Particle Swarm Optimization with Adaptive Mutation Operator

被引：0

作者：

Chen, Yujuan ^{[1
]}

机构：

[1] Jiangnan Univ, Sch Informat Technol, Jiangsu, Peoples R China

来源：

DCABES 2008 PROCEEDINGS, VOLS I AND II | 2008年

关键词：

particle swarm optimization; premature convergence; mutation;

D O I：

暂无

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

PSO algorithm is one of the useful intelligent algorithms for solving constrained and unconstrained global optimization problems. But a major problem for PSO algorithm is premature convergence in solving multimodal problems. By analyzed the reason of premature convergence, an improved particle swarm optimization (PSO) algorithm based on adaptive mutation operator is developed. The performance of the proposed algorithm is tested by solving two benchmark functions. Experimental results show that the proposed algorithm have better performance.

引用

页码：710 / 713

页数：4

共 6 条

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