蚁群算法在远程鱼雷航路规划中的应用

Application of Ant-Colony Algorithm in Route Programming of Long-distance Torpedo

为了确保远程鱼雷航渡过程中能够在有效规避威胁的基础上选择一条最优(最短)的航行路径,提出了一种基于蚁群算法的航迹规划方法。该方法首先将融合威胁区域(碍航物与敌方探测区域)信息的海图栅格化,然后在栅格化海图的基础上运用蚁群算法进行航路规划。仿真结果表明,该方法能有效解决远程鱼雷航路规划的问题。

In order to ensure that an optimal navigation route can be selected on the basis of effectively avoiding threats in the course of long-distance torpedo ferrying,a route programming method based on ant colony algorithm is proposed. The method first rasterizes the chart that fuse the threat area information ,and then uses the ant colony algorithm for route programming based on the rasterized chart. Simulation results show that the method can effectively solve the problem of long-distance torpedo route programming.