Constraint programming (CP) is a programming paradigm where relations between variables are stated in the form of constraints. It's particularly useful for solving complex combinatorial problems such ...

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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 ...

Abstract: Constraint Answer Set Programming (CASP) combines Answer Set Programming (ASP) and Constraint Programming (CP) to offer a powerful framework for solving complex problems. While there exists ...

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 ...

This project involves designing and developing an intelligent, automated scheduling tool that can generate optimized work schedules for Peer Teaching Assistants (TAs) in the University of Cincinnati’s ...