Changes to Genetic Programing Bibliography since 2019/10/12

New and modified entries

New

  1. Badan:2019:TPNC Optimizing Convolutional Neural Networks for Embedded Systems by Means of Neuroevolution FilipBadan.html LukasSekanina.html
  2. deAlmeidaFarzat:ieeeTSE Evolving JavaScript code to reduce load time FabiodeAlmeidaFarzat.html MarciodeOliveiraBarros.html GuilhermeHortaTravassos.html
  3. Dou:GPEM:gpml GPML: an XML-based standard for the interchange of genetic programming trees TiantianDou.html YuriKaszubowskiLopes.html PeterIRockett.html AbigailHathway.html EsmailMahmoudiSaber.html
  4. Drugan:2019:SwarmEC Reinforcement learning versus evolutionary computation: A survey on hybrid algorithms MadalinaMDrugan.html
  5. Fischer:RN/2018/12 Reinforcement learning in financial markets - a survey ThomasGFischer.html
  6. Gandomi:GPEM:GPTIPS Software review: the GPTIPS platform AHGandomi.html EhsanAtefi.html
  7. Jingsong_He:GPEM:pfpa Evolutionary design model of passive filter circuit for practical application JingsongHe.html JinYin.html
  8. HEIN2018158 Interpretable policies for reinforcement learning by genetic programming DanielHein.html SteffenUdluft.html ThomasARunkler.html
  9. Jackson:thesis Algebraic Neural Architecture Representation, Evolutionary Neural Architecture Search, and Novelty Search in Deep Reinforcement Learning EthanCharlesJackson.html
  10. DBLP:journals/corr/abs-1903-09688 Symbolic Regression Methods for Reinforcement Learning JiriKubalik.html JanZegklitz.html ErikDerner.html RobertBabuska.html
  11. Langdon:2019:SEN The State and Future of Genetic Improvement WilliamBLangdon.html WestleyWeimer.html ChristopherTimperley.html OliverKrauss.html ZhenYuDing.html YiweiLyu.html NicolasChausseau.html EricSchulte.html ShinHweiTan.html KevinLeach.html YuHuang.html GabinAn.html
  12. MacLachlan:ECJ:gphh Genetic Programming Hyper-Heuristics with Vehicle Collaboration for Uncertain Capacitated Arc Routing Problems JordanMacLachlan.html YiMei.html JurgenBranke.html MengjieZhang.html
  13. Mrazek:2019:ieeeVLSI Efficient On-Chip Randomness Testing Utilizing Machine Learning Techniques VojtechMrazek.html LukasSekanina.html RolandDobai.html MarekSys.html PetrSvenda.html
  14. Munoz:GPEM:TL Transfer learning in constructive induction with Genetic Programming LuisMunozDelgado.html LeonardoTrujillo.html SaraSilva.html
  15. Sekanina:2019:AC Automated Search-Based Functional Approximation for Digital Circuits LukasSekanina.html ZdenekVasicek.html VojtechMrazek.html
  16. Srivisut:thesis Search-Based Temporal Testing of Multicore Applications KomsanSrivisut.html
  17. Stanley:2019:NMI Designing neural networks through neuroevolution KennethOStanley.html JeffClune.html JoelLehman.html RistoMiikkulainen.html
  18. Suganuma:2018:IJCAI A Genetic Programming Approach to Designing Convolutional Neural Network Architectures MasanoriSuganuma.html ShinichiShirakawa.html TomoharuNagao.html
  19. Tonda:GPEM:Inspyred Inspyred: Bio-inspired algorithms in Python AlbertoTonda.html
  20. Vasicek:2019:DATE Automated Circuit Approximation Method Driven by Data Distribution ZdenekVasicek.html VojtechMrazek.html LukasSekanina.html

