Research on warehouse slotting optimization using sparrow search algorithm and particle swarm algorithm

In order to improve the utilization rate of storage space and reduce the workload of transportation, a storage optimization scheduling method of three-dimensional warehouse was proposed. Firstly, according to the storage efficiency model, shelf stability model and material correlation model, the storage optimization model of three-dimensional warehouse is established. Then, the sparrow search algorithm in particle swarm optimization is proposed to optimize the storage model of 3D warehouse. Finally, the sparrow search algorithm and particle swarm optimization sparrow search algorithm are compared and analyzed respectively, and the reliability of the proposed method is verified by the results. The storage space optimization method provides scientific guidance for improving storage utilization rate.