Changes to Genetic Programing Bibliography since 2016/01/15

New and modified entries

New

  1. Aziz:2016:EuroGP Search-Based SQL Injection Attacks Testing using Genetic Programming BenjaminAziz.html MohamedBahyBader-El-Den.html CeranaHippolyte.html
  2. Cao:2016:EuroGP One-class Classification for Anomaly Detection with Kernel Density Estimation and Genetic Programming VanLoiCao.html MiguelNicolau.html JamesMcDermott.html
  3. Castelli:2015:FireEcology Predicting Burned Areas of Forest Fires: an Artificial Intelligence Approach MauroCastelli.html LeonardoVanneschi.html AlesPopovic.html
  4. Cpalka:2015:ITC A new approach to design of control systems using genetic programming KrzysztofCpalka.html KrystianLapa.html AndrzejPrzybyl.html
  5. Dvoracek:2016:EuroGP Evolutionary Approximation of Edge Detection Circuits PetrDvoracek.html LukasSekanina.html
  6. Fajfar:2016:EC Evolving a Nelder-Mead Algorithm for Optimization with Genetic Programming IztokFajfar.html JanezPuhan.html ArpadBurmen.html
  7. Forstenlechner:2016:EuroGP Grammar Design for Derivation Tree Based Genetic Programming Systems StefanForstenlechner.html MiguelNicolau.html DavidFagan.html MichaelO'Neill.html
  8. Fowler:2016:EuroGP Modelling Evolvability in Genetic Programming BenjaminFowler.html WolfgangBanzhaf.html
  9. GalvezRamirez:2016:EuroGP Towards Automated Strategies in Satisfiability Modulo Theory NicolasGalvezRamirez.html YoussefHamadi.html EricMonfroy.html FredericSaubion.html
  10. Hemberg:2015:ICAIL Tax Non-compliance Detection Using Co-evolution of Tax Evasion Risk and Audit Likelihood ErikHemberg.html JacobRosen.html GeoffWarner.html SanithWijesinghe.html Una-MayO'Reilly.html
  11. Heywood:2016:GP Proceedings of the 19th European Conference on Genetic Programming, EuroGP 2015 MalcolmHeywood.html JamesMcDermott.html MauroCastelli.html ErnestoCosta.html
  12. Keyhanipour:2016:GPEM Learning to rank: new approach with the layered multi-population genetic programming on click-through features AmirHoseinKeyhanipour.html BehzadMoshiri.html FarhadOroumchian.html MaseudRahgozar.html KambizBadie.html
  13. khanchi:2016:EuroGP On the Impact of Class Imbalance in GP Streaming Classification with Label Budgets SaraKhanchi.html MalcolmHeywood.html NurZincir-Heywood.html
  14. Kovacic:2016:MT Prediction of the chemical non-homogeneity of 30MnVS6 billets with genetic programming MihaKovacic.html DamirNovak.html
  15. Kovacic:2016:GPEM Prediction of the natural gas consumption in chemical processing facilities with genetic programming MihaKovacic.html FranjoDolenc.html
  16. Kuczapski:2010:ITC Efficient Generation of Near Optimal Initial Populations to Enhance Genetic Algorithms for Job-Shop Scheduling ArturMKuczapski.html MihaiVMicea.html LaurentiuAManiu.html VladimirICretu.html
  17. Kuehne:2016:EuroGP Patterns for Constructing Mutation Operators: Limiting the Search Space in a Software Engineering Application ThomasKuehne.html HeikoHamann.html SvetlanaArifulina.html GregorEngels.html
  18. langdon:2016:ieeeblog Genetic Improvement WilliamBLangdon.html JustynaPetke.html
  19. Lehmann:2007:MLDM Hybrid Learning of Ontology Classes JensLehmann.html
  20. jl_2010/phd_thesis Learning OWL Class Expressions JensLehmann.html
