Changes to Genetic Programing Bibliography since 2026/04/02

New and modified entries

New

  1. AbdusSalam:2026:RSTA Symbolic regression and differentiable fits in beyond the standard model physics ShehuAbdusSalam.html StevenAbel.html DeaglanJBartlett.html MiguelCrispimRomao.html
  2. Bartlett:2026:RSTAintro Introduction to the Special issue on symbolic regression in the physical sciences DeaglanJBartlett.html HarryDesmond.html PedroGFerreira.html GabrielKronberger.html
  3. Desmond:2026:RSTA (Exhaustive) symbolic regression and model selection by minimum description length HarryDesmond.html
  4. Bartlett:2026:RSTA Symbolic emulators for cosmology: accelerating cosmological analyses without sacrificing precision DeaglanJBartlett.html ShivamPandey.html
  5. batista2024-evolving-robust-and-readable-land Evolving robust and readable land cover models for improved forest monitoring JoaoEBatista.html
  6. Batista:2026:evoapplications EvoTADASHI: Genetic Programming for High-Performance Code Optimization JoaoEBatista.html EmilVatai.html AleksandrDrozd.html MohamedWahib.html
  7. Bomarito:2026:RSTA Bayesian symbolic regression via posterior sampling GeoffreyFBomarito.html PatrickELeser.html
  8. brookes2025evolvingexcellenceautomatedoptimization Evolving Excellence: Automated Optimization of LLM-based Agents PaulBrookes.html VardanVoskanyan.html RafailGiavrimis.html MatthewTruscott.html MinaIlieva.html ChrystallaPavlou.html AlexandruStaicu.html ManalAdham.html WillEvers-Hood.html JingzhiGong.html KejiaZhang.html MatveyFedoseev.html VishalSharma.html RomanBauer.html ZhengWang.html HemaNair.html WeiJie.html TianhuaXu.html AuroraConstantin.html LeslieKanthan.html MichailBasios.html
  9. Burlacu:2026:RSTA Zobrist hash-based duplicate detection in symbolic regression BogdanBurlacu.html
  10. Chopard:2026:IMHoptGP Genetic Programming BastienChopard.html MarcoTomassini.html
  11. Constantin:2026:RSTA Statistical patterns in the equations of physics and the emergence of a meta-law of nature AndreiConstantin.html PedroGFerreira.html HarryDesmond.html DeaglanJBartlett.html
  12. deFranca:2026:RSTA Equality graph-assisted symbolic regression FabricioOlivettideFranca.html GabrielKronberger.html
  13. Imai-Aldeia:2026:RSTA Towards symbolic regression for interpretable clinical decision scores GuilhermeSeidyoImaiAldeia.html JosephDRomano.html FabricioOlivettideFranca.html DanielSHerman.html WilliamLaCava.html
  14. Kabliman:2026:RSTA Identification of empirical constitutive models for age-hardenable aluminium alloy and high-chromium martensitic steel using symbolic regression EvgeniyaKabliman.html GabrielKronberger.html
  15. kamalov:tel-04042245 Scalable algorithms for graph-based semi-supervised learning with embedding MikhailKamalov.html
  16. Lall:2026:evoapplications Genetic Programming for Energy-Efficient Device-Edge Collaborative Inference ShrutiLall.html NelishiaPillay.html
  17. Liu:2026:evoapplications Adaptive Curriculum Learning in Genetic Programming-Guided Local Search for Large-Scale Vehicle Routing Problems SainingLiu.html YiMei.html MengjieZhang.html
  18. Martin:2026:RSTA Constraining dark matter halo profiles with symbolic regression AliciaMartin.html TariqYasin.html DeaglanJBartlett.html HarryDesmond.html PedroGFerreira.html
  19. morales-paredes:mastersthesis Automated design of specialized variation operators using a generation hyper heuristic for the multi objective quadratic assignment problem AdrianIsaiMorales-Paredes.html
  20. Naqvi:2026:evostarLBA Evolving Register Count in Linear Genetic Programming AliNaqvi.html ReuvenDukas.html StephenKelly.html
  21. Pacioni:2026:evoapplications FedGP Resilience: A Comparative Study with Standard Federated Aggregation Methods under Adversarial Scenarios EliaPacioni.html CelienMuller.html FranciscoFernandezdeVega.html DavideCalvaresi.html
  22. 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
  23. Russeil:2026:RSTA Exploring multi-view symbolic regression methods in physical sciences EtienneRusseil.html FabricioOlivettideFranca.html GuillaumeMoinard.html KonstantinMalanchev.html MaximeCherrey.html
  24. 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
