CUED Publications database

GPU-accelerated optimization of fuel treatments for mitigating wildfire hazard

Arca, B and Ghisu, T and Spataro, W and Trunfio, GA (2013) GPU-accelerated optimization of fuel treatments for mitigating wildfire hazard. Procedia Computer Science, 18. pp. 966-975. ISSN 1877-0509

Full text not available from this repository.

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.

Item Type: Article
Subjects: UNSPECIFIED
Divisions: Div C > Engineering Design
Depositing User: Cron Job
Date Deposited: 17 Jul 2017 19:16
Last Modified: 18 Nov 2017 21:43
DOI: