Changes to Genetic Programing Bibliography since 2020/11/28

New and modified entries

New

  1. Al-Sahaf:EC Automatically Evolving Texture Image Descriptors using the Multi-tree Representation in Genetic Programming using Few Instances HarithAl-Sahaf.html AusamaAl-Sahaf.html BingXue.html MengjieZhang.html
  2. Alvarez-Diaz:2020:EE Is it possible to accurately forecast the evolution of Brent crude oil prices? An answer based on parametric and nonparametric forecasting methods MarcosAlvarez-Diaz.html
  3. coreyes2021evolving Evolving Reinforcement Learning Algorithms JohnDCo-Reyes.html YingjieMiao.html DaiyiPeng.html EstebanReal.html SergeyLevine.html QuocVLe.html HonglakLee.html AleksandraFaust.html
  4. Crosbie:IDIOT IDIOT - Users Guide MarkCrosbie.html BrynDole.html ToddEllis.html IvanKrsul.html EugeneHSpafford.html
  5. deFranca:EC Interaction-Transformation Evolutionary Algorithm for Symbolic Regression FabricioOlivettideFranca.html GuilhermeSeidyoImaiAldeia.html
  6. Eddeen:2014:CSIT Genetic Hash Algorithm LubnaMHNasirEddeen.html EmanMSaleh.html Doa'aSaadah.html
  7. Guizzo:ieeeTSE Sentinel: A Hyper-Heuristic for the Generation of Mutant Reduction Strategies GiovaniGuizzo.html FedericaSarro.html JensKrinke.html SilviaReginaVergilio.html
  8. faucris.112822204 Fast Evolutionary Algorithms: Comparing High Performance Capabilities of CPUs and GPUs JohannesHofmann.html DietmarFey.html
  9. Kadlec:thesis On robust and adaptive soft sensors PetrKadlec.html
  10. Khanchi:thesis Stream Genetic Programming for Botnet Detection SaraKhanchi.html
  11. Thesis_KIALA Remote sensing of invasive plant species: Optimization of Sentinel-2 and Landsat 8 imagery for enhanced mapping of the invasive Parthenium hysterophorus in South Africa ZoloZimeZinuSergeKiala.html
  12. kidon:2017:CEC Evolutionary design of hash functions for IP address hashing using genetic programming MarekKidon.html RolandDobai.html
  13. koza:video Genetic Programming: The Movie JohnKoza.html JamesPRice.html
  14. koza:video4 Genetic Programming IV Video: Human-Competitive Machine Intelligence JohnKoza.html MartinAKeane.html MatthewJStreeter.html WilliamJMydlowec.html JessenYu.html GuidoLanza.html DavidFletcher.html
  15. koza:2009:gpt Automated Design Using Darwinian Evolution and Genetic Programming JohnKoza.html
  16. Mostafavi:2013:ECM A novel machine learning approach for estimation of electricity demand: An empirical evidence from Thailand ElhamSadatMostafavi.html SeyyedImanMostafavi.html ArefehJaafari.html FaribaHosseinpour.html
  17. Ritter:2020:PLDI PMEvo: Portable Inference of Port Mappings for out-of-Order Processors by Evolutionary Optimization FabianRitter.html SebastianHack.html
  18. Sani:thesis Substructural Analysis Using Evolutionary Computing Techniques NorSamsiahSani.html
  19. DBLP:journals/corr/abs-1904-02830 An Evolutionary Framework for Automatic and Guided Discovery of Algorithms RuchiraSasanka.html KonstantinosKrommydas.html
  20. Sasanka:2020:CF An Evolutionary Framework for Automatic and Guided Discovery of Algorithms RuchiraSasanka.html KonstantinosKrommydas.html
  21. Schkufza:thesis Stochastic program optimization for x86-64 binaries EricSchkufza.html
  22. Sharma:GPEM An enhanced Huffman-PSO based image optimization algorithm for image steganography NehaSharma.html UshaBatra.html
