• DocumentCode
    2910425
  • Title

    Equivalence of probabilistic tournament and polynomial ranking selection

  • Author

    Hingee, Kassel ; Hutter, Marcus

  • Author_Institution
    Australian Nat. Univ., Canberra, ACT
  • fYear
    2008
  • fDate
    1-6 June 2008
  • Firstpage
    564
  • Lastpage
    571
  • Abstract
    Crucial to an evolutionary algorithm´s performance is its selection scheme. We mathematically investigate the relation between polynomial rank and probabilistic tournament methods which are (respectively) generalisations of the popular linear ranking and tournament selection schemes. We show that every probabilistic tournament is equivalent to a unique polynomial rank scheme. In fact, we derived explicit operators for translating between these two types of selection. Of particular importance is that most linear and most practical quadratic rank schemes are probabilistic tournaments.
  • Keywords
    evolutionary computation; polynomial approximation; probability; evolutionary algorithm; linear ranking selection; polynomial ranking selection; probabilistic tournament method; Algorithm design and analysis; Australia; Evolutionary computation; Genetic mutations; Mathematics; Polynomials; Pressure control; Probability distribution;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation, 2008. CEC 2008. (IEEE World Congress on Computational Intelligence). IEEE Congress on
  • Conference_Location
    Hong Kong
  • Print_ISBN
    978-1-4244-1822-0
  • Electronic_ISBN
    978-1-4244-1823-7
  • Type

    conf

  • DOI
    10.1109/CEC.2008.4630852
  • Filename
    4630852