Instance Generation Framework for Green Vehicle Routing-Reference-Cited by-同舟云学术

Instance Generation Framework for Green Vehicle Routing

Published:2021 Issue: Volume: Page:69-79
ISSN:2523-7047
Container-title:Optimization and Data Science: Trends and Applications
language:
Short-container-title:

Author:

Andrade Matheus Diógenes,Usberti Fábio Luiz

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-86286-2_6

Reference26 articles.

1. Andelmin, J., Bartolini, E.: An exact algorithm for the green vehicle routing problem. Transportation Science (2017). https://doi.org/10.1287/trsc.2016.0734

2. Andelmin, J., Bartolini, E.: A multi-start local search heuristic for the Green Vehicle Routing Problem based on a multigraph reformulation. Comput. Oper. Res. (2019). https://doi.org/10.1016/j.cor.2019.04.018

3. Andrade, M.D.: Formulations for the green vehicle routing problem. Institute of Computing, University of Campinas, Campinas, São Paulo, Brazil (2020)

4. Andrade, M.D.: Framework for GVRP instance generation. In: GitHub (2020). https://github.com/My-phd-degree/G-VRP-instance-generation. Cited 01 Apr 2021

5. Andrade, M.D., Usberti, F.L.: Valid Inequalities for the Green Vehicle Routing Problem. Anais do V Encontro de Teoria da Computação (2020). https://doi.org/10.5753/etc.2020.11086

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