Modelling macroscopic phenomena with cellular automata and parallel genetic algorithms: an application to lava flows

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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DOI: 10.1007/978-3-540-72584-8_114

Abstract

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.

Item Type:	Conference or Workshop Item (Paper)
ID Code:	2610
Status:	Published
Uncontrolled Keywords:	Modelling and simulation, cellular automata, lava flows
Subjects:	Area 09 - Ingegneria industriale e dell'informazione > ING-INF/05 Sistemi di elaborazione delle informazioni
Divisions:	001 Università di Sassari > 01 Dipartimenti > Architettura e pianificazione
Publisher:	Springer
ISBN:	978-3-540-72583-1
Deposited On:	18 Aug 2009 10:08

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