| Max Iterations |
The maximum number of simulations to be performed by the optimizer.
Integers greater than zero are accepted. The default value is 20. |
| Power |
This is the parameter used to control convergence of the
algorithm. This must be a real value greater than zero and less than
one. The default value is 0.4. |
| Constraint Critical Ratio |
This parameter controls how satisfied constraints are handled. A value
of 1.0 means that the associated dimension for any satisfied constraint
is reduced according to the standard stress ratio equation. A value of
0.5 means that the dimension of a satisfied constraint will not be reduced
until the actual/allowable value is less than 0.5. A value of 0.0 means
that the dimension of a satisfied constraint will never be reduced. |
| Tolerance |
This parameter represents the magnitude change in objective value between
successive iterations that will cause the algorithm to stop. Real inputs
greater than 0.0 are accepted. The default value is 0.0. |
| Max 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 . |
| 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 . |