Immunity clone algorithm with particle swarm evolution

被引：5
|
作者：
Liu Li-jue [1 ]
Cai Zi-xing
Chen Hong
机构：
[1] Cent S Univ, Sch Informat Sci & Engn, Changsha 410075, Peoples R China
[2] Jilin Univ, Sch Commun Engn, Dept Control Sci & Engn, Changchun 130025, Peoples R China
来源：
JOURNAL OF CENTRAL SOUTH UNIVERSITY OF TECHNOLOGY | 2006年 / 13卷 / 06期
基金：
中国国家自然科学基金;
关键词：
immunity; particle swarm optimization; clone; mutation;
D O I：
10.1007/s11771-006-0017-5
中图分类号：
TF [冶金工业];
学科分类号：
0806 ;
摘要：
Combining the clonal selection mechanism of the immune system with the evolution equations of particle swarm optimization, an advanced algorithm was introduced for functions optimization. The advantages of this algorithm lies in two aspects. Via immunity operation, the diversity of the antibodies was maintained, and the speed of convergent was improved by using particle swarm evolution equations. Simulation programme and three functions were used to check the effect of the algorithm. The advanced algorithm were compared with clonal selection algorithm and particle swarm algorithm. The results show that this advanced algorithm can converge to the global optimum at a great rate in a given range, the performance of optimization is improved effectively.
引用
收藏
页码：703 / 706
页数：4
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