Research on the Population Migration Trend Algorithm based on Artificial Fish Swarm Algorithm

被引：0

作者：

Bi, Xi-Wen ^{[1
]}

Xu, Meng ^{[1
]}

机构：

[1] Beihua Univ, Coll Informat Technol & Media, Jilin 132013, Peoples R China

来源：

PROCEEDINGS OF THE 2016 INTERNATIONAL CONFERENCE ON ENGINEERING AND ADVANCED TECHNOLOGY | 2016年 / 82卷

关键词：

Population Migration Trend Algorithm; Artificial Fish Swarm Algorithm; Convergence;

D O I：

暂无

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

Population migration trend is a new kind of evolutionary algorithm proposed recently, which simulates the principle of Population Migration. In this paper, the new search of mechanism is proposed to predict the population migration trend for the visual effect to the convergence of the ASFA(Artificial Fish Swarm Algorithm). the analysis of experiments is obvious that when searching area contracts, the convergence is improved greatly. The numerical experiments show that the mean iteration generation and the least successfully iteration generation of he randomness of population's movement in PMA is less than that of ASFA. And the convergence algorithm shows better local search ability and convergence stability.

引用

页码：65 / 69

页数：5

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