Changes to Genetic Programing Bibliography since 2024/11/16

New

1. Abdollahzadeh:2016:CC Predicting of compressive strength of recycled aggregate concrete by genetic programming GholamrezaAbdollahzadeh.html EhsanJahani.html ZahraKashir.html
2. Abdulkarimova:2025:GPEM Harnessing evolutionary algorithms for enhanced characterization of ENSO events UlviyaAbdulkarimova.html RodrigoAbarcaDelRio.html PierreCollet.html
3. Al-Helali:EC Genetic Programming-based Feature Selection for Symbolic Regression on Incomplete Data BalighAl-Helali.html QiChen.html BingXue.html MengjieZhang.html
4. Ari:2021:SAUJS A Review of Genetic Programming: Popular Techniques, Fundamental Aspects, Software Tools and Applications DavutAri.html BarisBaykantAlagoz.html
5. Ari:2023:ASOC A differential evolutionary chromosomal gene expression programming technique for electronic nose applications DavutAri.html BarisBaykantAlagoz.html
6. Babic:2024:sv-jme Selective Laser Melting: A Novel Method for Surface Roughness Analysis MatejBabic.html MihaKovacic.html CristianoFragassa.html RomanSturm.html
7. Bird:thesis Optimizing Resource Allocations for Dynamic Interactive Applications SarahBird.html
8. boldi2022environmentaldiscontinuityhypothesisdownsampled The Environmental Discontinuity Hypothesis for Down-Sampled Lexicase Selection RyanBoldi.html ThomasHelmuth.html LeeSpector.html
9. Callan:2025:ASE Multi-objective improvement of Android applications JamesCallan.html JustynaPetke.html
10. Cano:2025:GPEM Hardware real-time individualised blood glucose predictor generator based on grammars and cartesian genetic programming JorgeCano.html JoseIgnacioHidalgoPerez.html OscarGarnica.html
11. Chakraborti:2016:camdtpa Data-Driven Bi-Objective Genetic Algorithms EvoNN and BioGP and Their Applications in Metallurgical and Materials Domain NirupamChakraborti.html
12. Chavan:2013:IJERA Shear Strength of Slender Reinforced Concrete Beams without Web Reinforcement RSChavan.html PrashantMPawar.html
13. GPRS-kit GPRS-kit 0.2 User Guide HenryMCook.html
14. Cook:CS-2007-12 Genetically Programmed Response Surfaces for Efficient Design Space Exploration HenryMCook.html KevinSkadron.html
15. Crary:2025:GPEM Using FPGA devices to accelerate the evaluation phase of tree-based genetic programming: an extended analysis ChristopherCCrary.html WesleyPPiard.html GregStitt.html BenjaminHicks.html CalebBean.html BogdanBurlacu.html WolfgangBanzhaf.html
16. deAlmeida:masterthesis Automatic Design of Autoencoders using NeuroEvolution AlexyDamienTomeJulienDenisdeAlmeida.html
17. Degtyarev:2022:SCS Design models for predicting shear resistance of studs in solid concrete slabs based on symbolic regression with genetic programming VitaliyVDegtyarev.html StephenJHicks.html JeromeFHajjar.html
18. Dolson:2018:PeerJ Ecological theory provides insights about evolutionary computation EmilyDolson.html WolfgangBanzhaf.html CharlesOfria.html
19. Dolson_grad.msu_0128D_16624 On the constructive power of ecology in open-ended evolving systems EmilyDolson.html
20. El-Baroudy:2008:hydropredict Identification and Quantification of the Soil Moisture Response to the Atmospheric Forcing IbrahimEl-Baroudy.html AminElshorbagy.html
21. Garg:2020:IJER Aging model development based on multidisciplinary parameters for lithium-ion batteries AkhilGarg.html ShaosenSu.html LiangGao.html XiongbinPeng.html PrashantBaredar.html
22. Guo:2025:ieeeTEC Genetic Programming With Multi-Fidelity Surrogates for Large-Scale Dynamic Air Traffic Flow Management TongGuo.html YiMei.html MengjieZhang.html RuofeiSun.html YanboZhu.html WenboDu.html
23. DBLP:conf/eurocast/HaiderK22 Shape-Constrained Symbolic Regression with NSGA-III ChristianHaider.html GabrielKronberger.html
24. Ingelse:2025:GPEM A comparison of representations in grammar‑guided genetic programming in the context of glucose prediction in people with diabetes LeonIngelse.html JoseIgnacioHidalgoPerez.html JManuelColmenar.html NunoLourenco.html AlcidesFonseca.html
25. Kalkreuth:2024:sigevolution Drifting and Evolving: The graph-based Genetic Programming community has entered a new Era RomanTobiasKalkreuth.html
26. Kovacic:2024:APEM Reducing scrap in long rolled round steel bars using Genetic Programming after ultrasonic testing MihaKovacic.html AljazZupanc.html UrosZuperl.html MiranBrezocnik.html
27. Langdon:2025:EuroGP Population Diversity, Information Theory and Genetic Improvement WilliamBLangdon.html DavidClark.html
28. langdon:2025:GI The gem5 C++ glibc Heap Fitness Landscape WilliamBLangdon.html BobbyRBruce.html
29. Larkin:thesis Artificial Evolution Approaches to Address the Data Challenges Encountered During Financial Forecasting FiaccLarkin.html
30. Madic:2022:FUME MATHEMATICAL MODELLING OF THE CO2 LASER CUTTING PROCESS USING GENETIC PROGRAMMING MilosMadic.html MarinGostimirovic.html DraganRodic.html MiroslavRadovanovic.html MargaretaCoteata.html
31. Minns:thesis Artificial Neural Networks as Subsymbolic Process Descriptors AnthonyWMinns.html
32. Munoz-Contreras:2025:GPEM Benchmarking GSGP: Still competitive 10 years later? JoseManuelMunozContreras.html LeonardoTrujillo.html DanielEduardoHernandezMorales.html LuisACardenasFlorido.html
33. DBLP:journals/cma/MuszynskiVBSK12 Convergence analysis of evolutionary algorithms in the presence of crash-faults and cheaters JakubMuszynski.html SebastienVarrette.html PascalBouvry.html FranciszekSeredynski.html SameeUllahKhan.html
34. Trung_Bao_Nguyen:thesis Pattern and Function Transfer for Learning Classifier Systems TrungBaoNguyen.html
