Changes to Genetic Programing Bibliography since 2025/09/17

New and modified entries

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. Heywood:2024:hbEML Evolutionary Ensemble Learning MalcolmHeywood.html
  8. kushwaha2025genetic Genetic AI Algorithms: Evolutionary Approaches for Solving Complex Computational Problems AjayShriramKushwaha.html
  9. liang:2025:CEC A Two-Stage Approach Combining Feature Selection and Construction for Hyperspectral Crop Classification JingLiang.html ZexuanYang.html YingBi.html
  10. Qiu:2025:CEC Benchmarking Streaming Evolutionary Ensemble Learning under Shifting Imbalanced Data ZiyuQiu.html MalcolmHeywood.html
  11. shen:2025:CEC Gradient Descent Emerges via Natural Selection AilunShen.html
  12. DBLP:journals/at/TolleBGM12 Optimierungsans\"atze f\"ur die Bioverfahrenstechnik HenningTolle.html KurtDirkBettenhausen.html StefanGehlen.html PeterMarenbach.html
  13. Shaolin_Wang:thesis Explainable Genetic Programming for Evolving Routing Policies of Uncertain Capacitated Arc Routing Problems ShaolinWang.html
  14. 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
  15. wu:2025:CEC3 Multitree GP-Based Feature Learning for Multimodal Medical Image Classification ZhichengWu.html BingXue.html MengjieZhang.html
  16. 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
  17. 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 Afzal:2009:SSBSE Search-Based Prediction of Fault Count Data WasifAfzal.html RichardTorkar.html RobertFeldt.html
  2. 1 Afzal:2010:SSBSE Search-based Prediction of Fault-slip-through in Large Software Projects WasifAfzal.html RichardTorkar.html RobertFeldt.html GregerWikstrand.html
  3. 1 Afzal:thesis Search-Based Prediction of Software Quality: Evaluations And Comparisons WasifAfzal.html
  4. 1 Afzali:thesis Evolutionary Computation for Feature Manipulation in Salient Object Detection ShimaAfzali.html
  5. 5 Muhammad_Sarmad_Ali:thesis Automatic Production Selection in Grammatical Evolution MuhammadSarmadAli.html
  6. 14 AlNajar:thesis Estimating Coastal Evolution with Machine Learning MahmoudAlNajar.html
  7. 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
  8. 1 Arcuri:2009:SSBSE On Search Based Software Evolution AndreaArcuri.html
  9. 1 Aydogan:2015:evoApplications Automatic Generation of Mobile Malwares Using Genetic Programming EmreAydogan.html SevilSen.html
  10. 2 Bi:2018:JZU A Survey on Genetic Programming to Image Analysis YingBi.html BingXue.html MengjieZhang.html
  11. 1 bouras:2025:GI LLM-Assisted Crossover in Genetic Improvement of Software DimitriosStamatiosBouras.html SergeyMechtaev.html JustynaPetke.html
  12. 1 BradburyJ10 Automatic Repair of Concurrency Bugs JeremySBradbury.html KevinJalbert.html
  13. 1 Brunello:2023:ACC Monitors That Learn From Failures: Pairing STL and Genetic Programming AndreaBrunello.html DarioDellaMonica.html AngeloMontanari.html NicolaSaccomanno.html AndreaUrgolo.html
  14. 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
  15. 1 Burles:2015:SSBSEa Specialising Guava's Cache to Reduce Energy Consumption NathanBurles.html EdwardBowles.html BobbyRBruce.html KomsanSrivisut.html
  16. 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
  17. 4 Cani:2014:SAC Towards automated malware creation: code generation and code integration AndreaCani.html MarcoGaudesi.html ErnestoSanchez.html GiovanniSquillero.html AlbertoTonda.html
  18. 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
  19. 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
  20. 1 Cody-Kenny:2013:SSBSE The Emergence of Useful Bias in Self-focusing Genetic Programming for Software Optimisation BrendanCody-Kenny.html StephenBarrett.html
