Parameters estimation's efficacy with simulated annealing

Hi, I've implemented a code that estimates the best set of parameters for a parametric ODE system using Simulated Annealing insted of the non linear regression or curve fitting models (nnlinfit, lsqcurvefit, etc.), that haven't been able to solve my problem.

Since SA is an algorithm that find the mimimum of a function, I've used it in order to find the best set of parameters that minimizes the Residual Sum of Squares function.

I would like to know if there is a way to investigate the goodness of this estimation, since for the regression/curve fitting models the Jacobian and the confidence intervals can be used for this scope. Is there any way to calculate the confidence interval for this application of SA?

I can insert my code if needed.

Thank you in advance for your answer.