Enhancing Wildland Fire Prediction on Cluster Systems Applying Evolutionary Optimization Techniques

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Journal Title, Volume, Page: 
Future Generation Computer Systems Volume 21, Issue 1, 1 January 2005, Pages 61-67
Year of Publication: 
2005
Authors: 
Baker Abdalhaq
Current Affiliation: 
Department of Computerized Information Systems, Faculty of Engineering and Information Technology, An-Najah National University, Nablus. Palestine
Preferred Abstract (Original): 

Classical prediction fire schemes do not match the real fire propagation, basically, because of the complexity of the physical models involved, the need for a great amount of computation and the difficulties of providing accurate input parameters. We describe an enhanced prediction scheme, which uses recent fire history and optimization techniques to predict near future propagation. The proposed method takes advantage of the computational power offered by distributed systems to accelerate the optimization process at real time.