Systems Engineering and Electronics ›› 2026, Vol. 48 ›› Issue (7): 2340-2351.doi: 10.12305/j.issn.1001-506X.2026.07.19

• Systems Engineering • Previous Articles    

Ammunition deployment of UAV swarm based on multi-strategy public goods game

Beijia XU1, Xueda LIU2, Minggang YU1, Legui ZHANG1   

  1. 1. Command and Control Engineering School,Army Engineering University of PLA,Nanjing 210007,China
    2. Unit 32110 of the PLA,Heihe 164300,China
  • Received:2025-04-25 Revised:2025-09-15 Online:2026-01-27 Published:2026-01-27
  • Contact: Xueda LIU

Abstract:

To address the optimization problem of ammunition deployment in the scenario of distributed autonomous collaboration of unmanned aerial vehicle (UAV) swarm, an ammunition deployment method based on a multi-strategy public goods game model is proposed. Firstly, the core requirements for UAV swarm ammunition deployment are extracted, and the mapping relationship between requirements and the public goods evolutionary game model is constructed. Secondly, a multi-strategy public goods game model is established, and the aspiration-driven dynamics process is optimized and improved. Finally, a simulation framework is built using the multi-agent modeling method to analyze the impact of key parameters on the swarm cooperation level and strategy distribution, while exploring the regulatory effect of threshold values on the swarm cooperation state. Simulation results show that compared with the traditional single-strategy game model, the multi-strategy evolutionary game is more conductive to promoting swarm cooperation, and the swarm cooperation level and strategy distribution can be effectively regulated by adjusting the threshold value. The proposed method can effectively adapt to the operational needs of distributed autonomous collaboration of UAV swarm and provide reliable theoretical support for UAV swarm ammunition deployment decisions.

Key words: public goods game, unmanned aerial vehicle swarm, ammunition deployment, multi-strategy

CLC Number: 

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