• DocumentCode
    2697364
  • Title

    Imperialist competitive algorithm: An algorithm for optimization inspired by imperialistic competition

  • Author

    Atashpaz-Gargari, Esmaeil ; Lucas, Caro

  • Author_Institution
    Univ. of Tehran, Tehran
  • fYear
    2007
  • fDate
    25-28 Sept. 2007
  • Firstpage
    4661
  • Lastpage
    4667
  • Abstract
    This paper proposes an algorithm for optimization inspired by the imperialistic competition. Like other evolutionary ones, the proposed algorithm starts with an initial population. Population individuals called country are in two types: colonies and imperialists that all together form some empires. Imperialistic competition among these empires forms the basis of the proposed evolutionary algorithm. During this competition, weak empires collapse and powerful ones take possession of their colonies. Imperialistic competition hopefully converges to a state in which there exist only one empire and its colonies are in the same position and have the same cost as the imperialist. Applying the proposed algorithm to some of benchmark cost functions, shows its ability in dealing with different types of optimization problems.
  • Keywords
    evolutionary computation; optimisation; benchmark cost functions; evolutionary algorithm; imperialist competitive algorithm; optimization problems; Evolutionary computation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation, 2007. CEC 2007. IEEE Congress on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4244-1339-3
  • Electronic_ISBN
    978-1-4244-1340-9
  • Type

    conf

  • DOI
    10.1109/CEC.2007.4425083
  • Filename
    4425083