文件名称:DGPSO
- 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:
- 37kb
- 下载次数:
- 2次
- 提 供 者:
- 李*
- 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
用于求解约束优化问题的算法,算法为差分进化/遗传算法/微粒群算法的融合。对于“[7] T. P. Runarsson and X. Yao, Stochastic ranking for constrained evolutionary optimization, IEEE Trans. Evol. Comput., vol. 4, no. 3, pp. 284-294, Sep. 2000”中给出的13个标准测试函数,均能得到问题最优解。如有任何疑问,请于http://2shi.phphubei.com.cn/index.php发帖询问,本人将详细解答。-Solving constrained optimization problems for the algorithm, Algorithm for Differential Evolution/Genetic Algorithm/Particle Swarm Optimization integration. For " [7] TP Runarsson and X. Yao, Stochastic ranking for constrained evolutionary optimization, IEEE Trans. Evol. Comput., Vol. 4, no. 3, pp. 284-294, Sep. 2000" given in 13 standard test functions, the optimal solution can be the problem. If you have any questions, please post http://2shi.phphubei.com.cn/index.php asked, I will answer in detail.
相关搜索: 遗传算法
DGPSO
differential
evolution
差分进化
particle
swarm
constrained
optimization
optimization
constrained
约束
优化
stochastic
genetic
algorithm
DGPSO
differential
evolution
差分进化
particle
swarm
constrained
optimization
optimization
constrained
约束
优化
stochastic
genetic
algorithm
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下载文件列表
DGPSO
.....\DEOption.m
.....\DGPSO.p
.....\Main.m
.....\MyCompare.m
.....\MyMin.m
.....\MySelectMin.m
.....\MySort.m
.....\MyTwoF.m
.....\SCG01.m
.....\SCG01.mat
.....\SCG02.m
.....\SCG02.mat
.....\SCG03.m
.....\SCG03.mat
.....\SCG04.m
.....\SCG04.mat
.....\SCG05.m
.....\SCG05.mat
.....\SCG06.m
.....\SCG06.mat
.....\SCG07.m
.....\SCG07.mat
.....\SCG08.m
.....\SCG08.mat
.....\SCG09.m
.....\SCG09.mat
.....\SCG10.m
.....\SCG10.mat
.....\SCG11.m
.....\SCG11.mat
.....\SCG12.m
.....\SCG12.mat
.....\SCG13.m
.....\SCG13.mat
.....\DEOption.m
.....\DGPSO.p
.....\Main.m
.....\MyCompare.m
.....\MyMin.m
.....\MySelectMin.m
.....\MySort.m
.....\MyTwoF.m
.....\SCG01.m
.....\SCG01.mat
.....\SCG02.m
.....\SCG02.mat
.....\SCG03.m
.....\SCG03.mat
.....\SCG04.m
.....\SCG04.mat
.....\SCG05.m
.....\SCG05.mat
.....\SCG06.m
.....\SCG06.mat
.....\SCG07.m
.....\SCG07.mat
.....\SCG08.m
.....\SCG08.mat
.....\SCG09.m
.....\SCG09.mat
.....\SCG10.m
.....\SCG10.mat
.....\SCG11.m
.....\SCG11.mat
.....\SCG12.m
.....\SCG12.mat
.....\SCG13.m
.....\SCG13.mat