A theoretical and computational study of green vehicle routing problems-Reference-Cited by-同舟云学术

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A theoretical and computational study of green vehicle routing problems

Published:2023-06-07 Issue:5 Volume:45 Page:
ISSN:1382-6905
Container-title:Journal of Combinatorial Optimization
language:en
Short-container-title:J Comb Optim

Author:

Andrade Matheus Diógenes^ORCID,Usberti Fábio Luiz

Funder

Fundação de Amparo à Pesquisa do Estado de São Paulo

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Fundación Banco Santander

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Computational Theory and Mathematics,Control and Optimization,Discrete Mathematics and Combinatorics,Computer Science Applications

Link

https://link.springer.com/content/pdf/10.1007/s10878-023-01043-4.pdf

Reference30 articles.

1. Agency USEP (2016) Sources of greenhouse gas emissions. https://www.epa.gov/ghgemissions/sources-greenhouse-gas-emissions

2. Andelmin J, Bartolini E (2017) An exact algorithm for the green vehicle routing problem. Transp Sci 51(4):1288–1303. https://doi.org/10.1287/trsc.2016.0734

3. Andelmin J, Bartolini E (2019) A multi-start local search heuristic for the green vehicle routing problem based on a multigraph reformulation. Comput Oper Res 109:43–63. https://doi.org/10.1016/j.cor.2019.04.018

4. Andrade MD (2020) Master thesis code. https://github.com/My-master-degree/Master-thesis-code.git

5. Andrade MD, Usberti FL (2020) Valid inequalities for the green vehicle routing problem. In: Anais do V Encontro de Teoria da Computação, SBC, Porto Alegre, RS, Brasil, pp 45–48. https://doi.org/10.5753/etc.2020.11086

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