Tangent search algorithm for clustering problem

This code implements Tangent search algorithm for clustering problem
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Actualizado 1 abr 2022

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Tangent Search Algorithm TSA uses a mathematical model based on the tangent function to move a given solution toward a better solution. The tangent flight function has the advantage to balance between the exploitation and the exploration search. Moreover, a novel escape procedure is used to avoid to be trapped in local minima. Besides, an adaptive variable step size is also integrated in this algorithm to enhance the convergence capacity.
TSA: the original code of the paper" Layeb, Abdesslem. "Tangent search algorithm for solving optimization problems." Neural Computing and Applications (2022): 1-32."

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abdesslem layeb (2024). Tangent search algorithm for clustering problem (https://www.mathworks.com/matlabcentral/fileexchange/109144-tangent-search-algorithm-for-clustering-problem), MATLAB Central File Exchange. Recuperado .

Compatibilidad con la versión de MATLAB
Se creó con R2022a
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Versión Publicado Notas de la versión
1.0.0