Changes to Genetic Programing Bibliography since 2021/12/04

New and modified entries

New

  1. Abdulrahman:2020:IJCA Classification of Retina Diseases from OCT using Genetic Programming HadeelAbdulrahman.html MohamedMKhatib.html
  2. Al-Saati:2018:IJCA Employing Gene Expression Programming in Estimating Software Effort NajlaAkramAl-Saati.html TaghreedRiyadhAlreffaee.html
  3. Alonso:2016:CI Genetic Programming Model Regularization CesarLuisAlonso.html JoseLuisMontanaArnaiz.html CruzEnriqueBorges.html
  4. Alweshah:2015:IJCA Evolution of Software Reliability Growth Models: A Comparison of Auto-Regression and Genetic Programming Models MohammedAlweshah.html WalidAhmed.html HamzaAldabbas.html
  5. Badran:2017:IJCA Genetic Programming Feature Extraction with Different Robust Classifiers for Network Intrusion Detection KhaledMSBadran.html AlaaRohim.html
  6. Bozorg-Haddad:2017:JEE Modeling Water-Quality Parameters Using Genetic Algorithm-Least Squares Support Vector Regression and Genetic Programming OmidBozorg-Haddad.html ShimaSoleimani.html HugoALoaiciga.html
  7. 10.1162/978-0-262-31050-5-ch003 Digital Evolution Exhibits Surprising Robustness to Poor Design Decisions DavidMBryson.html CharlesOfria.html
  8. Cambronero:thesis Mining Software Artifacts for use in Automated Machine Learning JosePabloCambroneroSanchez.html
  9. DBLP:conf/kbse/CashinMWF19 Understanding Automatically-Generated Patches Through Symbolic Invariant Differences PadraicCashin.html CarianneMartinez.html WestleyWeimer.html StephanieForrest.html
  10. 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
  11. El-Henawy:2018:IJCA Meta-Heuristics Algorithms: A Survey IbrahimEl-Henawy.html NaghamAhmedAbdelmegeed.html
  12. ELMAHALAWY2021167793 Classical and quantum regression analysis for the optoelectronic performance of NTCDA/p-Si UV photodiode AhmedMEl-Mahalawy.html KareemHEl-Safty.html
  13. Fattah:thesis Volatile Oil and Gas Condensate Fluid Behavior for Material Balance Calculations and Reservoir Simulation KhaledAbdelFattahElshreef.html
  14. Garg:2015:engcomp Evolving genetic programming models of higher generalization ability in modelling of turning process AkhilGarg.html KangTai.html
  15. 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 DanielaMoctezuma.html
  16. DBLP:journals/tcs/GruauRW95 A Neural Compiler FredericGruau.html Jean-YvesRatajszczak.html GillesWiber.html
  17. DBLP:conf/kdd/HeffetzVKR20 DeepLine: AutoML Tool for Pipelines Generation using Deep Reinforcement Learning and Hierarchical Actions Filtering YuvalHeffetz.html RomanVainshtein.html GiladKatz.html LiorRokach.html
  18. DBLP:phd/dnb/Hein19 Interpretable Reinforcement Learning Policies by Evolutionary Computation DanielHein.html
  19. Hein:2021:GECCOcomp Trustworthy AI for Process Automation on a Chylla-Haase Polymerization Reactor DanielHein.html DanielLabisch.html
  20. CSTN-190 Visualisation of Combinatorial Program Space and Related Metrics AlwynVHusselmann.html KenHawick.html
  21. CSTN-192 Geometric Optimisation using Karva for Graphical Processing Units AlwynVHusselmann.html KenHawick.html
  22. Husselmann:thesis Data-parallel structural optimisation in agent-based modelling AlwynVHusselmann.html
  23. Husselmann:2015:AISBq About the Cover AlwynVHusselmann.html
  24. Khatib:2020:IJCA Automated Discovery of Symbolic Approximation Formulae using Genetic Programming MohamedMKhatib.html
