Please use this identifier to cite or link to this item:
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.
ISSN: 1568-4946
Appears in Collections:Electronic and Computer Engineering
Dept of Electronic and Computer Engineering Research Papers

Files in This Item:
File Description SizeFormat 
Evolving+Cellular+Automata+to+Generate+Nonlinear+Sequences.pdf525.13 kBAdobe PDFView/Open

Items in BURA are protected by copyright, with all rights reserved, unless otherwise indicated.