Changes to Genetic Programing Bibliography since 2026/06/20

New and modified entries

New

  1. CoG-19_paper_71 Adding Variety in NPCs Behaviour Using Emotions and Genetic Algorithms: the GENIE Project FedericaAgliata.html LauraAnnaRipamonti.html DarioMaggiorini.html DavideGadia.html
  2. Ahmad:thesis Towards Self-Reliant Robots: Skill Learning, Failure Recovery, and Real-Time Adaptation: Integrating Behavior Trees, Reinforcement Learning, and Vision-Language Models for Robust Robotic Autonomy FaseehAhmad.html
  3. Alterkawi:thesis Scaling Genetic Algorithms to Large Distributed Datasets LailaAlterkawi.html
  4. Bachinger:thesis Advances in Industrial Machine Learning Applications FlorianBachinger.html
  5. Banzhaf:2026:GECCO Neutrality, Simplicity and Search: Lessons from Genetic Programming WolfgangBanzhaf.html
  6. Basirat:thesis The Quest for the Golden Activation Function MinaBasirat.html
  7. Beade:2026:CSIS Using genetic programming as a feature selector and classifier to implement bankruptcy prediction models AngelBeade.html JoseSantosReyes.html ManuelRodriguezLopez.html
  8. Bhardwaj:2023:asjc EEG based personality prediction using genetic programming HarshitBhardwaj.html PradeepTomar.html AditiSakalle.html ArpitBhardwaj.html RishiAsthana.html AnkitVidyarthi.html
  9. blot:2026:GI 15th International Workshop on Genetic Improvement @ICSE 2025 AymericBlot.html OliverKrauss.html
  10. Chan-Ley:thesis Categorizacion robusta de imagenes de arte usando Brain Programming MarianaChan-Ley.html
  11. Connor:2026:GECCOcomp Can LLM's Pick Up Where GP Left off? Investigating LLM Mathematical Expression Simplification Capabilities MarkConnor.html
  12. DBLP:conf/ijcci/CuiTCLWH25 Extending Cartesian Genetic Programming via Iterative Subgraph Assessment HenningCui.html CamiloDeLaTorre.html SylvainCussat-Blanc.html HerveLuga.html DennisGWilson.html JoergHaehner.html
  13. Cui_Diss Improving Genetic Operators of Cartesian Genetic Programming HenningCui.html
  14. de-lima:2022:signals GRAPE: Grammatical Algorithms in Python for Evolution AllanDanilodeLima.html SamuelCarvalho.html DouglasMotaDias.html EnriqueNaredo.html JoeSullivan.html ConorRyan.html
  15. pmlr-v235-dong24b Pruner-Zero: Evolving Symbolic Pruning Metric From Scratch for Large Language Models PeijieDong.html LujunLi.html ZhenhengTang.html XiangLiu.html XinglinPan.html QiangWang2.html XiaowenChu.html
  16. Durcansky:2025:ECS Analyzing consumer behavior using neural networks and grammatical evolution AlesDurcansky.html KamilStanek.html MichalJezek.html JiriStastny.html
  17. Erata:2026:ICML Learning Randomized Reductions FerhatErata.html OrrParadise.html ThanosTypaldos.html TimosAntonopoulos.html ThanhVuNguyen.html ShafiGoldwasser.html RuzicaPiskac.html
  18. Falkner:2026:procs Detecting Degradation using Structure-Borne Sound in Flame Torch Cutting DominikFalkner.html ChristophSeiringer.html LeoSavernik.html MarkusSteindl.html EvansDoeOcansey.html AlexanderKinast.html FlorianBachinger.html MichaelAffenzeller.html
  19. DBLP:conf/eurocast/FleckWKA24 Vectorial Genetic Programming - Optimizing Segments for Feature Extraction PhilippFleck.html StephanMWinkler.html MichaelKommenda.html MichaelAffenzeller.html
  20. Fong:2025:ICML FEAT-KD: learning concise representations for single and multi-target regression via TabNet knowledge distillation KeiSenFong.html MehulMotani.html
