This paper focuses on the role of the longitudinal spacing between the auxiliary gate and
control gate in boosting the performance of an ultrascaled junctionless carbon nanotube …

The evolutionary algorithm called non-dominated sorting genetic algorithm (NSGA-II) is
applied herein in the optimisation of operational transconductance amplifiers. NSGA-II is …

The conventional approach to implementing analogue integrated circuits in nano‐scale
complementary metal oxide semiconductor (CMOS) technologies relies basically on circuit …

Due to the manufacturing limitations, the task of optimal analog active filter design by hand is
very difficult. Evolutionary computation may be a competent implement for automatic …

Computationally expensive simulations make challenges for analog/RF circuit and
electromagnetic device design automation, where efficiency is a key issue. Both surrogate …

Traditional sizing approaches for analogue integrated circuits (ICs) consisting of metal-oxide-
semiconductor field-effect transistors manipulate real values for the widths (W) and lengths …

The optimal sizing of analog integrated circuits (ICs) by evolutionary algorithms (EAs) has
the challenge of reducing the search spaces of the design variables, guaranteeing the …

In this paper we deal with analog active filter design using discrete components taking into
consideration tolerance effects. Sensitivity analysis is performed to determine the most …

This research presents various intelligent optimisation methods which are: genetic algorithm
(GA), particle swarm optimisation (PSO), artificial bee colony algorithm (ABCA), firefly …

Automatic biasing and sizing of analog integrated circuits (ICs) remains an open challenge.
This Thesis introduces an automatic technique for sizing analog ICs through combining multi …