International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 96 - Number 11 |
Year of Publication: 2014 |
Authors: Nizar Hadi Abbas, Farah Mahdi Ali |
10.5120/16836-6681 |
Nizar Hadi Abbas, Farah Mahdi Ali . Path Planning of an Autonomous Mobile Robot using Directed Artificial Bee Colony Algorithm. International Journal of Computer Applications. 96, 11 ( June 2014), 11-16. DOI=10.5120/16836-6681
This paper describes the problem of offline autonomous mobile robot path planning, which is consist of generating optimal paths or trajectories for an autonomous mobile robot from a starting point to a destination across a flat map of a terrain, represented by a 2-D workspace. An improved algorithm for solving the problem of path planning using Artificial Bee Colony algorithm is presented. This nature-inspired metaheuristic algorithm, which imitates the foraging behavior of bees around their hive, is used to find the optimal path from a starting point to a target point. The proposed algorithm is demonstrated by simulations in three different environments. A comparative study is evaluated between the developed algorithm, the original ABC and other two state-of-the-art algorithms. This study shows that the proposed method is effective and gets trajectories with satisfactory results.