Generalized Optimization Based on Knowledge
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摘要: 傳統的優化方法在描述能力、建模方法、方法實現和模型數據的分析等方面都存在著局限性,需要引入新的思路.針對上述問題,提出了基于知識的廣義優化方法,給出了廣義優化中知識概念、優化問題的描述,以及基于知識的廣義優化方法的一般求解過程.其基本方法是在優化問題知識模型的基礎上,建立基于知識的廣義優化算法,通過知識系統的約簡,得到用于制定優化方案的決策規則.同時給出了基于知識的廣義優化方法在在鍋爐燃燒優化問題中的應用示例,說明了方法的有效性.Abstract: It is known that the traditional optimal theory has limitations on the ability of descriptions, the method of modeling, the realization of the method and the analysis of the model data. The concept and the method of generalized optimization based on knowledge are presented.They include the concept of knowledge in 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 optimizing boiler combustion is given.
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Key words:
- knowledge /
- generalized optimization /
- boiler combustion
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