• DocumentCode
    521569
  • Title

    Fuzzy ant colony optimization algorithm

  • Author

    Alsawy, Assem A. ; Hefny, Hesham A. ; El-licy, F.

  • Author_Institution
    Department of Computer and Information Science, Institute of Statistical Studies and Research (ISSR), Cairo University
  • fYear
    2010
  • fDate
    28-30 March 2010
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Due to the fact that the element of uncertainty, not only, exists, but also significantly affects system performance in many real-world applications. Therefore there is a need for finding powerful techniques to handle such situations. The main objective of this research is to introduce a new version of ant algorithm that can solve the problems, which contain uncertain information or imprecise data. To achieve this objective, the research integrates fuzzy logic and ant algorithm for better handling of such problems.
  • Keywords
    Ant colony optimization; Cities and towns; Fuzzy logic; Information science; Particle swarm optimization; System performance; Traveling salesman problems; Uncertainty; Fuzzy numbers, Ant Colony Optimization, TSP, Soft computing, Swarm intelligence;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Informatics and Systems (INFOS), 2010 The 7th International Conference on
  • Conference_Location
    Cairo
  • Print_ISBN
    978-1-4244-5828-8
  • Type

    conf

  • Filename
    5502976