Setting the Maximum Iterations for an Optimization Analysis
The Max. No. of Iterations value is the maximum number of design variations that you want Optimetrics to solve during an optimization when using the Sequential Nonlinear Programming (Gradient), Sequential Mixed Integer NonLinear Programming, Quasi Newton (Gradient), or Pattern Search (Search-based) Optimizer. This value is a stopping criterion; if the maximum number of iterations has been completed, the optimization analysis stops. If the maximum number of iterations has not been completed, the optimization continues by performing another iteration, that is, by solving another design variation.
If the maximum number of iterations has not been reached, the optimizer performs iterations until the acceptable cost function is reached or until the optimizer cannot proceed as a result of other optimization setup constraints, such as when it searches for a variable value with a step size smaller than the minimum step size.
The Genetic Algorithm optimizer does not use the Max. No. of Iterations criteria.
To set the maximum number of iterations for an optimization analysis:
- Under the Goals tab of the Setup Optimization dialog box, type a value in the Max. No. of Iterations text box.