Changes to Genetic Programing Bibliography since 2025/12/20

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. 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
4. 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
5. 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
6. 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
7. Farinati:2026:ieeeTEC A Study on the Dynamics and Effectiveness of the Deflate Geometric Semantic Mutation DavideFarinati.html GloriaPietropolli.html LeonardoVanneschi.html
8. Fredericks:2026:GI Databending as a Target for Genetic Improvement ErikMFredericks.html ByronDeVries.html ReihanehHariri.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. Lohn:2010:nasaTB Computer-Automated Evolution of Spacecraft X-Band Antennas JasonLohn.html GregorySHornby.html DerekSLinden.html
21. Ma:2026:EC GESR: A Geometric Evolution Model for Symbolic Regression ZhitongMa.html JinghuiZhong.html
22. Majid:2016:LAP Optimization of Classifiers using Genetic Programming: Developing Optimal Composite Classifiers using Genetic Programming for Pattern Classification problems AbdulMajid.html
23. Nemeth:2026:TELO Revisiting the Fitness Landscape of Genetic Improvement for Source Code: A Phenotypic Speciation Approach ZsoltNemeth.html PenelopeFaulknerRainford.html BarryPorter.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. Mar___Thesis Automated Software Transplantation for Procedural Content Generation MarZamoranoLopez.html
40. Zhang:2026:EC Genetic Programming with Tabu List for Dynamic Flexible Job Shop Scheduling FangfangZhang.html MazharAnsariArdeh.html YiMei.html MengjieZhang.html
41. 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
42. 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
43. 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
44. Zheng:2026:ieeeTEC Discovering Infinite Recursive Conjectures Through Genetic Programming Min-YiZheng.html YuehengWang.html JinghuiZhong.html JunZhang.html
45. 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
46. 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. 1 Chakraborti:2016:camdtpa Data-Driven Bi-Objective Genetic Algorithms EvoNN and BioGP and Their Applications in Metallurgical and Materials Domain NirupamChakraborti.html
11. 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
12. 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
13. 1 Cimmino:book Enterprise Information Integration: On Discovering Links Using Genetic Programming AndreaJesusCimminoArriaga.html RafaelCorchueloGil.html
14. 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
15. 1 de-vries:2025:GECCOcomp Kozax: Flexible and Scalable Genetic Programming in JAX SigurdeVries.html SanderWKeemink.html MarcelvanGerven.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. 6 Dong:ieeeTEC Evolving Equation Learner For Symbolic Regression JunlanDong.html JinghuiZhong.html Wei-LiLiu.html JunZhang.html
18. 2 Donne:thesis Relationships Between Microseism Generation and Ocean Wave Parameters in the Northeast Atlantic, West of Ireland SarahDonne.html
19. 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
20. 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
21. 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
22. 10 banzhaf:1997:emvsea On some emergent properties of variable size evolutionary algorithms WolfgangBanzhaf.html FrankDFrancone.html PeterNordin.html
23. 9 banzhaf:1997:wiGPge Why introns in genetic programming grow exponentially WolfgangBanzhaf.html PeterNordin.html FrankDFrancone.html
24. 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
25. 1 garrow2025adversarialPolicyDiscovery Towards Adversarial Policy Discovery via Evolutionary Program Synthesis FraserGarrow.html MichaelALones.html RobertJamesStewart.html
26. 20 Geiger:2024:EuroGP A Comprehensive Comparison of Lexicase-Based Selection Methods for Symbolic Regression Problems AlinaGeiger.html DominikSobania.html FranzRothlauf.html
27. 29 GORKEMLI:2019:IS A quick semantic artificial bee colony programming (qsABCP) for symbolic regression BeyzaGorkemli.html DervisKaraboga.html
