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A Comprehensive Survey on Aquila Optimizer
Buddhadev Sasmal1, Abdelazim G Hussien2,3,4, Arunita Das1
1Department of Computer Science and Application, Midnapore College (Autonomous), Paschim Medinipur, West Bengal India.
Archives of Computational Methods in Engineering : State of the Art Reviews
|June 26, 2023
Summary
The Aquila Optimizer (AO), a nature-inspired algorithm, shows strong performance in complex optimization tasks. This survey details AO enhancements and confirms its competitive results against other algorithms.
Area of Science:
- Computational Intelligence
- Optimization Algorithms
- Nature-Inspired Computing
Background:
- Aquila Optimizer (AO) is a population-based nature-inspired optimization algorithm (NIOA) developed in 2021.
- AO mimics the prey-grabbing behavior of the Aquila bird.
- It has rapidly gained recognition for its effectiveness in solving complex and nonlinear optimization problems.
Purpose of the Study:
- To present an updated survey of the Aquila Optimizer.
- To document and analyze enhanced AO variations and their diverse applications.
- To rigorously evaluate AO's performance against competing NIOAs.
Main Methods:
- A comprehensive review of existing literature on AO variations and applications.
- Comparative analysis of AO against peer NIOAs using standard mathematical benchmark functions.
- Empirical evaluation of algorithm performance metrics.
Main Results:
- AO demonstrates significant effectiveness in handling complex and nonlinear optimization challenges.
- Enhanced AO variants show improved performance across various application domains.
- Comparative studies confirm AO's competitive outcomes relative to other state-of-the-art NIOAs.
Conclusions:
- The Aquila Optimizer is a robust and competitive algorithm in the field of optimization.
- Further research into AO variations and applications is warranted.
- AO serves as a valuable tool for addressing complex computational problems.
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