Changes to Genetic Programing Bibliography since 2025/09/17

New

1. basgalupp:2025:CEC Grammar-based Evolutionary Approaches for Software Effort Estimation MarcioPortoBasgalupp.html RodrigoCBarros.html RicardoCerri.html FerranteNeri.html PericlesBarbosaMiranda.html TeresaBLudermir.html
2. bayer:2025:GECCO Emergent Braitenberg-style Behaviours for Navigating the ViZDoom 'My Way Home' Labyrinth CaleidghBayer.html RobertJSmith.html MalcolmHeywood.html
3. bouras:2025:ssbse Optimised Fitness Functions for Automated Improvement of Software's Execution Time DimitriosStamatiosBouras.html CarolHanna.html JustynaPetke.html
4. Dakhama:2025:REACH GreenMalloc: Allocator Optimisation for Industrial Workloads AidanDakhama.html WilliamBLangdon.html HectorMenendez.html KarineEven-Mendoza.html
5. Dakhama:2025:SSBSE GreenMalloc: Allocator Optimisation for Industrial Workloads AidanDakhama.html WilliamBLangdon.html HectorMenendez.html KarineEven-Mendoza.html
6. 2007.06986 Estimating the potential of program repair search spaces with commit analysis KhashayarEtemadi.html NiloofarTarighat.html SiddharthYadav.html MatiasSebastianMartinez.html MartinMonperrus.html
7. 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
8. 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
9. Heywood:2024:hbEML Evolutionary Ensemble Learning MalcolmHeywood.html
10. Kalayci-Sahinoglu27052024 Predicting advance rate and cutter life in TBM tunnelling using evolutionary algorithm UlkuKalayciSahinoglu.html MuratKarakus.html
11. kushwaha2025genetic Genetic AI Algorithms: Evolutionary Approaches for Solving Complex Computational Problems AjayShriramKushwaha.html
12. liang:2025:CEC A Two-Stage Approach Combining Feature Selection and Construction for Hyperspectral Crop Classification JingLiang.html ZexuanYang.html YingBi.html
13. Liu2021 Learning Classifier Systems for Understanding Patterns in Data YiLiu2.html
14. Maculotti:2024:QREI Optimisation of laser welding of deep drawing steel for automotive applications by Machine Learning: A comparison of different techniques GiacomoMaculotti.html GianfrancoGenta.html MaurizioGaletto.html
15. Moodi:2024:KJ Intelligent Models for Predicting the Compressive Strength of Green Concrete Made with Fine and Coarse Grains of Waste Copper Slag YaserMoodi.html NaserSafaeianHamzehkolaei.html ImanAfshoon.html
16. Munoz:2025:CyS Evolutive Layers in M3GP Basis for Symbolic Deep Learning Models LuisMunozDelgado.html
17. Qiu:2025:CEC Benchmarking Streaming Evolutionary Ensemble Learning under Shifting Imbalanced Data ZiyuQiu.html MalcolmHeywood.html
18. shen:2025:CEC Gradient Descent Emerges via Natural Selection AilunShen.html
19. silva2003gplab GPLAB -- A Genetic Programming Toolbox for MATLAB SaraSilva.html JonasSAlmeida.html
20. Sohrabi:2024:IJMT Frequency Domain Optimization of Homogeneous Anechoic Multi-Layers Using Genetic Programming SayedHamidSohrabi.html SaeedParsamehr.html AmirKarimi.html
21. DBLP:journals/at/TolleBGM12 Optimierungsans\"atze f\"ur die Bioverfahrenstechnik HenningTolle.html KurtDirkBettenhausen.html StefanGehlen.html PeterMarenbach.html
22. Shaolin_Wang:thesis Explainable Genetic Programming for Evolving Routing Policies of Uncertain Capacitated Arc Routing Problems ShaolinWang.html
