Changes to Genetic Programing Bibliography since 2025/12/10

New and modified entries

New

  1. Aldeia:thesis Current Challenges of Symbolic Regression: Optimization, Selection, Model Simplification, and Benchmarking GuilhermeSeidyoImaiAldeia.html
  2. Bin_Cao:ieeeTEC Comprehensive-Forecast Multiobjective Genetic Programming for Neural Architecture Search BinCao.html XiaoLuo2.html XinLiu.html YunLi.html
  3. Carlet:2026:GPEM A systematic study on the design of odd-sized highly nonlinear boolean functions via evolutionary algorithms ClaudeCarlet.html MarkoDurasevic.html DomagojJakobovic.html StjepanPicek.html LucaMariot.html
  4. Chen:2026:ieeeTEC Multi-Tree Genetic Programming With Deep Contextual Bandits for Learning-Assisted Scheduling of Cluster Tools Integrating Stockers LiangChaoChen.html YiMingLai.html YanQiao.html NaiQiWu.html XinLuo.html
  5. 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
  6. 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
  7. Qinglan_Fan:ieeeTEC ES-GP: An Ensemble Surrogate-Assisted Genetic Programming Approach to Image Classification QinglanFan.html YunfengZhang.html XunxiangYao.html YingBi.html BingXue.html MengjieZhang.html
  8. Farinati:2026:ieeeTEC A Study on the Dynamics and Effectiveness of the Deflate Geometric Semantic Mutation DavideFarinati.html GloriaPietropolli.html LeonardoVanneschi.html
  9. Geiger:2026:TELO A Performance Analysis of Lexicase-Based and Traditional Selection Methods in GP for Symbolic Regression AlinaGeiger.html DominikSobania.html FranzRothlauf.html
  10. DBLP:phd/tr/Gorkemli15 Yapay ar\i koloni programlama (ABCP) y\"ontemlerinin geli\cstirilmesi ve sembolik regresyon problemlerine uygulanmas\i (Developing new artificial bee colony programming (ABCP) methods and symbolic regression applications) BeyzaGorkemli.html
  11. Han:2026:ieeeTEC Multi-Granularity Adversarial Attacks on Large Language Models Using Genetic Programming WenchengHan.html HaoLi2.html MaoguoGong.html YuZhou.html YueWu.html AKaiQin.html LiningXing.html
  12. Hayslep:2025:TELO Leakage Prediction in Real-World Water Distribution Networks Using Multi-Objective Multi-Gene Genetic Programming MatthewHayslep.html EdKeedwell.html RaziyehFarmani.html
  13. Hernandez-Orallo:2017:AIreview Evaluation in artificial intelligence: from task-oriented to ability-oriented measurement JoseHernandez-Orallo.html
  14. Hippel:2025:JHEP Refining Integration-by-Parts Reduction of Feynman Integrals with Machine Learning MattvonHippel.html MatthiasOliverWilhelm.html
  15. Huang:2026:ieeeTEC POGP: Probabilistic Genetic Programming With Knowledge Learning for Few-Shot Image Classification XiaowenHuang.html ZiluWang.html ZiluWang.html LeYang.html HongsongWang.html LeiminWang.html
  16. Huang:2025:EC Cross-Representation Genetic Programming: A Case Study on Tree-Based and Linear Representations ZhixingHuang.html YiMei.html FangfangZhang.html MengjieZhang.html WolfgangBanzhaf.html
  17. 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
  18. Li:2026:ieeeTEC CoCoEvo: Co-Evolution of Programs and Test Cases to Enhance Code Generation KefanLi.html YuanYuan.html HongyueYu.html TingyuGuo.html ShijieCao.html
  19. Liao:2026:ieeeTEC GPLight+: A Genetic Programming Method for Learning Symmetric Traffic Signal Control Policy Xiao-ChengLiao.html YiMei.html MengjieZhang.html