Modified

  1. 25 adhikari:JIEIa Genetic Programming: A Complementary Approach for Discharge Modelling in Smooth and Rough Compound Channels AlokAdhikari.html NAdhikari.html KCPatra.html
  2. 7 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
  3. 14 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
  4. 24 Arsalan:2017:ASC Protection of medical images and patient related information in healthcare: Using an intelligent and reversible watermarking technique MuhammadArsalanAwan.html AqsaSaeedQureshi.html AsifullahKhan.html MuttukrishnanRajarajan.html
  5. 29 Ashlock:2010:cec Evolution for automatic assessment of the difficulty of Sokoban boards DanielAshlock.html JustinSchonfeld.html
  6. 28 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
  7. 1 1277299 A GP-based hyper-heuristic framework for evolving 3-SAT heuristics MohamedBahyBader-El-Den.html RiccardoPoli.html
  8. 6 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
  9. 5 Bruce:TSE Approximate Oracles and Synergy in Software Energy Search Spaces BobbyRBruce.html JustynaPetke.html MarkHarman.html EarlBarr.html
  10. 1 1144254 Ensemble selection for evolutionary learning using information theory and Price's theorem StuCard.html ChilukuriKMohan.html
  11. 1 chen:1996:caemh Toward a Computable Approach to the Efficient Market Hypothesis: An Application of Genetic Programming Shu-HengChen.html ChiaHsuanYeh.html
  12. 1 Cody-Kenny:2015:gi locoGP: Improving Performance by Genetic Programming Java Source Code BrendanCody-Kenny.html EdgarGalvanLopez.html StephenBarrett.html
  13. 7 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
  14. 4 DeFalco:ASC Discovering interesting classification rules with genetic programming IvanoeDeFalco.html AntonioDellaCioppa.html ErnestoTarantino.html
  15. 6 Dehghanpour:jit Dynamic portfolio insurance strategy: a robust machine learning approach SiamakDehghanpour.html AkbarEsfahanipour.html
  16. 1 1277278 Mixing independent classifiers JanDrugowitsch.html AlwynMBarry.html
  17. 5 Durasevic2019 Creating dispatching rules by simple ensemble combination MarkoDurasevic.html DomagojJakobovic.html
  18. 27 feli:SIVP A novel recursive backtracking genetic programming-based algorithm for 12-lead ECG compression MohammadFeli.html FardinAbdali-Mohammadi.html
  19. 23 fu:SC Bayesian genetic programming for edge detection WenlongFu.html MengjieZhang.html MarkJohnston.html
  20. 17 Gagne:2006:IJAIT Genericity in Evolutionary Computation Software Tools: Principles and Case Study ChristianGagne.html MarcParizeau.html
  21. 2 Gandomi:2010:JMCE Nonlinear Genetic-Based Models for Prediction of Flow Number of Asphalt Mixtures AHGandomi.html AHAlavi.html MohammadRezaMirzahosseini.html FereidoonMoghaddasNejad.html
  22. 1 Georgiou:2010:ICEC Grammatical Evolution and the Santa Fe Trail Problem LoukasGeorgiou.html WilliamJTeahan.html
  23. 22 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
  24. 5 Harrand:GPEM A Journey Among Java Neutral Program Variants NicolasYvesMauriceHarrand.html SimonAllier.html MarcelinoRodriguez-Cancio.html MartinMonperrus.html BenoitBaudry.html
  25. 2 Hassan:thesis Multiobjective genetic programming for financial portfolio management in dynamic environments GhadaHassan.html
  26. 8 Hens2018 Front-running and market quality: An evolutionary perspective on high frequency trading ThorstenHens.html TerjeLensberg.html KlausReinerSchenk-Hoppe.html
  27. 21 Hughes:2018:CIBCB Analysis of symbolic models of biometrie data and their use for action and user identification JamesAlexanderHughes.html JosephAlexanderBrown.html AdilMehmoodKhan.html AsadMasoodKhattak.html MarkDaley.html
  28. 6 iqbal:SC Genetic programming with transfer learning for texture image classification MuhammadIqbal.html HarithAl-Sahaf.html BingXue.html MengjieZhang.html
  29. 1 langdon:2019:GI7 Genetic Improvement of Data gives double precision invsqrt WilliamBLangdon.html
  30. 3 gi2019_discussion The State and Future of Genetic Improvement WilliamBLangdon.html WestleyWeimer.html ChristopherTimperley.html OliverKrauss.html ZhenYuDing.html YiweiLyu.html NicolasChausseau.html EricSchulte.html ShinHweiTan.html KevinLeach.html YuHuang.html GabinAn.html
  31. 1 DBLP:journals/tse/GouesNFW12 GenProg: A Generic Method for Automatic Software Repair ClaireLeGoues.html ThanhVuNguyen.html StephanieForrest.html WestleyWeimer.html
  32. 6 Lopez-Lopez:2019:SC Applying Genetic Improvement to a Genetic Programming library in C++ VictorRaulLopezLopez.html LeonardoTrujillo.html PierrickLegrand.html