28. 1 gruau:1996:ceVdeGNN A Comparison between Cellular Encoding and Direct Encoding for Genetic Neural Networks FredericGruau.html LDarrellWhitley.html LarryDPyeatt.html
29. 1 conf/biostec/GuoZN08 Breast Cancer Detection using Genetic Programming HongGuo.html QingZhang.html AsokeKNandi.html
30. 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
31. 1 Gupt:thesis Gupt:thesis KrishnKumarGupt.html
32. 2 Hanna:2025:ASEJ Reinforcement learning for mutation operator selection in automated program repair CarolHanna.html AymericBlot.html JustynaPetke.html
33. 1 hart:thesis Automatic control program creation using concurrent Evolutionary Computing JohnHart.html
34. 6 Haut:ieeeTEC Active Learning in Genetic Programming: Guiding Efficient Data Collection for Symbolic Regression NathanielHaut.html WolfgangBanzhaf.html WilliamFPunch.html
35. 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
36. 1 Heywood:2024:hbEML Evolutionary Ensemble Learning MalcolmHeywood.html
37. 3 Hornby:2011:EC Computer-Automated Evolution of an X-Band Antenna for NASA's Space Technology 5 Mission GregorySHornby.html JasonLohn.html DerekSLinden.html
38. 1 hu:2010:jaea Evolvability and Speed of Evolutionary Algorithms in Light of Recent Developments in Biology TingHu.html WolfgangBanzhaf.html
39. 3 hu:2011:EuroGP Robustness, Evolvability, and Accessibility in Linear Genetic Programming TingHu.html JoshuaLPayne.html JasonHMoore.html WolfgangBanzhaf.html
40. 1 Yuh-JyhHu:2003:NAR GPRM: a genetic programming approach to finding common RNA secondary structure elements Yuh-JyhHu.html
41. 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
42. 6 Huang:ieeeTEC3 Fitness Landscape Optimization Makes Stochastic Symbolic Search By Genetic Programming Easier ZhixingHuang.html YiMei.html FangfangZhang.html MengjieZhang.html WolfgangBanzhaf.html
43. 2 jadhwani:2026:GI Applying Genetic Improvement Techniques for Automated Program Repair of Transpiled Code PrashamJadhwani.html CarolHanna.html WilliamBLangdon.html JustynaPetke.html
44. 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
45. 1 Kazemi:thesis Data-driven soft-sensors for monitoring and fault diagnosis in wastewater treatment plants PezhmanKazemi.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. 3 langdon:2025:eval_avx512 Improving a Parallel C++ Intel AVX-512 SIMD Linear Genetic Programming Interpreter WilliamBLangdon.html
54. 18 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. 1 lee:2026:GI GI-Agent Search-Based LLM Agent for Code Optimization with Genetic Improvement DonghyunLee.html WilliamBLangdon.html JustynaPetke.html
58. 23 DBLP:conf/cec/LiM25 Semantic-aware Surrogate-assisted Genetic Programming for Feature Construction in Classification JiayiLi.html JianbinMa.html
59. 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
60. 6 Yun_Liu:ieeeTEC Evolutionary Trainer-Based Deep Q-Network for Dynamic Flexible Job Shop Scheduling YunLiu.html FangfangZhang.html YananSun.html MengjieZhang.html
61. 1 Loginov:thesis On increasing the scope of Genetic Programming trading agents AlexanderLoginov.html
62. 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
63. 1 Luerssen05 Graph Grammar Encoding and Evolution of Automata Networks MartinHLuerssen.html
64. 119 Mandli:thesis An Application Of Cybernetic Principles To The Modeling And Optimization Of Bioreactors AravindaReddyMandli.html
65. 5 Mandrioli:TSE Testing CPS with Design Assumptions-Based Metamorphic Relations and Genetic Programming ClaudioMandrioli.html SeungYeobShin.html DomenicoBianculli.html LionelCBriand.html
66. 1 Mashiane:2014:PRASA Genetic Programming for Password Cracking, Phase One: Grammar Induction ThulaniMashiane.html NelishiaPillay.html
67. 1 miu:2015:CHTMD Combine Harvesters: Theory, Modeling, and Design PetreMiu.html
68. 1 Moraglio:thesis Towards a Geometric Unification of Evolutionary Algorithms AlbertoMoraglio.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. 1 oreilly:1998:piefds A Preliminary Investigation of Evolution as a Form Design Strategy Una-MayO'Reilly.html GirishRamachandran.html
