Results 11 to 20 of about 38,897 (297)

Adaptive grey wolf optimizer

open access: yesNeural Computing and Applications, 2022
Swarm-based metaheuristic optimization algorithms have demonstrated outstanding performance on a wide range of optimization problems in both science and industry. Despite their merits, a major limitation of such techniques originates from non-automated parameter tuning and lack of systematic stopping criteria that typically leads to inefficient use of ...
Kazem Meidani   +3 more
openaire   +2 more sources

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

open access: yesIEEE 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

Energy-Efficient Cluster Head Selection in Wireless Sensor Networks Using an Improved Grey Wolf Optimization Algorithm

open access: yesDe Computis, 2023
The internet of things (IoT) and industrial IoT (IIoT) play a major role in today’s world of intelligent networks, and they essentially use a wireless sensor network (WSN) as a perception layer to collect the intended data.
M. R. Reddy   +3 more
semanticscholar   +1 more source

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

open access: yesApplied 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
doaj   +1 more source

A transformer fault diagnosis method based on hybrid improved grey wolf optimization and least squares‐support vector machine

open access: yesIET Generation, Transmission & Distribution, 2022
In recent years, support vector machine has been widely used in the field of transformer fault diagnosis, but its fault diagnosis performance is still to be improved.
Yuhan Wu   +4 more
doaj   +1 more source

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

open access: yesIEEE 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

Brain Tumor Detection and Classification Using Deep Learning and Sine-Cosine Fitness Grey Wolf Optimization

open access: yesBioengineering, 2022
Diagnosing a brain tumor takes a long time and relies heavily on the radiologist’s abilities and experience. The amount of data that must be handled has increased dramatically as the number of patients has increased, making old procedures both costly and
Hanaa ZainEldin   +6 more
semanticscholar   +1 more source

A Modified Grey Wolf Optimization Algorithm for an Intrusion Detection System

open access: yesMathematics, 2022
Cyber-attacks and unauthorized application usage have increased due to the extensive use of Internet services and applications over computer networks, posing a threat to the service’s availability and consumers’ privacy.
Abdullah Alzaqebah   +3 more
semanticscholar   +1 more source

Application of grey wolf algorithm for solving engineering optimization problems [PDF]

open access: yesTehnika, 2021
This paper presents grey wolf optimization - GWO. After presenting the biological basis of GWO, it explains the method itself and then the main algorithms of the GWO method as well as their mathematical models.
Milenković Branislav N.   +2 more
doaj   +1 more source

A Grey Wolf Optimization Algorithm-Based Optimal Reactive Power Dispatch with Wind-Integrated Power Systems

open access: yesEnergies, 2023
Keeping the bus voltage within acceptable limits depends on dispatching reactive power. Power quality improves as a result of creating an effective power flow system, which also helps to reduce power loss. Therefore, optimal reactive power dispatch (ORPD)
M. Varan   +2 more
semanticscholar   +1 more source

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