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eISSN: 2581-9615 || CODEN: WJARAI || Impact Factor 8.2 ||  CrossRef DOI

Research and review articles are invited for publication in April 2026 (Volume 30, Issue 1) Submit manuscript

Design of low-power CMOS VLSI circuits using multi-objective optimization in genetic algorithms

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  • Design of low-power CMOS VLSI circuits using multi-objective optimization in genetic algorithms

Mahnoor Maghroori and Mehdi Dolatshahi *

Department of Electrical Engineering, Najafabad Branch, Islamic Azad University, Najafabad, Iran.
 
Research Article
World Journal of Advanced Research and Reviews, 2021, 12(01), 215-224
Article DOI: 10.30574/wjarr.2021.12.1.0427
DOI url: https://doi.org/10.30574/wjarr.2021.12.1.0427
 
Received on 03 August 2021; revised on 05 September 2021; accepted on 07 September 2021
 
This paper presents a design CAD tool for automated design of digital CMOS VLSI circuits. In order to fit the circuit performance into desired specifications, a multi-objective optimization approach based on genetic algorithms (GA) is proposed and the transistor sizes are calculated based on the analytical equations describing the behavior of the circuit. The optimization algorithm is developed in MATLAB and the performance of the designed circuit is verified using HSPICE simulations based on 0.18µm CMOS technology parameters. Different digital integrated circuits were successfully designed and verified using the proposed design tool. It is also shown in this paper that, the design results obtained from the proposed algorithm in MATLAB, have a very good agreement with the obtained circuit simulation results in HSPICE.
 
VLSI; Genetic algorithm; Full-Adder; CMOS; Low-Power; Optimization
 
https://wjarr.com/sites/default/files/fulltext_pdf/WJARR-2021-0427.pdf

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Mahnoor Maghroori and Mehdi Dolatshahi. Design of low-power CMOS VLSI circuits using multi-objective optimization in genetic algorithms. World Journal of Advanced Research and Reviews, 2021, 12(1), 215-224. Article DOI: https://doi.org/10.30574/wjarr.2021.12.1.0427

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