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.

DOI: 10.1504/IJCSM.2013.054682

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 *

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