DocumentCode
1396943
Title
A genetic algorithm combined with finite element method for robust design of actuators
Author
Wang, H.T. ; Liu, Z.J. ; Low, T.S. ; Ge, S.S. ; Bi, C.
Author_Institution
Data Storage Inst., Singapore
Volume
36
Issue
4
fYear
2000
fDate
7/1/2000 12:00:00 AM
Firstpage
1128
Lastpage
1131
Abstract
This paper describes a design optimization procedure based on a genetic algorithm combined with the finite element method. It adopts the concepts of Orthogonal Array for design parameter settings, and Signal-to-Noise Ratio (S/N) for evaluating the individual fitness. Taking advantage of the unique features of genetic algorithms, the robust solution is achieved by a rapid global search. The approach is applied to the robust design problem of a magnet actuator to demonstrate its effectiveness
Keywords
actuators; finite element analysis; genetic algorithms; actuator; design optimization; finite element method; genetic algorithm; orthogonal array; signal-to-noise ratio; Actuators; Algorithm design and analysis; Bismuth; Design methodology; Design optimization; Finite element methods; Genetic algorithms; Magnetic analysis; Manufacturing; Robustness;
fLanguage
English
Journal_Title
Magnetics, IEEE Transactions on
Publisher
ieee
ISSN
0018-9464
Type
jour
DOI
10.1109/20.877639
Filename
877639
Link To Document