A Multi-agent Cluster Cooperative Confrontation Method Based on Swarm Intelligence Optimization

In recent years, with the third wave of development of artificial intelligence (AI), multi-agent system has become a hot topic in the field of distributed AI. As an important form of intelligent operation, multi-intelligence UAV cluster operation is emerging. This paper establishes a “Red vs Blue Multi-UAVs Cooperative Confrontation Strategy” (RB-MCCS). According to the red and blue UAV penetration and interception problems, this paper designs the UAV breakout cost and the optimal strategy optimization models. Furthermore, a swarm intelligence optimization method is introduced to solve the model.