Changes to Genetic Programing Bibliography since 2026/04/27

New

1. Berghegger:2026:GECCOcomp Study on Search Heuristics in Cartesian Genetic Programming ChristinaBerghegger.html SylvainCussat-Blanc.html DavidSimoncini.html YuriLavinas.html
2. Bideh:2026:GECCO LLM-ODE: Data-driven Discovery of Dynamical Systems with Large Language Models AmirmohammadZiaeiBideh.html JonathanGryak.html
3. Chopard:2026:IMHoptGP Genetic Programming BastienChopard.html MarcoTomassini.html
4. Corne:1996:GeoComp Using Artificial Intelligence Techniques to Model Subglacial Water Systems SimonCorne.html TaviMurray.html StanleyOpenshaw.html LindaSee.html IanTurton.html
5. Corne:1999:jgeosy Using computational intelligence techniques to model subglacial water systems SimonCorne.html TaviMurray.html StanleyOpenshaw.html LindaSee.html IanTurton.html
6. deFranca:2026:GECCOcomp Promoting Diversity in Cartesian Genetic Programming for Image Processing with Equality Graphs FabricioOlivettideFranca.html SylvainCussat-Blanc.html YuriLavinas.html PaulMonsarrat.html
7. 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
8. Diplock:1996:GeoComp Building New Spatial Models: a Supercomputing Approach GaryDiplock.html
9. Diplock:1998:EPA Building New Spatial Interaction Models by Using Genetic Programming and a Supercomputer GaryDiplock.html
10. Duan:2026:GECCOcomp Logistic Loss: A Novel Fitness Function to Increase Generalisation and Performance for Binary Classification JiajunDuan.html MiguelNicolau.html MichaelO'Neill.html
11. El-Saliby:2026:GECCOcomp Fairness and Symbolic Regression MichelElSaliby.html DavidIbehej.html NicoleVergara.html AnikoEkart.html
12. Fong:2026:GECCO Generalization Analysis of Symbolic Regression Algorithms via Stability Theory KeiSenFong.html MehulMotani.html
13. Geiger:2026:GECCO ROIDS: Robust Outlier-Aware Informed Down-Sampling AlinaGeiger.html MartinBriesch.html DominikSobania.html FranzRothlauf.html
14. gilbert2006 Emerging Artificial Societies Through Learning NigelGilbert.html MatthijsdenBesten.html AkosBontovics.html BartGWCraenen.html FedericoDivina.html GuszEiben.html RobertGriffioen.html GyorgyHevizi.html AndrasLorincz.html BenPaechter.html StephanSchuster.html MartijnCSchut.html ChristianTzolov.html PaulAVogt.html LuYang.html
15. Gil-Gala:2026:GECCOcomp A Hybrid Hyper-Metaheuristic for the Energy-Aware Interval Flexible Job Shop Problem FranciscoJavierGilGala.html SezinAfsar.html MarkoDurasevic.html JuanJosePalacios.html JorgePuentePeinador.html CaminoVela.html
16. Goncalves-Pereira:2026:GECCOcomp Exploring Elitism Strategies in Nested Tournament Selection for Multi-Objective Genetic Programming FilipaVieiraGoncalvesPereira.html KarinaBrottoRebuli.html MarioGiacobini.html LeonardoVanneschi.html
17. Haut:2026:GECCOcomp Genetic Programming-Based Modeling of Systems of Differential Equations NathanielHaut.html StuCard.html MarkKotanchek.html
18. Haut:2026:GECCOcomp2 GPU Acceleration of Genetic Programming for Symbolic Regression with the Beagle System NathanielHaut.html IlyaBasin.html MarziehKianinejad.html RuchikaGupta.html ElijahSmith.html ZachPerrico.html WolfgangBanzhaf.html
19. Helmuth:2026:GECCOcomp Code Building Genetic Programming with Ad-Hoc Polymorphism ThomasHelmuth.html SydneyChen.html OwenDennen.html IsabelleNahon.html
20. Ikeda:2026:GECCO Diversified Residual Symbolic Regression KokiIkeda.html MasahiroNomura.html RyokiHamano.html
21. kamalov:tel-04042245 Scalable algorithms for graph-based semi-supervised learning with embedding MikhailKamalov.html
22. Koch:2026:GECCO Introns and Templates Matter: Rethinking Linkage in GP-GOMEA JohannesKoch.html TanjaAlderliesten.html PeterANBosman.html
23. Danlin_Li:2026:GECCOcomp A Genetic Programming Multi-Agent Topology Optimization Method under Stability Constraints DanlinLi.html BinWang.html WenzhuYang.html BingXue.html MengjieZhang.html
24. li2026bridgingevolutionaryalgorithmsreinforcement Bridging Evolutionary Algorithms and Reinforcement Learning: A Comprehensive Survey on Hybrid Algorithms PengyiLi.html JianyeHao.html HongyaoTang.html XianFu.html YanZheng.html KeTang.html