  20. Ma:2026:EC GESR: A Geometric Evolution Model for Symbolic Regression ZhitongMa.html JinghuiZhong.html
  21. FatemehMottaghian2023 Design and Optimization of Adhesively Bonded Joints Mating Novel 3D-Fiber Metal Laminates Subjected to Static and Dynamic In-plane and Out-of-plane Loadings FatemehMottaghian.html
  22. Nemeth:2026:TELO Revisiting the Fitness Landscape of Genetic Improvement for Source Code: A Phenotypic Speciation Approach ZsoltNemeth.html PenelopeFaulknerRainford.html BarryPorter.html
  23. Scheepers:2026:GPEM A structure-based genetic programming generation constructive hyper-heuristic with transfer learning for combinatorial optimisation DariusScheepers.html NelishiaPillay.html
  24. Silva:2026:ieeeTEC Controlling Functional Complexity for Overfitting Reduction and Improved Interpretability in GP SaraSilva.html InesMagessi.html LeonardoVanneschi.html
  25. Zaixing_Sun:TSC2 Cooperative Coevolution Genetic Programming for Dynamic Joint Workflow Scheduling and Container Scaling in Cloud-Fog Computing ZaixingSun.html FangfangZhang.html YiMei.html HejiaoHuang.html ChonglinGu.html BinWang.html MengjieZhang.html
  26. Toutouh:2026:GPEM Xin Yao and Siang Yew Chong: Coevolutionary Computation and Its Applications, Springer, 2025, Hardcover, 487 pp, ISBN: 978-981-96-2840-7 JamalToutouh.html
  27. Trujillo:ieeeTEC Characterizing the Feature Space Transformations Produced by Genetic Programming Using the Optimal Transport Dataset Distance LeonardoTrujillo.html JoelNation.html
  28. Tsoi:thesis Search for exotic Higgs boson decays with CMS and fast machine learning solutions for the LHC HoFungTsoi.html
  29. Tsoi:2025:CS4BS SymbolFit: Automatic Parametric Modeling with Symbolic Regression HoFungTsoi.html DylanRankin.html CecileCaillol.html MilesCranmer.html SridharaDasu.html JavierDuarte.html PhilipHarris.html ElliotLipeles.html VladimirLoncar.html
  30. Chunyu_Wang:2026:ieeeTEC Multi-Task Semantic Genetic Programming With Reinforcement Learning for Multi-Output Symbolic Regression ChunyuWang.html QiChen.html BingXue.html MengjieZhang.html
  31. Qinyu_Wang:2026:ieeeTEC Co-Evolutionary Dual-Tree Genetic Programming for Fine-Grained Flower Image Classification QinyuWang.html YingBi.html BingXue.html MengjieZhang.html
  32. Yong_Wang:TETCI Niching Genetic Programming With Elite Archive for Multi-Objective Dynamic Scheduling YongWang.html JieZhang3.html FangfangZhang.html GaigeWang.html MengjieZhang.html
  33. Wu:2026:ieeeTEC Multitree Genetic Programming for Multimodal Learning in Multimodal Medical Image Classification ZhichengWu.html BingXue.html MengjieZhang.html
  34. Xu:2025:ieeeTEC Probe Population-Based Initialization and Genetic Pool-Based Reproduction for Evolutionary Bi-Objective Feature Selection HangXu.html BingXue.html MengjieZhang.html
  35. Meng_Xu:ieeeTEC4 Pareto Set Learning through Genetic Programming for Multi-Objective Dynamic Scheduling MengXu.html YiMei.html FangfangZhang.html Yew-SoonOng.html MengjieZhang.html
  36. Meng_Xu:ieeeTEC5 Niching Genetic Programming to Learn Actions for Deep Reinforcement Learning in Dynamic Flexible Scheduling MengXu.html YiMei.html FangfangZhang.html MengjieZhang.html
  37. Xingsi_Xue:ieeeTEC Collaborative Ontology Matching With Dual Population Genetic Programming and Active Meta-Learning XingsiXue.html JerryChun-WeiLin.html ZhaohangJiang.html
