Magneto-Fluid Hyperthermia (MFH) is a clinical treatment of cancer that exploits a magnetic nano-fluid to heat pathological tissues by means of a time-harmonics magnetic field: nanoparticles injected in cells cultured in a Petri dish are subject to the external field and heat. The optimal design of an inductor has been developed by resorting to a migration-assisted NSGA (M-NSGA) strategy. M-NSGA results are compared with the ones obtained using NSGA-II and two others modified NSGA algorithms. One version of NSGA includes a Design Of Experiment (DOE) step that generates a set of individuals which will be included in the initial population. The primary goal is to identify the inductor geometry generating a uniform magnetic field inside the Petri dish that contains the magnetic fluid. © 2016 - IOS Press and the authors. All rights reserved.

Optimal design of inductors for magneticfluid hyperthermia by means of migrationassisted NSGA

Forzan Michele;Sieni Elisabetta
2016-01-01

Abstract

Magneto-Fluid Hyperthermia (MFH) is a clinical treatment of cancer that exploits a magnetic nano-fluid to heat pathological tissues by means of a time-harmonics magnetic field: nanoparticles injected in cells cultured in a Petri dish are subject to the external field and heat. The optimal design of an inductor has been developed by resorting to a migration-assisted NSGA (M-NSGA) strategy. M-NSGA results are compared with the ones obtained using NSGA-II and two others modified NSGA algorithms. One version of NSGA includes a Design Of Experiment (DOE) step that generates a set of individuals which will be included in the initial population. The primary goal is to identify the inductor geometry generating a uniform magnetic field inside the Petri dish that contains the magnetic fluid. © 2016 - IOS Press and the authors. All rights reserved.
2016
http://www.iospress.nl/
Finite Element Analysis; Magneto-Fluid-Hyperthermia; Multi-objective optimization; Pareto front; Electronic; Optical and Magnetic Materials; Condensed Matter Physics; Mechanics of Materials; Mechanical Engineering; Electrical and Electronic Engineering
Di Barba, Paolo; Dughiero, Fabrizio; Forzan, Michele; Sieni, Elisabetta
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11383/2077278
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