Immune genetic algorithm and its application in optimal design of intelligent AC contactors

被引：0

作者：

Chen, Li-an ^{[1
]}

Zhang, Peiming

机构：

[1] Xiamen Univ Technol, Dept Elect Engn, Xiamen, Peoples R China

[2] Fuzhou Univ, Dept Elect Engn, Fuzhou, Peoples R China

来源：

PRICAI 2006: TRENDS IN ARTIFICIAL INTELLIGENCE, PROCEEDINGS | 2006年 / 4099卷

关键词：

evolutionary computing; optimal design; contactor;

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 application of Immune Genetic Algorithm (IGA) suitable for the optimal design to intelligent AC contactors is presented in this paper. Besides the ability of stochastic global searching of Simple Genetic Algorithm (SGA), t he IGA draws into the mechanisms exist in biological immune system such as immune memory, immune regulation, antibody diversity and others. The simulation results show that IGA overcomes the disadvantages of premature convergence of SGA, and improve the global searching efficiency and capability. This algorithm has been successfully used in the optimal design to the intelligent AC contactors.

引用

页码：934 / 939

页数：6

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