Changes to Genetic Programing Bibliography since 2015/03/19

New and modified entries

New

  1. Abhishek:2014:PMS Comparing Predictability of Genetic Programming and ANFIS on Drilling Performance Modeling for GFRP Composites KumarAbhishek.html BiranchiNarayanPanda.html SauravDatta.html SibaSankarMahapatra.html
  2. Abooali:2014:JNGSE Estimation of dynamic viscosity of natural gas based on genetic programming methodology DanialAbooali.html EhsanKhamehchi.html
  3. Alavi:2014:GF New design equations for estimation of ultimate bearing capacity of shallow foundations resting on rock masses AHAlavi.html EhsanSadrossadat.html
  4. Ali:2015:JBI Can-Evo-Ens: Classifier stacking based evolutionary ensemble system for prediction of human breast cancer using amino acid sequences SafdarAli.html AbdulMajid.html
  5. Almeida:2015:EI Deriving vegetation indices for phenology analysis using genetic programming JurandyGAlmeidaJr.html JeferssonAlexdosSantos.html WanerOMiranda.html BrunadeCostaAlberton.html LeonorPatriciaCerdeiraMorellato.html RicardodaSilvaTorres.html
  6. Alshammari:2015:JKSUCIS Identification of VoIP encrypted traffic using a machine learning approach RiyadAlshammari.html NurZincir-Heywood.html
  7. Amber:2015:EB Electricity consumption forecasting models for administration buildings of the UK higher education sector KPAmber.html MuhammadWaqarAslam.html SKHussain.html
  8. Bandaru:2015:EJOR Generalized higher-level automated innovization with application to inventory management SunithBandaru.html TehseenAslam.html AmosHCNg.html KalyanmoyDeb.html
  9. Bannister:2014:VH Automatic development of clinical prediction models with genetic programming: A case study in cardiovascular disease ChristianBannister.html CraigCurrie.html ADPreece.html IrenaSpasic.html
  10. BastoFernandes:2014:PT An Automatic Generation of Textual Pattern Rules for Digital Content Filters Proposal, Using Grammatical Evolution Genetic Programming VitorBasto-Fernandes.html IrynaYevseyeva.html RafaelZFrantz.html CarlosGrilo.html NoemiPerezDiaz.html MichaelEmmerich.html
  11. Bhardwaj:2015:ESA Breast cancer diagnosis using Genetically Optimized Neural Network model ArpitBhardwaj.html ArunaTiwari.html
  12. Branke:2015:EC Hyper-heuristic Evolution of Dispatching Rules: A Comparison of Rule Representations JurgenBranke.html TorstenHildebrandt.html BerndScholz-Reiter.html
  13. Buckingham:2015:JH Inductive machine learning for improved estimation of catchment-scale snow water equivalent DavidBuckingham.html ChristianSkalka.html JoshCBongard.html
  14. Caglar:2015:EAAI A simple formulation for effective flexural stiffness of circular reinforced concrete columns NaciCaglar.html AydinDemir.html HakanOzturk.html AbdulhalimAkkaya.html
  15. 2014-KAIS-Cano Speeding up multiple instance learning classification rules on GPUs AlbertoCanoRojas.html AmeliaZafraGomez.html SebastianVentura.html
  16. Cao:2015:ASC The Use of Vicinal-Risk Minimization for Training Decision Trees YilongCao.html PeterIRockett.html
  17. Carmona:2015:IS A fuzzy genetic programming-based algorithm for subgroup discovery and the application to one problem of pathogenesis of acute sore throat conditions in humans CristobalJoseCarmonadelJesus.html VictorRuiz-Rodado.html MariaJosedelJesus.html AWeber.html MartinGrootveld.html PedroGonzalezEspejo.html DavidElizondo.html
  18. Castelli:2015:Neurocomputing A geometric semantic genetic programming system for the electoral redistricting problem MauroCastelli.html RobertoHenriques.html LeonardoVanneschi.html
