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Applying Probability Theory for the Quality Assessment of a Wildfire Spread Prediction Framework Based on Genetic Algorithms
Joint Authors
Cencerrado, Andrés
Cortés, Ana
Margalef, Tomàs
Source
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-12-25
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
This work presents a framework for assessing how the existing constraints at the time of attending an ongoing forest fire affect simulation results, both in terms of quality (accuracy) obtained and the time needed to make a decision.
In the wildfire spread simulation and prediction area, it is essential to properly exploit the computational power offered by new computing advances.
For this purpose, we rely on a two-stage prediction process to enhance the quality of traditional predictions, taking advantage of parallel computing.
This strategy is based on an adjustment stage which is carried out by a well-known evolutionary technique: Genetic Algorithms.
The core of this framework is evaluated according to the probability theory principles.
Thus, a strong statistical study is presented and oriented towards the characterization of such an adjustment technique in order to help the operation managers deal with the two aspects previously mentioned: time and quality.
The experimental work in this paper is based on a region in Spain which is one of the most prone to forest fires: El Cap de Creus.
American Psychological Association (APA)
Cencerrado, Andrés& Cortés, Ana& Margalef, Tomàs. 2013. Applying Probability Theory for the Quality Assessment of a Wildfire Spread Prediction Framework Based on Genetic Algorithms. The Scientific World Journal،Vol. 2013, no. 2013, pp.1-12.
https://search.emarefa.net/detail/BIM-1012802
Modern Language Association (MLA)
Cencerrado, Andrés…[et al.]. Applying Probability Theory for the Quality Assessment of a Wildfire Spread Prediction Framework Based on Genetic Algorithms. The Scientific World Journal No. 2013 (2013), pp.1-12.
https://search.emarefa.net/detail/BIM-1012802
American Medical Association (AMA)
Cencerrado, Andrés& Cortés, Ana& Margalef, Tomàs. Applying Probability Theory for the Quality Assessment of a Wildfire Spread Prediction Framework Based on Genetic Algorithms. The Scientific World Journal. 2013. Vol. 2013, no. 2013, pp.1-12.
https://search.emarefa.net/detail/BIM-1012802
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1012802