Orthogonal learning covariance matrix for defects of grey wolf optimizer: Insights, balance, diversity, and feature selection
This research's genesis is in two aspects: first, a guaranteed solution for mitigating the grey
wolf optimizer's (GWO) defect and deficiencies. Second, we provide new open-minding …
wolf optimizer's (GWO) defect and deficiencies. Second, we provide new open-minding …
Improved binary grey wolf optimizer and its application for feature selection
Abstract Grey Wolf Optimizer (GWO) is a new swarm intelligence algorithm mimicking the
behaviours of grey wolves. Its abilities include fast convergence, simplicity and easy …
behaviours of grey wolves. Its abilities include fast convergence, simplicity and easy …
Multi-strategy ensemble grey wolf optimizer and its application to feature selection
To overcome the limitation of single search strategy of grey wolf optimizer (GWO) in solving
various function optimization problems, we propose a multi-strategy ensemble GWO …
various function optimization problems, we propose a multi-strategy ensemble GWO …
A review of grey wolf optimizer-based feature selection methods for classification
Feature selection is imperative in machine learning and data mining when we have high-
dimensional datasets with redundant, nosy and irrelevant features. The area of feature …
dimensional datasets with redundant, nosy and irrelevant features. The area of feature …
MbGWO-SFS: Modified binary grey wolf optimizer based on stochastic fractal search for feature selection
Grey Wolf Optimizer (GWO) simulates the grey wolves' nature in leadership and hunting
manners. GWO showed a good performance in the literature as a meta-heuristic algorithm …
manners. GWO showed a good performance in the literature as a meta-heuristic algorithm …
Large scale salp-based grey wolf optimization for feature selection and global optimization
M Qaraad, S Amjad, NK Hussein… - Neural Computing and …, 2022 - Springer
Salp swarm algorithm (SSA) is a recently developed meta-heuristic swarm intelligence
optimization algorithm based on simulating the chain movement behavior of salps sailing …
optimization algorithm based on simulating the chain movement behavior of salps sailing …
A new hybrid algorithm based on grey wolf optimization and crow search algorithm for unconstrained function optimization and feature selection
Grey wolf optimizer (GWO) is a very efficient metaheuristic inspired by the hierarchy of the
Canis lupus wolves. It has been extensively employed to a variety of practical applications …
Canis lupus wolves. It has been extensively employed to a variety of practical applications …
Memory, evolutionary operator, and local search based improved Grey Wolf Optimizer with linear population size reduction technique
Optimization of multi-modal functions is challenging even for evolutionary and swarm-based
algorithms as it requires an efficient exploration for finding the promising region of the …
algorithms as it requires an efficient exploration for finding the promising region of the …
A local opposition-learning golden-sine grey wolf optimization algorithm for feature selection in data classification
Z Li - Applied Soft Computing, 2023 - Elsevier
The classification problem is an important research topic in machine learning and data
mining. Feature selection can remove irrelevant and redundant features and improve …
mining. Feature selection can remove irrelevant and redundant features and improve …
Hybrid binary grey wolf with Harris hawks optimizer for feature selection
Despite Grey Wolf Optimizer's (GWO) superior performance in many areas, stagnation in
local optima areas may still be a concern. Several significant GWO factors can be explored …
local optima areas may still be a concern. Several significant GWO factors can be explored …
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