Debugging model infeasibilty after running PESTPP-OPT about pyemu

[jtwhite79]

Assuming you are trying to minimize future pumping rates, if you set all decision variables to their minimum value, are all of the constraints satisfied (as single noptmax=0 run)?

with pestpp-opt, you can "hotstart" with that resp matrix and the rei file so save those and you can play with changing dv bounds, constraints, obj fxn, etc w/o needing to run the model

[Paszka1]

Thanks Jeremy. I managed to solve the problem. I've started the optimization (maximization of pumping rates with minimum water levels as constraints) with some of the constraints already not being satisfied at the end of the calibration / beginning of the optimization period. I was expecting water levels to rebound above the constraint levels under optimal conditions, but apparently they don't. I removed those constraints from the optimization and Heureka.

I have to note that it was quite hard for me to understand all the "new" messages thay I got. This was both good and bad as it forced me to get into the subject more deeply, but as a non-native english it also gave me a hard time to decipher them.