Optimization Settings and Controls

The Custom Profiler report includes an Optimization section that enables you to specify different criterion to optimize the prediction formula.

Figure 7.7 Optimization Settings and Controls 

Formula

The formula to be optimized. When a single response is used, the expression is the response column name. When multiple responses are used, the expression is a sum of desirability functions. You can edit the objective expression.

Objective

The current value of the objective function. When a single response is used, the objective expression is the predicted response. When multiple responses are used, the objective expression is the desirability function. For more information about desirability functions, see Desirability Profiling and Optimization.

Trips

Specifies the number of random starts in the optimization algorithm. Each trip restarts the algorithm at a different starting point. This guards against finding local solutions.

Max Cycles

Specifies the maximum number of cycles within each trip in the optimization algorithm. Each cycle is single pass through the input parameters and optimizes each one individually.

Max Iter

Specifies the maximum number of iterations within each trip in the optimization algorithm. If the algorithm does not converge before the maximum iterations is reached, a new trip is started.

Convergence Limit

Specifies the upper limit for the convergence criterion for the optimization algorithm. If the convergence criterion becomes less than this value, the algorithm stops.

Convergence Criterion

Specifies the value of the convergence criterion for the optimization algorithm.

Maximize

Enables you to choose to maximize or minimize the objective function.

Optimize

Starts the optimization algorithm.