I am trying to do an optimization of a MILP problem with Cbc solver but it is too slow. I know that with CPLEX it is much faster but I need to use Cbc. Does anyone know of a resource to get it? Maybe multi-threading?

if you need to use use Cbc youâ€™re using Cbc, unless you are talking about write a Julia Cbc?

No. I am using JuMP and the Cbc solver for MILP optimization but it is too slow and I want to know if there is any way to make the optimization more faster.

but you still have to use Cbc optimizer, correct? if so, youâ€™re asking how to make your JuMP code faster maybe (which was not clear, except maybe implied from the tag)

Make sure you set the `threads`

attribute:

```
using Cbc
using JuMP
n = # the number of threads available on your machine
model = Model(Cbc.Optimizer)
set_optimizer_attribute(model, "threads", n)
```

The answer is â€śit depends.â€ť

Define â€śtoo slow.â€ť To find a feasible solution? Or to prove optimality?

Most solvers will quickly find a good-enough solution, and then spend a long time proving it is near optimal. Just set a time-limit and return the good-enough solution.

Poor formulations, like large big-M constraints can also play a part. You could also try to provide a good starting point as a hint via https://jump.dev/JuMP.jl/stable/variables/#Start-values-1

You should also take a read of