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. 2011-Patelli_Alina Genetic programming techniques for nonlinear systems identification AlinaPatelli.html
  11. 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
  12. Bhardwaj:2015:ESA Breast cancer diagnosis using Genetically Optimized Neural Network model ArpitBhardwaj.html ArunaTiwari.html
  13. Branke:2015:EC Hyper-heuristic Evolution of Dispatching Rules: A Comparison of Rule Representations JurgenBranke.html TorstenHildebrandt.html BerndScholz-Reiter.html
  14. Buckingham:2015:JH Inductive machine learning for improved estimation of catchment-scale snow water equivalent DavidBuckingham.html ChristianSkalka.html JoshCBongard.html
  15. Caglar:2015:EAAI A simple formulation for effective flexural stiffness of circular reinforced concrete columns NaciCaglar.html AydinDemir.html HakanOzturk.html AbdulhalimAkkaya.html
  16. 2014-KAIS-Cano Speeding up multiple instance learning classification rules on GPUs AlbertoCanoRojas.html AmeliaZafraGomez.html SebastianVentura.html
  17. Cao:2015:ASC The Use of Vicinal-Risk Minimization for Training Decision Trees YilongCao.html PeterIRockett.html
  18. 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
  19. Castelli:2015:Neurocomputing A geometric semantic genetic programming system for the electoral redistricting problem MauroCastelli.html RobertoHenriques.html LeonardoVanneschi.html
  20. 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
  21. Chennupati:2015:evoApplications Automatic Evolution of Parallel Sorting Programs on Multi-cores GopinathChennupati.html RMuhammadAtifAzad.html ConorRyan.html
  22. wei:thesis An Empirical Investigation of Price Impact: An Agent-based Modelling Approach WeiCui.html
  23. DanandehMehr:2014:CG Linear genetic programming application for successive-station monthly streamflow prediction AliDanandehMehr.html ErcanKahya.html CahitYerdelen.html
  24. DanandehMehr:2014:JH A gene-wavelet model for long lead time drought forecasting AliDanandehMehr.html ErcanKahya.html MehmetOzger.html
  25. Demirhan:2014:ECM The problem of multicollinearity in horizontal solar radiation estimation models and a new model for Turkey HaydarDemirhan.html
  26. DiPaola:2014:PCS Using a Contextual Focus Model for an Automatic Creativity Algorithm to Generate Art Work SteveDiPaola.html
  27. 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
  28. 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
  29. Folino:2014:ASC Automatic offloading of mobile applications into the cloud by means of genetic programming GianluigiFolino.html FrancescoSergioPisani.html
  30. Gardner:2015:GPEM Controlling code growth by dynamically shaping the genotype size distribution Marc-AndreGardner.html ChristianGagne.html MarcParizeau.html
  31. 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
  32. 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
  33. 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
  34. 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
  35. Gocic:2015:CEA Soft computing approaches for forecasting reference evapotranspiration MilanGocic.html ShervinMotamedi.html ShahaboddinShamshirband.html DaliborPetkovic.html SudheerCh.html RoslanHashim.html MuhammadArif.html
  36. Hu:2014:Alife The effects of recombination on phenotypic exploration and robustness in evolution TingHu.html WolfgangBanzhaf.html JasonHMoore.html
  37. 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
  38. Kattan:2015:IS Time-series event-based prediction: An unsupervised learning framework based on genetic programming AhmedKattan.html ShaheenFatima.html MuhammadArif.html
  39. Kattan:2015:ISa Surrogate Genetic Programming: A semantic aware evolutionary search AhmedKattan.html Yew-SoonOng.html
  40. 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
  41. Kaydani:2014:JPSE Permeability estimation in heterogeneous oil reservoirs by multi-gene genetic programming algorithm HosseinKaydani.html AliMohebbi.html MehdiEftekhari.html
