Arca, Bachisio and Ghisu, Tiziano and Spataro, William and Trunfio, Giuseppe Andrea (2013) GPU-accelerated optimization of fuel treatments for mitigating wildfire hazard. In: 13. International Conference on Computational Science: Computation at the frontiers of science (ICCS 2013), 4-6 June 2013 , Barcelona, Spain. [S.l.], Elsevier. Vol. 18. p. 966-975. ISSN 1877-0509. Conference or Workshop Item.
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Fuel treatment is considered a suitable way to mitigate the hazard related to potential wildfires on a landscape. However, designing an optimal spatial layout of treatment units represents a difficult optimization problem. In fact, budget constraints, the probabilistic nature of fire spread and interactions among the different area units composing the whole treatment, give rise to challenging search spaces on typical landscapes. In this paper we formulate such optimization problem with the objective of minimizing the extension of land characterized by high fire hazard. Then, we propose a computational approach that leads to a spatially-optimized treatment layout exploiting Tabu Search and General-Purpose computing on Graphics Processing Units (GPGPU). Using an application example, we also show that the proposed methodology can provide high-quality design solutions in low computing time.
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