With the deepening of economic globalization, import and export companies often need to transport goods sold through cargo aircraft. In this paper, the maximum volume utilization of cargo aircraft is considered, which has a very positive practical significance to improve transportation efficiency, reduce transportation costs, enhance corporate profitability and reduce pollutant emissions. Under the given data, one aircraft of each type, large, medium and small, is required to be loaded with cargo directly so as to leave no empty space. Considering the constraints of cargo hold volume, maximum load, smoothness and cargo placement position and orientation, an optimization model of cargo hold volume utilization is constructed, combined with a three-space partitioning heuristic algorithm to perform spatial partitioning and spatial merging to generate the initial loading scheme, and a hybrid genetic simulated annealing algorithm is used to control the start and end of the hybrid algorithm with the initial and end temperatures of the simulated annealing algorithm to find the optimal loading scheme The optimal shipping solution for the three aircraft is obtained.


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    Titel :

    Research on cargo shipment strategy based on hybrid genetic simulated annealing algorithm


    Beteiligte:
    Zheng, Ce (Autor:in) / Dong, Ruiqian (Autor:in)


    Erscheinungsdatum :

    27.10.2023


    Format / Umfang :

    4882868 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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