Data Summary
This page summarizes the result of the optimization process. It shows the selected optimization method and optimization direction (minimize/maximize). Also, the total number of iterations and total number of function evaluations are shown. Note that even if the Data model approach was selected, the requests to the model still count as "function evaluations".
The main purpose of this page is to show the optimum value which was found by the optimization process, its constraint violation and the corresponding values of the input parameters, which are shown in a table. Ideally, if the optimization process converged properly, the constraint violation should be zero.
Using the Export Optimal sample button, the user can save the optimal sample into a text/CSV file.
If the constraint violation of the optimal sample is not zero, the process probably didn't converge before it encountered the function evaluation limit. In such case, there will also be a warning from the Core Solver, notifying the user about this outcome. To solve this, try increasing the allowed number of function evaluations.
Also make sure that the constraint set allows leaves at least some portion of the design space, where all constraints are satisfied.
Another possible option is that the constraints are not penalizing enough (because the function values are by orders of magnitude greater than the penalties given by the constraints which are not satisfied). In such case, try increasing the factor of the individual constraints.