23. wang:2025:CEC6 Diverse Counterfactual Explanations by Differential Evolution with Ablation Strategies for Uncertain Capacitated Arc Routing Problem ShaolinWang.html HaoyangChe.html HeJiang.html YiMei.html YiLiu2.html YingGu.html
24. wu:2025:CEC3 Multitree GP-Based Feature Learning for Multimodal Medical Image Classification ZhichengWu.html BingXue.html MengjieZhang.html
25. Yildiz:2017:IUJeee Very simple and accurate Computer-Aided-Design (CAD) models developed by genetic programming for the quasistatic analysis of unshielded suspended and inverted microstrip lines CelalYildiz.html HakanKisioglu.html
26. zhang:2025:CEC5 A General Feature-Informed Crossover for Two-Stage Feature Selection in Symbolic Regression HengzheZhang.html QiChen.html BingXue.html WolfgangBanzhaf.html MengjieZhang.html

Modified

1. 1 Affenzeller:2022:GPTP Symbolic Regression in Materials Science: Discovering Interatomic Potentials from Data BogdanBurlacu.html MichaelKommenda.html GabrielKronberger.html StephanMWinkler.html MichaelAffenzeller.html
2. 1 Afzal:2009:SSBSE Search-Based Prediction of Fault Count Data WasifAfzal.html RichardTorkar.html RobertFeldt.html
3. 1 Afzal:2010:SSBSE Search-based Prediction of Fault-slip-through in Large Software Projects WasifAfzal.html RichardTorkar.html RobertFeldt.html GregerWikstrand.html
4. 1 Afzal:thesis Search-Based Prediction of Software Quality: Evaluations And Comparisons WasifAfzal.html
5. 1 Afzali:thesis Evolutionary Computation for Feature Manipulation in Salient Object Detection ShimaAfzali.html
6. 1 al-afandi:2021:Algorithms Adaptive Gene Level Mutation JalalAl-Afandi.html AndrasHorvath.html
7. 5 Muhammad_Sarmad_Ali:thesis Automatic Production Selection in Grammatical Evolution MuhammadSarmadAli.html
8. 14 AlNajar:thesis Estimating Coastal Evolution with Machine Learning MahmoudAlNajar.html
9. 1 Al-Sahaf:2015:EC Binary Image Classification: A Genetic Programming Approach to the Problem of Limited Training Instances HarithAl-Sahaf.html MengjieZhang.html MarkJohnston.html
10. 1 Andelic:2022:FI Detection of Malicious Websites Using Symbolic Classifier NikolaAndelic.html SandiBaressiSegota.html IvanLorencin.html MatkoGlucina.html
11. 18 DBLP:conf/cec/AnfarCZ25 Node Importance-Based Multi-Objective Genetic Programming for Enhanced Model Interpretability in Symbolic Regression MohamadRimasMohamadAnfar.html QiChen.html MengjieZhang.html
12. 1 Arcuri:2009:SSBSE On Search Based Software Evolution AndreaArcuri.html
13. 2 Atkinson:2018:EuroGP Evolving Graphs by Graph Programming TimothyAtkinson.html DetlefPlump.html SusanStepney.html
14. 3 DBLP:journals/corr/abs-1810-10453 Semantic Neutral Drift TimothyAtkinson.html DetlefPlump.html SusanStepney.html
15. 1 Aydogan:2015:evoApplications Automatic Generation of Mobile Malwares Using Genetic Programming EmreAydogan.html SevilSen.html
16. 1 back:2000:EC1 Mutation operators ThomasBack.html DavidBFogel.html LDarrellWhitley.html PeterJohnAngeline.html
17. 2 Bi:2018:JZU A Survey on Genetic Programming to Image Analysis YingBi.html BingXue.html MengjieZhang.html
18. 2 Dual-Tree_Genetic_Programming_for_Few-Shot_Image_Classification Dual-Tree Genetic Programming for Few-Shot Image Classification YingBi.html BingXue.html MengjieZhang.html
19. 3 1274004 An abstraction-based genetic programming system FranckJLBinard.html AmyFelty.html