  42. 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
  43. Kim:2015:ieeeTEC Recursion-Based Biases in Stochastic Grammar Model Genetic Programming KangilKim.html RI_Bob_McKay.html NguyenXuanHoai.html
  44. 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
  45. 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
  46. Kurra:2015:JMRT Modeling and optimization of surface roughness in single point incremental forming process KurraSuresh.html NasihHifzurRahman.html SrinivasaPrakashRegalla.html AmitKumarGupta.html
  47. Langdon:2015:GECCO Improving CUDA DNA Analysis Software with Genetic Programming WilliamBLangdon.html BrianYeeHongLam.html JustynaPetke.html MarkHarman.html
  48. langdon:2015:gi_pknots Grow and Graft a better CUDA pknotsRG for RNA pseudoknot free energy calculation WilliamBLangdon.html MarkHarman.html
  49. langdon:2015:gi Genetic Improvement 2015 Chairs' Welcome WilliamBLangdon.html JustynaPetke.html DavidRobertWhite.html
  50. Le:2014:CISDA Malware detection using genetic programming ThiAnhLe.html ThiHuongChu.html QuangUyNguyen.html NguyenXuanHoai.html
  51. 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
  52. Li:2015:Neurocomputing Co-evolution framework of swarm self-assembly robots HaiyuanLi.html HongxingWei.html JiangyangXiao.html TianmiaoWang.html
  53. Liu:2014:IS Evolutionary compact embedding for large-scale image classification LiLiu.html LingShao.html XuelongLi.html
  54. 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
  55. Manahov:2014:ESA A note on the relationship between market efficiency and adaptability - New evidence from artificial stock markets ViktorManahov.html RobertHudson.html
  56. 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
  57. 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
  58. 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
  59. Meshgi:2014:JH An empirical method for approximating stream baseflow time series using groundwater table fluctuations AliMeshgi.html PetraSchmitter.html VladanBabovic.html TingFongMayChui.html
  60. 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
  61. 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
  62. 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
  63. Nasfi:2014:PCS Extraction of Interesting Adaptation Rules RimNasfi.html MakramSoui.html
  64. Nguyen:2015:TCS Population size matters: Rigorous runtime results for maximizing the hypervolume indicator AnhQuangNguyen.html AndrewMSutton.html FrankNeumann.html
  65. Nitsure:2014:AOR Prediction of sea water levels using wind information and soft computing techniques SPNitsure.html SNLondhe.html KCKhare.html
  66. 2014-IS-Olmo Single and multi-objective ant programming for mining interesting rare association rules JuanLuisOlmo.html JoseRaulRomeroSalguero.html SebastianVentura.html
  67. Padarian:2014:GR Predicting and mapping the soil available water capacity of Australian wheatbelt JosePadarian.html BudimanMinasny.html AlexanderBMcBratney.html NealPDalgliesh.html
  68. 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
  69. Pandey2009215 Knowledge and intelligent computing system in medicine BabitaPandey.html RaviBhushanMishra.html
  70. 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
  71. Pandey:2012:ICCIC Detecting phishing e-mails using text and data mining MayankPandey.html VadlamaniRavi.html
  72. 2014-IS-Ramirez An approach for the evolutionary discovery of software architectures AuroraRamirezQuesada.html JoseRaulRomeroSalguero.html SebastianVentura.html
  73. ramirez:evows07 A Genetic Programming Approach to Feature Selection and Classification of Instantaneous Cognitive States RafaelRamirez.html MontserratPuiggros.html
  74. Rehman:2014:IERI_FIE Foreign Currency Exchange Rates Prediction Using CGP and Recurrent Neural Network MehreenRehman.html GulMuhammadKhan.html SahibzadaAliMahmud.html
