@ARTICLE{Di_Barba_Paolo_Field_2012,
 author={Di Barba, Paolo and Dughiero, Fabrizio and Sieni, Elisabetta},
 volume={vol. 61},
 number={No 1 March},
 journal={Archives of Electrical Engineering},
 pages={57-67},
 howpublished={online},
 year={2012},
 publisher={Polish Academy of Sciences},
 abstract={An automated procedure based on evolutionary computation and Finite Element Analysis (FEA) is proposed to synthesize the optimal distribution of nanoparticles (NPs) in multi-site injection for a Magnetic Fluid Hyperthermia (MFH) therapy. Evolution Strategy and Non dominated Sorting Genetic Algorithm (NSGA) are used as optimization procedures coupled with a Finite Element computation tool.},
 type={Artykuły / Articles},
 title={Field synthesis for the optimal treatment planning in Magnetic Fluid Hyperthermia},
 URL={http://journals.pan.pl/Content/84621/PDF/05_paper.pdf},
 doi={10.2478/v10171-012-0005-3},
 keywords={evolutionary algorithms, finite element analysis, magnatic fluid hyperthermia, optimal synthesis, coupled fields},
}