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A Route-Nearest Neighbor Algorithm for Large-Scale Vehicle Routing Problem

机译:大规模车辆路径问题的近邻算法

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We present a new neighbor search algorithm named route-nearest neighbor (RNN) for searching the next node in large-scale vehicle routing problem (VRP). The RNN algorithm is used to divide the area customers into several routes. The key step in the route construction is how to search the next node (i.e., neighbor). Different from the Nearest Neighbor (NN) algorithm that search the neighbor of the current node, the RNN algorithm searches the neighbor of route. The objective of the route is to design a group of geographically closed customers within capacity. The experiments were carried out on a real dataset with 6772 tobacco customers. The results demonstrate that the RNN algorithm has better geographically closed customers than traditional NN algorithm.
机译:我们提出了一种新的邻居搜索算法,称为路由最近邻居(RNN),用于在大规模车辆路由问题(VRP)中搜索下一个节点。 RNN算法用于将区域客户分为几条路线。路由构建中的关键步骤是如何搜索下一个节点(即邻居)。与搜索当前节点的邻居的最近邻居(NN)算法不同,RNN算法搜索路由的邻居。该路线的目标是在能力范围内设计一组地理上封闭的客户。实验是在具有6772名烟草顾客的真实数据集上进行的。结果表明,与传统的NN算法相比,RNN算法具有更好的地理位置封闭客户。

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