Renewable energy resources are a one-stop solution for major issues that include drastic
climate change, environmental pollution, and the depletion of fossil fuels. Renewable …

In this paper, a review of Metaheuristic Optimization Techniques (MOT) which are currently
in use for optimization in a vast range of problems, is presented. MOT are known for their …

Optimal planning of integration the Photovoltage Distributed Generation (PV-DG) and
DSTATCOM is a crucial task due to the stochastic variations of PV output power and the load …

The rapid growth in biomedical datasets has generated high dimensionality features that
negatively impact machine learning classifiers. In machine learning, feature selection (FS) is …

This paper comprehensively reviews the spiral dynamics optimization (SDO) algorithm and
investigates its characteristics. SDO algorithm is one of the most straightforward physics …

The prediction of Li-ion battery remaining useful life (RUL) is primarily used to prevent
battery health damage caused by overcharging and discharging Li-ion batteries, which is …

Precast concrete component utilization for building projects has been considered to become
the leading trend in construction industry around the world. The logistics costs for precast …

Henry Gas Solubility Optimization Algorithm (HGSO) is a physical-based algorithm based on
Henry's Law and simulates the process that the solubility of gas in liquid changes with …

Abstract The Honey Badger Algorithm (HBA) is a new swarm intelligence optimization
algorithm by simulating the foraging behavior of honey badgers in nature. To further improve …

Clinical diagnosis and early intervention employ pedobarometry, which analyzes gait,
posture, and foot health. Athletes utilize smart insoles to track step count, distance, and other …