Changes to Genetic Programing Bibliography since 2026/02/12

New

1. Outstanding:2026:sigevolution Prof. Mengjie Zhang
2. Alghieth:thesis Gene expression programming for efficient time-series financial forecasting ManalAlghieth.html
3. anthes:2026:EuroGP Syntactic Flexibility Enables Compact Solutions in Transformer Semantic GP PhilippAnthes.html
4. Banzhaf:2026:book Recent Advances in Linear Genetic Programming WolfgangBanzhaf.html TingHu.html
5. Banzhaf:2026:raLGP_introduction Introduction WolfgangBanzhaf.html TingHu.html
6. Banzhaf:2026:raLGP Fundamentals of Linear Genetic Programming WolfgangBanzhaf.html TingHu.html
7. Banzhaf:2026:raLGP_summary Summary and Conclusion WolfgangBanzhaf.html TingHu.html
8. Bensoussan:2025:OOPSLA2 AccelerQ: Accelerating Quantum Eigensolvers with Machine Learning on Quantum Simulators AvnerBensoussan.html ElenaChachkarova.html KarineEven-Mendoza.html SophieFortz.html ConnorLenihan.html
9. berghegger:2026:EuroGP Using Monte Carlo Tree Search to Enhance Search Space Exploration in Cartesian Genetic Programming ChristinaBerghegger.html CamiloDeLaTorre.html SylvainCussat-Blanc.html YuriLavinas.html DavidSimoncini.html
10. bhattacharaya:2026:EuroGP A Hybrid LLM-Coevolution Framework to Generate Abusive Tax Strategies JoySeraBhattacharya.html ErikHemberg.html Una-MayO'Reilly.html
11. Bi:2026:swevo A new genetic programming approach to dynamic multi-point dynamic aggregation problem YingBi.html XishuiXue.html Ya-HuiJia.html CaitongYue.html KaiZhang.html
12. briesch:2026:EuroGP On the Effects of Down-Sampling for Tournament and Lexicase Selection in Program Synthesis MartinBriesch.html
13. 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
14. TooL_artifact_2024 Artifact of Enhancing Search-Based Testing with LLM for Finding Bugs in System Simulators AidanDakhama.html KarineEven-Mendoza.html WilliamBLangdon.html HectorMenendez.html JustynaPetke.html
15. de-la-torre:2026:EuroGP A Comparative Study on Robustness in Evolved Image Classifiers CamiloDeLaTorre.html StephaneTreillard.html CamilleFranchet.html HerveLuga.html DennisGWilson.html SylvainCussat-Blanc.html
16. farinati:2026:EuroGP NEVO-GSPT: Population-Based Neural Network Evolution Using Inflate and Deflate Operators DavideFarinati.html FredericoJJBSantos.html LeonardoVanneschi.html MauroCastelli.html
17. Fernandes:2026:raLGP An FPGA-Based Architecture for Accelerating Linear Genetic Programming Evaluation MarinaFernandes.html ChristopherCCrary.html BogdanBurlacu.html WesleyPPiard.html GregStitt.html WolfgangBanzhaf.html StephenKelly.html
18. fontbonne:tel-04137256 Individual and group learning dynamics in evolutionary collective robotics NicolasFontbonne.html
19. AGeyer-Schulz2024-01 xegaSelectGene: Selection of Genes and Gene Representation Independent Functions AndreasGeyer-Schulz.html
20. AGeyer-Schulz2024-02 xegaBNF: Compile a Backus-Naur Form Specification into an R Grammar Object AndreasGeyer-Schulz.html
21. AGeyer-Schulz2024-03 xegaDerivationTrees: Generating and Manipulating Derivation Trees AndreasGeyer-Schulz.html
22. AGeyer-Schulz2024-04 xegaGaGene: Binary Gene Operations for Genetic Algorithms AndreasGeyer-Schulz.html
23. AGeyer-Schulz2024-05 xegaDfGene: Gene Operations for Real-Coded Genes AndreasGeyer-Schulz.html
