Xavier Nodet

This section of the documentation refers to attributes, not parameters.  Attributes are used "for querying and modifying properties of a Gurobi model", while "parameters control the operation of th...

With Multi-Objective Environments, you can specify parameters for each optimisation pass in a multi-objective model.  This is described at https://www.gurobi.com/documentation/11.0/refman/additiona...

Dear Pablo,   We're glad to read that NoRel helps on your models, and would be interested in looking at them, if you can share them.   Some details about the NoRel heuristic appear at https://...

With respect to “solving not just once”, you may be interested in some research avenue we are pursuing, where one defines a ‘parametric’ model and uses both ML and Optim to provide very good soluti...

If the k-1 solution is truly a valid incumbent at L1, you would only spend time closing the lower bound, but it would also be feasible through L2 downwards, which would make my feature useless.I th...

Dear Pol,At the end of your post, you wrote:your proprietary warm-starting approach is faster and more reliableI don't think there is anything specific in the way Gurobi solves multiobjective probl...

Not a direct answer to your question, but are you aware that Gurobi 12 can handle nonlinear models and solve them to global optimality. This webinar presents how to do so in Python, and the documen...

When I start to solve the file from https://drive.google.com/file/d/1sN2f3QfLpuFkjwrBT9knYejXJRosgxp2/view?usp=sharing, I get a different model fingerprint: 0xf11e235e vs 0xbf1c0f3c in your log.  T...

You mentioned that your solution should be feasible. As stated at e.g. https://docs.gurobi.com/projects/optimizer/en/10.0/reference/java/callback.html#java-method-GRBCallback-useSolution, the value...

Your understanding that "InfUnbdInfo will only take effects after finding the model is infeasible or unbounded" is correct.  And you can see that the logs with both InfUnbdInfo values are similar u...