Memorias de investigación
Artículos en revistas:
Particle Swarm Optimization and Uncertainty Assessment in Inverse Problems
Año:2018
Áreas de investigación
  • Física química y matemáticas
Datos
Descripción
Most inverse problems in the industry (and particularly in geophysical exploration) are highly underdetermined because the number of model parameters too high to achieve accurate data predictions and because the sampling of the data space is scarce and incomplete; it is always affected by different kinds of noise. Additionally, the physics of the forward problem is a simplification of the reality. All these facts result in that the inverse problem solution is not unique; that is, there are different inverse solutions (called equivalent), compatible with the prior information that fits the observed data within similar error bounds. In the case of nonlinear inverse problems, these equivalent models are located in disconnected flat curvilinear valleys of the cost-function topography. The uncertainty analysis consists of obtaining a representation of this complex topography via different sampling methodologies. In this paper, we focus on the use of a particle swarm optimization (PSO) algorithm to sample the region of equivalence in nonlinear inverse problems. Although this methodology has a general purpose, we show its application for the uncertainty assessment of the solution of a geophysical problem concerning gravity inversion in sedimentary basins, showing that it is possible to efficiently perform this task in a sampling-while-optimizing mode. Particularly, we explain how to use and analyze the geophysical models sampled by exploratory PSO family members to infer different descriptors of nonlinear uncertainty.
Internacional
Si
JCR del ISI
Si
Título de la revista
Entropy
ISSN
1099-4300
Factor de impacto JCR
1,743
Información de impacto
Datos JCR del año 2015
Volumen
20
DOI
10.3390/e20020096
Número de revista
2
Desde la página
96
Hasta la página
110
Mes
ENERO
Ranking
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: Jose Luis Garcia Pallero UPM
  • Autor: María Zulima Fernández-Muñiz Universidad de Oviedo
  • Autor: Ana Cernea Universidad de Oviedo
  • Autor: Óscar Álvarez-Machancoses Universidad de Oviedo
  • Autor: Luis Mariano Pedruelo-González Universidad de Oviedo
  • Autor: Sylvain Bonvalot Laboratoire GET-BGI
  • Autor: Juan Luis Fernández-Martínez Universidad de Oviedo
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Departamento: Ingeniería Topográfica y Cartografía