  38. Xingsi_Xue:ieeeTEC2 Adaptive Similarity Feature Construction for Ontology Matching via Multi-Layer Hybrid Genetic Programming XingsiXue.html YiMei.html BaozhongZhao.html MengjieZhang.html
  39. Zhang:2026:EC Genetic Programming with Tabu List for Dynamic Flexible Job Shop Scheduling FangfangZhang.html MazharAnsariArdeh.html YiMei.html MengjieZhang.html
  40. Zhang:2026:ieeeTEC LAS-GP: Harnessing Large Semantic Libraries for Evolutionary Feature Construction in Symbolic Regression HengzheZhang.html QiChen.html BingXue.html WolfgangBanzhaf.html MengjieZhang.html
  41. Zhang:2026:ieeeTEC2 Enhancing Generalization in Evolutionary Feature Construction for Symbolic Regression Through Vicinal Jensen Gap Minimization HengzheZhang.html QiChen.html BingXue.html WolfgangBanzhaf.html MengjieZhang.html
  42. Zhao:2026:ieeeTEC A Deep Reinforcement Learning Framework Assisted by Genetic Programming for Dynamic Flexible Job Shop Scheduling FuqingZhao.html ChengZhao.html LingWang.html HongyanSang.html
  43. Zheng:2026:ieeeTEC Discovering Infinite Recursive Conjectures Through Genetic Programming Min-YiZheng.html YuehengWang.html JinghuiZhong.html JunZhang.html
  44. Zhou:2025:ieeeTEC Evolutionary Computation and Explainable AI: A Roadmap to Understandable Intelligent Systems RyanZhou.html JaumeBacardit.html AlexanderEIBrownlee.html StefanoCagnoni.html MartinFyvie.html GiovanniIacca.html JohnAWMcCall.html NikivanStein.html DavidWalker.html TingHu.html
  45. Zhou:2026:TELO Gradient Boosted Programming for Low Cardinality Classification ZhileiZhou.html MalcolmHeywood.html

Modified

  1. 1 ADEGBOYE:2021:ESA Machine learning classification and regression models for predicting directional changes trend reversal in FX markets AdesolaNoahAdegboye.html MichaelKampouridis.html
  2. 16 Al-Helali:EC Genetic Programming-based Feature Selection for Symbolic Regression on Incomplete Data BalighAl-Helali.html QiChen.html BingXue.html MengjieZhang.html
  3. 2 angeline:1997:tcbbe Subtree Crossover: Building Block Engine or Macromutation? PeterJohnAngeline.html
  4. 3 Arganis:2015:REDIN Daily rainfall interpolation models obtained by means of genetic programming MaritzaLilianaArganisJuarez.html MargaritaElizabethPreciadoJimenez.html KatyaRodriguez-Vazquez.html
  5. 2 Genmorph_TSE_2024 GenMorph: Automatically Generating Metamorphic Relations via Genetic Programming JonAyerdi.html ValerioTerragni.html GunelJahangirova.html AitorArrieta.html PaoloTonella.html
  6. 40 BEHBAHANI:2020:CBM Predictive model of modified asphalt mixtures with nano hydrated lime to increase resistance to moisture and fatigue damages by the use of deicing agents HamidBehbahani.html GholamHosseinHamedi.html VahidNajafiMoghaddamGilani.html
  7. Berlanga20101183 GP-COACH: Genetic Programming-based learning of COmpact and ACcurate fuzzy rule-based classification systems for High-dimensional problems FranciscoJoseBerlanga.html AntonioJesusRiveraRivas.html MariaJosedelJesus.html FranciscoHerrera.html
  8. 1 Blot:2020:EuroGP Comparing Genetic Programming Approaches for Non-Functional Genetic Improvement Case Study: Improvement of MiniSAT's Running Time AymericBlot.html JustynaPetke.html
  9. 26 Bremer:2025:UKCI Learning Parameterizable Decoders with Cartesian Genetic Programming JoergBremer.html SebastianLehnhoff.html
  10. 4 Briggs:2006:ASPGP Functional Genetic Programming with Combinators ForrestSBriggs.html MelissaEO'Neill.html
