Changes to Genetic Programing Bibliography since 2025/03/08

New and modified entries

New

  1. ahmed:thesis Genetic Programming for Biomarker Detection in Classification of Mass Spectrometry Data SohaAhmed.html
  2. Muhammad_Sarmad_Ali:thesis Automatic Production Selection in Grammatical Evolution MuhammadSarmadAli.html
  3. baum:2000:NeurComp Evolution of Cooperative Problem Solving in an Artificial Economy EricBBaum.html IgorBDurdanovic.html
  4. benouhiba:2021:FI A Multi-level Refinement Approach for Structural Synthesis of Optimal Probabilistic Models ToufikBenouhiba.html
  5. bladek:thesis Machine Learning and Formal Verification for Acquisition of Knowledge in Heuristic Program Synthesis IwoBladek.html
  6. cilliers:thesis Maintaining population diversity in evolutionary algorithms via epigenetics and speciation MichaelCilliers.html
  7. Crochepierre:thesis Apprentissage automatique interactif pour les operateurs du reseau electrique LaureCrochepierre.html
  8. csuvik:2025:TSE GenProgJS: a Baseline System for Test-based Automated Repair of JavaScript Programs ViktorCsuvik.html DanielHorvath.html MarkLajko.html LaszloVidacs.html
  9. ekblad:2021:WR Toward Data-Driven Generation and Evaluation of Model Structure for Integrated Representations of Human Behavior in Water Resources Systems LiamEkblad.html JonathanDHerman.html
  10. QinglanFan:thesis Improving Genetic Programming for Image Classification QinglanFan.html
  11. DBLP:conf/ivcnz/FanB0SF024 Automatic Quantification of King Salmon Farm Net Occlusion Via Biofouling Detection QinglanFan.html YingBi.html BingXue.html JaneESymonds.html LaurenMFletcher.html MengjieZhang.html
  12. Garbrecht:thesis A physics-informed machine learning framework for constitutive model development KarlMichaelGarbrecht.html
  13. ghazouani:habilitation Image Analysis and Understanding: Application to texture classification, facial expression recognition and breast cancer diagnosis HaythemGhazouani.html
  14. Hanna:2025:ASEJ Reinforcement learning for mutation operator selection in automated program repair CarolHanna.html AymericBlot.html JustynaPetke.html
  15. DBLP:phd/ethos/Hirayama07 Evolutionary algorithms for practical sensor fault tolerant control YoshikazuHirayama.html
  16. keren:2023:SciRep A computational framework for physics-informed symbolic regression with straightforward integration of domain knowledge LironSimonKeren.html AlexLiberzon.html TeddyLazebnik.html
  17. Kilyen:2013:ACAM Automatic Synthesis of Control Components for Cyber-Physical Systems AttilaOrsKilyen.html MariaMSanta.html TiberiuSLetia.html
  18. Kilyen:teza Automatic synthesis of control components for cyber-physical systems AttilaOrsKilyen.html
  19. kinneer:2021:ACMtAAS Information Reuse and Stochastic Search: Managing Uncertainty in Self-* Systems CodyKinneer.html DavidGarlan.html ClaireLeGoues.html
  20. kodytek:2024:pone Automated code development based on genetic programming in graphical programming language: A pilot study PavelKodytek.html AlexandraBodzas.html JanZidek.html
  21. Kuepper24 Enhancing State-of-the-Art Techniques Generating Low-Level Code for Cryptographic Arithmetic JoelKuepper.html
  22. LaCava:2025:GPEM A review of ``Symbolic Regression'' by Gabriel Kronberger, Bogdan Burlacu, Michael Kommenda, Stephan M. Winkler, and Michael Affenzeller, ISBN 978-1-138-05481-3, 2024, CRC Press WilliamLaCava.html
  23. Landaeta:US11972842B2 Automated feature extraction using genetic programming DavidJamesLandaeta.html
  24. Langdon:2025:evostarLBA gem5/Z3/gcc/Clang/Redis glibc Heap Fitness Landscapes WilliamBLangdon.html JustynaPetke.html DavidClark.html
