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Guidelines for the computational testing of machine learning approaches to vehicle routing problems

Luca Accorsi, Andrea Lodi and Daniele Vigo

Article (2022)

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Department: Department of Mathematics and Industrial Engineering
PolyPublie URL: https://publications.polymtl.ca/50935/
Journal Title: Operations Research Letters (vol. 50, no. 2)
Publisher: Elsevier
DOI: 10.1016/j.orl.2022.01.018
Official URL: https://doi.org/10.1016/j.orl.2022.01.018
Date Deposited: 18 Apr 2023 14:58
Last Modified: 25 Sep 2024 16:41
Cite in APA 7: Accorsi, L., Lodi, A., & Vigo, D. (2022). Guidelines for the computational testing of machine learning approaches to vehicle routing problems. Operations Research Letters, 50(2), 229-234. https://doi.org/10.1016/j.orl.2022.01.018

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