Changes to Genetic Programing Bibliography since 2020/02/13

New and modified entries


  1. glasilo_1_16_ang Store Steel 165 years
  2. Al-Helali:2020:EuroGP Hessian Complexity Measure for Genetic Programming-based Imputation Predictor Selection in Symbolic Regression with Incomplete Data BalighAl-Helali.html QiChen.html BingXue.html MengjieZhang.html
  3. Anjum:2020:EuroGP Seeding Grammars in Grammatical Evolution to Improve Search Based Software Testing MuhammadSherazAnjum.html ConorRyan.html
  4. AnsariArdeh:2019:CEC Transfer Learning in Genetic Programming Hyper-heuristic for Solving Uncertain Capacitated Arc Routing Problem MazharAnsariArdeh.html YiMei.html MengjieZhang.html
  5. AnsariArdeh:2019:GECCOcomp Genetic programming hyper-heuristic with knowledge transfer for uncertain capacitated arc routing problem MazharAnsariArdeh.html YiMei.html MengjieZhang.html
  6. Assuncao:2020:EuroGP Incremental Evolution and Development of Deep Artificial Neural Networks FilipeAssuncao.html NunoLourenco.html BernardeteRibeiro.html PenousalMachado.html
  7. Azzali:2020:EuroGP Investigating the Use of Geometric Semantic Operators in Vectorial Genetic Programming IreneAzzali.html LeonardoVanneschi.html MarioGiacobini.html
  8. Blot:2020:EuroGP Comparing Genetic Programming Approaches for Non-Functional Genetic Improvement AymericBlot.html JustynaPetke.html
  9. Blot:2020:GI Synthetic Benchmarks for Genetic Improvement AymericBlot.html JustynaPetke.html
  10. Blot:2020:GIsp Stack-Based Genetic Improvement AymericBlot.html JustynaPetke.html
  11. Contador:2020:SAC Profiled Glucose Forecasting using Genetic Programming and Clustering SergioContador.html JoseManuelVelascoCabo.html OscarGarnica.html JoseIgnacioHidalgoPerez.html
  12. defoinplatel:tel-00131993 Homology in Genetic Programming Application to inverse problem solving MichaelDefoinPlatel.html
  13. elgerari:tel-00918968 Some contributions to improve Genetic Programming OussamaElGerari.html
  14. fayolle:tel-00476678 Reconstruction of 3D objects using a functional representation Pierre-AlainFayolle.html
  15. Gulic:thesis Parallelization of vehicle routing algorithms by using database with domain-specific embedded functionsParalelizacija algoritama za rjesavanje problema usmjeravanja vozila koristenjem baza podataka s ugradenim domenski usmjerenim funkcijama MatijaGulic.html
  16. editorial:GPEM:H2019 Special issue on highlights of genetic programming 2019 events TingHu.html MiguelNicolau.html LukasSekanina.html
  17. Hu:2020:GP EuroGP 2020: Proceedings of the 23rd European Conference on Genetic Programming TingHu.html NunoLourenco.html EricMedvet.html
  18. Ivask:thesis Digital Test in WEB-Based Environment EeroIvask.html
  19. Jakobovic:thesis Scheduling based on adaptive rules DomagojJakobovic.html
  20. Kaliakatsos-Papakostas:thesis Computational intelligence methods for automated musical analysis and synthesis MaximosAKaliakatsos-Papakostas.html
  21. Kose2010315 Modeling of transfer length of prestressing strands using genetic programming and neuro-fuzzy MehmetMetinKose.html CaferKayadelen.html
  22. krauss_towards_2020 Towards Knowledge Guided Genetic Improvement OliverKrauss.html HanspeterMoessenboeck.html MichaelAffenzeller.html
  23. LaCava:GPEM Learning feature spaces for regression with genetic programming WilliamLaCava.html JasonHMoore.html
  24. langdon:2020:cec Genetic Improvement of Genetic Programming WilliamBLangdon.html
  25. Kui_Liu:thesis Deep Pattern Mining for Program Repair KuiLiu.html
  26. Lones:2020:EuroGP Optimising Optimisers with Push GP MichaelALones.html
