Abstract African Vulture Optimization Algorithm (AVOA) is a nature-inspired optimization
technique that draws its inspiration from the behaviours and foraging patterns of African …

Since installing solid oxide fuel cells (SOFCs)-based systems suffers from high expenses,
accurate and reliable modeling is heavily demanded to detect any design issue prior to the …

The electrochemical model of a proton exchange membrane (PEM) electrolyzer consists of a
set of different unknown parameters, and identification of these parameters is needed …

Studies focusing on the optimization of waste-to-energy systems using metaheuristic particle
swarm optimization (PSO) are crucial in our pursuit of sustainable and renewable energy …

Optimization problems are prevalent in a variety of real-world applications, including
medical, engineering, chemical, and others, and must be precisely solved to enhance the …

Traditionally, the Economic Dispatch Model (EDM) integrating Combined Heat and Power
(CHP) units aims to reduce fuel costs by managing power-only, CHP, and heat-only units …

In this study, an improved African vulture optimization algorithm (IAVOA) that combines the
African vulture optimization algorithm (AVOA) with both quasi-oppositional learning and …

This study explores the performance evaluation of recently developed metaheuristic
optimization techniques used to address the sizing problem for five different stand-alone …

A recently developed algorithm inspired by natural processes, known as the Artificial Gorilla
Troops Optimizer (GTO), boasts a straightforward structure, unique stabilizing features, and …

This paper establishes a study for an accurate parameter modeling method for lithium-ion
batteries. A precise state space model generated from an equivalent electric circuit is used …