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An effective control design approach based on novel enhanced aquila optimizer for automatic voltage...

An effective control design approach based on novel enhanced aquila optimizer for automatic voltage...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2770815945

An effective control design approach based on novel enhanced aquila optimizer for automatic voltage regulator

About this item

Full title

An effective control design approach based on novel enhanced aquila optimizer for automatic voltage regulator

Publisher

Dordrecht: Springer Netherlands

Journal title

The Artificial intelligence review, 2023-02, Vol.56 (2), p.1731-1762

Language

English

Formats

Publication information

Publisher

Dordrecht: Springer Netherlands

More information

Scope and Contents

Contents

This paper presents a new metaheuristic algorithm by enhancing one of the recently proposed optimizers named Aquila optimizer (AO). The enhanced AO (enAO) algorithm is constructed by employing a novel modified opposition-based learning (OBL) mechanism and Nelder-Mead (NM) simplex search method. The novel modified OBL aids the AO in further diversif...

Alternative Titles

Full title

An effective control design approach based on novel enhanced aquila optimizer for automatic voltage regulator

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2770815945

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2770815945

Other Identifiers

ISSN

0269-2821

E-ISSN

1573-7462

DOI

10.1007/s10462-022-10216-2

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