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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    Title :

    Airline Scheduling Model Using Genetic Algorithm


    Contributors:


    Publication date :

    2024-05-19


    Size :

    795547 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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