基于免疫遗传算法的智能化电磁电器全局优化设计  

Optimal design of intelligent electromagnetic devices based on immune genetic algorithm

作　　者：陈丽安[1] 张培铭[1] 缪希仁[1] 

机构地区：[1]福州大学电气工程系,福建福州350002

出　　处：《电工电能新技术》2003年第1期17-20,38,共5页Advanced Technology of Electrical Engineering and Energy

基　　金：福建省自然科学基金资助项目(E0210015);福州大学科技发展基金资助项目(XKJ(QD) 0136)

摘　　要：文章用一种免疫遗传算法(ImmuneGeneticAlgorithm,简称IGA)对智能化电磁电器进行结构及控制参数优化设计。该算法在保留基本遗传算法(SimpleGeneticAlgorithm,简称SGA)随机全局搜索能力的基础上,引进了生物免疫系统中的抗原记忆、抗体促进与抑制、抗体多样性保持等机制。实验结果表明,基于免疫原理的遗传算法可有效改善基本遗传算法未成熟收敛等缺陷,提高全局搜索的效率及能力,在智能化电磁电器全局优化设计中取得了满意的结果。A kind of Immune Genetic Algorithm(IGA) is applied to optimal design of the control and structure parameters of intelligent electromagnetic device in this paper. Besides the ability of stochastic global searching of Simple Genetic Algorithm (SGA), the IGA involves the mechanisms which exist in biological immune system such as antigen memory, antibody encouragement and restraint ,antibody diversitykeeping, etc. The experiment results showed that IGA can overcome the disadvantages of immature convergence of SGA, and improve the global searching efficiency and capability. This algorithm has been successfully used in the optimal design to the intelligent electromagnetic devices.

关 键 词：免疫遗传算法 智能化电磁电器 全局优化设计 智能化交流接触器 目标函数 

分 类 号：TM572.2[电气工程—电器]