Logic Optimization for Majority Gate-Based Nanoelectronic Circuits Based on Genetic Algorithm
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- @InProceedings{Bonyadi:2007:ICEE,
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author = "M. R. Bonyadi and S. M. R. Azghadi and N. M. Rad and
K. Navi and E. Afjei",
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title = "Logic Optimization for Majority Gate-Based
Nanoelectronic Circuits Based on Genetic Algorithm",
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booktitle = "International Conference on Electrical Engineering,
2007. ICEE '07",
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year = "2007",
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address = "Lahore",
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month = "11-12 " # apr,
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keywords = "genetic algorithms, genetic programming, QCA",
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ISBN = "1-4244-0893-8",
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DOI = "doi:10.1109/ICEE.2007.4287307",
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size = "5 pages",
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abstract = "In this paper we propose a novel and efficient method
for majority gate-based design. The basic Boolean
primitive in quantum cellular automata (QCA) is the
majority gate. Method for reducing the number of
majority gates required for computing Boolean functions
is developed to facilitate the conversion of sum of
products (SOP) expression into QCA majority logic. This
method is based on genetic algorithm and can reduce the
hardware requirements for a QCA design. We will show
that the proposed approach is very efficient in
deriving the simplified majority expression in QCA
design.",
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notes = "Also known as \cite{4287307}",
- }
Genetic Programming entries for
Mohammad Reza Bonyadi
Mostafa Rahimi Azghadi
N M Rad
Keivan Navi
Seyed Ebrahim Afjei
Citations