Age and life-span was imported to genetic algorithm for overcoming the low efficiency, when the algorithm is used to Vehicle Routing Problem. Multi-generation Compete Genetic Algorithm is put forward. At each iteration some individuals are updated by descendible mode. Each individual, according to its age and life-span, is judged whether it is kept down to next generation population, or its life was terminated. By this means, survived generations of some better individuals were prolonged in the generation population and the probability of their propagation increased. Some better solutions are presented through using the algorithms.


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    Titel :

    Multi-Generation Compete Genetic Algorithms and Its Application in Vehicle Routing Problem


    Beteiligte:
    Deng, Lianbo (Autor:in) / Shi, Feng (Autor:in) / Liang, Ting (Autor:in)

    Kongress:

    First International Conference on Transportation Engineering ; 2007 ; Southwest Jiaotong University, Chengdu, China



    Erscheinungsdatum :

    2007-07-09




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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