Enhancing wildland fire prediction on cluster systems applying evolutionary optimization techniques

Baker Abdalhaq, Ana Cortés, Tomàs Margalef, Emilio Luque

    Research output: Contribution to journalArticleResearchpeer-review

    30 Citations (Scopus)

    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. © 2004 Published by Elsevier B.V.
    Original languageEnglish
    Pages (from-to)61-67
    JournalFuture Generation Computer Systems
    Volume21
    DOIs
    Publication statusPublished - 1 Jan 2005

    Keywords

    • Cluster computing
    • Fire prediction
    • Optimization convergence

    Fingerprint Dive into the research topics of 'Enhancing wildland fire prediction on cluster systems applying evolutionary optimization techniques'. Together they form a unique fingerprint.

    Cite this