Research in Multidisciplinary Collaborative Optimization Base on Symmetric Fuzzy Satisfaction

Abstract:

Multidisciplinary collaborative optimization (CO) is a multi-level optimization algorithm, which include system-level and academic level. Because these are many complications in Engineering, it will exist the fuzzy in Discipline-level optimization devices. If the impact of discipline-level ambiguity was ignored, it will lead to some big errors in the system optimization. In order to solve this problem, this paper introduced the optimal fuzzy satisfaction into multidisciplinary collaborative optimization design, and made it as optimal targets of sub-discipline optimization devices. Then a method of multidisciplinary collaborative optimization base on Fuzzy Satisfaction was get., which can solve the fuzzy problem in multidisciplinary collaborative optimization. Meanwhile this paper used this method in multidisciplinary collaborative optimization of torpedo, and compared the results that was get by this method with the results which was get by the method that did not base on the fuzzy satisfaction, finally get the conclusion that the method is fit to Multidisciplinary collaborative optimization of torpedo.

• Periodical: Advanced Materials Research (Volumes 616-618)
• Pages: 2175-2181
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.616-618.2175
• Online since: December 2012
• Authors: Nan Li, Bao Wei Song
• Keywords: Fuzzy Optimal Satisfaction, Multidisciplinary Collaborative Optimization, Multi-Factor Fuzzy Comprehensive Evaluation, Torpedo General Design

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