A novel multi-group bio-inspired optimization algorithm
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Due to the importance and high application of these algorithms, a new metaheuristic optimization algorithm called Gray Langurs Optimizer (GLO) has been introduced in this research. The fundamental inspiration for the GLO is the group behavior of gray langurs in nature. The gray langurs are observed in three groups: one-male, multi-male, and all-male groups. The GLO mathematically simulates the group behavior and social hierarchy of gray langurs in all three groups. The migration of gray langurs between groups due to the death of the alpha or other group members, mate finding, and puberty is formulated by GLO. Additionally, the GLO models the arbitrary behavior of gray langurs within their territory.
Citation pour cette source
Barshandeh, Saeid, et al. “Gray Langurs Optimizer: a Multi-Group Bio-Inspired Optimization Algorithm.” Artificial Intelligence Review, Apr. 2026, https://doi.org/10.1007/s10462-026-11529-2.
Informations générales
- Version 1.0.3 (13,3 ko)
Compatibilité avec les versions de MATLAB
- Compatible avec toutes les versions
Plateformes compatibles
- Windows
- macOS
- Linux
| Version | Publié le | Notes de version | Action |
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| 1.0.3 | last version. |
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| 1.0.2 | It was fixed. |
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| 1.0.1 | The elitism function was added. |
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| 1.0.0 |
