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| R2012a Documentation → Model-Based Calibration Toolbox | |
Learn more about Model-Based Calibration Toolbox |
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If you have Global Optimization Toolbox, you can use the MultiStart algorithm in CAGE. This algorithm can identify multiple local optimum solutions to help you create smoother tables. Multiple local optimum solutions are often found because of the flat nature of engine responses. The difference in performance between solutions can be small and result in tables that are not smooth enough. The MultiStart algorithm tries to identify multiple optimum solutions by running multiple start points for each operating point. You can select the solutions that meet your table smoothness constraints based on the entire table.
The optimization output views help you view and select the best solution for each operating point.
Select Tools > Create Optimization from Model (or click the toolbar button) to open the Create Optimization From Model wizard.
Select a model to minimize or maximize in the optimization. If you are viewing a model, the wizard selects that current model.
Click Next.
Select the MultiStart algorithm as shown next. Do not change the Point optimization type.

Specify other optimization information:
Maximize or minimize
Data source for optimization (for example, if you have a suitable table grid to use for optimization points)
Free variables
Boundary constraint
Click Finish to create the optimization.
(Optional) To change the number of start points to run:
In the Optimization view, select Optimization > Set Up or click the Set up optimization toolbar button.
The Optimization Parameters dialog box opens.
Change the Number of start points. This setting determines how many optimizations to run for each point.
Click OK.
Start points is the most common parameter you may want to change. For information on other parameters see MultiStart Optimization Parameters.
![]() | Set Up Modal Optimizations | Edit Variable Values | ![]() |

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