Novel niching genetic algorithm for the electric power scheduling

被引：0

作者：

Liu, Xiaoyong ^{[1
]}

机构：

[1] Department of Computer Science, Guangdong Polytechnic Normal University, Guangzhou 510665, China

来源：

Journal of Information and Computational Science | 2007年 / 4卷 / 04期

关键词：

Cauchy mutation - Electric power scheduling - ICNGA - Search ability;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

A novel niching genetic algorithm called ICNGA is proposed in this paper. The new algorithm has mainly two innovations, mutation operator and new distance between individuals. Two numerical functions are chose to compare the calculated result by SGA, CNGA and ICNGA. The results show that ICNGA has strong search ability and is easy to find the global optimums than SGA and CNGA. ICNGA works well in the problem of electric power scheduling.

引用

页码：1179 / 1184