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It might be interesting to try coupling the GA-based optimization with a Hill climbing method like Nelder-Mead (simplex method) in the optimize.response_fit function. This would work by passing the optimum from the GA to scipy.optimize.minimize for further iteration to the optimum. Since both methods are pretty fast I don't think there should be a significant performance penalty, but this can be assessed.
The text was updated successfully, but these errors were encountered:
It might be interesting to try coupling the GA-based optimization with a Hill climbing method like Nelder-Mead (simplex method) in the
optimize.response_fit
function. This would work by passing the optimum from the GA toscipy.optimize.minimize
for further iteration to the optimum. Since both methods are pretty fast I don't think there should be a significant performance penalty, but this can be assessed.The text was updated successfully, but these errors were encountered: