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.
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.
出处
《华南师范大学学报（自然科学版）》
CAS
北大核心
2010年第2期50-54,共5页
Journal of South China Normal University(Natural Science Edition)
基金
广东省自然科学基金资助项目(8151063101000040)
关键词
蚁群算法
物流
拣货路径
优化
ant colony optimization algorithm
logistics
order picking tour
optimization
