The Multi-object Path Planning Based on Penalty Function NPGA

On the base of analyzing the traditional path planning methods of the robots, the paper looks path planning as a multi-object optimize problem, set the athletics model which can planning the path for the dynamic object. The simulation result shows that: compared with the traditional path planning methods, the PNPGA can find a reasonable path with the robot has high stamina.