Changes to Genetic Programing Bibliography since 2026/06/27

New and modified entries

New

  1. CoG-19_paper_71 Adding Variety in NPCs Behaviour Using Emotions and Genetic Algorithms: the GENIE Project FedericaAgliata.html LauraAnnaRipamonti.html DarioMaggiorini.html DavideGadia.html
  2. Alterkawi:thesis Scaling Genetic Algorithms to Large Distributed Datasets LailaAlterkawi.html
  3. Bachinger:thesis Advances in Industrial Machine Learning Applications FlorianBachinger.html
  4. Banzhaf:2026:GECCO Neutrality, Simplicity and Search: Lessons from Genetic Programming WolfgangBanzhaf.html
  5. Basirat:thesis The Quest for the Golden Activation Function MinaBasirat.html
  6. Beade:2026:CSIS Using genetic programming as a feature selector and classifier to implement bankruptcy prediction models AngelBeade.html JoseSantosReyes.html ManuelRodriguezLopez.html
  7. Bhardwaj:2023:asjc EEG based personality prediction using genetic programming HarshitBhardwaj.html PradeepTomar.html AditiSakalle.html ArpitBhardwaj.html RishiAsthana.html AnkitVidyarthi.html
  8. Ying_Bi:2026:CEC A Task-Similarity-Based Multitask Genetic Programming Approach to Symbolic Regression YingBi.html YaxinChang.html WenjingLi.html CaitongYue.html JingLiang.html
  9. blot:2026:GI 15th International Workshop on Genetic Improvement @ICSE 2025 AymericBlot.html OliverKrauss.html
  10. Connor:2026:GECCOcomp Can LLM's Pick Up Where GP Left off? Investigating LLM Mathematical Expression Simplification Capabilities MarkConnor.html
  11. DBLP:conf/ijcci/CuiTCLWH25 Extending Cartesian Genetic Programming via Iterative Subgraph Assessment HenningCui.html CamiloDeLaTorre.html SylvainCussat-Blanc.html HerveLuga.html DennisGWilson.html JoergHaehner.html
  12. Cui_Diss Improving Genetic Operators of Cartesian Genetic Programming HenningCui.html
  13. de-lima:2022:signals GRAPE: Grammatical Algorithms in Python for Evolution AllanDanilodeLima.html SamuelCarvalho.html DouglasMotaDias.html EnriqueNaredo.html JoeSullivan.html ConorRyan.html
  14. pmlr-v235-dong24b Pruner-Zero: Evolving Symbolic Pruning Metric From Scratch for Large Language Models PeijieDong.html LujunLi.html ZhenhengTang.html XiangLiu.html XinglinPan.html QiangWang2.html XiaowenChu.html
  15. Durcansky:2025:ECS Analyzing consumer behavior using neural networks and grammatical evolution AlesDurcansky.html KamilStanek.html MichalJezek.html JiriStastny.html
  16. Erata:2026:ICML Learning Randomized Reductions FerhatErata.html OrrParadise.html ThanosTypaldos.html TimosAntonopoulos.html ThanhVuNguyen.html ShafiGoldwasser.html RuzicaPiskac.html
  17. Falkner:2026:procs Detecting Degradation using Structure-Borne Sound in Flame Torch Cutting DominikFalkner.html ChristophSeiringer.html LeoSavernik.html MarkusSteindl.html EvansDoeOcansey.html AlexanderKinast.html FlorianBachinger.html MichaelAffenzeller.html
  18. Fong:2025:ICML FEAT-KD: learning concise representations for single and multi-target regression via TabNet knowledge distillation KeiSenFong.html MehulMotani.html
  19. pmlr-v267-fong25b Pareto-Optimal Fronts for Benchmarking Symbolic Regression Algorithms KeiSenFong.html MehulMotani.html
  20. Fong:2026:GECCOcomp Pareto-Optimal Fronts for Benchmarking Symbolic Regression Algorithms KeiSenFong.html
  21. Galeta:2026:excel Transformer-Guided Mutation in Cartesian Genetic Programming for Approximate Multiplier Design OndrejGaleta.html