  27. mac:2018:AJCAI An Improved Genetic Programming Hyper-Heuristic for the Uncertain Capacitated Arc Routing Problem JordanMacLachlan.html YiMei.html JurgenBranke.html MengjieZhang.html
  28. MacLachlan:ECJ:gphh Genetic Programming Hyper-Heuristics with Vehicle Collaboration for Uncertain Capacitated Arc Routing Problems JordanMacLachlan.html YiMei.html JurgenBranke.html MengjieZhang.html
  29. mahboub:tel-00696675 Emotional processes modelling in decision making KarimMahboub.html
  30. Mariot:2020:EuroGP An Evolutionary View on Reversible Shift-invariant Transformations LucaMariot.html StjepanPicek.html DomagojJakobovic.html AlbertoLeporati.html
  31. mazyad:tel-02010316 Contribution to automatic text classification : metrics and evolutionary algorithms AhmadMazyad.html
  32. mcphee_2020_gpem GP+EM 20 Anniversary Editorial NicholasFreitagMcPhee.html WilliamBLangdon.html
  33. Nezirevic:2016:TMT Modeling Of The Pressing Forces Using Genetic Programming EkremNezirevic.html BahrudinHrnjica.html AtifHodzic.html
  34. Orzechowski:2020:EuroGP Benchmarking manifold learning methods on a large collection of datasets PatrykOrzechowski.html FranciszekMagiera.html JasonHMoore.html
  35. Pavai:2016:ACMsurvey A Survey on Crossover Operators GPavai.html TVGeetha.html
  36. Peng:2007:GPTP Robust engineering design of electronic circuits with active components using genetic programming and bond Graphs XiangdongPeng.html ErikGoodman.html RonaldCRosenberg.html
  37. IJCIS3105 Deductive and Inductive Methods for Program Synthesis JaanPenjam.html ElenaSanko.html
  38. Petke:2020:APR Refining Fitness Functions in Test-Based Program Repair JustynaPetke.html AymericBlot.html
  39. Povoa:thesis Development of unimodal and multimodal optimization algorithms based on multi-gene genetic programming RogerioCBLPovoa.html
  40. PABLO_RAMOS_CRIADO New techniques for Grammar Guided Genetic Programming: dealing with large derivation trees and high cardinality terminal symbol sets PabloRamosCriado.html
  41. Rinard:2020:ACM Adding More Color to Patch Picture MartinRinard.html
  42. Rodrigues:2020:EuroGP Ensemble Genetic Programming NunoMiguelRodrigues.html JoaoEBatista.html SaraSilva.html
  43. roux:tel-00008597 Memory in ants colony algorithms : applications to optimization and automatic programming OlivierRoux.html
  44. Ruberto:2020:EuroGP SGP-DT: Semantic Genetic Programming Based on Dynamic Targets StefanoRuberto.html ValerioTerragni.html JasonHMoore.html
  45. Ruiz-Villalobos:Thesis Efficient Communication Protocols for ad hoc Networks GraciaPatriciaRuizVillalobos.html
  46. Saini:2020:EuroGP Effect of Parent Selection Methods on Modularity AnilKumarSaini.html LeeSpector.html
  47. Sambo:2020:SAC Leveraging Asynchronous Parallel Computing to Produce Simple Genetic Programming Computational Models AliyuSaniSambo.html RMuhammadAtifAzad.html YevgeniyaKovalchuk.html VivekPadmanaabhanIndramohan.html HanifaShah.html
  48. Sambo:2020:EuroGP Time Control or Size Control? Reducing Complexity and Improving Accuracy of Genetic Programming Models AliyuSaniSambo.html RMuhammadAtifAzad.html YevgeniyaKovalchuk.html VivekPadmanaabhanIndramohan.html HanifaShah.html
  49. Seyhan:2010:ICEMS Cellular enzymatic activity and free radical formation in various tissues under static and ELF electric and magnetic field exposure NesrinSeyhan.html AyseGCanseven.html GoknurGuler.html ArinTomruk.html ArzuFirlarer.html
  50. Sobania:2020:EuroGP Challenges of Program Synthesis with Grammatical Evolution DominikSobania.html FranzRothlauf.html
  51. Tarekegn:2020:EuroGP Detection of Frailty using Genetic Programming : The Case of Older People in Piedmont, Italy AdaneNegaTarekegn.html FulvioRicceri.html GiuseppeCosta.html ElisaFerracin.html MarioGiacobini.html
