Abstract
Improving the efficiency of ship optimization is crucial for modern ship design. Compared with traditional methods, multidisciplinary design optimization (MDO) is a more promising approach. For this reason, Collaborative Optimization (CO) is discussed and analyzed in this paper. As one of the most frequently applied MDO methods, CO promotes autonomy of disciplines while providing a coordinating mechanism guaranteeing progress toward an optimum and maintaining interdisciplinary compatibility. However, there are some difficulties in applying the conventional CO method, such as difficulties in choosing an initial point and tremendous computational requirements. For the purpose of overcoming these problems, optimal Latin hypercube design and Radial basis function network were applied to CO. Optimal Latin hypercube design is a modified Latin Hypercube design. Radial basis function network approximates the optimization model, and is updated during the optimization process to improve accuracy. It is shown by examples that the computing efficiency and robustness of this CO method are higher than with the conventional CO method.
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ZHAO Min was born in 1981. He is a PhD candidate for design and manufacture of naval and ocean structures at school of Naval Architecture, Ocean and Civil Engineering, Shanghai Jiao Tong University. His current research interest is Multidisciplinary Design Optimization of submersible design.
CUI Weicheng was born in 1963. He is a professor and PhD tutorr of China Ship Scientific Research Center. His recent research interests include Marine Structural Reliability, Systematic Investigation of Ultimate Strength Analysis Methods, Hydroelastic Responses of Very Large Floating Structures and Multidisciplinary Design Optimization of submersible design.
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Zhao, M., Cui, Wc. Application of the optimal Latin hypercube design and radial basis function network to collaborative optimization. J. Marine. Sci. Appl. 6, 24–32 (2007). https://doi.org/10.1007/s11804-007-7012-6
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DOI: https://doi.org/10.1007/s11804-007-7012-6
Keywords
- multidisciplinary design optimization (MDO)
- collaborative optimization (CO)
- optimal Latin hypercube design
- radial basis function network
- approximation