  22. galeta2026geneticprogrammingtransformerbasedmutation Genetic Programming with Transformer-Based Mutation for Approximate Circuit Design OndrejGaleta.html LukasSekanina.html
  23. Galeta:2026:CEC Genetic Programming with Transformer-Based Mutation for Approximate Circuit Design OndrejGaleta.html LukasSekanina.html
  24. Goncalves:2026:CEC Evolutionary Prompting: Automating Large Language Model Queries for Machine Learning Task Identification using Grammatical Evolution CarlosGoncalves.html PedroPereira.html PauloCortez.html
  25. Harris:1996:canny Using Canny's Criteria to Evolve Edge Detectors by Means of Genetic Programming ChristopherHarris.html BernardBuxton.html
  26. Yifan_Huang:2026:CEC Genetic Programming with Multi-Scale Feature Extraction, Attention and Interaction for Few-Shot Fine-Grained Image Classification YifanHuang.html QinglanFan.html YingBi.html BingXue.html MengjieZhang.html
  27. Zhixing_Huang:2026:CEC Typed Linear Genetic Programming for Abstraction and Reasoning Corpus ZhixingHuang.html BingXue.html MengjieZhang.html
  28. DBLP:journals/cluster/IdrisIR19 Intelligent churn prediction for telecom using GP-AdaBoost learning and PSO undersampling AdnanIdris.html MuhammadAksamIftikhar.html ZiaurRehman.html
  29. Kadlecova:thesis Surrogate Models in Neural Architecture Search GabrielaKadlecova.html
  30. Kaska:2026:excel Evolving Robust Defenses: A Genetic Programming Approach to LLM Jailbreak Protection PetrKaska.html
  31. Kodytek:thesis Automatizace tvorby programu v prostredi LabVIEW pomoci genetickych algoritmu s vyuzitim prvku umele inteligence PavelKodytek.html
  32. kone_lalla_2024_ED269 IA et ethique pour l'amelioration du service public LallaAichaKone.html
  33. Kovacic:2025:mit Absorbed energy modeling of hypoeutectoid steels using linear regression and genetic programming taking into account continuous casting parameters MihaKovacic.html UrosZuperl.html GasperGantar.html
  34. Benjamin_Kovacs:thesis Optimizing Decision Making in Large-Scale Constrained Scheduling Problems using Simulation BenjaminKovacs.html
  35. Kripner:2025:RLC Symbolic World Models in Lean 4 for Reinforcement Learning MatejKripner.html
  36. Krzywda:2026:GECCOcomp SA-DCGP: Surrogate-Assisted Cartesian Genetic Programming with Dynamic Operator Scheduling for Contrastive Graph Clustering MaciejKrzywda.html SzymonLukasik.html AHGandomi.html
  37. Krzywda:2026:GECCOcomp2 Surrogate-Assisted Linear Genetic Programming for Evolving Graph Neural Networks for Node Classification MaciejKrzywda.html SzymonLukasik.html AHGandomi.html
  38. Kumar:2026:CEC Breaking Free from Hand-Crafted Rewards: A Genetic Programming Framework for End-Goal-Driven Reinforcement Learning KamaleshKumar.html Jean-AlexisDelamer.html JamesAlexanderHughes.html
  39. Kumar:2026:ICML Evolving Interpretable Constitutions for Multi-Agent Coordination UjwalKumar.html AliceSaito.html HershrajNiranjani.html RayanYessou.html TanPhanXuan.html
  40. Langdon:2026:UKCI Parallel Program Analysis for Linear Genetic Programming WilliamBLangdon.html
  41. li:2026:SSBSE Genetic Programming for Self-Adaptive Auto-Scaling of Microservices JiaLi.html MehrdadSabetzadeh.html ShivaNejati.html
  42. Liang:2026:GPEM GA-optimized BiLSTM with dynamic surrogate model for enhanced stock price prediction JiayuLiang.html DongdongLing.html WeisenLi.html
  43. Liang:2026:CEC Genetic Programming with Diversity Enhancement Strategy for Feature Learning in Classification JingLiang.html ZhengLi.html PengWang2.html XiangyangRen.html YingBi.html CaitongYue.html
