%0 Journal Article %A LI Shuquan %A SUN Xue %A SUN Dehui %A BIAN Weipeng %T Summary of crossover operator of genetic algorithm %D 2012 %R %J Computer Engineering and Applications %P 36-39 %V 48 %N 1 %X Crossover is an important operator in genetic algorithm. This paper gives a brief introduction about some mature crossover operators, discusses some improved crossover operators from different aspects, such as the application of theory, mechanism and so on. Through the analysis, it is found that the improved crossover operators can overcome the shortcomings of the traditional genetic algorithm, improve search efficiency and accuracy and avoid premature convergence. This paper points out the crossover operators’ research direction, which makes the foundation for the development and application of genetic algorithms in the future.
%U http://cea.ceaj.org/EN/abstract/article_27495.shtml