Python III -- Optimization and Heuristics
While the Gurobi MIP solver finds proven optimal solutions to many difficult optimization models quite quickly, one capability of MIP that is often overlooked is its ability to find and subsequently improve good quality solutions to exceedingly difficult problems. This webinar, which builds on the ideas presented in the Python I and Python II webinars, will focus on techniques for using the Gurobi MIP solver as a heuristic.
In this one-hour webinar, presented in English, 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.
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