Response surface approximations for engineering optimization

A.J.G. Schoofs; J.J.M. Rijpkema

Response surface approximations for engineering optimization

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Academic › peer-review

Abstract

In these lecture notes attention is focused on the use of Response Surface Models as approximation models in engineering optimization. Common strategies are discussed for efficient model construction, based on principles from statistical experimental design theory. Furthermore, modifications of the experimental design theory will be treated, which are necessary and useful on behalf of numerical experimental designs. Finally, guidelines are presented for building and application of response surface models, based on numerical computations.

Original language	English
Title of host publication	Emerging Methods for Multidisciplinary Optimization
Editors	J. Blachut, H.A. Eschenauer
Place of Publication	Wien
Publisher	Springer
Pages	159-203
Number of pages	318
ISBN (Print)	3-211-83335-8
Publication status	Published - 2001

Publication series

Name	CISM
Volume	425
ISSN (Print)	0254-1971

Cite this

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abstract = "In these lecture notes attention is focused on the use of Response Surface Models as approximation models in engineering optimization. Common strategies are discussed for efficient model construction, based on principles from statistical experimental design theory. Furthermore, modifications of the experimental design theory will be treated, which are necessary and useful on behalf of numerical experimental designs. Finally, guidelines are presented for building and application of response surface models, based on numerical computations.",

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AB - In these lecture notes attention is focused on the use of Response Surface Models as approximation models in engineering optimization. Common strategies are discussed for efficient model construction, based on principles from statistical experimental design theory. Furthermore, modifications of the experimental design theory will be treated, which are necessary and useful on behalf of numerical experimental designs. Finally, guidelines are presented for building and application of response surface models, based on numerical computations.

M3 - Chapter

SN - 3-211-83335-8

T3 - CISM

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EP - 203

BT - Emerging Methods for Multidisciplinary Optimization

A2 - Blachut, J.

A2 - Eschenauer, H.A.

PB - Springer

CY - Wien

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Response surface approximations for engineering optimization

Abstract

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