Kocjan, Waldemar and Kreuger, Per (2004) Filtering methods for symmetric cardinality constraint. In: Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems. Lecture Notes in Computer Science (3011). Springer, pp. 200-208. ISBN 978-3-540-21836-4
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Abstract
The symmetric cardinality constraint is described in terms of a set of variables X={x1,...,xk}, which take their values as subsets of values V={v1,...,vn}. It constraints the cardinality of the set assigned to each variable to be in an interval [lxi,cxi] and at the same time it restricts the number of occurrences of each value vj in V in the sets assigned to variables in X to be in an other interval [lvj,cvj]. In this paper we introduce the symmetric cardinality constraint and define set constraint satisfaction problem as a framework for dealing with this type of constraints. Moreover, we present effective filtering methods for the symmetric cardinality constraint.
| Item Type: | Book Section |
|---|---|
| ID Code: | 2747 |
| Deposited By: | Dominique Johansson |
| Deposited On: | 18 Mar 2008 |
| Last Modified: | 18 Nov 2009 16:13 |
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