• DocumentCode
    2323588
  • Title

    Elitist recombination: an integrated selection recombination GA

  • Author

    Thierens, Dirk ; Goldberg, David

  • Author_Institution
    Dept. of Electr. Eng., Leuven Univ., Belgium
  • fYear
    1994
  • fDate
    27-29 Jun 1994
  • Firstpage
    508
  • Abstract
    In standard genetic algorithms selection and recombination are separated into two distinct phases. Here we discuss an extremely simple GA implementation where selection and recombination are intertwined. Competition for survival takes place at the level of each family-the mating parents and their offspring-which results in a local elitist selection operator. We derive an analytical model for optimizing the bit counting function, and compare the elitist recombination GA with tournament selection and standard recombination. Results suggest that elitist recombination is less sensitive to undersized populations, while there is no need to choose a specific value for the crossover probability
  • Keywords
    genetic algorithms; optimisation; probability; search problems; bit counting function; crossover probability; elitist recombination; genetic algorithm; integrated selection recombination; local elitist selection operator; mating parents; offspring; optimization; recombination; selection; standard recombination; survival; tournament selection; undersized populations; Analytical models; Convergence; Genetic algorithms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation, 1994. IEEE World Congress on Computational Intelligence., Proceedings of the First IEEE Conference on
  • Conference_Location
    Orlando, FL
  • Print_ISBN
    0-7803-1899-4
  • Type

    conf

  • DOI
    10.1109/ICEC.1994.349898
  • Filename
    349898