20. 1 bouras:2025:GI LLM-Assisted Crossover in Genetic Improvement of Software DimitriosStamatiosBouras.html SergeyMechtaev.html JustynaPetke.html
21. 1 BradburyJ10 Automatic Repair of Concurrency Bugs JeremySBradbury.html KevinJalbert.html
22. 1 bruce:1997:lprsbGPADF The Lawnmower Problem Revisited: Stack-Based Genetic Programming and Automatically Defined Functions WilkerShaneBruce.html
23. 1 Brunello:2023:ACC Monitors That Learn From Failures: Pairing STL and Genetic Programming AndreaBrunello.html DarioDellaMonica.html AngeloMontanari.html NicolaSaccomanno.html AndreaUrgolo.html
24. 1 Burles:2015:SSBSE Object-Oriented Genetic Improvement for Improved Energy Consumption in Google Guava NathanBurles.html EdwardBowles.html AlexanderEIBrownlee.html ZoltanKocsis.html JerrySwan.html NadarajenVeerapen.html
25. 1 Burles:2015:SSBSEa Specialising Guava's Cache to Reduce Energy Consumption NathanBurles.html EdwardBowles.html BobbyRBruce.html KomsanSrivisut.html
26. 28 Cakiroglu:2024:enbuild Cooling load prediction of a double-story terrace house using ensemble learning techniques and genetic programming with SHAP approach CelalCakiroglu.html YarenAydin.html GebrailBekdas.html UmitIsikdag.html AidinNobaharSadeghifam.html LaithAbualigah.html
27. 4 Cani:2014:SAC Towards automated malware creation: code generation and code integration AndreaCani.html MarcoGaudesi.html ErnestoSanchez.html GiovanniSquillero.html AlbertoTonda.html
28. 16 DBLP:conf/cec/CaoF0T25 NetGP: A Hybrid Framework Combining Genetic Programming and Deep Reinforcement Learning for PDE Solutions LuluCao.html YinglanFeng.html MinJiang.html KayChenTan.html
29. 20 CESKA:2022:SEC SagTree: Towards efficient mutation in evolutionary circuit approximation MilanCeska.html JiriMatyas.html VojtechMrazek.html LukasSekanina.html ZdenekVasicek.html TomasVojnar.html
30. 1 Chamani_Hooman_2021_thesis Pore Wetting in Desalination of Brine Using Membrane Distillation Process HoomanChamani.html
31. 18 DBLP:conf/cec/ChenWBLY25 Dynamic Threshold Selection in Genetic Programming for Imbalanced Fault Diagnosis KeChen.html TianqingWu.html YingBi.html JingLiang.html KunjieYu.html
32. 1 Cody-Kenny:2013:SSBSE The Emergence of Useful Bias in Self-focusing Genetic Programming for Software Optimisation BrendanCody-Kenny.html StephenBarrett.html
33. 1 de-sa:2024:GECCOcomp Towards Evolutionary-based Automated Machine Learning for Small Molecule Pharmacokinetic Prediction AlexGCdeSa.html DavidBAscher.html
34. 27 DeFalco:2000:GECCO A Kolmogorov Complexity-based Genetic Programming tool for string compression IvanoeDeFalco.html AIazzetta.html ErnestoTarantino.html AntonioDellaCioppa.html GiuseppeTrautteur.html
35. 20 deLima:2024:EuroGP Fuzzy Pattern Trees for Classification Problems Using Genetic Programming AllanDanilodeLima.html SamuelCarvalho.html DouglasMotaDias.html JorgeLuisMachadoDoAmaral.html JoeSullivan.html ConorRyan.html
36. 1 denardi08coevolutionary Coevolutionary modelling of a miniature rotorcraft RenzoDeNardi.html OwenHolland.html
37. 1 Deschaine:thesis Decision support for complex planning challenges - Combining expert systems, engineering-oriented modeling, machine learning, information theory, and optimization technology LarryMDeschaine.html
38. 1 Di-Capua:2020:IE Mutual Inductance Behavioral Modeling for Wireless Power Transfer System Coils GiuliaDiCapua.html NicolaFemia.html KaterynaStoyka.html GennaroDiMambro.html AntonioMaffucci.html SalvatoreVentre.html FabioVillone.html
