Research on the Method of Logistics Distribution Vehicle Scheduling Based on the Hybrid Particle Swarm Optimization Algorithm

Abstract

In order to improve the vehicle scheduling ability of logistics distribution, a design method of logistics distribution vehicle scheduling model based on hybrid particle swarm optimization algorithm is proposed. The mixed particle swarm optimization method is used to sample the environmental information of logistics distribution vehicle distribution space, and the collected spatial data of logistics distribution vehicle distribution are scheduled and adaptive controlled by ambiguity. The three-dimensional path planning model of logistics distribution vehicle distribution space is established, and the fuzzy state optimization control method is used to carry out parallel scheduling in the process of logistics distribution vehicle scheduling, and the pheromone characteristic quantity of logistics distribution vehicle scheduling is extracted. The shortest path planning method is used to analyze the movement and driving characteristics of logistics distribution vehicles, the similarity information optimization method is used to optimize the logistics distribution vehicles, and the hybrid particle swarm optimization algorithm is used to optimize the logistics distribution vehicle scheduling process, and the optimal design of logistics distribution vehicle scheduling is realized. The simulation results show that the method has good adaptability and strong spatial optimization ability, which improves the intelligent planning ability of vehicle routing.