Optimal CMOS Analog Amplifier Circuit Design Using a Modified PSO for Consumer Electronic Applications DOI Creative Commons

Rajalaxmi Das,

Bishnu Prasad De, Sumalya Ghosh

et al.

Journal of Electrical and Computer Engineering, Journal Year: 2024, Volume and Issue: 2024(1)

Published: Jan. 1, 2024

CMOS analog amplifier circuits are integral components in the signal‐processing stages of consumer electronics. They also find applications advanced imaging systems, augmented reality devices, smartphone audio applications, power management circuits, etc. The differential and two‐stage operational must be optimally designed for next‐generation electronics where speed sizing important constraints. This nonlinear constrained optimization problem can resolved using evolutionary techniques. article proposes an efficient design technique a circuit op‐amplifier. A well‐known is particle swarm (PSO). PSO robust method but may suffer from premature convergence slow speed. used here modified version PSO, named Levy flight, function, Singer map utilized (LPSPSO). In flight enhance exploration capability improve proposed reduces individual circuits’ area time while satisfying constraint. LPSPSO‐based results authenticated with SPICE. SPICE demonstrate that LPSPSO than formerly reported methods designing amplifiers terms MOS area, gain, dissipation,

Language: Английский

Robust circuit optimization under PVT variations via weight optimization problem reformulation DOI
Jintao Li, Yongfu Li, Yanhan Zeng

et al.

Expert Systems with Applications, Journal Year: 2024, Volume and Issue: 248, P. 123301 - 123301

Published: Feb. 2, 2024

Language: Английский

Citations

4
Enhancing AI-Inspired Analog Circuit Design: Optimizing Component Sizes with the Firefly Algorithm and Binary Firefly Algorithm DOI Creative Commons
Trang Hoang

EAI Endorsed Transactions on Industrial Networks and Intelligent Systems, Journal Year: 2025, Volume and Issue: 12(2)

Published: Jan. 8, 2025

This paper explores the use of Firefly Algorithm (FA) and its binary variant (BFA) in optimizing analog circuit component sizing, specifically as a case study for two-stage operational amplifier (op-amp) designed with 65nm CMOS process. Recognizing limitations traditional optimization approaches handling complex design requirements, this implements both FA BFA to enhance convergence speed accuracy within multi-dimensional search spaces. The Python-Spectre framework paperfacilitates automatic, iterative simulation data collection, driving Through extensive benchmarking, outperformed FA, balancing exploration exploitation while achieving superior outcomes across key parameters such voltage gain, phase margin, unity-gain bandwidth. Comparative analysis existing methods, including Particle Swarm Optimization (PSO) Genetic (GA), underscores efficiency metrics, particularly power-constrained environments. demonstrates potential swarm intelligence advancing automatic establishes foundation future enhancements automation.

Language: Английский

Citations

0
Circuit-Centric Genetic Algorithm for the Optimization of a Radio-Frequency Receiver DOI Open Access
Hyunwoong Shin,

Mingi Kwon,

Yeonjun Lee

et al.

Electronics, Journal Year: 2025, Volume and Issue: 14(4), P. 770 - 770

Published: Feb. 16, 2025

This paper presents a design automation method for optimizing parameters of radio-frequency front-ends, specifically aiming to maximize the overall performance receiver circuit. In this work, target includes reduction in power consumption and noise figure an increase conversion gain. The use artificial algorithm optimization RF is investigated, illustrating how achieve goals complex space composed multiple inter-related circuit parameters. As basis proposed research, genetic algorithm, well-known metaheuristic approach, chosen utilized process. Since conventional GA has limitations optimization, including suboptimal slow convergence due crossover operations, concept circuit-centric as viable approach that primarily focuses on mutation addition, by preserving high-performing solutions incorporating guiding mechanism toward metric-specific best solutions, achieves much faster compared other approaches. Therefore, it can be parameter sets design.

Language: Английский

Citations

0
Surgery scheduling based on large language models DOI
Fang Wan, Tao Wang, Kezhi Wang

et al.

