Changes to Genetic Programing Bibliography since 2026/07/02

New and modified entries

New

  1. Banzhaf:2026:GECCO Neutrality, Simplicity and Search: Lessons from Genetic Programming WolfgangBanzhaf.html
  2. 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
  3. blot:2026:GI 15th International Workshop on Genetic Improvement @ICSE 2025 AymericBlot.html OliverKrauss.html
  4. DBLP:phd/ethos/Cooper06 Improving performance of genetic algorithms by using novel fitness functions JasonCooper.html
  5. de-lima:2022:signals GRAPE: Grammatical Algorithms in Python for Evolution AllanDanilodeLima.html SamuelCarvalho.html DouglasMotaDias.html EnriqueNaredo.html JoeSullivan.html ConorRyan.html
  6. deBruin:2026:GPEM Software review: EvoGym EgedeBruin.html
  7. 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
  8. Erata:2026:ICML Learning Randomized Reductions FerhatErata.html OrrParadise.html ThanosTypaldos.html TimosAntonopoulos.html ThanhVuNguyen.html ShafiGoldwasser.html RuzicaPiskac.html
  9. Fong:2025:ICML FEAT-KD: learning concise representations for single and multi-target regression via TabNet knowledge distillation KeiSenFong.html MehulMotani.html
  10. galeta2026geneticprogrammingtransformerbasedmutation Genetic Programming with Transformer-Based Mutation for Approximate Circuit Design OndrejGaleta.html LukasSekanina.html
  11. Galeta:2026:CEC Genetic Programming with Transformer-Based Mutation for Approximate Circuit Design OndrejGaleta.html LukasSekanina.html
  12. Goncalves:2026:CEC Evolutionary Prompting: Automating Large Language Model Queries for Machine Learning Task Identification using Grammatical Evolution CarlosGoncalves.html PedroPereira.html PauloCortez.html
  13. Harris:1996:canny Using Canny's Criteria to Evolve Edge Detectors by Means of Genetic Programming ChristopherHarris.html BernardBuxton.html
  14. 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
  15. Zhixing_Huang:2026:CEC Typed Linear Genetic Programming for Abstraction and Reasoning Corpus ZhixingHuang.html BingXue.html MengjieZhang.html
  16. DBLP:phd/ethos/Jonas13 Learning from experience in the engineering of non-orthogonal architectural surfaces: A computational design system KatrinJonas.html
  17. 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
  18. 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
  19. Kumar:2026:ICML Evolving Interpretable Constitutions for Multi-Agent Coordination UjwalKumar.html AliceSaito.html HershrajNiranjani.html RayanYessou.html TanPhanXuan.html
  20. Langdon:2026:UKCI Parallel Program Analysis for Linear Genetic Programming WilliamBLangdon.html
  21. Liang:2026:GPEM GA-optimized BiLSTM with dynamic surrogate model for enhanced stock price prediction JiayuLiang.html DongdongLing.html WeisenLi.html
  22. 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
  23. 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
  24. Mei:2026:CEC Explainable Artificial Intelligence: A Genetic Programming Approach YiMei.html QiChen.html BingXue.html MengjieZhang.html
  25. Mrazek:2019:WOSET EvoApproxLib: Extended Library of Approximate Arithmetic Circuits VojtechMrazek.html ZdenekVasicek.html LukasSekanina.html
  26. 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
  27. Saegert:2026:ICML Breaking the Simplification Bottleneck in Amortized Neural Symbolic Regression PaulSaegert.html UllrichKoethe.html
  28. SPECTOR20061251 Evolution of artificial intelligence LeeSpector.html
  29. 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
  30. Tian:2026:CEC Surrogate-Assisted Genetic Programming with Rank-Based Phenotypic Characterisation for Dynamic Multi-Mode Project Scheduling YuanTian.html YiMei.html MengjieZhang.html
