Dj. Sim et al., APPLICATION OF VECTOR OPTIMIZATION EMPLOYING MODIFIED GENETIC ALGORITHM TO PERMANENT-MAGNET MOTOR DESIGN, IEEE transactions on magnetics, 33(2), 1997, pp. 1888-1891
This paper presents a method to solve the vector optimization problem
that determines both the noninferior solution set and the best comprom
ise solution employing a modified genetic algorithm. The algorithm dif
fers from the conventional one in the definition of fitness value and
convergence criterion. Some parameters of the algorithm are adjusted t
o the vector optimization. The algorithm also contains the additional
routine for searching the best compromise solution. This method is app
lied to the optimal design of the Permanent Magnet Synchronous Motor f
or which two objective functions regarding motor efficiency and weight
are used.