39. 1 ding:2022:LEOL Lexicase Selection at Scale LiDing.html RyanBoldi.html ThomasHelmuth.html LeeSpector.html
40. Esfahanipour20118438 A genetic programming model to generate risk-adjusted technical trading rules in stock markets AkbarEsfahanipour.html SomayehMousavi.html
41. 2 Esfahanipour:2014:IIEC A genetic network programming model for portfolio optimization by generating risk-adjusted trading rules AkbarEsfahanipour.html MaryamTayari.html
42. 18 DBLP:conf/cec/FanB0Z25 Flexible Region Detection-based Genetic Programming for Fish Classification With Low-Quality Images JigangFan.html YingBi.html BingXue.html MengjieZhang.html
43. 1 Ferrari:2022:ICDM Multi-Objective Symbolic Regression for Data-Driven Scoring System Management DavideFerrari.html VeronicaGuidetti.html FedericaMandreoli.html
44. 1 FerrucciGOS10 Genetic Programming for Effort Estimation: An Analysis of the Impact of Different Fitness Functions FilomenaFerrucci.html CarmineGravino.html RoccoOliveto.html FedericaSarro.html
45. 6 Frade:2012:SC Automatic evolution of programs for procedural generation of terrains for video games MiguelFrade.html FranciscoFernandezdeVega.html CarlosCotta.html
46. 30 FRANKLIN:2022:OM On the runup parameterisation for reef-lined coasts GemmaLFranklin.html AlecTorres-Freyermuth.html
47. 1 gagne:thesis Algorithmes evolutionnaires appliques a la reconnaissance des formes et a la conception optique ChristianGagne.html
48. 2 Gemeinhardt:thesis A Model-Driven Quantum Software Development Framework for Combinatorial Optimization FelixGemeinhardt.html
49. 2 Gemeinhardt:2025:JSS GeQuPI: Quantum Program Improvement with Multi-Objective Genetic Programming FelixGemeinhardt.html StefanKlikovits.html ManuelWimmer.html
50. 2 Gervasi:2019:EuroGP A Genetic Programming Approach to Predict Mosquitoes Abundance RiccardoGervasi.html IreneAzzali.html DonalBisanzio.html MarioGiacobini.html AndreaMosca.html LuigiBertolotti.html
51. 2 Goldman:2014:ieeeTEC Analysis of Cartesian Genetic Programming's Evolutionary Mechanisms BrianWGoldman.html WilliamFPunch.html
52. 1 Harman:2013:WCRE Genetic Programming for Reverse Engineering MarkHarman.html WilliamBLangdon.html WestleyWeimer.html
53. 1 Harman:2014:Babel Babel Pidgin: SBSE Can Grow and Graft Entirely New Functionality into a Real World System MarkHarman.html YueJia.html WilliamBLangdon.html
54. 1 Hauptman:thesis Evolving Search Heuristics for Combinatorial Games with Genetic Programming AmiHauptman.html
55. 1 Heywood:2025:GPTP Offline reinforcement learning: A new challenge for symbolic regression? BryceMacInnis.html MalcolmHeywood.html
56. 18 DBLP:conf/cec/HuangMRZTLZR25 Genetic Programming Hyper-Heuristic for the Dynamic Electric Dial-a-Ride Problem WilliamHuang.html YiMei.html GuntherRRaidl.html FangfangZhang.html LaurenzTomandl.html SteffenLimmer.html MengjieZhang.html TobiasRodemann.html
57. 19 Icke:2013:CEC Modeling Hierarchy Using Symbolic Regression IlknurIcke.html JoshCBongard.html
58. 1 igel:1999:IIDDGCFGP Investigating the Influence of Depth and Degree of Genotypic Change on Fitness in Genetic Programming ChristianIgel.html KumarChellapilla.html
59. 14 Jackson:2009:cec Self-Adaptive Focusing of Evolutionary Effort in Hierarchical Genetic Programming DavidJackson.html
