Large Forest Fire Spread Prediction: Data and Computational Science-Reference-Cited by-同舟云学术

Large Forest Fire Spread Prediction: Data and Computational Science

Published:2016 Issue: Volume:80 Page:909-918
ISSN:1877-0509
Container-title:Procedia Computer Science
language:en
Short-container-title:Procedia Computer Science

Author:

Artés Tomàs,Cortés Ana,Margalef Tomàs

Publisher

Elsevier BV

Subject

General Engineering

Reference14 articles.

1. Enhancing wildland fire prediction on cluster systems applying evolutionary optimization techniques;Baker;Future Generation Computer Systems,2005

2. F.A. Albini, Intermountain Forest, Utah) Range Experiment Station (Ogden, and United States. Forest Service. Estimating wildfire behavior and effects. General technical report INT. Dept. of Agriculture, Forest Service, Intermountain Forest and Range Experiment Station, 1976.

3. Wildland fire growth prediction method based on multiple overlapping solution;Bianchini;Journal of Computational Science,2010

4. Andrés Cencerrado, Ana Cortés, and Tomàs Margalef. Genetic algorithm characterization for the quality assessment of forest fire spread prediction. Procedia Computer Science, 9(0):312-320, 2012. Proceedings of the International Conference on Computational Science, ICCS 2012.

5. B. Chapman, G. Jost, and R. Van Der Pas. Using OpenMP: portable shared memory parallel programming, volume 10. The MIT Press, 2007.

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