An Alliance Confrontation Model of the UAVs Based on Improved Clustering Algorithm and Artificial Ant Colony Algorithm

In order to solve the problem of decomposing large scale unmanned aerial vehicle(UAV) group into small UAV groups and how to make alliance between small UAV groups is beneficial to the combat, a system countermeasure model of swarm UAV attack and defense is proposed. First, based on the characteristics of the small group of the attack and defense UAV, the objective function of the small group alliance of the attack and defense UAV is constructed, and then the improved clustering algorithm and the artificial ant colony algorithm are established respectively to calculate the objective function. Finally, the system confrontation scene is set, and the simulation verification of the model and algorithm is carried out. Through the analysis of simulation data, the validity of the model and algorithm is verified. The model provides an important reference for the decision-making of attack and defense of clustered UAVs.