  44. Lubrano:2026:GECCOcomp An Initial Investigation on the Generation of Logic Gate Networks using Cartesian Genetic Programming FrancescoLubrano.html EmanuelMessetti.html AlbertoScionti.html GiovanniSquillero.html AlbertoTonda.html
  45. Mao:2026:CEC Self-Attention-Guided Genetic Programming for Dynamic Scheduling: Leveraging BERT for Enhanced Tree-Structured Data Operations ShanshiMao.html FangfangZhang.html YiMei.html MengjieZhang.html
  46. Mei:2026:CEC Explainable Artificial Intelligence: A Genetic Programming Approach YiMei.html QiChen.html BingXue.html MengjieZhang.html
  47. Mrazek:2019:WOSET EvoApproxLib: Extended Library of Approximate Arithmetic Circuits VojtechMrazek.html ZdenekVasicek.html LukasSekanina.html
  48. Panizza:2026:GECCOcomp Learning Terrain-Aware Edge Costs for Ant-Colony Route Planning via Genetic Programming AsiaPanizza.html DavideColosimo.html FilippoMarcon.html ErikNielsen.html StefanoGenetti.html GiovanniIacca.html
  49. Pantridge:2026:GECCOcomp Diagnosing Problems with the Code Building Genetic Programming Representation EdwardRPantridge.html ThomasHelmuth.html
  50. Paul:2026:GECCOcomp Can Explainability Metrics Improve Genetic Programming? Lessons from 2048 LaurenPaul.html ChristinaPlump.html BernhardJBerger.html RolfDrechsler.html
  51. Qiao:2026:CEC Enhancing Generalisation in Multi-Objective Genetic Programming for Energy-Efficient Dynamic Flexible Job Shop Scheduling ZhuoyinQiao.html FangfangZhang.html YiMei.html MengjieZhang.html
  52. Saegert:2026:ICML Breaking the Simplification Bottleneck in Amortized Neural Symbolic Regression PaulSaegert.html UllrichKoethe.html
  53. SPECTOR20061251 Evolution of artificial intelligence LeeSpector.html
  54. Springer:2025:ARW Mechanical Design Optimization of a Pneumatically Actuated Parallel Kinematic Machine KlemensSpringer.html HubertGattringer.html AndreasMueller.html
  55. Stanovov:2026:GECCOcomp Genetic Programming for Automated Design of Problem-specific Scaling Factor Adaptation Strategies for Differential Evolution VladimirStanovov.html
  56. Stein:2026:GECCOcomp Revisiting Crossover Effectiveness in Quantum Circuit Synthesis ChristophStein.html StefanKlikovits.html ManuelWimmer.html
  57. Tenachi:thesis Symbolic Machine Learning for Physics \& Astrophysics WassimTenachi.html
  58. DBLP:conf/pricai/TianMZ25 Scalable Knee-Point Guided Activity Group Selection in Multi-tree Genetic Programming for Dynamic Multi-Mode Project Scheduling YuanTian.html YiMei.html MengjieZhang.html
  59. Tian:2026:CEC Surrogate-Assisted Genetic Programming with Rank-Based Phenotypic Characterisation for Dynamic Multi-Mode Project Scheduling YuanTian.html YiMei.html MengjieZhang.html
  60. Trabucco:thesis Artificial intelligence as a tool for research and development in European patent law TommasoGiovanniTrabucco.html
  61. Tran:2026:GECCOcomp Improving Evaluation of Recombination-based Cartesian Genetic Programming DuyLongTran.html AnjaJankovic.html MarieAnastacio.html HolgerHHoos.html RomanTobiasKalkreuth.html
  62. Unemi:2024:GA Building a Web Site to Play Back Generative Animations TatsuoUnemi.html
  63. Velasco:2026:GECCOcomp Grammar-Based Subexpression Reuse in Grammatical Evolution JoseManuelVelascoCabo.html DanielParraRodriguez.html OscarGarnica.html JoseIgnacioHidalgoPerez.html
  64. vorokhta:2025:wbo Selecting the Best Lower-Bound Strategy in a Branch-and-Bound Algorithm Using Genetic Programming AlisaVorokhta.html GwenMaudet.html GregoireDanoy.html
