Results 41 to 50 of about 3,332,658 (221)

Hybridization of Grey Wolf Optimizer and Crow Search Algorithm Based on Dynamic Fuzzy Learning Strategy for Large-Scale Optimization

open access: yesIEEE Access, 2020
A novel optimization algorithm named hybrid grey wolf optimizer with crow search algorithm (GWO-CSA) is developed in this paper for handling large-scale numerical optimization problems.
Rizk Masoud Rizk-Allah   +2 more
doaj   +1 more source

Feature Selection Algorithm Based on Multi Strategy Grey Wolf Optimizer

open access: yes, 2020
Part 1: Machine LearningInternational audienceFeature selection is an important part of data mining, image recognition and other fields. The efficiency and accuracy of classification algorithm can be improved by selecting the best feature subset.
Wan, Guoqiang   +7 more
core   +1 more source

Boolean Binary Grey Wolf Optimizer [PDF]

open access: yes, 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   +3 more
core   +1 more source

Multi-Area Load Frequency Control of Hydro-Thermal-Wind Power Based on Improved Grey Wolf Optimization Algorithm

open access: yesElektronika ir Elektrotechnika, 2020
The mathematical model of load frequency control is established in the interconnected power system of hydro, thermal, and wind for solving the problem of frequency instability in this paper. Besides, the improved grey wolf optimization algorithm (GWO) is
Fannie Kong, Jinfang Li, Daliang Yang
doaj   +1 more source

Fuzzy Multilevel Image Thresholding Based on Improved Coyote Optimization Algorithm

open access: yesIEEE Access, 2021
Due to the computational complexity of multilevel image thresholding, Swarm Intelligence Optimization Algorithm (SIOA) has been widely applied to improve the calculation efficiency.
Linguo Li   +5 more
doaj   +1 more source

Grey wolf optimizer: Theory, literature review, and application in computational fluid dynamics problems

open access: yes, 2020
This chapter first discusses inspirations, methematicam models, and an in-depth literature of the recently proposed Grey Wolf Optimizer (GWO). Then, several experiments are conducted to analyze and benchmark the performance of different variants and ...
Mirjalili, S   +4 more
core   +1 more source

WEIGHTED GREY WOLF OPTIMIZER WITH IMPROVED CONVERGENCE RATE IN TRAINING MULTI-LAYER PERCEPTRON TO SOLVE CLASSIFICATION PROBLEMS

open access: yesJordanian Journal of Computers and Information Technology, 2021
The Grey Wolf Optimizer (GWO) is a very recently developed and emerging swarm-intelligent algorithm. The GWO algorithm was inspired by the social dominance hierarchy and hunting strategy of the grey wolves that has been successfully tailored to tackle ...
Alok Kumar, Lekhraj, Anoj Kumar
doaj   +1 more source

Diversity-Based Evolutionary Population Dynamics: A New Operator for Grey Wolf Optimizer

open access: yes, 2022
Evolutionary Population Dynamics (EPD) refers to eliminating poor individuals in nature, which is the opposite of survival of the fittest. Although this method can improve the median of the whole population of the meta-heuristic algorithms, it suffers ...
Safavi, HR   +11 more
core   +1 more source

Node coverage optimization algorithm for wireless sensor networks based on improved grey wolf optimizer

open access: yesJournal of Algorithms & Computational Technology, 2019
Aiming at the problem of wireless sensor network node coverage optimization with obstacles in the monitoring area, based on the grey wolf optimizer algorithm, this paper proposes an improved grey wolf optimizer (IGWO) algorithm to improve the ...
Zhendong Wang   +5 more
doaj   +1 more source

An Improved Grey Wolf Optimization Algorithm with Variable Weights

open access: yesComputational Intelligence and Neuroscience, 2019
With a hypothesis that the social hierarchy of the grey wolves would be also followed in their searching positions, an improved grey wolf optimization (GWO) algorithm with variable weights (VW-GWO) is proposed. And to reduce the probability of being trapped in local optima, a new governing equation of the controlling parameter is also proposed ...
Zheng-Ming Gao, Juan Zhao 0004
openaire   +3 more sources

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