Changes to Genetic Programing Bibliography since 2017/10/26

New and modified entries


  1. abbod2007 Evolutionary Computing for Metals Properties Modelling MaysamFAbbod.html MahdiMahfouf.html DerekALinkens.html MikeSellars.html
  2. journals/qip/AbubakarJZYA17 Reversible circuit synthesis by genetic programming using dynamic gate libraries MustaphaYusufAbubakar.html LowTangJung.html MohamedNordinZakaria.html AhmedYounes.html Abdel-HaleemAbdel-Aty.html
  3. Adamatzky:2017:miller Computers from Plants We Never Made: Speculations AndrewAdamatzky.html SimonHarding.html VictorErokhin.html RichardMayne.html NinaGizzie.html FrantisekBaluska.html StefanoMancuso.html GeorgiosChSirakoulis.html
  4. Al-Ratrout:2010:SSD Hybrid Multi-Agent Architecture (HMAA) for meeting scheduling SereinAl-Ratrout.html FrancoisSiewe.html OmarAl-Dabbas.html MaiAl-Fawair.html
  5. journals/peerjpre/AyralA17 Parallel and in-process compilation of individuals for genetic programming on GPU HakanAyral.html SongulVarliAlbayrak.html
  6. Banzhaf:2017:miller Some Remarks on Code Evolution with Genetic Programming WolfgangBanzhaf.html
  7. conf/icaisc/BartczukDR17 The Concept on Nonlinear Modelling of Dynamic Objects Based on State Transition Algorithm and Genetic Programming LukaszBartczuk.html PiotrDziwinski.html VladimirGRedko.html
  8. Belmadani2016-bn MotifGP: DNA Motif Discovery Using Multiobjective Evolution ManuelBelmadani.html
  9. conf/icic/BevilacquaNMI16 Adaptive Bi-objective Genetic Programming for Data-Driven System Modeling VitoantonioBevilacqua.html NicolaNuzzolese.html ErnestoMininno.html GiovanniIacca.html
  10. MichelJanMarinusBieleveldCorr16 Improving species distribution model quality with a parallel linear genetic programming-fuzzy algorithm. MichelJanMarinusBieleveld.html
  11. conf/ijcci/BreenO16 Evolving Art using Aesthetic Analogies - Evolutionary Supervised Learning to Generate Art with Grammatical Evolution AidanPBreen.html ColmO'Riordan.html
  12. Broersma:2017:miller Evolution in Nanomaterio: The NASCENCE Project HajoBroersma.html
  13. Brown:2017:GP_Diablo Tile Based Genetic Programming Generation for Diablo-like games JosephAlexanderBrown.html ValtchanValtchanov.html
  14. Bull:2017:miller Chemical Computing Through Simulated Evolution LarryBull.html RitaToth.html ChrisStone.html BenDeLacyCostello.html AndrewAdamatzky.html
  15. Cadrik:2016:MENDEL Genetic Programming Algorithm Creating and Assembling Subtrees for Making Analytical Functions TomasCadrik.html MarianMach.html
  16. series/sci/Calzada-LedesmaSDOVS17 Comparing Grammatical Evolution's Mapping Processes on Feature Generation for Pattern Recognition Problems ValentinCalzada-Ledesma.html HectorJPuga.html AlfonsoRojasDominguez.html ManuelOrnelas-Rodriguez.html JuanMartinCarpioValadez.html ClaudiaGuadalupeGomezSantillan.html
  17. journals/corr/CaoLNOM17 Improving Fitness Functions in Genetic Programming for Classification on Unbalanced Credit Card Datasets VanLoiCao.html Nhien-AnLe-Khac.html MiguelNicolau.html MichaelO'Neill.html JamesMcDermott.html
  18. Ceska:2017:ICCAD Approximating Complex Arithmetic Circuits with Formal Error Guarantees: 32-bit Multipliers Accomplished MilanCeska.html JiriMatyas.html VojtechMrazek.html LukasSekanina.html ZdenekVasicek.html TomasVojnar.html
  19. journals/nca/ChenZJT16 Application of multi-gene genetic programming based on separable functional network for landslide displacement prediction JiejieChen.html ZhigangZeng.html PingJiang.html HuimingTang.html
  20. Chen:2011:IJCIS Automatic Design of Robust Optimal Controller for Interval Plants using Genetic Programming and Kharitonov Theorem PengChen2.html Yong-ZaiLu.html
