COMPARISON INVERSION PARTICLE SWARM OPTIMIZATION (PSO) AND INVERSION LINEAR DAMPED ON GEOMAGNETIC METHOD

Modeling is one of the main methods used for the interpretation of physics. The method used is a literature review of the material relating to the method of geomagnetic and damped linear inversion and inversion discussion on the global approach, namely Particle Swarm Optimization (PSO). The paramete...

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Main Author: SAID (NIM: 10212053), UMAR
Format: Final Project
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/24594
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Institution: Institut Teknologi Bandung
Language: Indonesia
id id-itb.:24594
spelling id-itb.:245942017-09-27T11:45:20ZCOMPARISON INVERSION PARTICLE SWARM OPTIMIZATION (PSO) AND INVERSION LINEAR DAMPED ON GEOMAGNETIC METHOD SAID (NIM: 10212053), UMAR Indonesia Final Project INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/24594 Modeling is one of the main methods used for the interpretation of physics. The method used is a literature review of the material relating to the method of geomagnetic and damped linear inversion and inversion discussion on the global approach, namely Particle Swarm Optimization (PSO). The parameters will be inverted magnetization is the value that will be used to obtain information susceptibilities. The modeled geometry is modeled anomalies to the geometry of horizontal crustal block continou. In this final project will be the inversion method Particle Swarm Optimization (PSO). The purpose of this study is the comparison of the accuracy of the linear inversion method muffled and PSO. The results obtained in this study is the linear attenuation inversion lambda (λ) between 1E-08 to 1E-14 pretty well in determining subsurface model solutions, especially on the data without noise. For the variation of the N / S ratio is great at providing solutions inversion compared with the N / S ratio is small, in this case the value of N / S was minimal 1.25E-02. PSO inversion results for both are used in the data without or with the addition of noise as it is a global approach, the amount of particles required is 40 - 250 with iterations between 100 - 200, to the value of inertia weight (w, linear inertia weight and inertia constant weight) and speed coefficient (c1 and c2) are respectively 0.4 - 0.9 and 0.3 - 1.4986 with c2 is larger than c1. text
institution Institut Teknologi Bandung
building Institut Teknologi Bandung Library
continent Asia
country Indonesia
Indonesia
content_provider Institut Teknologi Bandung
collection Digital ITB
language Indonesia
description Modeling is one of the main methods used for the interpretation of physics. The method used is a literature review of the material relating to the method of geomagnetic and damped linear inversion and inversion discussion on the global approach, namely Particle Swarm Optimization (PSO). The parameters will be inverted magnetization is the value that will be used to obtain information susceptibilities. The modeled geometry is modeled anomalies to the geometry of horizontal crustal block continou. In this final project will be the inversion method Particle Swarm Optimization (PSO). The purpose of this study is the comparison of the accuracy of the linear inversion method muffled and PSO. The results obtained in this study is the linear attenuation inversion lambda (λ) between 1E-08 to 1E-14 pretty well in determining subsurface model solutions, especially on the data without noise. For the variation of the N / S ratio is great at providing solutions inversion compared with the N / S ratio is small, in this case the value of N / S was minimal 1.25E-02. PSO inversion results for both are used in the data without or with the addition of noise as it is a global approach, the amount of particles required is 40 - 250 with iterations between 100 - 200, to the value of inertia weight (w, linear inertia weight and inertia constant weight) and speed coefficient (c1 and c2) are respectively 0.4 - 0.9 and 0.3 - 1.4986 with c2 is larger than c1.
format Final Project
author SAID (NIM: 10212053), UMAR
spellingShingle SAID (NIM: 10212053), UMAR
COMPARISON INVERSION PARTICLE SWARM OPTIMIZATION (PSO) AND INVERSION LINEAR DAMPED ON GEOMAGNETIC METHOD
author_facet SAID (NIM: 10212053), UMAR
author_sort SAID (NIM: 10212053), UMAR
title COMPARISON INVERSION PARTICLE SWARM OPTIMIZATION (PSO) AND INVERSION LINEAR DAMPED ON GEOMAGNETIC METHOD
title_short COMPARISON INVERSION PARTICLE SWARM OPTIMIZATION (PSO) AND INVERSION LINEAR DAMPED ON GEOMAGNETIC METHOD
title_full COMPARISON INVERSION PARTICLE SWARM OPTIMIZATION (PSO) AND INVERSION LINEAR DAMPED ON GEOMAGNETIC METHOD
title_fullStr COMPARISON INVERSION PARTICLE SWARM OPTIMIZATION (PSO) AND INVERSION LINEAR DAMPED ON GEOMAGNETIC METHOD
title_full_unstemmed COMPARISON INVERSION PARTICLE SWARM OPTIMIZATION (PSO) AND INVERSION LINEAR DAMPED ON GEOMAGNETIC METHOD
title_sort comparison inversion particle swarm optimization (pso) and inversion linear damped on geomagnetic method
url https://digilib.itb.ac.id/gdl/view/24594
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