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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.

Keywords

Magneto-Fluid-Hyperthermia multi-objective optimization Pareto front Finite Element Analysis

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Optimal design of inductors for magnetic- fluid hyperthermia by means of migration- assisted NSGA

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