FUZZY APPROACH FOR MULTIOBJECTIVE OPTIMIZATION IN MAGNETICS

The multiobjective optimization problem is of interest in almost all d esign problems. Fuzzy logic can be used in the definition of a decisio n making scheme for a compromise between conflicting objective functio ns. In the proposed approach a fuzzy ''global performance'' index of t he design is defined. This parameter can be optimized by any scalar op timization algorithm. The fuzzyfication process, based on a set of lin guistic rules defined by the user, is explained. Results obtained on m ultiobjective optimization problems, which show the good performance o f the proposed approach, are presented and discussed.