多无人机系统协同侦察规划算法研究

Research on Cooperative Reconnaissance Planning Algorithm of Multi-UAV System

基于蚁群算法研究多无人机系统在协同侦察复杂目标群的集群协作问题,通过去交叉策略局部优化蚁群算法,提高算法求解精度,形成较优的航迹方案和合理调度策略。该问题的求解不仅能深化多任务分配及多目标协同领域的研究,还能为部队执行作战任务提供辅助决策。

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.