General and efficient method for multidisciplinary design optimization problems

Xiao Hui Wang; Ren Wei Xia

General and efficient method for multidisciplinary design optimization problems

Xiao Hui Wang^*
, Ren Wei Xia

^*Corresponding author for this work

School of Astronautics

Beihang University

Research output: Contribution to journal › Article › peer-review

Abstract

In this paper, we propose that the Multidisciplinary Design Optimization (MDO) problem should be formulated as a single-level optimization problem and solved by Enveloped Dual Method. The method is demonstrated on a typical example problem for testing and evaluating the MDO methods. Results show that the proposed method improves the convergence speed, computational efficiency and applicability of MDO problems.

Original language	English
Pages (from-to)	1050-1053
Number of pages	4
Journal	Yuhang Xuebao/Journal of Astronautics
Volume	27
Issue number	5
State	Published - Sep 2006

Keywords

Algorithm of quadratic programming problem
Multidisciplinary design optimization (MDO)
The enveloped dual method

Cite this

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title = "General and efficient method for multidisciplinary design optimization problems",

abstract = "In this paper, we propose that the Multidisciplinary Design Optimization (MDO) problem should be formulated as a single-level optimization problem and solved by Enveloped Dual Method. The method is demonstrated on a typical example problem for testing and evaluating the MDO methods. Results show that the proposed method improves the convergence speed, computational efficiency and applicability of MDO problems.",

keywords = "Algorithm of quadratic programming problem, Multidisciplinary design optimization (MDO), The enveloped dual method",

author = "Wang, \{Xiao Hui\} and Xia, \{Ren Wei\}",

year = "2006",

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T1 - General and efficient method for multidisciplinary design optimization problems

AU - Wang, Xiao Hui

AU - Xia, Ren Wei

PY - 2006/9

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N2 - In this paper, we propose that the Multidisciplinary Design Optimization (MDO) problem should be formulated as a single-level optimization problem and solved by Enveloped Dual Method. The method is demonstrated on a typical example problem for testing and evaluating the MDO methods. Results show that the proposed method improves the convergence speed, computational efficiency and applicability of MDO problems.

AB - In this paper, we propose that the Multidisciplinary Design Optimization (MDO) problem should be formulated as a single-level optimization problem and solved by Enveloped Dual Method. The method is demonstrated on a typical example problem for testing and evaluating the MDO methods. Results show that the proposed method improves the convergence speed, computational efficiency and applicability of MDO problems.

KW - Algorithm of quadratic programming problem

KW - Multidisciplinary design optimization (MDO)

KW - The enveloped dual method

UR - https://www.scopus.com/pages/publications/33846087845

M3 - 文章

AN - SCOPUS:33846087845

SN - 1000-1328

VL - 27

SP - 1050

EP - 1053

JO - Yuhang Xuebao/Journal of Astronautics

JF - Yuhang Xuebao/Journal of Astronautics

IS - 5

ER -

General and efficient method for multidisciplinary design optimization problems

Abstract

Keywords

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