi.org_10.1145_2464576.2464649 http://dx.doi.org/10.1145/2464576.2464649
tuite:mendel:2014 The Relationship between Semantic Distance and Performance in Dynamic Symbolic Regression Problems
CliodhnaTuite.html
MichaelO'Neill.html
AnthonyBrabazon.html
http___ncra.ucd.ie_papers_mendel2014_tuite.pdf http://ncra.ucd.ie/papers/mendel2014_tuite.pdf
Tuite:2018:ohCEF Economic and Financial Modeling with Genetic Programming - A Review
CliodhnaTuite.html
MichaelO'Neill.html
AnthonyBrabazon.html
https___global.oup.com_academic_product_the-oxford-handbook-of-computational-economics-and-finance-9780199844371 https://global.oup.com/academic/product/the-oxford-handbook-of-computational-economics-and-finance-9780199844371
http___dx.doi.org_10.1093_oxfordhb_9780199844371.013.10 http://dx.doi.org/10.1093/oxfordhb/9780199844371.013.10
Tung20091062 Application of genetic programming to project climate change impacts on the population of Formosan Landlocked Salmon
Ching-PinTung.html
Tsung-YuLee.html
Yi-ChenEYang.html
Yun-JuChen.html
http___dx.doi.org_10.1016_j.envsoft.2009.02.012 http://dx.doi.org/10.1016/j.envsoft.2009.02.012
ETasoft96 On Genetic Programming of Fuzzy Rule-Based Systems for Intelligent Control
EdwardWTunstel.html
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http___www-robotics.jpl.nasa.gov_people_Edward_Tunstel_GP_Fuzzy96.ps http://www-robotics.jpl.nasa.gov/people/Edward_Tunstel/GP_Fuzzy96.ps
http___citeseer.ist.psu.edu_77465.html http://citeseer.ist.psu.edu/77465.html
ETissci96 Genetic Programming of Fuzzy Coordination Behaviors for Mobile Robots
EdwardWTunstel.html
TanyaLippincott.html
http___www-robotics.jpl.nasa.gov_people_Edward_Tunstel_issci96.ps http://www-robotics.jpl.nasa.gov/people/Edward_Tunstel/issci96.ps
http___citeseer.ist.psu.edu_tunstel96genetic.html http://citeseer.ist.psu.edu/tunstel96genetic.html
ETasoft97 Behavior Hierarchy for Autonomous Mobile Robots: Fuzzy-behavior modulation and evolution
EdwardWTunstel.html
TanyaLippincott.html
MohammadJamshidi.html
http___www-robotics.jpl.nasa.gov_people_Edward_Tunstel_acesi.ps http://www-robotics.jpl.nasa.gov/people/Edward_Tunstel/acesi.ps
tunstel:thesis Adaptive Hierarchy of Distributed Fuzzy Control: Application to Behavior Control of Rovers
EdwardWTunstel.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_TunstelPhD.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/TunstelPhD.pdf
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_TunstelPhD.ps.gz http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/TunstelPhD.ps.gz
Tunstel:1999:isairas Evolution of Autonomous Self-Righting Behaviors for Articulated Nanorovers
EdwardWTunstel.html
http___trs-new.jpl.nasa.gov_dspace_bitstream_2014_17585_1_99-1007.pdf http://trs-new.jpl.nasa.gov/dspace/bitstream/2014/17585/1/99-1007.pdf
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.138.4187 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.138.4187
http___articles.adsabs.harvard.edu__full_1999ESASP.440..341T_0000341.000.html http://articles.adsabs.harvard.edu//full/1999ESASP.440..341T/0000341.000.html
http___citeseer.ist.psu.edu_378858.html http://citeseer.ist.psu.edu/378858.html
tunstel:2001:fsceabh Fuzzy-Behavior Synthesis, Coordination, and Evolution in an Adaptive Behavior Hierarchy
EdwardWTunstel.html
http___www.springer.com_engineering_production_engineering_book_978-3-7908-1341-8 http://www.springer.com/engineering/production+engineering/book/978-3-7908-1341-8
turing48:_intel Intelligent machinery
AlanMTuring.html
https___www.npl.co.uk_getattachment_about-us_History_Famous-faces_Alan-Turing_80916595-Intelligent-Machinery.pdf https://www.npl.co.uk/getattachment/about-us/History/Famous-faces/Alan-Turing/80916595-Intelligent-Machinery.pdf
oai:cogprints.soton.ac.uk:499 Computing Machinery and Intelligence
AlanMTuring.html
http___www.cs.umbc.edu_471_papers_turing.pdf http://www.cs.umbc.edu/471/papers/turing.pdf
http___cogprints.org_499_ http://cogprints.org/499/
http___dx.doi.org_10.1093_mind_LIX.236.433 http://dx.doi.org/10.1093/mind/LIX.236.433
TuringAM:maci69 Intelligent Machinery
AlanMTuring.html
https___hashingit.com_elements_research-resources_1948-intelligent-machinery.pdf https://hashingit.com/elements/research-resources/1948-intelligent-machinery.pdf
Turk:2008:SHMD Genetic Programming and CAE Neural Networks approach for Prediction of the Bending Capability of ZnTiCu Sheets
RadomirTurk.html
GoranKugler.html
MilanTercelj.html
IztokPerus.html
MihaKovacic.html
http___public.carnet.hr_metalurg_Metalurgija_2008_vol_47_No_3_MET_47_3.pdf http://public.carnet.hr/metalurg/Metalurgija/2008_vol_47/No_3/MET_47_3.pdf
Turk:2008:M Genetic Programming and CAE Neural Networks approach for Prediction of the Bending Capability of ZnTiCu Sheets
RadomirTurk.html
IztokPerus.html
MihaKovacic.html
GoranKugler.html
MilanTercelj.html
http___hrcak.srce.hr_file_41131 http://hrcak.srce.hr/file/41131
http___public.carnet.hr_metalurg_Metalurgija_2008_vol_47_No_4_MET_47_4_301_305_Turk.pdf http://public.carnet.hr/metalurg/Metalurgija/2008_vol_47/No_4/MET_47_4_301_305_Turk.pdf
TurkyAyad2019Bhaf Bi-level hyper-heuristic approaches for combinatorial optimisation problems
AyadMashaanTurky.html
https___researchrepository.rmit.edu.au_esploro_outputs_doctoral_Bi-level-hyper-heuristic-approaches-for-combinatorial-optimisation_9921863817701341_institution_61RMIT_INST https://researchrepository.rmit.edu.au/esploro/outputs/doctoral/Bi-level-hyper-heuristic-approaches-for-combinatorial-optimisation/9921863817701341?institution=61RMIT_INST
turner2013incorporation The incorporation of epigenetics in artificial gene regulatory networks
AlexanderPTurner.html
MichaelALones.html
LuisAFuente.html
SusanStepney.html
LeoCaves.html
AndrewMTyrrell.html
http___www.sciencedirect.com_science_article_pii_S0303264713000579 http://www.sciencedirect.com/science/article/pii/S0303264713000579
http___dx.doi.org_10.1016_j.biosystems.2013.03.013 http://dx.doi.org/10.1016/j.biosystems.2013.03.013
turner2015evolving Evolving Efficient Solutions to Complex Problems Using the Artificial Epigenetic Network
AlexanderPTurner.html
MartinATrefzer.html
MichaelALones.html
AndrewMTyrrell.html
http___dx.doi.org_10.1007_978-3-319-23108-2_13 http://dx.doi.org/10.1007/978-3-319-23108-2_13
Turner:2013:GECCO Cartesian genetic programming encoded artificial neural networks: a comparison using three benchmarks
AndrewJamesTurner.html
JulianFMiller.html
http___dx.doi.org_10.1145_2463372.2463484 http://dx.doi.org/10.1145/2463372.2463484
Turner2013a The Importance of Topology Evolution in NeuroEvolution: A Case Study Using Cartesian Genetic Programming of Artificial Neural Networks
AndrewJamesTurner.html
JulianFMiller.html
http___dx.doi.org_10.1007_978-3-319-02621-3_15 http://dx.doi.org/10.1007/978-3-319-02621-3_15
http___dx.doi.org_10.1007_978-3-319-02621-3_15 http://dx.doi.org/10.1007/978-3-319-02621-3_15
turner:2014:EuroGP Cartesian Genetic Programming: Why No Bloat?
AndrewJamesTurner.html
JulianFMiller.html
http___www.andrewjamesturner.co.uk_files_EuroGP2014.pdf http://www.andrewjamesturner.co.uk/files/EuroGP2014.pdf
http___dx.doi.org_10.1007_978-3-662-44303-3_19 http://dx.doi.org/10.1007/978-3-662-44303-3_19
Turner:2014:PPSN Recurrent Cartesian Genetic Programming
AndrewJamesTurner.html
JulianFMiller.html
http___dx.doi.org_10.1007_978-3-319-10762-2_47 http://dx.doi.org/10.1007/978-3-319-10762-2_47
Turner2014f NeuroEvolution: Evolving Heterogeneous Artificial Neural Networks
AndrewJamesTurner.html
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http___dx.doi.org_10.1007_s12065-014-0115-5 http://dx.doi.org/10.1007/s12065-014-0115-5
http___dx.doi.org_10.1007_s12065-014-0115-5 http://dx.doi.org/10.1007/s12065-014-0115-5
Turner:2015:GPEM Introducing a cross platform open source Cartesian Genetic Programming library
AndrewJamesTurner.html
JulianFMiller.html
http___dx.doi.org_10.1007_s10710-014-9233-1 http://dx.doi.org/10.1007/s10710-014-9233-1
http___dx.doi.org_10.1007_s10710-014-9233-1 http://dx.doi.org/10.1007/s10710-014-9233-1
Turner:2015:GECCOcomp Recurrent Cartesian Genetic Programming Applied to Series Forecasting
AndrewJamesTurner.html
JulianFMiller.html
http___doi.acm.org_10.1145_2739482.2764647 http://doi.acm.org/10.1145/2739482.2764647
http___dx.doi.org_10.1145_2739482.2764647 http://dx.doi.org/10.1145/2739482.2764647
Turner:thesis Evolving Artificial Neural Networks using Cartesian Genetic Programming
AndrewJamesTurner.html
http___etheses.whiterose.ac.uk_12035_1_thesis.pdf http://etheses.whiterose.ac.uk/12035/1/thesis.pdf
http___etheses.whiterose.ac.uk_12035_ http://etheses.whiterose.ac.uk/12035/
Turner:2015:GPEMa Neutral genetic drift: an investigation using Cartesian Genetic Programming
AndrewJamesTurner.html
JulianFMiller.html
http___dx.doi.org_10.1007_s10710-015-9244-6 http://dx.doi.org/10.1007/s10710-015-9244-6
Turner:2016:GPEM Recurrent Cartesian Genetic Programming of Artificial Neural Networks
AndrewJamesTurner.html
JulianFMiller.html
http___dx.doi.org_10.1007_s10710-016-9276-6 http://dx.doi.org/10.1007/s10710-016-9276-6
Turner:2008:gecco A genetic programming approach to business process mining
ChristopherJamesTurner.html
AshutoshTiwari.html
JornMehnen.html
http___gpbib.cs.ucl.ac.uk_gecco2008_docs_p1307.pdf http://gpbib.cs.ucl.ac.uk/gecco2008/docs/p1307.pdf
http___dx.doi.org_10.1145_1389095.1389345 http://dx.doi.org/10.1145/1389095.1389345
Christopher_Turner_thesis_2009 A genetic programming based business process mining approach
ChristopherJamesTurner.html
https___dspace.lib.cranfield.ac.uk_bitstream_1826_4471_1_Christopher_Turner_thesis_2009.pdf https://dspace.lib.cranfield.ac.uk/bitstream/1826/4471/1/Christopher_Turner_thesis_2009.pdf
http___hdl.handle.net_1826_4471 http://hdl.handle.net/1826/4471
http___ethos.bl.uk_OrderDetails.do_did_27_uin_uk.bl.ethos.515106 http://ethos.bl.uk/OrderDetails.do?did=27&uin=uk.bl.ethos.515106
turner:2009:evobio Conquering the Needle-in-a-Haystack: How Correlated Input Variables Beneficially Alter the Fitness Landscape for Neural Networks
StephenDTurner.html
MarylynDRitchie.html
WilliamSBush.html
http___dx.doi.org_10.1007_978-3-642-01184-9_8 http://dx.doi.org/10.1007/978-3-642-01184-9_8
conf/evoW/TurnerDR10 Grammatical Evolution of Neural Networks for Discovering Epistasis among Quantitative Trait Loci
StephenDTurner.html
ScottMDudek.html
MarylynDRitchie.html
http___dx.doi.org_10.1007_978-3-642-12211-8 http://dx.doi.org/10.1007/978-3-642-12211-8
Turner-Baggs:evoapps13 On GPU Based Fitness Evaluation with Decoupled Training Partition Cardinality
JazzAlyxzanderTurner-Baggs.html
MalcolmHeywood.html
http___dx.doi.org_10.1007_978-3-642-37192-9_49 http://dx.doi.org/10.1007/978-3-642-37192-9_49
turton:1996:geog Some Geographic Applications of Genetic Programming on the Cray T3D Supercomputer
IanTurton.html
StanleyOpenshaw.html
GaryDiplock.html
http___www.geog.leeds.ac.uk_papers_96-5_96-5.pdf http://www.geog.leeds.ac.uk/papers/96-5/96-5.pdf
http___citeseer.ist.psu.edu_turton96some.html http://citeseer.ist.psu.edu/turton96some.html
http___dx.doi.org_10.1007_978-1-4471-1504-5_10 http://dx.doi.org/10.1007/978-1-4471-1504-5_10
turton:1998:summary High Performance Computing and Geography: developments, issues and case studies
IanTurton.html
StanleyOpenshaw.html
Turton:1998:EPA High-performance computing and geography: developments, issues, and case studies
IanTurton.html
StanleyOpenshaw.html
http___www.envplan.com_abstract.cgi_id_a301839 http://www.envplan.com/abstract.cgi?id=a301839
http___dx.doi.org_10.1068_a301839 http://dx.doi.org/10.1068/a301839
GILP1997Tveit Genetic Inductive Logic Programming
AmundTveit.html
Tyler:2009:cec Development and Evaluation of an Open-Ended Computational Evolution System for the Creation of Digital Organisms with Complex Genetic Architecture
AnnaLTyler.html
BillCWhite.html
CaseySGreene.html
PeterCAndrews.html
RichardCowper-Sal-lari.html
JasonHMoore.html
http___dx.doi.org_10.1109_CEC.2009.4983308 http://dx.doi.org/10.1109/CEC.2009.4983308
Tyrrell:2015:EHPA Representations and Algorithms
AndrewMTyrrell.html
MartinATrefzer.html
http___dx.doi.org_10.1007_978-3-662-44616-4_3 http://dx.doi.org/10.1007/978-3-662-44616-4_3
Tzallas:2016:TELFOR Classification of EEG signals using feature creation produced by grammatical evolution
AlexandrosTTzallas.html
IoannisGTsoulos.html
MarkosGTsipouras.html
NikolaosGiannakeas.html
IosifAndroulidakis.html
ElenaZaitseva.html
http___dx.doi.org_10.1109_TELFOR.2016.7818809 http://dx.doi.org/10.1109/TELFOR.2016.7818809
Tzimourta:2018:I Direct Assessment of Alcohol Consumption in Mental State Using Brain Computer Interfaces and Grammatical Evolution
KaterinaDTzimourta.html
IoannisGTsoulos.html
ThanasisBilero.html
AlexandrosTTzallas.html
MarkosGTsipouras.html
NikolaosGiannakeas.html
http___www.mdpi.com_2411-5134_3_3_51 http://www.mdpi.com/2411-5134/3/3/51
http___dx.doi.org_10.3390_inventions3030051 http://dx.doi.org/10.3390/inventions3030051
Uchibe98f Cooperative Behavior Acquisition in a Multiple Mobile Robot Environment by Co-evolution
EijiUchibe.html
MasateruNakamura.html
MinoruAsada.html
http___dx.doi.org_10.1007_3-540-48422-1_22 http://dx.doi.org/10.1007/3-540-48422-1_22
http___www.er.ams.eng.osaka-u.ac.jp_Paper_1998_Uchibe98f.pdf http://www.er.ams.eng.osaka-u.ac.jp/Paper/1998/Uchibe98f.pdf
Uchibe:thesis Cooperative Behavior Acquisition by Learning and Evolution in a Multi-Agent Environment for Mobile Robots
EijiUchibe.html
http___www.irp.oist.jp_nc_uchibe_paper_phd.pdf http://www.irp.oist.jp/nc/uchibe/paper/phd.pdf
uchibe:1999:CCBAMRC Cooperative and Competitive Behavior Acquisition for Mobile Robots through Co-evolution
EijiUchibe.html
MasateruNakamura.html
MinoruAsada.html
http___gpbib.cs.ucl.ac.uk_gecco1999_AA-033.pdf http://gpbib.cs.ucl.ac.uk/gecco1999/AA-033.pdf
http___gpbib.cs.ucl.ac.uk_gecco1999_AA-033.ps http://gpbib.cs.ucl.ac.uk/gecco1999/AA-033.ps
Uchibe:2000:IAS Behavior Generation for a Mobile Robot Based on the Adaptive Fitness Function
EijiUchibe.html
MasakazuYanase.html
MinoruAsada.html
http___www.er.ams.eng.osaka-u.ac.jp_Paper_2000_Uchibe00a.pdf http://www.er.ams.eng.osaka-u.ac.jp/Paper/2000/Uchibe00a.pdf
Uchibe:2002:RAS Behavior generation for a mobile robot based on the adaptive fitness function
EijiUchibe.html
MasakazuYanase.html
MinoruAsada.html
http___www.sciencedirect.com_science_article_B6V16-460M7KP-1_2_e4f9df58e7ab6e0403221cb825b818f4 http://www.sciencedirect.com/science/article/B6V16-460M7KP-1/2/e4f9df58e7ab6e0403221cb825b818f4
http___dx.doi.org_10.1016_S0921-8890_02_00232-4 http://dx.doi.org/10.1016/S0921-8890(02)00232-4
Udrescu:2020:SciAdv AI Feynman: A physics-inspired method for symbolic regression
Silviu-MarianUdrescu.html
MaxTegmark.html
https___advances.sciencemag.org_content_advances_6_16_eaay2631.full.pdf https://advances.sciencemag.org/content/advances/6/16/eaay2631.full.pdf
https___pubmed.ncbi.nlm.nih.gov_32426452_ https://pubmed.ncbi.nlm.nih.gov/32426452/
http___dx.doi.org_10.1126_sciadv.aay2631 http://dx.doi.org/10.1126/sciadv.aay2631
https___github.com_SJ001_AI-Feynman https://github.com/SJ001/AI-Feynman
Uesaka:1999:ISCAS Synthesis of low coefficient sensitivity digital filters using genetic programming
KazuyoshiUesaka.html
MasayukiKawamata.html
http___www.mk.ecei.tohoku.ac.jp_papers_data_Uesaka-ITC-CSCC-1998.pdf http://www.mk.ecei.tohoku.ac.jp/papers/data/Uesaka-ITC-CSCC-1998.pdf
http___citeseer.ist.psu.edu_263691.html http://citeseer.ist.psu.edu/263691.html
Uesaka:2000:ISCAS Synthesis of low-sensitivity second-order digital filter using genetic programming with automatically defined functions
KazuyoshiUesaka.html
MasayukiKawamata.html
http___dx.doi.org_10.1109_ISCAS.2000.857104 http://dx.doi.org/10.1109/ISCAS.2000.857104
uesaka:2000:sl2df Synthesis of low-sensitivity second-order digital filters using genetic programming with automatically defined functions
KazuyoshiUesaka.html
MasayukiKawamata.html
http___ieeexplore.ieee.org_iel5_97_18028_00833004.pdf http://ieeexplore.ieee.org/iel5/97/18028/00833004.pdf
Uesaka:2001:CDS Heuristic synthesis of low coefficient sensitivity second-order digital filters using genetic programming
KazuyoshiUesaka.html
MasayukiKawamata.html
http___dx.doi.org_10.1049_ip-cds_20010342 http://dx.doi.org/10.1049/ip-cds:20010342
Uesaka:2003:CS Evolutionary synthesis of digital filter structures using genetic programming
KazuyoshiUesaka.html
MasayukiKawamata.html
http___dx.doi.org_10.1109_TCSII.2003.820240 http://dx.doi.org/10.1109/TCSII.2003.820240
Ukita:2015:ICEMS Investigation of shape filter for electromagnetic device by structural optimization with GP
KosukeUkita.html
KotaIshikawa.html
WataruKitagawa.html
TakaharuTakeshita.html
http___ieeexplore.ieee.org_xpl_articleDetails.jsp_arnumber_7385235 http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7385235
http___dx.doi.org_10.1109_ICEMS.2015.7385235 http://dx.doi.org/10.1109/ICEMS.2015.7385235
ain:2017:CEC Genetic programming for skin cancer detection in dermoscopic images
QurratUlAin.html
BingXue.html
HarithAl-Sahaf.html
MengjieZhang.html
http___dx.doi.org_10.1109_CEC.2017.7969598 http://dx.doi.org/10.1109/CEC.2017.7969598
Ain:2018:PRICAI Genetic Programming for Feature Selection and Feature Construction in Skin Cancer Image Classification
QurratUlAin.html
BingXue.html
HarithAl-Sahaf.html
MengjieZhang.html
http___dx.doi.org_10.1007_978-3-319-97304-3_56 http://dx.doi.org/10.1007/978-3-319-97304-3_56
Ain:2018:AJCAI A Multi-tree Genetic Programming Representation for Melanoma Detection Using Local and Global Features
QurratUlAin.html
HarithAl-Sahaf.html
BingXue.html
MengjieZhang.html
https___link.springer.com_chapter_10.1007_2F978-3-030-03991-2_12 https://link.springer.com/chapter/10.1007%2F978-3-030-03991-2_12
http___dx.doi.org_10.1007_978-3-030-03991-2_12 http://dx.doi.org/10.1007/978-3-030-03991-2_12
ulain:2019:CEC Multi-tree Genetic Programming with A New Fitness Function for Melanoma Detection
QurratUlAin.html
BingXue.html
HarithAl-Sahaf.html
MengjieZhang.html
http___dx.doi.org_10.1109_CEC.2019.8790282 http://dx.doi.org/10.1109/CEC.2019.8790282
UlAin:2019:IVCNZ Genetic Programming for Multiple Feature Construction in Skin Cancer Image Classification
QurratUlAin.html
BingXue.html
HarithAl-Sahaf.html
MengjieZhang.html
http___dx.doi.org_10.1109_IVCNZ48456.2019.8961001 http://dx.doi.org/10.1109/IVCNZ48456.2019.8961001
Ain:2020:GECCO A Genetic Programming Approach to Feature Construction for Ensemble Learning in Skin Cancer Detection
QurratUlAin.html
HarithAl-Sahaf.html
BingXue.html
MengjieZhang.html
https___doi.org_10.1145_3377930.3390228 https://doi.org/10.1145/3377930.3390228
http___dx.doi.org_10.1145_3377930.3390228 http://dx.doi.org/10.1145/3377930.3390228
UlAin:ieeeETCI Generating Knowledge-Guided Discriminative Features Using Genetic Programming for Melanoma Detection
QurratUlAin.html
HarithAl-Sahaf.html
BingXue.html
MengjieZhang.html
http___dx.doi.org_10.1109_TETCI.2020.2983426 http://dx.doi.org/10.1109/TETCI.2020.2983426
UlAin:thesis Genetic Programming based Feature Manipulation for Skin Cancer Image Classification
QurratUlAin.html
http___researcharchive.vuw.ac.nz_handle_10063_9392 http://researcharchive.vuw.ac.nz/handle/10063/9392
http___researcharchive.vuw.ac.nz_bitstream_handle_10063_9392_thesis_access.pdf http://researcharchive.vuw.ac.nz/bitstream/handle/10063/9392/thesis_access.pdf
Ullah:2011:ICARA American Sign Language recognition system for hearing impaired people using Cartesian Genetic Programming
FahadUllah.html
http___dx.doi.org_10.1109_ICARA.2011.6144863 http://dx.doi.org/10.1109/ICARA.2011.6144863
Ullah:2012:ISCI Exploiting developmental plasticity in Cartesian Genetic Programming
FahadUllah.html
GulMuhammadKhan.html
SahibzadaAliMahmud.html
http___dx.doi.org_10.1109_ISCI.2012.6222690 http://dx.doi.org/10.1109/ISCI.2012.6222690
Ullah:2012:HPCC-ICESS Intelligent Bandwidth Management Using Fast Learning Neural Networks
FahadUllah.html
GulMuhammadKhan.html
SahibzadaAliMahmud.html
http___ieeexplore.ieee.org_xpl_articleDetails.jsp_tp__arnumber_6332261 http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6332261
http___dx.doi.org_10.1109_HPCC.2012.123 http://dx.doi.org/10.1109/HPCC.2012.123
Ullah:2020:ACC Cloud Infrastructure Estimation and Auto-Scaling Using Recurrent Cartesian Genetic Programming-Based ANN
QaziZiaUllah.html
GulMuhammadKhan.html
ShahzadHassan.html
http___dx.doi.org_10.1109_ACCESS.2020.2966678 http://dx.doi.org/10.1109/ACCESS.2020.2966678
ullah:2021:Electronics A Cartesian Genetic Programming Based Parallel Neuroevolutionary Model for Cloud Server's CPU Usage Prediction
QaziZiaUllah.html
GulMuhammadKhan.html
ShahzadHassan.html
AsifIqbal.html
FarmanUllah.html
KyungSupKwak.html
https___www.mdpi.com_2079-9292_10_1_67 https://www.mdpi.com/2079-9292/10/1/67
http___dx.doi.org_10.3390_electronics10010067 http://dx.doi.org/10.3390/electronics10010067
Ulloa-Cazarez:2018:AAI Prediction of Online Students Performance by Means of Genetic Programming
RosaLeonorUlloa-Cazarez.html
CuauhtemocLopez-Martin.html
AlainAbran.html
CornelioYanez-Marquez.html
http___dx.doi.org_10.1080_08839514.2018.1508839 http://dx.doi.org/10.1080/08839514.2018.1508839
Ulloa-Cazarez:GPEM Joseph E. Aoun: Robot-proof: higher education at the age of artificial intelligence
RosaLeonorUlloa-Cazarez.html
https___link.springer.com_article_10.1007_s10710-019-09365-1 https://link.springer.com/article/10.1007/s10710-019-09365-1
http___dx.doi.org_10.1007_s10710-019-09365-1 http://dx.doi.org/10.1007/s10710-019-09365-1
journals/jam/UmarSSP20 Predicting the Viscosity of Petroleum Emulsions Using Gene Expression Programming (GEP) and Response Surface Methodology (RSM)
AbubakarAUmar.html
IsmailMSaaid.html
AliyuASulaimon.html
RashidahMPilus.html
http___dx.doi.org_10.1155_2020_6215352 http://dx.doi.org/10.1155/2020/6215352
Umeda:2018:GCCE Lethal Genes Aware Genetic Programming Analysis for RO PUF
TaichiUmeda.html
KazuyaShibagaki.html
YusukeNozaki.html
MasayaYoshikawa.html
http___dx.doi.org_10.1109_GCCE.2018.8574699 http://dx.doi.org/10.1109/GCCE.2018.8574699
Umeda:2018:ICCIA Dynamic Adaptive Mutation Based Genetic Programming for Ring Oscillator PUF
TaichiUmeda.html
YusukeNozaki.html
MasayaYoshikawa.html
http___dx.doi.org_10.1109_ICCIA.2018.00047 http://dx.doi.org/10.1109/ICCIA.2018.00047
umer:2022:Materials Tool Wear Prediction When Machining with Self-Propelled Rotary Tools
UsamaUmer.html
SyedHammadMian.html
MuneerKhanMohammed.html
MustufaHaiderAbidi.html
KhajaMoiduddin.html
HossamAKishawy.html
https___www.mdpi.com_1996-1944_15_12_4059 https://www.mdpi.com/1996-1944/15/12/4059
http___dx.doi.org_10.3390_ma15124059 http://dx.doi.org/10.3390/ma15124059
Unachak:2021:JCSSE Evolving Compact Prediction Model for PM2.5 level of Chiang Mai Using Multiobjective Multigene Symbolic Regression
PrakarnUnachak.html
PrayatPuangjaktha.html
http___dx.doi.org_10.1109_JCSSE53117.2021.9493833 http://dx.doi.org/10.1109/JCSSE53117.2021.9493833
UNCUOGLU:2022:asoc Comparison of neural network, Gaussian regression, support vector machine, long short-term memory, multi-gene genetic programming, and M5 Trees methods for solving civil engineering problems
ErdalUncuoglu.html
HaticeCitakoglu.html
LeventLatifoglu.html
SavasBayram.html
MustafaLaman.html
MucellaIlkentapar.html
AAlperOner.html
http___dx.doi.org_10.1016_j.asoc.2022.109623 http://dx.doi.org/10.1016/j.asoc.2022.109623
https___www.sciencedirect.com_science_article_pii_S156849462200672X https://www.sciencedirect.com/science/article/pii/S156849462200672X
unemi:1998:AFSS A Design of Multi-Field User Interface for Simulated Breeding
TatsuoUnemi.html
https___www.koreascience.or.kr_article_CFKO199811920543230.page https://www.koreascience.or.kr/article/CFKO199811920543230.page
ftp___ftp.t.soka.ac.jp_users_unemi_papers_AFSS98.pdf ftp://ftp.t.soka.ac.jp/users/unemi/papers/AFSS98.pdf
unemi:1999:KES SBART 2.4: breeding 2D CG images and movies and creating a type of collage
TatsuoUnemi.html
ftp___ftp.t.soka.ac.jp_users_unemi_papers_KES99.pdf ftp://ftp.t.soka.ac.jp/users/unemi/papers/KES99.pdf
unemi:2000:SAI SBART 2.4: An IEC tool for creating 2D images, movies, and collage
TatsuoUnemi.html
http___www.intlab.soka.ac.jp__unemi_1_unizh_paper_GAVAM2k.pdf http://www.intlab.soka.ac.jp/~unemi/1/unizh/paper/GAVAM2k.pdf
http___citeseer.ist.psu.edu_369752.html http://citeseer.ist.psu.edu/369752.html
Unemi:2010:cec SBArt4 -- Breeding abstract animations in realtime
TatsuoUnemi.html
http___dx.doi.org_10.1109_CEC.2010.5586293 http://dx.doi.org/10.1109/CEC.2010.5586293
WSEAS_458-183_Unold Context--free grammar induction using evolutionary methods
OlgierdUnold.html
http___www.wseas.us_e-library_conferences_digest2003_papers_digest.htm http://www.wseas.us/e-library/conferences/digest2003/papers/digest.htm
http___www.wseas.us_e-library_conferences_digest2003_papers_458-183.pdf http://www.wseas.us/e-library/conferences/digest2003/papers/458-183.pdf
Urbano:2013:ECAL Improving Grammatical Evolution in Santa Fe Trail using Novelty Search
PauloUrbano.html
LoukasGeorgiou.html
http___dx.doi.org_10.7551_978-0-262-31709-2-ch137 http://dx.doi.org/10.7551/978-0-262-31709-2-ch137
conf/tpnc/UrbanoNT14 Generalization in Maze Navigation Using Grammatical Evolution and Novelty Search
PauloUrbano.html
EnriqueNaredo.html
LeonardoTrujillo.html
http___dx.doi.org_10.1007_978-3-319-13749-0 http://dx.doi.org/10.1007/978-3-319-13749-0
Urbanowicz:2008:gecco Mask functions for the symbolic modeling of epistasis using genetic programming
RyanJUrbanowicz.html
NateBarney.html
BillCWhite.html
JasonHMoore.html
http___gpbib.cs.ucl.ac.uk_gecco2008_docs_p339.pdf http://gpbib.cs.ucl.ac.uk/gecco2008/docs/p339.pdf
http___dx.doi.org_10.1145_1389095.1389154 http://dx.doi.org/10.1145/1389095.1389154
Urbanowicz:2017:GPTP Problem Driven Machine Learning by Co-evolving Genetic Programming Trees and Rules in a Learning Classifier System
RyanJUrbanowicz.html
BenjaminYang.html
JasonHMoore.html
https___link.springer.com_chapter_10.1007_978-3-319-90512-9_4 https://link.springer.com/chapter/10.1007/978-3-319-90512-9_4
http___dx.doi.org_10.1007_978-3-319-90512-9_4 http://dx.doi.org/10.1007/978-3-319-90512-9_4
Urbanowicz:2022:GPTP STREAMLINE: A Simple, Transparent, End-To-End Automated Machine Learning Pipeline Facilitating Data Analysis and Algorithm Comparison
RyanJUrbanowicz.html
RobertZhang.html
YuhanCui.html
PranshuSuri.html
http___dx.doi.org_10.1007_978-981-19-8460-0_9 http://dx.doi.org/10.1007/978-981-19-8460-0_9
DBLP:journals/corr/abs-2203-00528 On genetic programming representations and fitness functions for interpretable dimensionality reduction
ThomasUriot.html
MarcoVirgolin.html
TanjaAlderliesten.html
PeterANBosman.html
https___arxiv.org_abs_2203.00528 https://arxiv.org/abs/2203.00528
https___dblp.org_rec_journals_corr_abs-2203-00528.bib https://dblp.org/rec/journals/corr/abs-2203-00528.bib
uriot:2022:GECCO On genetic programming representations and fitness functions for interpretable dimensionality reduction
ThomasUriot.html
MarcoVirgolin.html
TanjaAlderliesten.html
PeterANBosman.html
http___dx.doi.org_10.1145_3512290.3528849 http://dx.doi.org/10.1145/3512290.3528849
conf/ppsn/UrliWN12 Experimental Supplements to the Computational Complexity Analysis of Genetic Programming for Problems Modelling Isolated Program Semantics
TommasoUrli.html
MarkusWagner.html
FrankNeumann.html
http___dx.doi.org_10.1007_978-3-642-32937-1_11 http://dx.doi.org/10.1007/978-3-642-32937-1_11
Urquhart:2021:evoapplications Automated, Explainable Rule Extraction from MAP-Elites archives
NeilUrquhart.html
EmmaHart.html
SilkeHoehl.html
http___dx.doi.org_10.1007_978-3-030-72699-7_17 http://dx.doi.org/10.1007/978-3-030-72699-7_17
ursem:2002:gpwsofaedas Genetic Programming with Smooth Operators for Arithmetic Expressions: Diviplication and Subdition
RasmusKUrsem.html
ThiemoKrink.html
http___www.evalife.dk_publications_RKU_CEC2002_smooth_operators.ps.gz http://www.evalife.dk/publications/RKU_CEC2002_smooth_operators.ps.gz
http___citeseer.ist.psu.edu_527466.html http://citeseer.ist.psu.edu/527466.html
http___dx.doi.org_10.1109_CEC.2002.1004443 http://dx.doi.org/10.1109/CEC.2002.1004443
Ushakov:2010:TCSET Evolutionary algorithms in control systems engineering
EduardUshakov.html
http___ieeexplore.ieee.org_xpls_abs_all.jsp_arnumber_5446117 http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5446117
Ushie:thesis Intelligent optimisation of analogue circuits using particle swarm optimisation, genetic programming and genetic folding
OgriJamesUshie.html
http___bura.brunel.ac.uk_handle_2438_13643 http://bura.brunel.ac.uk/handle/2438/13643
https___bura.brunel.ac.uk_bitstream_2438_13643_1_FulltextThesis.pdf https://bura.brunel.ac.uk/bitstream/2438/13643/1/FulltextThesis.pdf
Ushie:2017:electroscope Evolution of Active Filter Circuits Design Using Genetic Programming
OgriJamesUshie.html
MaysamFAbbod.html
EvansCAshigwuike.html
http___www.electroscopejournal.org.ng_index.php_electros_article_view_116_108 http://www.electroscopejournal.org.ng/index.php/electros/article/view/116/108
http___www.electroscopejournal.org.ng_index.php_electros_article_view_116_108.pdf http://www.electroscopejournal.org.ng/index.php/electros/article/view/116/108.pdf
usman:2007:IJAMCS Image Authenticity and Perceptual Optimization via Genetic Algorithm and a Dependence Neighborhood
ImranUsman.html
AsifullahKhan.html
RafiullahChamlawi.html
AbdulMajid.html
http___www.waset.org_ijamcs_v4_v4-1-7.pdf http://www.waset.org/ijamcs/v4/v4-1-7.pdf
Usman:2008:wsc Perceptual Shaping in Digital Image Watermarking Using LDPC Codes and Genetic Programming
ImranUsman.html
AsifullahKhan.html
RafiullahChamlawi.html
TaeSunChoi.html
http___dx.doi.org_10.1007_978-3-540-89619-7_50 http://dx.doi.org/10.1007/978-3-540-89619-7_50
Usman:2009:IJICIC Reversible Watermarking Based on Intelligent Coefficient Selection and Integer Wavelet Transform
ImranUsman.html
AsifullahKhan.html
AsadAli.html
TaeSunChoi.html
http___www.ijicic.org_vol-5_12_a-2.htm http://www.ijicic.org/vol-5(12)a-2.htm
Usman2010332 BCH coding and intelligent watermark embedding: Employing both frequency and strength selection
ImranUsman.html
AsifullahKhan.html
http___dx.doi.org_10.1016_j.asoc.2009.08.004 http://dx.doi.org/10.1016/j.asoc.2009.08.004
http___www.sciencedirect.com_science_article_B6W86-4WYDMVY-3_2_1a633a12967fa19ed0cd96f8e0fea4f4 http://www.sciencedirect.com/science/article/B6W86-4WYDMVY-3/2/1a633a12967fa19ed0cd96f8e0fea4f4
Usman2011582 Employing intelligence in the embedding and decoding stages of a robust watermarking system
ImranUsman.html
AsifullahKhan.html
RafiullahChamlawi.html
http___dx.doi.org_10.1016_j.aeue.2010.08.009 http://dx.doi.org/10.1016/j.aeue.2010.08.009
http___www.sciencedirect.com_science_article_B7GWW-51R51HH-1_2_bf42ab85616fd89b6afca28f8079e934 http://www.sciencedirect.com/science/article/B7GWW-51R51HH-1/2/bf42ab85616fd89b6afca28f8079e934
Usman:2019:WCCS Anomalous Crowd Behavior Detection in Time Varying Motion Sequences
ImranUsman.html
http___dx.doi.org_10.1109_ICoCS.2019.8930795 http://dx.doi.org/10.1109/ICoCS.2019.8930795
Usman:2020:ACC Intelligent Automated Detection of Microaneurysms in Fundus Images Using Feature-Set Tuning
ImranUsman.html
KhaledAAlmejalli.html
http___dx.doi.org_10.1109_ACCESS.2020.2985543 http://dx.doi.org/10.1109/ACCESS.2020.2985543
Ustoorikar2008177 Filling up gaps in wave data with genetic programming
KetakiShirishUstoorikar.html
MCDeo.html
http___dx.doi.org_10.1016_j.marstruc.2007.12.001 http://dx.doi.org/10.1016/j.marstruc.2007.12.001
http___www.sciencedirect.com_science_article_B6V41-4RR20Y8-1_2_76cfad2398264322e376b67c08880225 http://www.sciencedirect.com/science/article/B6V41-4RR20Y8-1/2/76cfad2398264322e376b67c08880225
Uto:2009:WHISPERS Evaluation of oak wilt index based on genetic programming
KuniakiUto.html
YukioKosugi.html
ToshinariOgatay.html
http___dx.doi.org_10.1109_WHISPERS.2009.5289107 http://dx.doi.org/10.1109/WHISPERS.2009.5289107
Uusitalo:2024:GPEM Creative collaboration with interactive evolutionary algorithms: a reflective exploratory design study
SeveriUusitalo.html
AnnaKantosalo.html
AnttiSalovaara.html
TapioTakala.html
ChristianGuckelsberger.html
https___rdcu.be_duGFW https://rdcu.be/duGFW
http___dx.doi.org_10.1007_s10710-023-09477-9 http://dx.doi.org/10.1007/s10710-023-09477-9
Uyumaz:2014:JHI Rectangular side weirs discharge coefficient estimation in circular channels using linear genetic programming approach
AliUyumaz.html
AliDanandehMehr.html
ErcanKahya.html
HilalErdem.html
https___iwaponline.com_jh_article-abstract_16_6_1318_3338_Rectangular-side-weirs-discharge-coefficient_redirectedFrom_fulltext https://iwaponline.com/jh/article-abstract/16/6/1318/3338/Rectangular-side-weirs-discharge-coefficient?redirectedFrom=fulltext
http___dx.doi.org_10.2166_hydro.2014.112 http://dx.doi.org/10.2166/hydro.2014.112
Vafaee:2008:ICMLA Adaptively Evolving Probabilities of Genetic Operators
FatemehVafaee.html
WeiminXiao.html
PeterCNelson.html
ChiZhou.html
http___dx.doi.org_10.1109_ICMLA.2008.45 http://dx.doi.org/10.1109/ICMLA.2008.45
Vafaee:thesis Controlling Genetic Operator Rates in Evolutionary Algorithms
FatemehVafaee.html
http___indigo.uic.edu_handle_10027_8765_browse_value_Vafaee_2C_Fatemeh._type_author http://indigo.uic.edu/handle/10027/8765/browse?value=Vafaee%2C+Fatemeh.&type=author
http___hdl.handle.net_10027_12777 http://hdl.handle.net/10027/12777
Vahdat:thesis Symbiotic evolutionary subspace clustering (S-ESC)
AliVahdat.html
https___web.cs.dal.ca__mheywood_Thesis_PhD.html https://web.cs.dal.ca/~mheywood/Thesis/PhD.html
http___hdl.handle.net_10222_40629 http://hdl.handle.net/10222/40629
https___dalspace.library.dal.ca_bitstream_handle_10222_40629_Vahdat-Ali-PhD-CS-Nov2013.pdf https://dalspace.library.dal.ca/bitstream/handle/10222/40629/Vahdat-Ali-PhD-CS-Nov2013.pdf
Vahdat:2014:GECCOcomp On the application of GP to streaming data classification tasks with label budgets
AliVahdat.html
AaronAtwater.html
AndrewRMcIntyre.html
MalcolmHeywood.html
http___doi.acm.org_10.1145_2598394.2611385 http://doi.acm.org/10.1145/2598394.2611385
http___dx.doi.org_10.1145_2598394.2611385 http://dx.doi.org/10.1145/2598394.2611385
Vahdat:2015:EuroGP Tapped Delay Lines for GP Streaming Data Classification with Label Budgets
AliVahdat.html
JillianMorgan.html
AndrewRMcIntyre.html
MalcolmHeywood.html
NurZincir-Heywood.html
http___dx.doi.org_10.1007_978-3-319-16501-1_11 http://dx.doi.org/10.1007/978-3-319-16501-1_11
Vahdat:2015:hbgpa Evolving GP classifiers for streaming data tasks with concept change and label budgets: A benchmark study
AliVahdat.html
JillianMorgan.html
AndrewRMcIntyre.html
MalcolmHeywood.html
NurZincir-Heywood.html
http___dx.doi.org_10.1007_978-3-319-20883-1_18 http://dx.doi.org/10.1007/978-3-319-20883-1_18
Vaidya:2022:ICSBT HyperEstimator: Evolving Computationally Efficient CNN Models with Grammatical Evolution
GauriVaidya.html
LuiseIlg.html
MeghanaKshirsagar.html
EnriqueNaredo.html
ConorRyan.html
http___dx.doi.org_10.5220_0011324800003280 http://dx.doi.org/10.5220/0011324800003280
vaidyanathan:2003:AC Explanatory Optimization of Protein Mass Spectrometry via Genetic Search
SeetharamanVaidyanathan.html
DavidIBroadhurst.html
DouglasBKell.html
RoystonGoodacre.html
http___dbkgroup.org_Papers_AnalChem75_6679-6686_.pdf http://dbkgroup.org/Papers/AnalChem75(6679-6686).pdf
http___dx.doi.org_10.1021_ac034669a http://dx.doi.org/10.1021/ac034669a
VALARMATHI:2021:BSPC Heart disease prediction using hyper parameter optimization (HPO) tuning
RValarmathi.html
TSheela.html
http___dx.doi.org_10.1016_j.bspc.2021.103033 http://dx.doi.org/10.1016/j.bspc.2021.103033
https___www.sciencedirect.com_science_article_pii_S1746809421006303 https://www.sciencedirect.com/science/article/pii/S1746809421006303
valdes:2006:IJCNN Virtual Reality Visual Data Mining via Neural Networks obtained from Multi-objective Evolutionary Optimization: Application to Geophysical Prospecting
JulioJValdes.html
AlanJBarton.html
http___dx.doi.org_10.1109_IJCNN.2006.247165 http://dx.doi.org/10.1109/IJCNN.2006.247165
DBLP:journals/trs/ValdesB07 Finding Relevant Attributes in High Dimensional Data: A Distributed Computing Hybrid Data Mining Strategy
JulioJValdes.html
AlanJBarton.html
http___dx.doi.org_10.1007_978-3-540-71200-8_20 http://dx.doi.org/10.1007/978-3-540-71200-8_20
1274028 Computational intelligence techniques: a study of scleroderma skin disease
JulioJValdes.html
AlanJBarton.html
http___gpbib.cs.ucl.ac.uk_gecco2007_docs_p2580.pdf http://gpbib.cs.ucl.ac.uk/gecco2007/docs/p2580.pdf
http___dx.doi.org_10.1145_1274000.1274028 http://dx.doi.org/10.1145/1274000.1274028
Valdes2007498 Multi-objective evolutionary optimization for constructing neural networks for virtual reality visual data mining: Application to geophysical prospecting
JulioJValdes.html
AlanJBarton.html
http___dx.doi.org_10.1016_j.neunet.2007.04.009 http://dx.doi.org/10.1016/j.neunet.2007.04.009
http___www.sciencedirect.com_science_article_B6T08-4NMWR88-4_2_e4bffc079293e68dbe63509d3cfa17cc http://www.sciencedirect.com/science/article/B6T08-4NMWR88-4/2/e4bffc079293e68dbe63509d3cfa17cc
Valdes:2007:cecVR Visualizing High Dimensional Objective Spaces for Multi-objective Optimization: A Virtual Reality Approach
JulioJValdes.html
AlanJBarton.html
http___dx.doi.org_10.1109_CEC.2007.4425019 http://dx.doi.org/10.1109/CEC.2007.4425019
Valdes:2007:cec Virtual Reality High Dimensional Objective Spaces for Multi-Objective Optimization: An Improved Representation
JulioJValdes.html
AlanJBarton.html
RobertOrchard.html
http___dx.doi.org_10.1109_CEC.2007.4425018 http://dx.doi.org/10.1109/CEC.2007.4425018
Valdes:2008:ijcnn Characterization of Climatic Variations in Spain at the Regional Scale: A Computational Intelligence Approach
JulioJValdes.html
AntonioPou.html
RobertOrchard.html
http___dx.doi.org_10.1109_IJCNN.2008.4633834 http://dx.doi.org/10.1109/IJCNN.2008.4633834
Valdes:2009:IJCNN Climatic variation of the structure of maximum daily temperatures in Spain: A combined statistical and computational intelligence approach
JulioJValdes.html
AntonioPou.html
http___dx.doi.org_10.1109_IJCNN.2009.5178649 http://dx.doi.org/10.1109/IJCNN.2009.5178649
Valdes:2010:cec Evolutionary computation based nonlinear transformations to low dimensional spaces for sensor data fusion and Visual Data Mining
JulioJValdes.html
http___dx.doi.org_10.1109_CEC.2010.5585951 http://dx.doi.org/10.1109/CEC.2010.5585951
Valdes:2010:ijcnn Central England temperatures and solar activity: A Computational Intelligence approach
JulioJValdes.html
AntonioPou.html
http___dx.doi.org_10.1109_IJCNN.2010.5596455 http://dx.doi.org/10.1109/IJCNN.2010.5596455
Valdes:2010:GECma Genetic Programming for Exploring Medical Data Using Visual Spaces
JulioJValdes.html
AlanJBarton.html
RobertOrchard.html
http___dx.doi.org_10.1002_9780470973134.ch9 http://dx.doi.org/10.1002/9780470973134.ch9
Valdes:2020:CEC Radar-based Noncontact Human Activity Classification Using Genetic Programming
JulioJValdes.html
ZacharyBaird.html
SreeramanRajan.html
MiodragBolic.html
http___dx.doi.org_10.1109_CEC48606.2020.9185814 http://dx.doi.org/10.1109/CEC48606.2020.9185814
Valek:2022:SMC Evolutionary Approximation in Non-Local Means Image Filters
MatejValek.html
LukasSekanina.html
http___dx.doi.org_10.1109_SMC53654.2022.9945091 http://dx.doi.org/10.1109/SMC53654.2022.9945091
Valencia:2007:SenSys In situ Genetic Programming for Wireless Sensor Networks
PhilipValencia.html
http___www.comp.lancs.ac.uk__hazas_sensys07dc_summaries_valencia.pdf http://www.comp.lancs.ac.uk/~hazas/sensys07dc/summaries/valencia.pdf
Valencia:2010:IPSN Distributed genetic evolution in WSN
PhilipValencia.html
PeterALindsay.html
RajaJurdak.html
http___www2.ee.kth.se_conferences_cpsweek2010_PDF_IPSN_p013-valencia.pdf http://www2.ee.kth.se/conferences/cpsweek2010/PDF/IPSN/p013-valencia.pdf
http___dx.doi.org_10.1145_1791212.1791215 http://dx.doi.org/10.1145/1791212.1791215
Valencia:2010:geccocomp Fitness importance for online evolution
PhilipValencia.html
RajaJurdak.html
PeterALindsay.html
http___dx.doi.org_10.1145_1830761.1830890 http://dx.doi.org/10.1145/1830761.1830890
Valencia:2014:arXiv Genetic Programming for Smart Phone Personalisation
PhilipValencia.html
AidenHaak.html
AlbanCotillon.html
RajaJurdak.html
http___arxiv.org_abs_1408.2288 http://arxiv.org/abs/1408.2288
http___arxiv.org_pdf_1408.2288 http://arxiv.org/pdf/1408.2288
http___jurdak.com_ASC-GP.pdf http://jurdak.com/ASC-GP.pdf
Valencia:2014:ASC Genetic programming for smart phone personalisation
PhilipValencia.html
AidenHaak.html
AlbanCotillon.html
RajaJurdak.html
http___www.sciencedirect.com_science_article_pii_S1568494614004232 http://www.sciencedirect.com/science/article/pii/S1568494614004232
http___dx.doi.org_10.1016_j.asoc.2014.08.058 http://dx.doi.org/10.1016/j.asoc.2014.08.058
Valencia:thesis In situ Distributed Genetic Programming: An Online Learning Framework for Resource Constrained Networked Devices
PhilipValencia.html
https___espace.library.uq.edu.au_view_UQ_386470_s4109212_final_thesis.pdf https://espace.library.uq.edu.au/view/UQ:386470/s4109212_final_thesis.pdf
https___espace.library.uq.edu.au_view_UQ_386470 https://espace.library.uq.edu.au/view/UQ:386470
http___dx.doi.org_10.14264_uql.2016.295 http://dx.doi.org/10.14264/uql.2016.295
Valencia-Ramirez:2014:ROPEC Comparison between Genetic Programming and full model selection on classification problems
JoseMariaValencia-Ramirez.html
JARaya.html
JRCedeno.html
RanyartRodrigoSuarez.html
HugoJairEscalante.html
MarioGraffGuerrero.html
http___dx.doi.org_10.1109_ROPEC.2014.7036349 http://dx.doi.org/10.1109/ROPEC.2014.7036349
Valencia-Ramirez:2016:GPEM An iterative genetic programming approach to prototype generation
JoseMariaValencia-Ramirez.html
MarioGraffGuerrero.html
HugoJairEscalante.html
JamieCerda.html
http___dx.doi.org_10.1007_s10710-016-9279-3 http://dx.doi.org/10.1007/s10710-016-9279-3
conf/biocomp/ValenzuelaRRCR07 A Genetic Programming Approach for Classification of the Spontaneous Termination of Atrial Fibrillation
OlgaValenzuelaCansino.html
FernandoRojasRuiz.html
IgnacioRojasRuiz.html
MariaDelMarCeperoGonzalez.html
FranciscoJavierRojasRuiz.html
http___atc.ugr.es_I_D_i_SICA_2007_congresos_BIOCOMP_2007_1_0296.pdf http://atc.ugr.es/I+D+i/SICA/2007/congresos/BIOCOMP_2007_1_0296.pdf
journals/aai/ValenzuelaRRPBHG09 Intelligent System Based on Genetic Programming for Atrial Fibrillation Classification
OlgaValenzuelaCansino.html
IgnacioRojasRuiz.html
FranciscoJavierRojasRuiz.html
HectorPomares.html
JoseLuisBernierVillamor.html
LuisJavierHerreraMaldonado.html
AlbertoGuillenPerales.html
http___dx.doi.org_10.1080_08839510903363420 http://dx.doi.org/10.1080/08839510903363420
DBLP:reference/ai/ValenzuelaRRGHRC09 Intelligent Classifier for Atrial Fibrillation (ECG)
OlgaValenzuelaCansino.html
IgnacioRojasRuiz.html
FernandoRojas.html
AlbertoGuillenPerales.html
LuisJavierHerreraMaldonado.html
FernandoRojasRuiz.html
MariaDelMarCeperoGonzalez.html
https___dblp.org_rec_reference_ai_ValenzuelaRRGHRC09.bib https://dblp.org/rec/reference/ai/ValenzuelaRRGHRC09.bib
http___www.igi-global.com_Bookstore_Chapter.aspx_TitleId_10351 http://www.igi-global.com/Bookstore/Chapter.aspx?TitleId=10351
http___dx.doi.org_10.4018_978-1-59904-849-9.ch134 http://dx.doi.org/10.4018/978-1-59904-849-9.ch134
valigiani:2004:eurogp Analysis of GP Improvement Techniques over the Real-World Inverse Problem of Ocean Color
GregoryValigiani.html
CyrilFonlupt.html
PierreCollet.html
http___dx.doi.org_10.1007_978-3-540-24650-3_16 http://dx.doi.org/10.1007/978-3-540-24650-3_16
DBLP:conf/isaim/ValipourGSR20 Using Genetic Algorithms and Gene Expression Programming to Estimate Evapotranspiration with Limited Meteorological Data
MohammadValipour.html
SandraMGuzman.html
MohammadAliGholamiSefidkouhi.html
MahmoudRaeini-Sarjaz.html
http___isaim2020.cs.ou.edu_papers_ISAIM2020_Agriculture_Valipour_etal.pdf http://isaim2020.cs.ou.edu/papers/ISAIM2020_Agriculture_Valipour_etal.pdf
https___dblp.org_rec_conf_isaim_ValipourGSR20.bib https://dblp.org/rec/conf/isaim/ValipourGSR20.bib
vallejo:1999:RAFCGP Result-Sharing: A Framework for Cooperation in Genetic Programming
EdgarEVallejo.html
FernandoRamosQuintana.html
http___gpbib.cs.ucl.ac.uk_gecco1999_GP-435.pdf http://gpbib.cs.ucl.ac.uk/gecco1999/GP-435.pdf
http___gpbib.cs.ucl.ac.uk_gecco1999_GP-435.ps http://gpbib.cs.ucl.ac.uk/gecco1999/GP-435.ps
vallejo:2000:MICAI Evolving Insect Locomotion Using Cooperative Genetic Programming
EdgarEVallejo.html
FernandoRamosQuintana.html
http___link.springer.com_chapter_10.1007_10720076_16 http://link.springer.com/chapter/10.1007/10720076_16
http___dx.doi.org_10.1007_10720076_16 http://dx.doi.org/10.1007/10720076_16
vallejo:2001:EuroGP Evolving Turing Machines for Biosequence Recognition and Analysis
EdgarEVallejo.html
FernandoRamosQuintana.html
http___dx.doi.org_10.1007_3-540-45355-5_15 http://dx.doi.org/10.1007/3-540-45355-5_15
Valsalam:thesis Utilizing Symmetry in Evolutionary Design
VinodKValsalam.html
http___www.genetic-programming.org_hc2011_03-Valsalam_Valsalam-Text.txt http://www.genetic-programming.org/hc2011/03-Valsalam/Valsalam-Text.txt
http___nn.cs.utexas.edu_downloads_papers_valsalam.phdtr10.pdf http://nn.cs.utexas.edu/downloads/papers/valsalam.phdtr10.pdf
Valtchanov:2012:C3S2E Evolving Dungeon Crawler Levels With Relative Placement
ValtchanValtchanov.html
JosephAlexanderBrown.html
http___www.uoguelph.ca__jbrown16_Vvaltchanov_c3s2e12.pdf http://www.uoguelph.ca/~jbrown16/Vvaltchanov_c3s2e12.pdf
http___dx.doi.org_10.1145_2347583.2347587 http://dx.doi.org/10.1145/2347583.2347587
journals/tim/HaeverbekeSB21 Practical Equivalent Electrical Circuit Identification for Electrochemical Impedance Spectroscopy Analysis With Gene Expression Programming
MaximeVanHaeverbeke.html
MichielStock.html
BernardDeBaets.html
https___doi.org_10.1109_TIM.2021.3113116 https://doi.org/10.1109/TIM.2021.3113116
http___dx.doi.org_10.1109_TIM.2021.3113116 http://dx.doi.org/10.1109/TIM.2021.3113116
vanbelle:2002:EuroGP Uniform Subtree Mutation
TerryVanBelle.html
DavidHAckley.html
http___www.cs.unm.edu__treport_tr_02-02_uniform_mutation.ps.gz http://www.cs.unm.edu/~treport/tr/02-02/uniform_mutation.ps.gz
http___dx.doi.org_10.1007_3-540-45984-7_15 http://dx.doi.org/10.1007/3-540-45984-7_15
vanbelle:2002:gecco Code Factoring And The Evolution Of Evolvability
TerryVanBelle.html
DavidHAckley.html
http___gpbib.cs.ucl.ac.uk_gecco2002_SBSE170.ps http://gpbib.cs.ucl.ac.uk/gecco2002/SBSE170.ps
http___gpbib.cs.ucl.ac.uk_gecco2002_SBSE170.pdf http://gpbib.cs.ucl.ac.uk/gecco2002/SBSE170.pdf
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_gecco2002_gecco-2002-25.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/gecco2002/gecco-2002-25.pdf
belle:2003:ICES Using Genetic Programming to Generate Protocol Adaptors for Interprocess Communication
WernerVanBelle.html
TomMens.html
TheoD'Hondt.html
http___prog.vub.ac.be_Publications_2003_vub-prog-tr-03-33.pdf http://prog.vub.ac.be/Publications/2003/vub-prog-tr-03-33.pdf
http___dx.doi.org_10.1007_3-540-36553-2_38 http://dx.doi.org/10.1007/3-540-36553-2_38
VanBelle:thesis Creation of an Intelligent Concurrency Adaptor in order to mediate the Differences between Conflicting Concurrency Interfaces
WernerVanBelle.html
http___prog.vub.ac.be_Publications_2003_vub-prog-phd-03-01.pdf http://prog.vub.ac.be/Publications/2003/vub-prog-phd-03-01.pdf
Belle:2003:gecco Adaptation and Ruggedness in an Evolvability Landscape
TerryVanBelle.html
DavidHAckley.html
http___dx.doi.org_10.1007_3-540-45105-6_18 http://dx.doi.org/10.1007/3-540-45105-6_18
vanBerkel:2012:GECCOcomp Automatic discovery of algorithms for multi-agent systems
SjorsvanBerkel.html
DanielTuri.html
AndreiPruteanu.html
StefanDulman.html
http___dx.doi.org_10.1145_2330784.2330833 http://dx.doi.org/10.1145/2330784.2330833
Vandana:2023:SEFET Sensitivity Analysis of Battery Digital Twin Design Variables Using Genetic Programming
Vandana.html
BibaswanBose.html
AkhilGarg.html
http___dx.doi.org_10.1109_SeFeT57834.2023.10244776 http://dx.doi.org/10.1109/SeFeT57834.2023.10244776
vandering:2004:CHEP Genetic Programming and its application to HEP
ErikVandering.html
http___uscms-docdb.fnal.gov_cgi-bin_ShowDocument_docid_1848 http://uscms-docdb.fnal.gov/cgi-bin/ShowDocument?docid=1848
http___indico.cern.ch_event_0_session_4_contribution_49_material_slides_0.pdf http://indico.cern.ch/event/0/session/4/contribution/49/material/slides/0.pdf
vanhoucke:2000:SDACGP Speech Detection in Adverse Conditions using Genetic Programming
VincentVanhoucke.html
http___vincent.vanhoucke.com_publications_vanhoucke-koza00.pdf http://vincent.vanhoucke.com/publications/vanhoucke-koza00.pdf
Sankararajan:2016:ICTCSDM Modeling of Dissolved Oxygen Using Genetic Programming Approach
SankararajanVanitha.html
CSivapragasam.html
NVNNampoothiri.html
http___dx.doi.org_10.1007_978-3-319-64419-6_56 http://dx.doi.org/10.1007/978-3-319-64419-6_56
Vanitha:2017:EMS Modeling of constructed wetland performance in BOD5 removal for domestic wastewater under changes in relative humidity using genetic programming
SankararajanVanitha.html
NVNNampoothiri.html
CSivapragasam.html
https___doi.org_10.1007_s10661-017-5857-y https://doi.org/10.1007/s10661-017-5857-y
http___dx.doi.org_10.1007_s10661-017-5857-y http://dx.doi.org/10.1007/s10661-017-5857-y
vanLaar:mastersthesis Fitness Landscape Analysis applied to functional Genetic Improvement
DaanvanLaar.html
https___studenttheses.uu.nl_handle_20.500.12932_224 https://studenttheses.uu.nl/handle/20.500.12932/224
https___studenttheses.uu.nl_bitstream_handle_20.500.12932_224_Thesis_vFinal.pdf https://studenttheses.uu.nl/bitstream/handle/20.500.12932/224/Thesis_vFinal.pdf
vanLon:2012:GECCOcomp Evolutionary synthesis of multi-agent systems for dynamic dial-a-ride problems
RindevanLon.html
TomHolvoet.html
GreetVandenBerghe.html
TomWenseleers.html
JurgenBranke.html
http___dx.doi.org_10.1145_2330784.2330832 http://dx.doi.org/10.1145/2330784.2330832
vanLon:2017:GPEM Optimizing agents with genetic programming: an evaluation of hyper-heuristics in dynamic real-time logistics
RindevanLon.html
JurgenBranke.html
TomHolvoet.html
http___dx.doi.org_10.1007_s10710-017-9300-5 http://dx.doi.org/10.1007/s10710-017-9300-5
vanneschi:2002:gecco:workshop A Study on Fitness Distance Correlation and Problem Difficulty for Genetic Programming
LeonardoVanneschi.html
MarcoTomassini.html
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vanneschi:fca:gecco2004 Fitness Clouds and Problem Hardness in Genetic Programming
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Vanneschi:thesis Theory and Practice for Efficient Genetic Programming
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1144062 Heterogeneous cooperative coevolution: strategies of integration between GP and GA
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1144152 A Quantitative Study of Neutrality in GP Boolean Landscapes
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1277309 Multi-optimization improves genetic programming generalization ability
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1274130 Fitness landscapes and problem hardness in evolutionary computation
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conf/eurogp/2009 Proceedings of the 12th European Conference on Genetic Programming, EuroGP 2009
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DBLP:conf/gecco/VanneschiC09 Variable size population for dynamic optimization with genetic programming
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GiuseppeCuccu.html
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DBLP:conf/gecco/VanneschiG09 Using crossover based similarity measure to improve genetic programming generalization ability
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DBLP:conf/epia/VanneschiS09 Using Operator Equalisation for Prediction of Drug Toxicity with Genetic Programming
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conf/ijcci/VanneschiC09 A Study of Genetic Programming Variable Population Size for Dynamic Optimization Problems
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Vanneschi:2009:JAEA Classification of Oncologic Data with Genetic Programming
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IlariaGiordani.html
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Vanneschi:2010:EvoBIO Identification of Individualized Feature Combinations for Survival Prediction in Breast Cancer: A Comparison of Machine Learning Techniques
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AntonellaFarinaccio.html
MarioGiacobini.html
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Vanneschi:2010:gecco Measuring bloat, overfitting and functional complexity in genetic programming
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MauroCastelli.html
SaraSilva.html
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Vanneschi:2010:geccocomp Fitness landscapes and problem hardness in genetic programming
LeonardoVanneschi.html
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Vanneschi:2011:IA Hot topics in Evolutionary Computation
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Vanneschi:2011:bmcBDM A comparison of machine learning techniques for survival prediction in breast cancer
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GiancarloMauri.html
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MarioGiacobini.html
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Vanneschi:2011:GECCO The K landscapes: a tunably difficult benchmark for genetic programming
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MauroCastelli.html
LucaManzoni.html
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Vanneschi2011 A study of the neutrality of Boolean function landscapes in genetic programming
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VanneschiPoliHNC2011 Genetic Programming: Introduction, Applications, Theory and Open Issues
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vanneschi:evobio12 GeNet: A Graph-Based Genetic Programming Framework for the Reverse Engineering of Gene Regulatory Networks
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MatteoMondini.html
MartinoBertoni.html
AlbertoRonchi.html
MattiaStefano.html
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vanneschi:2013:EuroGP A New Implementation of Geometric Semantic GP and its Application to Problems in Pharmacokinetics
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MauroCastelli.html
LucaManzoni.html
SaraSilva.html
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Vanneschi:2013:GPTP Geometric Semantic Genetic Programming for Real Life Applications
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SaraSilva.html
MauroCastelli.html
LucaManzoni.html
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Vanneschi:2013:GPEM Gene regulatory networks reconstruction from time series datasets using genetic programming: a comparison between tree-based and graph-based approaches
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MatteoMondini.html
MartinoBertoni.html
AlbertoRonchi.html
MattiaStefano.html
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Vanneschi:2013:NICSO Applications of Genetic Programming in Drug Discovery and Pharmacokinetics
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journals/memetic/Vanneschi14 Improving genetic programming for the prediction of pharmacokinetic parameters
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http___dx.doi.org_10.1007_s12293-014-0143-9 http://dx.doi.org/10.1007/s12293-014-0143-9
Vanneschi:2014:GPEM A survey of semantic methods in genetic programming
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Vanneschi:2015:evoApplications Improving Maritime Awareness with Semantic Genetic Programming and Linear Scaling: Prediction of Vessels Position Based on AIS Data
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MauroCastelli.html
ErnestoCosta.html
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HenriqueVaz.html
VictorJosedeAlmeidaeSousaLobo.html
PauloUrbano.html
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Vanneschi:2015:NEO An Introduction to Geometric Semantic Genetic Programming
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http___dx.doi.org_10.1007_978-3-319-44003-3_1 http://dx.doi.org/10.1007/978-3-319-44003-3_1
vanneschi:2017:CEC An initialization technique for geometric semantic GP based on demes evolution and despeciation
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IllyaBakurov.html
MauroCastelli.html
http___dx.doi.org_10.1109_CEC.2017.7969303 http://dx.doi.org/10.1109/CEC.2017.7969303
vanneschi:2017:CECa A parallel and distributed semantic Genetic Programming system
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BernardoGalvao.html
http___dx.doi.org_10.1109_CEC.2017.7969304 http://dx.doi.org/10.1109/CEC.2017.7969304
vanneschi:2017:CECb Geometric semantic genetic programming for biomedical applications: A state of the art upgrade
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MauroCastelli.html
IvoGoncalves.html
LucaManzoni.html
SaraSilva.html
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Vanneschi:2017:GECCO PSXO: Population-wide Semantic Crossover
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MauroCastelli.html
LucaManzoni.html
KrzysztofKrawiec.html
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SaraSilva.html
IvoGoncalves.html
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Vanneschi:2018:EuroGP A Multiple Expression Alignment Framework for Genetic Programming
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KristenMScott.html
MauroCastelli.html
http___dx.doi.org_10.1007_978-3-319-77553-1_11 http://dx.doi.org/10.1007/978-3-319-77553-1_11
VANNESCHI:2018:ESA An artificial intelligence system for predicting customer default in e-commerce
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DavidMichaHorn.html
MauroCastelli.html
AlesPopovic.html
http___dx.doi.org_10.1016_j.eswa.2018.03.025 http://dx.doi.org/10.1016/j.eswa.2018.03.025
http___www.sciencedirect.com_science_article_pii_S0957417418301702 http://www.sciencedirect.com/science/article/pii/S0957417418301702
vanneschi:2018:IJCSM Accurate High Performance Concrete Prediction with an Alignment-Based Genetic Programming System
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KristenMScott.html
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Vanneschi:2019:swarmEC Alignment-based genetic programming for real life applications
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KristenMScott.html
LeonardoTrujillo.html
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Vanneschi:2020:EuroGP Is k Nearest Neighbours Regression Better than GP?
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VANNESCHI:2021:ESA Soft target and functional complexity reduction: A hybrid regularization method for genetic programming
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MauroCastelli.html
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Vanneschi:book Lectures on Intelligent Systems
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Vanneschi:2023:GPEM Introduction to the peer commentary special section on ``Jaws 30'' by W. B. Langdon
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Vanneschi:2024:EuroGP SLIM-GSGP: The Non-bloating Geometric Semantic Genetic Programming
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http___dx.doi.org_10.1007_978-3-031-56957-9_8 http://dx.doi.org/10.1007/978-3-031-56957-9_8
VanVeldhuizen:1998:eccpf Evolutionary Computation and Convergence to a Pareto Front
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VanVeldhuizen:thesis Multiobjective Evolutionary Algorithms: Classification, Analysis, and New Innovations
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vanyi:2000:grden Grammatical Retina Description with Enhanced Methods
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vanyi2:2001:gecco Giving Structural Descriptions of Tree-like Objects from Binary Images Using Genetic Programming
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Vanyi:2003:Asiivpoaodt Avoiding syntactically incorrect individuals via parameterized operators applied on derivation trees
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vanyi:ood:gecco2004 Object Oriented Design and Implementation of a General Evolutionary Algorithm
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vanyi:2004:gew:rvan Syntactically Correct Genetic Programming
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vanyi:evows05 Practical Evaluation of Efficient Fitness Functions for Binary Images
RobertVanyi.html
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Vanyi:2008:GPEM Compositional evolution: the impact of sex, symbiosis and modularity on the gradualist framework of evolution, MIT Press, Vienna Series in Theoretical Biology, Vol. 6, Richard A. Watson, 2006, 300 p., Hardcover, ISBN 0-262-23243-X
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Vanyi:thesis Derivation Tree Based Genetic Programming
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http___dx.doi.org_10.14232_phd.1659 http://dx.doi.org/10.14232/phd.1659
varadan:2001:TIE Reconstruction of polynomial systems from noisy time-series measurements using genetic programming
VinayVaradan.html
HenryLeung.html
http___dx.doi.org_10.1109_41.937405 http://dx.doi.org/10.1109/41.937405
VLB06 Dynamical model reconstruction and accurate prediction of power-pool time series
VinayVaradan.html
HenryLeung.html
EloiBosse.html
http___dx.doi.org_10.1109_TIM.2005.861492 http://dx.doi.org/10.1109/TIM.2005.861492
Vardhan:2016:Measurement Measurement of Stress Dependent Permeability of Unsaturated Clay
KurugoduHarshaVardhan.html
AnkitGarg.html
JinhuiLi.html
AkhilGarg.html
http___dx.doi.org_10.1016_j.measurement.2016.05.062 http://dx.doi.org/10.1016/j.measurement.2016.05.062
http___www.sciencedirect.com_science_article_pii_S0263224116302299 http://www.sciencedirect.com/science/article/pii/S0263224116302299
Vardy:2014:SwarmIntl Cache Consensus: Rapid Object Sorting by a Robotic Swarm
AndrewVardy.html
GregoryVorobyev.html
WolfgangBanzhaf.html
http___dx.doi.org_10.1007_s11721-014-0091-5 http://dx.doi.org/10.1007/s11721-014-0091-5
Munoz2015CIKM A Soft Computing Approach for Learning to Aggregate Rankings
JavierAlvaroVargasMunoz.html
RicardodaSilvaTorres.html
MarcosAndreGoncalves.html
http___dblp.uni-trier.de_rec_bib_conf_cikm_MunozTG15 http://dblp.uni-trier.de/rec/bib/conf/cikm/MunozTG15
http___doi.acm.org_10.1145_2806416.2806478 http://doi.acm.org/10.1145/2806416.2806478
http___dx.doi.org_10.1145_2806416.2806478 http://dx.doi.org/10.1145/2806416.2806478
DBLP:conf/racs/VarniabHK19 Classification of multiclass datasets using genetic programming
MahsaShokriVarniab.html
Chih-ChengHung.html
VahidKhalilzad-Sharghi.html
https___doi.org_10.1145_3338840.3355656 https://doi.org/10.1145/3338840.3355656
http___dx.doi.org_10.1145_3338840.3355656 http://dx.doi.org/10.1145/3338840.3355656
https___dblp.org_rec_conf_racs_VarniabHK19.bib https://dblp.org/rec/conf/racs/VarniabHK19.bib
journals/umcs/VarretteMB12 Hash function generation by means of Gene Expression Programming
SebastienVarrette.html
JakubMuszynski.html
PascalBouvry.html
http___dx.doi.org_10.2478_v10065-012-0027-x http://dx.doi.org/10.2478/v10065-012-0027-x
http___dx.doi.org_10.2478_v10065-012-0027-x http://dx.doi.org/10.2478/v10065-012-0027-x
Vaseux:2013:GECCOcomp Event-based graphical monitoring in the EpochX genetic programming framework
LoicVaseux.html
FernandoEstebanBarrilOtero.html
TomCastle.html
ColinGJohnson.html
http___dx.doi.org_10.1145_2464576.2482710 http://dx.doi.org/10.1145/2464576.2482710
conf/eurogp/VasicekS08 Hardware Accelerators for Cartesian Genetic Programming
ZdenekVasicek.html
LukasSekanina.html
http___dx.doi.org_10.1007_978-3-540-78671-9_20 http://dx.doi.org/10.1007/978-3-540-78671-9_20
Vasicek:2008:AHS Analysis of Reconfiguration Options for a Reconfigurable Polymorphic Circuit
ZdenekVasicek.html
LadislavCapka.html
LukasSekanina.html
http___dx.doi.org_10.1109_AHS.2008.25 http://dx.doi.org/10.1109/AHS.2008.25
Vasicek:2009:AHS Evolution of Impulse Bursts Noise Filters
ZdenekVasicek.html
MichalBidlo.html
LukasSekanina.html
JimTorresen.html
KyrreHaraldGlette.html
MarcusFuruholmen.html
http___dx.doi.org_10.1109_AHS.2009.33 http://dx.doi.org/10.1109/AHS.2009.33
Vasicek:2011:DATE A global postsynthesis optimization method for combinational circuits
ZdenekVasicek.html
LukasSekanina.html
http___www.fit.vutbr.cz_research_view_pub.php_id_9521 http://www.fit.vutbr.cz/research/view_pub.php?id=9521
http___ieeexplore.ieee.org_xpl_articleDetails.jsp_tp__arnumber_5763326 http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=5763326
http___dx.doi.org_10.1109_DATE.2011.5763326 http://dx.doi.org/10.1109/DATE.2011.5763326
Vasicek:2011:EDoRNIF Evolutionary Design of Robust Noise-Specific Image Filters
ZdenekVasicek.html
MichalBidlo.html
http___dx.doi.org_10.1109_CEC.2011.5949628 http://dx.doi.org/10.1109/CEC.2011.5949628
Vasicek:2011:AHS Evolutionary design of efficient and robust switching image filters
ZdenekVasicek.html
MichalBidlo.html
LukasSekanina.html
KyrreHaraldGlette.html
http___dx.doi.org_10.1109_AHS.2011.5963935 http://dx.doi.org/10.1109/AHS.2011.5963935
Vasicek:2011:GPEM Formal verification of candidate solutions for post-synthesis evolutionary optimization in evolvable hardware
ZdenekVasicek.html
LukasSekanina.html
http___dx.doi.org_10.1007_s10710-011-9132-7 http://dx.doi.org/10.1007/s10710-011-9132-7
vasicek:2012:EuroGP Efficient Phenotype Evaluation in Cartesian Genetic Programming
ZdenekVasicek.html
KarelSlany.html
https___www.fit.vut.cz_research_publication_10045 https://www.fit.vut.cz/research/publication/10045
http___dx.doi.org_10.1007_978-3-642-29139-5_23 http://dx.doi.org/10.1007/978-3-642-29139-5_23
http___www.fit.vutbr.cz__vasicek_cgp_ http://www.fit.vutbr.cz/~vasicek/cgp/
http___www.fit.vutbr.cz__vasicek_cgp__pg_accel http://www.fit.vutbr.cz/~vasicek/cgp/?pg=accel
Vasicek:2012:CEC On Area Minimization of Complex Combinational Circuits Using Cartesian Genetic Programming
ZdenekVasicek.html
LukasSekanina.html
http___dx.doi.org_10.1109_CEC.2012.6256649 http://dx.doi.org/10.1109/CEC.2012.6256649
vasicek:2014:EuroGP On Evolution of Multi-Category Pattern Classifiers Suitable for Embedded Systems
ZdenekVasicek.html
MichalBidlo.html
http___dx.doi.org_10.1007_978-3-662-44303-3_20 http://dx.doi.org/10.1007/978-3-662-44303-3_20
Vasicek:2014:isddecs Evolutionary design of approximate multipliers under different error metrics
ZdenekVasicek.html
LukasSekanina.html
http___dx.doi.org_10.1109_DDECS.2014.6868777 http://dx.doi.org/10.1109/DDECS.2014.6868777
Vasicek:2014:ieeeTEC Evolutionary Approach to Approximate Digital Circuits Design
ZdenekVasicek.html
LukasSekanina.html
http___dx.doi.org_10.1109_TEVC.2014.2336175 http://dx.doi.org/10.1109/TEVC.2014.2336175
Vasicek:2014:ICES Acceleration of transistor-level evolution using Xilinx Zynq Platform
VojtechMrazek.html
ZdenekVasicek.html
http___dx.doi.org_10.1109_ICES.2014.7008716 http://dx.doi.org/10.1109/ICES.2014.7008716
Vasicek:2014:ICESa How to evolve complex combinational circuits from scratch?
