Official MATLAB and Python source code for the Zahhak Optimization Algorithm (ZOA) and the Buzjani Tiling Strategy (BTS) local refinement mo
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ZOA-BTS
Official MATLAB and Python code for the Zahhak Optimization Algorithm: A Memetic Geometric Buzjani Tiling Strategy for Engineering and IoT with Wireless Sensor Network Validation paper
Zahhak Optimization Algorithm
A population-based metaheuristic inspired by Persian mythology. It elegantly balances global exploration and local convergence using an adaptive nonlinear control mechanism, making it highly efficient for solving complex engineering problems under strict computational budgets.
Buzjani Tiling strategy
A lightweight, plug-and-play geometric local refinement module inspired by mathematical spatial division. It uses a rotation-invariant hexagonal grid to perform high-precision local searches with near-zero overhead, seamlessly boosting the accuracy and stability of ZOA and other baseline algorithms.
% Paper:
% AmirAli Fatoorchi, Shahriar Mohammadi, Hodjat Hamidi
% Zahhak Optimization Algorithm: A Memetic Geometric Buzjani Tiling Strategy for Engineering and IoT with Wireless Sensor Network Validation
% Results in Engineering
% DOI: https://doi.org/10.1016/j.rineng.2026.111596
Please contact me if there are bugs in the code: amirf97@gmail.com
Citar como
Fatoorchi, AmirAli, et al. “Zahhak Optimization Algorithm: A Memetic Geometric Buzjani Tiling Strategy for Engineering and IoT with Wireless Sensor Network Validation.” Results in Engineering, vol. 31, Sept. 2026, p. 111596, https://doi.org/10.1016/j.rineng.2026.111596.
Información general
- Versión 1.0.9 (22,7 KB)
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Ver licencia en GitHub
Compatibilidad con la versión de MATLAB
- Compatible con cualquier versión
Compatibilidad con las plataformas
- Windows
- macOS
- Linux
No se pueden descargar versiones que utilicen la rama predeterminada de GitHub
| Versión | Publicado | Notas de la versión | Action |
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| 1.0.9 | add spring_design_problem.m code |
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| 1.0.8 | - |
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| 1.0.7 | - |
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| 1.0.6 | - |
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| 1.0.5 | License added. |
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| 1.0.4 | - |
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| 1.0.3 | - |
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| 1.0.2 | - |
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| 1.0.1 | - |
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| 1.0.0 |
Para consultar o notificar algún problema sobre este complemento de GitHub, visite el repositorio de GitHub.
Para consultar o notificar algún problema sobre este complemento de GitHub, visite el repositorio de GitHub.
