Hierarchical multi step Gray Wolf optimization algorithm for energy systems optimization [PDF]
Gray 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 ...
Idriss Dagal +5 more
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An improved gray wolf optimization algorithm solving to functional optimization and engineering design problems [PDF]
As a newly proposed optimization algorithm based on the social hierarchy and hunting behavior of gray wolves, grey wolf algorithm (GWO) has gradually become a popular method for solving the optimization problems in various engineering fields. In order to
Yihui Qiu, Xiaoxiao Yang, Shuixuan Chen
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Maximizing Output Power for Solar Panel using Grey Wolf Optimization [PDF]
Obtaining the highest output power delivered from solar panel that leads to an amelioration in the efficiency of the solar system related to the weather conditions and the rate of solar radiation falling on the panel.
Ali Nadhim Hamoodi +2 more
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Application of optimized Kalman filtering in target tracking based on improved Gray Wolf algorithm
High precision is a very important index in target tracking. In order to improve the prediction accuracy of target tracking, an optimized Kalman filter approach based on improved Gray Wolf algorithm (IGWO-OKF) is proposed in this paper.
Zheming Pang, Yajun Wang, Fang Yang
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Transformer-based decoder of melanoma classification using hand-crafted texture feature fusion and Gray Wolf Optimization algorithm [PDF]
Melanoma is a type of skin cancer that poses significant health risks and requires early detection for effective treatment. This study proposing a novel approach that integrates a transformer-based model with hand-crafted texture features and Gray Wolf ...
Hemant Kumar +6 more
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Gray Wolf Optimization Algorithm for Multi-Constraints Second-Order Stochastic Dominance Portfolio Optimization [PDF]
In the field of investment, how to construct a suitable portfolio based on historical data is still an important issue. The second-order stochastic dominant constraint is a branch of the stochastic dominant constraint theory.
Yixuan Ren +3 more
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Application research of γ energy spectrum analysis based on improved grey wolf algorithm
BackgroundTraditional γ energy spectrum analysis methods have the disadvantages of long time, many steps and low accuracy.PurposeThis study aims to propose an improved gray wolf algorithm based on qualitative analysis to obtain nuclide information faster
LIU Wei +4 more
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Comparison of the efficiency of gray wolf optimizer and imperialist competitive algorithms in an optimal allocation of water in irrigation and drainage networks (case study: Sofi-Chay network) [PDF]
Introduction: Water scarcity is one of the most important issues in the 21st century that human societies encounter. Population growth, industrial and agricultural production, rapid urbanization, and severe climate change have had a major impact on ...
Farhad Misaghi +2 more
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An Improved Gray Wolf Optimization Algorithm to Solve Engineering Problems [PDF]
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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Application of Gray Wolf Optimization Algorithm on Synchronous Processing of Sample Equalization and Feature Selection in Credit Evaluation [PDF]
With the rapid development of Internet finance industry, traditional credit risk evaluation is facing challenges in the face of massive data.Due to the unbalanced sample categories and high feature redundancy in credit evaluation, it has become the key ...
CHU An-qi, DING Zhi-jun
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