24. AGeyer-Schulz2024-06 xegaPermGene: Operations on Permutation Genes AndreasGeyer-Schulz.html
25. AGeyer-Schulz2024-07 xegaGpGene: Genetic Operations for Grammar-Based Genetic Programming AndreasGeyer-Schulz.html
26. AGeyer-Schulz2024-08 xegaGeGene: Grammatical Evolution AndreasGeyer-Schulz.html
27. AGeyer-Schulz2024-09 xegaPopulation: Genetic Population Level Functions AndreasGeyer-Schulz.html
28. AGeyer-Schulz2024-10 xega: Extended Evolutionary and Genetic Algorithms AndreasGeyer-Schulz.html
29. AGeyer-Schulz2024 Meta-Genetic Algorithms with the xega R-Package AndreasGeyer-Schulz.html
30. AGeyer-Schulz2025 xegaX. A Family of R-Packages for Genetic and Evolutionary Algorithms with Multiple Genome Representations AndreasGeyer-Schulz.html
31. Helmuth:2026:sigevolution The 2025 ACM GECCO Impact Award: General Program Synthesis Benchmark Suite ThomasHelmuth.html LeeSpector.html
32. hrvatic:2026:EuroGP Semantic Search Trajectory Networks for Understanding Genetic Programming JosipHrvatic.html MagdaSmolic-Rocak.html MarkoDurasevic.html GabrielaOchoa.html
33. huang2025bridgingfitnesssearchspaces Bridging Fitness With Search Spaces By Fitness Supremums: A Theoretical Study on LGP ZhixingHuang.html YiMei.html FangfangZhang.html MengjieZhang.html WolfgangBanzhaf.html
34. Huang:2026:raLGP A Theoretical Study On Fitness Supremum in Linear Genetic Programming ZhixingHuang.html YiMei.html FangfangZhang.html MengjieZhang.html WolfgangBanzhaf.html
35. kocherovsky:2026:EuroGP Node Preservation and its Effect on Crossover in Cartesian Genetic Programming MarkKocherovsky.html IllyaBakurov.html WolfgangBanzhaf.html
36. kocherovsky:2026:EuroGP2 New Perspectives on Cartesian Genetic Programming: A Survey MarkKocherovsky.html HenningCui.html IllyaBakurov.html MichaelHeider.html RomanTobiasKalkreuth.html WolfgangBanzhaf.html
37. langdon:2026:sigevolution Who Found What: Searches of the Genetic Programming Bibliography WilliamBLangdon.html
38. lavinas:2026:EuroGP Reducing Computational Overhead in Biomedical Image Segmentation via Active Learning and PCA-Based Diversity Filtering in CGP YuriLavinas.html NathanielHaut.html SylvainCussat-Blanc.html WolfgangBanzhaf.html
39. Liao:2026:swevo A Multi-population genetic programming algorithm to model estimation for LLC resonant converter YuefengLiao.html ZhiqiangWang.html YingBi.html JingLiang.html XiaoHan.html
40. Liu:2026:raLGP Evolution of Heuristics using Large Language Models FeiLiu.html ZhichaoLu.html ZhenkunWang.html QingfuZhang.html
41. Liu:2025:researchsquare Semantic Valued Schema Theory of Genetic Programming in Symbolic Regression YilinLiu.html ZhengwenHuang.html
42. Louloudakis:2026:ICSE_NIER A Selective Quantization Tuner for ONNX Models NikolaosLouloudakis.html AjithaRajan.html
43. Manzoni:2026:GP EuroGP 2026: Proceedings of the 29th European Conference on Genetic Programming LucaManzoni.html SylvainCussat-Blanc.html QiChen.html
44. Megane:2026:GPEM Exploring grammar-guided design and evolution of polyominoes with modular soft robots JessicaMegane.html EricMedvet.html NunoLourenco.html PenousalMachado.html
45. Meng:2026:patcog Developing distance-based genetic programming classifiers by reconstructing datasets for imbalanced binary classification WenyangMeng.html YingLi2.html FanZhang.html Xiaoying_Sharon_Gao.html JianbinMa.html
