文件名称:psot
- 所属分类：
- 人工智能/神经网络/遗传算法
- 资源属性：
- [Matlab] [源码]
- 上传时间：
- 2012-11-26
- 文件大小：
- 801kb
- 下载次数：
- 1次
- 提 供 者：
- 张**
- 相关连接：
- 无
- 下载说明：
- 别用迅雷下载，失败请重下，重下不扣分！
介绍说明－－下载内容均来自于网络，请自行研究使用
粒子群算法工具箱
该工具箱将PSO算法的核心部分封装起来，提供给用户的为算法的可调参数，用户只需要定义好自己需要优化的函数(计算最小值或者最大值)，并设置好函数自变量的取值范围、每步迭代允许的最大变化量(称为最大速度，Max_V)等，即可自行优化。-Particle Swarm Optimization Toolbox of the Toolkit will be the core of the PSO algorithm package, and made available to the user adjustable parameters for the algorithm, users only need to define their need to optimize the function (calculation of the minimum or maximum), and set good function from the range of variables, each iteration step the maximum allowable variation (known as maximum speed, Max_V) and so on, can self-optimize.
该工具箱将PSO算法的核心部分封装起来，提供给用户的为算法的可调参数，用户只需要定义好自己需要优化的函数(计算最小值或者最大值)，并设置好函数自变量的取值范围、每步迭代允许的最大变化量(称为最大速度，Max_V)等，即可自行优化。-Particle Swarm Optimization Toolbox of the Toolkit will be the core of the PSO algorithm package, and made available to the user adjustable parameters for the algorithm, users only need to define their need to optimize the function (calculation of the minimum or maximum), and set good function from the range of variables, each iteration step the maximum allowable variation (known as maximum speed, Max_V) and so on, can self-optimize.
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下载文件列表
粒子群算法工具箱
................\A Particle Swarm Optimization (PSO) Primer.pdf
................\DemoPSOBehavior.m
................\goplotpso.m
................\goplotpso4demo.m
................\hiddenutils
................\...........\forcecol.m
................\...........\forcerow.m
................\...........\linear_dyn.m
................\...........\normmat.m
................\...........\spiral_dyn.m
................\nnet
................\....\demoPSOnet.m
................\....\goplotpso4net.m
................\....\pso_neteval.m
................\....\trainpso.m
................\pso_Trelea_vectorized.m
................\PSO工具箱使用简介.doc
................\ReadME.txt
................\testfunctions
................\.............\ackley.m
................\.............\alpine.m
................\.............\DeJong_f2.m
................\.............\DeJong_f3.m
................\.............\DeJong_f4.m
................\.............\f6.m
................\.............\f6mod.m
................\.............\f6_bubbles_dyn.m
................\.............\f6_linear_dyn.m
................\.............\f6_spiral_dyn.m
................\.............\Foxhole.m
................\.............\Griewank.m
................\.............\NDparabola.m
................\.............\Rastrigin.m
................\.............\Rosenbrock.m
................\.............\tripod.m
................\test_func.m
................\test_main.m
................\A Particle Swarm Optimization (PSO) Primer.pdf
................\DemoPSOBehavior.m
................\goplotpso.m
................\goplotpso4demo.m
................\hiddenutils
................\...........\forcecol.m
................\...........\forcerow.m
................\...........\linear_dyn.m
................\...........\normmat.m
................\...........\spiral_dyn.m
................\nnet
................\....\demoPSOnet.m
................\....\goplotpso4net.m
................\....\pso_neteval.m
................\....\trainpso.m
................\pso_Trelea_vectorized.m
................\PSO工具箱使用简介.doc
................\ReadME.txt
................\testfunctions
................\.............\ackley.m
................\.............\alpine.m
................\.............\DeJong_f2.m
................\.............\DeJong_f3.m
................\.............\DeJong_f4.m
................\.............\f6.m
................\.............\f6mod.m
................\.............\f6_bubbles_dyn.m
................\.............\f6_linear_dyn.m
................\.............\f6_spiral_dyn.m
................\.............\Foxhole.m
................\.............\Griewank.m
................\.............\NDparabola.m
................\.............\Rastrigin.m
................\.............\Rosenbrock.m
................\.............\tripod.m
................\test_func.m
................\test_main.m