ISSN : 2319-7323

INTERNATIONAL JOURNAL OF COMPUTER SCIENCE ENGINEERING

ABSTRACT

Title	:	A Novel Optimized QCA 4:1 Multiplexer Circuit Using Genetic Algorithm
Authors	:	Som Banerjee, Chandrama Dey
Keywords	:	Quantum-Dot Cellular Automata, Majority gate, QCA clock, Genetic Algorithm, Fitness Function, Optimization, Multiplexer.
Issue Date	:	Mar-Apr 2020
Abstract	:	With the rapid development of very large scale integration (VLSI) technology, it has became necessitate to design circuits with high operational speed with area efficiency and high device density. The quantum dot cellular automata (QCA) technology can be a very promising alternative to CMOS technology to maintain the progression of exponential Moore’s law in the field of microelectronics. Majority gates and inverters are the fundamental blocks in quantum dot cellular automata circuits. In QCA, most important step is to reduce number of required majority gate and inverter for implementing a given Boolean function. This manuscript demonstrates a new method for reduction of number of majority gates and inverters in 4:1 multiplexer by implementing methodology on the basis of genetic algorithm. It has been proved that by implementing this proposed method less cell count, total area, cellular area and clock cycle are needed. Applying this proposed genetic algorithm and fitness function, any QCA based digital logic circuit can be optimized to obtain improved and efficient result.
Page(s)	:	137-147
ISSN	:	2319-7323
Source	:	Vol. 9, No. 2