Changes to Genetic Programing Bibliography since 2018/07/23

New and modified entries


  1. 2453 New Genetic Programming Hypothesis Search Strategies for Improving the Interpretability in Medical Data Mining Applications MichaelAffenzeller.html CFischer.html GabrielKronberger.html StephanMWinkler.html StefanWagner.html
  2. 6339 Offspring Selection Genetic Algorithm Revisited: Improvements in Efficiency by Early Stopping Criteria in the Evaluation of Unsuccessful Individuals MichaelAffenzeller.html BogdanBurlacu.html StephanMWinkler.html MichaelKommenda.html GabrielKronberger.html StefanWagner.html
  3. Agapitos:2018:CMS Regularised Gradient Boosting for Financial Time-series Modelling AlexandrosAgapitos.html AnthonyBrabazon.html MichaelO'Neill.html
  4. ThunderStormGP Thunderstorms Prediction using Genetic Programming RubaAl-Jundi.html MaisYasen.html NailahAl-Madi.html
  5. Alekseeva:2018:Algorithms Evolving the Controller of Automated Steering of a Car in Slippery Road Conditions NataliaAlekseeva.html IvanTTanev.html KatsunoriShimohara.html
  6. Almeida:2018:ICAE Hybrid Evolvable Hardware for automatic generation of image filters MAAlmeida.html EmersonCarlosPedrino.html
  7. Alvarez-Diaz:2011:EM The institutional determinants of CO2 emissions: a computational modeling approach using Artificial Neural Networks and Genetic Programming MarcosAlvarez-Diaz.html GonzaloCaballeroMiguez.html MarioSolino.html
  8. Andrade2012CIARP Fusion of Local and Global Descriptors for Content-Based Image and Video Retrieval FelipeSPAndrade.html JurandyGAlmeidaJr.html HelioPedrini.html RicardodaSilvaTorres.html
  9. androvitsaneas_intelligent_2019 Intelligent Data Analysis in Electric Power Engineering Applications VasiliosPAndrovitsaneas.html KonstantinosBoulas.html GeorgiosDounias.html
  10. AraujoMF18 Discovering taxonomies in Wikipedia by means of grammatical evolution LourdesAraujo.html JuanMartinez-Romo.html AndresDuqueFernandez.html
  11. Bai_LingePhD Chemotaxis-based Spatial Self-Organization Algorithms LingeBai.html
  12. 3360 Fitness Landscape based Parameter Estimation for Robust Taboo Search AndreasBeham.html ErikPitzer.html MichaelAffenzeller.html
  13. Beham:2016:OKC:2908961.2931724 Optimization Knowledge Center: A Decision Support System for Heuristic Optimization AndreasBeham.html StefanWagner.html MichaelAffenzeller.html
  14. Borlikova:2017:GECCO Development of a Multi-model System to Accommodate Unknown Misclassification Costs in Prediction of Patient Recruitment in Multicentre Clinical Trials GilyanaBorlikova.html MichaelO'Neill.html LouisSmith.html MichaelPhillips.html
  15. 10.1007/978-3-319-55702-1_50 Alternative Fitness Functions in the Development of Models for Prediction of Patient Recruitment in Multicentre Clinical Trials GilyanaBorlikova.html MichaelPhillips.html LouisSmith.html MiguelNicolau.html MichaelO'Neill.html
  16. Boukhelifa:2018:GPEM Guest editorial: Special issue on genetic programming, evolutionary computation and visualization NadiaBoukhelifa.html EvelyneLutton.html
  17. boulas_ground_2016 Ground Resistance Estimation using Genetic Programming KonstantinosBoulas.html ValiliosPAndrovitsaneas.html IoannisFGonos.html GeorgiosDounias.html IoannisAStathopulos.html
  18. boulas_approximating_2017 Approximating Throughput of Small Production Lines Using Genetic Programming KonstantinosBoulas.html GeorgiosDounias.html ChrissoleonTPapadopoulos.html
