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Mathematical Problems in Engineering
Volume 2017 (2017), Article ID 2759762, 9 pages
https://doi.org/10.1155/2017/2759762
Research Article

Performance Evaluation of MDO Architectures within a Variable Complexity Problem

School of Marine Science and Technology, Northwestern Polytechnical University, Xi’an 710072, China

Correspondence should be addressed to Daiyu Zhang; nc.ude.upwn.liam@uyiad

Received 27 October 2016; Accepted 7 February 2017; Published 23 February 2017

Academic Editor: Quang Phuc Ha

Copyright © 2017 Daiyu Zhang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Though quite a number of multidisciplinary design optimization (MDO) architectures have been proposed for the optimal design of large-scale multidisciplinary systems, how their performance changes with the complexity of MDO problem varied is not well studied. In order to solve this problem, this paper presents a variable complexity problem which allows people to obtain a MDO problem with arbitrary complexity by specifying its changeable parameters, such as the number of disciplines and the numbers of design variables. Then four investigations are performed to evaluate how the performance of different MDO architectures changes with the number of disciplines, global variables, local variables, and coupling variables varied, respectively. Finally, the results supply guidance for the selection of MDO architectures in solving practical engineering problems with different complexity.