  21. pmlr-v267-fong25b Pareto-Optimal Fronts for Benchmarking Symbolic Regression Algorithms KeiSenFong.html MehulMotani.html
  22. Fong:2026:GECCOcomp Pareto-Optimal Fronts for Benchmarking Symbolic Regression Algorithms KeiSenFong.html
  23. Galeta:2026:excel Transformer-Guided Mutation in Cartesian Genetic Programming for Approximate Multiplier Design OndrejGaleta.html
  24. galeta2026geneticprogrammingtransformerbasedmutation Genetic Programming with Transformer-Based Mutation for Approximate Circuit Design OndrejGaleta.html LukasSekanina.html
  25. Gillgren:thesis Interpretable machine learning applied to fusion plasmas AndreasGillgren.html
  26. MoritzHildemann_PhD_thesis Spatially explicit land use optimization under uncertainty MoritzJanHildemann.html
  27. DBLP:journals/cluster/IdrisIR19 Intelligent churn prediction for telecom using GP-AdaBoost learning and PSO undersampling AdnanIdris.html MuhammadAksamIftikhar.html ZiaurRehman.html
  28. Kadlecova:thesis Surrogate Models in Neural Architecture Search GabrielaKadlecova.html
  29. Kaska:2026:excel Evolving Robust Defenses: A Genetic Programming Approach to LLM Jailbreak Protection PetrKaska.html
  30. Kodytek:thesis Automatizace tvorby programu v prostredi LabVIEW pomoci genetickych algoritmu s vyuzitim prvku umele inteligence PavelKodytek.html
  31. kone_lalla_2024_ED269 IA et ethique pour l'amelioration du service public LallaAichaKone.html
  32. Kovacic:2025:mit Absorbed energy modeling of hypoeutectoid steels using linear regression and genetic programming taking into account continuous casting parameters MihaKovacic.html UrosZuperl.html GasperGantar.html
  33. Benjamin_Kovacs:thesis Optimizing Decision Making in Large-Scale Constrained Scheduling Problems using Simulation BenjaminKovacs.html
  34. Kripner:2025:RLC Symbolic World Models in Lean 4 for Reinforcement Learning MatejKripner.html
  35. Krzywda:2026:GECCOcomp SA-DCGP: Surrogate-Assisted Cartesian Genetic Programming with Dynamic Operator Scheduling for Contrastive Graph Clustering MaciejKrzywda.html SzymonLukasik.html AHGandomi.html
  36. Krzywda:2026:GECCOcomp2 Surrogate-Assisted Linear Genetic Programming for Evolving Graph Neural Networks for Node Classification MaciejKrzywda.html SzymonLukasik.html AHGandomi.html
  37. Kumar:2026:ICML Evolving Interpretable Constitutions for Multi-Agent Coordination UjwalKumar.html AliceSaito.html HershrajNiranjani.html RayanYessou.html TanPhanXuan.html
  38. li:2026:SSBSE Genetic Programming for Self-Adaptive Auto-Scaling of Microservices JiaLi.html MehrdadSabetzadeh.html ShivaNejati.html
  39. Lubrano:2026:GECCOcomp An Initial Investigation on the Generation of Logic Gate Networks using Cartesian Genetic Programming FrancescoLubrano.html EmanuelMessetti.html AlbertoScionti.html GiovanniSquillero.html AlbertoTonda.html
  40. Mrazek:2019:WOSET EvoApproxLib: Extended Library of Approximate Arithmetic Circuits VojtechMrazek.html ZdenekVasicek.html LukasSekanina.html
  41. Panizza:2026:GECCOcomp Learning Terrain-Aware Edge Costs for Ant-Colony Route Planning via Genetic Programming AsiaPanizza.html DavideColosimo.html FilippoMarcon.html ErikNielsen.html StefanoGenetti.html GiovanniIacca.html
  42. Pantridge:2026:GECCOcomp Diagnosing Problems with the Code Building Genetic Programming Representation EdwardRPantridge.html ThomasHelmuth.html
