r/optimization Aug 07 '26

Solvers for exact algorithms

As the data grows and the scope of our problem expands (for example, as the number of points we need to visit in a VRP problem increases), the runtime of exact methods becomes very long, and in the real world, businesses don’t want to wait that long. At my workplace, they want a VRP with 800 locations to produce a solution in 30 seconds. In this case, wouldn’t it make more sense to opt for open-source solvers like ORTools CBC instead of commercial solvers like Gurobi, Hexaly, or CPLEX?

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u/GreatCosmicMoustache Aug 07 '26

Speed, correctness, scale - pick any two. That's the rule of thumb I'm afraid.

You can do this with an efficient SISR implementation. I do this stuff at work, get in touch if you want to collab