A multi-objective approach for robust airline scheduling

Authors:
Edmund K. Burke;Patrick De Causmaecker;Geert De Maere;Jeroen Mulder;Marc Paelinck;Greet Vanden Berghe
Affiliations:
School of Computer Science, Jubilee Campus, 1 Wollaton Road, NG8 1BB Nottingham, UK;Faculty of Sciences, Department of Informatics, Katholieke Universiteit Leuven Campus Kortrijk, Etienne Sabbelaan 53, 8500 Kortrijk, Belgium;School of Computer Science, Jubilee Campus, 1 Wollaton Road, NG8 1BB Nottingham, UK and Vakgroep Informatie Technologie, KaHo Sint Lieven, Gebroeders Desmetstraat 1, 9000 Ghent, Belgium;KLM Decision Support, Corporate Information Office, KLM Royal Dutch Airlines, KLM Headquaters, Amsterdamseweg 55, 1182 GP Amstelveen, The Netherlands;KLM Decision Support, Corporate Information Office, KLM Royal Dutch Airlines, KLM Headquaters, Amsterdamseweg 55, 1182 GP Amstelveen, The Netherlands;Vakgroep Informatie Technologie, KaHo Sint Lieven, Gebroeders Desmetstraat 1, 9000 Ghent, Belgium
Venue:
Computers and Operations Research
Year:
2010

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Abstract

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.