Application of the improved genetic algorithm in robot path planning

Wang Rui, Wang Jinguo, Wang Na
2015 Proceedings of the 2015 Joint International Mechanical, Electronic and Information Technology Conference   unpublished
In order to improve the algorithm efficiency, expand the scope of application, we study the mobile robot path planning technology based on improved genetic algorithm. In this paper, we design a new adaptive function, which contains the path length information, the collision penalty factor, and the path gap factor. Experimental results express that the method can search the optimal path between the starting point and the target point.
doi:10.2991/jimet-15.2015.203 fatcat:4ab5des5jfdc7osnvbpchjgv3m