  11. 1 Chakraborti:2016:camdtpa Data-Driven Bi-Objective Genetic Algorithms EvoNN and BioGP and Their Applications in Metallurgical and Materials Domain NirupamChakraborti.html
  12. 5 Xiaolong_Chen:TEVC Optimizing Dynamic Flexible Job Shop Scheduling Using an Evolutionary Multi-Task Optimization Framework and Genetic Programming XiaolongChen.html JunqingLi.html ZunxunWang.html QingdaChen.html KaizhouGao.html QuankePan.html
  13. 8 Chen:TEVC Deep Reinforcement Learning Assisted Genetic Programming Ensemble Hyper-Heuristics for Dynamic Scheduling of Container Port Trucks XinanChen.html RuibinBai.html RongQu.html JingDong.html YaochuJin.html
  14. 1 Cimmino:book Enterprise Information Integration: On Discovering Links Using Genetic Programming AndreaJesusCimminoArriaga.html RafaelCorchueloGil.html
  15. 6 Crafa:2024:AJA Predictability of varicocele repair success: preliminary results of a machine learning-based approach AndreaCrafa.html MarcoRusso.html RossellaCannarella.html MuratGul.html MicheleCompagnone.html LauraMMongioi.html VittorioCannarella.html RositaACondorelli.html SandroLaVignera.html AldoECalogero.html
  16. 6 deFranca:ieeeTEC SRBench++: Principled Benchmarking of Symbolic Regression With Domain-Expert Interpretation FabricioOlivettideFranca.html MarcoVirgolin.html MichaelKommenda.html MaimunaMajumder.html MilesCranmer.html GuilhermeJorgeNunesMonteiroEspada.html LeonIngelse.html AlcidesFonseca.html MikelLandajuela.html BrendenKylePetersen.html RubenGlatt.html TNathanMundhenk.html ChakShingLee.html JacobDeanHochhalter.html DavidLRandall.html Pierre-AlexandreKamienny.html HengzheZhang.html GrantDick.html AlessandroSimon.html BogdanBurlacu.html JaanKasak.html MeeraMachado.html CasperWilstrup.html WilliamLaCava.html
  17. 4 Deschain:2001:ASTC Using Linear Genetic Programming to Develop a C/C++ Simulation Model of a Waste Incinerator LarryMDeschaine.html JanardanJPatel.html RonaldDGuthrie.html JosephTGrimski.html MauriceJAdes.html
  18. 6 Dong:ieeeTEC Evolving Equation Learner For Symbolic Regression JunlanDong.html JinghuiZhong.html Wei-LiLiu.html JunZhang.html
  19. 2 Donne:thesis Relationships Between Microseism Generation and Ocean Wave Parameters in the Northeast Atlantic, West of Ireland SarahDonne.html
  20. 1 even2025llm 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
  21. 6 Qinglan_Fan:ieeeTEC3 Multi-Tree Genetic Programming for Learning Color and Multi-Scale Features in Image Classification QinglanFan.html YingBi.html BingXue.html MengjieZhang.html
  22. 1 fan:2001:bgrgaafd Bond Graph Representation and GP for Automated Analog Filter Design ZhunFan.html JianjunHu.html KisungSeo.html ErikGoodman.html RonaldCRosenberg.html YutongChao.html
  23. 2 Ferrari:2024:PLOSdh Using interpretable machine learning to predict bloodstream infection and antimicrobial resistance in patients admitted to ICU: Early alert predictors based on EHR data to guide antimicrobial stewardship DavideFerrari.html PietroArina.html JonathanEdgeworth.html VasaCurcin.html VeronicaGuidetti.html FedericaMandreoli.html YanzhongWang.html
  24. 10 banzhaf:1997:emvsea On some emergent properties of variable size evolutionary algorithms WolfgangBanzhaf.html FrankDFrancone.html PeterNordin.html
  25. 9 banzhaf:1997:wiGPge Why introns in genetic programming grow exponentially WolfgangBanzhaf.html PeterNordin.html FrankDFrancone.html
