Changes to Genetic Programing Bibliography since 2025/11/01

New and modified entries

New

  1. abdelbari:thesis Supporting System Dynamics Modeling using Computational Intelligence Techniques HassanAbdelbari.html
  2. Bacardit:2023:evostarLBA Evolutionary Computation and Explainable AI: a year in review JaumeBacardit.html AlexanderEIBrownlee.html StefanoCagnoni.html GiovanniIacca.html JohnAWMcCall.html DavidWalker.html
  3. Cao:2017:GECCO Late-acceptance and Step-counting Hill-climbing GP for Anomaly Detection VanLoiCao.html MiguelNicolau.html JamesMcDermott.html
  4. Colomine-Duran:2022:evostarLBA Mapping the Field of Metaheuristic and Bioinspired Portfolio Optimization FeijooColomineDuran.html CarlosCotta.html AntonioJoseFernandezLeiva.html
  5. Diaz-Alvarez:2023:evostarLBA Population size influence on the energy consumption of Genetic Programming JosefaDiazAlvarez.html Maria-IsabelGarcia-Arenas.html PedroACastilloValdivieso.html FranciscoFernandezdeVega.html FranciscoChavezdelaO.html JorgeAlvarado.html
  6. Ferrari2022 Multi-objective Symbolic Regression to Generate Data-driven, Non-fixed Structure and Intelligible Mortality Predictors using EHR: Binary Classification Methodology and Comparison with State-of-the-art DavideFerrari.html VeronicaGuidetti.html VasaCurcin.html YanzhongWang.html
  7. Ferrari:2024:PLOSdh Using interpretable machine learning to predict bloodstream infection and antimicrobial resistance in patients admitted to ICU: Early alert predictors based on EHR data to guide antimicrobial stewardship DavideFerrari.html PietroArina.html JonathanEdgeworth.html VasaCurcin.html VeronicaGuidetti.html FedericaMandreoli.html YanzhongWang.html
  8. Hurta:2023:evostarLBA Multi-objective Design of Hardware Accelerators for Levodopa-Induced Dyskinesia Classifiers MartinHurta.html VojtechMrazek.html MichaelaSikulova.html LukasSekanina.html
  9. Husa:2023:evostarLBA Semantic Mutation Operator for Fast and Efficient Design of Bent Boolean Functions JakubHusa.html LukasSekanina.html
  10. Ingelse:2022:evostarLBA Benchmarking Representations of Individuals in Grammar-Guided Genetic Programming LeonIngelse.html GuilhermeJorgeNunesMonteiroEspada.html AlcidesFonseca.html
  11. jadhwani:2026:GI Applying Genetic Improvement Techniques for Automated Program Repair of Transpiled Code PrashamJadhwani.html CarolHanna.html WilliamBLangdon.html JustynaPetke.html
  12. Kalayci-Sahinoglu27052024 Predicting advance rate and cutter life in TBM tunnelling using evolutionary algorithm UlkuKalayciSahinoglu.html MuratKarakus.html
  13. Kalinichenko:2020:evostarLBA From Business Curated Products to Algorithmically Generated VeraKalinichenko.html GarimaGarg.html
  14. langdon:2025:eval_avx512 Improving a Parallel C++ Intel AVX-512 SIMD Linear Genetic Programming Interpreter WilliamBLangdon.html
  15. langdon:2026:GI Improving a Parallel C++ Intel SSE SIMD Linear Genetic Programming Interpreter WilliamBLangdon.html CarolHanna.html
  16. Langdon:2026:raLGP Long Term Evolution Experiments with Linear Genetic Programming WilliamBLangdon.html
  17. lee:2026:GI GI-Agent Search-Based LLM Agent for Code Optimization with Genetic Improvement DonghyunLee.html WilliamBLangdon.html JustynaPetke.html
  18. liggesmeyer2025protocoltestingiogrammars Protocol Testing with I/O Grammars AlexanderLiggesmeyer.html JoseAntonioZamudioAmaya.html AndreasZeller.html
  19. Liu2021 Learning Classifier Systems for Understanding Patterns in Data YiLiu2.html
  20. Maculotti:2024:QREI Optimisation of laser welding of deep drawing steel for automotive applications by Machine Learning: A comparison of different techniques GiacomoMaculotti.html GianfrancoGenta.html MaurizioGaletto.html