  65. Qianhui_Wang:2026:CEC An Investigation of Multiobjective Dynamic Resource Allocation in Cloud via Genetic Programming Hyper-heuristics QianhuiWang.html YiMei.html MengjieZhang.html
  66. Xiangdong_Wu:2026:ICML Neural-Evolutionary Symbolic Regression with Global Constraints: Constraint-Aware Decoding and Reward Shaping XiangdongWu.html WenjunWu.html ZiyuWei.html BingrunChen.html ZhenboSong.html RongyeShi.html
  67. Shijie_Xia:2026:ICML SR-Scientist: Scientific Equation Discovery With Agentic AI ShijieXia.html YuhanSun.html PengfeiLiu.html
  68. Xiao:2026:CEC A Novel Genetic Programming Approach for Skeleton-Based Human Action Recognition YoukaiXiao.html MitchellRogers.html PatriceDelmas.html BingXue.html MengjieZhang.html
  69. Xue:2026:GPEM Introduction for the special issue on highlights of genetic programming 2024 \& 2025 events BingXue.html LucaManzoni.html NelishiaPillay.html AnikoEkart.html
  70. Yagin:2024:diagnostics Metabolomics Biomarker Discovery to Optimize Hepatocellular Carcinoma Diagnosis: Methodology Integrating AutoML and Explainable Artificial Intelligence FatmaHilalYagin.html RadwaElShawi.html AbdulmohsenAlgarni.html CemilColak.html FahaidAl-Hashem.html LucaPaoloArdigo.html
  71. Xuanhao_Yang:2026:CEC A Strongly Typed Genetic Programming Approach to Feature Learning in Time Series Classification XuanhaoYang.html BingXue.html MengjieZhang.html
  72. Zamudio-Amaya:2026:SSBSE Search-Based Generation of Complex Inputs with FANDANGO JoseAntonioZamudioAmaya.html MariusSmytzek.html AndreasZeller.html
  73. Zegklitz:thesis Enhancements of Genetic Programming-based Symbolic Regression Algorithms JanZegklitz.html
  74. Fangfang_Zhang:2026:CEC Genetic Programming and Machine Learning for Scheduling FangfangZhang.html
  75. Yuye_Zhang:2026:CEC Enhancing 3D Multimodal Image Classification via Multi-plane View with Ensemble Multi-tree Genetic Programming for Alzheimer's Disease Diagnosis YuyeZhang.html FangfangZhang.html BingXue.html MengjieZhang.html
  76. Zyl:2026:CEC Canny Genetic Programming (CGP) for Edge Detection DanielvanZyl.html ThamboNyathi.html NelishiaPillay.html

Modified

  1. 1 abramson:1996:cccGP Classification using Cultural Co-Evolution and Genetic Programming MyriamAbramson.html LawrenceHunter.html
  2. 3 Adami:2025:GPTP How evolution creates complexity: From viruses to brains ChristophAdami.html
  3. 9 Affenzeller:2025:GPTP On the Effects of Continuous Pruning on Symbolic Regression for Different Variants of Evolutionary Search MichaelAffenzeller.html BernhardWerth.html MichaelHeckmann.html BogdanBurlacu.html
  4. 1 ahluwalia:1996:ccpGP Co-Evolving Hierarchical Programs Using Genetic Programming ManuAhluwalia.html TerenceCFogarty.html
  5. 1 Ahmad:thesis Towards Self-Reliant Robots: Skill Learning, Failure Recovery, and Real-Time Adaptation: Integrating Behavior Trees, Reinforcement Learning, and Vision-Language Models for Robust Robotic Autonomy FaseehAhmad.html
  6. 1 alba:1996:tGPrdflc Type-Constrained Genetic Programming for Rule-Base Definition in Fuzzy Logic Controllers EnriqueAlba.html CarlosCotta.html JoseMariaTroya.html
  7. 1 andre:1996:camc Discovery by Genetic Programming of a Cellular Automata Rule that is Better than any Known Rule for the Majority Classification Problem DavidAndre.html ForrestBennett.html JohnKoza.html
  8. 1 andre:1996:introns A Study in Program Response and the Negative Effects of Introns in Genetic Programming DavidAndre.html AstroTeller.html
