Resource level allocation entails assigning execution times to a set of resource levels required to complete a task. This is an important problem, particularly in the services sector. We consider a realworld variant of this problem originating from a legal business. The objective considered is the maximisation of damages savings.
We apply an Estimation of Distribution Algorithm (EDA) to this problem and use a machine learning model, Random Forest, as a fitness approximation method. Thee hybrid EDA presents promising results.