Eli Towle

Hi Pranav, This depends on the structure of \( N_i(x) \). You will have to provide Gurobi with an explicit expression for \( N_i(x) \) (or an approximation thereof) rather than relying on an extern...

Hi Pranav, By default, Gurobi will try to minimize the objective function. Did you change the objective sense to maximize? I.e., using model.modelsense = 'max'; If that isn't the problem, do you ha...

Hi Matheus, We will work with you directly through our support portal to resolve this. Thanks! Eli

Hi John, With the piecewise approximation approach, it should work to define the piecewise linear objective for each \( x_i \) variable. This doesn't require any additional variables. Also note tha...

Hi Stephanie, We will work directly with you through our support system to resolve this. Thanks! Eli

Pranav, you can solve the problem in MATLAB using a command like: result = gurobi(model, params); After this is done, you can access the x field of the returned struct to find the optimal solution ...

Hi Roy, Gurobi 8.1.0 includes the Python 2.7 interactive shell, which uses integer division when the division operator is used with two integer operands. So, this line: m.addConstr((1/200)*x_A + (1...

Hi Santanu, How exactly did you model this problem so that Gurobi could solve it? Do you have the Gurobi log file output? Thanks! Eli

Hi Santanu, Did you write this LP file from scratch? If so, I don't recommend doing this; it's very error-prone, and the LP format isn't standardized. If you want to use algebraic modeling syntax t...

Hi Vincent, I suspect this is the problem: (2*o[3] + o[2])*[yTruck[(tr,m-1,o)]] for o in range(UBorders) range(UBorders) returns a list of integers, so every value of o you are looping over is an i...