The reliability and effectiveness of today's electrical grids rely heavily on optimal reactive
power dispatch (ORPD). The ORPD problem gets more challenging to resolve in the setting …

Abstract Golden Jackal Optimization (GJO) is a recently developed nature-inspired algorithm
that is motivated by the collaborative hunting behaviours of the golden jackals in nature …

This study presents a new natural-based algorithm called the Humboldt Squid Optimization
Algorithm (HSOA). HSOA is inspired by Humboldt squids hunting, moving, and mating …

At present, the unstable availability of renewable energy and the unpredictability of its usage
have a negative impact on the reliable functioning of a microgrid. Furthermore, the presence …

Honey badger algorithm (HBA) is a recent swarm-based metaheuristic algorithm that excels
in simplicity and high exploitation capability. However, it suffers from some limitations …

The growing reliance on cloud services necessitates a heightened focus on security
measures to protect the integrity and privacy of crucial business data. Privacy preservation …

The detection of diseases in rice plants is an essential step in ensuring healthy crop growth
and maximizing yields. A real-time and accurate plant disease detection technique can …

This paper proposes a novel multi-hybrid algorithm named DHPN, using the best-known
properties of dwarf mongoose algorithm (DMA), honey badger algorithm (HBA), prairie dog …

This study aims to develop an AI-enhanced methodology for the expedited and accurate
diagnosis of Multiple Sclerosis (MS), a chronic disease affecting the central nervous system …

This paper introduces the Golf Sport Inspired Search (GSIS) algorithm as an evolutionary
search method for numerical optimization. Each solution is generated with the aid of the step …