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    <div class="moz-cite-prefix">On 25-10-13 16:08, sirinath wrote:<br>
    </div>
    <blockquote
cite="mid:CAAfFNYGrj4TzF-sVJx2ApxX=_agqx9M6TiGGLN8uk+QK+nGpqQ@mail.gmail.com"
      type="cite">
      <p dir="ltr">Where is Drools chance hosted?</p>
    </blockquote>
    <a class="moz-txt-link-freetext" href="https://github.com/droolsjbpm/drools-chance">https://github.com/droolsjbpm/drools-chance</a><br>
    <blockquote
cite="mid:CAAfFNYGrj4TzF-sVJx2ApxX=_agqx9M6TiGGLN8uk+QK+nGpqQ@mail.gmail.com"
      type="cite">
      <p dir="ltr">Perhaps GA/GP can be a part of this? </p>
    </blockquote>
    Yes, here's a Genetic Algoritms prototype for OptaPlanner:<br>
    &nbsp; <a class="moz-txt-link-freetext" href="https://github.com/elsam/optaplanner">https://github.com/elsam/optaplanner</a><br>
    Results with GA's were poor, but we're going to add it sooner or
    later.<br>
    Here's the relevant issue to add it:<br>
    &nbsp; <a class="moz-txt-link-freetext" href="https://issues.jboss.org/browse/PLANNER-154">https://issues.jboss.org/browse/PLANNER-154</a><br>
    <br>
    <blockquote
cite="mid:CAAfFNYGrj4TzF-sVJx2ApxX=_agqx9M6TiGGLN8uk+QK+nGpqQ@mail.gmail.com"
      type="cite">
      <p dir="ltr">Also Monte Carlo.</p>
      <p dir="ltr">Maybe the current way to do is awkward? Is this
        covered in the documentation? </p>
    </blockquote>
    simulation isn't covered in the documentation.<br>
    <br>
    What kind of simulation do you want to do?<br>
    What's the problem definition?<br>
    <br>
    <blockquote
cite="mid:CAAfFNYGrj4TzF-sVJx2ApxX=_agqx9M6TiGGLN8uk+QK+nGpqQ@mail.gmail.com"
      type="cite">
      <div class="gmail_quote">On 25 Oct 2013 17:54, "ge0ffrey [via
        Drools]" &lt;<a moz-do-not-send="true"
          href="/user/SendEmail.jtp?type=node&amp;node=4026499&amp;i=0"
          target="_top" rel="nofollow" link="external">[hidden email]</a>&gt;
        wrote:<br type="attribution">
        <blockquote style="border-left:2px solid #CCCCCC;padding:0 1em"
          class="gmail_quote"> <br>
          On 25-10-13 12:50, sirinath wrote:
          <br>
          &gt; Hi,
          <br>
          &gt;
          <br>
          &gt; Is it possible to provide more out of the box optimisers
          and solvers as part
          <br>
          &gt; of OptaPlanner.
          <br>
          Yes, we're trying to add more every major release.
          <br>
          For 6.1 we 'll probably add the CH's "cheapest insertion" and
          "regret <br>
          insertion".
          <br>
          If you want to add one yourself, start by looking at <br>
          DefaultLocalSearchSolverPhase.java.
          <br>
          &gt;
          <br>
          &gt; Also add functionality for simulations (Monte Carlo)
          which would be a good
          <br>
          &gt; addition and fit.
          <br>
          Simulation support would be great indeed - but the
          requirements aren't <br>
          clearly definied yet (feedback, examples or use cases
          welcome).
          <br>
          <br>
          It's already possible to do simulation + optimization
          <br>
          by doing the simulation inside the score function (for example
          by <br>
          running a monte carlo simulation)
          <br>
          and doing the optimization with optaplanner.
          <br>
          <br>
          drools-chance (very experimental currently) has a lot of
          constructs that <br>
          can help in simulation (bayes stuff etc).
          <div><br>
            &gt;
            <br>
            &gt; Suminda
            <br>
            &gt;
            <br>
            &gt;
            <br>
            &gt;
            <br>
            &gt; --
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