25. Lira:2026:GECCO Prior-Informed Symbolic Regression for Multiview Scientific Discovery HernanLira.html LuisMarti.html NayatSanchez-Pi.html
26. yanqiao_lv:2026:GECCOcomp Transformer Guided Multi-Fitness Genetic Programming for Symbolic Regression yanqiaolv.html wei-liliu.html JinghuiZhong.html YushengWu.html JunZhang.html
27. Obidiegwu:2026:GECCO Evolving Hardware-Efficient Grover Circuits with Grammatical Evolution ArinzeObidiegwu.html DouglasMotaDias.html EmmanuelObidiegwu.html ConorRyan.html
28. Olech:2026:GECCOcomp Instance-Aware Automatic Parameter Set-up of Genetic Algorithm Using Symbolic Regression: A Case Study on Multi-Objective Multi-Skill Resource-Constrained Project Scheduling Problem LukaszPOlech.html PawelBMyszkowski.html KonradGmyrek.html
29. Openshaw:1996:GeoComp GeoComputation StanleyOpenshaw.html RobertJAbrahart.html
30. Pessoa-Sousa:2026:GECCOcomp Evolving Dispatching Rules for Electric AGVs at Container Terminals Using Genetic Programming FilipePessoaSousa.html AugustoMendonca.html IgorMachadoCoelho.html CristianeOliveiradeFaria.html
31. Pinna:2025:Ital-IA-TW Improving LLM-Generated Code via Genetic Improvement: A Summary of Recent Advances GiovanniPinna.html DamianoRavalico.html LuigiRovito.html LucaManzoni.html AndreaDeLorenzo.html
32. Renzullo:thesis Biological Properties of Software Insights for Measuring and Manipulating Programs JosephRenzullo.html
33. Ritter:2026:GECCOcomp Structural Meta-Case Regularization for Lexicase Selection BenRitter.html LeeSpector.html
34. Rosenfeld:2026:GECCO From Six to Two: SLIM-DUO, a Simplified Extension of SLIM-GSGP LiahRosenfeld.html LeonardoVanneschi.html
35. 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
36. Siper:2026:GECCOcomp Continuous Program Search MatthewSiper.html AhmedAbdelSameaKhalifa.html LisaSoros.html MuhammadUmairNasir.html JuyanAzhang.html JulianTogelius.html
37. smith26 Quantifying Dota 2 Invoker Agent Spell Casting Behaviours RobertJSmith.html MalcolmHeywood.html
38. Soltani:2026:GECCO A Comparative Study of Model Selection Criteria for Symbolic Regression AliSoltani.html GabrielKronberger.html FabricioOlivettideFranca.html MattiaBilla.html AlessandroLucantonio.html
39. Stein:2026:GECCO Genetic Programming for Evolving Tailored Spectral Vegetation Indices in the Context of Crop Pathogen Detection AnthonyStein.html JohannaVaske.html SimonMielke.html
40. Turton:1996:GeoComp Human Systems Modelling: Results of the HPC Initiative at Leeds IanTurton.html StanleyOpenshaw.html
41. Velasco:2026:GECCO Fitness Landscape Analysis of Grammatical Evolution Models for Glucose Prediction JoseManuelVelascoCabo.html DanielParraRodriguez.html OscarGarnica.html JoseIgnacioHidalgoPerez.html
42. Wilson:habilitation Methods in Exploration and Interpretability for Automating Discovery DennisGWilson.html
43. Zhicheng_Wu:2026:GECCOcomp MEFL: A Two-Stage Evolutionary Feature Learning Approach to Skin Cancer Diagnosis from Multimodal Data ZhichengWu.html BingXue.html MengjieZhang.html
44. Chenhao_Xue:2026:GECCOcomp Manifold-Guided Feature Construction Using Multi-Objective Genetic Programming for Music Tagging ChenhaoXue.html TingtingYang.html
45. 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
46. Jia_Zhao:2026:GECCOcomp A Distance-based GP Classifier Construction Method for Imbalanced Data Using Dual-Tree Represention JiaZhao.html Xiaoying_Sharon_Gao.html JianbinMa.html KaiweiYuan.html
47. Juncheng_Zhao:2026:GECCOcomp Evolutionary Identification of Scientific Equations Using Language-Model-Guided Symbolic Regression JunchengZhao.html KeiSenFong.html MehulMotani.html

Modified

1. 1 Abbona:2020:CEC A GP Approach for Precision Farming FrancescaAbbona.html LeonardoVanneschi.html MarcoBona.html MarioGiacobini.html
2. 21 ABOOALI:2019:JPSE A new empirical model for estimation of crude oil/brine interfacial tension using genetic programming approach DanialAbooali.html MohammadAminSobati.html ShahrokhShahhosseini.html MehdiAssareh.html
