An Improved Cockroach Swarm Optimization
Joint Authors
Adewumi, Aderemi Oluyinka
Obagbuwa, I. C.
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-05-14
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
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.
American Psychological Association (APA)
Obagbuwa, I. C.& Adewumi, Aderemi Oluyinka. 2014. An Improved Cockroach Swarm Optimization. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-13.
https://search.emarefa.net/detail/BIM-1049383
Modern Language Association (MLA)
Obagbuwa, I. C.& Adewumi, Aderemi Oluyinka. An Improved Cockroach Swarm Optimization. The Scientific World Journal No. 2014 (2014), pp.1-13.
https://search.emarefa.net/detail/BIM-1049383
American Medical Association (AMA)
Obagbuwa, I. C.& Adewumi, Aderemi Oluyinka. An Improved Cockroach Swarm Optimization. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-13.
https://search.emarefa.net/detail/BIM-1049383
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1049383
