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
Link To Document :
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