Changes to Genetic Programing Bibliography since 2025/02/13

New and modified entries

New

  1. Muhammad_Sarmad_Ali:thesis Automatic Production Selection in Grammatical Evolution MuhammadSarmadAli.html
  2. baum:2000:NeurComp Evolution of Cooperative Problem Solving in an Artificial Economy EricBBaum.html IgorBDurdanovic.html
  3. benouhiba:2021:FI A Multi-level Refinement Approach for Structural Synthesis of Optimal Probabilistic Models ToufikBenouhiba.html
  4. bladek:thesis Machine Learning and Formal Verification for Acquisition of Knowledge in Heuristic Program Synthesis IwoBladek.html
  5. DBLP:conf/pricai/ChenMZZ24 Neural Network Surrogate based on Binary Classification for Assisting Genetic Programming in Searching Scheduling Heuristic RuiqiChen.html YiMei.html FangfangZhang.html MengjieZhang.html
  6. cilliers:thesis Maintaining population diversity in evolutionary algorithms via epigenetics and speciation MichaelCilliers.html
  7. Crochepierre:thesis Apprentissage automatique interactif pour les operateurs du reseau electrique LaureCrochepierre.html
  8. csuvik:2025:TSE GenProgJS: a Baseline System for Test-based Automated Repair of JavaScript Programs ViktorCsuvik.html DanielHorvath.html MarkLajko.html LaszloVidacs.html
  9. ekblad:2021:WR Toward Data-Driven Generation and Evaluation of Model Structure for Integrated Representations of Human Behavior in Water Resources Systems LiamEkblad.html JonathanDHerman.html
  10. QinglanFan:thesis Improving Genetic Programming for Image Classification QinglanFan.html
  11. Garbrecht:thesis A physics-informed machine learning framework for constitutive model development KarlMichaelGarbrecht.html
  12. ghazouani:habilitation Image Analysis and Understanding: Application to texture classification, facial expression recognition and breast cancer diagnosis HaythemGhazouani.html
  13. Haddadi:thesis Investigating a behaviour analysis-based early warning system to identify botnets using machine learning algorithms FaribaHaddadi.html
  14. Huang:ieeeTEC3 Fitness Landscape Optimization Makes Stochastic Symbolic Search By Genetic Programming Easier ZhixingHuang.html YiMei.html FangfangZhang.html MengjieZhang.html WolfgangBanzhaf.html
  15. keren:2023:SciRep A computational framework for physics-informed symbolic regression with straightforward integration of domain knowledge LironSimonKeren.html AlexLiberzon.html TeddyLazebnik.html
  16. kinneer:2021:ACMtAAS Information Reuse and Stochastic Search: Managing Uncertainty in Self-* Systems CodyKinneer.html DavidGarlan.html ClaireLeGoues.html
  17. kodytek:2024:pone Automated code development based on genetic programming in graphical programming language: A pilot study PavelKodytek.html AlexandraBodzas.html JanZidek.html
  18. Landaeta:US11972842B2 Automated feature extraction using genetic programming DavidJamesLandaeta.html
  19. maurya:2025:ExSy Medical Data Classification Using Genetic Programming: A Systematic Literature Review PratibhaMaurya.html AratiKushwaha.html OmPrakash2.html
  20. miu:2015:CHTMD Combine Harvesters: Theory, Modeling, and Design PetreMiu.html
  21. pappa:2025:GPEM Editorial introduction for the special issue on highlights of genetic programming 2023 events GiseleLPappa.html MarioGiacobini.html TingHu.html DomagojJakobovic.html
  22. parada2025automatic Automatic Generation Of Algorithms VictorParada.html
  23. porter:2025:CACM Self-Designing Software BarryPorter.html PenelopeFaulknerRainford.html RobertoRodriguesFilho.html