60. 1 Javed:book Techniques for Context-Free Grammar Induction and Applications: Application of novel inference algorithms to software maintenance problems FaizanJaved.html
61. 1 jia:2015:gsgp Grow and Serve: Growing Django Citation Services Using SBSE YueJia.html MarkHarman.html WilliamBLangdon.html AlexandruMarginean.html
62. 18 kattan08:_gp_zip Evolutionary Lossless Compression with GP-ZIP AhmedKattan.html RiccardoPoli.html
63. 2 Kattan:2011:GPEM Evolution of human-competitive lossless compression algorithms with GP-zip2 AhmedKattan.html RiccardoPoli.html
64. 1 khosraviani:2004:lbp Organization Design Optimization Using Genetic Programming BijanKHosraviani.html RaymondElliotLevitt.html JohnKoza.html
65. 5 KHosraviani_2005 An Evolutionary Approach for Project Organization Design: Producing Human-Competitive Results using Genetic Programming BijanKHosraviani.html
66. 1 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
67. 4 icnn93:kinnear Evolving a Sort: Lessons in Genetic Programming KennethEKinnearJr.html
68. 35 Kong:2023:ACC Generating Fake News Detection Model Using A Two-Stage Evolutionary Approach JefferyTHKong.html WeiKittWong.html FilbertHJuwono.html CaturApriono.html
69. 3 Korns:2015:hbgpa Trading Volatility Using Highly Accurate Symbolic Regression MichaelKorns.html
70. 7 Kotanchek:2007:GPTP Trustable symbolic regression models: using ensembles, interval arithmetic and Pareto fronts to develop robust and trust-aware models MarkKotanchek.html GuidoFSmits.html Ekaterina_Katya_Vladislavleva.html
71. 5 Kovacic:2010:RMZ Critical inclusion size in spring steel and genetic programming MihaKovacic.html SandraSencic.html
72. 6 Koyuncu:thesis Boosting Automated Program Repair for Adoption By Practitioners AnilKoyuncu.html
73. 1 PhD-Thesis-E18SOE822-Arvind-Final-signed Unbalanced data classification Using genetic programming ArvindKumar.html
74. 2 langdon:thesis Data Structures and Genetic Programming WilliamBLangdon.html
75. 4 Langdon:1997:bloatMUTet Fitness Causes Bloat: Mutation WilliamBLangdon.html RiccardoPoli.html
76. 1 langdon:fogp Foundations of Genetic Programming WilliamBLangdon.html RiccardoPoli.html
77. 4 langdon:2009:gecco2 Multi Objective Higher Order Mutation Testing with GP WilliamBLangdon.html MarkHarman.html YueJia.html
78. 3 langdon:2009:TAICPART Multi Objective Mutation Testing with Genetic Programming WilliamBLangdon.html MarkHarman.html YueJia.html
79. 2 langdon:2010:jss Efficient multi-objective higher order mutation testing with genetic programming WilliamBLangdon.html MarkHarman.html YueJia.html
80. 2 Langdon:2015:SSBSE Genetic Improvement of Software for Multiple Objectives WilliamBLangdon.html
81. 18 DBLP:conf/cec/LiM25 Semantic-aware Surrogate-assisted Genetic Programming for Feature Construction in Classification JiayiLi.html JianbinMa.html
82. 4 Li:gecco05lbp Prefix Gene Expression Programming XinLi.html ChiZhou.html WeiminXiao.html PeterCNelson.html
83. 18 DBLP:conf/cec/Liu0025 Curriculum Learning in Genetic Programming Guided Local Search for Large-scale Vehicle Routing Problems SainingLiu.html YiMei.html MengjieZhang.html
84. 1 Liu:2018:evoApplications Adapting Bagging and Boosting to Learning Classifier Systems YiLiu2.html WillNBrowne.html BingXue.html
