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Determination of the Optimal Routes for Autonomous Unmanned Aerial Vehicle Under Varying Wind with Using of the Traveling Salesman Problem Algorithm

机译:利用旅行推销员问题算法确定不同风中自主无人空中车辆的最佳路线

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The goal of this paper is to propose and test the algorithm for traveling salesman problem (TSP) for autonomous unmanned aerial vehicles. In this paper we consider the situation when the multicopter is flying under a variable wind and is intended to visit indicated points. We analyze the efficiency of the algorithm in case of limited flying time on a constant height.
机译:本文的目标是提出并测试自动无人驾驶车辆的旅行推销员问题(TSP)算法。在本文中,我们考虑了多变风在变量下飞行的情况,旨在访问指示的积分。在恒定高度的飞行时间有限的情况下,我们分析了算法的效率。

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