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动态立体仓库中穿梭车货到人多目标拣选路径优化 被引量:2

Multi-objective Picking Path Optimization of RGV in Dynamic Warehouse
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摘要 近年来,穿梭车被广泛地应用到仓库拣选作业中,传统的"人到货"拣选方式正逐渐被"货到人"的自动化拣选方式取代,所以,穿梭车拣选路径的选择变得尤为重要。文中创新性的将禁忌搜索算法应用到自动化立体仓库中穿梭车的拣选路径优化,对于提高仓库的作业效率具有重要意义。 In recent years, RGV has been widely applied to the warehouse picking, the traditional picker _ to _ parts mode is gradually replaced by the parts - to - picker automated picking mode, so the picking path selection of RGV becomes extremely important. In this paper, the tabu search algorithm is applied to path selection optimization of RGV in the automated warehouse, which has very important significance for improving the operational efficiency of warehouse.
出处 《物流工程与管理》 2017年第6期69-73,共5页 Logistics Engineering and Management
关键词 多目标拣选路径优化 禁忌搜索算法 Pareto思想 跳出策略 multi -objective optimization chosen path tabu search algorithm pareto thought jump out strategy
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