ZdenekVasicek.html
LukasSekanina.html
http___dx.doi.org_10.1109_ICES.2014.7008732 http://dx.doi.org/10.1109/ICES.2014.7008732
Vasicek:2015:EuroGPa Cartesian GP in Optimization of Combinational Circuits with Hundreds of Inputs and Thousands of Gates
ZdenekVasicek.html
http___dx.doi.org_10.1007_978-3-319-16501-1_12 http://dx.doi.org/10.1007/978-3-319-16501-1_12
Vasicek:2015:EuroGP Circuit Approximation Using Single and Multi-Objective Cartesian GP
ZdenekVasicek.html
LukasSekanina.html
http___dx.doi.org_10.1007_978-3-319-16501-1_18 http://dx.doi.org/10.1007/978-3-319-16501-1_18
Vasicek:2015:GECCOcomp Evolutionary Approximation of Complex Digital Circuits
ZdenekVasicek.html
LukasSekanina.html
http___doi.acm.org_10.1145_2739482.2764657 http://doi.acm.org/10.1145/2739482.2764657
http___dx.doi.org_10.1145_2739482.2764657 http://dx.doi.org/10.1145/2739482.2764657
Vasicek:2016:GPEM Evolutionary design of complex approximate combinational circuits
ZdenekVasicek.html
LukasSekanina.html
http___dx.doi.org_10.1007_s10710-015-9257-1 http://dx.doi.org/10.1007/s10710-015-9257-1
Vasicek:2016:FPL Search-Based Synthesis of Approximate Circuits Implemented into FPGAs
ZdenekVasicek.html
LukasSekanina.html
http___www.fit.vutbr.cz__sekanina_pubs.php.cs_id_11127 http://www.fit.vutbr.cz/~sekanina/pubs.php.cs?id=11127
http___dx.doi.org_10.1109_FPL.2016.7577305 http://dx.doi.org/10.1109/FPL.2016.7577305
Vasicek:2016:SSCI Evolutionary functional approximation of circuits implemented into FPGAs
ZdenekVasicek.html
VojtechMrazek.html
LukasSekanina.html
http___dx.doi.org_10.1109_SSCI.2016.7850173 http://dx.doi.org/10.1109/SSCI.2016.7850173
Vasicek:2016:GPEMa Trading between quality and non-functional properties of median filter in embedded systems
ZdenekVasicek.html
VojtechMrazek.html
http___www.fit.vutbr.cz_research_view_pub.php.cs_id_11077 http://www.fit.vutbr.cz/research/view_pub.php.cs?id=11077
https___rdcu.be_dfOly https://rdcu.be/dfOly
http___dx.doi.org_10.1007_s10710-016-9275-7 http://dx.doi.org/10.1007/s10710-016-9275-7
Vasicek:2017:miller Bridging the Gap Between Evolvable Hardware and Industry Using Cartesian Genetic Programming
ZdenekVasicek.html
http___dx.doi.org_10.1007_978-3-319-67997-6_2 http://dx.doi.org/10.1007/978-3-319-67997-6_2
7927241 Towards low power approximate DCT architecture for HEVC standard
ZdenekVasicek.html
VojtechMrazek.html
LukasSekanina.html
http___dx.doi.org_10.23919_DATE.2017.7927241 http://dx.doi.org/10.23919/DATE.2017.7927241
Vasicek:2019:DATE Automated Circuit Approximation Method Driven by Data Distribution
ZdenekVasicek.html
VojtechMrazek.html
LukasSekanina.html
http___dx.doi.org_10.23919_DATE.2019.8714977 http://dx.doi.org/10.23919/DATE.2019.8714977
Vasilakis:2013:CE A Genetic Programming Approach for EUR/USD Exchange Rate Forecasting and Trading
GeorgiosAVasilakis.html
KonstantinosATheofilatos.html
EfstratiosFGeorgopoulos.html
AndreasSKarathanasopoulos.html
SpiridonDLikothanassis.html
http___dx.doi.org_10.1007_s10614-012-9345-8 http://dx.doi.org/10.1007/s10614-012-9345-8
http___results.ref.ac.uk_Submissions_Output_1762292 http://results.ref.ac.uk/Submissions/Output/1762292
Vassilev:1999:eh On the Nature of Two-Bit Multiplier Landscapes
VesselinKVassilev.html
JulianFMiller.html
TerenceCFogarty.html
http___citeseer.ist.psu.edu_196181.html http://citeseer.ist.psu.edu/196181.html
http___dx.doi.org_10.1109_EH.1999.785433 http://dx.doi.org/10.1109/EH.1999.785433
Vassilev:1999:eh2 Co-evolving Demes of Non-uniform Cellular Automata for Synchronisation
VesselinKVassilev.html
JulianFMiller.html
TerenceCFogarty.html
http___dx.doi.org_10.1109_EH.1999.785442 http://dx.doi.org/10.1109/EH.1999.785442
EC Information Characteristics and the Structure of Landscapes
VesselinKVassilev.html
TerenceCFogarty.html
JulianFMiller.html
http___dx.doi.org_10.1162_106365600568095 http://dx.doi.org/10.1162/106365600568095
Vassilev:2000:GECCO Embedding Landscape Neutrality to Build a Bridge from the Conventional to a More Efficient Three-bit Multiplier Circuit
VesselinKVassilev.html
JulianFMiller.html
http___gpbib.cs.ucl.ac.uk_gecco2000_EH184.pdf http://gpbib.cs.ucl.ac.uk/gecco2000/EH184.pdf
http___gpbib.cs.ucl.ac.uk_gecco2000_EH184.ps http://gpbib.cs.ucl.ac.uk/gecco2000/EH184.ps
ICES2000 The Advantages of Landscape Neutrality in Digital Circuit Evolution
VesselinKVassilev.html
JulianFMiller.html
https___rdcu.be_dgo9d https://rdcu.be/dgo9d
http___dx.doi.org_10.1007_3-540-46406-9_25 http://dx.doi.org/10.1007/3-540-46406-9_25
Vassilev:2000:eh1 Scalability Problems of Digital Circuit Evolution: Evolvability and Efficient Designs
VesselinKVassilev.html
JulianFMiller.html
http___dx.doi.org_10.1109_EH.2000.869342 http://dx.doi.org/10.1109/EH.2000.869342
Vassilev:2000:eh2 Towards the Automatic Design of More Efficient Digital Circuits
VesselinKVassilev.html
DominicJob.html
JulianFMiller.html
http___dx.doi.org_10.1109_EH.2000.869353 http://dx.doi.org/10.1109/EH.2000.869353
Vassilev:thesis Fitness landscapes and search in the evolutionary design of digital circuits
VesselinKVassilev.html
https___ethos.bl.uk_OrderDetails.do_uin_uk.bl.ethos.322508 https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.322508
vassiliadis_performance_2011 On the Performance and Convergence Properties of Hybrid Intelligent Schemes: Application on Portfolio Optimization Domain
VassiliosVassiliadis.html
NikolaosThomaidis.html
GeorgiosDounias.html
https___link.springer.com_chapter_10.1007_978-3-642-20520-0_14 https://link.springer.com/chapter/10.1007/978-3-642-20520-0_14
http___dx.doi.org_10.1007_978-3-642-20520-0_14 http://dx.doi.org/10.1007/978-3-642-20520-0_14
vassilopoulos:2007:EANEMS Genetic Programming in Modelling of Fatigue Life of Composite Materials
AnastasiosPVassilopoulos.html
EfstratiosFGeorgopoulos.html
ThomasKeller.html
http___link.springer.com_chapter_10.1007_978-1-4020-6239-1_99 http://link.springer.com/chapter/10.1007/978-1-4020-6239-1_99
http___dx.doi.org_10.1007_978-1-4020-6239-1_99 http://dx.doi.org/10.1007/978-1-4020-6239-1_99
Vassilopoulos20081634 Comparison of genetic programming with conventional methods for fatigue life modeling of FRP composite materials
AnastasiosPVassilopoulos.html
EfstratiosFGeorgopoulos.html
ThomasKeller.html
http___dx.doi.org_10.1016_j.ijfatigue.2007.11.007 http://dx.doi.org/10.1016/j.ijfatigue.2007.11.007
http___www.sciencedirect.com_science_article_B6V35-4R6B2M8-1_2_1d030f0598bc4659ba08b55c82930264 http://www.sciencedirect.com/science/article/B6V35-4R6B2M8-1/2/1d030f0598bc4659ba08b55c82930264
Vassilopoulos:2009:ICCM Modeling of the fatigue life of adhesively-bonded FRP joints with genetic programming
AnastasiosPVassilopoulos.html
ThomasKeller.html
http___infoscience.epfl.ch_record_146571 http://infoscience.epfl.ch/record/146571
http___www.iccm-central.org_Proceedings_ICCM17proceedings_Themes_Behaviour_FATIGUE_20OF_20COMPOSITES_F13_2013_20Vassilopoulos.pdf http://www.iccm-central.org/Proceedings/ICCM17proceedings/Themes/Behaviour/FATIGUE%20OF%20COMPOSITES/F13%2013%20Vassilopoulos.pdf
VASSILOPOULOS:2020:FLPCCSE 10 - Computational intelligence methods for the fatigue life modeling of composite materials
AnastasiosPVassilopoulos.html
EfstratiosFGeorgopoulos.html
http___dx.doi.org_10.1016_B978-0-08-102575-8.00010-3 http://dx.doi.org/10.1016/B978-0-08-102575-8.00010-3
http___www.sciencedirect.com_science_article_pii_B9780081025758000103 http://www.sciencedirect.com/science/article/pii/B9780081025758000103
Vastl:2024:ACC SymFormer: End-to-End Symbolic Regression Using Transformer-Based Architecture
MartinVastl.html
JonasKulhanek.html
JiriKubalik.html
ErikDerner.html
RobertBabuska.html
http___dx.doi.org_10.1109_ACCESS.2024.3374649 http://dx.doi.org/10.1109/ACCESS.2024.3374649
Vasu:2011:IJDMMM A hybrid under-sampling approach for mining unbalanced datasets: applications to banking and insurance
MadireddiVasu.html
VadlamaniRavi.html
http___www.inderscience.com_link.php_id_38812 http://www.inderscience.com/link.php?id=38812
http___dx.doi.org_10.1504_IJDMMM.2011.038812 http://dx.doi.org/10.1504/IJDMMM.2011.038812
Vatamanu:2015:SYNASC Feature Extraction Using Genetic Programming with Applications in Malware Detection
CristinaVatamanu.html
DragosGavrilut.html
RazvanBenchea.html
HenriLuchian.html
http___dx.doi.org_10.1109_SYNASC.2015.43 http://dx.doi.org/10.1109/SYNASC.2015.43
Vatankhah:2014:JPSE Comment on 'Gene expression programming analysis of implicit Colebrook-White equation in turbulent flow friction factor calculation'
AliRVatankhah.html
http___dx.doi.org_10.1016_j.petrol.2013.12.001 http://dx.doi.org/10.1016/j.petrol.2013.12.001
http___www.sciencedirect.com_science_article_pii_S0920410513003495 http://www.sciencedirect.com/science/article/pii/S0920410513003495
Vaverka:2016:SSCI Evolving component library for approximate high level synthesis
FilipVaverka.html
RadekHrbacek.html
LukasSekanina.html
http___dx.doi.org_10.1109_SSCI.2016.7850168 http://dx.doi.org/10.1109/SSCI.2016.7850168
VAZINIMODABBER:2021:RE Optimal exergetic, exergoeconomic and exergoenvironmental design of polygeneration system based on gas Turbine-Absorption Chiller-Solar parabolic trough collector units integrated with multi-effect desalination-thermal vapor compressor- reverse osmosis desalination systems
HosseinVaziniModabber.html
MohammadHasanKhoshgoftarManesh.html
http___dx.doi.org_10.1016_j.renene.2020.11.001 http://dx.doi.org/10.1016/j.renene.2020.11.001
https___www.sciencedirect.com_science_article_pii_S0960148120317262 https://www.sciencedirect.com/science/article/pii/S0960148120317262
Vazquez-Rodriguez:2006:AAI Hybrid Evolutionary Methods for the solution of Complex Scheduling Problems
JoseAntonioVazquezRodriguez.html
AbdelSalhi.html
https___pdfs.semanticscholar.org_60d4_b3eadbbd8281a600a88ff12b35b2d5cc3838.pdf https://pdfs.semanticscholar.org/60d4/b3eadbbd8281a600a88ff12b35b2d5cc3838.pdf
Vazquez-Rodriguez:2007:EvoSchd A Robust Meta-Hyper-Heuristic Approach to Hybrid Flow-Shop Scheduling
JoseAntonioVazquezRodriguez.html
AbdelSalhi.html
http___dx.doi.org_10.1007_978-3-540-48584-1_5 http://dx.doi.org/10.1007/978-3-540-48584-1_5
Vazquez-Rodriguez:2011:JORS On the automatic discovery of variants of the NEH procedure for flow shop scheduling using genetic programming
JoseAntonioVazquezRodriguez.html
GabrielaOchoa.html
http___www.cs.stir.ac.uk__goc_papers_NEHGP_JORS.pdf http://www.cs.stir.ac.uk/~goc/papers/NEHGP_JORS.pdf
http___www.palgrave-journals.com_jors_journal_v62_n2_full_jors2010132a.html http://www.palgrave-journals.com/jors/journal/v62/n2/full/jors2010132a.html
http___dx.doi.org_10.1057_jors.2010.132 http://dx.doi.org/10.1057/jors.2010.132
http___results.ref.ac.uk_Submissions_Output_944105 http://results.ref.ac.uk/Submissions/Output/944105
DBLP:journals/cys/VazquezLG19 Learning Relevant Models using Symbolic Regression for Automatic Text Summarization
EderVazquezVazquez.html
YuliaNikolaevnaLedeneva.html
ReneArnulfoGarciaHernandez.html
https___dblp.org_rec_journals_cys_VazquezLG19.bib https://dblp.org/rec/journals/cys/VazquezLG19.bib
http___www.cys.cic.ipn.mx_ojs_index.php_CyS_article_view_2921 http://www.cys.cic.ipn.mx/ojs/index.php/CyS/article/view/2921
https___www.cys.cic.ipn.mx_ojs_index.php_CyS_article_view_2921 https://www.cys.cic.ipn.mx/ojs/index.php/CyS/article/view/2921
https___www.cys.cic.ipn.mx_ojs_index.php_CyS_article_view_2921_2604 https://www.cys.cic.ipn.mx/ojs/index.php/CyS/article/view/2921/2604
http___dx.doi.org_10.13053_CyS-23-1-2921 http://dx.doi.org/10.13053/CyS-23-1-2921
veenhuis:2005:CEC Tree Swarm Optimization: An Approach to PSO-based Tree Discovery
ChristianVeenhuis.html
MarioKoppen.html
JorgKruger.html
BertramNickolay.html
http___dx.doi.org_10.1109_CEC.2005.1554832 http://dx.doi.org/10.1109/CEC.2005.1554832
Veenhuis:2009:eurogp Tree based Differential Evolution
ChristianVeenhuis.html
http___dx.doi.org_10.1007_978-3-642-01181-8_18 http://dx.doi.org/10.1007/978-3-642-01181-8_18
Veenhuis:2013:EPIA Structure-Based Constants in Genetic Programming
ChristianVeenhuis.html
http___link.springer.com_chapter_10.1007_2F978-3-642-40669-0_12 http://link.springer.com/chapter/10.1007%2F978-3-642-40669-0_12
http___dx.doi.org_10.1007_978-3-642-40669-0_12 http://dx.doi.org/10.1007/978-3-642-40669-0_12
veennan:mastersthesis Positional Genetic Programming
CorJVeenman.html
http___citeseer.ist.psu.edu_cache_papers_cs_2905_http_zSzzSzwww-ict.its.tudelft.nlzSz_corzSzthesis96.pdf_veenman96positional.pdf http://citeseer.ist.psu.edu/cache/papers/cs/2905/http:zSzzSzwww-ict.its.tudelft.nlzSz~corzSzthesis96.pdf/veenman96positional.pdf
http___citeseer.ist.psu.edu_veenman96positional.html http://citeseer.ist.psu.edu/veenman96positional.html
Veeramachaneni:2010:gecco Evolutionary optimization of flavors
KalyanVeeramachaneni.html
Ekaterina_Katya_Vladislavleva.html
MattBurland.html
JasonParcon.html
Una-MayO'Reilly.html
http___dx.doi.org_10.1145_1830483.1830713 http://dx.doi.org/10.1145/1830483.1830713
Veeramachaneni:2011:GPEM Hitoshi Iba, Topon Kumar Paul, Yoshohiko Hasegawa: Applied genetic programming and machine learning CRC Press, 327 pp, ISBN: 978-1-4398-0369-1
KalyanVeeramachaneni.html
http___dx.doi.org_10.1007_s10710-010-9126-x http://dx.doi.org/10.1007/s10710-010-9126-x
Veeramachaneni:2012:GPEM Knowledge mining sensory evaluation data: genetic programming, statistical techniques, and swarm optimization
KalyanVeeramachaneni.html
Ekaterina_Katya_Vladislavleva.html
Una-MayO'Reilly.html
http___dx.doi.org_10.1007_s10710-011-9153-2 http://dx.doi.org/10.1007/s10710-011-9153-2
Veeramachaneni:2013:GECCO Learning regression ensembles with genetic programming at scale
KalyanVeeramachaneni.html
OwenCDerby.html
DylanSherry.html
Una-MayO'Reilly.html
http___dx.doi.org_10.1145_2463372.2463506 http://dx.doi.org/10.1145/2463372.2463506
journals/grid/VeeramachaneniA15 FlexGP - Cloud-Based Ensemble Learning with Genetic Programming for Large Regression Problems
KalyanVeeramachaneni.html
IgnacioArnaldoLucas.html
OwenCDerby.html
Una-MayO'Reilly.html
https___dspace.mit.edu_bitstream_handle_1721.1_103516_10723_2014_9320_ReferencePDF.pdf https://dspace.mit.edu/bitstream/handle/1721.1/103516/10723_2014_9320_ReferencePDF.pdf
http___dx.doi.org_10.1007_s10723-014-9320-9 http://dx.doi.org/10.1007/s10723-014-9320-9
http___dx.doi.org_10.1007_s10723-014-9320-9 http://dx.doi.org/10.1007/s10723-014-9320-9
Veerapen:2017:GI Modelling Genetic Improvement Landscapes with Local Optima Networks
NadarajenVeerapen.html
FabioDaolio.html
GabrielaOchoa.html
http___geneticimprovementofsoftware.com_wp-content_uploads_2017_05_veerapen2017_local_optima_networks.pdf http://geneticimprovementofsoftware.com/wp-content/uploads/2017/05/veerapen2017_local_optima_networks.pdf
http___dx.doi.org_10.1145_3067695.3082518 http://dx.doi.org/10.1145/3067695.3082518
Veerapen:2018:GPEM Visualising the global structure of search landscapes: genetic improvement as a case study
NadarajenVeerapen.html
GabrielaOchoa.html
http___hdl.handle.net_1893_27485 http://hdl.handle.net/1893/27485
http___hdl.handle.net_11667_120 http://hdl.handle.net/11667/120
https___doi.org_10.1007_s10710-018-9328-1 https://doi.org/10.1007/s10710-018-9328-1
http___dx.doi.org_10.1007_s10710-018-9328-1 http://dx.doi.org/10.1007/s10710-018-9328-1
conf/esorics/VeggalamRHB16 IFuzzer: An Evolutionary Interpreter Fuzzer Using Genetic Programming
SpandanVeggalam.html
SanjayRawat.html
IstvanHaller.html
HerbertBos.html
https___link.springer.com_chapter_10.1007_2F978-3-319-45744-4_29 https://link.springer.com/chapter/10.1007%2F978-3-319-45744-4_29
http___dx.doi.org_10.1007_978-3-319-45744-4_29 http://dx.doi.org/10.1007/978-3-319-45744-4_29
Vehi:2020:jhi Prediction and prevention of hypoglycaemic events in type-1 diabetic patients using machine learning
JosepVehi.html
IvanContreras.html
SilviaOviedoCastillo.html
LyviaBiagi.html
ArthurBertachi.html
https___pubmed.ncbi.nlm.nih.gov_31195880_ https://pubmed.ncbi.nlm.nih.gov/31195880/
https___journals.sagepub.com_doi_full_10.1177_1460458219850682 https://journals.sagepub.com/doi/full/10.1177/1460458219850682
http___dx.doi.org_10.1177_1460458219850682 http://dx.doi.org/10.1177/1460458219850682
Veiga:2015:CEC Using Grammar-based Genetic Programming to Determine Characteristics of Multiple Infections and Environmental Factors in the Development of Allergies and Asthma
RafaelValenteVeiga.html
JoaoMarcosdeFreitas.html
HederSoaresBernardino.html
HelioJCBarbosa.html
NeuzaAlcatara-Neves.html
http___dx.doi.org_10.1109_CEC.2015.7257079 http://dx.doi.org/10.1109/CEC.2015.7257079
Veiga:2018:BMCbi Multiobjective grammar-based genetic programming applied to the study of asthma and allergy epidemiology
RafaelValenteVeiga.html
HelioJCBarbosa.html
HederSoaresBernardino.html
JoaoMarcosdeFreitas.html
CarolineAlvesFeitosa.html
SheilaMAMatos.html
NeuzaMariaAlcantara-Neves.html
MauricioLimaBarreto.html
http___dx.doi.org_10.1186_s12859-018-2233-z http://dx.doi.org/10.1186/s12859-018-2233-z
Vekaria:1997:GPgdTR Haploid Genetic Programming with Dominance
KantaVekaria.html
ChristopherDClack.html
http___website.lineone.net__kanta_publications_haploidGP.ps http://website.lineone.net/~kanta/publications/haploidGP.ps
http___citeseer.ist.psu.edu_148827.html http://citeseer.ist.psu.edu/148827.html
Vekaria:1997:GPgd Genetic Programming With Gene Dominance
KantaVekaria.html
http___website.lineone.net__kanta_publications_gp97.ps http://website.lineone.net/~kanta/publications/gp97.ps
Velasco:2015:GECCOcomp Data-Based Identification of Prediction Models for Glucose
JoseManuelVelascoCabo.html
StephanMWinkler.html
JoseIgnacioHidalgoPerez.html
OscarGarnica.html
JLanchares.html
JManuelColmenar.html
EstherMaqueda.html
MartaBotella-Serrano.html
JoseAntonioRubio.html
http___doi.acm.org_10.1145_2739482.2768508 http://doi.acm.org/10.1145/2739482.2768508
http___dx.doi.org_10.1145_2739482.2768508 http://dx.doi.org/10.1145/2739482.2768508
Velasco:2017:evoApplications Enhancing Grammatical Evolution Through Data Augmentation: Application to Blood Glucose Forecasting
JoseManuelVelascoCabo.html
OscarGarnica.html
SergioContador.html
JManuelColmenar.html
EstherMaqueda.html
MartaBotella-Serrano.html
JLanchares.html
JoseIgnacioHidalgoPerez.html
http___dx.doi.org_10.1007_978-3-319-55849-3_10 http://dx.doi.org/10.1007/978-3-319-55849-3_10
velasco:2017:CEC Data augmentation and evolutionary algorithms to improve the prediction of blood glucose levels in scarcity of training data
JoseManuelVelascoCabo.html
OscarGarnica.html
SergioContador.html
JLanchares.html
EstherMaqueda.html
MartaBotella-Serrano.html
JoseIgnacioHidalgoPerez.html
http___dx.doi.org_10.1109_CEC.2017.7969570 http://dx.doi.org/10.1109/CEC.2017.7969570
velasco:2018:MC Combining data augmentation, EDAs and grammatical evolution for blood glucose forecasting
JoseManuelVelascoCabo.html
OscarGarnica.html
JLanchares.html
MartaBotella-Serrano.html
JoseIgnacioHidalgoPerez.html
https___rdcu.be_cz6rt https://rdcu.be/cz6rt
http___link.springer.com_article_10.1007_s12293-018-0265-6 http://link.springer.com/article/10.1007/s12293-018-0265-6
http___dx.doi.org_10.1007_s12293-018-0265-6 http://dx.doi.org/10.1007/s12293-018-0265-6
VelayLizancos:2017:CBM Analytical and genetic programming model of compressive strength of eco concretes by NDT according to curing temperature
MirianVelay-Lizancos.html
JuanLuisPerez.html
IsabelMartinez-Lage.html
PabloVazquez-Burgo.html
http___dx.doi.org_10.1016_j.conbuildmat.2017.03.123 http://dx.doi.org/10.1016/j.conbuildmat.2017.03.123
http___www.sciencedirect.com_science_article_pii_S0950061817305068 http://www.sciencedirect.com/science/article/pii/S0950061817305068
Velikonja:thesis Autonomous Music Via Artificial Evolution
PeterVelikonja.html
http___www.worldcat.org_title_autonomous-music-via-artificial-evolution_oclc_54361714 http://www.worldcat.org/title/autonomous-music-via-artificial-evolution/oclc/54361714
http___search.proquest.com_docview_908176681 http://search.proquest.com/docview/908176681
Veltri:2015:ieeeacmCBBI Improving Recognition of Antimicrobial Peptides and Target Selectivity through Machine Learning and Genetic Programming
DanielVeltri.html
UdayKamath.html
AmardaShehu.html
http___dx.doi.org_10.1109_TCBB.2015.2462364 http://dx.doi.org/10.1109/TCBB.2015.2462364
vemuri:1995:epSISAL Evolving Parallel SISAL Programs Using GP
VRaoVemuri.html
PatrickMiller.html
http___www.aaai.org_Papers_Symposia_Fall_1995_FS-95-01_FS95-01-017.pdf http://www.aaai.org/Papers/Symposia/Fall/1995/FS-95-01/FS95-01-017.pdf
http___www.aaai.org_Library_Symposia_Fall_fs95-01.php http://www.aaai.org/Library/Symposia/Fall/fs95-01.php
venegas:2022:BDiF Ensemble Models Using Symbolic Regression and Genetic Programming for Uncertainty Estimation in ESG and Alternative Investments
PercyVenegas.html
IsabelBritez.html
FernandGobet.html
http___link.springer.com_chapter_10.1007_978-3-031-12240-8_5 http://link.springer.com/chapter/10.1007/978-3-031-12240-8_5
http___dx.doi.org_10.1007_978-3-031-12240-8_5 http://dx.doi.org/10.1007/978-3-031-12240-8_5
Venema:2004:bloat An idea to combat bloat in genetic programming
VictorVenema.html
https___uni-bonn.viven.org__essays_2004_genetic_programming_and_bloat.html https://uni-bonn.viven.org//essays/2004/genetic_programming_and_bloat.html
http___variable-variability.blogspot.com_2011_04_ http://variable-variability.blogspot.com/2011/04/
Venkat:2010:IJHIT Genetic Algorithms and Programming-An Evolutionary Methodology
TVenkatNarayanaRao.html
SrikanthMadiraju.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.303.8499 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.303.8499
http___www.sersc.org_journals_IJHIT_vol3_no4_2010_1.pdf http://www.sersc.org/journals/IJHIT/vol3_no4_2010/1.pdf
venkata-vara-prasad:2021:Er Automating water quality analysis using ML and auto ML techniques
DVenkataVaraPrasad.html
PSenthilKumar.html
LokeswariYVenkataramana.html
GPrasannamedha.html
SHarshana.html
SJahnaviSrividya.html
KHarrinei.html
SravyaIndraganti.html
http___dx.doi.org_10.1016_j.envres.2021.111720 http://dx.doi.org/10.1016/j.envres.2021.111720
Venkatesan:2010:IJCA Face Detection by Hybrid Genetic and Ant Colony Optimization Algorithm
SVenkatesan.html
SSrinivasaRaoMadane.html
http___www.ijcaonline.org_volume9_number4_pxc3871854.pdf http://www.ijcaonline.org/volume9/number4/pxc3871854.pdf
venkateswarlu:2021:IJGGE Performance of Genetic Programming and Multivariate Adaptive Regression Spline Models to Predict Vibration Response of Geocell Reinforced Soil Bed: A Comparative Study
HasthiVenkateswarlu.html
ShivpreetSharma.html
AmarnathHegde.html
http___link.springer.com_article_10.1007_s40891-021-00306-6 http://link.springer.com/article/10.1007/s40891-021-00306-6
http___dx.doi.org_10.1007_s40891-021-00306-6 http://dx.doi.org/10.1007/s40891-021-00306-6
venkatraman:2004:CIM Evaluation of Mutual Information and Genetic Programming for Feature Selection in QSAR
VishweshVenkatraman.html
AndrewRowlandDalby.html
ZhengRongYang.html
http___dx.doi.org_10.1021_ci049933v http://dx.doi.org/10.1021/ci049933v
conf/afrigraph/VenterH07 Generating plants with gene expression programming
JohannesVenter.html
AlexandreHardy.html
http___dx.doi.org_10.1145_1294685.1294712 http://dx.doi.org/10.1145/1294685.1294712
Ventura:2009:SC JCLEC: a Java framework for evolutionary computation
SebastianVentura.html
CristobalRomeroMorales.html
AmeliaZafraGomez.html
JoseAntonioDelgadoMolina.html
CesarHervasMartinez.html
http___dx.doi.org_10.1007_s00500-007-0172-0 http://dx.doi.org/10.1007/s00500-007-0172-0
Ventura:2012:GPnew Genetic Programming - New Approaches and Successful Applications
SebastianVentura.html
http___www.intechopen.com_books_genetic-programming-new-approaches-and-successful-applications http://www.intechopen.com/books/genetic-programming-new-approaches-and-successful-applications
http___dx.doi.org_10.5772_3102 http://dx.doi.org/10.5772/3102
Ventura:2016:pmea Pattern Mining with Evolutionary Algorithms
SebastianVentura.html
JoseMariaLuna.html
http___www.springer.com_us_book_9783319338576 http://www.springer.com/us/book/9783319338576
http___dx.doi.org_10.1007_978-3-319-33858-3 http://dx.doi.org/10.1007/978-3-319-33858-3
Ventura:2016:GPPM Genetic Programming in Pattern Mining
SebastianVentura.html
JoseMariaLuna.html
http___dx.doi.org_10.1007_978-3-319-33858-3_5 http://dx.doi.org/10.1007/978-3-319-33858-3_5
venturini:1997:igakdd On Using Interactive Genetic Algorithms for Knowledge Discovery in Databases
GillesVenturini.html
MohamedSlimane.html
FMorin.html
Jean-PierreAsselindeBeauville.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_icga1997_venturini_1997_igakdd.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/icga1997/venturini_1997_igakdd.pdf
Vera-Licona2014 An algebra-based method for inferring gene regulatory networks
PaolaVera-Licona.html
AbdulJarrah.html
LuisDavidGarcia-Puente.html
JohnMcGee.html
ReinhardLaubenbacher.html
https___doi.org_10.1186_1752-0509-8-37 https://doi.org/10.1186/1752-0509-8-37
http___dx.doi.org_10.1186_1752-0509-8-37 http://dx.doi.org/10.1186/1752-0509-8-37
Vera-Rivera:2021:A Microservices Backlog-A Genetic Programming Technique for Identification and Evaluation of Microservices From User Stories
FredyHVera-Rivera.html
EduardPuerto.html
HernanAstudillo.html
CarlosMauricioGaona.html
http___dx.doi.org_10.1109_ACCESS.2021.3106342 http://dx.doi.org/10.1109/ACCESS.2021.3106342
Verdier:2018:CDC Formal Synthesis of Analytic Controllers for Sampled-Data Systems via Genetic Programming
CeesFVerdier.html
ManuelMazoEspinosaJr.html
http___dx.doi.org_10.1109_CDC.2018.8619121 http://dx.doi.org/10.1109/CDC.2018.8619121
VERDIER:2017:IFAC-PapersOnLine Formal Controller Synthesis via Genetic Programming
CeesFVerdier.html
ManuelMazoEspinosaJr.html
http___dx.doi.org_10.1016_j.ifacol.2017.08.1362 http://dx.doi.org/10.1016/j.ifacol.2017.08.1362
http___www.sciencedirect.com_science_article_pii_S2405896317318979 http://www.sciencedirect.com/science/article/pii/S2405896317318979
DBLP:journals/corr/abs-2003-14322 Formal controller synthesis for hybrid systems using genetic programming
CeesFVerdier.html
ManuelMazoEspinosaJr.html
https___arxiv.org_abs_2003.14322 https://arxiv.org/abs/2003.14322
https___dblp.org_rec_journals_corr_abs-2003-14322.bib https://dblp.org/rec/journals/corr/abs-2003-14322.bib
Verdier:thesis Formal synthesis of analytic controllers: An evolutionary approach
CeesFVerdier.html
https___research.tudelft.nl_en_publications_formal-synthesis-of-analytic-controllers-an-evolutionary-approach https://research.tudelft.nl/en/publications/formal-synthesis-of-analytic-controllers-an-evolutionary-approach
https___research.tudelft.nl_files_83671846_Dissertation_Cees_F_Verdier.pdf https://research.tudelft.nl/files/83671846/Dissertation_Cees_F_Verdier.pdf
http___dx.doi.org_10.4233_uuid_70f6704f-30e4-4e1a-8c74-9fe2b699a80d http://dx.doi.org/10.4233/uuid:70f6704f-30e4-4e1a-8c74-9fe2b699a80d
VERDIER:2022:automatica Formal synthesis of closed-form sampled-data controllers for nonlinear continuous-time systems under STL specifications
CeesFVerdier.html
NiklasKochdumper.html
MatthiasAlthoff.html
ManuelMazoEspinosaJr.html
http___dx.doi.org_10.1016_j.automatica.2022.110184 http://dx.doi.org/10.1016/j.automatica.2022.110184
https___www.sciencedirect.com_science_article_pii_S0005109822000292 https://www.sciencedirect.com/science/article/pii/S0005109822000292
journals/ijseke/VergilioP06 A Grammar-guided Genetic Programming Framework Configured for Data Mining and Software Testing
SilviaReginaVergilio.html
AuroraTrinidadRamirezPozo.html
http___dx.doi.org_10.1142_S0218194006002781 http://dx.doi.org/10.1142/S0218194006002781
physics/0612221 Characterizing and modeling cyclic behavior in non-stationary time series through multi-resolution analysis
AmitVerma.html
PrasantaKPanigrahi.html
JitendraCParikh.html
http___adsabs.harvard.edu_cgi-bin_nph-bib_query_bibcode_2006physics..12221A_db_key_PRE http://adsabs.harvard.edu/cgi-bin/nph-bib_query?bibcode=2006physics..12221A&db_key=PRE
http___arxiv.org_PS_cache_physics_pdf_0612_0612221.pdf http://arxiv.org/PS_cache/physics/pdf/0612/0612221.pdf
Verma:2016:ICC Use genetic programming for selecting predictor variables and modeling in process identification
DevendraVerma.html
PurvaGoel.html
VeenaPatil-Shinde.html
SanjeevSTambe.html
http___dx.doi.org_10.1109_INDIANCC.2016.7441133 http://dx.doi.org/10.1109/INDIANCC.2016.7441133
Verma:2020:GECCOcomp Evolving Genetic Programming Trees in a Rule-Based Learning Framework
SiddharthVerma.html
PiyushBorole.html
RyanJUrbanowicz.html
https___doi.org_10.1145_3377929.3390071 https://doi.org/10.1145/3377929.3390071
http___dx.doi.org_10.1145_3377929.3390071 http://dx.doi.org/10.1145/3377929.3390071
DBLP:journals/ese/VescanPLE21 Genetic programming for feature model synthesis: a replication study
AndreeaVescan.html
AdrianPintea.html
LukasLinsbauer.html
AlexanderEgyed.html
https___doi.org_10.1007_s10664-021-09947-7 https://doi.org/10.1007/s10664-021-09947-7
http___dx.doi.org_10.1007_s10664-021-09947-7 http://dx.doi.org/10.1007/s10664-021-09947-7
https___dblp.org_rec_journals_ese_VescanPLE21.bib https://dblp.org/rec/journals/ese/VescanPLE21.bib
oai:CiteSeerPSU:196426 Genetic algorithms in Haskell with polytypic programming
MansVestin.html
http___www.cs.chalmers.se__patrikj_poly_others_geneticalgorithmsinhaskellwithpolytypicprogramming.ps.gz http://www.cs.chalmers.se/~patrikj/poly/others/geneticalgorithmsinhaskellwithpolytypicprogramming.ps.gz
http___citeseer.ist.psu.edu_196426.html http://citeseer.ist.psu.edu/196426.html
vezhentseva:2012:ISGTe Optimization of supply source allocation in the problem of rational configuration of electricity supply system
OVSvezhentseva.html
NikolayIVoropai.html
http___dx.doi.org_10.1109_ISGTEurope.2012.6465714 http://dx.doi.org/10.1109/ISGTEurope.2012.6465714
vianna:1998:ehmsvphf An Evolutionary Hybrid Metaheuristic for Solving the Vehicle Routing Problem with Heterogeneous Fleet
LuizSOchi.html
DalessandroSVianna.html
LuciaMADrummond.html
AndreOVictor.html
http___dx.doi.org_10.1007_BFb0055938 http://dx.doi.org/10.1007/BFb0055938
DBLP:conf/acalci/VickersSB17 Co-Evolving Line Drawings with Hierarchical Evolution
DarwinVickers.html
JacobNilsZwiSoderlund.html
AlanBlair.html
https___dblp.org_rec_conf_acalci_VickersSB17.bib https://dblp.org/rec/conf/acalci/VickersSB17.bib
https___www.cse.unsw.edu.au__blair_pubs_2017VickersSoderlundBlairACALCI.pdf https://www.cse.unsw.edu.au/~blair/pubs/2017VickersSoderlundBlairACALCI.pdf
https___doi.org_10.1007_978-3-319-51691-2_4 https://doi.org/10.1007/978-3-319-51691-2_4
http___dx.doi.org_10.1007_978-3-319-51691-2_4 http://dx.doi.org/10.1007/978-3-319-51691-2_4
Vidal:2009:EA Artificial Evolution for 3D PET Reconstruction
FranckPVidal.html
DelphineLazaro-Ponthus.html
SamuelLegoupil.html
JeanLouchet.html
EvelyneLutton.html
Jean-MarieRocchisani.html
http___dx.doi.org_10.1007_978-3-642-14156-0_4 http://dx.doi.org/10.1007/978-3-642-14156-0_4
Vidal:2009:ieeeMIC PET reconstruction using a cooperative coevolution strategy
FranckPVidal.html
DelphineLazaro-Ponthus.html
SamuelLegoupil.html
JeanLouchet.html
EvelyneLutton.html
Jean-MarieRocchisani.html
Vidal:2009:ieeeNSS PET reconstruction using a cooperative coevolution strategy in LOR space
FranckPVidal.html
JeanLouchet.html
EvelyneLutton.html
Jean-MarieRocchisani.html
http___dx.doi.org_10.1109_NSSMIC.2009.5401758 http://dx.doi.org/10.1109/NSSMIC.2009.5401758
Vidal:2010:evows New genetic operators in the fly algorithm: application to medical PET image reconstruction
FranckPVidal.html
JeanLouchet.html
Jean-MarieRocchisani.html
EvelyneLutton.html
http___dx.doi.org_10.1007_978-3-642-12239-2_30 http://dx.doi.org/10.1007/978-3-642-12239-2_30
Vidal:2010:AAPM Flies for PET: an Artificial Evolution Strategy for Image Reconstruction in Nuclear Medicine
FranckPVidal.html
JeanLouchet.html
Jean-MarieRocchisani.html
EvelyneLutton.html
http___dx.doi.org_10.1118_1.3468200 http://dx.doi.org/10.1118/1.3468200
Vidal:2010:PPSN Threshold selection, mitosis and dual mutation in cooperative co-evolution: application to medical 3D tomography
FranckPVidal.html
EvelyneLutton.html
JeanLouchet.html
Jean-MarieRocchisani.html
http___dx.doi.org_10.1007_978-3-642-15844-5_42 http://dx.doi.org/10.1007/978-3-642-15844-5_42
Vidal:2023:ACC Diagnosing Faults in Power Transformers With Variational Autoencoder, Genetic Programming, and Neural Network
JuanFerreiraVidal.html
AdrianaRosaGarcezCastro.html
http___dx.doi.org_10.1109_ACCESS.2023.3258544 http://dx.doi.org/10.1109/ACCESS.2023.3258544
Videau:2022:EuroGP Multi-Objective Genetic Programming for Explainable Reinforcement Learning
MathurinVideau.html
AlessandroLeiteFerreira.html
OlivierTeytaud.html
MarcSchoenauer.html
https___universite-paris-saclay.hal.science_hal-03886307_ https://universite-paris-saclay.hal.science/hal-03886307/
http___dx.doi.org_10.1007_978-3-031-02056-8_18 http://dx.doi.org/10.1007/978-3-031-02056-8_18
Vidnerova:GPEM Hitoshi Iba: Evolutionary approach to machine learning and deep neural networks: neuro-evolution and gene regulatory networks
PetraVidnerova.html
http___dx.doi.org_10.1007_s10710-019-09350-8 http://dx.doi.org/10.1007/s10710-019-09350-8
journals/ijon/ViegasRGMSSAS18 A Genetic Programming approach for feature selection in highly dimensional skewed data
FelipeViegas.html
LeonardoCdaRocha.html
MarcosAndreGoncalves.html
FernandoMourao.html
GiovanniSa.html
ThiagoCunhadeMouraSalles.html
GuilhermeAndrade.html
IsacSandin.html
http___dx.doi.org_10.1016_j.neucom.2017.08.050 http://dx.doi.org/10.1016/j.neucom.2017.08.050
Vijaya-Chandran:2022:ISSE Reduced Order Modeling of a Heat Exchanger with a Stacking Ensemble to reduce Computational Inefficiencies
VinayakVijayaChandran.html
RoopaAdepu.html
http___dx.doi.org_10.1109_ISSE54508.2022.10005464 http://dx.doi.org/10.1109/ISSE54508.2022.10005464
Vijayaraghavan:2015:Measurement Development of energy consumption model of abrasive machining process by a combined evolutionary computing approach
RVijayaraghavan.html
AkhilGarg.html
VenkateshVijayaraghavan.html
LiangGao.html
http___dx.doi.org_10.1016_j.measurement.2015.07.055 http://dx.doi.org/10.1016/j.measurement.2015.07.055
http___www.sciencedirect.com_science_article_pii_S0263224115004066 http://www.sciencedirect.com/science/article/pii/S0263224115004066
Vijayaraghavan:2014:Measurement Measurement of properties of graphene sheets subjected to drilling operation using computer simulation
VenkateshVijayaraghavan.html
AkhilGarg.html
CheeHowWong.html
KangTai.html
SibaSankarMahapatra.html
http___dx.doi.org_10.1016_j.measurement.2013.12.028 http://dx.doi.org/10.1016/j.measurement.2013.12.028
http___www.sciencedirect.com_science_article_pii_S0263224113006490 http://www.sciencedirect.com/science/article/pii/S0263224113006490
Vijayaraghavan:2014:TA A molecular dynamics based artificial intelligence approach for characterizing thermal transport in nanoscale material
VenkateshVijayaraghavan.html
AkhilGarg.html
CheeHowWong.html
KangTai.html
PravinMSingru.html
LiangGao.html
KuldipSinghSangwan.html
http___dx.doi.org_10.1016_j.tca.2014.08.029 http://dx.doi.org/10.1016/j.tca.2014.08.029
http___www.sciencedirect.com_science_article_pii_S0040603114003992 http://www.sciencedirect.com/science/article/pii/S0040603114003992
Vijayaraghavan:2016:JCP A finite element based data analytics approach for modeling turning process of Inconel 718 alloys
VenkateshVijayaraghavan.html
AkhilGarg.html
LiangGao.html
RVijayaraghavan.html
GuoxingLu.html
http___dx.doi.org_10.1016_j.jclepro.2016.04.010 http://dx.doi.org/10.1016/j.jclepro.2016.04.010
http___www.sciencedirect.com_science_article_pii_S0959652616302694 http://www.sciencedirect.com/science/article/pii/S0959652616302694
Vijayaraghavan:2017:Measurement Thermo-mechanical modeling of metallic alloys for nuclear engineering applications
VenkateshVijayaraghavan.html
AkhilGarg.html
KangTai.html
LiangGao.html
http___dx.doi.org_10.1016_j.measurement.2016.11.003 http://dx.doi.org/10.1016/j.measurement.2016.11.003
http___www.sciencedirect.com_science_article_pii_S0263224116306406 http://www.sciencedirect.com/science/article/pii/S0263224116306406
VIJAYARAGHAVAN:2018:Measurement Fracture mechanics modelling of lithium-ion batteries under pinch torsion test
VenkateshVijayaraghavan.html
AkhilGarg.html
LiangGao.html
http___dx.doi.org_10.1016_j.measurement.2017.10.008 http://dx.doi.org/10.1016/j.measurement.2017.10.008
http___www.sciencedirect.com_science_article_pii_S0263224117306334 http://www.sciencedirect.com/science/article/pii/S0263224117306334
Vikhar:2016:ICGTSPICC Evolutionary algorithms: A critical review and its future prospects
PradnyaAVikhar.html
http___dx.doi.org_10.1109_ICGTSPICC.2016.7955308 http://dx.doi.org/10.1109/ICGTSPICC.2016.7955308
Vilbig:thesis Komponentenbasiertes Rapid Prototyping am Beispiel der Biomolekularen Sequenzanalyse
AlexanderGeorgVilbig.html
http___mediatum.ub.tum.de__id_601704 http://mediatum.ub.tum.de/?id=601704
https___mediatum.ub.tum.de_doc_601704_file.pdf https://mediatum.ub.tum.de/doc/601704/file.pdf
Villanueva:2020:GECCO Novelty Search for Automatic Bug Repair
OmarManuelVillanuevaContreras.html
LeonardoTrujillo.html
DanielEduardoHernandezMorales.html
https___doi.org_10.1145_3377930.3389845 https://doi.org/10.1145/3377930.3389845
http___dx.doi.org_10.1145_3377930.3389845 http://dx.doi.org/10.1145/3377930.3389845
Villar2012219 Multi-objective learning of white box models with low quality data
JoseRVillar.html
AlbaBerzosa.html
EnriqueAntoniodelaCalMarin.html
JavierSedano.html
MarcoAntonioGarciaTamargo.html
http___dx.doi.org_10.1016_j.neucom.2011.02.025 http://dx.doi.org/10.1016/j.neucom.2011.02.025
http___www.sciencedirect.com_science_article_pii_S0925231211004115 http://www.sciencedirect.com/science/article/pii/S0925231211004115
Villarreal:2016:Neurocomputing Synthesis of odor tracking algorithms with genetic programming
BlancaLorenaVillarreal.html
GustavoOlague.html
JoseLuisGordillo.html
http___dx.doi.org_10.1016_j.neucom.2015.09.108 http://dx.doi.org/10.1016/j.neucom.2015.09.108
http___www.sciencedirect.com_science_article_pii_S0925231215015970 http://www.sciencedirect.com/science/article/pii/S0925231215015970
Villegas-Cortez:2010:EvoIASP Automatic Synthesis of Associative Memories through Genetic Programming: A First Co-evolutionary Approach
JuanVillegas-Cortez.html
GustavoOlague.html
JuanHumbertoSossaAzuela.html
CarlosAviles-Cruz.html
AndresFerreyra.html
http___dx.doi.org_10.1007_978-3-642-12239-2_36 http://dx.doi.org/10.1007/978-3-642-12239-2_36
http___dx.doi.org_10.1007_978-3-642-12239-2_36 http://dx.doi.org/10.1007/978-3-642-12239-2_36
Villegas-Cortez:2011:RMdF Evolutionary Associative Memories Through Genetic Programming
JuanVillegas-Cortez.html
JuanHumbertoSossaAzuela.html
CarlosAviles-Cruz.html
GustavoOlague.html
http___www.redalyc.org_src_inicio_ArtPdfRed.jsp_iCve_57019378003 http://www.redalyc.org/src/inicio/ArtPdfRed.jsp?iCve=57019378003
http___www.redalyc.org_articulo.oa_id_57019378003 http://www.redalyc.org/articulo.oa?id=57019378003
http___www.redalyc.org_pdf_570_57019378003.pdf http://www.redalyc.org/pdf/570/57019378003.pdf
Villegas-Cortez:2012:PABA Evolutionary Associative Memories through Genetic Programming
JuanVillegas-Cortez.html
GustavoOlague.html
JuanHumbertoSossaAzuela.html
CarlosAviles-Cruz.html
http___www.amazon.com_Architectures-Bioinspired-Algorithms-Computational-Intelligence_dp_3642287883 http://www.amazon.com/Architectures-Bioinspired-Algorithms-Computational-Intelligence/dp/3642287883
http___dx.doi.org_10.1007_978-3-642-28789-3_8 http://dx.doi.org/10.1007/978-3-642-28789-3_8
Villegas-Cortez:2018:MICAI Evolution of Statistical Descriptors for the Image Recognition of Natural Sceneries by Means of Genetic Programming for CBIR Improvement
JuanVillegas-Cortez.html
CarlosAviles-Cruz.html
AZuniga-Lopez.html
SCordero-Sanchez.html
FranciscoFernandezdeVega.html
FranciscoChavezdelaO.html
http___dx.doi.org_10.1109_MICAI46078.2018.00015 http://dx.doi.org/10.1109/MICAI46078.2018.00015
VILORIA:2020:procs Design and simulation of vehicle controllers through genetic algorithms
AmelecViloria.html
NelsonAlbertoLizardoZelaya.html
NoelVarela.html
http___dx.doi.org_10.1016_j.procs.2020.07.064 http://dx.doi.org/10.1016/j.procs.2020.07.064
http___www.sciencedirect.com_science_article_pii_S1877050920317452 http://www.sciencedirect.com/science/article/pii/S1877050920317452
viloria:2020:ICBDCCC Prediction Rules in E-Learning Systems Using Genetic Programming
AmelecViloria.html
MercedesGaitanAngulo.html
SadhanaJKamatkar.html
JuandelaHoz-Hernandez.html
JesusGarciaGuiliany.html
OsmanRedondoBilbao.html
HugoHernandez-P.html
http___link.springer.com_chapter_10.1007_978-981-32-9889-7_5 http://link.springer.com/chapter/10.1007/978-981-32-9889-7_5
http___dx.doi.org_10.1007_978-981-32-9889-7_5 http://dx.doi.org/10.1007/978-981-32-9889-7_5
Virgolin:2017:GECCO Scalable Genetic Programming by Gene-pool Optimal Mixing and Input-space Entropy-based Building-block Learning
MarcoVirgolin.html
TanjaAlderliesten.html
CeesWitteveen.html
PeterANBosman.html
https___homepages.cwi.nl__bosman_publications_2017_scalablegeneticprogramming.pdf https://homepages.cwi.nl/~bosman/publications/2017_scalablegeneticprogramming.pdf
http___doi.acm.org_10.1145_3071178.3071287 http://doi.acm.org/10.1145/3071178.3071287
http___dx.doi.org_10.1145_3071178.3071287 http://dx.doi.org/10.1145/3071178.3071287
https___github.com_marcovirgolin_GP-GOMEA https://github.com/marcovirgolin/GP-GOMEA
Virgolin:2018:GECCO Symbolic regression and feature construction with GP-GOMEA applied to radiotherapy dose reconstruction of childhood cancer survivors
MarcoVirgolin.html
TanjaAlderliesten.html
ArjanBel.html
CeesWitteveen.html
PeterANBosman.html
http___dx.doi.org_10.1145_3205455.3205604 http://dx.doi.org/10.1145/3205455.3205604
Virgolin:2019:GECCO Linear scaling with and within semantic backpropagation-based genetic programming for symbolic regression
MarcoVirgolin.html
TanjaAlderliesten.html
PeterANBosman.html
http___dx.doi.org_10.1145_3321707.3321758 http://dx.doi.org/10.1145/3321707.3321758
DBLP:journals/corr/abs-1904-02050 A Model-based Genetic Programming Approach for Symbolic Regression of Small Expressions
MarcoVirgolin.html
TanjaAlderliesten.html
CeesWitteveen.html
PeterANBosman.html
http___arxiv.org_abs_1904.02050 http://arxiv.org/abs/1904.02050
https___dblp.org_rec_journals_corr_abs-1904-02050.bib https://dblp.org/rec/journals/corr/abs-1904-02050.bib
Virgolin:EC Improving Model-based Genetic Programming for Symbolic Regression of Small Expressions
MarcoVirgolin.html
TanjaAlderliesten.html
CeesWitteveen.html
PeterANBosman.html
https___doi.org_10.1162_evco_a_00278 https://doi.org/10.1162/evco_a_00278
http___dx.doi.org_10.1162_evco_a_00278 http://dx.doi.org/10.1162/evco_a_00278
Virgolin:2020:PPSN Learning a Formula of Interpretability to Learn Interpretable Formulas
MarcoVirgolin.html
AndreaDeLorenzo.html
EricMedvet.html
FrancescaRandone.html
http___dx.doi.org_10.1007_978-3-030-58115-2_6 http://dx.doi.org/10.1007/978-3-030-58115-2_6
VIRGOLIN:2020:swarm On explaining machine learning models by evolving crucial and compact features
MarcoVirgolin.html
TanjaAlderliesten.html
PeterANBosman.html
http___dx.doi.org_10.1016_j.swevo.2019.100640 http://dx.doi.org/10.1016/j.swevo.2019.100640
http___www.sciencedirect.com_science_article_pii_S2210650219305036 http://www.sciencedirect.com/science/article/pii/S2210650219305036
DBLP:phd/basesearch/Virgolin20 Design and Application of Gene-pool Optimal Mixing Evolutionary Algorithms for Genetic Programming
MarcoVirgolin.html
http___resolver.tudelft.nl_uuid_03641b5f-f8f6-4ff9-be7f-11948f6d3cc7 http://resolver.tudelft.nl/uuid:03641b5f-f8f6-4ff9-be7f-11948f6d3cc7
https___repository.tudelft.nl_islandora_object_uuid_03641b5f-f8f6-4ff9-be7f-11948f6d3cc7_datastream_OBJ_download https://repository.tudelft.nl/islandora/object/uuid:03641b5f-f8f6-4ff9-be7f-11948f6d3cc7/datastream/OBJ/download
http___dx.doi.org_10.4233_uuid_03641b5f-f8f6-4ff9-be7f-11948f6d3cc7 http://dx.doi.org/10.4233/uuid:03641b5f-f8f6-4ff9-be7f-11948f6d3cc7
https___dblp.org_rec_phd_basesearch_Virgolin20.bib https://dblp.org/rec/phd/basesearch/Virgolin20.bib
Virgolin:2020:JMI Machine learning for the prediction of pseudorealistic pediatric abdominal phantoms for radiation dose reconstruction
MarcoVirgolin.html
ZiyuanWang.html
TanjaAlderliesten.html
PeterANBosman.html
http___www.human-competitive.org_sites_default_files_humies_entry_virgolin.txt http://www.human-competitive.org/sites/default/files/humies_entry_virgolin.txt
http___www.human-competitive.org_sites_default_files_virgolinpaperapreprint_0.pdf http://www.human-competitive.org/sites/default/files/virgolinpaperapreprint_0.pdf
http___dx.doi.org_10.1117_1.JMI.7.4.046501 http://dx.doi.org/10.1117/1.JMI.7.4.046501
http___www.human-competitive.org_sites_default_files_humies2021_virgolin_1.mp4 http://www.human-competitive.org/sites/default/files/humies2021_virgolin_1.mp4
https___youtu.be_jowH-xIvthU https://youtu.be/jowH-xIvthU
DBLP:journals/corr/abs-2009-06037 Simple Simultaneous Ensemble Learning in Genetic Programming
MarcoVirgolin.html
https___arxiv.org_abs_2009.06037 https://arxiv.org/abs/2009.06037
https___dblp.org_rec_journals_corr_abs-2009-06037.bib https://dblp.org/rec/journals/corr/abs-2009-06037.bib
Virgolin:2020:MI Machine learning for automatic construction of pediatric abdominal phantoms for radiation dose reconstruction
MarcoVirgolin.html
ZiyuanWang.html
TanjaAlderliesten.html
PeterANBosman.html
https___ir.cwi.nl_pub_29558 https://ir.cwi.nl/pub/29558
https___ir.cwi.nl_pub_29558_29558.pdf https://ir.cwi.nl/pub/29558/29558.pdf
https___www.spiedigitallibrary.org_conference-proceedings-of-spie https://www.spiedigitallibrary.org/conference-proceedings-of-spie
http___dx.doi.org_10.1117_12.2548969 http://dx.doi.org/10.1117/12.2548969
Virgolin:2020:PMB Surrogate-free machine learning-based organ dose reconstruction for pediatric abdominal radiotherapy
MarcoVirgolin.html
ZiyuanWang.html
BVBalgobind.html
IWEMvanDijk.html
JanWiersma.html
PSKroon.html
GeertOJanssens.html
MvanHerk.html
DavidCHodgson.html
LornaZadravecZaletel.html
CRNRasch.html
ArjanBel.html
PeterANBosman.html
TanjaAlderliesten.html
http___www.human-competitive.org_sites_default_files_humies_entry_virgolin.txt http://www.human-competitive.org/sites/default/files/humies_entry_virgolin.txt
http___www.human-competitive.org_sites_default_files_virgolinpaperbpreprint.pdf http://www.human-competitive.org/sites/default/files/virgolinpaperbpreprint.pdf
https___doi.org_10.1088_1361-6560_ab9fcc https://doi.org/10.1088/1361-6560/ab9fcc
http___dx.doi.org_10.1088_1361-6560_ab9fcc http://dx.doi.org/10.1088/1361-6560/ab9fcc
Virgolin:2021:GECCO Genetic Programming is Naturally Suited to Evolve Bagging Ensembles
MarcoVirgolin.html
https___github.com_marcovirgolin_2SEGP https://github.com/marcovirgolin/2SEGP
http___dx.doi.org_10.1145_3449639.3459278 http://dx.doi.org/10.1145/3449639.3459278
DBLP:journals/corr/abs-2204-02046 Less is More: A Call to Focus on Simpler Models in Genetic Programming for Interpretable Machine Learning
MarcoVirgolin.html
EricMedvet.html
TanjaAlderliesten.html
PeterANBosman.html
https___doi.org_10.48550_arXiv.2204.02046 https://doi.org/10.48550/arXiv.2204.02046
http___dx.doi.org_10.48550_arXiv.2204.02046 http://dx.doi.org/10.48550/arXiv.2204.02046
https___dblp.org_rec_journals_corr_abs-2204-02046.bib https://dblp.org/rec/journals/corr/abs-2204-02046.bib
virirakis::genetica GENETICA: Genetic Evolution of Novel Entities Through the Interpretation of Composite Abstracts. Documentation of the Prototype version
LefterisVirirakis.html
http___www.genetica-informatics.org_GENETICA_Documentation.pdf http://www.genetica-informatics.org/GENETICA_Documentation.pdf
virirakis:2003:TEC GENETICA: A Computer Language That Supports General Formal Expression With Evolving Data Structures
LefterisVirirakis.html
http___dx.doi.org_10.1109_TEVC.2003.816581 http://dx.doi.org/10.1109/TEVC.2003.816581
Visoiu:2009:IEJ Structure Refinement for Vulnerability Estimation Models using Genetic Algorithm Based Model Generators
AdrianVisoiu.html
http___revistaie.ase.ro_content_49_007_20-_20Visoiu.pdf http://revistaie.ase.ro/content/49/007%20-%20Visoiu.pdf
http___revistaie.ase.ro_49.html http://revistaie.ase.ro/49.html
DBLP:journals/corr/abs-2211-17234 Genetic Programming with Local Scoring
MaxVistrup.html
https___doi.org_10.48550_arXiv.2211.17234 https://doi.org/10.48550/arXiv.2211.17234
http___dx.doi.org_10.48550_arXiv.2211.17234 http://dx.doi.org/10.48550/arXiv.2211.17234
https___dblp.org_rec_journals_corr_abs-2211-17234.bib https://dblp.org/rec/journals/corr/abs-2211-17234.bib
Vitanyi:2000:DEP A discipline of evolutionary programming
PaulMBVitanyi.html
http___xxx.lanl.gov_abs_cs.NE_9902006 http://xxx.lanl.gov/abs/cs.NE/9902006
http___homepages.cwi.nl__paulv_papers_genetic.ps http://homepages.cwi.nl/~paulv/papers/genetic.ps
http___www.elsevier.nl_gej-ng_10_41_16_175_21_22_article.pdf http://www.elsevier.nl/gej-ng/10/41/16/175/21/22/article.pdf
Vitanyi:2006:Surikagaku Asshuku ni Motozuita Hanyou na Ruijido Sokuteihou
PaulMBVitanyi.html
Vitanyi:2013:philtrans Similarity and denoising
PaulMBVitanyi.html
http___rsta.royalsocietypublishing.org_content_371_1984_20120091 http://rsta.royalsocietypublishing.org/content/371/1984/20120091
http___dx.doi.org_10.1098_rsta.2012.0091 http://dx.doi.org/10.1098/rsta.2012.0091
DBLP:conf/flairs/VitelGW21 A Neutral Rewrite Mutation Operator for Genetic Programming applied to Boolean Domain Problems
DmytroVitel.html
AlessioGaspar.html
RPaulWiegandIII.html
https___dblp.org_rec_conf_flairs_VitelGW21.bib https://dblp.org/rec/conf/flairs/VitelGW21.bib
https___journals.flvc.org_FLAIRS_article_view_128527 https://journals.flvc.org/FLAIRS/article/view/128527
https___journals.flvc.org_FLAIRS_article_view_128527_130051.pdf https://journals.flvc.org/FLAIRS/article/view/128527/130051.pdf
https___doi.org_10.32473_flairs.v34i1.128527 https://doi.org/10.32473/flairs.v34i1.128527
http___dx.doi.org_10.32473_flairs.v34i1.128527 http://dx.doi.org/10.32473/flairs.v34i1.128527
Vitola:2012:LASCAS Parallel algorithm for evolvable-based Boolean synthesis on GPUs
JaimeVitola.html
AdrianaCarolinaSanabriaBorbon.html
CesarPedrazaBonilla.html
MarthaJohannaSepulvedaFlorez.html
http___dx.doi.org_10.1109_LASCAS.2012.6180339 http://dx.doi.org/10.1109/LASCAS.2012.6180339
Vitola:2014:CWCAS Cartesian genetic algorithm for Boolean synthesis with power consumption restriction
JaimeVitola.html
CesarPedrazaBonilla.html
JoseIgnacioMartinezTorre.html
MarthaJohannaSepulvedaFlorez.html
http___dx.doi.org_10.1109_CWCAS.2014.6994608 http://dx.doi.org/10.1109/CWCAS.2014.6994608
Vladislavleva:2007:GPTP Better Solutions Faster: Soft Evolution of Robust Regression Models In Pareto genetic programming
Ekaterina_Katya_Vladislavleva.html
GuidoFSmits.html
MarkKotanchek.html
http___dx.doi.org_10.1007_978-0-387-76308-8_2 http://dx.doi.org/10.1007/978-0-387-76308-8_2
vladislavleva:2008:thesis Model-based Problem Solving through Symbolic Regression via Pareto Genetic Programming
Ekaterina_Katya_Vladislavleva.html
https___research.tilburguniversity.edu_en_publications_model-based-problem-solving-through-symbolic-regression-via-paret https://research.tilburguniversity.edu/en/publications/model-based-problem-solving-through-symbolic-regression-via-paret
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_vladislavleva_2008_thesis.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/vladislavleva_2008_thesis.pdf
Vladislavleva:2009:TEC Order of Nonlinearity as a Complexity Measure for Models Generated by Symbolic Regression via Pareto Genetic Programming
Ekaterina_Katya_Vladislavleva.html
GuidoFSmits.html
DickdenHertog.html
http___dx.doi.org_10.1109_TEVC.2008.926486 http://dx.doi.org/10.1109/TEVC.2008.926486
Vladislavleva:2010:ieeeTEC On the Importance of Data Balancing for Symbolic Regression
Ekaterina_Katya_Vladislavleva.html
GuidoFSmits.html
DickdenHertog.html
http___dx.doi.org_10.1109_TEVC.2009.2029697 http://dx.doi.org/10.1109/TEVC.2009.2029697
Vladislavleva:2010:EuroGP Learning a Lot from Only a Little: Genetic Programming for Panel Segmentation on Sparse Sensory Evaluation Data
Ekaterina_Katya_Vladislavleva.html
KalyanVeeramachaneni.html
Una-MayO'Reilly.html
http___dx.doi.org_10.1007_978-3-642-12148-7_21 http://dx.doi.org/10.1007/978-3-642-12148-7_21
Vladislavleva:2010:gecco Knowledge mining with genetic programming methods for variable selection in flavor design
Ekaterina_Katya_Vladislavleva.html
KalyanVeeramachaneni.html
MattBurland.html
JasonParcon.html
Una-MayO'Reilly.html
http___dx.doi.org_10.1145_1830483.1830651 http://dx.doi.org/10.1145/1830483.1830651
Vladislavleva:2013:RE Predicting the energy output of wind farms based on weather data: Important variables and their correlation
Ekaterina_Katya_Vladislavleva.html
TobiasFriedrich.html
FrankNeumann.html
MarkusWagner.html
http___www.sciencedirect.com_science_article_pii_S0960148112003874 http://www.sciencedirect.com/science/article/pii/S0960148112003874
http___dx.doi.org_10.1016_j.renene.2012.06.036 http://dx.doi.org/10.1016/j.renene.2012.06.036
VLASIC:2019:CIE Improving genetic algorithm performance by population initialisation with dispatching rules
IvanVlasic.html
MarkoDurasevic.html
DomagojJakobovic.html
http___dx.doi.org_10.1016_j.cie.2019.106030 http://dx.doi.org/10.1016/j.cie.2019.106030
http___www.sciencedirect.com_science_article_pii_S0360835219304899 http://www.sciencedirect.com/science/article/pii/S0360835219304899
voicu:1999:TA Trade models generated by evolutionary programming: A comparison with the gravity trade model
AncaMVoicu.html
RichardCBarrett.html
LiviuIVoicu.html
HarleyRMyler.html
Vojodi:2013:IVC A new evaluation measure for color image segmentation based on genetic programming approach
HakimeVojodi.html
AliFakhari.html
AmirMasoudEftekhariMoghadam.html
http___dx.doi.org_10.1016_j.imavis.2013.08.002 http://dx.doi.org/10.1016/j.imavis.2013.08.002
http___www.sciencedirect.com_science_article_pii_S0262885613001285 http://www.sciencedirect.com/science/article/pii/S0262885613001285
Volk:evows09 Multiple Network CGP for the Classification of Mammograms
KatharinaVolk.html
JulianFMiller.html
StephenLSmith.html
http___dx.doi.org_10.1007_978-3-642-01129-0_45 http://dx.doi.org/10.1007/978-3-642-01129-0_45
Vonk:1995:etd Integrating evolutionary computation with neural networks
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LakhmiCJain.html
LPJVeelenturf.html
RHibbs.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.540.6770 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.540.6770
https___research.utwente.nl_files_5433148_00403480.pdf https://research.utwente.nl/files/5433148/00403480.pdf
http___dx.doi.org_10.1109_ETD.1995.403480 http://dx.doi.org/10.1109/ETD.1995.403480
Mammen:2007:cec Genetic Swarm Grammar Programming: Ecological Breeding Like a Gardener
SebastianvonMammen.html
ChristianJacob.html
http___dx.doi.org_10.1109_CEC.2007.4424559 http://dx.doi.org/10.1109/CEC.2007.4424559
vonMammen:2009:cim The evolution of swarm grammars, growing trees, crafting art, and bottom-up design
SebastianvonMammen.html
ChristianJacob.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.384.9486 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.384.9486
http___dx.doi.org_10.1109_MCI.2009.933096 http://dx.doi.org/10.1109/MCI.2009.933096
2001SPIE.4512..193V Emergent system identification using particle swarm optimization
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XinFeng.html
http___www.evolutionarystructures.com_papers_88338032.pdf http://www.evolutionarystructures.com/papers/88338032.pdf
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http___dx.doi.org_10.1117_12.446767 http://dx.doi.org/10.1117/12.446767
Voss:thesis The Group Method for Cartesian Programming: A New Methodology for Complex Adaptive Functional Networks
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https___epublications.marquette.edu_engin_diss_index.6.html https://epublications.marquette.edu/engin_diss/index.6.html
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voss:2002:gecco A New Methodology For Emergent System Identification Using Particle Swarm Optimization (PSO) And The Group Mehtod Data Handling (GMDH)
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XinFeng.html
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http___dl.acm.org_citation.cfm_id_2955491.2955702 http://dl.acm.org/citation.cfm?id=2955491.2955702
voss:gecco03lbp Social Programming on MARS: A Benchmark Study
MarkSethVoss.html
http___www.evolutionarystructures.com_papers_voss_gecco2003.pdf http://www.evolutionarystructures.com/papers/voss_gecco2003.pdf
Voth:2002:ieeeIS Nature's guide to robot design
DannaVoth.html
http___dx.doi.org_10.1109_MIS.2002.1134354 http://dx.doi.org/10.1109/MIS.2002.1134354
vowk:2004:ALwks An Evolutionary Approach Generates Human Competitive Coreware Programs
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vrajitoru:1999:GPOAGA Genetic Programming Operators Applied to Genetic Algorithms
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http___www.cs.iusb.edu__danav_papers_GA-312.pdf http://www.cs.iusb.edu/~danav/papers/GA-312.pdf
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Vrettaros:2011:IJTEL GPNN techniques in learning assessment systems
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AthanasiosSDrigas.html
KostasHrissagis.html
http___www.inderscience.com_link.php_id_41284 http://www.inderscience.com/link.php?id=41284
Vu:2006:ASPGP A memetic evolutionary algorithms
ManhXuanVu.html
ThanhThuyNguyen.html
http___gpbib.cs.ucl.ac.uk_aspgp06_Aspgp_Xuan.pdf http://gpbib.cs.ucl.ac.uk/aspgp06/Aspgp_Xuan.pdf
Vu:2019:gecco Toward inverse generative social science using multi-objective genetic programming
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JoshuaMEpstein.html
AlanBrennan.html
MarkStrong.html
RobinCPurshouse.html
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http___dx.doi.org_10.1145_3321707.3321840 http://dx.doi.org/10.1145/3321707.3321840
Vu:2020:Complexity Multiobjective Genetic Programming Can Improve the Explanatory Capabilities of Mechanism-Based Models of Social Systems
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HaoBai.html
AlexandraNielsen.html
CharlotteProbst.html
AlanBrennan.html
PaulShuper.html
MarkStrong.html
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http___dx.doi.org_10.1155_2020_8923197 http://dx.doi.org/10.1155/2020/8923197
DBLP:conf/emo/VuDBBP21 Using Multi-objective Grammar-Based Genetic Programming to Integrate Multiple Social Theories in Agent-Based Modeling
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https___dblp.org_rec_conf_emo_VuDBBP21.bib https://dblp.org/rec/conf/emo/VuDBBP21.bib
http___dx.doi.org_10.1007_978-3-030-72062-9_57 http://dx.doi.org/10.1007/978-3-030-72062-9_57
Vu:2021:IGSS Challenges of three-objective bi-level model discovery: Application to alcohol use in New York State, 1985-2015
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CharlotteBuckley.html
AlanBrennan.html
RobinCPurshouse.html
https___www.igss-workshop.org_abstracts https://www.igss-workshop.org/abstracts
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Vu2021_Article_SoftwareReviewPonyGE2 Software review: Pony GE2
TuongManhVu.html
http___dx.doi.org_10.1007_s10710-021-09409-5 http://dx.doi.org/10.1007/s10710-021-09409-5
Vukusic:2006:ISMB Features of sequence composition and population genetical measures of selection to analyse alternatively spliced exons and introns
IvanaVukusic.html
Sushma-NagarajaGrellscheid.html
ThomasWiehe.html
http___www.iscb.org_cms_addon_conferences_ismb2006_archive_ismb2006.cbi.cnptia.embrapa.br_posters_list.php http://www.iscb.org/cms_addon/conferences/ismb2006/archive/ismb2006.cbi.cnptia.embrapa.br/posters_list.php
Vukusica:2007:G Applying genetic programming to the prediction of alternative mRNA splice variants
IvanaVukusic.html
Sushma-NagarajaGrellscheid.html
ThomasWiehe.html
http___dx.doi.org_10.1016_j.ygeno.2007.01.001 http://dx.doi.org/10.1016/j.ygeno.2007.01.001
Vukusic:thesis Alternative pre-mRNA Splicing: Signals and Evolution
IvanaVukusic.html
http___kups.ub.uni-koeln.de_2606_ http://kups.ub.uni-koeln.de/2606/
http___kups.ub.uni-koeln.de_2606_1_dissertation_IV_ivana.pdf http://kups.ub.uni-koeln.de/2606/1/dissertation_IV_ivana.pdf
Vyas:2015:hbgpa Genetic Programming Applications in Chemical Sciences and Engineering
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PurvaGoel.html
SanjeevSTambe.html
http___dx.doi.org_10.1007_978-3-319-20883-1_5 http://dx.doi.org/10.1007/978-3-319-20883-1_5
Vyas:2016:TCBB Application of Genetic Programming (GP) Formalism for Building Disease Predictive Models from Protein-Protein Interactions (PPI) Data
RenuVyas.html
SanketBapat.html
PurvaGoel.html
MKarthikeyan.html
SanjeevSTambe.html
BhaskarDKulkarni.html
http___dx.doi.org_10.1109_TCBB.2016.2621042 http://dx.doi.org/10.1109/TCBB.2016.2621042
wadheEtAl:2005a Behavioral Selection Using the Utility Function Method: A Case Study Involving a Simple Guard Robot
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JimmyPettersson.html
HSandholt.html
KristerWolff.html
http___www.me.chalmers.se__mwahde_AdaptiveSystems_Publications_WahdeEtAl_AMiRE2005.pdf http://www.me.chalmers.se/~mwahde/AdaptiveSystems/Publications/WahdeEtAl_AMiRE2005.pdf
wagman:2003:SPEAAGTA Stock Portfolio Evaluation: An Application of Genetic-Programming-Based Technical Analysis
LiadWagman.html
http___www.genetic-programming.org_sp2003_Wagman.pdf http://www.genetic-programming.org/sp2003/Wagman.pdf
journals/corr/abs-1103-5797 Computational Complexity Results for Genetic Programming and the Sorting Problem
MarkusWagner.html
FrankNeumann.html
http___arxiv.org_abs_1103.5797 http://arxiv.org/abs/1103.5797
Wagner:2011:ThRaSH Computational Complexity of GP and Sorting
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http___www.thrash-workshop.org_slides_wagner.pdf http://www.thrash-workshop.org/slides/wagner.pdf
Wagner:2014:CEC Single- and Multi-Objective Genetic Programming: New Runtime Results for SORTING
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Wagner:2015:EC On the Performance of Different Genetic Programming Approaches for the SORTING Problem
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FrankNeumann.html
TommasoUrli.html
http___dx.doi.org_10.1162_EVCO_a_00149 http://dx.doi.org/10.1162/EVCO_a_00149
Wagner:2016:GI Speeding up the proof strategy in formal software verification
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http___dx.doi.org_10.1145_2908961.2931690 http://dx.doi.org/10.1145/2908961.2931690
Wagner:2017:GECCOcomp GECCO '17: Proceedings of the Genetic and Evolutionary Computation Conference Companion
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ManuelLopez-Ibanez.html
AnneAuger.html
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DejanTusar.html
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EvertHaasdijk.html
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BogdanFilipic.html
AlmaRahat.html
HandingWang.html
YaochuJin.html
https___dl.acm.org_citation.cfm_id_3067695 https://dl.acm.org/citation.cfm?id=3067695
http___dx.doi.org_10.1145_3067695 http://dx.doi.org/10.1145/3067695
wagner:2001:gpepcftsp Genetic Programming with Efficient Population Control for Financial Time Series Prediction
NealWagner.html
ZbigniewMichalewicz.html
http___www.coe.uncc.edu__nwagner_gecco_GeccoPresentation_files_v3_document.htm http://www.coe.uncc.edu/~nwagner/gecco/GeccoPresentation_files/v3_document.htm
wagner:2007:tec Time Series Forecasting for Dynamic Environments: The DyFor Genetic Program Model
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MoutazKhouja.html
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http___dx.doi.org_10.1109_TEVC.2006.882430 http://dx.doi.org/10.1109/TEVC.2006.882430
Wagner:2008:gecco An analysis of adaptive windowing for time series forecasting in dynamic environments: further tests of the DyFor GP model
NealWagner.html
ZbigniewMichalewicz.html
http___gpbib.cs.ucl.ac.uk_gecco2008_docs_p1657.pdf http://gpbib.cs.ucl.ac.uk/gecco2008/docs/p1657.pdf
http___dx.doi.org_10.1145_1389095.1389406 http://dx.doi.org/10.1145/1389095.1389406
Wagner:2009:JBVELA Forecasting the Periodic Net Discount Rate with Genetic Programming
NealWagner.html
MarkAThompson.html
http___www.bepress.com_jbvela_vol4_iss1_art4 http://www.bepress.com/jbvela/vol4/iss1/art4
http___dx.doi.org_10.2202_1932-9156.1072 http://dx.doi.org/10.2202/1932-9156.1072
wagner:2004:tr The HeuristicLab Optimization Environment
StefanWagner.html
MichaelAffenzeller.html
http___www.heuristiclab.com_publications_papers_wagner04c.pdf http://www.heuristiclab.com/publications/papers/wagner04c.pdf
Wagner2009 Heuristic Optimization Software Systems - Modeling of Heuristic Optimization Algorithms in the HeuristicLab Software Environment
StefanWagner.html
Wagner:2011:GECCOcomp Algorithm and experiment design with heuristiclab: an open source optimization environment for research and education
StefanWagner.html
GabrielKronberger.html
http___dx.doi.org_10.1145_2001858.2002143 http://dx.doi.org/10.1145/2001858.2002143
Wagner2014 Architecture and Design of the HeuristicLab Optimization Environment
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GabrielKronberger.html
AndreasBeham.html
MichaelKommenda.html
AndreasScheibenpflug.html
ErikPitzer.html
StefanVonolfen.html
MonikaKofler.html
StephanMWinkler.html
ViktoriaDorfer.html
MichaelAffenzeller.html
http___dx.doi.org_10.1007_978-3-319-01436-4_10 http://dx.doi.org/10.1007/978-3-319-01436-4_10
http___dx.doi.org_10.1007_978-3-319-01436-4_10 http://dx.doi.org/10.1007/978-3-319-01436-4_10
4705 Automatic Adaption of Operator Probabilities in Genetic Algorithms with Offspring Selection
StefanWagner.html
MichaelAffenzeller.html
AndreasScheibenpflug.html
http___link.springer.com_chapter_10.1007_978-3-319-27340-2_54 http://link.springer.com/chapter/10.1007/978-3-319-27340-2_54
http___dx.doi.org_10.1007_978-3-319-27340-2_54 http://dx.doi.org/10.1007/978-3-319-27340-2_54
6348 Analysis and Visualization of the Impact of Different Parameter Configurations on the Behavior of Evolutionary Algorithms
StefanWagner.html
AndreasBeham.html
MichaelAffenzeller.html
https___link.springer.com_chapter_10.1007_2F978-3-319-74718-7_53 https://link.springer.com/chapter/10.1007%2F978-3-319-74718-7_53
http___dx.doi.org_10.1007_978-3-319-74718-7_53 http://dx.doi.org/10.1007/978-3-319-74718-7_53
Wagy:thesis Enabling Machine Science through Distributed Human Computing
MarkWagy.html
https___scholarworks.uvm.edu_cgi_viewcontent.cgi_article_1617_context_graddis https://scholarworks.uvm.edu/cgi/viewcontent.cgi?article=1617&context=graddis
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wakaki:2003:gecco AVICE: Evolving Avatar's Movernent
HiromiWakaki.html
HitoshiIba.html
http___dx.doi.org_10.1007_3-540-45110-2_79 http://dx.doi.org/10.1007/3-540-45110-2_79
walker:2004:eurogp Evolution and Acquisition of Modules in Cartesian Genetic Programming
JamesAlfredWalker.html
JulianFMiller.html
http___www.elec.york.ac.uk_intsys_users_jfm7_eurogp2004.pdf http://www.elec.york.ac.uk/intsys/users/jfm7/eurogp2004.pdf
http___dx.doi.org_10.1007_978-3-540-24650-3_17 http://dx.doi.org/10.1007/978-3-540-24650-3_17
1068287 Investigating the performance of module acquisition in cartesian genetic programming
JamesAlfredWalker.html
JulianFMiller.html
http___gpbib.cs.ucl.ac.uk_gecco2005_docs_p1649.pdf http://gpbib.cs.ucl.ac.uk/gecco2005/docs/p1649.pdf
http___dx.doi.org_10.1145_1068009.1068287 http://dx.doi.org/10.1145/1068009.1068287
conf/ices/WalkerM05 Improving the Evolvability of Digital Multipliers Using Embedded Cartesian Genetic Programming and Product Reduction
JamesAlfredWalker.html
JulianFMiller.html
http___dx.doi.org_10.1007_11549703_13 http://dx.doi.org/10.1007/11549703_13
1144153 A multi-chromosome approach to standard and embedded cartesian genetic programming
JamesAlfredWalker.html
JulianFMiller.html
RachelCavill.html
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http___dx.doi.org_10.1145_1143997.1144153 http://dx.doi.org/10.1145/1143997.1144153
1144154 Embedded cartesian genetic programming and the lawnmower and hierarchical-if-and-only-if problems
JamesAlfredWalker.html
JulianFMiller.html
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http___dx.doi.org_10.1145_1143997.1144154 http://dx.doi.org/10.1145/1143997.1144154
eurogp07:jwalker1 Predicting Prime Numbers Using Cartesian Genetic Programming
JamesAlfredWalker.html
JulianFMiller.html
http___dx.doi.org_10.1007_978-3-540-71605-1_19 http://dx.doi.org/10.1007/978-3-540-71605-1_19
eurogp07:jwalker2 Changing the Genospace: Solving GA Problems with Cartesian Genetic Programming
JamesAlfredWalker.html
JulianFMiller.html
http___dx.doi.org_10.1007_978-3-540-71605-1_24 http://dx.doi.org/10.1007/978-3-540-71605-1_24
1277295 Solving real-valued optimisation problems using cartesian genetic programming
JamesAlfredWalker.html
JulianFMiller.html
http___gpbib.cs.ucl.ac.uk_gecco2007_docs_p1724.pdf http://gpbib.cs.ucl.ac.uk/gecco2007/docs/p1724.pdf
http___dx.doi.org_10.1145_1276958.1277295 http://dx.doi.org/10.1145/1276958.1277295
James.Alfred.Walker:thesis The automatic acquisition, evolution and re-use of modules in cartesian genetic programming
JamesAlfredWalker.html
http___ethos.bl.uk_OrderDetails.do_did_1_uin_uk.bl.ethos.444766 http://ethos.bl.uk/OrderDetails.do?did=1&uin=uk.bl.ethos.444766
Walker_2008_TEC The Automatic Acquisition, Evolution and Reuse of Modules in Cartesian Genetic Programming
JamesAlfredWalker.html
JulianFMiller.html
http___dx.doi.org_10.1109_TEVC.2007.903549 http://dx.doi.org/10.1109/TEVC.2007.903549
http___results.ref.ac.uk_Submissions_Output_3354578 http://results.ref.ac.uk/Submissions/Output/3354578
Walker:2009:cec Towards Evolving Industry-Feasible Intrinsic Variability Tolerant CMOS Designs
JamesAlfredWalker.html
JamesAHilder.html
AndrewMTyrrell.html
http___dx.doi.org_10.1109_CEC.2009.4983132 http://dx.doi.org/10.1109/CEC.2009.4983132
Walker:2009:GPEM Parallel evolution using multi-chromosome cartesian genetic programming
JamesAlfredWalker.html
KatharinaVolk.html
StephenLSmith.html
JulianFMiller.html
http___dx.doi.org_10.1007_s10710-009-9093-2 http://dx.doi.org/10.1007/s10710-009-9093-2
Walker:2010:ICES Measuring the Performance and Intrinsic Variability of Evolved Circuits
JamesAlfredWalker.html
JamesAHilder.html
AndrewMTyrrell.html
http___dx.doi.org_10.1007_978-3-642-15323-5_1 http://dx.doi.org/10.1007/978-3-642-15323-5_1
Walker:2010:ICESb Automatic Code Generation on a MOVE Processor Using Cartesian Genetic Programming
JamesAlfredWalker.html
YangLiu.html
GianlucaTempesti.html
AndrewMTyrrell.html
http___dx.doi.org_10.1007_978-3-642-15323-5_21 http://dx.doi.org/10.1007/978-3-642-15323-5_21
Walker:2011:CGP Problem Decomposition in Cartesian Genetic Programming
JamesAlfredWalker.html
JulianFMiller.html
PaulKaufmann.html
MarcoPlatzner.html
http___www.springer.com_computer_theoretical_computer_science_book_978-3-642-17309-7 http://www.springer.com/computer/theoretical+computer+science/book/978-3-642-17309-7
http___dx.doi.org_10.1007_978-3-642-17310-3_3 http://dx.doi.org/10.1007/978-3-642-17310-3_3
journals/ijaras/WalkerLTTT12 Automatic Machine Code Generation for a Transport Triggered Architecture using Cartesian Genetic Programming
JamesAlfredWalker.html
YangLiu.html
GianlucaTempesti.html
JonTimmis.html
AndrewMTyrrell.html
http___dx.doi.org_10.4018_jaras.2012100103 http://dx.doi.org/10.4018/jaras.2012100103
Walker:2013:SSCI Designing Function Configuration Decoders for the PAnDA architecture using Multi-objective Cartesian Genetic Programming
JamesAlfredWalker.html
MartinATrefzer.html
AndrewMTyrrell.html
http___dx.doi.org_10.1109_ICES.2013.6613288 http://dx.doi.org/10.1109/ICES.2013.6613288
walker:2003:AB Evolving Controllers for Real Robots: A Survey of the Literature
JoanneHWalker.html
SimonGarrett.html
MyraSWilson.html
http___users.aber.ac.uk_jnw_pubs_Walkeretal.pdf http://users.aber.ac.uk/jnw/pubs/Walkeretal.pdf
http___dx.doi.org_10.1177_1059712303113003 http://dx.doi.org/10.1177/1059712303113003
Walker:1997:mdcva Methodologies to the Design and Control of Virtual Agents
JohnWalker.html
oai:CiteSeerPSU:530668 Evolution of a Robotic Soccer Player
MatthewWalker.html
http___www.massey.ac.nz__wwiims_research_letters_volume3number1_02_walker.pdf http://www.massey.ac.nz/~wwiims/research/letters/volume3number1/02_walker.pdf
http___hdl.handle.net_10179_4362 http://hdl.handle.net/10179/4362
http___mro.massey.ac.nz_bitstream_handle_10179_4362_Evolution_of_a_Robotic_Soccer_Player.pdf http://mro.massey.ac.nz/bitstream/handle/10179/4362/Evolution_of_a_Robotic_Soccer_Player.pdf
http___citeseer.ist.psu.edu_530668.html http://citeseer.ist.psu.edu/530668.html
eurogp07:walker Confidence Intervals for Computational Effort Comparisons
MatthewWalker.html
HowardEdwards.html
ChrisMessom.html
http___dx.doi.org_10.1007_978-3-540-71605-1_3 http://dx.doi.org/10.1007/978-3-540-71605-1_3
1277294 The reliability of confidence intervals for computational effort comparisons
MatthewWalker.html
HowardEdwards.html
ChrisMessom.html
http___gpbib.cs.ucl.ac.uk_gecco2007_docs_p1716.pdf http://gpbib.cs.ucl.ac.uk/gecco2007/docs/p1716.pdf
http___dx.doi.org_10.1145_1276958.1277294 http://dx.doi.org/10.1145/1276958.1277294
1277310 "Success effort" for performance comparisons
MatthewWalker.html
HowardEdwards.html
ChrisMessom.html
http___gpbib.cs.ucl.ac.uk_gecco2007_docs_p1760.pdf http://gpbib.cs.ucl.ac.uk/gecco2007/docs/p1760.pdf
http___dx.doi.org_10.1145_1276958.1277310 http://dx.doi.org/10.1145/1276958.1277310
Walker:2007:cec Success Effort and Other Statistics for Performance Comparisons in Genetic Programming
MatthewWalker.html
HowardEdwards.html
ChrisMessom.html
http___dx.doi.org_10.1109_CEC.2007.4425079 http://dx.doi.org/10.1109/CEC.2007.4425079
Walker:thesis Developing and evaluating incremental evolution using high quality performance measures for genetic programming
MatthewWalker.html
http___hdl.handle.net_10179_738 http://hdl.handle.net/10179/738
http___muir.massey.ac.nz_bitstream_10179_738_1_02whole.pdf http://muir.massey.ac.nz/bitstream/10179/738/1/02whole.pdf
walker:1995:ceuga Credit Evaluation Using a Genetic Algorithm
RFWalker.html
EvertHaasdijk.html
MCGerrets.html
http___www.amazon.com_Intelligent-Systems-Finance-Business-Goonatilake_dp_0471944041 http://www.amazon.com/Intelligent-Systems-Finance-Business-Goonatilake/dp/0471944041
walker:1999:AWGP Assessment of the Web using Genetic Programming
ReginaldLWalker.html
http___gpbib.cs.ucl.ac.uk_gecco1999_RW-727.pdf http://gpbib.cs.ucl.ac.uk/gecco1999/RW-727.pdf
http___gpbib.cs.ucl.ac.uk_gecco1999_RW-727.ps http://gpbib.cs.ucl.ac.uk/gecco1999/RW-727.ps
Walker:2001:PC Search engine case study: searching the web using genetic programming and MPI
