Real-world engineering design problems are widespread in various research disciplines in
both industry and industry. Many optimization algorithms have been employed to address …

Climate change is encouraging a growing interest worldwide to increase renewable
distributed generation (DG) integration into the power grid. DG is free from greenhouse gas …

The precise temperature distribution measurement is crucial in many industrial fields, where
ultrasonic tomography (UT) has broad application prospects and significance. In order to …

Continuous ant colony optimization was a population-based heuristic search algorithm
inspired by the pathfinding behavior of ant colonies with a simple structure and few control …

This paper proposes a solution for the distribution network reconfiguration (DNR) problem
with distributed generation (DG) based on the parallel slime mould algorithm (PSMA). Firstly …

In this article, a novel astrophysics-inspired meta-heuristic optimization algorithm, namely
Transit Search (TS) is proposed based on a famous exoplanet exploration method. More …

Feature selection (FS) is a popular data pre-processing technique in machine learning to
extract the optimal features to maintain or increase the classification accuracy of the dataset …

The equilibrium optimizer (EO) is a recently proposed physics-based metaheuristic
algorithm inspired by the dynamic mass balance on a control volume. However, EO may …

Due to the rapid industrialization and the development of the economy in each country, the
demand for energy is increasing rapidly. The coal mines have to pace up the mining …

The accurate parameter extraction of photovoltaic (PV) module is pivotal for determining and
optimizing the energy output of PV systems into electric power networks. Consequently, a …