| Number of Adaptive Iterations |
The number of Adaptive iterations to be performed by the optimizer. To find the more accurate optimum,
for each Adaptive iteration design space is shrunk and expanded around the earlier iteration optimum
point. Integers greater than zero are accepted. The default value is 10,
but problems with little non-linear coupling between the parameters can be solved with as few as four iterations,
while highly coupled parameter spaces may take up to 30.
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| Number of Points per Iteration |
The number of simulations to be run for each Adaptive iteration to find optimum.
The number of points per iteration must at least be twice the number of design variables.
For more than two design variables the number of points per iteration should be at least four times the number of design variables.
For highly coupled problems, you should use a low number of points per iteration with a high number of adaptive iterations.
For uncoupled problems you should use a high number of points per iteration with a lower number of adaptive iterations.
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| Initial Box |
The scaling factor applied to the box formed by each design variable's lower and upper bound,
producing for each variable an interval centered on its range’s midpoint. The scaling factor is applied only during the first
iteration. The default value of 1.0 indicates that the first iteration will choose design points scattered
throughout the bounded range.
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| Significant Step Size |
The Adaptive DOE technique optimizes the position of points in the space by maximizing the distance from any other point.
You should enter a small Significant Step Size (e.g. 0.001) to find more subtle gradients.
You should enter a larger Significant Step Size (e.g. 0.05) to filter noise.
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| Max Failed Runs |
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.
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| 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 .
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| 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 .
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The Optimization Component Editor appears.