Changes to Genetic Programing Bibliography since 2014/08/08

New and modified entries

New

  1. Ahmed:2014:GECCOa Multiple feature construction for effective biomarker identification and classification using genetic programming SohaAhmed.html MengjieZhang.html LifengPeng.html BingXue.html
  2. Ahmed:2014:GECCOcomp Prediction of detectable peptides in MS data using genetic programming SohaAhmed.html MengjieZhang.html LifengPeng.html
  3. Arnaldo:2014:GECCO Multiple regression genetic programming IgnacioArnaldoLucas.html KrzysztofKrawiec.html Una-MayO'Reilly.html
  4. Arnold:2014:GECCOcomp GECCO Comp '14: Proceedings of the 2014 conference companion on Genetic and evolutionary computation companion DirkVArnold.html MengjieZhang.html RyanJUrbanowicz.html MuhammadIqbal.html KamranShafi.html ForrestStonedahl.html WilliamMichaelRand.html TeaTusar.html BorisNaujoks.html DavidWalker.html RichardEverson.html JonathanFieldsend.html StefanWagner.html MichaelAffenzeller.html ZhunFan.html YaochuJin.html HodLipson.html ErikGoodman.html Alexandru-AdrianTantar.html EmiliaTantar.html PeterANBosman.html KentMcClymont.html KevinSim.html GabrielaOchoa.html EdKeedwell.html AnnaEsparcia-Alcazar.html FrankWilliamMoore.html JaumeBacardit.html IgnacioArnaldoLucas.html KalyanVeeramachaneni.html Una-MayO'Reilly.html StephenLSmith.html StefanoCagnoni.html RobertMPatton.html StevenMGustafson.html Ekaterina_Katya_Vladislavleva.html JohnRWoodward.html JerrySwan.html EarlBarr.html KrzysztofKrawiec.html ChrisSimons.html JohnAClark.html DirkSudholt.html AnnaEsparcia-Alcazar.html AnikoEkart.html CarolaDoerr.html AnneAuger.html
  5. Azad:2014:GECCOcomp Efficient interleaved sampling of training data in genetic programming RMuhammadAtifAzad.html DavidMedernach.html ConorRyan.html
  6. babic:2014:etv Using of genetic programming in engineering MatejBabic.html PeterKokol.html IgorBelic.html PeterPanjan.html MihaKovacic.html JozeBalic.html
  7. baradavka03 Assembling Strategies in Extrinsic Evolvable Hardware with Bidirectional Incremental Evolution IgorBaradavka.html TatianaKalganova.html
  8. Barresi:2014:GECCOcomp Evolved nonlinear predictor functions for lossless image compression KevinMBarresi.html
  9. Basgalupp:2014:GECCO A grammatical evolution based hyper-heuristic for the automatic design of split criteria MarcioPortoBasgalupp.html RodrigoCBarros.html TiagoBarabasz.html
  10. Bhardwaj:2014:GECCOcomp Classification of EEG signals using a novel genetic programming approach ArpitBhardwaj.html ArunaTiwari.html MVishaalVarma.html MRameshKrishna.html
  11. oai:CiteSeerPSU:397549 Schemas and Genetic Programming AndreasBirk.html WolfgangJPaul.html
  12. Blair:2014:GECCOcomp Incremental evolution of HERCL programs for robust control AlanBlair.html
  13. bojarczuk:2001:idamap Data mining with constrained-syntax genetic programming: applications to medical data sets CeliaCristinaBojarczuk.html HeitorSilverioLopes.html AlexAlvesFreitas.html
  14. Brookhouse:2014:GECCOcomp Working with OpenCL to speed up a genetic programming financial forecasting algorithm: initial results JamesBrookhouse.html FernandoEstebanBarrilOtero.html MichaelKampouridis.html
  15. Burke2013 Hyper-heuristics: a survey of the state of the art EdmundBurke.html MichelGendreau.html MatthewRHyde.html GrahamKendall.html GabrielaOchoa.html EnderOzcan.html RongQu.html
  16. Cano:2014:GECCO GPU-parallel subtree interpreter for genetic programming AlbertoCanoRojas.html SebastianVentura.html
  17. Chennupati:2014:GECCOcomp Predict the success or failure of an evolutionary algorithm run GopinathChennupati.html ConorRyan.html RMuhammadAtifAzad.html
  18. Chennupati:2014:GECCOcompa Multi-core GE: automatic evolution of CPU based multi-core parallel programs GopinathChennupati.html RMuhammadAtifAzad.html ConorRyan.html
  19. Chennupati:2014:GECCOcompb Predict the performance of GE with an ACO based machine learning algorithm GopinathChennupati.html RMuhammadAtifAzad.html ConorRyan.html
  20. Cirillo:2014:GECCOcomp A scalable symbolic expression tree interpreter for the heuristiclab optimization framework SimoneCirillo.html StefanLloyd.html
  21. Cohen:2014:GECCOcomp CityBreeder: city design with evolutionary computation AdamCohen.html TonyWhite.html
  22. daSilvaPraxedes:2014:GECCO Lithology discrimination using seismic elastic attributes: a genetic fuzzy classifier approach EricdaSilvaPraxedes.html AdrianoSoaresKoshiyama.html ElitaSelmaraAbreu.html DouglasMotaDias.html MarleyMariaBernardesRebuzziVellasco.html MarcoAurelioCavalcantiPacheco.html
  23. DeMelo:2014:GECCO Kaizen programming ViniciusVelosodeMelo.html
