Abstract Particle Swarm Optimization has attracted many researcher to do further improvement on many real world problems. The quantum-behaved PSO is tested as an effective improved PSO for getting preferable results on many problems. In this paper, we introduce a chaotic operator into QPSO for further enhancing its global and local searching abilities. The experiments results show that, compared with the other PSOs, our algorithm gets more efficient results. It could be applied in more complex real world problems in our future work.


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    Titel :

    A New Quantum-Behaved Particle Swarm Optimization with a Chaotic Operator


    Beteiligte:
    Wu, Zhenghua (Autor:in) / Wu, Dongmei (Autor:in) / Hu, Haidong (Autor:in) / Wang, Chuangye (Autor:in) / Gao, Hao (Autor:in)


    Erscheinungsdatum :

    2017-01-01


    Format / Umfang :

    7 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch