Changes to Genetic Programing Bibliography since 2025/06/22

New

1. Aldeia:2025:SymReg Call for Action: towards the next generation of symbolic regression benchmark GuilhermeSeidyoImaiAldeia.html HengzheZhang.html GeoffreyFBomarito.html MilesCranmer.html AlcidesFonseca.html BogdanBurlacu.html WilliamLaCava.html FabricioOlivettideFranca.html
2. Ali:2023:SNCS Dynamic Grammar Pruning for Program Size Reduction in Symbolic Regression MuhammadSarmadAli.html MeghanaKshirsagar.html EnriqueNaredo.html ConorRyan.html
3. anthes:2025:GECCO Transformer Semantic Genetic Programming for Symbolic Regression PhilippAnthes.html DominikSobania.html FranzRothlauf.html
4. bai:2025:GECCO Multi-Objective Genetic Programming for Imbalanced Classification with Adaptive Thresholds and a New Fitness Function MinghuiBai.html Xiaoying_Sharon_Gao.html JiaxinNiu.html JianbinMa.html
5. bakurov:2025:GECCO A comparison of tournament and lexicase selection paradigms in regression problems: error-based fitness versus correlation fitness IllyaBakurov.html AidanMurphy.html CharlesOfria.html WolfgangBanzhaf.html
6. Chavez:2018:IJHPCA Deploying massive runs of evolutionary algorithms with ECJ and Hadoop: Reducing interest points required for face recognition FranciscoChavezdelaO.html FranciscoFernandezdeVega.html DanielLanzaGarcia.html CesarBenavides.html JuanVillegas-Cortez.html LeonardoTrujillo.html GustavoOlague.html GracielaRoman.html
7. chitty:2025:GECCO Ensemble Phased Genetic Programming for Roundabout Turn Restriction Prediction DarrenMChitty.html AyahHelal.html SarehRowlands.html CraigWillis.html ChristopherUnderwood.html EdKeedwell.html
8. craine:2025:GECCO Uniform Projection of Program Space Geometry for Genetic Improvement of Software BenjaminJCraine.html BarryPorter.html
9. de-la-torre:2025:GECCO Evolution of Inherently Interpretable Visual Control Policies CamiloDeLaTorre.html GiorgiaNadizar.html YuriLavinas.html HerveLuga.html DennisGWilson.html SylvainCussat-Blanc.html
10. de-franca:2025:GECCO rEGGression: an Interactive and Agnostic Tool for the Exploration of Symbolic Regression Models FabricioOlivettideFranca.html GabrielKronberger.html
11. de-franca:2025:GECCO2 Improving Genetic Programming for Symbolic Regression with Equality Graphs FabricioOlivettideFranca.html GabrielKronberger.html
12. doz:2025:GECCO Evolutionary Synthesis of Probabilistic Programs RominaDoz.html FrancescaRandone.html EricMedvet.html LucaBortolussi.html
13. dunn:evows05 Automated Photogrammetric Network Design using the Parisian Approach EnriqueDunn.html GustavoOlague.html EvelyneLutton.html
14. harn:2025:GECCO Evolutionary Quadtree Pooling for Convolutional Neural Networks Po-WeiHarn.html BoHui.html LiboSun.html Wei-ShinnKu.html
15. hu:2025:GECCO How Neutrality Shapes Evolution: Simplicity Bias and Search TingHu.html WolfgangBanzhaf.html GabrielaOchoa.html
16. kubalik:2025:GECCO Neuro-Evolutionary Approach to Physics-Aware Symbolic Regression JiriKubalik.html RobertBabuska.html
17. Langdon:2025:UKCI A Genetic Improvement Parameter Benchmark: rand\_malloc.c WilliamBLangdon.html
18. Langdon:2025:IMOL Open-Ended Evolution with Linear Genetic Programming WilliamBLangdon.html
19. llamazares-lopez:2025:GECCO Unveiling the dynamics of NOx pollution in internal combustion engines by Structured Grammatical Evolution MarcosLlamazaresLopez.html DanielParraRodriguez.html JoseManuelVelascoCabo.html OscarGarnica.html RafaelJacintoVillanuevaMico.html JoseIgnacioHidalgoPerez.html
