Genetic algorithm based logic optimization for multi-output majority gate-based nano-electronic circuits

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@InProceedings{Houshmand:2009:ICIS,
  author =       "Monireh Houshmand and Saied Hosseini Khayat and 
                 Razie Rezaei",
  title =        "Genetic algorithm based logic optimization for
                 multi-output majority gate-based nano-electronic
                 circuits",
  booktitle =    "IEEE International Conference on Intelligent Computing
                 and Intelligent Systems, ICIS 2009",
  year =         "2009",
  volume =       "1",
  pages =        "584--588",
  address =      "Shanghai",
  month =        "20-22 " # nov,
  keywords =     "genetic algorithms, genetic programming",
  isbn13 =       "978-1-4244-4754-1",
  DOI =          "doi:10.1109/ICICISYS.2009.5357775",
  size =         "5 pages",
  abstract =     "The majority-gate and the inverter-gate together make
                 a universal set of Boolean primitives in quantum-dot
                 cellular automata (QCA) circuits. An important step in
                 designing QCA circuits is reducing the number of
                 required primitives to implement a given Boolean
                 function. This paper presents a method to reduce the
                 number of primitive gates in a multi-output Boolean
                 circuit. It extends the previous methodology based on
                 genetic algorithm for converting sum of product
                 expressions into a reduced number of QCA primitive
                 gates in a single-output Boolean circuit. Simulation
                 results show that the proposed method is able to reduce
                 the number of primitive gates.",
  notes =        "Also known as \cite{5357775}",
}

Genetic Programming entries for Monireh Houshmand Saied Hosseini Khayat Razieh Rezaee

Citations