Branching rules revisited, Operations Research Letters, vol.33, issue.1, pp.42-54, 2005. ,
A machine learning-based approximation of strong branching, INFORMS Journal on Computing, vol.29, issue.1, pp.185-195, 2017. ,
, Concorde tsp solver, 2006.
The traveling salesman problem: a computational study, 2011. ,
Theory of randomized search heuristics: Foundations and recent developments, vol.1, 2011. ,
Random sampling and machine learning to understand good decompositions, 2017. ,
Integration of Constraint Programming, Artificial Intelligence, and Operations Research, pp.595-604, 2018. ,
A computationally efficient mixed-integer linear formulation for the thermal unit commitment problem, IEEE Transactions on power systems, vol.21, issue.3, pp.1371-1378, 2006. ,
Supervised learning of intra-daily recourse strategies for generation management under uncertainties, PowerTech, pp.1-8, 2009. ,
Learning combinatorial optimization algorithms over graphs, 2017. ,
Solution of a large-scale traveling-salesman problem, Journal of the operations research society of America, vol.2, issue.4, pp.393-410, 1954. ,
Bayes optimal multilabel classification via probabilistic classifier chains, Proceedings of the 27th International Conference on Machine Learning (ICML-10), pp.279-286, 2010. ,
Machine learning meets mathematical optimization to predict the optimal production of offshore wind parks. Computers and Operations Research, 2018. ,
Cbc (coin-or branch and cut) opensource mixed integer programming solver, 2012. ,
Handbook of metaheuristics, vol.2, 2010. ,
Learning to search in branch and bound algorithms, Advances in Neural Information Processing Systems, pp.3293-3301, 2014. ,
Learning to branch in mixed integer programming, Proceedings of the 30th AAAI Conference on Artificial Intelligence, 2016. ,
Learning when to use a decomposition, International Conference on AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems, pp.202-210, 2017. ,
Predicting solution summaries to integer linear programs under imperfect information with machine learning, 2018. ,
A sensitivity analysis method aimed at enhancing the metaheuristics for continuous optimization, Artificial Intelligence Review, pp.1-23, 2017. ,
Naive bayes classification for subset selection, 2017. ,
Unit commitment-a bibliographical survey, IEEE Transactions on power systems, vol.19, issue.2, pp.1196-1205, 2004. ,
Combining mixed integer programming and supervised learning for fast re-planning, 2010 22nd IEEE International Conference on Tools with Artificial Intelligence, vol.2, pp.63-70, 2010. ,
Classifier chains for multi-label classification. Machine learning, vol.85, pp.333-359, 2011. ,
Global sensitivity analysis: the primer, 2008. ,
Theory of linear and integer programming, 1998. ,
Random klabelsets: an ensemble method for multilabel classification, European Conference on Machine Learning, pp.406-417, 2007. ,
Reformulation and Decomposition of Integer Programs, p.431, 2010. ,
URL : https://hal.archives-ouvertes.fr/inria-00392254
Model building in mathematical programming, 2013. ,
A review on multi-label learning algorithms, IEEE Transactions on Knowledge and Data Engineering, vol.26, issue.8, pp.1819-1837, 2014. ,
Values suggestion in mixed integer programming by machine learning algorithm, Electronic Notes in discrete Mathematics, vol.1, pp.74-83, 1999. ,