1. Applegate, D.L., Bixby, R.E., Chvátal, V., Cook, W.J.: Implementing the Dantzig-Fulkerson-Johnson algorithm for large traveling salesman problems. Math. Program. 97(1), 91–153 (2003)
2. Bello, I., Pham, H., Le, Q.V., Norouzi, M., Bengio, S.: Neural combinatorial optimization with reinforcement learning. In: 5th International Conference on Learning Representations, ICLR 2017, Toulon, France, April 24-26, 2017, Workshop Track Proceedings. https://openreview.net (2017)
3. Bengio, Y., Lodi, A., Prouvost, A.: Machine learning for combinatorial optimization: a methodological tour d’horizon. Eur. J. Oper. Res. 290(2), 405–421 (2021)
4. Bertsimas, D., Stellato, B.: Online mixed-integer optimization in milliseconds. arXiv preprint arXiv:1907.02206 (2019)
5. Bonami, P., Lodi, A., Zarpellon, G.: Learning a classification of mixed-integer quadratic programming problems. In: van Hoeve, W.-J. (ed.) Integration of Constraint Programming, Artificial Intelligence, and Operations Research, pp. 595–604. Springer International Publishing, Cham (2018)