35. Ochoa:2024:sigevolution The 2024 ACM SIGEVO Outstanding Contribution Awardees: Prof. Dr. Franz Rothlauf, Information Systems, University of Mainz, Germany GabrielaOchoa.html
36. DBLP:phd/hal/Ramirez18 A Framework for Autonomous Generation of Strategies in Satisfiability Modulo Theories NicolasGalvezRamirez.html
37. Rosenfeld:2025:GPEM A survey on batch training in genetic programming LiahRosenfeld.html LeonardoVanneschi.html
38. Santos:thesis Adaptacao de algoritmos hibridos baseados em aprendizagem de maquinas para aplicacao em problemas na area de Saude com bases de dados desbalanceadas LaercioIvesSantos.html
39. Schweim:2018:GECCO An analysis of the bias of variation operators of estimation of distribution programming DirkSchweim.html FranzRothlauf.html
40. DBLP:conf/aaaifs/SpectorKP04 Tags and the Evolution of Cooperation in Complex Environments LeeSpector.html JonKlein.html ChristopherHPerry.html
41. Yu-Hong_Sun:ieeeTEC Symbolic Regression-Assisted Offline Data-Driven Evolutionary Computation Yu-HongSun.html TingHuang.html JinghuiZhong.html JunZhang.html Yue-JiaoGong.html
42. Syed:thesis Data driven modelling for environmental water management MofazzalHaiderSyed.html
43. Tonda:GPEM:PySR Review of PySR: high-performance symbolic regression in Python and Julia AlbertoTonda.html
44. Vaidya:2023:Algorithms Grammatical Evolution-Driven Algorithm for Efficient and Automatic Hyperparameter Optimisation of Neural Networks GauriVaidya.html MeghanaKshirsagar.html ConorRyan.html
45. Vroomans:2025:GPEM Review: ``Computational evolution of neural and morphological development'', Yaochu Jin, ISBN 978-981-99-1853-9, Springer, 2023 RenskeVroomans.html
46. idea_3422_OBJ On the interplay of architecture and collaboration on software evolution and maintenance SunnyWong.html
47. Xue:2025:GP EuroGP 2025: Proceedings of the 28th European Conference on Genetic Programming BingXue.html LucaManzoni.html IllyaBakurov.html

Modified

1. 2 journals/iajit/AbbasiSA14 Multi Block based Image Watermarking in Wavelet Domain Using Genetic Programming AlmasAbbasi.html WooChawSeng.html ImranShafiqAhmad.html
2. 1 abdulkarimova:2019:ajhpc The PARSEC machine: a non-Newtonian supra-linear super-computer UlviyaAbdulkarimova.html AnnaOuskovaLeonteva.html ChristianRolando.html AnneJeannin-Girardon.html PierreCollet.html
3. 1 Afzal2009 A systematic review of search-based testing for non-functional system properties WasifAfzal.html RichardTorkar.html RobertFeldt.html
4. 4 Ahluwalia:2001:SA Coevolving functions in genetic programming ManuAhluwalia.html LarryBull.html
5. 1 ahmed:2020:IJDC A novel genetic-programming based differential braking controller for an 8x8 combat vehicle MoatazAhmed.html MoustafaEl-Gindy.html HaoxiangLang.html
6. 1 Ajcevic:thesis Personalized setup of high frequency percussive ventilator by estimation of respiratory system viscoelastic parameters MilosAjcevic.html
7. 29 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
8. 1 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
9. 1 Ali:thesis Intelligent Decision Making Ensemble Classification System for Breast Cancer Prediction SafdarAli.html
10. 9 andelic:IJIS Robust password security: a genetic programming approach with imbalanced dataset handling NikolaAndelic.html SandiBaressiSegota.html ZlatanCar.html
11. 1 kinnear:andrews Genetic Programming for the Acquisition of Double Auction Market Strategies MartinAndrews.html RichardPrager.html
12. 3 Antonelli:2013:NAFIPS Evolutionary Fuzzy Classifiers for Imbalanced Datasets: An Experimental Comparison MichelaAntonelli.html PietroDucange.html FrancescoMarcelloni.html ArmandoSegatori.html
13. 1 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
14. DBLP:phd/tr/Ari23 The genetic programming and its applications in engineering DavutAri.html
15. 21 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
16. 1 Austin:2004:QF Adaptive systems for foreign exchange trading MarkPAustin.html GrahamBates.html MichaelDempster.html VascoLeemans.html StacyNWilliams.html
17. Genmorph_TSE_2024 GenMorph: Automatically Generating Metamorphic Relations via Genetic Programming JonAyerdi.html ValerioTerragni.html GunelJahangirova.html AitorArrieta.html PaoloTonella.html
18. 2 Azad:2014:EC A Simple Approach to Lifetime Learning in Genetic Programming based Symbolic Regression RMuhammadAtifAzad.html ConorRyan.html
19. 29 Babu:2023:ICAEECI OCR-Based Multi-class Classification of Hate Speech in Images NithishBabuM.html PreethiP.html
20. 1 Bakurov:thesis Soft computing for Ill Posed Problems in Computer Vision IllyaBakurov.html
21. 1 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
22. 4 banzhaf:mrl:tech Genetic Programming for Pedestrians WolfgangBanzhaf.html
23. 5 banzhaf:mrl Genetic Programming for Pedestrians WolfgangBanzhaf.html
24. 4 banzhaf:1994:ppsn3 Genotype-Phenotype-Mapping and Neutral Variation -- A case study in Genetic Programming WolfgangBanzhaf.html
25. 2 Banzhaf:2024:GPEM ``The physics of evolution'' by Michael W. Roth, CRC press, 2023 WolfgangBanzhaf.html
26. 1 Batenkov:2010:HIG:1836543.1836558 Hands-on introduction to genetic programming DmitryBatenkov.html
27. 1 Batista:mastersthesis Studying elements of genetic programming for multiclass classification JoaoEBatista.html
28. 1 Batot:2022:SSM Promoting social diversity for the automated learning of complex MDE artifacts EdouardBatot.html HouariSahraoui.html
29. 6 Becker:2020:TPOT Faster AutoML with TPOT and RAPIDS NickBecker.html DanteGamaDessavre.html JohnZedlewski.html
30. 2 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
