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

被引:2
|
作者
He, Ruhan [1 ]
Xu, Weibin [2 ]
Wang, Ying [3 ]
Zhan, Wei [4 ]
机构
[1] Wuhan Univ Sci & Engn, Coll Comp Sci, Wuhan 430073, Peoples R China
[2] Hubei Prov Tobacco Monopoly Bur, Wuhan 430030, Peoples R China
[3] Wuhan Univ Sci & Engn, Finance Sect, Wuhan 430073, Peoples R China
[4] Hubei Elect Power Info & Commun Ctr, Dept Info Dev & Management, Wuhan 430077, Peoples R China
关键词
Vehicle Routing Problem (VRP); Route-Nearest Neighbor (RNN); Nearest Neighbor (NN); GUIDED EVOLUTION STRATEGIES;
D O I
10.1109/IITSI.2010.144
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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.
引用
收藏
页码:390 / 393
页数:4
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