  26. 5 Fu:TCAD Efficient Cartesian Genetic Programming-Based Automatic Synthesis Framework for Reversible Quantum-Flux-Parametron Logic Circuits RongliangFu.html RobertWille.html NobuyukiYoshikawa.html Tsung-YiHo.html
  27. 1 garrow2025adversarialPolicyDiscovery Towards Adversarial Policy Discovery via Evolutionary Program Synthesis FraserGarrow.html MichaelALones.html RobertJamesStewart.html
  28. 20 Geiger:2024:EuroGP A Comprehensive Comparison of Lexicase-Based Selection Methods for Symbolic Regression Problems AlinaGeiger.html DominikSobania.html FranzRothlauf.html
  29. 29 GORKEMLI:2019:IS A quick semantic artificial bee colony programming (qsABCP) for symbolic regression BeyzaGorkemli.html DervisKaraboga.html
  30. 1 DBLP:journals/tcs/GruauRW95 A Neural Compiler FredericGruau.html Jean-YvesRatajszczak.html GillesWiber.html
  31. 1 gruau:1996:ceVdeGNN A Comparison between Cellular Encoding and Direct Encoding for Genetic Neural Networks FredericGruau.html LDarrellWhitley.html LarryDPyeatt.html
  32. 1 conf/biostec/GuoZN08 Breast Cancer Detection using Genetic Programming HongGuo.html QingZhang.html AsokeKNandi.html
  33. 10 Guo:2025:ieeeTEC Genetic Programming With Multifidelity Surrogates for Large-Scale Dynamic Air Traffic Flow Management TongGuo.html YiMei.html MengjieZhang.html RuofeiSun.html YanboZhu.html WenboDu.html
  34. 1 Gupt:thesis Gupt:thesis KrishnKumarGupt.html
  35. 2 Hanna:2025:ASEJ Reinforcement learning for mutation operator selection in automated program repair CarolHanna.html AymericBlot.html JustynaPetke.html
  36. 6 Haut:ieeeTEC Active Learning in Genetic Programming: Guiding Efficient Data Collection for Symbolic Regression NathanielHaut.html WolfgangBanzhaf.html WilliamFPunch.html
  37. 30 Heo:2025:csite Explainable surrogate modeling for predicting temperature separation performance of the vortex tube HyoBeomHeo.html JunHoLee.html JeongWonYoon.html SangseokYu.html ByoungJaeKim.html SeokyeonIm.html SeungHwanPark.html
  38. 1 Heywood:2024:hbEML Evolutionary Ensemble Learning MalcolmHeywood.html
  39. 1 hu:2010:jaea Evolvability and Speed of Evolutionary Algorithms in Light of Recent Developments in Biology TingHu.html WolfgangBanzhaf.html
  40. 3 hu:2011:EuroGP Robustness, Evolvability, and Accessibility in Linear Genetic Programming TingHu.html JoshuaLPayne.html JasonHMoore.html WolfgangBanzhaf.html
  41. 1 Yuh-JyhHu:2003:NAR GPRM: a genetic programming approach to finding common RNA secondary structure elements Yuh-JyhHu.html
  42. 6 Huang:ieeeTEC2 Toward Evolving Dispatching Rules With Flow Control Operations By Grammar-Guided Linear Genetic Programming ZhixingHuang.html YiMei.html FangfangZhang.html MengjieZhang.html
  43. 6 Huang:ieeeTEC3 Fitness Landscape Optimization Makes Stochastic Symbolic Search By Genetic Programming Easier ZhixingHuang.html YiMei.html FangfangZhang.html MengjieZhang.html WolfgangBanzhaf.html
  44. 30 Ilampari:2024:ICSCSA Enhancing Lifetime in Wireless Sensor Networks through Image Processing-Based Clustering with Genetic Algorithm Routing MIlampari.html MAminaBegum.html NMaheshBabu.html SGopi.html MMythreyee.html ShanmugavelDeivasigamani.html
  45. 1 jorgensen:2024:GECCO Large Language Model-based Test Case Generation for GP Agents StevenPJorgensen.html GiorgiaNadizar.html GloriaPietropolli.html LucaManzoni.html EricMedvet.html Una-MayO'Reilly.html ErikHemberg.html
