Abstract:

The UAV faces a flinty challenge when executing aerial reconnaissance, surveillance and campaign as the environment of modern battle field is becoming more and more complicated and large. A route planning algorithm is proposed to increase efficiency of campaign and survival of unmanned aerial vehicles (UAV). The algorithm first search a coarse route as fast as possible based on threat avoidance technique according to threat areas in battle field. Then it optimizes the coarse route globally by employing the particle swarm algorithm and the idea of intercross and variation in genetic algorithm. The result of simulating shows the algorithm can find an optimized safe route by consuming less iteration times.