Changes to Genetic Programing Bibliography since 2026/02/12

New and modified entries

New

  1. Alghieth:thesis Gene expression programming for efficient time-series financial forecasting ManalAlghieth.html
  2. anthes:2026:EuroGP Syntactic Flexibility Enables Compact Solutions in Transformer Semantic GP PhilippAnthes.html
  3. Banzhaf:2026:book Recent Advances in Linear Genetic Programming WolfgangBanzhaf.html TingHu.html
  4. Banzhaf:2026:raLGP_introduction Introduction WolfgangBanzhaf.html TingHu.html
  5. Banzhaf:2026:raLGP Fundamentals of Linear Genetic Programming WolfgangBanzhaf.html TingHu.html
  6. Banzhaf:2026:raLGP_summary Summary and Conclusion WolfgangBanzhaf.html TingHu.html
  7. Bensoussan:2025:OOPSLA2 AccelerQ: Accelerating Quantum Eigensolvers with Machine Learning on Quantum Simulators AvnerBensoussan.html ElenaChachkarova.html KarineEven-Mendoza.html SophieFortz.html ConnorLenihan.html
  8. 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
  9. bhattacharaya:2026:EuroGP A Hybrid LLM-Coevolution Framework to Generate Abusive Tax Strategies JoySeraBhattacharya.html ErikHemberg.html Una-MayO'Reilly.html
  10. briesch:2026:EuroGP On the Effects of Down-Sampling for Tournament and Lexicase Selection in Program Synthesis MartinBriesch.html
  11. Dakhama:2025:ASE Enhancing Search-Based Testing with LLMs for Finding Bugs in System Simulators AidanDakhama.html KarineEven-Mendoza.html WilliamBLangdon.html HectorMenendez.html JustynaPetke.html
  12. 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
  13. 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
  14. farinati:2026:EuroGP NEVO-GSPT: Population-Based Neural Network Evolution Using Inflate and Deflate Operators DavideFarinati.html FredericoJJBSantos.html LeonardoVanneschi.html MauroCastelli.html
  15. 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
  16. fontbonne:tel-04137256 Individual and group learning dynamics in evolutionary collective robotics NicolasFontbonne.html
  17. AGeyer-Schulz2024-01 xegaSelectGene: Selection of Genes and Gene Representation Independent Functions AndreasGeyer-Schulz.html
  18. AGeyer-Schulz2024-02 xegaBNF: Compile a Backus-Naur Form Specification into an R Grammar Object AndreasGeyer-Schulz.html
  19. AGeyer-Schulz2024-03 xegaDerivationTrees: Generating and Manipulating Derivation Trees AndreasGeyer-Schulz.html
  20. AGeyer-Schulz2024-04 xegaGaGene: Binary Gene Operations for Genetic Algorithms AndreasGeyer-Schulz.html
  21. AGeyer-Schulz2024-05 xegaDfGene: Gene Operations for Real-Coded Genes AndreasGeyer-Schulz.html
  22. AGeyer-Schulz2024-06 xegaPermGene: Operations on Permutation Genes AndreasGeyer-Schulz.html
  23. AGeyer-Schulz2024-07 xegaGpGene: Genetic Operations for Grammar-Based Genetic Programming AndreasGeyer-Schulz.html
  24. AGeyer-Schulz2024-08 xegaGeGene: Grammatical Evolution AndreasGeyer-Schulz.html
  25. AGeyer-Schulz2024-09 xegaPopulation: Genetic Population Level Functions AndreasGeyer-Schulz.html
  26. AGeyer-Schulz2024-10 xega: Extended Evolutionary and Genetic Algorithms AndreasGeyer-Schulz.html
  27. AGeyer-Schulz2024 Meta-Genetic Algorithms with the xega R-Package AndreasGeyer-Schulz.html
  28. AGeyer-Schulz2025 xegaX. A Family of R-Packages for Genetic and Evolutionary Algorithms with Multiple Genome Representations AndreasGeyer-Schulz.html
  29. hrvatic:2026:EuroGP Semantic Search Trajectory Networks for Understanding Genetic Programming JosipHrvatic.html MagdaSmolic-Rocak.html MarkoDurasevic.html GabrielaOchoa.html
  30. huang2025bridgingfitnesssearchspaces Bridging Fitness With Search Spaces By Fitness Supremums: A Theoretical Study on LGP ZhixingHuang.html YiMei.html FangfangZhang.html MengjieZhang.html WolfgangBanzhaf.html
  31. Huang:2026:raLGP A Theoretical Study On Fitness Supremum in Linear Genetic Programming ZhixingHuang.html YiMei.html FangfangZhang.html MengjieZhang.html WolfgangBanzhaf.html
