Visual analysis of nurse rostering solutions through a bio-inspired intelligent model

Vaquerizo, M. Belén; Herrero Cosío, Álvaro; Corchado Rodríguez, Emilio Santiago

Título

dc.contributor.author	Vaquerizo, M. Belén
dc.contributor.author	Herrero Cosío, Álvaro
dc.contributor.author	Corchado Rodríguez, Emilio Santiago
dc.date.accessioned	2017-09-06T09:14:41Z
dc.date.available	2017-09-06T09:14:41Z
dc.date.issued	2011-11
dc.identifier.citation	Intelligent Systems Design and Applications (ISDA), 2011 11th International Conference on. pp. 231 - 236.
dc.identifier.isbn	978-1-4577-1676-8
dc.identifier.issn	2164-7143
dc.identifier.uri	http://hdl.handle.net/10366/134903
dc.description.abstract	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.
dc.format.mimetype	application/pdf
dc.language.iso	en
dc.publisher	IEEE
dc.rights	Attribution-NonCommercial-NoDerivs 3.0 Unported
dc.rights.uri	https://creativecommons.org/licenses/by-nc-nd/3.0/
dc.subject	Computer Science
dc.title	Visual analysis of nurse rostering solutions through a bio-inspired intelligent model
dc.type	info:eu-repo/semantics/conferenceObject
dc.rights.accessRights	info:eu-repo/semantics/openAccess