  21. 1 de-sa:2024:GECCOcomp Towards Evolutionary-based Automated Machine Learning for Small Molecule Pharmacokinetic Prediction AlexGCdeSa.html DavidBAscher.html
  22. 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
  23. 1 denardi08coevolutionary Coevolutionary modelling of a miniature rotorcraft RenzoDeNardi.html OwenHolland.html
  24. 1 Deschaine:thesis Decision support for complex planning challenges - Combining expert systems, engineering-oriented modeling, machine learning, information theory, and optimization technology LarryMDeschaine.html
  25. 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
  26. Esfahanipour20118438 A genetic programming model to generate risk-adjusted technical trading rules in stock markets AkbarEsfahanipour.html SomayehMousavi.html
  27. 2 Esfahanipour:2014:IIEC A genetic network programming model for portfolio optimization by generating risk-adjusted trading rules AkbarEsfahanipour.html MaryamTayari.html
  28. 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
  29. 1 FerrucciGOS10 Genetic Programming for Effort Estimation: An Analysis of the Impact of Different Fitness Functions FilomenaFerrucci.html CarmineGravino.html RoccoOliveto.html FedericaSarro.html
  30. 6 Frade:2012:SC Automatic evolution of programs for procedural generation of terrains for video games MiguelFrade.html FranciscoFernandezdeVega.html CarlosCotta.html
  31. 1 gagne:thesis Algorithmes evolutionnaires appliques a la reconnaissance des formes et a la conception optique ChristianGagne.html
  32. 2 Gemeinhardt:thesis A Model-Driven Quantum Software Development Framework for Combinatorial Optimization FelixGemeinhardt.html
  33. 2 Gemeinhardt:2025:JSS GeQuPI: Quantum Program Improvement with Multi-Objective Genetic Programming FelixGemeinhardt.html StefanKlikovits.html ManuelWimmer.html
  34. 2 Goldman:2014:ieeeTEC Analysis of Cartesian Genetic Programming's Evolutionary Mechanisms BrianWGoldman.html WilliamFPunch.html
  35. 1 Harman:2013:WCRE Genetic Programming for Reverse Engineering MarkHarman.html WilliamBLangdon.html WestleyWeimer.html
  36. 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
  37. 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
  38. 19 Icke:2013:CEC Modeling Hierarchy Using Symbolic Regression IlknurIcke.html JoshCBongard.html
  39. 14 Jackson:2009:cec Self-Adaptive Focusing of Evolutionary Effort in Hierarchical Genetic Programming DavidJackson.html
  40. 1 jia:2015:gsgp Grow and Serve: Growing Django Citation Services Using SBSE YueJia.html MarkHarman.html WilliamBLangdon.html AlexandruMarginean.html
  41. 1 khosraviani:2004:lbp Organization Design Optimization Using Genetic Programming BijanKHosraviani.html RaymondElliotLevitt.html JohnKoza.html
  42. 5 KHosraviani_2005 An Evolutionary Approach for Project Organization Design: Producing Human-Competitive Results using Genetic Programming BijanKHosraviani.html
  43. 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
  44. 35 Kong:2023:ACC Generating Fake News Detection Model Using A Two-Stage Evolutionary Approach JefferyTHKong.html WeiKittWong.html FilbertHJuwono.html CaturApriono.html
  45. 5 Kovacic:2010:RMZ Critical inclusion size in spring steel and genetic programming MihaKovacic.html SandraSencic.html
  46. 6 Koyuncu:thesis Boosting Automated Program Repair for Adoption By Practitioners AnilKoyuncu.html
  47. 2 langdon:thesis Data Structures and Genetic Programming WilliamBLangdon.html
  48. 1 langdon:fogp Foundations of Genetic Programming WilliamBLangdon.html RiccardoPoli.html
  49. 2 Langdon:2015:SSBSE Genetic Improvement of Software for Multiple Objectives WilliamBLangdon.html
  50. 18 DBLP:conf/cec/LiM25 Semantic-aware Surrogate-assisted Genetic Programming for Feature Construction in Classification JiayiLi.html JianbinMa.html
