This paper systematically covers the significant developments of the last decade, including
surrogate modeling of electrical machines and direct and stochastic search algorithms for …

We extend an uncertainty principle due to Beurling into a characterization of Hermite
functions. More precisely, all functions f on Rd which may be written as P (x) exp (−〈 Ax, x〉) …

Machine learning and artificial neural networks have shown to be applicable in modeling
and simulation of complex physical phenomena as well as creating surrogate models …

This paper presents a method for the optimal design of a slotless permanent magnet
brushless DC (BLDC) motor with surface mounted magnets using a genetic algorithm …

This paper shows the usefulness of response surface methodology (RSM) for optimal design
considering multiple responses. Moreover, full factorial design, one of the experimental …

Les travaux présentés dans ce mémoire portent sur l'application de la Méthode des Plans
d'Expériences (MPE) à l'étude et à l'optimisation de dispositifs électrotechniques. La …

In this paper, we used an adaptive multi-objective optimization to increase the efficiency and
decrease the torque ripple frequency of a BLDC motor by changing the dimensions of the …

This work is devoted to modelling the AC breakdown voltage in long oil point–plane gaps
with insulating barrier by design of experiments (DOE) method. The authors present an …

In this paper a novel design procedure based on the integration of full wave Finite Element
Analysis (FEA) and a topology design method employing Sequential Linear Programming …

The results of a durability test performed during 1000 h on a proton exchange or polymer
electrolyte membrane (PEM) fuel cell are analyzed using some well-suited design of …