human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge groups authors who co-authored the same paper.

Details of the hypergraph:
Center hyperedge (induced by source paper "The vehicle-routing problem with time windows and driver-specific times"):
  Abstract: This paper proposes a tabu search algorithm for the vehicle-routing problem with time windows and driver-specific times (VRPTWDST), a variant of the classical VRPTW that uses driver-specific travel and service times to model the familiarity of the different drivers with the customers to visit. We carry out a systematic investigation of the problem on a comprehensive set of newly generated benchmark instances. We find that consideration of driver knowledge in the route planning clearly improves the efficiency of vehicle routes, an effect that intensifies for higher familiarity levels of the drivers. Increased benefits are produced if the familiar customers of drivers are geographically contiguous. Moreover, a higher number of drivers that are familiar with the same (larger) region provides higher benefits compared to a scenario where each driver is only familiar with a dedicated (smaller) region. Finally, our tabu search is able to prove its performance on the Solomon test instances of the closely related VRPTW, yielding high-quality solutions in short time.

Includes members:
  Member "Territory-Based Vehicle Routing in the Presence of Time-Window Constraints":
    also connected through other hyperedges:
      (none)

Question: Please tell me which research area the co-authored paper (i.e., the source paper of the center hyperedge) belongs to. The 4 classes are: Computer science, Mathematics, Engineering, Economics, Psychology, Business. Directly output the class name.

gpt: Mathematics