Abstract：Based on the ant colony algorithm, this paper studies the cluster cooperation problem of multi-UAV system in cooperative reconnaissance of complex target group, and optimizes the ant colony algorithm through cross strategy to improve the accuracy of the algorithm and form a better track scheme and reasonable scheduling strategy. The solution of this problem can not only deepen the research of multi-task allocation and multi-objective cooperative field, but also provide assistant decision-making for troops to carry out combat tasks.
梁烽杨, 杨毅钧, 刘功龙, 万兵, 高王升. 多无人机系统协同侦察规划算法研究[J]. 空天防御, 2021, 4(1): 103-108.
LIANG Fengyang, YANG Yijun, LIU Gonglong, WAN Bing, GAO Wangsheng. Research on Cooperative Reconnaissance Planning Algorithm of Multi-UAV System. Air & Space Defense, 2021, 4(1): 103-108.