  31. Qianhui_Wang:2026:CEC An Investigation of Multiobjective Dynamic Resource Allocation in Cloud via Genetic Programming Hyper-heuristics QianhuiWang.html YiMei.html MengjieZhang.html
  32. 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
  33. Shijie_Xia:2026:ICML SR-Scientist: Scientific Equation Discovery With Agentic AI ShijieXia.html YuhanSun.html PengfeiLiu.html
  34. Xiao:2026:CEC A Novel Genetic Programming Approach for Skeleton-Based Human Action Recognition YoukaiXiao.html MitchellRogers.html PatriceDelmas.html BingXue.html MengjieZhang.html
  35. Xue:2026:GPEM Introduction for the special issue on highlights of genetic programming 2024 \& 2025 events BingXue.html LucaManzoni.html NelishiaPillay.html AnikoEkart.html
  36. Xuanhao_Yang:2026:CEC A Strongly Typed Genetic Programming Approach to Feature Learning in Time Series Classification XuanhaoYang.html BingXue.html MengjieZhang.html
  37. Fangfang_Zhang:2026:CEC Genetic Programming and Machine Learning for Scheduling FangfangZhang.html
  38. 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
  39. 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. 1 Adami:2025:GPTP How evolution creates complexity: From viruses to brains ChristophAdami.html
  3. 7 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. ahalpara:2007:EMBN Variations in Financial Time Series: Modelling Through Wavelets and Genetic Programming DilipPAhalpara.html PrasantaKPanigrahi.html JitendraCParikh.html
  5. 9 2008Prama..71..459A Characterizing and modelling cyclic behaviour in non-stationary time series through multi-resolution analysis DilipPAhalpara.html AmitVerma.html JitendraCParikh.html PrasantaKPanigrahi.html
  6. 1 ahluwalia:1996:ccpGP Co-Evolving Hierarchical Programs Using Genetic Programming ManuAhluwalia.html TerenceCFogarty.html
  7. 1 alba:1996:tGPrdflc Type-Constrained Genetic Programming for Rule-Base Definition in Fuzzy Logic Controllers EnriqueAlba.html CarlosCotta.html JoseMariaTroya.html
  8. 34 ALOISIO:2023:ymssp Physics-based models, surrogate models and experimental assessment of the vehicle-bridge interaction in braking conditions AngeloAloisio.html AlessandroContento.html RoccoAlaggio.html GiuseppeQuaranta.html
  9. 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
  10. 1 andre:1996:introns A Study in Program Response and the Negative Effects of Introns in Genetic Programming DavidAndre.html AstroTeller.html
  11. 1 angeline:1996:leaf An Investigation into the Sensitivity of Genetic Programming to the Frequency of Leaf Selection During Subtree Crossover PeterJohnAngeline.html
  12. 10 Bakurov:2025:GPTP Analyzing Fitness Aggregation Strategies for Symbolic Regression Problem-Solving IllyaBakurov.html AidanMurphy.html WolfgangBanzhaf.html
  13. 1 bennett:1996:emaa Automatic Creation of an Efficient Multi-Agent Architecture Using Genetic Programming with Architecture-Altering Operations ForrestBennett.html
  14. 5 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
  15. 3 Bideh:2026:GECCO LLM-ODE: Data-driven Discovery of Dynamical Systems with Large Language Models AmirmohammadZiaeiBideh.html JonathanGryak.html
  16. 1 Bischl:thesis Model and Algorithm Selection in Statistical Learning and Optimization BerndBischl.html
  17. 2 Bladek:2016:GECCOcomp Simultaneous Synthesis of Multiple Functions using Genetic Programming with Scaffolding IwoBladek.html KrzysztofKrawiec.html
  18. 8 Bohm:2025:GPTP The Evolution of Heterogeneous Logic: An Analysis of the Buffet Method CliffordBohm.html ArendHintze.html
  19. 1 brave:1996:dface Evolving Deterministic Finite Automata Using Cellular Encoding ScottBrave.html
  20. 1 brave:1996:emmmGP The Evolution of Memory and Mental Models Using Genetic Programming ScottBrave.html
  21. 1 bruce:1996:agOOpGP Automatic Generation of Object-Oriented Programs Using Genetic Programming WilkerShaneBruce.html
