In order to improve the loading optimization efficiency of the pipe fitting pallet assembly in the ship pipe processing workshop, the loading problem of the pipe processing workshop was studied for the low efficiency of pipe pallet transportation in the traditional workshop, and a mathematical model of loading with the goal of maximizing space utilization was established. According to the characteristics of pipe fittings and fusion of heuristic search methods, an improved genetic algorithm is proposed to solve the optimization problem of ship pipe fittings, and the effectiveness and practicability of the algorithm are verified through experiments.


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    Titel :

    Research on shipboard material scheduling optimization based on improved genetic algorithm


    Beteiligte:
    Li, Jinghua (Autor:in) / Huang, Wenhao (Autor:in) / Yang, Boxin (Autor:in) / Zhou, Qinghua (Autor:in)

    Kongress:

    International Conference on Mechanical Design and Simulation (MDS 2022) ; 2022 ; Wuhan,China


    Erschienen in:

    Proc. SPIE ; 12261


    Erscheinungsdatum :

    20.09.2022





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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