Research on UAV Path Planning with Mountain Stratification Model Based on Ant Colony Algorithm

With the widespread use of drones in the military field, future battlefields will use more and more drones, so the collaborative planning of drones is becoming more and more important. A multi-UAV flight path planning model was established and an effective model solving algorithm was studied. Aiming at the detection of mountainous areas, this paper proposes a mountain layered model optimization method based on ant colony algorithm. The search conditions of the ant colony algorithm are optimized, and the time and space complexity of the ant colony algorithm is reduced.