Elisabeth Rodríguez Heck

Hi Philip,  Thank you for your request, I just created a ticket out of it. We'll handle it from there. Best regards, Elisabeth

Hi,  I understand that you want to set a feasible MIP solution using a callback. Concerning But can we force this feasible solution to be considered as the actual optimal solution at that node (in...

Hi,  A macos_universal2 port is now available with the technical release Gurobi 9.1.2. The port provides binaries that can run on the new M1 chip. The port is still experimental, but we encourage u...

Hi,  A macos_universal2 port is now available with the technical release Gurobi 9.1.2. The port provides binaries that can run on the new M1 chip. The port is still experimental, but we encourage u...

Hi Upasana,  The issue comes indeed from the fact that arc_cost is a parameter.  Quoting the description of indicator constraints from Silke's link above: INDICATOR constraints: An indicator const...

Hi Upasana, You are getting this error because the expressions that you compare with >> are 'generator' expressions. The following line of code should work: model.addConstrs((y[(i,j)]==1) >> (arc_...

Hi Ana, Happy to read that this answer helped. Indeed, Gurobi is capable of handling some types of general constraints, you can find more information on the types of constraints that Gurobi can han...

Hi Ana,  Testing out your code I get the following error  TypeError: unsupported operand type(s) for -: 'GenExpr' and 'GenExpr' Note that the functions min_ and max_ are Constraint Helper Functions...

Hi Akram, To find more feasible solutions, in addition to setting the PoolSolutions parameter, you should also set the PoolSearchMode parameter to one of the non-default values.  You can find more ...

Hi Ali, In order to retrieve the dual values of your constraints in the code above, you could first store these constraints in an array and use this array later to get the dual values. I am sharing...