Moth flame optimization: theory, modifications, hybridizations, and applications
The Moth flame optimization (MFO) algorithm belongs to the swarm intelligence family and is
applied to solve complex real-world optimization problems in numerous domains. MFO and …
applied to solve complex real-world optimization problems in numerous domains. MFO and …
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 …
An optimized deep learning architecture for breast cancer diagnosis based on improved marine predators algorithm
EH Houssein, MM Emam, AA Ali - Neural Computing and Applications, 2022 - Springer
Breast cancer is the second leading cause of death in women; therefore, effective early
detection of this cancer can reduce its mortality rate. Breast cancer detection and …
detection of this cancer can reduce its mortality rate. Breast cancer detection and …
Boosted ANFIS model using augmented marine predator algorithm with mutation operators for wind power forecasting
There are several major available renewable energies, such as wind power which can be
considered one of the most potential energy resources. Thus, wind power is a vital green …
considered one of the most potential energy resources. Thus, wind power is a vital green …
An improved African vultures optimization algorithm using different fitness functions for multi-level thresholding image segmentation
FS Gharehchopogh, T Ibrikci - Multimedia Tools and Applications, 2024 - Springer
Image segmentation is one of the most significant and required procedures in pre-
processing and analyzing images. Metaheuristic optimization algorithms are used to solve a …
processing and analyzing images. Metaheuristic optimization algorithms are used to solve a …
Tuning machine learning models using a group search firefly algorithm for credit card fraud detection
Recent advances in online payment technologies combined with the impact of the COVID-
19 global pandemic has led to a significant escalation in the number of online transactions …
19 global pandemic has led to a significant escalation in the number of online transactions …
Boosting COVID-19 image classification using MobileNetV3 and aquila optimizer algorithm
Currently, the world is still facing a COVID-19 (coronavirus disease 2019) classified as a
highly infectious disease due to its rapid spreading. The shortage of X-ray machines may …
highly infectious disease due to its rapid spreading. The shortage of X-ray machines may …
Improved manta ray foraging optimization for multi-level thresholding using COVID-19 CT images
EH Houssein, MM Emam, AA Ali - Neural Computing and Applications, 2021 - Springer
Abstract Coronavirus disease 2019 (COVID-19) is pervasive worldwide, posing a high risk to
people's safety and health. Many algorithms were developed to identify COVID-19. One way …
people's safety and health. Many algorithms were developed to identify COVID-19. One way …
An efficient marine predators algorithm for feature selection
DS Abd Elminaam, A Nabil, SA Ibraheem… - IEEE …, 2021 - ieeexplore.ieee.org
Feature Selection (FS) reduces the number of features by removing unnecessary,
redundant, and noisy information while keeping a relatively decent classification accuracy …
redundant, and noisy information while keeping a relatively decent classification accuracy …
An improved marine predators algorithm for shape optimization of developable Ball surfaces
G Hu, X Zhu, G Wei, CT Chang - Engineering Applications of Artificial …, 2021 - Elsevier
The shape optimization of developable surfaces is a pivotal and knotty technique in
CAD/CAM and used in many product manufacturing planning operations, eg, for ships …
CAD/CAM and used in many product manufacturing planning operations, eg, for ships …