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Volume 299 - The 7th International Conference on Computer Engineering and Networks (CENet2017) - Session I - Machine Learning
A Study on Improved Cockroach Swarm Optimization Algorithm
L. Cheng,* Y.h. Song, M.a. Shib, Y.j. Zhai, Y.t. Bian
*corresponding author
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Pre-published on: 2017 July 17
Published on: 2017 September 06
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 the original CSO algorithms
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