31. 5 oai:HAL:hal-02489115v1 Nested Monte Carlo Expression Discovery vs Genetic Programming for Forecasting Financial Volatility SanaBenHamida.html TristanCazenave.html
32. 5 Ying_Bi:Cybernetics3 Multitask Feature Learning as Multiobjective Optimization: A New Genetic Programming Approach to Image Classification YingBi.html BingXue.html MengjieZhang.html
33. 5 Ying_Bi:ieeeTEC Genetic Programming-Based Evolutionary Deep Learning for Data-Efficient Image Classification YingBi.html BingXue.html MengjieZhang.html
34. 2 Bi:2023:CEC Evolutionary Deep-Learning for Image Classification: A Genetic Programming Approach YingBi.html BingXue.html MengjieZhang.html
35. 1 Blot:2024:GI Automated Software Performance Improvement with Magpie AymericBlot.html
36. 1 Boldi:2024:ALife Untangling the Effects of Down-Sampling and Selection in Genetic Programming RyanBoldi.html AshleyBao.html MartinBriesch.html ThomasHelmuth.html DominikSobania.html LeeSpector.html AlexanderLalejini.html
37. 6 Boldi:ECJ Informed Down-Sampled Lexicase Selection: Identifying Productive Training Cases for Efficient Problem Solving RyanBoldi.html MartinBriesch.html DominikSobania.html AlexanderLalejini.html ThomasHelmuth.html FranzRothlauf.html CharlesOfria.html LeeSpector.html
38. 3 SAND2005-0014 Graduated Embodiment for Sophisticated Agent Evolution and Optimization MarkBoslough.html MichaelDPeters.html ArthurinePierson.html
39. 1 Buccheri:2024:JPT Appendicular Skeletal Muscle Mass in Older Adults Can Be Estimated With a Simple Equation Using a Few Zero-Cost Variables EnricoBuccheri.html DanieleDell'Aquila.html MarcoRusso.html RitaChiaramonte.html MicheleVecchio.html
40. 6 burlacu:NC Population diversity and inheritance in genetic programming for symbolic regression BogdanBurlacu.html KaifengYang.html MichaelAffenzeller.html
41. 1 Burlacu:2024:GPTP Gradient-based Local Search in Symbolic Regression BogdanBurlacu.html
42. 23 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
43. 1 PhD_Thesis_Liwei_Cao_revised_version Combining artificial intelligence and robotic system in chemical product/process design LiweiCao.html
44. 2 Card:2008:GPTP An Application of Information Theoretic Selection to Evolution of Models with Continuous-valued Inputs StuCard.html ChilukuriKMohan.html
45. 4 DBLP:journals/corr/abs-2211-05723 A Python library for nonlinear system identification using Multi-Gene Genetic Programming algorithm HenriqueCarvalhodeCastro.html BrunoHenriqueGroennerBarbosa.html
46. 3 Cattani:thesis Extending Cartesian genetic programming : multi-expression genomes and applications in image processing and classification PhilipTCattani.html
47. 3 Chakraborti:2015:csdc Data-driven paradigms of EvoNN and BioGP NirupamChakraborti.html
48. 10 chan:2002:AGPFAGP Automatic Generation of Prime Factorization Algorithms using Genetic Programming DavidMichaelChan.html
49. 1 chen:2022:FC Orientation Design and Research of Heavy Bamboo Substrate Considering Genetic Programming and Artificial Intelligence Algorithm WeiChen2.html
50. 4 Chennupati:thesis Grammatical Evolution + Multi-Cores = Automatic Parallel Programming! GopinathChennupati.html
51. 3 Chitty:thesis Improving the computational speed of genetic programming DarrenMChitty.html
52. 2 Cilibrasi:thesis Statistical Inference Through Data Compression RudiCilibrasi.html
53. 3 Cohen:2023:GI It's all in the Semantics: When are Genetically Improved Programs Still Correct? MyraBCohen.html
54. 3 Cook:2008:DAC Predictive design space exploration using genetically programmed response surfaces HenryMCook.html KevinSkadron.html
55. 45 Cortacero:thesis Programmation Genetique Cartesienne pour la Segmentation d'Images Biomedicales KevinCortacero.html
56. 7 Corus::TELO On the Generalisation Performance of Geometric Semantic Genetic Programming for Boolean Functions: Learning Block Mutations DoganCorus.html PietroSOliveto.html
57. 7 Crary:2024:PPSN Enhancing the Computational Efficiency of Genetic Programming through Alternative Floating-Point Primitives ChristopherCCrary.html BogdanBurlacu.html WolfgangBanzhaf.html
58. 1 Creevey:2023:SciRep GASP: a genetic algorithm for state preparation on quantum computers FloydMCreevey.html CharlesDHill.html LloydCLHollenberg.html
59. 8 Cui:2024:PPSN Positional Bias Does Not Influence Cartesian Genetic Programming with Crossover HenningCui.html MichaelHeider.html JoergHaehner.html
60. 1 Custode:2023:ASC Multi-objective automatic analysis of lung ultrasound data from COVID-19 patients by means of deep learning and decision trees LeonardoLucioCustode.html FedericoMento.html FrancescoTursi.html AndreaSmargiassi.html RiccardoInchingolo.html TizianoPerrone.html LibertarioDemi.html GiovanniIacca.html
61. 1 Angan:Das:thesis Algorithms for Topology Synthesis of Analog Circuits AnganDas.html
62. 18 Das:2009:DATE A graph grammar based approach to automated multi-objective analog circuit design AnganDas.html RangaVemuri.html
63. 6 De-La-Torre:2024:PPSN Multi-Modal Adaptive Graph Evolution for Program Synthesis CamiloDeLaTorre.html YuriLavinas.html KevinCortacero.html DennisGWilson.html SylvainCussat-Blanc.html
64. 1 deFranca:2023:GPTP Origami: (un)folding the Abstraction of Recursion Schemes for Program Synthesis MatheusCamposFernandes.html FabricioOlivettideFranca.html EmilioFrancesquini.html
65. 2 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
66. 26 conf/eurogp/DoucetteH08 GP Classification under Imbalanced Data sets: Active Sub-sampling and AUC Approximation JohnADoucette.html MalcolmHeywood.html
