DocumentCode
763263
Title
Design optimization of electrical machines using genetic algorithms
Author
Üler, G. Fuat ; Mohammed, Osama A. ; Koh, Chang-Seop
Author_Institution
Dept. of Electr. & Comput. Eng., Florida Int. Univ., Miami, FL, USA
Volume
31
Issue
3
fYear
1995
fDate
5/1/1995 12:00:00 AM
Firstpage
2008
Lastpage
2011
Abstract
The application of genetic algorithms (GAs) to the design optimization of electromagnetic devices is presented in detail. The method is demonstrated on a magnetizer by optimizing its pole face to obtain the desired magnetic flux density distribution. The shape of the pole face is constructed from the control points by means of uniform nonrational b-splines
Keywords
electric machines; genetic algorithms; magnetic flux; splines (mathematics); design optimization; electrical machines; electromagnetic devices; genetic algorithms; magnetic flux density distribution; pole face shape; uniform nonrational b-splines; Application software; Biological cells; Biological system modeling; Decoding; Design optimization; Electromagnetic devices; Evolution (biology); Genetic algorithms; Magnetic flux; Shape control;
fLanguage
English
Journal_Title
Magnetics, IEEE Transactions on
Publisher
ieee
ISSN
0018-9464
Type
jour
DOI
10.1109/20.376437
Filename
376437
Link To Document