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 …

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 …

A local constrained multiobjective Bayesian optimization (LoCoMOBO) method is introduced
to address automatic sizing and tradeoff exploration for analog and RF integrated circuits …

Robust optimization of complex networks has attracted much attention in recent years.
Although existing methods have been successful in achieving promising results, the …

In this paper, a Bayesian optimization approach is proposed for yield optimization of analog
and SRAM circuits. Gaussian process (GP) regression is employed to predict the yield over …

Analog/mixed-signal circuit design is one of the most complex and time-consuming stages in
the whole chip design process. Due to various process, voltage, and temperature (PVT) …

Existing radio frequency (RF) integrated circuit (IC) design automation methods focus on the
synthesis of circuits at a few GHz, typically less than 10 GHz. That framework is difficult to …

This paper proposes a Bayesian Optimization (BO) algorithm to handle large-scale analog
circuit sizing. The proposed approach uses a number of separate Gaussian Process (GP) …

In engineering design and manufacturing optimization, the trade-off between a quality
performance metric and the probability of satisfying all performance specifications (yield) of …