  46. 28 Kianian:2025:UKCI GenGPLight: A Generalized Genetic Programming Framework for Traffic Signal Control in Arbitrary Intersection Structures SaharKianian.html EdKeedwell.html
  47. 1 Kianiharchegani:thesis Data-Driven Exploration of Coarse-Grained Equations: Harnessing Machine Learning ElhamKianiharchegani.html
  48. 2 Kim:2019:PLR Precise Learn-to-Rank Fault Localization Using Dynamic and Static Features of Target Programs YunhoKim.html SeokhyeonMoon.html ShinYoo.html MoonzooKim.html
  49. 1 Kovalchuk:thesis A Multi-Agent Decision Support System for Supply Chain Management YevgeniyaKovalchuk.html
  50. 12 Koza:2000:GECCOlb Automatic Synthesis of a Wire Antenna Using Genetic Programming WilliamComisky.html JessenYu.html JohnKoza.html
  51. 1 koza:2003:scientific_american Evolving Inventions JohnKoza.html MartinAKeane.html MatthewJStreeter.html
  52. 8 Langdon:2025:UKCI A Genetic Improvement Parameter Benchmark: rand\_malloc.c WilliamBLangdon.html
  53. 5 langdon:2025:eval_avx512 Improving a Parallel C++ Intel AVX-512 SIMD Linear Genetic Programming Interpreter WilliamBLangdon.html
  54. 16 langdon:2026:GI Improving a Parallel C++ Intel SSE SIMD Linear Genetic Programming Interpreter WilliamBLangdon.html CarolHanna.html
  55. 2 Langdon:2026:raLGP Long Term Evolution Experiments with Linear Genetic Programming WilliamBLangdon.html
  56. 22 Lee:ieeeTEC Feature Extraction With Genetic Programming for Root Cause Identification in Manufacturing With Interpretable Machine Learning ChanGyuLee.html SungbumJun.html
  57. 23 DBLP:conf/cec/LiM25 Semantic-aware Surrogate-assisted Genetic Programming for Feature Construction in Classification JiayiLi.html JianbinMa.html
  58. 6 Jing-Liang:ieeeTEC A Survey on Evolutionary Computation for Identifying Biomarkers of Complex Disease JingLiang.html ZhuoHu.html YingBi.html HanCheng.html KunjieYu.html Cai-TongYue.html XianfangWang.html Wei-FengGuo.html
  59. 6 Yun_Liu:ieeeTEC Evolutionary Trainer-Based Deep Q-Network for Dynamic Flexible Job Shop Scheduling YunLiu.html FangfangZhang.html YananSun.html MengjieZhang.html
  60. 1 Loginov:thesis On increasing the scope of Genetic Programming trading agents AlexanderLoginov.html
  61. 1 Lopez-Manrique:2018:Energies Assessment of Resource and Forecast Modeling of Wind Speed through An Evolutionary Programming Approach for the North of Tehuantepec Isthmus (Cuauhtemotzin, Mexico) LuisManuelLopez-Manrique.html EdgarVicenteMaciasMelo.html OscardeJesusMayTzuc.html AliBassam.html KarlaMariaAguilarCastro.html IvanHernandez-Perez.html
  62. 1 Luerssen05 Graph Grammar Encoding and Evolution of Automata Networks MartinHLuerssen.html
  63. 1 Mandli:thesis An Application Of Cybernetic Principles To The Modeling And Optimization Of Bioreactors AravindaReddyMandli.html
  64. 5 Mandrioli:TSE Testing CPS with Design Assumptions-Based Metamorphic Relations and Genetic Programming ClaudioMandrioli.html SeungYeobShin.html DomenicoBianculli.html LionelCBriand.html
  65. 1 Mashiane:2014:PRASA Genetic Programming for Password Cracking, Phase One: Grammar Induction ThulaniMashiane.html NelishiaPillay.html
  66. 1 miu:2015:CHTMD Combine Harvesters: Theory, Modeling, and Design PetreMiu.html
  67. 1 Moraglio:thesis Towards a Geometric Unification of Evolutionary Algorithms AlbertoMoraglio.html
