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 ...

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

This repository contains all the models that are presented in the master thesis named "Modeling and Solving Composite Structure Design with Constraint Programming" performed at UCLouvain. This ...

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: To satisfy the requirements of complex and special analog layout constraints, a constraint symbolization method based on geometric programming for analog layout retargeting is presented in ...

Abstract: Over the recent years it has become apparent that applications of abduction depend significantly on the ability to integrate abductive reasoning with specialised constraint solving. In this ...