An Artificial Immune Algorithm and its Application in AVO Inversion

Hai Yan Zhang; Zi Li Liu

doi:10.4028/www.scientific.net/AMM.268-270.1779

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 268-270An Artificial Immune Algorithm and its Application...

An Artificial Immune Algorithm and its Application in AVO Inversion

Abstract:

An improved artificial immune algorithm is proposed for geophysical P-wave amplitude variation with offset (AVO) inversion. In this paper, the algorithm is described and implemented. The orthogonal crossover is used to generate the initial population and the elitist-crossover is adopted to add the good patterns of the population. The hybrid mutation method is presented to increase the ability of local and global optimization. The improved immune algorithm is then applied to earth interface models of Mexican gulf for AVO inversion. The experimental results show that the improved algorithm is of high precision than the traditional immune algorithm.

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Periodical:

Applied Mechanics and Materials (Volumes 268-270)

Pages:

1779-1782

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.268-270.1779

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Online since:

December 2012

Authors:

Hai Yan Zhang, Zi Li Liu

Keywords:

AVO Inversion, Elitist Crossover, Immune Algorithm, Orthogonal Crossover

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References

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