Abstract In order to improve the convergence speed and precision of particle swarm optimization (PSO) and quantum PSO (QPSO), inspired by the idea of quantum physics, a new improved QPSO algorithm named double QPSO (DQPSO) is presented. The particle’s encoding mechanism and the evolutionary search strategy are quantized in DQPSO algorithm, in which the evolution equation of the velocity vector is abandoned, thus the evolution equation is easier, and less parameter are used that makes the algorithm easier to control. Several benchmark multi-modal functions are used to test the proposed DQPSO algorithm, which verified that the new algorithm is superior to standard PSO and QPSO in search capabilities. Then, DQPSO is successfully used to the identification of a thermal system with pure time-delay and non-minimum phase. Finally, the algorithm is applied to the transfer function identification of thermal system based on field operation data.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Thermal System Identification Based on Double Quantum Particle Swarm Optimization


    Contributors:
    Han, Pu (author) / Yuan, Shitong (author) / Wang, Dongfeng (author)


    Publication date :

    2014-01-01


    Size :

    13 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




    Thermal System Identification Based on Double Quantum Particle Swarm Optimization

    Han, P. / Yuan, S. / Wang, D. | British Library Conference Proceedings | 2014


    Double Flight-Modes Particle Swarm Optimization

    Wang, Yong / Li, Jing-Yang / Li, Chun-Lei et al. | Tema Archive | 2013


    Emergent system identification using particle swarm optimization [4512-22]

    Voss, M. S. / Feng, X. / International Society for Optical Engineering | British Library Conference Proceedings | 2001


    Particle Swarm Optimization

    Gerhard Venter / Jaroslaw Sobieszczanski-Sobieski | AIAA | 2003


    Particle Swarm Optimization

    Venter, G. / Sobieszczanski-Sobieski, J. / American Institute of Aeronautics and Astronautics | British Library Conference Proceedings | 2002