  32. kocherovsky:2026:EuroGP Node Preservation and its Effect on Crossover in Cartesian Genetic Programming MarkKocherovsky.html IllyaBakurov.html WolfgangBanzhaf.html
  33. kocherovsky:2026:EuroGP2 New Perspectives on Cartesian Genetic Programming: A Survey MarkKocherovsky.html HenningCui.html IllyaBakurov.html MichaelHeider.html RomanTobiasKalkreuth.html WolfgangBanzhaf.html
  34. 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
  35. Liu:2026:raLGP Evolution of Heuristics using Large Language Models FeiLiu.html ZhichaoLu.html ZhenkunWang.html QingfuZhang.html
  36. Liu:2025:researchsquare Semantic Valued Schema Theory of Genetic Programming in Symbolic Regression YilinLiu.html ZhengwenHuang.html
  37. Louloudakis:2026:ICSE_NIER A Selective Quantization Tuner for ONNX Models NikolaosLouloudakis.html AjithaRajan.html
  38. Manzoni:2026:GP EuroGP 2026: Proceedings of the 29th European Conference on Genetic Programming LucaManzoni.html SylvainCussat-Blanc.html QiChen.html
  39. Meng:2026:patcog Developing distance-based genetic programming classifiers by reconstructing datasets for imbalanced binary classification WenyangMeng.html YingLi2.html FanZhang.html Xiaoying_Sharon_Gao.html JianbinMa.html
  40. miranda:2026:EuroGP Sinking the Bloat in Genetic Programming Using Equality Saturation LucasMiranda.html EmiliodeCamargoFrancesquini.html FabricioOlivettideFranca.html MatheusCamposFernandes.html
  41. nadizar:2026:EuroGP Optimal Mixing in Graph-Based GP for Control: Genotypical Dependencies Are Hardly Captured GiorgiaNadizar.html GloriaPietropolli.html EricMedvet.html
  42. naqvi:2026:EuroGP Dynamic Vector and Matrix Memory for Tangled Program Graphs AliNaqvi.html StephenKelly.html
  43. Naqvi:2026:raLGP Path-Local Learning in Reward-Modulated Tangled Program Graphs AliNaqvi.html StephenKelly.html
  44. Nguyen:2026:GPEM Towards online genetic programming approach to dynamic flexible job shop scheduling SuNguyen.html BinhNganTran.html XuanNamNgo.html DuyThinhTran.html
  45. pereira:2026:EuroGP Extended Semantics Operator for Genetic Programming: A Semantic-Density Approach to Improve Model Robustness SofiaPereira.html LeonardoVanneschi.html
  46. Qiu:2026:raLGP Small Nimble LGP Populations for Shifting Streaming Classification Tasks ZiyuQiu.html MalcolmHeywood.html
  47. ramlan:2026:EuroGP Extending Model Selection Criteria with Extrapolation and Sensitivity Penalties for Symbolic Regression FitriaWulandariRamlan.html ColmO'Riordan.html JamesMcDermott.html
  48. Reuter:thesis Development of symbolic models using genetic programming and domain knowledge JuliaReuter.html
  49. SAIDANI_Islem Toward better understanding and supporting of Continuous Integration (CI) practices IslemSaidani.html
  50. 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
  51. Spector:2026:raLGP Linear Genetic Programming with Push LeeSpector.html ThomasHelmuth.html
  52. Squillero:2026:raLGP TinyLGP: A Minimalist Implementation of Linear Genetic Programming GiovanniSquillero.html AlbertoTonda.html RomanTobiasKalkreuth.html FabricioOlivettideFranca.html
  53. stanovov:2026:EuroGP Comparison of Parent and Environmental Selection Schemes in Genetic Programming VladimirStanovov.html
  54. Tanev:2026:AROB-ISBC Evolving the Models of Friction Coefficients of Automobile Tires via Genetic Programming IvanTTanev.html HiroshigeHasegawa.html ManakaTokiwai.html
  55. vacher:2026:EuroGP Multi-Action Tangled Program Graphs for Multi-Task Reinforcement Learning with Continuous Control QuentinVacher.html NicolasBeuve.html MickaelDardaillon.html KarolDesnos.html
  56. Yin:thesis Essays on Genetic Programming Applied to Financial Modelling ZhengYin.html
  57. zhang:2026:EuroGP Multi-tree Genetic Programming with Semantic Complementarity for Feature Construction in Symbolic Regression JiayuZhang.html QiChen.html BingXue.html MengjieZhang.html

