Changes to Genetic Programing Bibliography since 2026/09/13

New and modified entries

New

  1. DBLP:conf/ppsn/AlbertB26 GeneABAC: ABAC Policy Generation Optimized by Genetic Programming Ramona-GeorgianaAlbert.html MihaelaElenaBreaban.html
  2. DBLP:conf/ppsn/BunjerdtaweepornM26 Order-Aware GSGP in Active Factor Allocation KritpolBunjerdtaweeporn.html AlbertoMoraglio.html
  3. DBLP:conf/ppsn/ChenCO26 Building Fairness-Aware Ensembles with AutoFairGE ZhiangChen.html MarkConnor.html MichaelO'Neill.html
  4. Chen:2026:GPEM AutoFairGE: towards fairness-aware AutoML with grammatical evolution ZhiangChen.html MarkConnor.html SudarshanPant.html MichaelO'Neill.html
  5. 9bd218f788af4a5ca7da0d3e5c5a504d The evolution of team based coordination in strategic games AlanCunningham.html CiaraLavelle.html ColmO'Riordan.html
  6. DBLP:conf/ppsn/DangKO26 Runtime Analysis of Cartesian Genetic Programming in Evolving Boolean Functions Duc-CuongDang.html RomanTobiasKalkreuth.html AndreOpris.html
  7. degaris:1992:GPdgc Artificial Embryology: the Genetic Programming of an Artificial Embryo HugodeGaris.html
  8. DBLP:conf/ppsn/DozRBM26 Inferring Structural Causal Models from Data with Grammatical Evolution RominaDoz.html FrancescaRandone.html LucaBortolussi.html EricMedvet.html
  9. Edmonds:2008:AISB A Brief Survey of Some Results on Mechanisms and Emergent Outcomes BruceEdmonds.html
  10. Farinati:thesis Enhancing Geometric Semantic Genetic Programming: a Study on Dynamic Population and Deflate Geometric Mutation DavideFarinati.html
  11. DBLP:conf/ppsn/FarinatiBZSRGDGB26 Developing a Novel Comorbidities Index for Predicting 10-Year Mortality in Prostate Cancer Patients: A Computational Data-Driven Approach DavideFarinati.html FrancescoBarletta.html PaoloZaurito.html SimoneScuderi.html NicholasRaison.html AlejandroGranados.html ProkarDasgupta.html GiorgioGandaglia.html AlbertoBriganti.html
  12. DBLP:conf/ppsn/GallardoCCM26 Generation of Optimised Quantum Oracles Using Grammar-Based Genetic Programming JavierZayasGallardo.html FranciscoChicano.html CarlosCanal.html JuanManuelMurillo.html
  13. AGeyer-Schulz2026 xegaMigration. xega Island Models AndreasGeyer-Schulz.html SeyedmostafaZamanishandiz.html
  14. Gobet:2019:fpsyg How Artificial Intelligence Can Help Us Understand Human Creativity FernandGobet.html GiovanniSala.html
  15. Goodman:2026:alifenews 23rd Human-Competitive Results Awards (``Humies''), 2026 ErikGoodman.html
  16. Grilo:2001:AISB Paradigmatic Analysis using Genetic Programming CarlosGrilo.html PenousalMachado.html FAmilcarCardoso.html
  17. Helliwell:2021:AISB Darwinian Creativity as a Model for Computational Creativity AliceCHelliwell.html
  18. Hong:2026:GPEM A genetic programming approach to classification of normal and endometrial cancer MRI images JingdeHong.html ChunxiaChen.html YuhangXie.html ZengLin.html YongpingLin.html
  19. DBLP:conf/ppsn/HurtaDM26 Towards ML-Based Position-Aware Mutation Operator in Cartesian Genetic Programming MartinHurta.html MichaelaSikulova.html VojtechMrazek.html
  20. Iba:2026:book Large Language Models and Evolutionary Computation: Generative AI for Meta-heuristics HitoshiIba.html JoaoEBatista.html JinglueXu.html
  21. DBLP:conf/ppsn/JinTDB26 Efficient Imitation-Based Rule Learning for Online Yard Crane Scheduling via Order-Aware Geometric Semantic Genetic Programming ChenweiJin.html LeshanTan.html HuangyanDeng.html RuibinBai.html
  22. Jones:2019:aisy Onboard Evolution of Understandable Swarm Behaviors SimonJones.html AlanFWinfield.html SabineHauert.html MatthewStudley.html
  23. CKeber2002 Evolutionary Computation in Option Pricing: Determining Implied Volatilities Based on American Put Options ChristianKeber.html
  24. Koza:2003:AISBQ Genetic Programming Routine, human-competitive, high-return machine intelligence JohnKoza.html
  25. lanzi:2023:GECCO ChatGPT and Other Large Language Models as Evolutionary Engines for Online Interactive Collaborative Game Design PierLucaLanzi.html DanieleLoiacono.html
  26. DBLP:conf/ppsn/LegerMG26 Multi-modal Learning Meets Genetic Programming: Analyzing Alignment in Latent Space Optimization BenjaminLeger.html KazemMeidani.html ChristianGagne.html
  27. Leier:2006:AISB Evolving Genetic Regulatory Networks Performing as Stochastic Switches AndreLeier.html KevinBurrage.html
  28. DBLP:conf/ppsn/LiraMS26 Prior Coverage and Search Bias in Multiview Symbolic Regression HernanLira.html LuisMarti.html NayatSanchez-Pi.html
  29. Lorway:2019:AISB Autopia: An AI Collaborator for Gamified Live Coding Music Performances NorahLorway.html MatthewJarvis.html ArthurWilson.html EdwardPowley.html JohnSpeakman.html
  30. Machado:2002:AISBJ Learning to Colour Greyscale Images PenousalMachado.html AndreDias.html FAmilcarCardoso.html
  31. DBLP:conf/ppsn/MarquesCC26 E-UPA: Evolutionary Universal Patch Attack via Genetic Programming for Black-Box Scenarios AlexandraMarques.html LuanaSantos.html JoaoNunoGoncalvesCostaCavaleiroCorreia.html
  32. Mayrhuber:2026:ECXAI Evolving Explanations: Complexity-Adaptive Refinement of Faithful Explanations for Symbolic Regression ElisabethMayrhuber.html TingHu.html StephanMWinkler.html
  33. whatisai What is Artificial Intelligence JohnMcCarthy.html
