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APPROACH ON INTELLIGENT OPTIMIZATION DESIGN BASED ON COMPOUND KNOWLEDGE
作者姓名:Yao Jianchu Zhou Ji Yu Jun School of Mechanical Science and Engineering  Huazhong University of Science and Technology  Wuhan  China
作者单位:Yao Jianchu Zhou Ji Yu Jun School of Mechanical Science and Engineering,Huazhong University of Science and Technology,Wuhan 430074,China
基金项目:This project is supported by China 863 Hi-tech Program CIMS Topic (No.863-511-945-015).
摘    要:A concept of an intelligent optimal design approach is proposed, which is organized by a kind of compound knowledge model. The compound knowledge consists of modularized quantitative knowledge, inclusive experience knowledge and case-based sample knowledge. By using this compound knowledge model, the abundant quantity information of mathematical programming and the symbolic knowledge of artificial intelligence can be united together in this model. The intelligent optimal design model based on such a compound knowledge and the automatically generated decomposition principles based on it are also presented. Practically, it is applied to the production planning, process schedule and optimization of production process of a refining & chemical work and a great profit is achieved. Specially, the methods and principles are adaptable not only to continuous process industry, but also to discrete manufacturing one.

关 键 词:智能优化  自动化建摸  组合知识  专家系统  人工智能

APPROACH ON INTELLIGENT OPTIMIZATION DESIGN BASED ON COMPOUND KNOWLEDGE
Yao Jianchu Zhou Ji Yu Jun School of Mechanical Science and Engineering,Huazhong University of Science and Technology,Wuhan ,China.APPROACH ON INTELLIGENT OPTIMIZATION DESIGN BASED ON COMPOUND KNOWLEDGE[J].Chinese Journal of Mechanical Engineering,2003,16(3):300-304.
Authors:YaoJianchu ZhouJi YuJun
Affiliation:SchoolofMechanicalScienceandEngineering,HuazhongUniversityofScienceandTechnology,Wuhan430074.China
Abstract:A concept of an intelligent optimal design approach is proposed, which is organized by a kind of compound knowledge model. The compound knowledge consists of modularized quantitative knowledge, inclusive experience knowledge and case-based sample knowledge. By using this compound knowledge model, the abundant quantity information of mathematical programming and the symbolic knowledge of artificial intelligence can be united together in this model. The intelligent optimal design model based on such a compound knowledge and the automatically generated decomposition principles based on it are also presented. Practically, it is applied to the production planning, process schedule and optimization of production process of a refining & chemical work and a great profit is achieved. Specially, the methods and principles are adaptable not only to continuous process industry, but also to discrete manufacturing one.
Keywords:Intelligent optimization Automatic modeling Compound knowledge Expert system
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