  25. 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
  26. Zhu:2026:evostarLBA Surrogate-assisted Lifelong Learning of Scheduling Rules with Genetic Programming for Dynamic Flexible Job Shop Scheduling LuyaoZhu.html FangfangZhang.html YiMei.html MengjieZhang.html

Modified

  1. 2 Outstanding:2026:sigevolution Prof. Mengjie Zhang
  2. 6 anthes:2026:EuroGP Syntactic Flexibility Enables Compact Solutions in Transformer Semantic GP PhilippAnthes.html
  3. 3 Arcuri:2008:ICSEphd On the automation of fixing software bugs AndreaArcuri.html
  4. 17 Arcuri:2008:cec A Novel Co-Evolutionary Approach to Automatic Software Bug Fixing AndreaArcuri.html XinYao.html
  5. 1 Azari:thesis Evolutionary Algorithms for Improving De Novo Peptide Sequencing SamanehAzari.html
  6. 7 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
  7. 1 Bermejo:2025:exsy Interpretable Machine Learning for Age-at-Death Estimation From the Pubic Symphysis EnriqueBermejoNievas.html AntonioDavidVillegasYeguas.html JavierIruritaOlivares.html SergioDamasArroyo.html OscarCordon.html
  8. 7 bhattacharaya:2026:EuroGP A Hybrid LLM-Coevolution Framework to Generate Abusive Tax Strategies JoySeraBhattacharya.html ErikHemberg.html Una-MayO'Reilly.html
  9. 6 briesch:2026:EuroGP On the Effects of Down-Sampling for Tournament and Lexicase Selection in Program Synthesis MartinBriesch.html
  10. 11 butler:1995:eddie EDDIE Beats the Bookies JamesMButler.html EdwardPKTsang.html
  11. 1 Cranmer_princeton_0181D_14439 Interpretable Machine Learning for the Physical Sciences MilesCranmer.html
  12. 1 Cross-AI-2018-PhD-Thesis Reconfigurable computing for advanced trading strategies AndreeaIngridCross.html
  13. 6 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. 1 Dempster:2006:ESA An automated FX trading system using adaptive reinforcement learning MichaelDempster.html VascoLeemans.html
  15. 22 Do:2024:finmec Machine learning approach for predicting early-age thermal cracking potential in concrete bridge piers TuAnhDo.html Ba-AnhLe.html
  16. 3 Elsey:thesis Dynamic Modelling, Measurement and Control of Co-rotating Twin-Screw Extruders JustinElsey.html
  17. 6 farinati:2026:EuroGP NEVO-GSPT: Population-Based Neural Network Evolution Using Inflate and Deflate Operators DavideFarinati.html FredericoJJBSantos.html LeonardoVanneschi.html MauroCastelli.html
  18. 8 oai:CiteSeerX.psu:10.1.1.453.2194 An Embodied Evolutionary System to Control a Population of Mobile Robots using Genetic Programming AndersonLuizFernandesPerez.html GuilhermeBittencourt.html MauroRoisenberg.html
  19. 3 Fredericks:2026:GI Databending as a Target for Genetic Improvement ErikMFredericks.html ByronDeVries.html ReihanehHariri.html
  20. 1 Giri:2013:MMP Genetic Programming Evolved through Bi-Objective Genetic Algorithms Applied to a Blast Furnace BrijeshKumarGiri.html FrankPettersson.html HenrikSaxen.html NirupamChakraborti.html
  21. 2 Helmuth:2026:sigevolution The 2025 ACM GECCO Impact Award: General Program Synthesis Benchmark Suite ThomasHelmuth.html LeeSpector.html
  22. 7 hrvatic:2026:EuroGP Semantic Search Trajectory Networks for Understanding Genetic Programming JosipHrvatic.html MagdaSmolic-Rocak.html MarkoDurasevic.html GabrielaOchoa.html
  23. 7 DBLP:journals/corr/abs-2505-21901 Symbolically Regressing Fish Biomass Spectral Data: A Linear Genetic Programming Method with Tunable Primitives ZhixingHuang.html BingXue.html MengjieZhang.html JeremyRooney.html KeithCGordon.html DanielPKilleen.html
  24. Aldeia:2018:CEC Lightweight Symbolic Regression with the Interaction-Transformation Representation GuilhermeSeidyoImaiAldeia.html FabricioOlivettideFranca.html
  25. Aldeia:2020:CEC A Parametric Study of Interaction-Transformation Evolutionary Algorithm for Symbolic Regression GuilhermeSeidyoImaiAldeia.html FabricioOlivettideFranca.html
  26. Aldeia:2021:GECCO Measuring Feature Importance of Symbolic Regression Models Using Partial Effects GuilhermeSeidyoImaiAldeia.html FabricioOlivettideFranca.html
  27. aldeia:2022:SymReg Interaction-Transformation Evolutionary Algorithm with coefficients optimization GuilhermeSeidyoImaiAldeia.html FabricioOlivettideFranca.html