ReginaldLWalker.html
http___www.sciencedirect.com_science_article_B6V12-42K5HNX-4_1_57eb870c72fb7768bb7d824557444b72 http://www.sciencedirect.com/science/article/B6V12-42K5HNX-4/1/57eb870c72fb7768bb7d824557444b72
http___dx.doi.org_10.1016_S0167-8191_00_00089-2 http://dx.doi.org/10.1016/S0167-8191(00)00089-2
walker:2001:pcsumec Parallel Clustering System Using the Methodologies of Evolutionary Computations
ReginaldLWalker.html
http___dx.doi.org_10.1109_CEC.2001.934276 http://dx.doi.org/10.1109/CEC.2001.934276
Walker:2001:DLB Dynamic Load Balancing Model: Preliminary Results for Parallel Pseudo-search Engine Indexers Crawler Mechanisms Using MPI and Genetic Programming
ReginaldLWalker.html
http___dx.doi.org_10.1007_3-540-44942-6_5 http://dx.doi.org/10.1007/3-540-44942-6_5
Walkinshaw:2016:ICSME Inferring Computational State Machine Models from Program Executions
NeilWalkinshaw.html
MathewHall.html
http___bibtex.github.io_ICSME-2016-WalkinshawH.html http://bibtex.github.io/ICSME-2016-WalkinshawH.html
https___eprints.whiterose.ac.uk_127869_1_ICSME2016FinalSubmission.pdf https://eprints.whiterose.ac.uk/127869/1/ICSME2016FinalSubmission.pdf
http___dx.doi.org_10.1109_ICSME.2016.74 http://dx.doi.org/10.1109/ICSME.2016.74
oai:arXiv.org:1608.03181 Uncertainty-Driven Black-Box Test Data Generation
NeilWalkinshaw.html
GordonFraser.html
http___arxiv.org_abs_1608.03181 http://arxiv.org/abs/1608.03181
Walkinshaw:2017:ICST Uncertainty-Driven Black-Box Test Data Generation
NeilWalkinshaw.html
GordonFraser.html
http___dx.doi.org_10.1109_ICST.2017.30 http://dx.doi.org/10.1109/ICST.2017.30
Wallis:2018:ReaLX Process Fuzzing as an Approach to Genetic Programming
TomWallis.html
TimStorer.html
http___nbn-resolving.de_urn_nbn_de_0074-2151-7 http://nbn-resolving.de/urn:nbn:de:0074-2151-7
http___ceur-ws.org_Vol-2151_Paper_S3.pdf http://ceur-ws.org/Vol-2151/Paper_S3.pdf
https___github.com_twsswt_pydysofu https://github.com/twsswt/pydysofu
walsh:1996:Paragen Paragen: A Novel Technique for the Autoparallelisation of Sequential Programs using Genetic Programming
PaulJWalsh.html
ConorRyan.html
http___cognet.mit.edu_sites_default_files_books_9780262315876_pdfs_9780262315876_chap56.pdf http://cognet.mit.edu/sites/default/files/books/9780262315876/pdfs/9780262315876_chap56.pdf
http___cognet.mit.edu_library_books_view_isbn_0262611279 http://cognet.mit.edu/library/books/view?isbn=0262611279
walsh:1998:epfp Evolving Pure Functional Programs
PaulJWalsh.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_gp1998_walsh_1998_epfp.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/gp1998/walsh_1998_epfp.pdf
walsh:1999:AFSFESIHLP A Functional Style and Fitness Evaluation Scheme for Inducting High Level Programs
PaulJWalsh.html
http___gpbib.cs.ucl.ac.uk_gecco1999_GP-455.pdf http://gpbib.cs.ucl.ac.uk/gecco1999/GP-455.pdf
http___gpbib.cs.ucl.ac.uk_gecco1999_GP-455.ps http://gpbib.cs.ucl.ac.uk/gecco1999/GP-455.ps
walsh:1999:APEAHPI A Parallel Evolutionary Algorithm for High-Level Program Induction
PaulJWalsh.html
http___dx.doi.org_10.1109_CEC.1999.782536 http://dx.doi.org/10.1109/CEC.1999.782536
Walters:1994:GERM Genetically Evolved Receptor Models (GERM): A Computational Approach to Construction of Receptor Models
DEricWalters.html
RMichaelHinds.html
http___dx.doi.org_10.1021_jm00042a006 http://dx.doi.org/10.1021/jm00042a006
Waltz:2006:IS AI's 10 to Watch
DavidLWaltz.html
http___dx.doi.org_10.1109_MIS.2006.40 http://dx.doi.org/10.1109/MIS.2006.40
Waltz:2009:science Automating Science
DavidLWaltz.html
BruceGBuchanan.html
http___dx.doi.org_10.1126_science.1172781 http://dx.doi.org/10.1126/science.1172781
Wan:2023:SJ A Hybrid Genetic Expression Programming and Genetic Algorithm (GEP-GA) of Auto-Modeling Electrical Equivalent Circuit for Particle Structure Measurement With Electrochemical Impedance Spectroscopy (EIS)
JianfenWan.html
HongrunYin.html
KaiLiu.html
ChengjunZhu.html
XiaoxiangGuan.html
JiafengYao.html
http___dx.doi.org_10.1109_JSEN.2021.3106160 http://dx.doi.org/10.1109/JSEN.2021.3106160
wan:2011:EuroGP Novel Loop Structures and the Evolution of Mathematical Algorithms
MingxuWan.html
ThomasWeise.html
KeTang.html
http___dx.doi.org_10.1007_978-3-642-20407-4_5 http://dx.doi.org/10.1007/978-3-642-20407-4_5
Wang:2013:DEXA Genetic Programming with Greedy Search for Web Service Composition
AnqiWang.html
HuiMa.html
MengjieZhang.html
http___dx.doi.org_10.1007_978-3-642-40173-2_2 http://dx.doi.org/10.1007/978-3-642-40173-2_2
Wang:2019:SMILE Autometic Generation of Dispatching Rule for Hybrid Flow Shop Scheduling based on Genetic Programming
BailinWang.html
YuzhuoLiu.html
LiyingHao.html
http___dx.doi.org_10.1109_SMILE45626.2019.8965274 http://dx.doi.org/10.1109/SMILE45626.2019.8965274
Wang:2015:CEC A Multi-objective Genetic Programming Approach to Uncover Explicit and Implicit Equations from Data
BingWang.html
HemantSingh.html
TapabrataRay.html
http___dx.doi.org_10.1109_CEC.2015.7257016 http://dx.doi.org/10.1109/CEC.2015.7257016
WANG:2022:jmst Symbolic regression in materials science via dimension-synchronous-computation
ChangxinWang.html
YanZhang.html
ChengWen.html
MingliYang.html
TurabLookman.html
YanjingSu.html
Tong-YiZhang.html
http___dx.doi.org_10.1016_j.jmst.2021.12.052 http://dx.doi.org/10.1016/j.jmst.2021.12.052
https___www.sciencedirect.com_science_article_pii_S1005030222002055 https://www.sciencedirect.com/science/article/pii/S1005030222002055
conf/icsi/WangMZZZ14 Co-evolutionary Gene Expression Programming and Its Application in Wheat Aphid Population Forecast Modelling
Chao-xueWang.html
Chun-senMa.html
XingZhang.html
KaiZhang.html
WumeiZhu.html
http___dx.doi.org_10.1007_978-3-319-11857-4 http://dx.doi.org/10.1007/978-3-319-11857-4
conf/bmei/WangZWM15 An improved gene expression programming algorithm based on hybrid strategy
Chao-xueWang.html
Jing-jingZhang.html
Shu-lingWu.html
Chun-senMa.html
http___ieeexplore.ieee.org_xpl_mostRecentIssue.jsp_punumber_7394813 http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=7394813
http___dx.doi.org_10.1109_BMEI.2015.7401582 http://dx.doi.org/10.1109/BMEI.2015.7401582
journals/informaticaSI/WangZWZT17 An Improved Gene Expression Programming Based on Niche Technology of Outbreeding Fusion
Chao-xueWang.html
Jing-jingZhang.html
Shu-lingWu.html
FanZhang.html
JolandaGTromp.html
http___www.informatica.si_index.php_informatica_article_view_1593 http://www.informatica.si/index.php/informatica/article/view/1593
http___www.informatica.si_index.php_informatica_article_view_1593_960 http://www.informatica.si/index.php/informatica/article/view/1593/960
Wang:2017:SEAL GP-Based Approach to Comprehensive Quality-Aware Automated Semantic Web Service Composition
ChenWang.html
HuiMa.html
AaronChen.html
SvenHartmann.html
https___doi.org_10.1007_978-3-319-68759-9_15 https://doi.org/10.1007/978-3-319-68759-9_15
http___dx.doi.org_10.1007_978-3-319-68759-9_15 http://dx.doi.org/10.1007/978-3-319-68759-9_15
Wang:2023:evoapplications Energy-Aware Dynamic Resource Allocation in Container-Based Clouds via Cooperative Coevolution Genetic Programming
ChenWang.html
HuiMa.html
AaronChen.html
VictoriaHuang.html
YongboYu.html
KameronChristopher.html
http___dx.doi.org_10.1007_978-3-031-30229-9_35 http://dx.doi.org/10.1007/978-3-031-30229-9_35
Wang:2009:ICIII Application of Genetic Programming to Prediction of Rural Labor Migration
DongpingWang.html
JianqiangPeng.html
ZhenYan.html
http___dx.doi.org_10.1109_ICIII.2009.353 http://dx.doi.org/10.1109/ICIII.2009.353
Wang:2011:FASE Evolving a Test Oracle in Black-Box Testing
FarnWang.html
Jung-HsuanWu.html
Chung-HaoHuang.html
Kai-HsiangChang.html
http___dx.doi.org_10.1007_978-3-642-19811-3_22 http://dx.doi.org/10.1007/978-3-642-19811-3_22
Wang:2005:ICNNB Multi-objective Adaptive Scheme for Analog Circuit Design Based on Two-layer Genetic Programming
FengWang.html
YuanxiangLi.html
http___dx.doi.org_10.1109_ICNNB.2005.1614614 http://dx.doi.org/10.1109/ICNNB.2005.1614614
FengWang:2002:ZRB Extracting and Optimizing Sound Features in Mechanical Fault Diagnosis Using Genetic Programming
FengWang.html
LiangshengQu.html
http___en.cnki.com.cn_Article_en_CJFDTotal-XAJT200212024.htm http://en.cnki.com.cn/Article_en/CJFDTotal-XAJT200212024.htm
Wang:2006:MLC Analog Circuit Design Automation Using Neural Network-Based Two-Level Genetic Programming
FengWang.html
YuanxiangLi.html
http___dx.doi.org_10.1109_ICMLC.2006.258348 http://dx.doi.org/10.1109/ICMLC.2006.258348
Wang:2007:AMC Automated analog circuit design using two-layer genetic programming
FengWang.html
YuanxiangLi.html
LiLi.html
KangshunLi.html
http___dx.doi.org_10.1016_j.amc.2006.07.029 http://dx.doi.org/10.1016/j.amc.2006.07.029
Wang14:2008:cec A New Circuit Representation Method for Analog Circuit Design Automation
FengWang.html
YuanxiangLi.html
KangshunLi.html
ZhiyiLin.html
http___dx.doi.org_10.1109_CEC.2008.4631059 http://dx.doi.org/10.1109/CEC.2008.4631059
Wang:2010:YC-ICT AdaGP-Rank: Applying boosting technique to genetic programming for learning to rank
FengWang2.html
XinshunXu.html
http___dx.doi.org_10.1109_YCICT.2010.5713094 http://dx.doi.org/10.1109/YCICT.2010.5713094
Gongtao_Wang:thesis Application of genetic programming and artificial neural networks to improve engineering optimization
GongtaoWang.html
http___search.proquest.com_docview_304558089 http://search.proquest.com/docview/304558089
Wang:2022:IMCEC A Method for Predicting the Remaining Useful Life of Bearings Based on Genetic Programming
GuanWang.html
ShaoliangHu.html
BowenFeng.html
HuiminLiu.html
ZhibingZhu.html
http___dx.doi.org_10.1109_IMCEC55388.2022.10019961 http://dx.doi.org/10.1109/IMCEC55388.2022.10019961
Wang:2020:Biophotonics Rapid identification of human ovarian cancer in second harmonic generation images using radiomics feature analyses and tree-based pipeline optimization tool
GuangxingWang.html
YangSun.html
YoutingChen.html
QiqiGao.html
DongqingPeng.html
HongxinLin.html
ZhenlinZhan.html
ZhiyiLiu.html
ShuangmuZhuo.html
http___dx.doi.org_10.1002_jbio.202000050 http://dx.doi.org/10.1002/jbio.202000050
WANG:2020:enggeo High performance prediction of soil compaction parameters using multi expression programming
Han-LinWang.html
Zhen-YuYin.html
http___dx.doi.org_10.1016_j.enggeo.2020.105758 http://dx.doi.org/10.1016/j.enggeo.2020.105758
http___www.sciencedirect.com_science_article_pii_S0013795220305810 http://www.sciencedirect.com/science/article/pii/S0013795220305810
conf/iconip/WangLL17a A Genetic Programming Based ECOC Algorithm for Microarray Data Classification
Han-RuiWang.html
Ke-SenLi.html
Kun-HongLiu.html
http___dx.doi.org_10.1007_978-3-319-70136-3_72 http://dx.doi.org/10.1007/978-3-319-70136-3_72
Wang:2007:CIBCB Inference of Gene Regulatory Networks using S-System: A Unified Approach
HaixinWang.html
LijunQian.html
EdwardRDougherty.html
http___old.pvamu.edu_edir_lijun_files_papers_CIBCB2007.pdf http://old.pvamu.edu/edir/lijun/files/papers/CIBCB2007.pdf
Wang:2006:GENSIPS Inference of gene regulatory networks using genetic programming and Kalman filter
HaixinWang.html
LijunQian.html
EdwardRDougherty.html
http___old.pvamu.edu_edir_lijun_files_papers_Qian-Gensips2006.pdf http://old.pvamu.edu/edir/lijun/files/papers/Qian-Gensips2006.pdf
http___dx.doi.org_10.1109_GENSIPS.2006.353139 http://dx.doi.org/10.1109/GENSIPS.2006.353139
Wang:2007:ICNC Modeling Genetic Regulatory Networks by Sigmoidal Functions: A Joint Genetic Algorithm and Kalman Filtering Approach
HaixinWang.html
LijunQian.html
EdwardRDougherty.html
http___old.pvamu.edu_edir_lijun_files_papers_ICNC2007.pdf http://old.pvamu.edu/edir/lijun/files/papers/ICNC2007.pdf
http___dx.doi.org_10.1109_ICNC.2007.478 http://dx.doi.org/10.1109/ICNC.2007.478
Wang:2010:ietSB Inference of gene regulatory networks using S-system: a unified approach
HaixinWang.html
LijunQian.html
EdwardRDougherty.html
http___wanghaixin.com_papers_ssystem.pdf http://wanghaixin.com/papers/ssystem.pdf
http___dx.doi.org_10.1049_iet-syb.2008.0175 http://dx.doi.org/10.1049/iet-syb.2008.0175
Wang:2019:CEC Hyper-Parameter Optimization for Improving the Performance of Grammatical Evolution
HaoWang2.html
YitanLou.html
ThomasBack.html
http___dx.doi.org_10.1109_CEC.2019.8790026 http://dx.doi.org/10.1109/CEC.2019.8790026
Wang:ieeeACC Application of Improved Genetic Programming for Feature Extraction in the Evaluation of Bearing Performance Degradation
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GuangmingDong.html
JinChen.html
http___dx.doi.org_10.1109_ACCESS.2020.3019439 http://dx.doi.org/10.1109/ACCESS.2020.3019439
Wang:2016:ICWS Identification of Web Service Refactoring Opportunities as a Multi-objective Problem
HanzhangWang.html
AliOuni.html
MarouaneKessentini.html
BruceRMaxim.html
WilliamIGrosky.html
http___dx.doi.org_10.1109_ICWS.2016.81 http://dx.doi.org/10.1109/ICWS.2016.81
Wang:2012:WI-IAT Causal Graph Based Dynamic Optimization of Hierarchies for Factored MDPs
HongbingWang.html
JiancaiZhou.html
XuanZhou.html
http___dx.doi.org_10.1109_WI-IAT.2012.59 http://dx.doi.org/10.1109/WI-IAT.2012.59
DBLP:journals/jsjkx/WangC16a Chinese Stock Market Efficiency Testing Based on Genetic Programming
HongxiaWang.html
BoCao.html
https___doi.org_10.11896_j.issn.1002-137X.2016.6A.128 https://doi.org/10.11896/j.issn.1002-137X.2016.6A.128
http___dx.doi.org_10.11896_j.issn.1002-137X.2016.6A.128 http://dx.doi.org/10.11896/j.issn.1002-137X.2016.6A.128
https___dblp.org_rec_journals_jsjkx_WangC16a.bib https://dblp.org/rec/journals/jsjkx/WangC16a.bib
journals/tsmc/WangFTG05 Knowledge interaction with genetic programming in mechatronic systems design using bond graphs
JiachuanWang.html
ZhunFan.html
JanisPTerpenny.html
ErikGoodman.html
http___dx.doi.org_10.1109_TSMCC.2004.841915 http://dx.doi.org/10.1109/TSMCC.2004.841915
Wang:2017:ISCID Genetic Programming Based ECOC for Multiclass Microarray Data Classification
JiaJunWang.html
Kun-HongLiu.html
MengXinSun.html
QingQiHong.html
http___dx.doi.org_10.1109_ISCID.2017.75 http://dx.doi.org/10.1109/ISCID.2017.75
wang:2003:IFSGP Influences of Function Sets in Genetic Programming
Jen-ShiangWang.html
wang:gecco03lbp Integrated Active and Passive Mechatronic System Design Using Bond Graphs and Genetic Programming
JiachuanWang.html
JanisPTerpenny.html
Jiachuan_Wang:thesis Integrated coevolutionary synthesis of mechatronic systems using bond graphs
JiachuanWang.html
http___scholarworks.umass.edu_dissertations_AAI3152758_ http://scholarworks.umass.edu/dissertations/AAI3152758/
http___search.proquest.com_docview_305175569 http://search.proquest.com/docview/305175569
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JiachuanWang.html
ZhunFan.html
JanisPTerpenny.html
ErikGoodman.html
http___dx.doi.org_10.1017_S0890060408000152 http://dx.doi.org/10.1017/S0890060408000152
Wang:2015:icfcst The Dynamic Evaluation Strategy for Evolvable Hardware
JieWang.html
JiweiLiu.html
BinFeng.html
GangHou.html
http___dx.doi.org_10.1109_FCST.2015.35 http://dx.doi.org/10.1109/FCST.2015.35
Wang:2020:DSA A Real-Time Fault Location Mechanism Combining CGP Code and Deep Learning
JieWang.html
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JunjieKang.html
GangHou.html
KuanjiuZhou.html
ChiLin.html
http___dx.doi.org_10.1109_DSA.2019.00047 http://dx.doi.org/10.1109/DSA.2019.00047
Wang:2008:IETcdt Design and implementation of a virtual reconfigurable architecture for different applications of intrinsic evolvable hardware
JinWang.html
QiaoSongChen.html
ChongHoLee.html
http___dx.doi.org_10.1049_iet-cdt_20070124 http://dx.doi.org/10.1049/iet-cdt:20070124
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PhoenixJinfengWang.html
Kin-HongLee.html
Kwong-SakLeung.html
http___dx.doi.org_10.1109_ICTAI.2006.45 http://dx.doi.org/10.1109/ICTAI.2006.45
Wang:2010:gecco A novel genetic programming based morphological image analysis algorithm
JunWang2.html
YingTan.html
http___dx.doi.org_10.1145_1830483.1830659 http://dx.doi.org/10.1145/1830483.1830659
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JunWang2.html
YingTan.html
http___dx.doi.org_10.1007_978-3-642-21515-5_65 http://dx.doi.org/10.1007/978-3-642-21515-5_65
Wang:2011:GECCO Morphological image enhancement procedure design by using genetic programming
JunWang2.html
YingTan.html
http___dx.doi.org_10.1145_2001576.2001769 http://dx.doi.org/10.1145/2001576.2001769
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KunWang.html
VinhBui.html
HusseinAAbbass.html
http___dx.doi.org_10.1007_978-3-642-17298-4 http://dx.doi.org/10.1007/978-3-642-17298-4
http___dx.doi.org_10.1007_978-3-642-17298-4_14 http://dx.doi.org/10.1007/978-3-642-17298-4_14
Wang:2023:TVT Channel Prediction Using Ordinary Differential Equations for MIMO systems
LeiWang.html
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JiangXue.html
Kat-KitWong.html
http___dx.doi.org_10.1109_TVT.2022.3211661 http://dx.doi.org/10.1109/TVT.2022.3211661
Wang:2017:ieeeTIM Gas-Liquid Two-Phase Flow Measurement Using Coriolis Flowmeters Incorporating Artificial Neural Network, Support Vector Machine, and Genetic Programming Algorithms
LijuanWang.html
JinyuLiu.html
YongYan.html
XueWang.html
TaoWang.html
http___dx.doi.org_10.1109_TIM.2016.2634630 http://dx.doi.org/10.1109/TIM.2016.2634630
Wang:1999:BS Surface-based DNA computing operations: DESTROY and READOUT
LimanWang.html
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AnthonyGFrutos.html
SusanDGillmor.html
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ToddStrother.html
AnneECondon.html
RobertMCorn.html
MaxGLagally.html
LloydMSmith.html
http___dx.doi.org_10.1016_S0303-2647_99_00046-5 http://dx.doi.org/10.1016/S0303-2647(99)00046-5
Wang:2015:ieeeTEC Building Image Feature Kinetics for Cement Hydration using Gene Expression Programming with Similarity Weight Tournament Selection
LinWang.html
BoYang.html
ShoudeWang.html
ZhifengLiang.html
http___ieeexplore.ieee.org_stamp_stamp.jsp_tp__arnumber_6948258 http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6948258
http___dx.doi.org_10.1109_TEVC.2014.2367111 http://dx.doi.org/10.1109/TEVC.2014.2367111
Wang:2016:CEC Discovering Grid-Cell Models Through Evolutionary Computation
LinWang.html
BoYang.html
JeffOrchard.html
http___dx.doi.org_10.1109_CEC.2016.7744388 http://dx.doi.org/10.1109/CEC.2016.7744388
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LinWang.html
JeffOrchard.html
BoYang.html
AjithAbraham.html
http___dx.doi.org_10.1109_SMC.2016.7844278 http://dx.doi.org/10.1109/SMC.2016.7844278
http___ieeexplore.ieee.org_xpl_mostRecentIssue.jsp_punumber_7830913 http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=7830913
Wang:2009:cec Genetic Network Programming with Rule Accumulation Considering Judgment Order
LutaoWang.html
ShingoMabu.html
FengmingYe.html
KotaroHirasawa.html
http___dx.doi.org_10.1109_CEC.2009.4983346 http://dx.doi.org/10.1109/CEC.2009.4983346
Wang:2010:cec Genetic Network Programming with generalized rule accumulation
LutaoWang.html
ShingoMabu.html
QingBiaoMeng.html
KotaroHirasawa.html
http___dx.doi.org_10.1109_CEC.2010.5586284 http://dx.doi.org/10.1109/CEC.2010.5586284
Wang:2009:ICCAS-SICE Rule Accumulation Method with Modified Fitness Function based on Genetic Network Programming
LutaoWang.html
ShingoMabu.html
FengmingYe.html
KotaroHirasawa.html
http___ieeexplore.ieee.org_search_srchabstract.jsp_tp__arnumber_5334897 http://ieeexplore.ieee.org/search/srchabstract.jsp?tp=&arnumber=5334897
Wang:2011:GNPwURA Genetic Network Programming with Updating Rule Accumulation
LutaoWang.html
ShingoMabu.html
KotaroHirasawa.html
http___dx.doi.org_10.1109_CEC.2011.5949895 http://dx.doi.org/10.1109/CEC.2011.5949895
Wang:2012:CECd Rule Accumulation Method Based on Credit Genetic Network Programming
LutaoWang.html
WeiXu.html
ShingoMabu.html
KotaroHirasawa.html
http___dx.doi.org_10.1109_CEC.2012.6253004 http://dx.doi.org/10.1109/CEC.2012.6253004
LutaoWang:thesis Genetic Network Programming Based Rule Accumulation for Agent Control
LutaoWang.html
http___hdl.handle.net_2065_40059 http://hdl.handle.net/2065/40059
https___irdb.nii.ac.jp_en_00835_0002067653 https://irdb.nii.ac.jp/en/00835/0002067653
http___dspace.wul.waseda.ac.jp_dspace_bitstream_2065_40059_1_Honbun-6141.pdf http://dspace.wul.waseda.ac.jp/dspace/bitstream/2065/40059/1/Honbun-6141.pdf
http___dspace.wul.waseda.ac.jp_dspace_bitstream_2065_40059_2_Shinsa-6141.pdf http://dspace.wul.waseda.ac.jp/dspace/bitstream/2065/40059/2/Shinsa-6141.pdf
http___dspace.wul.waseda.ac.jp_dspace_bitstream_2065_40059_3_Gaiyo-6141.pdf http://dspace.wul.waseda.ac.jp/dspace/bitstream/2065/40059/3/Gaiyo-6141.pdf
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NingboWang.html
CongboLi.html
WeiLi.html
MingliHuang.html
DongfengQi.html
http___dx.doi.org_10.1016_j.applthermaleng.2021.116932 http://dx.doi.org/10.1016/j.applthermaleng.2021.116932
https___www.sciencedirect.com_science_article_pii_S1359431121003793 https://www.sciencedirect.com/science/article/pii/S1359431121003793
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PengWang.html
XiaopingHu.html
MeipingWu.html
HuaMu.html
LeiDeng.html
http___ieeexplore.ieee.org_xpl_mostRecentIssue.jsp_punumber_6811386 http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=6811386
http___dx.doi.org_10.1109_ICNC.2013.6818069 http://dx.doi.org/10.1109/ICNC.2013.6818069
wang:2022:AI Niching-Assisted Genetic Programming for Finding Multiple High-Quality Classifiers
PengWang2.html
BingXue.html
JingLiang.html
MengjieZhang.html
http___link.springer.com_chapter_10.1007_978-3-031-22695-3_20 http://link.springer.com/chapter/10.1007/978-3-031-22695-3_20
http___dx.doi.org_10.1007_978-3-031-22695-3_20 http://dx.doi.org/10.1007/978-3-031-22695-3_20
wang:2010:ICCI Using GP to Evolve Decision Rules for Classification in Financial Data Sets
PuWang.html
EdwardPKTsang.html
ThomasWeise.html
KeTang.html
XinYao.html
http___www.it-weise.de_documents_files_WTWTY2010UGPTEDRFCIFDS.pdf http://www.it-weise.de/documents/files/WTWTY2010UGPTEDRFCIFDS.pdf
http___home.ustc.edu.cn__wuyou308_publications_paper1.pdf http://home.ustc.edu.cn/~wuyou308/publications/paper1.pdf
http___dx.doi.org_10.1109_COGINF.2010.5599820 http://dx.doi.org/10.1109/COGINF.2010.5599820
Wang:2011:AMGPwDTLSfCP A Memetic Genetic Programming with Decision Tree-based Local Search for Classification Problems
PuWang.html
KeTang.html
EdwardPKTsang.html
XinYao.html
http___dx.doi.org_10.1109_CEC.2011.5949716 http://dx.doi.org/10.1109/CEC.2011.5949716
Wang:2013:Neurocomputing Multiobjective genetic programming for maximizing ROC performance
PuWang.html
KeTang.html
ThomasWeise.html
EdwardPKTsang.html
XinYao.html
http___home.ustc.edu.cn__wuyou308_doc_mogp.pdf http://home.ustc.edu.cn/~wuyou308/doc/mogp.pdf
http___dx.doi.org_10.1016_j.neucom.2012.06.054 http://dx.doi.org/10.1016/j.neucom.2012.06.054
http___www.sciencedirect.com_science_article_pii_S0925231213001938 http://www.sciencedirect.com/science/article/pii/S0925231213001938
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PuWang.html
MichaelEmmerich.html
RuiLi.html
KeTang.html
ThomasBack.html
XinYao.html
http___arxiv.org_abs_1303.3145 http://arxiv.org/abs/1303.3145
PuWang:thesis
PuWang.html
Wang:2014:ieeeEC Convex Hull-Based Multi-objective Genetic Programming for Maximizing Receiver Operating Characteristic Performance
PuWang.html
MichaelEmmerich.html
RuiLi.html
KeTang.html
ThomasBack.html
XinYao.html
http___dx.doi.org_10.1109_TEVC.2014.2305671 http://dx.doi.org/10.1109/TEVC.2014.2305671
Wang:2011:ICICIS Evolving Computing and Automatic Programming
QingchunWang.html
AishuWang.html
http___dx.doi.org_10.1109_ICICIS.2011.61 http://dx.doi.org/10.1109/ICICIS.2011.61
Wang:2020:CASE Formulation and Methods for a Class of Two-stage Flow-shop Scheduling Problem with the Batch Processor
RunsenWang.html
YilanShen.html
WeihaoWang.html
LeyuanShi.html
http___dx.doi.org_10.1109_CASE48305.2020.9216748 http://dx.doi.org/10.1109/CASE48305.2020.9216748
Wang:2019:GECCOb Novel Ensemble Genetic Programming Hyper-Heuristics for Uncertain Capacitated Arc Routing Problem
ShaolinWang.html
YiMei.html
MengjieZhang.html
http___dx.doi.org_10.1145_3321707.3321797 http://dx.doi.org/10.1145/3321707.3321797
Wang:2019:SSCI A Two-Stage Genetic Programming Hyper-Heuristic for Uncertain Capacitated Arc Routing Problem
ShaolinWang.html
YiMei.html
JohnPark.html
MengjieZhang.html
http___dx.doi.org_10.1109_SSCI44817.2019.9002912 http://dx.doi.org/10.1109/SSCI44817.2019.9002912
Wang:2020:SSCI Towards Interpretable Routing Policy: A Two Stage Multi-Objective Genetic Programming Approach with Feature Selection for Uncertain Capacitated Arc Routing Problem
ShaolinWang.html
YiMei.html
MengjieZhang.html
http___dx.doi.org_10.1109_SSCI47803.2020.9308588 http://dx.doi.org/10.1109/SSCI47803.2020.9308588
Wang:2020:CEC A Multi-Objective Genetic Programming Hyper-Heuristic Approach to Uncertain Capacitated Arc Routing Problems
ShaolinWang.html
YiMei.html
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http___dx.doi.org_10.1109_CEC48606.2020.9185890 http://dx.doi.org/10.1109/CEC48606.2020.9185890
Wang:2021:GECCO Two-Stage Multi-Objective Genetic Programming with Archive for Uncertain Capacitated Arc Routing Problem
ShaolinWang.html
YiMei.html
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http___dx.doi.org_10.1145_3449639.3459298 http://dx.doi.org/10.1145/3449639.3459298
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YiMei.html
MengjieZhang.html
XinYao.html
http___dx.doi.org_10.1109_TEVC.2021.3095261 http://dx.doi.org/10.1109/TEVC.2021.3095261
Wang:2021:CEC A Multi-Objective Genetic Programming Approach with Self-Adaptive alpha Dominance to Uncertain Capacitated Arc Routing Problem
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http___dx.doi.org_10.1109_CEC45853.2021.9504956 http://dx.doi.org/10.1109/CEC45853.2021.9504956
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YiMei.html
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https___doi.org_10.1109_SSCI50451.2021.9660154 https://doi.org/10.1109/SSCI50451.2021.9660154
http___dx.doi.org_10.1109_SSCI50451.2021.9660154 http://dx.doi.org/10.1109/SSCI50451.2021.9660154
https___dblp.org_rec_conf_ssci_WangMZ21.bib https://dblp.org/rec/conf/ssci/WangMZ21.bib
wang:2022:GECCO2 Local Ranking Explanation for Genetic Programming Evolved Routing Policies for Uncertain Capacitated Arc Routing Problems
ShaolinWang.html
YiMei.html
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http___dx.doi.org_10.1145_3512290.3528723 http://dx.doi.org/10.1145/3512290.3528723
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YiMei.html
MengjieZhang.html
http___dx.doi.org_10.1109_TEVC.2022.3195165 http://dx.doi.org/10.1109/TEVC.2022.3195165
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YiMei.html
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http___dx.doi.org_10.1109_TEVC.2023.3238741 http://dx.doi.org/10.1109/TEVC.2023.3238741
Wang:2019:AWM Generalized reference evapotranspiration models with limited climatic data based on random forest and gene expression programming in Guangxi, China
ShengWang.html
JinjiaoLian.html
Yu-zhongPeng.html
BaoqingHu.html
HongsongChen.html
https___www.sciencedirect.com_science_article_pii_S0378377419305499 https://www.sciencedirect.com/science/article/pii/S0378377419305499
http___dx.doi.org_10.1016_j.agwat.2019.03.027 http://dx.doi.org/10.1016/j.agwat.2019.03.027
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ShixianWang.html
YuehuiChen.html
PengWu.html
http___dx.doi.org_10.1007_978-3-642-04020-7_106 http://dx.doi.org/10.1007/978-3-642-04020-7_106
Wang:2011:ICNC Function Sequence Genetic Programming for pattern classification
ShixianWang.html
QingjieZhao.html
YuehuiChen.html
PengWu.html
http___dx.doi.org_10.1109_ICNC.2011.6022170 http://dx.doi.org/10.1109/ICNC.2011.6022170
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ShuaiqiangWang.html
JunMa.html
JimingLiu.html
http___dx.doi.org_10.1145_1645953.1646254 http://dx.doi.org/10.1145/1645953.1646254
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ShuaiqiangWang.html
JunMa.html
QiangHe.html
http___www.sciencedirect.com_science_article_B6V03-4YDT3VY-1_2_5d51ce9997fad3e696db420a8662f16f http://www.sciencedirect.com/science/article/B6V03-4YDT3VY-1/2/5d51ce9997fad3e696db420a8662f16f
http___dx.doi.org_10.1016_j.eswa.2010.02.019 http://dx.doi.org/10.1016/j.eswa.2010.02.019
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ShuaiqiangWang.html
JunMa.html
JimingLiu.html
XiaofeiNiu.html
http___www.sciencedirect.com_science_article_B6V0F-50K5T29-1_2_9ef3031afe03a6d15f2f0a468fca26ec http://www.sciencedirect.com/science/article/B6V0F-50K5T29-1/2/9ef3031afe03a6d15f2f0a468fca26ec
http___dx.doi.org_10.1016_j.ipl.2010.07.014 http://dx.doi.org/10.1016/j.ipl.2010.07.014
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ShuaiqiangWang.html
ByronJGao.html
KeWang.html
HadyWLauw.html
http___doi.acm.org_10.1145_2009916.2010060 http://doi.acm.org/10.1145/2009916.2010060
http___dx.doi.org_10.1145_2009916.2010060 http://dx.doi.org/10.1145/2009916.2010060
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ShuaiqiangWang.html
ByronJGao.html
KeWang.html
HadyWLauw.html
http___www.aaai.org_ocs_index.php_AAAI_AAAI11_paper_view_3563 http://www.aaai.org/ocs/index.php/AAAI/AAAI11/paper/view/3563
http___www.aaai.org_ocs_index.php_AAAI_AAAI11_paper_view_3563_4060.pdf http://www.aaai.org/ocs/index.php/AAAI/AAAI11/paper/view/3563/4060.pdf
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ShuaiqiangWang.html
ByronJGao.html
ShuanglingWang.html
GuibaoCao.html
YilongYin.html
http___dx.doi.org_10.1145_2396761.2398616 http://dx.doi.org/10.1145/2396761.2398616
Wang:2015:ieeeKDE A Cooperative Coevolution Framework for Parallel Learning to Rank
ShuaiqiangWang.html
YunWu.html
ByronJGao.html
KeWang.html
HadyWLauw.html
JunMa.html
http___dx.doi.org_10.1109_TKDE.2015.2453952 http://dx.doi.org/10.1109/TKDE.2015.2453952
Wang:2018:FCS Polygene-based evolutionary algorithms with frequent pattern mining
ShuaiqiangWang.html
YilongYin.html
https___link.springer.com_article_10.1007_s11704-016-6104-3 https://link.springer.com/article/10.1007/s11704-016-6104-3
http___dx.doi.org_10.1007_s11704-016-6104-3 http://dx.doi.org/10.1007/s11704-016-6104-3
SichunWang:2005:JCRD Stability Analysis of Multiobjective Decision Functions Based on GP
SichunWang.html
TaishanZhang.html
ZhiyunYin.html
ChuwenZhang.html
http___219.238.6.200_article_code_crad20050806_jccode_58 http://219.238.6.200/article?code=crad20050806&jccode=58
http___dx.doi.org_10.1360_crad20050806 http://dx.doi.org/10.1360/crad20050806
Wang:2009:BIFE A Constructive Method of Multicriteria Decision Functions Based on GP Algorithm
SichunWang.html
http___dx.doi.org_10.1109_BIFE.2009.36 http://dx.doi.org/10.1109/BIFE.2009.36
Wang:2009:ICICTA Solving the Optimal Solution of Weight Vectors on GP-Decision Tree
SichunWang.html
http___dx.doi.org_10.1109_ICICTA.2009.795 http://dx.doi.org/10.1109/ICICTA.2009.795
Wang:2010:IEEC A Large-Scale Data Classifying Approach Based on GP
SichunWang.html
YanhuiWu.html
http___dx.doi.org_10.1109_IEEC.2010.5533265 http://dx.doi.org/10.1109/IEEC.2010.5533265
wang:2005:CEC Boolean Genetic Programming for Promoter Recognition in Eukaryotes
SingerXJWang.html
PeterLichodzijewski.html
http___flame.cs.dal.ca__piotr_01554749.pdf http://flame.cs.dal.ca/~piotr/01554749.pdf
http___dx.doi.org_10.1109_CEC.2005.1554749 http://dx.doi.org/10.1109/CEC.2005.1554749
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TinghuaiWang.html
AndrewMansfield.html
RuiHu.html
JohnPCollomosse.html
http___dx.doi.org_10.1109_CVMP.2009.8 http://dx.doi.org/10.1109/CVMP.2009.8
Wang:2008:ICNC Genetic Programming with Rough Sets Theory for Modeling Short-term Load Forecasting
Wen-ChuanWang.html
Chun-TianCheng.html
LinQiu.html
http___dx.doi.org_10.1109_ICNC.2008.141 http://dx.doi.org/10.1109/ICNC.2008.141
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Wen-ChuanWang.html
Kwok-WingChau.html
Chun-TianCheng.html
LinQiu.html
http___dx.doi.org_10.1016_j.jhydrol.2009.06.019 http://dx.doi.org/10.1016/j.jhydrol.2009.06.019
http___www.sciencedirect.com_science_article_B6V6C-4WK48G6-1_2_7cf0d9cf0adb10d24201878b9773ca27 http://www.sciencedirect.com/science/article/B6V6C-4WK48G6-1/2/7cf0d9cf0adb10d24201878b9773ca27
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WeihongWang.html
QuLi.html
ShanshanHan.html
HaiLin.html
http___dx.doi.org_10.1109_ICICIC.2006.22 http://dx.doi.org/10.1109/ICICIC.2006.22
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WeiweiWang.html
RuilianZhao.html
YingShang.html
YongLiu2.html
http___dx.doi.org_10.1007_978-3-319-47106-8_12 http://dx.doi.org/10.1007/978-3-319-47106-8_12
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WeihongWang.html
WenrouLin.html
QuLi.html
http___ieeexplore.ieee.org_xpl_mostRecentIssue.jsp_punumber_6811386 http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=6811386
http___dx.doi.org_10.1109_ICNC.2013.6818191 http://dx.doi.org/10.1109/ICNC.2013.6818191
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WeiwuWang.html
YuanxiangLi.html
ShengwuXiong.html
BojinZheng.html
http___dx.doi.org_10.1109_SKG.2006.55 http://dx.doi.org/10.1109/SKG.2006.55
Wang:2009:ICNC Genetic Programming for Modelling Long-Term Hydrological Time Series
Wen-ChuanWang.html
DongmeiXu.html
LinQiu.html
JianqinMa.html
http___dx.doi.org_10.1109_ICNC.2009.210 http://dx.doi.org/10.1109/ICNC.2009.210
wang:2008:KJCE Synthesis of nonsharp distillation sequences via genetic programming
Xiao-HongWang.html
Yang-DongHu.html
Yu-GangLi.html
http___link.springer.com_article_10.1007_s11814-008-0068-4 http://link.springer.com/article/10.1007/s11814-008-0068-4
http___dx.doi.org_10.1007_s11814-008-0068-4 http://dx.doi.org/10.1007/s11814-008-0068-4
Wang20081908 Synthesis of heat-integrated complex distillation systems via Genetic Programming
Xiao-HongWang.html
Yu-GangLi.html
Yang-DongHu.html
Ying-LongWang.html
http___dx.doi.org_10.1016_j.compchemeng.2007.10.009 http://dx.doi.org/10.1016/j.compchemeng.2007.10.009
http___www.sciencedirect.com_science_article_B6TFT-4R063YH-1_2_ea77b51431d11bd24f1d8983fd44b279 http://www.sciencedirect.com/science/article/B6TFT-4R063YH-1/2/ea77b51431d11bd24f1d8983fd44b279
Wang201045 Stochastic GP synthesis of heat integrated nonsharp distillation sequences
Xiao-HongWang.html
Yu-GangLi.html
http___dx.doi.org_10.1016_j.cherd.2009.06.012 http://dx.doi.org/10.1016/j.cherd.2009.06.012
http___www.sciencedirect.com_science_article_B8JGF-4WT39Y6-1_2_d634c77788b840af602017d1a6ccb5f2 http://www.sciencedirect.com/science/article/B8JGF-4WT39Y6-1/2/d634c77788b840af602017d1a6ccb5f2
WANG:2020:CEPPI Research on the integration process of energy saving distillation-membrane separation based on genetic programming to achieve clean production
Xiao-HongWang.html
Ming-gaoLi.html
Yuan-pengZhang.html
JuanHong.html
Wen-kuiLi.html
XinDing.html
Yu-GangLi.html
http___dx.doi.org_10.1016_j.cep.2020.107885 http://dx.doi.org/10.1016/j.cep.2020.107885
http___www.sciencedirect.com_science_article_pii_S0255270119314059 http://www.sciencedirect.com/science/article/pii/S0255270119314059
XiuqinWang:2008:ICNC Variable Topology Cartesian Genetic Programming for Combinational Circuit
XiuqinWang.html
HaoWang.html
GuangshengMa.html
http___dx.doi.org_10.1109_ICNC.2008.522 http://dx.doi.org/10.1109/ICNC.2008.522
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YanxuWang.html
ZegaoYin.html
YongLiu.html
http___dx.doi.org_10.1016_j.oceaneng.2021.108694 http://dx.doi.org/10.1016/j.oceaneng.2021.108694
https___www.sciencedirect.com_science_article_pii_S0029801821001293 https://www.sciencedirect.com/science/article/pii/S0029801821001293
Wang:2017:JH Physically sound formula for longitudinal dispersion coefficients of natural rivers
Yu-FeiWang.html
Wen-XinHuai.html
Wei-JieWang.html
http___dx.doi.org_10.1016_j.jhydrol.2016.11.058 http://dx.doi.org/10.1016/j.jhydrol.2016.11.058
http___www.sciencedirect.com_science_article_pii_S0022169416307740 http://www.sciencedirect.com/science/article/pii/S0022169416307740
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JunChen.html
HuiCai.html
QianYu.html
ZengZhou.html
http___dx.doi.org_10.1016_j.ecss.2021.107276 http://dx.doi.org/10.1016/j.ecss.2021.107276
https___www.sciencedirect.com_science_article_pii_S0272771421001293 https://www.sciencedirect.com/science/article/pii/S0272771421001293
Wang:2009:WGEC A Fast Motion Vector Estimation Method Based on Color Multidimension Projection
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Xiao-WeiHan.html
Zhong-HuYuan.html
Hong-YingZhao.html
http___dx.doi.org_10.1109_WGEC.2009.136 http://dx.doi.org/10.1109/WGEC.2009.136
wang:2005:UKCI Induction of Decision Trees Using Genetic Programming for the Development of SAR Toxicity Models
XueZhongWang.html
FrancesVBuontempo.html
MulaishoMwense.html
AnitaYoung.html
DanielOsborn.html
http___www.dcs.bbk.ac.uk_ukci05_ukci05proceedings.pdf http://www.dcs.bbk.ac.uk/ukci05/ukci05proceedings.pdf
Wang:2018:ISCID Generation of Dispatching Rules for Hot Rolling Batch Scheduling of Seamless Steel Tube Based on Genetic Programming
YangWang.html
TiekeLi.html
BailinWang.html
http___dx.doi.org_10.1109_ISCID.2018.10183 http://dx.doi.org/10.1109/ISCID.2018.10183
WANG:2020:AMC Prediction of daily PM2.5 concentration in China using data-driven ordinary differential equations
YufangWang.html
HaiyanWang.html
ShuhuaZhang.html
http___dx.doi.org_10.1016_j.amc.2020.125088 http://dx.doi.org/10.1016/j.amc.2020.125088
http___www.sciencedirect.com_science_article_pii_S0096300320300576 http://www.sciencedirect.com/science/article/pii/S0096300320300576
WANG:2017:AOR Numerical study on lateral buckling of pipelines with imperfection and sleeper
ZheWang.html
ZhihuaChen.html
HongboLiu.html
ZechaoZhang.html
http___dx.doi.org_10.1016_j.apor.2017.08.010 http://dx.doi.org/10.1016/j.apor.2017.08.010
http___www.sciencedirect.com_science_article_pii_S0141118717304741 http://www.sciencedirect.com/science/article/pii/S0141118717304741
DBLP:journals/pieee/WangO18 Machine Learning in Compiler Optimization
ZhengWang2.html
MichaelFPO'Boyle.html
https___eprints.lancs.ac.uk_id_eprint_89859_1_main.pdf https://eprints.lancs.ac.uk/id/eprint/89859/1/main.pdf
https___doi.org_10.1109_JPROC.2018.2817118 https://doi.org/10.1109/JPROC.2018.2817118
http___dx.doi.org_10.1109_JPROC.2018.2817118 http://dx.doi.org/10.1109/JPROC.2018.2817118
https___dblp.org_rec_journals_pieee_WangO18.bib https://dblp.org/rec/journals/pieee/WangO18.bib
Wang:2010:CINC A practical technology of combining genetic programming with artificial intelligence
Zhen-chaoWang.html
PeiDu.html
http___dx.doi.org_10.1109_CINC.2010.5643728 http://dx.doi.org/10.1109/CINC.2010.5643728
Wang:2019:CEC3 A GP Based Two-Layer Framework for Data-Driven Modeling of Swarm Self-Organizing Rules
TaoWang3.html
XingguangPeng.html
YapeiWu.html
JianGao.html
http___dx.doi.org_10.1109_CEC.2019.8790126 http://dx.doi.org/10.1109/CEC.2019.8790126
DBLP:conf/misnc/WangJLYC17 Prediction Model of Cervical Spine Disease Established by Genetic Programming
Chen-ShuWang.html
Chun-JungJuan.html
Tung-YaoLin.html
Chun-ChangYeh.html
Shang-YuChiang.html
https___doi.org_10.1145_3092090.3092097 https://doi.org/10.1145/3092090.3092097
http___dx.doi.org_10.1145_3092090.3092097 http://dx.doi.org/10.1145/3092090.3092097
https___dblp.org_rec_conf_misnc_WangJLYC17.bib https://dblp.org/rec/conf/misnc/WangJLYC17.bib
Wang:TEVC Genetic Programming With Flexible Region Detection for Fine-Grained Image Classification
QinyuWang.html
YingBi.html
BingXue.html
MengjieZhang.html
http___dx.doi.org_10.1109_TEVC.2024.3379257 http://dx.doi.org/10.1109/TEVC.2024.3379257
Wang:2024:evoapplications Genetic Programming with Aggregate Channel Features for Flower Localization Using Limited Training Data
QinyuWang.html
YingBi.html
BingXue.html
MengjieZhang.html
https___rdcu.be_dD0js https://rdcu.be/dD0js
http___dx.doi.org_10.1007_978-3-031-56855-8_12 http://dx.doi.org/10.1007/978-3-031-56855-8_12
Wang:2022:ICCT Channel Prediction Using a System of Ordinary Differential Equation
LeiWang.html
GuanzhangLiu.html
JiangXue.html
http___dx.doi.org_10.1109_ICCT56141.2022.10073053 http://dx.doi.org/10.1109/ICCT56141.2022.10073053
1144317 Evolutionary unit testing of object-oriented software using strongly-typed genetic programming
StefanWappler.html
JoachimWegener.html
http___gpbib.cs.ucl.ac.uk_gecco2006_docs_p1925.pdf http://gpbib.cs.ucl.ac.uk/gecco2006/docs/p1925.pdf
http___dx.doi.org_10.1145_1143997.1144317 http://dx.doi.org/10.1145/1143997.1144317
Wappler:2006:CEC Evolutionary Unit Testing Of Object-Oriented Software Using A Hybrid Evolutionary Algorithm
StefanWappler.html
JoachimWegener.html
http___www.systematic-testing.com_documents_WCCI2006_0462.pdf http://www.systematic-testing.com/documents/WCCI2006_0462.pdf
http___dx.doi.org_10.1109_CEC.2006.1688400 http://dx.doi.org/10.1109/CEC.2006.1688400
Wappler:2007:ASE Improving evolutionary class testing in the presence of non-public methods
StefanWappler.html
InaSchieferdecker.html
http___www.systematic-testing.com_documents_ASE07_wappler_Paper.pdf http://www.systematic-testing.com/documents/ASE07_wappler_Paper.pdf
http___dx.doi.org_10.1145_1321631.1321689 http://dx.doi.org/10.1145/1321631.1321689
Wappler:thesis Automatic Generation Of Object-Oriented Unit Tests Using Genetic Programming
StefanWappler.html
http___opus.kobv.de_tuberlin_volltexte_2008_1733_ http://opus.kobv.de/tuberlin/volltexte/2008/1733/
http___opus.kobv.de_tuberlin_volltexte_2008_1733_pdf_wappler_stefan.pdf http://opus.kobv.de/tuberlin/volltexte/2008/1733/pdf/wappler_stefan.pdf
ward:1997:morse A Program to Decode Morse Code Developed with a Genetic Programming Technique
DavidJWard.html
warren:1994:stockpp Stock Price Prediction Using Genetic Programming
MarkAWarren.html
wasiewicz:1997:CITA Genetic programming in optimization of Algorithms
PiotrWasiewicz.html
JanJerzyMulawka.html
http___link.springer.com_chapter_10.1007_3-540-62868-1_171 http://link.springer.com/chapter/10.1007/3-540-62868-1_171
http___dx.doi.org_10.1007_3-540-62868-1_171 http://dx.doi.org/10.1007/3-540-62868-1_171
WM01 Molecular Genetic Programming
PeterWasiewicz.html
JanJerzyMulawka.html
http___dx.doi.org_10.1007_s005000000077 http://dx.doi.org/10.1007/s005000000077
Watanabe:2009:IJCNN Flood forecasting technology with radar-derived rainfall data using Genetic Programming
NaokiWatanabe.html
KazuhikoFukami.html
HitokiImamura.html
KatsukiSonoda.html
SoichiroYamane.html
http___dx.doi.org_10.1109_IJCNN.2009.5178691 http://dx.doi.org/10.1109/IJCNN.2009.5178691
Watchareeruetai:2008:cec Transformation of Redundant Representations of Linear Genetic Programming into Canonical Forms for Efficient Extraction of Image Features
UkritWatchAreeruetai.html
YoshinoriTakeuchi.html
TetsuyaMatsumoto.html
NoboruOhnishi.html
http___dx.doi.org_10.1109_CEC.2008.4631062 http://dx.doi.org/10.1109/CEC.2008.4631062
Watchareeruetai:2008:ieeeSMCIA Improving search performance of linear genetic programming based image recognition program synthesis by redundancy-removed recombination
UkritWatchAreeruetai.html
YoshinoriTakeuchi.html
TetsuyaMatsumoto.html
HiroakiKudo.html
NoboruOhnishi.html
http___dx.doi.org_10.1109_SMCIA.2008.5045996 http://dx.doi.org/10.1109/SMCIA.2008.5045996
series/sci/WatchareeruetaiMTKO09 Efficient Construction of Image Feature Extraction Programs by Using Linear Genetic Programming with Fitness Retrieval and Intermediate-Result Caching
UkritWatchAreeruetai.html
TetsuyaMatsumoto.html
YoshinoriTakeuchi.html
HiroakiKudo.html
NoboruOhnishi.html
http___dx.doi.org_10.1007_978-3-642-01088-0 http://dx.doi.org/10.1007/978-3-642-01088-0
http___dx.doi.org_10.1007_978-3-642-01088-0_15 http://dx.doi.org/10.1007/978-3-642-01088-0_15
Watchareeruetai:2009:SMC Construction of image feature extractors based on multi-objective genetic programming with redundancy regulations
UkritWatchAreeruetai.html
TetsuyaMatsumoto.html
YoshinoriTakeuchi.html
HiroakiKudo.html
NoboruOhnishi.html
http___dx.doi.org_10.1109_ICSMC.2009.5346242 http://dx.doi.org/10.1109/ICSMC.2009.5346242
Watchareeruetai:2009:IS Acceleration of Genetic Programming by Hierarchical Structure Learning: A Case Study on Image Recognition Program Synthesis
UkritWatchAreeruetai.html
TetsuyaMatsumoto.html
NoboruOhnishi.html
HiroakiKudo.html
YoshinoriTakeuchi.html
http___search.ieice.org_bin_summary.php_id_e92-d_10_2094_category_D_year_2009_lang_E_abst_ http://search.ieice.org/bin/summary.php?id=e92-d_10_2094&category=D&year=2009&lang=E&abst=
Watchareeruetai:2010:ieiceTIS Multi-Objective Genetic Programming with Redundancy-Regulations for Automatic Construction of Image Feature Extractors
UkritWatchAreeruetai.html
TetsuyaMatsumoto.html
YoshinoriTakeuchi.html
HiroakiKudo.html
NoboruOhnishi.html
http___search.ieice.org_bin_summary.php_id_e93-d_9_2614 http://search.ieice.org/bin/summary.php?id=e93-d_9_2614
journals/jip/WatchareeruetaiTMKO10 Evaluations of Feature Extraction Programs Synthesized by Redundancy-removed Linear Genetic Programming: A Case Study on the Lawn Weed Detection Problem
UkritWatchAreeruetai.html
YoshinoriTakeuchi.html
TetsuyaMatsumoto.html
HiroakiKudo.html
NoboruOhnishi.html
https___www.jstage.jst.go.jp_article_ipsjjip_18_0_18_0_164__pdf_-char_en https://www.jstage.jst.go.jp/article/ipsjjip/18/0/18_0_164/_pdf/-char/en
http___dx.doi.org_10.2197_ipsjjip.18.164 http://dx.doi.org/10.2197/ipsjjip.18.164
Watchareeruetai:2011:GPEM Redundancies in linear GP, canonical transformation, and its exploitation: a demonstration on image feature synthesis
UkritWatchAreeruetai.html
YoshinoriTakeuchi.html
TetsuyaMatsumoto.html
HiroakiKudo.html
NoboruOhnishi.html
http___dx.doi.org_10.1007_s10710-010-9118-x http://dx.doi.org/10.1007/s10710-010-9118-x
waters:1999:GPCEFALE Genetic Programming and Co-Evolution with Exogenous Fitness in an Artificial Life Environment
MichaelWaters.html
JohnWSheppard.html
http___citeseer.ist.psu.edu_waters99genetic.html http://citeseer.ist.psu.edu/waters99genetic.html
http___dx.doi.org_10.1109_CEC.1999.785471 http://dx.doi.org/10.1109/CEC.1999.785471
Watkinson:2023:GI Updating Gin’s profiler for current Java
MylesWatkinson.html
AlexanderEIBrownlee.html
https___storre.stir.ac.uk_handle_1893_34912 https://storre.stir.ac.uk/handle/1893/34912
http___gpbib.cs.ucl.ac.uk_gi2023_Watkinson_2023_GI.pdf http://gpbib.cs.ucl.ac.uk/gi2023/Watkinson_2023_GI.pdf
http___dx.doi.org_10.1109_GI59320.2023.00015 http://dx.doi.org/10.1109/GI59320.2023.00015
http___gpbib.cs.ucl.ac.uk_gi2023_upgrading_gin.pdf http://gpbib.cs.ucl.ac.uk/gi2023/upgrading_gin.pdf
http___gpbib.cs.ucl.ac.uk_gi2023_upgrading_gin_2023-05-17_10-36-43.mp4 http://gpbib.cs.ucl.ac.uk/gi2023/upgrading_gin_2023-05-17_10-36-43.mp4
https___www.youtube.com_watch_v_nFBVxAs70wU_list_PLI8fiFpB7BoJLh6cUpGBjyeB1hM9DET1V_index_8 https://www.youtube.com/watch?v=nFBVxAs70wU&list=PLI8fiFpB7BoJLh6cUpGBjyeB1hM9DET1V&index=8
watson:1996:ifs Identification Of Fluid Systems Using Genetic Programming
AndrewHWatson.html
IanCParmee.html
http___citeseer.ist.psu.edu_cache_papers_cs_4894_http_zSzzSzwww.bioele.nuee.nagoya-u.ac.jpzSzwec2zSzpaperszSzfileszSzwatson.pdf_watson96identification.pdf http://citeseer.ist.psu.edu/cache/papers/cs/4894/http:zSzzSzwww.bioele.nuee.nagoya-u.ac.jpzSzwec2zSzpaperszSzfileszSzwatson.pdf/watson96identification.pdf
http___citeseer.ist.psu.edu_watson96identification.html http://citeseer.ist.psu.edu/watson96identification.html
Watson:1997:ssGPccc Steady State Genetic Programming With Constrained Complexity Crossover
AndrewHWatson.html
IanCParmee.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_gp1997_Watson_1997_ssGPccc.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/gp1997/Watson_1997_ssGPccc.pdf
Watson:1997:cgtdsGPast Calibrating Gas Turbine Design Software using Genetic Programming and Adaptive Search Techniques
AndrewHWatson.html
watson:1997:ssGPcccssp Steady State Genetic Programming with Constrained Complexity Crossover Using Species Sub Population
AndrewHWatson.html
IanCParmee.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_icga1997_Watson_1997_ssGPccc.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/icga1997/Watson_1997_ssGPccc.pdf
watson:1998:ACDM Improving Engineering Design Models Using An Alternative Genetic Programming Approach
AndrewHWatson.html
IanCParmee.html
http___link.springer.com_chapter_10.1007_978-1-4471-1589-2_15 http://link.springer.com/chapter/10.1007/978-1-4471-1589-2_15
http___dx.doi.org_10.1007_978-1-4471-1589-2_15 http://dx.doi.org/10.1007/978-1-4471-1589-2_15
Watson:thesis An investigation of evolutionary computing in systems identification for preliminary design
AndrewHWatson.html
http___hdl.handle.net_10026.1_1669 http://hdl.handle.net/10026.1/1669
https___ethos.bl.uk_OrderDetails.do_uin_uk.bl.ethos.481293 https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.481293
https___pearl.plymouth.ac.uk_bitstream_handle_10026.1_1669_A.H.Watson.PDF https://pearl.plymouth.ac.uk/bitstream/handle/10026.1/1669/A.H.Watson.PDF
watts:1998:jas Animats: computer-simulated animals in behavioral research
JonMWatts.html
http___jas.fass.org_cgi_reprint_76_10_2596.pdf http://jas.fass.org/cgi/reprint/76/10/2596.pdf
http___jas.fass.org_cgi_reprint_76_10_2596 http://jas.fass.org/cgi/reprint/76/10/2596
wayland:2000:SPAEGP Solving the 5-Tile Puzzle: An Exercise in Genetic Programming
JohnWayland.html
Weatheritt:thesis The Development of Data Driven Approaches to Further Turbulence Closures
JackWeatheritt.html
https___eprints.soton.ac.uk_388092_ https://eprints.soton.ac.uk/388092/
https___eprints.soton.ac.uk_388092_1_Final_2520Thesis.pdf https://eprints.soton.ac.uk/388092/1/Final%2520Thesis.pdf
Weaver:2004:COCB Applying data mining techniques to library design, lead generation and lead optimization
DanielCWeaver.html
http___www.sciencedirect.com_science_article_B6VRX-4CB69R1-2_2_84a354cec9064ed07baab6a07998c942 http://www.sciencedirect.com/science/article/B6VRX-4CB69R1-2/2/84a354cec9064ed07baab6a07998c942
http___dx.doi.org_10.1016_j.cbpa.2004.04.005 http://dx.doi.org/10.1016/j.cbpa.2004.04.005
weck:1999:hmugp Hydrocyclone Model Using Genetic Programming
BarryWeck.html
CharlesLKarr.html
http___www.crcpress.com_product_isbn_9780849398018 http://www.crcpress.com/product/isbn/9780849398018
DBLP:journals/eswa/WedashwaraMOK16 Combination of genetic network programming and knapsack problem to support record clustering on distributed databases
WiraramaWedashwara.html
ShingoMabu.html
MasanaoObayashi.html
TakashiKuremoto.html
https___doi.org_10.1016_j.eswa.2015.10.006 https://doi.org/10.1016/j.eswa.2015.10.006
http___dx.doi.org_10.1016_j.eswa.2015.10.006 http://dx.doi.org/10.1016/j.eswa.2015.10.006
https___dblp.org_rec_journals_eswa_WedashwaraMOK16.bib https://dblp.org/rec/journals/eswa/WedashwaraMOK16.bib
Wedashwara:2019:SIET Internet of Things based Smart Energy Audit using Evolutionary Fuzzy Association Rule Mining
WiraramaWedashwara.html
CandraAhmadi.html
IWayanAgusArimbawa.html
IGedeEkaWiantaraPutra.html
http___dx.doi.org_10.1109_SIET48054.2019.8986148 http://dx.doi.org/10.1109/SIET48054.2019.8986148
Wedashwara:2020:ICADEIS IoT based Smart Small Scale Solar Energy Planning using Evolutionary Fuzzy Association Rule Mining
WiraramaWedashwara.html
IWayanAgusArimbawa.html
AndyHidayatJatmika.html
AriyanZubaidi.html
TatangMulyana.html
http___dx.doi.org_10.1109_ICADEIS49811.2020.9276905 http://dx.doi.org/10.1109/ICADEIS49811.2020.9276905
1277382 Peptide detectability following ESI mass spectrometry: prediction using genetic programming
DavidCWedge.html
SimonJGaskell.html
SimonJHubbard.html
DouglasBKell.html
KingWaiLau.html
ClaireEyers.html
http___gpbib.cs.ucl.ac.uk_gecco2007_docs_p2219.pdf http://gpbib.cs.ucl.ac.uk/gecco2007/docs/p2219.pdf
http___dx.doi.org_10.1145_1276958.1277382 http://dx.doi.org/10.1145/1276958.1277382
Wedge:2008:gecco Rapid prediction of optimum population size in genetic programming using a novel genotype - Fitness Correlation
DavidCWedge.html
DouglasBKell.html
http___gpbib.cs.ucl.ac.uk_gecco2008_docs_p1315.pdf http://gpbib.cs.ucl.ac.uk/gecco2008/docs/p1315.pdf
http___dx.doi.org_10.1145_1389095.1389346 http://dx.doi.org/10.1145/1389095.1389346
Wedge2009365 Real-time vapour sensing using an OFET-based electronic nose and genetic programming
DavidCWedge.html
ArindamDas.html
ReneDost.html
JeffKettle.html
Marie-BeatriceMadec.html
JohnJMorrison.html
MartinGrell.html
DouglasBKell.html
TimHRichardson.html
StephenYeates.html
MichaelLTurner.html
http___dx.doi.org_10.1016_j.snb.2009.09.030 http://dx.doi.org/10.1016/j.snb.2009.09.030
http___www.sciencedirect.com_science_article_B6THH-4X97CWW-3_2_14db15f5516874fbcbbecdd36c5b9987 http://www.sciencedirect.com/science/article/B6THH-4X97CWW-3/2/14db15f5516874fbcbbecdd36c5b9987
http___results.ref.ac.uk_Submissions_Output_2859886 http://results.ref.ac.uk/Submissions/Output/2859886
Weerasinghe:2020:ICAC Real-Time Decision Optimization Platform for Airline Operations
PSRWeerasinghe.html
RAMDKRanasinghe.html
MMVRBMahanthe.html
PGCBSamarakoon.html
WindhyaRankothge.html
DKasthurirathna.html
http___dx.doi.org_10.1109_ICAC51239.2020.9357157 http://dx.doi.org/10.1109/ICAC51239.2020.9357157
Wei:2014:EPA Dissolved gas analysis method based on novel feature prioritisation and support vector machine
ChenghaoWei.html
WenhuTang.html
QinghuaWu.html
http___dx.doi.org_10.1049_iet-epa.2014.0085 http://dx.doi.org/10.1049/iet-epa.2014.0085
journals/jifs/WeiJW16 A new multiobjective genetic programming approach using compromise distance ranking for automated design of nonlinear system design
ShuangWei.html
DefuJiang.html
FengWang.html
http___dx.doi.org_10.3233_IFS-162174 http://dx.doi.org/10.3233/IFS-162174
Tingyang_Wei:ETC Multiclass Classification on High Dimension and Low Sample Size Data using Genetic Programming
TingyangWei.html
WeiliLiu.html
JinghuiZhong.html
Yue-JiaoGong.html
http___dx.doi.org_10.1109_TETC.2020.3034495 http://dx.doi.org/10.1109/TETC.2020.3034495
Wei:2008:cec Comparative Association Rules Mining Using Genetic Network Programming (GNP) with Attributes Accumulation Mechanism and its Application to Traffic Systems
WeiWei.html
HuiyuZhou.html
KaoruShimada.html
ShingoMabu.html
KotaroHirasawa.html
http___dx.doi.org_10.1109_CEC.2008.4630813 http://dx.doi.org/10.1109/CEC.2008.4630813
Wei:2006:WCICA Aero-Engine Dynamic Start Model Based on Parsimonious Genetic Programming
XunkaiWei.html
YinghongLi.html
http___dx.doi.org_10.1109_WCICA.2006.1712595 http://dx.doi.org/10.1109/WCICA.2006.1712595
Wei:2010:NCA Parsimonious genetic programming for complex process intelligent modeling: algorithm and applications
XunkaiWei.html
YinghongLi.html
YueFeng.html
http___dx.doi.org_10.1007_s00521-009-0308-5 http://dx.doi.org/10.1007/s00521-009-0308-5
Wei:2020:FUZZ An Optimized Type-2 Self-Organizing Fuzzy Logic Controller Applied in Anesthesia for Propofol Dosing to Regulate BIS
Zi-XiaoWei.html
FaiyazDoctor.html
Yan-XinLiu.html
Shou-ZenFan.html
Jiann-ShingShieh.html
http___dx.doi.org_10.1109_TFUZZ.2020.2969384 http://dx.doi.org/10.1109/TFUZZ.2020.2969384
Weimer:2009:ICES Automatically Finding Patches Using Genetic Programming
WestleyWeimer.html
ThanhVuNguyen.html
ClaireLeGoues.html
StephanieForrest.html
http___www.cs.unm.edu__tnguyen_papers_genprog.pdf http://www.cs.unm.edu/~tnguyen/papers/genprog.pdf
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.147.8995 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.147.8995
http___www.cs.virginia.edu__csl9q_docs_legoues-icse2009-genprog-preprint.pdf http://www.cs.virginia.edu/~csl9q/docs/legoues-icse2009-genprog-preprint.pdf
http___dx.doi.org_10.1109_ICSE.2009.5070536 http://dx.doi.org/10.1109/ICSE.2009.5070536
Weimer:2010:ACM Automatic program repair with evolutionary computation
WestleyWeimer.html
StephanieForrest.html
ClaireLeGoues.html
ThanhVuNguyen.html
http___www.cs.virginia.edu__weimer_p_p109-weimer.pdf http://www.cs.virginia.edu/~weimer/p/p109-weimer.pdf
http___dx.doi.org_10.1145_1735223.1735249 http://dx.doi.org/10.1145/1735223.1735249
Weimer:2013:SSBSE Advances in Automated Program Repair and a Call to Arms
WestleyWeimer.html
http___www.cs.ucl.ac.uk_staff_s.yoo_papers_Xie2013kx.pdf http://www.cs.ucl.ac.uk/staff/s.yoo/papers/Xie2013kx.pdf
http___dx.doi.org_10.1007_978-3-642-39742-4_1 http://dx.doi.org/10.1007/978-3-642-39742-4_1
Weimer-ase2013 Leveraging Program Equivalence for Adaptive Program Repair: Models and First Results
WestleyWeimer.html
ZacharyPFry.html
StephanieForrest.html
http___www.cs.virginia.edu__weimer_p_weimer-ase2013-preprint.pdf http://www.cs.virginia.edu/~weimer/p/weimer-ase2013-preprint.pdf
http___dx.doi.org_10.1109_ASE.2013.6693094 http://dx.doi.org/10.1109/ASE.2013.6693094
DBLP:conf/dsn/WeimerFKGH16 Trusted Software Repair for System Resiliency
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MiryungKim.html
ClaireLeGoues.html
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https___doi.org_10.1109_DSN-W.2016.64 https://doi.org/10.1109/DSN-W.2016.64
http___dx.doi.org_10.1109_DSN-W.2016.64 http://dx.doi.org/10.1109/DSN-W.2016.64
Weimer:2016:GECCOcomp Genetic Improvement 2016 Chairs' Welcome and Organization
WestleyWeimer.html
JustynaPetke.html
DavidRobertWhite.html
http___dx.doi.org_10.1145_2908961.2931686 http://dx.doi.org/10.1145/2908961.2931686
Weimer:2022:GI From Deep Learning to Human Judgments: Lessons for Genetic Improvement
WestleyWeimer.html
http___geneticimprovementofsoftware.com_slides_gi2022gecco_weimer-keynote-gi-gecco-22.pdf http://geneticimprovementofsoftware.com/slides/gi2022gecco/weimer-keynote-gi-gecco-22.pdf
https___www.youtube.com_watch_v_90z0k3jwhU8_list_PLI8fiFpB7BoIHgl5CsdtjfWvHlE5N6pje https://www.youtube.com/watch?v=90z0k3jwhU8&list=PLI8fiFpB7BoIHgl5CsdtjfWvHlE5N6pje
weinbrenner:1997:diploma Genetic Programming Techniques Applied to Measurement Data
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http___citeseer.ist.psu.edu_cache_papers_cs_21598_http_zSzzSzwww.emk.e-technik.tu-darmstadt.dezSz_thomaswzSzda1362.pdf_weinbrenner97genetic.pdf http://citeseer.ist.psu.edu/cache/papers/cs/21598/http:zSzzSzwww.emk.e-technik.tu-darmstadt.dezSz~thomaswzSzda1362.pdf/weinbrenner97genetic.pdf
http___citeseer.ist.psu.edu_weinbrenner97genetic.html http://citeseer.ist.psu.edu/weinbrenner97genetic.html
oai:eldorado:0x00041622 Reconstruction of Physical Correlations Using Symbolic Regression
KlausWeinert.html
MarcStautner.html
http___hdl.handle.net_2003_5415 http://hdl.handle.net/2003/5415
https___eldorado.tu-dortmund.de_bitstream_2003_5415_1_116.pdf https://eldorado.tu-dortmund.de/bitstream/2003/5415/1/116.pdf
weinert2:2001:gecco Reconstruction of Particle Flow Mechanisms with Symbolic Regression via Genetic Programming
KlausWeinert.html
MarcStautner.html
http___gpbib.cs.ucl.ac.uk_gecco2001_d24.pdf http://gpbib.cs.ucl.ac.uk/gecco2001/d24.pdf
weinert:2001:gecco Evolutionary Surface Reconstruction Using CSG-NURBS-Hybrids
KlausWeinert.html
TobiasSurmann.html
JornMehnen.html
http___gpbib.cs.ucl.ac.uk_gecco2001_d25.pdf http://gpbib.cs.ucl.ac.uk/gecco2001/d25.pdf
weinert:2002:EuroGP Parallel Surface Reconstruction
KlausWeinert.html
TobiasSurmann.html
JornMehnen.html
http___dx.doi.org_10.1007_3-540-45984-7_9 http://dx.doi.org/10.1007/3-540-45984-7_9
weinert:2002:EuroGPa A New View on Symbolic Regression
KlausWeinert.html
MarcStautner.html
http___dx.doi.org_10.1007_3-540-45984-7_11 http://dx.doi.org/10.1007/3-540-45984-7_11
conf/adma/WeinertL06 GEPCLASS: A Classification Rule Discovery Tool Using Gene Expression Programming
WagnerRWeinert.html
HeitorSilverioLopes.html
http___dx.doi.org_10.1007_11811305_95 http://dx.doi.org/10.1007/11811305_95
Weinert20106 Evaluation of dynamic behavior forecasting parameters in the process of transition rule induction of unidimensional cellular automata
WagnerRWeinert.html
HeitorSilverioLopes.html
http___dx.doi.org_10.1016_j.biosystems.2009.08.002 http://dx.doi.org/10.1016/j.biosystems.2009.08.002
http___www.sciencedirect.com_science_article_B6T2K-4X0XFDD-1_2_0604807ff3e25dde5b1b6902b792e157 http://www.sciencedirect.com/science/article/B6T2K-4X0XFDD-1/2/0604807ff3e25dde5b1b6902b792e157
Weinert:2015:IJICA Data mining with a parallel rule induction system based on gene expression programming
WagnerRWeinert.html
HeitorSilverioLopes.html
http___www.inderscience.com_link.php_id_41914 http://www.inderscience.com/link.php?id=41914
http___dx.doi.org_10.1504_IJICA.2011.041914 http://dx.doi.org/10.1504/IJICA.2011.041914
W2006DGPFa Genetic Programming for Sensor Networks
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http___www.it-weise.de_documents_index.html http://www.it-weise.de/documents/index.html
http___dgpf.sourceforge.net_documents_001-2006-01-20-paper.pdf http://dgpf.sourceforge.net/documents/001-2006-01-20-paper.pdf
http___www.it-weise.de_documents_files_W2006DGPFa.pdf http://www.it-weise.de/documents/files/W2006DGPFa.pdf
DGPF06b Genetic Programming Techniques for Sensor Networks
ThomasWeise.html
KurtGeihs.html
http___dgpf.sourceforge.net_documents_006-2006-07-17-kuvs_paper.pdf http://dgpf.sourceforge.net/documents/006-2006-07-17-kuvs_paper.pdf
ftp___ftp.informatik.uni-stuttgart.de_pub_library_ncstrl.ustuttgart_fi_TR-2006-07_TR-2006-07.pdf ftp://ftp.informatik.uni-stuttgart.de/pub/library/ncstrl.ustuttgart_fi/TR-2006-07/TR-2006-07.pdf
http___www.it-weise.de_documents_files_W2006DGPFb.pdf http://www.it-weise.de/documents/files/W2006DGPFb.pdf
http___elib.uni-stuttgart.de_opus_volltexte_2006_2838_ http://elib.uni-stuttgart.de/opus/volltexte/2006/2838/
WG2006DGPFc DGPF -- An Adaptable Framework for Distributed Multi-Objective Search Algorithms Applied to the Genetic Programming of Sensor Networks
ThomasWeise.html
KurtGeihs.html
http___www.it-weise.de_documents_files_WG2006DGPFc.pdf http://www.it-weise.de/documents/files/WG2006DGPFc.pdf
WGB2007DGPFb Genetic Programming for Proactive Aggregation Protocols
ThomasWeise.html
KurtGeihs.html
PhilippAndreasBaer.html
http___dx.doi.org_10.1007_978-3-540-71618-1 http://dx.doi.org/10.1007/978-3-540-71618-1
http___www.it-weise.de_documents_files_WGB2007DGPFb.pdf http://www.it-weise.de/documents/files/WGB2007DGPFb.pdf
http___dx.doi.org_10.1007_978-3-540-71618-1_19 http://dx.doi.org/10.1007/978-3-540-71618-1_19
WZKG2007DGPFd Genetic Programming meets Model-Driven Development
ThomasWeise.html
MichaelZapf.html
MohammadUllahKhan.html
KurtGeihs.html
http___www.it-weise.de_documents_files_WZKG2007DGPFd.pdf http://www.it-weise.de/documents/files/WZKG2007DGPFd.pdf
http___kobra.bibliothek.uni-kassel.de_handle_urn_nbn_de_hebis_34-2007070218786 http://kobra.bibliothek.uni-kassel.de/handle/urn:nbn:de:hebis:34-2007070218786
Weise:2007:HIS Genetic Programming meets Model-Driven Development
ThomasWeise.html
MichaelZapf.html
MohammadUllahKhan.html
KurtGeihs.html
http___www.it-weise.de_documents_files_WZKG2007DGPFg.pdf http://www.it-weise.de/documents/files/WZKG2007DGPFg.pdf
http___dx.doi.org_10.1109_ICHIS.2007.4344073 http://dx.doi.org/10.1109/ICHIS.2007.4344073
http___dx.doi.org_10.1109_HIS.2007.11 http://dx.doi.org/10.1109/HIS.2007.11
WZG2007DGPFi Rule-based Genetic Programming
ThomasWeise.html
MichaelZapf.html
KurtGeihs.html
http___www.it-weise.de_documents_files_WZG2007RBGP.pdf http://www.it-weise.de/documents/files/WZG2007RBGP.pdf
http___dx.doi.org_10.1109_BIMNICS.2007.4610073 http://dx.doi.org/10.1109/BIMNICS.2007.4610073
W2007GOEB Global Optimization Algorithms -- Theory Application
ThomasWeise.html
http___www.it-weise.de_projects_book.pdf http://www.it-weise.de/projects/book.pdf
https___scholar.google.com_citations_user_rT9StgcAAAAJ https://scholar.google.com/citations?user=rT9StgcAAAAJ
conf/eurogp/WeiseZG08 Evolving Proactive Aggregation Protocols
ThomasWeise.html
MichaelZapf.html
KurtGeihs.html
http___dx.doi.org_10.1007_978-3-540-78671-9_22 http://dx.doi.org/10.1007/978-3-540-78671-9_22
Weise:2008:KIS3 Global Optimization Algorithms and their Application to Distributed Systems
ThomasWeise.html
HendrikSkubch.html
MichaelZapf.html
KurtGeihs.html
http___www.it-weise.de_documents_files_WSZG2008GOAATATDS.pdf http://www.it-weise.de/documents/files/WSZG2008GOAATATDS.pdf
Weise:2009:IJCIA Combining Genetic Programming and Model-Driven Development
ThomasWeise.html
MichaelZapf.html
MohammadUllahKhan.html
KurtGeihs.html
http___www.it-weise.de_documents_files_WZKG2009DGPFz.pdf http://www.it-weise.de/documents/files/WZKG2009DGPFz.pdf
http___dx.doi.org_10.1142_S1469026809002436 http://dx.doi.org/10.1142/S1469026809002436
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.699.1181 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.699.1181
Weise:thesis Evolving Distributed Algorithms with Genetic Programming
ThomasWeise.html
https___kobra.bibliothek.uni-kassel.de_bitstream_urn_nbn_de_hebis_34-2009051127217_3_DissertationThomasWeise.pdf https://kobra.bibliothek.uni-kassel.de/bitstream/urn:nbn:de:hebis:34-2009051127217/3/DissertationThomasWeise.pdf
WeiseZ:2009:GEC Evolving distributed algorithms with genetic programming: election
ThomasWeise.html
MichaelZapf.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.188.4970 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.188.4970
http___www.it-weise.de_documents_files_WZ2009EDAWGPE.pdf http://www.it-weise.de/documents/files/WZ2009EDAWGPE.pdf
http___dx.doi.org_10.1145_1543834.1543913 http://dx.doi.org/10.1145/1543834.1543913
Weise:2010:ICCI Evolutionary Data Mining Approaches for Rule-based and Tree-based Classifiers
ThomasWeise.html
RaymondChiong.html
http___www.it-weise.de_documents_files_WC2010EDMAFRBATBC.pdf http://www.it-weise.de/documents/files/WC2010EDMAFRBATBC.pdf
http___dx.doi.org_10.1109_COGINF.2010.5599821 http://dx.doi.org/10.1109/COGINF.2010.5599821
Weise:2010:ISALA Evolutionary Approaches and their Applications to Distributed Systems
ThomasWeise.html
RaymondChiong.html
http___www.igi-global.com_bookstore_Chapter.aspx_TitleId_38453 http://www.igi-global.com/bookstore/Chapter.aspx?TitleId=38453
http___dx.doi.org_10.4018_978-1-60566-798-0.ch006 http://dx.doi.org/10.4018/978-1-60566-798-0.ch006
Weise:2011:ieeeTEC Evolving Distributed Algorithms with Genetic Programming
ThomasWeise.html
KeTang.html
http___dx.doi.org_10.1109_TEVC.2011.2112666 http://dx.doi.org/10.1109/TEVC.2011.2112666
Weise:2012:GECCO A developmental solution to (dynamic) capacitated arc routing problems using genetic programming
ThomasWeise.html
AlexandreDevert.html
KeTang.html
http___dx.doi.org_10.1145_2330163.2330278 http://dx.doi.org/10.1145/2330163.2330278
Weise:2014:CEC Evolving Exact Integer Algorithms with Genetic Programming
ThomasWeise.html
MingxuWan.html
KeTang.html
XinYao.html
http___dx.doi.org_10.1109_CEC.2014.6900292 http://dx.doi.org/10.1109/CEC.2014.6900292
Weise:2013:ieeeTEC Frequency Fitness Assignment
ThomasWeise.html
MingxuWan.html
PuWang.html
KeTang.html
AlexandreDevert.html
XinYao.html
http___dx.doi.org_10.1109_TEVC.2013.2251885 http://dx.doi.org/10.1109/TEVC.2013.2251885
Weiss:2017:ASE Tortoise: Interactive System Configuration Repair
AaronWeiss.html
ArjunGuha.html
YuriyBrun.html
https___people.cs.umass.edu__brun_pubs_pubs_Weiss17ase.pdf https://people.cs.umass.edu/~brun/pubs/pubs/Weiss17ase.pdf
https___doi.org_10.1109_ASE.2017.8115673 https://doi.org/10.1109/ASE.2017.8115673
http___dx.doi.org_10.1109_ASE.2017.8115673 http://dx.doi.org/10.1109/ASE.2017.8115673
Weisser:2010:ntt Transplant Evolution for Optimization of General Controllers
RomanWeisser.html
PavelOsmera.html
JanRoupec.html
RadomilMatousek.html
http___dx.doi.org_10.5772_10419 http://dx.doi.org/10.5772/10419
Welsch:2020:GECCO Synthesis through Unification Genetic Programming
ThomasWelsch.html
VitaliyKurlin.html
https___doi.org_10.1145_3377930.3390208 https://doi.org/10.1145/3377930.3390208
http___dx.doi.org_10.1145_3377930.3390208 http://dx.doi.org/10.1145/3377930.3390208
wen:2021:SichuanUniversity Application of Automated Machine Learning Based on Radiomics Features of T2WI and RS-EPI DWI to Predict Preoperative T Staging of Rectal Cancer
Da-GuangWen.html
Si-XianHu.html
Zhen-LinLi.html
Xiang-BingDeng.html
ChuanTian.html
XinLi.html
Xin-RongWang.html
QiLeng.html
Chun-ChaoXia.html
http___dx.doi.org_10.12182_20210460201 http://dx.doi.org/10.12182/20210460201
Wen:2022:RemoteSensing An Object-Based Genetic Programming Approach for Cropland Field Extraction
CaiyunWen.html
MiaoLu.html
YingBi.html
ShengnanZhang.html
BingXue.html
MengjieZhang.html
QingboZhou.html
WenbinWu.html
https___www.mdpi.com_2072-4292_14_5_1275 https://www.mdpi.com/2072-4292/14/5/1275
http___dx.doi.org_10.3390_rs14051275 http://dx.doi.org/10.3390/rs14051275
Wen:2009:IITA-JCAI Construct for Investment Strategy Model through Genetic Programming Planning
Chih-HungWen.html
Wen-TsaoPan.html
http___dx.doi.org_10.1109_JCAI.2009.121 http://dx.doi.org/10.1109/JCAI.2009.121
wen:2018:pjoes Carbon Emission and Economic Growth Model of Beijing Based on Symbolic Regression
LeiWen.html
QiaoLi.html
YueLi.html
ZeyangMa.html
https___www.pjoes.com_abstracts_2018_Vol27_No01_39.html https://www.pjoes.com/abstracts/2018/Vol27/No01/39.html
https___www.pjoes.com_pdf_27.1_Pol.J.Environ.Stud.Vol.27.No.1.365-372.pdf https://www.pjoes.com/pdf/27.1/Pol.J.Environ.Stud.Vol.27.No.1.365-372.pdf
http___dx.doi.org_10.15244_pjoes_74155 http://dx.doi.org/10.15244/pjoes/74155
WenLZ:2009:GEC HS-Model: a hierarchical statistical subtree-generating model for genetic programming
LingyunWen.html
GuiquanLiu.html
YinghaiZhao.html
http___dx.doi.org_10.1145_1543834.1543994 http://dx.doi.org/10.1145/1543834.1543994
Wen:2012:CEC Application of Free Pattern Search on the Surface Roughness Prediction in End Milling
LongWen.html
LiangGao.html
XinyuLi.html
GuohuiZhang.html
YangYang.html
http___dx.doi.org_10.1109_CEC.2012.6256605 http://dx.doi.org/10.1109/CEC.2012.6256605
WEN:2020:RESS A Generalized Remaining Useful Life Prediction Method for Complex Systems Based on Composite Health Indicator
PengfeiWen.html
ShuaiZhao.html
ShaoweiChen.html
YongLi.html
http___dx.doi.org_10.1016_j.ress.2020.107241 http://dx.doi.org/10.1016/j.ress.2020.107241
http___www.sciencedirect.com_science_article_pii_S0951832020307419 http://www.sciencedirect.com/science/article/pii/S0951832020307419
Wen:2021:IoT Remaining Useful Life Prediction of IIoT-Enabled Complex Industrial Systems With Hybrid Fusion of Multiple Information Sources
PengfeiWen.html
YongLi.html
ShaoweiChen.html
ShuaiZhao.html
http___dx.doi.org_10.1109_JIOT.2021.3055977 http://dx.doi.org/10.1109/JIOT.2021.3055977
Wen:2016:CEC Learning Ensemble of Decision Trees through Multifactorial Genetic Programming
Yu-WeiWen.html
Chuan-KangTing.html
http___dx.doi.org_10.1109_CEC.2016.7748363 http://dx.doi.org/10.1109/CEC.2016.7748363
Wen:2017:ieeeCISRAM Load dispatch optimization of AGC system based on improved genetic algorithm
ZhiweiWen.html
BiaoChen.html
http___dx.doi.org_10.1109_ICCIS.2017.8274787 http://dx.doi.org/10.1109/ICCIS.2017.8274787
Wendlinger:2021:EuroGP Evofficient: Reproducing a Cartesian Genetic Programming Method
LorenzWendlinger.html
JulianStier.html
MichaelGranitzer.html
http___dx.doi.org_10.1007_978-3-030-72812-0_11 http://dx.doi.org/10.1007/978-3-030-72812-0_11
DBLP:conf/gecco/WeningerHXA09 An evolutionary approach to constructive induction for link discovery
TimWeninger.html
WilliamHHsu.html
JingXia.html
WaleedAljandal.html
http___dx.doi.org_10.1145_1569901.1570248 http://dx.doi.org/10.1145/1569901.1570248
DBLP:conf/gecco/WeningerHXA09a An evolutionary approach to constructive induction for link discovery
TimWeninger.html
WilliamHHsu.html
JingXia.html
WaleedAljandal.html
http___dx.doi.org_10.1145_1570256.1570295 http://dx.doi.org/10.1145/1570256.1570295
Weraduwage:2015:fps The relationship between leaf area growth and biomass accumulation in Arabidopsis thaliana
SarathiMaheshikaWeraduwage.html
JinChen.html
FransiscaChidinmaAnozie.html
AlejandroMoralesSierra.html
SeanEWeise.html
ThomasDSharkey.html
http___www.ncbi.nlm.nih.gov_pmc_articles_PMC4391269_ http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4391269/
https___www.ncbi.nlm.nih.gov_pmc_articles_PMC4391269_pdf_fpls-06-00167.pdf https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4391269/pdf/fpls-06-00167.pdf
http___dx.doi.org_10.3389_fpls.2015.00167 http://dx.doi.org/10.3389/fpls.2015.00167
Werner:1999:PACT A graphic methodology to develop parallel application applying genetic algorithms to acoustic noise cancellation
JamesCunhaWerner.html
http___www.geocities.com_jamwer2002_pact98.pdf http://www.geocities.com/jamwer2002/pact98.pdf
werner:thesis Active Noise Control in Ducts Using Genetic Algorithms
JamesCunhaWerner.html
http___www.geocities.ws_jamwer2002_tese.zip http://www.geocities.ws/jamwer2002/tese.zip
werner:2000:rep1 Evolving genetic algorithm for Job Shop Scheduling problems
JamesCunhaWerner.html
MehmetEminAydin.html
TerenceCFogarty.html
http___www.geocities.com_jamwer2002_rep1.pdf http://www.geocities.com/jamwer2002/rep1.pdf
werner:2001:rep2 Genetic Algorithm applied in Clustering Datasets
JamesCunhaWerner.html
TerenceCFogarty.html
http___www.geocities.com_jamwer2002_rep2.pdf http://www.geocities.com/jamwer2002/rep2.pdf
werner:2001:rep3 Map algorithm in routing problems using genetic algorithm
JamesCunhaWerner.html
TerenceCFogarty.html
http___www.geocities.com_jamwer2002_rep3.pdf http://www.geocities.com/jamwer2002/rep3.pdf
werner:2001:rep4 Crop Planning System for tilling optimisation
JamesCunhaWerner.html
TerenceCFogarty.html
http___www.geocities.com_jamwer2002_rep4.pdf http://www.geocities.com/jamwer2002/rep4.pdf
werner:2002:gpphys The Physics behind genetic programming
JamesCunhaWerner.html
http___www.geocities.com_jamwer2002_gpphys.pdf http://www.geocities.com/jamwer2002/gpphys.pdf
werner:2001:rep6 Genetic programming applied to strategies learning
JamesCunhaWerner.html
TerenceCFogarty.html
http___www.geocities.com_jamwer2002_rep6.pdf http://www.geocities.com/jamwer2002/rep6.pdf
werner:2001:PKDD Genetic programming applied to Collagen disease \& thrombosis
JamesCunhaWerner.html
TerenceCFogarty.html
http___www.geocities.com_jamwer2002_pkdd01.pdf http://www.geocities.com/jamwer2002/pkdd01.pdf
http___lisp.vse.cz_challenge_pkdd2001_werner.pdf http://lisp.vse.cz/challenge/pkdd2001/werner.pdf
http___citeseer.ist.psu.edu_457939.html http://citeseer.ist.psu.edu/457939.html
werner:2001:idamap Genetic programming applied to severe diseases diagnosis
JamesCunhaWerner.html
TerenceCFogarty.html
http___www.geocities.com_jamwer2002_idamap01.pdf http://www.geocities.com/jamwer2002/idamap01.pdf
werner:2001:SIGKDD1 Genetic programming applied to pharmaceutical drugs design
JamesCunhaWerner.html
http___www.geocities.com_jamwer2002_tromb.pdf http://www.geocities.com/jamwer2002/tromb.pdf
werner:2001:SIGKDD2 Genetic programming applied to gene function identification
JamesCunhaWerner.html
http___www.geocities.com_jamwer2002_genfunc.pdf http://www.geocities.com/jamwer2002/genfunc.pdf
werner:2001:SIGKDD3 Genetic programming applied to gene location identification
JamesCunhaWerner.html
