Robustness Algorithms for the Airport Gate Assignment Problem

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Amadeo Asco Signes
Amadeo Asco Signes
1 University of Nottingham

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Assigning commercial flights to available airport gates can have a major impact on the efficiency of flight schedules as well as on the level of passenger satisfaction with the service. These assignments also depend on the service requirements of flights and the capacity of stand facilities. Unexpected changes also called perturbations, like those due to air traffic delays, severe weather conditions, or equipment failures, may disrupt the initial assignments and The provision of solutions which reduce the potential detrimental effect of perturbations in the stands already assigned on the day of operation is desirable and some approaches are presented here, and compare between them to help identify their performance and trends.

20 Cites in Articles

References

  1. Amadeo Ascó,Jason Atkin,Edmund Burke (2013). An analysis of constructive algorithms for the airport baggage sorting station assignment problem.
  2. Amadeo Ascó (2016). An Analysis of Robustness Approaches for the Airport Baggage Sorting Station Assignment Problem.
  3. Amadeo Ascó (2018). An Evolutionary Algorithm and operators for the Airport Baggage Sorting Station Problem.
  4. A Ascó (2019). Steady state evolutionary algorithm and operators for the airport gate assignment problem.
  5. Amadeo Ascó,Jason Atkin,Edmund Burke (2013). An analysis of constructive algorithms for the airport baggage sorting station assignment problem.
  6. A Bolat (1999). Assigning arriving flights at an airport to the available gates.
  7. U Dorndorf (2002). Project Scheduling with Time Windows: From Theory to Applications.
  8. Ulrich Dorndorf,Erwin Pesch,Toàn Phan-Huy (2000). Constraint propagation techniques for the disjunctive scheduling problem.
  9. Hammadi Ghazouani,Moez Hammami,Ouajdi Korbaa (2015). Solving airport gate assignment problem using Genetic Algorithms approach.
  10. X Hu,E Di Paolo (2007). An efficient Genetic Algorithm with uniform crossover for the multi-objective Airport Gate Assignment Problem.
  11. Florian Jaehn (2010). Solving the flight gate assignment problem using dynamic programming.
  12. S Kim,E Feron (2013). Impact of gate assignment on gate-holding departure control strategies.
  13. C Li (2009). Airport gate assignment -a hybrid model and implementation.
  14. A Lim,Fan Wang (2005). Robust airport gate assignment.
  15. A Lim,B Rodrigues,Y Zhu (2005). Airport Gate Scheduling with Time Windows.
  16. R Mangoubi,Dennis Mathaisel (1985). Optimizing Gate Assignments at Airport Terminals.
  17. Andrzej Ruszczyński,Alexander Shapiro (2003). Stochastic Programming Models.
  18. Oscar Van Schaijk,Hendrikus Visser (2017). Robust flight-to-gate assignment using flight presence probabilities.
  19. Merve Şeker,Nilay Noyan (2012). Stochastic optimization models for the airport gate assignment problem.
  20. Shangyao Yan,Ching-Hui Tang (2007). A heuristic approach for airport gate assignments for stochastic flight delays.

Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

Amadeo Asco Signes. 2020. \u201cRobustness Algorithms for the Airport Gate Assignment Problem\u201d. Global Journal of Computer Science and Technology - C: Software & Data Engineering GJCST-C Volume 20 (GJCST Volume 20 Issue C1): .

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Issue Cover
GJCST Volume 20 Issue C1
Pg. 37- 52
Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

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GJCST-C Classification: F.2.2
Version of record

v1.2

Issue date

July 16, 2020

Language

English

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Assigning commercial flights to available airport gates can have a major impact on the efficiency of flight schedules as well as on the level of passenger satisfaction with the service. These assignments also depend on the service requirements of flights and the capacity of stand facilities. Unexpected changes also called perturbations, like those due to air traffic delays, severe weather conditions, or equipment failures, may disrupt the initial assignments and The provision of solutions which reduce the potential detrimental effect of perturbations in the stands already assigned on the day of operation is desirable and some approaches are presented here, and compare between them to help identify their performance and trends.

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Robustness Algorithms for the Airport Gate Assignment Problem

Amadeo Asco Signes
Amadeo Asco Signes University of Nottingham

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