  19. boulas_acquisition_2015 Acquisition of Accurate or Approximate Throughput Formulas for Serial Production Lines through Genetic Programming KonstantinosBoulas.html GeorgiosDounias.html ChrissoleonTPapadopoulos.html AthanasiosDTsakonas.html
  20. boulas_acquisition_2018 Acquisition of approximate throughput formulas for serial production lines with parallel machines using intelligent techniques KonstantinosBoulas.html AlexandrosTzanetos.html GeorgiosDounias.html
  21. Bousquet:2007:EA Fully Three-Dimensional Tomographic Evolutionary Reconstruction in Nuclear Medicine AurelieBousquet.html JeanLouchet.html Jean-MarieRocchisani.html
  22. Brownlee:2018:GECCOcomp Relating training instances to automatic design of algorithms for bin packing via features AlexanderEIBrownlee.html JohnRWoodward.html NadarajenVeerapen.html
  23. burlacu2018schema Schema Analysis in Tree-Based Genetic Programming BogdanBurlacu.html MichaelAffenzeller.html MichaelKommenda.html GabrielKronberger.html StephanMWinkler.html
  24. journals/mta/CalumbyTG14 Multimodal retrieval with relevance feedback based on genetic programming RodrigoTripodiCalumby.html RicardodaSilvaTorres.html MarcosAndreGoncalves.html
  25. Card:thesis Towards an Information Theoretic Framework for Evolutionary Learning StuCard.html
  26. Bin-Tzong_Chie:thesis Innovation in Economics: Agent-Based Computational Modelling Bin-TzongChie.html
  27. chitty2017faster Faster GPU-based genetic programming using a two-dimensional stack DarrenMChitty.html
  28. chitty:2018:ukci Exploiting Tournament Selection for Efficient Parallel Genetic Programming DarrenMChitty.html
  29. Chu:2018:IS Semantic tournament selection for genetic programming based on statistical analysis of error vectors ThiHoungChu.html QuangUyNguyen.html MichaelO'Neill.html
  30. Cilibrasi:2007:ieeeTKDE The Google Similarity Distance RudiCilibrasi.html PaulMBVitanyi.html
  31. Cohen:2014:GECCOcomp CityBreeder: city design with evolutionary computation AdamCohen.html TonyWhite.html
  32. Cohen:2015:ieeeTPAMI Normalized Compression Distance of Multisets with Applications AndrewRCohen.html PaulMBVitanyi.html
  33. Coia:mastersthesis Automatic Evolution of Conceptual Building Architectures CorradoCoia.html
  34. doi:10.1142/S012918319700028X Genetic Algorithms in a Distributed Computing Environment Using PVM GACronje.html Willi-HansSteeb.html
  35. DBLP:conf/ilp/dAmatoFE07 Induction of Optimal Semantic Semi-distances for Clausal Knowledge Bases Claudiad'Amato.html NicolaFanizzi.html FlorianaEsposito.html
  36. DanandehMehr:2016:uujfe On the Calibration of Multigene Genetic Programming to Simulate Low Flows in the Moselle River AliDanandehMehr.html MehmetCuneydDemirel.html
  37. DANANDEHMEHR2017397 A binary genetic programing model for teleconnection identification between global sea surface temperature and local maximum monthly rainfall events AliDanandehMehr.html VahidNourani.html BahrudinHrnjica.html AmirMolajou.html
  38. DanandehMehr:2018:ajees Month Ahead Rainfall Forecasting Using Gene Expression Programming AliDanandehMehr.html
  39. DanandehMehr2018 Season Algorithm-Multigene Genetic Programming: A New Approach for Rainfall-Runoff Modelling AliDanandehMehr.html VahidNourani.html
  40. DANANDEHMEHR2018669 An improved gene expression programming model for streamflow forecasting in intermittent streams AliDanandehMehr.html
  41. danglot:hal-01378523 Correctness attraction: a study of stability of software behavior under runtime perturbation BenjaminDanglot.html PhilippePreux.html BenoitBaudry.html MartinMonperrus.html
