D'Ambrosio, Donato and Rongo, Rocco and Spataro, William and Trunfio, Giuseppe Andrea (2012) Meta-model assisted evolutionary optimization of cellular automata: an application to the SCIARA model. In: Parallel Processing and Applied Mathematics: 9th International Conference (PPAM 2011), 11-14 September 2011, Torun, Poland. Berlin - Heidelberg, Springer. p. 533-542. (Lecture notes in computer science, 7204/2012). ISSN 0302-9743. ISBN 978-3-642-31499-5. eISBN 978-3-642-31500-8. Conference or Workshop Item.
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The automatic optimization of Cellular Automata (CA) models often requires a large number of time-consuming simulations before an acceptable solution can be found. As a result, CA optimization processes may involve significant computational resources. In this paper we investigate the possibility of speeding up a CA calibration through the approach of meta-model assisted search, which is widely used in many fields. The adopted technique relies on inexpensive surrogate functions able to approximate the fitness corresponding to the CA simulations. The calibration exercise presented here refers to SCIARA, a CA for the simulation of lava flows. According to the preliminary results, the use of meta-models enables to achieve a significant gain in computational time.
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