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兵工学报 ›› 2021, Vol. 42 ›› Issue (5): 1111-1120.doi: 10.3969/j.issn.1000-1093.2021.05.024

• 论文 • 上一篇    

复杂作战网络体系博弈与重构方法

陈晓楠1, 胡建敏1, 池本亮1, 崔洋2   

  1. (1.国防大学 联合勤务学院, 北京 100089; 2. 91213部队, 山东 烟台 264000)
  • 上线日期:2021-06-12
  • 通讯作者: 胡建敏(1964—),男,教授,博士生导师 E-mail:cxn6300296@163.com
  • 作者简介:陈晓楠(1991—),男,硕士研究生。 E-mail: 645056777@qq.com

Game and Reconfiguration Method of Complex Combat Network System

CHEN Xiaonan1, HU Jianmin1, CHI Benliang1, CUI Yang2   

  1. (1.Joint Logistics College, National Defense University, Beijing 100089, China;2.Unit 91213 of PLA, Yantai 264000, Shandong, China)
  • Online:2021-06-12

摘要: 为了研究复杂作战网络体系中的双方作战博弈关系,提出一种改进的重构方法。对复杂作战网络体系中敌我双方的博弈方法进行描述,定义了作战节点结构重要程度和价值重要程度,以及同阵营与不同阵营的收益衡量方法,并在传统费米方程基础上提出了一种新的作战博弈策略更新准则;建立对敌网络重构模型,提出了重构敌方网络链接、重构敌方节点价值重要程度和重构敌方未知区域3种重构的方法;进行作战实例分析,通过仿真实验具体展现了复杂作战网络体系中博弈与重构的效果。结果表明:建立的作战博弈模型与对敌作战网络重构方法合理有效,对于研究复杂作战网络体系作战具有一定的实践意义。

关键词: 作战博弈, 复杂网络, 博弈策略, 网络重构, 结构重要程度, 价值重要程度

Abstract: An improved reconfiguration method is proposed to study the game relationship between the two sides in the complex combat network system. The game methods of the two sides in the complex combat network system are described, the importance degrees of structure and value of combat nodes are defined, the income measurement method of the same camp and different camp is defined, and a new strategy updating criterion is proposed based on the traditional Fermi equation. A reconstruction model of enemy network is established, and a new update rule of the combat game strategy is proposed. Three reconstruction methods for the enemy network link, the enemy node value and the unknown area of enemy are proposed. The combat case analysis is carried out, and the effect of the game and reconstruction in the complex combat network system is demonstrated through the simulation experiment. The results show that the game model and the reconstruction methods are reasonable and effective, which are of practical significance for the study of complex combat network system operations.

Key words: combatgame, complexnetwork, gamestrategy, networkreconstruction, structureimportance, valueimportance

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