Robust OCTs: Investigating classification tree robustness

The application of machine learning in daily life requires interpretability and robustness. In this paper we try to make the process of building robust and interpretable decision trees more accessible. We do this by making the fitting of these models cheaper and simpler. We build on previous research and see if changing input data or the fitting...

Optimal here and now decisions of multi stage robust optimisation: Optimale hier en nu beslissingen in multi stadia robuuste optimalisatie

Robust optimisation is shown to be extremely important in a wide range of applications including real life. Many research projects are dedicated to this relatively young and active research field and show the significant value of robust optimisation. Since many researchers have developed complex methods dedicated to robust optimisation, the aim...

Facility Location Models in Emergency Medical Service: Robustness and Approximations

In emergency medical service (EMS) the use of optimisation models and Operations Research techniques is becoming more common. EMS providers incorporate facility location models and simulation software packages into decision support tools, allowing the extensive evaluation of 'what-if' scenarios. We give a literature survey of facility location...