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

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@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