A non-differential method for solving many-objective optimization problems: An application in IPM motor design

Issue title: Selected papers from the International Symposium on Electromagnetic Fields in Mechatronics, Electrical and Electronic Engineering ISEF 2019

Guest editors: Paolo Di Barba, Maria Evelina Mognaschi and Sławomir Wiak

Article type: Research Article

Authors: Di Barba, Paolo^a | Mognaschi, Maria Evelina^a; | Wiak, Slawomir^b

Affiliations: [a] Department of Electrical, Computer and Biomedical Engineering, University of Pavia, Pavia, Italy | [b] Institute of Mechatronics and Information Systems, Lodz University of Technology, Łódź, Poland

Correspondence: [*] Corresponding author: Maria Evelina Mognaschi, Department of Electrical, Computer and Biomedical Engineering, University of Pavia, via Ferrata 5, 27100 Pavia, Italy. Tel.: +39 0382985785; Fax: +39 0382422583; E-mail: [email protected]

Abstract: Many-objective problems, characterized by a high-dimensional objective space, are a source of challenge for standard methods of multi-objective optimization. An evolutionary algorithm based on the concept of least-conflict solutions is here presented; the shape design of a IPM motor is considered as the case study. In particular, optimization problems dealing with 3 and 4 objective functions have been solved, respectively.

Keywords: Many-objective optimization, evolutionary computing, finite-element analysis, inverse magnetostatics, permanent-magnet motor

DOI: 10.3233/JAE-209510

Journal: International Journal of Applied Electromagnetics and Mechanics, vol. 64, no. S1, pp. S131-S142, 2020