Changes to Genetic Programing Bibliography since 2019/03/01

New and modified entries


  1. ababsa:2018:IJAC Genetic programming-based self-reconfiguration planning for metamorphic robot TarekAbabsa.html NoureddineDjedl.html YvesDuthen.html
  2. adhikari:2019:SCDA Shear Force Analysis and Modeling for Discharge Estimation Using Numerical and GP for Compound Channels AlokAdhikari.html NibeditaAdhikari.html KCPatra.html
  3. adhikari:JIEIa Genetic Programming: A Complementary Approach for Discharge Modelling in Smooth and Rough Compound Channels AlokAdhikari.html NAdhikari.html KCPatra.html
  4. afzali:2018:AJCAI A Genetic Programming Approach for Constructing Foreground and Background Saliency Features for Salient Object Detection ShimaAfzali.html HarithAl-Sahaf.html BingXue.html ChristopherHollitt.html MengjieZhang.html
  5. Agapitos:ieeeTEC A Survey of Statistical Machine Learning Elements in Genetic Programming AlexandrosAgapitos.html RoisinLoughran.html MiguelNicolau.html SimonMLucas.html MichaelO'Neill.html AnthonyBrabazon.html
  6. Alshahwan:2019:GI Industrial experience of Genetic Improvement in Facebook NadiaAlshahwan.html
  7. alvarado-iniesta:JoIM Multi-objective optimization of an engine mount design by means of memetic genetic programming and a local exploration approach AlejandroAlvarado-Iniesta.html LuisGonzaloGuillen-Anaya.html LuisAlbertoRodriguez-Picon.html RaulNeco-Caberta.html
  8. armaghani:2018:NCaA Settlement prediction of the rock-socketed piles through a new technique based on gene expression programming DanialJahedArmaghani.html RoohollahShiraniFaradonbeh.html HosseinRezaei.html AhmadSafuanARashid.html HassanBakhshandehAmnieh.html
  9. aryafar:2019:EES Evolving genetic programming and other AI-based models for estimating groundwater quality parameters of the Khezri plain, Eastern Iran AhmadAryafar.html VahidKhosravi.html HosniyehZarepourfard.html RezaRooki.html
  10. assimi:NCaA Multi-objective sizing and topology optimization of truss structures using genetic programming based on a new adaptive mutant operator HiradAssimi.html AliJamali.html NaderNariman-Zadeh.html
  11. azamathulla:2018:AWS Gene expression programming and artificial neural network to estimate atmospheric temperature in Tabuk, Saudi Arabia HaziMohammadAzamathulla.html UpakaRathnayake.html AhmadShatnawi.html
  12. baeza-yates:2018:DESA Learning Ranking Functions by Genetic Programming Revisited RicardoBaeza-Yates.html AlfredoCuzzocrea.html DomenicoCrea.html GiovanniLoBianco.html
  13. Barlow:2008:gecco Evolving cooperative control on sparsely distributed tasks for UAV teams without global communication GregoryJBarlow.html ChoongKOh.html StephenFSmith.html
  14. Barmpalexis2011122 Solid dispersions in the development of a nimodipine floating tablet formulation and optimization by artificial neural networks and genetic programming PanagiotisBarmpalexis.html KyriakosKachrimanis.html EmanouilGeorgarakis.html
  15. Barmpalexis201175 Symbolic regression via genetic programming in the optimization of a controlled release pharmaceutical formulation PanagiotisBarmpalexis.html KyriakosKachrimanis.html AthanasiosDTsakonas.html EmanouilGeorgarakis.html
  16. barmpalexis:2018:AAPSPST Development of a New Aprepitant Liquisolid Formulation with the Aid of Artificial Neural Networks and Genetic Programming PanagiotisBarmpalexis.html AgniGrypioti.html GeorgiosKEleftheriadis.html DimitrisGFatouros.html
  17. beura:2018:AJSE Operational Analysis of Signalized Street Segments Using Multi-gene Genetic Programming and Functional Network Techniques SambitKumarBeura.html PrasantaKumarBhuyan.html
  18. bhavita:2019:WREE Regime-Wise Genetic Programming Model for Improved Streamflow Forecasting KBhavita.html DSwathi.html JManideep.html DSreeSandeep.html MaheswaranRathinasamy.html
  19. bingol:2018:NCaA Application of gene expression programming in hot metal forming for intelligent manufacturing SedatBingol.html HidirYankiKilicgedik.html
  20. bi:2018:AJCAI A Gaussian Filter-Based Feature Learning Approach Using Genetic Programming to Image Classification YingBi.html BingXue.html MengjieZhang.html
  21. Blot:2019:GI Fuzzy Edit Sequences in Genetic Improvement AymericBlot.html
  22. boumanchar:BCaB Biomass higher heating value prediction from ultimate analysis using multiple regression and genetic programming ImaneBoumanchar.html KenzaCharafeddine.html YounesChhiti.html FatimaEzzahraeM'hamdiAlaoui.html AbdelazizSahibed-dine.html FouadBentiss.html CharafeddineJama.html MohammedBensitel.html
  23. castellanos-garzon:2019:PACBBIC A Genetic Programming Approach Applied to Feature Selection from Medical Data JoseACastellanos-Garzon.html JuanRamos.html YerayMezquitaMartin.html JuanFdePaz.html ErnestoCosta.html
  24. chu:2019:MMM A Genetic Programming Approach to Integrate Multilayer CNN Features for Image Classification Wei-TaChu.html Hao-AnChu.html
  25. Contreras-Cruz:GPEM A genetic programming framework in the automatic design of combination models for salient object detection MarcoAntonioContrerasCruz.html DianaEMartinez-Rodriguez.html UrielHaileHernandezBelmonte.html VictorAyala-Ramirez.html
