I have a model with:
10 parameters I'd like to alter with MonteCarlo, and
1 parameter I'd like to be optimised each run, such that a particular result is obtained
The purpose of this model will be to show the range of input variables that can result in an observed result.
I'm intending to run the whole model as a montecarlo simulation, with most of it in a submodel that has optimisation turned on. However, the submodel isn't optimising, it's only doing one run and not altering the defined optimisation variable.
What is the best way to approach this problem?