73. 20 Padmalatha:2025:ICMCSI Optimizing Emergency Response Unit Location using Genetic Algorithm for Better Response Efficiency EPadmalatha.html BrahmakantiSumaGeethika.html ShravaniSaiba.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. 1 Rabunal-Dopico:tesis Uso de Tecnicas de Inteligencia Artificial en Ingenieria Civil JuanRamonRabunalDopico.html
77. 9 Rockett:2025:UKCI The Solution of Ordinary Differential Equations using Genetic Programming with Constant Tuning PeterIRockett.html
78. 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
79. 1 BRoss2:2000:GECCO Edge Detection of Petrographic Images Using Genetic Programming BrianJRoss.html FrankFueten.html DmytroYYashkir.html
80. Roushangar:2014:JH Modeling energy dissipation over stepped spillways using machine learning approaches KiyoumarsRoushangar.html SamiraAkhgar.html FarzinSalmasi.html JalalShiri.html
81. 6 Sedaghat:TIV CFEA-IoV: An SDN-Enabled IoV Architecture for Time-Critical Accident Notification in Automated Vehicles ShahrzadSedaghat.html MauroConti.html
82. 6 shahrzad:telo24 EVOTER: Evolution of Transparent Explainable Rule sets HormozShahrzad.html BabakHodjat.html RistoMiikkulainen.html
83. 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
84. 1 Smigielska:2021:GI Uniform Edit Selection for Genetic Improvement: Empirical Analysis of Mutation Operator Efficacy MartaSmigielska.html AymericBlot.html JustynaPetke.html
85. 6 Sobania:ieeeTEC2 A Comparison of Large Language Models and Genetic Programming for Program Synthesis DominikSobania.html JustynaPetke.html MartinBriesch.html FranzRothlauf.html
86. 1 songpetchmongkol:2025:GI Empirical Comparison of Runtime Improvement Approaches: Genetic Improvement, Parameter Tuning, and Their Combination ThanatadSongpetchmongkol.html AymericBlot.html JustynaPetke.html
87. 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
88. 22 TAVAKOLI:2023:istruc Generating synthetic ground motions reaching target spectrum with the optimization approach PouyaTavakoli.html HosseinRahami.html
89. 1 Tonda:GPEM:PySR Review of PySR: high-performance symbolic regression in Python and Julia AlbertoTonda.html
90. 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
91. 2 Vitanyi:2006:Surikagaku Asshuku ni Motozuita Hanyou na Ruijido Sokuteihou PaulMBVitanyi.html
92. 22 Wang:TEVC Genetic Programming With Flexible Region Detection for Fine-Grained Image Classification QinyuWang.html YingBi.html BingXue.html MengjieZhang.html
93. 6 Peng_Wang:ECJ Genetic Programming for Automatically Evolving Multiple Features to Classification PengWang2.html BingXue.html JingLiang.html MengjieZhang.html
94. 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
95. 6 Xue:JBHI Biomedical Information Integration via Adaptive Large Language Model Construction XingsiXue.html Mu-EnWu.html FazlUllah.html
96. 5 Xingsi_Xue:ieeeIOT Two-Phase Similarity Feature Construction for Enhancing Sensor Knowledge Graph Alignment via Genetic Programmings XingsiXue.html JerryChun-WeiLin.html
97. 5 Xue:TCE Explicit and Implicit Consumer Electronics Information Integration via Automatic Large Language Model Construction XingsiXue.html XingwangLi.html
98. 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
99. 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
100. 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
101. 1 Zerenner:thesis Atmospheric Downscaling using Multi-Objective Genetic Programming TanjaZerenner.html
102. 2 Zhang-Muehlenbein-94-WCCI-EC Synthesis of Sigma-Pi Neural Networks by the Breeder Genetic Programming Byoung-TakZhang.html HeinzMuhlenbein.html
103. 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
104. 5 Zhang:ieeeTEVC Survey on Genetic Programming and Machine Learning Techniques for Heuristic Design in Job Shop Scheduling FangfangZhang.html YiMei.html SuNguyen.html MengjieZhang.html
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106. 6 Zhou:TCSS An Embedded Unlabeled Data Partitioning PU-Learning Method Based on Genetic Programming YuZhou.html NanjianYang.html RanWang.html
107. 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
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109. 1 Zojaji:2016:aplint Semantic schema theory for genetic programming ZahraZojaji.html MohammadMehdiEbadzadeh.html

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