A Cooperative Co-evolutionary Particle Swarm Optimization Algorithm Based on Niche Sharing Scheme for Function Optimization

被引：0

作者：

Chen, Qunxian ^{[1
]}

BinJiao ^{[2
]}

Yan, Shaobin ^{[3
]}

机构：

[1] Shanghai DianJi Univ, Elect Informat Sch, 690 Jiang Chuan Rd, Shanghai 200240, Peoples R China

[2] Shanghai DianJi Univ, Elect Sch, Shanghai 200240, Peoples R China

[3] East China Univ Sci & Technol, Sch Informat Sci & Engn, Shanghai 200370, Peoples R China

来源：

ADVANCES IN COMPUTER SCIENCE, INTELLIGENT SYSTEM AND ENVIRONMENT, VOL 2 | 2011年 / 105卷

关键词：

Cooperative Co-evolutionary approach; Particle swarm optimization; Niche Sharing Scheme; Function Optimization;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

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.

引用

页码：339 / +

页数：3

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