@ARTICLE{Knypiński_Łukasz_Constrained_2022, author={Knypiński, Łukasz and Devarapalli, Ramesh and Le Menach, Yvonnick}, volume={vol. 71}, number={No 3}, journal={Archives of Electrical Engineering}, pages={775-787}, howpublished={online}, year={2022}, publisher={Polish Academy of Sciences}, abstract={This paper presents an algorithm and optimization procedure for the optimization of the outer rotor structure of the brushless DC (BLDC) motor. The optimization software was developed in the Delphi Tiburón development environment. The optimization procedure is based on the salp swarm algorithm. The effectiveness of the developed optimization procedurewas compared with genetic algorithm and particle swarmoptimization algorithm. The mathematical model of the device includes the electromagnetic field equations taking into account the non-linearity of the ferromagnetic material, equations of external supply circuits and equations of mechanical motion. The external penalty function was introduced into the optimization algorithm to take into account the non-linear constraint function.}, type={Article}, title={Constrained optimization of the brushless DC motor using the salp swarm algorithm}, URL={http://czasopisma.pan.pl/Content/124107/PDF/art15_i.pdf}, doi={10.24425/aee.2022.141684}, keywords={brushless DC motor, constrained optimization, finite element analysis, Salp Swarm Algorithm}, }