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Gravity inversion of a fault by Particle swarm optimization (PSO)

Particle swarm optimization is a heuristic global optimization method and also an optimization algorithm, which is based on swarm intelligence. It comes from the research on the bird and fish flock movement behavior. In this paper we introduce and use this method in gravity inverse problem. We discu...

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Detalles Bibliográficos
Autor principal: Toushmalani, Reza
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3724977/
https://www.ncbi.nlm.nih.gov/pubmed/23961391
http://dx.doi.org/10.1186/2193-1801-2-315
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author Toushmalani, Reza
author_facet Toushmalani, Reza
author_sort Toushmalani, Reza
collection PubMed
description Particle swarm optimization is a heuristic global optimization method and also an optimization algorithm, which is based on swarm intelligence. It comes from the research on the bird and fish flock movement behavior. In this paper we introduce and use this method in gravity inverse problem. We discuss the solution for the inverse problem of determining the shape of a fault whose gravity anomaly is known. Application of the proposed algorithm to this problem has proven its capability to deal with difficult optimization problems. The technique proved to work efficiently when tested to a number of models. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/2193-1801-2-315) contains supplementary material, which is available to authorized users.
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spelling pubmed-37249772013-08-01 Gravity inversion of a fault by Particle swarm optimization (PSO) Toushmalani, Reza Springerplus Research Particle swarm optimization is a heuristic global optimization method and also an optimization algorithm, which is based on swarm intelligence. It comes from the research on the bird and fish flock movement behavior. In this paper we introduce and use this method in gravity inverse problem. We discuss the solution for the inverse problem of determining the shape of a fault whose gravity anomaly is known. Application of the proposed algorithm to this problem has proven its capability to deal with difficult optimization problems. The technique proved to work efficiently when tested to a number of models. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/2193-1801-2-315) contains supplementary material, which is available to authorized users. Springer International Publishing 2013-07-15 /pmc/articles/PMC3724977/ /pubmed/23961391 http://dx.doi.org/10.1186/2193-1801-2-315 Text en © Toushmalani; licensee Springer. 2013 This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
Toushmalani, Reza
Gravity inversion of a fault by Particle swarm optimization (PSO)
title Gravity inversion of a fault by Particle swarm optimization (PSO)
title_full Gravity inversion of a fault by Particle swarm optimization (PSO)
title_fullStr Gravity inversion of a fault by Particle swarm optimization (PSO)
title_full_unstemmed Gravity inversion of a fault by Particle swarm optimization (PSO)
title_short Gravity inversion of a fault by Particle swarm optimization (PSO)
title_sort gravity inversion of a fault by particle swarm optimization (pso)
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3724977/
https://www.ncbi.nlm.nih.gov/pubmed/23961391
http://dx.doi.org/10.1186/2193-1801-2-315
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