Modified

  1. 1 almarimi2020community On the Detection of Community Smells using Genetic Programming-based Ensemble Classifier Chain NuriAlmarimi.html AliOuni.html MoatazChouchen.html IslemSaidani.html MohamedWiemMkaouer.html
  2. rimas:2024:CEC Feature Selection for GPSR Based on Maximal Information Coefficient and Shapley Values MohamadRimasMohamadAnfar.html QiChen.html MengjieZhang.html
  3. rimas:2024:AI Importance-Based Pruning for Genetic Programming Based Symbolic Regression MohamadRimasMohamadAnfar.html QiChen.html MengjieZhang.html
  4. 21 antonov:2024:GECCO A Functional Analysis Approach to Symbolic Regression KirillAntonov.html RomanTobiasKalkreuth.html KaifengYang.html ThomasBack.html NikivanStein.html AnnaVKononova.html
  5. 22 Aziz:2016:EuroGP Search-Based SQL Injection Attacks Testing using Genetic Programming BenjaminAziz.html MohamedBahyBader-El-Den.html CeranaHippolyte.html
  6. 4 Balicki:2006:IJCSNS Multicriterion Genetic Programming for Trajectory Planning of Underwater Vehicle JerzyBalicki.html
  7. 11 Benbassat:2013:CIG EvoMCTS: Enhancing MCTS-based players through genetic programming AmitBenbassat.html MosheSipper.html
  8. 1 Berutich:thesis Robust Optimization of Algorithmic Trading Systems JoseManuelBerutich.html
  9. 1 Bidlo:2013:CEC Evolution of Cellular Automata with Conditionally Matching Rules MichalBidlo.html ZdenekVasicek.html
  10. 1 bosamiya-thesis A Principled Approach Towards Unapologetic Security JayBosamiya.html
  11. 14 Cao:2024:ijfatigue Estimation and validation for fatigue properties of steels by symbolic regression WeiwenCao.html XingyueSun.html XuChen.html
  12. 10 Cattani:2010:cec ME-CGP: Multi Expression Cartesian Genetic Programming PhilipTCattani.html ColinGJohnson.html
  13. 5 Chaudhary:2009:INMIC Determination of optimum genetic parameters for symbolic non-linear regression-like problems in genetic programming UsmanKhurshidChaudhary.html MasoodIqbal.html
  14. 35 CUEVAS:2018:ESA A selection method for evolutionary algorithms based on the Golden Section ErikValdemarCuevasJimenez.html LuisEduardoEnriquezPerez.html DanielZaldivarNavarro.html MarcoAntonioPerezCisneros.html
  15. 4 Cullen:2009:GEC Evolving common LISP programs in a linear-genotype evolutionary computation system JamieCullen.html
  16. 2 Eelco-den-Heijer-Autonomous-Evolutionary-Art-2013 Autonomous Evolutionary Art EelcodenHeijer.html
  17. 1 Dong:ieeeTEC Evolving Equation Learner For Symbolic Regression JunlanDong.html JinghuiZhong.html Wei-LiLiu.html JunZhang.html
  18. 4 Dracopoulos:2013:HCSR Genetic programming as a solver to challenging reinforcement learning problems DimitrisCDracopoulos.html DimitriosEffraimidis.html BarryDNichols.html
  19. 24 Durasevic:2024:EA2 Designing Less Myopic Routing Policies with Genetic Programming for the Electric Vehicle Routing Problem MarkoDurasevic.html FranciscoJavierGilGala.html
  20. 8 Even-Mendoza:2025:ASE_NIER LLM-Guided Genetic Improvement: Envisioning Semantic Aware Automated Software Evolution KarineEven-Mendoza.html AlexanderEIBrownlee.html AlinaGeiger.html CarolHanna.html JustynaPetke.html FedericaSarro.html DominikSobania.html
  21. 17 FAYOLLE:2024:cad A Survey of Methods for Converting Unstructured Data to CSG Models Pierre-AlainFayolle.html MarkusFriedrich.html
  22. 2 Fitzgerald:2014:cicsyn Selection Bias and Generalisation Error in Genetic Programming JeannieFitzgerald.html ConorRyan.html
  23. 1 Gaaloul:thesis Verification of Design Models of Cyber-Physical Systems Specified in Simulink KhouloudGaaloul.html
  24. 1 Gilbert:thesis Applications of Group Theory to Representation for Computational Intelligence JeremyGilbert.html
  25. 25 Go:2022:HNICEM Ubiquitous Limited Sensor-based Weather Binary Prediction Network Using Linear and Nonlinear Fittings and 14-gene Genetic Expression TyroneAshleyGo.html JoseAntonioCadavillo.html JoyceYuenlamCai.html DmitriChuacuco.html JonahJaharaGarciaBaun.html ArgelABandala.html RonnieSConcepcionII.html
