Earthquake source parameter determination using genetic algorithms

Details Earthquake source parameter determination using genetic algorithms Earthquake source parameter determination using genetic algorithms

Feb 1995

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1995georl..22..517z&link_type=abstract

Geophysical Research Letters (ISSN 0094-8276), vol. 22, no. 4, p. 517-520

Physics

4

Earthquakes, Genetic Algorithms, Parameter Identification, Seismology, India, Mathematical Models, Nepal, Optimization, P Waves, Rayleigh Waves, S Waves, Waveforms

Scientific paper

Determination of earthquake source parameters is a non-linear and multi-dimensional problem in which trade-off problems between the parameters can be significant and complicated. Accordingly global optimization is desirable to find the best fit parameters in a large model parameter space. We apply Genetic Algorithms (GA) to search for optimal source parameters in a multiparameter space. Results show that the GA method can rapidly explore a large multiparameter model space and find optimal solutions for the source parameters with a relatively small number of function evaluations. Results with the data of the 1988 Nepal-India border earthquake indicate that GA determined source parameters better explain the observed waveforms.

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