商业数据建模产品因为其特定于内容的知识而弥足珍贵，这是基于实践经验和业务专长的。
Commercial data modeling products are valuable because of their content-specific knowledge, which is based on practical experience and business expertise.
除了普通的建模规则与可评价的概念，方法必须基于中央的分类以及模型架构的知识。
Besides common modeling rules and a scalable notation, the approach must be based on a central taxonomy and knowledge of modular architecture.
文中采用基于约束的知识库系统及遗传算法对钢铁企业生产的合同归并、轧钢计划、连铸计划、转炉计划进行数学建模，算法设计和实现。
The thesis adopts repository system based on restrict theory and genetic arithmetic, models, arithmetic design and implement for order merger, roll plan, cast plan, converter plan of steal enterprise.
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