A Study on Improved Cockroach Swarm Optimization Algorithm

Abstract

The original cockroach swarm optimization (CSO) algorithm has long been criticized for the problems of "early mature". This paper described a new cockroach-inspired algorithm, which is called CSO with global and local neighborhoods (CSOGL). In CSOGL, two kinds of neighborhood models are designedin order to increase the diversity of promising solution. Based on above two neighborhood models, two kinds of novel chase-swarming behaviors are proposed and applied to CSOGL. The comparison results show that the CSOGL algorithm outperform theoriginal CSO algorithms.