Abstract
The control of fire spreading is a (research) challenge. The impact of the fire in the environment makes essential the study and analysis of fire spread with the goal of designing new tools that help to mitigate the wildfire expansion and, as a consequence, their effects. In this work we introduce a platform to deploy an algorithm, based on Ant Colony Optimization, to determine the best plan to attack fire focus. The framework is based on a theoretical model that allows us to represent the main elements of the environment in which fire evolves. The tool provides a visualisation component to model realistic landscapes.
Research partially supported by the Spanish MEC project DArDOS (TIN2015-65845-C3-1-R) and the Comunidad de Madrid project SICOMORo-CM (S2013/ICE-3006).
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Cañizares, P.C., Merayo, M.G., Núñez, A. (2017). Using Ants to Fight Wildfire. In: Rojas, I., Joya, G., Catala, A. (eds) Advances in Computational Intelligence. IWANN 2017. Lecture Notes in Computer Science(), vol 10306. Springer, Cham. https://doi.org/10.1007/978-3-319-59147-6_32
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DOI: https://doi.org/10.1007/978-3-319-59147-6_32
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