Adams Basic Package > Adams Insight > Dialog Box - F1 Help > Optimize Model or Experiment

Optimize Model or Experiment

Tools -> Optimize Model

Adams Insight allows you to optimize your fitted models. With some simulation conduits, Adams Insight also allows you to directly optimize your experiment using simulations. During optimization, Adams Insight automatically adjusts the factor values so that the resulting responses come as closely as possible to the specified target values.

You may treat each response as an objective or as a constraint. A response is an objective if you attempt to maximize or minimize that value. A response is a constraint if you want to keep it fixed to a desired value or within a range of desired values.

Adams Insight performs both single-objective and multi-objective optimization. Adams Insight computes a cost for each objective based on the objective option, target value, and weighting factor. Adams Insight combines the individual costs into one overall cost based on your choice of the multi-objective method. Adams Insight then attempts to minimize the overall cost.

Learn more about Optimization.

For the option:	Do the following:
To change the values, use the sliders next to each item, or enter new values in the corresponding text boxes.
Design Variables
(Factor) Minimum	Modify the minimum value for this factor. You can increase the minimum value to reduce the range of possible factor values. You cannot decrease the minimum lower than the initial value.
(Slider Area)	Modify the current value for this factor, which will be the initial value for the next optimization, or you can use the Update button to directly compute the responses using this value. Note: Moving the slider will dynamically update the response values if you are optimizing a fitted model and the regression model has less than 50 responses. If you are optimizing an experiment or the regression model has more than 50 responses, position the respective sliders to the desired factor setting and select the Update button.
(Factor) Maximum	Modify the maximum value for this factor. You can reduce the maximum value to reduce the range of possible factor values. You cannot increase the maximum greater then the initial value.
(Factor) Value	Modify the current value for this factor, which will be the initial value for the next optimization, or you can use the Update button to directly compute the responses using this value.
Fixed	Check this box if you do not want a specific factor changed during the optimization.
Design Objectives
(Response) Minimum	Displays the minimum value for this response. This is the ideal minimum, ignoring other responses.
Slider area	Change the target value for the response. You can also use the Target text box to change this value. The target is the desired value for Min, Max, MinTo, MaxTo, and FrcTo responses, and is the constraint value for GrEq, LsEq, and Equal responses. Note: The arrow in the slider area identifies the current value.
(Response) Maximum	Displays the maximum value for this response. This is the ideal maximum, ignoring other responses.
(Response) Value	Displays the last computed value for this response. Adams Insight computes new response values when you press the Run or Update button.
Oper	Select the operator: ■Ignore - Ignore the response. ■Min - Minimize the response. ■Max - Maximize the response. ■MinTo - If the response is greater than the target, minimize down to the target. Ignore if less than the target. ■MaxTo - If the response is less than the target, maximize up to the target. Ignore if the response is greater than the target. ■FrcTo - If the response is greater than the target, minimize down to the target. If the response is less than the target, maximize up to the target. ■GrEq - Constrain the response to be greater than or equal to the target value. ■LsEq - Constrain the response to be less than or equal to the target value. ■Equal - Constrain the response to be equal to the target value. The MinTo, MaxTo, and FrcTo objective options are similar to the LsEq, GrEq, and Equal constraint options, respectively. Use a constraint option if a response must be controlled exactly. Use an objective option if you want to trade off the response cost against other objectives. Note: The MinTo, MaxTo, and FrcTo objectives create a discontinuity in the objective slope at the target value. If you use these objectives with the Total Cost or Worst Cost multi-objective methods, the optimization may converge slowly or fail. If this happens, use the Total Squared Cost method, which avoids the slope discontinuity. You can select Total Squared Cost using the Multi-Objective Method setting in Optimization Preferences.
Target	Change the target value for the response. You can also use the slider to change this value. The target is the desired value for Min, Max, MinTo, MaxTo, and FrcTo responses, and is the constraint value for GrEq, LsEq, and Equal responses.
Weight	Change the weighting factor for this response. You use the weights to adjust the importance of responses relative to each other. Weight values should be greater than zero, where larger values indicate greater importance. Note: Weighting is not applicable to constraints.
Cost	Displays the last computed cost of this response, if it is an objective response. This is based on the objective option and the difference between the response value and the target value, multiplied by the weight. Adams Insight attempts to minimize the costs, so a lower cost is better than a higher cost. If the response is ignored or constrained, the cost value will be empty.
Overall Cost	Displays the last computed overall cost of all objectives. This is the value that the optimization attempts to minimize. Using the Total Cost method, the overall cost will be the sum of the individual costs. Using the Total Squared Cost method, the overall cost will be the sum of the squares of the individual costs. Using the Worst Cost method, the Overall Cost will be the worst (largest) cost among the individual costs. You can select Total Cost, Total Squared Cost, or Worst Cost using the Multi-Objective Method setting in Optimization Preferences.
Optimize
Preferences	Select to display Optimization Preferences, including multi-optimization method and solution method.
Reload	Select to reload all of the optimization settings.
Update	Select to update the response values to reflect any changes you made to the factor values. This allows you to manually change the factor values and see the effects on responses.
Reset	Select to return factors to their original settings.
Write	Select to save your results to a text file. You choose among several formats. ■Report of factor and response values to a text file ■Report of factor and response values to a comma-separated value file ■Factor settings to a comma-separated value file ■Factor settings to an Adams View .cmd file (only available when Adams Insight is invoked from Adams View)
Save	Select to save the current factor and response settings as defaults. Adams Insight uses the default settings to fill the Optimization Form when you display it. You may also modify the default response settings in the Response Form in the Optimization Tab. The default settings will be saved with your experiment. If you make changes to the settings and leave the Optimization Form without saving them, they will be lost.
Run	Select to optimize the factor values based on the current factor and response settings.