• DocumentCode
    1878200
  • Title

    Research on Ant Colony Algorithm for Continuous Function Optimization

  • Author

    Sun, Jianping ; Tian, Jing ; Yuan, Yifang

  • Author_Institution
    Dept. of Autom., North China Electr. Power Univ., Baoding, China
  • fYear
    2010
  • fDate
    10-12 Dec. 2010
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Ant colony algorithm is a novel category of bionic meta-heuristic algorithm and it is usually used in the discrete optimization problem and less in the continuous optimization problems.The ant colony algorithm has strong robustness and easy to combine with other methods in optimization. This paper presents an improved ant colony algorithm for the continuous function optimization. Simulated experiments shows the modified ant colony algorithms would get better results in both discrete domain and continuous domain.
  • Keywords
    biocybernetics; optimisation; ant colony algorithm; bionic meta-heuristic algorithm; continuous domain; continuous function optimization; discrete domain; Automation; Cities and towns; Power systems; Probability; Simulated annealing; Simulation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Software Engineering (CiSE), 2010 International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-5391-7
  • Electronic_ISBN
    978-1-4244-5392-4
  • Type

    conf

  • DOI
    10.1109/CISE.2010.5677087
  • Filename
    5677087
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1878200