[rules-users] Monte Carlo and additional Optimisers for OptaPlanner
Geoffrey De Smet
ge0ffrey.spam at gmail.com
Fri Oct 25 10:17:12 EDT 2013
On 25-10-13 16:08, sirinath wrote:
>
> Where is Drools chance hosted?
>
https://github.com/droolsjbpm/drools-chance
>
> Perhaps GA/GP can be a part of this?
>
Yes, here's a Genetic Algoritms prototype for OptaPlanner:
https://github.com/elsam/optaplanner
Results with GA's were poor, but we're going to add it sooner or later.
Here's the relevant issue to add it:
https://issues.jboss.org/browse/PLANNER-154
> Also Monte Carlo.
>
> Maybe the current way to do is awkward? Is this covered in the
> documentation?
>
simulation isn't covered in the documentation.
What kind of simulation do you want to do?
What's the problem definition?
> On 25 Oct 2013 17:54, "ge0ffrey [via Drools]" <[hidden email]
> </user/SendEmail.jtp?type=node&node=4026499&i=0>> wrote:
>
>
> On 25-10-13 12:50, sirinath wrote:
> > Hi,
> >
> > Is it possible to provide more out of the box optimisers and
> solvers as part
> > of OptaPlanner.
> Yes, we're trying to add more every major release.
> For 6.1 we 'll probably add the CH's "cheapest insertion" and "regret
> insertion".
> If you want to add one yourself, start by looking at
> DefaultLocalSearchSolverPhase.java.
> >
> > Also add functionality for simulations (Monte Carlo) which would
> be a good
> > addition and fit.
> Simulation support would be great indeed - but the requirements
> aren't
> clearly definied yet (feedback, examples or use cases welcome).
>
> It's already possible to do simulation + optimization
> by doing the simulation inside the score function (for example by
> running a monte carlo simulation)
> and doing the optimization with optaplanner.
>
> drools-chance (very experimental currently) has a lot of
> constructs that
> can help in simulation (bayes stuff etc).
>
> >
> > Suminda
> >
> >
> >
> > --
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> Nabble.com.
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