Parametric optimisation in a 2-D cellular automata model of fundamental seismic attributes with the use of genetic algorithms |
| |
Authors: | IG GeorgoudasGCh Sirakoulis EM ScordilisI Andreadis |
| |
Affiliation: | a Democritus University of Thrace, Department of Electrical and Computer Engineering, Laboratory of Electronics, GR-671 00 Xanthi, Greece b Department of Geophysics, School of Geology, Aristotle University, GR-541 24 Thessaloniki, Greece |
| |
Abstract: | A two-dimensional (2-D) cellular automata (CA) dynamic system constituted of cells-charges has been proposed for the simulation of the earthquake process. In this paper, the study is focused on the optimal parameterisation of the model introducing the use of genetic algorithm (GA). The optimisation of the CA model parameterisation, by applying a standard GA, extends its ability to study various hypotheses concerning the seismicity of the region under consideration. The GA evolves an initially random population of candidate solutions of model parameters, such that in time appropriate solutions to emerge. The quality criterion is realised by taking into account the extent that the simulation results match the Gutenberg-Richter (GR) law derived from recorded data of the area under test. The simulation results presented here regard regions of Greece with different seismic and geophysical characteristics. The results found are in good quantitative and qualitative agreement with the GR scaling relations. |
| |
Keywords: | Cellular automata Earthquake Modelling Genetic algorithms LC analogue Potential |
本文献已被 ScienceDirect 等数据库收录! |
|