  9. 1 angeline:1996:leaf An Investigation into the Sensitivity of Genetic Programming to the Frequency of Leaf Selection During Subtree Crossover PeterJohnAngeline.html
  10. 12 Bakurov:2025:GPTP Analyzing Fitness Aggregation Strategies for Symbolic Regression Problem-Solving IllyaBakurov.html AidanMurphy.html WolfgangBanzhaf.html
  11. 2 Beade:2024:INISTA Genetic programming for feature selection in business failure prediction. Comparison of the use of financial variables and economic environment variables AngelBeade.html ManuelRodriguezLopez.html JoseSantosReyes.html
  12. 1 bennett:1996:emaa Automatic Creation of an Efficient Multi-Agent Architecture Using Genetic Programming with Architecture-Altering Operations ForrestBennett.html
  13. 3 Berghegger:2026:TELO Analyzing Interpretable Visual Control Policy Search and Synthesis ChristinaBerghegger.html CamiloDeLaTorre.html GiorgiaNadizar.html YuriLavinas.html DavidSimoncini.html HerveLuga.html DennisGWilson.html SylvainCussat-Blanc.html
  14. Bhardwaj:2013:GECCOcomp Performance improvement in genetic programming using modified crossover and node mutation ArpitBhardwaj.html ArunaTiwari.html
  15. Bhardwaj:2014:GECCOcomp Classification of EEG signals using a novel genetic programming approach ArpitBhardwaj.html ArunaTiwari.html MVishaalVarma.html MRameshKrishna.html
  16. Bhardwaj:2015:ESA Breast cancer diagnosis using Genetically Optimized Neural Network model ArpitBhardwaj.html ArunaTiwari.html
  17. Bhardwaj:2015:GECCO An Analysis of Integration of Hill Climbing in Crossover and Mutation operation for EEG Signal Classification ArpitBhardwaj.html ArunaTiwari.html MVishaalVarma.html MRameshKrishna.html
  18. Bhardwaj:2016:CMPB A novel genetic programming approach for epileptic seizure detection ArpitBhardwaj.html ArunaTiwari.html MRameshKrishna.html MVishaalVarma.html
  19. bhardwaj:atgp1 Advances and Trends in Genetic Programming: Volume 1: Classification Techniques and Life Cycles Paperback ArpitBhardwaj.html ArunaTiwari.html JasjitSSuri.html
  20. 3 Bideh:2026:GECCO LLM-ODE: Data-driven Discovery of Dynamical Systems with Large Language Models AmirmohammadZiaeiBideh.html JonathanGryak.html
  21. 1 Bischl:thesis Model and Algorithm Selection in Statistical Learning and Optimization BerndBischl.html
  22. 2 Bladek:2016:GECCOcomp Simultaneous Synthesis of Multiple Functions using Genetic Programming with Scaffolding IwoBladek.html KrzysztofKrawiec.html
  23. 10 Bohm:2025:GPTP The Evolution of Heterogeneous Logic: An Analysis of the Buffet Method CliffordBohm.html ArendHintze.html
  24. 1 brave:1996:dface Evolving Deterministic Finite Automata Using Cellular Encoding ScottBrave.html
  25. 1 brave:1996:emmmGP The Evolution of Memory and Mental Models Using Genetic Programming ScottBrave.html
  26. 1 bruce:1996:agOOpGP Automatic Generation of Object-Oriented Programs Using Genetic Programming WilkerShaneBruce.html
  27. 3 Card:2025:GPTP The Needs of the Few -- Information Theory Aided Ensemble Selection for Robustly Generalizing Causal Models StuCard.html
  28. 28 CHAND:2019:swarm Evolving rollout-justification based heuristics for resource constrained project scheduling problems ShelvinChand.html HemantSingh.html TapabrataRay.html
  29. 1 chen:1996:gpemh Genetic Programming and the Efficient Market Hypothesis Shu-HengChen.html ChiaHsuanYeh.html
  30. 1 ga95aCona:1995:dGPs Developing a Genetic Programming System JohnCona.html
