• DocumentCode
    3319451
  • Title

    Evolution of ultrasimple virtual robots

  • Author

    Ashlock, Dan ; Walker, John ; Oliver, James

  • Author_Institution
    Dept. of Math., Iowa State Univ., Ames, IA, USA
  • fYear
    1996
  • fDate
    4-5 Nov 1996
  • Firstpage
    170
  • Lastpage
    177
  • Abstract
    A genetic algorithm is presented to design virtual robots that perform a variety of different tasks. In all cases the robots are attempt to locate radiative sources. The fitness heuristic, number of sources, and boundary types of the world are varied. In all cases the genetic algorithm produced working designs. Designs are significantly specialized for the varied environments
  • Keywords
    digital simulation; genetic algorithms; heuristic programming; mobile robots; simulation; fitness heuristic; genetic algorithm; radiative source location; ultrasimple virtual robots; Algorithm design and analysis; Genetic algorithms; Intelligent agent; Manufacturing; Mathematics; Mechanical engineering; Mobile robots; Neural networks; Neurons; Robot sensing systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligence and Systems, 1996., IEEE International Joint Symposia on
  • Conference_Location
    Rockville, MD
  • Print_ISBN
    0-8186-7728-7
  • Type

    conf

  • DOI
    10.1109/IJSIS.1996.565066
  • Filename
    565066