A Generalized Arc-Consistency Algorithm for a Class of Counting Constraints
Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence. Pages 643-647.
Abstract
This paper introduces the Seqbin meta-constraint with a polytime algorithm achieving generalized arc-consistency. Seqbin can be used for encoding counting constraints such as Change, Smooth, or InncreasingNValue. For all of them the time and space complexity is linear in the sum of domain sizes, which improves or equals the best known results of the literature.
Thierry Petit, Nicolas Beldiceanu, and Xavier Lorca. 2011. A Generalized Arc-Consistency Algorithm for a Class of Counting Constraints. In Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence, IJCAI-11. IJCAI, 643–647. https://doi.org/10.5591/978-1-57735-516-8/IJCAI11-114
Petit, T., Beldiceanu, N., & Lorca, X. (2011). A Generalized Arc-Consistency Algorithm for a Class of Counting Constraints. In Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence, IJCAI-11 (pp. 643–647). IJCAI. https://doi.org/10.5591/978-1-57735-516-8/IJCAI11-114
@inproceedings{ijcai2011p114,
title = {A Generalized Arc-Consistency Algorithm for a Class of Counting Constraints},
author = {Petit, Thierry and Beldiceanu, Nicolas and Lorca, Xavier},
booktitle = {Proceedings of the Twenty-Second International Joint Conference on
Artificial Intelligence, {IJCAI-11}},
publisher = {AAAI Press/International Joint Conferences on Artificial Intelligence},
editor = {Toby Walsh},
pages = {643--647},
year = {2011},
month = {7},
doi = {10.5591/978-1-57735-516-8/IJCAI11-114},
url = {https://doi.org/10.5591/978-1-57735-516-8/IJCAI11-114},
}
TY - CPAPER TI - A Generalized Arc-Consistency Algorithm for a Class of Counting Constraints AU - Petit, Thierry AU - Beldiceanu, Nicolas AU - Lorca, Xavier T2 - Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence, IJCAI-11 PB - AAAI Press/International Joint Conferences on Artificial Intelligence PY - 2011 SP - 643 EP - 647 DO - 10.5591/978-1-57735-516-8/IJCAI11-114 UR - https://doi.org/10.5591/978-1-57735-516-8/IJCAI11-114 ER -Copied
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