Changes to Genetic Programing Bibliography since 2026/09/07

New

1. DBLP:conf/ppsn/AlbertB26 GeneABAC: ABAC Policy Generation Optimized by Genetic Programming Ramona-GeorgianaAlbert.html MihaelaElenaBreaban.html
2. belmoudden:hal-05461814 A re-assessment of Code2Vec OumaimaBelMoudden.html RymNesrineGuibadj.html DenisRobilliard.html CyrilFonlupt.html AbdeslamKadrani.html RachidBenmansour.html
3. Bel-Moudden:2026:GPEM Embedding-guided selection for genetic programming using pretrained code representations OumaimaBelMoudden.html RymNesrineGuibadj.html DenisRobilliard.html CyrilFonlupt.html AbdeslamKadrani.html RachidBenmansour.html
4. DBLP:conf/ppsn/BunjerdtaweepornM26 Order-Aware GSGP in Active Factor Allocation KritpolBunjerdtaweeporn.html AlbertoMoraglio.html
5. DBLP:conf/ppsn/ChenCO26 Building Fairness-Aware Ensembles with AutoFairGE ZhiangChen.html MarkConnor.html MichaelO'Neill.html
6. Benjamin_Cohen:thesis Benjamin_Cohen:thesis BenjaminGCohen.html
7. 9bd218f788af4a5ca7da0d3e5c5a504d The evolution of team based coordination in strategic games AlanCunningham.html CiaraLavelle.html ColmO'Riordan.html
8. DBLP:conf/ppsn/DangKO26 Runtime Analysis of Cartesian Genetic Programming in Evolving Boolean Functions Duc-CuongDang.html RomanTobiasKalkreuth.html AndreOpris.html
9. degaris:1992:GPdgc Artificial Embryology: the Genetic Programming of an Artificial Embryo HugodeGaris.html
10. DBLP:conf/ppsn/DozRBM26 Inferring Structural Causal Models from Data with Grammatical Evolution RominaDoz.html FrancescaRandone.html LucaBortolussi.html EricMedvet.html
11. Edmonds:2008:AISB A Brief Survey of Some Results on Mechanisms and Emergent Outcomes BruceEdmonds.html
12. DBLP:conf/ppsn/GallardoCCM26 Generation of Optimised Quantum Oracles Using Grammar-Based Genetic Programming JavierZayasGallardo.html FranciscoChicano.html CarlosCanal.html JuanManuelMurillo.html
13. AGeyer-Schulz2026 xegaMigration. xega Island Models AndreasGeyer-Schulz.html SeyedmostafaZamanishandiz.html
14. Goodman:2026:alifenews 23rd Human-Competitive Results Awards (``Humies''), 2026 ErikGoodman.html
15. Grilo:2001:AISB Paradigmatic Analysis using Genetic Programming CarlosGrilo.html PenousalMachado.html FAmilcarCardoso.html
16. Seulki_Han:thesis Physics-informed and Data-driven Modeling for Tool Condition Monitoring in Manufacturing SeulkiHan.html
17. Helliwell:2021:AISB Darwinian Creativity as a Model for Computational Creativity AliceCHelliwell.html
18. Hong:2026:GPEM A genetic programming approach to classification of normal and endometrial cancer MRI images JingdeHong.html ChunxiaChen.html YuhangXie.html ZengLin.html YongpingLin.html
19. DBLP:conf/ppsn/HurtaDM26 Towards ML-Based Position-Aware Mutation Operator in Cartesian Genetic Programming MartinHurta.html MichaelaSikulova.html VojtechMrazek.html
20. Iba:2026:book Large Language Models and Evolutionary Computation: Generative AI for Meta-heuristics HitoshiIba.html JoaoEBatista.html JinglueXu.html
21. DBLP:conf/ppsn/JinTDB26 Efficient Imitation-Based Rule Learning for Online Yard Crane Scheduling via Order-Aware Geometric Semantic Genetic Programming ChenweiJin.html LeshanTan.html HuangyanDeng.html RuibinBai.html
22. CKeber2002 Evolutionary Computation in Option Pricing: Determining Implied Volatilities Based on American Put Options ChristianKeber.html
23. Koza:2003:AISBQ Genetic Programming Routine, human-competitive, high-return machine intelligence JohnKoza.html
24. DBLP:conf/ppsn/LegerMG26 Multi-modal Learning Meets Genetic Programming: Analyzing Alignment in Latent Space Optimization BenjaminLeger.html KazemMeidani.html ChristianGagne.html
25. Leier:2006:AISB Evolving Genetic Regulatory Networks Performing as Stochastic Switches AndreLeier.html KevinBurrage.html
26. DBLP:conf/ppsn/LiraMS26 Prior Coverage and Search Bias in Multiview Symbolic Regression HernanLira.html LuisMarti.html NayatSanchez-Pi.html
27. Machado:2002:AISBJ Learning to Colour Greyscale Images PenousalMachado.html AndreDias.html FAmilcarCardoso.html