3. 8 Adami:2025:GPTP How evolution creates complexity: From viruses to brains ChristophAdami.html
4. 1 Affenzeller:2025:GPTP On the Effects of Continuous Pruning on Symbolic Regression for Different Variants of Evolutionary Search MichaelAffenzeller.html
5. 2 AfzalTF08 A Systematic Mapping Study on Non-Functional Search-based Software Testing WasifAfzal.html RichardTorkar.html RobertFeldt.html
6. 1 Al-Helali:2020:CEC Genetic Programming with Noise Sensitivity for Imputation Predictor Selection in Symbolic Regression with Incomplete Data BalighAl-Helali.html QiChen.html BingXue.html MengjieZhang.html
7. 1 Al-Helali:2020:CEC2 Multi-Tree Genetic Programming-based Transformation for Transfer Learning in Symbolic Regression with Highly Incomplete Data BalighAl-Helali.html QiChen.html BingXue.html MengjieZhang.html
8. 5 anthes:2026:EuroGP Syntactic Flexibility Enables Compact Solutions in Transformer Semantic GP PhilippAnthes.html
9. 1 Ardeh:2020:CEC Genetic Programming Hyper-Heuristics with Probabilistic Prototype Tree Knowledge Transfer for Uncertain Capacitated Arc Routing Problems MazharAnsariArdeh.html YiMei.html MengjieZhang.html
10. 31 AZARHOOSH:2019:US Performance analysis of ultrasound-assisted synthesized nano-hierarchical SAPO-34 catalyst in the methanol-to-lights-olefins process via artificial intelligence methods MohammadJavadAzarhoosh.html RoueinHalladj.html SimaAskari.html AbbasAghaeinejad-Meybodi.html
11. 2 Bakshi:2012:ijetae To Accomplish Amelioration Of Classifier Using Gene-Mutation Tactics In Genetic Programming AnkitBakshi.html PallaviPandit.html SantoshEaso.html
12. 1 Batista:2020:CEC Improving the Detection of Burnt Areas in Remote Sensing using Hyper-features Evolved by M3GP JoaoEBatista.html SaraSilva.html
13. 10 Batista:2026:evoapplications EvoTADASHI: Genetic Programming for High-Performance Code Optimization JoaoEBatista.html EmilVatai.html AleksandrDrozd.html MohamedWahib.html
14. 6 berghegger:2026:EuroGP Using Monte Carlo Tree Search to Enhance Search Space Exploration in Cartesian Genetic Programming ChristinaBerghegger.html CamiloDeLaTorre.html SylvainCussat-Blanc.html YuriLavinas.html DavidSimoncini.html
15. 3 Berutich:thesis Robust Optimization of Algorithmic Trading Systems JoseManuelBerutich.html
16. 6 bhattacharaya:2026:EuroGP A Hybrid LLM-Coevolution Framework to Generate Abusive Tax Strategies JoySeraBhattacharya.html ErikHemberg.html Una-MayO'Reilly.html
17. 1 Bi:2020:CEC Genetic Programming-Based Feature Learning for Facial Expression Classification YingBi.html BingXue.html MengjieZhang.html
18. 1 blickle:thesis Theory of Evolutionary Algorithms and Application to System Synthesis TobiasBlickle.html
19. 1 Bokhari:2020:CEC A Genetic Programming-based Multi-objective Optimization Approach to Data Replication Strategies for Distributed Systems SyedMohtashimAbbasBokhari.html OliverTheel.html
20. 5 bouras:2025:ssbse Optimised Fitness Functions for Automated Improvement of Software's Execution Time DimitriosStamatiosBouras.html CarolHanna.html JustynaPetke.html
21. 5 briesch:2026:EuroGP On the Effects of Down-Sampling for Tournament and Lexicase Selection in Program Synthesis MartinBriesch.html
22. Brookhouse:2014:GECCOcomp Working with OpenCL to speed up a genetic programming financial forecasting algorithm: initial results JamesBrookhouse.html FernandoEstebanBarrilOtero.html MichaelKampouridis.html
23. 3 Cabalar:2010:NCA Constitutive modeling of Leighton Buzzard Sands using genetic programming AliFiratCabalar.html AbdulkadirCevik.html IbrahimHGuzelbey.html
24. 9 Chapelle:2004:MMT Closed form solutions for inverse kinematics approximation of general 6R manipulators FredericChapelle.html PhilippeBidaud.html
25. 1 Chaturvedi:2020:CEC Genetic Programming for Domain Adaptation in Product Reviews ItiChaturvedi.html ErikCambria.html SandroCavallari.html RoyEWelsch.html
26. Chaudhri:2000:GECCO Characterizing a Tunably Difficult Problem in Genetic Programming OmarAChaudhri.html JasonMDaida.html JonathanChewHoeKhoo.html WendellSRichardson.html RachelBHarrison.html WilliamJSloat.html