  43. Paul:2026:GECCOcomp Can Explainability Metrics Improve Genetic Programming? Lessons from 2048 LaurenPaul.html ChristinaPlump.html BernhardJBerger.html RolfDrechsler.html
  44. Saegert:2026:ICML Breaking the Simplification Bottleneck in Amortized Neural Symbolic Regression PaulSaegert.html UllrichKoethe.html
  45. Springer:2025:ARW Mechanical Design Optimization of a Pneumatically Actuated Parallel Kinematic Machine KlemensSpringer.html HubertGattringer.html AndreasMueller.html
  46. Stanovov:2026:GECCOcomp Genetic Programming for Automated Design of Problem-specific Scaling Factor Adaptation Strategies for Differential Evolution VladimirStanovov.html
  47. Stein:2026:GECCOcomp Revisiting Crossover Effectiveness in Quantum Circuit Synthesis ChristophStein.html StefanKlikovits.html ManuelWimmer.html
  48. Tenachi:thesis Symbolic Machine Learning for Physics \& Astrophysics WassimTenachi.html
  49. DBLP:conf/pricai/TianMZ25 Scalable Knee-Point Guided Activity Group Selection in Multi-tree Genetic Programming for Dynamic Multi-Mode Project Scheduling YuanTian.html YiMei.html MengjieZhang.html
  50. Trabucco:thesis Artificial intelligence as a tool for research and development in European patent law TommasoGiovanniTrabucco.html
  51. Tran:2026:GECCOcomp Improving Evaluation of Recombination-based Cartesian Genetic Programming DuyLongTran.html AnjaJankovic.html MarieAnastacio.html HolgerHHoos.html RomanTobiasKalkreuth.html
  52. Unemi:2024:GA Building a Web Site to Play Back Generative Animations TatsuoUnemi.html
  53. Velasco:2026:GECCOcomp Grammar-Based Subexpression Reuse in Grammatical Evolution JoseManuelVelascoCabo.html DanielParraRodriguez.html OscarGarnica.html JoseIgnacioHidalgoPerez.html
  54. vorokhta:2025:wbo Selecting the Best Lower-Bound Strategy in a Branch-and-Bound Algorithm Using Genetic Programming AlisaVorokhta.html GwenMaudet.html GregoireDanoy.html
  55. Xiangdong_Wu:2026:ICML Neural-Evolutionary Symbolic Regression with Global Constraints: Constraint-Aware Decoding and Reward Shaping XiangdongWu.html WenjunWu.html ZiyuWei.html BingrunChen.html ZhenboSong.html RongyeShi.html
  56. Shijie_Xia:2026:ICML SR-Scientist: Scientific Equation Discovery With Agentic AI ShijieXia.html YuhanSun.html PengfeiLiu.html
  57. Xue:2026:GPEM Introduction for the special issue on highlights of genetic programming 2024 \& 2025 events BingXue.html LucaManzoni.html NelishiaPillay.html AnikoEkart.html
  58. Yagin:2024:diagnostics Metabolomics Biomarker Discovery to Optimize Hepatocellular Carcinoma Diagnosis: Methodology Integrating AutoML and Explainable Artificial Intelligence FatmaHilalYagin.html RadwaElShawi.html AbdulmohsenAlgarni.html CemilColak.html FahaidAl-Hashem.html LucaPaoloArdigo.html
  59. Zamudio-Amaya:2026:SSBSE Search-Based Generation of Complex Inputs with FANDANGO JoseAntonioZamudioAmaya.html MariusSmytzek.html AndreasZeller.html
  60. Zegklitz:thesis Enhancements of Genetic Programming-based Symbolic Regression Algorithms JanZegklitz.html

Modified

  1. 2 Adami:2025:GPTP How evolution creates complexity: From viruses to brains ChristophAdami.html
  2. 2 Affenzeller:2025:GPTP On the Effects of Continuous Pruning on Symbolic Regression for Different Variants of Evolutionary Search MichaelAffenzeller.html
  3. 2 Bakurov:2025:GPTP Analyzing Fitness Aggregation Strategies for Symbolic Regression Problem-Solving IllyaBakurov.html
