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Intelligent operations research and real-time optimal control for dynamic systems

HU Xiang pei,XU Zhi chao,YANG De li Institute of System Engineering, Dalian University of Technology, Dalian 116023, China  
According to the weakness of OR in dealing with dynamic optimal problems, the outline of a new idea to create a new discipline, intelligent operations research (IOR), has been put forward in this paper by combining and inosculating operations research with artificial intelligence (AI) as well as knowledge engineering (KE). The principles and new method to deal with dynamic optimal problems for IOR have been stated. The system structure and its framework of multi agent system to handle real time optimal control in a dynamic system have been presented. The issues of theory and practice in IOR, such as knowledge representation for real problems, knowledge representation for models, modeling method of case based learning, modeling support system, have been studied more deeply. This research has promoted the interaction and inosculation among OR, AI and KE, etc., and creates a way for OR theory to solve optimal dynamic problems.
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