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Metamodel-based collaborative optimization framework

Zadeh, P.M., Toropov, V.V. and Wood, A.S. (2009) Metamodel-based collaborative optimization framework. Structural and Multidisciplinary Optimization, 38 (2). pp. 103-115. ISSN 1615-1488


This paper focuses on the metamodel-based collaborative optimization (CO). The objective is to improve the computational efficiency of CO in order to handle multidisciplinary design optimization problems utilising high fidelity models. To address these issues, two levels of metamodel building techniques are proposed: metamodels in the disciplinary optimization are based on multi-fidelity modelling (the interaction of low and high fidelity models) and for the system level optimization a combination of a global metamodel based on the moving least squares method and trust region strategy is introduced. The proposed method is demonstrated on a continuous fiber-reinforced composite beam test problem. Results show that methods introduced in this paper provide an effective way of improving computational efficiency of CO based on high fidelity simulation models.

Item Type: Article
Copyright, Publisher and Additional Information: © Springer.
Keywords: multidisciplinary design optimization, collaborative optimization, metamodel, moving least squares method,multi-fidelity modelling
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering (Leeds) > School of Civil Engineering (Leeds)
Depositing User: Miss Elizabeth Winning
Date Deposited: 07 May 2009 10:53
Last Modified: 21 Jul 2014 16:57
Published Version: http://dx.doi.org/10.1007/s00158-008-0286-8
Status: Published
Publisher: Springer Berlin / Heidelberg
Identification Number: 10.1007/s00158-008-0286-8
URI: http://eprints.whiterose.ac.uk/id/eprint/8564

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