  4. 2 Beade:2024:INISTA Genetic programming for feature selection in business failure prediction. Comparison of the use of financial variables and economic environment variables AngelBeade.html ManuelRodriguezLopez.html JoseSantosReyes.html
  5. 3 Berghegger:2026:TELO Analyzing Interpretable Visual Control Policy Search and Synthesis ChristinaBerghegger.html CamiloDeLaTorre.html GiorgiaNadizar.html YuriLavinas.html DavidSimoncini.html HerveLuga.html DennisGWilson.html SylvainCussat-Blanc.html
  6. Bhardwaj:2013:GECCOcomp Performance improvement in genetic programming using modified crossover and node mutation ArpitBhardwaj.html ArunaTiwari.html
  7. Bhardwaj:2014:GECCOcomp Classification of EEG signals using a novel genetic programming approach ArpitBhardwaj.html ArunaTiwari.html MVishaalVarma.html MRameshKrishna.html
  8. Bhardwaj:2015:ESA Breast cancer diagnosis using Genetically Optimized Neural Network model ArpitBhardwaj.html ArunaTiwari.html
  9. Bhardwaj:2015:GECCO An Analysis of Integration of Hill Climbing in Crossover and Mutation operation for EEG Signal Classification ArpitBhardwaj.html ArunaTiwari.html MVishaalVarma.html MRameshKrishna.html
  10. Bhardwaj:2016:CMPB A novel genetic programming approach for epileptic seizure detection ArpitBhardwaj.html ArunaTiwari.html MRameshKrishna.html MVishaalVarma.html
  11. bhardwaj:atgp1 Advances and Trends in Genetic Programming: Volume 1: Classification Techniques and Life Cycles Paperback ArpitBhardwaj.html ArunaTiwari.html JasjitSSuri.html
  12. 3 Bideh:2026:GECCO LLM-ODE: Data-driven Discovery of Dynamical Systems with Large Language Models AmirmohammadZiaeiBideh.html JonathanGryak.html
  13. 1 Bischl:thesis Model and Algorithm Selection in Statistical Learning and Optimization BerndBischl.html
  14. 2 Bohm:2025:GPTP The Evolution of Heterogeneous Logic: An Analysis of the Buffet Method CliffordBohm.html ArendHintze.html
  15. 2 Bokhari:2020:GI9 Genetic Improvement of Software Efficiency: The Curse of Fitness Estimation MahmoudABokhari.html MarkusWagner.html BradAlexander.html
  16. 2 Card:2025:GPTP The Needs of the Few -- Information Theory Aided Ensemble Selection for Robustly Generalizing Causal Models StuCard.html
  17. 28 CHAND:2019:swarm Evolving rollout-justification based heuristics for resource constrained project scheduling problems ShelvinChand.html HemantSingh.html TapabrataRay.html
  18. 1 ga95aCona:1995:dGPs Developing a Genetic Programming System JohnCona.html
  19. 2 Crary:2025:GPTP FPGA-Based Streaming Processors for Tree-Based Genetic Programming ChristopherCCrary.html
  20. 2 Cussat-Blanc:2025:GPTP On Interpretability in Multimodal Biomedical Image Analysis SylvainCussat-Blanc.html
  21. 21 deResende:2016:BRACIS Time Series Imputation Using Genetic Programming and Lagrange Interpolation DamaresCOdeResende.html AdamoLimadeSantana.html FabioManoelFrancaLobato.html
  22. 2 Desell:2025:GPTP CANTS-GP: A Nature-Inspired Metaheuristic for Graph Based Genetic Programs TravisDesell.html
  23. 19 DESIMONE:2019:IJRMMS Estimating DEM microparameters for uniaxial compression simulation with genetic programming MarceloDeSimone.html LourdesMSSouza.html DeaneRoehl.html
  24. 4 Dhar:2026:GECCO Teaching the Teacher: The Role of Teacher-Student Smoothness Alignment in Genetic Programming-based Symbolic Distillation SoumyadeepDhar.html KeiSenFong.html MehulMotani.html
