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International Journal of Advanced Computer Science and Applications(IJACSA), Volume 14 Issue 12, 2023.
Abstract: The collaboration between distribution companies is gaining a great interest in the last years due to the benefit provided to reduce the cost of deliveries. In this work we study the centralized two-echelon collaborative multi-center multi-periodic vehicle routing problem with a specific constraints. In which each distribution center conserves its VIP customers, and each partner keep their delivery scheduling unchangeable. The problem is modelled as a MILP, and to solve it a hybrid algorithm is proposed. This algorithm combines a multi-population memetic algorithm (MPMA) and a variable neighbourhood search algorithm that integrates a tabu search list (VNS-T). The results obtained are compared with those obtained by CPLEX solver and the best known solution of the multi-depot vehicle routing problem (MDVRP).
Camelia Snoussi, Abdellah El Fallahi and Sarir Hicham, “A Memetic Algorithm to Solve the Two-Echelon Collaborative Multi-Centre Multi-Periodic Vehicle Routing Problem with Specific Constraints” International Journal of Advanced Computer Science and Applications(IJACSA), 14(12), 2023. http://dx.doi.org/10.14569/IJACSA.2023.0141296
@article{Snoussi2023,
title = {A Memetic Algorithm to Solve the Two-Echelon Collaborative Multi-Centre Multi-Periodic Vehicle Routing Problem with Specific Constraints},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2023.0141296},
url = {http://dx.doi.org/10.14569/IJACSA.2023.0141296},
year = {2023},
publisher = {The Science and Information Organization},
volume = {14},
number = {12},
author = {Camelia Snoussi and Abdellah El Fallahi and Sarir Hicham}
}
Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.