67. 1 Drust-Nacarino_2015_Antioquia Drought and genetic programming to approach annual agriculture production normalized curves AriadneSofiaDrust-Nacarino.html MaritzaLilianaArganisJuarez.html RodolfoSilva-Casarin.html EdgarGerardoMendoza-Baldwin.html OscarArturoFuentes-Mariles.html
68. 6 Durasevic:2024:PPSN Improving the performance of relocation rules for the container relocation problem with the rollout algorithm MarkoDurasevic.html MatejaDumic.html FranciscoJavierGilGala.html NikolinaFrid.html DomagojJakobovic.html
69. 1 Durasevic:2024:EA Investigation of Structures for Routing Rules Designed by Genetic Programming for the Electric Vehicle Routing Problem MarkoDurasevic.html NikolinaFrid.html FranciscoJavierGilGala.html
70. 1 Durasevic:2024:EA2 Designing Less Myopic Routing Policies with Genetic Programming for the Electric Vehicle Routing Problem MarkoDurasevic.html FranciscoJavierGilGala.html
71. 24 Fan:2023:FoSE Large Language Models for Software Engineering: Survey and Open Problems AngelaFan.html BelizUgurhanGokkaya.html MarkHarman.html MityaLyubarskiy.html ShubhoSengupta.html ShinYoo.html JieMarinaZhang.html
72. 1 FAN:2024:knosys A genetic programming-based method for image classification with small training data QinglanFan.html YingBi.html BingXue.html MengjieZhang.html
73. 1 Farinati:2024:evoapplications GM4OS: An Evolutionary Oversampling Approach for Imbalanced Binary Classification Tasks DavideFarinati.html LeonardoVanneschi.html
74. 2 Farinati:2024:GPEM A survey on dynamic populations in bio-inspired algorithms DavideFarinati.html LeonardoVanneschi.html
75. 4 fayolle:tel-00476678 Reconstruction of 3D objects using a functional representation Pierre-AlainFayolle.html
76. 1 Fei:2015:MPM Analysis of students perceptions of seafaring career in China based on artificial neural network and genetic programming JiangangFei.html Jian-JunLu.html
77. 10 conf/lwa/FischerJMM20 Solving Abstract Reasoning Tasks with Grammatical Evolution RaphaelFischer.html MatthiasJakobs.html SaschaMuecke.html KatharinaMorik.html
78. 7 DBLP:phd/dnb/Fischer19 Machine learning in financial markets ThomasGFischer.html
79. 5 pmlr-v238-sen-fong24a Multi-Level Symbolic Regression: Function Structure Learning for Multi-Level Data KeiSenFong.html MehulMotani.html
80. 1 Fontbonne:2022:EuroGP Cooperative Co-Evolution and Adaptive Team Composition for a Multi-Rover Resources Allocation Problem NicolasFontbonne.html NicolasMaudet.html NicolasBredeche.html
81. 1 Fredericks:2023:GI Generative Art via Grammatical Evolution ErikMFredericks.html AbigailCDiller.html JaredMMoore.html
82. 35 Fuentes-Tomas:TEVC Tree-Based Codification in Neural Architecture Search for Medical Image Segmentation Jose-AntonioFuentes-Tomas.html EfrenMezura-Montes.html Hector-GabrielAcosta-Mesa.html AldoMarquez-Grajales.html
83. 24 GARBRECHT:2023:jmps Complementing a continuum thermodynamic approach to constitutive modeling with symbolic regression KarlMichaelGarbrecht.html DonovanKeithBirky.html BrianLester.html JohnMEmery.html JacobDeanHochhalter.html
84. 1 oai:cds.cern.ch:2255146 Applying natural evolution for solving computational problems - Lecture 2 DanielLanzaGarcia.html
85. 10 gearhart:2003:GPPSMDP Genetic Programming as Policy Search in Markov Decision Processes ChrisGearhart.html
86. 1 Goebel:thesis Towards reliable characterization and model-based evaluation of organic solvent nanofiltration RebeccaGoebel.html
87. 1 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
88. 2 Goschen:2022:CEC Genetic Micro-Programs for Automated Software Testing with Large Path Coverage JarrodGoschen.html AnnaSBosman.html StefanGruner.html
89. 1 grosan-stock Stock Market Prediction Using Multi Expression Programming CrinaGrosan.html AjithAbraham.html VitorinoJCasteloRamos.html SangYongHan.html
90. 2 gruau:1996:ceVdeGNN A Comparison between Cellular Encoding and Direct Encoding for Genetic Neural Networks FredericGruau.html LDarrellWhitley.html LarryDPyeatt.html
91. 1 Gu:thesis Static and Dynamic Analysis of Nonlinear Valve Springs Based on Finite Element Analysis and Machine Learning Algorithm ZewenGu.html
92. 29 Guizzo:2024:TOSEM Speeding up Genetic Improvement via Regression Test Selection GiovaniGuizzo.html DavidWilliams.html MarkHarman.html JustynaPetke.html FedericaSarro.html
93. 1 Hamilton:2023:evoapplications Predicting Normal and Anomalous Urban Traffic with Vectorial Genetic Programming and Transfer Learning JohnConnorRegoHamilton.html AnikoEkart.html AlinaPatelli.html
94. 1 Harman:2014:seams Genetic Improvement for Adaptive Software Engineering MarkHarman.html YueJia.html WilliamBLangdon.html JustynaPetke.html ImanHematiMoghadam.html ShinYoo.html FanWu.html
95. 1 Heaton:GPEM:deep_learning Ian Goodfellow, Yoshua Bengio, and Aaron Courville: Deep learning JeffHeaton.html
96. 1 Helmuth:2020:ALife Genetic Source Sensitivity and Transfer Learning in Genetic Programming ThomasHelmuth.html EdwardRPantridge.html GraceWoolson.html LeeSpector.html
97. 2 Hemberg:2024:GPEM Evolving code with a large language model ErikHemberg.html StephenMoskal.html Una-MayO'Reilly.html
98. 2 hetland:2002:RASC Temporal Rule Discovery using Genetic Programming and Specialized Hardware MagnusLieHetland.html PalSaetrom.html
99. 1 Hidalgo:2023:GPTP Genetic Programming Techniques for Glucose Prediction in People with Diabetes JoseIgnacioHidalgoPerez.html JoseManuelVelascoCabo.html DanielParraRodriguez.html OscarGarnica.html
100. 1 Hong:thesis Hyper-heuristic approaches to automatically designing heuristics as mutation operators for evolutionary programming on function classes LibinHong.html
101. 25 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
