Please use this identifier to cite or link to this item:
|Title:||Genetic algorithm combined with finite element method for robust design of actuators|
|Citation:||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|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Feb 12, 2019
checked on Jan 12, 2019
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.