Day-ahead aircraft routing with data-driven primary delay predictions
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Publication:6113341
DOI10.1016/j.ejor.2023.02.035OpenAlexW4322765794MaRDI QIDQ6113341
Alexandre Jacquillat, Sebastian Birolini
Publication date: 11 July 2023
Published in: European Journal of Operational Research (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.ejor.2023.02.035
Cites Work
- Greedy function approximation: A gradient boosting machine.
- An integrated scenario-based approach for robust aircraft routing, crew pairing and re-timing
- Bootstrap methods: another look at the jackknife
- Robust optimization: lessons learned from aircraft routing
- Sparse regression: scalable algorithms and empirical performance
- A matheuristic for the robust integrated airline fleet assignment, aircraft routing, and crew pairing problem
- Branch-and-Price: Column Generation for Solving Huge Integer Programs
- The Sample Average Approximation Method for Stochastic Discrete Optimization
- An Integrated Scheduling and Operations Approach to Airport Congestion Mitigation
- An Integer Optimization Approach to Large-Scale Air Traffic Flow Management
- Algorithms for Scheduling Runway Operations Under Constrained Position Shifting
- Estimating Flight Departure Delay Distributions—A Statistical Approach With Long-Term Trend and Short-Term Pattern
- Random forests
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