【摘要】 阐述了迪卡侬(昆山)配送中心的高层货架区在夜间货物整理时的货位优化问题,根据时间、空间优化目标,建立了该配送中心的货位优化模型,并提出了基于整数编码的多目标Pareto混合遗传算法求解该模型,该算法将共享函数引入小生境技术、精英保留策略和Pareto解集过滤器,增加了群体的多样性、解的多样性,高效地解决物流配送中心货位优化问题。算例结果表明:经过100次迭代后的货位分配方案更有效率,货物出入库的效率比优化前提高了52.02%,货架的稳定性提高了64.31%,货位分配布局更加有序合理。更多还原

【Abstract】 In this paper, we illustrated the cargo slot optimization problem of the high- level rack area of the Decathlon(Kunshan) Distribution Center in night- time cargo sorting activities, built the cargo slot optimization model of the distribution center, and proposed a multi- objective Pareto hybrid genetic algorithm based on integer encoding to solve it. Then using a numerical example, we demonstrated that the cargo slot allocation plan derived using the algorithm proposed could lead to more efficient inbound and outbound operation and cargo slot arrangement.更多还原