  24. reissmann:2025:GPEM Constraining genetic symbolic regression via semantic backpropagation MaximilianReissmann.html YuanFang.html AndrewSHOoi.html RichardDSandberg.html
  25. Ritter:thesis Inferring and Analyzing Microarchitectural Performance Models FabianRitter.html
  26. Lijun_Sun:thesis Multi-agent Coordination Algorithms for Pursuit-Evasion LijunSun.html
  27. Velasquez-Mora:2024:REINCISOL Modern Control Systems for industrial processes: State of the art for cases of traffic congestion, through resolution of genetic and control algorithms JonathanGeovannyVelasquezMora.html CarlosPatricioArroyoVilela.html
  28. valeri:2023:cels BioAutoMATED: An end-to-end automated machine learning tool for explanation and design of biological sequences JacquelineAValeri.html LuisRSoenksen.html KatherineMCollins.html PradeepRamesh.html GeorgeCai.html RaniPowers.html NicolaasMAngenent-Mari.html DiogoMCamacho.html FelixWong.html TimothyKLu.html JamesJCollins.html
  29. Zhang:2025:TAI Multiobjective Dynamic Flexible Job Shop Scheduling With Biased Objectives via Multitask Genetic Programming FangfangZhang.html GaofengShi.html YiMei.html MengjieZhang.html

Modified

  1. 16 al-afandi:2021:Algorithms Adaptive Gene Level Mutation JalalAl-Afandi.html AndrasHorvath.html
  2. 27 Ali:2022:ICAIoT Optimization of the Number and Placement of Routers in Wireless Mesh Networks MohammedSadeqAliAli.html MesutCevik.html
  3. 7 Bakurov:2024:GPTP Sharpness-Aware Minimization in Genetic Programming IllyaBakurov.html NathanielHaut.html WolfgangBanzhaf.html
  4. 6 Benchaji:2018:CSNet Using Genetic Algorithm to Improve Classification of Imbalanced Datasets for Credit Card Fraud Detection IbtissamBenchaji.html SamiraDouzi.html BouabidElOuahidi.html
  5. 1 Blot_magpie:2025:GI Automated Software Performance Improvement with Magpie AymericBlot.html
  6. 17 B2005OLGP On Linear Genetic Programming MarkusBrameier.html
  7. 8 Burlacu:2024:GPTP Revisiting Gradient-Based Local Search in Symbolic Regression BogdanBurlacu.html StephanMWinkler.html MichaelAffenzeller.html
  8. 2 buxton:2001:MC Data Fusion by Intelligent Classifier Combination BernardBuxton.html WilliamBLangdon.html SJBarrett.html
  9. 1 Christodoulaki:thesis Fundamental, Sentiment and Technical analysis for Algorithmic Trading using Novel Genetic Programming algorithms EvaChristodoulaki.html
  10. 7 Crary:2024:GPTP It's Time to Revisit the Use of FPGAs for Genetic Programming ChristopherCCrary.html GregStitt.html BogdanBurlacu.html WolfgangBanzhaf.html
  11. 20 Cui:2023:FOGA Weighted Mutation of Connections To Mitigate Search Space Limitations in Cartesian Genetic Programming HenningCui.html DavidPaetzel.html AndreasMargraf.html JoergHaehner.html
  12. 13 eurogp07:DiChio Group-Foraging with Particle Swarms and Genetic Programming CeciliaDiChio.html PaoloDiChio.html
  13. Dingle:2024:GPTP Simplicity Bias, Algorithmic Probability, and Biological Evolution KamaludinDingle.html
  14. 3 dzeroski:1995:dsiml Dynamical System Identification with Machine Learning SasoDzeroski.html LjupcoTodorovski.html IgorPetrovski.html
  15. Earl:2024:GPTP Principles of Persuasion: What changes minds AllisonEarl.html
  16. 22 Fillon:2007:cec Symbolic Regression of Discontinuous and Multivariate Functions by Hyper-Volume Error Separation (HVES) CyrilFillon.html AlbertoBartoli.html
  17. 8 Fredericks:2024:GPTP Crafting Generative Art Through Genetic Improvement: Managing Creative Outputs in Diverse Fitness Landscapes ErikMFredericks.html DentonBobeldyk.html JaredMMoore.html
  18. 2 Garcia-Almanza_2006_CEC Simplifying Decision Trees Learned by Genetic Programming AlmaLiliaGarciaAlmanza.html EdwardPKTsang.html
