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Título
Visual analysis of nurse rostering solutions through a bio-inspired intelligent model
Autor(es)
Palabras clave
Computer Science
Fecha de publicación
2011/11
Editor
IEEE
Citación
Intelligent Systems Design and Applications (ISDA), 2011 11th International Conference on. pp. 231 - 236.
Resumen
In recent years, many solutions have been developed for the Nurse Rostering Problem. When a new problem of this kind arrives, it is not so easy to choose the proper solution from previous work. This study presents an application of a bio-inspired intelligent system to analyse and select previous nurse rostering solutions. This applied research presents a multidisciplinary study based on the application of unsupervised neural projection models in order to identify the similar solutions to the mentioned problem. The system has been tested under a real data set gathered from the current state of the art, achieving promising results.
URI
ISBN
978-1-4577-1676-8
ISSN
2164-7143
Collections
- BISITE. Congresos [298]
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