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 …

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

Millimeter-wave and Terahertz communications consist of complex analog and mixed-signal
transceivers where overall system performance is often limited by the weakest performing …

Genetic algorithms have become increasingly important for researchers in resolving difficult
problems because they can provide feasible solutions in limited time. Using genetic …

The design of microwave integrated circuits is complex and has traditionally been done by
highly experienced designers. Although several electronic design automation (EDA) tools …

Swarm intelligence (SI) techniques are more and more used by analog designers in order to
optimally size their circuits/systems' performances. A particular interest is accorded to the …

A new approach for automatic synthesis of analog electronic circuits based on grammatical
evolution is presented. Grammatical evolution is an evolutionary algorithm based on …

There are a number of books available in the market describing electrical engineering
optimization concepts. Most are primarily concerned with the mathematical theorems, which …

The feasible solutions provided by a multi-objective evolutionary algorithm (MOEA) in the
optimal sizing of analog integrated circuits (ICs) can be very sensitive to process variations …

The superior performance of evolutionary multitasking (EMT) algorithms is largely owing to
the potential synergy between tasks. Current EMT algorithms only involve a unidirectional …