  75. RodriguezFdez:2015:ASC Learning fuzzy controllers in mobile robotics with embedded preprocessing IsmaelRodriguezFernandez.html ManuelMucientesMolina.html AlbertoJBugarinDiz.html
  76. Roushangar:2014:JH2 Evaluation of genetic programming-based models for simulating friction factor in alluvial channels KiyoumarsRoushangar.html DominiqueMouaze.html JalalShiri.html
  77. 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
  78. Sato:2015:SEC Improved sampling using loopy belief propagation for probabilistic model building genetic programming HiroyukiSato.html ToshihikoYanase.html DanushkaBollegala.html HitoshiIba.html
  79. Sen:2015:BCT Chapter 4 - A Survey of Intrusion Detection Systems Using Evolutionary Computation SevilSen.html
  80. Shahin:2014:GF State-of-the-art review of some artificial intelligence applications in pile foundations MohamedShahin.html
  81. Silva:2014:RAS Automatic generation of biped locomotion controllers using genetic programming PedroAndreMoreiradaSilva.html CristinaManuelaPeixotodosSantos.html VitorMatos.html LinoAntonioAntunesFernandesdaCosta.html
  82. 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
  83. Sivapragasam20101849 Prediction of algal blooms using genetic programming CSivapragasam.html NitinMuttil.html SMuthukumar.html VMArun.html
  84. Sivapragasam:2015:AP Infilling of Rainfall Information Using Genetic Programming CSivapragasam.html NitinMuttil.html MCatherinJeselia.html SVisweshwaran.html
  85. Sivapragasam:2015:APa Assessing Suitability of GP Modeling for Groundwater Level CSivapragasam.html KKannabiran.html GKarthik.html SRaja.html
  86. Smart:2015:EAAI Genetic programming and frequent itemset mining to identify feature selection patterns of iEEG and fMRI epilepsy data OtisLSmart.html LaurenBurrell.html
  87. 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
  88. Sprogar:2015:GPEM Prudent alignment and crossover of decision trees in genetic programming MatejSprogar.html
  89. Starkel:2015:NT Steel Machinability Modelling with Genetic Programming SebastjanStarkel.html PrimozGajsek.html MihaKovacic.html
  90. 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
  91. Tang:2015:Neurocomputing Discovery scientific laws by hybrid evolutionary model FeiTang.html SanfengChen.html XuTan.html TaoHu.html GuangmingLin.html ZuoKang.html
  92. Tofiq:2014:JH Prediction of design flood discharge by statistical downscaling and General Circulation Models FATofiq.html AytacGuven.html
  93. Tran:2015:EMS Selection of significant input variables for time series forecasting HDTran.html NitinMuttil.html BJCPerera.html
  94. Turner:2015:GPEMa Neutral genetic drift: an investigation using Cartesian Genetic Programming AndrewJamesTurner.html JulianFMiller.html
  95. 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
  96. Wagner:2015:EC On the Performance of Different Genetic Programming Approaches for the SORTING Problem MarkusWagner.html FrankNeumann.html TommasoUrli.html
  97. wieloch2013semantic Semantic Extensions for Genetic Programming BartoszWieloch.html
  98. Wu:2015:DSP A robust baseline elimination method based on community information YanlingWu.html QingweiGao.html YuanyuanZhang2.html
  99. 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
  100. 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
  101. Zangeneh-Sirdari:thesis Bedload Transport for Small Rivers in Malaysia ZahraZangenehSirdari.html
  102. Zangeneh-Sirdari:2014:IJSR Bedload transport of small rivers in Malaysia ZahraZangenehSirdari.html AminuddinAbGhani.html ZorkefleeAbuHassan.html
  103. Zhong:2015:ieeeTEC Self-Learning Gene Expression Programming JinghuiZhong.html Yew-SoonOng.html WentongCai.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 kinnear:altenberg The Evolution of Evolvability in Genetic Programming LeeAltenberg.html
  3. 1 kinnear:andre Automatically Defined Features: The Simultaneous Evolution of 2-Dimensional Feature Detectors and an Algorithm for Using Them DavidAndre.html