  19. 8 Garnica:2024:GPTP Tree-Based Grammatical Evolution with Non-Encoding Nodes MarinadelaCruzEcheandia.html OscarGarnica.html JoseManuelVelascoCabo.html DanielParraRodriguez.html JoseIgnacioHidalgoPerez.html
  20. 8 Guadalupe-Hernandez:2024:GPTP Lexicase Selection Parameter Analysis: Varying Population Size and Test Case Redundancy with Diagnostic Metrics JoseGuadalupeHernandez.html AnilKumarSaini.html JasonHMoore.html
  21. 32 Hemberg:thesis An Exploration of Grammars in Grammatical Evolution ErikHemberg.html
  22. 8 Hemberg:2024:GPTP Survey of Genetic Programming and Large Language Models ErikHemberg.html StevenPJorgensen.html Una-MayO'Reilly.html
  23. 2 Hornby:2006:space Automated Antenna Design with Evolutionary Algorithms GregorySHornby.html AlGlobus.html DerekSLinden.html JasonLohn.html
  24. 2 Ivanchik:2023:CEC Directed differential equation discovery using modified mutation and cross-over operators ElizavetaIvanchik.html AlexanderAHvatov.html
  25. 1 Jia:ieeeTC Learning Heuristics With Different Representations for Stochastic Routing Ya-HuiJia.html YiMei.html MengjieZhang.html
  26. 24 Kavita:2023:CONIT Metaheuristic Evolutionary Algorithms: Types, Applications, Future Directions, and Challenges ShelkeKavita.html SubhashKShinde.html
  27. 9 Kelly:2024:GPTP Evolving Many-Model Agents with Vector and Matrix Operations in Tangled Program Graphs TanyaDjavaherpour.html AliNaqvi.html EddieZhuang.html StephenKelly.html
  28. 10 Kotanchek:2024:GPTP Representation and Reachability: Assumption Impact in Data Modeling MarkKotanchek.html NathanielHaut.html KelvinKotanchek.html
  29. 13 lane:2023:AISB Evolving Time-Dependent Cognitive Models PeterCRLane.html NomanJaved.html AngeloPirrone.html LauraBartlett.html FernandGobet.html
  30. 1 Langdon:1998:bloatMUTegp Fitness Causes Bloat: Mutation WilliamBLangdon.html RiccardoPoli.html
  31. 3 langdon:2024:ASE Deep Imperative Mutations have Less Impact WilliamBLangdon.html DavidClark.html
  32. 8 Lavinas:2024:GPTP Interpretable Genetic Programming Models for Real-World Biomedical Images YuriLavinas.html CamiloDeLaTorre.html KevinCortacero.html DennisGWilson.html SylvainCussat-Blanc.html
  33. 3 Jia-Hong_Liu:thesis Portfolio Investment Based on Neural Networks Jia-HongLiu.html
  34. 8 Lourenco:2024:GPTP Automatic Design of Autoencoders Using NeuroEvolution AlexydeAlmeida.html NunoLourenco.html PenousalMachado.html
  35. 2 Luke2009Metaheuristics Essentials of Metaheuristics SeanLuke.html
  36. 1 Madic:2022:FUME Mathematical modelling of the CO2 laser cutting process using genetic programming MilosMadic.html MarinGostimirovic.html DraganRodic.html MiroslavRadovanovic.html MargaretaCoteata.html
  37. 1 MICHELL:2020:ASC Strongly-typed genetic programming and fuzzy inference system: An embedded approach to model and generate trading rules KevinMichell.html WernerKristjanpoller.html
  38. 3 Miyashita:2000:GECCO Job-Shop Scheduling with Genetic Programming KazuoMiyashita.html
  39. 4 molnar:1996:bits Genetic Programming: Will Bill Gates become Billy Appleseed? DarinRMolnar.html
  40. 2 Muqeet:2024:SSBSE Approximating Stochastic Quantum Noise through Genetic Programming AsmarMuqeet.html ShaukatAli.html PaoloArcaini.html
  41. 45 NAJAFIMOGHADDAMGILANI:2020:CBM Prediction and pareto-based multi-objective optimization of moisture and fatigue damages of asphalt mixtures modified with nano hydrated lime VahidNajafiMoghaddamGilani.html SeyedMohsenHosseinian.html HamidBehbahani.html GholamHosseinHamedi.html