  21. Moodi:2024:KJ Intelligent Models for Predicting the Compressive Strength of Green Concrete Made with Fine and Coarse Grains of Waste Copper Slag YaserMoodi.html NaserSafaeianHamzehkolaei.html ImanAfshoon.html
  22. Munoz:2025:CyS Evolutive Layers in M3GP Basis for Symbolic Deep Learning Models LuisMunozDelgado.html
  23. DBLP:conf/issta/NeuhausAZ25 Personalized Fuzzing: A Case Study with the FANDANGO Fuzzer on a GNSS Module (Short Paper) StephanNeuhaus.html JoseAntonioZamudioAmaya.html AndreasZeller.html
  24. nicolau06d Genetic Algorithms using Grammatical Evolution MiguelNicolau.html
  25. Nicolau:2008:cec Evolving Scale-Free Topologies Using a Gene Regulatory Network Model MiguelNicolau.html MarcSchoenauer.html
  26. Nicolau:2015:EURO Moving Towards Big Data Scalability with the Grammatical Evolution System MiguelNicolau.html
  27. Nicolau:2016:EURO Designing a Massive Dataset Framework for the Grammatical Evolution System MiguelNicolau.html
  28. Pike:2025:evostarLBA Image classification by evolving bytecode HamishNichollCathcartPike.html
  29. Ramachandran:mastersthesis After architecture : charting a new course GirishRamachandran.html
  30. Rovito:2025:GPEM Semantic-based recombination and mutation in cellular-inspired genetic programming LuigiRovito.html LorenzoBonin.html DavideFarinati.html LeonardoVanneschi.html LucaManzoni.html AndreaDeLorenzo.html GloriaPietropolli.html
  31. silva2003gplab GPLAB -- A Genetic Programming Toolbox for MATLAB SaraSilva.html JonasSAlmeida.html
  32. Sohrabi:2024:IJMT Frequency Domain Optimization of Homogeneous Anechoic Multi-Layers Using Genetic Programming SayedHamidSohrabi.html SaeedParsamehr.html AmirKarimi.html
  33. DBLP:journals/pacmse/AmayaSZ25 FANDANGO: Evolving Language-Based Testing JoseAntonioZamudioAmaya.html MariusSmytzek.html AndreasZeller.html
  34. Hengzhe_Zhang:2025:GPEM Adaptive complexity knee point selection in multi-objective genetic programming for improving generalization of evolutionary feature construction in regression HengzheZhang.html QiChen.html BingXue.html WolfgangBanzhaf.html MengjieZhang.html

Modified

  1. 1 Affenzeller:2022:GPTP Symbolic Regression in Materials Science: Discovering Interatomic Potentials from Data BogdanBurlacu.html MichaelKommenda.html GabrielKronberger.html StephanMWinkler.html MichaelAffenzeller.html
  2. 40 AHMED:2023:suscom Multivariate time-series sensor vital sign forecasting of cardiovascular and chronic respiratory diseases UsmanAhmed.html JerryChun-WeiLin.html GautamSrivastava.html
  3. 1 al-afandi:2021:Algorithms Adaptive Gene Level Mutation JalalAl-Afandi.html AndrasHorvath.html
  4. 1 Al-Sahaf:2015:EC Binary Image Classification: A Genetic Programming Approach to the Problem of Limited Training Instances HarithAl-Sahaf.html MengjieZhang.html MarkJohnston.html
  5. 1 Altenberg:1995STPT The Schema Theorem and Price's Theorem LeeAltenberg.html
  6. 1 An2017aa PyGGI: Python General framework for Genetic Improvement GabinAn.html JinhanKim.html SeongminLee.html ShinYoo.html
  7. 1 Andelic:2022:FI Detection of Malicious Websites Using Symbolic Classifier NikolaAndelic.html SandiBaressiSegota.html IvanLorencin.html MatkoGlucina.html
  8. 2 Atkinson:2018:EuroGP Evolving Graphs by Graph Programming TimothyAtkinson.html DetlefPlump.html SusanStepney.html
  9. 3 DBLP:journals/corr/abs-1810-10453 Semantic Neutral Drift TimothyAtkinson.html DetlefPlump.html SusanStepney.html
  10. 1 Awange2016 Symbolic Regression JosephLAwange.html BelaPalancz.html
