基于优化PageRank算法的作战行动重要度排序方法研究  

Research on the Importance Ranking Method of Operaions Based on Optimized PageRank Algorithm

作　　者：吴蕾 潘寒尽 畅杰 高超 WU Lei;PAN Hanjin;CHANG Jie;GAO Chao(A Research Institute of Army Aviation College,Beijing 101121)

机构地区：[1]陆军航空兵学院某研究所,北京101121

出　　处：《舰船电子工程》2024年第10期71-74,共4页Ship Electronic Engineering

摘　　要：从计算机战争模拟产生的海量数据中快速、准确地找出关键行动,可以辅助导演部掌握作战过程,实现对演习评估的支撑。分析共现行动以及构建作战行动共现网络模型,并利用改进的PageRank算法对作战行动重要度排序。实验表明,优化的PageRank算法能够更好地对作战行动进行重要度排序,实现对关键行动的提取。Quickly and accurately identifying key actions from the massive data generated from wargaming can assist the directing department in mastering the operational process and providing support for wargaming evaluation.This paper analyzes co-occurrence actions and constructs a co-occurrence network model for operational actions,and uses the improved PageRank algorithm to rank the importance of operational actions.Experiments have shown that the optimized PageRank algorithm can rank the importance of operational actions better and achieve the extraction of key actions.

关 键 词：战争模拟 关键行动 重要度排序 共现网络 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构]