[shoo]

If I were doing another serious large-scale commercial optimisation application where it was more valuable to get a pretty good feasible solution rapidly rather than potentially wait a long time attempting to find a provably optimal solution, I would be very interested in seeing how localsolver performs.

Often the mathematical model of the real world problem or the input data used to parametrise the model has a fair bit of approximation error (e.g. assuming parameters are deterministic when actually they are uncertain, linearising things to bash them into the MIP modelling framework, etc) , so pragmatically it doesn't often seem useful to be too bothered about getting an optimal solution to an approximate problem vs getting an approximate solution to perhaps a better model approximation of the true situation.

https://www.localsolver.com/

[tilun]

+1 on being interested in seeing how LocalSolver performs. They seem very self-confident in their benchmarks (https://www.localsolver.com/benchmarks) and so it would be very interesting hearing from someone with hands-on experience from real-life applications using LocalSolver.