Results 21 to 30 of about 8,085 (236)
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 +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 +2 more
openaire +2 more sources
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 +4 more
wiley +1 more source
Efficient Solar Cell Design through Grey Wolf Optimization: Multi-Layer Thickness Optimization for Enhanced Short-Circuit Current Density [PDF]
Journal of Renewable Energy and EnvironmentOptimization problems can be classified as discrete or continuous, depending on the nature of the decision variables. Using continuous algorithms for problems that are inher-ently discrete can pose challenges in achieving optimal efficiency.
Hamed Kargaran +3 more
doaj +1 more source
A Novel Hybrid Algorithm Based on Grey Wolf Optimizer and Fireworks Algorithm
Sensors, 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
Improved Grey Wolf Optimization Algorithm Based on Hyperbolic Tangent Inertia Weight
IEEE Access, 2023 The Grey Wolf Optimization Algorithm (GWO) replicates the leadership and foraging mechanisms of the natural grey wolf and excels in solving problems in a variety of domains.
Weiming Lin
doaj +1 more source
A Novel Complex-Valued Encoding Grey Wolf Optimization Algorithm
Algorithms, 2015 Grey wolf optimization (GWO) is one of the recently proposed heuristic algorithms imitating the leadership hierarchy and hunting mechanism of grey wolves in nature. The aim of these algorithms is to perform global optimization.
Qifang Luo +3 more
doaj +1 more source
Elektronika ir Elektrotechnika, 2020 The mathematical model of load frequency control is established in the interconnected power system of hydro, thermal, and wind for solving the problem of frequency instability in this paper. Besides, the improved grey wolf optimization algorithm (GWO) is
Fannie Kong, Jinfang Li, Daliang Yang
doaj +1 more source
Structural Optimization Using Grey Wolf Optimizer and Its Variants
ITEGAM-JETIANow 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 +5 more
doaj +1 more source
Energies, 2018 Daily peak load forecasting is an important part of power load forecasting. The accuracy of its prediction has great influence on the formulation of power generation plan, power grid dispatching, power grid operation and power supply reliability of power
Shuyu Dai, Dongxiao Niu, Yan Li
doaj +1 more source