Results 31 to 40 of about 4,807 (213)

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

IET 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, Khaled F. Hayajneh, Haythem Bany Salameh, Raed Al Athamneh, Yaser Jararweh   +4 more
wiley   +1 more source

Light Spectrum Optimizer: A Novel Physics-Inspired Metaheuristic Optimization Algorithm

Mathematics, 2022
This paper introduces a novel physical-inspired metaheuristic algorithm called “Light Spectrum Optimizer (LSO)” for continuous optimization problems. The inspiration for the proposed algorithm is the light dispersions with different angles while passing ...
Mohamed Abdel-Basset, Reda Mohamed, Karam M. Sallam, Ripon K. Chakrabortty   +3 more
doaj   +1 more source

A novel hybrid GWO-SCA approach for optimization problems

Engineering 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

Modified Grey Wolf Optimizer for Global Engineering Optimization [PDF]

Applied Computational Intelligence and Soft Computing, 2016
Nature-inspired algorithms are becoming popular among researchers due to their simplicity and flexibility. The nature-inspired metaheuristic algorithms are analysed in terms of their key features like their diversity and adaptation, exploration and exploitation, and attractions and diffusion mechanisms.
Nitin Mittal, Urvinder Singh, Balwinder Singh Sohi   +2 more
openaire   +3 more sources

Improving Phishing Detection with the Grey Wolf Optimizer

2022 International Conference on Electronics, Information, and Communication (ICEIC), 2022
With the recent epidemic of COVID-19-themed scam and phishing, the efficient automated detection of such attacks is crucial. Although many anti-phishing solutions, such as lists and similarity and heuristic-based approaches detect attacks, methods still can be improved. Classification accuracy is highly dependent on the feature selection method used to
Aws Naser Jaber, Lothar Fritsch, Hårek Haugerud   +2 more
openaire   +2 more sources

Optimal Reactive Power Dispatch untuk Meminimisasi Rugi-Rugi Daya Aktif pada Sistem Lampung Menggunakan Metode Grey-Wolf Optimizer (GWO)

Jurnal Nasional Teknik Elektro, 2017
Optimal reactive power dispatch has a purpose to achieve secure and economic operation of power system by regulating reactive power allocation in electric power system, such as regulating generators voltage, capacity of shunt capacitors and tap position
Osea Zebua, I Made Ginarsa
doaj   +1 more source

Improved Variational Mode Decomposition and One-Dimensional CNN Network with Parametric Rectified Linear Unit (PReLU) Approach for Rolling Bearing Fault Diagnosis

Applied Sciences, 2022
As a critical component of rotating machinery, rolling bearings are essential for the safe and efficient operation of machinery. Sudden faults of rolling bearings can lead to unscheduled downtime and substantial economic costs.
Xiaofeng Wang, Xiuyan Liu, Jinlong Wang, Xiaoyun Xiong, Suhuan Bi, Zhaopeng Deng   +5 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 Versatile‐Designable Framework for Active and Programmable Shape‐Morphing Soft Matter Systems: From Inverse Design to Closed‐Loop Control

Advanced Science, EarlyView.
A versatile framework integrates addressable electrothermal actuation and strain‐constraint mechanisms to construct programmable shape‐morphing soft matter systems. By combining an analytical inverse design strategy for high‐fidelity 3D surface reconstruction with deep learning‐based closed‐loop control, this approach enables zero‐energy shape locking,
Kai Liu, Peiling Xie, Ruitong Song, Banghan Liu, Rui Guo, Jiu‐an Lv   +5 more
wiley   +1 more source

Balancing Exploration and Exploitation Through a Sequential Hybrid of Roach Infestation and Mayfly Algorithms for Constrained Engineering Design Optimization

AI &Innovation, EarlyView.
ABSTRACT Maintaining an effective balance between exploration and exploitation is essential during optimization processes, from mathematical functions to more complex problems such as constrained engineering design optimization, particularly when addressing highly nonlinear issues with numerous local optima and strict feasibility requirements.
Enrique Lizárraga, Fevrier Valdez, Oscar Castillo, Patricia Melin   +3 more
wiley   +1 more source