The application of artificial intelligence in everyday life is becoming all-pervasive and
unavoidable. Within that vast field, a special place belongs to biomimetic/bio-inspired …

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

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 …

Together with the increase in electronic circuit complexity, the design and optimization
processes have to be automated with high accuracy. Predicting and improving the design …

The developing optimization algorithms provide promising solutions for speeding up analog
integrated circuit sizing. However, the optimization of complicated circuits whose solution …

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 …

In this paper, we propose EasyBO, an Efficient ASYn-chronous Batch Bayesian Optimization
approach for analog circuit synthesis. In this proposed approach, instead of waiting for the …

In this paper, a hybrid population based meta-heuristic search algorithm named as
gravitational search algorithm (GSA) combined with particle swarm optimization (PSO)(GSA …

In this paper, an automatic design method based on a swarm intelligence approach for
CMOS analog integrated circuit (IC) design is presented. The hybrid meta-heuristics …

Thanks to the enhanced computational capacity of modern computers, even sophisticated
analog/radio frequency (RF) circuit sizing problems can be solved via electronic design …