  26. dangelo:SC A proposal for distinguishing between bacterial and viral meningitis using genetic programming and decision trees GianniD'Angelo.html RaffaelePilla.html CarloTascini.html SalvatoreRampone.html
  27. dearrudapereira:2019:SC A comparative study of optimization models in genetic programming-based rule extraction problems MarconideArrudaPereira.html EduardoGontijoCarrano.html ClodoveuAugustoDavisJunior.html JoaoAntoniodeVasconcelos.html
  28. devra:2018:QIP Efficient experimental design of high-fidelity three-qubit quantum gates via genetic programming AmitDevra.html PrithvirajPrabhu.html HarpreetSingh.html ArvindKavitaDorai.html
  29. Ding:2019:GI Leveraging Program Invariants to Promote Population Diversity in Search-Based Automatic Program Repair ZhenYuDing.html YiweiLyu.html ChristopherTimperley.html ClaireLeGoues.html
  30. dolson:2018:GPTP Exploring Genetic Programming Systems with MAP-Elites EmilyDolson.html AlexanderLalejini.html CharlesOfria.html
  31. el-zoghabi:2019:ICAISI An Improved Cache Invalidation Policy in Wireless Environment Cooperate with Cache Replacement Policy Based on Genetic Programming AdelEl-Zoghabi.html AmroGElshenawy.html
  32. elkasaby:2018:ORES Approximate Dominance for Many-Objective Genetic Programming AymanElkasaby.html AkramSalah.html EhabElfeky.html
  33. escobar:2019:EMO Process-Monitoring-for-Quality--A Model Selection Criterion for Genetic Programming CarlosAEscobar.html DianaMWegner.html AbhinavGaur.html RubenMorales-Menendez.html
  34. esparcia-alcazar:2018:MC Using genetic programming to evolve action selection rules in traversal-based automated software testing: results obtained with the TESTAR tool AnnaEsparcia-Alcazar.html FranciscoAlmenar.html TanjaEJVos.html UrkoRueda.html
  35. faradonbeh:2018:EMaA Development of GP and GEP models to estimate an environmental issue induced by blasting operation RoohollahShiraniFaradonbeh.html MahdiHasanipanah.html HassanBakhshandehAmnieh.html DanialJahedArmaghani.html MasoudMonjezi.html
  36. faradonbeh:2018:NCaA Prediction and minimization of blast-induced flyrock using gene expression programming and firefly algorithm RoohollahShiraniFaradonbeh.html DanialJahedArmaghani.html HassanBakhshandehAmnieh.html EdyTonnizamMohamad.html
  37. feli:SIVP A novel recursive backtracking genetic programming-based algorithm for 12-lead ECG compression MohammadFeli.html FardinAbdali-Mohammadi.html
  38. froehlich:2019:LaIO Creating a Multi-iterative-Priority-Rule for the Job Shop Scheduling Problem with Focus on Tardy Jobs via Genetic Programming GeorgEAFroehlich.html GuenterKiechle.html KarlFDoerner.html
  39. fu:SC Bayesian genetic programming for edge detection WenlongFu.html MengjieZhang.html MarkJohnston.html
  40. gholami:NCaA Reliable method of determining stable threshold channel shape using experimental and gene expression programming techniques AzadehGholami.html HosseinBonakdari.html MohammadZeynoddin.html IsaEbtehaj.html BahramGharabaghi.html SaeedRezaKhodashenas.html
  41. Gircys:2019:Complexity Image Evolution Using 2D Power Spectra MichaelGircys.html BrianJRoss.html
  42. griffiths:2018:ALIA Improving the Effectiveness of Genetic Programming Using Continuous Self-adaptation ThomasDGriffiths.html AnikoEkart.html
  43. hintze:2018:GPTP The Evolutionary Buffet Method ArendHintze.html JorySchossau.html CliffordBohm.html
  44. hlavac:2019:RASC Accelerated Genetic Programming VladimirHlavac.html
  45. Hornby:2006:space Automated Antenna Design with Evolutionary Algorithms GregorySHornby.html AlGlobus.html DerekSLinden.html JasonLohn.html
  46. iqbal:SC Genetic programming with transfer learning for texture image classification MuhammadIqbal.html HarithAl-Sahaf.html BingXue.html MengjieZhang.html
  47. jafari:2018:JSST Prediction of hydroxyapatite crystallite size prepared by sol-gel route: gene expression programming approach MehrdadMahdaviJafari.html GholamRezaKhayati.html
  48. javed:2018:MTaA Developing a bio-inspired multi-gene genetic programming based intelligent estimator to reduce speckle noise from ultrasound images SyedGibranJaved.html AbdulMajid.html YeonSooLee.html
  49. Juarez-Smith:GPEM Local search in speciation-based bloat control for genetic programming PerlaSarahiJuarez-Smith.html LeonardoTrujillo.html MarioGarcia-Valdez.html FranciscoFernandezdeVega.html FranciscoChavez.html
  50. karahan:2018:Pramana Genetic programming modelling for the electrical resistivity of Cu-Zn thin films IsmailHakkiKarahan.html RasimOzdemir.html
  51. karami:2018:NCaA Predicting discharge coefficient of triangular labyrinth weir using extreme learning machine, artificial neural network and genetic programming HojatKarami.html SohrabKarimi.html HosseinBonakdari.html ShahabodinShamshirband.html
  52. kasparaviciute:2019:BISW Plastic Grabber: Underwater Autonomous Vehicle Simulation for Plastic Objects Retrieval Using Genetic Programming GabrieleKasparaviciute.html StigAntonNielsen.html DhruvBoruah.html PeterNordin.html AlexandruDancu.html
  53. kelly:2018:GPTP Emergent Policy Discovery for Visual Reinforcement Learning Through Tangled Program Graphs: A Tutorial StephenKelly.html RobertJSmith.html MalcolmHeywood.html
  54. 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
