Results 41 to 50 of about 4,354 (214)

Rolling bearing fault feature extraction method based on GWO-optimized adaptive stochastic resonance signal processing

SN Applied Sciences, 2022
Article Highlights 1. Grey Wolf Optimizer (GWO) is applied to optimize the stochastic resonance model resolution parameters. Compared with Cuckoo Search optimization algorithms, GWO gains the advantages of fast convergence speed and high calculation ...
Zhenya Quan, Xueliang Zhang
doaj   +1 more source

Optimized Fuzzy Skyhook Control for Semi-Active Vehicle Suspension with New Inverse Model of Magnetorheological Fluid Damper

Energies, 2021
To improve the performance of vehicle suspension, this paper proposes a semi-active vehicle suspension with a magnetorheological fluid (MRF) damper. We designed an optimized fuzzy skyhook controller with grey wolf optimizer (GWO) algorithm base on a new ...
Teng Ma, Fengrong Bi, Xu Wang, Congfeng Tian, Jiewei Lin, Jie Wang, Gejun Pang   +6 more
doaj   +1 more source

Structural Optimization Using Grey Wolf Optimizer and Its Variants

ITEGAM-JETIA
Now a days, many metaheuristic optimization algorithms are invariably used in the field of engineering and data science. In structural mechanics, many stochastic optimization algorithms are employed for solving the complex numerical problems.
Bhavik Dipakbhai Upadhyay, Ms. Sonal T. Dave, Vishal J. Pandya, Jignesh G. Parmar, Hasmukh P. Koringa, Miral J. Patel   +5 more
doaj   +1 more source

A Fractional Order Control Strategy for LFC via Big Bang Big Crunch & Grey Wolf Optimization Algorithms [PDF]

E3S Web of Conferences, 2020
The Grey Wolf Optimization (GWO) is well known meta-heuristic algorithm and has been previously used for optimization of various conventional PID and FOPID controllers.
Padhan Dola Gobinda, Nawaz Syed Sarfaraz, Ravikanth Padmanabhuni   +2 more
doaj   +1 more source

A new movement strategy of grey wolf optimizer for optimization problems and structural damage identification

, 2022
In this paper, an improved Grey Wolf Optimizer (GWO) algorithm, termed LGWO, is introduced. The enhanced version is interesting and complementary in terms of the direction of movement of the leader wolf, and a special parameter that allows the faster ...
Mirjalili, S, Abdel Wahab, M, Sang-To, T, Cuong-Le, T, Le-Minh, H   +4 more
core   +1 more source

An Enhanced Grey Wolf Optimizer with a Velocity-Aided Global Search Mechanism

Mathematics, 2022
This paper proposes a novel variant of the Grey Wolf Optimization (GWO) algorithm, named Velocity-Aided Grey Wolf Optimizer (VAGWO). The original GWO lacks a velocity term in its position-updating procedure, and this is the main factor weakening the ...
Farshad Rezaei, Hamid Reza Safavi, Mohamed Abd Elaziz, Shaker H. Ali El-Sappagh, Mohammed Azmi Al-Betar, Tamer Abuhmed   +5 more
doaj   +1 more source

An application of grey wolf optimizer for commodity price forecasting [PDF]

, 2015
Over the recent decades, there are many nature inspired optimization algorithms have been introduced.In this study, a newly algorithm namely Grey Wolf Optimizer (GWO) is employed for gasoline price forecasting.The performance of GWO is compared against ...
Sulaiman, Mohd Herwan, Mustaffa, Zuriani, Yusof, Yuhanis   +2 more
core   +2 more sources

Rekonfigurasi Jaringan Distribusi Untuk Meminimalisasi Rugi-Rugi Daya Dengan Menggunakan Metode Grey Wolf Optimizer (GWO)

, 2022
Rekonfigurasi jaringan pada jaringan distribusi merupakan suatu proses atau usaha untuk mengubah status sakelar pada saluran yang terhubung (sectionalizing switch) dan yang tidak terhubung (tie switch) dengan tujuan untuk meminimalisasi rugi-rugi daya ...
M. Harbi Rai Pangestu
core   +2 more sources

A harmonic estimator design with evolutionary operators equipped grey wolf optimizer

, 2020
Harmonic estimation is a challenging design problem in power networks. Accurate estimation of the inter, power and sub harmonics in networks can be a helpful aspect for designing potential solutions for elimination of these harmonics. Harmonic estimation
Mirjalili, S, Kumar, R, Saxena, A
core   +1 more source

Optimum Network Reconfiguration using Grey Wolf Optimizer

, 2018
The objective of this paper is to determine an optimal network reconfiguration that presents the minimum losses considering network constraints using Grey Wolf Optimizer (GWO) algorithm.
Mohammedi, Ridha Djamel; University of Djelfa, Mosbah, Mustafa; Amar Telidji University of Laghouat, Zine, Rabie; Prince Sattam Bin Abdulaziz University, Arif, Salem; Amar Telidji University of Laghouat   +3 more
core   +3 more sources