28. DBLP:conf/ppsn/MarquesCC26 E-UPA: Evolutionary Universal Patch Attack via Genetic Programming for Black-Box Scenarios AlexandraMarques.html LuanaSantos.html JoaoNunoGoncalvesCostaCavaleiroCorreia.html
29. Mayrhuber:2026:ECXAI Evolving Explanations: Complexity-Adaptive Refinement of Faithful Explanations for Symbolic Regression ElisabethMayrhuber.html TingHu.html StephanMWinkler.html
30. DBLP:conf/ppsn/MengC26 GPAS: Multi-objective Genetic Programming with AUC and Separability Measures for Multiclass Classification WenyangMeng.html YingChen.html
31. Mirdarsoltany:2026:SR Strength performance of hexagonal, hollow, and perforated GFRP-Reinforced concrete units: experimental, numerical, and AI-based investigations MohammadaminMirdarsoltany.html NimaKhodadadi.html AntonioNanni.html
32. Moraglio:2026:ECXAI From Explanation to Design: Principled Generators in Program Trace Optimization AlbertoMoraglio.html
33. Moreno:2018:GECCO Learning an evolvable genotype-phenotype mapping MatthewAndresMoreno.html WolfgangBanzhaf.html CharlesOfria.html
34. DBLP:conf/ppsn/NadizarLFCW26 Structure vs. Constants: A Study of Coefficients in Cartesian Genetic Programming GiorgiaNadizar.html YuriLavinas.html FabricioOlivettideFranca.html SylvainCussat-Blanc.html DennisGWilson.html
35. Kaustuv_Nag:thesis Multiobjective evolutionary approaches to pattern classification and robust optimization KaustuvNag.html
36. Nardone:2026:SSRN Compact and Interpretable Binary Classification with SLIM Geometric Semantic Genetic Programming EmanueleNardone.html AlessandraScottodiFreca.html ClaudioDeStefano.html FrancescoRFontanella.html LeonardoVanneschi.html
37. Nardone:2026:BIOMAP Towards Interpretable Alzheimer's Disease Detection: Comparing Genetic Programming Paradigms on Handwriting Data EmanueleNardone.html LeonardoVanneschi.html FrancescoRFontanella.html TizianaD'Alessandro.html
38. DBLP:conf/ppsn/NomuraHO26 On the Generalization Bounds of Symbolic Regression with Genetic Programming MasahiroNomura.html RyokiHamano.html IsaoOno.html
39. Orlenko:2026:PSB A random-walk-based learning framework to uncover novel gene candidates for Alzheimer's disease therapy AlenaOrlenko.html BinglanLi.html NedaKhanjani.html MythreyeVenkatesan.html LiShen.html MarylynDRitchie.html ZhipingPaulWang.html TayoObafemi-Ajayi.html JasonHMoore.html
40. Pacioni:2025:ICAART Genetic Programming in Federated Aggregation: A Comparison of FedGP with State of the Art Methods EliaPacioni.html CelienMuller.html FranciscoFernandezdeVega.html DavideCalvaresi.html
41. DBLP:conf/ppsn/PaliszekSaladygaMDG26 BNTGP: A Hyper-Heuristic Balancing Non-Dominated Tournament Genetic Programming for Multi-Objective Multi-Skill Resource-Constrained Project Scheduling Problem AdamPaliszek-Saladyga.html PawelBMyszkowski.html MarkoDurasevic.html KonradGmyrek.html
42. Perelli:2026:DEBS SHIELD: Evolutionary Synthesis of Privacy-Preserving Pipelines for Live Stream Data Sharing SilviaPerelli.html EricMedvet.html VincenzoGulisano.html
43. DBLP:conf/ppsn/PostKBAB26 GP-GOMEA with GPU-Based Fitness Evaluations: Design and Performance Analysis JasperPost.html JohannesKoch.html AntonBouter.html TanjaAlderliesten.html PeterANBosman.html
44. Wulandari:thesis Symbolic Regression with Genetic Programming: Synthetic Data Generation and Model Selection for Interpolation and Extrapolation FitriaWulandariRamlan.html
45. Reiter:2025:TDSC Automatically Mitigating Vulnerabilities in Binary Programs via Partially Recompilable Decompilation PemmaDReiter.html HuiJunTay.html WestleyWeimer.html AdamDoupe.html RuoyuWang.html StephanieForrest.html
46. Renzullo:2025:ACMComputSurv Automated Program Repair: Emerging Trends Pose and Expose Problems for Benchmarks JosephRenzullo.html PemmaDReiter.html WestleyWeimer.html StephanieForrest.html
