GENERATING PARALLEL RANDOM NUMBER GENERATORS BY CELLULAR PROGRAMMING
Moshe Sipper () and
Marco Tomassini ()
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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
International Journal of Modern Physics C (IJMPC), 1996, vol. 07, issue 02, 181-190
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.
Date: 1996
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Persistent link: https://EconPapers.repec.org/RePEc:wsi:ijmpcx:v:07:y:1996:i:02:n:s012918319600017x
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DOI: 10.1142/S012918319600017X
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