3-D Structural geological models: Concepts, methods, and uncertainties

F Wellmann, G Caumon - Advances in geophysics, 2018 - Elsevier
The Earth below ground is the subject of interest for many geophysical as well as geological
investigations. Even though most practitioners would agree that all available information …

Interactive evolutionary computation: Fusion of the capabilities of EC optimization and human evaluation

H Takagi - Proceedings of the IEEE, 2001 - ieeexplore.ieee.org
We survey the research on interactive evolutionary computation (IEC). The IEC is an EC that
optimizes systems based on subjective human evaluation. The definition and features of the …

On the uncertainties in hot spot reconstructions and the significance of moving hot spot reference frames

C O'Neill, D Müller, B Steinberger - Geochemistry, Geophysics …, 2005 - Wiley Online Library
It is widely accepted that substantial relative motion has occurred between the Indo‐Atlantic
and Pacific hot spots since the Late Cretaceous. At the same time, a fixed Indo‐Atlantic hot …

Reservoir permeability prediction by neural networks combined with hybrid genetic algorithm and particle swarm optimization

MA Ahmadi, S Zendehboudi, A Lohi, A Elkamel… - Geophysical …, 2013 - earthdoc.org
Reservoir characterization involves describing different reservoir properties quantitatively
using various techniques in spatial variability. Nevertheless, the entire reservoir cannot be …

Towards an integrated inversion of geoscientific data: What price of geology?

MW Jessell, L Ailleres, EA De Kemp - Tectonophysics, 2010 - Elsevier
The inversion of multiple geoscientific datasets to define structures in hard rock terrains has
for the most part been limited to geophysical methods supported by rock property …

The science of subjectivity

A Curtis - Geology, 2012 - pubs.geoscienceworld.org
96 GEOLOGY, January 2012 between groups of scientists. Group interactions might reduce
individual biases, such as anchoring and over-confidence (such biases have nevertheless …

Hybrid genetic algorithms in view of the evolution theories with application for the electrical sounding method

AT Başokur, I Akca, NWA Siyam - Geophysical Prospecting, 2007 - earthdoc.org
The classical genetic algorithm is a stochastic process which operates by natural selection.
Although the algorithm may localize a point around the global minimum of the misfit function …

Architecture of Proterozoic shear zones in the Christie Domain, western Gawler Craton, Australia: Geophysical appraisal of a poorly exposed orogenic terrane

NG Direen, AG Cadd, P Lyons, JP Teasdale - Precambrian Research, 2005 - Elsevier
Large-scale Mesoproterozoic crustal shear zones are partially exposed from beneath cover
sequences in the Christie Domain of the northwestern Gawler Craton, southern Australia …

MT2DInv-Unet: A 2D magnetotelluric inversion method based on deep-learning technology

K Pan, W Ling, J Zhang, X Zhong, Z Ren, S Hu, D He… - Geophysics, 2024 - library.seg.org
Traditional gradient-based inversion methods usually suffer from the problems of falling into
local minima and relying heavily on initial guesses. Deep-learning methods have received …

Applications of hybrid genetic algorithms in seismic tomography

P Soupios, I Akca, P Mpogiatzis, AT Basokur… - Journal of Applied …, 2011 - Elsevier
Almost all earth sciences inverse problems are nonlinear and involve a large number of
unknown parameters, making the application of analytical inversion methods quite …