85. 25 DBLP:journals/rcs/Loaiza-Meseguer22 Genetic Programming in Software Engineering LeslieLoaiza-Meseguer.html AngelJuanSanchez-Garcia.html JorgeOctavioOcharan-Hernandez.html
86. 5 Lopez:2016:GI Genetic Programming: From design to improved implementation VictorRaulLopezLopez.html LeonardoTrujillo.html PierrickLegrand.html GustavoOlague.html
87. 2 Lorway:2021:AIMC Autopia: An AI collaborator for live networked computer music performance NorahLorway.html EdwardPowley.html ArthurWilson.html
88. 19 DBLP:conf/cec/LuoLJ25 A Convolutional Sparse Representations Integration Strategy Based on Self-Attention Genetic Programming for Multimodal Image Fusion YiLuo.html ChangLiu.html DongJi.html
89. 3 Manahov:thesis An investigation of the behaviour of financial markets using agent-based computational models ViktorManahov.html
90. 1 Marginean:2015:SSBSE Automated Transplantation of Call Graph and Layout Features into Kate AlexandruMarginean.html EarlBarr.html MarkHarman.html YueJia.html
91. 1 marney:2000:jasss Why do simulation? Towards a working epistemology for practitioners of the dark arts JohnPaulMarney.html HeatherFETarbert.html
92. 1 MERKURYEVA:2019:procs Demand forecasting in pharmaceutical supply chains: A case study GalinaMerkurjeva.html AijaValberga.html AlexanderVSmirnov.html
93. 1 510373 The genetic algorithm as a discovery engine: strange circuits and new principles JulianFMiller.html TatianaKalganova.html DominicJob.html NataliaGLipnitskaya.html
94. 23 moller:2023:AI An adaptive mutation for cartesian genetic programming using an epsilon-greedy strategy FredericoJoseDiasMoller.html HederSoaresBernardino.html StenioSaRosarioFurtadoSoares.html LucasAugustoMullerdeSouza.html
95. 2 DBLP:conf/ppsn/MoraglioM18 Program Trace Optimization AlbertoMoraglio.html JamesMcDermott.html
96. 24 morales-paredes:2025:GECCO2 Automatic Design of Specialized Variation Operators for the Multi-Objective Quadratic Assignment Problem AdrianIsaiMorales-Paredes.html JulioJuarez.html JesusGuillermoFalcon-Cardona.html HugoTerashima-Marin.html CarlosArtemioCoelloCoello.html
97. 8 Nguyen:2006:ASPGP A Brief Overview of Population Diversity Measures in Genetic Programming NguyenThiHien.html NguyenXuanHoai.html
98. 1 OteroJFT10 Refactoring in Automatically Generated Programs FernandoEstebanBarrilOtero.html ColinGJohnson.html AlexAlvesFreitas.html SimonJThompson.html
99. 1 Petke:2013:SSBSE Applying Genetic Improvement to MiniSAT JustynaPetke.html WilliamBLangdon.html MarkHarman.html
100. 3 Polimon:2008:IJKBIES Automated design of a lightweight block cipher with Genetic Programming JavierPolimon.html JulioCesarHernandez-Castro.html JuanManuelEstevez-Tapiador.html DArturoRibagordaGarnacho.html
101. 1 Purohit:2013:ICTACT a new mutation operator in genetic programming AnuradhaPurohit.html NarendraSChoudhari.html ArunaTiwari.html
102. 18 DBLP:conf/cec/Qiao00025 Preference-Based Multi-Objective Genetic Programming for Energy-Efficient Dynamic Flexible Job Shop Scheduling ZhuoyinQiao.html FangfangZhang.html YiMei.html MengjieZhang.html
103. 1 Raymond:thesis Meta-Learning Loss Functions for Deep Neural Networks ChristianRaymond.html
104. 18 thesis_Gijs_Rennen Efficient approximation of black-box functions and Pareto sets GijsRennen.html
105. 1 reynolds:1994:ica An introduction to cultural algorithms RobertGReynolds.html
