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智能运筹学与动态系统实时优化控制

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

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【作者】 胡祥培许智超杨德礼

【Author】 HU Xiang pei,XU Zhi chao,YANG De li Institute of System Engineering, Dalian University of Technology, Dalian 116023, China

【机构】 大连理工大学系统工程研究所大连理工大学系统工程研究所 大连116023大连116023大连116023

【摘要】 针对传统的运筹学理论难以处理动态优化问题这一缺陷 ,将运筹学与人工智能及知识工程等学科理论交叉融合 ,提出创立智能运筹学这一新学科的构想 ,阐述了智能运筹学理论处理动态问题的原理和新思路 ,给出了动态系统实时优化控制 Multi- agent系统的框架结构 ,并较深入地研究了智能运筹学理论体系中的问题知识表示、模型知识表示、基于事例学习的建模方法与建模支持系统等理论和实践问题 .本项研究是运筹学与人工智能、知识工程等学科的交叉与渗透 ,为运筹学理论解决动态优化问题开辟了途径 .

【Abstract】 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.

【基金】 国家自然科学基金资助项目 (70 1710 40、79770 0 2 2和 7940 0 0 0 6) ;中国博士后基金资助项目 (第 2 0批 ) ;高等学校博士点基金资助项目 (2 0 0 10 14 10 2 5 ) ;辽宁省自然科学基金资助项目 (2 0 0 110 10 74) ;教育部“高等学校骨干教师资助计划
  • 【文献出处】 管理科学学报 ,Journal of Manegement Sciences In China , 编辑部邮箱 ,2002年04期
  • 【分类号】O223;O231
  • 【被引频次】26
  • 【下载频次】1430
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