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The weighted arborescence constraint

Authors :
Vinasetan Ratheil Houndji
Laurence A. Wolsey
Mahouton Norbert Hounkonnou
Pierre Schaus
UCL - SST/ICTM - Institute of Information and Communication Technologies, Electronics and Applied Mathematics
Source :
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformat, Vol. 10335 LNCS, p. 185-201 (2017), Integration of AI and OR Techniques in Constraint Programming ISBN: 9783319597751, CPAIOR
Publication Year :
2017
Publisher :
Springer Verlag, 2017.

Abstract

For a directed graph, a Minimum Weight Arborescence (MWA) rooted at a vertex r is a directed spanning tree rooted at r with the minimum total weight. We define the MinArborescence constraint to solve constrained arborescence problems (CAP) in Constraint Programming (CP). A filtering based on the LP reduced costs requires \(O(|V|^2)\) where |V| is the number of vertices. We propose a procedure to strengthen the quality of the LP reduced costs in some cases, also running in \(O(|V|^2)\). Computational results on a variant of CAP show that the additional filtering provided by the constraint reduces the size of the search tree substantially.

Details

Language :
English
ISBN :
978-3-319-59775-1
ISBNs :
9783319597751
Database :
OpenAIRE
Journal :
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformat, Vol. 10335 LNCS, p. 185-201 (2017), Integration of AI and OR Techniques in Constraint Programming ISBN: 9783319597751, CPAIOR
Accession number :
edsair.doi.dedup.....d8fff27262d6dcf1fd06272b9fc42edc