Title :
Fuzzy approach for multiobjective optimization in magnetics
Author :
Chiampi, M. ; Ragusa, C. ; Repetto, M.
Author_Institution :
Dipartimento di Ingegneria Elettrica Ind., Politecnico di Torino, Italy
fDate :
5/1/1996 12:00:00 AM
Abstract :
The multiobjective optimization problem is of interest in almost all EM 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. The problems discussed are the design of DC electromagnets and superconducting magnetic energy storage devices
Keywords :
CAD; computational linguistics; decision theory; design engineering; electrical engineering computing; electromagnets; fuzzy logic; optimisation; superconducting magnet energy storage; DC electromagnets; EM design problems; conflicting objective functions; decision making scheme; fuzzy logic; fuzzyfication process; global performance index; linguistic rules; magnetics; multiobjective optimization; scalar optimization algorithm; superconducting magnetic energy storage devices; Algorithm design and analysis; Constraint optimization; Decision making; Design optimization; Electromagnets; Fuzzy logic; Fuzzy sets; Magnetics; Performance analysis; Robustness; Superconducting magnetic energy storage; Testing;
Journal_Title :
Magnetics, IEEE Transactions on
