药品配送有初始路径与无初始路径的有能力车辆路径问题比较

Jessi Febria, Christine Dewi, Evangs Mailoa
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引用次数: 1

摘要

由于印度尼西亚发生的第二次浪潮,对药品的需求增加了。本文研究了中爪哇地区医院的药品配送问题,该问题被归类为有能力车辆路线问题(CVRP)。该方法采用相同大小的k均值和贪心算法作为初始路由。初始路线的结果是每个车辆的聚类路线。然后,使用Google or工具的元启发式引导局部搜索,对每个聚类进行重新优化。本文证明,与不使用初始路由相比,使用初始路由可使运行时间缩短98.91%。这是因为使用具有相同大小K-means的初始路由意味着将问题分解为多个部分,然后使用贪心算法可以减少可能的路由数量。但是,总距离增加了8.11%,因为不允许集群成员移动到另一个集群。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Comparison of Capacitated Vehicle Routing Problem Using Initial Route and Without Initial Route for Pharmaceuticals Distribution
The demand for pharmaceuticals increased due to the second wave that happening in Indonesia. Pharmaceuticals distribution for hospitals in Central Java is developed in this paper, which is categorized as a Capacitated Vehicle Routing Problem (CVRP). The proposed method is using the same size K-means and Greedy algorithm as an initial route. The result of the initial route is a clustered route for each vehicle. Then, using Google OR-tools metaheuristics Guided Local Search, each cluster was re-optimized. This paper, proven that using the initial route has the effect of reducing runtime by 98.91% when compared to without the initial route. This is because using initial routes with the same size K-means means breaking the problem into parts, then using the Greedy algorithm can reduce the number of possible routes. However, the total distance increased by 8.11% because no cluster member is allowed to move to another cluster.
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