47. Romano:2022:btab PMLB v1.0: an open-source dataset collection for benchmarking machine learning methods JosephDRomano.html TrangTLe.html WilliamLaCava.html JohnTGregg.html DanielJGoldberg.html PraneelChakraborty.html NatashaLRay.html DanielHimmelstein.html WeixuanFu.html JasonHMoore.html
48. Rovito:2026:discoverAI Machine learning and symbolic regression for interpretable PM10 estimation in urban air quality monitoring LuigiRovito.html PaoloDiviacco.html RodrigoJoseCarbajales.html LorenzoGrio.html AlessandroBusato.html MihaiBurca.html AlbertoViola.html AndreaDeLorenzo.html LucaManzoni.html TommasoPadoan.html AlexRodriguez.html
49. Santos:2026:GECCOcomp Visualizing the Semantic Space Exploration of Ensemble Methods FredericoJJBSantos.html JoseManuelMunozContreras.html BerfinSakallioglu.html DamarisHualinga.html AlbertoTonda.html LeonardoTrujillo.html
50. DBLP:conf/ppsn/SantosCSTT26 SemanticViz: Analyzing Semantic Space Exploration of Ensemble Methods FredericoJJBSantos.html JoseManuelMunozContreras.html BerfinSakallioglu.html AlbertoTonda.html LeonardoTrujillo.html
51. Satheesan:2026:WREC A Clustering-Informed AutoML Framework for Pitting Corrosion Damage Classification for Offshore Structures YadukrishnanSatheesan.html TilBaalisampang.html HamidAhmadi.html EhsanArzaghi.html VikramGaraniya.html RouzbehAbbassi.html
52. DBLP:conf/ppsn/SchlenderBA26 Evolving Features vs Evolving Entire Trees with GP for Interpretable Survival Analysis ThaleaSchlender.html PeterANBosman.html TanjaAlderliesten.html
53. DBLP:conf/ppsn/SergioCM26 Strongly-Typed Geometric Syntactic Genetic Programming MiguelSergio.html ErnestoCosta.html JoaoMacedo.html
54. Speakman:2019:AISB Evolving Source Code: Object Oriented Genetic Programming in .NET Core JohnSpeakman.html
55. DBLP:conf/ppsn/TanJCQB26 Informative Decision Situation Selection for Phenotypic Characterization-Based Surrogate-Assisted Genetic Programming in Dynamic Container Terminal Truck Scheduling LeshanTan.html ChenweiJin.html XinanChen.html RongQu.html RuibinBai.html
56. tonelli:2026:acags An interpretable machine learning approach for alkalinity reconstruction in the Mediterranean Sea TeresaTonelli.html GloriaPietropolli.html LuigiRovito.html LucaManzoni.html GianpieroCossarini.html
57. Zhan:2026:ECXAI Human-in-the-Loop Interpretable Reinforcement Learning via Evolutionary Decision Trees HaoJieZhan.html StefanoGenetti.html GiovanniIacca.html
58. DBLP:conf/ppsn/ZhangCXYBZ26 Adaptive Protection for Evolutionary Feature Construction in Symbolic Regression with Application to Credit Classification HengzheZhang.html QiChen.html BingXue.html LeanYu.html WolfgangBanzhaf.html MengjieZhang.html
59. DBLP:conf/ppsn/ZhangCXBZ26 Benchmarking Zero-Shot LLM-Generated Parent Selection in Genetic Programming for Symbolic Regression HengzheZhang.html QiChen.html BingXue.html WolfgangBanzhaf.html MengjieZhang.html

Modified

1. 6 Agapitos:2014:CEC Ensemble Bayesian Model Averaging in Genetic Programming AlexandrosAgapitos.html MichaelO'Neill.html AnthonyBrabazon.html
2. 3 ahluwalia:1999:AGPCS A Genetic Programming-based Classifier System ManuAhluwalia.html LarryBull.html
3. 1 Altenberg:2014:GPEMb Evolvability and robustness in artificial evolving systems: three perturbations LeeAltenberg.html
4. 3 angeline:1997:tcbbe Subtree Crossover: Building Block Engine or Macromutation? PeterJohnAngeline.html
5. 1 DBLP:conf/IEEEpact/AnselKVRBOA14 OpenTuner: an extensible framework for program autotuning JasonAnsel.html ShoaibKamil.html KalyanVeeramachaneni.html JonathanRagan-Kelley.html JeffreyBosboom.html Una-MayO'Reilly.html SamanAmarasinghe.html
6. 3 conf/setn/AntoniouGTVL10 A Gene Expression Programming Environment for Fatigue Modeling of Composite Materials MariaAAntoniou.html EfstratiosFGeorgopoulos.html KonstantinosATheofilatos.html AnastasiosPVassilopoulos.html SpiridonDLikothanassis.html
7. 2 BARDHAN:2021:EG Efficient computational techniques for predicting the California bearing ratio of soil in soaked conditions AbidhanBardhan.html CandanGokceoglu.html AvijitBurman.html PijushSamui.html PanagiotisGAsteris.html