  25. article959 Software Security Through Targeted Diversification NessimKisserli.html JanCappaert.html BartPreneel.html
  26. langdon:2017:LHS Long-Term Stability of Genetic Programming Landscapes WilliamBLangdon.html
  27. Loginov:thesis On increasing the scope of Genetic Programming trading agents AlexanderLoginov.html
  28. Lu:2004:CI Detecting New Forms of Network Intrusion Using Genetic Programming WeiLu.html IssaTraore.html
  29. Mezher:2011:IJCIE Genetic Folding: Analyzing the Mercer's Kernels Effect in Support Vector Machine using Genetic Folding MohdAMezher.html MaysamFAbbod.html
  30. 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
  31. Oz:thesis Novel Approach to Analyze Impedance Spectroscopy of Electrochemical Power Sources AlonOz.html
  32. polgreen-a Synthesis without Syntactic Templates ElizabethPolgreen.html
  33. Prcic:thesis Application of genetic programming in wireless communications networks space optimization Vjekoslav-LeonardPrcic.html
  34. DBLP:conf/ijcai/RakotoarisonSS19 Automated Machine Learning with Monte-Carlo Tree Search HerilalainaRakotoarison.html MarcSchoenauer.html MicheleSebag.html
  35. Sato:2020:QRS-C Specification-based Test Case Generation with Constrained Genetic Programming YujiSato.html
  36. DBLP:conf/icmc/SmithW09 Augmenting Computer Music with Just-In-Time Compilation WesleyHokeSmith.html GrahamWakefield.html
  37. SonolikarPatilMankarTambeKulkarni+2017 Genetic Programming based Drag Model with Improved Prediction Accuracy for Fluidization Systems RupaliRamSonolikar.html MahendraPPatil.html RajuBMankar.html SanjeevSTambe.html BhaskarDKulkarni.html
  38. Tan:2016:PeerJ A genetic programming approach to oral cancer prognosis MeiSzeTan.html JingWeiTan.html Siow-WeeChang.html HwaJenYap.html SameemBintiAbdulKareem.html RosnahBintiMohdZain.html
  39. Tripathi:2018:IJCA Identification of Plant Species using Supervised Machine Learning AnkitaTripathi.html RaviDattaSharma.html ShrawanKumarTrivedi.html
  40. 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
  41. Vahdat:thesis Symbiotic evolutionary subspace clustering (S-ESC) AliVahdat.html
  42. DBLP:journals/pieee/WangO18 Machine Learning in Compiler Optimization ZhengWang2.html MichaelFPO'Boyle.html
  43. G_C_Wilson:thesis Probabilistic Adaptive Mapping Developmental Genetic Programming GarnettCarlWilson.html
  44. Xu:2018:LubricationScience Wear particle classification using genetic programming evolved features BinXu.html GuangruiWen.html ZhifenZhang.html FengChen.html
  45. Zarei:2021:SciRep Machine-learning algorithms for forecast-informed reservoir operation (FIRO) to reduce flood damages ManizheZarei.html OmidBozorg-Haddad.html SaharBaghban.html MohammadDelpasand.html ErfanGoharian.html HugoALoaiciga.html
  46. ZUTTY-DISSERTATION-2018 Automated machine learning: A biologically inspired approach JasonZutty.html

Modified

  1. 6 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
  2. 31 conf/ijcci/AlonsoMB13 Model Complexity Control in Straight Line Program Genetic Programming CesarLuisAlonso.html JoseLuisMontanaArnaiz.html CruzEnriqueBorges.html
  3. 1 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 EdKeedwell.html AnnaEsparcia-Alcazar.html FrankWilliamMoore.html JaumeBacardit.html IgnacioArnaldoLucas.html KalyanVeeramachaneni.html Una-MayO'Reilly.html StephenLSmith.html StefanoCagnoni.html RobertMPatton.html StevenMGustafson.html 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
