In this paper we consider a class of parallel machine scheduling problems and their associated set-partitioning formulations. We show that the tightness of the linear programming relaxation of these ...

This project applies linear and integer programming to optimize hospital staff scheduling by minimizing costs while ensuring adequate coverage across morning, evening, and night shifts. The model ...

The project focuses on solving a complex factory scheduling problem by assigning tasks to physical and human resources efficiently, aiming to minimize total completion time. It's being developed in ...

Impact Statement: Genetic programming is a widely used approach for learning scheduling heuristics in scheduling problems. However, the training process is often time-consuming due to extensive ...

At TechCon in London on Tuesday5 RCS will unveil SelectorCloud and the latest release of ZettaCloud, two cloud-native ...