Research on Multi-objective clustering Optimization of Logistics Distribution Line

Abstract

In order to improve the ability of logistics distribution line optimization, a multi-objective clustering algorithm based on particle clustering is proposed. The maximum density sparse detection and adaptive optimization method are used to schedule the logistics distribution route. The particle swarm optimization (PSO) algorithm is used to construct the multi-objective optimization model of the logistics distribution line. The global optimization characteristics of the particle swarm optimization algorithm are used to optimize the logistics distribution route. PSO adaptive clustering method is used to realize multi-objective optimization of logistics distribution path. The simulation results show that the method has better performance in the optimization control of logistics distribution line, improves the efficiency of logistics, reduces the loss of logistics line, and improves the throughput performance of logistics line.