Results 1 to 10 of about 4,807 (213)

Image Denoising with Modified Grey Wolf Optimizer

Düzce Üniversitesi Bilim ve Teknoloji Dergisi, 2018
In this study, image denoising hasbeen realized with with the one of the recent Nature-Inspired optimizationalgorithms, Grey Wolf Optimizer(GWO). GWO is one of the recent most studiedcontinous optimization algorithm which performs better than the ...
Hüseyin Avni Ardaç, Pakize Erdoğmuş
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Path Planning for an Unmanned Wing-in-Ground-Effect Craft Using a Hybrid ISSA-GWO Algorithm

Drones
A novel hybrid ISSA-GWO (Improved Sparrow Search Algorithm–Grey Wolf Optimizer) is proposed for the path planning of Unmanned Wing-in-Ground-Effect Craft (UWIGC), integrating ground-effect constraints and island-reef environments into a unified ...
Yuan Chen, Yong Zhang, Yiheng Wang
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Hybrid grey wolf and whale optimization for enhanced Parkinson's prediction based on machine learning models using biomedical sound

Informatics in Medicine Unlocked
Background: Biomedical voice measurements have been used by many physicians and scientists to distinguish Parkinson's patients from ordinary people. Measurements of biomedical voices involve many variables calculated from signal analysis of the voice ...
Hazem Al-Najjar, Nadia Al-Rousan, Dana Al-Najjar   +2 more
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Optimizing Agricultural Management Practices for Maize Crops: Integrating Clusterwise Linear Regression with an Adaptation of the Grey Wolf Optimizer

Agriculture
Effectively managing agricultural practices is crucial for maximizing yield, reducing investment costs, preserving soil health, ensuring sustainability, and mitigating environmental impact.
Germán-Homero Morán-Figueroa, Carlos-Alberto Cobos-Lozada, Oscar-Fernando Bedoya-Leyva   +2 more
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A Random Opposition-Based Learning Grey Wolf Optimizer

IEEE Access, 2019
Grey wolf optimizer (GWO) algorithm is a swarm intelligence optimization technique that is recently developed to mimic the hunting behavior and leadership hierarchy of grey wolves in nature.
Wen Long, Jianjun Jiao, Ximing Liang, Shaohong Cai, Ming Xu   +4 more
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Many-Objective Grey Wolf Optimizer (MaOGWO) for solving real-world problems

Results in Engineering
The Grey Wolf Optimizer (GWO) is an effective optimization algorithm that primarily focuses on single objective optimization and is characterized by its simplicity and fast convergence.
Kanak Kalita, Pradeep Jangir, Lenka Čepová, Shankar Chakraborty, Sundaram B. Pandya, Arpita   +5 more
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A Novel Power Curve Modeling Framework for Wind Turbines

Advances in Electrical and Computer Engineering, 2019
This paper presents two main novelties concerning power curve modeling of wind turbines. First novelty lies in the hybridization of 5 widely-used parametric functions and 8 recently-developed metaheuristic optimization algorithms.
YESILBUDAK, M.
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A Variational Mode Decomposition-Driven Hybrid Wind Speed Forecasting Methodology using Firefly-Intensified Revamped Grey Wolf Optimized Regularized Extreme Learning Machine

Engineered Science
The steady integration of wind energy into modern power systems highly relies on accurate short-term wind speed forecasting for consistent grid operations.
S. Syama, V. S. Kirthika Devi, Seyedali Mirjalili   +2 more
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HDE-CGWO-Based Optimal Load Frequency Control for Nonlinear Power Systems

Energies
In modern power-system load frequency control (LFC), proportional–integral–derivative (PID) controllers are widely used because of their simple structure and ease of implementation.
Yaya Li, Qing Hu, Xingyue Liu, Yu Jiang, Xuanqi Liao, Kaibo Shi   +5 more
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A Lie group-based hybrid optimization framework for multi-objective UAV path planning using L-VGWO

Scientific Reports
To address the challenges of high-precision pose alignment, dynamic path smoothness, and efficient multi-objective optimization in three-dimensional UAV path planning under complex environments, this study proposes the Lie Group-based Griffon Vulture ...
Yadong Wang, Chaoyu Guo, Yifan Shao, Lulu Zheng, Xuefeng Deng   +4 more
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