  52. Valencia:thesis In situ Distributed Genetic Programming: An Online Learning Framework for Resource Constrained Networked Devices PhilipValencia.html
  53. Vanneschi:2020:EuroGP Is k Nearest Neighbours Regression Better than GP? LeonardoVanneschi.html MauroCastelli.html LucaManzoni.html SaraSilva.html LeonardoTrujillo.html
  54. DBLP:conf/dsn/WeimerFKGH16 Trusted Software Repair for System Resiliency WestleyWeimer.html StephanieForrest.html MiryungKim.html ClaireLeGoues.html PatrickHurley.html
  55. Winter:2020:GI Human Factors in the Study of Automatic Software Repair: Future Directions for Research with Industry EmilyWinter.html DavidBowes.html SteveCounsell.html TracyHall.html SaemundurOskarHaraldsson.html VesnaNowack.html JohnRWoodward.html
  56. Zegklitz:GPEM: Benchmarking state-of-the-art symbolic regression JanZegklitz.html PetrPosik.html
  57. Zhang:2020:EuroGP Guided Subtree Selection for Genetic Operators in Genetic Programming for Dynamic Flexible Job Shop Scheduling FangfangZhang.html YiMei.html SuNguyen.html MengjieZhang.html
  58. Zhang:2020:EuroGPa Classification of Autism Genes using Network Science and Linear Genetic Programming YuZhang2.html YuanzhuChen.html TingHu.html


  1. 4 adorni:2001:wsc6 Design of Explicitly or Implicitly Parallel Low-resolution Character Recognition Algorithms by Means of Genetic Programming GiovanniAdorni.html StefanoCagnoni.html
  2. 4 an:2019:fse PyGGI 2.0: Language Independent Genetic Improvement Framework GabinAn.html AymericBlot.html JustynaPetke.html ShinYoo.html
  3. 8 kinnear:andrews Genetic Programming for the Acquisition of Double Auction Market Strategies MartinAndrews.html RichardPrager.html
  4. 2 angeline:1995:mcc Morphogenic Evolutionary Computations: Introduction, Issues and Examples PeterJohnAngeline.html
  5. 1 Anjum:2019:EuroGP Ariadne: Evolving test data using Grammatical Evolution MuhammadSherazAnjum.html ConorRyan.html
  6. 1 Anthes:2009:ACM Deep Data Dives Discover Natural Laws GaryAnthes.html
  7. 1 Aranha:2006:ASPGP The effect of using evolutionary algorithms on ant clustering techniques ClausdeCastroAranha.html HitoshiIba.html
  8. 1 Arkov:2000:ARC System Identification Strategies Applied to Aircraft Gas Turbine Engines VArkov.html CEvans.html PeterJFleming.html DCHill.html JPNorton.html IPratt.html DRees.html KatyaRodriguez-Vazquez.html
  9. 18 ashlock:1998:ISAc ISAc Lists, A Different Representation for Program Induction DanielAshlock.html MarkJoenks.html
  10. 1 Atkinson:2019:GECCO Evolving graphs with horizontal gene transfer TimothyAtkinson.html DetlefPlump.html SusanStepney.html
  11. 26 Babuska:2019:GECCO Genetic programming methods for reinforcement learning RobertBabuska.html
  12. 3 Barate:thesis Learning Visual Functions for a Mobile Robot with Genetic Programming RenaudBarate.html
  13. 1 bhanu:2004:ASC Object detection in multi-modal images using genetic programming BirBhanu.html YingqiangLin.html
  14. 2 Bi:2019:GECCO An automated ensemble learning framework using genetic programming for image classification YingBi.html BingXue.html MengjieZhang.html
  15. 17 Bladek:2019:GECCO Solving symbolic regression problems with formal constraints IwoBladek.html KrzysztofKrawiec.html
  16. 1 Briggs:2006:ASPGP Functional genetic programming with combinators ForrestSBriggs.html MelissaEO'Neill.html
  17. 27 Brownlee:2019:GECCO Gin: genetic improvement research made easy AlexanderEIBrownlee.html JustynaPetke.html BradAlexander.html EarlBarr.html MarkusWagner.html DavidRobertWhite.html