  21. Lensen:2016:EuroGP Genetic Programming for Region Detection, Feature Extraction, Feature Construction and Classification in Image Data AndrewLensen.html HarithAl-Sahaf.html MengjieZhang.html BingXue.html
  22. Liskowski:2016:EuroGP Surrogate Fitness via Factorization of Interaction Matrix PawelLiskowski.html KrzysztofKrawiec.html
  23. Lourenco:2016:GPEM Unveiling the properties of structured grammatical evolution NunoLourenco.html FranciscoJoseBaptistaPereira.html ErnestoCosta.html
  24. Lynch:2016:EuroGP Scheduling in Heterogeneous Networks using Grammar-based Genetic Programming DavidLynch.html MichaelFenton.html StepanKucera.html HolgerClaussen.html MichaelO'Neill.html
  25. Mambrini15PhD Theory grounded design of genetic programming and parallel evolutionary algorithms AndreaMambrini.html
  26. Mambrini:2016:EuroGP On the Analysis of Simple Genetic Programming for Evolving Boolean Functions AndreaMambrini.html PietroSOliveto.html
  27. Moons:2014:PLOSmed Critical Appraisal and Data Extraction for Systematic Reviews of Prediction Modelling Studies: The CHARMS Checklist KarelGMMoons.html JorisAHdeGroot.html WalterBouwmeester.html YvonneVergouwe.html SusanMallett.html DouglasGAltman.html JohannesBReitsma.html GarySCollins.html
  28. Park:2016:EuroGP Genetic Programming based Hyper-heuristics for Dynamic Job Shop Scheduling: Cooperative Coevolutionary Approaches JohnPark.html YiMei.html SuNguyen.html GangChen2.html MengjieZhang.html
  29. Pawlak:2016:EuroGP Geometric Semantic Genetic Programming is Overkill TomaszPawlak.html
  30. Pawlak2:2016:EuroGP Semantic Geometric Initialization TomaszPawlak.html KrzysztofKrawiec.html
  31. petke:2015:daase_blog Revolutionising the process of software development JustynaPetke.html
  32. Ricalde:2016:EuroGP A Genetic Programming Approach for the Traffic Signal Control Problem with Epigenetic Modifications EstebanRicalde.html WolfgangBanzhaf.html
  33. Rubliauskas:2004:ITC Parse Tree Position Measuring in Distributed Genetic Programming DaliusRubliauskas.html GiedriusPaulikas.html BronislovasKilda.html
  34. RyserWelch:2016:EuroGP Iterative Cartesian Genetic Programming: Creating general algorithms for solving Travelling Salesman Problems PatriciaRyser-Welch.html JulianFMiller.html JerrySwan.html MartinATrefzer.html
  35. Sekanina:2016:WAPCO Genetic Improvement for Approximate Computing LukasSekanina.html ZdenekVasicek.html
  36. Tran:2016:EuroGP A Genetic Programming-based Imputation Method for Classification with Missing Data CaoTruongTran.html MengjieZhang.html PeterAndreae.html
  37. 1277309 Multi-optimization improves genetic programming generalization ability LeonardoVanneschi.html DenisRochat.html MarcoTomassini.html
  38. 1274130 Fitness landscapes and problem hardness in evolutionary computation LeonardoVanneschi.html SebastienVerel.html
  39. Wiglasz:2016:EuroGP Plastic Fitness Predictors Coevolved with Cartesian Programs MichalWiglasz.html MichaelaSikulova.html
  40. Zhechen_Zhu:thesis Automatic classification of digital communication signal modulations ZhechenZhu.html
  41. Zhechen_Zhu:book Automatic Modulation Classification: Principles, Algorithms and Applications ZhechenZhu.html AsokeKNandi.html