  24. Fitzgerald:2013:mendel A Hybrid Approach to the Problem of Class Imbalance JeannieFitzgerald.html ConorRyan.html
  25. Fitzgerald:2014:cicsyn Selection Bias and Generalisation Error in Genetic Programming JeannieFitzgerald.html ConorRyan.html
  26. Fitzgerald:2014:GECCO On size, complexity and generalisation error in GP JeannieFitzgerald.html ConorRyan.html
  27. jmfitz-thesis Bias and Variance Reduction Strategies for Improving Generalisation Performance of Genetic Programming on Binary Classification Tasks JeannieFitzgerald.html
  28. Garcia-Limon:2014:GECCO Simultaneous generation of prototypes and features through genetic programming MauricioGarcia-Limon.html HugoJairEscalante.html EduardoFMorales.html AliciaMorales-Reyes.html
  29. Garcia:2014:GECCOcomp Towards the automated generation of term-weighting schemes for text categorization MauricioGarcia-Limon.html HugoJairEscalante.html ManuelMontes.html AliciaMorales.html EduardoFMorales.html
  30. Gaudesi:2014:GECCOcomp Universal information distance for genetic programming MarcoGaudesi.html GiovanniSquillero.html AlbertoTonda.html
  31. Gholami:2014:GECCO Passive solar building design using genetic programming MohammadMOGholami.html BrianJRoss.html
  32. Goings:2014:GECCOcomp The effect of communication on the evolution of cooperative behavior in a multi-agent system SherriGoings.html EmilyPMJohnston.html NaozumiHiranuma.html
  33. Haddadi:2014:GECCOcomp On botnet behaviour analysis using GP and C4.5 FaribaHaddadi.html DylanRunkel.html NurZincir-Heywood.html MalcolmHeywood.html
  34. Harada:2014:GECCO Asynchronously evolving solutions with excessively different evaluation time by reference-based evaluation TomohiroHarada.html KeikiTakadama.html
  35. Helmuth:2014:GECCO Word count as a traditional programming benchmark problem for genetic programming ThomasHelmuth.html LeeSpector.html
  36. Hidalgo:2014:GECCOcomp Clarke and parkes error grid analysis of diabetic glucose models obtained with evolutionary computation JoseIgnacioHidalgoPerez.html JManuelColmenar.html JoseLRisco-Martin.html EstherMaqueda.html MartaBotella.html JoseAntonioRubio.html AlfredoCuesta-Infante.html OscarGarnica.html JLanchares.html
  37. Holzinger:Thesis Development, Optimization, and Application of a Meta-Dimensional Analysis Pipeline Using in Silico and Natural Data Sets EmilyRoseHolzinger.html
  38. Hrbacek:2014:GECCO Towards highly optimized cartesian genetic programming: from sequential via SIMD and thread to massive parallel implementation RadekHrbacek.html LukasSekanina.html
  39. Hunt:2014:GECCO Evolving "less-myopic" scheduling rules for dynamic job shop scheduling with genetic programming RachelHunt.html MarkJohnston.html MengjieZhang.html
  40. Igel:2014:GECCO GECCO '14: Proceedings of the 2014 conference on Genetic and evolutionary computation ChristianIgel.html DirkVArnold.html ChristianGagne.html ElenaPopovici.html AnneAuger.html JaumeBacardit.html DimoBrockhoff.html StefanoCagnoni.html KalyanmoyDeb.html BenjaminDoerr.html JamesAFoster.html TobiasGlasmachers.html EmmaHart.html MalcolmHeywood.html HitoshiIba.html ChristianJacob.html ThomasJansen.html YaochuJin.html MarouaneKessentini.html JoshuaDKnowles.html WilliamBLangdon.html PedroLarranaga.html SeanLuke.html GabrielLuque.html JohnAWMcCall.html MarcoAMontesdeOca.html AlisonAMotsinger.html Yew-SoonOng.html MichaelEPalmer.html KonstantinosEParsopoulos.html GuntherRRaidl.html SebastianRisi.html GuentherRuhe.html TomSchaul.html ThomasSchmickl.html BernhardSendhoff.html KennethOStanley.html ThomasStuetzle.html DirkThierens.html JulianTogelius.html CarstenWitt.html ChristineZarges.html
  41. Johnson:2014:SMGPwork Semantic Methods in Genetic Programming ColinGJohnson.html KrzysztofKrawiec.html AlbertoMoraglio.html MichaelO'Neill.html
  42. Kamath:2014:GECCO SAX-EFG: an evolutionary feature generation framework for time series classification UdayKamath.html JessicaLin.html KennethDeJong.html
  43. Karim:2014:GECCOcomp On improving grammatical evolution performance in symbolic regression with attribute grammar MuhammadRezaulKarim.html ConorRyan.html
  44. Katayama:2004:PRICAI Power of Brute-Force Search in Strongly-Typed Inductive Functional Programming Automation SusumuKatayama.html
  45. Kifetew:2014:ICST Reproducing Field Failures for Programs with Complex Grammar-Based Input FitsumMesheshaKifetew.html WeiJin.html RobertoTiella.html AlessandroOrso.html PaoloTonella.html
  46. Kommenda:2014:GECCOcomp Genetic programming with data migration for symbolic regression MichaelKommenda.html MichaelAffenzeller.html BogdanBurlacu.html GabrielKronberger.html StephanMWinkler.html
