Open Access
2013 Dynamic Vehicle Routing Using an Improved Variable Neighborhood Search Algorithm
Yingcheng Xu, Li Wang, Yuexiang Yang
J. Appl. Math. 2013: 1-12 (2013). DOI: 10.1155/2013/672078


In order to effectively solve the dynamic vehicle routing problem with time windows, the mathematical model is established and an improved variable neighborhood search algorithm is proposed. In the algorithm, allocation customers and planning routes for the initial solution are completed by the clustering method. Hybrid operators of insert and exchange are used to achieve the shaking process, the later optimization process is presented to improve the solution space, and the best-improvement strategy is adopted, which make the algorithm can achieve a better balance in the solution quality and running time. The idea of simulated annealing is introduced to take control of the acceptance of new solutions, and the influences of arrival time, distribution of geographical location, and time window range on route selection are analyzed. In the experiment, the proposed algorithm is applied to solve the different sizes' problems of DVRP. Comparing to other algorithms on the results shows that the algorithm is effective and feasible.


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Yingcheng Xu. Li Wang. Yuexiang Yang. "Dynamic Vehicle Routing Using an Improved Variable Neighborhood Search Algorithm." J. Appl. Math. 2013 1 - 12, 2013.


Published: 2013
First available in Project Euclid: 14 March 2014

zbMATH: 1268.90005
MathSciNet: MR3032244
Digital Object Identifier: 10.1155/2013/672078

Rights: Copyright © 2013 Hindawi

Vol.2013 • 2013
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