Machine Learning–Augmented Optimization of Large Bilevel and Two-Stage Stochastic Programs: Application to Cycling Network Design
Published Online:17 Sep 2025https://doi.org/10.1287/msom.2024.1317
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- Transportation Science, Vol. 60, No. 1
- 30 October 2025 | Entropy, Vol. 27, No. 11
Volume 27, Issue 6
November-December 2025
Pages 1683-2035, iii
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- Received:September 04, 2024
- Accepted:August 21, 2025
- Published Online:September 17, 2025
Copyright © 2025, INFORMS
Cite as
Timothy C. Y. Chan, Bo Lin, Shoshanna Saxe (2025) Machine Learning–Augmented Optimization of Large Bilevel and Two-Stage Stochastic Programs: Application to Cycling Network Design. Manufacturing & Service Operations Management 27(6):1851-1868.
https://doi.org/10.1287/msom.2024.1317
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The authors thank the department editor, associate editor, and two anonymous reviewers for their constructive feedback. The authors are also grateful for the insightful comments from (in alphabetical order) Merve Bodur, Erick Delage, Becky Katz, Elias Khalil, Sheng Liu, and Rafid Mahmood. Resources used in preparing this research were provided, in part, by the Province of Ontario, the Government of Canada through CIFAR, and companies sponsoring the Vector Institute.
