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. Chen2005 Equilibrium Selection via Adaptation: Using Genetic Programming to Model Learning in a Coordination Game Shu-HengChen.html JohnDuffy.html ChiaHsuanYeh.html
  4. DBLP:conf/ppsn/ChenCO26 Building Fairness-Aware Ensembles with AutoFairGE ZhiangChen.html MarkConnor.html MichaelO'Neill.html
  5. Chen:2026:GPEM AutoFairGE: towards fairness-aware AutoML with grammatical evolution ZhiangChen.html MarkConnor.html SudarshanPant.html MichaelO'Neill.html
  6. 9bd218f788af4a5ca7da0d3e5c5a504d The evolution of team based coordination in strategic games AlanCunningham.html CiaraLavelle.html ColmO'Riordan.html
  7. DBLP:conf/ppsn/DangKO26 Runtime Analysis of Cartesian Genetic Programming in Evolving Boolean Functions Duc-CuongDang.html RomanTobiasKalkreuth.html AndreOpris.html
  8. Dang:2026:NeurIPS Runtime Analysis of Cartesian Genetic Programming on MAX: A Proven Exponential Speedup Duc-CuongDang.html RomanTobiasKalkreuth.html AndreOpris.html
  9. degaris:1992:GPdgc Artificial Embryology: the Genetic Programming of an Artificial Embryo HugodeGaris.html
  10. DBLP:conf/ppsn/DozRBM26 Inferring Structural Causal Models from Data with Grammatical Evolution RominaDoz.html FrancescaRandone.html LucaBortolussi.html EricMedvet.html
  11. Edmonds:2008:AISB A Brief Survey of Some Results on Mechanisms and Emergent Outcomes BruceEdmonds.html
  12. Farinati:thesis Enhancing Geometric Semantic Genetic Programming: a Study on Dynamic Population and Deflate Geometric Mutation DavideFarinati.html
  13. 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
  14. DBLP:conf/ppsn/GallardoCCM26 Generation of Optimised Quantum Oracles Using Grammar-Based Genetic Programming JavierZayasGallardo.html FranciscoChicano.html CarlosCanal.html JuanManuelMurillo.html
  15. VGaudet1996 Genetic Programming of Logic-Based Neural Networks VincentGaudet.html
  16. AGeyer-Schulz2026 xegaMigration. xega Island Models AndreasGeyer-Schulz.html SeyedmostafaZamanishandiz.html
  17. Gobet:2019:fpsyg How Artificial Intelligence Can Help Us Understand Human Creativity FernandGobet.html GiovanniSala.html
  18. Goodman:2026:alifenews 23rd Human-Competitive Results Awards (``Humies''), 2026 ErikGoodman.html
  19. Grilo:2001:AISB Paradigmatic Analysis using Genetic Programming CarlosGrilo.html PenousalMachado.html FAmilcarCardoso.html
  20. Helliwell:2021:AISB Darwinian Creativity as a Model for Computational Creativity AliceCHelliwell.html
  21. 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
  22. DBLP:conf/ppsn/HurtaDM26 Towards ML-Based Position-Aware Mutation Operator in Cartesian Genetic Programming MartinHurta.html MichaelaSikulova.html VojtechMrazek.html
  23. Iba:2026:book Large Language Models and Evolutionary Computation: Generative AI for Meta-heuristics HitoshiIba.html JoaoEBatista.html JinglueXu.html
  24. 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
  25. Jones:2019:aisy Onboard Evolution of Understandable Swarm Behaviors SimonJones.html AlanFWinfield.html SabineHauert.html MatthewStudley.html
  26. Kalkreuth:2026:COSEAL GPBench: Improving Benchmarking in Genetic Programming RomanTobiasKalkreuth.html MarieAnastacio.html AnjaJankovic.html JulianDierkes.html FabricioOlivettideFranca.html HolgerHHoos.html
  27. Kazadi:2000:GECCO Levels of Compartmentalization in Artificial Evolution SKazadi.html DLee.html RModi.html JSy.html WLue.html
  28. CKeber2002 Evolutionary Computation in Option Pricing: Determining Implied Volatilities Based on American Put Options ChristianKeber.html
  29. Koza:2003:AISBQ Genetic Programming Routine, human-competitive, high-return machine intelligence JohnKoza.html
  30. Kucharski:ieeeTEC OKAPI: Automated Deep Ensemble Design Through Genetic Programming DamianKucharski.html JakubNalepa.html ArkadiuszCzerwinski.html YalinZheng.html GregoryLip.html AgataMWijata.html