27. 3 Chen:2020:CEC A Data-Driven Genetic Programming Heuristic for Real-World Dynamic Seaport Container Terminal Truck Dispatching XinanChen.html RuibinBai.html RongQu.html HaiboDong.html JianjunChen.html
28. 1 1144138 Genetic programming for agricultural purposes ClementChion.html LuisEDaCosta.html Jacques-AndreLandry.html
29. 5 Chion:2008:ieeeTGRS A Genetic-Programming-Based Method for Hyperspectral Data Information Extraction: Agricultural Applications ClementChion.html Jacques-AndreLandry.html LuisEDaCosta.html
30. chopard2000 Parallel and distributed evolutionary computation for financial applications BastienChopard.html OlivierVPictet.html MarcoTomassini.html
31. 1 Cross-AI-2018-PhD-Thesis Reconfigurable computing for advanced trading strategies AndreeaIngridCross.html
32. TooL_artifact_2024 Artifact of Enhancing Search-Based Testing with LLM for Finding Bugs in System Simulators AidanDakhama.html KarineEven-Mendoza.html WilliamBLangdon.html HectorMenendez.html JustynaPetke.html
33. 5 Dakhama:2025:SSBSE GreenMalloc: Allocator Optimisation for Industrial Workloads AidanDakhama.html WilliamBLangdon.html HectorMenendez.html KarineEven-Mendoza.html
34. 5 de-la-torre:2026:EuroGP A Comparative Study on Robustness in Evolved Image Classifiers CamiloDeLaTorre.html StephaneTreillard.html CamilleFranchet.html HerveLuga.html DennisGWilson.html SylvainCussat-Blanc.html
35. 6 deFranca:ieeeTEC SRBench++: Principled Benchmarking of Symbolic Regression With Domain-Expert Interpretation FabricioOlivettideFranca.html MarcoVirgolin.html MichaelKommenda.html MaimunaMajumder.html MilesCranmer.html GuilhermeJorgeNunesMonteiroEspada.html LeonIngelse.html AlcidesFonseca.html MikelLandajuela.html BrendenKylePetersen.html RubenGlatt.html TNathanMundhenk.html ChakShingLee.html JacobDeanHochhalter.html DavidLRandall.html Pierre-AlexandreKamienny.html HengzheZhang.html GrantDick.html AlessandroSimon.html BogdanBurlacu.html JaanKasak.html MeeraMachado.html CasperWilstrup.html WilliamLaCava.html
36. Desmond:2026:RSTA (Exhaustive) symbolic regression and model selection by minimum description length HarryDesmond.html
37. 6 diplock:thesis The application of evolutionary computing techniques to spatial interaction modelling GaryDiplock.html
38. 7 1277023 Balancing quality and quantity in evolving agent systems GuszEiben.html JoeriBekker.html RobertGriffioen.html EvertHaasdijk.html
39. 1 Ekart:2020:CEC Genetic Programming with Transfer Learning for Urban Traffic Modelling and Prediction AnikoEkart.html AlinaPatelli.html VictoriaLush.html ElisabethIlie-Zudor.html
40. 6 Espejo:2010:ieeetSMC A Survey on the Application of Genetic Programming to Classification PedroGonzalezEspejo.html SebastianVentura.html FranciscoHerrera.html
41. 1 Fan:2020:CEC A Region Adaptive Image Classification Approach Using Genetic Programming QinglanFan.html BingXue.html MengjieZhang.html
42. 5 farinati:2026:EuroGP NEVO-GSPT: Population-Based Neural Network Evolution Using Inflate and Deflate Operators DavideFarinati.html FredericoJJBSantos.html LeonardoVanneschi.html MauroCastelli.html
43. Fernandes:2026:raLGP An FPGA-Based Architecture for Accelerating Linear Genetic Programming Evaluation MarinaFernandes.html ChristopherCCrary.html BogdanBurlacu.html WesleyPPiard.html GregStitt.html WolfgangBanzhaf.html StephenKelly.html
44. 1 Ferreira:2020:CEC Applying Genetic Programming to Improve Interpretability in Machine Learning Models LeonardoAugustoFerreira.html FredericoGadelhaGuimaraes.html RodrigoCesarPedrosaSilva.html
45. 1 Filho:2020:CEC Explaining Symbolic Regression Predictions RenatoMirandaFilho.html AnisioLacerda.html GiseleLPappa.html
46. 1 DBLP:conf/ichit/FitzgeraldR11 Validation Sets for Evolutionary Curtailment with Improved Generalisation JeannieFitzgerald.html ConorRyan.html
47. 1 Fitzgerald:2014:cicsyn Selection Bias and Generalisation Error in Genetic Programming JeannieFitzgerald.html ConorRyan.html
48. 5 Frank_D._Francone_Licensiate_Thesis Dynamics and Performance of a Linear Genetic Programming System FrankDFrancone.html
