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Hi Jan,<br>
<br>
there are two options that you already mentioned which I would
suggest as well, but I did not try them myself:<br>
<br>
1) copy the problem using SCIPcopy(), where you can set copypricers
to FALSE. Additionally, you need to loop over all constraints in the
subscip once and set them to be not modifiable via
SCIPsetConsModifiable(). SCIP can only perform very few presolving,
propagation, and separation steps if constraints are marked to be
modifiable, because in that case, SCIP needs to assume that new
variables will be added to the constraint later which might conflict
with the reductions performed now.<br>
<br>
2) Again, set all constraint to be non-modifiable, disable the
pricer, and then perform a restart and solve the problem.<br>
<br>
In both cases, you potentially need to re-enable features that you
disabled for the column generation phase.<br>
<br>
I would probably go for the second option first, because it should
be easier to implement, but I am not sure if perhaps some flags can
still be set incorrectly in that case. If you still observe
considerable differences, please write again.<br>
<br>
Best,<br>
Gerald<br>
<br>
<div class="moz-cite-prefix">Am 24.07.19 um 18:54 schrieb Jan
Berling:<br>
</div>
<blockquote type="cite"
cite="mid:CAPeMmq0TTGyT3s6s-WSUTqYX6GAbWyzh5rNYmELFUxrkrLDK8g@mail.gmail.com">
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<p class="MsoNormal" style="margin:0cm 0cm
0.0001pt;font-size:11pt;font-family:"Calibri","sans-serif"">Dear
SCIP community,<span></span></p>
<p class="MsoNormal" style="margin:0cm 0cm
0.0001pt;font-size:11pt;font-family:"Calibri","sans-serif""><span> </span></p>
<p class="MsoNormal" style="margin:0cm 0cm
0.0001pt;font-size:11pt;font-family:"Calibri","sans-serif"">I
have a binary optimization problem which uses column
generation, i. a. because adding
all variables is not possible due to memory limitations.
However,
solving takes a lot of time and so pricing is stopped<span> </span>when
a timelimit is exceeded, by setting the
result pointer to SCIP_SUCCESS<span
style="font-size:9.5pt;font-family:Consolas;color:black">.</span><span></span></p>
<p class="MsoNormal" style="margin:0cm 0cm
0.0001pt;font-size:11pt;font-family:"Calibri","sans-serif""><span> </span></p>
<p class="MsoNormal" style="margin:0cm 0cm
0.0001pt;font-size:11pt;font-family:"Calibri","sans-serif"">SCIP
continues solving the “final restricted master problem”
but this takes a lot of time.<span></span></p>
<p class="MsoNormal" style="margin:0cm 0cm
0.0001pt;font-size:11pt;font-family:"Calibri","sans-serif""><span> </span></p>
<p class="MsoNormal" style="margin:0cm 0cm
0.0001pt;font-size:11pt;font-family:"Calibri","sans-serif"">I
made an experiment giving the final transformed lp file to
out-of-the-box-SCIP and the problem is solved more quickly,
due to presolvers
and cutting planes.<span></span></p>
<p class="MsoNormal" style="margin:0cm 0cm
0.0001pt;font-size:11pt;font-family:"Calibri","sans-serif""><span> </span></p>
<p class="MsoNormal" style="margin:0cm 0cm
0.0001pt;font-size:11pt;font-family:"Calibri","sans-serif"">Is
it possible to restart the solving of the transformed
problem after pricing is stopped and to enable
presolving/cutting-planes (e.g. by copying the problem,
enabling presolvers, restarting, setting SCIP stage...)?</p>
<p class="MsoNormal" style="margin:0cm 0cm
0.0001pt;font-size:11pt;font-family:"Calibri","sans-serif""><br>
</p>
<p class="MsoNormal" style="margin:0cm 0cm
0.0001pt;font-size:11pt;font-family:"Calibri","sans-serif"">Kind
regards,</p>
<p class="MsoNormal" style="margin:0cm 0cm
0.0001pt;font-size:11pt;font-family:"Calibri","sans-serif"">Jan<br>
</p>
<p class="MsoNormal" style="margin:0cm 0cm
0.0001pt;font-size:11pt;font-family:"Calibri","sans-serif""><span></span></p>
</div>
<br>
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