On 14/04/07, Guido Tack <[EMAIL PROTECTED]> wrote:
You usually work around this problem by adding another variable (say
"y") to your model, adding the constraint "ax < y" to your model, and
then just adding constraints "y < 10", "y<9" and so on during branch
and bound. These constraints are not represented as propagators, but
just immediately shrink the variable's domain.

I suspected i was missing something :) I hadnt noticed that that the
examples were posting constraints on a single variable. Thank you for
clarifying this for me.

I think this model fits for most objective functions, but I would be
very interested in an application where you can't avoid posting more
and more real propagators during branch and bound.

Cant help you there, the objective i am considering is a simple
weighted sum of variable values, so the above trick fits nicely.

Regards,
Peter Tiedemann

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