  34. DBLP:conf/ppsn/MengC26 GPAS: Multi-objective Genetic Programming with AUC and Separability Measures for Multiclass Classification WenyangMeng.html YingChen.html
  35. Mirdarsoltany:2026:SR Strength performance of hexagonal, hollow, and perforated GFRP-Reinforced concrete units: experimental, numerical, and AI-based investigations MohammadaminMirdarsoltany.html NimaKhodadadi.html AntonioNanni.html
  36. Moraglio:2026:ECXAI From Explanation to Design: Principled Generators in Program Trace Optimization AlbertoMoraglio.html
  37. Moreno:2018:GECCO Learning an evolvable genotype-phenotype mapping MatthewAndresMoreno.html WolfgangBanzhaf.html CharlesOfria.html
  38. DBLP:conf/ppsn/NadizarLFCW26 Structure vs. Constants: A Study of Coefficients in Cartesian Genetic Programming GiorgiaNadizar.html YuriLavinas.html FabricioOlivettideFranca.html SylvainCussat-Blanc.html DennisGWilson.html
  39. Kaustuv_Nag:thesis Multiobjective evolutionary approaches to pattern classification and robust optimization KaustuvNag.html
  40. Nardone:2026:SSRN Compact and Interpretable Binary Classification with SLIM Geometric Semantic Genetic Programming EmanueleNardone.html AlessandraScottodiFreca.html ClaudioDeStefano.html FrancescoRFontanella.html LeonardoVanneschi.html
  41. Nardone:2026:BIOMAP Towards Interpretable Alzheimer's Disease Detection: Comparing Genetic Programming Paradigms on Handwriting Data EmanueleNardone.html LeonardoVanneschi.html FrancescoRFontanella.html TizianaD'Alessandro.html
  42. DBLP:conf/ppsn/NomuraHO26 On the Generalization Bounds of Symbolic Regression with Genetic Programming MasahiroNomura.html RyokiHamano.html IsaoOno.html
  43. Orlenko:2026:PSB A random-walk-based learning framework to uncover novel gene candidates for Alzheimer's disease therapy AlenaOrlenko.html BinglanLi.html NedaKhanjani.html MythreyeVenkatesan.html LiShen.html MarylynDRitchie.html ZhipingPaulWang.html TayoObafemi-Ajayi.html JasonHMoore.html
  44. Pacioni:2025:ICAART Genetic Programming in Federated Aggregation: A Comparison of FedGP with State of the Art Methods EliaPacioni.html CelienMuller.html FranciscoFernandezdeVega.html DavideCalvaresi.html
  45. Pacioni:2026:GPEM FedGP goes open source: reproducible evolutionary aggregation for federated learning with FASTER EliaPacioni.html ValerioCrocetti.html FranciscoFernandezdeVega.html DavideCalvaresi.html
  46. DBLP:conf/ppsn/PaliszekSaladygaMDG26 BNTGP: A Hyper-Heuristic Balancing Non-Dominated Tournament Genetic Programming for Multi-Objective Multi-Skill Resource-Constrained Project Scheduling Problem AdamPaliszek-Saladyga.html PawelBMyszkowski.html MarkoDurasevic.html KonradGmyrek.html
  47. Perelli:2026:DEBS SHIELD: Evolutionary Synthesis of Privacy-Preserving Pipelines for Live Stream Data Sharing SilviaPerelli.html EricMedvet.html VincenzoGulisano.html
  48. DBLP:conf/ppsn/PostKBAB26 GP-GOMEA with GPU-Based Fitness Evaluations: Design and Performance Analysis JasperPost.html JohannesKoch.html AntonBouter.html TanjaAlderliesten.html PeterANBosman.html
  49. Wulandari:thesis Symbolic Regression with Genetic Programming: Synthetic Data Generation and Model Selection for Interpolation and Extrapolation FitriaWulandariRamlan.html
  50. Reiter:2025:TDSC Automatically Mitigating Vulnerabilities in Binary Programs via Partially Recompilable Decompilation PemmaDReiter.html HuiJunTay.html WestleyWeimer.html AdamDoupe.html RuoyuWang.html StephanieForrest.html
  51. Renzullo:2025:ACMComputSurv Automated Program Repair: Emerging Trends Pose and Expose Problems for Benchmarks JosephRenzullo.html PemmaDReiter.html WestleyWeimer.html StephanieForrest.html
  52. Romano:2022:btab PMLB v1.0: an open-source dataset collection for benchmarking machine learning methods JosephDRomano.html TrangTLe.html WilliamLaCava.html JohnTGregg.html DanielJGoldberg.html PraneelChakraborty.html NatashaLRay.html DanielHimmelstein.html WeixuanFu.html JasonHMoore.html
  53. Rovito:2026:discoverAI Machine learning and symbolic regression for interpretable PM10 estimation in urban air quality monitoring LuigiRovito.html PaoloDiviacco.html RodrigoJoseCarbajales.html LorenzoGrio.html AlessandroBusato.html MihaiBurca.html AlbertoViola.html AndreaDeLorenzo.html LucaManzoni.html TommasoPadoan.html AlexRodriguez.html
  54. Santos:2026:GECCOcomp Visualizing the Semantic Space Exploration of Ensemble Methods FredericoJJBSantos.html JoseManuelMunozContreras.html BerfinSakallioglu.html DamarisHualinga.html AlbertoTonda.html LeonardoTrujillo.html
  55. DBLP:conf/ppsn/SantosCSTT26 SemanticViz: Analyzing Semantic Space Exploration of Ensemble Methods FredericoJJBSantos.html JoseManuelMunozContreras.html BerfinSakallioglu.html AlbertoTonda.html LeonardoTrujillo.html
  56. Satheesan:2026:WREC A Clustering-Informed AutoML Framework for Pitting Corrosion Damage Classification for Offshore Structures YadukrishnanSatheesan.html TilBaalisampang.html HamidAhmadi.html EhsanArzaghi.html VikramGaraniya.html RouzbehAbbassi.html
  57. DBLP:conf/ppsn/SchlenderBA26 Evolving Features vs Evolving Entire Trees with GP for Interpretable Survival Analysis ThaleaSchlender.html PeterANBosman.html TanjaAlderliesten.html
