title: A Dedicated Genetic Algorithm for Localization of Moving Magnetic Objects.
abstract: 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.
authors.affiliation: Applied Physics Division, Soreq NRC, Yavneh 81800, Israel. roger@soreq.gov.il.
authors.forename: Roger
authors.initials: R
authors.lastname: Alimi
authors.affiliation: Applied Physics Division, Soreq NRC, Yavneh 81800, Israel. eyal_we@soreq.gov.il.
authors.forename: Eyal
authors.initials: E
authors.lastname: Weiss
authors.affiliation: Applied Physics Division, Soreq NRC, Yavneh 81800, Israel. tsuriel@soreq.gov.il.
authors.forename: Tsuriel
authors.initials: T
authors.lastname: Ram-Cohen
authors.affiliation: Applied Physics Division, Soreq NRC, Yavneh 81800, Israel. nirg@soreq.gov.il.
authors.forename: Nir
authors.initials: N
authors.lastname: Geron
authors.affiliation: Applied Physics Division, Soreq NRC, Yavneh 81800, Israel. idan_yogev@amat.com.
authors.forename: Idan
authors.initials: I
authors.lastname: Yogev
keywords: genetic algorithms; magnetic dipoles; magnetic sensors; tracking problems