Abstract Heap-Based Optimizer (HBO) is one of the recently proposed metaheuristic
algorithms inspired by the corporate rank hierarchy. In this study, opposition and Cauchy …

Optimal selection of passive components is one of the most crucial design steps in analog
active filter design problems. As the number of possible combinations increases, it becomes …

In the present investigation two smart prediction tools, namely the general regression neural
network (GRNN) and multiple regression analysis (MRA) models were developed to predict …

When the state of the sensors of the wind turbine, especially the anemometer, is abnormal, it
will affect the correctness of other parameters of the whole power system. To recognize and …

The selection of the correct values for passive elements, resistors, and capacitors, is an
important task in analog active filter design. The classic method of choosing passive …

The pressure pulsation in the turbine draft tube causes vibration and active oscillation in the
unit, which is a technical limitation that restricts the allowable area of unit operation. In this …

In this paper, a learning automata (LA) method is introduced based on dimensionality
ranking (called DRLA), and its application for designing analog active filters is investigated …

This article proposes an efficient approach to design two different CMOS analogue circuits,
namely p-channel Metal-Oxide-Semiconductor (PMOS) driver-based two-stage comparator …

This paper discusses the optimal design and optimization of an analog active filter using the
hybrid HPSGWO optimization algorithm, which is a combination of Particle Swarm …

Automatic design of analog circuits is an important application and research field of
evolutionary computation. Although evolutionary circuit design has important exploration …