• DocumentCode
    617936
  • Title

    The Spiral Optimization and its stability analysis

  • Author

    Tamura, Keiichi ; Yasuda, Kazuhiro

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Tokyo Metropolitan Univ., Tokyo, Japan
  • fYear
    2013
  • fDate
    20-23 June 2013
  • Firstpage
    1075
  • Lastpage
    1082
  • Abstract
    This paper first completes Spiral Optimization (SPO), which is a new metaheuristics method proposed by the authors based on analogy of spiral phenomena in nature, by refining our previous studies and adding some new matters. Secondary, we point out that the SPO model has a dynamic equilibrium point and strictly analyze its asymptotic stability and ε-stability. In addition, the stability analysis results are applied to a simple setting method for a parameter of SPO. Finally, we evaluate the effectiveness and peculiarity of SPO through numerical experiments for some benchmark problems and comparing other representative methods PSO and DE.
  • Keywords
    asymptotic stability; optimisation; ε-stability.analysis; SPO model; asymptotic stability analysis; benchmark problems; dynamic equilibrium point; metaheuristics method; spiral optimization; spiral phenomena; stability analysis; Asymptotic stability; Convergence; Equations; Mathematical model; Optimization; Spirals; Trajectory;
  • 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.2013.6557686
  • Filename
    6557686