Rodríguez Martínez, AdánVitoriano Villanueva, BegoñaLeguey, IgnacioDamage, Marc2023-06-182023-06-1820181613-0073https://hdl.handle.net/20.500.14352/19397En: G. Di Stefano, A. Navarra Editors: Proceedings of the GEOSAFE Workshop on Robust Solutions for Fire Fighting L'Aquila, Italy, July 19-20, 2018.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.engLocating fuel breaks to minimise the risk of impact of wild firejournal articlehttps://ceur-ws.org/Vol-2146/short59.pdfopen access519.856519.853Stochastic programmingMixed integer programmingNonlinear programmingBayesian inferenceEstadística matemática (Matemáticas)Investigación operativa (Matemáticas)1209 Estadística1207 Investigación Operativa