• DocumentCode
    618081
  • Title

    Testing a Particle Swarm Optimization and Artificial Bee Colony Hybrid algorithm on the CEC13 benchmarks

  • Author

    El-Abd, Mohammed

  • Author_Institution
    Comput. Eng. Dept., American Univ. of Kuwait, Safat, Kuwait
  • fYear
    2013
  • fDate
    20-23 June 2013
  • Firstpage
    2215
  • Lastpage
    2220
  • Abstract
    In this paper we test a hybrid Particle Swarm Optimization (PSO) and Artificial Bee Colony (ABC) algorithm on the CEC13 testbed. The hybridization technique is a component-based one, where the PSO algorithm is augmented with an ABC component to improve the personal bests of the particles.
  • Keywords
    ant colony optimisation; particle swarm optimisation; ABC algorithm; ABC component; CEC13 benchmarks; CEC13 testbed; PSO algorithm; artificial bee colony hybrid algorithm; hybrid particle swarm optimization testing; hybridization technique; Benchmark testing; Complexity theory; Equations; Mathematical model; Optimization; Particle swarm optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation (CEC), 2013 IEEE Congress on
  • Conference_Location
    Cancun
  • Print_ISBN
    978-1-4799-0453-2
  • Electronic_ISBN
    978-1-4799-0452-5
  • Type

    conf

  • DOI
    10.1109/CEC.2013.6557832
  • Filename
    6557832
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=618081