A Novel Particle Swarm Optimization Based on Population Category

被引：0

作者：

Wang, Jingying ^{[1
]}

Qu, Jianhua ^{[1
]}

机构：

[1] Shandong Normal Univ, Sch Management Sci & Engn, Jinan, Shandong, Peoples R China

来源：

2ND INTERNATIONAL CONFERENCE ON MATERIALS SCIENCE, RESOURCE AND ENVIRONMENTAL ENGINEERING (MSREE 2017) | 2017年 / 1890卷

关键词：

SCHEDULING PROBLEM;

D O I：

10.1063/1.5005252

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

This paper raised a novel particle swarm optimization algorithm based on population category. Traditional particle swarm optimization algorithm is easily to trap in local optimum. In order to avoid standard algorithm appearing premature convergence, this novel algorithm use population category strategy to find new directions for particles. At last, computational results show that the new method is effective and has a high-performance.

引用

页数：4

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