A path planning method based on adaptive genetic algorithm for mobile robot

作者：Liu Chuanling^*; Liu Huaiwang; Yang Jingyu

来源：Journal of Information and Computational Science, 2011, 8(5): 808-814.

• Adaptive genetic algorithms
• Crossover and mutation
• Fitness values
• Genetic operators
• Optimal paths
• Path planning method
• Path-planning
• Plan paths

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 (Pc and Pm) 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.

• 出版日期2011
• 单位南京理工大学