Changes to Genetic Programing Bibliography since 2015/06/23

New and modified entries

New

  1. agapitos:cec2015 Deep Evolution of Feature Representations for Handwritten Digit Recognition AlexandrosAgapitos.html MichaelO'Neill.html MiguelNicolau.html DavidFagan.html AhmedKattan.html KathleenCurran.html
  2. Al-Madi:thesis Improved genetic programming techniques for data classification NailahAl-Madi.html
  3. Barr:2015:ISSTA Automated Software Transplantation EarlBarr.html MarkHarman.html YueJia.html AlexandruMarginean.html JustynaPetke.html
  4. BenbassatDissertation Finding Methods for Evolving Competent Agents in Multiple Domains AmitBenbassat.html
  5. Branke:2015:ieeeTEC Automated Design of Production Scheduling Heuristics: A Review JurgenBranke.html SuNguyen.html ChristophPickardt.html MengjieZhang.html
  6. byrne:eaauapds:2014 Evolving an Aircraft Using a Parametric Design System JonathanByrne.html PhillipCardiff.html AnthonyBrabazon.html MichaelO'Neill.html
  7. byrne:aeosiagrn:cec2014 An Examination of Synchronisation in Artificial Gene Regulatory Networks JonathanByrne.html MiguelNicolau.html AnthonyBrabazon.html MichaelO'Neill.html
  8. byrne:epamfdeao:2014 Evolving Parametric Aircraft Models for Design Exploration and Optimisation JonathanByrne.html PhillipCardiff.html AnthonyBrabazon.html MichaelO'Neill.html
  9. Castelli:2014:GPTP How to Exploit Alignment in the Error Space: Two Different GP Models MauroCastelli.html LeonardoVanneschi.html SaraSilva.html StefanoRuberto.html
  10. DBLP:journals/ijait/Cazenave13 Monte-Carlo Expression Discovery TristanCazenave.html
  11. Cheng:2014:GPTP Application of Machine-Learning Methods to Understand Gene Expression Regulation ChaoCheng.html WilliamPWorzel.html
  12. Cornforth:thesis Data-Driven, Free-Form Modeling Of Biological Systems TheodoreWCornforth.html
  13. daSilva2012510 Incorporating multiple distance spaces in optimum-path forest classification to improve feedback-based learning AndreTavaresdaSilva.html JeferssonAlexdosSantos.html AlexandreXFalcao.html RicardodaSilvaTorres.html LeoPiniMagalhaes.html
  14. Dick:2014:SEAL Proceedings 10th International Conference on Simulated Evolution and Learning, SEAL 2014 GrantDick.html WillNBrowne.html PeterAlexanderWhigham.html MengjieZhang.html LamThuBui.html HisaoIshibuchi.html YaochuJin.html XiaodongLi.html YuhuiShi.html PramodSingh.html KayChenTan.html KeTang.html
  15. Eiben:2015:nature From evolutionary computation to the evolution of things GuszEiben.html JamesSmith.html
  16. oai:CiteSeerX.psu:10.1.1.302.1666 A Genetic programming for modeling Hadronnucleus Interactions at 200 GeV/c MahmoudYEl-Bakry.html El-sayedAEl-dahshan.html AmrMohamedMahmoudKhairatRadi.html MTantawy.html
  17. ElyasafDissertation Evolving Hyper-Heuristics using Genetic Programming AchiyaElyasaf.html
  18. fenton:cec2015 Load Balancing in Heterogeneous Networks using Grammatical Evolution MichaelFenton.html DavidLynch.html StepanKucera.html HolgerClaussen.html MichaelO'Neill.html
  19. Fu:2015:SC Distribution-based invariant feature construction using genetic programming for edge detection WenlongFu.html MarkJohnston.html MengjieZhang.html
  20. Fu:2016:SC Genetic programming for edge detection: a Gaussian-based approach WenlongFu.html MarkJohnston.html MengjieZhang.html
  21. Garg:2014:ESA Performance evaluation of microbial fuel cell by artificial intelligence methods AkhilGarg.html VVijayaraghavan.html SibaSankarMahapatra.html KangTai.html CheeHowWong.html