http___www.geocities.com_jamwer2002_genloc.pdf http://www.geocities.com/jamwer2002/genloc.pdf
werner:2002:EuroGP Genetic control applied to asset managements
JamesCunhaWerner.html
TerenceCFogarty.html
http___www.geocities.com_jamwer2002_markop.pdf http://www.geocities.com/jamwer2002/markop.pdf
http___dx.doi.org_10.1007_3-540-45984-7_19 http://dx.doi.org/10.1007/3-540-45984-7_19
werner:2002:OR Artificial intelligence applied to rescheduling and optimisation
JamesCunhaWerner.html
TerenceCFogarty.html
http___www.geocities.com_jamwer2002_simtrans.pdf http://www.geocities.com/jamwer2002/simtrans.pdf
werner03 Disease modeling using Evolved Discriminate Function
JamesCunhaWerner.html
TatianaKalganova.html
http___www.geocities.com_jamwer2002_eurogp2003.pdf http://www.geocities.com/jamwer2002/eurogp2003.pdf
http___dx.doi.org_10.1007_3-540-36599-0_44 http://dx.doi.org/10.1007/3-540-36599-0_44
werner:2003:PKDD Risk Evaluation using Evolvable Discriminate Function
JamesCunhaWerner.html
TatianaKalganova.html
http___www.geocities.com_jamwer2002_arte1.pdf http://www.geocities.com/jamwer2002/arte1.pdf
6349 A Fair Performance Comparison of Different Surrogate Optimization Strategies
BernhardWerth.html
ErikPitzer.html
MichaelAffenzeller.html
https___link.springer.com_chapter_10.1007_978-3-319-74718-7_49 https://link.springer.com/chapter/10.1007/978-3-319-74718-7_49
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oai:CiteSeerPSU:506281 ``GenPlan'': Combining Genetic Programming and Planning
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oai:CiteSeerPSU:507073 Optimising Plans using Genetic Programming
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westerberg:2002:gecco:workshop Elite Crossover in Genetic Planning
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Westerberg:thesis An Investigation into the use of Evolutionary Algorithms for Fully Automated Planning
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chaiyaratana:evows06 Enhancement of an Automatic Fingerprint Identification System Using a Genetic Algorithm and Genetic Programming
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whigham:1996:phd Grammatical Bias for Evolutionary Learning
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whigham:1997:mrrP Applying Genetic Programming to Model Rainfall-Runoff
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whigham:1997:epdfg Evolving a Program defined by a Formal Grammar
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whigham:2001:edc Book Review: Evolutionary Design by Computers
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whigham:2001:esc Evolving Structure-Optimising Content
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Whigham:2001:MCM Modelling rainfall-runoff using genetic programming
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Whigham:2005:SIRC Fixation of Neutral Alleles in Spatially Structured Populations via Genetic Drift: Describing the spatial structure of faster-than-panmictic configurations
PeterAlexanderWhigham.html
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Whigham:2006:ASPGP GP and Bloat: Absorbing boundaries and spatial structures
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Whigham:2010:ieeeTEC Implicitly Controlling Bloat in Genetic Programming
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http___dx.doi.org_10.1109_TEVC.2009.2027314 http://dx.doi.org/10.1109/TEVC.2009.2027314
Whigham:2010:cec Evolving trading strategies for a limit-order book generator
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IMPremachandra.html
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Whigham:2011:GECCO Evolving a robust trader in a cyclic double auction market
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http___dx.doi.org_10.1145_2001576.2001771 http://dx.doi.org/10.1145/2001576.2001771
Whigham:2015:GECCO Examining the "Best of Both Worlds" of Grammatical Evolution
PeterAlexanderWhigham.html
GrantDick.html
JamesMaclaurin.html
CaitlinAOwen.html
http___doi.acm.org_10.1145_2739480.2754784 http://doi.acm.org/10.1145/2739480.2754784
http___dx.doi.org_10.1145_2739480.2754784 http://dx.doi.org/10.1145/2739480.2754784
Whigham:2014:GPEM Wolfgang Banzhaf: Genetic programming and emergence
PeterAlexanderWhigham.html
http___dx.doi.org_10.1007_s10710-013-9204-y http://dx.doi.org/10.1007/s10710-013-9204-y
Whigham:2017:GPEM On the mapping of genotype to phenotype in evolutionary algorithms
PeterAlexanderWhigham.html
GrantDick.html
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http___dx.doi.org_10.1007_s10710-017-9288-x http://dx.doi.org/10.1007/s10710-017-9288-x
Whigham:2017:GPEM2 Just because it works: a response to comments on ``On the Mapping of Genotype to Phenotype in Evolutionary Algorithms''
PeterAlexanderWhigham.html
GrantDick.html
JamesMaclaurin.html
http___dx.doi.org_10.1007_s10710-017-9289-9 http://dx.doi.org/10.1007/s10710-017-9289-9
white:2004:AL Systems biology thought experiments in human genetics using artificial life and grammatical evolution
BillCWhite.html
JasonHMoore.html
http___ieeexplore.ieee.org_xpl_freeabs_all.jsp_arnumber_6278776 http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=6278776
http___dx.doi.org_10.7551_mitpress_1429.003.0098 http://dx.doi.org/10.7551/mitpress/1429.003.0098
white:2005:CEC A Statistical Comparison of Grammatical Evolution Strategies in the Domain of Human Genetics
BillCWhite.html
JoshuaCGilbert.html
DavidMReif.html
JasonHMoore.html
http___dx.doi.org_10.1109_CEC.2005.1554723 http://dx.doi.org/10.1109/CEC.2005.1554723
White2:2008:gecco Searching for resource-efficient programs: low-power pseudorandom number generators
DavidRobertWhite.html
JohnAClark.html
JeremyJacob.html
SimonMPoulding.html
http___gpbib.cs.ucl.ac.uk_gecco2008_docs_p1775.pdf http://gpbib.cs.ucl.ac.uk/gecco2008/docs/p1775.pdf
http___www.cs.york.ac.uk__drw_rnggecco.pdf http://www.cs.york.ac.uk/~drw/rnggecco.pdf
http___dx.doi.org_10.1145_1389095.1389437 http://dx.doi.org/10.1145/1389095.1389437
White:2009:eurogp A Rigorous Evaluation of Crossover and Mutation in Genetic Programming
DavidRobertWhite.html
SimonMPoulding.html
http___dx.doi.org_10.1007_978-3-642-01181-8_19 http://dx.doi.org/10.1007/978-3-642-01181-8_19
http___results.ref.ac.uk_Submissions_Output_1867870 http://results.ref.ac.uk/Submissions/Output/1867870
White:thesis Genetic Programming for Low-Resource Systems
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White:2010:EuroGP Fine-Grained Timing using Genetic Programming
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http___dx.doi.org_10.1007_978-3-642-12148-7_28 http://dx.doi.org/10.1007/978-3-642-12148-7_28
White:2011:ieeeTEC Evolutionary Improvement of Programs
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White:2011:GPEM Software review: the ECJ toolkit
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White:2013:GPEM Better GP benchmarks: community survey results and proposals
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SeanLuke.html
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https___rdcu.be_c1FfZ https://rdcu.be/c1FfZ
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http___gpbenchmarks.org_ http://gpbenchmarks.org/
DBLP:journals/corr/White14 An Overview of Schema Theory
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http___arxiv.org_abs_1401.2651 http://arxiv.org/abs/1401.2651
https___dblp.org_rec_bib_journals_corr_White14 https://dblp.org/rec/bib/journals/corr/White14
White:2015:gi Rethinking Genetic Improvement Programming
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http___doi.acm.org_10.1145_2739482.2768426 http://doi.acm.org/10.1145/2739482.2768426
http___dx.doi.org_10.1145_2739482.2768426 http://dx.doi.org/10.1145/2739482.2768426
White:2015:GECCOcompa The Programming Game: Evaluating MCTS as an Alternative to GP for Symbolic Regression
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ShinYoo.html
JeremySinger.html
http___doi.acm.org_10.1145_2739482.2764655 http://doi.acm.org/10.1145/2739482.2764655
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White:2016:GI Guiding Unconstrained Genetic Improvement
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White:2017:GI GI in No Time
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http___dx.doi.org_doi_10.1145_3067695.3082515 http://dx.doi.org/doi:10.1145/3067695.3082515
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White:2019:GPTP Modelling Genetic Programming as a Simple Sampling Algorithm
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EarlBarr.html
http___dx.doi.org_10.1007_978-3-030-39958-0_18 http://dx.doi.org/10.1007/978-3-030-39958-0_18
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White:2017:evoApplications Integration of Reaction Kinetics Theory and Gene Expression Programming to Infer Reaction Mechanism
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RanjanSrivastava.html
http___dx.doi.org_10.1007_978-3-319-55849-3_4 http://dx.doi.org/10.1007/978-3-319-55849-3_4
White:2010:cec Generating a novel sort algorithm using Reinforcement Programming
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http___dx.doi.org_10.1109_CEC.2010.5586457 http://dx.doi.org/10.1109/CEC.2010.5586457
White:2012:CI Automatic Algorithm Development Using New Reinforcement Programming Techniques
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GeorgeRudolph.html
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http___dx.doi.org_10.1111_j.1467-8640.2012.00413.x http://dx.doi.org/10.1111/j.1467-8640.2012.00413.x
White:2008:gecco A swarm-based crossover operator for genetic programming
TonyWhite.html
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http___gpbib.cs.ucl.ac.uk_gecco2008_docs_p1345.pdf http://gpbib.cs.ucl.ac.uk/gecco2008/docs/p1345.pdf
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conf/ieaaie/WhiteFO11 Basic Object Oriented Genetic Programming
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http___dx.doi.org_10.1007_978-3-642-21822-4_7 http://dx.doi.org/10.1007/978-3-642-21822-4_7
whitley:1995:pole Cellular Encoding Applied to Neurocontrol
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whitley:2000:GECCO Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2000)
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LeeSpector.html
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http___gpbib.cs.ucl.ac.uk_gecco2000_gecco00.bib http://gpbib.cs.ucl.ac.uk/gecco2000/gecco00.bib
Whitley:2001:IST An overview of evolutionary algorithms: practical issues and common pitfalls
LDarrellWhitley.html
http___www.cs.colostate.edu__genitor_2001_overview.pdf http://www.cs.colostate.edu/~genitor/2001/overview.pdf
http___dx.doi.org_10.1016_S0950-5849_01_00188-4 http://dx.doi.org/10.1016/S0950-5849(01)00188-4
1144155 Alternative evolutionary algorithms for evolving programs: evolution strategies and steady state GP
LDarrellWhitley.html
MarcDRichards.html
JRossBeveridge.html
AndredaMottaSallesBarreto.html
http___gpbib.cs.ucl.ac.uk_gecco2006_docs_p919.pdf http://gpbib.cs.ucl.ac.uk/gecco2006/docs/p919.pdf
http___dx.doi.org_10.1145_1143997.1144155 http://dx.doi.org/10.1145/1143997.1144155
whitley:2007:FOGA FOGA and THEORY: Past, Present, Future
LDarrellWhitley.html
http___www.sigevo.org_foga-2007_talks_whitley-FOGA07.pdf http://www.sigevo.org/foga-2007/talks/whitley-FOGA07.pdf
Wick:2021:EuroGP Getting a Head Start on Program Synthesis with Genetic Programming
JordanMWick.html
ErikHemberg.html
Una-MayO'Reilly.html
https___alfagroup.csail.mit.edu_sites_default_files_documents_2021._20Getting_20a_20Head_20Start_20on_20Program_20Synthesis_20with_20Genetic_20Programming.pdf https://alfagroup.csail.mit.edu/sites/default/files/documents/2021.%20Getting%20a%20Head%20Start%20on%20Program%20Synthesis%20with%20Genetic%20Programming.pdf
http___dx.doi.org_10.1007_978-3-030-72812-0_17 http://dx.doi.org/10.1007/978-3-030-72812-0_17
Widera:2009:cec Evolutionary Design of the Energy Function for Protein Structure Prediction
PawelWidera.html
JonathanMGaribaldi.html
NatalioKrasnogor.html
http___dx.doi.org_10.1109_CEC.2009.4983095 http://dx.doi.org/10.1109/CEC.2009.4983095
Widera:2009:GPEM GP challenge: evolving energy function for protein structure prediction
PawelWidera.html
JonathanMGaribaldi.html
NatalioKrasnogor.html
http___dx.doi.org_10.1007_s10710-009-9087-0 http://dx.doi.org/10.1007/s10710-009-9087-0
Widera:thesis Automated design of energy functions for protein structure prediction by means of genetic programming and improved structure similarity assessment
PawelWidera.html
http___etheses.nottingham.ac.uk_1394_1_thesis.pdf http://etheses.nottingham.ac.uk/1394/1/thesis.pdf
http___etheses.nottingham.ac.uk_1394_ http://etheses.nottingham.ac.uk/1394/
http___ethos.bl.uk_OrderDetails.do_did_56_uin_uk.bl.ethos.519682 http://ethos.bl.uk/OrderDetails.do?did=56&uin=uk.bl.ethos.519682
Widera:2010:geccocomp Evolutionary symbolic discovery for bioinformatics, systems and synthetic biology
PawelWidera.html
JaumeBacardit.html
NatalioKrasnogor.html
CarlosGarcia-Martinez.html
ManuelLozano.html
http___dx.doi.org_10.1145_1830761.1830842 http://dx.doi.org/10.1145/1830761.1830842
widland:1999:ehiGP Evolution of Hive Intelligence Using Genetic Programming
TomWidland.html
KevinOishi.html
AlexFeuchter.html
RyanDuryea.html
RyanDavies.html
http___www.supercomputingchallenge.org_98-99_finalreports_006_ http://www.supercomputingchallenge.org/98-99/finalreports/006/
wieczorek:2019:CIMBB GP-Based Grammatical Inference for Classification of Amyloidogenic Sequences
WojciechWieczorek.html
OlgierdUnold.html
http___link.springer.com_chapter_10.1007_978-3-030-14160-8_9 http://link.springer.com/chapter/10.1007/978-3-030-14160-8_9
http___dx.doi.org_10.1007_978-3-030-14160-8_9 http://dx.doi.org/10.1007/978-3-030-14160-8_9
wieczorek:2020:AS Parsing Expression Grammars and Their Induction Algorithm
WojciechWieczorek.html
OlgierdUnold.html
LukaszStrak.html
https___www.mdpi.com_2076-3417_10_23_8747 https://www.mdpi.com/2076-3417/10/23/8747
http___dx.doi.org_10.3390_app10238747 http://dx.doi.org/10.3390/app10238747
wieloch2013semantic Semantic Extensions for Genetic Programming
BartoszWieloch.html
http___www.cs.put.poznan.pl_bwieloch_papers_Wieloch_PhD.pdf http://www.cs.put.poznan.pl/bwieloch/papers/Wieloch_PhD.pdf
Wieloch:2013:GECCO Running programs backwards: instruction inversion for effective search in semantic spaces
BartoszWieloch.html
KrzysztofKrawiec.html
http___dx.doi.org_10.1145_2463372.2463493 http://dx.doi.org/10.1145/2463372.2463493
Wiens:2000:GECCOlb Gentropy: Evolutionary 2D Texture Generation
AndreaLWiens.html
BrianJRoss.html
wiens:2002:cg Gentropy: evolving 2D textures
AndreaLWiens.html
BrianJRoss.html
http___www.cosc.brocku.ca__bross_research_Gentropy_evolving_2D_textures.pdf http://www.cosc.brocku.ca/~bross/research/Gentropy_evolving_2D_textures.pdf
http___citeseer.ist.psu.edu_503669.html http://citeseer.ist.psu.edu/503669.html
http___dx.doi.org_10.1016_S0097-8493_01_00159-5 http://dx.doi.org/10.1016/S0097-8493(01)00159-5
Wiglasz:2016:EuroGP Plastic Fitness Predictors Coevolved with Cartesian Programs
MichalWiglasz.html
MichaelaSikulova.html
http___dx.doi.org_10.1007_978-3-319-30668-1_11 http://dx.doi.org/10.1007/978-3-319-30668-1_11
Wiglasz:2017:GlobalSIP Evolutionary Approximation of Gradient Orientation Module in HOG-based Human Detection System
MichalWiglasz.html
LukasSekanina.html
http___www.fit.vutbr.cz_research_view_pub.php_id_11441 http://www.fit.vutbr.cz/research/view_pub.php?id=11441
http___www.fit.vutbr.cz__iwiglasz_pubs.php.en_id_11441_yfile__2Fpub_2F11441_2F0001300.pdf http://www.fit.vutbr.cz/~iwiglasz/pubs.php.en?id=11441&yfile=%2Fpub%2F11441%2F0001300.pdf
http___dx.doi.org_10.1109_GlobalSIP.2017.8309171 http://dx.doi.org/10.1109/GlobalSIP.2017.8309171
Wiglasz:2018:ieeeCompIntl Cooperative Coevolutionary Approximation in HOG-based Human Detection Embedded System
MichalWiglasz.html
LukasSekanina.html
http___dx.doi.org_10.1109_SSCI.2018.8628910 http://dx.doi.org/10.1109/SSCI.2018.8628910
Wijayaweera:2012:SLAAI Framework for Discovery of Data Models Using Genetic Programming
WJLNuwanWijayaweera.html
AsokaSKarunananda.html
http___slaai.lk_proc_2012_p2012.pdf http://slaai.lk/proc/2012/p2012.pdf
http___dl.lib.mrt.ac.lk_handle_123_14527 http://dl.lib.mrt.ac.lk/handle/123/14527
Wijesinghe:2007:cec Using Restricted Loops in Genetic Programming for Image Classification
GayanWijesinghe.html
VictorCiesielski.html
http___dx.doi.org_10.1109_CEC.2007.4425070 http://dx.doi.org/10.1109/CEC.2007.4425070
Wijesinghe:2008:cec Grid vs. Arbitrary Placement of Tiles for Generating Animated Photomosaics
GayanWijesinghe.html
ShahrulBadariahMatSah.html
VictorCiesielski.html
http___dx.doi.org_10.1109_CEC.2008.4631165 http://dx.doi.org/10.1109/CEC.2008.4631165
Wijesinghe:2008:gecco Experiments with indexed FOR-loops in genetic programming
GayanWijesinghe.html
VictorCiesielski.html
http___gpbib.cs.ucl.ac.uk_gecco2008_docs_p1347.pdf http://gpbib.cs.ucl.ac.uk/gecco2008/docs/p1347.pdf
http___dx.doi.org_10.1145_1389095.1389357 http://dx.doi.org/10.1145/1389095.1389357
DBLP:conf/seal/WijesingheC08 Parameterised Indexed FOR-Loops in Genetic Programming and Regular Binary Pattern Strings
GayanWijesinghe.html
VictorCiesielski.html
http___dx.doi.org_10.1007_978-3-540-89694-4_53 http://dx.doi.org/10.1007/978-3-540-89694-4_53
Wijesinghe:2010:cec Evolving programs with parameters and loops
GayanWijesinghe.html
VictorCiesielski.html
http___dx.doi.org_10.1109_CEC.2010.5586018 http://dx.doi.org/10.1109/CEC.2010.5586018
Wild:2019:SSBSE General Program Synthesis using Guided Corpus Generation and Automatic Refactoring
AlexanderWild.html
BarryPorter.html
http___barryfp.com_swc_pdfs_2019_ssbse_wild.pdf http://barryfp.com/swc/pdfs/2019_ssbse_wild.pdf
http___dx.doi.org_10.1007_978-3-030-27455-9_7 http://dx.doi.org/10.1007/978-3-030-27455-9_7
Wild:2021:GECCOcomp Neurally Guided Transfer Learning for Genetic Programming
AlexanderWild.html
BarryPorter.html
http___dx.doi.org_10.1145_3449726.3459511 http://dx.doi.org/10.1145/3449726.3459511
Wild:2022:TELO Multi-donor Neural Transfer Learning for Genetic Programming
AlexanderWild.html
BarryPorter.html
http___dx.doi.org_10.1145_3563043 http://dx.doi.org/10.1145/3563043
Wildman:2006:apsis Genetic programming-based geometry reconstruction of conducting cylinders
RaymondAWildman.html
DanielSWeile.html
http___dx.doi.org_10.1109_APS.2006.1710992 http://dx.doi.org/10.1109/APS.2006.1710992
Wildman:2006:sap Genetic algorithm-based geometry reconstruction of convex conducting cylinders
RaymondAWildman.html
DanielSWeile.html
http___dx.doi.org_10.1109_APS.2006.1710991 http://dx.doi.org/10.1109/APS.2006.1710991
Wildman:2007:ieeeTAP Geometry Reconstruction of Conducting Cylinders Using Genetic Programming
RaymondAWildman.html
DanielSWeile.html
http___dx.doi.org_10.1109_TAP.2007.891565 http://dx.doi.org/10.1109/TAP.2007.891565
Wildman:thesis Geometry optimization and computational electromagnetics: Methods and applications
RaymondAWildman.html
https___search.proquest.com_docview_304870571 https://search.proquest.com/docview/304870571
Wilfert:2021:ETFA Genetic Programming for Fiber-Threading for Fiber-Reinforced Plastics
JonasWilfert.html
SimonStieber.html
FrederikWilhelm.html
WolfgangReif.html
http___dx.doi.org_10.1109_ETFA45728.2021.9613726 http://dx.doi.org/10.1109/ETFA45728.2021.9613726
conf/kesamsta/WilisowskiD15 The Application of Co-evolutionary Genetic Programming and TD(1) Reinforcement Learning in Large-Scale Strategy Game VCMI
LukaszWilisowski.html
RafalDrezewski.html
http___dx.doi.org_10.1007_978-3-319-19728-9_7 http://dx.doi.org/10.1007/978-3-319-19728-9_7
Wilkerson:masters Co-evolutionary automated software correction: a proof of concept
JoshLWilkerson.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.304.6988 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.304.6988
http___hdl.handle.net_10355_27358 http://hdl.handle.net/10355/27358
http___scholarsmine.mst.edu_thesis_pdf_Wilkerson_09007dcc80642bb4.pdf http://scholarsmine.mst.edu/thesis/pdf/Wilkerson_09007dcc80642bb4.pdf
Wilkerson:2010:gecco Coevolutionary automated software correction
JoshLWilkerson.html
DanielRTauritz.html
http___dx.doi.org_10.1145_1830483.1830739 http://dx.doi.org/10.1145/1830483.1830739
Wilkerson:2011:GECCOcomp Scalability of the coevolutionary automated software correction system
JoshLWilkerson.html
DanielRTauritz.html
http___dx.doi.org_10.1145_2001858.2001995 http://dx.doi.org/10.1145/2001858.2001995
Wilkerson:thesis Evolutionary Computing Driven Search Based Software Testing and Correction
JoshLWilkerson.html
http___merlin.lib.umsystem.edu_record_b9387992_S5 http://merlin.lib.umsystem.edu/record=b9387992~S5
http___hdl.handle.net_10355_26508 http://hdl.handle.net/10355/26508
https___mospace.umsystem.edu_xmlui_bitstream_handle_10355_26508_Wilkerson_2012.pdf https://mospace.umsystem.edu/xmlui/bitstream/handle/10355/26508/Wilkerson_2012.pdf
Wilkerson:2012:GECCO Multi-Objective Coevolutionary Automated Software Correction
JoshLWilkerson.html
DanielRTauritz.html
JamesMBridges.html
http___dx.doi.org_10.1145_2330163.2330333 http://dx.doi.org/10.1145/2330163.2330333
Wilkins:2019:GECCOcomp Darwinian malware detectors: a comparison of evolutionary solutions to android malware
ZacharyWilkins.html
NurZincir-Heywood.html
http___dx.doi.org_10.1145_3319619.3326818 http://dx.doi.org/10.1145/3319619.3326818
willeke:1995:GEBR Genetic Evolution of Behavior-Oriented Robots
ThomasWilleke.html
William:2008:ieeeRegion5 Genetic Programming Lab (GPLab) Tool Set Version 3.0
EdwardWilliam.html
JamesNorthernIII.html
http___dx.doi.org_10.1109_TPSD.2008.4562729 http://dx.doi.org/10.1109/TPSD.2008.4562729
Williams:1999:ADQ Automated Design of Quantum Circuits
ColinPWilliams.html
AlexanderGGray.html
http___dx.doi.org_10.1007_3-540-49208-9_8 http://dx.doi.org/10.1007/3-540-49208-9_8
Williams:2011:SSBSE Identifying Desirable Game Character Behaviours through the Application of Evolutionary Algorithms to Model-Driven Engineering Metamodels
JamesRWilliams.html
SimonMPoulding.html
LouisMRose.html
RichardFPaige.html
FionaACPolack.html
http___dx.doi.org_10.1007_978-3-642-23716-4_13 http://dx.doi.org/10.1007/978-3-642-23716-4_13
williams98 Evolutionary Algorithms for Automatic Parallelization
KennethWilliams.html
http___ethos.bl.uk_OrderDetails.do_uin_uk.bl.ethos.265665 http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.265665
ftp___ftp.pets.reading.ac.uk_pub_cs_theses_PEDAL_williams98.ps.gz ftp://ftp.pets.reading.ac.uk/pub/cs/theses/PEDAL/williams98.ps.gz
Williams:2014:ALIFE Self-Replicating Distributed Virtual Machines
LanceRWilliams.html
http___mitpress.mit.edu_sites_default_files_titles_content_alife14_ch114.html http://mitpress.mit.edu/sites/default/files/titles/content/alife14/ch114.html
http___dx.doi.org_10.7551_978-0-262-32621-6-ch114 http://dx.doi.org/10.7551/978-0-262-32621-6-ch114
1068096 Investigating the success of spatial coevolution
NathanWilliams.html
MelanieMitchell.html
http___gpbib.cs.ucl.ac.uk_gecco2005_docs_p523.pdf http://gpbib.cs.ucl.ac.uk/gecco2005/docs/p523.pdf
http___dx.doi.org_10.1145_1068009.1068096 http://dx.doi.org/10.1145/1068009.1068096
Willihnganz:1999:s2s Software that writes software
AlexisWillihnganz.html
https___www.salon.com_1999_08_10_genetic_programming_ https://www.salon.com/1999/08/10/genetic_programming/
Willis:2008:gecco GP age-layer and crossover effects in bid-offer spread prediction
AmyWillis.html
SuneerPatel.html
ChristopherDClack.html
http___gpbib.cs.ucl.ac.uk_gecco2008_docs_p1665.pdf http://gpbib.cs.ucl.ac.uk/gecco2008/docs/p1665.pdf
http___dx.doi.org_10.1145_1389095.1389407 http://dx.doi.org/10.1145/1389095.1389407
willis:1997:GPsurvey Genetic Programming: An Introduction and Survey of Applications
MarkJWillis.html
HugoHiden.html
PeterMarenbach.html
BenMcKay.html
GaryAMontague.html
http___www.staff.ncl.ac.uk_d.p.searson_docs_galesia97surveyofGP.pdf http://www.staff.ncl.ac.uk/d.p.searson/docs/galesia97surveyofGP.pdf
http___dx.doi.org_10.1049_cp_19971199 http://dx.doi.org/10.1049/cp:19971199
willis:1997:smGP Systems Modelling Using Genetic Programming
MarkJWillis.html
HugoHiden.html
MarkPHinchliffe.html
BenMcKay.html
GeoffreyWBarton.html
http___www.sciencedirect.com_science_article_B6TFT-48B0PBD-6X_2_4f9adb20577e51ae4eb7446eca52b1c2 http://www.sciencedirect.com/science/article/B6TFT-48B0PBD-6X/2/4f9adb20577e51ae4eb7446eca52b1c2
http___dx.doi.org_10.1016_S0098-1354_97_87659-4 http://dx.doi.org/10.1016/S0098-1354(97)87659-4
willis:1997:ieaGP Developing Inferential Estimation Algorithms Using Genetic Programming
MarkJWillis.html
HugoHiden.html
GaryAMontague.html
wilson2017suitability On the suitability of evolutionary computing to developing tools for intelligent music production
AlexWilson.html
RoisinLoughran.html
BrunoMFazenda.html
http___www.semanticaudio.co.uk_events_wimp2017_ http://www.semanticaudio.co.uk/events/wimp2017/
http___www.semanticaudio.co.uk_wp-content_uploads_2017_09_WIMP2017_WilsonEtAl.pdf http://www.semanticaudio.co.uk/wp-content/uploads/2017/09/WIMP2017_WilsonEtAl.pdf
http___usir.salford.ac.uk_44276_ http://usir.salford.ac.uk/44276/
2931671 The Evolution of Artificial Neurogenesis
DennisWilson.html
SylvainCussat-Blanc.html
HerveLuga.html
http___dx.doi.org_10.1145_2908961.2931671 http://dx.doi.org/10.1145/2908961.2931671
Wilson:2018:GECCO Evolving simple programs for playing Atari games
DennisGWilson.html
SylvainCussat-Blanc.html
HerveLuga.html
JulianFMiller.html
https___arxiv.org_pdf_1806.05695 https://arxiv.org/pdf/1806.05695
http___dx.doi.org_10.1145_3205455.3205578 http://dx.doi.org/10.1145/3205455.3205578
Wilson:2018:arxiv Positional Cartesian Genetic Programming
DennisGWilson.html
JulianFMiller.html
SylvainCussat-Blanc.html
HerveLuga.html
http___arxiv.org_abs_1810.04119 http://arxiv.org/abs/1810.04119
wilson:tel-02930188 Evolving principes of artificial neural design
DennisGWilson.html
https___tel.archives-ouvertes.fr_tel-02930188 https://tel.archives-ouvertes.fr/tel-02930188
https___tel.archives-ouvertes.fr_tel-02930188_document https://tel.archives-ouvertes.fr/tel-02930188/document
https___tel.archives-ouvertes.fr_tel-02930188_file_2019TOU30075b.pdf https://tel.archives-ouvertes.fr/tel-02930188/file/2019TOU30075b.pdf
Wilson:2022:sigevolution Evolving Programs to Build Artificial Neural Networks
DennisGWilson.html
https___evolution.sigevo.org_issues_HTML_sigevolution-15-1_home.html https://evolution.sigevo.org/issues/HTML/sigevolution-15-1/home.html
http___dx.doi.org_10.1145_3532942.3532944 http://dx.doi.org/10.1145/3532942.3532944
Wilson:thesis Grammatical Evolution based Data Mining for Network Intrusion Detection
DominicWilson.html
http___search.proquest.com_docview_304437540 http://search.proquest.com/docview/304437540
Wilson:2009:ieeeTEC Search, Neutral Evolution, and Mapping in Evolutionary Computing: A Case Study of Grammatical Evolution
DominicWilson.html
DevinderKaur.html
http___dx.doi.org_10.1109_TEVC.2008.2009063 http://dx.doi.org/10.1109/TEVC.2008.2009063
wilson:2003:ccpb Crossover Context in Page-based Linear Genetic Programming
GarnettCarlWilson.html
MalcolmHeywood.html
http___flame.cs.dal.ca__gwilson_docs_papers_ccece_2002.pdf http://flame.cs.dal.ca/~gwilson/docs/papers/ccece_2002.pdf
http___dx.doi.org_10.1109_CCECE.2002.1013046 http://dx.doi.org/10.1109/CCECE.2002.1013046
Wilson:2002:CJECE Crossover context in page-based linear genetic programming
GarnettCarlWilson.html
MalcolmHeywood.html
wilson:2004:GPEM Resource Review: Three Open Source Systems for Evolving Programs--Lilgp, ECJ and Grammatical Evolution
GarnettCarlWilson.html
AndrewRMcIntyre.html
MalcolmHeywood.html
http___dx.doi.org_10.1023_B_GENP.0000017053.10351.dc http://dx.doi.org/10.1023/B:GENP.0000017053.10351.dc
wilson:2004:lbp Search Operator Bias in Linearly Structured Genetic Programming
GarnettCarlWilson.html
MalcolmHeywood.html
http___gpbib.cs.ucl.ac.uk_gecco2004_LBP003.pdf http://gpbib.cs.ucl.ac.uk/gecco2004/LBP003.pdf
eurogp:WilsonH05 Context-Based Repeated Sequences in Linear Genetic Programming
GarnettCarlWilson.html
MalcolmHeywood.html
http___flame.cs.dal.ca__gwilson_docs_papers_EuroGP_2005.pdf http://flame.cs.dal.ca/~gwilson/docs/papers/EuroGP_2005.pdf
http___dx.doi.org_10.1007_978-3-540-31989-4_21 http://dx.doi.org/10.1007/978-3-540-31989-4_21
http___dx.doi.org_10.1007_b107383 http://dx.doi.org/10.1007/b107383
1068352 Use of a genetic algorithm in brill's transformation-based part-of-speech tagger
GarnettCarlWilson.html
MalcolmHeywood.html
http___gpbib.cs.ucl.ac.uk_gecco2005_docs_p2067.pdf http://gpbib.cs.ucl.ac.uk/gecco2005/docs/p2067.pdf
http___dx.doi.org_10.1145_1068009.1068352 http://dx.doi.org/10.1145/1068009.1068352
Wilson:P(A:cec2006 Probabilistic (Genotype) Adaptive Mapping Combinations for Developmental Genetic Programming
GarnettCarlWilson.html
MalcolmHeywood.html
http___ieeexplore.ieee.org_servlet_opac_punumber_11108 http://ieeexplore.ieee.org/servlet/opac?punumber=11108
http___dx.doi.org_10.1109_CEC.2006.1688619 http://dx.doi.org/10.1109/CEC.2006.1688619
Wilson:PPSN:2006 Probabilistic Adaptive Mapping Developmental Genetic Programming (PAM DGP): A New Developmental Approach
GarnettCarlWilson.html
MalcolmHeywood.html
http___dx.doi.org_10.1007_11844297_76 http://dx.doi.org/10.1007/11844297_76
G_C_Wilson:thesis Probabilistic Adaptive Mapping Developmental Genetic Programming
GarnettCarlWilson.html
https___web.cs.dal.ca__mheywood_Thesis_PhD.html https://web.cs.dal.ca/~mheywood/Thesis/PhD.html
http___hdl.handle.net_10222_54875 http://hdl.handle.net/10222/54875
https___dalspace.library.dal.ca_bitstream_handle_10222_54875_NR27171.PDF https://dalspace.library.dal.ca/bitstream/handle/10222/54875/NR27171.PDF
Wilson:2007:GPEM Introducing probabilistic adaptive mapping developmental genetic programming with redundant mappings
GarnettCarlWilson.html
MalcolmHeywood.html
http___dx.doi.org_10.1007_s10710-007-9027-9 http://dx.doi.org/10.1007/s10710-007-9027-9
1277165 Learning recursive programs with cooperative coevolution of genetic code mapping and genotype
GarnettCarlWilson.html
MalcolmHeywood.html
http___gpbib.cs.ucl.ac.uk_gecco2007_docs_p1053.pdf http://gpbib.cs.ucl.ac.uk/gecco2007/docs/p1053.pdf
http___dx.doi.org_10.1145_1276958.1277165 http://dx.doi.org/10.1145/1276958.1277165
conf/eurogp/WilsonB08 A Comparison of Cartesian Genetic Programming and Linear Genetic Programming
GarnettCarlWilson.html
WolfgangBanzhaf.html
http___dx.doi.org_10.1007_978-3-540-78671-9_16 http://dx.doi.org/10.1007/978-3-540-78671-9_16
Wilson:2008:cec Linear Genetic Programming GPGPU on Microsoft's Xbox 360
GarnettCarlWilson.html
WolfgangBanzhaf.html
http___dx.doi.org_10.1109_CEC.2008.4630825 http://dx.doi.org/10.1109/CEC.2008.4630825
Wilson:2008:sigevo WCCI 2008 Special Session: Computational Intelligence on Consumer Games and Graphics Hardware (CIGPU-2008)
GarnettCarlWilson.html
SimonHarding.html
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Wilson:evows09 Prediction of Interday Stock Prices using Developmental and Linear Genetic Programming
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http___dx.doi.org_10.1007_978-3-642-01129-0_21 http://dx.doi.org/10.1007/978-3-642-01129-0_21
Wilson:2009:GPTP Algorithmic Trading with Developmental and Linear Genetic Programming
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http___dx.doi.org_10.1007_978-1-4419-1626-6_8 http://dx.doi.org/10.1007/978-1-4419-1626-6_8
DBLP:conf/gecco/WilsonB09 Soft memory for stock market analysis using linear and developmental genetic programming
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http___dx.doi.org_10.1145_1569901.1570119 http://dx.doi.org/10.1145/1569901.1570119
DBLP:conf/gecco/WilsonB09a Deployment of CPU and GPU-based genetic programming on heterogeneous devices
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http___dx.doi.org_10.1145_1570256.1570356 http://dx.doi.org/10.1145/1570256.1570356
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http___dx.doi.org_10.1007_s10710-010-9102-5 http://dx.doi.org/10.1007/s10710-010-9102-5
wilson:2010:NCCF Interday and Intraday Stock Trading Using Probabilistic Adaptive Mapping Developmental Genetic Programming and Linear Genetic Programming
GarnettCarlWilson.html
WolfgangBanzhaf.html
http___link.springer.com_chapter_10.1007_978-3-642-13950-5_11 http://link.springer.com/chapter/10.1007/978-3-642-13950-5_11
http___dx.doi.org_10.1007_978-3-642-13950-5_11 http://dx.doi.org/10.1007/978-3-642-13950-5_11
Wilson:2010:gecco Interday foreign exchange trading using linear genetic programming
GarnettCarlWilson.html
WolfgangBanzhaf.html
http___dx.doi.org_10.1145_1830483.1830694 http://dx.doi.org/10.1145/1830483.1830694
Wilson:2010:cec Fast and effective predictability filters for stock price series using linear genetic programming
GarnettCarlWilson.html
WolfgangBanzhaf.html
http___dx.doi.org_10.1109_CEC.2010.5586297 http://dx.doi.org/10.1109/CEC.2010.5586297
Wilson:2011:GECCO Stock trading using linear genetic programming with multiple time frames
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http___dx.doi.org_10.1145_2001576.2001801 http://dx.doi.org/10.1145/2001576.2001801
Wilson:2012:CEC Using Sector Information with Linear Genetic Programming for Intraday Equity Price Trend Analysis
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DerekLeblanc.html
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http___dx.doi.org_10.1109_CEC.2012.6252899 http://dx.doi.org/10.1109/CEC.2012.6252899
wilson:2002:FSVPEGP First Steps towards Violin Performance Extraction using Genetic Programming
RobertScottWilson.html
http___www.genetic-programming.org_sp2002_Wilson.pdf http://www.genetic-programming.org/sp2002/Wilson.pdf
https___ccrma.stanford.edu__rswilson_220c_code_ https://ccrma.stanford.edu/~rswilson/220c/code/
conf/iwcls/Wilson07 Classifier Conditions Using Gene Expression Programming
StewartWWilson.html
http___dx.doi.org_10.1007_978-3-540-88138-4_12 http://dx.doi.org/10.1007/978-3-540-88138-4_12
Wiltshire:2019:JASSS Network Meta-Metrics: Using Evolutionary Computation to Identify Effective Indicators of Epidemiological Vulnerability in a Livestock Production System Model
SergeWiltshire.html
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http___dx.doi.org_10.18564_jasss.3991 http://dx.doi.org/10.18564/jasss.3991
Windisch:2009:SBST Signal Generation for Search-Based Testing of Continuous Systems
AndreasWindisch.html
NouraAlMoubayed.html
http___iaser.tek.bth.se_feldt_conferences_sbst09_papers_windisch_sbst09.pdf http://iaser.tek.bth.se/feldt/conferences/sbst09/papers/windisch_sbst09.pdf
Windisch:2010:gecco Search-based test data generation from stateflow statecharts
AndreasWindisch.html
http___dx.doi.org_10.1145_1830483.1830732 http://dx.doi.org/10.1145/1830483.1830732
wineberg:1994:rsppi A Representation Scheme to Perform Program Induction in a Canonical Genetic Algorithm
MarkWineberg.html
FranzOppacher.html
http___www.cis.uoguelph.ca__wineberg_publications_ppsn94.pdf http://www.cis.uoguelph.ca/~wineberg/publications/ppsn94.pdf
http___www.springer.de_cgi-bin_search_book.pl_isbn_3-540-58484-6 http://www.springer.de/cgi-bin/search_book.pl?isbn=3-540-58484-6
http___dx.doi.org_10.1007_3-540-58484-6_273 http://dx.doi.org/10.1007/3-540-58484-6_273
wineberg:1996:bci The Benefits of Computing with Introns
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FranzOppacher.html
http___cognet.mit.edu_sites_default_files_books_9780262315876_pdfs_9780262315876_chap57.pdf http://cognet.mit.edu/sites/default/files/books/9780262315876/pdfs/9780262315876_chap57.pdf
http___cognet.mit.edu_library_books_view_isbn_0262611279 http://cognet.mit.edu/library/books/view?isbn=0262611279
Winkeler:1997:GPod Genetic Programming for Object Detection
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BSManjunath.html
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winkeler:1998:ieGP Incremental Evolution in Genetic Programming
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http___vision.ece.ucsb.edu_publications_98GP.pdf http://vision.ece.ucsb.edu/publications/98GP.pdf
oai:CiteSeerPSU:160647 Experiments with Genetic Programming for Active Vision Tasks
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Winkler:2006:IPDPS Advances in applying genetic programming to machine learning, focussing on classification problems
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MichaelAffenzeller.html
StefanWagner.html
http___dx.doi.org_10.1109_IPDPS.2006.1639524 http://dx.doi.org/10.1109/IPDPS.2006.1639524
Winkler:2006:GECCOWKS Using Enhanced Genetic Programming Techniques for Evolving Classifiers in the Context of Medical Diagnosis - An Empirical Study
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oai:inderscience.com:12487 Online modelling based on Genetic Programming
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winkler:2007:EUROCAST Selection Pressure Driven Sliding Window Behavior in Genetic Programming Based Structure Identification
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Winkler:2008:gecco Fine-grained population diversity estimation for genetic programming based structure identification
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MichaelAffenzeller.html
StefanWagner.html
http___gpbib.cs.ucl.ac.uk_gecco2008_docs_p1435.pdf http://gpbib.cs.ucl.ac.uk/gecco2008/docs/p1435.pdf
http___dx.doi.org_10.1145_1389095.1389376 http://dx.doi.org/10.1145/1389095.1389376
Winkler:thesis Evolutionary System Identification - Modern Concepts and Practical Applications
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Winkler:book Evolutionary System Identification: Modern Concepts and Practical Applications
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1068 Virtual Sensors for Emissions of a Diesel Engine Produced by Evolutionary System Identification
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LuigidelRe.html
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1069 On the Reliability of Nonlinear Modeling Using Enhanced Genetic Programming Techniques
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StefanWagner.html
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Winkler:2009:IPDPS Fine grained population diversity analysis for parallel genetic programming
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MichaelAffenzeller.html
StefanWagner.html
http___dx.doi.org_10.1109_IPDPS.2009.5161117 http://dx.doi.org/10.1109/IPDPS.2009.5161117
Winkler:2009:GPEM Using enhanced genetic programming techniques for evolving classifiers in the context of medical diagnosis
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MichaelAffenzeller.html
StefanWagner.html
http___dx.doi.org_10.1007_s10710-008-9076-8 http://dx.doi.org/10.1007/s10710-008-9076-8
DBLP:conf/nicso/Winkler10 Structural Versus Evaluation Based Solutions Similarity in Genetic Programming Based System Identification
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http___dx.doi.org_10.1007_978-3-642-12538-6_23 http://dx.doi.org/10.1007/978-3-642-12538-6_23
Winkler:2010:geccocomp Classification of tumor marker values using heuristic data mining methods
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MichaelAffenzeller.html
WitoldJacak.html
HerbertStekel.html
http___dx.doi.org_10.1145_1830761.1830826 http://dx.doi.org/10.1145/1830761.1830826
1793 Using Genetic Programming in Nonlinear Model Identification
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GabrielKronberger.html
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https___link.springer.com_chapter_10.1007_978-1-4471-2221-0_6 https://link.springer.com/chapter/10.1007/978-1-4471-2221-0_6
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2037 Analysis of Selected Evolutionary Algorithms in Feature Selection and Parameter Optimization for Data Based Tumor Marker Modeling
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http___dx.doi.org_10.1007_978-3-642-27549-4_43 http://dx.doi.org/10.1007/978-3-642-27549-4_43
Winkler:2011:GECCOposter Analysis of the effects of enhanced selection concepts for genetic programming based structure identification using fine-grained population diversity estimation
StephanMWinkler.html
MichaelAffenzeller.html
StefanWagner.html
http___dx.doi.org_10.1145_2001858.2001967 http://dx.doi.org/10.1145/2001858.2001967
Winkler:2011:GECCOcomp Identification of cancer diagnosis estimation models using evolutionary algorithms: a case study for breast cancer, melanoma, and cancer in the respiratory system
StephanMWinkler.html
MichaelAffenzeller.html
WitoldJacak.html
HerbertStekel.html
http___dx.doi.org_10.1145_2001858.2002040 http://dx.doi.org/10.1145/2001858.2002040
2399 On the Use of Estimated Tumor Marker Classifications in Tumor Diagnosis Prediction - A Case Study for Breast Cancer
StephanMWinkler.html
MichaelAffenzeller.html
GabrielKronberger.html
MichaelKommenda.html
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http___dx.doi.org_10.1504_IJSPM.2013.055192 http://dx.doi.org/10.1504/IJSPM.2013.055192
https___www.inderscienceonline.com_doi_abs_10.1504_IJSPM.2013.055192 https://www.inderscienceonline.com/doi/abs/10.1504/IJSPM.2013.055192
3074 Analysis of the Relevance of Blood Parameters and Virtual Tumor Markers in Tumor Diagnosis Prediction
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MichaelAffenzeller.html
HerbertStekel.html
http___dx.doi.org_10.1111_j.1349-7006.2008.01022.x http://dx.doi.org/10.1111/j.1349-7006.2008.01022.x
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2735 Analysis of Selected Evolutionary Algorithms in Feature Selection and Parameter Optimization for Data Based Tumor Marker Modeling
StephanMWinkler.html
MichaelAffenzeller.html
GabrielKronberger.html
MichaelKommenda.html
StefanWagner.html
WitoldJacak.html
HerbertStekel.html
https___link.springer.com_chapter_10.1007_978-3-642-27549-4_43 https://link.springer.com/chapter/10.1007/978-3-642-27549-4_43
http___dx.doi.org_10.1007_978-3-642-27549-4_43 http://dx.doi.org/10.1007/978-3-642-27549-4_43
3073 Variable Interaction Networks in Medical Data
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MichaelKommenda.html
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WitoldJacak.html
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https___www.igi-global.com_article_variable-interaction-networks-in-medical-data_102626 https://www.igi-global.com/article/variable-interaction-networks-in-medical-data/102626
Winkler:2013:GECCOcomp Evolutionary identification of cancer predictors using clustered data: a case study for breast cancer, melanoma, and cancer in the respiratory system
StephanMWinkler.html
MichaelAffenzeller.html
HerbertStekel.html
http___dx.doi.org_10.1145_2464576.2466809 http://dx.doi.org/10.1145/2464576.2466809
Winkler:2013:IJSPM On the use of estimated tumour marker classifications in tumour diagnosis prediction - a case study for breast cancer
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MichaelAffenzeller.html
GabrielKronberger.html
MichaelKommenda.html
StefanWagner.html
ViktoriaDorfer.html
WitoldJacak.html
HerbertStekel.html
http___www.inderscience.com_link.php_id_55192 http://www.inderscience.com/link.php?id=55192
http___dx.doi.org_10.1504_IJSPM.2013.055192 http://dx.doi.org/10.1504/IJSPM.2013.055192
3749 Variable Interaction Networks in Medical Data
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https___www.igi-global.com_article_variable-interaction-networks-in-medical-data_102626 https://www.igi-global.com/article/variable-interaction-networks-in-medical-data/102626
http___dx.doi.org_10.4018_ijphim.2013070101 http://dx.doi.org/10.4018/ijphim.2013070101
Winkler:2014:GPTP Sliding Window Symbolic Regression for Detecting Changes of System Dynamics
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MichaelAffenzeller.html
GabrielKronberger.html
MichaelKommenda.html
BogdanBurlacu.html
StefanWagner.html
http___dx.doi.org_10.1007_978-3-319-16030-6_6 http://dx.doi.org/10.1007/978-3-319-16030-6_6
Winkler:2014:GECCOcomp Data based prediction of cancer diagnoses using heterogeneous model ensembles: a case study for breast cancer, melanoma, and cancer in the respiratory system
StephanMWinkler.html
MichaelAffenzeller.html
SusanneSchaller.html
HerbertStekel.html
http___doi.acm.org_10.1145_2598394.2609853 http://doi.acm.org/10.1145/2598394.2609853
http___dx.doi.org_10.1145_2598394.2609853 http://dx.doi.org/10.1145/2598394.2609853
3758 On the Identification of Virtual Tumor Markers and Tumor Diagnosis Predictors Using Evolutionary Algorithms
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GabrielKronberger.html
MichaelKommenda.html
StefanWagner.html
WitoldJacak.html
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http___dx.doi.org_10.1007_978-3-319-01436-4_6 http://dx.doi.org/10.1007/978-3-319-01436-4_6
https___link.springer.com_chapter_10.1007_978-3-319-01436-4_6 https://link.springer.com/chapter/10.1007/978-3-319-01436-4_6
5023 Dynamics of Predictability and Variable Influences Identified in Financial Data Using Sliding Window Machine Learning
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StefanFink.html
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https___link.springer.com_chapter_10.1007_978-3-319-27340-2_41 https://link.springer.com/chapter/10.1007/978-3-319-27340-2_41
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Winkler:2016:GPTP Similarity-based Analysis of Population Dynamics in Genetic Programming Performing Symbolic Regression
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BogdanBurlacu.html
GabrielKronberger.html
MichaelKommenda.html
PhilippFleck.html
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http___dx.doi.org_10.1007_978-3-319-97088-2_1 http://dx.doi.org/10.1007/978-3-319-97088-2_1
winter:1994:est Evolving Software Techniques
CSWinter.html
PaulWAMcIlroy.html
JLFernandes-Villacanas.html
Winter:2020:GI Human Factors in the Study of Automatic Software Repair: Future Directions for Research with Industry
EmilyWinter.html
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TracyHall.html
SaemundurOskarHaraldsson.html
VesnaNowack.html
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http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_gi2020_Winter_2020_GI.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/gi2020/Winter_2020_GI.pdf
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http___dx.doi.org_10.1145_3387940.3392176 http://dx.doi.org/10.1145/3387940.3392176
Winter:TSE Let's Talk With Developers, Not About Developers: A Review of Automatic Program Repair Research
EmilyWinter.html
VesnaNowack.html
DavidBowes.html
SteveCounsell.html
TracyHall.html
SaemundurOskarHaraldsson.html
JohnRWoodward.html
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http___dx.doi.org_10.1109_TSE.2022.3152089 http://dx.doi.org/10.1109/TSE.2022.3152089
Wirsansky:book Hands-On Genetic Algorithms with Python
EyalWirsansky.html
https___www.packtpub.com_product_hands-on-genetic-algorithms-with-python_9781838557744 https://www.packtpub.com/product/hands-on-genetic-algorithms-with-python/9781838557744
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witkor00 Genetic programming based observers for nonlinear systems
MarcinWitczak.html
JozefKorbicz.html
http___www.sciencedirect.com_science_article_pii_S1474667017374839 http://www.sciencedirect.com/science/article/pii/S1474667017374839
http___dx.doi.org_10.1016_S1474-6670_17_37483-9 http://dx.doi.org/10.1016/S1474-6670(17)37483-9
witkor01 An evolutionary approach to identification of nonlinear dynamic systems
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JozefKorbicz.html
http___www.springer.com_computer_ai_book_978-3-211-83651-4 http://www.springer.com/computer/ai/book/978-3-211-83651-4
witkor01a Robustifying an extended unknown input observer with genetic programming
MarcinWitczak.html
JozefKorbicz.html
Witczak:thesis Identification and Fault Detection of Non-Linear Dynamic Systems
MarcinWitczak.html
http___zbc.uz.zgora.pl_Content_2310_Witczak_PhdBook.pdf http://zbc.uz.zgora.pl/Content/2310/Witczak_PhdBook.pdf
https___zbc.uz.zgora.pl_dlibra_publication_1916_edition_2310 https://zbc.uz.zgora.pl/dlibra/publication/1916/edition/2310
witczak:2002:IJC Genetic programming based approaches to identification and fault diagnosis of non-linear dynamic systems
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AndrzejObuchowicz.html
JozefKorbicz.html
http___dx.doi.org_10.1080_00207170210156224 http://dx.doi.org/10.1080/00207170210156224
Witczak:2002:WNT Genetic programming in identification and fault detection of non-linear dynamic systems
MarcinWitczak.html
JozefKorbicz.html
withall:2002:gecco Evolving Readable Perl
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ChrisJHinde.html
RogerGStone.html
http___gpbib.cs.ucl.ac.uk_gecco2002_GP083.ps http://gpbib.cs.ucl.ac.uk/gecco2002/GP083.ps
http___gpbib.cs.ucl.ac.uk_gecco2002_GP083.pdf http://gpbib.cs.ucl.ac.uk/gecco2002/GP083.pdf
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_gecco2002_gecco-2002-15.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/gecco2002/gecco-2002-15.pdf
withall:2002:gecco:lbp Evolving Perl
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ChrisJHinde.html
RogerGStone.html
Withall:thesis The evolution of complete software systems
MarkSWithall.html
http___hdl.handle.net_2134_3594 http://hdl.handle.net/2134/3594
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Withall:2004:UKWCI Evolving the user interface
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ChrisJHinde.html
RogerGStone.html
http___hdl.handle.net_2134_4023 http://hdl.handle.net/2134/4023
https___dspace.lboro.ac.uk_dspace-jspui_bitstream_2134_4023_3_withall2004.pdf https://dspace.lboro.ac.uk/dspace-jspui/bitstream/2134/4023/3/withall2004.pdf
Withall:2009:GPEM An improved representation for evolving programs
MarkSWithall.html
ChrisJHinde.html
RogerGStone.html
http___dx.doi.org_10.1007_s10710-008-9069-7 http://dx.doi.org/10.1007/s10710-008-9069-7
http___results.ref.ac.uk_Submissions_Output_2828879 http://results.ref.ac.uk/Submissions/Output/2828879
Witten:2020:CEC Feasibility of Genetic Programming for the Optimization of Tissue-Type-Segmented Maps in the Generation of Synthetic CT in Radiation Therapy Treatment Planning
MatthewWitten.html
OwenClancey.html
http___www.human-competitive.org_sites_default_files_wittenclanceyhumiesubmission.txt http://www.human-competitive.org/sites/default/files/wittenclanceyhumiesubmission.txt
http___www.human-competitive.org_sites_default_files_cec_2020_witten_clancey_post_acceptance_draft1.pdf http://www.human-competitive.org/sites/default/files/cec_2020_witten_clancey_post_acceptance_draft1.pdf
http___dx.doi.org_10.1109_CEC48606.2020.9185768 http://dx.doi.org/10.1109/CEC48606.2020.9185768
http___www.human-competitive.org_sites_default_files_witten_clancey_2021_humie_video.mp4 http://www.human-competitive.org/sites/default/files/witten_clancey_2021_humie_video.mp4
Wittenberg:2020:GECCO DAE-GP: Denoising Autoencoder LSTM Networks as Probabilistic Models in Estimation of Distribution Genetic Programming
DavidWittenberg.html
FranzRothlauf.html
DirkSchweim.html
https___doi.org_10.1145_3377930.3390180 https://doi.org/10.1145/3377930.3390180
http___dx.doi.org_10.1145_3377930.3390180 http://dx.doi.org/10.1145/3377930.3390180
Wittenberg:2021:euro Using denoising autoencoder LSTM networks to balance exploration and exploitation in estimation of distribution genetic programming
DavidWittenberg.html
FranzRothlauf.html
https___www.euro-online.org_conf_euro31_treat_abstract_paperid_3310 https://www.euro-online.org/conf/euro31/treat_abstract?paperid=3310
https___liser.elsevierpure.com_ws_portalfiles_portal_32968251_abstract_book_euro31.pdf https://liser.elsevierpure.com/ws/portalfiles/portal/32968251/abstract_book_euro31.pdf
Wittenberg:2022:EuroGP Using Denoising Autoencoder Genetic Programming to Control Exploration and Exploitation in Search
DavidWittenberg.html
http___dx.doi.org_10.1007_978-3-031-02056-8_7 http://dx.doi.org/10.1007/978-3-031-02056-8_7
wittenberg:2022:GECCOcomp Denoising Autoencoder Genetic Programming for Real-World Symbolic Regression
DavidWittenberg.html
FranzRothlauf.html
http___dx.doi.org_10.1145_3520304.3528921 http://dx.doi.org/10.1145/3520304.3528921
Wittenberg:2023:EuroGP Small Solutions for Real-World Symbolic Regression using Denoising Autoencoder Genetic Programming
DavidWittenberg.html
FranzRothlauf.html
https___rdcu.be_c8UQO https://rdcu.be/c8UQO
http___dx.doi.org_10.1007_978-3-031-29573-7_7 http://dx.doi.org/10.1007/978-3-031-29573-7_7
Wittenberg:2023:GPEM Denoising autoencoder genetic programming: strategies to control exploration and exploitation in search
DavidWittenberg.html
FranzRothlauf.html
ChristianGagne.html
https___rdcu.be_dqFao https://rdcu.be/dqFao
http___dx.doi.org_10.1007_s10710-023-09462-2 http://dx.doi.org/10.1007/s10710-023-09462-2
conf/cig/WittkampB06 Evolving Adaptive Play for the Game of Spoof Using Genetic Programming
MarkWittkamp.html
LuigiBarone.html
https___www.cse.unr.edu__sushil_cig06_proceedings_cigv5.pdf https://www.cse.unr.edu/~sushil/cig06/proceedings/cigv5.pdf
http___dx.doi.org_10.1109_CIG.2006.311696 http://dx.doi.org/10.1109/CIG.2006.311696
Wittkamp:2007:CISDA A comparison of genetic programming and look-up table learning for the game of spoof
MarkWittkamp.html
LuigiBarone.html
LyndonWhile.html
http___dx.doi.org_10.1109_CIG.2007.368080 http://dx.doi.org/10.1109/CIG.2007.368080
wojnicki:2022:Energies An Experimental Investigation of WAG Injection in a Carbonate Reservoir and Prediction of the Recovery Factor Using Genetic Programming
MiroslawWojnicki.html
JanLubas.html
MateuszGawronski.html
SlawomirSzuflita.html
JerzyKusnierczyk.html
MarcinWarnecki.html
https___www.mdpi.com_1996-1073_15_6_2127 https://www.mdpi.com/1996-1073/15/6/2127
http___dx.doi.org_10.3390_en15062127 http://dx.doi.org/10.3390/en15062127
wolff:2001:eegabruvf Evolution of Efficient Gait with Autonomous Biped Robot Using Visual Feedback
KristerWolff.html
PeterNordin.html
WolNor01 Evolution of Efficient Gait with Humanoids using Visual Feedback
KristerWolff.html
PeterNordin.html
http___fy.chalmers.se__wolff_WN_Humanoids01.pdf http://fy.chalmers.se/~wolff/WN_Humanoids01.pdf
WolNor02b Walking humanoids for robotics research
KristerWolff.html
PeterNordin.html
http___cogprints.org_2533_1_Wolff.pdf http://cogprints.org/2533/1/Wolff.pdf
WolNor02a Evolution of Efficient Gait with an Autonomous Biped Robot using Visual Feedback
KristerWolff.html
PeterNordin.html
http___www4.cs.umanitoba.ca__jacky_Robotics_Papers_wolff-walking-visual-feedback.pdf http://www4.cs.umanitoba.ca/~jacky/Robotics/Papers/wolff-walking-visual-feedback.pdf
WolNor02 Physically Realistic Simulators and Autonomous Humanoid Robots as Platforms for Evolution of Biped Walking Behavior using Genetic Programming
KristerWolff.html
PeterNordin.html
https___research.chalmers.se_en_publication_72899 https://research.chalmers.se/en/publication/72899
wolff:2003:gecco Learning Biped Locomotion from First Principles on a Simulated Humanoid Robot Using Linear Genetic Programming
KristerWolff.html
PeterNordin.html
http___fy.chalmers.se__wolff_WN_gecco03.pdf http://fy.chalmers.se/~wolff/WN_gecco03.pdf
http___dx.doi.org_10.1007_3-540-45105-6_61 http://dx.doi.org/10.1007/3-540-45105-6_61
wolff:2003d Evolutionary Humanoids for Embodied Artificial Intelligence
KristerWolff.html
https___research.chalmers.se_en_publication_2099 https://research.chalmers.se/en/publication/2099
wolff:2003c An Evolutionary Based Approach for Control Programming of Humanoids
KristerWolff.html
PeterNordin.html
https___research.chalmers.se_en_publication_72877 https://research.chalmers.se/en/publication/72877
http___fy.chalmers.se__wolff_WN_Humanoids03.pdf http://fy.chalmers.se/~wolff/WN_Humanoids03.pdf
wolff:2003a Evolutionary Learning from First Principles of Biped Walking on a Simulated Humanoid Robot
KristerWolff.html
PeterNordin.html
http___fy.chalmers.se__wolff_robot1.avi http://fy.chalmers.se/~wolff/robot1.avi
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Wolff:thesis Generation and Optimization of Motor Behaviors in Real and Simulated Robots
KristerWolff.html
http___www.me.chalmers.se__mwahde_AdaptiveSystems_PhDTheses_KristerWolff_PhDThesis.pdf http://www.me.chalmers.se/~mwahde/AdaptiveSystems/PhDTheses/KristerWolff_PhDThesis.pdf
wolff:2007:cwrtna Evolution of Biped Locomotion Using Linear Genetic Programming
KristerWolff.html
MattiasWahde.html
http___dx.doi.org_10.5772_5088 http://dx.doi.org/10.5772/5088
Wolff:2008:cec Evolutionary Optimization of a Bipedal Gait in a Physical Robot
KristerWolff.html
DavidSandberg.html
MattiasWahde.html
http___ieeexplore.ieee.org_stamp_stamp.jsp_arnumber_04630835 http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=04630835
http___dx.doi.org_10.1109_CEC.2008.4630835 http://dx.doi.org/10.1109/CEC.2008.4630835
Wolfson:2009:EA Efficient List Search Algorithms
KfirWolfson.html
MosheSipper.html
http___www.cs.bgu.ac.il__wolfsonk_sublinear_draft.pdf http://www.cs.bgu.ac.il/~wolfsonk/sublinear_draft.pdf
http___dx.doi.org_10.1007_978-3-642-14156-0_14 http://dx.doi.org/10.1007/978-3-642-14156-0_14
Wolfson:2011:GPEM Have your spaghetti and eat it too: evolutionary algorithmics and post-evolutionary analysis
KfirWolfson.html
ShayZakov.html
MosheSipper.html
MichalZiv-Ukelson.html
http___www.cs.bgu.ac.il__wolfsonk_gpea_draft.pdf http://www.cs.bgu.ac.il/~wolfsonk/gpea_draft.pdf
http___dx.doi.org_10.1007_s10710-010-9122-1 http://dx.doi.org/10.1007/s10710-010-9122-1
wollesen:1999:B Beowulf anytime for evolutionary computation
EricAWollesen.html
NicolaiKrakowiak.html
JasonMDaida.html
wong:2000:SMSPLHMMUGP Simultaneous Model Selection and Parameter Learning of Hidden Markov Model Using Genetic Programming
DikKinWong.html
wong:1994:ilpuga Inductive Logic Programming Using Genetic Algorithms
ManLeungWong.html
Kwong-SakLeung.html
wong:1994:l1rnd Learning First-order Relations from Noisy Databases using Genetic Algorithms
ManLeungWong.html
Kwong-SakLeung.html
http___cptra.ln.edu.hk__mlwong_conference_spicis1994.pdf http://cptra.ln.edu.hk/~mlwong/conference/spicis1994.pdf
wong:1995:glp Inducing logic programs with genetic algorithms: the Genetic Logic Programming System
ManLeungWong.html
Kwong-SakLeung.html
http___dx.doi.org_10.1109_64.464935 http://dx.doi.org/10.1109/64.464935
wong:1995:ilpGP An adaptive Inductive Logic Programming system using Genetic Programming
ManLeungWong.html
Kwong-SakLeung.html
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http___ieeexplore.ieee.org_xpl_articleDetails.jsp_arnumber_6300813 http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6300813
http___dx.doi.org_10.7551_mitpress_2887.003.0062 http://dx.doi.org/10.7551/mitpress/2887.003.0062
wong:1995:lpdpGP Learning Programs in Different Paradigms using Genetic Programming
ManLeungWong.html
Kwong-SakLeung.html
http___cptra.ln.edu.hk__mlwong_conference_aiia1995.pdf http://cptra.ln.edu.hk/~mlwong/conference/aiia1995.pdf
wong:1995:islpdpl An Induction System that Learns Programs in different Programming Languages using Genetic Programming and Logic Grammars
ManLeungWong.html
Kwong-SakLeung.html
http___dx.doi.org_10.1109_TAI.1995.479782 http://dx.doi.org/10.1109/TAI.1995.479782
wong:1995:cGPilp Combining Genetic Programming and Inductive Logic Programming using Logic Grammars
ManLeungWong.html
Kwong-SakLeung.html
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wong:1995:algsf Applying Logic Grammars to Induce Sub-Functions in Genetic Programming
ManLeungWong.html
Kwong-SakLeung.html
http___cptra.ln.edu.hk__mlwong_conference_icec1995b.pdf http://cptra.ln.edu.hk/~mlwong/conference/icec1995b.pdf
wong:1996:aigp2 Evolving Recursive Functions for the Even-Parity Problem Using Genetic Programming
ManLeungWong.html
Kwong-SakLeung.html
http___ieeexplore.ieee.org_xpl_articleDetails.jsp_tp__arnumber_6277537 http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6277537
http___dx.doi.org_10.7551_mitpress_1109.003.0016 http://dx.doi.org/10.7551/mitpress/1109.003.0016
wong:1996:lrfneGGP Learning Recursive Functions from Noisy Examples using Generic Genetic Programming
ManLeungWong.html
Kwong-SakLeung.html
http___cptra.ln.edu.hk__mlwong_conference_gp1996.pdf http://cptra.ln.edu.hk/~mlwong/conference/gp1996.pdf
http___cognet.mit.edu_sites_default_files_books_9780262315876_pdfs_9780262315876_chap29.pdf http://cognet.mit.edu/sites/default/files/books/9780262315876/pdfs/9780262315876_chap29.pdf
http___cognet.mit.edu_library_books_view_isbn_0262611279 http://cognet.mit.edu/library/books/view?isbn=0262611279
wong:1996:l-g-bGPs The Logic-Grammars-Based Genetic Programming System
ManLeungWong.html
Kwong-SakLeung.html
http___cptra.ln.edu.hk__mlwong_conference_gp1996b.pdf http://cptra.ln.edu.hk/~mlwong/conference/gp1996b.pdf
http___cognet.mit.edu_sites_default_files_books_9780262315876_pdfs_9780262315876_chap72.pdf http://cognet.mit.edu/sites/default/files/books/9780262315876/pdfs/9780262315876_chap72.pdf
http___cognet.mit.edu_library_books_view_isbn_0262611279 http://cognet.mit.edu/library/books/view?isbn=0262611279
ManLeungWong:thesis Evolutionary Program Induction Directed by Logic Grammars
ManLeungWong.html
http___etheses.lib.cuhk.edu.hk_pdf_000743570.pdf http://etheses.lib.cuhk.edu.hk/pdf/000743570.pdf
ManLeungWong:1997:epidlg Evolutionary Program Induction Directed by Logic Grammars
ManLeungWong.html
Kwong-SakLeung.html
http___cptra.ln.edu.hk__mlwong_journal_ec1997.pdf http://cptra.ln.edu.hk/~mlwong/journal/ec1997.pdf
http___www.mitpressjournals.org_doi_pdfplus_10.1162_evco.1997.5.2.143 http://www.mitpressjournals.org/doi/pdfplus/10.1162/evco.1997.5.2.143
http___dx.doi.org_10.1162_evco.1997.5.2.143 http://dx.doi.org/10.1162/evco.1997.5.2.143
wong:1998:ESA An adaptive knowledge-acquisition system using generic genetic programming
ManLeungWong.html
http___dx.doi.org_10.1016_S0957-4174_98_00010-4 http://dx.doi.org/10.1016/S0957-4174(98)00010-4
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http___www.sciencedirect.com_science_article_B6V03-3TGSH84-3_1_83b0941e6fae053fea766e293d408cf9 http://www.sciencedirect.com/science/article/B6V03-3TGSH84-3/1/83b0941e6fae053fea766e293d408cf9
ManLeungWong:book Data Mining Using Grammar Based Genetic Programming and Applications
ManLeungWong.html
Kwong-SakLeung.html
http___www.springer.com_computer_ai_book_978-0-7923-7746-7 http://www.springer.com/computer/ai/book/978-0-7923-7746-7
wong:2000:dkm Discovering knowledge from medical databases using evolutionory algorithms
ManLeungWong.html
WaiLam.html
Kwong-SakLeung.html
PoShunNgan.html
JackChun-yiuCheng.html
http___ieeexplore.ieee.org_iel5_51_18543_00853481.pdf http://ieeexplore.ieee.org/iel5/51/18543/00853481.pdf
Wong:2000:JASIS Discovering Knowledge from Noisy Databases using Genetic Programming
ManLeungWong.html
Kwong-SakLeung.html
JackChun-yiuCheng.html
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Wong:2001:DSS A Flexible Knowledge Discovery System using Genetic Programming and Logic Grammars
ManLeungWong.html
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http___dx.doi.org_10.1016_S0167-9236_01_00092-6 http://dx.doi.org/10.1016/S0167-9236(01)00092-6
wong:aspgp03 Applying Adaptive Grammar Based Genetic Programming in Evolving Recursive Programs
ManLeungWong.html
http___cptra.ln.edu.hk__mlwong_conference_aspgp2003.pdf http://cptra.ln.edu.hk/~mlwong/conference/aspgp2003.pdf
wong:2005:GPEM Evolving Recursive Programs by Using Adaptive Grammar Based Genetic Programming
ManLeungWong.html
http___cptra.ln.edu.hk__mlwong_journal_gpem2005.pdf http://cptra.ln.edu.hk/~mlwong/journal/gpem2005.pdf
http___dx.doi.org_10.1007_s10710-005-4805-8 http://dx.doi.org/10.1007/s10710-005-4805-8
Wong:2014:CEC Grammar-Based Genetic Programming with Bayesian Network
Pak-KanWong.html
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ManLeungWong.html
Kwong-SakLeung.html
http___dx.doi.org_10.1109_CEC.2014.6900423 http://dx.doi.org/10.1109/CEC.2014.6900423
Wong:2014:GECCO Grammar-based genetic programming with dependence learning and bayesian network classifier
Pak-KanWong.html
_Peter_Leung-YauLo.html
ManLeungWong.html
Kwong-SakLeung.html
http___doi.acm.org_10.1145_2576768.2598256 http://doi.acm.org/10.1145/2576768.2598256
http___dx.doi.org_10.1145_2576768.2598256 http://dx.doi.org/10.1145/2576768.2598256
Wong:2016:PPSN Hierarchical Knowledge in Self-Improving Grammar Based Genetic Programming
Pak-KanWong.html
ManLeungWong.html
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http___dx.doi.org_10.1007_978-3-319-45823-6_25 http://dx.doi.org/10.1007/978-3-319-45823-6_25
conf/tpnc/WongWL16 Learning Grammar Rules in Probabilistic Grammar-Based Genetic Programming
Pak-KanWong.html
ManLeungWong.html
Kwong-SakLeung.html
http___dx.doi.org_10.1007_978-3-319-49001-4_17 http://dx.doi.org/10.1007/978-3-319-49001-4_17
Wong:2019:GECCOcomp Probabilistic grammar-based deep neuroevolution
Pak-KanWong.html
ManLeungWong.html
Kwong-SakLeung.html
http___dx.doi.org_10.1145_3319619.3326778 http://dx.doi.org/10.1145/3319619.3326778
Wong:2019:GECCOcompa Semantic fitness function in genetic programming based on semantics flow analysis
Pak-KanWong.html
ManLeungWong.html
Kwong-SakLeung.html
http___dx.doi.org_10.1145_3319619.3321960 http://dx.doi.org/10.1145/3319619.3321960
WONG:2019:eswa Probabilistic grammar-based neuroevolution for physiological signal classification of ventricular tachycardia
Pak-KanWong.html
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ManLeungWong.html
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http___www.sciencedirect.com_science_article_pii_S0957417419304129 http://www.sciencedirect.com/science/article/pii/S0957417419304129
Pak-Kan_Wong:EC Probabilistic Contextual and Structural Dependencies Learning in Grammar-Based Genetic Programming
Pak-KanWong.html
ManLeungWong.html
Kwong-SakLeung.html
http___dx.doi.org_10.1162_evco_a_00280 http://dx.doi.org/10.1162/evco_a_00280
vuw-CS-TR-06-7 Algebraic Simplification of Genetic Programs during Evolution
PhillipWong.html
MengjieZhang.html
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1144156 Algebraic simplification of GP programs during evolution
PhillipWong.html
MengjieZhang.html
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Wong:2006:CS-TR-06-15 Numerical-node building block analysis of genetic programming with simplification
PhillipWong.html
MengjieZhang.html
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http___www.mcs.vuw.ac.nz_comp_Publications_archive_CS-TR-06_CS-TR-06-15.ps.gz http://www.mcs.vuw.ac.nz/comp/Publications/archive/CS-TR-06/CS-TR-06-15.ps.gz
1277311 Numerical-node building block analysis of genetic programming with simplification
PhillipWong.html
MengjieZhang.html
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Wong:2007:cec Effects of Program Simplification on Simple Building Blocks in Genetic Programming
PhillipWong.html
MengjieZhang.html
http___dx.doi.org_10.1109_CEC.2007.4424660 http://dx.doi.org/10.1109/CEC.2007.4424660
Wong:2008:cec SCHEME: Caching Subtrees in Genetic Programming
PhillipWong.html
MengjieZhang.html
http___dx.doi.org_10.1109_CEC.2008.4631158 http://dx.doi.org/10.1109/CEC.2008.4631158
Wong:2010:WCRE Reverse Engineering Utility Functions Using Genetic Programming to Detect Anomalous Behavior in Software
SunnyWong.html
MelissaAaron.html
JeffreySegall.html
KevinLynch.html
SpirosMancoridis.html
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http___dx.doi.org_10.1109_WCRE.2010.23 http://dx.doi.org/10.1109/WCRE.2010.23
Wong2009649 EvoArch: An evolutionary algorithm for architectural layout design
SamuelSYWong.html
KeithCCChan.html
https___research.polyu.edu.hk_en_publications_evoarch-an-evolutionary-algorithm-for-architectural-layout-design https://research.polyu.edu.hk/en/publications/evoarch-an-evolutionary-algorithm-for-architectural-layout-design
http___dx.doi.org_10.1016_j.cad.2009.04.005 http://dx.doi.org/10.1016/j.cad.2009.04.005
Wing-KwongWong:2011:TAAI Reinforcement Learning of Robotic Motion with Genetic Programming, Simulated Annealing and Self-Organizing Map
Wing-KwongWong.html
Hsin-YuChen.html
Chung-YouHsu.html
Tsung-KaiChao.html
http___dx.doi.org_10.1109_TAAI.2011.57 http://dx.doi.org/10.1109/TAAI.2011.57
Wong:2023:SJ Synthesizing Missing Travel Time of P-Wave and S-Wave: A Two-Stage Evolutionary Modeling Approach
WeiKittWong.html
FilbertHJuwono.html
YohanesNuwara.html
JefferyTHKong.html
http___dx.doi.org_10.1109_JSEN.2023.3280708 http://dx.doi.org/10.1109/JSEN.2023.3280708
Wongpheng:2020:ITC-CSCC Software Defect Prediction using Convolutional Neural Network
KittisakWongpheng.html
PorawatVisutsak.html
http___ieeexplore.ieee.org_xpl_articleDetails.jsp_tp__arnumber_9182919 http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=9182919
journals/isci/WongsereeCVWF07 Thalassaemia classification by neural networks and genetic programming
WaranyuWongseree.html
NacholChaiyaratana.html
KanjanaVichittumaros.html
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http___dx.doi.org_10.1016_j.ins.2006.07.009 http://dx.doi.org/10.1016/j.ins.2006.07.009
woodward:1999:GPatnlds Genetic programming as an analytical tool for non-linear dielectric spectroscopy
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DouglasBKell.html
http___www.sciencedirect.com_science_article_B6TF7-3WJ72RJ-T_2_19fd01a6eb6ae0b8e12b2bb2218fb6e9 http://www.sciencedirect.com/science/article/B6TF7-3WJ72RJ-T/2/19fd01a6eb6ae0b8e12b2bb2218fb6e9
http___dx.doi.org_10.1016_S0302-4598_99_00022-7 http://dx.doi.org/10.1016/S0302-4598(99)00022-7
Clinton_Jon_Woodward_Thesis Ecosystems, Complexity, Topology and Evolutionary Computation
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https___researchbank.swinburne.edu.au_file_9f3f293b-d5a8-4c95-88b5-c73eee5bcf9b_1_Clinton_20Jon_20Woodward_20Thesis.pdf https://researchbank.swinburne.edu.au/file/9f3f293b-d5a8-4c95-88b5-c73eee5bcf9b/1/Clinton%20Jon%20Woodward%20Thesis.pdf
woodward03 Modularity in Genetic Programming
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http___www.cs.bham.ac.uk__jrw_publications_2003_ModularityinGeneticProgramming_modularity.ps http://www.cs.bham.ac.uk/~jrw/publications/2003/ModularityinGeneticProgramming/modularity.ps
http___dx.doi.org_10.1007_3-540-36599-0_23 http://dx.doi.org/10.1007/3-540-36599-0_23
woodward03b No Free Lunch, Program Induction and Combinatorial Problems
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http___www.cs.bham.ac.uk__jrw_publications_2003_NoFreeLunchProgramInductionandCombinatorialProblems_nfl.ps http://www.cs.bham.ac.uk/~jrw/publications/2003/NoFreeLunchProgramInductionandCombinatorialProblems/nfl.ps
http___dx.doi.org_10.1007_3-540-36599-0_45 http://dx.doi.org/10.1007/3-540-36599-0_45
Woodward:2003:Etcr Evolving Turing complete representations
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http___www.cs.bham.ac.uk__jrw_publications_2003_EvolvingTuringCompleteRepresentations_cec032e.pdf http://www.cs.bham.ac.uk/~jrw/publications/2003/EvolvingTuringCompleteRepresentations/cec032e.pdf
http___dx.doi.org_10.1109_CEC.2003.1299753 http://dx.doi.org/10.1109/CEC.2003.1299753
woodward:2003:gogtintq GA or GP? That is not the question
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woodward:2004:lbp Simple Incremental Testing
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http___gpbib.cs.ucl.ac.uk_gecco2004_LBP055.pdf http://gpbib.cs.ucl.ac.uk/gecco2004/LBP055.pdf
woodward:2004:mod:jrwoo Function Set Independent Genetic Programming
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http___gpbib.cs.ucl.ac.uk_gecco2004_WMOD013.pdf http://gpbib.cs.ucl.ac.uk/gecco2004/WMOD013.pdf
woodward:2005:UKCIa Complexity and Cartesian Genetic Programming
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http___www.dcs.bbk.ac.uk_ukci05_ukci05proceedings.pdf http://www.dcs.bbk.ac.uk/ukci05/ukci05proceedings.pdf
woodward:2005:UKCIb Invariance of Function Complexity under Primitive Recursive Functions
JohnRWoodward.html
http___www.dcs.bbk.ac.uk_ukci05_ukci05proceedings.pdf http://www.dcs.bbk.ac.uk/ukci05/ukci05proceedings.pdf
woodward:thesis Algorithm Induction, Modularity and Complexity
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http___www.cs.stir.ac.uk__jrw_publications_thesis.pdf http://www.cs.stir.ac.uk/~jrw/publications/thesis.pdf
eurogp06:WoodwardC Complexity and Cartesian Genetic Programming
JohnRWoodward.html
http___dx.doi.org_10.1007_11729976_23 http://dx.doi.org/10.1007/11729976_23
eurogp06:Woodward Invariance of Function Complexity under Primitive Recursive Functions
JohnRWoodward.html
http___dx.doi.org_10.1007_11729976_28 http://dx.doi.org/10.1007/11729976_28
WoodwardB:2009:GEC Canonical representation genetic programming
JohnRWoodward.html
RuibinBai.html
http___www.cs.nott.ac.uk__jrw_publications_canonical.pdf http://www.cs.nott.ac.uk/~jrw/publications/canonical.pdf
http___dx.doi.org_10.1145_1543834.1543914 http://dx.doi.org/10.1145/1543834.1543914
WoodwardB:2009:GECa Why evolution is not a good paradigm for program induction: a critique of genetic programming
JohnRWoodward.html
RuibinBai.html
http___www.cs.nott.ac.uk__jrw_publications_notEvolution.pdf http://www.cs.nott.ac.uk/~jrw/publications/notEvolution.pdf
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.207.9680 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.207.9680
http___dx.doi.org_10.1145_1543834.1543915 http://dx.doi.org/10.1145/1543834.1543915
Woodward:2009:CI Exploring Hyper-heuristic Methodologies with Genetic Programming
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GrahamKendall.html
GabrielaOchoa.html
EnderOzcan.html
JohnRWoodward.html
http___www.cs.nott.ac.uk__gxo_papers_ChapterGPasHH09.pdf http://www.cs.nott.ac.uk/~gxo/papers/ChapterGPasHH09.pdf
http___dx.doi.org_10.1007_978-3-642-01799-5_6 http://dx.doi.org/10.1007/978-3-642-01799-5_6
Woodward:book Program Induction, Complexity and Occam's Razor: The Induction of Computable Functions, Modularity and No Free Lunch Theorems
JohnRWoodward.html
http___www.amazon.co.uk_Program-Induction-Complexity-Occams-Razor_dp_3838389344 http://www.amazon.co.uk/Program-Induction-Complexity-Occams-Razor/dp/3838389344
Woodward:2011:GPEM Gisele L. Pappa, Alex Freitas: Automating the design of data mining algorithms, an evolutionary computation approach, Springer, 187 pages, ISBN-13: 978-3642025402
JohnRWoodward.html
http___dx.doi.org_10.1007_s10710-010-9119-9 http://dx.doi.org/10.1007/s10710-010-9119-9
Woodward:2011:GECCOcomp Automatically designing selection heuristics
JohnRWoodward.html
JerrySwan.html
http___dx.doi.org_10.1145_2001858.2002052 http://dx.doi.org/10.1145/2001858.2002052
Woodward:2012:GECCOcomp The automatic generation of mutation operators for genetic algorithms
JohnRWoodward.html
