Comparison of four decomposition algorithms for multidisciplinary design optimization

Peng Wang; Bao Wei Song; Qi Feng Zhu

doi:10.1007/978-3-642-16527-6_39

Comparison of four decomposition algorithms for multidisciplinary design optimization

Peng Wang, Bao Wei Song, Qi Feng Zhu

School of Marine Science and Technology

Northwestern Polytechnical University Xian

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

Abstract

Multidisciplinary Design Optimization (MDO) is an effective and prospective solution to complex engineering systems. In MDO methodology, MDO algorithm is the most important research area. Four decomposition algorithms have been proposed for MDO. They are Concurrent subspace optimization (CSSO), Collaborative optimization (CO), Bi-level integrated system synthesis (BLISS) and Analytical target cascading (ATC). On the basis of specific requirements for comparison, a mathematical example is chose and the performances of MDO decomposition algorithms are evaluated and compared, which take into consideration optimization efficiency and formulation structure characteristics.

Original language	English
Title of host publication	Artificial Intelligence and Computational Intelligence - International Conference, AICI 2010, Proceedings
Pages	310-317
Number of pages	8
Edition	PART 2
DOIs	https://doi.org/10.1007/978-3-642-16527-6_39
State	Published - 2010
Event	2010 International Conference on Artificial Intelligence and Computational Intelligence, AICI 2010 - Sanya, China Duration: 23 Oct 2010 → 24 Oct 2010

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number	PART 2
Volume	6320 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	2010 International Conference on Artificial Intelligence and Computational Intelligence, AICI 2010
Country/Territory	China
City	Sanya
Period	23/10/10 → 24/10/10

Keywords

Comparison
complex system
decomposition algorithm
multidisciplinary design optimization

Access to Document

10.1007/978-3-642-16527-6_39

Cite this

Wang, P., Song, B. W., & Zhu, Q. F. (2010). Comparison of four decomposition algorithms for multidisciplinary design optimization. In Artificial Intelligence and Computational Intelligence - International Conference, AICI 2010, Proceedings (PART 2 ed., pp. 310-317). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6320 LNAI, No. PART 2). https://doi.org/10.1007/978-3-642-16527-6_39

Wang, Peng ; Song, Bao Wei ; Zhu, Qi Feng. / Comparison of four decomposition algorithms for multidisciplinary design optimization. Artificial Intelligence and Computational Intelligence - International Conference, AICI 2010, Proceedings. PART 2. ed. 2010. pp. 310-317 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2).

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abstract = "Multidisciplinary Design Optimization (MDO) is an effective and prospective solution to complex engineering systems. In MDO methodology, MDO algorithm is the most important research area. Four decomposition algorithms have been proposed for MDO. They are Concurrent subspace optimization (CSSO), Collaborative optimization (CO), Bi-level integrated system synthesis (BLISS) and Analytical target cascading (ATC). On the basis of specific requirements for comparison, a mathematical example is chose and the performances of MDO decomposition algorithms are evaluated and compared, which take into consideration optimization efficiency and formulation structure characteristics.",

keywords = "Comparison, complex system, decomposition algorithm, multidisciplinary design optimization",

author = "Peng Wang and Song, {Bao Wei} and Zhu, {Qi Feng}",

year = "2010",

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series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

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booktitle = "Artificial Intelligence and Computational Intelligence - International Conference, AICI 2010, Proceedings",

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Wang, P, Song, BW & Zhu, QF 2010, Comparison of four decomposition algorithms for multidisciplinary design optimization. in Artificial Intelligence and Computational Intelligence - International Conference, AICI 2010, Proceedings. PART 2 edn, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 2, vol. 6320 LNAI, pp. 310-317, 2010 International Conference on Artificial Intelligence and Computational Intelligence, AICI 2010, Sanya, China, 23/10/10. https://doi.org/10.1007/978-3-642-16527-6_39

Comparison of four decomposition algorithms for multidisciplinary design optimization. / Wang, Peng; Song, Bao Wei; Zhu, Qi Feng.
Artificial Intelligence and Computational Intelligence - International Conference, AICI 2010, Proceedings. PART 2. ed. 2010. p. 310-317 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6320 LNAI, No. PART 2).

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

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Wang P, Song BW, Zhu QF. Comparison of four decomposition algorithms for multidisciplinary design optimization. In Artificial Intelligence and Computational Intelligence - International Conference, AICI 2010, Proceedings. PART 2 ed. 2010. p. 310-317. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2). doi: 10.1007/978-3-642-16527-6_39

Comparison of four decomposition algorithms for multidisciplinary design optimization

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