• DocumentCode
    2221344
  • Title

    A new evolutionary approach to minimax problems

  • Author

    Lung, Rodica Ioana ; Dumitrescu, D.

  • Author_Institution
    Fac. of Econ. & Bus. Adm, Babes-Bolyai Univ. of Cluj Napoca, Cluj-Napoca, Romania
  • fYear
    2011
  • fDate
    5-8 June 2011
  • Firstpage
    1902
  • Lastpage
    1905
  • Abstract
    Minimax or worst-case optimization is concerned with the minimization of the maximum output in all scenarios of a given problem. The minimax problem can be transformed in a two players zero-sum game considering the fact that the Nash equilibria of this game would represent the solution of the original problem. Using the Nash ascendancy relation the equilibria of the game can be directly computed using a differential evolution algorithm. Results obtained by using this approach are compared with best known results from literature on six minimax benchmark problems.
  • Keywords
    evolutionary computation; game theory; minimax techniques; minimisation; Nash ascendancy relation; Nash equilibria; differential evolution algorithm; evolutionary approach; minimax problems; two players zero-sum game; worst-case optimization; Approximation algorithms; Benchmark testing; Evolutionary computation; Game theory; Games; Optimization; Search problems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation (CEC), 2011 IEEE Congress on
  • Conference_Location
    New Orleans, LA
  • ISSN
    Pending
  • Print_ISBN
    978-1-4244-7834-7
  • Type

    conf

  • DOI
    10.1109/CEC.2011.5949847
  • Filename
    5949847