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军事云环境下基于动态博弈的资源调度方法
引用本文:牛侃,张恒巍,王晋东,欧阳旦,王娜.军事云环境下基于动态博弈的资源调度方法[J].火力与指挥控制,2017,42(7).
作者姓名:牛侃  张恒巍  王晋东  欧阳旦  王娜
作者单位:1. 解放军信息工程大学,郑州 450001;解放军61226部队,北京 100079;2. 解放军信息工程大学,郑州,450001;3. 空军电子技术研究所,北京,100089
基金项目:国家自然科学基金资助项目
摘    要:针对军事云环境下联合指挥资源调度优化问题,综合考虑了多部队任务需求,多目标优化,多部队资源竞争等约束条件,运用动态博弈理论及方法,建立并提出了一种基于完全信息扩展博弈的资源调度模型及方法,提高了资源调度效率,兼顾了多部队利益,增加了联合作战效益。最后通过实验验证了其有效性及准确性。

关 键 词:军事云  联合指挥  资源调度  动态博弈  纳什均衡

Resource Scheduling Method Based on Dynamic Game under Military Cloud Environment
NIU Kan,ZHANG Heng-wei,WANG Jin-dong,OU Yang-dan,WANG Na.Resource Scheduling Method Based on Dynamic Game under Military Cloud Environment[J].Fire Control & Command Control,2017,42(7).
Authors:NIU Kan  ZHANG Heng-wei  WANG Jin-dong  OU Yang-dan  WANG Na
Abstract:To joint command resource scheduling optimization problem under the military cloud environment,this paper considers the constrains such as the multiple forces mission requirements, multi-objective optimization and the multiple forces competition for resources. It uses the theory and method of dynamic game to build and put forward a kind of resource scheduling model and method based on complete information extension game. The method improves the efficiency of the resource scheduling and balances the interests of multiple forces and increases the benefit of joint operations. Finally the effectiveness and accuracy are verified by experiment.
Keywords:military cloud  joint command  resource scheduling  dynamic game  nash equilibrium
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