International Journal of Computational Intelligence Systems

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/).

Download article (PDF)

Journal
International Journal of Computational Intelligence Systems
Volume-Issue
5 - 1
Pages
111 - 125
Publication Date
2012/02/01
ISSN (Online)
1875-6883
ISSN (Print)
1875-6891
DOI
10.1080/18756891.2012.670525How to use a DOI?
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  -