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Full metadata record
DC Field | Value | Language |
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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 Electrical Engineering Dept of Electronic and Electrical Engineering Research Papers |
Files in This Item:
File | Description | Size | Format | |
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FullText.pdf | 525.13 kB | Adobe PDF | View/Open |
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