Année de publication
2023
Type
Conférence
Description
In 2023 9th International Conference on Control, Decision and Information Technologies (CoDIT) (pp. 938-943). IEEE.
Résumé
This paper addresses the Green Vehicle Routing Problem (GVRP) which is a variant of the VRP that uses alternative fuel vehicles (AFVs) to perform routes. Since AFVs have limited fuel tank capacity, refueling among the routes at alternative fuel stations (AFSs) is considered. To solve the problem, we propose an improved version of the tabu search metaheuristic. The proposed algorithm relies on two main components: a local search component and a perturbation component. Computational results show that our approach is highly effective in terms of solution quality and CPU time.
BibTeX
@inproceedings{tayachi2023improved,
title={An Improved Tabu Search Algorithm for the Green Vehicle Routing Problem},
author={Tayachi, Dalila and Dridi, Atef},
booktitle={2023 9th International Conference on Control, Decision and Information Technologies (CoDIT)},
pages={938--943},
year={2023},
organization={IEEE}
}
Lien



Atef Dridi