  19. Castelli:2015:EE Forecasting short-term electricity consumption using a semantics-based genetic programming framework: The South Italy case MauroCastelli.html LeonardoVanneschi.html MatteoDeFelice.html
  20. Chennupati:2015:evoApplications Automatic Evolution of Parallel Sorting Programs on Multi-cores GopinathChennupati.html RMuhammadAtifAzad.html ConorRyan.html
  21. DanandehMehr:2014:CG Linear genetic programming application for successive-station monthly streamflow prediction AliDanandehMehr.html ErcanKahya.html CahitYerdelen.html
  22. DanandehMehr:2014:JH A gene-wavelet model for long lead time drought forecasting AliDanandehMehr.html ErcanKahya.html MehmetOzger.html
  23. Demirhan:2014:ECM The problem of multicollinearity in horizontal solar radiation estimation models and a new model for Turkey HaydarDemirhan.html
  24. DiPaola:2014:PCS Using a Contextual Focus Model for an Automatic Creativity Algorithm to Generate Art Work SteveDiPaola.html
  25. Dona:2015:JEM Integrated satellite data fusion and mining for monitoring lake water quality status of the Albufera de Valencia in Spain CarolinaDonaMonzo.html Ni-BinChang.html VicenteCasellesMiralles.html JuanManuelSanchezToma.html AntonioCamacho.html JesusDelegido.html BenjaminWVannah.html
  26. Fillenwarth:2015:Fuel Development of a predictive optimization model for the compressive strength of sodium activated fly ash based geopolymer pastes BrianAFillenwarth.html ShankarMLSastry.html
  27. Folino:2014:ASC Automatic offloading of mobile applications into the cloud by means of genetic programming GianluigiFolino.html FrancescoSergioPisani.html
  28. Garg:2014:AES Stepwise approach for the evolution of generalized genetic programming model in prediction of surface finish of the turning process AkhilGarg.html KangTai.html
  29. Garg:2014:SMPT2 Combined CI-MD approach in formulation of engineering moduli of single layer graphene sheet AkhilGarg.html VVijayaraghavan.html CheeHowWong.html KangTai.html KSumithra.html LiangGao.html PravinMSingru.html
  30. Garg:2015:SEC A molecular simulation based computational intelligence study of a nano-machining process with implications on its environmental performance AkhilGarg.html VVijayaraghavan.html JasmineSiuLeeLam.html PravinMSingru.html LiangGao.html
  31. Gharun:2015:AFM Mapping spatial and temporal variation in tree water use with an elevation model and gridded temperature data ManaGharun.html TarrynLTurnbull.html JosephHenry.html MarkAAdams.html
  32. Gocic:2015:CEA Soft computing approaches for forecasting reference evapotranspiration MilanGocic.html ShervinMotamedi.html ShahaboddinShamshirband.html DaliborPetkovic.html SudheerCh.html RoslanHashim.html MuhammadArif.html
  33. Hu:2014:Alife The effects of recombination on phenotypic exploration and robustness in evolution TingHu.html WolfgangBanzhaf.html JasonHMoore.html
  34. Jha:2015:MMP Evolutionary Design of Nickel-Based Superalloys Using Data-Driven Genetic Algorithms and Related Strategies RajeshJha.html FrankPettersson.html GeorgeSDulikravich.html HenrikSaxen.html NChakrabortic.html
  35. Kattan:2015:IS Time-series event-based prediction: An unsupervised learning framework based on genetic programming AhmedKattan.html ShaheenFatima.html MuhammadArif.html
  36. Kattan:2015:ISa Surrogate Genetic Programming: A semantic aware evolutionary search AhmedKattan.html Yew-SoonOng.html
  37. Kaydani:2014:JNGSE A new correlation for calculating carbon dioxide minimum miscibility pressure based on multi-gene genetic programming HosseinKaydani.html MohammadNajafzadeh.html AliHajizadehMoghaddam.html
  38. Kaydani:2014:JPSE Permeability estimation in heterogeneous oil reservoirs by multi-gene genetic programming algorithm HosseinKaydani.html AliMohebbi.html MehdiEftekhari.html
