2009 IEEE International Conference on Intelligent Computing and Intelligent Systems , 2009-11-20

Title : ( Genetic Algorithm based Logic Optimization for Multi-Output Majority Gate-based Nanoelectronic Circuits )

Authors: Monireh Houshmand , Seyed Saied Hosseini Khayat , ,

Citation: BibTeX | EndNote

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.

Keywords

, Multi-output QCA circuits, Majority gate, Genetic algorithm, Hardware reduction