Changes to Genetic Programing Bibliography since 2017/02/19

New and modified entries

New

  1. Altenberg:2017:GPEM Probing the axioms of evolutionary algorithm design: Commentary on ``On the mapping of genotype to phenotype in evolutionary algorithms'' by Peter A. Whigham, Grant Dick, and James Maclaurin LeeAltenberg.html
  2. Babanajad:thesis Methods for Sensing, Analysis and Computation of Loads and Distributed Damage in Bridges SaeedKarimBabaNajadMamaghani.html
  3. Bladek:2017:EuroGP Evolutionary Program Sketching IwoBladek.html KrzysztofKrawiec.html
  4. Cardenas-Valdez:2015:NEO Local Search Approach to Genetic Programming for RF-PAs Modeling Implemented in FPGA JoseRicardoCardenasValdez.html EmigdioZ-Flores.html JoseCruzNunezPerez.html LeonardoTrujillo.html
  5. Castelli:2017:GP EuroGP 2017: Proceedings of the 20th European Conference on Genetic Programming MauroCastelli.html JamesMcDermott.html LukasSekanina.html
  6. Chen:2017:ieeeTEC Feature Selection to Improve Generalisation of Genetic Programming for High-Dimensional Symbolic Regression QiChen.html MengjieZhang.html BingXue.html
  7. Chen:2017:EuroGP Geometric Semantic Crossover with an Angle-aware Mating Scheme in Genetic Programming for Symbolic Regression QiChen.html BingXue.html YiMei.html MengjieZhang.html
  8. Darulova:thesis Programming with Numerical Uncertainties EvaDarulova.html
  9. deSa:2017:EuroGP RECIPE: A Grammar-based Framework for Automatically Evolving Classification Pipelines AlexGCdeSa.html WalterJoseGoncalvesdaSilvaPinto.html LuizOtavioVilasBoasOliveira.html GiseleLPappa.html
  10. Ekart:2017:GPEM Genotype–phenotype mapping implications for genetic programming representation: Commentary on ``On the mapping of genotype to phenotype in evolutionary algorithms'' by Peter A. Whigham, Grant Dick, and James Maclaurin AnikoEkart.html PeterRLewis.html
  11. Forstenlechner:2017:EuroGP A Grammar Design Pattern for Arbitrary Program Synthesis Problems in Genetic Programming StefanForstenlechner.html DavidFagan.html MiguelNicolau.html MichaelO'Neill.html
  12. Foster:2017:GPEM Taking ``biology'' just seriously enough: Commentary on ``On the Mapping of Genotype to Phenotype in Evolutionary Algorithms'' by Peter A. Whigham, Grant Dick, and James Maclaurin JamesAFoster.html
  13. Goribar:2015:NEO Automatic Random Tree Generator on FPGA CarlosAntonioGoribarJimenez.html YazminMaldonadoRobles.html LeonardoTrujillo.html
  14. Graff:2015:NEO Semantic Genetic Programming for Sentiment Analysis MarioGraffGuerrero.html EricSaditTellez.html HugoJairEscalante.html SabinoMiranda-Jimenez.html
  15. Graff:2016:ROPEC EvoDAG: A semantic Genetic Programming Python library MarioGraffGuerrero.html EricSaditTellez.html SabinoMiranda-Jimenez.html HugoJairEscalante.html
  16. Griffiths:2017:EuroGP Improving the Tartarus Problem as a Benchmark in Genetic Programming ThomasDGriffiths.html AnikoEkart.html
  17. Haraldsson:2017:EuroGP Exploring Fitness and Edit Distance of Mutated Python Programs SaemundurOskarHaraldsson.html JohnRWoodward.html AlexanderEIBrownlee.html DavidCairns.html
  18. Haraldsson:2017:SBST The Use of Automatic Test Data Generation for Genetic Improvement in a Live System SaemundurOskarHaraldsson.html JohnRWoodward.html AlexanderEIBrownlee.html
  19. Hogan_2013_genetics Genetic programming based predictions and estimations for the endurance and retention of NAND flash memory devices DamienHogan.html
  20. Izzo:2017:EuroGP Differentiable Genetic Programming DarioIzzo.html FrancescoBiscani.html AlessioMereta.html
  21. Jia:2017:EuroGP Evolving Game State Features from Raw Pixels BaozhuJia.html MarcEbner.html
  22. Kalkreuth:2017:EuroGP A New Subgraph Crossover for Cartesian Genetic Programming RomanKalkreuth.html GuenterRudolph.html AndreDroschinsky.html
  23. Kelly:2017:EuroGP Emergent Tangled Graph Representations for Atari Game Playing Agents StephenKelly.html MalcolmHeywood.html
  24. PolyfinicJAR Genetic Programming + Proof Search = Automatic Improvement ZoltanKocsis.html JerrySwan.html
  25. LaCava:thesis Automatic Development and Adaptation of Concise Nonlinear Models for System Identification WilliamLaCava.html
