Howdy, so I asked a question on stack overflow:julia - Define several JuMP variables names in loop based on iteration - Stack Overflow , and Oscar replied. I thought a bit more, and remember this board, and thought I’d see if this is possible by means of rephrasing the question.

I tried 2 ways: 1 seen below - define anonymous variables and then tried to use them in the objective (this did not work). Also I tried @variable(m,Symbol(“x$k”)[1:5],Bin), and this didn’t seen to work either. Are any of these ideas salvageable?

My final goal here was to be able to dynamically be able to create variable names, and assign properties to them like I would ussually, and then use them how one would in JuMP - instead of hard coding x1,x2…xn, make a loop and sort of do what I tried with the Symbol("x$k).

Thank you.

```
import JuMP
using Juniper
using Ipopt
using LinearAlgebra
using Base.Threads
using Cbc
function obj(list)
sum=0.0
for k=1:length(list)
println(list[k])
sum = sum + sum(list[k])
end
return sum
end
optimizer = Juniper.Optimizer
nl_solver= optimizer_with_attributes(Ipopt.Optimizer, "print_level" => 0)
mip_solver = optimizer_with_attributes(Cbc.Optimizer, "logLevel" => 0, "threads"=>nthreads())
m = Model(optimizer_with_attributes(optimizer, "nl_solver"=>nl_solver, "mip_solver"=>mip_solver))
var_type = ["b","r","b"]
var_list=[]
for k=1:length(var_type)
if(var_type[k]=="b")
x_k = @variable(m,[1:5],Bin)
end
if(var_type[k]=="r")
x_k = @variable(m,[1:5])
end
append!(var_list,[x_k])
end
@objective(m, Min, obj(var_list))
optimize!(m)
for k=1:length(list)
optimal_solution = value.(var_list[k])
println(optimal_solution)
end
```