20. lunet:2025:GECCO Symbolic Pricing Policies for Attended Home Delivery - the Case of an Online Retailer MiguelLunet.html DanielaFernandes.html FabioNeves-Moreira.html PedroSanchesAmorim.html
21. Machado:2025:GPEMeditor Editorial Introduction to the Special Issue on Evolutionary Computation in Art, Music and Design PenousalMachado.html JuanJesusRomeroCardalda.html
22. Medvet:2025:GPEMrobot Quality-Diversity in Problems with Composite Solutions: a Case Study on Body-Brain Robot Optimization EricMedvet.html SamueleLippolis.html GiorgiaNadizar.html
23. megane:2025:GECCO Contribution of Probabilistic Structured Grammatical Evolution to efficient exploration of the search space. A case study in glucose prediction JessicaMegane.html NunoLourenco.html JoseIgnacioHidalgoPerez.html PenousalMachado.html
24. Mohammed:2024:JMCEE Investigation of Hybrid Intelligence Models to Optimize Cement Kiln Content Based on the Failure Stress, Chemical Composition, and Loss on Ignition of Mortar AhmedSalihMohammed.html AsoAAbdalla.html RawazKurda.html WarzerSarwarQadir.html WaelMahmood.html KawanGhafor.html
25. morales-paredes:2025:GECCO2 Automatic Design of Specialized Variation Operators for the Multi-Objective Quadratic Assignment Problem AdrianIsaiMorales-Paredes.html JulioJuarez.html JesusGuillermoFalcon-Cardona.html HugoTerashima-Marin.html CarlosArtemioCoelloCoello.html
26. nemeth:2025:GECCO Reaching Meaningful Diversity with Speciation-Novelty in Genetic Improvement for Software ZsoltNemeth.html PenelopeFaulknerRainford.html BarryPorter.html
27. 1144030 Parisian evolution with honeybees for three-dimensional reconstruction GustavoOlague.html CesarPuente.html
28. pang:2025:GECCO A Multiform Many-Objective Genetic Programming Method for Dynamic Flexible Job Shop Scheduling JunweiPang.html YiMei.html MengjieZhang.html
29. rosenfeld:2025:GECCO Slim-gsgp: A Python Library for Non-Bloating GSGP LiahRosenfeld.html DavideFarinati.html DiogoRasteiro.html GloriaPietropolli.html KarinaBrottoRebuli.html SaraSilva.html LeonardoVanneschi.html
30. rovito:2025:GECCO Interpretable Non-linear Survival Analysis with Evolutionary Symbolic Regression LuigiRovito.html MarcoVirgolin.html
31. shi:2025:GECCO Analysis of Memory-Runtime Trade-offs in Caching Strategies for Genetic Programming Symbolic Regression JiamingShi.html KeiSenFong.html MehulMotani.html
32. simoes:2025:GECCO Desire-Driven Selection: An Epigenetic Experiment in Genetic Programming JoseMariadaCostaSimoes.html NunoLourenco.html PenousalMachado.html
33. tan:2025:GECCO PGU-SGP: A Pheno-Geno Unified Surrogate Genetic Programming For Real-life Container Terminal Truck Scheduling LeshanTan.html ChenweiJin.html XinanChen.html RongQu.html RuibinBai.html
34. teixeira:2025:GECCO Transformers as Surrogate Models for Genetic Programming in AutoML Tasks MatheusCandidoTeixeira.html GiseleLPappa.html
35. tran:2025:GECCO An Online Genetic Programming Approach to Dynamic Production Scheduling BinhNganTran.html SuNguyen.html
36. vacher:2025:GECCO MAPLE: Multi-Action Programs through Linear Evolution for Continuous Multi-Action Reinforcement Learning QuentinVacher.html StephenKelly.html AliNaqvi.html NicolasBeuve.html TanyaDjavaherpour.html MickaelDardaillon.html KarolDesnos.html
37. vella-zarb:2025:GECCO Program Synthesis with LLM-Predicted Minimal Specialized Grammars DavidVellaZarb.html GeoffParks.html TimoleonKipouros.html
38. vitel:2025:GECCO Coordinate System Extraction as the Search Driver in Test-Based Genetic Programming DmytroVitel.html KokChengTan.html AlessioGaspar.html RPaulWiegandIII.html