  42. deFranca:2018:IS A greedy search tree heuristic for symbolic regression FabricioOlivettideFranca.html
  43. Dehghanpour:jit Dynamic portfolio insurance strategy: a robust machine learning approach SiamakDehghanpour.html AkbarEsfahanipour.html
  44. deLyraRamos:2017:IEEE-APS NSGA-RF: Elitist non-dominated sorting genetic algorithm region-focused NierembergJPdeLyraRamos.html GlaucoFontgalland.html AlfredoGomesNeto.html SilvioErnestoBarbin.html
  45. deSouza:2018:CEC An Automatically Designed Recombination Heuristic for the Test-Assignment Problem MarcelodeSouza.html MarcusRitt.html
  46. DeStefano:2011:GECCOcomp Using Bayesian networks for selecting classifiers in GP ensembles ClaudioDeStefano.html GianluigiFolino.html FrancescoRFontanella.html AlessandraScottodiFreca.html
  47. DeStefano:2011:MCS A Bayesian Approach for Combining Ensembles of GP Classifiers ClaudioDeStefano.html FrancescoRFontanella.html GianluigiFolino.html AlessandraScottodiFreca.html
  48. Dolgano:2018:ai4health Towards a Decision Support System for Disorders of the Cardiovascular System, Diagnosing and Evaluation of the Treatment Efficiency AntonDolganov.html VladimirKublanov.html
  49. DUFEK2017139 Application of evolutionary computation on ensemble forecast of quantitative precipitation AmandaSabatiniDufek.html DouglasAAugusto.html PedroLeitedaSilvaDias.html HelioJCBarbosa.html
  50. Elver2016 Memory Consistency Directed Cache Coherence Protocols for Scalable Multiprocessors MarcoElver.html
  51. DBLP:conf/dlog/FanizzidE07 Induction of Optimal Semi-distances for Individuals based on Feature Sets NicolaFanizzi.html Claudiad'Amato.html FlorianaEsposito.html
  52. Fanizzi:2007:ICSC Evolutionary Conceptual Clustering of Semantically Annotated Resources NicolaFanizzi.html Claudiad'Amato.html FlorianaEsposito.html
  53. DBLP:conf/cikm/FanizzidE07 Randomized metric induction and evolutionary conceptual clustering for semantic knowledge bases NicolaFanizzi.html Claudiad'Amato.html FlorianaEsposito.html
  54. DBLP:conf/dexa/FanizzidE08 Evolutionary Clustering in Description Logics: Controlling Concept Formation and Drift in Ontologies NicolaFanizzi.html Claudiad'Amato.html FlorianaEsposito.html
  55. DBLP:journals/ijswis/FanizzidE08 Evolutionary Conceptual Clustering Based on Induced Pseudo-Metrics NicolaFanizzi.html Claudiad'Amato.html FlorianaEsposito.html
  56. Faria2010MIR Learning to rank for content-based image retrieval FabioAugustoFaria.html AdrianoVeloso.html HumbertoMossrideAlmeida.html EduardoValle.html RicardodaSilvaTorres.html MarcosAndreGoncalves.html WagnerMeira.html
  57. faris2016mgp MGP–CC: a hybrid multigene GP–Cuckoo search method for hot rolling manufacture process modelling HossamFaris.html AlaaSheta.html ErtanOznergiz.html
  58. Folino:2001:ieeeTEVC Parallel hybrid method for SAT that couples genetic algorithms and local search GianluigiFolino.html ClaraPizzuti.html GiandomenicoSpezzano.html
  59. Folino:2005:hbbaa Swarming Agents for Decentralized Clustering in Spatial Data GianluigiFolino.html AgostinoForestiero.html GiandomenicoSpezzano.html
  60. Folino:2010:fgcs Bio-Inspired Algorithms for Distributed Systems GianluigiFolino.html CarloMastroianni.html
  61. Folino2011 Special Issue: Bio-Inspired Optimization Techniques for High Performance Computing GianluigiFolino.html CarloMastroianni.html
  62. Folino2013 Preface: nature inspired solutions for high performance computing GianluigiFolino.html CarloMastroianni.html SanazMostaghim.html
