Results 31 to 40 of about 3,322,155 (235)
Applied Sciences, 2022 In order to improve the response characteristics of magnetorheological fluid brake (MRB) and reduce the braking fluctuation rate, an improved grey wolf optimization algorithm was proposed to adjust the parameters of the proportion integration ...
Lili Dai +5 more
doaj +1 more source
An Improved Grey-Wolf Optimization Algorithm Based on Circle Map
, 2020 To overcome the shortcomings of grey wolf optimization algorithm (GWO) such as being easy to fall into the local optimum, and the slow convergence rate in the later stage, an adaptive weighted grey-wolf optimization algorithm based on the Circle map is ...
Yao,Chen +3 more
core +2 more sources
Scientific Reports, 2023 The grey wolf optimizer is an effective and well-known meta-heuristic algorithm, but it also has the weaknesses of insufficient population diversity, falling into local optimal solutions easily, and unsatisfactory convergence speed. Therefore, we propose
Binbin Tu +3 more
doaj +1 more source
IET Networks, EarlyView., 2022 Abstract Everything can be connected in the Internet of Things (IoTs) technology that enables efficient communication between connected objects. IoTs industry‐based meta‐heuristic and mining algorithms, which are considered an important field of Artificial Intelligence will be used to construct a healthcare application in this study for lowering costs,
Muhaned Al‐Hashimi +4 more
wiley +1 more source
Frontiers in Earth Science, 2023 Considering the strong non-linear time-varying behavior of dam deformation, a novel prediction model, called Levy flight-based grey wolf optimizer optimized support vector regression (LGWO-SVR), is proposed to forecast the displacements of hydropower ...
Peng He, Wenjing Wu
doaj +1 more source
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
A Novel Grey Wolf Optimizer Algorithm With Refraction Learning [PDF]
IEEE Access, 2019 Grey wolf optimizer (GWO) is a relatively new algorithm in the field of swarm intelligence for solving numerical optimization as well as real-world optimization problems. However, the paramount challenge in GWO is that it is prone to stagnation in local optima.
Wen Long +5 more
openaire +3 more sources
Research on Particle Filter Algorithm Based on Improved Grey Wolf Algorithm
, 2021 : The traditional particle filter algorithm is prone to particle depletion and weight degradation, and a large number of particles are needed to make an accurate estimation of non-linear system.
Li, Weigang +3 more
core +1 more source
On the Binarization of Grey Wolf Optimizer: A Novel Binary Optimizer Algorithm [PDF]
Soft Computing, 2021 Abstract Grey Wolf Optimizer (GWO) is a population-based evolutionary algorithm inspired by the hunting behaviour of grey wolves. GWO, in its basic form, is a real coded algorithm, therefore, it needs modifications to deal with binary optimization problems.
openaire +2 more sources
Selective Opposition based Grey Wolf Optimization
, 2020 The use of metaheuristics is widespread for optimization in both scientific and industrial problems due to several reasons, including flexibility, simplicity, and robustness.
Sarkar, Ram +3 more
core +1 more source