基于蚁群算法的无人机侦察任务分配

Assignment of UAV Reconnaissance Task Based on Ant Colony Algorithm

随着无人机(Uninhabited Aerial Vehicle,UAV)平台自身性能和信息化水平的提升,如何对无人机进行侦察任务分配成为重点问题;并且任务分配问题涉及无人机和目标数量、位置、性能等众多因素,也使任务分配问题变得十分复杂。针对侦察任务分配问题,进行分配建模研究,细化约束条件,使其更贴合实际应用场景。利用蚁群算法对分配模型求解,综合考虑所涉及的无人机性能、目标特点、数量等多种因素,并获得合理的分配方案,对实际应用具有一定的意义。

With the improvement of UAV(Uninhabited Aerial Vehicle)platform performance and IT level,modern battlefield environment has become more and more complex.How to assign reconnaissance tasks to UAV has become a key issue.In addition,there are many factors involved in task allocation problem,including number,location,and performance of UAV and targets,which makes task allocation problem very complicated.Aiming at the problem of reconnaissance task assignment,assignment modeling is studied to refine the constraint conditions and make it more suitable for practical application scenarios.Using ant colony algorithm to solve the assignment model can comprehensively consider various factors involved and obtain a reasonable distribution scheme,which has certain significance for practical application.