[SCIP] Fw: General information

[João Dionísio]

Hello, Martin!

Yes, I think SCIP can do what you're asking for. The Python interface
(PySCIPOpt) has most of SCIP's functionalities, and you can install it
with: pip install pyscipopt

I suggest creating an Issue on the Github page (link
<https://github.com/scipopt/PySCIPOpt/issues>) with the information you
want to get from the tree, so that we can better help you achieve what you
want.
Regarding the pruned nodes in particular, perhaps doing something with
event handlers catching the NODEFOCUSED or the NODEDELETE event types can
work, but there may be better ways of doing this, and someone else can
chime in.

Best,
João Dionísio


On Tue, Oct 28, 2025 at 11:05 AM Martin Mziray Dalseg <martimd at stud.ntnu.no>
wrote:

>
> ------------------------------
> *From:* Martin Mziray Dalseg
> *Sent:* 17 October 2025 11:51
> *To:* scip at zib.de <scip at zib.de>
> *Subject:* General information
>
> Hello!
>
> I am a student at the norwegian university for sience and technology
> (NTNU) and I am currently workin on my masters thesis in engineering for
> cybernetics. My thesis revolves around looking into using RL to optimize
> the parameters of a MILP such to optimize the MILP for real world use. In
> this system the MILP is solved using branch and bound and then the solution
> is taken by a actor-critic model to optimize and create a ploicy.
>  Currently im using a selv implemented branch and bound algorithm but it is
> not robust and verry simple. Therefore im looking into integrating a
> comercial solver to my program. However there is somethings that needs to
> be inplace for it to be possible to integrate.
>
> -  I need access to all information in the solution three. I.E pruned
> nodes, so to be able to create a stochastic policy.
>
>    - All my code is in python and even though I am able to swich to c++
>    o.s it would be better to use pyhton. But this seems not to be a problem
>    looking at your web page.
>
>
> If all this is possible i hopw to hear from you.
>
> Thank you! Martin Dalseg
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