  23. Soderlund:2016:PPSN Parallel Hierarchical Evolution of String Library Functions JacobNilsZwiSoderlund.html DarwinVickers.html AlanBlair.html
  24. Watson:thesis An investigation of evolutionary computing in systems identification for preliminary design AndrewHWatson.html
  25. Fangfang_Zhang:ieeeTCyber Evolving Scheduling Heuristics via Genetic Programming With Feature Selection in Dynamic Flexible Job-Shop Scheduling FangfangZhang.html YiMei.html SuNguyen.html MengjieZhang.html

Modified

  1. 1 2018:MITtechreview Intelligent Machines Evolutionary algorithm outperforms deep-learning machines at video games
  2. 7 AbuDalhoum:2005:ESM A Genetic Algorithm for Solving the P-Median Problem AbdelLatifAbuDalhoum.html AlaMAl-Zoubi.html MarinadelaCruzEcheandia.html AlfonsoOrtegadelaPuente.html ManuelAlfonseca.html
  3. 1 Al-Helali:2020:CEC Genetic Programming with Noise Sensitivity for Imputation Predictor Selection in Symbolic Regression with Incomplete Data BalighAl-Helali.html QiChen.html BingXue.html MengjieZhang.html
  4. 26 Al-Helali:2020:CEC2 Multi-Tree Genetic Programming-based Transformation for Transfer Learning in Symbolic Regression with Highly Incomplete Data BalighAl-Helali.html QiChen.html BingXue.html MengjieZhang.html
  5. 1 Alavi:2013:MWGTE Linear and Tree-Based Genetic Programming for Solving Geotechnical Engineering Problems AHAlavi.html AHGandomi.html AliMollahasani.html JafarBolouriBazaz.html
  6. 2 Aldeia:2020:CEC A Parametric Study of Interaction-Transformation Evolutionary Algorithm for Symbolic Regression GuilhermeSeidyoImaiAldeia.html FabricioOlivettideFranca.html
  7. 33 almarimi2020community On the Detection of Community Smells using Genetic Programming-based Ensemble Classifier Chain NuriAlmarimi.html AliOuni.html MoatazChouchen.html IslemSaidani.html MohamedWiemMkaouer.html
  8. 4 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
  9. 2 An2017aa PyGGI: Python General framework for Genetic Improvement GabinAn.html JinhanKim.html SeongminLee.html ShinYoo.html
  10. 1 Ardeh:2020:CEC Genetic Programming Hyper-Heuristics with Probabilistic Prototype Tree Knowledge Transfer for Uncertain Capacitated Arc Routing Problems MazharAnsariArdeh.html YiMei.html MengjieZhang.html
  11. 1 Azamathulla:2012:JH GP approach for critical submergence of intakes in open channel flows HaziMohammadAzamathulla.html ZAhmad.html
  12. 1 Azamathulla:2013:MWGTE A Review on Application of Soft Computing Methods in Water Resources Engineering HaziMohammadAzamathulla.html
  13. 11 Balic:2002:EAAI An on-line predictive system for steel wire straightening using genetic programming JozeBalic.html MihaNastran.html
  14. 6 Bartoli:2019:ieeeTCyber Weighted Hierarchical Grammatical Evolution AlbertoBartoli.html MauroCastelli.html EricMedvet.html
  15. 1 Batista:2020:CEC Improving the Detection of Burnt Areas in Remote Sensing using Hyper-features Evolved by M3GP JoaoEBatista.html SaraSilva.html
  16. 2 Baudry:2018:GI A spoonful of DevOps helps the GI Go Down BenoitBaudry.html NicolasYvesMauriceHarrand.html EricSchulte.html ChristopherTimperley.html ShinHweiTan.html MarijaSelakovic.html EmamurhoUgherughe.html
  17. 2 Bautu20081 Symbolic approach for the generalized airfoil equation ElenaBautu.html ElenaPelican.html
  18. 1 bennett:1999:SCASE Darwinian Programming and Engineering Design using Genetic Programming ForrestBennett.html JohnKoza.html MartinAKeane.html DavidAndre.html
