Changes to Genetic Programing Bibliography since 2024/12/21

New and modified entries

New

  1. Ari:2021:SAUJS A Review of Genetic Programming: Popular Techniques, Fundamental Aspects, Software Tools and Applications DavutAri.html BarisBaykantAlagoz.html
  2. Ari:2023:ASOC A differential evolutionary chromosomal gene expression programming technique for electronic nose applications DavutAri.html BarisBaykantAlagoz.html
  3. Bird:thesis Optimizing Resource Allocations for Dynamic Interactive Applications SarahBird.html
  4. blot:2025:ACMsurveys A Comprehensive Survey of Benchmarks for Improvement of Software's Non-Functional Properties AymericBlot.html JustynaPetke.html
  5. Chakraborti:2016:camdtpa Data-Driven Bi-Objective Genetic Algorithms EvoNN and BioGP and Their Applications in Metallurgical and Materials Domain NirupamChakraborti.html
  6. GPRS-kit GPRS-kit 0.2 User Guide HenryMCook.html
  7. Cook:CS-2007-12 Genetically Programmed Response Surfaces for Efficient Design Space Exploration HenryMCook.html KevinSkadron.html
  8. Crary:2025:GPEM Using FPGA devices to accelerate the evaluation phase of tree-based genetic programming: an extended analysis ChristopherCCrary.html WesleyPPiard.html GregStitt.html BenjaminHicks.html CalebBean.html BogdanBurlacu.html WolfgangBanzhaf.html
  9. deAlmeida:masterthesis Automatic Design of Autoencoders using NeuroEvolution AlexyDamienTomeJulienDenisdeAlmeida.html
  10. Kovacic:2024:APEM Reducing scrap in long rolled round steel bars using Genetic Programming after ultrasonic testing MihaKovacic.html AljazZupanc.html UrosZuperl.html MiranBrezocnik.html
  11. PhD-Thesis-E18SOE822-Arvind-Final-signed Unbalanced data classification Using genetic programming ArvindKumar.html
  12. Langdon:2025:EuroGP Population Diversity, Information Theory and Genetic Improvement WilliamBLangdon.html DavidClark.html
  13. Madic:2022:FUME MATHEMATICAL MODELLING OF THE CO2 LASER CUTTING PROCESS USING GENETIC PROGRAMMING MilosMadic.html MarinGostimirovic.html DraganRodic.html MiroslavRadovanovic.html MargaretaCoteata.html
  14. Schweim:2018:GECCO An analysis of the bias of variation operators of estimation of distribution programming DirkSchweim.html FranzRothlauf.html
  15. Tonda:GPEM:PySR Review of PySR: high-performance symbolic regression in Python and Julia AlbertoTonda.html
  16. Vaidya:2023:Algorithms Grammatical Evolution-Driven Algorithm for Efficient and Automatic Hyperparameter Optimisation of Neural Networks GauriVaidya.html MeghanaKshirsagar.html ConorRyan.html
  17. Xue:2025:GP EuroGP 2025: Proceedings of the 28th European Conference on Genetic Programming BingXue.html LucaManzoni.html IllyaBakurov.html

Modified

  1. 2 journals/iajit/AbbasiSA14 Multi Block based Image Watermarking in Wavelet Domain Using Genetic Programming AlmasAbbasi.html WooChawSeng.html ImranShafiqAhmad.html
  2. 1 kinnear:andrews Genetic Programming for the Acquisition of Double Auction Market Strategies MartinAndrews.html RichardPrager.html
  3. 1 ari:2022:NCaA An effective integrated genetic programming and neural network model for electronic nose calibration of air pollution monitoring application DavutAri.html BarisBaykantAlagoz.html
  4. DBLP:phd/tr/Ari23 The genetic programming and its applications in engineering DavutAri.html
  5. 21 ASTERIS:2021:TG Soft computing based closed form equations correlating L and N-type Schmidt hammer rebound numbers of rocks PanagiotisGAsteris.html AnnaMamou.html MohsenHajihassani.html MahdiHasanipanah.html MohammadrezaKoopialipoor.html Tien-ThinhLe.html Mohammadnavid_Navid_Kardani.html DanialJahedArmaghani.html
  6. Genmorph_TSE_2024 GenMorph: Automatically Generating Metamorphic Relations via Genetic Programming JonAyerdi.html ValerioTerragni.html GunelJahangirova.html AitorArrieta.html PaoloTonella.html