  39. Khadem:2014:JNGSE Pressure and temperature functionality of paraffin-carbon dioxide interfacial tension using genetic programming and dimension analysis (GPDA) method SayyedAhmadKhadem.html ImanRaoofiJahromi.html AliZolghadr.html ShahabAyatollahi.html
  40. Kumaresan:2014:ASC Optimal control for stochastic linear quadratic singular neuro Takagi-Sugeno fuzzy system with singular cost using genetic programming NallasamyKumaresan.html KuruRatnavelu.html
  41. Kurniawan:2014:CG Improved sea level anomaly prediction through combination of data relationship analysis and genetic programming in Singapore Regional Waters AlamsyahKurniawan.html SengKeatOoi.html VladanBabovic.html
  42. Kurra:2015:JMRT Modeling and optimization of surface roughness in single point incremental forming process KurraSuresh.html NasihHifzurRahman.html SrinivasaPrakashRegalla.html AmitKumarGupta.html
  43. Langdon:2015:GECCO Improving CUDA DNA Analysis Software with Genetic Programming WilliamBLangdon.html BrianLam2.html JustynaPetke.html MarkHarman.html
  44. Le:2014:CISDA Malware detection using genetic programming ThiAnhLe.html ThiHuongChu.html QuangUyNguyen.html NguyenXuanHoai.html
  45. Lee:2015:ESA Efficient classification system based on Fuzzy-Rough Feature Selection and Multitree Genetic Programming for intension pattern recognition using brain signal Jong-HyunLee.html JavadRahimipourAnaraki.html ChangWookAhn.html JinungAn.html
  46. Li:2015:Neurocomputing Co-evolution framework of swarm self-assembly robots HaiyuanLi.html HongxingWei.html JiangyangXiao.html TianmiaoWang.html
  47. Liu:2014:IS Evolutionary compact embedding for large-scale image classification LiLiu.html LingShao.html XuelongLi.html
  48. 2014-AI-Luna An Evolutionary Algorithm for the Discovery of Rare Class Association Rules in Learning Management Systems JoseMariaLuna.html CristobalRomeroMorales.html JoseRaulRomeroSalguero.html SebastianVentura.html
  49. Manahov:2014:ESA A note on the relationship between market efficiency and adaptability - New evidence from artificial stock markets ViktorManahov.html RobertHudson.html
  50. Manahov:2014:JIFMIM2 New evidence about the profitability of small and large stocks and the role of volume obtained using Strongly Typed Genetic Programming ViktorManahov.html RobertHudson.html PhilipLinsley.html
  51. Manahov:2015:JIFMIM Return predictability and the `wisdom of crowds': Genetic Programming trading algorithms, the Marginal Trader Hypothesis and the Hayek Hypothesis ViktorManahov.html RobertHudson.html HafizHoque.html
  52. Mascia:2014:COR Grammar-based generation of stochastic local search heuristics through automatic algorithm configuration tools FrancoMascia.html ManuelLopez-Ibanez.html JeremieDubois-Lacoste.html ThomasStuetzle.html
  53. Meshgi:2014:JH An empirical method for approximating stream baseflow time series using groundwater table fluctuations AliMeshgi.html PetraSchmitter.html VladanBabovic.html TingFongMayChui.html
  54. Mohanty:2015:ASC Prediction of constant amplitude fatigue crack growth life of 2024 T3 Al alloy with R-ratio effect by GP JRMohanty.html TKMahanta.html AMohanty.html DNThatoi.html
  55. Muduli:2015:SF Model uncertainty of SPT-based method for evaluation of seismic soil liquefaction potential using multi-gene genetic programming PradyutKumarMuduli.html SaratKumarDas.html
  56. Najafzadeh20111207 Comparison of group method of data handling based genetic programming and back propagation systems to predict scour depth around bridge piers MohammadNajafzadeh.html GholamAbbasBarani.html
