A Learning Large Neighborhood Search for the Staff Rerostering Problem

Abstract

Full Citation:

Fabio F. Oberweger, Günther R. Raidl, Elina Rönnberg, Marc Huber. A Learning Large Neighborhood Search for the Staff Rerostering Problem. Integration of Constraint Programming, Artificial Intelligence, and Operations Research – CPAIOR 2022 (Pierre Schaus, ed.), volume 13292 of LNCS, pages 300–317, 2022, Springer.

Günther Raidl

Günther Raidl is a Professor at the Algorithms and Complexity Group.