8. 1 Barone:2023:MLST A novel multi-layer modular approach for real-time fuzzy-identification of gravitational-wave signals FrancescoPioBarone.html DanieleDell'Aquila.html MarcoRusso.html
9. 2 Bensoussan:2025:OOPSLA2 AccelerQ: Accelerating Quantum Eigensolvers with Machine Learning on Quantum Simulators AvnerBensoussan.html ElenaChachkarova.html KarineEven-Mendoza.html SophieFortz.html ConnorLenihan.html
10. 2 Benyahia:1998:SMC Decision Support for Vehicle Dispatching Using Genetic Programming IlhamBenyahia.html Jean-YvesPotvin.html
11. 1 Beras:2025:Buildings Developing an Alternative Calculation Method for the Smart Readiness Indicator Based on Genetic Programming and Linear Regression MitjaBeras.html MiranBrezocnik.html UrosZuperl.html MihaKovacic.html
12. 2 Bhardwaj:2023:asjc EEG based personality prediction using genetic programming HarshitBhardwaj.html PradeepTomar.html AditiSakalle.html ArpitBhardwaj.html RishiAsthana.html AnkitVidyarthi.html
13. 2 bosamiya-thesis A Principled Approach Towards Unapologetic Security JayBosamiya.html
14. 3 Burke2013 Hyper-heuristics: a survey of the state of the art EdmundBurke.html MichelGendreau.html MatthewRHyde.html GrahamKendall.html GabrielaOchoa.html EnderOzcan.html RongQu.html
15. 1 Cavalcanti-Costa:thesis Hyper-Heuristics for Automatic Configuration of Local Search-based Heuristics for the Large-Scale Vehicle Routing Problem JoaoGuilhermeCavalcantiCosta.html
16. 1 Chan-Ley:thesis Categorizacion robusta de imagenes de arte usando Brain Programming MarianaChan-Ley.html
17. 1 Qi_Chen:book Evolving Insights: Genetic Programming for Symbolic Regression QiChen.html BingXue.html MengjieZhang.html
18. 2 Xinan_Chen_University_of_Nottingham_PhD_Thesis Machine Learning and Metaheuristic Methods for Optimizing Dynamic Truck Dispatching in Container Ports XinanChen.html
19. 1 Chennupati:2013:mendel An Empirical Analysis Through the Time Complexity of GE Problems GopinathChennupati.html ConorRyan.html RMuhammadAtifAzad.html
20. 2 Chia:2020:SSCI Designing Card Game Strategies with Genetic Programming and Monte-Carlo Tree Search: A Case Study of Hearthstone Hao-ChengChia.html Tsung-SuYeh.html Tsung-CheChiang.html
21. 32 Cho:2025:engappai Solving quay wall allocation problems based on deep reinforcement learning Young-inCho.html Seung-heonOh.html Jae-hoChoi.html JongHunWoo.html
22. 1 Clemente:evoapps12 Object Recognition with an Optimized Ventral Stream Model Using Genetic Programming EddieHelbertClementeTorres.html GustavoOlague.html LeonDozal.html MartinMancilla.html
23. 17 Cohen:2024:jcp Physics-informed genetic programming for discovery of partial differential equations from scarce and noisy data BenjaminGCohen.html BurcuBeykal.html GeorgeMBollas.html
24. 1 Cook:CS-2007-12 Genetically Programmed Response Surfaces for Efficient Design Space Exploration HenryMCook.html KevinSkadron.html
25. 13 Craine:2026:UKCI Estimating the Number of Solutions in Program Space Using Random Sampling BenjaminJCraine.html BarryPorter.html
26. 1 Crary:2024:GPTP It's Time to Revisit the Use of FPGAs for Genetic Programming ChristopherCCrary.html GregStitt.html BogdanBurlacu.html WolfgangBanzhaf.html
27. 1 Cui_Diss Improving Genetic Operators of Cartesian Genetic Programming HenningCui.html
28. 1 Cummins:2006:AICS An analysis of the Solution Space for Genetically Programmed Term-Weighting Schemes in Information Retrieval RonanCummins.html ColmO'Riordan.html
29. 5 Dafflon:2020:HBM An automated machine learning approach to predict brain age from cortical anatomical measures JessicaDeFariaDafflon.html WalterHugoLopezPinaya.html FedericoTurkheimer.html JamesHCole.html RobertLeech.html MathewAHarris.html SimonRCox.html HeatherCWhalley.html AndrewMMcIntosh.html PeterJHellyer.html
30. 1 Dana-Mazraeh:2026:GPEM GELS-SVR: a combination of grammatical evolution and least squares support vector regression for symbolic solution to Falkner-Skan equation HassanDanaMazraeh.html KouroshParand.html