  21. Chen:2003:AAAIs Economic Models of Innovations: Why GP Can Be a Possible Way Out? Shu-HengChen.html Bin-TzongChie.html
  22. Chen:2007:IDEAL Modularity, Product Innovation, and Consumer Satisfaction: An Agent-Based Approach Shu-HengChen.html Bin-TzongChie.html
  23. journals/soco/ChenLCW17 Restricted gene expression programming: a new approach for parameter identification inverse problems of partial differential equation YanChen.html KangshunLi.html ZhangxingChen.html JinfengWang.html
  24. Chen:2007:ISNN An IP and GEP Based Dynamic Decision Model for Stock Market Forecasting YuehuiChen.html QiangWu.html FengChen2.html
  25. Clarke:2017:miller Cartesian Genetic Programming for Control Engineering TimClarke.html
  26. journals/jifs/ContrerasHN17 A hybrid automated trading system based on multi-objective grammatical evolution IvanContreras.html JoseIgnacioHidalgoPerez.html LauraNunez-Letamendia.html
  27. s16122124 Looking inside the Ocean: Toward an Autonomous Imaging System for Monitoring Gelatinous Zooplankton LorenzoPaoloCorgnati.html SimoneMarini.html LucaMazzei.html EnnioOttaviani.html StefanoAliani.html AlessandraConversi.html AnnalisaGriffa.html
  28. Dynamic Programming Inspired Genetic Programming to Solve Regression Problems AsimDarwaish.html HammadMajeed.html MQuamberAli.html AbdulRafay.html
  29. journals/soco/SilvaMZ16 Genetic programming for QoS-aware web service composition and selection AlexandreSawczukdaSilva.html HuiMa.html MengjieZhang.html
  30. deAraujo:2018:EAAI Solving stochastic differential equations through genetic programming and automatic differentiation WaldirJALobao.html MarcoAurelioCavalcantiPacheco.html DouglasMotaDias.html AnaCarolinaAlvesAbreu.html
  31. deBoer2016 Force and Topography Reconstruction Using GP and MOR for the TACTIP Soft Sensor System GregdeBoer.html HaixinWang.html MazdakGhajari.html AliAlazmani.html RobHewson.html PeteCulmer.html
  32. journals/access/DengYYZ17 Distributed Mining for Content Filtering Function Based on Simulated Annealing and Gene Expression Programming in Active Distribution Network SongDeng.html Chang-anYuan.html JiquanYang.html AihuaZhou.html
  33. DIAZALVAREZ2017 Evolutionary design of the memory subsystem JosefaDiazAlvarez.html JoseLRisco-Martin.html JManuelColmenar.html
  34. DOBAI2017173 Evolutionary design of hash function pairs for network filters RolandDobai.html JanKorenek.html LukasSekanina.html
  35. Dzalbs:2017:miller Multi-step Ahead Forecasting Using Cartesian Genetic Programming IvarsDzalbs.html TatianaKalganova.html
  36. conf/icores/ElkasabySE17 Multiobjective Optimization using Genetic Programming: Reducing Selection Pressure by Approximate Dominance AymanElkasaby.html AkramSalah.html EhabElfeky.html
  37. journals/nca/FallahpourOM17 A hybrid model for supplier selection: integration of AHP and multi expression programming (MEP) AlirezaFallahpour.html EzutahUdoncyOlugu.html SitiNurmayaMusa.html
  38. Faulkner:2017:miller Sub-Symbolic Artificial Chemistries PenelopeFaulkner.html MihailKrastev.html AngelikaSebald.html SusanStepney.html
  39. journals/soco/FengOCC16 Conceptual modeling of evolvable local searches in memetic algorithms using linear genetic programming: a case study on capacitated vehicle routing problem LiangFeng.html Yew-SoonOng.html CaishunChen.html XianshunChen.html
  40. journals/aires/GaitanBM16 Can we obtain viable alternatives to Manning's equation using genetic programming? CarlosFGaitan.html VenkatramaniBalaji.html BerrienMooreIII.html
  41. Applying natural evolution for solving computational problems - Lecture 2 DanielLanzaGarcia.html
  42. Ghorbani:2012:ijsce Application of Chaos Theory and Genetic Programming in Runoff Time Series MohammadAliGhorbani.html HosseinJabbariKhamnei.html HAsadi.html PeymanYousefi.html