  47. Koohestani:2014:COA Addressing the envelope reduction of sparse matrices using a genetic programming system BehroozKoohestani.html RiccardoPoli.html
  48. Krawiec:2014:GECCO Behavioral programming: a broader and more detailed take on semantic GP KrzysztofKrawiec.html Una-MayO'Reilly.html
  49. Kren:2014:GECCO Utilization of reductions and abstraction elimination in typed genetic programming TomaKren.html RomanNeruda.html
  50. LaCava:2014:GECCOcomp Evolving differential equations with developmental linear genetic programming and epigenetic hill climbing WilliamLaCava.html LeeSpector.html KouroshDanai.html MatthewALackner.html
  51. langdon:2014:synasc Genetic Improvement of Programs WilliamBLangdon.html
  52. Langosz:2014:GECCOcomp Introducing particle swarm optimization into a genetic algorithm to evolve robot controllers MalteLangosz.html KaiAlexandervonSzadkowski.html FrankKirchner.html
  53. Leitner:2013:BICA Learning visual object detection and localisation using icVision JuergenLeitner.html SimonHarding.html PramodChandrashekhariah.html MikhailFrank.html AlexanderForster.html JochenTriesch.html JurgenSchmidhuber.html
  54. Leroux:2014:GECCOcomp A genetic programming problem definition language code generator for the epochX framework ClarisLeroux.html FernandoEstebanBarrilOtero.html ColinGJohnson.html
  55. Lichocki:thesis Evolution of division of labor in artificial societies PawelLichocki.html
  56. Lones:2014:GECCOcomp Classification and characterisation of movement patterns during levodopa therapy for parkinson's disease MichaelALones.html JaneEAlty.html PhillipaDuggan-Carter.html AndrewJTurner.html DRStuartJamieson.html StephenLSmith.html
  57. Lones:2013:ieeeTEC Artificial Biochemical Networks: Evolving Dynamical Systems to Control Dynamical Systems MichaelALones.html LuisAFuente.html AlexanderPTurner.html LeoCaves.html SusanStepney.html StephenLSmith.html AndrewMTyrrell.html
  58. Machado:2014:GECCO Semantic aware methods for evolutionary art PenousalMachado.html JoaoCorreiaLopes.html
  59. Macret:2014:GECCO Automatic design of sound synthesizers as pure data patches using coevolutionary mixed-typed cartesian genetic programming MatthieuMacret.html PhilippePasquier.html
  60. Mambrini:2014:GECCOcomp A comparison between geometric semantic GP and cartesian GP for boolean functions learning AndreaMambrini.html LucaManzoni.html
  61. Marshall:2014:GECCOcomp Hyper-heuristics, grammatical evolution and the capacitated vehicle routing problem RichardJMarshall.html MarkJohnston.html MengjieZhang.html
  62. Martin:2014:GECCOcomp Multi-sample evolution of robust black-box search algorithms MatthewAMartin.html DanielRTauritz.html
  63. Martin:2014:GECCOcompa A problem configuration study of the robustness of a black-box search algorithm hyper-heuristic MatthewAMartin.html DanielRTauritz.html
  64. McDermott:2014:sigevolution Visualising Evolutionary Search Spaces JamesMcDermott.html
  65. Medland:2014:GECCOcomp Incorporating expert knowledge in object-oriented genetic programming MichaelMedland.html KyleRobertHarrison.html BeatriceOmbuki-Berman.html
  66. Menezes:2014:SR Symbolic regression of generative network models TelmoMenezes.html CamilleRoth.html
  67. Nel:mastersthesis A Memetic Genetic Program for Knowledge Discovery GertNel.html
  68. OReilly:2014:GECCOcomp Genetic programming: a tutorial introduction Una-MayO'Reilly.html
  69. Rothlauf:2014:GECCOcomp Representations for evolutionary algorithms FranzRothlauf.html
  70. Sotto:2014:GECCOcomp Comparison of linear genetic programming variants for symbolic regression LeoFrancosoDalPiccolSotto.html ViniciusVelosodeMelo.html
  71. Spector:2014:GECCOcomp Effective simplification of evolved push programs using a simple, stochastic hill-climber LeeSpector.html ThomasHelmuth.html
  72. Spector:2014:GECCOcompa Expressive genetic programming LeeSpector.html
  73. Strachan:2014:GECCOcomp Towards a quantum-inspired multi-gene linear genetic programming model GuilhermeCesarioStrachan.html AdrianoSoaresKoshiyama.html DouglasMotaDias.html MarleyMariaBernardesRebuzziVellasco.html MarcoAurelioCavalcantiPacheco.html
  74. Takamura:2014:GECCOcomp GPGPU-assisted denoising filter generation for video coding SeishiTakamura.html AtsushiShimizu.html
  75. Tao:2014:GECCOcomp A projection-based decomposition in EHW method for design of relatively large circuits YanyunTao.html YuzhenZhang.html LijunZhang.html ChaoGu.html
  76. Turner:2015:GPEM Introducing a cross platform open source Cartesian Genetic Programming library AndrewJamesTurner.html JulianFMiller.html
