Abstract
This paper presents a new improved collaborative optimization (CO) model that provides solution capabilities for multiobjective multidisciplinary optimization problems. Reasons that cause computational difficulties in CO algorithm are firstly analyzed. Then a new system level objective function is advised to minimize relative value between the collaborative objective function and single disciplinary objective function. And it eliminates the effect of dimensions and magnitude orders among objectives. A new subsystem level objective function is developed that includes the disciplinary objective function and the consistency constraint. A new CO framework which is more suitable for multilevel distributed design is advised. In this CO framework, the system level optimizer does not only independently invoke the subdisciplinary analysis tools, but also invoke its subdiscipline optimizer. The improved CO model proposed in this work is demonstrated with two examples. The results of examples show the improved CO is not only feasible, reliable and efficient, but also well suitable to solve the multiobjective optimization problems in multidisciplinary design environment.
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Foundation item: the Knowledge-based Ship-design Hyper-integrated Platform (KSHIP) of Ministry of Education and Finance of China (No. 200512)
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Huang, Hy., Wang, Dy. Improvement of collaborative optimization. J. Shanghai Jiaotong Univ. (Sci.) 15, 172–177 (2010). https://doi.org/10.1007/s12204-010-8121-y
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DOI: https://doi.org/10.1007/s12204-010-8121-y