Representing, solving and learning optimization problems with logical constraints KU Leuven
The learn + solve approach combines machine learning and reasoning to learn explicit problem representations from data in the form of models and uses general purpose solvers to find solutions for these learned models.
Learning models from data allows users that are unfamiliar with modeling languages to make use of powerful solvers.
These learned models can also be easily verified, modified and extended.
The use of general ...