  58. DBLP:conf/ppsn/SergioCM26 Strongly-Typed Geometric Syntactic Genetic Programming MiguelSergio.html ErnestoCosta.html JoaoMacedo.html
  59. Smith:1998:IS A Framework for Evolutionary Computation in Agent-Based Systems RobertESmith.html NickTaylor.html
  60. SSmith1997 Evolutionary Algorithms in Target Acquisition and Sensor Fusion StevenPSmith.html BertrandDanielDunay.html
  61. Speakman:2019:AISB Evolving Source Code: Object Oriented Genetic Programming in .NET Core JohnSpeakman.html
  62. DBLP:conf/ppsn/TanJCQB26 Informative Decision Situation Selection for Phenotypic Characterization-Based Surrogate-Assisted Genetic Programming in Dynamic Container Terminal Truck Scheduling LeshanTan.html ChenweiJin.html XinanChen.html RongQu.html RuibinBai.html
  63. tonelli:2026:acags An interpretable machine learning approach for alkalinity reconstruction in the Mediterranean Sea TeresaTonelli.html GloriaPietropolli.html LuigiRovito.html LucaManzoni.html GianpieroCossarini.html
  64. Treillard:2026:GPEM A comparison of classifier robustness on the PCAM dataset StephaneTreillard.html CamiloDeLaTorre.html CamilleFranchet.html HerveLuga.html DennisGWilson.html SylvainCussat-Blanc.html
  65. Williams:2016:fpsyg Manufacturing Magic and Computational Creativity HowardWilliams.html PeterWMcOwan.html
  66. Zhan:2026:ECXAI Human-in-the-Loop Interpretable Reinforcement Learning via Evolutionary Decision Trees HaoJieZhan.html StefanoGenetti.html GiovanniIacca.html
  67. DBLP:conf/ppsn/ZhangCXYBZ26 Adaptive Protection for Evolutionary Feature Construction in Symbolic Regression with Application to Credit Classification HengzheZhang.html QiChen.html BingXue.html LeanYu.html WolfgangBanzhaf.html MengjieZhang.html
  68. DBLP:conf/ppsn/ZhangCXBZ26 Benchmarking Zero-Shot LLM-Generated Parent Selection in Genetic Programming for Symbolic Regression HengzheZhang.html QiChen.html BingXue.html WolfgangBanzhaf.html MengjieZhang.html

Modified

  1. 6 Agapitos:2014:CEC Ensemble Bayesian Model Averaging in Genetic Programming AlexandrosAgapitos.html MichaelO'Neill.html AnthonyBrabazon.html
  2. 3 ahluwalia:1999:AGPCS A Genetic Programming-based Classifier System ManuAhluwalia.html LarryBull.html
  3. 1 Altenberg:2014:GPEMb Evolvability and robustness in artificial evolving systems: three perturbations LeeAltenberg.html
  4. 3 angeline:1997:tcbbe Subtree Crossover: Building Block Engine or Macromutation? PeterJohnAngeline.html
  5. 1 DBLP:conf/IEEEpact/AnselKVRBOA14 OpenTuner: an extensible framework for program autotuning JasonAnsel.html ShoaibKamil.html KalyanVeeramachaneni.html JonathanRagan-Kelley.html JeffreyBosboom.html Una-MayO'Reilly.html SamanAmarasinghe.html
  6. 3 conf/setn/AntoniouGTVL10 A Gene Expression Programming Environment for Fatigue Modeling of Composite Materials MariaAAntoniou.html EfstratiosFGeorgopoulos.html KonstantinosATheofilatos.html AnastasiosPVassilopoulos.html SpiridonDLikothanassis.html
  7. 21 ASTERIS:2021:CBM Soft computing techniques for the prediction of concrete compressive strength using Non-Destructive tests PanagiotisGAsteris.html AthanasiaDSkentou.html AbidhanBardhan.html PijushSamui.html PauloBLourenco.html
  8. 2 BARDHAN:2021:EG Efficient computational techniques for predicting the California bearing ratio of soil in soaked conditions AbidhanBardhan.html CandanGokceoglu.html AvijitBurman.html PijushSamui.html PanagiotisGAsteris.html
  9. 1 Barone:2023:MLST A novel multi-layer modular approach for real-time fuzzy-identification of gravitational-wave signals FrancescoPioBarone.html DanieleDell'Aquila.html MarcoRusso.html
  10. 3 Bel-Moudden:2026:GPEM Embedding-guided selection for genetic programming using pretrained code representations OumaimaBelMoudden.html RymNesrineGuibadj.html DenisRobilliard.html CyrilFonlupt.html AbdeslamKadrani.html RachidBenmansour.html
  11. 2 Bensoussan:2025:OOPSLA2 AccelerQ: Accelerating Quantum Eigensolvers with Machine Learning on Quantum Simulators AvnerBensoussan.html ElenaChachkarova.html KarineEven-Mendoza.html SophieFortz.html ConnorLenihan.html
  12. 2 Benyahia:1998:SMC Decision Support for Vehicle Dispatching Using Genetic Programming IlhamBenyahia.html Jean-YvesPotvin.html
  13. 1 Beras:2025:Buildings Developing an Alternative Calculation Method for the Smart Readiness Indicator Based on Genetic Programming and Linear Regression MitjaBeras.html MiranBrezocnik.html UrosZuperl.html MihaKovacic.html
  14. 2 Bhardwaj:2023:asjc EEG based personality prediction using genetic programming HarshitBhardwaj.html PradeepTomar.html AditiSakalle.html ArpitBhardwaj.html RishiAsthana.html AnkitVidyarthi.html
  15. 2 bosamiya-thesis A Principled Approach Towards Unapologetic Security JayBosamiya.html
  16. 2 Brown:2017:GP_Diablo Tile Based Genetic Programming Generation for Diablo-like games JosephAlexanderBrown.html ValtchanValtchanov.html
  17. 3 Burke2013 Hyper-heuristics: a survey of the state of the art EdmundBurke.html MichelGendreau.html MatthewRHyde.html GrahamKendall.html GabrielaOchoa.html EnderOzcan.html RongQu.html
  18. 1 Burlacu:2026:RSTA Zobrist hash-based duplicate detection in symbolic regression BogdanBurlacu.html
  19. 1 Cavalcanti-Costa:thesis Hyper-Heuristics for Automatic Configuration of Local Search-based Heuristics for the Large-Scale Vehicle Routing Problem JoaoGuilhermeCavalcantiCosta.html
