Tuning performance of the network optimizer

Suggests strategies for improving performance of the network optimizer.

The default values of parameters controlling the network optimizer are generally the best choices for effective performance. However, the following sections indicate parameters that you may want to experiment with in your particular problem.

Controlling tolerance

You control the feasibility tolerance for the network optimizer through the parameter NetEpRHS. Likewise, you control the optimality tolerance for the network optimizer through the parameter NetEpOpt.

Selecting a pricing algorithm for the network optimizer

On the rare occasions when the network optimizer seems to take too long to find a solution, you may want to change the pricing algorithm to try to speed up computation. The pricing algorithm for the network optimizer is controlled by parameter NetPPriInd. All the choices use variations of partial reduced-cost pricing.

Limiting iterations in the network optimizer

Use the parameter NetItLim if you want to limit the number of iterations that the network optimizer performs.