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

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@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