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Application of the genetic algorithm to residual statics estimation
Author(s) -
Wilson William G.,
Vasudevan Kris
Publication year - 1991
Publication title -
geophysical research letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.007
H-Index - 273
eISSN - 1944-8007
pISSN - 0094-8276
DOI - 10.1029/91gl02537
Subject(s) - residual , statics , genetic algorithm , algorithm , meta optimization , computer science , set (abstract data type) , optimization algorithm , data set , mathematical optimization , optimization problem , mathematics , artificial intelligence , machine learning , physics , classical mechanics , programming language
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.