  19. 2 bentley:1999:EA Evolving fuzzy detectives: An investigation into the evolution of fuzzy rules PeterJBentley.html
  20. 4 Bentley:1999:WSC Evolving fuzzy detectives: an investigation into the evolution of fuzzy rules PeterJBentley.html
  21. 1 Bi:2020:CEC Genetic Programming-Based Feature Learning for Facial Expression Classification YingBi.html BingXue.html MengjieZhang.html
  22. 7 Bi:2020:TEVC Genetic Programming with Image-Related Operators and A Flexible Program Structure for Feature Learning in Image Classification YingBi.html BingXue.html MengjieZhang.html
  23. 4 Bi:2020:CYB Genetic Programming With a New Representation to Automatically Learn Features and Evolve Ensembles for Image Classification YingBi.html BingXue.html MengjieZhang.html
  24. 1 blickle:1995:css A Comparison of Selection Schemes Used in Genetic Algorithms TobiasBlickle.html LotharThiele.html
  25. 1 bojarczuk:2001:idamap Data mining with constrained-syntax genetic programming: applications to medical data sets CeliaCristinaBojarczuk.html HeitorSilverioLopes.html AlexAlvesFreitas.html
  26. 1 Bokhari:2020:CEC A Genetic Programming-based Multi-objective Optimization Approach to Data Replication Strategies for Distributed Systems SyedMohtashimAbbasBokhari.html OliverTheel.html
  27. 1 Borcheninov:2012:SYRCoSE Internal and online simplification in genetic programming: an experimental comparison YaroslavVBorcheninov.html YuriSOkulovsky.html
  28. 3 Brownlee:2020:CEC Injecting Shortcuts for Faster Running Java Code AlexanderEIBrownlee.html JustynaPetke.html AnnaFRasburn.html
  29. 2 Chakraborti:2015:csdc Data-driven paradigms of EvoNN and BioGP NirupamChakraborti.html
  30. 1 Chaturvedi:2020:CEC Genetic Programming for Domain Adaptation in Product Reviews ItiChaturvedi.html ErikCambria.html SandroCavallari.html RoyEWelsch.html
  31. 2 Jiah-ShingChen:2003:CINC Multi-Valued Stock Valuation Based on Fuzzy Genetic Programming Approach Jiah-ShingChen.html Ping-ChenLin.html
  32. 1 Chen:2020:CEC A Data-Driven Genetic Programming Heuristic for Real-World Dynamic Seaport Container Terminal Truck Dispatching XinanChen.html RuibinBai.html RongQu.html HaiboDong.html JianjunChen.html
  33. 5 IREA202001 Economic determinants of employment sentiment: A socio-demographic analysis for the euro area OscarClaveriaGonzalez.html IvanaLolic.html EnricMonteMoreno.html SalvadorTorra.html PetarSoric.html
  34. 6 oai:CiteSeerPSU:265557 Defending a Computer System using Autonomous Agents MarkCrosbie.html EugeneHSpafford.html
  35. 1 Das:2017:NASAmlw Using Machine Learning to Study the Effects of Climate on the Amazon Rainforests KamalikaDas.html
  36. 1 Dash:2020:GI Checkers: Multi-modal Darwinian API Optimisation SantanuKumarDash.html FanWu.html MichailBasios.html LingboLi.html LeslieKanthan.html
  37. 2 da-Silva:2020:CEC Inferring Gene Regulatory Network Models from Time-Series Data Using Metaheuristics JoseEduardoHenriquesdaSilva.html HederSoaresBernardino.html HelioJCBarbosa.html AlexBorgesVieira.html LucianaConceicaoDiasCampos.html ItamarLeitedeOliveira.html
  38. 1 Davies:2000:AEMB Efficient improvement of silage additives by using genetic algorithms ZoeSDavies.html RichardJGilbert.html RogerJMerry.html DouglasBKell.html MichaelKTheodorou.html GarethWGriffith.html
