• DocumentCode
    1733552
  • Title

    Using a tree structured genetic algorithm to perform symbolic regression

  • Author

    McKay, Ben ; Willis, Mark J. ; Barton, Geoffrey W.

  • Author_Institution
    Sydney Univ., NSW, Australia
  • fYear
    1995
  • Firstpage
    487
  • Lastpage
    492
  • Abstract
    A tree structured genetic algorithm is described. The algorithm is used to generate nonlinear models from process input output data. Three examples are utilised to demonstrate the applicability of the technique within the domain of process engineering
  • Keywords
    genetic algorithms; statistical analysis; trees (mathematics); nonlinear models; process engineering; process input output data; symbolic regression; tree structured genetic algorithm;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Genetic Algorithms in Engineering Systems: Innovations and Applications, 1995. GALESIA. First International Conference on (Conf. Publ. No. 414)
  • Conference_Location
    Sheffield
  • Print_ISBN
    0-85296-650-4
  • Type

    conf

  • DOI
    10.1049/cp:19951096
  • Filename
    501943
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1733552