Changes to Genetic Programing Bibliography since 2026/09/02

New and modified entries

New

  1. DBLP:conf/ppsn/AlbertB26 GeneABAC: ABAC Policy Generation Optimized by Genetic Programming Ramona-GeorgianaAlbert.html MihaelaElenaBreaban.html
  2. belmoudden:hal-05461814 A re-assessment of Code2Vec OumaimaBelMoudden.html RymNesrineGuibadj.html DenisRobilliard.html CyrilFonlupt.html AbdeslamKadrani.html RachidBenmansour.html
  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
  4. DBLP:conf/ppsn/BunjerdtaweepornM26 Order-Aware GSGP in Active Factor Allocation KritpolBunjerdtaweeporn.html AlbertoMoraglio.html
  5. DBLP:conf/ppsn/ChenCO26 Building Fairness-Aware Ensembles with AutoFairGE ZhiangChen.html MarkConnor.html MichaelO'Neill.html
  6. Benjamin_Cohen:thesis Benjamin_Cohen:thesis BenjaminGCohen.html
  7. 9bd218f788af4a5ca7da0d3e5c5a504d The evolution of team based coordination in strategic games AlanCunningham.html CiaraLavelle.html ColmO'Riordan.html
  8. DBLP:conf/ppsn/DangKO26 Runtime Analysis of Cartesian Genetic Programming in Evolving Boolean Functions 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. DBLP:conf/ppsn/GallardoCCM26 Generation of Optimised Quantum Oracles Using Grammar-Based Genetic Programming JavierZayasGallardo.html FranciscoChicano.html CarlosCanal.html JuanManuelMurillo.html
  12. AGeyer-Schulz2026 xegaMigration. xega Island Models AndreasGeyer-Schulz.html SeyedmostafaZamanishandiz.html
  13. Goodman:2026:alifenews 23rd Human-Competitive Results Awards (``Humies''), 2026 ErikGoodman.html
  14. Seulki_Han:thesis Physics-informed and Data-driven Modeling for Tool Condition Monitoring in Manufacturing SeulkiHan.html
  15. 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
  16. DBLP:conf/ppsn/HurtaDM26 Towards ML-Based Position-Aware Mutation Operator in Cartesian Genetic Programming MartinHurta.html MichaelaSikulova.html VojtechMrazek.html
  17. Iba:2026:book Large Language Models and Evolutionary Computation: Generative AI for Meta-heuristics HitoshiIba.html JoaoEBatista.html JinglueXu.html
  18. 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
  19. CKeber2002 Evolutionary Computation in Option Pricing: Determining Implied Volatilities Based on American Put Options ChristianKeber.html
  20. DBLP:conf/ppsn/LegerMG26 Multi-modal Learning Meets Genetic Programming: Analyzing Alignment in Latent Space Optimization BenjaminLeger.html KazemMeidani.html ChristianGagne.html
  21. DBLP:conf/ppsn/LiraMS26 Prior Coverage and Search Bias in Multiview Symbolic Regression HernanLira.html LuisMarti.html NayatSanchez-Pi.html
  22. DBLP:conf/ppsn/MarquesCC26 E-UPA: Evolutionary Universal Patch Attack via Genetic Programming for Black-Box Scenarios AlexandraMarques.html LuanaSantos.html JoaoNunoGoncalvesCostaCavaleiroCorreia.html
  23. Mayrhuber:2026:ECXAI Evolving Explanations: Complexity-Adaptive Refinement of Faithful Explanations for Symbolic Regression ElisabethMayrhuber.html TingHu.html StephanMWinkler.html
  24. DBLP:conf/ppsn/MengC26 GPAS: Multi-objective Genetic Programming with AUC and Separability Measures for Multiclass Classification WenyangMeng.html YingChen.html
  25. Moraglio:2026:ECXAI From Explanation to Design: Principled Generators in Program Trace Optimization AlbertoMoraglio.html
  26. Moreno:2018:GECCO Learning an evolvable genotype-phenotype mapping MatthewAndresMoreno.html WolfgangBanzhaf.html CharlesOfria.html
  27. 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
  28. Nardone:2026:SSRN Compact and Interpretable Binary Classification with SLIM Geometric Semantic Genetic Programming EmanueleNardone.html AlessandraScottodiFreca.html ClaudioDeStefano.html FrancescoRFontanella.html LeonardoVanneschi.html
  29. 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
  30. DBLP:conf/ppsn/NomuraHO26 On the Generalization Bounds of Symbolic Regression with Genetic Programming MasahiroNomura.html RyokiHamano.html IsaoOno.html
  31. 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
  32. 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
