A novel progressive response surface method for high-order polynomial metamodel

The response surface method (RSM) model as a general metamodel has already widely been applied to many practical problems. However, the majority of studies only focus on the 2nd-order terms RSM model instead of how to determine the high-order terms. This paper introduced a novel progressive response...

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Main Authors: Zheng, Guanchao, Mohd Ariffin, Mohd Khairol Anuar, Ahmad, Siti Azfanizam, Abdul Aziz, Nuraini, Wen, Xu
Format: Article
Published: Institute of Physics Publishing Ltd. 2022
Online Access:http://psasir.upm.edu.my/id/eprint/100268/
https://iopscience.iop.org/article/10.1088/1742-6596/2224/1/012045
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Institution: Universiti Putra Malaysia
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spelling my.upm.eprints.1002682024-07-10T06:09:41Z http://psasir.upm.edu.my/id/eprint/100268/ A novel progressive response surface method for high-order polynomial metamodel Zheng, Guanchao Mohd Ariffin, Mohd Khairol Anuar Ahmad, Siti Azfanizam Abdul Aziz, Nuraini Wen, Xu The response surface method (RSM) model as a general metamodel has already widely been applied to many practical problems. However, the majority of studies only focus on the 2nd-order terms RSM model instead of how to determine the high-order terms. This paper introduced a novel progressive response surface method (NPRSM) combining optimal Latin hypercube design (OLHD), moving least square method (MLSM) and statistical test. This NPRSM model can decide the high-order terms by progressive procedure. Then three numerical function can be proposed to validate the accuracy and the approximated performance of the NPRSM model. Institute of Physics Publishing Ltd. 2022-04-19 Article PeerReviewed Zheng, Guanchao and Mohd Ariffin, Mohd Khairol Anuar and Ahmad, Siti Azfanizam and Abdul Aziz, Nuraini and Wen, Xu (2022) A novel progressive response surface method for high-order polynomial metamodel. Journal of Physics: Conference Series, 2224. art. no. 12045. pp. 1-12. ISSN 1742-6596 https://iopscience.iop.org/article/10.1088/1742-6596/2224/1/012045 10.1088/1742-6596/2224/1/012045
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
description The response surface method (RSM) model as a general metamodel has already widely been applied to many practical problems. However, the majority of studies only focus on the 2nd-order terms RSM model instead of how to determine the high-order terms. This paper introduced a novel progressive response surface method (NPRSM) combining optimal Latin hypercube design (OLHD), moving least square method (MLSM) and statistical test. This NPRSM model can decide the high-order terms by progressive procedure. Then three numerical function can be proposed to validate the accuracy and the approximated performance of the NPRSM model.
format Article
author Zheng, Guanchao
Mohd Ariffin, Mohd Khairol Anuar
Ahmad, Siti Azfanizam
Abdul Aziz, Nuraini
Wen, Xu
spellingShingle Zheng, Guanchao
Mohd Ariffin, Mohd Khairol Anuar
Ahmad, Siti Azfanizam
Abdul Aziz, Nuraini
Wen, Xu
A novel progressive response surface method for high-order polynomial metamodel
author_facet Zheng, Guanchao
Mohd Ariffin, Mohd Khairol Anuar
Ahmad, Siti Azfanizam
Abdul Aziz, Nuraini
Wen, Xu
author_sort Zheng, Guanchao
title A novel progressive response surface method for high-order polynomial metamodel
title_short A novel progressive response surface method for high-order polynomial metamodel
title_full A novel progressive response surface method for high-order polynomial metamodel
title_fullStr A novel progressive response surface method for high-order polynomial metamodel
title_full_unstemmed A novel progressive response surface method for high-order polynomial metamodel
title_sort novel progressive response surface method for high-order polynomial metamodel
publisher Institute of Physics Publishing Ltd.
publishDate 2022
url http://psasir.upm.edu.my/id/eprint/100268/
https://iopscience.iop.org/article/10.1088/1742-6596/2224/1/012045
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