Application of Artificial bee Colony Algorithm in Path Planning of Mobile Robot
LI Zhu-juan · Jisuanji fangzhen · 2012
Study about optimization problem of path planning of mobile robot.There are many obstacles in the robot work environment,the traditional swarm intelligence algorithm has the defects of premature convergence,low searching efficiency,and it is difficult to obtain the global optimal path.In order to obtain the optimal robot path to avoid the collision,this paper put forward a path planning of mobile robot based on artificial bee colony algorithm.Firstly,the grid method was used to model the robot working environment,and then the robot path planning target point was taken as a nectar source,lastly,the optimal robot path was obtained by the information change and colony cooperative.The results show that the proposed algorithm speeds up the robot path planning and finds the shortest robot path planning quickly.