  26. LaCava:2016:EAAI Inference of compact nonlinear dynamic models by epigenetic local search WilliamLaCava.html KouroshDanai.html LeeSpector.html
  27. :2017:EuroGP A General Feature Engineering Wrapper for Machine Learning Using epsilon-Lexicase Survival WilliamLaCava.html JasonHMoore.html
  28. langdon:RN1705 Long-Term Evolution of Genetic Programming Populations WilliamBLangdon.html
  29. Langdon:2017:GECCO Long-Term Evolution of Genetic Programming Populations WilliamBLangdon.html
  30. Lopez:2017:EuroGP RANSAC-GP: Dealing with Outliers in Symbolic Regression with Genetic Programming UrielLopez.html LeonardoTrujillo.html YulianaMartinez.html PierrickLegrand.html EnriqueNaredo.html SaraSilva.html
  31. Loughran2017 Feature selection for speaker verification using genetic programming RoisinLoughran.html AlexandrosAgapitos.html AhmedKattan.html AnthonyBrabazon.html MichaelO'Neill.html
  32. Lourenco:2017:EuroGP A Comparative Study of Different Grammar-based Genetic Programming Approaches NunoLourenco.html JoaquimFerrer.html FranciscoJoseBaptistaPereira.html ErnestoCosta.html
  33. Maertens:2017:EuroGP Symbolic Regression on Network Properties MarcusMaertens.html FernandoKuipers.html PietVanMieghem.html
  34. Martinez-Arellano:thesis Forecasting Wind Power for the Day-Ahead Market using Numerical Weather Models and Computational Intelligence Techniques GiovannaMartinez-Arellano.html
  35. Medvet:2017:EuroGP A Comparative Analysis of Dynamic Locality and Redundancy in Grammatical Evolution EricMedvet.html
  36. Mei:2017:EuroGP Evolving Time-Invariant Dispatching Rules in Job Shop Scheduling with Genetic Programming YiMei.html SuNguyen.html MengjieZhang.html
  37. Milea:thesis News Analytics for Financial Decision Support ViorelMilea.html
  38. Minarik:2017:EuroGP On Evolutionary Approximation of Sigmoid Function for HW/SW Embedded Systems MilosMinarik.html LukasSekanina.html
  39. Murray2012 Customising compilers for customisable processors AlastairMurray.html
  40. Oliveira:2017:EuroGP Strategies for Improving the Distribution of Random Function Outputs in GSGP LuizOtavioVilasBoasOliveira.html FelipeCasadei.html GiseleLPappa.html
  41. O'Neill:2017:GPEM Distilling the salient features of natural systems: Commentary on ``On the mapping of genotype to phenotype in evolutionary algorithms'' by Whigham, Dick and Maclaurin MichaelO'Neill.html MiguelNicolau.html
  42. Pawlak:2017:EuroGP Synthesis of Mathematical Programming Constraints with Genetic Programming TomaszPawlak.html KrzysztofKrawiec.html
  43. Petke:gisurvey Genetic Improvement of Software: a Comprehensive Survey JustynaPetke.html SaemundurOskarHaraldsson.html MarkHarman.html WilliamBLangdon.html DavidRobertWhite.html JohnRWoodward.html
  44. 37017-prakash-2014-thesis Optimal monitoring network design and identification of unknown pollutant sources in polluted aquifers OmPrakash.html
  45. Querry:thesis Stochastic optimization by evolutionary methods applied to autonomous aircraft flight control StephaneQuerry.html
  46. Reichensdeorfer:2017:EuroGP Grammatical Evolution of Robust Controller Structures using Wilson Scoring and Criticality Ranking EliasReichensdeorfer.html DirkOdenthal.html DirkWollherr.html
  47. Reid:2011:GECCO Analysing structure in complex networks using quality functions evolved by genetic programming FergalReid.html NeilHurley.html
  48. Ryan:2017:GPEM A rebuttal to Whigham, Dick, and Maclaurin by one of the inventors of Grammatical Evolution: Commentary on ``On the Mapping of Genotype to Phenotype in Evolutionary Algorithms'' by Peter A. Whigham, Grant Dick, and James Maclaurin ConorRyan.html
  49. Saghiri:2017:GPEM A closed asynchronous dynamic model of cellular learning automata and its application to peer-to-peer networks AliMohammadSaghiri.html MohammadRezaMeybodi.html
  50. Samie:thesis Bio-inspired prokaryotic array for fault-tolerant electronic systems MohammadSamie.html
  51. Segatori:thesis Classification Algorithms for Big Data over distributed processing frameworks ArmandoSegatori.html
  52. 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