  4. 1 kinnear:andrews Genetic Programming for the Acquisition of Double Auction Market Strategies MartinAndrews.html RichardPrager.html
  5. 1 kinnear:angeline Genetic Programming and Emergent Intelligence PeterJohnAngeline.html
  6. 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
  7. 8 Aydogan:2015:evoApplications Automatic Generation of Mobile Malwares Using Genetic Programming EmreAydogan.html SevilSen.html
  8. 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
  9. 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
  10. 5 Baniasadi:2015:GPEM Exploring non-photorealistic rendering with genetic programming MaryamBaniasadi.html BrianJRoss.html
  11. 7 Bartoli:2015:EuroGP Learning Text Patterns using Separate-and-Conquer Genetic Programming AlbertoBartoli.html AndreaDeLorenzo.html EricMedvet.html FabianoTarlao.html
  12. 7 Bhowan:2015:EuroGP Genetic Programming for Feature Selection and Question-Answer Ranking in IBM Watson UrveshBhowan.html DJMcCloskey.html
  13. 6 Chennupati:2015:EuroGP Automatic Evolution of Parallel Recursive Programs GopinathChennupati.html RMuhammadAtifAzad.html ConorRyan.html
  14. 1 CuiBO:2011:IJFMDDTEAGEA Dynamic Trade Execution: A Grammatical Evolution Approach WeiCui.html AnthonyBrabazon.html MichaelO'Neill.html
  15. 1 kinnear:DHaeseleer Effects of Locality in Individual and Population Evolution PatrikD'haeseleer.html JasonBluming.html
  16. 7 Dick:2015:EuroGP Improving Geometric Semantic Genetic Programming with Safe Tree Initialisation GrantDick.html
  17. 21 Folino:2015:evoApplications Combining Ensemble of Classifiers by using Genetic Programming for Cyber Security Applications GianluigiFolino.html FrancescoSergioPisani.html
  18. 25 Gabbar:2014:PSEP Simulation-based fault propagation analysis-Application on hydrogen production plant HossamAGabbar.html SajidHussain.html AmirHosseinHosseini.html
  19. 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
  20. 1 Giot20121837 Genetic programming for multibiometrics RomainGiot.html ChristopheRosenberger.html
  21. 7 Goncalves:2015:EuroGP On the Generalization Ability of Geometric Semantic Genetic Programming IvoGoncalves.html SaraSilva.html CarlosMFonseca.html
  22. 6 Grochol:2015:evoApplications A Fast FPGA-Based Classification of Application Protocols Optimized Using Cartesian GP DavidGrochol.html LukasSekanina.html MartinZadnik.html JanKorenek.html
  23. 1 kinnear:gruau Genetic micro programming of Neural Networks FredericGruau.html
  24. 8 Gypteau:2015:evoApplications Generating Directional Change Based Trading Strategies with Genetic Programming JeremieGypteau.html FernandoEstebanBarrilOtero.html MichaelKampouridis.html
  25. 1 kinnear:handley The Automatic Generations of Plans for a Mobile Robot via Genetic Programming with Automatically Defined Functions SimonGHandley.html
  26. 3 harris:thesis An investigation into the Application of Genetic Programming techniques to Signal Analysis and Feature Detection ChristopherHarris.html
  27. 9 Harrison:2015:evoApplications Investigating Fitness Measures for the Automatic Construction of Graph Models KyleHarrison.html MarioVentresca.html BeatriceOmbuki-Berman.html
  28. 5 Hassan:thesis Multiobjective genetic programming for financial portfolio management in dynamic environments GhadaHassan.html
  29. 3 Hofmann:2015:evoMusArt A Genetic Programming Approach to Generating Musical Compositions DavidMHofmann.html
  30. 3 Hunt:2015:evoCOP Using Local Search to Evaluate Dispatching Rules in Dynamic Job Shop Scheduling RachelHunt.html MarkJohnston.html MengjieZhang.html
  31. 1 kinnear:iba Genetic Programming Using a Minimum Description Length Principle HitoshiIba.html HugodeGaris.html TaisukeSato.html
  32. 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
  33. 1 kinnear:jannink Cracking and Co-Evolving Randomizers JanJannink.html
  34. 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