49. 1 Fredericks:2026:GI Databending as a Target for Genetic Improvement ErikMFredericks.html ByronDeVries.html ReihanehHariri.html
50. 1 Geng:2020:CEC Sports Games Modeling and Prediction using Genetic Programming ShengkaiGeng.html TingHu.html
51. 2 gil-gala:2023:GECCO Genetic Programming for the Vehicle Routing Problem with Zone-Based Pricing FranciscoJavierGilGala.html SezinAfsar.html MarkoDurasevic.html JuanJosePalacios.html MuratAfsar.html
52. 1 grinan:2020:CEC Generating Tree Inputs For Testing Using Evolutionary Computation Techniques DavidGrinan.html AlfredoIbias.html
53. 33 GU:2024:cie Dynamic scheduling mechanism for intelligent workshop with deep reinforcement learning method based on multi-agent system architecture WenbinGu.html SiqiLiu.html ZhenyangGuo.html MinghaiYuan.html FengquePei.html
54. 17 HANSEN:2024:ijfatigue Interpretable machine learning for microstructure-dependent models of fatigue indicator parameters CooperKHansen.html GaryFWhelan.html JacobDeanHochhalter.html
55. 1 Harada:2020:CEC Proposal of Multimodal Program Optimization Benchmark and Its Application to Multimodal Genetic Programming TomohiroHarada.html KeiMurano.html RuckThawonmas.html
56. 1 Helmuth:2012:GPTP Evolving SQL Queries from Examples with Developmental Genetic Programming ThomasHelmuth.html LeeSpector.html
57. 8 Hemberg:2024:GPTP Survey of Genetic Programming and Large Language Models ErikHemberg.html StevenPJorgensen.html Una-MayO'Reilly.html
58. 1 hornby:2001:GECCO Body-Brain Co-evolution Using L-systems as a Generative Encoding GregorySHornby.html JordanBPollack.html
59. 5 hrvatic:2026:EuroGP Semantic Search Trajectory Networks for Understanding Genetic Programming JosipHrvatic.html MagdaSmolic-Rocak.html MarkoDurasevic.html GabrielaOchoa.html
60. 20 Hyde:2010:cec Providing a memory mechanism to enhance the evolutionary design of heuristics EdmundBurke.html MatthewRHyde.html GrahamKendall.html
61. 1 Aldeia:2020:CEC A Parametric Study of Interaction-Transformation Evolutionary Algorithm for Symbolic Regression GuilhermeSeidyoImaiAldeia.html FabricioOlivettideFranca.html
62. 1 Jericho:2020:CEC Genetic Programming Hyper-heuristic with Cluster Awareness for Stochastic Team Orienteering Problem with Time Windows JacksonJericho.html YiMei.html
63. 8 Kamalov:2021:EUSIPCO PaZoe: classifying time series with few labels MikhailKamalov.html AurelieBoisbunon.html CarloFanara.html IngridGrenet.html JonathanDaeden.html
64. 1 Kaufmann:2020:CEC On the Parameterization of Cartesian Genetic Programming PaulKaufmann.html RomanTobiasKalkreuth.html
65. 3 Kelly:2017:EuroGP Emergent Tangled Graph Representations for Atari Game Playing Agents StephenKelly.html MalcolmHeywood.html
66. 27 Khan:2025:marpol Harnessing artificial neural networks for coastal erosion prediction: A systematic review AbdulRehmanKhan.html MohdShahrizalBinAbRazak.html BadronnisaBintiYusuf.html HelmiZulhaidiBinMohdShafri.html NoorasiahBintiMohamad.html
67. 2 Khan:2024 A Comprehensive Survey of Genetic Programming Applications in Modern Biological Research MohammadWahabKhan.html
68. 6 Kim:2019:CEC Evolutionary Optimization of Hyperparameters in Deep Learning Models Jin-YoungKim.html SungBaeCho.html
69. 5 kocherovsky:2026:EuroGP Node Preservation and its Effect on Crossover in Cartesian Genetic Programming MarkKocherovsky.html IllyaBakurov.html WolfgangBanzhaf.html
70. 5 kocherovsky:2026:EuroGP2 New Perspectives on Cartesian Genetic Programming: A Survey MarkKocherovsky.html HenningCui.html IllyaBakurov.html MichaelHeider.html RomanTobiasKalkreuth.html WolfgangBanzhaf.html
71. 2 Kotanchek:2007:GPTP Trustable symbolic regression models: using ensembles, interval arithmetic and Pareto fronts to develop robust and trust-aware models MarkKotanchek.html GuidoFSmits.html Ekaterina_Katya_Vladislavleva.html
72. 5 koza-90 Genetic programming: A paradigm for genetically breeding populations of computer programs to solve problems JohnKoza.html
