[SCIP] Stopping at the next best solution than the one passed

[Gerald Gamrath]

Dear Meenarli,

I fear it is not possible to set this with a settings file, because this 
is not a real parameter, but only an option in the interactive shell.
SCIP only allows to set an objective limit after the problem was read. 
Since settings are typically read before that, this can only be set in 
the interactive shell after the problem is read via "set limits objective".

Best,
Gerald

On 06.06.2018 16:41, Meenarli Sharma wrote:
> Hello Ambros,
>
> Thank you for the reply. I have already tried this parameter but I got the
> error: WARNING: unknown parameter <limits/objective>. Any clue why is it
> happening?
>
> Regards,
> ~Meenarli
>
>
>   already > Hi Meenarli,
>> "limits/objective" is the parameter you are looking for.
>>
>> You easily inspect a list of all parameters with documentation yourself
>> in a file by typing "set save scipparams.set" in the interactive shell.
>>
>> Best,
>> Ambros
>>
>>
>> Am 05.06.2018 um 19:12 schrieb Meenarli Sharma:
>>> Hello Gerald,
>>>
>>> Thank you very much for the prompt reply. Is there any option (to be
>>> written in scip.set file) for passing an upper bound on the objective
>>> value and then stop at the first solution with objective value smaller
>>> than the one passed?
>>>
>>> Thank you again.
>>>
>>> Regards,
>>> ~Meenarli
>>>
>>>    > Dear Meenarli,
>>>> you want to set limits/bestsol to 1.
>>>>
>>>> Best,
>>>> Gerald
>>>>
>>>> On 05.06.2018 17:48, Meenarli Sharma wrote:
>>>>> Hello everyone,
>>>>>
>>>>> I am using SCIP as a solver with AMPL. I pass a feasible solution and
>>>>> want
>>>>> SCIP to stop when it finds a solution better than the one that is
>>>>> being
>>>>> passed. How can this be achieved?
>>>>>
>>>>> I tried limiting the number of feasible solutions but it didn't help
>>>>> as
>>>>> heuristics found that many solutions - none of them is better than
>>>>> what
>>>>> is
>>>>> being passed in this case- and it stopped. I can try changing the
>>>>> limit
>>>>> on
>>>>> solutions until I find a better one but I am forced to believe there
>>>>> must
>>>>> be a better way to do it.
>>>>>
>>>>> Any help will be highly appreciated.
>>>>>
>>>>> Thanks and regards,
>>>>> ~Meenarli
>>>>>
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>>>>
>>>
>>> _______________________________________________
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>> --
>> Ambros Gleixner, Research Group Mathematical Optimization Methods at
>> Zuse Institute Berlin, http://www.zib.de/gleixner
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