Augmented weighted K-means grey wolf optimizer: An enhanced metaheuristic algorithm for data clustering problems
This study presents the K-means clustering-based grey wolf optimizer, a new algorithm
intended to improve the optimization capabilities of the conventional grey wolf optimizer in …
intended to improve the optimization capabilities of the conventional grey wolf optimizer in …
Optimization design of brushless DC motor based on improved JAYA algorithm
Y Cheng, X Lyu, S Mao - Scientific Reports, 2024 - nature.com
Brushless direct current motor is widely used in industrial production because of its simple
structure, wide speed range and low noise. To improve the operation efficiency of brushless …
structure, wide speed range and low noise. To improve the operation efficiency of brushless …
Research on improved partial format MFAC greenhouse temperature control method based on low energy consumption optimization
B Wang, X Li, M Xu, L Wang - Computers and Electronics in Agriculture, 2024 - Elsevier
Temperature is critical to the growth of crops in agricultural greenhouses. Thus, designing a
greenhouse temperature controller that maximizes energy savings while maintaining control …
greenhouse temperature controller that maximizes energy savings while maintaining control …
Optimizing energy efficiency: predicting heating load with a machine learning approach and meta-heuristic algorithms
Y Feng - Multiscale and Multidisciplinary Modeling, Experiments …, 2024 - Springer
This study responds to the urgent demand for accurate energy consumption forecasts and
the strategic assessment of retrofit methodologies, aiming to achieve energy conservation …
the strategic assessment of retrofit methodologies, aiming to achieve energy conservation …