  63. Folino:2016:EvoApps A Distributed Intrusion Detection Framework Based on Evolved Specialized Ensembles of Classifiers GianluigiFolino.html FrancescoSergioPisani.html PietroSabatino.html
  64. gaila_genetic_2012 Genetic Programming-based trading system: An application on the NASDAQ 100 stock index MariaGaila.html VassiliosVassiliadis.html NikolaosKondakis.html GeorgiosDounias.html
  65. Ganesan20112913 Optimization of nonlinear geological structure mapping using hybrid neuro-genetic techniques TimothyGanesan.html PandianVasant.html IElamvazuthi.html
  66. Ganesan:2013:Nostradamus Hypervolume-Driven Analytical Programming for Solar-Powered Irrigation System Optimization TimothyGanesan.html IElamvazuthi.html KuZilatiKuShaari.html PandianVasant.html
  67. Georgiev:2018:GECCOcompa Exploration of the effect of uncertainty in homogeneous and heterogeneous multi-agent societies with regard to their average characteristics MilenGeorgiev.html IvanTTanev.html KatsunoriShimohara.html
  68. AGeyer-Schulz1998 The Genetic Programming Cookbook AndreasGeyer-Schulz.html
  69. GHORBANI2018455 Chaos-based multigene genetic programming: A new hybrid strategy for river flow forecasting MohammadAliGhorbani.html RahmanKhatibi.html AliDanandehMehr.html HAsadi.html
  70. Godoi2013JCDL A Relevance Feedback Approach for the Author Name Disambiguation Problem ThiagoAnzolindeGodoi.html RicardodaSilvaTorres.html AriadneMariaBritoRizzoniCarvalho.html MarcosAndreGoncalves.html AndersonAFerreira.html WeiguoFan.html EdwardAFox.html
  71. Goel:2015:JCA Genetic programming based quantitative structure-retention relationships for the prediction of Kovats retention indices PurvaGoel.html SanketBapat.html RenuVyas.html AmrutaTambe.html SanjeevSTambe.html
  72. Goertzel:2006:CEC Identifying Complex Biological Interactions based on Categorical Gene Expression Data BenGoertzel.html CassioPennachin.html LuciodeSouzaCoelho.html MauricioMudado.html
  73. Gray:2018:GPEM Data exploration in evolutionary reconstruction of PET images CameronCGray.html ShathaFAl-Maliki.html FranckPVidal.html
  74. grouchy2014evolvable Evolvable mathematical models: A new artificial Intelligence paradigm PaulGrouchy.html
  75. grouchy2016evolutionary On The Evolutionary Origin of Symbolic Communication PaulGrouchy.html GabrieleMTD'Eleuterio.html MortenHChristiansen.html HodLipson.html
  76. Guermeur:2003:ICRODIC An evolutionary algorithm for camera calibration PhilippeGuermeur.html JeanLouchet.html
  77. ha:Memetic_Computing Finding attractive technical patterns in cryptocurrency markets SungjooHa.html Byung-RoMoon.html
  78. HM2016 Distributed RIMEP2: a Comparative Study between a Hierarchical Model and the Islands Model in the context of reversible circuits design FatimaZohraHadjam.html ClaudioMoraga.html
  79. DBLP:journals/ecs/HamoudaHR10 Genetic programming with Automatically Defined Function in Isolated Arabic Optical Character Recognition EslamHamouda.html TaherTawfiqAhmedHamza.html ElsayiedRadwan.html
  80. hardy05a Genetic Algorithms, Floating Point Numbers and Applications YorickHardy.html Willi-HansSteeb.html RuediStoop.html
  81. hardy10a Genetic Algorithms and Optimization Problems in Quantum Computing YorickHardy.html Willi-HansSteeb.html
  82. JMLR:v16:heaton15a Encog: Library of Interchangeable Machine Learning Models for Java and C\# JeffHeaton.html
