Multi-point sequential sampling method for complex engineering optimization problems

Siliang Zhang*, Ping Zhu, Wei Chen

*Corresponding author for this work

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

Abstract

Metamodeling techniques are commonly used to replace expensive computer simulations in complex engineering optimization problems. Due to the discrepancy between the simulation model and metamodel, the prediction error in predicted responses may lead to a wrong solution. To balance the predicted mean and prediction error, the efficient global optimization (EGO) algorithm using Kriging predictor can be used to explore the design space and find next sample to adaptively improve the fitting accuracy of the predicted responses. However in conventional EGO algorithm, adding one point per iteration may be not efficient for the complex engineering problems. In this paper, a new multi-point sequential sampling method is proposed to include multiple points per iteration. To validate the benefits of the proposed multi-point sequential sampling method, a mathematical example and a highly-nonlinear automotive crashworthiness design example are illustrated. Results show that the proposed method can efficiently mitigate the prediction error and find the global optimum using fewer iterations.

Original languageEnglish (US)
Title of host publicationAdvances in Engineering Design and Optimization III
Pages78-82
Number of pages5
DOIs
StatePublished - Dec 3 2012
Event3rd International Conference on Engineering Design and Optimization, ICEDO 2012 - Shaoxing, China
Duration: May 25 2012May 27 2012

Publication series

NameApplied Mechanics and Materials
Volume201-202
ISSN (Print)1660-9336
ISSN (Electronic)1662-7482

Other

Other3rd International Conference on Engineering Design and Optimization, ICEDO 2012
CountryChina
CityShaoxing
Period5/25/125/27/12

Keywords

  • Automotive lightweight design
  • Expected improvement criterion
  • Multi-point
  • Sequential sampling method

ASJC Scopus subject areas

  • Engineering(all)

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  • Cite this

    Zhang, S., Zhu, P., & Chen, W. (2012). Multi-point sequential sampling method for complex engineering optimization problems. In Advances in Engineering Design and Optimization III (pp. 78-82). (Applied Mechanics and Materials; Vol. 201-202). https://doi.org/10.4028/www.scientific.net/AMM.201-202.78