Application of genetic algorithms to an inverse field problem in magnetic fluid dynamics

The purpose of the present work is to study whether genetic algorithms can solve an inverse field problem in magnetic fluid dynamics (MFD) efficiently. We have investigated how the interface between two fluids of different conductivity in a highly simplified model of an aluminum electrolysis cell ca...

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Main Authors:	Kuilekov Milko, Ziolkowski Marek, Brauer Hartmut
Format:	Article
Language:	English
Published:	Faculty of Technical Sciences in Cacak 2003-01-01
Series:	Serbian Journal of Electrical Engineering
Subjects:	genetic algorithm optimization simulations inverse solution interface reconstruction
Online Access:	http://www.doiserbia.nb.rs/img/doi/1451-4869/2003/1451-48690301001K.pdf

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spelling	doaj-581debba24924540b9e585dda7114f8d2020-11-25T00:28:10ZengFaculty of Technical Sciences in CacakSerbian Journal of Electrical Engineering1451-48692217-71832003-01-011111310.2298/SJEE0301001K1451-48690301001KApplication of genetic algorithms to an inverse field problem in magnetic fluid dynamicsKuilekov Milko0Ziolkowski Marek1Brauer Hartmut2Technische Universitaet Ilmenau, Ilmenau, GermanyTechical University of Szczecin, Szczecin, PolandTechnische Universitaet Ilmenau, Ilmenau, GermanyThe purpose of the present work is to study whether genetic algorithms can solve an inverse field problem in magnetic fluid dynamics (MFD) efficiently. We have investigated how the interface between two fluids of different conductivity in a highly simplified model of an aluminum electrolysis cell can be reconstructed by means of external magnetic field measurements. The knowledge of the interface deformation can be used to prevent undesired instabilities in aluminum reduction cells .http://www.doiserbia.nb.rs/img/doi/1451-4869/2003/1451-48690301001K.pdfgenetic algorithmoptimization simulationsinverse solutioninterface reconstruction
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	Kuilekov Milko Ziolkowski Marek Brauer Hartmut
spellingShingle	Kuilekov Milko Ziolkowski Marek Brauer Hartmut Application of genetic algorithms to an inverse field problem in magnetic fluid dynamics Serbian Journal of Electrical Engineering genetic algorithm optimization simulations inverse solution interface reconstruction
author_facet	Kuilekov Milko Ziolkowski Marek Brauer Hartmut
author_sort	Kuilekov Milko
title	Application of genetic algorithms to an inverse field problem in magnetic fluid dynamics
title_short	Application of genetic algorithms to an inverse field problem in magnetic fluid dynamics
title_full	Application of genetic algorithms to an inverse field problem in magnetic fluid dynamics
title_fullStr	Application of genetic algorithms to an inverse field problem in magnetic fluid dynamics
title_full_unstemmed	Application of genetic algorithms to an inverse field problem in magnetic fluid dynamics
title_sort	application of genetic algorithms to an inverse field problem in magnetic fluid dynamics
publisher	Faculty of Technical Sciences in Cacak
series	Serbian Journal of Electrical Engineering
issn	1451-4869 2217-7183
publishDate	2003-01-01
description	The purpose of the present work is to study whether genetic algorithms can solve an inverse field problem in magnetic fluid dynamics (MFD) efficiently. We have investigated how the interface between two fluids of different conductivity in a highly simplified model of an aluminum electrolysis cell can be reconstructed by means of external magnetic field measurements. The knowledge of the interface deformation can be used to prevent undesired instabilities in aluminum reduction cells .
topic	genetic algorithm optimization simulations inverse solution interface reconstruction
url	http://www.doiserbia.nb.rs/img/doi/1451-4869/2003/1451-48690301001K.pdf
work_keys_str_mv	AT kuilekovmilko applicationofgeneticalgorithmstoaninversefieldprobleminmagneticfluiddynamics AT ziolkowskimarek applicationofgeneticalgorithmstoaninversefieldprobleminmagneticfluiddynamics AT brauerhartmut applicationofgeneticalgorithmstoaninversefieldprobleminmagneticfluiddynamics
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Application of genetic algorithms to an inverse field problem in magnetic fluid dynamics

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