31. 2 Dassau:Mat:06 Modeling and temperature control of rapid thermal processing EyalDassau.html BenyaminGrosman.html DanielRLewin.html
32. 1 De-Carlo:2023:EuroGP Interacting Robots in a Artificial Evolutionary Ecosystem MatteoDeCarlo.html EliseoFerrante.html JacinthaEllers.html GerbenMeynen.html GuszEiben.html
33. 8 Dick:2020:GECCO Feature Standardisation and Coefficient Optimisation for Effective Symbolic Regression GrantDick.html CaitlinAOwen.html PeterAlexanderWhigham.html
34. 2 journals/apin/DiosanA15 Multi-objective breast cancer classification by using multi-expression programming LauraDiosan.html AncaAndreica.html
35. 1 Doerr:2019:GECCOb Evolving Boolean functions with conjunctions and disjunctions via genetic programming BenjaminDoerr.html AndreiLissovoi.html PietroSOliveto.html
36. 2 Doherty2006 Evolving Agent--Based Team Tactics for Combative Computer Games DarrenDoherty.html ColmO'Riordan.html
37. 2 1277347 A phenotypic analysis of GP-evolved team behaviours DarrenDoherty.html ColmO'Riordan.html
38. 1 Esparcia-Alcazar:2017:evoApplications Evolving Rules for Action Selection in Automated Testing via Genetic Programming - A First Approach AnnaEsparcia-Alcazar.html FranciscoAlmenar.html UrkoRueda.html TanjaEJVos.html
39. 1 Fabera:2012:mendel Grammatical Evolution and FSM Construction VitFabera.html JanZelenka.html MariaJanesova.html VlastimilJanes.html
40. 1 Fagan:2012:mendel Fitness Reactive Mutation in Grammatical Evolution DavidFagan.html ErikHemberg.html MichaelO'Neill.html SeanMcGarraghy.html
41. 1 Fitzgerald:2013:mendel A Hybrid Approach to the Problem of Class Imbalance JeannieFitzgerald.html ConorRyan.html
42. 34 Garrow:2026:UKCI Property-Based Fitness from Examples: Guiding GP with LLM-Discovered Invariants FraserGarrow.html MichaelALones.html RobertStewart.html
43. gaudl:2018:platformersai A Genetic Programming Framework for 2D Platform AI SwenEGaudl.html
44. 1 gerber:2024:ICAISC A Comparison of Genetic Programming and Grammatical Evolution for the Generation of Fuzzy ART Choice Functions MiaGerber.html NelishiaPillay.html
45. 5 Gilbert:2016:CEC Evolvable Warps for Data Normalization JeremyGilbert.html DanielAshlock.html
46. 4 Gildfind:thesis Evolving Performance Control Systems for Digital Puppetry AndrewGildfind.html
47. 21 Goncalves:2026:CEC Evolutionary Prompting: Automating Large Language Model Queries for Machine Learning Task Identification using Grammatical Evolution CarlosGoncalves.html PedroPereira.html PauloCortez.html
48. 2 Goodman:2025:sigevolution 22nd Human-Competitive Results Awards (``Humies''), 2025 ErikGoodman.html
49. 6 Goodman:2026:sigevolution 23rd Human-Competitive Results Awards (``Humies''), 2026 ErikGoodman.html
50. Hernandez:2019:GECCOcomp Random subsampling improves performance in lexicase selection JoseGuadalupeHernandez.html AlexanderLalejini.html EmilyDolson.html CharlesOfria.html
51. Dolson:2021:GPTP What Can Phylogenetic Metrics Tell us About Useful Diversity in Evolutionary Algorithms? JoseGuadalupeHernandez.html AlexanderLalejini.html EmilyDolson.html
52. 1 Guadalupe-Hernandez:thesis Beyond benchmarks suites: engineering diagnostic tools to characterize selection schemes JoseGuadalupeHernandez.html
53. hernandez:2024:GECCOcomp Lexidate: Model Evaluation and Selection with Lexicase JoseGuadalupeHernandez.html AnilKumarSaini.html JasonHMoore.html
54. hernandez:2025:GECCOcomp2 Comparing PushGP and GPT-4o on Program Synthesis with only Input-Output Examples JoseGuadalupeHernandez.html AnilKumarSaini.html GabrielKetron.html JasonHMoore.html
55. DBLP:journals/patterns/HernandezSGM25 The tree-based pipeline optimization tool: Tackling biomedical research problems with genetic programming and automated machine learning JoseGuadalupeHernandez.html AnilKumarSaini.html AttriGhosh.html JasonHMoore.html