  20. 1 Chan-Ley:thesis Categorizacion robusta de imagenes de arte usando Brain Programming MarianaChan-Ley.html
  21. 1 Qi_Chen:book Evolving Insights: Genetic Programming for Symbolic Regression QiChen.html BingXue.html MengjieZhang.html
  22. 2 Xinan_Chen_University_of_Nottingham_PhD_Thesis Machine Learning and Metaheuristic Methods for Optimizing Dynamic Truck Dispatching in Container Ports XinanChen.html
  23. 1 Chennupati:2013:mendel An Empirical Analysis Through the Time Complexity of GE Problems GopinathChennupati.html ConorRyan.html RMuhammadAtifAzad.html
  24. 2 Chia:2020:SSCI Designing Card Game Strategies with Genetic Programming and Monte-Carlo Tree Search: A Case Study of Hearthstone Hao-ChengChia.html Tsung-SuYeh.html Tsung-CheChiang.html
  25. 32 Cho:2025:engappai Solving quay wall allocation problems based on deep reinforcement learning Young-inCho.html Seung-heonOh.html Jae-hoChoi.html JongHunWoo.html
  26. 1 Clemente:evoapps12 Object Recognition with an Optimized Ventral Stream Model Using Genetic Programming EddieHelbertClementeTorres.html GustavoOlague.html LeonDozal.html MartinMancilla.html
  27. 1 Cook:CS-2007-12 Genetically Programmed Response Surfaces for Efficient Design Space Exploration HenryMCook.html KevinSkadron.html
  28. 6 Craine:2026:UKCI Estimating the Number of Solutions in Program Space Using Random Sampling BenjaminJCraine.html BarryPorter.html
  29. 1 Crary:2024:GPTP It's Time to Revisit the Use of FPGAs for Genetic Programming ChristopherCCrary.html GregStitt.html BogdanBurlacu.html WolfgangBanzhaf.html
  30. 1 Cui_Diss Improving Genetic Operators of Cartesian Genetic Programming HenningCui.html
  31. 1 Cummins:2006:AICS An analysis of the Solution Space for Genetically Programmed Term-Weighting Schemes in Information Retrieval RonanCummins.html ColmO'Riordan.html
  32. 5 Dafflon:2020:HBM An automated machine learning approach to predict brain age from cortical anatomical measures JessicaDeFariaDafflon.html WalterHugoLopezPinaya.html FedericoTurkheimer.html JamesHCole.html RobertLeech.html MathewAHarris.html SimonRCox.html HeatherCWhalley.html AndrewMMcIntosh.html PeterJHellyer.html
  33. 1 Dana-Mazraeh:2026:GPEM GELS-SVR: a combination of grammatical evolution and least squares support vector regression for symbolic solution to Falkner-Skan equation HassanDanaMazraeh.html KouroshParand.html
  34. 2 Dassau:Mat:06 Modeling and temperature control of rapid thermal processing EyalDassau.html BenyaminGrosman.html DanielRLewin.html
  35. 1 De-Carlo:2023:EuroGP Interacting Robots in a Artificial Evolutionary Ecosystem MatteoDeCarlo.html EliseoFerrante.html JacinthaEllers.html GerbenMeynen.html GuszEiben.html
  36. 25 Deng:2024:PICEWM Machine learning-based prediction of scour depth around different-shaped bridge abutments YangyuDeng.html YakunLiu.html DiZhang.html ZeCao.html
  37. 8 Dick:2020:GECCO Feature Standardisation and Coefficient Optimisation for Effective Symbolic Regression GrantDick.html CaitlinAOwen.html PeterAlexanderWhigham.html
  38. 23 dick:2024:GECCOcomp Characterising the Double Descent of Symbolic Regression GrantDick.html CaitlinAOwen.html
  39. 2 journals/apin/DiosanA15 Multi-objective breast cancer classification by using multi-expression programming LauraDiosan.html AncaAndreica.html
  40. 1 Doerr:2019:GECCOb Evolving Boolean functions with conjunctions and disjunctions via genetic programming BenjaminDoerr.html AndreiLissovoi.html PietroSOliveto.html
  41. 2 Doherty2006 Evolving Agent--Based Team Tactics for Combative Computer Games DarrenDoherty.html ColmO'Riordan.html
  42. 2 1277347 A phenotypic analysis of GP-evolved team behaviours DarrenDoherty.html ColmO'Riordan.html
  43. 5 dracopoulos:1997:GAGPc Genetic Algorithms and Genetic Programming for Control DimitrisCDracopoulos.html
  44. 1 Esparcia-Alcazar:2017:evoApplications Evolving Rules for Action Selection in Automated Testing via Genetic Programming - A First Approach AnnaEsparcia-Alcazar.html FranciscoAlmenar.html UrkoRueda.html TanjaEJVos.html
  45. 1 Fabera:2012:mendel Grammatical Evolution and FSM Construction VitFabera.html JanZelenka.html MariaJanesova.html VlastimilJanes.html
  46. 1 Fagan:2012:mendel Fitness Reactive Mutation in Grammatical Evolution DavidFagan.html ErikHemberg.html MichaelO'Neill.html SeanMcGarraghy.html
  47. oai:CiteSeerX.psu:10.1.1.453.2194 An Embodied Evolutionary System to Control a Population of Mobile Robots using Genetic Programming AndersonLuizFernandesPerez.html GuilhermeBittencourt.html MauroRoisenberg.html
  48. 1 Fitzgerald:2013:mendel A Hybrid Approach to the Problem of Class Imbalance JeannieFitzgerald.html ConorRyan.html
  49. 33 Garrow:2026:UKCI Property-Based Fitness from Examples: Guiding GP with LLM-Discovered Invariants FraserGarrow.html MichaelALones.html RobertStewart.html
  50. gaudl:2018:platformersai A Genetic Programming Framework for 2D Platform AI SwenEGaudl.html
  51. 1 gerber:2024:ICAISC A Comparison of Genetic Programming and Grammatical Evolution for the Generation of Fuzzy ART Choice Functions MiaGerber.html NelishiaPillay.html
  52. 4 Gildfind:thesis Evolving Performance Control Systems for Digital Puppetry AndrewGildfind.html
