• DocumentCode
    2998233
  • Title

    Memetic-CLA-PSO: A Hybrid Model for Optimization

  • Author

    Akhtari, Mojdeh ; Meybodi, Mohammad Reza

  • Author_Institution
    IT & Comput. Sci. Dept., Azad Islamic Univ. of Qazvin, Qazvin, Iran
  • fYear
    2011
  • fDate
    March 30 2011-April 1 2011
  • Firstpage
    20
  • Lastpage
    25
  • Abstract
    In this paper a hybrid model which is a combination of Memetic algorithm, cellular learning automata (CLA) and PSO is proposed. The proposed algorithm in addition to maintaining diversity; largely reduces the probability of getting trap in local optima. Experimental results on eight optimization problems show the superiority of the proposed algorithm.
  • Keywords
    cellular automata; learning automata; particle swarm optimisation; PSO; cellular learning automata; memetic algorithm; optimization problem; Computational modeling; Convergence; Learning automata; Memetics; Optimization; Particle swarm optimization; Search problems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Modelling and Simulation (UKSim), 2011 UkSim 13th International Conference on
  • Conference_Location
    Cambridge
  • Print_ISBN
    978-1-61284-705-4
  • Electronic_ISBN
    978-0-7695-4376-5
  • Type

    conf

  • DOI
    10.1109/UKSIM.2011.14
  • Filename
    5754201
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2998233