Machine learning for combinatorial optimization: A methodological tour d’horizon-Reference-Cited by-同舟云学术

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

Published:2021-04 Issue:2 Volume:290 Page:405-421
ISSN:0377-2217
Container-title:European Journal of Operational Research
language:en
Short-container-title:European Journal of Operational Research

Author:

Bengio Yoshua,Lodi Andrea,Prouvost Antoine

Publisher

Elsevier BV

Subject

Information Systems and Management,Management Science and Operations Research,Modeling and Simulation,General Computer Science,Industrial and Manufacturing Engineering

Reference71 articles.

1. Inverse optimization;Ahuja;Operations Research,2001

2. Learning to learn by gradient descent by gradient descent;Andrychowicz,2016

3. Hyper-Reactive Tabu Search for MaxSAT;Ansótegui,2019

4. Reactive Dialectic Search Portfolios for MaxSAT;Ansótegui,2017

5. The Traveling Salesman Problem: A Computational Study;Applegate,2007

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