56. 1 Gypteau:2015:evoApplications Generating Directional Change Based Trading Strategies with Genetic Programming JeremieGypteau.html FernandoEstebanBarrilOtero.html MichaelKampouridis.html
57. 25 HALE:2022:CCE Inference of faults through symbolic regression of system data WilliamTHale.html EfstathiaSafikou.html GeorgeMBollas.html
58. 1 Han:2025:jmsy Physics-informed symbolic regression for tool wear and remaining useful life predictions in manufacturing SeulkiHan.html UtsavAwasthi.html GeorgeMBollas.html
59. 1 Harman:2015:ICST Achievements, Open Problems and Challenges for Search Based Software Testing MarkHarman.html YueJia.html YuanyuanZhang.html
60. 1 Hassan:2025:evoapplications Designing Hardware-Friendly Hash Functions for Network Security Using Cartesian Genetic Programming MujtabaHassan.html JoVliegen.html StjepanPicek.html NeleMentens.html
61. 3 Hayes:1995:ebspp Evolving Behavioral Strategies in Predators and Prey ThomasDHaynes.html SandipSen.html
62. 6 Haynes:1996:EBS Evolving Behavioral Strategies in Predators and Prey ThomasDHaynes.html SandipSen.html
63. 1 Jingsong_He:GPEM:pfpa Evolutionary design model of passive filter circuit for practical application JingsongHe.html JinYin.html
64. 1 Hemberg:2009:Mendel An investigation into automatically defined function representations in Grammatical Evolution ErikHemberg.html MichaelO'Neill.html AnthonyBrabazon.html
65. 2 Hershkovitz:thesis Harnessing Evolutionary Programming for Impedance Spectroscopy Analysis ShanyHershkovitz.html
66. 2 Hunt:2012:SEAL A Genetic Programming Approach to Hyper-Heuristic Feature Selection RachelHunt.html KouroshNeshatian.html MengjieZhang.html
67. 15 Iovino:2021:ICRA Learning Behavior Trees with Genetic Programming in Unpredictable Environments MatteoIovino.html JonathanStyrud.html PietroFalco.html ChristianSmith.html
68. 1 Javed:2022:DMKD Simplification of genetic programs: a literature survey NomanJaved.html FernandGobet.html PeterCRLane.html
69. 21 Jenkins:2025:compstruct Developing a continuum damage model for ceramic matrix composites using genetic programming based symbolic regression WilliamJenkins.html HunterGross.html KaitlinNDetwiler.html GregoryMorscher.html CraigPrzybyla.html JacobDeanHochhalter.html
70. 2 DBLP:journals/taco/JiaGSM15 GPU Performance and Power Tuning Using Regression Trees WenhaoJia.html ElbaGarza.html KellyAShaw.html MargaretMartonosi.html
71. 1 Kabliman:2026:RSTA Identification of empirical constitutive models for age-hardenable aluminium alloy and high-chromium martensitic steel using symbolic regression EvgeniyaKabliman.html GabrielKronberger.html
72. 2 Kalayci-Sahinoglu27052024 Predicting advance rate and cutter life in TBM tunnelling using evolutionary algorithm UlkuKalayciSahinoglu.html MuratKarakus.html
73. 2 kamalov:tel-04042245 Scalable algorithms for graph-based semi-supervised learning with embedding MikhailKamalov.html
74. 9 Keller:2008:WCCI Self-Adaptive Hyperheuristic and Greedy Search RobertEKeller.html RiccardoPoli.html
75. 1 Kelly:2017:EuroGP Emergent Tangled Graph Representations for Atari Game Playing Agents StephenKelly.html MalcolmHeywood.html
76. 1 Thesis_KIALA Remote sensing of invasive plant species: Optimization of Sentinel-2 and Landsat 8 imagery for enhanced mapping of the invasive Parthenium hysterophorus in South Africa ZoloZimeZinuSergeKiala.html
77. 1 Kim:2022:GRURint Clarifying Assumptions About Artificial Intelligence Before Revolutionising Patent Law DariaKim.html MaximilianAlber.html ManWaiKwok.html JelenaMitrovic.html CristianRamirezAtencia.html JesusAlbertoRodriguezPerez.html HeinerZille.html
78. 21 Kim:2025:cie A genetic programming based reinforcement learning algorithm for dynamic hybrid flow shop scheduling with reworks under general queue time limits Hyeon-IlKim.html Yeo-ReumKim.html Dong-HoLee.html
79. 1 Koutnik:2009:MENDEL Structure Aware Two Point Crossover for Grammatical Evolution JanKoutnik.html JiriKubalik.html
80. 4 Koza:1992:GPdgc The genetic programming paradigm: Genetically breeding populations of computer programs to solve problems JohnKoza.html
