TY - JOUR
T1 - Anesthesiology nurse scheduling using particle swarm optimization
AU - Altamirano, Leopoldo
AU - Riff, María Cristina
AU - Araya, Ignacio
AU - Trilling, Lorraine
N1 - Funding Information:
This work is supported by the Fondecyt Project 1120781. María Cristina Riff is partially supported by the Centro Científico-Tecnológico de Valparaíso (CCTVal), NoFB0821. Ignacio Araya is supported by the UTFSM Researcher Associated Program.
PY - 2012/2
Y1 - 2012/2
N2 - 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.
AB - 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.
KW - Artificial Intelligence
KW - Heuristic Search
KW - Nurse Scheduling
KW - Particle Swarm Optimization
UR - http://www.scopus.com/inward/record.url?scp=84865740733&partnerID=8YFLogxK
U2 - 10.1080/18756891.2012.670525
DO - 10.1080/18756891.2012.670525
M3 - Article
AN - SCOPUS:84865740733
SN - 1875-6891
VL - 5
SP - 111
EP - 125
JO - International Journal of Computational Intelligence Systems
JF - International Journal of Computational Intelligence Systems
IS - 1
ER -