  43. gout2016 Learning Optimal Control of Synchronization in Networks of Coupled Oscillators using Genetic Programming-based Symbolic Regression JulienGout.html MarkusQuade.html KamranShafi.html RobertKNiven.html MarkusWAbel.html
  44. journals/nc/GraffEOT17 Time series forecasting with genetic programming MarioGraffGuerrero.html HugoJairEscalante.html FernandoOrnelas-Tellez.html EricSaditTellez.html
  45. Grochol2017 Comparison of Parallel Linear Genetic Programming Implementations DavidGrochol.html LukasSekanina.html
  46. gross:2002:gecco Evolving Chess Playing Programs RoderichGross.html KenoAlbrecht.html WolfgangKantschik.html WolfgangBanzhaf.html
  47. Grossi:2017:CIG Evolved communication strategies and emergent behaviour of multi-agents in pursuit domains GinaGrossi.html BrianJRoss.html
  48. Haddow:2017:miller Evolvable Hardware Challenges: Past, Present and the Path to a Promising Future PaulineHaddow.html AndrewMTyrrell.html
  49. journals/ci/HamidaAA16 Applying Dynamic Training-Subset Selection Methods Using Genetic Programming for Forecasting Implied Volatility SanaBenHamida.html WafaAbdelmalek.html FathiAbid.html
  50. Harding:2017:miller Discovering Boolean Gates in Slime Mould SimonHarding.html JanKoutnik.html JurgenSchmidhuber.html AndrewAdamatzky.html
  51. Heaton:GPEM:deep_learning Ian Goodfellow, Yoshua Bengio, and Aaron Courville: Deep learning JeffHeaton.html
  52. Hens20126774 Computational time reduction for credit scoring: An integrated approach based on support vector machine and stratified sampling method AkhilBandhuHens.html ManojKumarTiwari.html
  53. Henson:2017:miller Designing Digital Systems Using Cartesian Genetic Programming and VHDL BenjaminHenson.html JamesAlfredWalker.html MartinATrefzer.html AndrewMTyrrell.html
  54. Hidalgo:2017:evoApplications Embedded Grammars for Grammatical Evolution on GPGPU JoseIgnacioHidalgoPerez.html CarlosCervigon.html JoseManuelVelasco.html JManuelColmenar.html CarlosGarciaSanchez.html GuillermoBotella.html
  55. Hidalgo2017b Data Based Prediction of Blood Glucose Concentrations Using Evolutionary Methods JoseIgnacioHidalgoPerez.html JManuelColmenar.html GabrielKronberger.html StephanMWinkler.html OscarGarnica.html JLanchares.html
  56. conf/inns/HmidaHBR16 Sampling Methods in Genetic Programming Learners from Large Datasets: A Comparative Study HmidaHmida.html SanaBenHamida.html AmelBorgi.html MartaRukoz.html
  57. Hu:2006:GeoCLEF The University of New South Wales at GeoCLEF 2006 You-HengHu.html LinlinGe.html
  58. journals/jim/JamaliKGNGJ17 Multi-objective genetic programming approach for robust modeling of complex manufacturing processes having probabilistic uncertainty in experimental data AliJamali.html EKhaleghi.html ImanGholaminezhad.html NaderNariman-Zadeh.html BGholaminia.html AJamal-Omidi.html
  59. journals/cogcom/JavedMAK16 A Bio-inspired Parallel-Framework Based Multi-gene Genetic Programming Approach to Denoise Biomedical Images SyedGibranJaved.html AbdulMajid.html SafdarAli.html NabeelaKausar.html
  60. journals/prl/JiangLMQR17 Fuzzy c-means clustering based on weights and gene expression programming Zhao-HuiJiang.html TingtingLi.html WenfangMin.html ZhaoQi.html YuanRao.html
  61. DBLP:conf/dmin/JohanssonKN08 Evolving a Locally Optimized Instance Based Learner UlfJohansson.html RikardKonig.html LarsNiklasson.html
  62. journals/soco/KampouridisO17 Heuristic procedures for improving the predictability of a genetic programming financial forecasting algorithm MichaelKampouridis.html FernandoEstebanBarrilOtero.html