  53. Squillero:2017:GPEM (Over-)Realism in evolutionary computation: Commentary on ``On the Mapping of Genotype to Phenotype in Evolutionary Algorithms'' by Peter A. Whigham, Grant Dick, and James Maclaurin GiovanniSquillero.html AlbertoTonda.html
  54. 500000550739 Program Evolution using Nonparametric Probabilistic Model MakotoTanji.html
  55. Tran:2017:EuroGP Using Feature Clustering for GP-Based Feature Construction on High- Dimensional Data BinhTran.html BingXue.html MengjieZhang.html
  56. Vanneschi:2015:NEO An Introduction to Geometric Semantic Genetic Programming LeonardoVanneschi.html
  57. Whigham:2017:GPEM On the mapping of genotype to phenotype in evolutionary algorithms PeterAlexanderWhigham.html GrantDick.html JamesMaclaurin.html
  58. Whigham:2017:GPEM2 Just because it works: a response to comments on ``On the Mapping of Genotype to Phenotype in Evolutionary Algorithms'' PeterAlexanderWhigham.html GrantDick.html JamesMaclaurin.html

Modified

  1. 1 Al-Sahaf:2015:GECCO Evolutionary Image Descriptor: A Dynamic Genetic Programming Representation for Feature Extraction HarithAl-Sahaf.html MengjieZhang.html MarkJohnston.html
  2. 1 Alexander:2016:PPSN Using Scaffolding with Partial Call-Trees to Improve Search BradAlexander.html ConniePyromallis.html GeorgeLorenzetti.html BradZacher.html
  3. 1 Alvarez:2016:GECCO Human-inspired Scaling in Learning Classifier Systems: Case Study on the n-bit Multiplexer Problem Set IsidroMAlvarez.html WillNBrowne.html MengjieZhang.html
  4. 1 Araujo:2015:GECCOcomp Grammatical Evolution for Identifying Wikipedia Taxonomies LourdesAraujo.html JuanMartinez-Romo.html AndresDuque.html
  5. 1 Arnaldo:2015:GECCO Building Predictive Models via Feature Synthesis IgnacioArnaldoLucas.html Una-MayO'Reilly.html KalyanVeeramachaneni.html
  6. 5 Azad:2017:GPEM Krzysztof Krawiec: Behavioral program synthesis with genetic programming RMuhammadAtifAzad.html
  7. 1 Baldominos:2016:GECCOcomp Exploring the Application of Hybrid Evolutionary Computation Techniques to Physical Activity Recognition AlejandroBaldominosGomez.html CarmendelBarrio.html YagoSaez.html
  8. 1 Bartoli:2015:GECCO Evolutionary Learning of Syntax Patterns for Genic Interaction Extraction AlbertoBartoli.html AndreaDeLorenzo.html EricMedvet.html FabianoTarlao.html MarcoVirgolin.html
  9. 1 Bartoli:2016:PPSN Syntactical Similarity Learning by means of Grammatical Evolution AlbertoBartoli.html AndreaDeLorenzo.html EricMedvet.html FabianoTarlao.html
  10. 1 Bhardwaj:2015:GECCO An Analysis of Integration of Hill Climbing in Crossover and Mutation operation for EEG Signal Classification ArpitBhardwaj.html ArunaTiwari.html MVishaalVarma.html MRameshKrishna.html
  11. 1 Bladek:2016:GECCOcomp Simultaneous Synthesis of Multiple Functions using Genetic Programming with Scaffolding IwoBladek.html KrzysztofKrawiec.html
  12. 1 Browne:2016:GECCOcomp Code Fragments: Past and Future use in Transfer Learning WillNBrowne.html
  13. 1 bruce2015reducing Reducing Energy Consumption Using Genetic Improvement BobbyRBruce.html JustynaPetke.html MarkHarman.html
  14. 1 Burks:2015:GECCO An Efficient Structural Diversity Technique for Genetic Programming ArmandRBurks.html WilliamFPunch.html
  15. 1 Castelli:2015:GECCO Geometric Semantic Genetic Programming with Local Search MauroCastelli.html LeonardoTrujillo.html LeonardoVanneschi.html SaraSilva.html EmigdioZ-Flores.html PierrickLegrand.html
  16. 1 Chen:2016:GECCO Improving Generalisation of Genetic Programming for Symbolic Regression with Structural Risk Minimisation QiChen.html MengjieZhang.html BingXue.html
  17. 1 Chennupati:2015:GECCO Performance Optimization of Multi-Core Grammatical Evolution Generated Parallel Recursive Programs GopinathChennupati.html RMuhammadAtifAzad.html ConorRyan.html
  18. 1 Chennupati:2015:GECCOcompa On the Automatic Generation of Efficient Parallel Iterative Sorting Algorithms GopinathChennupati.html RMuhammadAtifAzad.html ConorRyan.html
  19. 1 Christmas:2015:GECCOcomp Genetic C Programming with Probabilistic Evaluation JacquelineChristmas.html
  20. 1 Chu:2016:PPSN Tournament Selection based on Statistical Test in Genetic Programming ThiHuongChu.html QuangUyNguyen.html MichaelO'Neill.html
