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 ...

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 ...

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 ...

This is a preview. Log in through your library . Abstract This paper describes a nurse scheduling system, the heart of which poses the scheduling decision as a large multiple-choice programming ...

Abstract: In many Internet of Things (IoT) applications, the freshness of data from sensor nodes (SNs) is critical for real-time decision-making. However, due to the limited energy of SNs, the system ...