The use of metamodeling techniques for optimization under uncertainty

Ruichen Jin*, Xiaoping Du, Wei Chen

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

10 Scopus citations

Abstract

Metamodeling techniques have been widely used in engineering design to improve the efficiency in 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)
Title of host publicationProceedings of the ASME Design Engineering Technical Conference and Computers and Information in Engineering Conference. Volume 2
Subtitle of host publication27th Design Automation Conference
Pages297-306
Number of pages10
Volume2
StatePublished - Dec 1 2001
Event2001 ASME Design Engineering Technical Conference and Computers and Information in Engineering Conference - Pittsburgh, PA, United States
Duration: Sep 9 2001Sep 12 2001

Other

Other2001 ASME Design Engineering Technical Conference and Computers and Information in Engineering Conference
CountryUnited States
CityPittsburgh, PA
Period9/9/019/12/01

Keywords

  • Metamodeling
  • Optimization under uncertainty

ASJC Scopus subject areas

  • Modeling and Simulation
  • Mechanical Engineering
  • Computer Science Applications
  • Computer Graphics and Computer-Aided Design

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