Abstract:In robust optimization, finding a solution that solely respects the constraints is not enough.
Usually, the uncertainty and unknown parameters of the model are represented by random variables.
In such conditions, a good solution is a solution robust to most-likely assignments of these random variables.
Recently, the Confidence constraint has been introduced by Mercier-Aubin et al. in order to enforce this type of robustness in constraint programming.
Unfortunately, it is restricted to a conjunction of binary i… Show more
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