Machine learning for combinatorial optimization: A methodological tour d’horizon

•This paper surveys the recent attempts, both from the machine learning and operations research communities, at leveraging machine learning to solve combinatorial optimization problems.•Given the hard nature of these problems, state-of-the-art algorithms rely on handcrafted heuristics for making dec...

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Veröffentlicht in:	European journal of operational research Jg. 290; H. 2; S. 405 - 421
Hauptverfasser:	Bengio, Yoshua, Lodi, Andrea, Prouvost, Antoine
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 16.04.2021
Schlagworte:	Branch and bound Combinatorial optimization Machine learning Mixed-integer programming solvers Mixed-integer programming solvers Branch and bound Combinatorial optimization Machine learning
ISSN:	0377-2217, 1872-6860
Online-Zugang:	Volltext
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