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Aquila optimizer: review, results and applications
Journal
Metaheuristic Optimization Algorithms
Date Issued
2024
Author(s)
Abualigah, Laith
Sbenaty, Batool
Ikotun, Abiodun M.
Alsoud, Anas Ratib
Khodadadi, Nima
Ezugwu, Absalom E.
Hanandeh, Essam Said
Jia, Heming
Abstract
This survey presents a new optimization method named aquila optimizer (AO), motivated by the hunting behavior of aquila. This optimizer is divided into four steps: choosing the search area from high rise and vertical downhill; reconnoitering from a close search area by outlining aviation with low slip pounce; reconnoitering from a close search area by short aviation with slow going down pounce; attack by walk and seize victim. In this survey, we take some research papers and analyze how they are utilized to solve various optimization problems.
Scopus© citations
0
Acquisition Date
Nov 21, 2024
Nov 21, 2024