摘要
文章针对侦察无人机航路规划这一问题,分析了影响航路规划的因素,构建了航路规划的模型。结合侦察无人机航路规划的特点与模型,论证了基于蚁群算法求解的理由与优点,并对蚁群算法的初始信息素强度与启发因子进行了改进。最后以岛屿进攻战役这一特定作战任务为例,利用MATLAB实现了侦察多目标时的航路规划问题。
With the problem of path planning of reconnaissance UAV,its influential factors and model are analyzed.Then the reasons and priority of using ant algorithm to solve the problem are researched,meanwhile the initial information intensity and stimulating factor are also improved.With the example of island offensive battle,the best path is worked out by MATLAB.
出处
《运筹与管理》
CSCD
2007年第3期97-102,共6页
Operations Research and Management Science
关键词
军事运筹学
航路规划
蚁群算法
侦察无人机
military operational research
path planning
ant algorithm
reconnaissance UAV
