An Improved Cockroach Swarm Optimization. (14th May 2014)

• Record Type: Journal Article
• Authors: Obagbuwa, I. C.; Adewumi, A. O.
• Other Names: Agarwal P. Academic Editor.; Balochian S. Academic Editor.; Bhatnagar V. Academic Editor.; Zhang Y. Academic Editor.
• Is Part Of: TheScientificWorldjournal. Volume 2014(2014)
• Publication Date: 2014-05-14
• Subjects: Science -- Periodicals; Technology -- Periodicals; Medicine -- Periodicals; 505
• DOI: 10.1155/2014/375358
• Languages: English
• ISSNs: 2356-6140

Abstract

Abstract : Hunger component is introduced to the existing cockroach swarm optimization (CSO) algorithm to improve its searching ability and population diversity. The original CSO was modelled with three components: chase-swarming, dispersion, and ruthless; additional hunger component which is modelled using partial differential equation (PDE) method is included in this paper. An improved cockroach swarm optimization (ICSO) is proposed in this paper. The performance of the proposed algorithm is tested on well known benchmarks and compared with the existing CSO, modified cockroach swarm optimization (MCSO), roach infestation optimization RIO, and hungry roach infestation optimization (HRIO). The comparison results show clearly that the proposed algorithm outperforms the existing algorithms.