  21. 1 Colmenar:2016:GECCOcomp Predicting Glycemia in Diabetic Patients By Evolutionary Computation and Continuous Glucose Monitoring JManuelColmenar.html StephanMWinkler.html GabrielKronberger.html EstherMaqueda.html MartaBotella.html JoseIgnacioHidalgoPerez.html
  22. 1 Cramer:2016:GECCO A Genetic Decomposition Algorithm for Predicting Rainfall within Financial Weather Derivatives SamCramer.html MichaelKampouridis.html AlexAlvesFreitas.html
  23. 1 daSilva:2016:GECCOcomp A Graph-based QoS-Aware Method for Web Service Composition with Branching AlexandreSawczukdaSilva.html HuiMa.html MengjieZhang.html
  24. 1 Davila:2015:GECCOcomp An Empirical Comparison of Genetically Evolved Programs and Evolved Neural Networks for Multi-agent Systems Operating under Dynamic Environments JaimeJDavila.html
  25. 1 deMelo:2016:GECCOcomp Improving Logistic Regression Classification of Credit Approval with Features Constructed by Kaizen Programming ViniciusVelosodeMelo.html WolfgangBanzhaf.html
  26. 1 Dick:2015:GECCO A Re-Examination of the Use of Genetic Programming on the Oral Bioavailability Problem GrantDick.html AyshaPRimoni.html PeterAlexanderWhigham.html
  27. 1 Fernandez:2016:PPSN A Cross-Platform Assessment of Energy Consumption in Evolutionary Algorithms Towards Energy-Aware Bioinspired Algorithms FranciscoFernandezdeVega.html FranciscoChavezdelaO.html JosefaDiazAlvarez.html JAGarcia.html PedroACastilloValdivieso.html JuanJulianMerelo.html CarlosCotta.html
  28. 1 Ffrancon:2015:GECCO Memetic Semantic Genetic Programming RobynFfrancon.html MarcSchoenauer.html
  29. 1 Fieldsend:2015:GECCO Strength Through Diversity: Disaggregation and Multi-Objectivisation Approaches for Genetic Programming JonathanEFieldsend.html AlbertoMoraglio.html
  30. 1 Fitzgerald:2015:GECCO An Integrated Approach to Stage 1 Breast Cancer Detection JeannieFitzgerald.html ConorRyan.html DavidMedernach.html KrzysztofKrawiec.html
  31. 1 Folino:2016:GECCOcomp An Incremental Ensemble Evolved by using Genetic Programming to Efficiently Detect Drifts in Cyber Security Datasets GianluigiFolino.html FrancescoSergioPisani.html PietroSabatino.html
  32. 5 Garcia:2008:gecco Protein-protein functional association prediction using genetic programming BeatrizGarcia.html RicardoAlerMur.html AgapitoLedezma.html AraceliSanchis.html
  33. 1 Goncalves:2016:GECCOcomp Arbitrarily Close Alignments in the Error Space: a Geometric Semantic Genetic Programming Approach IvoGoncalves.html SaraSilva.html CarlosMFonseca.html MauroCastelli.html
  34. 1 Goribar-Jimenez:2016:GECCOcomp Random Tree Generator for an FPGA-based Genetic Programming System CarlosAntonioGoribarJimenez.html YazminMaldonadoRobles.html LeonardoTrujillo.html
  35. 1 Grochol:2016:GECCO Evolutionary Design of Fast High-quality Hash Functions for Network Applications DavidGrochol.html LukasSekanina.html
  36. 1 Ha:2015:GECCO Fast Knowledge Discovery in Time Series with GPGPU on Genetic Programming SungjooHa.html Byung-RoMoon.html
  37. 1 Ha:2016:GECCOcomp Inspecting the Latent Space of Stock Market Data with Genetic Programming SungjooHa.html SangyeopLee.html Byung-RoMoon.html
  38. 1 Helmuth:2015:GECCO General Program Synthesis Benchmark Suite ThomasHelmuth.html LeeSpector.html
  39. 1 Helmuth:2016:GECCO The Impact of Hyperselection on Lexicase Selection ThomasHelmuth.html NicholasFreitagMcPhee.html LeeSpector.html
  40. 1 Helmuth:2016:GECCOcomp Effects of Lexicase and Tournament Selection on Diversity Recovery and Maintenance ThomasHelmuth.html NicholasFreitagMcPhee.html LeeSpector.html
  41. 3 Holzinger:2010:gecco Initialization parameter sweep in ATHENA: optimizing neural networks for detecting gene-gene interactions in the presence of small main effects EmilyRoseHolzinger.html CarrieCBuchanan.html ScottMDudek.html EricCTorstenson.html StephenDTurner.html MarylynDRitchie.html
  42. 1 Hong:2016:GECCO Automatically Designing More General Mutation Operators of Evolutionary Programming for Groups of Function Classes Using a Hyper-Heuristic LibinHong.html
  43. 1 Hrbacek:2015:GECCO Parallel Multi-Objective Evolutionary Design of Approximate Circuits RadekHrbacek.html
