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. FatemehMottaghian2023 Design and Optimization of Adhesively Bonded Joints Mating Novel 3D-Fiber Metal Laminates Subjected to Static and Dynamic In-plane and Out-of-plane Loadings FatemehMottaghian.html
  23. Munoz:2025:CyS Evolutive Layers in M3GP Basis for Symbolic Deep Learning Models LuisMunozDelgado.html
  24. 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
  25. nicolau06d Genetic Algorithms using Grammatical Evolution MiguelNicolau.html
  26. Nicolau:2008:cec Evolving Scale-Free Topologies Using a Gene Regulatory Network Model MiguelNicolau.html MarcSchoenauer.html
  27. Nicolau:2015:EURO Moving Towards Big Data Scalability with the Grammatical Evolution System MiguelNicolau.html
  28. Nicolau:2016:EURO Designing a Massive Dataset Framework for the Grammatical Evolution System MiguelNicolau.html
  29. Pike:2025:evostarLBA Image classification by evolving bytecode HamishNichollCathcartPike.html
  30. Ramachandran:mastersthesis After architecture : charting a new course GirishRamachandran.html
  31. 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
  32. silva2003gplab GPLAB -- A Genetic Programming Toolbox for MATLAB SaraSilva.html JonasSAlmeida.html
  33. Sohrabi:2024:IJMT Frequency Domain Optimization of Homogeneous Anechoic Multi-Layers Using Genetic Programming SayedHamidSohrabi.html SaeedParsamehr.html AmirKarimi.html
  34. DBLP:journals/pacmse/AmayaSZ25 FANDANGO: Evolving Language-Based Testing JoseAntonioZamudioAmaya.html MariusSmytzek.html AndreasZeller.html
  35. 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. 4 Briggs:2006:ASPGP Functional Genetic Programming with Combinators ForrestSBriggs.html MelissaEO'Neill.html
  22. 11 Brooks92RR9 Artificial Life and Real Robots RodneyABrooks.html
  23. 1 bruce:1997:lprsbGPADF The Lawnmower Problem Revisited: Stack-Based Genetic Programming and Automatically Defined Functions WilkerShaneBruce.html
  24. 21 CESKA:2022:SEC SagTree: Towards efficient mutation in evolutionary circuit approximation MilanCeska.html JiriMatyas.html VojtechMrazek.html LukasSekanina.html ZdenekVasicek.html TomasVojnar.html
  25. 1 Chamani_Hooman_2021_thesis Pore Wetting in Desalination of Brine Using Membrane Distillation Process HoomanChamani.html
  26. 16 Cornforth:2012:GECCO Symbolic regression of multiple-time-scale dynamical systems TheodoreWCornforth.html HodLipson.html
  27. 4 Cornforth:thesis Data-Driven, Free-Form Modeling Of Biological Systems TheodoreWCornforth.html
  28. 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
  29. 1 Dakhama:2025:SSBSE GreenMalloc: Allocator Optimisation for Industrial Workloads AidanDakhama.html WilliamBLangdon.html HectorMenendez.html KarineEven-Mendoza.html
  30. 27 DeFalco:2000:GECCO A Kolmogorov Complexity-based Genetic Programming tool for string compression IvanoeDeFalco.html AIazzetta.html ErnestoTarantino.html AntonioDellaCioppa.html GiuseppeTrautteur.html
  31. 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
  32. 1 ding:2022:LEOL Lexicase Selection at Scale LiDing.html RyanBoldi.html ThomasHelmuth.html LeeSpector.html
  33. 3 downing:2001:gecco Adaptive Genetic Programs via Reinforcement Learning KeithLDowning.html
  34. 8 edmonds:2001:MUC Learning Appropriate Contexts BruceEdmonds.html
  35. 1 Ferrari:2022:ICDM Multi-Objective Symbolic Regression for Data-Driven Scoring System Management DavideFerrari.html VeronicaGuidetti.html FedericaMandreoli.html
  36. 1 francone:manual Discipulus Owner's Manual FrankDFrancone.html
