A hybrid method for geological and geophysical data with multi-peak distributions using the PSO-GRG algorithm

To allow peak searching and parameter estimation for geological and geophysical data with multi-peak distributions, we explore a hybrid method based on a combination of the particle swarm optimization (PSO) and generalized reduced gradient (GRG) algorithms. After characterizing peaks using the addit...

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Veröffentlicht in:	Journal of geophysics and engineering Jg. 12; H. 3; S. 283 - 291
Hauptverfasser:	Ge, Xinmin, Fan, Yiren, Cao, Yingchang, Wang, Yang, Cong, Yunhai, Liu, Lailei
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London IOP Publishing 01.06.2015 Oxford University Press
Schlagworte:	Algorithms backscattering electron image Convergence geological and geophysical data Geology Geophysics global convergence multi-peak distribution Nonlinearity Objective function PSO-GRG Sandstone Searching Simulated annealing Swarm intelligence geological and geophysical data multi-peak distribution backscattering electron image global convergence PSO–GRG
ISSN:	1742-2132, 1742-2140
Online-Zugang:	Volltext
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