In this paper particle swarm optimization (PSO) is used for a design optimization of a linear permanent magnet synchronous motor (LPMSM) considering ultra low thrust force ripples, low magnet consumption, improved efficiency and thrust. The influence of PM material is discussed, too and the modular poles are proposed to achieve the best characteristic. PM dimensions and material, air gap and mo...

We investigate a general optimization problem with linear objective in which the coefficients are uncertain and uncertainty is represented by belief function. consider five common criteria to compare solutions this setting: generalized Hurwicz, strong dominance, weak maximality E-admissibility. provide characterizations for non-dominated respect these when focal sets of function Cartesian produ...

Shapes do not define a linear space. This paper explores the structure of deformations as representation shapes. transforms shape optimization to variant optimal control. The numerical challenges this point view are highlighted and version second derivative is employed, leading particular algorithms Newton type.

Wasserstein balls, which contain all probability measures within a pre-specified distance to reference measure, have recently enjoyed wide popularity in the distributionally robust optimization and machine learning communities formulate solve data-driven problems with rigorous statistical guarantees. In this technical note we prove that ball is weakly compact under mild conditions, offer necess...