  33. 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
  34. 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
  35. Wulandari:thesis Symbolic Regression with Genetic Programming: Synthetic Data Generation and Model Selection for Interpolation and Extrapolation FitriaWulandariRamlan.html
  36. Renzullo:2025:ACMComputSurv Automated Program Repair: Emerging Trends Pose and Expose Problems for Benchmarks JosephRenzullo.html PemmaDReiter.html WestleyWeimer.html StephanieForrest.html
  37. 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
  38. 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
  39. DBLP:conf/ppsn/SantosCSTT26 SemanticViz: Analyzing Semantic Space Exploration of Ensemble Methods FredericoJJBSantos.html JoseManuelMunozContreras.html BerfinSakallioglu.html AlbertoTonda.html LeonardoTrujillo.html
  40. 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
  41. DBLP:conf/ppsn/SchlenderBA26 Evolving Features vs Evolving Entire Trees with GP for Interpretable Survival Analysis ThaleaSchlender.html PeterANBosman.html TanjaAlderliesten.html
  42. DBLP:conf/ppsn/SergioCM26 Strongly-Typed Geometric Syntactic Genetic Programming MiguelSergio.html ErnestoCosta.html JoaoMacedo.html
  43. 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
  44. 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
  45. Zhan:2026:ECXAI Human-in-the-Loop Interpretable Reinforcement Learning via Evolutionary Decision Trees HaoJieZhan.html StefanoGenetti.html GiovanniIacca.html
  46. 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
  47. 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. 3 angeline:1997:tcbbe Subtree Crossover: Building Block Engine or Macromutation? PeterJohnAngeline.html
  4. 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
  5. 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
  6. 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
  7. 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
  8. 1 Qi_Chen:book Evolving Insights: Genetic Programming for Symbolic Regression QiChen.html BingXue.html MengjieZhang.html
  9. 1 Chennupati:2013:mendel An Empirical Analysis Through the Time Complexity of GE Problems GopinathChennupati.html ConorRyan.html RMuhammadAtifAzad.html
  10. 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
  11. 17 Cohen:2024:jcp Physics-informed genetic programming for discovery of partial differential equations from scarce and noisy data BenjaminGCohen.html BurcuBeykal.html GeorgeMBollas.html
  12. 13 Craine:2026:UKCI Estimating the Number of Solutions in Program Space Using Random Sampling BenjaminJCraine.html BarryPorter.html
  13. 1 Cui_Diss Improving Genetic Operators of Cartesian Genetic Programming HenningCui.html
  14. 1 Cummins:2006:AICS An analysis of the Solution Space for Genetically Programmed Term-Weighting Schemes in Information Retrieval RonanCummins.html ColmO'Riordan.html
  15. 2 Dassau:Mat:06 Modeling and temperature control of rapid thermal processing EyalDassau.html BenyaminGrosman.html DanielRLewin.html
  16. 8 Dick:2020:GECCO Feature Standardisation and Coefficient Optimisation for Effective Symbolic Regression GrantDick.html CaitlinAOwen.html PeterAlexanderWhigham.html
  17. 2 Doherty2006 Evolving Agent--Based Team Tactics for Combative Computer Games DarrenDoherty.html ColmO'Riordan.html
  18. 2 1277347 A phenotypic analysis of GP-evolved team behaviours DarrenDoherty.html ColmO'Riordan.html
  19. 1 Fabera:2012:mendel Grammatical Evolution and FSM Construction VitFabera.html JanZelenka.html MariaJanesova.html VlastimilJanes.html
  20. 1 Fagan:2012:mendel Fitness Reactive Mutation in Grammatical Evolution DavidFagan.html ErikHemberg.html MichaelO'Neill.html SeanMcGarraghy.html
  21. 1 Fitzgerald:2013:mendel A Hybrid Approach to the Problem of Class Imbalance JeannieFitzgerald.html ConorRyan.html
  22. 24 Folino:2010:EuroGP Handling Different Categories of Concept Drifts in Data Streams using Distributed GP GianluigiFolino.html GiuseppePapuzzo.html
