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    Dear John,<br>
    <br>
    if your NLP relaxation has a unique optimum, you will always end up
    with the same fractional solution. So maybe a possible way to go is
    to change your relaxation in each replication slightly.<br>
    <br>
    I could think of considering an MINLP relaxation of your problem. If
    x is an integer variable in the original problem and has a
    fractional value in your NLP solution, then you could add the
    integrality requirement for this variable and try to solve the
    resulting MINLP relaxation. Maybe it is possible to receive some
    good candidates from your heuristic?<br>
    <br>
    Alternatively, if x* is the optimal fractional solution with
    objective value U, then you could add a constraint c'x = U and set a
    different objective function to hopefully find a different
    fractional solution.<br>
    <br>
    <br>
    Best regards,<br>
    <br>
    Benny<br>
    <br>
    <br>
    <br>
    <div class="moz-cite-prefix">On 10.05.2015 09:26, John Beasley
      wrote:<br>
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cite="mid:29BA55A7FEB10D4FBA0BD2FE1114098E1F917F15@v-ex10mb2.academic.windsor"
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          <p class="MsoNormal" style="MARGIN: 0cm 0cm 10pt"><font
              size="3"><font face="Calibri">I have a hard MINLP for
                which I explicitly relax the integrality constraints and
                terminate SCIP after a set time limit, taking the best
                (fractional) solution found and apply a heuristic to
                (hopefully) generate a feasible integer solution.
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          <p class="MsoNormal" style="MARGIN: 0cm 0cm 10pt"><font
              size="3"><font face="Calibri">Obviously running
                replications (so repeating the process) may improve the
                (heuristic integer) solution found. What would be a good
                way to replicate the situation, ideally forcing SCIP to
                follow a different solution path from the previous
                replication to arrive at a different fractional
                solution?<o:p></o:p></font></font></p>
          <p class="MsoNormal" style="MARGIN: 0cm 0cm 10pt"><font
              face="Calibri" size="3">John Beasley</font><o:p></o:p></p>
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                                <p class="MsoNormal" style="MARGIN: 0cm
                                  0cm 0pt">John Beasley</p>
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                                <p class="MsoNormal" style="MARGIN: 0cm
                                  0cm 0pt">Emeritus Professor<br>
                                  Mathematical Sciences<br>
                                  Brunel University<br>
                                  Uxbridge UB8 3PH<br>
                                  UK<br>
                                  <br>
                                  <a class="moz-txt-link-freetext" href="http://people.brunel.ac.uk/~mastjjb/jeb/jeb.html">http://people.brunel.ac.uk/~mastjjb/jeb/jeb.html</a>
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      <pre wrap="">_______________________________________________
Scip mailing list
<a class="moz-txt-link-abbreviated" href="mailto:Scip@zib.de">Scip@zib.de</a>
<a class="moz-txt-link-freetext" href="http://listserv.zib.de/mailman/listinfo/scip">http://listserv.zib.de/mailman/listinfo/scip</a>
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