Performance Evaluation of MDO Architectures within a Variable Complexity Problem

Performance Evaluation of MDO Architectures within a Variable Complexity Problem

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 pap...

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Main Authors: Daiyu Zhang, Baowei Song, Peng Wang, Yanru He
Format: Article
Language:English
Published: Hindawi Limited 2017-01-01
Series:Mathematical Problems in Engineering
Online Access:http://dx.doi.org/10.1155/2017/2759762
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spelling doaj-c53b8f4f3d39451eb79606062951b9bd2020-11-24T21:28:14ZengHindawi LimitedMathematical Problems in Engineering1024-123X1563-51472017-01-01201710.1155/2017/27597622759762Performance Evaluation of MDO Architectures within a Variable Complexity ProblemDaiyu Zhang0Baowei Song1Peng Wang2Yanru He3School of Marine Science and Technology, Northwestern Polytechnical University, Xi’an 710072, ChinaSchool of Marine Science and Technology, Northwestern Polytechnical University, Xi’an 710072, ChinaSchool of Marine Science and Technology, Northwestern Polytechnical University, Xi’an 710072, ChinaSchool of Marine Science and Technology, Northwestern Polytechnical University, Xi’an 710072, ChinaThough 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.http://dx.doi.org/10.1155/2017/2759762
collection DOAJ
language English
format Article
sources DOAJ
author Daiyu Zhang
Baowei Song
Peng Wang
Yanru He
spellingShingle Daiyu Zhang
Baowei Song
Peng Wang
Yanru He
Performance Evaluation of MDO Architectures within a Variable Complexity Problem
Mathematical Problems in Engineering
author_facet Daiyu Zhang
Baowei Song
Peng Wang
Yanru He
author_sort Daiyu Zhang
title Performance Evaluation of MDO Architectures within a Variable Complexity Problem
title_short Performance Evaluation of MDO Architectures within a Variable Complexity Problem
title_full Performance Evaluation of MDO Architectures within a Variable Complexity Problem
title_fullStr Performance Evaluation of MDO Architectures within a Variable Complexity Problem
title_full_unstemmed Performance Evaluation of MDO Architectures within a Variable Complexity Problem
title_sort performance evaluation of mdo architectures within a variable complexity problem
publisher Hindawi Limited
series Mathematical Problems in Engineering
issn 1024-123X
1563-5147
publishDate 2017-01-01
description 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.
url http://dx.doi.org/10.1155/2017/2759762
work_keys_str_mv AT daiyuzhang performanceevaluationofmdoarchitectureswithinavariablecomplexityproblem
AT baoweisong performanceevaluationofmdoarchitectureswithinavariablecomplexityproblem
AT pengwang performanceevaluationofmdoarchitectureswithinavariablecomplexityproblem
AT yanruhe performanceevaluationofmdoarchitectureswithinavariablecomplexityproblem
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