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A Comprehensive Study of Forest Fire Behavior as Cellular Automata Model
| Content Provider | Semantic Scholar |
|---|---|
| Author | Siddiquee, M. Ashraf |
| Copyright Year | 2018 |
| Abstract | In this paper, we present a comprehensive study in which a 2D cellular automata model is created which is evolved using a genetic algorithm. Cellular automata (CAs) are spatially-extended discrete dynamical systems which has many desirable features for large class of computation [? ]. Our CA model is tailored to mimic the famous forest re behavior in presence of lightening strike. Some other properties like multiple species of trees and presence of reghters are introduced in our model. We analyzed our simulation results in detailed manner with and without these properties and observed many interesting behavioral paerns in the forest re model. e resultant behavior of the model is used to explain relationships among evolving forest growth, forest biomass, longevity and re-ghters' role on the overall model. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | https://www.cs.unm.edu/~siddiquee/pdfs/CASProject2.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
