A greedy non‐hierarchical grey wolf optimizer for real‐world optimization

A greedy non‐hierarchical grey wolf optimizer for real‐world optimization

Abstract Grey wolf optimization (GWO) algorithm is a new emerging algorithm that is based on the social hierarchy of grey wolves as well as their hunting and cooperation strategies. Introduced in 2014, this algorithm has been used by a large number of researchers and designers, such that the number...

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Bibliographic Details
Main Authors: Ebrahim Akbari, Abolfazl Rahimnejad, Stephen Andrew Gadsden
Format: Article
Language:English
Published: Wiley 2021-06-01
Series:Electronics Letters
Subjects:
Optimisation techniques
Optimisation
Online Access:https://doi.org/10.1049/ell2.12176

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