  22. 1 Card:2025:GPTP The Needs of the Few -- Information Theory Aided Ensemble Selection for Robustly Generalizing Causal Models StuCard.html
  23. 28 CHAND:2019:swarm Evolving rollout-justification based heuristics for resource constrained project scheduling problems ShelvinChand.html HemantSingh.html TapabrataRay.html
  24. 1 chen:1996:gpemh Genetic Programming and the Efficient Market Hypothesis Shu-HengChen.html ChiaHsuanYeh.html
  25. 1 ga95aCona:1995:dGPs Developing a Genetic Programming System JohnCona.html
  26. cooper:2002:gecco Comparison Of Evolving Against Peers And Fixed Opponents Using Corewars JasonCooper.html ChrisJHinde.html
  27. 9 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
  28. 1 crosbie:1996:eedp Evolving Event-Driven Programs MarkCrosbie.html EugeneHSpafford.html
  29. 7 Cussat-Blanc:2025:GPTP On Interpretability in Multimodal Biomedical Image Analysis SylvainCussat-Blanc.html CamilodelaTorre.html YuriLavinas.html HerveLuga.html DavidSimoncini.html DennisGWilson.html
  30. 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
  31. 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
  32. 1 deakin:1996:GPtaw1 GP Tools Available on the Web: A First Encounter AnthonyGDeakin.html DerekFYates.html
  33. 21 deResende:2016:BRACIS Time Series Imputation Using Genetic Programming and Lagrange Interpolation DamaresCOdeResende.html AdamoLimadeSantana.html FabioManoelFrancaLobato.html
  34. 8 Desell:2025:GPTP CANTS-GP: A Nature-Inspired Metaheuristic for Graph Based Genetic Programs AhmedElSaid.html TravisDesell.html
  35. 19 DESIMONE:2019:IJRMMS Estimating DEM microparameters for uniaxial compression simulation with genetic programming MarceloDeSimone.html LourdesMSSouza.html DeaneRoehl.html
  36. 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
  37. 1 dracopoulos:1996:sGPpBSP Speeding up Genetic Programming: A Parallel BSP Implementation DimitrisCDracopoulos.html SimonKent.html
  38. 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
  39. 3 Eberbach:1997:eGPdc Enhancing Genetic Programming by \$-calculus EugeneEberbach.html
  40. 1 ehrenburg:1996:iDAGcGP Improved Directed Acyclic Graph Evaluation and the Combine Operator in Genetic Programming HermanEhrenburg.html
  41. 1 fernandez:1996:wrGPmsrp Waveform Recognition Using Genetic Programming: The Myoelectric Signal Recognition Problem JaimeFernandez.html KristinAFarry.html JohnBCheatham.html
  42. 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
  43. 3 Fong:2026:GECCO Generalization Analysis of Symbolic Regression Algorithms via Stability Theory KeiSenFong.html MehulMotani.html
  44. 9 Fonseca:2025:GPTP Bridging Genetic Programming and Type Theory Research AlcidesFonseca.html
  45. 1 francone:1996:bench Benchmarking the Generalization Capabilities of a Compiling Genetic programming System using Sparse Data Sets FrankDFrancone.html PeterNordin.html WolfgangBanzhaf.html
  46. 10 Fredericks:2026:GI Databending as a Target for Genetic Improvement ErikMFredericks.html ByronDeVries.html ReihanehHariri.html
  47. 2 Galeta:2026:excel Transformer-Guided Mutation in Cartesian Genetic Programming for Approximate Multiplier Design OndrejGaleta.html
  48. 1 Gathercole:1996:aicrtd An Adverse Interaction between Crossover and Restricted Tree Depth in Genetic Programming ChrisGathercole.html PeterRoss.html
  49. 24 Gautier:2015:FLM Closed-loop separation control using machine learning NicolasGautier.html Jean-LucAider.html ThomasDuriez.html BerndRNoack.html MarcSegond.html MarkusWAbel.html
  50. 11 Geiger:2026:GECCO ROIDS: Robust Outlier-Aware Informed Down-Sampling AlinaGeiger.html MartinBriesch.html DominikSobania.html FranzRothlauf.html
