• DocumentCode
    1635669
  • Title

    Analysis of constant creation techniques on the binomial-3 problem with grammatical evolution

  • Author

    Byrne, Jonathan ; Neil, Michael O. ; Hemberg, Erik ; Brabazon, Anthony

  • Author_Institution
    Natural Comput. Res. & Applic. Group, Univ. Coll. Dublin, Dublin
  • fYear
    2009
  • Firstpage
    568
  • Lastpage
    573
  • Abstract
    This paper studies the difference between Persistent Random Constants (PRC) and digit concatenation as methods for generating constants. It has been shown that certain problems have different fitness landscapes depending on how they are represented, independent of changes to the combinatorial search space, thus changing problem difficulty. In this case we show that the method for generating the constants can also influence how hard the problem is for genetic programming.
  • Keywords
    genetic algorithms; search problems; binomial-3 problem; combinatorial search space; constant creation techniques; digit concatenation method; genetic programming; grammatical evolution; persistent random constants; Adaptive systems; Computer applications; Educational institutions; Evolutionary computation; Genetic programming; Partial response channels; Polynomials; Probability; Sampling methods; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation, 2009. CEC '09. IEEE Congress on
  • Conference_Location
    Trondheim
  • Print_ISBN
    978-1-4244-2958-5
  • Electronic_ISBN
    978-1-4244-2959-2
  • Type

    conf

  • DOI
    10.1109/CEC.2009.4982996
  • Filename
    4982996