  51. 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
  52. 25 DBLP:journals/rcs/Loaiza-Meseguer22 Genetic Programming in Software Engineering LeslieLoaiza-Meseguer.html AngelJuanSanchez-Garcia.html JorgeOctavioOcharan-Hernandez.html
  53. 5 Lopez:2016:GI Genetic Programming: From design to improved implementation VictorRaulLopezLopez.html LeonardoTrujillo.html PierrickLegrand.html GustavoOlague.html
  54. 2 Lorway:2021:AIMC Autopia: An AI collaborator for live networked computer music performance NorahLorway.html EdwardPowley.html ArthurWilson.html
  55. 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
  56. 3 Manahov:thesis An investigation of the behaviour of financial markets using agent-based computational models ViktorManahov.html
  57. 1 Marginean:2015:SSBSE Automated Transplantation of Call Graph and Layout Features into Kate AlexandruMarginean.html EarlBarr.html MarkHarman.html YueJia.html
  58. 1 marney:2000:jasss Why do simulation? Towards a working epistemology for practitioners of the dark arts JohnPaulMarney.html HeatherFETarbert.html
  59. 1 MERKURYEVA:2019:procs Demand forecasting in pharmaceutical supply chains: A case study GalinaMerkurjeva.html AijaValberga.html AlexanderVSmirnov.html
  60. 23 moller:2023:AI An adaptive mutation for cartesian genetic programming using an epsilon-greedy strategy FredericoJoseDiasMoller.html HederSoaresBernardino.html StenioSaRosarioFurtadoSoares.html LucasAugustoMullerdeSouza.html
  61. 2 DBLP:conf/ppsn/MoraglioM18 Program Trace Optimization AlbertoMoraglio.html JamesMcDermott.html
  62. 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
  63. 8 Nguyen:2006:ASPGP A Brief Overview of Population Diversity Measures in Genetic Programming NguyenThiHien.html NguyenXuanHoai.html
  64. 1 OteroJFT10 Refactoring in Automatically Generated Programs FernandoEstebanBarrilOtero.html ColinGJohnson.html AlexAlvesFreitas.html SimonJThompson.html
  65. 1 Petke:2013:SSBSE Applying Genetic Improvement to MiniSAT JustynaPetke.html WilliamBLangdon.html MarkHarman.html
  66. 3 Polimon:2008:IJKBIES Automated design of a lightweight block cipher with Genetic Programming JavierPolimon.html JulioCesarHernandez-Castro.html JuanManuelEstevez-Tapiador.html DArturoRibagordaGarnacho.html
  67. 1 Purohit:2013:ICTACT a new mutation operator in genetic programming AnuradhaPurohit.html NarendraSChoudhari.html ArunaTiwari.html
  68. 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
  69. 1 Raymond:thesis Meta-Learning Loss Functions for Deep Neural Networks ChristianRaymond.html
  70. 18 thesis_Gijs_Rennen Efficient approximation of black-box functions and Pareto sets GijsRennen.html
  71. 1 reynolds:1994:ica An introduction to cultural algorithms RobertGReynolds.html
  72. 5 FULL_THESIS_MRezania2008 Evolutionary Polynomial Regression Based Constitutive Modelling and Incorporation in Finite Element Analysis MohammadRezania.html
  73. 1 rimas:2024:CEC Feature Selection for GPSR Based on Maximal Information Coefficient and Shapley Values MohamadRimasMohamadAnfar.html QiChen.html MengjieZhang.html
  74. 14 Rosca:1997:cdGP Analysis of Complexity Drift in Genetic Programming JustinianRosca.html
  75. 1 santos:2025:GECCOcomp Learning the Particle Swarm Optimization Velocity Update via Genetic Programming FredericoJJBSantos.html AndreaDeLorenzo.html LucaManzoni.html GloriaPietropolli.html
  76. 5 Sattar:thesis Lung Cancer Classification with Discriminant Features of Mutated Genes using Machine Learning MohsinSattar.html
  77. 1 Schmidhuber:1999:ECTA A general method for incremental self-improvement and multiagent learning JurgenSchmidhuber.html
