In this webinar, you will learn:
To use the Gurobi MIP solver as a heuristic for quickly obtaining good quality feasible solutions
About MIP’s ability to not only find initial feasible solutions, but also to improve on these solutions, often turning poor quality solutions into excellent solutions very quickly
About using MIP as a framework for structuring a heuristic search of a large space of possible solutions
Advanced techniques such as MIP starts, variable hints, and heuristic callbacks. These techniques will be illustrated with Python examples
Download the Jupyter notebook and examples associated with this webinar.