  51. 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
  52. 1 gibbs:1996:eikGP Easy Inverse Kinematics using Genetic Programming JonathanGibbs.html
  53. 1 goldfish:1996:nwfmGP Noisy Wall Following and Maze Navigation through Genetic Programming AndrewGoldfish.html
  54. 1 gray:1996:GPcbtNMR Genetic Programming Classification of Magnetic Resonance Data HelenGray.html RossJamesMaxwell.html IreneMartinez-Perez.html CarlesArus.html SebastianCerdan.html
  55. 1 Guadalupe-Hernandez:2025:GPTP GP and LLMs for Program Synthesis with Varying Number of Input-Output Examples JoseGuadalupeHernandez.html
  56. 4 gustafson:2003:iidigpbaaoteop Is increased diversity in genetic programming beneficial? An analysis of the effects on performance EdmundBurke.html StevenMGustafson.html GrahamKendall.html NatalioKrasnogor.html
  57. 1 handley:1996:pdesaarGP The Prediction of the Degree of Exposure to Solvent of Amino Acid Residues via Genetic Programming SimonGHandley.html
  58. 1 handley:1996:nfsssp A New Class of Function Sets for Solving Sequence Problems SimonGHandley.html
  59. 1 Harris:1996:edgegpRN Evolving Edge Detectors ChristopherHarris.html BernardBuxton.html
  60. 7 Harris:1996:edgegp Evolving Edge Detectors with Genetic Programming ChristopherHarris.html BernardBuxton.html
  61. 1 Harris:1996:gpcom GP-COM: A Distributed, Component-Based Genetic Programming System in C++ ChristopherHarris.html BernardBuxton.html
  62. 9 Harris:1997:ledGPpsa Low-level Edge Detection Using Genetic Programming: performance, specificity and application to real-world signals ChristopherHarris.html BernardBuxton.html
  63. 39 harris:thesis An investigation into the Application of Genetic Programming techniques to Signal Analysis and Feature Detection ChristopherHarris.html
  64. 1 haynes:1996:esr Entailment for Specification Refinement ThomasDHaynes.html RoseFGamble.html LeslieKnight.html RogerLWainwright.html
  65. 1 haynes:1996:cdGP Clique Detection via Genetic Programming ThomasDHaynes.html DaleASchoenefeld.html
  66. 1 hemberg:2008:aae Genr8: Architects' Experience with an Emergent Design Tool MartinHemberg.html Una-MayO'Reilly.html AchimMenges.html KatrinJonas.html MicheldaCostaGoncalves.html StevenRFuchs.html
  67. 9 Heywood:2025:GPTP Offline Reinforcement Learning: A New Challenge for Symbolic Regression? BryceMacInnis.html MalcolmHeywood.html
  68. 1 Hodan:GPEM Semantically-oriented mutation operator in cartesian genetic programming for evolutionary circuit design DavidHodan.html VojtechMrazek.html ZdenekVasicek.html
  69. 1 holmes:1996:fllc Functional Languages on Linear Chromosomes PaulHolmes.html PeterJBarclay.html
  70. 1 hondo:1996:COASTgp96 COAST: An Approach to Robustness and Reusability in Genetic Programming NaohiroHondo.html HitoshiIba.html YukinoriKakazu.html
  71. 1 hooper:1996:iarGPes Improving the Accuracy and Robustness of Genetic Programming through Expression Simplification DaleCHooper.html NicholasSFlann.html
  72. 1 howley:1996:GPsam Genetic Programming of Near-Minimum-Time Spacecraft Attitude Maneuvers BrianHowley.html
  73. 5 hu:2025:GECCO How Neutrality Shapes Evolution: Simplicity Bias and Search TingHu.html WolfgangBanzhaf.html GabrielaOchoa.html
  74. 1 Huelsbergen:1996:tsemli Toward Simulated Evolution of Machine-Language Iteration LorenzHuelsbergen.html
  75. 2 Ikeda:2026:GECCO Diversified Residual Symbolic Regression KokiIkeda.html MasahiroNomura.html RyokiHamano.html
  76. 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
  77. 1 ito:1996:rrpgGP Robustness of Robot Programs Generated by Genetic Programming TakuyaIto.html HitoshiIba.html MasayukiKimura.html
  78. 1 jacob:1996:GPls Evolving Evolution Programs: Genetic Programming and L-Systems ChristianJacob.html