  39. 2 deFreitas:2014:CILAMCE Aplica\cc\~ao de uma programa\cc\~ao gen\'etica gramatical na infer\^encia da m\'axima deforma\cc\~ao longitudinal de dutos com amassamento JoaoMarcosdeFreitas.html MarcusViniciusSilva.html HederSoaresBernardino.html JoaoNisanCorreiaGuerreiro.html HelioJCBarbosa.html
  40. 1 Demirbilek:thesis Machine learning based perceived quality estimation models in realtime communications EdipDemirbilek.html
  41. 1 DiChio:2006:evophd Extended Particle Swarm to Simulate Biology-Like Systems CeciliaDiChio.html
  42. 7 Divina:thesis Hybrid Genetic Relational Search for Inductive Learning FedericoDivina.html
  43. 1 dolado:1999:lmsce Limits to the Methods in Software Cost Estimation JoseJavierDoladoCosin.html
  44. 30 Drust-Nacarino_2015_Antioquia Drought and genetic programming to approach annual agriculture production normalized curves AriadneSofiaDrust-Nacarino.html MaritzaLilianaArganisJuarez.html RodolfoSilva-Casarin.html EdgarGerardoMendoza-Baldwin.html OscarArturoFuentes-Mariles.html
  45. 3 Dziurzanski:2020:CEC Empirical Analysis of 1-edit Degree Patches in Syntax-Based Automatic Program Repair PiotrDziurzanski.html SimosGerasimou.html DimitrisKolovos.html NicholasMatragkas.html
  46. 2 Evans:2020:CEC An Adaptive and Near Parameter-free Evolutionary Computation Approach Towards True Automation in AutoML BenjaminEvans.html BingXue.html MengjieZhang.html
  47. 1 Fan:2020:CEC A Region Adaptive Image Classification Approach Using Genetic Programming QinglanFan.html BingXue.html MengjieZhang.html
  48. 2 feldt:1999:GPxtxsdp Genetic Programming as an Explorative Tool in Early Software Development Phases RobertFeldt.html
  49. 1 Fenton:EC Towards Automation \& Augmentation of the Design of Schedulers for Cellular Communications Networks MichaelFenton.html DavidLynch.html DavidFagan.html StepanKucera.html HolgerClaussen.html MichaelO'Neill.html
  50. 2 ferreira:2004:rdbic Gene expression programming and the automatic evolution of computer programs CandidaFerreira.html
  51. 1 Ferreira:2020:CEC Applying Genetic Programming to Improve Interpretability in Machine Learning Models LeonardoAugustoFerreira.html FredericoGadelhaGuimaraes.html RodrigoCesarPedrosaSilva.html
  52. 1 Filho:2020:CEC Explaining Symbolic Regression Predictions RenatoMirandaFilho.html AnisioLacerda.html GiseleLPappa.html
  53. 4 fukunaga:els:gecco2004 Evolving Local Search Heuristics for SAT Using Genetic Programming AlexSFukunaga.html
  54. 33 Gai:2017:ieeeCLOUD Cost-Aware Multimedia Data Allocation for Heterogeneous Memory Using Genetic Algorithm in Cloud Computing KekeGai.html MeikangQiu.html HuiZhao.html
  55. 4 Gandomi:2018:Biocene Evolutionary Data Mining in Aerospace AHGandomi.html
  56. 1 oai:cds.cern.ch:2255146 Applying natural evolution for solving computational problems - Lecture 2 DanielLanzaGarcia.html
  57. 1 Geng:2020:CEC Sports Games Modeling and Prediction using Genetic Programming ShengkaiGeng.html TingHu.html
  58. 2 Gonzalez:2020:CEC Improved Training Speed, Accuracy, and Data Utilization Through Loss Function Optimization SantiagoGonzalez.html RistoMiikkulainen.html
  59. 1 grinan:2020:CEC Generating Tree Inputs For Testing Using Evolutionary Computation Techniques DavidGrinan.html AlfredoIbias.html
  60. 5 Grochol:2020:CEC Evolutionary Design of Hash Functions for IPv6 Network Flow Hashing DavidGrochol.html LukasSekanina.html
