Comparison and research of mutation operators in multi-objective evolu-tionary algorithms
Miqing Li · Computer Engineering and Applications Journal · 2009
This paper proposes a mutation over-flow dealing method to fit for the environment of MOEAs,and applies these op-erators successfully to multi-objective optimization problems.Then it compares these operators'performance through its conver-gence 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 con-vergence quality.