If CPLEX solves your problem to optimality

Distinguishes problems solved to optimality.

If CPLEX solves your problem to optimality, you may still want to apply the tuning tool to discover whether you can solve the model faster. In such a case, bear in mind that the tuning tool performs several optimization runs as it goes about its work. These optimization runs may take six to eight times longer than the default run that produced your optimal results. If that projected time (six to eight times longer than the initial default run) seems too long for your purpose, then consider setting a general time limit or consider setting a specific tuning time limit per problem, per optimization. As you set such time limits, keep in mind that you can set time limits in terms of system time seconds or deterministic ticks. (For information about these contrasting ways of measuring time, see the topic Timing interface.)

To set a general time limit, either use the optimizer time limit in seconds parameter (TiLim, CPX_PARAM_TILIM) to set a limit in seconds of system time, or use the deterministic time limit parameter (DetTiLim, CPX_PARAM_DETTILIM) to set a deterministic time limit in terms of deterministic ticks.

To set a specific tuning time limit per problem, per optimization, either use the tuning time limit in seconds parameter (TuningTiLim, CPX_PARAM_TUNINGTILIM) to set a limit in seconds of system time, or use the deterministic tuning time limit parameter (TuningDetTiLim, CPX_PARAM_TUNINGDETTILIM) to set a deterministic time limit in terms of deterministic ticks.

Examples: time limits on tuning in the Interactive Optimizer illustrates this approach through time limits more fully.