• DocumentCode
    589842
  • Title

    Improved Hierarchical Structure Poly-particle particle Swarm Optimization

  • Author

    Chong Kok Hen ; Paw, Johnny Koh Siaw ; Yong Sue Ann ; Koo Wai Yan

  • Author_Institution
    Dept. of Electron. & Commun. Eng., Univ. Tenaga Nasional, Kajang, Malaysia
  • fYear
    2012
  • fDate
    6-9 Oct. 2012
  • Firstpage
    203
  • Lastpage
    206
  • Abstract
    In this paper, the Improved Hierarchical Structure Poly-particle Swarm Optimization (IHSPPSO) algorithm is proposed based on the Hierarchical Structure Poly-particle Swarm Optimization (HSPPSO) algorithm with the addition of three new operators, namely the Particle Repair Operator, Dynamic Acceleration Control Operator and Cauchy mutation operator to achieve better performance in terms of accuracy and rate of convergence. The performance of the IHSPPSO algorithm was tested and evaluated using four benchmark test functions. The test results of the IHSPPSO algorithm were compared with the ones of HSPPSO and significant improvements were shown. The addition of three new operators has significantly improved the performance of the IHSPPSO algorithm.
  • Keywords
    convergence; mathematical operators; particle swarm optimisation; Cauchy mutation operator; IHSPPSO algorithm; convergence rate; dynamic acceleration control operator; improved hierarchical structure polyparticle particle swarm optimization; particle repair operator; Fast Convergence; Hierarchical Structure Particle Swarm Optimization; Particle Swarm Optimization (PSO);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Sustainable Utilization and Development in Engineering and Technology (STUDENT), 2012 IEEE Conference on
  • Conference_Location
    Kuala Lumpur
  • ISSN
    1985-5753
  • Print_ISBN
    978-1-4673-1649-1
  • Electronic_ISBN
    1985-5753
  • Type

    conf

  • DOI
    10.1109/STUDENT.2012.6408404
  • Filename
    6408404