Results 21 to 30 of about 6,723 (242)

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

A Novel Hybrid Algorithm Based on Grey Wolf Optimizer and Fireworks Algorithm

open access: yesSensors, 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 ...
Zhihang Yue, Sen Zhang, Wendong Xiao
doaj   +1 more source

Prediction of solar irradiance using grey wolf Optimizer-Least-Square support vector machine [PDF]

open access: yes, 2020
Prediction of solar irradiance is important for minimizing energy costs and providing high power quality in a photovoltaic (PV) system. This paper proposes a new technique for prediction of hourly-ahead solar irradiance namely Grey Wolf Optimizer- Least ...
Ab Aziz, Nur Fadilah   +4 more
core   +3 more sources

Risk prediction of coal and gas outburst

open access: yesGong-kuang zidonghua, 2022
In order to solve the problems of low accuracy and slow response speed of existing support vector machine (SVM)-based coal and gas outburst prediction methods, a risk prediction method of coal and gas outburst based on improved grey wolf optimizer (IGWO)
LI Yan, NAN Xinyuan, LIN Wanke
doaj   +1 more source

Joint power control and user grouping mechanism for efficient uplink non‐orthogonal multiple access‐based 5G communication: Utilising the Lèvy‐flight firefly algorithm

open access: yesIET Networks, EarlyView., 2023
We utilise a metaheuristic optimisation method, inspired by nature, called the Lévy‐flight firefly algorithm (LFA), to tackle the power regulation and user grouping in the NOMA systems. Abstract The non‐orthogonal multiple access strategies have shown promise to boost fifth generation and sixth generation wireless networks' spectral efficiency and ...
Zaid Albataineh   +4 more
wiley   +1 more source

Hybridization of Grey Wolf Optimizer and Crow Search Algorithm Based on Dynamic Fuzzy Learning Strategy for Large-Scale Optimization

open access: yesIEEE Access, 2020
A novel optimization algorithm named hybrid grey wolf optimizer with crow search algorithm (GWO-CSA) is developed in this paper for handling large-scale numerical optimization problems.
Rizk Masoud Rizk-Allah   +2 more
doaj   +1 more source

Grey Wolf Cuckoo Search Algorithm for Training Feedforward Neural Network and Logic Gates Design [PDF]

open access: yes, 2023
This paper presents a new hybrid Swarm Intelligence (SI) algorithm based on the Cuckoo Search Algorithm (CSA) and Grey Wolf Optimizer (GWO) called the Grey Wolf Cuckoo Search (GWCS) algorithm. The GWCS algorithm extracts and combines CSA and GWO features
Layak Ali, et al.
core   +2 more sources

Application of Grey Wolf Optimizer Algorithm for Optimal Power Flow of Two-Terminal HVDC Transmission System [PDF]

open access: yes, 2017
This paper applies a relatively new optimization method, the Grey Wolf Optimizer (GWO) algorithm for Optimal Power Flow (OPF) of twoterminal High Voltage Direct Current (HVDC) electrical power system.
Hassan, Heba Ahmed
core   +1 more source

Home - About - Disclaimer - Privacy