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Response Surface Approximations for Engineering Optimization

  • A. J. G. Schoofs
  • J. J. M. Rijpkema
Conference paper
Part of the International Centre for Mechanical Sciences book series (CISM, volume 425)

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.

Keywords

Regression Model Design Variable Structural Optimization Design Point Multivariate Adaptive Regression Spline 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Wien 2001

Authors and Affiliations

  • A. J. G. Schoofs
    • 1
  • J. J. M. Rijpkema
    • 1
  1. 1.Department of Mechanical EngineeringEindhoven University of TechnologyThe Netherlands

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