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
fDate :
6/24/1905 12:00:00 AM
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;
Conference_Titel :
Evolutionary Computation, 2002. CEC '02. Proceedings of the 2002 Congress on
Conference_Location :
Honolulu, HI
Print_ISBN :
0-7803-7282-4
DOI :
10.1109/CEC.2002.1004456
