• DocumentCode
    3270623
  • Title

    Improvement in Extension of Ant Colony Optimization and its appliance

  • Author

    Bai, Ji-Yun ; Li, Shi-Yong

  • Author_Institution
    Dept. of Control Sci. & Eng., Harbin Inst. of Technol., Harbin, China
  • fYear
    2011
  • fDate
    18-20 Jan. 2011
  • Firstpage
    557
  • Lastpage
    560
  • Abstract
    Extension of Ant Colony Optimization (ACOR) had proposed by Dorigo in 2008, which could well solve optimization problems in continuous space. This paper combined Genetic Algorithm with ACOR to overcome ACOR´s disadvantages of slow convergence speed and great probability of converging to local optimum, as is proved by simulation analysis in neural network weights optimizing.
  • Keywords
    genetic algorithms; neural nets; ant colony optimization; convergence speed; genetic algorithm; neural network weights optimization; Silicon; Silicon compounds; Extension of Ant Colony Optimization; Genetic Algorithm; Neural Network; Parameter Optimizing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Computer Control (ICACC), 2011 3rd International Conference on
  • Conference_Location
    Harbin
  • Print_ISBN
    978-1-4244-8809-4
  • Electronic_ISBN
    978-1-4244-8810-0
  • Type

    conf

  • DOI
    10.1109/ICACC.2011.6016475
  • Filename
    6016475
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3270623