46. miranda:2026:EuroGP Sinking the Bloat in Genetic Programming Using Equality Saturation LucasMiranda.html EmiliodeCamargoFrancesquini.html FabricioOlivettideFranca.html MatheusCamposFernandes.html
47. Nadizar:2025:sigevolution Towards Bio-Inspired Interpretable Embodied Artificial Intelligence GiorgiaNadizar.html
48. nadizar:2026:EuroGP Optimal Mixing in Graph-Based GP for Control: Genotypical Dependencies Are Hardly Captured GiorgiaNadizar.html GloriaPietropolli.html EricMedvet.html
49. naqvi:2026:EuroGP Dynamic Vector and Matrix Memory for Tangled Program Graphs AliNaqvi.html StephenKelly.html
50. Naqvi:2026:raLGP Path-Local Learning in Reward-Modulated Tangled Program Graphs AliNaqvi.html StephenKelly.html
51. Nguyen:2026:GPEM Towards online genetic programming approach to dynamic flexible job shop scheduling SuNguyen.html BinhNganTran.html XuanNamNgo.html DuyThinhTran.html
52. pereira:2026:EuroGP Extended Semantics Operator for Genetic Programming: A Semantic-Density Approach to Improve Model Robustness SofiaCarreiradaConceicaoAlvesPereira.html LeonardoVanneschi.html
53. Qiu:2026:raLGP Small Nimble LGP Populations for Shifting Streaming Classification Tasks ZiyuQiu.html MalcolmHeywood.html
54. ramlan:2026:EuroGP Extending Model Selection Criteria with Extrapolation and Sensitivity Penalties for Symbolic Regression FitriaWulandariRamlan.html ColmO'Riordan.html JamesMcDermott.html
55. Reuter:thesis Development of symbolic models using genetic programming and domain knowledge JuliaReuter.html
56. Rockett:2026:GPEM Solving ordinary differential equations with genetic programming with hard initial/boundary value constraints PeterIRockett.html
57. SAIDANI_Islem Toward better understanding and supporting of Continuous Integration (CI) practices IslemSaidani.html
58. silva:2026:EuroGP Revisiting SLIM: Improved Learning Dynamics and Model Compactness in Symbolic Regression GorkaSilva.html LachlanStewart.html IllyaBakurov.html MauroCastelli.html DavideFarinati.html JoseManuelMunozContreras.html LeonardoTrujillo.html LeonardoVanneschi.html
59. Spector:2026:raLGP Linear Genetic Programming with Push LeeSpector.html ThomasHelmuth.html
60. Squillero:2026:raLGP TinyLGP: A Minimalist Implementation of Linear Genetic Programming GiovanniSquillero.html AlbertoTonda.html RomanTobiasKalkreuth.html FabricioOlivettideFranca.html
61. stanovov:2026:EuroGP Comparison of Parent and Environmental Selection Schemes in Genetic Programming VladimirStanovov.html
62. Tanev:2026:AROB-ISBC Evolving the Models of Friction Coefficients of Automobile Tires via Genetic Programming IvanTTanev.html HiroshigeHasegawa.html ManakaTokiwai.html
63. templier2024synergies Leveraging Structures in Evolutionary Neural Policy Search PaulTemplier.html
64. Templier:2025:sigevolution Leveraging Structures in Evolutionary Neural Policy Search PaulTemplier.html
65. vacher:2026:EuroGP Multi-Action Tangled Program Graphs for Multi-Task Reinforcement Learning with Continuous Control QuentinVacher.html NicolasBeuve.html MickaelDardaillon.html KarolDesnos.html
66. Vanneschi:2026:GPEM SLIM: the non-bloating genetic programming with geometric semantic mutations and meaningful semantic crossover LeonardoVanneschi.html SofiaCarreiradaConceicaoAlvesPereira.html DavideFarinati.html
