The bio-inspired algorithms are novel, modern, and efficient tools for the design of electrical
machines. However, from the mathematical point of view, these problems belong to the most …

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

Multi-objective optimization algorithms are becoming ever more popular in the field of
electrical machine design as they provide engineers with an automated way of efficiently …

This paper presents a method for reducing computational time in constrained single
objective optimization problems related to permanent magnet motors modeled using …

This paper deals with accelerating typical optimization scenarios for electrical machine
designs. Besides the advantage of a reduced computation time, this leads to a reduction in …

Tolerance analysis is crucial in every manufacturing process, such as electrical machine
design, because tight tolerances lead to high manufacturing costs. A FEM-based solution of …

This paper investigates the impact of tolerances related to permanent magnets on the
cogging torque performance of Permanent magnet synchronous machines (PMSMs). These …

Determining the stator slot design parameters of the alternator has a great importance to
provide the desired magnetic flux distribution for a permanent magnet generator (PMG). The …

In this article, an exhaustive comparison is presented between two types of model order
reduction methods, namely the proper orthogonal decomposition (POD) and the orthogonal …

The optimization of the design of a practical electromagnetic device involves many
challenging tasks for new algorithms, especially those involving numerical modeling codes …