Optimizing methane flux prediction and key feature identification based on a novel hybrid machine learning model. [PDF]
iScienceGu X, Yao L, Xiao X, Wu L, Yu H.
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Decision-Support for Restorative Dentistry: Hybrid Optimization Enhances Detection on Panoramic Radiographs. [PDF]
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Point cloud registration based on surface feature extraction and an improved Grey Wolf Optimization algorithm. [PDF]
Sci RepTu Z, Xie Y, Jiang J, Qin Q.
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Efficient estimation of proton exchange membrane fuel cells parameters using a hybrid swarm intelligent algorithm. [PDF]
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System Reliability Optimization Using Gray Wolf Optimizer Algorithm
Quality and Reliability Engineering International, 2016For the past two decades, nature‐inspired optimization algorithms have gained enormous popularity among the researchers. On the other hand, complex system reliability optimization problems, which are nonlinear programming problems in nature, are proved to be non‐deterministic polynomial‐time hard (NP‐hard) from a computational point of view.
Anuj Kumar, Sangeeta Pant, Mangey Ram
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Optimal parameter identification of SOFC model using modified gray wolf optimization algorithm
Energy, 2022Abstract Industrial and commercial use of fuel cells as a source of clean energy production are two important goals of researchers in the field of energy today. Therefore, researchers in this science are always looking for new methods for industrial production and at a reasonable price for fuel cells.
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Optimization of heliostat field distribution based on improved Gray Wolf optimization algorithm
Renewable Energy, 2021Abstract The heliostat field of tower solar thermal power station accounts for 40%–50% of the total cost, and influences the concentrating efficiency. Accordingly, it is necessary to optimize the layout of the heliostat field. Based on the optical efficiency model, an improved Gray Wolf Optimization (GWO) algorithm is proposed to optimize the field ...
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Implementation of Gray Wolf Optimization algorithm to recycled gas centrifuge cascades
Progress in Nuclear Energy, 2021Abstract Since the separative power of a single centrifuge is relatively small, to achieve adequate enrichment and throughput, a large number of centrifuges are interconnected to form a cascade. An enrichment plant usually holds thousands of centrifuges.
S. Dadashzadeh, M. Aghaie, A. Zolfaghari
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Short-Term Traffic Volume Prediction Based on Gray Wolf Optimization Algorithm
2021This paper takes the data of the intersection of Jianghai Avenue and North Street as an example and proposes a short-term traffic flow prediction model (DGWO-GRU) based on the hyperbolic tangent-improved gray wolf algorithm (DGWO) to optimize the GRU neural network.
Junming Dai, Mei Sun, Quan Shi
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