An Improved Gray Wolf Optimization Algorithm to Solve Engineering Problems [PDF]
Sustainability, 2021 With the rapid development of the economy, the disparity between supply and demand of resources is becoming increasingly prominent in engineering design. In this paper, an improved gray wolf optimization algorithm is proposed (IGWO) to optimize engineering design problems.
Yu Li, Xiaoxiao Lin, Jingsen Liu
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Hierarchical multi step Gray Wolf optimization algorithm for energy systems optimization. [PDF]
Sci RepGray Wolf Optimization (GWO), inspired by the social hierarchy and cooperative hunting behavior of gray wolves, is a widely used metaheuristic algorithm for solving complex optimization problems in various domains, including engineering design, image processing, and machine learning.
Dagal I +5 more
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A Study on the Grip Force of Ski Gloves with Feature Data Fusion Based on GWO—BPNN Deep Learning [PDF]
SensorsTo investigate the characteristic pressure distribution patterns when gripping ski poles during skiing, this study addresses the challenges of measuring grip force on the complex curved surfaces of ski poles.
Xiping Ma +3 more
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Multi-criteria decision model for multicircular flight control of unmanned aerial vehicles through a hybrid approach [PDF]
Scientific ReportsThis study presents a novel approach for optimizing UAV (unmanned aerial vehicle) Multicircular flight control by developing a fractional order proportional integral derivative (FOPID)-based hybrid Eagle strategy particle swarm optimization ant lion ...
Noorulden Basil +11 more
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New genetic gray wolf optimizer with a random selective mutation for wind farm layout optimization [PDF]
HeliyonThe wake effect is a relevant factor in determining the optimal distribution of wind turbines within the boundaries of a wind farm. This reduces the incident wind speed on downstream wind turbines, which results in a decrease in energy production for the
Mauro Amaro Pinazo
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Point cloud registration based on surface feature extraction and an improved Grey Wolf Optimization algorithm [PDF]
Scientific ReportsThis study introduces an innovative feature point extraction method combined with an improved Grey Wolf Optimizer (GWO)-based coarse registration approach to address common challenges of low registration accuracy and slow processing speed in point cloud ...
Zimei Tu +3 more
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Dynamic Community in static social networks using the gray wolf optimizer algorithm [PDF]
مدیریت مهندسی و رایانش نرم, 2020 Identifying communities in complex networks is an important issues in social network analysis, and it helps researchers understand the function and display of network structures.
Fatemeh Besharatnia +2 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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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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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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