Please use this identifier to cite or link to this item: https://doi.org/10.1109/20.877639
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dc.titleGenetic algorithm combined with finite element method for robust design of actuators
dc.contributor.authorWang, H.T.
dc.contributor.authorLiu, Z.J.
dc.contributor.authorLow, T.S.
dc.contributor.authorGe, S.S.
dc.contributor.authorBi, C.
dc.date.accessioned2014-10-07T02:58:11Z
dc.date.available2014-10-07T02:58:11Z
dc.date.issued2000-07
dc.identifier.citationWang, 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. <a href="https://doi.org/10.1109/20.877639" target="_blank">https://doi.org/10.1109/20.877639</a>
dc.identifier.issn00189464
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/80499
dc.description.abstractThis 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.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1109/20.877639
dc.sourceScopus
dc.typeArticle
dc.contributor.departmentELECTRICAL ENGINEERING
dc.description.doi10.1109/20.877639
dc.description.sourcetitleIEEE Transactions on Magnetics
dc.description.volume36
dc.description.issue4 I
dc.description.page1128-1131
dc.description.codenIEMGA
dc.identifier.isiutNOT_IN_WOS
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