A Novel Grey Wolf Optimizer Algorithm With Refraction Learning

A Novel Grey Wolf Optimizer Algorithm With Refraction Learning

Grey wolf optimizer (GWO) is a relatively new algorithm in the field of swarm intelligence for solving numerical optimization as well as real-world optimization problems. However, the paramount challenge in GWO is that it is prone to stagnation in local optima. The main goal of this paper is to impr...

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Bibliographic Details
Main Authors: Wen Long, Tiebin Wu, Shaohong Cai, Ximing Liang, Jianjun Jiao, Ming Xu
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Grey wolf optimizer
refraction learning
global optimization
exploration
exploitation
Online Access:https://ieeexplore.ieee.org/document/8689025/

Internet

https://ieeexplore.ieee.org/document/8689025/

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