Acquiring Parameters of Implied Global Constraints

Christian Bessière 1 Remi Coletta 2 Thomas Petit
1 COCONUT - Agents, Apprentissage, Contraintes
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier
2 ZENITH - Scientific Data Management
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier, CRISAM - Inria Sophia Antipolis - Méditerranée
Abstract : This paper presents a technique for learning parameterized implied constraints. They can be added to a model to improve the solving process. Experiments on implied Gcc constraints show the interest of our approach.
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Christian Bessière, Remi Coletta, Thomas Petit. Acquiring Parameters of Implied Global Constraints. CP: Principles and Practice of Constraint Programming, Oct 2005, Sitges, Spain. pp.747-751, ⟨10.1007/11564751_57⟩. ⟨lirmm-00106045⟩

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