基于知识的广义优化方法

Generalized Optimization Based on Knowledge

传统的优化方法在描述能力、建模方法、方法实现和模型数据的分析等方面都存在着局限性，需要引入新的思路．针对上述问题，提出了基于知识的广义优化方法，给出了广义优化中知识概念、优化问题的描述，以及基于知识的广义优化方法的一般求解过程．其基本方法是在优化问题知识模型的基础上，建立基于知识的广义优化算法，通过知识系统的约简，得到用于制定优化方案的决策规则．同时给出了基于知识的广义优化方法在在锅炉燃烧优化问题中的应用示例，说明了方法的有效性．

It is known that the traditional optimal theory has limitations on the ability of descriptions,themethod of modeling,the realization of the method and the analysis of the model data. The concept and themethod of generalized optimization based on knowledge are presented.They include the concept of knowledgein generalized optimization,the descriptions of the optimal problem and the general procedure of the generalized optimization.The main method composes of four steps:the knowledge modeling of the optimal problem,the founding of the generalized optimization algorithm,the reduction of the knowledge system and the construction of the decision rule.In order to illustrate the efficiency of the method, an application in the optimizingboiler combustion is given.