Journal
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
Volume 44, Issue 1, Pages 39-43Publisher
SPRINGER
DOI: 10.1007/s00158-010-0598-3
Keywords
Multidisciplinary design optimization; Sensitivity analysis; Decomposition schemes; Computational efficiency
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Funding
- National Science Fund for Distinguished Young Scholars [10725208]
- Research Fund for the Doctoral Program of Higher Education of China [20070532021]
- national 973 program [2010CB832705]
- National Science Foundation of China [10802028]
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A considerable portion of the computational cost results from the solution of sensitivity information in concurrent subspace optimization and bi-level integrated system synthesis. A novel method to update sensitivity information is suggested to improve the computational efficiency in this brief note. Firstly, both the approximate insensitive terms and approximate linear terms in sensitivity information are identified, and then their values are temporarily kept constant for multiple multidisciplinary design optimization cycles. A practical engineering case study is presented to demonstrate the effectiveness of the proposed method.
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