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A new metaheuristic optimization algorithm, called Cuckoo Search (CS), is fully implemented, and the vectorized version is given here. This code demonstrates how CS works for unconstrained optimization, which can easily be extended to solve various global optimization problems efficiently.
Three versions are provided:
Cuckoo_search.m is for a given tolerance.
Cuckoo_search_new.m is for a fixed number of iterations.
Cuckoo_search_spring.m is constrained optimization for designing a spring.
Citar como
Xin-She Yang (2026). Cuckoo Search (CS) Algorithm (https://es.mathworks.com/matlabcentral/fileexchange/29809-cuckoo-search-cs-algorithm), MATLAB Central File Exchange. Recuperado .
Agradecimientos
Inspiración para: ACS_CS(L,F,MET), Cuckoo Search learning strategy in the principal-agent model, Golden jackal optimization algorithm, New Cuckoo search algorithm code
Información general
- Versión 1.3.0.0 (8,84 KB)
Compatibilidad con la versión de MATLAB
- Compatible con cualquier versión
Compatibilidad con las plataformas
- Windows
- macOS
- Linux
| Versión | Publicado | Notas de la versión | Action |
|---|---|---|---|
| 1.3.0.0 | A version for constrained optimization with a spring design benchmark is now included. This version has three files. |
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| 1.2.0.0 | There was a minor typo in the previous file, and a newer version is attached. |
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| 1.1.0.0 | Add a newer version. |
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| 1.0.0.0 |
