Title: Group search optimiser: a brief survey
Authors: Changcheng Wei; Juanyan Fang
Addresses: 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
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.
Keywords: group search optimisation; GSO; producers; scroungers; rangers; swarm intelligence.
International Journal of Computing Science and Mathematics, 2013 Vol.4 No.1, pp.42 - 50
Received: 07 Oct 2012
Accepted: 15 Mar 2013
Published online: 10 May 2014 *