  35. 1 kinnear:keith Genetic Programming in C++: Implementation Issues MikeJKeith.html MartinCMartin.html
  36. 1 kinnear:kinnear Alternatives in Automatic Function Definition: A Comparison Of Performance KennethEKinnearJr.html
  37. 1 kinnear:intro A perspective on the Work in this Book KennethEKinnearJr.html
  38. 1 kinnear:book Advances in Genetic Programming KennethEKinnearJr.html
  39. 1 Kisi:2013:CG Modeling rainfall-runoff process using soft computing techniques OzgurKisi.html JalalShiri.html MustafaTombul.html
  40. 7 Krawiec:2015:EuroGP Automatic Derivation of Search Objectives for Test-Based Genetic Programming KrzysztofKrawiec.html PawelLiskowski.html
  41. 8 Krawiec:2015:evoApplications Genetic Programming with Alternative Search Drivers for Detection of Retinal Blood Vessels KrzysztofKrawiec.html MikolajPawlak.html
  42. 2 langdon:2013:ecgpu Large Scale Bioinformatics Data Mining with Parallel Genetic Programming on Graphics Processing Units WilliamBLangdon.html
  43. 1 Langdon:2014:BDM Performance of Genetic Programming Optimised Bowtie2 on Genome Comparison and Analytic Testing (GCAT) Benchmarks WilliamBLangdon.html
  44. 7 Liang:2015:evoApplications A Supervised Figure-ground Segmentation Method using Genetic Programming YuyuLiang.html MengjieZhang.html WillNBrowne.html
  45. 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
  46. 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
  47. 1 kinnear:masand Optimising Confidence of Text Classification by Evolution of Symbolic Expressions BrijMasand.html
  48. 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
  49. 3 Moylan:2015:evoMusArt Interior Illumination Design Using Genetic Programming KellyMoylan.html BrianJRoss.html
  50. 7 Mrazek:2015:EuroGP Evolutionary Design of Transistor Level Digital Circuits using Discrete Simulation VojtechMrazek.html ZdenekVasicek.html
  51. 7 Munoz:2015:EuroGP M3GP: Multiclass Classification with GP LuisMunozDelgado.html SaraSilva.html LeonardoTrujillo.html
  52. 5 Mwaura:2014:GPEM Evolving robot sub-behaviour modules using Gene Expression Programming JonathanMwaura.html EdKeedwell.html
  53. 1 kinnear:nguyen Evolvable 3D Modeling for Model-Based Object Recognition Systems ThangCNguyen.html ThomasSHuang.html
  54. 7 Ni:2014:ieeeTEC Tikhonov Regularization as a Complexity Measure in Multiobjective Genetic Programming JiNi.html PeterIRockett.html
  55. 1 kinnear:nordin A Compiling Genetic Programming System that Directly Manipulates the Machine Code PeterNordin.html
  56. 1 kinnear:oakley Two Scientific Applications of Genetic Programming: Stack Filters and Non-Linear Equation Fitting to Chaotic Data HowardOakley.html
  57. 7 Park:2015:EuroGP Evolving Ensembles of Dispatching Rules using Genetic Programming for Job Shop Scheduling JohnPark.html SuNguyen.html MengjieZhang.html MarkJohnston.html
  58. 7 Patten:2015:EuroGP Attributed Grammatical Evolution using Shared Memory Spaces and Dynamically Typed Semantic Function Specification JamesVincentPatten.html ConorRyan.html
  59. 7 Peretta:2015:EuroGP Proposal and Preliminary Investigation of a Fitness Function for Partial Differential Models IgorSantosPeretta.html KeijiYamanaka.html PaulBourgine.html PierreCollet.html
  60. 7 Picek:2015:EuroGP Evolutionary Methods for the Construction of Cryptographic Boolean Functions StjepanPicek.html DomagojJakobovic.html JulianFMiller.html ElenaMarchiori.html LejlaBatina.html
  61. 2 poli:2002:bookshelf Bookshelf Foundations of Generic Programing RiccardoPoli.html
  62. 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
  63. 1 Rashed2011 Nonlinear modelling of soil deformation modulus through LGP-based interpretation of pressuremeter test results AzadehRashed.html JafarBolouriBazaz.html AHAlavi.html
  64. 1 kinnear:reynolds Evolution of Obstacle Avoidance Behaviour:Using Noise to Promote Robust Solutions CraigWReynolds.html
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