A Method for Solving Many-Objective Optimization Problems in Magnetics
Paolo Di Barba, Maria Evelina Mognaschi, Sl§awomir Wiak · 2019 19th International Symposium on Electromagnetic Fields in Mechatronics, Electrical and Electronic Engineering (ISEF) · 2019
Many-objective problems, characterized by a high-dimensional objective space, are a source of challenges 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.