  4. 1 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 MarkoKomac.html OlenaChernieva.html MihaKovacic.html MatjazMikos.html MicheleCali.html
  5. 5 Banks:gecco06lbp A Comparison of Evolutionary Computing Techniques Used to Model Bi-Directional Reflectance Distribution Functions EdwinRogerBanks.html EdwinNunez.html PaulAgarwal.html MarshallMcBride.html RonaldLiedel.html ClaudetteOwens.html
  6. 2 Banzhaf:2021:GPTP Genetic Programming Theory and Practice XVIII WolfgangBanzhaf.html LeonardoTrujillo.html StephanMWinkler.html WilliamPWorzel.html
  7. 1 Bautu20071q Quantum Circuit Design By Means Of Genetic Programming AndreiBautu.html ElenaBautu.html
  8. 6 Bi:TEVC2 A Divide-and-Conquer Genetic Programming Algorithm with Ensembles for Image Classification YingBi.html BingXue.html MengjieZhang.html
  9. 1 Edgar_Enrique_Casasola_Murillo Desarrollo de un modelo computacional para la especificacion de sistemas de analisis de sentimiento con comentarios de redes sociales en espanol EdgarEnriqueCasasolaMurillo.html
  10. 2 Castle12 Evolving High-Level Imperative Program Trees with Genetic Programming TomCastle.html
  11. 1 cleary:2005:EGEWAGAATKP Extending Grammatical Evolution with Attribute Grammars: An Application to Knapsack Problems RobertCleary.html
  12. 5 Correia:2021:evomusart Evolving Image Enhancement Pipelines JoaoNunoGoncalvesCostaCavaleiroCorreia.html LeonardoVieira.html NereidaRodriguez-Fernandez.html JuanJesusRomeroCardalda.html PenousalMachado.html
  13. 8 danglot:hal-01378523 Correctness attraction: a study of stability of software behavior under runtime perturbation BenjaminDanglot.html PhilippePreux.html BenoitBaudry.html MartinMonperrus.html
  14. 1 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
  15. 1 Dogan:2017:ELECO Using evolutionary algorithms for designing 3D novel objects YavuzSelimDogan.html FatihVehbiCelebi.html HilalKaya.html
  16. 21 Dolson:2021:GPTP What can phylogenetic metrics tell us about useful diversity in evolutionary algorithms? EmilyDolson.html
  17. 5 Evans:2020:CEC An Adaptive and Near Parameter-free Evolutionary Computation Approach Towards True Automation in AutoML BenjaminEvans.html BingXue.html MengjieZhang.html
  18. 1 FLAIRS98-020 Numeric Mutation: Improved Search in Genetic Programming MatthewPEvett.html ThomasFernandez.html
  19. 1 Fattah:2012:OGB A new approach calculate oil-gas ratio for gas condensate and volatile oil reservoirs using genetic programming KhaledAbdelFattahElshreef.html
  20. 1 DBLP:phd/dnb/Fischer19 Machine learning in financial markets ThomasGFischer.html
  21. 1 Fonseca:2021:GPTP Grammatical Evolution Mapping for Semantically-Constrained Genetic Programming AlcidesFonseca.html PauloAlexandreCanelasdosSantos.html GuilhermeEspada.html SaraSilva.html
  22. 1 Forrest:2021:GI Engineering and Evolving Software StephanieForrest.html
  23. 1 Foster:2021:ICTSS Reverse-Engineering EFSMs with Data Dependencies MichaelFoster.html JohnDerrick.html NeilWalkinshaw.html
  24. 17 GELMAN:2017:JPS An aluminum - ionic liquid interface sustaining a durable Al-air battery DannyGelman.html BorisShvartsev.html ItamarWallwater.html ShahafKozokaro.html VickyFidelsky.html AdiSagy.html AlonOz.html SiomaBaltianski.html YoedTsur.html YairEin-Eli.html
  25. 1 Gonzalez:2020:CEC Improved Training Speed, Accuracy, and Data Utilization Through Loss Function Optimization SantiagoGonzalez.html RistoMiikkulainen.html
