基于蚁群算法的无人机航路规划

为了提高无人机(UAV)作战任务的成功率，在执行敌方防御区域内攻击任务前必需规划设计出高效的无人机飞行航路，保证无人机能够以最小的被发现概率及可接受的航程到达目标点。针对这一问题，对新近发展的蚁群算法进行了讨论，提出适用于航路规划的优化方法，并对无人机的攻击任务航路进行了仿真计算。仿真结果表明该方法是一种有效的航路规划方法。

Path Planning for Reconnaissance UAV Based on Ant Algorithm

To improve the efficiency of UAV in combat mission, a highly effective flight path for the UAV in the execution of the mission should be planned before the mission. This can ensure that the UAV should arrive at the target with a higher survivability and an acceptable path length. In view of this problem, this paper presents an optimal method of path planning based on the Ant Algorithm. The simulation results show that the method has some good characteristics and is effective in path planning.