PSO-GA-S PSO and GA hybrid optimization algorithm,

Title: PSO-GA-S

Category:
matlab
Tags:
[Matlab] [源码]
File Size:
22.56mb
Update:
2012-11-26
Downloads:
1 Times
Uploaded by:
yangbin200221

Description: PSO and GA hybrid optimization algorithm, can achieve more than a simple algorithm using PSO or GA optimization results better

Downloaders recently: [More information of uploader yangbin200221]

To Search: PSO ga pso pso ga hybrid pso and ga with matlab matlab pso

[pso] - This is a very basic PSO algorithm matla
[aco-ga-pso-tsp] - A collection of genetic algorithm, ant c
[ANN_Training-withPSO] - ANN Training using Particle Swarm Optimi
[PSO] - matlab genetic algorithm GA, particle sw
[PSO] - Based on simulated annealing particle sw
[job-shop2] - Matlab Workshop Particle Swarm Optimizat
[ACO-PSO] - Ant colony optimization (ACO) and partic
[ant-for-tsp-pr76] - Using MATLAB based on ant algorithm for
[[matlab]altificialbeecolonyalgorithm] - Artificial Bee Colony (ABC)algorithm mat
[Hybrid-GA-PSO-Code] - Hybrid GA & PSO Algorithm Run the file M

File list (Check if you may need any files):

PSO-GA-S\main_colon.m
........\ChangeLog.txt
........\DeJong.m
........\DrawSwarm.m
........\installation-help.pdf
........\Readme.txt
........\RunExp.m
........\show_psoOptions.m
........\colon_XYT.mat
........\fitness.m
........\get_psoOptions.m
........\NEW_feature.mat
........\tot.mat
........\TOT_CL.mat
........\fitness.asv
........\pso.asv
........\sigmoid.m
........\c_clademo.m
........\c_lindemo.m
........\c_poldemo.m
........\c_rbfdemo.m
........\c_svcdemo.m
........\cmap.mat
........\Contents.m
........\DemoData_class.mat
........\DemoData_test.mat
........\DemoData_train.mat
........\demos.m
........\LinearSVC.asv
........\u_svcdemo.m
........\u_RbfSVC.m
........\u_rbfdemo.m
........\u_PolySVC.m
........\u_poldemo.m
........\u_LinearSVC.m
........\u_lindemo.m
........\u_clademo.m
........\SVMTrain.m
........\SVMTest.m
........\SVMPlot.m
........\SVMPlot2.m
........\SVMClassifier.mat
........\SVMClass.m
........\Scale.m
........\RbfSVC.m
........\PolySVC.m
........\osusvmdemo.m
........\one_RbfSVC.m
........\one_rbfdemo.m
........\Normalize.m
........\mexSVMTrain.mexsol
........\mexSVMTrain.mexhp7
........\mexSVMTrain.mexglx
........\mexSVMTrain.m
........\mexSVMTrain.dll
........\mexSVMClass.mexsol
........\mexSVMClass.mexhp7
........\mexSVMClass.mexglx
........\mexSVMClass.m
........\mexSVMClass.dll
........\load_datasets.m
........\load_datasets1.m
........\LinearSVC.m
........\main_colon.asv
........\colon_data.mat
........\C_data.mat
........\pso.m
........\2006114.mat
........\C-test.m
........\Untitled.m
........\Untitled.asv
........\main_pizik.m
........\main_pizik.asv
........\main.m
........\lekumia_data.mat
........\leukemia_classrate_linearsvm.mat
........\leukemia_margin.mat
........\expres_train.txt
........\expres_indep.txt
........\main_breast.m
........\main_breast.asv
........\Duke_BC_input.mat
........\Pbreast_data.mat
........\CTEST.m
........\get_psoOptions.asv
........\NEW_C_feature.mat
........\NEW_L_feature.mat
........\main.asv
........\ZZ.m
........\ZZcolon.m
........\ZZcolon.asv
........\new_colon_data.mat
........\FXMAX.mat
........\colon_test.m
........\colon_test.asv
........\fig_1.m
........\fig_1.asv
........\new_leukemia_data.mat
........\ZZleukemia.m
........\ZZleukemia.asv

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