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Genetic Algorithm Characterization for the Quality Assessment of Forest Fire Spread Prediction
2012
Procedia Computer Science
When an emergency occurs, hazard evolution simulators are a very helpful tool for the teams in charge of making decisions. These simulators need certain input data, which defines the characteristics of the environment where the emergency is taking place. This kind of data usually constitutes a big set of parameters, which have been previously recorded from observations, usually coming from remote sensors, pictures, etc. However, this data is frequently subject to a high degree of uncertainty,
doi:10.1016/j.procs.2012.04.033
fatcat:mm6lgtje7nhavj2xe74mclaucm