Constraint Programming (CP) is a paradigm for solving constraint satisfaction and optimization problems. CP has been successfully applied to a wide range of domains, including scheduling, resource allocation, and planning. However, as problem sizes grow, traditional CP methods can become computationally expensive, leading to increased solving times or even failure to find optimal solutions.
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