67. Qinyu_Wang:2026:CIS A new genetic programming approach to fine-grained flower image classification QinyuWang.html YingBi.html BingXue.html MengjieZhang.html
68. Yin:thesis Essays on Genetic Programming Applied to Financial Modelling ZhengYin.html
69. Yu:2025:PRICAI A Skin Cancer Classification Method Based on Genetic Programming with New Region Detection Operators KunjieYu.html MengyuWang.html YingBi.html JingLiang.html BingXue.html MengjieZhang.html
70. zhang:2026:EuroGP Multi-tree Genetic Programming with Semantic Complementarity for Feature Construction in Symbolic Regression JiayuZhang.html QiChen.html BingXue.html MengjieZhang.html
71. Zoeller:thesis Automated generation of pipelines for machine learning in industrial manufacturing Marc-AndreZoeller.html

Modified

1. 31 Ahmadi:2024:swevo Bi-level game theoretic approach for robust design: A case study of path-generating four-bar BahmanAhmadi.html AliJamali.html RammohanMallipeddi.html NaderNariman-Zadeh.html BehzadAhmadi.html HamidKhayyam.html
2. 1 almarimi2020community On the Detection of Community Smells using Genetic Programming-based Ensemble Classifier Chain NuriAlmarimi.html AliOuni.html MoatazChouchen.html IslemSaidani.html MohamedWiemMkaouer.html
3. rimas:2024:CEC Feature Selection for GPSR Based on Maximal Information Coefficient and Shapley Values MohamadRimasMohamadAnfar.html QiChen.html MengjieZhang.html
4. rimas:2024:AI Importance-Based Pruning for Genetic Programming Based Symbolic Regression MohamadRimasMohamadAnfar.html QiChen.html MengjieZhang.html
5. 21 antonov:2024:GECCO A Functional Analysis Approach to Symbolic Regression KirillAntonov.html RomanTobiasKalkreuth.html KaifengYang.html ThomasBack.html NikivanStein.html AnnaVKononova.html
6. 22 Aziz:2016:EuroGP Search-Based SQL Injection Attacks Testing using Genetic Programming BenjaminAziz.html MohamedBahyBader-El-Den.html CeranaHippolyte.html
7. 4 Balicki:2006:IJCSNS Multicriterion Genetic Programming for Trajectory Planning of Underwater Vehicle JerzyBalicki.html
8. 1 banzhaf:2003:GPTP Artificial Regulatory Networks and Genetic Programming WolfgangBanzhaf.html
9. 11 Benbassat:2013:CIG EvoMCTS: Enhancing MCTS-based players through genetic programming AmitBenbassat.html MosheSipper.html
10. 1 Berardi:2008:JH Development of pipe deterioration models for water distribution systems using EPR LuigiBerardi.html ZoranKapelan.html OrazioGiustolisi.html DraganSavic.html
11. 1 berarducci:2004:ugw:pber GEVOSH: Using Grammatical Evolution to Generate Hashing Functions PatrickBerarducci.html DemetriusJordan.html DavidMartin.html JenniferSeitzer.html
12. 1 Berutich:thesis Robust Optimization of Algorithmic Trading Systems JoseManuelBerutich.html
13. 1 Bidlo:2013:CEC Evolution of Cellular Automata with Conditionally Matching Rules MichalBidlo.html ZdenekVasicek.html
14. 1 bosamiya-thesis A Principled Approach Towards Unapologetic Security JayBosamiya.html
15. 14 Cao:2024:ijfatigue Estimation and validation for fatigue properties of steels by symbolic regression WeiwenCao.html XingyueSun.html XuChen.html