  61. 2 Hammami:2020:CEC Class Dependent Feature Construction as a Bi-level optimization Problem MarwaHammami.html SlimBechikh.html MohamedMakhlouf.html Chih-ChengHung.html LamjedBenSaid.html
  62. 1 Harada:2020:CEC Proposal of Multimodal Program Optimization Benchmark and Its Application to Multimodal Genetic Programming TomohiroHarada.html KeiMurano.html RuckThawonmas.html
  63. 1 Helmuth:2017:GECCO Improving Generalization of Evolved Programs Through Automatic Simplification ThomasHelmuth.html NicholasFreitagMcPhee.html EdwardRPantridge.html LeeSpector.html
  64. 19 Hrbacek:2014:GECCO Towards highly optimized cartesian genetic programming: from sequential via SIMD and thread to massive parallel implementation RadekHrbacek.html LukasSekanina.html
  65. 1 Hu:2020:GP EuroGP 2020: Proceedings of the 23rd European Conference on Genetic Programming TingHu.html NunoLourenco.html EricMedvet.html
  66. 2 Hughes:2020:CEC Gait Model Analysis of Parkinson's Disease Patients under Cognitive Load JamesAlexanderHughes.html SheridanHoughten.html JosephAlexanderBrown.html
  67. 5 Husa:2020:CEC Evolving Cryptographic Boolean Functions with Minimal Multiplicative Complexity JakubHusa.html LukasSekanina.html
  68. 5 Jabeen:2020:CEC AutoChef: Automated Generation of Cooking Recipes HajiraJabeen.html JonasWeinz.html JensLehmann.html
  69. 5 Jackson:2020:CEC Genetic Programming Hyper-heuristic with Cluster Awareness for Stochastic Team Orienteering Problem with Time Windows JerichoJackson.html YiMei.html
  70. 2 Jericho:2020:CEC Genetic Programming Hyper-heuristic with Cluster Awareness for Stochastic Team Orienteering Problem with Time Windows JacksonJericho.html YiMei.html
  71. 3 Johnson:2015:gi Fitness as Task-relevant Information Accumulation ColinGJohnson.html JohnRWoodward.html
  72. 1 Kaboudan:2005:CIEF Computational Forecasting of Two Exchange Rates MahmoudAKaboudan.html
  73. 4 Kadlec2009795 Data-driven Soft Sensors in the process industry PetrKadlec.html BogdanGabrys.html SibylleStrandt.html
  74. 5 Kattan:thesis Evolutionary Synthesis of Lossless Compression Algorithms: the GP-zip Family AhmedKattan.html
  75. 1 Kaufmann:2020:CEC On the Parameterization of Cartesian Genetic Programming PaulKaufmann.html RomanKalkreuth.html
  76. 11 Kim:IEEEgames Testing a Protocol for Characterizing Game Playing Agents Trained via Evolution on a New Game Eun-YounKim.html DanielAshlock.html
  77. 2 kinnear:intro A perspective on the Work in this Book KennethEKinnearJr.html
  78. 3 Kovacic:2011:QUALITY Modeling of Cracks Presence in Steel After Hot Rolling MihaKovacic.html KatjaMackosek.html AndrejMihevc.html TomazMarolt.html
  79. 2 155-kovacic Natural gas prediction in Slovenian industry using genetic programming - case studies MihaKovacic.html BozidarSarler.html FranjoDolenc.html
  80. 1 Kovacic:2017:MOTSP Genetic programming and Store Steel Ltd. MihaKovacic.html
  81. 1 Kovacic:2019:MTAEC9 Roll wear modeling using genetic programming -- industry case study MihaKovacic.html AndrejMihevc.html MilanTercelj.html
  82. 3 Koza:1991:ALvid A genetic approach to artificial intelligence JohnKoza.html JamesPRice.html
  83. 5 koza:book Genetic Programming: On the Programming of Computers by Means of Natural Selection JohnKoza.html
  84. 5 koza:gp2 Genetic Programming II: Automatic Discovery of Reusable Programs JohnKoza.html
  85. 6 koza:video2 Genetic Programming II Videotape: The next generation JohnKoza.html
