Many scholars are gradually deepening the research on the algorithm of solving transportation problems. The traditional algorithm for solving the transportation problem is the work-on-the-table method. However, the work-on-the-table method is complicated in operation and requires a large amount of calculation, so it is difficult to solve it by computer programming liner multi-objective transportation problem is a special problem in linear programming. It can solve the reasonable transportation of materials and vehicles. For some practical problems in life, after making appropriate changes, it can also be regarded as a transportation problem. Using the theory and method of graph theory and multi-objective optimization in operations research, a selection model of the optimal transportation route for emergency relief materials vehicles is established. In this paper, Genetic algorithm (GA) is used to solve transportation problems. By selecting the appropriate coding scheme and genetic operator to find the optimal solution of the transportation problem. An example is given to illustrate the transportation problem of production and marketing balance based on GA and its solution process.


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    Titel :

    Multi-objective Optimization Simulation of Liner Transportation Based on Genetic Algorithm


    Beteiligte:
    Du, Fengshuai (Autor:in) / Wang, Chunjuan (Autor:in) / Xiao, Suya (Autor:in) / Dai, Youyu (Autor:in) / Shi, Xing (Autor:in)


    Erscheinungsdatum :

    01.05.2023


    Format / Umfang :

    1199081 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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