Red-Tailed Hawk Algorithm (RTH)

Version 1.0.0 (4,56 ko) par Ferahtia SeydAli
A new nature-inspired metaheuristic optimization algorithm called the red-tailed hawk algorithm.
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Mise à jour 13 sept. 2023

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This is a new nature-inspired metaheuristic optimization algorithm called the red-tailed hawk algorithm (RTH). The proposed algorithm mimics the prey-hunting method of the red-tailed hawk for solving real-world optimization problems. The RTH code includes three stages during the optimization process:
  • In the high soaring stage, the red-tailed hawk explores the search space and determines the area with the prey location.
  • In the low soaring stage, the red-tailed moves inside the selected area around the prey to choose the best position for the hunt.
  • Then, the red-tailed swings and hits its target in the stooping and swooping stages.
Main paper: Red-tailed hawk algorithm for numerical optimization and real-world problems.
DOI: 10.1038/s41598-023-38778-3

Citation pour cette source

Ferahtia, Seydali, et al. “Red-Tailed Hawk Algorithm for Numerical Optimization and Real-World Problems.” Scientific Reports, vol. 13, no. 1, Springer Science and Business Media LLC, Aug. 2023, doi:10.1038/s41598-023-38778-3.

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Compatibilité avec les versions de MATLAB
Créé avec R2018b
Compatible avec toutes les versions
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1.0.0