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Exploring the potential of 5G uplink communication: Synergistic integration of joint power control, user grouping, and multi-learning Grey Wolf Optimizer. [PDF]

Sci Rep
Sikkanan S, Kumar C, Manoharan P, Ravichandran S.   +3 more
europepmc   +1 more source

Different type of pay later facility for green product with selling price dependent demand using grey wolf optimizer. [PDF]

Heliyon
Alrasheedi AF.
europepmc   +1 more source

Novel grey wolf optimizer based parameters selection for GARCH and ARIMA models for stock price prediction. [PDF]

PeerJ Comput Sci
Bagalkot SS, A DH, Naik N.
europepmc   +1 more source

Author Correction: Augmented weighted K-means grey wolf optimizer: An enhanced metaheuristic algorithm for data clustering problems. [PDF]

Sci Rep
Premkumar M, Sinha G, Ramasamy MD, Sahu S, Subramanyam CB, Sowmya R, Abualigah L, Derebew B.   +7 more
europepmc   +1 more source

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An improved grey wolf optimizer for solving engineering problems

Expert Systems With Applications, 2021
In this article, an Improved Grey Wolf Optimizer (I-GWO) is proposed for solving global optimization and engineering design problems. This improvement is proposed to alleviate the lack of population diversity, the imbalance between the exploitation and ...
Mohammad H Nadimi-Shahraki, Shokooh Taghian, Seyedali Mirjalili   +2 more
exaly   +2 more sources

Multi-objective grey wolf optimizer: A novel algorithm for multi-criterion optimization

Expert Systems With Applications, 2016
Seyedali Mirjalili, Shahrzad Saremi, Seyed Mohammad Mirjalili   +2 more
exaly   +2 more sources

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
openaire   +1 more source

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
openaire   +1 more source