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.

Sometimes optimization specialists combine different existing techniques to tackle a new type of problem. This is the case for flow network analysis and the facility location problem by combining them to flow location networks. Let’s see how that works and what can be solved this way.

Did you know that quantum computers actually exist to work with? And they are incredibly fast! But is that true for all algorithms?