102. 2 Hu:2022:GPTP Genetic Programming for Interpretable and Explainable Machine Learning TingHu.html
103. 3 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
104. 6 9810862 Semantic Linear Genetic Programming for Symbolic Regression ZhixingHuang.html YiMei.html JinghuiZhong.html
105. 6 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
106. 1 RISI5715Ana Revision de las tecnicas existentes en Programacion Genetica para evolucionar las subrutinas AnaMariaHuaynaDuenas.html
107. 1 Hussain:2023:GPTP Let's Evolve Intelligence, Not Solutions TalibSHussain.html
108. 1 kinnear:iba Genetic Programming Using a Minimum Description Length Principle HitoshiIba.html HugodeGaris.html TaisukeSato.html
109. 2 iba:1997:malrntGP Multiple-Agent Learning for a Robot Navigation Task by Genetic Programming HitoshiIba.html
110. 3 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
111. 1 Islam:alife22 String: a programming language for the evolution of ribozymes in a new computational protocell model MohiulIslam.html NawwafKharma.html PeterGrogono.html
112. 3 Jakobovic:thesis Scheduling based on adaptive rules DomagojJakobovic.html
113. 1 Jia:Picassevo Picassevo YueJia.html
114. 2 Johanson98 GP-Music: An Interactive Genetic Programming System for Music Generation with Automated Fitness Raters BradleyEJohanson.html RiccardoPoli.html
115. 5 RASC2002SC2108 Genetic Programming with Guaranteed Constraints ColinGJohnson.html
116. 1 kabliman:2019:ESAFORM Prediction of stress-strain curves for aluminium alloys using symbolic regression EvgeniyaKabliman.html AnaHelenaKolody.html MichaelKommenda.html GabrielKronberger.html
117. 4 KARDANIMohammadnavid2021Hmla Hybrid machine learning algorithms and optimisation techniques as new solution for geotechnical problems Mohammadnavid_Navid_Kardani.html
118. 1 khan:evoANNdev Evolution of Artificial Neural Development: In search of learning genes GulMuhammadKhan.html
119. 1 Khandelwal:book Automating Data-Driven Modelling of Dynamical Systems: An Evolutionary Computation Approach DhruvKhandelwal.html
120. 2 Khattab:2023:neurips DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines OmarKhattab.html ArnavSinghvi.html ParidhiMaheshwari.html ZhiyuanZhang.html KeshavSanthanam.html SriVardhamananA.html SaifulHaq.html AshutoshSharma.html ThomasTJoshi.html HannaMoazam.html HeatherMiller.html MateiAZaharia.html ChristopherPotts.html
121. 7 Koch:2024:PPSN Simultaneous Model-Based Evolution of Constants and Expression Structure in GP-GOMEA for Symbolic Regression JohannesKoch.html TanjaAlderliesten.html PeterANBosman.html
122. 1 Koohestani:thesis Genetic Hyper-Heuristics for Graph Layout Problems BehroozKoohestani.html
123. 1 kovacic:2024:metals Optimization of Billet Cooling after Continuous Casting Using Genetic Programming-Industrial Study MihaKovacic.html AljazZupanc.html RobertVertnik.html UrosZuperl.html
124. 2 Koza:2000:GECCOlb Automatic Synthesis of a Wire Antenna Using Genetic Programming WilliamComisky.html JessenYu.html JohnKoza.html
125. 6 Kronberger:2024:PPSN The Inefficiency of Genetic Programming for Symbolic Regression GabrielKronberger.html FabricioOlivettideFranca.html HarryDesmond.html DeaglanJBartlett.html LukasKammerer.html
126. 4 Kumar:JETAI A new fitness function in genetic programming for classification of imbalanced data ArvindKumar.html
127. 2 LaCava:thesis Automatic Development and Adaptation of Concise Nonlinear Models for System Identification WilliamLaCava.html
128. 1 LaCava:2021:NeurIPS Contemporary Symbolic Regression Methods and their Relative Performance WilliamLaCava.html PatrykOrzechowski.html BogdanBurlacu.html FabricioOlivettideFranca.html MarcoVirgolin.html YingJin.html MichaelKommenda.html JasonHMoore.html
129. 2 langdon:2008:CES-481 Genetic Programming for Drug Discovery WilliamBLangdon.html
130. 1 langdon:2011:SC Graphics Processing Units and Genetic Programming: An overview WilliamBLangdon.html
131. 2 langdon_2012_sigevolution Distilling GeneChips with Genetic Programming on the Emerald GPU supercomputer WilliamBLangdon.html
132. 1 langdon:2023:GI Genetic Improvement of OLC and H3 with Magpie WilliamBLangdon.html BradAlexander.html
133. 2 langdon:2024:GI Deep Mutations have Little Impact WilliamBLangdon.html DavidClark.html
134. 2 langdon:2024:sigevolution Searching the Genetic Programming Bibliography WilliamBLangdon.html
135. 5 langdon:2024:ASE Deep Imperative Mutations have Less Impact WilliamBLangdon.html DavidClark.html
136. 11 Langdon:2024:EI Sustaining Evolution for Shallow Embodied Intelligence WilliamBLangdon.html DanielHulme.html
137. 1 langham:1999:AMPAFEMCAC A Multilevel k-way Partitioning Algorithm for Finite Element Meshes using Competing Ant Colonies AELangham.html PhilWGrant.html
138. 1 conf/eurogp/LarkinR08 Good News: Using News Feeds with Genetic Programming to Predict Stock Prices FiaccLarkin.html ConorRyan.html
139. 6 Lavinas:2024:PPSN Adaptive Sampling of Biomedical Images with Cartesian Genetic Programming YuriLavinas.html NathanielHaut.html WilliamFPunch.html WolfgangBanzhaf.html SylvainCussat-Blanc.html
140. 1 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
141. 6 Liang:2024:GNC A New Road Extraction Method from Satellite Images Using Genetic Programming JingLiang.html YaxinChang.html YingBi.html CaitongYue.html BoyangQu.html MengnanLiu.html
142. 4 Jing-Liang:TGRS A Multi-Tree Genetic Programming-based Feature Construction Approach to Crop Classification Using Hyperspectral Images JingLiang.html ZexuanYang.html YingBi.html BoyangQu.html MengnanLiu.html BingXue.html MengjieZhang.html
