The OPTMILP procedure provides many solver techniques and algorithms including branch-and-bound, cutting planes, and heuristics. It also provides control options that you can adjust to improve the performance of these techniques. Although the default values of the control options have been tuned to work well for most instances, you might need to adjust one or more option values for a specific problem. The OPTMILP option tuner is a tool that enables you to explore alternative (and potentially better) option configurations for your optimization problems.
To use the tuner, you specify a single problem or set of problems to be solved and a list of options to be tuned. You can specify initial values for the options to be tuned. The tuner then uses a heuristic local search technique to generate a sequence of configurations. A configuration is a set of the specified options to be tuned along with a fixed value for each option. The tuner attempts to locate configurations that enable the OPTMILP procedure to process problems more quickly than the default option values or specified initial values.