Accelerating Optimization Of Input Parameters In Wildland Fire Simulation

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Journal Title, Volume, Page: 
Parallel Processing And Applied Mathematics, Volume 3019/2004, 1067-1074
Year of Publication: 
Baker Abdalhaq
College Of Information Technology, An-Najah National University, Nablus, Palestine
Preferred Abstract (Original): 

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.