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开关磁阻电机的优化设计探析
引用本文:范银平. 开关磁阻电机的优化设计探析[J]. 煤炭技术, 2011, 30(12)
作者姓名:范银平
作者单位:北华大学,吉林吉林,132013
摘    要:遗传算法已经成功应用到优化问题的领域当中,如何提高算法的收敛速度及改善遗传算法的搜索能力,使遗传算法能够更好地解决优化问题,是目前主要探索的目标之一。文章简要介绍了遗传算法的主要思想,算法的基本步骤及特点和应用领域,并以开关磁阻电机的优化设计为例,探讨了遗传算法在开关磁阻电机中的应用。

关 键 词:遗传算法  控制参数  发展动向  优化设计  背包问题  开关磁阻电机

Research on Optimization Design of Switched Reluctance Motor
FAN Yin-ping. Research on Optimization Design of Switched Reluctance Motor[J]. Coal Technology, 2011, 30(12)
Authors:FAN Yin-ping
Abstract:Genetic algorithms have been successfully applied to a wide variety of problems,In order to effectively solve practical problems,the scholars all over the world have been exploring how to improve its searching performance and avoid the common defect of early trends convergence.This paper briefly introduced the main ideas of genetic algorithms,basic steps,as well as its main characteristics and applications.This paper uses a optimal design of knapsacks problem and SR motor problem as an example to explain the processing,and gives the developmental trends concerning genetic algorithms.
Keywords:genetic algorithms  parameters  new trends  optimal design  knapsacks problem  SRM
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