  11. 1 back:2000:EC1 Mutation operators ThomasBack.html DavidBFogel.html LDarrellWhitley.html PeterJohnAngeline.html
  12. 2 banzhaf:1997:gabrrfr Generating Adaptive Behavior for a Real Robot using Function Regression within Genetic Programming WolfgangBanzhaf.html PeterNordin.html MarkusOlmer.html
  13. Benbassat:2011:GECCOcomp Evolving board-game players with genetic programming AmitBenbassat.html MosheSipper.html
  14. 27 benolic:2022:SICAAI Mathematical Modeling of COVID-19 Spread Using Genetic Programming Algorithm LeoBenolic.html ZlatanCar.html NenadFilipovic.html
  15. 3 Bhargavi:2010:IJCSIT Soil Classification Using GATREE PBhargavi.html SingarajuJyothi.html
  16. 2 Dual-Tree_Genetic_Programming_for_Few-Shot_Image_Classification Dual-Tree Genetic Programming for Few-Shot Image Classification YingBi.html BingXue.html MengjieZhang.html
  17. 1 bian:2021:apr_icse Refining Fitness Functions for Search-Based Program Repair ZhiqiangBian.html JustynaPetke.html AymericBlot.html
  18. 3 1274004 An abstraction-based genetic programming system FranckJLBinard.html AmyFelty.html
  19. 26 BOMARITO:2021:CS Development of interpretable, data-driven plasticity models with symbolic regression GeoffreyFBomarito.html TylerSTownsend.html KMStewart.html KathrynVEsham.html JohnMEmery.html JacobDeanHochhalter.html
  20. 2 Brabazon:book:NCA Natural Computing Algorithms AnthonyBrabazon.html MichaelO'Neill.html SeanMcGarraghy.html
  21. 11 Brooks92RR9 Artificial Life and Real Robots RodneyABrooks.html
  22. 1 bruce:1997:lprsbGPADF The Lawnmower Problem Revisited: Stack-Based Genetic Programming and Automatically Defined Functions WilkerShaneBruce.html
  23. 21 CESKA:2022:SEC SagTree: Towards efficient mutation in evolutionary circuit approximation MilanCeska.html JiriMatyas.html VojtechMrazek.html LukasSekanina.html ZdenekVasicek.html TomasVojnar.html
  24. 1 Chamani_Hooman_2021_thesis Pore Wetting in Desalination of Brine Using Membrane Distillation Process HoomanChamani.html
  25. 16 Cornforth:2012:GECCO Symbolic regression of multiple-time-scale dynamical systems TheodoreWCornforth.html HodLipson.html
  26. 4 Cornforth:thesis Data-Driven, Free-Form Modeling Of Biological Systems TheodoreWCornforth.html
  27. 1 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
  28. 1 Dakhama:2025:SSBSE GreenMalloc: Allocator Optimisation for Industrial Workloads AidanDakhama.html WilliamBLangdon.html HectorMenendez.html KarineEven-Mendoza.html
  29. 27 DeFalco:2000:GECCO A Kolmogorov Complexity-based Genetic Programming tool for string compression IvanoeDeFalco.html AIazzetta.html ErnestoTarantino.html AntonioDellaCioppa.html GiuseppeTrautteur.html
  30. 3 Deschain:2001:ASTC Using Linear Genetic Programming to Develop a C/C++ Simulation Model of a Waste Incinerator LarryMDeschaine.html JanardanJPatel.html RonaldDGuthrie.html JosephTGrimski.html MauriceJAdes.html
  31. 1 ding:2022:LEOL Lexicase Selection at Scale LiDing.html RyanBoldi.html ThomasHelmuth.html LeeSpector.html
  32. 3 downing:2001:gecco Adaptive Genetic Programs via Reinforcement Learning KeithLDowning.html
  33. 8 edmonds:2001:MUC Learning Appropriate Contexts BruceEdmonds.html
  34. 1 Ferrari:2022:ICDM Multi-Objective Symbolic Regression for Data-Driven Scoring System Management DavideFerrari.html VeronicaGuidetti.html FedericaMandreoli.html
  35. 1 francone:manual Discipulus Owner's Manual FrankDFrancone.html
  36. 29 Frankland:2015:CEC Evolving game playing strategies for Othello CliveFrankland.html NelishiaPillay.html
  37. 31 FRANKLIN:2022:OM On the runup parameterisation for reef-lined coasts GemmaLFranklin.html AlecTorres-Freyermuth.html
