Evolutionary-statistical system for uncertainty reduction problems in wildfires
Fire modelling is used by engineers and scientists to understand and to predict possible fire behaviour. Empirical, semi-empirical, and physical models have been developed to predict wildfire behaviour. Any of these can be used to develop simulators and tools for preventing and fighting wildfires. H...
Guardado en:
| Autores principales: | BIanchini, Germán, Méndez Garabetti, Miguel, Caymes Scutari, Paola |
|---|---|
| Formato: | Objeto de conferencia |
| Lenguaje: | Inglés |
| Publicado: |
2012
|
| Materias: | |
| Acceso en línea: | http://sedici.unlp.edu.ar/handle/10915/23618 |
| Aporte de: |
Ejemplares similares
-
Increase in the quality of the prediction of a computational wildfire behavior methodthrough the improvement of the internal metaheuristic
por: Méndez Garabetti, Miguel, et al.
Publicado: (2023) -
Uncertainty Reduction Method Based on Statistics and Parallel Evolutionary Algorithms
por: Bianchini, Germán, et al.
Publicado: (2011) -
ESSIM-EA applied to Wildfire Prediction using Heterogeneous Configuration for Evolutionary Parameters
por: Méndez Garabetti, Miguel, et al.
Publicado: (2023) -
ESSIM-EA applied to Wildfire Prediction using Heterogeneous Configuration for Evolutionary Parameters
por: Méndez Garabetti, Miguel, et al.
Publicado: (2017) -
Hybrid-Parallel Uncertainty Reduction Method Applied to Forest Fire Spread Prediction
por: Méndez Garabetti, Miguel, et al.
Publicado: (2023)