Bonyadi, M.R., Azghadi, S.M.R., Rad, N.M., Navi, K., and Afjei, E. (2007) Logic optimization for majority gate-based nanoelectronic circuits based on genetic algorithm. In: Proceedings of the 2007 International Conference on Electrical Engineering. pp. 1-5. From: IEEE 07: International Conference on Electrical Engineering, 11-12 April 2007, Lahore, Pakistan.

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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.

Item ID:	45700
Item Type:	Conference Item (Research - E1)
ISBN:	978-1-4244-0892-4
Keywords:	majority expression, genetic algorithm, QCA, hardware reduction
Date Deposited:	02 Aug 2017 01:34
FoR Codes:	09 ENGINEERING > 0906 Electrical and Electronic Engineering > 090604 Microelectronics and Integrated Circuits @ 100%
SEO Codes:	97 EXPANDING KNOWLEDGE > 970109 Expanding Knowledge in Engineering @ 100%
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