106. 5 FULL_THESIS_MRezania2008 Evolutionary Polynomial Regression Based Constitutive Modelling and Incorporation in Finite Element Analysis MohammadRezania.html
107. 1 rimas:2024:CEC Feature Selection for GPSR Based on Maximal Information Coefficient and Shapley Values MohamadRimasMohamadAnfar.html QiChen.html MengjieZhang.html
108. 1 rooke:2001:CES Eons of Genetically Evolved Algorithmic Images StevenRooke.html
109. 14 Rosca:1997:cdGP Analysis of Complexity Drift in Genetic Programming JustinianRosca.html
110. 1 Ruiz-Ortega:2024:SciRep An evolutionary parsimonious approach to estimate daily reference evapotranspiration FranciscoJavierRuizOrtega.html EddieHelbertClementeTorres.html AliciaMartinezRebollar.html JoseJassonFloresPrieto.html
111. 17 salama:2025:GECCOcomp Leveraging Genetic Algorithm to Refine Genetic Programming-Evolved Dispatching Rules for Flexible Job Shop Scheduling ShadySalama.html MateKovacs.html
112. 1 santos:2025:GECCOcomp Learning the Particle Swarm Optimization Velocity Update via Genetic Programming FredericoJJBSantos.html AndreaDeLorenzo.html LucaManzoni.html GloriaPietropolli.html
113. 5 Sattar:thesis Lung Cancer Classification with Discriminant Features of Mutated Genes using Machine Learning MohsinSattar.html
114. 1 Schmidhuber:1999:ECTA A general method for incremental self-improvement and multiagent learning JurgenSchmidhuber.html
115. 1 Serruto2019 Many-Objective Cooperative Co-evolutionary Linear Genetic Programming Applied to the Automatic Microcontroller Program Generation WildorFerrelSerruto.html LuisAlbertoAlfaroCasas.html
116. SHAMSUDDIN-DISSERTATION-2019 Analyzing and Synthesizing Healthcare Time Series Data For Decision-Support RittikaShamsuddin.html
117. 1 Shevertalov:2010:SSBSE Using Search Methods for Selecting and Combining Software Sensors to Improve Fault Detection in Autonomic Systems MaximShevertalov.html KevinLynch.html EdwardStehle.html ChrisRorres.html SpirosMancoridis.html
118. 2 sidhu:1998:fpl Genetic Programming using Self-Reconfigurable FPGAs ReetinderPSSidhu.html AlessandroMei.html ViktorKPrasanna.html
119. silva:2003:gecco Dynamic Maximum Tree Depth SaraSilva.html JonasSAlmeida.html
120. 8 smith:1997:rGP2pevltmdv Microprocessor Design Verification by Two-Phase Evolution of Variable Length Tests JamesSmith.html MichaelBartley.html TerenceCFogarty.html
121. 1 soule:1998:rbias Removal Bias: a New Cause of Code Growth in Tree Based Evolutionary Programming TerenceSoule.html JamesAFoster.html
122. 20 soule:2002:ISCIS Solution Stability in Evolutionary Computation TerenceSoule.html RobertBHeckendorn.html JianShen.html
123. 15 stanovov:2025:GECCOcomp Genetic Improvement of Dynamic Optimization Algorithms using PushGP VladimirStanovov.html EugeneSemenkin.html
124. 18 DBLP:conf/cec/SunM25 A Genetic Programming-Based Approach for Automated Dispatching Rules Design in Dynamic EDA Scientific Workflows YuSun.html YingMeng.html
125. 2 Taleby-Ahvanooey:2019:itiis A Survey of Genetic Programming and Its Applications MiladTalebyAhvanooey.html QianmuLi.html ShuoWang.html ShuoWang.html
126. 10 TENG:2021:PCS Generating and Optimizing Human-Readable Quantitative Program Trading Strategies through a Genetic Programming Framework BinTeng.html YufengShi.html XinWang.html YunchuanSun.html
