异构UAV编队反雷达作战中任务分配方法

Research on task assignment of heterogeneous UAV formation in the anti-radar combat

针对异构无人机编队在反雷达作战中的任务分配特点,建立了无人机与执行任务之间合理的协同约束关系,提出了基于时间窗的异构无人机编队混合整数线性规模型。同时,结合遗传算法的全局搜索和并行计算能力,提出了基于时间窗的多层编码遗传算法实现异构无人机编队任务分配。仿真实验和分析表明了两种算法的有效性,并对比分析了它们的优势与适用范围。

According to the characteristics of the heterogeneous unmanned aerial vehicle（UAV）formation cooperative task assignment in the anti-radar combat,an improved mixed integer linear program task assignment algorithm which takes the time window in to account,is proposed.Specifically,the reasonable variable definition and collaborative constraints between UAVs and the tasks are presented in detail.On the other hand,since the genetic algorithm has advantages of global search ability and parallel computing ability,a time-window based multi-layer coding genetic algorithm is proposed too.The simulation and analysis show the proposed algorithms are available for the anti-radar cooperative combat,and the related advantages and applicability of the presented algorithms are analyzed too.