  28. Aldeia:2022:GPEM Interpretability in symbolic regression: a benchmark of explanatory methods using the Feynman data set GuilhermeSeidyoImaiAldeia.html FabricioOlivettideFranca.html
  29. Aldeia:2025:SymReg Call for Action: towards the next generation of symbolic regression benchmark GuilhermeSeidyoImaiAldeia.html HengzheZhang.html GeoffreyFBomarito.html MilesCranmer.html AlcidesFonseca.html BogdanBurlacu.html WilliamLaCava.html FabricioOlivettideFranca.html
  30. Aldeia:thesis Current Challenges of Symbolic Regression: Optimization, Selection, Model Simplification, and Benchmarking GuilhermeSeidyoImaiAldeia.html
  31. 3 jadhwani:2026:GI Applying Genetic Improvement Techniques for Automated Program Repair of Transpiled Code PrashamJadhwani.html CarolHanna.html WilliamBLangdon.html JustynaPetke.html
  32. 8 Kamalov:2021:EUSIPCO PaZoe: classifying time series with few labels MikhailKamalov.html AurelieBoisbunon.html CarloFanara.html IngridGrenet.html JonathanDaeden.html
  33. 7 kocherovsky:2026:EuroGP Node Preservation and its Effect on Crossover in Cartesian Genetic Programming MarkKocherovsky.html IllyaBakurov.html WolfgangBanzhaf.html
  34. 6 kocherovsky:2026:EuroGP2 New Perspectives on Cartesian Genetic Programming: A Survey MarkKocherovsky.html HenningCui.html IllyaBakurov.html MichaelHeider.html RomanTobiasKalkreuth.html WolfgangBanzhaf.html
  35. 2 kopitsa:2025:BDCC Predicting the Damage of Urban Fires with Grammatical Evolution ConstantinaKopitsa.html IoannisGTsoulos.html AndreasMiltiadous.html VasileiosCharilogis.html
  36. 1 koza:gp2 Genetic Programming II: Automatic Discovery of Reusable Programs JohnKoza.html
  37. 3 langdon:2026:GI Improving a Parallel C++ Intel SSE SIMD Linear Genetic Programming Interpreter WilliamBLangdon.html CarolHanna.html
  38. 1 Langdon:2026:raLGP Long Term Evolution Experiments with Linear Genetic Programming WilliamBLangdon.html
  39. 6 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
  40. 3 lee:2026:GI GI-Agent Search-Based LLM Agent for Code Optimization with Genetic Improvement DonghyunLee.html WilliamBLangdon.html JustynaPetke.html
  41. 1 LeGoues:2025:TSE The Evolution of Automated Software Repair ClaireLeGoues.html ThanhVuNguyen.html StephanieForrest.html WestleyWeimer.html
  42. 2 Li:2025:inffus MMSR: Symbolic regression is a multi-modal information fusion task YanjieLi.html JingyiLiu.html MinWu.html LinaYu.html WeijunLi.html XinNing.html WenqiangLi.html MeilanHao.html YusongDeng.html ShuWei.html
  43. 28 Li:2025:jmsy Manufacturing resource-based self-organizing scheduling using multi-agent system and deep reinforcement learning YuxinLi.html QihaoLiu.html XinyuLi.html LiangGao.html
  44. 6 Lopez-Herrejon:2015:gi Genetic Improvement for Software Product Lines: An Overview and a Roadmap RobertoELopez-Herrejon.html LukasLinsbauer.html WesleyKlewertonGuezAssuncao.html StefanFischer.html SilviaReginaVergilio.html AlexanderEgyed.html
  45. 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
  46. 6 Manzoni:2026:GP EuroGP 2026: Proceedings of the 29th European Conference on Genetic Programming LucaManzoni.html SylvainCussat-Blanc.html QiChen.html
  47. 22 masood:2025:GECCOcomp Model-Adaptive Reference Points Generation based on Gaussian Process for Many-Objective Optimization AtiyaMasood.html
  48. 12 miller:2000:peddg1 Principles in the Evolutionary Design of Digital Circuits-Part I JulianFMiller.html DominicJob.html VesselinKVassilev.html
  49. 6 miranda:2026:EuroGP Sinking the Bloat in Genetic Programming Using Equality Saturation LucasMiranda.html EmiliodeCamargoFrancesquini.html FabricioOlivettideFranca.html MatheusCamposFernandes.html
  50. 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
  51. 6 nadizar:2026:EuroGP Optimal Mixing in Graph-Based GP for Control: Genotypical Dependencies Are Hardly Captured GiorgiaNadizar.html GloriaPietropolli.html EricMedvet.html
  52. 7 naqvi:2026:EuroGP Dynamic Vector and Matrix Memory for Tangled Program Graphs AliNaqvi.html StephenKelly.html
  53. 13 Nedjah:2005:Informatica Multi-Objective CMOS-Targeted Evolutionary Hardware for Combinational Digital Circuits NadiaNedjah.html LuizadeMacedoMourelle.html
