Tangent search algorithm for clustering problem
Versione 1.0.0 (456 KB) da
abdesslem layeb
This code implements Tangent search algorithm for clustering problem
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."
Cita come
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. Recuperato .
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R2022a
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Versione | Pubblicato | Note della release | |
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1.0.0 |