Changes to Genetic Programing Bibliography since 2024/09/26

New and modified entries

New

  1. Segota-Sandi:2023:Industry4.0 Determining normalized friction torque of an industrial robotic manipulator using the symbolic regression method SandiBaressiSegota.html MrzljakVedran.html Prpic-OrsicJasna.html ZlatanCar.html
  2. bensoussan2024acceleratingquantumeigensolveralgorithms Accelerating Quantum Eigensolver Algorithms With Machine Learning AvnerBensoussan.html ElenaChachkarova.html KarineEven-Mendoza.html SophieFortz.html ConnorLenihan.html
  3. 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
  4. Buccheri:2024:JPT Appendicular Skeletal Muscle Mass in Older Adults Can Be Estimated With a Simple Equation Using a Few Zero-Cost Variables EnricoBuccheri.html DanieleDell'Aquila.html MarcoRusso.html RitaChiaramonte.html MicheleVecchio.html
  5. car:2021:SSM Determining inverse kinematics of a serial robotic manipulator through the use of genetic programming algorithm ZlatanCar.html SandiBaressiSegota.html NikolaAndelic.html IvanLorencin.html JelenaMusulin.html DanielStifanic.html VedranMrzljak.html
  6. Chang:2020:AIdrug Swarm and Evolutionary Intelligence MarkChang.html
  7. Crafa:2024:AJA Predictability of varicocele repair success: preliminary results of a machine learning-based approach AndreaCrafa.html MarcoRusso.html RossellaCannarella.html MuratGul.html MicheleCompagnone.html LauraMMongioi.html VittorioCannarella.html RositaACondorelli.html SandroLaVignera.html AldoECalogero.html
  8. Dell'Aquila:2024:EPJCONF Understanding heavy-ion fusion cross section data using novel artificial intelligence approaches DanieleDell'Aquila.html BrunildeGnoffo.html IvanoLombardo.html LuigiRedigolo.html FrancescoPorto.html MarcoRusso.html
  9. Espinal:2024:CyS Grammatical Evolution with Codons Selection Order as Intensification Process AndresEspinalJimenez.html MarcoAurelioSoteloFigueroa.html JorgeAlbertoSoria-Alcaraz.html
  10. pmlr-v238-sen-fong24a Multi-Level Symbolic Regression: Function Structure Learning for Multi-Level Data KeiSenFong.html MehulMotani.html
  11. Goodman:2024:sigevolution 21st Human-Competitive Results Awards (``Humies'') 2024 ErikGoodman.html
  12. Gupt:thesis Gupt:thesis KrishnKumarGupt.html
  13. Gupt:2024:fcomp A novel ML-driven test case selection approach for enhancing the performance of grammatical evolution KrishnKumarGupt.html MeghanaKshirsagar.html DouglasMotaDias.html JoeSullivan.html ConorRyan.html
  14. khattab2023dspycompilingdeclarativelanguage 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
  15. 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
  16. Kosorukov:2024:ASENIER Mining for Mutation Operators for Reduction of Information Flow Control Violations IlyaKosorukov.html DanielBlackwell.html DavidClark.html MyraBCohen.html JustynaPetke.html
  17. Lalejini:2022:eLife Artificial selection methods from evolutionary computing show promise for directed evolution of microbes AlexanderLalejini.html EmilyDolson.html AnyaEVostinar.html LuisZaman.html
  18. Langdon:2024:EI Sustaining Evolution for Shallow Embodied Intelligence WilliamBLangdon.html DanielHulme.html
  19. Li:2021:PoF Data-driven model development for large-eddy simulation of turbulence using gene-expression programing HaochenLi2.html YaominZhao.html JianchunWang.html RichardDSandberg.html
  20. Lourenco:thesis Enhancing Grammar-Based Approaches for the Automatic Design of Algorithms NunoLourenco.html
  21. Manahov:thesis An investigation of the behaviour of financial markets using agent-based computational models ViktorManahov.html
  22. Ombuki-Berman:2024:GPEM Leonardo Vanneschi and Sara Silva: lectures on intelligent systems BeatriceOmbuki-Berman.html
  23. pillay:2024:GECCOcomp Transfer Learning in Evolutionary Spaces NelishiaPillay.html
