A new hybrid optimization approach using PSO, Nelder-Mead Simplex and Kmeans clustering algorithms for 1D Full Waveform Inversion

The FWI is formulated as a nonlinear optimization problem that traditionally uses local (derivative-based) minimization to find the scalar field of properties that best represents the field seismic data. This problem has a high computational cost and accuracy limited to local minima, in addition to...

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Bibliographic Details
Published in:	PloS one Vol. 17; no. 12; p. e0277900
Main Authors:	Aguiar Nascimento, Rutinaldo, Neto, Álvaro Barroca, Bezerra, Yuri Shalom de Freitas, do Nascimento, Hugo Alexandre Dantas, Lucena, Liacir dos Santos, de Freitas, Joaquim Elias
Format:	Journal Article
Language:	English
Published:	United States Public Library of Science 14.12.2022 Public Library of Science (PLoS)
Subjects:	Algorithms Analysis Benchmarking Chromosome Inversion Cluster Analysis Clustering Computational efficiency Computer applications Computing costs Convergence Design engineering Evaluation Exploitation Humans Information management Mathematical optimization Optimization Optimization algorithms Optimization techniques Physical Sciences Research and Analysis Methods Robustness (mathematics) Scalars Seismic tomography Seismological data Two phase Waveforms Brazil
ISSN:	1932-6203, 1932-6203
Online Access:	Get full text
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