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 ...

This is a preview. Log in through your library . Abstract The hyperbolic (or fractional) linear programming problem with only one aggregate constraint is solved by a simple and extremely efficient ...