Is there a way to avoid certain scenarios in an experiment?
I have a model that has pairs of variables that are values in a table. There is 2 columns and 22 rows, so there is 42 variables.
For each row, column 1 can be higher or the same as column 2, so there is a lot of scenarios that do not work.
Since I have a lot of posible variations, I am looking to reduce the number of scenarios. Right now I am checking in second cero if any of the pair of variables is breaking the rule and stoping the scenario in second cero. This makes the simulation faster, but I would like to find a way that the optimizer does not have to prepare the sceanrio if is not going to run it.
Is there a way to do this?