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遗传算法电机优化设计简介
引用本文:李鲲鹏,胡虔生.遗传算法电机优化设计简介[J].微特电机,2001,29(4):32-33.
作者姓名:李鲲鹏  胡虔生
作者单位:李鲲鹏(东南大学,南京 210096)       胡虔生(东南大学,南京 210096)
摘    要:介绍了遗传算法的基本思想及其特点,实现了基于遗传算法的电机优化设计,讨论了保证其全局收敛性的方法,最后给出了基于遗传算法的电机优化设计实例。

关 键 词:电机  优化设计  遗传算法  数学模型
文章编号:1004-7018(2001)04-0032-02
修稿时间:2000年12月25

Brief Introduction of Motor Optimizing Design Based on Genetic Algorithms
LI Kun-peng,HU Qian-sheng.Brief Introduction of Motor Optimizing Design Based on Genetic Algorithms[J].Small & Special Electrical Machines,2001,29(4):32-33.
Authors:LI Kun-peng  HU Qian-sheng
Abstract:In this paper,the essence and applications of genetic algorithms are friendly introduced.Based on comparisons between genetic algorithms and conventional methods,the application of genetic algorithm to motor design is implemented.In this process,the methods to improve the global convergence of genetic algorithm are discussed.Finally,the results of the optimization of three-phase electrical machine design based on genetic algorithms are presented.
Keywords:motor optimal design  genetic algorithms (GA)  global convergence
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