In this paper, considering both of access efficiency, order-picking and storage-space cost, a Evolutionary Algorithm Inspired Particle Swarm Optimization (EA-PSO) Algorithm is developed to solve the Warehouse Allocation Problem. Based on the Warehouse Storage Policy, a Class- based storage method is proposed. Moreover, during the procedures goods are ordered by their cube per order index (COI),
... [Show full abstract] and then partitioned into new classes maintaining this ordering. At the end of this paper, the effectiveness of EA-PSO Algorithm is confirmed by simulation experiments.