  24. Sipper:2021:SciRep Conservation machine learning: a case study of random forests MosheSipper.html JasonHMoore.html
  25. Spector:2024:GPEM Chief editorship transition LeeSpector.html LeonardoTrujillo.html

Modified

  1. 18 batista:2024:CEC M6GP: Multiobjective Feature Engineering JoaoEduardoBatista.html NunoMiguelRodriguesDomingos.html LeonardoVanneschi.html SaraSilva.html
  2. 2 Brownlee:2023:SSBSE Enhancing Genetic Improvement Mutations Using Large Language Models AlexanderEIBrownlee.html JamesCallan.html KarineEven-Mendoza.html AlinaGeiger.html CarolHanna.html JustynaPetke.html FedericaSarro.html DominikSobania.html
  3. 18 callan2023multiobjective Multi-Objective Improvement of Android Applications JamesCallan.html JustynaPetke.html
  4. 1 Thesis_Alberto_Cano New Classification Models through Evolutionary Algorithms AlbertoCanoRojas.html
  5. 1 christensen:2002:EuroGP An Analysis of Koza's Computational Effort Statistic for Genetic Programming SteffenChristensen.html FranzOppacher.html
  6. 2 icga85:cramer A representation for the Adaptive Generation of Simple Sequential Programs NichaelLynnCramer.html
  7. 1 Day:2008:TEC Binary String Fitness Characterization and Comparative Partner Selection in Genetic Programming PeterDay.html AsokeKNandi.html
  8. 1 dubey:2024:CEC Evolving Design For Engineering Structures RahulDubey.html SimonJohnHickinbotham.html EdgarBuchanan.html AndrewColligan.html ImeldaBriel.html MarkPrice.html AndrewMTyrrell.html
  9. 6 duffy:1999:CEF Using Symbolic Regression to Infer Strategies from Experimental Data JohnDuffy.html JimEngle-Warnick.html
  10. 1 ebner:1999:OSSGPIRNSS On the Search Space of Genetic Programming and Its Relation to Nature's Search Space MarcEbner.html
  11. 2 fajardo-delgado:2024:AS Genetic Programming to Remove Impulse Noise in Color Images DanielFajardo-Delgado.html AnselYRodriguez-Gonzalez.html SergioSandoval-Perez.html JesusEzequielMolinar-Solis.html MariaGuadalupeSanchez-Cervantes.html
  12. 1 fernando2023promptbreeder Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution ChrisanthaFernando.html DylanBanarse.html HenrykMichalewski.html SimonOsindero.html TimRocktaschel.html
  13. 1 FGGD06 Learning tactical human behavior through observation of human performance HansFernlund.html AvelinoJGonzalez.html MichaelGeorgiopoulos.html RonaldFDeMara.html
  14. 1 ferreira:2002:WSC Function Finding and the Creation of Numerical Constants in Gene Expression Programming CandidaFerreira.html
  15. 25 FERREIRA:2019:PICFCPD A Genetic Programming Approach for Construction of Surrogate Models JimenaFerreira.html MartinPedemonte.html AnaInesTorres.html
  16. 6 Gavrilis20081358 Selecting and constructing features using grammatical evolution DimitrisGavrilis.html IoannisGTsoulos.html EvangelosDermatas.html
  17. 1 Gruau:1994:thesis Neural Network Synthesis using Cellular Encoding and the Genetic Algorithm FredericGruau.html
  18. 10 conf/biostec/GuoZN08 Breast Cancer Detection using Genetic Programming HongGuo.html QingZhang.html AsokeKNandi.html
  19. 69 Guo:thesis Feature generation and dimensionality reduction using genetic programming HongGuo.html
  20. 1 He:2013:IJCAI Learning Optimal Auction Mechanism in Sponsored Search DiHe.html WeiChen.html LiweiWang.html Tie-yanLiu.html
  21. 4 Holladay:2007:icdsp Evolution of Signal Processing Algorithms using Vector Based Genetic Programming KennethLHolladay.html KayARobbins.html
  22. 1 1144067 Indirect co-evolution for understanding belief in an incomplete information dynamic game NanlinJin.html
  23. 5 Karpuzcu:gecco05ws Automatic Verilog Code Generation through Grammatical Evolution UlyaRahmetKarpuzcu.html
  24. 3 Kelly:thesis Scaling Genetic Programming to Challenging Reinforcement Tasks through Emergent Modularity StephenKelly.html
  25. 1 Koza:1992:GPgs Genetic evolution and co-evolution of game strategies JohnKoza.html