JerrySwan.html
http___dx.doi.org_10.1145_2330784.2330796 http://dx.doi.org/10.1145/2330784.2330796
Woodward:2010:ICRM A hyper-heuristic multi-criteria decision support system for eco-efficient product life cycle
JohnRWoodward.html
NabilGindy.html
http___dx.doi.org_10.1049_cp.2010.0436 http://dx.doi.org/10.1049/cp.2010.0436
Woodward:2014:GECCOcomp Benchmarks that matter for genetic programming
JohnRWoodward.html
SimonMartin.html
JerrySwan.html
http___doi.acm.org_10.1145_2598394.2609875 http://doi.acm.org/10.1145/2598394.2609875
http___dx.doi.org_10.1145_2598394.2609875 http://dx.doi.org/10.1145/2598394.2609875
Woodward:2014:GECCOcompa Template method hyper-heuristics
JohnRWoodward.html
JerrySwan.html
http___doi.acm.org_10.1145_2598394.2609843 http://doi.acm.org/10.1145/2598394.2609843
http___dx.doi.org_10.1145_2598394.2609843 http://dx.doi.org/10.1145/2598394.2609843
Woodward:2015:hclhswe How computers are learning to make human software work more efficiently
JohnRWoodward.html
JustynaPetke.html
WilliamBLangdon.html
http___theconversation.com_how-computers-are-learning-to-make-human-software-work-more-efficiently-43798 http://theconversation.com/how-computers-are-learning-to-make-human-software-work-more-efficiently-43798
Woodward:2016:GI GP vs GI: if you can't beat them, join them
JohnRWoodward.html
ColinGJohnson.html
AlexanderEIBrownlee.html
http___geneticimprovementofsoftware.com_wp-content_uploads_2016_06_GP_vs_GI_if_you_can_E2_80_99t_beat_them_join_them.pdf http://geneticimprovementofsoftware.com/wp-content/uploads/2016/06/GP_vs_GI_if_you_can%E2%80%99t_beat_them_join_them.pdf
http___dx.doi.org_10.1145_2908961.2931694 http://dx.doi.org/10.1145/2908961.2931694
Woodward:2016:GIa Evals is not enough: why we should report wall-clock time
JohnRWoodward.html
AlexanderEIBrownlee.html
ColinGJohnson.html
http___geneticimprovementofsoftware.com_wp-content_uploads_2016_06_Evals_is_not_enough_why_we_should_report_wall-clock_time.pdf http://geneticimprovementofsoftware.com/wp-content/uploads/2016/06/Evals_is_not_enough_why_we_should_report_wall-clock_time.pdf
http___dx.doi.org_10.1145_2908961.2931695 http://dx.doi.org/10.1145/2908961.2931695
Woodward:2016:GECCOcomp Connecting Automatic Parameter Tuning, Genetic Programming as a Hyper-heuristic, and Genetic Improvement Programming
JohnRWoodward.html
ColinGJohnson.html
AlexanderEIBrownlee.html
http___hdl.handle.net_1893_23394 http://hdl.handle.net/1893/23394
https___dspace.stir.ac.uk_bitstream_1893_23394_1_ecada03_20_284_29.pdf https://dspace.stir.ac.uk/bitstream/1893/23394/1/ecada03%20%284%29.pdf
http___dx.doi.org_10.1145_2908961.2931728 http://dx.doi.org/10.1145/2908961.2931728
1277296 Genetic evolution of hierarchical behavior structures
BrianGWoolley.html
GilbertLPeterson.html
http___gpbib.cs.ucl.ac.uk_gecco2007_docs_p1731.pdf http://gpbib.cs.ucl.ac.uk/gecco2007/docs/p1731.pdf
http___dx.doi.org_10.1145_1276958.1277296 http://dx.doi.org/10.1145/1276958.1277296
Worm:2013:GECCO Prioritized grammar enumeration: symbolic regression by dynamic programming
TonyWorm.html
KennethChiu.html
http___dx.doi.org_10.1145_2463372.2463486 http://dx.doi.org/10.1145/2463372.2463486
https___github.com_verdverm_pypge https://github.com/verdverm/pypge
Worm:thesis Prioritized Grammar Enumeration: A novel method for symbolic regression
TonyWorm.html
https___suny-bin.primo.exlibrisgroup.com_permalink_01SUNY_BIN_1rqmqsn_alma990035658160204802 https://suny-bin.primo.exlibrisgroup.com/permalink/01SUNY_BIN/1rqmqsn/alma990035658160204802
https___www.proquest.com_docview_1803588149 https://www.proquest.com/docview/1803588149
https___github.com_verdverm_pypge https://github.com/verdverm/pypge
worzel:2001:patent Method and system for genetic programming
WilliamPWorzel.html
http___patft.uspto.gov_netacgi_nph-Parser_Sect2_PTO1_Sect2_HITOFF_p_1_u__netahtml_PTO_search-bool.html_r_1_f_G_l_50_d_PALL_RefSrch_yes_Query_PN_6327582 http://patft.uspto.gov/netacgi/nph-Parser?Sect2=PTO1&Sect2=HITOFF&p=1&u=/netahtml/PTO/search-bool.html&r=1&f=G&l=50&d=PALL&RefSrch=yes&Query=PN/6327582
worzel:2002:GPTP Genetic Programming Theory and Practice
WilliamPWorzel.html
RickLRiolo.html
http___www.springer.com_computer_ai_book_978-1-4020-7581-0 http://www.springer.com/computer/ai/book/978-1-4020-7581-0
http___dx.doi.org_10.1007_978-1-4419-8983-3_1 http://dx.doi.org/10.1007/978-1-4419-8983-3_1
worzel:2005:GPTP Content Diversity in Genetic Programming and Its Correlation With Fitness
ArpitAAlmal.html
WilliamPWorzel.html
EricAWollesen.html
DuncanMacLean.html
Worzel:2006:GPTP Lifting the Curse of Dimensionality
WilliamPWorzel.html
ArpitAAlmal.html
DuncanMacLean.html
http___dx.doi.org_10.1007_978-0-387-49650-4_3 http://dx.doi.org/10.1007/978-0-387-49650-4_3
Worzel2009405 Applications of genetic programming in cancer research
WilliamPWorzel.html
JianjunYu.html
ArpitAAlmal.html
ArulMChinnaiyan.html
http___dx.doi.org_10.1016_j.biocel.2008.09.025 http://dx.doi.org/10.1016/j.biocel.2008.09.025
http___www.sciencedirect.com_science_article_B6TCH-4TK92M3-5_2_0e86a90ead8ec06e801a65b7e26278ef http://www.sciencedirect.com/science/article/B6TCH-4TK92M3-5/2/0e86a90ead8ec06e801a65b7e26278ef
Worzel:2014:GPTP SKGP: The Way of the Combinator
WilliamPWorzel.html
DuncanMacLean.html
http___dx.doi.org_10.1007_978-3-319-16030-6_4 http://dx.doi.org/10.1007/978-3-319-16030-6_4
Worzel:2015:GPTP The Evolution of Everything (EvE) and Genetic Programming
WilliamPWorzel.html
http___www.springer.com_us_book_9783319342214 http://www.springer.com/us/book/9783319342214
http___dx.doi.org_10.1007_978-3-319-34223-8_8 http://dx.doi.org/10.1007/978-3-319-34223-8_8
Worzel:2022:GPTP ESSAY: Computers Are Useless ... They Only Give Us Answers
WilliamPWorzel.html
http___dx.doi.org_10.1007_978-981-19-8460-0_11 http://dx.doi.org/10.1007/978-981-19-8460-0_11
Wright:2021:GECCO Evolvability and Complexity Properties of the Digital Circuit Genotype-Phenotype Map
AldenHWright.html
CheyenneLLaue.html
http___dx.doi.org_10.1145_3449639.3459393 http://dx.doi.org/10.1145/3449639.3459393
https___www.youtube.com_watch_v_9kNdkkBiVNc https://www.youtube.com/watch?v=9kNdkkBiVNc
Wright:2022:GPTP Evolving complexity is hard
AldenHWright.html
CheyenneLLaue.html
http___dx.doi.org_10.1007_978-981-19-8460-0_10 http://dx.doi.org/10.1007/978-981-19-8460-0_10
wu:1998:ECJintro Introduction to the Special Issue: Variable-Length Representation and Noncoding Segments for Evolutionary Algorithms
AnnieSWu.html
WolfgangBanzhaf.html
http___www.mitpressjournals.org_doi_pdfplus_10.1162_evco.1998.6.4.iii http://www.mitpressjournals.org/doi/pdfplus/10.1162/evco.1998.6.4.iii
http___dx.doi.org_10.1162_evco.1998.6.4.iii http://dx.doi.org/10.1162/evco.1998.6.4.iii
Wu:2010:ICACC Genetic complex multiple kernel for relevance vector regression
BingWu.html
Wen-QiongZhang.html
Zhi-WeiHu.html
Jia-HongLiang.html
http___dx.doi.org_10.1109_ICACC.2010.5486939 http://dx.doi.org/10.1109/ICACC.2010.5486939
Wu:2010:ICCAE A GP-based kernel construction and optimization method for RVM
BingWu.html
Wen-QiongZhang.html
LingChen.html
Jia-HongLiang.html
http___dx.doi.org_10.1109_ICCAE.2010.5451646 http://dx.doi.org/10.1109/ICCAE.2010.5451646
conf/sede/WuCS07 Direct transformation of coordinates for GPS positioning using the techniques of genetic programming and symbolic regression on partitioned data
Chih-HungWu.html
Hung-JuChou.html
Wei-HanSu.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.109.5652.pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.109.5652.pdf
Wu:2007:ieeeGSL A Genetic Approach for Coordinate Transformation Test of GPS Positioning
Chih-HungWu.html
Hung-JuChou.html
Wei-HanSu.html
http___ieeexplore.ieee.org_iel5_8859_4156144_04156177.pdf_tp__isnumber__arnumber_4156177 http://ieeexplore.ieee.org/iel5/8859/4156144/04156177.pdf?tp=&isnumber=&arnumber=4156177
http___dx.doi.org_10.1109_LGRS.2007.894164 http://dx.doi.org/10.1109/LGRS.2007.894164
Wu20081347 Direct transformation of coordinates for GPS positioning using the techniques of genetic programming and symbolic regression
Chih-HungWu.html
Hung-JuChou.html
Wei-HanSu.html
http___www.sciencedirect.com_science_article_B6V2M-4S563RS-1_2_05f37a51533cca46f932efd8e37b95b0 http://www.sciencedirect.com/science/article/B6V2M-4S563RS-1/2/05f37a51533cca46f932efd8e37b95b0
http___dx.doi.org_10.1016_j.engappai.2008.02.001 http://dx.doi.org/10.1016/j.engappai.2008.02.001
Wu:2010:ICMLC Genetic programming for the approximation of GPS GDOP
Chih-HungWu.html
Ya-WeiHo.html
http___dx.doi.org_10.1109_ICMLC.2010.5580757 http://dx.doi.org/10.1109/ICMLC.2010.5580757
Wu:2011:ieeeTIM A Study on GPS GDOP Approximation Using Support-Vector Machines
Chih-HungWu.html
Wei-HanSu.html
Ya-WeiHo.html
http___dx.doi.org_10.1109_TIM.2010.2049228 http://dx.doi.org/10.1109/TIM.2010.2049228
Wu2012332 Discovering approximate expressions of GPS geometric dilution of precision using genetic programming
Chih-HungWu.html
Ya-WeiHo.html
Li-WunChen.html
You-DongHuang.html
http___dx.doi.org_10.1016_j.advengsoft.2011.10.013 http://dx.doi.org/10.1016/j.advengsoft.2011.10.013
http___www.sciencedirect.com_science_article_pii_S0965997811002894 http://www.sciencedirect.com/science/article/pii/S0965997811002894
Wu:2013:CG Lattice-based clustering and genetic programming for coordinate transformation in GPS applications
Chih-HungWu.html
Wei-HanSu.html
http___dx.doi.org_10.1016_j.cageo.2012.09.022 http://dx.doi.org/10.1016/j.cageo.2012.09.022
http___www.sciencedirect.com_science_article_pii_S0098300412003329 http://www.sciencedirect.com/science/article/pii/S0098300412003329
Wu:2013:SNPD Parallelism of Evolutionary Design of Image Filters for Evolvable Hardware Using GPU
Chih-HungWu.html
Chin-YuanChiang.html
Yi-HanChen.html
http___dx.doi.org_10.1109_SNPD.2013.79 http://dx.doi.org/10.1109/SNPD.2013.79
Wu:2005:amcFbGEp The automatic modeling of complex functions based on gene expression programming
Chuan-ShengWu.html
LiHuang.html
Li-ShanKang.html
http___dx.doi.org_10.1109_ICMLC.2005.1527432 http://dx.doi.org/10.1109/ICMLC.2005.1527432
Wu:2015:GECCO Deep Parameter Optimisation
FanWu.html
WestleyWeimer.html
MarkHarman.html
YueJia.html
JensKrinke.html
http___www.human-competitive.org_sites_default_files_wu-weimer-harman-jia-krinke-text.txt http://www.human-competitive.org/sites/default/files/wu-weimer-harman-jia-krinke-text.txt
http___www.human-competitive.org_sites_default_files_wu-weimer-harman-jia-krinke-paper.pdf http://www.human-competitive.org/sites/default/files/wu-weimer-harman-jia-krinke-paper.pdf
http___dx.doi.org_10.1145_2739480.2754648 http://dx.doi.org/10.1145/2739480.2754648
Wu:2016:SSBSE HOMI: Searching Higher Order Mutants For Software Improvement
FanWu.html
MarkHarman.html
YueJia.html
JensKrinke.html
http___dx.doi.org_10.1007_978-3-319-47106-8_2 http://dx.doi.org/10.1007/978-3-319-47106-8_2
Thesis_Fan_v2.1 Mutation-Based Genetic Improvement of Software
FanWu.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_Thesis_Fan_v2.1.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/Thesis_Fan_v2.1.pdf
https___ethos.bl.uk_OrderDetails.do_uin_uk.bl.ethos.746642 https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.746642
https___discovery.ucl.ac.uk_id_eprint_1561361 https://discovery.ucl.ac.uk/id/eprint/1561361
Wu:2023:CSIS-IAC An Efficient GEP-based Hyper-heuristic Approach for Automatic Airport Gate Assignment Problem
JiankaiWu.html
ShichangXie.html
JunlanDong.html
JinghuiZhong.html
http___dx.doi.org_10.1109_CSIS-IAC60628.2023.10364183 http://dx.doi.org/10.1109/CSIS-IAC60628.2023.10364183
oai:NSYSU:etd-0911102-162515 Web Search Using Genetic Programming
Jain-ShingWu.html
https___etd.lis.nsysu.edu.tw__ETD-db_ETD-search-c_view_etd_URN_etd-0911102-162515 https://etd.lis.nsysu.edu.tw//ETD-db/ETD-search-c/view_etd?URN=etd-0911102-162515
https___etd.lis.nsysu.edu.tw__ETD-db_ETD-search-c_getfile_URN_etd-0911102-162515_filename_etd-0911102-162515.pdf https://etd.lis.nsysu.edu.tw//ETD-db/ETD-search-c/getfile?URN=etd-0911102-162515&filename=etd-0911102-162515.pdf
Wu:2014:EL Composite kernels conditional random fields for remote-sensing image classification
JunfengWu.html
ZhiguoJiang.html
JianweiLuo.html
HaopengZhang.html
http___dx.doi.org_10.1049_el.2014.1964 http://dx.doi.org/10.1049/el.2014.1964
HokieGo-PM HokieGo at 2017 PM Task: Genetic Programming based re-ranking method In Biomedical Information Retrieval
JunyanWu.html
XiaofuMa.html
WeiguoFan.html
https___trec.nist.gov_pubs_trec26_papers_HokieGo-PM.pdf https://trec.nist.gov/pubs/trec26/papers/HokieGo-PM.pdf
Wu:2022:PRAI Facial Expression Recognition Based on Genetic Programming Learning CCA Fusion
MinWu.html
MingLi.html
ChaoHe.html
HaoChen.html
YanWang.html
ZhengxiuLi.html
http___dx.doi.org_10.1109_PRAI55851.2022.9904275 http://dx.doi.org/10.1109/PRAI55851.2022.9904275
Wu:2022:ICDE Rule Learning over Knowledge Graphs with Genetic Logic Programming
LianlongWu.html
EmanuelSallinger.html
EvgenySherkhonov.html
SaharVahdati.html
GeorgGottlob.html
http___dx.doi.org_10.1109_ICDE53745.2022.00318 http://dx.doi.org/10.1109/ICDE53745.2022.00318
conf/pakdd/WuC07 Grammar Guided Genetic Programming for Flexible Neural Trees Optimization
PengWu.html
YuehuiChen.html
http___dx.doi.org_10.1007_978-3-540-71701-0_108 http://dx.doi.org/10.1007/978-3-540-71701-0_108
Wu:2009:ICNC Small-Time Scale Network Traffic Prediction Using Complex Network Models
PengWu.html
YuehuiChen.html
QingfangMeng.html
ZhenLiu.html
http___dx.doi.org_10.1109_ICNC.2009.122 http://dx.doi.org/10.1109/ICNC.2009.122
wu2012 Building Ensemble Classifier Based on Complex Network for Predicting Protein Structural Class
PengWu.html
TaoXu.html
LikaiDong.html
ZhenLiu.html
YuehuiChen.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.1000.894 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.1000.894
http___www.scientific.net_AEF.6-7.824.pdf http://www.scientific.net/AEF.6-7.824.pdf
http___dx.doi.org_10.4028_www.scientific.net_AEF.6-7.824 http://dx.doi.org/10.4028/www.scientific.net/AEF.6-7.824
Wu:ieeeacmtCBBI Classification of a DNA Microarray for Diagnosing Cancer Using a Complex Network Based Method
PengWu.html
DongWang.html
http___dx.doi.org_10.1109_TCBB.2018.2868341 http://dx.doi.org/10.1109/TCBB.2018.2868341
Wu:2022:ACIE Learning Markov Decision Processes Based on Genetic Programming
RongWu.html
JinXu.html
http___dx.doi.org_10.1109_ACIE55485.2022.00023 http://dx.doi.org/10.1109/ACIE55485.2022.00023
Wu20101 The use of computational intelligence in intrusion detection systems: A review
ShellyXiaonanWu.html
WolfgangBanzhaf.html
http___dx.doi.org_10.1016_j.asoc.2009.06.019 http://dx.doi.org/10.1016/j.asoc.2009.06.019
http___www.sciencedirect.com_science_article_B6W86-4WV15J9-1_2_07117ede6d9ef58ed75bf405560da6d9 http://www.sciencedirect.com/science/article/B6W86-4WV15J9-1/2/07117ede6d9ef58ed75bf405560da6d9
bc1_ecindm The Use of Evolutionary Computation in Knowledge Discovery: The Example of Intrusion Detection Systems
ShellyXiaonanWu.html
WolfgangBanzhaf.html
http___ebooks.worldscinet.com_ISBN_9781848163874_9781848163874_0002.html http://ebooks.worldscinet.com/ISBN/9781848163874/9781848163874_0002.html
http___dx.doi.org_10.1142_9781848163874_0002 http://dx.doi.org/10.1142/9781848163874_0002
Wu:2011:GECCO Rethinking multilevel selection in genetic programming
ShellyXiaonanWu.html
WolfgangBanzhaf.html
http___dx.doi.org_10.1145_2001576.2001765 http://dx.doi.org/10.1145/2001576.2001765
Ting-Ying_Wu:masters Application of Evolutionary Fuzzy Inference System on the Flood Water Level Forecasting
Ting-YingWu.html
https___hdl.handle.net_11296_z6dhfe https://hdl.handle.net/11296/z6dhfe
Wu:2009:ICIECS An Improved GAPSO Hybrid Programming Algorithm
XiaojunWu.html
YingWang.html
TiantianZhang.html
http___dx.doi.org_10.1109_ICIECS.2009.5365983 http://dx.doi.org/10.1109/ICIECS.2009.5365983
Wu:2010:CASoN Particle Swarm Optimization Programming
XiaojunWu.html
MingZhao.html
YaohongQu.html
http___dx.doi.org_10.1109_CASoN.2010.96 http://dx.doi.org/10.1109/CASoN.2010.96
conf/icira/WuM12 Application of Fixed-Structure Genetic Programming for Classification
XiaojunWu.html
YueMa.html
http___dx.doi.org_10.1007_978-3-642-33509-9_3 http://dx.doi.org/10.1007/978-3-642-33509-9_3
Wu:2013:ASC Nonlinear speech coding model based on genetic programming
XiaojunWu.html
ZhanzhongYang.html
http___dx.doi.org_10.1016_j.asoc.2013.02.008 http://dx.doi.org/10.1016/j.asoc.2013.02.008
http___www.sciencedirect.com_science_article_pii_S1568494613000628 http://www.sciencedirect.com/science/article/pii/S1568494613000628
DBLP:journals/corr/abs-2103-07173 Neural Architecture Search based on Cartesian Genetic Programming Coding Method
XuanWu.html
XiuyiZhang.html
LinhanJia.html
LiangChen.html
YanchunLiang.html
YouZhou.html
ChunguoWu.html
https___arxiv.org_abs_2103.07173 https://arxiv.org/abs/2103.07173
https___dblp.org_rec_journals_corr_abs-2103-07173.bib https://dblp.org/rec/journals/corr/abs-2103-07173.bib
Wu_Xuan:ieeeTEC Neural Architecture Search for Text Classification With Limited Computing Resources Using Efficient Cartesian Genetic Programming
XuanWu.html
DiWang.html
HuanhuanChen.html
LeleYan.html
YubinXiao.html
ChunyanMiao.html
HongweiGe.html
DongXu.html
YanchunLiang.html
KangpingWang.html
ChunguoWu.html
YouZhou.html
http___dx.doi.org_10.1109_TEVC.2023.3346969 http://dx.doi.org/10.1109/TEVC.2023.3346969
wu:2005:CIS Bioprocess Modeling Using Genetic Programming Based on a Double Penalty Strategy
YanlingWu.html
JiangangLu.html
YouxianSun.html
PeifeiYu.html
http___link.springer.com_chapter_10.1007_11596448_137 http://link.springer.com/chapter/10.1007/11596448_137
http___dx.doi.org_10.1007_11596448_137 http://dx.doi.org/10.1007/11596448_137
Wu:2006:iccis Genetic Programming Based on an Adaptive Regularization Method
YanlingWu.html
JiangangLu.html
YouxianSun.html
http___dx.doi.org_10.1109_ICCIAS.2006.294148 http://dx.doi.org/10.1109/ICCIAS.2006.294148
Wu:2006:WCICA Bioprocess Modeling Using Fuzzy Regression Clustering and Genetic Programming
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JiangangLu.html
JianXu.html
YouxianSun.html
http___dx.doi.org_10.1109_WCICA.2006.1713808 http://dx.doi.org/10.1109/WCICA.2006.1713808
Wu:2013:CCC Immune Genetic Programming and it's application in bioprocess modeling
YanlingWu.html
YuanyuanZhang2.html
ZhongliangZhu.html
http___ieeexplore.ieee.org_xpl_articleDetails.jsp_tp__arnumber_6640856 http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6640856
Wu:2014:WCICA A preference-based non-dominated sorting genetic programming for bioprocess modeling
YanlingWu.html
ZhongliangZhu.html
YuanyuanZhang2.html
http___dx.doi.org_10.1109_WCICA.2014.7053762 http://dx.doi.org/10.1109/WCICA.2014.7053762
Wu:2015:DSP A robust baseline elimination method based on community information
YanlingWu.html
QingweiGao.html
YuanyuanZhang2.html
http___dx.doi.org_10.1016_j.dsp.2015.02.015 http://dx.doi.org/10.1016/j.dsp.2015.02.015
http___www.sciencedirect.com_science_article_pii_S105120041500072X http://www.sciencedirect.com/science/article/pii/S105120041500072X
Wu:2020:ACC Learning Robust Feature Descriptor for Image Registration With Genetic Programming
YueWu.html
QingxiuSu.html
WenpingMa.html
ShaodiLiu.html
QiguangMiao.html
http___dx.doi.org_10.1109_ACCESS.2020.2968339 http://dx.doi.org/10.1109/ACCESS.2020.2968339
Wu:2009:WCSE A New GEP Algorithm Based on Multi-phenotype Chromosomes
ZenghongWu.html
MinYao.html
http___dx.doi.org_10.1109_WCSE.2009.654 http://dx.doi.org/10.1109/WCSE.2009.654
wu:2021:RS Superpixel-Based Regional-Scale Grassland Community Classification Using Genetic Programming with Sentinel-1 SAR and Sentinel-2 Multispectral Images
ZhenjiangWu.html
JiahuaZhang.html
FanDeng.html
ShaZhang.html
DaZhang.html
LanXun.html
MengfeiJi.html
QianFeng.html
https___www.mdpi.com_2072-4292_13_20_4067 https://www.mdpi.com/2072-4292/13/20/4067
http___dx.doi.org_10.3390_rs13204067 http://dx.doi.org/10.3390/rs13204067
WU:2019:procir Risk cost estimation of job shop scheduling with random machine breakdowns
ZigaoWu.html
ShudongSun.html
http___dx.doi.org_10.1016_j.procir.2019.04.087 http://dx.doi.org/10.1016/j.procir.2019.04.087
http___www.sciencedirect.com_science_article_pii_S2212827119307012 http://www.sciencedirect.com/science/article/pii/S2212827119307012
conf/pst/WuchnerOLP16 Generating behavior-based malware detection models with genetic programming
TobiasWuchner.html
MartinOchoa.html
EnricoLovat.html
AlexanderPretschner.html
http___dx.doi.org_10.1109_PST.2016.7907008 http://dx.doi.org/10.1109/PST.2016.7907008
wyns:2003:EA Self-Improvement to Control Code Growth in Genetic Programming
BartWyns.html
StefanSette.html
LucBoullart.html
http___dx.doi.org_10.1007_b96080 http://dx.doi.org/10.1007/b96080
eurogp06:WynsDeBruyneBoullart Characterizing Diversity in Genetic Programming
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PeterDeBruyne.html
LucBoullart.html
http___dx.doi.org_10.1007_11729976_22 http://dx.doi.org/10.1007/11729976_22
1277312 Adaptive strategies for a semantically driven tree optimizer to control code growth
BartWyns.html
LucBoullart.html
http___gpbib.cs.ucl.ac.uk_gecco2007_docs_p1762.pdf http://gpbib.cs.ucl.ac.uk/gecco2007/docs/p1762.pdf
http___dx.doi.org_10.1145_1276958.1277312 http://dx.doi.org/10.1145/1276958.1277312
1277313 Limiting code growth to improve robustness in tree-based genetic programming
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PieterJanDeSmedt.html
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http___dx.doi.org_10.1145_1276958.1277313 http://dx.doi.org/10.1145/1276958.1277313
Wyns:thesis Genetisch programmeren en codegroei
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https___lib.ugent.be_catalog_pug01_470863 https://lib.ugent.be/catalog/pug01:470863
https___biblio.ugent.be_publication_472601_file_1879825.pdf https://biblio.ugent.be/publication/472601/file/1879825.pdf
Wyns:2009:JH Efficient tree traversal to reduce code growth in tree-based genetic programming
BartWyns.html
LucBoullart.html
http___dx.doi.org_10.1007_s10732-007-9060-0 http://dx.doi.org/10.1007/s10732-007-9060-0
conf/icaart/WynsBB10 Evolving Robust Robot Controllers for Corridor Following using Genetic Programming
BartWyns.html
BertBonte.html
LucBoullart.html
https___biblio.ugent.be_publication_978399_file_985375.pdf https://biblio.ugent.be/publication/978399/file/985375.pdf
http___dx.doi.org_10.5220_0002588204430446 http://dx.doi.org/10.5220/0002588204430446
Xhemali:2010:ICEC Genetic Evolution of Sorting Programs through a novel Genotype-Phenotype Mapping
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ChrisJHinde.html
RogerGStone.html
http___hdl.handle.net_2134_7342 http://hdl.handle.net/2134/7342
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http___www.robinbye.com_files_publications_ICEC_2010.pdf http://www.robinbye.com/files/publications/ICEC_2010.pdf
https___www.scitepress.org_PublishedPapers_2010_30784_ https://www.scitepress.org/PublishedPapers/2010/30784/
http___dx.doi.org_10.5220_0003078401900198 http://dx.doi.org/10.5220/0003078401900198
Xhemali:thesis Automated retrieval and extraction of training course information from unstructured web pages
DanielaBirdsall.html
http___hdl.handle.net_2134_7022 http://hdl.handle.net/2134/7022
https___dspace.lboro.ac.uk_dspace-jspui_bitstream_2134_7022_2_EngD-Thesis-DanielaXhemali.pdf https://dspace.lboro.ac.uk/dspace-jspui/bitstream/2134/7022/2/EngD-Thesis-DanielaXhemali.pdf
Xi:2020:CCR Deep Learning to Distinguish Benign from Malignant Renal Lesions Based on Routine MR Imaging
IantoLinXi.html
YijunZhao.html
RobinWang.html
MarcelloChang.html
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SWilliamStavropoulos.html
https___clincancerres.aacrjournals.org_content_early_2020_02_23_1078-0432.CCR-19-0374.full.pdf https://clincancerres.aacrjournals.org/content/early/2020/02/23/1078-0432.CCR-19-0374.full.pdf
https___clincancerres.aacrjournals.org_content_early_2020_02_23_1078-0432.CCR-19-0374 https://clincancerres.aacrjournals.org/content/early/2020/02/23/1078-0432.CCR-19-0374
http___dx.doi.org_10.1158_1078-0432.CCR-19-0374 http://dx.doi.org/10.1158/1078-0432.CCR-19-0374
https___github.com_intrepidlemon_renal-mri https://github.com/intrepidlemon/renal-mri
Xia:2022:AIIPCC Multi-influenced Factors Prediction Using a Combination of GEP and PCA-GRNN Model Based on the Shapley Value Method
ChenxiXia.html
WanluDai.html
DongLi.html
FenglingLi.html
KaiLiu.html
ZhijieHe.html
http___dx.doi.org_10.1109_AIIPCC57291.2022.00062 http://dx.doi.org/10.1109/AIIPCC57291.2022.00062
Xia:2014:ICCSE A Framework of Design Weakness Detection through Machine Health Monitoring for the Evolutionary Design Optimization of Multi-domain Systems
MinXia.html
ClarenceWdeSilva.html
http___dx.doi.org_10.1109_ICCSE.2014.6926455 http://dx.doi.org/10.1109/ICCSE.2014.6926455
Xia:2016:CN Closed-loop design evolution of engineering system using condition monitoring through internet of things and cloud computing
MinXia.html
TengLi.html
YunfeiZhang.html
ClarenceWdeSilva.html
http___dx.doi.org_10.1016_j.comnet.2015.12.016 http://dx.doi.org/10.1016/j.comnet.2015.12.016
http___www.sciencedirect.com_science_article_pii_S1389128615005034 http://www.sciencedirect.com/science/article/pii/S1389128615005034
Xia:2009:WISA An Approach of Semantic Similarity Measure between Ontology Concepts Based on Multi Expression Programming
ShixiongXia.html
ZuhuiHu.html
QiangNiu.html
http___dx.doi.org_10.1109_WISA.2009.34 http://dx.doi.org/10.1109/WISA.2009.34
Xia:2019:GECCOcompa Application of Classification for Figure Copying Test in Parkinson's Disease Diagnosis by Using Cartesian Genetic Programming
TianXia.html
JeremyCosgrove.html
JaneEAlty.html
DRStuartJamieson.html
StephenLSmith.html
http___dx.doi.org_10.1145_3319619.3326822 http://dx.doi.org/10.1145/3319619.3326822
xia:2015:Atmosphere Topography and Data Mining Based Methods for Improving Satellite Precipitation in Mountainous Areas of China
TingXia.html
Zhong-JingWang.html
HangZheng.html
https___www.mdpi.com_2073-4433_6_8_983 https://www.mdpi.com/2073-4433/6/8/983
http___dx.doi.org_10.3390_atmos6080983 http://dx.doi.org/10.3390/atmos6080983
Xiang:2009:FSKD CDA: A Novel Clustering Delegate Algorithm Based on Minority Protection
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ChangjieTang.html
YuChen.html
LeiDuan.html
YueWang.html
NingYang.html
http___dx.doi.org_10.1109_FSKD.2009.384 http://dx.doi.org/10.1109/FSKD.2009.384
XIAO:2018:Energy A hybrid model based on selective ensemble for energy consumption forecasting in China
JinXiao.html
YuxiLi.html
LingXie.html
DunhuLiu.html
JingHuang.html
http___dx.doi.org_10.1016_j.energy.2018.06.161 http://dx.doi.org/10.1016/j.energy.2018.06.161
http___www.sciencedirect.com_science_article_pii_S036054421831226X http://www.sciencedirect.com/science/article/pii/S036054421831226X
Liyuan_Xiao:masters Automated web service composition using genetic programming
LiyuanXiao.html
http___lib.dr.iastate.edu_etd_12081 http://lib.dr.iastate.edu/etd/12081
Xiao:2012:COMPSACW Automated Web Service Composition Using Genetic Programming
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CarlKChang.html
Hen-IYang.html
Kai-ShinLu.html
Hsin-yiJiang.html
http___dx.doi.org_10.1109_COMPSACW.2012.12 http://dx.doi.org/10.1109/COMPSACW.2012.12
Xiao:2017:GECCO Indicator-based Multi-objective Genetic Programming for Workflow Scheduling Problem
Qin-zheXiao.html
JinghuiZhong.html
Wen-NengChen.html
Zhi-HuiZhan.html
JunZhang.html
http___doi.acm.org_10.1145_3067695.3075600 http://doi.acm.org/10.1145/3067695.3075600
http___dx.doi.org_10.1145_3067695.3075600 http://dx.doi.org/10.1145/3067695.3075600
Xiao:ieeeServiceC A Cooperative Coevolution Hyper-Heuristic Framework for Workflow Scheduling Problem
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JinghuiZhong.html
LiangFeng.html
LinboLuo.html
JianmingLv.html
http___dx.doi.org_10.1109_TSC.2019.2923912 http://dx.doi.org/10.1109/TSC.2019.2923912
Xiao:2014:CEC Two Step Evolution Strategy for Device Motif BSIM Model Parameter Extraction
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MartinATrefzer.html
JamesAlfredWalker.html
SimonBale.html
AndrewMTyrrell.html
http___dx.doi.org_10.1109_CEC.2014.6900520 http://dx.doi.org/10.1109/CEC.2014.6900520
Xie:2004:fusee An Algorithm Using Genetic Programming for the Compensation of Nonlinear Distortion Based on Wiener System Model
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XuhuiLi.html
http___facta.junis.ni.ac.rs_eae_fu2k42_6xie.html http://facta.junis.ni.ac.rs/eae/fu2k42/6xie.html
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https___dokumente.unibw.de_pub_bscw.cgi_d1223025_paper_ChangFacta_vol17_Nr.2_August2004.pdf https://dokumente.unibw.de/pub/bscw.cgi/d1223025/paper_ChangFacta_vol17,Nr.2,August2004.pdf
Xie:2014:CEC Anomaly Detection in Crowded Scenes Using Genetic Programming
ChengXie.html
LinShang.html
http___dx.doi.org_10.1109_CEC.2014.6900396 http://dx.doi.org/10.1109/CEC.2014.6900396
Xie:2005:ATCE Permeability Estimation Using a Hybrid Genetic Programming and Fuzzy/Neural Inference Approach
DeyiXie.html
DaveWilkinson.html
TinaYu.html
https___www.onepetro.org_conference-paper_SPE-95167-MS_sort__start_0_q_Permeability_Estimation_Using_a_Hybrid_Genetic_Programming_and_Fuzzy_2FNeural_Inference_Approach_from_year__peer_reviewed__published_between__fromSearchResults_true_to_year__rows_100 https://www.onepetro.org/conference-paper/SPE-95167-MS?sort=&start=0&q=Permeability+Estimation+Using+a+Hybrid+Genetic+Programming+and+Fuzzy%2FNeural+Inference+Approach&from_year=&peer_reviewed=&published_between=&fromSearchResults=true&to_year=&rows=100
http___www.cs.mun.ca__tinayu_Publications_files_SPE2005_Final.pdf http://www.cs.mun.ca/~tinayu/Publications_files/SPE2005_Final.pdf
http___www.proceedings.com_00158.html http://www.proceedings.com/00158.html
http___dx.doi.org_10.2118_95167-MS http://dx.doi.org/10.2118/95167-MS
conf/acsc/XieSC12 Learning Time Series Patterns by Genetic Programming
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AndySong.html
VictorCiesielski.html
http___crpit.com_Vol122.html http://crpit.com/Vol122.html
http___crpit.com_confpapers_CRPITV122Xie.pdf http://crpit.com/confpapers/CRPITV122Xie.pdf
Xie:2012:CEC Event Detection in Time Series by Genetic Programming
FengXie.html
AndySong.html
VictorCiesielski.html
http___dx.doi.org_10.1109_CEC.2012.6256589 http://dx.doi.org/10.1109/CEC.2012.6256589
Xie:evoapps13 Human Action Recognition from Multi-Sensor Stream Data by Genetic Programming
FengXie.html
AndySong.html
VictorCiesielski.html
http___dx.doi.org_10.1007_978-3-642-37192-9_42 http://dx.doi.org/10.1007/978-3-642-37192-9_42
Xie:2013:CEC Activity Recognition by Smartphone Based Multi-Channel Sensors with Genetic Programming
FengXie.html
AndySong.html
VictorCiesielski.html
http___dx.doi.org_10.1109_CEC.2013.6557697 http://dx.doi.org/10.1109/CEC.2013.6557697
Xie:2013:CECa Sensor-Based Activity Recognition with Improved GP-based Classifier
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AKaiQin.html
AndySong.html
VictorCiesielski.html
http___dx.doi.org_10.1109_CEC.2013.6557940 http://dx.doi.org/10.1109/CEC.2013.6557940
Xie:2013:AI Learning Risky Driver Behaviours from Multi-Channel Data Streams Using Genetic Programming
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AndySong.html
FloraSalim.html
AthmanBouguettaya.html
TimosSellis.html
DougBradbrook.html
http___dx.doi.org_10.1007_978-3-319-03680-9_22 http://dx.doi.org/10.1007/978-3-319-03680-9_22
http___dx.doi.org_10.1007_978-3-319-03680-9_22 http://dx.doi.org/10.1007/978-3-319-03680-9_22
Xie:2013:IVCNZ Evolving PCB visual inspection programs using genetic programming
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AnhHoangDau.html
AlexandraLUitdenbogerd.html
AndySong.html
http___dx.doi.org_10.1109_IVCNZ.2013.6727049 http://dx.doi.org/10.1109/IVCNZ.2013.6727049
Xie:2014:CECa Genetic Programming Based Activity Recognition on a Smartphone Sensory Data Benchmark
FengXie.html
AndySong.html
VictorCiesielski.html
http___dx.doi.org_10.1109_CEC.2014.6900635 http://dx.doi.org/10.1109/CEC.2014.6900635
conf/seal/XieSC14 Learning Patterns of States in Time Series by Genetic Programming
FengXie.html
AndySong.html
VictorCiesielski.html
http___dx.doi.org_10.1007_978-3-319-13563-2 http://dx.doi.org/10.1007/978-3-319-13563-2
FengXie:thesis Event and state detection in time series by genetic programming
FengXie.html
https___researchbank.rmit.edu.au_view_rmit_161490 https://researchbank.rmit.edu.au/view/rmit:161490
https___researchbank.rmit.edu.au_eserv_rmit_161490_Xie.pdf https://researchbank.rmit.edu.au/eserv/rmit:161490/Xie.pdf
Xie:2005:AJCAI Diversity Control in GP with ADF for Regression Tasks
HuayangJasonXie.html
http___dx.doi.org_10.1007_11589990_181 http://dx.doi.org/10.1007/11589990_181
vuw-CS-TR-06-3 A Study of Good Predecessor Programs for Reducing Fitness Evaluation Cost in Genetic Programming
HuayangJasonXie.html
MengjieZhang.html
PeterAndreae.html
http___www.mcs.vuw.ac.nz_comp_Publications_CS-TR-06-3.abs.html http://www.mcs.vuw.ac.nz/comp/Publications/CS-TR-06-3.abs.html
http___www.mcs.vuw.ac.nz_comp_Publications_archive_CS-TR-06_CS-TR-06-3.pdf http://www.mcs.vuw.ac.nz/comp/Publications/archive/CS-TR-06/CS-TR-06-3.pdf
vuw-CS-TR-06-4 Genetic Programming for Automatic Stress Detection in Spoken English
HuayangJasonXie.html
MengjieZhang.html
PeterAndreae.html
http___www.mcs.vuw.ac.nz_comp_Publications_CS-TR-06-4.abs.html http://www.mcs.vuw.ac.nz/comp/Publications/CS-TR-06-4.abs.html
http___www.mcs.vuw.ac.nz_comp_Publications_archive_CS-TR-06_CS-TR-06-4.pdf http://www.mcs.vuw.ac.nz/comp/Publications/archive/CS-TR-06/CS-TR-06-4.pdf
eurogp06:XieZhangAndreae Population Clustering in Genetic Programming
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MengjieZhang.html
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http___dx.doi.org_10.1007_11729976_17 http://dx.doi.org/10.1007/11729976_17
xie:evows06 Genetic Programming for Automatic Stress Detection in Spoken English
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MengjieZhang.html
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http___dx.doi.org_10.1007_11732242_41 http://dx.doi.org/10.1007/11732242_41
Xie:2006:ISDA Automatic Selection Pressure Control in Genetic Programming
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http___dx.doi.org_10.1109_ISDA.2006.116 http://dx.doi.org/10.1109/ISDA.2006.116
HuayangXie:2006:CEC A Study of Good Predecessor Programs for Reducing Fitness Evaluation Cost in Genetic Programming
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http___dx.doi.org_10.1109_CEC.2006.1688641 http://dx.doi.org/10.1109/CEC.2006.1688641
1277226 Another investigation on tournament selection: modelling and visualisation
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http___gpbib.cs.ucl.ac.uk_gecco2007_docs_p1468.pdf http://gpbib.cs.ucl.ac.uk/gecco2007/docs/p1468.pdf
http___dx.doi.org_10.1145_1276958.1277226 http://dx.doi.org/10.1145/1276958.1277226
1277297 An analysis of constructive crossover and selection pressure in genetic programming
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http___gpbib.cs.ucl.ac.uk_gecco2007_docs_p1739.pdf http://gpbib.cs.ucl.ac.uk/gecco2007/docs/p1739.pdf
http___dx.doi.org_10.1145_1276958.1277297 http://dx.doi.org/10.1145/1276958.1277297
Xie:2007:cec Genetic Programming for New Zealand CPI Inflation Prediction
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MengjieZhang.html
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http___dx.doi.org_10.1109_CEC.2007.4424790 http://dx.doi.org/10.1109/CEC.2007.4424790
Xie:2007:cec2 An Analysis of Depth of Crossover Points in Tree-Based Genetic Programming
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MengjieZhang.html
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http___dx.doi.org_10.1109_CEC.2007.4425069 http://dx.doi.org/10.1109/CEC.2007.4425069
CS-TR-07-2 Not-Sampled Issue and Round-Replacement Tournament Selection
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Xie:2008:cec An Analysis of the Distribution of Swapped Subtree Sizes in Tree-based Genetic Programming
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MengjieZhang.html
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http___dx.doi.org_10.1109_CEC.2008.4631181 http://dx.doi.org/10.1109/CEC.2008.4631181
Xie2:2008:cec Is the Not-Sampled Issue in Tournament Selection Critical?
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PeterAndreae.html
MarkJohnston.html
http___dx.doi.org_10.1109_CEC.2008.4631300 http://dx.doi.org/10.1109/CEC.2008.4631300
Xie:2008:gecco An analysis of multi-sampled issue and no-replacement tournament selection
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PeterAndreae.html
MarkJohnson.html
http___gpbib.cs.ucl.ac.uk_gecco2008_docs_p1323.pdf http://gpbib.cs.ucl.ac.uk/gecco2008/docs/p1323.pdf
http___dx.doi.org_10.1145_1389095.1389347 http://dx.doi.org/10.1145/1389095.1389347
Xie:thesis An Analysis of Selection in Genetic Programming
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http___homepages.ecs.vuw.ac.nz__mengjie_students_jasonPhd_thesis.pdf http://homepages.ecs.vuw.ac.nz/~mengjie/students/jasonPhd_thesis.pdf
http___hdl.handle.net_10063_837 http://hdl.handle.net/10063/837
DBLP:conf/ausai/XieZ09 Balancing Parent and Offspring Selection in Genetic Programming
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MengjieZhang.html
http___dx.doi.org_10.1007_978-3-642-10439-8_46 http://dx.doi.org/10.1007/978-3-642-10439-8_46
DBLP:conf/acal/XieZ09 An Analysis and Evaluation of the Saving Capability and Feasibility of Backward-Chaining Evolutionary Algorithms
HuayangJasonXie.html
MengjieZhang.html
http___dx.doi.org_10.1007_978-3-642-10427-5_7 http://dx.doi.org/10.1007/978-3-642-10427-5_7
Xie:tr09-10 Tuning Selection Pressure in Tournament Selection
HuayangJasonXie.html
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https___ecs.wgtn.ac.nz_Main_TechnicalReportSeries https://ecs.wgtn.ac.nz/Main/TechnicalReportSeries
http___ecs.victoria.ac.nz_twiki_pub_Main_TechnicalReportSeries_ECSTR09-10.pdf http://ecs.victoria.ac.nz/twiki/pub/Main/TechnicalReportSeries/ECSTR09-10.pdf
Xie:2011:SC Depth-Control Strategies for Crossover in Tree-based Genetic Programming
HuayangJasonXie.html
MengjieZhang.html
http___dx.doi.org_10.1007_s00500-011-0700-9 http://dx.doi.org/10.1007/s00500-011-0700-9
journals/soco/XieZ12 Impacts of sampling strategies in tournament selection for genetic programming
HuayangJasonXie.html
MengjieZhang.html
http___dx.doi.org_10.1007_s00500-011-0760-x http://dx.doi.org/10.1007/s00500-011-0760-x
Xie:2012:ieeeTEC Parent Selection Pressure Auto-tuning for Tournament Selection in Genetic Programming
HuayangJasonXie.html
MengjieZhang.html
http___dx.doi.org_10.1109_TEVC.2011.2182652 http://dx.doi.org/10.1109/TEVC.2011.2182652
Xie:2014:CECb A Genetic Programming-Based Hyper-heuristic Approach for Storage Location Assignment Problem
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YiMei.html
AndreasErnst.html
XiaodongLi.html
AndySong.html
http___goanna.cs.rmit.edu.au__e04499_Papers_CEC14-JingMeiErnstLiSong.pdf http://goanna.cs.rmit.edu.au/~e04499/Papers/CEC14-JingMeiErnstLiSong.pdf
http___dx.doi.org_10.1109_CEC.2014.6900604 http://dx.doi.org/10.1109/CEC.2014.6900604
conf/seal/XieMELS14 Scaling Up Solutions to Storage Location Assignment Problems by Genetic Programming
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AndreasErnst.html
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http___dx.doi.org_10.1007_978-3-319-13563-2 http://dx.doi.org/10.1007/978-3-319-13563-2
Xie:2015:CEC A restricted neighbourhood Tabu Search for Storage Location Assignment Problem
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AndreasErnst.html
XiaodongLi.html
AndySong.html
http___dx.doi.org_10.1109_CEC.2015.7257237 http://dx.doi.org/10.1109/CEC.2015.7257237
Xie:2015:GECCOcomp Evolving Self-Adaptive Tabu Search Algorithm for Storage Location Assignment Problems
JingXie.html
YiMei.html
AndySong.html
http___doi.acm.org_10.1145_2739482.2764896 http://doi.acm.org/10.1145/2739482.2764896
http___dx.doi.org_10.1145_2739482.2764896 http://dx.doi.org/10.1145/2739482.2764896
Jing_Xie:thesis On the investigation of the large-scale grouping constrained storage location assignment problem
JingXie.html
https___researchbank.rmit.edu.au_view_rmit_162142 https://researchbank.rmit.edu.au/view/rmit:162142
https___researchbank.rmit.edu.au_eserv_rmit_162142_Xie.pdf https://researchbank.rmit.edu.au/eserv/rmit:162142/Xie.pdf
Xie:2022:ICSICT Compressors Evolution based High Speed and Energy Efficient Approximate Signed Multiplier
NaXie.html
RenYuanZhang.html
HanYan.html
ChonghangXie.html
HaoZhang.html
HaoCai.html
BoLiu2.html
http___dx.doi.org_10.1109_ICSICT55466.2022.9963435 http://dx.doi.org/10.1109/ICSICT55466.2022.9963435
Xie:2013fk Theoretical Analysis of GP-Evolved Risk Evaluation Formulas for Spectrum Based Fault Localisation
XiaoYuanXie.html
Fei-Ching_Diana_Kuo.html
TsongYuehChen.html
ShinYoo.html
MarkHarman.html
http___www.cs.ucl.ac.uk_fileadmin_UCL-CS_research_rn-13-06__2_.pdf http://www.cs.ucl.ac.uk/fileadmin/UCL-CS/research/rn-13-06__2_.pdf
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.378.9601 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.378.9601
Xie:2013:SSBSE Provably Optimal and Human-Competitive Results in SBSE for Spectrum Based Fault Localisation
XiaoYuanXie.html
Fei-Ching_Diana_Kuo.html
TsongYuehChen.html
ShinYoo.html
MarkHarman.html
http___www.cs.ucl.ac.uk_staff_s.yoo_papers_Xie2013kx.pdf http://www.cs.ucl.ac.uk/staff/s.yoo/papers/Xie2013kx.pdf
http___dx.doi.org_10.1007_978-3-642-39742-4_17 http://dx.doi.org/10.1007/978-3-642-39742-4_17
XIE:2022:engappai Life prediction of underground structure by sulfate corrosion using Harris hawks optimizing genetic programming
YuanXie.html
WeiGao.html
YiweiWang.html
XinChen.html
ShuangshuangGe.html
SenWang.html
http___dx.doi.org_10.1016_j.engappai.2022.105190 http://dx.doi.org/10.1016/j.engappai.2022.105190
https___www.sciencedirect.com_science_article_pii_S0952197622002883 https://www.sciencedirect.com/science/article/pii/S0952197622002883
ZhuliXie:2004:COLING Using Gene Expression Programming to Construct Sentence Ranking Functions for Text Summarization
ZhuliXie.html
XinLi.html
BarbaraDiEugenio.html
WeiminXiao.html
ThomasMTirpak.html
PeterCNelson.html
http___www.cs.uic.edu__xli1_papers_GEPSentenceRankingFunc_COLING04_.pdf http://www.cs.uic.edu/~xli1/papers/GEPSentenceRankingFunc(COLING04).pdf
Xin:2019:GI Better Code Search and Reuse for Better Program Repair
QiXin.html
StevenReiss.html
http___geneticimprovementofsoftware.com_paper_pdfs_xin2019better.pdf http://geneticimprovementofsoftware.com/paper_pdfs/xin2019better.pdf
https___dl.acm.org_citation.cfm_id_3339020.3339023 https://dl.acm.org/citation.cfm?id=3339020.3339023
http___dx.doi.org_10.1109_GI.2019.00012 http://dx.doi.org/10.1109/GI.2019.00012
Xing:2015:CHB Participation-based student final performance prediction model through interpretable Genetic Programming: Integrating learning analytics, educational data mining and theory
WanliXing.html
RuiGuo.html
EvaPetakovic.html
SeanGoggins.html
http___dx.doi.org_10.1016_j.chb.2014.09.034 http://dx.doi.org/10.1016/j.chb.2014.09.034
http___www.sciencedirect.com_science_article_pii_S0747563214004865 http://www.sciencedirect.com/science/article/pii/S0747563214004865
Xing:2019:IBF Automatic Software Merging using Automated Program Repair
XiaoqianXing.html
KatsuhisaMaruyama.html
http___dx.doi.org_10.1109_IBF.2019.8665493 http://dx.doi.org/10.1109/IBF.2019.8665493
Xing:2011:PGRfSMAbGNPwRA Pruning Generalized Rules for Stock Markets Accumulated by Genetic Network Programming with Rule Accumulation
YafeiXing.html
ShingoMabu.html
KotaroHirasawa.html
http___dx.doi.org_10.1109_CEC.2011.5949924 http://dx.doi.org/10.1109/CEC.2011.5949924
Xiong:2011:SECon An experiment on evolutionary design of combinational logic circuits using information theory
FanXiong.html
MuratMTanik.html
http___dx.doi.org_10.1109_SECON.2011.5752970 http://dx.doi.org/10.1109/SECON.2011.5752970
Xiong:2003:WUJNS Point-tree structure genetic programming method for discontinuous function's regression
ShengwuXiong.html
WeiwuWang.html
http___link.springer.com_article_10.1007_BF02899503 http://link.springer.com/article/10.1007/BF02899503
http___dx.doi.org_10.1007_BF02899503 http://dx.doi.org/10.1007/BF02899503
Xiong:2003:TAI A new genetic programming approach in symbolic regression
ShengwuXiong.html
WeiwuWang.html
FengLi.html
http___ieeexplore.ieee.org_iel5_8840_27974_01250185.pdf_tp__arnumber_1250185_isnumber_27974 http://ieeexplore.ieee.org/iel5/8840/27974/01250185.pdf?tp=&arnumber=1250185&isnumber=27974
http___dx.doi.org_10.1109_TAI.2003.1250185 http://dx.doi.org/10.1109/TAI.2003.1250185
shengwu:2003:anhsgpisr A new hybrid structure genetic programming in symbolic regression
ShengwuXiong.html
WeiwuWang.html
http___dx.doi.org_10.1109_CEC.2003.1299850 http://dx.doi.org/10.1109/CEC.2003.1299850
Xiong:2018:GI Learning to Synthesize
YingfeiXiong.html
BoWang.html
GuirongFu.html
LinfeiZang.html
https___xiongyingfei.github.io_papers_GI18.pdf https://xiongyingfei.github.io/papers/GI18.pdf
http___www.cs.ucl.ac.uk_staff_W.Langdon_icse2018_gi2018_papers_Xiong_2018_GI.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/icse2018/gi2018/papers/Xiong_2018_GI.pdf
https___wangbo15.github.io_files_slides_2018-Learning-to-Synthesize_GI.pdf https://wangbo15.github.io/files/slides/2018-Learning-to-Synthesize@GI.pdf
https___arxiv.org_pdf_1802.07608 https://arxiv.org/pdf/1802.07608
http___dx.doi.org_10.1145_3194810.3194816 http://dx.doi.org/10.1145/3194810.3194816
Xu:2016:URAI Genetic programming-based classification of ferrograph wear particles
BinXu.html
GuangruiWen.html
ZhifenZhang.html
FengChen.html
http___dx.doi.org_10.1109_URAI.2016.7733992 http://dx.doi.org/10.1109/URAI.2016.7733992
Xu:2018:LubricationScience Wear particle classification using genetic programming evolved features
BinXu.html
GuangruiWen.html
ZhifenZhang.html
FengChen.html
http___dx.doi.org_10.1002_ls.1411 http://dx.doi.org/10.1002/ls.1411
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BinziXu.html
YiMei.html
YanWang.html
ZhichengJi.html
MengjieZhang.html
https___meiyi1986.github.io_publication_xu-2020-genetic_xu-2020-genetic.pdf https://meiyi1986.github.io/publication/xu-2020-genetic/xu-2020-genetic.pdf
https___meiyi1986.github.io_publication_xu-2020-genetic_ https://meiyi1986.github.io/publication/xu-2020-genetic/
http___dx.doi.org_10.1162_evco_a_00273 http://dx.doi.org/10.1162/evco_a_00273
Xu:2021:CCC An Evolved Dispatching Rule Based Scheduling Approach for Solving DJSS Problem
BinziXu.html
LiangTao.html
XiongfengDeng.html
WeiLi.html
http___dx.doi.org_10.23919_CCC52363.2021.9549754 http://dx.doi.org/10.23919/CCC52363.2021.9549754
Xu:2009:CIBCB The analysis of microarray datasets using a genetic programming
Chun-GuiXu.html
Kun-HongLiu.html
De-ShuangHuang.html
http___dx.doi.org_10.1109_CIBCB.2009.4925725 http://dx.doi.org/10.1109/CIBCB.2009.4925725
Xu:2021:GECCOcomp Adversarial Bandit Gene Expression Programming for Symbolic Regression
CongwenXu.html
QiangLu.html
JakeLuo.html
ZhiguangWang.html
http___dx.doi.org_10.1145_3449726.3459499 http://dx.doi.org/10.1145/3449726.3459499
Xu:2004:JAE Electromechanical Impedance-Based Structural Health Monitoring with Evolutionary Programming
JianfengXu.html
YaowenYang.html
CheeKiongSoh.html
http___dx.doi.org_10.1061__ASCE_0893-1321_2004_17_4_182_ http://dx.doi.org/10.1061/(ASCE)0893-1321(2004)17:4(182)
Xu2008 A novel method for real parameter optimization based on Gene Expression Programming
KaikuoXu.html
YintianLiu.html
RongTang.html
JieZuo.html
JunZhu.html
ChangjieTang.html
http___dx.doi.org_10.1016_j.asoc.2008.09.007 http://dx.doi.org/10.1016/j.asoc.2008.09.007
http___www.sciencedirect.com_science_article_B6W86-4TMJ3TD-4_2_ddab66fae1f3b964599d5c56888dfcb5 http://www.sciencedirect.com/science/article/B6W86-4TMJ3TD-4/2/ddab66fae1f3b964599d5c56888dfcb5
Xu2011942 Pipe break prediction based on evolutionary data-driven methods with brief recorded data
QiangXu.html
QiuwenChen.html
WeifengLi.html
JinfengMa.html
http___dx.doi.org_10.1016_j.ress.2011.03.010 http://dx.doi.org/10.1016/j.ress.2011.03.010
http___www.sciencedirect.com_science_article_B6V4T-52BWVVF-4_2_2cc722b50b1a73f1b86f4ef8e44660d4 http://www.sciencedirect.com/science/article/B6V4T-52BWVVF-4/2/2cc722b50b1a73f1b86f4ef8e44660d4
QiangXu:2011:JH Application of genetic programming to modeling pipe failures in water distribution systems
QiangXu.html
QiuwenChen.html
WeifengLi.html
http___www.iwaponline.com_jh_up_pdf_HYDRO_D_09_00089.pdf http://www.iwaponline.com/jh/up/pdf/HYDRO_D_09_00089.pdf
http___dx.doi.org_10.2166_hydro.2010.189 http://dx.doi.org/10.2166/hydro.2010.189
Xu:2013:JHR Optimal pipe replacement strategy based on break rate prediction through genetic programming for water distribution network
QiangXu.html
QiuwenChen.html
JinfengMa.html
KoenBlanckaert.html
http___dx.doi.org_10.1016_j.jher.2013.03.003 http://dx.doi.org/10.1016/j.jher.2013.03.003
http___www.sciencedirect.com_science_article_pii_S1570644313000257 http://www.sciencedirect.com/science/article/pii/S1570644313000257
Xu:2012:ieeITSe A Genetic Programming Model for Real-Time Crash Prediction on Freeways
ChengchengXu.html
WeiWang2.html
PanLiu.html
http___dx.doi.org_10.1109_TITS.2012.2226240 http://dx.doi.org/10.1109/TITS.2012.2226240
conf/icaart/XuQJ13 Strategy Tree Construction and Optimization with Genetic Programming
ChiXu.html
JianxiongQiao.html
NaJia.html
http___www.scitepress.org_DigitalLibrary_Link.aspx_doi_10.5220_0004201104250428 http://www.scitepress.org/DigitalLibrary/Link.aspx?doi=10.5220/0004201104250428
http___dx.doi.org_10.5220_0004201104250428 http://dx.doi.org/10.5220/0004201104250428
journals/corr/abs-1708-09116 Slope Stability Analysis with Geometric Semantic Genetic Programming
JuncaiXu.html
ZhenzhongShen.html
QingwenRen.html
XinXie.html
ZhengyuYang.html
http___arxiv.org_abs_1708.09116 http://arxiv.org/abs/1708.09116
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JuncaiXu.html
ZhenzhongShen.html
QingwenRen.html
XinXie.html
ZhengyuYang.html
http___arxiv.org_abs_1709.06114 http://arxiv.org/abs/1709.06114
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LixiongXu.html
YuanHuang.html
XiaodongShen.html
YangLiu2.html
http___downloads.hindawi.com_journals_sp_2017_5081526.pdf http://downloads.hindawi.com/journals/sp/2017/5081526.pdf
http___dx.doi.org_10.1155_2017_5081526 http://dx.doi.org/10.1155/2017/5081526
Xu:2021:CEC Genetic Programming with Archive for Dynamic Flexible Job Shop Scheduling
MengXu.html
FangfangZhang.html
YiMei.html
MengjieZhang.html
http___dx.doi.org_10.1109_CEC45853.2021.9504752 http://dx.doi.org/10.1109/CEC45853.2021.9504752
xu:2022:GECCOcomp2 Genetic Programming with Diverse Partner Selection for Dynamic Flexible Job Shop Scheduling
MengXu.html
YiMei.html
FangfangZhang.html
MengjieZhang.html
http___dx.doi.org_10.1145_3520304.3528920 http://dx.doi.org/10.1145/3520304.3528920
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MengXu.html
YiMei.html
FangfangZhang.html
MengjieZhang.html
http___dx.doi.org_10.1109_CEC55065.2022.9870431 http://dx.doi.org/10.1109/CEC55065.2022.9870431
Xu:2022:CEC2 Genetic Programming with Multi-case Fitness for Dynamic Flexible Job Shop Scheduling
MengXu.html
FangfangZhang.html
YiMei.html
MengjieZhang.html
http___dx.doi.org_10.1109_CEC55065.2022.9870340 http://dx.doi.org/10.1109/CEC55065.2022.9870340
Xu:2023:GECCOcomp Multi-Objective Genetic Programming Based on Decomposition on Evolving Scheduling Heuristics for Dynamic Scheduling
MengXu.html
YiMei.html
FangfangZhang.html
MengjieZhang.html
http___dx.doi.org_10.1145_3583133.3590582 http://dx.doi.org/10.1145/3583133.3590582
xu:2023:AJCAI A Semantic Genetic Programming Approach to Evolving Heuristics for Multi-objective Dynamic Scheduling
MengXu.html
YiMei.html
FangfangZhang.html
MengjieZhang.html
https___link.springer.com_chapter_10.1007_978-981-99-8391-9_32 https://link.springer.com/chapter/10.1007/978-981-99-8391-9_32
http___dx.doi.org_10.1007_978-981-99-8391-9_32 http://dx.doi.org/10.1007/978-981-99-8391-9_32
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MengXu.html
YiMei.html
FangfangZhang.html
MengjieZhang.html
https___ieeexplore.ieee.org_document_10044237_keywords https://ieeexplore.ieee.org/document/10044237/keywords
http___dx.doi.org_10.1109_TEVC.2023.3244607 http://dx.doi.org/10.1109/TEVC.2023.3244607
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MengXu.html
YiMei.html
ShiqiangZhu.html
BeibeiZhang.html
TianXiang.html
FangfangZhang.html
MengjieZhang.html
http___dx.doi.org_10.1109_TSC.2023.3249160 http://dx.doi.org/10.1109/TSC.2023.3249160
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MengXu.html
YiMei.html
FangfangZhang.html
MengjieZhang.html
https___ieeexplore.ieee.org_document_10324315 https://ieeexplore.ieee.org/document/10324315
http___dx.doi.org_10.1109_TEVC.2023.3334626 http://dx.doi.org/10.1109/TEVC.2023.3334626
Meng_Xu:ieeeCIM Genetic Programming and Reinforcement Learning on Learning Heuristics for Dynamic Scheduling: A Preliminary Comparison
MengXu.html
YiMei.html
FangfangZhang.html
MengjieZhang.html
https___github.com_fangfang-zhang_fangfang-zhang.github.io_blob_main_files__5B2024_5D_20GPRL_20on_20Learning_20Heuristics_20for_20Dynamic_20Scheduling-A_20Preliminary_20Comparison.pdf https://github.com/fangfang-zhang/fangfang-zhang.github.io/blob/main/files/%5B2024%5D%20GPRL%20on%20Learning%20Heuristics%20for%20Dynamic%20Scheduling-A%20Preliminary%20Comparison.pdf
http___dx.doi.org_10.1109_MCI.2024.3363970 http://dx.doi.org/10.1109/MCI.2024.3363970
Xu:2017:IIAI-AAI Identifying Expectation Transformation in a Housing Market under Different Exogenous Conditions: An Agent-Based Modeling Approach
RuhangXu.html
ZhilinLiu.html
http___dx.doi.org_10.1109_IIAI-AAI.2017.20 http://dx.doi.org/10.1109/IIAI-AAI.2017.20
Xu:2013:ietIP Pixel-wise skin colour detection based on flexible neural tree
TaoXu.html
YunhongWang.html
ZhaoxiangZhang.html
http___dx.doi.org_10.1049_iet-ipr.2012.0657 http://dx.doi.org/10.1049/iet-ipr.2012.0657
Xu:2016:NDSS Automatically Evading Classifiers: A Case Study on PDF Malware Classifiers
WeilinXu.html
YanjunQi.html
DavidEvans.html
http___evademl.org_ http://evademl.org/
https___www.internetsociety.org_events_ndss-symposium-2016_ndss-2016-programme https://www.internetsociety.org/events/ndss-symposium-2016/ndss-2016-programme
https___www.internetsociety.org_sites_default_files_blogs-media_automatically-evading-classifiers.pdf https://www.internetsociety.org/sites/default/files/blogs-media/automatically-evading-classifiers.pdf
1_Xu_Weilin_2019_PHD Improving Robustness of Machine Learning Models Using Domain Knowledge
WeilinXu.html
https___libraetd.lib.virginia.edu_downloads_p5547r86f_filename_1_Xu_Weilin_2019_PHD.pdf https://libraetd.lib.virginia.edu/downloads/p5547r86f?filename=1_Xu_Weilin_2019_PHD.pdf
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https___doi.org_10.18130_v3-s4qm-kp71 https://doi.org/10.18130/v3-s4qm-kp71
Xu:2023:ASIANCON Cartesian Genetic Programming Algorithm and its Application in Artistic Graphics Generation
WeiweiXu.html
http___dx.doi.org_10.1109_ASIANCON58793.2023.10270730 http://dx.doi.org/10.1109/ASIANCON58793.2023.10270730
Xu:2023:CASES Work-in-Process: Error-Compensation-Based Energy-Efficient MAC Unit for CNNs
XingyuXu.html
QingwenWei.html
YangZhang.html
HaoCai.html
BoLiu.html
http___ieeexplore.ieee.org_xpl_articleDetails.jsp_tp__arnumber_10316208 http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=10316208
Xu4:2008:cec Automatic Configuration of Metaheuristic Algorithms for Complex Combinatorial Optimization Problems
YiliangXu.html
MengHiotLim.html
Yew-SoonOng.html
http___dx.doi.org_10.1109_CEC.2008.4631116 http://dx.doi.org/10.1109/CEC.2008.4631116
DBLP:journals/jaciii/XuSMZWL22 Attribute Selection Based Genetic Network Programming for Intrusion Detection System
YuzhaoXu.html
YanjingSun.html
ZhanguoMa.html
HongjieZhao.html
YanfenWang.html
NannanLu.html
https___doi.org_10.20965_jaciii.2022.p0671 https://doi.org/10.20965/jaciii.2022.p0671
http___dx.doi.org_10.20965_jaciii.2022.p0671 http://dx.doi.org/10.20965/jaciii.2022.p0671
https___dblp.org_rec_journals_jaciii_XuSMZWL22.bib https://dblp.org/rec/journals/jaciii/XuSMZWL22.bib
Xuan:2018:GI5 Genetic Configuration Sampling: Learning a Sampling Strategy for Fault Detection of Configurable Systems
JifengXuan.html
YongfengGu.html
ZhileiRen.html
XiangyangJia.html
QingnaFan.html
http___www.cs.stir.ac.uk_events_gecco-gi-2018_papers_genetic_configuration_sampling.pdf http://www.cs.stir.ac.uk/events/gecco-gi-2018/papers/genetic_configuration_sampling.pdf
http___dx.doi.org_10.1145_3205651.3208267 http://dx.doi.org/10.1145/3205651.3208267
Xue:2022:ICSICT A Low Power Speech Recognition Processor with Precision Recoverable CRNN
AnFengXue.html
HanYan.html
RenYuanZhang.html
XueTaoWang.html
HaoZhang.html
HaoCai.html
BoLiu2.html
http___dx.doi.org_10.1109_ICSICT55466.2022.9963226 http://dx.doi.org/10.1109/ICSICT55466.2022.9963226
Xue:2016:ieeeTEC A Survey on Evolutionary Computation Approaches to Feature Selection
BingXue.html
MengjieZhang.html
WillNBrowne.html
XinYao.html
http___dx.doi.org_10.1109_TEVC.2015.2504420 http://dx.doi.org/10.1109/TEVC.2015.2504420
Xue:2017:sigevo Evolutionary Feature Manipulation in Data Mining/Big Data
BingXue.html
MengjieZhang.html
http___www.sigevolution.org_issues_SIGEVOlution1001.pdf http://www.sigevolution.org/issues/SIGEVOlution1001.pdf
http___dx.doi.org_10.1145_3089251.3089252 http://dx.doi.org/10.1145/3089251.3089252
Xue:GPEM:bookreview Sebastian Ventura and Jose Maria Luna: Pattern mining with evolutionary algorithms
BingXue.html
http___dx.doi.org_10.1007_s10710-017-9306-z http://dx.doi.org/10.1007/s10710-017-9306-z
Xue:2020:GECCOcomp Evolutionary Computation for Feature Selection and Feature Construction
BingXue.html
MengjieZhang.html
https___doi.org_10.1145_3377929.3389857 https://doi.org/10.1145/3377929.3389857
http___dx.doi.org_10.1145_3377929.3389857 http://dx.doi.org/10.1145/3377929.3389857
Fan_Xue:CACIE Automatic Generation of Semantically Rich As-Built Building Information Models Using 2D Images: A Derivative-Free Optimization Approach
FanXue.html
WilsonWSLu.html
KeChen.html
https___onlinelibrary.wiley.com_doi_abs_10.1111_mice.12378 https://onlinelibrary.wiley.com/doi/abs/10.1111/mice.12378
http___dx.doi.org_10.1111_mice.12378 http://dx.doi.org/10.1111/mice.12378
Xue:Unnatural:2016 Unnatural Feature Engineering: Evolving Augmented Graph Grammars for Argument Diagrams
LintingXue.html
CollinLynch.html
MinChi.html
http___www.educationaldatamining.org_EDM2016_proceedings_paper_137.pdf http://www.educationaldatamining.org/EDM2016/proceedings/paper_137.pdf
Xue:Mining:2017 Mining Innovative Augmented Graph Grammars for Argument Diagrams through Novelty Selection
LintingXue.html
CollinLynch.html
MinChi.html
http___educationaldatamining.org_EDM2017_proc_files_papers_paper_107.pdf http://educationaldatamining.org/EDM2017/proc_files/papers/paper_107.pdf
Xue:2015:IHMSC Modeling Systems of Ordinary Differential Equations Using Immune Based Gene Expression Programming
SiqingXue.html
JieWu.html
http___dx.doi.org_10.1109_IHMSC.2015.189 http://dx.doi.org/10.1109/IHMSC.2015.189
xue:2023:Symmetry Machine Learning Approach for Prediction of Lateral Confinement Coefficient of CFRP-Wrapped RC Columns
XingsiXue.html
CelestineMakota.html
OsamahIbrahimKhalaf.html
JaganJayabalan.html
PijushSamui.html
GhaidaMuttasharAbdulsahib.html
https___www.mdpi.com_2073-8994_15_2_545 https://www.mdpi.com/2073-8994/15/2/545
http___dx.doi.org_10.3390_sym15020545 http://dx.doi.org/10.3390/sym15020545
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XingsiXue.html
AchyutShankar.html
FrancescoFlammini.html
MazdakZamani.html
http___dx.doi.org_10.1109_JIOT.2024.3370610 http://dx.doi.org/10.1109/JIOT.2024.3370610
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TaroYabuki.html
HitoshiIba.html
http___www.iba.k.u-tokyo.ac.jp__yabuki_paper_2003-yabuki-smc.pdf http://www.iba.k.u-tokyo.ac.jp/~yabuki/paper/2003-yabuki-smc.pdf
http___dx.doi.org_10.1109_ICSMC.2003.1244444 http://dx.doi.org/10.1109/ICSMC.2003.1244444
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TaroYabuki.html
HitoshiIba.html
http___www.iba.k.u-tokyo.ac.jp__yabuki_paper_2003-yabuki-rtn-draft.pdf http://www.iba.k.u-tokyo.ac.jp/~yabuki/paper/2003-yabuki-rtn-draft.pdf
http___dx.doi.org_10.4018_978-1-59140-312-8.ch004 http://dx.doi.org/10.4018/978-1-59140-312-8.ch004
yabuki04thesis Representation Schemes for Evolutionary Automatic Programming
TaroYabuki.html
http___www.unfindable.net_paper_thesis_abstract_en_thesis_abstract_en.html http://www.unfindable.net/paper/thesis_abstract_en/thesis_abstract_en.html
DBLP:journals/jca/YacoubiJ07 A Genetic Programming Approach to Structural Identification of Cellular Automata
SamiraElYacoubi.html
PrzemyslawJacewicz.html
http___www.oldcitypublishing.com_journals_jca-home_jca-issue-contents_jca-volume-2-number-1-2007_jca-2-1-p-67-76_ http://www.oldcitypublishing.com/journals/jca-home/jca-issue-contents/jca-volume-2-number-1-2007/jca-2-1-p-67-76/
yada-thesis Stochastic models representing DNA sequence data : Construction algorithms and their applications to prediction of gene structure and function
TetsushiYada.html
http___www.is.s.u-tokyo.ac.jp_library_new-books_html_is-DD.html http://www.is.s.u-tokyo.ac.jp/library/new-books/html/is-DD.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_yada-thesis-sect3.3.ps.gz http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/yada-thesis-sect3.3.ps.gz
Yada:1999:TIPSJ Generation of Hidden Markov Model Describing Complex Motif in DNA Sequences
TetsushiYada.html
YasushiTotoki.html
KiyoshiAsai.html
MasatoIshikawa.html
http___id.nii.ac.jp_1001_00012856_ http://id.nii.ac.jp/1001/00012856/
Yadav:2016:Measurement Discharge forecasting using an Online Sequential Extreme Learning Machine (OS-ELM) model: A case study in Neckar River, Germany
BasantYadav.html
SudheerCh.html
ShashiMathur.html
JanAdamowski.html
http___dx.doi.org_10.1016_j.measurement.2016.06.042 http://dx.doi.org/10.1016/j.measurement.2016.06.042
http___www.sciencedirect.com_science_article_pii_S0263224116303347 http://www.sciencedirect.com/science/article/pii/S0263224116303347
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BasantYadav.html
http___www.iitd.ac.in_sites_default_files_phd_2013CEZ8051.pdf http://www.iitd.ac.in/sites/default/files/phd/2013CEZ8051.pdf
http___eprint.iitd.ac.in_handle_2074_7306 http://eprint.iitd.ac.in/handle/2074/7306
https___www.researchgate.net_publication_322962662_APPLICATION_OF_SOFT_COMPUTING_TECHNIQUES_FOR_WATER_QUANTITY_AND_QUALITY_MODELING https://www.researchgate.net/publication/322962662_APPLICATION_OF_SOFT_COMPUTING_TECHNIQUES_FOR_WATER_QUANTITY_AND_QUALITY_MODELING
http___eprint.iitd.ac.in_bitstream_2074_7306_1_TH-5229.pdf http://eprint.iitd.ac.in/bitstream/2074/7306/1/TH-5229.pdf
Yadav:2012:IJCA Role of the Computational Intelligence in Drugs Discovery and Design: Introduction, Techniques and Software
GeetaYadav.html
YugalKumar.html
GSahoo.html
http___www.ijcaonline.org_archives_volume51_number10_8076-1476 http://www.ijcaonline.org/archives/volume51/number10/8076-1476
http___dx.doi.org_10.5120_8076-1476 http://dx.doi.org/10.5120/8076-1476
http___research.ijcaonline.org_volume51_number10_pxc3881476.pdf http://research.ijcaonline.org/volume51/number10/pxc3881476.pdf
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SurendraYadav.html
MsManpreetKaur.html
http___dx.doi.org_10.1109_ICACITE57410.2023.10183005 http://dx.doi.org/10.1109/ICACITE57410.2023.10183005
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FaridYaghouby.html
AhmadAyatollahi.html
ReihanehBahramali.html
MaryamYaghouby.html
AHAlavi.html
http___dx.doi.org_10.1016_j.compbiomed.2010.10.004 http://dx.doi.org/10.1016/j.compbiomed.2010.10.004
http___www.sciencedirect.com_science_article_B6T5N-51CRWGV-1_2_c0eaea60cd989fbea5e856e07847ee5f http://www.sciencedirect.com/science/article/B6T5N-51CRWGV-1/2/c0eaea60cd989fbea5e856e07847ee5f
journals/es/YaghoubyABY12 Robust genetic programming-based detection of atrial fibrillation using RR intervals
FaridYaghouby.html
AhmadAyatollahi.html
ReihanehBahramali.html
MaryamYaghouby.html
http___dx.doi.org_10.1111_j.1468-0394.2010.00571.x http://dx.doi.org/10.1111/j.1468-0394.2010.00571.x
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AnwarAliYahya.html
RamlanMahmod.html
AbdRahmanBinRamli.html
http___dx.doi.org_10.1016_j.csl.2009.04.002 http://dx.doi.org/10.1016/j.csl.2009.04.002
http___www.sciencedirect.com_science_article_B6WCW-4W7B0DH-1_2_29a9b688bd5d374230572940760f5bd2 http://www.sciencedirect.com/science/article/B6WCW-4W7B0DH-1/2/29a9b688bd5d374230572940760f5bd2
Yakami:2016:TENCON Automobile driving support system evolved by Genetic Programming
GoYakami.html
IvanTTanev.html
KatsunoriShimohara.html
ShigeruKatagiri.html
MihoOhsaki.html
http___dx.doi.org_10.1109_TENCON.2016.7848001 http://dx.doi.org/10.1109/TENCON.2016.7848001
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GhaliYakoub.html
SathyajithMathew.html
JoaoLeal.html
http___dx.doi.org_10.1016_j.energy.2022.125893 http://dx.doi.org/10.1016/j.energy.2022.125893
https___www.sciencedirect.com_science_article_pii_S0360544222027797 https://www.sciencedirect.com/science/article/pii/S0360544222027797
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HananYakubu.html
CheKitKwong.html
http___dx.doi.org_10.1109_IEEM44572.2019.8978852 http://dx.doi.org/10.1109/IEEM44572.2019.8978852
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HananYakubu.html
CheKitKwong.html
CarmanKMLee.html
https___doi.org_10.1007_s00500-020-05538-8 https://doi.org/10.1007/s00500-020-05538-8
http___dx.doi.org_10.1007_s00500-020-05538-8 http://dx.doi.org/10.1007/s00500-020-05538-8
https___dblp.org_rec_journals_soco_YakubuKL21.bib https://dblp.org/rec/journals/soco/YakubuKL21.bib
yakubu:thesis Supporting new product development using customers’ online data and computational intelligence methods
HananYakubu.html
https___theses.lib.polyu.edu.hk_handle_200_11692 https://theses.lib.polyu.edu.hk/handle/200/11692
https___theses.lib.polyu.edu.hk_bitstream_200_11692_3_6132.pdf https://theses.lib.polyu.edu.hk/bitstream/200/11692/3/6132.pdf
Yalamanchili:2016:SCOPES Comparison of manual and automatic testing using genetic algorithm for information handling system
SangeethaYalamanchili.html
KSithaKumari.html
http___dx.doi.org_10.1109_SCOPES.2016.7955752 http://dx.doi.org/10.1109/SCOPES.2016.7955752
Yamada:2021:ICRAE Control Program Design of Autonomous Vehicle Robot Using Grammatical Evolution
SyuyaYamada.html
RyomaSato.html
TatsuhiroTamaki.html
EisukeKita.html
http___dx.doi.org_10.1109_ICRAE53653.2021.9657773 http://dx.doi.org/10.1109/ICRAE53653.2021.9657773
Yamagata:2017:IIAI-AAI Acquisition of Multiple Graph Structured Patterns by an Evolutionary Method Using Sets of TTSP Graph Patterns as Individuals
YuukiYamagata.html
TetsuhiroMiyahara.html
YusukeSuzuki.html
TomoyukiUchida.html
FumiyaTokuhara.html
TetsujiKuboyama.html
http___dx.doi.org_10.1109_IIAI-AAI.2017.198 http://dx.doi.org/10.1109/IIAI-AAI.2017.198
Yamagiwa:2009:CISIS Reconstruction for Artificial Degraded Image Using Constructive Solid Geometry and Strongly Typed Genetic Programming
MotoiYamagiwa.html
EijiKikuchi.html
MinoruUehara.html
MakotoMurakami.html
MasahideYoneyama.html
http___dx.doi.org_10.1109_CISIS.2009.164 http://dx.doi.org/10.1109/CISIS.2009.164
yamagiwa:2009:AI Reconstruction of the Ultrasonic Image by the Combination of Genetic Programming and Constructive Solid Geometry
MotoiYamagiwa.html
FutoshiSugimoto.html
MasahideYoneyama.html
http___link.springer.com_chapter_10.1007_978-1-4020-8823-0_34 http://link.springer.com/chapter/10.1007/978-1-4020-8823-0_34
http___dx.doi.org_10.1007_978-1-4020-8823-0_34 http://dx.doi.org/10.1007/978-1-4020-8823-0_34
Yamaguchi:2012:CEC Comparison Study of Controlling Bloat Model of GP in Constructing Filter for Cell Image Segmentation Problems
HiroakiYamaguchi.html
TomoyukiHiroyasu.html
SakitoNunokawa.html
NorikoKoizumi.html
NaokiOkumura.html
HisatakeYokouchi.html
MitsunoriMiki.html
MasatoYoshimi.html
http___dx.doi.org_10.1109_CEC.2012.6252995 http://dx.doi.org/10.1109/CEC.2012.6252995
Yamamori:2009:ICCAS-SICE An automatic model building for screening functional foods with GP
KunihitoYamamori.html
IkuoYoshihara.html
MayumiKamiguchi.html
KazuoNishiyama.html
http___ieeexplore.ieee.org_search_srchabstract.jsp_tp__arnumber_5334772 http://ieeexplore.ieee.org/search/srchabstract.jsp?tp=&arnumber=5334772
yamamoto:1998:ALR Robot path planning by genetic programming
HidehikoYamamoto.html
http___link.springer.com_article_10.1007_BF02471149 http://link.springer.com/article/10.1007/BF02471149
http___dx.doi.org_10.1007_BF02471149 http://dx.doi.org/10.1007/BF02471149
wac2005tr-lyct Experiments on the Automatic Evolution of Protocols using Genetic Programming
LidiaYamamoto.html
ChristianFTschudin.html
http___cn.cs.unibas.ch_people_ly_doc_wac2005tr-lyct.pdf http://cn.cs.unibas.ch/people/ly/doc/wac2005tr-lyct.pdf
conf/wac/YamamotoT05 Experiments on the Automatic Evolution of Protocols Using Genetic Programming
LidiaYamamoto.html
ChristianFTschudin.html
http___cn.cs.unibas.ch_people_ly_doc_wac2005-lyct.pdf http://cn.cs.unibas.ch/people/ly/doc/wac2005-lyct.pdf
http___dx.doi.org_10.1007_11687818_2 http://dx.doi.org/10.1007/11687818_2
eurogp07:yamamoto Code Regulation in Open Ended Evolution
LidiaYamamoto.html
http___dx.doi.org_10.1007_978-3-540-71605-1_25 http://dx.doi.org/10.1007/978-3-540-71605-1_25
conf/eurogp/Yamamoto08 PlasmidPL: A Plasmid-Inspired Language for Genetic Programming
LidiaYamamoto.html
http___dx.doi.org_10.1007_978-3-540-78671-9_29 http://dx.doi.org/10.1007/978-3-540-78671-9_29
Yamamoto:2011:EPIA Evolving Reaction-Diffusion Systems on GPU
LidiaYamamoto.html
WolfgangBanzhaf.html
PierreCollet.html
http___dx.doi.org_10.1007_978-3-642-24769-9_16 http://dx.doi.org/10.1007/978-3-642-24769-9_16
Yamamoto:2011:SwarmIntl Recovery Properties of Distributed Cluster Head Election using Reaction Diffusion
LidiaYamamoto.html
DanieleMiorandi.html
PierreCollet.html
WolfgangBanzhaf.html
http___dx.doi.org_10.1007_s11721-011-0058-8 http://dx.doi.org/10.1007/s11721-011-0058-8
YAMASHITA:2022:ESA Customized prediction of attendance to soccer matches based on symbolic regression and genetic programming
GabrielliHYamashita.html
FlavioSFogliatto.html
MichelJAnzanello.html
GuilhermeLTortorella.html
http___dx.doi.org_10.1016_j.eswa.2021.115912 http://dx.doi.org/10.1016/j.eswa.2021.115912
https___www.sciencedirect.com_science_article_pii_S0957417421012677 https://www.sciencedirect.com/science/article/pii/S0957417421012677
Yamazaki:2008:cec On the Generality of the Evolved Driving Rules of an Agent Operating a Model of a Car
HirotakaYamazaki.html
IvanTTanev.html
TomoyukiHiroyasu.html
KatsunoriShimohara.html
http___dx.doi.org_10.1109_CEC.2008.4631362 http://dx.doi.org/10.1109/CEC.2008.4631362
yamazaki:1998:HPlcrvgs Genetic Programming Based Learning of Control Rules for Variable Geometry Structures
KoetsuYamazaki.html
SouravKundu.html
MichitomoHamano.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_gp1998_yamazaki_1998_HPlcrvgs.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/gp1998/yamazaki_1998_HPlcrvgs.pdf
Yampolskiy:2018:EB Why We Do Not Evolve Software? Analysis of Evolutionary Algorithms
RomanVYampolskiy.html
http___dx.doi.org_10.1177_1176934318815906 http://dx.doi.org/10.1177/1176934318815906
Yan:2008:ICIEA Modeling a complex system using multiobjective genetic programming
BaiYan.html
JiangYiheng.html
ZhuYaochun.html
XiaofeiLi.html
FanLi.html
http___dx.doi.org_10.1109_ICIEA.2008.4582621 http://dx.doi.org/10.1109/ICIEA.2008.4582621
Yan:2009:CINC The Application of Macro-Economic Prediction Based on Improved Gene Expression Programming
JingfengYan.html
GuoqingLi.html
http___dx.doi.org_10.1109_CINC.2009.31 http://dx.doi.org/10.1109/CINC.2009.31
Yan:2006:WCICA Using Particle Swarm Optimization and Genetic Programming to Evolve Classification Rules
LipingYan.html
JianchaoZeng.html
http___dx.doi.org_10.1109_WCICA.2006.1713002 http://dx.doi.org/10.1109/WCICA.2006.1713002
Yan:2016:CEC Evolutionary Web Service Composition: A Graph-based Memetic Algorithm
LongfeiYan.html
YiMei.html
HuiMa.html
MengjieZhang.html
http___dx.doi.org_10.1109_CEC.2016.7743796 http://dx.doi.org/10.1109/CEC.2016.7743796
Yan:2014:SP Natural image denoising using evolved local adaptive filters
RuomeiYan.html
LingShao.html
LiLiu.html
FionaYanLiu.html
http___www.sciencedirect.com_science_article_pii_S0165168413004556 http://www.sciencedirect.com/science/article/pii/S0165168413004556
http___dx.doi.org_10.1016_j.sigpro.2013.11.019 http://dx.doi.org/10.1016/j.sigpro.2013.11.019
YAN:2022:MSSP Investigations on generalized Hjorth's parameters for machine performance degradation assessment
TongtongYan.html
DongWang2.html
TangbinXia.html
ZhikePeng.html
LifengXi.html
http___dx.doi.org_10.1016_j.ymssp.2021.108720 http://dx.doi.org/10.1016/j.ymssp.2021.108720
https___www.sciencedirect.com_science_article_pii_S0888327021010396 https://www.sciencedirect.com/science/article/pii/S0888327021010396
Yan:2022:OJIM Genetic Programming-Based Machine Degradation Modeling Methodology
TongtongYan.html
DongWang.html
http___dx.doi.org_10.1109_OJIM.2022.3186057 http://dx.doi.org/10.1109/OJIM.2022.3186057
1144290 Behavioural GP diversity for dynamic environments: an application in hedge fund investment
WeiYan.html
ChristopherDClack.html
http___gpbib.cs.ucl.ac.uk_gecco2006_docs_p1817.pdf http://gpbib.cs.ucl.ac.uk/gecco2006/docs/p1817.pdf
http___dx.doi.org_10.1145_1143997.1144290 http://dx.doi.org/10.1145/1143997.1144290
1277383 Diverse committees vote for dependable profits
WeiYan.html
ChristopherDClack.html
http___gpbib.cs.ucl.ac.uk_gecco2007_docs_p2226.pdf http://gpbib.cs.ucl.ac.uk/gecco2007/docs/p2226.pdf
http___dx.doi.org_10.1145_1276958.1277383 http://dx.doi.org/10.1145/1276958.1277383
1277384 Evolving robust GP solutions for hedge fund stock selection in emerging markets
WeiYan.html
ChristopherDClack.html
http___gpbib.cs.ucl.ac.uk_gecco2007_docs_p2234.pdf http://gpbib.cs.ucl.ac.uk/gecco2007/docs/p2234.pdf
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.141.7354 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.141.7354
http___dx.doi.org_10.1145_1276958.1277384 http://dx.doi.org/10.1145/1276958.1277384
Yan:2008:gecco Learning to optimize profits beats predicting returns -: comparing techniques for financial portfolio optimisation
WeiYan.html
MartinVSewell.html
ChristopherDClack.html
http___gpbib.cs.ucl.ac.uk_gecco2008_docs_p1681.pdf http://gpbib.cs.ucl.ac.uk/gecco2008/docs/p1681.pdf
