Multi-Objective Optimization

If you have more than one response set to Min or Max, then you are performing a multi-objective optimization.

You use the target and weight values to adjust the relative importance of the responses. Based on these, Adams Insight computes a cost for each response and combines these into an overall cost. Adams Insight then minimizes the overall cost. The response cost is the difference between the response value and the target value multiplied by the weight. The target value acts as the desired value, and the weight scales the response relative to other responses. The weight should reflect both different units or scales among the responses, as well as increased or decreased importance.

You can optimize either Total Cost or Worst Cost. You can select Total Cost or Worst Cost using the Settings button. If you select Total Cost, Adams Insight minimizes the sum of the response costs. If you select Worst Cost, Adams Insight minimizes the worst (largest) cost among the responses.