The important condition of fully utilizing the PSO algorithm is to keep the harmony between searching in detail and exploring a new area. In this paper, based on the fuzzy set theory and the relation between individual and colony, a fuzzy control variety method and a PSO algorithm are introduced to cover the shortage of control variety methods. The simulation for the test function shows: compared with the contrast method, the FUZZY/spl I.bar/PSO algorithm has the better convergence accuracy and faster evolution velocity.


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    Titel :

    A new kind of fuzzy particle swarm optimization FUZZY/spl I.bar/PSO algorithm


    Beteiligte:
    Bo Wang, (Autor:in) / GuoQiang Liang, (Autor:in) / ChanLin Wang, (Autor:in) / YunLong Dong, (Autor:in)


    Erscheinungsdatum :

    01.01.2006


    Format / Umfang :

    1890367 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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