  25. Mastrocola:2025:GPEM Julian Togelius: Artificial General Intelligence, The MIT Press Essential Knowledge series, 2024, paperback, 230 pages, ISBN:9780262549349 VicenteMartinMastrocola.html
  26. maurya:2025:ExSy Medical Data Classification Using Genetic Programming: A Systematic Literature Review PratibhaMaurya.html AratiKushwaha.html OmPrakash2.html
  27. miu:2015:CHTMD Combine Harvesters: Theory, Modeling, and Design PetreMiu.html
  28. Moraglio:2025:GPEM Editorial introduction to the special issue for the tenth anniversary of geometric semantic genetic programming AlbertoMoraglio.html KrzysztofKrawiec.html ColinGJohnson.html
  29. olson:2013:RSIF Predator confusion is sufficient to evolve swarming behaviour RandalSOlson.html ArendHintze.html FredCDyer.html DavidBKnoester.html ChristophAdami.html
  30. DBLP:journals/swevo/QiJCBM25 An evolutionary optimization-learning hybrid algorithm for energy resource management RuiQi.html Ya-HuiJia.html Wei-NengChen.html YingBi.html YiMei.html
  31. Rolla_Dissertation Applications of Evolutionary Algorithms in Ultra-High Energy Neutrino Astrophysics JulieARolla.html
  32. Rolla:2023:PhyRevD Using evolutionary algorithms to design antennas with greater sensitivity to ultrahigh energy neutrinos JulieARolla.html AlexanderMachtay.html AlexanderPatton.html WolfgangBanzhaf.html AmyConnolly.html RyanDebolt.html LeoDeer.html EthanFahimi.html EliotFerstle.html PKuzma.html CarlPfendner.html BenSipe.html KaiStaats.html StephanieWissel.html
  33. Lijun_Sun:thesis Multi-agent Coordination Algorithms for Pursuit-Evasion LijunSun.html
  34. Velasquez-Mora:2024:REINCISOL Modern Control Systems for industrial processes: State of the art for cases of traffic congestion, through resolution of genetic and control algorithms JonathanGeovannyVelasquezMora.html CarlosPatricioArroyoVilela.html
  35. valeri:2023:cels BioAutoMATED: An end-to-end automated machine learning tool for explanation and design of biological sequences JacquelineAValeri.html LuisRSoenksen.html KatherineMCollins.html PradeepRamesh.html GeorgeCai.html RaniPowers.html NicolaasMAngenent-Mari.html DiogoMCamacho.html FelixWong.html TimothyKLu.html JamesJCollins.html
  36. Wells:2024:EGLSF Evolving Antennas From Building Blocks Using Evolutionary Algorithms DylanWells.html JulieARolla.html JacobDWeiler.html AmyConnolly.html BryanReynolds.html
  37. DBLP:journals/cea/WenLBXSSWW25 Customized crop feature construction using genetic programming for early- and in-season crop mapping CaiyunWen.html MiaoLu.html YingBi.html LangXia.html JingSun.html YunShi.html YanbingWei.html WenbinWu.html
  38. wood:2007:PRSB Evolving the selfish herd: emergence of distinct aggregating strategies in an individual-based model AJamieWood.html GraemeJAckland.html
  39. DBLP:conf/ivcnz/ZengBL0V024 Genetic Programming-Based Multi-Object Matching for Mussel Floats in Mussel Farm Images DylonZeng.html YingBi.html IvyLiu.html BingXue.html RossVennell.html MengjieZhang.html
  40. DBLP:journals/swevo/ZhangBLXZ25 Multi-objective genetic programming based on decomposition for feature learning in image classification TuoZhang.html YingBi.html JingLiang.html BingXue.html MengjieZhang.html

Modified

  1. 2 DBLP:conf/ausai/AhmedZP12 Genetic Programming for Biomarker Detection in Mass Spectrometry Data SohaAhmed.html MengjieZhang.html LifengPeng.html
  2. 2 Ahmed:2013:evobio Feature Selection and Classification of High Dimensional Mass Spectrometry Data: A Genetic Programming Approach SohaAhmed.html MengjieZhang.html LifengPeng.html
  3. 24 Ahmed:2013:CEC Enhanced Feature Selection for Biomarker Discovery in LC-MS Data using GP SohaAhmed.html MengjieZhang.html LifengPeng.html
