DocumentCode :
1598191
Title :
An Improved Ant Algorithm for VRP with the Shortest Delivery Time In Distribution Center
Author :
Chen, Zixia
Author_Institution :
Zhejiang Gongshang Univ., Hangzhou
Volume :
4
fYear :
2007
Firstpage :
761
Lastpage :
765
Abstract :
An improved ant algorithm is brought up to minimize the delivery time of vehicle routing problem (VRP) in distribution center. Firstly VRP whose objective is to minimize the delivery time is given, then the optimal vehicle distribution route division approach of distribution center for given customer array is defined, and the ant colony algorithm for VRP with objective to minimize the delivery time is presented. The research of this paper is based on the information and application case of tobacco network in Hangzhou city. By investigating, we created two different system models. One is division of distribution route of distribution center, and the other is optimization of single vehicle route. The computational example tests and verifies the solution.
Keywords :
combinatorial mathematics; minimisation; tobacco industry; transportation; vehicles; Hangzhou city; ant colony algorithm; combinatorial optimization; delivery time minimisation; distribution center; optimal vehicle distribution route division approach; shortest delivery time; tobacco network; vehicle routing problem; Cities and towns; Costs; Elasticity; Knowledge management; Partitioning algorithms; Routing; Testing; Time factors; Transportation; Vehicles;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Natural Computation, 2007. ICNC 2007. Third International Conference on
Conference_Location :
Haikou
Print_ISBN :
978-0-7695-2875-5
Type :
conf
DOI :
10.1109/ICNC.2007.204
Filename :
4344774
Link To Document :
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