The path planning is currently a hot topic of research, especially in the dynamic environment of mobile robot path planning can be refracted into many fields of application.A new genetic algorithm mutation strategy was presented.It was mutation operation of the proposed variation synchronous detection node offree node nearby, by calculating the fitness function value, preferred substitution of mutation node, timely culling of viable path, and making more efficient algorithm converges rapidly.An example of environment of mobile robot path planning was calculated and compared with the other three methods.The results show that the method proposed has higher convergence accuracy, less number of times of iterative which verified the superiority of this method.