  23. 34 Garrow:2026:UKCI Property-Based Fitness from Examples: Guiding GP with LLM-Discovered Invariants FraserGarrow.html MichaelALones.html RobertStewart.html
  24. 5 Gilbert:2016:CEC Evolvable Warps for Data Normalization JeremyGilbert.html DanielAshlock.html
  25. 2 Goodman:2025:sigevolution 22nd Human-Competitive Results Awards (``Humies''), 2025 ErikGoodman.html
  26. 6 Goodman:2026:sigevolution 23rd Human-Competitive Results Awards (``Humies''), 2026 ErikGoodman.html
  27. Hernandez:2019:GECCOcomp Random subsampling improves performance in lexicase selection JoseGuadalupeHernandez.html AlexanderLalejini.html EmilyDolson.html CharlesOfria.html
  28. Dolson:2021:GPTP What Can Phylogenetic Metrics Tell us About Useful Diversity in Evolutionary Algorithms? JoseGuadalupeHernandez.html AlexanderLalejini.html EmilyDolson.html
  29. 1 Guadalupe-Hernandez:thesis Beyond benchmarks suites: engineering diagnostic tools to characterize selection schemes JoseGuadalupeHernandez.html
  30. hernandez:2024:GECCOcomp Lexidate: Model Evaluation and Selection with Lexicase JoseGuadalupeHernandez.html AnilKumarSaini.html JasonHMoore.html
  31. hernandez:2025:GECCOcomp2 Comparing PushGP and GPT-4o on Program Synthesis with only Input-Output Examples JoseGuadalupeHernandez.html AnilKumarSaini.html GabrielKetron.html JasonHMoore.html
  32. 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
  33. 1 Gypteau:2015:evoApplications Generating Directional Change Based Trading Strategies with Genetic Programming JeremieGypteau.html FernandoEstebanBarrilOtero.html MichaelKampouridis.html
  34. 25 HALE:2022:CCE Inference of faults through symbolic regression of system data WilliamTHale.html EfstathiaSafikou.html GeorgeMBollas.html
  35. 1 Han:2025:jmsy Physics-informed symbolic regression for tool wear and remaining useful life predictions in manufacturing SeulkiHan.html UtsavAwasthi.html GeorgeMBollas.html
  36. 1 Harman:2015:ICST Achievements, Open Problems and Challenges for Search Based Software Testing MarkHarman.html YueJia.html YuanyuanZhang.html
  37. 3 Hayes:1995:ebspp Evolving Behavioral Strategies in Predators and Prey ThomasDHaynes.html SandipSen.html
  38. 6 Haynes:1996:EBS Evolving Behavioral Strategies in Predators and Prey ThomasDHaynes.html SandipSen.html
  39. 1 Jingsong_He:GPEM:pfpa Evolutionary design model of passive filter circuit for practical application JingsongHe.html JinYin.html
  40. 1 Hemberg:2009:Mendel An investigation into automatically defined function representations in Grammatical Evolution ErikHemberg.html MichaelO'Neill.html AnthonyBrabazon.html
  41. 15 Iovino:2021:ICRA Learning Behavior Trees with Genetic Programming in Unpredictable Environments MatteoIovino.html JonathanStyrud.html PietroFalco.html ChristianSmith.html
  42. 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
  43. 2 DBLP:journals/taco/JiaGSM15 GPU Performance and Power Tuning Using Regression Trees WenhaoJia.html ElbaGarza.html KellyAShaw.html MargaretMartonosi.html
  44. 9 Keller:2008:WCCI Self-Adaptive Hyperheuristic and Greedy Search RobertEKeller.html RiccardoPoli.html
  45. 1 Kelly:2017:EuroGP Emergent Tangled Graph Representations for Atari Game Playing Agents StephenKelly.html MalcolmHeywood.html
  46. 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
  47. 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
  48. 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
  49. 1 Koutnik:2009:MENDEL Structure Aware Two Point Crossover for Grammatical Evolution JanKoutnik.html JiriKubalik.html
  50. 4 Koza:1992:GPdgc The genetic programming paradigm: Genetically breeding populations of computer programs to solve problems JohnKoza.html
  51. 12 Kumar:2026:CEC Breaking Free from Hand-Crafted Rewards: A Genetic Programming Framework for End-Goal-Driven Reinforcement Learning KamaleshKumar.html Jean-AlexisDelamer.html JamesAlexanderHughes.html
  52. 1 Lalejini:2023:GPTP Phylogeny-Informed Fitness Estimation for Test-Based Parent Selection AlexanderLalejini.html MatthewAndresMoreno.html JoseGuadalupeHernandez.html EmilyDolson.html
