【作者】 柳长安； 王和平； 詹浩； 李为吉；

【Author】 LIU Chang-an, WANG He-ping, ZHAN Hao, LI Wei-ji (Aircraft Engineering Department, Northwestern Polytechnical University, Xi’an 710072, China)

【机构】 西北工业大学航空学院；

【摘要】 蚂蚁算法是一种新的源于大自然生物界的仿生随机优化方法。它吸收了昆虫中蚂蚁的行为特性,通过其内在的搜索机制,在一系列组合优化问题求解中取得了成效。将蚁群算法应用于无人机(UAV)航路规划,提出了一种适用于航路规划的优化方法,可以为在敌方防御区域内执行攻击任务的无人机规划设计出高效的飞行航路,保证无人机以最小的被发现概率及可接受的航程到达目标点,提高了无人机作战任务的成功率。仿真结果初步表明该方法是一种有效的航路规划方法。更多还原

【Abstract】 The Ant Algorithm is a newly developed heuristic method. This method has some characteristics of the ant actions in the finding foods, which has been proven a good effectiveness in the combinatorial optimization problems. This paper presents a method using Ant Algorithm to plan the effective path the UAV will fly during the execution of the mission, which give a promise for the UAV to arrive at the target with a higher survivalbility and acceptable path length. Simulation results preliminarily show that the optimal method has some good characteristic.更多还原