Target Search of UAV Swarm Based on Improved Wolf Pack Algorithm

This paper presents a collaborative target search method based on Improved Wolf Pack Algorithm (IWPA) for resolving the challenge of UAV swarm target search in an unknown 3D environment. The proposed approach enables UAVs to locate targets by maximizing the intensity of target signals, which can be classified into two modes: roaming search state and collaborative search state. In the collaborative search state, adaptive parameter adjustment and differential evolution techniques are utilized to overcome the limitations of the classical Wolf Pack Algorithm (WPA), such as fixed step size and local optima. Results from simulations demonstrate that IWPA significantly enhances the efficiency of target search tasks.