  86. 6 koza:gp3 Genetic Programming III: Darwinian Invention and Problem Solving JohnKoza.html DavidAndre.html ForrestBennett.html MartinAKeane.html
  87. 11 koza:video3 Genetic Programming III Videotape: Human Competitive Machine Intelligence JohnKoza.html ForrestBennett.html DavidAndre.html MartinAKeane.html ScottBrave.html
  88. 2 koza:gp4 Genetic Programming IV: Routine Human-Competitive Machine Intelligence JohnKoza.html MartinAKeane.html MatthewJStreeter.html WilliamJMydlowec.html JessenYu.html GuidoLanza.html
  89. 2 koza:2003:gpt A Genetic Programming Tutorial JohnKoza.html RiccardoPoli.html
  90. 5 koza:2005:gpt Genetic Programming JohnKoza.html RiccardoPoli.html
  91. 3 langdon:2003:normal The distribution of Reversible Functions is Normal WilliamBLangdon.html
  92. 1 langdon:2008:eurogp A SIMD Interpreter for Genetic Programming on GPU Graphics Cards WilliamBLangdon.html WolfgangBanzhaf.html
  93. 1 langdon:2020:cec Genetic Improvement of Genetic Programming WilliamBLangdon.html
  94. 1 langdon:2020:small_mem_ga_2pages Multi-threaded Memory Efficient Crossover in C++ for Generational Genetic Programming WilliamBLangdon.html
  95. 6 Lensen:EC Genetic Programming for Evolving Similarity Functions for Clustering: Representations and Analysis AndrewLensen.html BingXue.html MengjieZhang.html
  96. 3 XiangLi:thesis Utilising Restricted For-Loops in Genetic Programming XiangLi.html
  97. 1 Lima:2020:CEC A Symmetric grammar approach for designing segmentation models RicardoHenriqueRemesdeLima.html AuroraTrinidadRamirezPozo.html AlexanderMendiburu.html RobertoSantana.html
  98. 1 Liu:2020:CEC Data-Driven Regular Expressions Evolution for Medical Text Classification Using Genetic Programming JiandongLiu.html RuibinBai.html ZhengLu.html PeimingGe.html UweAickelin.html DaoyunLiu.html
  99. 5 Looks:thesis Competent Program Evolution MosheLooks.html
  100. 1 machado:2004:rdbic Evolutionary Turing machines: The quest for busy beavers PenousalMachado.html FranciscoJoseBaptistaPereira.html JorgeTavares.html ErnestoCosta.html FAmilcarCardoso.html
  101. 9 MacLachlan:ECJ:gphh Genetic Programming Hyper-Heuristics with Vehicle Collaboration for Uncertain Capacitated Arc Routing Problems JordanMacLachlan.html YiMei.html JurgenBranke.html MengjieZhang.html
  102. 1 Manzi:2020:CEC Discovering Unmodeled Components in Astrodynamics with Symbolic Regression MatteoManzi.html MassimilianoVasile.html
  103. 23 DBLP:conf/aiide/Marino19 Learning Strategies for Real-Time Strategy Games with Genetic Programming JulianRHMarino.html
  104. 2 Mashiane:2014:PRASA Genetic Programming for Password Cracking, Phase One: Grammar Induction ThulaniMashiane.html NelishiaPillay.html
  105. 5 Masood:2020:CEC A Fitness-based Selection Method for Pareto Local Search for Many-Objective Job Shop Scheduling AtiyaMasood.html GChen.html YMei.html HarithAl-Sahaf.html MengjieZhang.html
  106. 1 McKay:2002:icccs Inspirations from Nature: Evolution and Complexity RI_Bob_McKay.html
  107. 17 mcphee:1998:itetpGP Impact of types on essentially typeless problems in GP NicholasFreitagMcPhee.html NicholasJHopper.html MitchellLReierson.html
  108. 13 mcphee:1999:A Analysis of genetic diversity through population history NicholasFreitagMcPhee.html NicholasJHopper.html
  109. 3 mcphee:1999:AAASRG AppGP: An Alternative Structural Representation for GP NicholasFreitagMcPhee.html NicholasJHopper.html