39. xu:2025:GECCO2 Quality Diversity Genetic Programming for Learning Scheduling Heuristics MengXu.html FrankNeumann.html AnetaNeumann.html Yew-SoonOng.html

Modified

1. 3 Abdullah:thesis Android Malware Detection System using Genetic Programming NorlizaBintiAbdullah.html
2. 10 azzolini:2025:ML Learning answer set programs with aggregates via sampling and genetic programming DamianoAzzolini.html
3. 22 baeta:2024:GECCOcomp Exploring Evolutionary Generators within Generative Adversarial Networks FranciscoBaeta.html JoaoNunoGoncalvesCostaCavaleiroCorreia.html TiagoMartins.html PenousalMachado.html
4. 1 ceg_baptist_20050418 Modelling floodplain biogeomorphology MartinJBaptist.html
5. 34 blot:2025:ACMsurveys A Comprehensive Survey of Benchmarks for Improvement of Software's Non-Functional Properties AymericBlot.html JustynaPetke.html
6. 3 blot:2025:GI 14th International Workshop on Genetic Improvement @ICSE 2025 AymericBlot.html VesnaNowack.html PenelopeFaulknerRainford.html OliverKrauss.html
7. 3 Blot_magpie:2025:GI Automated Software Performance Improvement with Magpie AymericBlot.html
8. 5 bose:2025:GI Enhancing Software Runtime with Reinforcement Learning-Driven Mutation Operator Selection in Genetic Improvement DamienBose.html CarolHanna.html JustynaPetke.html
9. 4 bouras:2025:GI LLM-Assisted Crossover in Genetic Improvement of Software DimitriosStamatiosBouras.html JustynaPetke.html SergeyMechtaev.html
10. 1 Brownlee:2019:GECCO Gin: genetic improvement research made easy AlexanderEIBrownlee.html JustynaPetke.html BradAlexander.html EarlBarr.html MarkusWagner.html DavidRobertWhite.html
11. 1 Bruce:RN1804 Towards automatic generation and insertion of OpenACC directives BobbyRBruce.html JustynaPetke.html
12. 17 card:2004:gsw:swcar Time Series Prediction by Genetic Programming with Relaxed Assumptions in Mathematica StuCard.html
13. 3 1144254 Ensemble selection for evolutionary learning using information theory and Price's theorem StuCard.html ChilukuriKMohan.html
14. 6 chan:2025:GI A Three-Stage Genetic Algorithm for Compiler Flag and Library Version Selection to Minimize Execution Time ChiHoChan.html SpyroNita.html
15. 22 Clemente:evoapps12 Object Recognition with an Optimized Ventral Stream Model Using Genetic Programming EddieHelbertClementeTorres.html GustavoOlague.html LeonDozal.html MartinMancilla.html
16. 22 Clemente:2013:GECCO Self-adjusting focus of attention by means of GP for improving a laser point detection system EddieHelbertClementeTorres.html FranciscoChavezdelaO.html LeonDozal.html FranciscoFernandezdeVega.html GustavoOlague.html
17. 25 Clemente:2015:ASC Self-adjusting focus of attention in combination with a genetic fuzzy system for improving a laser environment control device system EddieHelbertClementeTorres.html FranciscoChavezdelaO.html FranciscoFernandezdeVega.html GustavoOlague.html
18. 22 Crary:2024:GPTP It's Time to Revisit the Use of FPGAs for Genetic Programming ChristopherCCrary.html GregStitt.html BogdanBurlacu.html WolfgangBanzhaf.html
19. 1 DBLP:journals/corr/abs-2403-14139 Genetic Programming for Explainable Manifold Learning BenCravens.html AndrewLensen.html PaulaMaddigan.html BingXue.html
20. 26 Cravens:TETCI Genetic Programming for Explainable Manifold Learning BenCravens.html AndrewLensen.html PaulaMaddigan.html BingXue.html
21. 1 deFranca:2022:GECCO Transformation-Interaction-Rational Representation for Symbolic Regression FabricioOlivettideFranca.html
