Research on logistics distribution path optimization based on PSO and IoT

Logistics information tends to be large-scale and complicated, and must be handled by intelligent means to promote the sustainable and healthy development of the logistics industry. The key issue currently facing is the optimization of the logistics distribution path. First, analyze the current research status of Internet of Things (IoT) and the basic application of Particle Swarm Optimization (PSO); Then according to the development needs of logistics industry analyze the connection and restriction of optimal path planning. With this as a constraint, the optimization model is built with the goal of comprehensive cost; Then studied how to design and implement the logistics information system based on the IoT. The paper focuses on the design of information mechanism to ensure information security and the intelligent mechanism design to improve distribution efficiency. Finally, an optimization model of logistics distribution path based on IoT is established. The improved PSO algorithm is used to optimize and compare it with the traditional PSO algorithm. It is concluded that based on the logistics distribution model of the IoT, intelligent logistics is formed, so that goods and articles, goods and trucks, goods and people can all be contacted, and the distribution route can be rationally planned.