基于UMOP模型的无人机任务分配问题研究

UMOP Model Based Mission Assignment for UAVs

为解决无人机任务的分配问题,通过对飞行时间、作战威胁以及耗油量等非决定性因素进行综合考虑和建模分析,将其抽象为不确定变量;建立了带有专家信度的不确定多目标规划（UMOP）模型,并给出了相应的求解方法。最后,通过实例验证了该模型的有效性。

In order to solve the mission assignment problem of Unmanned Aerial Vehicles （UAVs）, the flight time, combat threat, fuel consumption and other indecisive factors are taken into consideration for modeling analysis, and the factors are abstracted into uncertain variables. An Uncertain Multi-Objective Programming （UMOP） model with expert reliability is established, and the corresponding solving methods are given. The validity of the model is verified through an example .