  63. journals/isafm/Karathanasopoulos17 Modelling and trading the London, New York and Frankfurt stock exchanges with a new gene expression programming trader tool AndreasSKarathanasopoulos.html
  64. Kaufmann:2017:miller Combining Local and Global Search: A Multi-objective Evolutionary Algorithm for Cartesian Genetic Programming PaulKaufmann.html MarcoPlatzner.html
  65. Khan:2017:miller Breaking the Stereotypical Dogma of Artificial Neural Networks with Cartesian Genetic Programming GulMuhammadKhan.html ArbabMasoodAhmad.html
  66. journals/concurrency/KhanHLTK17 Optimizing hadoop parameter settings with gene expression programming guided PSO MukhtajKhan.html ZhengwenHuang.html MaozhenLi.html GarethATaylor.html MushtaqKhan.html
  67. KhanchiHZ17 Properties of a GP active learning framework for streaming data with class imbalance SaraKhanchi.html MalcolmHeywood.html NurZincir-Heywood.html
  68. journals/ewc/KhandelwalFMAMY17 Function development for appraising brittleness of intact rocks using genetic programming and non-linear multiple regression models ManojKhandelwal.html RoohollahShiraniFaradonbeh.html MasoudMonjezi.html DanialJahedArmaghani.html MuhdZaimiBinAbdMajid.html SaffetYagiz.html
  69. journals/ese/KifetewTT17 Generating valid grammar-based test inputs by means of genetic programming and annotated grammars FitsumMesheshaKifetew.html RobertoTiella.html PaoloTonella.html
  70. Kim:2007:FWB Winter diatom blooms in a regulated river in South Korea: explanations based on evolutionary computation Dong-KyunKim.html Kwang-SeukJeong.html PeterAlexanderWhigham.html Gea-JaeJoo.html
  71. journals/ieicet/KimKA16a A Conditional Dependency Based Probabilistic Model Building Grammatical Evolution Hyun-TaeKim.html Hyun-KyuKang.html ChangWookAhn.html
  72. Kim20121108 Estimating the non-linear dynamics of free-flying objects SeungsuKim.html AudeBillard.html
  73. journals/tcci/KubalikAZB16 Hybrid Single Node Genetic Programming for Symbolic Regression JiriKubalik.html EduardAlibekov.html JanZegklitz.html RobertBabuska.html
  74. Kuyucu:2017:miller Artificial Development TuzeKuyucu.html MartinATrefzer.html AndrewMTyrrell.html
  75. conf/isat/LapaC16 Weighted Fuzzy Genetic Programming Algorithm for Structure and Parameters Selection of Fuzzy Systems for Nonlinear Modelling KrystianLapa.html KrzysztofCpalka.html
  76. Le:2017:SSS S3: Syntax- and Semantic-guided Repair Synthesis via Programming by Examples Xuan-BachDinhLe.html Duc-HiepChu.html DavidLo.html ClaireLeGoues.html WillemVisser.html
  77. conf/icpr/LeeS16 Learning-based single image dehazing via genetic programming ChulwooLee.html LingShao.html
  78. lensen2017new New Representations in Genetic Programming for Feature Construction in k-Means Clustering AndrewLensen.html BingXue.html MengjieZhang.html
  79. Drag reduction of a car model by linear genetic programming control RuiyingLi.html BerndRNoack.html LaurentCordier.html JacquesBoree.html FabienHarambat.html EurikaKaiser.html ThomasDuriez.html
  80. Li:2017:SEAL Genetic Programming for Lifetime Maximization in Wireless Sensor Networks with a Mobile Sink YingLi.html ZhixingHuang.html JinghuiZhong.html LiangFeng.html
  81. conf/acalci/LiangZB17 Wrapper Feature Construction for Figure-Ground Image Segmentation Using Genetic Programming YuyuLiang.html MengjieZhang.html WillNBrowne.html
  82. journals/entropy/LiuJJ16 Intra-Day Trading System Design Based on the Integrated Model of Wavelet De-Noise and Genetic Programming HongguangLiu.html PingJi.html JianJin2.html
  83. Hongguang_Liu:thesis Multi-frequency analysis for high frequency trading HongguangLiu.html
  84. Liu:2003:JIT Three-dimensional Garment Computer Aided Intelligent Design YanLiu2.html Zhao-fengGeng.html
