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

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 ...

Programs traditionally consist of a series of statements describing how to solve a problem. Declarative programs instead describe what problem to solve and what a solution would look like. The program ...

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 ...