| Maximum allowable job time (hr) |
This parameter represents the time that the Pointer technique has to
complete a job. The Pointer technique will use all the time you give
it, even if it finds the global optimum early on. The longer it is stuck
without finding an improvement, the more radical changes it will try.
It accepts a real input greater than 0.0. The default value is 1.0. |
| Average analysis time (sec) |
This parameter is the average wall clock time it takes to run a single
simulation, including all Isight-related
overhead (for file parsing, etc.). The Pointer technique takes the ratio
of allowable job time and average simulation time to estimate how many
simulations it will be able to do and adjusts its search strategy accordingly.
It accepts a real input greater than 0.0. The default value is 1.0. |
| Topography type |
The default topography type is nonlinear. The following options are
available:
- linear assumes that objectives
and constraints are linear combinations of the design variables.
- smooth indicates that
the function is differentiable everywhere and contains no discrete steps
but could still contain multiple local minima.
- rough indicates that the
function is not necessarily smooth but only contains small scale discontinuities
or noise.
- discontinuous indicates
that the design space could contain large scale discrete steps, and points
where the function is not differentiable.
- If nonlinear is selected,
the only assumption made is that objectives and constraints are not linear
combinations of the design variables (i.e., the problem is not a linear
one).
- If unknown is selected, no assumptions have been made about the nature
of the design space.
|
| 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 . |
| Save Technique Log |
Most optimization techniques create a log file of information/messages
as they run. This information can be useful for determining why an optimizer
took the path that it did or why it converged. Some of these log files
can get extremely large, so they are not stored with the run results
by default. Select this option if you want to store the log with the
run results (as a file parameter) for later viewing. |
| 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. |
| Use fixed random seed |
If this option is selected, the random number generator used by the
optimization algorithm is seeded using the value specified in the Random seed
value text box. All executions of the Optimization component
will use exactly the same sequence of random numbers and, therefore,
will produce exactly the same design points. This arrangement is useful
for debugging the optimization process when it is necessary to reproduce
the same sequence of design points. If this option is not selected, the random number generator is seeded
by using the clock time at the moment of execution. |