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 …

The computation-intensive circuit simulation makes the analog circuit sizing challenging for
large-scale/complicated analog/RF circuits. A Bayesian optimization approach has been …

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 …

Bayesian optimization is a promising methodology for analog circuit synthesis. However, the
sequential nature of the Bayesian optimization framework significantly limits its ability to fully …

Analog IC design relies on human experts to search for parameters that satisfy circuit
specifications with their experience and intuitions, which is highly labor intensive, time …

The discrepancy between post-layout and schematic simulation results continues to widen
in analog design due in part to the domination of layout parasitics. This paradigm shift is …

NH 3 synthesis from air pollutants (NO) exhibits an attractive alternative method to the
traditional Haber–Bosch industrial process. However, it is still challenging due to the kinetic …

Machine Learning (ML) has shown promising results in predicting the behavior of analog
circuits. However, in order to completely cover the design space for today's complicated …

This paper investigates a hybrid evolutionary-based design system for automated sizing of
analog integrated circuits (ICs). A new algorithm, called competitive co-evolutionary …

This book represents a compendium of fundamental problem formulations of analog design
centering and sizing. It provides a differentiated knowledge about the tasks of analog design …