• DocumentCode
    506573
  • Title

    An improved genetic algorithm based on triangulation

  • Author

    Liu, Guangyuan ; Li, Xuedong ; Wang, Shuxin ; Ma, Yongqiang

  • Author_Institution
    Sci. Res. Office Organ., Hebei Univ. of Eng., Handan, China
  • Volume
    1
  • fYear
    2009
  • fDate
    20-22 Nov. 2009
  • Firstpage
    447
  • Lastpage
    451
  • Abstract
    An improved genetic algorithm based on the hJ1 triangulation is proposed for optimization of dual multimodal function. With this algorithm, the optimal problems converse to solution of fixed point problems. The minimum points can be distinguished by using the Hessian Matrix. The test results of many typical functions indicated that the algorithm is valid and highly effective.
  • Keywords
    Hessian matrices; genetic algorithms; Hessian matrix; genetic algorithm; hJ1 triangulation; optimization; Equations; Fuzzy systems; Genetic algorithms; Genetic engineering; Stochastic processes; Sufficient conditions; Testing; fixed point; genetic algorithm; optimal; tiangulation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computing and Intelligent Systems, 2009. ICIS 2009. IEEE International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-4754-1
  • Electronic_ISBN
    978-1-4244-4738-1
  • Type

    conf

  • DOI
    10.1109/ICICISYS.2009.5357804
  • Filename
    5357804
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=506573