If your model is stochastic, the results of the single model run may not be representative. The OptQuest Engine supports objective values that are based on experimentation through the General Replication Algorithm. This feature allows the user to provide the OptQuest Engine with results of multiple replications per simulation/iteration. The OptQuest Engine allows you to run a fixed number of replications per simulation or a varying number of replications per simulation.

When running a varying number of replications, you will specify minimum
and maximum number of replications to be run. The OptQuest Engine will
always run the minimum number of
replications for a solution. OptQuest then determines if more
replications are needed. The OptQuest Engines stops evaluating
a
solution when one of the following occurs:

- The true objective value is within a given percentage of the mean of the replications to date.
- The current replication objective value is not converging.
- The maximum number of replications has been run.

Optimization experiment's properties view. Replications section

- In the Projects view, select the optimization experiment.
- In the Replications section of the Properties view, select the Use Replications check box.
- Choose the Fixed number of replications option.
- Specify the number of Replications per iteration in the edit box.

- In the Projects view, select the optimization experiment.
- In the Replications section of the Properties view, select the Use Replications check box.
- Choose the Varying
number of replications (Stop
replications after minimum
replications, when confidence level is reached) option.

- Specify the minimum number of replications in the Minimum replications edit box.
- Specify the maximum number of replications in the Maximum replications edit box.
- Define the Confidence level to be evaluated for the objective.
- Specify the percent of objective for which the confidence level is determined in the Error percent field.