Fire propagation simulation is seen as a challenging problem in the area of simulation, due to the complexity of the physical models involved, the need for a great amount of computation and the difficulties of providing accurate input parameters. Input parameters appear as one of the major sources of deviation between predicted results and real-fire propagation. Evolutionary algorithms have been used to optimize the input parameters. However, such optimization techniques must be carried out during real-time operation and, therefore, certain methods must be applied to accelerate the optimization process. These methods take advantage of the computational power offered by distributed systems.

Title

Parallel Processing And Applied Mathematics, Volume 3019/2004, 1067-1074

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Publisher Country

Palestine

Publication Type

Both (Printed and Online)

Volume

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Year

2004

Pages

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