  26. 3 Goodman:2020:sigevolution Humies 2020 Competition Yields Spectacular Winners! ErikGoodman.html
  27. 3 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
  28. 29 Gregor:2016:ELEKTRO Using LLVM-based JIT compilation in genetic programming MichalGregor.html JurajSpalek.html
  29. 1 Grochol:2020:CEC Evolutionary Design of Hash Functions for IPv6 Network Flow Hashing DavidGrochol.html LukasSekanina.html
  30. 2 Guizzo:2021:ICSE Enhancing Genetic Improvement of Software with Regression Test Selection GiovaniGuizzo.html JustynaPetke.html FedericaSarro.html MarkHarman.html
  31. 1 Hammami:2020:CEC Class Dependent Feature Construction as a Bi-level optimization Problem MarwaHammami.html SlimBechikh.html MohamedMakhlouf.html Chih-ChengHung.html LamjedBenSaid.html
  32. 2 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
  33. 1 hardinggpem2009 Distributed Genetic Programming on GPUs using CUDA SimonHarding.html WolfgangBanzhaf.html
  34. 1 Harris:1996:gpcomRN GP-COM: A Distributed, Component-Based Genetic Programming System in C++ ChristopherHarris.html BernardBuxton.html
  35. 6 Harris:1996:gpcom GP-COM: A Distributed, Component-Based Genetic Programming System in C++ ChristopherHarris.html BernardBuxton.html
  36. 16 Hausknecht:2012:GECCO HyperNEAT-GGP: a hyperNEAT-based Atari General Game Player MatthewHausknecht.html PiyushKhandelwal.html RistoMiikkulainen.html PeterStone.html
  37. 1 Heaton:thesis Automated Feature Engineering for Deep Neural Networks with Genetic Programming JeffHeaton.html
  38. 2 heddad:evows04 Evolving Regular Expression-based Sequence Classifiers for Protein Nuclear Localisation AmineHeddad.html MarkusBrameier.html RobertMMacCallum.html
  39. 6 Hong:CIS Hyper-heuristic approach: automatically designing adaptive mutation operators for evolutionary programming LibinHong.html JohnRWoodward.html EnderOzcan.html FuchangLiu.html
  40. 1 Huelsbergen:1997:lrsemlp Learning Recursive Sequences via Evolution of Machine-Language Programs LorenzHuelsbergen.html
  41. 1 Hughes:2020:CEC Gait Model Analysis of Parkinson's Disease Patients under Cognitive Load JamesAlexanderHughes.html SheridanHoughten.html JosephAlexanderBrown.html
  42. 1 Husa:2020:CEC Evolving Cryptographic Boolean Functions with Minimal Multiplicative Complexity JakubHusa.html LukasSekanina.html
  43. 1 Igel:2014:GECCO GECCO '14: Proceedings of the 2014 conference on Genetic and evolutionary computation ChristianIgel.html DirkVArnold.html ChristianGagne.html ElenaPopovici.html AnneAuger.html JaumeBacardit.html DimoBrockhoff.html StefanoCagnoni.html KalyanmoyDeb.html BenjaminDoerr.html JamesAFoster.html TobiasGlasmachers.html EmmaHart.html MalcolmHeywood.html HitoshiIba.html ChristianJacob.html ThomasJansen.html YaochuJin.html MarouaneKessentini.html JoshuaDKnowles.html WilliamBLangdon.html PedroLarranaga.html SeanLuke.html GabrielLuque.html JohnAWMcCall.html MarcoAMontesdeOca.html AlisonAMotsinger.html Yew-SoonOng.html MichaelEPalmer.html KonstantinosEParsopoulos.html GuntherRRaidl.html SebastianRisi.html GuentherRuhe.html TomSchaul.html ThomasSchmickl.html BernhardSendhoff.html KennethOStanley.html ThomasStuetzle.html DirkThierens.html JulianTogelius.html CarstenWitt.html ChristineZarges.html
  44. 18 Jabeen:2013:Neurocomputing Two-stage learning for multi-class classification using genetic programming HajiraJabeen.html AbdulRaufBaig.html
