Vensim optimization / Powell’s “Hill Climbing” algorithm
Posted: Fri Jan 17, 2020 9:12 pm
Dear all,
I would like to describe in my dissertation how the vensim optimization option (calibration) works in technical terms (not going into great detail, but providing transparency on this).
In particular, I am interested how the payoff function is calculated, what rule(s) decide that Vensim stops searching for better solution, what happens in the existence of several optimal local optimum and how the size of the marginal changes (in the selected parameters that may vary) are determined? I haven't found a reference where these questions are clearly answered and an explanation is provided.
Many thanks for any answers/explanations or useful references! (there has been a previous discussion on this, but the indicated reference is not available any more i.e. the webpage doesn't open).
Very best,
Sarah
I would like to describe in my dissertation how the vensim optimization option (calibration) works in technical terms (not going into great detail, but providing transparency on this).
In particular, I am interested how the payoff function is calculated, what rule(s) decide that Vensim stops searching for better solution, what happens in the existence of several optimal local optimum and how the size of the marginal changes (in the selected parameters that may vary) are determined? I haven't found a reference where these questions are clearly answered and an explanation is provided.
Many thanks for any answers/explanations or useful references! (there has been a previous discussion on this, but the indicated reference is not available any more i.e. the webpage doesn't open).
Very best,
Sarah