Airline scheduling, the backbone of airline expansion and survival, faces a monumental challenge: finding the opti-mal flight schedule among countless possibilities under numerous constraints. This nondeterministic polynomial time (NP problem) demands innovative solutions. This paper proposes a genetic algorithm approach to build feasible daily schedules and assign optimal aircraft for hub-and-spoke airlines. The model delivers near-optimal solutions suitable for practical implementation, demonstrating the effectiveness of the genetic approach.


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    Titel :

    Airline Scheduling Model Using Genetic Algorithm


    Beteiligte:


    Erscheinungsdatum :

    19.05.2024


    Format / Umfang :

    795547 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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