  18. 21 Cardoso:2019:GECCO Evolving robust policies for community energy system management RuiPCardoso.html EmmaHart.html JeremyVPitt.html
  19. 1 Christensen:thesis Towards scalable genetic programming SteffenChristensen.html
  20. 1 Devert:2006:ASPGP Evolution design of buildable objects with blind builder: an empirical study AlexandreDevert.html NicolasBredeche.html MarcSchoenauer.html
  21. 20 Doerr:2019:GECCOb Evolving Boolean functions with conjunctions and disjunctions via genetic programming BenjaminDoerr.html AndreiLissovoi.html PietroSOliveto.html
  22. 1 edmonds:2001:mGPcov Meta-Genetic Programming: Co-evolving the Operators of Variation BruceEdmonds.html
  23. 1 ekart:1999:ccgGPm Controlling Code Growth in Genetic Programming by Mutation AnikoEkart.html
  24. 3 Evans:2019:GECCO What's inside the black-box?: a genetic programming method for interpreting complex machine learning models BenjaminEvans.html BingXue.html MengjieZhang.html
  25. 1 Fathinasab:2016:Fuel On the determination of CO2-crude oil minimum miscibility pressure using genetic programming combined with constrained multivariable search methods MohammadFathinasab.html ShahabAyatollahi.html
  26. 4 ferreira:2001:wsc6Aa Gene Expression Programming in Problem Solving CandidaFerreira.html
  27. 17 Galvan:2019:GECCO Promoting semantic diversity in multi-objective genetic programming EdgarGalvanLopez.html MarcSchoenauer.html
  28. 22 Gao:2019:GECCO Efficient personalized community detection via genetic evolution ZhengGao.html ChunGuo.html XiaozhongLiu.html
  29. 1 gilbert:1999: Genetic Programming as an Analytical Tool for Metabolome Data RichardJGilbert.html HelenEJohnson.html MichaelKWinson.html JemJRowland.html RoystonGoodacre.html AileenRSmith.html MichaelAHall.html DouglasBKell.html
  30. 11 icga93:gruau Genetic Synthesis of Modular Neural Networks FredericGruau.html
  31. 1 Hasegawa:2006:ASPGP Estimation of Bayesian network for program generation YoshihikoHasegawa.html HitoshiIba.html
  32. 25 Helmuth:2019:GECCO Lexicase Selection of Specialists ThomasHelmuth.html EdwardRPantridge.html LeeSpector.html
  33. 18 Hemberg:2019:GECCO On domain knowledge and novelty to improve program synthesis performance with grammatical evolution ErikHemberg.html JonathanKelly.html Una-MayO'Reilly.html
  34. 1 hemberg:2001:masters GENR8 - A Design Tool for Surface Generation MartinHemberg.html
  35. 1 Hao:2006:ASPGP Developmental evaluation in genetic programming: A TAG-based framework Tuan-HaoHoang.html DarylEssam.html RI_Bob_McKay.html NguyenXuanHoai.html
  36. 11 iba:1999:BBBGP Bagging, Boosting, and Bloating in Genetic Programming HitoshiIba.html
  37. 2 Icke:thesis Multi-objective genetic programming for data visualization and classification IlknurIcke.html
  38. 1 Jang:2006:ASPGP Automated construction of diagnosis rules from DNA samples Ha-YoungJang.html Byoung-TakZhang.html
  39. 21 Jundt:2019:GECCO Comparing and combining lexicase selection and novelty search LiaJundt.html ThomasHelmuth.html
  40. 1 Kannappan:2014:GPTP Analyzing a Decade of Human-Competitive (``HUMIE'') Winners: What Can We Learn? KarthikKannappan.html LeeSpector.html MosheSipper.html ThomasHelmuth.html WilliamLaCava.html JakeWisdom.html OmriBernstein.html
  41. 1 Kieffer:ieeeTEC Tackling Large-Scale and Combinatorial Bi-level Problems with a Genetic Programming Hyper-heuristic EmmanuelKieffer.html GregoireDanoy.html MatthiasRBrust.html PascalBouvry.html AnassNagih.html
  42. 3 koza:1995:ea Evolving the Architecture of a Multi-Part Program in Genetic Programming Using Architecture-Altering Operations JohnKoza.html