  4. 2 Ahmed:2014:CEC A New GP-Based Wrapper Feature Construction Approach to Classification and Biomarker Identification SohaAhmed.html MengjieZhang.html LifengPeng.html
  5. 29 Ahmed:2014:GECCOa Multiple feature construction for effective biomarker identification and classification using genetic programming SohaAhmed.html MengjieZhang.html LifengPeng.html BingXue.html
  6. 2 Ahmed:2014:CS Improving Feature Ranking for Biomarker Discovery in Proteomics Mass Spectrometry Data using Genetic Programming SohaAhmed.html MengjieZhang.html LifengPeng.html
  7. 3 conf/evoW/AhmedZPX16 A Multi-objective Genetic Programming Biomarker Detection Approach in Mass Spectrometry Data SohaAhmed.html MengjieZhang.html LifengPeng.html BingXue.html
  8. 1 alharthi:2025:EuroGP Ghost Swarms: Learning Swarm Rules from Environmental Changes Alone KhuludAlharthi.html SZahraaAbdallah.html SabineHauert.html
  9. 27 Ali:2022:ICAIoT Optimization of the Number and Placement of Routers in Wireless Mesh Networks MohammedSadeqAliAli.html MesutCevik.html
  10. 7 Bakurov:2024:GPTP Sharpness-Aware Minimization in Genetic Programming IllyaBakurov.html NathanielHaut.html WolfgangBanzhaf.html
  11. 1 Bautu20071 Numerical Solution For Fredholm First Kind Integral Equations Occurring In Synthesis of Electromagnetic Fields ElenaBautu.html ElenaPelican.html
  12. 1 Beham:2016:OKC:2908961.2931724 Optimization Knowledge Center: A Decision Support System for Heuristic Optimization AndreasBeham.html StefanWagner.html MichaelAffenzeller.html
  13. 1 brotto-rebuli:2023:GECCOcomp A Comparison of Structural Complexity Metrics for Explainable Genetic Programming KarinaBrottoRebuli.html MarioGiacobini.html SaraSilva.html LeonardoVanneschi.html
  14. 8 Burlacu:2024:GPTP Revisiting Gradient-Based Local Search in Symbolic Regression BogdanBurlacu.html StephanMWinkler.html MichaelAffenzeller.html
  15. 1 carlet:2025:EuroGP A Systematic Evaluation of Evolving Highly Nonlinear Boolean Functions in Odd Sizes ClaudeCarlet.html MarkoDurasevic.html DomagojJakobovic.html StjepanPicek.html LucaMariot.html
  16. 1 CHOI:2017:SEC Artificial life based on boids model and evolutionary chaotic neural networks for creating artworks TaeJongChoi.html ChangWookAhn.html
  17. 2 christensen:2002:EuroGP An Analysis of Koza's Computational Effort Statistic for Genetic Programming SteffenChristensen.html FranzOppacher.html
  18. 1 COLMENAR:2018:Energy Automatic generation of models for energy demand estimation using Grammatical Evolution JManuelColmenar.html JoseIgnacioHidalgoPerez.html SanchoSalcedo-Sanz.html
  19. 7 Crary:2024:GPTP It's Time to Revisit the Use of FPGAs for Genetic Programming ChristopherCCrary.html GregStitt.html BogdanBurlacu.html WolfgangBanzhaf.html
  20. 15 DAGDIA:2020:KDBDAEO When Evolutionary Computing Meets Astro- and Geoinformatics ZainebChellyDagdia.html MiroslavMirchev.html
  21. 3 daida:1999:CVRMCGPGM Challenges with Verification, Repeatability, and Meaningful Comparison in Genetic Programming: Gibson's Magic JasonMDaida.html DerrickSAmpy.html MichaelRatanasavetavadhana.html HsiaoleiLi.html OmarAChaudhri.html
  22. 9 De-La-Torre:2024:PPSN Multi-Modal Adaptive Graph Evolution for Program Synthesis CamiloDeLaTorre.html YuriLavinas.html KevinCortacero.html DennisGWilson.html SylvainCussat-Blanc.html
  23. 1 de-la-torre:2025:EuroGP Evolved and Transparent Pipelines for Biomedical Image Classification CamiloDeLaTorre.html GiorgiaNadizar.html YuriLavinas.html RobinSchwob.html CamilleFranchet.html HerveLuga.html DennisGWilson.html SylvainCussat-Blanc.html
