A novel algorithm of MGWO-based PI controller for a single-stage grid-connected flyback inverter with ZVS [PDF]
Automatika, 2022 An effective approach on zero-voltage switching scheme for a single-stage grid-connected flyback inverter along with the introduction of Modified Grey Wolf Optimizer technique based on the proportional integral controller is proposed.
N. K. Sakthivel, S. Sutha
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Volitive Grey Wolf Optimizer [PDF]
Anais do XVI Congresso Brasileiro de Inteligência Computacional, 2023 Swarm-based metaheuristics have become the most prominent method for solving optimization problems. Several operators already proposed in the literature can also be reused to expand the current metaheuristics.
Bastos Filho, Carmelo +4 more
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A multi hidden recurrent neural network with a modified grey wolf optimizer.
PLoS ONE, 2019 Identifying university students' weaknesses results in better learning and can function as an early warning system to enable students to improve. However, the satisfaction level of existing systems is not promising.
Tarik A Rashid +2 more
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A hybrid algorithm of grey wolf optimizer and harris hawks optimization for solving global optimization problems with improved convergence performance [PDF]
Scientific Reports, 2023 The grey wolf optimizer is an effective and well-known meta-heuristic algorithm, but it also has the weaknesses of insufficient population diversity, falling into local optimal solutions easily, and unsatisfactory convergence speed. Therefore, we propose
Binbin Tu +3 more
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CMGWO: Grey wolf optimizer for fusion cell-like P systems [PDF]
HeliyonThe grey wolf optimizer is a widely used parametric optimization algorithm. It is affected by the structure and rank of grey wolves and is prone to falling into the local optimum.
Yourui Huang +4 more
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A novel fault diagnosis method for gearbox based on RVMD and TELM with composite chaotic grey wolf optimizer [PDF]
Scientific ReportsFault diagnosis for gearbox by robust variational mode decomposition (RVMD) and twin extreme learning machine (TELM) with composite chaotic grey wolf optimizer (CCGWO) is proposed in this study. Robust variational mode decomposition is an advanced signal
Xuebin Huang +3 more
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Improved Alpha-Guided Grey Wolf Optimizer [PDF]
IEEE Access, 2019 Grey wolf optimizer (GWO) is a new meta-heuristic swarm intelligence algorithm, which has shown promising performance in solving optimization problems. In order to improve the convergence speed of GWO, an alpha-guided GWO (AgGWO), in which the evolving ...
Pin Hu +4 more
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Augmented weighted K-means grey wolf optimizer: An enhanced metaheuristic algorithm for data clustering problems [PDF]
Scientific ReportsThis 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 order to address the problem of data clustering.
Manoharan Premkumar +7 more
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Face Image Segmentation Using Boosted Grey Wolf Optimizer. [PDF]
Biomimetics (Basel), 2023 Image segmentation methods have received widespread attention in face image recognition, which can divide each pixel in the image into different regions and effectively distinguish the face region from the background for further recognition. Threshold segmentation, a common image segmentation method, suffers from the problem that the computational ...
Zhang H +7 more
europepmc +4 more sources
Grey wolf optimizer with self-repulsion strategy for feature selection [PDF]
Scientific ReportsFeature selection is one of the most critical steps in big data analysis. Accurately extracting correct features from massive data can effectively improve the accuracy of big data processing algorithms.
Yufeng Wang +5 more
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