At first glance, infeasible problems present a major challenge. Where do the problems come from and how can you recognise and solve them? In this episode, we will explain why you shouldn’t panic about such problems and what options there are for solving them. Have fun with it!

As promised, we don’t settle for regular heuristics: we make them meta! We explain what that means and how it works in our new episode.

It seems virtually impossible to find a model for our decision-making which takes all details into account. In this episode we demonstrate how data abstraction can help to model a problem, thus making it the core of successful optimization.