  24. 2 GDI0605scr Using Information fusion, machine learning, and global optimisation to increase the accuracy of finding and understanding items interest in the subsurface LarryMDeschaine.html
  25. Dingle:2024:GPTP Simplicity Bias, Algorithmic Probability, and Biological Evolution KamaludinDingle.html
  26. 1 doquet:2025:EuroGP Unified piecewise symbolic regression GuillaumeDoquet.html
  27. 1 durasevic:2025:EuroGP Designing Lookahead Relocation Rules for the Container Relocation Problem with Genetic Programming MarkoDurasevic.html MatejaDumic.html FranciscoJavierGilGala.html DomagojJakobovic.html
  28. Earl:2024:GPTP Principles of Persuasion: What changes minds AllisonEarl.html
  29. 1 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
  30. 1 farinati:2025:EuroGP Exploring the Impact of Data Scale on Mutation Step Size in SLIM-GSGP DavideFarinati.html GloriaPietropolli.html LeonardoVanneschi.html
  31. 8 Fredericks:2024:GPTP Crafting Generative Art Through Genetic Improvement: Managing Creative Outputs in Diverse Fitness Landscapes ErikMFredericks.html DentonBobeldyk.html JaredMMoore.html
  32. 8 Garnica:2024:GPTP Tree-Based Grammatical Evolution with Non-Encoding Nodes MarinadelaCruzEcheandia.html OscarGarnica.html JoseManuelVelascoCabo.html DanielParraRodriguez.html JoseIgnacioHidalgoPerez.html
  33. 1 geiger:2025:EuroGP Was Tournament Selection All We Ever Needed? A Critical Reflection on Lexicase Selection AlinaGeiger.html MartinBriesch.html DominikSobania.html FranzRothlauf.html
  34. 1 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
  35. 8 Guadalupe-Hernandez:2024:GPTP Lexicase Selection Parameter Analysis: Varying Population Size and Test Case Redundancy with Diagnostic Metrics JoseGuadalupeHernandez.html AnilKumarSaini.html JasonHMoore.html
  36. 1 HADI:2018:JH Monthly streamflow forecasting using continuous wavelet and multi-gene genetic programming combination SinanJasimHadi.html MustafaTombul.html
  37. 8 Hemberg:2024:GPTP Survey of Genetic Programming and Large Language Models ErikHemberg.html StevenPJorgensen.html Una-MayO'Reilly.html
  38. 1 hurta:2025:EuroGP Multi-Objective Evolutionary Design of Explainable EEG Classifier MartinHurta.html AnnaOvesna.html VojtechMrazek.html LukasSekanina.html
  39. 2 EasyChair:7821 Benchmarking Individual Representation in Grammar-Guided Genetic Programming LeonIngelse.html GuilhermeJorgeNunesMonteiroEspada.html AlcidesFonseca.html
  40. 1 keijzer03 Improving Symbolic Regression with Interval Arithmetic and Linear Scaling MaartenKeijzer.html
  41. 8 Kelly:2024:GPTP Evolving Many-Model Agents with Vector and Matrix Operations in Tangled Program Graphs TanyaDjavaherpour.html AliNaqvi.html EddieZhuang.html StephenKelly.html
  42. 1 kocherovsky:2025:EuroGP On the Effectiveness of Crossover Operators in Cartesian Genetic Programming MarkKocherovsky.html KianinejadMarzieh.html IllyaBakurov.html WolfgangBanzhaf.html
  43. 10 Kotanchek:2024:GPTP Representation and Reachability: Assumption Impact in Data Modeling MarkKotanchek.html NathanielHaut.html KelvinKotanchek.html
  44. 2 Kronberger:2024:SymbolicRegression Symbolic Regression GabrielKronberger.html BogdanBurlacu.html MichaelKommenda.html StephanMWinkler.html MichaelAffenzeller.html
  45. 2 Langdon:2025:EuroGP Population Diversity, Information Theory and Genetic Improvement WilliamBLangdon.html DavidClark.html
  46. 1 langdon:2025:GI The gem5 C++ glibc Heap Fitness Landscape WilliamBLangdon.html BobbyRBruce.html
  47. 8 Lavinas:2024:GPTP Interpretable Genetic Programming Models for Real-World Biomedical Images YuriLavinas.html CamiloDeLaTorre.html KevinCortacero.html DennisGWilson.html SylvainCussat-Blanc.html
