Results 11 to 20 of about 6,414 (217)

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

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

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

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

open access: yes, 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

An improved grey wolf optimizer with hyperbolic tangent updating mechanism for solving optimization problems [PDF]

open access: yes, 2021
The original algorithm of Grey Wolf Optimizer (GWO) has a common problem which is too soon to trap in local optima. This paper presents the Improved Grey Wolf Optimizer (IGWO) by modifying the updating mechanism of the original GWO.
M. A., Ahmad   +2 more
core   +1 more source

Optimization algorithms for steady state analysis of self excited induction generator [PDF]

open access: yes, 2023
The current publication is directed to evaluate the steady state performance of three-phase self-excited induction generator (SEIG) utilizing particle swarm optimization (PSO), grey wolf optimization (GWO), wale optimization algorithm (WOA), genetic ...
Anagreh, Aysha   +2 more
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

An Improved Grey Wolf Optimization Algorithm and its Application in Path Planning

open access: yesIEEE Access, 2021
Grey wolf algorithm (GWO) is a classic swarm intelligence algorithm, but it has the disadvantages of slow convergence speed and easy to fall into local optimum on some problems.
Jingyi Liu, Xiuxi Wei, Huajuan Huang
doaj   +1 more source

A novel hybrid GWO-SCA approach for optimization problems

open access: yesEngineering Science and Technology, an International Journal, 2017
Recent trend of research is to hybridize two and several number of variants to find out better quality of solution of practical and recent real applications in the field of global optimization problems.
N. Singh, S.B. Singh
doaj   +1 more source

Greedy Sine-Cosine Non-Hierarchical Grey Wolf Optimizer for Solving Non-Convex Economic Load Dispatch Problems

open access: yesEnergies, 2022
Economic load dispatch (ELD) provides significant benefits to the operation of the power system. It appears to be a complex nonconvex optimization problem subject to several equal and unequal constraints.
Ali S. Alghamdi
doaj   +1 more source

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