• DocumentCode
    2467368
  • Title

    Ordinal Pareto Genetic Programming

  • Author

    Smits, Guido ; Vladislavleva, Ekaterina

  • Author_Institution
    Dow Benelux B.V., Temeuzen
  • fYear
    0
  • fDate
    0-0 0
  • Firstpage
    3114
  • Lastpage
    3120
  • Abstract
    This paper introduces the first attempt to combine the theory of ordinal optimization and symbolic regression via genetic programming. A new approach called ordinal ParetoGP allows obtaining considerably fitter solutions with more consistency between independent runs while spending less computational effort. The conclusions are supported by a number of experiments using three symbolic regression benchmark problems of various size.
  • Keywords
    Pareto optimisation; genetic algorithms; regression analysis; ordinal Pareto genetic programming; ordinal optimization; symbolic regression problems; Econometrics; Genetic mutations; Genetic programming; Mathematics; Multidimensional systems; Navigation; Operations research; Research and development; Robots; Stochastic processes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation, 2006. CEC 2006. IEEE Congress on
  • Conference_Location
    Vancouver, BC
  • Print_ISBN
    0-7803-9487-9
  • Type

    conf

  • DOI
    10.1109/CEC.2006.1688703
  • Filename
    1688703
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2467368