Journal
APPLIED MATHEMATICS & INFORMATION SCIENCES
Volume 7, Issue 2, Pages 537-541Publisher
NATURAL SCIENCES PUBLISHING CORP-NSP
DOI: 10.12785/amis/072L24
Keywords
Glowworm swarm optimization; tribe glowworm swarm optimization; flow shop scheduling problem
Categories
Funding
- NSFC [61165015]
- Key Project of Guangxi Science Foundation [2012GXNSFDA053028]
- Guangxi higher school significant scientific research project [201201ZD008]
- ministry of education of China
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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.
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