Research on path planning for soccer robot based on improved genenic algorithm

An improved adaptive genetic algorithm was presented on the basic of the further study of genetic algorithm. We improved the crossover operator and mutation operator and introduced the optimization operator and mutation operator. Finally, simulation result shows that, the improved adaptive genetic algorithm effectively resolves the problem of standard genetic algorithm that convergent speed is slow and local searching capability isn´t strong, Thus it optimizes the walking path of soccer robot.