Red-Tailed Hawk Algorithm (RTH)
A new nature-inspired metaheuristic optimization algorithm called the red-tailed hawk algorithm.
You are now following this Submission
- You will see updates in your followed content feed
- You may receive emails, depending on your communication preferences
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
Cite As
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.
General Information
- Version 1.0.0 (4.56 KB)
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 1.0.0 |
