Abstract
This paper investigates the computational tractability of aircraft sequencing problems over multiple runways under mixed mode operations, contrasting an enhanced mixed-integer programme (MIP) and an accelerated column generation approach. First, we examine the benefit of augmenting a base MIP with valid inequalities, preprocessing routines, and symmetry-defeating hierarchical constraints in order to improve the performance of branch-and-bound (B&B)/cut techniques as implemented in commercial solvers. Second, we alternatively reformulate the problem as a set partitioning model that prompts the development of a specialized column generation approach. The latter is accelerated by incorporating an interior point dual stabilization scheme and a complementary column generation routine. Empirical results using a set of new, computationally challenging instances and classical instances in the OR Library reveal the potential and limitations of the two methodologies.
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Acknowledgements
This research has been supported by Qatar National Research Fund under Grant Number NPRP 09-253-2-103. We also would like to thank five anonymous reviewers for their helpful comments.
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Ghoniem, A., Farhadi, F. A column generation approach for aircraft sequencing problems: a computational study. J Oper Res Soc 66, 1717–1729 (2015). https://doi.org/10.1057/jors.2014.131
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DOI: https://doi.org/10.1057/jors.2014.131