Logic optimization for majority gate-based nanoelectronic circuits based on genetic algorithm

Conference Publication ResearchOnline@JCU

Bonyadi, M.R.;Azghadi, S.M.R.;Rad, N.M.;Navi, K.;Afjei, E.

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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Publication Name

IEEE 07: International Conference on Electrical Engineering

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ISBN/ISSN

978-1-4244-0892-4

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Location

Lahore, Pakistan

Publisher

Institute of Electrical and Electronics Engineers

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Publisher Location

Piscataway, NJ, USA

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DOI

10.1109/ICEE.2007.4287307