  38. 2 Fuchs:1997:spclGP Solving Problems of Combinatory Logic with Genetic Programming MatthiasFuchs.html DirkFuchs.html MarcFuchs.html
  39. 3 fuchs:1998:xmetsc Crossover versus Mutation: An Empirical and Theoretical Case Study MatthiasFuchs.html
  40. 12 fuchs:1999:LPANATBCIGP Large Populations Are Not Always The Best Choice In Genetic Programming MatthiasFuchs.html
  41. 1 garces-perez:1996:sflp Solving Facility Layout Problems Using Genetic Programming JaimeGarces-Perez.html DaleASchoenefeld.html RogerLWainwright.html
  42. 2 Gervasi:2019:EuroGP A Genetic Programming Approach to Predict Mosquitoes Abundance RiccardoGervasi.html IreneAzzali.html DonalBisanzio.html MarioGiacobini.html AndreaMosca.html LuigiBertolotti.html
  43. 1 Giustolisi:2004:JH Using genetic programming to determine Chezy resistance coefficient in corrugated channels OrazioGiustolisi.html
  44. 1 Guadalupe-Hernandez:thesis Beyond benchmarks suites: engineering diagnostic tools to characterize selection schemes JoseGuadalupeHernandez.html
  45. 1 Hasan:2025:evoapplications Grammatical Feature Construction for Enhanced Interpretability in Breast Cancer Classification YumnahHasan.html AllanDanilodeLima.html DarianReyesFernandezdeBulnes.html DouglasMotaDias.html ConorRyan.html
  46. 1 Hauptman:thesis Evolving Search Heuristics for Combinatorial Games with Genetic Programming AmiHauptman.html
  47. 1 Heywood:2025:GPTP Offline reinforcement learning: A new challenge for symbolic regression? BryceMacInnis.html MalcolmHeywood.html
  48. 1 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
  49. 5 Huang:2018:ieeeTEC Schema Theory Based Data Engineering in Gene Expression Programming for Big Data Analytics ZhengwenHuang.html MaozhenLi.html ChristosChousidis.html AlirezaMousavi.html ChangjunJiang.html
  50. 1 igel:1999:IIDDGCFGP Investigating the Influence of Depth and Degree of Genotypic Change on Fitness in Genetic Programming ChristianIgel.html KumarChellapilla.html
  51. 1 Javed:book Techniques for Context-Free Grammar Induction and Applications: Application of novel inference algorithms to software maintenance problems FaizanJaved.html
  52. 18 kattan08:_gp_zip Evolutionary Lossless Compression with GP-ZIP AhmedKattan.html RiccardoPoli.html
  53. 2 Kattan:thesis Evolutionary Synthesis of Lossless Compression Algorithms: the GP-zip Family AhmedKattan.html
  54. 2 Kattan:2011:GPEM Evolution of human-competitive lossless compression algorithms with GP-zip2 AhmedKattan.html RiccardoPoli.html
  55. 5 icnn93:kinnear Evolving a Sort: Lessons in Genetic Programming KennethEKinnearJr.html
  56. 3 Korns:2015:hbgpa Trading Volatility Using Highly Accurate Symbolic Regression MichaelKorns.html
  57. 7 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
  58. 7 koza:2003:scientific_american Evolving Inventions JohnKoza.html MartinAKeane.html MatthewJStreeter.html
  59. 1 PhD-Thesis-E18SOE822-Arvind-Final-signed Unbalanced data classification Using genetic programming ArvindKumar.html
  60. 5 Kumar:2012:IJSCE Classification Rule Discovery for Diabetes Patients by Using Genetic Programming RajKumar2.html RajeshKVerma.html
  61. 4 Langdon:1997:bloatMUTet Fitness Causes Bloat: Mutation WilliamBLangdon.html RiccardoPoli.html
  62. 4 langdon:2009:gecco2 Multi Objective Higher Order Mutation Testing with GP WilliamBLangdon.html MarkHarman.html YueJia.html
  63. 3 langdon:2009:TAICPART Multi Objective Mutation Testing with Genetic Programming WilliamBLangdon.html MarkHarman.html YueJia.html
