Please use this identifier to cite or link to this item: https://doi.org/10.1109/20.877639
Title: Genetic algorithm combined with finite element method for robust design of actuators
Authors: Wang, H.T.
Liu, Z.J.
Low, T.S.
Ge, S.S. 
Bi, C.
Issue Date: Jul-2000
Source: Wang, H.T.,Liu, Z.J.,Low, T.S.,Ge, S.S.,Bi, C. (2000-07). Genetic algorithm combined with finite element method for robust design of actuators. IEEE Transactions on Magnetics 36 (4 I) : 1128-1131. ScholarBank@NUS Repository. https://doi.org/10.1109/20.877639
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.
Source Title: IEEE Transactions on Magnetics
URI: http://scholarbank.nus.edu.sg/handle/10635/62255
ISSN: 00189464
DOI: 10.1109/20.877639
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