DocumentCode
2192133
Title
A Route-Nearest Neighbor Algorithm for Large-Scale Vehicle Routing Problem
Author
He, Ruhan ; Xu, Weibin ; Wang, Ying ; Zhan, Wei
Author_Institution
Coll. Comput. Sci., Wuhan Univ. of Sci. & Eng., Wuhan, China
fYear
2010
fDate
2-4 April 2010
Firstpage
390
Lastpage
393
Abstract
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.
Keywords
search problems; transportation; geographically closed customers; large scale vehicle routing problem; neighbor search algorithm; route nearest neighbor algorithm; Automotive engineering; Computer security; Information technology; Intelligent vehicles; Large-scale systems; Nearest neighbor searches; Neural networks; Power engineering and energy; Recurrent neural networks; Routing; Nearest Neighbor (NN); Route-Nearest Neighbor (RNN); Vehicle Routing Problem (VRP);
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Information Technology and Security Informatics (IITSI), 2010 Third International Symposium on
Conference_Location
Jinggangshan
Print_ISBN
978-1-4244-6730-3
Electronic_ISBN
978-1-4244-6743-3
Type
conf
DOI
10.1109/IITSI.2010.144
Filename
5453600
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