An Adaptive Interpolating Moving Least Squares Response Surface Model Applied to the Design Optimizations of Electromagnetic Devices

Author

Ho, S.L. ; Ni, P.H. ; Yang, S.Y. ; Wong, K.F.

Author_Institution

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

fYear

0

fDate

0-0 0

Firstpage

59

Lastpage

59

Abstract

A response surface model (RSM) based on a combination of interpolating moving least squares (IMLS) and multi-step method is proposed. The proposed RSM can automatically adjust the supports of its weight functions according to the distribution of the sampling points when it is used to reconstruct a computationally heavy design problem. The TEAM Workshop Problem 22 is solved to demonstrate the feasibility of the proposed method for solving inverse problems

Keywords

electromagnetic devices; interpolation; least squares approximations; response surface methodology; TEAM Workshop Problem 22; adaptive interpolating moving least squares; design optimizations; electromagnetic devices; inverse problems; multistep method; response surface model; weight functions; Design optimization; Distributed computing; Electromagnetic devices; Electromagnetic modeling; Interpolation; Inverse problems; Least squares methods; Response surface methodology; Sampling methods; Surface reconstruction;

fLanguage

English

Publisher

ieee

Conference_Titel

Electromagnetic Field Computation, 2006 12th Biennial IEEE Conference on

Conference_Location

Miami, FL

Print_ISBN

1-4244-0320-0

Type

conf

DOI

10.1109/CEFC-06.2006.1632851

Filename

1632851