  25. 3 Eberbach:1997:eGPdc Enhancing Genetic Programming by \$-calculus EugeneEberbach.html
  26. 2 DBLP:journals/corr/abs-2303-03200 Vectorial Genetic Programming - Optimizing Segments for Feature Extraction PhilippFleck.html StephanMWinkler.html MichaelKommenda.html MichaelAffenzeller.html
  27. 3 Fong:2026:GECCO Generalization Analysis of Symbolic Regression Algorithms via Stability Theory KeiSenFong.html MehulMotani.html
  28. 2 Fonseca:2025:GPTP Bridging Genetic Programming and Programming Languages Research AlcidesFonseca.html
  29. 10 Fredericks:2026:GI Databending as a Target for Genetic Improvement ErikMFredericks.html ByronDeVries.html ReihanehHariri.html
  30. 24 Gautier:2015:FLM Closed-loop separation control using machine learning NicolasGautier.html Jean-LucAider.html ThomasDuriez.html BerndRNoack.html MarcSegond.html MarkusWAbel.html
  31. 11 Geiger:2026:GECCO ROIDS: Robust Outlier-Aware Informed Down-Sampling AlinaGeiger.html MartinBriesch.html DominikSobania.html FranzRothlauf.html
  32. 24 Giannetti:2024:applthermaleng Thermodynamic optimization of heat exchanger circuitry via genetic programming NiccoloGiannetti.html AdrianoMilazzo.html JohnCarloGarcia.html CheolHwanKim.html YuichiSei.html KojiEnoki.html KiyoshiSaito.html
  33. 14 goldman:2013:EuroGP Reducing Wasted Evaluations in Cartesian Genetic Programming BrianWGoldman.html WilliamFPunch.html
  34. 2 Guadalupe-Hernandez:2025:GPTP GP and LLMs for Program Synthesis with Varying Number of Input-Output Examples JoseGuadalupeHernandez.html
  35. 3 Heywood:2025:GPTP Offline reinforcement learning: A new challenge for symbolic regression? BryceMacInnis.html MalcolmHeywood.html
  36. 6 DBLP:conf/giscience/HildemannMV23 Genetic Programming for Computationally Efficient Land Use Allocation Optimization MoritzJanHildemann.html AlanMurray.html JudithVerstegen.html
  37. 1 hrvatic:2026:EuroGP Semantic Search Trajectory Networks for Understanding Genetic Programming JosipHrvatic.html MagdaSmolic-Rocak.html MarkoDurasevic.html GabrielaOchoa.html
  38. 2 Ikeda:2026:GECCO Diversified Residual Symbolic Regression KokiIkeda.html MasahiroNomura.html RyokiHamano.html
  39. 2 jadhwani:2026:GI Applying Genetic Improvement Techniques for Automated Program Repair of Transpiled Code PrashamJadhwani.html CarolHanna.html WilliamBLangdon.html JustynaPetke.html
  40. 1 Jorgensen:2026:TELO Policy Search through Genetic Programming and LLM-assisted Curriculum Learning StevenPJorgensen.html GiorgiaNadizar.html GloriaPietropolli.html LucaManzoni.html EricMedvet.html Una-MayO'Reilly.html ErikHemberg.html
  41. 2 Khanna:thesis Design and Development of Models for Analyzing Software Evolution MeghaUmmat.html
  42. 35 Koch:2026:GECCO Introns and Templates Matter: Rethinking Linkage in GP-GOMEA JohannesKoch.html TanjaAlderliesten.html PeterANBosman.html
  43. 3 kodytek:2024:pone Automated code development based on genetic programming in graphical programming language: A pilot study PavelKodytek.html AlexandraBodzas.html JanZidek.html
  44. 2 Kotanchek:2025:GPTP To Smoothly Go Where No Model has Gone Before Pareto Tournaments, Model Curvature and Alternating Objectives MarkKotanchek.html
  45. 2 langdon:2026:GI Improving a Parallel C++ Intel SSE SIMD Linear Genetic Programming Interpreter WilliamBLangdon.html CarolHanna.html
