摘要
基于无人机和目标之间的态势,研究不平衡目标任务分配建模和求解问题。首先,分析空战战场下无人机和目标之间的态势,提出一种某时刻的态势评估方法,建立多无人机不平衡目标分配模型;然后,用匈牙利遗传算法的目标分配算法求解该模型;最后,构建仿真算例进行仿真实验。仿真结果验证了所提算法的有效性,同时也表明了匈牙利遗传算法能够提升模型的求解效率。
Based on the situation between UAV and target,the modeling and solution of unbalanced target task assignment are studied.Firstly,the situation between UAV and target in air combat battlefield is analyzed,a situation assessment method at a certain moment is proposed,and an unbalanced target assignment model for multiple UAVs is established.Then,the Hungarian-genetic algorithm is adopted to solve the problem.Finally,a simulation example is built for experimental analysis.The simulation results verify the effectiveness of the algorithm and also show that the Hungarian-genetic algorithm can improve the solving efficiency of the model.
作者
姜燕
王道波
林飞
柏婷婷
姜丹丹
JIANG Yan;WANG Daobo;LIN Fei;BAI Tingting;JIANG Dandan(Nanjing University of Aeronautics and Astronautics,Nanjing 210000,China;Panjin Electric Power Supply Company,State Grid Liaoning Electric Power Supply Co.,Ltd.,Panjin 124000,China;Chengdu University of Information Technology,Chengdu 610000,China)
出处
《电光与控制》
CSCD
北大核心
2023年第5期6-10,22,共6页
Electronics Optics & Control
关键词
空战
无人机
目标分配
态势评估方法
匈牙利算法
遗传算法
air combat
UAV
target assignment
situational assessment method
Hungarian algorithm
genetic algorithm