  31. lanzi:2023:GECCO ChatGPT and Other Large Language Models as Evolutionary Engines for Online Interactive Collaborative Game Design PierLucaLanzi.html DanieleLoiacono.html
  32. DBLP:conf/ppsn/LegerMG26 Multi-modal Learning Meets Genetic Programming: Analyzing Alignment in Latent Space Optimization BenjaminLeger.html KazemMeidani.html ChristianGagne.html
  33. Leier:2006:AISB Evolving Genetic Regulatory Networks Performing as Stochastic Switches AndreLeier.html KevinBurrage.html
  34. DBLP:conf/ppsn/LiraMS26 Prior Coverage and Search Bias in Multiview Symbolic Regression HernanLira.html LuisMarti.html NayatSanchez-Pi.html
  35. Lorway:2019:AISB Autopia: An AI Collaborator for Gamified Live Coding Music Performances NorahLorway.html MatthewJarvis.html ArthurWilson.html EdwardPowley.html JohnSpeakman.html
  36. Machado:2002:AISBJ Learning to Colour Greyscale Images PenousalMachado.html AndreDias.html FAmilcarCardoso.html
  37. DBLP:conf/ppsn/MarquesCC26 E-UPA: Evolutionary Universal Patch Attack via Genetic Programming for Black-Box Scenarios AlexandraMarques.html LuanaSantos.html JoaoNunoGoncalvesCostaCavaleiroCorreia.html
  38. Mayrhuber:2026:ECXAI Evolving Explanations: Complexity-Adaptive Refinement of Faithful Explanations for Symbolic Regression ElisabethMayrhuber.html TingHu.html StephanMWinkler.html
  39. whatisai What is Artificial Intelligence JohnMcCarthy.html
  40. DBLP:conf/ppsn/MengC26 GPAS: Multi-objective Genetic Programming with AUC and Separability Measures for Multiclass Classification WenyangMeng.html YingChen.html
  41. 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
  42. Moraglio:2026:ECXAI From Explanation to Design: Principled Generators in Program Trace Optimization AlbertoMoraglio.html
  43. Moreno:2018:GECCO Learning an evolvable genotype-phenotype mapping MatthewAndresMoreno.html WolfgangBanzhaf.html CharlesOfria.html
  44. 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
  45. Kaustuv_Nag:thesis Multiobjective evolutionary approaches to pattern classification and robust optimization KaustuvNag.html
  46. Nardone:2026:SSRN Compact and Interpretable Binary Classification with SLIM Geometric Semantic Genetic Programming EmanueleNardone.html AlessandraScottodiFreca.html ClaudioDeStefano.html FrancescoRFontanella.html LeonardoVanneschi.html
  47. 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
  48. DBLP:conf/ppsn/NomuraHO26 On the Generalization Bounds of Symbolic Regression with Genetic Programming MasahiroNomura.html RyokiHamano.html IsaoOno.html
  49. 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
  50. 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
  51. Pacioni:2026:GPEM FedGP goes open source: reproducible evolutionary aggregation for federated learning with FASTER EliaPacioni.html ValerioCrocetti.html FranciscoFernandezdeVega.html DavideCalvaresi.html
  52. 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
  53. Pant:2026:ICPCSN Automated Machine Learning with TPOT for Predictive Soil Fertility Modeling JanmejayPant.html HiteshKumarPant.html PriyanshiKotlia.html DevendraSingh.html PraveenKumarJoshi.html HimanshuPant.html
  54. Perelli:2026:DEBS SHIELD: Evolutionary Synthesis of Privacy-Preserving Pipelines for Live Stream Data Sharing SilviaPerelli.html EricMedvet.html VincenzoGulisano.html
  55. 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
  56. Wulandari:thesis Symbolic Regression with Genetic Programming: Synthetic Data Generation and Model Selection for Interpolation and Extrapolation FitriaWulandariRamlan.html
  57. 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
  58. Renzullo:2025:ACMComputSurv Automated Program Repair: Emerging Trends Pose and Expose Problems for Benchmarks JosephRenzullo.html PemmaDReiter.html WestleyWeimer.html StephanieForrest.html