  78. SHAMSUDDIN-DISSERTATION-2019 Analyzing and Synthesizing Healthcare Time Series Data For Decision-Support RittikaShamsuddin.html
  79. 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
  80. 2 sidhu:1998:fpl Genetic Programming using Self-Reconfigurable FPGAs ReetinderPSSidhu.html AlessandroMei.html ViktorKPrasanna.html
  81. 8 smith:1997:rGP2pevltmdv Microprocessor Design Verification by Two-Phase Evolution of Variable Length Tests JamesSmith.html MichaelBartley.html TerenceCFogarty.html
  82. 1 soule:1998:rbias Removal Bias: a New Cause of Code Growth in Tree Based Evolutionary Programming TerenceSoule.html JamesAFoster.html
  83. 20 soule:2002:ISCIS Solution Stability in Evolutionary Computation TerenceSoule.html RobertBHeckendorn.html JianShen.html
  84. 15 stanovov:2025:GECCOcomp Genetic Improvement of Dynamic Optimization Algorithms using PushGP VladimirStanovov.html EugeneSemenkin.html
  85. 18 DBLP:conf/cec/SunM25 A Genetic Programming-Based Approach for Automated Dispatching Rules Design in Dynamic EDA Scientific Workflows YuSun.html YingMeng.html
  86. 2 Taleby-Ahvanooey:2019:itiis A Survey of Genetic Programming and Its Applications MiladTalebyAhvanooey.html QianmuLi.html ShuoWang.html ShuoWang.html
  87. 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
  88. 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
  89. 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
  90. 16 toropov:1998:GPcsga Application of Genetic Programming to the Choice of a Structure of Global Approximations VassiliVToropov.html LuisFAlvarez.html
  91. 1 Vahdat:thesis Symbiotic evolutionary subspace clustering (S-ESC) AliVahdat.html
  92. 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
  93. 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
  94. 1 Wu:2016:SSBSE HOMI: Searching Higher Order Mutants For Software Improvement FanWu.html MarkHarman.html YueJia.html JensKrinke.html
  95. 24 Xie:2025:ast Genetic programming method for satellite optimization design with quantification of multi-granularity model uncertainty ShucongXie.html YunfengDong.html ZhihuaLiang.html
  96. 2 Yoo:2015:SSBSE Amortised Optimisation of Non-functional Properties in Production Environments ShinYoo.html
  97. 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
  98. 2 ChiYuenProject Selective Crossover Using Gene Dominance as an Adaptive Strategy for Genetic Programming ChiChungYuen.html
  99. 1 Zhang:book Genetic Programming for Production Scheduling: An Evolutionary Learning Approach FangfangZhang.html SuNguyen.html YiMei.html MengjieZhang.html
  100. 5 Zhang:2006:WSC Multiobjective Genetic Programming Feature Extraction with Optimized Dimensionality YangZhang.html PeterIRockett.html
  101. 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
  102. 18 DBLP:conf/cec/Zhang00Z25 Multimodal Image Classification Using Genetic Programming for Alzheimer's Disease Diagnosis YuyeZhang.html FangfangZhang.html BingXue.html MengjieZhang.html
  103. 18 DBLP:conf/cec/ZhaoJXLGWW25 Dual-Tree Genetic Programming for Automated Discovery of Computing Power Network Scheduling Heuristics BenjieZhao.html RuwangJiao.html MengXu.html ShuaishuaiLiu.html ChaoGuo.html ShaolinWang.html JinWang.html
  104. 18 DBLP:conf/cec/ZhouC00RGK25 Genetic Programming for High-Level Multi-Spectral Data Fusion in Fish Biochemical Analysis YunZhou.html GangChen.html BingXue.html MengjieZhang.html JeremySRooney.html KeithCGordon.html DanielPKilleen.html
  105. 18 DBLP:conf/cec/Zhu0M025 Investigation of Decision Making with Scheduling Rules Learned via Genetic Programming for Dynamic Flexible Job Shop Scheduling LuyaoZhu.html FangfangZhang.html YiMei.html MengjieZhang.html

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