Results 1 to 10 of about 44,287 (227)

Grey Wolf Optimizer [PDF]

Advances in Engineering Software, 2014
This work proposes a new meta-heuristic called Grey Wolf Optimizer (GWO) inspired by grey wolves (Canis lupus). The GWO algorithm mimics the leadership hierarchy and hunting mechanism of grey wolves in nature.
Seyedali Mirjalili, Seyed Mohammad Mirjalili, Andrew J Lewis   +2 more
exaly   +4 more sources

Volitive Grey Wolf Optimizer [PDF]

Anais do XVI Congresso Brasileiro de Inteligência Computacional, 2023
Swarm-based metaheuristics have become the most prominent method for solving optimization problems. Several operators already proposed in the literature can also be reused to expand the current metaheuristics.
Joao Paulo Silva, Rodrigo Cesar Silva, Mariana Macedo, H. Siqueira, C. B. Bastos Filho   +4 more
semanticscholar   +4 more sources

A hybrid algorithm of grey wolf optimizer and harris hawks optimization for solving global optimization problems with improved convergence performance

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, Fei Wang, Yan Huo, Xiaotian Wang   +3 more
doaj   +2 more sources

A novel algorithm of MGWO-based PI controller for a single-stage grid-connected flyback inverter with ZVS [PDF]

Automatika, 2022
An effective approach on zero-voltage switching scheme for a single-stage grid-connected flyback inverter along with the introduction of Modified Grey Wolf Optimizer technique based on the proportional integral controller is proposed.
N. K. Sakthivel, S. Sutha
doaj   +3 more sources

Adaptive grey wolf optimizer

Neural Computing and Applications, 2022
Swarm-based metaheuristic optimization algorithms have demonstrated outstanding performance on a wide range of optimization problems in both science and industry. Despite their merits, a major limitation of such techniques originates from non-automated parameter tuning and lack of systematic stopping criteria that typically leads to inefficient use of ...
Kazem Meidani, AmirPouya Hemmasian, S. Mirjalili, Amir Barati Farimani   +3 more
semanticscholar   +3 more sources

Augmented weighted K-means grey wolf optimizer: An enhanced metaheuristic algorithm for data clustering problems

Scientific Reports
This study presents the K-means clustering-based grey wolf optimizer, a new algorithm intended to improve the optimization capabilities of the conventional grey wolf optimizer in order to address the problem of data clustering.
Manoharan Premkumar, Garima Sinha, Manjula Devi Ramasamy, Santhoshini Sahu, Chithirala Bala Subramanyam, Ravichandran Sowmya, Laith Abualigah, Bizuwork Derebew   +7 more
doaj   +2 more sources

A multi hidden recurrent neural network with a modified grey wolf optimizer.

PLoS ONE, 2019
Identifying university students' weaknesses results in better learning and can function as an early warning system to enable students to improve. However, the satisfaction level of existing systems is not promising.
Tarik A Rashid, Dosti K Abbas, Yalin K Turel   +2 more
doaj   +2 more sources

Boolean Binary Grey Wolf Optimizer [PDF]

2022 IEEE Latin American Conference on Computational Intelligence (LA-CCI), 2022
Several binary swarm algorithms use the identical continuous proposal, adding a transfer function to mapping from continuous to binary space. It has been shown that binary operators are more appropriate and efficient for binary optimisation. Based on it,
Bastos-Filho, Carmelo, Lira, Rodrigo Cesar, Macedo, Mariana, Siqueira, Hugo Valadares   +3 more
core   +2 more sources

Levy flight-improved grey wolf optimizer algorithm-based support vector regression model for dam deformation prediction

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   +2 more sources

Improved Alpha-Guided Grey Wolf Optimizer [PDF]

IEEE Access, 2019
Grey wolf optimizer (GWO) is a new meta-heuristic swarm intelligence algorithm, which has shown promising performance in solving optimization problems. In order to improve the convergence speed of GWO, an alpha-guided GWO (AgGWO), in which the evolving ...
Pin Hu, Siyi Chen, Huixian Huang, Guangyan Zhang, Lian Liu   +4 more
doaj   +2 more sources