• DocumentCode
    3111293
  • Title

    Flat world optimization algorithm

  • Author

    Van Quang Vo ; Lee, Ju-Jang

  • Author_Institution
    Dept. of Electr. Eng., KAIST, Daejeon, South Korea
  • fYear
    2009
  • fDate
    5-8 July 2009
  • Firstpage
    1139
  • Lastpage
    1143
  • Abstract
    In this paper, a population based method for optimization is proposed. In this 21st century people say ldquoThe world is being flattenedrdquo and in this proposed algorithm we can say ldquothe population is flattenedrdquo. The paper introduces a neighborhood topology, named as flat world neighborhood topology, and a optimization tool, named as flat world optimization. The proposed algorithm exploits the flat world properties, the natural selection and the particle swarm optimization (PSO) therefore making it a very powerful algorithm. A number of tests have been conducted and the results are compared with some relevant PSO variants to illustrate the algorithm cornerstones.
  • Keywords
    multi-agent systems; particle swarm optimisation; topology; PSO; flat world optimization algorithm; multiagent system; neighborhood topology; particle swarm optimization; population based method; Birds; Cognition; Educational institutions; Equations; Industrial electronics; Marine animals; Network topology; Optimization methods; Particle swarm optimization; Testing; Flat World; Flat World Optimization; Flat World topology; Neighborhood topology; Optimization; PSO; Swarm Intelligence;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics, 2009. ISIE 2009. IEEE International Symposium on
  • Conference_Location
    Seoul
  • Print_ISBN
    978-1-4244-4347-5
  • Electronic_ISBN
    978-1-4244-4349-9
  • Type

    conf

  • DOI
    10.1109/ISIE.2009.5214294
  • Filename
    5214294