  26. 4 goldman:2013:EuroGP Reducing Wasted Evaluations in Cartesian Genetic Programming BrianWGoldman.html WilliamFPunch.html
  27. 1 grosan-stock Stock Market Prediction Using Multi Expression Programming CrinaGrosan.html AjithAbraham.html VitorinoJCasteloRamos.html SangYongHan.html
  28. 4 Guadalupe-Hernandez:2021:GPTP An Exploration of Exploration: Measuring the Ability of Lexicase Selection to Find Obscure Pathways to Optimality JoseGuadalupeHernandez.html AlexanderLalejini.html CharlesOfria.html
  29. 9 Harvey:thesis Automated Feature Design for Time Series Classification by Genetic Programming DustinYHarvey.html
  30. 1 HU:2023:powtec Development of drag force model for predicting the flow behavior of porous media based on genetic programming MingjianHu.html YinWang.html YeweiLi.html ZiyiPang.html YubinRen.html
  31. 2 Ishino:2002:AEI Estimate design intent: a multiple genetic programming and multivariate analysis based approach YokoIshino.html YanJin.html
  32. 1 Kelly:GPEM Evolving hierarchical memory-prediction machines in multi-task reinforcement learning StephenKelly.html TatianaVoegerl.html WolfgangBanzhaf.html CedricGondro.html
  33. 1 Khan:2022:Materials Predicting the Ultimate Axial Capacity of Uniaxially Loaded CFST Columns Using Multiphysics Artificial Intelligence SangeenKhan.html MohsinAliKhan.html AdeelZafar.html MuhammadFaisalJaved.html FahidAslam.html MuhammadAliMusarat.html NikolaiIvanovichVatin.html
  34. 17 Koc:2015:CILS A genetic programming-based QSPR model for predicting solubility parameters of polymers DilekImrenKoc.html MehmetLeventKoc.html
  35. 1 Kofod-petersen:masters Adaptive Behaviour Based Robotics using On-Board Genetic Programming AndersKofod-Petersen.html
  36. 2 langdon:2024:ASE Deep Imperative Mutations have Less Impact WilliamBLangdon.html DavidClark.html
  37. 10 Langdon:2026:raLGP Long Term Evolution Experiments with Linear Genetic Programming WilliamBLangdon.html
  38. 21 Li:2025:cnsns An evolutionary approach for discovering non-Gaussian stochastic dynamical systems based on nonlocal Kramers-Moyal formulas YangLi2.html ShengyuanXu.html JinqiaoDuan.html
  39. 29 Liu:2023:ICTIS Optimization of ship command and dispatch in the waters between the three gorges dams based on GP algorithm QingLiu.html ZhuofengTang.html ZheCong.html LeiWang2.html
  40. 2 Luke2009Metaheuristics Essentials of Metaheuristics SeanLuke.html
  41. 1 MA:2023:swevo Multi-generation multi-criteria feature construction using Genetic Programming JianbinMa.html Xiaoying_Sharon_Gao.html YingLi2.html
  42. 16 majeed:gecco05ws A New Approach to Evaluate GP Schema in Context HammadMajeed.html
  43. 3 reference/ai/ManriqueRR09 Grammar-Guided Genetic Programming DanielManriqueGamo.html JuanRiosCarrion.html AlfonsoRodriguez-PatonAradas.html
  44. 1 MENG:2024:asoc Ensemble classifiers using multi-objective Genetic Programming for unbalanced data WenyangMeng.html YingLi2.html Xiaoying_Sharon_Gao.html JianbinMa.html
  45. 1 KumarBentley2003 Evolving the program for a cell: from French flags to Boolean circuits JulianFMiller.html WolfgangBanzhaf.html
  46. 1 Niekum:2010:ieeeTAMD Genetic Programming for Reward Function Search ScottNiekum.html AndrewGBarto.html LeeSpector.html
  47. 8 Oduguwa:2005:ASC Evolutionary computing in manufacturing industry: an overview of recent applications VictorOduguwa.html AshutoshTiwari.html RajkumarRoy.html
  48. 8 ozdemir:2022:AJSE A New Predictive Model for Uniaxial Compressive Strength of Rock Using Machine Learning Method: Artificial Intelligence-Based Age-Layered Population Structure Genetic Programming (ALPS-GP) EnginOzdemir.html
  49. 21 Pacioni:2025:evoapplications FedGP: Genetic Programming for Evolutionary Aggregation in Federated Learning with Non-IID Data EliaPacioni.html FranciscoFernandezdeVega.html DavideCalvaresi.html
