Marine predators algorithm: A review
Abstract Marine Predators Algorithm (MPA) is a recent nature-inspired optimizer stemmed
from widespread foraging mechanisms based on Lévy and Brownian movements in ocean …
from widespread foraging mechanisms based on Lévy and Brownian movements in ocean …
Advances in manta ray foraging optimization: A comprehensive survey
This paper comprehensively analyzes the Manta Ray Foraging Optimization (MRFO)
algorithm and its integration into diverse academic fields. Introduced in 2020, the MRFO …
algorithm and its integration into diverse academic fields. Introduced in 2020, the MRFO …
Precise modeling of PEM fuel cell using a novel Enhanced Transient Search Optimization algorithm
This paper introduces a novel enhancement to the Transient Search Optimization (TSO)
algorithm to estimate an accurate electrical model of the proton exchange membrane fuel …
algorithm to estimate an accurate electrical model of the proton exchange membrane fuel …
Identifying the PEM fuel cell parameters using artificial rabbits optimization algorithm
The artificial rabbits optimization (ARO) algorithm is proposed in this article to find the
optimum values for uncertain parameters for the proton exchange membrane fuel cell …
optimum values for uncertain parameters for the proton exchange membrane fuel cell …
A modified slime mold algorithm for parameter identification of hydrogen-powered proton exchange membrane fuel cells
In the quest for sustainable and efficient energy solutions, hydrogen fuel cells emerge as a
beacon of hope, offering a promising pathway towards a greener future. Accurate …
beacon of hope, offering a promising pathway towards a greener future. Accurate …
An innovative approach for mathematical modeling and parameter estimation of PEM fuel cells based on iterative Lambert W function
In the literature, identifying the parameters of proton exchange membrane fuel cells
(PEMFCs) relies on minimizing the difference between measured and simulated voltage …
(PEMFCs) relies on minimizing the difference between measured and simulated voltage …
A new optimum technique for parameter identification of the proton exchange membrane fuel cells based on improved remora optimizer
M Hou, Y Li, F Peng… - Energy Sources, Part A …, 2023 - Taylor & Francis
The present study proposes a new parameter estimation technique for undefined
parameters of proton exchange membrane fuel cell (PEMFC) stack models. To provide an …
parameters of proton exchange membrane fuel cell (PEMFC) stack models. To provide an …
Application of hybrid chaotic particle swarm optimization and slime mould algorithm to optimally estimate the parameter of fuel cell and solar PV system
Through the use of fuel cells and photovoltaic (PV) solar cells, green energy has become
one of the most popular developments in electricity generation in recent years. Accurate …
one of the most popular developments in electricity generation in recent years. Accurate …
PEM fuel cells: Two novel approaches for mathematical modeling and parameter estimation
Abstract Proton Exchange Membrane Fuel Cells (PEMFCs) voltage-current characteristics
are typically employed in PEMFC modeling and parameter estimation. The inverse current …
are typically employed in PEMFC modeling and parameter estimation. The inverse current …
Parameter identification of proton exchange membrane fuel cell based on hunger games search algorithm
This paper presents a novel minimum seeking algorithm referred to as the Hunger Games
Search (HGS) algorithm. The HGS is used to obtain optimal values in the model describing …
Search (HGS) algorithm. The HGS is used to obtain optimal values in the model describing …