  37. 29 Frankland:2015:CEC Evolving game playing strategies for Othello CliveFrankland.html NelishiaPillay.html
  38. 31 FRANKLIN:2022:OM On the runup parameterisation for reef-lined coasts GemmaLFranklin.html AlecTorres-Freyermuth.html
  39. 2 Fuchs:1997:spclGP Solving Problems of Combinatory Logic with Genetic Programming MatthiasFuchs.html DirkFuchs.html MarcFuchs.html
  40. 3 fuchs:1998:xmetsc Crossover versus Mutation: An Empirical and Theoretical Case Study MatthiasFuchs.html
  41. 12 fuchs:1999:LPANATBCIGP Large Populations Are Not Always The Best Choice In Genetic Programming MatthiasFuchs.html
  42. 1 garces-perez:1996:sflp Solving Facility Layout Problems Using Genetic Programming JaimeGarces-Perez.html DaleASchoenefeld.html RogerLWainwright.html
  43. 2 Gervasi:2019:EuroGP A Genetic Programming Approach to Predict Mosquitoes Abundance RiccardoGervasi.html IreneAzzali.html DonalBisanzio.html MarioGiacobini.html AndreaMosca.html LuigiBertolotti.html
  44. 1 Giustolisi:2004:JH Using genetic programming to determine Chezy resistance coefficient in corrugated channels OrazioGiustolisi.html
  45. 1 DBLP:journals/tcs/GruauRW95 A Neural Compiler FredericGruau.html Jean-YvesRatajszczak.html GillesWiber.html
  46. 1 Guadalupe-Hernandez:thesis Beyond benchmarks suites: engineering diagnostic tools to characterize selection schemes JoseGuadalupeHernandez.html
  47. 1 Hasan:2025:evoapplications Grammatical Feature Construction for Enhanced Interpretability in Breast Cancer Classification YumnahHasan.html AllanDanilodeLima.html DarianReyesFernandezdeBulnes.html DouglasMotaDias.html ConorRyan.html
  48. 1 Hauptman:thesis Evolving Search Heuristics for Combinatorial Games with Genetic Programming AmiHauptman.html
  49. 1 Heywood:2025:GPTP Offline reinforcement learning: A new challenge for symbolic regression? BryceMacInnis.html MalcolmHeywood.html
  50. 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
  51. 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
  52. 1 igel:1999:IIDDGCFGP Investigating the Influence of Depth and Degree of Genotypic Change on Fitness in Genetic Programming ChristianIgel.html KumarChellapilla.html
  53. 1 Javed:book Techniques for Context-Free Grammar Induction and Applications: Application of novel inference algorithms to software maintenance problems FaizanJaved.html
  54. 18 kattan08:_gp_zip Evolutionary Lossless Compression with GP-ZIP AhmedKattan.html RiccardoPoli.html
  55. 2 Kattan:thesis Evolutionary Synthesis of Lossless Compression Algorithms: the GP-zip Family AhmedKattan.html
  56. 2 Kattan:2011:GPEM Evolution of human-competitive lossless compression algorithms with GP-zip2 AhmedKattan.html RiccardoPoli.html
  57. 5 icnn93:kinnear Evolving a Sort: Lessons in Genetic Programming KennethEKinnearJr.html
  58. 3 Korns:2015:hbgpa Trading Volatility Using Highly Accurate Symbolic Regression MichaelKorns.html
  59. 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
  60. 7 koza:2003:scientific_american Evolving Inventions JohnKoza.html MartinAKeane.html MatthewJStreeter.html
  61. 1 PhD-Thesis-E18SOE822-Arvind-Final-signed Unbalanced data classification Using genetic programming ArvindKumar.html
  62. 5 Kumar:2012:IJSCE Classification Rule Discovery for Diabetes Patients by Using Genetic Programming RajKumar2.html RajeshKVerma.html
  63. 4 Langdon:1997:bloatMUTet Fitness Causes Bloat: Mutation WilliamBLangdon.html RiccardoPoli.html
  64. 4 langdon:2009:gecco2 Multi Objective Higher Order Mutation Testing with GP WilliamBLangdon.html MarkHarman.html YueJia.html
