Evaluating Cellular Automata Models by Evolutionary Multiobjective Calibration

Authors:
Maria Vittoria Avolio;Donato D'Ambrosio;Salvatore Gregorio;Valeria Lupiano;Rocco Rongo;William Spataro;Giuseppe A. Trunfio
Affiliations:
Department of Earth Sciences, University of Calabria, Rende (CS), Italy 87036;Department of Mathematics, University of Calabria, Rende (CS), Italy 87036;Department of Mathematics, University of Calabria, Rende (CS), Italy 87036;Department of Earth Sciences, University of Calabria, Rende (CS), Italy 87036;Department of Earth Sciences, University of Calabria, Rende (CS), Italy 87036;Department of Mathematics, University of Calabria, Rende (CS), Italy 87036;DAP, University of Sassari, Alghero (SS), Italy 07041
Venue:
ACRI '08 Proceedings of the 8th international conference on Cellular Automata for Reseach and Industry
Year:
2008

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Abstract

This paper proposes a multi-objective approach for Cellular Automata (CA) calibration. The method exploits the available temporal sequences of spatial data in order to produce CAs which are non-dominated (i.e. Pareto optimal) with respect to multiple objectives representing the disagreement between the simulated and real dynamics. A preliminary application, based on a parallel multi-objective Genetic Algorithm, showed that the proposed approach can provide significant insights about potentialities and limits of a CA model.