Paper Title:
An Approach Based on Enhanced Collaborative Optimization and Kriging Approximation in Multidisciplinary Design Optimization
  Abstract

This paper concentrates on the computational challenge in multidisciplinary design optimization (MDO) and a comprehensive strategy combining enhanced collaborative optimization (ECO) and kriging approximation models is introduced. In this strategy, the computational and organizational advantages of original collaborative optimization (CO) are inherited by ECO, which can satisfy the strengthened consistency requirements. Kriging approximation models are constructed to replace high-fidelity simulation models in individual disciplines and reduce the expensive computational cost in practical MDO problems. The proposed methodology is demonstrated by solving the classical speed reducer design problem. The better results indicate that ECO using kriging approximation models can achieve a considerable reduction of computational expense while guaranteeing the accuracy of optimal solutions with efficient convergence.

  Info
Periodical
Advanced Materials Research (Volumes 118-120)
Edited by
L.Y. Xie, M.N. James, Y.X. Zhao and W.X. Qian
Pages
399-403
DOI
10.4028/www.scientific.net/AMR.118-120.399
Citation
M. Xiao, L. Gao, H. B. Qiu, X. Y. Shao, X. Z. Chu, "An Approach Based on Enhanced Collaborative Optimization and Kriging Approximation in Multidisciplinary Design Optimization", Advanced Materials Research, Vols. 118-120, pp. 399-403, 2010
Online since
June 2010
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Price
$32.00
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