Results 11 to 20 of about 40,987 (204)

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, Tandra Pal   +2 more
doaj   +3 more sources

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, Hussien I. Abdul‐Ghaffar, Abdelsalam A. Ahmed, Husam A. Ramadan   +3 more
doaj   +1 more source

An Improved Grey Wolf Optimizer Based on Tracking and Seeking Modes to Solve Function Optimization Problems

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, J. S. Wang, L. F. Zhu, S. S. Guo, W. Xie   +4 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, Shaohui Li, Zongchao Huang, Min Zhang, Zhifeng Xu   +4 more
doaj   +1 more source

Kernel-Based Intuitionistic Fuzzy Clustering Image Segmentation Based on Grey Wolf Optimizer With Differential Mutation

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

Economical-technical-environmental operation of power networks with wind-solar-hydropower generation using analytic hierarchy process and improved grey wolf algorithm

, 2021
This paper presents an economical-technical-environmental dispatch (ETED) model for an adapted IEEE 30-bus system incorporated with thermal and a mix of renewable energy sources (RESs).
M. Rawa, A. Abusorrah, Hussain M. Bassi, S. Mekhilef, Ziad M. Ali, Shady H. E. Abdel Aleem, Hany M. Hasanien, A. Omar   +7 more
semanticscholar   +1 more source

A novel hybrid predictive maintenance model based on clustering, smote and multi-layer perceptron neural network optimised with grey wolf algorithm

SN Applied Sciences, 2021
Considering the complexities and challenges in the classification of multiclass and imbalanced fault conditions, this study explores the systematic combination of unsupervised and supervised learning by hybridising clustering (CLUST) and optimised multi ...
A. Buabeng, A. Simons, N. K. Frempong, Yao Yevenyo Ziggah   +3 more
semanticscholar   +1 more source

A hybridized model based on neural network and swarm intelligence-grey wolf algorithm for spatial prediction of urban flood-inundation

, 2021
In regions with lack of hydrological and hydraulic data, a spatial flood modeling and mapping is an opportunity for the urban authorities to predict the spatial distribution and the intensity of the flooding. It helps decision-makers to develop effective
H. Darabi, A. Haghighi, Omid Rahmati, Abolfazl Jalali Shahrood, Sajad Rouzbeh, B. Pradhan, D. Bui   +6 more
semanticscholar   +1 more source

Research on Control Strategy of a Magnetorheological Fluid Brake Based on an Enhanced Gray Wolf Optimization Algorithm

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, He Lu, Dezheng Hua, Xinhua Liu, Lifeng Wang, Qiang Li   +5 more
doaj   +1 more source

A hybrid algorithm of grey wolf optimizer and harris hawks optimization for solving global optimization problems with improved convergence performance

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, Fei Wang, Yan Huo, Xiaotian Wang   +3 more
doaj   +1 more source