The fixed point theory of the"split-label-split"idea is introduced into the genetic algorithms to solve genetic efficiency,locking the optimal solution looking for completely labeled simplexes,finding their internal completely labeled simplexes in the resubdivision of simplexes in the previous step make the optimal solution regions further reduced.Genetic Algorithms randomly select points in the completely labeled simplexes as the initial group in the relative size of the fitness,which greatly improved the efficiency of genetic algorithm.Genetic variation occurred in completely labeled simplexes or near them,which makes the precision of the optimal solution greatly improved.