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Artificial Intelligence: Evolution, Developments, Applications, and Future Scope.
R Raj, A Kos - Przeglad Elektrotechniczny, 2023 - search.ebscohost.com
English Artificial intelligence (AI) or Machine Intelligence (MI) is the most important and
interesting technology in recent decades due to its vast application in almost every field of …
interesting technology in recent decades due to its vast application in almost every field of …
Design and area optimization of CMOS operational amplifier circuit using hybrid flower pollination algorithm for IoT end-node devices
CMOS operational amplifiers are widely used in internet of things (IoT) systems due to their
excellent performance at low input voltage. However, the design and optimization of high …
excellent performance at low input voltage. However, the design and optimization of high …
Design automation of two-stage operational amplifier using multi-objective genetic algorithm and SPICE framework
Analog and mixed-signal circuits products often have a lengthy design process and result in
sub-optimal designs because analog performance metrics often have trade-offs, which …
sub-optimal designs because analog performance metrics often have trade-offs, which …
Simulated annealing assisted NSGA-III-based multi-objective analog IC sizing tool
Over the last few decades, several CAD tools using random search techniques have been
developed to find a set of optimum solutions for analog IC design. Although most of these …
developed to find a set of optimum solutions for analog IC design. Although most of these …
Design optimization of analog integrated circuits by using artificial neural networks
This paper presents a computer-aided design (CAD) tool for automated sizing and
optimization of analog integrated circuits (ICs). This tool uses artificial neural networks …
optimization of analog integrated circuits (ICs). This tool uses artificial neural networks …
[HTML][HTML] Deep reinforcement learning and bayesian optimization based OpAmp design across the CMOS process space
In this work, we propose a Deep Reinforcement Learning (DRL)-based method for the multi-
objective optimization of circuit parameters. The approach leverages a custom …
objective optimization of circuit parameters. The approach leverages a custom …
A design automation system for CMOS analog integrated circuits using new hybrid shuffled frog lea** algorithm
This paper presents a new computer-aided design (CAD) system for automated sizing of
analog integrated circuits (ICs). A new evolutionary algorithm, called New Hybrid Shuffled …
analog integrated circuits (ICs). A new evolutionary algorithm, called New Hybrid Shuffled …
A hybrid GA-SQP algorithm for analog circuits sizing
F Yengui, L Labrak, F Frantz, R Daviot, N Abouchi… - Circuits and …, 2012 - scirp.org
This study presents a hybrid algorithm obtained by combining a genetic algorithm (GA) with
successive quadratic sequential programming (SQP), namely GA-SQP. GA is the main …
successive quadratic sequential programming (SQP), namely GA-SQP. GA is the main …
Operational amplifier circuit sizing based on NSGA-II and particle swarm optimization
This paper presents the simulation based design of analog integrated circuit design using
an evolutionary algorithm. We design a basic two stage opamp using multi objective …
an evolutionary algorithm. We design a basic two stage opamp using multi objective …
Comparative analog circuit design automation based on multi-objective evolutionary algorithms: An application on CMOS opamp
Automation of analog integrated circuit (IC) design process is very important because of the
optimization contradictions. In this study, benefits of multi-objective evolutionary algorithms …
optimization contradictions. In this study, benefits of multi-objective evolutionary algorithms …