Marine predators algorithm: A review

MA Al-Betar, MA Awadallah, SN Makhadmeh… - … Methods in Engineering, 2023 - Springer
Abstract Marine Predators Algorithm (MPA) is a recent nature-inspired optimizer stemmed
from widespread foraging mechanisms based on Lévy and Brownian movements in ocean …

[HTML][HTML] Marine predators algorithm: A comprehensive review

S Mugemanyi, Z Qu, FX Rugema, Y Dong… - Machine Learning with …, 2023 - Elsevier
Marine predators algorithm (MPA) is a recently proposed metaheuristic algorithm that
mimics the marine predators behavior when attacking their preys. Recently, the MPA has …

An innovative converterless solar PV control strategy for a grid connected hybrid PV/wind/fuel-cell system coupled with battery energy storage

MM Gulzar, A Iqbal, D Sibtain, M Khalid - IEEE Access, 2023 - ieeexplore.ieee.org
The proposed work addresses the modeling, control, energy management and operation of
hybrid grid connected system with wind-PV-Battery Energy Storage System (BESS) …

Hybrid power management and control of fuel cells‐battery energy storage system in hybrid electric vehicle under three different modes

Y Belkhier, A Oubelaid, RN Shaw - Energy Storage, 2024 - Wiley Online Library
In most situations, fuel cells (FCs) are insufficient to supply power demands in hybrid electric
vehicles (HEVs), thus battery storage systems (BSSs) are used to make the system more …

A novel hybrid GWO–PSO-based maximum power point tracking for photovoltaic systems operating under partial shading conditions

S Chtita, S Motahhir, A El Hammoumi, A Chouder… - Scientific Reports, 2022 - nature.com
One of the major challenges in photovoltaic (PV) systems is extracting the maximum power
from the PV array, especially when they operate under partial shading conditions (PSCs). To …

An automatic arrhythmia classification model based on improved marine predators algorithm and convolutions neural networks

EH Houssein, M Hassaballah, IE Ibrahim… - Expert Systems with …, 2022 - Elsevier
Abstract Preparation of Convolutional Neural Networks (CNNs) for classification purposes
depends heavily on the knowledge of hyper-parameters tuning. This study aims, in particular …

[HTML][HTML] Energy management system for hybrid PV/wind/battery/fuel cell in microgrid-based hydrogen and economical hybrid battery/super capacitor energy storage

Y Sahri, Y Belkhier, S Tamalouzt, N Ullah, RN Shaw… - Energies, 2021 - mdpi.com
The present work addresses the modelling, control, and simulation of a microgrid integrated
wind power system with Doubly Fed Induction Generator (DFIG) using a hybrid energy …

An improved fuzzy logic control-based MPPT method to enhance the performance of PEM fuel cell system

M Aly, H Rezk - Neural Computing and Applications, 2022 - Springer
Recently, wide installations of photovoltaic (PV) systems have been achieved in the
electrical power systems. However, fluctuated output power of the PV generation and/or …

An improved marine predators algorithm tuned data-driven multiple-node hormone regulation neuroendocrine-PID controller for multi-input–multi-output gantry crane …

MZ Mohd Tumari, MA Ahmad, MH Suid… - Journal of Low …, 2023 - journals.sagepub.com
Conventionally, researchers have favored the model-based control scheme for controlling
gantry crane systems. However, this method necessitates a substantial investment of time …

[HTML][HTML] A marine-predator-algorithm-based optimum FOPID controller for enhancing the stability and transient response of automatic voltage regulators

AM Noman, SZ Almutairi, M Aly, MH Alqahtani… - Fractal and …, 2023 - mdpi.com
An improved design optimization method for fractional-order-based proportional integral
derivative (FOPID) controllers is proposed in this paper to enhance the stability and transient …