16. 1 carlet:2025:EuroGP A Systematic Evaluation of Evolving Highly Nonlinear Boolean Functions in Odd Sizes ClaudeCarlet.html MarkoDurasevic.html DomagojJakobovic.html StjepanPicek.html LucaMariot.html
17. 10 Cattani:2010:cec ME-CGP: Multi Expression Cartesian Genetic Programming PhilipTCattani.html ColinGJohnson.html
18. 5 Chaudhary:2009:INMIC Determination of optimum genetic parameters for symbolic non-linear regression-like problems in genetic programming UsmanKhurshidChaudhary.html MasoodIqbal.html
19. 7 DBLP:journals/ijpr/ChenLG24 A surrogate-assisted dual-tree genetic programming framework for dynamic resource constrained multi-project scheduling problem HaojieChen.html XinyuLi.html LiangGao.html
20. 8 chen:2023:BIC-TA Transformer Surrogate Genetic Programming for Dynamic Container Port Truck Dispatching XinanChen.html JingDong.html RongQu.html RuibinBai.html
21. 35 CUEVAS:2018:ESA A selection method for evolutionary algorithms based on the Golden Section ErikValdemarCuevasJimenez.html LuisEduardoEnriquezPerez.html DanielZaldivarNavarro.html MarcoAntonioPerezCisneros.html
22. 4 Cullen:2009:GEC Evolving common LISP programs in a linear-genotype evolutionary computation system JamieCullen.html
23. 4 DeFreitas:2018:CECdiogo Mutation-Based Evolutionary Fault Localisation JoaoMarcosdeFreitas.html PliniodeSaLeitaoJunior.html CelsoGCamilo-Junior.html RachelHarrison.html
24. 6 deFreitas:2018:CEC Evolving Controllers for Mario AI Using Grammar-based Genetic Programming JoaoMarcosdeFreitas.html FelipeRafaeldeSouza.html HederSoaresBernardino.html
25. 2 Eelco-den-Heijer-Autonomous-Evolutionary-Art-2013 Autonomous Evolutionary Art EelcodenHeijer.html
26. 1 david-dewhurst-phd-dissertation Essays on modeling and analysis of dynamic sociotechnical systems DavidRushingDewhurst.html
27. 1 Dong:ieeeTEC Evolving Equation Learner For Symbolic Regression JunlanDong.html JinghuiZhong.html Wei-LiLiu.html JunZhang.html
28. 4 Dracopoulos:2013:HCSR Genetic programming as a solver to challenging reinforcement learning problems DimitrisCDracopoulos.html DimitriosEffraimidis.html BarryDNichols.html
29. 32 Durasevic:2024:EA2 Designing Less Myopic Routing Policies with Genetic Programming for the Electric Vehicle Routing Problem MarkoDurasevic.html FranciscoJavierGilGala.html
30. 8 Even-Mendoza:2025:ASE_NIER LLM-Guided Genetic Improvement: Envisioning Semantic Aware Automated Software Evolution KarineEven-Mendoza.html AlexanderEIBrownlee.html AlinaGeiger.html CarolHanna.html JustynaPetke.html FedericaSarro.html DominikSobania.html
31. 17 FAYOLLE:2024:cad A Survey of Methods for Converting Unstructured Data to CSG Models Pierre-AlainFayolle.html MarkusFriedrich.html
32. 2 Fitzgerald:2014:cicsyn Selection Bias and Generalisation Error in Genetic Programming JeannieFitzgerald.html ConorRyan.html
33. 1 Gaaloul:thesis Verification of Design Models of Cyber-Physical Systems Specified in Simulink KhouloudGaaloul.html
34. 1 geiger:2025:EuroGP Was Tournament Selection All We Ever Needed? A Critical Reflection on Lexicase Selection AlinaGeiger.html MartinBriesch.html DominikSobania.html FranzRothlauf.html
35. 1 Gilbert:thesis Applications of Group Theory to Representation for Computational Intelligence JeremyGilbert.html