  85. Lones:2017:JMS A New Evolutionary Algorithm-Based Home Monitoring Device for Parkinson's Dyskinesia MichaelALones.html JaneEAlty.html JeremyCosgrove.html PhilippaDuggan-Carter.html DRStuartJamieson.html RebeccaFrancesNaylor.html AndrewJamesTurner.html StephenLSmith.html
  86. CollinLynch-Thesis-3-11-2014 The Diagnosticity of Argument Diagrams CollinLynch.html
  87. Marini2016Martech Automatic fish counting from underwater video images: performance estimation and evaluation SimoneMarini.html ErnestoAzzurro.html SalvatoreCoco.html JoaquinDelRio.html SergioEnguidanos.html EmanuelaFanelli.html MarcNoguerasCervera.html ValerioSbragaglia.html DanielToma.html JacopoAguzzi.html
  88. conf/acalci/MasoodMCZ17 A PSO-Based Reference Point Adaption Method for Genetic Programming Hyper-Heuristic in Many-Objective Job Shop Scheduling AtiyaMasood.html YiMei.html GangChen2.html MengjieZhang.html
  89. Medvet:2017:evoApplications Road Traffic Rules Synthesis Using Grammatical Evolution EricMedvet.html AlbertoBartoli.html JacopoTalamini.html
  90. Mingo:GPEM:shared_grammars Evolution of shared grammars for describing simulated spatial scenes with grammatical evolution JackMarioMingo.html RicardoAlerMur.html
  91. conf/bracis/MirandaP16 Tree-Based Grammar Genetic Programming to Evolve Particle Swarm Algorithms PericlesBarbosaMiranda.html RicardoBastosCavalcantePrudencio.html
  92. oai:CiteSeerX.psu: Record Deduplication By Evolutionary Means MarcoModesto.html MoisesGdeCarvalho.html WalterdosSantos.html
  93. 7926993 EvoApproxSb: Library of approximate adders and multipliers for circuit design and benchmarking of approximation methods VojtechMrazek.html RadekHrbacek.html ZdenekVasicek.html LukasSekanina.html
  94. Ni:2013:iccsee The Convergence Mechanism and Strategies for Non-Elitist Genetic Programming HeNi.html BoYu.html FanmingZeng.html FengruiSun.html
  95. nibikora2011 Drafting Force Forecasting Using Genetic Programming IldephonseNibikora.html JunWang3.html
  96. Niimi:2002:SCIS_ISIS Category-based Extracting Keyword Method Selection with Genetic Programming AyahikoNiimi.html TakumaYasunobu.html EiichiroTazaki.html
  97. Ojha:thesis Feature Selection and Function Approximation Using Adaptive Algorithms VarunKumarOjha.html
  98. Palotti:2010:JIDM Estimating the Credibility of Examples in Automatic Document Classification JoaoPalotti.html ThiagoCunhadeMouraSalles.html GiseleLPappa.html FilipedeLimaArcanjo.html MarcosAndreGoncalves.html WagnerMeira.html
  99. Pappa:2016:GECCOcomp GECCO '16 Companion: Proceedings of the 2016 on Genetic and Evolutionary Computation Conference Companion GiseleLPappa.html MarkusWagner.html JohnRWoodward.html DanielRTauritz.html ManuelLopez-Ibanez.html MaximBuzdalov.html AnneAuger.html DimoBrockhoff.html NikolausHansen.html TeaTusar.html DejanTusar.html TobiasWagner.html Una-MayO'Reilly.html ErikHemberg.html NicoleHoffman.html StephaneDoncieux.html JoshuaEAuerbach.html RichardDuro.html HarolddeVladar.html JoseSantos.html JuliaHandl.html AmardaShehu.html StefanWagner.html MichaelAffenzeller.html VanessaVolz.html SamadhiNallaperuma.html FrankMoore.html GunesKayacik.html WestleyWeimer.html JustynaPetke.html DavidRobertWhite.html SilvinoFernandezAlzuetaArcelor.html PabloValledor.html ThomasStuetzle.html KuberKarthik.html MasayaNakata.html ShafiKamran.html GiovanniSquillero.html AlbertoTonda.html StephenLSmith.html StefanoCagnoni.html RobertMPatton.html PeterANBosman.html JohnAWMcCall.html DavidWalker.html RichardEverson.html JonathanEFieldsend.html CarolaDoerr.html JuliaHandl.html EmmaHart.html GabrielaOchoa.html AmardaShehu.html TeaTusar.html ChristineZarges.html NurZincir-Heywood.html AlmaRahat.html RichardEverson.html JonathanEFieldsend.html HandingWang.html YaochuJin.html