  59. 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
  60. 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
  61. Santos:2026:GECCOcomp Visualizing the Semantic Space Exploration of Ensemble Methods FredericoJJBSantos.html JoseManuelMunozContreras.html BerfinSakallioglu.html DamarisHualinga.html AlbertoTonda.html LeonardoTrujillo.html
  62. DBLP:conf/ppsn/SantosCSTT26 SemanticViz: Analyzing Semantic Space Exploration of Ensemble Methods FredericoJJBSantos.html JoseManuelMunozContreras.html BerfinSakallioglu.html AlbertoTonda.html LeonardoTrujillo.html
  63. 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
  64. DBLP:conf/ppsn/SchlenderBA26 Evolving Features vs Evolving Entire Trees with GP for Interpretable Survival Analysis ThaleaSchlender.html PeterANBosman.html TanjaAlderliesten.html
  65. DBLP:conf/ppsn/SergioCM26 Strongly-Typed Geometric Syntactic Genetic Programming MiguelSergio.html ErnestoCosta.html JoaoMacedo.html
  66. Shannon:thesis An algebra for theoretical genetics ClaudeShannon.html
  67. CShannon1993 An Algebra for Theoretical Genetics Ph.D. Dissertation, Massachusetts Institute of Technology, 1940. ClaudeShannon.html
  68. Smith:1998:IS A Framework for Evolutionary Computation in Agent-Based Systems RobertESmith.html NickTaylor.html
  69. SSmith1997 Evolutionary Algorithms in Target Acquisition and Sensor Fusion StevenPSmith.html BertrandDanielDunay.html
  70. Speakman:2019:AISB Evolving Source Code: Object Oriented Genetic Programming in .NET Core JohnSpeakman.html
  71. 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
  72. 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
  73. 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
  74. Williams:2016:fpsyg Manufacturing Magic and Computational Creativity HowardWilliams.html PeterWMcOwan.html
  75. Zhan:2026:ECXAI Human-in-the-Loop Interpretable Reinforcement Learning via Evolutionary Decision Trees HaoJieZhan.html StefanoGenetti.html GiovanniIacca.html
  76. 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
  77. 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. 1 bader-el-den07:_gener_sat_local_searc_heuris Generating SAT Local-Search Heuristics using a GP Hyper-Heuristic Framework MohamedBahyBader-El-Den.html RiccardoPoli.html
  9. 2 Banzhaf:2026:book Advances in Linear Genetic Programming WolfgangBanzhaf.html TingHu.html
  10. 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
  11. 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
  12. 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
  13. 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
  14. 2 Benyahia:1998:SMC Decision Support for Vehicle Dispatching Using Genetic Programming IlhamBenyahia.html Jean-YvesPotvin.html
  15. 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
  16. 2 Bhardwaj:2023:asjc EEG based personality prediction using genetic programming HarshitBhardwaj.html PradeepTomar.html AditiSakalle.html ArpitBhardwaj.html RishiAsthana.html AnkitVidyarthi.html
  17. 3 blot:2026:GI 15th International Workshop on Genetic Improvement @ICSE 2026 AymericBlot.html OliverKrauss.html
  18. 2 bosamiya-thesis A Principled Approach Towards Unapologetic Security JayBosamiya.html
  19. 2 Brown:2017:GP_Diablo Tile Based Genetic Programming Generation for Diablo-like games JosephAlexanderBrown.html ValtchanValtchanov.html
  20. 13 Browne_2012_sigevolution Evolutionary Game Design: Automated Game Design Comes of Age CameronBrowne.html
  21. 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
  22. 14 Burke:2010:HBMH A Classification of Hyper-heuristics Approaches EdmundBurke.html MatthewRHyde.html GrahamKendall.html GabrielaOchoa.html EnderOzcan.html JohnRWoodward.html
  23. 1 Burlacu:2026:RSTA Zobrist hash-based duplicate detection in symbolic regression BogdanBurlacu.html
