Global and mid-range function approximation for engineering optimization

@article{Schoofs1997GlobalAM,
  title={Global and mid-range function approximation for engineering optimization},
  author={A. J. G. Schoofs and M. H. van Houten and L. F. P. Etman and D. H. van Campen},
  journal={Math. Meth. of OR},
  year={1997},
  volume={46},
  pages={335-359}
}
Global and mid-range approximation concepts are used in engineering optimisation in those cases were the commonly used local approximations are not available or applicable. In this paper the response surface method is discussed as a method to build both global and mid-range approximations of the objective and constraint functions. In this method analysis results in multiple design points are fitted on a chosen approximation model function by means of regression techniques. Especially global… CONTINUE READING
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References

Publications referenced by this paper.
Showing 1-10 of 12 references

Screening, predicting

  • WJ Welch, R JBuck, J Sacks, HP Wyrm, TJ Mitchell, MD Morris
  • 1992
Highly Influential
3 Excerpts

Bayesian prediction of deterministic functions

  • C New York Currin, T Mitchell, M Morris, D Ylvisaker
  • 1991
Highly Influential
3 Excerpts

Designs for computer experiments

  • J Sacks, SB Schiller, J Welch
  • Technometrics
  • 1989
Highly Influential
3 Excerpts

Multiparameter structural optimization using fem and multipoint explicit approximations

  • VV Toropov, AA Filatov, AA Polynkin
  • Structural Optimization
  • 1993

Recent advances in approximation concepts for optimum

  • JFM Barthelemy, RT Haftka
  • 1993
1 Excerpt

Recent advances in approximation concepts for optimum structural design

  • Barthelemy JFM, RT Haftka
  • Structural Optimization
  • 1993

Screening , predicting , and computer exeriments

  • WJ Welch, R Buck, J Sacks, HP Wyrm, TJ Mitchell, Morris
  • Tecimometrics
  • 1992

A system for quality improvement via computer experiments

  • WJ Welch, J Sacks
  • 1991
1 Excerpt

Bayesian prediction of deterministic functions , with applications to the design and analysis of computer experiments

  • C Currin, T Mitchell, M Morris, D Ylvisaker
  • Journal of the American Statistical Association
  • 1991

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