Uncertainty-Based Multidisciplinary Design Optimization (UMDO)
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Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-030-39126-3_7
Reference73 articles.
1. Agarwal, H., Renaud, J., Lee, J., and Watson, L. (2004a). A unilevel method for reliability based design optimization. In 45th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics & Materials Conference, Palm Springs, CA, USA.
2. Agarwal, H., Renaud, J. E., Preston, E. L., and Padmanabhan, D. (2004b). Uncertainty quantification using evidence theory in multidisciplinary design optimization. Reliability Engineering & System Safety, 85(1–3):281–294.
3. Ahn, J. and Kwon, J.-H. (2006). An efficient strategy for reliability-based multidisciplinary design optimization using bliss. Structural and Multidisciplinary Optimization, 31(5):363–372.
4. Akaike, H. (1973). Maximum likelihood identification of Gaussian autoregressive moving average models. Biometrika, 60(2):255–265.
5. Balesdent, M., Bérend, N., and Dépincé, P. (2013). New multidisciplinary design optimization approaches for launch vehicle design. Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering, 227(10):1545–1555.
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