143. 44 Liaw:ETCI Ensemble Learning Through Evolutionary Multitasking: A Formulation and Case Study Rung-TzuoLiaw.html Yu-WeiWen.html
144. 1 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
145. 6 Liou:TELO Evolving to find optimizations humans miss: using evolutionary computation to improve GPU code for bioinformatics applications Jhe-YuLiou.html MuaazGulAwan.html KirtusLeyba.html PetrSulc.html StevenAHofmeyr.html Carole-JeanWu.html StephanieForrest.html
146. 10 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
147. 6 Liu:2024:PPSN GPGLS: Genetic Programming Guided Local Search for Large-Scale Vehicle Routing Problems SainingLiu.html JoaoGuilhermeCavalcantiCosta.html YiMei.html MengjieZhang.html
148. 2 Lorway:2021:AIMC Autopia: An AI collaborator for live networked computer music performance NorahLorway.html EdwardPowley.html ArthurWilson.html
149. 1 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
150. 2 Luke1:2001:GECCO A Survey and Comparison of Tree Generation Algorithms SeanLuke.html LiviuPanait.html
151. 1 Machado:2022:GPTP GP-Based Generative Adversarial Models PenousalMachado.html FranciscoBaeta.html TiagoMartins.html JoaoNunoGoncalvesCostaCavaleiroCorreia.html
152. 2 ijcai2024coin From Pixels to Metal: AI-Empowered Numismatic Art PenousalMachado.html TiagoMartins.html JoaoNunoGoncalvesCostaCavaleiroCorreia.html LuisEspiritoSanto.html NunoLourenco.html JoaoMiguelCunha.html SergioMRebelo.html PedroMartins.html JoaoBicker.html
153. 4 Magnusson:2016:GECCO Improving the Canny Edge Detector Using Automatic Programming: Improving Non-Max Suppression LarsVidarMagnusson.html JRolandOlsson.html
154. 24 Magnusson:2016:ICIVC Improving the Canny edge detector using automatic programming: Improving the filter LarsVidarMagnusson.html JRolandOlsson.html
155. 38 Maheta:2015:ICCCI Classification of imbalanced data sets using Multi Objective Genetic Programming HardikHMaheta.html VipulKDabhi.html
156. 2 Maldonado:GPEM GSGP-hardware: instantaneous symbolic regression with an FPGA implementation of geometric semantic genetic programming YazminMaldonadoRobles.html RubenDarioSalasVillegas.html JoelAntonioQuevedoFelix.html RogelioValdez.html LeonardoTrujillo.html
157. 1 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
158. 1 Martinez:2014:Medellin Predicci\'on de los precios de contratos de electricidad usando programaci\'on gen\'etica con bloques funcionales CarlosAlbertoMartinez.html JuanDavidVelasquezHenao.html
159. 1 Maslyaev:2023:GECCOcomp Comparison of Single- and Multi- Objective Optimization Quality for Evolutionary Equation Discovery MikhailAMaslyaev.html AlexanderAHvatov.html
160. 1 1068288 Evolution of a human-competitive quantum fourier transform algorithm using genetic programming PaulSMassey.html JohnAClark.html SusanStepney.html
161. 1 McConaghy:2011:CICC High-dimensional statistical modeling and analysis of custom integrated circuits TrentMcConaghy.html
162. 2 mckayabbass01:rtqrt Anticorrelation Measures in Genetic Programming RI_Bob_McKay.html HusseinAAbbass.html
163. 3 Megane:2024:sigevolution Summary of EvoStar 2024 JessicaMegane.html
164. 3 conf/seal/MeiNZ17 Constrained Dimensionally Aware Genetic Programming for Evolving Interpretable Dispatching Rules in Dynamic Job Shop Scheduling YiMei.html SuNguyen.html MengjieZhang.html
165. 16 MERKURYEVA:2019:procs Demand forecasting in pharmaceutical supply chains: A case study GalinaMerkurjeva.html AijaValberga.html AlexanderVSmirnov.html
166. 1 Ali_Meshgi_PhD_Thesis Rainfall-Runoff Processes in Tropical Urban Environments AliMeshgi.html
167. 26 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
168. 1 Mosayebi:2020:GI9 Tuning Genetic Algorithm Parameters using Design of Experiments MohsenMosayebi.html ManbirSSodhi.html
169. 7 Mugambi:thesis Automated inference of comprehensible models for medical data mining ErnestMugambi.html
170. 2 Murphy:2024:GPEM An investigation into structured grammatical evolution initialisation AidanMurphy.html MahsaMahdinejad.html AnthonyVentresque.html NunoLourenco.html
171. 2 murphy-thesis Manipulating Convergence In Evolutionary Systems GearoidMurphy.html
172. 1 Mwaura:thesis Evolution of Robotic Behaviour using Gene Expression Programming JonathanMwaura.html
173. 1 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
174. 2 conf/atal/NeupaneG19 Designing Emergent Swarm Behaviors using Behavior Trees and Grammatical Evolution AadeshNeupane.html MichaelAGoodrich.html
175. 1 Nilsen:2023:GPEM Reward tampering and evolutionary computation: a study of concrete AI-safety problems using evolutionary algorithms MathiasKNilsen.html TonnesFNygaard.html KaiOlavEllefsen.html
176. 3 Oesch:thesis A Computational Investigation of Price Impact ChristianOesch.html
177. 5 Ombuki-Berman:2024:GPEM Leonardo Vanneschi and Sara Silva: lectures on intelligent systems BeatriceOmbuki-Berman.html
178. 6 Owen:EC Using Decomposed Error for Reproducing Implicit Understanding of Algorithms CaitlinAOwen.html GrantDick.html PeterAlexanderWhigham.html
179. 35 PATILSHINDE:2018:Calphad Genetic programming based models for prediction of vapor-liquid equilibrium VeenaPatil-Shinde.html SanjeevSTambe.html
180. 12 PEREZMOROYOQUI:2022:MCS An intelligent equation for methane hydrate growth kinetics RenePerezMoroyoqui.html OscarIbanezOrozco.html SuemiRodriguezRomo.html
181. 1 Petke:2023:ESE Program transformation landscapes for automated program modification using Gin JustynaPetke.html BradAlexander.html EarlBarr.html AlexanderEIBrownlee.html MarkusWagner.html DavidRobertWhite.html
