Title : ( Genetic Algorithm based Logic Optimization for Multi-Output Majority Gate-based Nanoelectronic Circuits )
Authors: Monireh Houshmand , Seyed Saied Hosseini Khayat , ,
Full TextAbstract
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.
Keywords
, Multi-output QCA circuits, Majority gate, Genetic algorithm, Hardware reduction
@inproceedings{paperid:1014001,
author = {Monireh Houshmand and Hosseini Khayat, Seyed Saied and , },
title = {Genetic Algorithm based Logic Optimization for Multi-Output Majority Gate-based Nanoelectronic Circuits},
booktitle = {2009 IEEE International Conference on Intelligent Computing and Intelligent Systems},
year = {2009},
location = {Shanghai},
keywords = {Multi-output QCA circuits; Majority gate; Genetic algorithm; Hardware reduction},
}
%0 Conference Proceedings
%T Genetic Algorithm based Logic Optimization for Multi-Output Majority Gate-based Nanoelectronic Circuits
%A Monireh Houshmand
%A Hosseini Khayat, Seyed Saied
%A ,
%J 2009 IEEE International Conference on Intelligent Computing and Intelligent Systems
%D 2009
