Differential evolution (DE) is a popular evolutionary algorithm inspired by Darwin's theory of
evolution and has been studied extensively to solve different areas of optimisation and …

Since permanent magnet direct current (DC) motors are mainly used in various industrial
automation applications, the demand for electric motors is increasing rapidly. However, in …

Due to the increment in hand motion types, electromyography (EMG) features are
increasingly required for accurate EMG signals classification. However, increasing in the …

Feature selection is a significant task for data mining and pattern recognition. It aims to
select the optimal feature subset with the minimum redundancy and the maximum …

Uncertainties in the plant model parameters and perturbations in the controller gains
imposed by implementation errors represent a challenge to ensure robust stability and …

In recent decades, researches on optimizing the parameter of the artificial neural network
(ANN) model has attracted significant attention from researchers. Hybridization of superior …

Resilient design of robust multi-objectives PID controllers via the D-decomposition method is
presented in this paper for automatic voltage regulators (AVRs). The stabilizing interval of …

Abstract The Proportional-Integral-Derivative (PID) controller is a key component in most
engineering applications. The main disadvantage of PID is the selection of the best values …

Genetic learning particle swarm optimization (GL-PSO) improves the performance of particle
swarm optimization (PSO) by breeding superior exemplars to guide the motion of particles …

The selection of an optimal feature subset from all available features in the data is a vital
task of data pre-processing used for several purposes such as the dimensionality reduction …