  55. korns:2018:GPTP Strong Typing, Swarm Enhancement, and Deep Learning Feature Selection in the Pursuit of Symbolic Regression-Classification MichaelKorns.html TimMay.html
  56. Krauss:2019:GI Mining Patterns from Genetic Improvement Experiments OliverKrauss.html
  57. kronberger:2018:GPTP Cluster Analysis of a Symbolic Regression Search Space GabrielKronberger.html LukasKammerer.html BogdanBurlacu.html StephanMWinkler.html MichaelKommenda.html MichaelAffenzeller.html
  58. lalejini:2018:GPTP What Else Is in an Evolved Name? Exploring Evolvable Specificity with SignalGP AlexanderLalejini.html CharlesOfria.html
  59. langdon:2019:log2 Genetic Improvement of Data gives Binary Logarithm from sqrt WilliamBLangdon.html JustynaPetke.html
  60. langdon:2019:gpquick Parallel GPQUICK WilliamBLangdon.html
  61. Leach:2019:GI Evolutionary Computation for Improving Malware Analysis KevinLeach.html RyanDougherty.html ChadSpensky.html StephanieForrest.html WestleyWeimer.html
  62. leahy:2005:SPIGS Social Programming: Investigations in Grammatical Swarm FinbarLeahy.html
  63. cacm2019_program_repair Automated Program Repair ClaireLeGoues.html MichaelPradel.html AbhikRoychoudhury.html
  64. Liou:2019:GI Genetic Improvement of GPU Code Jhe-YuLiou.html StephanieForrest.html Carole-JeanWu.html
  65. liu:2019:WRM A Recursive Approach to Long-Term Prediction of Monthly Precipitation Using Genetic Programming SuningLiu.html HaiyunShi.html
  66. lysek:2019:RASC Grammatical Evolution for Classification into Multiple Classes JiriLysek.html JiriStastny.html
  67. mac:2018:AJCAI An Improved Genetic Programming Hyper-Heuristic for the Uncertain Capacitated Arc Routing Problem JordanMacLachlan.html YiMei.html JurgenBranke.html MengjieZhang.html
  68. mahalakshmi:2019:ICTIS Comparison of BOD5 Removal in Water Hyacinth and Duckweed by Genetic Programming RamKumarMahalakshmi.html CSivapragasam.html SankararajanVanitha.html
  69. mahapatra:2018:NIC Medical Diagnosing of Canine Diseases Using Genetic Programming and Neural Networks CosmenaMahapatra.html
  70. maree:2018:AISC Deriving Functions for Pareto Optimal Fronts Using Genetic Programming ArmandMaree.html MariusRiekert.html MardeHelbig.html
  71. Martins:2018:LA-CCI Discovering SQL Queries from Examples using Intelligent Algorithms DenisMayrLimaMartins.html GottfriedVossen.html FernandoBuarquedeLimaNeto.html
  72. mattar:NCaA GEP and MLR approaches for the prediction of reference evapotranspiration MohamedAMattar.html AAAlazba.html
  73. mehdizadeh:2018:WRM A Comparative Study of Autoregressive, Autoregressive Moving Average, Gene Expression Programming and Bayesian Networks for Estimating Monthly Streamflow SaeidMehdizadeh.html AliKozekalaniSales.html
  74. mehr:2018:ICAFS A Genetic Programming Approach to Forecast Daily Electricity Demand AliDanandehMehr.html FarzanehBagheri.html RifatResatoglu.html
  75. meli:2019:RASC Spam Detection Using Linear Genetic Programming ClydeMeli.html VitezslavNezval.html ZuzanaOplatkova.html VictorButtigieg.html
  76. meneguzzi:2018:PRIMA Sensor Placement for Plan Monitoring Using Genetic Programming FelipeMeneguzzi.html RamonFragaPereira.html NirOren.html
  77. metevier:2018:GPTP Lexicase Selection Beyond Genetic Programming BlossomMetevier.html AnilKumarSaini.html LeeSpector.html
  78. mi:2018:ICONIP Multi-Dimensional Optical Flow Embedded Genetic Programming for Anomaly Detection in Crowded Scenes ZeyuMi.html LinShang.html BingXue.html
  79. miller:2018:GPTP Evolving Developmental Programs That Build Neural Networks for Solving Multiple Problems JulianFMiller.html DennisGWilson.html SylvainCussat-Blanc.html
  80. MO:2018:ASC GMDH-based hybrid model for container throughput forecasting: Selective combination forecasting in nonlinear subseries LiliMo.html LingXie.html XiaoyiJiang.html GeerTeng.html LixiangXu.html JinXiao.html
  81. mora:GPEM On the scalability of evolvable hardware architectures: comparison of systolic array and Cartesian genetic programming JavierMoradeSambricio.html RubenSalvador.html EduardodelaTorre.html
  82. munoz:2018:AiCI Vegetation Index Based on Genetic Programming for Bare Ground Detection in the Amazon JulianMunoz.html CarlosAlbertoCobosLozada.html MarthaElianaMendozaBecerra.html
  83. nag:2019:ESIA Genetic Programming for Classification and Feature Selection KaustuvNag.html NikhilRanjanPal.html
  84. nguyen:2019:ESIA Genetic Programming for Job Shop Scheduling SuNguyen.html MengjieZhang.html MarkJohnston.html KayChenTan.html
  85. ohki:2019:SNas Multi-objective genetic programming with partial sampling and its extension to many-objective MakotoOhki.html
  86. oliveira:2018:ESE Improved representation and genetic operators for linear genetic programming for automated program repair ViniciusPauloLOliveira.html EduardoFariadeSouza.html ClaireLeGoues.html CelsoGCamiloJr.html
  87. oneill:2018:GPTP The Elephant in the Room: Towards the Application of Genetic Programming to Automatic Programming MichaelO'Neill.html DavidFagan.html
  88. panda:2019:JoIM Evaluation of genetic programming-based models for simulating bead dimensions in wire and arc additive manufacturing BiranchiNarayanPanda.html KShankhwar.html AkhilGarg.html MMSavalani.html
