Multi-AUV Hunting Strategy Based on the Lions Group Algorithm

Inspired by cooperative hunting of lionesses, this paper presents a Lions Group Algorithm for cooperative hunting tasks involving multiple AUVs (autonomous underwater vehicles). The lions group algorithm is developed around two core relationships: the dynamic game relationship between the hunters and the target and the cooperative relationship between hunters. In this paper, the lions group algorithm is divided into three stages. In each stage, the dynamic game model between the hunters and the target is constructed, and the cooperation model between the hunters is constructed. At the same time, in these three phases, a dynamic allocation mechanism for the roles and tasks of hunters was established. The simulation experiment revealed the hunting effect. The results show that the path planning and obstacle avoidance strategy of the hunters, the target's escape strategy, the complexity of the environment, and the speed relationship between the hunter and the target affect the hunting effect.