Avolio, Maria Vittoria and D'Ambrosio, Donato and Di Gregorio, Salvatore and Rongo, Rocco and Spataro, William and Trunfio, Giuseppe Andrea (2007) Modelling macroscopic phenomena with cellular automata and parallel genetic algorithms: an application to lava flows. In: Computational science: 7th International conference, ICCS 2007: proceedings, Part I, May 27-30, 2007, Beijing, China. New York, Springer. p. 866-873. (Lecture notes in computer science, 4487/2007). ISBN 978-3-540-72583-1. Conference or Workshop Item.
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Forecasting through simulations the shape of lava invasions in a real topography represents a challenging problem, especially considering that the phenomenon usually evolves for a long time (e.g. from a few to hundreds of days) and on very large areas. In the latest years, Cellular Automata (CA) have been well recognized as a valid computational approach in lava flow modelling. In this paper we present some significant developments of SCIARA, a family of deterministic CA models of lava flows which are optimized for a specific scenario through the use of a parallel genetic algorithm. Following a calibration-validation approach, the model outcomes are compared with three real events of lava effusion.
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