A Comprehensive Survey on Aquila Optimizer

Aquila Optimizer (AO) is a well-known nature-inspired optimization algorithm (NIOA) that was created in 2021 based on the prey grabbing behavior of Aquila. AO is a population-based NIOA that has demonstrated its effectiveness in the field of complex and nonlinear optimization in a short period of ti...

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Autores principales: Sasmal, Buddhadev, Hussien, Abdelazim G., Das, Arunita, Dhal, Krishna Gopal
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Netherlands 2023
Materias:
Survey Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10245365/
https://www.ncbi.nlm.nih.gov/pubmed/37359742
http://dx.doi.org/10.1007/s11831-023-09945-6
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author Sasmal, Buddhadev
Hussien, Abdelazim G.
Das, Arunita
Dhal, Krishna Gopal
author_facet Sasmal, Buddhadev
Hussien, Abdelazim G.
Das, Arunita
Dhal, Krishna Gopal
author_sort Sasmal, Buddhadev
collection PubMed
description Aquila Optimizer (AO) is a well-known nature-inspired optimization algorithm (NIOA) that was created in 2021 based on the prey grabbing behavior of Aquila. AO is a population-based NIOA that has demonstrated its effectiveness in the field of complex and nonlinear optimization in a short period of time. As a result, the purpose of this study is to provide an updated survey on the topic. This survey accurately reports on the designed enhanced AO variations and their applications. In order to properly assess AO, a rigorous comparison between AO and its peer NIOAs is conducted over mathematical benchmark functions. The experimental results show the AO provides competitive outcomes.
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spelling pubmed-102453652023-06-08 A Comprehensive Survey on Aquila Optimizer Sasmal, Buddhadev Hussien, Abdelazim G. Das, Arunita Dhal, Krishna Gopal Arch Comput Methods Eng Survey Article Aquila Optimizer (AO) is a well-known nature-inspired optimization algorithm (NIOA) that was created in 2021 based on the prey grabbing behavior of Aquila. AO is a population-based NIOA that has demonstrated its effectiveness in the field of complex and nonlinear optimization in a short period of time. As a result, the purpose of this study is to provide an updated survey on the topic. This survey accurately reports on the designed enhanced AO variations and their applications. In order to properly assess AO, a rigorous comparison between AO and its peer NIOAs is conducted over mathematical benchmark functions. The experimental results show the AO provides competitive outcomes. Springer Netherlands 2023-06-07 /pmc/articles/PMC10245365/ /pubmed/37359742 http://dx.doi.org/10.1007/s11831-023-09945-6 Text en © The Author(s) under exclusive licence to International Center for Numerical Methods in Engineering (CIMNE) 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Survey Article
Sasmal, Buddhadev
Hussien, Abdelazim G.
Das, Arunita
Dhal, Krishna Gopal
A Comprehensive Survey on Aquila Optimizer
title A Comprehensive Survey on Aquila Optimizer
title_full A Comprehensive Survey on Aquila Optimizer
title_fullStr A Comprehensive Survey on Aquila Optimizer
title_full_unstemmed A Comprehensive Survey on Aquila Optimizer
title_short A Comprehensive Survey on Aquila Optimizer
title_sort comprehensive survey on aquila optimizer
topic Survey Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10245365/
https://www.ncbi.nlm.nih.gov/pubmed/37359742
http://dx.doi.org/10.1007/s11831-023-09945-6
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