A Glowworm Swarm Optimization Algorithm Based Tribes

被引：36

作者：

Zhou, Yongquan ^{[1
,2
]}

Zhou, Guo ^{[3
]}

Wang, Yingju ^{[1
]}

Zhao, Guangwei ^{[1
]}

机构：

[1] Guangxi Univ Nationalities, Coll Informat Sci & Engn, Nanning 530006, Peoples R China

[2] Guangxi Key Lab Hybrid Computat & IC Design Anal, Nanning 530006, Peoples R China

[3] Chinese Acad Sci, Comp Technol Inst, Beijing 100081, Peoples R China

来源：

APPLIED MATHEMATICS & INFORMATION SCIENCES | 2013年 / 7卷 / 02期

关键词：

Glowworm swarm optimization; tribe glowworm swarm optimization; flow shop scheduling problem;

D O I：

10.12785/amis/072L24

中图分类号：

O29 [应用数学];

学科分类号：

070104 ;

摘要：

This paper based on the metaphor of specialization and cooperation in steppe tribes of the human society, tribe glowworm swarm optimization (TGSO) algorithm was presented to solve the problem of low precision and easy to fall into local optimization of the glowworm swarm optimization (GSO) algorithm. In the proposed tribe glowworm swarm optimization approach, all glowworms are divided into a certain tribes. Finally, the flow shop scheduling problem is utilized to illustrate the effectiveness of the proposed tribe glowworm swarm optimization approach.

引用

页码：537 / 541

页数：5

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