Locating fuel breaks to minimise the risk of impact of wild fire
| dc.contributor.author | Rodríguez Martínez, Adán | |
| dc.contributor.author | Vitoriano Villanueva, Begoña | |
| dc.contributor.author | Leguey, Ignacio | |
| dc.contributor.author | Damage, Marc | |
| dc.date.accessioned | 2023-06-18T00:11:45Z | |
| dc.date.available | 2023-06-18T00:11:45Z | |
| dc.date.issued | 2018 | |
| dc.description | En: G. Di Stefano, A. Navarra Editors: Proceedings of the GEOSAFE Workshop on Robust Solutions for Fire Fighting L'Aquila, Italy, July 19-20, 2018. | |
| dc.description.abstract | In order to respond the question “Where to locate fuel breaks?”, a peculiar location model is presented involving stochastic mixed integer nonlinear optimization, Bayesian networks and directional statistic inference. From a first simple approximation to the large model, will be shown what motivates follow models and its complexity incorporated. Also, a case study with real data about Corsica region is presented. | en |
| dc.description.department | Depto. de Estadística e Investigación Operativa | |
| dc.description.faculty | Fac. de Ciencias Matemáticas | |
| dc.description.refereed | TRUE | |
| dc.description.status | pub | |
| dc.eprint.id | https://eprints.ucm.es/id/eprint/76228 | |
| dc.identifier.issn | 1613-0073 | |
| dc.identifier.officialurl | https://ceur-ws.org/Vol-2146/short59.pdf | |
| dc.identifier.uri | https://hdl.handle.net/20.500.14352/19397 | |
| dc.journal.title | CEUR workshop proceedings | |
| dc.language.iso | eng | |
| dc.page.final | 7 | |
| dc.page.initial | 3 | |
| dc.publisher | R. Piskac c/o Redaktion Sun SITE Informatik V RWTH Aachen | |
| dc.rights.accessRights | open access | |
| dc.subject.cdu | 519.856 | |
| dc.subject.cdu | 519.853 | |
| dc.subject.keyword | Stochastic programming | |
| dc.subject.keyword | Mixed integer programming | |
| dc.subject.keyword | Nonlinear programming | |
| dc.subject.keyword | Bayesian inference | |
| dc.subject.ucm | Estadística matemática (Matemáticas) | |
| dc.subject.ucm | Investigación operativa (Matemáticas) | |
| dc.subject.unesco | 1209 Estadística | |
| dc.subject.unesco | 1207 Investigación Operativa | |
| dc.title | Locating fuel breaks to minimise the risk of impact of wild fire | en |
| dc.type | journal article | |
| dc.volume.number | 2146 | |
| dcterms.references | [Cheng and Hadjisophocleous, 2009] Cheng, H. and Hadjisophocleous, G. V. (2009). The modeling of fire spread in buildings by bayesian network. Fire Safety Journal, 44(6):901–908. PT: J; NR: 23; TC: 15; J9: FIRE SAFETY J; PG: 8; GA: 477OZ; UT: WOS:000268529700009. [Garvey et al., 2015] Garvey, M. D., Carnovale, S., and Yeniyurt, S. (2015). An analytical framework for supply network risk propagation: A bayesian network approach. European Journal of Operational Research, 243(2):618. [Leguey et al., 2016] Leguey, I., Bielza, C., and Larranaga, P. (2016). Tree-structured bayesian networks for wrapped cauchy directional distributions. Advances in Artificial Intelligence, Caepia 2016, 9868:207–216. PT: S; CT: 17th Conference of the Spanish-Association-for-Artificial-Intelligence (CAEPIA); CY: SEP 14-16, 2016; CL: Salamanca, SPAIN; SP: Spanish Assoc Artificial Intelligence, BISITE, Univ Salamanca, Springer Team, AEPIA; NR: 25; TC: 0; J9: LECT NOTES ARTIF INT; PG: 10; GA: BG2XK; UT: WOS:000387750600019. [Levchenkov, 2000] Levchenkov, V. (2000). Solution of equations in boolean algebra. Computational Mathematics and Modeling, 11(2):154–163. | |
| dspace.entity.type | Publication | |
| relation.isAuthorOfPublication | 03243862-8e13-4d32-878b-a8b0f3ae5545 | |
| relation.isAuthorOfPublication | efbdfdd4-3d98-4463-813b-73beda8ff1dc | |
| relation.isAuthorOfPublication.latestForDiscovery | 03243862-8e13-4d32-878b-a8b0f3ae5545 |
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