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文件名称:Mateda2.0

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  • 上传时间:
    2012-11-16
  • 文件大小:
    1.31mb
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Matlab Package for Estimation of distribution algorithm
(系统自动生成,下载前可以参看下载内容)

下载文件列表

Mateda2.0/
Mateda2.0/readme.txt
Mateda2.0/InitEnvironments.m
Mateda2.0/Mateda2.0-UserGuide.pdf
Mateda2.0/license.gpl
Mateda2.0/RunEDA.m
Mateda2.0/ordering/
Mateda2.0/replacement/
Mateda2.0/repairing/
Mateda2.0/statistics/
Mateda2.0/local_optimization/
Mateda2.0/seeding/
Mateda2.0/sampling/
Mateda2.0/verbose/
Mateda2.0/learning/
Mateda2.0/ScriptsMateda/
Mateda2.0/knowledge_extraction/
Mateda2.0/functions/
Mateda2.0/otherfiles/
Mateda2.0/stop_conditions/
Mateda2.0/selection/
Mateda2.0/doc/
Mateda2.0/ordering/ParetoRank_ordering.m
Mateda2.0/ordering/fitness_ordering.m
Mateda2.0/ordering/Pareto_ordering.m
Mateda2.0/replacement/RT_replacement.m
Mateda2.0/replacement/pop_agregation.m
Mateda2.0/replacement/best_elitism.m
Mateda2.0/replacement/elitism.m
Mateda2.0/repairing/Trigom_repairing.m
Mateda2.0/repairing/SetWithinBounds_repairing.m
Mateda2.0/repairing/SetInBounds_repairing.m
Mateda2.0/statistics/simple_pop_statistics.m
Mateda2.0/local_optimization/local_search_OffHP.m
Mateda2.0/local_optimization/Greedy_search_OffHP.m
Mateda2.0/seeding/Bias_Init.m
Mateda2.0/seeding/seed_thispop.m
Mateda2.0/seeding/seeding_unitation_constraint.m
Mateda2.0/seeding/RandomInit.m
Mateda2.0/sampling/SampleMixtureofFullGaussianModels.m
Mateda2.0/sampling/FindMPE.m
Mateda2.0/sampling/SampleMPE_BN.m
Mateda2.0/sampling/SampleFDA.m
Mateda2.0/sampling/SampleBN.m
Mateda2.0/sampling/MOAGenerateIndividual.m
Mateda2.0/sampling/SampleMixtureofUnivGaussianModels.m
Mateda2.0/sampling/SampleGaussianUnivModel.m
Mateda2.0/sampling/Find_kMPEs.m
Mateda2.0/sampling/SampleGaussianFullModel.m
Mateda2.0/sampling/MNGibbsGenerateIndividual.m
Mateda2.0/sampling/MOAGeneratePopulation.m
Mateda2.0/verbose/simple_verbose.m
Mateda2.0/learning/LearnGaussianNetwork.m
Mateda2.0/learning/LearnMOAProb.m
Mateda2.0/learning/LearnMixtureofFullGaussianModels.m
Mateda2.0/learning/LearnMargProdModel.m
Mateda2.0/learning/LearnMOAModel.m
Mateda2.0/learning/LearnGaussianUnivModel.m
Mateda2.0/learning/LearnTModel.m
Mateda2.0/learning/LearnBN.m
Mateda2.0/learning/FindNeighborhood.m
Mateda2.0/learning/FactAffinityElim.m
Mateda2.0/learning/LearnFDA.m
Mateda2.0/learning/LearnTreeModel.m
Mateda2.0/learning/FactAffinity.m
Mateda2.0/learning/FindMargProb.m
Mateda2.0/learning/LearnMixtureofUnivGaussianModels.m
Mateda2.0/learning/CreateMarkovModel.m
Mateda2.0/learning/LearnFDAParameters.m
Mateda2.0/learning/LearnMOAParameters.m
Mateda2.0/learning/LearnGaussianFullModel.m
