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
fDate :
5/1/1995 12:00:00 AM
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;
Journal_Title :
Magnetics, IEEE Transactions on
