Modeling medical doctor rostering using hybrid genetic algorithm-particle swarm optimization
Rostering plays an important role in most manufacturing, production and healthcare systems. Manual staff rostering as opposed to a computerized system, particularly for medical doctors is usually challenging, tedious and tiresome, whereby the tasks involved too much time consumption due to changes i...
Saved in:
| Main Author: | |
|---|---|
| Format: | Thesis |
| Published: |
2014
|
| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/48534/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Institution: | Universiti Teknologi Malaysia |