Smooth path planning method of mobile robot based on Hybrid Genetic Algorithm

Abstract:
In view of the characteristics that the path planning of mobile robot is not smooth enough and a single intelligent algorithm is easy to fall into local optimization and slow convergence, floating-point coding method and appropriate fitness function are adopted to make the intelligent algorithm solve the smooth path planning problem appropriately. In order to increase the diversity and convergence speed of population, the basic genetic algorithm and flower pollination algorithm are improved and integrated, A smooth path planning method of mobile robot based on hybrid genetic algorithm is proposed. Simulation experiments are carried out in simple environment, complex environment and the increase of the number of control points. The results show that this scheme can effectively improve the efficiency of path planning, and the overall performance is better than the single genetic or flower pollination algorithm.