  43. 29 koza:1996:eiGP Evolution of iteration in genetic programming JohnKoza.html DavidAndre.html
  44. 8 krauss:2020:EuroGP Automatically Evolving Lookup Tables for Function Approximation OliverKrauss.html WilliamBLangdon.html
  45. 6 Krawiec:2014:PPSN Improving Genetic Programming with Behavioral Consistency Measure KrzysztofKrawiec.html ArmandoSolar-Lezama.html
  46. 1 LACAVA:2019:SEC Multidimensional genetic programming for multiclass classification WilliamLaCava.html SaraSilva.html KouroshDanai.html LeeSpector.html LeonardoVanneschi.html JasonHMoore.html
  47. 17 LaCava:2019:GECCO Semantic variation operators for multidimensional genetic programming WilliamLaCava.html JasonHMoore.html
  48. 1 langdon:1999:egplb Late-Breaking Papers of EuroGP-99 WilliamBLangdon.html RiccardoPoli.html PeterNordin.html TerenceCFogarty.html
  49. 3 langdon:2001:wsc6 Genetic Programming for Combining Neural Networks for Drug Discovery WilliamBLangdon.html SJBarrett.html BernardBuxton.html
  50. 3 langdon:2010:jss Efficient multi-objective higher order mutation testing with genetic programming WilliamBLangdon.html MarkHarman.html YueJia.html
  51. 1 langdon:2019:bddGI4mlss Big Data Driven Genetic Improvement for Maintenance of Legacy Software Systems WilliamBLangdon.html
  52. 3 lanzi:1999:ERCCPIFMCS Extending the Representation of Classifier Conditions Part II: From Messy Coding to S-Expressions PierLucaLanzi.html AlessandroPerrucci.html
  53. 20 Larcher:2019:GECCO Auto-CVE: A coevolutionary approach to evolve ensembles in Automated Machine Learning CelioHenriqueNogueiraLarcherJunior.html HelioJCBarbosa.html
  54. 4 cacm2019_program_repair Automated Program Repair ClaireLeGoues.html MichaelPradel.html AbhikRoychoudhury.html
  55. 4 loizides:2001:wsc6 Measuring Facial Emotional Expressions Using Genetic Programming AndreasLoizides.html MelSlater.html WilliamBLangdon.html
  56. 3 Lourenco:2019:GECCO Structured Grammatical Evolution for Glucose Prediction in Diabetic Patients NunoLourenco.html JManuelColmenar.html JoseIgnacioHidalgoPerez.html OscarGarnica.html
  57. 26 Lynch:2019:GECCO Evolutionary Learning of Link Allocation Algorithms for 5G Heterogeneous Wireless Communications Networks DavidLynch.html TakfarinasSaber.html StepanKucera.html HolgerClaussen.html MichaelO'Neill.html
  58. 1 Mazyad:2018:GECCOcomp Generating term weighting schemes through genetic programming AhmadMazyad.html FabienTeytaud.html CyrilFonlupt.html
  59. 1 Nguyen:2006:ASPGP A Brief Overview of Population Diversity Measures in Genetic Programming NguyenThiHien.html NguyenXuanHoai.html
  60. 26 Nguyen:2019:GECCOa Improvement of Code Fragment Fitness to Guide Feature Construction in XCS TrungBaoNguyen.html WillNBrowne.html MengjieZhang.html
  61. 23 Oliveira:2019:GECCO Footprints of fitness functions in search-based software testing CarlosOliveira.html AldeidaAleti.html Yuan-FangLi.html MohamedAbdelrazek.html
  62. 2 OReilly:thesis An Analysis of Genetic Programming Una-MayO'Reilly.html
  63. 15 Paic-Antunovic:2012:MIPRO Evolution of automatic robot control with genetic programming LovroPaic-Antunovic.html DomagojJakobovic.html
  64. 1 Paulikas:thesis Adaptive Migration for the Distributed Genetic Programming GiedriusPaulikas.html
  65. 1 journals/jcp/PengLYH14 Parameter Estimation Algorithm for Storm Intensity Model with Single Return Period Based on Multicellular Gene Expression Programming Yu-zhongPeng.html JieLi.html Chang-anYuan.html BaoqinHu.html
  66. 14 phd/hal/SantosPeretta15 Evolution of differential models for concrete complex systems through genetic programming IgorSantosPeretta.html