  31. 11 Crary:2025:GPTP FPGA-Based Streaming Processors for Tree-Based Genetic Programming ChristopherCCrary.html MarinaFernandes.html BogdanBurlacu.html WesleyPPiard.html JohnBaldwin.html JacksonFugate.html MichaelGendreau.html GregStitt.html WolfgangBanzhaf.html
  32. 1 crosbie:1996:eedp Evolving Event-Driven Programs MarkCrosbie.html EugeneHSpafford.html
  33. 9 Cussat-Blanc:2025:GPTP On Interpretability in Multimodal Biomedical Image Analysis SylvainCussat-Blanc.html CamilodelaTorre.html YuriLavinas.html HerveLuga.html DavidSimoncini.html DennisGWilson.html
  34. 1 daida:1996:cadic Computer-Assisted Design of Image Classification Algorithms: Dynamic and Static Fitness Evaluations in a Scaffolded Genetic Programming Environment JasonMDaida.html TommasoFBersano-Begey.html StevenJRoss.html JohnFVesecky.html
  35. 1 Dakhama:2025:ASE Enhancing Search-Based Testing with LLMs for Finding Bugs in System Simulators AidanDakhama.html KarineEven-Mendoza.html WilliamBLangdon.html HectorMenendez.html JustynaPetke.html
  36. 1 deakin:1996:GPtaw1 GP Tools Available on the Web: A First Encounter AnthonyGDeakin.html DerekFYates.html
  37. 21 deResende:2016:BRACIS Time Series Imputation Using Genetic Programming and Lagrange Interpolation DamaresCOdeResende.html AdamoLimadeSantana.html FabioManoelFrancaLobato.html
  38. 10 Desell:2025:GPTP CANTS-GP: A Nature-Inspired Metaheuristic for Graph Based Genetic Programs AhmedElSaid.html TravisDesell.html
  39. 19 DESIMONE:2019:IJRMMS Estimating DEM microparameters for uniaxial compression simulation with genetic programming MarceloDeSimone.html LourdesMSSouza.html DeaneRoehl.html
  40. 4 Dhar:2026:GECCO Teaching the Teacher: The Role of Teacher-Student Smoothness Alignment in Genetic Programming-based Symbolic Distillation SoumyadeepDhar.html KeiSenFong.html MehulMotani.html
  41. 1 dracopoulos:1996:sGPpBSP Speeding up Genetic Programming: A Parallel BSP Implementation DimitrisCDracopoulos.html SimonKent.html
  42. 1 dworman:1996:baa2cg Bargaining by Artificial Agents in Two Coalition Games: A Study in Genetic Programming for Electronic Commerce GarettODworman.html StevenOrlaKimbrough.html JamesDLaing.html
  43. 3 Eberbach:1997:eGPdc Enhancing Genetic Programming by \$-calculus EugeneEberbach.html
  44. 1 ehrenburg:1996:iDAGcGP Improved Directed Acyclic Graph Evaluation and the Combine Operator in Genetic Programming HermanEhrenburg.html
  45. 1 fernandez:1996:wrGPmsrp Waveform Recognition Using Genetic Programming: The Myoelectric Signal Recognition Problem JaimeFernandez.html KristinAFarry.html JohnBCheatham.html
  46. 1 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
  47. 3 Fong:2026:GECCO Generalization Analysis of Symbolic Regression Algorithms via Stability Theory KeiSenFong.html MehulMotani.html
  48. 11 Fonseca:2025:GPTP Bridging Genetic Programming and Type Theory Research AlcidesFonseca.html
  49. 1 francone:1996:bench Benchmarking the Generalization Capabilities of a Compiling Genetic programming System using Sparse Data Sets FrankDFrancone.html PeterNordin.html WolfgangBanzhaf.html
  50. 10 Fredericks:2026:GI Databending as a Target for Genetic Improvement ErikMFredericks.html ByronDeVries.html ReihanehHariri.html
  51. 1 Gathercole:1996:aicrtd An Adverse Interaction between Crossover and Restricted Tree Depth in Genetic Programming ChrisGathercole.html PeterRoss.html