36. 25 Go:2022:HNICEM Ubiquitous Limited Sensor-based Weather Binary Prediction Network Using Linear and Nonlinear Fittings and 14-gene Genetic Expression TyroneAshleyGo.html JoseAntonioCadavillo.html JoyceYuenlamCai.html DmitriChuacuco.html JonahJaharaGarciaBaun.html ArgelABandala.html RonnieSConcepcionII.html
37. 4 goldman:2013:EuroGP Reducing Wasted Evaluations in Cartesian Genetic Programming BrianWGoldman.html WilliamFPunch.html
38. 1 grosan-stock Stock Market Prediction Using Multi Expression Programming CrinaGrosan.html AjithAbraham.html VitorinoJCasteloRamos.html SangYongHan.html
39. 4 Guadalupe-Hernandez:2021:GPTP An Exploration of Exploration: Measuring the Ability of Lexicase Selection to Find Obscure Pathways to Optimality JoseGuadalupeHernandez.html AlexanderLalejini.html CharlesOfria.html
40. 2 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
41. 26 Han:2025:CIM Transformer-Assisted Genetic Programming for Symbolic Regression [Research Frontier] XiaoxuHan.html JinghuiZhong.html ZhitongMa.html XinMu.html NikolaGligorovski.html
42. 9 Harvey:thesis Automated Feature Design for Time Series Classification by Genetic Programming DustinYHarvey.html
43. 4 Helmuth:2015:GECCO General Program Synthesis Benchmark Suite ThomasHelmuth.html LeeSpector.html
44. 1 HU:2023:powtec Development of drag force model for predicting the flow behavior of porous media based on genetic programming MingjianHu.html YinWang.html YeweiLi.html ZiyiPang.html YubinRen.html
45. 2 Ishino:2002:AEI Estimate design intent: a multiple genetic programming and multivariate analysis based approach YokoIshino.html YanJin.html
46. 4 ito:1998:ddx Depth-Dependent Crossover for Genetic Programming TakuyaIto.html HitoshiIba.html SatoshiSato.html
47. 1 jadhwani:2026:GI Applying Genetic Improvement Techniques for Automated Program Repair of Transpiled Code PrashamJadhwani.html CarolHanna.html WilliamBLangdon.html JustynaPetke.html
48. 1 jin:2020:SaMO Compositional kernel learning using tree-based genetic programming for Gaussian process regression Seung-SeopJin.html
49. 1 Kelly:GPEM Evolving hierarchical memory-prediction machines in multi-task reinforcement learning StephenKelly.html TatianaVoegerl.html WolfgangBanzhaf.html CedricGondro.html
50. 1 Khan:2022:Materials Predicting the Ultimate Axial Capacity of Uniaxially Loaded CFST Columns Using Multiphysics Artificial Intelligence SangeenKhan.html MohsinAliKhan.html AdeelZafar.html MuhammadFaisalJaved.html FahidAslam.html MuhammadAliMusarat.html NikolaiIvanovichVatin.html
51. 6 Kino:2020:SICE Proposal of Surrogate Model for Genetic Programming Based on Program Structure Similarity SoheiKino.html TomohiroHarada.html RuckThawonmas.html
52. 1 kleinau:2003:MIC Deriving simple (R,T)-policies with Genetic Programming PeerKleinau.html
53. 2 kleinau:thesis_book Application of Genetic Programming to Finance and Operations Management PeerKleinau.html
54. 17 Koc:2015:CILS A genetic programming-based QSPR model for predicting solubility parameters of polymers DilekImrenKoc.html MehmetLeventKoc.html
55. 1 Kofod-petersen:masters Adaptive Behaviour Based Robotics using On-Board Genetic Programming AndersKofod-Petersen.html
56. 21 Krawiec:2014:GECCO Behavioral programming: a broader and more detailed take on semantic GP KrzysztofKrawiec.html Una-MayO'Reilly.html
57. 1 langdon:2024:sigevolution Searching the Genetic Programming Bibliography WilliamBLangdon.html
