A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
A Comprehensive Survey on Aquila Optimizer
https://orcid.org/0000-0002-6748-0569
Abstract 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.
A Comprehensive Survey on Aquila Optimizer
https://orcid.org/0000-0002-6748-0569
Abstract 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.
A Comprehensive Survey on Aquila Optimizer
https://orcid.org/0000-0002-6748-0569
Abstract 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.
A Comprehensive Survey on Aquila Optimizer
Sasmal, Buddhadev (author) / Hussien, Abdelazim G. (author) / Das, Arunita (author) / Dhal, Krishna Gopal (author)
2023
Article (Journal)
Electronic Resource
English
Advances in Spotted Hyena Optimizer: A Comprehensive Survey
| Online Contents | 2021
Online Contents | 1994
Online Contents | 2017
Ant Lion Optimizer: A Comprehensive Survey of Its Variants and Applications
| Springer Verlag | 2021
Ant Lion Optimizer: A Comprehensive Survey of Its Variants and Applications
| Online Contents | 2020