Open AccessGenetic algorithms and smoothing filters in solving the geophysical inversion problem
Author(s) -
Vesna Šešum,
D.V. Tošić
Publication year - 2002
Publication title -
yugoslav journal of operations research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.221
H-Index - 21
eISSN - 1820-743X
pISSN - 0354-0243
DOI - 10.2298/yjor0202215s
Subject(s) - smoothing , inversion (geology) , algorithm , genetic algorithm , computer science , geophysics , inverse problem , mathematical optimization , mathematics , geology , machine learning , seismology , mathematical analysis , computer vision , tectonics
The combination of genetic algorithms, smoothing filters and geophysical tomography is used in solving the geophysical inversion problem. This hybrid technique is developed to improve the results obtained by using genetic algorithm sonly. The application of smoothing filters can improve the performance of GA implementation for solving the geophysical inversion problem. Some test-examples and the obtained comparative results are presented
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