  83. Hens2018 Front-running and market quality: An evolutionary perspective on high frequency trading ThorstenHens.html TerjeLensberg.html KlausReinerSchenk-Hoppe.html
  84. Hrnjica:book Optimized Genetic Programming Applications: Emerging Research and Opportunities BahrudinHrnjica.html AliDanandehMehr.html
  85. 3071 Probabilistic Electric Vehicle Charging Optimized With Genetic Algorithms and a Two- Stage Sampling Scheme StephanHutterer.html MichaelAffenzeller.html
  86. 3264 Evolutionary Computation Enabled Controlled Charging for E-Mobility Aggregators StephanHutterer.html MichaelAffenzeller.html FAuinger.html
  87. DBLP:conf/iccci/JedrzejowiczJ10 Cellular GEP-Induced Classifiers JoannaJedrzejowicz.html PiotrJedrzejowicz.html
  88. DBLP:series/sci/JedrzejowiczJ11 Constructing Ensemble Classifiers from GEP-Induced Expression Trees JoannaJedrzejowicz.html PiotrJedrzejowicz.html
  89. DBLP:journals/eswa/JedrzejowiczJ11 Experimental evaluation of two new GEP-based ensemble classifiers JoannaJedrzejowicz.html PiotrJedrzejowicz.html
  90. karampotsis_computational_2017 Computational Intelligence Techniques for Modelling the Critical Flashover Voltage of Insulators: From Accuracy to Comprehensibility EvangelosKarampotsis.html KonstantinosBoulas.html AlexandrosTzanetos.html VasiliosPAndrovitsaneas.html IoannisFGonos.html GeorgiosDounias.html IoannisAStathopulos.html
  91. Kaufmann:2010:evows Hand posture recognition using real-time artificial evolution BenoitKaufmann.html JeanLouchet.html EvelyneLutton.html
  92. 3737 Nonlinear Least Squares Optimization of Constants in Symbolic Regression MichaelKommenda.html MichaelAffenzeller.html GabrielKronberger.html StephanMWinkler.html
  93. 4593 Complexity Measures for Multi-Objective Symbolic Regression MichaelKommenda.html AndreasBeham.html MichaelAffenzeller.html GabrielKronberger.html
  94. 4777 Heat Treatment Process Parameter Estimation using Heuristic Optimization Algorithms MichaelKommenda.html BogdanBurlacu.html ReinhardHolecek.html AndreasGebeshuber.html MichaelAffenzeller.html
  95. 6344 Optimization Networks for Integrated Machine Learning MichaelKommenda.html JohannesKarder.html AndreasBeham.html BogdanBurlacu.html GabrielKronberger.html StefanWagner.html MichaelAffenzeller.html
  96. Krauss:2018:ManLang Towards a Framework for Stochastic Performance Optimizations in Compilers and Interpreters - An Architecture Overview OliverKrauss.html
  97. Krawiec:2018:IJCA Counterexample-Driven Genetic Programming: Stochastic Synthesis of Provably Correct Programs KrzysztofKrawiec.html IwoBladek.html JerrySwan.html JohnHDrake.html
  98. Kromer2017630 Guided genetic algorithm for the influence maximization problem PavelKromer.html JanaNowakova.html
  99. Kromer2018205 Optimal column subset selection for image classification by genetic algorithms PavelKromer.html JanPlatos.html JanaNowakova.html VaclavSnasel.html
  100. 3092 Genetic programming: Current trends and applications in computational finance GabrielKronberger.html MichaelAffenzeller.html StefanFink.html
  101. 6345 Measures for the Evaluation and Comparison of Graphical Model Structures GabrielKronberger.html BogdanBurlacu.html MichaelKommenda.html StephanMWinkler.html MichaelAffenzeller.html
  102. kronberger2018using Using robust generalized fuzzy modeling and enhanced symbolic regression to model tribological systems GabrielKronberger.html MichaelKommenda.html EdwinLughofer.html SusanneSaminger-Platz.html AndreasPromberger.html FalkNickel.html StephanMWinkler.html MichaelAffenzeller.html
