Evolutionary Algorithm Inspired Particle Swarm Optimization (EA-PSO) for Warehouse Allocation Problem

摘要：

In this paper, considering both of access efficiency, order-picking and storage-space cost, a Evolutionary Algorithm Inspired Particle Swarm Optimization (EAPSO) 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), 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.

关键词： Warehouse Allocation COI Class-based Particle Swarm Optimization Evolutionary Algorithm

作者: Ye Wang Jun Zheng Su Wang

作者单位: East China Normal University Shanghai, China

会议类型: 国际会议

会议名称: 2011 3rd IEEE International Conference on Computer Research and Development(ICCRD 2011)(2011第三届计算机研究与发展国际会议)

会议地点: 上海

会议语种:英文

页码: 38-41

在线出版日期: 2011-03-11（万方平台首次上网日期，不代表论文的发表时间）