Begtostudy(白途思)'s Academic Blog分享 http://blog.sciencenet.cn/u/begtostudy 欢迎访问Begtostudy的学术blog!--不要小聪明,寻找大智慧!

博文

PSO粒子群优化算法Matlab工具箱

已有 13825 次阅读 2010-4-6 23:40 |个人分类:技术探讨|系统分类:科研笔记

PSO做实数优化有自身特性优势。而且全局寻优性能比较好。
只是该工具箱中的Trelea, Clerc两种类型的PSO我不了解,正在找这方面的资料看看。

Robust Particle Swarm toolbox implementing Trelea, Common, and Clerc types along with an alpha version of change detection.

This toolbox is designed for researchers in Computational Intelligence as well as application developers, students, and classroom labs. It is robust enough that several papers have been developed using it but it is also in constant development and very easy to hack. Users of MATLAB's Optimization Toolbox should feel right at home but even if you don't use that toolbox this will be easy to figure. Extensive help is included.

Anyone from serious AI researchers to beginning students should get something out of this.

This toolbox is constantly evolving and I welcome suggestions.

Current feature set:
* Trelea, Clerc, and Common Types
* Vectorized and non-vectorized versions, you can investigate thousands of particles at once with the proper cost function.
* custom plotting plug ins
* neural net trainer (requires Matlab's neural net toolbox)
* PDF Particle Swarm Introduction
* Alpha version of change detection, will track dynamic environments
* includes suite of test functions commonly used in the CI/optimization community.

主页:
http://www.mathworks.com/matlabcentral/fileexchange/7506-particle-swarm-optimization-toolbox


https://wap.sciencenet.cn/blog-234554-309568.html

上一篇:MOGA多目标遗传算法Matlab工具箱 NSGA-II
下一篇:最近科研感受:五雷轰顶与柳暗花明
收藏 IP: .*| 热度|

0

发表评论 评论 (1 个评论)

数据加载中...
扫一扫,分享此博文

Archiver|手机版|科学网 ( 京ICP备07017567号-12 )

GMT+8, 2024-9-1 10:16

Powered by ScienceNet.cn

Copyright © 2007- 中国科学报社

返回顶部