  77. Vahdat:2014:GECCOcomp On the application of GP to streaming data classification tasks with label budgets AliVahdat.html AaronAtwater.html AndrewRMcIntyre.html MalcolmHeywood.html
  78. werner03 Disease modeling using Evolved Discriminate Function JamesCunhaWerner.html TatianaKalganova.html
  79. Winkler:2014:GECCOcomp Data based prediction of cancer diagnoses using heterogeneous model ensembles: a case study for breast cancer, melanoma, and cancer in the respiratory system StephanMWinkler.html MichaelAffenzeller.html SusanneSchaller.html HerbertStekel.html
  80. Wong:2014:GECCO Grammar-based genetic programming with dependence learning and bayesian network classifier Pak-KanWong.html _Peter_Leung-YauLo.html ManLeungWong.html Kwong-SakLeung.html
  81. Woodward:2014:GECCOcomp Benchmarks that matter for genetic programming JohnRWoodward.html SimonMartin.html JerrySwan.html
  82. Woodward:2014:GECCOcompa Template method hyper-heuristics JohnRWoodward.html JerrySwan.html
  83. Zhan:2014:GECCOcomp A quantitative analysis of the simplification genetic operator HaoxiZhan.html

Modified

  1. 3 agapitos:2014:EuroGP Higher Order Functions for Kernel Regression AlexandrosAgapitos.html JamesMcDermott.html MichaelO'Neill.html AhmedKattan.html AnthonyBrabazon.html
  2. 3 Al-Afeef:mastersthesis Image Reconstructing in Electrical Capacitance Tomography of Manufacturing Processes Using Genetic Programming AlaaAl-Afeef.html
  3. 6 Al-Madi:2013:SSCI Improving genetic programming classification for binary and multiclass datasets NailahAl-Madi.html SimoneALudwig.html
  4. 1 Albinati:2014:SMGP A Study of Semantic Geometric Crossover Operators in Regression Problems JulioAlbinati.html GiseleLPappa.html FernandoEstebanBarrilOtero.html LuizOtavioVilasBoasOliveira.html
  5. 4 arnaldo:2014:EuroGP Flash: A GP-GPU Ensemble Learning System for Handling Large Datasets IgnacioArnaldoLucas.html KalyanVeeramachaneni.html Una-MayO'Reilly.html
  6. 3 azad:2014:EuroGP The Best Things Don't Always Come in Small Packages: Constant Creation in Grammatical Evolution RMuhammadAtifAzad.html ConorRyan.html
  7. 6 Azad:2014:EC A Simple Approach to Lifetime Learning in Genetic Programming based Symbolic Regression RMuhammadAtifAzad.html ConorRyan.html
  8. 2 Babovic:2007:NMHS Data-Driven Knowledge Discovery: Four Roads to Vegetation-Induced Roughness Formulae VladanBabovic.html
  9. 9 Bartoli:2014:GECCO Playing Regex Golf with Genetic Programming AlbertoBartoli.html AndreaDeLorenzo.html EricMedvet.html FabianoTarlao.html
  10. 9 basanta03 Evolving Cellular Automata to Grow Microstructures DavidBasanta.html MarkAMiodownik.html ElizabethAHolm.html
  11. 2 Binard:2008:gecco Genetic programming with polymorphic types and higher-order functions FranckJLBinard.html AmyFelty.html
  12. 1 Blum:2013:GECCOcomp GECCO '13 Companion: Proceeding of the fifteenth annual conference companion on Genetic and evolutionary computation conference companion ChristianBlum.html EnriqueAlba.html ThomasBartz-Beielstein.html DanieleLoiacono.html FranciscoLuna.html JoernMehnen.html GabrielaOchoa.html MikePreuss.html EmiliaTantar.html LeonardoVanneschi.html KentMcClymont.html EdKeedwell.html EmmaHart.html KevinSim.html StevenMGustafson.html Ekaterina_Katya_Vladislavleva.html AnneAuger.html BerndBischl.html DimoBrockhoff.html NikolausHansen.html OlafMersmann.html PetrPosik.html HeikeTrautmann.html MuhammadIqbal.html KamranShafi.html RyanJUrbanowicz.html StefanWagner.html MichaelAffenzeller.html DavidWalker.html RichardEverson.html JonathanFieldsend.html ForrestStonedahl.html WilliamMichaelRand.html StephenLSmith.html StefanoCagnoni.html RobertMPatton.html GiseleLPappa.html JohnRWoodward.html JerrySwan.html KrzysztofKrawiec.html Alexandru-AdrianTantar.html PeterANBosman.html MiguelVega-Rodriguez.html JoseMChaves-Gonzalez.html DavidLGonzalez-Alvarez.html SergioSantander-Jimenez.html LeeSpector.html MaartenKeijzer.html KennethLHolladay.html TeaTusar.html BorisNaujoks.html
  13. 12 bojarczuk03 An innovative application of a constrained-syntax genetic programming system to the problem of predicting survival of patients CeliaCristinaBojarczuk.html HeitorSilverioLopes.html AlexAlvesFreitas.html
  14. 11 brameier03 Neutral Variations Cause Bloat in Linear GP MarkusBrameier.html WolfgangBanzhaf.html
  15. 6 Briggs:2008:IJKBIES Functional Genetic Programming and Exhaustive Program Search with Combinator Expressions ForrestSBriggs.html MelissaEO'Neill.html
  16. 1 Brooks92RR9 Artificial Life and Real Robots RodneyABrooks.html
