Double-click the Exploration component icon  .
The Exploration Component Editor appears.
From the Execution Strategy list, select Approximation Loop.
In the Approximation Loop Options area, click Advanced Options, and click the Optimization Technique tab. From the Optimization Technique list, select Downhill Simplex.
In the Technique Options area, enter or select the following:
| Option |
Description |
|---|
| Initial Simplex Size |
This is the size of the starting simplex as a fraction of your domain.
It must be a real value greater than zero and less than or equal to one.
It has the highest probability of finding a global optimum when started
with a bigger initial size. Because it spans a larger fraction of the
design space, the chances of getting trapped in a local minimum are smaller.
The default value is 0.1, which is equivalent to 10% of the domain. |
| Maximum Iterations |
This parameter sets the maximum number of design iterations that you
want the optimizer to run. The value type is integer. The default value
is 40. |
| Maximum Failed Runs |
This parameter is used to set the maximum number of failed subflow evaluations
that can be tolerated by the optimization technique. If the number of
failed runs exceeds this value, the optimization component will terminate
execution. To disable this feature, set this option to any negative value
(e.g., –1). When this option is set to a negative value, the optimization
will continue execution despite any number of failed subflow runs. |
| Failed Run Penalty Value |
This parameter represents the value of the Penalty
parameter that is used for all failed subflow runs. The default value
is 1.0E30. |
| Failed Run Objective Value |
This parameter represents the value of the Objective
parameter that is used for all failed subflow runs. The default value
is 1.0E30. |
Click OK to save your changes and to close the Advanced Options dialog box. Click OK to save your changes and to close the Exploration Component Editor.
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