Constraint programming combined with machine learning provides a robust framework for addressing complex combinatorial problems across diverse domains such as energy management, production scheduling ...

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Constraint Programming (CP) has been successful in a number of combinatorial search and discrete optimisation problems. Yet other more traditional approaches, such as Integer Programming (IP), can ...

In a previous paper we obtained characterizations of constraint sets determined by a finite number of differentiable pseudoconcave constraint functions possessing an interior point, and showed that ...

In the article, the authors harness recent advances in incremental answer set solving for developing effective algorithms for reasoning tasks in the logic programming fragment of assumption-based ...

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