Please use this identifier to cite or link to this item:
http://bura.brunel.ac.uk/handle/2438/1404
Title: | Evolving cellular automata to generate nonlinear sequences with desirable properties |
Authors: | Tan, SK Guan, SU |
Keywords: | Cellular automata; Random number generation; Incremental evolution |
Issue Date: | 2007 |
Publisher: | Elsevier |
Citation: | Applied Soft Computing, 7(3): 1131-1134, Jun 2007 |
Abstract: | This paper presents a new chromosomal representation and associated genetic operators for the evolution of highly nonlinear cellular automata that generate pseudorandom number sequences with desirable properties ensured. This chromosomal representation reduces the computational complexity of genetic operators to evolve valid solutions while facilitating fitness evaluation based on the DIEHARD statistical tests. |
URI: | http://bura.brunel.ac.uk/handle/2438/1404 |
DOI: | https://doi.org/10.1016/j.asoc.2006.10.003 |
ISSN: | 1568-4946 |
Appears in Collections: | Electronic and Electrical Engineering Dept of Electronic and Electrical Engineering Research Papers |
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