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

Volume

41

Issue

5

fYear

2005

fDate

5/1/2005 12:00:00 AM

Firstpage

1760

Lastpage

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.

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;

fLanguage

English

Journal_Title

Magnetics, IEEE Transactions on

Publisher

ieee

ISSN

0018-9464

Type

jour

DOI

10.1109/TMAG.2005.846031

Filename

1430959