hugogontijomachado/GSA_gui

The GSA methods is used to fit functions in experimental data. It is based on the correlation between the minimization of a cost function (or objective) obtained through a slow cooling. In this method, an artificial temperature is introduced and gradually cooled in complete analogy with the well known annealing technique, frequently used in metallurgy when a molten metal reaches its crystalline state (global minimum of the thermodynamics energy). In our case the temperature is intended as an external noise

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