Earthquake source parameter determination using genetic algorithms

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Abstract
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.