Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/2504
Title: Using a genetic algorithm for optimizing the functional decomposition of multiple-valued functions
Authors: Kalganova, T
Kochergov, E
Strechen, N
Issue Date: 1997
Publisher: European Laboratory for Intelligent Techniques Engineering
Citation: Proceeding of the 5th European Congress on Intelligent Techniques and Soft Computing, EUFIT’97. Aachen, Germany, 1997. Vol.1. pp. 826-830
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.
URI: http://bura.brunel.ac.uk/handle/2438/2504
Appears in Collections:Electronic and Computer Engineering
Dept of Electronic and Electrical Engineering Research Papers

Files in This Item:
File Description SizeFormat 
1997_kalganova_eufit97.pdf541.7 kBAdobe PDFView/Open


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