  89. park:2018:AJCAI Evolutionary Multitask Optimisation for Dynamic Job Shop Scheduling Using Niched Genetic Programming JohnPark.html YiMei.html SuNguyen.html GangChen.html MengjieZhang.html
  90. Petke:2019:ICSEworkshop Proceedings 2019 ACM/IEEE 6th International Genetic Improvement Workshop, GI 2019 JustynaPetke.html ShinHweiTan.html WilliamBLangdon.html WestleyWeimer.html
  91. rao:2018:DEIC Dynamic Secure Deduplication in Cloud Using Genetic Programming KVPanduRangaRao.html VKrishnaReddy.html SKYakoob.html
  92. ravandi:2018:GaGE Water Curtain System Pre-design for Crude Oil Storage URCs: A Numerical Modeling and Genetic Programming Approach EbrahimGhotbiRavandi.html RezaRahmannejad.html SaeedKarimi-Nasab.html AmirSarrafi.html AmirRaoof.html
  93. riahi-madvar:2019:WRM Pareto Optimal Multigene Genetic Programming for Prediction of Longitudinal Dispersion Coefficient HossienRiahi-Madvar.html MajidDehghani.html AkramSeifi.html VijayPSingh.html
  94. rong:2018:CPOMIA Explaining Convolutional Neural Networks for Area Estimation of Choroidal Neovascularization via Genetic Programming YibiaoRong.html KaiYu.html DehuiXiang.html WeifangZhu.html ZhunFan.html XinjianChen.html
  95. Saber:GPEM A multi-level grammar approach to grammar-guided genetic programming: the case of scheduling in heterogeneous networks TakfarinasSaber.html DavidFagan.html DavidLynch.html StepanKucera.html HolgerClaussen.html MichaelO'Neill.html
  96. sahin:NCaA A gene expression programming approach for thermodynamic properties of working fluids used on Organic Rankine Cycle ArzuSencanSahin.html ErkanDikmen.html SametSenturk.html
  97. samui:GaGE Reliability Analysis of Slope Safety Factor by Using GPR and GP PijushSamui.html RahulKumar.html UttamYadav.html SunitaKumari.html DieuTienBui.html
  98. severcan:2018:AJSE Empirical Modeling of Modal Damping Ratio of Impact-Damped Flexible Beams by GEP MetinHakanSevercan.html
  99. shabanlou:2018:JMSA Determining the Scour Dimensions Around Submerged Vanes in a 180? Bend with the Gene Expression Programming Technique SaeidShabanlou.html HamedAzimi.html IsaEbtehaj.html HosseinBonakdari.html
  100. shahi:2019:ICICSE Congestion Control in Backhaul Network Using Strongly Typed Genetic Programming BimlenduShahi.html DivyaJha.html NDDushyanth.html
  101. sharifipour:2018:NCaA Comparison of genetic programming and radial basis function neural network for open-channel junction velocity field prediction MinooSharifipour.html HosseinBonakdari.html AmirHosseinZaji.html
  102. Sharma:thesis Experimental Investigations of the Mechanical, Wear and Biocompatible Properties of Nickel Titanium Alloy NeerajSharma.html
  103. sharma:2019:JoIM Porosity exploration of SMA by Taguchi, regression analysis and genetic programming NeerajSharma.html KamalKumar.html TilakRaj.html VinodKumar.html
  104. shen:2018:BEGE Predicting the shear strength parameters of sandstone using genetic programming JiayiShen.html RafaelJimenez.html
  105. sheta:2019:ISTSL Utilizing Faults and Time to Finish Estimating the Number of Software Test Workers Using Artificial Neural Networks and Genetic Programming AlaaSheta.html SultanAljahdali.html MalikBraik.html
  106. sivapragasam:2019:ICTIS Mathematical Modeling of Gradually Varied Flow with Genetic Programming: A Lab-Scale Application CSivapragasam.html PoomalaiSaravanan.html KaliappanGaneshmoorthy.html AtchuthaMuhil.html SundharamoorthyDilip.html SundarasrinivasanSaivishnu.html
  107. Suganuma:2019:EC Evolution of Deep Convolutional Neural Networks Using Cartesian Genetic Programming MasanoriSuganuma.html MasayukiKobayashi.html ShinichiShirakawa.html TomoharuNagao.html
  108. Swan:GPEM Stochastic synthesis of recursive functions made easy with bananas, lenses, envelopes and barbed wire JerrySwan.html KrzysztofKrawiec.html ZoltanKocsis.html
  109. tan:2018:AJCAI A Genetic Programming Hyper-heuristic Approach for Online Resource Allocation in Container-Based Clouds BoxiongTan.html HuiMa.html YiMei.html
  110. tikhe:2019:AiWM Estimation of Landfill Gas Using Genetic Programming KshitijaSTikhe.html BasavrajSBalapgol.html SandipTMali.html
  111. trujillo:2018:GPTP Untapped Potential of Genetic Programming: Transfer Learning and Outlier Removal LeonardoTrujillo.html LuisMunozDelgado.html UrielLopez.html DanielEHernandez.html
  112. vanneschi:2018:IJCSM Accurate High Performance Concrete Prediction with an Alignment-Based Genetic Programming System LeonardoVanneschi.html MauroCastelli.html KristenScott.html AlesPopovic.html
  113. velasco:2018:MC Combining data augmentation, EDAs and grammatical evolution for blood glucose forecasting JoseManuelVelascoCabo.html OscarGarnica.html JLanchares.html MartaBotella.html JoseIgnacioHidalgoPerez.html
  114. Vidnerova:GPEM Hitoshi Iba: Evolutionary approach to machine learning and deep neural networks: neuro-evolution and gene regulatory networks PetraVidnerova.html
  115. wieczorek:2019:CIMBB GP-Based Grammatical Inference for Classification of Amyloidogenic Sequences WojciechWieczorek.html OlgierdUnold.html
  116. Xin:2019:GI Better Code Search and Reuse for Better Program Repair QiXin.html StevenReiss.html