  26. 1 Koza:1992:lizrd Evolution of food foraging strategies for the Caribbean Anolis lizard using genetic programming JohnKoza.html JamesPRice.html JonathanRoughgarden.html
  27. 11 koza:1995:gendup Gene Duplication to Enable Genetic Programming to Concurrently Evolve Both the Architecture and Work-Performing Steps of a Computer Program JohnKoza.html
  28. 1 koza:1999:GPdim Genetic Programming as a Darwinian Invention Machine JohnKoza.html ForrestBennett.html OscarStiffelman.html
  29. LaCava:2020:GECCO Genetic Programming Approaches to Learning Fair Classifiers WilliamLaCava.html JasonHMoore.html
  30. 1 langdon:2010:jss Efficient multi-objective higher order mutation testing with genetic programming WilliamBLangdon.html MarkHarman.html YueJia.html
  31. 1 langdon:2019:GPEM Genetic Programming and Evolvable Machines at 20 WilliamBLangdon.html
  32. 9 langdon:2024:icga ``Lost Gems'' ICGA 1985: Proceedings of an International Conference on Genetic Algorithms and their Applications WilliamBLangdon.html
  33. 2 LI:2022:watres Implementing machine learning to optimize the cost-benefit of urban water clarifier geometrics HaochenLi.html JohnJSansalone.html
  34. 9 JinLi:thesis FGP: A genetic programming based tool for financial forecasting JinLi.html
  35. 22 Li:2015:ISCID Evolutionary Design of a Second-Order Butterworth Lowpass Filter YaoLi.html XuehuaZhang.html HongyuLiu.html
  36. 3 Liu:2010:ieeeTSE Evolutionary Optimization of Software Quality Modeling with Multiple Repositories YiLiu.html TaghiMKhoshgoftaar.html JimSeliya.html
  37. 1 Luo:2022:ESA An efficient genetic programming approach to design priority rules for resource-constrained project scheduling problem JingyuLuo.html MarioVanhoucke.html JoseCoelho.html WeikangGuo.html
  38. 1 mahboub:tel-00696675 Emotional processes modelling in decision making KarimMahboub.html
  39. 9 mcconaghy:2005:DATE CAFFEINE: Template-Free Symbolic Model Generation of Analog Circuits via Canonical Form Functions and Genetic Programming TrentMcConaghy.html TomEeckelaert.html GeorgesGEGielen.html
  40. 1 Miragaia:2018:evoApplications CGP4Matlab A Cartesian Genetic Programming MATLAB Toolbox for Audio and Image Processing RolandoMiragaia.html GustavoMiguelJorgedosReis.html FranciscoFernandezdeVega.html TiagoJoaoLeiteInacio.html CarlosGrilo.html
  41. 3 Miragaia:2020:SSCI Multi Pitch Estimation of Piano Music using Cartesian Genetic Programming with Spectral Harmonic Mask RolandoMiragaia.html GustavoMiguelJorgedosReis.html FranciscoFernandezdeVega.html FranciscoChavezdelaO.html
  42. 6 Moore:2007:HH Symbolic Modeling of Epistasis JasonHMoore.html NateBarney.html Chia-TiTsai.html Fu-TienChiang.html JiangGui.html BillCWhite.html
  43. 2 Nicolau:GPEM:funcset Choosing function sets with better generalisation performance for symbolic regression models MiguelNicolau.html AlexandrosAgapitos.html
  44. 15 Nunkesser:2008:gecco Analysis of a genetic programming algorithm for association studies RobinNunkesser.html
  45. 1 Nyathi_Thambo_2018 Automated design of genetic programming of classification algorithms ThamboNyathi.html
  46. 2 OReilly:1994:GPSAHC Program Search with a Hierarchical Variable Length Representation: Genetic Programming, Simulated Annealing and Hill Climbing Una-MayO'Reilly.html FranzOppacher.html
  47. 3 Patelli:2011:ICAC A regressive schema theory based tool for GP evolved nonlinear models AlinaPatelli.html LaviniaFerariu.html
  48. 2 Pinna:2024:EuroGP Enhancing Large Language Models-Based Code Generation by Leveraging Genetic Improvement GiovanniPinna.html DamianoRavalico.html LuigiRovito.html LucaManzoni.html AndreaDeLorenzo.html
  49. 1 randall:2022:SymReg Bingo: A Customizable Framework for Symbolic Regression with Genetic Programming DavidLRandall.html TylerSTownsend.html JacobDeanHochhalter.html GeoffreyFBomarito.html
