A novel mission planning method for UAVs’ course of action

Abstract Military course of action for unmanned aerial vehicles (UAVs) has the characteristics with antagonism of both sides, uncertainty of execution results, diversity of war ways and urgency of war time. According to this, a novel mission planning method for UAVs’ course of action is proposed in this paper, which is based on a two-segment nested scheme generation strategy. The method is mainly divided into two parts: task decomposition stage and resource scheduling stage. Compared with other methods, this method can generate multiple schemes automatically of the whole operational process, and the generated schemes have great advantages in diversity and task completion time. And the correlation coefficient can be adjusted to realize the tendency of different optimization indexes. The effectiveness of this method is verified by the modelling and simulation of UAV cooperative operation.