Results 21 to 30 of about 40,987 (204)
Considering the strong non-linear time-varying behavior of dam deformation, a novel prediction model, called Levy flight-based grey wolf optimizer optimized support vector regression (LGWO-SVR), is proposed to forecast the displacements of hydropower ...
Peng He, Wenjing Wu
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A Novel Hybrid Algorithm Based on Grey Wolf Optimizer and Fireworks Algorithm
Grey wolf optimizer (GWO) is a meta-heuristic algorithm inspired by the hierarchy of grey wolves (Canis lupus). Fireworks algorithm (FWA) is a nature-inspired optimization method mimicking the explosion process of fireworks for optimization problems ...
Zhihang Yue, Sen Zhang, Wendong Xiao
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Grey Wolf Optimization Algorithm Based on Follow-Controlled Learning Strategy
This paper analyzes the OBL strategy’s impact on optimizing the GWO algorithm and identifies three shortcomings. the specific limitations of the OBL optimization approach.
Haojie Zhang +5 more
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Energy consumption has become a significant issue in businesses. It is known that the industrial sector has consumed nearly half of the world's total energy consumption in some cases.
Cynthia Novel Al-Imron +2 more
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Traditional calibration technology has been widely used in measurement and monitoring; however, there are limitations of poor calibration accuracy, which can not meet the accuracy requirements in some scenarios.
Daolei Wang +4 more
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A Modified Grey Wolf Algorithm with Applications to Engineering [PDF]
In this contribution, a modified gray wolf algorithm for use in engineering applications is presented. The grey wolf algorithm is one of the meta-heuristic optimization methods that has recently been widely used by researchers due to its good ...
Vahid Mahboub
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Path Planning For A Mobile Robot Using The Chessboard Method And Gray Wolf Optimization Algorithm In Static And Dynamic Environments [PDF]
The Grey Wolf Optimization (GWO) algorithm, a computational optimization method inspired by the social behavior of wolves, has recently been effectively used to solve optimization and routing problems.
Ali Hatami Zadeh +2 more
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Echo state network optimization using binary grey wolf algorithm
The echo state network (ESN) is a powerful recurrent neural network for time series modelling. ESN inherits the simplified structure and relatively straightforward training process of conventional neural networks, and shows strong computational ...
Junxiu Liu +5 more
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Threshold Binary Grey Wolf Optimizer Based on Multi-Elite Interaction for Feature Selection
The traditional grey wolf algorithm is widely used for feature selection. However, within complex feature multi-dimensional problems, the grey wolf algorithm is prone to reach locally optimal solutions and premature convergence.
Hongzhuo Wu +5 more
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The mathematical model of load frequency control is established in the interconnected power system of hydro, thermal, and wind for solving the problem of frequency instability in this paper. Besides, the improved grey wolf optimization algorithm (GWO) is
Fannie Kong, Jinfang Li, Daliang Yang
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