  50. 7 ribeiro:2023:EPIA A Novel Federated Learning Approach to Enable Distributed and Collaborative Genetic Programming BrunoRibeiro.html LuisGomes.html ZitaVale.html
  51. 17 Ruiz-Ortega:2024:SciRep An evolutionary parsimonious approach to estimate daily reference evapotranspiration FranciscoJavierRuizOrtega.html EddieHelbertClementeTorres.html AliciaMartinezRebollar.html JoseJassonFloresPrieto.html
  52. 1 ryan:1998:geepal Grammatical Evolution: Evolving Programs for an Arbitrary Language ConorRyan.html JohnJamesCollins.html MichaelO'Neill.html
  53. 1 Samui:2020:IRMA Determination of Spatial Variability of Rock Depth of Chennai PijushSamui.html ViswanathanRamasamy.html JJagan.html PradeepUKurup.html
  54. 20 Sanchez:2017:ROPEC Semantic genetic operators based on a selection mechanism tailored for the root function ClaudiaNallelySanchezGomez.html MarioGraffGuerrero.html
  55. 22 Sarafopoulos:2003:hbca Evolutionary Algorithms in Modeling and Animation AnargyrosSarafopoulos.html BernardBuxton.html
  56. 9 Schmidhuber:1997:ML Shifting Inductive Bias with Success-Story Algorithm, Adaptive Levin Search, and Incremental Self-Improvement JurgenSchmidhuber.html JieyuZhao.html MarcoWiering.html
  57. 5 Shali:2007:ICMLA Using genetic programming for the induction of oblique decision trees AminShali.html MohammadRezaKangavari.html BaharehBina.html
  58. 1 ShetaAfeef2010 Software Effort Estimation for NASA Projects Using Genetic Programming AlaaSheta.html AlaaAl-Afeef.html
  59. 9 eurogp:ShichelZS05 GP-Robocode: Using Genetic Programming to Evolve Robocode Players YehonatanShichel.html EranZiserman.html MosheSipper.html
  60. 1 DissertationKonradSickel Computerized Automatic Modeling of Medical Prostheses KonradSickel.html
  61. 2 SaraSilva_11_2012 Bloat free genetic programming: application to human oral bioavailability prediction SaraSilva.html LeonardoVanneschi.html
  62. 1 Sourbier:thesis Learning-based Intrusion Detection: An imbalanced, constantly evolving and Timely Problem NicolasSourbier.html
  63. 7 Souza:TOSEM Software Product Line Engineering via Software Transplantation LeandroOliveiradeSouza.html EduardoSantanadeAlmeida.html PauloAnselmodaMotaSilveiraNeto.html EarlBarr.html JustynaPetke.html
  64. 2 push2-description Push 2.0 Programming Language Description LeeSpector.html ChristopherHPerry.html JonKlein.html
  65. 22 thi:2022:AIC Cartesian Genetic Programming: Some New Detections ThuongPhamThi.html
  66. 1 turing48:_intel Intelligent machinery AlanMTuring.html
  67. 1 Uusitalo:2024:GPEM Creative collaboration with interactive evolutionary algorithms: a reflective exploratory design study SeveriUusitalo.html AnnaKantosalo.html AnttiSalovaara.html TapioTakala.html ChristianGuckelsberger.html
  68. 1 VanVeldhuizen:thesis Multiobjective Evolutionary Algorithms: Classification, Analysis, and New Innovations DavidAVanVeldhuizen.html
  69. 5 Vassilev:thesis Fitness landscapes and search in the evolutionary design of digital circuits VesselinKVassilev.html
  70. 3 Weatheritt:thesis The Development of Data Driven Approaches to Further Turbulence Closures JackWeatheritt.html
  71. 3 Weimer:2009:ICES Automatically Finding Patches Using Genetic Programming WestleyWeimer.html ThanhVuNguyen.html ClaireLeGoues.html StephanieForrest.html
  72. 1 W2007GOEB Global Optimization Algorithms -- Theory Application ThomasWeise.html
  73. 2 White:2019:GPTP Modelling Genetic Programming as a Simple Sampling Algorithm DavidRobertWhite.html BenjaminFowler.html WolfgangBanzhaf.html EarlBarr.html
  74. 1 Yoo:2024:GI Executing One's Way out of the Chinese Room ShinYoo.html
  75. 14 CHI-2011-YuN Cooks or Cobblers? Crowd Creativity through Combination Lixiu_Lisa_Yu.html JeffreyVNickerson.html
  76. 3 Zhang:2020:EuroGPa Classification of Autism Genes using Network Science and Linear Genetic Programming YuZhang2.html YuanzhuChen.html TingHu.html

New and modified entries