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A genetic algorithm combined with finite element method for robust design of actuators

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5 Author(s)
Wang, H.T. ; Data Storage Inst., Singapore ; Liu, Z.J. ; Low, T.S. ; Ge, S.S.
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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

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Magnetics, IEEE Transactions on  (Volume:36 ,  Issue: 4 )