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ABSTRACT
<p><b>Abstract</b>—Finding good random number generators (RNGs) is a hard problem that is of crucial import in several fields, ranging from large-scale statistical physics simulations to hardware self-test. In this paper, we employ the cellular programming evolutionary algorithm to automatically generate two-dimensional cellular automata (CA) RNGs. Applying an extensive suite of randomness tests to the evolved CAs, we demonstrate that they rapidly produce high-quality random-number sequences. Moreover, based on observations of the evolved CAs, we are able to handcraft even better RNGs, which not only outperform previously demonstrated high-quality RNGs, but can be potentially tailored to satisfy given hardware constraints.</p>
INDEX TERMS
Cellular automata, random number generators, evolutionary algorithms.
CITATION

M. Sipper, M. Tomassini and M. Perrenoud, "On the Generation of High-Quality Random Numbers by Two-Dimensional Cellular Automata," in IEEE Transactions on Computers, vol. 49, no. , pp. 1146-1151, 2000.
doi:10.1109/12.888056
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