Results 21 to 30 of about 4,765,015 (215)
Improved Grey Wolf Optimization Algorithm and Application. [PDF]
Sensors (Basel), 2022 This paper proposed an improved Grey Wolf Optimizer (GWO) to resolve the problem of instability and convergence accuracy when GWO is used as a meta-heuristic algorithm with strong optimal search capability in the path planning for mobile robots. We improved chaotic tent mapping to initialize the wolves to enhance the global search ability and used a ...
Hou Y, Gao H, Wang Z, Du C.
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Improved Grey Wolf Optimization Algorithm Based on Hyperbolic Tangent Inertia Weight
IEEE Access, 2023 The Grey Wolf Optimization Algorithm (GWO) replicates the leadership and foraging mechanisms of the natural grey wolf and excels in solving problems in a variety of domains.
Weiming Lin
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An Improved Grey Wolf Optimization Algorithm for Heart Disease Prediction
This paper presents a unique solution to challenges in medical image processing by incorporating an adaptive curve grey wolf optimization (ACGWO) algorithm into neural network backpropagation.
Li, Zhikai +4 more
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, 2021 With the transformation of transmission and distribution grids into smart grids that are more dominated by renewable energy, power electronics-based inverters that can improve power quality are becoming more visible.
Mirjalili, S, Neshat, M, Ceylan, O
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An Improved Grey Wolf Optimization Algorithm with Variable Weights. [PDF]
Comput Intell Neurosci, 2019 With a hypothesis that the social hierarchy of the grey wolves would be also followed in their searching positions, an improved grey wolf optimization (GWO) algorithm with variable weights (VW-GWO) is proposed. And to reduce the probability of being trapped in local optima, a new governing equation of the controlling parameter is also proposed ...
Gao ZM, Zhao J.
europepmc +4 more sources
Grey Wolf Optimization Algorithm: A Survey
Iraqi Journal of Science, 2023 The Gray Wolf Optimizer (GWO) is a population-based meta-heuristic algorithm that belongs to the family of swarm intelligence algorithms inspired by the social behavior of gray wolves, in particular the social hierarchy and hunting mechanism. Because of its simplicity, flexibility, and few parameters to be tuned, it has been applied to a wide ...
Mohammed H. Hashem +2 more
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On the Binarization of Grey Wolf Optimizer: A Novel Binary Optimizer Algorithm [PDF]
Soft Computing, 2021 Abstract Grey Wolf Optimizer (GWO) is a population-based evolutionary algorithm inspired by the hunting behaviour of grey wolves. GWO, in its basic form, is a real coded algorithm, therefore, it needs modifications to deal with binary optimization problems.
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Dynamic characterization of a master–slave robotic manipulator using a hybrid grey wolf–whale optimization algorithm [PDF]
, 2021 This article presents a novel hybrid algorithm based on the grey-wolf optimizer and whale optimization algorithm, referred here as grey-wolf optimizer–whale optimization algorithm, for the dynamic parametric modelling of a four degree-of-freedom master ...
Thaha, MA +3 more
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IEEE Access, 2021 Conventional fuzzy clustering algorithms present several disadvantages with respect to image segmentation, including a tendency to arrive at local optima and a relatively high sensitivity to noise and initial cluster centers.
Xiangxiao Lei, Honglin Ouyang
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Matlab Code of Enhanced Opposition Based Grey Wolf Optimization Algorithm
, 2023 Here, the Matlab code of Enhanced Opposition Based Grey Wolf Optimization Algorithm is ...
Mohapatra, P
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