Group search optimiser: a brief survey. (1st January 2013)

• Record Type: Journal Article
• Authors: Wei, Changcheng; Fang, Juanyan
• Is Part Of: International journal of computing science and mathematics. Volume 4:Number 1(2013)
• Page Start: 42
• Page End: 50
• Publication Date: 2013-01-01
• Subjects: group search optimiser -- GSO -- producer -- scroungers -- rangers; Mathematics -- Periodicals; Computer science -- Periodicals; Mathematics -- Data processing -- Periodicals; 510.285
• Languages: English
• ISSNs: 1752-5055

Abstract

Group search optimiser (GSO) is a new swarm methodology algorithm inspired by animal behaviour. In GSO, the total individuals are divided into three kinds: producer, scroungers and rangers. In this paper, we provide a brief survey varying from the member updating strategies, topology and hybridisation. Finally, some future research topics are discussed.