  103. RN5388 Analysing psychological data by evolving computational models PeterCRLane.html PeterDSozou.html FernandGobet.html MarkAddis.html
  104. langdon:2018:sigevolution Human-Competitive Awards 2018 WilliamBLangdon.html
  105. DBLP:journals/corr/abs-1803-03453 The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities JoelLehman.html JeffClune.html DusanMisevic.html ChristophAdami.html JulieBeaulieu.html PeterJBentley.html SamuelBernard.html GuillaumeBeslon.html DavidMBryson.html PatrykChrabaszcz.html NickCheney.html AntoineCully.html StephaneDoncieux.html FredCDyer.html KaiOlavEllefsen.html RobertFeldt.html StephanFischer.html StephanieForrest.html AntoineFrenoy.html ChristianGagne.html LeniKLeGoff.html LauraMGrabowski.html BabakHodjat.html FrankHutter.html LaurentKeller.html CaroleKnibbe.html PeterKrcah.html RichardELenski.html HodLipson.html RobertMacCurdy.html CarlosMaestre.html RistoMiikkulainen.html SaraMitri.html DavidEMoriarty.html Jean-BaptisteMouret.html AnhQuangNguyen.html CharlesOfria.html MarcParizeau.html DavidPParsons.html RobertTPennock.html WilliamFPunch.html ThomasSRay.html MarcSchoenauer.html EricSchulte.html KarlSims.html KennethOStanley.html FrancoisTaddei.html DaneshTarapore.html SimonThibault.html WestleyWeimer.html RichardAWatson.html JasonYosinksi.html
  106. Li:2017:QMQM Approximate Quantum Adders with Genetic Algorithms: An IBM Quantum Experience RuiLi.html UnaiAlvarez-Rodriguez.html LucasLamata.html EnriqueSolano.html
  107. Lombrana-Gonzalez:2007:MAEB Estudio experimental del tamano de los individuos en Programacion Genetica DanielLombranaGonzalezRodriguez.html FranciscoFernandezdeVega.html
  108. Louchet:2000:RFIA L'algorithme des mouches : une strategie d'evolution individuelle appliquee en stereovision JeanLouchet.html
  109. Louchet:2000:INRIA introduction to musical acoustics: towards a solfegist robot JeanLouchet.html
  110. Louchet:2002:DGA Detection d'attitude d'un helicoptere en phase d'appontage par evolution artificielle JeanLouchet.html AmineMBoumaza.html BaudoinCoppieters.html
  111. Louchet:2006:SITIS Parametric and Evolutionary Methods in Image Processing, tutorial JeanLouchet.html EvelyneLutton.html
  112. Louchet:2006:TSI Evolution artificielle, optimisation et analyse d'images JeanLouchet.html
  113. Louchet:2006:Hermes Modelisation et optimisation en analyse d'images JeanLouchet.html
  114. Louchet:2006:Hermes2 Evolution artificielle et evolution parisienne: applications en traitement de signal et d'images JeanLouchet.html PierreCollet.html
  115. Louchet:2006:EURASIP Model-based Image Analysis using Evolutionary Strategies JeanLouchet.html
  116. Louchet:2007:DAA Optimisation Strategies for Modelling and Simulation, tutorial JeanLouchet.html
  117. Louchet:2009:CIMAT Is vision an inverse problem? JeanLouchet.html
  118. Louchet:2009:evows Flies Open a Door to SLAM JeanLouchet.html EmmanuelSapin.html
  119. Louchet:2009:Paris12 Modelling and optimization in image analysis JeanLouchet.html
  120. Louchet:2014:Gent Why use Evolutionary Computation in Image Processing? A practical guide to Evolutionary Image Processing JeanLouchet.html
  121. Louchet:2014:Gent_tr People tracking: introducing evolutionary methods into image processing, Activity Report 2013-2014 JeanLouchet.html
  122. loughran2016grammatical Grammatical music composition with dissimilarity driven hill climbing RoisinLoughran.html JamesMcDermott.html MichaelO'Neill.html
