Research on Improving Gray Wolf Algorithm Based on Multi-Strategy Fusion

Research on Improving Gray Wolf Algorithm Based on Multi-Strategy Fusion

To address the shortcomings of the basic Gray Wolf Optimization (GWO) algorithm in solving complex problems, such as relying on the initial population, converging too early, and easily falling into local optimality, a chaotic reverse learning initialization strategy, a nonlinear control parameter co...

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Bibliographic Details
Main Authors: Xiaoxiao Yang, Yihui Qiu
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Gray wolf optimization algorithm
population intelligence optimization
chaotic mapping
lenticular imaging backward learning
nonlinear control parameters
Online Access:https://ieeexplore.ieee.org/document/10164081/

Internet

https://ieeexplore.ieee.org/document/10164081/

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