  7. 6 Becker:2020:TPOT Faster AutoML with TPOT and RAPIDS NickBecker.html DanteGamaDessavre.html JohnZedlewski.html
  8. 5 oai:HAL:hal-02489115v1 Nested Monte Carlo Expression Discovery vs Genetic Programming for Forecasting Financial Volatility SanaBenHamida.html TristanCazenave.html
  9. 2 Bi:2023:CEC Evolutionary Deep-Learning for Image Classification: A Genetic Programming Approach YingBi.html BingXue.html MengjieZhang.html
  10. 1 blot2022comprehensive A Comprehensive Survey of Benchmarks for Automated Improvement of Software's Non-Functional Properties AymericBlot.html JustynaPetke.html
  11. 7 Brownlee:2024:ASE Large Language Model Based Mutations in Genetic Improvement AlexanderEIBrownlee.html JamesCallan.html KarineEven-Mendoza.html AlinaGeiger.html CarolHanna.html JustynaPetke.html FedericaSarro.html DominikSobania.html
  12. 1 Burlacu:2024:GPTP Gradient-based Local Search in Symbolic Regression BogdanBurlacu.html
  13. 4 DBLP:journals/corr/abs-2211-05723 A Python library for nonlinear system identification using Multi-Gene Genetic Programming algorithm HenriqueCarvalhodeCastro.html BrunoHenriqueGroennerBarbosa.html
  14. 3 Cattani:thesis Extending Cartesian genetic programming : multi-expression genomes and applications in image processing and classification PhilipTCattani.html
  15. 3 Chakraborti:2015:csdc Data-driven paradigms of EvoNN and BioGP NirupamChakraborti.html
  16. 10 chan:2002:AGPFAGP Automatic Generation of Prime Factorization Algorithms using Genetic Programming DavidMichaelChan.html
  17. 3 Chitty:thesis Improving the computational speed of genetic programming DarrenMChitty.html
  18. 2 Cilibrasi:thesis Statistical Inference Through Data Compression RudiCilibrasi.html
  19. 3 Cook:2008:DAC Predictive design space exploration using genetically programmed response surfaces HenryMCook.html KevinSkadron.html
  20. 45 Cortacero:thesis Programmation Genetique Cartesienne pour la Segmentation d'Images Biomedicales KevinCortacero.html
  21. 7 Crary:2024:PPSN Enhancing the Computational Efficiency of Genetic Programming through Alternative Floating-Point Primitives ChristopherCCrary.html BogdanBurlacu.html WolfgangBanzhaf.html
  22. 8 Cui:2024:PPSN Positional Bias Does Not Influence Cartesian Genetic Programming with Crossover HenningCui.html MichaelHeider.html JoergHaehner.html
  23. 6 De-La-Torre:2024:PPSN Multi-Modal Adaptive Graph Evolution for Program Synthesis CamiloDeLaTorre.html YuriLavinas.html KevinCortacero.html DennisGWilson.html SylvainCussat-Blanc.html
  24. 2 deFreitas:2014:CILAMCE Aplica\cc\~ao de uma programa\cc\~ao gen\'etica gramatical na infer\^encia da m\'axima deforma\cc\~ao longitudinal de dutos com amassamento JoaoMarcosdeFreitas.html MarcusViniciusSilva.html HederSoaresBernardino.html JoaoNisanCorreiaGuerreiro.html HelioJCBarbosa.html
  25. 6 Durasevic:2024:PPSN Improving the performance of relocation rules for the container relocation problem with the rollout algorithm MarkoDurasevic.html MatejaDumic.html FranciscoJavierGilGala.html NikolinaFrid.html DomagojJakobovic.html
  26. 1 Durasevic:2024:EA Investigation of Structures for Routing Rules Designed by Genetic Programming for the Electric Vehicle Routing Problem MarkoDurasevic.html NikolinaFrid.html FranciscoJavierGilGala.html
  27. 1 Durasevic:2024:EA2 Designing Less Myopic Routing Policies with Genetic Programming for the Electric Vehicle Routing Problem MarkoDurasevic.html FranciscoJavierGilGala.html
  28. 24 Fan:2023:FoSE Large Language Models for Software Engineering: Survey and Open Problems AngelaFan.html BelizUgurhanGokkaya.html MarkHarman.html MityaLyubarskiy.html ShubhoSengupta.html ShinYoo.html JieMarinaZhang.html
  29. 5 fayolle:tel-00476678 Reconstruction of 3D objects using a functional representation Pierre-AlainFayolle.html