  79. 2 jadhwani:2026:GI Applying Genetic Improvement Techniques for Automated Program Repair of Transpiled Code PrashamJadhwani.html CarolHanna.html WilliamBLangdon.html JustynaPetke.html
  80. 1 johansson:1996:rfbcGP Recurrences with Fixed Base Cases in Genetic Programming StefanJJohansson.html
  81. 20 Karami:2025:ijengscia Elastic waves in graphene origami-enabled auxetic metamaterial thickness-deformable doubly-curved shells BehrouzKarami.html MergenHGhayesh.html
  82. 1 keller:1996:gpmlg2lp Genetic Programming using Genotype-Phenotype Mapping from Linear Genomes into Linear Phenotypes RobertEKeller.html WolfgangBanzhaf.html
  83. 1 Kelly:GPEM Evolving hierarchical memory-prediction machines in multi-task reinforcement learning StephenKelly.html TatianaVoegerl.html WolfgangBanzhaf.html CedricGondro.html
  84. 35 Koch:2026:GECCO Introns and Templates Matter: Rethinking Linkage in GP-GOMEA JohannesKoch.html TanjaAlderliesten.html PeterANBosman.html
  85. 1 Kotanchek:2025:GPTP To Smoothly Go Where No Model has Gone Before Pareto Tournaments, Model Curvature and Alternating Objectives MarkKotanchek.html
  86. 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
  87. 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
  88. 1 Krzywda:2026:GECCOcomp SA-DCGP: Surrogate-Assisted Cartesian Genetic Programming with Dynamic Operator Scheduling for Contrastive Graph Clustering MaciejKrzywda.html SzymonLukasik.html AHGandomi.html
  89. 1 kuscu:1996:eimshlp Evolutionary and Incremental Methods to Solve Hard Learning Problems IbrahimKuscu.html
  90. 1 Lalejini:2018:GECCO Evolving event-driven programs with SignalGP AlexanderLalejini.html CharlesOfria.html
  91. 1 Langdon:1996:usedata Using Data Structures within Genetic Programming WilliamBLangdon.html
  92. 2 langdon:2026:GI Improving a Parallel C++ Intel SSE SIMD Linear Genetic Programming Interpreter WilliamBLangdon.html CarolHanna.html
  93. 4 langdon:2026:sigevolution Who Found What: Searches of the Genetic Programming Bibliography WilliamBLangdon.html
  94. 1 lange2026shinkaevolve ShinkaEvolve: Towards Open-Ended and Sample-Efficient Program Evolution RobertTjarkoLange.html YukiImajuku.html EdoardoCetin.html
  95. 12 Le:2025:GPTP Decoupling Representation and Learning in Genetic Programming: The LaSER Approach NamLe.html JoshCBongard.html
  96. 1 Lee:ieeeTEC Feature Extraction With Genetic Programming for Root Cause Identification in Manufacturing With Interpretable Machine Learning ChanGyuLee.html SungbumJun.html
  97. 2 lee:2026:GI GI-Agent Search-Based LLM Agent for Code Optimization with Genetic Improvement DonghyunLee.html WilliamBLangdon.html JustynaPetke.html
  98. 8 li:2026:SSBSE Genetic Programming for Self-Adaptive Auto-Scaling of Microservices JiaLi.html MehrdadSabetzadeh.html ShivaNejati.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
  100. 3 Lira:2026:GECCO Prior-Informed Symbolic Regression for Multiview Scientific Discovery HernanLira.html LuisMarti.html NayatSanchez-Pi.html
  101. 1 Yun_Liu:ieeeTEC Evolutionary Trainer-Based Deep Q-Network for Dynamic Flexible Job Shop Scheduling YunLiu.html FangfangZhang.html YananSun.html MengjieZhang.html
  102. 18 liu:2025:GECCOcomp3 Novel Application of Mutual Information in Transfer Learning for Genetic Programming YilinLiu.html GarethATaylor.html ZhengwenHuang.html
  103. 1 luke:1996:etc Evolving Teamwork and Coordination with Genetic Programming SeanLuke.html LeeSpector.html
  104. 1 marenbach:1996:spdpm Signal Path Oriented Approach for Generation of Dynamic Process Models PeterMarenbach.html KurtDirkBettenhausen.html StephanFreyer.html
  105. 1 Mauceri:GPEM Feature extraction by grammatical evolution for one-class time series classification StefanoMauceri.html JamesSweeney.html MiguelNicolau.html JamesMcDermott.html