  117. yang:2018:GPTP Program Search for Machine Learning Pipelines Leveraging Symbolic Planning and Reinforcement Learning FangkaiYang.html StevenMGustafson.html AlexanderElkholy.html DaomingLyu.html BoLiu.html
  118. yang:2018:PNaA Distributed correlation model mining from remote sensing big data based on gene expression programming LechanYang.html ZhihaoQin.html
  119. zhang:2018:AJCAI Surrogate-Assisted Genetic Programming for Dynamic Flexible Job Shop Scheduling FangfangZhang.html YiMei.html MengjieZhang.html
  120. zhang:2018:MBEC An efficient model for auxiliary diagnosis of hepatocellular carcinoma based on gene expression programming LiZhang.html JiashengChen.html ChunmingGao.html ChuanmiaoLiu.html KuihuaXu.html


  1. 2 andre:1996:aigp2 Parallel Genetic Programming: A Scalable Implementation Using The Transputer Network Architecture DavidAndre.html JohnKoza.html
  2. 6 Androutsopoulos:2019:GPEM Evelyne Lutton, Nathalie Perrot, Alberto Tonda: Evolutionary algorithms for food science and technology KellyAndroutsopoulos.html
  3. 5 Assuncao:2019:GPEM DENSER: deep evolutionary network structured representation FilipeAssuncao.html NunoLourenco.html PenousalMachado.html BernardeteRibeiro.html
  4. 3 sbrn2000meta029 Symbolic Regression via Genetic Programming DouglasAAugusto.html HelioJCBarbosa.html
  5. 4 Azaria:2016:GPTP Evolving Artificial General Intelligence for Video Controllers ItayAzaria.html AchiyaElyasaf.html MosheSipper.html
  6. 1 Bakurov:2018:evoMusArt Non-photorealistic Rendering with Cartesian Genetic Programming Using Graphics Processing Units IllyaBakurov.html BrianJRoss.html
  7. 1 conf/isat/Bartczuk15 Gene Expression Programming in Correction Modelling of Nonlinear Dynamic Objects LukaszBartczuk.html
  8. 1 Bautu:2006:mmelsp Meteorological Data Analysis and Prediction by Means of Genetic Programming AndreiBautu.html ElenaBautu.html
  9. 1 Baykasoglu2008111 Prediction of compressive and tensile strength of limestone via genetic programming AdilBaykasoglu.html HamzaGullu.html HanifiCanakci.html LaleOzbakir.html
  10. 1 bennet:1999:astsaecGP Automatic Synthesis of the Topology and Sizing for Analog Electrical Circuits Using Genetic Programming ForrestBennett.html MartinAKeane.html DavidAndre.html JohnKoza.html
  11. 1 Bi:2018:evoApplications An Automatic Feature Extraction Approach to Image Classification Using Genetic Programming YingBi.html BingXue.html MengjieZhang.html
  12. 1 boulas_ground_2016 Ground Resistance Estimation using Genetic Programming KonstantinosBoulas.html ValiliosPAndrovitsaneas.html IoannisFGonos.html GeorgiosDounias.html IoannisAStathopulos.html
  13. 1 boulas_approximating_2017 Approximating Throughput of Small Production Lines Using Genetic Programming KonstantinosBoulas.html GeorgiosDounias.html ChrissoleonTPapadopoulos.html
  14. 1 Brum:2018:evocop Automatic Algorithm Configuration for the Permutation Flow Shop Scheduling Problem Minimizing Total Completion Time ArturFerreiraBrum.html MarcusRitt.html
  15. 4 Burks:2016:GPTP An Investigation of Hybrid Structural and Behavioral Diversity Methods in Genetic Programming ArmandRBurks.html WilliamFPunch.html
  16. 1 burlacu2018schema Schema Analysis in Tree-Based Genetic Programming BogdanBurlacu.html MichaelAffenzeller.html MichaelKommenda.html GabrielKronberger.html StephanMWinkler.html
  17. 2 series/sci/Calzada-LedesmaSDOVS17 Comparing Grammatical Evolution's Mapping Processes on Feature Generation for Pattern Recognition Problems ValentinCalzada-Ledesma.html HectorJPuga.html AlfonsoRojas-Dominguez.html ManuelOrnelas-Rodriguez.html JuanMartinCarpio-Valadez.html ClaudiaGuadalupeGomezSantillan.html
  18. 1 Cankorur-Cetinkaya:2017:MB CamOptimus: a tool for exploiting complex adaptive evolution to optimize experiments and processes in biotechnology AycaCankorur-Cetinkaya.html JoaoMLDias.html JanaKludas.html NigelKHSlater.html JuhoRousu.html StephenGOliver.html DuyguDikicioglu.html
  19. 1 Cavaglia:2017:APS LIGO detector characterization with genetic programming MarcoCavaglia.html KaiStaats.html LucianoErrico.html KentaroMogushi.html HunterGabbard.html
  20. 5 Chen:ieeeTEVC Structural Risk Minimisation-Driven Genetic Programming for Enhancing Generalisation in Symbolic Regression QiChen.html MengjieZhang.html BingXue.html
  21. 1 Chen:1999:ISAFM Hedging derivative securities with genetic programming Shu-HengChen.html Woh-ChiangLee.html ChiaHsuanYeh.html
  22. 2 Chen:2002:EJEMED Equilibrium Selection via Adaptation: Using Genetic Programming to Model Learning in a Coordination Game Shu-HengChen.html JohnDuffy.html ChiaHsuanYeh.html
  23. 1 Danglot:2018:sigevolution Dagstuhl: Seminar on Genetic Improvement of Software BenjaminDanglot.html
  24. 1 deSouza:2018:evocop Automatic Grammar-Based Design of Heuristic Algorithms for Unconstrained Binary Quadratic Programming MarcelodeSouza.html MarcusRitt.html
  25. 1 DeStefano:2011:MCS A Bayesian Approach for Combining Ensembles of GP Classifiers ClaudioDeStefano.html FrancescoRFontanella.html GianluigiFolino.html AlessandraScottodiFreca.html
  26. 2 Dolson:2017:GPTP Applying Ecological Principles to Genetic Programming EmilyDolson.html WolfgangBanzhaf.html CharlesOfria.html
