DocumentCode :
1541832
Title :
A hybrid technique for the optimal design of electromagnetic devices using direct search and genetic algorithms
Author :
Mohammed, O.A. ; Üler, G.F.
Author_Institution :
Dept. of Electr. & Comput. Eng., Florida Int. Univ., Miami, FL, USA
Volume :
33
Issue :
2
fYear :
1997
fDate :
3/1/1997 12:00:00 AM
Firstpage :
1931
Lastpage :
1934
Abstract :
Genetic algorithms (GAs) have been successfully applied to optimization problems in a variety of applications in electromagnetics. In this paper, GAs are used along with a gradient-based direct search technique. The proposed hybrid optimization procedure was found to be efficient in most of the applications. The strengths of both techniques are used at different stages of the search. A magnetizer example is presented to show the effectiveness of the proposed technique
Keywords :
design engineering; electromagnetic devices; genetic algorithms; search problems; direct search algorithms; electromagnetic devices; electromagnetics; genetic algorithms; gradient-based direct search technique; hybrid technique; magnetizer; optimal design; optimization problems; Design optimization; Electromagnetic devices; Finite element methods; Genetic algorithms; Geometry; Magnetic flux; Magnetic flux density; Magnetic separation; Magnetostatics; Shape control;
fLanguage :
English
Journal_Title :
Magnetics, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9464
Type :
jour
DOI :
10.1109/20.582670
Filename :
582670
Link To Document :
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