MIPs often solve faster with good integer feasible solutions. Thus, Gurobi contains a variety of MIP heuristics to create integer solutions and improve them. However, sometimes you can improve upon this with custom integer heuristics that exploit model structure.
In this webinar, you will learn:
What models may benefit from custom MIP heuristics, and how to build your own custom MIP heuristics by using the traveling salesman problem to illustrate different integer heuristics that take advantage of both model structure and relaxed solution values in the MIP tree.
Download the presentation, here.
Vice President and Technical Fellow
Vice President and Technical Fellow
Dr. Gregory Glockner has a B.S. magna cum laude from Yale University in Applied Mathematics and Music, and an M.S. and Ph.D. in Operations Research from the Georgia Institute of Technology. His doctoral dissertation was awarded the 1997 Transportation Science Dissertation Prize from INFORMS.
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