  27. 3 DUFEK2017139 Application of evolutionary computation on ensemble forecast of quantitative precipitation AmandaSabatiniDufek.html DouglasAAugusto.html PedroLeitedaSilvaDias.html HelioJCBarbosa.html
  28. 1 Fajfar:2016:EC Evolving a Nelder-Mead Algorithm for Optimization with Genetic Programming IztokFajfar.html JanezPuhan.html ArpadBurmen.html
  29. 1 Fajfar:GPEM Grammatical evolution as a hyper-heuristic to evolve deterministic real-valued optimization algorithms IztokFajfar.html ArpadBurmen.html JanezPuhan.html
  30. 1 faris2016mgp MGP-CC: a hybrid multigene GP-Cuckoo search method for hot rolling manufacture process modelling HossamFaris.html AlaaSheta.html ErtanOznergiz.html
  31. 1 Fine:2017:GPTP Exploiting Subprograms in Genetic Programming StevenBFine.html ErikHemberg.html KrzysztofKrawiec.html Una-MayO'Reilly.html
  32. 1 Friese:2012:dortmund Ensemble-Based Model Selection for Smart Metering Data MartinaFriese.html OliverFlasch.html Ekaterina_Katya_Vladislavleva.html ThomasBartz-Beielstein.html OlafMersmann.html BorisNaujoks.html JoergStork.html MartinZaefferer.html
  33. 7 Garcia-Sanchez:2019:GPEM Georgios N. Yannakakis and Julian Togelius: Artificial Intelligence and Games PabloGarcia-Sanchez.html
  34. 1 EVL-2000-444 Evolving performance control systems for digital puppetry AndrewGildfind.html MichaelAGigante.html GhassanAl-Qaimari.html
  35. 1 gray:1998:GPcfs:aNMRshbtb Genetic programming for classification and feature selection: analysis of 1H nuclear magnetic resonance spectra from human brain tumour biopsies HelenGray.html RossJamesMaxwell.html IreneMartinez-Perez.html CarlesArus.html SebastianCerdan.html
  36. 1 Gustafson:2015:GPTP Using Genetic Programming for Data Science: Lessons Learned StevenMGustafson.html RamNarasimhan.html RaviPalla.html AishaYousuf.html
  37. 4 Gustafson:2016:GPTP Assisting Asset Model Development with Evolutionary Augmentation StevenMGustafson.html ArunSubramaniyan.html AishaYousuf.html
  38. 1 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
  39. 1 Haraldsson:2017:cwsbatfix Computers will soon be able to fix themselves - are IT departments for the chop? SaemundurOskarHaraldsson.html AlexanderEIBrownlee.html JohnRWoodward.html
  40. 6 Heaton:2019:GPEM Jeff Heaton Evolvingcontinuouscellularautomataforaestheticobjectives.html
  41. 4 Helmuth:2016:GPTP Linear Genomes for Structured Programs ThomasHelmuth.html LeeSpector.html NicholasFreitagMcPhee.html SaulShanabrook.html
  42. 4 Hemberg:2016:GPTP Investigating Multi population Competetive Coevolution for Anticipating of Tax Evasion ErikHemberg.html JacobRosen.html Una-MayO'Reilly.html
  43. 4 Hodjat:2016:GPTP PRETSL: Distributed Probabilistic Rule Evolution for Time-Series Classification BabakHodjat.html HormozShahrzad.html RistoMiikkulainen.html LawrenceMurray.html ChrisHolmes.html
  44. 3 Hu:2016:GPTP Neutrality, Robustness, and Evolvability in Genetic Programming TingHu.html WolfgangBanzhaf.html
  45. 1 Iba:2018:book Evolutionary Approach to Machine Learning and Deep Neural Networks HitoshiIba.html
  46. 2 Jia:Picassevo Picassevo YueJia.html
  47. 1 Jones:1998:qmpmalssl Quantification of microbial productivity via multi-angle light scattering and supervised learning AlunJones.html DaniellaYoung.html JanetTaylor.html DouglasBKell.html JemJRowland.html
  48. 1 Kaboudan:1999:mtspGP A Measure of Time Series' Predictability Using Genetic Programming Applied to Stock Returns MahmoudAKaboudan.html
  49. 1 Young-MinKang:1999:echraephm An efficient control over human running animation with extension of planar hopper model Young-MinKang.html Hwan-GueCho.html Ee-TaekLee.html
  50. 4 keijzer:2001:thesis Scientific Discovery using Genetic Programming MaartenKeijzer.html
  51. 1 Kendall:2018:Conversation Evolutionary computation has been promising self-programming machines for 60 years - so where are they? GrahamKendall.html
  52. 6 Kim:2019:GPEM Software review: DEAP (Distributed Evolutionary Algorithm in Python) library JinhanKim.html ShinYoo.html
  53. 1 Kinneer:2018:SEAMS Managing Uncertainty in Self-Adaptive Systems with Plan Reuse and Stochastic Search CodyKinneer.html ZackCoker.html JiachengWang.html DavidGarlan.html ClaireLeGoues.html
  54. 3 Kocnova:2019:EuroGP Towards a Scalable EA-based Optimization of Digital Circuits JitkaKocnova.html ZdenekVasicek.html
  55. 1 PolyfinicJAR Genetic Programming + Proof Search = Automatic Improvement ZoltanKocsis.html JerrySwan.html
  56. 20 Korns:2016:GPTP An Evolutionary Algorithm for Big Data Multi-class Classification Problems MichaelKorns.html
  57. 1 Korns:2017:GPTP Genetic Programming Symbolic Classification: A Study MichaelKorns.html
  58. 6 koza:1997:ascc Automated Synthesis of Computational Circuits Using Genetic Programming JohnKoza.html ForrestBennett.html JasonLohn.html FrankDunlap.html MartinAKeane.html DavidAndre.html
  59. 1 Lane:2014:AISB Evolving process-based models from psychological data using genetic programming PeterCRLane.html PeterDSozou.html MarkAddis.html FernandGobet.html
  60. 1 doerr_et_al:DR:2017:8279_page36 Convergence in Genetic Programming WilliamBLangdon.html
  61. 1 doerr_et_al:DR:2017:8279_page37 Landscape of the Triangle Program WilliamBLangdon.html
