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An Enhanced Grey Wolf Optimizer with a Velocity-Aided Global Search Mechanism

An Enhanced Grey Wolf Optimizer with a Velocity-Aided Global Search Mechanism

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_9d30c8a1c43e45ef905e480b27d1794f

An Enhanced Grey Wolf Optimizer with a Velocity-Aided Global Search Mechanism

About this item

Full title

An Enhanced Grey Wolf Optimizer with a Velocity-Aided Global Search Mechanism

Publisher

Basel: MDPI AG

Journal title

Mathematics (Basel), 2022-02, Vol.10 (3), p.351

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

This paper proposes a novel variant of the Grey Wolf Optimization (GWO) algorithm, named Velocity-Aided Grey Wolf Optimizer (VAGWO). The original GWO lacks a velocity term in its position-updating procedure, and this is the main factor weakening the exploration capability of this algorithm. In VAGWO, this term is carefully set and incorporated into...

Alternative Titles

Full title

An Enhanced Grey Wolf Optimizer with a Velocity-Aided Global Search Mechanism

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_9d30c8a1c43e45ef905e480b27d1794f

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_9d30c8a1c43e45ef905e480b27d1794f

Other Identifiers

ISSN

2227-7390

E-ISSN

2227-7390

DOI

10.3390/math10030351

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