Originally posted by: quawarty

Hi,
I am trying to solve my MIP (Mixed Integer Linear Problem)model.
I need some clarifications please for these three things:

First, after running the model, the software shows me in Journal script
some things like that
/ solution (feasible relaxed sum of infeasibilities) with objective 97
// Quality Incumbent solution:
// MILP objective 2.9230000000e+003
// MILP solution norm |x| (Total, Max) 9.61000e+003 1.52400e+003
// MILP solution error (Ax=b) (Total, Max) 3.92930e-012 2.27374e-013
// MILP x bound error (Total, Max) 9.70000e+001 9.70000e+001
// MILP x integrality error (Total, Max) 3.33955e-013 1.27898e-013
// MILP slack bound error (Total, Max) 0.00000e+000 0.00000e+000
//
I would like to know what is the value of the solution. Is it 97 ?

Second,, how can I check if the software has used an MILP solver?
Third, how can I know the computational time of the MILP solver to solve my model?

Thank you very much.

Best regards
#DecisionOptimization
#OPLusingCPLEXOptimizer

Hello,

solution (feasible relaxed sum of infeasibilities) means that your model was unfeasible and was then relaxed

97 is the sum of the relaxations

For example

dvar int y in -2..2;
dvar int x in 5..100;
 
minimize 2* x +y+4;
subject to
{
 
ct:x<=-3;
}

gives

// solution (feasible relaxed sum of infeasibilities) with objective 8
// Quality Incumbent solution:
// MILP objective 4.0000000000e+000
// MILP solution norm |x| (Total, Max) 4.00000e+000 4.00000e+000
// MILP solution error (Ax=b) (Total, Max) 0.00000e+000 0.00000e+000
// MILP x bound error (Total, Max) 5.00000e+000 5.00000e+000
// MILP x integrality error (Total, Max) 0.00000e+000 0.00000e+000
// MILP slack bound error (Total, Max) 3.00000e+000 3.00000e+000
//

x = 0;
y = 0;

You can check that MIP was used in the engine log tab

Finally you can get the computation time in the profiler tab

Regards
#DecisionOptimization
#OPLusingCPLEXOptimizer

Originally posted by: khadeejah

how can i fix that the solution is (feasible relaxed sum of in feasibilities)? i want a feasible solution 

#DecisionOptimization
#OPLusingCPLEXOptimizer

Originally posted by: a_amay

I wonder if you figure out this problem, because I have the same problem.

#DecisionOptimization
#OPLusingCPLEXOptimizer