While preprocessing, ILOG CPLEX also attempts to strengthen bounds on variables. This bound strengthening may take a long time. In such cases, you may want to turn off bound strengthening.

ILOG CPLEX also attempts to reduce coefficients during preprocessing. Coefficient reduction usually strengthens the continuous relaxation and reduces the number of nodes in the branch & cut tree, but not always. Sometimes, it increases the amount of time needed to solve the linear relaxations at each node - enough time to offset the benefit of fewer nodes. Two levels of coefficient reduction are available, so it is worthwhile to experiment with these preprocessing options to see whether they are beneficial to your problem.

In addition, you may also set the relaxation parameter to tell ILOG CPLEX to apply preprocessing to the initial relaxation of the problem. Sometimes this preprocessing will result in additional, beneficial presolve transformations in the continuous LP, QP, or QCP relaxation, transformations that are not possible in the original MIP model. In general, MIP preprocessing reductions and continuous LP, QP, or QCP reductions are not the same, as some MIP reductions are not applicable to the continuous case, and some continuous reductions do not apply in the MIP case. Thus, the RelaxPreInd parameter allows you to get the benefit of both styles of preprocessing, when the model is large enough that the root solution is itself a time consuming step.

ILOG CPLEX preprocesses a MIP by default. However, if you use a basis to start LP optimization of the root relaxation, ILOG CPLEX will proceed with that starting basis without preprocessing it. Frequently the strategic benefits of MIP presolve outweigh the tactical advantage of using a starting basis for the root node, so use caution when considering the advantages of a starting basis.