81. 1 Kumar:2026:ICML Evolving Interpretable Constitutions for Multi-Agent Coordination UjwalKumar.html AliceSaito.html HershrajNiranjani.html RayanYessou.html TanPhanXuan.html
82. 1 LaCava:2021:NeurIPS Contemporary Symbolic Regression Methods and their Relative Performance WilliamLaCava.html PatrykOrzechowski.html BogdanBurlacu.html FabricioOlivettideFranca.html MarcoVirgolin.html YingJin.html MichaelKommenda.html JasonHMoore.html
83. 1 Lalejini:2023:GPTP Phylogeny-Informed Fitness Estimation for Test-Based Parent Selection AlexanderLalejini.html MatthewAndresMoreno.html JoseGuadalupeHernandez.html EmilyDolson.html
84. 2 langdon:2009:TAICPART Multi Objective Mutation Testing with Genetic Programming WilliamBLangdon.html MarkHarman.html YueJia.html
85. 1 Langdon:2012:mendel Genetic Improvement of Programs WilliamBLangdon.html
86. 2 Langdon:2026:UKCI Parallel Program Analysis for Linear Genetic Programming WilliamBLangdon.html
87. 1 DBLP:conf/sigsoft/GouesFW10 The case for software evolution ClaireLeGoues.html StephanieForrest.html WestleyWeimer.html
88. 2 Li:2025:cor A novel hyper-heuristic based on surrogate genetic programming for the three-dimensional spatial resource-constrained project scheduling problem under uncertain environments LuboLi.html JingwenZhang.html HaohuaZhang.html RoelLeus.html
89. 30 Li:2025:rcim Multi-agent deep reinforcement learning for dynamic reconfigurable shop scheduling considering batch processing and worker cooperation YuxinLi.html XinyuLi.html LiangGao.html ZhibingLu.html
90. 1 thesis_liuli Learning Discriminative Feature Representations for Visual Categorization LiLiu.html
91. 2 Loginov:GPEM Stock selection heuristics for performing frequent intraday trading with genetic programming AlexanderLoginov.html MalcolmHeywood.html GarnettCarlWilson.html
92. 2 oai:CiteSeerPSU:508435 Giving Colour to Images PenousalMachado.html AndreDias.html NunoDuarte.html FAmilcarCardoso.html
93. 1 MacLachlan:2022:CEC Genetic Programming for Vehicle Subset Selection in Ambulance Dispatching JordanMacLachlan.html YiMei.html FangfangZhang.html MengjieZhang.html
94. 1 Martinez-Arellano:2013:mendel Short-term wind power forecasting with WRF-ARW model and genetic programming GiovannaMartinez-Arellano.html LarsNolle.html
95. 1 Matousek:2009:MENDEL Grammatical Evolution: Epsilon Tube in Symbolic Regression Rask RadomilMatousek.html JozefBednar.html
96. 1 DBLP:conf/aaai/MaudetD25 Search Strategy Generation for Branch and Bound Using Genetic Programming GwenMaudet.html GregoireDanoy.html
97. 17 McConaghy_2005_iscas_2 Analysis of Simulation-Driven Numerical Performance Modeling Techniques for Application to Analog Circuit Optimization TrentMcConaghy.html GeorgesGEGielen.html
98. 1 McConaghy:2009:ieeeTCAD Variation-Aware Structural Synthesis of Analog Circuits via Hierarchical Building Blocks and Structural Homotopy TrentMcConaghy.html PieterPalmers.html MichielSteyaert.html GeorgesGEGielen.html
99. 3 McKay:2001:AJIIPS_1 An Investigation of Fitness Sharing in Genetic Programming RI_Bob_McKay.html
100. 2 mei:2021:ADMLSA Knowledge Transfer in Genetic Programming Hyper-heuristics YiMei.html MazharAnsariArdeh.html MengjieZhang.html
101. 1 Miconi:2009:eurogp Why coevolution doesn't ``work'': superiority and progress in coevolution ThomasMiconi.html
102. 1 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
103. 3 Moraglio:2014:SMGP2 An Efficient Implementation of GSGP using Higher-Order Functions and Memoization AlbertoMoraglio.html
104. 1 Moraglio:2025:GPEM Editorial introduction to the special issue for the tenth anniversary of geometric semantic genetic programming AlbertoMoraglio.html KrzysztofKrawiec.html ColinGJohnson.html
105. 21 Moreno:2026:GPTP Trust, but Verify: Rigorously Profiling Best-Effort High-Performance Computing for Digital Evolution MatthewAndresMoreno.html SantiagoRodriguezPapa.html CharlesOfria.html LuisZaman.html EmilyDolson.html
