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How much past to see the future: a computational study in calibrating urban cellular automata / Ivan Blecic in International journal of geographical information science IJGIS, vol 29 n° 3 (March 2015)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 29 n° 3 (March 2015) . - pp 349 - 374 Titre : How much past to see the future: a computational study in calibrating urban cellular automata Type de document : Article/Communication Auteurs : Ivan Blecic, Auteur ; Arnaldo Cecchini, Auteur ; Giuseppe A. Trunfio, Auteur Année de publication : 2015 Article en page(s) : pp 349 - 374 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Intelligence artificielle [Termes IGN] analyse spatio-temporelle [Termes IGN] automate cellulaire [Termes IGN] cartographie ancienne [Termes IGN] cartographie automatique [Termes IGN] étalonnage de modèle [Termes IGN] simulation [Termes IGN] système d'information urbain [Termes IGN] urbanisation Résumé : (Auteur) The objective of this computational study was to investigate to which extent the availability and the way of use of historical maps may affect the quality of the calibration process of cellular automata (CA) urban models. The numerical experiments are based on a constrained CA applied to a case study. Since the model depends on a large number of parameters, we optimize the CA using cooperative coevolutionary particle swarms, which is an approach known for its ability to operate effectively in search spaces with a high number of dimensions. To cope with the relevant computational cost related to the high number of CA simulations required by our study, we use a parallelized CA model that takes advantage of the computing power of graphics processing units. The study has shown that the accuracy of simulations can be significantly influenced by both the number and position in time of the historical maps involved in the calibration. Numéro de notice : A2015-582 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/13658816.2014.970190 En ligne : http://www.tandfonline.com/doi/full/10.1080/13658816.2014.970190 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=77867 [article]