73. 4 koza:book Genetic Programming: On the Programming of Computers by Means of Natural Selection JohnKoza.html
74. 6 Lall:2026:evoapplications Genetic Programming for Energy-Efficient Device-Edge Collaborative Inference ShrutiLall.html NelishiaPillay.html
75. 1 langdon:2020:cec Genetic Improvement of Genetic Programming WilliamBLangdon.html
76. 1 langdon:2020:small_mem_ga_2pages Multi-threaded Memory Efficient Crossover in C++ for Generational Genetic Programming WilliamBLangdon.html
77. 1 langdon:2024:GI Deep Mutations have Little Impact WilliamBLangdon.html DavidClark.html
78. 2 langdon:2024:ASE Deep Imperative Mutations have Less Impact WilliamBLangdon.html DavidClark.html
79. 1 Langdon:2025:IMOL Open-Ended Evolution with Linear Genetic Programming WilliamBLangdon.html
80. 1 langdon:2026:GI Improving a Parallel C++ Intel SSE SIMD Linear Genetic Programming Interpreter WilliamBLangdon.html CarolHanna.html
81. 5 lavinas:2026:EuroGP Reducing Computational Overhead in Biomedical Image Segmentation via Active Learning and PCA-Based Diversity Filtering in CGP YuriLavinas.html NathanielHaut.html SylvainCussat-Blanc.html WolfgangBanzhaf.html
82. 1 lee:2026:GI GI-Agent Search-Based LLM Agent for Code Optimization with Genetic Improvement DonghyunLee.html WilliamBLangdon.html JustynaPetke.html
83. 1 LeGoues:2025:TSE The Evolution of Automated Software Repair ClaireLeGoues.html ThanhVuNguyen.html StephanieForrest.html WestleyWeimer.html
84. 29 LI:2023:jenvman Application of artificial intelligence-based methods in bioelectrochemical systems: Recent progress and future perspectives ChunyanLi.html DongchaoGuo.html YanDang.html DezhiSun.html PengsongLi.html
85. 1 Lima:2020:CEC A Symmetric grammar approach for designing segmentation models RicardoHenriqueRemesdeLima.html AuroraTrinidadRamirezPozo.html AlexanderMendiburu.html RobertoSantana.html
86. 23 LIU:2023:compeleceng W-AMA: Weight-aware Approximate Multiplication Architecture for neural processing BoLiu2.html RenYuanZhang.html QiaoShen.html ZejuLi.html NaXie.html YuanhaoWang.html ChonghangXie.html HaoCai.html
87. 1 Liu:2020:CEC Data-Driven Regular Expressions Evolution for Medical Text Classification Using Genetic Programming JiandongLiu.html RuibinBai.html ZhengLu.html PeimingGe.html UweAickelin.html DaoyunLiu.html
88. 9 Liu:2026:evoapplications Adaptive Curriculum Learning in Genetic Programming-Guided Local Search for Large-Scale Vehicle Routing Problems SainingLiu.html YiMei.html MengjieZhang.html
89. 19 lones::04 Modelling biological evolvability: Implicit context and variation filtering in enzyme genetic programming MichaelALones.html AndrewMTyrrell.html
90. Lourenco:2012:GECCOcomp Evolving evolutionary algorithms NunoLourenco.html FranciscoJoseBaptistaPereira.html ErnestoCosta.html
91. Lourenco:2013:GECCO The importance of the learning conditions in hyper-heuristics NunoLourenco.html FranciscoJoseBaptistaPereira.html ErnestoCosta.html
92. 24 Lv:2019:IEMDC Investigation of Prediction Models for Forces Calculation in Linear Induction Motor with Data-Based System Identification Algorithms GangLv.html DihuiZeng.html TongZhou.html MicheleDegano.html
93. 1 Manzi:2020:CEC Discovering Unmodeled Components in Astrodynamics with Symbolic Regression MatteoManzi.html MassimilianoVasile.html
94. 7 Manzoni:2026:GP EuroGP 2026: Proceedings of the 29th European Conference on Genetic Programming LucaManzoni.html SylvainCussat-Blanc.html QiChen.html
95. 1 Mashiane:2014:PRASA Genetic Programming for Password Cracking, Phase One: Grammar Induction ThulaniMashiane.html NelishiaPillay.html
96. 1 Miranda:2020:CEC Instance Selection for Geometric Semantic Genetic Programming LuisFernandoMiranda.html LuizOtavioOliveira.html JoaoFranciscoMartins.html GiseleLPappa.html
97. 5 miranda:2026:EuroGP Sinking the Bloat in Genetic Programming Using Equality Saturation LucasMiranda.html EmiliodeCamargoFrancesquini.html FabricioOlivettideFranca.html MatheusCamposFernandes.html
98. 4 MO:2018:ASC GMDH-based hybrid model for container throughput forecasting: Selective combination forecasting in nonlinear subseries LiliMo.html LingXie.html XiaoyiJiang.html GeerTeng.html LixiangXu.html JinXiao.html
