PSO-algorithm
所属分类：matlab编程
开发工具：matlab
文件大小：4170KB
下载次数：155
上传日期：2012-10-03 17:24:02
上 传 者：
xiaotao1989
说明： 一个粒子群算法实例，介绍粒子群算法的编程技巧
(A particle swarm algorithm instance, introduced particle swarm algorithm programming skills)
文件列表:
粒子群算法实例 (0, 2012-09-20)
粒子群算法实例\PSO(1).rar (2125860, 2012-09-20)
粒子群算法实例\psotb-beta-0.3 (0, 2004-05-30)
粒子群算法实例\psotb-beta-0.3\ChangeLog.txt (490, 2004-05-30)
粒子群算法实例\psotb-beta-0.3\DrawSwarm.m (721, 2003-07-10)
粒子群算法实例\psotb-beta-0.3\functions (0, 2005-12-29)
粒子群算法实例\psotb-beta-0.3\functions\DeJong.m (297, 2003-07-10)
粒子群算法实例\psotb-beta-0.3\functions\Griewank.m (433, 2003-07-10)
粒子群算法实例\psotb-beta-0.3\functions\Rastrigrin.m (373, 2003-07-10)
粒子群算法实例\psotb-beta-0.3\functions\Rosenbrock.m (531, 2003-07-14)
粒子群算法实例\psotb-beta-0.3\get_psoOptions.m (9814, 2003-07-10)
粒子群算法实例\psotb-beta-0.3\installation-help.pdf (69746, 2003-07-13)
粒子群算法实例\psotb-beta-0.3\pso.m (7583, 2004-05-30)
粒子群算法实例\psotb-beta-0.3\RunExp.m (7478, 2003-07-14)
粒子群算法实例\psotb-beta-0.3\show_psoOptions.m (1705, 2003-07-10)
粒子群算法实例\PSO工具箱使用简介.doc (101376, 2009-08-17)
粒子群算法实例\za.txt (34, 2009-08-17)
粒子群算法实例\微粒群算法-曾建潮 (0, 2009-08-17)
粒子群算法实例\微粒群算法-曾建潮\01第一章.pdf (91593, 2005-09-06)
粒子群算法实例\微粒群算法-曾建潮\02第二章.pdf (154325, 2005-09-06)
粒子群算法实例\微粒群算法-曾建潮\03第三章.pdf (604311, 2005-09-06)
粒子群算法实例\微粒群算法-曾建潮\04第四章.pdf (337880, 2005-09-06)
粒子群算法实例\微粒群算法-曾建潮\05第五章.pdf (125474, 2005-09-06)
粒子群算法实例\微粒群算法-曾建潮\06第六章.pdf (172970, 2005-09-06)
粒子群算法实例\微粒群算法-曾建潮\07第七章.pdf (267904, 2005-09-06)
粒子群算法实例\微粒群算法-曾建潮\08第八章.pdf (600214, 2005-09-06)
粒子群算法实例\微粒群算法-曾建潮\091附录1、标准微粒群算法源程序.pdf (36302, 2005-09-06)
粒子群算法实例\微粒群算法-曾建潮\092附录2、随机微粒群算法程序.pdf (37579, 2005-09-06)
粒子群算法实例\微粒群算法-曾建潮\093参考文献.pdf (67275, 2005-09-06)
粒子群算法实例\用PSO算法解决背包问题 (0, 2012-09-20)
粒子群算法实例\用PSO算法解决背包问题\beibaoPSO.m (2291, 2008-07-09)
粒子群算法实例\用PSO算法解决背包问题\试验报告.doc (44544, 2008-07-09)
粒子群算法实例\粒子群算法 (0, 2009-08-17)
粒子群算法实例\粒子群算法\fitness.m (109, 2008-12-06)
粒子群算法实例\粒子群算法\main.m (2007, 2008-12-11)
粒子群算法实例\粒子群算法\PSO.m (1330, 2008-12-03)
NOTE: THIS IS AN ALPHA RELEASE. FOR TESTING ONLY.
1. Installation:
-Unzip and copy the files to a folder (directory).
-Add the path to Matlab. (File>Set Path>Add with Subfolders)
-Read help for get_psoOptions.m and pso.m (enter help get_psoOptions at command line)
-Run PSO for u'r system.
PLEASE CHECK http://psotoolbox.sourceforge.net FOR UPDATES
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