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基于改进层次聚类法的指挥控制资源部署

     

摘要

以网络化作战战场资源部署为研究背景,对战术指挥控制资源部署问题进行了描述.以决策实体工作负载的均方根最小为目标函数,建立了指挥控制资源部署问题的数学模型,提出了基于改进层次聚类法的指挥控制资源部署算法.该算法以作战任务-平台资源的分配结果为输入信息,对可部署决策实体数目范围设定、决策实体合并项选择和决策实体能力约束判定进行了改进,着重分析了每一层聚类的N-best备选策略和决策实体合并项选择方法.通过一个作战想定,分别从目标函数值、搜索空间大小两个方面对本算法和其他算法进行了比较.%Based on the research background of networked operation battlefield resource deployment, the tactical command and control resource deployment problem is described. The minimum of the root mean-square of the decision-making entities' workloads is taken as the objective function, a mathematical model is set up. Then, an algorithm based on the improved hierarchical clustering is presented. With the input information of task-platform assignment results, the hierarchical clustering method is improved with three aspects: the setting of the number range of decision-making entities, the selection method of combination items from current decision-making entities, and the assessment of the decision-making entities' capability restrictions. In each layer clustering, the N-best standby strategy and the combination item selection method are analyzed detailedly. Based on an operational scenario, the performances of the proposed algorithm are compared with other algorithms.

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