  22. Iqbal:2015:SC Improving genetic search in XCS-based classifier systems through understanding the evolvability of classifier rules MuhammadIqbal.html WillNBrowne.html MengjieZhang.html
  23. Kannappan:2014:GPTP Analyzing a Decade of Human-Competitive (``HUMIE'') Winners: What Can We Learn? KarthikKannappan.html LeeSpector.html MosheSipper.html ThomasHelmuth.html WilliamLaCava.html JakeWisdom.html OmriBernstein.html
  24. Korns:2014:GPTP Extremely Accurate Symbolic Regression for Large Feature Problems MichaelKorns.html
  25. LaCava:2014:GPTP Inheritable Epigenetics in Genetic Programming WilliamLaCava.html LeeSpector.html
  26. loughran:cec2015 Tonality Driven Piano Compositions with Grammatical Evolution RoisinLoughran.html JamesMcDermott.html MichaelO'Neill.html
  27. loughran:smc2015 Grammatical Evolution with Zipf's Law Based Fitness for Melodic Composition RoisinLoughran.html JamesMcDermott.html MichaelO'Neill.html
  28. Lourenco:2015:EA SGE: A Structured Representation for Grammatical Evolution NunoLourenco.html FranciscoJoseBaptistaPereira.html ErnestoCosta.html
  29. Mazouni:2014:IDC AGGE: A Novel Method to Automatically Generate Rule Induction Classifiers Using Grammatical Evolution RomaissaaMazouni.html AbdellatifRahmoun.html
  30. Moore:2014:GPTP Identification of Novel Genetic Models of Glaucoma Using the ``EMERGENT'' Genetic Programming-Based Artificial Intelligence System JasonHMoore.html CaseySGreene.html DouglasPHill.html
  31. Nguyen:2015:ieeeTCYB Automatic Programming via Iterated Local Search for Dynamic Job Shop Scheduling SuNguyen.html MengjieZhang.html MarkJohnston.html KayChenTan.html
  32. nicolau:dituagrnm:2014 Dynamic Index Trading using a Gene Regulatory Network Model MiguelNicolau.html MichaelO'Neill.html AnthonyBrabazon.html
  33. nicolau:cec2015 Guidelines for defining benchmark problems in Genetic Programming MiguelNicolau.html AlexandrosAgapitos.html MichaelO'Neill.html AnthonyBrabazon.html
  34. Oliveira:2014:GPTP Sequential Symbolic Regression with Genetic Programming LuizOtavioVilasBoasOliveira.html FernandoEstebanBarrilOtero.html GiseleLPappa.html JulioAlbinati.html
  35. Riolo:2014:GPTP Genetic Programming Theory and Practice XII RickLRiolo.html WilliamPWorzel.html MarkKotanchek.html
  36. Robilliard:2015:EA Towards Human-Competitive Game Playing for Complex Board Games with Genetic Programming DenisRobilliard.html CyrilFonlupt.html
  37. Shahrzad:2014:GPTP Tackling the Boolean Multiplexer Function Using a Highly Distributed Genetic Programming System HormozShahrzad.html BabakHodjat.html
  38. tuite:mendel:2014 The Relationship between Semantic Distance and Performance in Dynamic Symbolic Regression Problems CliodhnaTuite.html MichaelO'Neill.html AnthonyBrabazon.html
  39. Winkler:2014:GPTP Sliding Window Symbolic Regression for Detecting Changes of System Dynamics StephanMWinkler.html MichaelAffenzeller.html GabrielKronberger.html MichaelKommenda.html BogdanBurlacu.html StefanWagner.html
  40. Woodward:2015:hclhswe How computers are learning to make human software work more efficiently JohnRWoodward.html JustynaPetke.html WilliamBLangdon.html
  41. Worzel:2014:GPTP SKGP: The Way of the Combinator WilliamPWorzel.html DuncanMacLean.html
  42. yin:agpafdh:cec2015 A Genetic Programming Approach for Delta Hedging ZhengYin.html AnthonyBrabazon.html ConallO'Sullivan.html MichaelO'Neill.html
  43. yin:rvfagpa:cec2015 Realised Volatility Forecasting: A Genetic Programming Approach ZhengYin.html AnthonyBrabazon.html ConallO'Sullivan.html MichaelO'Neill.html

