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Grey Wolf Optimization algorithm based on Cauchy-Gaussian mutation and improved search strategy [PDF]
Scientific Reports, 2022 The traditional Grey Wolf Optimization algorithm (GWO) has received widespread attention due to features of strong convergence performance, few parameters, and easy implementation.
Kewen Li +4 more
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A hybrid algorithm of grey wolf optimizer and harris hawks optimization for solving global optimization problems with improved convergence performance [PDF]
Scientific Reports, 2023 The grey wolf optimizer is an effective and well-known meta-heuristic algorithm, but it also has the weaknesses of insufficient population diversity, falling into local optimal solutions easily, and unsatisfactory convergence speed. Therefore, we propose
Binbin Tu +3 more
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Improved Gaussian Puff Model and Grey Wolf Optimization Algorithm for Gas Source Localization [PDF]
Applied SciencesFor gas source localization in three-dimensional space, the leakage diffusion of the gas source is first modeled as a superposition of multiple Gaussian puffs.
Xiangjin Zeng, Song Feng, Hengyu Zhou
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An Improved Grey Wolf Optimization Algorithm and its Application in Path Planning
IEEE Access, 2021 Grey wolf algorithm (GWO) is a classic swarm intelligence algorithm, but it has the disadvantages of slow convergence speed and easy to fall into local optimum on some problems.
Jingyi Liu, Xiuxi Wei, Huajuan Huang
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Research on children's health prediction based on Improved Grey Wolf Optimization algorithm-Random Forest model. [PDF]
Medicine (Baltimore)Xu H, Hu J.
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Power Transformer fault Diagnosis based on Hybrid Intelligent Algorithm
Journal of Applied Science and Engineering, 2023 The gas content in the oil is used as the fault input characteristic for the power transformer. Still, the accuracy of the diagnosis results is not ideal, and such a model is unstable.
Yong Xu, Xiaojuan Lu
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An effective model parameter estimation of PEMFCs using GWO algorithm and its variants
IET Renewable Power Generation, 2022 This paper introduces the application of the variants of the Grey Wolf Optimisation algorithm for the sake of assessing unknown parameters of Proton Exchange Membrane Fuel Cells models.
Ahmed A. Zaki Diab +3 more
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IEEE Access, 2020 Grey wolf optimizer (GWO) is a new meta-heuristic algorithm. The GWO algorithm mimics the leadership hierarchy and hunting mechanism of grey wolves in nature. Three main stages of hunting include: encircling, tracking and attacking.
M. W. Guo +4 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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Applied Sciences, 2022 In order to improve the response characteristics of magnetorheological fluid brake (MRB) and reduce the braking fluctuation rate, an improved grey wolf optimization algorithm was proposed to adjust the parameters of the proportion integration ...
Lili Dai +5 more
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