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:: Volume 2, Issue 3 (11-2015) ::
2015, 2(3): 833-855 Back to browse issues page
A Memetic Algorithm for the Vehicle Routing Problem with Cross Docking
Sanae Larioui * 1, Mohamed Reghioui2 , Abdellah El Fallahi2 , Kamal El Kadiri2
1- University of abdelmalek Essaadi, Mhannech II, Tetouan, Morocco , sanae.larioui@gmail.com
2- University of abdelmalek Essaadi, Mhannech II, Tetouan, Morocco
Abstract:   (5544 Views)
In this paper we address the VRPCD, in which a set of homogeneous vehicles are used to transport products from the suppliers to customers via a cross-dock. The products can be consolidated at the cross-dock but cannot be stored for very long as the cross-dock does not have long-term inventory-holding capabilities. The objective of the VRPCD is to minimize the total traveled distance while respecting time window constraints of suppliers and customers and a time horizon for the whole transportation operation. Rummaging through all the work of literature on vehicle routing problems with cross-docking, there is no work that considers that customer will receive its requests from several suppliers; this will be the point of innovation of this work. A heuristic and a memetic algorithm are used to solve the problem. The proposed algorithms are implemented and tested on data sets involving up to 200 nodes (customers and suppliers). The first results show that the memetic algorithm can produce high quality solutions.
Keywords: Cross-docking, Vehicle Routing problem, Pickup and Delivery, Memetic algorithm
     

ePublished: 2017/09/28
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Larioui S, Reghioui M, El Fallahi A, El Kadiri K. A Memetic Algorithm for the Vehicle Routing Problem with Cross Docking. Journal title 2015; 2 (3) :833-855
URL: http://system.khu.ac.ir/ijsom/article-1-2453-en.html


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Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Volume 2, Issue 3 (11-2015) Back to browse issues page
International Journal of Supply and Operations Management International Journal of Supply and Operations Management
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