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.
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Wang, P., Song, Bw., Zhu, Qf. (2010). Comparison of Four Decomposition Algorithms for Multidisciplinary Design Optimization. In: Wang, F.L., Deng, H., Gao, Y., Lei, J. (eds) Artificial Intelligence and Computational Intelligence. AICI 2010. Lecture Notes in Computer Science(), vol 6320. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16527-6_39
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DOI: https://doi.org/10.1007/978-3-642-16527-6_39
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