A Method for Solving Many-Objective Optimization Problems in Magnetics

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.