  68. 30 MOTTAGHIAN:2023:compscitech Machine learning/finite element analysis - A collaborative approach for predicting the axial impact response of adhesively bonded joints with unique sandwich composite adherends FatemehMottaghian.html FaridTaheri.html
  69. 9 namjoshi:2021:ACEID Estimation of Design Shear Strength of Concrete Using Genetic Programming PreetiNamjoshi.html ShardulJoshi.html
  70. 2 Bach_Hoai_Nguyen:thesis Evolutionary Computation for Feature Selection in Classification BachHoaiNguyen.html
  71. 1 Nowakova2014413 System Identification Using Genetic Algorithms JanaNowakova.html MiroslavPokorny.html
  72. 7 Olson:2019:autoML TPOT: A Tree-Based Pipeline Optimization Tool for Automating Machine Learning RandalSOlson.html JasonHMoore.html
  73. 1 oreilly:1998:piefds A Preliminary Investigation of Evolution as a Form Design Strategy Una-MayO'Reilly.html GirishRamachandran.html
  74. 6 Pei:TEVC DG-SMOTE: A Distance-Angle-Based Genetic Synthetic Minority Over-Sampling Technique for Unbalanced Data Learning WenbinPei.html YuyangCui.html BingXue.html MengjieZhang.html JiqingZhang.html YaqingHou.html GuangyuZou.html ZhangQiang.html
  75. 28 prabitz:2021:Materials Liquid Metal Embrittlement of Advanced High Strength Steel: Experiments and Damage Modeling KonstantinManuelPrabitz.html MohammadZhianAsadzadeh.html MarliesPichler.html ThomasAntretter.html ColineBeal.html HolgerSchubert.html BenjaminHilpert.html MartinGruber.html RobertSierlinger.html WernerEcker.html
  76. 9 Rockett:2025:UKCI The Solution of Ordinary Differential Equations using Genetic Programming with Constant Tuning PeterIRockett.html
  77. 6 Rodriguez-Coayahuitl:TEVC Problem Decomposition Strategies and Credit Distribution Mechanisms in Modular Genetic Programming for Supervised Learning LinoRodriguez-Coayahuitl.html AnselYRodriguez-Gonzalez.html DanielFajardo-Delgado.html MariaGuadalupeSanchez-Cervantes.html
  78. 6 Sedaghat:TIV CFEA-IoV: An SDN-Enabled IoV Architecture for Time-Critical Accident Notification in Automated Vehicles ShahrzadSedaghat.html MauroConti.html
  79. 6 shahrzad:telo24 EVOTER: Evolution of Transparent Explainable Rule sets HormozShahrzad.html BabakHodjat.html RistoMiikkulainen.html
  80. 21 SHI:2021:COR A learning-based two-stage optimization method for customer order scheduling TonyZhongshunShi.html HangMa.html MeihengRen.html TaoWu.html AndrewJYu.html
  81. 1 Smigielska:2021:GI Uniform Edit Selection for Genetic Improvement: Empirical Analysis of Mutation Operator Efficacy MartaSmigielska.html AymericBlot.html JustynaPetke.html
  82. 6 Sobania:ieeeTEC2 A Comparison of Large Language Models and Genetic Programming for Program Synthesis DominikSobania.html JustynaPetke.html MartinBriesch.html FranzRothlauf.html
  83. 1 songpetchmongkol:2025:GI Empirical Comparison of Runtime Improvement Approaches: Genetic Improvement, Parameter Tuning, and Their Combination ThanatadSongpetchmongkol.html AymericBlot.html JustynaPetke.html
  84. 6 Zaixing_Sun:TSC Multi-Tree Genetic Programming Hyper-Heuristic for Dynamic Flexible Workflow Scheduling in Multi-Clouds ZaixingSun.html YiMei.html FangfangZhang.html HejiaoHuang.html ChonglinGu.html MengjieZhang.html
  85. 1 Tonda:GPEM:PySR Review of PySR: high-performance symbolic regression in Python and Julia AlbertoTonda.html