  62. 4 langdon:2019:ieeeblog Software Improvement by Data Improvement WilliamBLangdon.html
  63. 1 langdon:2019:EuroGP Evolving AVX512 Parallel C Code using GP WilliamBLangdon.html RonnyLorenz.html
  64. 3 Lensen:2019:EuroGP Can Genetic Programming Do Manifold Learning Too? AndrewLensen.html BingXue.html MengjieZhang.html
  65. 1 Linkola:2018:evoMusArt On Collaborator Selection in Creative Agent Societies: An Evolutionary Art Case Study SimoLinkola.html OttoHantula.html
  66. 1 Lissovoi:2018:AAAI On the Time and Space Complexity of Genetic Programming for Evolving Boolean Conjunctions AndreiLissovoi.html PietroSOliveto.html
  67. 1 Fang_Liu:thesis Nature inspired computational intelligence for financial contagion modelling FangLiu.html
  68. 1 Liu:2018:evoApplications Adapting Bagging and Boosting to Learning Classifier Systems YiLiu2.html WillNBrowne.html BingXue.html
  69. 8 Lopez-Lopez:2019:SC Applying Genetic Improvement to a Genetic Programming library in C++ VictorRaulLopezLopez.html LeonardoTrujillo.html PierrickLegrand.html
  70. 55 Lu:2018:ieeeTC Genetic Programming for Energy-Efficient and Energy-Scalable Approximate Feature Computation in Embedded Inference Systems Jie_Lucy_Lu.html HongyangJia.html NaveenVerma.html NirajKJha.html
  71. 1 Masood:2018:evocop Reference Point Adaption Method for Genetic Programming Hyper-Heuristic in Many-Objective Job Shop Scheduling AtiyaMasood.html GangChen2.html YiMei.html MengjieZhang.html
  72. 3 McDermott:2019:EuroGP Why is Auto-Encoding Difficult for Genetic Programming? JamesMcDermott.html
  73. 4 McPhee:2016:GPTP A detailed analysis of a PushGP run NicholasFreitagMcPhee.html MitchellFinzel.html MaggieMCasale.html ThomasHelmuth.html LeeSpector.html
  74. 6 Medvet:GPEM Designing automatically a representation for grammatical evolution EricMedvet.html AlbertoBartoli.html AndreaDeLorenzo.html FabianoTarlao.html
  75. 11 conf/kes/MinarikS11 Evolution of Iterative Formulas Using Cartesian Genetic Programming MilosMinarik.html LukasSekanina.html
  76. 1 Miragaia:2018:evoApplications CGP4Matlab A Cartesian Genetic Programming MATLAB Toolbox for Audio and Image Processing RolandoMiragaia.html GustavoMiguelJorgedosReis.html FranciscoFernandezdeVega.html TiagoJoaoLeiteInacio.html CarlosGrilo.html
  77. 1 Miras:2018:evoApplications Search Space Analysis of Evolvable Robot Morphologies KarinedaSilvaMirasdeAraujo.html EvertHaasdijk.html KyrreHaraldGlette.html GuszEiben.html
  78. 5 Moore:2019:GPEM Automated discovery of test statistics using genetic programming JasonHMoore.html RandalSOlson.html YongChen.html MosheSipper.html
  79. 1 Moskowitz:2018:GPEM Implementing the template method pattern in genetic programming for improved time series prediction DavidMoskowitz.html
  80. 1 Nicolau:libGE libGE MiguelNicolau.html DarwinSlattery.html
  81. 1 nordin:1999:gp3 Genetic Programming III - Darwinian Invention and Problem Solving PeterNordin.html
  82. 1 Nyathi:2018:TPNC Automated Design of Genetic Programming Classification Algorithms for Financial Forecasting Using Evolutionary Algorithms ThamboNyathi.html NelishiaPillay.html
  83. 3 Oliveira:2016:GPTP A Generic Framework for Building Dispersion Operators in the Semantic Space LuizOtavioVilasBoasOliveira.html FernandoEstebanBarrilOtero.html GiseleLPappa.html
  84. 4 Olson2016GPTP Identifying and Harnessing the Building Blocks of Machine Learning Pipelines for Sensible Initialization of a Data Science Automation Tool RandalSOlson.html JasonHMoore.html
  85. 1 Olson:2017:GPTP A System for Accessible Artificial Intelligence RandalSOlson.html MosheSipper.html WilliamLaCava.html SharonTartarone.html StevenVitale.html WeixuanFu.html PatrykOrzechowski.html RyanJUrbanowicz.html JohnHHolmes.html JasonHMoore.html
  86. 1 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
  87. 1 Picek:2017:GPTP One-Class Classification of Low Volume DoS Attacks with Genetic Programming StjepanPicek.html ErikHemberg.html DomagojJakobovic.html Una-MayO'Reilly.html
  88. 1 Poli:2013:TPMDM Parsimony Pressure Made Easy: Solving the Problem of Bloat in GP RiccardoPoli.html NicholasFreitagMcPhee.html
  89. 2 Ranasinghe:thesis Prediction of the Effectiveness of Rolling Dynamic Compaction Using Artificial Intelligence Techniques and In Situ Soil Test Data RanasingheArachchilageTharangaMadhushaniRanasinghe.html
  90. 1 Romero_2011 An evolutionary behavioral model for decision making OscarJavierRomeroLopez.html
  91. 1 Saber:2018:TPNC A Hierarchical Approach to Grammar-Guided Genetic Programming: The case of Scheduling in Heterogeneous Networks TakfarinasSaber.html DavidFagan.html DavidLynch.html StepanKucera.html HolgerClaussen.html MichaelO'Neill.html
  92. 1 Saghiri:2017:GPEM A closed asynchronous dynamic model of cellular learning automata and its application to peer-to-peer networks AliMohammadSaghiri.html MohammadRezaMeybodi.html
  93. 1 Samui:2015:hbgpa Site Characterization Using GP, MARS and GPR PijushSamui.html YildirimDalkilic.html JJagan.html
  94. 1 SARANYA:2018:AEJ Model level code smell detection using EGAPSO based on similarity measures GSaranya.html HKhannaNehemiah.html AKannan.html VNithya.html
