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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.

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