  100. 10.1371/journal.pone.0158230 A Novel, Unbiased Analysis Approach for Investigating Population Dynamics: A Case Study on Calanus finmarchicus and Its Decline in the North Sea DannyJPapworth.html SimoneMarini.html AlessandraConversi.html
  101. conf/acalci/ParkMNCZ17 Investigating the Generality of Genetic Programming Based Hyper-heuristic Approach to Dynamic Job Shop Scheduling with Machine Breakdown JohnPark.html YiMei.html SuNguyen.html GangChen2.html MengjieZhang.html
  102. Petrowski:2017:EAch6 Genetic Programming for Machine Learning AlainPetrowski.html SanaBenHamida.html
  103. Pimenta:CE An Automated Investing Method for Stock Market Based on Multiobjective Genetic Programming AlexandrePimenta.html CiniroAparecidoLeiteNametala.html FredericoGadelhaGuimaraes.html EduardoGontijoCarrano.html
  104. Poor:2017:IJACSA A Genetic Programming based Algorithm for Predicting Exchanges in Electronic Trade using Social Networks' Data ShokoohSheikhAbooliPoor.html MohammadEbrahimShiriAhmadAbady.html
  105. journals/npl/PoziSMP16 Improving Anomalous Rare Attack Detection Rate for Intrusion Detection System Using Support Vector Machine and Genetic Programming MuhammadSyafiqMohdPozi.html MdNasirSulaiman.html NorwatiMustapha.html ThinagaranPerumal.html
  106. 02-3147_Albatross Developing Maneuvering Behaviors for a Glider UAV Using a Genetic Programming Model RichardJPryor.html DianneBarton.html
  107. Design and Implementation of a Procedural Content Generation Web Application for Vertex Shaders JuanCQuiroz.html SergiuMDascalu.html
  108. Phat A Genetic Programming Model: Data-defined, Data Mining, Variable Selection, and Decile Optimization BruceRatner.html
  109. Ratner2001 Finding the best variables for direct marketing models BruceRatner.html
  110. Thesis_AJSC Transient error mitigation by means of approximate logic circuits AntonioJoseSanchez-Clemente.html
  111. journals/ijamc-igi/SangeethaNMR16 A New Approach for Analyzing the Performance of the WiMAX Networks based on QoS Traffic Prediction Routing Protocol using Gene Expression Programming JSangeetha.html KeerthirajNagaraj.html KNBalasubramanyaMurthy.html RamPRustagi.html
  112. Sannino:2015:BIOSTEC Indirect Blood Pressure Evaluation by Means of Genetic Programming GiovannaSannino.html IvanoeDeFalco.html GiuseppeDePietro.html
  113. journals/corr/Santana17 Reproducing and learning new algebraic operations on word embeddings using genetic programming RobertoSantana.html
  114. Sekanina:2017:miller Approximate Computing: An Old Job for Cartesian Genetic Programming? LukasSekanina.html
  115. 2968 Approximate Circuits in Low-Power Image and Video Processing: The Approximate Median Filter LukasSekanina.html ZdenekVasicek.html VojtechMrazek.html
  116. 7987592 Adaptive and Energy-Efficient Architectures for Machine Learning: Challenges, Opportunities, and Research Roadmap MuhammadShafique.html RehanHafiz.html MuhammadUsamaJaved.html SarmadAbbas.html LukasSekanina.html ZdenekVasicek.html VojtechMrazek.html
  117. Shanmugam:2002:CSCC Design of 1-D Piece-wise Maps for Multi-user CDMA Communications Using a Novel GP-DNA Algorithm SurendranShanmugam.html VinayVaradan.html HenryLeung.html
  118. Thesis_Tianfeng_SHEN Evaluation of urban heat island situation in developed cities of Zhejiang province TianfengShen.html
  119. Shir:GPEM:hybridMH Christian Blum and G\"unther R. Raidl: Hybrid metaheuristics---powerful tools for optimization OferMShir.html
  120. Smith:2017:miller Medical Applications of Cartesian Genetic Programming StephenLSmith.html MichaelALones.html
