DocumentCode
2555925
Title
Ant colony optimization algorithm to solve split delivery vehicle routing problem
Author
Lu-si Sui ; Jia-fu Tang ; Zhendong Pan ; Shu-an Liu
Author_Institution
Key Lab. of Integrated Autom. of Process Ind. of MOE, Northeastern Univ., Shenyang
fYear
2008
fDate
2-4 July 2008
Firstpage
997
Lastpage
1001
Abstract
As a combinatorial optimization problem, vehicle routing problem (VRP) is a typical NP-hard problem; an assumption that the demand of customers can not be split is given to the traditional VRP formulation. However, the transportation cost can be reduced by means of splitting the demand of customers in practical logistics operation. This paper solved the split delivery vehicle routing problem (SDVRP) by means of the ant colony algorithm. The integer programming model of the problem is given in this paper, and a corresponding improved ant colony optimization algorithm (ACO) based on characteristic of the problem is designed to solve the problem. Some simulation experiments on this algorithm and in comparison with the traditional VRP are conducted, which show that the proposed ACO algorithm is effective and the SDVRP can reduce more total costs than traditional VRP.
Keywords
combinatorial mathematics; cost reduction; integer programming; logistics; transportation; vehicles; NP-hard problem; ant colony optimization algorithm; combinatorial optimization problem; customer demand; integer programming model; logistics operation; split delivery vehicle routing problem; transportation cost reduction; Algorithm design and analysis; Ant colony optimization; Automation; Costs; Linear programming; Logistics; NP-hard problem; Routing; Transportation; Vehicles; the split delivery vehicle routing problem (SDVRP) ant colony algorithm (ACO) logistic;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Decision Conference, 2008. CCDC 2008. Chinese
Conference_Location
Yantai, Shandong
Print_ISBN
978-1-4244-1733-9
Electronic_ISBN
978-1-4244-1734-6
Type
conf
DOI
10.1109/CCDC.2008.4597462
Filename
4597462
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