@inproceedings{e3bb98d03c5d40658fd8b0da015704d1,
title = "Comparison of four decomposition algorithms for multidisciplinary design optimization",
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",
doi = "10.1007/978-3-642-16527-6_39",
language = "英语",
isbn = "3642165265",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
number = "PART 2",
pages = "310--317",
booktitle = "Artificial Intelligence and Computational Intelligence - International Conference, AICI 2010, Proceedings",
edition = "PART 2",
note = "2010 International Conference on Artificial Intelligence and Computational Intelligence, AICI 2010 ; Conference date: 23-10-2010 Through 24-10-2010",
}