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.

We like to treat solvers as magical black boxes, but it’s worth understanding their basic principle. In this episode, find out more about how solvers can be used to find our optimum incredibly fast.

Creating tournament schedules seems simple, but in practice it can be quite complex. It’s also a great example of optimization. Learn more about the details and tricks of creating tournament schedules in this episode.