Volume 5, Issue 1, February 2012, Pages 111 - 125
Anesthesiology Nurse Scheduling using Particle Swarm Optimization
Authors
Leopoldo Altamirano, María Cristina Riff, Ignacio Araya, Lorraine Trilling
Corresponding Author
Leopoldo Altamirano
Received 19 April 2011, Accepted 8 December 2011, Available Online 1 February 2012.
- DOI
- 10.1080/18756891.2012.670525How to use a DOI?
- Keywords
- Artificial Intelligence, Heuristic Search, Particle Swarm Optimization, Nurse Scheduling
- Abstract
In this article we present an approach designed to solve a real world problem: the Anesthesiology Nurse Scheduling Problem (ANSP) at a public French hospital. The anesthesiology nurses are one of the most shared resources in the hospital and we attempt to find a fair/balanced schedule for them, taking into account a set of constraints and the nurses’ stated preferences, concerning the different shifts. We propose a particle swarm optimization algorithm to solve the ANSP. Finally, we compare our technique with previous results obtained using integer programming.
- Copyright
- © 2017, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - JOUR AU - Leopoldo Altamirano AU - María Cristina Riff AU - Ignacio Araya AU - Lorraine Trilling PY - 2012 DA - 2012/02/01 TI - Anesthesiology Nurse Scheduling using Particle Swarm Optimization JO - International Journal of Computational Intelligence Systems SP - 111 EP - 125 VL - 5 IS - 1 SN - 1875-6883 UR - https://doi.org/10.1080/18756891.2012.670525 DO - 10.1080/18756891.2012.670525 ID - Altamirano2012 ER -