  53. 21 Goncalves:2026:CEC Evolutionary Prompting: Automating Large Language Model Queries for Machine Learning Task Identification using Grammatical Evolution CarlosGoncalves.html PedroPereira.html PauloCortez.html
  54. 2 Goodman:2025:sigevolution 22nd Human-Competitive Results Awards (``Humies''), 2025 ErikGoodman.html
  55. 6 Goodman:2026:sigevolution 23rd Human-Competitive Results Awards (``Humies''), 2026 ErikGoodman.html
  56. Hernandez:2019:GECCOcomp Random subsampling improves performance in lexicase selection JoseGuadalupeHernandez.html AlexanderLalejini.html EmilyDolson.html CharlesOfria.html
  57. Dolson:2021:GPTP What Can Phylogenetic Metrics Tell us About Useful Diversity in Evolutionary Algorithms? JoseGuadalupeHernandez.html AlexanderLalejini.html EmilyDolson.html
  58. 1 Guadalupe-Hernandez:thesis Beyond benchmarks suites: engineering diagnostic tools to characterize selection schemes JoseGuadalupeHernandez.html
  59. hernandez:2024:GECCOcomp Lexidate: Model Evaluation and Selection with Lexicase JoseGuadalupeHernandez.html AnilKumarSaini.html JasonHMoore.html
  60. hernandez:2025:GECCOcomp2 Comparing PushGP and GPT-4o on Program Synthesis with only Input-Output Examples JoseGuadalupeHernandez.html AnilKumarSaini.html GabrielKetron.html JasonHMoore.html
  61. DBLP:journals/patterns/HernandezSGM25 The tree-based pipeline optimization tool: Tackling biomedical research problems with genetic programming and automated machine learning JoseGuadalupeHernandez.html AnilKumarSaini.html AttriGhosh.html JasonHMoore.html
  62. 1 Gypteau:2015:evoApplications Generating Directional Change Based Trading Strategies with Genetic Programming JeremieGypteau.html FernandoEstebanBarrilOtero.html MichaelKampouridis.html
  63. 1 Hassan:2025:evoapplications Designing Hardware-Friendly Hash Functions for Network Security Using Cartesian Genetic Programming MujtabaHassan.html JoVliegen.html StjepanPicek.html NeleMentens.html
  64. 3 Hayes:1995:ebspp Evolving Behavioral Strategies in Predators and Prey ThomasDHaynes.html SandipSen.html
  65. 6 Haynes:1996:EBS Evolving Behavioral Strategies in Predators and Prey ThomasDHaynes.html SandipSen.html
  66. 1 Jingsong_He:GPEM:pfpa Evolutionary design model of passive filter circuit for practical application JingsongHe.html JinYin.html
  67. 1 Hemberg:2009:Mendel An investigation into automatically defined function representations in Grammatical Evolution ErikHemberg.html MichaelO'Neill.html AnthonyBrabazon.html
  68. 2 Hershkovitz:thesis Harnessing Evolutionary Programming for Impedance Spectroscopy Analysis ShanyHershkovitz.html
  69. 12 Hornby:2001:ICRA Evolution of Generative Design Systems for Modular Physical Robots GregorySHornby.html HodLipson.html JordanBPollack.html
  70. 2 Hunt:2012:SEAL A Genetic Programming Approach to Hyper-Heuristic Feature Selection RachelHunt.html KouroshNeshatian.html MengjieZhang.html
  71. 15 Iovino:2021:ICRA Learning Behavior Trees with Genetic Programming in Unpredictable Environments MatteoIovino.html JonathanStyrud.html PietroFalco.html ChristianSmith.html
  72. 2 ga96aJaske One-step-ahead prediction of sunspots with genetic programming HarriJaske.html
  73. 1 Javed:2022:DMKD Simplification of genetic programs: a literature survey NomanJaved.html FernandGobet.html PeterCRLane.html
  74. 21 Jenkins:2025:compstruct Developing a continuum damage model for ceramic matrix composites using genetic programming based symbolic regression WilliamJenkins.html HunterGross.html KaitlinNDetwiler.html GregoryMorscher.html CraigPrzybyla.html JacobDeanHochhalter.html
  75. 2 DBLP:journals/taco/JiaGSM15 GPU Performance and Power Tuning Using Regression Trees WenhaoJia.html ElbaGarza.html KellyAShaw.html MargaretMartonosi.html
  76. 4 Juster2009 Allostatic load biomarkers of chronic stress and impact on health and cognition Robert-PaulJuster.html BruceSMcEwen.html SoniaJLupien.html
  77. 1 Kabliman:2026:RSTA Identification of empirical constitutive models for age-hardenable aluminium alloy and high-chromium martensitic steel using symbolic regression EvgeniyaKabliman.html GabrielKronberger.html
  78. 2 Kalayci-Sahinoglu27052024 Predicting advance rate and cutter life in TBM tunnelling using evolutionary algorithm UlkuKalayciSahinoglu.html MuratKarakus.html
  79. 2 kamalov:tel-04042245 Scalable algorithms for graph-based semi-supervised learning with embedding MikhailKamalov.html
  80. 9 Keller:2008:WCCI Self-Adaptive Hyperheuristic and Greedy Search RobertEKeller.html RiccardoPoli.html
  81. 1 Kelly:2017:EuroGP Emergent Tangled Graph Representations for Atari Game Playing Agents StephenKelly.html MalcolmHeywood.html
  82. 1 Thesis_KIALA Remote sensing of invasive plant species: Optimization of Sentinel-2 and Landsat 8 imagery for enhanced mapping of the invasive Parthenium hysterophorus in South Africa ZoloZimeZinuSergeKiala.html
  83. 1 Kim:2022:GRURint Clarifying Assumptions About Artificial Intelligence Before Revolutionising Patent Law DariaKim.html MaximilianAlber.html ManWaiKwok.html JelenaMitrovic.html CristianRamirezAtencia.html JesusAlbertoRodriguezPerez.html HeinerZille.html
