The Algorithm Research of Complex Multi-Domain Constraint Models

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Abstract:

This paper is mainly discussed in areas under a unified multi-domain framework, the unified constraint expression of optimization simulation model and critical theory in the process of solving. Establish the multi-domain optimization simulation model of complex product, study the complex coupling between multi-domain constraint models, analyze the parameters sensitivity of unified constraint expression model and reduce the restraint scale. Using the principle of global satisfaction as far as possible, to achieve coordination of multi-domain constraints based on the component level, solving the Large-scale multi-domain unified optimization simulation model with the homotopy iteration method.

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Advanced Materials Research (Volumes 971-973)

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1372-1375

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June 2014

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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[1] Gong Youping, Theory and Method to Model Reconstruction based on Feature and Constraint, Doctor Thesis, Zhejiang Univ., Hangzhou, China. (2006).

Google Scholar

[2] Chen Guojin, Su Shaohui, Gong Youping, Research on Expression Method of a Unified Constraint Multi-domain Model for Complex Products, LSMS/ICSEE 2010, Part II, CCIS 98, p.177–183. (2010).

DOI: 10.1007/978-3-642-15859-9_25

Google Scholar

[3] Bunus P, Fritzson P, Automated Static Analysis of Equation-based Components. Simulation: Transactions of the Society for Modeling and Simulation International, 80(8), pp.321-345. (2008).

DOI: 10.1177/0037549704046340

Google Scholar

[4] Gou Peng, Liu Wei, Gui Weicheng. A Comparison of Approximation Methods for Multidisciplinary Design Optimization of Ship Structures, Journal of Ship Mechanics, 11(6), pp.913-922. (2007).

Google Scholar

[5] ULRICHJ, Solving Large Configuration Problems Efficiently by Clustering the Con Ba Con Model, Proceedings of the 13th International Conference on Industrial and Engineering Applocations of Artificial Intelligence and Expert Systems (IEA/A IE2000), Berlin, Germany, p.396~405. (2000).

Google Scholar