Artificial Intelligence in Medicine, Journal Year: 2025, Volume and Issue: 166, P. 103151 - 103151

Published: May 7, 2025

Language: Английский

Citations

0
Machine learning driven global optimisation framework for analog circuit design DOI
Ria Rashid,

Komala Krishna,

Clint P. George

et al.

Microelectronics Journal, Journal Year: 2024, Volume and Issue: 151, P. 106362 - 106362

Published: Aug. 7, 2024

We propose a machine learning-driven optimisation framework for analog circuit design in this paper. Machine learning based global offline surrogate models, with the parameters as input, are built space circuits under study and used to guide algorithm towards an optimal design, resulting faster convergence reduced number of spice simulations. Multi-layer perceptron random forest regressors employed predict required specifications circuit. classifiers saturation condition each transistor validate proposed using three topologies—a bandgap reference, folded cascode operational amplifier, two-stage amplifier. The simulation results show better optimum values lower standard deviations fitness functions after convergence, reduction calls by 56%, 59%, 83% when compared approaches test cases considered study.

Language: Английский

Citations

1
AI-Assisted Circuit Design and Modeling DOI
Deepthi Amuru, Zia Abbas

Published: Oct. 17, 2024

Language: Английский

Citations

1
In-depth Multi-Objective charge pump design space exploration towards the automatic synthesis of power management units DOI
Carlos Santos, Jorge Fernandes, Marcelino Santos

et al.

AEU - International Journal of Electronics and Communications, Journal Year: 2024, Volume and Issue: 177, P. 155205 - 155205

Published: Feb. 23, 2024

Language: Английский

Citations

0
Optimization Process by Generalized Genetic Algorithm DOI Open Access

Alexander Zemliak,

Andrei Osadchuk,

Christian Serrano

et al.

WSEAS TRANSACTIONS ON CIRCUITS AND SYSTEMS, Journal Year: 2024, Volume and Issue: 23, P. 39 - 52

Published: April 18, 2024

The approach developed earlier, based on generalized optimization, was successfully applied to the problem of designing electronic circuits using deterministic optimization methods. In this paper, a similar is extended optimizing genetic algorithm (GA) as main method. fundamental element an artificially introduced control vector that generates many different strategies within process and determines number independent variables problem, well length structure chromosomes in GA. case, GA forms set populations defined by fitness function specified ways depending strategy chosen framework idea optimization. allows you generate strategies, build composite significantly increase accuracy resulting solution. This, turn, makes it possible reduce generations required during operation processor time 3–5 orders magnitude when solving circuit compared traditional An analysis procedure for some showed effectiveness approach. obtained results prove modification overcome premature convergence minimization 3-4 magnitude.

Language: Английский

Citations

0
Optimal CMOS Analog Amplifier Circuit Design Using a Modified PSO for Consumer Electronic Applications DOI Creative Commons

Rajalaxmi Das,

Bishnu Prasad De, Sumalya Ghosh

et al.

Journal of Electrical and Computer Engineering, Journal Year: 2024, Volume and Issue: 2024(1)

Published: Jan. 1, 2024

CMOS analog amplifier circuits are integral components in the signal‐processing stages of consumer electronics. They also find applications advanced imaging systems, augmented reality devices, smartphone audio applications, power management circuits, etc. The differential and two‐stage operational must be optimally designed for next‐generation electronics where speed sizing important constraints. This nonlinear constrained optimization problem can resolved using evolutionary techniques. article proposes an efficient design technique a circuit op‐amplifier. A well‐known is particle swarm (PSO). PSO robust method but may suffer from premature convergence slow speed. used here modified version PSO, named Levy flight, function, Singer map utilized (LPSPSO). In flight enhance exploration capability improve proposed reduces individual circuits’ area time while satisfying constraint. LPSPSO‐based results authenticated with SPICE. SPICE demonstrate that LPSPSO than formerly reported methods designing amplifiers terms MOS area, gain, dissipation,

Language: Английский

Citations

0