  84. 21 Kim:2025:cie A genetic programming based reinforcement learning algorithm for dynamic hybrid flow shop scheduling with reworks under general queue time limits Hyeon-IlKim.html Yeo-ReumKim.html Dong-HoLee.html
  85. 1 Koutnik:2009:MENDEL Structure Aware Two Point Crossover for Grammatical Evolution JanKoutnik.html JiriKubalik.html
  86. 4 Koza:1992:GPdgc The genetic programming paradigm: Genetically breeding populations of computer programs to solve problems JohnKoza.html
  87. 1 Kumar:2026:ICML Evolving Interpretable Constitutions for Multi-Agent Coordination UjwalKumar.html AliceSaito.html HershrajNiranjani.html RayanYessou.html TanPhanXuan.html
  88. 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
  89. 1 Lalejini:2023:GPTP Phylogeny-Informed Fitness Estimation for Test-Based Parent Selection AlexanderLalejini.html MatthewAndresMoreno.html JoseGuadalupeHernandez.html EmilyDolson.html
  90. 2 langdon:2009:TAICPART Multi Objective Mutation Testing with Genetic Programming WilliamBLangdon.html MarkHarman.html YueJia.html
  91. 1 Langdon:2012:mendel Genetic Improvement of Programs WilliamBLangdon.html
  92. 1 DBLP:conf/sigsoft/GouesFW10 The case for software evolution ClaireLeGoues.html StephanieForrest.html WestleyWeimer.html
  93. 2 Li:2025:cor A novel hyper-heuristic based on surrogate genetic programming for the three-dimensional spatial resource-constrained project scheduling problem under uncertain environments LuboLi.html JingwenZhang.html HaohuaZhang.html RoelLeus.html
  94. 30 Li:2025:rcim Multi-agent deep reinforcement learning for dynamic reconfigurable shop scheduling considering batch processing and worker cooperation YuxinLi.html XinyuLi.html LiangGao.html ZhibingLu.html
  95. 16 Liang:2026:CEC Genetic Programming with Diversity Enhancement Strategy for Feature Learning in Classification JingLiang.html ZhengLi.html PengWang2.html XiangyangRen.html YingBi.html CaitongYue.html
  96. 1 Lira:2026:GECCO Prior-Informed Symbolic Regression for Multiview Scientific Discovery HernanLira.html LuisMarti.html NayatSanchez-Pi.html
  97. 1 thesis_liuli Learning Discriminative Feature Representations for Visual Categorization LiLiu.html
  98. 2 Loginov:GPEM Stock selection heuristics for performing frequent intraday trading with genetic programming AlexanderLoginov.html MalcolmHeywood.html GarnettCarlWilson.html
  99. 6 Luke:2006:EC A Comparison of Bloat Control Methods for Genetic Programming SeanLuke.html LiviuPanait.html
  100. 2 oai:CiteSeerPSU:508435 Giving Colour to Images PenousalMachado.html AndreDias.html NunoDuarte.html FAmilcarCardoso.html
  101. 1 MacLachlan:2022:CEC Genetic Programming for Vehicle Subset Selection in Ambulance Dispatching JordanMacLachlan.html YiMei.html FangfangZhang.html MengjieZhang.html
  102. 1 Martinez-Arellano:2013:mendel Short-term wind power forecasting with WRF-ARW model and genetic programming GiovannaMartinez-Arellano.html LarsNolle.html
  103. 1 Matousek:2009:MENDEL Grammatical Evolution: Epsilon Tube in Symbolic Regression Rask RadomilMatousek.html JozefBednar.html
  104. 1 DBLP:conf/aaai/MaudetD25 Search Strategy Generation for Branch and Bound Using Genetic Programming GwenMaudet.html GregoireDanoy.html
  105. 17 McConaghy_2005_iscas_2 Analysis of Simulation-Driven Numerical Performance Modeling Techniques for Application to Analog Circuit Optimization TrentMcConaghy.html GeorgesGEGielen.html
  106. 1 McConaghy:2009:ieeeTCAD Variation-Aware Structural Synthesis of Analog Circuits via Hierarchical Building Blocks and Structural Homotopy TrentMcConaghy.html PieterPalmers.html MichielSteyaert.html GeorgesGEGielen.html
  107. 3 McKay:2001:AJIIPS_1 An Investigation of Fitness Sharing in Genetic Programming RI_Bob_McKay.html
  108. 2 mei:2021:ADMLSA Knowledge Transfer in Genetic Programming Hyper-heuristics YiMei.html MazharAnsariArdeh.html MengjieZhang.html
  109. 1 Mohammed:2024:JMCEE Investigation of Hybrid Intelligence Models to Optimize Cement Kiln Content Based on the Failure Stress, Chemical Composition, and Loss on Ignition of Mortar AhmedSalihMohammed.html AsoAAbdalla.html RawazKurda.html WarzerSarwarQadir.html WaelMahmood.html KawanGhafor.html
  110. 3 Moraglio:2014:SMGP2 An Efficient Implementation of GSGP using Higher-Order Functions and Memoization AlbertoMoraglio.html
  111. 1 Moraglio:2025:GPEM Editorial introduction to the special issue for the tenth anniversary of geometric semantic genetic programming AlbertoMoraglio.html KrzysztofKrawiec.html ColinGJohnson.html
  112. 21 Moreno:2026:GPTP Trust, but Verify: Rigorously Profiling Best-Effort High-Performance Computing for Digital Evolution MatthewAndresMoreno.html SantiagoRodriguezPapa.html CharlesOfria.html LuisZaman.html EmilyDolson.html
  113. 2 Motwani:2022:TSE Quality of Automated Program Repair on Real-World Defects ManishMotwani.html MauricioSoto.html YuriyBrun.html ReneJust.html ClaireLeGoues.html
  114. 1 Munteanu:thesis Investigation concerning temperature field propagation along reduced scale modelled metal structures Ildiko-RenataMunteanu.html
  115. 1 Murphy:2009:MENDEL Gait Optimisation for Distinct Horse Models using Grammatical Evolution JamesMurphy.html MichaelO'Neill.html HamishCarr.html
  116. 1 Nadizar:2022:EuroGP On the Schedule for Morphological Development of Evolved Modular Soft Robots GiorgiaNadizar.html EricMedvet.html KarinedaSilvaMirasdeAraujo.html