  121. series/sci/Sotelo-FigueroaSVHRSE17 Generating Bin Packing Heuristic Through Grammatical Evolution Based on Bee Swarm Optimization MarcoAurelioSoteloFigueroa.html HectorJPuga.html JuanMartinCarpioValadez.html HectorJoaquinFraireHuacuja.html LauraCruz.html JorgeAlbertoSoria-Alcaraz.html AndresEspinal.html
  122. conf/dphoto/SridharDE16 Use of Flawed and Ideal Image Pairs to Drive Filter Creation by Genetic Programming SubashMarriSridhar.html HenryGDietz.html PaulSelegueEberhart.html
  123. miller60book Inspired by Nature: Essays Presented to Julian F. Miller on the Occasion of his 60th Birthday SusanStepney.html AndrewAdamatzky.html
  124. conf/semweb/TiddidM16 Learning to Assess Linked Data Relationships Using Genetic Programming IlariaTiddi.html Mathieud'Aquin.html EnricoMotta.html
  125. Intelligent Watermarking Scheme for image Authentication and Recovery RafiUllahHabib.html HaniAliAlquhayz.html
  126. Vasicek:2017:miller Bridging the Gap Between Evolvable Hardware and Industry Using Cartesian Genetic Programming ZdenekVasicek.html
  127. 7927241 Towards low power approximate DCT architecture for HEVC standard ZdenekVasicek.html VojtechMrazek.html LukasSekanina.html
  128. conf/esorics/VeggalamRHB16 IFuzzer: An Evolutionary Interpreter Fuzzer Using Genetic Programming SpandanVeggalam.html SanjayRawat.html IstvanHaller.html HerbertBos.html
  129. Velasco:2017:evoApplications Enhancing Grammatical Evolution Through Data Augmentation: Application to Blood Glucose Forecasting JoseManuelVelasco.html OscarGarnica.html SergioContador.html JManuelColmenar.html EstherMaqueda.html MartaBotella.html JLanchares.html JoseIgnacioHidalgoPerez.html
  130. Vonk:1995:etd Integrating evolutionary computation with neural networks EVonk.html LakhmiCJain.html LPJVeelenturf.html RHibbs.html
  131. 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 JuliaHandl.html AmardaShehu.html MostafaMHashimEllabaan.html StefanWagner.html MichaelAffenzeller.html FrankNeumann.html MarkusWagner.html PaulKaufmann.html OliverKramer.html PGMBaltus.html GiovanniIacca.html MNAndraud.html MarkusWagner.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 RyanJUrbanowicz.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 TeaTusarJozef.html AmardaShehu.html TeaTusar.html AlmaRahat.html RichardEverson.html JonathanEFieldsend.html HandingWang.html YaochuJin.html
  132. Uncertainty-Driven Black-Box Test Data Generation NeilWalkinshaw.html GordonFraser.html
  133. Wang:2017:SEAL GP-Based Approach to Comprehensive Quality-Aware Automated Semantic Web Service Composition ChenWang.html HuiMa.html AaronChen.html SvenHartmann.html
  134. conf/smc/WangOYA16 Improving gene expression programming using diversity preservation tournament and its application in grid cell modeling LinWang.html JeffOrchard.html BoYang.html AjithAbraham.html
  135. journals/jifs/WeiJW16 A new multiobjective genetic programming approach using compromise distance ranking for automated design of nonlinear system design ShuangWei.html DefuJiang.html FengWang.html
  136. Jason_Robert_White:thesis Integration of Reaction Kinetics Theory and Gene Expression Programming to Infer Reaction Mechanism JasonRWhite.html
  137. White:2017:evoApplications Integration of Reaction Kinetics Theory and Gene Expression Programming to Infer Reaction Mechanism JasonRWhite.html RanjanSrivastava.html
  138. Wiglasz:2017:GlobalSIP Evolutionary Approximation of Gradient Orientation Module in HOG-based Human Detection System MichalWiglasz.html LukasSekanina.html
  139. conf/kesamsta/WilisowskiD15 The Application of Co-evolutionary Genetic Programming and TD(1) Reinforcement Learning in Large-Scale Strategy Game VCMI LukaszWilisowski.html RafalDrezewski.html
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