22. 1 deFranca:2023:GPEM Alleviating overfitting in transformation-interaction-rational symbolic regression with multi-objective optimization FabricioOlivettideFranca.html
23. 1 deFranca:ieeeTEC SRBench++: Principled Benchmarking of Symbolic Regression With Domain-Expert Interpretation FabricioOlivettideFranca.html MarcoVirgolin.html MichaelKommenda.html MaimunaMajumder.html MilesCranmer.html GuilhermeJorgeNunesMonteiroEspada.html LeonIngelse.html AlcidesFonseca.html MikelLandajuela.html BrendenKylePetersen.html RubenGlatt.html TNathanMundhenk.html ChakShingLee.html JacobDeanHochhalter.html DavidLRandall.html Pierre-AlexandreKamienny.html HengzheZhang.html GrantDick.html AlessandroSimon.html BogdanBurlacu.html JaanKasak.html MeeraMachado.html CasperWilstrup.html WilliamLaCava.html
24. 1 jong:2001:gecco Reducing Bloat and Promoting Diversity using Multi-Objective Methods EdwinDdeJong.html RichardAWatson.html JordanBPollack.html
25. 28 DUMIC:2022:cie Using priority rules for resource-constrained project scheduling problem in static environment MatejaDumic.html DomagojJakobovic.html
26. 6 Dunn20061209 Parisian camera placement for vision metrology EnriqueDunn.html GustavoOlague.html EvelyneLutton.html
27. 20 fernandez:2001:gecco A new methodology for the Placement and Routing problem based on PADGP FranciscoFernandezdeVega.html JuanManuelSanchezPerez.html MarcoTomassini.html
28. 4 Fernandez:2013:NC Customizable execution environments for evolutionary computation using BOINC + virtualization FranciscoFernandezdeVega.html GustavoOlague.html LeonardoTrujillo.html DanielLombranaGonzalezRodriguez.html
29. 3 Garcia-Valdez:2015:grid The EvoSpace Model for Pool-Based Evolutionary Algorithms MarioGarcia-Valdez.html LeonardoTrujillo.html JuanJulianMerelo.html FranciscoFernandezdeVega.html GustavoOlague.html
30. 3 Gonzalez:2008:ibergrid Interpreted Applications within BOINC Infrastructure DanielLombranaGonzalezRodriguez.html FranciscoFernandezdeVega.html LeonardoTrujillo.html GustavoOlague.html MiguelCardenasMontes.html LourdesAraujo.html PedroACastilloValdivieso.html KennethCSharman.html ArlindoFerreiradaSilva.html
31. 4 Gonzalez:2009:PDP Increasing GP Computing Power for Free via Desktop GRID Computing and Virtualization DanielLombranaGonzalezRodriguez.html FranciscoFernandezdeVega.html LeonardoTrujillo.html GustavoOlague.html LourdesAraujo.html PedroACastilloValdivieso.html JuanJulianMerelo.html KennethCSharman.html
32. 6 Gubina:2024:NIPS Hybrid Generative AI for De Novo Design of Co-Crystals with Enhanced Tabletability NinaGubina.html AndreiDmitrenko.html GlebSolovev.html LyubovYamshchikova.html OlegPetrov.html IvanLebedev.html NikitaSerov.html GrigoriiKirgizov.html NikolayONikitin.html VladimirVinogradov.html
33. 5 gustafson:2004:phdthesis An Analysis of Diversity in Genetic Programming StevenMGustafson.html
34. 1 gustafson:2004:GPEM Problem Difficulty and Code Growth in Genetic Programming StevenMGustafson.html AnikoEkart.html EdmundBurke.html GrahamKendall.html
35. 1 Handley:1994:DAGpcp On the use of a directed acyclic graph to represent a population of computer programs SimonGHandley.html
36. 3 1274068 Genetically programmed learning classifier system description and results GregoryAnthonyHarrison.html EricWWorden.html
37. 28 Hasan:2025:evoapplications Grammatical Feature Construction for Enhanced Interpretability in Breast Cancer Classification YumnahHasan.html AllanDanilodeLima.html DarianReyesFernandezdeBulnes.html DouglasMotaDias.html ConorRyan.html
