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Gurobi.

The pre-V1 algorithms used the Julia JuMP package [1], which allows swapping of the backend solver easily. I don't think some of the functional tests would pass on the open source solver though (precutting and heuristics in gurobi caused a huge speed gain).

The later iteration of the algorithm used the Gurobi python library directly, which is closed source.

[1] https://blog.staffjoy.com/retro-on-the-julia-programming-lan...



would love to see the solver application (if you are planning to swap an open source solver for gurobi). These class of problems are something I have wondered about, but never truly tried ny hand at.




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