Today, intelligent optimization has become a science that few researchers have not used in
dealing with problems in their field. Diversity and flexibility have made the use, efficiency …

Many new algorithms have been proposed to solve the mathematical equations formulated
to describe the real-world problems. But there still does not exist one algorithm that could …

In this work, an optimization technique ie diversity-driven multi-parent evolutionary algorithm
with adaptive non-uniform mutation (DDMPEA-ANUM) has been used to design a digital IIR …

An accurate prediction of short-term and long-term wind speed is necessary in order to
integrate wind energy into large-scale grid power. However, wind speed presents diverse …

This paper introduces a robust model predictive controller (MPC) to operate an automatic
voltage regulator (AVR). The design strategy tends to handle the uncertainty issue of the …

The imitating behaviour of the slime mould algorithm (SMA) supports the collective
efficiency, whereas the evolutionary algorithm (EA) smoothens the global effectiveness …

Accurate tool condition monitoring (TCM) is an important part for ensuring milling quality.
However, due to the cost of TCM experiment, there are few labelled and a lot of unlabelled …

The development of cutting-edge monitoring technologies such as embedded devices and
sensors has become necessary to ensure an industrial intelligence in modern …

A unique hybrid meta-heuristic combining the salp swarm algorithm and the sine cosine
algorithm (SSCA) is established in this study to improve convergence speed while …

The appropriate selection of parameters of photovoltaic models is necessary for an accurate
evaluation, control, and optimization of photovoltaic systems. Even though various strategies …