  53. 2 langdon:2009:TAICPART Multi Objective Mutation Testing with Genetic Programming WilliamBLangdon.html MarkHarman.html YueJia.html
  54. 1 Langdon:2012:mendel Genetic Improvement of Programs WilliamBLangdon.html
  55. 2 Langdon:2026:UKCI Parallel Program Analysis for Linear Genetic Programming WilliamBLangdon.html
  56. 1 DBLP:conf/sigsoft/GouesFW10 The case for software evolution ClaireLeGoues.html StephanieForrest.html WestleyWeimer.html
  57. 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
  58. 26 Li:2025:TSMC Real-Time Scheduling for Flexible Job Shop With AGVs Using Multiagent Reinforcement Learning and Efficient Action Decoding YuxinLi.html QingzhengWang.html XinyuLi.html LiangGao.html LingFu.html YanbinYu.html WeiZhou.html
  59. 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
  60. 2 Loginov:GPEM Stock selection heuristics for performing frequent intraday trading with genetic programming AlexanderLoginov.html MalcolmHeywood.html GarnettCarlWilson.html
  61. 2 Lopez:2017:EuroGP RANSAC-GP: Dealing with Outliers in Symbolic Regression with Genetic Programming UrielLopez.html LeonardoTrujillo.html YulianaMartinez.html PierrickLegrand.html EnriqueNaredo.html SaraSilva.html
  62. 1 MacLachlan:2022:CEC Genetic Programming for Vehicle Subset Selection in Ambulance Dispatching JordanMacLachlan.html YiMei.html FangfangZhang.html MengjieZhang.html
  63. 1 Martinez:2013:CEC Searching for Novel Regression Functions YulianaMartinez.html EnriqueNaredo.html LeonardoTrujillo.html EdgarGalvanLopez.html
  64. 1 Martinez-Arellano:2013:mendel Short-term wind power forecasting with WRF-ARW model and genetic programming GiovannaMartinez-Arellano.html LarsNolle.html
  65. 1 Matousek:2009:MENDEL Grammatical Evolution: Epsilon Tube in Symbolic Regression Rask RadomilMatousek.html JozefBednar.html
  66. 17 McConaghy_2005_iscas_2 Analysis of Simulation-Driven Numerical Performance Modeling Techniques for Application to Analog Circuit Optimization TrentMcConaghy.html GeorgesGEGielen.html
  67. 3 McKay:2001:AJIIPS_1 An Investigation of Fitness Sharing in Genetic Programming RI_Bob_McKay.html
  68. 2 mei:2021:ADMLSA Knowledge Transfer in Genetic Programming Hyper-heuristics YiMei.html MazharAnsariArdeh.html MengjieZhang.html
  69. 1 Miconi:2009:eurogp Why coevolution doesn't ``work'': superiority and progress in coevolution ThomasMiconi.html
  70. 3 Moraglio:2014:SMGP2 An Efficient Implementation of GSGP using Higher-Order Functions and Memoization AlbertoMoraglio.html
  71. 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
  72. 2 Motwani:2022:TSE Quality of Automated Program Repair on Real-World Defects ManishMotwani.html MauricioSoto.html YuriyBrun.html ReneJust.html ClaireLeGoues.html
  73. 1 Murphy:2009:MENDEL Gait Optimisation for Distinct Horse Models using Grammatical Evolution JamesMurphy.html MichaelO'Neill.html HamishCarr.html
  74. 6 Nazari20113966 Computer-aided design of the effects of Fe2O3 nanoparticles on split tensile strength and water permeability of high strength concrete AliNazari.html ShadiRiahi.html
  75. 5 Nelson2009345 Fitness functions in evolutionary robotics: A survey and analysis AndrewLNelson.html GregoryJBarlow.html LefterisDoitsidis.html
  76. 3 Nemeth:2026:UKCI PCA Landscape Projections for Meta-Analysis of Genetic Improvement for Source Code ZsoltNemeth.html PenelopeFaulknerRainford.html BarryPorter.html
  77. 1 Nguyen:2009:MENDEL Semantics based Mutation in Genetic Programming: The case for Real-valued Symbolic Regression QuangUyNguyen.html NguyenXuanHoai.html MichaelO'Neill.html
  78. 4 kinnear:nordin A Compiling Genetic Programming System that Directly Manipulates the Machine Code PeterNordin.html
  79. 2 Orzechowski:2020:EuroGP Benchmarking manifold learning methods on a large collection of datasets PatrykOrzechowski.html FranciszekMagiera.html JasonHMoore.html
  80. 1 Palmers:2009:DATE Massively multi-topology sizing of analog integrated circuits PieterPalmers.html TrentMcConaghy.html MichielSteyaert.html GeorgesGEGielen.html