  17. 16 Byrne:2014:IS Optimising complex pylon structures with grammatical evolution JonathanByrne.html MichaelFenton.html ErikHemberg.html JamesMcDermott.html MichaelO'Neill.html
  18. 20 garcia03 Multi Niche Parallel GP with a Junk-code Migration Model SantiagoGarciaCarbajal.html JohnLevine.html FerminGonzalezMartinez.html
  19. 19 Castelli:2013:ESA Prediction of high performance concrete strength using Genetic Programming with geometric semantic genetic operators MauroCastelli.html LeonardoVanneschi.html SaraSilva.html
  20. 1 Castelli:2014:SMGP The Influence of Population Size on Geometric Semantic GP MauroCastelli.html LucaManzoni.html SaraSilva.html LeonardoVanneschi.html
  21. 1 Castelli:2014:SMGP2 Self-tuning Geometric Semantic GP MauroCastelli.html LucaManzoni.html SaraSilva.html LeonardoVanneschi.html
  22. 11 chan03 New Factorial Design Theoretic Crossover Operator for Parametrical Problem KitYanChan.html MehmetEminAydin.html TerenceCFogarty.html
  23. 14 chan03b Experimental design based multi-parent crossover operator KitYanChan.html TerenceCFogarty.html
  24. 16 chen03 Overfitting or Poor Learning: A Critique of Current Financial Applications of GP Shu-HengChen.html Tzu-WenKuo.html
  25. 2 Coia:mastersthesis Automatic Evolution of Conceptual Building Architectures CorradoCoia.html
  26. 1 Collet:2012:GECCOcomp Evolutionary algorithms and genetic programming on graphic processing units (GPU) PierreCollet.html SimonHarding.html
  27. 16 corno03 An Enhanced Framework for Microprocessor Test-Program Generation FulvioCorno.html GiovanniSquillero.html
  28. 1 Correia:2014:SMGP Semantic Operators for Evolutionary Art JoaoCorreiaLopes.html PenousalMachado.html
  29. 12 platel83 Maximum Homologous Crossover for Linear Genetic Programming MichaelDefoinPlatel.html ManuelClergue.html PhilippeCollard.html
  30. 1 deMenezes:Fwg:06 Forecasting with genetically programmed polynomial neural networks LilianMdeMenezes.html NikolayNikolaev.html
  31. 18 ebner03 Evolutionary Design of Objects Using Scene Graphs MarcEbner.html
  32. 1 Ebner:2010b Evolving Object Detectors with a GPU Accelerated Vision System MarcEbner.html
  33. 2 Faris2014 On Symbolic Regression for Optimizing Thermostable Lipase Production HossamFaris.html AlaaSheta.html RaniaHiary.html
  34. 9 fernandez03 The Effect of Plagues in Genetic Programming: A Study of Variable-Size Populations FranciscoFernandezdeVega.html LeonardoVanneschi.html MarcoTomassini.html
  35. 2 FernandezdeVega:pdci Parallel and Distributed Computational Intelligence FranciscoFernandezdeVega.html ErickCantu-Paz.html
  36. 11 folino03 Ensemble techniques for Parallel Genetic Programming based Classifiers GianluigiFolino.html ClaraPizzuti.html GiandomenicoSpezzano.html
  37. 1 Gandomi:2013:MASI.18 Expression Programming Techniques for Formulation of Structural Engineering Systems AHGandomi.html AHAlavi.html
  38. 1 oai:CiteSeerPSU:454347 Towards the Automatic Generation of Sound Synthesis Techniques: Preparatory Steps RicardoAGarcia.html
  39. 1 oai:CiteSeerPSU:569030 Automating The Design Of Sound Synthesis Techniques Using Evolutionary Methods RicardoAGarcia.html
  40. 1 oai:RePEc:sce:scecfa:489 Forecasting stock prices using Genetic Programming and Chance Discovery AlmaLiliaGarciaAlmanza.html EdwardPKTsang.html
  41. 1 Garcia-Sanchez:2008:gecco Automatic generation of XSLT stylesheets using evolutionary algorithms PabloGarcia-Sanchez.html JuanJulianMerelo.html JPSevilla.html JuanLJLaredo.html AntonioMMoraGarcia.html PedroACastilloValdivieso.html
  42. 6 Garg:2013:SSCI Selection of a robust experimental design for the effective modeling of nonlinear systems using Genetic Programming AkhilGarg.html KangTai.html
  43. 3 gaucel:2014:EuroGP Learning Dynamical Systems Using Standard Symbolic Regression SebastienGaucel.html MaartenKeijzer.html EvelyneLutton.html AlbertoTonda.html
  44. 3 graff:2014:EuroGP Semantic Crossover based on the Partial Derivative Error MarioGraffGuerrero.html ArielGraff-Guerrero.html JamieCerda.html
  45. 4 Handley:1994:DAGpcp On the use of a directed acyclic graph to represent a population of computer programs SimonGHandley.html
  46. 3 harada:2014:EuroGP Asynchronous Evolution by Reference-based Evaluation: Tertiary Parent Selection and its Archive TomohiroHarada.html KeikiTakadama.html
  47. 1 eurogp07:harding Fast genetic programming on GPUs SimonHarding.html WolfgangBanzhaf.html
  48. 2 Harman:2014:Babel Babel Pidgin: SBSE Can Grow and Graft Entirely New Functionality into a Real World System MarkHarman.html YueJia.html WilliamBLangdon.html
  49. 6 Harper:2014:GPEM Evolving Robocode tanks for Evo Robocode RobinHarper.html
