基于蚁群算法的码头集装箱卡车路径优化研究

Research of the Routing Optimization for Container Trucks in Dock With ant Colony Algorithm

分析了集装箱码头作业流程及其传统作业工艺,提出了使用蚁群算法,以集装箱卡车到达目的地的距离最短为目标,建立集装箱卡车路径优化模型,为码头集装箱卡车寻求出发点与目的地之间的最短路径。实验表明,该方法能有效解决集卡最短路径搜索问题。

In this paper, we analyze the process of container terminal operations and the traditional mode. Then, the routing optimization, which targets in the minimum route of container trucks is presented. The model is to seek the shortest route of container trucks which travels from the source to the destination. It is proved by the experiments that the problem for the container truck to search the shortest path can be solved with ant colony algorithm effectively.