Evolving cellular automata to generate nonlinear sequences with desirable properties

Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/1404

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DC Field	Value	Language
dc.contributor.author	Tan, SK	-
dc.contributor.author	Guan, SU	-
dc.date.accessioned	2007-12-14T12:37:36Z	-
dc.date.available	2007-12-14T12:37:36Z	-
dc.date.issued	2007	-
dc.identifier.citation	Applied Soft Computing, 7(3): 1131-1134, Jun 2007	en
dc.identifier.issn	1568-4946	-
dc.identifier.uri	http://bura.brunel.ac.uk/handle/2438/1404	-
dc.description.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.	en
dc.format.extent	88530 bytes	-
dc.format.mimetype	application/pdf	-
dc.language.iso	en	-
dc.publisher	Elsevier	en
dc.subject	Cellular automata; Random number generation; Incremental evolution	en
dc.title	Evolving cellular automata to generate nonlinear sequences with desirable properties	en
dc.type	Research Paper	en
dc.identifier.doi	https://doi.org/10.1016/j.asoc.2006.10.003	-
Appears in Collections:	Electronic and Computer Engineering Dept of Electronic and Electrical Engineering Research Papers

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