http___dx.doi.org_10.1145_1389095.1389409 http://dx.doi.org/10.1145/1389095.1389409
DBLP:conf/gecco/YanC09 Behavioural GP diversity for adaptive stock selection
WeiYan.html
ChristopherDClack.html
http___dx.doi.org_10.1145_1569901.1570120 http://dx.doi.org/10.1145/1569901.1570120
Yan:2010:SC Evolving robust GP solutions for hedge fund stock selection in emerging markets
WeiYan.html
ChristopherDClack.html
http___www.cs.ucl.ac.uk_staff_C.Clack_research_SoftComputing08_draft.pdf http://www.cs.ucl.ac.uk/staff/C.Clack/research/SoftComputing08_draft.pdf
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.142.140 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.142.140
http___dx.doi.org_10.1007_s00500-009-0511-4 http://dx.doi.org/10.1007/s00500-009-0511-4
WeiYan:thesis New Algorithms for Evolving Robust Genetic Programming Solutions in Dynamic Environments with a Real World Case Study in Hedge Fund Stock Selection
WeiYan.html
http___discovery.ucl.ac.uk_1380128_ http://discovery.ucl.ac.uk/1380128/
https___discovery.ucl.ac.uk_id_eprint_1380128_1_1380128_WeiThesisFinal.pdf https://discovery.ucl.ac.uk/id/eprint/1380128/1/1380128_WeiThesisFinal.pdf
https___ethos.bl.uk_OrderDetails.do_uin_uk.bl.ethos.625961 https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.625961
yan:2019:JMSE Multigene Genetic-Programming-Based Models for Initial Dilution of Laterally Confined Vertical Buoyant Jets
XiaohuiYan.html
AbdolmajidMohammadian.html
https___www.mdpi.com_2077-1312_7_8_246 https://www.mdpi.com/2077-1312/7/8/246
http___dx.doi.org_10.3390_jmse7080246 http://dx.doi.org/10.3390/jmse7080246
yan:2021:JMSE Simulations of the Concentration Fields of Rosette-Type Multiport Buoyant Discharges Using Combined CFD and Multigene Genetic Programming Techniques
XiaohuiYan.html
YanWang.html
AbdolmajidMohammadian.html
JianweiLiu.html
https___www.mdpi.com_2077-1312_9_11_1311 https://www.mdpi.com/2077-1312/9/11/1311
http___dx.doi.org_10.3390_jmse9111311 http://dx.doi.org/10.3390/jmse9111311
YAN:2021:JH Modeling spatial distribution of flow depth in fluvial systems using a hybrid two-dimensional hydraulic-multigene genetic programming approach
XiaohuiYan.html
AbdolmajidMohammadian.html
AliKhelifa.html
http___dx.doi.org_10.1016_j.jhydrol.2021.126517 http://dx.doi.org/10.1016/j.jhydrol.2021.126517
https___www.sciencedirect.com_science_article_pii_S0022169421005643 https://www.sciencedirect.com/science/article/pii/S0022169421005643
YAN:2023:jhydrol Two-dimensional convolutional neural network outperforms other machine learning architectures for water depth surrogate modeling
XiaohuiYan.html
AbdolmajidMohammadian.html
RuiguiAo.html
JianweiLiu.html
NaYang.html
http___dx.doi.org_10.1016_j.jhydrol.2022.128812 http://dx.doi.org/10.1016/j.jhydrol.2022.128812
https___www.sciencedirect.com_science_article_pii_S0022169422013828 https://www.sciencedirect.com/science/article/pii/S0022169422013828
yan:2022:JMSE CFD-CNN Modeling of the Concentration Field of Multiport Buoyant Jets
XiaohuiYan.html
YanWang.html
AbdolmajidMohammadian.html
JianweiLiu.html
XiaoqiangChen.html
https___www.mdpi.com_2077-1312_10_10_1383 https://www.mdpi.com/2077-1312/10/10/1383
http___dx.doi.org_10.3390_jmse10101383 http://dx.doi.org/10.3390/jmse10101383
conf/ahs/YanWLZK06 Designing Electronic Circuits by Means of Gene Expression Programming
Xue-songYan.html
WeiWei.html
RuiLiu.html
San-youZeng.html
Li-ShanKang.html
http___dx.doi.org_10.1109_AHS.2006.31 http://dx.doi.org/10.1109/AHS.2006.31
Yan:2010:ICNC Electronic circuits automatic design algorithm
Xue-songYan.html
JianJin.html
http___dx.doi.org_10.1109_ICNC.2010.5584122 http://dx.doi.org/10.1109/ICNC.2010.5584122
Yan:2021:CEC Automatically Extracting Features Using Genetic Programming for Low-Quality Fish Image Classification
ZichuYan.html
YingBi.html
BingXue.html
MengjieZhang.html
http___dx.doi.org_10.1109_CEC45853.2021.9504737 http://dx.doi.org/10.1109/CEC45853.2021.9504737
Yanagi:2001:ieice Robot learning of cooperative behavior using Genetic Programming
KosukeYanai.html
HideyukiMita.html
HitoshiIba.html
https___ci.nii.ac.jp_naid_110003187220_ https://ci.nii.ac.jp/naid/110003187220/
Yanai:2001:MAR Multi-agent Robot Learning by Means of Genetic Programming : Solving an Escape Problem
KohsukeYanai.html
HitoshiIba.html
http___dx.doi.org_10.1007_3-540-45443-8_17 http://dx.doi.org/10.1007/3-540-45443-8_17
Yanai:aspgp03 Program Evolution Using Bayesian Network
KohsukeYanai.html
HitoshiIba.html
Yanai:2003:EodpboBn Estimation of Distribution Programming Based on Bayesian Network
KohsukeYanai.html
HitoshiIba.html
http___www.iba.k.u-tokyo.ac.jp_papers_2003_yanaiCEC2003.pdf http://www.iba.k.u-tokyo.ac.jp/papers/2003/yanaiCEC2003.pdf
http___dx.doi.org_10.1109_CEC.2003.1299866 http://dx.doi.org/10.1109/CEC.2003.1299866
yanai:peb:gecco2004 Program Evolution by Integrating EDP and GP
KohsukeYanai.html
HitoshiIba.html
http___dx.doi.org_10.1007_b98643 http://dx.doi.org/10.1007/b98643
http___www.iba.k.u-tokyo.ac.jp_papers_2004_yanaiGECCO2004.pdf http://www.iba.k.u-tokyo.ac.jp/papers/2004/yanaiGECCO2004.pdf
Yanai:2004:aspgp Probabilistic Model-Building Genetic Programming based on Dependency Relationship
KohsukeYanai.html
HitoshiIba.html
1068305 Probabilistic distribution models for EDA-based GP
KohsukeYanai.html
HitoshiIba.html
http___gpbib.cs.ucl.ac.uk_gecco2005_docs_p1775.pdf http://gpbib.cs.ucl.ac.uk/gecco2005/docs/p1775.pdf
http___dx.doi.org_10.1145_1068009.1068305 http://dx.doi.org/10.1145/1068009.1068305
DBLP:conf/gecco/YanaseHI09 Binary encoding for prototype tree of probabilistic model building GP
ToshihikoYanase.html
YoshihikoHasegawa.html
HitoshiIba.html
http___dx.doi.org_10.1145_1569901.1570055 http://dx.doi.org/10.1145/1569901.1570055
conf/icic/YangCM09 Inference of Differential Equation Models by Multi Expression Programming for Gene Regulatory Networks
BinYang.html
YuehuiChen.html
QingfangMeng.html
http___dx.doi.org_10.1007_978-3-642-04020-7_105 http://dx.doi.org/10.1007/978-3-642-04020-7_105
Yang:2013:academy Ensemble of Flexible Neural Tree and Ordinary Differential Equations for Small-time Scale Network Traffic Prediction
BinYang.html
MingyanJiang.html
YuehuiChen.html
QingfangMeng.html
AjithAbraham.html
http___ojs.academypublisher.com_index.php_jcp_article_view_10007 http://ojs.academypublisher.com/index.php/jcp/article/view/10007
http___dx.doi.org_10.4304_jcp.8.12.3039-3046 http://dx.doi.org/10.4304/jcp.8.12.3039-3046
conf/his/YangZYL15 Reverse Engineering of Time-Delayed Gene Regulatory Network Using Restricted Gene Expression Programming
BinYang.html
WeiZhang.html
XiaofeiYan.html
CaixiaLiu.html
http___dx.doi.org_10.1007_978-3-319-27221-4_13 http://dx.doi.org/10.1007/978-3-319-27221-4_13
journals/jbcb/YangLZ16 Reverse engineering of gene regulatory network using restricted gene expression programming
BinYang.html
SanrongLiu.html
WeiZhang.html
http___dx.doi.org_10.1142_S0219720016500219 http://dx.doi.org/10.1142/S0219720016500219
journals/cin/YangZW19 Stock Market Forecasting Using Restricted Gene Expression Programming
BinYang.html
WeiZhang.html
HaifengWang.html
http___dx.doi.org_10.1155_2019_7198962 http://dx.doi.org/10.1155/2019/7198962
YANG:2020:AWR New dynamic two-layer model for predicting depth-averaged velocity in open channel flows with rigid submerged canopies of different densities
FanYang.html
Wen-XinHuai.html
Yu-HongZeng.html
http___dx.doi.org_10.1016_j.advwatres.2020.103553 http://dx.doi.org/10.1016/j.advwatres.2020.103553
http___www.sciencedirect.com_science_article_pii_S0309170819303148 http://www.sciencedirect.com/science/article/pii/S0309170819303148
yang:2018:GPTP Program Search for Machine Learning Pipelines Leveraging Symbolic Planning and Reinforcement Learning
FangkaiYang.html
StevenMGustafson.html
AlexanderElkholy.html
DaomingLyu.html
BoLiu.html
http___link.springer.com_chapter_10.1007_978-3-030-04735-1_11 http://link.springer.com/chapter/10.1007/978-3-030-04735-1_11
http___dx.doi.org_10.1007_978-3-030-04735-1_11 http://dx.doi.org/10.1007/978-3-030-04735-1_11
Yang:2018:Symmetry Applying Genetic Programming with Similar Bug Fix Information to Automatic Fault Repair
GeunseokYang.html
YoungjunJeong.html
KyeongsicMin.html
Jung-WonLee.html
ByungjeongLee.html
https___www.mdpi.com_2073-8994_10_4_92_pdf https://www.mdpi.com/2073-8994/10/4/92/pdf
http___dx.doi.org_10.3390_sym10040092 http://dx.doi.org/10.3390/sym10040092
Yang:2015a:EP Modeling oil production based on symbolic regression
GuangfeiYang.html
XiannengLi.html
JianliangWang.html
LianLian.html
TiejuMa.html
http___www.sciencedirect.com_science_article_pii_S0301421515000798 http://www.sciencedirect.com/science/article/pii/S0301421515000798
http___dx.doi.org_10.1016_j.enpol.2015.02.016 http://dx.doi.org/10.1016/j.enpol.2015.02.016
Yang:2015:EP Modeling the nexus between carbon dioxide emissions and economic growth
GuangfeiYang.html
TaoSun.html
JianliangWang.html
XiannengLi.html
http___dx.doi.org_10.1016_j.enpol.2015.06.031 http://dx.doi.org/10.1016/j.enpol.2015.06.031
http___www.sciencedirect.com_science_article_pii_S0301421515002499 http://www.sciencedirect.com/science/article/pii/S0301421515002499
Yang:2008:ieeeSMC Multiobjective lot scheduling and dynamic OHT routing in a 300-mm wafer fab
Jia-WeiYang.html
Hsueh-ChienCheng.html
Tsung-CheChiang.html
Li-ChenFu.html
http___dx.doi.org_10.1109_ICSMC.2008.4811517 http://dx.doi.org/10.1109/ICSMC.2008.4811517
Yang:2016:ASC A chaotic time series prediction model for speech signal encoding based on genetic programming
PengfeiWen.html
JunxiZhang.html
XiaojunWu.html
YumeiZhang.html
JingjingLi.html
http___dx.doi.org_10.1016_j.asoc.2015.10.003 http://dx.doi.org/10.1016/j.asoc.2015.10.003
http___www.sciencedirect.com_science_article_pii_S1568494615006183 http://www.sciencedirect.com/science/article/pii/S1568494615006183
Yang:2018:IJHPCN Short-term vegetable prices forecast based on improved gene expression programming
PengfeiWen.html
KangshunLi.html
WenshengZhang.html
YaolangKong.html
http___dx.doi.org_10.1504_IJHPCN.2018.10012996 http://dx.doi.org/10.1504/IJHPCN.2018.10012996
yang:145 Two-Stepped Evolutionary Algorithm and Its Application to Stability Analysis of Slopes
ChengxiangYang.html
LGTham.html
Xia-TingFeng.html
YJWang.html
PKKLee.html
http___link.aip.org_link__QCP_18_145_1 http://link.aip.org/link/?QCP/18/145/1
http___dx.doi.org_10.1061__ASCE_0887-3801_2004_18_2_145_ http://dx.doi.org/10.1061/(ASCE)0887-3801(2004)18:2(145)
journals/jossac/YangLHL14 Forecasting time series with genetic programming based on least square method
FengmeiYang.html
MengLi.html
AnqiangHuang.html
JianLi.html
http___dx.doi.org_10.1007_s11424-014-3295-2 http://dx.doi.org/10.1007/s11424-014-3295-2
Yang3:2008:cec A Personalized Association Rule Ranking Method Based on Semantic Similarity and Evolutionary Computation
GuangfeiYang.html
KaoruShimada.html
ShingoMabu.html
KotaroHirasawa.html
http___dx.doi.org_10.1109_CEC.2008.4630842 http://dx.doi.org/10.1109/CEC.2008.4630842
Guangfei_Yang:thesis Study on association rule retrieval and association rule-based classification using evolutionary computation
GuangfeiYang.html
http___dspace.wul.waseda.ac.jp_dspace_bitstream_2065_35005_3_Honbun-5128.pdf http://dspace.wul.waseda.ac.jp/dspace/bitstream/2065/35005/3/Honbun-5128.pdf
http___dspace.wul.waseda.ac.jp_dspace_bitstream_2065_35005_1_Gaiyo-5128.pdf http://dspace.wul.waseda.ac.jp/dspace/bitstream/2065/35005/1/Gaiyo-5128.pdf
http___dspace.wul.waseda.ac.jp_dspace_bitstream_2065_35005_2_Shinsa-5128.pdf http://dspace.wul.waseda.ac.jp/dspace/bitstream/2065/35005/2/Shinsa-5128.pdf
http___hdl.handle.net_2065_35005 http://hdl.handle.net/2065/35005
DBLP:conf/gecco/YangMSGH09 Ranking association rules for classification based on genetic network programming
GuangfeiYang.html
ShingoMabu.html
KaoruShimada.html
YunluGong.html
KotaroHirasawa.html
http___dx.doi.org_10.1145_1569901.1570234 http://dx.doi.org/10.1145/1569901.1570234
Yang:2009:ICCAS-SICE A New Associative Classification Method by Integrating CMAR and RuleRank Model based on Genetic Network Programming
GuangfeiYang.html
ShingoMabu.html
KaoruShimada.html
KotaroHirasawa.html
http___ieeexplore.ieee.org_xpls_abs_all.jsp_arnumber_5332932 http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5332932
Yang:2010:ICIECS Utilization of Genetic Programming to Establish Demand Forecast in Taiwan International Flights
Hui-HuaYang.html
Shih-HuangChen.html
JuiYingHung.html
Ching-TsungHung.html
Meng-LungChung.html
http___dx.doi.org_10.1109_ICIECS.2010.5677766 http://dx.doi.org/10.1109/ICIECS.2010.5677766
YANG:2022:procs Quantifying Uncertainties of Residuals in Symbolic Regression via Kriging
KaifengYang.html
MichaelAffenzeller.html
https___www.sciencedirect.com_science_article_pii_S1877050922003027 https://www.sciencedirect.com/science/article/pii/S1877050922003027
http___dx.doi.org_10.1016_j.procs.2022.01.293 http://dx.doi.org/10.1016/j.procs.2022.01.293
yang:2023:EMO Surrogate-assisted Multi-objective Optimization via Genetic Programming Based Symbolic Regression
KaifengYang.html
MichaelAffenzeller.html
http___link.springer.com_chapter_10.1007_978-3-031-27250-9_13 http://link.springer.com/chapter/10.1007/978-3-031-27250-9_13
http___dx.doi.org_10.1007_978-3-031-27250-9_13 http://dx.doi.org/10.1007/978-3-031-27250-9_13
journals/ijcisys/0009M16 A hybrid gene expression programming algorithm based on orthogonal design
JieYang.html
JunMa.html
http___www.atlantis-press.com_php_download_paper.php_id_25868727 http://www.atlantis-press.com/php/download_paper.php?id=25868727
http___dx.doi.org_10.1080_18756891.2016.1204124 http://dx.doi.org/10.1080/18756891.2016.1204124
yang:2018:PNaA Distributed correlation model mining from remote sensing big data based on gene expression programming
LechanYang.html
ZhihaoQin.html
http___link.springer.com_article_10.1007_s12083-017-0589-x http://link.springer.com/article/10.1007/s12083-017-0589-x
http___dx.doi.org_10.1007_s12083-017-0589-x http://dx.doi.org/10.1007/s12083-017-0589-x
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LechanYang.html
SongDeng.html
ZiZhang.html
http___dx.doi.org_10.1016_j.compeleceng.2020.106604 http://dx.doi.org/10.1016/j.compeleceng.2020.106604
Yang:2022:CSCWD An Automatical And Efficient Image Classification Based On Improved Genetic Programming
LuYang.html
FazhiHe.html
LiDai.html
LinZhang.html
http___dx.doi.org_10.1109_CSCWD54268.2022.9776145 http://dx.doi.org/10.1109/CSCWD54268.2022.9776145
yang:2021:omega Accelerating the Selection of Covalent Organic Frameworks with Automated Machine Learning
PeisongYang.html
HuanZhang.html
XinLai.html
KunfengWang.html
QingyuanYang.html
DuliYu.html
http___dx.doi.org_10.1021_acsomega.0c05990 http://dx.doi.org/10.1021/acsomega.0c05990
conf/isica/YangLLC15 An Optimized Clustering Algorithm Using Improved Gene Expression Programming
ShulingYang.html
KangshunLi.html
WeiLi.html
WeiguangChen.html
http___dx.doi.org_10.1007_978-981-10-0356-1 http://dx.doi.org/10.1007/978-981-10-0356-1
journals/ijon/YangMLK17 Genetic programming optimization for a sentiment feedback strength based trading strategy
SteveYYang.html
SheungYinKevinMo.html
AnqiLiu.html
AndreiKirilenko.html
http___dx.doi.org_10.1016_j.neucom.2016.10.103 http://dx.doi.org/10.1016/j.neucom.2016.10.103
Yang:2014:EJHG Random forest fishing: a novel approach to identifying organic group of risk factors in genome-wide association studies
Wei_Will_Yang.html
CCharlesGu.html
http___www.ncbi.nlm.nih.gov_pmc_articles_PMC http://www.ncbi.nlm.nih.gov/pmc/articles/PMC
http___www.ncbi.nlm.nih.gov_pubmed_23695277 http://www.ncbi.nlm.nih.gov/pubmed/23695277
http___dx.doi.org_10.1038_ejhg.2013.109 http://dx.doi.org/10.1038/ejhg.2013.109
Ya:SV:06 Establishment of the mathematical model for diagnosing the engine valve faults by genetic programming
WenxianYang.html
https___dspace.lib.cranfield.ac.uk_bitstream_1826_1131_1_Yang-JSVpaper-Math_model_engine_valve_faults.pdf https://dspace.lib.cranfield.ac.uk/bitstream/1826/1131/1/Yang-JSVpaper-Math+model+engine+valve+faults.pdf
http___hdl.handle.net_1826_1131 http://hdl.handle.net/1826/1131
http___dx.doi.org_10.1016_j.jsv.2005.09.004 http://dx.doi.org/10.1016/j.jsv.2005.09.004
YANG:2021:DSS Modeling relationships between retail prices and consumer reviews: A machine discovery approach and comprehensive evaluations
XianYang.html
GuangfeiYang.html
JiangningWu.html
YanzhongDang.html
WeiguoFan.html
http___dx.doi.org_10.1016_j.dss.2021.113536 http://dx.doi.org/10.1016/j.dss.2021.113536
https___www.sciencedirect.com_science_article_pii_S0167923621000464 https://www.sciencedirect.com/science/article/pii/S0167923621000464
YANG:2019:GM Real-virtual consistent traffic flow interaction
XinYang.html
YuliangWang.html
ShuaiLi2.html
XinglinPiao.html
BaocaiYin.html
QiangZhang.html
DongshengZhou.html
XiaopengWei.html
http___dx.doi.org_10.1016_j.gmod.2019.101048 http://dx.doi.org/10.1016/j.gmod.2019.101048
http___www.sciencedirect.com_science_article_pii_S1524070319300396 http://www.sciencedirect.com/science/article/pii/S1524070319300396
Yang:2012:CSCWD Modeling of cutting forces in a face-milling operation with Gene Expression Programming
YangYang.html
XinyuLi.html
PingJiang.html
LongWen.html
http___dx.doi.org_10.1109_CSCWD.2012.6221907 http://dx.doi.org/10.1109/CSCWD.2012.6221907
Yang:2012:CEC A Multitasks Learning Approach to Autonomous Agent based on Genetic Network Programming
YangYang.html
ShingoMabu.html
KotaroHirasawa.html
http___dx.doi.org_10.1109_CEC.2012.6256457 http://dx.doi.org/10.1109/CEC.2012.6256457
YangYang:thesis Study on Architecture of Genetic Network Programming based on Cooperative Division Strategy
YangYang.html
http___jairo.nii.ac.jp_0069_00023924_en http://jairo.nii.ac.jp/0069/00023924/en
http___dspace.wul.waseda.ac.jp_dspace_bitstream_2065_40055_1_Honbun-6123.pdf http://dspace.wul.waseda.ac.jp/dspace/bitstream/2065/40055/1/Honbun-6123.pdf
http___dspace.wul.waseda.ac.jp_dspace_bitstream_2065_40055_2_Shinsa-6123.pdf http://dspace.wul.waseda.ac.jp/dspace/bitstream/2065/40055/2/Shinsa-6123.pdf
http___dspace.wul.waseda.ac.jp_dspace_bitstream_2065_40055_3_Gaiyo-6123.pdf http://dspace.wul.waseda.ac.jp/dspace/bitstream/2065/40055/3/Gaiyo-6123.pdf
Yang:2013:JNCA A new approach for predicting and collaborative evaluating the cutting force in face milling based on gene expression programming
YangYang.html
XinyuLi.html
LiangGao.html
XinyuShao.html
http___dx.doi.org_10.1016_j.jnca.2013.02.004 http://dx.doi.org/10.1016/j.jnca.2013.02.004
http___www.sciencedirect.com_science_article_pii_S1084804513000428 http://www.sciencedirect.com/science/article/pii/S1084804513000428
Yang:2010:ICCASM Robot autonomous navigation based on multi-sensor global calibrated
YanjunYang.html
ZhongfanXiang.html
QiangWang.html
ZaixinLiu.html
http___dx.doi.org_10.1109_ICCASM.2010.5620743 http://dx.doi.org/10.1109/ICCASM.2010.5620743
yang:2000:JCCE Fuzzy logic integrated genetic programming for structural optimization and design
YaowenYang.html
CheeKiongSoh.html
http___www.wmich.edu_jcce_v14n4ab5.htm http://www.wmich.edu/jcce/v14n4ab5.htm
http___dx.doi.org_10.1061__ASCE_0887-3801_2000_14_4_249_ http://dx.doi.org/10.1061/(ASCE)0887-3801(2000)14:4(249)
yang:2002:CS Automated optimum design of structures using genetic programming
YaowenYang.html
CheeKiongSoh.html
http___dx.doi.org_10.1016_S0045-7949_02_00108-6 http://dx.doi.org/10.1016/S0045-7949(02)00108-6
http___dx.doi.org_10.1061__ASCE_0887-3801_2000_14_1_31_ http://dx.doi.org/10.1061/(ASCE)0887-3801(2000)14:1(31)
YaowenYang:2004:SPIE An integrated evolutionary programming and impedance-based NDE method
YaowenYang.html
CheeKiongSoh.html
JianfengXu.html
http___spiedl.aip.org_getabs_servlet_GetabsServlet_prog_normal_id_PSISDG005649000001000154000001_idtype_cvips_gifs_Yes_bproc_volrange_scode_5600_20-_205699 http://spiedl.aip.org/getabs/servlet/GetabsServlet?prog=normal&id=PSISDG005649000001000154000001&idtype=cvips&gifs=Yes&bproc=volrange&scode=5600%20-%205699
http___dx.doi.org_10.1117_12.581489 http://dx.doi.org/10.1117/12.581489
YaowenYang:2005:JSV Integrated optimal design of vibration control system for smart beams using genetic algorithms
YaowenYang.html
ZhanliJin.html
CheeKiongSoh.html
http___dx.doi.org_10.1016_j.jsv.2004.03.048 http://dx.doi.org/10.1016/j.jsv.2004.03.048
YaowenWYang:2005:IJNME Force identification of dynamic systems using genetic programming
YaowenYang.html
ChaoWang.html
CheeKiongSoh.html
http___dx.doi.org_10.1002_nme.1323 http://dx.doi.org/10.1002/nme.1323
YaowenYang:2005:EJOR An evolutionary programming algorithm for continuous global optimization
YaowenYang.html
JianfengXu.html
CheeKiongSoh.html
http___www.elsevier.com_locate_ejor http://www.elsevier.com/locate/ejor
http___dx.doi.org_10.1016_j.ejor.2004.05.007 http://dx.doi.org/10.1016/j.ejor.2004.05.007
YaowenYang:2006:JAE Integrated optimization of control systems for smart cylindrical shells using a modified GA
YaowenYang.html
ZhanliJin.html
CheeKiongSoh.html
http___ascelibrary.aip.org_getabs_servlet_GetabsServlet_prog_normal_id_JAEEEZ000019000002000068000001_idtype_cvips_gifs_Yes http://ascelibrary.aip.org/getabs/servlet/GetabsServlet?prog=normal&id=JAEEEZ000019000002000068000001&idtype=cvips&gifs=Yes
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http___dx.doi.org_10.1061__ASCE_0893-1321_2006_19_2_68_ http://dx.doi.org/10.1061/(ASCE)0893-1321(2006)19:2(68)
oai:repository.ust.hk:1783.1-73092 Optimal operating strategy for a joint system of a single reservoir and seawater desalination plant using genetic programming
YiYang.html
TzeLingNg.html
http___hdl.handle.net_1783.1_73092 http://hdl.handle.net/1783.1/73092
ZhengRongYang:2003:BS Searching for discrimination rules in protease proteolytic cleavage activity using genetic programming with a min-max scoring function
ZhengRongYang.html
RebeccaThomson.html
TCharlesHodgman.html
JonathanDry.html
AustinKDoyle.html
AjitNarayanan.html
XiKunWu.html
http___www.sciencedirect.com_science_article_B6T2K-49N9DN6-2_2_0d63ebb7904ac33ae0d20ce4f6477a57 http://www.sciencedirect.com/science/article/B6T2K-49N9DN6-2/2/0d63ebb7904ac33ae0d20ce4f6477a57
http___dx.doi.org_10.1016_S0303-2647_03_00141-2 http://dx.doi.org/10.1016/S0303-2647(03)00141-2
ZhengRongYang:2004:B Mining HIV protease cleavage data using genetic programming with a sum-product function
ZhengRongYang.html
AndrewRowlandDalby.html
JingQiu.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.612.3378 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.612.3378
http___bioinformatics.oxfordjournals.org_content_early_2004_07_15_bioinformatics.bth414.full.pdf http://bioinformatics.oxfordjournals.org/content/early/2004/07/15/bioinformatics.bth414.full.pdf
http___dx.doi.org_10.1093_bioinformatics_bth414 http://dx.doi.org/10.1093/bioinformatics/bth414
conf/imecs/Yang07 Peptide Classification with Genetic Programming Ensemble of Generalised Indicator Models
ZhengRongYang.html
ZhengRongYang:2009:B A genetic programming approach for Burkholderia Pseudomallei diagnostic pattern discovery
ZhengRongYang.html
GanjanaLertmemongkolchai.html
GladysTan.html
PhilipLFelgner.html
RichardTitball.html
http___dx.doi.org_10.1093_bioinformatics_btp390 http://dx.doi.org/10.1093/bioinformatics/btp390
http___results.ref.ac.uk_Submissions_Output_2528334 http://results.ref.ac.uk/Submissions/Output/2528334
Yang:2006:WCICA Study on the Node Increasing Problem of Genetic Programming with Bounded Individual Size
ZaiyueYang.html
CWChan.html
http___dx.doi.org_10.1109_WCICA.2006.1713038 http://dx.doi.org/10.1109/WCICA.2006.1713038
Yang:2016:Neurocomputing Surface EMG based handgrip force predictions using gene expression programming
ZhongliangYang.html
YumiaoChen.html
ZhichuanTang.html
JianpingWang.html
http___dx.doi.org_10.1016_j.neucom.2016.05.038 http://dx.doi.org/10.1016/j.neucom.2016.05.038
http___www.sciencedirect.com_science_article_pii_S0925231216303903 http://www.sciencedirect.com/science/article/pii/S0925231216303903
Yang:2018:Sensors sEMG-Based Drawing Trace Reconstruction: A Novel Hybrid Algorithm Fusing Gene Expression Programming into Kalman Filter
ZhongliangYang.html
YangliangWen.html
YumiaoChen.html
http___dx.doi.org_10.3390_s18103296 http://dx.doi.org/10.3390/s18103296
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XiaoyuYang.html
MengCai.html
JianxunLi.html
http___dx.doi.org_10.1109_CCDC.2016.7531079 http://dx.doi.org/10.1109/CCDC.2016.7531079
Yang:2021:SSCI Deck Building in Collectible Card Games using Genetic Algorithms: A Case Study of Legends of Code and Magic
Ya-JuYang.html
Tsung-SuYeh.html
Tsung-CheChiang.html
http___dx.doi.org_10.1109_SSCI50451.2021.9659984 http://dx.doi.org/10.1109/SSCI50451.2021.9659984
oai:repository.ust.hk:1783.1-81383 Optimal Operating Rules for Joint System of Water Supply Reservoir and Seawater Desalination Plant using Genetic Programming
YiYang.html
https___doi.org_10.14711_thesis-b1514746 https://doi.org/10.14711/thesis-b1514746
http___repository.ust.hk_ir_bitstream_1783.1-81383_1_th_redirect.html http://repository.ust.hk/ir/bitstream/1783.1-81383/1/th_redirect.html
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YifanYang.html
AaronChen.html
HuiMa.html
MengjieZhang.html
VictoriaHuang.html
http___dx.doi.org_10.1109_CEC45853.2021.9504709 http://dx.doi.org/10.1109/CEC45853.2021.9504709
yang:2022:SC Dual-Tree Genetic Programming for Deadline-Constrained Dynamic Workflow Scheduling in Cloud
YifanYang.html
AaronChen.html
HuiMa.html
MengjieZhang.html
http___link.springer.com_chapter_10.1007_978-3-031-20984-0_31 http://link.springer.com/chapter/10.1007/978-3-031-20984-0_31
http___dx.doi.org_10.1007_978-3-031-20984-0_31 http://dx.doi.org/10.1007/978-3-031-20984-0_31
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YuYang.html
XinZhao.html
MinHuang.html
XinWang2.html
QibingZhu.html
http___dx.doi.org_10.1016_j.compag.2021.106041 http://dx.doi.org/10.1016/j.compag.2021.106041
https___www.sciencedirect.com_science_article_pii_S0168169921000594 https://www.sciencedirect.com/science/article/pii/S0168169921000594
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YuYang.html
XinWang2.html
XinZhao.html
MinHuang.html
QibingZhu.html
http___dx.doi.org_10.1016_j.aca.2021.338453 http://dx.doi.org/10.1016/j.aca.2021.338453
https___www.sciencedirect.com_science_article_pii_S0003267021002798 https://www.sciencedirect.com/science/article/pii/S0003267021002798
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YuYang.html
ShangpengSun.html
LeiqingPan.html
MinHuang.html
QibingZhu.html
http___dx.doi.org_10.1016_j.foodcont.2022.109389 http://dx.doi.org/10.1016/j.foodcont.2022.109389
https___www.sciencedirect.com_science_article_pii_S0956713522005825 https://www.sciencedirect.com/science/article/pii/S0956713522005825
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YunhanYang.html
BingXue.html
LinleyJesson.html
MengjieZhang.html
http___dx.doi.org_10.1109_CEC45853.2021.9504963 http://dx.doi.org/10.1109/CEC45853.2021.9504963
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ZhichengYang.html
ShaoyuZhao.html
JieYang.html
AirongLiu.html
JiyangFu.html
http___dx.doi.org_10.1016_j.compstruct.2023.116709 http://dx.doi.org/10.1016/j.compstruct.2023.116709
https___www.sciencedirect.com_science_article_pii_S0263822323000533 https://www.sciencedirect.com/science/article/pii/S0263822323000533
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ZhijianMAEYang.html
BoYin.html
YuGuan.html
StephanePierreAndreRedonnet.html
YuanhangZhu.html
VikrantGupta.html
LarryKBLi.html
http___repository.ust.hk_ir_Record_1783.1-107433 http://repository.ust.hk/ir/Record/1783.1-107433
http___hdl.handle.net_1783.1_107433 http://hdl.handle.net/1783.1/107433
Yang:2020:APS Closed-loop control of a globally unstable jet using genetic programming
ZhijianMAEYang.html
BoYin.html
YuGuan.html
StephanePierreAndreRedonnet.html
YuanhangZhu.html
VikrantGupta.html
LarryKBLi.html
http___hdl.handle.net_1783.1_107418 http://hdl.handle.net/1783.1/107418
http___repository.ust.hk_ir_Record_1783.1-107418 http://repository.ust.hk/ir/Record/1783.1-107418
https___meetings.aps.org_Meeting_DFD20_Session_J03.6 https://meetings.aps.org/Meeting/DFD20/Session/J03.6
https___absimage.aps.org_image_DFD20_MWS_DFD20-2020-001947.pdf https://absimage.aps.org/image/DFD20/MWS_DFD20-2020-001947.pdf
yangiya:1995:eGPbdd Efficient Genetic Programming Based on Binary Decision Diagrams
MasayukiYanagiya.html
http___dx.doi.org_10.1109_ICEC.1995.489151 http://dx.doi.org/10.1109/ICEC.1995.489151
Yao:2019:PHM A new method for estimating lithium-ion battery capacity using genetic programming combined model
HangYao.html
XiangJia.html
BoWang.html
BoGuo.html
http___dx.doi.org_10.1109_PHM-Qingdao46334.2019.8942970 http://dx.doi.org/10.1109/PHM-Qingdao46334.2019.8942970
Yao:2020:ACC Novel Lithium-Ion Battery State-of-Health Estimation Method Using a Genetic Programming Model
HangYao.html
XiangJia.html
QianZhao.html
Zhi-JunCheng.html
BoGuo.html
http___dx.doi.org_10.1109_ACCESS.2020.2995899 http://dx.doi.org/10.1109/ACCESS.2020.2995899
journals/ijcisys/Yao0LLL17 Tactics Exploration Framework based on Genetic Programming
JianYao.html
WeipingWang.html
ZhifeiLi.html
YonglinLei.html
QunLi.html
https___download.atlantis-press.com_article_25872437.pdf https://download.atlantis-press.com/article/25872437.pdf
http___dx.doi.org_10.2991_ijcis.2017.10.1.53 http://dx.doi.org/10.2991/ijcis.2017.10.1.53
conf/icnsc/YaoHLL07 A Block Deepening Genetic Programming for Scheduling of Direct Load Control
LeehterYao.html
Tsong-HaiHsu.html
Chin-chinLin.html
Cheng-HanLin.html
http___dx.doi.org_10.1109_ICNSC.2007.372887 http://dx.doi.org/10.1109/ICNSC.2007.372887
Yao:2009:IETsp Identification of nonlinear systems by the genetic programming-based volterra filter
LeehterYao.html
Chin-chinLin.html
http___dx.doi.org_10.1049_iet-spr_20070203 http://dx.doi.org/10.1049/iet-spr:20070203
Yao:2011:IJICIC Scheduling of Direct Load Control Using Genetic Programming
LeehterYao.html
Yin-ChiehChou.html
Chin-chinLin.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.471.5528 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.471.5528
http___www.ijicic.org_ijicic-10-01110.pdf http://www.ijicic.org/ijicic-10-01110.pdf
yao:1999:fogp Universal Approximation by Genetic Programming
XinYao.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_fogp_yao.ps.gz http://www.cs.ucl.ac.uk/staff/W.Langdon/fogp/yao.ps.gz
PPSN2004 Parallel Problem Solving from Nature - PPSN VIII
XinYao.html
EdmundBurke.html
JoseALozano.html
JamesSmith.html
JuanJulianMerelo.html
JohnABullinaria.html
JonathanERowe.html
PeterTinoAtaKaban.html
Hans-PaulSchwefel.html
http___dx.doi.org_10.1007_b100601 http://dx.doi.org/10.1007/b100601
Tolga_Yapici:MastersThesis Influences of interplanetary magnetic field on the variability of the aerospace media
TolgaYapici.html
http___www.ae.metu.edu.tr__tyapici_thesis.php http://www.ae.metu.edu.tr/~tyapici/thesis.php
http___www.ae.metu.edu.tr__tyapici_thesis_cover_pages.pdf http://www.ae.metu.edu.tr/~tyapici/thesis/cover_pages.pdf
http___www.ae.metu.edu.tr__tyapici_thesis_abstract.pdf http://www.ae.metu.edu.tr/~tyapici/thesis/abstract.pdf
http___www.ae.metu.edu.tr__tyapici_thesis_oz.pdf http://www.ae.metu.edu.tr/~tyapici/thesis/oz.pdf
http___www.ae.metu.edu.tr__tyapici_thesis_chapter1.pdf http://www.ae.metu.edu.tr/~tyapici/thesis/chapter1.pdf
http___www.ae.metu.edu.tr__tyapici_thesis_chapter2.pdf http://www.ae.metu.edu.tr/~tyapici/thesis/chapter2.pdf
http___www.ae.metu.edu.tr__tyapici_thesis_chapter3.pdf http://www.ae.metu.edu.tr/~tyapici/thesis/chapter3.pdf
http___www.ae.metu.edu.tr__tyapici_thesis_chapter4.pdf http://www.ae.metu.edu.tr/~tyapici/thesis/chapter4.pdf
http___www.ae.metu.edu.tr__tyapici_thesis_chapter5.pdf http://www.ae.metu.edu.tr/~tyapici/thesis/chapter5.pdf
http___www.ae.metu.edu.tr__tyapici_thesis_references.pdf http://www.ae.metu.edu.tr/~tyapici/thesis/references.pdf
Yardimci20091029 Soft computing in medicine
AhmetYardimci.html
http___dx.doi.org_10.1016_j.asoc.2009.02.003 http://dx.doi.org/10.1016/j.asoc.2009.02.003
http___www.sciencedirect.com_science_article_B6W86-4VRP213-2_2_141a98fa1c9600c49c0883f71eb8a711 http://www.sciencedirect.com/science/article/B6W86-4VRP213-2/2/141a98fa1c9600c49c0883f71eb8a711
Yarnell:2023:ICMLA A Genetic Algorithm for Combinational Logic Circuit Synthesis Using Directed Graph Primitives
RichardCYarnell.html
PiercePowell.html
RonaldFDeMara.html
AnnieSWu.html
http___dx.doi.org_10.1109_ICMLA58977.2023.00282 http://dx.doi.org/10.1109/ICMLA58977.2023.00282
journals/cea/YassinAM16 A new predictive model for furrow irrigation infiltration using gene expression programming
MohamedAYassin.html
AAAlazba.html
MohamedAMattar.html
http___dx.doi.org_10.1016_j.compag.2016.01.035 http://dx.doi.org/10.1016/j.compag.2016.01.035
Yasuda:2006:ASPGP Using genetic programming to improve the performance of wireless LAN access point configuration
YutaYasuda.html
YujiSato.html
http___gpbib.cs.ucl.ac.uk_aspgp06_yutayasuda.pdf http://gpbib.cs.ucl.ac.uk/aspgp06/yutayasuda.pdf
Yazdani:2008:CIS Identification of Fuzzy Models Using Cartesian Genetic Programming
SamanehYazdani.html
MahdiAliyarishoorehdeli.html
MohammadTeshnehlab.html
http___dx.doi.org_10.1109_CIS.2008.143 http://dx.doi.org/10.1109/CIS.2008.143
Yazdani:2014:GPEM Balanced Cartesian Genetic Programming via migration and opposition-based learning: application to symbolic regression
SamanehYazdani.html
JamshidShanbeZadeh.html
http___dx.doi.org_10.1007_s10710-014-9230-4 http://dx.doi.org/10.1007/s10710-014-9230-4
journals/kbs/YazdaniSH17 MBCGP-FE: A modified balanced cartesian genetic programming feature extractor
SamanehYazdani.html
JamshidShanbeZadeh.html
EsmaeilHadavandi.html
http___dx.doi.org_10.1016_j.knosys.2017.08.005 http://dx.doi.org/10.1016/j.knosys.2017.08.005
Yazdian:2014:JEHSE Relationship between benthic macroinvertebrate bio-indices and physicochemical parameters of water: a tool for water resources managers
HamedYazdian.html
NematollahJaafarzadeh.html
BanafshehZahraie.html
http___www.ncbi.nlm.nih.gov_pmc_articles_PMC3895749 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3895749
http___www.ncbi.nlm.nih.gov_pubmed_24410768 http://www.ncbi.nlm.nih.gov/pubmed/24410768
http___dx.doi.org_10.1186_2052-336X-12-30 http://dx.doi.org/10.1186/2052-336X-12-30
Ye:2018:SERA An Overview of Event Based Directional Change for Algorithmic Trading
BotaoYe.html
DejunXie.html
http___dx.doi.org_10.1109_SERA.2018.8477229 http://dx.doi.org/10.1109/SERA.2018.8477229
Ye:2022:ICNISC Quantum GEP for Dynamic Multiobjective Optimization
ChaoyangYe.html
ShicongZhang.html
YishaLiu.html
JianhongLin.html
http___dx.doi.org_10.1109_ICNISC57059.2022.00169 http://dx.doi.org/10.1109/ICNISC57059.2022.00169
YE:2019:JCP A new environmental governance cost prediction method based on indicator synthesis and different risk coefficients
Fei-FeiYe.html
Long-HaoYang.html
Ying-MingWang.html
http___dx.doi.org_10.1016_j.jclepro.2018.12.029 http://dx.doi.org/10.1016/j.jclepro.2018.12.029
http___www.sciencedirect.com_science_article_pii_S0959652618337314 http://www.sciencedirect.com/science/article/pii/S0959652618337314
Ye:2008:cec Genetic Network Programming with Rules
FengmingYe.html
ShingoMabu.html
KaoruShimada.html
KotaroHirasawa.html
http___dx.doi.org_10.1109_CEC.2008.4630830 http://dx.doi.org/10.1109/CEC.2008.4630830
Ye:2009:cec Genetic Network Programming with Reconstructed Individuals
FengmingYe.html
ShingoMabu.html
LutaoWang.html
ShinjiEto.html
KotaroHirasawa.html
http___dx.doi.org_10.1109_CEC.2009.4983034 http://dx.doi.org/10.1109/CEC.2009.4983034
Ye:2009:ICCAS-SICE Genetic Network Programming with General Individual Reconstruction
FengmingYe.html
ShingoMabuandLutaoWang.html
KotaroHirasawa.html
http___ieeexplore.ieee.org_search_srchabstract.jsp_tp__arnumber_5335121 http://ieeexplore.ieee.org/search/srchabstract.jsp?tp=&arnumber=5335121
Ye:2010:SMC Genetic Network Programming with new genetic operators
FengmingYe.html
ShingoMabu.html
LutaoWang.html
KotaroHirasawa.html
http___dx.doi.org_10.1109_ICSMC.2010.5642337 http://dx.doi.org/10.1109/ICSMC.2010.5642337
Ye:2010:ieeetencon Genetic network programming with route nodes
FengmingYe.html
ShingoMabu.html
LutaoWang.html
KotaroHirasawa.html
http___dx.doi.org_10.1109_TENCON.2010.5686115 http://dx.doi.org/10.1109/TENCON.2010.5686115
Ye:2011:GECCOcomp A memory scheme for genetic network programming with adaptive mutation
FengmingYe.html
ShingoMabu.html
KotaroHirasawa.html
http___dx.doi.org_10.1145_2001858.2001958 http://dx.doi.org/10.1145/2001858.2001958
FengmingYe:thesis A Study on the Memory Schemes for Genetic Network Programming
FengmingYe.html
http___jairo.nii.ac.jp_0069_00021616_en http://jairo.nii.ac.jp/0069/00021616/en
http___dspace.wul.waseda.ac.jp_dspace_bitstream_2065_37550_3_Honbun-5698.pdf http://dspace.wul.waseda.ac.jp/dspace/bitstream/2065/37550/3/Honbun-5698.pdf
http___dspace.wul.waseda.ac.jp_dspace_bitstream_2065_37550_2_Shinsa-5698.pdf http://dspace.wul.waseda.ac.jp/dspace/bitstream/2065/37550/2/Shinsa-5698.pdf
http___dspace.wul.waseda.ac.jp_dspace_bitstream_2065_37550_1_Gaiyo-5698.pdf http://dspace.wul.waseda.ac.jp/dspace/bitstream/2065/37550/1/Gaiyo-5698.pdf
Ye:2018:SSBSE EvoIsolator: Evolving Program Slices for Hardware Isolation Based Security
MengmeiYe.html
MyraBCohen.html
WitawasSrisa-an.html
ShengWei.html
https___par.nsf.gov_servlets_purl_10088739 https://par.nsf.gov/servlets/purl/10088739
http___dx.doi.org_10.1007_978-3-319-99241-9_24 http://dx.doi.org/10.1007/978-3-319-99241-9_24
YE:2022:ijrefrig General heat transfer correlations for supercritical carbon dioxide heated in vertical tubes for upward and downward flows
ZuliangYe.html
AlirezaZendehboudi.html
ArminHafner.html
FengCao.html
http___dx.doi.org_10.1016_j.ijrefrig.2022.05.013 http://dx.doi.org/10.1016/j.ijrefrig.2022.05.013
https___www.sciencedirect.com_science_article_pii_S0140700722001670 https://www.sciencedirect.com/science/article/pii/S0140700722001670
Yeboah-Antwi:2012:GECCOcomp Evolving software applications using genetic programming -- PushCalc: the evolved calculator
KwakuYeboah-Antwi.html
http___dx.doi.org_10.1145_2330784.2330875 http://dx.doi.org/10.1145/2330784.2330875
Yeboah-Antwi:2015:gi Embedding Adaptivity in Software Systems using the ECSELR framework
KwakuYeboah-Antwi.html
BenoitBaudry.html
http___gpbib.cs.ucl.ac.uk_gi2015_embedding_adaptivity_in_software_systems_using-the_eselr_framework.pdf http://gpbib.cs.ucl.ac.uk/gi2015/embedding_adaptivity_in_software_systems_using-the_eselr_framework.pdf
http___diversify-project.eu_papers_Yeboah15.pdf http://diversify-project.eu/papers/Yeboah15.pdf
http___doi.acm.org_10.1145_2739482.2768425 http://doi.acm.org/10.1145/2739482.2768425
http___dx.doi.org_10.1145_2739482.2768425 http://dx.doi.org/10.1145/2739482.2768425
Yeboah-Antwi:2016:GPEM Online Genetic Improvement on the java virtual machine with ECSELR
KwakuYeboah-Antwi.html
BenoitBaudry.html
https___hal.inria.fr_hal-01382964 https://hal.inria.fr/hal-01382964
http___dx.doi.org_10.1007_s10710-016-9278-4 http://dx.doi.org/10.1007/s10710-016-9278-4
Yeh:1997:masm From Multi-Agent System to Macroeconomics: Applications of Genetic Programming
ChiaHsuanYeh.html
ChiaHsuanYeh:1998:GPlogm Genetic Programming Learning and the Overlapping Generations Models
ChiaHsuanYeh.html
Shu-HengChen2:2000:CEF Toward an integration of social learning and individual learning in agent-based computational stock markets:the approach based on population genetic programming
ChiaHsuanYeh.html
Shu-HengChen.html
http___econpapers.repec.org_paper_scescecf0_338.htm http://econpapers.repec.org/paper/scescecf0/338.htm
http___fmwww.bc.edu_cef00_papers_paper338.pdf http://fmwww.bc.edu/cef00/papers/paper338.pdf
ChiaHsuanYeh:2001:SCE The Influence of Market Size in an Artificial Stock Market: The Approach Based on Genetic Programming
ChiaHsuanYeh.html
http___ideas.repec.org_p_sce_scecf1_74.html http://ideas.repec.org/p/sce/scecf1/74.html
Yeh:2001:AISBj Market Diversity and Market Efficiency: The Approach Based on Genetic Programming
ChiaHsuanYeh.html
Shu-HengChen.html
http___www.aisb.org.uk_publications_aisbj_issues_AISBJ_201_1_.pdf http://www.aisb.org.uk/publications/aisbj/issues/AISBJ%201(1).pdf
yeh:2002:ECEF On AIE-ASM: Software to Simulate Artificial Stock Markets with Genetic Programming
ChiaHsuanYeh.html
Shu-HengChen.html
Chung-ChihLiao.html
http___dx.doi.org_10.1007_978-3-7908-1784-3_6 http://dx.doi.org/10.1007/978-3-7908-1784-3_6
Chia-HsuanYeh:2003:CINC The Influence of GP's Representations in Financial Data Mining
ChiaHsuanYeh.html
Yeh2008613 The effects of intelligence on price discovery and market efficiency
ChiaHsuanYeh.html
http___dx.doi.org_10.1016_j.jebo.2008.07.002 http://dx.doi.org/10.1016/j.jebo.2008.07.002
Yeh20102089 Examining the effectiveness of price limits in an artificial stock market
ChiaHsuanYeh.html
Chun-YiYang.html
http___dx.doi.org_10.1016_j.jedc.2010.05.015 http://dx.doi.org/10.1016/j.jedc.2010.05.015
http___www.sciencedirect.com_science_article_B6V85-505NRX4-2_2_a4b2c4a32330a95dbb94f4074b20ca15 http://www.sciencedirect.com/science/article/B6V85-505NRX4-2/2/a4b2c4a32330a95dbb94f4074b20ca15
Yeh:2012:CECa Can learning affect the effectiveness of price limits?
ChiaHsuanYeh.html
Chun-YiYang.html
http___dx.doi.org_10.1109_CEC.2012.6256582 http://dx.doi.org/10.1109/CEC.2012.6256582
Yeh:2015:ieeeTEC Social Networks and Asset Price Dynamics
ChiaHsuanYeh.html
Chun-YiYang.html
http___dx.doi.org_10.1109_TEVC.2014.2322121 http://dx.doi.org/10.1109/TEVC.2014.2322121
yeh:1999:DBCNCPGP Diagnosis of Breast Cancer based on Nine Cytological Parameters using Genetic Programming
IweiYeh.html
Yeh:2007:SIGIR Learning to Rank for Information Retrieval Using Genetic Programming
Jen-YuanYeh.html
MickJung-YiLin.html
Hao-RenKe.html
Wei-PangYang.html
http___jenyuan.yeh.googlepages.com_jyyeh-LR4IR07.pdf http://jenyuan.yeh.googlepages.com/jyyeh-LR4IR07.pdf
conf/jcis/YenCH06 Inter-Commodity Spread Trading Using Neural Network and Genetic Programming Techniques
StephaneMeng-FengYen.html
Tsung-NanChou.html
Ying-YueHo.html
http___www.atlantis-press.com_publications_aisr_jcis-06_conf_jcis_YenCH06.pdf http://www.atlantis-press.com/publications/aisr/jcis-06/conf_jcis_YenCH06.pdf
http___dx.doi.org_10.2991_jcis.2006.165 http://dx.doi.org/10.2991/jcis.2006.165
YunSeogYeun:1999:AIE Function approximations by coupling neural networks and genetic programming trees with oblique decision trees
YunSeogYeun.html
KyungHoLee.html
Young-SoonYang.html
http___members.kr.inter.net_yyshuj_paper_aie.zip http://members.kr.inter.net/yyshuj/paper/aie.zip
http___dx.doi.org_10.1016_S0954-1810_98_00015-6 http://dx.doi.org/10.1016/S0954-1810(98)00015-6
http___www.sciencedirect.com_science_article_B6V1X-3WWT8F6-3_1_2e564ef70743de81b8e3369fb01b406e http://www.sciencedirect.com/science/article/B6V1X-3WWT8F6-3/1/2e564ef70743de81b8e3369fb01b406e
YunSeogYeun:2001:IS Function approximations by superimposing genetic programming trees:with applications to engineering problems
YunSeogYeun.html
JunChenSuh.html
Young-SoonYang.html
http___members.kr.inter.net_yyshuj_paper_gagpt.zip http://members.kr.inter.net/yyshuj/paper/gagpt.zip
http___www.elsevier.com_gej-ng_10_23_143_56_27_34_article.pdf http://www.elsevier.com/gej-ng/10/23/143/56/27/34/article.pdf
http___dx.doi.org_10.1016_S0020-0255_99_00121-8 http://dx.doi.org/10.1016/S0020-0255(99)00121-8
Yun01 Smooth Fitting with a Method for Determining the Regularization Parameter under the Genetic Programming Algorithm
YunSeogYeun.html
KyungHoLee.html
SangMinHan.html
Young-SoonYang.html
http___dx.doi.org_10.1016_S0020-0255_01_00084-6 http://dx.doi.org/10.1016/S0020-0255(01)00084-6
yeun_2004_tec Implementing Linear Models in Genetic Programming
YunSeogYeun.html
Won-SunRuy.html
Young-SoonYang.html
Nam-JoonKim.html
http___members.kr.inter.net_yyshuj_paper_pre-lm-gp.pdf http://members.kr.inter.net/yyshuj/paper/pre-lm-gp.pdf
http___dx.doi.org_10.1109_TEVC.2004.836818 http://dx.doi.org/10.1109/TEVC.2004.836818
yeun_2005_SMO Polynomial genetic programming for response surface modeling Part 1: a methodology
YunSeogYeun.html
Young-SoonYang.html
Won-SunRuy.html
BJKim.html
http___dx.doi.org_10.1007_s00158-004-0460-6 http://dx.doi.org/10.1007/s00158-004-0460-6
yeun_2005_SMO2 Polynomial genetic programming for response surface modeling Part 2: adaptive approximate models with probabilistic optimization problems
YunSeogYeun.html
BJKim.html
Young-SoonYang.html
Won-SunRuy.html
http___dx.doi.org_10.1007_s00158-004-0461-5 http://dx.doi.org/10.1007/s00158-004-0461-5
Yi20113658 A New Genetic Programming Algorithm for Building Decision Tree
LiYi.html
KangWanli.html
http___www.sciencedirect.com_science_article_pii_S1877705811021862 http://www.sciencedirect.com/science/article/pii/S1877705811021862
http___dx.doi.org_10.1016_j.proeng.2011.08.685 http://dx.doi.org/10.1016/j.proeng.2011.08.685
YIFAN:2021:PR A novel error-correcting output codes based on genetic programming and ternary digit operators
LiangYi-Fan.html
LiuChang.html
WangHan-Rui.html
LiuKun-Hong.html
YaoJun-Feng.html
SheYing-Ying.html
DaiGui-Ming.html
YunaOkina.html
http___dx.doi.org_10.1016_j.patcog.2020.107642 http://dx.doi.org/10.1016/j.patcog.2020.107642
https___www.sciencedirect.com_science_article_pii_S0031320320304453 https://www.sciencedirect.com/science/article/pii/S0031320320304453
Yilmaz:2019:evoapplications Early Detection of Botnet Activities Using Grammatical Evolution
SelimYilmaz.html
SevilSen.html
http___dx.doi.org_10.1007_978-3-030-16692-2_26 http://dx.doi.org/10.1007/978-3-030-16692-2_26
Yim:2012:ICCAS Evolving internal memory strategies for the woods problems
HyunguYim.html
DaeEunKim.html
http___ieeexplore.ieee.org_xpl_articleDetails.jsp_tp__arnumber_6393463 http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6393463
Yimyam:2012:ROBIO Agricultural produce grading by computer vision using Genetic Programming
PanitnatYimyam.html
AdrianFClark.html
http___dx.doi.org_10.1109_ROBIO.2012.6491009 http://dx.doi.org/10.1109/ROBIO.2012.6491009
Yimyam:2013:ICECCO Adding new features and classes to classifiers evolved using genetic programming
PanitnatYimyam.html
AdrianFClark.html
http___dx.doi.org_10.1109_ICECCO.2013.6718269 http://dx.doi.org/10.1109/ICECCO.2013.6718269
201412Panitnat_Yimyam Agricultural Produce Grading by Computer Vision Based on Genetic Programming
PanitnatYimyam.html
https___www.essex.ac.uk_csee_news_and_seminars_newsEvent.aspx_e_id_7344 https://www.essex.ac.uk/csee/news_and_seminars/newsEvent.aspx?e_id=7344
http___www.bmva.org_theses_2014 http://www.bmva.org/theses:2014
http___www.bmva.org_theses_201412panitnat_yimyam http://www.bmva.org/theses:201412panitnat_yimyam
http___www.bmva.org_thesis-archive_2014_2014-yimyam.pdf http://www.bmva.org/thesis-archive/2014/2014-yimyam.pdf
Yimyam:2016:KST 3D reconstruction and feature extraction for agricultural produce grading
PanitnatYimyam.html
AdrianFClark.html
http___dx.doi.org_10.1109_KST.2016.7440482 http://dx.doi.org/10.1109/KST.2016.7440482
Yin:2020:ICFD Genetic programming control of a laminar premixed combustor
BoYin.html
YuGuan.html
StephanePierreAndreRedonnet.html
VikrantGupta.html
LarryKBLi.html
http___repository.ust.hk_ir_Record_1783.1-107431 http://repository.ust.hk/ir/Record/1783.1-107431
http___hdl.handle.net_1783.1_107431 http://hdl.handle.net/1783.1/107431
Yin:2020:APS Suppression of self-excited thermoacoustic oscillations using genetic programming
BoYin.html
YuGuan.html
StephanePierreAndreRedonnet.html
VikrantGupta.html
LarryKBLi.html
https___meetings.aps.org_Meeting_DFD20_Session_E04.1 https://meetings.aps.org/Meeting/DFD20/Session/E04.1
http___absimage.aps.org_image_DFD20_MWS_DFD20-2020-000312.pdf http://absimage.aps.org/image/DFD20/MWS_DFD20-2020-000312.pdf
http___hdl.handle.net_1783.1_107430 http://hdl.handle.net/1783.1/107430
http___repository.ust.hk_ir_Record_1783.1-107430 http://repository.ust.hk/ir/Record/1783.1-107430
conf/icnc/YinTHH05 Applying Genetic Programming to Evolve Learned Rules for Network Anomaly Detection
ChuanyuanYin.html
ShengfengTian.html
HoukuanHuang.html
JunHe.html
http___dx.doi.org_10.1007_11539902_38 http://dx.doi.org/10.1007/11539902_38
yin:2019:Entropy A Novel Residual Dense Pyramid Network for Image Dehazing
ShibaiYin.html
YibinWang.html
HerbertYang.html
https___www.mdpi.com_1099-4300_21_11_1123 https://www.mdpi.com/1099-4300/21/11/1123
http___dx.doi.org_10.3390_e21111123 http://dx.doi.org/10.3390/e21111123
yin:2003:lsshstmbwgp Learning single-machine scheduling heuristics subject to machine breakdowns with genetic programming
Wen-JunYin.html
MinLiu.html
ChengWu.html
http___dx.doi.org_10.1109_CEC.2003.1299784 http://dx.doi.org/10.1109/CEC.2003.1299784
YIN:2020:CIE An integrated computational intelligence technique based operating parameters optimization scheme for quality improvement oriented process-manufacturing system
XianhuiYin.html
ZhanwenNiu.html
ZhenHe.html
Zhaojun_Steven_Li.html
DongheeLee.html
http___dx.doi.org_10.1016_j.cie.2020.106284 http://dx.doi.org/10.1016/j.cie.2020.106284
http___www.sciencedirect.com_science_article_pii_S0360835220300188 http://www.sciencedirect.com/science/article/pii/S0360835220300188
1274029 Adaptive genetic programming for option pricing
ZhengYin.html
AnthonyBrabazon.html
ConallO'Sullivan.html
http___gpbib.cs.ucl.ac.uk_gecco2007_docs_p2588.pdf http://gpbib.cs.ucl.ac.uk/gecco2007/docs/p2588.pdf
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.148.760 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.148.760
http___dx.doi.org_10.1145_1274000.1274029 http://dx.doi.org/10.1145/1274000.1274029
Yin:2007:pliks Genetic Programming for Dynamic Environments
ZhengYin.html
AnthonyBrabazon.html
ConallO'Sullivan.html
MichaelO'Neill.html
http___www.proceedings2007.imcsit.org_pliks_18.pdf http://www.proceedings2007.imcsit.org/pliks/18.pdf
yin:2008:WSSEC Genetic Programming Applications in Financial Modelling: A Brief Survey
ZhengYin.html
AnthonyBrabazon.html
ConallO'Sullivan.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_yin_2008_WSSEC.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/yin_2008_WSSEC.pdf
yin:agpafdh:cec2015 A Genetic Programming Approach for Delta Hedging
ZhengYin.html
AnthonyBrabazon.html
ConallO'Sullivan.html
MichaelO'Neill.html
http___dx.doi.org_10.1109_CEC.2015.7257304 http://dx.doi.org/10.1109/CEC.2015.7257304
yin:rvfagpa:cec2015 Realised Volatility Forecasting: A Genetic Programming Approach
ZhengYin.html
AnthonyBrabazon.html
ConallO'Sullivan.html
MichaelO'Neill.html
http___dx.doi.org_10.1109_CEC.2015.7257303 http://dx.doi.org/10.1109/CEC.2015.7257303
yin:2016:jaiscr An Analysis of the Performance of Genetic Programming for Realised Volatility Forecasting
ZhengYin.html
ConallO'Sullivan.html
AnthonyBrabazon.html
https___www.degruyter.com_view_j_jaiscr.2016.6.issue-3_jaiscr-2016-0012_jaiscr-2016-0012.xml_format_INT https://www.degruyter.com/view/j/jaiscr.2016.6.issue-3/jaiscr-2016-0012/jaiscr-2016-0012.xml?format=INT
http___dx.doi.org_10.1515_jaiscr-2016-0012 http://dx.doi.org/10.1515/jaiscr-2016-0012
Yin:GPEM A genetic programming approach for delta hedging
ZhengYin.html
AnthonyBrabazon.html
ConallO'Sullivan.html
PhilipAHamill.html
http___dx.doi.org_10.1007_s10710-018-9334-3 http://dx.doi.org/10.1007/s10710-018-9334-3
Yingjie:2022:ACPEE Exploration the application of genetic algorithms and gene expression programming in future power system infrastructure
LiuYingjie.html
FanRongquan.html
XiaYuhang.html
HuangZhengwen.html
LiuYijun.html
LiGuoquan.html
GaoYang.html
http___dx.doi.org_10.1109_ACPEE53904.2022.9783616 http://dx.doi.org/10.1109/ACPEE53904.2022.9783616
DBLP:journals/ewc/YongZATTPH21 A new hybrid simulated annealing-based genetic programming technique to predict the ultimate bearing capacity of piles
WeixunYong.html
JianZhou.html
DanialJahedArmaghani.html
MahmoodMDTahir.html
RezaTarinejad.html
BinhThaiPham.html
VanVanHuynh.html
https___doi.org_10.1007_s00366-019-00932-9 https://doi.org/10.1007/s00366-019-00932-9
http___dx.doi.org_10.1007_s00366-019-00932-9 http://dx.doi.org/10.1007/s00366-019-00932-9
https___dblp.org_rec_journals_ewc_YongZATTPH21.bib https://dblp.org/rec/journals/ewc/YongZATTPH21.bib
rn-12-03 Evolving Human Competitive Spectra-Based Fault Localisation Techniques
ShinYoo.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.398.5356 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.398.5356
http___www-typo3.cs.ucl.ac.uk_fileadmin_UCL-CS_research_Research_Notes_rn-12-03.pdf http://www-typo3.cs.ucl.ac.uk/fileadmin/UCL-CS/research/Research_Notes/rn-12-03.pdf
Yoo:2012:SSBSE Evolving Human Competitive Spectra-Based Fault Localisation Techniques
ShinYoo.html
http___www.cs.ucl.ac.uk_staff_s.yoo_papers_Yoo2012kx.pdf http://www.cs.ucl.ac.uk/staff/s.yoo/papers/Yoo2012kx.pdf
http___dx.doi.org_10.1007_978-3-642-33119-0_18 http://dx.doi.org/10.1007/978-3-642-33119-0_18
Yoo:2015:SSBSE Amortised Optimisation of Non-functional Properties in Production Environments
ShinYoo.html
http___hdl.handle.net_10203_224142 http://hdl.handle.net/10203/224142
http___dx.doi.org_10.1007_978-3-319-22183-0_3 http://dx.doi.org/10.1007/978-3-319-22183-0_3
Yoo:2017:GI Embedding Genetic Improvement into Programming Languages
ShinYoo.html
http___geneticimprovementofsoftware.com_wp-content_uploads_2017_05_yoo2017_embedding_gi.pdf http://geneticimprovementofsoftware.com/wp-content/uploads/2017/05/yoo2017_embedding_gi.pdf
http___dx.doi.org_10.1145_3067695.3082516 http://dx.doi.org/10.1145/3067695.3082516
Yoo:TOSEM:sbfl Human Competitiveness of Genetic Programming in Spectrum Based Fault Localisation: Theoretical and Empirical Analysis
ShinYoo.html
XiaoYuanXie.html
Fei-Ching_Diana_Kuo.html
TsongYuehChen.html
MarkHarman.html
http___www.human-competitive.org_sites_default_files_yoo-paper.pdf http://www.human-competitive.org/sites/default/files/yoo-paper.pdf
http___www.human-competitive.org_sites_default_files_yoo-text_0.txt http://www.human-competitive.org/sites/default/files/yoo-text_0.txt
http___dx.doi.org_10.1145_3078840 http://dx.doi.org/10.1145/3078840
Yoo:2024:GI Executing One's Way out of the Chinese Room
ShinYoo.html
http___gpbib.cs.ucl.ac.uk_gi2024_an_2024_GI.pdf http://gpbib.cs.ucl.ac.uk/gi2024/an_2024_GI.pdf
Yoshida:2010:ICCAE Evolution of multiple tree structured patterns using soft clustering
KengoYoshida.html
TetsuhiroMiyahara.html
TetsujiKuboyama.html
http___dx.doi.org_10.1109_ICCAE.2010.5451349 http://dx.doi.org/10.1109/ICCAE.2010.5451349
Yoshida:2017:IWCIA Multimodal genetic programming by using tree structure similarity clustering
ShubuYoshida.html
TomohiroHarada.html
RuckThawonmas.html
http___dx.doi.org_10.1109_IWCIA.2017.8203566 http://dx.doi.org/10.1109/IWCIA.2017.8203566
Yoshida:2019:GECCOcomp Multimodal genetic programming using program similarity measurement and its application to wall-following problem
ShubuYoshida.html
TomohiroHarada.html
RuckThawonmas.html
http___dx.doi.org_10.1145_3319619.3322063 http://dx.doi.org/10.1145/3319619.3322063
Yoshida:2019:SMC GAGPL: A Personalized Semantic Orientation Calculator in Dark Side Ternary Stars
TomohiroYoshida.html
YukoIshiwaka.html
GakuYasui.html
http___dx.doi.org_10.1109_SMC.2019.8913999 http://dx.doi.org/10.1109/SMC.2019.8913999
Yoshihara:2000:GECCO A Fast Model-Building Method for Time Series Using Genetic Programming
IkuoYoshihara.html
TAoyama.html
MYasunaga.html
http___gpbib.cs.ucl.ac.uk_gecco2000_GP236.pdf http://gpbib.cs.ucl.ac.uk/gecco2000/GP236.pdf
yoshihara:2000:gmmtsppona GP-Based Modeling Method for Time Series Prediction with Parameter Optimization and Node Alternation
IkuoYoshihara.html
TAoyama.html
MYasunaga.html
http___dx.doi.org_10.1109_CEC.2000.870828 http://dx.doi.org/10.1109/CEC.2000.870828
cec:2000 Proceedings of the 2000 Congress on Evolutionary Computation CEC00
http___ieeexplore.ieee.org_xpl_mostRecentIssue.jsp_punumber_6997 http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=6997
http___dx.doi.org_10.1109_CEC.2000.870711 http://dx.doi.org/10.1109/CEC.2000.870711
YousefiZowj:2015:GECCO A Genetic Programming Approach to Cost-Sensitive Control in Resource Constrained Sensor Systems
AfsoonYousefiZowj.html
JoshCBongard.html
ChristianSkalka.html
http___doi.acm.org_10.1145_2739480.2754751 http://doi.acm.org/10.1145/2739480.2754751
http___dx.doi.org_10.1145_2739480.2754751 http://dx.doi.org/10.1145/2739480.2754751
Youssef:2021:NILES Optimizing combinational logic circuits using Grammatical Evolution
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ConorRyan.html
http___dx.doi.org_10.1109_NILES53778.2021.9600092 http://dx.doi.org/10.1109/NILES53778.2021.9600092
Yska:2018:EuroGP Genetic Programming Hyper-heuristic with Cooperative Coevolution for Dynamic Flexible Job Shop Scheduling
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https___rdcu.be_dn4Ml https://rdcu.be/dn4Ml
http___dx.doi.org_10.1007_978-3-319-77553-1_19 http://dx.doi.org/10.1007/978-3-319-77553-1_19
Yska:2018:GECCOcomp Feature construction in genetic programming hyper-heuristic for dynamic flexible job shop scheduling
DanielYska.html
YiMei.html
MengjieZhang.html
http___dx.doi.org_10.1145_3205651.3205741 http://dx.doi.org/10.1145/3205651.3205741
YU:2021:JNGSE Modeling study of sandstone permeability under true triaxial stress based on backpropagation neural network, genetic programming, and multiple regression analysis
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JiabaoTian.html
ChaoLiu.html
ZhenlongSong.html
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http___dx.doi.org_10.1016_j.jngse.2020.103742 http://dx.doi.org/10.1016/j.jngse.2020.103742
https___www.sciencedirect.com_science_article_pii_S1875510020305965 https://www.sciencedirect.com/science/article/pii/S1875510020305965
YU:2022:asoc Modeling of true triaxial strength of rocks based on optimized genetic programming
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BinXu2.html
YubingLiu.html
HonggangZhao.html
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http___dx.doi.org_10.1016_j.asoc.2022.109601 http://dx.doi.org/10.1016/j.asoc.2022.109601
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DBLP:journals/ijpr/YuZX17 A multi-population co-evolutionary genetic programming approach for optimal mass customisation production
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Yu:2020:GECCOcomp On the Co-Authorship Network in Evolutionary Computation
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https___doi.org_10.1145_3377929.3398157 https://doi.org/10.1145/3377929.3398157
http___dx.doi.org_10.1145_3377929.3398157 http://dx.doi.org/10.1145/3377929.3398157
Yu:2010:ICGEC Design of Fuzzy Logic Controllers Based on Evolvable Hardware Platform
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http___dx.doi.org_10.1109_ICGEC.2010.219 http://dx.doi.org/10.1109/ICGEC.2010.219
YU:2022:Fuel Novel automatic model construction method for the rapid characterization of petroleum properties from near-infrared spectroscopy
HuijingYu.html
XinjieWang.html
FeifeiShen.html
JianLong.html
WenliDu.html
http___dx.doi.org_10.1016_j.fuel.2021.123101 http://dx.doi.org/10.1016/j.fuel.2021.123101
https___www.sciencedirect.com_science_article_pii_S0016236121029616 https://www.sciencedirect.com/science/article/pii/S0016236121029616
Yu:2007:Neoplasia Feature Selection and Molecular Classification of Cancer Using Genetic Programming
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ArpitAAlmal.html
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WilliamPWorzel.html
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http___dx.doi.org_10.1593_neo.07121 http://dx.doi.org/10.1593/neo.07121
Thesis_jyu Bioinformatics Analysis of Omics Data Towards Cancer Diagnosis and Prognosis
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JingxianYu:1999:EAC A New Approach to Estimation of the Electrocrystallization Parameters
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YongyanChen.html
Li-ShanKang.html
HanxiYang.html
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Yu:2007:CILS A new tree structure coding for equivalent circuit and evolutionary estimation of parameters
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http___dx.doi.org_10.1016_j.chemolab.2006.03.007 http://dx.doi.org/10.1016/j.chemolab.2006.03.007
YU:2021:CI Structural features modeling of substituted hydroxyapatite nanopowders as bone fillers via machine learning
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FamingYang.html
AlirezaFallahpour.html
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CHI-2011-YuN Cooks or Cobblers? Crowd Creativity through Combination
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Yu:2007:cec Double-Deck Elevator Group Supervisory Control System Using Genetic Network Programming with Ant Colony Optimization
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Yu:2008:geccocomp Double-deck Elevator System using Genetic Network Programming with Genetic Operators based on Pheromone Information
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Yu:2009:cec Multi-Car Elevator Group Supervisory Control System Using Genetic Network Programming
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Yu:2009:ieeeSMC A study on energy consumption of elevator group supervisory control systems using genetic network programming
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TiantianZhang.html
KotaroHirasawa.html
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http___dx.doi.org_10.1109_ICSMC.2009.5346621 http://dx.doi.org/10.1109/ICSMC.2009.5346621
LuYu:thesis Elevator group supervisory control of double-deck and multi-car elevator systems using genetic network programming
LuYu.html
http___jairo.nii.ac.jp_0069_00020471_en http://jairo.nii.ac.jp/0069/00020471/en
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http___dspace.wul.waseda.ac.jp_dspace_bitstream_2065_36307_1_Gaiyo-5417.pdf http://dspace.wul.waseda.ac.jp/dspace/bitstream/2065/36307/1/Gaiyo-5417.pdf
http___dspace.wul.waseda.ac.jp_dspace_bitstream_2065_36307_2_Shinsa-5417.pdf http://dspace.wul.waseda.ac.jp/dspace/bitstream/2065/36307/2/Shinsa-5417.pdf
http___dspace.wul.waseda.ac.jp_dspace_bitstream_2065_36307_4_Honbun-5417_01.pdf http://dspace.wul.waseda.ac.jp/dspace/bitstream/2065/36307/4/Honbun-5417_01.pdf
yu:2000:OBBGP Original Broom Balancer with Genetic Programming
Chia-Hao_Jack_Yu.html
JessenYu:2000:CSCSD Automatic design of both topology and tuning of a common parameterized controller for two families of plants using genetic programming
JessenYu.html
MartinAKeane.html
JohnKoza.html
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http___citeseer.ist.psu.edu_484660.html http://citeseer.ist.psu.edu/484660.html
Yu:2021:IFS SpecView: Malware Spectrum Visualization Framework With Singular Spectrum Transformation
JianYu.html
YuewangHe.html
QibenYan.html
XianguiKang.html
http___dx.doi.org_10.1109_TIFS.2021.3124725 http://dx.doi.org/10.1109/TIFS.2021.3124725
JiangangYu:2006:PRL Evolutionary feature synthesis for facial expression recognition
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http___dx.doi.org_10.1016_j.patrec.2005.07.026 http://dx.doi.org/10.1016/j.patrec.2005.07.026
yu:1997:polyGP PolyGP: A Polymorphic Genetic Programming System in Haskell
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yu:1997:pegp Performance Enhanced Genetic Programming
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http___dx.doi.org_10.1007_BFb0014803 http://dx.doi.org/10.1007/BFb0014803
yu:1997:FGP Functional Genetic Programming
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yu:1997:ekr Software -- The Next Generation: Evolving Knowledge Reuse
ChristopherDClack.html
TinaYu.html
yu:1998:rlaGP Recursion, Lambda-Abstractions and Genetic Programming
TinaYu.html
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yu:1998:PolyGP PolyGP: A Polymorphic Genetic Programming System in Haskell
TinaYu.html
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yu:1998:rlaGP98 Recursion, Lambda Abstractions and Genetic Programming
TinaYu.html
ChristopherDClack.html
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TinaYu:1998:melpLB Methods to Evolve Legal Phenotypes
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TinaYu:1998:melp Methods to Evolve Legal Phenotypes
TinaYu.html
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yu:1999:SAGP Structure Abstraction and Genetic Programming
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TinaYu:thesis An Analysis of the Impact of Functional Programming Techniques on Genetic Programming
TinaYu.html
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Yu:2000:GECCOlb Polymorphism and Genetic Programming
TinaYu.html
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TinaYu:2001:ACMKDD Modeling Sparse Engine Test Data Using Genetic programming
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TinaYu:2001:GPEM Hierachical Processing for Evolving Recursive and Modular Programs Using Higher Order Functions and Lambda Abstractions
TinaYu.html
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yu:2001:EuroGP_neutrality Neutrality and the Evolvability of Boolean Function Landscape
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yu:2001:EuroGP_poly Polymorphism and Genetic Programming
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yu:2001:msetdugp Modeling Sparse Engine Test Data Using Genetic Programming
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yu:2002:EuroGP Finding Needles in Haystacks is not Hard with Neutrality
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yu2:2002:gecco:lbp The Role of Neutral and Adaptive Mutation in an Evolutionary Search on the OneMax Problem
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TinaYu:2003:GPTP A Hybrid GP-Fuzzy Approach for Reservoir Characterization
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yu:2004:GPTP Discovering Financial Technical Trading Rules Using Genetic Programming with Lambda Abstraction
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RePEc:sce:scecf4:200 Using Genetic Programming with Lambda Abstraction to Find Technical Trading Rules
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yu:2004:nue:prewnue Workshop on Neutral Evolution in Evolutionary Computation
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yu:2004:nue:tyu ``Six Degrees of Separation'' in Boolean Function Networks with Neutrality
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TinaYu:2004: A Genetic Programming approach to Model International Short-term Capital Flow
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yu:2005:GPTP Genetic Programming Theory and Practice III
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yu:2005:intro Genetic Programming: Theory and Practice: An Introduction to Volume III
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yu:2005:recurse A Higher-Order Function Approach to Evolve Recursive Programs
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Yu:2006:GPTP Applying Genetic Programming to Reservoir History Matching Problem
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Yu:2006:AL Through the Interaction of Neutral and Adaptive Mutations, Evolutionary Search Finds a Way
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Yu:2007:ECAL Program Evolvability Under Environmental Variations and Neutrality
TinaYu.html
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TinaYu:2008:book Evolutionary Computation in Practice
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Yu:2008:ECP1 An Introduction to Evolutionary Computation in Practice
TinaYu.html
LawrenceDavis.html
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http___dx.doi.org_10.1007_978-3-540-75771-9_1 http://dx.doi.org/10.1007/978-3-540-75771-9_1
Yu:2008:ECP A Co-Evolutionary Fuzzy System for Reservoir Well Logs Interpretation
TinaYu.html
DavidWilkinson.html
http___www.cs.mun.ca__tinayu_Publications_files_ecp_chap9.pdf http://www.cs.mun.ca/~tinayu/Publications_files/ecp_chap9.pdf
http___dx.doi.org_10.1007_978-3-540-75771-9_9 http://dx.doi.org/10.1007/978-3-540-75771-9_9
Yu6:2008:cec Evolving Finite State Transducers to Interpret Deepwater Reservoir Depositional Environments
TinaYu.html
DaveWilkinson.html
JulianClark.html
MorganSullivan.html
http___www.cs.mun.ca__tinayu_Publications_files_wcci_presentation.pdf http://www.cs.mun.ca/~tinayu/Publications_files/wcci_presentation.pdf
http___www.cs.mun.ca__tinayu_Publications_files_EC0748.pdf http://www.cs.mun.ca/~tinayu/Publications_files/EC0748.pdf
http___dx.doi.org_10.1109_CEC.2008.4631270 http://dx.doi.org/10.1109/CEC.2008.4631270
Yu:2008:JAEA Constructing Reservoir Flow Simulator Proxies Using Genetic Programming for History Matching and Production Forecast Uncertainty Analysis
TinaYu.html
DaveWilkinson.html
AlexandreCastellini.html
http___www.cs.mun.ca__tinayu_Publications_files_JAEA.pdf http://www.cs.mun.ca/~tinayu/Publications_files/JAEA.pdf
http___downloads.hindawi.com_archive_2008_263108.pdf http://downloads.hindawi.com/archive/2008/263108.pdf
http___dx.doi.org_10.1155_2008_263108 http://dx.doi.org/10.1155/2008/263108
Yu3:2009:cec Coevolution of Simulator Proxies and Sampling Strategies for Petroleum Reservoir Modeling
TinaYu.html
DaveWilkinson.html
http___www.cs.mun.ca__tinayu_Publications_files_cec2009ppt.pdf http://www.cs.mun.ca/~tinayu/Publications_files/cec2009ppt.pdf
http___www.cs.mun.ca__tinayu_Publications_files_cec2009.pdf http://www.cs.mun.ca/~tinayu/Publications_files/cec2009.pdf
http___dx.doi.org_10.1109_CEC.2009.4983278 http://dx.doi.org/10.1109/CEC.2009.4983278
Yu:2010:ICMLA Modeling Occupancy Behavior for Energy Efficiency and Occupants Comfort Management in Intelligent Buildings
TinaYu.html
http___www.cs.mun.ca__tinayu_Publications_files_PID1505499.pdf http://www.cs.mun.ca/~tinayu/Publications_files/PID1505499.pdf
http___dx.doi.org_10.1109_ICMLA.2010.111 http://dx.doi.org/10.1109/ICMLA.2010.111
Yu2011716 Computational intelligence for deepwater reservoir depositional environments interpretation
TinaYu.html
DaveWilkinson.html
JulianClark.html
MorganSullivan.html
http___arxiv.org_abs_1301.2638 http://arxiv.org/abs/1301.2638
http___www.cs.mun.ca__tinayu_Publications_files_1301.2638v1.pdf http://www.cs.mun.ca/~tinayu/Publications_files/1301.2638v1.pdf
http___www.sciencedirect.com_science_article_pii_S1875510011000849 http://www.sciencedirect.com/science/article/pii/S1875510011000849
http___dx.doi.org_10.1016_j.jngse.2011.07.014 http://dx.doi.org/10.1016/j.jngse.2011.07.014
Yu:2013:CECa An Adaptive Genetic Programming Approach to QoS-aware Web Services Composition
YangYu.html
HuiMa.html
MengjieZhang.html
http___dx.doi.org_10.1109_CEC.2013.6557771 http://dx.doi.org/10.1109/CEC.2013.6557771
Yu:2014:CECe A Genetic Programming Approach to Distributed QoS-Aware Web Service Composition
YangYu.html
HuiMa.html
MengjieZhang.html
http___dx.doi.org_10.1109_CEC.2014.6900416 http://dx.doi.org/10.1109/CEC.2014.6900416
Yu:2014:SEAL A Hybrid GP-Tabu Approach to QoS-Aware Data Intensive Web Service Composition
YangYu.html
HuiMa.html
MengjieZhang.html
http___dx.doi.org_10.1007_978-3-319-13563-2_10 http://dx.doi.org/10.1007/978-3-319-13563-2_10
Yu:2015:CEC F-MOGP: A Novel Many-Objective Evolutionary Approach to QoS-Aware Data Intensive Web Service Composition
YangYu.html
HuiMa.html
MengjieZhang.html
http___dx.doi.org_10.1109_CEC.2015.7257242 http://dx.doi.org/10.1109/CEC.2015.7257242
conf/acsc/YuMZ16 A genetic programming approach to distributed execution of data-intensive web service compositions
YangYu.html
HuiMa.html
MengjieZhang.html
http___dl.acm.org_citation.cfm_id_2843043 http://dl.acm.org/citation.cfm?id=2843043
http___dx.doi.org_10.1145_2843043.2843046 http://dx.doi.org/10.1145/2843043.2843046
Yu:2010:IPEC Diagnosis of crack of rotor blades with genetic method
YinQuanYu.html
ChaoBi.html
AbdullahAlMamun.html
http___dx.doi.org_10.1109_IPECON.2010.5697159 http://dx.doi.org/10.1109/IPECON.2010.5697159
YU:2020:CBM Modeling and predicting chloride diffusion in recycled aggregate concrete
YongYu.html
LangLin.html
http___dx.doi.org_10.1016_j.conbuildmat.2020.120620 http://dx.doi.org/10.1016/j.conbuildmat.2020.120620
http___www.sciencedirect.com_science_article_pii_S0950061820326258 http://www.sciencedirect.com/science/article/pii/S0950061820326258
yu:2022:Materials Evaluation of Shear Capacity of Steel Fiber Reinforced Concrete Beams without Stirrups Using Artificial Intelligence Models
YongYu.html
Xin-YuZhao.html
Jin-JunXu.html
Shao-ChunWang.html
Tian-YuXie.html
https___www.mdpi.com_1996-1944_15_7_2407 https://www.mdpi.com/1996-1944/15/7/2407
http___dx.doi.org_10.3390_ma15072407 http://dx.doi.org/10.3390/ma15072407
Yu:2019:CEC Achieving Flexible Scheduling of Heterogeneous Workflows in Cloud through a Genetic Programming Based Approach
YongboYu.html
YalianFeng.html
HuiMa.html
AaronChen.html
ChenWang.html
http___dx.doi.org_10.1109_CEC.2019.8789896 http://dx.doi.org/10.1109/CEC.2019.8789896
Yu:2021:CEC Achieving Multi-Objective Scheduling of Heterogeneous Workflows in Cloud through a Genetic Programming Based Approach
YongboYu.html
HuiMa.html
AaronChen.html
http___dx.doi.org_10.1109_CEC45853.2021.9504695 http://dx.doi.org/10.1109/CEC45853.2021.9504695
Yu:2022:CEC A Genetic Programming-Based Hyper-Heuristic Approach for Multi-Objective Dynamic Workflow Scheduling in Cloud Environment
YongboYu.html
TaoShi.html
HuiMa.html
AaronChen.html
http___dx.doi.org_10.1109_CEC55065.2022.9870403 http://dx.doi.org/10.1109/CEC55065.2022.9870403
journals/ijcat/YuZ12 Using Cartesian genetic programming to design wire antenna
ZhangyiYu.html
San-youZeng.html
http___dx.doi.org_10.1504_IJCAT.2012.047163 http://dx.doi.org/10.1504/IJCAT.2012.047163
Yu:2005:IJICA Using Cartesian genetic programming to implement function modelling
ZhangyiYu.html
San-youZeng.html
YanGuo.html
LiguoSong.html
http___www.inderscience.com_link.php_id_44530 http://www.inderscience.com/link.php?id=44530
http___dx.doi.org_10.1504_IJICA.2011.044530 http://dx.doi.org/10.1504/IJICA.2011.044530
Yuan:2006:IJCA Convergency of Genetic Regression in Data Mining based on Gene Expression Programming and Optimized Solution
Chang-anYuan.html
ChangjieTang.html
YWen.html
JieZuo.html
JingPeng.html
JianjunHu.html
http___dx.doi.org_10.2316_Journal.202.2006.4.202-1831 http://dx.doi.org/10.2316/Journal.202.2006.4.202-1831
journals/access/YuanQYGD19 A Novel Function Mining Algorithm Based on Attribute Reduction and Improved Gene Expression Programming
Chang-anYuan.html
XiaoQin.html
LechanYang.html
GuangweiGao.html
SongDeng.html
http___dx.doi.org_10.1109_ACCESS.2019.2911890 http://dx.doi.org/10.1109/ACCESS.2019.2911890
YUAN:2022:bspc Automatic construction of filter tree by genetic programming for ultrasound guidance image segmentation
DalongYuan.html
DongZhang.html
YanYang.html
ShuangYang.html
http___dx.doi.org_10.1016_j.bspc.2022.103641 http://dx.doi.org/10.1016/j.bspc.2022.103641
