Multiple jobs are processed simultaneously on a given batch processing machine in parallel
batching. The resulting batch is called a p-batch. Batching can lead to reduced production …

Vehicle routing problems (VRPs) are among the most studied problems in operations
research. Nowadays, the leading exact algorithms for solving many classes of VRPs are …

The vehicle routing problem with drones (VRPD) is an extension of the classic capacitated
vehicle routing problem, where not only trucks but drones are used to deliver parcels to …

As the sixth generation (6G) network is under research, and one important issue is the aerial
access network and terrestrial-space integration. The Internet of Remote Things (IoRT) …

The branch-and-bound (B&B) algorithmic framework has been used successfully to find
exact solutions for a wide array of optimization problems. B&B uses a tree search strategy to …

Effective route planning for battery electric commercial vehicle (ECV) fleets has to take into
account their limited autonomy and the possibility of visiting recharging stations during the …

This paper provides a comprehensive survey of research on operating room planning and
scheduling problems. Aiming to give a comprehensive classification on the studied …

Column generation (CG) is widely used for solving large-scale optimization problems. This
article presents a new approach based on a machine learning (ML) technique to accelerate …

Multistage stochastic integer programming (MSIP) combines the difficulty of uncertainty,
dynamics, and non-convexity, and constitutes a class of extremely challenging problems. A …

Task allocation is an important aspect of many multi-robot systems. The features and
complexity of multi-robot task allocation (MRTA) problems are dictated by the requirements …