Fuzzy approach for multiobjective optimization in magnetics

The multiobjective optimization problem is of interest in almost all design problems. Fuzzy logic can be used in the definition of a decision making scheme for a compromise between conflicting objective functions. In the proposed approach a fuzzy ''global performance'' index of the design is defined. This parameter can be optimized by any scalar optimization algorithm. The fuzzyfication process, based on a set of linguistic rules defined by the user, is explained. Results obtained on multiobjective optimization problems, which show the good performance of the proposed approach, are presented and discussed.