Fleet mission planning for Unmanned Aerial Vehicles (UAVs) is the process of creating flight plans for a specific set of objectives and typically over a time period. Due to the increasing focus on the usage of large UAVs, a key challenge is to conduct mission planning addressing changing weather conditions, collision avoidance, and energy constraints specific to these types of UAVs. This paper presents a declarative approach for solving the complex mission planning resistant to weather uncertainty. The approach has been tested on several examples, analyzing how customer satisfaction is influenced by different values of the mission parameters, such as the fleet size, travel distance, wind direction, and wind speed. Computational experiments show the results that allow assessing alternative strategies of UAV mission planning.

中文翻译：

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抗天气不确定性的无人机任务计划。

无人飞行器（UAV）的机队任务计划是为特定目标集（通常是一段时间）创建飞行计划的过程。由于越来越多地关注大型无人机的使用，一个关键的挑战是进行任务规划，以解决这些类型的无人机特有的天气条件变化，避免碰撞和能量限制的问题。本文提出了一种声明性方法来解决复杂的任务计划，以抵抗天气不确定性。该方法已在多个示例上进行了测试，分析了客户参数如何受任务参数的不同值（如机队规模，行进距离，风向和风速）的影响。计算实验显示了可以评估无人机任务计划替代策略的结果。