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Metaheuristics approach to the aircrew rostering problem

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Abstract

The solution of the aircrew-scheduling problem is represented by a set of rotations developed from a given set of flight segments. Once the set of rotations to be made by aircrew members has been determined, the air carrier must solve the aircrew rostering problem that entails the monthly assignment of aircrew members to planned rotations. This paper attempts to solve the aircrew rostering problem, thus constructing personalized monthly schedules using Simulated Annealing, Genetic Algorithms, and Tabu Search techniques. The developed models are tested on numerical examples that consist of constructing schedules for pilots. Dimensions of the considered examples are characteristic of small and medium-sized airlines.

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Authors and Affiliations

  1. CSSI, Inc., 400 Virginia Avenue SW, Suite 710, Washington, DC, 20024, USA

    Panta Lučić

  2. Department of Civil and Environmental Engineering, Virginia Polytechnic Institute and State University, Blacksburg, USA

    Dušan Teodorović

  3. Faculty of Transport and Traffic Engineering, University of Belgrade, Belgrade, Serbia

    Dušan Teodorović

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  1. Panta Lučić
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  2. Dušan Teodorović
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Correspondence to Dušan Teodorović.

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Lučić, P., Teodorović, D. Metaheuristics approach to the aircrew rostering problem. Ann Oper Res 155, 311–338 (2007). https://doi.org/10.1007/s10479-007-0216-y

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  • DOI: https://doi.org/10.1007/s10479-007-0216-y

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