Using a genetic algorithm for optimizing the functional decomposition of multiple-valued functions

Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/2504

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DC Field	Value	Language
dc.contributor.author	Kalganova, T	-
dc.contributor.author	Kochergov, E	-
dc.contributor.author	Strechen, N	-
dc.coverage.spatial	5	en
dc.date.accessioned	2008-07-18T14:26:15Z	-
dc.date.available	2008-07-18T14:26:15Z	-
dc.date.issued	1997	-
dc.identifier.citation	Proceeding of the 5th European Congress on Intelligent Techniques and Soft Computing, EUFIT’97. Aachen, Germany, 1997. Vol.1. pp. 826-830	en
dc.identifier.uri	http://bura.brunel.ac.uk/handle/2438/2504	-
dc.description.abstract	The genetic algorithm which determines the good functional decomposition of multiple-valued logic functions is presented. The algorithm expands the range of searching for a best decomposition, providing the optimal column multiplicity. The possible solutions are evaluated using the gain of decomposition for multiple-valued function.	en
dc.format.extent	554705 bytes	-
dc.format.mimetype	application/pdf	-
dc.language.iso	en	-
dc.publisher	European Laboratory for Intelligent Techniques Engineering	en
dc.title	Using a genetic algorithm for optimizing the functional decomposition of multiple-valued functions	en
dc.type	Conference Paper	en
Appears in Collections:	Electronic and Computer Engineering Dept of Electronic and Electrical Engineering Research Papers

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