Comparison of four decomposition algorithms for multidisciplinary design optimization

Peng Wang, Bao Wei Song, Qi Feng Zhu

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

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.

源语言英语
主期刊名Artificial Intelligence and Computational Intelligence - International Conference, AICI 2010, Proceedings
310-317
页数8
版本PART 2
DOI
出版状态已出版 - 2010
活动2010 International Conference on Artificial Intelligence and Computational Intelligence, AICI 2010 - Sanya, 中国
期限: 23 10月 201024 10月 2010

出版系列

姓名Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
编号PART 2
6320 LNAI
ISSN(印刷版)0302-9743
ISSN(电子版)1611-3349

会议

会议2010 International Conference on Artificial Intelligence and Computational Intelligence, AICI 2010
国家/地区中国
Sanya
时期23/10/1024/10/10

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