  30. 7 DBLP:phd/dnb/Fischer19 Machine learning in financial markets ThomasGFischer.html
  31. 4 pmlr-v238-sen-fong24a Multi-Level Symbolic Regression: Function Structure Learning for Multi-Level Data KeiSenFong.html MehulMotani.html
  32. 1 oai:cds.cern.ch:2255146 Applying natural evolution for solving computational problems - Lecture 2 DanielLanzaGarcia.html
  33. 1 Guizzo:2024:TOSEM Speeding up Genetic Improvement via Regression Test Selection GiovaniGuizzo.html DavidWilliams.html MarkHarman.html JustynaPetke.html FedericaSarro.html
  34. 1 Harman:2014:seams Genetic Improvement for Adaptive Software Engineering MarkHarman.html YueJia.html WilliamBLangdon.html JustynaPetke.html ImanHematiMoghadam.html ShinYoo.html FanWu.html
  35. 1 Hong:thesis Hyper-heuristic approaches to automatically designing heuristics as mutation operators for evolutionary programming on function classes LibinHong.html
  36. 3 Huang:2007:ESA Credit scoring with a data mining approach based on support vector machines Cheng-LungHuang.html Mu-ChenChen.html Chieh-Jen_Steve_Wang.html
  37. 1 RISI5715Ana Revision de las tecnicas existentes en Programacion Genetica para evolucionar las subrutinas AnaMariaHuaynaDuenas.html
  38. 1 kinnear:iba Genetic Programming Using a Minimum Description Length Principle HitoshiIba.html HugodeGaris.html TaisukeSato.html
  39. 3 Jakobovic:thesis Scheduling based on adaptive rules DomagojJakobovic.html
  40. 1 Jia:Picassevo Picassevo YueJia.html
  41. 2 Kalkreuth:2024:sigevolution Drifting and Evolving: The graph-based Genetic Programming community has entered a new Era RomanTobiasKalkreuth.html
  42. 4 KARDANIMohammadnavid2021Hmla Hybrid machine learning algorithms and optimisation techniques as new solution for geotechnical problems Mohammadnavid_Navid_Kardani.html
  43. 2 Khattab:2023:neurips DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines OmarKhattab.html ArnavSinghvi.html ParidhiMaheshwari.html ZhiyuanZhang.html KeshavSanthanam.html SriVardhamananA.html SaifulHaq.html AshutoshSharma.html ThomasTJoshi.html HannaMoazam.html HeatherMiller.html MateiAZaharia.html ChristopherPotts.html
  44. 7 Koch:2024:PPSN Simultaneous Model-Based Evolution of Constants and Expression Structure in GP-GOMEA for Symbolic Regression JohannesKoch.html TanjaAlderliesten.html PeterANBosman.html
  45. 1 Koohestani:thesis Genetic Hyper-Heuristics for Graph Layout Problems BehroozKoohestani.html
  46. 1 kovacic:2024:metals Optimization of Billet Cooling after Continuous Casting Using Genetic Programming-Industrial Study MihaKovacic.html AljazZupanc.html RobertVertnik.html UrosZuperl.html
  47. 2 Koza:2000:GECCOlb Automatic Synthesis of a Wire Antenna Using Genetic Programming WilliamComisky.html JessenYu.html JohnKoza.html
  48. 6 Kronberger:2024:PPSN The Inefficiency of Genetic Programming for Symbolic Regression GabrielKronberger.html FabricioOlivettideFranca.html HarryDesmond.html DeaglanJBartlett.html LukasKammerer.html
  49. 2 LaCava:thesis Automatic Development and Adaptation of Concise Nonlinear Models for System Identification WilliamLaCava.html
  50. 1 langdon:2011:SC Graphics Processing Units and Genetic Programming: An overview WilliamBLangdon.html
  51. 2 langdon_2012_sigevolution Distilling GeneChips with Genetic Programming on the Emerald GPU supercomputer WilliamBLangdon.html
  52. 2 langdon:2024:GI Deep Mutations have Little Impact WilliamBLangdon.html DavidClark.html
  53. 4 langdon:2025:GI The gem5 C++ glibc Heap Fitness Landscape WilliamBLangdon.html BobbyRBruce.html
  54. 6 Lavinas:2024:PPSN Adaptive Sampling of Biomedical Images with Cartesian Genetic Programming YuriLavinas.html NathanielHaut.html WilliamFPunch.html WolfgangBanzhaf.html SylvainCussat-Blanc.html