https___www.sciencedirect.com_science_article_pii_S174680942200163X https://www.sciencedirect.com/science/article/pii/S174680942200163X
Yuan:2008:cec Identification of Linear Time-invariant, Nonlinear and Time Varying Dynamic Systems Using Genetic Programming
Xiao-LeiYuan.html
YanBai.html
LingDong.html
http___dx.doi.org_10.1109_CEC.2008.4630776 http://dx.doi.org/10.1109/CEC.2008.4630776
Yuan:2009:CCDC Stochastic nonlinear system identification using multi-objective multi-population parallel genetic programming
Xiao-LeiYuan.html
YanBai.html
http___dx.doi.org_10.1109_CCDC.2009.5192053 http://dx.doi.org/10.1109/CCDC.2009.5192053
Yuan:2010:CCC Stochastic nonlinear system identification based on HFC-GP
Xiao-LeiYuan.html
YanBai.html
GangPeng.html
Zhi-CunGao.html
PengLi.html
RuiMa.html
http___ieeexplore.ieee.org_xpls_abs_all.jsp_arnumber_5573417 http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5573417
DBLP:journals/mvl/YuanB10 Identifying Stochastic Nonlinear Dynamic Systems Using Multi-objective Hierarchical Fair Competition Parallel Genetic Programming
Xiao-LeiYuan.html
YanBai.html
http___www.oldcitypublishing.com_journals_mvlsc-home_mvlsc-issue-contents_mvlsc-volume-16-number-6-2010_mvlsc-16-6-p-643-660_ http://www.oldcitypublishing.com/journals/mvlsc-home/mvlsc-issue-contents/mvlsc-volume-16-number-6-2010/mvlsc-16-6-p-643-660/
Yuan:2015:PLOS Making Lock-free Data Structures Verifiable with Artificial Transactions
XinhaoYuan.html
DavidWilliams-King.html
JunfengYang.html
SimhaSethumadhavan.html
http___dx.doi.org_10.1145_2818302.2818309 http://dx.doi.org/10.1145/2818302.2818309
http___doi.acm.org_10.1145_2818302.2818309 http://doi.acm.org/10.1145/2818302.2818309
2017arXiv171207804Y ARJA: Automated Repair of Java Programs via Multi-Objective Genetic Programming
YuanYuan.html
WolfgangBanzhaf.html
https___arxiv.org_pdf_1712.07804 https://arxiv.org/pdf/1712.07804
http___adsabs.harvard.edu_abs_2017arXiv171207804Y http://adsabs.harvard.edu/abs/2017arXiv171207804Y
Yuan:ieeeSE ARJA: Automated Repair of Java Programs via Multi-Objective Genetic Programming
YuanYuan.html
WolfgangBanzhaf.html
http___dx.doi.org_10.1109_TSE.2018.2874648 http://dx.doi.org/10.1109/TSE.2018.2874648
Yuan:2019:GPTP An Evolutionary System for better automatic software repair
YuanYuan.html
WolfgangBanzhaf.html
http___dx.doi.org_10.1007_978-3-030-39958-0_19 http://dx.doi.org/10.1007/978-3-030-39958-0_19
Yuan:2019:GECCO A Hybrid Evolutionary System for Automatic Software Repair
YuanYuan.html
WolfgangBanzhaf.html
http___dx.doi.org_10.1145_3321707.3321830 http://dx.doi.org/10.1145/3321707.3321830
Yuan:2020:TBE Toward Better Evolutionary Program Repair: an Integrated Approach
YuanYuan.html
WolfgangBanzhaf.html
https___yyxhdy.github.io_files_TOSEM2019.pdf https://yyxhdy.github.io/files/TOSEM2019.pdf
https___dl.acm.org_doi_abs_10.1145_3360004 https://dl.acm.org/doi/abs/10.1145/3360004
http___dx.doi.org_10.1145_3360004 http://dx.doi.org/10.1145/3360004
https___github.com_yyxhdy_arja_tree_arja-e https://github.com/yyxhdy/arja/tree/arja-e
https___dl.acm.org_loi_tosem https://dl.acm.org/loi/tosem
Yuan:2020:beacon Making Better Use of Repair Templates in Automated Program Repair: A Multi-Objective Approach
YuanYuan.html
WolfgangBanzhaf.html
http___dx.doi.org_10.1007_978-3-030-39831-6_26 http://dx.doi.org/10.1007/978-3-030-39831-6_26
DBLP:journals/ai/YuanB23 Iterative genetic improvement: Scaling stochastic program synthesis
YuanYuan.html
WolfgangBanzhaf.html
https___dblp.org_rec_journals_ai_YuanB23.bib https://dblp.org/rec/journals/ai/YuanB23.bib
http___www.cs.mun.ca__banzhaf_papers_IGI_AIJournal_2023.pdf http://www.cs.mun.ca/~banzhaf/papers/IGI_AIJournal_2023.pdf
https___arxiv.org_abs_2202.13040 https://arxiv.org/abs/2202.13040
http___dx.doi.org_10.1016_J.ARTINT.2023.103962 http://dx.doi.org/10.1016/J.ARTINT.2023.103962
Yudistira:2013:KST Using Strongly Typed Genetic Programming for knowledge discovery of course quality from e-learning's web log
NovantoYudistira.html
SabriansyahRizqikaAkbar.html
AchmadArwan.html
http___dx.doi.org_10.1109_KST.2013.6512779 http://dx.doi.org/10.1109/KST.2013.6512779
Yue:2009:ICCAS-SICE Agent bidding strategy of multiple round English Auction based on genetic network programming
ChuanYue.html
ShingoMabu.html
YanChen.html
YuWang.html
KotaroHirasawa.html
http___ieeexplore.ieee.org_stamp_stamp.jsp_arnumber_05332928 http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=05332928
Yue:2010:cec A bidding strategy of multiple round auctions based on Genetic Network Programming
ChuanYue.html
ShingoMabu.html
DonggengYu.html
YuWang.html
KotaroHirasawa.html
http___dx.doi.org_10.1109_CEC.2010.5586254 http://dx.doi.org/10.1109/CEC.2010.5586254
ChuanYue:thesis Study on Bidding Strategies using Genetic Network Programming
ChuanYue.html
http___hdl.handle.net_2065_40075 http://hdl.handle.net/2065/40075
http___jairo.nii.ac.jp_0069_00023944_en http://jairo.nii.ac.jp/0069/00023944/en
http___dspace.wul.waseda.ac.jp_dspace_bitstream_2065_40075_1_Honbun-6057.pdf http://dspace.wul.waseda.ac.jp/dspace/bitstream/2065/40075/1/Honbun-6057.pdf
http___dspace.wul.waseda.ac.jp_dspace_bitstream_2065_40075_2_Shinsa-6057.pdf http://dspace.wul.waseda.ac.jp/dspace/bitstream/2065/40075/2/Shinsa-6057.pdf
http___dspace.wul.waseda.ac.jp_dspace_bitstream_2065_40075_3_Gaiyo-6057.pdf http://dspace.wul.waseda.ac.jp/dspace/bitstream/2065/40075/3/Gaiyo-6057.pdf
Yue:2010:ISICA GPS Height Fitting Using Gene Expression Programming
XuezhiYue.html
ZhijianWu.html
DazhiJiang.html
KangshunLi.html
http___dx.doi.org_10.1007_978-3-642-16493-4_3 http://dx.doi.org/10.1007/978-3-642-16493-4_3
ChiYuenProject Selective Crossover Using Gene Dominance as an Adaptive Strategy for Genetic Programming
ChiChungYuen.html
http___www.cs.ucl.ac.uk_staff_C.Clack_papers_ChiYuenProject.pdf.gz http://www.cs.ucl.ac.uk/staff/C.Clack/papers/ChiYuenProject.pdf.gz
Yuen:2009:cec Genetic Programming that Ensures Programs are Original
KelvinShiu-yinYuen.html
ShingWaLeung.html
http___dx.doi.org_10.1109_CEC.2009.4983035 http://dx.doi.org/10.1109/CEC.2009.4983035
Yuhaski:2009:INFORMS An Approach to Renovation Task Sequencing with Multi-Criteria Objectives
StevenYuhaskiJr.html
Yun:2018:MPE Experimental Combined Numerical Approach for Evaluation of Battery Capacity Based on the Initial Applied Stress, the Real-Time Stress, Charging Open Circuit Voltage, and Discharging Open Circuit Voltage
LiuYun.html
BiranchiNarayanPanda.html
LiangGao.html
AkhilGarg.html
XuMeijuan.html
DezhiChen.html
Chin-TsanWang.html
https___downloads.hindawi.com_journals_mpe_2018_8165164.pdf https://downloads.hindawi.com/journals/mpe/2018/8165164.pdf
http___dx.doi.org_10.1155_2018_8165164 http://dx.doi.org/10.1155/2018/8165164
YUN:2019:JCP Maximization of extraction of Cadmium and Zinc during recycling of spent battery mix: An application of combined genetic programming and simulated annealing approach
LiuYun.html
WeiLi.html
AkhilGarg.html
SivasriprasannaMaddila.html
LiangGao.html
ZhunFan.html
PBuragohain.html
Chin-TsanWang.html
http___dx.doi.org_10.1016_j.jclepro.2018.11.226 http://dx.doi.org/10.1016/j.jclepro.2018.11.226
http___www.sciencedirect.com_science_article_pii_S0959652618336291 http://www.sciencedirect.com/science/article/pii/S0959652618336291
YUN:2019:JCPa Experimental coupled predictive modelling based recycling of waste printed circuit boards for maximum extraction of copper
LiuYun.html
AnkitGoyal.html
VikasPratapSingh.html
LiangGao.html
XiongbinPeng.html
XiaodongNiu.html
Chin-TsanWang.html
AkhilGarg.html
http___dx.doi.org_10.1016_j.jclepro.2019.01.027 http://dx.doi.org/10.1016/j.jclepro.2019.01.027
http___www.sciencedirect.com_science_article_pii_S0959652619300332 http://www.sciencedirect.com/science/article/pii/S0959652619300332
Yun:1997:fobsGA Finding an Optimal Blackjack Strategy using Genetic Algorithm
YeogirlYun.html
yurovitsky:1995:PTUGP Playing Tetris Using Genetic Programming
MichaelYurovitsky.html
Yusuf:2014:IES Evolving Emotion Recognition Module for Intelligent Agent
RahadianYusuf.html
IvanTTanev.html
KatsunoriShimohara.html
http___dx.doi.org_10.1007_978-3-319-13356-0_18 http://dx.doi.org/10.1007/978-3-319-13356-0_18
http___dx.doi.org_10.1007_978-3-319-13356-0_18 http://dx.doi.org/10.1007/978-3-319-13356-0_18
Yusuf:2015:CEC Application of Genetic Programming and Genetic Algorithm in Evolving Emotion Recognition Module
RahadianYusuf.html
IvanTTanev.html
KatsunoriShimohara.html
http___dx.doi.org_10.1109_CEC.2015.7257058 http://dx.doi.org/10.1109/CEC.2015.7257058
DBLP:journals/alr/YusufSTS16 Evolving an emotion recognition module for an intelligent agent using genetic programming and a genetic algorithm
RahadianYusuf.html
DipakGaireSharma.html
IvanTTanev.html
KatsunoriShimohara.html
https___rdcu.be_cIJ4u https://rdcu.be/cIJ4u
https___doi.org_10.1007_s10015-016-0263-z https://doi.org/10.1007/s10015-016-0263-z
http___dx.doi.org_10.1007_s10015-016-0263-z http://dx.doi.org/10.1007/s10015-016-0263-z
https___dblp.org_rec_journals_alr_YusufSTS16.bib https://dblp.org/rec/journals/alr/YusufSTS16.bib
Yusuf:thesis Evolving user-specific emotion recognition model via incremental genetic programming
RahadianYusuf.html
http___doi.org_10.14988_di.2017.0000016947 http://doi.org/10.14988/di.2017.0000016947
http___dx.doi.org_10.14988_di.2017.0000016947 http://dx.doi.org/10.14988/di.2017.0000016947
https___doshisha.repo.nii.ac.jp__action_repository_uri_item_id_1349_file_id_21_file_no_2 https://doshisha.repo.nii.ac.jp/?action=repository_uri&item_id=1349&file_id=21&file_no=2
http___doshisha.repo.nii.ac.jp_short_zk840.pdf http://doshisha.repo.nii.ac.jp/short/zk840.pdf
Yusuf:2017:ICBAKE Individuality and user-specific approach in adaptive emotion recognition model
RahadianYusuf.html
DipakGaireSharma.html
IvanTTanev.html
KatsunoriShimohara.html
http___dx.doi.org_10.1109_ICBAKE.2017.8090628 http://dx.doi.org/10.1109/ICBAKE.2017.8090628
Yusuf:2018:IOTAIS Recognition of Mistaken Pedal Pressing based on Pedal Pressing Behavior by using Genetic Programming
RahadianYusuf.html
AlbertPodusenko.html
IvanTTanev.html
KatsunoriShimohara.html
http___dx.doi.org_10.1109_IOTAIS.2018.8600885 http://dx.doi.org/10.1109/IOTAIS.2018.8600885
Yzerman:2010:bmcGenomics Comparative genome analysis of a large Dutch Legionella pneumophila strain collection identifies five markers highly correlated with clinical strains
EdYzerman.html
JeroendenBoer.html
MartienCaspers.html
ArpitAAlmal.html
WilliamPWorzel.html
WaltervanderMeer.html
RoyMontijn.html
FrankSchuren.html
http___www.biomedcentral.com_1471-2164_11_433 http://www.biomedcentral.com/1471-2164/11/433
http___dx.doi.org_10.1186_1471-2164-11-433 http://dx.doi.org/10.1186/1471-2164-11-433
Z-Flores:2014:EVOLVE Evaluating the Effects of Local Search in Genetic Programming
EmigdioZ-Flores.html
LeonardoTrujillo.html
OliverSchuetze.html
PierrickLegrand.html
https___hal.inria.fr_hal-01060315 https://hal.inria.fr/hal-01060315
http___dx.doi.org_10.1007_978-3-319-07494-8_15 http://dx.doi.org/10.1007/978-3-319-07494-8_15
Z-Flores:2015:GECCO A Local Search Approach to Genetic Programming for Binary Classification
EmigdioZ-Flores.html
LeonardoTrujillo.html
OliverSchuetze.html
PierrickLegrand.html
http___doi.acm.org_10.1145_2739480.2754797 http://doi.acm.org/10.1145/2739480.2754797
http___dx.doi.org_10.1145_2739480.2754797 http://dx.doi.org/10.1145/2739480.2754797
Z-Flores:thesis Human mental states classification using EEG by means of Genetic Programming
EmigdioZ-Flores.html
https___hal.inria.fr_tel-01668672 https://hal.inria.fr/tel-01668672
https___hal.inria.fr_tel-01668672_document https://hal.inria.fr/tel-01668672/document
https___hal.inria.fr_tel-01668672_file_PhD_Thesis_Emigdio.pdf https://hal.inria.fr/tel-01668672/file/PhD_Thesis_Emigdio.pdf
Z-FLORES:2017:JCP Modeling the adsorption of phenols and nitrophenols by activated carbon using genetic programming
EmigdioZ-Flores.html
MohamedAbatal.html
AliBassam.html
LeonardoTrujillo.html
PerlaSarahiJuarez-Smith.html
YounessElHamzaoui.html
http___www.sciencedirect.com_science_article_pii_S0959652617311393 http://www.sciencedirect.com/science/article/pii/S0959652617311393
http___dx.doi.org_10.1016_j.jclepro.2017.05.192 http://dx.doi.org/10.1016/j.jclepro.2017.05.192
z-flores:2020:Algorithms EEG Feature Extraction Using Genetic Programming for the Classification of Mental States
EmigdioZ-Flores.html
LeonardoTrujillo.html
PierrickLegrand.html
FrederiqueFaita-Ainseba.html
https___www.mdpi.com_1999-4893_13_9_221 https://www.mdpi.com/1999-4893/13/9/221
http___dx.doi.org_10.3390_a13090221 http://dx.doi.org/10.3390/a13090221
conf/intenv/Zablotskaya09 Genetic Programming Application for User Capabilities Determination
KseniyaZablotskaya.html
http___www.booksonline.iospress.com_Content_View.aspx_piid_13897 http://www.booksonline.iospress.com/Content/View.aspx?piid=13897
http___dx.doi.org_10.3233_978-1-60750-056-8-201 http://dx.doi.org/10.3233/978-1-60750-056-8-201
Zadshakoyan:2013:EAAI Genetic equation for the prediction of tool-chip contact length in orthogonal cutting
MohammadZadshakoyan.html
VahidPourmostaghimi.html
http___dx.doi.org_10.1016_j.engappai.2012.10.016 http://dx.doi.org/10.1016/j.engappai.2012.10.016
http___www.sciencedirect.com_science_article_pii_S0952197612002850 http://www.sciencedirect.com/science/article/pii/S0952197612002850
journals/ijamc-igi/ZadshakoyanP15 Cutting Tool Crater Wear Measurement in Turning Using Chip Geometry and Genetic Programming
MohammadZadshakoyan.html
VahidPourmostaghimi.html
http___dx.doi.org_10.4018_ijamc.2015010104 http://dx.doi.org/10.4018/ijamc.2015010104
Zadshakoyan:2018:aamc Metaheuristics in Manufacturing: Predictive Modeling of Tool Wear in Machining Using Genetic Programming
MohammadZadshakoyan.html
VahidPourmostaghimi.html
https___www.igi-global.com_chapter_metaheuristics-in-manufacturing_192002 https://www.igi-global.com/chapter/metaheuristics-in-manufacturing/192002
http___dx.doi.org_10.4018_978-1-5225-4151-6.ch005 http://dx.doi.org/10.4018/978-1-5225-4151-6.ch005
Zaefferer:2018:PPSN Linear Combination of Distance Measures for Surrogate Models in Genetic Programming
MartinZaefferer.html
JoergStork.html
OliverFlasch.html
ThomasBartz-Beielstein.html
https___www.springer.com_gp_book_9783319992587 https://www.springer.com/gp/book/9783319992587
http___dx.doi.org_10.1007_978-3-319-99259-4_18 http://dx.doi.org/10.1007/978-3-319-99259-4_18
DissertationZaef18 Surrogate models for discrete optimization problems
MartinZaefferer.html
http___hdl.handle.net_2003_37870 http://hdl.handle.net/2003/37870
http___dx.doi.org_10.17877_DE290R-19857 http://dx.doi.org/10.17877/DE290R-19857
https___eldorado.tu-dortmund.de_bitstream_2003_37870_1_DissertationZaef18.pdf https://eldorado.tu-dortmund.de/bitstream/2003/37870/1/DissertationZaef18.pdf
ZaeifiYamchi:2009:IJCCE Application of Genetic Programming to Modeling and Prediction of Activity Coefficient Ratio of Electrolytes in Aqueous Electrolyte Solution Containing Amino Acids
MahdiZaeifiYamchi.html
MajidAbdouss.html
HamidModarress.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.1041.2039 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.1041.2039
http___www.ijcce.ac.ir_article_6849.html http://www.ijcce.ac.ir/article_6849.html
http___www.ijcce.ac.ir_article_6849_79903cd40d063b764a859e2ef8b9d68f.pdf http://www.ijcce.ac.ir/article_6849_79903cd40d063b764a859e2ef8b9d68f.pdf
journals/aai/ZafariKRM14 Evolving Recurrent Neural Network using Cartesian Genetic Programming to Predict The Trend in Foreign Currency Exchange Rates
FaheemZafari.html
GulMuhammadKhan.html
MehreenRehman.html
SahibzadaAliMahmud.html
https___www.tandfonline.com_doi_pdf_10.1080_08839514.2014.923174 https://www.tandfonline.com/doi/pdf/10.1080/08839514.2014.923174
conf/iwann/ZafraVHR07 Multiple Instance Learning with Genetic Programming for Web Mining
AmeliaZafraGomez.html
SebastianVentura.html
EnriqueHerreraViedma.html
CristobalRomeroMorales.html
http___dx.doi.org_10.1007_978-3-540-73007-1_111 http://dx.doi.org/10.1007/978-3-540-73007-1_111
DBLP:conf/ecml/ZafraV07 Multi-objective Genetic Programming for Multiple Instance Learning
AmeliaZafraGomez.html
SebastianVentura.html
http___dx.doi.org_10.1007_978-3-540-74958-5_81 http://dx.doi.org/10.1007/978-3-540-74958-5_81
Zafra:2008:HIS Multiple Instance Learning with MultiObjective Genetic Programming for Web Mining
AmeliaZafraGomez.html
EvaLGibaja.html
SebastianVentura.html
http___dx.doi.org_10.1109_HIS.2008.120 http://dx.doi.org/10.1109/HIS.2008.120
Zafra:2008:IPMU Modelling User Preferences with Multi-Instance Genetic Programming
AmeliaZafraGomez.html
SebastianVentura.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.473.4886 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.473.4886
http___www.gimac.uma.es_ipmu08_proceedings_papers_148-zafraventura.pdf http://www.gimac.uma.es/ipmu08/proceedings/papers/148-zafraventura.pdf
http___www.gimac.uma.es_ipmu08_proceedings_html_148.html http://www.gimac.uma.es/ipmu08/proceedings/html/148.html
Zafra:2009:ISDA Predicting Academic Achievement Using Multiple Instance Genetic Programming
AmeliaZafraGomez.html
CristobalRomeroMorales.html
SebastianVentura.html
http___dx.doi.org_10.1109_ISDA.2009.108 http://dx.doi.org/10.1109/ISDA.2009.108
Zafra200911470 Multi-instance genetic programming for web index recommendation
AmeliaZafraGomez.html
CristobalRomeroMorales.html
SebastianVentura.html
EnriqueHerreraViedma.html
http___dx.doi.org_10.1016_j.eswa.2009.03.059 http://dx.doi.org/10.1016/j.eswa.2009.03.059
http___www.sciencedirect.com_science_article_B6V03-4VXMPMD-1_2_736fb9dc8cc96734079b1b02b58a33a8 http://www.sciencedirect.com/science/article/B6V03-4VXMPMD-1/2/736fb9dc8cc96734079b1b02b58a33a8
conf/hais/ZafraV09 A Comparison of Multi-objective Grammar-Guided Genetic Programming Methods to Multiple Instance Learning
AmeliaZafraGomez.html
SebastianVentura.html
http___dx.doi.org_10.1007_978-3-642-02319-4_54 http://dx.doi.org/10.1007/978-3-642-02319-4_54
conf/edm/ZafraV09 Predicting Student Grades in Learning Management Systems with Multiple Instance Learning Genetic Programming
AmeliaZafraGomez.html
SebastianVentura.html
http___www.educationaldatamining.org_EDM2009_uploads_proceedings_zafra.pdf http://www.educationaldatamining.org/EDM2009/uploads/proceedings/zafra.pdf
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.209.93 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.209.93
reference/dataware/Zafra09 Multi-Instance Learning with MultiObjective Genetic Programming
AmeliaZafraGomez.html
http___www.igi-global.com_bookstore_titledetails.aspx_titleid_346_detailstype_chapters http://www.igi-global.com/bookstore/titledetails.aspx?titleid=346&detailstype=chapters
http___dx.doi.org_10.4018_978-1-60566-010-3.ch212 http://dx.doi.org/10.4018/978-1-60566-010-3.ch212
http___dx.doi.org_10.4018_978-1-60566-010-3 http://dx.doi.org/10.4018/978-1-60566-010-3
Zafra:thesis Guided Genetic Programming Models for Multiple Instance Learning
AmeliaZafraGomez.html
https___www.uco.es_kdis_research_theses_thesis-azafra_ https://www.uco.es/kdis/research/theses/thesis-azafra/
http___www.uco.es_grupos_kdis_docs_thesis_2009-AZafra.pdf http://www.uco.es/grupos/kdis/docs/thesis/2009-AZafra.pdf
Zafra2009 Multiple Instance Learning with Multiple Objective Genetic Programming for Web Mining
AmeliaZafraGomez.html
EvaLGibaja.html
SebastianVentura.html
http___dx.doi.org_10.1016_j.asoc.2009.10.021 http://dx.doi.org/10.1016/j.asoc.2009.10.021
http___www.sciencedirect.com_science_article_B6W86-4XHVGXC-6_2_45abf35a3df29930ebcbd77a76c8998b http://www.sciencedirect.com/science/article/B6W86-4XHVGXC-6/2/45abf35a3df29930ebcbd77a76c8998b
Zafra:2010:gecco Grammar guided genetic programming for multiple instance learning: an experimental study
AmeliaZafraGomez.html
SebastianVentura.html
http___dx.doi.org_10.1145_1830483.1830647 http://dx.doi.org/10.1145/1830483.1830647
Zafra20104496 G3P-MI: A genetic programming algorithm for multiple instance learning
AmeliaZafraGomez.html
SebastianVentura.html
http___dx.doi.org_10.1016_j.ins.2010.07.031 http://dx.doi.org/10.1016/j.ins.2010.07.031
http___www.sciencedirect.com_science_article_B6V0C-50S2RDP-1_2_4591b7540f8c35538e14824742bb8343 http://www.sciencedirect.com/science/article/B6V0C-50S2RDP-1/2/4591b7540f8c35538e14824742bb8343
ZRV2010 Multi-Instance Learning versus Single-Instance Learning for Predicting the Student's Performance
AmeliaZafraGomez.html
CristobalRomeroMorales.html
SebastianVentura.html
http___www.crcnetbase.com_doi_abs_10.1201_b10274-16 http://www.crcnetbase.com/doi/abs/10.1201/b10274-16
http___dx.doi.org_10.1201_b10274-16 http://dx.doi.org/10.1201/b10274-16
journals/soco/ZafraV12 Multi-objective approach based on grammar-guided genetic programming for solving multiple instance problems
AmeliaZafraGomez.html
SebastianVentura.html
http___dx.doi.org_10.1007_s00500-011-0794-0 http://dx.doi.org/10.1007/s00500-011-0794-0
Zafra20122693 Multi-instance genetic programming for predicting student performance in web based educational environments
AmeliaZafraGomez.html
SebastianVentura.html
http___dx.doi.org_10.1016_j.asoc.2012.03.054 http://dx.doi.org/10.1016/j.asoc.2012.03.054
http___www.sciencedirect.com_science_article_pii_S1568494612001652 http://www.sciencedirect.com/science/article/pii/S1568494612001652
Zafra:2022:GPEM Ying Bi, Bing Xue, Mengjie Zhang: Genetic programming for image classification--an automated approach to feature learning
AmeliaZafraGomez.html
https___rdcu.be_cQprq https://rdcu.be/cQprq
http___dx.doi.org_10.1007_s10710-022-09438-8 http://dx.doi.org/10.1007/s10710-022-09438-8
Zaherpour:thesis Improving global and catchment estimates of runoff through computationally-intelligent ensemble approaches Applications of intelligent multi-model combination, cross-scale model comparisons, ensemble analyses, and new model parameterisations
JamalZaherpour.html
http___eprints.nottingham.ac.uk_55340_ http://eprints.nottingham.ac.uk/55340/
https___ethos.bl.uk_OrderDetails.do_uin_uk.bl.ethos.785833 https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.785833
journals/nca/ZahiriA14 Comparison between linear genetic programming and M5 tree models to predict flow discharge in compound channels
AbdulrezaZahiri.html
HaziMohammadAzamathulla.html
http___dx.doi.org_10.1007_s00521-012-1247-0 http://dx.doi.org/10.1007/s00521-012-1247-0
http___dx.doi.org_10.1007_s00521-012-1247-0 http://dx.doi.org/10.1007/s00521-012-1247-0
Zahiri:2015:hbgpa Application of Gene-Expression Programming in Hydraulic Engineering
AbdulrezaZahiri.html
AADehghani.html
HaziMohammadAzamathulla.html
http___dx.doi.org_10.1007_978-3-319-20883-1_4 http://dx.doi.org/10.1007/978-3-319-20883-1_4
Zainal:2008:AICMS Data Reduction and Ensemble Classifiers in Intrusion Detection
AnazidaZainal.html
MohdAizainiMaarof.html
SitiMariyamShamsuddin.html
http___dx.doi.org_10.1109_AMS.2008.146 http://dx.doi.org/10.1109/AMS.2008.146
Zainal:2008:ISIAS Ensemble of One-Class Classifiers for Network Intrusion Detection System
AnazidaZainal.html
MohdAizainiMaarof.html
SitiMariyamShamsuddin.html
AjithAbraham.html
http___dx.doi.org_10.1109_IAS.2008.35 http://dx.doi.org/10.1109/IAS.2008.35
Zainal:2009:JIAS Ensemble Classifiers for Network Intrusion Detection System
AnazidaZainal.html
MohdAizainiMaarof.html
SitiMariyamShamsuddin.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.1044.3840 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.1044.3840
https___static.aminer.org_pdf_PDF_000_346_803_intrusion_detection_in_computer_networks_by_multiple_classifier_systems.pdf https://static.aminer.org/pdf/PDF/000/346/803/intrusion_detection_in_computer_networks_by_multiple_classifier_systems.pdf
http___www.mirlabs.org_jias_secured_Volume4-Issue3_vol4-issue3.html http://www.mirlabs.org/jias/secured/Volume4-Issue3/vol4-issue3.html
Zaji:2015:FMI Application of artificial neural network and genetic programming models for estimating the longitudinal velocity field in open channel junctions
AmirHosseinZaji.html
HosseinBonakdari.html
http___dx.doi.org_10.1016_j.flowmeasinst.2014.10.011 http://dx.doi.org/10.1016/j.flowmeasinst.2014.10.011
http___www.sciencedirect.com_science_article_pii_S0955598614001307 http://www.sciencedirect.com/science/article/pii/S0955598614001307
Zakaria20105078 Gene expression programming for total bed material load estimation--a case study
NorAzaziZakaria.html
HaziMohammadAzamathulla.html
ChunKiatChang.html
AminuddinAbGhani.html
http___dx.doi.org_10.1016_j.scitotenv.2010.07.048 http://dx.doi.org/10.1016/j.scitotenv.2010.07.048
http___www.sciencedirect.com_science_article_B6V78-50S2D5B-5_2_e5d28d28a79203ddeddf5140cf679798 http://www.sciencedirect.com/science/article/B6V78-50S2D5B-5/2/e5d28d28a79203ddeddf5140cf679798
zakaria:2021:CI Niching-Based Feature Selection with Multi-tree Genetic Programming for Dynamic Flexible Job Shop Scheduling
YahiaZakaria.html
YassinZakaria.html
AhmedBahaaElDin.html
MayadaMansourAliHadhoud.html
http___link.springer.com_chapter_10.1007_978-3-030-70594-7_1 http://link.springer.com/chapter/10.1007/978-3-030-70594-7_1
http___dx.doi.org_10.1007_978-3-030-70594-7_1 http://dx.doi.org/10.1007/978-3-030-70594-7_1
Zaki:2009:IJICOT The use of genetic programming for adaptive text compression
MZaki.html
MSayed.html
http___dx.doi.org_10.1504_IJICOT.2009.024048 http://dx.doi.org/10.1504/IJICOT.2009.024048
http___www.inderscience.com_link.php_id_24048 http://www.inderscience.com/link.php?id=24048
Zakwan:2021:Complexity A Comparative Analysis of Data-Driven Empirical and Artificial Intelligence Models for Estimating Infiltration Rates
MohammadZakwan.html
MajidNiazkar.html
https___downloads.hindawi.com_journals_complexity_2021_9945218.pdf https://downloads.hindawi.com/journals/complexity/2021/9945218.pdf
http___dx.doi.org_10.1155_2021_9945218 http://dx.doi.org/10.1155/2021/9945218
zalzala:1999:MAMJTGPA MTGP: A Multithreaded Java Tool for Genetic Programming Applications
AliMSZalzala.html
DGreen.html
http___deron.csie.ncue.edu.tw_AI_paper_MTGP_20a_20multithreaded_20Java_20tool_20for_20genetic_20programming_20applications.pdf http://deron.csie.ncue.edu.tw/AI/paper/MTGP%20a%20multithreaded%20Java%20tool%20for%20genetic%20programming%20applications.pdf
http___dx.doi.org_10.1109_CEC.1999.782519 http://dx.doi.org/10.1109/CEC.1999.782519
Zamani:2014:IS Evolutionary combination of kernels for nonlinear feature transformation
BehzadZamani.html
AhmadAkbari.html
BabakNasersharif.html
http___www.sciencedirect.com_science_article_pii_S0020025514002539 http://www.sciencedirect.com/science/article/pii/S0020025514002539
http___dx.doi.org_10.1016_j.ins.2014.02.140 http://dx.doi.org/10.1016/j.ins.2014.02.140
conf/lsms/ZamaniC10 An Evaluation of DNA Barcoding Using Genetic Programming-Based Process
MasoodZamani.html
DavidKYChiu.html
http___dx.doi.org_10.1007_978-3-642-15615-1 http://dx.doi.org/10.1007/978-3-642-15615-1
http___dx.doi.org_10.1007_978-3-642-15615-1_36 http://dx.doi.org/10.1007/978-3-642-15615-1_36
Zamani:2015:CIBCB Protein secondary structure prediction using an evolutionary computation method and clustering
MasoodZamani.html
StefanCKremer.html
http___dx.doi.org_10.1109_CIBCB.2015.7300327 http://dx.doi.org/10.1109/CIBCB.2015.7300327
Zamani:2015:BIBM A multi-stage protein secondary structure prediction system using machine learning and information theory
MasoodZamani.html
StefanCKremer.html
http___dx.doi.org_10.1109_BIBM.2015.7359867 http://dx.doi.org/10.1109/BIBM.2015.7359867
Zamani:2016:CIBCB Protein secondary structure prediction through a novel framework of secondary structure transition sites and new encoding schemes
MasoodZamani.html
StefanCKremer.html
http___dx.doi.org_10.1109_CIBCB.2016.7758118 http://dx.doi.org/10.1109/CIBCB.2016.7758118
Zamani_Masood_201705_PhD Protein Secondary Structure Prediction Evaluation and a Novel Transition Site Model with New Encoding Schemes
MasoodZamani.html
https___atrium.lib.uoguelph.ca_xmlui_handle_10214_10441 https://atrium.lib.uoguelph.ca/xmlui/handle/10214/10441
http___hdl.handle.net_10214_10441 http://hdl.handle.net/10214/10441
https___atrium.lib.uoguelph.ca_xmlui_bitstream_handle_10214_10441_Zamani_Masood_201705_PhD.pdf https://atrium.lib.uoguelph.ca/xmlui/bitstream/handle/10214/10441/Zamani_Masood_201705_PhD.pdf
Zameer:2017:ECM Intelligent and robust prediction of short term wind power using genetic programming based ensemble of neural networks
AneelaZameer.html
JunaidArshad.html
AsifullahKhan.html
MuhammadAsifZahoorRaja.html
http___dx.doi.org_10.1016_j.enconman.2016.12.032 http://dx.doi.org/10.1016/j.enconman.2016.12.032
http___www.sciencedirect.com_science_article_pii_S0196890416311189 http://www.sciencedirect.com/science/article/pii/S0196890416311189
Zamir:2016:CMPB Detection of epileptic seizure in EEG signals using linear least squares preprocessing
ZRoshanZamir.html
http___dx.doi.org_10.1016_j.cmpb.2016.05.002 http://dx.doi.org/10.1016/j.cmpb.2016.05.002
http___www.sciencedirect.com_science_article_pii_S016926071530273X http://www.sciencedirect.com/science/article/pii/S016926071530273X
Zangeneh:2009:iwamlcf Analyzing the Credit Default Swap Market Using Cartesian Genetic Programming
LalehZangeneh.html
PeterJBentley.html
http___www.cs.ucl.ac.uk_staff_P.Bentley_ZABEC2.pdf http://www.cs.ucl.ac.uk/staff/P.Bentley/ZABEC2.pdf
Zangeneh:2010:PPSN Analyzing the Credit Default Swap Market Using Cartesian Genetic Programming
LalehZangeneh.html
PeterJBentley.html
http___dx.doi.org_10.1007_978-3-642-15844-5_44 http://dx.doi.org/10.1007/978-3-642-15844-5_44
Zangeneh:thesis Investigating the Challenges of Data, Pricing and Modelling to Enable Agent Based Simulation of the Credit Default Swap Market
LalehZangeneh.html
http___discovery.ucl.ac.uk_id_eprint_1435662 http://discovery.ucl.ac.uk/id/eprint/1435662
http___discovery.ucl.ac.uk_1435662_2_Laleh_20Zangeneh_PHD_Thesis_UCL_20July2014.pdf http://discovery.ucl.ac.uk/1435662/2/Laleh%20Zangeneh_PHD_Thesis_UCL_20July2014.pdf
Zangeneh-Sirdari:thesis Bedload Transport for Small Rivers in Malaysia
ZahraZangenehSirdari.html
http___redac.eng.usm.my_html_postgrad_abstract_zahra.htm http://redac.eng.usm.my/html/postgrad/abstract_zahra.htm
https___www.academia.edu_4147500_Bed_Load_Transport_of_Small_Rivers_in_Malaysia https://www.academia.edu/4147500/Bed_Load_Transport_of_Small_Rivers_in_Malaysia
Zangeneh-Sirdari:2014:IJSR Bedload transport of small rivers in Malaysia
ZahraZangenehSirdari.html
AminuddinAbGhani.html
ZorkefleeAbuHassan.html
http___dx.doi.org_10.1016_S1001-6279_14_60061-5 http://dx.doi.org/10.1016/S1001-6279(14)60061-5
http___www.sciencedirect.com_science_article_pii_S1001627914600615 http://www.sciencedirect.com/science/article/pii/S1001627914600615
zannoni:1997:lcpepca Learning to Control the Program Evolution Process with Cultural Algorithms
ElenaZannoni.html
RobertGReynolds.html
http___www.mitpressjournals.org_doi_pdf_10.1162_evco.1997.5.2.181 http://www.mitpressjournals.org/doi/pdf/10.1162/evco.1997.5.2.181
http___dx.doi.org_10.1162_evco.1997.5.2.181 http://dx.doi.org/10.1162/evco.1997.5.2.181
Zapater:thesis Proactive and reactive thermal aware optimization techniques to minimize the environmental impact of data centers
MarinaZapater.html
http___oa.upm.es_38700_ http://oa.upm.es/38700/
http___oa.upm.es_38700_1_MARINA_ZAPATER_SANCHO.pdf http://oa.upm.es/38700/1/MARINA_ZAPATER_SANCHO.pdf
http___greenlsi.die.upm.es_files_2013_03_2015-04-20-tesisMZapater.pdf http://greenlsi.die.upm.es/files/2013/03/2015-04-20-tesisMZapater.pdf
journals/asc/ZapaterRAAMH16 Runtime data center temperature prediction using Grammatical Evolution techniques
MarinaZapater.html
JoseLRisco-Martin.html
PatriciaArroba.html
JoseLuisAyalaRodrigo.html
JoseManuelMoya.html
RomanHermidaCorrea.html
http___dx.doi.org_10.1016_j.asoc.2016.07.042 http://dx.doi.org/10.1016/j.asoc.2016.07.042
ZW2007DGPFj Offline Emergence Engineering For Agent Societies
MichaelZapf.html
ThomasWeise.html
http___www.it-weise.de_documents_files_ZW2007EUMASTR.pdf http://www.it-weise.de/documents/files/ZW2007EUMASTR.pdf
ZW2007DGPFk Offline Emergence Engineering For Agent Societies
MichaelZapf.html
ThomasWeise.html
https___kobra.bibliothek.uni-kassel.de_handle_urn_nbn_de_hebis_34-2007120719844 https://kobra.bibliothek.uni-kassel.de/handle/urn:nbn:de:hebis:34-2007120719844
http___www.it-weise.de_documents_files_ZW2007EUMASTR.pdf http://www.it-weise.de/documents/files/ZW2007EUMASTR.pdf
Zapf:2008:KIS5 Applicability of Emergence Engineering to Distributed Systems Scenarios
MichaelZapf.html
ThomasWeise.html
http___www.it-weise.de_documents_files_ZW2008AOEETDSS.pdf http://www.it-weise.de/documents/files/ZW2008AOEETDSS.pdf
Zapf:2008:eumas Applicability of Emergence Engineering to Distributed Systems Scenarios
MichaelZapf.html
ThomasWeise.html
http___www.it-weise.de_documents_files_ZW2008AOEETDSS.pdf http://www.it-weise.de/documents/files/ZW2008AOEETDSS.pdf
Zapf:2008:IWSOS Can Solutions Emerge?
MichaelZapf.html
ThomasWeise.html
http___www.it-weise.de_documents_files_ZW2008CSE.pdf http://www.it-weise.de/documents/files/ZW2008CSE.pdf
http___dx.doi.org_10.1007_978-3-540-92157-8 http://dx.doi.org/10.1007/978-3-540-92157-8
Zarei:2021:SciRep Machine-learning algorithms for forecast-informed reservoir operation (FIRO) to reduce flood damages
ManizheZarei.html
OmidBozorgHaddad.html
SaharBaghban.html
MohammadDelpasand.html
ErfanGoharian.html
HugoALoaiciga.html
https___rdcu.be_cFfjg https://rdcu.be/cFfjg
https___www.nature.com_articles_s41598-021-03699-6 https://www.nature.com/articles/s41598-021-03699-6
http___dx.doi.org_10.1038_s41598-021-03699-6 http://dx.doi.org/10.1038/s41598-021-03699-6
ZARENAGHADEHI:2018:Measurement State-of-the-art predictive modeling of TBM performance in changing geological conditions through gene expression programming
MasoudZareNaghadehi.html
MasoudSamaei.html
MasoudRanjbarnia.html
VahidNourani.html
http___dx.doi.org_10.1016_j.measurement.2018.05.049 http://dx.doi.org/10.1016/j.measurement.2018.05.049
http___www.sciencedirect.com_science_article_pii_S0263224118304366 http://www.sciencedirect.com/science/article/pii/S0263224118304366
Zargari:2012:ES A computational intelligence-based approach for short-term traffic flow prediction
ShahriarAfandizadehZargari.html
SalarZabihiSiabil.html
AHAlavi.html
AHGandomi.html
http___onlinelibrary.wiley.com_doi_10.1111_j.1468-0394.2010.00567.x_abstract http://onlinelibrary.wiley.com/doi/10.1111/j.1468-0394.2010.00567.x/abstract
http___dx.doi.org_10.1111_j.1468-0394.2010.00567.x http://dx.doi.org/10.1111/j.1468-0394.2010.00567.x
Zarges:GPEM:diverless Hod Lipson and Melba Kurman: Driverless: intelligent cars and the road ahead
ChristineZarges.html
http___dx.doi.org_10.1007_s10710-017-9313-0 http://dx.doi.org/10.1007/s10710-017-9313-0
Zarnegar09 Inference of Gene Expression Networks Using Memetic Gene Expression Programming
ArmitaZarnegar.html
PeterVamplew.html
AndrewStranieri.html
http___crpit.com_confpapers_CRPITV91Zarnegar.pdf http://crpit.com/confpapers/CRPITV91Zarnegar.pdf
conf/eurocast/ZavoianuKKZA11 Improving the Parsimony of Regression Models for an Enhanced Genetic Programming Process
CiprianZavoianu.html
GabrielKronberger.html
MichaelKommenda.html
DanielaZaharie.html
MichaelAffenzeller.html
http___dx.doi.org_10.1007_978-3-642-27549-4_34 http://dx.doi.org/10.1007/978-3-642-27549-4_34
Zavoianu:2019:EUROCAST On Modeling the Dynamic Thermal Behavior of Electrical Machines Using Genetic Programming and Artificial Neural Networks
CiprianZavoianu.html
MartinKitzberger.html
GerdBramerdorfer.html
SusanneSaminger-Platz.html
http___dx.doi.org_10.1007_978-3-030-45093-9_39 http://dx.doi.org/10.1007/978-3-030-45093-9_39
Zechman:2005:WWERC Investigation and Demonstration of an Evolutionary Computation-Based Model Correction Procedure for a Numerical Simulation Model
EmilyMZechman.html
G_Kumar_Mahinthakumar.html
SRanjiRanjithan.html
http___dx.doi.org_10.1061_40792_173_346 http://dx.doi.org/10.1061/40792(173)346
Zechman:2005:WWREC2 A Genetic Programming-Based Surrogate Model Development and Its Application to a Groundwater Source Identification Problem
EmilyMZechman.html
BahaYMirghani.html
G_Kumar_Mahinthakumar.html
SRanjiRanjithan.html
http___dx.doi.org_10.1061_40792_173_341 http://dx.doi.org/10.1061/40792(173)341
1068286 Multipopulation cooperative coevolutionary programming (MCCP) to enhance design innovation
EmilyMZechman.html
SRanjiRanjithan.html
http___gpbib.cs.ucl.ac.uk_gecco2005_docs_p1641.pdf http://gpbib.cs.ucl.ac.uk/gecco2005/docs/p1641.pdf
http___dx.doi.org_10.1145_1068009.1068286 http://dx.doi.org/10.1145/1068009.1068286
Zechman:thesis Improving Predictability of Simulation Models using Evolutionary Computation-Based Methods for Model Error Correction
EmilyMZechman.html
http___www.lib.ncsu.edu_theses_available_etd-08082005-105133_unrestricted_etd.pdf http://www.lib.ncsu.edu/theses/available/etd-08082005-105133/unrestricted/etd.pdf
http___www.lib.ncsu.edu_theses_available_etd-08082005-105133_ http://www.lib.ncsu.edu/theses/available/etd-08082005-105133/
Zechman:2007:AWR Evolutionary computation-based approach for model error correction and calibration
EmilyMZechman.html
SRanjiRanjithan.html
http___dx.doi.org_10.1016_j.advwatres.2006.11.013 http://dx.doi.org/10.1016/j.advwatres.2006.11.013
Zegklitz:2015:GECCOcomp Symbolic Regression by Grammar-based Multi-Gene Genetic Programming
JanZegklitz.html
PetrPosik.html
http___doi.acm.org_10.1145_2739482.2768484 http://doi.acm.org/10.1145/2739482.2768484
http___dx.doi.org_10.1145_2739482.2768484 http://dx.doi.org/10.1145/2739482.2768484
Zegklitz:2015:GECCOcompa Model Selection and Overfitting in Genetic Programming: Empirical Study
JanZegklitz.html
PetrPosik.html
http___doi.acm.org_10.1145_2739482.2764678 http://doi.acm.org/10.1145/2739482.2764678
http___dx.doi.org_10.1145_2739482.2764678 http://dx.doi.org/10.1145/2739482.2764678
Zegklitz:2017:GECCO Linear Combinations of Features As Leaf Nodes in Symbolic Regression
JanZegklitz.html
PetrPosik.html
http___doi.acm.org_10.1145_3067695.3076009 http://doi.acm.org/10.1145/3067695.3076009
http___dx.doi.org_10.1145_3067695.3076009 http://dx.doi.org/10.1145/3067695.3076009
Zegklitz:GPEM: Benchmarking state-of-the-art symbolic regression
JanZegklitz.html
PetrPosik.html
https___link.springer.com_article_10.1007_s10710-020-09387-0 https://link.springer.com/article/10.1007/s10710-020-09387-0
http___dx.doi.org_10.1007_s10710-020-09387-0 http://dx.doi.org/10.1007/s10710-020-09387-0
ZEGKLITZ:2019:ASC Symbolic regression in dynamic scenarios with gradually changing targets
JanZegklitz.html
PetrPosik.html
http___dx.doi.org_10.1016_j.asoc.2019.105621 http://dx.doi.org/10.1016/j.asoc.2019.105621
http___www.sciencedirect.com_science_article_pii_S1568494619304016 http://www.sciencedirect.com/science/article/pii/S1568494619304016
zeitrag:2022:eswa Surrogate-assisted automatic evolving of dispatching rules for multi-objective dynamic job shop scheduling using genetic programming
YannikZeitrag.html
JoseRuiDeMatosFigueira.html
NunoCavacoGomesHorta.html
RuiNevesMadeira.html
https___www.sciencedirect.com_science_article_pii_S0957417422013550 https://www.sciencedirect.com/science/article/pii/S0957417422013550
http___dx.doi.org_10.1016_j.eswa.2022.118194 http://dx.doi.org/10.1016/j.eswa.2022.118194
Zelinka:2005:IJSSST Analytic programming - Symbolic Regression by means of arbitrary Evolutionary Algorithms
IvanZelinka.html
ZuzanaOplatkova.html
LarsNolle.html
http___ducati.doc.ntu.ac.uk_uksim_journal_Vol-6_No.9_Paper5.pdf http://ducati.doc.ntu.ac.uk/uksim/journal/Vol-6/No.9/Paper5.pdf
Zelinka:2008:DEXA Evolutionary Scanning and Neural Network Optimization
IvanZelinka.html
RomanSenkerik.html
ZuzanaOplatkova.html
http___dx.doi.org_10.1109_DEXA.2008.84 http://dx.doi.org/10.1109/DEXA.2008.84
conf/cisim/ZelinkaSS14 Chaos Powered Grammatical Evolution
IvanZelinka.html
PetrSaloun.html
RomanSenkerik.html
http___dx.doi.org_10.1007_978-3-662-45237-0 http://dx.doi.org/10.1007/978-3-662-45237-0
Zelinka:2016:RCAR On possibilities of evolutionary synthesis of robot control sequences
IvanZelinka.html
http___dx.doi.org_10.1109_RCAR.2016.7784049 http://dx.doi.org/10.1109/RCAR.2016.7784049
Zeng:2023:IVCNZ A New Genetic Programming-Based Approach to Object Detection in Mussel Farm Images
DylonZeng.html
YingBi.html
IvyLiu.html
BingXue.html
RossVennell.html
MengjieZhang.html
http___dx.doi.org_10.1109_IVCNZ61134.2023.10343758 http://dx.doi.org/10.1109/IVCNZ61134.2023.10343758
zeng:2022:GECCOcomp Large Scale Image Classification Using GPU-based Genetic Programming
PengZeng.html
AndrewLensen.html
YananSun.html
http___dx.doi.org_10.1145_3520304.3528892 http://dx.doi.org/10.1145/3520304.3528892
Zeng:2020:CEC Comparison of Different Computing Platforms for Implementing Parallel Genetic Programming
RuihuaZeng.html
ZhixingHuang.html
YongliangChen.html
JinghuiZhong.html
LiangFeng.html
http___dx.doi.org_10.1109_CEC48606.2020.9185510 http://dx.doi.org/10.1109/CEC48606.2020.9185510
conf/wise/ZengTLQZDX06 Mining h-Dimensional Enhanced Semantic Association Rule Based on Immune-Based Gene Expression Programming
TaoZeng.html
ChangjieTang.html
YintianLiu.html
JiangtaoQiu.html
MingfangZhu.html
ShuchengDai.html
YongXiang.html
http___dx.doi.org_10.1007_11906070_5 http://dx.doi.org/10.1007/11906070_5
Zeng:jucs_13_10:a_model_of_immune A Model of Immune Gene Expression Programming for Rule Mining
TaoZeng.html
ChangjieTang.html
YongXiang.html
PengChen.html
YintianLiu.html
http___www.jucs.org_jucs_13_10_a_model_of_immune http://www.jucs.org/jucs_13_10/a_model_of_immune
http___dx.doi.org_10.3217_jucs-013-10-1484 http://dx.doi.org/10.3217/jucs-013-10-1484
conf/icnc/ZengLMBQZ09 Auto-Programming for Numerical Data Based on Remnant-Standard-Deviation-Guided Gene Expression Programming
TaoZeng.html
YintianLiu.html
XirongMa.html
XiaoyuanBao.html
JiangtaoQiu.html
LixinZhan.html
http___dx.doi.org_10.1109_ICNC.2009.617 http://dx.doi.org/10.1109/ICNC.2009.617
6351 Sliding Window Symbolic Regression for Predictive Maintenance using Model Ensembles
JanZenisek.html
MichaelAffenzeller.html
JosefWolfartsberger.html
MathiasSilmbroth.html
ChristophSievi.html
AzizHuskic.html
HerbertJodlbauer.html
https___link.springer.com_chapter_10.1007_978-3-319-74718-7_58 https://link.springer.com/chapter/10.1007/978-3-319-74718-7_58
http___dx.doi.org_10.1007_978-3-319-74718-7_58 http://dx.doi.org/10.1007/978-3-319-74718-7_58
6329 Predictive Maintenance for Transport Systems - Employing Model Ensembles for Online State Detection
JanZenisek.html
MichaelAffenzeller.html
ChristophSievi.html
MathiasSilmbroth.html
JosefWolfartsberger.html
http___iauptriennial2017.com_wp-content_uploads_2017_07_ys-23-session-jan-zenisek.pdf http://iauptriennial2017.com/wp-content/uploads/2017/07/ys-23-session-jan-zenisek.pdf
6223 Smart Maintenance Lifecycle Management: A Design Proposal
JanZenisek.html
LNicoletti.html
FLongo.html
GTraugott.html
APadovano.html
MichaelAffenzeller.html
http___www.msc-les.org_proceedings_emss_2017_EMSS2017_546.pdf http://www.msc-les.org/proceedings/emss/2017/EMSS2017_546.pdf
AGU2013_tanja_zerenner_genetic_programming_poster Atmospheric Downscaling using Genetic Programming
TanjaZerenner.html
VictorVenema.html
ClemensSimmer.html
http___www2.meteo.uni-bonn.de_mitarbeiter_venema_articles_2013_AGU2013_tanja_zerenner_genetic_programming_poster.pdf http://www2.meteo.uni-bonn.de/mitarbeiter/venema/articles/2013/AGU2013_tanja_zerenner_genetic_programming_poster.pdf
journals/corr/ZerennerVFS14 Downscaling near-surface atmospheric fields with multi-objective Genetic Programming
TanjaZerenner.html
VictorVenema.html
PetraFriederichs.html
ClemensSimmer.html
http___arxiv.org_abs_1407.1768 http://arxiv.org/abs/1407.1768
Zerenner:2016:EMS Downscaling near-surface atmospheric fields with multi-objective Genetic Programming
TanjaZerenner.html
VictorVenema.html
PetraFriederichs.html
ClemensSimmer.html
http___www.sciencedirect.com_science_article_pii_S1364815216302122 http://www.sciencedirect.com/science/article/pii/S1364815216302122
http___dx.doi.org_10.1016_j.envsoft.2016.06.009 http://dx.doi.org/10.1016/j.envsoft.2016.06.009
Zerenner:2017:GECCO Downscaling Near-surface Atmospheric Fields with Multi-objective Genetic Programming
TanjaZerenner.html
VictorVenema.html
PetraFriederichs.html
ClemensSimmer.html
http___doi.acm.org_10.1145_3067695.3084375 http://doi.acm.org/10.1145/3067695.3084375
http___dx.doi.org_10.1145_3067695.3084375 http://dx.doi.org/10.1145/3067695.3084375
Zerenner:thesis Atmospheric Downscaling using Multi-Objective Genetic Programming
TanjaZerenner.html
https___hdl.handle.net_20.500.11811_7264 https://hdl.handle.net/20.500.11811/7264
https___bonndoc.ulb.uni-bonn.de_xmlui_handle_20.500.11811_7264 https://bonndoc.ulb.uni-bonn.de/xmlui/handle/20.500.11811/7264
https___bonndoc.ulb.uni-bonn.de_xmlui_bitstream_handle_20.500.11811_7264_4840.pdf https://bonndoc.ulb.uni-bonn.de/xmlui/bitstream/handle/20.500.11811/7264/4840.pdf
Zerenner:2018:GECCOcomp Deterministic and stochastic precipitation downscaling using multi-objective genetic programming
TanjaZerenner.html
VictorVenema.html
PetraFriederichs.html
ClemensSimmer.html
http___dx.doi.org_10.1145_3205651.3208778 http://dx.doi.org/10.1145/3205651.3208778
Zhai:2006:JCUG Genetic Programming Approach for Predicting Surface Subsidence Induced by Mining
ShuhuaZhai.html
QianGao.html
JianguoSong.html
http___www.wanfangdata.com.cn_qikan_periodical.Articles_dqkx-e_dqkx2006_0604_060413.htm http://www.wanfangdata.com.cn/qikan/periodical.Articles/dqkx-e/dqkx2006/0604/060413.htm
http___dx.doi.org_10.1016_S1002-0705_07_60012-0 http://dx.doi.org/10.1016/S1002-0705(07)60012-0
Zhan:2014:GECCOcomp A quantitative analysis of the simplification genetic operator
HaoxiZhan.html
http___doi.acm.org_10.1145_2598394.2605684 http://doi.acm.org/10.1145/2598394.2605684
http___dx.doi.org_10.1145_2598394.2605684 http://dx.doi.org/10.1145/2598394.2605684
Zhan:2021:CCDC A Q-learning-based Automatic Heuristic Design Approach for Seru Scheduling
RongxinZhan.html
ZihuaCui.html
TaoMa.html
DongniLi.html
http___dx.doi.org_10.1109_CCDC52312.2021.9602499 http://dx.doi.org/10.1109/CCDC52312.2021.9602499
Zhan:2009:cec Obtaining System Robustness by Mimicking Natural Mechanisms
SongZhan.html
JulianFMiller.html
AndrewMTyrrell.html
http___dx.doi.org_10.1109_CEC.2009.4983326 http://dx.doi.org/10.1109/CEC.2009.4983326
Zhan2009176 An evolutionary system using development and artificial Genetic Regulatory Networks for electronic circuit design
SongZhan.html
JulianFMiller.html
AndrewMTyrrell.html
http___dx.doi.org_10.1016_j.biosystems.2009.07.008 http://dx.doi.org/10.1016/j.biosystems.2009.07.008
http___www.sciencedirect.com_science_article_B6T2K-4X01PGD-1_2_b462ea01f47faac7d2f3fd6703c060de http://www.sciencedirect.com/science/article/B6T2K-4X01PGD-1/2/b462ea01f47faac7d2f3fd6703c060de
Zhan:2010:cec Modular design from gene regulation in a cellular system
SongZhan.html
JulianFMiller.html
AndrewMTyrrell.html
http___dx.doi.org_10.1109_CEC.2010.5586101 http://dx.doi.org/10.1109/CEC.2010.5586101
Zhang05cTR Intelligent Fusion of Structural and Citation-Based Evidence for Text Classification
BaopingZhang.html
MarcosAndreGoncalves.html
WeiguoFan.html
Yuxin_Jerry_Chen.html
EdwardAFox.html
PavelPereiraCalado.html
MarcoCristo.html
http___eprints.cs.vt.edu_archive_00000693_01_GP5.pdf http://eprints.cs.vt.edu/archive/00000693/01/GP5.pdf
Zhang05c Intelligent fusion of structural and citation-based evidence for text classification
BaopingZhang.html
Yuxin_Jerry_Chen.html
WeiguoFan.html
EdwardAFox.html
MarcosAndreGoncalves.html
MarcoCristo.html
PavelPereiraCalado.html
http___dx.doi.org_10.1145_1076034.1076181 http://dx.doi.org/10.1145/1076034.1076181
Zhang:2005:IGF Intelligent GP fusion from multiple sources for text classification
BaopingZhang.html
Yuxin_Jerry_Chen.html
WeiguoFan.html
EdwardAFox.html
MarcosAndreGoncalves.html
MarcoCristo.html
PavelPereiraCalado.html
http___homepages.dcc.ufmg.br__mgoncalv_DLCourse_f302-zhang.pdf http://homepages.dcc.ufmg.br/~mgoncalv/DLCourse/f302-zhang.pdf
http___dx.doi.org_10.1145_1099554.1099688 http://dx.doi.org/10.1145/1099554.1099688
oai:VTETD:etd-07032006-152103 Intelligent Fusion of Evidence from Multiple Sources for Text Classification
BaopingZhang.html
http___scholar.lib.vt.edu_theses_available_etd-07032006-152103_unrestricted_BaopingDissertationFinal.pdf http://scholar.lib.vt.edu/theses/available/etd-07032006-152103/unrestricted/BaopingDissertationFinal.pdf
http___scholar.lib.vt.edu_theses_available_etd-07032006-152103_ http://scholar.lib.vt.edu/theses/available/etd-07032006-152103/
Zhang:2019:ICSME Automatic Discovery and Cleansing of Numerical Metamorphic Relations
BoZhang.html
HongyuZhang.html
JunjieChen.html
DanHao.html
PabloMoscato.html
http___dx.doi.org_10.1109_ICSME.2019.00035 http://dx.doi.org/10.1109/ICSME.2019.00035
Zhang:2021:ISSREW Mining Numerical Relations for Improving Software Reliability
BoZhang.html
http___dx.doi.org_10.1109_ISSREW53611.2021.00093 http://dx.doi.org/10.1109/ISSREW53611.2021.00093
icga93:zhang Genetic Programming of Minimal Neural Nets Using Occam's Razor
Byoung-TakZhang.html
HeinzMuhlenbein.html
http___www.muehlenbein.org_gpnn93.pdf http://www.muehlenbein.org/gpnn93.pdf
http___www.ais.fraunhofer.de__muehlen_publications_gmd_as_ga-93_04.ps http://www.ais.fraunhofer.de/~muehlen/publications/gmd_as_ga-93_04.ps
zhang:1999:GPIDI Genetic Programming with Incremental Data Inheritance
Byoung-TakZhang.html
Je-GunJoung.html
http___gpbib.cs.ucl.ac.uk_gecco1999_GP-460.pdf http://gpbib.cs.ucl.ac.uk/gecco1999/GP-460.pdf
http___gpbib.cs.ucl.ac.uk_gecco1999_GP-460.ps http://gpbib.cs.ucl.ac.uk/gecco1999/GP-460.ps
zhang:1999:C Combining case-based reasoning with genetic algorithms
ZhimingZhang.html
TWarrenLiao.html
Zhang-Muehlenbein-94-WCCI-EC Synthesis of Sigma-Pi Neural Networks by the Breeder Genetic Programming
Byoung-TakZhang.html
HeinzMuhlenbein.html
http___bi.snu.ac.kr_Publications_Conferences_International_ICEC94.pdf http://bi.snu.ac.kr/Publications/Conferences/International/ICEC94.pdf
http___dx.doi.org_10.1109_ICEC.1994.349933 http://dx.doi.org/10.1109/ICEC.1994.349933
Zhang-Muehlenbein-94-JCS Evolving Optimal Neural Networks Using Genetic Algorithms with Occam's Razor
Byoung-TakZhang.html
HeinzMuhlenbein.html
http___www.complex-systems.com_pdf_07-3-2.pdf http://www.complex-systems.com/pdf/07-3-2.pdf
http___www.complex-systems.com_abstracts_v07_i03_a02.html http://www.complex-systems.com/abstracts/v07_i03_a02.html
http___citeseer.ist.psu.edu_zhang93evolving.html http://citeseer.ist.psu.edu/zhang93evolving.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.309.234 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.309.234
http___www.ais.fraunhofer.de__muehlen_publications_gmd_as_ga-93_05.ps http://www.ais.fraunhofer.de/~muehlen/publications/gmd_as_ga-93_05.ps
Zhang-94-PPSN Effects of Occam's Razor in Evolving Sigma-Pi Neural Networks
Byoung-TakZhang.html
http___www.ais.fraunhofer.de__muehlen_publications_gmd_as_ga-94_07.ps http://www.ais.fraunhofer.de/~muehlen/publications/gmd_as_ga-94_07.ps
http___citeseer.ist.psu.edu_zhang94effect.html http://citeseer.ist.psu.edu/zhang94effect.html
zhang:1995:wppent Water Pollution Prediction with Evolutionary Neural Trees
Byoung-TakZhang.html
PeterOhm.html
HeinzMuhlenbein.html
http___web.media.mit.edu__lieber_Conferences_AI-Env-95-Papers_Zhang.pdf http://web.media.mit.edu/~lieber/Conferences/AI-Env-95-Papers/Zhang.pdf
Zhang-Muehlenbein-95-ECJ Balancing Accuracy and Parsimony in Genetic Programming
Byoung-TakZhang.html
HeinzMuhlenbein.html
http___www.ais.fraunhofer.de__muehlen_publications_gmd_as_ga-94_09.ps http://www.ais.fraunhofer.de/~muehlen/publications/gmd_as_ga-94_09.ps
http___dx.doi.org_10.1162_evco.1995.3.1.17 http://dx.doi.org/10.1162/evco.1995.3.1.17
zhang:1995:bimdl Bayesian Inference, Minimum Description Length Principle, and Learning by Genetic Programming
Byoung-TakZhang.html
HeinzMuhlenbein.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_zhang_1995_bimdl.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/zhang_1995_bimdl.pdf
zhang:1995:MDLbff MDL-Based Fitness Functions for Learning Parsimonious Programs
Byoung-TakZhang.html
HeinzMuhlenbein.html
http___www.aaai.org_Papers_Symposia_Fall_1995_FS-95-01_FS95-01-018.pdf http://www.aaai.org/Papers/Symposia/Fall/1995/FS-95-01/FS95-01-018.pdf
http___www.aaai.org_Library_Symposia_Fall_fs95-01.php http://www.aaai.org/Library/Symposia/Fall/fs95-01.php
zhang:1996:aigp2 Adaptive Fitness Functions for Dynamic Growing/Pruning of Program Trees
Byoung-TakZhang.html
HeinzMuhlenbein.html
http___ieeexplore.ieee.org_xpl_articleDetails.jsp_tp__arnumber_6277536 http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6277536
http___dx.doi.org_10.7551_mitpress_1109.003.0017 http://dx.doi.org/10.7551/mitpress/1109.003.0017
zhang:1996:bsaif Building Software Agents for Information Filtering on the Internet: A Genetic Programming Approach
Byoung-TakZhang.html
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zhang:1998:GPads Genetic Programming with Active Data Selection
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zhang:1999:fogp Bayesian Genetic Programming
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Zhang:2000:ECNN Evolving Neural Trees for Time Series Prediction Using Bayesian Evolutionary Algorithms
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Zhang:2000:ALR Evolving Complex Group Behaviors Using Genetic Programming with Fitness Switching
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Zhang:2002:ICAE A Bayesian Evolutionary Approach to the Design and Learning of Heterogeneous Neural Trees
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Zhang:2005:DNA Molecular Learning of wDNF Formulae
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1068301 Molecular programming: evolving genetic programs in a test tube
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Zhang:2008:ICNC A Hybrid Credit Scoring Model Based on Genetic Programming and Support Vector Machines
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Zhang:2019:CAC The Fault Diagnosis of Rolling Bearing Based on WPD and TPOT
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Zhang:2009:ICNC Discovery of Mineralization Predication Classification Rules by Using Gene Expression Programming Based on PCA
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DBLP:journals/ijait/ZhangK03 GAPS: A Genetic Programming System
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zhang:2018:AJCAI Surrogate-Assisted Genetic Programming for Dynamic Flexible Job Shop Scheduling
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Zhang:2018:AJCAImt Genetic Programming with Multi-tree Representation for Dynamic Flexible Job Shop Scheduling
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Zhang:2019:evocop A New Representation in Genetic Programming for Evolving Dispatching Rules for Dynamic Flexible Job Shop Scheduling
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Zhang:2019:CEC Can Stochastic Dispatching Rules Evolved by Genetic Programming Hyper-heuristics Help in Dynamic Flexible Job Shop Scheduling?
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Zhang:2019:CEC2 Evolving Dispatching Rules for Multi-objective Dynamic Flexible Job Shop Scheduling via Genetic Programming Hyper-heuristics
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Zhang:2019:GECCO A Two-stage Genetic Programming Hyper-heuristic Approach with Feature Selection for Dynamic Flexible Job Shop Scheduling
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Zhang:2020:EuroGP Guided Subtree Selection for Genetic Operators in Genetic Programming for Dynamic Flexible Job Shop Scheduling
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zhang2020genetic Genetic Programming with Adaptive Search Based on the Frequency of Features for Dynamic Flexible Job Shop Scheduling
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Zhang:2020:GECCOcomp A Preliminary Approach to Evolutionary Multitasking for Dynamic Flexible Job Shop Scheduling via Genetic Programming
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Fangfang_Zhang:ieeeTCyber Evolving Scheduling Heuristics via Genetic Programming With Feature Selection in Dynamic Flexible Job-Shop Scheduling
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Fangfang_Zhang:ieeeTCyber2 Collaborative Multifidelity-Based Surrogate Models for Genetic Programming in Dynamic Flexible Job Shop Scheduling
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Fangfang_Zhang:ieeeTEC Correlation Coefficient based Recombinative Guidance for Genetic Programming Hyper-heuristics in Dynamic Flexible Job Shop Scheduling
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Fangfang_Zhang:ieeeTEC2 Surrogate-Assisted Evolutionary Multitask Genetic Programming for Dynamic Flexible Job Shop Scheduling
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Zhang:book Genetic Programming for Production Scheduling: An Evolutionary Learning Approach
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Fangfang_Zhang:ieeeTCyber3 Multitask Genetic Programming-Based Generative Hyperheuristics: A Case Study in Dynamic Scheduling
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Fangfang_Zhang:thesis Genetic Programming Hyper-heuristics for Dynamic Flexible Job Shop Scheduling
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zhang:2021:GPPS Adaptive Multitask Genetic Programming for Dynamic Job Shop Scheduling
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Zhang:2022:CEC Learning Strategies on Scheduling Heuristics of Genetic Programming in Dynamic Flexible Job Shop Scheduling
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http___dx.doi.org_10.1109_CEC55065.2022.9870243 http://dx.doi.org/10.1109/CEC55065.2022.9870243
DBLP:conf/ppsn/ZhangMNZ22 Importance-Aware Genetic Programming for Automated Scheduling Heuristics Learning in Dynamic Flexible Job Shop Scheduling
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Fangfang_Zhang:ieeeTEC3 Task Relatedness Based Multitask Genetic Programming for Dynamic Flexible Job Shop Scheduling
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Fangfang_Zhang:ieeeTEC4 Instance Rotation Based Surrogate in Genetic Programming with Brood Recombination for Dynamic Job Shop Scheduling
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zhang2022multitask Multitask Multiobjective Genetic Programming for Automated Scheduling Heuristic Learning in Dynamic Flexible Job-Shop Scheduling
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YiMei.html
SuNguyen.html
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Zhang:2022:SSCI Phenotype Based Surrogate-Assisted Multi-objective Genetic Programming with Brood Recombination for Dynamic Flexible Job Shop Scheduling
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Zhang:2023:GECCOcomp An Investigation of Terminal Settings on Multitask Multi-Objective Dynamic Flexible Job Shop Scheduling with Genetic Programming
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YiMei.html
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http___dx.doi.org_10.1145_3583133.3590546 http://dx.doi.org/10.1145/3583133.3590546
Zhang:2023:CEC Genetic Programming and Machine Learning for Scheduling
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YiMei.html
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Zhang:ieeeTEVC Survey on Genetic Programming and Machine Learning Techniques for Heuristic Design in Job Shop Scheduling
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YiMei.html
SuNguyen.html
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http___dx.doi.org_10.1109_TEVC.2023.3255246 http://dx.doi.org/10.1109/TEVC.2023.3255246
Fangfang_Zhang:JRSNZ Health prediction for king salmon via evolutionary machine learning with genetic programming
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Zhang:2018:CEC Evolving Constructive Heuristics for Agile Earth Observing Satellite Scheduling Problem with Genetic Programming
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Zhang:2001:RCIM Optimal concurrent design based upon distributed product development life-cycle modeling
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Zhang:2002:CAD Distributed database and knowledge base modeling for concurrent design
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Zhang:2020:MC Ensemble Adaptive Streaming - A New Paradigm to Generate Streaming Algorithms via Specializations
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Zhang:2021:PDS A Unified Framework for Flexible Playback Latency Control in Live Video Streaming
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ZHANG:2023:engstruct Prediction of long-term prestress loss for prestressed concrete cylinder structures using machine learning
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Li-YanXu.html
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Zhang:2020:CIS Interpretable policy derivation for reinforcement learning based on evolutionary feature synthesis
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XinLin.html
http___dx.doi.org_10.1007_s40747-020-00175-y http://dx.doi.org/10.1007/s40747-020-00175-y
conf/ijcnn/ZhangZ21a RL-GEP: Symbolic Regression via Gene Expression Programming and Reinforcement Learning
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Zhang:2022:swarmEC PS-Tree: A piecewise symbolic regression tree
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Zhang:2022:ieeeTEC An Evolutionary Forest for Regression
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HuZhang.html
http___dx.doi.org_10.1109_TEVC.2021.3136667 http://dx.doi.org/10.1109/TEVC.2021.3136667
Zhang:ieeeTEC2 SR-Forest: A Genetic Programming based Heterogeneous Ensemble Learning Method
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AiminZhou.html
QiChen.html
BingXue.html
MengjieZhang.html
http___dx.doi.org_10.1109_TEVC.2023.3243172 http://dx.doi.org/10.1109/TEVC.2023.3243172
Zhang:2023:EuroGP MAP-Elites with Cosine-Similarity for Evolutionary Ensemble Learning
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QiChen.html
AlbertoTonda.html
BingXue.html
WolfgangBanzhaf.html
MengjieZhang.html
https___rdcu.be_c8UP0 https://rdcu.be/c8UP0
http___dx.doi.org_10.1007_978-3-031-29573-7_6 http://dx.doi.org/10.1007/978-3-031-29573-7_6
Zhang:2023:GECCO A Double Lexicase Selection Operator for Bloat Control in Evolutionary Feature Construction for Regression
HengzheZhang.html
QiChen.html
BingXue.html
WolfgangBanzhaf.html
MengjieZhang.html
https___doi.org_10.1145_3583131.3590365 https://doi.org/10.1145/3583131.3590365
http___dx.doi.org_10.1145_3583131.3590365 http://dx.doi.org/10.1145/3583131.3590365
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zhang:2023:GECCOcompA Genetic Programming-Based Evolutionary Feature Construction for Heterogeneous Ensemble Learning [Hot of the Press]
HengzheZhang.html
AiminZhou.html
QiChen.html
BingXue.html
MengjieZhang.html
http___dx.doi.org_10.1145_3583133.3595831 http://dx.doi.org/10.1145/3583133.3595831
Zhang:2023:ieeeCIM MAP-Elites for Genetic Programming-Based Ensemble Learning: An Interactive Approach [AI-eXplained]
HengzheZhang.html
QiChen.html
BingXue.html
WolfgangBanzhaf.html
MengjieZhang.html
http___dx.doi.org_10.1109_MCI.2023.3304085 http://dx.doi.org/10.1109/MCI.2023.3304085
zhang:2023:PRICAI Automatically Choosing Selection Operator Based on Semantic Information in Evolutionary Feature Construction
HengzheZhang.html
QiChen.html
BingXue.html
WolfgangBanzhaf.html
MengjieZhang.html
http___dx.doi.org_10.1007_978-981-99-7022-3_36 http://dx.doi.org/10.1007/978-981-99-7022-3_36
Hengzhe_Zhang:ieeeTEC Modular Multi-Tree Genetic Programming for Evolutionary Feature Construction for Regression
HengzheZhang.html
QiChen.html
BingXue.html
WolfgangBanzhaf.html
MengjieZhang.html
https___homepages.ecs.vuw.ac.nz__mengjie_papers_ https://homepages.ecs.vuw.ac.nz/~mengjie/papers/
http___dx.doi.org_10.1109_TEVC.2023.3318638 http://dx.doi.org/10.1109/TEVC.2023.3318638
Zhang:2024:GPEM A geometric semantic macro-crossover operator for evolutionary feature construction in regression
HengzheZhang.html
QiChen.html
BingXue.html
WolfgangBanzhaf.html
MengjieZhang.html
http___dx.doi.org_10.1007_s10710-023-09465-z http://dx.doi.org/10.1007/s10710-023-09465-z
Hengzhe_Zhang:ieeeTEC2 A Semantic-Based Hoist Mutation Operator for Evolutionary Feature Construction in Regression
HengzheZhang.html
QiChen.html
BingXue.html
WolfgangBanzhaf.html
MengjieZhang.html
http___dx.doi.org_10.1109_TEVC.2023.3331234 http://dx.doi.org/10.1109/TEVC.2023.3331234
Zhang:2024:EuroGP Improving Generalization of Evolutionary Feature Construction with Minimal Complexity Knee Points in Regression
HengzheZhang.html
QiChen.html
BingXue.html
WolfgangBanzhaf.html
MengjieZhang.html
http___dx.doi.org_10.1007_978-3-031-56957-9_9 http://dx.doi.org/10.1007/978-3-031-56957-9_9
Zhang:2020:SMC A Multi-metric Selection Strategy for Evolutionary Symbolic Regression
HuZhang.html
HengzheZhang.html
AiminZhou.html
http___dx.doi.org_10.1109_SMC42975.2020.9283385 http://dx.doi.org/10.1109/SMC42975.2020.9283385
Zhang3:2009:cec Unconstrained Gene Expression Programming
JianweiZhang.html
ZhijianWu.html
ZongyueWang.html
JingleiGuo.html
ZhangcanHuang.html
http___dx.doi.org_10.1109_CEC.2009.4983192 http://dx.doi.org/10.1109/CEC.2009.4983192
Zhang:2009:ISA Evolving Classification Rules by Unconstrained Gene Expression Programming
JianweiZhang.html
ZhijianWu.html
JingleiGuo.html
MinPeng.html
YingjiangZhang.html
ChunzhiWang.html
http___dx.doi.org_10.1109_IWISA.2009.5072858 http://dx.doi.org/10.1109/IWISA.2009.5072858
DBLP:conf/kbse/ZhangCHXXZM14 Search-based inference of polynomial metamorphic relations
JieMarinaZhang.html
JunjieChen.html
DanHao.html
YingfeiXiong.html
BingXie.html
LuZhang.html
HongMei.html
http___doi.acm.org_10.1145_2642937.2642994 http://doi.acm.org/10.1145/2642937.2642994
http___dx.doi.org_10.1145_2642937.2642994 http://dx.doi.org/10.1145/2642937.2642994
https___dblp.org_rec_bib_conf_kbse_ZhangCHXXZM14 https://dblp.org/rec/bib/conf/kbse/ZhangCHXXZM14
Zhang:2013:PIMRC A hybrid framework for capacity and coverage optimization in self-organizing LTE networks
JietaoZhang.html
ChunhuaSun.html
YouwenYi.html
HongchengZhuang.html
http___dx.doi.org_10.1109_PIMRC.2013.6666646 http://dx.doi.org/10.1109/PIMRC.2013.6666646
zhang:2022:GECCOcomp2 Regulatory Genotype-to-Phenotype Mappings Improve Evolvability in Genetic Programming
JintingZhang.html
TingHu.html
http___dx.doi.org_10.1145_3520304.3529043 http://dx.doi.org/10.1145/3520304.3529043
https___vimeo.com_725585143 https://vimeo.com/725585143
Zhang:2009:AMSS Theoretical model of effective stress coefficient for rock/soil-like porous materials
KaiZhang.html
HuiZhou.html
DaweiHu.html
YangZhao.html
Xia-TingFeng.html
http___www.sciencedirect.com_science_article_B984H-4WV72Y9-8_2_282828625dc141a36342e982db9762d4 http://www.sciencedirect.com/science/article/B984H-4WV72Y9-8/2/282828625dc141a36342e982db9762d4
http___dx.doi.org_10.1016_S0894-9166_09_60272-X http://dx.doi.org/10.1016/S0894-9166(09)60272-X
ZHANG:2019:JEM Testing of new stormwater pollution build-up algorithms informed by a genetic programming approach
KefengZhang.html
AnaDeletic.html
PeterMBach.html
BaiqianShi.html
JonMHathaway.html
DavidTMcCarthy.html
http___dx.doi.org_10.1016_j.jenvman.2019.04.009 http://dx.doi.org/10.1016/j.jenvman.2019.04.009
http___www.sciencedirect.com_science_article_pii_S0301479719304669 http://www.sciencedirect.com/science/article/pii/S0301479719304669
Zhang:2006:WCICA An Improved Gene Expression Programming for Solving Inverse Problem
KeJunZhang.html
YuxiaHu.html
GangLiu.html
http___dx.doi.org_10.1109_WCICA.2006.1712993 http://dx.doi.org/10.1109/WCICA.2006.1712993
Zhang:2013:NC Web music emotion recognition based on higher effective gene expression programming
KeJunZhang.html
ShouqianSun.html
http___www.sciencedirect.com_science_article_pii_S0925231212007035 http://www.sciencedirect.com/science/article/pii/S0925231212007035
http___dx.doi.org_10.1016_j.neucom.2012.06.041 http://dx.doi.org/10.1016/j.neucom.2012.06.041
zhang:2018:MBEC An efficient model for auxiliary diagnosis of hepatocellular carcinoma based on gene expression programming
LiZhang.html
JiashengChen.html
ChunmingGao.html
ChuanmiaoLiu.html
KuihuaXu.html
http___link.springer.com_article_10.1007_s11517-018-1811-6 http://link.springer.com/article/10.1007/s11517-018-1811-6
http___dx.doi.org_10.1007_s11517-018-1811-6 http://dx.doi.org/10.1007/s11517-018-1811-6
Zhang:2005:MSSP Fault detection using genetic programming
LiangZhang.html
LindsayBJack.html
AsokeKNandi.html
http___www.sciencedirect.com_science_article_B6WN1-4CJVC9S-1_2_16e55d1f86d4a8227c9e01e7b37e449d http://www.sciencedirect.com/science/article/B6WN1-4CJVC9S-1/2/16e55d1f86d4a8227c9e01e7b37e449d
http___dx.doi.org_10.1016_j.ymssp.2004.03.002 http://dx.doi.org/10.1016/j.ymssp.2004.03.002
Zhang:2007:MSSP Fault classification using genetic programming
LiangZhang.html
AsokeKNandi.html
http___dx.doi.org_10.1016_j.ymssp.2006.04.004 http://dx.doi.org/10.1016/j.ymssp.2006.04.004
Zhang:2006:PR Neutral offspring controlling operators in genetic programming
LiangZhang.html
AsokeKNandi.html
http___dx.doi.org_10.1016_j.patcog.2006.10.001 http://dx.doi.org/10.1016/j.patcog.2006.10.001
ZHANG:2022:knosys Evolving ensembles using multi-objective genetic programming for imbalanced classification
LiangZhang2.html
KefanWang.html
LuyuanXu.html
WenjiaSheng.html
QiKang.html
http___dx.doi.org_10.1016_j.knosys.2022.109611 http://dx.doi.org/10.1016/j.knosys.2022.109611
https___www.sciencedirect.com_science_article_pii_S0950705122008127 https://www.sciencedirect.com/science/article/pii/S0950705122008127
Zhang:2019:CSCI Combined Genetic Programming and Neural Network Approaches to Electronic Modeling
LouisZhang.html
Qi-JunZhang.html
http___dx.doi.org_10.1109_CSCI49370.2019.00284 http://dx.doi.org/10.1109/CSCI49370.2019.00284
zhang:1999:GPmcod Genetic Programming for Multiple Class Object Detection
MengjieZhang.html
VictorCiesielski.html
http___www.springer.com_computer_ai_book_978-3-540-66822-0 http://www.springer.com/computer/ai/book/978-3-540-66822-0
mengjie-thesis A Domain Independent Approach to 2D Object Detection Based on the Neural and Genetic Paradigms
MengjieZhang.html
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http___goanna.cs.rmit.edu.au__vc_papers_zhang-phd.pdf http://goanna.cs.rmit.edu.au/~vc/papers/zhang-phd.pdf
http___citeseer.ist.psu.edu_zhang00domain.html http://citeseer.ist.psu.edu/zhang00domain.html
Zhang:evowks03 Pixel Statistics and False Alarm Area in Genetic Programming for Object Detection
MengjieZhang.html
PeterAndreae.html
MarkPritchard.html
http___dx.doi.org_10.1007_3-540-36605-9_42 http://dx.doi.org/10.1007/3-540-36605-9_42
Zhang:2003:JASP A Domain-independent Window approach to Multiclass Object Detection using Genetic Programming
MengjieZhang.html
VictorCiesielski.html
PeterAndreae.html
http___www.mcs.vuw.ac.nz__pondy_eurasip2003.pdf http://www.mcs.vuw.ac.nz/~pondy/eurasip2003.pdf
http___downloads.hindawi.com_journals_asp_2003_206791.pdf http://downloads.hindawi.com/journals/asp/2003/206791.pdf
http___dx.doi.org_10.1155_S1110865703303063 http://dx.doi.org/10.1155/S1110865703303063
vuw-CS-TR-04-2 Multiclass Object Classification Using Genetic Programming
MengjieZhang.html
WillSmart.html
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vuw-CS-TR-04-3 Pixel Statistics and Program Size in Genetic Programming for Object Detection
MengjieZhang.html
UrveshBhowan.html
http___www.mcs.vuw.ac.nz_comp_Publications_archive_CS-TR-04_CS-TR-04-3.pdf http://www.mcs.vuw.ac.nz/comp/Publications/archive/CS-TR-04/CS-TR-04-3.pdf
http___www.mcs.vuw.ac.nz_comp_Publications_CS-TR-04-3.abs.html http://www.mcs.vuw.ac.nz/comp/Publications/CS-TR-04-3.abs.html
vuw-CS-TR-04-6 A Two Phase Genetic Programming Approach to Object Detection
MengjieZhang.html
PeterAndreae.html
UrveshBhowan.html
http___www.mcs.vuw.ac.nz_comp_Publications_archive_CS-TR-04_CS-TR-04-6.pdf http://www.mcs.vuw.ac.nz/comp/Publications/archive/CS-TR-04/CS-TR-04-6.pdf
http___www.mcs.vuw.ac.nz_comp_Publications_CS-TR-04-6.abs.html http://www.mcs.vuw.ac.nz/comp/Publications/CS-TR-04-6.abs.html
Zhang:2004:IJCIA Neural Networks and Genetic Algorithms for Domain Independent Multiclass Object Detection
MengjieZhang.html
VictorCiesielski.html
http___dx.doi.org_10.1142_S146902680400115X http://dx.doi.org/10.1142/S146902680400115X
zhang:evows04 Multiclass Object Classification Using Genetic Programming
MengjieZhang.html
WillSmart.html
http___dx.doi.org_10.1007_978-3-540-24653-4_38 http://dx.doi.org/10.1007/978-3-540-24653-4_38
zhang:2004:eurogp Genetic Programming with Gradient Descent Search for Multiclass Object Classification
MengjieZhang.html
WillSmart.html
http___dx.doi.org_10.1007_978-3-540-24650-3_38 http://dx.doi.org/10.1007/978-3-540-24650-3_38
zhang2:evows04 Program Size and Pixel Statistics in Genetic Programming for Object Detection
MengjieZhang.html
UrveshBhowan.html
http___dx.doi.org_10.1007_978-3-540-24653-4_39 http://dx.doi.org/10.1007/978-3-540-24653-4_39
conf/kes/ZhangAB04 A Two Phase Genetic Programming Approach to Object Detection
MengjieZhang.html
PeterAndreae.html
UrveshBhowan.html
http___dx.doi.org_10.1007_978-3-540-30134-9_32 http://dx.doi.org/10.1007/978-3-540-30134-9_32
vuw-CS-TR-05-5 Using Gaussian Distribution to Construct Fitness Functions in Genetic Programming for Multiclass Object Classification
MengjieZhang.html
WillSmart.html
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zhang:evows05 Learning Weights in Genetic Programs Using Gradient Descent for Object Recognition
MengjieZhang.html
WillSmart.html
http___dx.doi.org_10.1007_b106856 http://dx.doi.org/10.1007/b106856
conf/kes/ZhangZS05 Program Simplification in Genetic Programming for Object Classification
MengjieZhang.html
YunZhang.html
WillSmart.html
http___dx.doi.org_10.1007_11553939_139 http://dx.doi.org/10.1007/11553939_139
vuw-CS-TR-06-2 A New Crossover Operator in GP for Object Classification
MengjieZhang.html
Xiaoying_Sharon_Gao.html
Weijun_Norman_Lou.html
http___www.mcs.vuw.ac.nz_comp_Publications_CS-TR-06-2.abs.html http://www.mcs.vuw.ac.nz/comp/Publications/CS-TR-06-2.abs.html
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vuw-CS-TR-06-6 Experiments on Brood Size in GP with Brood Recombination Crossover for Object Recognition
MengjieZhang.html
Xiaoying_Sharon_Gao.html
MinhDucCao.html
http___www.mcs.vuw.ac.nz_comp_Publications_CS-TR-06-6.abs.html http://www.mcs.vuw.ac.nz/comp/Publications/CS-TR-06-6.abs.html
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vuw-CS-TR-06-8 Improving Fitness Function and Optimising Training Data in GP for Object Detection
MengjieZhang.html
MalcolmLett.html
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Zhang:2006:ELCVIA Genetic Programming for Object Detection: A Two-Phase Approach with an Improved Fitness Function