  110. 3 Meyer:thesis Understanding the performance of decision strategies in dynamic environments GeorgMeyer.html
  111. 9 Meza-Sanchez:IETcta Family of controllers based on sector non-linear functions: an application for first-order dynamical systems MarlenMeza-Sanchez.html MariadelCarmenRodriguez-Linan.html EddieHelbertClementeTorres.html
  112. 2 dissertation_mierswa Non-convex and multi-objective optimization in data mining IngoMierswa.html
  113. 1 Miranda:2020:CEC Instance Selection for Geometric Semantic Genetic Programming LuisFernandoMiranda.html LuizOtavioOliveira.html JoaoFranciscoMartins.html GiseleLPappa.html
  114. 18 DBLP:journals/rcs/MontesJO16 Equations for Describing Behavior Tables in Thermodynamics Using Genetic Programming: Synthesizing the Saturated Water and Steam Table MartinMontesRivera.html MarvingOmarAguilarJusto.html AlbertoOchoa-Zezzatti.html
  115. 1 Moraglio:2005:evophd Geometric Unification of Evolutionary Algorithms AlbertoMoraglio.html
  116. 1 Moyano:2020:CEC Tree-Shaped Ensemble of Multi-Label Classifiers using Grammar-Guided Genetic Programming JoseMMoyano.html EvaLGibaja.html KrzysztofJCios.html SebastianVentura.html
  117. 5 Munoz:2019:MemeticC Evolving multidimensional transformations for symbolic regression with M3GP LuisMunozDelgado.html LeonardoTrujillo.html SaraSilva.html MauroCastelli.html LeonardoVanneschi.html
  118. 1 Murphy:2020:CEC Improving Module Identification and Use in Grammatical Evolution AidanMurphy.html ConorRyan.html
  119. 1 Nezirevic:2016:TMT Modeling Of The Pressing Forces Using Genetic Programming EkremNezirevic.html BahrudinHrnjica.html AtifHodzic.html
  120. 1 Nguyen:2020:CEC Grammatical Evolution to Mine OWL Disjointness Axioms Involving Complex Concept Expressions ThuHuongNguyen.html AndreaGBTettamanzi.html
  121. 3 nordin:1997:grep Genetic Reasoning Evolving Proofs with Genetic Search PeterNordin.html WolfgangBanzhaf.html
  122. 5 Ojha:2020:CEC Multi-Objective Optimisation of Multi-Output Neural Trees VarunKumarOjha.html GiuseppeNicosia.html
  123. 1 oneill:1999:aghlfea Automatic Generation of High Level Functions using Evolutionary Algorithms MichaelO'Neill.html ConorRyan.html
  124. 8 Owen:ieeeTEC Characterising Genetic Programming Error Through Extended Bias and Variance Decomposition CaitlinAOwen.html GrantDick.html PeterAlexanderWhigham.html
  125. 9 Pei:SoftComput Genetic programming for high-dimensional imbalanced classification with a new fitness function and program reuse mechanism WenbinPei.html BingXue.html LinShang.html MengjieZhang.html
  126. 1 deAraujoPessoa:2020:CEC Cartesian Genetic Programming Hyper-Heuristic with Parameter Configuration for Production Lot-Sizing LuisFilipedeAraujoPessoa.html BerndHellingrath.html FernandoBuarquedeLimaNeto.html
  127. 6 Petke:2020:APR Refining Fitness Functions in Test-Based Program Repair JustynaPetke.html AymericBlot.html
  128. 1 Pillay:AOR Automated generation of constructive ordering heuristics for educational timetabling NelishiaPillay.html EnderOzcan.html
  129. 10 Qu:ieeeACC The Algorithm of Concrete Surface Crack Detection Based on the Genetic Programming and Percolation Model ZhongQu.html Yu-XiangChen.html LingLiu.html YiXie.html QiangZhou.html
  130. 49 Rabunal-Dopico:tesis Uso de Tecnicas de Inteligencia Artificial en Ingenieria Civil JuanRamonRabunalDopico.html
