Tangent search algorithm for clustering problem

This code implements Tangent search algorithm for clustering problem
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Updated 1 Apr 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."

Cite As

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. Retrieved .

MATLAB Release Compatibility
Created with R2022a
Compatible with any release
Platform Compatibility
Windows macOS Linux
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Version Published Release Notes
1.0.0