A multi-objective approach for robust airline scheduling

• Published in: Computers & operations research Vol. 37; no. 5; pp. 822 - 832
• Main Authors: Burke, Edmund K., De Causmaecker, Patrick, De Maere, Geert, Mulder, Jeroen, Paelinck, Marc, Vanden Berghe, Greet
• Format: Journal Article
• Language: English
• Published: New York Elsevier Ltd 01.05.2010; Pergamon Press Inc
• Subjects: Airline scheduling; Algorithms; Archiving; Commercial aircraft; Commercial planes; Computer simulation; Flexibility; Large scale simulation; Mathematical models; Multi-meme memetic algorithms; Multi-objective improvement; Optimization algorithms; Pareto optimum; Reliability; Robust airline scheduling; Robustness; Schedules; Simulation; Studies; Netherlands; Multi-objective improvement; Robust airline scheduling; Large scale simulation; Multi-meme memetic algorithms
• ISSN: 0305-0548; 1873-765X; 0305-0548
• DOI: 10.1016/j.cor.2009.03.026

We present a memetic approach for multi-objective improvement of robustness influencing features (called robustness objectives) in airline schedules. Improvement of the objectives is obtained by simultaneous flight retiming and aircraft rerouting, subject to a fixed fleet assignment. Approximations of the Pareto optimal front are obtained by applying a multi-meme memetic algorithm. We investigate biased meme selection to encourage exploration of the boundaries of the search space and compare it with random meme selection. An external population of high quality solutions is maintained using the adaptive grid archiving algorithm. The presented approach is applied to investigate simultaneous improvement of reliability and flexibility in real world schedules from KLM Royal Dutch Airlines. Experimental results show that the approach enables us to obtain schedules with significant improvements for the considered objectives. A large scale simulation study was undertaken to quantify the influence of the robustness objectives on the operational performance of the schedules. Rigorous sensitivity analysis of the results shows that the influence of the schedule reliability is dominant and that increased schedule flexibility could improve the operational performance.