Dynamic Vehicle Routing Using an Improved Variable Neighborhood Search Algorithm
Joint Authors
Yang, Yuexiang
Xu, Yingcheng
Wang, Li
Source
Journal of Applied Mathematics
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-02-19
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Xu, Yingcheng& Wang, Li& Yang, Yuexiang. 2013. Dynamic Vehicle Routing Using an Improved Variable Neighborhood Search Algorithm. Journal of Applied Mathematics،Vol. 2013, no. 2013, pp.1-12.
https://search.emarefa.net/detail/BIM-489258
Modern Language Association (MLA)
Xu, Yingcheng…[et al.]. Dynamic Vehicle Routing Using an Improved Variable Neighborhood Search Algorithm. Journal of Applied Mathematics No. 2013 (2013), pp.1-12.
https://search.emarefa.net/detail/BIM-489258
American Medical Association (AMA)
Xu, Yingcheng& Wang, Li& Yang, Yuexiang. Dynamic Vehicle Routing Using an Improved Variable Neighborhood Search Algorithm. Journal of Applied Mathematics. 2013. Vol. 2013, no. 2013, pp.1-12.
https://search.emarefa.net/detail/BIM-489258
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-489258