@ARTICLE{Caramia_R._Multiobjective_2014,
 author={Caramia, R. and Piotuch, R. and Pałka, R.},
 volume={vol. 63},
 number={No 1 March},
 journal={Archives of Electrical Engineering},
 pages={115-124},
 howpublished={online},
 year={2014},
 publisher={Polish Academy of Sciences},
 abstract={The paper presents a methodology for the optimization of a Brushless Direct Current motor (BLDC). In particular it is focused on multiobjective optimization using a genetic algorithm (GA) developed in Matlab/Optimization Toolbox coupled with Maxwell from ANSYS. Optimization process was divided into two steps. The aim of the first one was to maximize the RMS torque value and to minimize the mass. The second part of the optimization process was to minimize the cogging torque by selecting proper magnet angle. The paper presents the methodology and capabilities of scripting methods rather than specific optimization results for the applied geometry.},
 type={Artykuły / Articles},
 title={Multiobjective FEM based optimization of BLDC motor using Matlab and Maxwell scripting capabilities},
 URL={http://www.czasopisma.pan.pl/Content/84908/PDF/09_paper.pdf},
 doi={10.2478/aee-2014-0009},
 keywords={permanent magnets excited electrical machines, multiobjective optimization, Pareto Front},
}