• DocumentCode
    2823036
  • Title

    Self-configuring genetic programming algorithm with modified uniform crossover

  • Author

    Semenkin, Eugene ; Semenkina, Maria

  • Author_Institution
    Inst. of Comput. Sci. & Telecommun., Siberian State Aerosp. Univ., Krasnoyarsk, Russia
  • fYear
    2012
  • fDate
    10-15 June 2012
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    For genetic programming algorithms new variants of uniform crossover operators that introduce selective pressure on the recombination stage are proposed. Operators probabilistic rates based approach to GP self-configuration is suggested. Proposed modifications usefulness is demonstrated on benchmark test and real world problems.
  • Keywords
    genetic algorithms; GP self-configuration; benchmark test; operator probabilistic rates; real world problems; recombination stage; selective pressure; self-configuring genetic programming algorithm; uniform crossover operators; Algorithm design and analysis; Classification algorithms; Genetic algorithms; Genetic programming; Heuristic algorithms; Reliability; Tuning; Genetic programming; classification; selective pressure recombination; self-configuration; symbolic regression; uniform crossover;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation (CEC), 2012 IEEE Congress on
  • Conference_Location
    Brisbane, QLD
  • Print_ISBN
    978-1-4673-1510-4
  • Electronic_ISBN
    978-1-4673-1508-1
  • Type

    conf

  • DOI
    10.1109/CEC.2012.6256587
  • Filename
    6256587
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2823036