  57. Nasfi:2014:PCS Extraction of Interesting Adaptation Rules RimNasfi.html MakramSoui.html
  58. Nguyen:2015:TCS Population size matters: Rigorous runtime results for maximizing the hypervolume indicator AnhQuangNguyen.html AndrewMSutton.html FrankNeumann.html
  59. Nitsure:2014:AOR Prediction of sea water levels using wind information and soft computing techniques SPNitsure.html SNLondhe.html KCKhare.html
  60. 2014-IS-Olmo Single and multi-objective ant programming for mining interesting rare association rules JuanLuisOlmo.html JoseRaulRomeroSalguero.html SebastianVentura.html
  61. Padarian:2014:GR Predicting and mapping the soil available water capacity of Australian wheatbelt JosePadarian.html BudimanMinasny.html AlexanderBMcBratney.html NealPDalgliesh.html
  62. Panda:2014:PMS Comparative Evaluation of Optimization Algorithms at Training of Genetic Programming for Tensile Strength Prediction of FDM Processed Part BiranchiNarayanPanda.html MVARajuBahubalendruni.html BibhutiBhusanBiswal.html
  63. Pandey2009215 Knowledge and intelligent computing system in medicine BabitaPandey.html RaviBhushanMishra.html
  64. Pandey:2015:BT Multi-gene genetic programming based predictive models for municipal solid waste gasification in a fluidized bed gasifier DayaShankarPandey.html IndranilPan.html SaptarshiDas.html JamesJLeahy.html WitoldKwapinski.html
  65. Pandey:2012:ICCIC Detecting phishing e-mails using text and data mining MayankPandey.html VadlamaniRavi.html
  66. 2014-IS-Ramirez An approach for the evolutionary discovery of software architectures AuroraRamirezQuesada.html JoseRaulRomeroSalguero.html SebastianVentura.html
  67. ramirez:evows07 A Genetic Programming Approach to Feature Selection and Classification of Instantaneous Cognitive States RafaelRamirez.html MontserratPuiggros.html
  68. Rehman:2014:IERI_FIE Foreign Currency Exchange Rates Prediction Using CGP and Recurrent Neural Network MehreenRehman.html GulMuhammadKhan.html SahibzadaAliMahmud.html
  69. RodriguezFdez:2015:ASC Learning fuzzy controllers in mobile robotics with embedded preprocessing IsmaelRodriguezFernandez.html ManuelMucientesMolina.html AlbertoJBugarinDiz.html
  70. Roushangar:2014:JH2 Evaluation of genetic programming-based models for simulating friction factor in alluvial channels KiyoumarsRoushangar.html DominiqueMouaze.html JalalShiri.html
  71. Roy:2015:AE Development and validation of a GEP model to predict the performance and exhaust emission parameters of a CRDI assisted single cylinder diesel engine coupled with EGR SumitRoy.html AshmitaGhosh.html AjoyKumarDas.html ShriRahulBanerjee.html
  72. Sato:2015:SEC Improved sampling using loopy belief propagation for probabilistic model building genetic programming HiroyukiSato.html ToshihikoYanase.html DanushkaBollegala.html HitoshiIba.html
  73. Sen:2015:BCT Chapter 4 - A Survey of Intrusion Detection Systems Using Evolutionary Computation SevilSen.html
  74. Shahin:2014:GF State-of-the-art review of some artificial intelligence applications in pile foundations MohamedShahin.html
  75. Silva:2014:RAS Automatic generation of biped locomotion controllers using genetic programming PedroAndreMoreiradaSilva.html CristinaManuelaPeixotodosSantos.html VitorMatos.html LinoAntonioAntunesFernandesdaCosta.html
  76. Silva-Belisario:2015:ESA Using genetic programming and simulation to learn how to dynamically adapt the number of cards in reactive pull systems LorenaSilva-Belisario.html HenriPierreval.html
  77. Sivapragasam20101849 Prediction of algal blooms using genetic programming CSivapragasam.html NitinMuttil.html SMuthukumar.html VMArun.html
