The improvement of computer algorithm for forest fire model based on cellular automata

The computer algorithm and its improvement of traditional forest fire model based on cellular automata are discussed in this paper. By optimizing algorithm of the model, dynamic updating the tree cluster, introducing the breadth-first search (BFS) algorithm and optimizing the internal memory using, the running time of the model is greatly shorten, and the occupation of internal memory is obviously reduced. The results show that the improvement makes the practical application of the model in forest fire forecasting and warning possible.