Handbook of Constraint Programming (Foundations of Artificial Intelligence)

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Learning Relational Representations with Auto-encoding Logic Programs (2019, methodology): “The obtained sets, which define the space of candidate clauses to choose from, are then pruned and used to formulate the learning task as a generic constraint optimisation problem (COP) [Rossi et al., 2006].”
Constraint programming for itemset mining (2008, unknown): “in the area of constraint programming [2, 13].”
A survey on service quality description (2013, methodology): “A good solution to this problem would be to transform the SL description into an appropriate constraint model and then use Constraint Logic Programming (CLP) (for arbitrary logical combinations of SLOs) or constraint programming (only for conjunctions of SLOs) techniques [Rossi et al. 2006] to check”
Entropy: a consolidation manager for clusters (2009, background): “Our consolidation manager, Entropy, works in two phases and is based on constraint solving [2, 14].”