182. 1 WRAP_THESIS_Pickardt_2013 Evolutionary methods for the design of dispatching rules for complex and dynamic scheduling problems ChristophPickardt.html
183. 2 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
184. 61 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
185. 1 Quiroz:2017:IJCA Interactive Shape Perturbation JuanCQuiroz.html SergiuMDascalu.html
186. 4 qureshi:thesis The Evolution of Agents AdilQureshi.html
187. 20 Rabuge:2024:PPSN Decision Tree Based Wrappers for Hearing Loss MiguelRabuge.html NunoLourenco.html
188. 1 Ramirez:2018:HPCS Optimizing SMT Solving Strategies by Learning with an Evolutionary Process NicolasGalvezRamirez.html EricMonfroy.html FredericSaubion.html CarlosCastroValdebenito.html
189. 6 ramos-criado:ECJ Estimation of Distribution Algorithm for Grammar-Guided Genetic Programming PabloRamosCriado.html DoloresBarriosRolania.html DaviddelaHozGaliana.html DanielManriqueGamo.html
190. 8 reddy:IJSTTCE Assessment of Soil Liquefaction Potential Using Genetic Programming Using a Probability-Based Approach NerusupalliDineshKumarReddy.html AshokKumarGupta.html AnilKumarSahu.html
191. 23 Reuter:2024:PPSN Unit-Aware Genetic Programming for the Development of Empirical Equations JuliaReuter.html ViktorMartinek.html RolandHerzog.html SanazMostaghim.html
192. 7 Reyes-Fernandez-de-Bulnes:2024:PPSN Feature Encapsulation by Stages in the Regression Domain Using Grammatical Evolution DarianReyesFernandezdeBulnes.html AllanDanilodeLima.html EdgarGalvanLopez.html ConorRyan.html
193. 3 oai:CiteSeerX.psu:10.1.1.411.5348 Robust Design and Reliability-based Design Optimization DirkRoos.html ChristianBucher.html
194. 1 rosca:thesis Hierarchical Learning with Procedural Abstraction Mechanisms JustinianRosca.html
195. 1 rosca:2000:gecco99 Remembering GECCO-99 -- A Short Summary JustinianRosca.html
196. 3 Rowe:2024:GPEM Benjamin Doerr and Frank Neumann (editors): theory of evolutionary computation JonathanERowe.html
197. 2 ryan:1999:aigp3 An Automatice Software Re-Engineering Tool based on Genetic Programming ConorRyan.html LaurIvan.html
198. 1 ryan:2000:paragen1 Paragen - The first results ConorRyan.html LaurIvan.html
199. 2 Ryan:2022:SciRep Design of a cryptographically secure pseudo random number generator with grammatical evolution ConorRyan.html MeghanaKshirsagar.html GauriVaidya.html AndrewCunningham.html RSivaraman.html
200. 2 DBLP:phd/dnb/Salustowicz03 Probabilistic Incremental Program Evolution RafalSalustowicz.html
201. 9 Samore:2018:rhlAI Artificial Intelligence and the Patent System: Can a New Tool Render a Once Patentable Idea Obvious? WilliamJSamore.html
202. 34 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
203. 22 scalzitti:2024:CAMD Computational peptide discovery with a genetic programming approach NicolasScalzitti.html IliyaMiralavy.html DavidEKorenchan.html ChristianTFarrar.html AssafAGilad.html WolfgangBanzhaf.html
204. 1 Science09:Schmidt Distilling Free-Form Natural Laws from Experimental Data MichaelDSchmidt.html HodLipson.html
205. 83 DBLP:phd/dnb/Schweim21 On Sampling Error and Bias in Evolutionary Algorithms DirkSchweim.html
206. 1 Sealy:2024:CEC Emergent Discovery of Reinforced Programs using Q-Learning and Planning: A Proof of Concept NoahSealy.html MalcolmHeywood.html
207. 1 Shahnazari:2014:IJCE Evolutionary-based approaches for settlement prediction of shallow foundations on cohesionless soils HabibShahnazari.html MohamedShahin.html MohammadAminTutunchian.html
208. 1 Sheneman:thesis The evolution of neural plasticity in digital organisms LeighSheneman.html
209. 15 Sipper:2024:GPTP Deep learning-based operators for evolutionary algorithms EliadShem-Tov.html MosheSipper.html AchiyaElyasa.html
210. 1 conf/ibica/SlapakN14 Multiobjective Genetic Programming of Agent Decision Strategies MartinSlapak.html RomanNeruda.html
211. 4 DBLP:phd/dnb/Sobania22 On the structure and generalizability of programs synthesized by genetic programming DominikSobania.html
212. 6 song:2024:PPSN Symbol Graph Genetic Programming for Symbolic Regression JingluSong.html QiangLu.html BozhouTian.html JingwenZhang.html JakeLuo.html ZhiguangWang.html
213. 3 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
214. 2 Spector:2024:GPEM Chief editorship transition LeeSpector.html LeonardoTrujillo.html
215. 2 DBLP:conf/eurocast/StroblVHKW22 Using Explainable Artificial Intelligence for Data Based Detection of Complications in Records of Patient Treatments MarinaStrobl.html JuliaVetter.html GerhardHalmerbauer.html TilmanKoenigswieser.html StephanMWinkler.html
216. 38 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
217. 4 DBLP:journals/iajit/SultanTA19 Improving classification performance using genetic programming to evolve string kernels RubaSultan.html HashemTamimi.html YaqoubAshhab.html
218. 26 Tackett93 Genetic Generation of ``Dendritic'' Trees for Image Classification WalterAldenTackett.html
219. 3 Tackett:1994:thesis Recombination, Selection, and the Genetic Construction of Computer Programs WalterAldenTackett.html
220. 10 TechTeller PADO: Learning Tree Structured Algorithms for Orchestration into an Object Recognition System AstroTeller.html ManuelaVeloso.html
221. 2 Tonella:2004:ISSTA Evolutionary Testing of Classes PaoloTonella.html
222. 2 trujillo:2018:sigevolution EuroGP 2018 Panel Debate: Genetic Programming in the Era of Deep Neural Networks LeonardoTrujillo.html WilliamBLangdon.html
223. 4 TurkyAyad2019Bhaf Bi-level hyper-heuristic approaches for combinatorial optimisation problems AyadMashaanTurky.html
224. 19 Turner:2024:CACM Neural Architecture Search as Program Transformation Exploration JackTurner.html ElliotJCrowley.html MichaelFPO'Boyle.html
