Greylag goose optimization: nature-inspired optimization algorithm
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 …
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
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 …
quiet spells. These changes can dramatically affect wind power system performance and …
A binary waterwheel plant optimization algorithm for feature selection
The vast majority of today's data is collected and stored in enormous databases with a wide
range of characteristics that have little to do with the overarching goal concept. Feature …
range of characteristics that have little to do with the overarching goal concept. Feature …
Waterwheel plant algorithm: a novel metaheuristic optimization method
AA Abdelhamid, SK Towfek, N Khodadadi… - Processes, 2023 - mdpi.com
Attempting to address optimization problems in various scientific disciplines is a
fundamental and significant difficulty requiring optimization. This study presents the …
fundamental and significant difficulty requiring optimization. This study presents the …
Classification of monkeypox images based on transfer learning and the Al-Biruni Earth Radius Optimization algorithm
The world is still trying to recover from the devastation caused by the wide spread of COVID-
19, and now the monkeypox virus threatens becoming a worldwide pandemic. Although the …
19, and now the monkeypox virus threatens becoming a worldwide pandemic. Although the …
Green hydrogen production ensemble forecasting based on hybrid dynamic optimization algorithm
Solar-powered water electrolysis can produce clean hydrogen for sustainable energy
systems. Accurate solar energy generation forecasts are necessary for system operation and …
systems. Accurate solar energy generation forecasts are necessary for system operation and …
Breast Cancer Classification Depends on the Dynamic Dipper Throated Optimization Algorithm
According to the American Cancer Society, breast cancer is the second largest cause of
mortality among women after lung cancer. Women's death rates can be decreased if breast …
mortality among women after lung cancer. Women's death rates can be decreased if breast …
A recommendation system for electric vehicles users based on restricted Boltzmann machine and waterwheel plant algorithms
Ensuring reliable and easily accessible charging infrastructure becomes crucial as more
people adopt electric vehicles. This study introduces a recommendation system designed to …
people adopt electric vehicles. This study introduces a recommendation system designed to …
[HTML][HTML] Optimized ensemble model for wind power forecasting using hybrid whale and dipper-throated optimization algorithms
Introduction: Power generated by the wind is a viable renewable energy option. Forecasting
wind power generation is particularly important for easing supply and demand imbalances …
wind power generation is particularly important for easing supply and demand imbalances …
Diagnosis of monkeypox disease using transfer learning and binary advanced dipper throated optimization algorithm
The virus that causes monkeypox has been observed in Africa for several years, and it has
been linked to the development of skin lesions. Public panic and anxiety have resulted from …
been linked to the development of skin lesions. Public panic and anxiety have resulted from …