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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    Title :

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


    Contributors:
    Bo Wang, (author) / GuoQiang Liang, (author) / ChanLin Wang, (author) / YunLong Dong, (author)


    Publication date :

    2006-01-01


    Size :

    1890367 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English




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