Simulation of Vehicle-Scheduling Model in Logistics Distribution Center Based on Artificial Intelligence Algorithm

The vehicle-scheduling problem of logistics distribution includes the optimization of goods collection route, goods loading and delivery route, which is the key to the optimization of logistics distribution system. The distribution vehicle scheduling problem is a NP (Non-deterministic Polynomial)-complete problem, which is usually solved by some heuristic algorithms and intelligent optimization algorithms. In this paper, the vehicle scheduling model of logistics distribution center is established based on AI (Artificial Intelligence) algorithm. The vehicle scheduling model of logistics distribution center is a very practical model, and the traditional model has the weakness of low solution accuracy or high consumption of computing resources and storage resources. Finally, an example is analyzed. From the calculation results of two examples, it is obvious that the average calculation time of the AI algorithm proposed in this chapter is much lower than that of GA (Genetic Algorithm). The average calculation time required in this paper is only 23 s, while GA takes 68 s. It can be seen that the algorithm proposed in this paper can effectively solve the logistics distribution vehicle scheduling problem. It can be seen that the algorithm in this paper effectively solves the optimal scheduling problem of logistics distribution vehicles with multiple distribution centers, multiple models and hard time windows.