  123. loughran2016popular The popular critic: Evolving melodies with popularity driven fitness RoisinLoughran.html MichaelO'Neill.html
  124. Loughran:2017:evoMusArt Clustering Agents for the Evolution of Autonomous Musical Fitness RoisinLoughran.html MichaelO'Neill.html
  125. loughranmy `My Little ChucKy': Towards Live-coding with Grammatical Evolution RoisinLoughran.html MichaelO'Neill.html
  126. Loughran:2017:JCMS Limitations from Assumptions in Generative Music Evaluation RoisinLoughran.html MichaelO'Neill.html
  127. Loughran:2018:AISB Serendipity in Melodic Self-organising Fitness RoisinLoughran.html MichaelO'Neill.html
  128. LCLSF200 Evolution Artificielle EvelyneLutton.html PierreCollet.html JeanLouchet.html MicheleSebag.html CyrilFonlupt.html
  129. Lynch:2016:GECCOcomp Evolving Augmented Graph Grammars for Argument Analysis CollinLynch.html LintingXue.html MinChi.html
  130. Lynch:2018:CEC Managing Quality of Service through Intelligent Scheduling in Heterogeneous Wireless Communications Networks DavidLynch.html DavidFagan.html StepanKucera.html HolgerClaussen.html MichaelO'Neill.html
  131. Macret2013aa Automatic tuning of the OP-1 synthesizer using a multi-objective genetic algorithm MatthieuMacret.html
  132. Madureira:2018:SBSE Coordination of inverse-time overcurrent relays with fuses using genetic algorithm VinociusSouzaMadureira.html ThiagoCorreiaVieira.html
  133. Maertens:thesis Information Propagation in Complex Networks Structures and Dynamics MarcusMaertens.html
  134. Maher:2015:WSEAStsc Discrete Controller Synthesis Based on Genetic Programming RamiAMaher.html MohamedJMohamed.html
  135. Maher:2017:ijmcs Identification of Nonlinear Discrete Systems Based Enhanced Genetic Programming RamiAMaher.html MohammadJMohammad.html
  136. Mahmoud:2015:ECSJ Genetic Programming Based Position Estimator and Control Model for Tracking Wheeled Robot Curvatures AbeerMMahmoud.html
  137. marinakis_pap_2009 Pap smear diagnosis using a hybrid intelligent scheme focusing on genetic algorithm based feature selection and nearest neighbor classification YannisMarinakis.html GeorgiosDounias.html JanJantzen.html
  138. MARINI201872 Automated estimate of fish abundance through the autonomous imaging device GUARD1 SimoneMarini.html LorenzoPaoloCorgnati.html CarloMantovani.html MauroBastianini.html EnnioOttaviani.html EmanuelaFanelli.html JacopoAguzzi.html AnnalisaGriffa.html Pierre-MariePoulain.html
  139. Medvet:2018:GPEM Unveiling evolutionary algorithm representation with DU maps EricMedvet.html MarcoVirgolin.html MauroCastelli.html PeterANBosman.html IvoGoncalves.html TeaTusar.html
  140. Medvet:GPEM Designing automatically a representation for grammatical evolution EricMedvet.html AlbertoBartoli.html AndreaDeLorenzo.html FabianoTarlao.html
  141. Mironovich:2018:GECCOcomp From fitness landscape analysis to designing evolutionary algorithms: the case study in automatic generation of function block applications VladimirAnatolevichMironovich.html MaximBuzdalov.html ValeriiVladimirovichVyatkin.html
  142. Moraglio:2007:FOGA Inbreeding Properties of Geometric Crossover and Non-geometric Recombinations AlbertoMoraglio.html RiccardoPoli.html
  143. Mrazek:2018:IETcdt Role of circuit representation in evolutionary design of energy-efficient approximate circuits VojtechMrazek.html ZdenekVasicek.html RadekHrbacek.html
  144. 2743 Large Scale Parameter Meta-Optimization of Metaheuristic Optimization Algorithms with HeuristicLab Hive ChristophNeumueller.html AndreasScheibenpflug.html StefanWagner.html AndreasBeham.html MichaelAffenzeller.html
