• DocumentCode
    173077
  • Title

    Study on Cluster-structured Spiral Optimization

  • Author

    Suzuki, Kenji ; Tamura, Keiichi ; Yasuda, Kazuhiro

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Tokyo Metropolitan Univ., Hachioji, Japan
  • fYear
    2014
  • fDate
    5-8 Oct. 2014
  • Firstpage
    94
  • Lastpage
    99
  • Abstract
    In recent years, the authors proposed a new multipoint metaheuristics, called Spiral Optimization (SPO), based on analogy of spiral phenomena for continuous optimization problems. The search points moving toward the common center with logarithmic spiral trajectories can find better solutions. In this paper, we propose a Cluster-structured SPO that aims to enhance diversification property to search the solution space more globally than the original SPO. The effectiveness and search performance of the proposed method are confirmed through simulation for typical benchmark functions.
  • Keywords
    optimisation; search problems; SPO; benchmark functions; cluster-structured spiral optimization; continuous optimization problems; logarithmic spiral trajectory; multipoint metaheuristics; search points; spiral phenomena; Benchmark testing; Convergence; Genetic algorithms; Optimization; Search problems; Spirals; Trajectory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man and Cybernetics (SMC), 2014 IEEE International Conference on
  • Conference_Location
    San Diego, CA
  • Type

    conf

  • DOI
    10.1109/SMC.2014.6973890
  • Filename
    6973890