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The Scientific World Journal
Volume 2013, Article ID 728414, 12 pages
http://dx.doi.org/10.1155/2013/728414
Research Article

Applying Probability Theory for the Quality Assessment of a Wildfire Spread Prediction Framework Based on Genetic Algorithms

Computer Architecture and Operating Systems Department, Autonomous University of Barcelona, Bellaterra, 08193 Barcelona, Spain

Received 1 October 2013; Accepted 18 November 2013

Academic Editors: T. Chen, Q. Cheng, and J. Yang

Copyright © 2013 Andrés Cencerrado et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [2 citations]

The following is the list of published articles that have cited the current article.

  • Andres Cencerrado, Ana Cortes, and Tomas Margalef, “Response time assessment in forest fire spread simulation: An integrated methodology for efficient exploitation of available prediction time,” Environmental Modelling & Software, vol. 54, pp. 153–164, 2014. View at Publisher · View at Google Scholar
  • Andres Cencerrado, Tomas Artes, Ana Cortes, Tomas Margalef, Andrés Cencerrado, Tomàs Artés, Ana Cortés, and Tomàs Margalef, “Relieving uncertainty in forest fire spread prediction by exploiting multicore architectures,” Procedia Computer Science, vol. 51, no. 1, pp. 1752–1761, 2015. View at Publisher · View at Google Scholar