Can Gurobi not be able to solve a MILP problem if the objective function is formulate differently?

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3 comments

  • Jaromił Najman

    Hi Marina,

    Could you share LOG files showing the issue? In best case you could also share the two model instances where you observe the behavior you described. Please have a look at our Posting to the Community Forum article for further information on sharing models.

    Best regards,
    Jaromił

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  • Marina Santarelli

    This is my objective function:

    f = [zeros(nv_ev + nv_column,1); f_bill; ; 0.56*20; 0.56*40; 0.56*80; 0.56*120 ];

    where f_bill is  a vector of values between 0.1205 and 0.125.

    If I change f_bill such that my new objective function is:

    f = [zeros(nv_ev + nv_column,1); f_bill*0.5; ; 0.56*20; 0.56*40; 0.56*80; 0.56*120 ];

    Gurobi returns no feasible solution. 

     

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  • Jaromił Najman

    We will continue this issue in an internal ticket.

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