  33. 1 lukschandl:1998:1java Automatic Evolution of Java Bytecode: First experience with the Java virtual machine EduardLukschandl.html MagnusHolmlund.html EricModen.html
  34. 3 Malan2013148 A survey of techniques for characterising fitness landscapes and some possible ways forward KatherineMMalan.html AndriesPEngelbrecht.html
  35. 27 mattar:NCaA GEP and MLR approaches for the prediction of reference evapotranspiration MohamedAMattar.html AAAlazba.html
  36. 1 mcphee:1998:sutherland Sutherland: An extensible object-oriented software framework for evolutionary computation NicholasFreitagMcPhee.html NicholasJHopper.html MitchellLReierson.html
  37. 23 mehr:2018:ICAFS A Genetic Programming Approach to Forecast Daily Electricity Demand AliDanandehMehr.html FarzanehBagheri.html RifatResatoglu.html
  38. 1 Murali:2009:IJRTE Correction of Logical Errors in C programs using Genetic Algorithm Techniques PrakashMurali.html AtulKumarSujayendraSandur.html AbhayAshokPatil.html
  39. 2 rothlauf:2005:wp11 On the Locality of Grammatical Evolution FranzRothlauf.html MarieCarolineOetzel.html
  40. 1 ryan:1998:edt The Evolution of Decision Trees MDRyan.html VJRayward-Smith.html
  41. 5 Ryerkerk:GPEM:metameric A survey of evolutionary algorithms using metameric representations MattRyerkerk.html RonAverill.html KalyanmoyDeb.html ErikGoodman.html
  42. 21 sahin:NCaA A gene expression programming approach for thermodynamic properties of working fluids used on Organic Rankine Cycle ArzuSencanSahin.html ErkanDikmen.html SametSenturk.html
  43. 25 samui:GaGE Reliability Analysis of Slope Safety Factor by Using GPR and GP PijushSamui.html RahulKumar.html UttamYadav.html SunitaKumari.html DieuTienBui.html
  44. 6 Sarveghadi:2016:NCA Development of prediction models for shear strength of SFRCB using a machine learning approach MasoudSarveghadi.html AHGandomi.html HamedBolandi.html AHAlavi.html
  45. 2 Science09:Schmidt Distilling Free-Form Natural Laws from Experimental Data MichaelDSchmidt.html HodLipson.html
  46. 3 GPTIPSGuide GPTIPS User Guide (genetic programming \& symbolic regression for MATLAB) DominicPatrickSearson.html
  47. 1 icga93-gp:singleton Meta GA, Desktop Supercomputing and Object-Orientated GP AndrewSingleton.html
  48. 1 Sipper:2019:EuroGP Solution and Fitness Evolution (SAFE): Coevolving Solutions and Their Objective Functions MosheSipper.html JasonHMoore.html RyanJUrbanowicz.html
  49. 6 Sulyok:NC Evolving the process of a virtual composer CsabaSulyok.html AndrewMcPherson.html ChristopherHarte.html
  50. 10 Syu:ieeeNSM Modeling and Forecasting of Time-aware Dynamic QoS Attributes for Cloud Services YangSyu.html Chien-MinWang.html Yong-YiFanjiang.html
  51. 1 Tsakonas:2001:EUNITEa Hybrid Computational Intelligence for Handling Diagnosis of Aphasia AthanasiosDTsakonas.html GeorgiosDounias.html DiedrichGrafvonKeyserlingk.html HubertusAxer.html
  52. 1 Tsakonas:2001:EUNITEpap A Hybrid Computational Intelligence Approach Combining Genetic Programming and Heuristic Classification for Pap-Smear Diagnosis AthanasiosDTsakonas.html GeorgiosDounias.html JanJantzen.html BethBjerregaard.html
  53. 1 oai:CiteSeerPSU:563995 Soft Computing-Based Result Prediction of Football Games AthanasiosDTsakonas.html GeorgiosDounias.html SerhiDShtovba.html VVivdyuk.html
  54. 3 Ulloa-Cazarez:GPEM Joseph E. Aoun: Robot-proof: higher education at the age of artificial intelligence RosaLeonorUlloa-Cazarez.html
  55. 6 Vanneschi:2019:swarmEC Alignment-based genetic programming for real life applications LeonardoVanneschi.html MauroCastelli.html KristenScott.html LeonardoTrujillo.html
  56. 5 Westerberg:thesis An Investigation into the use of Evolutionary Algorithms for Fully Automated Planning CarlHenrikWesterberg.html
  57. 1 Wiglasz:2018:ieeeCompIntl Cooperative Coevolutionary Approximation in HOG-based Human Detection Embedded System MichalWiglasz.html LukasSekanina.html
  58. 2 Wijayaweera:2012:SLAAI Framework for Discovery of Data Models Using Genetic Programming WJLNuwanWijayaweera.html AsokaSKarunananda.html
  59. 2 woodward:2003:gogtintq GA or GP? That is not the question JohnRWoodward.html
  60. 1 yu:1997:polyGP PolyGP: A Polymorphic Genetic Programming System in Haskell TinaYu.html ChristopherDClack.html
  61. 1 Zhang:gecco06lbp Using Differential Evolution for GEP Constant Creation Qiongyun_Amy_Zhang.html ChiZhou.html WeiminXiao.html PeterCNelson.html XinLi.html
  62. 7 Zhou:IEEEAccess Multi-agent based hyper-heuristics for multi-objective flexible job shop scheduling: A case study in an aero-engine blade manufacturing plant YongZhou.html Jian-JunYang.html Lian-YuZheng.html

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