Reinforcement Learning for Variable Selection in a Branch and Bound Algorithm-Reference-Cited by-同舟云学术

Reinforcement Learning for Variable Selection in a Branch and Bound Algorithm

Published:2020 Issue: Volume: Page:176-185
ISSN:0302-9743
Container-title:Integration of Constraint Programming, Artificial Intelligence, and Operations Research
language:
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Author:

Etheve Marc^ORCID,Alès Zacharie^ORCID,Bissuel Côme^ORCID,Juan Olivier^ORCID,Kedad-Sidhoum Safia^ORCID

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-58942-4_12

Reference18 articles.

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3. Barnhart, C., Johnson, E.L., Nemhauser, G.L., Savelsbergh, M.W., Vance, P.H.: Branch-and-price: column generation for solving huge integer programs. Oper. Res. 46(3), 316–329 (1998)

4. Mitchell, J.E.: Branch-and-cut algorithms for combinatorial optimization problems. In: Handbook of Applied Optimization, vol. 1, pp. 65–77 (2002)

5. Rachelson, E., Abbes, A.B., Diemer, S.: Combining mixed integer programming and supervised learning for fast re-planning. In: 2010 22nd IEEE International Conference on Tools with Artificial Intelligence, vol. 2, pp. 63–70. IEEE (2010)

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