99. 1 Moyano:2020:CEC Tree-Shaped Ensemble of Multi-Label Classifiers using Grammar-Guided Genetic Programming JoseMMoyano.html EvaLGibaja.html KrzysztofJCios.html SebastianVentura.html
100. 10 Mrazek:2020:AICAS Using Libraries of Approximate Circuits in Design of Hardware Accelerators of Deep Neural Networks VojtechMrazek.html LukasSekanina.html ZdenekVasicek.html
101. 1 Murphy:2020:CEC Improving Module Identification and Use in Grammatical Evolution AidanMurphy.html ConorRyan.html
102. 5 nadizar:2026:EuroGP Optimal Mixing in Graph-Based GP for Control: Genotypical Dependencies Are Hardly Captured GiorgiaNadizar.html GloriaPietropolli.html EricMedvet.html
103. 6 naqvi:2026:EuroGP Dynamic Vector and Matrix Memory for Tangled Program Graphs AliNaqvi.html StephenKelly.html
104. 13 Nedjah:2005:Informatica Multi-Objective CMOS-Targeted Evolutionary Hardware for Combinational Digital Circuits NadiaNedjah.html LuizadeMacedoMourelle.html
105. 1 Nguyen:2020:CEC Grammatical Evolution to Mine OWL Disjointness Axioms Involving Complex Concept Expressions ThuHuongNguyen.html AndreaGBTettamanzi.html
106. 1 Nordin:1995:cce Complexity Compression and Evolution PeterNordin.html WolfgangBanzhaf.html
107. 1 nordin:1996:aigp2 Explicitly Defined Introns and Destructive Crossover in Genetic Programming PeterNordin.html FrankDFrancone.html WolfgangBanzhaf.html
108. 2 nordin:humanoider Humanoider: Sjavlarande robotar och artificiell intelligens PeterNordin.html JohannaWilde.html
109. 1 Olson:2019:autoML TPOT: A Tree-Based Pipeline Optimization Tool for Automating Machine Learning RandalSOlson.html JasonHMoore.html
110. 2 olsson:1994:thesis Inductive functional programming using incremental program transformation and Execution of logic programs by iterative-deepening A* SLD-tree search JRolandOlsson.html
111. 6 oltean:2004:CS A Comparison of Several Linear Genetic Programming Techniques MihaiOltean.html CrinaGrosan.html
112. 2 ondas:2005:WSC Genetic Programming, Probabilistic Incremental Program Evolution, and Scalability RadovanOndas.html MartinPelikan.html KumaraSastry.html
113. 2 oneill:thesis Automatic Programming in an Arbitrary Language: Evolving Programs with Grammatical Evolution MichaelO'Neill.html
114. 4 Openshaw:1997:AIg Artificial Intelligence in Geography StanleyOpenshaw.html ChristineOpenshaw.html
115. 6 Pacioni:2026:evoapplications FedGP Resilience: A Comparative Study with Standard Federated Aggregation Methods under Adversarial Scenarios EliaPacioni.html CelienMuller.html FranciscoFernandezdeVega.html DavideCalvaresi.html
116. 1 Pappa:2013:GPEM Contrasting meta-learning and hyper-heuristic research: the role of evolutionary algorithms GiseleLPappa.html GabrielaOchoa.html MatthewRHyde.html AlexAlvesFreitas.html JohnRWoodward.html JerrySwan.html
117. 1 Pei:2020:CEC A Threshold-free Classification Mechanism in Genetic Programming for High-dimensional Unbalanced Classification WenbinPei.html BingXue.html LinShang.html MengjieZhang.html
118. 5 pereira:2026:EuroGP Extended Semantics Operator for Genetic Programming: A Semantic-Density Approach to Improve Model Robustness SofiaCarreiradaConceicaoAlvesPereira.html LeonardoVanneschi.html
119. 1 deAraujoPessoa:2020:CEC Cartesian Genetic Programming Hyper-Heuristic with Parameter Configuration for Production Lot-Sizing LuisFilipedeAraujoPessoa.html BerndHellingrath.html FernandoBuarquedeLimaNeto.html
120. 11 PhaniAlekhya:2013:IJCTT Protecting E-Commerce Systems From Online Fraud PPhaniAlekhya.html SkMahaboobBasha.html
121. 5 ramlan:2026:EuroGP Extending Model Selection Criteria with Extrapolation and Sensitivity Penalties for Symbolic Regression FitriaWulandariRamlan.html ColmO'Riordan.html JamesMcDermott.html
122. 1 Saber:2020:CEC Hierarchical Grammar-Guided Genetic Programming Techniques for Scheduling in Heterogeneous Networks TakfarinasSaber.html DavidLynch.html DavidFagan.html StepanKucera.html HolgerClaussen.html MichaelO'Neill.html
