Hello,

I’m trying to model MINLP by using binary multiplication to choose a specific value from a parameter.

Basically, I have two domains, r /1*6/ and t /1*8/

```
Parameter X1(t) the valus of p
/1 1.5
2 2
3 2.5
4 3
5 3.5
6 4
7 4.5
8 5/;
Binary variable Ub;
Variables z,tds(r)
```

I want to choose the best variable from X1(t) that fits the following equations in order to optimize ‘r’.

```
Equations Obj,con1(r),e1(r);
Obj.. z =e= sum(r, ((tds(r) * 0.14) / (vcPower((pf(r) / (sum(t,(X1(t)*Ub(r,t))) * cti(r))),0.02) - 1)));
e1(r).. sum(t,Ub(r,t))=e=1;
con1(r).. ((tds(r) * 0.14) / (vcPower((pf(r) / (sum(t,(X1(t)*Ub(r,t)))* cti(r))),0.02) - 1)) =g= 0.2;
Model SampleProblem1 /all/;
Solve SampleProblem1 maximizing z using minlp;
```

The results are Infeasible solutions and the binary variable shows some decimal values. I would inquire how to approach a solution from my code?