Grey Wolf Optimizer for the Nurse Rostering Problem
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...
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| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Language: | English English |
| Published: |
2022
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| Subjects: | |
| 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 |
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| Institution: | Universiti Malaysia Sabah |
| Language: | English English |