Benchmarks for (mixed-integer) nonconvex optimization
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I am looking for motivation for the choice of GUROBI as the solver to non-convex mixed-integer programs with quadratic terms in the constraints (MICQP) and non-convex optimization problems in general. Do you know of any benchmarks for (mixed-integer) non-convex optimization comparing GUROBI against open-source and commercial solvers?
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The only publicly available and up-to-date benchmarks I am aware of, are hosted by Prof. Hans Mittelmann.
Please note that independent of the publicly available benchmark results, the only correct way to establish whether a solver fits your needs is to perform performance benchmarks on your own model set yourself. Most likely the model types of your application are not present in publicly available benchmarks, which makes the result of a publicly available benchmark valueless.
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Thanks for the reply, Jaromił Najman. Those are also the only reliable benchmarks I could find.
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