  24. 1 Cavalcanti-Costa:thesis Hyper-Heuristics for Automatic Configuration of Local Search-based Heuristics for the Large-Scale Vehicle Routing Problem JoaoGuilhermeCavalcantiCosta.html
  25. 23 CHAND:2019:SEC Evolving heuristics for the resource constrained project scheduling problem with dynamic resource disruptions ShelvinChand.html HemantKumarSingh.html TapabrataRay.html
  26. 1 Chan-Ley:thesis Categorizacion robusta de imagenes de arte usando Brain Programming MarianaChan-Ley.html
  27. 28 Chen:2025:knosys A new multi-tree Genetic Programming approach to feature construction in high-dimensional classification KeChen.html MingyangDao.html YingBi.html JingLiang.html ZhenlongWu.html PengWang2.html
  28. 1 Qi_Chen:book Evolving Insights: Genetic Programming for Symbolic Regression QiChen.html BingXue.html MengjieZhang.html
  29. 2 Chen:2002:EJEMED Equilibrium Selection via Adaptation: Using Genetic Programming to Model Learning in a Coordination Game Shu-HengChen.html JohnDuffy.html ChiaHsuanYeh.html
  30. 2 Xinan_Chen_University_of_Nottingham_PhD_Thesis Machine Learning and Metaheuristic Methods for Optimizing Dynamic Truck Dispatching in Container Ports XinanChen.html
  31. 1 Chennupati:2013:mendel An Empirical Analysis Through the Time Complexity of GE Problems GopinathChennupati.html ConorRyan.html RMuhammadAtifAzad.html
  32. 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
  33. 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
  34. 1 Clemente:evoapps12 Object Recognition with an Optimized Ventral Stream Model Using Genetic Programming EddieHelbertClementeTorres.html GustavoOlague.html LeonDozal.html MartinMancilla.html
  35. 1 Cook:CS-2007-12 Genetically Programmed Response Surfaces for Efficient Design Space Exploration HenryMCook.html KevinSkadron.html
  36. 6 Craine:2026:UKCI Estimating the Number of Solutions in Program Space Using Random Sampling BenjaminJCraine.html BarryPorter.html
  37. 1 Crary:2024:GPTP It's Time to Revisit the Use of FPGAs for Genetic Programming ChristopherCCrary.html GregStitt.html BogdanBurlacu.html WolfgangBanzhaf.html
  38. 1 Cui_Diss Improving Genetic Operators of Cartesian Genetic Programming HenningCui.html
  39. 1 Cummins:2006:AICS An analysis of the Solution Space for Genetically Programmed Term-Weighting Schemes in Information Retrieval RonanCummins.html ColmO'Riordan.html
  40. 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
  41. 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
  42. 2 Dassau:Mat:06 Modeling and temperature control of rapid thermal processing EyalDassau.html BenyaminGrosman.html DanielRLewin.html
  43. 1 De-Carlo:2023:EuroGP Interacting Robots in a Artificial Evolutionary Ecosystem MatteoDeCarlo.html EliseoFerrante.html JacinthaEllers.html GerbenMeynen.html GuszEiben.html
  44. 25 Deng:2024:PICEWM Machine learning-based prediction of scour depth around different-shaped bridge abutments YangyuDeng.html YakunLiu.html DiZhang.html ZeCao.html
  45. 8 Dick:2020:GECCO Feature Standardisation and Coefficient Optimisation for Effective Symbolic Regression GrantDick.html CaitlinAOwen.html PeterAlexanderWhigham.html
  46. 23 dick:2024:GECCOcomp Characterising the Double Descent of Symbolic Regression GrantDick.html CaitlinAOwen.html
  47. 2 journals/apin/DiosanA15 Multi-objective breast cancer classification by using multi-expression programming LauraDiosan.html AncaAndreica.html
  48. 1 Doerr:2019:GECCOb Evolving Boolean functions with conjunctions and disjunctions via genetic programming BenjaminDoerr.html AndreiLissovoi.html PietroSOliveto.html
  49. 2 Doherty2006 Evolving Agent--Based Team Tactics for Combative Computer Games DarrenDoherty.html ColmO'Riordan.html
  50. 2 1277347 A phenotypic analysis of GP-evolved team behaviours DarrenDoherty.html ColmO'Riordan.html
