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Generating Parallel Random Number Generators By Cellular Programming

Author

Listed:
  • MOSHE SIPPER

    (Logic Systems Laboratory, Swiss Federal Institute of Technology, IN-Ecublens, CH-1015 Lausanne, Switzerland)

  • MARCO TOMASSINI

    (Logic Systems Laboratory and Swiss Scientific Computing Center, Manno, Switzerland)

Abstract

Random numbers are needed in a variety of applications, yet finding good random number generators is a difficult task. In this paper non-uniform cellular automata (CA) are studied, presenting thecellular programmingalgorithm for co-evolving such CAs to perform computations. The algorithm is applied to the evolution of random number generators; our results suggest that evolved generators are at least as good as previously described CAs, with notable advantages arising from the existence of a "tunable" algorithm for obtaining random number generators.

Suggested Citation

  • Moshe Sipper & Marco Tomassini, 1996. "Generating Parallel Random Number Generators By Cellular Programming," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 7(02), pages 181-190.
    • Handle: RePEc:wsi:ijmpcx:v:07:y:1996:i:02:n:s012918319600017x
    DOI: 10.1142/S012918319600017X
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