  67. 1 Petke:gisurvey Genetic Improvement of Software: a Comprehensive Survey JustynaPetke.html SaemundurOskarHaraldsson.html MarkHarman.html WilliamBLangdon.html DavidRobertWhite.html JohnRWoodward.html
  68. 5 Petke:2017:ieeeTSE Specialising Software for Different Downstream Applications Using Genetic Improvement and Code Transplantation JustynaPetke.html MarkHarman.html WilliamBLangdon.html WestleyWeimer.html
  69. 1 Petke:2019:GI7 A Survey of Genetic Improvement Search Spaces JustynaPetke.html BradAlexander.html EarlBarr.html AlexanderEIBrownlee.html MarkusWagner.html DavidRobertWhite.html
  70. 7 poli04:_tinyg TinyGP RiccardoPoli.html
  71. 9 poli:2006:IJCIR The Building Block Basis for Genetic Programming and Variable-length Genetic Algorithms RiccardoPoli.html ChristopherRStephens.html
  72. 4 poli08:fieldguide A field guide to genetic programming RiccardoPoli.html WilliamBLangdon.html NicholasFreitagMcPhee.html
  73. 1 racine:1999:pcGPcs Parametric Coding vs Genetic Programming: A Case Study AlainRacine.html SanaBenHamida.html MarcSchoenauer.html
  74. 35 adil-raja-thesis-2008 Real-time Non-intrusive Speech Quality Estimation of Voice over Internet Protocol using Genetic Programming AdilRaja.html
  75. 1 series/sci/RamponeFL13 Assessing Consumer Credit Applications by a Genetic Programming Approach SalvatoreRampone.html FrancoFrattolillo.html FedericaLandolfi.html
  76. 18 Roman:2019:GECCO Sentiment analysis with genetically evolved Gaussian kernels IbaiRoman.html AlexanderMendiburu.html RobertoSantana.html JoseALozano.html
  77. 3 Rosca:1995:GPexpdf Genetic Programming Exploratory Power and the Discovery of Functions JustinianRosca.html
  78. 4 rossi:2001:wsc6 An Application of Genetic Programming to Electronic Design Automation: from Frequency Specifications to VHDL Code RobertoRossi.html ValentinoLiberali.html AndreaGBTettamanzi.html
  79. 18 ryan:1995:paragen Automatic conversion of programs from serial to parallel using Genetic Programming - The Paragen System PaulJWalsh.html ConorRyan.html
  80. 2 Ryan:1997:fuzzy Paragen II: Evolving Parallel Transformation Rules ConorRyan.html PaulJWalsh.html
  81. 23 ryan:1997:eppp The Evolution of Provable Parallel Programs ConorRyan.html PaulJWalsh.html
  82. 1 Savage:2012:cACM Automating Scientific Discovery NeilSavage.html
  83. 1 schulte10:_autom_progr_repair_evolut_assem_code Automated Program Repair through the Evolution of Assembly Code EricSchulte.html StephanieForrest.html WestleyWeimer.html
  84. 23 Sobania:2019:GECCO Teaching GP to program like a human software developer: using perplexity pressure to guide program synthesis approaches DominikSobania.html FranzRothlauf.html
  85. 24 Sohn:2019:GECCO Why Train-and-Select When You Can Use Them All?: Ensemble Model for Fault Localisation JeongjuSohn.html ShinYoo.html
  86. 28 Stork:2019:GECCO Surrogate Models for Enhancing the Efficiency of Neuroevolution in Reinforcement Learning JoergStork.html MartinZaefferer.html ThomasBartz-Beielstein.html GuszEiben.html
  87. 3 AG4579 Near-Earth space plasma modelling and forecasting HalStrangeways.html IvanKutiev.html LjiljanaCander.html StamatisKouris.html VadimGherm.html DiegoMarin.html BenitoDeLaMorena.html SEleriPryse.html LoredanaPerrone.html MarcoPietrella.html StanimirStankov.html LukaszTomasik.html ErsinTulunay.html YurdanurTulunay.html NikolayZernov.html BrunoZolesi.html
  88. 2 Suganuma:2019:EC Evolution of Deep Convolutional Neural Networks Using Cartesian Genetic Programming MasanoriSuganuma.html MasayukiKobayashi.html ShinichiShirakawa.html TomoharuNagao.html
  89. 26 Sulyok:2019:GECCO On the impact of domain-specific knowledge in evolutionary music composition CsabaSulyok.html ChristopherHarte.html ZalanBodo.html
