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

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...

Counting Constraint Satisfaction Problems (commonly referred to as #CSP) form a foundational framework in computational complexity theory by addressing the challenge of enumerating all possible ...

constraint satisfaction problems, or CSPs for short, are a flexible approach to searching that have proven useful in many AI-style problems CSPs can be used to solve problems such as graph-coloring: ...