Learning Forum

[Markus]

 

Hi cibi,

in general you can conduct a a) optimization on the MOP or a  b) direct optimization.

You are working on a). Here I would concentrate on the quality of the Metamodels. You already named vol_avg_pli_tip_top with a CoP of 73%.
I would focus improving metamodel with a lower quality like these. Maybe you have outliers, maybe you need more designs, …
If you do not want negative values for a Metamodel of a response, you can set a min (also max) value for each response in the MOP settings, see here:

Then you need to run the MOP again to create new Metamodels.

If you can not further improve the MOP or you are finally still not satisfied with the results, you can  continue with b) direct optimization.
Then each design is evaluated with the Solver.

Best regards,
Markus