• DocumentCode
    2044290
  • Title

    Evolving simple software agents: comparing genetic algorithm and genetic programming performance

  • Author

    Sinclair, M.C. ; Shami, S.H.

  • Author_Institution
    Dept. of Electron. Syst. Eng., Essex Univ., Colchester, UK
  • fYear
    1997
  • fDate
    2-4 Sep 1997
  • Firstpage
    421
  • Lastpage
    426
  • Abstract
    This paper investigates the relative efficiency of genetic algorithms and genetic programming in evolving simple software agents. The problem domain consists of an autonomous food-gathering agent placed on a square grid of hundred cells with food units spread evenly over the grid. Initial results show that evolving the agent using GP requires less effort than with GA. Nevertheless, further investigation revealed some interesting aspects
  • Keywords
    software agents; autonomous food-gathering agent; genetic algorithm; genetic programming; software agent evolution;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Genetic Algorithms in Engineering Systems: Innovations and Applications, 1997. GALESIA 97. Second International Conference On (Conf. Publ. No. 446)
  • Conference_Location
    Glasgow
  • ISSN
    0537-9989
  • Print_ISBN
    0-85296-693-8
  • Type

    conf

  • DOI
    10.1049/cp:19971217
  • Filename
    681063
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2044290