  117. 2 Nadizar:thesis Towards Bio-Inspired Interpretable Embodied Artificial Intelligence: Merging Bio-Mimicry with Transparency in Robot Controllers GiorgiaNadizar.html
  118. 2 nag:2019:ESIA Genetic Programming for Classification and Feature Selection KaustuvNag.html NikhilRanjanPal.html
  119. 1 Nemeth:2026:UKCI PCA Landscape Projections for Meta-Analysis of Genetic Improvement for Source Code ZsoltNemeth.html PenelopeFaulknerRainford.html BarryPorter.html
  120. 1 Nguyen:2009:MENDEL Semantics based Mutation in Genetic Programming: The case for Real-valued Symbolic Regression QuangUyNguyen.html NguyenXuanHoai.html MichaelO'Neill.html
  121. 4 kinnear:nordin A Compiling Genetic Programming System that Directly Manipulates the Machine Code PeterNordin.html
  122. 1 olson:2013:RSIF Predator confusion is sufficient to evolve swarming behaviour RandalSOlson.html ArendHintze.html FredCDyer.html DavidBKnoester.html ChristophAdami.html
  123. 1 Pacioni:2026:evoapplications FedGP Resilience: A Comparative Study with Standard Federated Aggregation Methods under Adversarial Scenarios EliaPacioni.html CelienMuller.html FranciscoFernandezdeVega.html DavideCalvaresi.html
  124. 1 Palmers:2009:DATE Massively multi-topology sizing of analog integrated circuits PieterPalmers.html TrentMcConaghy.html MichielSteyaert.html GeorgesGEGielen.html
  125. 2 Parque:2018:GECCOcomp2 On Vehicle Surrogate Learning with Genetic Programming Ensembles VictorParque.html TomoyukiMiyashita.html
  126. 1 PARZIALE:2021:AIM Cartesian genetic programming for diagnosis of Parkinson disease through handwriting analysis: Performance vs. interpretability issues AntonioParziale.html RosaSenatore.html AntonioDellaCioppa.html AngeloMarcelli.html
  127. 7 Perez:2008:ICAS Embodied Evolution with a New Genetic Programming Variation Algorithm AndersonLuizFernandesPerez.html GuilhermeBittencourt.html MauroRoisenberg.html
  128. 23 Picek:2016:EC Evolutionary Algorithms for Boolean Functions in Diverse Domains of Cryptography StjepanPicek.html ClaudeCarlet.html SylvainGuilley.html JulianFMiller.html DomagojJakobovic.html
  129. 27 1144165 A Survey of Mutation Techniques in Genetic Programming AlanPiszcz.html TerenceSoule.html
  130. 1 Poli:2013:mendel Coarse graining the Dynamics of Evolutionary Algorithms RiccardoPoli.html
  131. 3 Potvin:2004:COR Generating trading rules on the stock markets with genetic programming Jean-YvesPotvin.html PatrickSoriano.html MaximeVallee.html
  132. 2 ramlan:2026:EuroGP Extending Model Selection Criteria with Extrapolation and Sensitivity Penalties for Symbolic Regression FitriaWulandariRamlan.html ColmO'Riordan.html JamesMcDermott.html
  133. 1 pmlr-v119-real20a AutoML-Zero: Evolving Machine Learning Algorithms From Scratch EstebanReal.html ChenLiang.html DavidSo.html QuocVLe.html
  134. 1 Renzullo:TELO Evolving Software: Combining Online Learning with Mutation-Based Stochastic Search JosephRenzullo.html WestleyWeimer.html StephanieForrest.html
  135. 2 Ritter:thesis Inferring and Analyzing Microarchitectural Performance Models FabianRitter.html
  136. 3 Rosenfeld:2026:GECCO From Six to Two: SLIM-DUO, a Simplified Extension of SLIM-GSGP LiahRosenfeld.html LeonardoVanneschi.html
  137. 1 Roushangar:2014:JH Modeling energy dissipation over stepped spillways using machine learning approaches KiyoumarsRoushangar.html SamiraAkhgar.html FarzinSalmasi.html JalalShiri.html
  138. 14 russell:2023:GECCOcomp A Selection Hyper-Heuristic for Transfer Learning in Genetic Programming JeffreyRussell.html NelishiaPillay.html
  139. 3 Sabeti2009263 Entropy and complexity measures for EEG signal classification of schizophrenic and control participants MaliheSabeti.html SerajeddinKatebi.html RezaBoostani.html
  140. 2 Sadeghi:2020:RE Thermal characteristics of evacuated tube solar collectors with coil inside: An experimental study and evolutionary algorithms GholamabbasSadeghi.html MohammadNajafzadeh.html MehranAmeri.html
  141. 1 sahare:2022:IGC Application of Genetic Programming in the Field of Geotechnical Engineering: A Review NirajJSahare.html MRaheena.html
  142. 1 DBLP:journals/ijpr/SalamaKFK22 A novel feature selection for evolving compact dispatching rules using genetic programming for dynamic job shop scheduling ShadySalama.html ToshiyaKaihara.html NobutadaFujii.html DaisukeKokuryo.html
  143. 1 Samore:2018:rhlAI Artificial Intelligence and the Patent System: Can a New Tool Render a Once Patentable Idea Obvious? WilliamJSamore.html
  144. 1 Sattar:thesis Lung Cancer Classification with Discriminant Features of Mutated Genes using Machine Learning MohsinSattar.html
  145. 2 Scheepers:2026:GPEM A structure-based genetic programming generation constructive hyper-heuristic with transfer learning for combinatorial optimisation DariusScheepers.html NelishiaPillay.html
  146. 1 DBLP:phd/dnb/Schweim21 On Sampling Error and Bias in Evolutionary Algorithms DirkSchweim.html
  147. 1 Sekaj:2012:mendel Cartesian Genetic Programming Based Controller Design IvanSekaj.html BranislavKadlic.html TomasGasparik.html
