TY  - JOUR
PY  - 2005//
TI  - Enhancing wildland fire prediction on cluster systems applying evolutionary optimization techniques
JO  - Future generation computer systems
A1  - Abdalhaq, Baker
A1  - Cortés, Ana
A1  - Margalef, Tomàs
A1  - Luque, Emilio
SP  - 61
EP  - 67
VL  - 21
IS  - 1
N2  - 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.<p /> <p>Language: en</p>
LA  - en
SN  - 0167-739X
UR  - http://dx.doi.org/10.1016/j.future.2004.09.013
ID  - ref1
ER  -