GenOPT optimises and identifes parameters, but it gives different answers every time. Is it giving near optimal answers.
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GenOPT optimises and identifes parameters, but it gives different answers every time. Is it giving near optimal answers.
I use GenOPT optimises coupled with Dymola to identify parameters for a thermal collector. As a result as per the GenOPT manual, the program approximates a function similar to the objective function and identifes parameters, but it gives does parameter identification.
Question1 : Do I have control over the error of approximation in dymola.
Question2 : Since I was using GPS implementation of Hookes Jeeves algorithm, I was getting different answers every time. Is it giving near optimal answers.minima points for different step lengths. I guess this is because of the nature of the algorithm and objective function.Solution?
