In interactive genetic algorithms with a large population
the increase of evaluated individual aggravates user fatigue
which restricts the applications of these algorithms.In this study
a method of selecting individuals using the elite set was presented.The elite set is first formed based on individuals with high user's evaluations;and then
individual categories similar with the elite set are selected to perform genetic operations with neither user's evaluations nor fitness estimations;finally
the elite set is updated according to evolutionary stages and individuals' contributions to the elite set.The proposed algorithm was applied to a curtain evolutionary design system
and compared with existing typical ones.The experimental results confirmed that the proposed algorithm has advantages in alleviating user fatigue while improving its efficiency in exploration.