Airline fleet assignment involves the allocation of aircraft to a set of flights legs in order to meet passenger demand, while satisfying a variety of constraints. Over the course of the day, the routing of each aircraft is determined in order to minimize the number of required flights for a given fleet. The associated flow continuity and aircraft count constraints have led researchers to focus on obtaining quasi-optimal solutions, especially at larger scales. In this paper, the authors propose the application of an agent-based integer optimization algorithm to a "cold start" fleet assignment problem. Results show that the optimizer can successfully solve such highly- constrained problems (129 variables, 184 constraints).


    Access

    Access via TIB

    Check availability in my library


    Export, share and cite



    Title :

    Fleet Assignment Using Collective Intelligence


    Contributors:

    Publication date :

    2004-01-01


    Type of media :

    Miscellaneous


    Type of material :

    No indication


    Language :

    English




    Fleet Assignment Using Collective Intelligence

    Antoine, N. E. / Bieniawski, S.R. / Kroo, I. M. et al. | British Library Conference Proceedings | 2004


    Fleet Assignment Using Collective Intelligence

    Antoine, Nicolas E. / Bieniawski, Stefan R. / Kroo, Ilan M. et al. | NTRS | 2004


    Fleet Assignment Using Collective Intelligence

    Antoine, Nicolas / Bieniawski, Stefan / Kroo, Ilan et al. | AIAA | 2004


    Fleet Assignment Using Collective Intelligence

    N. E. Antoine / S. R. Bieniawski / I. M. Kroo et al. | NTIS | 2004


    FLEET ASSIGNMENT MODELLING

    L. V. Pavlova | DOAJ | 2016

    Free access