Modified

  1. 1 Albinati:2014:SMGP A Study of Semantic Geometric Crossover Operators in Regression Problems JulioAlbinati.html GiseleLPappa.html FernandoEstebanBarrilOtero.html LuizOtavioVilasBoasOliveira.html
  2. 4 Al-Sahaf:2015:EC Binary Image Classification: A Genetic Programming Approach to the Problem of Limited Training Instances HarithAl-Sahaf.html MengjieZhang.html MarkJohnston.html
  3. 1 Armani_2011_2 Control of Physical Consistency in Metamodel Building by Genetic Programming UmbertoArmani.html ZKhatir.html AmirulKhan.html VassiliVToropov.html AndreyPolynkin.html HThompson.html NKapur.html CJNoakes.html
  4. 1 Castelli:2014:SMGP The Influence of Population Size on Geometric Semantic GP MauroCastelli.html LucaManzoni.html SaraSilva.html LeonardoVanneschi.html
  5. 1 Castelli:2014:SMGP2 Self-tuning Geometric Semantic GP MauroCastelli.html LucaManzoni.html SaraSilva.html LeonardoVanneschi.html
  6. 1 Correia:2014:SMGP Semantic Operators for Evolutionary Art JoaoCorreiaLopes.html PenousalMachado.html
  7. 1 Eiben:2015:nature From evolutionary computation to the evolution of things GuszEiben.html JamesSmith.html
  8. 1 Ffrancon:2015:GECCOcomp Greedy Semantic Local Search for Small Solutions RobynFfrancon.html MarcSchoenauer.html
  9. 3 grant:msc An Investigation into Genetic Programming MichaelSeanGrant.html
  10. 1 Gruau:1993:alcdp Adding learning to the cellular development process: a comparative study FredericGruau.html LDarrellWhitley.html
  11. 1 hoang:2005:GPTP The Importance of Local Search: A Grammar Based Approach to Environmental Time Series Modelling Tuan-HaoHoang.html NguyenXuanHoai.html RI_Bob_McKay.html DarylEssam.html
  12. 1 Jia:2013:CSBSE The GISMOE Architecture YueJia.html MarkHarman.html WilliamBLangdon.html
  13. 1 Johnson:2014:SMGP Information Theory, Fitness, and Sampling Semantics ColinGJohnson.html JohnRWoodward.html
  14. 3 Karim:2014:GECCOcomp On improving grammatical evolution performance in symbolic regression with attribute grammar MuhammadRezaulKarim.html ConorRyan.html
  15. 1 Keber:2002:gecco Option Valuation With Generalized Ant Programming ChristianKeber.html MatthiasGSchuster.html
  16. 6 Kim:2015:ieeeTEC Recursion-Based Biases in Stochastic Grammar Model Genetic Programming KangilKim.html RI_Bob_McKay.html NguyenXuanHoai.html
  17. 1 Kocsis:2014:SMGP Asymptotic Genetic Improvement Programming via Type Functors and Catamorphisms ZoltanKocsis.html JerrySwan.html
  18. 1 langdon:2000:random Genetic Programming Bloat without Semantics WilliamBLangdon.html WolfgangBanzhaf.html
  19. 1 langdon:2008:CES-483 Evolving Regular Expressions for GeneChip Probe Performance Prediction WilliamBLangdon.html APHarrison.html
  20. 1 langdon:2008:PPSN Evolving Regular Expressions for GeneChip Probe Performance Prediction WilliamBLangdon.html APHarrison.html
  21. 6 2014-ICAE-Gaps Reducing gaps in quantitative association rules: A genetic programming free-parameter algorithm JoseMariaLuna.html JoseRaulRomeroSalguero.html CristobalRomeroMorales.html SebastianVentura.html
  22. 1 Mambrini:2014:SMGP A framework for measuring the generalization ability of Geometric Semantic Genetic Programming (GSGP) for Black-Box Boolean Functions Learning AndreaMambrini.html YangYu2.html XinYao.html
  23. 1 Moraglio:2014:SMGP Geometric Semantic Grammatical Evolution AlbertoMoraglio.html JamesMcDermott.html MichaelO'Neill.html
  24. 1 Moraglio:2014:SMGP2 An Efficient Implementation of GSGP using Higher-Order Functions and Memoization AlbertoMoraglio.html
  25. 1 OlteanuPaCa10 Modeling Gilliland Correlation using Genetic Programming MariusOlteanu.html NicolaeParaschiv.html OtiliaCangea.html
  26. 1 conf/isda/PaulikasR05 Flocking of Subpopulations in Distributed Genetic Programming GiedriusPaulikas.html DaliusRubliauskas.html
  27. 5 Paulikas:2005:ITC Movement of Flocked Subpopulations in Distributed Genetic Programming GiedriusPaulikas.html DaliusRubliauskas.html
  28. 1 Pawlak:2014:SMGP Guarantees of Progress for Geometric Semantic Genetic Programming TomaszPawlak.html KrzysztofKrawiec.html
  29. 1 Petke:2013:SSBSE Applying Genetic Improvement to MiniSAT JustynaPetke.html WilliamBLangdon.html MarkHarman.html
  30. 1 Stephens:2002:gecco Exact Results From A Coarse Grained Formulation Of The Dynamics Of Variable-length Genetic Algorithms ChristopherRStephens.html RiccardoPoli.html AldenHWright.html JonathanERowe.html
  31. 1 Swan:2014:SMGP Semantically-meaningful Numeric Constants for Genetic Programming JerrySwan.html JohnHDrake.html KrzysztofKrawiec.html
  32. 1 swan:2014:SMGP2 Analysis of Semantic Building Blocks via Groebner Bases JerrySwan.html GeoffreyKNeumann.html KrzysztofKrawiec.html
  33. 3 journals/itc/ZhengJC12 Multi-Objective Gene Expression Programming for Clustering YifeiZheng.html LixinJia.html HuiCao.html
  34. 7 Zhong:2015:ieeeTEC Self-Learning Gene Expression Programming JinghuiZhong.html Yew-SoonOng.html WentongCai.html

New and modified entries