Greylag goose optimization: nature-inspired optimization algorithm

ESM El-Kenawy, N Khodadadi, S Mirjalili… - Expert Systems with …, 2024 - Elsevier
Nature-inspired metaheuristic approaches draw their core idea from biological evolution in
order to create new and powerful competing algorithms. Such algorithms can be divided into …

A novel bio-inspired optimization algorithm design for wind power engineering applications time-series forecasting

FK Karim, DS Khafaga, MM Eid, SK Towfek… - Biomimetics, 2023 - mdpi.com
Wind patterns can change due to climate change, causing more storms, hurricanes, and
quiet spells. These changes can dramatically affect wind power system performance and …

Advanced meta-heuristic algorithm based on Particle Swarm and Al-biruni Earth Radius optimization methods for oral cancer detection

H Myriam, AA Abdelhamid, ESM El-Kenawy… - IEEE …, 2023 - ieeexplore.ieee.org
Oral cancer is a deadly form of cancerous tumor that is widely spread in low and middle-
income countries. An early and affordable oral cancer diagnosis might be achieved by …

Classification of diabetes using feature selection and hybrid Al-Biruni earth radius and dipper throated optimization

AA Alhussan, AA Abdelhamid, SK Towfek, A Ibrahim… - Diagnostics, 2023 - mdpi.com
Introduction: In public health, machine learning algorithms have been used to predict or
diagnose chronic epidemiological disorders such as diabetes mellitus, which has reached …

Green hydrogen production ensemble forecasting based on hybrid dynamic optimization algorithm

AA Alhussan, ESM El-Kenawy, MA Saeed… - Frontiers in Energy …, 2023 - frontiersin.org
Solar-powered water electrolysis can produce clean hydrogen for sustainable energy
systems. Accurate solar energy generation forecasts are necessary for system operation and …

Renewable Energy Forecasting Based on Stacking Ensemble Model and Al-Biruni Earth Radius Optimization Algorithm

AA Alghamdi, A Ibrahim, ESM El-Kenawy… - Energies, 2023 - mdpi.com
Introduction: Wind speed and solar radiation are two of the most well-known and widely
used renewable energy sources worldwide. Coal, natural gas, and petroleum are examples …

Meta-heuristic optimization of LSTM-based deep network for boosting the prediction of monkeypox cases

MM Eid, ESM El-Kenawy, N Khodadadi, S Mirjalili… - Mathematics, 2022 - mdpi.com
Recent technologies such as artificial intelligence, machine learning, and big data are
essential for supporting healthcare monitoring systems, particularly for monitoring …

Classification of breast cancer using transfer learning and advanced al-biruni earth radius optimization

AA Alhussan, AA Abdelhamid, SK Towfek, A Ibrahim… - Biomimetics, 2023 - mdpi.com
Breast cancer is one of the most common cancers in women, with an estimated 287,850 new
cases identified in 2022. There were 43,250 female deaths attributed to this malignancy. The …

A Contemporary Systematic Review on Meta-heuristic Optimization Algorithms with Their MATLAB and Python Code Reference

R Salgotra, P Sharma, S Raju, AH gandomi - Archives of Computational …, 2024 - Springer
Optimization is a method which is used in every field, such as engineering, space, finance,
fashion market, mass communication, travelling, and also in our daily activities. In every …

Improved dipper-throated optimization for forecasting metamaterial design bandwidth for engineering applications

AH Alharbi, AA Abdelhamid, A Ibrahim, SK Towfek… - Biomimetics, 2023 - mdpi.com
Metamaterials have unique physical properties. They are made of several elements and are
structured in repeating patterns at a smaller wavelength than the phenomena they affect …