[SCIP] Inquiry Regarding Iterated Solving and Python Integration in SCIP

[Mohammed Ghannam]

Hi Ben!

The PySCIPOpt repo contains an example for iterated solving for the Traveling Salesman Problem that iteratively adds cutting planes and reoptimizes the model. Also, to answer your last question you can call the method `model.getBestSol()` to return the optimal solution values for the given objective function. If you meant the optimal value of the objective function you can get it as in the example by calling `model.getObjVal()`.

Hope this helps!

Best,
Mo
On 1. Mar 2024 at 23:46 +0100, Mohammed Ghannam <ghannam at zib.de>, wrote:
> Hi Ben!
>
> The PySCIPOpt repo contains an example for iterated solving for the travelling salesman problem that iteratively adds cutting planes and reoptimizes the model. Also, to answer your last question you can call the method `model.getBestSol()` to return the optimal solution values for the given objective function. If you meant the optimal value of the objective function you can get as in the example by calling `model.getObjVal()`.
>
> Hope this helps!
>
> Best,
> Mo
>
> On 27. Feb 2024 at 4:41 AM +0100, 颜必行 <bixing.yan at huamod.com>, wrote:
> > Dear SCIP Team,
> > I hope this email finds you well. I am a programmer, and I am reaching out to you with a few questions regarding SCIP, particularly related to iterated solving and Python integration.
> > 1. Iterated Solving Documentation: I noticed on the SCIP website (https://scipopt.org/index.php#about) that SCIP is capable of iterated solving. However, after a thorough search through the documentation, I couldn't find specific content or examples related to iterated solving. Could you please guide me to the relevant documentation or provide more information on how to use iterated solving in SCIP?
> >
> > 2. Iterated Solving in Python: Additionally, I am interested in incorporating iterated solving into my optimization models using Python. Could you provide guidance or examples on how to implement iterated solving using the Python interface of SCIP?
> >
> > 3. Retrieving Target Function Values: Lastly, I would like to know how I can retrieve the values of the target function after each iteration during the iterated solving process. Are there specific functions or methods in the Python interface that allow me to access this information?
> > I appreciate your time and assistance in addressing these inquiries. SCIP has been a valuable tool for my optimization projects, and I look forward to enhancing my workflow with the features mentioned above.
> > Thank you in advance for your support, and I eagerly await your response.
> > Best regards,
> > Ben
> >
> > 华茂能联
> > 颜必行
> > 软件工程师
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> > Scip at zib.de
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