2011Unpublished venueRequires access

Study on multidisciplinary hybrid hierarchic optimization method

Zhanjun Cai

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Abstract

This paper studies Multidisciplinary Hybrid Hierarchic Design Optimization (MHHDO) method for the hybrid hierarchic system. The collaborative model of the hybrid hierarchic system which contains hierarchic and non hierarchic system is established for the analysis of the system. In order to eliminate the difference of the sharing design variable and the state variable in MDO, the collaborative rule of them has been established. The collaborative rule of the function is given for the consistency of the sharing design variable and the state design variable. The MHHDO method which based on collaborative rule of the sharing design variable, the state design variable and the function can eliminated the difference of them, it can eventually obtain the optimal solution of the allover system.

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What this paper is about

This paper studies Multidisciplinary Hybrid Hierarchic Design Optimization (MHHDO) method for the hybrid hierarchic system. The collaborative model of the hybrid hierarchic system which contains hierarchic and non hierarchic system is established for the analysis of the system. In order to eliminate the difference of the sharing design variable and the state variable in MDO, the collaborative rule of them has been established. The collaborative rule of the function is given for the consistency of the sharing design variable and the state design variable. The MHHDO method which based on collaborative rule of the sharing design variable, the state design variable and the function can eliminated the difference of them, it can eventually obtain the optimal solution of the allover system.

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Available abstract

This paper studies Multidisciplinary Hybrid Hierarchic Design Optimization (MHHDO) method for the hybrid hierarchic system. The collaborative model of the hybrid hierarchic system which contains hierarchic and non hierarchic system is established for the analysis of the system. In order to eliminate the difference of the sharing design variable and the state variable in MDO, the collaborative rule of them has been established. The collaborative rule of the function is given for the consistency of the sharing design variable and the state design variable. The MHHDO method which based on collaborative rule of the sharing design variable, the state design variable and the function can eliminated the difference of them, it can eventually obtain the optimal solution of the allover system.

Key concepts: Variable (mathematics), Consistency (knowledge bases), Computer science, Multidisciplinary design optimization, Multidisciplinary approach, Function (biology), State (computer science), State variable

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