My problem has 2 objective functions, I have tried the "staticLex" but it shown me error:"CPLEX(default) cannot extract expression: minimize nulti crit [2] {-> e1-> e2->}->."
dexpr float e1 = sum(k in Day)(W [k])^2;
dexpr float e2 = sum(i in Task) (q [i]*n[i]*m[i]);
minimize staticLex(e1, e2);
//Error:"CPLEX(default) cannot extract expression: minimize nulti crit [2] {-> e1-> e2->}->."
Is there any way to fix this error or any other way to calculate a multi objective problem in CPLEX? Thank you so much in advance!
My full code:
int NumbDay =...;
int NumbTask =...;
range Day = 1 .. NumbDay;
range Task = 1 .. NumbTask;
float h [Day]=...;
float c [Day]=...;
float d [Day]=...;
float R [Task]=...;
float E [Task]=...;
float O [Task]=...;
float t [Task]=...;
dvar float+ q [Task];
dvar float+ n [Task];
dvar float+ m [Task];
dvar float+ W [Day];
dvar boolean X [Day][Task];
execute PRE_PROCESSING {
cplex.epgap = 0.1;
cplex.tilim = 100;
}
dexpr float e1 = sum(k in Day)(W [k])^2;
dexpr float e2 = sum(i in Task) (q [i]*n[i]*m[i]);
minimize staticLex(e1, e2);
subject to
{
constraint_1:
forall (k in Day){
sum(i in Task) t [i]*X [k][i] == W [k];
}
constraint_2:
forall (i in Task){
sum(k in Day) X [k][i] == 1;
}
constraint_3:
forall (k in Day, i in Task){
X [k][i] == 0 || X [k][i] == 1;
}
constraint_4:
forall (i in Task){
sum(k in Day) X [k][i] * h [k] <= R [i];
}
constraint_5:
forall (k in Day, i in Task){
q [i] == R [i] - sum(k in Day) X [k][i] * h [k];
}
constraint_6:
forall (i in Task){
sum(k in Day) X [k][i] * c [k] <= E [i];
}
constraint_7:
forall (k in Day, i in Task){
n [i] == E [i] - sum(k in Day) X [k][i] * c [k];
}
constraint_8:
forall (i in Task){
sum(k in Day) X [k][i] * d [k] <= O [i];
}
constraint_9:
forall (k in Day, i in Task){
m [i] == O [i] - sum(k in Day) X [k][i] * d [k];
}
}
q [i] * n [i]* m [i]
is not linear.
Can you try with a linear expression or use cpoptimizer ?