摘要
本文介绍了一种蚁群算法(Ant Colony Optimization,ACO)在直升机航路规划中的应用,给出的n个目标点的坐标信息,利用蚁群算法计算出最短路径;并利用MFC生成最优路径。该方法直观、有效;经过多次的实验论证,有着较高的应用价值。
this article describes an Ant Colony Optimization（ACO） in the use of helicopters route planning.The experiment gives the coordinates of the target point of several points,uses an Ant Colony Optimization to calculate the shortest path.It also use Microsoft Foundation Class to show the optimal path.The method is intuitive,effective and demonstrated by many experiments,so it has a higher value.
出处
《黑龙江科技信息》
2010年第23期86-86,共1页
Heilongjiang Science and Technology Information
关键词
航迹规划
蚁群算法
最优路径
route planning
Ant Colony Optimization
optimal path