  148. 1 Senkerik:2012:mendel Evolutionary Synthesis of Rules for Stabilization of Evolutionary Selected Discrete Chaotic Systems RomanSenkerik.html ZuzanaOplatkova.html IvanZelinka.html
  149. 3 shan:2002:AJJW AntTAG: a Further Study YinShan.html HusseinAAbbass.html RI_Bob_McKay.html DarylEssam.html
  150. 5 Shirakawa:thesis A Study on Evolutionary Automatic Generation of Programs Using Graph Structured Representation ShinichiShirakawa.html
  151. 6 Sims:1994:evc Evolving Virtual Creatures KarlSims.html
  152. 1 Sipper:2021:SciRep Conservation machine learning: a case study of random forests MosheSipper.html JasonHMoore.html
  153. 1 Sivapragasam:2023:WPT Apparent temperature as a modelling substitute for evapotranspiration: Ramanathapuram, Tamil Nadu, India CSivapragasam.html NarayananNatarajan.html IrulrajPrabavathy.html DommatiRagasudha.html
  154. 4 Smith:2015:FSE Is the Cure Worse Than the Disease? Overfitting in Automated Program Repair EdwardKSmith.html EarlBarr.html ClaireLeGoues.html YuriyBrun.html
  155. 2 Stadelhofer:2005:PhysRevA Quantum and classical parallelism in parity algorithms for ensemble quantum computers RalfStadelhofer.html DieterSuter.html WolfgangBanzhaf.html
  156. 6 tang:2024:CEC Genetic Programming with Multi-Task Feature Selection for Alzheimer's Disease Diagnosis ShanshanTang.html QiChen.html BingXue.html MinHuang2.html MengjieZhang.html
  157. 6 teller:1995:PADO PADO: A New Learning Architecture for Object Recognition AstroTeller.html ManuelaVeloso.html
  158. 7 Tenachi:thesis Symbolic Machine Learning for Physics \& Astrophysics WassimTenachi.html
  159. 3 Tian:2026:CEC Surrogate-Assisted Genetic Programming with Rank-Based Phenotypic Characterisation for Dynamic Multi-Mode Project Scheduling YuanTian.html YiMei.html MengjieZhang.html
  160. 2 Togelius:2011:TCIAIG Search-based Procedural Content Generation: A Taxonomy and Survey JulianTogelius.html GeorgiosNYannakakis.html KennethOStanley.html CameronBrowne.html
  161. 1 trautwein:2025:EuroGP Ant-based Metaheuristics Struggle to Solve the Cartesian Genetic Programming Learning Task JulianTrautwein.html MichaelHeider.html HenningCui.html JoergHaehner.html
  162. 1 Trujillo:2022:SoftwareX GSGP-CUDA - A CUDA framework for Geometric Semantic Genetic Programming LeonardoTrujillo.html JoseManuelMunozContreras.html DanielEduardoHernandezMorales.html MauroCastelli.html JuanJoseTapiaArmenta.html
  163. 1 tuite:mendel:2014 The Relationship between Semantic Distance and Performance in Dynamic Symbolic Regression Problems CliodhnaTuite.html MichaelO'Neill.html AnthonyBrabazon.html
  164. 3 Vanneschi:2026:GPEM SLIM: the non-bloating genetic programming with geometric semantic mutations and meaningful semantic crossover LeonardoVanneschi.html SofiaCarreiradaConceicaoAlvesPereira.html DavideFarinati.html
  165. wagner:2001:gpepcftsp Genetic Programming with Efficient Population Control for Financial Time Series Prediction NealWagner.html ZbigniewMichalewicz.html
  166. 4 Wang:2020:Biophotonics Rapid identification of human ovarian cancer in second harmonic generation images using radiomics feature analyses and tree-based pipeline optimization tool GuangxingWang.html YangSun.html YoutingChen.html QiqiGao.html DongqingPeng.html HongxinLin.html ZhenlinZhan.html ZhiyiLiu.html ShuangmuZhuo.html
  167. 1 wen:2021:SichuanUniversity Application of Automated Machine Learning Based on Radiomics Features of T2WI and RS-EPI DWI to Predict Preoperative T Staging of Rectal Cancer Da-GuangWen.html Si-XianHu.html Zhen-LinLi.html Xiang-BingDeng.html ChuanTian.html XinLi2.html Xin-RongWang.html QiLeng.html Chun-ChaoXia.html
  168. 3 conf/tpnc/WongWL16 Learning Grammar Rules in Probabilistic Grammar-Based Genetic Programming Pak-KanWong.html ManLeungWong.html Kwong-SakLeung.html
  169. 1 wood:2007:PRSB Evolving the selfish herd: emergence of distinct aggregating strategies in an individual-based model AJamieWood.html GraemeJAckland.html
  170. 31 Xu:TEVC Pareto Set Learning through Genetic Programming for Multi-Objective Dynamic Scheduling MengXu.html YiMei.html FangfangZhang.html Yew-SoonOng.html MengjieZhang.html
  171. 3 Yang:2021:SSCI Deck Building in Collectible Card Games using Genetic Algorithms: A Case Study of Legends of Code and Magic Ya-JuYang.html Tsung-SuYeh.html Tsung-CheChiang.html
  172. 2 Zhang:2022:ieeeTEC An Evolutionary Forest for Regression HengzheZhang.html AiminZhou.html HuZhang.html
  173. 1 Zhao:2022:AM Genetic programming-assisted micromechanical models of graphene origami-enabled metal metamaterials ShaoyuZhao.html YingyanZhang.html Yihe_Henin_Zhang.html WeiZhang2.html JieYang.html SritawatKitipornchai.html
  174. 9 Zhao:2022:SSCI A Deep Reinforcement Learning Approach for Resource-Constrained Project Scheduling XiaohanZhao.html WenSong.html QiqiangLi.html HuadongShi.html ZhichaoKang.html ChunmeiZhang.html
  175. 1 Zhong:2015:ieeeTEC Self-Learning Gene Expression Programming JinghuiZhong.html Yew-SoonOng.html WentongCai.html
  176. 1 Zhou:2025:ieeeTEC Evolutionary Computation and Explainable AI: A Roadmap to Understandable Intelligent Systems RyanZhou.html JaumeBacardit.html AlexanderEIBrownlee.html StefanoCagnoni.html MartinFyvie.html GiovanniIacca.html JohnAWMcCall.html NikivanStein.html DavidJWalker.html TingHu.html

New and modified entries