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Bald eagle search algorithm: a comprehensive review with its variants and applications
MA El-Shorbagy, A Bouaouda, HA Nabwey… - Systems Science & …, 2024 - Taylor & Francis
Bald Eagle Search (BES) is a recent and highly successful swarm-based metaheuristic
algorithm inspired by the hunting strategy of bald eagles in capturing prey. With its …
algorithm inspired by the hunting strategy of bald eagles in capturing prey. With its …
[HTML][HTML] A quasi-oppositional learning of updating quantum state and Q-learning based on the dung beetle algorithm for global optimization
Z Wang, L Huang, S Yang, D Li, D He… - Alexandria Engineering …, 2023 - Elsevier
There are many tricky optimization problems in real life, and metaheuristic algorithms are the
most effective way to solve optimization problems at a lower cost. The dung beetle …
most effective way to solve optimization problems at a lower cost. The dung beetle …
An optimal sizing framework of a microgrid system with hydrogen storage considering component availability and system scalability by a novel approach based on …
A Bouaouda, Y Sayouti - Journal of Energy Storage, 2024 - Elsevier
This paper introduces an innovative framework for optimizing a hybrid photovoltaic-wind
system with integrated hydrogen storage, taking into account component availability and …
system with integrated hydrogen storage, taking into account component availability and …
An in-depth survey of the artificial gorilla troops optimizer: outcomes, variations, and applications
AG Hussien, A Bouaouda, A Alzaqebah… - Artificial Intelligence …, 2024 - Springer
A recently developed algorithm inspired by natural processes, known as the Artificial Gorilla
Troops Optimizer (GTO), boasts a straightforward structure, unique stabilizing features, and …
Troops Optimizer (GTO), boasts a straightforward structure, unique stabilizing features, and …
A CNN-based model to count the leaves of rosette plants (LC-Net)
Plant image analysis is a significant tool for plant phenoty**. Image analysis has been
used to assess plant trails, forecast plant growth, and offer geographical information about …
used to assess plant trails, forecast plant growth, and offer geographical information about …
An enhanced beluga whale optimization algorithm for engineering optimization problems
This paper presents an enhanced beluga whale optimization algorithm (EBWOA) for
engineering optimization problems. To enhance the performance and address the …
engineering optimization problems. To enhance the performance and address the …
Adapting the pre-trained convolutional neural networks to improve the anomaly detection and classification in mammographic images
Mortality from breast cancer (BC) is among the top causes of cancer death in women. BC
can be effectively treated when diagnosed early, improving the likelihood that a patient will …
can be effectively treated when diagnosed early, improving the likelihood that a patient will …
[HTML][HTML] Marine diesel engine piston ring fault diagnosis based on LSTM and improved beluga whale optimization
B Gao, J Xu, Z Zhang, Y Liu, X Chang - Alexandria Engineering Journal, 2024 - Elsevier
The operational state of piston rings in marine diesel engines significantly influences the
overall performance of the machinery. However, traditional data-driven diagnosis methods …
overall performance of the machinery. However, traditional data-driven diagnosis methods …
A novel hybrid Artificial Gorilla Troops Optimizer with Honey Badger Algorithm for solving cloud scheduling problem
Cloud computing has revolutionized the way a variety of ubiquitous computing resources
are provided to users with ease and on a pay-per-usage basis. Task scheduling problem is …
are provided to users with ease and on a pay-per-usage basis. Task scheduling problem is …
Boosting manta rays foraging optimizer by trigonometry operators: a case study on medical dataset
The selection of attributes has become a crucial research focus in the domains of pattern
recognition, machine learning, and big data analysis. In essence, the contemporary …
recognition, machine learning, and big data analysis. In essence, the contemporary …