58. 2 langdon:2024:ASE Deep Imperative Mutations have Less Impact WilliamBLangdon.html DavidClark.html
59. 9 Langdon:2026:raLGP Long Term Evolution Experiments with Linear Genetic Programming WilliamBLangdon.html
60. 36 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
61. 21 Li:2025:cnsns An evolutionary approach for discovering non-Gaussian stochastic dynamical systems based on nonlocal Kramers-Moyal formulas YangLi2.html ShengyuanXu.html JinqiaoDuan.html
62. 4 Lipson:book Fabricated: The New World of 3D Printing HodLipson.html MelbaKurman.html
63. 29 Liu:2023:ICTIS Optimization of ship command and dispatch in the waters between the three gorges dams based on GP algorithm QingLiu.html ZhuofengTang.html ZheCong.html LeiWang2.html
64. 2 DBLP:journals/rcs/Loaiza-Meseguer22 Genetic Programming in Software Engineering LeslieLoaiza-Meseguer.html AngelJuanSanchez-Garcia.html JorgeOctavioOcharan-Hernandez.html
65. 2 Luke2009Metaheuristics Essentials of Metaheuristics SeanLuke.html
66. 1 MA:2023:swevo Multi-generation multi-criteria feature construction using Genetic Programming JianbinMa.html Xiaoying_Sharon_Gao.html YingLi2.html
67. 16 majeed:gecco05ws A New Approach to Evaluate GP Schema in Context HammadMajeed.html
68. 2 Manahov:2016:IRFA A note on the relationship between high-frequency trading and latency arbitrage ViktorManahov.html
69. 3 reference/ai/ManriqueRR09 Grammar-Guided Genetic Programming DanielManriqueGamo.html JuanRiosCarrion.html AlfonsoRodriguez-PatonAradas.html
70. 1 MENG:2024:asoc Ensemble classifiers using multi-objective Genetic Programming for unbalanced data WenyangMeng.html YingLi2.html Xiaoying_Sharon_Gao.html JianbinMa.html
71. 1 KumarBentley2003 Evolving the program for a cell: from French flags to Boolean circuits JulianFMiller.html WolfgangBanzhaf.html
72. 1 Miller:GPEM20 Cartesian Genetic Programming: its status and future JulianFMiller.html
73. 4 moller:2023:AI An adaptive mutation for cartesian genetic programming using an epsilon-greedy strategy FredericoJoseDiasMoller.html HederSoaresBernardino.html StenioSaRosarioFurtadoSoares.html LucasAugustoMullerdeSouza.html
74. 1 Nadizar:thesis Towards Bio-Inspired Interpretable Embodied Artificial Intelligence: Merging Bio-Mimicry with Transparency in Robot Controllers GiorgiaNadizar.html
75. 1 Nguyen:2020:IDA AVATAR Machine Learning Pipeline Evaluation Using Surrogate Model Tien-DungNguyen.html TomaszMaszczyk.html KatarzynaMusialGabrys.html Marc-AndreZoeller.html BogdanGabrys.html
76. 1 Niekum:2010:ieeeTAMD Genetic Programming for Reward Function Search ScottNiekum.html AndrewGBarto.html LeeSpector.html
77. 8 Oduguwa:2005:ASC Evolutionary computing in manufacturing industry: an overview of recent applications VictorOduguwa.html AshutoshTiwari.html RajkumarRoy.html
78. 8 ozdemir:2022:AJSE A New Predictive Model for Uniaxial Compressive Strength of Rock Using Machine Learning Method: Artificial Intelligence-Based Age-Layered Population Structure Genetic Programming (ALPS-GP) EnginOzdemir.html
79. 21 Pacioni:2025:evoapplications FedGP: Genetic Programming for Evolutionary Aggregation in Federated Learning with Non-IID Data EliaPacioni.html FranciscoFernandezdeVega.html DavideCalvaresi.html
