Application of vector optimization employing modified genetic algorithm to permanent magnet motor design

被引：22

作者：

Sim, DJ ^{[1
]}

Jung, HK ^{[1
]}

Hahn, SY ^{[1
]}

Won, JS ^{[1
]}

机构：

[1] SEOUL NATL UNIV,SCH ELECT ENGN,KWANAK GU,SEOUL 151742,SOUTH KOREA

来源：

IEEE TRANSACTIONS ON MAGNETICS | 1997年 / 33卷 / 02期

关键词：

D O I：

10.1109/20.582654

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper presents a method to solve the vector optimization problem that determines both the noninferior solution set and the best compromise solution employing a modified genetic algorithm. The algorithm differs from the conventional one in the definition of fitness value and convergence criterion. Some parameters of the algorithm are adjusted to the vector optimization. The algorithm also contains the additional routine for searching the best compromise solution. This method is applied to the optimal design of the Permanent Magnet Synchronous Motor for which two objective functions regarding motor efficiency and weight are used.

引用

页码：1888 / 1891

页数：4