A cooperative co-evolutionary particle swarm optimization algorithm based on niche sharing scheme for function optimization

被引：0
|
作者：
Chen Q. [1 ]
Binjiao [2 ]
Yan S. [3 ]
机构：
[1] Electronic Information School, Shanghai DianJi University, Min Hang District, Shanghai 200240, No. 690, Jiang Chuan Rd.
[2] Electric School, Shanghai DianJi University, Min Hang District, Shanghai 200240, No. 690, Jiang Chuan Rd.
[3] School of Information Science and Engineering, East China University of Science and Technology, Shanghai 200370, No. 130, Mei Long Rd.
来源：
Advances in Intelligent and Soft Computing | 2011年 / 105卷
关键词：
Cooperative Co-evolutionary approach; Function Optimization; Niche Sharing Scheme; Particle swarm optimization;
D O I：
10.1007/978-3-642-23756-0_55
中图分类号：
学科分类号：
摘要：
This paper proposes a novel cooperative co-evolutionary particle swarm optimization algorithm combined with niche sharing scheme to solve function optimization problem. As the core of this algorithm, niche sharing scheme strengthens diversity of population and improves the quality of individuals. In the experiment, eight benchmark functions are selected to evaluate the performance of the novel algorithm. The simulation shows that NCPSO algorithm finds the better solutions for every function than that by PSO and CPSO. Therefore, NCPSO is a more effective and efficient algorithm in comparison with PSO and CPSO. © 2011 Springer-Verlag Berlin Heidelberg.
引用
收藏
页码：339 / 345
页数：6
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