关键词: 多目标优化, 多目标进化算法, 变异算子, 收敛性, 非支配解集

Abstract: This paper proposes a mutation over-flow dealing method to fit for the environment of MOEAs，and applies these operators successfully to multi-objective optimization problems.Then it compares these operators’ performance through its convergence quality，and it demonstrates that this over-flow dealing method is effective through a group of experiments，the mutation operators used in single-objective optimization have the respectable distribution to polynomial mutation and achieve better convergence quality.

Key words: multi-objective optimization, Multi-Objective Evolutionary Algorithm（MOEA）, mutation operators, convergence quality, non-dominated solution sets