摘要
针对无人机集群的数据链中继节点选择问题,提出在克隆蚁群算法(CSACA)基础上,融合文化算法的双层进化机制,避免搜索过程陷入局部最优解问题,然后利用蚁群算法全局搜索。仿真结果表明,该算法是求解无人机集群的数据链中继节点选择的一种有效算法。
Aiming at the problem of data link relay nodes selection in unmanned aerial vehicle (UAV) cluster,this paper proposes a two-layer evolution mechanism based on the clonal ant colony algorithm (CSACA) to avoid the search process falling into the local optimal solution problem,and then uses the ant colony algorithm to perform the global search.The simulation results show that the algorithm is an effective algorithm for solving the data link relay node selection of UAV cluster.
作者
肖刚
邹永显
王雷
邹浩彦
XIAO Gang;ZOU Yong-xian;WANG Lei;ZOU Hao-yan(The 20th Research Institute of CETC,Xi’an 710068,China;Unit 63963 of PLA,Beijing 100072,China;AVIC Aircraft Co.,Ltd,Xi’an 710089,China;The Office of Military Representatives Stationing in The XAC,Xi’an 710089,China)
出处
《舰船电子对抗》
2019年第3期77-80,共4页
Shipboard Electronic Countermeasure
关键词
文化算法
节点选择
蚁群算法
克隆选择算法
cultural algorithm
node selection
ant colony algorithm
clone selection algorithm
