Affiliations: [a] Department of Electrical, Computer and Biomedical Engineering, University of Pavia, Pavia, Italy | [b] Department of Industrial Engineering, University of Padova, Padova, Italy
Correspondence:
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Corresponding author: Elisabetta Sieni, Department of Industrial Engineering, University of Padova, Via Gradenigo 6/A, 35131 Padova, Italy. Tel.: +39 049 8277514; Fax: +39 049 8277599; E-mail:[email protected]
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