225. 2 Uusitalo:2024:GPEM Creative collaboration with interactive evolutionary algorithms: a reflective exploratory design study SeveriUusitalo.html AnnaKantosalo.html AnttiSalovaara.html TapioTakala.html ChristianGuckelsberger.html
226. 5 Vaidya:2022:ICSBT HyperEstimator: Evolving Computationally Efficient CNN Models with Grammatical Evolution GauriVaidya.html LuiseIlg.html MeghanaKshirsagar.html EnriqueNaredo.html ConorRyan.html
227. 1 VanneschiPoliHNC2011 Genetic Programming: Introduction, Applications, Theory and Open Issues LeonardoVanneschi.html RiccardoPoli.html
228. 41 VLASIC:2019:CIE Improving genetic algorithm performance by population initialisation with dispatching rules IvanVlasic.html MarkoDurasevic.html DomagojJakobovic.html
229. 32 DBLP:journals/asc/WanWZCBWZLG24 Label reusing based graph neural network for unbalanced classification of personalized driver genes in cancer Han-WenWan.html Meng-HanWu.html Wen-ShanZhao.html HanCheng.html YingBi.html Xian-FangWang.html Xiang-RuiZhang.html YanLi.html Wei-FengGuo.html
230. 3 Watkinson:2023:GI Updating Gin's profiler for current Java MylesWatkinson.html AlexanderEIBrownlee.html
231. 1 Weimer:2019:ICSE It Does What You Say, Not What You Mean: Lessons From A Decade of Program Repair WestleyWeimer.html ThanhVuNguyen.html ClaireLeGoues.html StephanieForrest.html
232. 1 Weise:2011:ieeeTEC Evolving Distributed Algorithms with Genetic Programming ThomasWeise.html KeTang.html
233. 1 Wen:2016:CEC Learning Ensemble of Decision Trees through Multifactorial Genetic Programming Yu-WeiWen.html Chuan-KangTing.html
234. 9 Wilson:2024:GGP On Search Trajectory Networks for Graph Genetic Programming CamiloDeLaTorre.html SylvainCussat-Blanc.html DennisGWilson.html YuriLavinas.html
235. 1 Winkler:2024:GPTP How to measure explainability and interpretability of machine learning results StephanMWinkler.html
236. 4 Worm:thesis Prioritized Grammar Enumeration: A novel method for symbolic regression TonyWorm.html
237. 10 Xing:2019:IBF Automatic Software Merging using Automated Program Repair XiaoqianXing.html KatsuhisaMaruyama.html
238. 6 Meng_Xu:ieeeTEC2 Genetic Programming for Dynamic Flexible Job Shop Scheduling: Evolution With Single Individuals and Ensembles MengXu.html YiMei.html FangfangZhang.html MengjieZhang.html
239. 37 Xue:ITJ Similarity Feature Construction for Semantic Sensor Ontology Integration via Light Genetic Programming XingsiXue.html AchyutShankar.html FrancescoFlammini.html MazdakZamani.html
240. 1 yakubu:thesis Supporting new product development using customers' online data and computational intelligence methods HananYakubu.html
241. 18 Yan:2008:gecco Learning to optimize profits beats predicting returns -: comparing techniques for financial portfolio optimisation WeiYan.html MartinVSewell.html ChristopherDClack.html
242. 6 Yunhan_Yang:2021:CEC Genetic Programming for Symbolic Regression: A Study on Fish Weight Prediction YunhanYang.html BingXue.html LinleyJesson.html MengjieZhang.html
243. 1 Yska:2018:EuroGP Genetic Programming Hyper-heuristic with Cooperative Coevolution for Dynamic Flexible Job Shop Scheduling DanielYska.html YiMei.html MengjieZhang.html
244. 8 Kunjie_Yu:JAI A genetic programming approach with adaptive region detection to skin cancer image classification KunjieYu.html JintaoLian.html YingBi.html JingLiang.html BingXue.html MengjieZhang.html
245. 2 ChuanYue:thesis Study on Bidding Strategies using Genetic Network Programming ChuanYue.html
246. 1 DissertationZaef18 Surrogate models for discrete optimization problems MartinZaefferer.html
247. 1 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
248. 1 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
249. 20 Dylon_Zeng:JRSNZ A new multi-object tracking pipeline based on computer vision techniques for mussel farms DylonZeng.html IvyLiu.html YingBi.html RossVennell.html DanaBriscoe.html BingXue.html MengjieZhang.html
250. 4 Zhang:2023:CEC Genetic Programming and Machine Learning for Scheduling FangfangZhang.html MengjieZhang.html YiMei.html SuNguyen.html
251. 6 Fangfang_Zhang:JRSNZ Health prediction for king salmon via evolutionary machine learning with genetic programming FangfangZhang.html YuyeZhang.html PaulaCasanovas.html JessicaSchattschneider.html SeumasPWalker.html BingXue.html MengjieZhang.html JaneESymonds.html
252. 6 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
253. 7 Zhang:2024:PPSN P-Mixup: Improving Generalization Performance of Evolutionary Feature Construction with Pessimistic Vicinal Risk Minimization HengzheZhang.html QiChen.html BingXue.html MengjieZhang.html WolfgangBanzhaf.html
254. 20 ZHANG:2022:knosys Evolving ensembles using multi-objective genetic programming for imbalanced classification LiangZhang2.html KefanWang.html LuyuanXu.html WenjiaSheng.html QiKang.html
255. 6 ZhangRui:ieeeTEC GPU Based Genetic Programming for Faster Feature Extraction in Binary Image Classification RuiZhang.html YananSun.html MengjieZhang.html
256. 35 ZHANG:2024:commatsci Integrative approach of machine learning and symbolic regression for stability prediction of multicomponent perovskite oxides and high-throughput screening ZhaoshengZhang.html YingjieZhang.html SijiaLiu.html
257. 28 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
258. 37 Zhou:CYB A Novel Multiobjective Genetic Programming Approach to High-Dimensional Data Classification YuZhou.html NanjianYang.html XingyueHuang.html JaesungLee.html SamKwong.html

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