%0 Journal Article %A WEN Shi-hua %A ZHENG Jin-hua %T Improved diversity maintenance strategy in NSGA-II %D 2010 %R 10.3778/j.issn.1002-8331.2010.33.014 %J Computer Engineering and Applications %P 49-53 %V 46 %N 33 %X NSGA-II is widely used in multi-objective evolutionary optimization for its high convergence and time efficiency.However,the population maintenance based on crowding distance in NSGA-II has not worked well in maintaining the diversity of solution sets.This paper proposes an improved strategy to dynamically maintain diversity by setting a self-adaptive threshold value,and the better diversity individuals have more chances to survive.Comparing new algorithm to NSGA-II and ε-MOEA in five test problems,the results show that improved algorithm efficiently promotes the diversity and achieves efficient convergence at the same time. %U http://cea.ceaj.org/EN/10.3778/j.issn.1002-8331.2010.33.014