  48. 5 Levine:evowks03 Learning Action Strategies for Planning Domains using Genetic Programming JohnLevine.html DavidHumphreys.html
  49. 27 Lin:2023:ICDMW Enhancing Interpretability in AI-Generated Image Detection with Genetic Programming MingqianLin.html LinShang.html Xiaoying_Sharon_Gao.html
  50. 3 Jia-Hong_Liu:thesis Portfolio Investment Based on Neural Networks Jia-HongLiu.html
  51. 8 Lourenco:2024:GPTP Automatic Design of Autoencoders Using NeuroEvolution AlexydeAlmeida.html NunoLourenco.html PenousalMachado.html
  52. 1 Maliukov:2024:GECCOcomp Evolving Assembly Code in an Adversarial Environment IrinaMaliukov.html GeraWeiss.html OdedMargalit.html AchiyaElyasaf.html
  53. 1 MICHELL:2020:ASC Strongly-typed genetic programming and fuzzy inference system: An embedded approach to model and generate trading rules KevinMichell.html WernerKristjanpoller.html
  54. 1 Miranda:2019:gecco Classification of EEG Signals using Genetic Programming for Feature Construction IcaroMiranda.html ClausdeCastroAranha.html MarceloLadeira.html
  55. 3 Miyashita:2000:GECCO Job-Shop Scheduling with Genetic Programming KazuoMiyashita.html
  56. 1 Moraglio:2014:SMGP2 An Efficient Implementation of GSGP using Higher-Order Functions and Memoization AlbertoMoraglio.html
  57. 2 Muqeet:2024:SSBSE Approximating Stochastic Quantum Noise through Genetic Programming AsmarMuqeet.html ShaukatAli.html PaoloArcaini.html
  58. 28 MURARI:2023:oceaneng Static and dynamic instability of functionally graded graphene origami-enabled auxetic metamaterial beams with variable thickness in fluid BillMurari.html ShaoyuZhao.html Yihe_Henin_Zhang.html JieYang.html
  59. 1 nadizar:2025:EuroGP The Role of Stepping Stones in MAP-Elites: Insights from Search Trajectory Networks GiorgiaNadizar.html FrancescoRusin.html EricMedvet.html GabrielaOchoa.html
  60. 45 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
  61. 1 Nemeth:2024:ALife Phenotypic Species Definitions for Genetic Improvement of Source Code ZsoltNemeth.html PenelopeFaulknerRainford.html BarryPorter.html
  62. 8 Ofria:2024:GPTP Using Lineage Age to Augment Search Space Exploration in Lexicase Selection KarenSuzue.html CharlesOfria.html AlexanderLalejini.html
  63. 1 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
  64. 8 Pantridge:2024:GPTP Code Building Genetic Programming is Faster than PushGP EdwardRPantridge.html ThomasHelmuth.html
  65. 1 pietropolli:2025:EuroGP Introducing Crossover in SLIM-GSGP GloriaPietropolli.html DavideFarinati.html LucaManzoni.html MauroCastelli.html LeonardoVanneschi.html
  66. 7 Pontes:2024:GPTP Cell Regulation and the Early Evolution of Autonomous Control AnselmoCPontes.html NicholasLPanchy.html
  67. 4 oai:CiteSeerX.psu:10.1.1.412.6766 A Genetic Programming Approach for Detection of Diabetes MadhaviAjayPradhan.html GajendraRBamnote.html VinitRTribhuvan.html KiranJadhav.html VijayChabukswar.html VijayDhobale.html
  68. Rebolleda:2024:GPTP Engineering ecology, shaping the environment to shape microbial function MariaRebolleda-Gomez.html
  69. 1 rovito:2025:EuroGP Exploring the Integration of Cellular Structures in Genetic Programming-based Methods LuigiRovito.html LorenzoBonin.html DavideFarinati.html LeonardoVanneschi.html LucaManzoni.html AndreaDeLorenzo.html GloriaPietropolli.html
  70. 1 RUANOORDAS:2018:IPM Using evolutionary computation for discovering spam patterns from e-mail samples DavidRuano-Ordas.html FlorentinoFdez-Riverola.html JoseRMendez.html
  71. 1 SARANYA:2018:AEJ Model level code smell detection using EGAPSO based on similarity measures GSaranya.html HKhannaNehemiah.html AKannan.html VNithya.html
