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Development of renewable energy fed three-level hybrid active filter for EV charging station load using Jaya grey wolf optimization. [PDF]

Sci Rep
Srilakshmi K, Santosh DT, Ramadevi A, Balachandran PK, Reddy GP, Palanivelu A, Colak I, Dhanamjayulu C, Chinthaginjala RK, Khan B.   +9 more
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Development of grey wolf optimization based modified fast terminal sliding mode controller for three phase interleaved boost converter fed PV system.

Sci Rep
Krishnaram K, Suresh Padmanabhan T, Alsaif F, Senthilkumar S.   +3 more
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Improved dynamic grey wolf optimizer

Frontiers of Information Technology & Electronic Engineering, 2021
In the standard grey wolf optimizer (GWO), the search wolf must wait to update its current position until the comparison between the other search wolves and the three leader wolves is completed. During this waiting period, the standard GWO is seen as the static GWO.
Xiaoqing Zhang, Yuye Zhang, Zhengfeng Ming   +2 more
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Swarmed Grey Wolf Optimizer

The Chinese Journal of Artificial Intelligence, 2022
Background: The Particle Swarm Optimization (PSO) algorithm is amongst the utmost favourable optimization algorithms often employed in hybrid procedures by the researchers considering simplicity, smaller count of parameters involved, convergence speed and capability of searching global optima.
Sumita Gulati, Ashok Pal
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Grey Wolf Optimizer

2020
GWO algorithm is a swarm or population-based meta-heuristic technique developed based on motivation from the hunting pattern of the Grey Wolves (GW). In this study, the model was implemented using MATLAB 2020. Thirty (30) search agents were considered and the maximum number of iterations was set to 1000.
Ahmed F. Ali, Mohamed A. Tawhid
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Group-based synchronous-asynchronous Grey Wolf Optimizer

Applied Mathematical Modelling, 2021
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Alma Rodríguez, Octavio Camarena, Erik Cuevas, Itzel Aranguren, Arturo Valdivia-G, Bernardo Morales-Castañeda, Daniel Zaldívar, Marco Pérez-Cisneros   +7 more
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Chaotic grey wolf optimization

2016 International Conference on Progress in Informatics and Computing (PIC), 2016
Grey wolf optimization algorithm (GWO) is a recently proposed meta-heuristics and has shown promising performance in solving complex function optimization and engineering problems. To further enrich the search dynamics of GWO, the chaotic local search (CLS) mechanism is incorporated into GWO to enhance the search by taking the properties of ergodicity ...
Hang Yu, Yang Yu, Yanting Liu, Yirui Wang, Shangce Gao   +4 more
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Enhanced Grey Wolf Optimization Algorithm for Global Optimization

Fundamenta Informaticae, 2017
Grey Wolf Optimizer (GWO) is a new meta-heuristic search algorithm inspired by the social behavior of leadership and the hunting mechanism of grey wolves. GWO algorithm is prominent in terms of finding the optimal solution without getting trapped in premature convergence. In the original GWO, half of the iterations are dedicated to exploration and the
Joshi, Himani, Arora, Sankalap
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Randomized Neighbour Grey Wolf Optimizer

2021
At present time, swarm-intelligence-related algorithm covers a wide area of optimization. Grey wolf optimizer (GWO) algorithm is one of them. Grey wolves work in a group and they pantomimist the communal style of the wolf. In GWO a solution is upgraded by consolidating the instruction from the three best solutions in the explore area [1].
Shahnawaz Ali, Swati Jadon, Ankush Sharma   +2 more
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Improved Discrete Grey Wolf Optimizer

2018 26th European Signal Processing Conference (EUSIPCO), 2018
Grey wolf optimizer (GWO) is a bioinspired iterative optimization algorithm which simulates the hunting process of a wolf pack guided by three leaders. In this paper, a novel discrete GWO is proposed: a random leader selection is performed, and the probability for the main leader to be selected increases at the detriment of the other leaders across ...
Martin, Benoît, Marot, Julien, Bourennane, Salah   +2 more
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