  81. 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
  82. 23 Picek:2016:EC Evolutionary Algorithms for Boolean Functions in Diverse Domains of Cryptography StjepanPicek.html ClaudeCarlet.html SylvainGuilley.html JulianFMiller.html DomagojJakobovic.html
  83. 1 Poli:2013:mendel Coarse graining the Dynamics of Evolutionary Algorithms RiccardoPoli.html
  84. 2 ramlan:2026:EuroGP Extending Model Selection Criteria with Extrapolation and Sensitivity Penalties for Symbolic Regression FitriaWulandariRamlan.html ColmO'Riordan.html JamesMcDermott.html
  85. 2 Ritter:thesis Inferring and Analyzing Microarchitectural Performance Models FabianRitter.html
  86. 21 Rodriguez-Coayahuitl:TEVC Problem Decomposition Strategies and Credit Distribution Mechanisms in Modular Genetic Programming for Supervised Learning LinoRodriguez-Coayahuitl.html AnselYRodriguez-Gonzalez.html DanielFajardo-Delgado.html MariaGuadalupeSanchez-Cervantes.html
  87. 14 russell:2023:GECCOcomp A Selection Hyper-Heuristic for Transfer Learning in Genetic Programming JeffreyRussell.html NelishiaPillay.html
  88. 3 Sabeti2009263 Entropy and complexity measures for EEG signal classification of schizophrenic and control participants MaliheSabeti.html SerajeddinKatebi.html RezaBoostani.html
  89. 4 Safikou:2023:ACC Symbolic Regression for Fault Prognosis and Remaining Useful Life Estimation* EfstathiaSafikou.html GeorgeMBollas.html
  90. 21 Safikou:2025:ACCESS Fault Diagnosis and Prognosis With Inferential Sensors: A Hybrid Approach Integrating Symbolic Regression and Information Theory EfstathiaSafikou.html KrishnaRPattipati.html GeorgeMBollas.html
  91. 2 Scheepers:2026:GPEM A structure-based genetic programming generation constructive hyper-heuristic with transfer learning for combinatorial optimisation DariusScheepers.html NelishiaPillay.html
  92. 27 Schmidhuber:1999:AAAI Direct policy search and uncertain policy evaluation JurgenSchmidhuber.html JieyuZhao.html
  93. 2 Scott:thesis Enhancing Evolutionary Algorithm Performance with Knowledge Transfer and Asynchronous Parallelism EricOScott.html
  94. 1 Sekaj:2012:mendel Cartesian Genetic Programming Based Controller Design IvanSekaj.html BranislavKadlic.html TomasGasparik.html
  95. 1 Senkerik:2012:mendel Evolutionary Synthesis of Rules for Stabilization of Evolutionary Selected Discrete Chaotic Systems RomanSenkerik.html ZuzanaOplatkova.html IvanZelinka.html
  96. 3 shan:2002:AJJW AntTAG: a Further Study YinShan.html HusseinAAbbass.html RI_Bob_McKay.html DarylEssam.html
  97. 6 Sims:1994:evc Evolving Virtual Creatures KarlSims.html
  98. 6 teller:1995:PADO PADO: A New Learning Architecture for Object Recognition AstroTeller.html ManuelaVeloso.html
  99. 7 Tenachi:thesis Symbolic Machine Learning for Physics \& Astrophysics WassimTenachi.html
  100. 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
  101. 2 Togelius:2011:TCIAIG Search-based Procedural Content Generation: A Taxonomy and Survey JulianTogelius.html GeorgiosNYannakakis.html KennethOStanley.html CameronBrowne.html
  102. 1 tuite:mendel:2014 The Relationship between Semantic Distance and Performance in Dynamic Symbolic Regression Problems CliodhnaTuite.html MichaelO'Neill.html AnthonyBrabazon.html
  103. 3 Vanneschi:2026:GPEM SLIM: the non-bloating genetic programming with geometric semantic mutations and meaningful semantic crossover LeonardoVanneschi.html SofiaCarreiradaConceicaoAlvesPereira.html DavideFarinati.html
  104. 1 DBLP:conf/acalci/VickersSB17 Co-Evolving Line Drawings with Hierarchical Evolution DarwinVickers.html JacobNilsZwiSoderlund.html AlanBlair.html
  105. 3 conf/tpnc/WongWL16 Learning Grammar Rules in Probabilistic Grammar-Based Genetic Programming Pak-KanWong.html ManLeungWong.html Kwong-SakLeung.html
  106. 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
  107. 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
  108. 2 Zhang:2022:ieeeTEC An Evolutionary Forest for Regression HengzheZhang.html AiminZhou.html HuZhang.html
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