Results 1 to 10 of about 2,234 (65)
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.
Xiuxi Wei, Huajuan Huang
exaly +3 more sources
A Novel Hybrid Algorithm Based on Grey Wolf Optimizer and Fireworks Algorithm
Sensors, 2020 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 ...
Wendong Xiao, Sen Zhang
exaly +3 more sources
Scientific ReportsThis study presents the K-means clustering-based grey wolf optimizer, a new algorithm intended to improve the optimization capabilities of the conventional grey wolf optimizer in order to address the problem of data clustering.
Laith Abualigah +2 more
exaly +2 more sources
Oppositional based grey wolf optimization algorithm for economic dispatch problem of power system
Ain Shams Engineering Journal, 2018 This article proposes an efficient meta-heuristic approach, namely, oppositional grey wolf optimization (OGWO) algorithm for resolving the optimal operating strategy of economic load dispatch (ELD) problem.
Moumita Pradhan, Provas Kumar Roy
exaly +3 more sources
Journal of Algorithms and Computational Technology, 2019 Aiming at the problem of wireless sensor network node coverage optimization with obstacles in the monitoring area, based on the grey wolf optimizer algorithm, this paper proposes an improved grey wolf optimizer (IGWO) algorithm to improve the ...
Huamao Xie, Zhendong Wang, Zhendong WANG
exaly +2 more sources
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
Grey Wolf Optimization algorithm based on Cauchy-Gaussian mutation and improved search strategy
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
doaj +1 more source
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
doaj +1 more source