38. 2 Hassan:2025:evoapplications Designing Hardware-Friendly Hash Functions for Network Security Using Cartesian Genetic Programming MujtabaHassan.html JoVliegen.html StjepanPicek.html NeleMentens.html
39. 18 Helmuth:2015:GECCO General Program Synthesis Benchmark Suite ThomasHelmuth.html LeeSpector.html
40. 2 Javed:2022:DMKD Simplification of genetic programs: a literature survey NomanJaved.html FernandGobet.html PeterCRLane.html
41. 34 JIA:2020:CI Metal-doped bioceramic nanopowders with tunable structural properties aimed at enhancing bone density: Rapid synthesis and modeling BinJia.html DingjunHao.html FengQiao.html XiaoqingZhou.html YumingZhang.html MohsenMesbah.html AlirezaFallahpour.html BahmanNasiri-Tabrizi.html TaoWang.html
42. 1 RePEc:sce:scecf3:97 Genetic Programming Software to Forecast Time Series MahmoudAKaboudan.html
43. 1 Kinnear:Koza:1994:adf Scalable learning in genetic programming using automatic function definition JohnKoza.html
44. 1 koza:1994:SandC Genetic programming as a means for programming computers by natural selection JohnKoza.html
45. 1 LaCava:2025:GPEM A review of ``Symbolic Regression'' by Gabriel Kronberger, Bogdan Burlacu, Michael Kommenda, Stephan M. Winkler, and Michael Affenzeller, ISBN 978-1-138-05481-3, 2024, CRC Press WilliamLaCava.html
46. 1 langdon:2022:trillion A Trillion Genetic Programming Instructions per Second WilliamBLangdon.html
47. 1 Langdon:2025:evostarLBA gem5/Z3/gcc/Clang/Redis glibc Heap Fitness Landscapes WilliamBLangdon.html JustynaPetke.html DavidClark.html
48. 4 langdon:2025:GI The gem5 C++ glibc Heap Fitness Landscape WilliamBLangdon.html BobbyRBruce.html
49. 1 Leach:2019:GI Evolutionary Computation for Improving Malware Analysis KevinLeach.html RyanDougherty.html ChadSpensky.html StephanieForrest.html WestleyWeimer.html
50. 16 Machado:2022:GPTP GP-Based Generative Adversarial Models PenousalMachado.html FranciscoBaeta.html TiagoMartins.html JoaoNunoGoncalvesCostaCavaleiroCorreia.html
51. 4 Maechtle:2025:SBFT AutoStub: Genetic Programming-Based Stub Creation for Symbolic Execution FelixMaechtle.html NilsLoose.html Jan-NiclasSerr.html JonasSander.html ThomasEisenbarth.html
52. 2 Magnani:2023:WIVACE Hybrid GP/PSO Representation of 1-D Signals in an Autoencoder Fashion GiuliaMagnani.html MonicaMordonini.html StefanoCagnoni.html
53. 4 conf/cosecivi/ManteconCGLRS17 A Pac-Man bot based on grammatical evolution HectorLariaMantecon.html JorgeSanchezCremades.html JoseMiguelTajueloGarrigos.html JorgeVieiraLuna.html CarlosCervigonRuckauer.html AntonioASanchezRuiz-Granados.html
54. 19 McDermott:2011:GECCO An executable graph representation for evolutionary generative music JamesMcDermott.html Una-MayO'Reilly.html
55. 7 Meza-Sanchez:2018:COMRob Bounding Velocity in Tracking Control of Unicycle Mobile Robots with Genetic Programming MarlenMeza-Sanchez.html EddieHelbertClementeTorres.html RodrigoVillalvazo.html GustavoOlague.html
56. 2 Meza-Sanchez:2019:IS Synthetic-analytic behavior-based control framework: Constraining velocity in tracking for nonholonomic wheeled mobile robots MarlenMeza-Sanchez.html EddieHelbertClementeTorres.html MariadelCarmenRodriguez-Linan.html GustavoOlague.html
57. 2 Milev:thesis Genetic Programming Use in Structural Modeling Applied to the Earnings-Returns Relation JordanGMilev.html
58. 1 Munoz:2015:EuroGP M3GP: Multiclass Classification with GP LuisMunozDelgado.html SaraSilva.html LeonardoTrujillo.html