  64. 2 langdon:2010:jss Efficient multi-objective higher order mutation testing with genetic programming WilliamBLangdon.html MarkHarman.html YueJia.html
  65. 2 langdon:2020:cec Genetic Improvement of Genetic Programming WilliamBLangdon.html
  66. 5 Langdon:2025:evostarLBA gem5/Z3/gcc/Clang/Redis glibc Heap Fitness Landscapes WilliamBLangdon.html JustynaPetke.html DavidClark.html
  67. 4 Li:gecco05lbp Prefix Gene Expression Programming XinLi.html ChiZhou.html WeiminXiao.html PeterCNelson.html
  68. 19 lillo:2025:GECCOcomp Heterosis-Based Crossover: Leveraging Structural Differences to Control Diversity and Bloat in Genetic Programming LuteLillo.html NickCheney.html
  69. 1 Lin:2023:ICDMW Enhancing Interpretability in AI-Generated Image Detection with Genetic Programming MingqianLin.html LinShang.html Xiaoying_Sharon_Gao.html
  70. 1 Liu:2018:evoApplications Adapting Bagging and Boosting to Learning Classifier Systems YiLiu2.html WillNBrowne.html BingXue.html
  71. 1 1068304 Evaluating GP schema in context HammadMajeed.html ConorRyan.html RMuhammadAtifAzad.html
  72. 26 MANAHOV:2021:IRFA The efficiency of Bitcoin: A strongly typed genetic programming approach to smart electronic Bitcoin markets ViktorManahov.html AndrewUrquhart.html
  73. 1 Mashiane:2014:PRASA Genetic Programming for Password Cracking, Phase One: Grammar Induction ThulaniMashiane.html NelishiaPillay.html
  74. 1 MCDERMOTT201641 Diagnosing a disorder in a classification benchmark JamesMcDermott.html RichardForsyth.html
  75. 6 Miikkulainen:2020:GECCOcomp Evolution of Neural Networks RistoMiikkulainen.html
  76. 1 510373 The genetic algorithm as a discovery engine: strange circuits and new principles JulianFMiller.html TatianaKalganova.html DominicJob.html NataliaGLipnitskaya.html
  77. 8 KumarBentley2003 Evolving the program for a cell: from French flags to Boolean circuits JulianFMiller.html WolfgangBanzhaf.html
  78. 5 neely:2006-046 The adaptive markets hypothesis: evidence from the foreign exchange market ChristopherJNeely.html PaulAWeller.html JoshuaMUlrich.html
  79. 1 Ni:2012:ieeeTEC The Use of an Analytic Quotient Operator in Genetic Programming JiNi.html RussHDrieberg.html PeterIRockett.html
  80. 4 Nicolau2009137 On the evolution of scale-free topologies with a gene regulatory network model MiguelNicolau.html MarcSchoenauer.html
  81. 8 Nicolau:2016:TCIAIG Evolutionary Behavior Tree Approaches for Navigating Platform Games MiguelNicolau.html DiegoPerez-Liebana.html MichaelO'Neill.html AnthonyBrabazon.html
  82. 2 oreilly:1998:piefdsDRAFT Evolution as a design strategy for non-linear architecture: Generative modeling of 3D surfaces Una-MayO'Reilly.html GirishRamachandran.html
  83. 4 oreilly:1998:piefds A Preliminary Investigation of Evolution as a Form Design Strategy Una-MayO'Reilly.html GirishRamachandran.html
  84. 1 Orzechowski:2018:GECCO Where are we now?: a large benchmark study of recent symbolic regression methods PatrykOrzechowski.html WilliamLaCava.html JasonHMoore.html
  85. 1 Palancz:2015:MG Correction of Gravimetric Geoid Using Symbolic Regression BelaPalancz.html JosephLAwange.html LajosVolgyesi.html
  86. 15 parent:2002:gecco Evolving Compression Preprocessors With Genetic Programming JohanParent.html AnnNowe.html
  87. 1 Rockett:2025:UKCI The Solution of Ordinary Differential Equations using Genetic Programming with Constant Tuning PeterIRockett.html
  88. 3 rodriguez-vazquez:2000:GPirms Use of Genetic Programming In The Identification Of Rational Model Structures KatyaRodriguez-Vazquez.html PeterJFleming.html
  89. 1 rooke:2001:CES Eons of Genetically Evolved Algorithmic Images StevenRooke.html
