Improved Hybrid Grey Wolf Optimization Algorithm Based on Dimension Learning-Based Hunting Search Strategy

Improved Hybrid Grey Wolf Optimization Algorithm Based on Dimension Learning-Based Hunting Search Strategy

An improved hybrid grey wolf optimization algorithm (IHGWO) is proposed to solve the problem of population diversity, imbalance of exploration and development capabilities, and premature convergence. The algorithm benefits from particle swarm optimization and a dimension learning-based hunting searc...

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Bibliographic Details
Main Authors: Chuanjing Zhang, Huanlao Liu, Qunlong Zhou, Can Liu
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Grey wolf optimizer
improved hybrid grey wolf optimization algorithm
metaheuristic
optimization
swarm intelligence algorithm
function optimization
Online Access:https://ieeexplore.ieee.org/document/10029351/

Internet

https://ieeexplore.ieee.org/document/10029351/

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