Title :
Utilizing genetic algorithms for the optimal design of electromagnetic devices
Author :
Üler, G. Fuat ; Mohammed, Osama A. ; Koh, Chang-Seop
Author_Institution :
Dept. of Electr. & Comput. Eng., Florida Int. Univ., Miami, FL, USA
fDate :
11/1/1994 12:00:00 AM
Abstract :
A new technique for the design optimization of electromagnetic devices that adopts the genetic algorithms (GAs) as the search method is presented. The method is applied to the optimization of the shape of a pole face in an electric motor. The electromagnetic analysis of the devices implemented is performed using 2D finite elements. The results show an excellent promise and potential of using GAs as an efficient technique for the optimal design problem
Keywords :
electric motors; electromagnetic devices; finite element analysis; genetic algorithms; search problems; 2D finite elements; design optimization; electric motor; electromagnetic analysis; electromagnetic devices; genetic algorithms; optimal design; pole face shape; search method; Algorithm design and analysis; Design optimization; Electric motors; Electromagnetic analysis; Electromagnetic devices; Finite element methods; Genetic algorithms; Optimization methods; Search methods; Shape;
Journal_Title :
Magnetics, IEEE Transactions on
