•  
  •  
 

Journal of System Simulation

Abstract

Abstract: The identification of key nodes in an operational target system is an important basis for combat command decision-making. Due to the lack of experimental verification of key node identification in the current operational target system in a campaign-level dynamic confrontation environment, a complex network model of operational target system with large-scale entities and complex interaction relationship was constructed by taking integrated air defense network as an example, with the help of the data derived from the large joint war gaming; the characteristics of wargame data were considered, and the value characteristics of combat targets and network structure characteristics were integrated, embodying the contribution rate of the system. The value index system of operational targets was proposed, and the deep reinforcement learning framework-FINDER framework was adopted to identify the key nodes of the complex network model of the operational target system. By means of war gaming, the change in system effectiveness after removing the key nodes identified by the FINDER framework was observed and compared with the change in system effectiveness deduced manually. The results verified the effectiveness of the proposed method.

First Page

2654

Last Page

2661

CLC

TP391

Recommended Citation

Zhang Yongfu, Liu Yang, Yuan He. A Method for Key Node Identification in Operational Target System Based on War Gaming[J]. Journal of System Simulation, 2024, 36(11): 2654-2661.

DOI

10.16182/j.issn1004731x.joss.23-0947

Download

Share

COinS