Comparative Study on Single and Multiple Chaotic Maps Incorporated Grey Wolf Optimization Algorithms

Comparative Study on Single and Multiple Chaotic Maps Incorporated Grey Wolf Optimization Algorithms

As a meta-heuristic algorithm that simulates the intelligence of gray wolves, grey wolf optimizer (GWO) has a wide range of applications in practical problems. As a kind of local search, chaotic local search (CLS) has a strong ability to get rid of the local optimum due to its integration of chaotic...

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Bibliographic Details
Main Authors: Zhe Xu, Haichuan Yang, Jiayi Li, Xingyi Zhang, Bo Lu, Shangce Gao
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Computational intelligence
soft computing
chaotic local search
optimization algorithms
grey wolf optimizer
meta-heuristics
Online Access:https://ieeexplore.ieee.org/document/9439860/

Internet

https://ieeexplore.ieee.org/document/9439860/

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