59. 3 olague:evows07 Multiclass Object Recognition based on Texture Linear Genetic Programming GustavoOlague.html EvaRomero.html LeonardoTrujillo.html BirBhanu.html
60. 3 Olague2011 Evolutionary-computer-assisted design of image operators that detect interest points using genetic programming GustavoOlague.html LeonardoTrujillo.html
61. 27 Olague20122566 Interest point detection through multiobjective genetic programming GustavoOlague.html LeonardoTrujillo.html
62. 4 Olague:2018:IEEEAccess Evolving Head Tracking Routines With Brain Programming GustavoOlague.html DanielEduardoHernandezMorales.html EddieHelbertClementeTorres.html MarianaChan-Ley.html
63. 6 Olague:2019:ACC Artificial Visual Cortex and Random Search for Object Categorization GustavoOlague.html EddieHelbertClementeTorres.html DanielEduardoHernandezMorales.html AaronBarrera.html MarianaChan-Ley.html SambitBakshi.html
64. 1 Olague:2020:ISVC A Deep Genetic Programming Based Methodology for Art Media Classification Robust to Adversarial Perturbations GustavoOlague.html GerardoIbarra-Vazquez.html MarianaChan-Ley.html CesarPuente.html CarlosSoubervielle-Montalvo.html AxelMartinez.html
65. 1 Olague:2024:dib Salient object detection dataset with adversarial attacks for genetic programming and neural networks MatthieuOlague.html GustavoOlague.html RobertoPineda.html GerardoIbarra-Vazquez.html
66. 17 de-franca:2023:GECCO Reducing Overparameterization of Symbolic Regression Models with Equality Saturation FabricioOlivettideFranca.html GabrielKronberger.html
67. 2 Owen:2022:ieeeTEC Standardisation and Data Augmentation in Genetic Programming CaitlinAOwen.html GrantDick.html PeterAlexanderWhigham.html
68. 2 Owen:EC Using Decomposed Error for Reproducing Implicit Understanding of Algorithms CaitlinAOwen.html GrantDick.html PeterAlexanderWhigham.html
69. 1 DBLP:conf/icpr/PerezO08 Learning invariant region descriptor operators with genetic programming and the F-measure CynthiaBPerez.html GustavoOlague.html
70. 3 Perez:evows09 Evolving Local Descriptor Operators through Genetic Programming CynthiaBPerez.html GustavoOlague.html
71. 22 DBLP:conf/gecco/PerezO09 Evolutionary learning of local descriptor operators for object recognition CynthiaBPerez.html GustavoOlague.html
72. 1 journals/ida/PerezO13 Genetic programming as strategy for learning image descriptor operators CynthiaBPerez.html GustavoOlague.html
73. 11 pilat:2022:GECCOcomp Using Graph Neural Networks as Surrogate Models in Genetic Programming MartinPilat.html GabrielaKadlecova.html
74. 2 Pineda:2022:evoapplications Brain Programming and Its Resilience Using a Real-World Database of a Snowy Plover Shorebird RobertoPineda.html GustavoOlague.html GerardoIbarra-Vazquez.html AxelMartinez.html JonathanVargas.html IsnardoReducindoRuiz.html
75. 1 Pinna:2024:EuroGP Enhancing Large Language Models-Based Code Generation by Leveraging Genetic Improvement GiovanniPinna.html DamianoRavalico.html LuigiRovito.html LucaManzoni.html AndreaDeLorenzo.html
76. 6 Plambeck:2024:SEAA Dynamics-Based Identification of Hybrid Systems using Symbolic Regression SwantjePlambeck.html MaximilianSchmidt.html GoerschwinFey.html AudineSubias.html LouiseTrave-Massuyes.html
77. 3 Puente:evows09 A Novel GP Approach to Synthesize Vegetation Indices for Soil Erosion Assessment CesarPuente.html GustavoOlague.html StephenVSmith.html StephenHBullock.html MiguelAGonzalez-Botello.html AlejandroHinojosaCorona.html
