Mario Ruthmair

Hi Charitha, Indicator constraints only allow linear constraints. What you could do is to introduce additional variables that model the binary products and use those new variables in your indicator...

Hi, Gurobi can only handle linear and quadratic constraints. There are ways to add more general constraints that are then reformulated (and potentially approximated). You wrote that x is a continuo...

Hi Tobias, You have to additionally check the current state as it is mentioned in the description of cbGetNodeRel(). Best regards,Mario

Hi, Sometimes even small changes in the solution path (which is the case when you change parameter settings) can have huge effects on the performance, this is called "solver variability". In the ca...

Hi Anne, I am not sure if I understand your problem: If the destination of some flow depends on the starting node (having several intermediate nodes), then in a model you might need variables that ...

Hi, I was not able to find a wrapping function in Pyomo that does the same thing as feasRelaxS(). Either you directly use gurobipy, or you try to build the feasibility relaxation by yourself by mod...

Hi Elena, Are you observing any numerical issues, i.e., that there are violations in the optimal solution that are larger than the tolerances (1e-6)? If the solution looks "clean", then you probabl...

As far as I know, both Lagrange relaxations are valid. The optimal values for the Lagrange multipliers (i.e., the dual variables y) might have opposite signs when you switch to the other relaxation...

Hi Garrett, Just to understand your situation a bit better, you have 3 VRP models and for each model you have several instances (=scenarios), right? For each model you want to compare the solutions...

Hi JC, Is the coloring of nodes for one particular request independent of the other requests? Or is a "red" node red for all requests? If only the chosen path for each request needs to be alternati...