Group search optimiser: a brief survey

Authors:
Changcheng Wei;Juanyan Fang
Affiliations:
Department of Mathematics and Computer, Tongling University, No.1335, Cuihu four Road, Tongling, Anhui, 244061 China;Department of Mathematics and Computer, Tongling University, No.1335, Cuihu four Road, Tongling, Anhui, 244061 China
Venue:
International Journal of Computing Science and Mathematics
Year:
2013

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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.