Abstract: This paper proposes an interactive evolutionary optimization algorithm combined with kansei engineering by NSCA-II. The population index balance was calculated within each generation. The population was divided into explicit and implicit index optimize population which optimized corresponding index respectively. At the same time, synthetic aesthetic was evaluated by decision variables while the individuals with advantage of synthetic aesthetic were migrated to implicit index population. The explicit and implicit index of optimize population were merged to obtain Pareto solutions. The computational results show the efficiency of the proposed algorithm compared with other heuristics.