volume 27, issue 4, P690-703 2015
DOI: 10.1287/ijoc.2015.0654
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Abstract: Many combinatorial problems require of their solutions that they achieve a certain balance of given features. For this important aspect of modeling, the spread and deviation constraints have been proposed in Constraint Programming to express balance among a set of variables by constraining their mean and their overall deviation from the mean. Currently the only practical filtering algorithms known for these constraints achieve bounds consistency. In this paper we improve that filtering by presenting an efficie…

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