Title :
An adaptive optimal strategy based on the combination of the dynamic-Q optimization method and response surface methodology
Author :
Yang, Shiyou ; Ho, S.L. ; Ni, Guangzheng ; Wong, H.C.
Author_Institution :
Electr. Eng. Coll., Zhejiang Univ., Hangzhou, China
fDate :
5/1/2005 12:00:00 AM
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.
Keywords :
computational complexity; electromagnetic devices; least squares approximations; optimisation; response surface methodology; adaptive optimal strategy; computationally heavy design problems; dynamic-Q optimization method; global optimization; moving least-squares approximation; optimal design; response surface methodology; Computer industry; Degradation; Design methodology; Design optimization; Educational institutions; Finite difference methods; Multilevel systems; Noise robustness; Optimization methods; Response surface methodology; Dynamic-Q method; global optimization; optimal design; response surface methodology;
Journal_Title :
Magnetics, IEEE Transactions on
DOI :
10.1109/TMAG.2005.846031
