Giant Armadillo Optimization: A New Bio-Inspired Metaheuristic Algorithm for Solving Optimization Problems

Giant Armadillo Optimization: A New Bio-Inspired Metaheuristic Algorithm for Solving Optimization Problems

In this paper, a new bio-inspired metaheuristic algorithm called Giant Armadillo Optimization (GAO) is introduced, which imitates the natural behavior of giant armadillo in the wild. The fundamental inspiration in the design of GAO is derived from the hunting strategy of giant armadillos in moving t...

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Bibliographic Details
Main Authors: Omar Alsayyed, Tareq Hamadneh, Hassan Al-Tarawneh, Mohammad Alqudah, Saikat Gochhait, Irina Leonova, Om Parkash Malik, Mohammad Dehghani
Format: Article
Language:English
Published: MDPI AG 2023-12-01
Series:Biomimetics
Subjects:
optimization
bio-inspired
metaheuristic
giant armadillo
exploration
exploitation
Online Access:https://www.mdpi.com/2313-7673/8/8/619

Internet

https://www.mdpi.com/2313-7673/8/8/619

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