  50. 13 hoai03 Tree Adjoining Grammars, Language Bias, and Genetic Programming NguyenXuanHoai.html RI_Bob_McKay.html HusseinAAbbass.html
  51. 1 Nguyen:2004:IISA Finding Trigonometric Identities with Tree Adjunct Grammar Guided Genetic Programming NguyenXuanHoai.html RI_Bob_McKay.html DarylEssam.html
  52. 3 ingalalli:2014:EuroGP A Multi-dimensional Genetic Programming Approach for Multi-class Classification Problems VijayIngalalli.html SaraSilva.html MauroCastelli.html LeonardoVanneschi.html
  53. 14 johnson03 Artificial Immune System Programming for Symbolic Regression ColinGJohnson.html
  54. 1 Johnson:2014:SMGP Information Theory, Fitness, and Sampling Semantics ColinGJohnson.html JohnRWoodward.html
  55. 1 Kamath:2012:cbb An Evolutionary Algorithm Approach for Feature Generation from Sequence Data and Its Application to DNA Splice Site Prediction UdayKamath.html JackCompton.html RezartaIslamaj-Dogan.html KennethDeJong.html AmardaShehu.html
  56. 3 kattan:2014:EuroGP Generalisation Enhancement via Input Space Transformation: A GP Approach AhmedKattan.html MichaelKampouridis.html AlexandrosAgapitos.html
  57. 10 keijzer03 Improving Symbolic Regression with Interval Arithmetic and Linear Scaling MaartenKeijzer.html
  58. 3 kelly:2014:EuroGP On Diversity, Teaming, and Hierarchical Policies: Observations from the Keepaway Soccer Task StephenKelly.html MalcolmHeywood.html
  59. 2 Khamehchi:2009:JAS Intelligent System for Continuous Gas Lift Operation and Design with Unlimited Gas Supply EKhamehchi.html FariborzRashidi.html HOmranpour.html SaeedShiryGhidary.html AmirEbrahimian.html HRasouli.html
  60. 6 Kifetew:2014:SSBSE Combining Stochastic Grammars and Genetic Programming for Coverage Testing at the System Level FitsumMesheshaKifetew.html RobertoTiella.html PaoloTonella.html
  61. 10 kochenderfer03 Evolving Hierarchical and Recursive Teleo-Reactive Programs through Genetic Programming MykelJKochenderfer.html
  62. 1 Kocsis:2014:SMGP Asymptotic Genetic Improvement Programming via Type Functors and Catamorphisms ZoltanKocsis.html JerrySwan.html
  63. 32 koza:book Genetic Programming: On the Programming of Computers by Means of Natural Selection JohnKoza.html
  64. 3 krawiec:2014:EuroGP Behavioral Search Drivers for Genetic Programing KrzysztofKrawiec.html Una-MayO'Reilly.html
  65. 18 kubalik03 Grammatical Evolution with Bidirectional Representation JiriKubalik.html JanKoutnik.html LeonJMRothkrantz.html
  66. 11 schweitzer03 Interactive GP for Data Retrieval in Medical Databases YannLandrin-Schweitzer.html PierreCollet.html EvelyneLutton.html
  67. 1 langdon:2001:elvis Evolving Hand-Eye Coordination for a Humanoid Robot with Machine Code Genetic Programming WilliamBLangdon.html PeterNordin.html
  68. 1 langdon:2010:TR-10-07 Evolving a CUDA Kernel from an nVidia Template WilliamBLangdon.html MarkHarman.html
  69. 1 langdon_2012_sigevolution Distilling GeneChips with Genetic Programming on the Emerald GPU supercomputer WilliamBLangdon.html
  70. 4 langdon:2014:EuroGP Genetically Improved CUDA C++ Software WilliamBLangdon.html MarkHarman.html
  71. 7 Langdon:2014:GECCO Improving 3D Medical Image Registration CUDA Software with Genetic Programming WilliamBLangdon.html MarcModat.html JustynaPetke.html MarkHarman.html
  72. 1 langdon:2014:sigevolution News of the GP Bibliography http://www.cs.bham.ac.uk/~wbl/biblio/ WilliamBLangdon.html
  73. 3 Lassabe-chessend_game_eurogp_2006 Chess Endgame Algorithm Generated by Genetic Programming NicolasLassabe.html StephaneSanchez.html HerveLuga.html YvesDuthen.html
  74. 1 oai:CiteSeerX.psu:10.1.1.297.4992 Towards spatial perception: Learning to locate objects from vision JuergenLeitner.html SimonHarding.html MikhailFrank.html AlexanderForster.html JurgenSchmidhuber.html
  75. 18 leung03 Parallel Programs are More Evolvable than Sequential Programs Kwong-SakLeung.html Kin-HongLee.html IvanSinManCheang.html
  76. 1 Linsbauer:2014:SSBSE Feature Model Synthesis with Genetic Programming LukasLinsbauer.html RobertoELopez-Herrejon.html AlexanderEgyed.html
  77. 5 Loiacono:2014:GPEMa Special issue on GECCO competitions DanieleLoiacono.html MosheSipper.html
  78. 5 Lones:2013:SSCI Evolving classifiers to inform clinical assessment of Parkinson's disease MichaelALones.html JaneEAlty.html StuartELacy.html DRStuartJamieson.html KatherineLPossin.html NorbertSchuff.html StephenLSmith.html
  79. 27 loveard03 Genetic Programming With Meta-Search: Searching For a Successful Population Within The Classification Domain ThomasLoveard.html
  80. 16 lucas03 Evolving Finite State Transducers: Some Initial Explorations SimonMLucas.html
