Robot global path planning based on improved ant colony algorithm
- 10.2991/icadme-15.2015.392How to use a DOI?
- Mobile robot, Global Path planning, Ant colony algorithm
In this paper, we present a path planning for mobile robot based on improved ant colony optimization algorithm. In order to increasing the algorithm’s convergence speed and avoiding to fall into local optimum, we proposed updating the pheromone residues. Experiments show that this method is effective and feasible.
- © 2015, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Jinguo Wang AU - Na Wang AU - Huiyu Jiang PY - 2015/10 DA - 2015/10 TI - Robot global path planning based on improved ant colony algorithm BT - Proceedings of the 5th International Conference on Advanced Design and Manufacturing Engineering PB - Atlantis Press SP - 2099 EP - 2102 SN - 2352-5401 UR - https://doi.org/10.2991/icadme-15.2015.392 DO - 10.2991/icadme-15.2015.392 ID - Wang2015/10 ER -