  45. 1 Jackson:2020:CEC Genetic Programming Hyper-heuristic with Cluster Awareness for Stochastic Team Orienteering Problem with Time Windows JerichoJackson.html YiMei.html
  46. 1 Jiang:2016:WPMC Multi-gene genetic programming based modulation classification using multinomial logistic regression YizhouJiang.html SaiHuang.html YifanZhang.html ZhiyongFeng.html
  47. 5 KHosraviani_2005 An Evolutionary Approach for Project Organization Design: Producing Human-Competitive Results using Genetic Programming BijanKHosraviani.html
  48. 2 DBLP:conf/ifip/KilburnGS59 Experiments in machine learning and thinking TomKilburn.html RichardLGrimsdale.html FrankHSumner.html
  49. 1 Kovacic:2010:RMZ Critical inclusion size in spring steel and genetic programming MihaKovacic.html SandraSencic.html
  50. 3 langdon:2000:fairxo Size Fair and Homologous Tree Genetic Programming Crossovers WilliamBLangdon.html
  51. 1 langdon:2007:gpem Scaling of Program Functionality WilliamBLangdon.html
  52. 1 Langdon:2021:GPTP Fitness First WilliamBLangdon.html
  53. 2 Le:2016:CEC Complexity measures in Genetic Programming Learning: A Brief Review NamLe.html NguyenXuanHoai.html AnthonyBrabazon.html ThuongPhamThi.html
  54. 1 Le:2014:CISDA Malware detection using genetic programming ThiAnhLe.html ThiHuongChu.html QuangUyNguyen.html NguyenXuanHoai.html
  55. 5 Lensen:ieeeCYB Genetic Programming for Evolving a Front of Interpretable Models for Data Visualization AndrewLensen.html BingXue.html MengjieZhang.html
  56. 3 Liu:2015:CMMM Genetic Programming Based Ensemble System for Microarray Data Classification Kun-HongLiu.html MuChenxuanTong.html Shu-TongXie.html VincentToYeeNg.html
  57. 1 lucas:2004:eurogp Exploiting Reflection in Object Oriented Genetic Programming SimonMLucas.html
  58. 1 Luke1:2001:GECCO A Survey and Comparison of Tree Generation Algorithms SeanLuke.html LiviuPanait.html
  59. 25 MA:2020:KBS A filter-based feature construction and feature selection approach for classification using Genetic Programming JianbinMa.html Xiaoying_Sharon_Gao.html
  60. 1 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
  61. 6 McPhee:1995:acrep Accurate Replication in Genetic Programming NicholasFreitagMcPhee.html JustinDarwinMiller.html
  62. 1 Clark:2021:ASE-NIER HyperGI: Automated Detection and Repair of Information Flow Leakage IbrahimMesecan.html DanielBlackwell.html DavidClark.html MyraBCohen.html JustynaPetke.html
  63. 1 Milano:2018:arxiv Scaling Up Cartesian Genetic Programming through Preferential Selection of Larger Solutions NicolaMilano.html StefanoNolfi.html
  64. 1 Mori:2007:IES How Different are Genetic Programs? Entropy Methods for Studying Diversity andComplexity in Genetic Programming NaokiMori.html RI_Bob_McKay.html NguyenXuanHoai.html DarylEssam.html
  65. 1 Nunez:2006:HPCMP High Performance Evolutionary Computing EdwinNunez.html EdwinRogerBanks.html PaulAgarwal.html MarshallMcBride.html RonaldLiedel.html
  66. 1 Ojha:2020:CEC Multi-Objective Optimisation of Multi-Output Neural Trees VarunKumarOjha.html GiuseppeNicosia.html
  67. 2 DBLP:conf/icai/ONeillB06 Grammatical Differential Evolution MichaelO'Neill.html AnthonyBrabazon.html