  54. 2 nordin:humanoider Humanoider: Sjavlarande robotar och artificiell intelligens PeterNordin.html JohannaWilde.html
  55. 3 Ochoa:1998:PPSN On genetic algorithms and Lindenmayer systems GabrielaOchoa.html
  56. 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
  57. 2 ondas:2005:WSC Genetic Programming, Probabilistic Incremental Program Evolution, and Scalability RadovanOndas.html MartinPelikan.html KumaraSastry.html
  58. 6 pereira:2026:EuroGP Extended Semantics Operator for Genetic Programming: A Semantic-Density Approach to Improve Model Robustness SofiaCarreiradaConceicaoAlvesPereira.html LeonardoVanneschi.html
  59. 7 ramlan:2026:EuroGP Extending Model Selection Criteria with Extrapolation and Sensitivity Penalties for Symbolic Regression FitriaWulandariRamlan.html ColmO'Riordan.html JamesMcDermott.html
  60. 2 Reuter:2024:PPSN Unit-Aware Genetic Programming for the Development of Empirical Equations JuliaReuter.html ViktorMartinek.html RolandHerzog.html SanazMostaghim.html
  61. 1 Reuter:thesis Development of symbolic models using genetic programming and domain knowledge JuliaReuter.html
  62. 21 Salem:2015:ICENCO Gene expression profiles based Human cancer diseases classification HanaaSalem.html GamalMahrousAliAttiya.html NawalAhmedEl-Fishawy.html
  63. 33 Salem:2017:ASC Classification of human cancer diseases by gene expression profiles HanaaSalem.html GamalMahrousAliAttiya.html NawalAhmedEl-Fishawy.html
  64. 3 Samie:thesis Bio-inspired prokaryotic array for fault-tolerant electronic systems MohammadSamie.html
  65. 1 schulte10:_autom_progr_repair_evolut_assem_code Automated Program Repair through the Evolution of Assembly Code EricSchulte.html StephanieForrest.html WestleyWeimer.html
  66. 1 schulte2014dissertation Neutral Networks of Real-World Programs and their Application to Automated Software Evolution EricSchulte.html
  67. 1 Silva:2011:GECCOcomp Handling bloat in GP SaraSilva.html
  68. 6 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
  69. 8 stanovov:2026:EuroGP Comparison of Parent and Environmental Selection Schemes in Genetic Programming VladimirStanovov.html
  70. 14 Tamboli:2011:CSNT A Generic Structure of Object Classification Using Genetic Programming ArifaSTamboli.html MedhaAbhijeetShah.html
  71. 2 Tsoi:2025:CS4BS SymbolFit: Automatic Parametric Modeling with Symbolic Regression HoFungTsoi.html DylanRankin.html CecileCaillol.html MilesCranmer.html SridharaDasu.html JavierDuarte.html PhilipHarris.html ElliotLipeles.html VladimirLoncar.html
  72. 7 vacher:2026:EuroGP Multi-Action Tangled Program Graphs for Multi-Task Reinforcement Learning with Continuous Control QuentinVacher.html NicolasBeuve.html MickaelDardaillon.html KarolDesnos.html
  73. 1 Vassilev:thesis Fitness landscapes and search in the evolutionary design of digital circuits VesselinKVassilev.html
  74. 10 Vijaya-Chandran:2022:ISSE Reduced Order Modeling of a Heat Exchanger with a Stacking Ensemble to reduce Computational Inefficiencies VinayakVijayaChandran.html RoopaAdepu.html
  75. 2 voss:gecco03lbp Social Programming on MARS A Benchmark Study MarkSethVoss.html
  76. 5 Yong_Wang:TETCI Niching Genetic Programming With Elite Archive for Multi-Objective Dynamic Scheduling YongWang.html JieZhang3.html FangfangZhang.html Gai-GeWang.html MengjieZhang.html
  77. 1 Weimer:2009:ICES Automatically Finding Patches Using Genetic Programming WestleyWeimer.html ThanhVuNguyen.html ClaireLeGoues.html StephanieForrest.html
  78. 9 W2007GOEB Global Optimization Algorithms -- Theory Application ThomasWeise.html
  79. 19 wen:2024:GECCO Sign Change Detection based Fitness Evaluation for Automatic Implicit Equation Discovery JiahaoWen.html JunlanDong.html JinghuiZhong.html
  80. 3 Wu20081347 Direct transformation of coordinates for GPS positioning using the techniques of genetic programming and symbolic regression Chih-HungWu.html Hung-JuChou.html Wei-HanSu.html
  81. 14 xu:2025:GECCOcomp2 Transformer-Guided Genetic Programming for Symbolic Regression ChaoXu.html JunlanDong.html YanqiaoLv.html JinghuiZhong.html
  82. 6 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