The Research on the Path Optimization of Container Truck Based on Ant Colony Algorithm and MAS

This paper applies the up-to-date intelligent simulation ant colony algorithm to dynamic container truck scheduling. It proposes to take in real-time traffic information through GPS and to solve the problem on container truck scheduling with consideration of the optimal capability of ant colony in the searching process of food resources. Meanwhile, it puts information entropy into ant colony algorithm to improve the efficiency. Furthermore, computer simulation technique is to be used to combine scheduling model with the process, and then the dynamic container truck scheduling model is established.