  55. 6 Liu:2024:PPSN GPGLS: Genetic Programming Guided Local Search for Large-Scale Vehicle Routing Problems SainingLiu.html JoaoGuilhermeCavalcantiCosta.html YiMei.html MengjieZhang.html
  56. 2 Luke1:2001:GECCO A Survey and Comparison of Tree Generation Algorithms SeanLuke.html LiviuPanait.html
  57. 22 DBLP:journals/corr/abs-2403-03397 Explaining Genetic Programming Trees using Large Language Models PaulaMaddigan.html AndrewLensen.html BingXue.html
  58. 4 Magnusson:2016:GECCO Improving the Canny Edge Detector Using Automatic Programming: Improving Non-Max Suppression LarsVidarMagnusson.html JRolandOlsson.html
  59. 24 Magnusson:2016:ICIVC Improving the Canny edge detector using automatic programming: Improving the filter LarsVidarMagnusson.html JRolandOlsson.html
  60. 1 Martinez:2014:Medellin Predicci\'on de los precios de contratos de electricidad usando programaci\'on gen\'etica con bloques funcionales CarlosAlbertoMartinez.html JuanDavidVelasquezHenao.html
  61. 1 McConaghy:2011:CICC High-dimensional statistical modeling and analysis of custom integrated circuits TrentMcConaghy.html
  62. 3 Megane:2024:sigevolution Summary of EvoStar 2024 JessicaMegane.html
  63. 3 conf/seal/MeiNZ17 Constrained Dimensionally Aware Genetic Programming for Evolving Interpretable Dispatching Rules in Dynamic Job Shop Scheduling YiMei.html SuNguyen.html MengjieZhang.html
  64. 16 MERKURYEVA:2019:procs Demand forecasting in pharmaceutical supply chains: A case study GalinaMerkurjeva.html AijaValberga.html AlexanderVSmirnov.html
  65. 1 Ali_Meshgi_PhD_Thesis Rainfall-Runoff Processes in Tropical Urban Environments AliMeshgi.html
  66. 26 Milano:2023:MetroAutomotive An Analytical Model for Lithium-Ion Batteries Based on Genetic Programming Approach FilippoMilano.html GiuliaDiCapua.html NunzioOliva.html FrancescoPorpora.html CarmineBourelly.html LFerrigno.html MLaracca.html
  67. 1 Mosayebi:2020:GI9 Tuning Genetic Algorithm Parameters using Design of Experiments MohsenMosayebi.html ManbirSSodhi.html
  68. 7 Mugambi:thesis Automated inference of comprehensible models for medical data mining ErnestMugambi.html
  69. 1 Mwaura:thesis Evolution of Robotic Behaviour using Gene Expression Programming JonathanMwaura.html
  70. 2 conf/atal/NeupaneG19 Designing Emergent Swarm Behaviors using Behavior Trees and Grammatical Evolution AadeshNeupane.html MichaelAGoodrich.html
  71. 2 Nordin:1995:cce Complexity Compression and Evolution PeterNordin.html WolfgangBanzhaf.html
  72. 3 Oesch:thesis A Computational Investigation of Price Impact ChristianOesch.html
  73. 1 Petke:2013:SSBSE Applying Genetic Improvement to MiniSAT JustynaPetke.html WilliamBLangdon.html MarkHarman.html
  74. 20 Rabuge:2024:PPSN Decision Tree Based Wrappers for Hearing Loss MiguelRabuge.html NunoLourenco.html
  75. 23 Reuter:2024:PPSN Unit-Aware Genetic Programming for the Development of Empirical Equations JuliaReuter.html ViktorMartinek.html RolandHerzog.html SanazMostaghim.html
  76. 7 Reyes-Fernandez-de-Bulnes:2024:PPSN Feature Encapsulation by Stages in the Regression Domain Using Grammatical Evolution DarianReyesFernandezdeBulnes.html AllanDanilodeLima.html EdgarGalvanLopez.html ConorRyan.html
  77. 3 oai:CiteSeerX.psu:10.1.1.411.5348 Robust Design and Reliability-based Design Optimization DirkRoos.html ChristianBucher.html
  78. 3 Rosenfeld:2025:GPEM A survey on batch training in genetic programming LiahRosenfeld.html LeonardoVanneschi.html
  79. 2 Ryan:2022:SciRep Design of a cryptographically secure pseudo random number generator with grammatical evolution ConorRyan.html MeghanaKshirsagar.html GauriVaidya.html AndrewCunningham.html RSivaraman.html
  80. 9 Samore:2018:rhlAI Artificial Intelligence and the Patent System: Can a New Tool Render a Once Patentable Idea Obvious? WilliamJSamore.html
