[rules-users] Monte Carlo and additional Optimisers for OptaPlanner

[Geoffrey De Smet]

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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