Research on warehouse allocation problem based on the Artificial Bee Colony inspired particle swarm optimization (ABC-PSO) algorithm
Based on the conception of storing by category as well as taking the cost of storing, fetching and place occupation under consideration, this paper denotes a Artificial Bee Colony inspired Particle Swarm Optimization algorithm intending to figure out the problem of storage position allocation in the warehouse schedule. A value called COI (Cube-perorder index) is introduced in the allocation procedure as the criterion of categories in order to partition the goods. In the last part of this paper, the efficiency and result of this algorithm are analyzed by deploying it into the practical applications, which also proves that this algorithm can deal with this problem effectively.
Warehouse allocation COI Particle Swarm Optimization Artificial Bee Colony algorithm
Wenxin Hu Ye Wang Jun Zheng
Computer Center East China Normal University Shanghai, China
国际会议
杭州
英文
173-176
2012-10-28(万方平台首次上网日期,不代表论文的发表时间)