A Path Planning Method Based on Adaptive Genetic Algorithm for Mobile Robot

摘要

In this paper, a path planning method based on adaptive genetic algorithm for mobile robot is proposed, this method uses the specialized genetic operators and adjusted adaptively the parameters to plan path for mobile robot. In the adaptive genetic algorithm, the probabilities of crossover and mutation (P_c and P_m) are varied depending on the fitness values of the solutions, we use adaptively varying and to optimal path. Experimental results show the feasibility and effectiveness of the algorithm in path planning for mobile robot.