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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Vydané v:	European journal of operational research Ročník 290; číslo 2; s. 405 - 421
Hlavní autori:	Bengio, Yoshua, Lodi, Andrea, Prouvost, Antoine
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 16.04.2021
Predmet:	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
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