• DocumentCode
    3707109
  • Title

    Analysis of Parallel Sub-swarm PSO with the Same Total Particle Numbers

  • Author

    Tzung-Pei Hong;Jui-Chi Chen;Wen-Yang Lin;Chun-Hao Chen

  • Author_Institution
    Dept. of Comput. Sci. &
  • fYear
    2015
  • Firstpage
    616
  • Lastpage
    619
  • Abstract
    In this paper, we re-visit the parallel PSO schemes and adopt a different perspective to parallelize PSO. In the adopted scheme, the original particle swarm is divided into several sub-swarms under the condition that the total particle numbers are the same, thus keeping nearly the same computational tasks. Each slave processor then individually runs a part of the sub-swarms. Experiments are also conducted to show the property and the performance of the scheme.
  • Keywords
    "Particle swarm optimization","Algorithm design and analysis","Computer science","Clustering algorithms","Approximation algorithms","Parallel algorithms"
  • Publisher
    ieee
  • Conference_Titel
    Network-Based Information Systems (NBiS), 2015 18th International Conference on
  • Type

    conf

  • DOI
    10.1109/NBiS.2015.92
  • Filename
    7350689