Problem: personnel Rows: 9 Columns: 16 (16 integer, 16 binary) Non-zeros: 48 Status: INTEGER OPTIMAL Objective: CoutTotal = 4 (MINimum) No. Row name Activity Lower bound Upper bound ------ ------------ ------------- ------------- ------------- 1 RespectUnTravailParPersonne[t1] 1 1 = 2 RespectUnTravailParPersonne[t2] 1 1 = 3 RespectUnTravailParPersonne[t3] 1 1 = 4 RespectUnTravailParPersonne[t4] 1 1 = 5 RespectUnePersonneParTravail[p1] 1 1 = 6 RespectUnePersonneParTravail[p2] 1 1 = 7 RespectUnePersonneParTravail[p3] 1 1 = 8 RespectUnePersonneParTravail[p4] 1 1 = 9 CoutTotal 4 No. Column name Activity Lower bound Upper bound ------ ------------ ------------- ------------- ------------- 1 perm[t1,p1] * 1 0 1 2 perm[t1,p2] * 0 0 1 3 perm[t1,p3] * 0 0 1 4 perm[t1,p4] * 0 0 1 5 perm[t2,p1] * 0 0 1 6 perm[t2,p2] * 0 0 1 7 perm[t2,p3] * 1 0 1 8 perm[t2,p4] * 0 0 1 9 perm[t3,p1] * 0 0 1 10 perm[t3,p2] * 1 0 1 11 perm[t3,p3] * 0 0 1 12 perm[t3,p4] * 0 0 1 13 perm[t4,p1] * 0 0 1 14 perm[t4,p2] * 0 0 1 15 perm[t4,p3] * 0 0 1 16 perm[t4,p4] * 1 0 1 Integer feasibility conditions: KKT.PE: max.abs.err = 0.00e+00 on row 0 max.rel.err = 0.00e+00 on row 0 High quality KKT.PB: max.abs.err = 0.00e+00 on row 0 max.rel.err = 0.00e+00 on row 0 High quality End of output