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
fDate :
7/1/2000 12:00:00 AM
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;
Journal_Title :
Magnetics, IEEE Transactions on