  90. 1 takagi:2001:ieee Interactive Evolutionary Computation: Fusion of the Capabilities of EC Optimization and Human Evaluation HideyukiTakagi.html
  91. 1 Tan:2006:ASPGP A logic program semantics-based framework for immune anomaly detection ChengyuTan.html HongbinDong.html YiwenLiang.html
  92. 1 To:2006:ASPGP A combination of Genetic Programming and Cluster Analysis for Single Class CuongChieuTo.html JiriVohradsky.html
  93. 1 Tohumoglu:2007:CMPB Formulation of ELF magnetic fields' effects on malondialdehyde level and myeloperoxidase activity in kidney using genetic programming GulayTohumoglu.html AyseGCanseven.html AbdulkadirCevik.html NesrinSeyhan.html
  94. 1 Vanyi:thesis Derivation Tree Based Genetic Programming RobertVanyi.html
  95. 24 Virgolin:2019:GECCO Linear scaling with and within semantic backpropagation-based genetic programming for symbolic regression MarcoVirgolin.html TanjaAlderliesten.html PeterANBosman.html
  96. 1 Vu:2006:ASPGP A memetic evolutionary algorithms ManhXuanVu.html ThanhThuyNguyen.html
  97. 1 Wagner:2017:GECCOcomp GECCO '17: Proceedings of the Genetic and Evolutionary Computation Conference Companion MarkusWagner.html JuliaHandl.html RyanJUrbanowicz.html KuberKarthik.html DaniloVasconcellosVargas.html SilvinoFernandezAlzueta.html PabloValledorPellicer.html ThomasStuetzle.html JohnRWoodward.html DanielRTauritz.html ManuelLopez-Ibanez.html AnneAuger.html DimoBrockhoff.html NikolausHansen.html TeaTusar.html DejanTusar.html StephaneDoncieux.html JoshuaEAuerbach.html RichardDuro.html HarolddeVladar.html JoseSantos.html AmardaShehu.html MostafaMHashimEllabaan.html StefanWagner.html MichaelAffenzeller.html FrankNeumann.html MarkusWagner.html PaulKaufmann.html OliverKramer.html PGMBaltus.html GiovanniIacca.html MNAndraud.html VanessaVolz.html BorisNaujoks.html FrankMoore.html GunesKayacik.html NurZincir-Heywood.html AnnaEsparcia-Alcazar.html WestleyWeimer.html JustynaPetke.html DavidRobertWhite.html WilliamBLangdon.html NadarajenVeerapen.html FabioDaolio.html ArnaudLiefooghe.html SebastienVerel.html GabrielaOchoa.html GiovanniSquillero.html AlbertoTonda.html StephenLSmith.html StefanoCagnoni.html RobertMPatton.html JohnAWMcCall.html DirkThierens.html WilliamLaCava.html RandalOlson.html PatrykOrzechowski.html ErnestoTarantino.html IvanoeDeFalco.html AntonioDellaCioppa.html UmbertoScafuri.html NicolasBredeche.html EvertHaasdijk.html AbrahamPrieto.html HeikoHamann.html JaredMoore.html AnthonyClark.html DavidWalker.html RichardEverson.html JonathanEFieldsend.html BogdanFilipic.html AlmaRahat.html HandingWang.html YaochuJin.html
  98. 26 Wang:2019:GECCOb Novel Ensemble Genetic Programming Hyper-Heuristics for Uncertain Capacitated Arc Routing Problem ShaolinWang.html YiMei.html MengjieZhang.html
  99. 1 Whigham:2006:ASPGP GP and Bloat: Absorbing boundaries and spatial structures PeterAlexanderWhigham.html GrantDick.html
  100. 2 wong:1995:ilpGP An adaptive Inductive Logic Programming system using Genetic Programming ManLeungWong.html Kwong-SakLeung.html
  101. 1 Yasuda:2006:ASPGP Using genetic programming to improve the performance of wireless LAN access point configuration YutaYasuda.html YujiSato.html
  102. 27 Yuan:2019:GECCO A Hybrid Evolutionary System for Automatic Software Repair YuanYuan.html WolfgangBanzhaf.html
  103. 23 Zhang:2019:GECCO A Two-stage Genetic Programming Hyper-heuristic Approach with Feature Selection for Dynamic Flexible Job Shop Scheduling FangfangZhang.html YiMei.html MengjieZhang.html

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