The use of metamodeling techniques for optimization under uncertainty

R. Jin*, X. Du, W. Chen

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

271 Scopus citations

Abstract

Metamodeling techniques have been widely used in engineering design to improve efficiency in the simulation and optimization of design systems that involve computationally expensive simulation programs. Many existing applications are restricted to deterministic optimization. Very few studies have been conducted on studying the accuracy of using metamodels for optimization under uncertainty. In this paper, using a two-bar structure system design as an example, various metamodeling techniques are tested for different formulations of optimization under uncertainty. Observations are made on the applicability and accuracy of these techniques, the impact of sample size, and the optimization performance when different formulations are used to incorporate uncertainty. Some important issues for applying metamodels to optimization under uncertainty are discussed.

Original languageEnglish (US)
Pages (from-to)99-116
Number of pages18
JournalStructural and Multidisciplinary Optimization
Volume25
Issue number2
DOIs
StatePublished - Jul 1 2003

Keywords

  • Metamodeling
  • Optimization under uncertainty

ASJC Scopus subject areas

  • Engineering (miscellaneous)
  • Mechanics of Materials
  • Computational Mechanics
  • Computer Science Applications
  • Computational Theory and Mathematics

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