  81. 22 scalzitti:2024:CAMD Computational peptide discovery with a genetic programming approach NicolasScalzitti.html IliyaMiralavy.html DavidEKorenchan.html ChristianTFarrar.html AssafAGilad.html WolfgangBanzhaf.html
  82. 83 DBLP:phd/dnb/Schweim21 On Sampling Error and Bias in Evolutionary Algorithms DirkSchweim.html
  83. 1 Shahnazari:2014:IJCE Evolutionary-based approaches for settlement prediction of shallow foundations on cohesionless soils HabibShahnazari.html MohamedShahin.html MohammadAminTutunchian.html
  84. 15 Sipper:2024:GPTP Deep learning-based operators for evolutionary algorithms EliadShem-Tov.html MosheSipper.html AchiyaElyasa.html
  85. 4 DBLP:phd/dnb/Sobania22 On the structure and generalizability of programs synthesized by genetic programming DominikSobania.html
  86. 6 song:2024:PPSN Symbol Graph Genetic Programming for Symbolic Regression JingluSong.html QiangLu.html BozhouTian.html JingwenZhang.html JakeLuo.html ZhiguangWang.html
  87. 3 spector:2001:GECCO Proceedings of the Genetic and Evolutionary Computation Conference, GECCO-2001 LeeSpector.html ErikGoodman.html AnnieSWu.html WilliamBLangdon.html Hans-MichaelVoigt.html MitsuoGen.html SandipSen.html MarcoDorigo.html ShahramPezeshk.html MaxHGarzon.html EdmundBurke.html
  88. 4 DBLP:journals/iajit/SultanTA19 Improving classification performance using genetic programming to evolve string kernels RubaSultan.html HashemTamimi.html YaqoubAshhab.html
  89. 4 TurkyAyad2019Bhaf Bi-level hyper-heuristic approaches for combinatorial optimisation problems AyadMashaanTurky.html
  90. 5 Vaidya:2022:ICSBT HyperEstimator: Evolving Computationally Efficient CNN Models with Grammatical Evolution GauriVaidya.html LuiseIlg.html MeghanaKshirsagar.html EnriqueNaredo.html ConorRyan.html
  91. 41 VLASIC:2019:CIE Improving genetic algorithm performance by population initialisation with dispatching rules IvanVlasic.html MarkoDurasevic.html DomagojJakobovic.html
  92. 1 Weimer:2019:ICSE It Does What You Say, Not What You Mean: Lessons From A Decade of Program Repair WestleyWeimer.html ThanhVuNguyen.html ClaireLeGoues.html StephanieForrest.html
  93. 1 Weise:2011:ieeeTEC Evolving Distributed Algorithms with Genetic Programming ThomasWeise.html KeTang.html
  94. 9 Wilson:2024:GGP On Search Trajectory Networks for Graph Genetic Programming CamiloDeLaTorre.html SylvainCussat-Blanc.html DennisGWilson.html YuriLavinas.html
  95. 1 Winkler:2024:GPTP How to measure explainability and interpretability of machine learning results StephanMWinkler.html
  96. 3 Worm:thesis Prioritized Grammar Enumeration: A novel method for symbolic regression TonyWorm.html
  97. 18 Yan:2008:gecco Learning to optimize profits beats predicting returns -: comparing techniques for financial portfolio optimisation WeiYan.html MartinVSewell.html ChristopherDClack.html
  98. 1 DissertationZaef18 Surrogate models for discrete optimization problems MartinZaefferer.html
  99. 1 journals/aai/ZafariKRM14 Evolving Recurrent Neural Network using Cartesian Genetic Programming to Predict The Trend in Foreign Currency Exchange Rates FaheemZafari.html GulMuhammadKhan.html MehreenRehman.html SahibzadaAliMahmud.html
  100. 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
  101. 4 Zhang:2023:CEC Genetic Programming and Machine Learning for Scheduling FangfangZhang.html MengjieZhang.html YiMei.html SuNguyen.html
  102. 7 Zhang:2024:PPSN P-Mixup: Improving Generalization Performance of Evolutionary Feature Construction with Pessimistic Vicinal Risk Minimization HengzheZhang.html QiChen.html BingXue.html MengjieZhang.html WolfgangBanzhaf.html
  103. 2 mengjie-thesis A Domain Independent Approach to 2D Object Detection Based on the Neural and Genetic Paradigms MengjieZhang.html

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