Hierarchy Strengthened Grey Wolf Optimizer for Numerical Optimization and Feature Selection

Hierarchy Strengthened Grey Wolf Optimizer for Numerical Optimization and Feature Selection

Grey wolf optimizer (GWO) is an efficient swarm intelligence algorithm for kinds of optimization problems. However, GWO tends to be trapped in local optimum when solving large-scale problems. Social hierarchy is one of the main characteristics of GWO which affect the searching efficiency. Thus, an i...

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Bibliographic Details
Main Authors: Qiang Tu, Xuechen Chen, Xingcheng Liu
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Swarm intelligence algorithm
grey wolf optimizer (GWO)
social hierarchy
numerical optimization
feature selection
Online Access:https://ieeexplore.ieee.org/document/8733793/

Internet

https://ieeexplore.ieee.org/document/8733793/

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