Group search optimiser: a brief survey
by Changcheng Wei; Juanyan Fang
International Journal of Computing Science and Mathematics (IJCSM), Vol. 4, No. 1, 2013

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.

Online publication date: Sat, 10-May-2014

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