An improved grey wolf optimizer with hyperbolic tangent updating mechanism for solving optimization problems [PDF]
, 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
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Optimization algorithms for steady state analysis of self excited induction generator [PDF]
, 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
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An Improved Grey Wolf Optimization Algorithm and its Application in Path Planning
IEEE 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
Analysis of Grey Wolf Optimization GWO in Economic Load Dispatch Problem
, 2022 This paper presents GWO flow diagram and algorithm for finding best values which update the generators. GWO algorithm establishes a relation as to how generating level is allocated to each power station analogus to the food divided amongst alpha, beta and delta wolves as per their hierarchy.
Someya Sharma +3 more
openaire +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
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Energies, 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
Shuffled Complex-Self Adaptive Hybrid EvoLution (SC-SAHEL) optimization framework [PDF]
, 2018 Simplicity and flexibility of meta-heuristic optimization algorithms have attracted lots of attention in the field of optimization. Different optimization methods, however, hold algorithm-specific strengths and limitations, and selecting the best ...
AghaKouchak, A +7 more
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Fuzzy Strategy Grey Wolf Optimizer for Complex Multimodal Optimization Problems
Sensors, 2022 Traditional grey wolf optimizers (GWOs) have difficulty balancing convergence and diversity when used for multimodal optimization problems (MMOPs), resulting in low-quality solutions and slow convergence.
Hua Qin, Tuanxing Meng, Yuyi Cao
doaj +1 more source
Experienced grey wolf optimizer through reinforcement learning and neural networks [PDF]
, 2017 In this paper, a variant of Grey Wolf Optimizer (GWO) that uses reinforcement learning principles combined with neural networks to enhance the performance is proposed.
Emary, E, Grosan, C, Zawbaa, HM
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A New Galactic Swarm Optimization Algorithm Enhanced with Grey Wolf Optimizer for Training Artificial Neural Networks [PDF]
, 2021 This paper proposes a new Galactic Swarm Optimization (GSO) algorithm enhanced with Grey Wolf Optimizer (GWO).The proposed algorithm is used to train a feedforward Neural Network for function approximation.
Geraldine Bessie Amali.D, Mahammed Mohsina, Umadevi K S
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