Anesthesiology nurse scheduling using particle swarm optimization

Leopoldo Altamirano, María Cristina Riff, Ignacio Araya, Lorraine Trilling

Resultado de la investigación: Contribución a una revistaArtículorevisión exhaustiva

7 Citas (Scopus)

Resumen

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.

Idioma originalInglés
Páginas (desde-hasta)111-125
Número de páginas15
PublicaciónInternational Journal of Computational Intelligence Systems
Volumen5
N.º1
DOI
EstadoPublicada - feb 2012
Publicado de forma externa

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