  51. 5 dracopoulos:1997:GAGPc Genetic Algorithms and Genetic Programming for Control DimitrisCDracopoulos.html
  52. 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
  53. 1 Fabera:2012:mendel Grammatical Evolution and FSM Construction VitFabera.html JanZelenka.html MariaJanesova.html VlastimilJanes.html
  54. 1 Fagan:2012:mendel Fitness Reactive Mutation in Grammatical Evolution DavidFagan.html ErikHemberg.html MichaelO'Neill.html SeanMcGarraghy.html
  55. 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
  56. 1 Fitzgerald:2013:mendel A Hybrid Approach to the Problem of Class Imbalance JeannieFitzgerald.html ConorRyan.html
  57. 3 fortin:2012:JMRL DEAP: Evolutionary Algorithms Made Easy Felix-AntoineFortin.html Francois-MichelDeRainville.html Marc-AndreGardner.html MarcParizeau.html ChristianGagne.html
  58. 33 Garrow:2026:UKCI Property-Based Fitness from Examples: Guiding GP with LLM-Discovered Invariants FraserGarrow.html MichaelALones.html RobertStewart.html
  59. gaudl:2018:platformersai A Genetic Programming Framework for 2D Platform AI SwenEGaudl.html
  60. 1 gerber:2024:ICAISC A Comparison of Genetic Programming and Grammatical Evolution for the Generation of Fuzzy ART Choice Functions MiaGerber.html NelishiaPillay.html
  61. 4 Gildfind:thesis Evolving Performance Control Systems for Digital Puppetry AndrewGildfind.html
  62. 1 Giustolisi:2009:JH Advances in data-driven analyses and modelling using EPR-MOGA OrazioGiustolisi.html DraganSavic.html
  63. 32 GOEBEL:2020:SPT Machine-based learning of predictive models in organic solvent nanofiltration: Pure and mixed solvent flux RebeccaGoebel.html MirkoSkiborowski.html
  64. 22 Goncalves:2026:CEC Evolutionary Prompting: Automating Large Language Model Queries for Machine Learning Task Identification using Grammatical Evolution CarlosGoncalves.html PedroPereira.html PauloCortez.html
  65. 2 Goodman:2025:sigevolution 22nd Human-Competitive Results Awards (``Humies''), 2025 ErikGoodman.html
  66. 8 Goodman:2026:sigevolution 23rd Human-Competitive Results Awards (``Humies''), 2026 ErikGoodman.html
  67. Hernandez:2019:GECCOcomp Random subsampling improves performance in lexicase selection JoseGuadalupeHernandez.html AlexanderLalejini.html EmilyDolson.html CharlesOfria.html
  68. Dolson:2021:GPTP What Can Phylogenetic Metrics Tell us About Useful Diversity in Evolutionary Algorithms? JoseGuadalupeHernandez.html AlexanderLalejini.html EmilyDolson.html
  69. 1 Guadalupe-Hernandez:thesis Beyond benchmarks suites: engineering diagnostic tools to characterize selection schemes JoseGuadalupeHernandez.html
  70. hernandez:2024:GECCOcomp Lexidate: Model Evaluation and Selection with Lexicase JoseGuadalupeHernandez.html AnilKumarSaini.html JasonHMoore.html
  71. hernandez:2025:GECCOcomp2 Comparing PushGP and GPT-4o on Program Synthesis with only Input-Output Examples JoseGuadalupeHernandez.html AnilKumarSaini.html GabrielKetron.html JasonHMoore.html
  72. 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
  73. 4 Gypteau:2015:evoApplications Generating Directional Change Based Trading Strategies with Genetic Programming JeremieGypteau.html FernandoEstebanBarrilOtero.html MichaelKampouridis.html
  74. 1 Hassan:2025:evoapplications Designing Hardware-Friendly Hash Functions for Network Security Using Cartesian Genetic Programming MujtabaHassan.html JoVliegen.html StjepanPicek.html NeleMentens.html
  75. 3 Hayes:1995:ebspp Evolving Behavioral Strategies in Predators and Prey ThomasDHaynes.html SandipSen.html
  76. 6 Haynes:1996:EBS Evolving Behavioral Strategies in Predators and Prey ThomasDHaynes.html SandipSen.html
  77. 1 Jingsong_He:GPEM:pfpa Evolutionary design model of passive filter circuit for practical application JingsongHe.html JinYin.html
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