78. 2 DBLP:conf/gecco/PuenteOSBGH09 Genetic programming methodology that synthesize vegetation indices for the estimation of soil cover CesarPuente.html GustavoOlague.html StephenVSmith.html StephenHBullock.html MiguelAGonzalez-Botello.html AlejandroHinojosaCorona.html
79. 3 olague-pers-2011 A Genetic Programming Approach to Estimate Vegetation Cover in the Context of Soil Erosion Assessment CesarPuente.html GustavoOlague.html StephenVSmith.html StephenHBullock.html AlejandroHinojosaCorona.html MiguelAGonzalez-Botello.html
80. 7 eurogp:ShichelZS05 GP-Robocode: Using Genetic Programming to Evolve Robocode Players YehonatanShichel.html EranZiserman.html MosheSipper.html
81. 5 songpetchmongkol:2025:GI Empirical Comparison of Runtime Improvement Approaches: Genetic Improvement, Parameter Tuning, and Their Combination ThanatadSongpetchmongkol.html AymericBlot.html JustynaPetke.html
82. 5 Souza:TOSEM Software Product Line Engineering via Software Transplantation LeandroOliveiradeSouza.html EduardoSantanadeAlmeida.html PauloAnselmodaMotaSilveiraNeto.html EarlBarr.html JustynaPetke.html
83. 3 Tan:2025:GI Put on Your Tester Hat: Improving programs for Automated Program Generation ShinHweiTan.html
84. 1 Teredesai:thesis Active Pattern Recognition Using Genetic Programming AnkurMTeredesai.html
85. 6 1144151 Synthesis of interest point detectors through genetic programming LeonardoTrujillo.html GustavoOlague.html
86. 4 Trujillo:2006:ICPR Using Evolution to Learn How to Perform Interest Point Detection LeonardoTrujillo.html GustavoOlague.html
87. 24 Trujillo2:2008:gecco Multiobjective design of operators that detect points of interest in images LeonardoTrujillo.html GustavoOlague.html EvelyneLutton.html FranciscoFernandezdeVega.html
88. 2 Trujillo:2008:EC Automated Design of Image Operators that Detect Interest Points LeonardoTrujillo.html GustavoOlague.html
89. 6 Trujillo201261 Evolving estimators of the pointwise Hoelder exponent with Genetic Programming LeonardoTrujillo.html PierrickLegrand.html GustavoOlague.html JacquesLevy-Vehel.html
90. 28 Villarreal:2016:Neurocomputing Synthesis of odor tracking algorithms with genetic programming BlancaLorenaVillarreal.html GustavoOlague.html JoseLuisGordillo.html
91. 14 Villegas-Cortez:2010:EvoIASP Automatic Synthesis of Associative Memories through Genetic Programming: A First Co-evolutionary Approach JuanVillegas-Cortez.html GustavoOlague.html JuanHumbertoSossaAzuela.html CarlosAviles-Cruz.html AndresFerreyra.html
92. 4 wang:2025:GI Large Language Model based Code Completion is an Effective Genetic Improvement Mutation JingyuanWang.html CarolHanna.html JustynaPetke.html
93. 1 WANG:2021:OE Predicting the bulk drag coefficient of flexible vegetation in wave flows based on a genetic programming algorithm YanxuWang.html ZegaoYin.html YongLiu3.html
94. 1 Tingyang_Wei:ETC Multiclass Classification on High Dimension and Low Sample Size Data using Genetic Programming TingyangWei.html Wei-LiLiu.html JinghuiZhong.html Yue-JiaoGong.html
95. 3 Whigham:2017:GPEM2 Just because it works: a response to comments on ``On the Mapping of Genotype to Phenotype in Evolutionary Algorithms'' PeterAlexanderWhigham.html GrantDick.html JamesMaclaurin.html
96. 3 WoodwardB:2009:GEC Canonical representation genetic programming JohnRWoodward.html RuibinBai.html
97. 1 Zhang;1999:sfi Detecting Structural Changes Using Genetic Programming with an Application to the Greater-China Stock Market Xibin_Bill_Zhang.html YiuKuenTse.html WSChan.html

New and modified entries