Logic Optimization for Majority Gate-Based Nanoelectronic Circuits Based on Genetic Algorithm

Created by W.Langdon from gp-bibliography.bib Revision:1.7630

@InProceedings{Bonyadi:2007:ICEE,

• author = "M. R. Bonyadi and S. M. R. Azghadi and N. M. Rad and K. Navi and E. Afjei",
• title = "Logic Optimization for Majority Gate-Based Nanoelectronic Circuits Based on Genetic Algorithm",
• booktitle = "International Conference on Electrical Engineering, 2007. ICEE '07",
• year = "2007",
• address = "Lahore",
• month = "11-12 " # apr,
• keywords = "genetic algorithms, genetic programming, QCA",
• ISBN = "1-4244-0893-8",
• DOI = "doi:10.1109/ICEE.2007.4287307",
• size = "5 pages",
• 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.",
• 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