文件名称:PSO-TOOL
- 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:
- 745kb
- 下载次数:
- 0次
- 提 供 者:
- 陈*
- 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
这个压缩包是微粒群优化算法(PSO)工具-MATLAB箱源代码。-The compressed packet is the source code of Particle Swarm Optimization (PSO) instrument of MATLAB.
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(系统自动生成,下载前可以参看下载内容)
下载文件列表
微粒群优化算法工具箱-matlab代码
................................\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
................................\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
................................\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
................................\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