127. 7 THON:2022:cej Multi-modal framework to model wet milling through numerical simulations and artificial intelligence (part 2) ChristophThon.html Ann-ChristinBrandt.html Felix-TomMoehlen.html MinghuiYu.html ArnoKwade.html CarstenSchilde.html
128. 18 DBLP:conf/cec/TianMZ25 Genetic Programming with Activity Group Selection for Dynamic Multi-mode Resource-Constrained Project Scheduling Problems YuanTian.html YiMei.html MengjieZhang.html
129. 16 toropov:1998:GPcsga Application of Genetic Programming to the Choice of a Structure of Global Approximations VassiliVToropov.html LuisFAlvarez.html
130. 1 Vahdat:thesis Symbiotic evolutionary subspace clustering (S-ESC) AliVahdat.html
131. 7 vanbelle:2002:EuroGP Uniform Subtree Mutation TerryVanBelle.html DavidHAckley.html
132. 35 Visco:2024:compbiomed An explainable model for predicting Worsening Heart Failure based on genetic programming ValeriaVisco.html AntonioRobustelli.html FrancescoLoria.html AntonellaRispoli.html FrancescaPalmieri.html AlessiaBramanti.html AlbinoCarrizzo.html CarmineVecchione.html FrancescoPalmieri.html MicheleCiccarelli.html GianniD'Angelo.html
133. 18 DBLP:conf/cec/WangCXZ25 Semantics-Driven Task Similarity in Multi-Task Genetic Programming for Multi-Output Symbolic Regression ChunyuWang.html QiChen.html BingXue.html MengjieZhang.html
134. 3 wen:2021:SichuanUniversity Application of Automated Machine Learning Based on Radiomics Features of T2WI and RS-EPI DWI to Predict Preoperative T Staging of Rectal Cancer Da-GuangWen.html Si-XianHu.html Zhen-LinLi.html Xiang-BingDeng.html ChuanTian.html XinLi2.html Xin-RongWang.html QiLeng.html Chun-ChaoXia.html
135. 1 Wu:2016:SSBSE HOMI: Searching Higher Order Mutants For Software Improvement FanWu.html MarkHarman.html YueJia.html JensKrinke.html
136. 24 Xie:2025:ast Genetic programming method for satellite optimization design with quantification of multi-granularity model uncertainty ShucongXie.html YunfengDong.html ZhihuaLiang.html
137. 2 Yoo:2015:SSBSE Amortised Optimisation of Non-functional Properties in Production Environments ShinYoo.html
138. 21 DBLP:conf/cec/YuLBL25 Automatic Feature Learning via Genetic Programming with Flexible Filtering for Skin Cancer Image Classification KunjieYu.html JintaoLian.html YingBi.html JingLiang.html
139. 2 ChiYuenProject Selective Crossover Using Gene Dominance as an Adaptive Strategy for Genetic Programming ChiChungYuen.html
140. 1 Zhang:book Genetic Programming for Production Scheduling: An Evolutionary Learning Approach FangfangZhang.html SuNguyen.html YiMei.html MengjieZhang.html
141. 31 ZHANG:2023:engstruct Prediction of long-term prestress loss for prestressed concrete cylinder structures using machine learning HangZhang.html Quan-QuanGuo.html Li-YanXu.html
142. 5 Zhang:2006:WSC Multiobjective Genetic Programming Feature Extraction with Optimized Dimensionality YangZhang.html PeterIRockett.html
143. 18 DBLP:conf/cec/ZhangLHJLP25 A Multi-Objective Genetic Programming with Size Diversity for Symbolic Regression Problem YujieZhang.html GuoquanLi.html ZhengwenHuang.html JinshuoJia.html XiangLi.html DonghuiPeng.html
144. 18 DBLP:conf/cec/Zhang00Z25 Multimodal Image Classification Using Genetic Programming for Alzheimer's Disease Diagnosis YuyeZhang.html FangfangZhang.html BingXue.html MengjieZhang.html
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