Response Surface Tab for Design of Experiments
The Response Surface tab for the Design of Experiments Setup window lets you set the Response Surface type as Genetic Aggregation or Standard Response Surface. 
The selection here specifies the refinement applied to the initial Design of Experiments. The Genetic Aggregation Response Surface finds the best possible response surface for each output automatically by combining
- metamodels
- settings
- kernel variation
- polynomial regression
For each output, a fitness factor works to minimize error, including cross-validation errors. The automatic refinement adds design points to the DOE until the response surface accuracy meets user requirements. You can specify requirements for
- Maximum Relative Error % – Applies to all output calculations. Empty this field to turn off Auto refinement. (Note: Workbench does not have this field.)
- Maximum Number of Refinement attempts
-
Number of Refinement Points – Read-only property indicating the number of existing refinement points.
If you check Show Advanced Options at the bottom of the Setup dialog box, you can also specify the Crowding Distance Separation Percentage, which determines the minimum allowable distance between new refinement points, implemented as a constraint in the search for refinement points.
You also have the option of selecting Standard Response Surface- Full 2nd Order Polynomial as the Response Surface Type.
After you have completed an analysis you can view the generated plot.