  42. 21 ni:2024:GECCO Effective Adaptive Mutation Rates for Program Synthesis AndrewNi.html LeeSpector.html
  43. 8 Ofria:2024:GPTP Using Lineage Age to Augment Search Space Exploration in Lexicase Selection KarenSuzue.html CharlesOfria.html AlexanderLalejini.html
  44. 8 Pantridge:2024:GPTP Code Building Genetic Programming is Faster than PushGP EdwardRPantridge.html ThomasHelmuth.html
  45. 20 piszcz:gecco05ws Genetic Programming: Parametric Analysis of Structure Altering Mutation Techniques AlanPiszcz.html TerenceSoule.html
  46. 7 Pontes:2024:GPTP Cell Regulation and the Early Evolution of Autonomous Control AnselmoCPontes.html NicholasLPanchy.html
  47. 4 Purohit:2013:ICTACT a new mutation operator in genetic programming AnuradhaPurohit.html NarendraSChoudhari.html ArunaTiwari.html
  48. Rebolleda:2024:GPTP Engineering ecology, shaping the environment to shape microbial function MariaRebolleda-Gomez.html
  49. 7 Sekanina:2024:GPTP Genetic Programming with Memory for Approximate Data Reconstruction LukasSekanina.html TadeasJuza.html
  50. 7 Sipper:2024:GPTP Deep Learning-Based Operators for Evolutionary Algorithms EliadShem-Tov.html MosheSipper.html AchiyaElyasa.html
  51. 21 SONG:2021:SEC A genetic programming hyper-heuristic for the distributed assembly permutation flow-shop scheduling problem with sequence dependent setup times Hong-BoSong.html JianLin.html
  52. 7 Spector:2024:GPTP Ratcheted Random Search for Self-programming Boolean Networks LeeSpector.html
  53. 6 Standish04b Tierra's missing neutrality: case solved RussellKStandish.html
  54. 25 stanovov:2021:Algorithms Difference-Based Mutation Operation for Neuroevolution of Augmented Topologies VladimirStanovov.html ShakhnazAkhmedova.html EugeneSemenkin.html
  55. 12 stilger:1996:GPdbqo Genetic Programming in Database Query Optimization MichaelStillger.html MyraSpiliopoulou.html
  56. 1 suarez-tangil:2009:CISIS Automatic Rule Generation Based on Genetic Programming for Event Correlation GuillermoNicolasSuarezdeTangilRotaeche.html EstherPalomarGonzalez.html JoseMariaDeFuentesGarcia-RomerodeTejada.html JorgeBlascoAlis.html DArturoRibagordaGarnacho.html
  57. 5 Tanev:2007:AASOS Learning Mutation Strategies for Evolution and Adaptation of a Simulated Snakebot IvanTTanev.html
  58. 7 Vafaee:thesis Controlling Genetic Operator Rates in Evolutionary Algorithms FatemehVafaee.html
  59. 8 Vanneschi:2024:GPTP Exploring Non-Bloating Geometric Semantic Genetic Programming LeonardoVanneschi.html DavideFarinati.html DiogoRasteiro.html LiahRosenfeld.html GloriaPietropolli.html SaraSilva.html
  60. 2 whigham:1995:GBGP Grammatically-based Genetic Programming PeterAlexanderWhigham.html
  61. 8 Winkler:2024:GPTP How to Measure Explainability and Interpretability of Machine Learning Results ElisabethMayrhuber.html BogdanBurlacu.html StephanMWinkler.html
  62. 13 Xiong:2003:WUJNS Point-tree structure genetic programming method for discontinuous function's regression ShengwuXiong.html WeiwuWang.html
  63. 2 shengwu:2003:anhsgpisr A new hybrid structure genetic programming in symbolic regression ShengwuXiong.html WeiwuWang.html
  64. 33 yang:2021:omega Accelerating the Selection of Covalent Organic Frameworks with Automated Machine Learning PeisongYang.html HuanZhang2.html XinLai.html KunfengWang.html QingyuanYang.html DuliYu.html
  65. 8 Zhang:2024:GPTP EvoFeat: Genetic Programming-Based Feature Engineering Approach to Tabular Data Classification HengzheZhang.html QiChen.html BingXue.html YanWang.html AiminZhou.html MengjieZhang.html

New and modified entries