Incremental Mining Method of Warehouse Operation Process in Production Enterprises Based on Swarm Intelligence

Abstract

In order to improve the scheduling ability of production enterprise warehouse operation, an incremental mining algorithm of production enterprise warehouse operation process based on swarm intelligence algorithm is proposed. The particle swarm optimization method is used to sample the environmental information of the warehouse operation area of the production enterprise, and the collected data of the warehouse operation area of the production enterprise are dynamically weighted, and the shortest path optimization control is carried out. Particle swarm optimization (PSO) is used to detect the shortest path for incremental mining and block search of warehouse operation process in production enterprises, and the pheromone feature quantity of incremental mining of warehouse operation process in production enterprises is extracted. Through the adaptive optimization process of incremental mining of warehouse operation process of production enterprises, incremental mining and shortest optimization control of warehouse operation process of production enterprises are realized. The simulation results show that the optimization ability of incremental mining of warehouse operation process of production enterprises using this method is better, which improves the response ability of warehouse operation of production enterprises and reduces the time cost of delivery.