Group search optimiser: a brief survey
Changcheng Wei, Juanyan Fang · International Journal of Computing Science and Mathematics · 2013
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.