  95. 2 shtovba_fast_2004 A fast genetic algorithm for optimizing the checking-retrofit procedures in multidimensional technological processes SerhiDShtovba.html OMKozachko.html GeorgiosDounias.html
  96. 3 Sipper:2017:arxiv From MEGATON to RASCAL: Surfing the Parameter Space of Evolutionary Algorithms MosheSipper.html WeixuanFu.html KarunaAhuja.html JasonHMoore.html
  97. 1 Sivapragasam:2010:HP Reply to comment on ``Sivapragasam C, Maheswaran R, Venkatesh V. 2008. Genetic programming approach for flood routing in natural channels. Hydrological Processes 22: 623-628'' CSivapragasam.html RathinasamyMaheswaran.html VeenaVenkatesh.html
  98. 1 Spector:2017:GPTP Relaxations of Lexicase Parent Selection LeeSpector.html WilliamLaCava.html SaulShanabrook.html ThomasHelmuth.html EdwardRPantridge.html
  99. 1 Spector:2017:GPEM Introduction to the peer commentary special section on ``On the Mapping of Genotype to Phenotype in Evolutionary Algorithms'' by Peter A. Whigham, Grant Dick, and James Maclaurin LeeSpector.html
  100. 1 Stone:2018:evoApplications Automatic Generation of Constructive Heuristics for Multiple Types of Combinatorial Optimisation Problems with Grammatical Evolution and Geometric Graphs ChristopherStone.html EmmaHart.html BenPaechter.html
  101. 1 Suganuma:2017:GECCO A Genetic Programming Approach to Designing Convolutional Neural Network Architectures MasanoriSuganuma.html ShinichiShirakawa.html TomoharuNagao.html
  102. 4 Swan:2016:GPTP Discovering Relational Structure in Program Synthesis Problems with Analogical Reasoning JerrySwan.html KrzysztofKrawiec.html
  103. 1 Tahmassebi:2017:GPTP Genetic Programming Based on Error Decomposition: A Big Data Approach AmirhessamTahmassebi.html AHGandomi.html
  104. 2 kinnear:teller The Evolution of Mental Models AstroTeller.html
  105. 1 Troise:2017:GPTP Lexicase Selection with Weighted Shuffle SarahAnneTroise.html ThomasHelmuth.html
  106. 3 Trujillo:2016:GPTP Local Search is Underused in Genetic Programming LeonardoTrujillo.html EmigdioZ-Flores.html PerlaSarahiJuarez-Smith.html PierrickLegrand.html SaraSilva.html MauroCastelli.html LeonardoVanneschi.html OliverSchuetze.html LuisMunozDelgado.html
  107. 1 tsakonas_role_2000 The Role of Genetic Algorithms and Wavelets in Computational Intelligence-based Decision Support for Stock Exchange Daily Trading AthanasiosDTsakonas.html GeorgiosDounias.html AMerikas.html
  108. 1 tsakonas_how_2001 How wavelets and genetic algorithms can assist Intelligent Hybrid Methodologies in handling data driven Stock Exchange daily trading AthanasiosDTsakonas.html GeorgiosDounias.html AMerikas.html
  109. 1 tsang:1998:eddie EDDIE beats the bookies EdwardPKTsang.html JinLi.html JamesMButler.html
  110. 1 Urbanowicz:2017:GPTP Problem Driven Machine Learning by Co-evolving Genetic Programming Trees and Rules in a Learning Classifier System RyanJUrbanowicz.html BenjaminYang.html JasonHMoore.html
  111. 1 vanneschi:2017:CECb Geometric semantic genetic programming for biomedical applications: A state of the art upgrade LeonardoVanneschi.html MauroCastelli.html IvoGoncalves.html LucaManzoni.html SaraSilva.html
  112. 1 Veerapen:2018:GPEM Visualising the global structure of search landscapes: genetic improvement as a case study NadarajenVeerapen.html GabrielaOchoa.html
  113. 5 voss:2002:gecco A New Methodology For Emergent System Identification Using Particle Swarm Optimization (PSO) And The Group Mehtod Data Handling (GMDH) MarkSVoss.html XinFeng.html
  114. 1 White:2017:evoApplications Integration of Reaction Kinetics Theory and Gene Expression Programming to Infer Reaction Mechanism JasonRWhite.html RanjanSrivastava.html
  115. 11 Wiglasz:2017:GlobalSIP Evolutionary Approximation of Gradient Orientation Module in HOG-based Human Detection System MichalWiglasz.html LukasSekanina.html
  116. 15 Wiglasz:2018:ieeeCompIntl Cooperative Coevolutionary Approximation in HOG-based Human Detection Embedded System MichalWiglasz.html LukasSekanina.html
  117. 14 Willis:2008:gecco GP age-layer and crossover effects in bid-offer spread prediction AmyWillis.html SuneerPatel.html ChristopherDClack.html
  118. 4 Winkler:2016:GPTP Similarity-based Analysis of Population Dynamics in Genetic Programming Performing Symbolic Regression StephanMWinkler.html MichaelAffenzeller.html BogdanBurlacu.html GabrielKronberger.html MichaelKommenda.html PhilippFleck.html
  119. 1 Wong:2001:DSS A Flexible Knowledge Discovery System using Genetic Programming and Logic Grammars ManLeungWong.html
  120. 1 Yamamoto:2011:EPIA Evolving Reaction-Diffusion Systems on GPU LidiaYamamoto.html WolfgangBanzhaf.html PierreCollet.html
  121. 5 Yin:GPEM A genetic programming approach for delta hedging ZhengYin.html AnthonyBrabazon.html ConallO'Sullivan.html PhilipAHamill.html
  122. 1 6329 Predictive Maintenance for Transport Systems - Employing Model Ensembles for Online State Detection JanZenisek.html MichaelAffenzeller.html ChristophSievi.html MathiasSilmbroth.html JosefWolfartsberger.html
  123. 1 Zhao:2017:GPTP Evolution of Space-Partitioning Forest for Anomaly Detection ZhiruoZhao.html StuCard.html KishanGMehrotra.html ChilukuriKMohan.html

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