Dynamic Constraint Aggregation for Solving Very Large-scale Airline Crew Pairing Problems
By Guy Desaulniers, François Lessard, Mohammed Saddoune, François Soumis. 2020
12 citations recorded by the source corpus.
Subfields: Industrial and Manufacturing Engineering, Management Science and Operations Research, Mathematical Optimization
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In Industrial and Manufacturing Engineering
In Management Science and Operations Research
In Mathematical Optimization
Citations in the corpus
- Structured Convolutional Kernel Networks for Airline Crew Scheduling (2021, methodology): “In what follows, we provide the constructed monthly pairings to the solver and compare the resulting solutions when using the baseline solution (Desaulniers et al., 2020), CNN (Yaakoubi et al., 2020) and the proposed approach (Struct-CKN).”
- Machine Learning in Airline Crew Pairing to Construct Initial Clusters for Dynamic Constraint Aggregation (2020, methodology): “As a first contribution, we propose Commercial-GENCOL-DCA, a new implementation of Baseline [1], including new control strategies for the column generation, the constraint aggregation, and the branch-&-bound.”