Response surface approximations for engineering optimization

A.J.G. Schoofs, J.J.M. Rijpkema

Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-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 languageEnglish
Title of host publicationEmerging Methods for Multidisciplinary Optimization
EditorsJ. Blachut, H.A. Eschenauer
Place of PublicationWien
PublisherSpringer
Pages159-203
Number of pages318
ISBN (Print)3-211-83335-8
Publication statusPublished - 2001

Publication series

NameCISM
Volume425
ISSN (Print)0254-1971

Fingerprint Dive into the research topics of 'Response surface approximations for engineering optimization'. Together they form a unique fingerprint.

  • Cite this

    Schoofs, A. J. G., & Rijpkema, J. J. M. (2001). Response surface approximations for engineering optimization. In J. Blachut, & H. A. Eschenauer (Eds.), Emerging Methods for Multidisciplinary Optimization (pp. 159-203). (CISM; Vol. 425). Springer.