Modified

  1. 1 Balicki:2006:IJCSNS Multicriterion Genetic Programming for Trajectory Planning of Underwater Vehicle JerzyBalicki.html
  2. 5 Byrne:2014:IS Optimising complex pylon structures with grammatical evolution JonathanByrne.html MichaelFenton.html ErikHemberg.html JamesMcDermott.html MichaelO'Neill.html
  3. 6 diplock:thesis The application of evolutionary computing techniques to spatial interaction modelling GaryDiplock.html
  4. 1 Forrest:2010:SPLASH The Case for Evolvable Software StephanieForrest.html
  5. 4 Gaitan:2014:HIC Rediscovering Manning's Equation Using Genetic Programming CarlosFGaitan.html
  6. 4 Gathercole:1996:aicrtd An Adverse Interaction between Crossover and Restricted Tree Depth in Genetic Programming ChrisGathercole.html PeterRoss.html
  7. 1 Harman:2010:ACM Automated Patching Techniques: The Fix Is In MarkHarman.html
  8. 1 Harman:2014:Babel Babel Pidgin: SBSE Can Grow and Graft Entirely New Functionality into a Real World System MarkHarman.html YueJia.html WilliamBLangdon.html
  9. 4 harris:1997:STGPphtexc Strongly Types GP to promote hierarchy through explicit syntax constraints ChristopherHarris.html
  10. 26 Jaewuk:2014:HIC Application Of Data Mining For Reverse Osmosis Process In Seawater Desalination KooJaewuk.html ShinYonghyun.html SanghoLee.html JuneseokChoi.html
  11. 1 icga93-gp:keenan Statistical Investigations of Genetic Algorithms and Genetic Programming NickKeenan.html
  12. 20 conf/ifip12/KhayamNKM14 Features Extraction of Growth Trend in Social Websites Using Non-linear Genetic Programming UmerKhayam.html DurreNayab.html GulMuhammadKhan.html SahibzadaAliMahmud.html
  13. 1 Lach:thesis Wybrane techniki wspomagajsce animacje autonomicznych postaci wirtualnych EwaLach.html
  14. 1 langdon:2000:geccostudent GECCO'99 Student Workshop WilliamBLangdon.html
  15. 1 langdon:2008:dagstuhl A field guide to genetic programming WilliamBLangdon.html
  16. 6 Langdon:2015:GECCO Improving CUDA DNA Analysis Software with Genetic Programming WilliamBLangdon.html BrianYeeHongLam.html JustynaPetke.html MarkHarman.html
  17. 7 langdon:2015:gi_pknots Grow and Graft a better CUDA pknotsRG for RNA pseudoknot free energy calculation WilliamBLangdon.html MarkHarman.html
  18. 1 langdon:2015:gi Genetic Improvement 2015 Chairs' Welcome WilliamBLangdon.html JustynaPetke.html DavidRobertWhite.html
  19. 25 conf/kes/LeeYC14 Taiwan Stock Investment with Gene Expression Programming Cheng-HanLee.html Chang-biauYang.html Hung-HsinChen.html
  20. 3 li:1999:FAGPTFP FGP: A Genetic Programming Tool for Financial Prediction JinLi.html
  21. 42 Jung-Yi_Lin:thesis Layered Multi-Population Genetic Programming And Its Applications MickJung-YiLin.html
  22. 5 Luke:ECJ The ECJ Owner's Manual -- A User Manual for the ECJ Evolutionary Computation Library SeanLuke.html
  23. 20 Miconi:TNA:cec2006 The N-Strikes-Out Algorithm: A Steady-State Algorithm for Coevolution ThomasMiconi.html AlastairDChannon.html
  24. 1 moore:2000:CAMDA Symbolic Discriminant Analysis for Mining Gene Expression Patterns JasonHMoore.html JoelSParker.html LanceWHahn.html
  25. 1 Ratzinger:2007:WCRE Quality Assessment Based on Attribute Series of Software Evolution JacekRatzinger.html HaraldGall.html MartinPinzger.html
  26. 4 Sharifi:2014:HIC A New Methodology For Deriving Regional Time Of Concentration Equations Using GIS And Genetic Programming SorooshSharifi.html MahdiRazaz.html
  27. 1 icga93-gp:singleton Meta GA, Desktop Supercomputing and Object-Orientated GP AndrewSingleton.html
  28. 1 icga93:spencer Automatic Generation of Programs for Crawling and Walking GrahamFSpencer.html
  29. 1 icga93-gp:stefanski Genetic Programming Using Abstract Syntax Trees PawelAStefanski.html

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