Abstract
This chapter addresses the state-of-the-art heuristic and meta-heuristic approaches for solving aircraft runway scheduling problem under variety of settings. Runway scheduling has been one of the emerging challenges in air traffic control as the congestion figures continue to rise. From a modeling point of view, mixed-integer programming formulations for single and multiple dependent and independent runways are presented. A set partitioning reformulation of the problem is demonstrated which suggests development of a column generation scheme. From a solution methodology viewpoint, generic heuristic algorithms, optimization-based approaches, and a dynamic programming scheme within the column generation algorithm are presented. Common meta-heuristic approaches that model variant problem settings under static and dynamic environments are discussed.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Atkin JA, Burke EK, Greenwood JS, Reeson D (2007) Hybrid metaheuristics to aid runway scheduling at London Heathrow airport. Transp Sci 41(1):90–106
Beasley JE, Krishnamoorthy M, Sharaiha YM, Abramson D (2000) Scheduling aircraft landings—the static case. Transp Sci 34(2):180–197
Beasley JE, Sonander J, Havelock P (2001) Scheduling aircraft landings at London Heathrow using a population heuristic. J Oper Res Soc 52:483–493
Bencheikh G, Boukachour J, Alaoui AEH, Khoukhi FE (2009) Hybrid method for aircraft landing scheduling based on a job shop formulation. Int J Comput Sci Netw Secur 9(8):78–88
Bencheikh G, Boukachour J, Alaoui AEH (2011) Improved ant colony algorithm to solve the aircraft landing problem. Int J Comput Theory Eng 3(2):224–233
Bennell JA, Mesgarpour M, Potts CN (2011) Airport runway scheduling. 4OR 9(2):115–138
Boysen N, Fliedner M (2011) Scheduling aircraft landings to balance workload of ground staff. Comput Ind Eng 60(2):206–217
Caprà S, Ignaccolo M (2004) Genetic algorithms for solving the aircraft-sequencing problem: the introduction of departures into the dynamic model. J Air Transp Manag 10(5):345–351
Ciesielski V, Scerri P (1998) Real time genetic scheduling of aircraft landing times. In: Proceedings of the 1998 IEEE international conference on evolutionary computation. IEEE World Congress on Computational Intelligence. IEEE, New York, pp 360–364
Fahle T, Feldmann R, Gtz S, Grothklags S, Monien B (2003) The aircraft sequencing problem. In: Computer science in perspective. Springer, Berlin/Heidelberg, pp 152–166
Farhadi F, Ghoniem A, Al-Salem M (2014) Runway capacity management – an empirical study with application to Doha International Airport. Transp Res E Logist Transp Rev 68:53–63
Ghoniem A, Farhadi F (2015) A column generation approach for aircraft sequencing problems: a computational study. J Oper Res Soc 66:1717–1729
Ghoniem A, Sherali HD, Baik H (2014) Enhanced models for a mixed arrival-departure aircraft sequencing problem. INFORMS J Comput 26(3):514–530
Ghoniem A, Farhadi F, Reihaneh M (2015) An accelerated branch-and-price algorithm for multiple-runway aircraft sequencing problems. Eur J Oper Res 246:34–43
Hancerliogullari G, Rabadi G, Al-Salem AH, Kharbeche M (2013) Greedy algorithms and metaheuristics for a multiple runway combined arrival-departure aircraft sequencing problem. J Air Transp Manag 32:39–48
Hu XB, Chen WH (2005) Genetic algorithm based on receding horizon control for arrival sequencing and scheduling. Eng Appl Artif Intell 18(5):633–642
Hu XB, Di Paolo E (2009) An efficient genetic algorithm with uniform crossover for air traffic control. Comput Oper Res 36(1):245–259
Liu YH (2011) A genetic local search algorithm with a threshold accepting mechanism for solving the runway dependent aircraft landing problem. Optim Lett 5(2):229–245
Pinol H, Beasley JE (2006) Scatter search and bionomic algorithms for the aircraft landing problem. Eur J Oper Res 171(2):439–462
Salehipour A, Modarres M, Naeni LM (2013) An efficient hybrid meta-heuristic for aircraft landing problem. Comput Oper Res 40(1):207–213
Sölveling G, Solak S, Clarke JPB, Johnson EL (2011) Scheduling of runway operations for reduced environmental impact. Transp Res Part D Transp Environ 16(2):110–120
Soomer MJ, Franx GJ (2008) Scheduling aircraft landings using airlines preferences. Eur J Oper Res 190(1):277–291
Zhan ZH, Zhang J, Li Y, Liu O, Kwok SK, Ip WH, Kaynak O (2010) An efficient ant colony system based on receding horizon control for the aircraft arrival sequencing and scheduling problem. IEEE Trans Intell Transp Syst 11(2):399–412
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer International Publishing Switzerland
About this chapter
Cite this chapter
Farhadi, F. (2016). Heuristics and Meta-heuristics for Runway Scheduling Problems. In: Rabadi, G. (eds) Heuristics, Metaheuristics and Approximate Methods in Planning and Scheduling. International Series in Operations Research & Management Science, vol 236. Springer, Cham. https://doi.org/10.1007/978-3-319-26024-2_8
Download citation
DOI: https://doi.org/10.1007/978-3-319-26024-2_8
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-26022-8
Online ISBN: 978-3-319-26024-2
eBook Packages: Business and ManagementBusiness and Management (R0)