Evolving ant colony systems in hardware for random number generation

  • Authors:

  • J. C. Isaacs;R. K. Watkins;S. Y. Foo

  • Affiliations:

  • Coll. of Eng., Florida State Univ., Tallahassee, FL, USA;Coll. of Eng., Florida State Univ., Tallahassee, FL, USA;Coll. of Eng., Florida State Univ., Tallahassee, FL, USA

  • Venue:
  • CEC '02 Proceedings of the Evolutionary Computation on 2002. CEC '02. Proceedings of the 2002 Congress - Volume 02
  • Year:
  • 2002

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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.