Tunicate Swarm Algorithm (TSA)
Versión 7.0.0 (3,46 MB) por
xsjsh
A Novel Bio-inspired Optimization Algorithm
TSA algorithm imitates jet propulsion and swarm behaviors of tunicates during the navigation
and foraging process. The performance of TSA is evaluated on seventy-four benchmark test problems employing sensitivity, convergence and scalability analysis along with ANOVA test. The efficacy of this algorithm is further compared with several well-regarded metaheuristic approaches based on the generated optimal solutions. In addition, we also executed the proposed algorithm on six constrained and one unconstrained engineering design problems to further verify its robustness. The simulation results demonstrate that TSA generates better
optimal solutions in comparison to other competitive algorithms and is capable of solving real case studies having unknown search spaces.
Cite this paper as: Kaur, S., Awasthi, L. K., Sangal, A. L., & Dhiman, G. (2020). Tunicate Swarm Algorithm: A new bio-inspired based metaheuristic paradigm for global optimization. Engineering Applications of Artificial Intelligence, 90, 103541.
Citar como
xsjsh (2024). Tunicate Swarm Algorithm (TSA) (https://www.mathworks.com/matlabcentral/fileexchange/101954-tunicate-swarm-algorithm-tsa), MATLAB Central File Exchange. Recuperado .
Compatibilidad con la versión de MATLAB
Se creó con
R2021b
Compatible con cualquier versión
Compatibilidad con las plataformas
Windows macOS LinuxEtiquetas
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!Descubra Live Editor
Cree scripts con código, salida y texto formateado en un documento ejecutable.
TSA
Versión | Publicado | Notas de la versión | |
---|---|---|---|
7.0.0 | TSA algorithm matlab code |
|
|
2.0.0 |