  52. 24 Gautier:2015:FLM Closed-loop separation control using machine learning NicolasGautier.html Jean-LucAider.html ThomasDuriez.html BerndRNoack.html MarcSegond.html MarkusWAbel.html
  53. 11 Geiger:2026:GECCO ROIDS: Robust Outlier-Aware Informed Down-Sampling AlinaGeiger.html MartinBriesch.html DominikSobania.html FranzRothlauf.html
  54. 24 Giannetti:2024:applthermaleng Thermodynamic optimization of heat exchanger circuitry via genetic programming NiccoloGiannetti.html AdrianoMilazzo.html JohnCarloGarcia.html CheolHwanKim.html YuichiSei.html KojiEnoki.html KiyoshiSaito.html
  55. 1 gibbs:1996:eikGP Easy Inverse Kinematics using Genetic Programming JonathanGibbs.html
  56. 27 Gillgren:thesis Interpretable machine learning applied to fusion plasmas AndreasGillgren.html
  57. 1 goldfish:1996:nwfmGP Noisy Wall Following and Maze Navigation through Genetic Programming AndrewGoldfish.html
  58. 1 gray:1996:GPcbtNMR Genetic Programming Classification of Magnetic Resonance Data HelenGray.html RossJamesMaxwell.html IreneMartinez-Perez.html CarlesArus.html SebastianCerdan.html
  59. 3 Guadalupe-Hernandez:2025:GPTP GP and LLMs for Program Synthesis with Varying Number of Input-Output Examples JoseGuadalupeHernandez.html
  60. 1 handley:1996:pdesaarGP The Prediction of the Degree of Exposure to Solvent of Amino Acid Residues via Genetic Programming SimonGHandley.html
  61. 1 handley:1996:nfsssp A New Class of Function Sets for Solving Sequence Problems SimonGHandley.html
  62. 1 Harris:1996:edgegpRN Evolving Edge Detectors ChristopherHarris.html BernardBuxton.html
  63. 7 Harris:1996:edgegp Evolving Edge Detectors with Genetic Programming ChristopherHarris.html BernardBuxton.html
  64. 1 Harris:1996:gpcom GP-COM: A Distributed, Component-Based Genetic Programming System in C++ ChristopherHarris.html BernardBuxton.html
  65. 9 Harris:1997:ledGPpsa Low-level Edge Detection Using Genetic Programming: performance, specificity and application to real-world signals ChristopherHarris.html BernardBuxton.html
  66. 39 harris:thesis An investigation into the Application of Genetic Programming techniques to Signal Analysis and Feature Detection ChristopherHarris.html
  67. 1 haynes:1996:esr Entailment for Specification Refinement ThomasDHaynes.html RoseFGamble.html LeslieKnight.html RogerLWainwright.html
  68. 1 haynes:1996:cdGP Clique Detection via Genetic Programming ThomasDHaynes.html DaleASchoenefeld.html
  69. 11 Heywood:2025:GPTP Offline Reinforcement Learning: A New Challenge for Symbolic Regression? BryceMacInnis.html MalcolmHeywood.html
  70. 1 Hodan:GPEM Semantically-oriented mutation operator in cartesian genetic programming for evolutionary circuit design DavidHodan.html VojtechMrazek.html ZdenekVasicek.html
  71. 1 holmes:1996:fllc Functional Languages on Linear Chromosomes PaulHolmes.html PeterJBarclay.html
  72. 1 hondo:1996:COASTgp96 COAST: An Approach to Robustness and Reusability in Genetic Programming NaohiroHondo.html HitoshiIba.html YukinoriKakazu.html
  73. 1 hooper:1996:iarGPes Improving the Accuracy and Robustness of Genetic Programming through Expression Simplification DaleCHooper.html NicholasSFlann.html
  74. 1 howley:1996:GPsam Genetic Programming of Near-Minimum-Time Spacecraft Attitude Maneuvers BrianHowley.html
  75. 1 Huelsbergen:1996:tsemli Toward Simulated Evolution of Machine-Language Iteration LorenzHuelsbergen.html
  76. 2 Ikeda:2026:GECCO Diversified Residual Symbolic Regression KokiIkeda.html MasahiroNomura.html RyokiHamano.html
