A Dedicated Genetic Algorithm for Localization of Moving Magnetic Objects

A dedicated Genetic Algorithm (GA) has been developed to localize the trajectory of ferromagnetic moving objects within a bounded perimeter. Localization of moving ferromagnetic objects is an important tool because it can be employed in situations when the object is obscured. This work is innovative...

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Detalles Bibliográficos
Autores principales: Alimi, Roger, Weiss, Eyal, Ram-Cohen, Tsuriel, Geron, Nir, Yogev, Idan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2015
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4610581/
https://www.ncbi.nlm.nih.gov/pubmed/26393598
http://dx.doi.org/10.3390/s150923788
Descripción
Sumario:A dedicated Genetic Algorithm (GA) has been developed to localize the trajectory of ferromagnetic moving objects within a bounded perimeter. Localization of moving ferromagnetic objects is an important tool because it can be employed in situations when the object is obscured. This work is innovative for two main reasons: first, the GA has been tuned to provide an accurate and fast solution to the inverse magnetic field equations problem. Second, the algorithm has been successfully tested using real-life experimental data. Very accurate trajectory localization estimations were obtained over a wide range of scenarios.

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