80. 12 DBLP:conf/eurocast/ParraJGVGCH22 Obtaining Difference Equations for Glucose Prediction by Structured Grammatical Evolution and Sparse Identification DanielParraRodriguez.html DavidJoedicke.html AlbertoGutierrez.html JoseManuelVelascoCabo.html OscarGarnica.html JManuelColmenar.html JoseIgnacioHidalgoPerez.html
81. 1 peng:2022:EuroRadiology Automatic machine learning based on native T1 mapping can identify myocardial fibrosis in patients with hypertrophic cardiomyopathy Wan-LinPeng.html Tian-JingZhang.html KeShi.html Hai-XiaLi.html YingLi3.html SenHe.html ChenLi.html DongXia.html Chun-ChaoXia.html Zhen-LinLi.html
82. 2 Peng:2021:BMCGenomics GEP-EpiSeeker: a gene expression programming-based method for epistatic interaction detection in genome-wide association studies Yu-zhongPeng.html YanmeiLin.html YiranHuang.html YingLi4.html GuangshengLuo.html JianpingLiao.html
83. Pichardo:2020:SIMMAC Genetic programming to obtain mathematical models from turbine data using symbolic regression RomeroPichardo.html ErickJacob.html
84. 23 Piszcz:2007:lobo Genetic Programming: Parametric Analysis of Structure Altering Mutation Techniques AlanPiszcz.html TerenceSoule.html
85. 1 ramlan:2023:LOD Genetic Programming with Synthetic Data for Interpretable Regression Modelling and Limited Data FitriaWulandariRamlan.html JamesMcDermott.html
86. 1 ramlan:2025:GECCOcomp Can Synthetic Data Improve Symbolic Regression Extrapolation Performance? FitriaWulandariRamlan.html ColmO'Riordan.html GabrielKronberger.html JamesMcDermott.html
87. 1 real2019regularized Regularized Evolution for Image Classifier Architecture Search EstebanReal.html AlokAggarwal.html YanpingHuang.html QuocVLe.html
88. 3 reissmann:2025:GPEM Constraining genetic symbolic regression via semantic backpropagation MaximilianReissmann.html YuanFang.html AndrewSHOoi.html RichardDSandberg.html
89. 2 Seesing:mastersthesis EvoTest Test Case Generation Using Genetic Programming and Software Analysis ArjanSeesing.html
90. 6 song:2024:PPSN Symbol Graph Genetic Programming for Symbolic Regression JingluSong.html QiangLu.html BozhouTian.html JingwenZhang.html JakeLuo.html ZhiguangWang.html
91. 17 Soni:2017:RTEICT Inventory forecasting model using genetic programming and Holt-Winter's exponential smoothing method RSSoni.html DasariSrikanth.html
92. 1 Tanev:2003:ECAL Effects of Learning to Interact on the Evolution of Social Behavior of Agents in Continuous Predators-prey Pursuit Problem IvanTTanev.html KatsunoriShimohara.html
93. 22 teixeira:2025:GECCO Transformers as Surrogate Models for Genetic Programming in AutoML Tasks MatheusCandidoTeixeira.html GiseleLPappa.html
94. 1 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
95. voss:gecco03lbp Social Programming on MARS: A Benchmark Study MarkSethVoss.html
96. 5 Wang:2023:TVT Channel Prediction Using Ordinary Differential Equations for MIMO systems LeiWang2.html GuanzhangLiu.html JiangXue.html Kat-KitWong.html
97. 1 Wang:2022:ICCT Channel Prediction Using a System of Ordinary Differential Equation LeiWang2.html GuanzhangLiu.html JiangXue.html
98. 18 wei:2025:GECCOcomp Refining Neural Network with Symbolic Regression WeiWei2.html QiangLu.html CanHuang.html JakeLuo.html
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