  44. 1 Hu:2016:GECCO Quantitative Analysis of Evolvability using Vertex Centralities in Phenotype Network TingHu.html WolfgangBanzhaf.html
  45. 1 Hughes:2016:GECCOcomp Finding Nonlinear Relationships in fMRI Time Series with Symbolic Regression JamesAlexanderHughes.html MarkDaley.html
  46. 1 Huynh:2016:GECCOcomp A Semantics based Symbolic Regression Framework for Mining Explicit and Implicit Equations from Data QuangNhatHuynh.html HemantKumarSingh.html TapabrataRay.html
  47. 1 Jia:2015:GECCO A GP-based Video Game Player BaozhuJia.html MarcEbner.html ChristianSchack.html
  48. 1 Juarez-Smith:2016:GECCOcomp Integrating Local Search within neat-GP PerlaJuarez-Smith.html LeonardoTrujillo.html
  49. 1 ka-sh-15a Generator Start-up Sequences Optimization for Network Restoration Using Genetic Algorithm and Simulated Annealing PaulKaufmann.html CongShen.html
  50. 1 Kelly:2015:GECCO Knowledge Transfer from Keepaway Soccer to Half-field Offense through Program Symbiosis: Building Simple Programs for a Complex Task StephenKelly.html MalcolmHeywood.html
  51. 1 Krawiec:2016:GECCOcomp Solving Complex Problems with Coevolutionary Algorithms KrzysztofKrawiec.html MalcolmHeywood.html
  52. 1 Kriegman:2016:PPSN Evolving Spatially Aggregated Features from Satellite Imagery for Regional Modeling SamKriegman.html MarcinSzubert.html JoshCBongard.html ChristianSkalka.html
  53. 1 LaCava:2015:GECCO Genetic Programming with Epigenetic Local Search WilliamLaCava.html ThomasHelmuth.html LeeSpector.html KouroshDanai.html
  54. 1 LaCava:2016:GECCO Epsilon-lexicase Selection for Regression WilliamLaCava.html LeeSpector.html KouroshDanai.html
  55. 1 Langdon:2015:GECCO Improving CUDA DNA Analysis Software with Genetic Programming WilliamBLangdon.html BrianYeeHongLam.html JustynaPetke.html MarkHarman.html
  56. 1 Langdon:2016:PPSN Optimising Quantisation Noise in Energy Measurement WilliamBLangdon.html JustynaPetke.html BobbyRBruce.html
  57. 1 Langdon:2016:PPSNa Kin Selection with Twin Genetic Programming WilliamBLangdon.html
  58. 4 Langdon:2016:GPEM Genetic Improvement of GPU Software WilliamBLangdon.html BrianYeeHongLam.html MarcModat.html JustynaPetke.html MarkHarman.html
  59. 11 langdon:2017:EuroGP Visualising the Search Landscape of the Triangle Program WilliamBLangdon.html NadarajenVeerapen.html GabrielaOchoa.html
  60. 1 Lenartowicz:2016:GECCOcomp mpEAd: Multi-Population EA Diagrams SebastianLenartowicz.html MarkWineberg.html
  61. 1 Leonard:2015:GECCO Efficient Evolution of High Entropy RNGs Using Single Node Genetic Programming PhilipLeonard.html DavidJackson.html
  62. 1 Liskowski:2016:GECCO Non-negative Matrix Factorization for Unsupervised Derivation of Search Objectives in Genetic Programming PawelLiskowski.html KrzysztofKrawiec.html
  63. 1 Galvan-Lopez:2016:PPSN On the Use of Semantics in Multi-Objective Genetic Programming EdgarGalvanLopez.html EfrenMezura-Montes.html OuassimAitElhara.html MarcSchoenauer.html
  64. 1 Lynch:2016:GECCO Evolutionary Learning of Scheduling Heuristics for Heterogeneous Wireless Communications Networks DavidLynch.html MichaelFenton.html StepanKucera.html HolgerClaussen.html MichaelO'Neill.html
  65. 4 Macret:2014:GECCO Automatic design of sound synthesizers as pure data patches using coevolutionary mixed-typed cartesian genetic programming MatthieuMacret.html PhilippePasquier.html
  66. 1 Magnusson:2016:GECCO Improving the Canny Edge Detector Using Automatic Programming: Improving Non-Max Suppression LarsVidarMagnusson.html JRolandOlsson.html
  67. 1 Manfrini:2016:GECCOcomp On Heuristics for Seeding the Initial Population of Cartesian Genetic Programming Applied to Combinational Logic Circuits FranciscoAugustoLimaManfrini.html HederSoaresBernardino.html HelioJCBarbosa.html
  68. 1 Manfrini:2016:PPSN A Novel Efficient Mutation for Evolutionary Design of Combinational Logic Circuits FranciscoAugustoLimaManfrini.html HederSoaresBernardino.html HelioJCBarbosa.html
  69. 1 Mariani:2016:GECCO Grammatical Evolution for the Multi-Objective Integration and Test Order Problem ThainaMariani.html GiovaniGuizzo.html SilviaReginaVergilio.html AuroraTrinidadRamirezPozo.html