  106. 1 DBLP:conf/aaai/MaudetD25 Search Strategy Generation for Branch and Bound Using Genetic Programming GwenMaudet.html GregoireDanoy.html
  107. 9 McDermott:2025:GPTP Evolving Programs in the Lambda Calculus using Program Trace Optimisation AlbertoMoraglio.html JamesMcDermott.html
  108. 1 mckay:1996:GPidea Using Genetic Programming to Develop Inferential Estimation Algorithms BenMcKay.html MarkJWillis.html GaryAMontague.html GeoffreyWBarton.html
  109. 1 Mei:TEVC Explainable Artificial Intelligence by Genetic Programming: A Survey YiMei.html QiChen.html AndrewLensen.html BingXue.html MengjieZhang.html
  110. 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
  111. 1 montana:1996:ecl4nts Evolving Control Laws for a Network of Traffic Signals DavidJMontana.html StevenCzerwinski.html
  112. 1 mulloy:1996:dGPctsp Dynamics of Genetic Programming and Chaotic Time Series Prediction BrianSMulloy.html RickLRiolo.html RobertSSavit.html
  113. 2 DBLP:conf/nips/MundhenkLGSFP21 Symbolic Regression via Neural-Guided Genetic Programming Population Seeding TNathanMundhenk.html MikelLandajuela.html RubenGlatt.html ClaudioPSantiago.html DanielMFaissol.html BrendenKylePetersen.html
  114. 9 Nadizar:2025:GPTP Interpretable Control with Graph-based Genetic Programming GiorgiaNadizar.html
  115. 7 Nikentari_2019 Comparing Grammatical Evolution Survivor Selection Methods in Forecasting Tidal Level NerfitaNikentari.html MuhamadRadziRathomi.html BondanChorisma.html
  116. 1 Nilsen:2023:GPEM Reward tampering and evolutionary computation: a study of concrete AI-safety problems using evolutionary algorithms MathiasKNilsen.html TonnesFNygaard.html KaiOlavEllefsen.html
  117. 1 niwa:1996:dGPemsa Distributed Genetic Programming: Empirical Study and Analysis TatsuyaNiwa.html HitoshiIba.html
  118. 1 nordin:1996:pcis Programmatic Compression of Images and Sound PeterNordin.html WolfgangBanzhaf.html
  119. 1 oakley:1996:GPrcb Genetic Programming, the Reflection of Chaos, and the Bootstrap: Towards a useful Test for Chaos HowardOakley.html
  120. 20 Obidiegwu:2026:GECCO Evolving Hardware-Efficient Grover Circuits with Grammatical Evolution ArinzeObidiegwu.html DouglasMotaDias.html EmmanuelObidiegwu.html ConorRyan.html
  121. 1 Ochoa:1998:PPSN On genetic algorithms and Lindenmayer systems GabrielaOchoa.html
  122. 7 Ofria:2025:GPTP Tips on Effective Theory and Practice of Genetic Programming CharlesOfria.html IllyaBakurov.html WolfgangBanzhaf.html CliffordBohm.html AlexanderLalejini.html NicholasFreitagMcPhee.html
  123. 4 Olson:2016:GECCO Evaluation of a Tree-based Pipeline Optimization Tool for Automating Data Science RandalSOlson.html NathanBartley.html RyanJUrbanowicz.html JasonHMoore.html
  124. 6 ONeill:2009:RPCS Recent Patents on Genetic Programming MichaelO'Neill.html AnthonyBrabazon.html
  125. 1 oreilly:1996:igADF Investigating the Generality of Automatically Defined Functions Una-MayO'Reilly.html
  126. 10 OReilly:2025:GPTP Spatial Genetic Programming with the S1 Processing Board StevenPJorgensen.html AmbroiseBorbely.html ErikHemberg.html JosephBates.html Una-MayO'Reilly.html
  127. 1 oussaidene:1996:pGPtme Parallel Genetic Programming: An Application to Trading Models Evolution MouloudOussaidene.html BastienChopard.html OlivierVPictet.html MarcoTomassini.html
  128. 1 Pacioni:2025:evoapplications FedGP: Genetic Programming for Evolutionary Aggregation in Federated Learning with Non-IID Data EliaPacioni.html FranciscoFernandezdeVega.html DavideCalvaresi.html
  129. 15 Pan:2013:EAAI Improving semi-empirical equations of ultimate bearing capacity of shallow foundations using soft computing polynomials Chan-PingPan.html Hsing-ChihTsai.html Yong-HuangLin.html
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