  72. 7 Sekanina:2024:GPTP Genetic Programming with Memory for Approximate Data Reconstruction LukasSekanina.html TadeasJuza.html
  73. 7 Sipper:2024:GPTP Deep Learning-Based Operators for Evolutionary Algorithms EliadShem-Tov.html MosheSipper.html AchiyaElyasa.html
  74. 2 spector:2005:GPEM Emergence of Collective Behavior in Evolving Populations of Flying Agents LeeSpector.html JonKlein.html ChristopherHPerry.html MarkFeinstein.html
  75. 7 Spector:2024:GPTP Ratcheted Random Search for Self-programming Boolean Networks LeeSpector.html
  76. 6 Standish04b Tierra's missing neutrality: case solved RussellKStandish.html
  77. 12 stilger:1996:GPdbqo Genetic Programming in Database Query Optimization MichaelStillger.html MyraSpiliopoulou.html
  78. 2 streeter:2001:gecco Automated Discovery of Numerical Approximation Formulae Via Genetic Programming MatthewJStreeter.html LeeABecker.html
  79. streeter:2001:tbsw Toward a Better Sine Wave MatthewJStreeter.html LeeABecker.html
  80. 1 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
  81. 22 Praca_dokt.M.Suchorzewski Ewolucyjna metoda syntezy skalowalnych i modularnych sieci obliczeniowych MarcinSuchorzewski.html
  82. 23 tang:2024:CEC Genetic Programming with Multi-Task Feature Selection for Alzheimer's Disease Diagnosis ShanshanTang.html QiChen.html BingXue.html MinHuang.html MengjieZhang.html
  83. 1 trautwein:2025:EuroGP Ant-based Metaheuristics Struggle to Solve the Cartesian Genetic Programming Learning Task JulianTrautwein.html MichaelHeider.html HenningCui.html JoergHaehner.html
  84. 5 Vanneschi:2011:bmcBDM A comparison of machine learning techniques for survival prediction in breast cancer LeonardoVanneschi.html AntonellaFarinaccio.html GiancarloMauri.html MauroAntoniotti.html PaoloProvero.html MarioGiacobini.html
  85. 8 Vanneschi:2024:GPTP Exploring Non-Bloating Geometric Semantic Genetic Programming LeonardoVanneschi.html DavideFarinati.html DiogoRasteiro.html LiahRosenfeld.html GloriaPietropolli.html SaraSilva.html
  86. Winkler:2010:geccocomp Classification of tumor marker values using heuristic data mining methods StephanMWinkler.html MichaelAffenzeller.html WitoldJacak.html HerbertStekel.html
  87. 8 Winkler:2024:GPTP How to Measure Explainability and Interpretability of Machine Learning Results ElisabethMayrhuber.html BogdanBurlacu.html StephanMWinkler.html
  88. 2 woodward:thesis Algorithm Induction, Modularity and Complexity JohnRWoodward.html
  89. 1 Xue:2025:GP EuroGP 2025: Proceedings of the 28th European Conference on Genetic Programming BingXue.html LucaManzoni.html IllyaBakurov.html
  90. 33 yang:2021:omega Accelerating the Selection of Covalent Organic Frameworks with Automated Machine Learning PeisongYang.html HuanZhang2.html XinLai.html KunfengWang.html QingyuanYang.html DuliYu.html
  91. 1 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
  92. 3 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
  93. 4 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
  94. 1 zhang:2025:EuroGP Micro-Step Time-Series Regression: Insights from System Identification Using Symbolic Regression HengzheZhang.html AlbertoTonda.html QiChen.html BingXue.html EvelyneLutton.html MengjieZhang.html
  95. 8 Zhang:2024:GPTP EvoFeat: Genetic Programming-Based Feature Engineering Approach to Tabular Data Classification HengzheZhang.html QiChen.html BingXue.html YanWang.html AiminZhou.html MengjieZhang.html
  96. 19 Zhong:ieeeTSMC Multifactorial Genetic Programming for Symbolic Regression Problems JinghuiZhong.html LiangFeng.html WentongCai.html Yew-SoonOng.html

New and modified entries