A New Particle Swarm Optimization Algorithm with Adaptive Mutation Operator

被引：2

作者：

Gao, Yuelin ^{[1
]}

Duan, Yuhong ^{[2
]}

机构：

[1] North Natl Univ, Res Inst Informat & Syst Sci, Yin Chuan 750021, Peoples R China

[2] Ningxia Univ, Sch Math & Comp, Yin Chuan 750021, Peoples R China

来源：

ICIC 2009: SECOND INTERNATIONAL CONFERENCE ON INFORMATION AND COMPUTING SCIENCE, VOL 1, PROCEEDINGS: COMPUTING SCIENCE AND ITS APPLICATION | 2009年

关键词：

Particle Swarm Optimization; Adaptive Mutation Operator;

D O I：

10.1109/ICIC.2009.22

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

The paper presents a new particle swarm optimization algorithm with adaptive mutation operator. In the algorithm, a new adaptive mutation operator is given by fitness variance and space position aggregation degree and implemented at the best position of each particle at each iteration. The experiments on six problems show that the modified PSO algorithm can increases diversity of swarm and greatly enhance the ability to leap the local optimization.

引用

页码：58 / +

页数：2

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