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A Comprehensive Survey on Aquila Optimizer.

Buddhadev Sasmal¹, Abdelazim G Hussien^2,3,4, Arunita Das¹

¹Department of Computer Science and Application, Midnapore College (Autonomous), Paschim Medinipur, West Bengal India.

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Summary

This summary is machine-generated.

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.

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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.