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Crew Pairing Optimization with Genetic Algorithms

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Methods and Applications of Artificial Intelligence (SETN 2002)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2308))

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Abstract

We present an algorithm for the crew pairing problem, an optimization problem that is part of the airline crew scheduling procedure. A pairing is a round trip starting and ending at the home base, which is susceptible to constraints that arise due to laws and regulations. The purpose of the crew pairing problem is to generate a set of pairings with minimal cost, covering all flight legs that the company has to carry out during a predefined time period. The proposed solution is a two-phase procedure. For the first phase, the pairing generation, a depth first search approach is employed. The second phase deals with the selection of a subset of the generated pairings with near optimal cost. This problem, which is modelled by a set covering formulation, is solved with a genetic algorithm. The presented method was tested on actual flight data of Olympic Airways.

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Author information

Authors and Affiliations

  1. Department of Informatics and Telecommunications, University of Athens, 157 84, Panepistimiopolis, Athens, Greece

    Harry Kornilakis & Panagiotis Stamatopoulos

Authors
  1. Harry Kornilakis
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  2. Panagiotis Stamatopoulos
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Editor information

Editors and Affiliations

  1. Dept. of Informatics, Aristotle University of Thessaloniki, 54006, Thessaloniki, Greece

    Ioannis P. Vlahavas

  2. N.C.S.R. “Demokritos”, Inst. of Informatics & Telecommunications Software and Knowledge Engineering Lab, 15310, Aghia Paraskevi, Greece

    Constantine D. Spyropoulos

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© 2002 Springer-Verlag Berlin Heidelberg

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Kornilakis, H., Stamatopoulos, P. (2002). Crew Pairing Optimization with Genetic Algorithms. In: Vlahavas, I.P., Spyropoulos, C.D. (eds) Methods and Applications of Artificial Intelligence. SETN 2002. Lecture Notes in Computer Science(), vol 2308. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-46014-4_11

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  • DOI: https://doi.org/10.1007/3-540-46014-4_11

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-43472-6

  • Online ISBN: 978-3-540-46014-5

  • eBook Packages: Springer Book Archive

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