  78. Sivapragasam:2015:AP Infilling of Rainfall Information Using Genetic Programming CSivapragasam.html NitinMuttil.html MCatherinJeselia.html SVisweshwaran.html
  79. Sivapragasam:2015:APa Assessing Suitability of GP Modeling for Groundwater Level CSivapragasam.html KKannabiran.html GKarthik.html SRaja.html
  80. Smart:2015:EAAI Genetic programming and frequent itemset mining to identify feature selection patterns of iEEG and fMRI epilepsy data OtisLSmart.html LaurenBurrell.html
  81. Soltani:2015:Measurement Stiffness performance of polyethylene terephthalate modified asphalt mixtures estimation using support vector machine-firefly algorithm MehrtashSoltani.html TaherBaghaeeMoghaddam.html MohamedRehanKarim.html ShahaboddinShamshirband.html SudheerCh.html
  82. Tabatabaei:2015:JPSE A hybrid stochastic-gradient optimization to estimating total organic carbon from petrophysical data: A case study from the Ahwaz oilfield, SW Iran SeyedMohammadEhsanTabatabaei.html AliKadkhodaie-Ilkhchi.html ZibaHosseini.html AsgharAsghariMoghaddam.html
  83. Tang:2015:Neurocomputing Discovery scientific laws by hybrid evolutionary model FeiTang.html SanfengChen.html XuTan.html TaoHu.html GuangmingLin.html ZuoKang.html
  84. Tofiq:2014:JH Prediction of design flood discharge by statistical downscaling and General Circulation Models FATofiq.html AytacGuven.html
  85. Tran:2015:EMS Selection of significant input variables for time series forecasting HDTran.html NitinMuttil.html BJCPerera.html
  86. Vijayaraghavan:2014:TA A molecular dynamics based artificial intelligence approach for characterizing thermal transport in nanoscale material VVijayaraghavan.html AkhilGarg.html CheeHowWong.html KangTai.html PravinMSingru.html LiangGao.html KuldipSinghSangwan.html
  87. Wu:2015:DSP A robust baseline elimination method based on community information YanlingWu.html QingweiGao.html YuanyuanZhang2.html
  88. Xing:2015:CHB Participation-based student final performance prediction model through interpretable Genetic Programming: Integrating learning analytics, educational data mining and theory WanliXing.html RuiGuo.html EvaPetakovic.html SeanGoggins.html
  89. Zaji:2015:FMI Application of artificial neural network and genetic programming models for estimating the longitudinal velocity field in open channel junctions AmirHosseinZaji.html HosseinBonakdari.html
  90. Zangeneh-Sirdari:thesis Bedload Transport for Small Rivers in Malaysia ZahraZangenehSirdari.html
  91. Zangeneh-Sirdari:2014:IJSR Bedload transport of small rivers in Malaysia ZahraZangenehSirdari.html AminuddinAbGhani.html ZorkefleeAbuHassan.html

Modified

  1. 7 Albinati:2015:EuroGP The Effect of Distinct Geometric Semantic Crossover Operators in Regression Problems JulioAlbinati.html GiseleLPappa.html FernandoEstebanBarrilOtero.html LuizOtavioVilasBoasOliveira.html
  2. 1 Argyri2012 A comparison of Raman and FT-IR spectroscopy for the prediction of meat spoilage AnthoulaAArgyri.html RogerMJarvis.html DavidCWedge.html YunXu.html EfstathiosZPanagou.html RoystonGoodacre.html George-JohnENychas.html
  3. 8 Aydogan:2015:evoApplications Automatic Generation of Mobile Malwares Using Genetic Programming EmreAydogan.html SevilSen.html
  4. 1 MDAZAMATHULLA2008477 Genetic programming to predict ski-jump bucket spill-way scour HaziMohammadAzamathulla.html AminuddinAbGhani.html NorAzaziZakaria.html SaiHinLai.html ChunKiatChang.html ChengSiangLeow.html ZorkefleeAbuHasan.html
  5. 1 journals/nca/AzamathullaAG13 An expert system for predicting Manning's roughness coefficient in open channels by using gene expression programming HaziMohammadAzamathulla.html ZAhmad.html AminuddinAbGhani.html
