• DocumentCode
    2325508
  • Title

    Context preserving crossover in genetic programming

  • Author

    D´haeseleer, Patrik

  • Author_Institution
    LSI Logic, Atherton, CA, USA
  • fYear
    1994
  • fDate
    27-29 Jun 1994
  • Firstpage
    256
  • Abstract
    This paper introduces two new crossover operators for genetic programming (GP): strong context-preserving crossover and weak context-preserving crossover. Contrary to the regular GP crossover, the operators presented attempt to preserve the context in which subtrees appeared in the parent trees. A simple coordinate scheme for nodes in an S-expression tree is proposed, and crossovers are only allowed between nodes with exactly or partially matching coordinates
  • Keywords
    genetic algorithms; optimisation; path planning; programming; trees (mathematics); S-expression tree; context-preserving crossover; crossover operators; genetic programming; matching coordinates; node coordinate scheme; subtrees; Biological cells; Convergence; Decision trees; Genetic algorithms; Genetic mutations; Genetic programming; Large scale integration; Logic programming; Robustness;
  • 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.1994.350006
  • Filename
    350006