Grey Wolf Optimizer for the Nurse Rostering Problem

• Main Authors: Ngoo, Chong Man, Goh, Say Leng, Jonathan Likoh Juis @ Juise
• Format: Conference or Workshop Item
• Language: English; English
• Published: 2022
• Subjects: QA71-90 Instruments and machines
• Online Access: https://eprints.ums.edu.my/id/eprint/34504/1/FULL%20TEXT.pdf; https://eprints.ums.edu.my/id/eprint/34504/2/ABSTRACT.pdf; https://eprints.ums.edu.my/id/eprint/34504/; https://ieeexplore.ieee.org/document/9845150
• Institution: Universiti Malaysia Sabah

This paper proposes a novel discrete version of Grey Wolf Optimizer (GWO) in addressing selected Second International Nurse Rostering Competition (INRC-II) problem instances. The position-updating mechanism in the original GWO is replaced with mutation and crossover operators. Experiments are carrie...