The OPTMILP Procedure |
Functional Summary |
Table 18.1 summarizes the options available for the OPTMILP procedure, classified by function.
Description |
Option |
---|---|
Data Set Options |
|
Input data set |
|
Constraint activities output data set |
|
Objective sense (maximization or minimization) |
|
Primal solution input data set (warm start) |
|
Primal solution output data set |
|
Presolve Option |
|
Type of presolve |
|
Control Options |
|
Stopping criterion based on absolute objective gap |
|
Cutoff value for node removal |
|
Emphasize feasibility or optimality |
|
Maximum allowed difference between an integer variable’s value and an integer |
|
Maximum number of nodes to be processed |
|
Maximum number of solutions to be found |
|
Maximum solution time |
|
Frequency of printing node log |
|
Toggle ODS output |
|
Detail of solution progress printed in log |
|
Probing level |
|
Stopping criterion based on relative objective gap |
|
Scale the problem matrix |
|
Stopping criterion based on target objective value |
|
Use CPU/real time |
|
Heuristics Option |
|
Primal heuristics level |
|
Search Options |
|
Node selection strategy |
|
Use of variable priorities |
|
Number of simplex iterations performed on each variable in strong branching strategy |
|
Number of candidates for strong branching |
|
Rule for selecting branching variable |
|
Cut Options |
|
Overall cut level |
|
Clique cut level |
|
Flow cover cut level |
|
Flow path cut level |
|
Gomory cut level |
|
Generalized upper bound (GUB) cover cut level |
|
Implied bounds cut level |
|
Knapsack cover cut level |
|
Lift-and-project cut level |
|
Mixed integer rounding (MIR) cut level |
|
Row multiplier factor for cuts |
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