  50. 12 DBLP:conf/eurocast/ParraJGVGCH22 Obtaining Difference Equations for Glucose Prediction by Structured Grammatical Evolution and Sparse Identification DanielParraRodriguez.html DavidJoedicke.html AlbertoGutierrez.html JoseManuelVelascoCabo.html OscarGarnica.html JManuelColmenar.html JoseIgnacioHidalgoPerez.html
  51. 1 peng:2022:EuroRadiology Automatic machine learning based on native T1 mapping can identify myocardial fibrosis in patients with hypertrophic cardiomyopathy Wan-LinPeng.html Tian-JingZhang.html KeShi.html Hai-XiaLi.html YingLi3.html SenHe.html ChenLi.html DongXia.html Chun-ChaoXia.html Zhen-LinLi.html
  52. 2 Peng:2021:BMCGenomics GEP-EpiSeeker: a gene expression programming-based method for epistatic interaction detection in genome-wide association studies Yu-zhongPeng.html YanmeiLin.html YiranHuang.html YingLi4.html GuangshengLuo.html JianpingLiao.html
  53. Pichardo:2020:SIMMAC Genetic programming to obtain mathematical models from turbine data using symbolic regression RomeroPichardo.html ErickJacob.html
  54. 23 Piszcz:2007:lobo Genetic Programming: Parametric Analysis of Structure Altering Mutation Techniques AlanPiszcz.html TerenceSoule.html
  55. 1 ramlan:2023:LOD Genetic Programming with Synthetic Data for Interpretable Regression Modelling and Limited Data FitriaWulandariRamlan.html JamesMcDermott.html
  56. 1 ramlan:2025:GECCOcomp Can Synthetic Data Improve Symbolic Regression Extrapolation Performance? FitriaWulandariRamlan.html ColmO'Riordan.html GabrielKronberger.html JamesMcDermott.html
  57. 1 real2019regularized Regularized Evolution for Image Classifier Architecture Search EstebanReal.html AlokAggarwal.html YanpingHuang.html QuocVLe.html
  58. 3 reissmann:2025:GPEM Constraining genetic symbolic regression via semantic backpropagation MaximilianReissmann.html YuanFang.html AndrewSHOoi.html RichardDSandberg.html
  59. 6 song:2024:PPSN Symbol Graph Genetic Programming for Symbolic Regression JingluSong.html QiangLu.html BozhouTian.html JingwenZhang.html JakeLuo.html ZhiguangWang.html
  60. 17 Soni:2017:RTEICT Inventory forecasting model using genetic programming and Holt-Winter's exponential smoothing method RSSoni.html DasariSrikanth.html
  61. 1 Tanev:2003:ECAL Effects of Learning to Interact on the Evolution of Social Behavior of Agents in Continuous Predators-prey Pursuit Problem IvanTTanev.html KatsunoriShimohara.html
  62. 1 vacher:2025:GECCO MAPLE: Multi-Action Programs through Linear Evolution for Continuous Multi-Action Reinforcement Learning QuentinVacher.html StephenKelly.html AliNaqvi.html NicolasBeuve.html TanyaDjavaherpour.html MickaelDardaillon.html KarolDesnos.html
  63. voss:gecco03lbp Social Programming on MARS: A Benchmark Study MarkSethVoss.html
  64. 5 Wang:2023:TVT Channel Prediction Using Ordinary Differential Equations for MIMO systems LeiWang2.html GuanzhangLiu.html JiangXue.html Kat-KitWong.html
  65. 1 Wang:2022:ICCT Channel Prediction Using a System of Ordinary Differential Equation LeiWang2.html GuanzhangLiu.html JiangXue.html
  66. 1 YUAN:2024:ces Design and optimization of compound distillation sequences comprising simple distillation and dividing-wall columns using genetic programming YangYuan.html LinlinZhang.html GadePanduRangaiah.html GuochaoWang.html XingQian.html SamavedhamLakshminarayanan.html
  67. 1 Zaherpour:thesis Improving global and catchment estimates of runoff through computationally-intelligent ensemble approaches Applications of intelligent multi-model combination, cross-scale model comparisons, ensemble analyses, and new model parameterisations JamalZaherpour.html
  68. 1 Zhang:2026:ieeeTEC2 Enhancing Generalization in Evolutionary Feature Construction for Symbolic Regression Through Vicinal Jensen Gap Minimization HengzheZhang.html QiChen.html BingXue.html WolfgangBanzhaf.html MengjieZhang.html

New and modified entries