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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
Publication 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: www.elsevier.com/wps/product/cws_home/621920
http://bura.brunel.ac.uk/handle/2438/1404
ISSN: 1568-4946
Appears in Collections:School of Engineering and Design Research papers
Electronic and Computer Engineering

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