Results 31 to 40 of about 3,332,658 (221)
Optimum Network Reconfiguration using Grey Wolf Optimizer [PDF]
, 2018 The objective of this paper is to determine an optimal network reconfiguration that presents the minimum losses considering network constraints using Grey Wolf Optimizer (GWO) algorithm.
Mohammedi, Ridha Djamel; University of Djelfa +3 more
core +2 more sources
Wireless Sensor Network Deployment of 3D Surface Based on Enhanced Grey Wolf Optimizer
IEEE Access, 2020 Aiming at the difficulty of deploying wireless sensor networks (WSNs) on three-dimensional (3D) surfaces, based on the grey wolf optimizer (GWO), an enhanced version of the grey wolf optimizer is proposed for deploying WSNs on 3D surfaces, namely the ...
Zhendong Wang, Huamao Xie
doaj +1 more source
Energies, 2022 Coal-fired power plants are widely used to achieve a power balance in grids with renewable energy, which leads to new requirements for speediness in load dispatch.
Yue Cao +5 more
doaj +1 more source
Dynamic characterization of a master–slave robotic manipulator using a hybrid grey wolf–whale optimization algorithm [PDF]
, 2021 This article presents a novel hybrid algorithm based on the grey-wolf optimizer and whale optimization algorithm, referred here as grey-wolf optimizer–whale optimization algorithm, for the dynamic parametric modelling of a four degree-of-freedom master ...
Thaha, MA +3 more
core +1 more source
A Novel Complex-Valued Encoding Grey Wolf Optimization Algorithm [PDF]
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. This paper presents a modified GWO algorithm based on complex-valued encoding; namely the complex-valued encoding grey wolf ...
Luo, Qifang +3 more
openaire +4 more sources
, 2022 In this paper, an improved Grey Wolf Optimizer (GWO) algorithm, termed LGWO, is introduced. The enhanced version is interesting and complementary in terms of the direction of movement of the leader wolf, and a special parameter that allows the faster ...
Mirjalili, S +4 more
core +1 more source
Improved grey wolf algorithm for optimization problems
Indonesian Journal of Electrical Engineering and Computer Science, 2021 The grey wolf optimization (GWO) is a nature inspired and meta-heuristic algorithm, it has successfully solved many optimization problems and give better solution as compare to other algorithms. However, due to its poor exploration capability, it has imbalance relation between exploration and exploitation.
Asgher, Hafiz Maaz +3 more
openaire +2 more sources
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
Chaotic grey wolf optimization algorithm for constrained optimization problems
Journal of Computational Design and Engineering, 2017 AbstractThe Grey Wolf Optimizer (GWO) algorithm is a novel meta-heuristic, inspired from the social hunting behavior of grey wolves. This paper introduces the chaos theory into the GWO algorithm with the aim of accelerating its global convergence speed.
Mehak Kohli, Sankalap Arora
openaire +2 more sources
EaGWO: Extended algorithm of Grey Wolf Optimizer
Journal of Physics: Conference Series, 2021 Abstract The Grey Wolf Optimizer (GWO) and their very recent improved algorithms have some limitations such as stagnation in local optima, slow convergence rate, and so forth. In order to overcome these limitations, we have proposed an algorithm of GWO, named Extended algorithm of GWO (EaGWO), that modifies the hunting equation and ...
Alok Kumar +3 more
openaire +1 more source