GPU-accelerated optimization of fuel treatments for mitigating wildfire hazard

5Citations
Citations of this article
12Readers
Mendeley users who have this article in their library.

Abstract

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. © 2013 The Authors. Published by Elsevier B.V.

Cite

CITATION STYLE

APA

Arca, B., Ghisu, T., Spataro, W., & Trunfio, G. A. (2013). GPU-accelerated optimization of fuel treatments for mitigating wildfire hazard. In Procedia Computer Science (Vol. 18, pp. 966–975). Elsevier B.V. https://doi.org/10.1016/j.procs.2013.05.262

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free