Results 11 to 20 of about 8,000 (250)
Inverse Modeling of Seepage Parameters Based on an Improved Gray Wolf Optimizer
Applied Sciences, 2022 The seepage parameters of the dam body and dam foundation are difficult to determine accurately and quickly. Based on the inverse analysis, a Gray Wolf Optimizer (GWO) was introduced into this study to search the target hydraulic conductivity.
Yongkang Shu +5 more
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Journal of Engineered Fibers and Fabrics, 2022 Unevenness is one of the important parameters for evaluating yarn quality, but the current prediction accuracy of yarn unevenness is low. One of the important reasons is that there are few sample dataset for yarn unevenness prediction.
Hao Jiang +3 more
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IEEE Access, 2020 Based on the boost full bridge isolated converter (BFBIC) topology and considering the sudden changes in the external environment, a global maximum power point tracking (GMPPT) control strategy based on an improved gray wolf optimizer (IGWO) algorithm is
Ke Guo +4 more
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A Modified Grey Wolf Optimizer Based Data Clustering Algorithm
Applied Artificial Intelligence, 2021 Data clustering is an important data analysis and data mining tool in many fields such as pattern recognition and image processing. The goal of data clustering is to optimally organize similar objects into clusters.
Ramin Ahmadi +2 more
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Energies, 2022 Economic load dispatch (ELD) provides significant benefits to the operation of the power system. It appears to be a complex nonconvex optimization problem subject to several equal and unequal constraints.
Ali S. Alghamdi
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Prediction of Blasting Fragmentation Based on GWO-ELM
Shock and Vibration, 2022 Aiming at the complex nonlinear relationship among factors affecting blasting fragmentation, the input weight and hidden layer threshold of ELM (extreme learning machine) were optimized by gray wolf optimizer (GWO) and the prediction model of GWO-ELM ...
Zhengzhao Jia +3 more
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A New Hybrid Filter-Wrapper Feature Selection using Equilibrium Optimizer and Simulated Annealing [PDF]
Journal of Mahani Mathematical Research, 2023 Data dimensions and networks have grown exponentially with the Internet and communications. The challenge of high-dimensional data is increasing for machine learning and data science.
Mohammad Ansari Shiri +2 more
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GWO-based estimation of input-output parameters of thermal power plants [PDF]
, 2020 The fuel cost curve of thermal generators was very important in the calculation of economic dispatch and optimal power flow. Temperature and aging could make changes to fuel cost curve so curve estimation need to be done periodically. The accuracy of the
Ari Nrartha, I Made +2 more
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Pressure Vessel Design Problem Using Improved Gray Wolf Optimizer Based on Cauchy Distribution
Applied Sciences, 2023 The Gray Wolf Optimizer (GWO) is an established algorithm for addressing complex optimization tasks. Despite its effectiveness, enhancing its precision and circumventing premature convergence is crucial to extending its scope of application.
Jun Li, Kexue Sun
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Application of Grey Wolf Optimizer Algorithm for Optimal Power Flow of Two-Terminal HVDC Transmission System [PDF]
, 2017 This paper applies a relatively new optimization method, the Grey Wolf Optimizer (GWO) algorithm for Optimal Power Flow (OPF) of twoterminal High Voltage Direct Current (HVDC) electrical power system.
Hassan, Heba Ahmed
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