Application of immune genetic algorithm to multiobjective optimization

被引：0
|
作者：
Xu, Jun [1 ]
Liu, Li [1 ]
Xu, Wenbo [1 ]
机构：
[1] So Yangtze Univ, Sch Informat Technol, Wuxi 214122, Jiangsu, Peoples R China
来源：
DCABES 2006 Proceedings, Vols 1 and 2 | 2006年
关键词：
simple genetic algorithm; immune algorithm; immune genetic algorithm; convergence;
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：
In this paper, immune genetic algorithm is proposed for multiobjective optimization problems by introducing the capability of the immune system to the simple genetic algorithm. The optimizing ability of the proposed algorithm is identified by comparing the result of optimization with the simple genetic algorithm. Immune genetic algorithm owns the better convergence than the simple genetic algorithm.
引用
收藏
页码：1048 / 1050
页数：3
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