  70. 1 Marino:2016:PPSN A General-Purpose Framework for Genetic Improvement FrancescoMarino.html GiovanniSquillero.html AlbertoTonda.html
  71. 1 Martin:2015:GECCOcompa Asynchronous Parallel Evolutionary Algorithms: Leveraging Heterogeneous Fitness Evaluation Times for Scalability and Elitist Parsimony Pressure MatthewAMartin.html AlexRBertels.html DanielRTauritz.html
  72. 1 McPhee:2015:GECCO Impact of Crossover Bias in Genetic Programming NicholasFreitagMcPhee.html MKirbieDramdahl.html DavidDonatucci.html
  73. 1 McPhee:2016:GECCOcomp Visualizing Genetic Programming Ancestries NicholasFreitagMcPhee.html MaggieMCasale.html MitchellFinzel.html ThomasHelmuth.html LeeSpector.html
  74. 1 Medernach:2015:GECCOcompa Wave: A Genetic Programming Approach to Divide and Conquer DavidMedernach.html JeannieFitzgerald.html RMuhammadAtifAzad.html ConorRyan.html
  75. 1 Medernach:2016:GECCO A New Wave: A Dynamic Approach to Genetic Programming DavidMedernach.html JeannieFitzgerald.html RMuhammadAtifAzad.html ConorRyan.html
  76. 1 Mei:2016:GECCO Feature Selection in Evolving Job Shop Dispatching Rules with Genetic Programming YiMei.html MengjieZhang.html SuNguyen.html
  77. 1 Miranda:2015:GECCO GEFPSO: A Framework for PSO Optimization based on Grammatical Evolution PericlesBarbosaMiranda.html RicardoBastosCavalcantePrudencio.html
  78. 1 Moraglio:2016:GECCOcomp Semantic Genetic Programming AlbertoMoraglio.html KrzysztofKrawiec.html
  79. 1 Moscovici:2016:GECCOcomp Adding Program Length Bias to the Lexicase and Tournament Selection Algorithms EvaMoscovici.html
  80. 1 MousaviAstarabadi:2015:GECCOcomp Avoiding Overfitting in Symbolic Regression Using the First Order Derivative of GP Trees SamanehSadatMousaviAstarabadi.html MohammadMehdiEbadzadeh.html
  81. 1 Mrugala:2016:GECCOcomp Evolving Attackers against Wireless Sensor Networks KingaMrugala.html NiluferTuptuk.html StephenHailes.html
  82. 1 Nicolau:2016:GECCO Managing Repetition in Grammar-Based Genetic Programming MiguelNicolau.html MichaelFenton.html
  83. 1 Oliveira:2016:GECCO A Dispersion Operator for Geometric Semantic Genetic Programming LuizOtavioVilasBoasOliveira.html FernandoEstebanBarrilOtero.html GiseleLPappa.html
  84. 1 Oliveira:2016:PPSN Reducing Dimensionality to Improve Search in Semantic Genetic Programming LuizOtavioVilasBoasOliveira.html LuisFernandoMiranda.html GiseleLPappa.html FernandoEstebanBarrilOtero.html RicardoHiroshiCaldeiraTakahashi.html
  85. 1 Olson:2016:GECCO Evaluation of a Tree-based Pipeline Optimization Tool for Automating Data Science RandalSOlson.html NathanBartley.html RyanJUrbanowicz.html JasonHMoore.html
  86. 1 OReilly:2016:GECCOcomp Genetic Programming: A Tutorial Introduction Una-MayO'Reilly.html
  87. 1 Ouni:2015:GECCO Web Service Antipatterns Detection Using Genetic Programming AliOuni.html RaulaGaikovinaKula.html MarouaneKessentini.html KatsuroInoue.html
  88. 1 Pagan:2016:GECCO Grammatical Evolutionary Techniques for Prompt Migraine Prediction PaganOrtizJosue.html JoseLRisco-Martin.html JoseMMoya.html JoseLuisAyalaRodrigo.html
  89. 1 Pantridge:2016:GECCOcomp Evolution of Layer Based Neural Networks: Preliminary Report EdwardRPantridge.html LeeSpector.html
  90. 1 Pappa:2015:GECCOcomp GECCO Companion '15: Proceedings of the Companion Publication of the 2015 Annual Conference on Genetic and Evolutionary Computation GiseleLPappa.html AnabelaSimoes.html DirkSudholt.html WilliamBLangdon.html DavidRobertWhite.html JustynaPetke.html FrankWilliamMoore.html NurZincir-Heywood.html JoseSantos.html JuliaHandl.html AmardaShehu.html DavidWalker.html RichardEverson.html JonathanEFieldsend.html KarthikKuber.html MasayaNakata.html KamranShafi.html JohnRWoodward.html DanielRTauritz.html ManuelLopez-Ibanez.html StefanWagner.html MichaelAffenzeller.html YouheiAkimoto.html AnneAuger.html DimoBrockhoff.html NikolausHansen.html OlafMersmann.html PetrPosik.html TeaTusar.html BorisNaujoks.html AbrahamPrieto.html NicolasBredeche.html EvertHaasdijk.html ChrisSimons.html JerrySwan.html KrzysztofKrawiec.html JamesSmith.html ColinGJohnson.html AlbertoMoraglio.html MichaelO'Neill.html StephenLSmith.html StefanoCagnoni.html RobertMPatton.html
