A Cooperative Search Algorithm Based on Improved Particle Swarm Optimization Decision for UAV Swarm
Ren Zhicai, Bo Jiang, Hong Xu · 2021 IEEE 6th International Conference on Computer and Communication Systems (ICCCS) · 2021
This paper presents an autonomous cooperative search algorithm for distributed micro unmanned aerial vehicles (UAVs), The probability model of the search graph is established by bayesian theory, and the search problem is transformed into the optimization problem of the cost function. In order to avoid a large number of UAVs gathering in the same place at the same time. We introduce the region density value as one of the optimization objectives. The purpose is to make the UAV swarm move to undeveloped areas and we use a particle swarm optimization algorithm to solve this model. The simulation shows that the algorithm effectively prevents clustering when the UAV cluster is large, so this algorithm can improve the search efficiency of UAV swarm.