  68. 1 Pappa:2015:GECCOcomp GECCO Companion '15: Proceedings of the Companion Publication of the 2015 Annual Conference on Genetic and Evolutionary Computation GiseleLPappa.html AnabelaSimoes.html DirkSudholt.html WilliamBLangdon.html DavidRobertWhite.html JustynaPetke.html FrankWilliamMoore.html NurZincir-Heywood.html JoseSantos.html JuliaHandl.html AmardaShehu.html DavidWalker.html RichardEverson.html JonathanEFieldsend.html KarthikKuber.html MasayaNakata.html KamranShafi.html JohnRWoodward.html DanielRTauritz.html ManuelLopez-Ibanez.html StefanWagner.html MichaelAffenzeller.html YouheiAkimoto.html AnneAuger.html DimoBrockhoff.html NikolausHansen.html OlafMersmann.html PetrPosik.html TeaTusar.html BorisNaujoks.html AbrahamPrieto.html NicolasBredeche.html EvertHaasdijk.html ChrisSimons.html JerrySwan.html KrzysztofKrawiec.html JamesSmith.html ColinGJohnson.html AlbertoMoraglio.html MichaelO'Neill.html StephenLSmith.html StefanoCagnoni.html RobertMPatton.html
  69. 1 Pappa:2016:GECCOcomp GECCO '16 Companion: Proceedings of the 2016 on Genetic and Evolutionary Computation Conference Companion GiseleLPappa.html MarkusWagner.html JohnRWoodward.html DanielRTauritz.html ManuelLopez-Ibanez.html MaximBuzdalov.html AnneAuger.html DimoBrockhoff.html NikolausHansen.html TeaTusar.html DejanTusar.html TobiasWagner.html Una-MayO'Reilly.html ErikHemberg.html NicoleHoffman.html StephaneDoncieux.html JoshuaEAuerbach.html RichardDuro.html HarolddeVladar.html JoseSantos.html JuliaHandl.html AmardaShehu.html StefanWagner.html MichaelAffenzeller.html VanessaVolz.html SamadhiNallaperuma.html FrankMoore.html GunesKayacik.html WestleyWeimer.html JustynaPetke.html DavidRobertWhite.html SilvinoFernandezAlzuetaArcelor.html PabloValledor.html ThomasStuetzle.html KuberKarthik.html MasayaNakata.html ShafiKamran.html GiovanniSquillero.html AlbertoTonda.html StephenLSmith.html StefanoCagnoni.html RobertMPatton.html PeterANBosman.html JohnAWMcCall.html DavidWalker.html RichardEverson.html JonathanEFieldsend.html CarolaDoerr.html JuliaHandl.html EmmaHart.html GabrielaOchoa.html AmardaShehu.html TeaTusar.html ChristineZarges.html NurZincir-Heywood.html AlmaRahat.html RichardEverson.html JonathanEFieldsend.html HandingWang.html YaochuJin.html
  70. 6 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
  71. 24 REIKARD:2017:REF 7 - Wave energy forecasting GordonReikard.html
  72. 1 Rodrigues:2020:CEC A Study of Fitness Landscapes for Neuroevolution NunoMiguelRodrigues.html SaraSilva.html LeonardoVanneschi.html
  73. 1 Segarceanu:2014:CR Book review: Genetic Programming Theory and Practice X SvetlanaSegarceanu.html
  74. 1 Silva:2015:GECCO GECCO '15: Proceedings of the 2015 Annual Conference on Genetic and Evolutionary Computation SaraSilva.html AnnaEsparcia-Alcazar.html ManuelLopez-Ibanez.html SanazMostaghim.html JonTimmis.html ChristineZarges.html LuisCorreia.html TerenceSoule.html MarioGiacobini.html RyanJUrbanowicz.html YouheiAkimoto.html TobiasGlasmachers.html FranciscoFernandezdeVega.html AmyHoover.html PedroLarranaga.html MartaSoto.html CarlosCotta.html FranciscoJoseBaptistaPereira.html JuliaHandl.html JanKoutnik.html AntonioGaspar-Cunha.html HeikeTrautmann.html Jean-BaptisteMouret.html SebastianRisi.html ErnestoCosta.html OliverSchuetze.html KrzysztofKrawiec.html AlbertoMoraglio.html JulianFMiller.html PawelWidera.html StefanoCagnoni.html JuanJulianMerelo.html EmmaHart.html LeonardoTrujillo.html MarouaneKessentini.html GabrielaOchoa.html FranciscoChicano.html CarolaDoerr.html
  75. 1 Singhal:2015:INDIACom Investigation of effect of reducing dataset's size on classification algorithms NeelamSinghal.html MohdAshraf.html
