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|Title:||An adaptive optimal strategy based on the combination of the dynamic-Q optimization method and response surface methodology|
Wong, Ho-ching Chris
Response surface methodology
|Source:||IEEE transactions on magnetics, May 2005, v. 41, no. 5, p. 1760-1763|
|Abstract:||The dynamic-Q optimization method is combined with an interpolating moving least-squares approximation-based response surface model to design an efficient adaptive strategy for solving computationally heavy design problems. The proposed optimal strategy is validated by comparing its performances in finding the solutions of other common optimal methods on two different kinds of problems.|
|Rights:||© 2005 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.|
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|Appears in Collections:||EE Journal/Magazine Articles|
IC Journal/Magazine Articles
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