Mateda2.0/learning/CreateTreeStructure.m
Mateda2.0/ScriptsMateda/ReadmeScripts.txt
Mateda2.0/ScriptsMateda/AnalysisScripts/
Mateda2.0/ScriptsMateda/FitnessModScripts/
Mateda2.0/ScriptsMateda/OptimizationScripts/
Mateda2.0/ScriptsMateda/AnalysisScripts/FitnessMeasuresComp.m
Mateda2.0/ScriptsMateda/AnalysisScripts/BN_ParallelCoords.m
Mateda2.0/ScriptsMateda/AnalysisScripts/BN_StructureVisualization.m
Mateda2.0/ScriptsMateda/AnalysisScripts/BN_StructureHierClustering.m
Mateda2.0/ScriptsMateda/AnalysisScripts/BN_StructureFiltering.m
Mateda2.0/ScriptsMateda/FitnessModScripts/BN_kMPCs.m
Mateda2.0/ScriptsMateda/FitnessModScripts/BN_MPCsFitness.m
Mateda2.0/ScriptsMateda/FitnessModScripts/BN_Prediction.m
Mateda2.0/ScriptsMateda/OptimizationScripts/DefaultEDA_NKRandom.m
Mateda2.0/ScriptsMateda/OptimizationScripts/GaussianMultivariate_OfflineHPProtein.m
Mateda2.0/ScriptsMateda/OptimizationScripts/DefaultEDA_OneMax.m
Mateda2.0/ScriptsMateda/OptimizationScripts/AffEDA_Deceptive3.m
Mateda2.0/ScriptsMateda/OptimizationScripts/TreeFDA_HPProtein.m
Mateda2.0/ScriptsMateda/OptimizationScripts/EBNA_PLS_MPC_NKRandom.m
Mateda2.0/ScriptsMateda/OptimizationScripts/BayesianTree_IsingModel.m
Mateda2.0/ScriptsMateda/OptimizationScripts/GaussianUMDA_ContSumFunction.m
Mateda2.0/ScriptsMateda/OptimizationScripts/MOA_Deceptive3.m
Mateda2.0/ScriptsMateda/OptimizationScripts/UMDA_OneMax.m
Mateda2.0/ScriptsMateda/OptimizationScripts/EBNA_MultiObj_SAT.m
Mateda2.0/ScriptsMateda/OptimizationScripts/VariantsGaussianEDAs_trajectory.m
Mateda2.0/ScriptsMateda/OptimizationScripts/EBNA_Deceptive3.m
Mateda2.0/ScriptsMateda/OptimizationScripts/GaussianUMDA_OfflineHPProtein.m
Mateda2.0/ScriptsMateda/OptimizationScripts/DefaultEDA_TrapFunction.m
Mateda2.0/ScriptsMateda/OptimizationScripts/TreeFDA_Deceptive3.m
Mateda2.0/ScriptsMateda/OptimizationScripts/MixtureGaussianEDAs_trajectory.m
Mateda2.0/ScriptsMateda/OptimizationScripts/MixtureGaussianEDAs_OfflineHP.m
Mateda2.0/ScriptsMateda/OptimizationScripts/GaussianNetwork_OfflineHPProtein.m
Mateda2.0/ScriptsMateda/OptimizationScripts/MkFDA_HPProtein.m
Mateda2.0/knowledge_extraction/Mean_Var_Objectives.m
Mateda2.0/knowledge_extraction/Most_probable_explanations.m
Mateda2.0/knowledge_extraction/Realized_heritability.m
Mateda2.0/knowledge_extraction/Individuals_entropy.m
Mateda2.0/knowledge_extraction/Response_to_selection.m
Mateda2.0/knowledge_extraction/Find_Fitness_Approx.m
Mateda2.0/knowledge_extraction/Amount_of_selection.m
Mateda2.0/knowledge_extraction/entropy.m
Mateda2.0/knowledge_extraction/Probability_monitor.m
Mateda2.0/knowledge_extraction/BN_Pop_Prob.m
Mateda2.0/knowledge_extraction/Generations_entropy.m
Mateda2.0/knowledge_

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