Multidisciplinary design optimization methods for complex engineering systems

Minghong Han; Jiati Deng

Multidisciplinary design optimization methods for complex engineering systems

Minghong Han^*
, Jiati Deng

^*Corresponding author for this work

School of Reliability and Systems Engineering

Beihang University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

12 Scopus citations

Abstract

Multidisciplinary design optimization (MDO) is a subject developing rapidly since the last decade, which can efficiently solve the design problem of large-scale complex engineering system. MDO methods are the significant development of traditional design methods and design optimization theories. We are addressing ourselves to the development of the theories and applications of MDO. Some achievements of MDO methods are gained. Based on these achievements, an introduction of MDO methods for large-scale engineering systems is presented in this paper. Especially, MDF method, AAO method, IDF method, CO method, CSSO method and BLISS method are analyzed in this paper. The advantages and disadvantages of each MDO method are summarized, which should be considered in large-scale industrial applications.

Original language	English
Title of host publication	Proceedings of the International Conference on Agile Manufacturing, Advances in Agile Manufacturing, ICAM 2003
Editors	H. Yang, L. Qiao, I.-S. Fan
Pages	347-354
Number of pages	8
State	Published - 2003
Event	Proceedings of the International Conference on Agile Manufacturing, Advances in Agile Manufacturing, ICAM 2003 - Beijing, China Duration: 4 Dec 2003 → 6 Dec 2003

Publication series

Name	Proceedings of the International Conference on Agile Manufacturing, Advances in Agile Manufacturing, ICAM 2003

Conference

Conference	Proceedings of the International Conference on Agile Manufacturing, Advances in Agile Manufacturing, ICAM 2003
Country/Territory	China
City	Beijing
Period	4/12/03 → 6/12/03

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure

Keywords

Engineering system
MDO methods
Optimization

Cite this

Han, M., & Deng, J. (2003). Multidisciplinary design optimization methods for complex engineering systems. In H. Yang, L. Qiao, & I.-S. Fan (Eds.), Proceedings of the International Conference on Agile Manufacturing, Advances in Agile Manufacturing, ICAM 2003 (pp. 347-354). (Proceedings of the International Conference on Agile Manufacturing, Advances in Agile Manufacturing, ICAM 2003).

Han, Minghong ; Deng, Jiati. / Multidisciplinary design optimization methods for complex engineering systems. Proceedings of the International Conference on Agile Manufacturing, Advances in Agile Manufacturing, ICAM 2003. editor / H. Yang ; L. Qiao ; I.-S. Fan. 2003. pp. 347-354 (Proceedings of the International Conference on Agile Manufacturing, Advances in Agile Manufacturing, ICAM 2003).

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title = "Multidisciplinary design optimization methods for complex engineering systems",

abstract = "Multidisciplinary design optimization (MDO) is a subject developing rapidly since the last decade, which can efficiently solve the design problem of large-scale complex engineering system. MDO methods are the significant development of traditional design methods and design optimization theories. We are addressing ourselves to the development of the theories and applications of MDO. Some achievements of MDO methods are gained. Based on these achievements, an introduction of MDO methods for large-scale engineering systems is presented in this paper. Especially, MDF method, AAO method, IDF method, CO method, CSSO method and BLISS method are analyzed in this paper. The advantages and disadvantages of each MDO method are summarized, which should be considered in large-scale industrial applications.",

keywords = "Engineering system, MDO methods, Optimization",

author = "Minghong Han and Jiati Deng",

year = "2003",

language = "英语",

isbn = "7111133951",

series = "Proceedings of the International Conference on Agile Manufacturing, Advances in Agile Manufacturing, ICAM 2003",

pages = "347--354",

editor = "H. Yang and L. Qiao and I.-S. Fan",

booktitle = "Proceedings of the International Conference on Agile Manufacturing, Advances in Agile Manufacturing, ICAM 2003",

note = "Proceedings of the International Conference on Agile Manufacturing, Advances in Agile Manufacturing, ICAM 2003 ; Conference date: 04-12-2003 Through 06-12-2003",

}

Han, M & Deng, J 2003, Multidisciplinary design optimization methods for complex engineering systems. in H Yang, L Qiao & I-S Fan (eds), Proceedings of the International Conference on Agile Manufacturing, Advances in Agile Manufacturing, ICAM 2003. Proceedings of the International Conference on Agile Manufacturing, Advances in Agile Manufacturing, ICAM 2003, pp. 347-354, Proceedings of the International Conference on Agile Manufacturing, Advances in Agile Manufacturing, ICAM 2003, Beijing, China, 4/12/03.

Multidisciplinary design optimization methods for complex engineering systems. / Han, Minghong; Deng, Jiati.
Proceedings of the International Conference on Agile Manufacturing, Advances in Agile Manufacturing, ICAM 2003. ed. / H. Yang; L. Qiao; I.-S. Fan. 2003. p. 347-354 (Proceedings of the International Conference on Agile Manufacturing, Advances in Agile Manufacturing, ICAM 2003).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Multidisciplinary design optimization methods for complex engineering systems

AU - Han, Minghong

AU - Deng, Jiati

PY - 2003

Y1 - 2003

N2 - Multidisciplinary design optimization (MDO) is a subject developing rapidly since the last decade, which can efficiently solve the design problem of large-scale complex engineering system. MDO methods are the significant development of traditional design methods and design optimization theories. We are addressing ourselves to the development of the theories and applications of MDO. Some achievements of MDO methods are gained. Based on these achievements, an introduction of MDO methods for large-scale engineering systems is presented in this paper. Especially, MDF method, AAO method, IDF method, CO method, CSSO method and BLISS method are analyzed in this paper. The advantages and disadvantages of each MDO method are summarized, which should be considered in large-scale industrial applications.

AB - Multidisciplinary design optimization (MDO) is a subject developing rapidly since the last decade, which can efficiently solve the design problem of large-scale complex engineering system. MDO methods are the significant development of traditional design methods and design optimization theories. We are addressing ourselves to the development of the theories and applications of MDO. Some achievements of MDO methods are gained. Based on these achievements, an introduction of MDO methods for large-scale engineering systems is presented in this paper. Especially, MDF method, AAO method, IDF method, CO method, CSSO method and BLISS method are analyzed in this paper. The advantages and disadvantages of each MDO method are summarized, which should be considered in large-scale industrial applications.

KW - Engineering system

KW - MDO methods

KW - Optimization

UR - https://www.scopus.com/pages/publications/1842454037

M3 - 会议稿件

AN - SCOPUS:1842454037

SN - 7111133951

T3 - Proceedings of the International Conference on Agile Manufacturing, Advances in Agile Manufacturing, ICAM 2003

SP - 347

EP - 354

BT - Proceedings of the International Conference on Agile Manufacturing, Advances in Agile Manufacturing, ICAM 2003

A2 - Yang, H.

A2 - Qiao, L.

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ER -

Han M, Deng J. Multidisciplinary design optimization methods for complex engineering systems. In Yang H, Qiao L, Fan IS, editors, Proceedings of the International Conference on Agile Manufacturing, Advances in Agile Manufacturing, ICAM 2003. 2003. p. 347-354. (Proceedings of the International Conference on Agile Manufacturing, Advances in Agile Manufacturing, ICAM 2003).

Multidisciplinary design optimization methods for complex engineering systems

Abstract

Publication series

Conference

UN SDGs

Keywords

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