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Filtering methods for symmetric cardinality constraint
RISE, Swedish ICT, SICS, Decisions, Networks and Analytics lab.ORCID iD: 0000-0002-9331-0352
2004 (English)In: Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems, Springer , 2004, 5, , p. 9p. 200-208Conference paper, Published paper (Refereed)
Abstract [en]

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.

Place, publisher, year, edition, pages
Springer , 2004, 5. , p. 9p. 200-208
Series
Lecture Notes in Computer Science ; 10.1007/b96957
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:ri:diva-22351DOI: 10.1007/b96957ISBN: 978-3-540-21836-4 (print)OAI: oai:DiVA.org:ri-22351DiVA, id: diva2:1041896
Conference
First International Conference (PAIOR 2004)
Note

Lecture Notes in Computer Science (3011),Springer. ISBN 978-3-540-21836-4

Available from: 2016-10-31 Created: 2016-10-31 Last updated: 2018-01-14Bibliographically approved

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CiteExportLink to record
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  • apa
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Language
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  • Other locale
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Output format
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