  81. 17 maccallum03 Introducing a Perl Genetic Programming System: and Can Meta-evolution Solve the Bloat Problem? RobertMMacCallum.html
  82. 1 Mackin00 Unsupervised training of Multiobjective Agent Communication using Genetic Programming KennethJMackin.html EiichiroTazaki.html
  83. 1 Maitre:2010:EuroGP Fast Evaluation of GP Trees on GPGPU by Optimizing Hardware Scheduling OgierMaitre.html PierreCollet.html NicolasLachiche.html
  84. 1 Mambrini:2014:SMGP A framework for measuring the generalization ability of Geometric Semantic Genetic Programming (GSGP) for Black-Box Boolean Functions Learning AndreaMambrini.html YangYu2.html XinYao.html
  85. 3 mcdermott:2014:EuroGP Measuring Mutation Operators' Exploration-Exploitation Behaviour and Long-Term Biases JamesMcDermott.html
  86. 17 mehnen03 Evolutionary Optimized Mold Temperature Control Strategies using a Multi-Polyline Approach JornMehnen.html ThomasMichelitsch.html KlausWeinert.html
  87. 3 minarik:2014:EuroGP Exploring the Search Space of Hardware / Software Embedded Systems by Means of GP MilosMinarik.html LukasSekanina.html
  88. 10 monsieurs03 Reducing Population Size While Maintaining Diversity PatrickMonsieurs.html EddyFlerackers.html
  89. 12 moraglio:tio:gecco2004 Topological Interpretation of Crossover AlbertoMoraglio.html RiccardoPoli.html
  90. 3 Moraglio:2013:EC Geometric Differential Evolution for Combinatorial and Programs Spaces AlbertoMoraglio.html JulianTogelius.html SaraSilva.html
  91. 1 Moraglio:2014:SMGP Geometric Semantic Grammatical Evolution AlbertoMoraglio.html JamesMcDermott.html MichaelO'Neill.html
  92. 1 Moraglio:2014:SMGP2 An Efficient Implementation of GSGP using Higher-Order Functions and Memoization AlbertoMoraglio.html
  93. 1 Nelson2009345 Fitness functions in evolutionary robotics: A survey and analysis AndrewLNelson.html GregoryJBarlow.html LefterisDoitsidis.html
  94. 3 nguyen:2014:EuroGP Enhancing Branch-and-Bound Algorithms for Order Acceptance and Scheduling with Genetic Programming SuNguyen.html MengjieZhang.html MarkJohnston.html
  95. 14 nicolau03 How functional dependency adapts to salience hierarchy in the GAuGE system MiguelNicolau.html ConorRyan.html
  96. 4 Nicolau:2014:GP Proceedings of the 17th European Conference on Genetic Programming, EuroGP 2014 MiguelNicolau.html KrzysztofKrawiec.html MalcolmHeywood.html MauroCastelli.html PabloGarcia-Sanchez.html JuanJulianMerelo.html VictorMRivasSantos.html KevinSim.html
  97. 12 niehaus03 More on Computational Effort Statistics for Genetic Programming JensNiehaus.html WolfgangBanzhaf.html
  98. 13 oneill03 Analysis of a Digit Concatenation Approach to Constant Creation MichaelO'Neill.html IanDempsey.html AnthonyBrabazon.html ConorRyan.html
  99. 15 otero03 Genetic Programming for Attribute Construction in Data Mining FernandoEstebanBarrilOtero.html MoniqueMSSilva.html AlexAlvesFreitas.html JulioCNievola.html
  100. 12 paris03 Genetic Programming with Boosting for Ambiguities in Regression Problems GregoryParis.html DenisRobilliard.html CyrilFonlupt.html
  101. 1 Pawlak:2014:SMGP Guarantees of Progress for Geometric Semantic Genetic Programming TomaszPawlak.html KrzysztofKrawiec.html
  102. 3 Petke:2014:EuroGP Using Genetic Improvement and Code Transplants to Specialise a C++ Program to a Problem Class JustynaPetke.html MarkHarman.html WilliamBLangdon.html WestleyWeimer.html
  103. 1 Petke:2014:sigevolution EvoStar 2014 Event Report JustynaPetke.html
  104. 3 podgorelec:2000:fpbfcm Fighting Program Bloat with the Fractal Complexity Measure ViliPodgorelec.html PeterKokol.html
  105. 3 Podgornik:2011:MSF Analysis and Prediction of Residual Stresses in Nitrided Tool Steel BojanPodgornik.html VojtehLeskovsek.html MihaKovacic.html JosefVizintin.html
  106. 14 poli03 A Simple but Theoretically-motivated Method to Control Bloat in Genetic Programming RiccardoPoli.html
  107. 1 poli08:fieldguide A field guide to genetic programming RiccardoPoli.html WilliamBLangdon.html NicholasFreitagMcPhee.html
  108. 1 conf/caepia/PreciadoPM03 Genetic Programming for Automatic Generation of Image Processing Algorithms on the CNN Neuroprocessing Architecture VictorMPreciado.html MiguelAPreciado.html MiguelAngelJaramilloMoran.html
  109. 1 Qin:2013:CI Multiple-objective scheduling for interbay AMHS by using genetic-programming-based composite dispatching rules generator WeiQin.html JieZhang.html YinbinSun.html
  110. 5 Rawat:2013:SSCI Evolving Indigestible Codes: Fuzzing Interpreters with Genetic Programming SanjayRawat.html FabienDuchene.html RolandGroz.html Jean-LucRichier.html
