• DocumentCode
    2329986
  • Title

    An Improved genetic algorithm based on K1 triangulation with variable coefficient for optimization of multimodal functions

  • Author

    Zhang, Jingjun ; Shang, Yanmin ; Gao, Ruizhen ; Dong, Yuzhen

  • Author_Institution
    Sci. Res. Office, Hebei Univ. of Eng., Handan
  • fYear
    2009
  • fDate
    25-27 May 2009
  • Firstpage
    88
  • Lastpage
    91
  • Abstract
    In this paper, an improved genetic algorithm based on the K1 triangulation with variable coefficient is proposed for optimization of dual multimodal function. With this algorithm, the optimal problems can transfer to solution of fixed point problems. Hessian Matrix is used to distinguish the minimum points. The test results of much typical function demonstrate that the algorithm is valid and highly effective.
  • Keywords
    Hessian matrices; genetic algorithms; Hessian Matrix; K1 triangulation; genetic algorithm; multimodal functions optimization; Algorithm design and analysis; Decision making; Design engineering; Design optimization; Educational institutions; Equations; Genetic algorithms; Genetic engineering; Stochastic processes; Testing; Fixed Point; Genetic Algorithm; Hessian Matrix; Optimal design; hK1 triangulation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics and Applications, 2009. ICIEA 2009. 4th IEEE Conference on
  • Conference_Location
    Xi´an
  • Print_ISBN
    978-1-4244-2799-4
  • Electronic_ISBN
    978-1-4244-2800-7
  • Type

    conf

  • DOI
    10.1109/ICIEA.2009.5138175
  • Filename
    5138175
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2329986