• DocumentCode
    804713
  • Title

    The GA-P: a genetic algorithm and genetic programming hybrid

  • Author

    Howard, L.M. ; D´Angelo, Donno J.

  • Author_Institution
    SunTrust Service Corp., Atlanta, GA, USA
  • Volume
    10
  • Issue
    3
  • fYear
    1995
  • fDate
    6/1/1995 12:00:00 AM
  • Firstpage
    11
  • Lastpage
    15
  • Abstract
    The GA-P performs symbolic regression by combining the traditional genetic algorithms function optimization strength with the genetic-programming paradigm to evolve complex mathematical expressions capable of handling numeric and symbolic data. This technique should provide new insights into poorly understood data relationships
  • Keywords
    data handling; genetic algorithms; mathematical programming; symbol manipulation; GA-P; complex mathematical expressions; data relationships; function optimization strength; genetic algorithm; genetic programming hybrid; numeric data handling; symbolic data handling; symbolic regression; Equations; Evolutionary computation; Genetic algorithms; Genetic programming; Input variables; Knowledge based systems; Statistical analysis;
  • fLanguage
    English
  • Journal_Title
    IEEE Expert
  • Publisher
    ieee
  • ISSN
    0885-9000
  • Type

    jour

  • DOI
    10.1109/64.393137
  • Filename
    393137