Enhancing wildland fire prediction on cluster systems applying evolutionary optimization techniques

Authors:
Baker Abdalhaq;Ana Cortés;Tomís Margalef;Emilio Luque
Affiliations:
Departament d'Informítica, E.T.S.E, Universitat Autònoma de Barcelona, Barcelona, Spain;Departament d'Informítica, E.T.S.E, Universitat Autònoma de Barcelona, Barcelona, Spain;Departament d'Informítica, E.T.S.E, Universitat Autònoma de Barcelona, Barcelona, Spain;Departament d'Informítica, E.T.S.E, Universitat Autònoma de Barcelona, Barcelona, Spain
Venue:
Future Generation Computer Systems
Year:
2005

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Abstract

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.