Research on Dynamic Clonal Selection Algorithm Combined with Artificial Fish School

Yu Ling Tian; Yu Hao Liu

doi:10.4028/www.scientific.net/AMM.63-64.552

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 63-64Research on Dynamic Clonal Selection Algorithm...

Research on Dynamic Clonal Selection Algorithm Combined with Artificial Fish School

Abstract:

As in the dynamic clone selection algorithm, the detector use factor is low, the overall importance is bad, this article proposed that the behavior of follows, gathers which has the overall importance and the rapid convergence in the artificial school of fish algorithm applicant in the dynamic clone selection algorithm detector generation phase. Meanwhile, the efficiency of algorithm is improved, and many questions which stochastically the detector takes are solved. The simulation experiment indicated that the improved algorithm has the advantage of the artificial school fish algorithm and made up the question that earlier period to restrain slowly, the detector production efficiency low in its own system.

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Periodical:

Applied Mechanics and Materials (Volumes 63-64)

Pages:

552-556

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.63-64.552

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Online since:

June 2011

Authors:

Yu Ling Tian, Yu Hao Liu

Keywords:

Artificial Fish, Artificial Immune, Dynamic Clonal Selection Algorithm

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