  77. 1 Ingelse:2025:GPEM A comparison of representations in grammar-guided genetic programming in the context of glucose prediction in people with diabetes LeonIngelse.html JoseIgnacioHidalgoPerez.html JManuelColmenar.html NunoLourenco.html AlcidesFonseca.html
  78. 1 ito:1996:rrpgGP Robustness of Robot Programs Generated by Genetic Programming TakuyaIto.html HitoshiIba.html MasayukiKimura.html
  79. 1 jacob:1996:GPls Evolving Evolution Programs: Genetic Programming and L-Systems ChristianJacob.html
  80. 2 jadhwani:2026:GI Applying Genetic Improvement Techniques for Automated Program Repair of Transpiled Code PrashamJadhwani.html CarolHanna.html WilliamBLangdon.html JustynaPetke.html
  81. 1 johansson:1996:rfbcGP Recurrences with Fixed Base Cases in Genetic Programming StefanJJohansson.html
  82. 1 Jorgensen:2026:TELO Policy Search through Genetic Programming and LLM-assisted Curriculum Learning StevenPJorgensen.html GiorgiaNadizar.html GloriaPietropolli.html LucaManzoni.html EricMedvet.html Una-MayO'Reilly.html ErikHemberg.html
  83. 20 Karami:2025:ijengscia Elastic waves in graphene origami-enabled auxetic metamaterial thickness-deformable doubly-curved shells BehrouzKarami.html MergenHGhayesh.html
  84. 1 keller:1996:gpmlg2lp Genetic Programming using Genotype-Phenotype Mapping from Linear Genomes into Linear Phenotypes RobertEKeller.html WolfgangBanzhaf.html
  85. 1 Kelly:GPEM Evolving hierarchical memory-prediction machines in multi-task reinforcement learning StephenKelly.html TatianaVoegerl.html WolfgangBanzhaf.html CedricGondro.html
  86. 35 Koch:2026:GECCO Introns and Templates Matter: Rethinking Linkage in GP-GOMEA JohannesKoch.html TanjaAlderliesten.html PeterANBosman.html
  87. 3 kodytek:2024:pone Automated code development based on genetic programming in graphical programming language: A pilot study PavelKodytek.html AlexandraBodzas.html JanZidek.html
  88. 3 Kotanchek:2025:GPTP To Smoothly Go Where No Model has Gone Before Pareto Tournaments, Model Curvature and Alternating Objectives MarkKotanchek.html
  89. 1 koza:1996:WYWIWYG Automated WYWIWYG Design of Both the Topology and Component Values of Electrical Circuits Using Genetic Programming JohnKoza.html ForrestBennett.html DavidAndre.html MartinAKeane.html
  90. 1 koza:1996:ADFaacs Use of Automatically Defined Functions and Architecture-Altering Operations in Automated Circuit Synthesis with Genetic Programming JohnKoza.html DavidAndre.html ForrestBennett.html MartinAKeane.html
  91. 1 kuscu:1996:eimshlp Evolutionary and Incremental Methods to Solve Hard Learning Problems IbrahimKuscu.html
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  96. 14 Le:2025:GPTP Decoupling Representation and Learning in Genetic Programming: The LaSER Approach NamLe.html JoshCBongard.html
  97. 1 Lee:ieeeTEC Feature Extraction With Genetic Programming for Root Cause Identification in Manufacturing With Interpretable Machine Learning ChanGyuLee.html SungbumJun.html
  98. 2 lee:2026:GI GI-Agent Search-Based LLM Agent for Code Optimization with Genetic Improvement DonghyunLee.html WilliamBLangdon.html JustynaPetke.html
  99. 5 Li:2025:frl Advancing financial risk management: A transparent framework for effective fraud detection WenjuanLi.html XinghuaLiu.html JunqiSu.html TianxiangCui.html
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  101. 3 Kui_Liu:thesis Deep Pattern Mining for Program Repair KuiLiu.html
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