123. 1 Saber:2020:CEC2 Evolving Better Rerouting Surrogate Travel Costs with Grammar-Guided Genetic Programming TakfarinasSaber.html ShenWang.html
124. 6 Sakallioglu:2026:evoapplications Combining Grammatical Evolution with LLM-based Local Search to Improve Interpretability BerfinSakallioglu.html FredericoJJBSantos.html DanielParraRodriguez.html YuxinQiu.html MiguelNicolau.html LeonardoTrujillo.html JoseIgnacioHidalgoPerez.html
125. 7 Saketos:2026:evoapplications Data-Driven Discovery of Interpretable Kalman Filter Variants through Large Language Models and Genetic Programming VasileiosSaketos.html SebastianKaltenbach.html SergeyLitvinov.html PetrosKoumoutsakos.html
126. 2 Scheepers:2026:GPEM A structure-based genetic programming generation constructive hyper-heuristic with transfer learning for combinatorial optimisation DariusScheepers.html NelishiaPillay.html
127. 2 Science09:Schmidt Distilling Free-Form Natural Laws from Experimental Data MichaelDSchmidt.html HodLipson.html
128. 2 Schneider.ev2000 Evolution of Biological Information ThomasDSchneider.html
129. 1 Schofield:2020:CEC Evolving Simpler Constructed Features for Clustering Problems with Genetic Programming FinnSchofield.html AndrewLensen.html
130. 5 silva:2026:EuroGP Revisiting SLIM: Improved Learning Dynamics and Model Compactness in Symbolic Regression GorkaSilva.html LachlanStewart.html IllyaBakurov.html MauroCastelli.html DavideFarinati.html JoseManuelMunozContreras.html LeonardoTrujillo.html LeonardoVanneschi.html
131. 3 Smith:2019:EuroGP A Model of External Memory for Navigation in Partially Observative Visual Reinforcement Learning Tasks RobertJSmith.html MalcolmHeywood.html
132. 22 book:1999:aigp3 Advances in Genetic Programming 3 LeeSpector.html WilliamBLangdon.html Una-MayO'Reilly.html PeterJohnAngeline.html
133. 5 stanovov:2026:EuroGP Comparison of Parent and Environmental Selection Schemes in Genetic Programming VladimirStanovov.html
134. 1 Tanev:2008:SICE Co-evolution of Sensing Morphology and Locomotion Control of Simulated Snakebot IvanTTanev.html KatsunoriShimohara.html
135. 3 Tao:2025:CSI Grammar-obeying program synthesis: A novel approach using large language models and many-objective genetic programming NingTao.html AnthonyVentresque.html VivekNallur.html TakfarinasSaber.html
136. 5 Tsai200911994 Intrusion detection by machine learning: A review Chih-FongTsai.html Yu-FengHsu.html Chia-YingLin.html Wei-YangLin.html
137. 6 vacher:2026:EuroGP Multi-Action Tangled Program Graphs for Multi-Task Reinforcement Learning with Continuous Control QuentinVacher.html NicolasBeuve.html MickaelDardaillon.html KarolDesnos.html
138. 1 Valdes:2020:CEC Radar-based Noncontact Human Activity Classification Using Genetic Programming JulioJValdes.html ZacharyBaird.html SreeramanRajan.html MiodragBolic.html
139. 1 Wang:2020:CEC A Multi-Objective Genetic Programming Hyper-Heuristic Approach to Uncertain Capacitated Arc Routing Problems ShaolinWang.html YiMei.html MengjieZhang.html
140. 1 Witten:2020:CEC Feasibility of Genetic Programming for the Optimization of Tissue-Type-Segmented Maps in the Generation of Synthetic CT in Radiation Therapy Treatment Planning MatthewWitten.html OwenClancey.html
141. 38 wu:2024:RS Genetic Programming Guided Mapping of Forest Canopy Height by Combining LiDAR Satellites with Sentinel-1/2, Terrain, and Climate Data ZhenjiangWu.html FengmeiYao.html JiahuaZhang.html EnhuaMa.html LipingYao.html ZhaoweiDong.html
142. 30 Yang:2015:EP Modeling the nexus between carbon dioxide emissions and economic growth GuangfeiYang.html TaoSun.html JianliangWang.html XiannengLi.html
143. 1 Zeng:2020:CEC Comparison of Different Computing Platforms for Implementing Parallel Genetic Programming RuihuaZeng.html ZhixingHuang.html YongliangChen.html JinghuiZhong.html LiangFeng.html
144. 5 zhang:2026:EuroGP Multi-tree Genetic Programming with Semantic Complementarity for Feature Construction in Symbolic Regression JiayuZhang.html QiChen.html BingXue.html MengjieZhang.html

New and modified entries