• DocumentCode
    234962
  • Title

    A Modified PSO Algorithm Based on Cache Replacement Algorithm

  • Author

    Mingyue Feng ; Hua Pan

  • Author_Institution
    Xidian Univ., Xi´an, China
  • fYear
    2014
  • fDate
    15-16 Nov. 2014
  • Firstpage
    558
  • Lastpage
    562
  • Abstract
    Recently, the research of the PSO algorithm has gained more attention. The performance of the PSO algorithm can be improved by using hybrid techniques. In this paper, to solve the problem of slow convergence and optimize the PSO algorithm performance, we propose a new algorithm - Cache Replacement Search PSO (CRS-PSO), which integrates basic PSO and the idea of cache design in the computer realm. The experimental results show that the proposed CRS-PSO can effectively solve the slow convergence problem and give a better performance than PSO alone.
  • Keywords
    cache storage; evolutionary computation; particle swarm optimisation; search problems; CRS-PSO hybrid evolutionary algorithm; cache replacement search PSO algorithm; modified PSO algorithm; slow convergence problem; Algorithm design and analysis; Computers; Convergence; Memory management; Particle swarm optimization; Vectors; cache replacement algorithm; hybrid algorithm; particle swarm optimization; slow convergence;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Security (CIS), 2014 Tenth International Conference on
  • Conference_Location
    Kunming
  • Print_ISBN
    978-1-4799-7433-7
  • Type

    conf

  • DOI
    10.1109/CIS.2014.177
  • Filename
    7016958