DocumentCode
1429149
Title
Genetic algorithm and Taylor development of the finite element solution for shape optimization of electromagnetic devices
Author
Saludjian, L. ; Coulomb, J.l. ; Izabelle, A.
Author_Institution
Lab. d´´Electrotech. de Grenoble, CNRS, St. Martin d´´Heres, France
Volume
34
Issue
5
fYear
1998
fDate
9/1/1998 12:00:00 AM
Firstpage
2841
Lastpage
2844
Abstract
This paper presents the optimization of an electromagnetic superconducting device by a genetic algorithm. To avoid the great computational cost of finite elements evaluations, we chose to couple our genetic algorithm with a fast evaluation method based on high derivatives and Taylor development of the finite element solution
Keywords
electromagnetic devices; finite element analysis; genetic algorithms; superconducting coils; superconducting magnets; EM device optimization; EM superconducting device; Taylor development; electromagnetic devices; fast evaluation method; finite element solution; genetic algorithm; high derivatives; shape optimization; Computational efficiency; Electromagnetic devices; Finite element methods; Genetic algorithms; Genetic mutations; Leg; Partial response channels; Shape; Superconducting devices; Superconducting magnets;
fLanguage
English
Journal_Title
Magnetics, IEEE Transactions on
Publisher
ieee
ISSN
0018-9464
Type
jour
DOI
10.1109/20.717661
Filename
717661
Link To Document