A genetic algorithm based on immune and chaos

被引：0
|
作者：
Zhang, Jianhua [1 ,2 ]
Liu, Xiaojie [1 ]
Li, Tao [1 ]
Zhang, Nan [2 ]
Liu, Nian [1 ]
Xu, Chun [1 ]
机构：
[1] Sichuan Univ, Sch Comp Sci, Chengdu 610065, Peoples R China
[2] Southwest Univ Nationalities, Sch Comp Sci, Chengdu 610041, Peoples R China
来源：
ICNC 2007: THIRD INTERNATIONAL CONFERENCE ON NATURAL COMPUTATION, VOL 5, PROCEEDINGS | 2007年
基金：
中国国家自然科学基金; 新加坡国家研究基金会;
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
An immune chaos genetic algorithm is presented to keep population's diversity, avoid local optimum and improve performance of genetic algorithm. Immune selection is used to adjust antibody's density, and the advantage of individuals. is exerted. by introducing vaccination. By virtue of the over-spread character Of chaos sequence, it is used to generate the pool of antibody to overcome redundancies. At the same time, searching space is enlarged by using sensitivity of chaos initial value. The result of simulation experiments shows that the algorithm has good performance in the aspects of both the convergence speed and the global optimum.
引用
收藏
页码：239 / +
页数：2
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