  65. 3 langdon:2009:TAICPART Multi Objective Mutation Testing with Genetic Programming WilliamBLangdon.html MarkHarman.html YueJia.html
  66. 2 langdon:2010:jss Efficient multi-objective higher order mutation testing with genetic programming WilliamBLangdon.html MarkHarman.html YueJia.html
  67. 2 langdon:2020:cec Genetic Improvement of Genetic Programming WilliamBLangdon.html
  68. 5 Langdon:2025:evostarLBA gem5/Z3/gcc/Clang/Redis glibc Heap Fitness Landscapes WilliamBLangdon.html JustynaPetke.html DavidClark.html
  69. 4 Li:gecco05lbp Prefix Gene Expression Programming XinLi.html ChiZhou.html WeiminXiao.html PeterCNelson.html
  70. 19 lillo:2025:GECCOcomp Heterosis-Based Crossover: Leveraging Structural Differences to Control Diversity and Bloat in Genetic Programming LuteLillo.html NickCheney.html
  71. 1 Lin:2023:ICDMW Enhancing Interpretability in AI-Generated Image Detection with Genetic Programming MingqianLin.html LinShang.html Xiaoying_Sharon_Gao.html
  72. 1 Liu:2018:evoApplications Adapting Bagging and Boosting to Learning Classifier Systems YiLiu2.html WillNBrowne.html BingXue.html
  73. 1 1068304 Evaluating GP schema in context HammadMajeed.html ConorRyan.html RMuhammadAtifAzad.html
  74. 26 MANAHOV:2021:IRFA The efficiency of Bitcoin: A strongly typed genetic programming approach to smart electronic Bitcoin markets ViktorManahov.html AndrewUrquhart.html
  75. 1 Mashiane:2014:PRASA Genetic Programming for Password Cracking, Phase One: Grammar Induction ThulaniMashiane.html NelishiaPillay.html
  76. 1 MCDERMOTT201641 Diagnosing a disorder in a classification benchmark JamesMcDermott.html RichardForsyth.html
  77. 6 Miikkulainen:2020:GECCOcomp Evolution of Neural Networks RistoMiikkulainen.html
  78. 1 510373 The genetic algorithm as a discovery engine: strange circuits and new principles JulianFMiller.html TatianaKalganova.html DominicJob.html NataliaGLipnitskaya.html
  79. 8 KumarBentley2003 Evolving the program for a cell: from French flags to Boolean circuits JulianFMiller.html WolfgangBanzhaf.html
  80. 30 MOTTAGHIAN:2023:compscitech Machine learning/finite element analysis - A collaborative approach for predicting the axial impact response of adhesively bonded joints with unique sandwich composite adherends FatemehMottaghian.html FaridTaheri.html
  81. 5 neely:2006-046 The adaptive markets hypothesis: evidence from the foreign exchange market ChristopherJNeely.html PaulAWeller.html JoshuaMUlrich.html
  82. 1 Ni:2012:ieeeTEC The Use of an Analytic Quotient Operator in Genetic Programming JiNi.html RussHDrieberg.html PeterIRockett.html
  83. 4 Nicolau2009137 On the evolution of scale-free topologies with a gene regulatory network model MiguelNicolau.html MarcSchoenauer.html
  84. 8 Nicolau:2016:TCIAIG Evolutionary Behavior Tree Approaches for Navigating Platform Games MiguelNicolau.html DiegoPerez-Liebana.html MichaelO'Neill.html AnthonyBrabazon.html
  85. 7 Olson:2019:autoML TPOT: A Tree-Based Pipeline Optimization Tool for Automating Machine Learning RandalSOlson.html JasonHMoore.html
  86. 2 oreilly:1998:piefdsDRAFT Evolution as a design strategy for non-linear architecture: Generative modeling of 3D surfaces Una-MayO'Reilly.html GirishRamachandran.html
  87. 4 oreilly:1998:piefds A Preliminary Investigation of Evolution as a Form Design Strategy Una-MayO'Reilly.html GirishRamachandran.html
  88. 1 Orzechowski:2018:GECCO Where are we now?: a large benchmark study of recent symbolic regression methods PatrykOrzechowski.html WilliamLaCava.html JasonHMoore.html
  89. 1 Palancz:2015:MG Correction of Gravimetric Geoid Using Symbolic Regression BelaPalancz.html JosephLAwange.html LajosVolgyesi.html
