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.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    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 :

    2006-01-01


    Format / Umfang :

    1890367 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    An Adaptive Fuzzy Chicken Swarm Optimization Algorithm

    Wang, Zhenwu / Qin, Chao / Wan, Benting et al. | BASE | 2021

    Freier Zugriff

    Robust Color Classification Using Fuzzy Rule-Based Particle Swarm Optimization

    Kashanipour, Alireza / Milani, Narges Shamshiri / Kashanipour, Amir Reza et al. | IEEE | 2008



    Fuzzy particle swarm algorithm-based control method for EVs wireless charging

    GAO XUDONG / CAO WENJIE / YANG QIANG | Europäisches Patentamt | 2023

    Freier Zugriff

    Fuzzy-Based Gas Turbine Engine Fuel Controller Design Using Particle Swarm Optimization

    Montazeri-Gh, M. / Mohammadi, E. / Jafari, S. | British Library Conference Proceedings | 2012