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Application of the genetic algorithm to residual statics estimation

Publication ,  Journal Article
Wilson, WG; Vasudevan, K
Published in: Geophysical Research Letters
January 1, 1991

We present an application of a genetics‐based optimization algorithm in an attempt to compute residual statics in seismic data processing. Genetic algorithms have a long history, but have only recently been applied to complex optimization problems. In this paper, optimization results are shown for a synthetic data set to test whether the genetic algorithm can obtain the correct qualitative and/or quantitative features. Copyright 1991 by the American Geophysical Union.

Duke Scholars

Published In

Geophysical Research Letters

DOI

EISSN

1944-8007

ISSN

0094-8276

Publication Date

January 1, 1991

Volume

18

Issue

12

Start / End Page

2181 / 2184

Related Subject Headings

  • Meteorology & Atmospheric Sciences
 

Citation

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Wilson, W. G., & Vasudevan, K. (1991). Application of the genetic algorithm to residual statics estimation. Geophysical Research Letters, 18(12), 2181–2184. https://doi.org/10.1029/91GL02537
Wilson, W. G., and K. Vasudevan. “Application of the genetic algorithm to residual statics estimation.” Geophysical Research Letters 18, no. 12 (January 1, 1991): 2181–84. https://doi.org/10.1029/91GL02537.
Wilson WG, Vasudevan K. Application of the genetic algorithm to residual statics estimation. Geophysical Research Letters. 1991 Jan 1;18(12):2181–4.
Wilson, W. G., and K. Vasudevan. “Application of the genetic algorithm to residual statics estimation.” Geophysical Research Letters, vol. 18, no. 12, Jan. 1991, pp. 2181–84. Scopus, doi:10.1029/91GL02537.
Wilson WG, Vasudevan K. Application of the genetic algorithm to residual statics estimation. Geophysical Research Letters. 1991 Jan 1;18(12):2181–2184.
Journal cover image

Published In

Geophysical Research Letters

DOI

EISSN

1944-8007

ISSN

0094-8276

Publication Date

January 1, 1991

Volume

18

Issue

12

Start / End Page

2181 / 2184

Related Subject Headings

  • Meteorology & Atmospheric Sciences