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Formation and adjustment of manned/unmanned combat aerial vehicle cooperative engagement system

机译:有人/无人战斗机协同系统的形成与调整

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Manned combat aerial vehicles (MCAVs), and unmanned combat aerial vehicles (UCAVs) together form a cooperative engagement system to carry out operational mission, which will be a new air engagement style in the near future. On the basis of analyzing the structure of the MCAV/UCAV cooperative engagement system, this paper divides the unique system into three hierarchical levels, respectively, i.e., mission level, task-cluster level and task level. To solve the formation and adjustment problem of the latter two levels, three corresponding mathematical models are established. To solve these models, three algorithms called quantum artificial bee colony (QABC) algorithm, greedy strategy (GS) and two-stage greedy strategy (TSGS) are proposed. Finally, a series of simulation experiments are designed to verify the effectiveness and superiority of the proposed algorithms.
机译:载人作战飞行器(MCAV)和无人作战飞行器(UCAV)共同形成了一种协作式交战系统来执行作战任务,这将在不久的将来成为一种新型的空中交战方式。在分析MCAV / UCAV协同参与系统的结构的基础上,将独特的系统分为三个层次,分别是任务级,任务集群级和任务级。为了解决后两个层次的形成和调整问题,建立了三个相应的数学模型。为了解决这些模型,提出了三种算法:量子人工蜂群算法(QABC),贪婪策略(GS)和两阶段贪婪策略(TSGS)。最后,设计了一系列仿真实验,以验证所提出算法的有效性和优越性。

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