Luca Accorsi, Andrea Lodi and Daniele Vigo
Article (2022)
An external link is available for this itemDepartment: | Department of Mathematics and Industrial Engineering |
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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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