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A Comprehensive Survey on Aquila Optimizer
Midnapore Coll Autonomous, India.
Linköping University, Department of Computer and Information Science, Software and Systems. Linköping University, Faculty of Science & Engineering. Fayoum Univ, Egypt; Middle East Univ, Jordan.ORCID iD: 0000-0001-5394-0678
Midnapore Coll Autonomous, India.
Midnapore Coll Autonomous, India.
2023 (English)In: Archives of Computational Methods in Engineering, ISSN 1134-3060, E-ISSN 1886-1784, Vol. 30, p. 4449-4476Article in journal (Refereed) Published
Abstract [en]

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.

Place, publisher, year, edition, pages
SPRINGER , 2023. Vol. 30, p. 4449-4476
National Category
Computer Engineering
Identifiers
URN: urn:nbn:se:liu:diva-195287DOI: 10.1007/s11831-023-09945-6ISI: 001002876900001OAI: oai:DiVA.org:liu-195287DiVA, id: diva2:1770244
Available from: 2023-06-19 Created: 2023-06-19 Last updated: 2024-03-28Bibliographically approved

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Hussien, Abdelazim

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