  131. 5 Rodrigues:2020:CEC A Study of Fitness Landscapes for Neuroevolution NunoMiguelRodrigues.html SaraSilva.html LeonardoVanneschi.html
  132. 7 Russo:SC A novel technique to self-adapt parameters in parallel/distributed genetic programming MarcoRusso.html
  133. 2 Saber:2020:CEC Hierarchical Grammar-Guided Genetic Programming Techniques for Scheduling in Heterogeneous Networks TakfarinasSaber.html DavidLynch.html DavidFagan.html StepanKucera.html HolgerClaussen.html MichaelO'Neill.html
  134. 1 Saber:2020:CEC2 Evolving Better Rerouting Surrogate Travel Costs with Grammar-Guided Genetic Programming TakfarinasSaber.html ShenWang.html
  135. 1 Samarasinghe:2018:GECCO Automatic Synthesis of Swarm Behavioural Rules from their Atomic Components DiliniSamarasinghe.html ErandiHeneKankanamge.html MichaelBarlow.html KathrynKasmarik.html
  136. 1 Schofield:2020:CEC Evolving Simpler Constructed Features for Clustering Problems with Genetic Programming FinnSchofield.html AndrewLensen.html
  137. 5 Schulte:2018:BAR Evolving Exact Decompilation EricSchulte.html JasonRuchti.html MattNoonan.html DavidCiarletta.html AlexeyLoginov.html
  138. 34 SHAHID:2020:ASC Wind power prediction using a three stage genetic ensemble and auxiliary predictor FarahShahid.html AsifullahKhan.html AneelaZameer.html JunaidArshad.html KamranSafdar.html
  139. 1 Shahin:2013:MWGTE Artificial Intelligence in Geotechnical Engineering: Applications, Modeling Aspects, and Future Directions MohamedShahin.html
  140. 1 Shahin:2015:hbgpa Genetic Programming for Modelling of Geotechnical Engineering Systems MohamedShahin.html
  141. 1 Sheta:2015:IJACSA Influence of Nitrogen-di-Oxide, Temperature and Relative Humidity on Surface Ozone Modeling Process Using Multigene Symbolic Regression Genetic Programming AlaaSheta.html HossamFaris.html
  142. 5 Sipper:2020:Programmatic_Boosting Programmatic Boosting MosheSipper.html JasonHMoore.html
  143. 7 Spector:2015:csdc Automatic Programming via Evolution LeeSpector.html
  144. 20 streeter:2001:tbsw Toward a Better Sine Wave MatthewJStreeter.html LeeABecker.html
  145. 1 Su:2019:Neuro-Oncology Automated machine learning based on radiomics features predicts H3 K27M mutation in midline gliomas of the brain XiaoruiSu.html NiChen.html HuaiqiangSun.html YanhuiLiu.html XibiaoYang.html WeinaWang.html SiminZhang.html QiaoyueTan.html JingkaiSu.html QiyongGong.html QiangYue.html
  146. 28 DBLP:journals/iajit/SultanTA19 Improving classification performance using genetic programming to evolve string kernels RubaSultan.html HashemTamimi.html YaqoubAshhab.html
  147. 1 svangard:2003:CINC Generating Investment Policies for Nonlinear Portfolio Optimization with Genetic Programming NilsSvangard.html PeterNordin.html
  148. 2 genofix-TR Gen-O-Fix: An embeddable framework for Dynamic Adaptive Genetic Improvement Programming JerrySwan.html MichaelGEpitropakis.html JohnRWoodward.html
  149. 7 Swan:2019:EC Extending the ``Open-Closed Principle'' to Automated Algorithm Configuration JerrySwan.html StevenAdriaensen.html AdamDBarwell.html KevinHammond.html DavidRobertWhite.html
  150. 1 Tan:2019:CEC A Hybrid Genetic Programming Hyper-Heuristic Approach for Online Two-level Resource Allocation in Container-based Clouds BoxiongTan.html HuiMa.html YiMei.html
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