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| Numerical tests for effects of various parameters in niching genetic algorithm applied to regional waveform inversion |
| Cong Li, Jianshe Lei |
| Key Laboratory of Crustal Dynamics, Institute of Crustal Dynamics, China Earthquake Administration, Beijing 100085, China |
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Abstract In this paper, we focus on the influences of various parameters in the niching genetic algorithm inversion procedure on the results, such as various objective functions, the number of the models in each subpopulation, and the critical separation radius. The frequency– waveform integration (F–K) method is applied to synthesize three-component waveform data with noise in various epicentral distances and azimuths. Our results show that if we use a zero-th-lag cross-correlation function, then we will obtain the model with a faster convergence and a higher precision than other objective functions. The number of models in each subpopulation has a great influence on the rate of convergence and computation time, suggesting that it should be obtained through tests in practical problems. The critical separation radius should be determined carefully because it directly affects the multiextreme values in the inversion. We also compare the inverted results from full-band waveform data and surfacewave frequency-band (0.02–0.1 Hz) data, and find that the latter is relatively poorer but still has a higher precision, suggesting that surface-wave frequency-band data can also be used to invert for the crustal structure.
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Received: 13 May 2014
Published: 18 September 2014
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| Fund:the National Natural Science Foundation of China (Nos. 41274059, 40974021 and 40774044) and Beijing Natural Scientific Foundation (Nos. 8122039 and 8092028) to J. Lei |
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Corresponding Authors:
Jianshe Lei
E-mail: jshlei_cj@hotmail.com
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