Results 121 to 130 of about 17,774 (232)

Recent Advances in Grey Wolf Optimizer, its Versions and Applications: Review

IEEE Access
The Grey Wolf Optimizer (GWO) has emerged as one of the most captivating swarm intelligence methods, drawing inspiration from the hunting behavior of wolf packs. GWO’s appeal lies in its remarkable characteristics: it is parameter-free, derivative-
Sharif Naser Makhadmeh, Mohammed Azmi Al-Betar, Iyad Abu Doush, Mohammed A. Awadallah, Sofian Kassaymeh, Seyedali Mirjalili, Raed Abu Zitar   +6 more
doaj   +1 more source

Hierarchical multi step Gray Wolf optimization algorithm for energy systems optimization

Scientific Reports
Gray Wolf Optimization (GWO), inspired by the social hierarchy and cooperative hunting behavior of gray wolves, is a widely used metaheuristic algorithm for solving complex optimization problems in various domains, including engineering design, image ...
Idriss Dagal, AL-Wesabi Ibrahim, Ambe Harrison, Wulfran Fendzi Mbasso, Ahmad O. Hourani, Ievgen Zaitsev   +5 more
doaj   +1 more source

Integration of GWO-LSSVM for time series predictive analysis

, 2016
The emergence of Statistical Learning Theory (SLT) based algorithm namely Least Squares Support Vector Machines (LSSVM) has evidenced its efficacy in solving regression and classification problems.
Zuriani, Mustaffa, Bariah, Yusob, Mohd Herwan, Sulaiman, Ernawan, Ferda   +3 more
core  

Flow chart of GWO.

In this paper, we propose two different control strategies for the position control of the ball of the ball and beam system (BBS). The first control strategy uses the proportional integral derivative-second derivative with a proportional integrator PIDD2-
Amil Daraz (9667034), Farhan Zafar (9667046), Irfan Ahmed Khan (11321310), Suheel Abdullah Malik (9667037), Tayyab Ali (17935896), Farkhunda Bhatti (17965635), Abdul Rahman Afzal (17965632)   +6 more
core   +1 more source

Optimal parameters of HMGs under different disturbance coefficients using GWO.

Optimal parameters of HMGs under different disturbance coefficients using GWO.
Noor Izzri bin Abdul Wahab (9225541), Ahmed Sahib Tukkee (17935942), Nashiren Farzilah binti Mailah (17935945), Mohd Khair Bin Hassan (17935948)   +3 more
core   +1 more source

The basic flowchart of MOID-GWO.

In flexible job shop scheduling problem (FJSP), the collision of bidirectional rail guided vehicles (RGVs) directly affects RGVs scheduling, and it is closely coupled with the allocation of production equipment, which directly affects the production ...
Zhen Liu (74646), Qinglei Zhang (10032021), Jianguo Duan (11422981), Jing Hu (41899)   +3 more
core   +1 more source

QLFDGWO: Q-Learning-Guided Weighted Fitness-Distance Grey Wolf Optimizer for UAV Path Planning. [PDF]

Biomimetics (Basel)
Huang C, Yang B, Huo Y.
europepmc   +1 more source

An improved grey wolf optimization algorithm for 3-D UWB indoor positioning. [PDF]

PLoS One
Zhou J, Li B, Yang S, Liu C.
europepmc   +1 more source

Stochastic Grey Wolf Optimization for Hyperparameter Tuning of LSTM and RNN Models in Energy Forecasting. [PDF]

Sci Rep
Albser OA, Mouhamed MR, Shatta SA, Sweilem NH, Darwish A.   +4 more
europepmc   +1 more source

Maximum photovoltaic power point tracking based on hybrid GWO-P&O algorithm under local shadow

Journal of Measurement Science and Instrumentation
In view of the problem of multiple peak values of P-U characteristic curve under a local shading environment,the traditional gray wolf optimization (GWO) is slow in convergence speed and low in accuracy of steady state at the late stage when tracking the
ZHAO Feng, XIAO Chengrui, CHEN Xiaoqiang, WANG Ying   +3 more
doaj