  6. 7 Bartoli:2015:EuroGP Learning Text Patterns using Separate-and-Conquer Genetic Programming AlbertoBartoli.html AndreaDeLorenzo.html EricMedvet.html FabianoTarlao.html
  7. 7 Bhowan:2015:EuroGP Genetic Programming for Feature Selection and Question-Answer Ranking in IBM Watson UrveshBhowan.html DJMcCloskey.html
  8. 6 Chennupati:2015:EuroGP Automatic Evolution of Parallel Recursive Programs GopinathChennupati.html RMuhammadAtifAzad.html ConorRyan.html
  9. 7 Dick:2015:EuroGP Improving Geometric Semantic Genetic Programming with Safe Tree Initialisation GrantDick.html
  10. 21 Folino:2015:evoApplications Combining Ensemble of Classifiers by using Genetic Programming for Cyber Security Applications GianluigiFolino.html FrancescoSergioPisani.html
  11. 25 Gabbar:2014:PSEP Simulation-based fault propagation analysis-Application on hydrogen production plant HossamAGabbar.html SajidHussain.html AmirHosseinHosseini.html
  12. 1 Gharagheizi201271 Gene expression programming strategy for estimation of flash point temperature of non-electrolyte organic compounds FarhadGharagheizi.html PoorandokhtIlani-Kashkouli.html NasrinFarahani.html AmirHMohammadi.html
  13. 1 Giot20121837 Genetic programming for multibiometrics RomainGiot.html ChristopheRosenberger.html
  14. 7 Goncalves:2015:EuroGP On the Generalization Ability of Geometric Semantic Genetic Programming IvoGoncalves.html SaraSilva.html CarlosMFonseca.html
  15. 6 Grochol:2015:evoApplications A Fast FPGA-Based Classification of Application Protocols Optimized Using Cartesian GP DavidGrochol.html LukasSekanina.html MartinZadnik.html JanKorenek.html
  16. 8 Gypteau:2015:evoApplications Generating Directional Change Based Trading Strategies with Genetic Programming JeremieGypteau.html FernandoEstebanBarrilOtero.html MichaelKampouridis.html
  17. 9 Harrison:2015:evoApplications Investigating Fitness Measures for the Automatic Construction of Graph Models KyleHarrison.html MarioVentresca.html BeatriceOmbuki-Berman.html
  18. 3 Hofmann:2015:evoMusArt A Genetic Programming Approach to Generating Musical Compositions DavidMHofmann.html
  19. 3 Hunt:2015:evoCOP Using Local Search to Evaluate Dispatching Rules in Dynamic Job Shop Scheduling RachelHunt.html MarkJohnston.html MengjieZhang.html
  20. 1 Islam2012 Tree-based Genetic Programming Approach to Infer Microphysical Parameters of the DSDs from the Polarization Diversity Measurements TanvirIslam.html MiguelARico-Ramirez.html DaweiHan.html
  21. 1 Jeong20113149 Waterfowls habitat modelling: Simulation of nest site selection for the migratory Little Tern (Sterna albifrons) in the Nakdong estuary Kwang-SeukJeong.html Ji-DeokJang.html Dong-KyunKim.html Gea-JaeJoo.html
  22. 1 Kisi:2013:CG Modeling rainfall-runoff process using soft computing techniques OzgurKisi.html JalalShiri.html MustafaTombul.html
  23. 7 Krawiec:2015:EuroGP Automatic Derivation of Search Objectives for Test-Based Genetic Programming KrzysztofKrawiec.html PawelLiskowski.html
  24. 8 Krawiec:2015:evoApplications Genetic Programming with Alternative Search Drivers for Detection of Retinal Blood Vessels KrzysztofKrawiec.html MikolajPawlak.html
  25. 7 Liang:2015:evoApplications A Supervised Figure-ground Segmentation Method using Genetic Programming YuyuLiang.html MengjieZhang.html WillNBrowne.html
  26. 6 014-IEEETC-SD On the Use of Genetic Programming for Mining Comprehensible Rules in Subgroup Discovery JoseMariaLuna.html JoseRaulRomeroSalguero.html CristobalRomeroMorales.html SebastianVentura.html
  27. 5 Machado:2015:GP Proceedings of the 18th European Conference on Genetic Programming, EuroGP 2015 PenousalMachado.html MalcolmHeywood.html JamesMcDermott.html MauroCastelli.html PabloGarcia-Sanchez.html PaoloBurelli.html SebastianRisi.html KevinSim.html
