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

被引:4
|
作者
Lin J. [1 ]
Jia G. [1 ]
Hou Z. [1 ]
机构
[1] College of Aerospace Science and Engineering, National University of Defense Technology, Changsha
关键词
Genetic algorithm; Heterogeneous; Mixed integer linear program; Multi-unmanned aerial vehicle (UAV) formation; Task assignment;
D O I
10.3969/j.issn.1001-506X.2018.09.14
中图分类号
学科分类号
摘要
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. © 2018, Editorial Office of Systems Engineering and Electronics. All right reserved.
引用
收藏
页码:1986 / 1992
页数:6
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