运用蚁群算法解决物流中心拣货路径问题

详细信息

RESOLVING ORDER PICKING TOUR PROBLEMS IN THE DISTRIBUTION CENTER THROUGH ANT COLONY OPTIMIZATION ALGORITHM

摘要: 研究了运用蚁群优化算法解决物流中心拣货路径问题，并与传统的基于穿越策略的拣货路径策略做比较．执行结果显示以蚁群优化算法解决物流中心仓储拣货作业，可明显减少拣货路径的距离及拣货时间，提高物流中心的作业效率与服务水平．
- 蚁群算法 /
- 物流 /
- 拣货路径 /
- 优化
Abstract: The order picking problems in a warehouse of the distribution center through ant colony optimization algorithm (ACO) is studied, which is compared with the traditional picking tours based on the Z-traversal strategy. The results reveal that the ACO can reduce both the picking tour distances and the operation time significantly, thus the operation efficiency and service quality can be improved in a traditional warehouse of the distribution center.
- ant colony optimization algorithm /
- logistics /
- order picking tour /
- optimization