  76. 2 singleton:byte Genetic Programming with C++ AndrewSingleton.html
  77. 1 Sipper:2020:Programmatic_Boosting Programmatic Boosting MosheSipper.html JasonHMoore.html
  78. 1 Sobania:2022:GPEM Genetic programming for iterative numerical methods DominikSobania.html JonasSchmitt.html HaraldKoestler.html FranzRothlauf.html
  79. 2 spector:2002:GPEM Genetic Programming and Autoconstructive Evolution with the Push Programming Language LeeSpector.html AlanRobinson.html
  80. 3 Srivastava:2016:INDIACom Circuit segmentation using GP in FPGA's technology mapping AtulKSrivastava.html HimanshuShishodia.html HimanshuJaypee.html
  81. 9 2013StasinakisPhD Applications of hybrid neural networks and genetic programming in financial forecasting CharalamposStasinakis.html
  82. 1 StephensonAMO03 Meta optimization: improving compiler heuristics with machine learning MarkStephenson.html SamanAmarasinghe.html MartinCMartin.html Una-MayO'Reilly.html
  83. 2 CS-TR-04-01 Bloat is Unnatural: An Analysis of Changes in Variable Chromosome Length Absent Selection Pressure HalStringer.html AnnieSWu.html
  84. 1 phd/dnb/Thorhauer17 Bias and locality in grammatical evolution AnnThorhauer.html
  85. 1 Tu:2020:CEC Learning Regular Expressions for Interpretable Medical Text Classification Using a Pool-based Simulated Annealing Approach ChaofanTu.html MenglinCui.html
  86. 1 vasicek:2012:EuroGP Efficient Phenotype Evaluation in Cartesian Genetic Programming ZdenekVasicek.html KarelSlany.html
  87. 3 Veerapen:2018:GPEM Visualising the global structure of search landscapes: genetic improvement as a case study NadarajenVeerapen.html GabrielaOchoa.html
  88. 1 Wagner:2017:GECCOcomp GECCO '17: Proceedings of the Genetic and Evolutionary Computation Conference Companion MarkusWagner.html JuliaHandl.html RyanJUrbanowicz.html KuberKarthik.html DaniloVasconcellosVargas.html SilvinoFernandezAlzueta.html PabloValledorPellicer.html ThomasStuetzle.html JohnRWoodward.html DanielRTauritz.html ManuelLopez-Ibanez.html AnneAuger.html DimoBrockhoff.html NikolausHansen.html TeaTusar.html DejanTusar.html StephaneDoncieux.html JoshuaEAuerbach.html RichardDuro.html HarolddeVladar.html JoseSantos.html AmardaShehu.html MostafaMHashimEllabaan.html StefanWagner.html MichaelAffenzeller.html FrankNeumann.html MarkusWagner.html PaulKaufmann.html OliverKramer.html PGMBaltus.html GiovanniIacca.html MNAndraud.html VanessaVolz.html BorisNaujoks.html FrankMoore.html GunesKayacik.html NurZincir-Heywood.html AnnaEsparcia-Alcazar.html WestleyWeimer.html JustynaPetke.html DavidRobertWhite.html WilliamBLangdon.html NadarajenVeerapen.html FabioDaolio.html ArnaudLiefooghe.html SebastienVerel.html GabrielaOchoa.html GiovanniSquillero.html AlbertoTonda.html StephenLSmith.html StefanoCagnoni.html RobertMPatton.html JohnAWMcCall.html DirkThierens.html WilliamLaCava.html RandalOlson.html PatrykOrzechowski.html ErnestoTarantino.html IvanoeDeFalco.html AntonioDellaCioppa.html UmbertoScafuri.html NicolasBredeche.html EvertHaasdijk.html AbrahamPrieto.html HeikoHamann.html JaredMoore.html AnthonyClark.html DavidWalker.html RichardEverson.html JonathanEFieldsend.html BogdanFilipic.html AlmaRahat.html HandingWang.html YaochuJin.html
  89. 1 Wagy:thesis Enabling Machine Science through Distributed Human Computing MarkWagy.html
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