  90. 1 Ruiz-Ortega:2024:SciRep An evolutionary parsimonious approach to estimate daily reference evapotranspiration FranciscoJavierRuizOrtega.html EddieHelbertClementeTorres.html AliciaMartinezRebollar.html JoseJassonFloresPrieto.html
  91. 8 ryan:1995:paragen Automatic conversion of programs from serial to parallel using Genetic Programming - The Paragen System PaulJWalsh.html ConorRyan.html
  92. 21 Ryan:1998:FEA Grammatical Evolution: A Steady State Approach ConorRyan.html MichaelO'Neill.html
  93. 1 ryan:1999:aigp3 An Automatic Software Re-Engineering Tool based on Genetic Programming ConorRyan.html LaurIvan.html
  94. 17 salama:2025:GECCOcomp Leveraging Genetic Algorithm to Refine Genetic Programming-Evolved Dispatching Rules for Flexible Job Shop Scheduling ShadySalama.html MateKovacs.html
  95. 1 Serruto2019 Many-Objective Cooperative Co-evolutionary Linear Genetic Programming Applied to the Automatic Microcontroller Program Generation WildorFerrelSerruto.html LuisAlbertoAlfaroCasas.html
  96. silva:2003:gecco Dynamic Maximum Tree Depth SaraSilva.html JonasSAlmeida.html
  97. 1 Sousa:2022:evostarLBA Explaining Protein-Protein Interaction Predictions with Genetic Programming RitaTSousa.html SaraSilva.html CatiaLuisaSantanaCalistoPesquita.html
  98. 1 icga93-gp:stefanski Genetic Programming Using Abstract Syntax Trees PawelAStefanski.html
  99. 1 Telikani:2021:ACMComputSurv Evolutionary Machine Learning: A Survey AkbarTelikani.html AmirhessamTahmassebi.html WolfgangBanzhaf.html AHGandomi.html
  100. 3 99evmus Frankensteinian Methods for Evolutionary Music Composition PeterMTodd.html GregoryMWerner.html
  101. 2 tufts93 Parallel Case Evaluation for Genetic Programming PatrickTufts.html
  102. 7 vanbelle:2002:EuroGP Uniform Subtree Mutation TerryVanBelle.html DavidHAckley.html
  103. 27 Verma:2016:ICC Use genetic programming for selecting predictor variables and modeling in process identification DevendraVerma.html PurvaGoel.html VeenaPatil-Shinde.html SanjeevSTambe.html
  104. 6 Weerasinghe:2020:ICAC Real-Time Decision Optimization Platform for Airline Operations PSRWeerasinghe.html RAMDKRanasinghe.html MMVRBMahanthe.html PGCBSamarakoon.html WindhyaRankothge.html DharshanaKasthurirathna.html
  105. 2 Weimer:2009:ICES Automatically Finding Patches Using Genetic Programming WestleyWeimer.html ThanhVuNguyen.html ClaireLeGoues.html StephanieForrest.html
  106. 3 wen:2021:SichuanUniversity Application of Automated Machine Learning Based on Radiomics Features of T2WI and RS-EPI DWI to Predict Preoperative T Staging of Rectal Cancer Da-GuangWen.html Si-XianHu.html Zhen-LinLi.html Xiang-BingDeng.html ChuanTian.html XinLi2.html Xin-RongWang.html QiLeng.html Chun-ChaoXia.html
  107. 15 werner:2001:SIGKDD3 Genetic programming applied to gene location identification JamesCunhaWerner.html TerenceCFogarty.html
  108. 23 Woodward:2009:CI Exploring Hyper-heuristic Methodologies with Genetic Programming EdmundBurke.html MatthewRHyde.html GrahamKendall.html GabrielaOchoa.html EnderOzcan.html JohnRWoodward.html
  109. 7 DBLP:journals/alr/YusufSTS16 Evolving an emotion recognition module for an intelligent agent using genetic programming and a genetic algorithm RahadianYusuf.html DipakGaireSharma.html IvanTTanev.html KatsunoriShimohara.html
  110. 32 ZHANG:2023:engstruct Prediction of long-term prestress loss for prestressed concrete cylinder structures using machine learning HangZhang.html Quan-QuanGuo.html Li-YanXu.html
  111. 1 zonger:1996:lilgp lilgp 1.01 User's Manual DouglasZongker.html WilliamFPunch.html

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