We consider both branch-and-cut and column generation approaches for the problem of finding a minimum cost assignment of jobs with release dates and deadlines to unrelated parallel machines. Results are presented for several variants both with and without Constraint Programming. Among the...

We present an approach to couple the resolution of Combinatorial Optimization problems with methods from Machine Learning. Specifically, our study is framed in the context where a reference discrete optimization problem is given and there exist data for many variations of such reference problem...