Metamodel-based simulation optimization: A systematic literature review

JVS do Amaral, JAB Montevechi… - … Modelling Practice and …, 2022‏ - Elsevier
Over the past few decades, modeling, simulation, and optimization tools have received
attention for their ability to represent and improve complex systems. The use of …

Applications of artificial intelligence on the modeling and optimization for analog and mixed-signal circuits: A review

M Fayazi, Z Colter, E Afshari… - IEEE Transactions on …, 2021‏ - ieeexplore.ieee.org
Recently, there have been many studies attempting to take advantage of advancements in
Artificial Intelligence (AI) in Analog and Mixed-Signal (AMS) circuit design. Automated circuit …

An efficient Bayesian optimization approach for automated optimization of analog circuits

W Lyu, P Xue, F Yang, C Yan, Z Hong… - … on Circuits and …, 2017‏ - ieeexplore.ieee.org
The computation-intensive circuit simulation makes the analog circuit sizing challenging for
large-scale/complicated analog/RF circuits. A Bayesian optimization approach has been …

Multistage collaborative machine learning and its application to antenna modeling and optimization

Q Wu, H Wang, W Hong - IEEE Transactions on Antennas and …, 2020‏ - ieeexplore.ieee.org
A multistage collaborative machine learning (MS-CoML) method that can be applied to
efficient multiobjective antenna modeling and optimization is proposed. Machine learning …

An efficient analog circuit sizing method based on machine learning assisted global optimization

AF Budak, M Gandara, W Shi, DZ Pan… - IEEE Transactions on …, 2021‏ - ieeexplore.ieee.org
Machine learning-assisted global optimization methods for speeding up analog integrated
circuit sizing is attracting much attention. However, often a few typical analog integrated …

Comparative analysis of commonly used machine learning approaches for Li-ion battery performance prediction and management in electric vehicles

S Oyucu, F Doğan, A Aksöz, E Biçer - Applied Sciences, 2024‏ - mdpi.com
The significant role of Li-ion batteries (LIBs) in electric vehicles (EVs) emphasizes their
advantages in terms of energy density, being lightweight, and being environmentally …

An artificial neural network assisted optimization system for analog design space exploration

Y Li, Y Wang, Y Li, R Zhou, Z Lin - IEEE Transactions on …, 2019‏ - ieeexplore.ieee.org
This article presents a new analog circuit optimization system for automated sizing of analog
integrated circuits. It consists of a genetic algorithm (GA)-based global optimization engine …

Analog circuit sizing based on evolutionary algorithms and deep learning

A Lberni, MA Marktani, A Ahaitouf, A Ahaitouf - Expert Systems with …, 2024‏ - Elsevier
The use of machine learning-based techniques has expanded to many areas that require
optimization. One of such area is Integrated Circuit (IC) design and sizing optimization …

GASPAD: A general and efficient mm-wave integrated circuit synthesis method based on surrogate model assisted evolutionary algorithm

B Liu, D Zhao, P Reynaert… - IEEE Transactions on …, 2014‏ - ieeexplore.ieee.org
The design and optimization (both sizing and layout) of mm-wave integrated circuits (ICs)
have attracted much attention due to the growing demand in industry. However, available …

[HTML][HTML] Automated circuit sizing with multi-objective optimization based on differential evolution and Bayesian inference

C Vişan, O Pascu, M Stănescu, ED Şandru… - Knowledge-Based …, 2022‏ - Elsevier
Manual sizing of analog circuit specifications has become challenging owing to their ever-
increasing complexity. Especially for innovative, large-scale circuit designs with numerous …