A fast global optimizer based on improved CS-RBF and stochastic optimal algorithm

Author

Ho, S.L. ; Yang, Shiyou ; Ni, Guangzheng ; Wong, H.C.

Author_Institution

Dept. of Electr. Eng., Hong Kong Polytech. Univ.

Volume

42

Issue

4

fYear

2006

fDate

4/1/2006 12:00:00 AM

Firstpage

1175

Lastpage

1178

Abstract

An improved compactly supported radial basis function is proposed as a response surface model in the study of computationally heavy design problems. A new interpolation formula is introduced to enhance the interpolation accuracy on boundary derivatives and the proposed response surface model is then combined with stochastic algorithms in the design of a fast global optimizer. Numerical results are reported to demonstrate the generality and the robustness of the proposed works

Keywords

electromagnetic devices; interpolation; optimisation; radial basis function networks; response surface methodology; boundary derivatives; compactly supported radial basis function; computationally heavy design problems; fast global optimizer; interpolation formula; response surface model; stochastic optimal algorithm; Algorithm design and analysis; Computer industry; Design optimization; Educational institutions; Interpolation; Inverse problems; Polynomials; Response surface methodology; Robustness; Stochastic processes; Compact support; global optimization; inverse problem; radial basis function; response surface model;

fLanguage

English

Journal_Title

Magnetics, IEEE Transactions on

Publisher

ieee

ISSN

0018-9464

Type

jour

DOI

10.1109/TMAG.2006.871429

Filename

1608421