  86. 4 Valencia-Hernandez:ACCESS Integrating a Fuzzy Fitness Function in Genetic Programming to Generate Breast Tissue Segmentation Models. IValencia-Hernandez.html CAReyes-Garcia.html AliciaMorales-Reyes.html GCLopez-Armas.html Jose-AntonioFuentes-Tomas.html EfrenMezura-Montes.html
  87. 2 Vitanyi:2006:Surikagaku Asshuku ni Motozuita Hanyou na Ruijido Sokuteihou PaulMBVitanyi.html
  88. 22 Wang:TEVC Genetic Programming With Flexible Region Detection for Fine-Grained Image Classification QinyuWang.html YingBi.html BingXue.html MengjieZhang.html
  89. 6 Peng_Wang:ECJ Genetic Programming for Automatically Evolving Multiple Features to Classification PengWang2.html BingXue.html JingLiang.html MengjieZhang.html
  90. 2 WoodwardB:2009:GEC Canonical representation genetic programming JohnRWoodward.html RuibinBai.html
  91. 1 XIA:2024:engfailanal Systematic framework for handling uncertainty in probabilistic failure analysis of corroded concretes JinXia.html Ren-jieWu.html YuZhou2.html XipengWang.html JiejingChen.html Wan-linMin.html Ke-yuChen.html Wei-liangJin.html
  92. 6 Xue:JBHI Biomedical Information Integration via Adaptive Large Language Model Construction XingsiXue.html Mu-EnWu.html FazlUllah.html
  93. 5 Xingsi_Xue:ieeeIOT Two-Phase Similarity Feature Construction for Enhancing Sensor Knowledge Graph Alignment via Genetic Programmings XingsiXue.html JerryChun-WeiLin.html
  94. 5 Xue:TCE Explicit and Implicit Consumer Electronics Information Integration via Automatic Large Language Model Construction XingsiXue.html XingwangLi.html
  95. 6 Shangshang-Yang:ieeeTEC An Evolutionary Multi-Objective Neural Architecture Search Approach to Advancing Cognitive Diagnosis in Intelligent Education ShangshangYang.html HaipingMa.html YingBi.html YeTian.html LimiaoZhang.html YaochuJin.html XingyiZhang.html
  96. 6 Yang:ieeeTEC Dual-Tree Genetic Programming With Adaptive Mutation for Dynamic Workflow Scheduling in Cloud Computing YifanYang.html AaronChen.html HuiMa.html SvenHartmann.html MengjieZhang.html
  97. 8 Kunjie_Yu:ieeeTEC An Automated and Interpretable Computer-Aided Approach for Skin Cancer Diagnosis Using Genetic Programming KunjieYu.html JintaoLian.html YingBi.html JingLiang.html BingXue.html MengjieZhang.html
  98. 1 Zerenner:thesis Atmospheric Downscaling using Multi-Objective Genetic Programming TanjaZerenner.html
  99. 5 Zhang:ieeeIOT Multi-Tree Genetic Programming with Rule Reconstruction for Dynamic Task Scheduling in Integrated Cloud-Edge Satellite-Terrestrial Networks ChangzhenZhang.html JunYang.html NingWang.html
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  101. 25 Zhao:2022:SSCI A Deep Reinforcement Learning Approach for Resource-Constrained Project Scheduling XiaohanZhao.html WenSong.html QiqiangLi.html HuadongShi.html ZhichaoKang.html ChunmeiZhang.html
  102. 6 Zhou:TCSS An Embedded Unlabeled Data Partitioning PU-Learning Method Based on Genetic Programming YuZhou.html NanjianYang.html RanWang.html
  103. 23 Zhu:2023:GECCO Sample-Aware Surrogate-Assisted Genetic Programming for Scheduling Heuristics Learning in Dynamic Flexible Job Shop Scheduling LuyaoZhu.html FangfangZhang.html XiaodongZhu.html KeChen2.html MengjieZhang.html
  104. 5 Luyao_Zhu:TAI Phenotype and Genotype Based Sample Aware Surrogate-Assisted Genetic Programming in Dynamic Flexible Job Shop Scheduling LuyaoZhu.html FangfangZhang.html XiaodongZhu.html KeChen2.html MengjieZhang.html

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