Hybrid-Parallel Uncertainty Reduction Method Applied to Forest Fire Spread Prediction
Fire behavior prediction can be a fundamental tool to reduce losses and damages in emergency situations. However, this process is often complex and affected by the existence of uncertainty. For this reason, from different areas of science, several methods and systems are developed and refined to red...
Guardado en:
| Autores principales: | , , , , |
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| Formato: | Articulo |
| Lenguaje: | Inglés |
| Publicado: |
2017
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| Acceso en línea: | http://sedici.unlp.edu.ar/handle/10915/59977 http://journal.info.unlp.edu.ar/wp-content/uploads/2017/05/JCST-44-Paper-2.pdf |
| Aporte de: |
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I19-R120-10915-59977 |
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| record_format |
dspace |
| institution |
Universidad Nacional de La Plata |
| institution_str |
I-19 |
| repository_str |
R-120 |
| collection |
SEDICI (UNLP) |
| language |
Inglés |
| topic |
Ciencias Informáticas hybrid metaheuristics differential evolution evolutionary algorithms fire prediction uncertainty reduction |
| spellingShingle |
Ciencias Informáticas hybrid metaheuristics differential evolution evolutionary algorithms fire prediction uncertainty reduction Méndez Garabetti, Miguel BIanchini, Germán Tardivo, María Laura Caymes Scutari, Paola Gil Costa, Graciela Verónica Hybrid-Parallel Uncertainty Reduction Method Applied to Forest Fire Spread Prediction |
| topic_facet |
Ciencias Informáticas hybrid metaheuristics differential evolution evolutionary algorithms fire prediction uncertainty reduction |
| description |
Fire behavior prediction can be a fundamental tool to reduce losses and damages in emergency situations. However, this process is often complex and affected by the existence of uncertainty. For this reason, from different areas of science, several methods and systems are developed and refined to reduce the effects of uncertainty In this paper we present the Hybrid Evolutionary-Statistical System with Island Model (HESS-IM). It is a hybrid uncertainty reduction method applied to forest fire spread prediction that combines the advantages of two evolutionary population metaheuristics: Evolutionary Algorithms and Differential Evolution. We evaluate the HESS-IM with three controlled fires scenarios, and we obtained favorable results compared to the previous methods in the literature. |
| format |
Articulo Articulo |
| author |
Méndez Garabetti, Miguel BIanchini, Germán Tardivo, María Laura Caymes Scutari, Paola Gil Costa, Graciela Verónica |
| author_facet |
Méndez Garabetti, Miguel BIanchini, Germán Tardivo, María Laura Caymes Scutari, Paola Gil Costa, Graciela Verónica |
| author_sort |
Méndez Garabetti, Miguel |
| title |
Hybrid-Parallel Uncertainty Reduction Method Applied to Forest Fire Spread Prediction |
| title_short |
Hybrid-Parallel Uncertainty Reduction Method Applied to Forest Fire Spread Prediction |
| title_full |
Hybrid-Parallel Uncertainty Reduction Method Applied to Forest Fire Spread Prediction |
| title_fullStr |
Hybrid-Parallel Uncertainty Reduction Method Applied to Forest Fire Spread Prediction |
| title_full_unstemmed |
Hybrid-Parallel Uncertainty Reduction Method Applied to Forest Fire Spread Prediction |
| title_sort |
hybrid-parallel uncertainty reduction method applied to forest fire spread prediction |
| publishDate |
2017 |
| url |
http://sedici.unlp.edu.ar/handle/10915/59977 http://journal.info.unlp.edu.ar/wp-content/uploads/2017/05/JCST-44-Paper-2.pdf |
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Repositorios |
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