A comprehensive and comparative review on parameter estimation methods for modelling proton exchange membrane fuel cell
Abstract Proton Exchange Membrane Fuel Cell (PEMFC) is one of the rising clean form of
energy. Due to various advantages of PEMFCs, they have widespread applications. The …
energy. Due to various advantages of PEMFCs, they have widespread applications. The …
Multi-verse optimizer algorithm: a comprehensive survey of its results, variants, and applications
L Abualigah - Neural Computing and Applications, 2020 - Springer
This review paper presents a comprehensive and full review of the so-called optimization
algorithm, multi-verse optimizer algorithm (MOA), and reviews its main characteristics and …
algorithm, multi-verse optimizer algorithm (MOA), and reviews its main characteristics and …
Multilevel threshold image segmentation for COVID-19 chest radiography: A framework using horizontal and vertical multiverse optimization
H Su, D Zhao, H Elmannai, AA Heidari… - Computers in Biology …, 2022 - Elsevier
COVID-19 is currently raging worldwide, with more patients being diagnosed every day. It
usually is diagnosed by examining pathological photographs of the patient's lungs. There is …
usually is diagnosed by examining pathological photographs of the patient's lungs. There is …
Enhanced multi-verse optimizer for task scheduling in cloud computing environments
Cloud computing is a trending technology that allows users to use computing resources
remotely in a pay-per-use model. One of the main challenges in cloud computing …
remotely in a pay-per-use model. One of the main challenges in cloud computing …
[HTML][HTML] Experimental modeling of PEM fuel cells using a new improved seagull optimization algorithm
This study proposes an optimal model to design and simulate the proton exchange
membrane fuel cell (PEMFC) systems. The purpose of this paper is to present an improved …
membrane fuel cell (PEMFC) systems. The purpose of this paper is to present an improved …
Optimization of PEMFC model parameters using meta-heuristics
The present study introduces an economical–functional design for a polymer electrolyte
membrane fuel cell system. To do so, after introducing the optimization problem and solving …
membrane fuel cell system. To do so, after introducing the optimization problem and solving …
An enhanced Archimedes optimization algorithm based on Local esca** operator and Orthogonal learning for PEM fuel cell parameter identification
Meta-heuristic optimization algorithms aim to tackle real world problems through maximizing
some specific criteria such as performance, profit, and quality or minimizing others such as …
some specific criteria such as performance, profit, and quality or minimizing others such as …
[HTML][HTML] A new technique for optimal estimation of the circuit-based PEMFCs using developed sunflower optimization algorithm
Z Yuan, W Wang, H Wang, N Razmjooy - Energy Reports, 2020 - Elsevier
This paper proposes a new methodology for the optimal selection of the parameters for
proton exchange membrane fuel cell (PEMFC) models. The proposed method is to optimal …
proton exchange membrane fuel cell (PEMFC) models. The proposed method is to optimal …
Support vector regression optimized by meta-heuristic algorithms for daily streamflow prediction
Accurate and reliable prediction of streamflow is vital to the optimization of water resources
management, reservoir flood operations, catchment, and urban water management. In this …
management, reservoir flood operations, catchment, and urban water management. In this …
Air pollution forecasting application based on deep learning model and optimization algorithm
Air pollution monitoring is constantly increasing, giving more and more attention to its
consequences on human health. Since Nitrogen dioxide (NO 2) and sulfur dioxide (SO 2) …
consequences on human health. Since Nitrogen dioxide (NO 2) and sulfur dioxide (SO 2) …