Marika Karbstein
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Did you check the article How do I diagnose a wrong result?A common issue is that the default lower bound in Gurobi is 0.0 and not INF as in other solvers.

Hi Jesse, In the log file, you can see that the best bound does not improve after the root node is solved; it stays at the value 6812335.05. Only incumbents improve the gap from 73% to 3%.You could...

I think there is no direct way. You can get the Indicator constraint via GRBModel.GetGenConstrIndicator Optimization then get the value of the linear expression (lhs) with GRBLinExpr.Value and comp...

One additional remark: 3. Also I don't know why there are 300 binary variables, because I already removed all binary vanribles I added to reduce calculation time Did you remove the variables comp...

Hi Yuri, To identify the RHS and the LHS of the constraint, you need to reformulate the constraint such that all variables are on the lefthand side and all constants are on the righthand side. Re...

The problem is that you want to add a multilinear term.Please have a look How do I model multilinear terms in Gurobi?

You defined an unbounded model that is detected to be unbounded in the root relaxation.During presolve a solution is checked in your callback for feasibility. That's why you see the output of lazy ...

Hi Kasoer, Your timeBigMconstraints are also defined if j is the depot, this makes the model infeasible. Cheers, Marika

You could also check the Model Attributes, for example, MaxRHS. The threshold for the warning is 1e+09 for rhs, bounds, and obj coefficients. It is 1e+08 for matrix coefficients.But we recommend t...

Hi Josh, Using gurobipy the default lower bounds for the variables are 0, see Model.addMVar().If you change the lower bound for the D variables to Infinity, the model becomes feasible. Cheers,Marika