Single Result Optimization

Optimization menu > Single Result

For the local optimization, it is possible to optimize several variables in form of a total of weighted single variables:

C = Y₁*W₁ + Y₂*W₂ + …. + Y_n*W_n

whereby C = criterion, Y = output, W = weighting and n = index

The result consists of a set of input variables which is optimal according to the selected target criteria.

In the Single Result Optimization window, the necessary criteria, values and weightings can be set.

The Single Result Optimization window contains the following elements:

Closed File

Closed Extras

Optimization at OPs

This enables you to load optimization targets previously saved (*.criteria).

Show/Edit OP List

Opens the Operating Points Manager window.

Start Optimization

Executes the optimization at the points (= with the values) of the selected operating points list.

Show Results

Opens the Closed Optimization Results window, which shows a table with the optimization results.

List Optimization

Load List	Loads an existing input list.
Show List	Displays the loaded input list.
Start Optimization	Executes the optimization at the points (= with the values) of the list.
Show Results	Opens a table with the optimization results.

For more information, see Batch Optimization.

Closed Help

Constraints

Model Validity

Opens the Valid Model Range window. In that window, you can restrict optimization of each criterion to the respective valid model range.

Note
The valid mode range makes the optimization slow and no solution might be found at all, because the valid regions are not contiguous. In many cases it is better to constrain the solutions to the Input Bounds > Fit all Bounds to Data, see next constraint option.

Note

The valid mode range makes the optimization slow and no solution might be found at all, because the valid regions are not contiguous.

In many cases it is better to constrain the solutions to the Input Bounds > Fit all Bounds to Data, see next constraint option.

Input Bounds

Opens the Input Bounds window where you can define the range to be considered for the modeling for each input.

Checkbox and Hull (*)

If the checkbox is enabled, the button is named Hull (2D). Otherwise, the button is named Hull (Disabled).

The button opens the Configure Convex Hull on Inputs window where you can configure 2D, 3D, and/or 4D hulls.

Note
You must activate the checkbox manually even if you clicked Hull (Disabled) and configured hulls.

Output

The drop-down lists in this column offer all outputs for selection. In addition, the Remove entry can be used to delete a row.

Criterion

Here, you select the optimizing criterion for the respective output. Available selections are:

Minimize/Maximize

The optimizing goal consists of minimizing/maximizing the output.

In addition, a hard upper and/or lower limit can be defined in the Value column.

Target

A target value which should be reached as closely as possible.

In the Value column, the value can be set as global (Constant) or per OP.

Bound

(Upper or lower) limit value for the optimizing goal.

In the first Value column, the limit can be further specified.

See also Optimization Criteria.

Value

In the first two Value columns, you can fine-tune the criterion.

criterion	possible selections in 1st "Value" column	possible selections in 2nd "Value" column
Minimize, Maximize	None	(column is empty and disabled)
	Hard Lower Bound	Constant or per OP
	Hard Upper Bound
	Hard Lower&Upper Bounds
Target	Target	Constant or per OP
Bound	Hard Upper Bound	Constant or per OP
	Hard Lower Bound
	Weak Upper Bound
	Weak Lower Bound
	Hard Lower&Upper Bounds

The content of the third column depends on the selection in the second column.

selection in 2nd "value" column	content of 3rd "Value" column
Constant	Input field for the value of the constant target or bound. If you selected Hard Lower&Upper Bounds in the first Value column and Constant in the second, there are two input fields.
per OP	Map button, which opens the Optimization * = Target or Bound for Output <output>window. In that window, you define a map with optimization targets or bounds for each operating point. If you selected Hard Lower&Upper Bounds in the first Value column and per OP in the second, you define two maps in the Optimization Bounds for Output <output> window.

selection in 2nd "value" column

content of 3rd "Value" column

Constant

Input field for the value of the constant target or bound.

If you selected Hard Lower&Upper Bounds in the first Value column and Constant in the second, there are two input fields.

per OP

Map button, which opens the Optimization * = Target or Bound for Output <output>window.

In that window, you define a map with optimization targets or bounds for each operating point.

If you selected Hard Lower&Upper Bounds in the first Value column and per OP in the second, you define two maps in the Optimization Bounds for Output <output> window.

Weight

In the first column, you select a mode for the weighting of the output for the optimization with respect to several outputs - either globally (Constant) or per OP.

The content of the second column depends on the selection in the first column.

selection in 1st "Weight" column	content of 2nd "Weight" column
Constant	The value of the constant weight.
per OP	Map button, which opens the Optimization Weight for Output <output> window. In that window, you define a map with weights for each operating point.

selection in 1st "Weight" column

content of 2nd "Weight" column

Constant

The value of the constant weight.

per OP

Map button, which opens the Optimization Weight for Output <output> window.

In that window, you define a map with weights for each operating point.

Settings

Opens the Settings window for single result optimization.

Optimize

Performs the optimization starting at the current position in the ISP. The Operating Point Axes should be locked in the ISP to find an optimization for a specific Operating Point.

Results are displayed in the log window, and calculated values appear in the ISP view.

Use for further options:

Export Job to Docker: Exports the single result optimization information as *.docker.ascmo file. Use the file to perform the optimization in a Docker container, e.g., in the cloud.

Optimize at OPs

Performs the optimization in succession at all defined operating points (see also Operating Points Manager).

Note
The Optimize at OPs button in the Single Result Optimization window is only available if operating point axes have been selected. You can set the operating point axes via the menu In/Outputs → Set Operating Point Axes in the ISP view (see Set Operating Point Axes).

The progress of the optimization is displayed in a Closed status window.

Note
If the option Constrain to Operating Points Hull has been set for your OP list, operating points outside the valid range are ignored during optimization at OPs.

Closes the window without starting an optimization. Changed settings are kept.