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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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Publicado en:Scientific World Journal pp. 375358 - 375359
Autores principales: Obagbuwa, I C, Adewumi, A O
Formato: research Journal Article
Publicado: Wiley-Blackwell 2014
Acceso en línea:Ver este registro en EBSCOhost
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      jtl: Scientific World Journal
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      dt: 2014
      pid: 480
      pub: Wiley-Blackwell
      place: Malden, Massachusetts
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        10.1155/2014/375358
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      formats:
      tig:
        atl: An improved cockroach swarm optimization.
      aug:
        au:
          Obagbuwa, I C
          Adewumi, A O
        affil: School of Mathematics, Statistics and Computer Science, University of KwaZulu-Natal, Westville, Durban 4000, South Africa.
      sug:
        subj:
          Algorithms
          Artificial Intelligence
          Computer Simulation
          Models, Theoretical
      ab: 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.
      pubtype: Academic Journal
      doctype:
        research
        Journal Article
      ougenre: Article
    language: English
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