• DocumentCode
    1635309
  • Title

    Evolving ant colony systems in hardware for random number generation

  • Author

    Isaacs, Jason C. ; Watkins, Robert K. ; Foo, Simon Y.

  • Author_Institution
    Coll. of Eng., Florida State Univ., Tallahassee, FL, USA
  • Volume
    2
  • fYear
    2002
  • fDate
    6/24/1905 12:00:00 AM
  • Firstpage
    1450
  • Lastpage
    1455
  • Abstract
    Using a genetic algorithm (GA) to evolve ant colony systems (ACS), we have succeeded at producing evolvable random number generators (RNG) that can be written to hardware. Although the simulated behavior of individual ants is limited to a small number of choices, "fit" colonies pass many stringent tests for randomness
  • Keywords
    artificial life; field programmable gate arrays; genetic algorithms; random number generation; reconfigurable architectures; ant colony systems evolution; evolvable random number generators; field programmable gate array; genetic algorithm; random number generation; randomness; Biological cells; Biological system modeling; Educational institutions; Field programmable gate arrays; Genetic algorithms; Genetic engineering; Hardware; Random number generation; Sequences; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation, 2002. CEC '02. Proceedings of the 2002 Congress on
  • Conference_Location
    Honolulu, HI
  • Print_ISBN
    0-7803-7282-4
  • Type

    conf

  • DOI
    10.1109/CEC.2002.1004456
  • Filename
    1004456
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1635309