Quick Tab

Select the Quick tab of the Response Optimization Startup Panel to access the options described here.

Element Name Description
Algorithm Select one of the options in this group box to determine the type of the algorithm to be used for the response optimization. These include:
  • Simplex: When this option button is selected, a Simplex search is conducted to find a set of values for the independent variables for which the model yield is equal or as close as possible to the desired value (see also the description of the Optimization type options below). The Simplex search is conducted in accordance with the constraints specified on the Simplex tab
  • Grid (exhaustive): When this option button is selected, a Grid search is used to find a set of values for the independent variables for which the model yield is equal or as close as possible to the desired response. The Grid search is conducted in accordance with the constraints specified on the Grid tab
  • Random:

    Select this option button to use a Random search to find a set of values for the independent variables for which the response is as close as possible to the desired value for the dependent variable. The Random search is conducted in accordance with the constraints specified on the Random tab

Optimization type Use the options in this group box to specify the required optimization type
Continuous response
  • Seek target value: Select this option button to request a specific value of the response variable that the algorithm should seek. This option is available only when the dependent variable is continuous (for categorical variables, use the Seek categorical level option, see below)
  • Seek lowest value: When this option button is selected, the optimization algorithm seeks the lowest (minimum) value of the response variable that the predictive models can produce
  • Seek highest value: When this option button is selected, the optimization algorithm seeks the highest (maximum) value of the response variable that the predictive models can produce
Note: Using the Seek lowest value and Seek highest value options for models capable of producing unbounded response values are not recommended since they may lead to numerical overflows
Categorical response
  • Seek categorical level: This option is available only when the response variable is categorical (classification tasks). Select a categorical level of your choice from the drop-down list for which you want to perform the optimization. In this case, Statistica Response Optimization finds a set of independent values for which the confidence level of the selected categorical level is maximum