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:	08 Apr 2025 07:18

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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