Abstract
With the development of chemical industry and the continuous improvement of infrastructure, logistics is becoming more and more important in the national economy. The problem of vehicle routing has been widely used in transportation, logistics, vehicles scheduling and industrial production. A reasonable distribution route can improve the efficiency of logistics distribution and reduce the cost. Because of its particularity, the chemical products have higher requirements for the vehicle flow, road condition and total mileage of the delivery route. In this paper, a dynamic particle swarm optimization algorithm is proposed by introducing the dynamic inertia weight coefficient, which balances the global search ability and the local search ability. Firstly, the theory of traditional particle swarm optimization (PSO) is introduced. Secondly, by optimizing the traditional weighting coefficients, we propose a dynamic particle swarm optimization algorithm, which improves the convergence speed effectively. Thirdly, based on the spatial geographic information technology (GIS), the distribution management information platform of chemical products is designed in detail. Finally, the path optimization algorithm proposed in this paper is simulated and verified. The results show that the improved algorithm can quickly and effectively determine the delivery route, which has great application value.
