An Improved Cockroach Swarm Optimization

An Improved Cockroach Swarm Optimization

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 pa...

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Main Authors: I. C. Obagbuwa, A. O. Adewumi
Format: Article
Language:English
Published: Hindawi Limited 2014-01-01
Series:The Scientific World Journal
Online Access:http://dx.doi.org/10.1155/2014/375358
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spelling doaj-f57825b2bca04aca94a9d6e7ffaf862f2020-11-25T02:46:53ZengHindawi LimitedThe Scientific World Journal2356-61401537-744X2014-01-01201410.1155/2014/375358375358An Improved Cockroach Swarm OptimizationI. C. Obagbuwa0A. O. Adewumi1School of Mathematics, Statistics and Computer Science, University of KwaZulu-Natal, Westville, Durban 4000, South AfricaSchool of Mathematics, Statistics and Computer Science, University of KwaZulu-Natal, Westville, Durban 4000, South AfricaHunger 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.http://dx.doi.org/10.1155/2014/375358
collection DOAJ
language English
format Article
sources DOAJ
author I. C. Obagbuwa
A. O. Adewumi
spellingShingle I. C. Obagbuwa
A. O. Adewumi
An Improved Cockroach Swarm Optimization
The Scientific World Journal
author_facet I. C. Obagbuwa
A. O. Adewumi
author_sort I. C. Obagbuwa
title An Improved Cockroach Swarm Optimization
title_short An Improved Cockroach Swarm Optimization
title_full An Improved Cockroach Swarm Optimization
title_fullStr An Improved Cockroach Swarm Optimization
title_full_unstemmed An Improved Cockroach Swarm Optimization
title_sort improved cockroach swarm optimization
publisher Hindawi Limited
series The Scientific World Journal
issn 2356-6140
1537-744X
publishDate 2014-01-01
description 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.
url http://dx.doi.org/10.1155/2014/375358
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AT aoadewumi animprovedcockroachswarmoptimization
AT icobagbuwa improvedcockroachswarmoptimization
AT aoadewumi improvedcockroachswarmoptimization
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