An adaptive interpolating moving least squares response surface model applied to the design optimizations of electromagnetic devices

Siu Lau Ho; P. H. Ni; S. Y. Yang; K. F. Wong

doi:10.1109/CEFC-06.2006.1632851

An adaptive interpolating moving least squares response surface model applied to the design optimizations of electromagnetic devices

Siu Lau Ho, P. H. Ni, S. Y. Yang, K. F. Wong

The Hong Kong Polytechnic University

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

1 Citation (Scopus)

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.

Original language	English
Title of host publication	12th Biennial IEEE Conference on Electromagnetic Field Computation, CEFC 2006
DOIs	https://doi.org/10.1109/CEFC-06.2006.1632851
Publication status	Published - 21 Nov 2006
Event	12th Biennial IEEE Conference on Electromagnetic Field Computation, CEFC 2006 - Miami, FL, United States Duration: 30 Apr 2006 → 3 May 2006

Conference

Conference	12th Biennial IEEE Conference on Electromagnetic Field Computation, CEFC 2006
Country/Territory	United States
City	Miami, FL
Period	30/04/06 → 3/05/06

ASJC Scopus subject areas

General Engineering

More information

10.1109/CEFC-06.2006.1632851

http://hdl.handle.net/10397/887

Cite this

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title = "An adaptive interpolating moving least squares response surface model applied to the design optimizations of electromagnetic devices",

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.",

author = "Ho, \{Siu Lau\} and Ni, \{P. H.\} and Yang, \{S. Y.\} and Wong, \{K. F.\}",

year = "2006",

month = nov,

day = "21",

doi = "10.1109/CEFC-06.2006.1632851",

language = "English",

isbn = "1424403200",

booktitle = "12th Biennial IEEE Conference on Electromagnetic Field Computation, CEFC 2006",

note = "12th Biennial IEEE Conference on Electromagnetic Field Computation, CEFC 2006 ; Conference date: 30-04-2006 Through 03-05-2006",

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Ho, SL, Ni, PH, Yang, SY & Wong, KF 2006, An adaptive interpolating moving least squares response surface model applied to the design optimizations of electromagnetic devices. in 12th Biennial IEEE Conference on Electromagnetic Field Computation, CEFC 2006., 1632851, 12th Biennial IEEE Conference on Electromagnetic Field Computation, CEFC 2006, Miami, FL, United States, 30/04/06. https://doi.org/10.1109/CEFC-06.2006.1632851

An adaptive interpolating moving least squares response surface model applied to the design optimizations of electromagnetic devices. / Ho, Siu Lau; Ni, P. H.; Yang, S. Y. et al.
12th Biennial IEEE Conference on Electromagnetic Field Computation, CEFC 2006. 2006. 1632851.

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

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T1 - An adaptive interpolating moving least squares response surface model applied to the design optimizations of electromagnetic devices

AU - Ho, Siu Lau

AU - Ni, P. H.

AU - Yang, S. Y.

AU - Wong, K. F.

PY - 2006/11/21

Y1 - 2006/11/21

N2 - 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.

AB - 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.

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DO - 10.1109/CEFC-06.2006.1632851

M3 - Conference article published in proceeding or book

SN - 1424403200

SN - 9781424403202

BT - 12th Biennial IEEE Conference on Electromagnetic Field Computation, CEFC 2006

T2 - 12th Biennial IEEE Conference on Electromagnetic Field Computation, CEFC 2006

Y2 - 30 April 2006 through 3 May 2006

ER -

An adaptive interpolating moving least squares response surface model applied to the design optimizations of electromagnetic devices

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