Competitive and collaborative strategies and topologies are among the most essential
concepts and greatly influence the optimization ability of population-based optimization …

This paper introduces a dynamic comprehensive multi-swarm gravitational search algorithm
with non-uniform mutation (cdGSA-2m) for optimizing hybrid active power filter (HAPF) …

ABSTRACT Harris Hawks Optimization (HHO) is a novel meta-heuristic algorithm that
imitates the predation characteristics of Harris Hawk and combines Lévy flight to solve …

The appropriate position and sizing of soft open points (SOPs) for reducing the detrimental
impact of electric vehicle (EV) load penetration and renewable energy (RE) variation on …

The Honey Badger Algorithm (HBA) is a novel meta-heuristic algorithm proposed recently
inspired by the foraging behavior of honey badgers. The dynamic search behavior of honey …

Abstract The Squirrel Search Algorithm (SSA) is an innovative optimization method that
takes inspiration from the foraging and gliding behavior of squirrels. Despite its simple …

A novel approach called hybrid evolutionary GWO (HE-GWO) is proposed to enhance the
effectiveness of the grey wolf optimizer (GWO) for handling dynamic landscapes. This …

Optical 3D detection technology has a wide range of applications in industrial detection,
agricultural production, and so on. Its advantages are non-contact, efficiency, and high …

This paper discusses the use of an improved random forest regression algorithm (RFRA) to
predict the total score of powerlifters. The paper collected the age, weight, and total score of …

Feature selection is a vital technique that enhances the quality of input datasets by reducing
redundancy, noise, and inaccuracies without compromising classifier accuracy. The …