  91. 1 Park:2015:GECCOcomp A Single Population Genetic Programming based Ensemble Learning Approach to Job Shop Scheduling JohnPark.html SuNguyen.html MengjieZhang.html MarkJohnston.html
  92. 1 Park:2016:GECCOcomp Niching Genetic Programming based Hyper-heuristic Approach to Dynamic Job Shop Scheduling: An Investigation into Distance Metrics JohnPark.html YiMei.html GangChen.html MengjieZhang.html
  93. 4 Petke:2016:GPEM Preface to the Special Issue on Genetic Improvement JustynaPetke.html
  94. 1 Picek:2015:GECCOa Correlation Immunity of Boolean Functions: An Evolutionary Algorithms Perspective StjepanPicek.html ClaudeCarlet.html DomagojJakobovic.html JulianFMiller.html LejlaBatina.html
  95. 1 Picek:2015:GECCOcomp Cartesian Genetic Programming Approach for Generating Substitution Boxes of Different Sizes StjepanPicek.html JulianFMiller.html DomagojJakobovic.html LejlaBatina.html
  96. 1 Picek:2016:GECCO Evolving Algebraic Constructions for Designing Bent Boolean Functions StjepanPicek.html DomagojJakobovic.html
  97. 1 Pilat:2016:PPSN Feature Extraction for Surrogate Models in Genetic Programming MartinPilat.html RomanNeruda.html
  98. 1 Rothlauf:2016:GECCOcomp Representations for Evolutionary Algorithms FranzRothlauf.html
  99. 1 ryan:1995:paragen Automatic conversion of programs from serial to parallel using Genetic Programming - The Paragen System PaulJWalsh.html ConorRyan.html
  100. 1 Sabar:2016:GECCO Grammatical Evolution Enhancing Simulated Annealing for the Load Balancing Problem in Cloud Computing NasserRSabar.html AndySong.html
  101. 1 Sekanina:2016:GECCOcomp Visualisation and Analysis of Genetic Records Produced by Cartesian Genetic Programming LukasSekanina.html VlastimilKapusta.html
  102. 1 Silva:2015:GECCO GECCO '15: Proceedings of the 2015 Annual Conference on Genetic and Evolutionary Computation SaraSilva.html AnnaEsparcia-Alcazar.html ManuelLopez-Ibanez.html SanazMostaghim.html JonTimmis.html ChristineZarges.html LuisCorreia.html TerenceSoule.html MarioGiacobini.html RyanJUrbanowicz.html YouheiAkimoto.html TobiasGlasmachers.html FranciscoFernandezdeVega.html AmyHoover.html PedroLarranaga.html MartaSoto.html CarlosCotta.html FranciscoJoseBaptistaPereira.html JuliaHandl.html JanKoutnik.html AntonioGaspar-Cunha.html HeikeTrautmann.html Jean-BaptisteMouret.html SebastianRisi.html ErnestoCosta.html OliverSchuetze.html KrzysztofKrawiec.html AlbertoMoraglio.html JulianFMiller.html PawelWidera.html StefanoCagnoni.html JuanJulianMerelo.html EmmaHart.html LeonardoTrujillo.html MarouaneKessentini.html GabrielaOchoa.html FranciscoChicano.html CarolaDoerr.html
  103. 1 Sim:2016:GECCO A Combined Generative and Selective Hyper-heuristic for the Vehicle Routing Problem KevinSim.html EmmaHart.html
  104. 1 Smith:2016:GECCO Discovering Rubik's Cube Subgroups using Coevolutionary GP -- A Five Twist Experiment RobertJSmith.html StephenKelly.html MalcolmHeywood.html
  105. 1 Smith:2016:GECCOcomp Initiating a Moving Target Network Defense with a Real-time Neuro-evolutionary Detector RobertJSmith.html NurZincir-Heywood.html MalcolmHeywood.html JohnTJacobs.html
  106. 1 Sosa-Ascencio:2016:GECCOcomp Grammar-based Selection Hyper-heuristics for Solving Irregular Bin Packing Problems AlejandroSosa-Ascencio.html HugoTerashima-Marin.html JoseCarlosOrtiz-Bayliss.html SantiagoEnriqueConant-Pablos.html
  107. 1 Sotto:2016:GECCO Classification of Cardiac Arrhythmia by Random Forests with Features Constructed by Kaizen Programming using Linear Genetic Programming LeoFrancosoDalPiccolSotto.html ReginaCeliaCoelho.html ViniciusVelosodeMelo.html
  108. 1 Sotto:2016:GECCOcomp Solving the Lawn Mower problem with Kaizen Programming and $\lambda$-Linear Genetic Programming for Module Acquisition LeoFrancosoDalPiccolSotto.html ViniciusVelosodeMelo.html
  109. 1 Spector:2016:GECCOcomp Expressive Genetic Programming: Concepts and Applications LeeSpector.html NicholasFreitagMcPhee.html
  110. 1 Spector:2016:GECCOcompA Evolution Evolves with Autoconstruction LeeSpector.html NicholasFreitagMcPhee.html ThomasHelmuth.html MaggieMCasale.html JulianOks.html
