Can Gurobi not be able to solve a MILP problem if the objective function is formulate differently?
OngoingI have to solve a MILP program and for certain values associate to the variables in objective function I get a feasible solution. However. when I try to change the cost value associated to some variables, Gurobi does not return a feasible solution. Why?
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Gurobi Staff
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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,
Jaromił0 -
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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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We will continue this issue in an internal ticket.
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