  90. 15 parent:2002:gecco Evolving Compression Preprocessors With Genetic Programming JohanParent.html AnnNowe.html
  91. 1 Rockett:2025:UKCI The Solution of Ordinary Differential Equations using Genetic Programming with Constant Tuning PeterIRockett.html
  92. 3 rodriguez-vazquez:2000:GPirms Use of Genetic Programming In The Identification Of Rational Model Structures KatyaRodriguez-Vazquez.html PeterJFleming.html
  93. 1 rooke:2001:CES Eons of Genetically Evolved Algorithmic Images StevenRooke.html
  94. 1 Ruiz-Ortega:2024:SciRep An evolutionary parsimonious approach to estimate daily reference evapotranspiration FranciscoJavierRuizOrtega.html EddieHelbertClementeTorres.html AliciaMartinezRebollar.html JoseJassonFloresPrieto.html
  95. 8 ryan:1995:paragen Automatic conversion of programs from serial to parallel using Genetic Programming - The Paragen System PaulJWalsh.html ConorRyan.html
  96. 21 Ryan:1998:FEA Grammatical Evolution: A Steady State Approach ConorRyan.html MichaelO'Neill.html
  97. 1 ryan:1999:aigp3 An Automatic Software Re-Engineering Tool based on Genetic Programming ConorRyan.html LaurIvan.html
  98. 17 salama:2025:GECCOcomp Leveraging Genetic Algorithm to Refine Genetic Programming-Evolved Dispatching Rules for Flexible Job Shop Scheduling ShadySalama.html MateKovacs.html
  99. 1 Serruto2019 Many-Objective Cooperative Co-evolutionary Linear Genetic Programming Applied to the Automatic Microcontroller Program Generation WildorFerrelSerruto.html LuisAlbertoAlfaroCasas.html
  100. silva:2003:gecco Dynamic Maximum Tree Depth SaraSilva.html JonasSAlmeida.html
  101. 1 Sousa:2022:evostarLBA Explaining Protein-Protein Interaction Predictions with Genetic Programming RitaTSousa.html SaraSilva.html CatiaLuisaSantanaCalistoPesquita.html
  102. 1 icga93-gp:stefanski Genetic Programming Using Abstract Syntax Trees PawelAStefanski.html
  103. 1 Telikani:2021:ACMComputSurv Evolutionary Machine Learning: A Survey AkbarTelikani.html AmirhessamTahmassebi.html WolfgangBanzhaf.html AHGandomi.html
  104. 3 99evmus Frankensteinian Methods for Evolutionary Music Composition PeterMTodd.html GregoryMWerner.html
  105. 2 tufts93 Parallel Case Evaluation for Genetic Programming PatrickTufts.html
  106. 7 vanbelle:2002:EuroGP Uniform Subtree Mutation TerryVanBelle.html DavidHAckley.html
  107. 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
  108. 6 Weerasinghe:2020:ICAC Real-Time Decision Optimization Platform for Airline Operations PSRWeerasinghe.html RAMDKRanasinghe.html MMVRBMahanthe.html PGCBSamarakoon.html WindhyaRankothge.html DharshanaKasthurirathna.html
  109. 2 Weimer:2009:ICES Automatically Finding Patches Using Genetic Programming WestleyWeimer.html ThanhVuNguyen.html ClaireLeGoues.html StephanieForrest.html
  110. 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
  111. 15 werner:2001:SIGKDD3 Genetic programming applied to gene location identification JamesCunhaWerner.html TerenceCFogarty.html
  112. 2 WoodwardB:2009:GEC Canonical representation genetic programming JohnRWoodward.html RuibinBai.html
  113. 23 Woodward:2009:CI Exploring Hyper-heuristic Methodologies with Genetic Programming EdmundBurke.html MatthewRHyde.html GrahamKendall.html GabrielaOchoa.html EnderOzcan.html JohnRWoodward.html
  114. 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
  115. 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
  116. 1 zonger:1996:lilgp lilgp 1.01 User's Manual DouglasZongker.html WilliamFPunch.html

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