106. 2 Motwani:2022:TSE Quality of Automated Program Repair on Real-World Defects ManishMotwani.html MauricioSoto.html YuriyBrun.html ReneJust.html ClaireLeGoues.html
107. 1 Munteanu:thesis Investigation concerning temperature field propagation along reduced scale modelled metal structures Ildiko-RenataMunteanu.html
108. 1 Murphy:2009:MENDEL Gait Optimisation for Distinct Horse Models using Grammatical Evolution JamesMurphy.html MichaelO'Neill.html HamishCarr.html
109. 1 Nadizar:2022:EuroGP On the Schedule for Morphological Development of Evolved Modular Soft Robots GiorgiaNadizar.html EricMedvet.html KarinedaSilvaMirasdeAraujo.html
110. 2 Nadizar:thesis Towards Bio-Inspired Interpretable Embodied Artificial Intelligence: Merging Bio-Mimicry with Transparency in Robot Controllers GiorgiaNadizar.html
111. 2 nag:2019:ESIA Genetic Programming for Classification and Feature Selection KaustuvNag.html NikhilRanjanPal.html
112. 3 Nemeth:2026:UKCI PCA Landscape Projections for Meta-Analysis of Genetic Improvement for Source Code ZsoltNemeth.html PenelopeFaulknerRainford.html BarryPorter.html
113. 1 Nguyen:2009:MENDEL Semantics based Mutation in Genetic Programming: The case for Real-valued Symbolic Regression QuangUyNguyen.html NguyenXuanHoai.html MichaelO'Neill.html
114. 4 kinnear:nordin A Compiling Genetic Programming System that Directly Manipulates the Machine Code PeterNordin.html
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117. 1 PARZIALE:2021:AIM Cartesian genetic programming for diagnosis of Parkinson disease through handwriting analysis: Performance vs. interpretability issues AntonioParziale.html RosaSenatore.html AntonioDellaCioppa.html AngeloMarcelli.html
118. 23 Picek:2016:EC Evolutionary Algorithms for Boolean Functions in Diverse Domains of Cryptography StjepanPicek.html ClaudeCarlet.html SylvainGuilley.html JulianFMiller.html DomagojJakobovic.html
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120. 3 Potvin:2004:COR Generating trading rules on the stock markets with genetic programming Jean-YvesPotvin.html PatrickSoriano.html MaximeVallee.html
121. 2 ramlan:2026:EuroGP Extending Model Selection Criteria with Extrapolation and Sensitivity Penalties for Symbolic Regression FitriaWulandariRamlan.html ColmO'Riordan.html JamesMcDermott.html
122. 1 pmlr-v119-real20a AutoML-Zero: Evolving Machine Learning Algorithms From Scratch EstebanReal.html ChenLiang.html DavidSo.html QuocVLe.html
123. 1 Renzullo:TELO Evolving Software: Combining Online Learning with Mutation-Based Stochastic Search JosephRenzullo.html WestleyWeimer.html StephanieForrest.html
124. 2 Ritter:thesis Inferring and Analyzing Microarchitectural Performance Models FabianRitter.html
125. 1 Roushangar:2014:JH Modeling energy dissipation over stepped spillways using machine learning approaches KiyoumarsRoushangar.html SamiraAkhgar.html FarzinSalmasi.html JalalShiri.html
126. 14 russell:2023:GECCOcomp A Selection Hyper-Heuristic for Transfer Learning in Genetic Programming JeffreyRussell.html NelishiaPillay.html
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129. 4 Safikou:2023:ACC Symbolic Regression for Fault Prognosis and Remaining Useful Life Estimation* EfstathiaSafikou.html GeorgeMBollas.html
130. 21 Safikou:2025:ACCESS Fault Diagnosis and Prognosis With Inferential Sensors: A Hybrid Approach Integrating Symbolic Regression and Information Theory EfstathiaSafikou.html KrishnaRPattipati.html GeorgeMBollas.html
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134. 1 Sattar:thesis Lung Cancer Classification with Discriminant Features of Mutated Genes using Machine Learning MohsinSattar.html
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151. 1 trautwein:2025:EuroGP Ant-based Metaheuristics Struggle to Solve the Cartesian Genetic Programming Learning Task JulianTrautwein.html MichaelHeider.html HenningCui.html JoergHaehner.html
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