MengjieZhang.html
UrveshBhowan.html
BunnaNy.html
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http___dx.doi.org_10.5565_rev_elcvia.135 http://dx.doi.org/10.5565/rev/elcvia.135
zhang:evows06 Localisation Fitness in GP for Object Detection
MengjieZhang.html
MalcolmLett.html
http___dx.doi.org_10.1007_11732242_42 http://dx.doi.org/10.1007/11732242_42
zhang:2006:PRL Using Gaussian distribution to construct fitness functions in genetic programming for multiclass object classification
MengjieZhang.html
WillSmart.html
http___dx.doi.org_10.1016_j.patrec.2005.07.024 http://dx.doi.org/10.1016/j.patrec.2005.07.024
Zhang:2006:CEC Looseness Controlled Crossover in GP for Object Recognition
MengjieZhang.html
Xiaoying_Sharon_Gao.html
Weijun_Norman_Lou.html
http___dx.doi.org_10.1109_CEC.2006.1688457 http://dx.doi.org/10.1109/CEC.2006.1688457
DBLP:conf/pricai/ZhangGLQ06 Investigation of Brood Size in GP with Brood Recombination Crossover for Object Recognition
MengjieZhang.html
Xiaoying_Sharon_Gao.html
Weijun_Norman_Lou.html
DongpingQian.html
http___dx.doi.org_10.1007_11801603_107 http://dx.doi.org/10.1007/11801603_107
DBLP:conf/seal/ZhangWQ06 Online Program Simplification in Genetic Programming
MengjieZhang.html
PhillipWong.html
DongpingQian.html
http___dx.doi.org_10.1007_11903697_75 http://dx.doi.org/10.1007/11903697_75
DBLP:conf/seal/ZhangLM06 Refining Fitness Functions and Optimising Training Data in GP for Object Detection
MengjieZhang.html
MalcolmLett.html
YuejinMa.html
http___dx.doi.org_10.1007_11903697_76 http://dx.doi.org/10.1007/11903697_76
Zhang:2006:IIIB Genetic Programming for Object Detection: Improving Fitness Functions and Optimising Training Data
MengjieZhang.html
MalcolmLett.html
http___www.comp.hkbu.edu.hk__cib_2006_Dec_iib_vol7no1_article2.pdf http://www.comp.hkbu.edu.hk/~cib/2006/Dec/iib_vol7no1_article2.pdf
Zhang:2006:IVCNZ Genetic Programming for Object Detection
MengjieZhang.html
UrveshBhowan.html
BunnaNy.html
http___mcs.une.edu.au__wkwan2_publications_pdf_Proceedings-IVCNZ2006.pdf http://mcs.une.edu.au/~wkwan2/publications/pdf/Proceedings-IVCNZ2006.pdf
http___www.worldcat.org_title_proceedings-image-and-vision-computing-new-zealand-2006-great-barrier-island-new-zealand-27th-29th-november-2006_oclc_182549710 http://www.worldcat.org/title/proceedings-image-and-vision-computing-new-zealand-2006-great-barrier-island-new-zealand-27th-29th-november-2006/oclc/182549710
DBLP:conf/ausai/ZhangGL06 GP for Object Classification: Brood Size in Brood Recombination Crossover
MengjieZhang.html
Xiaoying_Sharon_Gao.html
Weijun_Norman_Lou.html
http___dx.doi.org_10.1007_11941439_31 http://dx.doi.org/10.1007/11941439_31
zhang:evows07 Genetic Programming for Image Recognition: An LGP Approach
MengjieZhang.html
ChristopherFogelberg.html
http___dx.doi.org_10.1007_978-3-540-71805-5_37 http://dx.doi.org/10.1007/978-3-540-71805-5_37
Zhang:2007:SMC A New Crossover Operator in Genetic Programming for Object Classification
MengjieZhang.html
Xiaoying_Sharon_Gao.html
Weijun_Norman_Lou.html
http___dx.doi.org_10.1109_TSMCB.2007.902043 http://dx.doi.org/10.1109/TSMCB.2007.902043
Zhang:2007:IJAIT Improving Object Detection Performance with Genetic Programming
MengjieZhang.html
http___dx.doi.org_10.1142_S0218213007003576 http://dx.doi.org/10.1142/S0218213007003576
zhang:2007:CS A Linear Structured Approach and A Refined Fitness Function in Genetic Programming for Multi-class Object Classification
MengjieZhang.html
ChristopherFogelberg.html
YuejinMa.html
http___dx.doi.org_10.1080_09540090701725557 http://dx.doi.org/10.1080/09540090701725557
Zhang:2007:gecipa17 Genetic Programming Techniques for Multiclass Object Recognition
MengjieZhang.html
http___downloads.hindawi.com_books_9789774540011.pdf http://downloads.hindawi.com/books/9789774540011.pdf
Zhang:2008:GPEM Genetic programming for medical classification: a program simplification approach
MengjieZhang.html
PhillipWong.html
http___dx.doi.org_10.1007_s10710-008-9059-9 http://dx.doi.org/10.1007/s10710-008-9059-9
Zhang:2008:ijcia Explicitly Simplifying Evolved Genetic Programs During Evolution
MengjieZhang.html
PhillipWong.html
http___www.worldscientific.com_doi_abs_10.1142_S1469026808002247 http://www.worldscientific.com/doi/abs/10.1142/S1469026808002247
http___dx.doi.org_10.1142_S1469026808002247 http://dx.doi.org/10.1142/S1469026808002247
Zhang:2009:EIASP A Variant Program Structure in Tree-Based Genetic Programming for Multiclass Object Classification
MengjieZhang.html
MarkJohnston.html
http___dx.doi.org_10.1007_978-3-642-01636-3_4 http://dx.doi.org/10.1007/978-3-642-01636-3_4
Zhang:2013:ieeeCIM Special Issue on Computational Intelligence in Computer Vision and Image Processing
MengjieZhang.html
MarioKoppen.html
SergioDamas.html
http___dx.doi.org_10.1109_MCI.2012.2228585 http://dx.doi.org/10.1109/MCI.2012.2228585
Zhang:2015:GECCOcomp Evolutionary Image Analysis, Signal Processing and Pattern Recognition
MengjieZhang.html
StefanoCagnoni.html
http___doi.acm.org_10.1145_2739482.2756566 http://doi.acm.org/10.1145/2739482.2756566
http___dx.doi.org_10.1145_2739482.2756566 http://dx.doi.org/10.1145/2739482.2756566
Zhang:2016:GECCOcomp Evolutionary Computation for Feature Selection and Feature Construction
MengjieZhang.html
BingXue.html
http___dx.doi.org_10.1145_2908961.2927002 http://dx.doi.org/10.1145/2908961.2927002
Zhang:2017:APSIES Keynote talks: Evolutionary feature selection and dimensionality reduction
MengjieZhang.html
http___dx.doi.org_10.1109_IESYS.2017.8233551 http://dx.doi.org/10.1109/IESYS.2017.8233551
Zhang:2019:GECCOcompc Evolutionary computation and evolutionary deep learning for image analysis, signal processing and pattern recognition
MengjieZhang.html
StefanoCagnoni.html
http___dx.doi.org_10.1145_3319619.3323388 http://dx.doi.org/10.1145/3319619.3323388
Zhang:2020:GECCOcompb Evolutionary Computation and Evolutionary Deep Learning for Image Analysis, Signal Processing and Pattern Recognition
MengjieZhang.html
StefanoCagnoni.html
https___doi.org_10.1145_3377929.3389856 https://doi.org/10.1145/3377929.3389856
http___dx.doi.org_10.1145_3377929.3389856 http://dx.doi.org/10.1145/3377929.3389856
Zhang:2010:ICIC Approximate Calculation about Standard Normal Distribution with Genetic Programming
MingZhang.html
YongquanZhou.html
http___dx.doi.org_10.1109_ICIC.2010.187 http://dx.doi.org/10.1109/ICIC.2010.187
Zhang:2018:DDCLS Behavior Modeling for Autonomous Agents Based on Modified Evolving Behavior Trees
QiZhang.html
KaiXu.html
PengJiao.html
QuanjunYin.html
http___dx.doi.org_10.1109_DDCLS.2018.8515939 http://dx.doi.org/10.1109/DDCLS.2018.8515939
zhang:2018:AS Learning Behavior Trees for Autonomous Agents with Hybrid Constraints Evolution
QiZhang.html
JianYao.html
QuanjunYin.html
YabingZha.html
https___www.mdpi.com_2076-3417_8_7_1077 https://www.mdpi.com/2076-3417/8/7/1077
http___dx.doi.org_10.3390_app8071077 http://dx.doi.org/10.3390/app8071077
Zhang:2021:AIR Genetic programming in civil engineering: advent, applications and future trends
Qianyun_Gloria_Zhang.html
KavehBarri.html
PengchengJiao.html
HadiSalehi.html
AHAlavi.html
https___rdcu.be_cwlIF https://rdcu.be/cwlIF
http___dx.doi.org_10.1007_s10462-020-09894-7 http://dx.doi.org/10.1007/s10462-020-09894-7
Zhang:2013:CCDC New dimensionless parameter construction using genetic programming for fault classifying of rotating machinery
QinghuaZhang.html
QinHu.html
GuoxiSun.html
AisongQin.html
XiaoshengSi.html
http___dx.doi.org_10.1109_CCDC.2013.6561726 http://dx.doi.org/10.1109/CCDC.2013.6561726
Zhang:gecco06lbp Using Differential Evolution for GEP Constant Creation
Qiongyun_Amy_Zhang.html
ChiZhou.html
WeiminXiao.html
PeterCNelson.html
XinLi.html
http___gpbib.cs.ucl.ac.uk_gecco2006etc_papers_lbp130.pdf http://gpbib.cs.ucl.ac.uk/gecco2006etc/papers/lbp130.pdf
Zhang:2007:ICMLA Improving gene expression programming performance by using differential evolution
Qiongyun_Amy_Zhang.html
ChiZhou.html
WeiminXiao.html
PeterCNelson.html
http___dx.doi.org_10.1109_ICMLA.2007.62 http://dx.doi.org/10.1109/ICMLA.2007.62
Zhang:2013:IJICT An improved multi-expression programming algorithm applied in function discovery and data prediction
QingkeZhang.html
BoYang.html
LinWang.html
JianzhangJiang.html
http___www.inderscience.com_link.php_id_54952 http://www.inderscience.com/link.php?id=54952
http___dx.doi.org_10.1504_IJICT.2013.054952 http://dx.doi.org/10.1504/IJICT.2013.054952
Zhang:2023:QRS-C Uncertainty-Wise Model Evolution with Genetic Programming
ManZhang.html
ShaukatAli.html
TaoYue.html
http___dx.doi.org_10.1109_QRS-C60940.2023.00062 http://dx.doi.org/10.1109/QRS-C60940.2023.00062
Zhang:2021:ASICON Mutual Error Compensation based Area and Power efficient Approximate Multiplier
RenYuanZhang.html
XueTaoWang.html
ZiyuWang.html
AnFengXue.html
HaichuanYang.html
YuGong.html
BoLiu2.html
http___dx.doi.org_10.1109_ASICON52560.2021.9620312 http://dx.doi.org/10.1109/ASICON52560.2021.9620312
zhang:2022:PRICAI Speeding up Genetic Programming Based Symbolic Regression Using GPUs
RuiZhang.html
AndrewLensen.html
YananSun.html
http___link.springer.com_chapter_10.1007_978-3-031-20862-1_38 http://link.springer.com/chapter/10.1007/978-3-031-20862-1_38
http___dx.doi.org_10.1007_978-3-031-20862-1_38 http://dx.doi.org/10.1007/978-3-031-20862-1_38
ZhangRui:ieeeTEC GPU Based Genetic Programming for Faster Feature Extraction in Binary Image Classification
RuiZhang.html
YananSun.html
MengjieZhang.html
http___dx.doi.org_10.1109_TEVC.2023.3294639 http://dx.doi.org/10.1109/TEVC.2023.3294639
https___github.com_RayZhhh_CupaGP https://github.com/RayZhhh/CupaGP
Zhang:2015:CyberC An Improved Parallel Algorithm of Genetic Programming Based on the Framework of MapReduce
SongZhang.html
JunMa2.html
Yang-YangZhao.html
QiongLiu.html
http___dx.doi.org_10.1109_CyberC.2015.37 http://dx.doi.org/10.1109/CyberC.2015.37
Zhang:2010:ICCASM An ANN model of optimizing activation functions based on constructive algorithm and GP
ShengZhang.html
XiuyuShang.html
WeiWang.html
http___dx.doi.org_10.1109_ICCASM.2010.5620620 http://dx.doi.org/10.1109/ICCASM.2010.5620620
Zhang:2022:ICKES Algorithm Construction of Artificial Intelligence Expression Programming in Complex Function Polymorphism Modeling
JingZhang.html
ChengWan.html
http___dx.doi.org_10.1109_ICKECS56523.2022.10060583 http://dx.doi.org/10.1109/ICKECS56523.2022.10060583
zhang:2022:AiSI Genetic Programming for Ensemble Learning in Face Recognition
TianZhang.html
LianboMa.html
QunfengLiu.html
NanLi.html
YangLiu.html
http___link.springer.com_chapter_10.1007_978-3-031-09726-3_19 http://link.springer.com/chapter/10.1007/978-3-031-09726-3_19
http___dx.doi.org_10.1007_978-3-031-09726-3_19 http://dx.doi.org/10.1007/978-3-031-09726-3_19
WeiZhang:2004:ICMLC Genetic programming-based modeling on chaotic time series
WeiZhang.html
Gen-KeYang.html
Zhi-MingWu.html
http___ieeexplore.ieee.org_iel5_9459_30104_01382192.pdf_tp__arnumber_1382192_isnumber_30104 http://ieeexplore.ieee.org/iel5/9459/30104/01382192.pdf?tp=&arnumber=1382192&isnumber=30104
http___dx.doi.org_10.1109_ICMLC.2004.1382192 http://dx.doi.org/10.1109/ICMLC.2004.1382192
WeiZhang:2004:JZUS Genetic programming-based chaotic time series modeling
WeiZhang.html
Zhi-MingWu.html
Gen-KeYang.html
http___www.zju.edu.cn_jzus_2004_0411_041118.pdf http://www.zju.edu.cn/jzus/2004/0411/041118.pdf
http___dx.doi.org_10.1631_jzus.2004.1432 http://dx.doi.org/10.1631/jzus.2004.1432
Zhang:2023:ICBASE An improved genetic programming algorithm based on bloat control
WeiZhang.html
De-LiangHua.html
Si-HaiLi.html
ZhenRen.html
Zhi-LingYu.html
http___dx.doi.org_10.1109_ICBASE59196.2023.10303075 http://dx.doi.org/10.1109/ICBASE59196.2023.10303075
ZHANG:2021:CBM Predicting Marshall parameters of flexible pavement using support vector machine and genetic programming
WeiguangZhang.html
AdnanKhan.html
JuHuyan.html
JingtaoZhong.html
TianyiPeng.html
HanglinCheng.html
http___dx.doi.org_10.1016_j.conbuildmat.2021.124924 http://dx.doi.org/10.1016/j.conbuildmat.2021.124924
https___www.sciencedirect.com_science_article_pii_S0950061821026751 https://www.sciencedirect.com/science/article/pii/S0950061821026751
Zhang:2018:CCC Radar Signal Recognition Based on TPOT and LIME
WenqiangZhang.html
PengGe.html
WeidongJin.html
JianZhang2.html
http___dx.doi.org_10.23919_ChiCC.2018.8483165 http://dx.doi.org/10.23919/ChiCC.2018.8483165
Zhang:2021:JMRI Automated machine learning to predict the co-occurrence of isocitrate dehydrogenase mutations and O6-methylguanine-DNA methyltransferase promoter methylation in patients with gliomas
SiminZhang.html
HuaiqiangSun.html
XiaoruiSu.html
XibiaoYang.html
WeinaWang.html
XinyueWan.html
QiaoyueTan.html
NiChen.html
QiangYue.html
QiyongGong.html
http___dx.doi.org_10.1002_jmri.27498 http://dx.doi.org/10.1002/jmri.27498
Zhang;1999:sfi Detecting Structural Changes Using Genetic Programming with an Application to the Greater-China Stock Market
Xibin_Bill_Zhang.html
YiuKuenTse.html
WSChan.html
http___dx.doi.org_10.1142_9781848160156_0022 http://dx.doi.org/10.1142/9781848160156_0022
conf/icnc/ZhangSSDSS16 Quantitative Structure-Retention Relationship (QSRR) study of oxygen-containing organic compounds based on Gene Expression Programming (GEP)
XiaotongZhang.html
TingSun.html
LihuaShi.html
LingDing.html
ZhaolinSun.html
LijuanSong.html
http___ieeexplore.ieee.org_xpl_mostRecentIssue.jsp_punumber_7580922 http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=7580922
http___dx.doi.org_10.1109_FSKD.2016.7603163 http://dx.doi.org/10.1109/FSKD.2016.7603163
Zhang:2013:IHMSC Evolutionary Design of an Analog Filter
XuehuaZhang.html
YaoLi.html
http___dx.doi.org_10.1109_IHMSC.2013.260 http://dx.doi.org/10.1109/IHMSC.2013.260
zhang3:evows04 Intrinsic Evolvable Hardware in Digital Filter Design
YangZhang.html
StephenLSmith.html
AndrewMTyrrell.html
http___dx.doi.org_10.1007_978-3-540-24653-4_40 http://dx.doi.org/10.1007/978-3-540-24653-4_40
1068143 Evolving optimal feature extraction using multi-objective genetic programming: a methodology and preliminary study on edge detection
YangZhang.html
PeterIRockett.html
http___gpbib.cs.ucl.ac.uk_gecco2005_docs_p795.pdf http://gpbib.cs.ucl.ac.uk/gecco2005/docs/p795.pdf
http___dx.doi.org_10.1145_1068009.1068143 http://dx.doi.org/10.1145/1068009.1068143
Zhang:2006:MOML Feature extraction using multi-objective genetic programming
YangZhang.html
PeterIRockett.html
http___dx.doi.org_10.1007_3-540-33019-4_4 http://dx.doi.org/10.1007/3-540-33019-4_4
VIE2006-002 A Generic Optimal Feature Extraction Method using Multiobjective Genetic Programming
YangZhang.html
PeterIRockett.html
http___www.shef.ac.uk_eee_vie_tech_VIE2006-002.pdf http://www.shef.ac.uk/eee/vie/tech/VIE2006-002.pdf
Zhang:2006:MLC Autonomous Robot Failure Recognition Design using Multi-Objective Genetic Programming
YangZhang.html
http___dx.doi.org_10.1109_ICMLC.2006.258378 http://dx.doi.org/10.1109/ICMLC.2006.258378
Zhang:2006:WSC Multiobjective Genetic Programming Feature Extraction with Optimized Dimensionality
YangZhang.html
PeterIRockett.html
http___www.cs.armstrong.edu_wsc11_pdf_pap107s2-file1.pdf http://www.cs.armstrong.edu/wsc11/pdf/pap107s2-file1.pdf
https___link.springer.com_chapter_10.1007_978-3-540-70706-6_15 https://link.springer.com/chapter/10.1007/978-3-540-70706-6_15
http___dx.doi.org_10.1007_978-3-540-70706-6_15 http://dx.doi.org/10.1007/978-3-540-70706-6_15
YangZhang:thesis Multi-objective genetic programming optimal search for feature extraction
YangZhang.html
http___ethos.bl.uk_OrderDetails.do_uin_uk.bl.ethos.434509 http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.434509
zhang:2007:AIR A Comparison of three evolutionary strategies for multiobjective genetic programming
YangZhang.html
PeterIRockett.html
http___link.springer.com_article_10.1007_s10462-008-9093-2 http://link.springer.com/article/10.1007/s10462-008-9093-2
http___dx.doi.org_10.1007_s10462-008-9093-2 http://dx.doi.org/10.1007/s10462-008-9093-2
conf/eurogp/ZhangLNR08 Applying Cost-Sensitive Multiobjective Genetic Programming to Feature Extraction for Spam E-mail Filtering
YangZhang.html
HongYuLi.html
MahesanNiranjan.html
PeterIRockett.html
http___dx.doi.org_10.1007_978-3-540-78671-9_28 http://dx.doi.org/10.1007/978-3-540-78671-9_28
10.1.1.99.3617 Edge Detector Evolution using Multidimensional Multiobjective Genetic Programming
YangZhang.html
PeterIRockett.html
http___citeseerx.ist.psu.edu_viewdoc_download_doi_10.1.1.99.3617_rep_rep1_type_pdf http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.99.3617&rep=rep1&type=pdf
Zhang:2009:EC A Generic Multi-dimensional Feature Extraction Method Using Multiobjective Genetic Programming
YangZhang.html
PeterIRockett.html
http___dx.doi.org_10.1162_evco.2009.17.1.89 http://dx.doi.org/10.1162/evco.2009.17.1.89
Zhang:2009:ieeetASE Application of Multiobjective Genetic Programming to the Design of Robot Failure Recognition Systems
YangZhang.html
PeterIRockett.html
http___dx.doi.org_10.1109_TASE.2008.2004414 http://dx.doi.org/10.1109/TASE.2008.2004414
Zhang:2010:PAA Domain-independent feature extraction for multi-classification using multi-objective genetic programming
YangZhang.html
PeterIRockett.html
http___dx.doi.org_10.1007_s10044-009-0154-1 http://dx.doi.org/10.1007/s10044-009-0154-1
Zhang20111087 A generic optimising feature extraction method using multiobjective genetic programming
YangZhang.html
PeterIRockett.html
http___dx.doi.org_10.1016_j.asoc.2010.02.008 http://dx.doi.org/10.1016/j.asoc.2010.02.008
zhang:2004:gpcls Genetic programming in classifying large-scale data: an ensemble method
YifengZhang.html
SiddharthaBhattacharyya.html
http___www.sciencedirect.com_science_article_B6V0C-4B3JHTS-8_2_e700b4ff083cb177e8d6d03d0767a261 http://www.sciencedirect.com/science/article/B6V0C-4B3JHTS-8/2/e700b4ff083cb177e8d6d03d0767a261
http___dx.doi.org_10.1016_j.ins.2003.03.028 http://dx.doi.org/10.1016/j.ins.2003.03.028
Ying_Zhang:thesis Synthesis of local thermo-physical models using genetic programming
YingZhang.html
http___scholarcommons.usf.edu_etd_103 http://scholarcommons.usf.edu/etd/103
http___scholarcommons.usf.edu_cgi_viewcontent.cgi_article_1102_context_etd http://scholarcommons.usf.edu/cgi/viewcontent.cgi?article=1102&context=etd
conf/isda/ZhangC06 Predicting for MTBF Failure Data Series of Software Reliability by Genetic Programming Algorithm
YongqiangZhang.html
HuashanChen.html
http___dx.doi.org_10.1109_ISDA.2006.218 http://dx.doi.org/10.1109/ISDA.2006.218
conf/icnc/ZhangC06 Improved Approach of Genetic Programming and Applications for Data Mining
YongqiangZhang.html
HuashanChen.html
http___dx.doi.org_10.1007_11881070_108 http://dx.doi.org/10.1007/11881070_108
oai:CiteSeerX.psu:10.1.1.522.8848 Research on Time Series Modeling by Genetic Programming and Model De-noising
YongqiangZhang.html
LiliWu.html
http___citeseerx.ist.psu.edu_viewdoc_summary_doi_10.1.1.522.8848 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.522.8848
http___www.wseas.us_e-library_conferences_2007australia_papers_550-117.pdf http://www.wseas.us/e-library/conferences/2007australia/papers/550-117.pdf
Zhang:2008:ieeeICIT Software reliability model by AGP
YongqiangZhang.html
JingjieYin.html
http___dx.doi.org_10.1109_ICIT.2008.4608638 http://dx.doi.org/10.1109/ICIT.2008.4608638
Zhang:2012:Jsoftware BS-GEP Algorithm for Prediction of Software Failure Series
YongqiangZhang.html
JingXiao.html
ShengjuanSun.html
http___www.jsoftware.us_index.php_m_content_c_index_a_show_catid_55_id_1084 http://www.jsoftware.us/index.php?m=content&c=index&a=show&catid=55&id=1084
http___www.jsoftware.us_vol7_jsw0701-33.pdf http://www.jsoftware.us/vol7/jsw0701-33.pdf
journals/candc/ZhangPZSZZ13 Using gene expression programming to infer gene regulatory networks from time-series data
YongqingZhang.html
Yi-FeiPu.html
HaisenZhang.html
YaboSu.html
LifangZhang.html
JiliuZhou.html
http___dx.doi.org_10.1016_j.compbiolchem.2013.09.004 http://dx.doi.org/10.1016/j.compbiolchem.2013.09.004
http___dx.doi.org_10.1016_j.compbiolchem.2013.09.004 http://dx.doi.org/10.1016/j.compbiolchem.2013.09.004
Zhang:2019:EuroGP Fault Detection and Classification for Induction Motors using Genetic Programming
YuZhang2.html
TingHu.html
XiaodongLiang.html
MohammadZawadAli.html
MdNasmusSakibKhanShabbir.html
https___www.springer.com_us_book_9783030166694 https://www.springer.com/us/book/9783030166694
http___dx.doi.org_10.1007_978-3-030-16670-0_12 http://dx.doi.org/10.1007/978-3-030-16670-0_12
Zhang:2020:EuroGPa Classification of Autism Genes using Network Science and Linear Genetic Programming
YuZhang2.html
YuanzhuChen.html
TingHu.html
http___dx.doi.org_10.1007_978-3-030-44094-7_18 http://dx.doi.org/10.1007/978-3-030-44094-7_18
Zhang:2019:ICARM Multi-region System Modelling by using Genetic Programming to Extract Rule Consequent Functions in a TSK Fuzzy System
YuZhang3.html
MiguelMartinez-Garcia.html
JoseRSerrano-Cruz.html
AnthonyLatimer.html
http___dx.doi.org_10.1109_ICARM.2019.8834163 http://dx.doi.org/10.1109/ICARM.2019.8834163
vuw-CS-TR-04-14 A Multiple-Output Program Tree Structure in Genetic Programming
YunZhang.html
MengjieZhang.html
http___www.mcs.vuw.ac.nz_comp_Publications_CS-TR-04-14.abs.html http://www.mcs.vuw.ac.nz/comp/Publications/CS-TR-04-14.abs.html
http___www.mcs.vuw.ac.nz_comp_Publications_archive_CS-TR-04_CS-TR-04-14.pdf http://www.mcs.vuw.ac.nz/comp/Publications/archive/CS-TR-04/CS-TR-04-14.pdf
YunZhang:04:ivcnz A New Program Structure in Genetic Programming for Object Classification
YunZhang.html
MengjieZhang.html
http___www.mcs.vuw.ac.nz__mengjie_papers_1052-yun-meng-ivcnz04.pdf http://www.mcs.vuw.ac.nz/~mengjie/papers/1052-yun-meng-ivcnz04.pdf
Zhang:2004:aspgp A Multiple-Output Program Tree Structure in Genetic Programming
YunZhang.html
MengjieZhang.html
http___www.mcs.vuw.ac.nz__mengjie_papers_yun-meng-apwgp04.pdf http://www.mcs.vuw.ac.nz/~mengjie/papers/yun-meng-apwgp04.pdf
journals/jdcta/ZhangDC10 QSPR Study Of Mineral Crystal Lattice Energy Based On Gene Expression Programming
YuntaoZhang.html
WenbinDai.html
ZhengjunCheng.html
http___www.aicit.org_jdcta_ppl_Binder9_Part3.pdf http://www.aicit.org/jdcta/ppl/Binder9_Part3.pdf
Zhang:2007:cec Immune Genetic Programming Based on Register-Stack Structure
ZemingZhang.html
WenjianLuo.html
XufaWang.html
http___dx.doi.org_10.1109_CEC.2007.4424959 http://dx.doi.org/10.1109/CEC.2007.4424959
ZHANG:2016:Biosystems Characterization and classification of adherent cells in monolayer culture using automated tracking and evolutionary algorithms
ZhenZhang.html
MatthewBedder.html
StephenLSmith.html
DawnWalker.html
SaqibShabir.html
JenniferSouthgate.html
http___dx.doi.org_10.1016_j.biosystems.2016.05.009 http://dx.doi.org/10.1016/j.biosystems.2016.05.009
http___www.sciencedirect.com_science_article_pii_S0303264716300727 http://www.sciencedirect.com/science/article/pii/S0303264716300727
Zhen_Zhang:thesis The application of evolutionary computation towards the characterization and classification of urothelium cell cultures
ZhenZhang.html
https___etheses.whiterose.ac.uk_26924_ https://etheses.whiterose.ac.uk/26924/
https___etheses.whiterose.ac.uk_26924_1_Examined_20Thesis.pdf https://etheses.whiterose.ac.uk/26924/1/Examined%20Thesis.pdf
Zhang:2008:WCICA Genetic Programming based Fuzzy Mapping Function Model for fault diagnosis of power transformers
ZhengZhang.html
KanglingFang.html
WeihuaHuang.html
http___dx.doi.org_10.1109_WCICA.2008.4593092 http://dx.doi.org/10.1109/WCICA.2008.4593092
Zhang:2010:ICINIS A Genetic Programming Based Fuzzy Model for Fault Diagnosis of Power Transformers
ZhengZhang.html
KanglingFang.html
WeihuaHuang.html
http___dx.doi.org_10.1109_ICINIS.2010.154 http://dx.doi.org/10.1109/ICINIS.2010.154
Zhang:2019:ICISCAE A Linear-in-Parameters Genetic Programming Method for Chemical Kinetics System Identification
ZhengfengZhang.html
YanZhou.html
http___dx.doi.org_10.1109_ICISCAE48440.2019.221611 http://dx.doi.org/10.1109/ICISCAE48440.2019.221611
ZHANG:2020:JSSC Studies on effect of Ca-doping on structure and electrochemical properties of garnet-type Y3-xCaxFe5O12-o
ZheyuZhang.html
KalpanaSingh.html
YoedTsur.html
JigangZhou.html
JamesJDynes.html
VenkataramanThangadurai.html
http___www.sciencedirect.com_science_article_pii_S0022459620303601 http://www.sciencedirect.com/science/article/pii/S0022459620303601
http___dx.doi.org_10.1016_j.jssc.2020.121530 http://dx.doi.org/10.1016/j.jssc.2020.121530
ICNC:2008:ICNC Evolutionary Design of Combinational Circuits Based on an Embryo Circuit Module
ZhimeiZhang.html
ShuangQiao.html
ChunjuLi.html
HonggangWang.html
YaoLi.html
LiyingCheng.html
http___dx.doi.org_10.1109_ICNC.2008.585 http://dx.doi.org/10.1109/ICNC.2008.585
Yang_Zhang:PD Early Warning of Incipient Faults for Power Transformer Based on DGA Using a Two-Stage Feature Extraction Technique
YangZhang.html
HongCaiChen.html
YaPingDu.html
MinChen2.html
JieLiang.html
JianhongLi.html
XiqingFan.html
LingSun.html
QingshaSCheng.html
XinYao.html
http___dx.doi.org_10.1109_TPWRD.2021.3103455 http://dx.doi.org/10.1109/TPWRD.2021.3103455
Zhang:2022:GI Leveraging Fuzzy System to Reduce Uncertainty of Decision Making in Software Engineering Automation
YuekeZhang.html
YuHuang.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_gecco2022_gi2022_papers_Zhang_2022_GI.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/gecco2022/gi2022/papers/Zhang_2022_GI.pdf
http___dx.doi.org_10.1145_3520304.3533991 http://dx.doi.org/10.1145/3520304.3533991
http___geneticimprovementofsoftware.com_slides_gi2022gecco_zhang-leveraging-fuzzy-system-gi-gecco-22.pdf http://geneticimprovementofsoftware.com/slides/gi2022gecco/zhang-leveraging-fuzzy-system-gi-gecco-22.pdf
https___www.youtube.com_watch_v_xwD_f_YOBn8_list_PLI8fiFpB7BoIHgl5CsdtjfWvHlE5N6pje_index_8 https://www.youtube.com/watch?v=xwD_f_YOBn8&list=PLI8fiFpB7BoIHgl5CsdtjfWvHlE5N6pje&index=8
ZHANG:2021:ASC A robust MILP and gene expression programming based on heuristic rules for mixed-model multi-manned assembly line balancing
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QiuhuaTang.html
ManuelChicaSerrano.html
http___dx.doi.org_10.1016_j.asoc.2021.107513 http://dx.doi.org/10.1016/j.asoc.2021.107513
https___www.sciencedirect.com_science_article_pii_S1568494621004361 https://www.sciencedirect.com/science/article/pii/S1568494621004361
Zhao:2010:ICACC Analyze long \& mid-term trends of stock with Genetic Programming on moving average and turning points
ErboZhao.html
ZhangangHan.html
http___dx.doi.org_10.1109_ICACC.2010.5486744 http://dx.doi.org/10.1109/ICACC.2010.5486744
Zhao:2011:ICCSNT Optimization research on Artificial Neural network Model
HuanpingZhao.html
CongyingLv.html
XinfengYang.html
http___dx.doi.org_10.1109_ICCSNT.2011.6182301 http://dx.doi.org/10.1109/ICCSNT.2011.6182301
Zhao:2007:DSS A multi-objective genetic programming approach to developing Pareto optimal decision trees
HuiminZhao.html
http___dx.doi.org_10.1016_j.dss.2006.12.011 http://dx.doi.org/10.1016/j.dss.2006.12.011
oai:arXiv.org:1412.5710 Multiobjective Optimization of Classifiers by Means of 3-D Convex Hull Based Evolutionary Algorithm
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VitorBasto-Fernandes.html
LichengJiao.html
IrynaYevseyeva.html
AsepMaulana.html
RuiLi.html
ThomasBack.html
MichaelEmmerich.html
http___arxiv.org_abs_1412.5710 http://arxiv.org/abs/1412.5710
Zhao:2016:IS Multiobjective Optimization of Classifiers by Means of 3D Convex-Hull-Based Evolutionary Algorithms
JiaqiZhao.html
VitorBasto-Fernandes.html
LichengJiao.html
IrynaYevseyeva.html
AsepMaulana.html
RuiLi.html
ThomasBack.html
KeTang.html
MichaelEmmerich.html
http___dx.doi.org_10.1016_j.ins.2016.05.026 http://dx.doi.org/10.1016/j.ins.2016.05.026
http___www.sciencedirect.com_science_article_pii_S0020025516303504 http://www.sciencedirect.com/science/article/pii/S0020025516303504
DBLP:journals/sp/Zhao21b Art Visual Image Transmission Method Based on Cartesian Genetic Programming
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https___doi.org_10.1155_2021_4628563 https://doi.org/10.1155/2021/4628563
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https___dblp.org_rec_journals_sp_Zhao21b.bib https://dblp.org/rec/journals/sp/Zhao21b.bib
zhao:1996:eec Emotional Expression Classification by Genetic Programming
JunZhao.html
GarrettKearney.html
AlanSoper.html
Zhao:1997:cprs ``Chromosone-Protein'': A Representation Scheme
KaiZhao.html
JueWang.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_gp1997_Zhao_1997_cprs.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/gp1997/Zhao_1997_cprs.pdf
zhao:1998:ppcaecps Path Planning in Computer Animation Employing Chromosome-Protein Scheme
KaiZhao.html
JueWang.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_gp1998_zhao_1998_ppcaecps.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/gp1998/zhao_1998_ppcaecps.pdf
zhao:2000:mrccGP Multi-robot cooperation and competition with genetic programming
KaiZhao.html
JueWang.html
http___dx.doi.org_10.1007_978-3-540-46239-2_27 http://dx.doi.org/10.1007/978-3-540-46239-2_27
journals/ijcat/ZhaoW12 A multiple camera coordination method based on genetic programming and material character
LiZhao.html
LeiWang.html
http___dx.doi.org_10.1504_IJCAT.2012.047160 http://dx.doi.org/10.1504/IJCAT.2012.047160
Zhao2012945 Hoeffding bound based evolutionary algorithm for symbolic regression
LiZhao.html
LeiWang.html
Du-WuCui.html
http___dx.doi.org_10.1016_j.engappai.2012.04.005 http://dx.doi.org/10.1016/j.engappai.2012.04.005
http___www.sciencedirect.com_science_article_pii_S0952197612000930 http://www.sciencedirect.com/science/article/pii/S0952197612000930
Zhao:2014:IJWMC Building equivalent circuit models of lithium-ion battery by means of genetic programming
LiZhao.html
Wan-KeCao.html
Yu-TaoHe.html
http___www.inderscience.com_link.php_id_62005 http://www.inderscience.com/link.php?id=62005
http___dx.doi.org_10.1504_IJWMC.2014.062005 http://dx.doi.org/10.1504/IJWMC.2014.062005
Zhao:2022:AM Genetic programming-assisted micromechanical models of graphene origami-enabled metal metamaterials
ShaoyuZhao.html
YingyanZhang.html
YiheZhang.html
WeiZhang2.html
JieYang.html
SritawatKitipornchai.html
https___www.sciencedirect.com_science_article_pii_S1359645422001781 https://www.sciencedirect.com/science/article/pii/S1359645422001781
http___dx.doi.org_10.1016_j.actamat.2022.117791 http://dx.doi.org/10.1016/j.actamat.2022.117791
Zhao:thesis Nanocomposites Reinforced with 3D Graphene: From Atomistic Simulation to Continuum Modelling
ShaoyuZhao.html
https___espace.library.uq.edu.au_data_UQ_103ab80_s4560118_phd_thesis.pdf https://espace.library.uq.edu.au/data/UQ_103ab80/s4560118_phd_thesis.pdf
Zhao:2020:IINF A Composite Failure Precursor for Condition Monitoring and Remaining Useful Life Prediction of Discrete Power Devices
ShuaiZhao.html
ShaoweiChen.html
FeiYang.html
EnesUgur.html
BilalAkin.html
HuaiWang.html
http___dx.doi.org_10.1109_TII.2020.2991454 http://dx.doi.org/10.1109/TII.2020.2991454
WeiDongZhao:2011:CIS Simplified Business Process Model Mining Based on Structuredness Metric
WeiDongZhao.html
XiLiu.html
AnhuaWang.html
http___dx.doi.org_10.1109_CIS.2011.303 http://dx.doi.org/10.1109/CIS.2011.303
oai:pubmedcentral.nih.gov:3926309 Simplified Process Model Discovery Based on Role-Oriented Genetic Mining
WeiDongZhao.html
XiLiu.html
WeihuiDai.html
http___www.ncbi.nlm.nih.gov_pmc_articles_PMC3926309 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3926309
http___www.ncbi.nlm.nih.gov_pubmed_24616618 http://www.ncbi.nlm.nih.gov/pubmed/24616618
http___dx.doi.org_10.1155_2014_298592 http://dx.doi.org/10.1155/2014/298592
Zhao:2022:SSCI A Deep Reinforcement Learning Approach for Resource-Constrained Project Scheduling
XiaohanZhao.html
WenSong.html
QiqiangLi.html
HuadongShi.html
ZhichaoKang.html
ChunmeiZhang.html
http___dx.doi.org_10.1109_SSCI51031.2022.10022122 http://dx.doi.org/10.1109/SSCI51031.2022.10022122
journals/ijon/ZhaoYGC14 Multi-contour registration based on feature points correspondence and two-stage gene expression programming
XiuyangZhao.html
BoYang.html
ShumingGao.html
YuehuiChen.html
http___dx.doi.org_10.1016_j.neucom.2014.05.002 http://dx.doi.org/10.1016/j.neucom.2014.05.002
Zhao:2010:CiSE Study on Impact Factor of Sci-Tech Journal in China Using Genetic Programming
YongxiangZhao.html
MeifangLi.html
http___dx.doi.org_10.1109_CISE.2010.5677270 http://dx.doi.org/10.1109/CISE.2010.5677270
Zhao:2017:GPTP Evolution of Space-Partitioning Forest for Anomaly Detection
ZhiruoZhao.html
StuCard.html
KishanGMehrotra.html
ChilukuriKMohan.html
https___link.springer.com_chapter_10.1007_978-3-319-90512-9_11 https://link.springer.com/chapter/10.1007/978-3-319-90512-9_11
http___dx.doi.org_10.1007_978-3-319-90512-9_11 http://dx.doi.org/10.1007/978-3-319-90512-9_11
Zhao:2017:thesis Ensemble Methods for Anomaly Detection
ZhiruoZhao.html
https___surface.syr.edu_etd_817_ https://surface.syr.edu/etd/817/
ZHAO:2022:ast Vibrational characteristics of functionally graded graphene origami-enabled auxetic metamaterial beams based on machine learning assisted models
ShaoyuZhao.html
YingyanZhang.html
YiheZhang.html
JieYang.html
SritawatKitipornchai.html
http___dx.doi.org_10.1016_j.ast.2022.107906 http://dx.doi.org/10.1016/j.ast.2022.107906
https___www.sciencedirect.com_science_article_pii_S1270963822005806 https://www.sciencedirect.com/science/article/pii/S1270963822005806
ZHAO:2022:tws A functionally graded auxetic metamaterial beam with tunable nonlinear free vibration characteristics via graphene origami
ShaoyuZhao.html
YingyanZhang.html
YiheZhang.html
JieYang.html
SritawatKitipornchai.html
http___dx.doi.org_10.1016_j.tws.2022.109997 http://dx.doi.org/10.1016/j.tws.2022.109997
https___www.sciencedirect.com_science_article_pii_S0263823122005961 https://www.sciencedirect.com/science/article/pii/S0263823122005961
ZHAO:2022:engstruct Functionally graded graphene origami-enabled auxetic metamaterial beams with tunable buckling and postbuckling resistance
ShaoyuZhao.html
YingyanZhang.html
HelongWu.html
YiheZhang.html
JieYang.html
http___dx.doi.org_10.1016_j.engstruct.2022.114763 http://dx.doi.org/10.1016/j.engstruct.2022.114763
https___www.sciencedirect.com_science_article_pii_S0141029622008501 https://www.sciencedirect.com/science/article/pii/S0141029622008501
ZHAO:2022:compstruct Tunable nonlinear bending behaviors of functionally graded graphene origami enabled auxetic metamaterial beams
ShaoyuZhao.html
YingyanZhang.html
HelongWu.html
YiheZhang.html
JieYang.html
SritawatKitipornchai.html
http___dx.doi.org_10.1016_j.compstruct.2022.116222 http://dx.doi.org/10.1016/j.compstruct.2022.116222
https___www.sciencedirect.com_science_article_pii_S0263822322009540 https://www.sciencedirect.com/science/article/pii/S0263822322009540
ZHAO:2022:euromechsol Buckling of functionally graded hydrogen-functionalized graphene reinforced beams based on machine learning-assisted micromechanics models
ShaoyuZhao.html
YingyanZhang.html
YiheZhang.html
WeiZhang.html
JieYang.html
SritawatKitipornchai.html
http___dx.doi.org_10.1016_j.euromechsol.2022.104675 http://dx.doi.org/10.1016/j.euromechsol.2022.104675
https___www.sciencedirect.com_science_article_pii_S0997753822001346 https://www.sciencedirect.com/science/article/pii/S0997753822001346
zhao:2022:JMSE Using an Adaptive Neuro-Fuzzy Inference System to Predict Dilution Characteristics of Vertical Buoyant Jets Subjected to Lateral Confinement
YufengZhao.html
JunshiHe.html
XiaohuiYan.html
JianweiLiu.html
https___www.mdpi.com_2077-1312_10_3_439 https://www.mdpi.com/2077-1312/10/3/439
http___dx.doi.org_10.3390_jmse10030439 http://dx.doi.org/10.3390/jmse10030439
Zheng.QiZhi:thesis Genetic Programming based Structure Optimisation
QiZhiZheng.html
http___ethos.bl.uk_OrderDetails.do_did_14_uin_uk.bl.ethos.417724 http://ethos.bl.uk/OrderDetails.do?did=14&uin=uk.bl.ethos.417724
Zheng:2014:OC Research on non-uniform strain profile reconstruction along fiber Bragg grating via genetic programming algorithm and interrelated experimental verification
ShijieZheng.html
NanZhang.html
YanjunXia.html
HongtaoWang.html
http___dx.doi.org_10.1016_j.optcom.2013.11.027 http://dx.doi.org/10.1016/j.optcom.2013.11.027
http___www.sciencedirect.com_science_article_pii_S0030401813011024 http://www.sciencedirect.com/science/article/pii/S0030401813011024
Zheng:Reliability Adaptive Two-Stage Model for Bearing Remaining Useful Life Prediction Using Gaussian Process Regression With Matched Kernels
XinyuZheng.html
WeiFan.html
ChaoChen.html
ZhikePeng.html
http___dx.doi.org_10.1109_TR.2024.3359212 http://dx.doi.org/10.1109/TR.2024.3359212
Zheng:2016:ACIT-CSII-BCD Issues with Path Representation in Transition Systems
YiZheng.html
PeiHe.html
Chi-ChangChang.html
YafenLiu.html
http___dx.doi.org_10.1109_ACIT-CSII-BCD.2016.052 http://dx.doi.org/10.1109/ACIT-CSII-BCD.2016.052
journals/itc/ZhengJC12 Multi-Objective Gene Expression Programming for Clustering
YifeiZheng.html
LixinJia.html
HuiCao.html
http___dx.doi.org_10.5755_j01.itc.41.3.1330 http://dx.doi.org/10.5755/j01.itc.41.3.1330
http___www.itc.ktu.lt_index.php_ITC_article_view_1330 http://www.itc.ktu.lt/index.php/ITC/article/view/1330
http___dx.doi.org_10.5755_j01.itc.41.3.1330 http://dx.doi.org/10.5755/j01.itc.41.3.1330
conf/ibica/ZhiYYWZGZ17 Reverse Extraction of Early-Age Hydration Kinetic Equation of Portland Cement Using Gene Expression Programming with Similarity Weight Tournament Selection
MengfanZhi.html
ZiqiangYu.html
BoYang.html
LinWang.html
LiangliangZhang.html
JifengGuo.html
XuehuiZhu.html
http___dx.doi.org_10.1007_978-3-319-76354-5_13 http://dx.doi.org/10.1007/978-3-319-76354-5_13
Zhong:2022:GI Py2Cy: A Genetic Improvement Tool To Speed Up Python
JamesZhong.html
MaxHort.html
FedericaSarro.html
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http___dx.doi.org_10.1145_3520304.3534037 http://dx.doi.org/10.1145/3520304.3534037
http___geneticimprovementofsoftware.com_slides_gi2022gecco_zhong-py2cy-gi-gecco-22.pdf http://geneticimprovementofsoftware.com/slides/gi2022gecco/zhong-py2cy-gi-gecco-22.pdf
https___github.com_SOLAR-group_Py2Cy https://github.com/SOLAR-group/Py2Cy
https___www.youtube.com_watch_v_eC39t5coXIE_list_PLI8fiFpB7BoIHgl5CsdtjfWvHlE5N6pje_index_10 https://www.youtube.com/watch?v=eC39t5coXIE&list=PLI8fiFpB7BoIHgl5CsdtjfWvHlE5N6pje&index=10
oai:biomedcentral.com:1471-2164-14-S4-S7 Prediction of essential proteins based on gene expression programming
JianchengZhong.html
JianxinWang.html
WeiPeng.html
ZhenZhang.html
YiPan.html
http___www.biomedcentral.com_1471-2164_14_S4_S7 http://www.biomedcentral.com/1471-2164/14/S4/S7
Zhong:2014:AAMAS Automatic Rule Identification for Agent-Based Crowd Models Through Gene Expression Programming
JinghuiZhong.html
LinboLuo.html
WentongCai.html
MichaelLees.html
http___aamas2014.lip6.fr_proceedings_aamas_p1125.pdf http://aamas2014.lip6.fr/proceedings/aamas/p1125.pdf
Zhong:2015:WSC Crowd evacuation planning using Cartesian Genetic Programming and agent-based crowd modeling
JinghuiZhong.html
WentongCai.html
LinboLuo.html
http___ieeexplore.ieee.org_xpl_articleDetails.jsp_arnumber_7408158 http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7408158
http___dx.doi.org_10.1109_WSC.2015.7408158 http://dx.doi.org/10.1109/WSC.2015.7408158
Zhong:2015:ieeeTEC Self-Learning Gene Expression Programming
JinghuiZhong.html
Yew-SoonOng.html
WentongCai.html
http___dx.doi.org_10.1109_TEVC.2015.2424410 http://dx.doi.org/10.1109/TEVC.2015.2424410
Zhong:2017:ASC Automatic model construction for the behavior of human crowds
JinghuiZhong.html
WentongCai.html
MichaelLees.html
LinboLuo.html
http___dx.doi.org_10.1016_j.asoc.2017.03.020 http://dx.doi.org/10.1016/j.asoc.2017.03.020
http___www.sciencedirect.com_science_article_pii_S1568494617301448 http://www.sciencedirect.com/science/article/pii/S1568494617301448
journals/cim/ZhongFO17 Gene Expression Programming: A Survey [Review Article]
JinghuiZhong.html
LiangFeng.html
Yew-SoonOng.html
http___dx.doi.org_10.1109_MCI.2017.2708618 http://dx.doi.org/10.1109/MCI.2017.2708618
Zhong:ieeeTSMC Multifactorial Genetic Programming for Symbolic Regression Problems
JinghuiZhong.html
LiangFeng.html
WentongCai.html
Yew-SoonOng.html
http___dx.doi.org_10.1109_TSMC.2018.2853719 http://dx.doi.org/10.1109/TSMC.2018.2853719
Zhong:2018:ICONIP A Deep Learning Assisted Gene Expression Programming Framework for Symbolic Regression Problems
JinghuiZhong.html
YusenLin.html
ChengyuLu.html
ZhixingHuang.html
http___dx.doi.org_10.1007_978-3-030-04239-4_48 http://dx.doi.org/10.1007/978-3-030-04239-4_48
Zhong:2019:CEC A Co-evolutionary Cartesian Genetic Programming with Adaptive Knowledge Transfer
JinghuiZhong.html
LinhaoLi.html
WeiliLiu.html
LiangFeng.html
Xiao-MinHu.html
http___dx.doi.org_10.1109_CEC.2019.8790352 http://dx.doi.org/10.1109/CEC.2019.8790352
Zhong:2020:IJAS A hyper-heuristic framework for lifetime maximization in wireless sensor networks with a mobile sink
JinghuiZhong.html
ZhixingHuang.html
LiangFeng.html
WanDu.html
YingLi.html
http___dx.doi.org_10.1109_JAS.2019.1911846 http://dx.doi.org/10.1109/JAS.2019.1911846
Zhong:2021:SMC A Comparative Analysis of Dimensionality Reduction Methods for Genetic Programming to Solve High-Dimensional Symbolic Regression Problems
LianjieZhong.html
JinghuiZhong.html
ChengyuLu.html
http___dx.doi.org_10.1109_SMC52423.2021.9658595 http://dx.doi.org/10.1109/SMC52423.2021.9658595
DBLP:journals/corr/abs-2102-09039 Spacewalker: Rapid UI Design Exploration Using Lightweight Markup Enhancement and Crowd Genetic Programming
MingyuanZhong.html
GangLi.html
YangLi.html
https___arxiv.org_abs_2102.09039 https://arxiv.org/abs/2102.09039
https___dblp.org_rec_journals_corr_abs-2102-09039.bib https://dblp.org/rec/journals/corr/abs-2102-09039.bib
DBLP:conf/chi/0001L021 Spacewalker: Rapid UI Design Exploration Using Lightweight Markup Enhancement and Crowd Genetic Programming
MingyuanZhong.html
GangLi.html
YangLi.html
https___doi.org_10.1145_3411764.3445326 https://doi.org/10.1145/3411764.3445326
http___dx.doi.org_10.1145_3411764.3445326 http://dx.doi.org/10.1145/3411764.3445326
https___dblp.org_rec_conf_chi_0001L021.bib https://dblp.org/rec/conf/chi/0001L021.bib
Zhou:2019:Information Traveling-Salesman-Problem Algorithm Based on Simulated Annealing and Gene-Expression Programming
Ai-HuaZhou.html
Li-PengZhu.html
BinHu2.html
SongDeng.html
YanSong.html
HongbinQiu.html
SenPan.html
http___dx.doi.org_10.3390_info10010007 http://dx.doi.org/10.3390/info10010007
zhou:2003:GPTP Enhance Emerging Market Stock Selection
AnjunZhou.html
http___www.springer.com_computer_ai_book_978-1-4020-7581-0 http://www.springer.com/computer/ai/book/978-1-4020-7581-0
http___dx.doi.org_10.1007_978-1-4419-8983-3_18 http://dx.doi.org/10.1007/978-1-4419-8983-3_18
Zhou:2002:ICAI Discovery of Classification Rules by Using Gene Expression Programming
ChiZhou.html
PeterCNelson.html
WeiminXiao.html
ThomasMTirpak.html
ChiZhou:2003:TEC Evolving accurate and compact classification rules with gene expression programming
ChiZhou.html
WeiminXiao.html
ThomasMTirpak.html
PeterCNelson.html
http___dx.doi.org_10.1109_TEVC.2003.819261 http://dx.doi.org/10.1109/TEVC.2003.819261
Zhou:2008:cec Time Related Association Rules Mining with Attributes Accumulation Mechanism and its Application to Traffic Prediction
HuiyuZhou.html
WeiWei.html
KaoruShimada.html
ShingoMabu.html
KotaroHirasawa.html
http___dx.doi.org_10.1109_CEC.2008.4630815 http://dx.doi.org/10.1109/CEC.2008.4630815
Zhou:2009:cec Generalized Time Related Sequential Association Rule Mining and Traffic Prediction
HuiyuZhou.html
ShingoMabu.html
KaoruShimada.html
KotaroHirasawa.html
http___dx.doi.org_10.1109_CEC.2009.4983275 http://dx.doi.org/10.1109/CEC.2009.4983275
DBLP:conf/gecco/ZhouMSH09 Backward time related association rule mining in traffic prediction using genetic network programming with database rearrangement
HuiyuZhou.html
ShingoMabu.html
KaoruShimada.html
KotaroHirasawa.html
http___dx.doi.org_10.1145_1569901.1570223 http://dx.doi.org/10.1145/1569901.1570223
HuiyuZhou:thesis Data mining and classification for traffic systems using genetic network programming
HuiyuZhou.html
http___jairo.nii.ac.jp_0069_00020480_en http://jairo.nii.ac.jp/0069/00020480/en
http___dspace.wul.waseda.ac.jp_dspace_bitstream_2065_36316_3_Honbun-5575_00.pdf http://dspace.wul.waseda.ac.jp/dspace/bitstream/2065/36316/3/Honbun-5575_00.pdf
http___dspace.wul.waseda.ac.jp_dspace_bitstream_2065_36316_1_Gaiyo-5575.pdf http://dspace.wul.waseda.ac.jp/dspace/bitstream/2065/36316/1/Gaiyo-5575.pdf
http___dspace.wul.waseda.ac.jp_dspace_bitstream_2065_36316_2_Shinsa-5575.pdf http://dspace.wul.waseda.ac.jp/dspace/bitstream/2065/36316/2/Shinsa-5575.pdf
http___dspace.wul.waseda.ac.jp_dspace_bitstream_2065_36316_4_Honbun-5575_01.pdf http://dspace.wul.waseda.ac.jp/dspace/bitstream/2065/36316/4/Honbun-5575_01.pdf
zhou:2020:BEGE Forecasting of TBM advance rate in hard rock condition based on artificial neural network and genetic programming techniques
JianZhou.html
BehnamYazdaniBejarbaneh.html
DanialJahedArmaghani.html
MahmoodMDTahir.html
http___link.springer.com_article_10.1007_s10064-019-01626-8 http://link.springer.com/article/10.1007/s10064-019-01626-8
http___dx.doi.org_10.1007_s10064-019-01626-8 http://dx.doi.org/10.1007/s10064-019-01626-8
zhou:2005:CEC Elevator Group Supervisory Control System Using Genetic Network Programming with Reinforcement Learning
JinZhou.html
ToruEguchi.html
KotaroHirasawa.html
JingluHu.html
SandorMarkon.html
http___dx.doi.org_10.1109_CEC.2005.1554703 http://dx.doi.org/10.1109/CEC.2005.1554703
Zhou2:2008:cec Double-Deck Elevator Systems Adaptive to Traffic Flows Using Genetic Network Programming
JinZhou.html
LuYu.html
ShingoMabu.html
KaoruShimada.html
KotaroHirasawa.html
SandorMarkon.html
http___dx.doi.org_10.1109_CEC.2008.4630883 http://dx.doi.org/10.1109/CEC.2008.4630883
JinZhou:thesis Study on Genetic Network Programming-based Controllers of Elevator Group Systems
JinZhou.html
http___jairo.nii.ac.jp_0069_00019152_en http://jairo.nii.ac.jp/0069/00019152/en
http___dspace.wul.waseda.ac.jp_dspace_bitstream_2065_34740_3_Honbun-5081.pdf http://dspace.wul.waseda.ac.jp/dspace/bitstream/2065/34740/3/Honbun-5081.pdf
http___dspace.wul.waseda.ac.jp_dspace_bitstream_2065_34740_1_Gaiyo-5081.pdf http://dspace.wul.waseda.ac.jp/dspace/bitstream/2065/34740/1/Gaiyo-5081.pdf
http___dspace.wul.waseda.ac.jp_dspace_bitstream_2065_34740_2_Shinsa-5081.pdf http://dspace.wul.waseda.ac.jp/dspace/bitstream/2065/34740/2/Shinsa-5081.pdf
Zhou:2019:TTE A Method for Hot-Spot Temperature Prediction and Thermal Capacity Estimation for Traction Transformers in High-Speed Railway Based on Genetic Programming
LijunZhou.html
JianWang.html
LujiaWang.html
ShuaiYuan.html
LinHuang.html
DongyangWang.html
LeiGuo.html
http___dx.doi.org_10.1109_TTE.2019.2948039 http://dx.doi.org/10.1109/TTE.2019.2948039
ZHOU:2022:jwpe Prediction of bisphenol A contamination in Canadian municipal wastewater
PengxiaoZhou.html
ZhongLi.html
WaelEl-Dakhakhni.html
ShirleyAnneSmyth.html
http___dx.doi.org_10.1016_j.jwpe.2022.103304 http://dx.doi.org/10.1016/j.jwpe.2022.103304
https___www.sciencedirect.com_science_article_pii_S2214714422007486 https://www.sciencedirect.com/science/article/pii/S2214714422007486
zhou:2018:AiMD A Novel Auto Design Method of Acoustic Filter Based on Genetic Programming
QiZhou.html
ChaoqunWu.html
WeijingZhao.html
WeijieHua.html
LinghaoLiu.html
http___link.springer.com_chapter_10.1007_978-981-10-6553-8_45 http://link.springer.com/chapter/10.1007/978-981-10-6553-8_45
http___dx.doi.org_10.1007_978-981-10-6553-8_45 http://dx.doi.org/10.1007/978-981-10-6553-8_45
Zhou:2022:EuroGP Permutation-Invariant Representation of Neural Networks with Neuron Embeddings
RyanZhou.html
ChristianMuise.html
TingHu.html
http___dx.doi.org_10.1007_978-3-031-02056-8_19 http://dx.doi.org/10.1007/978-3-031-02056-8_19
Zhou:2016:Measurement Study of the volumetric water content based on density, suction and initial water content
Wan-Huan_Hanna_Zhou.html
AnkitGarg.html
AkhilGarg.html
http___dx.doi.org_10.1016_j.measurement.2016.08.034 http://dx.doi.org/10.1016/j.measurement.2016.08.034
http___www.sciencedirect.com_science_article_pii_S026322411630495X http://www.sciencedirect.com/science/article/pii/S026322411630495X
bb52076 Integrating Face and Gait for Human Recognition
XiaoliZhou.html
BirBhanu.html
http___dx.doi.org_10.1109_CVPRW.2006.103 http://dx.doi.org/10.1109/CVPRW.2006.103
journals/ijbir/ZhouKT12 Optimizing the Accuracy of Entity-Based Data Integration of Multiple Data Sources Using Genetic Programming Methods
YinleZhou.html
AliKooshesh.html
JohnRTalburt.html
http___dx.doi.org_10.4018_jbir.2012010105 http://dx.doi.org/10.4018/jbir.2012010105
Zhou:IEEEAccess Multi-agent based hyper-heuristics for multi-objective flexible job shop scheduling: A case study in an aero-engine blade manufacturing plant
YongZhou.html
Jian-JunYang.html
Lian-YuZheng.html
http___dx.doi.org_10.1109_ACCESS.2019.2897603 http://dx.doi.org/10.1109/ACCESS.2019.2897603
Zhou:2019:IEEEAccess Hyper-Heuristic Coevolution of Machine Assignment and Job Sequencing Rules for Multi-Objective Dynamic Flexible Job Shop Scheduling
YongZhou.html
Jian-JunYang.html
Lian-YuZheng.html
http___dx.doi.org_10.1109_ACCESS.2018.2883802 http://dx.doi.org/10.1109/ACCESS.2018.2883802
ZHOU:2019:procir Automatic design of scheduling policies for dynamic flexible job shop scheduling by multi-objective genetic programming based hyper-heuristic
YongZhou.html
Jian-JunYang.html
http___dx.doi.org_10.1016_j.procir.2019.02.118 http://dx.doi.org/10.1016/j.procir.2019.02.118
http___www.sciencedirect.com_science_article_pii_S2212827119302355 http://www.sciencedirect.com/science/article/pii/S2212827119302355
Zhou:2020:IJPR Automatic design of scheduling policies for dynamic flexible job shop scheduling via surrogate-assisted cooperative co-evolution genetic programming
YongZhou.html
Jian-JunYang.html
ZhuangHuang.html
http___dx.doi.org_10.1080_00207543.2019.1620362 http://dx.doi.org/10.1080/00207543.2019.1620362
Zhou:2006:WCICA Designing Functional Networks Through Evolutionary Programming
YongquanZhou.html
DongdongWang.html
MingZhang.html
http___dx.doi.org_10.1109_WCICA.2006.1712968 http://dx.doi.org/10.1109/WCICA.2006.1712968
conf/icic/ZhouC07 Genetic Programming with 3sigma Rule for Fault Detection
YongquanZhou.html
DongyongChen.html
http___dx.doi.org_10.1007_978-3-540-74282-1_61 http://dx.doi.org/10.1007/978-3-540-74282-1_61
Zhou:CYB A Novel Multiobjective Genetic Programming Approach to High-Dimensional Data Classification
YuZhou.html
NanjianYang.html
XingyueHuang.html
JaesungLee.html
SamKwong.html
http___dx.doi.org_10.1109_TCYB.2024.3372070 http://dx.doi.org/10.1109/TCYB.2024.3372070
zhou:2006:JOUC A high precision comprehensive evaluation method for flood disaster loss based on improved genetic programming
YuliangZhou.html
GuihuaLu.html
JuliangJin.html
FangTong.html
PingZhou.html
http___link.springer.com_article_10.1007_s11802-006-0023-0 http://link.springer.com/article/10.1007/s11802-006-0023-0
http___dx.doi.org_10.1007_s11802-006-0023-0 http://dx.doi.org/10.1007/s11802-006-0023-0
ZHOU:2023:infrared EBM3GP: A novel evolutionary bi-objective genetic programming for dimensionality reduction in classification of hyperspectral data
ZhengZhou.html
YuYang.html
GanZhang.html
LibingXu.html
MingqingWang.html
http___dx.doi.org_10.1016_j.infrared.2023.104577 http://dx.doi.org/10.1016/j.infrared.2023.104577
https___www.sciencedirect.com_science_article_pii_S135044952300035X https://www.sciencedirect.com/science/article/pii/S135044952300035X
Zhou:2019:book.ch9 Representation
Zhi-HuaZhou.html
YangYu2.html
ChaoQian.html
http___dx.doi.org_10.1007_978-981-13-5956-9_9 http://dx.doi.org/10.1007/978-981-13-5956-9_9
Zhou:2023:EuroGP A Boosting Approach to Constructing an Ensemble Stack
ZhileiZhou.html
ZiyuQiu.html
BradNiblett.html
AndrewJohnston.html
JeffreySchwartzentruber.html
NurZincir-Heywood.html
MalcolmHeywood.html
https___arxiv.org_abs_2211.15621 https://arxiv.org/abs/2211.15621
https___rdcu.be_c8USt https://rdcu.be/c8USt
http___dx.doi.org_10.1007_978-3-031-29573-7_9 http://dx.doi.org/10.1007/978-3-031-29573-7_9
Zhou:2024:evoapplications Simple Efficient Evolutionary Ensemble Learning on Network Intrusion Detection Benchmarks
ZhileiZhou.html
NurZincir-Heywood.html
MalcolmHeywood.html
https___rdcu.be_dDZWe https://rdcu.be/dDZWe
http___dx.doi.org_10.1007_978-3-031-56852-7_23 http://dx.doi.org/10.1007/978-3-031-56852-7_23
zhu:2001:tesaec Towards Evolution of Software Agents in Electronic Commerce
FangmingZhu.html
Sheng-UeiGuan.html
http___dx.doi.org_10.1109_CEC.2001.934341 http://dx.doi.org/10.1109/CEC.2001.934341
Zhu:2010:ICCDA Based on meteorological factors and short-term load forecasting genetic programming
Huan-rongZhu.html
Ya-MinLi.html
LameiMeng.html
http___dx.doi.org_10.1109_ICCDA.2010.5541318 http://dx.doi.org/10.1109/ICCDA.2010.5541318
Zhu:2009:cec Adaptive Combinational Logic Circuits Based on Intrinsic Evolvable Hardware
JixiangZhu.html
YuanxiangLi.html
WeiZhang.html
XuewenXia.html
XingXu.html
http___dx.doi.org_10.1109_CEC.2009.4983323 http://dx.doi.org/10.1109/CEC.2009.4983323
ZHU:2021:KBS A decomposition-based multi-objective genetic programming hyper-heuristic approach for the multi-skill resource constrained project scheduling problem
LeiZhu.html
JianLin.html
Yang-YuanLi.html
Zhou-JingWang.html
http___dx.doi.org_10.1016_j.knosys.2021.107099 http://dx.doi.org/10.1016/j.knosys.2021.107099
https___www.sciencedirect.com_science_article_pii_S0950705121003622 https://www.sciencedirect.com/science/article/pii/S0950705121003622
ZHU:2023:cie Surgical cases assignment problem using an efficient genetic programming hyper-heuristic
LeiZhu.html
YushengZhou.html
ShuhuiSun.html
QiangSu.html
http___dx.doi.org_10.1016_j.cie.2023.109102 http://dx.doi.org/10.1016/j.cie.2023.109102
https___www.sciencedirect.com_science_article_pii_S0360835223001262 https://www.sciencedirect.com/science/article/pii/S0360835223001262
MSU-CSE-13-9 Synthesizing Round Based Fault-Tolerant Programs using Genetic Programming
LingZhu.html
SandeepKulkarni.html
http___www.cse.msu.edu__sandeep_ http://www.cse.msu.edu/~sandeep/
http___www.cse.msu.edu_cgi-user_web_tech_document_ID_1022 http://www.cse.msu.edu/cgi-user/web/tech/document?ID=1022
http___www.cse.msu.edu_publications_tech_TR_MSU-CSE-13-9.ps http://www.cse.msu.edu/publications/tech/TR/MSU-CSE-13-9.ps
conf/sss/ZhuK13 Synthesizing Round Based Fault-Tolerant Programs Using Genetic Programming
LingZhu.html
SandeepKulkarni.html
http___dx.doi.org_10.1007_978-3-319-03089-0 http://dx.doi.org/10.1007/978-3-319-03089-0
http___dx.doi.org_10.1007_978-3-319-03089-0_33 http://dx.doi.org/10.1007/978-3-319-03089-0_33
http___dx.doi.org_10.1007_978-3-319-03089-0_33 http://dx.doi.org/10.1007/978-3-319-03089-0_33
Zhu:2015:ieeeICDCSW Using Genetic Programming to Identify Tradeoffs in Self-Stabilizing Programs: A Case Study
LingZhu.html
SandeepKulkarni.html
http___dx.doi.org_10.1109_ICDCSW.2015.17 http://dx.doi.org/10.1109/ICDCSW.2015.17
Zhu:2015:GECCO Using Model Checking Techniques For Evaluating the Effectiveness of Evolutionary Computing in Synthesis of Distributed Fault-Tolerant Programs
LingZhu.html
SandeepKulkarni.html
http___doi.acm.org_10.1145_2739480.2754779 http://doi.acm.org/10.1145/2739480.2754779
http___dx.doi.org_10.1145_2739480.2754779 http://dx.doi.org/10.1145/2739480.2754779
Ling_Zhu:thesis Using Evolutionary Approach to Optimize and Model Multi-Scenario, Multi-objective Fault-tolerant Problems
LingZhu.html
https___d.lib.msu.edu_etd_6912 https://d.lib.msu.edu/etd/6912
https___d.lib.msu.edu_etd_6912_datastream_OBJ_download_Using_Evolutionary_Approach_to_Optimize_and_Model_Multi-scenario__Multi-objective_Fault-tolerant_Problems.pdf https://d.lib.msu.edu/etd/6912/datastream/OBJ/download/Using_Evolutionary_Approach_to_Optimize_and_Model_Multi-scenario__Multi-objective_Fault-tolerant_Problems.pdf
Zhu:2023:GECCO Sample-Aware Surrogate-Assisted Genetic Programming for Scheduling Heuristics Learning in Dynamic Flexible Job Shop Scheduling
LuyaoZhu.html
FangfangZhang.html
XiaodongZhu.html
KeChen2.html
MengjieZhang.html
http___dx.doi.org_10.1145_3583131.3590440 http://dx.doi.org/10.1145/3583131.3590440
Zhu:2011:ISCID Multivarible Symbolic Regression Based on Gene Expression Programming
MingfangZhu.html
Jian-binZhang.html
Yan-lingRen.html
YuPan.html
Guang-pingZhu.html
http___dx.doi.org_10.1109_ISCID.2011.177 http://dx.doi.org/10.1109/ISCID.2011.177
zhu:2007:jpVL Exploring Heuristics Underlying Pedestrian Shopping Decision Processes An application of Gene Expression Programming
WeiZhu.html
HarryTimmermans.html
http___dx.doi.org_10.1007_978-1-4020-5060-2_8 http://dx.doi.org/10.1007/978-1-4020-5060-2_8
Zhu:2020:CASE A Genetic Programming-Based Evolutionary Approach for Flexible Job Shop Scheduling with Multiple Process Plans
XuedongZhu.html
WeihaoWang.html
XinxingGuo.html
LeyuanShi.html
http___dx.doi.org_10.1109_CASE48305.2020.9216783 http://dx.doi.org/10.1109/CASE48305.2020.9216783
Xuedong_Zhu:ASE A Genetic Programming-Based Iterative Approach for the Integrated Process Planning and Scheduling Problem
XuedongZhu.html
XinxingGuo.html
WeihaoWang.html
JianguoWu.html
http___dx.doi.org_10.1109_TASE.2021.3091610 http://dx.doi.org/10.1109/TASE.2021.3091610
Zhu:2018:arxiv GP-CNAS: Convolutional Neural Network Architecture Search with Genetic Programming
YihengZhu.html
YichenYao.html
ZiliWu.html
YujieChen.html
GuozhengLi.html
HaoyuanHu.html
YinghuiXu.html
http___arxiv.org_abs_1812.07611 http://arxiv.org/abs/1812.07611
Zhu:2017:CODES_ISSS Work-in-progress: alert-and-transfer: an evolutionary architecture for ssd-based storage systems
YueZhu.html
FeiWu.html
QinXiong.html
ChangshengXie.html
http___dx.doi.org_10.1145_3125502.3125536 http://dx.doi.org/10.1145/3125502.3125536
Zhu:2010:MLSP Augmented Genetic Programming for automatic digital modulation classification
ZhechenZhu.html
MuhammadWaqarAslam.html
AsokeKNandi.html
http___dx.doi.org_10.1109_MLSP.2010.5588920 http://dx.doi.org/10.1109/MLSP.2010.5588920
ZhechenZhu:2011:ISSCS Support vector machine assisted genetic programming for MQAM classification
ZhechenZhu.html
MuhammadWaqarAslam.html
AsokeKNandi.html
http___dx.doi.org_10.1109_ISSCS.2011.5978654 http://dx.doi.org/10.1109/ISSCS.2011.5978654
Zhu:2013:MLSP Adapted Geometric Semantic Genetic programming for diabetes and breast cancer classification
ZhechenZhu.html
AsokeKNandi.html
MuhammadWaqarAslam.html
http___dx.doi.org_10.1109_MLSP.2013.6661969 http://dx.doi.org/10.1109/MLSP.2013.6661969
Zhechen_Zhu:thesis Automatic classification of digital communication signal modulations
ZhechenZhu.html
http___bura.brunel.ac.uk_handle_2438_9246 http://bura.brunel.ac.uk/handle/2438/9246
http___bura.brunel.ac.uk_bitstream_2438_9246_1_FulltextThesis.pdf http://bura.brunel.ac.uk/bitstream/2438/9246/1/FulltextThesis.pdf
Zhechen_Zhu:book Automatic Modulation Classification: Principles, Algorithms and Applications
ZhechenZhu.html
AsokeKNandi.html
http___eu.wiley.com_WileyCDA_WileyTitle_productCd-1118906497.html http://eu.wiley.com/WileyCDA/WileyTitle/productCd-1118906497.html
Zid:2020:SBST Double Cycle Hybrid Testing of Hybrid Distributed IoT System
CyrineZid.html
DmytroHumeniuk.html
FoutseKhomh.html
GiulianoAntoniol.html
https___youtu.be_zTSLOF3UP70 https://youtu.be/zTSLOF3UP70
https___doi.org_10.1145_3387940.3392218 https://doi.org/10.1145/3387940.3392218
http___dx.doi.org_10.1145_3387940.3392218 http://dx.doi.org/10.1145/3387940.3392218
ziegler:2000:E Evolving a ``nose'' for a robot
JensZiegler.html
WolfgangBanzhaf.html
http___citeseer.ist.psu.edu_cache_papers_cs_29769_http_zSzzSzls11-www.informatik.uni-dortmund.dezSzpeoplezSzzieglerzSzGECCO2000zSzZB_GECCO.pdf_ziegler00evolving.pdf http://citeseer.ist.psu.edu/cache/papers/cs/29769/http:zSzzSzls11-www.informatik.uni-dortmund.dezSzpeoplezSzzieglerzSzGECCO2000zSzZB_GECCO.pdf/ziegler00evolving.pdf
http___citeseer.ist.psu.edu_ziegler00evolving.html http://citeseer.ist.psu.edu/ziegler00evolving.html
Ziegler:2001:AL Evolving Control Metabolisms for a Robot
JensZiegler.html
WolfgangBanzhaf.html
http___dx.doi.org_10.1162_106454601753138998 http://dx.doi.org/10.1162/106454601753138998
ZieWol01 Constructing a small humanoid walking robot as a platform for the genetic evolution of walking
JensZiegler.html
KristerWolff.html
PeterNordin.html
WolfgangBanzhaf.html
http___fy.chalmers.se__wolff_ZWNB_AMiRE01.pdf http://fy.chalmers.se/~wolff/ZWNB_AMiRE01.pdf
Zie02 On the influence of adaptive operator probabilities in genetic programming
JensZiegler.html
ZBBB02 Automatic evolution of control programs for a small humanoid walking robot
JensZiegler.html
JanBarnholt.html
JensBusch.html
WolfgangBanzhaf.html
ziegler03 Decreasing the Number of Evaluations in Evolutionary Algorithms by using a Meta-Model of the Fitness Function
JensZiegler.html
WolfgangBanzhaf.html
http___dx.doi.org_10.1007_3-540-36599-0_24 http://dx.doi.org/10.1007/3-540-36599-0_24
oai:eldorado:0x00070350 Evolution von Laufrobotersteuerungen mit Genetischer Programmierung
JensZiegler.html
http___hdl.handle.net_2003_2743 http://hdl.handle.net/2003/2743
https___eldorado.uni-dortmund.de_bitstream_2003_2743_1_Zieglerunt.pdf https://eldorado.uni-dortmund.de/bitstream/2003/2743/1/Zieglerunt.pdf
DT_ICSES Design Tolerancing with Utilization of Gene Expression Programming and Genetic Algorithm
LukaszZielinski.html
JerzyRutkowski.html
http___www.funzone.pl_Articles_DT_ICSES.pdf http://www.funzone.pl/Articles/DT_ICSES.pdf
Ziemeck:1997:vcGENCODER Evolving low-level Vision Capabilities with the GENCODER Genetic Programming Environment
PatrickZiemeck.html
HelgeRitter.html
http___dx.doi.org_10.1007_978-3-7091-6492-1_17 http://dx.doi.org/10.1007/978-3-7091-6492-1_17
Zille:2021:GECCOcomp Unit-aware Multi-objective Genetic Programming for the Prediction of the Stokes Flow around a Sphere
HeinerZille.html
FabienEvrard.html
SanazMostaghim.html
BerendvanWachem.html
https___www.is.ovgu.de_is_media_Research_Publications_Gecco2021_UnitAwareGeneticProgramming_Zille-download-1.pdf https://www.is.ovgu.de/is_media/Research/Publications/Gecco2021_UnitAwareGeneticProgramming_Zille-download-1.pdf
http___dx.doi.org_10.1145_3449726.3459408 http://dx.doi.org/10.1145/3449726.3459408
Zils:2003:DAFx Extracting automatically the perceived intensity of music titles
AymericZils.html
FrancoisPachet.html
http___www.eecs.qmul.ac.uk_legacy_dafx03_ http://www.eecs.qmul.ac.uk/legacy/dafx03/
http___www.eecs.qmul.ac.uk_legacy_dafx03_proceedings_pdfs_dafx47.pdf http://www.eecs.qmul.ac.uk/legacy/dafx03/proceedings/pdfs/dafx47.pdf
zils-04b Extraction de descripteurs musicaux: une approche evolutionniste
AymericZils.html
https___www.csl.sony.fr_downloads_papers_2004_zils-04b.pdf https://www.csl.sony.fr/downloads/papers/2004/zils-04b.pdf
Zimmerman:1993:MSSP A Darwinian approach to the actuator number and placement problem with non-negligible actuator mass
DavidCZimmerman.html
http___www.sciencedirect.com_science_article_B6WN1-45P695X-P_2_f57ddb902c8f69ea01737429863c4277 http://www.sciencedirect.com/science/article/B6WN1-45P695X-P/2/f57ddb902c8f69ea01737429863c4277
WESC05 Proceedings of the first International Workshop of Engineering Service Compositions, WESC'05
ChristianZirpins.html
GuadalupeOrtiz.html
WinfriedLamersdorf.html
WolfgangEmmerich.html
http___domino.research.ibm.com_library_cyberdig.nsf_papers_DE71563B7B69D362852570D000548D0D__File_rc23821.pdf http://domino.research.ibm.com/library/cyberdig.nsf/papers/DE71563B7B69D362852570D000548D0D/$File/rc23821.pdf
zitzler:1999:EABESSDSP Evolutionary Algorithm Based Exploration of Software Schedules for Digital Signal Processors
EckartZitzler.html
JurgenTeich.html
ShuvraSBhattacharyya.html
http___gpbib.cs.ucl.ac.uk_gecco1999_RW-724.pdf http://gpbib.cs.ucl.ac.uk/gecco1999/RW-724.pdf
http___gpbib.cs.ucl.ac.uk_gecco1999_RW-724.ps http://gpbib.cs.ucl.ac.uk/gecco1999/RW-724.ps
http___www12.informatik.uni-erlangen.de_publications_pub1999_ZTB99a.ps.gz http://www12.informatik.uni-erlangen.de/publications/pub1999/ZTB99a.ps.gz
Zmuda:2003:ASC Hybrid evolutionary learning for synthesizing multi-class pattern recognition systems
MichaelAZmuda.html
MateenMRizki.html
LouisATamburino.html
http___www.sciencedirect.com_science_article_B6W86-47DT5VK-2_2_2d9804998b4546170ea1fb3a60909666 http://www.sciencedirect.com/science/article/B6W86-47DT5VK-2/2/2d9804998b4546170ea1fb3a60909666
http___dx.doi.org_10.1016_S1568-4946_02_00060-1 http://dx.doi.org/10.1016/S1568-4946(02)00060-1
Zohara:2005:E Prediction of maintenance of sinus rhythm after electrical cardioversion of atrial fibrillation by non-deterministic modelling
PetraZohara.html
MihaKovacic.html
MiranBrezocnik.html
MPodbregar.html
http___dx.doi.org_10.1016_j.eupc.2005.04.007 http://dx.doi.org/10.1016/j.eupc.2005.04.007
Zojaji:2016:aplint Semantic schema theory for genetic programming
ZahraZojaji.html
MohammadMehdiEbadzadeh.html
https___rdcu.be_cImfy https://rdcu.be/cImfy
http___dx.doi.org_10.1007_s10489-015-0696-4 http://dx.doi.org/10.1007/s10489-015-0696-4
Zojaji:2016:AI Automated program repair using genetic programming and model checking
ZahraZojaji.html
BehrouzTorkLadani.html
AlirezaKhalilian.html
http___dx.doi.org_10.1007_s10489-016-0804-0 http://dx.doi.org/10.1007/s10489-016-0804-0
http___dx.doi.org_10.1007_s10489-016-0804-0 http://dx.doi.org/10.1007/s10489-016-0804-0
zojaji_thesis Improving The Performance of Genetic Programming Through Developing Fitness-based Schema Theory
ZahraZojaji.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_ftp_papers_zojaji_thesis.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/zojaji_thesis.pdf
Zojaji:2018:SC An improved semantic schema modeling for genetic programming
ZahraZojaji.html
MohammadMehdiEbadzadeh.html
https___doi.org_10.1007_s00500-017-2781-6 https://doi.org/10.1007/s00500-017-2781-6
http___dx.doi.org_10.1007_s00500-017-2781-6 http://dx.doi.org/10.1007/s00500-017-2781-6
Zojaji:2018:AI Semantic schema modeling for genetic programming using clustering of building blocks
ZahraZojaji.html
MohammadMehdiEbadzadeh.html
https___doi.org_10.1007_s10489-017-1052-7 https://doi.org/10.1007/s10489-017-1052-7
http___dx.doi.org_10.1007_s10489-017-1052-7 http://dx.doi.org/10.1007/s10489-017-1052-7
Zojaji:2022:ASC Semantic schema based genetic programming for symbolic regression
ZahraZojaji.html
MohammadMehdiEbadzadeh.html
HamidNasiri.html
http___dx.doi.org_10.1016_j.asoc.2022.108825 http://dx.doi.org/10.1016/j.asoc.2022.108825
zomorodian:1994: Context-Free Language Induction by Evolution of Deterministic Push-Down Automata Using Genetic Programming
AfraZomorodian.html
zomorodian:1995:cfli Context-Free Language Induction by Evolution of Deterministic Push-Down Automata Using Genetic Programming
AfraZomorodian.html
http___www.aaai.org_Papers_Symposia_Fall_1995_FS-95-01_FS95-01-019.pdf http://www.aaai.org/Papers/Symposia/Fall/1995/FS-95-01/FS95-01-019.pdf
http___www.cs.dartmouth.edu__afra_papers_aaai96_aaai96.pdf http://www.cs.dartmouth.edu/~afra/papers/aaai96/aaai96.pdf
http___www.aaai.org_Library_Symposia_Fall_fs95-01.php http://www.aaai.org/Library/Symposia/Fall/fs95-01.php
zonger:1996:lilgp lilgp 1.01 User's Manual
DouglasZongker.html
WilliamFPunch.html
http___citeseer.ist.psu.edu_298727.html http://citeseer.ist.psu.edu/298727.html
http___citeseer.ist.psu.edu_cache_papers_cs_14524_ftp_zSzzSzgarage.cps.msu.eduzSzpubzSzGAzSzlilgpzSzlilgp1.02.pdf_lil-gp-user-s.pdf http://citeseer.ist.psu.edu/cache/papers/cs/14524/ftp:zSzzSzgarage.cps.msu.eduzSzpubzSzGAzSzlilgpzSzlilgp1.02.pdf/lil-gp-user-s.pdf
http___garage.cse.msu.edu_software_lil-gp_ http://garage.cse.msu.edu/software/lil-gp/
http___www.genetic-programming.com_c2003lilgpwebpagedarren.html http://www.genetic-programming.com/c2003lilgpwebpagedarren.html
https___www.cosc.brocku.ca_Offerings_5P71_ https://www.cosc.brocku.ca/Offerings/5P71/
Zoppi:2022:CEC Reducing the Number of Training Cases in Genetic Programming
GiacomoZoppi.html
LeonardoVanneschi.html
MarioGiacobini.html
http___dx.doi.org_10.1109_CEC55065.2022.9870327 http://dx.doi.org/10.1109/CEC55065.2022.9870327
DBLP:conf/icse/ZouWXZSM15 A Genetic Algorithm for Detecting Significant Floating-Point Inaccuracies
DamingZou.html
RanWang.html
YingfeiXiong.html
LuZhang.html
ZhendongSu.html
HongMei.html
https___doi.org_10.1109_ICSE.2015.70 https://doi.org/10.1109/ICSE.2015.70
http___dx.doi.org_10.1109_ICSE.2015.70 http://dx.doi.org/10.1109/ICSE.2015.70
https___dblp.org_rec_bib_conf_icse_ZouWXZSM15 https://dblp.org/rec/bib/conf/icse/ZouWXZSM15
bb51319 Human Activity Classification Based on Gait Energy Image and Coevolutionary Genetic Programming
XiaoliZhou.html
BirBhanu.html
http___dx.doi.org_10.1109_ICPR.2006.633 http://dx.doi.org/10.1109/ICPR.2006.633
zowj:2017:CIWSN A Genetic Programming Approach to Cost-Sensitive Control in Wireless Sensor Networks
AfsoonYousefiZowj.html
JoshCBongard.html
ChristianSkalka.html
http___link.springer.com_chapter_10.1007_978-3-319-47715-2_1 http://link.springer.com/chapter/10.1007/978-3-319-47715-2_1
http___dx.doi.org_10.1007_978-3-319-47715-2_1 http://dx.doi.org/10.1007/978-3-319-47715-2_1
Zubi:2010:IJOC Using sequence DNA chips data to Mining and Diagnosing Cancer Patients
ZakariaSulimanZubi.html
MarimAboajelaEmsaed.html
http___www.naun.org_journals_computers_19-437.pdf http://www.naun.org/journals/computers/19-437.pdf
http___www.naun.org_main_NAUN_computers_2010.htm http://www.naun.org/main/NAUN/computers/2010.htm
Zulu:2023:SICE Using Sub-Micron Spiral Microfluidics and Genetic Programming towards Enhancing Urine-based Glucose Analysis
AnaniasCyrusZulu.html
VictorParque.html
MahmoudSoliman.html
AhmedMRFathelbab.html
http___dx.doi.org_10.23919_SICE59929.2023.10354180 http://dx.doi.org/10.23919/SICE59929.2023.10354180
series/sci/Zuniga-NunezCSSPOD20 Studying Grammatical Evolution's Mapping Processes for Symbolic Regression Problems
BlancaVeronicaZuniga-Nunez.html
JuanMartinCarpio-Valadez.html
MarcoAurelioSoteloFigueroa.html
JorgeAlbertoSoria-Alcaraz.html
OmarJairPurata-Sifuentes.html
ManuelOrnelas-Rodriguez.html
AlfonsoRojas-Dominguez.html
http___dx.doi.org_10.1007_978-3-030-35445-9_32 http://dx.doi.org/10.1007/978-3-030-35445-9_32
journals/jamris/Zuniga-NunezCSE20 Exploring Random Permutations Effects on the Mapping Process for Grammatical Evolution
BlancaVeronicaZuniga-Nunez.html
JuanMartinCarpio-Valadez.html
MarcoAurelioSoteloFigueroa.html
AndresEspinalJimenez.html
OmarJairPurata-Sifuentes.html
ManuelOrnelas-Rodriguez.html
JorgeAlbertoSoria-Alcaraz.html
AlfonsoRojas-Dominguez.html
https___www.jamris.org_index.php_JAMRIS_article_view_541 https://www.jamris.org/index.php/JAMRIS/article/view/541
https___www.jamris.org_index.php_JAMRIS_article_view_541_541 https://www.jamris.org/index.php/JAMRIS/article/view/541/541
http___dx.doi.org_10.14313_JAMRIS_1-2020_8 http://dx.doi.org/10.14313/JAMRIS/1-2020/8
DBLP:conf/waim/ZuoTZ02 Mining Predicate Association Rule by Gene Expression Programming
JieZuo.html
ChangjieTang.html
TianqingZhang.html
http___dx.doi.org_10.1007_3-540-45703-8_9 http://dx.doi.org/10.1007/3-540-45703-8_9
DBLP:conf/waim/ZuoTLYC04 Time Series Prediction Based on Gene Expression Programming
JieZuo.html
ChangjieTang.html
ChuanLi.html
Chang-anYuan.html
An-longChen.html
http___dx.doi.org_10.1007_978-3-540-27772-9_7 http://dx.doi.org/10.1007/978-3-540-27772-9_7
Zuo:2022:GI Evaluation of Genetic Improvement Tools for Improvement of Non-functional Properties of Software
ShengjieZuo.html
AymericBlot.html
JustynaPetke.html
http___www.cs.ucl.ac.uk_staff_W.Langdon_gecco2022_gi2022_papers_Zuo_2022_GI.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/gecco2022/gi2022/papers/Zuo_2022_GI.pdf
http___dx.doi.org_10.1145_3520304.3534004 http://dx.doi.org/10.1145/3520304.3534004
http___geneticimprovementofsoftware.com_learn_survey http://geneticimprovementofsoftware.com/learn/survey
Zuo:2022:ITW Symbolic Regression for Data Storage with Side Information
XiangwuZuo.html
Anxiao_Andrew_Jiang.html
NetanelRaviv.html
PaulHSiegel.html
http___dx.doi.org_10.1109_ITW54588.2022.9965879 http://dx.doi.org/10.1109/ITW54588.2022.9965879
ZUPANCIC:2020:Energy Genetic-programming-based multi-objective optimization of strategies for home energy-management systems
JernejZupancic.html
BogdanFilipic.html
MatjazGams.html
http___dx.doi.org_10.1016_j.energy.2020.117769 http://dx.doi.org/10.1016/j.energy.2020.117769
http___www.sciencedirect.com_science_article_pii_S0360544220308768 http://www.sciencedirect.com/science/article/pii/S0360544220308768
Zuperl:2016:PE Surface roughness fuzzy inference system within the control simulation of end milling
UrosZuperl.html
FranciCus.html
http___dx.doi.org_10.1016_j.precisioneng.2015.09.019 http://dx.doi.org/10.1016/j.precisioneng.2015.09.019
http___www.sciencedirect.com_science_article_pii_S0141635915001804 http://www.sciencedirect.com/science/article/pii/S0141635915001804
Zutty:2015:GECCO Multiple Objective Vector-Based Genetic Programming Using Human-Derived Primitives
JasonZutty.html
DanielLong.html
HeywardAdams.html
GiseleBennett.html
ChristinaBaxter.html
http___doi.acm.org_10.1145_2739480.2754694 http://doi.acm.org/10.1145/2739480.2754694
http___dx.doi.org_10.1145_2739480.2754694 http://dx.doi.org/10.1145/2739480.2754694
Zutty:2016:GECCOcomp Increasing the Throughput of Expensive Evaluations Through a Vector Based Genetic Programming Framework
JasonZutty.html
DanielLong.html
GregoryRohling.html
http___dx.doi.org_10.1145_2908961.2931641 http://dx.doi.org/10.1145/2908961.2931641
ZUTTY-DISSERTATION-2018 Automated machine learning: A biologically inspired approach
JasonZutty.html
http___hdl.handle.net_1853_60768 http://hdl.handle.net/1853/60768
https___smartech.gatech.edu_bitstream_handle_1853_60768_ZUTTY-DISSERTATION-2018.pdf https://smartech.gatech.edu/bitstream/handle/1853/60768/ZUTTY-DISSERTATION-2018.pdf
zvada:2004:eurogp Improving Grammer Based Evolution Algorithms via Attributed Derivation Trees
SzilviaZvada.html
RobertVanyi.html
http___dx.doi.org_10.1007_978-3-540-24650-3_19 http://dx.doi.org/10.1007/978-3-540-24650-3_19
Zvezintsev:2013:VASTU Application of modified genetic programming algorithm for identification of mathematical models through the expansion of the training set by neural network
AndreyIgorevichZvezintsev.html
IrinaYurievnaKvyatkovskaya.html
http___vestnik.astu.org_Pages_Show_85 http://vestnik.astu.org/Pages/Show/85
http___vestnik.astu.org_Content_UserImages_file_inform_2013_2_07.pdf http://vestnik.astu.org/Content/UserImages/file/inform_2013_2/07.pdf
Zwettler:2015:ICCCT Evolution strategy classification utilizing meta features and domain-specific statistical a priori models for fully-automated and entire segmentation of medical datasets in 3D radiology
GeraldZwettler.html
WernerBackfrieder.html
http___dx.doi.org_10.1109_ICCCT2.2015.7292712 http://dx.doi.org/10.1109/ICCCT2.2015.7292712