Title :
A combinational logic optimization for majority gate-based nanoelectronic circuits based on GA
Author :
Roohi, A. ; Kamrani, M. ; Sayedsalehi, S. ; Navi, K.
Author_Institution :
Dept. of Comput. Eng., Sci. & Res. Branch, IAU, Tehran, Iran
Abstract :
Quantum dots cellular automata is a new computing method in the nanotechnology that has considerable features such as low power, small dimension and high speed switch. A QCA device stores logic based on the position of individual electrons. The fundamental logic elements in QCA are the majority (Fig.1 (a)) and inverter gates (Fig.1 (b)) that operate based on the Coulomb repulsion between electrons [1].
Keywords :
cellular automata; genetic algorithms; logic circuits; logic gates; nanoelectronics; semiconductor quantum dots; Coulomb repulsion; GA; QCA device; combinational logic optimization; high speed switch; inverter gates; logic elements; majority gate-based nanoelectronic circuits; quantum dot cellular automata; Biological cells; Clocks; Computers; Genetic algorithms; Inverters; Logic gates; Optimization;
Conference_Titel :
Semiconductor Device Research Symposium (ISDRS), 2011 International
Conference_Location :
College Park, MD
Print_ISBN :
978-1-4577-1755-0
DOI :
10.1109/ISDRS.2011.6135290