基于无人机航路规划问题的蚁群算法综述  

The Review of Ant Colony Algorithm Based On UAV Route Planning

作　　者：柳丹 郭忠[1] 张树丽 

机构地区：[1]烟台大学机电汽车工程学院,山东烟台264000

出　　处：《汽车实用技术》2018年第1期111-113,共3页Automobile Applied Technology

摘　　要：蚁群算法是一种源于生物界的模拟进化算法,是解决优化问题最有效的算法之一。航路规划作为无人机控制研究的重要环节之一,文章以无人机航路规划问题为基础,集中讨论了对航路点的选取、路径点的信息素更新、与其他算法相结合的改进蚁群算法。Ant colony algorithm is a kind of simulated evolutionary algorithm derived from the biological boundary, and it isone of the most effective algorithms to solve the optimization problem. As an important part of UAV control research, routeplanning is based on UAV route planning. We focus on the selection of route points, pheromone update of path points, andimproved ant colony algorithm combined with other algorithms.

关 键 词：蚁群算法 航路规划 航路点 信息素 

分 类 号：U462[机械工程—车辆工程]