Machine learning in airline crew pairing to construct initial clusters for dynamic constraint aggregation

Author:

Yaakoubi Yassine,Soumis François,Lacoste-Julien Simon

Funder

Natural Sciences and Engineering Research Council of Canada

Publisher

Elsevier BV

Subject

Management Science and Operations Research,Transportation,Modeling and Simulation

Reference42 articles.

1. Tensorflow: Large-Scale Machine Learning on Heterogeneous Systems;Abadi,2015

2. A global approach to crew-pairing optimization;Anbil;IBM Syst. J.,1992

3. A hybrid meta-heuristic algorithm for optimization of crew scheduling;Azadeh;Appl. Soft Comput.,2013

4. Branch-and-price: column generation for solving huge integer programs;Barnhart;Oper. Res.,1998

5. Y. Bengio, A. Lodi, A. Prouvost, Machine Learning for Combinatorial Optimization: a Methodological Tour D’horizon, arXiv preprint arXiv:1811.06128.

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