  46. 28 langdon:2026:sigevolution Who Found What: Searches of the Genetic Programming Bibliography WilliamBLangdon.html
  47. 2 Le:2025:GPTP LASER: How Learning Can Guide The Evolution Of Equations NamLe.html
  48. 2 lee:2026:GI GI-Agent Search-Based LLM Agent for Code Optimization with Genetic Improvement DonghyunLee.html WilliamBLangdon.html JustynaPetke.html
  49. 3 Lira:2026:GECCO Prior-Informed Symbolic Regression for Multiview Scientific Discovery HernanLira.html LuisMarti.html NayatSanchez-Pi.html
  50. 3 Kui_Liu:thesis Deep Pattern Mining for Program Repair KuiLiu.html
  51. 1 Yun_Liu:ieeeTEC Evolutionary Trainer-Based Deep Q-Network for Dynamic Flexible Job Shop Scheduling YunLiu.html FangfangZhang.html YananSun.html MengjieZhang.html
  52. 18 liu:2025:GECCOcomp3 Novel Application of Mutual Information in Transfer Learning for Genetic Programming YilinLiu.html GarethATaylor.html ZhengwenHuang.html
  53. 15 DBLP:conf/aaai/MaudetD25 Search Strategy Generation for Branch and Bound Using Genetic Programming GwenMaudet.html GregoireDanoy.html
  54. 2 McDermott:2025:GPTP Evolving Programs in the Lambda Calculus using Program Trace Optimisation JamesMcDermott.html
  55. 2 DBLP:conf/nips/MundhenkLGSFP21 Symbolic Regression via Neural-Guided Genetic Programming Population Seeding TNathanMundhenk.html MikelLandajuela.html RubenGlatt.html ClaudioPSantiago.html DanielMFaissol.html BrendenKylePetersen.html
  56. 2 Nadizar:2025:GPTP Interpretable Control with Graph-based Genetic Programming GiorgiaNadizar.html
  57. 7 Nikentari_2019 Comparing Grammatical Evolution Survivor Selection Methods in Forecasting Tidal Level NerfitaNikentari.html MuhamadRadziRathomi.html BondanChorisma.html
  58. 19 Obidiegwu:2026:GECCO Evolving Hardware-Efficient Grover Circuits with Grammatical Evolution ArinzeObidiegwu.html DouglasMotaDias.html EmmanuelObidiegwu.html ConorRyan.html
  59. 2 Ofria:2025:GPTP Tips on Effective Theory and Practice of Genetic Programming CharlesOfria.html
  60. 2 olague:2022:AS Automated Design of Salient Object Detection Algorithms with Brain Programming GustavoOlague.html JoseArmandoMenendez-Clavijo.html MatthieuOlague.html ArturoOcampo.html GerardoIbarra-Vazquez.html RocioOchoa.html RobertoPineda.html
  61. 4 Olson:2016:GECCO Evaluation of a Tree-based Pipeline Optimization Tool for Automating Data Science RandalSOlson.html NathanBartley.html RyanJUrbanowicz.html JasonHMoore.html
  62. 2 OReilly:2025:GPTP Spatial Genetic Programming with the S1 Processing Board Una-MayO'Reilly.html
  63. 15 Pan:2013:EAAI Improving semi-empirical equations of ultimate bearing capacity of shallow foundations using soft computing polynomials Chan-PingPan.html Hsing-ChihTsai.html Yong-HuangLin.html
  64. 7 DBLP:journals/sncs/PinnaRRML25 Exploring the Effect of Genetic Improvement for Large Language Models-Generated Code GiovanniPinna.html DamianoRavalico.html LuigiRovito.html LucaManzoni.html AndreaDeLorenzo.html
  65. 1 radi:1999:GPdelrholffNN Genetic Programming Discovers Efficient Learning Rules for the Hidden and Output Layers of Feedforward Neural Networks AmrMohamedMahmoudKhairatRadi.html RiccardoPoli.html
  66. 24 Real:2026:ICML AutoNumerics-Zero: Automated Discovery of State-of-the-Art Mathematical Functions EstebanReal.html MirkoRossini.html ConnaldeSouza.html ManavGarg.html MoritzFirsching.html QuocVLe.html YaoChen.html AkhilVerghese.html EkinDogusCubuk.html DavidHPark.html