  111. 1 oai:drum.umd.edu:1903/3957 Development of a Large-Scale Integrated Neurocognitive Architecture - Part 2: Design and Architecture JamesAReggia.html MTagamets.html JContreras-Vidal.html DJacobs.html SWeems.html WNaqvi.html RansomWinder.html TChabuk.html JinHyukJung.html ChangjiangYang.html
  112. 8 rodriguez-vazquez03 Divide and Conquer: Genetic Programming Based on Multiple Branches Encoding KatyaRodriguez-Vazquez.html CarlosOliver-Morales.html
  113. 3 ruberto:2014:EuroGP ESAGP -- A Semantic GP Framework Based on Alignment in the Error Space StefanoRuberto.html LeonardoVanneschi.html MauroCastelli.html SaraSilva.html
  114. 1 Ryan:2003:GP Genetic Programming, Proceedings of the 6th European Conference, EuroGP 2003 ConorRyan.html TerenceSoule.html MaartenKeijzer.html EdwardPKTsang.html RiccardoPoli.html ErnestoCosta.html
  115. 26 ryan03a Sensible Initialisation in Chorus ConorRyan.html RMuhammadAtifAzad.html
  116. 12 ryan03b An Analysis of Diversity of Constants of Genetic Programming ConorRyan.html MaartenKeijzer.html
  117. 3 ryan:2014:EuroGP Building a Stage 1 Computer Aided Detector for Breast Cancer using Genetic Programming ConorRyan.html KrzysztofKrawiec.html Una-MayO'Reilly.html JeannieFitzgerald.html DavidMedernach.html
  118. 6 Sanchez:2014:GPEM Gene regulated car driving: using a gene regulatory network to drive a virtual car StephaneSanchez.html SylvainCussat-Blanc.html
  119. 12 sapin03 Research of a cellular automaton simulating logic gates by evolutionary algorithms EmmanuelSapin.html OlivierBailleux.html Jean-JacquesChabrier.html
  120. 12 sekanina03 From Implementations to a General Concept of Evolvable Machines LukasSekanina.html
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  122. 13 Sim:2014:EC A Lifelong Learning Hyper-heuristic Method for Bin Packing KevinSim.html EmmaHart.html BenPaechter.html
  123. 1 Sipper:2014:sigevolution Lunch Isn't Free, But Cells Are: Evolving FreeCell Players MosheSipper.html AchiyaElyasaf.html
  124. 14 smith03 Feature Construction and Selection using Genetic Programming and a Genetic Algorithm MatthewGSmith.html LarryBull.html
  125. 9 soule03 Cooperative Evolution on the Intertwined Spirals Problem TerenceSoule.html
  126. 2 stephenson03 Genetic Programming Applied to Compiler Heuristic Optimization MarkStephenson.html Una-MayO'Reilly.html MartinCMartin.html SamanAmarasinghe.html
  127. 15 streeter03 The Root Causes of Code Growth in Genetic Programming MatthewJStreeter.html
  128. 1 Swan:2014:SMGP Semantically-meaningful Numeric Constants for Genetic Programming JerrySwan.html JohnHDrake.html KrzysztofKrawiec.html
  129. 1 swan:2014:SMGP2 Analysis of Semantic Building Blocks via Groebner Bases JerrySwan.html GeoffreyKNeumann.html KrzysztofKrawiec.html
  130. 3 trujillo:2014:EuroGP NEAT, There's No Bloat LeonardoTrujillo.html LuisMunozDelgado.html EnriqueNaredo.html YulianaMartinez.html
  131. 3 turner:2014:EuroGP Cartesian Genetic Programming: Why No Bloat? AndrewJamesTurner.html JulianFMiller.html
  132. 2 Vafaee:2008:ICMLA Adaptively Evolving Probabilities of Genetic Operators FatemehVafaee.html WeiminXiao.html PeterCNelson.html ChiZhou.html
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  134. 1 Vanneschi2011 A study of the neutrality of Boolean function landscapes in genetic programming LeonardoVanneschi.html YuriPirola.html GiancarloMauri.html MarcoTomassini.html PhilippeCollard.html SebastienVerel.html
  135. 4 vasicek:2014:EuroGP On Evolution of Multi-Category Pattern Classifiers Suitable for Embedded Systems ZdenekVasicek.html MichalBidlo.html
  136. 6 Walker:2013:SSCI Designing Function Configuration Decoders for the PAnDA architecture using Multi-objective Cartesian Genetic Programming JamesAlfredWalker.html MartinATrefzer.html AndrewMTyrrell.html
  137. 1 Wilson:2008:cec Linear Genetic Programming GPGPU on Microsoft's Xbox 360 GarnettCarlWilson.html WolfgangBanzhaf.html
  138. 1 Wilson:2008:sigevo WCCI 2008 Special Session: Computational Intelligence on Consumer Games and Graphics Hardware (CIGPU-2008) GarnettCarlWilson.html SimonHarding.html
  139. 15 woodward03 Modularity in Genetic Programming JohnRWoodward.html
  140. 13 woodward03b No Free Lunch, Program Induction and Combinatorial Problems JohnRWoodward.html JamesRNeil.html
  141. 9 ziegler03 Decreasing the Number of Evaluations in Evolutionary Algorithms by using a Meta-Model of the Fitness Function JensZiegler.html WolfgangBanzhaf.html
  142. 1 oai:eldorado:0x00070350 Evolution von Laufrobotersteuerungen mit Genetischer Programmierung JensZiegler.html

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