Abstract: Based on analyzing of evolution genetic algorithm (EGA), some shortcomings are pointed out in this paper:EGA has a bad performance when the solution of a problem is on the boundary, and sometimes the operator of mutation will cause some mistaken. Some improvements are presented in this paper:new genetic operators of crossover and mutation. Through computing of an example, ones can see that the new algorithm has better performance when the solution is on the boundary.