  145. 2736 Parameter Meta-optimization of Metaheuristic Optimization Algorithms ChristophNeumueller.html StefanWagner.html GabrielKronberger.html MichaelAffenzeller.html
  146. DBLP:conf/esws/NgomoLC13 COALA - Correlation-Aware Active Learning of Link Specifications Axel-CyrilleNgongaNgomo.html KlausLyko.html VictorChristen.html
  147. Nicolau:2016:TCIAIG Evolutionary Behaviour Tree Approaches for Navigating Platform Games MiguelNicolau.html DiegoPerez-Liebana.html MichaelO'Neill.html AnthonyBrabazon.html
  148. Nikulin:2018:GECCO Evolving the autosteering of a car featuring a realistically simulated steering response VsevolodNikulin.html AlbertPodusenko.html IvanTTanev.html KatsunoriShimohara.html
  149. Nowakova2013245 Fuzzy linear regression analysis JanaNowakova.html MiroslavPokorny.html
  150. Nowakova2014511 On multidimensional linear modelling including real uncertainty JanaNowakova.html MiroslavPokorny.html
  151. Nowakova2014413 System Identification Using Genetic Algorithms JanaNowakova.html MiroslavPokorny.html
  152. Nowakova2014133 Automatic power system identification using genetic algorithms JanaNowakova.html JanPlatos.html VaclavSnasel.html
  153. Nyathi2018EWSA Comparison of a Genetic Algorithm to Grammatical Evolution for Automated Design of Genetic Programming Classification Algorithms ThamboNyathi.html NelishiaPillay.html
  154. Parent:thesis Study of the impact of genotype compression for Genetic programming, an application to data compression JohanParent.html
  155. PhD_Thesis_Sergio_Pastrana Attacks Against Intrusion Detection Networks: Evasion, Reverse Engineering and Optimal Countermeasures SergioPastranaPortillo.html
  156. Pauplin:2004:ICARA Obstacle detection by evolutionary algorithm: The Fly Algorithm OlivierPauplin.html JeanLouchet.html EvelyneLutton.html MichelParent.html
  157. Pauplin:2004:ISCIIA Applying evolutionary optimisation to robot obstacle avoidance OlivierPauplin.html JeanLouchet.html EvelyneLutton.html MichelParent.html
  158. Pauplin:2005:JACIII Evolutionary Optimisation for Obstacle Detection and Avoidance in Mobile Robotics OlivierPauplin.html JeanLouchet.html EvelyneLutton.html ArnauddelaFortelle.html
  159. Pedrino:2018:PE A novel methodology for automated Generation of flexible hardware architectures EmersonCarlosPedrino.html IgorFelipeGallon.html FredyJoaoValente.html MarcioMerinoFernandes.html OsmarOgashawara.html ValentinObacRoda.html
  160. 5080 Heterogeneous versus Homogeneous Machine Learning Ensembles AleksandraPetrakova.html MichaelAffenzeller.html GMerkuryeva.html
  161. su10041230 Transport Choice Modeling for the Evaluation of New Transport Policies AnderPijoan.html OihaneKamara-Esteban.html AinhoaAlonso-Vicario.html CruzEnriqueBorges.html
  162. Pinheiro:2015:EPIA Synthesis of In-Place Iterative Sorting Algorithms Using GP: A Comparison Between STGP, SFGP, G3P and GE DavidPinheiro.html AlbertoCanoRojas.html SebastianVentura.html
  163. Podusenko:2018:Actuators Coevolution of the Features of the Dynamics of the Accelerator Pedal and Hyperparameters of the Classifier for Emergency Braking Detection AlbertPodusenko.html VsevolodNikulin.html IvanTTanev.html KatsunoriShimohara.html
  164. Potapov:2015:AGI Optimization Framework with Minimum Description Length Principle for Probabilistic Programming AlexeyPotapov.html VitaBatishcheva.html SergeyRodionov.html
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