  111. 1 Stanislawska:2015:GECCO Genetic Programming for Estimation of Heat Flux between the Atmosphere and Sea Ice in Polar Regions KarolinaStanislawska.html KrzysztofKrawiec.html TimoVihma.html
  112. 1 Szubert:2016:GECCO Reducing Antagonism between Behavioral Diversity and Fitness in Semantic Genetic Programming MarcinSzubert.html AnuradhaKodali.html SangramGanguly.html KamalikaDas.html JoshCBongard.html
  113. 1 Szubert:2016:PPSN Semantic Forward Propagation for Symbolic Regression MarcinSzubert.html AnuradhaKodali.html SangramGanguly.html KamalikaDas.html JoshCBongard.html
  114. 4 Tackett:1994:thesis Recombination, Selection, and the Genetic Construction of Computer Programs WalterAldenTackett.html
  115. 1 Tauritz:2016:GECCOcomp Hyper-Heuristics DanielRTauritz.html JohnRWoodward.html
  116. 1 Thierens:2016:GECCOcomp Model-Based Evolutionary Algorithms DirkThierens.html PeterANBosman.html
  117. 1 Thorhauer:2015:GECCO On the Bias of Syntactic Geometric Recombination in Genetic Programming and Grammatical Evolution AnnThorhauer.html FranzRothlauf.html
  118. 1 Thorhauer:2016:PPSN On the Non-uniform Redundancy in Grammatical Evolution AnnThorhauer.html
  119. 1 Tran:2015:GECCO Multiple Imputation for Missing Data Using Genetic Programming CaoTruongTran.html MengjieZhang.html PeterAndreae.html
  120. 1 Tran:2016:GECCOcomp Directly Constructing Multiple Features for Classification with Missing Data using Genetic Programming with Interval Functions CaoTruongTran.html MengjieZhang.html PeterAndreae.html BingXue.html
  121. 1 Turner:2015:GECCOcomp Recurrent Cartesian Genetic Programming Applied to Series Forecasting AndrewJamesTurner.html JulianFMiller.html
  122. 1 Vasicek:2015:GECCOcomp Evolutionary Approximation of Complex Digital Circuits ZdenekVasicek.html LukasSekanina.html
  123. 4 Vasicek:2016:GPEMa Trading between quality and non-functional properties of median filter in embedded systems ZdenekVasicek.html VojtechMrazek.html
  124. 1 Whigham:2015:GECCO Examining the "Best of Both Worlds" of Grammatical Evolution PeterAlexanderWhigham.html GrantDick.html JamesMaclaurin.html CaitlinAOwen.html
  125. 1 White:2015:GECCOcompa The Programming Game: Evaluating MCTS as an Alternative to GP for Symbolic Regression DavidRobertWhite.html ShinYoo.html JeremySinger.html
  126. 1 Wong:2016:PPSN Hierarchical Knowledge in Self-Improving Grammar Based Genetic Programming Pak-KanWong.html ManLeungWong.html Kwong-SakLeung.html
  127. 1 Woodward:2016:GECCOcomp Connecting Automatic Parameter Tuning, Genetic Programming as a Hyper-heuristic, and Genetic Improvement Programming JohnRWoodward.html ColinGJohnson.html AlexanderEIBrownlee.html
  128. 1 Wu:2015:GECCO Deep Parameter Optimisation FanWu.html WestleyWeimer.html MarkHarman.html YueJia.html JensKrinke.html
  129. 4 Yeboah-Antwi:2016:GPEM Online Genetic Improvement on the java virtual machine with ECSELR KwakuYeboah-Antwi.html BenoitBaudry.html
  130. 1 YousefiZowj:2015:GECCO A Genetic Programming Approach to Cost-Sensitive Control in Resource Constrained Sensor Systems AfsoonYousefiZowj.html JoshCBongard.html ChristianSkalka.html
  131. 1 Z-Flores:2015:GECCO A Local Search Approach to Genetic Programming for Binary Classification EmigdioZ-Flores.html LeonardoTrujillo.html OliverSchuetze.html PierrickLegrand.html
  132. 1 Zegklitz:2015:GECCOcompa Model Selection and Overfitting in Genetic Programming: Empirical Study JanZegklitz.html PetrPosik.html
  133. 1 Zhang:2016:GECCOcomp Evolutionary Computation for Feature Selection and Feature Construction MengjieZhang.html BingXue.html
  134. 1 Zhu:2015:GECCO Using Model Checking Techniques For Evaluating the Effectiveness of Evolutionary Computing in Synthesis of Distributed Fault-Tolerant Programs LingZhu.html SandeepKulkarni.html
  135. 4 Zhechen_Zhu:thesis Automatic classification of digital communication signal modulations ZhechenZhu.html
  136. 1 Zutty:2015:GECCO Multiple Objective Vector-Based Genetic Programming Using Human-Derived Primitives JasonZutty.html DanielLong.html HeywardAdams.html GiseleBennett.html ChristinaBaxter.html

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