  67. 2 Rolla:2025:GPTP Applications of Genetic Programming for Instrument Design JulieARolla.html
  68. 1 rosca:1996:cdectr Complexity Drift in Evolutionary Computation with Tree Representations JustinianRosca.html DanaHBallard.html
  69. 4 Rosenfeld:2026:GECCO From Six to Two: SLIM-DUO, a Simplified Extension of SLIM-GSGP LiahRosenfeld.html LeonardoVanneschi.html
  70. 3 Sabljo:2026:GECCO Evolving Dispatching Rules for the Unrelated Parallel Machines Scheduling Problem with Precedence and Resource Constraints with Genetic Programming JosipaSabljo.html MatejaDumic.html MarkoDurasevic.html
  71. 2 Saini:2025:GPTP Agentic-GP: A Theoretical Framework for the Development of Genetic Programming Systems Via Agentic AI AnilKumarSaini.html
  72. 2 Sengupta:2025:GPTP Building Scalable Automated Software Test Systems with LLMs ShubhoSengupta.html
  73. 3 Soltani:2026:GECCO A Comparative Study of Model Selection Criteria for Symbolic Regression AliSoltani.html GabrielKronberger.html FabricioOlivettideFranca.html MattiaBilla.html AlessandroLucantonio.html
  74. 2 Spector:2025:GPTP Evolution of Artificial Intelligence, Continued LeeSpector.html RyanBoldi.html PaulVanderVort.html NikoLorantos.html
  75. 3 Stein:2026:GECCO Genetic Programming for Evolving Tailored Spectral Vegetation Indices in the Context of Crop Pathogen Detection AnthonyStein.html JohannaVaske.html SimonMielke.html
  76. 2 Tonda:2025:GPTP Language Model-Driven Program Synthesis with Program Trace Optimization on the Abstraction and Reasoning Corpus AlbertoTonda.html
  77. 2 Trujillo:2025:GPTP Heeding good advise for research in genetic programming LeonardoTrujillo.html
  78. 1 Turner:2015:GPEM Introducing a cross platform open source Cartesian Genetic Programming library AndrewJamesTurner.html JulianFMiller.html
  79. 32 Urbanowicz:2022:GPTP STREAMLINE: A Simple, Transparent, End-To-End Automated Machine Learning Pipeline Facilitating Data Analysis and Algorithm Comparison RyanJUrbanowicz.html RobertZhang.html YuhanCui.html PranshuSuri.html
  80. 2 Vacher:2025:GPTP Advancing Machine Learning with Tangled Program Graphs: The Gegelati Framework for Efficient and Reproducible Solutions QuentinVacher.html
  81. 1 conf/ijcci/VanneschiC09 A Study of Genetic Programming Variable Population Size for Dynamic Optimization Problems LeonardoVanneschi.html GiuseppeCuccu.html
  82. 2 vanyi2:2001:gecco Giving Structural Descriptions of Tree-like Objects from Binary Images Using Genetic Programming RobertVanyi.html GabriellaKokai.html
  83. 24 Vikhar:2016:ICGTSPICC Evolutionary algorithms: A critical review and its future prospects PradnyaAVikhar.html
  84. 2 Watson:2025:GPTP Cognition-First Evolution RichardAWatson.html
  85. 1 yabuki04genetic Genetic programming using a Turing complete representation: recurrent network consisting of trees TaroYabuki.html HitoshiIba.html
  86. 1 yabuki04thesis Representation Schemes for Evolutionary Automatic Programming TaroYabuki.html
  87. 3 Yuan:2026:GECCO A Boundary-Aware Multi-Objective Genetic Programming Classifier with Stacking-Based Integration KaiweiYuan.html Xiaoying_Sharon_Gao.html JianbinMa.html JiaZhao.html
  88. 24 Zhong:2025:TEVC Multiform Genetic Programming Framework for Symbolic Regression Problems JinghuiZhong.html JunlanDong.html Wei-LiLiu.html LiangFeng.html JunZhang.html

New and modified entries