  28. 1 Mermerdas:2013:CBM Experimental evaluation and modeling of drying shrinkage behavior of metakaolin and calcined kaolin blended concretes KasimMermerdas.html ErhanGuneyisi.html MehmetGesoglu.html TuranOzturan.html
  29. 3 Moylan:2015:evoMusArt Interior Illumination Design Using Genetic Programming KellyMoylan.html BrianJRoss.html
  30. 7 Mrazek:2015:EuroGP Evolutionary Design of Transistor Level Digital Circuits using Discrete Simulation VojtechMrazek.html ZdenekVasicek.html
  31. 7 Munoz:2015:EuroGP M3GP: Multiclass Classification with GP LuisMunozDelgado.html SaraSilva.html LeonardoTrujillo.html
  32. 7 Ni:2014:ieeeTEC Tikhonov Regularization as a Complexity Measure in Multiobjective Genetic Programming JiNi.html PeterIRockett.html
  33. 7 Park:2015:EuroGP Evolving Ensembles of Dispatching Rules using Genetic Programming for Job Shop Scheduling JohnPark.html SuNguyen.html MengjieZhang.html MarkJohnston.html
  34. 7 Patten:2015:EuroGP Attributed Grammatical Evolution using Shared Memory Spaces and Dynamically Typed Semantic Function Specification JamesVincentPatten.html ConorRyan.html
  35. 7 Peretta:2015:EuroGP Proposal and Preliminary Investigation of a Fitness Function for Partial Differential Models IgorSantosPeretta.html KeijiYamanaka.html PaulBourgine.html PierreCollet.html
  36. 7 Picek:2015:EuroGP Evolutionary Methods for the Construction of Cryptographic Boolean Functions StjepanPicek.html DomagojJakobovic.html JulianFMiller.html ElenaMarchiori.html LejlaBatina.html
  37. 2 poli:2002:bookshelf Bookshelf Foundations of Generic Programing RiccardoPoli.html
  38. 1 Qin:2013:CI Multiple-objective scheduling for interbay AMHS by using genetic-programming-based composite dispatching rules generator WeiQin.html JieZhang.html YinbinSun.html
  39. 1 Rashed2011 Nonlinear modelling of soil deformation modulus through LGP-based interpretation of pressuremeter test results AzadehRashed.html JafarBolouriBazaz.html AHAlavi.html
  40. 7 Sikulova:2015:EuroGP Indirectly Encoded Fitness Predictors Coevolved with Cartesian Programs MichaelaSikulova.html JiriHulva.html LukasSekanina.html
  41. 7 Swan:2015:EuroGP Templar: a Framework for Template-Method Hyper-Heuristics JerrySwan.html NathanBurles.html
  42. 1 Trujillo201261 Evolving estimators of the pointwise Hoelder exponent with Genetic Programming LeonardoTrujillo.html PierrickLegrand.html GustavoOlague.html JacquesLevy-Vehel.html
  43. 7 Vahdat:2015:EuroGP Tapped Delay Lines for GP Streaming Data Classification with Label Budgets AliVahdat.html JillianMorgan.html AndrewRMcIntyre.html MalcolmHeywood.html NurZincir-Heywood.html
  44. 4 Vanneschi:2015:evoApplications Improving Maritime Awareness with Semantic Genetic Programming and Linear Scaling: Prediction of Vessels Position Based on AIS Data LeonardoVanneschi.html MauroCastelli.html ErnestoCosta.html AlessandroRe.html HenriqueVaz.html VictorJosedeAlmeidaeSousaLobo.html PauloUrbano.html
  45. 7 Vasicek:2015:EuroGP Circuit Approximation Using Single and Multi-Objective Cartesian GP ZdenekVasicek.html LukasSekanina.html
  46. 7 Wang:2014:ieeeEC Convex Hull-Based Multi-objective Genetic Programming for Maximizing Receiver Operating Characteristic Performance PuWang.html MichaelEmmerich.html RuiLi.html KeTang.html ThomasBack.html XinYao.html
  47. 1 Zakaria20105078 Gene expression programming for total bed material load estimation--a case study NorAzaziZakaria.html HaziMohammadAzamathulla.html ChunKiatChang.html AminuddinAbGhani.html

New and modified entries