ACRI 2004: Cellular Automata pp 725-734 | Cite as

An Evolutionary Approach for Modelling Lava Flows Through Cellular Automata

  • William Spataro
  • Donato D’Ambrosio
  • Rocco Rongo
  • Giuseppe A. Trunfio
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3305)

Abstract

A Master-Slave Genetic Algorithm is applied to evolve a two-dimensional Cellular Automata model for lava flow simulation. The 2002 Etnean Linguaglossa case study is considered for model calibration. A quantitative measure for the evaluation of the simulations result with respect to the real event is defined and employed as fitness function.

Keywords

Debris Flow Cellular Automaton Lava Flow Cellular Automaton Finite Automaton 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • William Spataro
    • 1
  • Donato D’Ambrosio
    • 1
  • Rocco Rongo
    • 2
  • Giuseppe A. Trunfio
    • 1
  1. 1.Department of Mathematics & High Performance Computing CenterUniversity of CalabriaArcavacata, Rende (CS)Italy
  2. 2.Department of Earth SciencesUniversity of CalabriaArcavacata, Rende (CS)Italy

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