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. © 2010 Springer-Verlag.
CITATION STYLE
Wang, P., Song, B. W., & Zhu, Q. F. (2010). Comparison of four decomposition algorithms for multidisciplinary design optimization. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6320 LNAI, pp. 310–317). https://doi.org/10.1007/978-3-642-16527-6_39
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