Group optim.cplex.callable.optimizers

After you have specified the problem by populating a problem object, the problem can be optimized. A default optimizer is provided for each problem type. In most cases, the default optimizer will solve your problem well, but you may select a different optimizer that may suit your needs better for a particular model formulation.

Continuous LP and QP problem objects can be optimized with simplex or barrier optimizers. Continuous QCP problem objects and the special case of second order cone programming (SOCP) problems can be optimized with the barrier optimizer only.

For MIP problem objects, any appropriate continuous optimizer may be specified to solve the subproblems. You can also specify a different optimizer for solving the root LP subproblem and for the LP subproblems that occur at the nodes of the branch and cut tree.

For more information about parameters and their settings, see the reference manual ILOG CPLEX Parameters.